Broaden compile(transformers=...) signature to accept scope-aware factories

Merge branch 'nh/subgraph-lifecycle' into nh/tools-channel-streaming
# Conflicts: # libs/langgraph/langgraph/stream/__init__.py # libs/langgraph/langgraph/stream/graph_streamer.py # libs/langgraph/langgraph/stream/run_stream.py # libs/langgraph/tests/test_graph_streamer.py # libs/langgraph/tests/test_pregel_stream_v2.py # libs/langgraph/tests/test_stream_messages_transformer.py # libs/langgraph/tests/test_stream_subgraph_transformer.py # libs/langgraph/tests/test_streaming_handler.py
2026-08-27 01:52:25 +02:00 · 2026-04-20 16:34:14 -04:00 · 2026-04-20 16:31:29 -04:00 · 2026-04-20 16:22:18 -04:00 · 2026-04-20 16:13:08 -04:00 · 2026-04-20 16:08:19 -04:00
136 changed files with 5246 additions and 21149 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" },
 ]
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+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" },
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 [[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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 ]

 [[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"
@@ -4,7 +4,7 @@ import json
 import random
 import sqlite3
 import threading
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Iterator, Sequence
 from contextlib import closing, contextmanager
 from typing import Any, cast

@@ -16,19 +16,12 @@ from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
-    DeltaChannelHistory,
    SerializerProtocol,
    get_checkpoint_id,
    get_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer

-from langgraph.checkpoint.sqlite._delta import (
-    DELTA_STAGE1_SQL,
-    build_delta_channels_writes_history,
-    build_delta_stage2_sql,
-    step_walk_with_row,
-)
 from langgraph.checkpoint.sqlite.utils import search_where

 _AIO_ERROR_MSG = (
@@ -500,88 +493,6 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                (str(thread_id),),
            )

-    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:
-
-        * Stage 1 (paged): newest-first slice of `checkpoints` returning
-          `(checkpoint_id, parent_checkpoint_id, type, checkpoint)` per
-          ancestor. Sqlite has no JSONB, so we ship the full serialized
-          checkpoint blob and inspect `channel_values` in Python. Pages
-          newest-first by `checkpoint_id` with a `< cursor` predicate;
-          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
-          `writes` filtered to that channel's specific `chain_cids`. No
-          separate seed-blob fetch — sqlite stores `channel_values` inline
-          in the checkpoint blob, so seeds come back from stage 1.
-        """
-        if not channels:
-            return {}
-        channels = list(channels)
-        thread_id = str(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"]
-
-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_val_by_ch: dict[str, Any] = {}
-        walk_state: dict[str, Any] = {}
-        seeded: set[str] = set()
-
-        with self.cursor(transaction=False) as cur:
-            cur.execute(DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id))
-            for row in cur:
-                cid, parent_cid, type_tag, blob = row
-                if step_walk_with_row(
-                    cid=cid,
-                    parent_cid=parent_cid,
-                    type_tag=type_tag,
-                    blob=blob,
-                    target_id=checkpoint_id,
-                    serde=self.serde,
-                    chain_by_ch=chain_by_ch,
-                    seed_val_by_ch=seed_val_by_ch,
-                    walk_state=walk_state,
-                    seeded=seeded,
-                    channels=channels,
-                ):
-                    break
-
-            channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
-            stage2_sql = build_delta_stage2_sql(
-                chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
-            )
-            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]]
-                    )
-                cur.execute(stage2_sql, stage2_params)
-                stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
-                )
-            else:
-                stage2_rows = []
-
-        return build_delta_channels_writes_history(
-            channels=channels,
-            chain_by_ch=chain_by_ch,
-            seed_val_by_ch=seed_val_by_ch,
-            seeded=seeded,
-            stage2_rows=stage2_rows,
-            serde=self.serde,
-        )
-
    async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
        """Get a checkpoint tuple from the database asynchronously.

@@ -1,172 +0,0 @@
-"""Shared helpers for `get_delta_channel_history` on sqlite savers.
-
-Mirrors the two-stage shape of `BasePostgresSaver` (ancestor walk +
-per-channel UNION ALL writes fetch), but adapted for sqlite's
-constraints. The structural differences:
-
-* No JSONB — to inspect `channel_values` for a checkpoint we must
-  deserialize the full blob. Stage 1 streams the cursor row-by-row and
-  deserializes only the rows the merged walk visits, freeing each blob
-  before advancing.
-* No separate blob table — `channel_values` lives inline in the
-  checkpoint, so seeds come back from stage 1 with no second fetch.
-* Single merged walk (not K independent walks): each visited cid is
-  deserialized exactly once, regardless of how many channels are still
-  seeking their seed.
-
-The streaming design keeps peak in-flight memory at roughly one
-deserialized checkpoint at a time, instead of holding the entire
-ancestor chain's worth of raw blobs as a `fetchall()`-materialized list.
-"""
-
-from __future__ import annotations
-
-from collections.abc import Mapping, Sequence
-from typing import Any
-
-from langgraph.checkpoint.base import DeltaChannelHistory, PendingWrite
-
-# Stage 1 streams ancestors of `target_cid` newest-first. The `<=`
-# predicate keeps target itself in the stream so we can read its
-# `parent_checkpoint_id` from the first row without a separate lookup;
-# the caller skips target's own writes/seed (matches the
-# `BaseCheckpointSaver` contract).
-DELTA_STAGE1_SQL = (
-    "SELECT checkpoint_id, parent_checkpoint_id, type, checkpoint "
-    "FROM checkpoints "
-    "WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id <= ? "
-    "ORDER BY checkpoint_id DESC"
-)
-
-
-def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
-    """Stage-2 per-channel UNION ALL fetching writes from `writes`.
-
-    One branch per channel with a non-empty chain. Each branch inlines its
-    own `IN (?, ?, ...)` placeholder list because sqlite has no array-bind
-    equivalent of postgres's `= ANY(%s)`. Caller passes parameters in
-    matching order: `[thread_id, checkpoint_ns, channel, *chain_cids]` per
-    branch.
-
-    Returns an empty string when no channel has a chain (caller skips
-    executing in that case). Per-channel UNION ALL avoids the over-fetch
-    of a single `channel = ANY(channels)` filter when channels have
-    different chain depths — same rationale as postgres.
-    """
-    branches: list[str] = []
-    for n in chain_lens:
-        cid_placeholders = ",".join("?" * n)
-        branches.append(
-            "SELECT checkpoint_id, channel, task_id, idx, type, value "
-            "FROM writes "
-            "WHERE thread_id = ? AND checkpoint_ns = ? AND channel = ? "
-            f"AND checkpoint_id IN ({cid_placeholders})"
-        )
-    return " UNION ALL ".join(branches)
-
-
-def step_walk_with_row(
-    *,
-    cid: str,
-    parent_cid: str | None,
-    type_tag: str,
-    blob: bytes,
-    target_id: str,
-    serde: Any,
-    chain_by_ch: dict[str, list[str]],
-    seed_val_by_ch: dict[str, Any],
-    walk_state: dict[str, Any],
-    seeded: set[str],
-    channels: Sequence[str],
-) -> bool:
-    """Process one streamed stage-1 row in the merged ancestor walk.
-
-    The cursor returns (cid, parent_cid, type, blob) rows in
-    `checkpoint_id` DESC order starting at target. The first row is
-    target itself; we read its parent_cid to seed the walk and otherwise
-    skip it (target's own writes/seed are not part of the contract).
-
-    For each subsequent row, if `cid` matches the walk's current
-    position, we deserialize the blob, append the cid to every
-    not-yet-seeded channel's chain, and check `channel_values` for
-    seeds. The deserialized checkpoint is dropped before advancing — no
-    cross-row cache, so peak in-flight is one deserialized checkpoint.
-
-    Off-path rows (different branch on the same thread) advance the
-    cursor without doing any work.
-
-    Returns True when every requested channel is seeded — the caller
-    can stop iterating and close the cursor.
-    """
-    if "started" not in walk_state:
-        if cid == target_id:
-            walk_state["started"] = True
-            walk_state["cur_cid"] = parent_cid
-            walk_state["active"] = {ch for ch in channels if ch not in seeded}
-        # Not target yet (or target not present): keep streaming.
-        return False
-    active: set[str] = walk_state["active"]
-    if not active:
-        return True
-    if cid != walk_state["cur_cid"]:
-        # Off-path row from a sibling branch — skip without deserializing.
-        return False
-    for ch in active:
-        chain_by_ch[ch].append(cid)
-    ckpt = serde.loads_typed((type_tag, blob))
-    channel_values: Mapping[str, Any] = ckpt.get("channel_values") or {}
-    for ch in [ch for ch in active if ch in channel_values]:
-        seed_val_by_ch[ch] = channel_values[ch]
-        seeded.add(ch)
-        active.discard(ch)
-    del ckpt, channel_values
-    walk_state["cur_cid"] = parent_cid
-    return not active
-
-
-def build_delta_channels_writes_history(
-    *,
-    channels: Sequence[str],
-    chain_by_ch: Mapping[str, list[str]],
-    seed_val_by_ch: Mapping[str, Any],
-    seeded: set[str],
-    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
-    serde: Any,
-) -> dict[str, DeltaChannelHistory]:
-    """Demux stage-2 rows per channel; produce per-channel histories.
-
-    Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
-    Final write order is oldest→newest globally and `(task_id, idx)` within
-    a checkpoint, matching the contract on `DeltaChannelHistory.writes`.
-
-    `seed` is omitted when the walk reached a true root with no snapshot
-    found (channel never entered `seeded`); consumers treat absence as
-    "start empty".
-    """
-    writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
-        ch: {} for ch in channels
-    }
-    for cid, ch, task_id, idx, type_tag, value_blob in stage2_rows:
-        writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
-            (type_tag, value_blob, 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]))
-
-    result: dict[str, DeltaChannelHistory] = {}
-    for ch in channels:
-        chain_cids = chain_by_ch.get(ch, [])
-        cid_writes = writes_by_ch_by_cid.get(ch, {})
-        collected: list[PendingWrite] = []
-        # Chain is newest-first; iterate oldest-first for the public order.
-        for cid in reversed(chain_cids):
-            for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
-                collected.append(
-                    (task_id, ch, serde.loads_typed((type_tag, value_blob)))
-                )
-        entry: DeltaChannelHistory = {"writes": collected}
-        if ch in seeded:
-            entry["seed"] = seed_val_by_ch[ch]
-        result[ch] = entry
-    return result
@@ -4,7 +4,7 @@ import asyncio
 import json
 import random
 import threading
-from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
 from contextlib import asynccontextmanager
 from typing import Any, TypeVar, cast

@@ -17,19 +17,12 @@ from langgraph.checkpoint.base import (
    Checkpoint,
    CheckpointMetadata,
    CheckpointTuple,
-    DeltaChannelHistory,
    SerializerProtocol,
    get_checkpoint_id,
    get_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer

-from langgraph.checkpoint.sqlite._delta import (
-    DELTA_STAGE1_SQL,
-    build_delta_channels_writes_history,
-    build_delta_stage2_sql,
-    step_walk_with_row,
-)
 from langgraph.checkpoint.sqlite.utils import search_where

 T = TypeVar("T", bound=Callable)
@@ -279,29 +272,6 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
            self.adelete_thread(thread_id), self.loop
        ).result()

-    def get_delta_channel_history(
-        self, *, config: RunnableConfig, channels: Sequence[str]
-    ) -> Mapping[str, DeltaChannelHistory]:
-        """Sync bridge to `aget_delta_channel_history`.
-
-        Mirrors the same cross-thread guard as `get_tuple` /
-        `delete_thread` — calling from the loop thread raises rather than
-        deadlocking.
-        """
-        try:
-            if asyncio.get_running_loop() is self.loop:
-                raise asyncio.InvalidStateError(
-                    "Synchronous calls to AsyncSqliteSaver are only allowed from a "
-                    "different thread. From the main thread, use the async interface. "
-                    "For example, use `await checkpointer.aget_delta_channel_history(...)`."
-                )
-        except RuntimeError:
-            pass
-        return asyncio.run_coroutine_threadsafe(
-            self.aget_delta_channel_history(config=config, channels=channels),
-            self.loop,
-        ).result()
-
    async def setup(self) -> None:
        """Set up the checkpoint database asynchronously.

@@ -619,83 +589,6 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
            )
            await self.conn.commit()

-    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 `SqliteSaver.get_delta_channel_history` for design notes; this
-        is the async equivalent using `aiosqlite` cursors. Stage 1 pages
-        the parent chain newest-first and Python-deserializes each
-        checkpoint blob to find per-channel snapshots; stage 2 fetches
-        only the relevant writes via per-channel UNION ALL.
-        """
-        if not channels:
-            return {}
-        channels = list(channels)
-        await self.setup()
-        thread_id = str(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"]
-
-        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
-        seed_val_by_ch: dict[str, Any] = {}
-        walk_state: dict[str, Any] = {}
-        seeded: set[str] = set()
-
-        async with self.lock, self.conn.cursor() as cur:
-            await cur.execute(
-                DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id)
-            )
-            async for row in cur:
-                cid, parent_cid, type_tag, blob = row
-                if step_walk_with_row(
-                    cid=cid,
-                    parent_cid=parent_cid,
-                    type_tag=type_tag,
-                    blob=blob,
-                    target_id=checkpoint_id,
-                    serde=self.serde,
-                    chain_by_ch=chain_by_ch,
-                    seed_val_by_ch=seed_val_by_ch,
-                    walk_state=walk_state,
-                    seeded=seeded,
-                    channels=channels,
-                ):
-                    break
-
-            channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
-            stage2_sql = build_delta_stage2_sql(
-                chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
-            )
-            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]]
-                    )
-                await cur.execute(stage2_sql, stage2_params)
-                stage2_rows = cast(
-                    "list[tuple[str, str, str, int, str, bytes]]",
-                    await cur.fetchall(),
-                )
-            else:
-                stage2_rows = []
-
-        return build_delta_channels_writes_history(
-            channels=channels,
-            chain_by_ch=chain_by_ch,
-            seed_val_by_ch=seed_val_by_ch,
-            seeded=seeded,
-            stage2_rows=stage2_rows,
-            serde=self.serde,
-        )
-
    def get_next_version(self, current: str | None, channel: None) -> str:
        """Generate the next version ID for a channel.

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

 [project]
 name = "langgraph-checkpoint-sqlite"
-version = "3.1.0a1"
+version = "3.0.3"
 description = "Library with a SQLite implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -12,14 +12,14 @@ readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-    "langgraph-checkpoint>=4.1.0a4,<5.0.0",
+    "langgraph-checkpoint>=3,<5.0.0",
    "aiosqlite>=0.20",
    "sqlite-vec>=0.1.6",
 ]

 [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/"

@@ -1,170 +0,0 @@
-"""Sqlite-specific migration smoke tests: BinaryOperatorAggregate -> DeltaChannel.
-
-Mirrors `libs/langgraph/tests/test_delta_channel_migration.py` (which
-covers `InMemorySaver` + a third-party fallback to the base default
-impl). This file exercises the same migration scenario through the
-sqlite-specific `SqliteSaver.get_delta_channel_history` override —
-specifically that the streaming ancestor walk finds a pre-migration
-plain `channel_values[ch]` entry and surfaces it as the `seed`, with
-post-migration writes folding on top through the reducer.
-
-Pre-migration checkpoints under `BinaryOperatorAggregate` carry the
-full accumulated value at every settled super-step boundary. The
-override has to identify those as "real" seeds (not `_DeltaSnapshot`
-sentinels) — the saver layer is intentionally delta-agnostic and just
-returns whatever is stored in `channel_values[ch]`.
-"""
-
-from __future__ import annotations
-
-import operator
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.runnables import RunnableConfig
-
-# `langgraph` core isn't a dep of `langgraph-checkpoint-sqlite`. Skip the
-# whole module rather than importerror-ing in the standalone CI shape.
-pytest.importorskip("langgraph.channels.delta", reason="langgraph core not installed")
-pytest.importorskip("langgraph.channels.binop", reason="langgraph core not installed")
-pytest.importorskip("langgraph.graph", reason="langgraph core not installed")
-
-from langgraph.channels.binop import BinaryOperatorAggregate  # type: ignore[import-untyped]  # noqa: E402,I001
-from langgraph.channels.delta import DeltaChannel  # type: ignore[import-untyped]  # 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
-
-
-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: RunnableConfig, tag: str, n: int) -> None:
-    for i in range(n):
-        graph.invoke({"items": [f"{tag}{i}"]}, config)
-
-
-async def _adrive(graph: Any, config: RunnableConfig, 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[RunnableConfig, list]]:
-    """`(config, items)` for every checkpoint with `next == ('__start__',)`
-    — the stable inter-invoke boundaries that round-trip predictably.
-    """
-    return [
-        (s.config, list(s.values.get("items", [])))
-        for s in history
-        if s.next == ("__start__",)
-    ]
-
-
-def test_migration_preserves_pre_migration_state_sync() -> None:
-    """Drive 3 invokes under `BinaryOperatorAggregate`, swap the
-    annotation to `DeltaChannel` on the same sqlite-backed thread, and
-    verify every settled pre-migration boundary round-trips exactly.
-
-    The override's streaming walk must identify the plain accumulated
-    list at each pre-migration ancestor as a valid `seed` even though
-    no `_DeltaSnapshot` was ever written there.
-    """
-    with SqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "mig-sync"}}
-
-        binop = _binop_graph(saver)
-        _drive(binop, config, "u", 3)
-
-        pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
-        assert len(pre_boundaries) >= 2, "expected multiple settled boundaries"
-
-        delta = _delta_graph(saver)
-        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', [])}"
-            )
-
-
-def test_migration_continued_thread_folds_deltas_on_seed_sync() -> None:
-    """After migration, driving one more super-step extends the
-    pre-migration accumulated state via the delta reducer — the seed
-    plus a single new write.
-    """
-    with SqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "mig-continue-sync"}}
-
-        binop = _binop_graph(saver)
-        _drive(binop, config, "u", 3)
-
-        pre_history = list(binop.get_state_history(config))
-        pre_boundaries = _settled_boundaries(pre_history)
-        # Latest settled boundary — the leaf pre-migration state.
-        leaf_cfg, leaf_items = pre_boundaries[0]
-        assert leaf_items, "expected non-empty pre-migration leaf"
-
-        delta = _delta_graph(saver)
-        delta.invoke({"items": ["after-migration"]}, leaf_cfg)
-        new_state = delta.get_state(config).values["items"]
-        assert new_state[: len(leaf_items)] == leaf_items
-        assert "after-migration" in new_state
-
-
-async def test_migration_preserves_pre_migration_state_async() -> None:
-    """Async equivalent of the basic-migration round-trip check on
-    `AsyncSqliteSaver`."""
-    async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
-        config: RunnableConfig = {"configurable": {"thread_id": "mig-async"}}
-
-        binop = _binop_graph(saver)
-        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(saver)
-        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']}"
-            )
@@ -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 = [
    { name = "langchain-core" },
@@ -320,7 +316,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "3.1.0a1"
+version = "3.0.3"
 source = { editable = "." }
 dependencies = [
    { name = "aiosqlite" },
@@ -389,7 +385,7 @@ test = [

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 name = "langsmith"
-version = "0.7.31"
+version = "0.6.4"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -399,12 +395,11 @@ dependencies = [
    { name = "requests" },
    { name = "requests-toolbelt" },
    { name = "uuid-utils" },
-    { name = "xxhash" },
    { name = "zstandard" },
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 [[package]]
@@ -494,7 +489,7 @@ wheels = [

 [[package]]
 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."""
@@ -115,172 +115,6 @@ class BuildResult:
    show_build_logs_on_failure: bool = False


-# ---------------------------------------------------------------------------
-# Structured output emitter
-# ---------------------------------------------------------------------------
-
-_emitter: "_Emitter | None" = None
-_no_input: bool = False
-
-
-class _Emitter:
-    """Dual-mode output: JSON-lines (``--json``) or human-readable click text."""
-
-    def __init__(self, json_mode: bool) -> None:
-        self._json = json_mode
-
-    @property
-    def json_mode(self) -> bool:
-        return self._json
-
-    # -- Structured event helpers ------------------------------------------
-
-    def step(self, step: int, message: str, **extra: object) -> None:
-        if self._json:
-            self._write({"event": "step", "step": step, "message": message, **extra})
-        else:
-            click.secho(f"{step}. {message}", fg="cyan")
-
-    def info(self, message: str, **extra: object) -> None:
-        if self._json:
-            self._write({"event": "info", "message": message, **extra})
-        else:
-            click.secho(f"   {message}", fg="green")
-
-    def warn(self, message: str, **extra: object) -> None:
-        """Warning nested under a step. Text mode indents; JSON mode strips leading whitespace."""
-        if self._json:
-            self._write({"event": "warn", "message": message.lstrip(), **extra})
-        else:
-            click.secho(f"   {message}", fg="yellow")
-
-    def note(self, message: str, **extra: object) -> None:
-        """Top-level banner (pre-step). Text mode does not indent."""
-        if self._json:
-            self._write({"event": "note", "message": message, **extra})
-        else:
-            click.secho(message, fg="yellow")
-
-    def error(self, message: str, **extra: object) -> None:
-        if self._json:
-            self._write({"event": "error", "message": message, **extra})
-        else:
-            click.secho(f"   {message}", fg="red")
-
-    def status_change(
-        self,
-        status: str,
-        elapsed_seconds: float,
-        finished: bool = False,
-    ) -> None:
-        mins, secs = divmod(int(elapsed_seconds), 60)
-        elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
-        if self._json:
-            self._write(
-                {
-                    "event": "status_change",
-                    "status": status,
-                    "elapsed_seconds": round(elapsed_seconds, 1),
-                    "message": f"{status}... ({elapsed_str})",
-                }
-            )
-        else:
-            click.echo(f"   {status}... ({elapsed_str})")
-
-    def log(self, message: str) -> None:
-        if self._json:
-            self._write({"event": "log", "message": message})
-        else:
-            click.echo(f"   | {message}")
-
-    def status_url(self, url: str) -> None:
-        if self._json:
-            self._write({"event": "status_url", "url": url})
-        else:
-            click.secho(f"   View status: {url}", fg="cyan")
-
-    def result(
-        self,
-        status: str,
-        *,
-        deployment_id: str,
-        url: str | None = None,
-        status_url: str | None = None,
-        fallback_status_message: str | None = None,
-    ) -> None:
-        if self._json:
-            if status == "succeeded":
-                message = "Deployment successful!"
-            elif status == "failed":
-                message = "Deployment failed"
-            else:
-                message = "Timed out waiting for deployment."
-            payload: dict = {
-                "event": "result",
-                "status": status,
-                "deployment_id": deployment_id,
-                "message": message,
-            }
-            if url:
-                payload["url"] = url
-            if status_url:
-                payload["status_url"] = status_url
-            self._write(payload)
-        else:
-            if status == "succeeded":
-                click.secho("   Deployment successful!", fg="green")
-                if url:
-                    click.secho(f"   URL: {url}", fg="green")
-                if status_url:
-                    click.secho(f"   View status: {status_url}", fg="green")
-            elif status == "failed":
-                click.secho("   Deployment failed", fg="red")
-                if status_url:
-                    click.secho(f"   View status: {status_url}", fg="red")
-            elif status == "timed_out":
-                click.secho("   Timed out waiting for deployment.", fg="yellow")
-                if status_url:
-                    click.secho(f"   Check status at: {status_url}", fg="yellow")
-                elif fallback_status_message:
-                    click.secho(f"   {fallback_status_message}", fg="yellow")
-
-    def heartbeat(self, status: str, elapsed_seconds: float) -> None:
-        if self._json:
-            mins, secs = divmod(int(elapsed_seconds), 60)
-            elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
-            self._write(
-                {
-                    "event": "heartbeat",
-                    "status": status,
-                    "elapsed_seconds": round(elapsed_seconds, 1),
-                    "message": f"{status}... ({elapsed_str})",
-                }
-            )
-
-    def upload_progress(self, size_mb: float, pct: int) -> None:
-        if self._json:
-            self._write(
-                {
-                    "event": "upload_progress",
-                    "size_mb": round(size_mb, 1),
-                    "pct": pct,
-                }
-            )
-        else:
-            click.echo(f"\r   Uploading ({size_mb:.1f} MB)... {pct}%", nl=False)
-
-    def _write(self, obj: dict) -> None:
-        import sys as _sys
-
-        _sys.stdout.write(json_mod.dumps(obj, default=str) + "\n")
-        _sys.stdout.flush()
-
-
-def _get_emitter() -> _Emitter:
-    """Return the module-level emitter (falls back to text mode)."""
-    return _emitter or _Emitter(json_mode=False)
-
-
 # ---------------------------------------------------------------------------
 # Validators
 # ---------------------------------------------------------------------------
@@ -338,16 +172,15 @@ def find_deployment_id_by_name(
 # ---------------------------------------------------------------------------


-def normalize_name(value: str | None) -> str:
-    """Sanitize a deployment/directory name into a valid deployment name.
+def normalize_image_name(value: str | None) -> str:
+    """Sanitize a deployment/directory name into a valid Docker repository name.

-    LangSmith Deployment names only allow lowercase
-    alphanumeric characters and hyphens ([a-z0-9-]).
-    Invalid characters are replaced with hyphens.
+    Docker repository names must be lowercase and may only contain
+    [a-z0-9._-].  Invalid characters are replaced with hyphens.
    """
    if not value:
        return "app"
-    slug = re.sub(r"[^a-z0-9-]+", "-", value.lower()).strip("-")
+    slug = re.sub(r"[^a-z0-9._-]+", "-", value.lower()).strip("-.")
    return slug or "app"


@@ -474,8 +307,9 @@ def _resolve_env_path(
    if isinstance(env_field, str):
        env_path = (config_path.parent / env_field).resolve()
        if not env_path.exists():
-            _get_emitter().note(
-                f"Warning: env file '{env_field}' specified in langgraph.json not found."
+            click.secho(
+                f"Warning: env file '{env_field}' specified in langgraph.json not found.",
+                fg="yellow",
            )
            return None
        return env_path
@@ -509,7 +343,7 @@ def _secrets_from_env(
    secrets: list[dict[str, str]] = []
    for name, value in env_vars.items():
        if name in RESERVED_ENV_VARS:
-            _get_emitter().note(f"Skipping reserved env var: {name}")
+            click.secho(f"   Skipping reserved env var: {name}", fg="yellow")
            continue
        if not value:
            continue
@@ -552,8 +386,8 @@ def _resolve_build_mode(
 # ---------------------------------------------------------------------------


-def _log_deploy_step(step: int, message: str, **extra: object) -> None:
-    _get_emitter().step(step, message, **extra)
+def _log_deploy_step(step: int, message: str) -> None:
+    click.secho(f"{step}. {message}", fg="cyan")


 def _resolve_deployment(
@@ -577,13 +411,12 @@ def _resolve_deployment(
    found_id = _call_host_backend_with_optional_tenant(
        client, lambda c: find_deployment_id_by_name(c, name)
    )
-    em = _get_emitter()
    if found_id:
        deployment_id = str(found_id)
-        em.info(f"Found existing deployment (ID: {deployment_id})")
+        click.secho(f"   Found existing deployment (ID: {deployment_id})", fg="green")
    else:
        needs_creation = True
-        em.warn(not_found_message)
+        click.secho(not_found_message, fg="yellow")
    return deployment_id, needs_creation, step + 1


@@ -611,7 +444,7 @@ def _create_deployment(
        raise HostBackendError(
            "POST /v2/deployments succeeded but response missing a valid 'id'"
        )
-    _get_emitter().info(f"Deployment ID: {created_id}", deployment_id=created_id)
+    click.secho(f"   Deployment ID: {created_id}", fg="green")
    return created_id, step + 1


@@ -625,36 +458,21 @@ def _smith_dashboard_base_url(host_url: str | None) -> str:
    hostname = parsed.hostname or ""
    if hostname in ("localhost", "127.0.0.1"):
        return host_url.rstrip("/")
-
-    api_host_suffix = "api.host.langchain.com"
-    if hostname == api_host_suffix:
-        return "https://smith.langchain.com"
-    if hostname.endswith(f".{api_host_suffix}"):
-        prefix = hostname[: -(len(api_host_suffix) + 1)]
-        return f"https://{prefix}.smith.langchain.com"
-
+    if hostname.startswith("eu."):
+        return "https://eu.smith.langchain.com"
    return "https://smith.langchain.com"


-def _get_deployment_status_url(
+def _print_deployment_status_url(
    updated: object, deployment_id: str, host_url: str | None = None
-) -> str | None:
-    """Compute the LangSmith dashboard URL for a deployment, if possible."""
+) -> None:
+    """Print the deployment status URL when tenant metadata is available."""
    tenant_id = updated.get("tenant_id") if isinstance(updated, dict) else None
    if not tenant_id:
-        return None
+        return
    base = _smith_dashboard_base_url(host_url)
-    return f"{base}/o/{tenant_id}/host/deployments/{deployment_id}"
-
-
-def _emit_deployment_status_url(
-    updated: object, deployment_id: str, host_url: str | None = None
-) -> str | None:
-    """Emit the deployment status URL and return it."""
-    url = _get_deployment_status_url(updated, deployment_id, host_url)
-    if url:
-        _get_emitter().status_url(url)
-    return url
+    status_url = f"{base}/o/{tenant_id}/host/deployments/{deployment_id}"
+    click.secho(f"   View status: {status_url}", fg="cyan")


 def _poll_revision_status(
@@ -668,7 +486,6 @@ def _poll_revision_status(
    on_interrupt: Callable[[str], None] | None = None,
 ) -> tuple[str, str | None]:
    """Poll latest revision status until terminal status or timeout."""
-    em = _get_emitter()
    revisions_resp = client.list_revisions(deployment_id, limit=1)
    resources = (
        revisions_resp.get("resources", []) if isinstance(revisions_resp, dict) else []
@@ -680,11 +497,7 @@ def _poll_revision_status(
    last_status = ""
    deadline = time.time() + timeout_seconds
    start_time = time.monotonic()
-    last_heartbeat = start_time
-    json_mode = em.json_mode
-    with Progress(
-        message=progress_message, elapsed=True, json_mode=json_mode
-    ) as set_progress:
+    with Progress(message=progress_message, elapsed=True) as set_progress:
        while time.time() < deadline:
            try:
                rev = client.get_revision(deployment_id, revision_id)
@@ -701,15 +514,14 @@ def _poll_revision_status(
            if status != last_status:
                set_progress("")
                if last_status:
-                    em.status_change(last_status, time.monotonic() - start_time)
+                    elapsed = time.monotonic() - start_time
+                    mins, secs = divmod(int(elapsed), 60)
+                    elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
+                    click.echo(f"   {last_status}... ({elapsed_str})")
                last_status = status
                if status in _TERMINAL_STATUSES:
                    break
                set_progress(f"{status}...")
-                last_heartbeat = time.monotonic()
-            elif json_mode and time.monotonic() - last_heartbeat > 10:
-                em.heartbeat(last_status, time.monotonic() - start_time)
-                last_heartbeat = time.monotonic()

            if on_poll is not None:
                on_poll(status, revision_id, set_progress)
@@ -726,10 +538,8 @@ def _print_deployment_result(
    last_status: str,
    *,
    dashboard_label: str,
-    status_url: str | None = None,
 ) -> None:
    """Print final deployment status and raise on failure."""
-    em = _get_emitter()
    dep_info = client.get_deployment(deployment_id)
    custom_url = None
    if isinstance(dep_info, dict):
@@ -738,28 +548,24 @@ def _print_deployment_result(
            custom_url = sc.get("custom_url")

    if last_status == "DEPLOYED":
-        em.result(
-            "succeeded",
-            deployment_id=deployment_id,
-            url=custom_url,
-            status_url=status_url,
-        )
+        click.secho("   Deployment successful!", fg="green")
+        if custom_url:
+            click.secho(f"   URL: {custom_url}", fg="green")
    elif last_status in ("BUILD_FAILED", "DEPLOY_FAILED", "CREATE_FAILED"):
-        em.result(
-            "failed",
-            deployment_id=deployment_id,
-            status_url=status_url,
-        )
+        click.secho(f"   Deployment failed: {last_status}", fg="red")
        raise click.exceptions.Exit(1)
    else:
-        em.result(
-            "timed_out",
-            deployment_id=deployment_id,
-            status_url=status_url,
-            fallback_status_message=(
-                f"Check status in the LangSmith {dashboard_label}."
-            ),
+        click.secho(
+            f"   Timed out waiting for deployment (last status: {last_status}).",
+            fg="yellow",
        )
+        if custom_url:
+            click.secho(f"   Check status at: {custom_url}", fg="yellow")
+        else:
+            click.secho(
+                f"   Check status in the LangSmith {dashboard_label}.",
+                fg="yellow",
+            )


 # ---------------------------------------------------------------------------
@@ -788,16 +594,14 @@ def _docker_config_for_token(registry_host: str, token: str):
 # ---------------------------------------------------------------------------

 _UPLOAD_TIMEOUT_SECONDS = 300
-_BYTES_PER_MIB = 1_048_576


 class _ProgressReader:
-    """File-like wrapper that reports upload progress via the emitter."""
+    """File-like wrapper that displays upload progress via click."""

-    def __init__(self, fobj, file_size: int, emitter: "_Emitter"):
+    def __init__(self, fobj, file_size: int):
        self._fobj = fobj
        self._file_size = file_size
-        self._emitter = emitter
        self._uploaded = 0

    def read(self, size=-1):
@@ -807,7 +611,10 @@ class _ProgressReader:
            pct = (
                int(self._uploaded * 100 / self._file_size) if self._file_size else 100
            )
-            self._emitter.upload_progress(self._file_size / _BYTES_PER_MIB, pct)
+            click.echo(
+                f"\r   Uploading ({self._file_size / 1_048_576:.1f} MB)... {pct}%",
+                nl=False,
+            )
        return data

    def __len__(self):
@@ -819,13 +626,10 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
    import urllib.error
    import urllib.request

-    em = _get_emitter()
-
    with open(file_path, "rb") as f:
-        reader = _ProgressReader(f, file_size, em)
        req = urllib.request.Request(
            signed_url,
-            data=reader,
+            data=_ProgressReader(f, file_size),
            method="PUT",
            headers={
                "Content-Type": "application/gzip",
@@ -840,8 +644,7 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
            raise click.ClickException(
                f"Upload failed with status {err.code}: {detail}"
            ) from None
-    if not em.json_mode:
-        click.echo()
+    click.echo()


 # ---------------------------------------------------------------------------
@@ -949,7 +752,7 @@ def _run_local_build(
        if "://" in normalized_registry:
            normalized_registry = normalized_registry.split("//", 1)[1]
        repo_seed = image_name or name or config.parent.name
-        repo_name = normalize_name(repo_seed)
+        repo_name = normalize_image_name(repo_seed)
        tag_value = normalize_image_tag(tag)
        remote_image = f"{normalized_registry}/{repo_name}:{tag_value}"

@@ -1008,8 +811,9 @@ def _run_local_build(
                    break
                except click.exceptions.Exit:
                    if attempt < max_push_retries - 1:
-                        _get_emitter().warn(
-                            f"   Push failed, retrying (attempt {attempt + 2} of {max_push_retries})..."
+                        click.secho(
+                            f"   Push failed, retrying (attempt {attempt + 2} of {max_push_retries})...",
+                            fg="yellow",
                        )
                    else:
                        raise
@@ -1043,10 +847,9 @@ def _run_remote_build(
    """Upload source tarball and trigger a remote build."""
    from langgraph_cli.archive import create_archive

-    em = _get_emitter()
    _log_deploy_step(step, "Creating source archive")
    with create_archive(config, config_json) as (archive_path, file_size, config_rel):
-        em.info(f"Archive created ({file_size / _BYTES_PER_MIB:.1f} MB)")
+        click.secho(f"   Archive created ({file_size / 1_048_576:.1f} MB)", fg="green")
        step += 1

        _log_deploy_step(step, "Requesting upload URL")
@@ -1094,12 +897,12 @@ def _run_remote_build(
                if has_output:
                    set_progress("")
                    if not logs_header_printed:
-                        em.info(f"{status} (build logs):")
+                        click.echo(f"   {status} (build logs):")
                        logs_header_printed = True
                for entry in entries:
                    msg = entry.get("message", "")
                    if msg:
-                        em.log(msg)
+                        click.echo(f"   | {msg}")
                log_offset = logs_resp.get("next_offset") or log_offset
                if has_output:
                    set_progress(f"{status}...")
@@ -1107,10 +910,11 @@ def _run_remote_build(
            pass

    def _handle_interrupt(revision_id: str) -> None:
-        em.warn(
-            f"\nInterrupted. Deployment ID: {deployment_id}, Revision ID: {revision_id}"
+        click.secho(
+            f"\n   Interrupted. Deployment ID: {deployment_id}, Revision ID: {revision_id}",
+            fg="yellow",
        )
-        em.warn("The build will continue remotely.")
+        click.secho("   The build will continue remotely.", fg="yellow")

    return BuildResult(
        updated=updated if isinstance(updated, dict) else {},
@@ -1148,20 +952,12 @@ def _create_host_backend_client(
                resolved_api_key = val
                break
    if not resolved_api_key:
-        if _no_input:
-            raise click.ClickException(
-                "No LangSmith API key found. Set LANGSMITH_API_KEY in the "
-                "environment or .env file."
-            )
        click.secho(
            "No LangSmith API key found. Create one at Settings > API Keys in LangSmith.",
            fg="yellow",
        )
        resolved_api_key = click.prompt("Enter LangSmith API key", hide_input=True)
-    tenant_id = env_vars.get("LANGSMITH_TENANT_ID") or os.environ.get(
-        "LANGSMITH_TENANT_ID"
-    )
-    return HostBackendClient(host_url, resolved_api_key, tenant_id=tenant_id)
+    return HostBackendClient(host_url, resolved_api_key)


 def _call_host_backend_with_optional_tenant(
@@ -1186,12 +982,6 @@ def _call_host_backend_with_optional_tenant(
                and err.status_code == 403
                and "requires workspace specification" in err.message
            ):
-                if _no_input:
-                    raise click.ClickException(
-                        "API key is org-scoped and requires a workspace ID. "
-                        "Set LANGSMITH_TENANT_ID in your .env file or "
-                        "use a workspace-scoped API key."
-                    ) from None
                click.secho(
                    "Your API key is org-scoped and requires a workspace ID.",
                    fg="yellow",
@@ -1399,19 +1189,6 @@ def _deploy_base_options(
                    "if Docker is not available locally."
                ),
            ),
-            click.option(
-                "--json",
-                "json_output",
-                is_flag=True,
-                default=False,
-                help="Emit structured JSON-lines to stdout instead of human-readable text.",
-            ),
-            click.option(
-                "--no-input",
-                is_flag=True,
-                default=False,
-                help="Never prompt for input; fail with an error if a required value is missing.",
-            ),
        ]
        if include_docker_args:
            # Only attach build args to the default command; on the group they
@@ -1479,50 +1256,36 @@ def _deploy_cmd(
    no_wait: bool,
    remote_build_flag: bool | None,
    docker_build_args: Sequence[str],
-    json_output: bool,
-    no_input: bool,
 ):
-    global _emitter, _no_input
-    _emitter = _Emitter(json_mode=json_output)
-    _no_input = no_input
-    em = _emitter
-
-    em.note(
-        "Note: 'langgraph deploy' is in beta. Expect frequent updates and improvements."
+    click.secho(
+        "Note: 'langgraph deploy' is in beta. Expect frequent updates and improvements.",
+        fg="yellow",
    )
-    if not json_output:
-        click.echo()
+    click.echo()

    # -- 1. Preflight --
    validate_deploy_commands(install_command, build_command)
    config_json = langgraph_cli.config.validate_config_file(config)
-    warn_non_wolfi_distro(config_json, emit=em.note)
+    warn_non_wolfi_distro(config_json)

    env_vars = _parse_env_from_config(config_json, config)

    if not deployment_id and not name:
        name = env_vars.get(_DEPLOYMENT_NAME_ENV)
    if not deployment_id and not name:
-        default_name = normalize_name(pathlib.Path.cwd().name)
-        if no_input:
-            name = default_name
-        else:
-            name = click.prompt("Deployment name", default=default_name)
-    if name and not deployment_id:
-        name = normalize_name(name)
-        if not no_input:
-            env_path = _resolve_env_path(config_json, config)
-            if env_path is not None:
-                set_key(str(env_path), _DEPLOYMENT_NAME_ENV, name)
-                em.info(f"Saved deployment name to {env_path}")
+        default_name = normalize_image_name(pathlib.Path.cwd().name)
+        name = click.prompt("Deployment name", default=default_name)
+        env_path = _resolve_env_path(config_json, config)
+        if env_path is not None:
+            set_key(str(env_path), _DEPLOYMENT_NAME_ENV, name)
+            click.echo(f"Saved deployment name to {env_path}")

    secrets = _secrets_from_env(_env_without_deployment_name(env_vars))

    use_remote_build, local_build_error = _resolve_build_mode(remote_build_flag)
    if use_remote_build and remote_build_flag is None and local_build_error:
-        em.note(f"{local_build_error}\nUsing remote build instead.")
-        if not json_output:
-            click.echo()
+        click.secho(f"{local_build_error}\nUsing remote build instead.", fg="yellow")
+        click.echo()

    # -- 2. Resolve / create deployment --
    client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
@@ -1534,9 +1297,9 @@ def _deploy_cmd(
        deployment_id,
        name,
        not_found_message=(
-            "No deployment found. Will create."
+            "   No deployment found. Will create."
            if use_remote_build
-            else "No deployment found. Will create after build."
+            else "   No deployment found. Will create after build."
        ),
    )

@@ -1587,14 +1350,10 @@ def _deploy_cmd(
        )

    # -- 4. Shared wait + result --
-    dep_status_url = _emit_deployment_status_url(
-        build_result.updated,
-        deployment_id,
-        host_url,
-    )
+    _print_deployment_status_url(build_result.updated, deployment_id, host_url)

    if no_wait:
-        em.info(build_result.no_result_message)
+        click.secho(f"   {build_result.no_result_message}", fg="green")
        return

    last_status, revision_id = _poll_revision_status(
@@ -1607,7 +1366,7 @@ def _deploy_cmd(
        on_interrupt=build_result.on_interrupt,
    )
    if not last_status:
-        em.info(build_result.no_result_message)
+        click.secho(f"   {build_result.no_result_message}", fg="green")
        return

    if (
@@ -1616,7 +1375,7 @@ def _deploy_cmd(
        and not verbose
        and revision_id is not None
    ):
-        em.error("Last build log lines:")
+        click.secho("   Last build log lines:", fg="red")
        try:
            logs_resp = client.get_build_logs(
                deployment_id,
@@ -1628,17 +1387,19 @@ def _deploy_cmd(
                for entry in entries:
                    msg = entry.get("message", "")
                    if msg:
-                        em.log(msg)
+                        click.echo(f"   | {msg}")
        except Exception:
-            em.error("(failed to fetch build logs)")
-        em.warn("Re-run with --verbose to see full build output.")
+            click.secho("   (failed to fetch build logs)", fg="red")
+        click.secho(
+            "   Re-run with --verbose to see full build output.",
+            fg="yellow",
+        )

    _print_deployment_result(
        client,
        deployment_id,
        last_status,
        dashboard_label="Deployment dashboard",
-        status_url=dep_status_url,
    )


@@ -12,11 +12,10 @@ class Progress:
        while True:
            yield from "|/-\\"

-    def __init__(self, *, message="", elapsed: bool = False, json_mode: bool = False):
+    def __init__(self, *, message="", elapsed: bool = False):
        self.message = message
        self._base_message = message
        self._show_elapsed = elapsed
-        self._json_mode = json_mode
        # use this to make sure we don't kill thread when we set msg to ""
        self._stop = threading.Event()
        # signalled when the spinner has no text on screen
@@ -70,9 +69,6 @@ class Progress:
            self._line_clear.set()

    def __enter__(self) -> Callable[[str], None]:
-        if self._json_mode:
-            return lambda message: None
-
        if sys.stdout.isatty():
            self.thread = threading.Thread(target=self.spinner_task)
            self.thread.start()
@@ -94,8 +90,6 @@ class Progress:
            return set_message

    def __exit__(self, exception, value, tb):
-        if self._json_mode:
-            return
        if sys.stdout.isatty():
            self.message = ""
            self._stop.set()
@@ -1,7 +1,5 @@
 """General-purpose utilities shared across the LangGraph CLI."""

-from collections.abc import Callable
-
 import click


@@ -9,42 +7,21 @@ def clean_empty_lines(input_str: str):
    return "\n".join(filter(None, input_str.splitlines()))


-def warn_non_wolfi_distro(
-    config_json: dict,
-    *,
-    emit: Callable[[str], None] | None = None,
-) -> None:
-    """Show warning if image_distro is not set to 'wolfi'.
-
-    When ``emit`` is provided, each warning line is sent through it (used by
-    callers that need JSON-aware output). Otherwise falls back to colored
-    ``click.secho`` output.
-    """
+def warn_non_wolfi_distro(config_json: dict) -> None:
+    """Show warning if image_distro is not set to 'wolfi'."""
    image_distro = config_json.get("image_distro", "debian")  # Default is debian
-    if image_distro == "wolfi":
-        return
-    if emit is not None:
-        emit(
-            "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security."
+    if image_distro != "wolfi":
+        click.secho(
+            "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",
+            fg="yellow",
+            bold=True,
        )
-        emit(
-            "   Wolfi is a security-oriented, minimal Linux distribution designed for containers."
+        click.secho(
+            "   Wolfi is a security-oriented, minimal Linux distribution designed for containers.",
+            fg="yellow",
        )
-        emit(
-            '   To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.'
+        click.secho(
+            '   To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',
+            fg="yellow",
        )
-        return
-    click.secho(
-        "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",
-        fg="yellow",
-        bold=True,
-    )
-    click.secho(
-        "   Wolfi is a security-oriented, minimal Linux distribution designed for containers.",
-        fg="yellow",
-    )
-    click.secho(
-        '   To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',
-        fg="yellow",
-    )
-    click.secho("")  # Empty line for better readability
+        click.secho("")  # Empty line for better readability
@@ -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)
@@ -1,8 +1,6 @@
 import base64
-import io
 import json
 import os
-import sys

 import click
 import httpx
@@ -10,15 +8,12 @@ import pytest

 from langgraph_cli.deploy import (
    _call_host_backend_with_optional_tenant,
-    _create_host_backend_client,
    _docker_config_for_token,
-    _Emitter,
    _env_without_deployment_name,
    _parse_env_from_config,
    _resolve_env_path,
-    _smith_dashboard_base_url,
+    normalize_image_name,
    normalize_image_tag,
-    normalize_name,
 )
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError

@@ -45,33 +40,30 @@ class TestDockerConfigForToken:
            assert "gcr.io" in data["auths"]


-class TestNormalizeName:
+class TestNormalizeImageName:
    def test_simple_name(self):
-        assert normalize_name("myapp") == "myapp"
+        assert normalize_image_name("myapp") == "myapp"

    def test_uppercase_lowered(self):
-        assert normalize_name("MyApp") == "myapp"
+        assert normalize_image_name("MyApp") == "myapp"

    def test_special_chars_replaced(self):
-        assert normalize_name("my app!@#v2") == "my-app-v2"
+        assert normalize_image_name("my app!@#v2") == "my-app-v2"

-    def test_dots_replaced_with_hyphens(self):
-        assert normalize_name("my-app.v2") == "my-app-v2"
-
-    def test_underscores_replaced_with_hyphens(self):
-        assert normalize_name("simple_graph_name") == "simple-graph-name"
+    def test_dots_and_hyphens_kept(self):
+        assert normalize_image_name("my-app.v2") == "my-app.v2"

    def test_leading_trailing_stripped(self):
-        assert normalize_name("--my-app..") == "my-app"
+        assert normalize_image_name("--my-app..") == "my-app"

    def test_empty_string_returns_app(self):
-        assert normalize_name("") == "app"
+        assert normalize_image_name("") == "app"

    def test_none_returns_app(self):
-        assert normalize_name(None) == "app"
+        assert normalize_image_name(None) == "app"

    def test_all_invalid_chars_returns_app(self):
-        assert normalize_name("!!!") == "app"
+        assert normalize_image_name("!!!") == "app"


 class TestNormalizeImageTag:
@@ -279,256 +271,3 @@ class TestCallHostBackendWithOptionalTenant:
            _call_host_backend_with_optional_tenant(
                client, lambda c: c.list_deployments()
            )
-
-    def test_workspace_prompt_blocked_by_no_input(self, monkeypatch):
-        """With _no_input=True, 403 requiring workspace should raise ClickException."""
-        import langgraph_cli.deploy as deploy_mod
-
-        monkeypatch.setattr(deploy_mod, "_no_input", True)
-
-        requires_workspace = '{"detail":"requires workspace specification"}'
-        client = self._make_client(
-            lambda req: httpx.Response(403, text=requires_workspace)
-        )
-        with pytest.raises(click.ClickException, match="workspace"):
-            _call_host_backend_with_optional_tenant(
-                client, lambda c: c.list_deployments()
-            )
-
-
-# ---------------------------------------------------------------------------
-# _Emitter JSON mode
-# ---------------------------------------------------------------------------
-
-
-class TestEmitterJsonMode:
-    """Verify that _Emitter in json_mode writes valid JSON-lines to stdout."""
-
-    def _capture(self, fn):
-        """Run fn with stdout captured and return parsed JSON objects."""
-        buf = io.StringIO()
-        old = sys.stdout
-        sys.stdout = buf
-        try:
-            fn()
-        finally:
-            sys.stdout = old
-        lines = [line for line in buf.getvalue().splitlines() if line.strip()]
-        return [json.loads(line) for line in lines]
-
-    def test_step_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.step(1, "Building image"))
-        assert len(events) == 1
-        assert events[0]["event"] == "step"
-        assert events[0]["step"] == 1
-        assert events[0]["message"] == "Building image"
-
-    def test_info_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.info("All good"))
-        assert events[0]["event"] == "info"
-        assert events[0]["message"] == "All good"
-
-    def test_warn_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.warn("Careful"))
-        assert events[0]["event"] == "warn"
-
-    def test_error_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.error("Boom"))
-        assert events[0]["event"] == "error"
-        assert events[0]["message"] == "Boom"
-
-    def test_status_change_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.status_change("building", 12.345))
-        assert events[0]["event"] == "status_change"
-        assert events[0]["status"] == "building"
-        assert events[0]["elapsed_seconds"] == 12.3
-        assert events[0]["message"] == "building... (12s)"
-
-    def test_status_change_event_with_minutes(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.status_change("deploying", 95.0))
-        assert events[0]["message"] == "deploying... (1m 35s)"
-
-    def test_log_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.log("some output"))
-        assert events[0] == {"event": "log", "message": "some output"}
-
-    def test_status_url_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(
-            lambda: em.status_url("https://smith.langchain.com/deploy/123")
-        )
-        assert events[0]["event"] == "status_url"
-        assert events[0]["url"] == "https://smith.langchain.com/deploy/123"
-
-    def test_result_event_full(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(
-            lambda: em.result(
-                "succeeded",
-                deployment_id="dep-1",
-                url="https://app.example.com",
-                status_url="https://smith.langchain.com/deploy/dep-1",
-            )
-        )
-        assert events[0]["event"] == "result"
-        assert events[0]["status"] == "succeeded"
-        assert events[0]["deployment_id"] == "dep-1"
-        assert events[0]["message"] == "Deployment successful!"
-        assert events[0]["url"] == "https://app.example.com"
-        assert events[0]["status_url"] == "https://smith.langchain.com/deploy/dep-1"
-
-    def test_result_event_minimal(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.result("failed", deployment_id="dep-2"))
-        assert events[0]["event"] == "result"
-        assert events[0]["status"] == "failed"
-        assert events[0]["message"] == "Deployment failed"
-        assert "url" not in events[0]
-        assert "status_url" not in events[0]
-
-    def test_heartbeat_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.heartbeat("building", 30.789))
-        assert events[0]["event"] == "heartbeat"
-        assert events[0]["elapsed_seconds"] == 30.8
-        assert events[0]["message"] == "building... (30s)"
-
-    def test_heartbeat_silent_in_text_mode(self, capsys):
-        em = _Emitter(json_mode=False)
-        em.heartbeat("building", 10.0)
-        captured = capsys.readouterr()
-        assert captured.out == ""
-
-    def test_upload_progress_event(self):
-        em = _Emitter(json_mode=True)
-        events = self._capture(lambda: em.upload_progress(5.678, 42))
-        assert events[0]["event"] == "upload_progress"
-        assert events[0]["size_mb"] == 5.7
-        assert events[0]["pct"] == 42
-
-
-# ---------------------------------------------------------------------------
-# _Emitter text mode (non-json)
-# ---------------------------------------------------------------------------
-
-
-class TestEmitterTextMode:
-    """Verify that _Emitter in text mode uses click.echo/click.secho."""
-
-    def test_step_writes_text(self, capsys):
-        em = _Emitter(json_mode=False)
-        em.step(1, "Hello")
-        captured = capsys.readouterr()
-        assert "1. Hello" in captured.out
-
-    def test_log_writes_text(self, capsys):
-        em = _Emitter(json_mode=False)
-        em.log("my line")
-        captured = capsys.readouterr()
-        assert "my line" in captured.out
-
-    def test_result_succeeded_text(self, capsys):
-        em = _Emitter(json_mode=False)
-        em.result("succeeded", deployment_id="d1", url="https://app.test")
-        captured = capsys.readouterr()
-        lines = [line.strip() for line in captured.out.splitlines() if line.strip()]
-        assert "Deployment successful!" in lines
-        assert "URL: https://app.test" in lines
-
-
-# ---------------------------------------------------------------------------
-# --no-input guard on _create_host_backend_client
-# ---------------------------------------------------------------------------
-
-
-class TestCreateHostBackendClientNoInput:
-    def test_raises_when_no_api_key_and_no_input(self, monkeypatch, tmp_path):
-        import langgraph_cli.deploy as deploy_mod
-
-        monkeypatch.setattr(deploy_mod, "_no_input", True)
-        monkeypatch.delenv("LANGSMITH_API_KEY", raising=False)
-        monkeypatch.delenv("LANGCHAIN_API_KEY", raising=False)
-        monkeypatch.delenv("LANGGRAPH_HOST_API_KEY", raising=False)
-
-        with pytest.raises(click.ClickException, match="API key"):
-            _create_host_backend_client(
-                host_url="https://api.example.com",
-                api_key=None,
-                env_vars={},
-            )
-
-    def test_succeeds_with_api_key_in_env(self, monkeypatch, tmp_path):
-        import langgraph_cli.deploy as deploy_mod
-
-        monkeypatch.setattr(deploy_mod, "_no_input", True)
-        monkeypatch.setenv("LANGSMITH_API_KEY", "lsv2_test")
-
-        client = _create_host_backend_client(
-            host_url="https://api.example.com",
-            api_key=None,
-            env_vars={},
-        )
-        assert client is not None
-
-
-class TestSmithDashboardBaseUrl:
-    def test_none_returns_default(self):
-        assert _smith_dashboard_base_url(None) == "https://smith.langchain.com"
-
-    def test_empty_returns_default(self):
-        assert _smith_dashboard_base_url("") == "https://smith.langchain.com"
-
-    def test_prod_host_url(self):
-        assert (
-            _smith_dashboard_base_url("https://api.host.langchain.com")
-            == "https://smith.langchain.com"
-        )
-
-    def test_dev_host_url(self):
-        assert (
-            _smith_dashboard_base_url("https://dev.api.host.langchain.com")
-            == "https://dev.smith.langchain.com"
-        )
-
-    def test_eu_host_url(self):
-        assert (
-            _smith_dashboard_base_url("https://eu.api.host.langchain.com")
-            == "https://eu.smith.langchain.com"
-        )
-
-    def test_staging_host_url(self):
-        assert (
-            _smith_dashboard_base_url("https://staging.api.host.langchain.com")
-            == "https://staging.smith.langchain.com"
-        )
-
-    def test_localhost(self):
-        assert (
-            _smith_dashboard_base_url("http://localhost:8080")
-            == "http://localhost:8080"
-        )
-
-    def test_localhost_trailing_slash(self):
-        assert (
-            _smith_dashboard_base_url("http://localhost:8080/")
-            == "http://localhost:8080"
-        )
-
-    def test_127_0_0_1(self):
-        assert (
-            _smith_dashboard_base_url("http://127.0.0.1:3000")
-            == "http://127.0.0.1:3000"
-        )
-
-    def test_unknown_domain_returns_default(self):
-        assert (
-            _smith_dashboard_base_url("https://custom.example.com")
-            == "https://smith.langchain.com"
-        )
@@ -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")
@@ -73,11 +68,7 @@ CONFIG_KEY_RESUME_MAP = sys.intern("__pregel_resume_map")
 # holds a mapping of task ns -> resume value for resuming tasks
 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`
+# flow through stream_mode="messages"; set by GraphStreamer only.

 # --- 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
@@ -1,5 +1,7 @@
 import asyncio
 import sys
+from collections.abc import Callable
+from contextvars import ContextVar
 from typing import Any

 from langchain_core.runnables import RunnableConfig
@@ -9,6 +11,18 @@ from langgraph.store.base import BaseStore
 from langgraph._internal._constants import CONF, CONFIG_KEY_RUNTIME
 from langgraph.types import StreamWriter

+_tool_call_writer: ContextVar[Callable[[Any], None] | 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.
+Defined here (rather than alongside the handler in `pregel/_tools.py`)
+so `emit_tool_output_delta` can import it without triggering the
+pregel import chain — user tool code does
+`from langgraph.config import emit_tool_output_delta` at import time.
+"""
+

 def _no_op_stream_writer(c: Any) -> None:
    pass
@@ -194,3 +208,30 @@ def get_stream_writer() -> StreamWriter:
    """
    runtime = get_config()[CONF][CONFIG_KEY_RUNTIME]
    return runtime.stream_writer
+
+
+def emit_tool_output_delta(delta: Any) -> None:
+    """Emit a `tool-output-delta` event onto the `tools` stream mode.
+
+    Must be called from inside a tool's execution scope (sync or async).
+    While a tool is running, `StreamToolCallHandler.on_tool_start` sets a
+    writer closure on a ContextVar keyed to that call's `tool_call_id`
+    and namespace; this helper reads the ContextVar and forwards `delta`
+    through it.
+
+    When called outside any tool call, or when the graph was not
+    streamed with `"tools"` in `stream_mode`, this is a silent no-op —
+    tool authors can leave `emit_tool_output_delta` calls in place
+    without gating them on stream mode.
+
+    Args:
+        delta: The partial output chunk to stream. Shape is up to the
+            caller — strings are the common case, but any JSON-
+            serializable value is accepted and surfaced as-is on the
+            `tools` channel's `tool-output-delta` payload under
+            `"delta"`.
+    """
+    writer = _tool_call_writer.get()
+    if writer is None:
+        return
+    writer(delta)
@@ -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(
@@ -34,25 +24,6 @@ def empty_checkpoint() -> Checkpoint:
    )


-def delta_channels_to_snapshot(
-    channels: Mapping[str, BaseChannel],
-    counts: Mapping[str, int],
-) -> set[str]:
-    """Return the set of DeltaChannel names that should snapshot now.
-
-    A channel snapshots when its accumulated update count (since the last
-    snapshot) reaches or exceeds `snapshot_frequency`. This is a pure
-    predicate — no mutation.
-    """
-    return {
-        name
-        for name, ch in channels.items()
-        if isinstance(ch, DeltaChannel)
-        and ch.is_available()
-        and counts.get(name, 0) >= ch.snapshot_frequency
-    }
-
-
 def create_checkpoint(
    checkpoint: Checkpoint,
    channels: Mapping[str, BaseChannel] | None,
@@ -60,91 +31,35 @@ def create_checkpoint(
    *,
    id: str | None = None,
    updated_channels: set[str] | None = None,
-    get_next_version: GetNextVersion | None = None,
-    channels_to_snapshot: set[str] | None = None,
 ) -> Checkpoint:
-    """Build a new Checkpoint from the previous one and live channel state.
-
-    For each name in `channels_to_snapshot`, a `_DeltaSnapshot(value)` blob
-    is written into `channel_values[k]`. Other delta channels are omitted
-    from `channel_values` — the ancestor walk reconstructs their state
-    from `checkpoint_writes`. Callers compute the set via
-    `delta_channels_to_snapshot(channels, counts)`; defaults to empty
-    (no snapshots) when not provided.
-    """
+    """Create a checkpoint for the given channels."""
    ts = datetime.now(timezone.utc).isoformat()
-    channels_to_snapshot = channels_to_snapshot or set()
    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 k in channels_to_snapshot:
-                # In exit mode, the snapshot decision is deferred to exit
-                # time (intermediate steps have do_checkpoint=False). The
-                # channel's count may have reached snapshot_frequency over
-                # several supersteps, but the LAST superstep may not have
-                # written to this channel. In that case apply_writes()
-                # (in _algo.py) didn't bump this channel's version, so
-                # saver.put() wouldn't include it in new_versions and
-                # the snapshot blob would be silently dropped. The manual
-                # bump below closes the gap. In sync/async durability this
-                # branch is effectively dead code (the step that pushes
-                # the count to freq always writes the channel).
-                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())
-            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():
@@ -152,73 +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:
@@ -231,17 +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 {})
@@ -0,0 +1,291 @@
+from __future__ import annotations
+
+from collections.abc import AsyncIterator, Callable, Iterator
+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.errors import GraphInterrupt
+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")
+
+
+_LANGGRAPH_SENTINEL_NODES = frozenset({"__start__", "__end__"})
+
+
+def _is_nested_pregel_start(
+    name: str | None,
+    metadata: dict[str, Any] | None,
+    parent_run_id: UUID | None,
+    task_run_ids: set[UUID],
+) -> bool:
+    """Recognize a nested `Pregel` invocation from its `on_chain_start` metadata.
+
+    When a compiled graph is added as a node, pregel fires two
+    `on_chain_start` callbacks at that task: first for the node chain
+    (whose `name` matches `metadata["langgraph_node"]`) and second for
+    the inner `Pregel` chain (whose `name` is the graph's `name`, not
+    the node name). Both share the same `langgraph_checkpoint_ns`.
+
+    Primary signal: a `langgraph_checkpoint_ns` is set AND `name`
+    differs from the owning task's `langgraph_node`. This covers the
+    common case where the compiled subgraph's name differs from the
+    node name it was registered under.
+
+    Fallback for name collisions (subgraph compiled with
+    `name == node_name`): the inner `Pregel` start's `parent_run_id`
+    is the run_id of the node chain's start event, which the handler
+    records in `task_run_ids` on the first start. Matching
+    `parent_run_id` to that set identifies the second start as the
+    nested `Pregel` even when names coincide.
+
+    Regular node chains are skipped; the root `Pregel` (which has no
+    `langgraph_node` metadata) isn't observed by this handler because
+    the root's start fires before the handler is attached.
+
+    Metadata-based detection is used because `on_chain_start`'s
+    `serialized` argument is `None` for compiled graphs in this
+    version of langchain-core, so class-based detection via
+    `serialized["id"]` isn't available.
+
+    Sentinel nodes (`__start__` / `__end__`) are excluded: conditional
+    edges from `START` fire an `on_chain_start` with `lg_node=__start__`
+    and the router function's name as `name`, which would otherwise
+    match the discriminator without representing an actual nested
+    `Pregel`.
+
+    Args:
+        name: The `name` kwarg from `on_chain_start`.
+        metadata: The `metadata` kwarg from `on_chain_start`.
+        parent_run_id: The `parent_run_id` kwarg from `on_chain_start`.
+        task_run_ids: The set of run_ids the handler has already seen
+            as node-chain starts (i.e. `name == langgraph_node`).
+    """
+    if not metadata:
+        return False
+    if not metadata.get("langgraph_checkpoint_ns"):
+        return False
+    lg_node = metadata.get("langgraph_node")
+    if lg_node is None or lg_node in _LANGGRAPH_SENTINEL_NODES:
+        return False
+    if name != lg_node:
+        return True
+    # Name collision fallback: the inner Pregel's parent_run_id is
+    # the node chain's run_id, which we recorded when that node
+    # chain's start fired.
+    return parent_run_id is not None and parent_run_id in task_run_ids
+
+
+class StreamLifecycleHandler(BaseCallbackHandler, _StreamingCallbackHandler):
+    """Callback handler that emits subgraph lifecycle events on the stream.
+
+    Pushes `LifecycleData`-shaped payloads onto the pregel stream under
+    the `"lifecycle"` mode, keyed by the subgraph's namespace tuple.
+    Drives the `started` → `running` → `completed` / `failed` /
+    `interrupted` state machine.
+
+    The handler is attached to `run_manager.inheritable_handlers` inside
+    a `Pregel.stream` / `astream` call, so it sees callbacks for every
+    descendant chain (nodes, nested `Pregel` subgraphs) but *not* for
+    the root `Pregel` whose start event has already fired. The root's
+    `started` event is emitted eagerly at construction; its terminal
+    state is emitted by `SubgraphTransformer.finalize` / `fail`.
+
+    `run_inline = True` keeps event ordering deterministic.
+    """
+
+    run_inline = True
+
+    def __init__(
+        self,
+        stream: Callable[[StreamChunk], None],
+        *,
+        root_graph_name: str | None = None,
+    ) -> None:
+        """Initialize the handler and emit the root graph's `started` event.
+
+        Args:
+            stream: Callable that accepts a `StreamChunk` tuple
+                `(namespace, mode, payload)` and enqueues it.
+            root_graph_name: The root `Pregel` instance's `name`, emitted
+                with the root's `started` lifecycle payload.
+        """
+        self.stream = stream
+        # Namespaces awaiting the started→running transition.
+        self._pending_running: set[tuple[str, ...]] = set()
+        # run_id → subgraph namespace; populated only for Pregel chains.
+        self._run_to_ns: dict[UUID, tuple[str, ...]] = {}
+        # run_ids of node-chain starts (name == langgraph_node); used
+        # as the parent_run_id fallback when a subgraph's name equals
+        # its node name. Cleared as each chain ends.
+        self._task_run_ids: set[UUID] = set()
+
+        root_payload: dict[str, Any] = {"event": "started"}
+        if root_graph_name is not None:
+            root_payload["graph_name"] = root_graph_name
+        self.stream(((), "lifecycle", root_payload))
+        self._pending_running.add(())
+
+    @staticmethod
+    def _subgraph_ns_from_metadata(metadata: dict[str, Any] | None) -> tuple[str, ...]:
+        """Return the running subgraph's own namespace from task metadata.
+
+        For a nested `Pregel` invoked as a node, `langgraph_checkpoint_ns`
+        ends at the node segment (no inner task appended yet), so
+        splitting on `NS_SEP` gives the subgraph's own namespace.
+        """
+        if not metadata:
+            return ()
+        nskey = metadata.get("langgraph_checkpoint_ns")
+        if not nskey:
+            return ()
+        return tuple(cast(str, nskey).split(NS_SEP))
+
+    @staticmethod
+    def _containing_ns_from_metadata(
+        metadata: dict[str, Any] | None,
+    ) -> tuple[str, ...]:
+        """Return the namespace of the subgraph that contains this task.
+
+        For an inner task with `langgraph_checkpoint_ns`
+        `"seg_a|seg_b"`, the containing subgraph is `("seg_a",)`.
+        """
+        if not metadata:
+            return ()
+        nskey = metadata.get("langgraph_checkpoint_ns")
+        if not nskey:
+            return ()
+        return tuple(cast(str, nskey).split(NS_SEP))[:-1]
+
+    @staticmethod
+    def _trigger_call_id(metadata: dict[str, Any] | None) -> str | None:
+        """Extract `trigger_call_id` from task metadata if present.
+
+        The task that spawned a nested `Pregel` has its task id encoded
+        in `langgraph_checkpoint_ns`'s last segment as
+        `node_name:task_id`. Returns the `task_id` portion, which
+        parents can correlate with their `tools` / `tasks` events.
+        """
+        if not metadata:
+            return None
+        nskey = cast(str | None, metadata.get("langgraph_checkpoint_ns"))
+        if not nskey:
+            return None
+        last = nskey.split(NS_SEP)[-1]
+        _, sep, task_id = last.rpartition(":")
+        return task_id if sep else None
+
+    def _emit(self, ns: tuple[str, ...], payload: dict[str, Any]) -> None:
+        self.stream((ns, "lifecycle", payload))
+
+    def tap_output_aiter(
+        self, run_id: UUID, output: AsyncIterator[T]
+    ) -> AsyncIterator[T]:
+        """Pass-through — required by the `_StreamingCallbackHandler` protocol.
+
+        Returns the iterator unchanged. A missing implementation lets
+        langchain's default `Protocol` body return `None`, which breaks
+        the `_consume_aiter` code path in `_runnable.py:900`.
+        """
+        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
+
+    def _fire_running_if_pending(self, ns: tuple[str, ...]) -> None:
+        if ns in self._pending_running:
+            self._pending_running.discard(ns)
+            self._emit(ns, {"event": "running"})
+
+    def on_chain_start(
+        self,
+        serialized: dict[str, Any],
+        inputs: dict[str, Any],
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        # Any descendant activity transitions the containing subgraph to running.
+        containing = self._containing_ns_from_metadata(metadata)
+        self._fire_running_if_pending(containing)
+
+        name = cast(str | None, kwargs.get("name"))
+        lg_node = (metadata or {}).get("langgraph_node")
+
+        # Record node-chain starts so the name-collision fallback in
+        # `_is_nested_pregel_start` can match the inner Pregel's
+        # parent_run_id to them.
+        if (
+            lg_node is not None
+            and lg_node not in _LANGGRAPH_SENTINEL_NODES
+            and name == lg_node
+        ):
+            self._task_run_ids.add(run_id)
+
+        if not _is_nested_pregel_start(
+            name, metadata, parent_run_id, self._task_run_ids
+        ):
+            return
+
+        ns = self._subgraph_ns_from_metadata(metadata)
+        if not ns:
+            return
+
+        self._run_to_ns[run_id] = ns
+        payload: dict[str, Any] = {"event": "started"}
+        if name:
+            payload["graph_name"] = name
+        trigger_call_id = self._trigger_call_id(metadata)
+        if trigger_call_id:
+            payload["trigger_call_id"] = trigger_call_id
+        self._emit(ns, payload)
+        self._pending_running.add(ns)
+
+    def on_chain_end(
+        self,
+        response: Any,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        self._task_run_ids.discard(run_id)
+        ns = self._run_to_ns.pop(run_id, None)
+        if ns is None:
+            return
+        # Ensure started→running fired even for empty subgraphs.
+        if ns in self._pending_running:
+            self._pending_running.discard(ns)
+            self._emit(ns, {"event": "running"})
+        self._emit(ns, {"event": "completed"})
+
+    def on_chain_error(
+        self,
+        error: BaseException,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        self._task_run_ids.discard(run_id)
+        ns = self._run_to_ns.pop(run_id, None)
+        if ns is None:
+            return
+        self._pending_running.discard(ns)
+        if isinstance(error, GraphInterrupt):
+            self._emit(ns, {"event": "interrupted"})
+        else:
+            self._emit(ns, {"event": "failed", "error": str(error)})
@@ -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 (
@@ -89,18 +86,15 @@ 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,
-    delta_channels_to_snapshot,
    empty_checkpoint,
 )
 from langgraph.pregel._executor import (
@@ -123,7 +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,
@@ -195,40 +188,6 @@ class PregelLoop:
    _migrate_checkpoint: Callable[[Checkpoint], None] | None
    submit: Submit
    channels: Mapping[str, BaseChannel]
-    # Futures from `checkpointer.put_writes` calls that produced delta-channel
-    # writes. `_checkpointer_put_after_previous` drains this list (swap to a
-    # local `futs` then reset to `[]` and wait/gather) before putting the
-    # next checkpoint, so a checkpoint never becomes durable before the
-    # writes that produced it. Initialised to `[]` in both sync and async
-    # `__enter__`; stays `None` only when no checkpointer.
-    _delta_write_futs: list[Any] | None = None
-
-    # Exit-mode accumulator: every delta-channel write produced during this
-    # run (input writes from `_first` + per-superstep writes captured in
-    # `after_tick`). At exit, `_put_exit_delta_writes` filters out channels
-    # that will snapshot, then persists the rest under an anchor parent.
-    # `None` when not in exit mode (so the capture sites are no-ops).
-    # Each tuple is `(step, task_id, channel, value)` — `step` drives the
-    # synthetic step-prefixed task_id used to preserve chronological order
-    # under the saver's `ORDER BY task_id, idx` sorting.
-    _exit_delta_writes: list[tuple[int, str, str, Any]] | None = None
-
-    # The checkpoint_config that points at the parent loaded at `__enter__`
-    # (or the synthetic-empty checkpoint, on first run). We capture it
-    # eagerly because every `_put_checkpoint` advances `self.checkpoint_config`
-    # to the newly-saved checkpoint's id — by exit time the original parent
-    # config would otherwise be lost. `_put_exit_delta_writes` uses this:
-    # on resumed runs as the anchor for exit delta writes; on first runs
-    # to derive the lazy stub's config (its `checkpoint_id` is the
-    # synthetic-empty id we want the stub persisted under).
-    _initial_checkpoint_config: RunnableConfig
-
-    # True iff the saver actually returned a tuple at `__enter__`. False
-    # on the first-ever run for a thread (no parent persisted yet).
-    # `_put_exit_delta_writes` uses this to decide between anchoring on
-    # the existing parent (True) or creating a lazy stub (False).
-    _has_persisted_parent: bool = False
-
    managed: ManagedValueMapping
    checkpoint: Checkpoint
    checkpoint_id_saved: str
@@ -243,12 +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
@@ -356,8 +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,
@@ -365,16 +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,
                )
@@ -383,7 +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,
@@ -456,7 +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,
@@ -464,16 +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)
@@ -557,16 +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.

@@ -625,10 +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)
@@ -670,11 +602,6 @@ class PregelLoop:
            self._emit(
                "values", map_output_values, self.output_keys, writes, self.channels
            )
-        # capture delta-channel writes for exit-mode accumulator before clearing
-        if self._exit_delta_writes is not None:
-            for tid, ch, v in self.checkpoint_pending_writes:
-                if isinstance(self.specs.get(ch), DeltaChannel):
-                    self._exit_delta_writes.append((self.step, tid, ch, v))
        # clear pending writes
        self.checkpoint_pending_writes.clear()
        # only replay (re-execute) done tasks on the first tick
@@ -700,7 +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))
@@ -765,7 +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.
@@ -783,8 +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
            ]
@@ -839,26 +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
@@ -892,27 +798,6 @@ class PregelLoop:
                self.checkpointer_get_next_version,
                self.trigger_to_nodes,
            )
-            # Input writes go through `apply_writes` directly (above) — they
-            # never enter `checkpoint_pending_writes`, so the after_tick
-            # capture site does not see them. In exit mode, capture them
-            # here so `_exit_delta_writes` includes the input's delta writes
-            # alongside per-superstep writes; otherwise the input would be
-            # lost on read (it's not in final_checkpoint.channel_values for
-            # sub-freq channels, and walks ignore target.pending_writes).
-            if self._exit_delta_writes is not None:
-                for c, v in input_writes:
-                    if isinstance(self.specs.get(c), DeltaChannel):
-                        self._exit_delta_writes.append((self.step, NULL_TASK_ID, c, v))
-            # Persist delta-channel input writes so sub-freq inputs are
-            # recoverable via ancestor walk (mirrors the Command input path).
-            if self.durability != "exit":
-                delta_input = [
-                    (c, v)
-                    for c, v in input_writes
-                    if isinstance(self.specs.get(c), DeltaChannel)
-                ]
-                if delta_input:
-                    self.put_writes(NULL_TASK_ID, delta_input)
            # save input checkpoint
            self.updated_channels = updated_channels
            self._put_checkpoint({"source": "input"})
@@ -922,28 +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(
@@ -964,77 +835,27 @@ class PregelLoop:
        return updated_channels

    def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
-        # `is` (object identity) — not `==`. Three of four call sites pass a
-        # fresh dict ({"source":"input"|"loop"|"fork"}); only
-        # `_suppress_interrupt`(will rename to _on_loop_exit soon)
-        # at exit reuses the existing `self.checkpoint_metadata` instance. So
-        # `metadata is self.checkpoint_metadata` is True only on the exit call,
-        # which is what we use to gate exit-only behaviour (skip count-bump,
-        # don't replace metadata). Could be replaced by an explicit
-        # `exiting: bool = False` parameter; left as-is to match the existing
-        # idiom in this file.
-        # TODO: replace with an explicit `exiting: bool = False` parameter.
+        # assign step and parents
        exiting = metadata is self.checkpoint_metadata
        if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
            # checkpoint already saved
            return
-        # Per-delta-channel update bookkeeping.
-        #
-        # `_put_checkpoint` is called once per superstep with a fresh
-        # metadata dict (source="input"|"loop"|"fork") — those are the
-        # intermediate calls that bump the count by +1 for each delta
-        # channel touched that step. In exit mode,
-        # `_suppress_interrupt`(will rename to _on_loop_exit soon)
-        # additionally calls `_put_checkpoint(self.checkpoint_metadata)` AT
-        # EXIT to commit the final checkpoint — this runs *after* the last
-        # intermediate call already counted the last superstep. So the
-        # exit call must NOT bump again or it would double-count the last
-        # superstep. (Sync/async durability does not call `_put_checkpoint`
-        # at exit, so the issue only surfaces in exit mode. force_delta_snapshot
-        # used to mask this latent bug by resetting every count to 0.)
        if not exiting:
-            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:
-                    if isinstance(self.channels.get(ch_name), DeltaChannel):
-                        new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
            metadata["step"] = self.step
            metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
            self.checkpoint_metadata = metadata
-        else:
-            new_counts = dict(
-                self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
-            )
        # do checkpoint?
        do_checkpoint = self._checkpointer_put_after_previous is not None and (
            exiting or self.durability != "exit"
        )
        # create new checkpoint
-        channels_to_snapshot = (
-            delta_channels_to_snapshot(self.channels, new_counts)
-            if do_checkpoint
-            else set()
-        )
        self.checkpoint = create_checkpoint(
            self.checkpoint,
            self.channels if do_checkpoint else None,
            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,
-            channels_to_snapshot=channels_to_snapshot,
        )
-        for k in channels_to_snapshot:
-            new_counts[k] = 0
-        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()
@@ -1093,97 +914,6 @@ class PregelLoop:
            # increment step
            self.step += 1

-    def _put_exit_delta_writes(self) -> None:
-        """Stage stub + accumulated delta writes so final_checkpoint's put
-        waits on them (visibility invariant: both must be durable before
-        final_checkpoint becomes visible to readers).
-
-        Stub is created lazily — only when no persisted parent exists AND at
-        least one delta channel has writes that won't be snapshotted.
-        """
-        if (
-            not self._exit_delta_writes
-            or self.checkpointer is None
-            or self._checkpointer_put_after_previous is None
-            or self.checkpointer_put_writes is None
-        ):
-            return
-
-        counts = self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
-        channels_to_snapshot = delta_channels_to_snapshot(self.channels, counts)
-
-        pending = [
-            (step, tid, ch, v)
-            for (step, tid, ch, v) in self._exit_delta_writes
-            if ch not in channels_to_snapshot
-        ]
-        if not pending:
-            return
-
-        if self._has_persisted_parent:
-            # _initial_checkpoint_config's checkpoint_id is the saved parent's
-            # id (saver returned a real tuple at __enter__).
-            anchor_config = self._initial_checkpoint_config
-        else:
-            stub_cp = empty_checkpoint()
-            stub_cp["id"] = self.checkpoint_id_saved
-            stub_cp["ts"] = datetime.now(timezone.utc).isoformat()
-            # Stub has no parent (checkpoint_id=None in config).
-            stub_put_config = patch_configurable(
-                self._initial_checkpoint_config,
-                {CONFIG_KEY_CHECKPOINT_ID: None},
-            )
-            # Anchor config for put_writes: checkpoint_id = stub's id.
-            anchor_config = patch_configurable(
-                self._initial_checkpoint_config,
-                {CONFIG_KEY_CHECKPOINT_ID: stub_cp["id"]},
-            )
-            self._put_checkpoint_fut = self.submit(
-                self._checkpointer_put_after_previous,
-                getattr(self, "_put_checkpoint_fut", None),
-                stub_put_config,
-                stub_cp,
-                {"step": -2},
-                {},
-            )
-            # Set checkpoint_config so final_checkpoint's _put_checkpoint
-            # sees the stub as its parent.
-            self.checkpoint_config = anchor_config
-
-        # Step-prefixed synthetic task_id preserves chronological superstep
-        # order under the saver's ORDER BY task_id, idx sorting.
-        grouped: dict[tuple[int, str], list[tuple[str, Any]]] = {}
-        for step, tid, ch, v in pending:
-            grouped.setdefault((step, tid), []).append((ch, v))
-        anchor_write_config = patch_configurable(
-            anchor_config,
-            {
-                CONFIG_KEY_CHECKPOINT_NS: self.config[CONF].get(
-                    CONFIG_KEY_CHECKPOINT_NS, ""
-                ),
-                CONFIG_KEY_CHECKPOINT_ID: anchor_config[CONF][CONFIG_KEY_CHECKPOINT_ID],
-            },
-        )
-        for (step, tid), entries in grouped.items():
-            synth_tid = f"{step:08d}-{tid}"
-            if self.checkpointer_put_writes_accepts_task_path:
-                fut = self.submit(
-                    self.checkpointer_put_writes,
-                    anchor_write_config,
-                    entries,
-                    synth_tid,
-                    "",
-                )
-            else:
-                fut = self.submit(
-                    self.checkpointer_put_writes,
-                    anchor_write_config,
-                    entries,
-                    synth_tid,
-                )
-            if self._delta_write_futs is not None:
-                self._delta_write_futs.append(fut)
-
    def _suppress_interrupt(
        self,
        exc_type: type[BaseException] | None,
@@ -1199,7 +929,6 @@ class PregelLoop:
            # or a nested graph with checkpointer=True
            or all(NS_END not in part for part in self.checkpoint_ns)
        ):
-            self._put_exit_delta_writes()
            self._put_checkpoint(self.checkpoint_metadata)
            self._put_pending_writes()
        # suppress interrupt
@@ -1405,9 +1134,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
        metadata: CheckpointMetadata,
        new_versions: ChannelVersions,
    ) -> RunnableConfig:
-        if self._delta_write_futs:
-            futs, self._delta_write_futs = self._delta_write_futs, []
-            concurrent.futures.wait(futs)
        try:
            if prev is not None:
                prev.result()
@@ -1439,45 +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)
@@ -1525,10 +1212,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
            # graph/thread. Returns None on first invocation.
            saved = self.checkpointer.get_tuple(self.checkpoint_config)

-        # Capture before the synthetic-empty fallback below overwrites `saved`.
-        # `_put_exit_delta_writes` uses this on first run (no persisted parent)
-        # to lazy-create a stub instead of anchoring delta writes on a parent.
-        self._has_persisted_parent = saved is not None
        if saved is None:
            saved = CheckpointTuple(
                self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1544,7 +1227,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
                **saved.config.get(CONF, {}),
            },
        }
-        self._initial_checkpoint_config = self.checkpoint_config
        self.prev_checkpoint_config = saved.parent_config
        self.checkpoint_id_saved = saved.checkpoint["id"]
        self.checkpoint = saved.checkpoint
@@ -1554,16 +1236,9 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
            if saved.pending_writes is not None
            else []
        )
-        self._delta_write_futs = []
-        self._exit_delta_writes = (
-            [] if self.durability == "exit" and self.checkpointer is not None else None
-        )
        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"
@@ -1658,11 +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
@@ -1694,45 +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)
@@ -1783,10 +1414,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            # graph/thread. Returns None on first invocation.
            saved = await self.checkpointer.aget_tuple(self.checkpoint_config)

-        # Capture before the synthetic-empty fallback below overwrites `saved`.
-        # `_put_exit_delta_writes` uses this on first run (no persisted parent)
-        # to lazy-create a stub instead of anchoring delta writes on a parent.
-        self._has_persisted_parent = saved is not None
        if saved is None:
            saved = CheckpointTuple(
                self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1802,7 +1429,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
                **saved.config.get(CONF, {}),
            },
        }
-        self._initial_checkpoint_config = self.checkpoint_config
        self.prev_checkpoint_config = saved.parent_config
        self.checkpoint_id_saved = saved.checkpoint["id"]
        self.checkpoint = saved.checkpoint
@@ -1812,18 +1438,11 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            if saved.pending_writes is not None
            else []
        )
-        self._delta_write_futs = []
-        self._exit_delta_writes = (
-            [] if self.durability == "exit" and self.checkpointer is not None else None
-        )
        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,
@@ -265,7 +273,7 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
    which forwards protocol events onto the messages stream channel.

    Pregel attaches this class instead of the v1 handler only when
-    `StreamingHandler` opts in via the internal
+    `GraphStreamer` opts in via the internal
    `CONFIG_KEY_STREAM_MESSAGES_V2` config key; direct
    `graph.stream(stream_mode="messages")` callers keep the v1
    AIMessageChunk shape.
@@ -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(
@@ -1,14 +1,14 @@
 from __future__ import annotations

 from collections.abc import AsyncIterator, Callable, Iterator
-from contextvars import ContextVar, Token
+from contextvars import 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.config import _tool_call_writer
 from langgraph.pregel.protocol import StreamChunk

 try:
@@ -22,15 +22,6 @@ 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.
@@ -40,10 +31,10 @@ class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
    `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.
+    closure bound to that call's namespace and `tool_call_id`. The
+    `emit_tool_output_delta` helper in `langgraph.config` 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
@@ -52,31 +43,14 @@ class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):

    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.
+    def __init__(self, stream: Callable[[StreamChunk], None]) -> None:
+        """Initialize the handler.

        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.
@@ -84,39 +58,24 @@ class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
            UUID, tuple[tuple[str, ...], str, Token[ToolCallWriter | None]]
        ] = {}

-    def _ns_for_emit(
-        self,
+    @staticmethod
+    def _containing_ns_from_metadata(
        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.
+    ) -> tuple[str, ...]:
+        """Return the namespace of the subgraph that contains this tool call.

-        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.
+        `langgraph_checkpoint_ns` on a tool's callback metadata ends with
+        the `node_name:task_id` segment of the node that invoked the
+        tool. Dropping that segment gives the subgraph's own namespace,
+        which matches what other `tools` / `lifecycle` / `messages`
+        emitters use.
        """
        if not metadata:
-            return None
-        if tags and TAG_NOSTREAM in tags:
-            return None
+            return ()
        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
+            return ()
+        return tuple(cast(str, nskey).split(NS_SEP))[:-1]

    def _start(
        self,
@@ -125,19 +84,16 @@ class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
        *,
        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 ""
        )
+        ns = self._containing_ns_from_metadata(metadata)

        def writer(delta: Any) -> None:
            self.stream(
@@ -242,7 +198,6 @@ class StreamToolCallHandler(BaseCallbackHandler, _StreamingCallbackHandler):
            input_str,
            run_id=run_id,
            metadata=metadata,
-            tags=tags,
            inputs=inputs,
            kwargs=kwargs,
        )
@@ -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.

@@ -650,22 +650,46 @@ class RemoteGraph(PregelProtocol):
        """
        updated_stream_modes: list[StreamModeSDK] = []
        req_single = True
+        # `"lifecycle"` is emitted locally by the `StreamLifecycleHandler`
+        # attached inside `Pregel.stream` / `astream`. The remote graph
+        # API has no corresponding mode, so requests for it against a
+        # `RemoteGraph` are silently stripped here and a warning is
+        # logged so the caller isn't left wondering why no lifecycle
+        # events arrive.
+        dropped_lifecycle = False
        # coerce to list, or add default stream mode
        if stream_mode:
            if isinstance(stream_mode, str):
-                updated_stream_modes.append(stream_mode)
+                if stream_mode != "lifecycle":
+                    updated_stream_modes.append(cast(StreamModeSDK, stream_mode))
+                else:
+                    dropped_lifecycle = True
            else:
                req_single = False
-                updated_stream_modes.extend(stream_mode)
+                for m in stream_mode:
+                    if m == "lifecycle":
+                        dropped_lifecycle = True
+                    else:
+                        updated_stream_modes.append(cast(StreamModeSDK, m))
        else:
-            updated_stream_modes.append(default)
+            updated_stream_modes.append(default)  # type: ignore[arg-type]
        requested_stream_modes = updated_stream_modes.copy()
        # add any from parent graph
        stream: StreamProtocol | None = (
            (config or {}).get(CONF, {}).get(CONFIG_KEY_STREAM)
        )
        if stream:
-            updated_stream_modes.extend(stream.modes)
+            for m in stream.modes:
+                if m == "lifecycle":
+                    dropped_lifecycle = True
+                else:
+                    updated_stream_modes.append(cast(StreamModeSDK, m))
+        if dropped_lifecycle:
+            logger.warning(
+                "Stream mode 'lifecycle' is not supported by RemoteGraph "
+                "and was stripped from the request; no lifecycle events "
+                "will be emitted for this remote run."
+            )
        # 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 +1,306 @@
+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) -> 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.
+
+        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.
+        self._subscribed = False
+
+        # 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.
+
+        Raises:
+            RuntimeError: If the log is closed (and subscribed).
+        """
+        if not self._subscribed:
+            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 +53,114 @@ 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,
+        )
+        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 +170,24 @@ 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 "
@@ -229,56 +210,68 @@ 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)
+        self._bind_and_wire(projection)
        self.extensions.update(projection)
        owner_name = type(transformer).__name__
        for key in projection:
            self._projection_owners[key] = owner_name
            self._transformer_by_key[key] = transformer
-        if is_native:
+        if getattr(transformer, "_native", False):
            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 +284,12 @@ 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 +297,11 @@ 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 +311,12 @@ 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 +327,32 @@ 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 +360,7 @@ 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 +392,12 @@ 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 +407,7 @@ 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 +423,12 @@ 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)

@@ -436,63 +445,43 @@ class StreamMux:
    # Binding and StreamChannel auto-wiring
    # ------------------------------------------------------------------

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

-                        return _forward
+                    return _forward

-                    value._wire(_make_forward(method))
+                value._wire(_make_forward(channel_name))
+            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) -> 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.
-
-        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.
+        visible in the main event log but are not passed through
+        transformers' `process()` methods.
        """
+        self._seq += 1
        event: ProtocolEvent = {
            "type": "event",
-            "method": method,
+            "seq": self._seq,
+            "method": f"custom:{channel_name}",
            "params": {
                "namespace": [],
                "timestamp": int(time.time() * 1000),
                "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:

@@ -75,26 +76,34 @@ 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).
+            which modes a `GraphStreamer` 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
+    scope_exact: ClassVar[bool] = True
    required_stream_modes: ClassVar[tuple[str, ...]] = ()

    def __init__(self, scope: tuple[str, ...] = ()) -> None:
@@ -102,8 +111,9 @@ class StreamTransformer(ABC):

        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 +130,6 @@ 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 +171,15 @@ 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 +189,8 @@ 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 +293,7 @@ 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 +303,6 @@ 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 +25,117 @@ 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` backing `output` / `interrupted`.
+
+        Resolved lazily off the mux so subclasses don't have to thread
+        it through their constructors. Raises if no `ValuesTransformer`
+        is registered — `output` / `interrupted` / `interrupts` have
+        nothing to return in that case, so failing loudly is better
+        than returning `None` silently.
+        """
+        from langgraph.stream.transformers import ValuesTransformer
+
+        vt = self._mux.transformer_by_key("values")
+        if not isinstance(vt, ValuesTransformer):
+            raise RuntimeError(
+                "No ValuesTransformer is registered on this mux — "
+                "`output`, `interrupted`, and `interrupts` require one. "
+                "Add it to your GraphStreamer subclass's "
+                "`builtin_factories` or pass it via `transformers=`."
+            )
+        return vt
+
+    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 +144,38 @@ 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 under the
+                `"values"` key — `output` / `interrupted` / `interrupts`
+                read from it lazily.
        """
+        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 +184,8 @@ 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 +217,23 @@ 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:
-            raise err
-        return self._latest
+        vt = self._values_transformer
+        if vt.error is not None:
+            raise vt.error
+        return vt._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:
-            raise err
-        return self._interrupted
+        vt = self._values_transformer
+        if vt.error is not None:
+            raise vt.error
+        return vt._interrupted

    @property
    def interrupts(self) -> list[Any]:
@@ -184,122 +243,22 @@ 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:
-            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
+        vt = self._values_transformer
+        if vt.error is not None:
+            raise vt.error
+        return vt._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 +271,27 @@ 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 under the
+                `"values"` key — `output` / `interrupted` / `interrupts`
+                read from it lazily.
        """
+        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 +315,7 @@ 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 +326,6 @@ 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 +334,8 @@ 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 +385,20 @@ 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 +407,6 @@ 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 +1,109 @@
 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) -> 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.
        """
-        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)
        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 +116,15 @@ def ensure_valid_checkpointer(checkpointer: Checkpointer) -> Checkpointer:


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

@@ -131,6 +137,8 @@ StreamMode = Literal[
 - `"checkpoints"`: Emit an event when a checkpoint is created, in the same format as returned by `get_state()`.
 - `"tasks"`: Emit events when tasks start and finish, including their results and errors.
 - `"debug"`: Emit `"checkpoints"` and `"tasks"` events for debugging purposes.
+- `"lifecycle"`: Emit subgraph lifecycle events (`started`, `running`, `completed`, `failed`, `interrupted`) with payloads matching `LifecycleData`.
+- `"tools"`: Emit tool-call lifecycle events (`tool-started`, `tool-output-delta`, `tool-finished`, `tool-error`) keyed by `tool_call_id`.
 """

 StreamWriter = Callable[[Any], None]
@@ -425,83 +433,6 @@ 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 +558,6 @@ class PregelExecutableTask:
    path: tuple[str | int | tuple, ...]
    writers: Sequence[Runnable] = ()
    subgraphs: Sequence[PregelProtocol] = ()
-    timeout: TimeoutPolicy | None = None


 class StateSnapshot(NamedTuple):
@@ -667,8 +597,6 @@ 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 +626,33 @@ 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==1.3.0a2",
+    "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)
--- a/Show More
+++ b/Show More