Remove StreamChannel close/fail no-ops and channel tracking from mux

use Google-style Args: in convert docstring
clean up streamV2 infrastructure
2026-08-28 10:49:56 +02:00 · 2026-04-14 16:55:37 -04:00 · 2026-04-14 16:48:12 -04:00 · 2026-04-14 16:46:19 -04:00 · 2026-04-14 15:20:03 -04:00
138 changed files with 7544 additions and 24064 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>
@@ -250,15 +250,15 @@ wheels = [

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

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

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.7.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -319,9 +319,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/8d/bc/8172fefad4f2da888a6d564a27d1fb7d4dbf3c640899c2b40c46235cbe98/langsmith-0.7.3.tar.gz", hash = "sha256:0223b97021af62d2cf53c8a378a27bd22e90a7327e45b353e0069ae60d5d6f9e", size = 988575, upload-time = "2026-02-13T23:25:32.916Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/f4/9d/5a68b6b5e313ffabbb9725d18a71edb48177fd6d3ad329c07801d2a8e862/langsmith-0.7.3-py3-none-any.whl", hash = "sha256:03659bf9274e6efcead361c9c31a7849ea565ae0d6c0d73e1d8b239029eff3be", size = 325718, upload-time = "2026-02-13T23:25:31.52Z" },
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 [[package]]
@@ -623,7 +623,7 @@ wheels = [

 [[package]]
 name = "pytest"
-version = "9.0.3"
+version = "9.0.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "colorama", marker = "sys_platform == 'win32'" },
@@ -634,9 +634,9 @@ dependencies = [
    { name = "pygments" },
    { name = "tomli", marker = "python_full_version < '3.11'" },
 ]
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+sdist = { url = "https://files.pythonhosted.org/packages/d1/db/7ef3487e0fb0049ddb5ce41d3a49c235bf9ad299b6a25d5780a89f19230f/pytest-9.0.2.tar.gz", hash = "sha256:75186651a92bd89611d1d9fc20f0b4345fd827c41ccd5c299a868a05d70edf11", size = 1568901, upload-time = "2025-12-06T21:30:51.014Z" }
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+    { url = "https://files.pythonhosted.org/packages/3b/ab/b3226f0bd7cdcf710fbede2b3548584366da3b19b5021e74f5bde2a8fa3f/pytest-9.0.2-py3-none-any.whl", hash = "sha256:711ffd45bf766d5264d487b917733b453d917afd2b0ad65223959f59089f875b", size = 374801, upload-time = "2025-12-06T21:30:49.154Z" },
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 [[package]]
@@ -746,27 +746,27 @@ wheels = [

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-version = "0.15.12"
+version = "0.15.8"
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+sdist = { url = "https://files.pythonhosted.org/packages/14/b0/73cf7550861e2b4824950b8b52eebdcc5adc792a00c514406556c5b80817/ruff-0.15.8.tar.gz", hash = "sha256:995f11f63597ee362130d1d5a327a87cb6f3f5eae3094c620bcc632329a4d26e", size = 4610921, upload-time = "2026-03-26T18:39:38.675Z" }
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 ]

 [[package]]
@@ -6,11 +6,6 @@ Implementation of LangGraph CheckpointSaver that uses Postgres.

 By default `langgraph-checkpoint-postgres` installs `psycopg` (Psycopg 3) without any extras. However, you can choose a specific installation that best suits your needs [here](https://www.psycopg.org/psycopg3/docs/basic/install.html) (for example, `psycopg[binary]`).

-## Security
-
-> [!IMPORTANT]
-> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
-
 ## Usage

 > [!IMPORTANT]
@@ -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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+    { url = "https://files.pythonhosted.org/packages/66/0f/09a6637a7ba777eb307b7c80852d9ee26438e2bdafbad6fcc849ff9d9192/langsmith-0.6.4-py3-none-any.whl", hash = "sha256:ac4835860160be371042c7adbba3cb267bcf8d96a5ea976c33a8a4acad6c5486", size = 283503, upload-time = "2026-01-15T20:02:26.662Z" },
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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"
@@ -2,11 +2,6 @@

 Implementation of LangGraph CheckpointSaver that uses SQLite DB (both sync and async, via `aiosqlite`)

-## Security
-
-> [!IMPORTANT]
-> Set `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list when creating your checkpointer. This restricts checkpoint deserialization to known-safe types, preventing code execution if the database is compromised. See the [langgraph-checkpoint README](https://github.com/langchain-ai/langgraph/tree/main/libs/checkpoint#serde) for details.
-
 ## Usage

 ```python
@@ -19,7 +19,7 @@ dependencies = [

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

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

 [[package]]
 name = "aiosqlite"
@@ -253,7 +249,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.2.22"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -265,14 +261,14 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-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" }
+sdist = { url = "https://files.pythonhosted.org/packages/b1/a3/c4cd6827a1df46c821e7214b7f7b7a28b189e6c9b84ef15c6d629c5e3179/langchain_core-1.2.22.tar.gz", hash = "sha256:8d8f726d03d3652d403da915126626bb6250747e8ba406537d849e68b9f5d058", size = 842487, upload-time = "2026-03-24T18:48:44.9Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/c7/a6/2ffacf0f1a3788f250e75d0b52a24896c413be11be3a6d42bcdf46fbea48/langchain_core-1.2.22-py3-none-any.whl", hash = "sha256:7e30d586b75918e828833b9ec1efc25465723566845dd652c277baf751e9c04b", size = 506829, upload-time = "2026-03-24T18:48:43.286Z" },
 ]

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.0a4"
+version = "4.0.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -389,7 +385,7 @@ test = [

 [[package]]
 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 = [

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-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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 ]
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-]
-
 [[package]]
 name = "zstandard"
 version = "0.25.0"
@@ -26,9 +26,6 @@ You must pass these when invoking the graph as part of the configurable part of

 `langgraph_checkpoint` also defines protocol for serialization/deserialization (serde) and provides an default implementation (`langgraph.checkpoint.serde.jsonplus.JsonPlusSerializer`) that handles a wide variety of types, including LangChain and LangGraph primitives, datetimes, enums and more.

-> [!IMPORTANT]
-> **Checkpoint deserialization security:** By default the serializer allows any Python type found in checkpoint data. New applications should set the environment variable `LANGGRAPH_STRICT_MSGPACK=true` or pass an explicit `allowed_msgpack_modules` list to `JsonPlusSerializer` to restrict deserialization to known-safe types.
-
 ### Pending writes

 When a graph node fails mid-execution at a given superstep, LangGraph stores pending checkpoint writes from any other nodes that completed successfully at that superstep, so that whenever we resume graph execution from that superstep we don't re-run the successful nodes.
@@ -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.
@@ -1,10 +1,3 @@
-"""Msgpack deserialization safety controls.
-
-Set ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict checkpoint deserialization
-to the types listed in ``SAFE_MSGPACK_TYPES``.  Without this, any Python
-callable stored in checkpoint data will be imported and executed on load.
-"""
-
 import os
 from collections.abc import Iterable
 from typing import cast
@@ -73,7 +66,6 @@ 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.
@@ -88,10 +56,6 @@ class JsonPlusSerializer(SerializerProtocol):
        class and called within the Pregel loop. It should not be used on untrusted
        python objects. If an attacker can write directly to your checkpoint database,
        they may be able to trigger code execution when data is deserialized.
-
-        Set the environment variable ``LANGGRAPH_STRICT_MSGPACK=true`` to restrict
-        deserialization to a built-in allowlist of safe types.  You can also pass
-        an explicit ``allowed_msgpack_modules`` to the constructor.
    """

    def __init__(
@@ -106,11 +70,8 @@ class JsonPlusSerializer(SerializerProtocol):
    ) -> None:
        if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
            if _lg_msgpack.STRICT_MSGPACK_ENABLED:
-                # Strict: only SAFE_MSGPACK_TYPES are allowed.
                allowed_msgpack_modules = None
            else:
-                # Permissive (default): all types allowed with a warning.
-                # Set LANGGRAPH_STRICT_MSGPACK=true to lock this down.
                allowed_msgpack_modules = True
        self.pickle_fallback = pickle_fallback
        self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
@@ -179,23 +140,19 @@ 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 +200,6 @@ 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 +269,10 @@ 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 +444,10 @@ 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 +498,6 @@ 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]:
@@ -592,13 +527,10 @@ 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 "
-                "to allowed_msgpack_modules to allow explicitly: [(%r, %r)]",
+                "Add to allowed_msgpack_modules to silence: [(%r, %r)]",
                module,
                name,
                module,
@@ -616,9 +548,7 @@ 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 +581,7 @@ 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 +602,6 @@ 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 +715,9 @@ 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
@@ -286,7 +286,7 @@ wheels = [

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

@@ -1085,6 +1086,11 @@
  resolved "https://registry.yarnpkg.com/@types/stack-utils/-/stack-utils-2.0.3.tgz#6209321eb2c1712a7e7466422b8cb1fc0d9dd5d8"
  integrity sha512-9aEbYZ3TbYMznPdcdr3SmIrLXwC/AKZXQeCf9Pgao5CKb8CyHuEX5jzWPTkvregvhRJHcpRO6BFoGW9ycaOkYw==

+"@types/uuid@^10.0.0":
+  version "10.0.0"
+  resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
+  integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
+
 "@types/yargs-parser@*":
  version "21.0.3"
  resolved "https://registry.yarnpkg.com/@types/yargs-parser/-/yargs-parser-21.0.3.tgz#815e30b786d2e8f0dcd85fd5bcf5e1a04d008f15"
@@ -1097,100 +1103,100 @@
  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":
@@ -1776,6 +1782,13 @@ concat-map@0.0.1:
  resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
  integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==

+console-table-printer@^2.12.1:
+  version "2.15.0"
+  resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.15.0.tgz#5c808204640b8f024d545bde8aabe5d344dfadc1"
+  integrity sha512-SrhBq4hYVjLCkBVOWaTzceJalvn5K1Zq5aQA6wXC/cYjI3frKWNPEMK3sZsJfNNQApvCQmgBcc13ZKmFj8qExw==
+  dependencies:
+    simple-wcswidth "^1.1.2"
+
 convert-source-map@^2.0.0:
  version "2.0.0"
  resolved "https://registry.yarnpkg.com/convert-source-map/-/convert-source-map-2.0.0.tgz#4b560f649fc4e918dd0ab75cf4961e8bc882d82a"
@@ -1908,10 +1921,10 @@ 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 +2275,17 @@ 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 +2695,7 @@ 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==
@@ -3675,12 +3688,16 @@ 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 "0.5.4"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
+  integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
  dependencies:
-    p-queue "6.6.2"
-    uuid "10.0.0"
+    "@types/uuid" "^10.0.0"
+    chalk "^4.1.2"
+    console-table-printer "^2.12.1"
+    p-queue "^6.6.2"
+    semver "^7.6.3"
+    uuid "^10.0.0"

 leven@^3.1.0:
  version "3.1.0"
@@ -3990,7 +4007,7 @@ p-locate@^5.0.0:
  dependencies:
    p-limit "^3.0.2"

-p-queue@6.6.2, p-queue@^6.6.2:
+p-queue@^6.6.2:
  version "6.6.2"
  resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
  integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -4129,10 +4146,10 @@ 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 +4303,7 @@ 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@^7.6.3, 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==
@@ -4394,6 +4411,11 @@ signal-exit@^4.0.1:
  resolved "https://registry.yarnpkg.com/signal-exit/-/signal-exit-4.1.0.tgz#952188c1cbd546070e2dd20d0f41c0ae0530cb04"
  integrity sha512-bzyZ1e88w9O1iNJbKnOlvYTrWPDl46O1bG0D3XInv+9tkPrxrN8jUUTiFlDkkmKWgn1M6CfIA13SuGqOa9Korw==

+simple-wcswidth@^1.1.2:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
+  integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
+
 slash@^3.0.0:
  version "3.0.0"
  resolved "https://registry.yarnpkg.com/slash/-/slash-3.0.0.tgz#6539be870c165adbd5240220dbe361f1bc4d4634"
@@ -4622,18 +4644,18 @@ 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"

@@ -4848,11 +4870,16 @@ uri-js@^4.2.2:
  dependencies:
    punycode "^2.1.0"

-uuid@10.0.0, uuid@^10.0.0:
+uuid@^10.0.0:
  version "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 +217,105 @@
  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==
+"@types/uuid@^10.0.0":
+  version "10.0.0"
+  resolved "https://registry.yarnpkg.com/@types/uuid/-/uuid-10.0.0.tgz#e9c07fe50da0f53dc24970cca94d619ff03f6f6d"
+  integrity sha512-7gqG38EyHgyP1S+7+xomFtL+ZNHcKv6DwNaCZmJmo1vgMugyF3TCnXVg4t1uk89mLNwnLtnY3TpOpCOyp1/xHQ==
+
+"@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:
@@ -337,6 +343,13 @@ ajv@^6.14.0:
    json-schema-traverse "^0.4.1"
    uri-js "^4.2.2"

+ansi-styles@^4.1.0:
+  version "4.3.0"
+  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-4.3.0.tgz#edd803628ae71c04c85ae7a0906edad34b648937"
+  integrity sha512-zbB9rCJAT1rbjiVDb2hqKFHNYLxgtk8NURxZ3IZwD3F6NtxbXZQCnnSi1Lkx+IDohdPlFp222wVALIheZJQSEg==
+  dependencies:
+    color-convert "^2.0.1"
+
 ansi-styles@^5.0.0:
  version "5.2.0"
  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
@@ -495,11 +508,38 @@ camelcase@6:
  resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
  integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==

+chalk@^4.1.2:
+  version "4.1.2"
+  resolved "https://registry.yarnpkg.com/chalk/-/chalk-4.1.2.tgz#aac4e2b7734a740867aeb16bf02aad556a1e7a01"
+  integrity sha512-oKnbhFyRIXpUuez8iBMmyEa4nbj4IOQyuhc/wy9kY7/WVPcwIO9VA668Pu8RkO7+0G76SLROeyw9CpQ061i4mA==
+  dependencies:
+    ansi-styles "^4.1.0"
+    supports-color "^7.1.0"
+
+color-convert@^2.0.1:
+  version "2.0.1"
+  resolved "https://registry.yarnpkg.com/color-convert/-/color-convert-2.0.1.tgz#72d3a68d598c9bdb3af2ad1e84f21d896abd4de3"
+  integrity sha512-RRECPsj7iu/xb5oKYcsFHSppFNnsj/52OVTRKb4zP5onXwVF3zVmmToNcOfGC+CRDpfK/U584fMg38ZHCaElKQ==
+  dependencies:
+    color-name "~1.1.4"
+
+color-name@~1.1.4:
+  version "1.1.4"
+  resolved "https://registry.yarnpkg.com/color-name/-/color-name-1.1.4.tgz#c2a09a87acbde69543de6f63fa3995c826c536a2"
+  integrity sha512-dOy+3AuW3a2wNbZHIuMZpTcgjGuLU/uBL/ubcZF9OXbDo8ff4O8yVp5Bf0efS8uEoYo5q4Fx7dY9OgQGXgAsQA==
+
 concat-map@0.0.1:
  version "0.0.1"
  resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
  integrity sha512-/Srv4dswyQNBfohGpz9o6Yb3Gz3SrUDqBH5rTuhGR7ahtlbYKnVxw2bCFMRljaA7EXHaXZ8wsHdodFvbkhKmqg==

+console-table-printer@^2.12.1:
+  version "2.14.6"
+  resolved "https://registry.yarnpkg.com/console-table-printer/-/console-table-printer-2.14.6.tgz#edfe0bf311fa2701922ed509443145ab51e06436"
+  integrity sha512-MCBl5HNVaFuuHW6FGbL/4fB7N/ormCy+tQ+sxTrF6QtSbSNETvPuOVbkJBhzDgYhvjWGrTma4eYJa37ZuoQsPw==
+  dependencies:
+    simple-wcswidth "^1.0.1"
+
 cross-spawn@^7.0.6:
  version "7.0.6"
  resolved "https://registry.yarnpkg.com/cross-spawn/-/cross-spawn-7.0.6.tgz#8a58fe78f00dcd70c370451759dfbfaf03e8ee9f"
@@ -786,17 +826,17 @@ 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"
@@ -1019,6 +1059,11 @@ has-bigints@^1.0.2:
  resolved "https://registry.yarnpkg.com/has-bigints/-/has-bigints-1.1.0.tgz#28607e965ac967e03cd2a2c70a2636a1edad49fe"
  integrity sha512-R3pbpkcIqv2Pm3dUwgjclDRVmWpTJW2DcMzcIhEXEx1oh/CEMObMm3KLmRJOdvhM7o4uQBnwr8pzRK2sJWIqfg==

+has-flag@^4.0.0:
+  version "4.0.0"
+  resolved "https://registry.yarnpkg.com/has-flag/-/has-flag-4.0.0.tgz#944771fd9c81c81265c4d6941860da06bb59479b"
+  integrity sha512-EykJT/Q1KjTWctppgIAgfSO0tKVuZUjhgMr17kqTumMl6Afv3EISleU7qZUzoXDFTAHTDC4NOoG/ZxU3EvlMPQ==
+
 has-property-descriptors@^1.0.0, has-property-descriptors@^1.0.2:
  version "1.0.2"
  resolved "https://registry.yarnpkg.com/has-property-descriptors/-/has-property-descriptors-1.0.2.tgz#963ed7d071dc7bf5f084c5bfbe0d1b6222586854"
@@ -1327,12 +1372,16 @@ 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 "0.5.4"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.4.tgz#f75b82b08e30db72a7d1d595b341e9666bd525e5"
+  integrity sha512-qYkNIoKpf0ZYt+cYzrDV+XI3FCexApmZmp8EMs3eDTMv0OvrHMLoxJ9IpkeoXJSX24+GPk0/jXjKx2hWerpy9w==
  dependencies:
-    p-queue "6.6.2"
-    uuid "10.0.0"
+    "@types/uuid" "^10.0.0"
+    chalk "^4.1.2"
+    console-table-printer "^2.12.1"
+    p-queue "^6.6.2"
+    semver "^7.6.3"
+    uuid "^10.0.0"

 levn@^0.4.1:
  version "0.4.1"
@@ -1479,7 +1528,7 @@ p-locate@^5.0.0:
  dependencies:
    p-limit "^3.0.2"

-p-queue@6.6.2, p-queue@^6.6.2:
+p-queue@^6.6.2:
  version "6.6.2"
  resolved "https://registry.yarnpkg.com/p-queue/-/p-queue-6.6.2.tgz#2068a9dcf8e67dd0ec3e7a2bcb76810faa85e426"
  integrity sha512-RwFpb72c/BhQLEXIZ5K2e+AhgNVmIejGlTgiB9MzZ0e93GRvqZ7uSi0dvRF7/XIXDeNkra2fNHBxTyPDGySpjQ==
@@ -1558,10 +1607,10 @@ 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"
@@ -1641,6 +1690,11 @@ semver@^6.3.1:
  resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
  integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==

+semver@^7.6.3:
+  version "7.7.2"
+  resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.2.tgz#67d99fdcd35cec21e6f8b87a7fd515a33f982b58"
+  integrity sha512-RF0Fw+rO5AMf9MAyaRXI4AV0Ulj5lMHqVxxdSgiVbixSCXoEmmX/jk0CuJw4+3SqroYO9VoUh+HcuJivvtJemA==
+
 semver@^7.7.3:
  version "7.7.4"
  resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
@@ -1729,6 +1783,11 @@ side-channel@^1.1.0:
    side-channel-map "^1.0.1"
    side-channel-weakmap "^1.0.2"

+simple-wcswidth@^1.0.1:
+  version "1.1.2"
+  resolved "https://registry.yarnpkg.com/simple-wcswidth/-/simple-wcswidth-1.1.2.tgz#66722f37629d5203f9b47c5477b1225b85d6525b"
+  integrity sha512-j7piyCjAeTDSjzTSQ7DokZtMNwNlEAyxqSZeCS+CXH7fJ4jx3FuJ/mTW3mE+6JLs4VJBbcll0Kjn+KXI5t21Iw==
+
 stop-iteration-iterator@^1.1.0:
  version "1.1.0"
  resolved "https://registry.yarnpkg.com/stop-iteration-iterator/-/stop-iteration-iterator-1.1.0.tgz#f481ff70a548f6124d0312c3aa14cbfa7aa542ad"
@@ -1779,6 +1838,13 @@ strip-json-comments@^3.1.1:
  resolved "https://registry.yarnpkg.com/strip-json-comments/-/strip-json-comments-3.1.1.tgz#31f1281b3832630434831c310c01cccda8cbe006"
  integrity sha512-6fPc+R4ihwqP6N/aIv2f1gMH8lOVtWQHoqC4yK6oSDVVocumAsfCqjkXnqiYMhmMwS/mEHLp7Vehlt3ql6lEig==

+supports-color@^7.1.0:
+  version "7.2.0"
+  resolved "https://registry.yarnpkg.com/supports-color/-/supports-color-7.2.0.tgz#1b7dcdcb32b8138801b3e478ba6a51caa89648da"
+  integrity sha512-qpCAvRl9stuOHveKsn7HncJRvv501qIacKzQlO/+Lwxc9+0q2wLyv4Dfvt80/DPn2pqOBsJdDiogXGR9+OvwRw==
+  dependencies:
+    has-flag "^4.0.0"
+
 supports-preserve-symlinks-flag@^1.0.0:
  version "1.0.0"
  resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
@@ -1814,17 +1880,17 @@ 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"
@@ -1900,11 +1966,16 @@ uri-js@^4.2.2:
  dependencies:
    punycode "^2.1.0"

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

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


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

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

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

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

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

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

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

 import click
-import pathspec

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


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


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

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

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

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

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

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

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

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

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


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

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

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

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

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

 <br>
@@ -1,7 +1,7 @@
 from __future__ import annotations

 from collections import ChainMap
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
 from os import getenv
 from typing import Any, cast

@@ -217,16 +217,14 @@ def get_callback_manager_for_config(
            callbacks.add_tags(all_tags)
        if metadata := config.get("metadata"):
            callbacks.add_metadata(metadata)
-        manager = callbacks
+        return callbacks
    else:
        # otherwise create a new manager
-        manager = CallbackManager.configure(
+        return CallbackManager.configure(
            inheritable_callbacks=config.get("callbacks"),
            inheritable_tags=all_tags,
            inheritable_metadata=config.get("metadata"),
-            langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
        )
-    return manager


 def get_async_callback_manager_for_config(
@@ -257,16 +255,14 @@ def get_async_callback_manager_for_config(
            callbacks.add_tags(all_tags)
        if metadata := config.get("metadata"):
            callbacks.add_metadata(metadata)
-        manager = callbacks
+        return callbacks
    else:
        # otherwise create a new manager
-        manager = AsyncCallbackManager.configure(
+        return AsyncCallbackManager.configure(
            inheritable_callbacks=config.get("callbacks"),
            inheritable_tags=all_tags,
            inheritable_metadata=config.get("metadata"),
-            langsmith_inheritable_metadata=_get_tracing_metadata_defaults(config),
        )
-    return manager


 def _is_not_empty(value: Any) -> bool:
@@ -312,54 +308,22 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
        for k, v in config.items():
            if _is_not_empty(v) and k not in CONFIG_KEYS:
                empty[CONF][k] = v
-
-    configurable = empty.get("configurable")
-    metadata = empty.get("metadata")
-    if configurable and metadata is not None:
-        for key in _PROPAGATE_TO_METADATA:
-            if key in metadata:
-                continue
-            value = configurable.get(key)
-            if value:
-                metadata[key] = value
+    _empty_metadata = empty["metadata"]
+    for key, value in empty[CONF].items():
+        if _exclude_as_metadata(key, value, _empty_metadata):
+            continue
+        _empty_metadata[key] = value
    return empty


 _OMIT = ("key", "token", "secret", "password", "auth")


-def _exclude_as_metadata(key: str, value: Any) -> bool:
+def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
    key_lower = key.casefold()
    return (
        key.startswith("__")
        or not isinstance(value, (str, int, float, bool))
+        or key in metadata
        or any(substr in key_lower for substr in _OMIT)
    )
-
-
-def _get_tracing_metadata_defaults(
-    config: RunnableConfig,
-) -> dict[str, Any] | None:
-    """Get tracer-only metadata defaults from configurable values."""
-    configurable = config.get("configurable")
-    if not configurable:
-        return None
-    metadata: dict[str, Any] = {}
-    for key, value in configurable.items():
-        if _exclude_as_metadata(key, value):
-            continue
-        metadata[key] = value
-    return metadata or None
-
-
-_PROPAGATE_TO_METADATA = frozenset(
-    (
-        "thread_id",
-        "checkpoint_id",
-        "checkpoint_ns",
-        "task_id",
-        "run_id",
-        "assistant_id",
-        "graph_id",
-    )
-)
@@ -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")
@@ -71,13 +66,6 @@ CONFIG_KEY_RUNTIME = sys.intern("__pregel_runtime")
 # holds a `Runtime` instance with context, store, stream writer, etc.
 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`

 # --- Other constants ---
 PUSH = sys.intern("__pregel_push")
@@ -105,7 +93,6 @@ RESERVED = {
    INTERRUPT,
    RESUME,
    ERROR,
-    ERROR_SOURCE_NODE,
    NO_WRITES,
    # reserved config.configurable keys
    CONFIG_KEY_SEND,
@@ -119,9 +106,7 @@ 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
    PUSH,
    PULL,
@@ -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.")
@@ -1,394 +0,0 @@
-"""Graph lifecycle callback interfaces and event payloads.
-
-This module defines the public callback surface for observing LangGraph-specific
-lifecycle transitions such as interrupt and resume.
-"""
-
-from __future__ import annotations
-
-from collections.abc import Sequence
-from dataclasses import dataclass
-from typing import Any, Literal, TypeAlias, TypeVar
-from uuid import UUID
-
-from langchain_core.callbacks import BaseCallbackHandler, BaseCallbackManager
-from langchain_core.callbacks.manager import ahandle_event, handle_event
-from langchain_core.runnables import RunnableConfig
-
-from langgraph.types import Interrupt
-
-__all__ = (
-    "GraphCallbackHandler",
-    "GraphInterruptEvent",
-    "GraphLifecycleEvent",
-    "GraphLifecycleStatus",
-    "GraphResumeEvent",
-    "get_async_graph_callback_manager_for_config",
-    "get_sync_graph_callback_manager_for_config",
-)
-
-
-GraphLifecycleStatus: TypeAlias = Literal[
-    "input",
-    "pending",
-    "done",
-    "interrupt_before",
-    "interrupt_after",
-    "out_of_steps",
-]
-"""Allowed lifecycle statuses reported in graph lifecycle callback events."""
-
-
-@dataclass(frozen=True)
-class GraphInterruptEvent:
-    """Graph lifecycle event emitted when execution pauses for interrupts."""
-
-    run_id: UUID | None
-    """Run id for the current graph execution, if available."""
-
-    status: GraphLifecycleStatus
-    """Loop status when the interrupt was captured."""
-
-    checkpoint_id: str
-    """Checkpoint id associated with the interrupted execution."""
-
-    checkpoint_ns: tuple[str, ...]
-    """Checkpoint namespace path for the current graph or subgraph."""
-
-    interrupts: tuple[Interrupt, ...]
-    """Interrupt payloads that caused the graph to pause."""
-
-
-@dataclass(frozen=True)
-class GraphResumeEvent:
-    """Graph lifecycle event emitted when execution resumes from a checkpoint."""
-
-    run_id: UUID | None
-    """Run id for the current graph execution, if available."""
-
-    status: GraphLifecycleStatus
-    """Loop status when the resume was captured."""
-
-    checkpoint_id: str
-    """Checkpoint id the graph resumed from."""
-
-    checkpoint_ns: tuple[str, ...]
-    """Checkpoint namespace path for the current graph or subgraph."""
-
-
-GraphLifecycleEvent: TypeAlias = GraphInterruptEvent | GraphResumeEvent
-"""Union of all public graph lifecycle callback event payloads.
-
-Use this alias when a callback or helper can receive either interrupt or resume
-lifecycle events.
-"""
-
-
-class GraphCallbackHandler(BaseCallbackHandler):
-    """Base class for graph-level lifecycle callbacks.
-
-    Subclass this handler to observe graph lifecycle transitions that are
-    specific to LangGraph execution, rather than generic LangChain runnable
-    callbacks.
-
-    Instances can be passed through `config["callbacks"]` when invoking a
-    graph. Only handlers that inherit from `GraphCallbackHandler` receive these
-    lifecycle events.
-    """
-
-    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
-        """Run when graph execution pauses due to one or more interrupts.
-
-        Args:
-            event: Interrupt lifecycle event payload.
-        """
-
-    def on_resume(self, event: GraphResumeEvent) -> Any:
-        """Run when graph execution resumes from a persisted checkpoint.
-
-        Args:
-            event: Resume lifecycle event payload.
-        """
-
-
-_MISSING = object()
-
-
-def _filter_graph_handlers(
-    handlers: list[BaseCallbackHandler],
-) -> list[GraphCallbackHandler]:
-    return [h for h in handlers if isinstance(h, GraphCallbackHandler)]
-
-
-def _init_base_manager(
-    manager: BaseCallbackManager,
-    handlers: Sequence[GraphCallbackHandler] | None,
-    inheritable_handlers: Sequence[GraphCallbackHandler] | None,
-    parent_run_id: UUID | None,
-    *,
-    tags: list[str] | None,
-    inheritable_tags: list[str] | None,
-    metadata: dict[str, Any] | None,
-    inheritable_metadata: dict[str, Any] | None,
-    run_id: UUID | None,
-) -> None:
-    base_handlers: list[BaseCallbackHandler] = []
-    base_inheritable_handlers: list[BaseCallbackHandler] = []
-    if handlers is not None:
-        base_handlers.extend(handlers)
-    if inheritable_handlers is not None:
-        base_inheritable_handlers.extend(inheritable_handlers)
-    BaseCallbackManager.__init__(
-        manager,
-        handlers=base_handlers,
-        inheritable_handlers=base_inheritable_handlers,
-        parent_run_id=parent_run_id,
-        tags=tags,
-        inheritable_tags=inheritable_tags,
-        metadata=metadata,
-        inheritable_metadata=inheritable_metadata,
-    )
-    manager.run_id = run_id  # type: ignore[attr-defined]
-
-
-def _configure_graph_callbacks(
-    cls: type[_GraphManagerT],
-    callbacks: object | None,
-    *,
-    run_id: UUID | None,
-) -> _GraphManagerT:
-    if callbacks is None:
-        return cls(run_id=run_id)
-    if isinstance(callbacks, cls):
-        return callbacks.copy(run_id=run_id)
-    if isinstance(callbacks, (_GraphCallbackManager, _AsyncGraphCallbackManager)):
-        # Cross-type: extract handlers into the requested cls.
-        return cls(
-            handlers=_filter_graph_handlers(callbacks.handlers),
-            inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
-            parent_run_id=callbacks.parent_run_id,
-            tags=callbacks.tags.copy(),
-            inheritable_tags=callbacks.inheritable_tags.copy(),
-            metadata=callbacks.metadata.copy(),
-            inheritable_metadata=callbacks.inheritable_metadata.copy(),
-            run_id=run_id,
-        )
-    if isinstance(callbacks, BaseCallbackManager):
-        return cls(
-            handlers=_filter_graph_handlers(callbacks.handlers),
-            inheritable_handlers=_filter_graph_handlers(callbacks.inheritable_handlers),
-            parent_run_id=callbacks.parent_run_id,
-            tags=callbacks.tags.copy(),
-            inheritable_tags=callbacks.inheritable_tags.copy(),
-            metadata=callbacks.metadata.copy(),
-            inheritable_metadata=callbacks.inheritable_metadata.copy(),
-            run_id=run_id,
-        )
-    if isinstance(callbacks, GraphCallbackHandler):
-        return cls((callbacks,), run_id=run_id)
-    if isinstance(callbacks, (str, bytes)) or not isinstance(callbacks, Sequence):
-        raise TypeError("callbacks must be a handler, sequence, or manager")
-    return cls(_filter_graph_handlers(list(callbacks)), run_id=run_id)
-
-
-def _copy_graph_manager(
-    manager: _GraphCallbackManager | _AsyncGraphCallbackManager,
-    cls: type[_GraphManagerT],
-    run_id: UUID | None | object,
-) -> _GraphManagerT:
-    resolved_run_id: UUID | None
-    if run_id is _MISSING:
-        resolved_run_id = manager.run_id
-    else:
-        if run_id is not None and not isinstance(run_id, UUID):
-            raise TypeError("run_id must be a UUID or None")
-        resolved_run_id = run_id
-
-    return cls(
-        handlers=_filter_graph_handlers(manager.handlers),
-        inheritable_handlers=_filter_graph_handlers(manager.inheritable_handlers),
-        parent_run_id=manager.parent_run_id,
-        tags=manager.tags.copy(),
-        inheritable_tags=manager.inheritable_tags.copy(),
-        metadata=manager.metadata.copy(),
-        inheritable_metadata=manager.inheritable_metadata.copy(),
-        run_id=resolved_run_id,
-    )
-
-
-class _GraphCallbackManager(BaseCallbackManager):
-    """Sync dispatcher for graph lifecycle events."""
-
-    run_id: UUID | None
-
-    def __init__(
-        self,
-        handlers: Sequence[GraphCallbackHandler] | None = None,
-        inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
-        parent_run_id: UUID | None = None,
-        *,
-        tags: list[str] | None = None,
-        inheritable_tags: list[str] | None = None,
-        metadata: dict[str, Any] | None = None,
-        inheritable_metadata: dict[str, Any] | None = None,
-        run_id: UUID | None = None,
-    ) -> None:
-        _init_base_manager(
-            self,
-            handlers,
-            inheritable_handlers,
-            parent_run_id,
-            tags=tags,
-            inheritable_tags=inheritable_tags,
-            metadata=metadata,
-            inheritable_metadata=inheritable_metadata,
-            run_id=run_id,
-        )
-
-    def copy(
-        self,
-        *,
-        run_id: UUID | None | object = _MISSING,
-    ) -> _GraphCallbackManager:
-        return _copy_graph_manager(self, _GraphCallbackManager, run_id)
-
-    @classmethod
-    def configure(
-        cls,
-        callbacks: object | None = None,
-        *,
-        run_id: UUID | None = None,
-    ) -> _GraphCallbackManager:
-        return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
-
-    def on_interrupt(self, event: GraphInterruptEvent) -> None:
-        handle_event(
-            self.handlers,
-            "on_interrupt",
-            None,
-            event,
-        )
-
-    def on_resume(self, event: GraphResumeEvent) -> None:
-        handle_event(
-            self.handlers,
-            "on_resume",
-            None,
-            event,
-        )
-
-
-class _AsyncGraphCallbackManager(BaseCallbackManager):
-    """Async dispatcher for graph lifecycle events."""
-
-    run_id: UUID | None
-
-    @property
-    def is_async(self) -> bool:
-        """Return whether the manager is async."""
-        return True
-
-    def __init__(
-        self,
-        handlers: Sequence[GraphCallbackHandler] | None = None,
-        inheritable_handlers: Sequence[GraphCallbackHandler] | None = None,
-        parent_run_id: UUID | None = None,
-        *,
-        tags: list[str] | None = None,
-        inheritable_tags: list[str] | None = None,
-        metadata: dict[str, Any] | None = None,
-        inheritable_metadata: dict[str, Any] | None = None,
-        run_id: UUID | None = None,
-    ) -> None:
-        _init_base_manager(
-            self,
-            handlers,
-            inheritable_handlers,
-            parent_run_id,
-            tags=tags,
-            inheritable_tags=inheritable_tags,
-            metadata=metadata,
-            inheritable_metadata=inheritable_metadata,
-            run_id=run_id,
-        )
-
-    def copy(
-        self,
-        *,
-        run_id: UUID | None | object = _MISSING,
-    ) -> _AsyncGraphCallbackManager:
-        return _copy_graph_manager(self, _AsyncGraphCallbackManager, run_id)
-
-    @classmethod
-    def configure(
-        cls,
-        callbacks: object | None = None,
-        *,
-        run_id: UUID | None = None,
-    ) -> _AsyncGraphCallbackManager:
-        return _configure_graph_callbacks(cls, callbacks, run_id=run_id)
-
-    async def on_interrupt(self, event: GraphInterruptEvent) -> None:
-        await ahandle_event(
-            self.handlers,
-            "on_interrupt",
-            None,
-            event,
-        )
-
-    async def on_resume(self, event: GraphResumeEvent) -> None:
-        await ahandle_event(
-            self.handlers,
-            "on_resume",
-            None,
-            event,
-        )
-
-
-_GraphManagerT = TypeVar(
-    "_GraphManagerT", _GraphCallbackManager, _AsyncGraphCallbackManager
-)
-
-GraphCallbacks: TypeAlias = (
-    _GraphCallbackManager
-    | _AsyncGraphCallbackManager
-    | BaseCallbackManager
-    | GraphCallbackHandler
-    | Sequence[BaseCallbackHandler]
-    | Sequence[GraphCallbackHandler]
-    | None
-)
-
-
-def get_sync_graph_callback_manager_for_config(
-    config: RunnableConfig,
-    *,
-    run_id: UUID | None = None,
-) -> _GraphCallbackManager:
-    """Build a sync graph lifecycle callback manager from a runnable config.
-
-    This helper filters `config["callbacks"]` down to handlers that inherit
-    from `GraphCallbackHandler` and binds the provided `run_id` onto the
-    returned manager.
-    """
-    return _GraphCallbackManager.configure(
-        config.get("callbacks"),
-        run_id=run_id,
-    )
-
-
-def get_async_graph_callback_manager_for_config(
-    config: RunnableConfig,
-    *,
-    run_id: UUID | None = None,
-) -> _AsyncGraphCallbackManager:
-    """Build an async graph lifecycle callback manager from a runnable config.
-
-    This helper filters `config["callbacks"]` down to handlers that inherit
-    from `GraphCallbackHandler` and binds the provided `run_id` onto the
-    returned manager.
-    """
-    return _AsyncGraphCallbackManager.configure(
-        config.get("callbacks"),
-        run_id=run_id,
-    )
@@ -1,7 +1,6 @@
 from langgraph.channels.any_value import AnyValue
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue, LastValueAfterFinish
 from langgraph.channels.named_barrier_value import (
@@ -21,7 +20,6 @@ __all__ = (
    "UntrackedValue",
    "EphemeralValue",
    "BinaryOperatorAggregate",
-    "DeltaChannel",
    "NamedBarrierValue",
    "NamedBarrierValueAfterFinish",
    # topics
@@ -22,9 +22,10 @@ __all__ = ("BinaryOperatorAggregate",)
 def _strip_extras(t):  # type: ignore[no-untyped-def]
    """Strips Annotated, Required and NotRequired from a given type."""
    if hasattr(t, "__origin__"):
-        if t.__origin__ in (Required, NotRequired):
-            return _strip_extras(t.__args__[0])
        return _strip_extras(t.__origin__)
+    if hasattr(t, "__origin__") and t.__origin__ in (Required, NotRequired):
+        return _strip_extras(t.__args__[0])
+
    return t


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


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

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

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

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

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

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


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

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


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

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

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

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

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

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

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

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

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

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

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

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


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


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

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

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

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

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

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

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

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

@@ -1093,7 +1045,6 @@ 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,
    ) -> CompiledStateGraph[StateT, ContextT, InputT, OutputT]:
        """Compiles the `StateGraph` into a `CompiledStateGraph` object.

@@ -1126,19 +1077,11 @@ 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.

        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 +1136,6 @@ 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,
@@ -1220,9 +1158,7 @@ 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,
        )
        compiled._serde_allowlist = serde_allowlist

@@ -1395,10 +1331,7 @@ 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 +1667,6 @@ def _is_field_channel(typ: type[Any]) -> BaseChannel | None:
        # Search through all annotated medata to find channel annotations
        for item in meta:
            if isinstance(item, BaseChannel):
-                if isinstance(item, DeltaChannel) and hasattr(typ, "__origin__"):
-                    origin = typ.__origin__
-                    # Unwrap parameterized Required[X]/NotRequired[X] to X
-                    # (e.g. Annotated[NotRequired[dict[...]], ...]).
-                    if hasattr(origin, "__origin__") and origin.__origin__ in (
-                        Required,
-                        NotRequired,
-                    ):
-                        origin = origin.__args__[0]
-                    item = item.__class__(
-                        item.reducer,
-                        origin,
-                        snapshot_frequency=item.snapshot_frequency,
-                    )
                return item
            elif isclass(item) and issubclass(item, BaseChannel):
                # ex, Annotated[int, EphemeralValue, SomeOtherAnnotation]
@@ -39,7 +39,6 @@ from langgraph._internal._constants import (
    CONFIG_KEY_CHECKPOINT_MAP,
    CONFIG_KEY_CHECKPOINT_NS,
    CONFIG_KEY_CHECKPOINTER,
-    CONFIG_KEY_NODE_ERROR,
    CONFIG_KEY_READ,
    CONFIG_KEY_RESUME_MAP,
    CONFIG_KEY_RUNTIME,
@@ -48,7 +47,6 @@ from langgraph._internal._constants import (
    CONFIG_KEY_TASK_ID,
    CONFIG_KEY_THREAD_ID,
    ERROR,
-    ERROR_SOURCE_NODE,
    INTERRUPT,
    NO_WRITES,
    NS_END,
@@ -68,7 +66,6 @@ from langgraph.channels.base import BaseChannel
 from langgraph.channels.topic import Topic
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.constants import TAG_HIDDEN
-from langgraph.errors import NodeError
 from langgraph.managed.base import ManagedValueMapping
 from langgraph.pregel._call import get_runnable_for_task, identifier
 from langgraph.pregel._io import read_channels
@@ -83,7 +80,6 @@ from langgraph.types import (
    PregelTask,
    RetryPolicy,
    Send,
-    TimeoutPolicy,
 )

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


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

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

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


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


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


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

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

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

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

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

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

 LATEST_VERSION = 4

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

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


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


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


 def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
@@ -253,17 +86,3 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
        versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
        updated_channels=checkpoint.get("updated_channels", None),
    )
-
-
-def read_delta_updates_since_snapshot(
-    metadata: CheckpointMetadata | None,
-) -> dict[str, int]:
-    """Read the per-channel update counter from checkpoint metadata.
-
-    Returns an empty dict for missing/None metadata; the dict is
-    `total=False` on `CheckpointMetadata`, so absence means "no prior
-    delta-channel activity tracked."
-    """
-    if not metadata:
-        return {}
-    return dict(metadata.get("delta_updates_since_snapshot", {}) or {})
@@ -45,13 +45,11 @@ from langgraph._internal._constants import (
    CONFIG_KEY_REPLAY_STATE,
    CONFIG_KEY_RESUME_MAP,
    CONFIG_KEY_RESUMING,
-    CONFIG_KEY_RUNTIME,
    CONFIG_KEY_SCRATCHPAD,
    CONFIG_KEY_STREAM,
    CONFIG_KEY_TASK_ID,
    CONFIG_KEY_THREAD_ID,
    ERROR,
-    ERROR_SOURCE_NODE,
    INPUT,
    INTERRUPT,
    NS_END,
@@ -64,13 +62,7 @@ from langgraph._internal._constants import (
 from langgraph._internal._replay import ReplayState
 from langgraph._internal._scratchpad import PregelScratchpad
 from langgraph._internal._typing import EMPTY_SEQ, MISSING
-from langgraph.callbacks import (
-    GraphInterruptEvent,
-    GraphLifecycleEvent,
-    GraphResumeEvent,
-)
 from langgraph.channels.base import BaseChannel
-from langgraph.channels.delta import DeltaChannel
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.constants import TAG_HIDDEN
 from langgraph.errors import (
@@ -89,14 +81,12 @@ from langgraph.pregel._algo import (
    checkpoint_null_version,
    increment,
    prepare_next_tasks,
-    prepare_node_error_handler_task,
    prepare_single_task,
    sanitize_untracked_values_in_send,
    should_interrupt,
    task_path_str,
 )
 from langgraph.pregel._checkpoint import (
-    achannels_from_checkpoint,
    channels_from_checkpoint,
    copy_checkpoint,
    create_checkpoint,
@@ -122,13 +112,11 @@ 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,
    Command,
    Durability,
-    Interrupt,
    PregelExecutableTask,
    RetryPolicy,
    Send,
@@ -194,8 +182,6 @@ class PregelLoop:
    _migrate_checkpoint: Callable[[Checkpoint], None] | None
    submit: Submit
    channels: Mapping[str, BaseChannel]
-    # Only set on AsyncPregelLoop; sync loops keep this as None.
-    _delta_write_futs: list[Any] | None = None
    managed: ManagedValueMapping
    checkpoint: Checkpoint
    checkpoint_id_saved: str
@@ -210,17 +196,13 @@ 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
-    _graph_lifecycle_events: deque[GraphLifecycleEvent]
-    _has_graph_lifecycle_callbacks: bool

    # public

@@ -246,7 +228,6 @@ class PregelLoop:
        migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
        retry_policy: Sequence[RetryPolicy] = (),
        cache_policy: CachePolicy | None = None,
-        has_graph_lifecycle_callbacks: bool = False,
    ) -> None:
        self.stream = stream
        self.config = config
@@ -271,8 +252,6 @@ class PregelLoop:
        self.retry_policy = retry_policy
        self.cache_policy = cache_policy
        self.durability = durability
-        self._has_graph_lifecycle_callbacks = has_graph_lifecycle_callbacks
-        self._graph_lifecycle_events = deque()
        if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
            self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
        scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
@@ -323,47 +302,6 @@ 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,
-        kind: Literal["resume", "interrupt"],
-        *,
-        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,
-                    checkpoint_id=self.checkpoint["id"],
-                    checkpoint_ns=self.checkpoint_ns,
-                )
-            )
-        elif kind == "interrupt":
-            self._graph_lifecycle_events.append(
-                GraphInterruptEvent(
-                    run_id=None,
-                    status=status,
-                    checkpoint_id=self.checkpoint["id"],
-                    checkpoint_ns=self.checkpoint_ns,
-                    interrupts=interrupts,
-                )
-            )
-        else:
-            msg = f"Unknown graph lifecycle event type: {kind}"
-            raise AssertionError(msg)
-
-    def _pop_lifecycle_event(self) -> GraphLifecycleEvent | None:
-        if not self._graph_lifecycle_events:
-            return None
-        return self._graph_lifecycle_events.popleft()

    def put_writes(self, task_id: str, writes: WritesT) -> None:
        """Put writes for a task, to be read by the next tick."""
@@ -423,7 +361,7 @@ class PregelLoop:
                    task = self.tasks.get(task_id)
                else:
                    task = None
-                fut = self.submit(
+                self.submit(
                    self.checkpointer_put_writes,
                    config,
                    writes_to_save,
@@ -431,16 +369,12 @@ class PregelLoop:
                    task_path_str(task.path) if task else "",
                )
            else:
-                fut = self.submit(
+                self.submit(
                    self.checkpointer_put_writes,
                    config,
                    writes_to_save,
                    task_id,
                )
-            if self._delta_write_futs is not None and any(
-                isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
-            ):
-                self._delta_write_futs.append(fut)
        # output writes
        if hasattr(self, "tasks"):
            self.output_writes(task_id, writes)
@@ -524,16 +458,6 @@ class PregelLoop:
            # return the new task, to be started if not run before
            return pushed

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

@@ -592,10 +516,6 @@ class PregelLoop:
            self.status = "done"
            return False

-        if self.control is not None and self.control.drain_requested:
-            self.status = "draining"
-            return False
-
        # if there are pending writes from a previous loop, apply them
        if not self.is_replaying and self.checkpoint_pending_writes:
            self._match_writes(self.tasks)
@@ -662,7 +582,7 @@ class PregelLoop:

    def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
        for tid, k, v in self.checkpoint_pending_writes:
-            if k in (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME):
+            if k in (ERROR, INTERRUPT, RESUME):
                continue
            if task := tasks.get(tid):
                task.writes.append((k, v))
@@ -727,7 +647,7 @@ class PregelLoop:
        # writes so that interrupt() calls re-fire instead of returning
        # stale values. But if we're actively resuming, keep them —
        # multi-interrupt scenarios need previously resolved values preserved.
-        is_time_traveling = self.is_replaying and (
+        if self.is_replaying and (
            # Time-travel to a subgraph checkpoint: the parent sets
            # RESUMING=True (it can't distinguish time-travel from resume),
            # so we check if this subgraph's own ns is in checkpoint_map.
@@ -745,8 +665,7 @@ class PregelLoop:
                # (subgraph input is a Send arg, not a Command)
                or configurable.get(CONFIG_KEY_RESUMING, False)
            )
-        )
-        if is_time_traveling:
+        ):
            self.checkpoint_pending_writes = [
                w for w in self.checkpoint_pending_writes if w[1] != RESUME
            ]
@@ -801,26 +720,6 @@ class PregelLoop:
                if k in self.checkpoint["channel_versions"]:
                    version = self.checkpoint["channel_versions"][k]
                    self.checkpoint["versions_seen"][INTERRUPT][k] = version
-            # When time-traveling (replaying from a specific checkpoint),
-            # save a fork checkpoint so the replayed execution creates a
-            # new branch. Without this, if the execution hits an interrupt
-            # before after_tick() runs, no new checkpoint is created —
-            # the parent's latest checkpoint remains the old one and
-            # subsequent resumes load the wrong state.
-            # Skip for update_state forks (source=update/fork) since they
-            # already have their own fork checkpoint.
-            if is_time_traveling and self.checkpoint_metadata.get("source") not in (
-                "update",
-                "fork",
-            ):
-                # Clear old INTERRUPT writes from the loaded checkpoint.
-                # The fork will have a new checkpoint_id which changes
-                # task IDs — stale interrupt writes would accumulate and
-                # confuse the multiple-interrupt check in future resumes.
-                self.checkpoint_pending_writes = [
-                    w for w in self.checkpoint_pending_writes if w[1] != INTERRUPT
-                ]
-                self._put_checkpoint({"source": "fork"})
            # produce values output
            self._emit(
                "values", map_output_values, self.output_keys, True, self.channels
@@ -863,28 +762,14 @@ 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(
@@ -900,8 +785,6 @@ class PregelLoop:
            )
        # set flag
        self.status = "pending"
-        if is_resuming:
-            self._push_graph_lifecycle_event("resume")
        return updated_channels

    def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
@@ -910,22 +793,6 @@ class PregelLoop:
        if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
            # checkpoint already saved
            return
-        # Carry per-delta-channel update bookkeeping forward across
-        # supersteps. Capture from the OLD metadata before potentially
-        # replacing it with a fresh dict that wouldn't contain it. Then
-        # increment for any delta channel updated this step (so the count
-        # reflects "supersteps that wrote to this channel since last
-        # snapshot"). create_checkpoint will reset entries to 0 for any
-        # channel that fires a snapshot this step.
-        prev_counts = dict(
-            self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
-        )
-        new_counts = dict(prev_counts)
-        if self.updated_channels:
-            for ch_name in self.updated_channels:
-                ch_obj = self.channels.get(ch_name)
-                if isinstance(ch_obj, DeltaChannel):
-                    new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
        if not exiting:
            metadata["step"] = self.step
            metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
@@ -941,17 +808,7 @@ class PregelLoop:
            self.step,
            id=self.checkpoint["id"] if exiting else None,
            updated_channels=self.updated_channels,
-            get_next_version=self.checkpointer_get_next_version
-            if do_checkpoint
-            else None,
-            force_delta_snapshot=exiting and self.durability == "exit",
-            updates_since_snapshot=new_counts,
-            new_updates_since_snapshot=new_counts,
        )
-        if new_counts:
-            self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
-        elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
-            del self.checkpoint_metadata["delta_updates_since_snapshot"]
        # sanitize TASK channel in the checkpoint before saving (durability=="exit")
        if TASKS in self.checkpoint["channel_values"] and any(
            isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -1028,10 +885,8 @@ class PregelLoop:
            self._put_checkpoint(self.checkpoint_metadata)
            self._put_pending_writes()
        # suppress interrupt
-        if isinstance(exc_value, GraphInterrupt) and not self.is_nested:
-            interrupt = exc_value
-            interrupts = tuple(interrupt.args[0]) if interrupt.args else ()
-            self._push_graph_lifecycle_event("interrupt", interrupts=interrupts)
+        suppress = isinstance(exc_value, GraphInterrupt) and not self.is_nested
+        if suppress:
            # emit one last "values" event, with pending writes applied
            if (
                hasattr(self, "tasks")
@@ -1058,11 +913,12 @@ class PregelLoop:
                        self.channels,
                    )
            # emit INTERRUPT if exception is empty (otherwise emitted by put_writes)
-            if not interrupt.args or not interrupt.args[0]:
-                interrupt_payload = interrupt.args[0] if interrupt.args else ()
+            if exc_value is not None and (not exc_value.args or not exc_value.args[0]):
                self._emit(
                    "updates",
-                    lambda: iter([{INTERRUPT: interrupt_payload}]),
+                    lambda: iter(
+                        [{INTERRUPT: cast(GraphInterrupt, exc_value).args[0]}]
+                    ),
                )
            # save final output
            self.output = read_channels(self.channels, self.output_keys)
@@ -1184,7 +1040,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
        migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
        retry_policy: Sequence[RetryPolicy] = (),
        cache_policy: CachePolicy | None = None,
-        has_graph_lifecycle_callbacks: bool = False,
    ) -> None:
        super().__init__(
            input,
@@ -1206,7 +1061,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
            retry_policy=retry_policy,
            cache_policy=cache_policy,
            durability=durability,
-            has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
        )
        self.stack = ExitStack()
        if checkpointer:
@@ -1261,45 +1115,6 @@ 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)
@@ -1321,7 +1136,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
    # context manager

    def __enter__(self) -> Self:
-        self._graph_lifecycle_events = deque()
        if not self.checkpointer:
            saved = None
        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1373,10 +1187,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
        )
        self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
        self.channels, self.managed = channels_from_checkpoint(
-            self.specs,
-            self.checkpoint,
-            saver=self.checkpointer,
-            config=self.checkpoint_config,
+            self.specs, self.checkpoint
        )
        self.stack.push(self._suppress_interrupt)
        self.status = "input"
@@ -1425,7 +1236,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
        migrate_checkpoint: Callable[[Checkpoint], None] | None = None,
        retry_policy: Sequence[RetryPolicy] = (),
        cache_policy: CachePolicy | None = None,
-        has_graph_lifecycle_callbacks: bool = False,
    ) -> None:
        super().__init__(
            input,
@@ -1447,7 +1257,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            retry_policy=retry_policy,
            cache_policy=cache_policy,
            durability=durability,
-            has_graph_lifecycle_callbacks=has_graph_lifecycle_callbacks,
        )
        self.stack = AsyncExitStack()
        if checkpointer:
@@ -1471,11 +1280,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
        metadata: CheckpointMetadata,
        new_versions: ChannelVersions,
    ) -> RunnableConfig:
-        # Drain DeltaChannel write futures before committing the checkpoint so
-        # ancestor walks never see a checkpoint without its backing writes.
-        if self._delta_write_futs:
-            futs, self._delta_write_futs = self._delta_write_futs, []
-            await asyncio.gather(*futs)
        try:
            if prev is not None:
                await prev
@@ -1507,45 +1311,6 @@ 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)
@@ -1570,7 +1335,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
    # context manager

    async def __aenter__(self) -> Self:
-        self._graph_lifecycle_events = deque()
        if not self.checkpointer:
            saved = None
        elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
@@ -1620,15 +1384,11 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            if saved.pending_writes is not None
            else []
        )
-        self._delta_write_futs = []
        self.submit = await self.stack.enter_async_context(
            AsyncBackgroundExecutor(self.config)
        )
-        self.channels, self.managed = await achannels_from_checkpoint(
-            self.specs,
-            self.checkpoint,
-            saver=self.checkpointer,
-            config=self.checkpoint_config,
+        self.channels, self.managed = channels_from_checkpoint(
+            self.specs, self.checkpoint
        )
        self.stack.push(self._suppress_interrupt)
        self.status = "input"
@@ -24,11 +24,6 @@ try:
 except ImportError:
    _StreamingCallbackHandler = object  # type: ignore

-try:
-    from langchain_core.tracers._streaming import _V2StreamingCallbackHandler
-except ImportError:
-    _V2StreamingCallbackHandler = object  # type: ignore
-
 T = TypeVar("T")
 Meta = tuple[tuple[str, ...], dict[str, Any]]

@@ -253,126 +248,3 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
        **kwargs: Any,
    ) -> Any:
        self.metadata.pop(run_id, None)
-
-
-class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler):
-    """v2 variant of `StreamMessagesHandler`.
-
-    Declaring `_V2StreamingCallbackHandler` as a base flips
-    `BaseChatModel.invoke` to route through `_stream_chat_model_events`
-    (firing `on_stream_event`) instead of `_stream` (firing
-    `on_llm_new_token`). Inherits `on_stream_event` from the parent,
-    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
-    `CONFIG_KEY_STREAM_MESSAGES_V2` config key; direct
-    `graph.stream(stream_mode="messages")` callers keep the v1
-    AIMessageChunk shape.
-    """
-
-    def on_llm_new_token(
-        self,
-        token: str,
-        *,
-        chunk: ChatGenerationChunk | None = None,
-        run_id: UUID,
-        parent_run_id: UUID | None = None,
-        tags: list[str] | None = None,
-        **kwargs: Any,
-    ) -> Any:
-        """Intentional no-op — v1 chunks are not used on v2-flagged runs.
-
-        The v2 marker already steers `invoke` to the event generator, so
-        `on_llm_new_token` should not fire under normal routing. This
-        override stays a pass-through (no call to `super()`) to make
-        the intent explicit and to guard against any caller (e.g. a
-        node that calls `model.stream()` directly, which still fires
-        the v1 callback) leaking AIMessageChunks onto a v2-flagged
-        messages stream.
-        """
-        # 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],
-        *,
-        run_id: UUID,
-        parent_run_id: UUID | None = None,
-        tags: list[str] | None = None,
-        **kwargs: Any,
-    ) -> Any:
-        """Forward a protocol event from `stream_events(version="v3")` as a messages stream part.
-
-        Fires once per `MessagesData` event (`message-start`, per-block
-        `content-block-*`, `message-finish`). The transformer layer
-        correlates events back to a single `ChatModelStream` via
-        `metadata["run_id"]` — attached here so the v1
-        `stream_mode="messages"` output (which emits
-        `(AIMessageChunk, metadata)` via `on_llm_new_token`) keeps its
-        original metadata shape.
-
-        Lives on the v2 handler rather than the v1 base: content-block
-        events are a v2-only concept, and forwarding them only when the
-        v2 handler is attached keeps the message channel's shape
-        predictable for v1 callers.
-        """
-        if meta := self.metadata.get(run_id):
-            # Record message_id on message-start so on_chain_end's
-            # dedupe skips the finalized AIMessage the node returns
-            # (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)
-            v2_meta = {**meta[1], "run_id": str(run_id)}
-            self.stream((meta[0], "messages", (event, v2_meta)))
@@ -0,0 +1,807 @@
+"""Protocol-native content-block message handler for StreamingHandler.
+
+Emits structured content-block lifecycle events (message-start,
+content-block-start/delta/finish, message-finish) instead of raw
+``(AIMessageChunk, metadata)`` tuples.  The existing
+:class:`~langgraph.pregel._messages.StreamMessagesHandler` is NOT
+modified — this handler is only activated when
+``__protocol_messages_stream`` is ``True`` in the run's configurable.
+"""
+
+from __future__ import annotations
+
+import json
+from collections.abc import AsyncIterator, Callable, Iterator, Sequence
+from dataclasses import dataclass, field
+from typing import Any, TypeVar, cast
+from uuid import UUID, uuid4
+
+from langchain_core.callbacks import BaseCallbackHandler
+from langchain_core.messages import AIMessageChunk, BaseMessage
+from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
+
+from langgraph._internal._constants import NS_SEP
+from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
+from langgraph.pregel.protocol import StreamChunk
+from langgraph.stream._types import (
+    ContentBlockDeltaData,
+    ContentBlockFinishData,
+    ContentBlockStartData,
+    FinishReason,
+    InvalidToolCallBlock,
+    MessageErrorData,
+    MessageStartData,
+    ReasoningBlock,
+    TextBlock,
+    ToolCallBlock,
+    UsageInfo,
+)
+
+try:
+    from langchain_core.tracers._streaming import _StreamingCallbackHandler
+except ImportError:
+    _StreamingCallbackHandler = object  # type: ignore
+
+T = TypeVar("T")
+Meta = tuple[tuple[str, ...], dict[str, Any]]
+
+PROTOCOL_MESSAGES_STREAM_KEY = "__protocol_messages_stream"
+
+# ---------------------------------------------------------------------------
+# Content-block accumulation helpers
+# ---------------------------------------------------------------------------
+
+# A "compatible content block" is a dict matching one of the protocol block
+# TypedDicts (TextBlock, ReasoningBlock, ToolCallChunkBlock, etc.).
+CompatBlock = dict[str, Any]
+
+
+@dataclass
+class _ProtocolRunState:
+    """Per-run state for tracking the active message lifecycle."""
+
+    message_id: str | None = None
+    started: bool = False
+    blocks: dict[int, CompatBlock] = field(default_factory=dict)
+    usage: dict[str, Any] | None = None
+
+
+def _accumulate_block(accumulated: CompatBlock, delta: CompatBlock) -> CompatBlock:
+    """Merge *delta* into *accumulated*, returning the updated block."""
+    btype = accumulated.get("type", "text")
+    if btype == "text" and delta.get("type", "text") == "text":
+        accumulated["text"] = accumulated.get("text", "") + delta.get("text", "")
+    elif btype == "reasoning" and delta.get("type") == "reasoning":
+        accumulated["reasoning"] = accumulated.get("reasoning", "") + delta.get(
+            "reasoning", ""
+        )
+    elif btype == "tool_call_chunk" and delta.get("type") == "tool_call_chunk":
+        accumulated["args"] = accumulated.get("args", "") + delta.get("args", "")
+        if delta.get("id") is not None:
+            accumulated["id"] = delta["id"]
+        if delta.get("name") is not None:
+            accumulated["name"] = delta["name"]
+    return accumulated
+
+
+def _delta_block(previous: CompatBlock, current: CompatBlock) -> CompatBlock | None:
+    """Compute the delta between *previous* and *current*.
+
+    Returns ``None`` if there is nothing new to emit.
+    """
+    btype = current.get("type", "text")
+    if btype == "text":
+        prev_text = previous.get("text", "")
+        cur_text = current.get("text", "")
+        delta_text = cur_text[len(prev_text) :]
+        if not delta_text:
+            return None
+        return TextBlock(type="text", text=delta_text)
+    elif btype == "reasoning":
+        prev_r = previous.get("reasoning", "")
+        cur_r = current.get("reasoning", "")
+        delta_r = cur_r[len(prev_r) :]
+        if not delta_r:
+            return None
+        return ReasoningBlock(type="reasoning", reasoning=delta_r)
+    elif btype == "tool_call_chunk":
+        prev_args = previous.get("args", "")
+        cur_args = current.get("args", "")
+        delta_args = cur_args[len(prev_args) :]
+        has_meta = current.get("id") is not None or current.get("name") is not None
+        if not delta_args and not has_meta:
+            return None
+        result: CompatBlock = {"type": "tool_call_chunk", "args": delta_args}
+        if current.get("id") is not None and previous.get("id") is None:
+            result["id"] = current["id"]
+        if current.get("name") is not None and previous.get("name") is None:
+            result["name"] = current["name"]
+        return result
+    # Unrecognized block type — pass through unchanged
+    return current
+
+
+def _finalize_block(block: CompatBlock) -> CompatBlock:
+    """Convert a ``tool_call_chunk`` block to a finalized ``tool_call`` or
+    ``invalid_tool_call`` block.  Other block types pass through unchanged.
+    """
+    if block.get("type") != "tool_call_chunk":
+        return block
+    raw_args = block.get("args", "{}")
+    try:
+        parsed_args = json.loads(raw_args) if raw_args else {}
+        return ToolCallBlock(
+            type="tool_call",
+            id=block.get("id", ""),
+            name=block.get("name", ""),
+            args=parsed_args,
+        )
+    except (json.JSONDecodeError, TypeError):
+        return InvalidToolCallBlock(
+            type="invalid_tool_call",
+            id=block.get("id"),
+            name=block.get("name"),
+            args=raw_args,
+            error="Failed to parse tool call arguments as JSON",
+        )
+
+
+def _normalize_finish_reason(value: Any) -> FinishReason:
+    """Map provider-specific stop reasons to protocol finish reasons."""
+    if value == "length":
+        return "length"
+    if value == "content_filter":
+        return "content_filter"
+    if value in ("tool_use", "tool_calls"):
+        return "tool_use"
+    # "end_turn", "stop", None, and anything else → "stop"
+    return "stop"
+
+
+def _accumulate_usage(
+    current: dict[str, Any] | None, delta: Any
+) -> dict[str, Any] | None:
+    """Accumulate usage metadata from streamed chunks."""
+    if not isinstance(delta, dict):
+        return current
+    if current is None:
+        return dict(delta)
+    for key in ("input_tokens", "output_tokens", "total_tokens", "cached_tokens"):
+        if key in delta:
+            current[key] = current.get(key, 0) + delta[key]
+    # Merge detail dicts
+    for detail_key in ("input_token_details", "output_token_details"):
+        if detail_key in delta and isinstance(delta[detail_key], dict):
+            if detail_key not in current:
+                current[detail_key] = {}
+            current[detail_key].update(delta[detail_key])
+    return current
+
+
+def _to_protocol_usage(usage: dict[str, Any] | None) -> UsageInfo | None:
+    """Convert LangChain usage metadata to protocol ``UsageInfo``."""
+    if usage is None:
+        return None
+    result: dict[str, Any] = {}
+    if "input_tokens" in usage:
+        result["input_tokens"] = usage["input_tokens"]
+    if "output_tokens" in usage:
+        result["output_tokens"] = usage["output_tokens"]
+    if "total_tokens" in usage:
+        result["total_tokens"] = usage["total_tokens"]
+    if "cached_tokens" in usage:
+        result["cached_tokens"] = usage["cached_tokens"]
+    return UsageInfo(**result) if result else None
+
+
+# ---------------------------------------------------------------------------
+# Extracting content blocks from LangChain messages
+# ---------------------------------------------------------------------------
+
+
+def _extract_blocks_from_chunk(msg: AIMessageChunk) -> list[tuple[int, CompatBlock]]:
+    """Extract ``(index, block)`` pairs from an ``AIMessageChunk``.
+
+    LangChain stores content in several places:
+    - ``content: str`` — a single text block at index 0
+    - ``content: list[dict]`` — explicit content blocks with their own types
+    - ``tool_call_chunks`` — separate list for streamed tool call deltas
+    """
+    blocks: list[tuple[int, CompatBlock]] = []
+    content = msg.content
+    if isinstance(content, str) and content:
+        blocks.append((0, dict(TextBlock(type="text", text=content))))
+    elif isinstance(content, list):
+        for i, item in enumerate(content):
+            if not isinstance(item, dict):
+                continue
+            ctype = item.get("type", "")
+            if ctype == "text" and item.get("text"):
+                blocks.append(
+                    (
+                        item.get("index", i),
+                        dict(TextBlock(type="text", text=item["text"])),
+                    )
+                )
+            elif ctype in ("reasoning_content", "reasoning", "thinking"):
+                reasoning_text = (
+                    item.get("reasoning_content")
+                    or item.get("reasoning")
+                    or item.get("thinking", "")
+                )
+                if reasoning_text:
+                    blocks.append(
+                        (
+                            item.get("index", i),
+                            dict(
+                                ReasoningBlock(
+                                    type="reasoning", reasoning=reasoning_text
+                                )
+                            ),
+                        )
+                    )
+
+    # Tool call chunks live in a separate field
+    for tc in msg.tool_call_chunks or []:
+        idx = tc.get("index")
+        if idx is None:
+            # Assign indices after text content blocks
+            idx = len(blocks)
+        block: CompatBlock = {"type": "tool_call_chunk", "args": tc.get("args", "")}
+        if tc.get("id") is not None:
+            block["id"] = tc["id"]
+        if tc.get("name") is not None:
+            block["name"] = tc["name"]
+        blocks.append((idx, block))
+
+    return blocks
+
+
+# ---------------------------------------------------------------------------
+# The handler
+# ---------------------------------------------------------------------------
+
+
+class StreamProtocolMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
+    """Callback handler that emits content-block protocol events.
+
+    Activated when ``__protocol_messages_stream`` is ``True`` in the run's
+    configurable metadata.  Emits ``StreamChunk`` tuples of the form
+    ``(namespace, "messages", data)`` where *data* is one of the
+    ``MessagesData`` event types (``message-start``, ``content-block-start``,
+    etc.).
+    """
+
+    run_inline = True
+
+    def __init__(
+        self,
+        stream: Callable[[StreamChunk], None],
+        subgraphs: bool,
+        *,
+        parent_ns: tuple[str, ...] | None = None,
+    ) -> None:
+        self.stream = stream
+        self.subgraphs = subgraphs
+        self.parent_ns = parent_ns
+        # Per-run metadata: run_id → (namespace, metadata_dict)
+        self.metadata: dict[UUID, Meta] = {}
+        # Per-run protocol state for streamed messages
+        self.protocol_runs: dict[UUID, _ProtocolRunState] = {}
+        # Stable message ID mapping: run_id → message_id
+        self.stable_message_ids: dict[UUID, str] = {}
+        # Seen message IDs for deduplication of chain-emitted messages
+        self.seen: set[str | int] = set()
+
+    def _emit(self, meta: Meta, data: Any) -> None:
+        """Emit a protocol event as a StreamChunk.
+
+        The node name from *meta* is embedded at ``"__node__"`` so the
+        stream pump can lift it into ``params.node`` without changing the
+        ``StreamChunk`` tuple shape.
+        """
+        node = meta[1].get("langgraph_node")
+        if node and isinstance(data, dict):
+            data = {**data, "__node__": node}
+        self.stream((meta[0], "messages", data))
+
+    # -- Chat model callbacks -----------------------------------------------
+
+    def on_chat_model_start(
+        self,
+        serialized: dict[str, Any],
+        messages: list[list[BaseMessage]],
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        tags: list[str] | None = None,
+        metadata: dict[str, Any] | None = None,
+        **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
+            ]
+            if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
+                return
+            if tags:
+                if filtered := [t for t in tags if not t.startswith("seq:step")]:
+                    metadata["tags"] = filtered
+            self.metadata[run_id] = (ns, metadata)
+            self.protocol_runs[run_id] = _ProtocolRunState()
+
+    def on_llm_new_token(
+        self,
+        token: str,
+        *,
+        chunk: ChatGenerationChunk | None = None,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        tags: list[str] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        if not isinstance(chunk, ChatGenerationChunk):
+            return
+        meta = self.metadata.get(run_id)
+        if meta is None:
+            return
+        state = self.protocol_runs.get(run_id)
+        if state is None:
+            return
+
+        msg = chunk.message
+        if not isinstance(msg, AIMessageChunk):
+            return
+
+        # Emit message-start on first token
+        if not state.started:
+            message_id = self._normalize_message_id(msg, run_id)
+            state.message_id = message_id
+            state.started = True
+            start_data = dict(
+                MessageStartData(
+                    event="message-start",
+                    role="ai",
+                )
+            )
+            if message_id:
+                start_data["message_id"] = message_id
+            self._emit(meta, start_data)
+
+        # Extract content blocks from this chunk
+        extracted = _extract_blocks_from_chunk(msg)
+        for idx, delta_block in extracted:
+            if idx not in state.blocks:
+                # New block — emit content-block-start
+                state.blocks[idx] = dict(delta_block)
+                # Start block has empty content placeholder
+                start_block = _make_start_block(delta_block)
+                self._emit(
+                    meta,
+                    ContentBlockStartData(
+                        event="content-block-start",
+                        index=idx,
+                        content_block=start_block,
+                    ),
+                )
+                # Then emit the first delta
+                first_delta = _delta_block(
+                    _make_start_block(delta_block), state.blocks[idx]
+                )
+                if first_delta is not None:
+                    self._emit(
+                        meta,
+                        ContentBlockDeltaData(
+                            event="content-block-delta",
+                            index=idx,
+                            content_block=first_delta,
+                        ),
+                    )
+            else:
+                # Existing block — compute delta, accumulate, emit
+                previous = dict(state.blocks[idx])
+                state.blocks[idx] = _accumulate_block(state.blocks[idx], delta_block)
+                delta = _delta_block(previous, state.blocks[idx])
+                if delta is not None:
+                    self._emit(
+                        meta,
+                        ContentBlockDeltaData(
+                            event="content-block-delta",
+                            index=idx,
+                            content_block=delta,
+                        ),
+                    )
+
+        # Accumulate usage from chunk
+        if msg.usage_metadata:
+            state.usage = _accumulate_usage(state.usage, msg.usage_metadata)
+
+    def on_llm_end(
+        self,
+        response: LLMResult,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        meta = self.metadata.pop(run_id, None)
+        state = self.protocol_runs.pop(run_id, None)
+        if meta is None or state is None:
+            return
+
+        # Extract finish reason and usage from the final generation
+        finish_reason: FinishReason = "stop"
+        final_usage = state.usage
+
+        if response.generations and response.generations[0]:
+            gen = response.generations[0][0]
+            if isinstance(gen, ChatGeneration):
+                final_msg = gen.message
+                # Get finish reason from response_metadata
+                rm = getattr(final_msg, "response_metadata", {}) or {}
+                raw_reason = rm.get("finish_reason") or rm.get("stop_reason")
+                if raw_reason:
+                    finish_reason = _normalize_finish_reason(raw_reason)
+                # If we have tool calls in the final message, infer tool_use
+                if (
+                    finish_reason == "stop"
+                    and hasattr(final_msg, "tool_calls")
+                    and final_msg.tool_calls
+                ):
+                    finish_reason = "tool_use"
+                # Get usage from final message if not accumulated from chunks
+                if final_usage is None and hasattr(final_msg, "usage_metadata"):
+                    final_usage = (
+                        dict(final_msg.usage_metadata)
+                        if final_msg.usage_metadata
+                        else None
+                    )
+
+                # If we never got streaming tokens (non-streamed model call),
+                # emit the full message lifecycle now
+                if not state.started:
+                    self._emit_full_message(meta, final_msg, finish_reason, final_usage)
+                    return
+
+        # Close out any open content blocks
+        for idx in sorted(state.blocks):
+            finalized = _finalize_block(state.blocks[idx])
+            self._emit(
+                meta,
+                ContentBlockFinishData(
+                    event="content-block-finish",
+                    index=idx,
+                    content_block=finalized,
+                ),
+            )
+
+        # Emit message-finish
+        finish_data: dict[str, Any] = {
+            "event": "message-finish",
+            "reason": finish_reason,
+        }
+        usage_info = _to_protocol_usage(final_usage)
+        if usage_info is not None:
+            finish_data["usage"] = usage_info
+        self._emit(meta, finish_data)
+
+        # Track the message as seen for dedup
+        if state.message_id:
+            self.seen.add(state.message_id)
+
+    def on_llm_error(
+        self,
+        error: BaseException,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        meta = self.metadata.pop(run_id, None)
+        state = self.protocol_runs.pop(run_id, None)
+        self.stable_message_ids.pop(run_id, None)
+        if meta is None or state is None:
+            return
+        if state.started:
+            self._emit(
+                meta,
+                MessageErrorData(
+                    event="error",
+                    message=str(error),
+                ),
+            )
+
+    # -- Chain callbacks (for node-level message dedup) ---------------------
+
+    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:
+        if (
+            metadata
+            and kwargs.get("name") == metadata.get("langgraph_node")
+            and (not tags or TAG_HIDDEN not in tags)
+        ):
+            ns = tuple(cast(str, metadata["langgraph_checkpoint_ns"]).split(NS_SEP))[
+                :-1
+            ]
+            if not self.subgraphs and len(ns) > 0:
+                return
+            self.metadata[run_id] = (ns, metadata)
+            # Record input message IDs for deduplication
+            self._record_seen_messages(inputs)
+
+    def on_chain_end(
+        self,
+        response: Any,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        meta = self.metadata.pop(run_id, None)
+        if meta is None:
+            return
+        # Emit protocol events for any new messages in the node's output
+        self._emit_chain_messages(meta, response)
+
+    def on_chain_error(
+        self,
+        error: BaseException,
+        *,
+        run_id: UUID,
+        parent_run_id: UUID | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        self.metadata.pop(run_id, None)
+
+    # -- Iterator taps (required by _StreamingCallbackHandler) ---------------
+
+    def tap_output_aiter(
+        self, run_id: UUID, output: AsyncIterator[T]
+    ) -> AsyncIterator[T]:
+        return output
+
+    def tap_output_iter(self, run_id: UUID, output: Iterator[T]) -> Iterator[T]:
+        return output
+
+    # -- Internal helpers ---------------------------------------------------
+
+    def _normalize_message_id(self, msg: BaseMessage, run_id: UUID) -> str | None:
+        """Return a stable message ID for this run, creating one if needed."""
+        msg_id = msg.id
+        if msg_id is None:
+            msg_id = self.stable_message_ids.get(run_id)
+        if msg_id is None:
+            msg_id = f"run-{run_id}"
+        self.stable_message_ids[run_id] = msg_id
+        # Mutate the message for consistency downstream
+        if msg.id != msg_id:
+            msg.id = msg_id
+        return msg_id
+
+    def _emit_full_message(
+        self,
+        meta: Meta,
+        msg: BaseMessage,
+        finish_reason: FinishReason,
+        usage: dict[str, Any] | None,
+        role: str = "ai",
+    ) -> None:
+        """Emit a complete message lifecycle for a non-streamed model call."""
+        message_id = msg.id or str(uuid4())
+        if message_id in self.seen:
+            return
+        self.seen.add(message_id)
+
+        # message-start
+        start_data = dict(
+            MessageStartData(
+                event="message-start",
+                role=role,
+            )
+        )
+        start_data["message_id"] = message_id
+        self._emit(meta, start_data)
+
+        # Extract all blocks from the final message
+        blocks = _extract_final_blocks(msg)
+        for idx, block in blocks:
+            # content-block-start with the full content
+            self._emit(
+                meta,
+                ContentBlockStartData(
+                    event="content-block-start",
+                    index=idx,
+                    content_block=_make_start_block(block),
+                ),
+            )
+            # content-block-delta with the full content
+            delta = _delta_block(_make_start_block(block), block)
+            if delta is not None:
+                self._emit(
+                    meta,
+                    ContentBlockDeltaData(
+                        event="content-block-delta",
+                        index=idx,
+                        content_block=delta,
+                    ),
+                )
+            # content-block-finish
+            finalized = _finalize_block(block)
+            self._emit(
+                meta,
+                ContentBlockFinishData(
+                    event="content-block-finish",
+                    index=idx,
+                    content_block=finalized,
+                ),
+            )
+
+        # message-finish
+        finish_data: dict[str, Any] = {
+            "event": "message-finish",
+            "reason": finish_reason,
+        }
+        usage_info = _to_protocol_usage(usage)
+        if usage_info is not None:
+            finish_data["usage"] = usage_info
+        self._emit(meta, finish_data)
+
+    def _record_seen_messages(self, obj: Any) -> None:
+        """Record message IDs from node inputs for deduplication."""
+        if isinstance(obj, BaseMessage):
+            if obj.id is not None:
+                self.seen.add(obj.id)
+        elif isinstance(obj, dict):
+            for value in obj.values():
+                self._record_seen_messages(value)
+        elif isinstance(obj, Sequence) and not isinstance(obj, (str, bytes)):
+            for item in obj:
+                self._record_seen_messages(item)
+
+    def _emit_chain_messages(self, meta: Meta, response: Any) -> None:
+        """Emit protocol events for messages found in chain output."""
+        from langgraph.types import Command
+
+        if isinstance(response, Command):
+            self._emit_chain_messages(meta, response.update)
+        elif isinstance(response, BaseMessage):
+            self._emit_message_from_chain(meta, response)
+        elif isinstance(response, Sequence) and not isinstance(response, (str, bytes)):
+            for item in response:
+                if isinstance(item, Command):
+                    self._emit_chain_messages(meta, item.update)
+                elif isinstance(item, BaseMessage):
+                    self._emit_message_from_chain(meta, item)
+        elif isinstance(response, dict):
+            for value in response.values():
+                if isinstance(value, BaseMessage):
+                    self._emit_message_from_chain(meta, value)
+                elif isinstance(value, Sequence) and not isinstance(
+                    value, (str, bytes)
+                ):
+                    for item in value:
+                        if isinstance(item, BaseMessage):
+                            self._emit_message_from_chain(meta, item)
+
+    def _emit_message_from_chain(self, meta: Meta, msg: BaseMessage) -> None:
+        """Emit a full message lifecycle for a message from a chain output,
+        deduplicating against previously-seen messages."""
+        if msg.id is not None and msg.id in self.seen:
+            return
+        if msg.id is None:
+            msg.id = str(uuid4())
+
+        # Determine role and finish reason
+        role = "ai"
+        if hasattr(msg, "type"):
+            if msg.type == "human":
+                role = "human"
+            elif msg.type == "system":
+                role = "system"
+
+        finish_reason: FinishReason = "stop"
+        rm = getattr(msg, "response_metadata", {}) or {}
+        raw_reason = rm.get("finish_reason") or rm.get("stop_reason")
+        if raw_reason:
+            finish_reason = _normalize_finish_reason(raw_reason)
+        if finish_reason == "stop" and hasattr(msg, "tool_calls") and msg.tool_calls:
+            finish_reason = "tool_use"
+
+        raw_usage = getattr(msg, "usage_metadata", None)
+        usage = dict(raw_usage) if raw_usage else None
+
+        self._emit_full_message(meta, msg, finish_reason, usage, role=role)
+
+
+# ---------------------------------------------------------------------------
+# Block extraction for finalized (non-streamed) messages
+# ---------------------------------------------------------------------------
+
+
+def _extract_final_blocks(msg: BaseMessage) -> list[tuple[int, CompatBlock]]:
+    """Extract ``(index, block)`` pairs from a finalized ``AIMessage``."""
+    blocks: list[tuple[int, CompatBlock]] = []
+    content = msg.content
+
+    if isinstance(content, str) and content:
+        blocks.append((0, dict(TextBlock(type="text", text=content))))
+    elif isinstance(content, list):
+        for i, item in enumerate(content):
+            if not isinstance(item, dict):
+                continue
+            ctype = item.get("type", "")
+            if ctype == "text" and item.get("text"):
+                blocks.append((i, dict(TextBlock(type="text", text=item["text"]))))
+            elif ctype in ("reasoning_content", "reasoning", "thinking"):
+                reasoning_text = (
+                    item.get("reasoning_content")
+                    or item.get("reasoning")
+                    or item.get("thinking", "")
+                )
+                if reasoning_text:
+                    blocks.append(
+                        (
+                            i,
+                            dict(
+                                ReasoningBlock(
+                                    type="reasoning", reasoning=reasoning_text
+                                )
+                            ),
+                        )
+                    )
+
+    # Finalized tool calls (already parsed, not chunks)
+    for tc in getattr(msg, "tool_calls", None) or []:
+        idx = len(blocks)
+        blocks.append(
+            (
+                idx,
+                dict(
+                    ToolCallBlock(
+                        type="tool_call",
+                        id=tc.get("id", ""),
+                        name=tc.get("name", ""),
+                        args=tc.get("args", {}),
+                    )
+                ),
+            )
+        )
+
+    return blocks
+
+
+def _make_start_block(block: CompatBlock) -> CompatBlock:
+    """Create an empty start placeholder for a content block."""
+    btype = block.get("type", "text")
+    if btype == "text":
+        return TextBlock(type="text", text="")
+    elif btype == "reasoning":
+        return ReasoningBlock(type="reasoning", reasoning="")
+    elif btype == "tool_call_chunk":
+        result: CompatBlock = {"type": "tool_call_chunk", "args": ""}
+        if "id" in block:
+            result["id"] = block["id"]
+        if "name" in block:
+            result["name"] = block["name"]
+        return result
+    elif btype == "tool_call":
+        # Already finalized — return as-is for start event
+        return ToolCallBlock(
+            type="tool_call",
+            id=block.get("id", ""),
+            name=block.get("name", ""),
+            args=block.get("args", {}),
+        )
+    return dict(block)
+
+
+__all__ = ["PROTOCOL_MESSAGES_STREAM_KEY", "StreamProtocolMessagesHandler"]
@@ -1,7 +1,6 @@
 from __future__ import annotations

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

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

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

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

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

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

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

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

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


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

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

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


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

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

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

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

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

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

-_SEQUENCE_TYPES = (RunnableSeq, RunnableSequence)
-

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


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

@@ -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 +1,45 @@
-"""Streaming infrastructure for LangGraph.
+"""Stream protocol types and 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
-graph's raw events into ergonomic per-channel streams.
-"""
-
-from langgraph.stream._types import ProtocolEvent, StreamTransformer
+from langgraph.stream._convert import STREAM_V2_MODES, convert_to_protocol_event
+from langgraph.stream._mux import AsyncStreamMux, StreamMux
+from langgraph.stream._types import (
+    InterruptPayload,
+    ProtocolEvent,
+    StreamTransformer,
+)
+from langgraph.stream.chat_model_stream import AsyncChatModelStream, ChatModelStream
 from langgraph.stream.run_stream import (
    AsyncGraphRunStream,
    AsyncSubgraphRunStream,
    GraphRunStream,
-    SubgraphRunStream,
+    create_async_graph_run_stream,
+    create_graph_run_stream,
 )
-from langgraph.stream.stream_channel import StreamChannel
+from langgraph.stream.stream_channel import StreamChannel, is_stream_channel
+from langgraph.stream.streaming_handler import StreamingHandler
 from langgraph.stream.transformers import (
-    CheckpointsTransformer,
-    CustomTransformer,
-    DebugTransformer,
-    LifecyclePayload,
-    LifecycleTransformer,
-    SubgraphStatus,
-    SubgraphTransformer,
-    TasksTransformer,
-    UpdatesTransformer,
+    MessagesTransformer,
+    ValuesTransformer,
 )

 __all__ = [
+    "STREAM_V2_MODES",
+    "AsyncChatModelStream",
    "AsyncGraphRunStream",
+    "AsyncStreamMux",
    "AsyncSubgraphRunStream",
-    "CheckpointsTransformer",
-    "CustomTransformer",
-    "DebugTransformer",
+    "ChatModelStream",
    "GraphRunStream",
-    "LifecyclePayload",
-    "LifecycleTransformer",
+    "InterruptPayload",
+    "MessagesTransformer",
    "ProtocolEvent",
    "StreamChannel",
+    "StreamMux",
    "StreamTransformer",
-    "SubgraphRunStream",
-    "SubgraphStatus",
-    "SubgraphTransformer",
-    "TasksTransformer",
-    "UpdatesTransformer",
+    "StreamingHandler",
+    "ValuesTransformer",
+    "convert_to_protocol_event",
+    "create_async_graph_run_stream",
+    "create_graph_run_stream",
+    "is_stream_channel",
 ]
@@ -1,32 +1,67 @@
+"""Convert raw ``StreamChunk`` tuples to ``ProtocolEvent`` envelopes.
+
+Each ``StreamMode`` is mapped to a ``ProtocolEvent`` whose ``method``
+field matches the mode name and whose ``params.data`` wraps the
+original payload.
+"""
+
 from __future__ import annotations

-import time
-from typing import Any, cast
+from typing import Any

 from langgraph.stream._types import ProtocolEvent, _ProtocolEventParams
-from langgraph.types import StreamPart
+from langgraph.types import StreamMode
+
+#: All stream modes requested by ``StreamingHandler`` when calling the
+#: underlying ``stream()`` / ``astream()``.
+STREAM_V2_MODES: list[StreamMode] = [
+    "values",
+    "updates",
+    "messages",
+    "custom",
+    "checkpoints",
+    "tasks",
+    "debug",
+]
+
+_SUPPORTED_MODES: set[str] = set(STREAM_V2_MODES)


-def convert_to_protocol_event(part: StreamPart) -> ProtocolEvent:
-    """Convert a v2 StreamPart to a ProtocolEvent.
+def convert_to_protocol_event(
+    ns: tuple[str, ...],
+    mode: str,
+    payload: Any,
+    *,
+    node: str | None = None,
+) -> ProtocolEvent | None:
+    """Convert a ``StreamChunk`` to a ``ProtocolEvent``.
+
+    Returns ``None`` for unsupported or unknown modes.
+
+    The ``seq`` field is left as ``0`` here; the :class:`StreamMux` is
+    the sole seq assigner and overwrites it inside ``push()``.

    Args:
-        part: A stream part with keys `type`, `ns`, `data`, and
-            optionally `interrupts` (present on values events).
-
-    Returns:
-        The equivalent ProtocolEvent.
+        ns: Namespace tuple from the ``StreamChunk``.
+        mode: Stream mode string (``"values"``, ``"updates"``, etc.).
+        payload: The raw payload from the stream.
+        node: Optional node name for provenance.
    """
-    part_dict = cast(dict[str, Any], part)
+    if mode not in _SUPPORTED_MODES:
+        return None
+
    params: _ProtocolEventParams = {
-        "namespace": list(part_dict["ns"]),
-        "timestamp": int(time.time() * 1000),
-        "data": part_dict["data"],
-    }
-    if "interrupts" in part_dict:
-        params["interrupts"] = part_dict["interrupts"]
-    return {
-        "type": "event",
-        "method": part_dict["type"],
-        "params": params,
+        "namespace": list(ns),
+        "data": payload,
    }
+    if node is not None:
+        params["node"] = node
+
+    return ProtocolEvent(
+        type="event",
+        method=mode,
+        params=params,
+    )
+
+
+__all__ = ["STREAM_V2_MODES", "convert_to_protocol_event"]
@@ -1,498 +1,385 @@
+"""Central event dispatcher with transformer pipeline for StreamingHandler.
+
+``StreamMux`` is the synchronous core: it holds the main
+event log (a plain list), tracks discovered namespaces for subgraph stream
+creation, and pipes every event through the registered
+:class:`StreamTransformer` pipeline before appending it to the log.
+
+``AsyncStreamMux`` extends ``StreamMux`` with async consumer APIs
+(output futures, async event subscriptions, subgraph discovery).
+"""
+
 from __future__ import annotations

 import asyncio
-import time
-from collections.abc import Awaitable, Callable
+from collections.abc import AsyncIterator
 from typing import Any

-from langgraph.stream._types import (
-    ProtocolEvent,
-    StreamTransformer,
-    transformer_requires_async,
-)
-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=...)`.
-"""
+from langgraph.stream._types import InterruptPayload, ProtocolEvent, StreamTransformer
+from langgraph.stream.stream_channel import StreamChannel, is_stream_channel


 class StreamMux:
-    """Central event dispatcher for the streaming infrastructure.
+    """Synchronous event dispatcher for the StreamingHandler 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.
+    The mux owns the main event log, applies the transformer pipeline to
+    every incoming event, and tracks namespace discovery and latest values.

-    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.
-
-    Attributes:
-        extensions: Merged projection dict across all registered
-            transformers. Treat as read-only — mutations won't be
-            reflected back in individual transformers' state.
-        native_keys: Projection keys contributed by transformers with
-            `_native = True`.
+    For async consumer APIs (output futures, async event subscriptions,
+    subgraph discovery) use :class:`AsyncStreamMux`.
    """

-    def __init__(
-        self,
-        transformers: list[StreamTransformer] | None = None,
-        *,
-        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.
+    def __init__(self, transformers: list[StreamTransformer] | None = None) -> None:
+        self._event_log: list[ProtocolEvent] = []
+        self._transformers: list[StreamTransformer] = list(transformers or [])
+        self._current_namespace: list[str] = []
+        self._next_emit_seq: int = 0

-        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.
+        # Namespace discovery: maps top-level ns segment → True
+        self._discovered_ns: dict[str, bool] = {}

-        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.
-            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.
-            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.
+        # Latest values per namespace (list-of-strings key)
+        self._latest_values: dict[str, Any] = {}

-        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.
-        """
-        self.is_async = is_async
-        self.scope: tuple[str, ...] = scope
-        self._assign_seq = _assign_seq
-        self._events: StreamChannel[ProtocolEvent] = StreamChannel()
-        self._events._bind(is_async=is_async)
-        self._events._bind_mux(self)
-        self._transformers: list[StreamTransformer] = []
-        self._channels: list[StreamChannel[Any]] = []
-        self._seq = 0
-        self._push_seq = 0
+        # Interrupt tracking
+        self._interrupts: list[InterruptPayload] = []
+        self._interrupted = False

-        self.extensions: dict[str, Any] = {}
-        self.native_keys: set[str] = set()
-        self._projection_owners: dict[str, str] = {}
-        self._transformer_by_key: dict[str, StreamTransformer] = {}
+        # Closed state
+        self._closed = False
+        self._error: BaseException | None = None

-        # 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)
-
-    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 _next_push_seq(self) -> int:
-        self._push_seq += 1
-        return self._push_seq
-
-    # ------------------------------------------------------------------
-    # Pump wiring + mini-mux nesting
-    # ------------------------------------------------------------------
-
-    def bind_pump(self, fn: Callable[[], bool]) -> None:
-        """Wire the sync pull callback onto every projection in this 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)
-        """
-        self._pump_fn = fn
-        self._events._request_more = fn
-        for ch in self._channels:
-            ch._request_more = fn
-        for transformer in self._transformers:
-            bind = getattr(transformer, "_bind_pump", None)
-            if bind is not None:
-                bind(fn)
-
-    def bind_apump(self, fn: Callable[[], Awaitable[bool]]) -> None:
-        """Async counterpart to `bind_pump`."""
-        self._apump_fn = fn
-        self._events._arequest_more = fn
-        for ch in self._channels:
-            ch._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`.
-        """
-        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 "
-                "requires_async=True. Use astream(), not stream()."
-            )
-        projection = transformer.init()
-        if not isinstance(projection, dict):
-            raise TypeError(
-                f"StreamTransformer.init() must return a dict, "
-                f"got {type(projection).__name__}"
-            )
-        conflicts = set(projection) & set(self.extensions)
-        if conflicts:
-            attributions = ", ".join(
-                f"{key!r} (owned by {self._projection_owners[key]})"
-                for key in sorted(conflicts)
-            )
-            raise ValueError(
-                f"Transformer {type(transformer).__name__} returned "
-                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.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:
-            self.native_keys.update(projection.keys())
-        transformer._on_register(self)
+    # -- Producer API -------------------------------------------------------

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

-        Each transformer's `process()` is called in registration order.
-        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.
-
-        Args:
-            event: The protocol event to dispatch.
+        Each registered transformer's ``process()`` is called in order.
+        If any transformer returns ``False``, the event is suppressed
+        (not appended to the main log).
        """
+        if self._closed:
+            return
+
+        # Mux is the sole seq assigner — ensures all events in the log
+        # (including those from StreamChannel forwarders) share a single
+        # monotonically increasing counter.
+        event["seq"] = self._next_emit_seq
+        self._next_emit_seq += 1
+
+        # Track namespace
+        ns = event["params"].get("namespace", [])
+        if ns:
+            top_segment = ns[0]
+            if top_segment not in self._discovered_ns:
+                self._discovered_ns[top_segment] = True
+
+        # Track values
+        if event["method"] == "values":
+            ns_key = _ns_key(ns)
+            self._latest_values[ns_key] = event["params"]["data"]
+
+        # Track interrupts from values events
+        if event["method"] == "values":
+            data = event["params"]["data"]
+            if isinstance(data, dict) and "__interrupt__" in data:
+                interrupt_info = data["__interrupt__"]
+                if isinstance(interrupt_info, (list, tuple)):
+                    for item in interrupt_info:
+                        iid = getattr(item, "id", None) or str(id(item))
+                        self._interrupts.append(
+                            InterruptPayload(
+                                interrupt_id=iid,
+                                payload=item,
+                            )
+                        )
+                    self._interrupted = True
+
+        # Run transformer pipeline
+        self._current_namespace = ns
        keep = True
        for transformer in self._transformers:
-            if not transformer.process(event):
+            result = transformer.process(event)
+            if result is False:
                keep = False
+        self._current_namespace = []
+
+        # Append to main log if not suppressed
        if keep:
-            if self._assign_seq:
-                self._seq += 1
-                event["seq"] = self._seq
-            self._events.push(event)
+            self._event_log.append(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.
-
-        Raises:
-            BaseException: The first error raised by a transformer's
-                `finalize()`, re-raised after cleanup finishes.
-        """
-        first_error: BaseException | None = None
-        for transformer in self._transformers:
-            try:
-                transformer.finalize()
-            except BaseException as e:
-                if first_error is None:
-                    first_error = e
-        for ch in self._channels:
-            if not ch._closed:
-                ch.close()
-        self._events.close()
-        if first_error is not None:
-            raise first_error
-
-    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.
-
-        Args:
-            err: The exception that ended the run.
-        """
-        for transformer in self._transformers:
-            try:
-                transformer.fail(err)
-            except BaseException:
-                pass
-        for ch in self._channels:
-            if not ch._closed:
-                ch.fail(err)
-        self._events.fail(err)
-
-    # ------------------------------------------------------------------
-    # Async dispatch
-    # ------------------------------------------------------------------
-
-    async def apush(self, event: ProtocolEvent) -> None:
-        """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.
-
-        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.
-
-        Args:
-            event: The protocol event to dispatch.
-        """
-        keep = True
-        for transformer in self._transformers:
-            if not await transformer.aprocess(event):
-                keep = False
-        if keep:
-            if self._assign_seq:
-                self._seq += 1
-                event["seq"] = self._seq
-            self._events.push(event)
-
-    async def aclose(self) -> None:
-        """Finalize on the async lane.
-
-        Awaits every task started via `StreamTransformer.schedule()`
-        across all transformers, then calls `afinalize()` on each,
-        then auto-closes channels and the main event log.
-
-        If any scheduled task raised under `on_error="raise"`, or any
-        transformer's `afinalize` raises, the exception propagates.
-        The caller (the pump) handles it by routing into `afail`.
-
-        Raises:
-            BaseException: The first scheduled-task or `afinalize`
-                error, re-raised after cleanup.
-        """
-        pending = self._collect_scheduled_tasks()
-        if pending:
-            results = await asyncio.gather(*pending, return_exceptions=True)
-            first_err = next(
-                (
-                    r
-                    for r in results
-                    if isinstance(r, BaseException)
-                    and not isinstance(r, asyncio.CancelledError)
-                ),
-                None,
-            )
-            if first_err is not None:
-                raise first_err
-
-        first_error: BaseException | None = None
-        for transformer in self._transformers:
-            try:
-                await transformer.afinalize()
-            except BaseException as e:
-                if first_error is None:
-                    first_error = e
-        for ch in self._channels:
-            if not ch._closed:
-                ch.close()
-        self._events.close()
-        if first_error is not None:
-            raise first_error
-
-    async def afail(self, err: BaseException) -> None:
-        """Fail on the async lane.
-
-        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.
-
-        Args:
-            err: The exception that ended the run.
-        """
-        pending = self._collect_scheduled_tasks()
-        for task in pending:
-            task.cancel()
-        if pending:
-            await asyncio.gather(*pending, return_exceptions=True)
+    def close(self, output: Any = None) -> None:
+        """Close the mux and finalize all transformers."""
+        if self._closed:
+            return
+        self._closed = True

        for transformer in self._transformers:
-            try:
-                await transformer.afail(err)
-            except BaseException:
-                pass
-        for ch in self._channels:
-            if not ch._closed:
-                ch.fail(err)
-        if not self._events._closed:
-            self._events.fail(err)
+            transformer.finalize()

-    def _collect_scheduled_tasks(self) -> list[asyncio.Task[Any]]:
-        """Return a snapshot of in-flight tasks scheduled via transformers."""
-        return [
-            task
-            for transformer in self._transformers
-            for task in getattr(transformer, "_stream_scheduled_tasks", ())
-            if not task.done()
-        ]
+    def fail(self, error: BaseException) -> None:
+        """Fail the mux and propagate the error to all consumers."""
+        if self._closed:
+            return
+        self._closed = True
+        self._error = error

-    # ------------------------------------------------------------------
-    # Binding and StreamChannel auto-wiring
-    # ------------------------------------------------------------------
+        for transformer in self._transformers:
+            transformer.fail(error)

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

-        All StreamChannels are bound and tracked. Channels with a name
-        are additionally wired for protocol auto-forwarding.
+    @property
+    def interrupted(self) -> bool:
+        return self._interrupted

-        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:`.
+    @property
+    def interrupts(self) -> list[InterruptPayload]:
+        return list(self._interrupts)
+
+    @property
+    def event_log(self) -> list[ProtocolEvent]:
+        return self._event_log
+
+    def get_latest_values(self, ns: list[str] | None = None) -> Any:
+        """Return the most recent values for a namespace."""
+        return self._latest_values.get(_ns_key(ns or []))
+
+    # -- Internal -----------------------------------------------------------
+
+    def register_transformer(self, transformer: StreamTransformer) -> None:
+        """Register a new transformer and replay all buffered events through it.
+
+        This is the safe way to add a late-arriving transformer after the mux
+        has already started processing events.  The sequence is:
+
+        1. Snapshot the current log length.
+        2. Append the transformer so future ``push()`` calls reach it.
+        3. Replay events ``[0, snapshot)`` through the transformer.
+        4. If the mux is already closed, call ``finalize()`` immediately so
+           the transformer's log/channel terminates cleanly.
+
+        No namespace filtering is applied — all buffered events are
+        replayed.  Transformers that need namespace filtering should do
+        so inside their ``process()`` implementation.
        """
-        for value in projection.values():
-            if isinstance(value, StreamChannel):
-                value._bind(is_async=self.is_async)
-                value._bind_mux(self)
-                self._channels.append(value)
-                if value.name is not None:
-                    method = value.name if native else f"custom:{value.name}"
+        snapshot = len(self._event_log)
+        self._transformers.append(transformer)
+        for i in range(snapshot):
+            transformer.process(self._event_log[i])
+        if self._closed:
+            transformer.finalize()

-                    def _make_forward(method_name: str) -> Callable[[Any], None]:
-                        def _forward(item: Any) -> None:
-                            self._forward(method_name, item)
+    def wire_channels(self, projection: Any) -> None:
+        """Scan *projection* for :class:`StreamChannel` instances and wire them.

-                        return _forward
+        For each ``StreamChannel`` found, registers a push callback that
+        appends a :class:`ProtocolEvent` directly to the main event log
+        with ``method`` set to the channel's name.

-                    value._wire(_make_forward(method))
-
-    def _forward(self, method: 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.
+        Channel events bypass the transformer pipeline (matching the JS
+        implementation).  They are visible to raw event iteration and
+        remote SDK clients but not to other transformers' ``process()``.
        """
-        event: ProtocolEvent = {
-            "type": "event",
-            "method": method,
-            "params": {
-                "namespace": [],
-                "timestamp": int(time.time() * 1000),
-                "data": item,
-            },
-        }
-        if self._assign_seq:
-            self._seq += 1
-            event["seq"] = self._seq
-        self._events.push(event)
+        if projection is None:
+            return
+        items: dict[str, Any] = {}
+        if isinstance(projection, dict):
+            items = projection
+        elif hasattr(projection, "__dict__"):
+            items = vars(projection)
+        for _key, value in items.items():
+            if is_stream_channel(value):
+                channel: StreamChannel[Any] = value
+                def _make_forwarder(ch: StreamChannel[Any]) -> Any:
+                    def _forward(item: Any) -> None:
+                        if self._closed:
+                            return
+                        # Append directly to the event log, bypassing
+                        # the transformer pipeline.  This matches the JS
+                        # implementation and avoids re-entrancy bugs
+                        # (namespace clobbering, infinite recursion).
+                        self._event_log.append(
+                            ProtocolEvent(
+                                type="event",
+                                seq=self._next_emit_seq,
+                                method=ch.channel_name,
+                                params={
+                                    "namespace": list(self._current_namespace),
+                                    "data": item,
+                                },
+                            )
+                        )
+                        self._next_emit_seq += 1
+
+                    return _forward
+
+                channel._wire(_make_forwarder(channel))
+
+
+# ---------------------------------------------------------------------------
+# AsyncStreamMux — async consumer APIs on top of the sync core
+# ---------------------------------------------------------------------------
+
+
+class AsyncStreamMux(StreamMux):
+    """Async extension of :class:`StreamMux`.
+
+    Adds output futures, async event subscriptions, and subgraph
+    discovery on top of the synchronous producer/transformer core.
+    """
+
+    def __init__(self, transformers: list[StreamTransformer] | None = None) -> None:
+        super().__init__(transformers=transformers)
+        # Notification event — set on every push/close/fail to wake async consumers
+        self._notify: asyncio.Event = asyncio.Event()
+        # Waiters for new namespace discovery
+        self._ns_waiters: list[asyncio.Future[None]] = []
+        # Output promise tracking
+        self._output_futures: dict[str, asyncio.Future[Any]] = {}
+
+    # -- Producer overrides (extend to resolve async primitives) -------------
+
+    def push(self, event: ProtocolEvent) -> None:
+        # Peek at namespace before super().push() so we can detect new
+        # discoveries and wake waiters.
+        ns = event["params"].get("namespace", [])
+        is_new_ns = bool(ns) and ns[0] not in self._discovered_ns
+        super().push(event)
+        if is_new_ns and ns[0] in self._discovered_ns:
+            self._wake_ns_waiters()
+        self._notify.set()
+
+    def close(self, output: Any = None) -> None:
+        super().close(output)
+        self._notify.set()
+        # Resolve output futures
+        for ns_key, fut in self._output_futures.items():
+            if not fut.done():
+                value = self._latest_values.get(ns_key)
+                try:
+                    fut.get_loop().call_soon_threadsafe(fut.set_result, value)
+                except RuntimeError:
+                    pass
+        # Wake namespace waiters
+        self._wake_ns_waiters()
+
+    def fail(self, error: BaseException) -> None:
+        super().fail(error)
+        self._notify.set()
+        # Reject output futures
+        for fut in self._output_futures.values():
+            if not fut.done():
+                try:
+                    fut.get_loop().call_soon_threadsafe(fut.set_exception, error)
+                except RuntimeError:
+                    pass
+        # Wake namespace waiters
+        self._wake_ns_waiters()
+
+    # -- Async consumer API -------------------------------------------------
+
+    async def subscribe_events(
+        self, path: list[str] | None = None, offset: int = 0
+    ) -> AsyncIterator[ProtocolEvent]:
+        """Async iterate over events matching *path*.
+
+        If *path* is ``None`` or empty, all events are yielded.
+        Otherwise, only events whose namespace starts with *path*
+        are yielded.
+
+        Uses the list + ``asyncio.Event`` notification pattern: poll
+        the event log, yield what's new, await the notify event for more.
+        """
+        cursor = offset
+        while True:
+            while cursor < len(self._event_log):
+                event = self._event_log[cursor]
+                cursor += 1
+                if not path or _ns_starts_with(
+                    event["params"].get("namespace", []), path
+                ):
+                    yield event
+            if self._closed:
+                if self._error is not None:
+                    raise self._error
+                return
+            self._notify.clear()
+            await self._notify.wait()
+
+    async def subscribe_subgraphs(
+        self, path: list[str] | None = None, offset: int = 0
+    ) -> AsyncIterator[str]:
+        """Yield top-level namespace segments as they are discovered.
+
+        Each yielded value is the first namespace segment of a newly
+        discovered subgraph (e.g. ``"agent:0"``).
+        """
+        yielded: set[str] = set()
+        while True:
+            # Yield any newly discovered namespaces
+            for ns_segment in list(self._discovered_ns):
+                if ns_segment not in yielded:
+                    # Filter by path prefix if specified
+                    if path:
+                        if not ns_segment.startswith(path[0]):
+                            continue
+                    yielded.add(ns_segment)
+                    yield ns_segment
+
+            if self._closed:
+                return
+
+            # Wait for new namespaces
+            loop = asyncio.get_running_loop()
+            fut: asyncio.Future[None] = loop.create_future()
+            self._ns_waiters.append(fut)
+            await fut
+
+    def get_output_future(self, ns: list[str] | None = None) -> asyncio.Future[Any]:
+        """Get or create an output future for a namespace.
+
+        The future resolves to the latest ``values`` event data when
+        the mux is closed.
+        """
+        ns_key = _ns_key(ns or [])
+        if ns_key not in self._output_futures:
+            loop = asyncio.get_running_loop()
+            self._output_futures[ns_key] = loop.create_future()
+
+            # If already closed, resolve immediately
+            if self._closed:
+                value = self._latest_values.get(ns_key)
+                if self._error is not None:
+                    self._output_futures[ns_key].set_exception(self._error)
+                else:
+                    self._output_futures[ns_key].set_result(value)
+
+        return self._output_futures[ns_key]
+
+    # -- Internal -----------------------------------------------------------
+
+    def _wake_ns_waiters(self) -> None:
+        for fut in self._ns_waiters:
+            if not fut.done():
+                try:
+                    fut.get_loop().call_soon_threadsafe(fut.set_result, None)
+                except RuntimeError:
+                    pass
+        self._ns_waiters.clear()
+
+
+
+def _ns_key(ns: list[str] | tuple[str, ...]) -> str:
+    """Convert a namespace list to a hashable key."""
+    return "|".join(ns)
+
+
+def _ns_starts_with(ns: list[str], prefix: list[str]) -> bool:
+    """Check if *ns* starts with *prefix*."""
+    if len(ns) < len(prefix):
+        return False
+    return ns[: len(prefix)] == prefix
+
+
+__all__ = ["AsyncStreamMux", "StreamMux"]
@@ -1,313 +1,166 @@
+"""Protocol types for StreamingHandler.
+
+Re-exports CDDL-derived types from ``langchain-protocol`` and defines
+in-process-only types needed by the LangGraph streaming infrastructure.
+"""
+
 from __future__ import annotations

-import asyncio
-import logging
 from abc import ABC, abstractmethod
-from collections.abc import Coroutine
-from typing import Any, ClassVar, Literal
+from typing import Any

+# ---------------------------------------------------------------------------
+# Re-exports from langchain-protocol (CDDL-derived)
+# ---------------------------------------------------------------------------
+# Primitives
+# Content blocks
+# Messages data
+# Tools data
+from langchain_protocol import (
+    Annotation,
+    Citation,
+    ContentBlock,
+    ContentBlockDeltaData,
+    ContentBlockFinishData,
+    ContentBlockStartData,
+    FinalizedContentBlock,
+    FinishReason,
+    InvalidToolCallBlock,
+    MessageErrorData,
+    MessageFinishData,
+    MessageMetadata,
+    MessageRole,
+    MessagesData,
+    MessageStartData,
+    MetadataScalar,
+    Namespace,
+    ReasoningBlock,
+    TextBlock,
+    ToolCallBlock,
+    ToolCallChunkBlock,
+    ToolErrorData,
+    ToolFinishedData,
+    ToolOutputDeltaData,
+    ToolsData,
+    ToolStartedData,
+    UsageInfo,
+)
 from typing_extensions import NotRequired, TypedDict

-_logger = logging.getLogger(__name__)
+# ---------------------------------------------------------------------------
+# In-process types (not in the CDDL spec)
+# ---------------------------------------------------------------------------


 class _ProtocolEventParams(TypedDict):
-    """Parameters for a protocol event.
+    """Payload envelope for a :class:`ProtocolEvent`."""

-    `timestamp` is wall-clock milliseconds since the epoch and can go
-    backwards across NTP adjustments — use `ProtocolEvent.seq` for
-    ordering.
-    """
-
-    namespace: list[str]
-    timestamp: int
+    namespace: Namespace
+    node: NotRequired[str]
    data: Any
-    interrupts: NotRequired[tuple[Any, ...]]


 class ProtocolEvent(TypedDict):
-    """A protocol event emitted by the streaming infrastructure.
+    """A single protocol event emitted by the StreamingHandler 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
-    `params.timestamp` (which is wall-clock and not monotonic).
+    ``method`` corresponds to a
+    :pydata:`~langgraph.types.StreamMode` value (``"messages"``,
+    ``"updates"``, etc.).
    """

-    type: Literal["event"]
-    eventId: NotRequired[str]
-    seq: NotRequired[int]
-    method: str  # StreamMode value: "values", "messages", "custom", etc.
+    type: str  # always "event"
+    seq: NotRequired[int]  # assigned by StreamMux.push(); absent before push()
+    method: str  # StreamMode value
    params: _ProtocolEventParams


 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.).
+    Implementations are registered with ``StreamingHandler`` and receive every
+    :class:`ProtocolEvent` before it is appended to the event log.

-    Set `_native = True` on a transformer to have its projection keys
-    exposed as direct attributes on the run stream (in addition to
-    appearing in `run.extensions`).
+    Any :class:`~langgraph.stream.stream_channel.StreamChannel` instances
+    returned by ``init()`` are automatically wired to the protocol event
+    stream by the mux.

-    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.
-
-    Transformers that need async work pick the async lane by:
-
-    1. Overriding `aprocess` (and optionally `afinalize` / `afail`), or
-    2. Calling `self.schedule(coro)` from inside a sync `process`, or
-    3. Setting `requires_async = True` explicitly.
-
-    The mux detects these cases at registration and raises if they're
-    used under sync `stream()` — they only work under `astream()`.
-
-    Use `aprocess` when the pump must wait for async work before the
-    next transformer sees the event (e.g. PII redaction that mutates
-    `event` in place). Use `schedule()` for decoupled async work whose
-    result lands on an independent projection (e.g. async moderation
-    scoring, cost lookup, external tracing).
-
-    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)`).
-        requires_async: Explicit opt-in for transformers that need a
-            running event loop but don't override any async method (for
-            example, transformers that call `schedule()` from a sync
-            `process`). The mux also auto-detects the async lane when
-            `aprocess`, `afinalize`, or `afail` is overridden.
-        supports_sync: Set True only for transformers that override
-            async-lane hooks while still fully supporting the sync lane.
-            Such transformers may be registered under `stream()`.
-        required_stream_modes: Stream modes the graph must emit for
-            this transformer to have anything to process. Computed as
-            the union across all registered transformers to determine
-            which modes a `stream_events(version="v3")` run requests from the graph.
-            Empty tuple means the transformer consumes only synthetic
-            events (or is purely passive).
    """

-    requires_async: ClassVar[bool] = False
-    supports_sync: ClassVar[bool] = False
-    required_stream_modes: ClassVar[tuple[str, ...]] = ()
-
-    def __init__(self, scope: tuple[str, ...] = ()) -> None:
-        """Initialize the transformer with its mux's scope.
-
-        Args:
-            scope: The namespace tuple the owning mux is scoped to.
-                `()` for the root. Factories receive this at
-                construction time (`factory(scope)` in `StreamMux`).
-        """
-        self.scope: tuple[str, ...] = scope
-
    @abstractmethod
-    def init(self) -> dict[str, Any]:
-        """Return the projection dict.
+    def init(self) -> Any:
+        """Return the initial projection value.

-        Keys become entries in `run.extensions`. If the transformer has
-        `_native = True`, keys are also set as direct attributes on the
-        run stream.
-
-        StreamChannel instances in the return value are automatically
-        wired by the StreamMux for protocol event auto-forwarding.
+        Called once before the run.  Any
+        :class:`~langgraph.stream.stream_channel.StreamChannel` instances
+        in the return value are automatically wired by the mux.
        """
        ...

-    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`).
-        """
-
+    @abstractmethod
    def process(self, event: ProtocolEvent) -> bool:
-        """Handle an event on the sync lane.
+        """Process an event.

-        Called for every event before it is appended to the main event
-        log. Subclasses must override either `process` or `aprocess`.
-        The default raises so a missing override fails loudly rather
-        than silently passing every event through.
-
-        Args:
-            event: The protocol event to observe.
-
-        Returns:
-            True to keep the event in the main log, False to suppress it.
+        Return ``True`` to keep the event in the log, ``False`` to suppress
+        it.
        """
-        raise NotImplementedError(
-            f"{type(self).__name__} must override process() or aprocess()"
-        )
-
-    async def aprocess(self, event: ProtocolEvent) -> bool:
-        """Handle an event on the async lane.
-
-        The mux awaits this before dispatching to the next transformer,
-        so a slow `aprocess` serializes the pipeline. Use it only when
-        a later transformer — or a consumer reading the event
-        synchronously — must see the result of the async work (e.g.
-        PII redaction that mutates `event` in place).
-
-        The default delegates to `process`, so purely-sync transformers
-        run unchanged under `astream()`.
-
-        Args:
-            event: The protocol event to observe.
-
-        Returns:
-            True to keep the event in the main log, False to suppress it.
-        """
-        return self.process(event)
+        ...

    def finalize(self) -> None:
-        """Called when the run ends normally (sync lane).
+        """Called once when the run completes successfully.

-        Override to close StreamChannels, resolve promises, or perform
-        other teardown. StreamChannel instances in the projection dict
-        are auto-closed by the mux.
+        Optional — the mux auto-closes any :class:`StreamChannel` instances,
+        so transformers that only use channels can omit this.
        """

-    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
-        without a last-task-wins race.
-
-        The default delegates to `finalize`.
-        """
-        self.finalize()
-
    def fail(self, err: BaseException) -> None:
-        """Called when the run ends with an error (sync lane).
+        """Called once when the run fails.

-        Override to fail StreamChannels, reject promises, or perform
-        other teardown. StreamChannel instances in the projection dict
-        are auto-failed by the mux.
-
-        Args:
-            err: The exception that ended the run.
+        Optional — the mux auto-fails any :class:`StreamChannel` instances,
+        so transformers that only use channels can omit this.
        """

-    async def afail(self, err: BaseException) -> None:
-        """Called when the run ends with an error (async lane).

-        The mux cancels and awaits every task started via `schedule()`
-        before calling this, so cleanup doesn't race with in-flight work.
+class InterruptPayload(TypedDict):
+    """An interrupt produced during a StreamingHandler run."""

-        The default delegates to `fail`.
-
-        Args:
-            err: The exception that ended the run.
-        """
-        self.fail(err)
-
-    # ------------------------------------------------------------------
-    # Scheduled async work
-    # ------------------------------------------------------------------
-
-    def schedule(
-        self,
-        coro: Coroutine[Any, Any, Any],
-        *,
-        on_error: Literal["log", "raise"] = "log",
-    ) -> asyncio.Task[Any]:
-        """Schedule a coroutine tied to this transformer's lifecycle.
-
-        The mux holds the task reference, awaits all scheduled tasks
-        during `aclose()` before calling `afinalize()`, and cancels
-        them on `afail()`. Authors don't need to track tasks or
-        implement the last-task-closes-the-log dance.
-
-        Requires a running event loop — call only under `astream()`.
-        Set `requires_async = True` on the class so registration under
-        sync `stream()` fails fast with a clear message.
-
-        Args:
-            coro: The coroutine to run. Its lifecycle is owned by the
-                mux from this point on.
-            on_error: `"log"` (default) catches and logs any exception
-                the coroutine raises, so a single failure doesn't tear
-                down the run. `"raise"` lets the exception propagate
-                when the mux joins pendings, converting the close path
-                into the fail path.
-
-        Returns:
-            The asyncio Task. Authors rarely need to await it directly
-            — consumers read results from whatever projection the
-            coroutine pushes into.
-
-        Raises:
-            RuntimeError: If called without a running event loop (i.e.
-                under sync `stream()` rather than `astream()`).
-        """
-        try:
-            asyncio.get_running_loop()
-        except RuntimeError:
-            raise RuntimeError(
-                f"{type(self).__name__}.schedule() requires a running "
-                "event loop; this transformer must run under astream(), "
-                "not stream(). Set requires_async=True on the class so "
-                "this fails at registration rather than at first event."
-            ) from None
-
-        wrapped = self._wrap_scheduled(coro) if on_error == "log" else coro
-        task = asyncio.create_task(wrapped)
-        tasks = self._scheduled_task_set()
-        tasks.add(task)
-        task.add_done_callback(tasks.discard)
-        return task
-
-    @staticmethod
-    async def _wrap_scheduled(coro: Coroutine[Any, Any, Any]) -> Any:
-        try:
-            return await coro
-        except asyncio.CancelledError:
-            raise
-        except BaseException:
-            _logger.exception("Scheduled StreamTransformer task failed")
-
-    def _scheduled_task_set(self) -> set[asyncio.Task[Any]]:
-        """Return the lazily-allocated task set.
-
-        Avoids requiring subclasses to call `super().__init__()`.
-        """
-        tasks: set[asyncio.Task[Any]] | None = getattr(
-            self, "_stream_scheduled_tasks", None
-        )
-        if tasks is None:
-            tasks = set()
-            self._stream_scheduled_tasks = tasks
-        return tasks
+    interrupt_id: str
+    payload: Any


-def transformer_requires_async(transformer: StreamTransformer) -> bool:
-    """Return True if the transformer needs a running event loop.
-
-    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.
-
-    Args:
-        transformer: The transformer to inspect.
-
-    Returns:
-        True if the transformer cannot run under sync `stream()`.
-    """
-    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):
-            return True
-    return False
+__all__ = [
+    # Primitives (re-exported)
+    "Namespace",
+    "MessageRole",
+    "MessageMetadata",
+    "MetadataScalar",
+    # Content blocks (re-exported)
+    "TextBlock",
+    "ReasoningBlock",
+    "ToolCallBlock",
+    "ToolCallChunkBlock",
+    "InvalidToolCallBlock",
+    "ContentBlock",
+    "FinalizedContentBlock",
+    "Annotation",
+    "Citation",
+    # Messages data (re-exported)
+    "MessagesData",
+    "MessageStartData",
+    "ContentBlockStartData",
+    "ContentBlockDeltaData",
+    "ContentBlockFinishData",
+    "MessageFinishData",
+    "MessageErrorData",
+    "FinishReason",
+    "UsageInfo",
+    # Tools data (re-exported)
+    "ToolsData",
+    "ToolStartedData",
+    "ToolOutputDeltaData",
+    "ToolFinishedData",
+    "ToolErrorData",
+    # In-process types
+    "ProtocolEvent",
+    "StreamTransformer",
+    "InterruptPayload",
+]
@@ -0,0 +1,324 @@
+"""Per-message streaming objects for StreamingHandler.
+
+``ChatModelStream`` is the synchronous variant returned by
+``GraphRunStream.messages``.  Properties (``.text``, ``.reasoning``,
+``.usage``) return final accumulated values.
+
+``AsyncChatModelStream`` is the asynchronous variant returned by
+``AsyncGraphRunStream.messages``.  Projections are dual
+async-iterable + awaitable (e.g. ``async for delta in msg.text``
+or ``full = await msg.text``).
+"""
+
+from __future__ import annotations
+
+import asyncio
+from collections.abc import Generator
+from typing import Any
+
+from langgraph.stream._types import UsageInfo
+
+# ---------------------------------------------------------------------------
+# Sync variant
+# ---------------------------------------------------------------------------
+
+
+class ChatModelStream:
+    """Synchronous per-message object for a single LLM response.
+
+    Created by :class:`~langgraph.stream.transformers.MessagesTransformer`
+    and yielded by ``GraphRunStream.messages``.  By the time the sync
+    iterator yields a ``ChatModelStream``, the message lifecycle is
+    complete and all properties contain their final values.
+
+    Projections:
+
+    - ``.text`` — accumulated text content (``str``)
+    - ``.reasoning`` — accumulated reasoning content (``str``)
+    - ``.usage`` — :class:`UsageInfo` or ``None``
+    - ``.namespace`` / ``.node`` — provenance metadata
+    """
+
+    def __init__(
+        self,
+        *,
+        namespace: list[str] | None = None,
+        node: str | None = None,
+        message_id: str | None = None,
+    ) -> None:
+        self._namespace = namespace or []
+        self._node = node
+        self._message_id = message_id
+
+        # Accumulated state
+        self._text_acc = ""
+        self._reasoning_acc = ""
+        self._usage_value: UsageInfo | None = None
+        self._done = False
+
+    # -- Public projections ------------------------------------------------
+
+    @property
+    def text(self) -> str:
+        """Accumulated text content."""
+        return self._text_acc
+
+    @property
+    def reasoning(self) -> str:
+        """Accumulated reasoning content."""
+        return self._reasoning_acc
+
+    @property
+    def usage(self) -> UsageInfo | None:
+        """Usage info, available after the message finishes."""
+        return self._usage_value
+
+    @property
+    def namespace(self) -> list[str]:
+        return self._namespace
+
+    @property
+    def node(self) -> str | None:
+        return self._node
+
+    @property
+    def message_id(self) -> str | None:
+        return self._message_id
+
+    @property
+    def done(self) -> bool:
+        return self._done
+
+    # -- Internal API (called by MessagesTransformer) ----------------------
+
+    def _push_content_block_delta(self, data: dict[str, Any]) -> None:
+        """Process a ``content-block-delta`` event."""
+        block = data.get("content_block", {})
+        btype = block.get("type", "")
+
+        if btype == "text":
+            delta_text = block.get("text", "")
+            if delta_text:
+                self._text_acc += delta_text
+        elif btype == "reasoning":
+            delta_r = block.get("reasoning", "")
+            if delta_r:
+                self._reasoning_acc += delta_r
+
+    def _push_content_block_finish(self, data: dict[str, Any]) -> None:
+        """Process a ``content-block-finish`` event."""
+        block = data.get("content_block", {})
+        btype = block.get("type", "")
+
+        if btype == "text":
+            full_text = block.get("text", "")
+            if full_text and full_text != self._text_acc:
+                self._text_acc = full_text
+        elif btype == "reasoning":
+            full_r = block.get("reasoning", "")
+            if full_r and full_r != self._reasoning_acc:
+                self._reasoning_acc = full_r
+
+    def _finish(self, data: dict[str, Any]) -> None:
+        """Process a ``message-finish`` event."""
+        self._done = True
+        self._usage_value = data.get("usage")
+
+    def _fail(self, error: BaseException) -> None:
+        """Process a ``message-error`` event."""
+        self._done = True
+
+
+# ---------------------------------------------------------------------------
+# Dual-projection helpers — sync data container + async notification layer
+# ---------------------------------------------------------------------------
+
+
+class _DualProjection:
+    """Sync data container for incremental deltas and a final value.
+
+    Stores deltas as they arrive and tracks the final accumulated value.
+    No async primitives — see :class:`_AsyncDualProjection` for the
+    async-iterable + awaitable extension.
+    """
+
+    def __init__(self) -> None:
+        self._deltas: list[Any] = []
+        self._done = False
+        self._error: BaseException | None = None
+        self._final_value: Any = None
+        self._final_set = False
+
+    # -- Producer API (called by AsyncChatModelStream) ---------------------
+
+    def _push(self, delta: Any) -> None:
+        """Add a new delta value."""
+        self._deltas.append(delta)
+
+    def _finish(self, accumulated: Any) -> None:
+        """Set the final accumulated value and mark as done."""
+        self._final_value = accumulated
+        self._final_set = True
+        self._done = True
+
+    def _fail(self, error: BaseException) -> None:
+        self._error = error
+        self._done = True
+
+
+class _AsyncDualProjection(_DualProjection):
+    """Async extension of :class:`_DualProjection`.
+
+    Async iterable of deltas that is also awaitable for the final value.
+    Uses an ``asyncio.Event`` to notify async consumers when new data
+    arrives — the same pattern as :class:`AsyncStreamMux`.
+    """
+
+    def __init__(self) -> None:
+        super().__init__()
+        self._notify: asyncio.Event = asyncio.Event()
+
+    # -- Producer overrides (extend to notify) -----------------------------
+
+    def _push(self, delta: Any) -> None:
+        super()._push(delta)
+        self._notify.set()
+
+    def _finish(self, accumulated: Any) -> None:
+        super()._finish(accumulated)
+        self._notify.set()
+
+    def _fail(self, error: BaseException) -> None:
+        super()._fail(error)
+        self._notify.set()
+
+    # -- Async iterable (yields deltas) ------------------------------------
+
+    def __aiter__(self) -> _AsyncDualProjectionIterator:
+        return _AsyncDualProjectionIterator(self)
+
+    # -- Awaitable (returns final value) -----------------------------------
+
+    def __await__(self) -> Generator[Any, None, Any]:
+        return self._await_impl().__await__()
+
+    async def _await_impl(self) -> Any:
+        while not self._final_set:
+            if self._error is not None:
+                raise self._error
+            self._notify.clear()
+            await self._notify.wait()
+        if self._error is not None:
+            raise self._error
+        return self._final_value
+
+
+class _AsyncDualProjectionIterator:
+    """Async iterator over an :class:`_AsyncDualProjection`'s deltas."""
+
+    __slots__ = ("_proj", "_offset")
+
+    def __init__(self, proj: _AsyncDualProjection) -> None:
+        self._proj = proj
+        self._offset = 0
+
+    def __aiter__(self) -> _AsyncDualProjectionIterator:
+        return self
+
+    async def __anext__(self) -> Any:
+        while True:
+            if self._offset < len(self._proj._deltas):
+                item = self._proj._deltas[self._offset]
+                self._offset += 1
+                return item
+            if self._proj._error is not None:
+                raise self._proj._error
+            if self._proj._done:
+                raise StopAsyncIteration
+            self._proj._notify.clear()
+            await self._proj._notify.wait()
+
+
+# ---------------------------------------------------------------------------
+# Async variant
+# ---------------------------------------------------------------------------
+
+
+class AsyncChatModelStream(ChatModelStream):
+    """Asynchronous per-message streaming object for a single LLM response.
+
+    Created by :class:`~langgraph.stream.transformers.MessagesTransformer`
+    and yielded by ``AsyncGraphRunStream.messages``.  Content-block events
+    are fed into this object until ``message-finish``.
+
+    Projections:
+
+    - ``.text`` — async iterable of text deltas; awaitable for full text
+    - ``.reasoning`` — async iterable of reasoning deltas; awaitable for
+      full reasoning text
+    - ``.usage`` — awaitable for :class:`UsageInfo`
+    - ``.namespace`` / ``.node`` — provenance metadata
+    """
+
+    def __init__(
+        self,
+        *,
+        namespace: list[str] | None = None,
+        node: str | None = None,
+        message_id: str | None = None,
+    ) -> None:
+        super().__init__(namespace=namespace, node=node, message_id=message_id)
+        self._text_proj = _AsyncDualProjection()
+        self._reasoning_proj = _AsyncDualProjection()
+        self._usage_proj = _AsyncDualProjection()
+
+    # -- Public projections (override sync properties) ---------------------
+
+    @property
+    def text(self) -> _AsyncDualProjection:
+        """Text content — async iterable of deltas, awaitable for full text."""
+        return self._text_proj
+
+    @property
+    def reasoning(self) -> _AsyncDualProjection:
+        """Reasoning content — async iterable of deltas, awaitable for full text."""
+        return self._reasoning_proj
+
+    @property
+    def usage(self) -> _AsyncDualProjection:
+        """Usage info — awaitable for :class:`UsageInfo`."""
+        return self._usage_proj
+
+    # -- Internal API (extend base to also drive projections) --------------
+
+    def _push_content_block_delta(self, data: dict[str, Any]) -> None:
+        """Process a ``content-block-delta`` event."""
+        super()._push_content_block_delta(data)
+        block = data.get("content_block", {})
+        btype = block.get("type", "")
+
+        if btype == "text":
+            delta_text = block.get("text", "")
+            if delta_text:
+                self._text_proj._push(delta_text)
+        elif btype == "reasoning":
+            delta_r = block.get("reasoning", "")
+            if delta_r:
+                self._reasoning_proj._push(delta_r)
+
+    def _finish(self, data: dict[str, Any]) -> None:
+        """Process a ``message-finish`` event."""
+        super()._finish(data)
+        self._text_proj._finish(self._text_acc)
+        self._reasoning_proj._finish(self._reasoning_acc)
+        self._usage_proj._finish(self._usage_value)
+
+    def _fail(self, error: BaseException) -> None:
+        """Process a ``message-error`` event."""
+        super()._fail(error)
+        self._text_proj._fail(error)
+        self._reasoning_proj._fail(error)
+        self._usage_proj._fail(error)
+
+
+__all__ = ["AsyncChatModelStream", "ChatModelStream"]
@@ -1,341 +1,49 @@
+"""StreamChannel — typed push-based channel for StreamTransformer projections.
+
+A ``StreamChannel`` wraps a list and declares a protocol channel name.
+When the :class:`StreamMux` detects a ``StreamChannel`` in a transformer's
+``init()`` return, it wires every ``push()`` call to inject a
+:class:`ProtocolEvent` into the main event stream using the channel's
+name as the ``method``.
+"""
+
 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
-
-if TYPE_CHECKING:
-    from langgraph.stream._mux import StreamMux
+from collections.abc import Callable
+from typing import Any, Generic, TypeVar

 T = TypeVar("T")


 class StreamChannel(Generic[T]):
-    """Single-consumer drainable queue for streaming events, with optional
-    protocol auto-forwarding.
+    """A typed push-based channel that integrates with the mux.

-    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.
-
-    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.
-
-    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.
-
-    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.
+    Transformer authors create a ``StreamChannel`` in ``init()`` and
+    call ``push()`` inside ``process()`` to emit domain objects.  The
+    mux auto-wires pushes to protocol events.
    """

-    def __init__(self, name: str | None = None, *, maxlen: int | None = None) -> None:
-        """Initialize the channel.
+    __slots__ = ("channel_name", "_items", "_on_push")

-        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`.
-        """
-        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._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.
-
-        Args:
-            is_async: True to enable async iteration, False for sync.
-
-        Raises:
-            RuntimeError: If the channel has already been bound.
-        """
-        if self._is_async is not None:
-            raise RuntimeError("StreamChannel is already bound")
-        self._is_async = is_async
-
-    # ------------------------------------------------------------------
-    # Mux wiring (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 __init__(self, name: str) -> None:
+        self.channel_name = name
+        self._items: list[T] = []
+        self._on_push: Callable[[Any], None] | None = None

    def push(self, item: T) -> None:
-        """Append an item. Auto-forwards if wired.
+        """Push an item to the channel."""
+        self._items.append(item)
+        if self._on_push is not None:
+            self._on_push(item)

-        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.
+    def _wire(self, fn: Callable[[Any], None]) -> None:
+        """Wire a callback invoked on every ``push()``.  Called by the mux."""
+        self._on_push = fn

-        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 is_stream_channel(value: object) -> bool:
+    """Check if *value* is a :class:`StreamChannel` instance."""
+    return isinstance(value, StreamChannel)

-    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
-
-    # ------------------------------------------------------------------
-    # 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 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)
-    # ------------------------------------------------------------------
-
-    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
-    # ------------------------------------------------------------------
-
-    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 channel is unbound or bound to async mode.
-            RuntimeError: If the channel 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 channel is unbound or bound to sync mode.
-            RuntimeError: If the channel 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))
+__all__ = ["StreamChannel", "is_stream_channel"]
@@ -0,0 +1,168 @@
+"""Experimental streaming wrapper for CompiledGraph.
+
+``StreamingHandler`` wraps a compiled graph and exposes the new streaming
+API without adding methods to the ``CompiledGraph`` class itself.
+
+Usage::
+
+    from langgraph.stream import StreamingHandler
+
+    s = StreamingHandler(graph)
+
+    # async
+    run = await s.astream(input)
+    async for msg in run.messages:
+        ...
+
+    # sync
+    run = s.stream(input)
+    for event in run:
+        ...
+"""
+
+from __future__ import annotations
+
+from collections.abc import AsyncIterator, Iterator, Sequence
+from typing import TYPE_CHECKING, Any, cast
+
+from langchain_core.runnables import RunnableConfig
+
+from langgraph._internal._config import patch_configurable
+from langgraph.stream._convert import STREAM_V2_MODES
+from langgraph.stream._types import StreamTransformer
+from langgraph.stream.run_stream import (
+    AsyncGraphRunStream,
+    GraphRunStream,
+    create_async_graph_run_stream,
+    create_graph_run_stream,
+)
+from langgraph.types import All
+
+if TYPE_CHECKING:
+    from langgraph.pregel import Pregel
+
+#: Config key that activates the protocol messages handler.
+#: Duplicated here to avoid a circular import with ``pregel._messages_v2``.
+PROTOCOL_MESSAGES_STREAM_KEY = "__protocol_messages_stream"
+
+
+class StreamingHandler:
+    """Experimental streaming wrapper around a compiled graph.
+
+    Provides ``.stream()`` and ``.astream()`` returning
+    :class:`GraphRunStream` / :class:`AsyncGraphRunStream` with
+    ergonomic projections (``run.values``, ``run.messages``,
+    ``run.subgraphs``, ``run.output``).
+
+    Args:
+        graph: A compiled LangGraph (``Pregel`` instance).
+    """
+
+    def __init__(self, graph: Pregel) -> None:
+        self._graph = graph
+
+    async def astream(
+        self,
+        input: Any,
+        config: RunnableConfig | None = None,
+        *,
+        context: Any | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        debug: bool | None = None,
+        transformers: list[StreamTransformer] | None = None,
+    ) -> AsyncGraphRunStream:
+        """Stream graph execution, returning an
+        :class:`~langgraph.stream.run_stream.AsyncGraphRunStream`.
+
+        The returned stream provides ergonomic projections:
+
+        - ``await run.output`` -- final state
+        - ``async for v in run.values`` -- intermediate state snapshots
+        - ``async for msg in run.messages`` -- per-message
+          :class:`~langgraph.stream.chat_model_stream.AsyncChatModelStream`
+          objects
+        - ``async for sub in run.subgraphs`` -- child
+          :class:`~langgraph.stream.run_stream.AsyncSubgraphRunStream`
+          instances
+        - ``async for event in run`` -- raw
+          :class:`~langgraph.stream._types.ProtocolEvent` objects
+
+        Args:
+            input: The input to the graph.
+            config: The configuration to use for the run.
+            context: The static context to use for the run.
+            interrupt_before: Nodes to interrupt before.
+            interrupt_after: Nodes to interrupt after.
+            debug: Whether to emit debug events.
+            transformers: Optional user-supplied
+                :class:`~langgraph.stream._types.StreamTransformer` instances
+                for custom projections (available on ``run.extensions``).
+
+        Returns:
+            An :class:`~langgraph.stream.run_stream.AsyncGraphRunStream`.
+        """
+        merged_config = patch_configurable(config, {PROTOCOL_MESSAGES_STREAM_KEY: True})
+
+        source = cast(
+            AsyncIterator[tuple[tuple[str, ...], str, Any]],
+            self._graph.astream(
+                input,
+                merged_config,
+                context=context,
+                stream_mode=STREAM_V2_MODES,
+                subgraphs=True,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                debug=debug,
+                version="v1",
+            ),
+        )
+
+        return await create_async_graph_run_stream(
+            source,
+            transformers=transformers,
+            output_mapper=self._graph._output_mapper,
+        )
+
+    def stream(
+        self,
+        input: Any,
+        config: RunnableConfig | None = None,
+        *,
+        context: Any | None = None,
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        debug: bool | None = None,
+        transformers: list[StreamTransformer] | None = None,
+    ) -> GraphRunStream:
+        """Synchronous variant of :meth:`astream`.
+
+        Returns a :class:`~langgraph.stream.run_stream.GraphRunStream`
+        immediately.  The underlying source is consumed lazily as
+        projections are iterated.
+
+        See :meth:`astream` for full documentation.
+        """
+        merged_config = patch_configurable(config, {PROTOCOL_MESSAGES_STREAM_KEY: True})
+
+        source = cast(
+            Iterator[tuple[tuple[str, ...], str, Any]],
+            self._graph.stream(
+                input,
+                merged_config,
+                context=context,
+                stream_mode=STREAM_V2_MODES,
+                subgraphs=True,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                debug=debug,
+                version="v1",
+            ),
+        )
+
+        return create_graph_run_stream(
+            source,
+            transformers=transformers,
+            output_mapper=self._graph._output_mapper,
+        )
@@ -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",
@@ -425,83 +423,6 @@ 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 +548,6 @@ class PregelExecutableTask:
    path: tuple[str | int | tuple, ...]
    writers: Sequence[Runnable] = ()
    subgraphs: Sequence[PregelProtocol] = ()
-    timeout: TimeoutPolicy | None = None


 class StateSnapshot(NamedTuple):
@@ -667,8 +587,6 @@ 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 +616,33 @@ 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 = "1.1.6"
 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>=0.1",
+    "langgraph-checkpoint>=2.1.0,<5.0.0",
    "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.1.0a2,<1.2.0",
+    "langgraph-prebuilt>=1.0.9,<1.1.0",
    "xxhash>=3.5.0",
    "pydantic>=2.7.4",
 ]
@@ -38,7 +38,7 @@ Homepage = "https://docs.langchain.com/oss/python/langgraph/overview"
 Documentation = "https://reference.langchain.com/python/langgraph/"
 Source = "https://github.com/langchain-ai/langgraph/tree/main/libs/langgraph"
 Changelog = "https://github.com/langchain-ai/langgraph/releases"
-Twitter = "https://x.com/langchain_oss"
+Twitter = "https://x.com/LangChain"
 Slack = "https://www.langchain.com/join-community"
 Reddit = "https://www.reddit.com/r/LangChain/"

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

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

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

 pytestmark = pytest.mark.anyio


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

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

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

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

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

+    # Creating from checkpoint with MISSING should start empty
    new_channel = UntrackedValue(dict).from_checkpoint(checkpoint)
    with pytest.raises(EmptyChannelError):
        new_channel.get()
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — message reducer
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_basic_two_steps() -> None:
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-
-    ch.update([HumanMessage(content="hi", id="h1")])
-    d1 = ch.checkpoint()
-    assert d1 is MISSING
-
-    ch.update([AIMessage(content="hello", id="a1")])
-    d2 = ch.checkpoint()
-    assert d2 is MISSING
-
-    assert len(ch.get()) == 2
-    assert ch.get()[0].content == "hi"
-    assert ch.get()[1].content == "hello"
-
-
-def test_delta_channel_from_checkpoint_writes_list() -> None:
-    """replay_writes on a fresh channel replays through the operator."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    ch = spec.from_checkpoint(MISSING)
-    ch.replay_writes(
-        [
-            ("t0", "messages", HumanMessage(content="hi", id="h1")),
-            ("t1", "messages", AIMessage(content="hello", id="a1")),
-            ("t2", "messages", HumanMessage(content="bye", id="h2")),
-        ]
-    )
-    msgs = ch.get()
-    assert len(msgs) == 3
-    assert msgs[0].content == "hi"
-    assert msgs[1].content == "hello"
-    assert msgs[2].content == "bye"
-
-
-def test_delta_channel_from_checkpoint_backwards_compat() -> None:
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    old_value = [HumanMessage(content="old", id="h1")]
-    ch = spec.from_checkpoint(old_value)
-    assert ch.get() == old_value
-
-
-def test_delta_channel_overwrite() -> None:
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-    ch.update([HumanMessage(content="old", id="h1")])
-
-    ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
-    d = ch.checkpoint()
-    assert d is MISSING
-    assert len(ch.get()) == 1
-    assert ch.get()[0].content == "new"
-
-
-def test_delta_channel_remove_message_and_replay() -> None:
-    """RemoveMessage must round-trip correctly when writes are replayed."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    ch = spec.from_checkpoint(MISSING)
-
-    ch.update([HumanMessage(content="hi", id="h1")])
-    ch.update([AIMessage(content="hello", id="a1")])
-    assert ch.get() == [
-        HumanMessage(content="hi", id="h1"),
-        AIMessage(content="hello", id="a1"),
-    ]
-
-    ch.update([RemoveMessage(id="a1")])
-    assert ch.get() == [HumanMessage(content="hi", id="h1")]
-
-    ch2 = spec.from_checkpoint(MISSING)
-    ch2.replay_writes(
-        [
-            ("t0", "messages", HumanMessage(content="hi", id="h1")),
-            ("t1", "messages", AIMessage(content="hello", id="a1")),
-            ("t2", "messages", RemoveMessage(id="a1")),
-        ]
-    )
-    assert ch2.get() == [HumanMessage(content="hi", id="h1")]
-
-
-def test_delta_channel_update_by_id_and_replay() -> None:
-    """Updating a message by ID must round-trip correctly through writes replay."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    ch = spec.from_checkpoint(MISSING)
-
-    ch.update([HumanMessage(content="original", id="h1")])
-    ch.update([HumanMessage(content="updated", id="h1")])
-    assert ch.get() == [HumanMessage(content="updated", id="h1")]
-
-    ch2 = spec.from_checkpoint(MISSING)
-    ch2.replay_writes(
-        [
-            ("t0", "messages", HumanMessage(content="original", id="h1")),
-            ("t1", "messages", HumanMessage(content="updated", id="h1")),
-        ]
-    )
-    assert len(ch2.get()) == 1
-    assert ch2.get()[0].content == "updated"
-
-
-def test_delta_channel_dict_coercion() -> None:
-    """_messages_delta_reducer coerces dict writes to BaseMessage objects.
-
-    HTTP-driven input always arrives as JSON dicts.  The reducer must coerce
-    them (same contract as add_messages) so graphs work without a separate
-    coercion step.
-    """
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-
-    # dict input — simulates what arrives from the HTTP API
-    ch.update([{"role": "human", "content": "hello", "id": "h1"}])
-    assert len(ch.get()) == 1
-    assert isinstance(ch.get()[0], HumanMessage)
-    assert ch.get()[0].content == "hello"
-    assert ch.get()[0].id == "h1"
-
-    # update by ID via dict
-    ch.update([{"role": "ai", "content": "world", "id": "h1"}])
-    assert len(ch.get()) == 1
-    assert ch.get()[0].content == "world"
-
-    # remove via RemoveMessage instance (same contract as add_messages)
-    ch.update([RemoveMessage(id="h1")])
-    assert ch.get() == []
-
-
-def test_messages_delta_reducer_coerces_state() -> None:
-    """State (left side) is coerced when raw — supports raw initial input
-    and deserialized blobs. The steady-state path (state already typed)
-    short-circuits and skips coercion.
-    """
-    state = [{"role": "human", "content": "hello", "id": "h1"}]
-    writes = [[{"role": "ai", "content": "world", "id": "h1"}]]
-    result = _messages_delta_reducer(state, writes)  # type: ignore[arg-type]
-    assert len(result) == 1
-    assert isinstance(result[0], AIMessage)
-    assert result[0].content == "world"
-    assert result[0].id == "h1"
-
-
-def test_messages_delta_reducer_tuple_write_is_one_message() -> None:
-    """A top-level tuple write is one message-like, not a sequence to flatten.
-
-    `("user", "hi")` is a valid `MessageLikeRepresentation`; flattening it
-    would produce two HumanMessages ("user", "hi") instead of one.
-    """
-    result = _messages_delta_reducer([], [("user", "hi")])  # type: ignore[arg-type]
-    assert len(result) == 1
-    assert isinstance(result[0], HumanMessage)
-    assert result[0].content == "hi"
-
-
-def test_delta_channel_checkpoint_returns_missing() -> None:
-    """checkpoint() always returns MISSING regardless of state.
-
-    Pregel writes `_DeltaSnapshot(ch.get())` directly into `channel_values`
-    on snapshot steps; the channel itself never participates in snapshot
-    serialization, so its `checkpoint()` is always the absence sentinel.
-    """
-    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-    assert ch.checkpoint() is MISSING
-
-    ch.update([HumanMessage(content="hi", id="h1")])
-    assert ch.checkpoint() is MISSING
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — snapshot frequency
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_snapshot_version_based() -> None:
-    """Snapshots fire when a channel accumulates `snapshot_frequency` updates.
-
-    Under the version-delta cadence, every time the channel's
-    `current_version - last_snapshot_version >= snapshot_frequency` a
-    `_DeltaSnapshot` blob is written. Bounds the ancestor walk to at most
-    `snapshot_frequency` steps on any read for that channel.
-    """
-
-    class State(TypedDict):
-        messages: Annotated[
-            list, DeltaChannel(_messages_delta_reducer, snapshot_frequency=5)
-        ]
-        other: str
-
-    def node_a(state: State) -> dict:
-        i = len(state["messages"]) // 2
-        return {"messages": [AIMessage(content=f"a{i}", id=f"a{i}")]}
-
-    def node_b(state: State) -> dict:
-        return {"other": "y"}
-
-    g = StateGraph(State)
-    g.add_node("a", node_a)
-    g.add_node("b", node_b)
-    g.add_edge(START, "a")
-    g.add_edge("a", "b")
-    saver = InMemorySaver()
-    graph = g.compile(checkpointer=saver)
-
-    config = {"configurable": {"thread_id": "t1"}}
-    for i in range(6):
-        graph.invoke(
-            {"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")], "other": ""},
-            config,
-        )
-
-    msg_blob_values = [
-        saver.serde.loads_typed((type_tag, blob))
-        for k, (type_tag, blob) in saver.blobs.items()
-        if k[2] == "messages" and type_tag == "msgpack" and blob
-    ]
-    snapshots = [v for v in msg_blob_values if isinstance(v, _DeltaSnapshot)]
-    assert snapshots, "expected at least one _DeltaSnapshot blob for messages"
-
-    state = graph.get_state(config)
-    assert len(state.values["messages"]) == 12  # 6 human + 6 AI
-
-
-# TODO(delta-channel-cadence): the previous "snapshot fires even when channel
-# was not written" test asserted eager step-based snapshotting; under the new
-# version-delta cadence (`should_snapshot` triggers on per-channel update
-# count, not superstep count), no snapshot fires for an unwritten channel.
-# Replace with a test that exercises the version-delta trigger plus the
-# durability="exit" force-snapshot branch — see
-# `docs/superpowers/specs/2026-05-04-delta-channel-batched-reads-design.md`
-# section "Snapshot cadence".
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — end-to-end (InMemorySaver)
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_inmemory_saver_assembles_writes() -> None:
-    """InMemorySaver assembles writes from checkpoint_writes inside get_tuple."""
-
-    class State(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer, list)]
-
-    n = {"v": 0}
-
-    def respond(state: State) -> dict:
-        n["v"] += 1
-        return {"messages": [AIMessage(content=f"ok{n['v']}", id=f"ai{n['v']}")]}
-
-    builder = StateGraph(State)
-    builder.add_node("respond", respond)
-    builder.add_edge(START, "respond")
-    saver = InMemorySaver()
-    graph = builder.compile(checkpointer=saver)
-    config = {"configurable": {"thread_id": "t1"}}
-
-    graph.invoke({"messages": [HumanMessage(content="hi", id="h1")]}, config)
-    graph.invoke({"messages": [HumanMessage(content="bye", id="h2")]}, config)
-
-    saved = saver.get_tuple(config)
-    assert saved is not None
-    assert "messages" not in saved.checkpoint["channel_values"]
-
-    state = graph.get_state(config)
-    assert len(state.values["messages"]) == 4  # 2 human + 2 AI
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — dict reducer
-# ---------------------------------------------------------------------------
-
-
-def _delta_channel_with_type(op, typ):
-    """Build a DeltaChannel with an explicit type via the Annotated injection path."""
-    return _get_channel("_test", Annotated[typ, DeltaChannel(op)])
-
-
-def test_delta_channel_dict_reducer_fresh_channel() -> None:
-    """DeltaChannel with a dict reducer starts as empty dict on MISSING checkpoint."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
-    assert ch.is_available()
-    assert ch.get() == {}
-
-
-def test_delta_channel_dict_reducer_basic_updates() -> None:
-    """DeltaChannel with a dict reducer accumulates key/value pairs across steps."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
-
-    ch.update([{"a": 1}])
-    d1 = ch.checkpoint()
-    assert d1 is MISSING
-
-    ch.update([{"b": 2}])
-    d2 = ch.checkpoint()
-    assert d2 is MISSING
-
-    assert ch.get() == {"a": 1, "b": 2}
-
-
-def test_delta_channel_dict_reducer_writes_reconstruction() -> None:
-    """replay_writes on a fresh channel replays through a dict merge reducer."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    spec = _delta_channel_with_type(merge_dicts, dict)
-    ch = spec.from_checkpoint(MISSING)
-    ch.replay_writes(
-        [
-            ("t0", "files", {"a": 1}),
-            ("t1", "files", {"b": 2}),
-            ("t2", "files", {"c": 3}),
-        ]
-    )
-    assert ch.get() == {"a": 1, "b": 2, "c": 3}
-
-
-def test_delta_channel_dict_reducer_with_deletions() -> None:
-    """Dict reducer that treats None values as deletions works end-to-end."""
-
-    def merge_files(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            for k, v in w.items():
-                if v is None:
-                    result.pop(k, None)
-                else:
-                    result[k] = v
-        return result
-
-    ch = _delta_channel_with_type(merge_files, dict).from_checkpoint(MISSING)
-    ch.update([{"file1.py": "content1", "file2.py": "content2"}])
-    ch.update([{"file1.py": None, "file3.py": "content3"}])
-    assert ch.get() == {"file2.py": "content2", "file3.py": "content3"}
-
-    spec = _delta_channel_with_type(merge_files, dict)
-    ch2 = spec.from_checkpoint(MISSING)
-    ch2.replay_writes(
-        [
-            ("t0", "files", {"file1.py": "content1", "file2.py": "content2"}),
-            ("t1", "files", {"file1.py": None, "file3.py": "content3"}),
-        ]
-    )
-    assert ch2.get() == {"file2.py": "content2", "file3.py": "content3"}
-
-
-def test_delta_channel_dict_reducer_overwrite_in_update() -> None:
-    """Overwrite(dict) in update() must preserve dict shape, not coerce to list."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    ch = _delta_channel_with_type(merge_dicts, dict).from_checkpoint(MISSING)
-    ch.update([{"a": 1}])
-    ch.update([Overwrite({"b": 2, "c": 3})])
-    assert ch.get() == {"b": 2, "c": 3}
-
-
-def test_delta_channel_dict_reducer_overwrite_in_writes_replay() -> None:
-    """Overwrite(dict) embedded in replayed writes must reconstruct as dict."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    spec = _delta_channel_with_type(merge_dicts, dict)
-    ch = spec.from_checkpoint(MISSING)
-    ch.replay_writes(
-        [
-            ("t0", "files", {"a": 1}),
-            ("t1", "files", Overwrite({"x": 10, "y": 20})),
-            ("t2", "files", {"z": 30}),
-        ]
-    )
-    assert ch.get() == {"x": 10, "y": 20, "z": 30}
-
-
-def test_delta_channel_dict_reducer_with_notrequired_annotation() -> None:
-    """DeltaChannel infers dict type through `Annotated[NotRequired[dict[...]], ch]`."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    annotation = Annotated[NotRequired[dict[str, int]], DeltaChannel(merge_dicts)]
-    ch = _get_channel("files", annotation).from_checkpoint(MISSING)
-    assert ch.get() == {}
-    ch.update([{"a": 1}])
-    ch.update([{"b": 2}])
-    assert ch.get() == {"a": 1, "b": 2}
-
-
-def test_delta_channel_dict_reducer_end_to_end_filesystem() -> None:
-    """End-to-end: graph with dict-reducer (filesystem-style) channel wrapped in DeltaChannel."""
-
-    def merge_files(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            for k, v in w.items():
-                if v is None:
-                    result.pop(k, None)
-                else:
-                    result[k] = v
-        return result
-
-    class State(TypedDict):
-        files: Annotated[dict[str, str], DeltaChannel(merge_files)]
-
-    turn = {"v": 0}
-
-    def write_file(state: State) -> dict:
-        turn["v"] += 1
-        n = turn["v"]
-        return {"files": {f"/doc_{n}.txt": f"content for turn {n}"}}
-
-    builder = StateGraph(State)
-    builder.add_node("write_file", write_file)
-    builder.add_edge(START, "write_file")
-    saver = InMemorySaver()
-    graph = builder.compile(checkpointer=saver)
-    config = {"configurable": {"thread_id": "fs"}}
-
-    for _ in range(3):
-        graph.invoke({"files": {}}, config)
-
-    saved = saver.get_tuple(config)
-    assert saved is not None
-    assert "files" not in saved.checkpoint["channel_values"]
-    state = graph.get_state(config)
-    assert state.values["files"] == {
-        "/doc_1.txt": "content for turn 1",
-        "/doc_2.txt": "content for turn 2",
-        "/doc_3.txt": "content for turn 3",
-    }
-
-    def delete_file(state: State) -> dict:
-        return {"files": {"/doc_1.txt": None}}
-
-    builder2 = StateGraph(State)
-    builder2.add_node("write_file", write_file)
-    builder2.add_node("delete_file", delete_file)
-    builder2.add_edge(START, "write_file")
-    builder2.add_edge("write_file", "delete_file")
-    turn["v"] = 0
-    saver2 = InMemorySaver()
-    graph2 = builder2.compile(checkpointer=saver2)
-    config2 = {"configurable": {"thread_id": "fs2"}}
-    graph2.invoke({"files": {}}, config2)
-    state2 = graph2.get_state(config2)
-    assert state2.values["files"] == {}
-
-
-def test_delta_channel_dict_reducer_backwards_compat() -> None:
-    """A pre-DeltaChannel dict checkpoint must load as a dict, not be listified."""
-
-    def merge_dicts(state: dict, writes: list) -> dict:
-        result = dict(state)
-        for w in writes:
-            result.update(w)
-        return result
-
-    spec = _delta_channel_with_type(merge_dicts, dict)
-    old_value = {"a": 1, "b": 2}
-    ch = spec.from_checkpoint(old_value)
-    assert ch.get() == {"a": 1, "b": 2}
-
-
-# ---------------------------------------------------------------------------
-# DeltaChannel — seed / pre-delta migration
-# ---------------------------------------------------------------------------
-
-
-def test_delta_channel_from_checkpoint_honors_seed() -> None:
-    """A non-sentinel value to from_checkpoint is used as the pre-delta seed.
-
-    Guards the pre-delta migration path: when the saver's ancestor walk hits
-    a pre-DeltaChannel blob it passes it as `seed` so replay reconstructs
-    the post-migration state correctly rather than replaying from empty.
-    """
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    seed = [HumanMessage(content="pre-delta", id="p1")]
-    ch = spec.from_checkpoint(seed)
-    ch.replay_writes(
-        [
-            ("t0", "messages", AIMessage(content="delta-1", id="d1")),
-            ("t1", "messages", HumanMessage(content="delta-2", id="d2")),
-        ]
-    )
-    msgs = ch.get()
-    assert [m.content for m in msgs] == ["pre-delta", "delta-1", "delta-2"]
-
-
-def test_delta_channel_from_checkpoint_seed_without_writes() -> None:
-    """Reconstruction at a pre-delta ancestor with no newer deltas returns
-    just the seed — the saver's terminator fired immediately."""
-    spec = DeltaChannel(_messages_delta_reducer, list)
-    seed = [HumanMessage(content="only-snap", id="s1")]
-    ch = spec.from_checkpoint(seed)
-    ch.replay_writes([])
-    assert ch.get() == seed
-
-
-def test_delta_channel_from_checkpoint_seed_none_is_distinct_from_sentinel() -> None:
-    """`seed=None` must start replay from None, not from an empty channel.
-
-    The `MISSING` absence sentinel means 'no seed'; passing `None`
-    explicitly should feed None to the reducer as the left operand.
-    """
-
-    def replace(state, writes):
-        return writes[-1] if writes else state
-
-    spec = DeltaChannel(replace, list)
-    ch = spec.from_checkpoint(None)
-    ch.replay_writes([("t0", "x", "after")])
-    assert ch.get() == "after"
@@ -1,321 +0,0 @@
-"""Benchmark: DeltaChannel — multi-channel reads, mixed snapshot frequencies.
-
-Run directly:  python tests/test_delta_channel_benchmark.py
-Run via pytest: pytest tests/test_delta_channel_benchmark.py -s
-
-Sweeps `(K delta channels, snapshot_frequency strategy, turn count)` and
-reports per-scenario read latency, write latency, storage, and peak Python
-heap usage during `get_state`.
-
-Scenarios cover the dimensions where this branch's optimizations matter:
-
-  * K-channel batching   — varying K (number of `DeltaChannel`s the graph
-                           reads on hydrate) shows the effect of merging
-                           per-channel reads into a single saver call.
-  * Mixed frequencies    — channels with very different snapshot cadences
-                           in one graph exercise the per-channel chain
-                           bound in stage-2.
-  * Turn count           — chain depth shows how paged stage-1 holds up.
-"""
-
-from __future__ import annotations
-
-import contextlib
-import gc
-import os
-import sys
-import time
-import tracemalloc
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.messages import HumanMessage
-from langgraph.checkpoint.memory import MemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, StateGraph
-from langgraph.graph.message import _messages_delta_reducer
-
-try:
-    from langgraph.checkpoint.postgres import PostgresSaver
-
-    _POSTGRES_AVAILABLE = True
-    _POSTGRES_URI = os.environ.get(
-        "LANGGRAPH_BENCH_POSTGRES_URI",
-        "postgres://postgres@localhost:5432/postgres?sslmode=disable",
-    )
-except ImportError:
-    _POSTGRES_AVAILABLE = False
-
-
-# ---------------------------------------------------------------------------
-# Realistic message payload (~100 tokens / ~400 chars each)
-# ---------------------------------------------------------------------------
-
-_HUMAN_TEMPLATE = (
-    "I need help understanding the implications of {topic} on our system "
-    "architecture. Specifically, I'm concerned about how this interacts with "
-    "our existing {concern} and whether we need to refactor the {component} "
-    "layer before proceeding."
-)
-
-_TOPICS = [
-    "distributed tracing",
-    "eventual consistency",
-    "schema migration",
-    "backpressure handling",
-    "idempotency guarantees",
-]
-_CONCERNS = ["concurrency model", "retry semantics", "ordering guarantees"]
-_COMPONENTS = ["persistence", "ingestion", "routing"]
-
-
-def _human_content(i: int) -> str:
-    return _HUMAN_TEMPLATE.format(
-        topic=_TOPICS[i % len(_TOPICS)],
-        concern=_CONCERNS[i % len(_CONCERNS)],
-        component=_COMPONENTS[i % len(_COMPONENTS)],
-    )
-
-
-# ---------------------------------------------------------------------------
-# State / graph factory: K DeltaChannel fields with per-channel freqs
-# ---------------------------------------------------------------------------
-
-
-def _make_state_cls(freqs: list[int]) -> type:
-    """Build a TypedDict with one DeltaChannel per entry in `freqs`."""
-    fields: dict[str, Any] = {}
-    for i, freq in enumerate(freqs):
-        ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=freq)
-        fields[f"ch{i}"] = Annotated[list, ch]
-    return TypedDict(  # type: ignore[return-value]
-        "_BenchState_" + "-".join(str(f) for f in freqs),
-        fields,
-    )
-
-
-def _make_graph(state_cls: type, K: int, checkpointer: Any = None) -> Any:
-    """Graph: one node, writes a fresh message into every channel each turn."""
-
-    def fanout(state: Any) -> dict[str, Any]:
-        i = max(len(state.get(f"ch{j}", [])) for j in range(K))
-        # Each channel gets its own copy with a unique id so the reducer
-        # does meaningful per-channel state accumulation.
-        return {
-            f"ch{j}": [HumanMessage(content=_human_content(i), id=f"c{j}_{i}")]
-            for j in range(K)
-        }
-
-    g = StateGraph(state_cls)
-    g.add_node("fanout", fanout)
-    g.set_entry_point("fanout")
-    g.add_edge("fanout", END)
-    return g.compile(checkpointer=checkpointer or MemorySaver())
-
-
-# ---------------------------------------------------------------------------
-# Storage / memory measurement
-# ---------------------------------------------------------------------------
-
-
-def _inmemory_blob_bytes(saver: MemorySaver) -> int:
-    return sum(
-        len(blob) for (_, _, _, _), (_, blob) in saver.blobs.items() if blob is not None
-    )
-
-
-def _postgres_storage_bytes(saver: Any, thread_id: str) -> int:
-    """Total bytes across checkpoints / checkpoint_blobs / checkpoint_writes
-    rows for this `thread_id`. Uses `pg_column_size` for an in-row payload
-    estimate; faster than full-table size and scoped to the thread."""
-    sql = """
-    SELECT COALESCE(SUM(pg_column_size(c.*)), 0)
-         + COALESCE((SELECT SUM(pg_column_size(b.*)) FROM checkpoint_blobs b
-                     WHERE b.thread_id = %s), 0)
-         + COALESCE((SELECT SUM(pg_column_size(w.*)) FROM checkpoint_writes w
-                     WHERE w.thread_id = %s), 0)
-         AS total
-    FROM checkpoints c
-    WHERE c.thread_id = %s
-    """
-    with saver._cursor() as cur:
-        cur.execute(sql, (thread_id, thread_id, thread_id))
-        row = cur.fetchone()
-    if row is None:
-        return 0
-    if isinstance(row, dict):
-        return int(row.get("total") or 0)
-    return int(row[0] or 0)
-
-
-def _run_scenario(
-    freqs: list[int],
-    n_turns: int,
-    checkpointer: Any,
-    thread_id: str,
-) -> dict[str, float | int]:
-    """Drive `n_turns` invocations of a K-channel graph, measure
-    write/read/storage/peak-memory."""
-    K = len(freqs)
-    state_cls = _make_state_cls(freqs)
-    graph = _make_graph(state_cls, K, checkpointer)
-    config = {"configurable": {"thread_id": thread_id}}
-
-    # Write phase
-    t0 = time.perf_counter()
-    for i in range(n_turns):
-        graph.invoke({}, config)
-    write_elapsed = time.perf_counter() - t0
-
-    # Read phase + tracemalloc peak across get_state calls
-    gc.collect()
-    tracemalloc.start()
-    t1 = time.perf_counter()
-    for _ in range(5):
-        graph.get_state(config)
-    read_elapsed = (time.perf_counter() - t1) / 5
-    _, peak_bytes = tracemalloc.get_traced_memory()
-    tracemalloc.stop()
-
-    # Storage
-    if isinstance(graph.checkpointer, MemorySaver):
-        storage = _inmemory_blob_bytes(graph.checkpointer)
-    elif _POSTGRES_AVAILABLE and isinstance(graph.checkpointer, PostgresSaver):
-        storage = _postgres_storage_bytes(graph.checkpointer, thread_id)
-    else:
-        storage = -1
-
-    return {
-        "K": K,
-        "turns": n_turns,
-        "write_total_s": write_elapsed,
-        "write_per_invoke_ms": (write_elapsed / n_turns) * 1000,
-        "read_avg_ms": read_elapsed * 1000,
-        "storage_bytes": storage,
-        "peak_mem_bytes": peak_bytes,
-    }
-
-
-# ---------------------------------------------------------------------------
-# Postgres helpers
-# ---------------------------------------------------------------------------
-
-
-@contextlib.contextmanager
-def _pg_saver(thread_id: str):
-    with PostgresSaver.from_conn_string(_POSTGRES_URI) as saver:
-        saver.setup()
-        with saver._cursor() as cur:
-            for tbl in ("checkpoints", "checkpoint_blobs", "checkpoint_writes"):
-                cur.execute(f"DELETE FROM {tbl} WHERE thread_id = %s", (thread_id,))
-        yield saver
-        with saver._cursor() as cur:
-            for tbl in ("checkpoints", "checkpoint_blobs", "checkpoint_writes"):
-                cur.execute(f"DELETE FROM {tbl} WHERE thread_id = %s", (thread_id,))
-
-
-def _checkpointers() -> list[tuple[str, Any]]:
-    result: list[tuple[str, Any]] = [("InMemory", None)]
-    if _POSTGRES_AVAILABLE:
-        try:
-            import psycopg
-
-            psycopg.connect(_POSTGRES_URI).close()
-            result.append(("Postgres", "postgres"))
-        except Exception:
-            pass
-    return result
-
-
-# ---------------------------------------------------------------------------
-# Scenarios
-# ---------------------------------------------------------------------------
-
-SCENARIOS: list[tuple[str, list[int]]] = [
-    ("K=1, freq=50", [50]),
-    ("K=3, freq=50 uniform", [50, 50, 50]),
-    ("K=3, freq=mixed", [50, 200, 1000]),
-    ("K=8, freq=50 uniform", [50] * 8),
-    ("K=8, freq=mixed", [25, 50, 100, 200, 500, 1000, 1000, 1000]),
-]
-
-TURN_COUNTS = [100, 500]
-
-
-def _fmt_bytes(n: int) -> str:
-    if n < 0:
-        return "n/a"
-    if n >= 1_000_000:
-        return f"{n / 1_000_000:.1f} MB"
-    if n >= 1_000:
-        return f"{n / 1_000:.1f} KB"
-    return f"{n} B"
-
-
-def _print_scenario_table(cp_label: str, rows: list[dict]) -> None:
-    print(f"\n  [{cp_label}]")
-    header = (
-        f"  {'scenario':<28}{'turns':>8}{'write_ms':>11}"
-        f"{'read_ms':>10}{'storage':>12}{'peak_mem':>12}"
-    )
-    print(header)
-    print("  " + "-" * (len(header) - 2))
-    for row in rows:
-        print(
-            f"  {row['scenario']:<28}"
-            f"{row['turns']:>8}"
-            f"{row['write_per_invoke_ms']:>10.1f}"
-            f"{row['read_avg_ms']:>10.2f}"
-            f"{_fmt_bytes(row['storage_bytes']):>12}"
-            f"{_fmt_bytes(row['peak_mem_bytes']):>12}"
-        )
-
-
-def run_benchmark() -> list[dict]:
-    """Run the full sweep and return all measurement rows."""
-    all_rows: list[dict] = []
-    for cp_label, cp_hint in _checkpointers():
-        rows: list[dict] = []
-        for scenario_label, freqs in SCENARIOS:
-            for turns in TURN_COUNTS:
-                thread_id = f"bench-{scenario_label.replace(' ', '_')}-{turns}".lower()
-                if cp_hint is None:
-                    saver_ctx: Any = contextlib.nullcontext(None)
-                else:
-                    saver_ctx = _pg_saver(thread_id)
-                with saver_ctx as saver:
-                    measured = _run_scenario(freqs, turns, saver, thread_id)
-                measured["scenario"] = scenario_label
-                measured["saver"] = cp_label
-                rows.append(measured)
-                all_rows.append(measured)
-        _print_scenario_table(cp_label, rows)
-    return all_rows
-
-
-# ---------------------------------------------------------------------------
-# Pytest entry point
-# ---------------------------------------------------------------------------
-
-
-@pytest.mark.skip(
-    reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
-)
-def test_delta_channel_benchmark(capsys: Any) -> None:
-    """Manual benchmark — see module docstring."""
-    with capsys.disabled():
-        run_benchmark()
-
-
-# ---------------------------------------------------------------------------
-# Script entry point
-# ---------------------------------------------------------------------------
-
-
-if __name__ == "__main__":
-    print("DeltaChannel benchmark — multi-channel reads, mixed frequencies")
-    print("=" * 78)
-    run_benchmark()
-    sys.exit(0)
@@ -1,618 +0,0 @@
-"""Tests for the BinaryOperatorAggregate -> DeltaChannel migration path.
-
-A thread written under `BinaryOperatorAggregate(...)` must keep working
-after its annotation is swapped to `DeltaChannel(...)` on the same
-checkpointer — pre-migration state visible at each *settled* ancestor
-checkpoint is preserved, and post-migration writes fold on top through
-the reducer.
-
-Mechanism under test: the saver's public `get_delta_channel_history(config,
-channels)` walks the parent chain; when it encounters an ancestor whose
-`channel_values[channel]` is a real value, it populates that channel's
-`seed` in the returned `DeltaChannelHistory`. If the walk reaches the root
-without finding a stored value, the `seed` key is omitted (TypedDict
-absence indicates "start empty"). `DeltaChannel.from_checkpoint(seed)`
-uses it as the base value, and `replay_writes(writes)` folds on-path
-deltas.
-
-Scenarios covered:
-
-1. **Basic migration (sync + async)**: build pre-migration state with
-   `BinaryOperatorAggregate`, swap the annotation to `DeltaChannel` on
-   the same checkpointer, and verify that every settled pre-migration
-   super-step boundary (`next=('__start__',)`) round-trips exactly
-   under the delta-channel view.
-2. **Time travel into a pre-migration checkpoint** after migration —
-   `graph.get_state(pre_migration_config)` at a settled ancestor
-   returns the same state as under the binop channel.
-3. **Continuing a migrated thread**: driving one more super-step after
-   migration produces a state that includes the pre-migration settled
-   prefix plus the new delta write — proving `from_checkpoint(seed)` +
-   `replay_writes` correctly fold post-migration deltas onto the
-   pre-migration seed.
-4. **Base-saver fallback path**: a third-party-style subclass that
-   removes the optimized `InMemorySaver` override and falls back to
-   `BaseCheckpointSaver.get_delta_channel_history` must produce the same
-   result as the optimized path.
-5. **Channel-type isolation across threads**: two threads on the same
-   checkpointer under the delta-channel graph — one freshly-started,
-   one migrated from pre-migration state — don't cross-contaminate.
-   The parent-chain walk is scoped to the thread.
-
-TODO: add postgres variants in the existing `libs/checkpoint-postgres`
-test files (different fixture setup; not this file).
-"""
-
-from __future__ import annotations
-
-import operator
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.messages import AIMessage, HumanMessage
-from langgraph.checkpoint.memory import InMemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, START, StateGraph
-from langgraph.graph.message import _messages_delta_reducer, add_messages
-
-pytestmark = pytest.mark.anyio
-
-
-# ---------------------------------------------------------------------------
-# Graph factories
-#
-# A minimal reducer (`operator.add` on lists of str) with a noop node keeps
-# state change localized to the HumanMessage-like payload passed through
-# `invoke`. That isolates the pre/post-migration parity assertions to
-# channel-hydration semantics.
-# ---------------------------------------------------------------------------
-
-
-def _noop(_state: Any) -> dict:
-    return {}
-
-
-def _list_concat(state: list, writes: list) -> list:
-    result = list(state)
-    for w in writes:
-        result.extend(w if isinstance(w, list) else [w])
-    return result
-
-
-def _binop_graph(checkpointer: Any) -> Any:
-    class BinopState(TypedDict):
-        items: Annotated[list, BinaryOperatorAggregate(list, operator.add)]
-
-    return (
-        StateGraph(BinopState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def _delta_graph(checkpointer: Any) -> Any:
-    class DeltaState(TypedDict):
-        items: Annotated[list, DeltaChannel(_list_concat)]
-
-    return (
-        StateGraph(DeltaState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def _drive(graph: Any, config: dict, tag: str, n: int) -> None:
-    for i in range(n):
-        graph.invoke({"items": [f"{tag}{i}"]}, config)
-
-
-async def _adrive(graph: Any, config: dict, tag: str, n: int) -> None:
-    for i in range(n):
-        await graph.ainvoke({"items": [f"{tag}{i}"]}, config)
-
-
-def _settled_boundaries(history: list) -> list[tuple[dict, list]]:
-    """Return `[(config, items), ...]` for every checkpoint in `history`
-    whose `next == ('__start__',)` — the stable boundaries between invokes.
-    """
-    return [
-        (s.config, list(s.values.get("items", [])))
-        for s in history
-        if s.next == ("__start__",)
-    ]
-
-
-# ---------------------------------------------------------------------------
-# 1. Basic migration (sync + async)
-# ---------------------------------------------------------------------------
-
-
-def test_basic_migration_preserves_pre_migration_state() -> None:
-    """Build state under `BinaryOperatorAggregate`, migrate to
-    `DeltaChannel` on the same checkpointer, and verify that every
-    settled pre-migration super-step boundary round-trips exactly.
-
-    Settled boundaries (`next=('__start__',)`) are the stable hydration
-    targets for the migration path: writes that produced the NEXT
-    super-step are kept as `pending_writes` on the ancestor, so walking
-    from a descendant finds the ancestor's blob as the seed and
-    reconstructs the correct state.
-    """
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "basic-sync"}}
-
-    # Pre-migration: accumulate items across 3 invokes.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 3)
-
-    pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
-    assert len(pre_boundaries) >= 2, "expected multiple settled boundaries"
-
-    # Migrate: swap the annotation on the same checkpointer.
-    delta = _delta_graph(checkpointer)
-
-    for cfg, items in pre_boundaries:
-        snap = delta.get_state(cfg)
-        assert list(snap.values.get("items", [])) == items, (
-            f"snapshot mismatch at {cfg['configurable']['checkpoint_id']}: "
-            f"expected {items}, got {snap.values.get('items', [])}"
-        )
-
-
-async def test_basic_migration_preserves_pre_migration_state_async() -> None:
-    """Async variant of the basic migration scenario."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "basic-async"}}
-
-    binop = _binop_graph(checkpointer)
-    await _adrive(binop, config, "u", 3)
-
-    pre_history = [s async for s in binop.aget_state_history(config)]
-    pre_boundaries = _settled_boundaries(pre_history)
-    assert len(pre_boundaries) >= 2
-
-    delta = _delta_graph(checkpointer)
-
-    for cfg, items in pre_boundaries:
-        snap = await delta.aget_state(cfg)
-        assert list(snap.values.get("items", [])) == items, (
-            f"async snapshot mismatch at {cfg['configurable']['checkpoint_id']}"
-        )
-
-
-# ---------------------------------------------------------------------------
-# 2. Time travel into a pre-migration checkpoint after migration
-# ---------------------------------------------------------------------------
-
-
-def test_time_travel_into_pre_migration_checkpoint() -> None:
-    """After migration, `graph.get_state(pre_migration_config)` at a
-    settled ancestor returns the state as stored at that point."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "time-travel"}}
-
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 3)
-
-    pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
-    assert pre_boundaries, "no settled ancestors to time-travel to"
-
-    delta = _delta_graph(checkpointer)
-
-    # Pick the oldest non-empty boundary — a long distance to walk back.
-    non_empty = [(cfg, items) for cfg, items in pre_boundaries if items]
-    assert non_empty, "expected at least one non-empty boundary"
-    target_cfg, expected_items = non_empty[-1]
-
-    snap = delta.get_state(target_cfg)
-    assert list(snap.values.get("items", [])) == expected_items
-
-
-# ---------------------------------------------------------------------------
-# 3. Continuing a migrated thread: deltas fold onto pre-migration seed
-# ---------------------------------------------------------------------------
-
-
-def test_continuing_migrated_thread_folds_deltas_on_seed() -> None:
-    """Resume a pre-migration settled ancestor via `invoke(None, cfg)`
-    under the delta-channel graph. Since the pre-migration checkpoint
-    has an existing `pending_writes` entry (the input for the NEXT
-    super-step), re-running from that ancestor reproduces the same
-    post-ancestor state as the original binop run.
-
-    This proves the seed-terminator + write-replay pipeline works
-    end-to-end across the migration boundary.
-    """
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "continue"}}
-
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 2)
-
-    # Pick the oldest settled boundary with non-empty state.
-    pre_boundaries = _settled_boundaries(list(binop.get_state_history(config)))
-    target_cfg, seed_items = next(
-        (cfg, items) for cfg, items in reversed(pre_boundaries) if items
-    )
-    assert seed_items, "need a non-empty seed boundary"
-
-    # Migrate and resume from the pre-migration ancestor. `invoke(None,
-    # cfg)` replays the pending writes staged at `cfg` under the new
-    # channel; the reducer folds those deltas onto the seed.
-    delta = _delta_graph(checkpointer)
-    result = delta.invoke(None, target_cfg)
-
-    # The resumed state must include the pre-migration seed items in order.
-    result_items = list(result.get("items", []))
-    for idx, prefix_item in enumerate(seed_items):
-        assert result_items[idx] == prefix_item, (
-            f"pre-migration seed item at {idx} not preserved: "
-            f"got {result_items[: idx + 1]}, expected {seed_items}"
-        )
-
-
-# ---------------------------------------------------------------------------
-# 4. Base-saver fallback path
-# ---------------------------------------------------------------------------
-
-
-class _ThirdPartyStyleSaver(InMemorySaver):
-    """Simulates a third-party saver that inherits the reference
-    `get_delta_channel_history` implementation from `BaseCheckpointSaver`
-    rather than overriding it.
-
-    We rebind the two methods to the base-class versions (via MRO) so
-    the fallback path is exercised even though the storage layer is
-    still the in-memory one.
-    """
-
-    # MRO: [_ThirdPartyStyleSaver, InMemorySaver, BaseCheckpointSaver, ...]
-    get_delta_channel_history = (  # type: ignore[assignment]
-        InMemorySaver.__mro__[1].get_delta_channel_history  # type: ignore[attr-defined]
-    )
-    aget_delta_channel_history = (  # type: ignore[assignment]
-        InMemorySaver.__mro__[1].aget_delta_channel_history  # type: ignore[attr-defined]
-    )
-
-
-def test_base_saver_fallback_matches_optimized_override() -> None:
-    """The reference `BaseCheckpointSaver` implementation must produce
-    the same migration behavior as the optimized `InMemorySaver`
-    override. We drive the same migration scenario through both savers
-    and assert per-snapshot parity in the delta-channel view."""
-
-    # Fast path: optimized InMemorySaver override.
-    fast_saver = InMemorySaver()
-    fast_config = {"configurable": {"thread_id": "fast"}}
-    fast_binop = _binop_graph(fast_saver)
-    _drive(fast_binop, fast_config, "u", 3)
-    fast_delta = _delta_graph(fast_saver)
-    fast_history = [
-        (s.next, list(s.values.get("items", [])))
-        for s in fast_delta.get_state_history(fast_config)
-    ]
-
-    # Slow path: base-class fallback.
-    slow_saver = _ThirdPartyStyleSaver()
-    slow_config = {"configurable": {"thread_id": "slow"}}
-    slow_binop = _binop_graph(slow_saver)
-    _drive(slow_binop, slow_config, "u", 3)
-    slow_delta = _delta_graph(slow_saver)
-    slow_history = [
-        (s.next, list(s.values.get("items", [])))
-        for s in slow_delta.get_state_history(slow_config)
-    ]
-
-    assert slow_history == fast_history, (
-        "base-saver fallback should match optimized-override behavior; "
-        f"fast={fast_history}, slow={slow_history}"
-    )
-
-
-# ---------------------------------------------------------------------------
-# 5. Thread isolation under mixed-generation storage
-# ---------------------------------------------------------------------------
-
-
-def test_delta_and_migrated_threads_do_not_cross_contaminate() -> None:
-    """Two threads sharing a checkpointer — one migrated from
-    pre-migration state, one freshly-started under DeltaChannel — must
-    maintain independent state. The parent-chain walk in
-    `get_delta_channel_history` must be scoped to the target thread.
-    """
-
-    checkpointer = InMemorySaver()
-    migrated_cfg = {"configurable": {"thread_id": "migrated"}}
-    fresh_cfg = {"configurable": {"thread_id": "fresh"}}
-
-    # Thread A: pre-migration build-up.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, migrated_cfg, "m", 2)
-
-    # Thread B: fresh delta-channel run.
-    delta = _delta_graph(checkpointer)
-    _drive(delta, fresh_cfg, "f", 2)
-
-    # Thread A: migrate and confirm its state is anchored in its own
-    # thread's pre-migration history (tag 'm'), never mixing in tag 'f'.
-    migrated_boundaries = _settled_boundaries(
-        list(delta.get_state_history(migrated_cfg))
-    )
-    assert migrated_boundaries, "migrated thread has no settled boundaries"
-    for _, items in migrated_boundaries:
-        for it in items:
-            assert it.startswith("m"), (
-                f"migrated thread leaked item from other thread: {it}"
-            )
-
-    # Thread B: settled boundaries must only contain 'f' tags.
-    fresh_boundaries = _settled_boundaries(list(delta.get_state_history(fresh_cfg)))
-    assert fresh_boundaries, "fresh thread has no settled boundaries"
-    for _, items in fresh_boundaries:
-        for it in items:
-            assert it.startswith("f"), (
-                f"fresh thread leaked item from migrated thread: {it}"
-            )
-
-
-# ---------------------------------------------------------------------------
-# 6. Tip-of-pre-migration hydration: the latest checkpoint from a binop-run
-# thread has a real accumulated value in its own `channel_values["items"]`.
-# When hydrated under the delta-channel graph via `get_state(config)` with no
-# `checkpoint_id`, the short-circuit must use that value directly instead of
-# walking ancestors (which would skip the tip's own blob).
-# ---------------------------------------------------------------------------
-
-
-def test_tip_of_pre_migration_hydrates_directly() -> None:
-    """`graph.get_state(config)` at the latest (pre-migration) checkpoint
-    returns the full accumulated list stored in that checkpoint's own
-    `channel_values`. The hydration must not walk ancestors past it."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "tip-sync"}}
-
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 3)
-
-    binop_tip = binop.get_state(config)
-    expected_items = list(binop_tip.values.get("items", []))
-    assert expected_items == ["u0", "u1", "u2"], (
-        f"sanity: pre-migration tip should accumulate all 3 items, got {expected_items}"
-    )
-
-    delta = _delta_graph(checkpointer)
-
-    snap = delta.get_state(config)
-    assert list(snap.values.get("items", [])) == expected_items, (
-        f"tip hydration mismatch: expected {expected_items}, "
-        f"got {snap.values.get('items', [])}"
-    )
-
-
-async def test_tip_of_pre_migration_hydrates_directly_async() -> None:
-    """Async variant of the tip-of-pre-migration hydration scenario."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "tip-async"}}
-
-    binop = _binop_graph(checkpointer)
-    await _adrive(binop, config, "u", 3)
-
-    binop_tip = await binop.aget_state(config)
-    expected_items = list(binop_tip.values.get("items", []))
-    assert expected_items == ["u0", "u1", "u2"]
-
-    delta = _delta_graph(checkpointer)
-
-    snap = await delta.aget_state(config)
-    assert list(snap.values.get("items", [])) == expected_items, (
-        f"async tip hydration mismatch: expected {expected_items}, "
-        f"got {snap.values.get('items', [])}"
-    )
-
-
-# ---------------------------------------------------------------------------
-# 7. `update_state` after migration writes a real value to the new
-# checkpoint's `channel_values` (not a sentinel). Hydration must use it
-# directly — the ancestor walk would skip this blob and return stale state.
-# ---------------------------------------------------------------------------
-
-
-def test_update_state_after_migration_uses_written_value() -> None:
-    """After migrating and running at least one post-migration super-step
-    (so the thread's tip has its delta channel absent from `channel_values`,
-    or stored as a `_DeltaSnapshot` on a snapshot step), `update_state`
-    writes a concrete value into a new checkpoint's `channel_values`.
-    `get_state` must reflect that concrete value."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "update-state"}}
-
-    # Pre-migration: accumulate a little state.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 2)
-
-    # Migrate and run one more super-step so the tip is a post-migration
-    # checkpoint where the delta channel is absent from `channel_values`
-    # (no snapshot fired this step).
-    delta = _delta_graph(checkpointer)
-    delta.invoke({"items": ["post"]}, config)
-
-    # `update_state` writes a concrete value into a new checkpoint's blob
-    # via the reducer against the hydrated prior state.
-    delta.update_state(config, {"items": ["x", "y"]})
-
-    snap = delta.get_state(config)
-    updated_items = list(snap.values.get("items", []))
-    # Must include the "x","y" update; without the hydration fix, the
-    # update_state-written blob would be skipped in favor of an ancestor
-    # walk, and the update values would disappear.
-    assert "x" in updated_items and "y" in updated_items, (
-        f"update_state values missing from snapshot: {updated_items}"
-    )
-    # The "x","y" items should be folded onto the prior accumulated state,
-    # not stand alone. This verifies the update-written blob is used
-    # directly by `get_state` (no ancestor walk past it).
-    assert len(updated_items) >= 4, (
-        f"update_state snapshot should preserve pre-update state, got {updated_items}"
-    )
-    assert updated_items[-2:] == ["x", "y"], (
-        f"update_state deltas should be at the tail, got {updated_items}"
-    )
-
-
-# ---------------------------------------------------------------------------
-# 8. Fork from an `update_state` checkpoint: a new run branched off the
-# update_state-produced checkpoint must see that checkpoint's concrete
-# `channel_values` as its base, with new deltas folded on top.
-# ---------------------------------------------------------------------------
-
-
-def test_fork_from_update_state_checkpoint() -> None:
-    """Branching a new run from the checkpoint produced by `update_state`
-    must use that checkpoint's concrete blob as the base. Additional
-    deltas from the forked run fold onto it through the reducer."""
-
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "fork"}}
-
-    # Pre-migration build-up, then migrate and add one post-migration step.
-    binop = _binop_graph(checkpointer)
-    _drive(binop, config, "u", 2)
-    delta = _delta_graph(checkpointer)
-    delta.invoke({"items": ["post"]}, config)
-
-    # Apply `update_state` and capture the returned config (references
-    # the new checkpoint produced by the update).
-    update_cfg = delta.update_state(config, {"items": ["x", "y"]})
-
-    update_snap = delta.get_state(update_cfg)
-    base_items = list(update_snap.values.get("items", []))
-    assert "x" in base_items and "y" in base_items, (
-        f"update_state values missing from snapshot: {base_items}"
-    )
-    assert base_items[-2:] == ["x", "y"], (
-        f"sanity: update_state deltas should be at the tail, got {base_items}"
-    )
-
-    # Fork: invoke from the update_state checkpoint with a new delta.
-    forked = delta.invoke({"items": ["fork0"]}, update_cfg)
-    forked_items = list(forked.get("items", []))
-    # The fork must see the update_state-written blob as its base (not
-    # walk past it), and the new delta must fold on top of it.
-    assert forked_items[: len(base_items)] == base_items, (
-        f"fork lost update_state base: base={base_items}, forked={forked_items}"
-    )
-    assert forked_items[-1] == "fork0", f"fork delta not appended: {forked_items}"
-
-
-# ---------------------------------------------------------------------------
-# 9. Migration from `add_messages` → `DeltaChannel(_messages_delta_reducer)`
-#
-# `add_messages` is the primary real-world use case: it creates a
-# BinaryOperatorAggregate with dedup-by-ID and RemoveMessage semantics.
-# After swapping the annotation to DeltaChannel, pre-migration blobs
-# (plain lists of Message objects) must be used directly as the seed.
-# ---------------------------------------------------------------------------
-
-
-def _add_messages_graph(checkpointer: Any) -> Any:
-    class MessagesState(TypedDict):
-        messages: Annotated[list, add_messages]
-
-    return (
-        StateGraph(MessagesState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def _delta_messages_graph(checkpointer: Any) -> Any:
-    class DeltaMessagesState(TypedDict):
-        messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-    return (
-        StateGraph(DeltaMessagesState)
-        .add_node("noop", _noop)
-        .add_edge(START, "noop")
-        .add_edge("noop", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def test_add_messages_to_delta_migration_preserves_message_history() -> None:
-    """Migration from `add_messages` to `DeltaChannel(_messages_delta_reducer)`
-    preserves message ordering and IDs at both the tip and settled ancestor
-    boundaries.
-
-    The pre-migration blob is a plain list of Message objects; DeltaChannel
-    must use it directly as the seed without walking ancestors past it.
-    """
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "add-messages-migration"}}
-
-    pre_graph = _add_messages_graph(checkpointer)
-    pre_graph.invoke({"messages": [HumanMessage(content="hello", id="h1")]}, config)
-    pre_graph.invoke({"messages": [AIMessage(content="hi", id="a1")]}, config)
-    pre_graph.invoke({"messages": [HumanMessage(content="thanks", id="h2")]}, config)
-
-    pre_tip = pre_graph.get_state(config)
-    assert [m.id for m in pre_tip.values["messages"]] == ["h1", "a1", "h2"]
-
-    delta_graph = _delta_messages_graph(checkpointer)
-
-    # Tip: latest checkpoint has a full list blob — must use it directly.
-    snap = delta_graph.get_state(config)
-    assert [m.id for m in snap.values["messages"]] == ["h1", "a1", "h2"], (
-        f"tip hydration mismatch: got {[m.id for m in snap.values['messages']]}"
-    )
-
-    # Settled ancestor boundaries must also match.
-    pre_settled = [
-        [m.id for m in s.values.get("messages", [])]
-        for s in pre_graph.get_state_history(config)
-        if s.next == ("__start__",)
-    ]
-    delta_settled = [
-        [m.id for m in s.values.get("messages", [])]
-        for s in delta_graph.get_state_history(config)
-        if s.next == ("__start__",)
-    ]
-    assert delta_settled == pre_settled, (
-        f"settled boundary mismatch after migration: "
-        f"pre={pre_settled}, delta={delta_settled}"
-    )
-
-
-async def test_add_messages_to_delta_migration_preserves_message_history_async() -> (
-    None
-):
-    """Async variant of the add_messages migration test."""
-    checkpointer = InMemorySaver()
-    config = {"configurable": {"thread_id": "add-messages-migration-async"}}
-
-    pre_graph = _add_messages_graph(checkpointer)
-    await pre_graph.ainvoke(
-        {"messages": [HumanMessage(content="hello", id="h1")]}, config
-    )
-    await pre_graph.ainvoke({"messages": [AIMessage(content="hi", id="a1")]}, config)
-
-    delta_graph = _delta_messages_graph(checkpointer)
-    snap = await delta_graph.aget_state(config)
-    assert [m.id for m in snap.values["messages"]] == ["h1", "a1"], (
-        f"async tip hydration mismatch: got {[m.id for m in snap.values['messages']]}"
-    )
@@ -1,344 +0,0 @@
-from __future__ import annotations
-
-import sys
-from typing import Any
-
-import pytest
-from langchain_core.callbacks.base import BaseCallbackHandler
-from langchain_core.callbacks.manager import CallbackManager
-from langgraph.checkpoint.memory import InMemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.callbacks import (
-    GraphCallbackHandler,
-    GraphInterruptEvent,
-    GraphResumeEvent,
-)
-from langgraph.graph import START, StateGraph
-from langgraph.types import Command, Interrupt, interrupt
-
-NEEDS_CONTEXTVARS = pytest.mark.skipif(
-    sys.version_info < (3, 11),
-    reason="Python 3.11+ is required for async contextvars support",
-)
-
-
-class _GraphEventHandler(GraphCallbackHandler):
-    def __init__(self) -> None:
-        self.interrupt_events: list[GraphInterruptEvent] = []
-        self.resume_events: list[GraphResumeEvent] = []
-
-    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
-        self.interrupt_events.append(event)
-
-    def on_resume(self, event: GraphResumeEvent) -> Any:
-        self.resume_events.append(event)
-
-
-class _LangChainCustomEventHandler(BaseCallbackHandler):
-    run_inline = True
-
-    def __init__(self) -> None:
-        self.events: list[str] = []
-
-    def on_custom_event(self, name: str, data: Any, **kwargs: Any) -> Any:
-        self.events.append(name)
-
-
-class _RaisingGraphEventHandler(GraphCallbackHandler):
-    def __init__(
-        self,
-        *,
-        raise_on_interrupt: bool = False,
-        raise_on_resume: bool = False,
-        raise_error: bool = False,
-    ) -> None:
-        self.raise_on_interrupt = raise_on_interrupt
-        self.raise_on_resume = raise_on_resume
-        self.raise_error = raise_error
-
-    def on_interrupt(self, event: GraphInterruptEvent) -> Any:
-        if self.raise_on_interrupt:
-            raise ValueError("boom-interrupt")
-
-    def on_resume(self, event: GraphResumeEvent) -> Any:
-        if self.raise_on_resume:
-            raise ValueError("boom-resume")
-
-
-class _AsyncRaisingGraphEventHandler(GraphCallbackHandler):
-    def __init__(
-        self,
-        *,
-        raise_on_interrupt: bool = False,
-        raise_on_resume: bool = False,
-        raise_error: bool = False,
-    ) -> None:
-        self.raise_on_interrupt = raise_on_interrupt
-        self.raise_on_resume = raise_on_resume
-        self.raise_error = raise_error
-
-    async def on_interrupt(self, event: GraphInterruptEvent) -> Any:
-        if self.raise_on_interrupt:
-            raise ValueError("boom-interrupt")
-
-    async def on_resume(self, event: GraphResumeEvent) -> Any:
-        if self.raise_on_resume:
-            raise ValueError("boom-resume")
-
-
-class _State(TypedDict):
-    answer: str | None
-
-
-def _build_interrupt_graph() -> Any:
-    def ask(state: _State) -> _State:
-        answer = interrupt("Provide value")
-        return {"answer": answer}
-
-    builder = StateGraph(_State)
-    builder.add_node("ask", ask)
-    builder.add_edge(START, "ask")
-    return builder.compile(checkpointer=InMemorySaver())
-
-
-def test_graph_callbacks_interrupt_and_resume_sync() -> None:
-    graph = _build_interrupt_graph()
-    handler = _GraphEventHandler()
-    langchain_handler = _LangChainCustomEventHandler()
-    config = {
-        "configurable": {"thread_id": "graph-callback-sync"},
-        "callbacks": [langchain_handler, handler],
-    }
-
-    first = graph.invoke({"answer": None}, config)
-    assert "__interrupt__" in first
-
-    assert len(handler.interrupt_events) == 1
-    assert handler.interrupt_events[0].interrupts
-    assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
-    assert handler.interrupt_events[0].checkpoint_ns == ()
-    assert langchain_handler.events == []
-
-    handler.resume_events.clear()
-    resumed = graph.invoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-
-    assert len(handler.resume_events) == 1
-    assert handler.resume_events[0].checkpoint_ns == ()
-    assert langchain_handler.events == []
-
-
-@pytest.mark.anyio
-@NEEDS_CONTEXTVARS
-async def test_graph_callbacks_interrupt_and_resume_async() -> None:
-    graph = _build_interrupt_graph()
-    handler = _GraphEventHandler()
-    langchain_handler = _LangChainCustomEventHandler()
-    config = {
-        "configurable": {"thread_id": "graph-callback-async"},
-        "callbacks": [langchain_handler, handler],
-    }
-
-    first = await graph.ainvoke({"answer": None}, config)
-    assert "__interrupt__" in first
-
-    assert len(handler.interrupt_events) == 1
-    assert handler.interrupt_events[0].interrupts
-    assert isinstance(handler.interrupt_events[0].interrupts[0], Interrupt)
-    assert handler.interrupt_events[0].checkpoint_ns == ()
-    assert langchain_handler.events == []
-
-    handler.resume_events.clear()
-    resumed = await graph.ainvoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-
-    assert len(handler.resume_events) == 1
-    assert handler.resume_events[0].checkpoint_ns == ()
-    assert langchain_handler.events == []
-
-
-def test_graph_callbacks_continue_when_interrupt_handler_raises_sync() -> None:
-    graph = _build_interrupt_graph()
-    raising_handler = _RaisingGraphEventHandler(raise_on_interrupt=True)
-    recording_handler = _GraphEventHandler()
-
-    first = graph.invoke(
-        {"answer": None},
-        {
-            "configurable": {"thread_id": "graph-callback-sync-raises"},
-            "callbacks": [raising_handler, recording_handler],
-        },
-    )
-
-    assert "__interrupt__" in first
-    assert len(recording_handler.interrupt_events) == 1
-
-
-def test_graph_callbacks_continue_when_resume_handler_raises_sync() -> None:
-    graph = _build_interrupt_graph()
-    raising_handler = _RaisingGraphEventHandler(raise_on_resume=True)
-    recording_handler = _GraphEventHandler()
-    config = {
-        "configurable": {"thread_id": "graph-callback-sync-raises-resume"},
-        "callbacks": [raising_handler, recording_handler],
-    }
-
-    first = graph.invoke({"answer": None}, config)
-    assert "__interrupt__" in first
-
-    resumed = graph.invoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-    assert len(recording_handler.resume_events) == 1
-
-
-def test_graph_callbacks_raise_error_propagates_sync() -> None:
-    graph = _build_interrupt_graph()
-    raising_handler = _RaisingGraphEventHandler(
-        raise_on_interrupt=True,
-        raise_error=True,
-    )
-
-    with pytest.raises(ValueError, match="boom-interrupt"):
-        graph.invoke(
-            {"answer": None},
-            {
-                "configurable": {"thread_id": "graph-callback-sync-raise-error"},
-                "callbacks": [raising_handler],
-            },
-        )
-
-
-@pytest.mark.anyio
-@NEEDS_CONTEXTVARS
-async def test_graph_callbacks_continue_when_handler_raises_async() -> None:
-    graph = _build_interrupt_graph()
-    raising_interrupt_handler = _AsyncRaisingGraphEventHandler(raise_on_interrupt=True)
-    recording_handler = _GraphEventHandler()
-    config = {
-        "configurable": {"thread_id": "graph-callback-async-raises-interrupt"},
-        "callbacks": [raising_interrupt_handler, recording_handler],
-    }
-
-    first = await graph.ainvoke({"answer": None}, config)
-    assert "__interrupt__" in first
-    assert len(recording_handler.interrupt_events) == 1
-
-    graph = _build_interrupt_graph()
-    raising_resume_handler = _AsyncRaisingGraphEventHandler(raise_on_resume=True)
-    recording_handler = _GraphEventHandler()
-    config = {
-        "configurable": {"thread_id": "graph-callback-async-raises-resume"},
-        "callbacks": [raising_resume_handler, recording_handler],
-    }
-
-    first = await graph.ainvoke({"answer": None}, config)
-    assert "__interrupt__" in first
-    resumed = await graph.ainvoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-    assert len(recording_handler.resume_events) == 1
-
-
-@pytest.mark.anyio
-@NEEDS_CONTEXTVARS
-async def test_graph_callbacks_raise_error_propagates_async() -> None:
-    graph = _build_interrupt_graph()
-    raising_handler = _AsyncRaisingGraphEventHandler(
-        raise_on_interrupt=True,
-        raise_error=True,
-    )
-
-    with pytest.raises(ValueError, match="boom-interrupt"):
-        await graph.ainvoke(
-            {"answer": None},
-            {
-                "configurable": {"thread_id": "graph-callback-async-raise-error"},
-                "callbacks": [raising_handler],
-            },
-        )
-
-
-def test_graph_callbacks_accept_base_callback_manager() -> None:
-    graph = _build_interrupt_graph()
-    graph_handler = _GraphEventHandler()
-    custom_handler = _LangChainCustomEventHandler()
-    manager = CallbackManager.configure(inheritable_callbacks=[custom_handler])
-    manager.add_handler(graph_handler)
-
-    first = graph.invoke(
-        {"answer": None},
-        {
-            "configurable": {"thread_id": "graph-callback-base-manager"},
-            "callbacks": manager,
-        },
-    )
-
-    assert "__interrupt__" in first
-    assert len(graph_handler.interrupt_events) == 1
-
-
-def test_non_graph_handler_via_add_handler_does_not_crash() -> None:
-    """Non-GraphCallbackHandler added via add_handler should not raise.
-
-    Libraries like opentelemetry-instrumentation-langchain monkey-patch
-    BaseCallbackManager.__init__ and inject handlers via add_handler().
-    These handlers inherit from BaseCallbackHandler, not
-    GraphCallbackHandler. They must be silently accepted — graph lifecycle
-    events will simply not be dispatched to them.
-    """
-    from langgraph.callbacks import _GraphCallbackManager
-
-    manager = _GraphCallbackManager()
-    plain_handler = _LangChainCustomEventHandler()
-
-    manager.add_handler(plain_handler, inherit=True)
-    assert plain_handler in manager.handlers
-
-
-def test_non_graph_handler_does_not_receive_lifecycle_events() -> None:
-    """Non-GraphCallbackHandler added alongside a GraphCallbackHandler
-    should not interfere with lifecycle event dispatch."""
-    graph = _build_interrupt_graph()
-    graph_handler = _GraphEventHandler()
-    plain_handler = _LangChainCustomEventHandler()
-
-    config = {
-        "configurable": {"thread_id": "graph-callback-mixed-handlers"},
-        "callbacks": [plain_handler, graph_handler],
-    }
-
-    first = graph.invoke({"answer": None}, config)
-    assert "__interrupt__" in first
-
-    assert len(graph_handler.interrupt_events) == 1
-    assert plain_handler.events == []
-
-    resumed = graph.invoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-    assert len(graph_handler.resume_events) == 1
-    assert plain_handler.events == []
-
-
-@pytest.mark.anyio
-@NEEDS_CONTEXTVARS
-async def test_non_graph_handler_does_not_receive_lifecycle_events_async() -> None:
-    """Async variant: non-GraphCallbackHandler should not interfere."""
-    graph = _build_interrupt_graph()
-    graph_handler = _GraphEventHandler()
-    plain_handler = _LangChainCustomEventHandler()
-
-    config = {
-        "configurable": {"thread_id": "graph-callback-mixed-handlers-async"},
-        "callbacks": [plain_handler, graph_handler],
-    }
-
-    first = await graph.ainvoke({"answer": None}, config)
-    assert "__interrupt__" in first
-
-    assert len(graph_handler.interrupt_events) == 1
-    assert plain_handler.events == []
-
-    resumed = await graph.ainvoke(Command(resume="done"), config)
-    assert resumed == {"answer": "done"}
-    assert len(graph_handler.resume_events) == 1
-    assert plain_handler.events == []
@@ -0,0 +1,623 @@
+import asyncio
+from typing import Annotated, Any
+
+import pytest
+from langchain_core.messages import AIMessage, HumanMessage
+from pydantic import BaseModel
+from typing_extensions import TypedDict
+
+from langgraph.config import get_stream_writer
+from langgraph.graph import END, START, MessagesState, StateGraph
+from langgraph.stream import AsyncChatModelStream, StreamingHandler
+from langgraph.stream._types import ProtocolEvent, StreamTransformer
+from tests.fake_chat import FakeChatModel
+
+
+class State(TypedDict):
+    value: str
+    items: Annotated[list[str], lambda a, b: a + b]
+
+
+def make_simple_graph():
+    def node_a(state):
+        return {"value": state["value"] + "_a", "items": ["a"]}
+
+    def node_b(state):
+        return {"value": state["value"] + "_b", "items": ["b"]}
+
+    graph = StateGraph(State)
+    graph.add_node("node_a", node_a)
+    graph.add_node("node_b", node_b)
+    graph.add_edge(START, "node_a")
+    graph.add_edge("node_a", "node_b")
+    graph.add_edge("node_b", END)
+    return graph.compile()
+
+
+@pytest.mark.anyio
+async def test_output():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+    output = await run.output
+    assert output == {"value": "x_a_b", "items": ["a", "b"]}
+
+
+@pytest.mark.anyio
+async def test_values_iteration():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    snapshots = []
+    async for v in run.values:
+        snapshots.append(v)
+
+    assert len(snapshots) == 3
+    assert snapshots[0]["value"] == "x"
+    assert snapshots[1]["value"] == "x_a"
+    assert snapshots[2]["value"] == "x_a_b"
+
+
+@pytest.mark.anyio
+async def test_updates_in_raw_events():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    updates = []
+    async for event in run:
+        if event["method"] == "updates":
+            updates.append(event["params"]["data"])
+
+    assert len(updates) == 2
+    assert "node_a" in updates[0]
+    assert "node_b" in updates[1]
+
+
+@pytest.mark.anyio
+async def test_messages_with_chat_model():
+    model = FakeChatModel(messages=[AIMessage(content="Hello world")])
+
+    def agent(state):
+        return {"messages": [model.invoke(state["messages"])]}
+
+    graph = StateGraph(MessagesState)
+    graph.add_node("agent", agent)
+    graph.add_edge(START, "agent")
+    graph.add_edge("agent", END)
+    compiled = graph.compile()
+
+    run = await StreamingHandler(compiled).astream(
+        {"messages": [HumanMessage(content="hi")]}
+    )
+    await asyncio.sleep(0.1)
+
+    messages_seen = []
+    async for msg in run.messages:
+        messages_seen.append(msg)
+
+    assert len(messages_seen) >= 1
+    msg = messages_seen[0]
+    assert isinstance(msg, AsyncChatModelStream)
+    text = await msg.text
+    assert text == "Hello world"
+
+
+@pytest.mark.anyio
+async def test_custom_events():
+    def node(state):
+        writer = get_stream_writer()
+        writer("hello")
+        writer(42)
+        return {"value": state["value"] + "_a", "items": ["a"]}
+
+    graph = StateGraph(State)
+    graph.add_node("node_a", node)
+    graph.add_edge(START, "node_a")
+    graph.add_edge("node_a", END)
+    compiled = graph.compile()
+
+    run = await StreamingHandler(compiled).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    custom_payloads = []
+    async for event in run:
+        if event["method"] == "custom":
+            custom_payloads.append(event["params"]["data"])
+
+    assert "hello" in custom_payloads
+    assert 42 in custom_payloads
+
+
+@pytest.mark.anyio
+async def test_multiple_modes_present():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    methods = set()
+    async for event in run:
+        methods.add(event["method"])
+
+    assert {"values", "updates", "tasks", "debug"} <= methods
+
+
+@pytest.mark.anyio
+async def test_interrupted_false():
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+    async for _ in run:
+        pass
+    assert run.interrupted is False
+
+
+@pytest.mark.anyio
+async def test_regression_v1_stream_unchanged():
+    graph = make_simple_graph()
+    chunks = []
+    async for chunk in graph.astream(
+        {"value": "x", "items": []}, stream_mode="values", version="v1"
+    ):
+        chunks.append(chunk)
+    for chunk in chunks:
+        assert isinstance(chunk, dict)
+
+
+@pytest.mark.anyio
+async def test_regression_v2_stream_unchanged():
+    graph = make_simple_graph()
+    chunks = []
+    async for chunk in graph.astream(
+        {"value": "x", "items": []}, stream_mode="values", version="v2"
+    ):
+        chunks.append(chunk)
+    assert len(chunks) >= 1
+    for chunk in chunks:
+        assert isinstance(chunk, dict)
+        assert "type" in chunk
+        assert chunk["type"] == "values"
+
+
+@pytest.mark.anyio
+async def test_regression_invoke_unchanged():
+    graph = make_simple_graph()
+    result = await graph.ainvoke({"value": "x", "items": []})
+    assert result == {"value": "x_a_b", "items": ["a", "b"]}
+
+
+def test_sync_stream_output():
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+    assert run.output == {"value": "x_a_b", "items": ["a", "b"]}
+
+
+def test_sync_stream_values():
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+    snapshots = list(run.values)
+    assert len(snapshots) == 3
+    assert snapshots[0]["value"] == "x"
+    assert snapshots[2]["value"] == "x_a_b"
+
+
+def test_sync_stream_raw_events():
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+    methods = {e["method"] for e in run}
+    assert {"values", "updates", "tasks", "debug"} <= methods
+
+
+# ---------------------------------------------------------------------------
+# Typed output (pydantic)
+# ---------------------------------------------------------------------------
+
+
+class ModelState(BaseModel):
+    value: str
+    items: Annotated[list[str], lambda a, b: a + b]
+
+
+def _make_model_state_graph():
+    def node_a(state):
+        return {"value": state.value + "_a", "items": ["a"]}
+
+    graph = StateGraph(ModelState)
+    graph.add_node("node_a", node_a)
+    graph.add_edge(START, "node_a")
+    graph.add_edge("node_a", END)
+    return graph.compile()
+
+
+@pytest.mark.anyio
+async def test_pydantic_output():
+    graph = _make_model_state_graph()
+    run = await StreamingHandler(graph).astream(ModelState(value="x", items=[]))
+    await asyncio.sleep(0.1)
+    output = await run.output
+    assert isinstance(output, ModelState)
+    assert output.value == "x_a"
+
+
+@pytest.mark.anyio
+async def test_pydantic_values():
+    graph = _make_model_state_graph()
+    run = await StreamingHandler(graph).astream(ModelState(value="x", items=[]))
+    await asyncio.sleep(0.1)
+    snapshots = []
+    async for v in run.values:
+        snapshots.append(v)
+    for v in snapshots:
+        assert isinstance(v, ModelState)
+
+
+def test_sync_pydantic_output():
+    graph = _make_model_state_graph()
+    run = StreamingHandler(graph).stream(ModelState(value="x", items=[]))
+    assert isinstance(run.output, ModelState)
+    assert run.output.value == "x_a"
+
+
+# ---------------------------------------------------------------------------
+# Interrupts
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.anyio
+async def test_interrupts():
+    from langgraph.checkpoint.memory import MemorySaver
+
+    from langgraph.types import interrupt
+
+    def ask_human(state: State):
+        answer = interrupt("what do you want?")
+        return {"value": state["value"] + f"_{answer}", "items": [answer]}
+
+    graph = StateGraph(State)
+    graph.add_node("ask", ask_human)
+    graph.add_edge(START, "ask")
+    graph.add_edge("ask", END)
+    compiled = graph.compile(checkpointer=MemorySaver())
+
+    config = {"configurable": {"thread_id": "t1"}}
+    run = await StreamingHandler(compiled).astream(
+        {"value": "x", "items": []}, config=config
+    )
+    await asyncio.sleep(0.1)
+    # Drain events
+    async for _ in run:
+        pass
+    assert run.interrupted is True
+    assert len(run.interrupts) > 0
+
+
+# ---------------------------------------------------------------------------
+# messages_from(node)
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.anyio
+async def test_messages_from_node():
+    model = FakeChatModel(messages=[AIMessage(content="from agent")])
+
+    def agent(state):
+        return {"messages": [model.invoke(state["messages"])]}
+
+    def postprocess(state):
+        return {"messages": state["messages"]}
+
+    graph = StateGraph(MessagesState)
+    graph.add_node("agent", agent)
+    graph.add_node("postprocess", postprocess)
+    graph.add_edge(START, "agent")
+    graph.add_edge("agent", "postprocess")
+    graph.add_edge("postprocess", END)
+    compiled = graph.compile()
+
+    run = await StreamingHandler(compiled).astream(
+        {"messages": [HumanMessage(content="hi")]}
+    )
+    await asyncio.sleep(0.1)
+
+    # All messages
+    all_msgs = []
+    async for m in run.messages:
+        all_msgs.append(m)
+    assert len(all_msgs) >= 1
+    # Node provenance should be set
+    assert all_msgs[0].node == "agent"
+
+
+# ---------------------------------------------------------------------------
+# Subgraph child stream
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.anyio
+async def test_subgraph_child_output():
+    """AsyncSubgraphRunStream.output should contain the child graph's final state."""
+
+    class ChildState(TypedDict):
+        value: str
+
+    class ParentState(TypedDict):
+        value: str
+
+    def child_node(state):
+        return {"value": state["value"] + "_child"}
+
+    child_graph = StateGraph(ChildState)
+    child_graph.add_node("child_node", child_node)
+    child_graph.add_edge(START, "child_node")
+    child_graph.add_edge("child_node", END)
+    # Add the compiled child as a node — this triggers LangGraph's
+    # subgraph streaming mechanism and emits child namespace events.
+    child_compiled = child_graph.compile()
+
+    parent_graph = StateGraph(ParentState)
+    parent_graph.add_node("child_node", child_compiled)
+    parent_graph.add_edge(START, "child_node")
+    parent_graph.add_edge("child_node", END)
+    parent_compiled = parent_graph.compile()
+
+    run = await StreamingHandler(parent_compiled).astream({"value": "x"})
+    await asyncio.sleep(0.1)
+
+    subgraph_streams = []
+    async for sub in run.subgraphs:
+        subgraph_streams.append(sub)
+
+    assert len(subgraph_streams) >= 1
+    child_output = await subgraph_streams[0].output
+    assert child_output is not None
+    assert child_output["value"] == "x_child"
+
+
+# ---------------------------------------------------------------------------
+# Custom reducers / .extensions
+# ---------------------------------------------------------------------------
+
+
+class _CountTransformer(StreamTransformer):
+    """Counts events. Exposes count via .value for extensions."""
+
+    name = "event_count"
+
+    def __init__(self) -> None:
+        self.value = 0
+
+    def init(self) -> Any:
+        return None
+
+    def process(self, event: ProtocolEvent) -> bool:
+        self.value += 1
+        return True
+
+    def finalize(self) -> None:
+        pass
+
+    def fail(self, err: BaseException) -> None:
+        pass
+
+
+@pytest.mark.anyio
+async def test_custom_reducer_extensions():
+    graph = make_simple_graph()
+    counter = _CountTransformer()
+    run = await StreamingHandler(graph).astream(
+        {"value": "x", "items": []}, transformers=[counter]
+    )
+    await asyncio.sleep(0.1)
+    async for _ in run:
+        pass
+    assert counter.value > 0
+    assert run.extensions["event_count"] == counter.value
+
+
+def test_sync_custom_reducer_extensions():
+    graph = make_simple_graph()
+    counter = _CountTransformer()
+    run = StreamingHandler(graph).stream(
+        {"value": "x", "items": []}, transformers=[counter]
+    )
+    for _ in run:
+        pass
+    assert counter.value > 0
+    assert run.extensions["event_count"] == counter.value
+
+
+# ---------------------------------------------------------------------------
+# Double iteration over .values
+# ---------------------------------------------------------------------------
+
+
+@pytest.mark.anyio
+async def test_async_values_double_iteration():
+    """Iterating over run.values twice should yield the same snapshots both times."""
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    first = []
+    async for v in run.values:
+        first.append(v)
+
+    second = []
+    async for v in run.values:
+        second.append(v)
+
+    assert len(first) == 3
+    assert first == second
+
+
+def test_sync_values_double_iteration():
+    """Iterating over run.values twice should yield the same snapshots both times."""
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+
+    first = list(run.values)
+    second = list(run.values)
+
+    assert len(first) == 3
+    assert first == second
+
+
+@pytest.mark.anyio
+async def test_async_raw_events_double_iteration():
+    """Iterating over the raw event stream twice should yield the same events."""
+    graph = make_simple_graph()
+    run = await StreamingHandler(graph).astream({"value": "x", "items": []})
+    await asyncio.sleep(0.1)
+
+    first = []
+    async for event in run:
+        first.append(event)
+
+    second = []
+    async for event in run:
+        second.append(event)
+
+    assert len(first) > 0
+    assert first == second
+
+
+def test_sync_raw_events_double_iteration():
+    """Iterating over the raw event stream twice should yield the same events."""
+    graph = make_simple_graph()
+    run = StreamingHandler(graph).stream({"value": "x", "items": []})
+
+    first = list(run)
+    second = list(run)
+
+    assert len(first) > 0
+    assert first == second
+
+
+# ---------------------------------------------------------------------------
+# Tool transformer via extensions
+# ---------------------------------------------------------------------------
+
+
+class _ToolExecution:
+    def __init__(self, tool_call_id: str, tool_name: str, input: Any, output: Any):
+        self.tool_call_id = tool_call_id
+        self.tool_name = tool_name
+        self.input = input
+        self.output = output
+
+
+class _ToolsTransformer(StreamTransformer):
+    """Groups tool-started/tool-finished custom events into _ToolExecution objects."""
+
+    name = "tools"
+
+    def __init__(self) -> None:
+        self._log: list[_ToolExecution] = []
+        self._pending: dict[str, dict] = {}
+        self.value = self._log
+
+    def init(self) -> Any:
+        return None
+
+    def process(self, event: ProtocolEvent) -> bool:
+        if event["method"] != "custom":
+            return True
+        data = event["params"]["data"]
+        if not isinstance(data, dict) or "event" not in data:
+            return True
+
+        tool_call_id = data.get("tool_call_id")
+        if tool_call_id is None:
+            return True
+
+        if data["event"] == "tool-started":
+            self._pending[tool_call_id] = data
+            return False
+
+        if data["event"] == "tool-finished":
+            started = self._pending.pop(tool_call_id, {})
+            self._log.append(_ToolExecution(
+                tool_call_id=tool_call_id,
+                tool_name=started.get("tool_name", ""),
+                input=started.get("input"),
+                output=data["output"],
+            ))
+            return False
+
+        return True
+
+    def finalize(self) -> None:
+        pass
+
+    def fail(self, err: BaseException) -> None:
+        pass
+
+
+def _make_tool_graph():
+    """Graph: agent emits a tool call, custom_tools executes it with writer events."""
+    from langgraph.types import StreamWriter
+
+    def agent(state):
+        return {
+            "value": "called",
+            "items": ["agent"],
+        }
+
+    def custom_tools(state, *, writer: StreamWriter):
+        writer({
+            "event": "tool-started",
+            "tool_call_id": "call_1",
+            "tool_name": "get_weather",
+            "input": {"city": "SF"},
+        })
+        writer({
+            "event": "tool-finished",
+            "tool_call_id": "call_1",
+            "output": {"temp_f": 64},
+        })
+        return {"value": "done", "items": ["tools"]}
+
+    graph = StateGraph(State)
+    graph.add_node("agent", agent)
+    graph.add_node("custom_tools", custom_tools)
+    graph.add_edge(START, "agent")
+    graph.add_edge("agent", "custom_tools")
+    graph.add_edge("custom_tools", END)
+    return graph.compile()
+
+
+def test_sync_tool_transformer_via_extensions():
+    """Tool events flow through extensions and are iterable without draining raw events."""
+    graph = _make_tool_graph()
+    run = StreamingHandler(graph).stream(
+        {"value": "", "items": []},
+        transformers=[_ToolsTransformer()],
+    )
+
+    # Iterating extensions drives the pump — no need to drain raw events first
+    executions = list(run.extensions["tools"])
+    assert len(executions) == 1
+    assert executions[0].tool_name == "get_weather"
+    assert executions[0].input == {"city": "SF"}
+    assert executions[0].output == {"temp_f": 64}
+
+
+@pytest.mark.anyio
+async def test_async_tool_transformer_via_extensions():
+    """Tool events flow through extensions in async mode."""
+    graph = _make_tool_graph()
+    run = await StreamingHandler(graph).astream(
+        {"value": "", "items": []},
+        transformers=[_ToolsTransformer()],
+    )
+    await asyncio.sleep(0.1)
+
+    # Drain main stream so transformer processes all events
+    async for _ in run:
+        pass
+
+    tools_log = run.extensions["tools"]
+    assert len(tools_log) == 1
+    assert tools_log[0].tool_name == "get_weather"
+    assert tools_log[0].output == {"temp_f": 64}
@@ -1,359 +0,0 @@
-"""Tests for arrival-ordered interleave and push stamps."""
-
-from __future__ import annotations
-
-import operator
-from typing import Annotated, Any
-
-import pytest
-from typing_extensions import TypedDict
-
-from langgraph.constants import END, START
-from langgraph.graph import StateGraph
-from langgraph.stream import StreamChannel, StreamTransformer
-from langgraph.stream._mux import StreamMux
-from langgraph.stream._types import ProtocolEvent
-from langgraph.stream.run_stream import GraphRunStream
-from langgraph.stream.transformers import ValuesTransformer
-
-# ---------------------------------------------------------------------------
-# Helpers
-# ---------------------------------------------------------------------------
-
-
-class _TwoChannelTransformer(StreamTransformer):
-    """Transformer that exposes two named channels for testing interleave."""
-
-    _native = True
-
-    def __init__(self, scope: tuple[str, ...] = ()) -> None:
-        super().__init__(scope)
-        self._alpha: StreamChannel[str] = StreamChannel("alpha")
-        self._beta: StreamChannel[str] = StreamChannel("beta")
-
-    def init(self) -> dict[str, Any]:
-        return {"alpha": self._alpha, "beta": self._beta}
-
-    def process(self, event: ProtocolEvent) -> bool:
-        return True
-
-
-class SimpleState(TypedDict):
-    value: str
-    items: Annotated[list[str], operator.add]
-
-
-def _build_simple_graph():
-    def node_a(state: SimpleState) -> dict:
-        return {"value": state["value"] + "A", "items": ["a"]}
-
-    def node_b(state: SimpleState) -> dict:
-        return {"value": state["value"] + "B", "items": ["b"]}
-
-    builder = StateGraph(SimpleState)
-    builder.add_node("node_a", node_a)
-    builder.add_node("node_b", node_b)
-    builder.add_edge(START, "node_a")
-    builder.add_edge("node_a", "node_b")
-    builder.add_edge("node_b", END)
-    return builder.compile()
-
-
-# ---------------------------------------------------------------------------
-# Unit tests: push stamps on StreamChannel
-# ---------------------------------------------------------------------------
-
-
-class TestPushStamps:
-    def test_stamps_are_monotonic_across_channels(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        beta = mux.extensions["beta"]
-
-        alpha._subscribed = True
-        beta._subscribed = True
-
-        alpha.push("a1")
-        beta.push("b1")
-        alpha.push("a2")
-        beta.push("b2")
-
-        all_stamped = list(alpha._items) + list(beta._items)
-        stamps = [s for s, _ in all_stamped]
-        assert len(set(stamps)) == 4
-        items_by_arrival = [item for _, item in sorted(all_stamped)]
-        assert items_by_arrival == ["a1", "b1", "a2", "b2"]
-
-    def test_regular_iter_strips_stamps(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        it = iter(alpha)
-        alpha.push("a1")
-        alpha.push("a2")
-        alpha.close()
-        items = list(it)
-        assert items == ["a1", "a2"]
-        assert all(isinstance(item, str) for item in items)
-
-    def test_events_channel_gets_real_stamps(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-
-        alpha._subscribed = True
-        alpha.push("a1")
-
-        mux._events._subscribed = True
-        mux._events.push({"method": "test", "data": "x"})
-
-        alpha.push("a2")
-
-        all_stamps = [s for s, _ in alpha._items] + [s for s, _ in mux._events._items]
-        assert len(set(all_stamps)) == len(all_stamps), "all stamps should be unique"
-        assert all(s > 0 for s in all_stamps), "no stamp should be zero"
-
-    def test_channel_without_mux_gets_zero_stamp(self) -> None:
-        ch: StreamChannel[str] = StreamChannel()
-        ch._bind(is_async=False)
-        ch._subscribed = True
-        ch.push("x")
-        assert list(ch._items) == [(0, "x")]
-
-
-# ---------------------------------------------------------------------------
-# Unit tests: interleave arrival order
-# ---------------------------------------------------------------------------
-
-
-class TestInterleaveArrivalOrder:
-    def test_arrival_order_not_round_robin(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        beta = mux.extensions["beta"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        # interleave() subscribes channels directly and reads _items
-        # for stamp-ordered iteration. We simulate the pump by wiring
-        # a custom callback that pushes items in a known order.
-        push_script = [
-            ("alpha", "a1"),
-            ("alpha", "a2"),
-            ("beta", "b1"),
-            ("alpha", "a3"),
-            ("beta", "b2"),
-        ]
-        push_iter = iter(push_script)
-        channels = {"alpha": alpha, "beta": beta}
-
-        def fake_pump() -> bool:
-            try:
-                name, item = next(push_iter)
-                channels[name].push(item)
-                return True
-            except StopIteration:
-                mux.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha", "beta"))
-        names = [name for name, _ in result]
-        items = [item for _, item in result]
-
-        assert items == ["a1", "a2", "b1", "a3", "b2"]
-        assert names == ["alpha", "alpha", "beta", "alpha", "beta"]
-
-    def test_single_projection(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        push_script = [("alpha", "a1"), ("alpha", "a2")]
-        push_iter = iter(push_script)
-
-        def fake_pump() -> bool:
-            try:
-                _, item = next(push_iter)
-                alpha.push(item)
-                return True
-            except StopIteration:
-                mux.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha"))
-        assert result == [("alpha", "a1"), ("alpha", "a2")]
-
-    def test_empty_projection(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        push_script = [("alpha", "a1"), ("alpha", "a2")]
-        push_iter = iter(push_script)
-        channels = {"alpha": alpha}
-
-        def fake_pump() -> bool:
-            try:
-                name, item = next(push_iter)
-                channels[name].push(item)
-                return True
-            except StopIteration:
-                mux.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha", "beta"))
-        assert result == [("alpha", "a1"), ("alpha", "a2")]
-
-    def test_unknown_projection_raises(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        run = GraphRunStream(None, mux, wire_pump=False)
-        mux.close()
-        with pytest.raises((KeyError, AttributeError)):
-            list(run.interleave("alpha", "does_not_exist"))
-
-    def test_all_empty(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        def fake_pump() -> bool:
-            mux.close()
-            return False
-
-        mux.bind_pump(fake_pump)
-
-        result = list(run.interleave("alpha", "beta"))
-        assert result == []
-
-    def test_error_propagation(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        beta = mux.extensions["beta"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        err = RuntimeError("boom")
-
-        push_script = [
-            ("alpha", "a1"),
-            ("beta", "b1"),
-        ]
-        push_iter = iter(push_script)
-        channels = {"alpha": alpha, "beta": beta}
-
-        def fake_pump() -> bool:
-            try:
-                name, item = next(push_iter)
-                channels[name].push(item)
-                return True
-            except StopIteration:
-                alpha.fail(err)
-                beta.close()
-                return False
-
-        mux.bind_pump(fake_pump)
-
-        collected = []
-        with pytest.raises(RuntimeError, match="boom"):
-            for pair in run.interleave("alpha", "beta"):
-                collected.append(pair)
-
-        assert ("alpha", "a1") in collected
-        assert ("beta", "b1") in collected
-
-
-# ---------------------------------------------------------------------------
-# Integration test: interleave with stream_events(version="v3")
-# ---------------------------------------------------------------------------
-
-
-class TestInterleaveIntegration:
-    def test_interleave_values_and_messages(self) -> None:
-        run = _build_simple_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        tagged = list(run.interleave("values", "messages"))
-        names = [name for name, _ in tagged]
-        assert set(names).issubset({"values", "messages"})
-        assert names.count("values") >= 1
-
-    def test_interleave_rejects_already_subscribed(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        run = GraphRunStream(None, mux, wire_pump=False)
-
-        # Subscribe alpha via iter first
-        _ = iter(alpha)
-        mux.close()
-
-        with pytest.raises(RuntimeError, match="already has a subscriber"):
-            list(run.interleave("alpha"))
-
-    def test_interleave_releases_projections_on_completion(self) -> None:
-        run = _build_simple_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        list(run.interleave("values", "messages"))
-        # Subscriptions should be released after the generator completes,
-        # so the channels can be re-iterated (they'll be empty / closed).
-        assert run.extensions["values"]._subscribed is False
-        assert run.extensions["messages"]._subscribed is False
-
-    def test_interleave_releases_projections_on_early_break(self) -> None:
-        run = _build_simple_graph().stream_events(
-            {"value": "x", "items": []}, version="v3"
-        )
-        gen = run.interleave("values", "messages")
-        next(gen)
-        gen.close()
-        assert run.extensions["values"]._subscribed is False
-        assert run.extensions["messages"]._subscribed is False
-
-    def test_interleave_releases_projections_on_validation_failure(self) -> None:
-        mux = StreamMux(
-            factories=[ValuesTransformer, _TwoChannelTransformer],
-            is_async=False,
-        )
-        alpha = mux.extensions["alpha"]
-        # Pre-subscribe alpha so that interleave will fail validation when
-        # it gets to the second name. The first (already-validated) channel
-        # should still be released.
-        run = GraphRunStream(None, mux, wire_pump=False)
-        mux.close()
-        alpha._subscribed = True
-
-        with pytest.raises(RuntimeError, match="already has a subscriber"):
-            list(run.interleave("values", "alpha"))
-
-        assert mux.extensions["values"]._subscribed is False
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Nick Hollon	975a87c85e	Remove StreamChannel close/fail no-ops and channel tracking from mux	2026-04-14 16:55:37 -04:00
Nick Hollon	a7351aa134	use Google-style Args: in convert docstring	2026-04-14 16:48:12 -04:00
Nick Hollon	7a4ce06a37	clean up streamV2 infrastructure Remove unused timestamp from ProtocolEvent params (seq provides ordering). Fix docstrings: remove async-specific language from sync base class, correct tautological namespace comment, distinguish sync/async projection sets in module docstring. Add double-iteration tests for values and raw events on both sync and async paths.	2026-04-14 16:46:19 -04:00
Nick Hollon	803a268b39	feat(langgraph): add streamV2 infrastructure with unified transformer extensions Adds the stream v2 protocol layer: StreamMux, EventLog, StreamTransformer protocol, built-in ValuesTransformer/MessagesTransformer, StreamChannel, ChatModelStream, GraphRunStream/AsyncGraphRunStream, and StreamingHandler. Transformers use a unified name/value interface so built-in and user transformers are exposed through the same extensions mechanism. Sync projections (.values, .messages, extensions) all use _PumpDrivenLog for consistent lazy pump-driven iteration. Includes StreamProtocolMessagesHandler for converting LangChain message chunks to protocol events (message-start, content-block-delta, etc.) and wires it into Pregel.stream()/astream() via a config flag.	2026-04-14 15:20:03 -04:00