Merge branch 'nh/streaming-transformer' into nh/subgraph-lifecycle

feat(langgraph): route invoke messages through v2 via StreamingHandler (#7546 )
move toward lifecycle transformer instead of callback handler
2026-08-27 01:52:25 +02:00 · 2026-04-27 09:40:51 -04:00 · 2026-04-24 16:59:07 -04:00 · 2026-04-24 16:55:41 -04:00 · 2026-04-20 16:22:18 -04:00 · 2026-04-20 16:13:08 -04:00
125 changed files with 4908 additions and 20369 deletions
@@ -121,8 +121,8 @@ jobs:
            exit 1
          fi
          LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
-          if [ "$LANGCHAIN_OPENAI_VERSION" != "1.1.14" ]; then
-            echo "LANGCHAIN_OPENAI_VERSION != 1.1.14; $LANGCHAIN_OPENAI_VERSION"
+          if [ "$LANGCHAIN_OPENAI_VERSION" != "1.0.1" ]; then
+            echo "LANGCHAIN_OPENAI_VERSION != 1.0.1; $LANGCHAIN_OPENAI_VERSION"
            exit 1
          fi
          LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
@@ -33,7 +33,7 @@ jobs:
          cache-suffix: test-${{ inputs.working-directory }}
          working-directory: ${{ inputs.working-directory }}
      - name: Login to Docker Hub
-        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
        if: ${{ !github.event.pull_request.head.repo.fork }}
        with:
          username: ${{ secrets.DOCKERHUB_USERNAME }}
@@ -31,7 +31,7 @@ jobs:
          cache-suffix: "test-langgraph"
          working-directory: libs/langgraph
      - name: Login to Docker Hub
-        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
+        uses: docker/login-action@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
        if: ${{ !github.event.pull_request.head.repo.fork }}
        with:
          username: ${{ secrets.DOCKERHUB_USERNAME }}
@@ -82,7 +82,7 @@ jobs:
          path: ${{ inputs.working-directory }}/dist/

      - name: Publish to test PyPI
-        uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
+        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
        with:
          packages-dir: ${{ inputs.working-directory }}/dist/
          verbose: true
@@ -57,7 +57,7 @@ jobs:
            echo EOF
          } >> "$GITHUB_OUTPUT"
      - name: Annotation
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          script: |
            const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
@@ -40,7 +40,7 @@ jobs:
        uses: actions/configure-pages@v6

      - name: Upload artifact
-        uses: actions/upload-pages-artifact@v5
+        uses: actions/upload-pages-artifact@v4
        with:
          path: 'docs/_site'

@@ -276,7 +276,7 @@ jobs:
          path: ${{ inputs.working-directory }}/dist/

      - name: Publish package distributions to PyPI
-        uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
+        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
        with:
          packages-dir: ${{ inputs.working-directory }}/dist/
          verbose: true
@@ -26,7 +26,7 @@ jobs:

    steps:
      - name: Find and reopen matching PRs
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -50,7 +50,7 @@ jobs:
    steps:
      - name: Check for issue link and assignee
        id: check-link
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -283,7 +283,7 @@ jobs:
        if: >-
          env.ENFORCE_ISSUE_LINK == 'true' &&
          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -312,7 +312,7 @@ jobs:
        if: >-
          env.ENFORCE_ISSUE_LINK == 'true' &&
          steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -366,7 +366,7 @@ jobs:
        if: >-
          env.ENFORCE_ISSUE_LINK == 'true' &&
          (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          script: |
            const { owner, repo } = context.repo;
@@ -63,7 +63,7 @@ jobs:
      - name: Check if contributor is external
        if: steps.app-token.outcome == 'success'
        id: check-membership
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          github-token: ${{ steps.app-token.outputs.token }}
          script: |
@@ -102,7 +102,7 @@ jobs:

      - name: Apply contributor tier label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -155,7 +155,7 @@ jobs:

      - name: Add external label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -168,7 +168,7 @@ jobs:

      - name: Add internal label
        if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -196,7 +196,7 @@ jobs:
          private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}

      - name: Backfill labels
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          github-token: ${{ steps.app-token.outputs.token }}
          script: |
@@ -48,7 +48,7 @@ jobs:
      - name: Check if contributor is external
        if: steps.app-token.outcome == 'success'
        id: check-membership
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          github-token: ${{ steps.app-token.outputs.token }}
          script: |
@@ -90,7 +90,7 @@ jobs:
      # event fires and triggers require_issue_link.yml.
      - name: Apply contributor tier label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          # Use App token so the "labeled" event propagates to downstream
          # workflows (e.g. require_issue_link.yml).
@@ -145,7 +145,7 @@ jobs:

      - name: Add external label
        if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          # Use App token so the "labeled" event propagates to downstream
          # workflows (e.g. require_issue_link.yml). Events created by the
@@ -161,7 +161,7 @@ jobs:

      - name: Add internal label
        if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v9
+        uses: actions/github-script@v8
        with:
          github-token: ${{ secrets.GITHUB_TOKEN }}
          script: |
@@ -28,7 +28,7 @@ jobs:
        run: make lock-upgrade
          
      - name: Create Pull Request
-        uses: peter-evans/create-pull-request@5f6978faf089d4d20b00c7766989d076bb2fc7f1 # v8
+        uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
        with:
          token: ${{ secrets.GITHUB_TOKEN }}
          commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"
@@ -100,4 +100,3 @@ dmypy.json
 .turbo
 .editorconfig
 .scratch
-.worktrees/
@@ -16,7 +16,7 @@
  <a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
  <a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
-  <a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
+  <a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
 </div>

 <br>
@@ -27,10 +27,10 @@ Trusted by companies shaping the future of agents – including Klarna, Replit,
 pip install -U langgraph
 ```

-> [!TIP]
-> If you're looking to quickly build agents, check out **[Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview)** — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks.
+If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).

-For an equivalent JS/TS library, check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
+> [!NOTE]
+> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).

 ## Why use LangGraph?

@@ -51,7 +51,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L

 To improve your LLM application development, pair LangGraph with:

- [Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
+- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
 - [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
 - [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
 - [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
@@ -250,15 +250,15 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.3"
+version = "4.0.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "langchain-core" },
    { name = "ormsgpack" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/7c/e1/885e49cdafceb4c74dae4573bc5dd6054c6c640382ee73104532f33dca46/langgraph_checkpoint-4.0.3.tar.gz", hash = "sha256:a7b5e2ca18fb79b55edf19396d4ee446f8a53dcb7a4ec62ce6f1c7e00bb5af7f", size = 174009, upload-time = "2026-04-27T14:34:02.777Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/b1/44/a8df45d1e8b4637e29789fa8bae1db022c953cc7ac80093cfc52e923547e/langgraph_checkpoint-4.0.1.tar.gz", hash = "sha256:b433123735df11ade28829e40ce25b9be614930cd50245ff2af60629234befd9", size = 158135, upload-time = "2026-02-27T21:06:16.092Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/19/ee/ecd3fa2e893746dde3b768daca2a4935208bc77d09445437ccfffb4a8c9b/langgraph_checkpoint-4.0.3-py3-none-any.whl", hash = "sha256:b91b765712a2311a5b198760f714b7ab9b376d01c047ed78d9b9a3e80df802a3", size = 51682, upload-time = "2026-04-27T14:34:01.51Z" },
+    { url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
 ]

 [[package]]
@@ -306,7 +306,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.7.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -319,9 +319,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/8d/bc/8172fefad4f2da888a6d564a27d1fb7d4dbf3c640899c2b40c46235cbe98/langsmith-0.7.3.tar.gz", hash = "sha256:0223b97021af62d2cf53c8a378a27bd22e90a7327e45b353e0069ae60d5d6f9e", size = 988575, upload-time = "2026-02-13T23:25:32.916Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/f4/9d/5a68b6b5e313ffabbb9725d18a71edb48177fd6d3ad329c07801d2a8e862/langsmith-0.7.3-py3-none-any.whl", hash = "sha256:03659bf9274e6efcead361c9c31a7849ea565ae0d6c0d73e1d8b239029eff3be", size = 325718, upload-time = "2026-02-13T23:25:31.52Z" },
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 [[package]]
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+version = "0.15.8"
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 ]

 [[package]]
@@ -2,9 +2,9 @@ from __future__ import annotations

 import threading
 from collections import defaultdict
-from collections.abc import Iterator, Mapping, Sequence
+from collections.abc import Iterator, Sequence
 from contextlib import contextmanager
-from typing import Any, cast
+from typing import Any

 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -13,25 +13,17 @@ from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
-    DeltaChannelHistory,
    get_checkpoint_id,
    get_serializable_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.base import SerializerProtocol
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
 from psycopg import Capabilities, Connection, Cursor, Pipeline
 from psycopg.rows import DictRow, dict_row
 from psycopg.types.json import Jsonb
 from psycopg_pool import ConnectionPool

 from langgraph.checkpoint.postgres import _internal
-from langgraph.checkpoint.postgres.base import (
-    _DELTA_PAGE_SIZE,
-    BasePostgresSaver,
-    _build_delta_stage1_sql,
-    _build_delta_stage2_sql,
-    _DeltaStage2Row,
-)
+from langgraph.checkpoint.postgres.base import BasePostgresSaver
 from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver

 Conn = _internal.Conn  # For backward compatibility
@@ -310,10 +302,7 @@ class PostgresSaver(BasePostgresSaver):
        # others are stored in blobs table
        blob_values = {}
        for k, v in checkpoint["channel_values"].items():
-            if isinstance(v, _DeltaSnapshot):
-                blob_values[k] = copy["channel_values"].pop(k)
-                copy["channel_values"][k] = True
-            elif v is None or isinstance(v, (str, int, float, bool)):
+            if v is None or isinstance(v, (str, int, float, bool)):
                pass
            else:
                blob_values[k] = copy["channel_values"].pop(k)
@@ -441,114 +430,6 @@ class PostgresSaver(BasePostgresSaver):
                with conn.cursor(binary=True, row_factory=dict_row) as cur:
                    yield cur

-    def get_delta_channel_history(
-        self, *, config: RunnableConfig, channels: Sequence[str]
-    ) -> Mapping[str, DeltaChannelHistory]:
-        """Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.
-
-        Two-stage query, both stages cover ALL requested channels:
-
-        * Stage 1 (paged): dynamic SELECT over `checkpoints` with K parallel
-          JSONB key lookups (one column pair per channel) — no subquery, no
-          aggregation. Pages newest-first by `checkpoint_id` with a cursor;
-          page size is `_DELTA_PAGE_SIZE`. Stops paging when every channel
-          has found its seed or the chain is exhausted.
-
-        * Stage 2 (per-channel UNION ALL): one branch per channel reading
-          `checkpoint_writes` filtered to that channel's specific
-          `chain_cids`, plus one branch per channel that has a seed reading
-          `checkpoint_blobs` for that channel + version. Avoids the
-          over-fetch of a single `channel = ANY(channels)` filter when
-          channels have different chain depths.
-        """
-        if not channels:
-            return {}
-        channels = list(channels)
-        thread_id = config["configurable"]["thread_id"]
-        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = get_checkpoint_id(config)
-        if checkpoint_id is None:
-            target = self.get_tuple(config)
-            if target is None:
-                return {ch: {"writes": []} for ch in channels}
-            checkpoint_id = target.config["configurable"]["checkpoint_id"]
-
-        # Stage 1: paged K-JSONB-lookup scan, walking the parent chain in
-        # Python after each page. Stops as soon as every channel has its seed.
-        stage1_sql = _build_delta_stage1_sql(channels, paged=True)
-        parent_of: dict[str, str | None] = {}
-        ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
-        hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
-        walk_cursor_by_ch: dict[str, str | None] = {}
-        seeded: set[str] = set()
-        cursor: str | None = None
-
-        with self._cursor() as cur:
-            while True:
-                stage1_params: list[Any] = []
-                for ch in channels:
-                    stage1_params.extend([ch, ch])
-                stage1_params.extend(
-                    [thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
-                )
-                cur.execute(stage1_sql, stage1_params)
-                page = cur.fetchall()
-                if not page:
-                    break
-                oldest = self._ingest_stage1_page(
-                    cast("list[Mapping[str, Any]]", page),
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                )
-                self._try_advance_walks(
-                    checkpoint_id,
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                    chain_by_ch,
-                    seed_ver_by_ch,
-                    walk_cursor_by_ch,
-                    seeded,
-                )
-                # Stop if every channel is seeded, or the page was short
-                # (chain exhausted — no more rows to fetch).
-                if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
-                    break
-                cursor = oldest
-
-        # Stage 2: per-channel UNION ALL — one writes branch per channel
-        # with non-empty chain, plus one blob branch per seeded channel.
-        channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
-        channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
-        stage2_sql = _build_delta_stage2_sql(
-            channels_with_chain=channels_with_chain,
-            channels_with_seed=channels_with_seed,
-        )
-
-        if stage2_sql:
-            stage2_params: list[Any] = []
-            for ch in channels_with_chain:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
-            for ch in channels_with_seed:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
-            with self._cursor() as cur:
-                cur.execute(stage2_sql, stage2_params)
-                stage2_rows = cur.fetchall()
-        else:
-            stage2_rows = []
-
-        return self._build_delta_channels_writes_history(
-            channels=channels,
-            chain_by_ch=chain_by_ch,
-            seed_ver_by_ch=seed_ver_by_ch,
-            stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
-        )
-
    def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
        """
        Convert a database row into a CheckpointTuple object.
@@ -2,9 +2,9 @@ from __future__ import annotations

 import asyncio
 from collections import defaultdict
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Iterator, Sequence
 from contextlib import asynccontextmanager
-from typing import Any, cast
+from typing import Any

 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
@@ -13,25 +13,17 @@ from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
-    DeltaChannelHistory,
    get_checkpoint_id,
    get_serializable_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.base import SerializerProtocol
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
 from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
 from psycopg.rows import DictRow, dict_row
 from psycopg.types.json import Jsonb
 from psycopg_pool import AsyncConnectionPool

 from langgraph.checkpoint.postgres import _ainternal
-from langgraph.checkpoint.postgres.base import (
-    _DELTA_PAGE_SIZE,
-    BasePostgresSaver,
-    _build_delta_stage1_sql,
-    _build_delta_stage2_sql,
-    _DeltaStage2Row,
-)
+from langgraph.checkpoint.postgres.base import BasePostgresSaver
 from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver

 Conn = _ainternal.Conn  # For backward compatibility
@@ -269,10 +261,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
        # others are stored in blobs table
        blob_values = {}
        for k, v in checkpoint["channel_values"].items():
-            if isinstance(v, _DeltaSnapshot):
-                blob_values[k] = copy["channel_values"].pop(k)
-                copy["channel_values"][k] = True
-            elif v is None or isinstance(v, (str, int, float, bool)):
+            if v is None or isinstance(v, (str, int, float, bool)):
                pass
            else:
                blob_values[k] = copy["channel_values"].pop(k)
@@ -402,97 +391,6 @@ class AsyncPostgresSaver(BasePostgresSaver):
                async with conn.cursor(binary=True, row_factory=dict_row) as cur:
                    yield cur

-    async def aget_delta_channel_history(
-        self, *, config: RunnableConfig, channels: Sequence[str]
-    ) -> Mapping[str, DeltaChannelHistory]:
-        """Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
-
-        See `PostgresSaver.get_delta_channel_history` for design notes; this is
-        the async equivalent with internal stage-1 paging and per-channel
-        UNION ALL stage-2.
-        """
-        if not channels:
-            return {}
-        channels = list(channels)
-        thread_id = config["configurable"]["thread_id"]
-        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = get_checkpoint_id(config)
-        if checkpoint_id is None:
-            target = await self.aget_tuple(config)
-            if target is None:
-                return {ch: {"writes": []} for ch in channels}
-            checkpoint_id = target.config["configurable"]["checkpoint_id"]
-
-        stage1_sql = _build_delta_stage1_sql(channels, paged=True)
-        parent_of: dict[str, str | None] = {}
-        ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
-        hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
-        walk_cursor_by_ch: dict[str, str | None] = {}
-        seeded: set[str] = set()
-        cursor: str | None = None
-
-        async with self._cursor() as cur:
-            while True:
-                stage1_params: list[Any] = []
-                for ch in channels:
-                    stage1_params.extend([ch, ch])
-                stage1_params.extend(
-                    [thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
-                )
-                await cur.execute(stage1_sql, stage1_params)
-                page = await cur.fetchall()
-                if not page:
-                    break
-                oldest = self._ingest_stage1_page(
-                    cast("list[Mapping[str, Any]]", page),
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                )
-                self._try_advance_walks(
-                    checkpoint_id,
-                    channels,
-                    parent_of,
-                    ver_by_i_by_cid,
-                    hs_by_i_by_cid,
-                    chain_by_ch,
-                    seed_ver_by_ch,
-                    walk_cursor_by_ch,
-                    seeded,
-                )
-                if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
-                    break
-                cursor = oldest
-
-        channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
-        channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
-        stage2_sql = _build_delta_stage2_sql(
-            channels_with_chain=channels_with_chain,
-            channels_with_seed=channels_with_seed,
-        )
-
-        if stage2_sql:
-            stage2_params: list[Any] = []
-            for ch in channels_with_chain:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
-            for ch in channels_with_seed:
-                stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
-            async with self._cursor() as cur:
-                await cur.execute(stage2_sql, stage2_params)
-                stage2_rows = await cur.fetchall()
-        else:
-            stage2_rows = []
-
-        return self._build_delta_channels_writes_history(
-            channels=channels,
-            chain_by_ch=chain_by_ch,
-            seed_ver_by_ch=seed_ver_by_ch,
-            stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
-        )
-
    async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:
        """
        Convert a database row into a CheckpointTuple object.
@@ -2,26 +2,20 @@ from __future__ import annotations

 import random
 import warnings
-from collections.abc import Mapping, Sequence
+from collections.abc import Sequence
 from importlib.metadata import version as get_version
-from typing import Any, TypedDict, cast
+from typing import Any, cast

 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
    WRITES_IDX_MAP,
    BaseCheckpointSaver,
    ChannelVersions,
-    DeltaChannelHistory,
-    PendingWrite,
    get_checkpoint_id,
 )
 from langgraph.checkpoint.serde.types import TASKS
 from psycopg.types.json import Jsonb

-# Page size for stage-1 paged scan in `get_delta_channel_history`. Internal
-# constant — exposing this as a kwarg is left as a follow-up.
-_DELTA_PAGE_SIZE = 1024
-
 MetadataInput = dict[str, Any] | None

 try:
@@ -159,141 +153,6 @@ INSERT_CHECKPOINT_WRITES_SQL = """
 """


-class _DeltaStage2Row(TypedDict, total=False):
-    """One row from `_build_delta_stage2_sql` (a UNION ALL of writes and blobs)."""
-
-    _kind: str  # "w" or "b"
-    checkpoint_id: str | None  # "w" rows only
-    channel: str | None  # set on both "w" and "b" rows
-    type: str | None
-    blob: bytes | None
-    task_id: str | None  # "w" rows only
-    idx: int | None  # "w" rows only
-    version: str | None  # "b" rows only
-
-
-# Multi-channel two-stage DeltaChannel reconstruction.
-#
-# Stage 1 scans checkpoint metadata (no blob bytes) and emits one row per
-# checkpoint with K parallel JSONB key lookups (one column pair per
-# requested delta channel: ver_i / hs_i).  No subqueries, no aggregation.
-# Python walks the parent chain once across all channels.
-#
-# Stage 2 fetches all writes and the seed blobs for ALL channels in a
-# single roundtrip via `channel = ANY(%s)` and chain/seed-version
-# filtering.
-#
-# Empirical comparison vs an alternative "ship full channel_versions /
-# channel_values JSONB and let Python pick" form (1000 checkpoints,
-# 8 total channels in graph, 3 delta channels requested):
-#
-#   Postgres execution:    A=0.24ms vs B=0.38ms   (both negligible)
-#   End-to-end latency:    A=6.83ms vs B=2.28ms   (B is 3.0x faster)
-#   Wire payload:          A=836KB  vs B=330KB    (61% smaller)
-#   Buffer hits:           identical (167 blocks)
-#
-# B (this dynamic-columns design) wins because it avoids JSONB
-# serialization on the wire and JSONB-to-dict deserialization in
-# psycopg.  Even at K=8 (8 delta channels = 16 dynamic columns), B
-# still beats A end-to-end (4.2ms vs 6.8ms).
-
-
-def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
-    """Build stage 1 SQL with 2K parallel JSONB key lookups.
-
-    For channels=["messages", "files"] (with `paged=True`) the result is::
-
-        SELECT checkpoint_id, parent_checkpoint_id,
-               checkpoint -> 'channel_versions' ->> %s AS ver_0,
-               (checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_0,
-               checkpoint -> 'channel_versions' ->> %s AS ver_1,
-               (checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_1
-        FROM checkpoints
-        WHERE thread_id = %s AND checkpoint_ns = %s
-          AND (%s::text IS NULL OR checkpoint_id < %s)
-        ORDER BY checkpoint_id DESC
-        LIMIT %s
-
-    Channel names are passed as `%s` parameters (safe from SQL injection).
-    Only the column aliases `ver_i` / `hs_i` are interpolated into the
-    SQL string (i is bounded by len(channels) and uses safe identifiers).
-
-    Caller must extend params with `[ch_0, ch_0, ch_1, ch_1, ...,
-    thread_id, ns, cursor, cursor, page_size]` when `paged=True`.
-
-    When `paged=False`, the WHERE has no cursor predicate and there's no
-    LIMIT/ORDER BY — kept as a non-public helper for tests/diagnostics.
-    """
-    cols = []
-    for i in range(len(channels)):
-        cols.append(
-            f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}, "
-            f"(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_{i}"
-        )
-    sql = (
-        "SELECT checkpoint_id, parent_checkpoint_id, "
-        + ", ".join(cols)
-        + " FROM checkpoints WHERE thread_id = %s AND checkpoint_ns = %s"
-    )
-    if paged:
-        sql += (
-            " AND (%s::text IS NULL OR checkpoint_id < %s)"
-            " ORDER BY checkpoint_id DESC LIMIT %s"
-        )
-    return sql
-
-
-def _build_delta_stage2_sql(
-    *,
-    channels_with_chain: Sequence[str],
-    channels_with_seed: Sequence[str],
-) -> str:
-    """Build stage 2 SQL as a per-channel UNION ALL.
-
-    For each channel with a non-empty chain, emit one branch reading
-    `checkpoint_writes` for that specific channel + chain_cids. For each
-    channel with a seed_version, emit one branch reading `checkpoint_blobs`
-    for that channel + version. This avoids the over-fetch of the prior
-    `channel = ANY(channels) AND checkpoint_id = ANY(union)` form when
-    channels have different chain depths.
-
-    The caller must pass parameters in matching order:
-
-        for ch in channels_with_chain:
-            params += [thread_id, checkpoint_ns, ch, chain_cids[ch]]
-        for ch in channels_with_seed:
-            params += [thread_id, checkpoint_ns, ch, seed_version[ch]]
-
-    Returns an empty SQL string if both channel lists are empty (caller
-    must skip executing in that case).
-    """
-    branches: list[str] = []
-    for _ in channels_with_chain:
-        branches.append(
-            "SELECT 'w'::text AS _kind, "
-            "checkpoint_id, channel, "
-            "type, blob, task_id, idx, NULL::text AS version "
-            "FROM checkpoint_writes "
-            "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
-            "AND checkpoint_id = ANY(%s)"
-        )
-    for _ in channels_with_seed:
-        branches.append(
-            "SELECT 'b'::text, NULL, channel, "
-            "type, blob, NULL, NULL, version "
-            "FROM checkpoint_blobs "
-            "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
-            "AND version = %s"
-        )
-    return " UNION ALL ".join(branches)
-
-
-# Stage 1 rows are dynamic-shape dicts: {checkpoint_id, parent_checkpoint_id,
-# ver_0, hs_0, ver_1, hs_1, ...}.  Walking is parameterized by the channel
-# list to map indices back to channel names — no static TypedDict here.
-# `dict[str, Any]` is the practical signature.
-
-
 class BasePostgresSaver(BaseCheckpointSaver[str]):
    SELECT_SQL = SELECT_SQL
    SELECT_PENDING_SENDS_SQL = SELECT_PENDING_SENDS_SQL
@@ -336,146 +195,6 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
            if t.decode() != "empty"
        }

-    @staticmethod
-    def _ingest_stage1_page(
-        stage1_rows: Sequence[Mapping[str, Any]],
-        channels: Sequence[str],
-        parent_of: dict[str, str | None],
-        ver_by_i_by_cid: list[dict[str, str | None]],
-        hs_by_i_by_cid: list[dict[str, bool]],
-    ) -> str | None:
-        """Fold one stage-1 page into the running walk-state mappings.
-
-        Returns the oldest checkpoint_id seen on this page (smallest, since
-        pages come back DESC). Caller uses it as the cursor for the next
-        page (`AND checkpoint_id < cursor`).
-        """
-        oldest: str | None = None
-        for r in stage1_rows:
-            cid = cast(str, r["checkpoint_id"])
-            parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
-            for i in range(len(channels)):
-                ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
-                hs_by_i_by_cid[i][cid] = bool(r.get(f"hs_{i}"))
-            # Rows are DESC; the last one is the smallest cid in the page.
-            oldest = cid
-        return oldest
-
-    @staticmethod
-    def _try_advance_walks(
-        target_id: str,
-        channels: Sequence[str],
-        parent_of: Mapping[str, str | None],
-        ver_by_i_by_cid: Sequence[Mapping[str, str | None]],
-        hs_by_i_by_cid: Sequence[Mapping[str, bool]],
-        chain_by_ch: dict[str, list[str]],
-        seed_ver_by_ch: dict[str, str | None],
-        walk_cursor_by_ch: dict[str, str | None],
-        seeded: set[str],
-    ) -> None:
-        """Advance each not-yet-seeded channel's walk as far as possible.
-
-        Uses the partial `parent_of` map accumulated so far. A walk stops
-        either because:
-          (a) it found a snapshot for its channel (channel becomes seeded),
-          (b) it reached a real root (parent_of[cid] is None — fully
-              materialized at this point), or
-          (c) the next ancestor cid isn't in `parent_of` yet (waiting for
-              a later page; the cursor stays put).
-
-        Mutates `chain_by_ch`, `seed_ver_by_ch`, `walk_cursor_by_ch`, and
-        `seeded` in place.
-        """
-        for i, ch in enumerate(channels):
-            if ch in seeded:
-                continue
-            # First-time entry: cursor starts at the target's parent.
-            if ch not in walk_cursor_by_ch:
-                walk_cursor_by_ch[ch] = parent_of.get(target_id)
-            cur_cid = walk_cursor_by_ch[ch]
-            ch_chain = chain_by_ch[ch]
-            hs_i = hs_by_i_by_cid[i]
-            ver_i = ver_by_i_by_cid[i]
-            while cur_cid is not None:
-                if cur_cid not in parent_of:
-                    # Need more pages to continue this walk.
-                    break
-                ch_chain.append(cur_cid)
-                if hs_i.get(cur_cid, False):
-                    seed_ver_by_ch[ch] = ver_i.get(cur_cid)
-                    seeded.add(ch)
-                    cur_cid = None
-                    break
-                cur_cid = parent_of[cur_cid]
-            walk_cursor_by_ch[ch] = cur_cid
-
-    def _build_delta_channels_writes_history(
-        self,
-        *,
-        channels: Sequence[str],
-        chain_by_ch: Mapping[str, list[str]],
-        seed_ver_by_ch: Mapping[str, str | None],
-        stage2_rows: Sequence[_DeltaStage2Row],
-    ) -> dict[str, DeltaChannelHistory]:
-        """Demux stage 2 rows per channel; produce per-channel histories.
-
-        stage2_rows carry `channel` on every row. We build per-channel
-        `writes_by_cid` and per-channel `seed_blob` dicts, then assemble
-        a `DeltaChannelHistory` per requested channel. The `seed` key is omitted
-        when the walk reached root with no snapshot found, or when the
-        seed blob is sentinel "empty" — in both cases the consumer treats
-        absence as "start empty".
-        """
-        # writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
-        writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
-            ch: {} for ch in channels
-        }
-        # seed_blob_by_ver[(channel, version)] = (type, blob)
-        seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
-
-        for r in stage2_rows:
-            ch = cast(str, r["channel"])
-            kind = r["_kind"]
-            if kind == "w":
-                cid = cast(str, r["checkpoint_id"])
-                writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
-                    cast(
-                        "tuple[str, bytes, str, int]",
-                        (r["type"], r["blob"], r["task_id"], r["idx"]),
-                    )
-                )
-            else:  # kind == "b"
-                ver = cast(str, r["version"])
-                seed_blob_by_ver[(ch, ver)] = cast(
-                    "tuple[str, bytes]", (r["type"], r["blob"])
-                )
-
-        # Sort writes per (channel, cid) newest-first by (task_id, idx)
-        for cid_map in writes_by_ch_by_cid.values():
-            for ws in cid_map.values():
-                ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
-
-        result: dict[str, DeltaChannelHistory] = {}
-        for ch in channels:
-            chain_cids = chain_by_ch.get(ch, [])
-            seed_version = seed_ver_by_ch.get(ch)
-
-            collected: list[PendingWrite] = []
-            cid_writes = writes_by_ch_by_cid.get(ch, {})
-            for cid in chain_cids:
-                for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
-                    val = self.serde.loads_typed((type_tag, write_blob))
-                    collected.append((task_id, ch, val))
-            collected.reverse()
-
-            entry: DeltaChannelHistory = {"writes": collected}
-            if seed_version is not None:
-                blob = seed_blob_by_ver.get((ch, seed_version))
-                if blob is not None and blob[0] != "empty":
-                    entry["seed"] = self.serde.loads_typed(blob)
-            result[ch] = entry
-        return result
-
    def _dump_blobs(
        self,
        thread_id: str,
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.0a4"
+version = "3.0.5"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-  "langgraph-checkpoint>=4.1.0a4,<5.0.0",
+  "langgraph-checkpoint>=2.1.2,<5.0.0",
  "orjson>=3.11.5",
  "psycopg>=3.2.0",
  "psycopg-pool>=3.2.0",
@@ -20,7 +20,7 @@ dependencies = [

 [project.urls]
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-postgres"
-Twitter = "https://x.com/langchain_oss"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"

@@ -361,9 +361,9 @@ async def test_get_checkpoint_no_channel_values(

        load_checkpoint_tuple = saver._load_checkpoint_tuple

-        async def patched_load_checkpoint_tuple(value):
+        def patched_load_checkpoint_tuple(value):
            value["checkpoint"].pop("channel_values", None)
-            return await load_checkpoint_tuple(value)
+            return load_checkpoint_tuple(value)

        monkeypatch.setattr(
            saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple
@@ -371,47 +371,3 @@ async def test_get_checkpoint_no_channel_values(

        checkpoint = await saver.aget_tuple(config)
        assert checkpoint.checkpoint["channel_values"] == {}
-
-
-@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
-async def test_delta_channel_chain_reconstruction(saver_name: str) -> None:
-    """AsyncPostgresSaver reconstructs DeltaChannel chain via point-lookup traversal."""
-    pytest.importorskip(
-        "langgraph.channels.delta", reason="langgraph core not installed"
-    )
-
-    from typing import Annotated
-
-    from langchain_core.messages import AIMessage, HumanMessage
-    from langgraph.channels.delta import DeltaChannel
-    from langgraph.graph import START, StateGraph
-    from langgraph.graph.message import _messages_delta_reducer
-    from typing_extensions import TypedDict
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    def respond(state: State) -> dict:
-        n = len(state["messages"])
-        return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_edge(START, "respond")
-
-    async with _saver(saver_name) as saver:
-        graph = builder.compile(checkpointer=saver)
-        config = {"configurable": {"thread_id": "diff-channel-test-1"}}
-
-        await graph.ainvoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
-        await graph.ainvoke(
-            {"messages": [HumanMessage(content="there", id="h2")]}, config
-        )
-
-        state = await graph.aget_state(config)
-        msgs = state.values["messages"]
-        assert len(msgs) == 4, f"expected 4, got {len(msgs)}: {msgs}"
-        assert msgs[0].content == "hi"
-        assert msgs[1].content == "reply-1"
-        assert msgs[2].content == "there"
-        assert msgs[3].content == "reply-3"
@@ -1,10 +1,6 @@
 version = 1
 revision = 3
 requires-python = ">=3.10"
-resolution-markers = [
-    "python_full_version >= '3.15'",
-    "python_full_version < '3.15'",
-]

 [[package]]
 name = "annotated-types"
@@ -244,11 +240,10 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.3.2"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
-    { name = "langchain-protocol" },
    { name = "langsmith" },
    { name = "packaging" },
    { name = "pydantic" },
@@ -257,26 +252,14 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a8/03/7219502e8ca728d65eb44d7a3eb60239230742a70dbfc9241b9bfd61c4ab/langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7", size = 911813, upload-time = "2026-04-24T15:49:23.699Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
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-]
-
-[[package]]
-name = "langchain-protocol"
-version = "0.0.15"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions" },
-]
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-wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.0a4"
+version = "4.0.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -324,7 +307,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.0a4"
+version = "3.0.5"
 source = { editable = "." }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -399,7 +382,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.6.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -409,12 +392,11 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
-    { name = "xxhash" },
    { name = "zstandard" },
 ]
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 [[package]]
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+version = "1.20.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -513,51 +495,51 @@ dependencies = [
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-
 [[package]]
 name = "zstandard"
 version = "0.25.0"
@@ -19,7 +19,7 @@ dependencies = [

 [project.urls]
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint-sqlite"
-Twitter = "https://x.com/langchain_oss"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"

@@ -1,271 +0,0 @@
-"""Smoke tests for `BaseCheckpointSaver.get_delta_channel_history` on sqlite.
-
-`SqliteSaver` (and `AsyncSqliteSaver`) deliberately don't override the
-default implementation in `BaseCheckpointSaver` — these tests pin the
-default impl to behave correctly end-to-end against a real persistent
-saver and a real `DeltaChannel`-backed graph.
-
-Scenarios covered:
-
-* Empty `channels` argument returns an empty mapping (no I/O).
-* On a non-trivial multi-checkpoint thread, per-channel writes come back
-  oldest→newest.
-* When the walk reaches the root without ever finding a stored value,
-  `seed` is omitted from the entry (consumer treats absence as "start
-  empty").
-* When a `_DeltaSnapshot` blob is present at an ancestor, it is returned
-  as the `seed`.
-* The async saver returns the same shape via `aget_delta_channel_history`.
-"""
-
-from __future__ import annotations
-
-import operator
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.runnables import RunnableConfig
-
-# `langgraph` is not a dep of `langgraph-checkpoint-sqlite`. When tests run
-# in the sqlite lib's standalone CI environment without it installed, skip
-# the whole module rather than failing at import.
-pytest.importorskip("langgraph.channels.delta", reason="langgraph core not installed")
-pytest.importorskip("langgraph.graph", reason="langgraph core not installed")
-
-from langgraph.channels.delta import DeltaChannel  # type: ignore[import-untyped]  # noqa: E402,I001
-from langgraph.checkpoint.serde.types import _DeltaSnapshot  # noqa: E402
-from langgraph.graph import END, START, StateGraph  # type: ignore[import-untyped]  # noqa: E402
-from typing_extensions import TypedDict  # noqa: E402
-
-from langgraph.checkpoint.sqlite import SqliteSaver  # noqa: E402
-from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver  # noqa: E402
-
-pytestmark = pytest.mark.anyio
-
-
-# ---------------------------------------------------------------------------
-# Graph helpers
-# ---------------------------------------------------------------------------
-
-
-def _noop(_state: Any) -> dict[str, Any]:
-    return {}
-
-
-class _DeltaState(TypedDict):
-    items: Annotated[list, DeltaChannel(operator.add)]
-
-
-def _delta_graph(checkpointer: Any) -> Any:
-    return (
-        StateGraph(_DeltaState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def _drive(graph: Any, config: RunnableConfig, n: int) -> None:
-    for i in range(n):
-        graph.invoke({"items": [f"v{i}"]}, config)
-
-
-async def _adrive(graph: Any, config: RunnableConfig, n: int) -> None:
-    for i in range(n):
-        await graph.ainvoke({"items": [f"v{i}"]}, config)
-
-
-def _pick_non_root(saver: Any, config: RunnableConfig) -> RunnableConfig:
-    """Return a config pointing at a checkpoint that has at least one ancestor.
-
-    `get_delta_channel_history` walks the parent chain — calling it on the root
-    checkpoint produces `writes=[]` and no `seed`, which is uninteresting
-    for the multi-step assertions below.
-    """
-    history = list(saver.list(config))
-    assert history, "expected non-empty history"
-    # `list` yields newest→oldest; the second entry has the first entry
-    # as its parent, so its parent_config is non-None.
-    for tup in history:
-        if tup.parent_config is not None:
-            return tup.config
-    raise AssertionError("no checkpoint with a parent in history")
-
-
-async def _apick_non_root(saver: Any, config: RunnableConfig) -> RunnableConfig:
-    history = [tup async for tup in saver.alist(config)]
-    assert history, "expected non-empty history"
-    for tup in history:
-        if tup.parent_config is not None:
-            return tup.config
-    raise AssertionError("no checkpoint with a parent in history")
-
-
-# ---------------------------------------------------------------------------
-# Sync: SqliteSaver
-# ---------------------------------------------------------------------------
-
-
-def test_empty_channels_returns_empty_mapping_sync() -> None:
-    """Empty `channels` short-circuits to `{}` without touching storage."""
-    with SqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "empty"}}
-        assert saver.get_delta_channel_history(config=config, channels=[]) == {}
-
-
-def test_writes_history_oldest_to_newest_sync() -> None:
-    """Per-channel writes accumulated across the walk come back oldest→newest."""
-    with SqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "history-sync"}}
-        graph = _delta_graph(saver)
-        _drive(graph, config, 3)
-
-        target_cfg = _pick_non_root(saver, config)
-        result = saver.get_delta_channel_history(config=target_cfg, channels=["items"])
-
-        assert "items" in result
-        entry = result["items"]
-        assert isinstance(entry["writes"], list)
-
-        # If any writes were collected, their values should be in oldest→newest
-        # order — i.e. tagged 'v0', 'v1', ... matching invoke order.
-        write_values: list[Any] = []
-        for _task_id, channel, value in entry["writes"]:
-            assert channel == "items"
-            write_values.extend(value if isinstance(value, list) else [value])
-
-        # `_drive` invokes with payloads ['v0'], ['v1'], ['v2']. Whatever
-        # subset shows up in the chain must be a contiguous prefix in order.
-        for idx, val in enumerate(write_values):
-            assert val == f"v{idx}", (
-                f"writes not in oldest→newest order: {write_values}"
-            )
-
-
-def test_seed_present_when_snapshot_in_ancestor_sync() -> None:
-    """Inserting a `_DeltaSnapshot` blob at an ancestor → walk returns it as `seed`."""
-    with SqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "seed-sync"}}
-        graph = _delta_graph(saver)
-        _drive(graph, config, 2)
-
-        # Find the oldest non-root checkpoint, then walk to its parent and
-        # rewrite that parent's `channel_values["items"]` to a real
-        # `_DeltaSnapshot`. After this surgery, calling `get_delta_channel_history`
-        # at the leaf must return the snapshot value as `seed`.
-        history = list(saver.list(config))
-        assert len(history) >= 2
-        leaf_tup = history[0]
-        # Walk to an ancestor with a parent_config (any non-root will do).
-        ancestor_tup = next(
-            (tup for tup in history if tup.parent_config is not None), None
-        )
-        assert ancestor_tup is not None
-        parent_cfg = ancestor_tup.parent_config
-        assert parent_cfg is not None
-        parent_tup = saver.get_tuple(parent_cfg)
-        assert parent_tup is not None
-
-        snapshot_value = ["seeded", "items"]
-        parent_tup.checkpoint["channel_values"]["items"] = _DeltaSnapshot(
-            snapshot_value
-        )
-        # Make sure the channel has a version so the optimized blob lookup
-        # in any future override has something to hit.
-        parent_tup.checkpoint["channel_versions"].setdefault("items", 1)
-        saver.put(
-            parent_tup.parent_config or {"configurable": parent_cfg["configurable"]},
-            parent_tup.checkpoint,
-            parent_tup.metadata,
-            {},
-        )
-
-        result = saver.get_delta_channel_history(
-            config=leaf_tup.config, channels=["items"]
-        )
-        entry = result["items"]
-        assert "seed" in entry, f"expected seed to be present, got {entry}"
-        seed = entry["seed"]
-        assert isinstance(seed, _DeltaSnapshot), (
-            f"expected _DeltaSnapshot, got {seed!r}"
-        )
-        assert seed.value == snapshot_value
-
-
-def test_seed_omitted_when_walk_reaches_root_sync() -> None:
-    """`get_delta_channel_history` on the root checkpoint → no `seed` key, no writes."""
-    with SqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "root-sync"}}
-        graph = _delta_graph(saver)
-        _drive(graph, config, 1)
-
-        history = list(saver.list(config))
-        # Root is the oldest checkpoint (no parent_config).
-        root_tup = history[-1]
-        assert root_tup.parent_config is None
-
-        result = saver.get_delta_channel_history(
-            config=root_tup.config, channels=["items"]
-        )
-        entry = result["items"]
-        assert "seed" not in entry, f"root-walk should have no seed, got {entry}"
-        assert entry["writes"] == []
-
-
-# ---------------------------------------------------------------------------
-# Async: AsyncSqliteSaver
-# ---------------------------------------------------------------------------
-
-
-async def test_empty_channels_returns_empty_mapping_async() -> None:
-    """Async equivalent of the empty-channels short-circuit."""
-    async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "empty-async"}}
-        assert await saver.aget_delta_channel_history(config=config, channels=[]) == {}
-
-
-async def test_writes_history_oldest_to_newest_async() -> None:
-    """Async equivalent of the oldest→newest ordering check."""
-    async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "history-async"}}
-        graph = _delta_graph(saver)
-        await _adrive(graph, config, 3)
-
-        target_cfg = await _apick_non_root(saver, config)
-        result = await saver.aget_delta_channel_history(
-            config=target_cfg, channels=["items"]
-        )
-
-        assert "items" in result
-        entry = result["items"]
-        assert isinstance(entry["writes"], list)
-
-        write_values: list[Any] = []
-        for _task_id, channel, value in entry["writes"]:
-            assert channel == "items"
-            write_values.extend(value if isinstance(value, list) else [value])
-
-        for idx, val in enumerate(write_values):
-            assert val == f"v{idx}", (
-                f"writes not in oldest→newest order: {write_values}"
-            )
-
-
-async def test_seed_omitted_when_walk_reaches_root_async() -> None:
-    """Async equivalent of the root-walk seed-absence check."""
-    async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "root-async"}}
-        graph = _delta_graph(saver)
-        await _adrive(graph, config, 1)
-
-        history = [tup async for tup in saver.alist(config)]
-        root_tup = history[-1]
-        assert root_tup.parent_config is None
-
-        result = await saver.aget_delta_channel_history(
-            config=root_tup.config, channels=["items"]
-        )
-        entry = result["items"]
-        assert "seed" not in entry, f"root-walk should have no seed, got {entry}"
-        assert entry["writes"] == []
@@ -1,10 +1,6 @@
 version = 1
 revision = 3
 requires-python = ">=3.10"
-resolution-markers = [
-    "python_full_version >= '3.15'",
-    "python_full_version < '3.15'",
-]

 [[package]]
 name = "aiosqlite"
@@ -272,7 +268,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.0a4"
+version = "4.0.1"
 source = { editable = "../checkpoint" }
 dependencies = [
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+version = "0.6.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -399,12 +395,11 @@ dependencies = [
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    { name = "requests-toolbelt" },
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@@ -494,7 +489,7 @@ wheels = [

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 name = "mypy"
-version = "1.20.2"
+version = "1.20.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -503,51 +498,51 @@ dependencies = [
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    { name = "typing-extensions" },
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-]
-
 [[package]]
 name = "zstandard"
 version = "0.25.0"
@@ -3,7 +3,7 @@ from __future__ import annotations
 import copy
 import logging
 from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
-from typing import (
+from typing import (  # noqa: UP035
    Any,
    Generic,
    Literal,
@@ -13,7 +13,6 @@ from typing import (
 )

 from langchain_core.runnables import RunnableConfig
-from typing_extensions import NotRequired

 from langgraph.checkpoint.base.id import uuid6
 from langgraph.checkpoint.serde.base import SerializerProtocol, maybe_add_typed_methods
@@ -29,8 +28,6 @@ from langgraph.checkpoint.serde.types import (

 V = TypeVar("V", int, float, str)
 PendingWrite = tuple[str, str, Any]
-
-
 logger = logging.getLogger(__name__)


@@ -60,16 +57,6 @@ class CheckpointMetadata(TypedDict, total=False):
    """
    run_id: str
    """The ID of the run that created this checkpoint."""
-    delta_updates_since_snapshot: dict[str, int]
-    """Per-channel update count since the last `_DeltaSnapshot` was written.
-
-    Maps channel name → number of supersteps that wrote to this channel
-    since its last snapshot blob. Used by `pregel.create_checkpoint` to
-    decide when to write the next snapshot (when the count reaches the
-    channel's `snapshot_frequency`, snapshot fires and the count resets
-    to 0). Absent on threads that don't use delta channels. Version-format
-    independent — works for int, float, and string version schemes.
-    """


 ChannelVersions = dict[str, str | int | float]
@@ -132,28 +119,6 @@ class CheckpointTuple(NamedTuple):
    pending_writes: list[PendingWrite] | None = None


-class DeltaChannelHistory(TypedDict):
-    """Per-channel result entry from `BaseCheckpointSaver.get_delta_channel_history`.
-
-    Storage-level view of what one channel contributed across the ancestor
-    chain of a target checkpoint:
-
-    * `writes` — on-path deltas oldest→newest as `PendingWrite` tuples.
-      Always present; possibly empty. Already filtered to one channel.
-      Writes stored at the target checkpoint itself are pending for the
-      next super-step and are excluded.
-    * `seed` — the stored value at the nearest ancestor whose
-      `channel_values[ch]` is populated. Omitted if the walk reached the
-      root without finding any stored value (consumer treats absence as
-      "start empty"). Typically a `_DeltaSnapshot` for delta channels with
-      finite snapshot frequency, or a plain value for threads migrated
-      from a pre-delta channel type.
-    """
-
-    writes: list[PendingWrite]
-    seed: NotRequired[Any]
-
-
 class BaseCheckpointSaver(Generic[V]):
    """Base class for creating a graph checkpointer.

@@ -492,102 +457,6 @@ class BaseCheckpointSaver(Generic[V]):
        """
        raise NotImplementedError

-    def get_delta_channel_history(
-        self, *, config: RunnableConfig, channels: Sequence[str]
-    ) -> Mapping[str, DeltaChannelHistory]:
-        """Walk the parent chain returning per-channel writes + seed.
-
-        For each requested channel, walks ancestors of the checkpoint
-        identified by `config` (following `parent_config`) and accumulates
-        `pending_writes` for that channel. The walk terminates per-channel
-        at the nearest ancestor whose `channel_values[ch]` is populated;
-        that value is returned as `seed`. If the walk reaches the root
-        without finding a stored value, `seed` is omitted from that
-        channel's entry — the consumer treats the absence as "start
-        empty."
-
-        Walks the **parent chain** (not `list(before=...)`): for forked
-        threads, only on-path ancestors contribute.
-
-        The default implementation walks `get_tuple` + `parent_config`
-        once for all channels — each ancestor visited once, not once per
-        channel. Savers with direct storage access (`InMemorySaver`,
-        `PostgresSaver`) override for performance; the return contract is
-        fixed here.
-
-        Args:
-            config: Configuration identifying the target checkpoint.
-            channels: Channel names to walk for. Empty → empty mapping.
-
-        Returns:
-            Per-channel `DeltaChannelHistory` for every name in `channels`.
-        """
-        if not channels:
-            return {}
-        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
-        seed_by_ch: dict[str, Any] = {}
-        remaining: set[str] = set(channels)
-        target_tuple = self.get_tuple(config)
-        cursor_config: RunnableConfig | None = (
-            target_tuple.parent_config if target_tuple else None
-        )
-        while cursor_config is not None and remaining:
-            tup = self.get_tuple(cursor_config)
-            if tup is None:
-                break
-            if tup.pending_writes:
-                for write in reversed(tup.pending_writes):
-                    ch = write[1]
-                    if ch in remaining:
-                        collected_by_ch[ch].append(write)
-            for ch in list(remaining):
-                if ch in tup.checkpoint["channel_values"]:
-                    seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
-                    remaining.discard(ch)
-            cursor_config = tup.parent_config
-        result: dict[str, DeltaChannelHistory] = {}
-        for ch in channels:
-            entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
-            if ch in seed_by_ch:
-                entry["seed"] = seed_by_ch[ch]
-            result[ch] = entry
-        return result
-
-    async def aget_delta_channel_history(
-        self, *, config: RunnableConfig, channels: Sequence[str]
-    ) -> Mapping[str, DeltaChannelHistory]:
-        """Async version of `get_delta_channel_history`."""
-        if not channels:
-            return {}
-        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
-        seed_by_ch: dict[str, Any] = {}
-        remaining: set[str] = set(channels)
-        target_tuple = await self.aget_tuple(config)
-        cursor_config: RunnableConfig | None = (
-            target_tuple.parent_config if target_tuple else None
-        )
-        while cursor_config is not None and remaining:
-            tup = await self.aget_tuple(cursor_config)
-            if tup is None:
-                break
-            if tup.pending_writes:
-                for write in reversed(tup.pending_writes):
-                    ch = write[1]
-                    if ch in remaining:
-                        collected_by_ch[ch].append(write)
-            for ch in list(remaining):
-                if ch in tup.checkpoint["channel_values"]:
-                    seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
-                    remaining.discard(ch)
-            cursor_config = tup.parent_config
-        result: dict[str, DeltaChannelHistory] = {}
-        for ch in channels:
-            entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
-            if ch in seed_by_ch:
-                entry["seed"] = seed_by_ch[ch]
-            result[ch] = entry
-        return result
-
    def get_next_version(self, current: V | None, channel: None) -> V:
        """Generate the next version ID for a channel.

@@ -6,7 +6,7 @@ import pickle
 import random
 import shutil
 from collections import defaultdict
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Iterator, Sequence
 from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
 from types import TracebackType
 from typing import Any
@@ -20,8 +20,6 @@ from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
-    DeltaChannelHistory,
-    PendingWrite,
    SerializerProtocol,
    get_checkpoint_id,
    get_checkpoint_metadata,
@@ -123,115 +121,16 @@ class InMemorySaver(
        return self.stack.__exit__(__exc_type, __exc_value, __traceback)

    def _load_blobs(
-        self,
-        thread_id: str,
-        checkpoint_ns: str,
-        versions: ChannelVersions,
+        self, thread_id: str, checkpoint_ns: str, versions: ChannelVersions
    ) -> dict[str, Any]:
-        result: dict[str, Any] = {}
-        for k, ver in versions.items():
-            kk = (thread_id, checkpoint_ns, k, ver)
-            if kk not in self.blobs:
-                continue
-            vv = self.blobs[kk]
-            if vv[0] == "empty":
-                continue
-            result[k] = self.serde.loads_typed(vv)
-        return result
-
-    def get_delta_channel_history(
-        self, *, config: RunnableConfig, channels: Sequence[str]
-    ) -> Mapping[str, DeltaChannelHistory]:
-        """Override: walk the parent chain ONCE for all requested channels.
-
-        Each channel terminates independently at the nearest ancestor
-        whose stored blob is non-empty. Other channels keep walking until
-        they find their own terminator or hit the root.
-
-        Pre-delta plain-value blobs subsume their ancestor's pending
-        writes (the value already includes them); `_DeltaSnapshot` blobs
-        do not (snapshot is the value AT that ancestor, prior to its own
-        pending writes that produce the child).
-        """
-        if not channels:
-            return {}
-        # Imported lazily to avoid a hard checkpoint→serde-types coupling at
-        # module import; only this override needs the runtime check.
-        from langgraph.checkpoint.serde.types import _DeltaSnapshot
-
-        thread_id = config["configurable"]["thread_id"]
-        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
-        checkpoint_id = config["configurable"].get("checkpoint_id", "")
-        ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
-
-        chain: list[str] = []
-        target_entry = ns_storage.get(checkpoint_id)
-        current: str | None = target_entry[2] if target_entry is not None else None
-        while current is not None:
-            entry = ns_storage.get(current)
-            if entry is None:
-                break
-            chain.append(current)
-            _, _, parent = entry
-            current = parent
-
-        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
-        seed_by_ch: dict[str, Any] = {}
-        remaining: set[str] = set(channels)
-
-        for cp_id in chain:
-            if not remaining:
-                break
-            entry = ns_storage.get(cp_id)
-            ckpt = self.serde.loads_typed(entry[0]) if entry is not None else None
-
-            terminated_here: set[str] = set()
-            blob_value_by_ch: dict[str, Any] = {}
-            if ckpt is not None:
-                versions = ckpt.get("channel_versions", {})
-                for ch in remaining:
-                    ver = versions.get(ch)
-                    if ver is None:
-                        continue
-                    blob_entry = self.blobs.get((thread_id, checkpoint_ns, ch, ver))
-                    if blob_entry is None or blob_entry[0] == "empty":
-                        continue
-                    blob_value_by_ch[ch] = self.serde.loads_typed(blob_entry)
-                    terminated_here.add(ch)
-
-            step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
-            for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
-                step_writes.items(), reverse=True
-            ):
-                if ch not in remaining:
-                    continue
-                blob_value = blob_value_by_ch.get(ch)
-                if blob_value is not None and not isinstance(
-                    blob_value, _DeltaSnapshot
-                ):
-                    continue
-                collected_by_ch[ch].append(
-                    (tid, ch, self.serde.loads_typed(serialized))
-                )
-
-            for ch in terminated_here:
-                seed_by_ch[ch] = blob_value_by_ch[ch]
-                remaining.discard(ch)
-
-        result: dict[str, DeltaChannelHistory] = {}
-        for ch in channels:
-            entry_h: DeltaChannelHistory = {
-                "writes": list(reversed(collected_by_ch[ch]))
-            }
-            if ch in seed_by_ch:
-                entry_h["seed"] = seed_by_ch[ch]
-            result[ch] = entry_h
-        return result
-
-    async def aget_delta_channel_history(
-        self, *, config: RunnableConfig, channels: Sequence[str]
-    ) -> Mapping[str, DeltaChannelHistory]:
-        return self.get_delta_channel_history(config=config, channels=channels)
+        channel_values: dict[str, Any] = {}
+        for k, v in versions.items():
+            kk = (thread_id, checkpoint_ns, k, v)
+            if kk in self.blobs:
+                vv = self.blobs[kk]
+                if vv[0] != "empty":
+                    channel_values[k] = self.serde.loads_typed(vv)
+        return channel_values

    def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
        """Get a checkpoint tuple from the in-memory storage.
@@ -73,7 +73,6 @@ SAFE_MSGPACK_TYPES: frozenset[tuple[str, ...]] = frozenset(
        ("langchain_core.documents.base", "Document"),
        # langgraph
        ("langgraph.types", "Send"),
-        ("langgraph.types", "TimeoutPolicy"),
        ("langgraph.types", "Interrupt"),
        ("langgraph.types", "Command"),
        ("langgraph.types", "StateSnapshot"),
@@ -33,51 +33,19 @@ from langchain_core.load.load import Reviver
 from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
 from langgraph.checkpoint.serde.base import SerializerProtocol
 from langgraph.checkpoint.serde.event_hooks import emit_serde_event
-from langgraph.checkpoint.serde.types import (
-    SendProtocol,
-    _DeltaSnapshot,
-)
+from langgraph.checkpoint.serde.types import SendProtocol
 from langgraph.store.base import Item

 if TYPE_CHECKING:
    from langgraph.checkpoint.serde._msgpack import (
        AllowedMsgpackModules,
    )
+    from langgraph.checkpoint.serde.types import SendProtocol

 LC_REVIVER = Reviver()
 EMPTY_BYTES = b""
 logger = logging.getLogger(__name__)

-# Dedup log warnings across process lifetime; cap bounds state if types are
-# dynamically generated (also acts as a circuit breaker on warning volume).
-# Dedup is best-effort: racing threads may each emit once for the same key,
-# and warnings are silently dropped once _MAX_WARNED_TYPES is reached.
-_MAX_WARNED_TYPES = 1000
-_warned_unregistered_types: set[tuple[str, str]] = set()
-_warned_blocked_types: set[tuple[str, str]] = set()
-
-
-def _is_safe_json_type(id_list: list[str]) -> bool:
-    """Return True if an lc=2 id refers to a type in SAFE_MSGPACK_TYPES.
-
-    Safe types bypass the ``allowed_json_modules`` gate so that old "json" format
-    checkpoints (written before the msgpack migration) can be resumed without
-    requiring users to configure an explicit allowlist.
-    """
-    if len(id_list) < 2:
-        return False
-    module_name = ".".join(id_list[:-1])
-    return (module_name, id_list[-1]) in _lg_msgpack.SAFE_MSGPACK_TYPES
-
-
-def _warn_once(
-    seen: set[tuple[str, str]], key: tuple[str, str], msg: str, *args: object
-) -> None:
-    if key in seen or len(seen) >= _MAX_WARNED_TYPES:
-        return
-    seen.add(key)
-    logger.warning(msg, *args)
-

 class JsonPlusSerializer(SerializerProtocol):
    """Serializer that uses ormsgpack, with optional fallbacks.
@@ -179,23 +147,19 @@ class JsonPlusSerializer(SerializerProtocol):
        return out

    def _reviver(self, value: dict[str, Any]) -> Any:
-        if (
+        if self._allowed_json_modules and (
            value.get("lc", None) == 2
            and value.get("type", None) == "constructor"
            and value.get("id", None) is not None
        ):
-            id_list = value["id"]
-            is_safe = _is_safe_json_type(id_list)
-            if self._allowed_json_modules or is_safe:
-                try:
-                    return self._revive_lc2(value)
-                except InvalidModuleError as e:
-                    if not is_safe:
-                        logger.warning(
-                            "Object %s is not in the deserialization allowlist.\n%s",
-                            value["id"],
-                            e.message,
-                        )
+            try:
+                return self._revive_lc2(value)
+            except InvalidModuleError as e:
+                logger.warning(
+                    "Object %s is not in the deserialization allowlist.\n%s",
+                    value["id"],
+                    e.message,
+                )

        return LC_REVIVER(value)

@@ -243,13 +207,6 @@ class JsonPlusSerializer(SerializerProtocol):
            method_display = "<init>"

        dotted = ".".join(needed)
-        # Safe types (the same set already allowed for msgpack deserialization) are
-        # permitted without an explicit allowlist — they are known-safe LangGraph and
-        # LangChain types.  This restores backwards-compat for old "json" checkpoints
-        # that pre-date the msgpack migration without reopening the broader security gate.
-        if _is_safe_json_type(list(needed)):
-            return
-
        if not self._allowed_json_modules:
            raise InvalidModuleError(
                f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
@@ -319,13 +276,10 @@ EXT_METHOD_SINGLE_ARG = 3
 EXT_PYDANTIC_V1 = 4
 EXT_PYDANTIC_V2 = 5
 EXT_NUMPY_ARRAY = 6
-EXT_DELTA_SNAPSHOT = 7


 def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
-    if isinstance(obj, _DeltaSnapshot):
-        return ormsgpack.Ext(EXT_DELTA_SNAPSHOT, _msgpack_enc(obj.value))
-    elif hasattr(obj, "model_dump") and callable(obj.model_dump):  # pydantic v2
+    if hasattr(obj, "model_dump") and callable(obj.model_dump):  # pydantic v2
        return ormsgpack.Ext(
            EXT_PYDANTIC_V2,
            _msgpack_enc(
@@ -497,13 +451,10 @@ def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
            ),
        )
    elif isinstance(obj, SendProtocol):
-        args: tuple[Any, ...] = (obj.node, obj.arg)
-        if (timeout := getattr(obj, "timeout", None)) is not None:
-            args = (obj.node, obj.arg, timeout)
        return ormsgpack.Ext(
            EXT_CONSTRUCTOR_POS_ARGS,
            _msgpack_enc(
-                (obj.__class__.__module__, obj.__class__.__name__, args),
+                (obj.__class__.__module__, obj.__class__.__name__, (obj.node, obj.arg)),
            ),
        )
    elif dataclasses.is_dataclass(obj):
@@ -554,15 +505,6 @@ def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
        raise TypeError(f"Object of type {obj.__class__.__name__} is not serializable")


-def _send_from_args(args: Sequence[Any]) -> Any:
-    # ya we have a cyclic import here ¯\_(ツ)_/¯
-    from langgraph.types import Send  # type: ignore
-
-    if len(args) == 2:
-        return Send(*args)
-    return Send(args[0], args[1], timeout=args[2])
-
-
 def _create_msgpack_ext_hook(
    allowed_modules: set[tuple[str, ...]] | Literal[True] | None,
 ) -> Callable[[int, bytes], Any]:
@@ -592,9 +534,7 @@ def _create_msgpack_ext_hook(
                    "name": name,
                }
            )
-            _warn_once(
-                _warned_unregistered_types,
-                key,
+            logger.warning(
                "Deserializing unregistered type %s.%s from checkpoint. "
                "This will be blocked in a future version. "
                "Set LANGGRAPH_STRICT_MSGPACK=true to block now, or add "
@@ -616,9 +556,7 @@ def _create_msgpack_ext_hook(
                "name": name,
            }
        )
-        _warn_once(
-            _warned_blocked_types,
-            key,
+        logger.warning(
            "Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
            "Add to allowed_msgpack_modules to allow: [(%r, %r)]",
            module,
@@ -651,13 +589,7 @@ def _create_msgpack_ext_hook(
        return False

    def ext_hook(code: int, data: bytes) -> Any:
-        if code == EXT_DELTA_SNAPSHOT:
-            return _DeltaSnapshot(
-                ormsgpack.unpackb(
-                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
-                )
-            )
-        elif code == EXT_CONSTRUCTOR_SINGLE_ARG:
+        if code == EXT_CONSTRUCTOR_SINGLE_ARG:
            try:
                tup = ormsgpack.unpackb(
                    data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
@@ -678,8 +610,6 @@ def _create_msgpack_ext_hook(
                )
                if not _check_allowed(tup[0], tup[1]):
                    return tup[2]
-                if tup[0] == "langgraph.types" and tup[1] == "Send":
-                    return _send_from_args(tup[2])
                # module, name, args
                return getattr(importlib.import_module(tup[0]), tup[1])(*tup[2])
            except Exception:
@@ -793,7 +723,9 @@ def _msgpack_ext_hook_to_json(code: int, data: bytes) -> Any:
                option=ormsgpack.OPT_NON_STR_KEYS,
            )
            if tup[0] == "langgraph.types" and tup[1] == "Send":
-                return _send_from_args(tup[2])
+                from langgraph.types import Send  # type: ignore
+
+                return Send(*tup[2])
            # module, name, args
            return tup[2]
        except Exception:
@@ -1,7 +1,6 @@
 from collections.abc import Sequence
 from typing import (
    Any,
-    NamedTuple,
    Protocol,
    TypeVar,
    runtime_checkable,
@@ -15,22 +14,6 @@ INTERRUPT = "__interrupt__"
 RESUME = "__resume__"
 TASKS = "__pregel_tasks"

-
-class _DeltaSnapshot(NamedTuple):
-    """Snapshot blob for a DeltaChannel with finite snapshot_frequency.
-
-    Stored in checkpoint_blobs via the `EXT_DELTA_SNAPSHOT` msgpack ext code.
-    The ancestor walk in `BaseCheckpointSaver.get_delta_channel_history` terminates
-    when it encounters this type (any non-empty channel_values entry stops
-    the walk for that channel).
-
-    `from_checkpoint` reconstructs the channel value directly from `.value`
-    without replaying writes — the snapshot IS the accumulated state.
-    """
-
-    value: Any
-
-
 Value = TypeVar("Value", covariant=True)
 Update = TypeVar("Update", contravariant=True)
 C = TypeVar("C")
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint"
-version = "4.1.0a4"
+version = "4.0.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"
@@ -18,7 +18,7 @@ dependencies = [

 [project.urls]
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint"
-Twitter = "https://x.com/langchain_oss"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"

@@ -29,8 +29,6 @@ from langgraph.checkpoint.serde.jsonplus import (
    EXT_METHOD_SINGLE_ARG,
    JsonPlusSerializer,
    _msgpack_enc,
-    _warned_blocked_types,
-    _warned_unregistered_types,
 )


@@ -104,13 +102,6 @@ def test_msgpack_method_pathlib_blocked_encrypted_strict(
 class TestEncryptedSerializerMsgpackAllowlist:
    """Test msgpack allowlist behavior through EncryptedSerializer."""

-    @pytest.fixture(autouse=True)
-    def _reset_warned_types(self) -> None:
-        # Warning dedup state is process-global; reset per-test so each case
-        # sees a fresh slate and assertions about warning emission are stable.
-        _warned_unregistered_types.clear()
-        _warned_blocked_types.clear()
-
    def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
        """Test safe types deserialize without warnings through encryption."""
        serde = _make_encrypted_serde()
@@ -35,8 +35,6 @@ from langgraph.checkpoint.serde.jsonplus import (
    JsonPlusSerializer,
    _msgpack_enc,
    _msgpack_ext_hook_to_json,
-    _warned_blocked_types,
-    _warned_unregistered_types,
 )
 from langgraph.store.base import Item

@@ -333,57 +331,6 @@ def test_serde_jsonplus_bytes() -> None:
    assert serde.loads_typed(dumped) == some_bytes


-def test_lc2_json_safe_type_revives_without_allowlist() -> None:
-    """Old 'json' blobs with lc=2 for safe types must revive without an explicit allowlist.
-
-    Regression test for: https://github.com/langchain-ai/langgraph/issues/7498
-    Threads checkpointed before v1.0.1 (pre-msgpack) stored messages as lc=2 JSON
-    constructor dicts. Resuming those threads must reconstruct proper BaseMessage objects
-    rather than returning raw dicts that cause MESSAGE_COERCION_FAILURE in add_messages.
-    """
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer()  # default: _allowed_json_modules=None
-
-    human_blob = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "human", "HumanMessage"],
-        "kwargs": {"content": "hello", "type": "human"},
-    }
-    ai_blob = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "kwargs": {"content": "hi there", "type": "ai"},
-    }
-    result = serde.loads_typed(("json", json.dumps([human_blob, ai_blob]).encode()))
-
-    assert len(result) == 2
-    assert isinstance(result[0], HumanMessage), (
-        f"Expected HumanMessage, got {type(result[0])}: {result[0]!r}\n"
-        "lc=2 JSON blobs for safe types must deserialize without an explicit allowlist"
-    )
-    assert result[0].content == "hello"
-    assert isinstance(result[1], AIMessage)
-    assert result[1].content == "hi there"
-
-
-def test_lc2_json_unknown_type_stays_blocked_without_allowlist() -> None:
-    """lc=2 JSON blobs for types NOT in SAFE_MSGPACK_TYPES still require an allowlist."""
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["pprint", "pprint"],
-        "kwargs": {"object": "HELLO"},
-    }
-    # No allowlist configured → raw dict returned (not raised, not reconstructed)
-    result = serde.loads_typed(("json", json.dumps(load).encode()))
-    assert isinstance(result, dict), "Unknown lc=2 type must stay as raw dict"
-    assert result.get("lc") == 2
-
-
 def test_deserde_invalid_module() -> None:
    serde = JsonPlusSerializer()
    load = {
@@ -633,14 +580,6 @@ def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None
        assert result is not None


-@pytest.fixture(autouse=True)
-def _reset_warned_types() -> None:
-    # Warning dedup state is process-global; reset per-test so each case sees
-    # a fresh slate and assertions about warning emission are stable.
-    _warned_unregistered_types.clear()
-    _warned_blocked_types.clear()
-
-
 def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
    """Pydantic models not in allowlist should log warning but still deserialize."""
    current = _lg_msgpack.STRICT_MSGPACK_ENABLED
@@ -656,12 +595,6 @@ def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) ->
    assert "unregistered type" in caplog.text.lower()
    assert "allowed_msgpack_modules" in caplog.text
    assert result == obj
-
-    # Second deserialization of the same type should NOT produce another warning
-    caplog.clear()
-    result2 = serde.loads_typed(dumped)
-    assert "unregistered type" not in caplog.text.lower()
-    assert result2 == obj
    _lg_msgpack.STRICT_MSGPACK_ENABLED = current


@@ -706,6 +639,7 @@ def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) ->

 def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
    """allowed_msgpack_modules=None should block unregistered types."""
+
    serde = JsonPlusSerializer(allowed_msgpack_modules=None)

    obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
@@ -723,6 +657,7 @@ def test_msgpack_allowlist_blocks_non_listed(
    caplog: pytest.LogCaptureFixture,
 ) -> None:
    """Allowlists should block unregistered types even if msgpack is enabled."""
+
    serde = JsonPlusSerializer(
        allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
    )
@@ -12,25 +12,13 @@ from langgraph.checkpoint.base import (
    empty_checkpoint,
 )
 from langgraph.checkpoint.memory import InMemorySaver
-from langgraph.checkpoint.serde.jsonplus import (
-    JsonPlusSerializer,
-    _warned_blocked_types,
-    _warned_unregistered_types,
-)
+from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer


 class MemoryPydantic(BaseModel):
    foo: str


-@pytest.fixture(autouse=True)
-def _reset_warned_types() -> None:
-    # Warning dedup state is process-global; reset per-test so each case sees
-    # a fresh slate and assertions about warning emission are stable.
-    _warned_unregistered_types.clear()
-    _warned_blocked_types.clear()
-
-
 class TestMemorySaver:
    @pytest.fixture(autouse=True)
    def setup(self) -> None:
@@ -208,6 +196,8 @@ class TestMemorySaver:


 async def test_memory_saver() -> None:
+    from langgraph.checkpoint.memory import InMemorySaver
+
    memory_saver = InMemorySaver()
    assert isinstance(memory_saver, InMemorySaver)

@@ -318,363 +308,3 @@ def test_memory_saver_with_allowlist_proxy_isolated() -> None:
    assert direct is not None
    expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
    assert direct.checkpoint["channel_values"]["foo"] == expected
-
-
-class TestInMemorySaverDeltaChannel:
-    def test_load_blobs_omits_delta_channel(self) -> None:
-        """_load_blobs omits delta channels (stored as 'empty'); reconstruction deferred."""
-        saver = InMemorySaver()
-
-        thread_id, ns, channel = "t1", "", "messages"
-        v1 = "00000000000000000000000000000001.0000000000000000"
-
-        saver.blobs[(thread_id, ns, channel, v1)] = ("empty", b"")
-
-        result = saver._load_blobs(thread_id, ns, {channel: v1})
-        assert channel not in result
-
-    def test_get_channel_writes_collects_ancestor_writes_only(self) -> None:
-        """`get_delta_channel_history` collects ancestor writes oldest→newest, and
-        excludes writes stored at the target checkpoint itself (those are
-        pending writes for the next step, applied separately by pregel).
-
-        When the walk reaches the root without finding any stored value for
-        the channel, the per-channel entry has no `seed` key (TypedDict
-        absence indicates "start empty").
-        """
-        saver = InMemorySaver()
-        serde = JsonPlusSerializer()
-
-        thread_id, ns, channel = "t1", "", "messages"
-
-        cp1 = empty_checkpoint()
-        cp1["id"] = "cp1"
-        cp2 = empty_checkpoint()
-        cp2["id"] = "cp2"
-        saver.storage[thread_id][ns] = {
-            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
-            "cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
-        }
-        # Writes stored at cp1 produced the cp1 snapshot; part of history.
-        saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
-            "task1",
-            channel,
-            serde.dumps_typed({"content": "hi"}),
-            "",
-        )
-        # Writes stored at cp2 are pending — they will produce cp3 when the
-        # step that loaded cp2 completes. They MUST NOT appear in the
-        # reconstructed snapshot value at cp2.
-        saver.writes[(thread_id, ns, "cp2")][("task2", 0)] = (
-            "task2",
-            channel,
-            serde.dumps_typed({"content": "pending"}),
-            "",
-        )
-
-        config: RunnableConfig = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": ns,
-                "checkpoint_id": "cp2",
-            }
-        }
-        result = saver.get_delta_channel_history(config=config, channels=[channel])[
-            channel
-        ]
-        # Walk reached the root without finding a stored value → no `seed` key.
-        assert "seed" not in result
-        values = [v for _, _, v in result["writes"]]
-        assert values == [{"content": "hi"}]
-
-    def test_get_channel_writes_at_root_returns_empty(self) -> None:
-        """Reconstructing the root checkpoint's state: no ancestors → []."""
-        saver = InMemorySaver()
-        serde = JsonPlusSerializer()
-        thread_id, ns, channel = "t1", "", "messages"
-
-        cp1 = empty_checkpoint()
-        cp1["id"] = "cp1"
-        saver.storage[thread_id][ns] = {
-            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
-        }
-        saver.writes[(thread_id, ns, "cp1")][("task1", 0)] = (
-            "task1",
-            channel,
-            serde.dumps_typed({"content": "pending"}),
-            "",
-        )
-
-        config: RunnableConfig = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": ns,
-                "checkpoint_id": "cp1",
-            }
-        }
-        result = saver.get_delta_channel_history(config=config, channels=[channel])[
-            channel
-        ]
-        # No ancestors → no seed found, no writes accumulated.
-        assert "seed" not in result
-        assert result["writes"] == []
-
-
-class TestBaseFallbackGetChannelWrites:
-    """Exercises the `BaseCheckpointSaver.get_delta_channel_history` default
-    implementation — the path third-party savers inherit when they don't
-    override `get_delta_channel_history` themselves.
-
-    Regression guard for a bug where the fallback passed the caller's config
-    (with `checkpoint_id`) straight to `self.list()`, which most savers
-    collapse to a single row — causing the fallback to return `[]`.
-    """
-
-    def _build_saver_with_chain(self) -> tuple[InMemorySaver, str, str]:
-        """Build an InMemorySaver with a 3-checkpoint chain and per-step writes
-        for a `messages` channel.
-
-        Returns `(saver, thread_id, namespace)`. The saver subclass deletes the
-        InMemorySaver override so the base class fallback is exercised.
-        """
-
-        class _ThirdPartyStyleSaver(InMemorySaver):
-            get_delta_channel_history = (
-                InMemorySaver.__mro__[1].get_delta_channel_history  # type: ignore[attr-defined]
-            )
-            aget_delta_channel_history = (
-                InMemorySaver.__mro__[1].aget_delta_channel_history  # type: ignore[attr-defined]
-            )
-
-        saver = _ThirdPartyStyleSaver()
-        serde = JsonPlusSerializer()
-        thread_id, ns, channel = "t1", "", "messages"
-
-        cp0 = empty_checkpoint()
-        cp0["id"] = "00000000000000000000000000000001.0000000000000000"
-        cp1 = empty_checkpoint()
-        cp1["id"] = "00000000000000000000000000000002.0000000000000000"
-        cp2 = empty_checkpoint()
-        cp2["id"] = "00000000000000000000000000000003.0000000000000000"
-        saver.storage[thread_id][ns] = {
-            cp0["id"]: (serde.dumps_typed(cp0), serde.dumps_typed({}), None),
-            cp1["id"]: (serde.dumps_typed(cp1), serde.dumps_typed({}), cp0["id"]),
-            cp2["id"]: (serde.dumps_typed(cp2), serde.dumps_typed({}), cp1["id"]),
-        }
-        # Writes under cp0 produced cp1's state; writes under cp1 produced cp2's.
-        saver.writes[(thread_id, ns, cp0["id"])][("task1", 0)] = (
-            "task1",
-            channel,
-            serde.dumps_typed({"content": "first"}),
-            "",
-        )
-        saver.writes[(thread_id, ns, cp1["id"])][("task2", 0)] = (
-            "task2",
-            channel,
-            serde.dumps_typed({"content": "second"}),
-            "",
-        )
-        return saver, thread_id, ns
-
-    def test_fallback_returns_ancestor_writes_oldest_first(self) -> None:
-        saver, thread_id, ns = self._build_saver_with_chain()
-        target_id = "00000000000000000000000000000003.0000000000000000"
-        config: RunnableConfig = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": ns,
-                "checkpoint_id": target_id,
-            }
-        }
-
-        result = saver.get_delta_channel_history(config=config, channels=["messages"])[
-            "messages"
-        ]
-
-        # Walk reached root without a stored value → `seed` key absent.
-        assert "seed" not in result
-        values = [v for _, _, v in result["writes"]]
-        assert values == [{"content": "first"}, {"content": "second"}]
-
-    async def test_async_fallback_returns_ancestor_writes_oldest_first(self) -> None:
-        saver, thread_id, ns = self._build_saver_with_chain()
-        target_id = "00000000000000000000000000000003.0000000000000000"
-        config: RunnableConfig = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": ns,
-                "checkpoint_id": target_id,
-            }
-        }
-
-        result = (
-            await saver.aget_delta_channel_history(config=config, channels=["messages"])
-        )["messages"]
-
-        assert "seed" not in result
-        values = [v for _, _, v in result["writes"]]
-        assert values == [{"content": "first"}, {"content": "second"}]
-
-    async def test_async_fallback_concurrent_tasks_do_not_interfere(self) -> None:
-        """Regression: the re-entrancy guard must be task-local, not thread-local.
-
-        Two concurrent `aget_delta_channel_history` calls on the same event-loop
-        thread must each see their full reconstructed writes. A
-        `threading.local()` guard would let whichever task set it first
-        short-circuit the other to `writes=[]`.
-        """
-        import asyncio
-
-        saver, thread_id, ns = self._build_saver_with_chain()
-
-        # Force the two tasks to interleave across the `set(True)` boundary:
-        # each `aget_tuple` yields control, so if the guard were thread-local
-        # the second task would observe `active=True` set by the first.
-        orig_aget_tuple = saver.aget_tuple
-
-        async def slow_aget_tuple(config: RunnableConfig) -> Any:
-            await asyncio.sleep(0)
-            return await orig_aget_tuple(config)
-
-        saver.aget_tuple = slow_aget_tuple  # type: ignore[method-assign]
-
-        target_id = "00000000000000000000000000000003.0000000000000000"
-        config: RunnableConfig = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": ns,
-                "checkpoint_id": target_id,
-            }
-        }
-
-        results = await asyncio.gather(
-            saver.aget_delta_channel_history(config=config, channels=["messages"]),
-            saver.aget_delta_channel_history(config=config, channels=["messages"]),
-        )
-
-        expected_values = [{"content": "first"}, {"content": "second"}]
-        for result_map in results:
-            result = result_map["messages"]
-            assert "seed" not in result
-            values = [v for _, _, v in result["writes"]]
-            assert values == expected_values
-
-
-class TestPreDeltaBlobTerminator:
-    """Verify the pre-delta blob terminator: when the ancestor walk hits a
-    checkpoint whose blob for the channel is a real value, reconstruction
-    seeds from it and stops. This guards
-
-      * back-compat: a thread written by pre-delta code, then extended under
-        delta — reconstruction must return the correct value without walking
-        past the last pre-delta ancestor;
-      * perf: without the terminator, every reconstruct-after-migration would
-        walk all the way to the thread root.
-
-    Under the new public API a found seed populates `seed` in the
-    `DeltaChannelHistory` TypedDict; absence of the `seed` key means the walk
-    reached root without finding a stored value.
-    """
-
-    def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
-        """Three-checkpoint chain: cp1 (pre-delta, blob=[A]), cp2 (delta,
-        write=B), cp3 (delta, write=C). Reconstructing at cp3 must yield
-        seed=[A] + writes=[B, C].
-
-        Returns `(saver, thread_id, ns, channel, cp3_id)`.
-        """
-        saver = InMemorySaver()
-        serde = JsonPlusSerializer()
-        thread_id, ns, channel = "t1", "", "messages"
-
-        v1 = "00000000000000000000000000000001.0"
-        v2 = "00000000000000000000000000000002.0"
-        v3 = "00000000000000000000000000000003.0"
-
-        # Pre-delta: cp1 stored a real blob for the channel.
-        saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(["A"])
-        # Delta-era: cp2 and cp3 store "empty"; real writes in checkpoint_writes.
-        saver.blobs[(thread_id, ns, channel, v2)] = ("empty", b"")
-        saver.blobs[(thread_id, ns, channel, v3)] = ("empty", b"")
-
-        cp1 = empty_checkpoint()
-        cp1["id"] = "cp1"
-        cp1["channel_versions"][channel] = v1
-        cp2 = empty_checkpoint()
-        cp2["id"] = "cp2"
-        cp2["channel_versions"][channel] = v2
-        cp3 = empty_checkpoint()
-        cp3["id"] = "cp3"
-        cp3["channel_versions"][channel] = v3
-
-        saver.storage[thread_id][ns] = {
-            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
-            "cp2": (serde.dumps_typed(cp2), serde.dumps_typed({}), "cp1"),
-            "cp3": (serde.dumps_typed(cp3), serde.dumps_typed({}), "cp2"),
-        }
-        # Write under cp1 would be from the pre-delta era and MUST be ignored
-        # (the blob already captures it). We add one and assert it is not
-        # folded into the reconstructed result.
-        saver.writes[(thread_id, ns, "cp1")][("task0", 0)] = (
-            "task0",
-            channel,
-            serde.dumps_typed("PRE-DELTA-WRITE"),
-            "",
-        )
-        saver.writes[(thread_id, ns, "cp2")][("task2", 0)] = (
-            "task2",
-            channel,
-            serde.dumps_typed("B"),
-            "",
-        )
-        saver.writes[(thread_id, ns, "cp3")][("task3", 0)] = (
-            "task3",
-            channel,
-            serde.dumps_typed("PENDING-AT-TARGET"),
-            "",
-        )
-        return saver, thread_id, ns, channel, "cp3"
-
-    def test_seed_from_pre_delta_ancestor_blob(self) -> None:
-        saver, thread_id, ns, channel, target = self._build_mixed_thread()
-        config: RunnableConfig = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": ns,
-                "checkpoint_id": target,
-            }
-        }
-
-        result = saver.get_delta_channel_history(config=config, channels=[channel])[
-            channel
-        ]
-
-        # Seed came from the pre-delta blob at cp1.
-        assert result["seed"] == ["A"]
-        # Delta-era writes from cp2 replay through the reducer on top of seed.
-        # cp3 is the target — its own write is pending for the NEXT step and
-        # must be excluded.
-        values = [v for _, _, v in result["writes"]]
-        assert values == ["B"]
-
-    def test_pre_delta_blob_terminates_walk_before_older_writes(self) -> None:
-        """Writes stored at the pre-delta ancestor itself must not be replayed
-        (the blob subsumes them)."""
-        saver, thread_id, ns, channel, target = self._build_mixed_thread()
-        config: RunnableConfig = {
-            "configurable": {
-                "thread_id": thread_id,
-                "checkpoint_ns": ns,
-                "checkpoint_id": target,
-            }
-        }
-
-        result = saver.get_delta_channel_history(config=config, channels=[channel])[
-            channel
-        ]
-
-        values = [v for _, _, v in result["writes"]]
-        # The pre-delta write under cp1 must not appear (the blob subsumes it).
-        assert "PRE-DELTA-WRITE" not in values
-        # And the pending write at the target is never folded in.
-        assert "PENDING-AT-TARGET" not in values
@@ -2,8 +2,7 @@ version = 1
 revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.15'",
-    "python_full_version >= '3.12' and python_full_version < '3.15'",
+    "python_full_version >= '3.12'",
    "python_full_version == '3.11.*'",
    "python_full_version < '3.11'",
 ]
@@ -268,11 +267,10 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.3.2"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
-    { name = "langchain-protocol" },
    { name = "langsmith" },
    { name = "packaging" },
    { name = "pydantic" },
@@ -281,26 +279,14 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
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-]
-
-[[package]]
-name = "langchain-protocol"
-version = "0.0.15"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions" },
-]
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-wheels = [
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+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.0a4"
+version = "4.0.1"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -383,7 +369,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.6.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -393,12 +379,11 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
-    { name = "xxhash" },
    { name = "zstandard" },
 ]
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 [[package]]
@@ -500,7 +485,7 @@ wheels = [

 [[package]]
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-version = "1.20.2"
+version = "1.20.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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@@ -509,51 +494,51 @@ dependencies = [
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-
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 name = "zstandard"
 version = "0.25.0"
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.1.14"
+  "langchain-openai==1.0.1"
 ]
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.1.14",
+  "langchain-openai==1.0.0a2",
  "langchain-anthropic==1.0.0a5",
  "langgraph==1.1.5"
 ]
@@ -5,7 +5,7 @@ description = "Test for prerelease stuff"
 readme = "README.md"
 requires-python = ">=3.10"
 dependencies = [
-  "langchain-openai==1.1.14",
+  "langchain-openai==1.0.0a2",
  "langgraph==1.1.2",
  "langchain_community>=0.3.0",
 ]
@@ -21,25 +21,25 @@
    "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
  },
  "dependencies": {
-    "@langchain/core": "^1.1.42",
-    "@langchain/langgraph": "^1.2.9"
+    "@langchain/core": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
  },
  "devDependencies": {
    "@eslint/eslintrc": "^3.3.5",
    "@eslint/js": "^10.0.1",
    "@tsconfig/recommended": "^1.0.13",
    "@types/jest": "^30.0.0",
-    "@typescript-eslint/eslint-plugin": "^8.59.1",
-    "@typescript-eslint/parser": "^8.59.1",
-    "dotenv": "^17.4.2",
-    "eslint": "^10.2.1",
+    "@typescript-eslint/eslint-plugin": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
+    "dotenv": "^17.3.1",
+    "eslint": "^10.1.0",
    "eslint-config-prettier": "^10.1.8",
    "eslint-plugin-import": "^2.32.0",
    "eslint-plugin-no-instanceof": "^1.0.1",
    "eslint-plugin-prettier": "^5.5.5",
    "jest": "^30.3.0",
-    "prettier": "^3.8.3",
-    "ts-jest": "^29.4.9",
+    "prettier": "^3.8.1",
+    "ts-jest": "^29.4.6",
    "typescript": "^5.9.3"
  }
 }
@@ -474,26 +474,26 @@
  resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
  integrity sha512-EriSTlt5OC9/7SXkRSCAhfSxxoSUgBm33OH+IkwbdpgoqsSsUg7y3uh+IICI/Qg4BBWr3U2i39RpmycbxMq4ew==

-"@eslint/config-array@^0.23.5":
-  version "0.23.5"
-  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.5.tgz#56e86d243049195d8acc0c06a1b3dfdc3fa3de95"
-  integrity sha512-Y3kKLvC1dvTOT+oGlqNQ1XLqK6D1HU2YXPc52NmAlJZbMMWDzGYXMiPRJ8TYD39muD/OTjlZmNJ4ib7dvSrMBA==
+"@eslint/config-array@^0.23.3":
+  version "0.23.3"
+  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
+  integrity sha512-j+eEWmB6YYLwcNOdlwQ6L2OsptI/LO6lNBuLIqe5R7RetD658HLoF+Mn7LzYmAWWNNzdC6cqP+L6r8ujeYXWLw==
  dependencies:
-    "@eslint/object-schema" "^3.0.5"
+    "@eslint/object-schema" "^3.0.3"
    debug "^4.3.1"
    minimatch "^10.2.4"

-"@eslint/config-helpers@^0.5.5":
-  version "0.5.5"
-  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.5.tgz#ae16134e4792ac5fbdc533548a24ac1ea9f7f3ae"
-  integrity sha512-eIJYKTCECbP/nsKaaruF6LW967mtbQbsw4JTtSVkUQc9MneSkbrgPJAbKl9nWr0ZeowV8BfsarBmPpBzGelA2w==
+"@eslint/config-helpers@^0.5.3":
+  version "0.5.3"
+  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
+  integrity sha512-lzGN0onllOZCGroKJmRwY6QcEHxbjBw1gwB8SgRSqK8YbbtEXMvKynsXc3553ckIEBxsbMBU7oOZXKIPGZNeZw==
  dependencies:
-    "@eslint/core" "^1.2.1"
+    "@eslint/core" "^1.1.1"

-"@eslint/core@^1.2.1":
-  version "1.2.1"
-  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.2.1.tgz#c1da7cd1b82fa8787f98b5629fb811848a1b63ce"
-  integrity sha512-MwcE1P+AZ4C6DWlpin/OmOA54mmIZ/+xZuJiQd4SyB29oAJjN30UW9wkKNptW2ctp4cEsvhlLY/CsQ1uoHDloQ==
+"@eslint/core@^1.1.1":
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
+  integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
  dependencies:
    "@types/json-schema" "^7.0.15"

@@ -517,17 +517,17 @@
  resolved "https://registry.yarnpkg.com/@eslint/js/-/js-10.0.1.tgz#1e8a876f50117af8ab67e47d5ad94d38d6622583"
  integrity sha512-zeR9k5pd4gxjZ0abRoIaxdc7I3nDktoXZk2qOv9gCNWx3mVwEn32VRhyLaRsDiJjTs0xq/T8mfPtyuXu7GWBcA==

-"@eslint/object-schema@^3.0.5":
-  version "3.0.5"
-  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.5.tgz#88e9bf4d11d2b19c082e78ebe7ce88724a5eb091"
-  integrity sha512-vqTaUEgxzm+YDSdElad6PiRoX4t8VGDjCtt05zn4nU810UIx/uNEV7/lZJ6KwFThKZOzOxzXy48da+No7HZaMw==
+"@eslint/object-schema@^3.0.3":
+  version "3.0.3"
+  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.3.tgz#5bf671e52e382e4adc47a9906f2699374637db6b"
+  integrity sha512-iM869Pugn9Nsxbh/YHRqYiqd23AmIbxJOcpUMOuWCVNdoQJ5ZtwL6h3t0bcZzJUlC3Dq9jCFCESBZnX0GTv7iQ==

-"@eslint/plugin-kit@^0.7.1":
-  version "0.7.1"
-  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.7.1.tgz#c4125fd015eceeb09b793109fdbcd4dd0a02d346"
-  integrity sha512-rZAP3aVgB9ds9KOeUSL+zZ21hPmo8dh6fnIFwRQj5EAZl9gzR7wxYbYXYysAM8CTqGmUGyp2S4kUdV17MnGuWQ==
+"@eslint/plugin-kit@^0.6.1":
+  version "0.6.1"
+  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.1.tgz#eb9e6689b56ce8bc1855bb33090e63f3fc115e8e"
+  integrity sha512-iH1B076HoAshH1mLpHMgwdGeTs0CYwL0SPMkGuSebZrwBp16v415e9NZXg2jtrqPVQjf6IANe2Vtlr5KswtcZQ==
  dependencies:
-    "@eslint/core" "^1.2.1"
+    "@eslint/core" "^1.1.1"
    levn "^0.4.1"

 "@humanfs/core@^0.19.1":
@@ -890,10 +890,10 @@
    "@jridgewell/resolve-uri" "^3.1.0"
    "@jridgewell/sourcemap-codec" "^1.4.14"

-"@langchain/core@^1.1.42":
-  version "1.1.42"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.42.tgz#607bfd34c1414c9cbeb2859fda1b254a14c28085"
-  integrity sha512-d0tN96BrwPMryYyWR9VfyAntSivn7EQrZCe5Kpxum93tcjTXbKKmKvItFec8AluQt88iTcmAJrahUZUNfzGwTA==
+"@langchain/core@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
  dependencies:
    "@cfworker/json-schema" "^4.0.2"
    "@standard-schema/spec" "^1.1.0"
@@ -904,6 +904,7 @@
    langsmith ">=0.5.0 <1.0.0"
    mustache "^4.2.0"
    p-queue "^6.6.2"
+    uuid "^11.1.0"
    zod "^3.25.76 || ^4"

 "@langchain/langgraph-checkpoint@^1.0.1":
@@ -913,23 +914,23 @@
  dependencies:
    uuid "^10.0.0"

-"@langchain/langgraph-sdk@~1.8.9":
-  version "1.8.10"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.10.tgz#bd175cda1ab629845ef28b22b45f3bdd1f65b029"
-  integrity sha512-wrB3rkRw5KAmsqezwvKP3midT4qJrV6Hj9XJMYo+cbvXC4HYpSAmyY/VriSyeTFRbLG/OP/pY2Yz+9Z54nSaXQ==
+"@langchain/langgraph-sdk@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
  dependencies:
    "@types/json-schema" "^7.0.15"
    p-queue "^9.0.1"
    p-retry "^7.1.1"
    uuid "^13.0.0"

-"@langchain/langgraph@^1.2.9":
-  version "1.2.9"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.9.tgz#4f0ba159062c3649c83cf5f621ef926b96933e32"
-  integrity sha512-3c7BtGycHC2v9p6w/Hv8L7kEl1YnZYOQTDJtmAp3knk6JOedO7d2bYP3y0SRyhv5orUEGf/KGvx8ZsB/ideP7g==
+"@langchain/langgraph@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
  dependencies:
    "@langchain/langgraph-checkpoint" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.9"
+    "@langchain/langgraph-sdk" "~1.8.1"
    "@standard-schema/spec" "1.1.0"
    uuid "^10.0.0"

@@ -1097,100 +1098,100 @@
  dependencies:
    "@types/yargs-parser" "*"

-"@typescript-eslint/eslint-plugin@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.59.1.tgz#781bc6f9002982cfaf75a185240e24ad7276628a"
-  integrity sha512-BOziFIfE+6osHO9FoJG4zjoHUcvI7fTNBSpdAwrNH0/TLvzjsk2oo8XSSOT2HhqUyhZPfHv4UOffoJ9oEEQ7Ag==
+"@typescript-eslint/eslint-plugin@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
  dependencies:
    "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.59.1"
-    "@typescript-eslint/type-utils" "8.59.1"
-    "@typescript-eslint/utils" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    ignore "^7.0.5"
    natural-compare "^1.4.0"
    ts-api-utils "^2.5.0"

-"@typescript-eslint/parser@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.59.1.tgz#835d20a62350659a082a1ae2a60b822c40488905"
-  integrity sha512-HDQH9O/47Dxi1ceDhBXdaldtf/WV9yRYMjbjCuNk3qnaTD564qwv61Y7+gTxwxRKzSrgO5uhtw584igXVuuZkA==
+"@typescript-eslint/parser@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
  dependencies:
-    "@typescript-eslint/scope-manager" "8.59.1"
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/typescript-estree" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/project-service@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.59.1.tgz#49efe87c37ef84262f23df8bf62fdc56698ca6fe"
-  integrity sha512-+MuHQlHiEr00Of/IQbE/MmEoi44znZHbR/Pz7Opq4HryUOlRi+/44dro9Ycy8Fyo+/024IWtw8m4JUMCGTYxDg==
+"@typescript-eslint/project-service@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
  dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.59.1"
-    "@typescript-eslint/types" "^8.59.1"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/scope-manager@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.59.1.tgz#ed90d054fc3db2d0c81464db3a953a94fb85bb58"
-  integrity sha512-LwuHQI4pDOYVKvmH2dkaJo6YZCSgouVgnS/z7yBPKBMvgtBvyLqiLy9Z6b7+m/TRcX1NFYUqZetI5Y+aT4GEfg==
+"@typescript-eslint/scope-manager@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
  dependencies:
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"

-"@typescript-eslint/tsconfig-utils@8.59.1", "@typescript-eslint/tsconfig-utils@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.59.1.tgz#ba2a779a444f1d5cb92a606f9b209d239fd4cab1"
-  integrity sha512-/0nEyPbX7gRsk0Uwfe4ALwwgxuA66d/l2mhRDNlAvaj4U3juhUtJNq0DsY8M2AYwwb9rEq2hrC3IcIcEt++iJA==
+"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==

-"@typescript-eslint/type-utils@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.59.1.tgz#9c83d3f2ed9187a815e8120f72c08317e513e409"
-  integrity sha512-klWPBR2ciQHS3f++ug/mVnWKPjBUo7icEL3FAO1lhAR1Z1i5NQYZ1EannMSRYcq5qCv5wNALlXr6fksRHyYl7w==
+"@typescript-eslint/type-utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
  dependencies:
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/typescript-estree" "8.59.1"
-    "@typescript-eslint/utils" "8.59.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
    debug "^4.4.3"
    ts-api-utils "^2.5.0"

-"@typescript-eslint/types@8.59.1", "@typescript-eslint/types@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.59.1.tgz#c1d014d3f03a97e0113a8899fc9d4e45a7fb0ca9"
-  integrity sha512-ZDCjgccSdYPw5Bxh+my4Z0lJU96ZDN7jbBzvmEn0FZx3RtU1C7VWl6NbDx94bwY3V5YsgwRzJPOgeY2Q/nLG8A==
+"@typescript-eslint/types@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==

-"@typescript-eslint/typescript-estree@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.59.1.tgz#4391fadf98a22c869c5b6522dbf4e491e53e351a"
-  integrity sha512-OUd+vJS05sSkOip+BkZ/2NS8RMxrAAJemsC6vU3kmfLyeaJT0TftHkV9mcx2107MmsBVXXexhVu4F0TZXyMl4g==
+"@typescript-eslint/typescript-estree@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
  dependencies:
-    "@typescript-eslint/project-service" "8.59.1"
-    "@typescript-eslint/tsconfig-utils" "8.59.1"
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/project-service" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"
    minimatch "^10.2.2"
    semver "^7.7.3"
    tinyglobby "^0.2.15"
    ts-api-utils "^2.5.0"

-"@typescript-eslint/utils@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.59.1.tgz#cf6204d69701bbbc5b150f98c18aeef0a42c10bd"
-  integrity sha512-3pIeoXhCeYH9FSCBI8P3iNwJlGuzPlYKkTlen2O9T1DSeeg8UG8jstq6BLk+Mda0qup7mgk4z4XL4OzRaxZ8LA==
+"@typescript-eslint/utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
  dependencies:
    "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.59.1"
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/typescript-estree" "8.59.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"

-"@typescript-eslint/visitor-keys@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.59.1.tgz#b5cba576287a3eeb0b400b62813189abcc3f976a"
-  integrity sha512-LdDNl6C5iJExcM0Yh0PwAIBb9PrSiCsWamF/JyEZawm3kFDnRoaq3LGE4bpyRao/fWeGKKyw7icx0YxrLFC5Cg==
+"@typescript-eslint/visitor-keys@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
  dependencies:
-    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/types" "8.58.0"
    eslint-visitor-keys "^5.0.0"

 "@ungap/structured-clone@^1.3.0":
@@ -1908,10 +1909,10 @@ doctrine@^2.1.0:
  dependencies:
    esutils "^2.0.2"

-dotenv@^17.4.2:
-  version "17.4.2"
-  resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-17.4.2.tgz#c07e54a746e11eba021dd9e1047ced5afdc1c034"
-  integrity sha512-nI4U3TottKAcAD9LLud4Cb7b2QztQMUEfHbvhTH09bqXTxnSie8WnjPALV/WMCrJZ6UV/qHJ6L03OqO3LcdYZw==
+dotenv@^17.3.1:
+  version "17.3.1"
+  resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-17.3.1.tgz#2706f5b0165e45a1503348187b8468f87fe6aae2"
+  integrity sha512-IO8C/dzEb6O3F9/twg6ZLXz164a2fhTnEWb95H23Dm4OuN+92NmEAlTrupP9VW6Jm3sO26tQlqyvyi4CsnY9GA==

 dunder-proto@^1.0.0, dunder-proto@^1.0.1:
  version "1.0.1"
@@ -2262,17 +2263,17 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
  resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
  integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==

-eslint@^10.2.1:
-  version "10.2.1"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.2.1.tgz#224b2a6caeb34473eddcf918762363e2e063222a"
-  integrity sha512-wiyGaKsDgqXvF40P8mDwiUp/KQjE1FdrIEJsM8PZ3XCiniTMXS3OHWWUe5FI5agoCnr8x4xPrTDZuxsBlNHl+Q==
+eslint@^10.1.0:
+  version "10.1.0"
+  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
+  integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
  dependencies:
    "@eslint-community/eslint-utils" "^4.8.0"
    "@eslint-community/regexpp" "^4.12.2"
-    "@eslint/config-array" "^0.23.5"
-    "@eslint/config-helpers" "^0.5.5"
-    "@eslint/core" "^1.2.1"
-    "@eslint/plugin-kit" "^0.7.1"
+    "@eslint/config-array" "^0.23.3"
+    "@eslint/config-helpers" "^0.5.3"
+    "@eslint/core" "^1.1.1"
+    "@eslint/plugin-kit" "^0.6.1"
    "@humanfs/node" "^0.16.6"
    "@humanwhocodes/module-importer" "^1.0.1"
    "@humanwhocodes/retry" "^0.4.2"
@@ -2682,7 +2683,7 @@ graceful-fs@^4.2.11:
  resolved "https://registry.yarnpkg.com/graceful-fs/-/graceful-fs-4.2.11.tgz#4183e4e8bf08bb6e05bbb2f7d2e0c8f712ca40e3"
  integrity sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ==

-handlebars@^4.7.9:
+handlebars@^4.7.8:
  version "4.7.9"
  resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.9.tgz#6f139082ab58dc4e5a0e51efe7db5ae890d56a0f"
  integrity sha512-4E71E0rpOaQuJR2A3xDZ+GM1HyWYv1clR58tC8emQNeQe3RH7MAzSbat+V0wG78LQBo6m6bzSG/L4pBuCsgnUQ==
@@ -3675,9 +3676,9 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.20"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
-  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
+  version "0.5.18"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.18.tgz#c691ad23614f0b46eaf07d982e0ac988e1f43880"
+  integrity sha512-3zuZUWffTHQ+73EAwnodADtf534VNEZUpXr9jC12qyG8/IQuJET7PRsCpTb9wX2lmBspakwLUpqpj3tNm/0bVA==
  dependencies:
    p-queue "6.6.2"
    uuid "10.0.0"
@@ -4129,10 +4130,10 @@ prettier-linter-helpers@^1.0.1:
  dependencies:
    fast-diff "^1.1.2"

-prettier@^3.8.3:
-  version "3.8.3"
-  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
-  integrity sha512-7igPTM53cGHMW8xWuVTydi2KO233VFiTNyF5hLJqpilHfmn8C8gPf+PS7dUT64YcXFbiMGZxS9pCSxL/Dxm/Jw==
+prettier@^3.8.1:
+  version "3.8.1"
+  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.1.tgz#edf48977cf991558f4fcbd8a3ba6015ba2a3a173"
+  integrity sha512-UOnG6LftzbdaHZcKoPFtOcCKztrQ57WkHDeRD9t/PTQtmT0NHSeWWepj6pS0z/N7+08BHFDQVUrfmfMRcZwbMg==

 pretty-format@30.2.0, pretty-format@^30.0.0:
  version "30.2.0"
@@ -4286,7 +4287,7 @@ semver@^6.3.1:
  resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
  integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==

-semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3, semver@^7.7.4:
+semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
  version "7.7.4"
  resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
  integrity sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==
@@ -4622,18 +4623,18 @@ ts-api-utils@^2.5.0:
  resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
  integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==

-ts-jest@^29.4.9:
-  version "29.4.9"
-  resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.4.9.tgz#47dc33d0f5c36bddcedd16afefae285e0b049d2d"
-  integrity sha512-LTb9496gYPMCqjeDLdPrKuXtncudeV1yRZnF4Wo5l3SFi0RYEnYRNgMrFIdg+FHvfzjCyQk1cLncWVqiSX+EvQ==
+ts-jest@^29.4.6:
+  version "29.4.6"
+  resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.4.6.tgz#51cb7c133f227396818b71297ad7409bb77106e9"
+  integrity sha512-fSpWtOO/1AjSNQguk43hb/JCo16oJDnMJf3CdEGNkqsEX3t0KX96xvyX1D7PfLCpVoKu4MfVrqUkFyblYoY4lA==
  dependencies:
    bs-logger "^0.2.6"
    fast-json-stable-stringify "^2.1.0"
-    handlebars "^4.7.9"
+    handlebars "^4.7.8"
    json5 "^2.2.3"
    lodash.memoize "^4.1.2"
    make-error "^1.3.6"
-    semver "^7.7.4"
+    semver "^7.7.3"
    type-fest "^4.41.0"
    yargs-parser "^21.1.1"

@@ -4853,6 +4854,11 @@ uuid@10.0.0, uuid@^10.0.0:
  resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==

+uuid@^11.1.0:
+  version "11.1.0"
+  resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
+  integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
+
 uuid@^13.0.0:
  version "13.0.0"
  resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
@@ -9,8 +9,8 @@
  },
  "dependencies": {
    "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^1.1.42",
-    "@langchain/langgraph": "^1.2.9"
+    "@langchain/core": "^1.1.38",
+    "@langchain/langgraph": "^1.2.6"
  },
  "devDependencies": {
    "typescript": "^5.9.3"
@@ -17,18 +17,18 @@
    "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
  },
  "devDependencies": {
-    "turbo": "^2.9.7",
+    "turbo": "^2.9.3",
    "typescript": "^5.9.3",
    "@tsconfig/recommended": "^1.0.13",
    "@eslint/eslintrc": "^3.3.5",
    "@eslint/js": "^10.0.1",
-    "eslint": "^10.2.1",
+    "eslint": "^10.1.0",
    "eslint-config-prettier": "^10.1.8",
    "eslint-plugin-import": "^2.27.5",
    "eslint-plugin-no-instanceof": "^1.0.1",
    "eslint-plugin-prettier": "^5.5.5",
-    "@typescript-eslint/eslint-plugin": "^8.59.1",
-    "@typescript-eslint/parser": "^8.59.1",
-    "prettier": "^3.8.3"
+    "@typescript-eslint/eslint-plugin": "^8.58.0",
+    "@typescript-eslint/parser": "^8.58.0",
+    "prettier": "^3.8.1"
  }
 }
@@ -19,26 +19,26 @@
  resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
  integrity sha512-EriSTlt5OC9/7SXkRSCAhfSxxoSUgBm33OH+IkwbdpgoqsSsUg7y3uh+IICI/Qg4BBWr3U2i39RpmycbxMq4ew==

-"@eslint/config-array@^0.23.5":
-  version "0.23.5"
-  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.5.tgz#56e86d243049195d8acc0c06a1b3dfdc3fa3de95"
-  integrity sha512-Y3kKLvC1dvTOT+oGlqNQ1XLqK6D1HU2YXPc52NmAlJZbMMWDzGYXMiPRJ8TYD39muD/OTjlZmNJ4ib7dvSrMBA==
+"@eslint/config-array@^0.23.3":
+  version "0.23.3"
+  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
+  integrity sha512-j+eEWmB6YYLwcNOdlwQ6L2OsptI/LO6lNBuLIqe5R7RetD658HLoF+Mn7LzYmAWWNNzdC6cqP+L6r8ujeYXWLw==
  dependencies:
-    "@eslint/object-schema" "^3.0.5"
+    "@eslint/object-schema" "^3.0.3"
    debug "^4.3.1"
    minimatch "^10.2.4"

-"@eslint/config-helpers@^0.5.5":
-  version "0.5.5"
-  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.5.tgz#ae16134e4792ac5fbdc533548a24ac1ea9f7f3ae"
-  integrity sha512-eIJYKTCECbP/nsKaaruF6LW967mtbQbsw4JTtSVkUQc9MneSkbrgPJAbKl9nWr0ZeowV8BfsarBmPpBzGelA2w==
+"@eslint/config-helpers@^0.5.3":
+  version "0.5.3"
+  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
+  integrity sha512-lzGN0onllOZCGroKJmRwY6QcEHxbjBw1gwB8SgRSqK8YbbtEXMvKynsXc3553ckIEBxsbMBU7oOZXKIPGZNeZw==
  dependencies:
-    "@eslint/core" "^1.2.1"
+    "@eslint/core" "^1.1.1"

-"@eslint/core@^1.2.1":
-  version "1.2.1"
-  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.2.1.tgz#c1da7cd1b82fa8787f98b5629fb811848a1b63ce"
-  integrity sha512-MwcE1P+AZ4C6DWlpin/OmOA54mmIZ/+xZuJiQd4SyB29oAJjN30UW9wkKNptW2ctp4cEsvhlLY/CsQ1uoHDloQ==
+"@eslint/core@^1.1.1":
+  version "1.1.1"
+  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
+  integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
  dependencies:
    "@types/json-schema" "^7.0.15"

@@ -62,17 +62,17 @@
  resolved "https://registry.yarnpkg.com/@eslint/js/-/js-10.0.1.tgz#1e8a876f50117af8ab67e47d5ad94d38d6622583"
  integrity sha512-zeR9k5pd4gxjZ0abRoIaxdc7I3nDktoXZk2qOv9gCNWx3mVwEn32VRhyLaRsDiJjTs0xq/T8mfPtyuXu7GWBcA==

-"@eslint/object-schema@^3.0.5":
-  version "3.0.5"
-  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.5.tgz#88e9bf4d11d2b19c082e78ebe7ce88724a5eb091"
-  integrity sha512-vqTaUEgxzm+YDSdElad6PiRoX4t8VGDjCtt05zn4nU810UIx/uNEV7/lZJ6KwFThKZOzOxzXy48da+No7HZaMw==
+"@eslint/object-schema@^3.0.3":
+  version "3.0.3"
+  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.3.tgz#5bf671e52e382e4adc47a9906f2699374637db6b"
+  integrity sha512-iM869Pugn9Nsxbh/YHRqYiqd23AmIbxJOcpUMOuWCVNdoQJ5ZtwL6h3t0bcZzJUlC3Dq9jCFCESBZnX0GTv7iQ==

-"@eslint/plugin-kit@^0.7.1":
-  version "0.7.1"
-  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.7.1.tgz#c4125fd015eceeb09b793109fdbcd4dd0a02d346"
-  integrity sha512-rZAP3aVgB9ds9KOeUSL+zZ21hPmo8dh6fnIFwRQj5EAZl9gzR7wxYbYXYysAM8CTqGmUGyp2S4kUdV17MnGuWQ==
+"@eslint/plugin-kit@^0.6.1":
+  version "0.6.1"
+  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.1.tgz#eb9e6689b56ce8bc1855bb33090e63f3fc115e8e"
+  integrity sha512-iH1B076HoAshH1mLpHMgwdGeTs0CYwL0SPMkGuSebZrwBp16v415e9NZXg2jtrqPVQjf6IANe2Vtlr5KswtcZQ==
  dependencies:
-    "@eslint/core" "^1.2.1"
+    "@eslint/core" "^1.1.1"
    levn "^0.4.1"

 "@humanfs/core@^0.19.1":
@@ -103,10 +103,10 @@
  resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
  integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==

-"@langchain/core@^1.1.42":
-  version "1.1.42"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.42.tgz#607bfd34c1414c9cbeb2859fda1b254a14c28085"
-  integrity sha512-d0tN96BrwPMryYyWR9VfyAntSivn7EQrZCe5Kpxum93tcjTXbKKmKvItFec8AluQt88iTcmAJrahUZUNfzGwTA==
+"@langchain/core@^1.1.38":
+  version "1.1.38"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
+  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
  dependencies:
    "@cfworker/json-schema" "^4.0.2"
    "@standard-schema/spec" "^1.1.0"
@@ -117,6 +117,7 @@
    langsmith ">=0.5.0 <1.0.0"
    mustache "^4.2.0"
    p-queue "^6.6.2"
+    uuid "^11.1.0"
    zod "^3.25.76 || ^4"

 "@langchain/langgraph-checkpoint@^1.0.1":
@@ -126,23 +127,23 @@
  dependencies:
    uuid "^10.0.0"

-"@langchain/langgraph-sdk@~1.8.9":
-  version "1.8.10"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.10.tgz#bd175cda1ab629845ef28b22b45f3bdd1f65b029"
-  integrity sha512-wrB3rkRw5KAmsqezwvKP3midT4qJrV6Hj9XJMYo+cbvXC4HYpSAmyY/VriSyeTFRbLG/OP/pY2Yz+9Z54nSaXQ==
+"@langchain/langgraph-sdk@~1.8.1":
+  version "1.8.3"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
+  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
  dependencies:
    "@types/json-schema" "^7.0.15"
    p-queue "^9.0.1"
    p-retry "^7.1.1"
    uuid "^13.0.0"

-"@langchain/langgraph@^1.2.9":
-  version "1.2.9"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.9.tgz#4f0ba159062c3649c83cf5f621ef926b96933e32"
-  integrity sha512-3c7BtGycHC2v9p6w/Hv8L7kEl1YnZYOQTDJtmAp3knk6JOedO7d2bYP3y0SRyhv5orUEGf/KGvx8ZsB/ideP7g==
+"@langchain/langgraph@^1.2.6":
+  version "1.2.6"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
+  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
  dependencies:
    "@langchain/langgraph-checkpoint" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.9"
+    "@langchain/langgraph-sdk" "~1.8.1"
    "@standard-schema/spec" "1.1.0"
    uuid "^10.0.0"

@@ -166,35 +167,35 @@
  resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
  integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==

-"@turbo/darwin-64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.7.tgz#46fddae01ea7817192dc6ff36a678cc3879b753b"
-  integrity sha512-wnvOWuVWJ5EUHNKxExEWiGlTeVpLG1L0PCu5MUozyC1P2SHGiWsmpW6/yAuShH91Fa2TAHOvdCRBzriZh4j4Eg==
+"@turbo/darwin-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
+  integrity sha512-P8foouaP+y/p+hhEGBoZpzMbpVvUMwPjDpcy6wN7EYfvvyISD1USuV27qWkczecihwuPJzQ1lDBuL8ERcavTyg==

-"@turbo/darwin-arm64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.7.tgz#cd7cf3a024509af0f59ae3885216d62fd090fdb6"
-  integrity sha512-mA0FIPMwwN3lodDkQYaGxj6PeT7ZaN5aCEbkKn/WB+ZB9yJdVWA4J83GH7t43jqDc5dcnVluVN5UFx3plRiXhA==
+"@turbo/darwin-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
+  integrity sha512-SIzEkvtNdzdI50FJDaIQ6kQGqgSSdFPcdn0wqmmONN6iGKjy6hsT+EH99GP65FsfV7DLZTh2NmtTIRl2kdoz5Q==

-"@turbo/linux-64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.7.tgz#25ee9a2cb3042498a3203e14653b14041105020f"
-  integrity sha512-fEbUYpgb5l7P+q+5tsWF2gw+/GSjUsuUTcnfm+f0lozUjgcjLKyOat6PgtAChmIFcTPchCL/8rJ3TvkBy01gfA==
+"@turbo/linux-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.3.tgz#de693a996071654a0bea51c7ed9dc6fdc3950ae8"
+  integrity sha512-pLRwFmcHHNBvsCySLS6OFabr/07kDT2pxEt/k6eBf/3asiVQZKJ7Rk88AafQx2aYA641qek4RsXvYO3JYpiBug==

-"@turbo/linux-arm64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.7.tgz#5b19d6249a50cb8153b8f2bc22ad10bbda614fbe"
-  integrity sha512-VkUjulo9ytfHKUHOS5gy0XPoh4CTKPXWCL8nLdrlHVi9fSut31ECeUqnm/dAbETP5D4xo9mH9XkJ+qMzGe/zmg==
+"@turbo/linux-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.3.tgz#88fc6fe572d83c5488eeae9b564b57c335f4d856"
+  integrity sha512-gy6ApUroC2Nzv+qjGtE/uPNkhHAFU4c8God+zd5Aiv9L9uBgHlxVJpHT3XWl5xwlJZ2KWuMrlHTaS5kmNB+q1Q==

-"@turbo/windows-64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.7.tgz#900645776fa44ff8333e801d890992736f6dbc72"
-  integrity sha512-/GWdY6/x4aIHqkYJq596Rpdk1x0MkpRPkJcLAoB3yGRwyUms0+u2F1GnV54IbyAZTeKLRWSJKzNC+QwVGdYchA==
+"@turbo/windows-64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
+  integrity sha512-d0YelTX6hAsB7kIEtGB3PzIzSfAg3yDoUlHwuwJc3adBXUsyUIs0YLG+1NNtuhcDOUGnWQeKUoJ2pGWvbpRj7w==

-"@turbo/windows-arm64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.7.tgz#e678d73fdbcbb12a679403fe7ba070fb67f37810"
-  integrity sha512-xBBgxCC5PK2+WZ1PPRZdp+aJ0bMBcEbweXWux3RUHJvX9ZodcoQySkrW6qt+ahb+uk8ZjyQodLfDwtVSoYds1w==
+"@turbo/windows-arm64@2.9.3":
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.3.tgz#1891a89fe87d501e63a7a4367082f3afec18fa6f"
+  integrity sha512-/08CwpKJl3oRY8nOlh2YgilZVJDHsr60XTNxRhuDeuFXONpUZ5X+Nv65izbG/xBew9qxcJFbDX9/sAmAX+ITcQ==

 "@types/esrecurse@^4.3.1":
  version "4.3.1"
@@ -216,100 +217,100 @@
  resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
  integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==

-"@typescript-eslint/eslint-plugin@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.59.1.tgz#781bc6f9002982cfaf75a185240e24ad7276628a"
-  integrity sha512-BOziFIfE+6osHO9FoJG4zjoHUcvI7fTNBSpdAwrNH0/TLvzjsk2oo8XSSOT2HhqUyhZPfHv4UOffoJ9oEEQ7Ag==
+"@typescript-eslint/eslint-plugin@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
+  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
  dependencies:
    "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.59.1"
-    "@typescript-eslint/type-utils" "8.59.1"
-    "@typescript-eslint/utils" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/type-utils" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    ignore "^7.0.5"
    natural-compare "^1.4.0"
    ts-api-utils "^2.5.0"

-"@typescript-eslint/parser@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.59.1.tgz#835d20a62350659a082a1ae2a60b822c40488905"
-  integrity sha512-HDQH9O/47Dxi1ceDhBXdaldtf/WV9yRYMjbjCuNk3qnaTD564qwv61Y7+gTxwxRKzSrgO5uhtw584igXVuuZkA==
+"@typescript-eslint/parser@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
+  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
  dependencies:
-    "@typescript-eslint/scope-manager" "8.59.1"
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/typescript-estree" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/project-service@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.59.1.tgz#49efe87c37ef84262f23df8bf62fdc56698ca6fe"
-  integrity sha512-+MuHQlHiEr00Of/IQbE/MmEoi44znZHbR/Pz7Opq4HryUOlRi+/44dro9Ycy8Fyo+/024IWtw8m4JUMCGTYxDg==
+"@typescript-eslint/project-service@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
+  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
  dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.59.1"
-    "@typescript-eslint/types" "^8.59.1"
+    "@typescript-eslint/tsconfig-utils" "^8.58.0"
+    "@typescript-eslint/types" "^8.58.0"
    debug "^4.4.3"

-"@typescript-eslint/scope-manager@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.59.1.tgz#ed90d054fc3db2d0c81464db3a953a94fb85bb58"
-  integrity sha512-LwuHQI4pDOYVKvmH2dkaJo6YZCSgouVgnS/z7yBPKBMvgtBvyLqiLy9Z6b7+m/TRcX1NFYUqZetI5Y+aT4GEfg==
+"@typescript-eslint/scope-manager@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
+  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
  dependencies:
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"

-"@typescript-eslint/tsconfig-utils@8.59.1", "@typescript-eslint/tsconfig-utils@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.59.1.tgz#ba2a779a444f1d5cb92a606f9b209d239fd4cab1"
-  integrity sha512-/0nEyPbX7gRsk0Uwfe4ALwwgxuA66d/l2mhRDNlAvaj4U3juhUtJNq0DsY8M2AYwwb9rEq2hrC3IcIcEt++iJA==
+"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
+  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==

-"@typescript-eslint/type-utils@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.59.1.tgz#9c83d3f2ed9187a815e8120f72c08317e513e409"
-  integrity sha512-klWPBR2ciQHS3f++ug/mVnWKPjBUo7icEL3FAO1lhAR1Z1i5NQYZ1EannMSRYcq5qCv5wNALlXr6fksRHyYl7w==
+"@typescript-eslint/type-utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
+  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
  dependencies:
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/typescript-estree" "8.59.1"
-    "@typescript-eslint/utils" "8.59.1"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/utils" "8.58.0"
    debug "^4.4.3"
    ts-api-utils "^2.5.0"

-"@typescript-eslint/types@8.59.1", "@typescript-eslint/types@^8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.59.1.tgz#c1d014d3f03a97e0113a8899fc9d4e45a7fb0ca9"
-  integrity sha512-ZDCjgccSdYPw5Bxh+my4Z0lJU96ZDN7jbBzvmEn0FZx3RtU1C7VWl6NbDx94bwY3V5YsgwRzJPOgeY2Q/nLG8A==
+"@typescript-eslint/types@8.58.0", "@typescript-eslint/types@^8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
+  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==

-"@typescript-eslint/typescript-estree@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.59.1.tgz#4391fadf98a22c869c5b6522dbf4e491e53e351a"
-  integrity sha512-OUd+vJS05sSkOip+BkZ/2NS8RMxrAAJemsC6vU3kmfLyeaJT0TftHkV9mcx2107MmsBVXXexhVu4F0TZXyMl4g==
+"@typescript-eslint/typescript-estree@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
+  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
  dependencies:
-    "@typescript-eslint/project-service" "8.59.1"
-    "@typescript-eslint/tsconfig-utils" "8.59.1"
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/visitor-keys" "8.59.1"
+    "@typescript-eslint/project-service" "8.58.0"
+    "@typescript-eslint/tsconfig-utils" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/visitor-keys" "8.58.0"
    debug "^4.4.3"
    minimatch "^10.2.2"
    semver "^7.7.3"
    tinyglobby "^0.2.15"
    ts-api-utils "^2.5.0"

-"@typescript-eslint/utils@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.59.1.tgz#cf6204d69701bbbc5b150f98c18aeef0a42c10bd"
-  integrity sha512-3pIeoXhCeYH9FSCBI8P3iNwJlGuzPlYKkTlen2O9T1DSeeg8UG8jstq6BLk+Mda0qup7mgk4z4XL4OzRaxZ8LA==
+"@typescript-eslint/utils@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
+  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
  dependencies:
    "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.59.1"
-    "@typescript-eslint/types" "8.59.1"
-    "@typescript-eslint/typescript-estree" "8.59.1"
+    "@typescript-eslint/scope-manager" "8.58.0"
+    "@typescript-eslint/types" "8.58.0"
+    "@typescript-eslint/typescript-estree" "8.58.0"

-"@typescript-eslint/visitor-keys@8.59.1":
-  version "8.59.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.59.1.tgz#b5cba576287a3eeb0b400b62813189abcc3f976a"
-  integrity sha512-LdDNl6C5iJExcM0Yh0PwAIBb9PrSiCsWamF/JyEZawm3kFDnRoaq3LGE4bpyRao/fWeGKKyw7icx0YxrLFC5Cg==
+"@typescript-eslint/visitor-keys@8.58.0":
+  version "8.58.0"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
+  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
  dependencies:
-    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/types" "8.58.0"
    eslint-visitor-keys "^5.0.0"

 acorn-jsx@^5.3.2:
@@ -786,17 +787,17 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
  resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
  integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==

-eslint@^10.2.1:
-  version "10.2.1"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.2.1.tgz#224b2a6caeb34473eddcf918762363e2e063222a"
-  integrity sha512-wiyGaKsDgqXvF40P8mDwiUp/KQjE1FdrIEJsM8PZ3XCiniTMXS3OHWWUe5FI5agoCnr8x4xPrTDZuxsBlNHl+Q==
+eslint@^10.1.0:
+  version "10.1.0"
+  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
+  integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
  dependencies:
    "@eslint-community/eslint-utils" "^4.8.0"
    "@eslint-community/regexpp" "^4.12.2"
-    "@eslint/config-array" "^0.23.5"
-    "@eslint/config-helpers" "^0.5.5"
-    "@eslint/core" "^1.2.1"
-    "@eslint/plugin-kit" "^0.7.1"
+    "@eslint/config-array" "^0.23.3"
+    "@eslint/config-helpers" "^0.5.3"
+    "@eslint/core" "^1.1.1"
+    "@eslint/plugin-kit" "^0.6.1"
    "@humanfs/node" "^0.16.6"
    "@humanwhocodes/module-importer" "^1.0.1"
    "@humanwhocodes/retry" "^0.4.2"
@@ -1327,9 +1328,9 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.20"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
-  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
+  version "0.5.18"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.18.tgz#c691ad23614f0b46eaf07d982e0ac988e1f43880"
+  integrity sha512-3zuZUWffTHQ+73EAwnodADtf534VNEZUpXr9jC12qyG8/IQuJET7PRsCpTb9wX2lmBspakwLUpqpj3tNm/0bVA==
  dependencies:
    p-queue "6.6.2"
    uuid "10.0.0"
@@ -1558,10 +1559,10 @@ prettier-linter-helpers@^1.0.1:
  dependencies:
    fast-diff "^1.1.2"

-prettier@^3.8.3:
-  version "3.8.3"
-  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
-  integrity sha512-7igPTM53cGHMW8xWuVTydi2KO233VFiTNyF5hLJqpilHfmn8C8gPf+PS7dUT64YcXFbiMGZxS9pCSxL/Dxm/Jw==
+prettier@^3.8.1:
+  version "3.8.1"
+  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.1.tgz#edf48977cf991558f4fcbd8a3ba6015ba2a3a173"
+  integrity sha512-UOnG6LftzbdaHZcKoPFtOcCKztrQ57WkHDeRD9t/PTQtmT0NHSeWWepj6pS0z/N7+08BHFDQVUrfmfMRcZwbMg==

 punycode@^2.1.0:
  version "2.3.1"
@@ -1814,17 +1815,17 @@ tsconfig-paths@^3.15.0:
    minimist "^1.2.6"
    strip-bom "^3.0.0"

-turbo@^2.9.7:
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.7.tgz#da6d5a821f0bde5174e1a55af6690dad5c2fb004"
-  integrity sha512-epxzqVO2s0IxcSWcgb+qKrtco8isfe7g3VtiS6hkYnEK4A9XQDZbrtavQ6MtWR1KoQn+1fUomaQth2rfRHlUlg==
+turbo@^2.9.3:
+  version "2.9.3"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
+  integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
  optionalDependencies:
-    "@turbo/darwin-64" "2.9.7"
-    "@turbo/darwin-arm64" "2.9.7"
-    "@turbo/linux-64" "2.9.7"
-    "@turbo/linux-arm64" "2.9.7"
-    "@turbo/windows-64" "2.9.7"
-    "@turbo/windows-arm64" "2.9.7"
+    "@turbo/darwin-64" "2.9.3"
+    "@turbo/darwin-arm64" "2.9.3"
+    "@turbo/linux-64" "2.9.3"
+    "@turbo/linux-arm64" "2.9.3"
+    "@turbo/windows-64" "2.9.3"
+    "@turbo/windows-arm64" "2.9.3"

 type-check@^0.4.0, type-check@~0.4.0:
  version "0.4.0"
@@ -1905,6 +1906,11 @@ uuid@10.0.0, uuid@^10.0.0:
  resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==

+uuid@^11.1.0:
+  version "11.1.0"
+  resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
+  integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
+
 uuid@^13.0.0:
  version "13.0.0"
  resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
@@ -1 +1 @@
-__version__ = "0.4.24"
+__version__ = "0.4.21"
@@ -1,124 +0,0 @@
-"""Shared ignore-file handling for local source filtering."""
-
-import pathlib
-from dataclasses import dataclass
-
-import pathspec
-
-_ALWAYS_EXCLUDE = [
-    "__pycache__/",
-    ".git/",
-    ".venv/",
-    "venv/",
-    "node_modules/",
-    ".tox/",
-    ".mypy_cache/",
-]
-_ALWAYS_EXCLUDE_NAMES = frozenset(
-    pattern.rstrip("/").split("/")[-1] for pattern in _ALWAYS_EXCLUDE
-)
-_GLOB_CHARS = frozenset("*?[")
-
-
-@dataclass(frozen=True, slots=True)
-class _NegatedDockerignoreHints:
-    exact_dirs: frozenset[pathlib.PurePosixPath] = frozenset()
-    wildcard_prefixes: frozenset[pathlib.PurePosixPath] = frozenset()
-    recurse_all: bool = False
-
-    def requires_dir_walk(self, path: pathlib.PurePosixPath) -> bool:
-        if self.recurse_all or path in self.exact_dirs:
-            return True
-        return any(
-            path == prefix or path in prefix.parents or prefix in path.parents
-            for prefix in self.wildcard_prefixes
-        )
-
-
-def _build_ignore_spec(
-    directory: pathlib.Path, *, include_gitignore: bool = True
-) -> pathspec.PathSpec:
-    """Build a PathSpec combining built-in exclusions with ignore files.
-
-    Always excludes common non-source directories (`_ALWAYS_EXCLUDE`). On top
-    of that, patterns from `.dockerignore` are merged in. `.gitignore` patterns
-    are optional because some callers need Docker build-context semantics,
-    while archive creation wants both files.
-    """
-    lines: list[str] = list(_ALWAYS_EXCLUDE)
-    ignore_files = [".dockerignore"]
-    if include_gitignore:
-        ignore_files.append(".gitignore")
-    for name in ignore_files:
-        ignore_file = directory / name
-        if ignore_file.is_file():
-            lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
-    return pathspec.PathSpec.from_lines("gitwildmatch", lines)
-
-
-def _is_always_excluded(path: pathlib.PurePosixPath, *, is_dir: bool) -> bool:
-    """Whether `path` lives inside a built-in excluded directory."""
-    parent_parts = path.parts if is_dir else path.parts[:-1]
-    return any(part in _ALWAYS_EXCLUDE_NAMES for part in parent_parts)
-
-
-def _build_dockerignore_negation_hints(
-    directory: pathlib.Path,
-) -> _NegatedDockerignoreHints:
-    """Summarize which ignored directories must still be traversed.
-
-    Most negations only require walking a small, concrete chain of parent
-    directories (for example `!assets/keep.txt` requires entering `assets/`).
-    Broader glob negations may force a wider walk.
-    """
-    ignore_file = directory / ".dockerignore"
-    if not ignore_file.is_file():
-        return _NegatedDockerignoreHints()
-
-    exact_dirs: set[pathlib.PurePosixPath] = set()
-    wildcard_prefixes: set[pathlib.PurePosixPath] = set()
-    recurse_all = False
-
-    for raw_line in ignore_file.read_text(encoding="utf-8").splitlines():
-        line = raw_line.strip()
-        if not line or line.startswith("#") or line.startswith("\\!"):
-            continue
-        if line.startswith("\\#"):
-            line = line[1:]
-        if not line.startswith("!"):
-            continue
-
-        pattern = line[1:].lstrip("/")
-        while pattern.startswith("./"):
-            pattern = pattern[2:]
-        pattern = pattern.rstrip("/")
-        parts = [part for part in pattern.split("/") if part and part != "."]
-        if not parts:
-            recurse_all = True
-            continue
-
-        wildcard_index = next(
-            (
-                idx
-                for idx, part in enumerate(parts)
-                if any(char in part for char in _GLOB_CHARS)
-            ),
-            None,
-        )
-        if wildcard_index is not None:
-            literal_parts = parts[:wildcard_index]
-            if not literal_parts:
-                recurse_all = True
-                continue
-            wildcard_prefixes.add(pathlib.PurePosixPath(*literal_parts))
-            continue
-
-        parent_parts = parts[:-1]
-        for idx in range(1, len(parent_parts) + 1):
-            exact_dirs.add(pathlib.PurePosixPath(*parent_parts[:idx]))
-
-    return _NegatedDockerignoreHints(
-        exact_dirs=frozenset(exact_dirs),
-        wildcard_prefixes=frozenset(wildcard_prefixes),
-        recurse_all=recurse_all,
-    )
@@ -26,15 +26,8 @@ class LogData(TypedDict):
    params: dict[str, Any]


-def get_anonymized_params(
-    kwargs: dict[str, Any], *, cli_command: str
-) -> dict[str, bool | str]:
-    params: dict[str, bool | str] = {}
-
-    if cli_command == "deploy" and (
-        analytics_source := os.getenv("LANGGRAPH_CLI_ANALYTICS_SOURCE")
-    ):
-        params["source"] = analytics_source
+def get_anonymized_params(kwargs: dict[str, Any]) -> dict[str, bool]:
+    params = {}

    # anonymize params with values
    if config := kwargs.get("config"):
@@ -95,7 +88,7 @@ def log_command(func):
            "python_version": platform.python_version(),
            "cli_version": __version__,
            "cli_command": func.__name__,
-            "params": get_anonymized_params(kwargs, cli_command=func.__name__),
+            "params": get_anonymized_params(kwargs),
        }

        background_thread = threading.Thread(target=log_data, args=(data,))
@@ -9,12 +9,35 @@ from contextlib import contextmanager
 import click
 import pathspec

-from langgraph_cli._ignore import _build_ignore_spec
 from langgraph_cli.config import Config, _assemble_local_deps

 _WARN_SIZE = 50 * 1024 * 1024  # 50 MB
 _MAX_SIZE = 200 * 1024 * 1024  # 200 MB

+_ALWAYS_EXCLUDE = [
+    "__pycache__/",
+    ".git/",
+    ".venv/",
+    "venv/",
+    "node_modules/",
+    ".tox/",
+    ".mypy_cache/",
+]
+
+
+def _build_ignore_spec(directory: pathlib.Path) -> pathspec.PathSpec:
+    """Build a PathSpec combining built-in exclusions with .dockerignore and .gitignore.
+
+    Always excludes common non-source directories (_ALWAYS_EXCLUDE).  On top of
+    that, patterns from .dockerignore and .gitignore (if present) are merged in.
+    """
+    lines: list[str] = list(_ALWAYS_EXCLUDE)
+    for name in (".dockerignore", ".gitignore"):
+        ignore_file = directory / name
+        if ignore_file.is_file():
+            lines.extend(ignore_file.read_text(encoding="utf-8").splitlines())
+    return pathspec.PathSpec.from_lines("gitwildmatch", lines)
+

 def _tar_filter(tarinfo: tarfile.TarInfo) -> tarfile.TarInfo | None:
    """Strip symlinks, hardlinks, and traversal paths from archive."""
@@ -10,13 +10,7 @@ except ModuleNotFoundError:  # pragma: no cover - exercised on Python 3.10.
    import tomli as tomllib

 import click
-import pathspec

-from langgraph_cli._ignore import (
-    _build_dockerignore_negation_hints,
-    _build_ignore_spec,
-    _is_always_excluded,
-)
 from langgraph_cli.schemas import Config


@@ -446,32 +440,16 @@ def _container_root_for_uv_lock_package(


 def _uv_lock_package_copy_items(
-    package: UvLockPackage,
-    plan: UvLockPlan,
-    ignore_spec: pathspec.PathSpec,
+    package: UvLockPackage, plan: UvLockPlan
 ) -> tuple[tuple[pathlib.PurePosixPath, pathlib.PurePosixPath], ...]:
-    # Skip entries that .dockerignore / built-in exclusions would strip from
-    # the build context. Emitting `ADD <path>` for a file that Docker has
-    # filtered out causes the build to fail with
-    # "failed to compute cache key: <path> not found".
    if package.root != plan.project_root:
        relative_root = pathlib.PurePosixPath(
            *package.root.relative_to(plan.project_root).parts
        )
-        if _is_always_excluded(relative_root, is_dir=True) or ignore_spec.match_file(
-            f"{relative_root.as_posix()}/"
-        ):
-            raise click.UsageError(
-                f"Workspace member '{package.name}' at {relative_root} is "
-                "excluded from the Docker build context, but uv.lock requires "
-                "it to be copied into the build context. Remove the matching "
-                "pattern or drop the member from [tool.uv.workspace].members."
-            )
        return ((relative_root, plan.container_roots[package.root]),)

    root_container = plan.container_roots[package.root]
    workspace_member_roots = plan.all_workspace_roots - {plan.project_root}
-    negated_dockerignore_hints = _build_dockerignore_negation_hints(plan.project_root)

    def iter_entries(
        current_dir: pathlib.Path,
@@ -483,32 +461,18 @@ def _uv_lock_package_copy_items(
                # and excluded entirely otherwise.
                continue

+            descendant_member_roots = [
+                ws_root
+                for ws_root in workspace_member_roots
+                if child in ws_root.parents
+            ]
+            if child.is_dir() and descendant_member_roots:
+                entries.extend(iter_entries(child))
+                continue
+
            relative_child = pathlib.PurePosixPath(
                *child.relative_to(plan.project_root).parts
            )
-            is_dir = child.is_dir()
-            if _is_always_excluded(relative_child, is_dir=is_dir):
-                continue
-            ignored = ignore_spec.match_file(
-                f"{relative_child.as_posix()}/" if is_dir else relative_child.as_posix()
-            )
-            is_workspace_parent = is_dir and any(
-                child in ws_root.parents for ws_root in workspace_member_roots
-            )
-
-            if is_workspace_parent:
-                entries.extend(iter_entries(child))
-                continue
-            if (
-                is_dir
-                and ignored
-                and negated_dockerignore_hints.requires_dir_walk(relative_child)
-            ):
-                entries.extend(iter_entries(child))
-                continue
-            if ignored:
-                continue
-
            entries.append(
                (relative_child, root_container.joinpath(*relative_child.parts))
            )
@@ -992,13 +956,10 @@ def python_config_to_docker_uv_lock(
    docker_plan.add_raw("# -- End of uv.lock dependencies install --")
    docker_plan.add_blank()

-    ignore_spec = _build_ignore_spec(plan.project_root, include_gitignore=False)
    for package in plan.install_order:
        package_label = package.root.relative_to(plan.project_root).as_posix() or "."
        docker_plan.add_raw(f"# -- Adding workspace package {package_label} --")
-        for source, destination in _uv_lock_package_copy_items(
-            package, plan, ignore_spec
-        ):
+        for source, destination in _uv_lock_package_copy_items(package, plan):
            docker_plan.add_raw(copy_from_project_root(source, destination.as_posix()))
        docker_plan.add_instruction(
            "WORKDIR", plan.container_roots[package.root].as_posix()
@@ -23,13 +23,13 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]

 [project.urls]
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/cli"
-Twitter = "https://x.com/langchain_oss"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"

@@ -99,13 +99,6 @@ class TestBuildIgnoreSpec:
        assert spec.match_file("app.log")
        assert spec.match_file("mod.pyc")

-    def test_can_skip_gitignore(self, tmp_path):
-        (tmp_path / ".dockerignore").write_text("*.log\n")
-        (tmp_path / ".gitignore").write_text("*.pyc\n")
-        spec = _build_ignore_spec(tmp_path, include_gitignore=False)
-        assert spec.match_file("app.log")
-        assert not spec.match_file("mod.pyc")
-
    def test_no_ignore_files_only_builtins(self, tmp_path):
        spec = _build_ignore_spec(tmp_path)
        assert spec.match_file("__pycache__/")
@@ -4,7 +4,6 @@ import os
 import pathlib
 import tempfile
 import textwrap
-from unittest.mock import patch

 import click
 import pytest
@@ -1856,364 +1855,6 @@ def test_config_to_docker_uv_lock_supports_single_uv_project_root():
        assert additional_contexts == {}


-def test_config_to_docker_uv_lock_skips_dockerignore_entries():
-    """Entries filtered by .dockerignore / built-in excludes must not appear
-    as ADD lines. Docker fails to compute the cache key for paths that the
-    build context has stripped."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        tmpdir_path = pathlib.Path(tmpdir)
-        project_root = tmpdir_path / "single"
-        project_root.mkdir()
-        (project_root / "uv.lock").write_text("# uv lock file\n")
-        (project_root / "pyproject.toml").write_text(
-            textwrap.dedent(
-                """
-                [project]
-                name = "single-app"
-                version = "0.1.0"
-                dependencies = ["httpx>=0.28"]
-
-                [build-system]
-                requires = ["setuptools>=61"]
-                build-backend = "setuptools.build_meta"
-                """
-            ).strip()
-            + "\n"
-        )
-        (project_root / "langgraph.json").write_text("{}\n")
-        (project_root / "src").mkdir()
-        (project_root / "src" / "agent.py").write_text("graph = object()\n")
-        (project_root / "README.md").write_text("# hi\n")
-
-        # Built-in exclusions — must never appear as ADD lines.
-        (project_root / ".git").mkdir()
-        (project_root / ".git" / "HEAD").write_text("ref: refs/heads/main\n")
-        (project_root / ".venv").mkdir()
-        (project_root / ".venv" / "pyvenv.cfg").write_text("home = /usr\n")
-        (project_root / "__pycache__").mkdir()
-        (project_root / "__pycache__" / "x.cpython-311.pyc").write_bytes(b"\x00")
-
-        # .dockerignore excludes .gitignore and a custom path.
-        (project_root / ".dockerignore").write_text(".gitignore\nsecrets.env\n")
-        (project_root / ".gitignore").write_text("*.pyc\n")
-        (project_root / "secrets.env").write_text("TOKEN=abc\n")
-
-        config = validate_config(
-            {
-                "python_version": "3.11",
-                "graphs": {"agent": "./src/agent.py:graph"},
-                "source": {"kind": "uv"},
-            }
-        )
-        docker, _ = config_to_docker(
-            project_root / "langgraph.json",
-            config,
-            base_image="langchain/langgraph-api:0.2.47",
-        )
-
-        for excluded in (
-            "ADD .git ",
-            "ADD .gitignore ",
-            "ADD .venv ",
-            "ADD __pycache__ ",
-            "ADD secrets.env ",
-        ):
-            assert excluded not in docker, (
-                f"{excluded!r} should be filtered out of Dockerfile:\n{docker}"
-            )
-
-        # The .dockerignore itself is still part of the context and should be
-        # ADDed (Docker needs it at build time, and archive.py includes it).
-        assert "ADD .dockerignore /deps/workspace/.dockerignore" in docker
-        assert "ADD src /deps/workspace/src" in docker
-        assert "ADD README.md /deps/workspace/README.md" in docker
-
-
-def test_config_to_docker_uv_lock_does_not_apply_gitignore():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        tmpdir_path = pathlib.Path(tmpdir)
-        project_root = tmpdir_path / "single"
-        project_root.mkdir()
-        (project_root / "uv.lock").write_text("# uv lock file\n")
-        (project_root / "pyproject.toml").write_text(
-            textwrap.dedent(
-                """
-                [project]
-                name = "single-app"
-                version = "0.1.0"
-                dependencies = ["httpx>=0.28"]
-
-                [build-system]
-                requires = ["setuptools>=61"]
-                build-backend = "setuptools.build_meta"
-                """
-            ).strip()
-            + "\n"
-        )
-        (project_root / "langgraph.json").write_text("{}\n")
-        (project_root / "src").mkdir()
-        (project_root / "src" / "agent.py").write_text("graph = object()\n")
-        (project_root / "README.md").write_text("# hi\n")
-        (project_root / ".gitignore").write_text("README.md\n")
-
-        config = validate_config(
-            {
-                "python_version": "3.11",
-                "graphs": {"agent": "./src/agent.py:graph"},
-                "source": {"kind": "uv"},
-            }
-        )
-        docker, _ = config_to_docker(
-            project_root / "langgraph.json",
-            config,
-            base_image="langchain/langgraph-api:0.2.47",
-        )
-
-        assert "ADD README.md /deps/workspace/README.md" in docker
-
-
-def test_config_to_docker_uv_lock_skips_dockerignore_entries_in_workspace():
-    """Multi-member workspace: ignore patterns must filter root-level entries
-    AND entries encountered while recursing into directories that contain
-    workspace members (the `descendant_member_roots` branch)."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        tmpdir_path = pathlib.Path(tmpdir)
-        project_root, config_path = _write_uv_lock_workspace(
-            tmpdir_path,
-            agent_dependencies=["workspace-root", "shared", "httpx>=0.28"],
-            root_sources="[tool.uv.sources]\nshared = { workspace = true }\nworkspace-root = { workspace = true }",
-            agent_sources="[tool.uv.sources]\nshared = { workspace = true }\nworkspace-root = { workspace = true }",
-        )
-        root_src = project_root / "src" / "workspace_root"
-        root_src.mkdir(parents=True)
-        (root_src / "__init__.py").write_text("__all__ = []\n")
-        (project_root / "README.md").write_text("workspace root package\n")
-
-        # A non-member sibling of the `apps/agent` member that should be
-        # filtered out via .dockerignore. This exercises the recursion into
-        # `apps/` where `apps/agent` is kept (it's a member) but its sibling is
-        # filtered.
-        (project_root / "apps" / "scratch.txt").write_text("scratch\n")
-        # A root-level path that .dockerignore excludes.
-        (project_root / "secrets.env").write_text("TOKEN=abc\n")
-        (project_root / ".dockerignore").write_text("secrets.env\napps/scratch.txt\n")
-
-        config = validate_config(
-            {
-                "python_version": "3.11",
-                "graphs": {
-                    "agent": "../../apps/agent/src/agent/graph.py:graph",
-                },
-                "source": {"kind": "uv", "root": "../..", "package": "agent"},
-            }
-        )
-        docker, _ = config_to_docker(
-            config_path, config, base_image="langchain/langgraph-api:0.2.47"
-        )
-
-        assert "COPY --from=uv-workspace-root src /deps/workspace/src" in docker
-        assert (
-            "COPY --from=uv-workspace-root README.md /deps/workspace/README.md"
-            in docker
-        )
-        assert (
-            "COPY --from=uv-workspace-root .dockerignore /deps/workspace/.dockerignore"
-            in docker
-        )
-        assert "secrets.env" not in docker
-        assert "apps/scratch.txt" not in docker
-        # Workspace members themselves are still copied via their own per-member
-        # COPY line — the sibling filter must not disturb this.
-        assert (
-            "COPY --from=uv-workspace-root apps/agent /deps/workspace/apps/agent"
-            in docker
-        )
-
-
-def test_config_to_docker_uv_lock_preserves_negated_dockerignore_descendants():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        tmpdir_path = pathlib.Path(tmpdir)
-        project_root = tmpdir_path / "single"
-        project_root.mkdir()
-        (project_root / "uv.lock").write_text("# uv lock file\n")
-        (project_root / "pyproject.toml").write_text(
-            textwrap.dedent(
-                """
-                [project]
-                name = "single-app"
-                version = "0.1.0"
-                dependencies = ["httpx>=0.28"]
-
-                [build-system]
-                requires = ["setuptools>=61"]
-                build-backend = "setuptools.build_meta"
-                """
-            ).strip()
-            + "\n"
-        )
-        (project_root / "langgraph.json").write_text("{}\n")
-        (project_root / "src").mkdir()
-        (project_root / "src" / "agent.py").write_text("graph = object()\n")
-        (project_root / "assets").mkdir()
-        (project_root / "assets" / "keep.txt").write_text("keep\n")
-        (project_root / "assets" / "drop.txt").write_text("drop\n")
-        (project_root / ".dockerignore").write_text("assets/\n!assets/keep.txt\n")
-
-        config = validate_config(
-            {
-                "python_version": "3.11",
-                "graphs": {"agent": "./src/agent.py:graph"},
-                "source": {"kind": "uv"},
-            }
-        )
-        docker, _ = config_to_docker(
-            project_root / "langgraph.json",
-            config,
-            base_image="langchain/langgraph-api:0.2.47",
-        )
-
-        assert "ADD assets /deps/workspace/assets" not in docker
-        assert "ADD assets/keep.txt /deps/workspace/assets/keep.txt" in docker
-        assert "assets/drop.txt" not in docker
-
-
-def test_config_to_docker_uv_lock_prunes_unrelated_ignored_subtrees():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        tmpdir_path = pathlib.Path(tmpdir)
-        project_root = tmpdir_path / "single"
-        project_root.mkdir()
-        (project_root / "uv.lock").write_text("# uv lock file\n")
-        (project_root / "pyproject.toml").write_text(
-            textwrap.dedent(
-                """
-                [project]
-                name = "single-app"
-                version = "0.1.0"
-                dependencies = ["httpx>=0.28"]
-
-                [build-system]
-                requires = ["setuptools>=61"]
-                build-backend = "setuptools.build_meta"
-                """
-            ).strip()
-            + "\n"
-        )
-        (project_root / "langgraph.json").write_text("{}\n")
-        (project_root / "src").mkdir()
-        (project_root / "src" / "agent.py").write_text("graph = object()\n")
-        (project_root / "assets").mkdir()
-        (project_root / "assets" / "keep.txt").write_text("keep\n")
-        (project_root / "vendor").mkdir()
-        (project_root / "vendor" / "huge.txt").write_text("large\n")
-        (project_root / ".dockerignore").write_text(
-            "vendor/\nassets/\n!assets/keep.txt\n"
-        )
-
-        config = validate_config(
-            {
-                "python_version": "3.11",
-                "graphs": {"agent": "./src/agent.py:graph"},
-                "source": {"kind": "uv"},
-            }
-        )
-
-        original_iterdir = pathlib.Path.iterdir
-
-        def guarded_iterdir(self):
-            if self == project_root / "vendor":
-                raise AssertionError("should not walk unrelated ignored subtree")
-            return original_iterdir(self)
-
-        with patch.object(
-            pathlib.Path, "iterdir", autospec=True, side_effect=guarded_iterdir
-        ):
-            docker, _ = config_to_docker(
-                project_root / "langgraph.json",
-                config,
-                base_image="langchain/langgraph-api:0.2.47",
-            )
-
-        assert "ADD assets/keep.txt /deps/workspace/assets/keep.txt" in docker
-        assert "vendor/huge.txt" not in docker
-
-
-def test_config_to_docker_uv_lock_never_reincludes_always_excluded_subtrees():
-    with tempfile.TemporaryDirectory() as tmpdir:
-        tmpdir_path = pathlib.Path(tmpdir)
-        project_root = tmpdir_path / "single"
-        project_root.mkdir()
-        (project_root / "uv.lock").write_text("# uv lock file\n")
-        (project_root / "pyproject.toml").write_text(
-            textwrap.dedent(
-                """
-                [project]
-                name = "single-app"
-                version = "0.1.0"
-                dependencies = ["httpx>=0.28"]
-
-                [build-system]
-                requires = ["setuptools>=61"]
-                build-backend = "setuptools.build_meta"
-                """
-            ).strip()
-            + "\n"
-        )
-        (project_root / "langgraph.json").write_text("{}\n")
-        (project_root / "src").mkdir()
-        (project_root / "src" / "agent.py").write_text("graph = object()\n")
-        (project_root / ".venv" / "pkg").mkdir(parents=True)
-        (project_root / ".venv" / "pkg" / "keep.txt").write_text("keep\n")
-        (project_root / "node_modules" / "pkg").mkdir(parents=True)
-        (project_root / "node_modules" / "pkg" / "package.json").write_text("{}\n")
-        (project_root / ".dockerignore").write_text(
-            "!.venv/pkg/keep.txt\n!node_modules/pkg/package.json\n"
-        )
-
-        config = validate_config(
-            {
-                "python_version": "3.11",
-                "graphs": {"agent": "./src/agent.py:graph"},
-                "source": {"kind": "uv"},
-            }
-        )
-        docker, _ = config_to_docker(
-            project_root / "langgraph.json",
-            config,
-            base_image="langchain/langgraph-api:0.2.47",
-        )
-
-        assert ".venv/pkg/keep.txt" not in docker
-        assert "node_modules/pkg/package.json" not in docker
-        assert "ADD src /deps/workspace/src" in docker
-
-
-def test_config_to_docker_uv_lock_rejects_ignored_workspace_member():
-    """A workspace member matched by .dockerignore cannot be copied into the
-    build context — uv.lock requires it, so fail loudly with a clear message."""
-    with tempfile.TemporaryDirectory() as tmpdir:
-        tmpdir_path = pathlib.Path(tmpdir)
-        project_root, config_path = _write_uv_lock_workspace(
-            tmpdir_path,
-            agent_sources="[tool.uv.sources]\nshared = { workspace = true }",
-        )
-        (project_root / ".dockerignore").write_text("libs/shared\n")
-
-        config = validate_config(
-            {
-                "python_version": "3.11",
-                "graphs": {"agent": "../../apps/agent/src/agent/graph.py:graph"},
-                "source": {"kind": "uv", "root": "../..", "package": "agent"},
-                "auth": {"path": "../../libs/shared/src/shared/auth.py:create_auth"},
-            }
-        )
-        with pytest.raises(
-            click.UsageError, match=r"Workspace member 'shared' at libs/shared"
-        ):
-            config_to_docker(
-                config_path, config, base_image="langchain/langgraph-api:0.2.47"
-            )
-
-
 def test_config_to_docker_uv_lock_rejects_invalid_source_package_type():
    with tempfile.TemporaryDirectory() as tmpdir:
        tmpdir_path = pathlib.Path(tmpdir)
@@ -290,7 +290,7 @@ wheels = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.7.26"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -303,9 +303,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
+    { url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
 ]

 [[package]]
@@ -266,7 +266,7 @@ wheels = [

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.7.26"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -279,9 +279,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/76/86/6de4f6f0451a9658f26f633e0bb090552a4dafd7df3f1ae7f0d40558e67e/langsmith-0.7.26.tar.gz", hash = "sha256:a3e06f3d689ce7195717aa6b8f91082319819ec7ea9b9a62cdcd3d9dc25bfc7b", size = 1146118, upload-time = "2026-04-06T15:01:03.336Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
+    { url = "https://files.pythonhosted.org/packages/81/8e/7eb7d65ce62e98e74b9f18f193ea7ac3996d4fbd71fffcc67d0f7ba3103e/langsmith-0.7.26-py3-none-any.whl", hash = "sha256:fe5c877972cea450c1c48251c8fae0f18543c8d19dfdb9ff9a9c4263763dde4e", size = 360160, upload-time = "2026-04-06T15:01:01.516Z" },
 ]

 [[package]]
@@ -18,7 +18,7 @@
  <a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
  <a href="https://github.com/langchain-ai/langgraph/issues" target="_blank"><img src="https://img.shields.io/github/issues-raw/langchain-ai/langgraph" alt="Open Issues"></a>
  <a href="https://docs.langchain.com/oss/python/langgraph/overview" target="_blank"><img src="https://img.shields.io/badge/docs-latest-blue" alt="Docs"></a>
-  <a href="https://x.com/langchain_oss" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain_oss.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
+  <a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
 </div>

 <br>
@@ -12,9 +12,6 @@ RESUME = sys.intern("__resume__")
 # for values passed to resume a node after an interrupt
 ERROR = sys.intern("__error__")
 # for errors raised by nodes
-ERROR_SOURCE_NODE = sys.intern("__error_source_node__")
-# failed source node name for node-level error handlers
-# value format in pending writes: `(task_id, ERROR_SOURCE_NODE, node_name: str)`
 NO_WRITES = sys.intern("__no_writes__")
 # marker to signal node didn't write anything
 TASKS = sys.intern("__pregel_tasks")
@@ -59,8 +56,6 @@ CONFIG_KEY_CHECKPOINT_NS = sys.intern("checkpoint_ns")
 # holds the current checkpoint_ns, "" for root graph
 CONFIG_KEY_NODE_FINISHED = sys.intern("__pregel_node_finished")
 # holds a callback to be called when a node is finished
-CONFIG_KEY_TIMED_ATTEMPT_OBSERVER = sys.intern("__pregel_timed_attempt_observer")
-# holds a callback to be called when an idle-timed node attempt starts or finishes
 CONFIG_KEY_SCRATCHPAD = sys.intern("__pregel_scratchpad")
 # holds a mutable dict for temporary storage scoped to the current task
 CONFIG_KEY_RUNNER_SUBMIT = sys.intern("__pregel_runner_submit")
@@ -74,10 +69,6 @@ CONFIG_KEY_RESUME_MAP = sys.intern("__pregel_resume_map")
 CONFIG_KEY_STREAM_MESSAGES_V2 = sys.intern("__pregel_stream_messages_v2")
 # when True, attach StreamMessagesHandlerV2 so content-block (v2) events
 # flow through stream_mode="messages"; set by StreamingHandler only.
-CONFIG_KEY_NODE_ERROR = sys.intern("__pregel_node_error")
-# holds a `NodeError` (failed source node + exception) for the current
-# node-level error handler invocation, injected when handler signature
-# requests `error: NodeError`

 # --- Other constants ---
 PUSH = sys.intern("__pregel_push")
@@ -105,7 +96,6 @@ RESERVED = {
    INTERRUPT,
    RESUME,
    ERROR,
-    ERROR_SOURCE_NODE,
    NO_WRITES,
    # reserved config.configurable keys
    CONFIG_KEY_SEND,
@@ -119,7 +109,6 @@ RESERVED = {
    CONFIG_KEY_CHECKPOINT_MAP,
    CONFIG_KEY_CHECKPOINT_ID,
    CONFIG_KEY_CHECKPOINT_NS,
-    CONFIG_KEY_TIMED_ATTEMPT_OBSERVER,
    CONFIG_KEY_RESUME_MAP,
    CONFIG_KEY_STREAM_MESSAGES_V2,
    # other constants
@@ -51,11 +51,9 @@ from langgraph._internal._config import (
 )
 from langgraph._internal._constants import (
    CONF,
-    CONFIG_KEY_NODE_ERROR,
    CONFIG_KEY_RUNTIME,
 )
 from langgraph._internal._typing import MISSING
-from langgraph.errors import NodeError
 from langgraph.types import StreamWriter

 try:
@@ -119,19 +117,6 @@ def set_config_context(
        ctx.run(_unset_config_context, config_token, run)


-def create_task_in_config_context(
-    coro_factory: Callable[[], Coroutine[Any, Any, Any]], config: RunnableConfig
-) -> asyncio.Task[Any]:
-    """Create an asyncio.Task that inherits `config` as the child runnable context.
-
-    `asyncio.create_task` snapshots the current contextvars onto the new task,
-    so calling `create_task` while the config context is set ensures the task
-    sees `config` via `var_child_runnable_config` and any tracing parent.
-    """
-    with set_config_context(config) as context:
-        return context.run(lambda: asyncio.create_task(coro_factory()))
-
-
 # Before Python 3.11 native StrEnum is not available
 class StrEnum(str, enum.Enum):
    """A string enum."""
@@ -196,15 +181,6 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
        "N/A",
        inspect.Parameter.empty,
    ),
-    (
-        "error",
-        (NodeError, "NodeError"),
-        # we never hit this block, we read directly from configurable
-        "N/A",
-        # default to None so non-handler nodes that happen to type a parameter
-        # `error: NodeError` don't blow up; handlers always receive a NodeError.
-        None,
-    ),
 )
 """List of kwargs that can be passed to functions, and their corresponding
 config keys, default values and type annotations.
@@ -378,8 +354,6 @@ class RunnableCallable(Runnable):
            kw_value: Any = MISSING
            if kw == "config":
                kw_value = config
-            elif kw == "error":
-                kw_value = config.get(CONF, {}).get(CONFIG_KEY_NODE_ERROR, MISSING)
            elif runtime:
                if kw == "runtime":
                    kw_value = runtime
@@ -452,8 +426,6 @@ class RunnableCallable(Runnable):
            kw_value: Any = MISSING
            if kw == "config":
                kw_value = config
-            elif kw == "error":
-                kw_value = config.get(CONF, {}).get(CONFIG_KEY_NODE_ERROR, MISSING)
            elif runtime:
                if kw == "runtime":
                    kw_value = runtime
@@ -1,25 +0,0 @@
-from __future__ import annotations
-
-from datetime import timedelta
-from typing import Literal
-
-from langgraph.types import TimeoutPolicy
-
-_SYNC_TIMEOUT_PREFIX = (
-    "Node timeouts are only supported for async nodes because sync Python "
-    "execution cannot be safely cancelled in-process."
-)
-
-
-def coerce_timeout_policy(
-    value: float | timedelta | TimeoutPolicy | None,
-) -> TimeoutPolicy | None:
-    """Normalize a timeout value to positive-second policy fields."""
-    return TimeoutPolicy.coerce(value)
-
-
-def sync_timeout_unsupported(
-    name: str, *, kind: Literal["Node", "Task"] = "Node"
-) -> ValueError:
-    """Build the canonical error for using `timeout` with a sync target."""
-    return ValueError(f"{_SYNC_TIMEOUT_PREFIX} {kind} {name!r} is sync.")
@@ -245,6 +245,15 @@ class _GraphCallbackManager(BaseCallbackManager):
            run_id=run_id,
        )

+    def add_handler(
+        self,
+        handler: BaseCallbackHandler,
+        inherit: bool = True,  # noqa: FBT001,FBT002
+    ) -> None:
+        if not isinstance(handler, GraphCallbackHandler):
+            raise TypeError("handlers must inherit GraphCallbackHandler")
+        super().add_handler(handler, inherit=inherit)
+
    def copy(
        self,
        *,
@@ -312,6 +321,15 @@ class _AsyncGraphCallbackManager(BaseCallbackManager):
            run_id=run_id,
        )

+    def add_handler(
+        self,
+        handler: BaseCallbackHandler,
+        inherit: bool = True,  # noqa: FBT001,FBT002
+    ) -> None:
+        if not isinstance(handler, GraphCallbackHandler):
+            raise TypeError("handlers must inherit GraphCallbackHandler")
+        super().add_handler(handler, inherit=inherit)
+
    def copy(
        self,
        *,
@@ -1,7 +1,6 @@
 from langgraph.channels.any_value import AnyValue
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue, LastValueAfterFinish
 from langgraph.channels.named_barrier_value import (
@@ -21,7 +20,6 @@ __all__ = (
    "UntrackedValue",
    "EphemeralValue",
    "BinaryOperatorAggregate",
-    "DeltaChannel",
    "NamedBarrierValue",
    "NamedBarrierValueAfterFinish",
    # topics
@@ -22,9 +22,10 @@ __all__ = ("BinaryOperatorAggregate",)
 def _strip_extras(t):  # type: ignore[no-untyped-def]
    """Strips Annotated, Required and NotRequired from a given type."""
    if hasattr(t, "__origin__"):
-        if t.__origin__ in (Required, NotRequired):
-            return _strip_extras(t.__args__[0])
        return _strip_extras(t.__origin__)
+    if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired):
+        return _strip_extras(t.__args__[0])
+
    return t


@@ -32,22 +33,11 @@ def _get_overwrite(value: Any) -> tuple[bool, Any]:
    """Inspects the given value and returns (is_overwrite, overwrite_value)."""
    if isinstance(value, Overwrite):
        return True, value.value
-    if isinstance(value, dict) and len(value) == 1 and OVERWRITE in value:
+    if isinstance(value, dict) and set(value.keys()) == {OVERWRITE}:
        return True, value[OVERWRITE]
    return False, None


-def _operators_equal(a: Callable, b: Callable) -> bool:
-    """Return True if two reducer operators should be considered equal.
-
-    Lambdas all share the name '<lambda>' so identity comparison is
-    unreliable; treat any pairing that includes a lambda as equal.
-    """
-    if a.__name__ == "<lambda>" or b.__name__ == "<lambda>":
-        return True
-    return a is b
-
-
 class BinaryOperatorAggregate(Generic[Value], BaseChannel[Value, Value, Value]):
    """Stores the result of applying a binary operator to the current value and each new value.

@@ -78,8 +68,11 @@ class BinaryOperatorAggregate(Generic[Value], BaseChannel[Value, Value, Value]):
            self.value = MISSING

    def __eq__(self, value: object) -> bool:
-        return isinstance(value, BinaryOperatorAggregate) and _operators_equal(
-            self.operator, value.operator
+        return isinstance(value, BinaryOperatorAggregate) and (
+            value.operator is self.operator
+            if value.operator.__name__ != "<lambda>"
+            and self.operator.__name__ != "<lambda>"
+            else True
        )

    @property
@@ -1,192 +0,0 @@
-from __future__ import annotations
-
-import collections.abc
-import copy as _copy
-from collections.abc import Callable, Sequence
-from typing import Any, Generic
-
-from langgraph.checkpoint.base import PendingWrite
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
-from typing_extensions import Self
-
-from langgraph._internal._typing import MISSING
-from langgraph.channels.base import BaseChannel, Value
-from langgraph.channels.binop import _get_overwrite, _operators_equal, _strip_extras
-from langgraph.errors import (
-    EmptyChannelError,
-    ErrorCode,
-    InvalidUpdateError,
-    create_error_message,
-)
-
-__all__ = ("DeltaChannel",)
-
-
-class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
-    """Reducer channel that stores only a sentinel in checkpoint blobs and
-    reconstructs state by replaying ancestor writes through the reducer.
-
-    The reducer receives the current accumulated value and a batch of writes
-    in one call: `reducer(state, [write1, write2, ...]) -> new_state`.
-
-    Reducers must be deterministic and batching-invariant (associative across
-    folds): applying two consecutive write batches separately must produce the
-    same state as applying their concatenation once:
-
-        reducer(reducer(state, xs), ys) == reducer(state, xs + ys)
-
-    This lets LangGraph replay checkpointed writes in larger batches than they
-    were originally produced without changing reconstructed state.
-
-    Snapshot cadence is driven by per-channel update count. `create_checkpoint`
-    writes a full `_DeltaSnapshot` blob every `snapshot_frequency` updates to
-    this channel, bounding replay depth.
-
-    Parameters:
-        reducer: `(state, list[writes]) -> new_state`. Must be deterministic
-            and batching-invariant as described above.
-        typ: The value type (e.g. `list`, `dict`). Inferred automatically
-            from the outer type when used inside `Annotated[T, DeltaChannel(...)]`.
-        snapshot_frequency: Every Nth update to this channel writes a snapshot
-            blob (default `1000`). Must be a positive int.
-    """
-
-    __slots__ = ("value", "reducer", "snapshot_frequency")
-    value: Value | Any
-
-    def __init__(
-        self,
-        reducer: Callable[[Any, Sequence[Any]], Any],
-        typ: type[Value] | None = None,
-        *,
-        snapshot_frequency: int = 1000,
-    ) -> None:
-        if snapshot_frequency <= 0:
-            raise ValueError(
-                f"snapshot_frequency must be a positive int, got {snapshot_frequency}"
-            )
-        if typ is None:
-            typ = list  # type: ignore[assignment]  # placeholder; overridden by _is_field_channel
-        super().__init__(typ)
-        self.reducer = reducer
-        self.snapshot_frequency = snapshot_frequency
-        typ = _strip_extras(typ)
-        if typ in (collections.abc.Sequence, collections.abc.MutableSequence):
-            typ = list
-        if typ in (collections.abc.Set, collections.abc.MutableSet):
-            typ = set
-        if typ in (collections.abc.Mapping, collections.abc.MutableMapping):
-            typ = dict
-        self.typ = typ
-        self.value: Any = MISSING
-
-    def __eq__(self, other: object) -> bool:
-        if not isinstance(other, DeltaChannel):
-            return False
-        if self.snapshot_frequency != other.snapshot_frequency:
-            return False
-        return _operators_equal(self.reducer, other.reducer)
-
-    @property
-    def ValueType(self) -> Any:
-        return self.typ
-
-    @property
-    def UpdateType(self) -> Any:
-        return self.typ
-
-    def copy(self) -> Self:
-        new = self.__class__(
-            self.reducer, self.typ, snapshot_frequency=self.snapshot_frequency
-        )
-        new.key = self.key
-        new.value = self.value if self.value is MISSING else _copy.copy(self.value)
-        return new
-
-    def from_checkpoint(self, checkpoint: Any) -> Self:
-        """Initialize from a stored blob.
-
-        Blob types:
-          * `MISSING`: start empty; caller replays writes.
-          * `_DeltaSnapshot(value)`: restore value directly from snapshot.
-          * plain value (migration from old `BinaryOperatorAggregate` blobs):
-            use directly.
-        """
-        new = self.__class__(
-            self.reducer, self.typ, snapshot_frequency=self.snapshot_frequency
-        )
-        new.key = self.key
-        if checkpoint is MISSING:
-            new.value = self.typ()
-        elif isinstance(checkpoint, _DeltaSnapshot):
-            new.value = checkpoint.value
-        else:
-            new.value = checkpoint
-        return new
-
-    def replay_writes(self, writes: Sequence[PendingWrite]) -> None:
-        """Apply ancestor writes oldest-to-newest via a single reducer call.
-
-        If any write is an Overwrite, the last one in the sequence acts as
-        the reset point: its value becomes the new base and only writes
-        after it are passed to the reducer.
-        """
-        values = [v for _, _, v in writes]
-        if not values:
-            return
-        base = self.value
-        start = 0
-        for i, v in enumerate(values):
-            is_ow, ow_value = _get_overwrite(v)
-            if is_ow:
-                base = _copy.copy(ow_value) if ow_value is not None else self.typ()
-                start = i + 1
-        remaining = values[start:]
-        self.value = self.reducer(base, remaining) if remaining else base
-
-    def update(self, values: Sequence[Any]) -> bool:
-        if not values:
-            return False
-        overwrite_idx: int | None = None
-        for i, v in enumerate(values):
-            is_ow, _ = _get_overwrite(v)
-            if is_ow:
-                if overwrite_idx is not None:
-                    msg = create_error_message(
-                        message="Can receive only one Overwrite value per super-step.",
-                        error_code=ErrorCode.INVALID_CONCURRENT_GRAPH_UPDATE,
-                    )
-                    raise InvalidUpdateError(msg)
-                overwrite_idx = i
-        if overwrite_idx is not None:
-            _, overwrite_value = _get_overwrite(values[overwrite_idx])
-            base = (
-                _copy.copy(overwrite_value)
-                if overwrite_value is not None
-                else self.typ()
-            )
-            remaining = [v for i, v in enumerate(values) if i != overwrite_idx]
-            self.value = self.reducer(base, remaining) if remaining else base
-            return True
-        base = self.typ() if self.value is MISSING else self.value
-        self.value = self.reducer(base, list(values))
-        return True
-
-    def get(self) -> Any:
-        if self.value is MISSING:
-            raise EmptyChannelError()
-        return self.value
-
-    def is_available(self) -> bool:
-        return self.value is not MISSING
-
-    def checkpoint(self) -> Any:
-        """Return stored representation: always `MISSING`.
-
-        Snapshot decisions live in `create_checkpoint` (which has the channel
-        version) and write `_DeltaSnapshot(ch.get())` directly into
-        `channel_values`. For non-snapshot steps the channel does not appear
-        in `channel_values`; reconstruction walks ancestor writes via the
-        saver's `get_delta_channel_history`.
-        """
-        return MISSING
@@ -1,9 +1,8 @@
 from __future__ import annotations

 from collections.abc import Sequence
-from dataclasses import dataclass
 from enum import Enum
-from typing import Any, Literal
+from typing import Any
 from warnings import warn

 # EmptyChannelError is re-exported from langgraph.channels.base
@@ -16,14 +15,11 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10
 __all__ = (
    "EmptyChannelError",
    "ErrorCode",
-    "GraphDrained",
    "GraphRecursionError",
    "InvalidUpdateError",
    "GraphBubbleUp",
    "GraphInterrupt",
-    "NodeError",
    "NodeInterrupt",
-    "NodeTimeoutError",
    "ParentCommand",
    "EmptyInputError",
    "TaskNotFound",
@@ -46,23 +42,6 @@ def create_error_message(*, message: str, error_code: ErrorCode) -> str:
    )


-class GraphBubbleUp(Exception):
-    pass
-
-
-class GraphDrained(GraphBubbleUp):
-    """Raised when a graph run exits early due to a drain request.
-
-    This indicates the graph stopped cooperatively at a superstep boundary
-    because `RunControl.request_drain()` was called (e.g., in response to
-    SIGTERM). The checkpoint is saved and the run can be resumed later.
-    """
-
-    def __init__(self, reason: str = "shutdown") -> None:
-        self.reason = reason
-        super().__init__(f"Graph drained: {reason}")
-
-
 class GraphRecursionError(RecursionError):
    """Raised when the graph has exhausted the maximum number of steps.

@@ -98,6 +77,10 @@ class InvalidUpdateError(Exception):
    pass


+class GraphBubbleUp(Exception):
+    pass
+
+
 class GraphInterrupt(GraphBubbleUp):
    """Raised when a subgraph is interrupted, suppressed by the root graph.
    Never raised directly, or surfaced to the user."""
@@ -142,77 +125,3 @@ class TaskNotFound(Exception):
    """Raised when the executor is unable to find a task (for distributed mode)."""

    pass
-
-
-@dataclass(frozen=True, slots=True)
-class NodeError:
-    """Failure context passed to a node-level error handler.
-
-    Inject by adding a parameter typed `NodeError` to a handler registered via
-    `StateGraph.add_node(..., error_handler=...)`:
-
-    ```python
-    def handler(state: State, error: NodeError) -> Command:
-        return Command(update={"status": f"recovered from {error.node}: {error.error}"})
-    ```
-    """
-
-    node: str
-    """Name of the node whose execution failed."""
-
-    error: BaseException
-    """Exception raised by the failed node."""
-
-
-class NodeTimeoutError(Exception):
-    """Raised when a node invocation exceeds one of its configured timeouts.
-
-    Does **not** inherit from the built-in `TimeoutError` (a subclass of
-    `OSError`) so that the default `RetryPolicy` treats it as retryable.
-
-    Both `idle_timeout` and `run_timeout` reflect the configured policy at the
-    time of the failure (each is `None` if not configured). `kind` and
-    `timeout` identify which one fired.
-    """
-
-    node: str
-    timeout: float
-    run_timeout: float | None
-    idle_timeout: float | None
-    elapsed: float
-    kind: Literal["idle", "run"]
-
-    def __init__(
-        self,
-        node: str,
-        elapsed: float,
-        *,
-        kind: Literal["idle", "run"],
-        idle_timeout: float | None = None,
-        run_timeout: float | None = None,
-    ) -> None:
-        if kind == "idle":
-            if idle_timeout is None:
-                raise ValueError("idle_timeout is required when kind='idle'")
-            message = (
-                f"Node '{node}' exceeded its idle timeout of "
-                f"{idle_timeout:.3f}s without making progress "
-                f"(elapsed: {elapsed:.3f}s)."
-            )
-            self.timeout = idle_timeout
-        elif kind == "run":
-            if run_timeout is None:
-                raise ValueError("run_timeout is required when kind='run'")
-            message = (
-                f"Node '{node}' exceeded its run timeout of "
-                f"{run_timeout:.3f}s (elapsed: {elapsed:.3f}s)."
-            )
-            self.timeout = run_timeout
-        else:
-            raise ValueError("kind must be 'idle' or 'run'")
-        super().__init__(message)
-        self.node = node
-        self.elapsed = elapsed
-        self.kind = kind
-        self.idle_timeout = idle_timeout
-        self.run_timeout = run_timeout
@@ -5,7 +5,6 @@ import inspect
 import warnings
 from collections.abc import Awaitable, Callable, Sequence
 from dataclasses import dataclass
-from datetime import timedelta
 from typing import (
    Any,
    Generic,
@@ -23,11 +22,6 @@ from typing_extensions import Unpack

 from langgraph._internal import _serde
 from langgraph._internal._constants import CACHE_NS_WRITES, PREVIOUS
-from langgraph._internal._runnable import is_async_callable
-from langgraph._internal._timeout import (
-    coerce_timeout_policy,
-    sync_timeout_unsupported,
-)
 from langgraph._internal._typing import MISSING, DeprecatedKwargs
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue
@@ -37,19 +31,13 @@ from langgraph.pregel._call import (
    P,
    SyncAsyncFuture,
    T,
-    _call_with_options,
+    call,
    get_runnable_for_entrypoint,
    identifier,
 )
 from langgraph.pregel._read import PregelNode
 from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
-from langgraph.types import (
-    _DC_KWARGS,
-    CachePolicy,
-    RetryPolicy,
-    StreamMode,
-    TimeoutPolicy,
-)
+from langgraph.types import _DC_KWARGS, CachePolicy, RetryPolicy, StreamMode
 from langgraph.typing import ContextT
 from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10

@@ -63,7 +51,6 @@ class _TaskFunction(Generic[P, T]):
        *,
        retry_policy: Sequence[RetryPolicy],
        cache_policy: CachePolicy[Callable[P, str | bytes]] | None = None,
-        timeout: TimeoutPolicy | None = None,
        name: str | None = None,
    ) -> None:
        if name is not None:
@@ -80,17 +67,15 @@ class _TaskFunction(Generic[P, T]):
        self.func = func
        self.retry_policy = retry_policy
        self.cache_policy = cache_policy
-        self.timeout = timeout
        functools.update_wrapper(self, func)

    def __call__(self, *args: P.args, **kwargs: P.kwargs) -> SyncAsyncFuture[T]:
-        return _call_with_options(
+        return call(
            self.func,
-            args,
-            kwargs,
            retry_policy=self.retry_policy,
            cache_policy=self.cache_policy,
-            timeout=self.timeout,
+            *args,
+            **kwargs,
        )

    def clear_cache(self, cache: BaseCache) -> None:
@@ -113,7 +98,6 @@ def task(
    name: str | None = None,
    retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
    cache_policy: CachePolicy[Callable[P, str | bytes]] | None = None,
-    timeout: float | timedelta | TimeoutPolicy | None = None,
    **kwargs: Unpack[DeprecatedKwargs],
 ) -> Callable[
    [Callable[P, Awaitable[T]] | Callable[P, T]],
@@ -135,7 +119,6 @@ def task(
    name: str | None = None,
    retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
    cache_policy: CachePolicy[Callable[P, str | bytes]] | None = None,
-    timeout: float | timedelta | TimeoutPolicy | None = None,
    **kwargs: Unpack[DeprecatedKwargs],
 ) -> (
    Callable[[Callable[P, Awaitable[T]] | Callable[P, T]], _TaskFunction[P, T]]
@@ -159,14 +142,6 @@ def task(
        name: An optional name for the task. If not provided, the function name will be used.
        retry_policy: An optional retry policy (or list of policies) to use for the task in case of a failure.
        cache_policy: An optional cache policy to use for the task. This allows caching of the task results.
-        timeout: Timeout for each task attempt. A number or `timedelta` is a hard
-            wall-clock cap and is not refreshed. Use `TimeoutPolicy` to configure
-            both a wall-clock `run_timeout` and an `idle_timeout` refreshed by
-            progress signals. For long-running work that doesn't naturally emit
-            progress, call `runtime.heartbeat()` from inside the task. When the
-            timeout fires, `NodeTimeoutError` is raised and the retry policy (if
-            any) decides whether to retry. Supported only for async tasks; sync
-            tasks cannot be safely cancelled in-process.

    Returns:
        A callable function when used as a decorator.
@@ -221,7 +196,6 @@ def task(
        )
        if retry_policy is None:
            retry_policy = retry  # type: ignore[assignment]
-    timeout_policy = coerce_timeout_policy(timeout)

    retry_policies: Sequence[RetryPolicy] = (
        ()
@@ -234,15 +208,8 @@ def task(
    def decorator(
        func: Callable[P, Awaitable[T]] | Callable[P, T],
    ) -> Callable[P, SyncAsyncFuture[T]]:
-        if timeout_policy is not None and not is_async_callable(func):
-            name_ = name or getattr(func, "__name__", func.__class__.__name__)
-            raise sync_timeout_unsupported(str(name_), kind="Task")
        return _TaskFunction(
-            func,
-            retry_policy=retry_policies,
-            cache_policy=cache_policy,
-            timeout=timeout_policy,
-            name=name,
+            func, retry_policy=retry_policies, cache_policy=cache_policy, name=name
        )

    if __func_or_none__ is not None:
@@ -301,15 +268,6 @@ class entrypoint(Generic[ContextT]):
            passed to the workflow.
        cache_policy: A cache policy to use for caching the results of the workflow.
        retry_policy: A retry policy (or list of policies) to use for the workflow in case of a failure.
-        timeout: Timeout for each workflow attempt. A number or `timedelta` is a
-            hard wall-clock cap and is not refreshed. Use `TimeoutPolicy` to
-            configure both a wall-clock `run_timeout` and an `idle_timeout`
-            refreshed by progress signals. For long-running work that doesn't
-            naturally emit progress, call `runtime.heartbeat()` from inside the
-            workflow. When the timeout fires, `NodeTimeoutError` is raised and
-            the retry policy (if any) decides whether to retry. Supported only
-            for async workflows; sync workflows cannot be safely cancelled
-            in-process.

    !!! warning "`config_schema` Deprecated"
        The `config_schema` parameter is deprecated in v0.6.0 and support will be removed in v2.0.0.
@@ -442,7 +400,6 @@ class entrypoint(Generic[ContextT]):
        context_schema: type[ContextT] | None = None,
        cache_policy: CachePolicy | None = None,
        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
        **kwargs: Unpack[DeprecatedKwargs],
    ) -> None:
        """Initialize the entrypoint decorator."""
@@ -469,7 +426,6 @@ class entrypoint(Generic[ContextT]):
        self.cache = cache
        self.cache_policy = cache_policy
        self.retry_policy = retry_policy
-        self.timeout = coerce_timeout_policy(timeout)
        self.context_schema = context_schema

    @dataclass(**_DC_KWARGS)
@@ -579,7 +535,6 @@ class entrypoint(Generic[ContextT]):
                    bound=bound,
                    triggers=[START],
                    channels=START,
-                    timeout=self.timeout,
                    writers=[
                        ChannelWrite(
                            [
@@ -9,7 +9,7 @@ from langgraph.store.base import BaseStore

 from langgraph._internal._typing import EMPTY_SEQ
 from langgraph.runtime import Runtime
-from langgraph.types import CachePolicy, RetryPolicy, StreamWriter, TimeoutPolicy
+from langgraph.types import CachePolicy, RetryPolicy, StreamWriter
 from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra


@@ -88,8 +88,5 @@ class StateNodeSpec(Generic[NodeInputT, ContextT]):
    input_schema: type[NodeInputT]
    retry_policy: RetryPolicy | Sequence[RetryPolicy] | None
    cache_policy: CachePolicy | None
-    is_error_handler: bool = False
-    error_handler_node: str | None = None
    ends: tuple[str, ...] | dict[str, str] | None = EMPTY_SEQ
    defer: bool = False
-    timeout: TimeoutPolicy | None = None
@@ -244,71 +244,6 @@ def add_messages(
    return merged


-def _messages_delta_reducer(
-    state: list[AnyMessage], writes: list[list[AnyMessage]]
-) -> list[AnyMessage]:
-    """**Experimental.** Batch reducer for use with `DeltaChannel`.
-
-    Processes all writes in one pass — dedup by ID, `RemoveMessage`
-    tombstoning — without calling `add_messages`.
-
-    This reducer is batching-invariant, as required by `DeltaChannel`:
-    `reducer(reducer(state, xs), ys) == reducer(state, xs + ys)`.
-
-    Raw dict / string / tuple inputs are coerced to typed `BaseMessage`
-    objects so that HTTP-driven graphs work without a separate coercion
-    step. This is not full `add_messages` parity — `REMOVE_ALL_MESSAGES`,
-    unknown-id `RemoveMessage` errors, missing-id UUID assignment, and
-    `BaseMessageChunk` conversion are not handled here.
-
-    Example::
-
-        from typing import Annotated
-        from langgraph.channels.delta import DeltaChannel
-        from langgraph.graph.message import _messages_delta_reducer
-
-        class State(TypedDict):
-            messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-    """
-
-    # Each write is either a list of message-likes or a single message-like
-    # (BaseMessage / dict / str / tuple). Only lists flatten; everything
-    # else is one message.
-    flat: list[Any] = []
-    for w in writes:
-        if isinstance(w, list):
-            flat.extend(w)
-        else:
-            flat.append(w)
-    # Steady state: the reducer's own output is already typed, so skip
-    # `convert_to_messages` on state when the first element is a BaseMessage.
-    # Only raw input (initial dicts, deserialized blobs) hits the slow path.
-    if state and isinstance(state[0], BaseMessage):
-        state_msgs = state
-    else:
-        state_msgs = cast("list[AnyMessage]", convert_to_messages(state))
-    msgs = cast("list[AnyMessage]", convert_to_messages(flat))
-
-    index: dict[str, int] = {
-        m.id: i for i, m in enumerate(state_msgs) if m.id is not None
-    }
-    result: list[AnyMessage | None] = list(state_msgs)
-    for msg in msgs:
-        mid = msg.id
-        if mid is None:
-            result.append(msg)
-        elif isinstance(msg, RemoveMessage):
-            if mid in index:
-                result[index[mid]] = None
-                del index[mid]
-        elif mid in index:
-            result[index[mid]] = msg
-        else:
-            index[mid] = len(result)
-            result.append(msg)
-    return [m for m in result if m is not None]
-
-
@deprecated(
    "MessageGraph is deprecated in langgraph 1.0.0, to be removed in 2.0.0. Please use StateGraph with a `messages` key instead.",
    category=None,
@@ -7,7 +7,6 @@ import warnings
 from collections import defaultdict
 from collections.abc import Awaitable, Callable, Hashable, Sequence
 from dataclasses import is_dataclass
-from datetime import timedelta
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
 from types import FunctionType
@@ -46,11 +45,9 @@ from langgraph._internal._fields import (
 )
 from langgraph._internal._pydantic import create_model
 from langgraph._internal._runnable import coerce_to_runnable
-from langgraph._internal._timeout import coerce_timeout_policy
 from langgraph._internal._typing import EMPTY_SEQ, MISSING, DeprecatedKwargs
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue, LastValueAfterFinish
 from langgraph.channels.named_barrier_value import (
@@ -84,7 +81,6 @@ from langgraph.types import (
    Command,
    RetryPolicy,
    Send,
-    TimeoutPolicy,
    ensure_valid_checkpointer,
 )
 from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
@@ -303,9 +299,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        input_schema: None = None,
        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
        cache_policy: CachePolicy | None = None,
-        error_handler: StateNode[Any, ContextT] | None = None,
        destinations: dict[str, str] | tuple[str, ...] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
        **kwargs: Unpack[DeprecatedKwargs],
    ) -> Self:
        """Add a new node to the `StateGraph`, input schema is inferred as the state schema.
@@ -372,9 +366,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        input_schema: type[NodeInputT],
        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
        cache_policy: CachePolicy | None = None,
-        error_handler: StateNode[Any, ContextT] | None = None,
        destinations: dict[str, str] | tuple[str, ...] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
        **kwargs: Unpack[DeprecatedKwargs],
    ) -> Self:
        """Add a new node to the `StateGraph` where input schema is specified.
@@ -446,9 +438,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        input_schema: None = None,
        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
        cache_policy: CachePolicy | None = None,
-        error_handler: StateNode[Any, ContextT] | None = None,
        destinations: dict[str, str] | tuple[str, ...] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
        **kwargs: Unpack[DeprecatedKwargs],
    ) -> Self:
        """Add a new node to the `StateGraph`, input schema is inferred as the state schema.
@@ -515,9 +505,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        input_schema: type[NodeInputT],
        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
        cache_policy: CachePolicy | None = None,
-        error_handler: StateNode[Any, ContextT] | None = None,
        destinations: dict[str, str] | tuple[str, ...] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
        **kwargs: Unpack[DeprecatedKwargs],
    ) -> Self:
        """Add a new node to the `StateGraph`, input schema is specified.
@@ -591,9 +579,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        input_schema: type[NodeInputT] | None = None,
        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
        cache_policy: CachePolicy | None = None,
-        error_handler: StateNode[Any, ContextT] | None = None,
        destinations: dict[str, str] | tuple[str, ...] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
        **kwargs: Unpack[DeprecatedKwargs],
    ) -> Self:
        """Add a new node to the `StateGraph`.
@@ -612,7 +598,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):

                If a sequence is provided, the first matching policy will be applied.
            cache_policy: The cache policy for the node.
-            error_handler: Optional node-level error handler callable for this node.
            destinations: Destinations that indicate where a node can route to.

                Useful for edgeless graphs with nodes that return `Command` objects.
@@ -624,14 +609,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                !!! warning

                    This is only used for graph rendering and doesn't have any effect on the graph execution.
-            timeout: Timeout for each node attempt. A number or `timedelta` is
-                a hard wall-clock cap and is not refreshed. Use `TimeoutPolicy`
-                to configure both a wall-clock `run_timeout` and an
-                `idle_timeout` refreshed by progress signals. When exceeded, a
-                [`NodeTimeoutError`][langgraph.errors.NodeTimeoutError] is raised
-                and the retry policy (if any) decides whether to retry. Timeouts
-                are supported only for async nodes; sync nodes cannot be safely
-                cancelled in-process.

        Example:
            ```python
@@ -685,7 +662,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
            )
            if input_schema is None:
                input_schema = cast(type[NodeInputT] | None, input_)
-        timeout = coerce_timeout_policy(timeout)

        if not isinstance(node, str):
            action = node
@@ -772,25 +748,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        if destinations is not None:
            ends = destinations

-        resolved_input_schema: type[Any] = (
-            input_schema or inferred_input_schema or self.state_schema
-        )
-        handler_node_name: str | None = None
-        if error_handler is not None:
-            handler_node_name = f"__error_handler__{node}"
-            if handler_node_name in self.nodes:
-                raise ValueError(
-                    f"Auto-generated error handler node `{handler_node_name}` already exists."
-                )
-            self.nodes[handler_node_name] = StateNodeSpec[Any, ContextT](
-                coerce_to_runnable(error_handler, name=handler_node_name, trace=False),  # type: ignore[arg-type]
-                metadata=None,
-                input_schema=resolved_input_schema,
-                retry_policy=None,
-                cache_policy=None,
-                is_error_handler=True,
-            )
-
        if input_schema is not None:
            self.nodes[node] = StateNodeSpec[NodeInputT, ContextT](
                coerce_to_runnable(action, name=node, trace=False),  # type: ignore[arg-type]
@@ -798,10 +755,8 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                input_schema=input_schema,
                retry_policy=retry_policy,
                cache_policy=cache_policy,
-                error_handler_node=handler_node_name,
                ends=ends,
                defer=defer,
-                timeout=timeout,
            )
        elif inferred_input_schema is not None:
            self.nodes[node] = StateNodeSpec(
@@ -810,10 +765,8 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                input_schema=inferred_input_schema,
                retry_policy=retry_policy,
                cache_policy=cache_policy,
-                error_handler_node=handler_node_name,
                ends=ends,
                defer=defer,
-                timeout=timeout,
            )
        else:
            self.nodes[node] = StateNodeSpec[StateT, ContextT](
@@ -822,10 +775,8 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                input_schema=self.state_schema,
                retry_policy=retry_policy,
                cache_policy=cache_policy,
-                error_handler_node=handler_node_name,
                ends=ends,
                defer=defer,
-                timeout=timeout,
            )

        input_schema = input_schema or inferred_input_schema
@@ -1080,6 +1031,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
            for node in interrupt:
                if node not in self.nodes:
                    raise ValueError(f"Interrupt node `{node}` not found")
+
        self.compiled = True
        return self

@@ -1093,7 +1045,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        interrupt_after: All | list[str] | None = None,
        debug: bool = False,
        name: str | None = None,
-        transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
+        transformers: Sequence[Callable[[], Any]] | None = None,
    ) -> CompiledStateGraph[StateT, ContextT, InputT, OutputT]:
        """Compiles the `StateGraph` into a `CompiledStateGraph` object.

@@ -1126,19 +1078,16 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
            interrupt_after: An optional list of node names to interrupt after.
            debug: A flag indicating whether to enable debug mode.
            name: The name to use for the compiled graph.
-            transformers: Optional sequence of `StreamTransformer` classes or
-                configured factories. Classes and factories are instantiated
-                per run whenever `stream_events(version="v3")` / `astream_events(version="v3")` is called and are
-                propagated to subgraph scopes. Custom factories should follow
-                the standard `StreamTransformer` constructor shape by
-                accepting `scope` as their first argument. Appended after the
-                built-in stream transformers.
+            transformers: Optional sequence of zero-arg factories returning
+                `StreamTransformer` instances. Registered on the compiled
+                graph and instantiated per-run whenever `stream_v2` /
+                `astream_v2` is called. Appended after the built-in
+                `ValuesTransformer` and `MessagesTransformer`.

        Returns:
            CompiledStateGraph: The compiled `StateGraph`.
        """
        checkpointer = ensure_valid_checkpointer(checkpointer)
-
        serde_allowlist: set[tuple[str, ...]] | None = None
        if _serde.STRICT_MSGPACK_ENABLED:
            schema_types: list[type[Any]] = [
@@ -1193,11 +1142,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                key for key, val in self.channels.items() if not is_managed_value(val)
            ]
        )
-        node_error_handler_map = {
-            node_name: spec.error_handler_node
-            for node_name, spec in self.nodes.items()
-            if spec.error_handler_node is not None
-        }

        compiled = CompiledStateGraph[StateT, ContextT, InputT, OutputT](
            builder=self,
@@ -1220,7 +1164,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
            debug=debug,
            store=store,
            cache=cache,
-            node_error_handler_map=node_error_handler_map,
            name=name or "LangGraph",
            stream_transformers=transformers,
        )
@@ -1395,10 +1338,7 @@ class CompiledStateGraph(
                metadata=node.metadata,
                retry_policy=node.retry_policy,
                cache_policy=node.cache_policy,
-                is_error_handler=node.is_error_handler,
-                error_handler_node=node.error_handler_node,
                bound=node.runnable,  # type: ignore[arg-type]
-                timeout=node.timeout,
            )
        else:
            raise RuntimeError
@@ -1734,20 +1674,6 @@ def _is_field_channel(typ: type[Any]) -> BaseChannel | None:
        # Search through all annotated medata to find channel annotations
        for item in meta:
            if isinstance(item, BaseChannel):
-                if isinstance(item, DeltaChannel) and hasattr(typ, "__origin__"):
-                    origin = typ.__origin__
-                    # Unwrap parameterized Required[X]/NotRequired[X] to X
-                    # (e.g. Annotated[NotRequired[dict[...]], ...]).
-                    if hasattr(origin, "__origin__") and origin.__origin__ in (
-                        Required,
-                        NotRequired,
-                    ):
-                        origin = origin.__args__[0]
-                    item = item.__class__(
-                        item.reducer,
-                        origin,
-                        snapshot_frequency=item.snapshot_frequency,
-                    )
                return item
            elif isclass(item) and issubclass(item, BaseChannel):
                # ex, Annotated[int, EphemeralValue, SomeOtherAnnotation]
@@ -39,7 +39,6 @@ from langgraph._internal._constants import (
    CONFIG_KEY_CHECKPOINT_MAP,
    CONFIG_KEY_CHECKPOINT_NS,
    CONFIG_KEY_CHECKPOINTER,
-    CONFIG_KEY_NODE_ERROR,
    CONFIG_KEY_READ,
    CONFIG_KEY_RESUME_MAP,
    CONFIG_KEY_RUNTIME,
@@ -48,7 +47,6 @@ from langgraph._internal._constants import (
    CONFIG_KEY_TASK_ID,
    CONFIG_KEY_THREAD_ID,
    ERROR,
-    ERROR_SOURCE_NODE,
    INTERRUPT,
    NO_WRITES,
    NS_END,
@@ -68,7 +66,6 @@ from langgraph.channels.base import BaseChannel
 from langgraph.channels.topic import Topic
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.constants import TAG_HIDDEN
-from langgraph.errors import NodeError
 from langgraph.managed.base import ManagedValueMapping
 from langgraph.pregel._call import get_runnable_for_task, identifier
 from langgraph.pregel._io import read_channels
@@ -83,7 +80,6 @@ from langgraph.types import (
    PregelTask,
    RetryPolicy,
    Send,
-    TimeoutPolicy,
 )

 GetNextVersion = Callable[[V | None, None], V]
@@ -118,21 +114,13 @@ class PregelTaskWrites(NamedTuple):


 class Call:
-    __slots__ = (
-        "func",
-        "input",
-        "retry_policy",
-        "cache_policy",
-        "callbacks",
-        "timeout",
-    )
+    __slots__ = ("func", "input", "retry_policy", "cache_policy", "callbacks")

    func: Callable
    input: tuple[tuple[Any, ...], dict[str, Any]]
    retry_policy: Sequence[RetryPolicy] | None
    cache_policy: CachePolicy | None
    callbacks: Callbacks
-    timeout: TimeoutPolicy | None

    def __init__(
        self,
@@ -142,14 +130,12 @@ class Call:
        retry_policy: Sequence[RetryPolicy] | None,
        cache_policy: CachePolicy | None,
        callbacks: Callbacks,
-        timeout: TimeoutPolicy | None = None,
    ) -> None:
        self.func = func
        self.input = input
        self.retry_policy = retry_policy
        self.cache_policy = cache_policy
        self.callbacks = callbacks
-        self.timeout = timeout


 def should_interrupt(
@@ -295,15 +281,7 @@ def apply_writes(
    pending_writes_by_channel: dict[str, list[Any]] = defaultdict(list)
    for task in tasks:
        for chan, val in task.writes:
-            if chan in (
-                NO_WRITES,
-                PUSH,
-                RESUME,
-                INTERRUPT,
-                RETURN,
-                ERROR,
-                ERROR_SOURCE_NODE,
-            ):
+            if chan in (NO_WRITES, PUSH, RESUME, INTERRUPT, RETURN, ERROR):
                pass
            elif chan in channels:
                pending_writes_by_channel[chan].append(val)
@@ -755,48 +733,11 @@ def prepare_single_task(
                        task_path[:3],
                        writers=proc.flat_writers,
                        subgraphs=proc.subgraphs,
-                        timeout=proc.timeout,
                    )
            else:
                return PregelTask(task_id, name, task_path[:3])


-def _coerce_pending_error(value: Any) -> BaseException:
-    if isinstance(value, BaseException):
-        return value
-    return Exception(str(value))
-
-
-def _read_errors_from_pending_writes(
-    pending_writes: list[PendingWrite],
-) -> list[BaseException]:
-    errors: list[BaseException] = []
-    for _, channel, value in pending_writes:
-        if channel == ERROR:
-            errors.append(_coerce_pending_error(value))
-    return errors
-
-
-def _read_error_for_task_id_from_pending_writes(
-    pending_writes: list[PendingWrite], task_id: str
-) -> BaseException | None:
-    for pending_task_id, channel, value in reversed(pending_writes):
-        if pending_task_id == task_id and channel == ERROR:
-            return _coerce_pending_error(value)
-    return None
-
-
-def _read_error_source_node_from_pending_writes(
-    pending_writes: list[PendingWrite], task_id: str
-) -> str | None:
-    for pending_task_id, channel, value in reversed(pending_writes):
-        if pending_task_id == task_id and channel == ERROR_SOURCE_NODE:
-            if isinstance(value, str):
-                return value
-            return str(value)
-    return None
-
-
 def prepare_push_task_functional(
    task_path: tuple[str, tuple, int, str, Call],
    # (PUSH, parent task path, idx of PUSH write, id of parent task, Call)
@@ -929,7 +870,6 @@ def prepare_push_task_functional(
            cache_key,
            task_id,
            in_progress_task_path,
-            timeout=call.timeout,
        )
    else:
        return PregelTask(task_id, name, in_progress_task_path)
@@ -1101,153 +1041,11 @@ def prepare_push_task_send(
            translated_task_path,
            writers=proc.flat_writers,
            subgraphs=proc.subgraphs,
-            timeout=packet.timeout if packet.timeout is not None else proc.timeout,
        )
    else:
        return PregelTask(task_id, packet.node, translated_task_path)


-def prepare_node_error_handler_task(
-    failed_task: PregelExecutableTask,
-    *,
-    handler_node_name: str,
-    failed_error: BaseException,
-    checkpoint: Checkpoint,
-    pending_writes: list[PendingWrite],
-    processes: Mapping[str, PregelNode],
-    channels: Mapping[str, BaseChannel],
-    managed: ManagedValueMapping,
-    config: RunnableConfig,
-    step: int,
-    stop: int,
-    store: BaseStore | None = None,
-    checkpointer: BaseCheckpointSaver | None = None,
-    manager: None | ParentRunManager | AsyncParentRunManager = None,
-    cache_policy: CachePolicy | None = None,
-    retry_policy: Sequence[RetryPolicy] = (),
-) -> PregelExecutableTask | None:
-    """Prepare an immediate node-level error handler task for a failed task."""
-    if handler_node_name not in processes:
-        return None
-    proc = processes[handler_node_name]
-    proc_node = proc.node
-    if proc_node is None:
-        return None
-
-    checkpoint_id_bytes = binascii.unhexlify(checkpoint["id"].replace("-", ""))
-    task_id_func = _xxhash_str if checkpoint["v"] > 1 else _uuid5_str
-    configurable = config.get(CONF, {})
-    parent_ns = configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
-    checkpoint_ns = (
-        f"{parent_ns}{NS_SEP}{handler_node_name}" if parent_ns else handler_node_name
-    )
-    task_id = task_id_func(
-        checkpoint_id_bytes,
-        checkpoint_ns,
-        str(step),
-        handler_node_name,
-        PUSH,
-        "node_error_handler",
-        failed_task.id,
-    )
-    task_checkpoint_ns = f"{checkpoint_ns}:{task_id}"
-    translated_task_path = (*failed_task.path[:3], "node_error_handler", False)
-    metadata = {
-        "langgraph_step": step,
-        "langgraph_node": handler_node_name,
-        "langgraph_triggers": PUSH_TRIGGER,
-        "langgraph_path": translated_task_path,
-        "langgraph_checkpoint_ns": task_checkpoint_ns,
-    }
-    if proc.metadata:
-        metadata.update(proc.metadata)
-    writes: deque[tuple[str, Any]] = deque()
-
-    effective_retry_policy = proc.retry_policy or retry_policy
-    effective_cache_policy = proc.cache_policy or cache_policy
-    if effective_cache_policy:
-        args_key = effective_cache_policy.key_func(failed_task.input)
-        cache_key = CacheKey(
-            (
-                CACHE_NS_WRITES,
-                (identifier(proc) or "__dynamic__"),
-                handler_node_name,
-            ),
-            xxh3_128_hexdigest(
-                args_key.encode() if isinstance(args_key, str) else args_key
-            ),
-            effective_cache_policy.ttl,
-        )
-    else:
-        cache_key = None
-
-    scratchpad = _scratchpad(
-        config[CONF].get(CONFIG_KEY_SCRATCHPAD),
-        pending_writes,
-        task_id,
-        xxh3_128_hexdigest(task_checkpoint_ns.encode()),
-        config[CONF].get(CONFIG_KEY_RESUME_MAP),
-        step,
-        stop,
-    )
-    runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
-    runtime = runtime.override(
-        store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None)
-    )
-    additional_config: RunnableConfig = {
-        "metadata": metadata,
-        "tags": proc.tags,
-    }
-    return PregelExecutableTask(
-        handler_node_name,
-        failed_task.input,
-        proc_node,
-        writes,
-        patch_config(
-            merge_configs(config, additional_config),
-            run_name=handler_node_name,
-            callbacks=manager.get_child(f"graph:step:{step}") if manager else None,
-            configurable={
-                CONFIG_KEY_TASK_ID: task_id,
-                CONFIG_KEY_SEND: writes.extend,
-                CONFIG_KEY_READ: partial(
-                    local_read,
-                    scratchpad,
-                    channels,
-                    managed,
-                    PregelTaskWrites(
-                        translated_task_path,
-                        handler_node_name,
-                        writes,
-                        PUSH_TRIGGER,
-                    ),
-                ),
-                CONFIG_KEY_CHECKPOINTER: (
-                    checkpointer or configurable.get(CONFIG_KEY_CHECKPOINTER)
-                ),
-                CONFIG_KEY_CHECKPOINT_MAP: {
-                    **configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {}),
-                    parent_ns: checkpoint["id"],
-                },
-                CONFIG_KEY_CHECKPOINT_ID: None,
-                CONFIG_KEY_CHECKPOINT_NS: task_checkpoint_ns,
-                CONFIG_KEY_SCRATCHPAD: scratchpad,
-                CONFIG_KEY_RUNTIME: runtime,
-                CONFIG_KEY_NODE_ERROR: NodeError(
-                    node=failed_task.name, error=failed_error
-                ),
-            },
-        ),
-        PUSH_TRIGGER,
-        effective_retry_policy,
-        cache_key,
-        task_id,
-        translated_task_path,
-        writers=proc.flat_writers,
-        subgraphs=proc.subgraphs,
-    )
-
-
 def checkpoint_null_version(
    checkpoint: Checkpoint,
 ) -> V | None:
@@ -1457,4 +1255,4 @@ def sanitize_untracked_values_in_send(
        for k, v in packet.arg.items()
        if not isinstance(channels.get(k), UntrackedValue)
    }
-    return Send(node=packet.node, arg=sanitized_arg, timeout=packet.timeout)
+    return Send(node=packet.node, arg=sanitized_arg)
@@ -8,7 +8,6 @@ import inspect
 import sys
 import types
 from collections.abc import Awaitable, Callable, Generator, Sequence
-from datetime import timedelta
 from typing import Any, Generic, TypeVar, cast

 from langchain_core.runnables import Runnable
@@ -21,13 +20,9 @@ from langgraph._internal._runnable import (
    is_async_callable,
    run_in_executor,
 )
-from langgraph._internal._timeout import (
-    coerce_timeout_policy,
-    sync_timeout_unsupported,
-)
 from langgraph.config import get_config
 from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
-from langgraph.types import CachePolicy, RetryPolicy, TimeoutPolicy
+from langgraph.types import CachePolicy, RetryPolicy

 ##
 # Utilities borrowed from cloudpickle.
@@ -260,31 +255,8 @@ def call(
    *args: Any,
    retry_policy: Sequence[RetryPolicy] | None = None,
    cache_policy: CachePolicy | None = None,
-    timeout: float | timedelta | TimeoutPolicy | None = None,
    **kwargs: Any,
 ) -> SyncAsyncFuture[T]:
-    return _call_with_options(
-        func,
-        args,
-        kwargs,
-        retry_policy=retry_policy,
-        cache_policy=cache_policy,
-        timeout=coerce_timeout_policy(timeout),
-    )
-
-
-def _call_with_options(
-    func: Callable[P, Awaitable[T]] | Callable[P, T],
-    args: tuple[Any, ...],
-    kwargs: dict[str, Any],
-    *,
-    retry_policy: Sequence[RetryPolicy] | None = None,
-    cache_policy: CachePolicy | None = None,
-    timeout: TimeoutPolicy | None = None,
-) -> SyncAsyncFuture[T]:
-    if timeout is not None and not is_async_callable(func):
-        name = getattr(func, "__name__", func.__class__.__name__)
-        raise sync_timeout_unsupported(name, kind="Task")
    config = get_config()
    impl = config[CONF][CONFIG_KEY_CALL]
    fut = impl(
@@ -293,6 +265,5 @@ def _call_with_options(
        retry_policy=retry_policy,
        cache_policy=cache_policy,
        callbacks=config["callbacks"],
-        timeout=timeout,
    )
    return fut
@@ -1,27 +1,17 @@
 from __future__ import annotations

-from collections.abc import Callable, Mapping
+from collections.abc import Mapping
 from datetime import datetime, timezone
-from typing import Any, cast

-from langchain_core.runnables import RunnableConfig
-from langgraph.checkpoint.base import (
-    BaseCheckpointSaver,
-    Checkpoint,
-    CheckpointMetadata,
-)
+from langgraph.checkpoint.base import Checkpoint
 from langgraph.checkpoint.base.id import uuid6
-from langgraph.checkpoint.serde.types import _DeltaSnapshot

 from langgraph._internal._typing import MISSING
 from langgraph.channels.base import BaseChannel
-from langgraph.channels.delta import DeltaChannel
 from langgraph.managed.base import ManagedValueMapping, ManagedValueSpec

 LATEST_VERSION = 4

-GetNextVersion = Callable[[Any, None], Any]
-

 def empty_checkpoint() -> Checkpoint:
    return Checkpoint(
@@ -34,30 +24,6 @@ def empty_checkpoint() -> Checkpoint:
    )


-def _should_snapshot_delta(
-    name: str,
-    ch: DeltaChannel,
-    updates_since_snapshot: Mapping[str, int],
-    *,
-    force: bool,
-) -> bool:
-    """Decide whether `ch` should write a `_DeltaSnapshot` this step.
-
-    Triggers:
-      * `force` — always snapshot (used by `durability="exit"`).
-      * Update-count: this channel has accumulated at least
-        `snapshot_frequency` updates since its last snapshot. The count
-        is supplied by the caller via `updates_since_snapshot[name]` and
-        is reset to `0` whenever a snapshot fires.
-
-    Version-format-independent: works for `int`, `float`, and `str`
-    versioning schemes alike.
-    """
-    if force:
-        return True
-    return updates_since_snapshot.get(name, 0) >= ch.snapshot_frequency
-
-
 def create_checkpoint(
    checkpoint: Checkpoint,
    channels: Mapping[str, BaseChannel] | None,
@@ -65,108 +31,35 @@ def create_checkpoint(
    *,
    id: str | None = None,
    updated_channels: set[str] | None = None,
-    get_next_version: GetNextVersion | None = None,
-    force_delta_snapshot: bool = False,
-    updates_since_snapshot: Mapping[str, int] | None = None,
-    new_updates_since_snapshot: dict[str, int] | None = None,
 ) -> Checkpoint:
-    """Create a checkpoint for the given channels.
-
-    For each `DeltaChannel`, a `_DeltaSnapshot(value)` blob is written into
-    `channel_values[k]` when this channel has accumulated at least
-    `snapshot_frequency` updates since its last snapshot (counter supplied
-    via `updates_since_snapshot`). Otherwise the channel is omitted from
-    `channel_values`; its `channel_versions` entry still bumps so that the
-    saver tracks the channel and the ancestor walk can replay writes.
-
-    Snapshots are eager: even if the channel had no write this step, a
-    version bump is forced (via `get_next_version`) so `put()` includes
-    the channel in `new_versions` and stores the blob.
-
-    `force_delta_snapshot` ignores the cadence and always snapshots —
-    used by `durability="exit"` where intermediate writes are not stored
-    as ancestor `checkpoint_writes`.
-
-    If `new_updates_since_snapshot` is provided, the function resets the
-    counter to `0` for any channel that snapshotted this step. Counters
-    for channels that did not snapshot are left untouched (the caller is
-    responsible for incrementing them based on `updated_channels`).
-    """
+    """Create a checkpoint for the given channels."""
    ts = datetime.now(timezone.utc).isoformat()
-    counts = updates_since_snapshot or {}
    if channels is None:
        values = checkpoint["channel_values"]
-        channel_versions = checkpoint["channel_versions"]
    else:
        values = {}
-        channel_versions = dict(checkpoint["channel_versions"])
        for k in channels:
-            if k not in channel_versions:
+            if k not in checkpoint["channel_versions"]:
                continue
-            ch = channels[k]
-            if (
-                isinstance(ch, DeltaChannel)
-                and ch.is_available()
-                and _should_snapshot_delta(
-                    k,
-                    ch,
-                    counts,
-                    force=force_delta_snapshot,
-                )
-            ):
-                # Eager snapshot: bump version if not already written this step
-                # so put() includes this channel in new_versions and stores blob.
-                if get_next_version is not None and (
-                    updated_channels is None or k not in updated_channels
-                ):
-                    channel_versions[k] = get_next_version(channel_versions[k], None)
-                values[k] = _DeltaSnapshot(ch.get())
-                if new_updates_since_snapshot is not None:
-                    new_updates_since_snapshot[k] = 0
-            else:
-                v = ch.checkpoint()
-                if v is not MISSING:
-                    values[k] = v
+            v = channels[k].checkpoint()
+            if v is not MISSING:
+                values[k] = v
    return Checkpoint(
        v=LATEST_VERSION,
        ts=ts,
        id=id or str(uuid6(clock_seq=step)),
        channel_values=values,
-        channel_versions=channel_versions,
+        channel_versions=checkpoint["channel_versions"],
        versions_seen=checkpoint["versions_seen"],
        updated_channels=None if updated_channels is None else sorted(updated_channels),
    )


-def _needs_replay(spec: BaseChannel, stored: object) -> bool:
-    """True if `spec` is a `DeltaChannel` and no value is stored at this
-    checkpoint, requiring an ancestor walk to reconstruct.
-
-    `_DeltaSnapshot` blobs and plain values (migration) resolve directly via
-    `from_checkpoint` — only absence (`MISSING`) triggers replay.
-    """
-    if not isinstance(spec, DeltaChannel):
-        return False
-    return stored is MISSING
-
-
 def channels_from_checkpoint(
    specs: Mapping[str, BaseChannel | ManagedValueSpec],
    checkpoint: Checkpoint,
-    *,
-    saver: BaseCheckpointSaver | None = None,
-    config: RunnableConfig | None = None,
 ) -> tuple[Mapping[str, BaseChannel], ManagedValueMapping]:
-    """Hydrate channels from a checkpoint.
-
-    For most channels, `spec.from_checkpoint(checkpoint["channel_values"][k])`
-    is sufficient. `DeltaChannel` is the exception: when the channel is
-    absent from `channel_values`, an ancestor walk via
-    `saver.get_delta_channel_history` is required to find the nearest seed
-    (`_DeltaSnapshot` blob or pre-migration plain value) and accumulate
-    the writes between it and the target. All delta channels needing
-    replay are batched into a single saver call.
-    """
+    """Get channels from a checkpoint."""
    channel_specs: dict[str, BaseChannel] = {}
    managed_specs: dict[str, ManagedValueSpec] = {}
    for k, v in specs.items():
@@ -174,73 +67,13 @@ def channels_from_checkpoint(
            channel_specs[k] = v
        else:
            managed_specs[k] = v
-
-    delta_channels: list[str] = [
-        k
-        for k, spec in channel_specs.items()
-        if _needs_replay(spec, checkpoint["channel_values"].get(k, MISSING))
-    ]
-    histories: Mapping[str, Any] = {}
-    if delta_channels and saver is not None and config is not None:
-        histories = saver.get_delta_channel_history(
-            config=config, channels=delta_channels
-        )
-
-    channels: dict[str, BaseChannel] = {}
-    for k, spec in channel_specs.items():
-        ch: BaseChannel
-        if k in histories:
-            delta_spec = cast(DeltaChannel, spec)
-            history = histories[k]
-            replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
-            replay_ch.replay_writes(history["writes"])
-            ch = replay_ch
-        else:
-            ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
-        channels[k] = ch
-    return channels, managed_specs
-
-
-async def achannels_from_checkpoint(
-    specs: Mapping[str, BaseChannel | ManagedValueSpec],
-    checkpoint: Checkpoint,
-    *,
-    saver: BaseCheckpointSaver | None = None,
-    config: RunnableConfig | None = None,
-) -> tuple[Mapping[str, BaseChannel], ManagedValueMapping]:
-    """Async version of `channels_from_checkpoint`. See docstring there."""
-    channel_specs: dict[str, BaseChannel] = {}
-    managed_specs: dict[str, ManagedValueSpec] = {}
-    for k, v in specs.items():
-        if isinstance(v, BaseChannel):
-            channel_specs[k] = v
-        else:
-            managed_specs[k] = v
-
-    delta_channels: list[str] = [
-        k
-        for k, spec in channel_specs.items()
-        if _needs_replay(spec, checkpoint["channel_values"].get(k, MISSING))
-    ]
-    histories: Mapping[str, Any] = {}
-    if delta_channels and saver is not None and config is not None:
-        histories = await saver.aget_delta_channel_history(
-            config=config, channels=delta_channels
-        )
-
-    channels: dict[str, BaseChannel] = {}
-    for k, spec in channel_specs.items():
-        ch: BaseChannel
-        if k in histories:
-            delta_spec = cast(DeltaChannel, spec)
-            history = histories[k]
-            replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
-            replay_ch.replay_writes(history["writes"])
-            ch = replay_ch
-        else:
-            ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
-        channels[k] = ch
-    return channels, managed_specs
+    return (
+        {
+            k: v.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
+            for k, v in channel_specs.items()
+        },
+        managed_specs,
+    )


 def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
@@ -253,17 +86,3 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
        versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
        updated_channels=checkpoint.get("updated_channels", None),
    )
-
-
-def read_delta_updates_since_snapshot(
-    metadata: CheckpointMetadata | None,
-) -> dict[str, int]:
-    """Read the per-channel update counter from checkpoint metadata.
-
-    Returns an empty dict for missing/None metadata; the dict is
-    `total=False` on `CheckpointMetadata`, so absence means "no prior
-    delta-channel activity tracked."
-    """
-    if not metadata:
-        return {}
-    return dict(metadata.get("delta_updates_since_snapshot", {}) or {})
@@ -45,13 +45,11 @@ from langgraph._internal._constants import (
    CONFIG_KEY_REPLAY_STATE,
    CONFIG_KEY_RESUME_MAP,
    CONFIG_KEY_RESUMING,
-    CONFIG_KEY_RUNTIME,
    CONFIG_KEY_SCRATCHPAD,
    CONFIG_KEY_STREAM,
    CONFIG_KEY_TASK_ID,
    CONFIG_KEY_THREAD_ID,
    ERROR,
-    ERROR_SOURCE_NODE,
    INPUT,
    INTERRUPT,
    NS_END,
@@ -70,7 +68,6 @@ from langgraph.callbacks import (
    GraphResumeEvent,
 )
 from langgraph.channels.base import BaseChannel
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.constants import TAG_HIDDEN
 from langgraph.errors import (
@@ -89,14 +86,12 @@ from langgraph.pregel._algo import (
    checkpoint_null_version,
    increment,
    prepare_next_tasks,
-    prepare_node_error_handler_task,
    prepare_single_task,
    sanitize_untracked_values_in_send,
    should_interrupt,
    task_path_str,
 )
 from langgraph.pregel._checkpoint import (
-    achannels_from_checkpoint,
    channels_from_checkpoint,
    copy_checkpoint,
    create_checkpoint,
@@ -122,7 +117,6 @@ from langgraph.pregel.debug import (
    map_debug_tasks,
 )
 from langgraph.pregel.protocol import StreamChunk, StreamProtocol
-from langgraph.runtime import RunControl, Runtime
 from langgraph.types import (
    All,
    CachePolicy,
@@ -194,8 +188,6 @@ class PregelLoop:
    _migrate_checkpoint: Callable[[Checkpoint], None] | None
    submit: Submit
    channels: Mapping[str, BaseChannel]
-    # Only set on AsyncPregelLoop; sync loops keep this as None.
-    _delta_write_futs: list[Any] | None = None
    managed: ManagedValueMapping
    checkpoint: Checkpoint
    checkpoint_id_saved: str
@@ -210,12 +202,10 @@ class PregelLoop:
        "input",
        "pending",
        "done",
-        "draining",
        "interrupt_before",
        "interrupt_after",
        "out_of_steps",
    ]
-    control: RunControl | None
    tasks: dict[str, PregelExecutableTask]
    output: None | dict[str, Any] | Any = None
    updated_channels: set[str] | None = None
@@ -323,8 +313,6 @@ class PregelLoop:
            else ()
        )
        self.prev_checkpoint_config = None
-        runtime = self.config[CONF].get(CONFIG_KEY_RUNTIME)
-        self.control = runtime.control if isinstance(runtime, Runtime) else None

    def _push_graph_lifecycle_event(
        self,
@@ -332,16 +320,11 @@ class PregelLoop:
        *,
        interrupts: tuple[Interrupt, ...] = (),
    ) -> None:
-        # drain status never reaches lifecycle events: tick() returns False
-        # before pushing, and interrupts are raised through GraphInterrupt
-        if self.status == "draining":
-            raise RuntimeError("Draining status cannot emit lifecycle events")
-        status = self.status
        if kind == "resume":
            self._graph_lifecycle_events.append(
                GraphResumeEvent(
                    run_id=None,
-                    status=status,
+                    status=self.status,
                    checkpoint_id=self.checkpoint["id"],
                    checkpoint_ns=self.checkpoint_ns,
                )
@@ -350,7 +333,7 @@ class PregelLoop:
            self._graph_lifecycle_events.append(
                GraphInterruptEvent(
                    run_id=None,
-                    status=status,
+                    status=self.status,
                    checkpoint_id=self.checkpoint["id"],
                    checkpoint_ns=self.checkpoint_ns,
                    interrupts=interrupts,
@@ -423,7 +406,7 @@ class PregelLoop:
                    task = self.tasks.get(task_id)
                else:
                    task = None
-                fut = self.submit(
+                self.submit(
                    self.checkpointer_put_writes,
                    config,
                    writes_to_save,
@@ -431,16 +414,12 @@ class PregelLoop:
                    task_path_str(task.path) if task else "",
                )
            else:
-                fut = self.submit(
+                self.submit(
                    self.checkpointer_put_writes,
                    config,
                    writes_to_save,
                    task_id,
                )
-            if self._delta_write_futs is not None and any(
-                isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
-            ):
-                self._delta_write_futs.append(fut)
        # output writes
        if hasattr(self, "tasks"):
            self.output_writes(task_id, writes)
@@ -524,16 +503,6 @@ class PregelLoop:
            # return the new task, to be started if not run before
            return pushed

-    def schedule_error_handler(
-        self, failed_task: PregelExecutableTask, error: BaseException
-    ) -> PregelExecutableTask | None:
-        raise NotImplementedError
-
-    async def aschedule_error_handler(
-        self, failed_task: PregelExecutableTask, error: BaseException
-    ) -> PregelExecutableTask | None:
-        raise NotImplementedError
-
    def tick(self) -> bool:
        """Execute a single iteration of the Pregel loop.

@@ -592,10 +561,6 @@ class PregelLoop:
            self.status = "done"
            return False

-        if self.control is not None and self.control.drain_requested:
-            self.status = "draining"
-            return False
-
        # if there are pending writes from a previous loop, apply them
        if not self.is_replaying and self.checkpoint_pending_writes:
            self._match_writes(self.tasks)
@@ -662,7 +627,7 @@ class PregelLoop:

    def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
        for tid, k, v in self.checkpoint_pending_writes:
-            if k in (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME):
+            if k in (ERROR, INTERRUPT, RESUME):
                continue
            if task := tasks.get(tid):
                task.writes.append((k, v))
@@ -727,7 +692,7 @@ class PregelLoop:
        # writes so that interrupt() calls re-fire instead of returning
        # stale values. But if we're actively resuming, keep them —
        # multi-interrupt scenarios need previously resolved values preserved.
-        is_time_traveling = self.is_replaying and (
+        if self.is_replaying and (
            # Time-travel to a subgraph checkpoint: the parent sets
            # RESUMING=True (it can't distinguish time-travel from resume),
            # so we check if this subgraph's own ns is in checkpoint_map.
@@ -745,8 +710,7 @@ class PregelLoop:
                # (subgraph input is a Send arg, not a Command)
                or configurable.get(CONFIG_KEY_RESUMING, False)
            )
-        )
-        if is_time_traveling:
+        ):
            self.checkpoint_pending_writes = [
                w for w in self.checkpoint_pending_writes if w[1] != RESUME
            ]
@@ -801,26 +765,6 @@ class PregelLoop:
                if k in self.checkpoint["channel_versions"]:
                    version = self.checkpoint["channel_versions"][k]
                    self.checkpoint["versions_seen"][INTERRUPT][k] = version
-            # When time-traveling (replaying from a specific checkpoint),
-            # save a fork checkpoint so the replayed execution creates a
-            # new branch. Without this, if the execution hits an interrupt
-            # before after_tick() runs, no new checkpoint is created —
-            # the parent's latest checkpoint remains the old one and
-            # subsequent resumes load the wrong state.
-            # Skip for update_state forks (source=update/fork) since they
-            # already have their own fork checkpoint.
-            if is_time_traveling and self.checkpoint_metadata.get("source") not in (
-                "update",
-                "fork",
-            ):
-                # Clear old INTERRUPT writes from the loaded checkpoint.
-                # The fork will have a new checkpoint_id which changes
-                # task IDs — stale interrupt writes would accumulate and
-                # confuse the multiple-interrupt check in future resumes.
-                self.checkpoint_pending_writes = [
-                    w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
-                ]
-                self._put_checkpoint({"source": "fork"})
            # produce values output
            self._emit(
                "values", map_output_values, self.output_keys, True, self.channels
@@ -863,28 +807,14 @@ class PregelLoop:
        if not self.is_nested:
            # Pass the resolved before-bound checkpoint ID so subgraphs can
            # find their corresponding checkpoint without re-fetching the
-            # parent. For forks (source=update/fork), use the fork's parent
+            # parent. For forks (source=update), use the fork's parent
            # checkpoint ID since the fork was created after the subgraph's
            # checkpoints from the original execution.
-            #
-            # Only gate on is_time_traveling (not is_replaying). When the
-            # client resumes with an explicit checkpoint_id that happens to
-            # point at the current head (e.g. LangGraph Studio sending
-            # `checkpoint: {checkpoint_id}` alongside Command(resume=...)),
-            # is_replaying is True but is_time_traveling is False. In that
-            # case subgraphs should load their latest checkpoint normally,
-            # not go through ReplayState's before-bound lookup which would
-            # miss subgraph checkpoints created during processing of the
-            # current parent step.
            replay_state: ReplayState | None = None
-            if is_time_traveling:
+            if self.is_replaying:
                replay_checkpoint_id = self.checkpoint["id"]
                if (
-                    self.checkpoint_metadata.get("source")
-                    in (
-                        "update",
-                        "fork",
-                    )
+                    self.checkpoint_metadata.get("source") == "update"
                    and self.prev_checkpoint_config
                ):
                    replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
@@ -910,22 +840,6 @@ class PregelLoop:
        if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
            # checkpoint already saved
            return
-        # Carry per-delta-channel update bookkeeping forward across
-        # supersteps. Capture from the OLD metadata before potentially
-        # replacing it with a fresh dict that wouldn't contain it. Then
-        # increment for any delta channel updated this step (so the count
-        # reflects "supersteps that wrote to this channel since last
-        # snapshot"). create_checkpoint will reset entries to 0 for any
-        # channel that fires a snapshot this step.
-        prev_counts = dict(
-            self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
-        )
-        new_counts = dict(prev_counts)
-        if self.updated_channels:
-            for ch_name in self.updated_channels:
-                ch_obj = self.channels.get(ch_name)
-                if isinstance(ch_obj, DeltaChannel):
-                    new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
        if not exiting:
            metadata["step"] = self.step
            metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
@@ -941,17 +855,7 @@ class PregelLoop:
            self.step,
            id=self.checkpoint["id"] if exiting else None,
            updated_channels=self.updated_channels,
-            get_next_version=self.checkpointer_get_next_version
-            if do_checkpoint
-            else None,
-            force_delta_snapshot=exiting and self.durability == "exit",
-            updates_since_snapshot=new_counts,
-            new_updates_since_snapshot=new_counts,
        )
-        if new_counts:
-            self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
-        elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
-            del self.checkpoint_metadata["delta_updates_since_snapshot"]
        # sanitize TASK channel in the checkpoint before saving (durability=="exit")
        if TASKS in self.checkpoint["channel_values"] and any(
            isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -1261,45 +1165,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
                self.output_writes(task.id, task.writes, cached=True)
        return pushed

-    def schedule_error_handler(
-        self, failed_task: PregelExecutableTask, error: BaseException
-    ) -> PregelExecutableTask | None:
-        handler_node = self.nodes[failed_task.name].error_handler_node
-        if not handler_node:
-            return None
-        writes = list(failed_task.writes)
-        writes.append((ERROR_SOURCE_NODE, failed_task.name))
-        self.put_writes(
-            failed_task.id,
-            writes,
-        )
-        handler_task = prepare_node_error_handler_task(
-            failed_task,
-            handler_node_name=handler_node,
-            failed_error=error,
-            checkpoint=self.checkpoint,
-            pending_writes=self.checkpoint_pending_writes,
-            processes=self.nodes,
-            channels=self.channels,
-            managed=self.managed,
-            config=failed_task.config,
-            step=self.step,
-            stop=self.stop,
-            store=self.store,
-            checkpointer=self.checkpointer,
-            manager=self.manager,
-            retry_policy=self.retry_policy,
-            cache_policy=self.cache_policy,
-        )
-        if handler_task is None:
-            return None
-        self.tasks[handler_task.id] = handler_task
-        if not self.is_replaying:
-            self._match_writes({handler_task.id: handler_task})
-        for task in self.match_cached_writes():
-            self.output_writes(task.id, task.writes, cached=True)
-        return handler_task
-
    def put_writes(self, task_id: str, writes: WritesT) -> None:
        """Put writes for a task, to be read by the next tick."""
        super().put_writes(task_id, writes)
@@ -1373,10 +1238,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
        )
        self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
        self.channels, self.managed = channels_from_checkpoint(
-            self.specs,
-            self.checkpoint,
-            saver=self.checkpointer,
-            config=self.checkpoint_config,
+            self.specs, self.checkpoint
        )
        self.stack.push(self._suppress_interrupt)
        self.status = "input"
@@ -1471,11 +1333,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
        metadata: CheckpointMetadata,
        new_versions: ChannelVersions,
    ) -> RunnableConfig:
-        # Drain DeltaChannel write futures before committing the checkpoint so
-        # ancestor walks never see a checkpoint without its backing writes.
-        if self._delta_write_futs:
-            futs, self._delta_write_futs = self._delta_write_futs, []
-            await asyncio.gather(*futs)
        try:
            if prev is not None:
                await prev
@@ -1507,45 +1364,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
                self.output_writes(task.id, task.writes, cached=True)
        return pushed

-    async def aschedule_error_handler(
-        self, failed_task: PregelExecutableTask, error: BaseException
-    ) -> PregelExecutableTask | None:
-        handler_node = self.nodes[failed_task.name].error_handler_node
-        if not handler_node:
-            return None
-        writes = list(failed_task.writes)
-        writes.append((ERROR_SOURCE_NODE, failed_task.name))
-        self.put_writes(
-            failed_task.id,
-            writes,
-        )
-        handler_task = prepare_node_error_handler_task(
-            failed_task,
-            handler_node_name=handler_node,
-            failed_error=error,
-            checkpoint=self.checkpoint,
-            pending_writes=self.checkpoint_pending_writes,
-            processes=self.nodes,
-            channels=self.channels,
-            managed=self.managed,
-            config=failed_task.config,
-            step=self.step,
-            stop=self.stop,
-            store=self.store,
-            checkpointer=self.checkpointer,
-            manager=self.manager,
-            retry_policy=self.retry_policy,
-            cache_policy=self.cache_policy,
-        )
-        if handler_task is None:
-            return None
-        self.tasks[handler_task.id] = handler_task
-        if not self.is_replaying:
-            self._match_writes({handler_task.id: handler_task})
-        for task in await self.amatch_cached_writes():
-            self.output_writes(task.id, task.writes, cached=True)
-        return handler_task
-
    def put_writes(self, task_id: str, writes: WritesT) -> None:
        """Put writes for a task, to be read by the next tick."""
        super().put_writes(task_id, writes)
@@ -1620,15 +1438,11 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            if saved.pending_writes is not None
            else []
        )
-        self._delta_write_futs = []
        self.submit = await self.stack.enter_async_context(
            AsyncBackgroundExecutor(self.config)
        )
-        self.channels, self.managed = await achannels_from_checkpoint(
-            self.specs,
-            self.checkpoint,
-            saver=self.checkpointer,
-            config=self.checkpoint_config,
+        self.channels, self.managed = channels_from_checkpoint(
+            self.specs, self.checkpoint
        )
        self.stack.push(self._suppress_interrupt)
        self.status = "input"
@@ -14,7 +14,7 @@ from langchain_core.messages import BaseMessage
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
 from pydantic import BaseModel

-from langgraph._internal._constants import NS_SEP
+from langgraph._internal._constants import NS_END, NS_SEP
 from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
 from langgraph.pregel.protocol import StreamChunk
 from langgraph.types import Command
@@ -137,15 +137,23 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
        **kwargs: Any,
    ) -> Any:
        if metadata and (not tags or (TAG_NOSTREAM not in tags)):
-            ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
-                :-1
-            ]
+            task_checkpoint_ns = cast(str, metadata["langgraph_checkpoint_ns"])
+            checkpoint_ns = (
+                f"{task_checkpoint_ns.rsplit(NS_END, 1)[0]}{NS_END}"
+                if NS_END in task_checkpoint_ns
+                else task_checkpoint_ns
+            )
+            ns = tuple(task_checkpoint_ns.split(NS_SEP))[:-1]
            if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
                return
+            stream_metadata = dict(metadata)
+            stream_metadata["langgraph_checkpoint_ns"] = checkpoint_ns
+            # Preserve backwards-compatible streamed checkpoint metadata shape.
+            stream_metadata["checkpoint_ns"] = checkpoint_ns
            if tags:
                if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
-                    metadata["tags"] = filtered_tags
-            self.metadata[run_id] = (ns, metadata)
+                    stream_metadata["tags"] = filtered_tags
+            self.metadata[run_id] = (ns, stream_metadata)

    def on_llm_new_token(
        self,
@@ -293,53 +301,6 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
        """
        # Intentionally empty: v2 handler does not forward v1 chunks.

-    def __init__(
-        self,
-        stream: Callable[[StreamChunk], None],
-        subgraphs: bool,
-        *,
-        parent_ns: tuple[str, ...] | None = None,
-    ) -> None:
-        super().__init__(stream, subgraphs, parent_ns=parent_ns)
-        self._streamed_run_ids: set[UUID] = set()
-
-    def on_llm_end(
-        self,
-        response: LLMResult,
-        *,
-        run_id: UUID,
-        parent_run_id: UUID | None = None,
-        **kwargs: Any,
-    ) -> Any:
-        if meta := self.metadata.get(run_id):
-            if response.generations and response.generations[0]:
-                gen = response.generations[0][0]
-                if isinstance(gen, ChatGeneration):
-                    if run_id in self._streamed_run_ids:
-                        if gen.message.id is None:
-                            gen.message.id = str(uuid4())
-                        self.seen.add(gen.message.id)
-                    else:
-                        self._emit(meta, gen.message, dedupe=True)
-        self._streamed_run_ids.discard(run_id)
-        self.metadata.pop(run_id, None)
-
-    def on_llm_error(
-        self,
-        error: BaseException,
-        *,
-        run_id: UUID,
-        parent_run_id: UUID | None = None,
-        **kwargs: Any,
-    ) -> Any:
-        self._streamed_run_ids.discard(run_id)
-        super().on_llm_error(
-            error,
-            run_id=run_id,
-            parent_run_id=parent_run_id,
-            **kwargs,
-        )
-
    def on_stream_event(
        self,
        event: dict[str, Any],
@@ -349,7 +310,7 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
        tags: list[str] | None = None,
        **kwargs: Any,
    ) -> Any:
-        """Forward a protocol event from `stream_events(version="v3")` as a messages stream part.
+        """Forward a protocol event from `stream_v2` as a messages stream part.

        Fires once per `MessagesData` event (`message-start`, per-block
        `content-block-*`, `message-finish`). The transformer layer
@@ -370,7 +331,6 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
            # (otherwise the messages projection double-counts: once
            # from streaming, once from the chain output).
            if event.get("event") == "message-start":
-                self._streamed_run_ids.add(run_id)
                msg_id = event.get("message_id")
                if msg_id:
                    self.seen.add(msg_id)
@@ -1,7 +1,6 @@
 from __future__ import annotations

 from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
-from datetime import timedelta
 from functools import cached_property
 from typing import (
    Any,
@@ -12,11 +11,10 @@ from langchain_core.runnables import Runnable, RunnableConfig
 from langgraph._internal._config import merge_configs
 from langgraph._internal._constants import CONF, CONFIG_KEY_READ
 from langgraph._internal._runnable import RunnableCallable, RunnableSeq
-from langgraph._internal._timeout import coerce_timeout_policy
 from langgraph.pregel._utils import find_subgraph_pregel
 from langgraph.pregel._write import ChannelWrite
 from langgraph.pregel.protocol import PregelProtocol
-from langgraph.types import CachePolicy, RetryPolicy, TimeoutPolicy
+from langgraph.types import CachePolicy, RetryPolicy

 READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
 INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
@@ -125,25 +123,12 @@ class PregelNode:
    cache_policy: CachePolicy | None
    """The cache policy to use when invoking the node."""

-    timeout: TimeoutPolicy | None
-    """Timeout policy for a single invocation.
-
-    If exceeded, `NodeTimeoutError` is raised and the retry policy (if any)
-    decides whether to retry. Supported only for async nodes.
-    """
-
    tags: Sequence[str] | None
    """Tags to attach to the node for tracing."""

    metadata: Mapping[str, Any] | None
    """Metadata to attach to the node for tracing."""

-    is_error_handler: bool
-    """Whether this node is registered as an error handler node."""
-
-    error_handler_node: str | None
-    """Optional handler node name for failures from this node."""
-
    subgraphs: Sequence[PregelProtocol]
    """Subgraphs used by the node."""

@@ -159,10 +144,7 @@ class PregelNode:
        bound: Runnable[Any, Any] | None = None,
        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
        cache_policy: CachePolicy | None = None,
-        is_error_handler: bool = False,
-        error_handler_node: str | None = None,
        subgraphs: Sequence[PregelProtocol] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
    ) -> None:
        self.channels = channels
        self.triggers = list(triggers)
@@ -174,11 +156,8 @@ class PregelNode:
            self.retry_policy = (retry_policy,)
        else:
            self.retry_policy = retry_policy
-        self.timeout = coerce_timeout_policy(timeout)
        self.tags = tags
        self.metadata = metadata
-        self.is_error_handler = is_error_handler
-        self.error_handler_node = error_handler_node
        if subgraphs is not None:
            self.subgraphs = subgraphs
        elif self.bound is not DEFAULT_BOUND:
@@ -4,487 +4,32 @@ import asyncio
 import logging
 import random
 import sys
-import threading
 import time
-import weakref
 from collections.abc import Awaitable, Callable, Sequence
-from contextlib import suppress
-from dataclasses import dataclass, replace
-from datetime import datetime, timedelta, timezone
-from typing import Any, Literal, NamedTuple
+from dataclasses import replace
+from typing import Any

-from langchain_core.callbacks import BaseCallbackHandler
 from langchain_core.runnables import RunnableConfig

-from langgraph._internal._config import (
-    merge_configs,
-    patch_configurable,
-    recast_checkpoint_ns,
-)
+from langgraph._internal._config import patch_configurable, recast_checkpoint_ns
 from langgraph._internal._constants import (
    CONF,
-    CONFIG_KEY_CALL,
    CONFIG_KEY_CHECKPOINT_ID,
    CONFIG_KEY_CHECKPOINT_NS,
    CONFIG_KEY_RESUMING,
    CONFIG_KEY_RUNTIME,
-    CONFIG_KEY_SEND,
-    CONFIG_KEY_STREAM,
    CONFIG_KEY_TASK_ID,
    CONFIG_KEY_THREAD_ID,
-    CONFIG_KEY_TIMED_ATTEMPT_OBSERVER,
    NS_SEP,
 )
-from langgraph._internal._runnable import create_task_in_config_context
-from langgraph._internal._timeout import sync_timeout_unsupported
-from langgraph.errors import GraphBubbleUp, NodeTimeoutError, ParentCommand
-from langgraph.pregel.protocol import StreamProtocol
+from langgraph.errors import GraphBubbleUp, ParentCommand
 from langgraph.runtime import ExecutionInfo, Runtime
-from langgraph.types import Command, PregelExecutableTask, RetryPolicy, TimeoutPolicy
+from langgraph.types import Command, PregelExecutableTask, RetryPolicy

 logger = logging.getLogger(__name__)
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)


-def _timeout_secs(value: float | timedelta) -> float:
-    return value.total_seconds() if isinstance(value, timedelta) else value
-
-
-@dataclass(frozen=True, slots=True)
-class _ResolvedTimeout:
-    run_timeout_secs: float | None
-    idle_timeout_secs: float | None
-    refresh_on: Literal["auto", "heartbeat"] | None
-
-
-def _resolve_timeout(timeout: TimeoutPolicy) -> _ResolvedTimeout:
-    idle_timeout_secs = (
-        _timeout_secs(timeout.idle_timeout)
-        if timeout.idle_timeout is not None
-        else None
-    )
-    return _ResolvedTimeout(
-        run_timeout_secs=(
-            _timeout_secs(timeout.run_timeout)
-            if timeout.run_timeout is not None
-            else None
-        ),
-        idle_timeout_secs=idle_timeout_secs,
-        refresh_on=timeout.refresh_on if idle_timeout_secs is not None else None,
-    )
-
-
-class _AttemptContext(NamedTuple):
-    """Immutable per-attempt metadata shared across start/progress/finish events.
-
-    Built once at attempt start and referenced (not copied) by every emitted
-    `_AttemptEvent`, so per-event allocation is just the small event wrapper.
-
-    Intentionally underscore-prefixed: this and `_AttemptEvent` are part of an
-    internal observer contract consumed by langgraph-server. Do not move to
-    `langgraph.types` — server imports them by this path.
-    """
-
-    task_id: str
-    task_name: str
-    attempt: int
-    run_id: str | None
-    thread_id: str | None
-    checkpoint_ns: str | None
-    started_at: datetime
-    run_timeout_secs: float | None
-    idle_timeout_secs: float | None
-    refresh_on: Literal["auto", "heartbeat"] | None
-
-
-@dataclass(frozen=True, slots=True)
-class _AttemptEvent:
-    """One lifecycle event for a timed attempt.
-
-    Holds a reference to the shared `_AttemptContext` and the event-specific
-    fields. The observer must treat this and `context` as read-only — they
-    are reused across all events for the same attempt.
-    """
-
-    context: _AttemptContext
-    event: Literal["start", "progress", "finish"]
-    progress_at: datetime | None = None
-    finished_at: datetime | None = None
-    status: Literal["success", "error"] | None = None
-    error_type: str | None = None
-    error_message: str | None = None
-
-
-class _TimedAttemptScope:
-    """Guarded-config window for timed attempts.
-
-    The wrapped config marks writes, stream events, runtime stream writer calls,
-    child task scheduling, and any LangChain callback event emitted under the
-    node's run as observable progress when `refresh_on="auto"`.
-    `runtime.heartbeat()` exposes a manual progress signal for work that doesn't
-    otherwise emit any of these, and is the only progress signal when
-    `refresh_on="heartbeat"`.
-    Guarded writes are serialized with `close()` so cancelled background tasks
-    cannot persist writes past the timeout boundary. Stream/custom output is
-    best-effort: it is dropped after close is observed, but callbacks run outside
-    the lock because they may contain arbitrary user/runtime code.
-    """
-
-    __slots__ = (
-        "__weakref__",
-        "_active",
-        "_last_progress",
-        "_last_progress_emit",
-        "_lock",
-        "_on_progress",
-        "_progress_min_interval",
-        "_refresh_on",
-    )
-
-    def __init__(
-        self,
-        on_progress: Callable[[], None] | None = None,
-        progress_min_interval: float = 0.0,
-        refresh_on: Literal["auto", "heartbeat"] | None = None,
-    ) -> None:
-        self._active = True
-        self._last_progress = time.monotonic()
-        self._lock = threading.Lock()
-        self._on_progress = on_progress
-        self._progress_min_interval = progress_min_interval
-        self._refresh_on = refresh_on
-        # `-inf` so the first touch always passes the rate-limit gate.
-        self._last_progress_emit: float = float("-inf")
-
-    def wrap_config(self, config: RunnableConfig) -> RunnableConfig:
-        configurable = config.get(CONF, {})
-        patch: dict[str, Any] = {}
-        if (send := configurable.get(CONFIG_KEY_SEND)) is not None:
-            patch[CONFIG_KEY_SEND] = self._guard_send(send)
-        if (stream := configurable.get(CONFIG_KEY_STREAM)) is not None:
-            patch[CONFIG_KEY_STREAM] = self._guard_stream(stream)
-        if (call := configurable.get(CONFIG_KEY_CALL)) is not None:
-            patch[CONFIG_KEY_CALL] = self._guard_call(call)
-        if isinstance(runtime := configurable.get(CONFIG_KEY_RUNTIME), Runtime):
-            if self._refresh_on is not None:
-                patch[CONFIG_KEY_RUNTIME] = runtime.override(
-                    stream_writer=self._guard_stream_writer(runtime.stream_writer),
-                    heartbeat=self.touch,
-                )
-            else:
-                patch[CONFIG_KEY_RUNTIME] = runtime.override(
-                    stream_writer=self._guard_stream_writer(runtime.stream_writer)
-                )
-        new_config = patch_configurable(config, patch) if patch else config
-        if self._refresh_on == "auto":
-            return merge_configs(
-                new_config, {"callbacks": [_IdleProgressCallbackHandler(self)]}
-            )
-        return new_config
-
-    def touch(self) -> None:
-        # Avoid locking this hot progress path. We accept a small race window in
-        # timestamp ordering because idle_timeout is expected to be coarse compared
-        # with scheduler/thread timing.
-        now = time.monotonic()
-        self._last_progress = now
-        if self._on_progress is None:
-            return
-        # Best-effort rate limit: a benign race may emit a duplicate progress
-        # event under heavy concurrency, which observers must already tolerate
-        # (callbacks fire from arbitrary threads).
-        if now - self._last_progress_emit < self._progress_min_interval:
-            return
-        self._last_progress_emit = now
-        self._on_progress()
-
-    def close(self) -> None:
-        with self._lock:
-            self._active = False
-
-    async def wait_for_idle_timeout(self, idle_timeout_s: float) -> None:
-        while True:
-            with self._lock:
-                if not self._active:
-                    return
-                remaining = self._last_progress + idle_timeout_s - time.monotonic()
-            if remaining <= 0:
-                raise asyncio.TimeoutError
-            await asyncio.sleep(remaining)
-
-    def _guard_send(
-        self, send: Callable[[Sequence[tuple[str, Any]]], None]
-    ) -> Callable[[Sequence[tuple[str, Any]]], None]:
-        def guarded_send(writes: Sequence[tuple[str, Any]]) -> None:
-            with self._lock:
-                if self._active:
-                    if writes and self._refresh_on == "auto":
-                        self._last_progress = time.monotonic()
-                    send(writes)
-
-        return guarded_send
-
-    def _guard_stream(self, stream: StreamProtocol) -> StreamProtocol:
-        # No lock: stream callbacks fire from the event loop only, so the
-        # active-check + write happen atomically between awaits.
-        def guarded_stream(chunk: tuple[tuple[str, ...], str, Any]) -> None:
-            if not self._active:
-                return
-            if self._refresh_on == "auto":
-                self._last_progress = time.monotonic()
-            stream(chunk)
-
-        return StreamProtocol(guarded_stream, stream.modes)
-
-    def _guard_call(self, call: Callable[..., Any]) -> Callable[..., Any]:
-        # No lock: child-task scheduling happens from the event loop only.
-        def guarded_call(*args: Any, **kwargs: Any) -> Any:
-            if not self._active:
-                raise asyncio.CancelledError
-            if self._refresh_on == "auto":
-                self._last_progress = time.monotonic()
-            return call(*args, **kwargs)
-
-        return guarded_call
-
-    def _guard_stream_writer(
-        self, stream_writer: Callable[[Any], None]
-    ) -> Callable[[Any], None]:
-        def guarded_stream_writer(chunk: Any) -> None:
-            with self._lock:
-                if not self._active:
-                    return
-                if self._refresh_on == "auto":
-                    self._last_progress = time.monotonic()
-            stream_writer(chunk)
-
-        return guarded_stream_writer
-
-
-class _IdleProgressCallbackHandler(BaseCallbackHandler):
-    """Resets the idle timeout clock on any LangChain callback event.
-
-    Inherits via `config["callbacks"]`, so it sees only events emitted by
-    runs descended from the node's attempt — sibling nodes do not bleed
-    through. Holds the scope by weakref so a child manager that outlives
-    the attempt cannot keep the scope alive.
-    """
-
-    # Run inline so progress is recorded in callback emission order;
-    # thread-pool dispatch would introduce extra reordering.
-    run_inline = True
-
-    def __init__(self, scope: _TimedAttemptScope) -> None:
-        self._scope_ref = weakref.ref(scope)
-
-    def _touch(self, *args: Any, **kwargs: Any) -> None:
-        if (scope := self._scope_ref()) is not None:
-            scope.touch()
-
-    on_llm_start = _touch
-    on_chat_model_start = _touch
-    on_llm_new_token = _touch
-    on_llm_end = _touch
-    on_llm_error = _touch
-    on_chain_start = _touch
-    on_chain_end = _touch
-    on_chain_error = _touch
-    on_tool_start = _touch
-    on_tool_end = _touch
-    on_tool_error = _touch
-    on_retriever_start = _touch
-    on_retriever_end = _touch
-    on_retriever_error = _touch
-    on_agent_action = _touch
-    on_agent_finish = _touch
-    on_text = _touch
-    on_retry = _touch
-    on_custom_event = _touch
-
-
-def _drain_cancelled(task: asyncio.Task[Any]) -> None:
-    # Mark the abandoned task's exception as retrieved so asyncio doesn't log it.
-    with suppress(asyncio.CancelledError):
-        task.exception()
-
-
-def _start_timed_attempt(
-    task: PregelExecutableTask, config: RunnableConfig, timeout: _ResolvedTimeout
-) -> _AttemptContext | None:
-    configurable = config.get(CONF, {})
-    callback = configurable.get(CONFIG_KEY_TIMED_ATTEMPT_OBSERVER)
-    if callback is None:
-        return None
-    runtime = configurable.get(CONFIG_KEY_RUNTIME)
-    execution_info = runtime.execution_info if isinstance(runtime, Runtime) else None
-    context = _AttemptContext(
-        task_id=task.id,
-        task_name=task.name,
-        attempt=execution_info.node_attempt if execution_info is not None else 1,
-        run_id=execution_info.run_id if execution_info is not None else None,
-        thread_id=execution_info.thread_id if execution_info is not None else None,
-        checkpoint_ns=(
-            execution_info.checkpoint_ns if execution_info is not None else None
-        ),
-        started_at=datetime.now(timezone.utc),
-        run_timeout_secs=timeout.run_timeout_secs,
-        idle_timeout_secs=timeout.idle_timeout_secs,
-        refresh_on=timeout.refresh_on,
-    )
-    _dispatch_observer(callback, _AttemptEvent(context=context, event="start"))
-    return context
-
-
-def _finish_timed_attempt(
-    config: RunnableConfig,
-    context: _AttemptContext | None,
-    error: BaseException | None = None,
-) -> None:
-    if context is None:
-        return
-    callback = config.get(CONF, {}).get(CONFIG_KEY_TIMED_ATTEMPT_OBSERVER)
-    if callback is None:
-        return
-    _dispatch_observer(
-        callback,
-        _AttemptEvent(
-            context=context,
-            event="finish",
-            finished_at=datetime.now(timezone.utc),
-            status="error" if error is not None else "success",
-            error_type=type(error).__name__ if error is not None else None,
-            error_message=str(error) if error is not None else None,
-        ),
-    )
-
-
-def _emit_progress(
-    callback: Callable[[_AttemptEvent], None],
-    context: _AttemptContext,
-) -> None:
-    _dispatch_observer(
-        callback,
-        _AttemptEvent(
-            context=context,
-            event="progress",
-            progress_at=datetime.now(timezone.utc),
-        ),
-    )
-
-
-def _dispatch_observer(
-    callback: Callable[[_AttemptEvent], None],
-    event: _AttemptEvent,
-) -> None:
-    try:
-        callback(event)
-    except Exception:
-        logger.warning("Timed attempt observer failed", exc_info=True)
-
-
-async def _run_timeout_watchdog(run_timeout_s: float) -> None:
-    await asyncio.sleep(run_timeout_s)
-    raise asyncio.TimeoutError
-
-
-async def _arun_with_timeout(
-    task: PregelExecutableTask,
-    config: RunnableConfig,
-    timeout: _ResolvedTimeout,
-    attempt_ctx: _AttemptContext | None,
-    *,
-    stream: bool,
-) -> Any:
-    run_timeout_s = timeout.run_timeout_secs
-    idle_timeout_s = timeout.idle_timeout_secs
-    on_progress: Callable[[], None] | None = None
-    if attempt_ctx is not None:
-        callback = config.get(CONF, {}).get(CONFIG_KEY_TIMED_ATTEMPT_OBSERVER)
-        if callback is not None and idle_timeout_s is not None:
-            on_progress = lambda: _emit_progress(callback, attempt_ctx)  # noqa: E731
-    scope = _TimedAttemptScope(
-        on_progress=on_progress,
-        # Cap progress emission at ~4 events per idle window so token-rate
-        # callbacks don't flood the observer.
-        progress_min_interval=idle_timeout_s / 4 if idle_timeout_s is not None else 0.0,
-        refresh_on=timeout.refresh_on,
-    )
-    scoped_config = scope.wrap_config(config)
-    start = time.monotonic()
-    if stream:
-        # Yielded chunks count as progress only under `refresh_on="auto"`.
-        # `refresh_on="heartbeat"` is the strict mode where only explicit
-        # `runtime.heartbeat()` calls reset the idle clock.
-        async def run() -> Any:
-            async for _ in task.proc.astream(task.input, scoped_config):
-                if timeout.refresh_on == "auto":
-                    scope.touch()
-
-    else:
-
-        async def run() -> Any:
-            return await task.proc.ainvoke(task.input, scoped_config)
-
-    bg = create_task_in_config_context(run, scoped_config)
-    watchdogs: dict[asyncio.Task[None], Literal["idle", "run"]] = {}
-    if idle_timeout_s is not None:
-        watchdogs[asyncio.create_task(scope.wait_for_idle_timeout(idle_timeout_s))] = (
-            "idle"
-        )
-    if run_timeout_s is not None:
-        watchdogs[asyncio.create_task(_run_timeout_watchdog(run_timeout_s))] = "run"
-    try:
-        done, _ = await asyncio.wait(
-            {bg, *watchdogs}, return_when=asyncio.FIRST_COMPLETED
-        )
-        if bg in done:
-            # Task completed in time.
-            for watchdog in watchdogs:
-                watchdog.cancel()
-            # FIRST_COMPLETED can return both; a watchdog may have
-            # already raised TimeoutError before we cancelled it.
-            for watchdog in watchdogs:
-                with suppress(asyncio.CancelledError, asyncio.TimeoutError):
-                    await watchdog
-            return await bg
-        # bg was not in `done`, so every member of `done` is one of our
-        # watchdogs. Only a watchdog's TimeoutError converts to
-        # NodeTimeoutError; any TimeoutError raised by the proc itself
-        # propagates unchanged.
-        for watchdog in done:
-            kind = watchdogs[watchdog]
-            try:
-                await watchdog
-            except asyncio.TimeoutError as exc:
-                elapsed = time.monotonic() - start
-                scope.close()
-                task.writes.clear()
-                bg.cancel()
-                bg.add_done_callback(_drain_cancelled)
-                raise NodeTimeoutError(
-                    task.name,
-                    elapsed,
-                    kind=kind,
-                    idle_timeout=idle_timeout_s,
-                    run_timeout=run_timeout_s,
-                ) from exc
-            raise RuntimeError(
-                f"{kind} timeout watchdog completed without raising TimeoutError"
-            )
-        raise RuntimeError("timeout wait completed without task or watchdog")
-    except asyncio.CancelledError:
-        scope.close()
-        bg.cancel()
-        for watchdog in watchdogs:
-            watchdog.cancel()
-        bg.add_done_callback(_drain_cancelled)
-        raise
-    finally:
-        scope.close()
-        for watchdog in watchdogs:
-            watchdog.cancel()
-
-
 def _ensure_execution_info(
    runtime: Runtime, config: RunnableConfig, task: PregelExecutableTask
 ) -> Runtime:
@@ -545,10 +90,6 @@ def run_with_retry(
 ) -> None:
    """Run a task with retries."""
    retry_policy = task.retry_policy or retry_policy
-    if task.timeout is not None:
-        # `validate_timeout_supported` catches sync nodes at compile time;
-        # this is a runtime safety net for paths that may bypass that validation.
-        raise sync_timeout_unsupported(task.name)
    attempts = 0
    node_first_attempt_time = time.time()
    config = task.config
@@ -654,9 +195,6 @@ async def arun_with_retry(
 ) -> None:
    """Run a task asynchronously with retries."""
    retry_policy = task.retry_policy or retry_policy
-    resolved_timeout = (
-        _resolve_timeout(task.timeout) if task.timeout is not None else None
-    )
    attempts = 0
    node_first_attempt_time = time.time()
    config = task.config
@@ -691,53 +229,35 @@ async def arun_with_retry(
                    )
                },
            )
-        attempt_ctx = (
-            _start_timed_attempt(task, config, resolved_timeout)
-            if resolved_timeout is not None
-            else None
-        )
        try:
+            # clear any writes from previous attempts
            task.writes.clear()
-            if resolved_timeout is None:
-                if stream:
-                    async for _ in task.proc.astream(task.input, config):
-                        pass
-                    break
-                return await task.proc.ainvoke(task.input, config)
-            result = await _arun_with_timeout(
-                task, config, resolved_timeout, attempt_ctx, stream=stream
-            )
-            _finish_timed_attempt(config, attempt_ctx)
+            # run the task
            if stream:
+                async for _ in task.proc.astream(task.input, config):
+                    pass
                # if successful, end
                break
-            return result
+            else:
+                return await task.proc.ainvoke(task.input, config)
        except ParentCommand as exc:
            ns: str = config[CONF][CONFIG_KEY_CHECKPOINT_NS]
            cmd = exc.args[0]
            # strip task_ids from namespace for comparison (ns format: "node1|node2:task_id")
            if cmd.graph in (ns, recast_checkpoint_ns(ns), task.name):
-                try:
-                    # this command is for the current graph, handle it
-                    for w in task.writers:
-                        w.invoke(cmd, config)
-                except Exception as writer_exc:
-                    _finish_timed_attempt(config, attempt_ctx, writer_exc)
-                    raise
-                _finish_timed_attempt(config, attempt_ctx)
+                # this command is for the current graph, handle it
+                for w in task.writers:
+                    w.invoke(cmd, config)
                break
            elif cmd.graph == Command.PARENT:
                # this command is for the parent graph, assign it to the parent.
                exc.args = (replace(cmd, graph=_checkpoint_ns_for_parent_command(ns)),)
-            _finish_timed_attempt(config, attempt_ctx)
-            # bubble up the exception to the parent graph
+            # bubble up
            raise
        except GraphBubbleUp:
            # if interrupted, end
-            _finish_timed_attempt(config, attempt_ctx)
            raise
        except Exception as exc:
-            _finish_timed_attempt(config, attempt_ctx, exc)
            if SUPPORTS_EXC_NOTES:
                exc.add_note(f"During task with name '{task.name}' and id '{task.id}'")
            if not retry_policy:
@@ -10,10 +10,8 @@ from collections.abc import (
    AsyncIterator,
    Awaitable,
    Callable,
-    Collection,
    Iterable,
    Iterator,
-    Mapping,
    Sequence,
 )
 from functools import partial
@@ -48,7 +46,6 @@ from langgraph.types import (
    CachePolicy,
    PregelExecutableTask,
    RetryPolicy,
-    TimeoutPolicy,
 )

 F = TypeVar("F", concurrent.futures.Future, asyncio.Future)
@@ -74,10 +71,6 @@ SKIP_RERAISE_SET: weakref.WeakSet[concurrent.futures.Future | asyncio.Future] =
 class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
    event: E
    callback: weakref.ref[Callable[[PregelExecutableTask, BaseException | None], None]]
-    # Stop condition is injected by PregelRunner instead of hard-coded here.
-    # This lets the runner treat graph-error-handled exceptions as non-fatal
-    # so `on_done` does not trigger an early stop for those futures.
-    should_stop: Callable[[set[F]], bool]
    counter: int
    done: set[F]
    lock: threading.Lock
@@ -88,7 +81,6 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
        callback: weakref.ref[
            Callable[[PregelExecutableTask, BaseException | None], None]
        ],
-        should_stop: Callable[[set[F]], bool],
        future_type: type[F],
        # used for generic typing, newer py supports FutureDict[...](...)
    ) -> None:
@@ -96,7 +88,6 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
        self.lock = threading.Lock()
        self.event = event
        self.callback = callback
-        self.should_stop = should_stop
        self.counter = 0
        self.done: set[F] = set()

@@ -117,7 +108,6 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
        task: PregelExecutableTask,
        fut: F,
    ) -> None:
-        # Called automatically by future.add_done_callback registered in __setitem__.
        try:
            if cb := self.callback():
                cb(task, _exception(fut))
@@ -125,9 +115,7 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
            with self.lock:
                self.done.add(fut)
                self.counter -= 1
-                # Wake waiter when all tracked futures are done, or when runner-level
-                # stop condition is met (for example, a non-handled fatal exception).
-                if self.counter == 0 or self.should_stop(self.done):
+                if self.counter == 0 or _should_stop_others(self.done):
                    self.event.set()


@@ -143,34 +131,11 @@ class PregelRunner:
        put_writes: weakref.ref[Callable[[str, Sequence[tuple[str, Any]]], None]],
        use_astream: bool = False,
        node_finished: Callable[[str], None] | None = None,
-        node_error_handler_map: Mapping[str, str] | None = None,
-        schedule_error_handler: Callable[
-            [PregelExecutableTask, BaseException], PregelExecutableTask | None
-        ]
-        | None = None,
-        aschedule_error_handler: Callable[
-            [PregelExecutableTask, BaseException],
-            Awaitable[PregelExecutableTask | None],
-        ]
-        | None = None,
    ) -> None:
        self.submit = submit
        self.put_writes = put_writes
        self.use_astream = use_astream
        self.node_finished = node_finished
-        self.node_error_handler_map = dict(node_error_handler_map or {})
-        self.error_handler_nodes = set(self.node_error_handler_map.values())
-        self.schedule_error_handler = schedule_error_handler
-        self.aschedule_error_handler = aschedule_error_handler
-        # Exception object ids that are already routed to graph-level error handler.
-        # These ids are consulted by stop/panic checks to avoid re-raising handled
-        # exceptions via the normal fatal path in the same run.
-        self._handled_exception_ids: set[int] = set()
-
-    def _should_route_to_error_handler(self, task: PregelExecutableTask) -> bool:
-        if task.name in self.error_handler_nodes:
-            return False
-        return task.name in self.node_error_handler_map

    def tick(
        self,
@@ -189,9 +154,6 @@ class PregelRunner:
        futures = FuturesDict(
            callback=weakref.WeakMethod(self.commit),
            event=threading.Event(),
-            should_stop=partial(
-                _should_stop_others, handled_exception_ids=self._handled_exception_ids
-            ),
            future_type=concurrent.futures.Future,
        )
        # give control back to the caller
@@ -201,7 +163,6 @@ class PregelRunner:
            return
        elif len(tasks) == 1 and timeout is None and get_waiter is None:
            t = tasks[0]
-            scheduled_error_handler = False
            try:
                run_with_retry(
                    t,
@@ -220,23 +181,12 @@ class PregelRunner:
                self.commit(t, None)
            except Exception as exc:
                self.commit(t, exc)
-                if (
-                    not isinstance(exc, GraphBubbleUp)
-                    and self._should_route_to_error_handler(t)
-                    and self.schedule_error_handler is not None
-                ):
-                    self._handled_exception_ids.add(id(exc))
-                    if handler_task := self.schedule_error_handler(t, exc):
-                        tasks = (handler_task,)
-                        scheduled_error_handler = True
-                        # Continue to the regular scheduling path for handler execution.
                if reraise and futures:
-                    if id(exc) not in self._handled_exception_ids:
-                        # will be re-raised after futures are done
-                        fut: concurrent.futures.Future = concurrent.futures.Future()
-                        fut.set_exception(exc)
-                        futures.done.add(fut)
-                elif reraise and id(exc) not in self._handled_exception_ids:
+                    # will be re-raised after futures are done
+                    fut: concurrent.futures.Future = concurrent.futures.Future()
+                    fut.set_exception(exc)
+                    futures.done.add(fut)
+                elif reraise:
                    if tb := exc.__traceback__:
                        while tb.tb_next is not None and any(
                            tb.tb_frame.f_code.co_filename.endswith(name)
@@ -245,12 +195,10 @@ class PregelRunner:
                            tb = tb.tb_next
                        exc.__traceback__ = tb
                    raise
-            if not futures and not scheduled_error_handler:
-                # maybe `t` scheduled another task
+            if not futures:  # maybe `t` scheduled another task
                return
            else:
-                if not scheduled_error_handler:
-                    tasks = ()  # don't reschedule this task
+                tasks = ()  # don't reschedule this task
        # add waiter task if requested
        if get_waiter is not None:
            futures[get_waiter()] = None
@@ -277,7 +225,6 @@ class PregelRunner:
        # each task is independent from all other concurrent tasks
        # yield updates/debug output as each task finishes
        end_time = timeout + time.monotonic() if timeout else None
-        handled_futures: set[concurrent.futures.Future[Any]] = set()
        while len(futures) > (1 if get_waiter is not None else 0):
            done, inflight = concurrent.futures.wait(
                futures,
@@ -286,49 +233,17 @@ class PregelRunner:
            )
            if not done:
                break  # timed out
-            done_for_stop: set[concurrent.futures.Future[Any]] = set()
            for fut in done:
                task = futures.pop(fut)
                if task is None:
                    # waiter task finished, schedule another
                    if inflight and get_waiter is not None:
                        futures[get_waiter()] = None
-                elif (
-                    (task_exc := _exception(fut))
-                    and self._should_route_to_error_handler(task)
-                    and not isinstance(task_exc, GraphBubbleUp)
-                ):
-                    self._handled_exception_ids.add(id(task_exc))
-                    SKIP_RERAISE_SET.add(fut)
-                    handled_futures.add(fut)
-                    if self.schedule_error_handler is not None:
-                        if handler_task := self.schedule_error_handler(task, task_exc):
-                            handler_fut = self.submit()(  # type: ignore[misc]
-                                run_with_retry,
-                                handler_task,
-                                retry_policy,
-                                configurable={
-                                    CONFIG_KEY_CALL: partial(
-                                        _call,
-                                        weakref.ref(handler_task),
-                                        retry_policy=retry_policy,
-                                        futures=weakref.ref(futures),
-                                        schedule_task=schedule_task,
-                                        submit=self.submit,
-                                    ),
-                                },
-                                __reraise_on_exit__=reraise,
-                            )
-                            futures[handler_fut] = handler_task
-                else:
-                    done_for_stop.add(fut)
            else:
                # remove references to loop vars
                del fut, task
            # maybe stop other tasks
-            if _should_stop_others(
-                done_for_stop, handled_exception_ids=self._handled_exception_ids
-            ):
+            if _should_stop_others(done):
                break
            # give control back to the caller
            yield
@@ -343,8 +258,6 @@ class PregelRunner:
            _panic_or_proceed(
                futures.done.union(f for f, t in futures.items() if t is not None),
                panic=reraise,
-                handled_exception_ids=self._handled_exception_ids,
-                handled_futures=handled_futures,
            )
        except Exception as exc:
            if tb := exc.__traceback__:
@@ -378,9 +291,6 @@ class PregelRunner:
        futures = FuturesDict(
            callback=weakref.WeakMethod(self.commit),
            event=asyncio.Event(),
-            should_stop=partial(
-                _should_stop_others, handled_exception_ids=self._handled_exception_ids
-            ),
            future_type=asyncio.Future,
        )
        # give control back to the caller
@@ -390,7 +300,6 @@ class PregelRunner:
            return
        elif len(tasks) == 1 and get_waiter is None and timeout is None:
            t = tasks[0]
-            scheduled_error_handler = False
            try:
                await arun_with_retry(
                    t,
@@ -412,22 +321,12 @@ class PregelRunner:
                self.commit(t, None)
            except Exception as exc:
                self.commit(t, exc)
-                if (
-                    not isinstance(exc, GraphBubbleUp)
-                    and self._should_route_to_error_handler(t)
-                    and self.aschedule_error_handler is not None
-                ):
-                    self._handled_exception_ids.add(id(exc))
-                    if handler_task := await self.aschedule_error_handler(t, exc):
-                        tasks = (handler_task,)
-                        scheduled_error_handler = True
                if reraise and futures:
-                    if id(exc) not in self._handled_exception_ids:
-                        # will be re-raised after futures are done
-                        fut: asyncio.Future = loop.create_future()
-                        fut.set_exception(exc)
-                        futures.done.add(fut)
-                elif reraise and id(exc) not in self._handled_exception_ids:
+                    # will be re-raised after futures are done
+                    fut: asyncio.Future = loop.create_future()
+                    fut.set_exception(exc)
+                    futures.done.add(fut)
+                elif reraise:
                    if tb := exc.__traceback__:
                        while tb.tb_next is not None and any(
                            tb.tb_frame.f_code.co_filename.endswith(name)
@@ -436,12 +335,10 @@ class PregelRunner:
                            tb = tb.tb_next
                        exc.__traceback__ = tb
                    raise
-            if not futures and not scheduled_error_handler:
-                # maybe `t` scheduled another task
+            if not futures:  # maybe `t` scheduled another task
                return
            else:
-                if not scheduled_error_handler:
-                    tasks = ()  # don't reschedule this task
+                tasks = ()  # don't reschedule this task
        # add waiter task if requested
        if get_waiter is not None:
            futures[get_waiter()] = None
@@ -476,7 +373,6 @@ class PregelRunner:
        # each task is independent from all other concurrent tasks
        # yield updates/debug output as each task finishes
        end_time = timeout + loop.time() if timeout else None
-        handled_futures: set[asyncio.Future[Any]] = set()
        while len(futures) > (1 if get_waiter is not None else 0):
            done, inflight = await asyncio.wait(
                futures,
@@ -485,59 +381,17 @@ class PregelRunner:
            )
            if not done:
                break  # timed out
-            done_for_stop: set[asyncio.Future[Any]] = set()
            for fut in done:
                task = futures.pop(fut)
                if task is None:
                    # waiter task finished, schedule another
                    if inflight and get_waiter is not None:
                        futures[get_waiter()] = None
-                elif (
-                    (task_exc := _exception(fut))
-                    and self._should_route_to_error_handler(task)
-                    and not isinstance(task_exc, GraphBubbleUp)
-                ):
-                    self._handled_exception_ids.add(id(task_exc))
-                    SKIP_RERAISE_SET.add(fut)
-                    handled_futures.add(fut)
-                    if self.aschedule_error_handler is not None:
-                        if handler_task := await self.aschedule_error_handler(
-                            task, task_exc
-                        ):
-                            handler_fut = cast(
-                                asyncio.Future,
-                                self.submit()(  # type: ignore[misc]
-                                    arun_with_retry,
-                                    handler_task,
-                                    retry_policy,
-                                    stream=self.use_astream,
-                                    configurable={
-                                        CONFIG_KEY_CALL: partial(
-                                            _acall,
-                                            weakref.ref(handler_task),
-                                            retry_policy=retry_policy,
-                                            stream=self.use_astream,
-                                            futures=weakref.ref(futures),
-                                            schedule_task=schedule_task,
-                                            submit=self.submit,
-                                            loop=loop,
-                                        ),
-                                    },
-                                    __name__=handler_task.name,
-                                    __cancel_on_exit__=True,
-                                    __reraise_on_exit__=reraise,
-                                ),
-                            )
-                            futures[handler_fut] = handler_task
-                else:
-                    done_for_stop.add(fut)
            else:
                # remove references to loop vars
                del fut, task
            # maybe stop other tasks
-            if _should_stop_others(
-                done_for_stop, handled_exception_ids=self._handled_exception_ids
-            ):
+            if _should_stop_others(done):
                break
            # give control back to the caller
            yield
@@ -557,8 +411,6 @@ class PregelRunner:
                futures.done.union(f for f, t in futures.items() if t is not None),
                timeout_exc_cls=asyncio.TimeoutError,
                panic=reraise,
-                handled_exception_ids=self._handled_exception_ids,
-                handled_futures=handled_futures,
            )
        except Exception as exc:
            if tb := exc.__traceback__:
@@ -594,11 +446,6 @@ class PregelRunner:
            else:
                # save error to checkpointer
                task.writes.append((ERROR, exception))
-                if self._should_route_to_error_handler(task) and not isinstance(
-                    exception, GraphBubbleUp
-                ):
-                    # Mark early in commit path; loop-side routing may happen later.
-                    self._handled_exception_ids.add(id(exception))
                self.put_writes()(task.id, task.writes)  # type: ignore[misc]
        else:
            if self.node_finished and (
@@ -614,8 +461,6 @@ class PregelRunner:

 def _should_stop_others(
    done: set[F],
-    *,
-    handled_exception_ids: set[int] | None = None,
 ) -> bool:
    """Check if any task failed, if so, cancel all other tasks.
    GraphInterrupts are not considered failures."""
@@ -623,11 +468,7 @@ def _should_stop_others(
        if fut.cancelled():
            continue
        elif exc := fut.exception():
-            if (
-                id(exc) not in (handled_exception_ids or set())
-                and not isinstance(exc, GraphBubbleUp)
-                and fut not in SKIP_RERAISE_SET
-            ):
+            if not isinstance(exc, GraphBubbleUp) and fut not in SKIP_RERAISE_SET:
                return True

    return False
@@ -651,9 +492,6 @@ def _panic_or_proceed(
    *,
    timeout_exc_cls: type[Exception] = TimeoutError,
    panic: bool = True,
-    handled_exception_ids: set[int] | None = None,
-    handled_futures: Collection[concurrent.futures.Future[Any] | asyncio.Future[Any]]
-    | None = None,
 ) -> None:
    """Cancel remaining tasks if any failed, re-raise exception if panic is True."""
    done: set[concurrent.futures.Future[Any] | asyncio.Future[Any]] = set()
@@ -670,10 +508,6 @@ def _panic_or_proceed(
        # if any task failed
        fut = done.pop()
        if exc := _exception(fut):
-            if fut in (handled_futures or set()):
-                continue
-            if id(exc) in (handled_exception_ids or set()):
-                continue
            # cancel all pending tasks
            while inflight:
                inflight.pop().cancel()
@@ -703,7 +537,6 @@ def _call(
    *,
    retry_policy: Sequence[RetryPolicy] | None = None,
    cache_policy: CachePolicy | None = None,
-    timeout: TimeoutPolicy | None = None,
    callbacks: Callbacks = None,
    futures: weakref.ref[FuturesDict],
    schedule_task: Callable[
@@ -727,7 +560,6 @@ def _call(
            retry_policy=retry_policy,
            cache_policy=cache_policy,
            callbacks=callbacks,
-            timeout=timeout,
        ),
    ):
        if fut := next(
@@ -792,7 +624,6 @@ def _acall(
    *,
    retry_policy: Sequence[RetryPolicy] | None = None,
    cache_policy: CachePolicy | None = None,
-    timeout: TimeoutPolicy | None = None,
    callbacks: Callbacks = None,
    # injected dependencies
    futures: weakref.ref[FuturesDict],
@@ -826,7 +657,6 @@ def _acall(
            input,
            retry_policy=retry_policy,
            cache_policy=cache_policy,
-            timeout=timeout,
            callbacks=callbacks,
            futures=futures,
            schedule_task=schedule_task,
@@ -848,7 +678,6 @@ async def _acall_impl(
    *,
    retry_policy: Sequence[RetryPolicy] | None = None,
    cache_policy: CachePolicy | None = None,
-    timeout: TimeoutPolicy | None = None,
    callbacks: Callbacks = None,
    # injected dependencies
    futures: weakref.ref[FuturesDict[asyncio.Future, asyncio.Event]],
@@ -874,7 +703,6 @@ async def _acall_impl(
                retry_policy=retry_policy,
                cache_policy=cache_policy,
                callbacks=callbacks,
-                timeout=timeout,
            ),
        ):
            if fut := next(
@@ -1,268 +0,0 @@
-from __future__ import annotations
-
-from collections.abc import AsyncIterator, Callable, Iterator
-from contextvars import ContextVar, Token
-from typing import Any, TypeVar, cast
-from uuid import UUID
-
-from langchain_core.callbacks import BaseCallbackHandler
-
-from langgraph._internal._constants import NS_SEP
-from langgraph.constants import TAG_NOSTREAM
-from langgraph.pregel.protocol import StreamChunk
-
-try:
-    from langchain_core.tracers._streaming import _StreamingCallbackHandler
-except ImportError:
-    _StreamingCallbackHandler = object  # type: ignore[assignment,misc]
-
-
-T = TypeVar("T")
-
-ToolCallWriter = Callable[[Any], None]
-"""A closure bound to a single tool call that emits `tool-output-delta` events."""
-
-_tool_call_writer: ContextVar[ToolCallWriter | None] = ContextVar(
-    "langgraph_tool_call_writer", default=None
-)
-"""ContextVar holding the writer for the currently-executing tool call.
-
-Set by `StreamToolCallHandler.on_tool_start` and reset on end/error.
-Read by `ToolRuntime.emit_output_delta` (in `langgraph.prebuilt`).
-"""
-
-
-class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
-    """Callback handler that emits tool-call lifecycle events on the stream.
-
-    Fires on LangChain's `on_tool_*` callbacks and pushes to the `tools`
-    stream mode. Emits `tool-started` / `tool-output-delta` /
-    `tool-finished` / `tool-error` payloads keyed by `tool_call_id`.
-
-    While a tool is executing, this handler sets `_tool_call_writer` to a
-    closure bound to that call's namespace and `tool_call_id`.
-    `ToolRuntime.emit_output_delta` reads that ContextVar so tool bodies
-    can stream partial output without threading the writer through their
-    own signature.
-
-    Attached by `Pregel.stream` / `astream` when `"tools"` is in
-    `stream_modes`. `run_inline = True` keeps event ordering
-    deterministic.
-    """
-
-    run_inline = True
-
-    def __init__(
-        self,
-        stream: Callable[[StreamChunk], None],
-        subgraphs: bool,
-        *,
-        parent_ns: tuple[str, ...] | None = None,
-    ) -> None:
-        """Configure the handler to stream tool-call events.
-
-        Args:
-            stream: Callable that accepts a `StreamChunk` tuple
-                `(namespace, mode, payload)` and enqueues it.
-            subgraphs: Whether to emit events from tools called inside
-                nested subgraphs. When False, only tools at the
-                handler's own scope (`parent_ns`) emit.
-            parent_ns: Namespace where the handler was attached.
-                Mirrors the `StreamMessagesHandler` escape hatch:
-                tools whose containing namespace equals `parent_ns`
-                still emit even with `subgraphs=False`, so a node that
-                explicitly streams a subgraph with `stream_mode="tools"`
-                sees its own tools.
-        """
-        self.stream = stream
-        self.subgraphs = subgraphs
-        self.parent_ns = parent_ns
-        # run_id → (namespace, tool_call_id, ContextVar token)
-        # `on_tool_end` does not receive `tool_call_id` in kwargs, so
-        # we correlate by `run_id` which is present on every callback.
-        self._run_to_call: dict[
-            UUID, tuple[tuple[str, ...], str, Token[ToolCallWriter | None]]
-        ] = {}
-
-    def _ns_for_emit(
-        self,
-        metadata: dict[str, Any] | None,
-        tags: list[str] | None,
-    ) -> tuple[str, ...] | None:
-        """Resolve the namespace this tool call should emit at, or `None` to skip.
-
-        Mirrors `StreamMessagesHandler.on_chat_model_start`'s namespace
-        derivation: parses `langgraph_checkpoint_ns` (which ends with
-        the `node_name:task_id` of the calling node), drops that
-        trailing segment, and returns the containing subgraph's own
-        namespace. Returns `None` when the call should be silently
-        suppressed:
-
-        - `metadata` is missing — handler is attached to a context
-          without Pregel routing info.
-        - `TAG_NOSTREAM` is in `tags` — caller explicitly opted out.
-        - Tool runs in a subgraph (`len(ns) > 0`) and the handler was
-          attached with `subgraphs=False` and a different `parent_ns`
-          than the call's containing subgraph.
-        """
-        if not metadata:
-            return None
-        if tags and TAG_NOSTREAM in tags:
-            return None
-        nskey = metadata.get("langgraph_checkpoint_ns")
-        if not nskey:
-            ns: tuple[str, ...] = ()
-        else:
-            ns = tuple(cast(str, nskey).split(NS_SEP))[:-1]
-        if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
-            return None
-        return ns
-
-    def _start(
-        self,
-        serialized: dict[str, Any] | None,
-        input_str: str,
-        *,
-        run_id: UUID,
-        metadata: dict[str, Any] | None,
-        tags: list[str] | None,
-        inputs: dict[str, Any] | None,
-        kwargs: dict[str, Any],
-    ) -> None:
-        ns = self._ns_for_emit(metadata, tags)
-        if ns is None:
-            return
-        tool_call_id = cast("str | None", kwargs.get("tool_call_id")) or str(run_id)
-        tool_name = (
-            (serialized or {}).get("name")
-            or cast("str | None", kwargs.get("name"))
-            or ""
-        )
-
-        def writer(delta: Any) -> None:
-            self.stream(
-                (
-                    ns,
-                    "tools",
-                    {
-                        "event": "tool-output-delta",
-                        "tool_call_id": tool_call_id,
-                        "delta": delta,
-                    },
-                )
-            )
-
-        token = _tool_call_writer.set(writer)
-        self._run_to_call[run_id] = (ns, tool_call_id, token)
-
-        payload: dict[str, Any] = {
-            "event": "tool-started",
-            "tool_call_id": tool_call_id,
-            "tool_name": tool_name,
-        }
-        if inputs is not None:
-            payload["input"] = inputs
-        self.stream((ns, "tools", payload))
-
-    def _end(self, output: Any, *, run_id: UUID) -> None:
-        info = self._run_to_call.pop(run_id, None)
-        if info is None:
-            return
-        ns, tool_call_id, token = info
-        self._reset_writer(token)
-        self.stream(
-            (
-                ns,
-                "tools",
-                {
-                    "event": "tool-finished",
-                    "tool_call_id": tool_call_id,
-                    "output": output,
-                },
-            )
-        )
-
-    def _error(self, error: BaseException, *, run_id: UUID) -> None:
-        info = self._run_to_call.pop(run_id, None)
-        if info is None:
-            return
-        ns, tool_call_id, token = info
-        self._reset_writer(token)
-        self.stream(
-            (
-                ns,
-                "tools",
-                {
-                    "event": "tool-error",
-                    "tool_call_id": tool_call_id,
-                    "message": str(error),
-                },
-            )
-        )
-
-    def tap_output_aiter(
-        self, run_id: UUID, output: AsyncIterator[T]
-    ) -> AsyncIterator[T]:
-        """Pass-through — required by the `_StreamingCallbackHandler` protocol."""
-        return output
-
-    def tap_output_iter(self, run_id: UUID, output: Iterator[T]) -> Iterator[T]:
-        """Pass-through — sync counterpart to `tap_output_aiter`."""
-        return output
-
-    @staticmethod
-    def _reset_writer(token: Token[ToolCallWriter | None]) -> None:
-        # Token is invalid if `on_tool_end` runs in a different context
-        # than `on_tool_start` (e.g. langchain may hand off to a thread
-        # worker without copying the context). Swallow that case; the
-        # ContextVar lifetime is bounded by the enclosing task anyway.
-        try:
-            _tool_call_writer.reset(token)
-        except ValueError:
-            pass
-
-    # ------------------------------------------------------------------
-    # Sync callbacks
-    # ------------------------------------------------------------------
-
-    def on_tool_start(
-        self,
-        serialized: dict[str, Any],
-        input_str: str,
-        *,
-        run_id: UUID,
-        parent_run_id: UUID | None = None,
-        tags: list[str] | None = None,
-        metadata: dict[str, Any] | None = None,
-        inputs: dict[str, Any] | None = None,
-        **kwargs: Any,
-    ) -> Any:
-        self._start(
-            serialized,
-            input_str,
-            run_id=run_id,
-            metadata=metadata,
-            tags=tags,
-            inputs=inputs,
-            kwargs=kwargs,
-        )
-
-    def on_tool_end(
-        self,
-        output: Any,
-        *,
-        run_id: UUID,
-        parent_run_id: UUID | None = None,
-        **kwargs: Any,
-    ) -> Any:
-        self._end(output, run_id=run_id)
-
-    def on_tool_error(
-        self,
-        error: BaseException,
-        *,
-        run_id: UUID,
-        parent_run_id: UUID | None = None,
-        **kwargs: Any,
-    ) -> Any:
-        self._error(error, run_id=run_id)
@@ -4,27 +4,16 @@ import ast
 import inspect
 import re
 import textwrap
-from collections.abc import Callable, Sequence
-from functools import partial
+from collections.abc import Callable
 from typing import Any

-from langchain_core.runnables import (
-    Runnable,
-    RunnableLambda,
-    RunnableParallel,
-    RunnableSequence,
-)
-from langchain_core.runnables.base import RunnableBindingBase
-from langchain_core.runnables.config import run_in_executor
+from langchain_core.runnables import Runnable, RunnableLambda, RunnableSequence
 from langgraph.checkpoint.base import ChannelVersions
 from typing_extensions import override

 from langgraph._internal._runnable import RunnableCallable, RunnableSeq
-from langgraph._internal._timeout import sync_timeout_unsupported
 from langgraph.pregel.protocol import PregelProtocol

-_SEQUENCE_TYPES = (RunnableSeq, RunnableSequence)
-

 def get_new_channel_versions(
    previous_versions: ChannelVersions, current_versions: ChannelVersions
@@ -75,68 +64,6 @@ def find_subgraph_pregel(candidate: Runnable) -> PregelProtocol | None:
    return None


-def _sequence_steps(runnable: Runnable) -> Sequence[Runnable] | None:
-    if isinstance(runnable, _SEQUENCE_TYPES):
-        return runnable.steps
-    return None
-
-
-def _parallel_steps(runnable: Runnable) -> Sequence[Runnable] | None:
-    if isinstance(runnable, RunnableParallel):
-        return tuple(runnable.steps__.values())
-    return None
-
-
-def _has_method_override(runnable: Runnable, method_name: str) -> bool:
-    method = getattr(type(runnable), method_name, None)
-    return method is not None and method is not getattr(Runnable, method_name)
-
-
-def _is_executor_backed_afunc(afunc: Callable[..., Any] | None) -> bool:
-    return isinstance(afunc, partial) and afunc.func is run_in_executor
-
-
-def _has_native_async(runnable: Runnable) -> bool:
-    if isinstance(runnable, RunnableCallable):
-        return runnable.afunc is not None and not _is_executor_backed_afunc(
-            runnable.afunc
-        )
-    if isinstance(runnable, RunnableLambda):
-        return bool(getattr(runnable, "afunc", False))
-    return _has_method_override(runnable, "ainvoke")
-
-
-def _runnable_has_native_async(runnable: Runnable) -> bool:
-    """Return whether a runnable can be idle-timed without known sync code.
-
-    For custom runnable subclasses, an `ainvoke` override is treated as the
-    async contract. We do not introspect whether that implementation delegates
-    to blocking work internally — e.g. a subclass whose `ainvoke` calls
-    `asyncio.to_thread(self.invoke, ...)` will pass this check but the wrapped
-    sync work is still uncancellable. Idle-timeout enforcement on such a
-    runnable will fire `NodeTimeoutError` correctly, but the background thread
-    will keep running until its sync work returns.
-    """
-
-    while isinstance(runnable, RunnableBindingBase):
-        runnable = runnable.bound
-    steps = _sequence_steps(runnable)
-    if steps is None:
-        steps = _parallel_steps(runnable)
-    if steps is not None:
-        return all(_runnable_has_native_async(step) for step in steps)
-    # Raw callables and the common composition wrappers created by graph
-    # builders fall through here. We do not exhaustively unwrap every Runnable
-    # wrapper — wrappers that provide `ainvoke` are treated as owning the async
-    # contract.
-    return _has_native_async(runnable)
-
-
-def validate_timeout_supported(runnable: Runnable, *, name: str) -> None:
-    if not _runnable_has_native_async(runnable):
-        raise sync_timeout_unsupported(name)
-
-
 def get_function_nonlocals(func: Callable) -> list[Any]:
    """Get the nonlocal variables accessed by a function.

@@ -653,10 +653,11 @@ class RemoteGraph(PregelProtocol):
        # coerce to list, or add default stream mode
        if stream_mode:
            if isinstance(stream_mode, str):
-                updated_stream_modes.append(stream_mode)
+                updated_stream_modes.append(cast(StreamModeSDK, stream_mode))
            else:
                req_single = False
-                updated_stream_modes.extend(stream_mode)
+                for m in stream_mode:
+                    updated_stream_modes.append(cast(StreamModeSDK, m))
        else:
            updated_stream_modes.append(default)
        requested_stream_modes = updated_stream_modes.copy()
@@ -665,7 +666,8 @@ class RemoteGraph(PregelProtocol):
            (config or {}).get(CONF, {}).get(CONFIG_KEY_STREAM)
        )
        if stream:
-            updated_stream_modes.extend(stream.modes)
+            for m in stream.modes:
+                updated_stream_modes.append(cast(StreamModeSDK, m))
        # map "messages" to "messages-tuple"
        if "messages" in updated_stream_modes:
            updated_stream_modes.remove("messages")
@@ -1,6 +1,5 @@
 from __future__ import annotations

-from collections.abc import Callable
 from dataclasses import dataclass, field, replace
 from typing import Any, Generic, cast

@@ -16,7 +15,6 @@ from langgraph.typing import ContextT
 __all__ = (
    "BaseUser",
    "ExecutionInfo",
-    "RunControl",
    "Runtime",
    "ServerInfo",
    "get_runtime",
@@ -76,49 +74,16 @@ class ServerInfo:
    """


-class RunControl:
-    """Run-scoped control surface for cooperative draining.
-
-    Intended for a single graph run. Create a fresh `RunControl` per run;
-    reusing a control after `request_drain()` leaves it drained.
-
-    Safe to call from any thread: the drain request is represented by a
-    single attribute write, so no lock is needed for this signal.
-    If more mutable state is added here, add synchronization.
-    """
-
-    __slots__ = ("_drain_reason",)
-
-    def __init__(self) -> None:
-        self._drain_reason: str | None = None
-
-    def request_drain(self, reason: str = "shutdown") -> None:
-        self._drain_reason = reason
-
-    @property
-    def drain_requested(self) -> bool:
-        return self._drain_reason is not None
-
-    @property
-    def drain_reason(self) -> str | None:
-        return self._drain_reason
-
-
 def _no_op_stream_writer(_: Any) -> None: ...


-def _no_op_heartbeat() -> None: ...
-
-
 class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
    context: ContextT
    store: BaseStore | None
    stream_writer: StreamWriter
-    heartbeat: Callable[[], None]
    previous: Any
    execution_info: ExecutionInfo
    server_info: ServerInfo | None
-    control: RunControl | None


@dataclass(**_DC_KWARGS)
@@ -197,7 +162,7 @@ class Runtime(Generic[ContextT]):

    context: ContextT = field(default=None)  # type: ignore[assignment]
    """Static context for the graph run, like `user_id`, `db_conn`, etc.
-
+    
    Can also be thought of as 'run dependencies'."""

    store: BaseStore | None = field(default=None)
@@ -206,19 +171,9 @@ class Runtime(Generic[ContextT]):
    stream_writer: StreamWriter = field(default=_no_op_stream_writer)
    """Function that writes to the custom stream."""

-    heartbeat: Callable[[], None] = field(default=_no_op_heartbeat)
-    """Record progress for the current node's `idle_timeout`.
-
-    Call this from inside long-running work that does not naturally emit
-    writes, stream chunks, child tasks, or LangChain callback events, to
-    prevent the node from being treated as idle. It is also the only
-    progress signal honored under `TimeoutPolicy(refresh_on="heartbeat")`.
-    Outside an idle-timed attempt this is a no-op.
-    """
-
    previous: Any = field(default=None)
    """The previous return value for the given thread.
-
+    
    Only available with the functional API when a checkpointer is provided.
    """

@@ -230,13 +185,6 @@ class Runtime(Generic[ContextT]):
    server_info: ServerInfo | None = field(default=None)
    """Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""

-    control: RunControl | None = field(default=None)
-    """Run-scoped control plane for cooperative draining.
-
-    Populated automatically during graph runs. None outside an active
-    graph runtime.
-    """
-
    def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
        """Merge two runtimes together.

@@ -248,13 +196,9 @@ class Runtime(Generic[ContextT]):
            stream_writer=other.stream_writer
            if other.stream_writer is not _no_op_stream_writer
            else self.stream_writer,
-            heartbeat=other.heartbeat
-            if other.heartbeat is not _no_op_heartbeat
-            else self.heartbeat,
            previous=self.previous if other.previous is None else other.previous,
            execution_info=other.execution_info or self.execution_info,
            server_info=other.server_info or self.server_info,
-            control=other.control or self.control,
        )

    def override(
@@ -273,23 +217,13 @@ class Runtime(Generic[ContextT]):
            execution_info=self.execution_info.patch(**overrides),
        )

-    @property
-    def drain_requested(self) -> bool:
-        return self.control.drain_requested if self.control is not None else False
-
-    @property
-    def drain_reason(self) -> str | None:
-        return self.control.drain_reason if self.control is not None else None
-

 DEFAULT_RUNTIME = Runtime(
    context=None,
    store=None,
    stream_writer=_no_op_stream_writer,
-    heartbeat=_no_op_heartbeat,
    previous=None,
    execution_info=None,
-    control=None,
 )


@@ -1,45 +1,20 @@
 """Streaming infrastructure for LangGraph.

-Compile a graph with `transformers=[...]` and call `graph.stream_events(version="v3")` /
-`graph.astream_events(version="v3")` to drive a transformer pipeline that projects the
+Compile a graph with `transformers=[...]` and call `graph.stream_v2()` /
+`graph.astream_v2()` to drive a transformer pipeline that projects the
 graph's raw events into ergonomic per-channel streams.
 """

+from langgraph.stream._event_log import EventLog
 from langgraph.stream._types import ProtocolEvent, StreamTransformer
-from langgraph.stream.run_stream import (
-    AsyncGraphRunStream,
-    AsyncSubgraphRunStream,
-    GraphRunStream,
-    SubgraphRunStream,
-)
+from langgraph.stream.run_stream import AsyncGraphRunStream, GraphRunStream
 from langgraph.stream.stream_channel import StreamChannel
-from langgraph.stream.transformers import (
-    CheckpointsTransformer,
-    CustomTransformer,
-    DebugTransformer,
-    LifecyclePayload,
-    LifecycleTransformer,
-    SubgraphStatus,
-    SubgraphTransformer,
-    TasksTransformer,
-    UpdatesTransformer,
-)

 __all__ = [
    "AsyncGraphRunStream",
-    "AsyncSubgraphRunStream",
-    "CheckpointsTransformer",
-    "CustomTransformer",
-    "DebugTransformer",
+    "EventLog",
    "GraphRunStream",
-    "LifecyclePayload",
-    "LifecycleTransformer",
    "ProtocolEvent",
    "StreamChannel",
    "StreamTransformer",
-    "SubgraphRunStream",
-    "SubgraphStatus",
-    "SubgraphTransformer",
-    "TasksTransformer",
-    "UpdatesTransformer",
 ]
@@ -0,0 +1,318 @@
+from __future__ import annotations
+
+import asyncio
+from collections import deque
+from collections.abc import AsyncIterator, Awaitable, Callable, Iterator
+from typing import Generic, TypeVar
+
+T = TypeVar("T")
+
+
+class EventLog(Generic[T]):
+    """Single-consumer drainable queue for streaming events.
+
+    Items are popped off the front as the consumer advances — there is
+    no retention beyond what's currently queued. A log accepts exactly
+    one subscriber; a second `__iter__` / `__aiter__` call raises. Use
+    `tee(n)` / `atee(n)` for fan-out.
+
+    Starts unbound — neither `__iter__` nor `__aiter__` is available
+    until the StreamMux calls `_bind(is_async)`. After binding, only
+    the matching iteration protocol works; the other raises `TypeError`.
+
+    Pump wiring (set by the run stream, not by `_bind`):
+        - `_request_more`: sync pump callable, returns True if a new
+          event was produced.
+        - `_arequest_more`: async pump coroutine factory, same contract.
+
+    Memory is bounded by caller pace: both sync and async use caller-
+    driven pumps, so each cursor advance produces at most one event.
+    The only shape where a log can accumulate meaningfully is
+    concurrent async consumers at unequal rates — a slow consumer's
+    log grows while fast consumers drive the shared pump. That's the
+    documented tradeoff for concurrent consumption; consume at similar
+    rates or use a single consumer if memory matters.
+
+    Lazy-subscribe: `push` is a no-op when no subscriber has registered.
+    Transformers still execute `process()` (so scalar state like
+    `ValuesTransformer._latest` stays current); only the log append is
+    skipped.
+    """
+
+    def __init__(self, maxlen: int | None = None, *, retain: bool = False) -> None:
+        """Initialize an empty, unbound log.
+
+        Args:
+            maxlen: Accepted for forward compatibility; currently unused.
+                The caller-driven pump bounds memory naturally for
+                single-consumer use.
+            retain: If True, `push()` retains items regardless of whether
+                a consumer has subscribed yet. Used for projections
+                whose consumer only becomes visible after events have
+                already flowed (e.g. mini-mux logs inside dynamically
+                discovered subgraph handles, or the `lifecycle` channel
+                iterated after draining `values`). Subscription
+                exclusivity on `__iter__` is unchanged.
+
+        Raises:
+            ValueError: If `maxlen` is not a positive integer or `None`.
+        """
+        if maxlen is not None and maxlen <= 0:
+            raise ValueError("EventLog maxlen must be a positive int or None")
+        self._items: deque[T] = deque()
+        self._maxlen: int | None = maxlen
+        self._closed = False
+        self._error: BaseException | None = None
+
+        # Binding state — None means unbound.
+        self._is_async: bool | None = None
+
+        # Flipped on first __iter__ / __aiter__. Pre-subscription
+        # pushes are silent no-ops unless `_retain` is True.
+        self._subscribed = False
+        self._retain = retain
+
+        # Pump wiring set by the run stream after bind.
+        self._request_more: Callable[[], bool] | None = None
+        self._arequest_more: Callable[[], Awaitable[bool]] | None = None
+
+    # ------------------------------------------------------------------
+    # Binding
+    # ------------------------------------------------------------------
+
+    def _bind(self, *, is_async: bool) -> None:
+        """Bind this log to sync or async mode.
+
+        Called by the StreamMux after transformer registration. Must be
+        called exactly once before any iteration.
+
+        Args:
+            is_async: True to enable async iteration, False for sync.
+
+        Raises:
+            RuntimeError: If the log has already been bound.
+        """
+        if self._is_async is not None:
+            raise RuntimeError("EventLog is already bound")
+        self._is_async = is_async
+
+    # ------------------------------------------------------------------
+    # Producer API
+    # ------------------------------------------------------------------
+
+    def push(self, item: T) -> None:
+        """Append an item. No-op when no subscriber is registered.
+
+        Non-blocking in both sync and async — matches v1's
+        `put_nowait` producer shape. Memory is bounded by caller pace
+        via the caller-driven pump.
+
+        When `retain=True` was set at construction, items are appended
+        regardless of subscription — for projections whose consumer
+        only reaches them after events have already flowed.
+
+        Raises:
+            RuntimeError: If the log is closed (and subscribed).
+        """
+        if not self._subscribed and not self._retain:
+            return
+        if self._closed:
+            raise RuntimeError("Cannot push to a closed EventLog")
+        self._items.append(item)
+
+    def close(self) -> None:
+        """Mark the log as complete."""
+        self._closed = True
+
+    def fail(self, err: BaseException) -> None:
+        """Mark the log as errored.
+
+        Args:
+            err: The exception to surface to the subscriber.
+        """
+        self._error = err
+        self._closed = True
+
+    # ------------------------------------------------------------------
+    # Sync iteration (caller-driven pump)
+    # ------------------------------------------------------------------
+
+    def __iter__(self) -> Iterator[T]:
+        """Subscribe and return a sync cursor. Can be called only once.
+
+        Raises:
+            TypeError: If the log is unbound or bound to async mode.
+            RuntimeError: If the log already has a subscriber.
+        """
+        if self._is_async is None:
+            raise TypeError(
+                "EventLog has not been bound yet. "
+                "Register the transformer with a StreamMux first."
+            )
+        if self._is_async:
+            raise TypeError(
+                "This EventLog is bound to async mode — use 'async for' instead."
+            )
+        if self._subscribed:
+            raise RuntimeError(
+                "EventLog already has a subscriber; use .tee(n) for fan-out."
+            )
+        self._subscribed = True
+        return self._sync_cursor()
+
+    def _sync_cursor(self) -> Iterator[T]:
+        while True:
+            if self._items:
+                yield self._items.popleft()
+            elif self._closed:
+                if self._error is not None:
+                    raise self._error
+                return
+            elif self._request_more is not None:
+                if not self._request_more():
+                    if not self._items and not self._closed:
+                        return
+            else:
+                return
+
+    # ------------------------------------------------------------------
+    # Async iteration (caller-driven pump)
+    # ------------------------------------------------------------------
+
+    def __aiter__(self) -> AsyncIterator[T]:
+        """Subscribe and return an async cursor. Can be called only once.
+
+        Raises:
+            TypeError: If the log is unbound or bound to sync mode.
+            RuntimeError: If the log already has a subscriber.
+        """
+        if self._is_async is None:
+            raise TypeError(
+                "EventLog has not been bound yet. "
+                "Register the transformer with a StreamMux first."
+            )
+        if not self._is_async:
+            raise TypeError("This EventLog is bound to sync mode — use 'for' instead.")
+        if self._subscribed:
+            raise RuntimeError(
+                "EventLog already has a subscriber; use .atee(n) for fan-out."
+            )
+        self._subscribed = True
+        return self._async_cursor()
+
+    async def _async_cursor(self) -> AsyncIterator[T]:
+        while True:
+            if self._items:
+                yield self._items.popleft()
+            elif self._closed:
+                if self._error is not None:
+                    raise self._error
+                return
+            elif self._arequest_more is not None:
+                if not await self._arequest_more():
+                    if not self._items and not self._closed:
+                        return
+            else:
+                return
+
+    # ------------------------------------------------------------------
+    # Fan-out via tee
+    # ------------------------------------------------------------------
+
+    def tee(self, n: int = 2) -> tuple[Iterator[T], ...]:
+        """Subscribe and return `n` independent sync iterators.
+
+        Each branch has its own buffer; items pulled from the
+        underlying cursor are copied into every branch. Branches are
+        naturally bounded by caller pace since the sync pump is
+        caller-driven.
+
+        Args:
+            n: Number of branches to create. Must be >= 1.
+
+        Returns:
+            A tuple of `n` iterators over the same underlying stream.
+
+        Raises:
+            TypeError: If the log is unbound or bound to async mode.
+            RuntimeError: If the log already has a subscriber.
+            ValueError: If `n` < 1.
+        """
+        if n < 1:
+            raise ValueError("tee() requires n >= 1")
+        source = self.__iter__()
+        buffers: list[deque[T]] = [deque() for _ in range(n)]
+        exhausted = [False]
+
+        def branch(i: int) -> Iterator[T]:
+            buf = buffers[i]
+            while True:
+                if buf:
+                    yield buf.popleft()
+                elif exhausted[0]:
+                    return
+                else:
+                    try:
+                        item = next(source)
+                    except StopIteration:
+                        exhausted[0] = True
+                        return
+                    for b in buffers:
+                        b.append(item)
+
+        return tuple(branch(i) for i in range(n))
+
+    def atee(self, n: int = 2) -> tuple[AsyncIterator[T], ...]:
+        """Subscribe and return `n` independent async iterators.
+
+        Caller-driven fan-out: each branch's `__anext__` either pops
+        from its own buffer or, under a shared `asyncio.Lock`, pulls
+        one item from the underlying cursor and distributes it to
+        every branch's buffer.
+
+        Args:
+            n: Number of branches to create. Must be >= 1.
+
+        Returns:
+            A tuple of `n` async iterators over the same underlying
+            stream.
+
+        Raises:
+            TypeError: If the log is unbound or bound to sync mode.
+            RuntimeError: If the log already has a subscriber.
+            ValueError: If `n` < 1.
+        """
+        if n < 1:
+            raise ValueError("atee() requires n >= 1")
+        source = self.__aiter__()
+        buffers: list[deque[T]] = [deque() for _ in range(n)]
+        exhausted = [False]
+        error: list[BaseException | None] = [None]
+        lock = asyncio.Lock()
+
+        async def branch(i: int) -> AsyncIterator[T]:
+            buf = buffers[i]
+            while True:
+                if buf:
+                    yield buf.popleft()
+                    continue
+                if exhausted[0]:
+                    if error[0] is not None:
+                        raise error[0]
+                    return
+                async with lock:
+                    if buf or exhausted[0]:
+                        continue
+                    try:
+                        item = await source.__anext__()
+                    except StopAsyncIteration:
+                        exhausted[0] = True
+                        continue
+                    except Exception as e:
+                        error[0] = e
+                        exhausted[0] = True
+                        continue
+                    for b in buffers:
+                        b.append(item)
+
+        return tuple(branch(i) for i in range(n))
@@ -5,6 +5,7 @@ import time
 from collections.abc import Awaitable, Callable
 from typing import Any

+from langgraph.stream._event_log import EventLog
 from langgraph.stream._types import (
    ProtocolEvent,
    StreamTransformer,
@@ -15,11 +16,12 @@ from langgraph.stream.stream_channel import StreamChannel
 TransformerFactory = Callable[["tuple[str, ...]"], StreamTransformer]
 """Factory that builds a scoped transformer for a mux.

-Called once per `StreamMux` with the mux's scope (typically `()` for
-the root). Standard transformer classes accept a single positional
-scope argument, so the class itself is a valid factory. User
-transformers can close over their config:
-`lambda scope: MyTransformer(scope, foo=...)`.
+Called once per `StreamMux` (root or mini-mux) with the mux's scope
+— typically a subgraph's namespace or `()` for the root. Standard
+transformer classes (`ValuesTransformer`, `MessagesTransformer`,
+`SubgraphTransformer`) accept a single positional scope argument, so
+the class itself is a valid factory. User transformers can close over
+their config: `lambda scope: MyTransformer(scope, foo=...)`.
 """


@@ -27,15 +29,14 @@ class StreamMux:
    """Central event dispatcher for the streaming infrastructure.

    Owns the main event log and routes events through a transformer
-    pipeline. StreamChannels with a name discovered in transformer
-    projections are auto-wired so that every `push()` also injects a
-    `ProtocolEvent` into the main log. StreamChannels without a name
-    are local-only.
+    pipeline. StreamChannels discovered in transformer projections are
+    auto-wired so that every `push()` also injects a `ProtocolEvent`
+    into the main log.

    Pass `is_async=True` when the mux will be consumed via async
-    iteration (`handler.astream()`). All StreamChannel instances
-    discovered during registration are automatically bound to the
-    matching mode.
+    iteration (`handler.astream()`). All EventLog and StreamChannel
+    instances discovered during registration are automatically bound
+    to the matching mode.

    Attributes:
        extensions: Merged projection dict across all registered
@@ -52,103 +53,126 @@ class StreamMux:
        is_async: bool = False,
        factories: list[TransformerFactory] | None = None,
        scope: tuple[str, ...] = (),
-        _assign_seq: bool = True,
    ) -> None:
        """Initialize the mux and register transformers in order.

        Callers pass either `transformers` (pre-built instances) or
-        `factories` (callables producing fresh instances per mux). Each
-        transformer's `init()` is called, projections are merged into
-        `extensions`, `_native` keys are recorded in `native_keys`, and
-        any StreamChannel instances are bound and (if named) wired.
+        `factories` (callables producing fresh instances per mux). A
+        factory list is preferred — mini-muxes built by `make_child()`
+        inherit the factory list, so transformers propagate naturally
+        into every subgraph's scope. `transformers` is kept for
+        back-compat tests that exercise the mux directly.
+
+        Each transformer's `init()` is called once during registration,
+        projections are merged into `extensions`, `_native` keys are
+        recorded in `native_keys`, and any EventLog / StreamChannel
+        instances are bound and wired.

        Args:
-            transformers: Already-built transformer instances. Registered
-                only on this mux — they are NOT cloned into child
-                mini-muxes built by `_make_child`. Use `factories` for
-                transformers that should propagate to nested scopes.
+            transformers: Already-built transformer instances. Mutually
+                exclusive with `factories`.
            is_async: True for async dispatch (`apush` / `aclose` /
                `afail`), False for the sync path.
-            factories: One-argument callables `(scope) -> StreamTransformer`.
-                Called once with this mux's `scope` here, and cloned
-                again per child scope by `_make_child` so each
-                sub-mux gets fresh instances.
+            factories: Zero-or-one-argument callables producing
+                transformers. Called with this mux's `scope`.
            scope: The namespace the mux operates within. The root mux
-                is `()`.
-            _assign_seq: Internal flag for child muxes. Root muxes assign
-                monotonic `seq` numbers when appending to their main event
-                log; child muxes share forwarded event objects and must not
-                mutate their envelopes.
+                is `()`; mini-muxes for subgraphs use the subgraph's
+                namespace tuple.

        Raises:
            RuntimeError: If any transformer requires an async run but
                the mux is in sync mode.
            TypeError: If a transformer's `init()` doesn't return a dict.
-            ValueError: If transformers' projection keys collide.
+            ValueError: If transformers' projection keys collide, or if
+                both `transformers` and `factories` are supplied.
        """
-        self.is_async = is_async
+        if transformers is not None and factories is not None:
+            raise ValueError("Pass either `transformers` or `factories`, not both.")
+
+        self._is_async = is_async
+        self._factories: list[TransformerFactory] = list(factories or ())
        self.scope: tuple[str, ...] = scope
-        self._assign_seq = _assign_seq
-        self._events: StreamChannel[ProtocolEvent] = StreamChannel()
+        self._pump_fn: Callable[[], bool] | None = None
+        self._apump_fn: Callable[[], Awaitable[bool]] | None = None
+
+        self._events: EventLog[ProtocolEvent] = EventLog()
        self._events._bind(is_async=is_async)
-        self._events._bind_mux(self)
        self._transformers: list[StreamTransformer] = []
        self._channels: list[StreamChannel[Any]] = []
+        self._logs: list[EventLog[Any]] = []
        self._seq = 0
-        self._push_seq = 0

        self.extensions: dict[str, Any] = {}
        self.native_keys: set[str] = set()
        self._projection_owners: dict[str, str] = {}
        self._transformer_by_key: dict[str, StreamTransformer] = {}

-        # Stored only when constructed from factories — used by
-        # `_make_child` to clone the transformer pipeline at a deeper
-        # scope. Pre-built transformers can't be cloned, so a mux
-        # built with `transformers=` rejects child construction.
-        self._factories: list[TransformerFactory] | None = (
-            list(factories) if factories is not None else None
-        )
-        self._pump_fn: Callable[[], bool] | None = None
-        self._apump_fn: Callable[[], Awaitable[bool]] | None = None
-
-        # Factories run first (they propagate to child mini-muxes
-        # via `_make_child`), then any pre-built `transformers=`
-        # instances are registered as root-only — they aren't cloned
-        # for child scopes.
        if factories is not None:
            for factory in factories:
                self._register(factory(scope))
-        for transformer in transformers or ():
-            self._register(transformer)
+        else:
+            for transformer in transformers or ():
+                self._register(transformer)

-    def transformer_by_key(self, key: str) -> StreamTransformer | None:
-        """Return the transformer that contributed `key` to the projection."""
-        return self._transformer_by_key.get(key)
+    def make_child(self, scope: tuple[str, ...]) -> StreamMux:
+        """Build a mini-mux with the same factories scoped to `scope`.

-    def _next_push_seq(self) -> int:
-        self._push_seq += 1
-        return self._push_seq
+        Used by `SubgraphTransformer` to attach a fresh transformer
+        pipeline to each discovered subgraph handle. The child mux
+        inherits the current pump binding (so cursors on its projection
+        logs drive the root pump) and carries the same factory list
+        forward to any grandchild subgraphs.

-    # ------------------------------------------------------------------
-    # Pump wiring + mini-mux nesting
-    # ------------------------------------------------------------------
+        Raises:
+            RuntimeError: If the mux was not built from a factory list
+                (i.e., constructed with `transformers=`). Mini-muxes
+                require factories so each scope gets its own fresh
+                transformer instances.
+        """
+        if not self._factories:
+            raise RuntimeError(
+                "StreamMux.make_child requires the mux to be constructed "
+                "with factories; pre-built transformers can't be cloned "
+                "to a new scope."
+            )
+        child = StreamMux(
+            factories=self._factories,
+            is_async=self._is_async,
+            scope=scope,
+        )
+        # Mini-muxes are created during the pump, after the first
+        # event at the child's scope has already been dispatched.
+        # Consumers reach child projections via the parent's
+        # `subgraphs` handle — necessarily after that first event.
+        # Flip retain on every log and channel so pushes are buffered
+        # until the consumer subscribes.
+        child._events._retain = True
+        for value in child.extensions.values():
+            if isinstance(value, EventLog):
+                value._retain = True
+            elif isinstance(value, StreamChannel):
+                value._log._retain = True
+        if self._pump_fn is not None:
+            child.bind_pump(self._pump_fn)
+        if self._apump_fn is not None:
+            child.bind_apump(self._apump_fn)
+        return child

    def bind_pump(self, fn: Callable[[], bool]) -> None:
-        """Wire the sync pull callback onto every projection in this mux.
+        """Wire the sync pull callback onto every EventLog in the mux.

-        Records the pump on the mux so child mini-muxes built by
-        `_make_child` can inherit it. Propagates to:
-        - the main event log (`self._events`)
-        - every projection StreamChannel in `extensions`
-        - any registered transformer that exposes `_bind_pump` (e.g.
-          `MessagesTransformer` so `ChatModelStream` instances drive the
-          shared pump from their cursors)
+        Also propagates to transformers that expose `_bind_pump` so
+        nested handles (e.g., `ChatModelStream` instances produced by
+        `MessagesTransformer`) can drive the graph pump from their
+        projection cursors.
        """
        self._pump_fn = fn
        self._events._request_more = fn
-        for ch in self._channels:
-            ch._request_more = fn
+        for value in self.extensions.values():
+            if isinstance(value, EventLog):
+                value._request_more = fn
+            elif isinstance(value, StreamChannel):
+                value._log._request_more = fn
        for transformer in self._transformers:
            bind = getattr(transformer, "_bind_pump", None)
            if bind is not None:
@@ -158,55 +182,24 @@ class StreamMux:
        """Async counterpart to `bind_pump`."""
        self._apump_fn = fn
        self._events._arequest_more = fn
-        for ch in self._channels:
-            ch._arequest_more = fn
+        for value in self.extensions.values():
+            if isinstance(value, EventLog):
+                value._arequest_more = fn
+            elif isinstance(value, StreamChannel):
+                value._log._arequest_more = fn
        for transformer in self._transformers:
            abind = getattr(transformer, "_bind_apump", None)
            if abind is not None:
                abind(fn)

-    def _make_child(self, scope: tuple[str, ...]) -> StreamMux:
-        """Build a mini-mux with the same factories scoped to `scope`.
-
-        Used by `SubgraphTransformer` to attach a fresh transformer
-        pipeline to each discovered subgraph handle. The child mux
-        inherits the current pump bindings (so cursors on its
-        projection logs drive the root pump), carries the same factory
-        list forward to any grandchild subgraphs, and does not assign
-        `seq` numbers so forwarded events can be shared without
-        mutating their envelope.
-
-        Raises:
-            RuntimeError: If the mux was not constructed with
-                `factories=`. Mini-muxes require factories so each scope
-                gets its own fresh transformer instances.
-        """
-        if self._factories is None:
-            raise RuntimeError(
-                "StreamMux._make_child requires the mux to be constructed "
-                "with `factories=`; pre-built transformers can't be "
-                "cloned to a new scope."
-            )
-        child = StreamMux(
-            factories=self._factories,
-            is_async=self.is_async,
-            scope=scope,
-            _assign_seq=False,
-        )
-        if self._pump_fn is not None:
-            child.bind_pump(self._pump_fn)
-        if self._apump_fn is not None:
-            child.bind_apump(self._apump_fn)
-        return child
-
    def _register(self, transformer: StreamTransformer) -> None:
        """Register a single transformer.

        Calls `transformer.init()`, stores the transformer for event
-        processing, binds any StreamChannel instances in the projection,
-        and merges the projection into `extensions`.
+        processing, binds any EventLog or StreamChannel instances in
+        the projection, and merges the projection into `extensions`.
        """
-        if transformer_requires_async(transformer) and not self.is_async:
+        if transformer_requires_async(transformer) and not self._is_async:
            raise RuntimeError(
                f"{type(transformer).__name__} requires an async run — "
                "it overrides aprocess/afinalize/afail or sets "
@@ -229,9 +222,9 @@ class StreamMux:
                f"projection keys that conflict with already-registered "
                f"keys: {attributions}"
            )
-        is_native = bool(getattr(transformer, "_native", False))
        self._transformers.append(transformer)
-        self._bind_and_wire(projection, native=is_native)
+        is_native = bool(getattr(transformer, "_native", False))
+        self._bind_and_wire(projection, is_native=is_native)
        self.extensions.update(projection)
        owner_name = type(transformer).__name__
        for key in projection:
@@ -239,46 +232,59 @@ class StreamMux:
            self._transformer_by_key[key] = transformer
        if is_native:
            self.native_keys.update(projection.keys())
-        transformer._on_register(self)
+        on_register = getattr(transformer, "_on_register", None)
+        if on_register is not None:
+            on_register(self)
+
+    def transformer_by_key(self, key: str) -> StreamTransformer | None:
+        """Return the transformer that owns the projection at `key`, if any."""
+        return self._transformer_by_key.get(key)

    def push(self, event: ProtocolEvent) -> None:
        """Route an event through all transformers, then append to the main log.

-        Each transformer's `process()` is called in registration order.
+        Each transformer's `process()` is called in registration order
+        — except when the transformer has `scope_exact = True` (the
+        default) and the event's namespace differs from the mux's
+        `scope`, in which case the transformer is skipped. Transformers
+        that need to see cross-scope events opt out by setting
+        `scope_exact = False` (e.g. `SubgraphTransformer`).
+
        If any transformer returns False, the event is suppressed from
        the main log, but transformers that already saw it keep their
        side effects.

-        On the root mux, `seq` is assigned right before an event enters
-        the main log, not before the transformer pipeline runs. This
-        ensures that events auto-forwarded from StreamChannels during
-        `process()` get earlier seq numbers than the original event,
-        preserving monotonic ordering in the root log. Child muxes do
-        not assign `seq`, so subgraph forwarding can share event objects
-        without mutating their envelopes.
+        Seq is assigned right before an event enters the main log, not
+        before the transformer pipeline runs. This ensures that events
+        auto-forwarded from StreamChannels during `process()` get
+        earlier seq numbers than the original event, preserving
+        monotonic ordering in the log.

        Args:
            event: The protocol event to dispatch.
        """
+        ns = tuple(event["params"]["namespace"])
+        in_scope = ns == self.scope
        keep = True
        for transformer in self._transformers:
+            if transformer.scope_exact and not in_scope:
+                continue
            if not transformer.process(event):
                keep = False
        if keep:
-            if self._assign_seq:
-                self._seq += 1
-                event["seq"] = self._seq
+            self._seq += 1
+            event["seq"] = self._seq
            self._events.push(event)

    def close(self) -> None:
        """Finalize all transformers, close all projections and the main log.

-        StreamChannels discovered in transformer projections are
-        auto-closed after `finalize()` runs — transformers don't need
-        to close them manually. If any transformer's `finalize()` raises,
-        the remaining transformers, projections, and the main log are
-        still closed; the first error is re-raised after cleanup
-        completes.
+        EventLogs and StreamChannels discovered in transformer
+        projections are auto-closed after `finalize()` runs —
+        transformers don't need to close them manually. If any
+        transformer's `finalize()` raises, the remaining transformers,
+        projections, and the main log are still closed; the first error
+        is re-raised after cleanup completes.

        Raises:
            BaseException: The first error raised by a transformer's
@@ -291,9 +297,12 @@ class StreamMux:
            except BaseException as e:
                if first_error is None:
                    first_error = e
+        for log in self._logs:
+            if not log._closed:
+                log.close()
        for ch in self._channels:
-            if not ch._closed:
-                ch.close()
+            if not ch._log._closed:
+                ch._close()
        self._events.close()
        if first_error is not None:
            raise first_error
@@ -301,10 +310,11 @@ class StreamMux:
    def fail(self, err: BaseException) -> None:
        """Fail all transformers, projections, and the main log.

-        StreamChannels discovered in transformer projections are
-        auto-failed — transformers don't need to fail them manually.
-        If any transformer's `fail()` raises, the remaining
-        transformers, projections, and the main log are still failed.
+        EventLogs and StreamChannels discovered in transformer
+        projections are auto-failed — transformers don't need to fail
+        them manually. If any transformer's `fail()` raises, the
+        remaining transformers, projections, and the main log are still
+        failed.

        Args:
            err: The exception that ended the run.
@@ -314,9 +324,12 @@ class StreamMux:
                transformer.fail(err)
            except BaseException:
                pass
+        for log in self._logs:
+            if not log._closed:
+                log.fail(err)
        for ch in self._channels:
-            if not ch._closed:
-                ch.fail(err)
+            if not ch._log._closed:
+                ch._fail(err)
        self._events.fail(err)

    # ------------------------------------------------------------------
@@ -327,29 +340,32 @@ class StreamMux:
        """Dispatch an event on the async lane.

        Awaits each transformer's `aprocess` in registration order
-        before appending to the main log. A slow `aprocess` serializes
-        the pipeline by design — that's the guarantee that lets a later
-        transformer (or a synchronous consumer) see the result of the
-        async work. For decoupled work, use `schedule()` from inside
-        `process` / `aprocess` instead.
+        before appending to the main log — except when the transformer
+        has `scope_exact = True` and the event's namespace differs from
+        `self.scope`, in which case it is skipped. A slow `aprocess`
+        serializes the pipeline by design — that's the guarantee that
+        lets a later transformer (or a synchronous consumer) see the
+        result of the async work. For decoupled work, use `schedule()`
+        from inside `process` / `aprocess` instead.

        The main log append is a non-blocking `push` — matching v1's
-        `put_nowait` shape. The root mux assigns `seq`; child muxes do
-        not, so forwarded subgraph events can be shared without copying.
-        Memory is bounded by caller pace via the caller-driven pump; see
-        `StreamChannel` for the full tradeoff story.
+        `put_nowait` shape. Memory is bounded by caller pace via the
+        caller-driven pump; see `EventLog` for the full tradeoff story.

        Args:
            event: The protocol event to dispatch.
        """
+        ns = tuple(event["params"]["namespace"])
+        in_scope = ns == self.scope
        keep = True
        for transformer in self._transformers:
+            if transformer.scope_exact and not in_scope:
+                continue
            if not await transformer.aprocess(event):
                keep = False
        if keep:
-            if self._assign_seq:
-                self._seq += 1
-                event["seq"] = self._seq
+            self._seq += 1
+            event["seq"] = self._seq
            self._events.push(event)

    async def aclose(self) -> None:
@@ -357,7 +373,7 @@ class StreamMux:

        Awaits every task started via `StreamTransformer.schedule()`
        across all transformers, then calls `afinalize()` on each,
-        then auto-closes channels and the main event log.
+        then auto-closes logs, channels, and the main event log.

        If any scheduled task raised under `on_error="raise"`, or any
        transformer's `afinalize` raises, the exception propagates.
@@ -389,9 +405,12 @@ class StreamMux:
            except BaseException as e:
                if first_error is None:
                    first_error = e
+        for log in self._logs:
+            if not log._closed:
+                log.close()
        for ch in self._channels:
-            if not ch._closed:
-                ch.close()
+            if not ch._log._closed:
+                ch._close()
        self._events.close()
        if first_error is not None:
            raise first_error
@@ -401,7 +420,7 @@ class StreamMux:

        Cancels every scheduled task across all transformers, awaits
        them to completion, then runs each transformer's `afail` hook
-        and auto-fails channels and the main event log.
+        and auto-fails logs, channels, and the main event log.

        Args:
            err: The exception that ended the run.
@@ -417,9 +436,12 @@ class StreamMux:
                await transformer.afail(err)
            except BaseException:
                pass
+        for log in self._logs:
+            if not log._closed:
+                log.fail(err)
        for ch in self._channels:
-            if not ch._closed:
-                ch.fail(err)
+            if not ch._log._closed:
+                ch._fail(err)
        if not self._events._closed:
            self._events.fail(err)

@@ -437,54 +459,51 @@ class StreamMux:
    # ------------------------------------------------------------------

    def _bind_and_wire(
-        self, projection: dict[str, Any], *, native: bool = False
+        self, projection: dict[str, Any], *, is_native: bool = False
    ) -> None:
-        """Bind and optionally wire StreamChannel instances in a projection.
+        """Bind and wire EventLog / StreamChannel instances in a projection.

-        All StreamChannels are bound and tracked. Channels with a name
-        are additionally wired for protocol auto-forwarding.
-
-        Args:
-            projection: The projection dict returned by a transformer's
-                `init()`.
-            native: True when the owning transformer is `_native`.
-                Named channels owned by a native transformer use the
-                channel name directly as the protocol method;
-                user-defined channels are prefixed with `custom:`.
+        `is_native` controls wire naming: native transformer channels
+        emit events with `method` equal to the channel name, while
+        non-native channels get a `custom:` prefix to keep user-defined
+        projections from colliding with built-in method names.
        """
        for value in projection.values():
            if isinstance(value, StreamChannel):
-                value._bind(is_async=self.is_async)
-                value._bind_mux(self)
+                value._bind(is_async=self._is_async)
                self._channels.append(value)
-                if value.name is not None:
-                    method = value.name if native else f"custom:{value.name}"
+                channel_name = value.name

-                    def _make_forward(method_name: str) -> Callable[[Any], None]:
-                        def _forward(item: Any) -> None:
-                            self._forward(method_name, item)
+                def _make_forward(name: str, native: bool) -> Callable[[Any], None]:
+                    def _forward(item: Any) -> None:
+                        self._forward(name, item, native=native)

-                        return _forward
+                    return _forward

-                    value._wire(_make_forward(method))
+                value._wire(_make_forward(channel_name, is_native))
+            elif isinstance(value, EventLog):
+                value._bind(is_async=self._is_async)
+                self._logs.append(value)

-    def _forward(self, method: str, item: Any) -> None:
+    def _forward(self, channel_name: str, item: Any, *, native: bool) -> None:
        """Inject a ProtocolEvent for a StreamChannel push.

        Forwarded events bypass the transformer pipeline to avoid
        infinite recursion (a transformer that pushes to a channel
        during `process()` would re-trigger itself). These events are
-        visible in this mux's main event log but are not passed through
-        transformers' `process()` methods. Only the root mux assigns
-        `seq` to forwarded channel events.
+        visible in the main event log but are not passed through
+        transformers' `process()` methods.

-        Args:
-            method: The full protocol method (already with or without
-                the `custom:` prefix; resolved by `_bind_and_wire`).
-            item: The payload pushed onto the channel.
+        Native transformers emit with `method` equal to the channel
+        name (e.g. `"lifecycle"`); non-native transformers get a
+        `custom:` prefix so user-defined projections can't collide
+        with built-in method names.
        """
+        self._seq += 1
+        method = channel_name if native else f"custom:{channel_name}"
        event: ProtocolEvent = {
            "type": "event",
+            "seq": self._seq,
            "method": method,
            "params": {
                "namespace": [],
@@ -492,7 +511,4 @@ class StreamMux:
                "data": item,
            },
        }
-        if self._assign_seq:
-            self._seq += 1
-            event["seq"] = self._seq
        self._events.push(event)
@@ -29,8 +29,8 @@ class ProtocolEvent(TypedDict):
    """A protocol event emitted by the streaming infrastructure.

    Wraps a raw stream part (values, messages, custom, etc.) in a uniform
-    envelope with a monotonic sequence number assigned by the root StreamMux.
-    Consumers that need a total order across root events should use `seq`, not
+    envelope with a monotonic sequence number assigned by the StreamMux.
+    Consumers that need a total order across events should use `seq`, not
    `params.timestamp` (which is wall-clock and not monotonic).
    """

@@ -45,7 +45,8 @@ class StreamTransformer(ABC):
    """Extension point for custom stream projections.

    Transformers observe protocol events flowing through the StreamMux and
-    build typed derived projections (StreamChannels, promises, etc.).
+    build typed derived projections (EventLogs, StreamChannels, promises,
+    etc.).

    Set `_native = True` on a transformer to have its projection keys
    exposed as direct attributes on the run stream (in addition to
@@ -54,9 +55,9 @@ class StreamTransformer(ABC):
    Subclasses must implement `init` and override at least one of
    `process` / `aprocess`. The `finalize` / `afinalize` and `fail` /
    `afail` hooks are optional — the default implementations are no-ops.
-    StreamChannel instances in the projection dict are auto-closed /
-    auto-failed by the mux, so most transformers don't need `finalize`
-    or `fail` at all.
+    EventLog and StreamChannel instances in the projection dict are
+    auto-closed / auto-failed by the mux, so most transformers don't
+    need `finalize` or `fail` at all.

    Transformers that need async work pick the async lane by:

@@ -75,35 +76,37 @@ class StreamTransformer(ABC):

    Attributes:
        scope: Namespace the transformer operates within — `()` for the
-            root mux. Set at construction from the mux's scope (each
-            factory is called as `factory(scope)`).
+            root mux, a subgraph's namespace tuple inside a mini-mux.
+            Set at construction from the mux's scope (each factory is
+            called as `factory(scope)`). Transformers that only care
+            about events at their own namespace compare against
+            `self.scope`; subgraph-aware transformers can treat it as
+            a parent path.
+        scope_exact: If True (the default), the mux only calls
+            `process` / `aprocess` for events whose namespace equals
+            `self.scope` — user transformers get scope-scoped events
+            for free with no boilerplate. Set False for transformers
+            that need to see events across scopes (e.g.
+            `SubgraphTransformer` forwards deeper events into child
+            mini-muxes).
        requires_async: Explicit opt-in for transformers that need a
            running event loop but don't override any async method (for
            example, transformers that call `schedule()` from a sync
            `process`). The mux also auto-detects the async lane when
            `aprocess`, `afinalize`, or `afail` is overridden.
-        supports_sync: Set True only for transformers that override
-            async-lane hooks while still fully supporting the sync lane.
-            Such transformers may be registered under `stream()`.
-        required_stream_modes: Stream modes the graph must emit for
-            this transformer to have anything to process. Computed as
-            the union across all registered transformers to determine
-            which modes a `stream_events(version="v3")` run requests from the graph.
-            Empty tuple means the transformer consumes only synthetic
-            events (or is purely passive).
    """

    requires_async: ClassVar[bool] = False
-    supports_sync: ClassVar[bool] = False
-    required_stream_modes: ClassVar[tuple[str, ...]] = ()
+    scope_exact: ClassVar[bool] = True

    def __init__(self, scope: tuple[str, ...] = ()) -> None:
        """Initialize the transformer with its mux's scope.

        Args:
            scope: The namespace tuple the owning mux is scoped to.
-                `()` for the root. Factories receive this at
-                construction time (`factory(scope)` in `StreamMux`).
+                `()` for the root, the subgraph's namespace inside a
+                mini-mux. Factories receive this at construction time
+                (`factory(scope)` in `StreamMux`).
        """
        self.scope: tuple[str, ...] = scope

@@ -120,14 +123,6 @@ class StreamTransformer(ABC):
        """
        ...

-    def _on_register(self, mux: Any) -> None:
-        """Called by `StreamMux._register` after this transformer is wired in.
-
-        Default is a no-op. Override to capture a reference to the
-        owning mux — needed for transformers that build mini-muxes
-        via `mux._make_child(...)` (e.g. `SubgraphTransformer`).
-        """
-
    def process(self, event: ProtocolEvent) -> bool:
        """Handle an event on the sync lane.

@@ -169,16 +164,15 @@ class StreamTransformer(ABC):
    def finalize(self) -> None:
        """Called when the run ends normally (sync lane).

-        Override to close StreamChannels, resolve promises, or perform
-        other teardown. StreamChannel instances in the projection dict
-        are auto-closed by the mux.
+        Override to close EventLogs, resolve promises, or perform other
+        teardown. StreamChannel instances are auto-closed by the mux.
        """

    async def afinalize(self) -> None:
        """Called when the run ends normally (async lane).

        By the time this runs, the mux has already awaited every task
-        started via `schedule()`, so StreamChannels can be closed here
+        started via `schedule()`, so EventLogs can be closed here
        without a last-task-wins race.

        The default delegates to `finalize`.
@@ -188,9 +182,8 @@ class StreamTransformer(ABC):
    def fail(self, err: BaseException) -> None:
        """Called when the run ends with an error (sync lane).

-        Override to fail StreamChannels, reject promises, or perform
-        other teardown. StreamChannel instances in the projection dict
-        are auto-failed by the mux.
+        Override to fail EventLogs, reject promises, or perform other
+        teardown. StreamChannel instances are auto-failed by the mux.

        Args:
            err: The exception that ended the run.
@@ -293,8 +286,7 @@ def transformer_requires_async(transformer: StreamTransformer) -> bool:

    A transformer requires async if it explicitly opts in
    (`requires_async = True`) or overrides any of the async-lane methods
-    (`aprocess`, `afinalize`, `afail`) without also declaring that it
-    supports the sync lane.
+    (`aprocess`, `afinalize`, `afail`).

    Args:
        transformer: The transformer to inspect.
@@ -304,8 +296,6 @@ def transformer_requires_async(transformer: StreamTransformer) -> bool:
    """
    if transformer.requires_async:
        return True
-    if transformer.supports_sync:
-        return False
    cls = type(transformer)
    for name in ("aprocess", "afinalize", "afail"):
        if getattr(cls, name) is not getattr(StreamTransformer, name):
@@ -5,14 +5,12 @@ from collections.abc import AsyncIterator, Awaitable, Callable, Iterator, Mappin
 from types import MappingProxyType, TracebackType
 from typing import TYPE_CHECKING, Any

-from langchain_core._api import beta
-
 from langgraph.stream._convert import convert_to_protocol_event
 from langgraph.stream._mux import StreamMux
 from langgraph.stream._types import ProtocolEvent

 if TYPE_CHECKING:
-    from langgraph.stream.transformers import SubgraphStatus
+    from langgraph.stream.transformers import ValuesTransformer


 def _drive_until_done(pump: Callable[[], bool]) -> None:
@@ -27,8 +25,115 @@ async def _adrive_until_done(pump: Callable[[], Awaitable[bool]]) -> None:
        pass


-@beta(message="The v3 streaming protocol on Pregel is experimental.")
-class GraphRunStream:
+class BaseRunStream:
+    """Shared shape for any object that wraps a `StreamMux`.
+
+    Root (`GraphRunStream` / `AsyncGraphRunStream`) and scoped
+    (`SubgraphRunStream`) streams both compose a `StreamMux`. The mux
+    owns the projections — `values`, `messages`, `subgraphs`, and any
+    user-registered keys — all exposed via `extensions`. Native
+    projections (`_native = True`) are also bound as direct attributes
+    (`run.values`, `run.messages`, …) for ergonomics.
+
+    Raw iteration (`for event in run` / `async for event in run`) and
+    the `interleave(...)` helper both live here so every subclass
+    behaves consistently. Subclasses only add pump ownership, scope
+    metadata, or sync/async flavor.
+    """
+
+    def __init__(self, mux: StreamMux) -> None:
+        self._mux = mux
+        self.extensions: Mapping[str, Any] = MappingProxyType(mux.extensions)
+        for key in mux.native_keys:
+            setattr(self, key, mux.extensions[key])
+
+    @property
+    def _values_transformer(self) -> ValuesTransformer:
+        """Look up the `ValuesTransformer` registered on this mux.
+
+        `output` / `interrupted` / `interrupts` need scalar state from
+        the `ValuesTransformer` without threading it through the
+        constructor. Raises if none is registered — `stream_v2` /
+        `astream_v2` always register one, so hitting this path means
+        the caller assembled the mux themselves and forgot.
+        """
+        from langgraph.stream.transformers import ValuesTransformer
+
+        for t in self._mux._transformers:
+            if isinstance(t, ValuesTransformer):
+                return t
+        raise RuntimeError(
+            "No ValuesTransformer is registered on this mux — "
+            "`output` / `interrupted` / `interrupts` are unavailable."
+        )
+
+    def __iter__(self) -> Iterator[ProtocolEvent]:
+        """Sync iteration of protocol events on this mux's main log.
+
+        Raises at the EventLog level if the mux is async-bound.
+        """
+        return iter(self._mux._events)
+
+    def __aiter__(self) -> AsyncIterator[ProtocolEvent]:
+        """Async iteration of protocol events on this mux's main log.
+
+        Raises at the EventLog level if the mux is sync-bound.
+        """
+        return self._mux._events.__aiter__()
+
+    def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
+        """Iterate multiple projections round-robin, yielding ``(name, item)``.
+
+        Each turn advances one projection's cursor; when a cursor's
+        buffer is empty, pulling from it drives the pump once, which
+        fans out to every subscribed projection log. Projections whose
+        items aren't consumed on this turn sit in their own buffers
+        only until the next turn reaches them, bounding memory by the
+        skew between projection rates rather than letting any single
+        log grow to the full run length.
+
+        Projections are exhausted independently; a projection that
+        finishes early drops out of the rotation while others
+        continue. The overall iterator ends once all named projections
+        are done.
+
+        Args:
+            *names: Projection keys to interleave. Must match keys in
+                `extensions`.
+
+        Yields:
+            `(name, item)` tuples in round-robin order across the named
+            projections.
+
+        Raises:
+            KeyError: If a name doesn't match a registered projection.
+
+        Example:
+            ```python
+            for name, item in run.interleave("messages", "values"):
+                if name == "messages":
+                    print("msg:", item)
+                else:
+                    print("val:", item)
+            ```
+        """
+        cursors: dict[str, Iterator[Any]] = {
+            name: iter(self.extensions[name]) for name in names
+        }
+        done: set[str] = set()
+        while len(done) < len(cursors):
+            for name, cursor in cursors.items():
+                if name in done:
+                    continue
+                try:
+                    item = next(cursor)
+                except StopIteration:
+                    done.add(name)
+                    continue
+                yield (name, item)
+
+
+class GraphRunStream(BaseRunStream):
    """Sync run stream with caller-driven pumping.

    The caller's iteration on any projection (`values`, `messages`,
@@ -37,89 +142,37 @@ class GraphRunStream:

    Projections are single-consumer — iterating `run.values` twice
    raises. Use `projection.tee(n)` if you genuinely need fan-out.
-
-    All transformer projections live in `extensions`. Native transformer
-    projections (those with `_native = True`) are also set as direct
-    attributes on this instance (e.g. `run.values`, `run.messages`).
-
-    !!! warning
-
-        Returned by `Pregel.stream_events(version="v3")`, which is
-        experimental and may change.
    """

    def __init__(
        self,
-        graph_iter: Iterator[Any] | None,
+        graph_iter: Iterator[Any],
        mux: StreamMux,
-        *,
-        wire_pump: bool = True,
    ) -> None:
        """Initialize the run stream.

        Args:
-            graph_iter: Pull-based iterator over the graph's stream,
-                or `None` for nested run streams whose pump is driven
-                by an outer run (e.g. `SubgraphRunStream`).
+            graph_iter: Pull-based iterator over the graph's stream.
            mux: The StreamMux owning projections and the main log.
-            wire_pump: When True (default), bind `_pump_next` as the
-                mux's pump callable. Subclasses that inherit a parent
-                pump via `StreamMux._make_child` should pass False to
-                preserve the parent binding.
+                Must have a `ValuesTransformer` registered for
+                `output` / `interrupted` / `interrupts` to work.
        """
+        super().__init__(mux)
        self._graph_iter = graph_iter
-        self._mux = mux
-        self.extensions: Mapping[str, Any] = MappingProxyType(mux.extensions)
        self._exhausted = False
-        self._latest: dict[str, Any] | None = None
-        self._interrupted = False
-        self._interrupts: list[Any] = []
-        self._scope_list: list[str] = list(mux.scope)
-        for key in mux.native_keys:
-            setattr(self, key, mux.extensions[key])
-        if wire_pump:
-            self._wire_request_more(mux)
-
-    def _wire_request_more(self, mux: StreamMux) -> None:
-        """Wire the sync pull callback through the mux.
-
-        Routing through `mux.bind_pump` (rather than walking
-        projections directly here) lets child mini-muxes built by
-        `mux._make_child(...)` inherit the same pump callable, so
-        cursors on a subgraph handle's projections drive the root
-        pump just like cursors on `run.values` do.
-        """
        mux.bind_pump(self._pump_next)

-    def _observe_event(self, event: ProtocolEvent) -> None:
-        """Track values-event state for output/interrupted/interrupts."""
-        if event["method"] != "values":
-            return
-        params = event["params"]
-        if params["namespace"] != self._scope_list:
-            return
-        self._latest = params["data"]
-        interrupts = params.get("interrupts", ())
-        if interrupts:
-            self._interrupted = True
-            self._interrupts.extend(interrupts)
-
    def _pump_next(self) -> bool:
        """Pull one event from the graph and push it through the mux.

        Returns:
-            True if an event was pulled, False if the graph is exhausted
-            or has raised. Always False when constructed with
-            `graph_iter=None` (the run is driven by an outer pump).
+            True if an event was pulled, False if the graph is
+            exhausted or has raised.
        """
-        if self._exhausted or self._graph_iter is None:
+        if self._exhausted:
            return False
        try:
            part = next(self._graph_iter)
-            event = convert_to_protocol_event(part)
-            self._observe_event(event)
-            self._mux.push(event)
-            return True
        except StopIteration:
            self._mux.close()
            self._exhausted = True
@@ -128,6 +181,8 @@ class GraphRunStream:
            self._mux.fail(e)
            self._exhausted = True
            return False
+        self._mux.push(convert_to_protocol_event(part))
+        return True

    def abort(self) -> None:
        """Stop the run early.
@@ -159,22 +214,23 @@ class GraphRunStream:
    def output(self) -> dict[str, Any] | None:
        """Drive the run to completion and return the final state."""
        _drive_until_done(self._pump_next)
-        if (err := self._mux._events._error) is not None:
+        err = self._values_transformer.error
+        if err is not None:
            raise err
-        return self._latest
+        return self._values_transformer._latest

    @property
    def interrupted(self) -> bool:
-        """Drive the run to completion, then return whether it was
-        interrupted.
+        """Drive the run to completion, then return whether it was interrupted.

        Raises:
            BaseException: If the run ended with an error.
        """
        _drive_until_done(self._pump_next)
-        if (err := self._mux._events._error) is not None:
+        err = self._values_transformer.error
+        if err is not None:
            raise err
-        return self._interrupted
+        return self._values_transformer._interrupted

    @property
    def interrupts(self) -> list[Any]:
@@ -184,122 +240,22 @@ class GraphRunStream:
            BaseException: If the run ended with an error.
        """
        _drive_until_done(self._pump_next)
-        if (err := self._mux._events._error) is not None:
+        err = self._values_transformer.error
+        if err is not None:
            raise err
-        return self._interrupts
-
-    def __iter__(self) -> Iterator[ProtocolEvent]:
-        """Subscribe to the main event log and iterate protocol events."""
-        return iter(self._mux._events)
-
-    def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
-        """Iterate multiple projections in arrival order, yielding ``(name, item)``.
-
-        Items are ordered by a monotonic push stamp assigned when each
-        transformer pushes into its `StreamChannel`. This gives strict
-        arrival ordering across projections, unlike round-robin.
-
-        Args:
-            *names: Projection keys to interleave. Must match keys in
-                ``extensions``.
-
-        Yields:
-            ``(name, item)`` tuples in arrival order across the named
-            projections.
-
-        Each named channel is locked for the duration of iteration and
-        released when the generator completes, is closed, or raises.
-        Channels cannot be subscribed concurrently — use `.tee(n)` if
-        you need fan-out.
-
-        Raises:
-            KeyError: If a name doesn't match a registered projection.
-
-        Example:
-            ```python
-            for name, item in run.interleave("messages", "values"):
-                if name == "messages":
-                    print("msg:", item)
-                else:
-                    print("val:", item)
-            ```
-        """
-        from langgraph.stream.stream_channel import StreamChannel
-
-        channels: dict[str, StreamChannel[Any]] = {}
-        try:
-            for name in names:
-                ch = self.extensions[name]
-                if not isinstance(ch, StreamChannel):
-                    raise TypeError(
-                        f"interleave() requires StreamChannel projections, "
-                        f"got {type(ch).__name__} for {name!r}"
-                    )
-                if ch._is_async is None:
-                    raise TypeError(
-                        f"StreamChannel {name!r} has not been bound yet. "
-                        "Register the transformer with a StreamMux first."
-                    )
-                if ch._is_async:
-                    raise TypeError(
-                        f"StreamChannel {name!r} is bound to async mode — "
-                        "sync interleave() cannot consume async channels."
-                    )
-                if ch._subscribed:
-                    raise RuntimeError(
-                        f"StreamChannel {name!r} already has a subscriber; "
-                        "use .tee(n) for fan-out."
-                    )
-                ch._subscribed = True
-                channels[name] = ch
-
-            done: set[str] = set()
-
-            while len(done) < len(channels):
-                best: tuple[int, str] | None = None
-                for name, ch in channels.items():
-                    if name in done:
-                        continue
-                    if ch._closed and not ch._items:
-                        if ch._error is not None:
-                            raise ch._error
-                        done.add(name)
-                        continue
-                    if ch._items:
-                        stamp = ch._items[0][0]
-                        if best is None or stamp < best[0]:
-                            best = (stamp, name)
-
-                if best is not None:
-                    _stamp, item = channels[best[1]]._items.popleft()
-                    yield (best[1], item)
-                else:
-                    pump = self._mux._pump_fn
-                    if pump is None or not pump():
-                        before = len(done)
-                        for name, ch in channels.items():
-                            if name not in done and not ch._items:
-                                if ch._closed:
-                                    if ch._error is not None:
-                                        raise ch._error
-                                    done.add(name)
-                        if len(done) == before:
-                            break
-        finally:
-            for ch in channels.values():
-                ch._subscribed = False
+        return self._values_transformer._interrupts


-@beta(message="The v3 streaming protocol on Pregel is experimental.")
-class AsyncGraphRunStream:
+class AsyncGraphRunStream(BaseRunStream):
    """Async run stream with caller-driven pumping.

    Async iteration on any projection drives the graph forward — there
    is no background task. Concurrent consumers share a single-flight
-    pump via an `asyncio.Lock`, so each awaiting cursor contributes one
-    event per acquisition. Backpressure comes from the logs: when a
-    subscribed log's buffer reaches `maxlen`, `apush` awaits the
-    subscriber to drain, which holds back the pump and paces the graph.
+    pump via an `asyncio.Lock`, so each awaiting cursor contributes
+    one event per acquisition. Backpressure comes from the logs: when
+    a subscribed log's buffer reaches `maxlen`, `apush` awaits the
+    subscriber to drain, which holds back the pump and paces the
+    graph.

    Projections are single-consumer — a second `aiter(run.values)`
    raises. Use `projection.tee(n)` for fan-out.
@@ -312,68 +268,26 @@ class AsyncGraphRunStream:
        async for msg in run.messages:
            ...
    ```
-
-    !!! warning
-
-        Awaited from `Pregel.astream_events(version="v3")`, which is
-        experimental and may change.
    """

    def __init__(
        self,
-        graph_aiter: AsyncIterator[Any] | None,
+        graph_aiter: AsyncIterator[Any],
        mux: StreamMux,
-        *,
-        wire_pump: bool = True,
    ) -> None:
        """Initialize the async run stream.

        Args:
-            graph_aiter: Async iterator over the graph's stream, or
-                `None` for nested run streams whose pump is driven by
-                an outer run (e.g. `AsyncSubgraphRunStream`).
+            graph_aiter: Async iterator over the graph's stream.
            mux: The StreamMux owning projections and the main log.
-            wire_pump: When True (default), bind `_apump_next` as the
-                mux's async pump callable. Subclasses that inherit a
-                parent pump via `StreamMux._make_child` should pass
-                False to preserve the parent binding.
+                Must have a `ValuesTransformer` registered for
+                `output` / `interrupted` / `interrupts` to work.
        """
+        super().__init__(mux)
        self._graph_aiter = graph_aiter
-        self._mux = mux
-        self.extensions: Mapping[str, Any] = MappingProxyType(mux.extensions)
        self._exhausted = False
-        self._latest: dict[str, Any] | None = None
-        self._interrupted = False
-        self._interrupts: list[Any] = []
-        self._scope_list: list[str] = list(mux.scope)
        self._pump_cond = asyncio.Condition()
        self._pumping = False
-        for key in mux.native_keys:
-            setattr(self, key, mux.extensions[key])
-        if wire_pump:
-            self._wire_arequest_more(mux)
-
-    def _observe_event(self, event: ProtocolEvent) -> None:
-        """Track values-event state for output/interrupted/interrupts."""
-        if event["method"] != "values":
-            return
-        params = event["params"]
-        if params["namespace"] != self._scope_list:
-            return
-        self._latest = params["data"]
-        interrupts = params.get("interrupts", ())
-        if interrupts:
-            self._interrupted = True
-            self._interrupts.extend(interrupts)
-
-    def _wire_arequest_more(self, mux: StreamMux) -> None:
-        """Wire the async pull callback through the mux.
-
-        Mirrors `_wire_request_more`: routing through
-        `mux.bind_apump` lets child mini-muxes inherit the pump
-        callable so cursors on subgraph handles drive the root
-        pump.
-        """
        mux.bind_apump(self._apump_next)

    async def _apump_next(self) -> bool:
@@ -397,7 +311,7 @@ class AsyncGraphRunStream:
            False if the graph is exhausted.
        """
        async with self._pump_cond:
-            if self._exhausted or self._graph_aiter is None:
+            if self._exhausted:
                return False
            if self._pumping:
                # Another task is pumping; wait for its progress signal.
@@ -408,10 +322,6 @@ class AsyncGraphRunStream:
        try:
            try:
                part = await self._graph_aiter.__anext__()
-                event = convert_to_protocol_event(part)
-                self._observe_event(event)
-                await self._mux.apush(event)
-                return True
            except StopAsyncIteration:
                self._exhausted = True
                await self._mux.aclose()
@@ -420,6 +330,8 @@ class AsyncGraphRunStream:
                self._exhausted = True
                await self._mux.afail(e)
                return False
+            await self._mux.apush(convert_to_protocol_event(part))
+            return True
        finally:
            async with self._pump_cond:
                self._pumping = False
@@ -469,21 +381,20 @@ class AsyncGraphRunStream:
            BaseException: If the run ended with an error.
        """
        await _adrive_until_done(self._apump_next)
-        if (err := self._mux._events._error) is not None:
+        if (err := self._values_transformer.error) is not None:
            raise err
-        return self._latest
+        return self._values_transformer._latest

    async def interrupted(self) -> bool:
-        """Drive the run to completion and return whether it was
-        interrupted.
+        """Drive the run to completion and return whether it was interrupted.

        Raises:
            BaseException: If the run ended with an error.
        """
        await _adrive_until_done(self._apump_next)
-        if (err := self._mux._events._error) is not None:
+        if (err := self._values_transformer.error) is not None:
            raise err
-        return self._interrupted
+        return self._values_transformer._interrupted

    async def interrupts(self) -> list[Any]:
        """Drive the run to completion and return interrupt payloads.
@@ -492,117 +403,6 @@ class AsyncGraphRunStream:
            BaseException: If the run ended with an error.
        """
        await _adrive_until_done(self._apump_next)
-        if (err := self._mux._events._error) is not None:
+        if (err := self._values_transformer.error) is not None:
            raise err
-        return self._interrupts
-
-    def __aiter__(self) -> AsyncIterator[ProtocolEvent]:
-        """Subscribe to the main event log and iterate protocol events."""
-        return self._mux._events.__aiter__()
-
-
-class _SubgraphRunStreamMixin:
-    """Subgraph metadata + parent-pump delegation shared by both lanes.
-
-    Inherits from `GraphRunStream` (or `AsyncGraphRunStream`) with
-    `graph_iter=None` + `wire_pump=False` — the mini-mux is driven
-    by the parent's pump (inherited via `StreamMux._make_child`), and
-    the handle never pulls upstream itself. Pump-driving methods
-    delegate to the parent pump so `handle.output` and friends drive
-    the root run.
-
-    Subclasses set the parent pump function captured at construction
-    (`_parent_pump_fn` / `_parent_apump_fn`) and override
-    `_pump_next` / `_apump_next` to delegate to it.
-
-    Status is updated in place by `SubgraphTransformer`. Iterate
-    `run.subgraphs` to receive handles as subgraphs spawn, then
-    drill into projections inside the loop body **before** the next
-    pump cycle — same lazy-subscribe constraint as root projections.
-    """
-
-    path: tuple[str, ...]
-    graph_name: str | None
-    trigger_call_id: str | None
-    status: SubgraphStatus
-    error: str | None
-    _seen_terminal: bool
-
-
-class SubgraphRunStream(GraphRunStream, _SubgraphRunStreamMixin):
-    """Sync handle for a discovered subgraph (extends `GraphRunStream`)."""
-
-    def __init__(
-        self,
-        mux: StreamMux,
-        *,
-        path: tuple[str, ...],
-        graph_name: str | None = None,
-        trigger_call_id: str | None = None,
-    ) -> None:
-        # Capture the parent-inherited pump before super().__init__
-        # touches anything; we delegate to it from `_pump_next`.
-        self._parent_pump_fn: Callable[[], bool] | None = mux._pump_fn
-        super().__init__(
-            graph_iter=None,
-            mux=mux,
-            wire_pump=False,
-        )
-        self.path = path
-        self.graph_name = graph_name
-        self.trigger_call_id = trigger_call_id
-        self.status = "started"
-        self.error = None
-        self._seen_terminal = False
-
-    def _pump_next(self) -> bool:
-        """Delegate to the parent's pump.
-
-        Cursors on this handle's projections call here when their
-        buffers empty. Driving the parent fans events into our
-        mini-mux, transparently advancing the whole run.
-        """
-        if (
-            self._exhausted
-            or self._seen_terminal
-            or self._mux._events._closed
-            or self._parent_pump_fn is None
-        ):
-            return False
-        return self._parent_pump_fn()
-
-
-class AsyncSubgraphRunStream(AsyncGraphRunStream, _SubgraphRunStreamMixin):
-    """Async handle for a discovered subgraph (extends `AsyncGraphRunStream`)."""
-
-    def __init__(
-        self,
-        mux: StreamMux,
-        *,
-        path: tuple[str, ...],
-        graph_name: str | None = None,
-        trigger_call_id: str | None = None,
-    ) -> None:
-        self._parent_apump_fn: Callable[[], Awaitable[bool]] | None = mux._apump_fn
-        super().__init__(
-            graph_aiter=None,
-            mux=mux,
-            wire_pump=False,
-        )
-        self.path = path
-        self.graph_name = graph_name
-        self.trigger_call_id = trigger_call_id
-        self.status = "started"
-        self.error = None
-        self._seen_terminal = False
-
-    async def _apump_next(self) -> bool:
-        """Delegate to the parent's async pump."""
-        if (
-            self._exhausted
-            or self._seen_terminal
-            or self._mux._events._closed
-            or self._parent_apump_fn is None
-        ):
-            return False
-        return await self._parent_apump_fn()
+        return self._values_transformer._interrupts
@@ -1,341 +1,115 @@
 from __future__ import annotations

-import asyncio
-from collections import deque
-from collections.abc import AsyncIterator, Awaitable, Callable, Iterator
-from typing import TYPE_CHECKING, Generic, TypeVar
+from collections.abc import AsyncIterator, Callable, Iterator
+from typing import Generic, TypeVar

-if TYPE_CHECKING:
-    from langgraph.stream._mux import StreamMux
+from langgraph.stream._event_log import EventLog

 T = TypeVar("T")


 class StreamChannel(Generic[T]):
-    """Single-consumer drainable queue for streaming events, with optional
-    protocol auto-forwarding.
+    """A named projection channel with optional protocol auto-forwarding.

-    When constructed with a `name`, the StreamMux auto-wires every
-    `push()` to also inject a `ProtocolEvent` into the main event stream
-    using the channel's name as the method. When constructed without a
-    name, the channel is local-only — items are only visible to
-    in-process consumers that iterate the channel directly.
+    Wraps an event log and declares a protocol channel name. When the
+    StreamMux detects a StreamChannel in a transformer's `init()`
+    return value, it automatically wires every `push()` to inject a
+    `ProtocolEvent` into the main event stream using the channel's
+    name as the method.

-    Items are popped off the front as the consumer advances — there is
-    no retention beyond what's currently queued. A channel accepts
-    exactly one subscriber; a second `__iter__` / `__aiter__` call
-    raises. Use `tee(n)` / `atee(n)` for fan-out.
+    Auto-forwarded events bypass the transformer pipeline — other
+    transformers' `process()` / `aprocess()` methods do not see
+    `custom:<name>` events produced by a channel push. This prevents a
+    transformer that pushes to its own channel during `process()` from
+    re-triggering itself, but it also means filter- or tap-style
+    transformers cannot observe channel output from peer transformers.
+    Consumers that need that should iterate the main event stream.

-    Starts unbound — neither `__iter__` nor `__aiter__` is available
-    until the StreamMux calls `_bind(is_async)`. After binding, only
-    the matching iteration protocol works; the other raises `TypeError`.
+    In-process consumers iterate the channel directly (`for item in ch`
+    or `async for item in ch`). Remote SDK clients subscribe via
+    `session.subscribe("custom:<channelName>")`.

-    Pump wiring (set by the run stream, not by `_bind`):
-        - `_request_more`: sync pump callable, returns True if a new
-          event was produced.
-        - `_arequest_more`: async pump coroutine factory, same contract.
+    Like EventLog, a StreamChannel starts unbound. The mux calls
+    `_bind(is_async)` during registration so the correct iteration
+    protocol is available by the time user code sees it.

-    Memory is bounded by caller pace: both sync and async use caller-
-    driven pumps, so each cursor advance produces at most one event.
-
-    Lazy-subscribe: `push` appends to the local buffer only when a
-    subscriber has registered. Auto-forward via `_wire_fn` always fires
-    regardless of subscription state.
-
-    Lifecycle (`close` / `fail`) is managed by the mux — transformers
-    don't need to close their channels manually.
+    Lifecycle (`_close` / `_fail`) is managed by the mux — transformers
+    using only StreamChannels don't need `finalize` or `fail` hooks.
    """

-    def __init__(self, name: str | None = None, *, maxlen: int | None = None) -> None:
-        """Initialize the channel.
+    def __init__(
+        self, name: str, *, maxlen: int | None = None, retain: bool = False
+    ) -> None:
+        """Initialize the channel with an empty inner log.

        Args:
-            name: Optional protocol channel name. When set, the
-                StreamMux wires every `push()` to also inject a
-                `ProtocolEvent` into the main event stream. Surfaced
-                on the wire as `custom:<name>` for user-defined
-                transformers, or as `<name>` for channels owned by a
-                native transformer (`_native = True`). When `None`,
-                the channel is local-only.
-            maxlen: Accepted for forward compatibility; currently
-                unused. The caller-driven pump bounds memory naturally
-                for single-consumer use.
-
-        Raises:
-            ValueError: If `maxlen` is not a positive integer or `None`.
+            name: The protocol channel name used for auto-forwarded
+                events (`custom:<name>` on the wire).
+            maxlen: Optional retention cap on the inner EventLog. See
+                `EventLog.__init__` for semantics.
+            retain: If True, the inner log retains pushes before any
+                consumer subscribes — needed for channels whose
+                consumer iterates after events have already flowed
+                (e.g. `lifecycle` inspected after draining `values`).
        """
-        if maxlen is not None and maxlen <= 0:
-            raise ValueError("StreamChannel maxlen must be a positive int or None")
        self.name = name
-        self._items: deque[tuple[int, T]] = deque()
-        self._maxlen: int | None = maxlen
-        self._closed = False
-        self._error: BaseException | None = None
-
-        self._is_async: bool | None = None
-
-        self._subscribed = False
-
-        self._request_more: Callable[[], bool] | None = None
-        self._arequest_more: Callable[[], Awaitable[bool]] | None = None
-
+        self._log: EventLog[T] = EventLog(maxlen=maxlen, retain=retain)
        self._wire_fn: Callable[[T], None] | None = None
-        self._mux: StreamMux | None = None
-
-    # ------------------------------------------------------------------
-    # Binding
-    # ------------------------------------------------------------------
-
-    def _bind_mux(self, mux: StreamMux) -> None:
-        self._mux = mux

    def _bind(self, *, is_async: bool) -> None:
-        """Bind this channel to sync or async mode.
-
-        Called by the StreamMux after transformer registration. Must be
-        called exactly once before any iteration.
+        """Bind the underlying event log to sync or async mode.

        Args:
-            is_async: True to enable async iteration, False for sync.
-
-        Raises:
-            RuntimeError: If the channel has already been bound.
+            is_async: True for async iteration, False for sync.
        """
-        if self._is_async is not None:
-            raise RuntimeError("StreamChannel is already bound")
-        self._is_async = is_async
+        self._log._bind(is_async=is_async)
+
+    def push(self, item: T) -> None:
+        """Append an item to the log and auto-forward if wired.
+
+        Args:
+            item: The item to push.
+        """
+        self._log.push(item)
+        if self._wire_fn is not None:
+            self._wire_fn(item)

    # ------------------------------------------------------------------
-    # Mux wiring (not called by transformers directly)
+    # Mux lifecycle hooks (not called by transformers directly)
    # ------------------------------------------------------------------

    def _wire(self, fn: Callable[[T], None]) -> None:
        """Install the auto-forward callback (called by StreamMux)."""
        self._wire_fn = fn

-    # ------------------------------------------------------------------
-    # Producer API
-    # ------------------------------------------------------------------
+    def _close(self) -> None:
+        """Close the underlying log (called by StreamMux on run end)."""
+        self._log.close()

-    def push(self, item: T) -> None:
-        """Append an item. Auto-forwards if wired.
-
-        The local buffer append is a no-op when no subscriber is
-        registered, but auto-forwarding always fires so wired events
-        reach the main event log regardless of subscription state.
-
-        Items are stored as `(stamp, item)` tuples where stamp is a
-        monotonic counter from the owning mux. Stamps are stripped by
-        the default cursors; raw stamped tuples are visible on `_items`.
-
-        Raises:
-            RuntimeError: If the channel is closed (and subscribed).
-        """
-        if self._subscribed:
-            if self._closed:
-                raise RuntimeError("Cannot push to a closed StreamChannel")
-            stamp = self._mux._next_push_seq() if self._mux is not None else 0
-            self._items.append((stamp, item))
-        if self._wire_fn is not None:
-            self._wire_fn(item)
-
-    def close(self) -> None:
-        """Mark the channel as complete."""
-        self._closed = True
-
-    def fail(self, err: BaseException) -> None:
-        """Mark the channel as errored.
-
-        Args:
-            err: The exception to surface to the subscriber.
-        """
-        self._error = err
-        self._closed = True
+    def _fail(self, err: BaseException) -> None:
+        """Fail the underlying log (called by StreamMux on run error)."""
+        self._log.fail(err)

    # ------------------------------------------------------------------
-    # Sync iteration (caller-driven pump)
+    # Iteration — delegates to the inner event log (multi-cursor)
    # ------------------------------------------------------------------

    def __iter__(self) -> Iterator[T]:
-        """Subscribe and return a sync cursor. Can be called only once.
-
-        Raises:
-            TypeError: If the channel is unbound or bound to async mode.
-            RuntimeError: If the channel already has a subscriber.
-        """
-        if self._is_async is None:
-            raise TypeError(
-                "StreamChannel has not been bound yet. "
-                "Register the transformer with a StreamMux first."
-            )
-        if self._is_async:
-            raise TypeError(
-                "This StreamChannel is bound to async mode — use 'async for' instead."
-            )
-        if self._subscribed:
-            raise RuntimeError(
-                "StreamChannel already has a subscriber; use .tee(n) for fan-out."
-            )
-        self._subscribed = True
-        return self._sync_cursor()
-
-    def _sync_cursor(self) -> Iterator[T]:
-        while True:
-            if self._items:
-                _stamp, item = self._items.popleft()
-                yield item
-            elif self._closed:
-                if self._error is not None:
-                    raise self._error
-                return
-            elif self._request_more is not None:
-                if not self._request_more():
-                    if not self._items and not self._closed:
-                        return
-            else:
-                return
-
-    # ------------------------------------------------------------------
-    # Async iteration (caller-driven pump)
-    # ------------------------------------------------------------------
+        return iter(self._log)

    def __aiter__(self) -> AsyncIterator[T]:
-        """Subscribe and return an async cursor. Can be called only once.
-
-        Raises:
-            TypeError: If the channel is unbound or bound to sync mode.
-            RuntimeError: If the channel already has a subscriber.
-        """
-        if self._is_async is None:
-            raise TypeError(
-                "StreamChannel has not been bound yet. "
-                "Register the transformer with a StreamMux first."
-            )
-        if not self._is_async:
-            raise TypeError(
-                "This StreamChannel is bound to sync mode — use 'for' instead."
-            )
-        if self._subscribed:
-            raise RuntimeError(
-                "StreamChannel already has a subscriber; use .atee(n) for fan-out."
-            )
-        self._subscribed = True
-        return self._async_cursor()
-
-    async def _async_cursor(self) -> AsyncIterator[T]:
-        while True:
-            if self._items:
-                _stamp, item = self._items.popleft()
-                yield item
-            elif self._closed:
-                if self._error is not None:
-                    raise self._error
-                return
-            elif self._arequest_more is not None:
-                if not await self._arequest_more():
-                    if not self._items and not self._closed:
-                        return
-            else:
-                return
-
-    # ------------------------------------------------------------------
-    # Fan-out via tee
-    # ------------------------------------------------------------------
+        return self._log.__aiter__()

    def tee(self, n: int = 2) -> tuple[Iterator[T], ...]:
-        """Subscribe and return `n` independent sync iterators.
+        """Fan out the channel into `n` independent sync iterators.

-        Each branch has its own buffer; items pulled from the
-        underlying cursor are copied into every branch. Branches are
-        naturally bounded by caller pace since the sync pump is
-        caller-driven.
-
-        Args:
-            n: Number of branches to create. Must be >= 1.
-
-        Returns:
-            A tuple of `n` iterators over the same underlying stream.
-
-        Raises:
-            TypeError: If the channel is unbound or bound to async mode.
-            RuntimeError: If the channel already has a subscriber.
-            ValueError: If `n` < 1.
+        Delegates to the underlying EventLog's `tee()`.
        """
-        if n < 1:
-            raise ValueError("tee() requires n >= 1")
-        source = self.__iter__()
-        buffers: list[deque[T]] = [deque() for _ in range(n)]
-        exhausted = [False]
-
-        def branch(i: int) -> Iterator[T]:
-            buf = buffers[i]
-            while True:
-                if buf:
-                    yield buf.popleft()
-                elif exhausted[0]:
-                    return
-                else:
-                    try:
-                        item = next(source)
-                    except StopIteration:
-                        exhausted[0] = True
-                        return
-                    for b in buffers:
-                        b.append(item)
-
-        return tuple(branch(i) for i in range(n))
+        return self._log.tee(n)

    def atee(self, n: int = 2) -> tuple[AsyncIterator[T], ...]:
-        """Subscribe and return `n` independent async iterators.
+        """Fan out the channel into `n` independent async iterators.

-        Caller-driven fan-out: each branch's `__anext__` either pops
-        from its own buffer or, under a shared `asyncio.Lock`, pulls
-        one item from the underlying cursor and distributes it to
-        every branch's buffer.
-
-        Args:
-            n: Number of branches to create. Must be >= 1.
-
-        Returns:
-            A tuple of `n` async iterators over the same underlying
-            stream.
-
-        Raises:
-            TypeError: If the channel is unbound or bound to sync mode.
-            RuntimeError: If the channel already has a subscriber.
-            ValueError: If `n` < 1.
+        Delegates to the underlying EventLog's `atee()`.
        """
-        if n < 1:
-            raise ValueError("atee() requires n >= 1")
-        source = self.__aiter__()
-        buffers: list[deque[T]] = [deque() for _ in range(n)]
-        exhausted = [False]
-        error: list[BaseException | None] = [None]
-        lock = asyncio.Lock()
-
-        async def branch(i: int) -> AsyncIterator[T]:
-            buf = buffers[i]
-            while True:
-                if buf:
-                    yield buf.popleft()
-                    continue
-                if exhausted[0]:
-                    if error[0] is not None:
-                        raise error[0]
-                    return
-                async with lock:
-                    if buf or exhausted[0]:
-                        continue
-                    try:
-                        item = await source.__anext__()
-                    except StopAsyncIteration:
-                        exhausted[0] = True
-                        continue
-                    except Exception as e:
-                        error[0] = e
-                        exhausted[0] = True
-                        continue
-                    for b in buffers:
-                        b.append(item)
-
-        return tuple(branch(i) for i in range(n))
+        return self._log.atee(n)
@@ -4,7 +4,6 @@ import sys
 from collections import deque
 from collections.abc import Callable, Hashable, Sequence
 from dataclasses import asdict, dataclass
-from datetime import timedelta
 from typing import (
    TYPE_CHECKING,
    Any,
@@ -68,7 +67,6 @@ __all__ = (
    "CheckpointPayload",
    "DebugPayload",
    "RetryPolicy",
-    "TimeoutPolicy",
    "CachePolicy",
    "Interrupt",
    "StateUpdate",
@@ -118,7 +116,13 @@ def ensure_valid_checkpointer(checkpointer: Checkpointer) -> Checkpointer:


 StreamMode = Literal[
-    "values", "updates", "checkpoints", "tasks", "debug", "messages", "custom"
+    "values",
+    "updates",
+    "checkpoints",
+    "tasks",
+    "debug",
+    "messages",
+    "custom",
 ]
 """How the stream method should emit outputs.

@@ -425,83 +429,6 @@ class RetryPolicy(NamedTuple):
    """List of exception classes that should trigger a retry, or a callable that returns `True` for exceptions that should trigger a retry."""


-def _coerce_timeout_seconds(
-    value: float | timedelta | None, *, field: str
-) -> float | None:
-    if value is None:
-        return None
-    seconds = value.total_seconds() if isinstance(value, timedelta) else float(value)
-    if seconds <= 0:
-        raise ValueError(f"{field} must be greater than 0")
-    return seconds
-
-
-@dataclass(**_DC_KWARGS)
-class TimeoutPolicy:
-    """Configuration for timing out node attempts.
-
-    !!! note "Cooperative cancellation"
-
-        Timeouts rely on asyncio cancellation. If your node uses synchronous
-        time.sleep() or other CPU-bound work that blocks the GIL, the timeout will not
-        be fired until after the event loop has been released.
-
-    !!! note "Inline callback dispatch"
-
-        Under `refresh_on="auto"`, an internal handler refreshes the timeout on any
-        callback event that occurs in the execution of the node or its nested descendants.
-    """
-
-    run_timeout: float | timedelta | None = None
-    """Hard wall-clock cap (in seconds) for a single node attempt.
-
-    This timeout is never refreshed by progress signals or `runtime.heartbeat()`.
-    """
-
-    idle_timeout: float | timedelta | None = None
-    """Maximum time (in seconds) a single node attempt may go without observable progress."""
-
-    refresh_on: Literal["auto", "heartbeat"] = "auto"
-    """Which signals refresh `idle_timeout`.
-
-    `"auto"` refreshes on standard graph progress signals and explicit heartbeats.
-    `"heartbeat"` refreshes only on explicit `runtime.heartbeat()` calls.
-    """
-
-    @classmethod
-    def coerce(
-        cls, value: float | timedelta | TimeoutPolicy | None
-    ) -> TimeoutPolicy | None:
-        """Normalize a timeout value to positive-second policy fields."""
-        if value is None:
-            return None
-        if isinstance(value, TimeoutPolicy):
-            # Fast path: a policy already produced by coerce() has float
-            # timeouts and a validated refresh_on, so we can return it as-is.
-            # `frozen=True` makes this safe to share.
-            rt, it = value.run_timeout, value.idle_timeout
-            if (
-                value.refresh_on in ("auto", "heartbeat")
-                and (rt is None or (type(rt) is float and rt > 0))
-                and (it is None or (type(it) is float and it > 0))
-                and (rt is not None or it is not None)
-            ):
-                return value
-        else:
-            value = cls(run_timeout=value)
-        if value.refresh_on not in ("auto", "heartbeat"):
-            raise ValueError("refresh_on must be 'auto' or 'heartbeat'")
-        run_timeout = _coerce_timeout_seconds(value.run_timeout, field="run_timeout")
-        idle_timeout = _coerce_timeout_seconds(value.idle_timeout, field="idle_timeout")
-        if run_timeout is None and idle_timeout is None:
-            return None
-        return cls(
-            run_timeout=run_timeout,
-            idle_timeout=idle_timeout,
-            refresh_on=value.refresh_on,
-        )
-
-
 KeyFuncT = TypeVar("KeyFuncT", bound=Callable[..., str | bytes])


@@ -627,7 +554,6 @@ class PregelExecutableTask:
    path: tuple[str | int | tuple, ...]
    writers: Sequence[Runnable] = ()
    subgraphs: Sequence[PregelProtocol] = ()
-    timeout: TimeoutPolicy | None = None


 class StateSnapshot(NamedTuple):
@@ -667,8 +593,6 @@ class Send:
    Attributes:
        node (str): The name of the target node to send the message to.
        arg (Any): The state or message to send to the target node.
-        timeout (TimeoutPolicy | None): Optional timeout policy for this specific
-            pushed task. If omitted, the target node's timeout policy is used.

    !!! example

@@ -698,47 +622,33 @@ class Send:
        ```
    """

-    __slots__ = ("node", "arg", "timeout")
+    __slots__ = ("node", "arg")

    node: str
    arg: Any
-    timeout: TimeoutPolicy | None

-    def __init__(
-        self,
-        /,
-        node: str,
-        arg: Any,
-        *,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
-    ) -> None:
+    def __init__(self, /, node: str, arg: Any) -> None:
        """
        Initialize a new instance of the `Send` class.

        Args:
            node: The name of the target node to send the message to.
            arg: The state or message to send to the target node.
-            timeout: Optional timeout policy for this specific pushed task. A
-                number or `timedelta` is treated as a hard `run_timeout`.
        """
        self.node = node
        self.arg = arg
-        self.timeout = TimeoutPolicy.coerce(timeout)

    def __hash__(self) -> int:
-        return hash((self.node, self.arg, self.timeout))
+        return hash((self.node, self.arg))

    def __repr__(self) -> str:
-        if self.timeout is None:
-            return f"Send(node={self.node!r}, arg={self.arg!r})"
-        return f"Send(node={self.node!r}, arg={self.arg!r}, timeout={self.timeout!r})"
+        return f"Send(node={self.node!r}, arg={self.arg!r})"

    def __eq__(self, value: object) -> bool:
        return (
            isinstance(value, Send)
            and self.node == value.node
            and self.arg == value.arg
-            and self.timeout == value.timeout
        )


@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "1.2.0a7"
+version = "1.1.7a2"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -24,10 +24,10 @@ classifiers = [
    'Programming Language :: Python :: 3.13',
 ]
 dependencies = [
-    "langchain-core>=1.4.0a2,<2",
-    "langgraph-checkpoint>=4.1.0a4,<5.0.0",
+    "langchain-core==1.3.2",
+    "langgraph-checkpoint>=2.1.0,<5.0.0",
    "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.1.0a2,<1.2.0",
+    "langgraph-prebuilt>=1.0.9,<1.1.0",
    "xxhash>=3.5.0",
    "pydantic>=2.7.4",
 ]
@@ -38,7 +38,7 @@ Homepage = "https://docs.langchain.com/oss/python/langgraph/overview"
 Documentation = "https://reference.langchain.com/python/langgraph/"
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/langgraph"
 Changelog = "https://github.com/langchain-ai/langgraph/releases"
-Twitter = "https://x.com/langchain_oss"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"

@@ -1,33 +1,18 @@
 import operator
 from collections.abc import Sequence
-from typing import Annotated

 import pytest
-from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
-from langgraph.checkpoint.memory import InMemorySaver
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
-from typing_extensions import NotRequired, TypedDict

 from langgraph._internal._typing import MISSING
 from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.last_value import LastValue
 from langgraph.channels.topic import Topic
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.errors import EmptyChannelError, InvalidUpdateError
-from langgraph.graph import START, StateGraph
-from langgraph.graph.message import _messages_delta_reducer
-from langgraph.graph.state import _get_channel
-from langgraph.types import Overwrite

 pytestmark = pytest.mark.anyio


-# ---------------------------------------------------------------------------
-# Core channel primitives
-# ---------------------------------------------------------------------------
-
-
 def test_last_value() -> None:
    channel = LastValue(int).from_checkpoint(MISSING)
    assert channel.ValueType is int
@@ -110,563 +95,25 @@ def test_untracked_value() -> None:
    assert channel.ValueType is dict
    assert channel.UpdateType is dict

+    # UntrackedValue should start empty
    with pytest.raises(EmptyChannelError):
        channel.get()

+    # Should be able to update with a value
    test_data = {"session": "test", "temp": "dir"}
    channel.update([test_data])
    assert channel.get() == test_data

+    # Update with new value
    new_data = {"session": "updated", "temp": "newdir"}
    channel.update([new_data])
    assert channel.get() == new_data

+    # On checkpoint, UntrackedValue should return MISSING
    checkpoint = channel.checkpoint()
    assert checkpoint is MISSING

+    # Creating from checkpoint with MISSING should start empty
    new_channel = UntrackedValue(dict).from_checkpoint(checkpoint)
    with pytest.raises(EmptyChannelError):
        new_channel.get()
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — message reducer
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_basic_two_steps() -> None:
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-
-    ch.update([HumanMessage(content="hi", id="h1")])
-    d1 = ch.checkpoint()
-    assert d1 is MISSING
-
-    ch.update([AIMessage(content="hello", id="a1")])
-    d2 = ch.checkpoint()
-    assert d2 is MISSING
-
-    assert len(ch.get()) == 2
-    assert ch.get()[0].content == "hi"
-    assert ch.get()[1].content == "hello"
-
-
-def test_delta_channel_from_checkpoint_writes_list() -> None:
-    """replay_writes on a fresh channel replays through the operator."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    ch = spec.from_checkpoint(MISSING)
-    ch.replay_writes(
-        [
-            ("t0", "messages", HumanMessage(content="hi", id="h1")),
-            ("t1", "messages", AIMessage(content="hello", id="a1")),
-            ("t2", "messages", HumanMessage(content="bye", id="h2")),
-        ]
-    )
-    msgs = ch.get()
-    assert len(msgs) == 3
-    assert msgs[0].content == "hi"
-    assert msgs[1].content == "hello"
-    assert msgs[2].content == "bye"
-
-
-def test_delta_channel_from_checkpoint_backwards_compat() -> None:
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    old_value = [HumanMessage(content="old", id="h1")]
-    ch = spec.from_checkpoint(old_value)
-    assert ch.get() == old_value
-
-
-def test_delta_channel_overwrite() -> None:
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-    ch.update([HumanMessage(content="old", id="h1")])
-
-    ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
-    d = ch.checkpoint()
-    assert d is MISSING
-    assert len(ch.get()) == 1
-    assert ch.get()[0].content == "new"
-
-
-def test_delta_channel_remove_message_and_replay() -> None:
-    """RemoveMessage must round-trip correctly when writes are replayed."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    ch = spec.from_checkpoint(MISSING)
-
-    ch.update([HumanMessage(content="hi", id="h1")])
-    ch.update([AIMessage(content="hello", id="a1")])
-    assert ch.get() == [
-        HumanMessage(content="hi", id="h1"),
-        AIMessage(content="hello", id="a1"),
-    ]
-
-    ch.update([RemoveMessage(id="a1")])
-    assert ch.get() == [HumanMessage(content="hi", id="h1")]
-
-    ch2 = spec.from_checkpoint(MISSING)
-    ch2.replay_writes(
-        [
-            ("t0", "messages", HumanMessage(content="hi", id="h1")),
-            ("t1", "messages", AIMessage(content="hello", id="a1")),
-            ("t2", "messages", RemoveMessage(id="a1")),
-        ]
-    )
-    assert ch2.get() == [HumanMessage(content="hi", id="h1")]
-
-
-def test_delta_channel_update_by_id_and_replay() -> None:
-    """Updating a message by ID must round-trip correctly through writes replay."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    ch = spec.from_checkpoint(MISSING)
-
-    ch.update([HumanMessage(content="original", id="h1")])
-    ch.update([HumanMessage(content="updated", id="h1")])
-    assert ch.get() == [HumanMessage(content="updated", id="h1")]
-
-    ch2 = spec.from_checkpoint(MISSING)
-    ch2.replay_writes(
-        [
-            ("t0", "messages", HumanMessage(content="original", id="h1")),
-            ("t1", "messages", HumanMessage(content="updated", id="h1")),
-        ]
-    )
-    assert len(ch2.get()) == 1
-    assert ch2.get()[0].content == "updated"
-
-
-def test_delta_channel_dict_coercion() -> None:
-    """_messages_delta_reducer coerces dict writes to BaseMessage objects.
-
-    HTTP-driven input always arrives as JSON dicts.  The reducer must coerce
-    them (same contract as add_messages) so graphs work without a separate
-    coercion step.
-    """
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-
-    # dict input — simulates what arrives from the HTTP API
-    ch.update([{"role": "human", "content": "hello", "id": "h1"}])
-    assert len(ch.get()) == 1
-    assert isinstance(ch.get()[0], HumanMessage)
-    assert ch.get()[0].content == "hello"
-    assert ch.get()[0].id == "h1"
-
-    # update by ID via dict
-    ch.update([{"role": "ai", "content": "world", "id": "h1"}])
-    assert len(ch.get()) == 1
-    assert ch.get()[0].content == "world"
-
-    # remove via RemoveMessage instance (same contract as add_messages)
-    ch.update([RemoveMessage(id="h1")])
-    assert ch.get() == []
-
-
-def test_messages_delta_reducer_coerces_state() -> None:
-    """State (left side) is coerced when raw — supports raw initial input
-    and deserialized blobs. The steady-state path (state already typed)
-    short-circuits and skips coercion.
-    """
-    state = [{"role": "human", "content": "hello", "id": "h1"}]
-    writes = [[{"role": "ai", "content": "world", "id": "h1"}]]
-    result = _messages_delta_reducer(state, writes)  # type: ignore[arg-type]
-    assert len(result) == 1
-    assert isinstance(result[0], AIMessage)
-    assert result[0].content == "world"
-    assert result[0].id == "h1"
-
-
-def test_messages_delta_reducer_tuple_write_is_one_message() -> None:
-    """A top-level tuple write is one message-like, not a sequence to flatten.
-
-    `("user", "hi")` is a valid `MessageLikeRepresentation`; flattening it
-    would produce two HumanMessages ("user", "hi") instead of one.
-    """
-    result = _messages_delta_reducer([], [("user", "hi")])  # type: ignore[arg-type]
-    assert len(result) == 1
-    assert isinstance(result[0], HumanMessage)
-    assert result[0].content == "hi"
-
-
-def test_delta_channel_checkpoint_returns_missing() -> None:
-    """checkpoint() always returns MISSING regardless of state.
-
-    Pregel writes `_DeltaSnapshot(ch.get())` directly into `channel_values`
-    on snapshot steps; the channel itself never participates in snapshot
-    serialization, so its `checkpoint()` is always the absence sentinel.
-    """
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-    assert ch.checkpoint() is MISSING
-
-    ch.update([HumanMessage(content="hi", id="h1")])
-    assert ch.checkpoint() is MISSING
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — snapshot frequency
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_snapshot_version_based() -> None:
-    """Snapshots fire when a channel accumulates `snapshot_frequency` updates.
-
-    Under the version-delta cadence, every time the channel's
-    `current_version - last_snapshot_version >= snapshot_frequency` a
-    `_DeltaSnapshot` blob is written. Bounds the ancestor walk to at most
-    `snapshot_frequency` steps on any read for that channel.
-    """
-
-    class State(TypedDict):
-        messages: Annotated[
-            list, DeltaChannel(_messages_delta_reducer, snapshot_frequency=5)
-        ]
-        other: str
-
-    def node_a(state: State) -> dict:
-        i = len(state["messages"]) // 2
-        return {"messages": [AIMessage(content=f"a{i}", id=f"a{i}")]}
-
-    def node_b(state: State) -> dict:
-        return {"other": "y"}
-
-    g = StateGraph(State)
-    g.add_node("a", node_a)
-    g.add_node("b", node_b)
-    g.add_edge(START, "a")
-    g.add_edge("a", "b")
-    saver = InMemorySaver()
-    graph = g.compile(checkpointer=saver)
-
-    config = {"configurable": {"thread_id": "t1"}}
-    for i in range(6):
-        graph.invoke(
-            {"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")], "other": ""},
-            config,
-        )
-
-    msg_blob_values = [
-        saver.serde.loads_typed((type_tag, blob))
-        for k, (type_tag, blob) in saver.blobs.items()
-        if k[2] == "messages" and type_tag == "msgpack" and blob
-    ]
-    snapshots = [v for v in msg_blob_values if isinstance(v, _DeltaSnapshot)]
-    assert snapshots, "expected at least one _DeltaSnapshot blob for messages"
-
-    state = graph.get_state(config)
-    assert len(state.values["messages"]) == 12  # 6 human + 6 AI
-
-
-# TODO(delta-channel-cadence): the previous "snapshot fires even when channel
-# was not written" test asserted eager step-based snapshotting; under the new
-# version-delta cadence (`should_snapshot` triggers on per-channel update
-# count, not superstep count), no snapshot fires for an unwritten channel.
-# Replace with a test that exercises the version-delta trigger plus the
-# durability="exit" force-snapshot branch — see
-# `docs/superpowers/specs/2026-05-04-delta-channel-batched-reads-design.md`
-# section "Snapshot cadence".
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — end-to-end (InMemorySaver)
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_inmemory_saver_assembles_writes() -> None:
-    """InMemorySaver assembles writes from checkpoint_writes inside get_tuple."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer, list)]
-
-    n = {"v": 0}
-
-    def respond(state: State) -> dict:
-        n["v"] += 1
-        return {"messages": [AIMessage(content=f"ok{n['v']}", id=f"ai{n['v']}")]}
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_edge(START, "respond")
-    saver = InMemorySaver()
-    graph = builder.compile(checkpointer=saver)
-    config = {"configurable": {"thread_id": "t1"}}
-
-    graph.invoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
-    graph.invoke({"messages": [HumanMessage(content="bye", id="h2")]}, config)
-
-    saved = saver.get_tuple(config)
-    assert saved is not None
-    assert "messages" not in saved.checkpoint["channel_values"]
-
-    state = graph.get_state(config)
-    assert len(state.values["messages"]) == 4  # 2 human + 2 AI
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — dict reducer
-# ---------------------------------------------------------------------------
-
-
-def _delta_channel_with_type(op, typ):
-    """Build a DeltaChannel with an explicit type via the Annotated injection path."""
-    return _get_channel("_test", Annotated[typ, DeltaChannel(op)])
-
-
-def test_delta_channel_dict_reducer_fresh_channel() -> None:
-    """DeltaChannel with a dict reducer starts as empty dict on MISSING checkpoint."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
-    assert ch.is_available()
-    assert ch.get() == {}
-
-
-def test_delta_channel_dict_reducer_basic_updates() -> None:
-    """DeltaChannel with a dict reducer accumulates key/value pairs across steps."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
-
-    ch.update([{"a": 1}])
-    d1 = ch.checkpoint()
-    assert d1 is MISSING
-
-    ch.update([{"b": 2}])
-    d2 = ch.checkpoint()
-    assert d2 is MISSING
-
-    assert ch.get() == {"a": 1, "b": 2}
-
-
-def test_delta_channel_dict_reducer_writes_reconstruction() -> None:
-    """replay_writes on a fresh channel replays through a dict merge reducer."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    spec = _delta_channel_with_type(merge_dicts, dict)
-    ch = spec.from_checkpoint(MISSING)
-    ch.replay_writes(
-        [
-            ("t0", "files", {"a": 1}),
-            ("t1", "files", {"b": 2}),
-            ("t2", "files", {"c": 3}),
-        ]
-    )
-    assert ch.get() == {"a": 1, "b": 2, "c": 3}
-
-
-def test_delta_channel_dict_reducer_with_deletions() -> None:
-    """Dict reducer that treats None values as deletions works end-to-end."""
-
-    def merge_files(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            for k, v in w.items():
-                if v is None:
-                    result.pop(k, None)
-                else:
-                    result[k] = v
-        return result
-
-    ch = _delta_channel_with_type(merge_files, dict).from_checkpoint(MISSING)
-    ch.update([{"file1.py": "content1", "file2.py": "content2"}])
-    ch.update([{"file1.py": None, "file3.py": "content3"}])
-    assert ch.get() == {"file2.py": "content2", "file3.py": "content3"}
-
-    spec = _delta_channel_with_type(merge_files, dict)
-    ch2 = spec.from_checkpoint(MISSING)
-    ch2.replay_writes(
-        [
-            ("t0", "files", {"file1.py": "content1", "file2.py": "content2"}),
-            ("t1", "files", {"file1.py": None, "file3.py": "content3"}),
-        ]
-    )
-    assert ch2.get() == {"file2.py": "content2", "file3.py": "content3"}
-
-
-def test_delta_channel_dict_reducer_overwrite_in_update() -> None:
-    """Overwrite(dict) in update() must preserve dict shape, not coerce to list."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
-    ch.update([{"a": 1}])
-    ch.update([Overwrite({"b": 2, "c": 3})])
-    assert ch.get() == {"b": 2, "c": 3}
-
-
-def test_delta_channel_dict_reducer_overwrite_in_writes_replay() -> None:
-    """Overwrite(dict) embedded in replayed writes must reconstruct as dict."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    spec = _delta_channel_with_type(merge_dicts, dict)
-    ch = spec.from_checkpoint(MISSING)
-    ch.replay_writes(
-        [
-            ("t0", "files", {"a": 1}),
-            ("t1", "files", Overwrite({"x": 10, "y": 20})),
-            ("t2", "files", {"z": 30}),
-        ]
-    )
-    assert ch.get() == {"x": 10, "y": 20, "z": 30}
-
-
-def test_delta_channel_dict_reducer_with_notrequired_annotation() -> None:
-    """DeltaChannel infers dict type through `Annotated[NotRequired[dict[...]], ch]`."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    annotation = Annotated[NotRequired[dict[str, int]], DeltaChannel(merge_dicts)]
-    ch = _get_channel("files", annotation).from_checkpoint(MISSING)
-    assert ch.get() == {}
-    ch.update([{"a": 1}])
-    ch.update([{"b": 2}])
-    assert ch.get() == {"a": 1, "b": 2}
-
-
-def test_delta_channel_dict_reducer_end_to_end_filesystem() -> None:
-    """End-to-end: graph with dict-reducer (filesystem-style) channel wrapped in DeltaChannel."""
-
-    def merge_files(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            for k, v in w.items():
-                if v is None:
-                    result.pop(k, None)
-                else:
-                    result[k] = v
-        return result
-
-    class State(TypedDict):
-        files: Annotated[dict[str, str], DeltaChannel(merge_files)]
-
-    turn = {"v": 0}
-
-    def write_file(state: State) -> dict:
-        turn["v"] += 1
-        n = turn["v"]
-        return {"files": {f"/doc_{n}.txt": f"content for turn {n}"}}
-
-    builder = StateGraph(State)
-    builder.add_node("write_file", write_file)
-    builder.add_edge(START, "write_file")
-    saver = InMemorySaver()
-    graph = builder.compile(checkpointer=saver)
-    config = {"configurable": {"thread_id": "fs"}}
-
-    for _ in range(3):
-        graph.invoke({"files": {}}, config)
-
-    saved = saver.get_tuple(config)
-    assert saved is not None
-    assert "files" not in saved.checkpoint["channel_values"]
-    state = graph.get_state(config)
-    assert state.values["files"] == {
-        "/doc_1.txt": "content for turn 1",
-        "/doc_2.txt": "content for turn 2",
-        "/doc_3.txt": "content for turn 3",
-    }
-
-    def delete_file(state: State) -> dict:
-        return {"files": {"/doc_1.txt": None}}
-
-    builder2 = StateGraph(State)
-    builder2.add_node("write_file", write_file)
-    builder2.add_node("delete_file", delete_file)
-    builder2.add_edge(START, "write_file")
-    builder2.add_edge("write_file", "delete_file")
-    turn["v"] = 0
-    saver2 = InMemorySaver()
-    graph2 = builder2.compile(checkpointer=saver2)
-    config2 = {"configurable": {"thread_id": "fs2"}}
-    graph2.invoke({"files": {}}, config2)
-    state2 = graph2.get_state(config2)
-    assert state2.values["files"] == {}
-
-
-def test_delta_channel_dict_reducer_backwards_compat() -> None:
-    """A pre-DeltaChannel dict checkpoint must load as a dict, not be listified."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    spec = _delta_channel_with_type(merge_dicts, dict)
-    old_value = {"a": 1, "b": 2}
-    ch = spec.from_checkpoint(old_value)
-    assert ch.get() == {"a": 1, "b": 2}
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — seed / pre-delta migration
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_from_checkpoint_honors_seed() -> None:
-    """A non-sentinel value to from_checkpoint is used as the pre-delta seed.
-
-    Guards the pre-delta migration path: when the saver's ancestor walk hits
-    a pre-DeltaChannel blob it passes it as `seed` so replay reconstructs
-    the post-migration state correctly rather than replaying from empty.
-    """
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    seed = [HumanMessage(content="pre-delta", id="p1")]
-    ch = spec.from_checkpoint(seed)
-    ch.replay_writes(
-        [
-            ("t0", "messages", AIMessage(content="delta-1", id="d1")),
-            ("t1", "messages", HumanMessage(content="delta-2", id="d2")),
-        ]
-    )
-    msgs = ch.get()
-    assert [m.content for m in msgs] == ["pre-delta", "delta-1", "delta-2"]
-
-
-def test_delta_channel_from_checkpoint_seed_without_writes() -> None:
-    """Reconstruction at a pre-delta ancestor with no newer deltas returns
-    just the seed — the saver's terminator fired immediately."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    seed = [HumanMessage(content="only-snap", id="s1")]
-    ch = spec.from_checkpoint(seed)
-    ch.replay_writes([])
-    assert ch.get() == seed
-
-
-def test_delta_channel_from_checkpoint_seed_none_is_distinct_from_sentinel() -> None:
-    """`seed=None` must start replay from None, not from an empty channel.
-
-    The `MISSING` absence sentinel means 'no seed'; passing `None`
-    explicitly should feed None to the reducer as the left operand.
-    """
-
-    def replace(state, writes):
-        return writes[-1] if writes else state
-
-    spec = DeltaChannel(replace, list)
-    ch = spec.from_checkpoint(None)
-    ch.replay_writes([("t0", "x", "after")])
-    assert ch.get() == "after"
@@ -1,321 +0,0 @@
-"""Benchmark: DeltaChannel — multi-channel reads, mixed snapshot frequencies.
-
-Run directly:  python tests/test_delta_channel_benchmark.py
-Run via pytest: pytest tests/test_delta_channel_benchmark.py -s
-
-Sweeps `(K delta channels, snapshot_frequency strategy, turn count)` and
-reports per-scenario read latency, write latency, storage, and peak Python
-heap usage during `get_state`.
-
-Scenarios cover the dimensions where this branch's optimizations matter:
-
-  * K-channel batching   — varying K (number of `DeltaChannel`s the graph
-                           reads on hydrate) shows the effect of merging
-                           per-channel reads into a single saver call.
-  * Mixed frequencies    — channels with very different snapshot cadences
-                           in one graph exercise the per-channel chain
-                           bound in stage-2.
-  * Turn count           — chain depth shows how paged stage-1 holds up.
-"""
-
-from __future__ import annotations
-
-import contextlib
-import gc
-import os
-import sys
-import time
-import tracemalloc
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.messages import HumanMessage
-from langgraph.checkpoint.memory import MemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, StateGraph
-from langgraph.graph.message import _messages_delta_reducer
-
-try:
-    from langgraph.checkpoint.postgres import PostgresSaver
-
-    _POSTGRES_AVAILABLE = True
-    _POSTGRES_URI = os.environ.get(
-        "LANGGRAPH_BENCH_POSTGRES_URI",
-        "postgres://postgres@localhost:5432/postgres?sslmode=disable",
-    )
-except ImportError:
-    _POSTGRES_AVAILABLE = False
-
-
-# ---------------------------------------------------------------------------
-# Realistic message payload (~100 tokens / ~400 chars each)
-# ---------------------------------------------------------------------------
-
-_HUMAN_TEMPLATE = (
-    "I need help understanding the implications of {topic} on our system "
-    "architecture. Specifically, I'm concerned about how this interacts with "
-    "our existing {concern} and whether we need to refactor the {component} "
-    "layer before proceeding."
-)
-
-_TOPICS = [
-    "distributed tracing",
-    "eventual consistency",
-    "schema migration",
-    "backpressure handling",
-    "idempotency guarantees",
-]
-_CONCERNS = ["concurrency model", "retry semantics", "ordering guarantees"]
-_COMPONENTS = ["persistence", "ingestion", "routing"]
-
-
-def _human_content(i: int) -> str:
-    return _HUMAN_TEMPLATE.format(
-        topic=_TOPICS[i % len(_TOPICS)],
-        concern=_CONCERNS[i % len(_CONCERNS)],
-        component=_COMPONENTS[i % len(_COMPONENTS)],
-    )
-
-
-# ---------------------------------------------------------------------------
-# State / graph factory: K DeltaChannel fields with per-channel freqs
-# ---------------------------------------------------------------------------
-
-
-def _make_state_cls(freqs: list[int]) -> type:
-    """Build a TypedDict with one DeltaChannel per entry in `freqs`."""
-    fields: dict[str, Any] = {}
-    for i, freq in enumerate(freqs):
-        ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=freq)
-        fields[f"ch{i}"] = Annotated[list, ch]
-    return TypedDict(  # type: ignore[return-value]
-        "_BenchState_" + "-".join(str(f) for f in freqs),
-        fields,
-    )
-
-
-def _make_graph(state_cls: type, K: int, checkpointer: Any = None) -> Any:
-    """Graph: one node, writes a fresh message into every channel each turn."""
-
-    def fanout(state: Any) -> dict[str, Any]:
-        i = max(len(state.get(f"ch{j}", [])) for j in range(K))
-        # Each channel gets its own copy with a unique id so the reducer
-        # does meaningful per-channel state accumulation.
-        return {
-            f"ch{j}": [HumanMessage(content=_human_content(i), id=f"c{j}_{i}")]
-            for j in range(K)
-        }
-
-    g = StateGraph(state_cls)
-    g.add_node("fanout", fanout)
-    g.set_entry_point("fanout")
-    g.add_edge("fanout", END)
-    return g.compile(checkpointer=checkpointer or MemorySaver())
-
-
-# ---------------------------------------------------------------------------
-# Storage / memory measurement
-# ---------------------------------------------------------------------------
-
-
-def _inmemory_blob_bytes(saver: MemorySaver) -> int:
-    return sum(
-        len(blob) for (_, _, _, _), (_, blob) in saver.blobs.items() if blob is not None
-    )
-
-
-def _postgres_storage_bytes(saver: Any, thread_id: str) -> int:
-    """Total bytes across checkpoints / checkpoint_blobs / checkpoint_writes
-    rows for this `thread_id`. Uses `pg_column_size` for an in-row payload
-    estimate; faster than full-table size and scoped to the thread."""
-    sql = """
-    SELECT COALESCE(SUM(pg_column_size(c.*)), 0)
-         + COALESCE((SELECT SUM(pg_column_size(b.*)) FROM checkpoint_blobs b
-                     WHERE b.thread_id = %s), 0)
-         + COALESCE((SELECT SUM(pg_column_size(w.*)) FROM checkpoint_writes w
-                     WHERE w.thread_id = %s), 0)
-         AS total
-    FROM checkpoints c
-    WHERE c.thread_id = %s
-    """
-    with saver._cursor() as cur:
-        cur.execute(sql, (thread_id, thread_id, thread_id))
-        row = cur.fetchone()
-    if row is None:
-        return 0
-    if isinstance(row, dict):
-        return int(row.get("total") or 0)
-    return int(row[0] or 0)
-
-
-def _run_scenario(
-    freqs: list[int],
-    n_turns: int,
-    checkpointer: Any,
-    thread_id: str,
-) -> dict[str, float | int]:
-    """Drive `n_turns` invocations of a K-channel graph, measure
-    write/read/storage/peak-memory."""
-    K = len(freqs)
-    state_cls = _make_state_cls(freqs)
-    graph = _make_graph(state_cls, K, checkpointer)
-    config = {"configurable": {"thread_id": thread_id}}
-
-    # Write phase
-    t0 = time.perf_counter()
-    for i in range(n_turns):
-        graph.invoke({}, config)
-    write_elapsed = time.perf_counter() - t0
-
-    # Read phase + tracemalloc peak across get_state calls
-    gc.collect()
-    tracemalloc.start()
-    t1 = time.perf_counter()
-    for _ in range(5):
-        graph.get_state(config)
-    read_elapsed = (time.perf_counter() - t1) / 5
-    _, peak_bytes = tracemalloc.get_traced_memory()
-    tracemalloc.stop()
-
-    # Storage
-    if isinstance(graph.checkpointer, MemorySaver):
-        storage = _inmemory_blob_bytes(graph.checkpointer)
-    elif _POSTGRES_AVAILABLE and isinstance(graph.checkpointer, PostgresSaver):
-        storage = _postgres_storage_bytes(graph.checkpointer, thread_id)
-    else:
-        storage = -1
-
-    return {
-        "K": K,
-        "turns": n_turns,
-        "write_total_s": write_elapsed,
-        "write_per_invoke_ms": (write_elapsed / n_turns) * 1000,
-        "read_avg_ms": read_elapsed * 1000,
-        "storage_bytes": storage,
-        "peak_mem_bytes": peak_bytes,
-    }
-
-
-# ---------------------------------------------------------------------------
-# Postgres helpers
-# ---------------------------------------------------------------------------
-
-
-@contextlib.contextmanager
-def _pg_saver(thread_id: str):
-    with PostgresSaver.from_conn_string(_POSTGRES_URI) as saver:
-        saver.setup()
-        with saver._cursor() as cur:
-            for tbl in ("checkpoints", "checkpoint_blobs", "checkpoint_writes"):
-                cur.execute(f"DELETE FROM {tbl} WHERE thread_id = %s", (thread_id,))
-        yield saver
-        with saver._cursor() as cur:
-            for tbl in ("checkpoints", "checkpoint_blobs", "checkpoint_writes"):
-                cur.execute(f"DELETE FROM {tbl} WHERE thread_id = %s", (thread_id,))
-
-
-def _checkpointers() -> list[tuple[str, Any]]:
-    result: list[tuple[str, Any]] = [("InMemory", None)]
-    if _POSTGRES_AVAILABLE:
-        try:
-            import psycopg
-
-            psycopg.connect(_POSTGRES_URI).close()
-            result.append(("Postgres", "postgres"))
-        except Exception:
-            pass
-    return result
-
-
-# ---------------------------------------------------------------------------
-# Scenarios
-# ---------------------------------------------------------------------------
-
-SCENARIOS: list[tuple[str, list[int]]] = [
-    ("K=1, freq=50", [50]),
-    ("K=3, freq=50 uniform", [50, 50, 50]),
-    ("K=3, freq=mixed", [50, 200, 1000]),
-    ("K=8, freq=50 uniform", [50] * 8),
-    ("K=8, freq=mixed", [25, 50, 100, 200, 500, 1000, 1000, 1000]),
-]
-
-TURN_COUNTS = [100, 500]
-
-
-def _fmt_bytes(n: int) -> str:
-    if n < 0:
-        return "n/a"
-    if n >= 1_000_000:
-        return f"{n / 1_000_000:.1f} MB"
-    if n >= 1_000:
-        return f"{n / 1_000:.1f} KB"
-    return f"{n} B"
-
-
-def _print_scenario_table(cp_label: str, rows: list[dict]) -> None:
-    print(f"\n  [{cp_label}]")
-    header = (
-        f"  {'scenario':<28}{'turns':>8}{'write_ms':>11}"
-        f"{'read_ms':>10}{'storage':>12}{'peak_mem':>12}"
-    )
-    print(header)
-    print("  " + "-" * (len(header) - 2))
-    for row in rows:
-        print(
-            f"  {row['scenario']:<28}"
-            f"{row['turns']:>8}"
-            f"{row['write_per_invoke_ms']:>10.1f}"
-            f"{row['read_avg_ms']:>10.2f}"
-            f"{_fmt_bytes(row['storage_bytes']):>12}"
-            f"{_fmt_bytes(row['peak_mem_bytes']):>12}"
-        )
-
-
-def run_benchmark() -> list[dict]:
-    """Run the full sweep and return all measurement rows."""
-    all_rows: list[dict] = []
-    for cp_label, cp_hint in _checkpointers():
-        rows: list[dict] = []
-        for scenario_label, freqs in SCENARIOS:
-            for turns in TURN_COUNTS:
-                thread_id = f"bench-{scenario_label.replace(' ', '_')}-{turns}".lower()
-                if cp_hint is None:
-                    saver_ctx: Any = contextlib.nullcontext(None)
-                else:
-                    saver_ctx = _pg_saver(thread_id)
-                with saver_ctx as saver:
-                    measured = _run_scenario(freqs, turns, saver, thread_id)
-                measured["scenario"] = scenario_label
-                measured["saver"] = cp_label
-                rows.append(measured)
-                all_rows.append(measured)
-        _print_scenario_table(cp_label, rows)
-    return all_rows
-
-
-# ---------------------------------------------------------------------------
-# Pytest entry point
-# ---------------------------------------------------------------------------
-
-
-@pytest.mark.skip(
-    reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
-)
-def test_delta_channel_benchmark(capsys: Any) -> None:
-    """Manual benchmark — see module docstring."""
-    with capsys.disabled():
-        run_benchmark()
-
-
-# ---------------------------------------------------------------------------
-# Script entry point
-# ---------------------------------------------------------------------------
-
-
-if __name__ == "__main__":
-    print("DeltaChannel benchmark — multi-channel reads, mixed frequencies")
-    print("=" * 78)
-    run_benchmark()
-    sys.exit(0)
@@ -1,618 +0,0 @@
-"""Tests for the BinaryOperatorAggregate -> DeltaChannel migration path.
-
-A thread written under `BinaryOperatorAggregate(...)` must keep working
-after its annotation is swapped to `DeltaChannel(...)` on the same
-checkpointer — pre-migration state visible at each *settled* ancestor
-checkpoint is preserved, and post-migration writes fold on top through
-the reducer.
-
-Mechanism under test: the saver's public `get_delta_channel_history(config,
-channels)` walks the parent chain; when it encounters an ancestor whose
-`channel_values[channel]` is a real value, it populates that channel's
-`seed` in the returned `DeltaChannelHistory`. If the walk reaches the root
-without finding a stored value, the `seed` key is omitted (TypedDict
-absence indicates "start empty"). `DeltaChannel.from_checkpoint(seed)`
-uses it as the base value, and `replay_writes(writes)` folds on-path
-deltas.
-
-Scenarios covered:
-
-1. **Basic migration (sync + async)**: build pre-migration state with
-   `BinaryOperatorAggregate`, swap the annotation to `DeltaChannel` on
-   the same checkpointer, and verify that every settled pre-migration
-   super-step boundary (`next=('__start__',)`) round-trips exactly
-   under the delta-channel view.
-2. **Time travel into a pre-migration checkpoint** after migration —
-   `graph.get_state(pre_migration_config)` at a settled ancestor
-   returns the same state as under the binop channel.
-3. **Continuing a migrated thread**: driving one more super-step after
-   migration produces a state that includes the pre-migration settled
-   prefix plus the new delta write — proving `from_checkpoint(seed)` +
-   `replay_writes` correctly fold post-migration deltas onto the
-   pre-migration seed.
-4. **Base-saver fallback path**: a third-party-style subclass that
-   removes the optimized `InMemorySaver` override and falls back to
-   `BaseCheckpointSaver.get_delta_channel_history` must produce the same
-   result as the optimized path.
-5. **Channel-type isolation across threads**: two threads on the same
-   checkpointer under the delta-channel graph — one freshly-started,
-   one migrated from pre-migration state — don't cross-contaminate.
-   The parent-chain walk is scoped to the thread.
-
-TODO: add postgres variants in the existing `libs/checkpoint-postgres`
-test files (different fixture setup; not this file).
-"""
-
-from __future__ import annotations
-
-import operator
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.messages import AIMessage, HumanMessage
-from langgraph.checkpoint.memory import InMemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, START, StateGraph
-from langgraph.graph.message import _messages_delta_reducer, add_messages
-
-pytestmark = pytest.mark.anyio
-
-
-# ---------------------------------------------------------------------------
-# Graph factories
-#
-# A minimal reducer (`operator.add` on lists of str) with a noop node keeps
-# state change localized to the HumanMessage-like payload passed through
-# `invoke`. That isolates the pre/post-migration parity assertions to
-# channel-hydration semantics.
-# ---------------------------------------------------------------------------
-
-
-def _noop(_state: Any) -> dict:
-    return {}
-
-
-def _list_concat(state: list, writes: list) -> list:
-    result = list(state)
-    for w in writes:
-        result.extend(w if isinstance(w, list) else [w])
-    return result
-
-
-def _binop_graph(checkpointer: Any) -> Any:
-    class BinopState(TypedDict):
-        items: Annotated[list, BinaryOperatorAggregate(list, operator.add)]
-
-    return (
-        StateGraph(BinopState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def _delta_graph(checkpointer: Any) -> Any:
-    class DeltaState(TypedDict):
-        items: Annotated[list, DeltaChannel(_list_concat)]
-
-    return (
-        StateGraph(DeltaState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def _drive(graph: Any, config: dict, tag: str, n: int) -> None:
-    for i in range(n):
-        graph.invoke({"items": [f"{tag}{i}"]}, config)
-
-
-async def _adrive(graph: Any, config: dict, tag: str, n: int) -> None:
-    for i in range(n):
-        await graph.ainvoke({"items": [f"{tag}{i}"]}, config)
-
-
-def _settled_boundaries(history: list) -> list[tuple[dict, list]]:
-    """Return `[(config, items), ...]` for every checkpoint in `history`
-    whose `next == ('__start__',)` — the stable boundaries between invokes.
-    """
-    return [
-        (s.config, list(s.values.get("items", [])))
-        for s in history
-        if s.next == ("__start__",)
-    ]
-
-
-# ---------------------------------------------------------------------------
-# 1. Basic migration (sync + async)
-# ---------------------------------------------------------------------------
-
-
-def test_basic_migration_preserves_pre_migration_state() -> None:
-    """Build state under `BinaryOperatorAggregate`, migrate to
-    `DeltaChannel` on the same checkpointer, and verify that every
-    settled pre-migration super-step boundary round-trips exactly.
-
-    Settled boundaries (`next=('__start__',)`) are the stable hydration
-    targets for the migration path: writes that produced the NEXT
-    super-step are kept as `pending_writes` on the ancestor, so walking
-    from a descendant finds the ancestor's blob as the seed and
-    reconstructs the correct state.
-    """
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "basic-sync"}}
-
-    # Pre-migration: accumulate items across 3 invokes.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 3)
-
-    pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
-    assert len(pre_boundaries) >= 2, "expected multiple settled boundaries"
-
-    # Migrate: swap the annotation on the same checkpointer.
-    delta = _delta_graph(checkpointer)
-
-    for cfg, items in pre_boundaries:
-        snap = delta.get_state(cfg)
-        assert list(snap.values.get("items", [])) == items, (
-            f"snapshot mismatch at {cfg['configurable']['checkpoint_id']}: "
-            f"expected {items}, got {snap.values.get('items', [])}"
-        )
-
-
-async def test_basic_migration_preserves_pre_migration_state_async() -> None:
-    """Async variant of the basic migration scenario."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "basic-async"}}
-
-    binop = _binop_graph(checkpointer)
-    await _adrive(binop, config, "u", 3)
-
-    pre_history = [s async for s in binop.aget_state_history(config)]
-    pre_boundaries = _settled_boundaries(pre_history)
-    assert len(pre_boundaries) >= 2
-
-    delta = _delta_graph(checkpointer)
-
-    for cfg, items in pre_boundaries:
-        snap = await delta.aget_state(cfg)
-        assert list(snap.values.get("items", [])) == items, (
-            f"async snapshot mismatch at {cfg['configurable']['checkpoint_id']}"
-        )
-
-
-# ---------------------------------------------------------------------------
-# 2. Time travel into a pre-migration checkpoint after migration
-# ---------------------------------------------------------------------------
-
-
-def test_time_travel_into_pre_migration_checkpoint() -> None:
-    """After migration, `graph.get_state(pre_migration_config)` at a
-    settled ancestor returns the state as stored at that point."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "time-travel"}}
-
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 3)
-
-    pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
-    assert pre_boundaries, "no settled ancestors to time-travel to"
-
-    delta = _delta_graph(checkpointer)
-
-    # Pick the oldest non-empty boundary — a long distance to walk back.
-    non_empty = [(cfg, items) for cfg, items in pre_boundaries if items]
-    assert non_empty, "expected at least one non-empty boundary"
-    target_cfg, expected_items = non_empty[-1]
-
-    snap = delta.get_state(target_cfg)
-    assert list(snap.values.get("items", [])) == expected_items
-
-
-# ---------------------------------------------------------------------------
-# 3. Continuing a migrated thread: deltas fold onto pre-migration seed
-# ---------------------------------------------------------------------------
-
-
-def test_continuing_migrated_thread_folds_deltas_on_seed() -> None:
-    """Resume a pre-migration settled ancestor via `invoke(None, cfg)`
-    under the delta-channel graph. Since the pre-migration checkpoint
-    has an existing `pending_writes` entry (the input for the NEXT
-    super-step), re-running from that ancestor reproduces the same
-    post-ancestor state as the original binop run.
-
-    This proves the seed-terminator + write-replay pipeline works
-    end-to-end across the migration boundary.
-    """
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "continue"}}
-
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 2)
-
-    # Pick the oldest settled boundary with non-empty state.
-    pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
-    target_cfg, seed_items = next(
-        (cfg, items) for cfg, items in reversed(pre_boundaries) if items
-    )
-    assert seed_items, "need a non-empty seed boundary"
-
-    # Migrate and resume from the pre-migration ancestor. `invoke(None,
-    # cfg)` replays the pending writes staged at `cfg` under the new
-    # channel; the reducer folds those deltas onto the seed.
-    delta = _delta_graph(checkpointer)
-    result = delta.invoke(None, target_cfg)
-
-    # The resumed state must include the pre-migration seed items in order.
-    result_items = list(result.get("items", []))
-    for idx, prefix_item in enumerate(seed_items):
-        assert result_items[idx] == prefix_item, (
-            f"pre-migration seed item at {idx} not preserved: "
-            f"got {result_items[: idx + 1]}, expected {seed_items}"
-        )
-
-
-# ---------------------------------------------------------------------------
-# 4. Base-saver fallback path
-# ---------------------------------------------------------------------------
-
-
-class _ThirdPartyStyleSaver(InMemorySaver):
-    """Simulates a third-party saver that inherits the reference
-    `get_delta_channel_history` implementation from `BaseCheckpointSaver`
-    rather than overriding it.
-
-    We rebind the two methods to the base-class versions (via MRO) so
-    the fallback path is exercised even though the storage layer is
-    still the in-memory one.
-    """
-
-    # MRO: [_ThirdPartyStyleSaver, InMemorySaver, BaseCheckpointSaver, ...]
-    get_delta_channel_history = (  # type: ignore[assignment]
-        InMemorySaver.__mro__[1].get_delta_channel_history  # type: ignore[attr-defined]
-    )
-    aget_delta_channel_history = (  # type: ignore[assignment]
-        InMemorySaver.__mro__[1].aget_delta_channel_history  # type: ignore[attr-defined]
-    )
-
-
-def test_base_saver_fallback_matches_optimized_override() -> None:
-    """The reference `BaseCheckpointSaver` implementation must produce
-    the same migration behavior as the optimized `InMemorySaver`
-    override. We drive the same migration scenario through both savers
-    and assert per-snapshot parity in the delta-channel view."""
-
-    # Fast path: optimized InMemorySaver override.
-    fast_saver = InMemorySaver()
-    fast_config = {"configurable": {"thread_id": "fast"}}
-    fast_binop = _binop_graph(fast_saver)
-    _drive(fast_binop, fast_config, "u", 3)
-    fast_delta = _delta_graph(fast_saver)
-    fast_history = [
-        (s.next, list(s.values.get("items", [])))
-        for s in fast_delta.get_state_history(fast_config)
-    ]
-
-    # Slow path: base-class fallback.
-    slow_saver = _ThirdPartyStyleSaver()
-    slow_config = {"configurable": {"thread_id": "slow"}}
-    slow_binop = _binop_graph(slow_saver)
-    _drive(slow_binop, slow_config, "u", 3)
-    slow_delta = _delta_graph(slow_saver)
-    slow_history = [
-        (s.next, list(s.values.get("items", [])))
-        for s in slow_delta.get_state_history(slow_config)
-    ]
-
-    assert slow_history == fast_history, (
-        "base-saver fallback should match optimized-override behavior; "
-        f"fast={fast_history}, slow={slow_history}"
-    )
-
-
-# ---------------------------------------------------------------------------
-# 5. Thread isolation under mixed-generation storage
-# ---------------------------------------------------------------------------
-
-
-def test_delta_and_migrated_threads_do_not_cross_contaminate() -> None:
-    """Two threads sharing a checkpointer — one migrated from
-    pre-migration state, one freshly-started under DeltaChannel — must
-    maintain independent state. The parent-chain walk in
-    `get_delta_channel_history` must be scoped to the target thread.
-    """
-
-    checkpointer = InMemorySaver()
-    migrated_cfg = {"configurable": {"thread_id": "migrated"}}
-    fresh_cfg = {"configurable": {"thread_id": "fresh"}}
-
-    # Thread A: pre-migration build-up.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, migrated_cfg, "m", 2)
-
-    # Thread B: fresh delta-channel run.
-    delta = _delta_graph(checkpointer)
-    _drive(delta, fresh_cfg, "f", 2)
-
-    # Thread A: migrate and confirm its state is anchored in its own
-    # thread's pre-migration history (tag 'm'), never mixing in tag 'f'.
-    migrated_boundaries = _settled_boundaries(
-        list(delta.get_state_history(migrated_cfg))
-    )
-    assert migrated_boundaries, "migrated thread has no settled boundaries"
-    for _, items in migrated_boundaries:
-        for it in items:
-            assert it.startswith("m"), (
-                f"migrated thread leaked item from other thread: {it}"
-            )
-
-    # Thread B: settled boundaries must only contain 'f' tags.
-    fresh_boundaries = _settled_boundaries(list(delta.get_state_history(fresh_cfg)))
-    assert fresh_boundaries, "fresh thread has no settled boundaries"
-    for _, items in fresh_boundaries:
-        for it in items:
-            assert it.startswith("f"), (
-                f"fresh thread leaked item from migrated thread: {it}"
-            )
-
-
-# ---------------------------------------------------------------------------
-# 6. Tip-of-pre-migration hydration: the latest checkpoint from a binop-run
-# thread has a real accumulated value in its own `channel_values["items"]`.
-# When hydrated under the delta-channel graph via `get_state(config)` with no
-# `checkpoint_id`, the short-circuit must use that value directly instead of
-# walking ancestors (which would skip the tip's own blob).
-# ---------------------------------------------------------------------------
-
-
-def test_tip_of_pre_migration_hydrates_directly() -> None:
-    """`graph.get_state(config)` at the latest (pre-migration) checkpoint
-    returns the full accumulated list stored in that checkpoint's own
-    `channel_values`. The hydration must not walk ancestors past it."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "tip-sync"}}
-
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 3)
-
-    binop_tip = binop.get_state(config)
-    expected_items = list(binop_tip.values.get("items", []))
-    assert expected_items == ["u0", "u1", "u2"], (
-        f"sanity: pre-migration tip should accumulate all 3 items, got {expected_items}"
-    )
-
-    delta = _delta_graph(checkpointer)
-
-    snap = delta.get_state(config)
-    assert list(snap.values.get("items", [])) == expected_items, (
-        f"tip hydration mismatch: expected {expected_items}, "
-        f"got {snap.values.get('items', [])}"
-    )
-
-
-async def test_tip_of_pre_migration_hydrates_directly_async() -> None:
-    """Async variant of the tip-of-pre-migration hydration scenario."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "tip-async"}}
-
-    binop = _binop_graph(checkpointer)
-    await _adrive(binop, config, "u", 3)
-
-    binop_tip = await binop.aget_state(config)
-    expected_items = list(binop_tip.values.get("items", []))
-    assert expected_items == ["u0", "u1", "u2"]
-
-    delta = _delta_graph(checkpointer)
-
-    snap = await delta.aget_state(config)
-    assert list(snap.values.get("items", [])) == expected_items, (
-        f"async tip hydration mismatch: expected {expected_items}, "
-        f"got {snap.values.get('items', [])}"
-    )
-
-
-# ---------------------------------------------------------------------------
-# 7. `update_state` after migration writes a real value to the new
-# checkpoint's `channel_values` (not a sentinel). Hydration must use it
-# directly — the ancestor walk would skip this blob and return stale state.
-# ---------------------------------------------------------------------------
-
-
-def test_update_state_after_migration_uses_written_value() -> None:
-    """After migrating and running at least one post-migration super-step
-    (so the thread's tip has its delta channel absent from `channel_values`,
-    or stored as a `_DeltaSnapshot` on a snapshot step), `update_state`
-    writes a concrete value into a new checkpoint's `channel_values`.
-    `get_state` must reflect that concrete value."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "update-state"}}
-
-    # Pre-migration: accumulate a little state.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 2)
-
-    # Migrate and run one more super-step so the tip is a post-migration
-    # checkpoint where the delta channel is absent from `channel_values`
-    # (no snapshot fired this step).
-    delta = _delta_graph(checkpointer)
-    delta.invoke({"items": ["post"]}, config)
-
-    # `update_state` writes a concrete value into a new checkpoint's blob
-    # via the reducer against the hydrated prior state.
-    delta.update_state(config, {"items": ["x", "y"]})
-
-    snap = delta.get_state(config)
-    updated_items = list(snap.values.get("items", []))
-    # Must include the "x","y" update; without the hydration fix, the
-    # update_state-written blob would be skipped in favor of an ancestor
-    # walk, and the update values would disappear.
-    assert "x" in updated_items and "y" in updated_items, (
-        f"update_state values missing from snapshot: {updated_items}"
-    )
-    # The "x","y" items should be folded onto the prior accumulated state,
-    # not stand alone. This verifies the update-written blob is used
-    # directly by `get_state` (no ancestor walk past it).
-    assert len(updated_items) >= 4, (
-        f"update_state snapshot should preserve pre-update state, got {updated_items}"
-    )
-    assert updated_items[-2:] == ["x", "y"], (
-        f"update_state deltas should be at the tail, got {updated_items}"
-    )
-
-
-# ---------------------------------------------------------------------------
-# 8. Fork from an `update_state` checkpoint: a new run branched off the
-# update_state-produced checkpoint must see that checkpoint's concrete
-# `channel_values` as its base, with new deltas folded on top.
-# ---------------------------------------------------------------------------
-
-
-def test_fork_from_update_state_checkpoint() -> None:
-    """Branching a new run from the checkpoint produced by `update_state`
-    must use that checkpoint's concrete blob as the base. Additional
-    deltas from the forked run fold onto it through the reducer."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "fork"}}
-
-    # Pre-migration build-up, then migrate and add one post-migration step.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 2)
-    delta = _delta_graph(checkpointer)
-    delta.invoke({"items": ["post"]}, config)
-
-    # Apply `update_state` and capture the returned config (references
-    # the new checkpoint produced by the update).
-    update_cfg = delta.update_state(config, {"items": ["x", "y"]})
-
-    update_snap = delta.get_state(update_cfg)
-    base_items = list(update_snap.values.get("items", []))
-    assert "x" in base_items and "y" in base_items, (
-        f"update_state values missing from snapshot: {base_items}"
-    )
-    assert base_items[-2:] == ["x", "y"], (
-        f"sanity: update_state deltas should be at the tail, got {base_items}"
-    )
-
-    # Fork: invoke from the update_state checkpoint with a new delta.
-    forked = delta.invoke({"items": ["fork0"]}, update_cfg)
-    forked_items = list(forked.get("items", []))
-    # The fork must see the update_state-written blob as its base (not
-    # walk past it), and the new delta must fold on top of it.
-    assert forked_items[: len(base_items)] == base_items, (
-        f"fork lost update_state base: base={base_items}, forked={forked_items}"
-    )
-    assert forked_items[-1] == "fork0", f"fork delta not appended: {forked_items}"
-
-
-# ---------------------------------------------------------------------------
-# 9. Migration from `add_messages` → `DeltaChannel(_messages_delta_reducer)`
-#
-# `add_messages` is the primary real-world use case: it creates a
-# BinaryOperatorAggregate with dedup-by-ID and RemoveMessage semantics.
-# After swapping the annotation to DeltaChannel, pre-migration blobs
-# (plain lists of Message objects) must be used directly as the seed.
-# ---------------------------------------------------------------------------
-
-
-def _add_messages_graph(checkpointer: Any) -> Any:
-    class MessagesState(TypedDict):
-        messages: Annotated[list, add_messages]
-
-    return (
-        StateGraph(MessagesState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def _delta_messages_graph(checkpointer: Any) -> Any:
-    class DeltaMessagesState(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    return (
-        StateGraph(DeltaMessagesState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def test_add_messages_to_delta_migration_preserves_message_history() -> None:
-    """Migration from `add_messages` to `DeltaChannel(_messages_delta_reducer)`
-    preserves message ordering and IDs at both the tip and settled ancestor
-    boundaries.
-
-    The pre-migration blob is a plain list of Message objects; DeltaChannel
-    must use it directly as the seed without walking ancestors past it.
-    """
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "add-messages-migration"}}
-
-    pre_graph = _add_messages_graph(checkpointer)
-    pre_graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
-    pre_graph.invoke({"messages": [AIMessage(content="hi", id="a1")]}, config)
-    pre_graph.invoke({"messages": [HumanMessage(content="thanks", id="h2")]}, config)
-
-    pre_tip = pre_graph.get_state(config)
-    assert [m.id for m in pre_tip.values["messages"]] == ["h1", "a1", "h2"]
-
-    delta_graph = _delta_messages_graph(checkpointer)
-
-    # Tip: latest checkpoint has a full list blob — must use it directly.
-    snap = delta_graph.get_state(config)
-    assert [m.id for m in snap.values["messages"]] == ["h1", "a1", "h2"], (
-        f"tip hydration mismatch: got {[m.id for m in snap.values['messages']]}"
-    )
-
-    # Settled ancestor boundaries must also match.
-    pre_settled = [
-        [m.id for m in s.values.get("messages", [])]
-        for s in pre_graph.get_state_history(config)
-        if s.next == ("__start__",)
-    ]
-    delta_settled = [
-        [m.id for m in s.values.get("messages", [])]
-        for s in delta_graph.get_state_history(config)
-        if s.next == ("__start__",)
-    ]
-    assert delta_settled == pre_settled, (
-        f"settled boundary mismatch after migration: "
-        f"pre={pre_settled}, delta={delta_settled}"
-    )
-
-
-async def test_add_messages_to_delta_migration_preserves_message_history_async() -> (
-    None
-):
-    """Async variant of the add_messages migration test."""
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "add-messages-migration-async"}}
-
-    pre_graph = _add_messages_graph(checkpointer)
-    await pre_graph.ainvoke(
-        {"messages": [HumanMessage(content="hello", id="h1")]}, config
-    )
-    await pre_graph.ainvoke({"messages": [AIMessage(content="hi", id="a1")]}, config)
-
-    delta_graph = _delta_messages_graph(checkpointer)
-    snap = await delta_graph.aget_state(config)
-    assert [m.id for m in snap.values["messages"]] == ["h1", "a1"], (
-        f"async tip hydration mismatch: got {[m.id for m in snap.values['messages']]}"
-    )
@@ -275,70 +275,3 @@ def test_graph_callbacks_accept_base_callback_manager() -> None:

    assert "__interrupt__" in first
    assert len(graph_handler.interrupt_events) == 1
-
-
-def test_non_graph_handler_via_add_handler_does_not_crash() -> None:
-    """Non-GraphCallbackHandler added via add_handler should not raise.
-
-    Libraries like opentelemetry-instrumentation-langchain monkey-patch
-    BaseCallbackManager.__init__ and inject handlers via add_handler().
-    These handlers inherit from BaseCallbackHandler, not
-    GraphCallbackHandler. They must be silently accepted — graph lifecycle
-    events will simply not be dispatched to them.
-    """
-    from langgraph.callbacks import _GraphCallbackManager
-
-    manager = _GraphCallbackManager()
-    plain_handler = _LangChainCustomEventHandler()
-
-    manager.add_handler(plain_handler, inherit=True)
-    assert plain_handler in manager.handlers
-
-
-def test_non_graph_handler_does_not_receive_lifecycle_events() -> None:
-    """Non-GraphCallbackHandler added alongside a GraphCallbackHandler
-    should not interfere with lifecycle event dispatch."""
-    graph = _build_interrupt_graph()
-    graph_handler = _GraphEventHandler()
-    plain_handler = _LangChainCustomEventHandler()
-
-    config = {
-        "configurable": {"thread_id": "graph-callback-mixed-handlers"},
-        "callbacks": [plain_handler, graph_handler],
-    }
-
-    first = graph.invoke({"answer": None}, config)
-    assert "__interrupt__" in first
-
-    assert len(graph_handler.interrupt_events) == 1
-    assert plain_handler.events == []
-
-    resumed = graph.invoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-    assert len(graph_handler.resume_events) == 1
-    assert plain_handler.events == []
-
-
-@pytest.mark.anyio
-@NEEDS_CONTEXTVARS
-async def test_non_graph_handler_does_not_receive_lifecycle_events_async() -> None:
-    """Async variant: non-GraphCallbackHandler should not interfere."""
-    graph = _build_interrupt_graph()
-    graph_handler = _GraphEventHandler()
-    plain_handler = _LangChainCustomEventHandler()
-
-    config = {
-        "configurable": {"thread_id": "graph-callback-mixed-handlers-async"},
-        "callbacks": [plain_handler, graph_handler],
-    }
-
-    first = await graph.ainvoke({"answer": None}, config)
-    assert "__interrupt__" in first
-
-    assert len(graph_handler.interrupt_events) == 1
-    assert plain_handler.events == []
-
-    resumed = await graph.ainvoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-    assert len(graph_handler.resume_events) == 1
-    assert plain_handler.events == []
@@ -1,359 +0,0 @@
-"""Tests for arrival-ordered interleave and push stamps."""
-
-from __future__ import annotations
-
-import operator
-from typing import Annotated, Any
-
-import pytest
-from typing_extensions import TypedDict
-
-from langgraph.constants import END, START
-from langgraph.graph import StateGraph
-from langgraph.stream import StreamChannel, StreamTransformer
-from langgraph.stream._mux import StreamMux
-from langgraph.stream._types import ProtocolEvent
-from langgraph.stream.run_stream import GraphRunStream
-from langgraph.stream.transformers import ValuesTransformer
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-class _TwoChannelTransformer(StreamTransformer):
-    """Transformer that exposes two named channels for testing interleave."""
-
-    _native = True
-
-    def __init__(self, scope: tuple[str, ...] = ()) -> None:
-        super().__init__(scope)
-        self._alpha: StreamChannel[str] = StreamChannel("alpha")
-        self._beta: StreamChannel[str] = StreamChannel("beta")
-
-    def init(self) -> dict[str, Any]:
-        return {"alpha": self._alpha, "beta": self._beta}
-
-    def process(self, event: ProtocolEvent) -> bool:
-        return True
-
-
-class SimpleState(TypedDict):
-    value: str
-    items: Annotated[list[str], operator.add]
-
-
-def _build_simple_graph():
-    def node_a(state: SimpleState) -> dict:
-        return {"value": state["value"] + "A", "items": ["a"]}
-
-    def node_b(state: SimpleState) -> dict:
-        return {"value": state["value"] + "B", "items": ["b"]}
-
-    builder = StateGraph(SimpleState)
-    builder.add_node("node_a", node_a)
-    builder.add_node("node_b", node_b)
-    builder.add_edge(START, "node_a")
-    builder.add_edge("node_a", "node_b")
-    builder.add_edge("node_b", END)
-    return builder.compile()
-
-
-# ---------------------------------------------------------------------------
-# Unit tests: push stamps on StreamChannel
-# ---------------------------------------------------------------------------
-
-
-class TestPushStamps:
-    def test_stamps_are_monotonic_across_channels(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        beta = mux.extensions["beta"]
-
-        alpha._subscribed = True
-        beta._subscribed = True
-
-        alpha.push("a1")
-        beta.push("b1")
-        alpha.push("a2")
-        beta.push("b2")
-
-        all_stamped = list(alpha._items) + list(beta._items)
-        stamps = [s for s, _ in all_stamped]
-        assert len(set(stamps)) == 4
-        items_by_arrival = [item for _, item in sorted(all_stamped)]
-        assert items_by_arrival == ["a1", "b1", "a2", "b2"]
-
-    def test_regular_iter_strips_stamps(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        it = iter(alpha)
-        alpha.push("a1")
-        alpha.push("a2")
-        alpha.close()
-        items = list(it)
-        assert items == ["a1", "a2"]
-        assert all(isinstance(item, str) for item in items)
-
-    def test_events_channel_gets_real_stamps(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-
-        alpha._subscribed = True
-        alpha.push("a1")
-
-        mux._events._subscribed = True
-        mux._events.push({"method": "test", "data": "x"})
-
-        alpha.push("a2")
-
-        all_stamps = [s for s, _ in alpha._items] + [s for s, _ in mux._events._items]
-        assert len(set(all_stamps)) == len(all_stamps), "all stamps should be unique"
-        assert all(s > 0 for s in all_stamps), "no stamp should be zero"
-
-    def test_channel_without_mux_gets_zero_stamp(self) -> None:
-        ch: StreamChannel[str] = StreamChannel()
-        ch._bind(is_async=False)
-        ch._subscribed = True
-        ch.push("x")
-        assert list(ch._items) == [(0, "x")]
-
-
-# ---------------------------------------------------------------------------
-# Unit tests: interleave arrival order
-# ---------------------------------------------------------------------------
-
-
-class TestInterleaveArrivalOrder:
-    def test_arrival_order_not_round_robin(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        beta = mux.extensions["beta"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        # interleave() subscribes channels directly and reads _items
-        # for stamp-ordered iteration. We simulate the pump by wiring
-        # a custom callback that pushes items in a known order.
-        push_script = [
-            ("alpha", "a1"),
-            ("alpha", "a2"),
-            ("beta", "b1"),
-            ("alpha", "a3"),
-            ("beta", "b2"),
-        ]
-        push_iter = iter(push_script)
-        channels = {"alpha": alpha, "beta": beta}
-
-        def fake_pump() -> bool:
-            try:
-                name, item = next(push_iter)
-                channels[name].push(item)
-                return True
-            except StopIteration:
-                mux.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha", "beta"))
-        names = [name for name, _ in result]
-        items = [item for _, item in result]
-
-        assert items == ["a1", "a2", "b1", "a3", "b2"]
-        assert names == ["alpha", "alpha", "beta", "alpha", "beta"]
-
-    def test_single_projection(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        push_script = [("alpha", "a1"), ("alpha", "a2")]
-        push_iter = iter(push_script)
-
-        def fake_pump() -> bool:
-            try:
-                _, item = next(push_iter)
-                alpha.push(item)
-                return True
-            except StopIteration:
-                mux.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha"))
-        assert result == [("alpha", "a1"), ("alpha", "a2")]
-
-    def test_empty_projection(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        push_script = [("alpha", "a1"), ("alpha", "a2")]
-        push_iter = iter(push_script)
-        channels = {"alpha": alpha}
-
-        def fake_pump() -> bool:
-            try:
-                name, item = next(push_iter)
-                channels[name].push(item)
-                return True
-            except StopIteration:
-                mux.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha", "beta"))
-        assert result == [("alpha", "a1"), ("alpha", "a2")]
-
-    def test_unknown_projection_raises(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        run = GraphRunStream(None, mux, wire_pump=False)
-        mux.close()
-        with pytest.raises((KeyError, AttributeError)):
-            list(run.interleave("alpha", "does_not_exist"))
-
-    def test_all_empty(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        def fake_pump() -> bool:
-            mux.close()
-            return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha", "beta"))
-        assert result == []
-
-    def test_error_propagation(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        beta = mux.extensions["beta"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        err = RuntimeError("boom")
-
-        push_script = [
-            ("alpha", "a1"),
-            ("beta", "b1"),
-        ]
-        push_iter = iter(push_script)
-        channels = {"alpha": alpha, "beta": beta}
-
-        def fake_pump() -> bool:
-            try:
-                name, item = next(push_iter)
-                channels[name].push(item)
-                return True
-            except StopIteration:
-                alpha.fail(err)
-                beta.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        collected = []
-        with pytest.raises(RuntimeError, match="boom"):
-            for pair in run.interleave("alpha", "beta"):
-                collected.append(pair)
-
-        assert ("alpha", "a1") in collected
-        assert ("beta", "b1") in collected
-
-
-# ---------------------------------------------------------------------------
-# Integration test: interleave with stream_events(version="v3")
-# ---------------------------------------------------------------------------
-
-
-class TestInterleaveIntegration:
-    def test_interleave_values_and_messages(self) -> None:
-        run = _build_simple_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        tagged = list(run.interleave("values", "messages"))
-        names = [name for name, _ in tagged]
-        assert set(names).issubset({"values", "messages"})
-        assert names.count("values") >= 1
-
-    def test_interleave_rejects_already_subscribed(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        # Subscribe alpha via iter first
-        _ = iter(alpha)
-        mux.close()
-
-        with pytest.raises(RuntimeError, match="already has a subscriber"):
-            list(run.interleave("alpha"))
-
-    def test_interleave_releases_projections_on_completion(self) -> None:
-        run = _build_simple_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        list(run.interleave("values", "messages"))
-        # Subscriptions should be released after the generator completes,
-        # so the channels can be re-iterated (they'll be empty / closed).
-        assert run.extensions["values"]._subscribed is False
-        assert run.extensions["messages"]._subscribed is False
-
-    def test_interleave_releases_projections_on_early_break(self) -> None:
-        run = _build_simple_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        gen = run.interleave("values", "messages")
-        next(gen)
-        gen.close()
-        assert run.extensions["values"]._subscribed is False
-        assert run.extensions["messages"]._subscribed is False
-
-    def test_interleave_releases_projections_on_validation_failure(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        # Pre-subscribe alpha so that interleave will fail validation when
-        # it gets to the second name. The first (already-validated) channel
-        # should still be released.
-        run = GraphRunStream(None, mux, wire_pump=False)
-        mux.close()
-        alpha._subscribed = True
-
-        with pytest.raises(RuntimeError, match="already has a subscriber"):
-            list(run.interleave("values", "alpha"))
-
-        assert mux.extensions["values"]._subscribed is False
@@ -16,7 +16,7 @@ from typing import Annotated, Any, Literal, get_type_hints

 import pytest
 from langchain_core.language_models import GenericFakeChatModel
-from langchain_core.messages import AIMessage, AnyMessage, HumanMessage, RemoveMessage
+from langchain_core.messages import AIMessage, AnyMessage, HumanMessage
 from langchain_core.runnables import (
    RunnableConfig,
    RunnableLambda,
@@ -41,7 +41,6 @@ from typing_extensions import NotRequired, TypedDict

 from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL
 from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue
 from langgraph.channels.topic import Topic
@@ -50,7 +49,7 @@ from langgraph.config import get_stream_writer
 from langgraph.errors import GraphRecursionError, InvalidUpdateError, ParentCommand
 from langgraph.func import entrypoint, task
 from langgraph.graph import END, START, StateGraph
-from langgraph.graph.message import MessagesState, _messages_delta_reducer, add_messages
+from langgraph.graph.message import MessagesState, add_messages
 from langgraph.pregel import (
    NodeBuilder,
    Pregel,
@@ -121,29 +120,6 @@ def test_graph_validation() -> None:
        graph.invoke({"hello": "there"})


-def test_request_drain_allows_inflight_call_scheduling(
-    sync_checkpointer: BaseCheckpointSaver,
-) -> None:
-    from langgraph.runtime import RunControl
-
-    @task
-    def child(x: int) -> int:
-        return x + 1
-
-    control = RunControl()
-
-    @entrypoint(checkpointer=sync_checkpointer)
-    def graph(x: int) -> int:
-        control.request_drain()
-        fut = child(x)
-        return fut.result()
-
-    config = {"configurable": {"thread_id": "drain-call-sync"}}
-
-    assert graph.invoke(1, config=config, control=control) == 2
-    assert control.drain_requested
-
-
 def test_invalid_checkpointer_type() -> None:
    class State(TypedDict):
        foo: str
@@ -639,11 +615,8 @@ def test_run_from_checkpoint_id_retains_previous_writes(
        )
    ]

-    # +2: one fork checkpoint from time travel, one from the new execution
-    assert len(new_history) == len(history) + 2
-    # new_history[0] is the new execution result, new_history[1] is the fork
-    assert new_history[1].metadata["source"] == "fork"
-    for original, new in zip(history, new_history[2:]):
+    assert len(new_history) == len(history) + 1
+    for original, new in zip(history, new_history[1:]):
        assert original.values == new.values
        assert original.next == new.next
        assert original.metadata["step"] == new.metadata["step"]
@@ -651,7 +624,7 @@ def test_run_from_checkpoint_id_retains_previous_writes(
    def _get_tasks(hist: list, start: int):
        return [h.tasks for h in hist[start:]]

-    assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)


 def test_batch_two_processes_in_out() -> None:
@@ -9424,263 +9397,3 @@ def test_fork_does_not_apply_pending_writes(

    # Should be: 1 (input) + 20 (forked node_a) + 100 (node_b) = 121
    assert result == {"value": 121}
-
-
-async def test_delta_channel_end_to_end_inmemory() -> None:
-    """Full graph run: DeltaChannel accumulates correctly across multiple turns."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    def respond(state: State) -> dict:
-        n = len(state["messages"])
-        return {"messages": [AIMessage(content=f"reply-{n}", id=f"ai-{n}")]}
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_edge(START, "respond")
-    graph = builder.compile(checkpointer=InMemorySaver())
-
-    config = {"configurable": {"thread_id": "diff-test-1"}}
-
-    # Turn 1
-    graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
-    # Turn 2
-    graph.invoke({"messages": [HumanMessage(content="world", id="h2")]}, config)
-    # Turn 3
-    graph.invoke({"messages": [HumanMessage(content="bye", id="h3")]}, config)
-
-    state = graph.get_state(config)
-    msgs = state.values["messages"]
-    # 3 human + 3 AI = 6 total
-    assert len(msgs) == 6, f"expected 6 messages, got {len(msgs)}: {msgs}"
-    assert msgs[0].content == "hello"
-    assert msgs[2].content == "world"
-    assert msgs[4].content == "bye"
-    assert msgs[1].content == "reply-1"
-    assert msgs[3].content == "reply-3"
-    assert msgs[5].content == "reply-5"
-
-
-async def test_delta_channel_time_travel() -> None:
-    """Time-travel back to turn-1 checkpoint and resume; continuation must not include turn-2 deltas."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    counter = {"n": 0}
-
-    def respond(state: State) -> dict:
-        counter["n"] += 1
-        return {
-            "messages": [
-                AIMessage(content=f"ai-{counter['n']}", id=f"ai-{counter['n']}")
-            ]
-        }
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_edge(START, "respond")
-    saver = InMemorySaver()
-    graph = builder.compile(checkpointer=saver)
-
-    config = {"configurable": {"thread_id": "diff-time-travel"}}
-
-    # Run 2 turns: h1→ai-1, h2→ai-2
-    graph.invoke({"messages": [HumanMessage(content="h1", id="h1")]}, config)
-    graph.invoke({"messages": [HumanMessage(content="h2", id="h2")]}, config)
-
-    # Find the checkpoint after turn 1 (2 messages: h1 + ai-1)
-    history = list(graph.get_state_history(config))
-    after_turn1 = next(h for h in history if len(h.values.get("messages", [])) == 2)
-
-    assert len(after_turn1.values["messages"]) == 2
-    assert after_turn1.values["messages"][0].content == "h1"
-    assert after_turn1.values["messages"][1].content == "ai-1"
-
-    # Resume from turn-1 checkpoint: inject h3, expect 3 messages total (h1, ai-1, ai-N)
-    # NOT 5 messages (turn-2 deltas must not bleed into the resumed run)
-    result = graph.invoke(
-        {"messages": [HumanMessage(content="h3", id="h3")]},
-        after_turn1.config,
-    )
-    msgs = result["messages"]
-    # Should be: h1, ai-1, h3, ai-N — 4 messages total
-    assert len(msgs) == 4, (
-        f"expected 4 messages after time-travel resume, got {len(msgs)}: {msgs}"
-    )
-    assert msgs[0].content == "h1"
-    assert msgs[1].content == "ai-1"
-    assert msgs[2].content == "h3"
-
-
-async def test_delta_channel_remove_message_end_to_end() -> None:
-    """RemoveMessage inside a DeltaChannel graph must persist and reload correctly."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    def respond(state: State) -> dict:
-        return {"messages": [AIMessage(content="reply", id="ai-1")]}
-
-    def delete_first(state: State) -> dict:
-        # removes the first message
-        return {"messages": [RemoveMessage(id=state["messages"][0].id)]}
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_node("delete_first", delete_first)
-    builder.add_edge(START, "respond")
-    builder.add_edge("respond", "delete_first")
-    graph = builder.compile(checkpointer=InMemorySaver())
-
-    config = {"configurable": {"thread_id": "diff-remove-test"}}
-    graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
-
-    state = graph.get_state(config)
-    msgs = state.values["messages"]
-    # h1 was removed, only ai-1 should remain
-    assert len(msgs) == 1, f"expected 1 message, got {len(msgs)}: {msgs}"
-    assert msgs[0].id == "ai-1"
-
-    # A subsequent turn must reconstruct from the checkpoint correctly
-    graph.invoke({"messages": [HumanMessage(content="again", id="h2")]}, config)
-    state = graph.get_state(config)
-    msgs = state.values["messages"]
-    # ai-1 + h2 + ai-1(second reply, same id overwrites) + h2 removed
-    # more simply: after second run we expect ai-1 updated + h2 remaining minus deleted h2
-    # just assert h1 is still gone
-    assert all(m.id != "h1" for m in msgs), (
-        "h1 should still be absent after second turn"
-    )
-
-
-async def test_delta_channel_update_by_id_end_to_end() -> None:
-    """Updating a message by ID via DeltaChannel must persist and reload correctly."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    def update_msg(state: State) -> dict:
-        # re-send h1 with updated content
-        return {"messages": [HumanMessage(content="updated", id="h1")]}
-
-    builder = StateGraph(State)
-    builder.add_node("update_msg", update_msg)
-    builder.add_edge(START, "update_msg")
-    graph = builder.compile(checkpointer=InMemorySaver())
-
-    config = {"configurable": {"thread_id": "diff-update-id-test"}}
-    graph.invoke({"messages": [HumanMessage(content="original", id="h1")]}, config)
-
-    state = graph.get_state(config)
-    msgs = state.values["messages"]
-    assert len(msgs) == 1, f"expected 1 message, got {len(msgs)}: {msgs}"
-    assert msgs[0].content == "updated"
-    assert msgs[0].id == "h1"
-
-    # Second turn: verify the updated state is the base for further accumulation
-    graph.invoke({"messages": [HumanMessage(content="new", id="h2")]}, config)
-    state = graph.get_state(config)
-    msgs = state.values["messages"]
-    ids = [m.id for m in msgs]
-    assert "h1" in ids  # h1 persists (updated, not duplicated)
-    assert "h2" in ids
-    assert ids.count("h1") == 1, "h1 must not be duplicated"
-
-
-async def test_delta_channel_durability_exit_stores_snapshot() -> None:
-    """DeltaChannel must reload from a durability='exit' checkpoint."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    def respond(state: State) -> dict:
-        return {"messages": [AIMessage(content="reply", id="ai1")]}
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_edge(START, "respond")
-    graph = builder.compile(checkpointer=InMemorySaver())
-    config = {"configurable": {"thread_id": "delta-exit-test"}}
-
-    result = graph.invoke(
-        {"messages": [HumanMessage(content="hello", id="h1")]},
-        config,
-        durability="exit",
-    )
-    assert [m.content for m in result["messages"]] == ["hello", "reply"]
-
-    state = graph.get_state(config)
-    assert [m.content for m in state.values["messages"]] == ["hello", "reply"]
-
-
-async def test_delta_channel_async_write_ordering() -> None:
-    """In async mode, DeltaChannel write futures are awaited before the checkpoint
-    is committed, so aput_writes always precedes aput for delta-channel
-    checkpoints (those where the delta channel had a versioned write but
-    is absent from `channel_values`, i.e. no snapshot fired this step)."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    def respond(state: State) -> dict:
-        i = len(state["messages"])
-        return {"messages": [AIMessage(content=f"r{i}", id=f"ai{i}")]}
-
-    order: list[str] = []
-    original_aput_writes = InMemorySaver.aput_writes
-    original_aput = InMemorySaver.aput
-
-    async def tracked_aput_writes(self, config, writes, task_id, task_path=""):
-        result = await original_aput_writes(self, config, writes, task_id, task_path)
-        order.append("aput_writes")
-        return result
-
-    async def tracked_aput(self, config, checkpoint, metadata, new_versions):
-        # A "delta" checkpoint here = `messages` versioned but absent from
-        # `channel_values` (no snapshot fired). When a snapshot does fire,
-        # `channel_values["messages"]` is a `_DeltaSnapshot` — also a delta
-        # checkpoint shape, since the writes still have to be persisted
-        # before the parent checkpoint commits.
-        channel_values = checkpoint.get("channel_values", {})
-        is_delta_step = (
-            "messages" in checkpoint.get("channel_versions", {})
-            and "messages" not in channel_values
-        )
-        order.append("aput_delta" if is_delta_step else "aput_other")
-        return await original_aput(self, config, checkpoint, metadata, new_versions)
-
-    InMemorySaver.aput_writes = tracked_aput_writes
-    InMemorySaver.aput = tracked_aput
-    try:
-        builder = StateGraph(State)
-        builder.add_node("respond", respond)
-        builder.add_edge(START, "respond")
-        graph = builder.compile(checkpointer=InMemorySaver())
-        config = {"configurable": {"thread_id": "async-ordering-test"}}
-
-        for i in range(3):
-            await graph.ainvoke(
-                {"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")]}, config
-            )
-
-        # Every aput_delta must be preceded by at least one aput_writes
-        for i, event in enumerate(order):
-            if event == "aput_delta":
-                preceding = order[:i]
-                assert "aput_writes" in preceding, (
-                    f"aput_delta at {i} had no preceding aput_writes: {order}"
-                )
-                last_write_idx = max(
-                    j for j, e in enumerate(order[:i]) if e == "aput_writes"
-                )
-                assert last_write_idx < i, (
-                    f"aput_writes at {last_write_idx} should precede aput_delta at {i}: {order}"
-                )
-    finally:
-        InMemorySaver.aput_writes = original_aput_writes
-        InMemorySaver.aput = original_aput
-
-    state = await graph.aget_state(config)
-    assert len(state.values["messages"]) == 6  # 3 human + 3 AI
@@ -16,7 +16,6 @@ from typing import (
    Literal,
    Optional,
 )
-from unittest.mock import patch
 from uuid import UUID

 import pytest
@@ -49,7 +48,6 @@ from langgraph.channels.topic import Topic
 from langgraph.errors import (
    GraphRecursionError,
    InvalidUpdateError,
-    NodeError,
    ParentCommand,
 )
 from langgraph.func import entrypoint, task
@@ -217,30 +215,6 @@ async def test_checkpoint_errors() -> None:
            pass


-@NEEDS_CONTEXTVARS
-async def test_request_drain_allows_inflight_acall_scheduling(
-    async_checkpointer: BaseCheckpointSaver,
-) -> None:
-    from langgraph.runtime import RunControl
-
-    @task
-    async def child(x: int) -> int:
-        return x + 1
-
-    control = RunControl()
-
-    @entrypoint(checkpointer=async_checkpointer)
-    async def graph(x: int) -> int:
-        control.request_drain()
-        fut = child(x)
-        return await fut
-
-    config = {"configurable": {"thread_id": "drain-call-async"}}
-
-    assert await graph.ainvoke(1, config=config, control=control) == 2
-    assert control.drain_requested
-
-
 async def test_py_async_with_cancel_behavior() -> None:
    """This test confirms that in all versions of Python we support, __aexit__
    is not cancelled when the coroutine containing the async with block is cancelled."""
@@ -2112,11 +2086,8 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
        )
    ]

-    # +2: one fork checkpoint from time travel, one from the new execution
-    assert len(new_history) == len(history) + 2
-    # new_history[0] is the new execution result, new_history[1] is the fork
-    assert new_history[1].metadata["source"] == "fork"
-    for original, new in zip(history, new_history[2:]):
+    assert len(new_history) == len(history) + 1
+    for original, new in zip(history, new_history[1:]):
        assert original.values == new.values
        assert original.next == new.next
        assert original.metadata["step"] == new.metadata["step"]
@@ -2124,7 +2095,7 @@ async def test_run_from_checkpoint_id_retains_previous_writes(
    def _get_tasks(hist: list, start: int):
        return [h.tasks for h in hist[start:]]

-    assert _get_tasks(new_history, 2) == _get_tasks(history, 0)
+    assert _get_tasks(new_history, 1) == _get_tasks(history, 0)


 async def test_cond_edge_after_send() -> None:
@@ -6127,36 +6098,6 @@ async def test_parent_command(
    )


-async def test_delta_channel_durability_exit_stores_snapshot_async() -> None:
-    """DeltaChannel must reload from an async durability='exit' checkpoint."""
-    from langchain_core.messages import AIMessage
-
-    from langgraph.channels.delta import DeltaChannel
-    from langgraph.graph.message import _messages_delta_reducer
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    async def respond(state: State) -> dict:
-        return {"messages": [AIMessage(content="reply", id="ai1")]}
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_edge(START, "respond")
-    graph = builder.compile(checkpointer=InMemorySaver())
-    config = {"configurable": {"thread_id": "delta-exit-async-test"}}
-
-    result = await graph.ainvoke(
-        {"messages": [HumanMessage(content="hello", id="h1")]},
-        config,
-        durability="exit",
-    )
-    assert [m.content for m in result["messages"]] == ["hello", "reply"]
-
-    state = await graph.aget_state(config)
-    assert [m.content for m in state.values["messages"]] == ["hello", "reply"]
-
-
@NEEDS_CONTEXTVARS
 async def test_interrupt_subgraph(async_checkpointer: BaseCheckpointSaver) -> None:
    class State(TypedDict):
@@ -9765,126 +9706,3 @@ async def test_fork_does_not_apply_pending_writes(

    # 1 (input) + 20 (forked node_a) + 100 (node_b) = 121
    assert result == {"value": 121}
-
-
-async def test_graph_error_handler_async_runtime_info() -> None:
-    class State(TypedDict):
-        foo: str
-
-    attempts = 0
-    captured: dict[str, object] = {}
-
-    async def always_failing_node(state: State) -> State:
-        nonlocal attempts
-        attempts += 1
-        raise ValueError("Always fails async")
-
-    async def err_handler_node(state: State, error: NodeError) -> State:
-        captured["from_node_name"] = error.node
-        captured["from_node_error"] = error.error
-        return {"foo": "handled_async"}
-
-    graph = (
-        StateGraph(State)
-        .add_node(
-            "always_failing",
-            always_failing_node,
-            retry_policy=RetryPolicy(
-                max_attempts=2,
-                initial_interval=0.01,
-                jitter=False,
-                retry_on=ValueError,
-            ),
-            error_handler=err_handler_node,
-        )
-        .add_edge(START, "always_failing")
-        .compile()
-    )
-
-    with patch("asyncio.sleep"):
-        result = await graph.ainvoke({"foo": ""})
-
-    assert attempts == 2
-    assert result["foo"] == "handled_async"
-    assert captured["from_node_name"] == "always_failing"
-    assert isinstance(captured["from_node_error"], BaseException)
-
-
-@NEEDS_CONTEXTVARS
-async def test_graph_error_handler_does_not_swallow_interrupt_concurrent() -> None:
-    """When a graph error handler is configured and a node calls interrupt()
-    concurrently with other nodes, the interrupt must still be raised — not
-    silently swallowed."""
-
-    class State(TypedDict):
-        foo: str
-
-    async def node_a(state: State) -> State:
-        val = interrupt("need human input")
-        return {"foo": f"a_{val}"}
-
-    async def node_b(state: State) -> State:
-        return {}
-
-    async def err_handler(state: State) -> State:
-        return {"foo": "handled"}
-
-    checkpointer = InMemorySaver()
-    graph = (
-        StateGraph(State)
-        .add_node("node_a", node_a, error_handler=err_handler)
-        .add_node("node_b", node_b)
-        .add_edge(START, "node_a")
-        .add_edge(START, "node_b")
-        .compile(checkpointer=checkpointer)
-    )
-
-    config = {"configurable": {"thread_id": "test-interrupt-concurrent-async"}}
-
-    await graph.ainvoke({"foo": ""}, config)
-
-    state = await graph.aget_state(config)
-    assert len(state.tasks) > 0
-
-    interrupts = [t for t in state.tasks if hasattr(t, "interrupts") and t.interrupts]
-    assert len(interrupts) > 0, (
-        "GraphInterrupt was swallowed — interrupt() in node_a "
-        "should have paused execution"
-    )
-
-
-async def test_node_error_handler_handles_subgraph_internal_failure_async() -> None:
-    class SubState(TypedDict):
-        foo: str
-
-    class ParentState(TypedDict):
-        foo: str
-
-    captured: dict[str, object] = {}
-
-    async def sub_fail_node(state: SubState) -> SubState:
-        raise ValueError("async subgraph boom")
-
-    async def parent_handler(state: ParentState, error: NodeError) -> ParentState:
-        captured["from_node_name"] = error.node
-        captured["from_node_error"] = error.error
-        return {"foo": "handled_async_subgraph"}
-
-    subgraph = (
-        StateGraph(SubState)
-        .add_node("sub_fail_node", sub_fail_node)
-        .add_edge(START, "sub_fail_node")
-        .compile()
-    )
-
-    parent_graph = (
-        StateGraph(ParentState)
-        .add_node("subgraph_node", subgraph, error_handler=parent_handler)
-        .add_edge(START, "subgraph_node")
-        .compile()
-    )
-
-    result = await parent_graph.ainvoke({"foo": ""})
-    assert result["foo"] == "handled_async_subgraph"
-    assert captured["from_node_name"] == "subgraph_node"
-    assert isinstance(captured["from_node_error"], BaseException)
@@ -1,6 +1,3 @@
-import asyncio
-import threading
-import time
 from dataclasses import dataclass
 from typing import Any

@@ -9,15 +6,8 @@ from langgraph.checkpoint.memory import MemorySaver
 from pydantic import BaseModel, ValidationError
 from typing_extensions import TypedDict

-from langgraph.errors import GraphDrained
 from langgraph.graph import END, START, StateGraph
-from langgraph.runtime import (
-    ExecutionInfo,
-    RunControl,
-    Runtime,
-    ServerInfo,
-    get_runtime,
-)
+from langgraph.runtime import ExecutionInfo, Runtime, ServerInfo, get_runtime


 def test_injected_runtime() -> None:
@@ -89,183 +79,6 @@ def test_merge_runtime() -> None:
    assert runtime1.merge(runtime3).context.api_key == "abc"  # type: ignore


-def test_merge_runtime_preserves_run_control() -> None:
-    control = RunControl()
-    runtime1 = Runtime(control=control)
-    runtime2 = Runtime(context=None)
-
-    assert runtime1.merge(runtime2).control is control
-
-
-def test_run_control_request_drain_stops_future_steps() -> None:
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    control = RunControl()
-
-    def first_node(state: State) -> dict[str, str]:
-        control.request_drain()
-        return {"first": "done"}
-
-    def second_node(state: State) -> dict[str, str]:
-        return {"second": "should-not-run"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", first_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    with pytest.raises(GraphDrained, match="shutdown"):
-        graph.compile().invoke({}, control=control)
-
-
-@pytest.mark.anyio
-async def test_run_control_request_drain_stops_future_steps_async() -> None:
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    control = RunControl()
-
-    async def first_node(state: State) -> dict[str, str]:
-        control.request_drain()
-        return {"first": "done"}
-
-    async def second_node(state: State) -> dict[str, str]:
-        return {"second": "should-not-run"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", first_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    with pytest.raises(GraphDrained, match="shutdown"):
-        await graph.compile().ainvoke({}, control=control)
-
-
-def test_drain_requested_in_terminal_step_finishes_normally() -> None:
-    class State(TypedDict, total=False):
-        value: str
-
-    control = RunControl()
-
-    def node(state: State) -> dict[str, str]:
-        control.request_drain()
-        return {"value": "done"}
-
-    graph = StateGraph(State)
-    graph.add_node("node", node)
-    graph.add_edge(START, "node")
-    graph.add_edge("node", END)
-
-    assert graph.compile().invoke({}, control=control) == {"value": "done"}
-    assert control.drain_requested
-
-
-def test_drain_with_exit_durability_persists_resume_checkpoint() -> None:
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    control = RunControl()
-
-    def first_node(state: State) -> dict[str, str]:
-        control.request_drain("sigterm")
-        return {"first": "done"}
-
-    def second_node(state: State) -> dict[str, str]:
-        return {"second": "done"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", first_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    compiled = graph.compile(checkpointer=MemorySaver())
-    config = {"configurable": {"thread_id": "drain-exit"}}
-
-    with pytest.raises(GraphDrained, match="sigterm"):
-        compiled.invoke({}, config, durability="exit", control=control)
-
-    assert compiled.invoke(None, config, durability="exit") == {
-        "first": "done",
-        "second": "done",
-    }
-
-
-def test_drain_from_subgraph_can_resume_parent() -> None:
-    class State(TypedDict, total=False):
-        child_first: str
-        child_second: str
-        parent_second: str
-
-    control = RunControl()
-
-    def child_first(state: State) -> dict[str, str]:
-        control.request_drain("sigterm")
-        return {"child_first": "done"}
-
-    def child_second(state: State) -> dict[str, str]:
-        return {"child_second": "done"}
-
-    child_builder = StateGraph(State)
-    child_builder.add_node("child_first", child_first)
-    child_builder.add_node("child_second", child_second)
-    child_builder.add_edge(START, "child_first")
-    child_builder.add_edge("child_first", "child_second")
-    child_builder.add_edge("child_second", END)
-    child_graph = child_builder.compile(checkpointer=True)
-
-    def parent_second(state: State) -> dict[str, str]:
-        return {"parent_second": "done"}
-
-    parent_builder = StateGraph(State)
-    parent_builder.add_node("child", child_graph)
-    parent_builder.add_node("parent_second", parent_second)
-    parent_builder.add_edge(START, "child")
-    parent_builder.add_edge("child", "parent_second")
-    parent_builder.add_edge("parent_second", END)
-
-    compiled = parent_builder.compile(checkpointer=MemorySaver())
-    config = {"configurable": {"thread_id": "drain-subgraph"}}
-
-    with pytest.raises(GraphDrained, match="sigterm"):
-        compiled.invoke({}, config, control=control)
-
-    assert compiled.invoke(None, config) == {
-        "child_first": "done",
-        "child_second": "done",
-        "parent_second": "done",
-    }
-
-
-@pytest.mark.anyio
-async def test_drain_requested_in_terminal_step_finishes_normally_async() -> None:
-    class State(TypedDict, total=False):
-        value: str
-
-    control = RunControl()
-
-    async def node(state: State) -> dict[str, str]:
-        control.request_drain()
-        return {"value": "done"}
-
-    graph = StateGraph(State)
-    graph.add_node("node", node)
-    graph.add_edge(START, "node")
-    graph.add_edge("node", END)
-
-    assert await graph.compile().ainvoke({}, control=control) == {"value": "done"}
-    assert control.drain_requested
-
-
 def test_runtime_propogated_to_subgraph() -> None:
    @dataclass
    class Context:
@@ -579,334 +392,6 @@ def test_context_coercion_pydantic_validation_errors() -> None:
        )


-def test_external_drain_concurrent_sync() -> None:
-    """External thread calls request_drain() while graph is mid-execution."""
-
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    started = threading.Event()
-
-    def first_node(state: State) -> dict[str, str]:
-        started.set()
-        time.sleep(0.05)
-        return {"first": "done"}
-
-    def second_node(state: State) -> dict[str, str]:
-        return {"second": "should-not-run"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", first_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    control = RunControl()
-    compiled = graph.compile()
-
-    exc_holder: list[BaseException | None] = [None]
-
-    def run_graph() -> None:
-        try:
-            compiled.invoke({}, control=control)
-        except GraphDrained as e:
-            exc_holder[0] = e
-
-    t = threading.Thread(target=run_graph)
-    t.start()
-
-    started.wait(timeout=5)
-    control.request_drain("sigterm")
-
-    t.join(timeout=10)
-
-    exc = exc_holder[0]
-    assert isinstance(exc, GraphDrained)
-    assert exc.reason == "sigterm"
-
-
-@pytest.mark.anyio
-async def test_external_drain_concurrent_async() -> None:
-    """External task calls request_drain() while graph is mid-execution."""
-
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    started = asyncio.Event()
-
-    async def first_node(state: State) -> dict[str, str]:
-        started.set()
-        await asyncio.sleep(0.05)
-        return {"first": "done"}
-
-    async def second_node(state: State) -> dict[str, str]:
-        return {"second": "should-not-run"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", first_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    control = RunControl()
-    compiled = graph.compile()
-
-    async def drain_after_start() -> None:
-        await started.wait()
-        control.request_drain("sigterm")
-
-    drain_task = asyncio.create_task(drain_after_start())
-
-    with pytest.raises(GraphDrained, match="sigterm"):
-        await compiled.ainvoke({}, control=control)
-
-    await drain_task
-
-
-@pytest.mark.anyio
-async def test_drain_then_cancel_after_graceful_timeout() -> None:
-    """Simulate: drain requested -> node still running -> graceful timeout -> cancel.
-
-    This shows what happens when a long-running node doesn't finish within
-    the graceful period after drain is requested.
-    """
-
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    node_started = asyncio.Event()
-    node_cancelled = asyncio.Event()
-    node_finished = asyncio.Event()
-
-    async def slow_node(state: State) -> dict[str, str]:
-        node_started.set()
-        try:
-            await asyncio.sleep(30)  # very long operation
-        except asyncio.CancelledError:
-            node_cancelled.set()
-            raise
-        node_finished.set()
-        return {"first": "done"}
-
-    async def second_node(state: State) -> dict[str, str]:
-        return {"second": "should-not-run"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", slow_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    control = RunControl()
-    compiled = graph.compile()
-
-    # Phase 1: start graph
-    graph_task = asyncio.create_task(compiled.ainvoke({}, control=control))
-
-    # Phase 2: wait for node to start, then request drain
-    await node_started.wait()
-    control.request_drain("sigterm")
-
-    # Phase 3: graceful timeout — node is still running, cancel after 1s
-    graceful_timeout = 1.0
-    await asyncio.sleep(graceful_timeout)
-
-    assert not node_finished.is_set(), "node should still be running"
-    assert not node_cancelled.is_set(), "node should not be cancelled yet"
-
-    # Phase 4: force cancel
-    graph_task.cancel()
-
-    with pytest.raises(asyncio.CancelledError):
-        await graph_task
-
-    # The node received CancelledError at the await point
-    assert node_cancelled.is_set(), "node should have received CancelledError"
-    assert not node_finished.is_set(), "node should NOT have finished normally"
-
-
-@pytest.mark.anyio
-async def test_cancel_ainvoke_with_async_node() -> None:
-    """Cancel ainvoke running an async node: CancelledError is delivered
-    at the await point and the node stops immediately."""
-
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    timeline: list[str] = []
-    node_started = asyncio.Event()
-
-    async def slow_async_node(state: State) -> dict[str, str]:
-        timeline.append(f"async_node:start thread={threading.current_thread().name}")
-        node_started.set()
-        try:
-            await asyncio.sleep(30)
-        except asyncio.CancelledError:
-            timeline.append("async_node:cancelled")
-            raise
-        timeline.append("async_node:finished")
-        return {"first": "done"}
-
-    async def second_node(state: State) -> dict[str, str]:
-        timeline.append("second_node:run")
-        return {"second": "should-not-run"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", slow_async_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    compiled = graph.compile()
-    graph_task = asyncio.create_task(compiled.ainvoke({}))
-
-    await node_started.wait()
-    timeline.append("test:cancel")
-    graph_task.cancel()
-
-    with pytest.raises(asyncio.CancelledError):
-        await graph_task
-    timeline.append("test:done")
-
-    # async node runs on the event loop thread (MainThread)
-    assert any("MainThread" in e for e in timeline if "async_node:start" in e)
-    # CancelledError was delivered at the await point — node stopped
-    assert "async_node:cancelled" in timeline
-    # Node did NOT run to completion
-    assert "async_node:finished" not in timeline
-    # Second node never ran
-    assert "second_node:run" not in timeline
-
-
-@pytest.mark.anyio
-async def test_cancel_ainvoke_with_sync_node() -> None:
-    """Cancel ainvoke running a sync node.
-
-    Sync nodes in ainvoke run on a separate thread (via run_in_executor),
-    NOT on the event loop thread. Cancelling the asyncio task disconnects
-    from the thread future, but the thread keeps running as an orphan and
-    completes on its own.
-
-    Key difference from async nodes:
-    - async node: CancelledError stops the coroutine at an await point
-    - sync node: cancel only disconnects asyncio; the thread runs to completion
-
-    In shutdown case, we will ignore this because the instance will be destroyed soon.
-    """
-
-    class State(TypedDict, total=False):
-        first: str
-        second: str
-
-    timeline: list[str] = []
-    node_started = threading.Event()
-    node_finished = threading.Event()
-
-    def slow_sync_node(state: State) -> dict[str, str]:
-        timeline.append(f"sync_node:start thread={threading.current_thread().name}")
-        node_started.set()
-        time.sleep(1)
-        timeline.append("sync_node:after_sleep")
-        node_finished.set()
-        return {"first": "done"}
-
-    def second_node(state: State) -> dict[str, str]:
-        timeline.append("second_node:run")
-        return {"second": "should-not-run"}
-
-    graph = StateGraph(State)
-    graph.add_node("first", slow_sync_node)
-    graph.add_node("second", second_node)
-    graph.add_edge(START, "first")
-    graph.add_edge("first", "second")
-    graph.add_edge("second", END)
-
-    control = RunControl()
-    compiled = graph.compile()
-
-    timeline.append(f"test:main thread={threading.current_thread().name}")
-    graph_task = asyncio.create_task(compiled.ainvoke({}, control=control))
-
-    loop = asyncio.get_event_loop()
-    await loop.run_in_executor(None, node_started.wait, 5)
-
-    timeline.append("test:cancel+drain")
-    graph_task.cancel()
-    control.request_drain("sigterm")
-
-    with pytest.raises(asyncio.CancelledError):
-        await graph_task
-    timeline.append("test:exc=CancelledError")
-
-    # Sync node runs on a background thread (asyncio_*), NOT MainThread
-    sync_start = next(e for e in timeline if "sync_node:start" in e)
-    assert "MainThread" not in sync_start, (
-        "sync node should run on a background thread, not the event loop thread"
-    )
-
-    # At this point, the asyncio task is done but the thread is orphaned.
-    # The sync node has NOT finished yet — cancel only disconnected asyncio.
-    assert not node_finished.is_set(), (
-        "sync node should still be running in its background thread"
-    )
-
-    # Wait for the orphaned thread to complete on its own.
-    await loop.run_in_executor(None, node_finished.wait, 5)
-    assert node_finished.is_set()
-
-    # After the orphaned thread finishes, the full timeline looks like:
-    #   test:main thread=MainThread
-    #   sync_node:start thread=asyncio_N    <- background thread
-    #   test:cancel+drain                   <- cancel + drain fired
-    #   test:exc=CancelledError             <- asyncio disconnected
-    #   sync_node:after_sleep               <- thread ran to completion anyway
-    assert "sync_node:after_sleep" in timeline
-    # Second node never ran
-    assert "second_node:run" not in timeline
-
-    # Verify timeline ordering: cancel happened before node finished
-    cancel_idx = timeline.index("test:cancel+drain")
-    sleep_idx = timeline.index("sync_node:after_sleep")
-    assert cancel_idx < sleep_idx, (
-        "cancel was issued while the sync node was still sleeping"
-    )
-
-
-def test_drain_with_control_parameter_sync() -> None:
-    """Control parameter is wired through invoke -> stream."""
-
-    class State(TypedDict, total=False):
-        value: str
-
-    ran = False
-
-    def node(state: State) -> dict[str, str]:
-        nonlocal ran
-        ran = True
-        return {"value": "done"}
-
-    graph = StateGraph(State)
-    graph.add_node("node", node)
-    graph.add_edge(START, "node")
-    graph.add_edge("node", END)
-
-    # Pre-drained control stops before executing the first pending task.
-    control = RunControl()
-    control.request_drain("pre-drained")
-
-    with pytest.raises(GraphDrained, match="pre-drained"):
-        graph.compile().invoke({}, control=control)
-    assert not ran
-
-
 # --- ExecutionInfo unit tests ---


@@ -1,707 +0,0 @@
-"""Tests for CustomTransformer, UpdatesTransformer, CheckpointsTransformer, DebugTransformer, TasksTransformer.
-
-These transformers capture raw protocol events for their respective stream
-modes and expose them as native projections on the run stream (run.custom,
-run.updates, run.checkpoints, run.debug, run.tasks). Tests dispatch synthetic
-protocol events through a StreamMux to isolate transformer logic; the final
-group exercises real graphs through stream_events(version="v3").
-"""
-
-from __future__ import annotations
-
-import operator
-import time
-from typing import Annotated, Any
-
-from typing_extensions import TypedDict
-
-from langgraph.constants import END, START
-from langgraph.graph import StateGraph
-from langgraph.stream._mux import StreamMux
-from langgraph.stream.stream_channel import StreamChannel
-from langgraph.stream.transformers import (
-    CheckpointsTransformer,
-    CustomTransformer,
-    DebugTransformer,
-    LifecycleTransformer,
-    TasksTransformer,
-    UpdatesTransformer,
-)
-
-TS = int(time.time() * 1000)
-
-
-def _custom_event(namespace: list[str], data: Any) -> dict[str, Any]:
-    return {
-        "type": "event",
-        "method": "custom",
-        "params": {"namespace": namespace, "timestamp": TS, "data": data},
-    }
-
-
-def _checkpoints_event(namespace: list[str], data: Any) -> dict[str, Any]:
-    return {
-        "type": "event",
-        "method": "checkpoints",
-        "params": {"namespace": namespace, "timestamp": TS, "data": data},
-    }
-
-
-def _debug_event(namespace: list[str], data: Any) -> dict[str, Any]:
-    return {
-        "type": "event",
-        "method": "debug",
-        "params": {"namespace": namespace, "timestamp": TS, "data": data},
-    }
-
-
-def _tasks_event(namespace: list[str], data: Any) -> dict[str, Any]:
-    return {
-        "type": "event",
-        "method": "tasks",
-        "params": {"namespace": namespace, "timestamp": TS, "data": data},
-    }
-
-
-def _updates_event(namespace: list[str], data: Any) -> dict[str, Any]:
-    return {
-        "type": "event",
-        "method": "updates",
-        "params": {"namespace": namespace, "timestamp": TS, "data": data},
-    }
-
-
-def _arm(mux: StreamMux, transformer: Any) -> None:
-    """Force projection logs to accept pushes (skip lazy-subscribe gate)."""
-    mux._events._subscribed = True
-    transformer._log._subscribed = True
-
-
-def _unstamped(items):
-    """Strip push stamps from a StreamChannel's internal buffer."""
-    return [item for _stamp, item in items]
-
-
-def _drain(transformer: Any) -> list[Any]:
-    return _unstamped(transformer._log._items)
-
-
-# ---------------------------------------------------------------------------
-# CustomTransformer
-# ---------------------------------------------------------------------------
-
-
-def test_custom_captures_root_scope_events() -> None:
-    t = CustomTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_custom_event([], {"status": "processing"}))
-    mux.push(_custom_event([], {"status": "done"}))
-
-    items = _drain(t)
-    assert items == [{"status": "processing"}, {"status": "done"}]
-
-
-def test_custom_ignores_subgraph_scope_events() -> None:
-    t = CustomTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_custom_event(["subgraph:abc"], {"from": "child"}))
-
-    assert _drain(t) == []
-
-
-def test_custom_scoped_transformer_captures_own_scope() -> None:
-    t = CustomTransformer(scope=("agent:abc",))
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_custom_event([], {"from": "root"}))
-    mux.push(_custom_event(["agent:abc"], {"from": "self"}))
-    mux.push(_custom_event(["agent:abc", "deep:def"], {"from": "child"}))
-
-    items = _drain(t)
-    assert items == [{"from": "self"}]
-
-
-def test_custom_preserves_any_payload_type() -> None:
-    t = CustomTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_custom_event([], "string_payload"))
-    mux.push(_custom_event([], 42))
-    mux.push(_custom_event([], [1, 2, 3]))
-
-    assert _drain(t) == ["string_payload", 42, [1, 2, 3]]
-
-
-def test_custom_does_not_suppress_from_main_log() -> None:
-    t = CustomTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_custom_event([], "data"))
-
-    methods = [evt["method"] for evt in _unstamped(mux._events._items)]
-    assert "custom" in methods
-
-
-def test_custom_ignores_other_methods() -> None:
-    t = CustomTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(
-        {
-            "type": "event",
-            "method": "values",
-            "params": {"namespace": [], "timestamp": TS, "data": {}},
-        }
-    )
-    assert _drain(t) == []
-
-
-def test_custom_required_stream_modes() -> None:
-    assert CustomTransformer.required_stream_modes == ("custom",)
-
-
-def test_custom_is_native() -> None:
-    assert getattr(CustomTransformer, "_native", False) is True
-
-
-def test_custom_init_returns_correct_key() -> None:
-    t = CustomTransformer()
-    projection = t.init()
-    assert "custom" in projection
-    assert isinstance(projection["custom"], StreamChannel)
-
-
-# ---------------------------------------------------------------------------
-# CheckpointsTransformer
-# ---------------------------------------------------------------------------
-
-
-def test_checkpoints_captures_root_scope_events() -> None:
-    t = CheckpointsTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    checkpoint_data = {"values": {"x": 1}, "next": ["node_b"]}
-    mux.push(_checkpoints_event([], checkpoint_data))
-
-    items = _drain(t)
-    assert items == [checkpoint_data]
-
-
-def test_checkpoints_ignores_subgraph_events() -> None:
-    t = CheckpointsTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_checkpoints_event(["child:abc"], {"values": {"x": 1}}))
-
-    assert _drain(t) == []
-
-
-def test_checkpoints_scoped_transformer() -> None:
-    t = CheckpointsTransformer(scope=("sub:abc",))
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_checkpoints_event([], {"from": "root"}))
-    mux.push(_checkpoints_event(["sub:abc"], {"from": "self"}))
-
-    assert _drain(t) == [{"from": "self"}]
-
-
-def test_checkpoints_does_not_suppress_from_main_log() -> None:
-    t = CheckpointsTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_checkpoints_event([], {"values": {}}))
-
-    methods = [evt["method"] for evt in _unstamped(mux._events._items)]
-    assert "checkpoints" in methods
-
-
-def test_checkpoints_required_stream_modes() -> None:
-    assert CheckpointsTransformer.required_stream_modes == ("checkpoints",)
-
-
-def test_checkpoints_is_native() -> None:
-    assert getattr(CheckpointsTransformer, "_native", False) is True
-
-
-# ---------------------------------------------------------------------------
-# DebugTransformer
-# ---------------------------------------------------------------------------
-
-
-def test_debug_captures_root_scope_events() -> None:
-    t = DebugTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    debug_data = {
-        "step": 0,
-        "type": "checkpoint",
-        "timestamp": "2026-01-01T00:00:00Z",
-        "payload": {"values": {"x": 1}},
-    }
-    mux.push(_debug_event([], debug_data))
-
-    items = _drain(t)
-    assert items == [debug_data]
-
-
-def test_debug_ignores_subgraph_events() -> None:
-    t = DebugTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_debug_event(["child:abc"], {"step": 0, "type": "task"}))
-
-    assert _drain(t) == []
-
-
-def test_debug_captures_multiple_event_types() -> None:
-    t = DebugTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_debug_event([], {"step": 0, "type": "checkpoint", "payload": {}}))
-    mux.push(_debug_event([], {"step": 1, "type": "task", "payload": {}}))
-    mux.push(_debug_event([], {"step": 1, "type": "task_result", "payload": {}}))
-
-    items = _drain(t)
-    assert len(items) == 3
-    assert [d["type"] for d in items] == ["checkpoint", "task", "task_result"]
-
-
-def test_debug_does_not_suppress_from_main_log() -> None:
-    t = DebugTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_debug_event([], {"step": 0}))
-
-    methods = [evt["method"] for evt in _unstamped(mux._events._items)]
-    assert "debug" in methods
-
-
-def test_debug_required_stream_modes() -> None:
-    assert DebugTransformer.required_stream_modes == ("debug",)
-
-
-def test_debug_is_native() -> None:
-    assert getattr(DebugTransformer, "_native", False) is True
-
-
-# ---------------------------------------------------------------------------
-# TasksTransformer
-# ---------------------------------------------------------------------------
-
-
-def test_tasks_captures_root_scope_events() -> None:
-    t = TasksTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    task_start = {"id": "t1", "name": "my_node", "input": None, "triggers": []}
-    mux.push(_tasks_event([], task_start))
-
-    items = _drain(t)
-    assert items == [task_start]
-
-
-def test_tasks_captures_start_and_result() -> None:
-    t = TasksTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    start = {"id": "t1", "name": "a", "input": None, "triggers": []}
-    result = {"id": "t1", "name": "a", "result": {"output": 42}, "error": None}
-    mux.push(_tasks_event([], start))
-    mux.push(_tasks_event([], result))
-
-    items = _drain(t)
-    assert items == [start, result]
-
-
-def test_tasks_ignores_subgraph_events() -> None:
-    t = TasksTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_tasks_event(["child:abc"], {"id": "t1", "name": "x"}))
-
-    assert _drain(t) == []
-
-
-def test_tasks_scoped_transformer() -> None:
-    t = TasksTransformer(scope=("agent:abc",))
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_tasks_event([], {"id": "t1"}))
-    mux.push(_tasks_event(["agent:abc"], {"id": "t2"}))
-    mux.push(_tasks_event(["agent:abc", "deep:def"], {"id": "t3"}))
-
-    assert _drain(t) == [{"id": "t2"}]
-
-
-def test_tasks_does_not_suppress_from_main_log() -> None:
-    """TasksTransformer returns True — it doesn't suppress tasks events.
-
-    (LifecycleTransformer suppresses them, but that's independent.)
-    """
-    t = TasksTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_tasks_event([], {"id": "t1"}))
-
-    methods = [evt["method"] for evt in _unstamped(mux._events._items)]
-    assert "tasks" in methods
-
-
-def test_tasks_required_stream_modes() -> None:
-    assert TasksTransformer.required_stream_modes == ("tasks",)
-
-
-def test_tasks_is_native() -> None:
-    assert getattr(TasksTransformer, "_native", False) is True
-
-
-# ---------------------------------------------------------------------------
-# UpdatesTransformer
-# ---------------------------------------------------------------------------
-
-
-def test_updates_captures_root_scope_events() -> None:
-    t = UpdatesTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    update = {"my_node": {"value": "hello!"}}
-    mux.push(_updates_event([], update))
-
-    items = _drain(t)
-    assert items == [update]
-
-
-def test_updates_captures_multiple_steps() -> None:
-    t = UpdatesTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_updates_event([], {"node_a": {"x": 1}}))
-    mux.push(_updates_event([], {"node_b": {"x": 2}}))
-
-    items = _drain(t)
-    assert items == [{"node_a": {"x": 1}}, {"node_b": {"x": 2}}]
-
-
-def test_updates_ignores_subgraph_events() -> None:
-    t = UpdatesTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_updates_event(["child:abc"], {"inner_node": {"v": 1}}))
-
-    assert _drain(t) == []
-
-
-def test_updates_scoped_transformer() -> None:
-    t = UpdatesTransformer(scope=("agent:abc",))
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_updates_event([], {"from": "root"}))
-    mux.push(_updates_event(["agent:abc"], {"from": "self"}))
-
-    assert _drain(t) == [{"from": "self"}]
-
-
-def test_updates_does_not_suppress_from_main_log() -> None:
-    t = UpdatesTransformer()
-    mux = StreamMux([t], is_async=False)
-    _arm(mux, t)
-
-    mux.push(_updates_event([], {"n": {}}))
-
-    methods = [evt["method"] for evt in _unstamped(mux._events._items)]
-    assert "updates" in methods
-
-
-def test_updates_required_stream_modes() -> None:
-    assert UpdatesTransformer.required_stream_modes == ("updates",)
-
-
-def test_updates_is_native() -> None:
-    assert getattr(UpdatesTransformer, "_native", False) is True
-
-
-# ---------------------------------------------------------------------------
-# Cross-transformer: unrelated events pass through
-# ---------------------------------------------------------------------------
-
-
-def test_unrelated_events_ignored_by_all() -> None:
-    """Non-matching method events don't land in any transformer's log."""
-    transformers = [
-        CustomTransformer(),
-        UpdatesTransformer(),
-        CheckpointsTransformer(),
-        DebugTransformer(),
-        TasksTransformer(),
-    ]
-    mux = StreamMux(transformers, is_async=False)
-    mux._events._subscribed = True
-    for t in transformers:
-        t._log._subscribed = True
-
-    mux.push(
-        {
-            "type": "event",
-            "method": "values",
-            "params": {"namespace": [], "timestamp": TS, "data": {"x": 1}},
-        }
-    )
-
-    for t in transformers:
-        assert _unstamped(t._log._items) == []
-
-
-# ---------------------------------------------------------------------------
-# End-to-end: real graphs through stream_events(version="v3")
-# ---------------------------------------------------------------------------
-
-
-class _State(TypedDict):
-    value: str
-    items: Annotated[list[str], operator.add]
-
-
-def _my_node(state: _State) -> dict[str, Any]:
-    from langgraph.config import get_stream_writer
-
-    writer = get_stream_writer()
-    writer({"status": "working", "node": "my_node"})
-    return {"value": state["value"] + "!", "items": ["done"]}
-
-
-def _make_simple_graph() -> Any:
-    builder = StateGraph(_State, input_schema=_State)
-    builder.add_node("my_node", _my_node)
-    builder.add_edge(START, "my_node")
-    builder.add_edge("my_node", END)
-    return builder.compile()
-
-
-def test_stream_events_v3_custom_projection_opt_in() -> None:
-    """run.custom surfaces get_stream_writer() payloads when opted in."""
-    graph = _make_simple_graph()
-    run = graph.stream_events(
-        {"value": "hello", "items": []}, version="v3", transformers=[CustomTransformer]
-    )
-
-    custom_events = list(run.custom)
-    assert len(custom_events) >= 1
-    assert any(e.get("status") == "working" for e in custom_events)
-
-
-def test_stream_events_v3_custom_and_values_coexist() -> None:
-    """Both run.custom and run.values work in the same run."""
-    graph = _make_simple_graph()
-    run = graph.stream_events(
-        {"value": "hello", "items": []}, version="v3", transformers=[CustomTransformer]
-    )
-
-    custom_events = list(run.custom)
-    assert run.output is not None
-    assert run.output["value"] == "hello!"
-    assert len(custom_events) >= 1
-
-
-def test_stream_events_v3_tasks_projection_opt_in() -> None:
-    """run.tasks surfaces raw task events when opted in via transformers=."""
-    graph = _make_simple_graph()
-    run = graph.stream_events(
-        {"value": "x", "items": []}, transformers=[TasksTransformer], version="v3"
-    )
-
-    tasks_events = list(run.tasks)
-    assert len(tasks_events) >= 1
-    names = [t.get("name") for t in tasks_events if "name" in t]
-    assert "my_node" in names
-
-
-def test_stream_events_v3_debug_projection_opt_in() -> None:
-    """run.debug surfaces debug events when opted in via transformers=."""
-    graph = _make_simple_graph()
-    run = graph.stream_events(
-        {"value": "x", "items": []}, transformers=[DebugTransformer], version="v3"
-    )
-
-    debug_events = list(run.debug)
-    assert len(debug_events) >= 1
-    types = {d.get("type") for d in debug_events}
-    assert types & {"checkpoint", "task", "task_result"}
-
-
-def test_stream_events_v3_updates_projection_opt_in() -> None:
-    """run.updates surfaces node output dicts when opted in via transformers=."""
-    graph = _make_simple_graph()
-    run = graph.stream_events(
-        {"value": "x", "items": []}, version="v3", transformers=[UpdatesTransformer]
-    )
-
-    updates = list(run.updates)
-    assert len(updates) >= 1
-    node_names = {k for u in updates for k in u if k != "__interrupt__"}
-    assert "my_node" in node_names
-
-
-def test_stream_events_v3_all_transformers_interleaved() -> None:
-    """All five transformers registered together, consumed via interleave."""
-    graph = _make_simple_graph()
-    run = graph.stream_events(
-        {"value": "x", "items": []},
-        version="v3",
-        transformers=[
-            CustomTransformer,
-            UpdatesTransformer,
-            CheckpointsTransformer,
-            DebugTransformer,
-            TasksTransformer,
-        ],
-    )
-
-    collected: dict[str, list[Any]] = {
-        "custom": [],
-        "updates": [],
-        "debug": [],
-        "tasks": [],
-    }
-    for name, item in run.interleave("custom", "updates", "debug", "tasks"):
-        collected[name].append(item)
-
-    assert len(collected["custom"]) >= 1
-    assert len(collected["updates"]) >= 1
-    assert len(collected["tasks"]) >= 1
-    assert len(collected["debug"]) >= 1
-    types = {d.get("type") for d in collected["debug"]}
-    assert types & {"checkpoint", "task", "task_result"}
-    node_names = {k for u in collected["updates"] for k in u if k != "__interrupt__"}
-    assert "my_node" in node_names
-
-    assert run.output is not None
-    assert run.output["value"] == "x!"
-
-
-def test_stream_events_v3_all_transformers_with_checkpointer() -> None:
-    """All transformers with a checkpointer — run.checkpoints populated."""
-    from langgraph.checkpoint.memory import InMemorySaver
-
-    builder = StateGraph(_State, input_schema=_State)
-    builder.add_node("my_node", _my_node)
-    builder.add_edge(START, "my_node")
-    builder.add_edge("my_node", END)
-    graph = builder.compile(checkpointer=InMemorySaver())
-
-    run = graph.stream_events(
-        {"value": "x", "items": []},
-        version="v3",
-        config={"configurable": {"thread_id": "test-all"}},
-        transformers=[
-            CustomTransformer,
-            UpdatesTransformer,
-            CheckpointsTransformer,
-            DebugTransformer,
-            TasksTransformer,
-        ],
-    )
-
-    collected: dict[str, list[Any]] = {
-        "custom": [],
-        "updates": [],
-        "checkpoints": [],
-        "debug": [],
-        "tasks": [],
-    }
-    for name, item in run.interleave(
-        "custom", "updates", "checkpoints", "debug", "tasks"
-    ):
-        collected[name].append(item)
-
-    assert len(collected["checkpoints"]) >= 1
-    assert len(collected["custom"]) >= 1
-
-
-def test_stream_events_v3_checkpoints_projection_opt_in() -> None:
-    """run.checkpoints surfaces checkpoint data when opted in with a checkpointer."""
-    from langgraph.checkpoint.memory import InMemorySaver
-
-    builder = StateGraph(_State, input_schema=_State)
-    builder.add_node("my_node", _my_node)
-    builder.add_edge(START, "my_node")
-    builder.add_edge("my_node", END)
-    graph = builder.compile(checkpointer=InMemorySaver())
-
-    run = graph.stream_events(
-        {"value": "x", "items": []},
-        version="v3",
-        config={"configurable": {"thread_id": "test-ckpt-standalone"}},
-        transformers=[CheckpointsTransformer],
-    )
-
-    checkpoints = list(run.checkpoints)
-    assert len(checkpoints) >= 1
-
-
-# ---------------------------------------------------------------------------
-# TasksTransformer + LifecycleTransformer co-registration
-# ---------------------------------------------------------------------------
-
-
-def test_tasks_and_lifecycle_coregistration() -> None:
-    """When both are in the same StreamMux, LifecycleTransformer suppresses
-    tasks events from the main log (returns False) while TasksTransformer
-    still captures them into its own log.
-    """
-    lifecycle = LifecycleTransformer()
-    tasks = TasksTransformer()
-    mux = StreamMux([lifecycle, tasks], is_async=False)
-    mux._events._subscribed = True
-    tasks._log._subscribed = True
-    lifecycle._channel._subscribed = True
-
-    task_data = {"id": "t1", "name": "my_node", "input": None, "triggers": []}
-    mux.push(_tasks_event([], task_data))
-
-    assert _drain(tasks) == [task_data]
-
-    methods = [evt["method"] for evt in _unstamped(mux._events._items)]
-    assert "tasks" not in methods
-
-
-def test_tasks_and_lifecycle_coregistration_e2e() -> None:
-    """E2e: TasksTransformer captures task events even when LifecycleTransformer
-    is present and suppressing them from the main log.
-    """
-    graph = _make_simple_graph()
-    run = graph.stream_events(
-        {"value": "x", "items": []},
-        version="v3",
-        transformers=[TasksTransformer],
-    )
-
-    tasks_events = list(run.tasks)
-    assert len(tasks_events) >= 1
-    names = [t.get("name") for t in tasks_events if "name" in t]
-    assert "my_node" in names
@@ -1,808 +0,0 @@
-"""End-to-end tests exercising all stream_events(version="v3") projections together.
-
-Each test builds a realistic graph (subgraphs, LLM calls, custom writers,
-interrupts) and verifies that every projection — values, messages, lifecycle,
-subgraphs, raw events, output, interleave — produces correct, consistent
-results through a single stream_events(version="v3") / astream_events(version="v3") run.
-"""
-
-from __future__ import annotations
-
-import operator
-import sys
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.language_models import GenericFakeChatModel
-from langchain_core.language_models.chat_model_stream import (
-    AsyncChatModelStream,
-    ChatModelStream,
-)
-from langchain_core.messages import AIMessage
-from langgraph.checkpoint.memory import InMemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.constants import END, START
-from langgraph.graph import MessagesState, StateGraph
-from langgraph.stream import StreamChannel, StreamTransformer
-from langgraph.stream._types import ProtocolEvent
-from langgraph.types import StreamWriter, interrupt
-
-NEEDS_CONTEXTVARS = pytest.mark.skipif(
-    sys.version_info < (3, 11),
-    reason="Python 3.11+ is required for async contextvars support",
-)
-
-
-# ---------------------------------------------------------------------------
-# State and graph builders
-# ---------------------------------------------------------------------------
-
-
-class AgentState(TypedDict):
-    value: str
-    items: Annotated[list[str], operator.add]
-
-
-def _make_nested_graph():
-    """Build a two-level graph with pure state transforms.
-
-    Structure:
-        outer:
-            router_node  (state transform)
-            inner_graph  (compiled subgraph)
-
-        inner_graph:
-            process_node  (state transform)
-    """
-
-    def process_node(state: AgentState) -> dict[str, Any]:
-        return {"value": state["value"] + "_processed", "items": ["processed"]}
-
-    inner_builder: StateGraph = StateGraph(AgentState, input_schema=AgentState)
-    inner_builder.add_node("process_node", process_node)
-    inner_builder.add_edge(START, "process_node")
-    inner_builder.add_edge("process_node", END)
-    inner_graph = inner_builder.compile()
-
-    def router_node(state: AgentState) -> dict[str, Any]:
-        return {"value": state["value"] + "_routed", "items": ["routed"]}
-
-    outer_builder: StateGraph = StateGraph(AgentState, input_schema=AgentState)
-    outer_builder.add_node("router", router_node)
-    outer_builder.add_node("inner", inner_graph)
-    outer_builder.add_edge(START, "router")
-    outer_builder.add_edge("router", "inner")
-    outer_builder.add_edge("inner", END)
-    return outer_builder.compile()
-
-
-def _make_messages_graph():
-    """Flat graph with an LLM call for messages projection testing."""
-    model = GenericFakeChatModel(messages=iter(["hello world"]))
-
-    def call_model(state: MessagesState) -> dict[str, Any]:
-        return {"messages": model.invoke(state["messages"])}
-
-    return (
-        StateGraph(MessagesState)
-        .add_node("call_model", call_model)
-        .add_edge(START, "call_model")
-        .add_edge("call_model", END)
-        .compile()
-    )
-
-
-def _make_messages_subgraph():
-    """Outer graph with a MessagesState subgraph that returns an AIMessage.
-
-    Uses the whole-message fallback path (node returns AIMessage directly)
-    to exercise messages through a subgraph boundary.
-    """
-
-    def return_message(state: MessagesState) -> dict[str, Any]:
-        return {"messages": AIMessage(content="from subgraph", id="sub-msg-1")}
-
-    inner = (
-        StateGraph(MessagesState)
-        .add_node("return_message", return_message)
-        .add_edge(START, "return_message")
-        .add_edge("return_message", END)
-        .compile()
-    )
-
-    class OuterState(TypedDict):
-        messages: Annotated[list[Any], operator.add]
-        done: bool
-
-    def pre_node(state: OuterState) -> dict[str, Any]:
-        return {"done": False}
-
-    return (
-        StateGraph(OuterState)
-        .add_node("pre", pre_node)
-        .add_node("inner", inner)
-        .add_edge(START, "pre")
-        .add_edge("pre", "inner")
-        .add_edge("inner", END)
-        .compile()
-    )
-
-
-def _make_custom_writer_graph():
-    """Graph where a node emits custom stream events via StreamWriter."""
-
-    def writer_node(state: AgentState, *, writer: StreamWriter) -> dict[str, Any]:
-        writer({"step": "start", "detail": "beginning work"})
-        writer({"step": "middle", "detail": "processing"})
-        writer({"step": "end", "detail": "done"})
-        return {"value": state["value"] + "_custom", "items": ["custom"]}
-
-    builder = StateGraph(AgentState)
-    builder.add_node("writer_node", writer_node)
-    builder.add_edge(START, "writer_node")
-    builder.add_edge("writer_node", END)
-    return builder.compile()
-
-
-def _make_interrupt_graph():
-    """Graph that interrupts after the first node."""
-
-    def step_one(state: AgentState) -> dict[str, Any]:
-        return {"value": state["value"] + "_step1", "items": ["step1"]}
-
-    def step_two(state: AgentState) -> dict[str, Any]:
-        answer = interrupt("need approval")
-        return {"value": state["value"] + f"_{answer}", "items": ["step2"]}
-
-    builder = StateGraph(AgentState)
-    builder.add_node("step_one", step_one)
-    builder.add_node("step_two", step_two)
-    builder.add_edge(START, "step_one")
-    builder.add_edge("step_one", "step_two")
-    builder.add_edge("step_two", END)
-    return builder.compile(checkpointer=InMemorySaver())
-
-
-def _make_error_subgraph():
-    """Graph with a subgraph that raises."""
-
-    def failing_node(state: AgentState) -> dict[str, Any]:
-        raise ValueError("subgraph explosion")
-
-    inner_builder = StateGraph(AgentState)
-    inner_builder.add_node("fail", failing_node)
-    inner_builder.add_edge(START, "fail")
-    inner_builder.add_edge("fail", END)
-    inner = inner_builder.compile()
-
-    outer_builder = StateGraph(AgentState)
-    outer_builder.add_node("inner", inner)
-    outer_builder.add_edge(START, "inner")
-    outer_builder.add_edge("inner", END)
-    return outer_builder.compile()
-
-
-class _CustomPassthroughTransformer(StreamTransformer):
-    required_stream_modes = ("custom",)
-
-    def init(self) -> dict[str, Any]:
-        return {}
-
-    def process(self, event: ProtocolEvent) -> bool:
-        return True
-
-
-class _CounterTransformer(StreamTransformer):
-    """Custom transformer that counts values events via a StreamChannel."""
-
-    def __init__(self, scope: tuple[str, ...] = ()) -> None:
-        super().__init__(scope)
-        self._channel: StreamChannel[int] = StreamChannel("counter")
-        self._count = 0
-
-    def init(self) -> dict[str, Any]:
-        return {"counter": self._channel}
-
-    def process(self, event: ProtocolEvent) -> bool:
-        if event["method"] == "values":
-            self._count += 1
-            self._channel.push(self._count)
-        return True
-
-
-# ---------------------------------------------------------------------------
-# Sync end-to-end: all projections on nested graph
-# ---------------------------------------------------------------------------
-
-
-class TestStreamV2E2ESync:
-    def test_all_projections_nested_graph(self) -> None:
-        """Run a nested graph through stream_events(version="v3") and verify values + lifecycle."""
-        graph = _make_nested_graph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-
-        values_snapshots: list[dict[str, Any]] = []
-        lifecycle_events: list[dict[str, Any]] = []
-        for name, item in run.interleave("values", "lifecycle"):
-            if name == "values":
-                values_snapshots.append(item)
-            elif name == "lifecycle":
-                lifecycle_events.append(item)
-
-        assert len(values_snapshots) >= 1
-        final = values_snapshots[-1]
-        assert "routed" in final["items"]
-        assert "processed" in final["items"]
-        assert "_routed" in final["value"]
-        assert "_processed" in final["value"]
-
-        assert len(lifecycle_events) >= 2
-        started = [e for e in lifecycle_events if e["event"] == "started"]
-        completed = [e for e in lifecycle_events if e["event"] == "completed"]
-        assert len(started) >= 1
-        assert len(completed) >= 1
-
-    def test_subgraph_handles_with_drill_down(self) -> None:
-        """Subgraph handles yield and support values drill-down."""
-        graph = _make_nested_graph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-
-        handles = []
-        for handle in run.subgraphs:
-            child_values = list(handle.values)
-            handles.append(
-                {
-                    "path": handle.path,
-                    "graph_name": handle.graph_name,
-                    "values_count": len(child_values),
-                }
-            )
-
-        assert len(handles) >= 1
-        assert handles[0]["values_count"] >= 1
-
-        output = run.output
-        assert output is not None
-        assert "_routed" in output["value"]
-        assert "_processed" in output["value"]
-
-    def test_raw_events_have_monotonic_seq(self) -> None:
-        """Raw protocol events have monotonically increasing seq numbers."""
-        graph = _make_nested_graph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-        events = list(run)
-        assert len(events) > 0
-
-        seqs = [e["seq"] for e in events]
-        for i in range(1, len(seqs)):
-            assert seqs[i] > seqs[i - 1], f"seq not monotonic at {i}: {seqs}"
-
-        for event in events:
-            assert event["type"] == "event"
-            assert "method" in event
-            assert isinstance(event["params"]["timestamp"], int)
-
-    def test_output_matches_final_values_snapshot(self) -> None:
-        """output property returns the same state as the last values snapshot."""
-        run1 = _make_nested_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        snapshots = list(run1.values)
-        final_via_values = snapshots[-1]
-
-        run2 = _make_nested_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        final_via_output = run2.output
-
-        assert final_via_values == final_via_output
-
-    def test_context_manager_and_abort(self) -> None:
-        """Context manager calls abort, marking the stream exhausted."""
-        graph = _make_nested_graph()
-        with graph.stream_events({"value": "x", "items": []}, version="v3") as run:
-            first_val = next(iter(run.values))
-            assert isinstance(first_val, dict)
-        assert run._exhausted is True
-
-    def test_extensions_has_all_native_keys(self) -> None:
-        """Extensions dict exposes all native projection keys."""
-        graph = _make_nested_graph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-        _ = run.output
-
-        assert "values" in run.extensions
-        assert "messages" in run.extensions
-        assert "lifecycle" in run.extensions
-        assert "subgraphs" in run.extensions
-        assert run.values is run.extensions["values"]
-        assert run.messages is run.extensions["messages"]
-        assert run.lifecycle is run.extensions["lifecycle"]
-        assert run.subgraphs is run.extensions["subgraphs"]
-
-
-# ---------------------------------------------------------------------------
-# Sync: messages projection
-# ---------------------------------------------------------------------------
-
-
-class TestStreamV2E2EMessages:
-    def test_messages_projection_from_invoke(self) -> None:
-        """Messages projection captures LLM calls via model.invoke() auto-routing."""
-        graph = _make_messages_graph()
-        run = graph.stream_events({"messages": "hi"}, version="v3")
-        streams = list(run.messages)
-
-        assert len(streams) >= 1
-        for stream in streams:
-            assert isinstance(stream, ChatModelStream)
-        assert streams[0].output.text == "hello world"
-
-    def test_messages_text_deltas(self) -> None:
-        """Text deltas from the messages projection concatenate correctly."""
-        model = GenericFakeChatModel(messages=iter(["streamed answer"]))
-
-        def call_model(state: MessagesState) -> dict[str, Any]:
-            return {"messages": model.invoke(state["messages"])}
-
-        graph = (
-            StateGraph(MessagesState)
-            .add_node("call_model", call_model)
-            .add_edge(START, "call_model")
-            .add_edge("call_model", END)
-            .compile()
-        )
-
-        run = graph.stream_events({"messages": "go"}, version="v3")
-        (stream,) = list(run.messages)
-        assert "".join(stream.text) == "streamed answer"
-
-    def test_messages_from_whole_ai_message(self) -> None:
-        """Node returning AIMessage directly produces a complete stream."""
-
-        def return_msg(state: MessagesState) -> dict[str, Any]:
-            return {"messages": AIMessage(content="hardcoded", id="msg-1")}
-
-        graph = (
-            StateGraph(MessagesState)
-            .add_node("return_msg", return_msg)
-            .add_edge(START, "return_msg")
-            .add_edge("return_msg", END)
-            .compile()
-        )
-
-        run = graph.stream_events({"messages": "hi"}, version="v3")
-        (stream,) = list(run.messages)
-        assert stream.output.text == "hardcoded"
-        assert stream.message_id == "msg-1"
-
-    def test_root_messages_only_shows_root_scope(self) -> None:
-        """Root messages projection doesn't surface subgraph-scoped messages."""
-        graph = _make_messages_subgraph()
-        run = graph.stream_events({"messages": ["hi"], "done": False}, version="v3")
-        root_streams = list(run.messages)
-        # The message is emitted inside the subgraph, so the root
-        # messages projection (scoped to root namespace) doesn't see it.
-        assert root_streams == []
-
-    def test_subgraph_handle_messages_drill_down(self) -> None:
-        """Drilling into subgraph handle's messages surfaces subgraph messages."""
-        graph = _make_messages_subgraph()
-        run = graph.stream_events({"messages": ["hi"], "done": False}, version="v3")
-
-        found_messages = False
-        for handle in run.subgraphs:
-            child_messages = list(handle.messages)
-            if child_messages:
-                found_messages = True
-                assert isinstance(child_messages[0], ChatModelStream)
-                assert child_messages[0].output.text == "from subgraph"
-        assert found_messages
-
-
-# ---------------------------------------------------------------------------
-# Sync: custom stream writer + custom transformer
-# ---------------------------------------------------------------------------
-
-
-class TestStreamV2E2ECustom:
-    def test_custom_events_with_passthrough_transformer(self) -> None:
-        """Custom StreamWriter events appear on the main log when a
-        transformer declares the custom mode."""
-        graph = _make_custom_writer_graph()
-        run = graph.stream_events(
-            {"value": "x", "items": []},
-            version="v3",
-            transformers=[_CustomPassthroughTransformer],
-        )
-        events = list(run)
-        custom = [e for e in events if e["method"] == "custom"]
-        assert len(custom) == 3
-        steps = [e["params"]["data"]["step"] for e in custom]
-        assert steps == ["start", "middle", "end"]
-
-    def test_custom_events_suppressed_without_transformer(self) -> None:
-        """Without a custom-mode transformer, custom events don't flow."""
-        graph = _make_custom_writer_graph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-        events = list(run)
-        custom = [e for e in events if e["method"] == "custom"]
-        assert custom == []
-
-    def test_custom_transformer_with_stream_channel(self) -> None:
-        """A custom transformer with a StreamChannel produces extension data."""
-        graph = _make_nested_graph()
-        run = graph.stream_events(
-            {"value": "x", "items": []},
-            version="v3",
-            transformers=[_CounterTransformer],
-        )
-
-        assert "counter" in run.extensions
-        counter_iter = iter(run.extensions["counter"])
-        _ = run.output
-        counts = list(counter_iter)
-        assert len(counts) >= 1
-        assert all(isinstance(c, int) for c in counts)
-        assert counts == sorted(counts)
-
-    def test_custom_channel_events_on_main_log(self) -> None:
-        """StreamChannel auto-forward injects custom:<name> events into the main log."""
-        graph = _make_nested_graph()
-        run = graph.stream_events(
-            {"value": "x", "items": []},
-            version="v3",
-            transformers=[_CounterTransformer],
-        )
-        events = list(run)
-        counter_events = [e for e in events if e["method"] == "custom:counter"]
-        assert len(counter_events) >= 1
-        assert all(isinstance(e["params"]["data"], int) for e in counter_events)
-
-
-# ---------------------------------------------------------------------------
-# Sync: interrupt handling
-# ---------------------------------------------------------------------------
-
-
-class TestStreamV2E2EInterrupt:
-    def test_interrupt_sets_flags_and_surfaces_interrupts(self) -> None:
-        """Interrupted run has correct flags and interrupt payloads."""
-        graph = _make_interrupt_graph()
-        config: dict[str, Any] = {"configurable": {"thread_id": "int-1"}}
-        run = graph.stream_events({"value": "x", "items": []}, config, version="v3")
-
-        output = run.output
-        assert output is not None
-        assert run.interrupted is True
-        assert len(run.interrupts) > 0
-        assert output["items"] == ["step1"]
-        assert "_step1" in output["value"]
-
-    def test_interrupt_values_snapshot_has_partial_state(self) -> None:
-        """Values snapshots captured before the interrupt reflect partial state."""
-        graph = _make_interrupt_graph()
-        config: dict[str, Any] = {"configurable": {"thread_id": "int-2"}}
-        run = graph.stream_events({"value": "x", "items": []}, config, version="v3")
-
-        snapshots = list(run.values)
-        assert len(snapshots) >= 1
-        last = snapshots[-1]
-        assert "step1" in last["items"]
-
-
-# ---------------------------------------------------------------------------
-# Sync: error propagation
-# ---------------------------------------------------------------------------
-
-
-class TestStreamV2E2EErrors:
-    def test_subgraph_error_propagates_through_output(self) -> None:
-        """Error in a subgraph propagates through output."""
-        graph = _make_error_subgraph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-
-        with pytest.raises(ValueError, match="subgraph explosion"):
-            _ = run.output
-
-    def test_subgraph_error_propagates_through_raw_events(self) -> None:
-        graph = _make_error_subgraph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-
-        with pytest.raises(ValueError, match="subgraph explosion"):
-            list(run)
-
-    def test_error_subgraph_handle_status(self) -> None:
-        """Subgraph handle surfaces the error status."""
-        graph = _make_error_subgraph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-
-        handle = next(iter(run.subgraphs))
-        with pytest.raises(RuntimeError, match="subgraph explosion"):
-            _ = handle.output
-        assert handle.status == "failed"
-        assert handle.error == "subgraph explosion"
-
-
-# ---------------------------------------------------------------------------
-# Async end-to-end
-# ---------------------------------------------------------------------------
-
-
-@pytest.mark.anyio
-@NEEDS_CONTEXTVARS
-class TestStreamV2E2EAsync:
-    async def test_all_projections_async(self) -> None:
-        """Async run exercises values projection."""
-        graph = _make_nested_graph()
-        run = await graph.astream_events({"value": "x", "items": []}, version="v3")
-
-        values_snapshots = [s async for s in run.values]
-        assert len(values_snapshots) >= 1
-        final = values_snapshots[-1]
-        assert "_routed" in final["value"]
-        assert "_processed" in final["value"]
-
-    async def test_async_output(self) -> None:
-        """Async output returns the final state."""
-        graph = _make_nested_graph()
-        run = await graph.astream_events({"value": "x", "items": []}, version="v3")
-        output = await run.output()
-        assert output is not None
-        assert output["value"] == "x_routed_processed"
-        assert "routed" in output["items"]
-        assert "processed" in output["items"]
-
-    async def test_async_raw_events(self) -> None:
-        """Async raw event iteration yields well-formed ProtocolEvents."""
-        graph = _make_nested_graph()
-        run = await graph.astream_events({"value": "x", "items": []}, version="v3")
-        events = [e async for e in run]
-        assert len(events) > 0
-        seqs = [e["seq"] for e in events]
-        for i in range(1, len(seqs)):
-            assert seqs[i] > seqs[i - 1]
-
-    async def test_async_messages_projection(self) -> None:
-        """Async messages projection captures LLM streams."""
-        model = GenericFakeChatModel(messages=iter(["async answer"]))
-
-        async def call_model(state: MessagesState) -> dict[str, Any]:
-            return {"messages": await model.ainvoke(state["messages"])}
-
-        graph = (
-            StateGraph(MessagesState)
-            .add_node("call_model", call_model)
-            .add_edge(START, "call_model")
-            .add_edge("call_model", END)
-            .compile()
-        )
-
-        run = await graph.astream_events({"messages": "hi"}, version="v3")
-        streams = [s async for s in run.messages]
-        assert len(streams) >= 1
-        for s in streams:
-            assert isinstance(s, AsyncChatModelStream)
-        assert (await streams[0].output).text == "async answer"
-
-    async def test_async_interrupt(self) -> None:
-        """Async interrupted run has correct flags."""
-        graph = _make_interrupt_graph()
-        config: dict[str, Any] = {"configurable": {"thread_id": "async-int-1"}}
-        run = await graph.astream_events(
-            {"value": "x", "items": []}, config, version="v3"
-        )
-
-        output = await run.output()
-        assert output is not None
-        assert await run.interrupted() is True
-        assert len(await run.interrupts()) > 0
-
-    async def test_async_error_propagation(self) -> None:
-        """Async error from subgraph propagates through output."""
-        graph = _make_error_subgraph()
-        run = await graph.astream_events({"value": "x", "items": []}, version="v3")
-        with pytest.raises(ValueError, match="subgraph explosion"):
-            await run.output()
-
-    async def test_async_context_manager(self) -> None:
-        """Async context manager calls abort on exit."""
-        graph = _make_nested_graph()
-        run = await graph.astream_events({"value": "x", "items": []}, version="v3")
-        async with run:
-            _ = await anext(aiter(run.values))
-        assert run._exhausted is True
-
-    async def test_async_extensions_present(self) -> None:
-        """Async run has all native extensions."""
-        graph = _make_nested_graph()
-        run = await graph.astream_events({"value": "x", "items": []}, version="v3")
-        _ = await run.output()
-        assert "values" in run.extensions
-        assert "messages" in run.extensions
-        assert "lifecycle" in run.extensions
-        assert "subgraphs" in run.extensions
-
-    async def test_async_custom_transformer(self) -> None:
-        """Async custom transformer with StreamChannel works."""
-        graph = _make_nested_graph()
-        run = await graph.astream_events(
-            {"value": "x", "items": []},
-            version="v3",
-            transformers=[_CounterTransformer],
-        )
-        assert "counter" in run.extensions
-        counter_cursor = aiter(run.extensions["counter"])
-        _ = await run.output()
-        counts = [c async for c in counter_cursor]
-        assert len(counts) >= 1
-        assert counts == sorted(counts)
-
-
-# ---------------------------------------------------------------------------
-# Sync: combined projections stress test
-# ---------------------------------------------------------------------------
-
-
-class TestStreamV2E2ECombined:
-    def test_interleave_all_native_projections(self) -> None:
-        """Interleave values + messages + lifecycle without deadlock."""
-        graph = _make_nested_graph()
-        run = graph.stream_events({"value": "x", "items": []}, version="v3")
-
-        seen_names: set[str] = set()
-        for name, _item in run.interleave("values", "messages", "lifecycle"):
-            seen_names.add(name)
-
-        assert "values" in seen_names
-        assert "lifecycle" in seen_names
-
-    def test_multiple_custom_transformers(self) -> None:
-        """Multiple custom transformers can coexist."""
-
-        class TagTransformer(StreamTransformer):
-            def __init__(self, scope: tuple[str, ...] = ()) -> None:
-                super().__init__(scope)
-                self._channel: StreamChannel[str] = StreamChannel("tags")
-
-            def init(self) -> dict[str, Any]:
-                return {"tags": self._channel}
-
-            def process(self, event: ProtocolEvent) -> bool:
-                if event["method"] == "values":
-                    self._channel.push(
-                        f"tag:{event['params']['data'].get('value', '')}"
-                    )
-                return True
-
-        graph = _make_nested_graph()
-        run = graph.stream_events(
-            {"value": "x", "items": []},
-            version="v3",
-            transformers=[_CounterTransformer, TagTransformer],
-        )
-
-        assert "counter" in run.extensions
-        assert "tags" in run.extensions
-
-        counter_iter = iter(run.extensions["counter"])
-        tags_iter = iter(run.extensions["tags"])
-        _ = run.output
-        counts = list(counter_iter)
-        tags = list(tags_iter)
-
-        assert len(counts) >= 1
-        assert len(tags) >= 1
-        assert all(t.startswith("tag:") for t in tags)
-
-    def test_two_sibling_subgraphs_both_discoverable(self) -> None:
-        """Two sequential subgraph invocations produce two handles."""
-
-        class _S(TypedDict):
-            items: Annotated[list[str], operator.add]
-
-        def _item(name: str):
-            def node(state: _S) -> dict[str, Any]:
-                return {"items": [name]}
-
-            return node
-
-        inner_a = (
-            StateGraph(_S)
-            .add_node("add_a", _item("a"))
-            .add_edge(START, "add_a")
-            .add_edge("add_a", END)
-            .compile()
-        )
-        inner_b = (
-            StateGraph(_S)
-            .add_node("add_b", _item("b"))
-            .add_edge(START, "add_b")
-            .add_edge("add_b", END)
-            .compile()
-        )
-
-        outer = (
-            StateGraph(_S)
-            .add_node("sub_a", inner_a)
-            .add_node("sub_b", inner_b)
-            .add_edge(START, "sub_a")
-            .add_edge("sub_a", "sub_b")
-            .add_edge("sub_b", END)
-            .compile()
-        )
-
-        run = outer.stream_events({"items": []}, version="v3")
-        handles = []
-        for handle in run.subgraphs:
-            list(handle.values)
-            handles.append(handle)
-
-        assert len(handles) == 2
-        names = [h.graph_name for h in handles]
-        assert "sub_a" in names
-        assert "sub_b" in names
-        assert all(h.status == "completed" for h in handles)
-
-        output = run.output
-        assert output is not None
-        assert set(output["items"]) == {"a", "b"}
-
-    def test_lifecycle_matches_subgraph_handles(self) -> None:
-        """Lifecycle events and subgraph handles agree on discovered subgraphs."""
-        run1 = _make_nested_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        handle_paths: list[tuple[str, ...]] = []
-        for handle in run1.subgraphs:
-            list(handle.values)
-            handle_paths.append(handle.path)
-
-        run2 = _make_nested_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        lifecycle = list(run2.lifecycle)
-
-        started_ns = [
-            tuple(e["namespace"]) for e in lifecycle if e["event"] == "started"
-        ]
-        # Handle paths use format "graph_name:call_id", lifecycle namespaces
-        # use the same format. Both should have the same graph_name prefix.
-        handle_prefixes = {p[0].split(":")[0] for p in handle_paths}
-        lifecycle_prefixes = {ns[0].split(":")[0] for ns in started_ns}
-        assert handle_prefixes == lifecycle_prefixes
-
-    def test_values_plus_messages_plus_custom(self) -> None:
-        """Values, messages, and a custom transformer all produce data in one run."""
-        model = GenericFakeChatModel(messages=iter(["combined test"]))
-
-        def call_model(state: MessagesState) -> dict[str, Any]:
-            return {"messages": model.invoke(state["messages"])}
-
-        graph = (
-            StateGraph(MessagesState)
-            .add_node("call_model", call_model)
-            .add_edge(START, "call_model")
-            .add_edge("call_model", END)
-            .compile()
-        )
-
-        run = graph.stream_events(
-            {"messages": "hi"},
-            version="v3",
-            transformers=[_CounterTransformer],
-        )
-
-        counter_iter = iter(run.extensions["counter"])
-        values_iter = iter(run.values)
-        messages_iter = iter(run.messages)
-
-        values = list(values_iter)
-        messages = list(messages_iter)
-        counts = list(counter_iter)
-
-        assert len(values) >= 1
-        assert len(messages) >= 1
-        assert len(counts) >= 1
-        assert messages[0].output.text == "combined test"
--- a/Show More
+++ b/Show More