Merge branch 'main' into nh/namespace-keyed-subagents

rename LifecyclePayload.cause to metadata
`metadata` reads more neutrally than `cause` — the field carries descriptive info about what the lifecycle event is for, not a strict causal relationship. Wire field, docstrings, and tests updated.
2026-08-30 19:59:40 +02:00 · 2026-05-08 14:01:05 -04:00 · 2026-05-08 13:57:58 -04:00 · 2026-05-08 11:43:04 -04:00 · 2026-05-08 11:38:27 -04:00 · 2026-05-08 10:57:29 -04:00
152 changed files with 1269 additions and 21720 deletions
@@ -1,85 +0,0 @@
-name: sdk-py integration test
-
-on:
-  workflow_call:
-    secrets:
-      LANGSMITH_API_KEY:
-        required: false
-      DOCKERHUB_USERNAME:
-        required: false
-      DOCKERHUB_RO_TOKEN:
-        required: false
-
-permissions:
-  contents: read
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    name: "sdk-py integration"
-    defaults:
-      run:
-        working-directory: libs/sdk-py
-    env:
-      HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
-    steps:
-      - uses: actions/checkout@v6
-
-      - name: Set up Python
-        uses: ./.github/actions/uv_setup
-        with:
-          python-version: "3.13"
-          cache-suffix: sdk-py-integration
-          working-directory: libs/sdk-py
-
-      - name: Login to Docker Hub
-        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
-        if: ${{ !github.event.pull_request.head.repo.fork }}
-        with:
-          username: ${{ secrets.DOCKERHUB_USERNAME }}
-          password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
-
-      - name: Install dependencies
-        shell: bash
-        run: uv sync --frozen --group test --no-dev
-
-      - name: Skip if LANGSMITH_API_KEY is not available
-        if: env.HAS_LANGSMITH_API_KEY != 'true'
-        run: |
-          echo "LANGSMITH_API_KEY is not set (likely a fork PR). Skipping integration tests."
-          exit 0
-
-      - name: Bring up integration stack
-        if: env.HAS_LANGSMITH_API_KEY == 'true'
-        working-directory: libs/sdk-py/integration
-        env:
-          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
-        run: docker compose up -d --build
-
-      - name: Wait for API healthcheck
-        if: env.HAS_LANGSMITH_API_KEY == 'true'
-        run: |
-          for i in $(seq 1 60); do
-            if curl -sf http://localhost:2024/ok >/dev/null; then
-              echo "API ready after ${i}s"
-              exit 0
-            fi
-            sleep 2
-          done
-          echo "API failed to become healthy within 120s"
-          docker compose -f libs/sdk-py/integration/docker-compose.yml logs api | tail -100
-          exit 1
-
-      - name: Run integration suite
-        if: env.HAS_LANGSMITH_API_KEY == 'true'
-        run: uv run pytest tests/integration/ -m integration
-
-      - name: Dump api logs on failure
-        if: failure() && env.HAS_LANGSMITH_API_KEY == 'true'
-        working-directory: libs/sdk-py/integration
-        run: docker compose logs api | tail -200
-
-      - name: Tear down stack
-        if: always() && env.HAS_LANGSMITH_API_KEY == 'true'
-        working-directory: libs/sdk-py/integration
-        run: docker compose down -v
@@ -58,18 +58,14 @@ jobs:
          } >> "$GITHUB_OUTPUT"
      - name: Annotation
        uses: actions/github-script@v9
-        env:
-          CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
-          BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
-          COMPARE_OUTPUT: ${{ steps.compare.outputs.OUTPUT }}
        with:
          script: |
-            const file = JSON.parse(process.env.CHANGED_FILES || "[]")[0]
-            core.notice(process.env.BENCHMARK_OUTPUT || "", {
+            const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
+            core.notice(`${{ steps.benchmark.outputs.OUTPUT }}`, {
              title: 'Benchmark results',
              file,
            })
-            core.notice(process.env.COMPARE_OUTPUT || "", {
+            core.notice(`${{ steps.compare.outputs.OUTPUT }}`, {
              title: 'Comparison against main',
              file,
            })
@@ -28,7 +28,6 @@ jobs:
    outputs:
      python: ${{ steps.filter.outputs.python || 'true' }}
      deps: ${{ steps.filter.outputs.deps || 'true' }}
-      sdk_py: ${{ steps.filter.outputs.sdk_py || 'true' }}
    steps:
      - uses: actions/checkout@v6
      - uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
@@ -48,8 +47,6 @@ jobs:
            deps:
              - '**/pyproject.toml'
              - '**/uv.lock'
-            sdk_py:
-              - 'libs/sdk-py/**'

  lint:
    needs: changes
@@ -159,13 +156,6 @@ jobs:
    uses: ./.github/workflows/_integration_test.yml
    secrets: inherit

-  sdk-py-integration-test:
-    needs: changes
-    if: needs.changes.outputs.sdk_py == 'true'
-    name: "sdk-py integration test"
-    uses: ./.github/workflows/_sdk_integration_test.yml
-    secrets: inherit
-
  ci_success:
    name: "CI Success"
    needs:
@@ -176,7 +166,6 @@ jobs:
        check-sdk-methods,
        check-schema,
        integration-test,
-        sdk-py-integration-test,
      ]
    if: |
      always()
@@ -32,7 +32,6 @@ jobs:
        with:
          python-version: ${{ env.PYTHON_VERSION }}
          cache-suffix: "release"
-          enable-cache: false
          working-directory: ${{ inputs.working-directory }}

      # We want to keep this build stage *separate* from the release stage,
@@ -269,7 +268,6 @@ jobs:
        with:
          python-version: ${{ env.PYTHON_VERSION }}
          cache-suffix: "release"
-          enable-cache: false
          working-directory: ${{ inputs.working-directory }}

      - uses: actions/download-artifact@v8
@@ -311,7 +309,6 @@ jobs:
        with:
          python-version: ${{ env.PYTHON_VERSION }}
          cache-suffix: "release"
-          enable-cache: false
          working-directory: ${{ inputs.working-directory }}

      - uses: actions/download-artifact@v8
@@ -208,11 +208,11 @@ wheels = [

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+version = "3.13"
 source = { registry = "https://pypi.org/simple" }
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+    { url = "https://files.pythonhosted.org/packages/5d/13/ad7d7ca3808a898b4612b6fe93cde56b53f3034dcde235acb1f0e1df24c6/idna-3.13-py3-none-any.whl", hash = "sha256:892ea0cde124a99ce773decba204c5552b69c3c67ffd5f232eb7696135bc8bb3", size = 68629, upload-time = "2026-04-22T16:42:40.909Z" },
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 [[package]]
@@ -279,7 +279,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.1.0a4"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.0"
+version = "3.1.0a4"
 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>=4.1.0,<5.0.0",
+  "langgraph-checkpoint>=4.1.0a4,<5.0.0",
  "orjson>=3.11.5",
  "psycopg>=3.2.0",
  "psycopg-pool>=3.2.0",
@@ -205,11 +205,11 @@ wheels = [

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+version = "3.11"
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+sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
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+    { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" },
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 [[package]]
@@ -244,7 +244,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.3.3"
+version = "1.3.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -257,9 +257,9 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
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+    { url = "https://files.pythonhosted.org/packages/7d/d5/8fa4431007cbb7cfed7590f4d6a5dea3ad724f4174d248f6642ef5ce7d05/langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274", size = 542390, upload-time = "2026-04-24T15:49:21.991Z" },
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 [[package]]
@@ -276,7 +276,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.1.0a4"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -324,7 +324,7 @@ test = [

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

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -412,9 +412,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
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@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint-sqlite"
-version = "3.1.0"
+version = "3.1.0a1"
 description = "Library with a SQLite 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>=4.1.0,<5.0.0",
+    "langgraph-checkpoint>=4.1.0a4,<5.0.0",
    "aiosqlite>=0.20",
    "sqlite-vec>=0.1.6",
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+version = "1.2.28"
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-    { name = "langchain-protocol" },
    { name = "langsmith" },
    { name = "packaging" },
    { name = "pydantic" },
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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 = "4.1.1"
+version = "4.1.0a4"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -333,7 +320,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "3.1.0"
+version = "3.1.0a1"
 source = { editable = "." }
 dependencies = [
    { name = "aiosqlite" },
@@ -402,7 +389,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -415,9 +402,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
+    { 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" },
 ]

 [[package]]
@@ -1161,11 +1148,11 @@ wheels = [

 [[package]]
 name = "urllib3"
-version = "2.7.0"
+version = "2.6.3"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
+    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
 ]

 [[package]]
@@ -60,29 +60,20 @@ class CheckpointMetadata(TypedDict, total=False):
    """
    run_id: str
    """The ID of the run that created this checkpoint."""
-    counters_since_delta_snapshot: dict[str, tuple[int, int]]
-    """Per-channel counters since the last `_DeltaSnapshot` was written.
+    delta_updates_since_snapshot: dict[str, int]
+    """Per-channel update count since the last `_DeltaSnapshot` was written.

    !!! warning "Beta"

        This metadata field backs `DeltaChannel` (beta). The key name and
        contents may change while the delta-channel design stabilizes.

-    Maps channel name -> `(updates, supersteps)`:
-
-    - index 0 (`updates`): number of supersteps that wrote to this channel
-      since its last snapshot blob.
-    - index 1 (`supersteps`): total supersteps elapsed since this channel's
-      last snapshot, regardless of whether the channel was written.
-
-    A snapshot fires when EITHER `updates >= ch.snapshot_frequency` OR
-    `supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` (system-wide bound,
-    default 5000, env `LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`).
-    The supersteps bound prevents unbounded ancestor walks on threads where
-    a delta channel exists but is no longer being updated.
-
-    Absent on threads that don't use delta channels. Persisted as a
-    2-element list in JSON (no native tuple).
+    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.
    """


@@ -44,7 +44,7 @@ if TYPE_CHECKING:
        AllowedMsgpackModules,
    )

-LC_REVIVER = Reviver(allowed_objects="core")
+LC_REVIVER = Reviver()
 EMPTY_BYTES = b""
 logger = logging.getLogger(__name__)

@@ -157,6 +157,27 @@ class JsonPlusSerializer(SerializerProtocol):
            )
        return clone

+    def _encode_constructor_args(
+        self,
+        constructor: Callable | type[Any],
+        *,
+        method: None | str | Sequence[None | str] = None,
+        args: Sequence[Any] | None = None,
+        kwargs: dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        out = {
+            "lc": 2,
+            "type": "constructor",
+            "id": (*constructor.__module__.split("."), constructor.__name__),
+        }
+        if method is not None:
+            out["method"] = method
+        if args is not None:
+            out["args"] = args
+        if kwargs is not None:
+            out["kwargs"] = kwargs
+        return out
+
    def _reviver(self, value: dict[str, Any]) -> Any:
        if (
            value.get("lc", None) == 2
@@ -182,46 +203,45 @@ class JsonPlusSerializer(SerializerProtocol):
        self._check_allowed_json_modules(value)

        [*module, name] = value["id"]
-        # The `method` field on lc:2 envelopes is intentionally ignored.
-        # Revival is restricted to the default constructor (no `getattr`
-        # dispatch on attacker-influenced names). The framework's own
-        # encoder has not emitted `method=` since the msgpack migration,
-        # and the only legacy emission was `method=(None, "construct")`
-        # for pydantic models, where the first entry (`None`) already
-        # meant "default constructor", which is what we do here.
        try:
            mod = importlib.import_module(".".join(module))
            cls = getattr(mod, name)
-            if isclass(cls) and issubclass(cls, BaseException):
-                return None
+            method = value.get("method")
+            if isinstance(method, str):
+                methods = [getattr(cls, method)]
+            elif isinstance(method, list):
+                methods = [cls if m is None else getattr(cls, m) for m in method]
+            else:
+                methods = [cls]
            args = value.get("args")
            kwargs = value.get("kwargs")
-            if args and kwargs:
-                return cls(*args, **kwargs)
-            elif args:
-                return cls(*args)
-            elif kwargs:
-                return cls(**kwargs)
-            else:
-                return cls()
-        except Exception as exc:
-            # Method-field dispatch has been removed (GHSA-fjqc-hq36-qh5p), so
-            # legacy pydantic payloads emitting `method=[None, "construct"]`
-            # no longer fall back to `cls.construct(**kwargs)` when the
-            # default constructor rejects the serialized kwargs. Surface a
-            # one-line warning so operators can spot payloads that now revive
-            # to `None` instead of silently degrading to the raw envelope.
-            logger.warning(
-                "Failed to revive lc:2 envelope %s "
-                "(legacy_method_field=%s, error=%s); returning None",
-                ".".join((*module, name)),
-                "method" in value,
-                type(exc).__name__,
-            )
+            for method in methods:
+                try:
+                    if isclass(method) and issubclass(method, BaseException):
+                        return None
+                    if args and kwargs:
+                        return method(*args, **kwargs)
+                    elif args:
+                        return method(*args)
+                    elif kwargs:
+                        return method(**kwargs)
+                    else:
+                        return method()
+                except Exception:
+                    continue
+        except Exception:
            return None

    def _check_allowed_json_modules(self, value: dict[str, Any]) -> None:
        needed = tuple(value["id"])
+        method = value.get("method")
+        if isinstance(method, list):
+            method_display = ",".join(m or "<init>" for m in method)
+        elif isinstance(method, str):
+            method_display = method
+        else:
+            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
@@ -232,7 +252,7 @@ class JsonPlusSerializer(SerializerProtocol):

        if not self._allowed_json_modules:
            raise InvalidModuleError(
-                f"Refused to deserialize JSON constructor: {dotted}. "
+                f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
                "No allowed_json_modules configured.\n\n"
                "Unblock with ONE of:\n"
                f"  • JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"
@@ -247,7 +267,7 @@ class JsonPlusSerializer(SerializerProtocol):
            return

        raise InvalidModuleError(
-            f"Refused to deserialize JSON constructor: {dotted}. "
+            f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
            "Symbol is not in the deserialization allowlist.\n\n"
            "Add exactly this symbol to unblock:\n"
            f"  JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.1.0a4"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"
@@ -398,193 +398,6 @@ def test_deserde_invalid_module() -> None:
    serde.loads_typed(("json", json.dumps(load).encode("utf-8")))


-def test_lc2_json_method_field_is_ignored() -> None:
-    """The `method` field on lc=2 envelopes is ignored.
-
-    Regression test for GHSA-fjqc-hq36-qh5p: `_revive_lc2` previously resolved
-    `getattr(cls, method)` from the envelope, which let an attacker pivot a
-    safe pydantic class (e.g., AIMessage) to `parse_raw(..., allow_pickle=True)`
-    and reach `pickle.loads`. Revival now uses only the default constructor.
-
-    Verifies that an envelope carrying ``method="parse_raw"`` does not dispatch
-    to that method: the result is whatever ``AIMessage(*args, **kwargs)`` would
-    produce, which proves the default constructor ran instead of ``parse_raw``.
-    """
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": "parse_raw",
-        "args": ["default-ctor-ran"],
-        "kwargs": {"content_type": "application/pickle", "allow_pickle": True},
-    }
-    result = serde._revive_lc2(load)
-    # Default constructor accepts `content` as first positional arg. If parse_raw
-    # had been invoked instead, it would have attempted JSON/pickle parsing and
-    # raised (or executed the pickle gadget); neither would produce this result.
-    assert isinstance(result, AIMessage)
-    assert result.content == "default-ctor-ran"
-
-
-def test_lc2_json_method_field_is_ignored_for_allowlisted_types() -> None:
-    """The `method` field is ignored even when the class is explicitly allowlisted.
-
-    A user who configures ``allowed_json_modules`` for a class no longer gets
-    method dispatch as a side effect. Revival is restricted to the default
-    constructor regardless of how the class reached the revival path.
-    """
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer(
-        allowed_json_modules=[("langchain_core.messages.ai", "AIMessage")]
-    )
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": "parse_raw",
-        "args": ["default-ctor-ran"],
-    }
-    result = serde._revive_lc2(load)
-    assert isinstance(result, AIMessage)
-    assert result.content == "default-ctor-ran"
-
-
-def test_lc2_json_safe_type_init_still_works() -> None:
-    """SAFE-type lc=2 revival without a `method` field still constructs the class."""
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "kwargs": {"content": "hi", "type": "ai"},
-    }
-    result = serde._revive_lc2(load)
-    assert isinstance(result, AIMessage)
-    assert result.content == "hi"
-
-
-def test_lc2_json_legacy_pydantic_method_list_falls_back_to_default() -> None:
-    """Legacy ``method=(None, "construct")`` envelopes still revive via the default ctor.
-
-    Pre-October-2025 langgraph emitted pydantic models with
-    ``method=(None, "construct")`` meaning "try default constructor, fall back
-    to pydantic ``construct``". The first entry (``None``) was always the
-    default constructor, which is what we now do unconditionally. Envelopes of
-    this shape continue to revive correctly as long as the default constructor
-    accepts the serialized kwargs.
-    """
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": [None, "construct"],
-        "kwargs": {"content": "legacy", "type": "ai"},
-    }
-    result = serde._revive_lc2(load)
-    assert isinstance(result, AIMessage)
-    assert result.content == "legacy"
-
-
-def test_lc2_json_legacy_construct_payload_logs_warning_when_default_init_rejects(
-    caplog: pytest.LogCaptureFixture,
-) -> None:
-    """Legacy `method=[None, "construct"]` envelopes whose kwargs the default
-    `__init__` rejects now revive to `None` and emit an observable warning.
-
-    Pre-October-2025 langgraph emitted pydantic payloads with
-    `method=[None, "construct"]` so the reviver could fall back to
-    `cls.construct(**kwargs)` when the default constructor raised a
-    validation error. That fallback was removed with method-field dispatch
-    (GHSA-fjqc-hq36-qh5p), so these payloads now silently fail validation. A
-    `logger.warning` makes the regression observable to operators instead of
-    letting the envelope quietly degrade to its raw-dict form.
-    """
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        # Legacy two-entry method tuple: try default ctor, fall back to construct.
-        "method": [None, "construct"],
-        # ``type="not-a-real-message-type"`` fails AIMessage's Literal["ai"]
-        # validator under the default constructor. Before the GHSA patch this
-        # would have fallen back to ``cls.construct(**kwargs)``; now it must
-        # return None and log.
-        "kwargs": {"content": "legacy", "type": "not-a-real-message-type"},
-    }
-
-    with caplog.at_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus"):
-        result = serde._revive_lc2(load)
-
-    assert result is None, (
-        "Legacy method=[None, 'construct'] payloads with kwargs the default "
-        "ctor rejects must now return None (no construct() fallback)."
-    )
-
-    matching = [
-        r
-        for r in caplog.records
-        if r.name == "langgraph.checkpoint.serde.jsonplus"
-        and r.levelno == logging.WARNING
-        and "langchain_core.messages.ai.AIMessage" in r.getMessage()
-        and "legacy_method_field=True" in r.getMessage()
-    ]
-    assert matching, (
-        "Expected a WARNING from langgraph.checkpoint.serde.jsonplus "
-        "referencing the class id and legacy_method_field=True; "
-        f"got records: {[(r.name, r.levelname, r.getMessage()) for r in caplog.records]}"
-    )
-
-
-def test_lc2_json_safe_type_pickle_payload_does_not_execute() -> None:
-    """End-to-end: a `parse_raw` pickle gadget payload on a SAFE type must not run.
-
-    With method dispatch removed from `_revive_lc2`, the gadget bytes are never
-    passed to `parse_raw` and therefore never reach `pickle.loads`.
-    """
-    import os
-    import pickle
-    import tempfile
-
-    marker = tempfile.NamedTemporaryFile(
-        prefix="lc2_block_proof_", suffix=".out", delete=False
-    ).name
-    os.remove(marker)  # ensure absent before the test runs
-
-    class _Gadget:
-        def __reduce__(self) -> tuple:
-            return (os.system, (f"touch {marker}",))
-
-    gadget_bytes = pickle.dumps(_Gadget(), protocol=0).decode("latin1")
-    envelope = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": "parse_raw",
-        "args": [gadget_bytes],
-        "kwargs": {"content_type": "application/pickle", "allow_pickle": True},
-    }
-
-    serde = JsonPlusSerializer()
-    try:
-        serde.loads_typed(("json", json.dumps(envelope).encode()))
-    except Exception:
-        pass
-
-    assert not os.path.exists(marker), (
-        "Pickle gadget executed via parse_raw on AIMessage lc=2 envelope"
-    )
-
-
 def test_serde_jsonplus_bytearray() -> None:
    serde = JsonPlusSerializer()

@@ -229,11 +229,11 @@ wheels = [

 [[package]]
 name = "idna"
-version = "3.15"
+version = "3.11"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/82/77/7b3966d0b9d1d31a36ddf1746926a11dface89a83409bf1483f0237aa758/idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc", size = 199245, upload-time = "2026-05-12T22:45:57.011Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/d2/23/408243171aa9aaba178d3e2559159c24c1171a641aa83b67bdd3394ead8e/idna-3.15-py3-none-any.whl", hash = "sha256:048adeaf8c2d788c40fee287673ccaa74c24ffd8dcf09ffa555a2fbb59f10ac8", size = 72340, upload-time = "2026-05-12T22:45:55.733Z" },
+    { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" },
 ]

 [[package]]
@@ -268,7 +268,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.3.3"
+version = "1.3.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
@@ -281,9 +281,9 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1f/01/4771b7ab2af1d1aba5b710bd8f13d9225c609425214b357590a17b01be77/langchain_core-1.3.3-py3-none-any.whl", hash = "sha256:18aae8506f37da7f74398492279a7d6efcee4f8e23c4c41c7af080eeb7ef7bd1", size = 543857, upload-time = "2026-05-05T19:02:34.52Z" },
+    { url = "https://files.pythonhosted.org/packages/7d/d5/8fa4431007cbb7cfed7590f4d6a5dea3ad724f4174d248f6642ef5ce7d05/langchain_core-1.3.2-py3-none-any.whl", hash = "sha256:d44a66127f9f8db735bdfd0ab9661bccb47a97113cfd3f2d89c74864422b7274", size = 542390, upload-time = "2026-04-24T15:49:21.991Z" },
 ]

 [[package]]
@@ -300,7 +300,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.1.0a4"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -383,7 +383,7 @@ test = [

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -396,9 +396,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
+    { 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" },
 ]

 [[package]]
@@ -1463,11 +1463,11 @@ wheels = [

 [[package]]
 name = "urllib3"
-version = "2.7.0"
+version = "2.6.3"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
+    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
 ]

 [[package]]
@@ -3675,11 +3675,12 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

 "langsmith@>=0.5.0 <1.0.0":
-  version "0.6.3"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.6.3.tgz#a3d8ad58d66a47d3697e3c69b2be3f6df5233190"
-  integrity sha512-pXrQ4/4myQvjFFOAUmt5pWRrLEZR20gzIJD7MNdUH+5/S5nLI4ZRBo/SYKC6coaYj9pYTfQdBIzcs+3kfJ5uDA==
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
+  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
  dependencies:
    p-queue "6.6.2"
+    uuid "10.0.0"

 leven@^3.1.0:
  version "3.1.0"
@@ -4847,7 +4848,7 @@ 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==
@@ -17,7 +17,7 @@
    "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
  },
  "devDependencies": {
-    "turbo": "^2.9.14",
+    "turbo": "^2.9.7",
    "typescript": "^5.9.3",
    "@tsconfig/recommended": "^1.0.13",
    "@eslint/eslintrc": "^3.3.5",
@@ -166,35 +166,35 @@
  resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
  integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==

-"@turbo/darwin-64@2.9.14":
-  version "2.9.14"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.14.tgz#b9ec6ac637b9c5fdba5dae9d743f5d121f091242"
-  integrity sha512-t7QiPflaEyBE4oayeZtSmu4mEfjgIrcNlNNl1z1dmIVPqEdtA7+CfTf8d7KXsOGPh6aNgWjKxyvQg9uGfDQF+A==
+"@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-arm64@2.9.14":
-  version "2.9.14"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.14.tgz#99d19f3e59842c595d2828c72a2e4ef537408f38"
-  integrity sha512-d23147mC9BsCPA9mJ0h/ubcpbRgcJBXbcG3+Vq7YLhjz3IXuvQsJ1UXH8f4MD76ZjJ4m/E4aRdJV+MW88CDfbw==
+"@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/linux-64@2.9.14":
-  version "2.9.14"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.14.tgz#9c907434f091cd75529f5496516f79b71935d2bb"
-  integrity sha512-P3ZKB5tuUDdDQWuAsACGUR1qv9W7BNWxdxqVJ0kZNuNNPRaVYTPPikLcp79+GiEcW3npsR+KyP38lnQiBc5aSA==
+"@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-arm64@2.9.14":
-  version "2.9.14"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.14.tgz#79ae9060e6ee9e0fb784ae0747e980f582e75313"
-  integrity sha512-ZRTlzcUMrrPv9ZuDzRF9n60Ym13bKeG9jDB8WjxyLhWNzV+AJQN+zdpIk3NJYf2zQsGUm1mNar2P0elRzLw25g==
+"@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/windows-64@2.9.14":
-  version "2.9.14"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.14.tgz#68a80f299f35189314184c88301caad982d1c0c2"
-  integrity sha512-exanwN6sIduZwykYeiTQj8kCmOhazP5WOz3bvXMcYtjhL6Z3iRWLewKrXCBq0bqwSP3iBMb/AerRCnHI4lx46A==
+"@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-arm64@2.9.14":
-  version "2.9.14"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.14.tgz#4dc16684f0ddce53fafe56ad8f55205c4473d17a"
-  integrity sha512-fVdCsnmYoKICsycbWuuGp6Jvi51/3G/UluFWuAUCvR8PIW5IJkAk5BM9UF8PSm0Q2IphWHFZjYEgjHsh3B9y/g==
+"@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==

 "@types/esrecurse@^4.3.1":
  version "4.3.1"
@@ -1327,11 +1327,12 @@ keyv@^4.5.4:
    json-buffer "3.0.1"

 "langsmith@>=0.5.0 <1.0.0":
-  version "0.7.1"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.7.1.tgz#d721ad2e5211f9a5373e8a84eb4fed36b5621971"
-  integrity sha512-Wjk90UjNoY5cBHMlNAC/eZx5clI8jnjBOBW8uJu8+MWBtx0QesNjsUiLtjI+I3UnrpxFFpDqGXcnhBjH654Mqg==
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
+  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
  dependencies:
    p-queue "6.6.2"
+    uuid "10.0.0"

 levn@^0.4.1:
  version "0.4.1"
@@ -1813,17 +1814,17 @@ tsconfig-paths@^3.15.0:
    minimist "^1.2.6"
    strip-bom "^3.0.0"

-turbo@^2.9.14:
-  version "2.9.14"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.14.tgz#d412fcc4c9bd8dba29cec5bbd54d5a74ab2b1bee"
-  integrity sha512-BQqXRr4UoWI3UPFrtznCLykYHxwxWh53iCB57x092jPMjIlW1wnm3N895g5irpiXmnxUhREBB0n6+y8BHhs4nw==
+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==
  optionalDependencies:
-    "@turbo/darwin-64" "2.9.14"
-    "@turbo/darwin-arm64" "2.9.14"
-    "@turbo/linux-64" "2.9.14"
-    "@turbo/linux-arm64" "2.9.14"
-    "@turbo/windows-64" "2.9.14"
-    "@turbo/windows-arm64" "2.9.14"
+    "@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"

 type-check@^0.4.0, type-check@~0.4.0:
  version "0.4.0"
@@ -1899,7 +1900,7 @@ 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==
@@ -1 +1 @@
-__version__ = "0.4.26"
+__version__ = "0.4.25"
@@ -35,12 +35,6 @@ DISALLOWED_BUILD_COMMAND_CHARS = [
 # This blocks background execution (cmd &) while allowing command
 # chaining (cmd1 && cmd2) which is common in build commands.
 _SINGLE_AMPERSAND_RE = re.compile(r"(?<!&)&(?:&&)*(?!&)")
-_API_VERSION_PATTERN = re.compile(
-    r"^(?P<major>\d+)"
-    r"(?:\.(?P<minor>\d+))?"
-    r"(?:\.(?P<patch>\d+))?"
-    r"(?:(?:\.|)(?:[A-Za-z][0-9A-Za-z]*))?$"
-)


 def has_disallowed_build_command_content(command: str) -> bool:
@@ -66,34 +60,14 @@ def _get_pip_cleanup_lines(
    to_uninstall: tuple[str] | None,
    pip_installer: Literal["uv", "pip"],
 ) -> str:
-    commands = ["# -- Validate installed dependencies are internally consistent --"]
-    if pip_installer == "uv":
-        commands.append(
-            """RUN uv pip check --system || ( \
-echo "Dependency resolution check failed. One or more installed packages are incompatible."; \
-echo "Pin compatible versions in your dependencies and try again."; \
-exit 1 \
-)"""
-        )
-    elif pip_installer == "pip":
-        commands.append(
-            """RUN python -m pip check || ( \
-echo "Dependency resolution check failed. One or more installed packages are incompatible."; \
-echo "Pin compatible versions in your dependencies and try again."; \
-exit 1 \
-)"""
-        )
-    commands.append(
-        """# -- End dependency validation --
-# -- Ensure user deps didn't inadvertently overwrite langgraph-api
+    commands = [
+        f"""# -- Ensure user deps didn't inadvertently overwrite langgraph-api
 RUN mkdir -p /api/langgraph_api /api/langgraph_runtime /api/langgraph_license && \
 touch /api/langgraph_api/__init__.py /api/langgraph_runtime/__init__.py /api/langgraph_license/__init__.py
-RUN PYTHONDONTWRITEBYTECODE=1 """
-        + install_cmd
-        + """ --no-cache-dir --no-deps -e /api
+RUN PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir --no-deps -e /api
 # -- End of ensuring user deps didn't inadvertently overwrite langgraph-api --
 # -- Removing build deps from the final image ~<:===~~~ --"""
-    )
+    ]
    if to_uninstall:
        for pack in to_uninstall:
            if pack not in _BUILD_TOOLS:
@@ -149,18 +123,6 @@ def _parse_node_version(version_str: str) -> int:
        ) from None


-def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
-    """Parse an API version into numeric components.
-
-    Supports optional prerelease suffixes, e.g. `0.9.0rc1`.
-    """
-    version_core = version_str.split("-", 1)[0]
-    match = _API_VERSION_PATTERN.fullmatch(version_core)
-    if not match:
-        raise ValueError("Version must be major or major.minor or major.minor.patch.")
-    return tuple(int(part) for part in match.groups() if part is not None)
-
-
 def _is_node_graph(spec: str | dict) -> bool:
    """Check if a graph is a Node.js graph based on the file extension."""
    if isinstance(spec, dict):
@@ -214,12 +176,12 @@ def validate_config(config: Config) -> Config:
            )
    if api_version:
        try:
-            parts = _parse_api_version_parts(api_version)
+            parts = tuple(map(int, api_version.split("-")[0].split(".")))
            if len(parts) > 3:
                raise ValueError(
                    "Version must be major or major.minor or major.minor.patch."
                )
-        except (TypeError, ValueError):
+        except TypeError:
            raise click.UsageError(
                f"Invalid version format: {api_version}.\n\n"
                "Pin to a minor version, e.g.:\n"
@@ -849,41 +849,6 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
 # ---------------------------------------------------------------------------


-def _resolve_pushed_image_digest(
-    runner,
-    *,
-    remote_image: str,
-    docker_config_dir: str | None,
-    verbose: bool,
-) -> str:
-    """Return ``{registry}/{repo}@sha256:<hex>`` for a freshly-pushed image.
-
-    Reads ``RepoDigests`` via ``docker image inspect`` — the local daemon
-    records the registry's manifest digest there after a successful push.
-    Falls back to ``remote_image`` with a warning if no matching digest is
-    found, rather than failing the deploy.
-    """
-    # rsplit preserves ``:port`` in the registry host.
-    repo_no_tag = remote_image.rsplit(":", 1)[0]
-    args: list[str] = ["docker"]
-    if docker_config_dir:
-        args += ["--config", docker_config_dir]
-    args += ["image", "inspect", "--format", "{{json .RepoDigests}}", remote_image]
-    stdout, _ = runner.run(subp_exec(*args, collect=True, verbose=verbose))
-    try:
-        digests = json_mod.loads(stdout or "[]") or []
-    except json_mod.JSONDecodeError:
-        digests = []
-    for d in digests:
-        if isinstance(d, str) and d.startswith(f"{repo_no_tag}@sha256:"):
-            return d
-    _get_emitter().warn(
-        f"Could not resolve image digest for {remote_image}; "
-        "falling back to the tag-based reference. Re-run with --verbose for details."
-    )
-    return remote_image
-
-
 def _run_local_build(
    *,
    client: HostBackendClient,
@@ -1050,18 +1015,9 @@ def _run_local_build(
                        raise
        step += 1

-        resolved_image = _resolve_pushed_image_digest(
-            runner,
-            remote_image=remote_image,
-            docker_config_dir=None,
-            verbose=verbose,
-        )
-
        # -- Step: Update deployment --
        _log_deploy_step(step, f"Updating deployment {deployment_id}")
-        updated = client.update_deployment(
-            deployment_id, resolved_image, secrets=secrets
-        )
+        updated = client.update_deployment(deployment_id, remote_image, secrets=secrets)

    return BuildResult(
        updated=updated if isinstance(updated, dict) else {},
@@ -23,7 +23,7 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.10.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]

@@ -1330,8 +1330,6 @@ def test_config_to_docker_pip_installer():
        PATH_TO_CONFIG, config_auto, base_image="langchain/langgraph-api:0.2.47"
    )
    assert "uv pip install --system " in docker_auto
-    assert "RUN uv pip check --system" in docker_auto
-    assert "python -m pip check" not in docker_auto
    assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto

    # Test explicit pip setting
@@ -1340,8 +1338,6 @@ def test_config_to_docker_pip_installer():
        PATH_TO_CONFIG, config_pip, base_image="langchain/langgraph-api:0.2.47"
    )
    assert "uv pip install --system " not in docker_pip
-    assert "RUN uv pip check --system" not in docker_pip
-    assert "RUN python -m pip check" in docker_pip
    assert "pip install" in docker_pip
    assert "rm /usr/bin/uv" not in docker_pip

@@ -1351,8 +1347,6 @@ def test_config_to_docker_pip_installer():
        PATH_TO_CONFIG, config_uv, base_image="langchain/langgraph-api:0.2.47"
    )
    assert "uv pip install --system " in docker_uv
-    assert "RUN uv pip check --system" in docker_uv
-    assert "python -m pip check" not in docker_uv
    assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv

    # Test auto behavior with older image (should use pip)
@@ -1363,8 +1357,6 @@ def test_config_to_docker_pip_installer():
        PATH_TO_CONFIG, config_auto_old, base_image="langchain/langgraph-api:0.2.46"
    )
    assert "uv pip install --system " not in docker_auto_old
-    assert "RUN uv pip check --system" not in docker_auto_old
-    assert "RUN python -m pip check" in docker_auto_old
    assert "pip install" in docker_auto_old
    assert "rm /usr/bin/uv" not in docker_auto_old

@@ -1374,32 +1366,6 @@ def test_config_to_docker_pip_installer():
        PATH_TO_CONFIG, config_default, base_image="langchain/langgraph-api:0.2.47"
    )
    assert "uv pip install --system " in docker_default
-    assert "RUN uv pip check --system" in docker_default
-    assert "python -m pip check" not in docker_default
-
-
-def test_get_pip_cleanup_lines_selects_check_command_by_installer():
-    cleanup_uv = _get_pip_cleanup_lines(
-        install_cmd="uv pip install --system",
-        to_uninstall=None,
-        pip_installer="uv",
-    )
-    assert "RUN uv pip check --system" in cleanup_uv
-    assert "python -m pip check" not in cleanup_uv
-    assert cleanup_uv.index("RUN uv pip check --system") < cleanup_uv.index(
-        "RUN mkdir -p /api/langgraph_api"
-    )
-
-    cleanup_pip = _get_pip_cleanup_lines(
-        install_cmd="pip install",
-        to_uninstall=None,
-        pip_installer="pip",
-    )
-    assert "RUN python -m pip check" in cleanup_pip
-    assert "uv pip check --system" not in cleanup_pip
-    assert cleanup_pip.index("RUN python -m pip check") < cleanup_pip.index(
-        "RUN mkdir -p /api/langgraph_api"
-    )


 def test_config_to_docker_uv_lock():
@@ -2524,7 +2490,7 @@ def test_config_to_compose_simple_config():
 def test_config_to_compose_env_vars():
    graphs = {"agent": "./agent.py:graph"}
    expected_compose_stdin = f"""                        OPENAI_API_KEY: "key"
-
+        
        pull_policy: build
        build:
            context: .
@@ -2607,7 +2573,7 @@ def test_config_to_compose_env_file():
 def test_config_to_compose_watch():
    graphs = {"agent": "./agent.py:graph"}
    expected_compose_stdin = f"""\
-
+        
        pull_policy: build
        build:
            context: .
@@ -2633,7 +2599,7 @@ def test_config_to_compose_watch():
                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
                WORKDIR /deps/outer-unit_tests/unit_tests
-
+        
        develop:
            watch:
                - path: test_config.json
@@ -2680,7 +2646,7 @@ def test_config_to_compose_end_to_end():
                ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
                WORKDIR /deps/outer-unit_tests/unit_tests
-
+        
        develop:
            watch:
                - path: test_config.json
@@ -2978,23 +2944,6 @@ def test_docker_tag_with_api_version(in_config: bool):
    assert tag == f"langchain/langgraph-server:{version}-py3.11"


-@pytest.mark.parametrize("in_config", [False, True])
-@pytest.mark.parametrize("version", ["0.9.0rc1", "0.9.0.dev1"])
-def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
-    """Test docker_tag with prerelease and dev api_version values."""
-    config = validate_config(
-        {
-            "python_version": "3.11",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "api_version": version if in_config else None,
-        }
-    )
-
-    tag = docker_tag(config, api_version=version if not in_config else None)
-    assert tag == f"langchain/langgraph-api:{version}-py3.11"
-
-
 def test_config_to_docker_with_api_version():
    """Test config_to_docker function with api_version parameter."""

@@ -3,7 +3,6 @@ import io
 import json
 import os
 import sys
-from unittest.mock import MagicMock

 import click
 import httpx
@@ -17,7 +16,6 @@ from langgraph_cli.deploy import (
    _env_without_deployment_name,
    _parse_env_from_config,
    _resolve_env_path,
-    _resolve_pushed_image_digest,
    _smith_dashboard_base_url,
    normalize_image_tag,
    normalize_name,
@@ -534,156 +532,3 @@ class TestSmithDashboardBaseUrl:
            _smith_dashboard_base_url("https://custom.example.com")
            == "https://smith.langchain.com"
        )
-
-
-class TestResolvePushedImageDigest:
-    """Tests for ``_resolve_pushed_image_digest`` — runner is mocked to
-    return the ``(stdout, stderr)`` tuple that ``subp_exec(collect=True)``
-    would produce.
-    """
-
-    @staticmethod
-    def _runner(stdout: str | None) -> MagicMock:
-        # Close the unawaited subp_exec coroutine to silence gc warnings.
-        runner = MagicMock()
-
-        def _run(coro, *args, **kwargs):
-            if hasattr(coro, "close"):
-                coro.close()
-            return (stdout, "")
-
-        runner.run.side_effect = _run
-        return runner
-
-    def test_happy_path_returns_digest(self):
-        runner = self._runner('["us-central1-docker.pkg.dev/proj/repo@sha256:abc123"]')
-        out = _resolve_pushed_image_digest(
-            runner,
-            remote_image="us-central1-docker.pkg.dev/proj/repo:latest",
-            docker_config_dir=None,
-            verbose=False,
-        )
-        assert out == "us-central1-docker.pkg.dev/proj/repo@sha256:abc123"
-
-    def test_filters_to_matching_repo(self):
-        # Same image ID can hold digests for multiple repos — pick the one
-        # matching the just-pushed repo.
-        runner = self._runner(
-            json.dumps(
-                [
-                    "other-registry.example.com/some/repo@sha256:000000",
-                    "us-central1-docker.pkg.dev/proj/repo@sha256:abc123",
-                ]
-            )
-        )
-        out = _resolve_pushed_image_digest(
-            runner,
-            remote_image="us-central1-docker.pkg.dev/proj/repo:v1.2.3",
-            docker_config_dir=None,
-            verbose=False,
-        )
-        assert out == "us-central1-docker.pkg.dev/proj/repo@sha256:abc123"
-
-    def test_empty_repodigests_falls_back_with_warning(self, mocker):
-        emitter = mocker.MagicMock()
-        mocker.patch("langgraph_cli.deploy._get_emitter", return_value=emitter)
-        runner = self._runner("[]")
-        remote = "us-central1-docker.pkg.dev/proj/repo:latest"
-        out = _resolve_pushed_image_digest(
-            runner,
-            remote_image=remote,
-            docker_config_dir=None,
-            verbose=False,
-        )
-        assert out == remote
-        assert emitter.warn.called
-        assert remote in emitter.warn.call_args.args[0]
-
-    def test_null_repodigests_falls_back_with_warning(self, mocker):
-        # ``docker inspect --format '{{json .RepoDigests}}'`` emits ``null``
-        # when the field is absent.
-        emitter = mocker.MagicMock()
-        mocker.patch("langgraph_cli.deploy._get_emitter", return_value=emitter)
-        runner = self._runner("null")
-        remote = "us-central1-docker.pkg.dev/proj/repo:latest"
-        out = _resolve_pushed_image_digest(
-            runner,
-            remote_image=remote,
-            docker_config_dir=None,
-            verbose=False,
-        )
-        assert out == remote
-        assert emitter.warn.called
-
-    def test_no_matching_repo_falls_back_with_warning(self, mocker):
-        # No matching digest for the pushed repo — warn and fall back to the
-        # tag-based ref rather than failing the deploy.
-        emitter = mocker.MagicMock()
-        mocker.patch("langgraph_cli.deploy._get_emitter", return_value=emitter)
-        runner = self._runner('["other-registry.example.com/some/repo@sha256:000000"]')
-        remote = "us-central1-docker.pkg.dev/proj/repo:latest"
-        out = _resolve_pushed_image_digest(
-            runner,
-            remote_image=remote,
-            docker_config_dir=None,
-            verbose=False,
-        )
-        assert out == remote
-        assert emitter.warn.called
-
-    def test_registry_with_port_in_host(self):
-        # Only the rightmost ``:`` (the ``:latest`` tag) should be stripped.
-        runner = self._runner('["localhost:5000/repo@sha256:deadbeef"]')
-        out = _resolve_pushed_image_digest(
-            runner,
-            remote_image="localhost:5000/repo:latest",
-            docker_config_dir=None,
-            verbose=False,
-        )
-        assert out == "localhost:5000/repo@sha256:deadbeef"
-
-    @staticmethod
-    def _capturing_runner(stdout: str) -> tuple[MagicMock, dict]:
-        """Like ``_runner`` but exposes the coroutine for arg introspection.
-        Caller must close ``captured["coro"]``.
-        """
-        runner = MagicMock()
-        captured: dict = {}
-
-        def _run(coro, *args, **kwargs):
-            captured["coro"] = coro
-            return (stdout, "")
-
-        runner.run.side_effect = _run
-        return runner, captured
-
-    def test_passes_docker_config_dir(self):
-        runner, captured = self._capturing_runner(
-            '["us-central1-docker.pkg.dev/proj/repo@sha256:abc"]'
-        )
-        _resolve_pushed_image_digest(
-            runner,
-            remote_image="us-central1-docker.pkg.dev/proj/repo:latest",
-            docker_config_dir="/tmp/some-cfg",
-            verbose=False,
-        )
-        frame_locals = captured["coro"].cr_frame.f_locals
-        assert frame_locals["cmd"] == "docker"
-        assert "--config" in frame_locals["args"]
-        cfg_idx = frame_locals["args"].index("--config")
-        assert frame_locals["args"][cfg_idx + 1] == "/tmp/some-cfg"
-        captured["coro"].close()
-
-    def test_omits_docker_config_dir_when_none(self):
-        runner, captured = self._capturing_runner(
-            '["us-central1-docker.pkg.dev/proj/repo@sha256:abc"]'
-        )
-        _resolve_pushed_image_digest(
-            runner,
-            remote_image="us-central1-docker.pkg.dev/proj/repo:latest",
-            docker_config_dir=None,
-            verbose=False,
-        )
-        frame_locals = captured["coro"].cr_frame.f_locals
-        assert "--config" not in frame_locals["args"]
-        captured["coro"].close()
@@ -7,7 +7,6 @@ dependencies = [
    "langgraph>=0.6.0,<2",
    "langchain-core>=0.2.14",
    "shared",
-    "langgraph-checkpoint-postgres>=3.0.0"
 ]

 [build-system]
@@ -5,8 +5,7 @@ description = "uv workspace monorepo example for LangGraph CLI integration test"
 requires-python = ">=3.11"
 dependencies = [
    "langgraph>=0.6.0,<2",
-    "langchain-core>=1.3.3",
-    "langgraph-checkpoint-postgres>=3.0.0"
+    "langchain-core>=0.2.14",
 ]

 [tool.uv.workspace]
@@ -16,7 +16,6 @@ source = { editable = "apps/agent" }
 dependencies = [
    { name = "langchain-core" },
    { name = "langgraph" },
-    { name = "langgraph-checkpoint-postgres" },
    { name = "shared" },
 ]

@@ -24,7 +23,6 @@ dependencies = [
 requires-dist = [
    { name = "langchain-core", specifier = ">=0.2.14" },
    { name = "langgraph", specifier = ">=0.6.0,<2" },
-    { name = "langgraph-checkpoint-postgres", specifier = ">=3.0.0" },
    { name = "shared", editable = "libs/shared" },
 ]

@@ -217,11 +215,10 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "1.3.3"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
-    { name = "langchain-protocol" },
    { name = "langsmith" },
    { name = "packaging" },
    { name = "pydantic" },
@@ -230,21 +227,9 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
+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 = [
-    { url = "https://files.pythonhosted.org/packages/1f/01/4771b7ab2af1d1aba5b710bd8f13d9225c609425214b357590a17b01be77/langchain_core-1.3.3-py3-none-any.whl", hash = "sha256:18aae8506f37da7f74398492279a7d6efcee4f8e23c4c41c7af080eeb7ef7bd1", size = 543857, upload-time = "2026-05-05T19:02:34.52Z" },
-]
-
-[[package]]
-name = "langchain-protocol"
-version = "0.0.15"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
+    { 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]]
@@ -277,21 +262,6 @@ wheels = [
    { 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]]
-name = "langgraph-checkpoint-postgres"
-version = "3.0.5"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "langgraph-checkpoint" },
-    { name = "orjson" },
-    { name = "psycopg" },
-    { name = "psycopg-pool" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/95/7a/8f439966643d32111248a225e6cb33a182d07c90de780c4dbfc1e0377832/langgraph_checkpoint_postgres-3.0.5.tar.gz", hash = "sha256:a8fd7278a63f4f849b5cbc7884a15ca8f41e7d5f7467d0a66b31e8c24492f7eb", size = 127856, upload-time = "2026-03-18T21:25:29.785Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/e8/87/b0f98b33a67204bca9d5619bcd9574222f6b025cf3c125eedcec9a50ecbc/langgraph_checkpoint_postgres-3.0.5-py3-none-any.whl", hash = "sha256:86d7040a88fd70087eaafb72251d796696a0a2d856168f5c11ef620771411552", size = 42907, upload-time = "2026-03-18T21:25:28.75Z" },
-]
-
 [[package]]
 name = "langgraph-prebuilt"
 version = "1.0.9"
@@ -320,7 +290,7 @@ wheels = [

 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -333,9 +303,9 @@ dependencies = [
    { name = "xxhash" },
    { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
+    { 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" },
 ]

 [[package]]
@@ -463,31 +433,6 @@ wheels = [
    { url = "https://files.pythonhosted.org/packages/b7/b9/c538f279a4e237a006a2c98387d081e9eb060d203d8ed34467cc0f0b9b53/packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529", size = 74366, upload-time = "2026-01-21T20:50:37.788Z" },
 ]

-[[package]]
-name = "psycopg"
-version = "3.3.4"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
-    { name = "tzdata", marker = "sys_platform == 'win32'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/db/2f/cb91e5502ec9de1de6f1b76cfbf69531932725361168bb06963620c77e2e/psycopg-3.3.4.tar.gz", hash = "sha256:e21207764952cff81b6b8bdacad9a3939f2793367fdac2987b3aac36a651b5bc", size = 165799, upload-time = "2026-05-01T23:31:55.179Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/5c/e0/7b3dee031daae7743609ce3c746565d4a3ed7c2c186479eb48e34e838c64/psycopg-3.3.4-py3-none-any.whl", hash = "sha256:b6bbc25ccf05c8fad3b061d9db2ef0909a555171b84b07f29458a447253d679a", size = 213001, upload-time = "2026-05-01T23:20:50.816Z" },
-]
-
-[[package]]
-name = "psycopg-pool"
-version = "3.3.1"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/90/82/7a23d26039827ecd4ebe93905651029ddd307c5182ad59296dfb6f67b528/psycopg_pool-3.3.1.tar.gz", hash = "sha256:b10b10b7a175d5cc1592147dc5b7eec8a9e0834eb3ed2c4a92c858e2f51eb63c", size = 31661, upload-time = "2026-05-01T23:31:59.809Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/37/ed/89c2c620af0e1660354cd8aabf9f5b21f911597ce22acb37c805d6c86bc8/psycopg_pool-3.3.1-py3-none-any.whl", hash = "sha256:2af5b432941c4c9ad5c87b3fa410aec910ec8f7c122855897983a06c45f2e4b5", size = 40023, upload-time = "2026-05-01T23:31:53.136Z" },
-]
-
 [[package]]
 name = "pydantic"
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 [[package]]
@@ -29,9 +29,6 @@ from langgraph._internal._constants import (
 )

 DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "10007"))
-DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT = int(
-    getenv("LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT", "5000")
-)


 def recast_checkpoint_ns(ns: str) -> str:
@@ -32,7 +32,7 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
        change in future releases. Threads written with `DeltaChannel` today
        are expected to remain readable, but the surrounding contract
        (`BaseCheckpointSaver.get_delta_channel_history`, the
-        `_DeltaSnapshot` blob shape, the `counters_since_delta_snapshot`
+        `_DeltaSnapshot` blob shape, the `delta_updates_since_snapshot`
        metadata field) is not yet stable.

    The reducer receives the current accumulated value and a batch of writes
@@ -47,12 +47,9 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
    This lets LangGraph replay checkpointed writes in larger batches than they
    were originally produced without changing reconstructed state.

-    Snapshot cadence is driven by two counters: per-channel update count and
-    total supersteps since last snapshot. `create_checkpoint` writes a full
-    `_DeltaSnapshot` blob when EITHER the update count reaches
-    `snapshot_frequency` OR the supersteps count reaches the system-wide
-    `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` bound (default 5000), bounding
-    replay depth even for channels that stop receiving writes.
+    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
@@ -6,7 +6,7 @@ import typing
 import warnings
 from collections import defaultdict
 from collections.abc import Awaitable, Callable, Hashable, Sequence
-from dataclasses import dataclass, is_dataclass
+from dataclasses import is_dataclass
 from datetime import timedelta
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
@@ -95,17 +95,6 @@ __all__ = ("StateGraph", "CompiledStateGraph")
 logger = logging.getLogger(__name__)

 _CHANNEL_BRANCH_TO = "branch:to:{}"
-_DEFAULT_ERROR_HANDLER_NODE = "__default_error_handler__"
-
-
-@dataclass(slots=True)
-class _NodeDefaults:
-    """Default node policies applied to every node at compile time."""
-
-    retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None
-    cache_policy: CachePolicy | None = None
-    error_handler: StateNode[Any, Any] | None = None
-    timeout: TimeoutPolicy | None = None


 def _warn_invalid_state_schema(schema: type[Any] | Any) -> None:
@@ -262,77 +251,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        self.output_schema = cast(type[OutputT], output_schema or state_schema)
        self.context_schema = context_schema

-        self._node_defaults: _NodeDefaults = _NodeDefaults()
-
        self._add_schema(self.state_schema)
        self._add_schema(self.input_schema, allow_managed=False)
        self._add_schema(self.output_schema, allow_managed=False)

-    def set_node_defaults(
-        self,
-        *,
-        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
-        cache_policy: CachePolicy | None = None,
-        error_handler: StateNode[Any, ContextT] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
-    ) -> Self:
-        """Set default node policies that apply to every node in this graph.
-
-        Per-node values passed to `add_node` always take precedence over these
-        defaults. Defaults are applied at `compile()` time. Policies set here
-        are **not** inherited by subgraphs.
-
-        `retry_policy` and `timeout` defaults apply to **all** nodes,
-        including error-handler nodes. `cache_policy` and `error_handler`
-        defaults only apply to regular nodes -- caching error-handler results
-        is unsafe, and handlers must never catch themselves.
-
-        Args:
-            retry_policy: Default retry policy for nodes that don't specify
-                their own via `add_node(..., retry_policy=...)`. Also applies
-                to error-handler nodes.
-            cache_policy: Default cache policy for nodes that don't specify
-                their own via `add_node(..., cache_policy=...)`. Does **not**
-                apply to error-handler nodes.
-            error_handler: Default error handler invoked when any regular node
-                raises and does not have its own `error_handler` set via
-                `add_node`. The handler is **not** invoked when an
-                error-handler node itself raises -- handler failures fail the
-                run.
-            timeout: Default timeout policy for nodes that don't specify their
-                own via `add_node(..., timeout=...)`. Also applies to
-                error-handler nodes. Accepts a `TimeoutPolicy`, a number of
-                seconds (`float`), or a `timedelta`.
-
-        Returns:
-            Self: The builder instance, for chaining.
-
-        Example:
-            ```python
-            graph = (
-                StateGraph(State)
-                .set_node_defaults(
-                    retry_policy=RetryPolicy(max_attempts=3),
-                    error_handler=my_fallback_handler,
-                )
-                .add_node("a", node_a)
-                .add_node("b", node_b, retry_policy=custom_retry)  # overrides default
-                .add_edge(START, "a")
-                .compile()
-            )
-            ```
-        """
-        defaults = self._node_defaults
-        if retry_policy is not None:
-            defaults.retry_policy = retry_policy
-        if cache_policy is not None:
-            defaults.cache_policy = cache_policy
-        if error_handler is not None:
-            defaults.error_handler = error_handler
-        if timeout is not None:
-            defaults.timeout = coerce_timeout_policy(timeout)
-        return self
-
    @property
    def _all_edges(self) -> set[tuple[str, str]]:
        return self.edges | {
@@ -1271,63 +1193,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                key for key, val in self.channels.items() if not is_managed_value(val)
            ]
        )
-        # Apply builder defaults to node specs. Per-node values always win.
-        # Error-handler routing and cache_policy are only assigned to regular
-        # nodes. Retry and timeout defaults also apply to error-handler nodes.
-        defaults = self._node_defaults
-        default_handler_name: str | None = None
-        if defaults.error_handler is not None:
-            if _DEFAULT_ERROR_HANDLER_NODE in self.nodes:
-                raise ValueError(
-                    f"Auto-generated default error handler node "
-                    f"`{_DEFAULT_ERROR_HANDLER_NODE}` already exists."
-                )
-            default_handler_name = _DEFAULT_ERROR_HANDLER_NODE
-            self.nodes[default_handler_name] = StateNodeSpec[Any, ContextT](
-                coerce_to_runnable(
-                    defaults.error_handler,  # type: ignore[arg-type]
-                    name=default_handler_name,
-                    trace=False,
-                ),
-                metadata=None,
-                input_schema=self.state_schema,
-                retry_policy=None,
-                cache_policy=None,
-                is_error_handler=True,
-            )
-
-        # Apply builder defaults to node specs. Per-node values always win.
-        for spec in self.nodes.values():
-            # error_handler: regular nodes only — handlers must never
-            # catch themselves or other handlers.
-            if (
-                not spec.is_error_handler
-                and default_handler_name is not None
-                and spec.error_handler_node is None
-            ):
-                spec.error_handler_node = default_handler_name
-            # retry: all nodes — handlers should be retried on transient
-            # failures just like regular nodes.
-            if defaults.retry_policy is not None and spec.retry_policy is None:
-                spec.retry_policy = defaults.retry_policy
-            # cache: regular nodes only — caching an error-handler result
-            # is unsafe because the input (failed-node state) may differ
-            # across failures even when the cache key matches.
-            if (
-                not spec.is_error_handler
-                and defaults.cache_policy is not None
-                and spec.cache_policy is None
-            ):
-                spec.cache_policy = defaults.cache_policy
-            # timeout: all nodes — a stuck handler should be cancelled the
-            # same way a stuck regular node would be.
-            if defaults.timeout is not None and spec.timeout is None:
-                spec.timeout = defaults.timeout
-
        node_error_handler_map = {
            node_name: spec.error_handler_node
            for node_name, spec in self.nodes.items()
-            if not spec.is_error_handler and spec.error_handler_node is not None
+            if spec.error_handler_node is not None
        }

        compiled = CompiledStateGraph[StateT, ContextT, InputT, OutputT](
@@ -8,11 +8,11 @@ from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
    BaseCheckpointSaver,
    Checkpoint,
+    CheckpointMetadata,
 )
 from langgraph.checkpoint.base.id import uuid6
 from langgraph.checkpoint.serde.types import _DeltaSnapshot

-from langgraph._internal._config import DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
 from langgraph._internal._typing import MISSING
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.delta import DeltaChannel
@@ -36,26 +36,21 @@ def empty_checkpoint() -> Checkpoint:

 def delta_channels_to_snapshot(
    channels: Mapping[str, BaseChannel],
-    counters_since_delta_snapshot: Mapping[str, tuple[int, int]],
+    counts: Mapping[str, int],
 ) -> set[str]:
    """Return the set of DeltaChannel names that should snapshot now.

-    A channel snapshots when EITHER its accumulated update count reaches
-    `snapshot_frequency` OR the total supersteps since its last snapshot
-    reaches `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`. This is a pure
+    A channel snapshots when its accumulated update count (since the last
+    snapshot) reaches or exceeds `snapshot_frequency`. This is a pure
    predicate — no mutation.
    """
-    result: set[str] = set()
-    for name, ch in channels.items():
-        if not isinstance(ch, DeltaChannel) or not ch.is_available():
-            continue
-        updates, supersteps = counters_since_delta_snapshot.get(name, (0, 0))
-        if (
-            updates >= ch.snapshot_frequency
-            or supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
-        ):
-            result.add(name)
-    return result
+    return {
+        name
+        for name, ch in channels.items()
+        if isinstance(ch, DeltaChannel)
+        and ch.is_available()
+        and counts.get(name, 0) >= ch.snapshot_frequency
+    }


 def create_checkpoint(
@@ -74,7 +69,7 @@ def create_checkpoint(
    is written into `channel_values[k]`. Other delta channels are omitted
    from `channel_values` — the ancestor walk reconstructs their state
    from `checkpoint_writes`. Callers compute the set via
-    `delta_channels_to_snapshot(channels, counters)`; defaults to empty
+    `delta_channels_to_snapshot(channels, counts)`; defaults to empty
    (no snapshots) when not provided.
    """
    ts = datetime.now(timezone.utc).isoformat()
@@ -236,3 +231,17 @@ 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 {})
@@ -115,7 +115,6 @@ from langgraph.pregel._io import (
    map_output_values,
    read_channels,
 )
-from langgraph.pregel._messages import ensure_message_ids
 from langgraph.pregel._read import PregelNode
 from langgraph.pregel._utils import get_new_channel_versions, is_xxh3_128_hexdigest
 from langgraph.pregel.debug import (
@@ -204,12 +203,6 @@ class PregelLoop:
    # `__enter__`; stays `None` only when no checkpointer.
    _delta_write_futs: list[Any] | None = None

-    # Same pattern as `_delta_write_futs` but for error-handler writes.
-    # When `put_writes` persists an ERROR_SOURCE_NODE marker, the future is
-    # appended here.  `schedule_error_handler` / `aschedule_error_handler`
-    # drain this list so the write is durable before the handler starts.
-    _error_handler_write_futs: list[Any] | None = None
-
    # Exit-mode accumulator: every delta-channel write produced during this
    # run (input writes from `_first` + per-superstep writes captured in
    # `after_tick`). At exit, `_put_exit_delta_writes` filters out channels
@@ -448,14 +441,6 @@ class PregelLoop:

        # save writes
        self.checkpoint_pending_writes.extend((task_id, c, v) for c, v in writes)
-        # Assign stable IDs to any id=None BaseMessages in DeltaChannel writes
-        # before the background thread serialises them. Without this, reducers
-        # that assign IDs inside apply_writes() race with serialisation and
-        # store id=None, causing get_state() replays to produce a different UUID
-        # on every call.
-        for c, v in writes_to_save:
-            if isinstance(self.specs.get(c), DeltaChannel):
-                ensure_message_ids(v)
        if self.durability != "exit" and self.checkpointer_put_writes is not None:
            config = patch_configurable(
                self.checkpoint_config,
@@ -489,13 +474,6 @@ class PregelLoop:
                isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
            ):
                self._delta_write_futs.append(fut)
-            # ERROR_SOURCE_NODE is only appended by commit() when the task
-            # has an error handler (_should_route_to_error_handler), so this
-            # check naturally limits future collection to those tasks.
-            if self._error_handler_write_futs is not None and any(
-                c == ERROR_SOURCE_NODE for c, _ in writes
-            ):
-                self._error_handler_write_futs.append(fut)
        # output writes
        if hasattr(self, "tasks"):
            self.output_writes(task_id, writes)
@@ -575,7 +553,7 @@ class PregelLoop:
            self.tasks[pushed.id] = pushed
            # match any pending writes to the new task
            if not self.is_replaying:
-                self._reapply_writes_to_succeeded_nodes({pushed.id: pushed})
+                self._match_writes({pushed.id: pushed})
            # return the new task, to be started if not run before
            return pushed

@@ -653,8 +631,7 @@ class PregelLoop:

        # if there are pending writes from a previous loop, apply them
        if not self.is_replaying and self.checkpoint_pending_writes:
-            self._reapply_writes_to_succeeded_nodes(self.tasks)
-            self._resume_error_handlers_if_applicable()
+            self._match_writes(self.tasks)

        # before execution, check if we should interrupt
        if self.interrupt_before and should_interrupt(
@@ -721,88 +698,13 @@ class PregelLoop:

    # private

-    def _reapply_writes_to_succeeded_nodes(
-        self, tasks: Mapping[str, PregelExecutableTask]
-    ) -> None:
-        """Restore successful channel writes from checkpoint to in-memory tasks.
-
-        Skips control signals (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME)
-        so that failed/interrupted tasks remain with empty writes and will be
-        re-executed (or routed to error handlers) by the runner.
-        """
+    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):
                continue
            if task := tasks.get(tid):
                task.writes.append((k, v))

-    def _resume_error_handlers_if_applicable(self) -> None:
-        """On resume, schedule error handlers for tasks that failed in a prior run.
-
-        Called right after ``_reapply_writes_to_succeeded_nodes`` during ``tick()``.
-        At that point, ``_reapply_writes_to_succeeded_nodes`` has already skipped
-        ERROR / ERROR_SOURCE_NODE writes, so a previously-failed task still has
-        empty ``writes``.  Without intervention the runner (which executes only
-        tasks where ``not t.writes``) would re-run the original node.
-
-        This method prevents that re-execution for nodes that have an error
-        handler:
-
-        1. Scan ``checkpoint_pending_writes`` for ERROR_SOURCE_NODE markers
-           persisted by a prior ``commit()``.  Each marker means "this task
-           already failed and was routed to an error handler".
-        2. For each such task, write ``(ERROR, error)`` into ``task.writes``
-           so the task is no longer empty — the runner will skip it.
-        3. Prepare a fresh error-handler task and add it to ``self.tasks``.
-           Because the handler task starts with empty ``writes``, the runner
-           will pick it up and execute it.
-        """
-        # Phase 1: collect task-ids that have ERROR_SOURCE_NODE + ERROR pairs.
-        failed: dict[str, BaseException] = {}
-        for tid, chan, val in self.checkpoint_pending_writes:
-            if chan == ERROR_SOURCE_NODE:
-                error = next(
-                    (
-                        v
-                        for t, c, v in self.checkpoint_pending_writes
-                        if t == tid and c == ERROR
-                    ),
-                    None,
-                )
-                if error is not None:
-                    failed[tid] = error
-        # Phase 2: mark originals as done, schedule handler tasks.
-        for task_id, error in failed.items():
-            task = self.tasks.get(task_id)
-            if task is None:
-                continue
-            handler_node = self.nodes[task.name].error_handler_node
-            if not handler_node:
-                continue
-            # Non-empty writes → runner's `not t.writes` filter skips this task.
-            task.writes.append((ERROR, error))
-            # The handler task starts with empty writes → runner will execute it.
-            handler_task = prepare_node_error_handler_task(
-                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=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 not None:
-                self.tasks[handler_task.id] = handler_task
-
    def _pending_interrupts(self) -> set[str]:
        """Return the set of interrupt ids that are pending without corresponding resume values."""
        # mapping of task ids to interrupt ids
@@ -1076,41 +978,35 @@ class PregelLoop:
        if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
            # checkpoint already saved
            return
-        # Per-delta-channel counter bookkeeping.
-        #
-        # Each delta channel tracks a (updates, supersteps) tuple:
-        # - `updates` increments only when the channel is written this step.
-        # - `supersteps` increments every superstep regardless.
+        # Per-delta-channel update bookkeeping.
        #
        # `_put_checkpoint` is called once per superstep with a fresh
        # metadata dict (source="input"|"loop"|"fork") — those are the
-        # intermediate calls that bump counters. In exit mode,
+        # intermediate calls that bump the count by +1 for each delta
+        # channel touched that step. In exit mode,
        # `_suppress_interrupt`(will rename to _on_loop_exit soon)
        # additionally calls `_put_checkpoint(self.checkpoint_metadata)` AT
        # EXIT to commit the final checkpoint — this runs *after* the last
        # intermediate call already counted the last superstep. So the
        # exit call must NOT bump again or it would double-count the last
-        # superstep.
+        # superstep. (Sync/async durability does not call `_put_checkpoint`
+        # at exit, so the issue only surfaces in exit mode. force_delta_snapshot
+        # used to mask this latent bug by resetting every count to 0.)
        if not exiting:
-            prev_counters = dict(
-                self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
+            prev_counts = dict(
+                self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
            )
-            new_counters: dict[str, tuple[int, int]] = {}
-            updated = self.updated_channels or set()
-            for ch_name, ch in self.channels.items():
-                if not isinstance(ch, DeltaChannel):
-                    continue
-                u, s = prev_counters.get(ch_name, (0, 0))
-                s += 1
-                if ch_name in updated:
-                    u += 1
-                new_counters[ch_name] = (u, s)
+            new_counts = dict(prev_counts)
+            if self.updated_channels:
+                for ch_name in self.updated_channels:
+                    if isinstance(self.channels.get(ch_name), DeltaChannel):
+                        new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
            metadata["step"] = self.step
            metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
            self.checkpoint_metadata = metadata
        else:
-            new_counters = dict(
-                self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
+            new_counts = dict(
+                self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
            )
        # do checkpoint?
        do_checkpoint = self._checkpointer_put_after_previous is not None and (
@@ -1118,7 +1014,7 @@ class PregelLoop:
        )
        # create new checkpoint
        channels_to_snapshot = (
-            delta_channels_to_snapshot(self.channels, new_counters)
+            delta_channels_to_snapshot(self.channels, new_counts)
            if do_checkpoint
            else set()
        )
@@ -1134,12 +1030,11 @@ class PregelLoop:
            channels_to_snapshot=channels_to_snapshot,
        )
        for k in channels_to_snapshot:
-            new_counters[k] = (0, 0)
-        non_zero = {k: v for k, v in new_counters.items() if v != (0, 0)}
-        if non_zero:
-            self.checkpoint_metadata["counters_since_delta_snapshot"] = non_zero
-        elif "counters_since_delta_snapshot" in self.checkpoint_metadata:
-            del self.checkpoint_metadata["counters_since_delta_snapshot"]
+            new_counts[k] = 0
+        if new_counts:
+            self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
+        elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
+            del self.checkpoint_metadata["delta_updates_since_snapshot"]
        # sanitize TASK channel in the checkpoint before saving (durability=="exit")
        if TASKS in self.checkpoint["channel_values"] and any(
            isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -1214,10 +1109,8 @@ class PregelLoop:
        ):
            return

-        counters = dict(
-            self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
-        )
-        channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
+        counts = self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
+        channels_to_snapshot = delta_channels_to_snapshot(self.channels, counts)

        pending = [
            (step, tid, ch, v)
@@ -1552,10 +1445,12 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
        handler_node = self.nodes[failed_task.name].error_handler_node
        if not handler_node:
            return None
-        # ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
-        if self._error_handler_write_futs:
-            futs, self._error_handler_write_futs = self._error_handler_write_futs, []
-            concurrent.futures.wait(futs)
+        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,
@@ -1578,7 +1473,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
            return None
        self.tasks[handler_task.id] = handler_task
        if not self.is_replaying:
-            self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
+            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
@@ -1660,7 +1555,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
            else []
        )
        self._delta_write_futs = []
-        self._error_handler_write_futs = []
        self._exit_delta_writes = (
            [] if self.durability == "exit" and self.checkpointer is not None else None
        )
@@ -1806,10 +1700,12 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
        handler_node = self.nodes[failed_task.name].error_handler_node
        if not handler_node:
            return None
-        # ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
-        if self._error_handler_write_futs:
-            futs, self._error_handler_write_futs = self._error_handler_write_futs, []
-            await asyncio.gather(*futs)
+        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,
@@ -1832,7 +1728,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            return None
        self.tasks[handler_task.id] = handler_task
        if not self.is_replaying:
-            self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
+            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
@@ -1917,7 +1813,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            else []
        )
        self._delta_write_futs = []
-        self._error_handler_write_futs = []
        self._exit_delta_writes = (
            [] if self.durability == "exit" and self.checkpointer is not None else None
        )
@@ -10,8 +10,7 @@ from typing import (
 from uuid import UUID, uuid4

 from langchain_core.callbacks import BaseCallbackHandler
-from langchain_core.messages import BaseMessage, ToolMessage
-from langchain_core.messages.utils import convert_to_messages
+from langchain_core.messages import BaseMessage
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
 from pydantic import BaseModel

@@ -304,35 +303,6 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
        super().__init__(stream, subgraphs, parent_ns=parent_ns)
        self._streamed_run_ids: set[UUID] = set()

-    def _find_and_emit_messages(self, meta: Meta, response: Any) -> None:
-        """Like the v1 handler, but skip ToolMessage from node outputs.
-
-        Tool results belong on the tools channel / state in v3; v2-flagged streams
-        must not replay finalized ToolMessages as chat tokens (see MessagesTransformer).
-        Legacy v1-only `stream_mode="messages"` still emits ToolMessages (see subgraph
-        streaming tests).
-        """
-        if isinstance(response, BaseMessage) and not isinstance(response, ToolMessage):
-            self._emit(meta, response, dedupe=True)
-        elif isinstance(response, Sequence):
-            for value in response:
-                if isinstance(value, BaseMessage) and not isinstance(
-                    value, ToolMessage
-                ):
-                    self._emit(meta, value, dedupe=True)
-        else:
-            for value in _state_values(response):
-                if isinstance(value, BaseMessage) and not isinstance(
-                    value, ToolMessage
-                ):
-                    self._emit(meta, value, dedupe=True)
-                elif isinstance(value, Sequence):
-                    for item in value:
-                        if isinstance(item, BaseMessage) and not isinstance(
-                            item, ToolMessage
-                        ):
-                            self._emit(meta, item, dedupe=True)
-
    def on_llm_end(
        self,
        response: LLMResult,
@@ -406,56 +376,3 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
                    self.seen.add(msg_id)
            v2_meta = {**meta[1], "run_id": str(run_id)}
            self.stream((meta[0], "messages", (event, v2_meta)))
-
-
-# Known role values (OpenAI-style) and type values (LangChain serialisation)
-# that identify a dict as a message. Checked before coercing to BaseMessage so
-# we don't accidentally touch unrelated dicts that happen to have a "role" key.
-_MESSAGE_ROLES: frozenset[str] = frozenset(
-    {"user", "human", "assistant", "ai", "tool", "system", "function"}
-)
-_MESSAGE_TYPES: frozenset[str] = frozenset(
-    {"human", "ai", "tool", "system", "function", "remove"}
-)
-
-
-def _is_message_dict(item: dict) -> bool:
-    return item.get("role") in _MESSAGE_ROLES or item.get("type") in _MESSAGE_TYPES
-
-
-def ensure_message_ids(value: Any) -> None:
-    """Coerce message-like write values to typed BaseMessages with stable IDs.
-
-    Called in put_writes() before DeltaChannel writes are submitted to the
-    checkpointer. Without this the checkpoint may store raw dicts or id=None
-    BaseMessages; every get_state() replay then produces a different UUID and
-    the same message appears with a different ID in each LangSmith trace.
-
-    Handles three input shapes:
-    - BaseMessage objects: assign a UUID if id is None.
-    - Dicts with a known "role" (OpenAI-style) or "type" (LangChain format) at
-      the root level: stamp "id" into the dict in-place. The reducer's
-      convert_to_messages call will forward the id to the resulting BaseMessage.
-    - Lists of the above: apply the same logic to each element, replacing dict
-      items with coerced BaseMessages so the shared list reference seen by
-      checkpoint_pending_writes and the background thread both get typed messages.
-
-    Mutating synchronously here (before the background thread is submitted) is
-    safe: the serialised bytes always reflect the post-coercion state.
-    """
-    if isinstance(value, BaseMessage):
-        if value.id is None:
-            value.id = str(uuid4())
-    elif isinstance(value, dict) and _is_message_dict(value):
-        if not value.get("id"):
-            value["id"] = str(uuid4())
-    elif isinstance(value, list):
-        for i, item in enumerate(value):
-            if isinstance(item, BaseMessage):
-                if item.id is None:
-                    item.id = str(uuid4())
-            elif isinstance(item, dict) and _is_message_dict(item):
-                msg = convert_to_messages([item])[0]
-                if msg.id is None:
-                    msg.id = str(uuid4())
-                value[i] = msg
@@ -31,7 +31,6 @@ from langgraph._internal._constants import (
    CONFIG_KEY_CALL,
    CONFIG_KEY_SCRATCHPAD,
    ERROR,
-    ERROR_SOURCE_NODE,
    INTERRUPT,
    NO_WRITES,
    RESUME,
@@ -598,7 +597,7 @@ class PregelRunner:
                if self._should_route_to_error_handler(task) and not isinstance(
                    exception, GraphBubbleUp
                ):
-                    task.writes.append((ERROR_SOURCE_NODE, task.name))
+                    # 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:
@@ -17,9 +17,9 @@ from langgraph.stream.transformers import (
    CheckpointsTransformer,
    CustomTransformer,
    DebugTransformer,
+    LifecycleEvent,
    LifecyclePayload,
    LifecycleTransformer,
-    SubgraphStatus,
    SubgraphTransformer,
    TasksTransformer,
    UpdatesTransformer,
@@ -32,13 +32,13 @@ __all__ = [
    "CustomTransformer",
    "DebugTransformer",
    "GraphRunStream",
+    "LifecycleEvent",
    "LifecyclePayload",
    "LifecycleTransformer",
    "ProtocolEvent",
    "StreamChannel",
    "StreamTransformer",
    "SubgraphRunStream",
-    "SubgraphStatus",
    "SubgraphTransformer",
    "TasksTransformer",
    "UpdatesTransformer",
@@ -62,14 +62,6 @@ class StreamMux:
        `extensions`, `_native` keys are recorded in `native_keys`, and
        any StreamChannel instances are bound and (if named) wired.

-        Transformers with `StreamTransformer.before_builtins = True` are
-        registered ahead of the rest, preserving relative order within
-        each lane. This lets content-mutating transformers (PII
-        redaction, content filters, etc.) run before built-ins like
-        `MessagesTransformer` that eagerly snapshot text fields into
-        their projections. See `StreamTransformer.before_builtins` for
-        the contract and foot-guns.
-
        Args:
            transformers: Already-built transformer instances. Registered
                only on this mux — they are NOT cloned into child
@@ -120,31 +112,14 @@ class StreamMux:
        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. Within each group, transformers with
-        # `before_builtins = True` are registered ahead of the rest so
-        # they observe (and may mutate) events before built-ins like
-        # `MessagesTransformer`. The order *within* each lane matches
-        # the supplied sequence.
-        pre: list[StreamTransformer] = []
-        rest: list[StreamTransformer] = []
+        # 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:
-                transformer = factory(scope)
-                (
-                    pre if getattr(transformer, "before_builtins", False) else rest
-                ).append(transformer)
-            for transformer in (*pre, *rest):
-                self._register(transformer)
-            pre.clear()
-            rest.clear()
+                self._register(factory(scope))
        for transformer in transformers or ():
-            (pre if getattr(transformer, "before_builtins", False) else rest).append(
-                transformer
-            )
-        for transformer in (*pre, *rest):
            self._register(transformer)

    def transformer_by_key(self, key: str) -> StreamTransformer | None:
@@ -91,28 +91,11 @@ class StreamTransformer(ABC):
            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).
-        before_builtins: Opt-in for transformers that must run *before*
-            built-in transformers like `MessagesTransformer` and
-            `ToolCallTransformer`. The mux partitions factories by this
-            flag at registration time: `before_builtins = True`
-            transformers are registered first, then everything else in
-            the order supplied. Within each lane, registration order is
-            preserved. This is the supported hook for content-mutating
-            transformers (PII redaction, profanity filters, etc.) whose
-            mutations must land before built-ins eagerly snapshot text
-            fields into their projections. **Foot-gun:** transformers
-            in this lane see `tasks` events before `LifecycleTransformer`
-            and `SubgraphTransformer` consume them — mutating
-            `event["params"]["namespace"]` or the data dict's
-            `id` / `result` / `error` / `interrupts` fields will desync
-            their bookkeeping. Observe freely; mutate only fields no
-            built-in reads (e.g. `delta.text` on `messages` events).
    """

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

    def __init__(self, scope: tuple[str, ...] = ()) -> None:
        """Initialize the transformer with its mux's scope.
@@ -12,7 +12,7 @@ from langgraph.stream._mux import StreamMux
 from langgraph.stream._types import ProtocolEvent

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


 def _drive_until_done(pump: Callable[[], bool]) -> None:
@@ -523,8 +523,8 @@ class _SubgraphRunStreamMixin:

    path: tuple[str, ...]
    graph_name: str | None
-    trigger_call_id: str | None
-    status: SubgraphStatus
+    parent_task_id: str | None
+    status: LifecycleEvent
    error: str | None
    _seen_terminal: bool

@@ -538,7 +538,7 @@ class SubgraphRunStream(GraphRunStream, _SubgraphRunStreamMixin):
        *,
        path: tuple[str, ...],
        graph_name: str | None = None,
-        trigger_call_id: str | None = None,
+        parent_task_id: str | None = None,
    ) -> None:
        # Capture the parent-inherited pump before super().__init__
        # touches anything; we delegate to it from `_pump_next`.
@@ -550,7 +550,7 @@ class SubgraphRunStream(GraphRunStream, _SubgraphRunStreamMixin):
        )
        self.path = path
        self.graph_name = graph_name
-        self.trigger_call_id = trigger_call_id
+        self.parent_task_id = parent_task_id
        self.status = "started"
        self.error = None
        self._seen_terminal = False
@@ -581,7 +581,7 @@ class AsyncSubgraphRunStream(AsyncGraphRunStream, _SubgraphRunStreamMixin):
        *,
        path: tuple[str, ...],
        graph_name: str | None = None,
-        trigger_call_id: str | None = None,
+        parent_task_id: str | None = None,
    ) -> None:
        self._parent_apump_fn: Callable[[], Awaitable[bool]] | None = mux._apump_fn
        super().__init__(
@@ -591,7 +591,7 @@ class AsyncSubgraphRunStream(AsyncGraphRunStream, _SubgraphRunStreamMixin):
        )
        self.path = path
        self.graph_name = graph_name
-        self.trigger_call_id = trigger_call_id
+        self.parent_task_id = parent_task_id
        self.status = "started"
        self.error = None
        self._seen_terminal = False
@@ -8,7 +8,7 @@ from langchain_core.language_models.chat_model_stream import (
    AsyncChatModelStream,
    ChatModelStream,
 )
-from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
+from langchain_core.messages import AIMessageChunk, BaseMessage
 from langchain_protocol.protocol import MessagesData
 from typing_extensions import NotRequired, TypedDict

@@ -203,7 +203,6 @@ class MessagesTransformer(StreamTransformer):
        # Correlate protocol events back to a ChatModelStream by run_id
        # (attached to the event's metadata by StreamMessagesHandler).
        self._by_run: dict[str, ChatModelStream] = {}
-        self._ignored_runs: set[str] = set()
        self._pump_fn: Callable[[], bool] | None = None
        self._apump_fn: Callable[[], Awaitable[bool]] | None = None
        # Cached as a list once for cheap equality with the protocol
@@ -277,10 +276,8 @@ class MessagesTransformer(StreamTransformer):
            self._route_protocol_event(
                cast("MessagesData", payload), run_id=run_id, node=node
            )
-        elif (
-            isinstance(payload, BaseMessage)
-            and not isinstance(payload, AIMessageChunk)
-            and not isinstance(payload, ToolMessage)
+        elif isinstance(payload, BaseMessage) and not isinstance(
+            payload, AIMessageChunk
        ):
            self._route_whole_message(payload, node=node)
        # Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
@@ -298,11 +295,6 @@ class MessagesTransformer(StreamTransformer):
    ) -> None:
        event_type = event.get("event")
        if event_type == "message-start":
-            # Tool results are exposed on the tools projection and state
-            # snapshots; run.messages is the chat-token projection.
-            if event.get("role") == "tool":
-                self._ignored_runs.add(run_id)
-                return
            message_id = event.get("message_id")
            stream = self._make_stream(
                namespace=[],
@@ -312,9 +304,6 @@ class MessagesTransformer(StreamTransformer):
            self._by_run[run_id] = stream
            self._log.push(stream)
            stream.dispatch(event)
-        elif run_id in self._ignored_runs:
-            if event_type == "message-finish":
-                self._ignored_runs.discard(run_id)
        elif run_id in self._by_run:
            stream = self._by_run[run_id]
            stream.dispatch(event)
@@ -330,21 +319,39 @@ class MessagesTransformer(StreamTransformer):
    def finalize(self) -> None:
        """Clear any routing state — streams close themselves via `message-finish`."""
        self._by_run.clear()
-        self._ignored_runs.clear()

    def fail(self, err: BaseException) -> None:
        """Propagate run error to any streams still open when the graph fails."""
        for stream in list(self._by_run.values()):
            stream.fail(err)
        self._by_run.clear()
-        self._ignored_runs.clear()


-SubgraphStatus = Literal["started", "completed", "failed", "interrupted", "drained"]
+LifecycleEvent = Literal["started", "completed", "failed", "interrupted", "drained"]
+"""State transition surfaced on the `lifecycle` channel for a tracked subgraph.
+
+Each value:
+
+- `started` — first `tasks` event observed at the tracked namespace. Carries
+  `graph_name` / `parent_task_id` / optional `metadata` describing what spawned
+  the subgraph.
+- `completed` — the dispatching task's `TaskResultPayload` arrived with neither
+  error nor interrupts. Also emitted by `finalize` for any tracked namespace
+  still open at run end.
+- `failed` — the dispatching task's result carried an `error`, OR the run
+  failed at top level with a non-interrupt / non-drain exception. Carries
+  `error` (string).
+- `interrupted` — the dispatching task's result carried `interrupts` (takes
+  precedence over `error` if both present), OR the run failed with
+  `GraphInterrupt`.
+- `drained` — the run was cooperatively stopped at a superstep boundary via
+  `RunControl.request_drain()` (e.g. SIGTERM). The checkpoint is saved and
+  the run is resumable.
+"""


 def _parse_ns_segment(segment: str) -> tuple[str, str | None]:
-    """Split a namespace segment into `(graph_name, trigger_call_id)`.
+    """Split a namespace segment into `(graph_name, parent_task_id)`.

    Segments are formatted `node_name:task_id` by `prepare_next_tasks`.
    Returns `(segment, None)` if no `:` is present.
@@ -353,6 +360,36 @@ def _parse_ns_segment(segment: str) -> tuple[str, str | None]:
    return name, task_id if sep else None


+def _extract_dispatching_tool_call_id(payload: Any) -> str | None:
+    """Return the model-side `tool_call_id` from a per-call dispatched task's
+    `input`, or `None` if the payload doesn't match a recognised shape.
+
+    Two shapes are recognised; both are duck-typed so any tool runner
+    that mimics the layout participates without naming any specific
+    dispatcher's types:
+
+    1. Single-element list of tool-call dicts:
+       `[{"id": ..., "name": ..., "args": {...}}]`. The current public
+       shape — `langchain.agents.create_agent` Send-fans this out per
+       pending tool call.
+    2. Dict envelope wrapping a tool call:
+       `{"tool_call": {"id": ..., "args": {...}, ...}, ...}`. Older
+       prebuilt agent paths Send-fan-out this shape.
+    """
+    if isinstance(payload, dict):
+        tool_call = payload.get("tool_call")
+        if not isinstance(tool_call, dict):
+            return None
+    elif (
+        isinstance(payload, list) and len(payload) == 1 and isinstance(payload[0], dict)
+    ):
+        tool_call = payload[0]
+    else:
+        return None
+    raw_id = tool_call.get("id")
+    return raw_id if isinstance(raw_id, str) else None
+
+
 class LifecyclePayload(TypedDict, total=False):
    """Payload of a lifecycle event surfaced on the `lifecycle` channel.

@@ -362,11 +399,54 @@ class LifecyclePayload(TypedDict, total=False):
    `run.lifecycle`.
    """

-    event: SubgraphStatus
+    event: LifecycleEvent
+    """State transition. See `LifecycleEvent` for per-value semantics."""
    namespace: list[str]
+    """Checkpoint namespace of the subgraph the event is about. Always present.
+
+    A list of `node_name:task_id` segments, one per nesting level (root has
+    `[]`, a direct child of root has `["agent:abc123"]`, a grandchild has
+    `["agent:abc123", "tool:def456"]`, etc.). Stable identity across the
+    `started → terminal` pair for the same subgraph instance.
+    """
    graph_name: NotRequired[str]
-    trigger_call_id: NotRequired[str]
+    """Name of the parent-scope node that dispatched this subgraph
+    (`add_node` name, surrounding tool's name for in-tool invokes,
+    `Send` target name, etc.) — parsed from the namespace tail
+    segment. Absent when the segment has no `:` separator.
+    """
+    parent_task_id: str
+    """Pregel task id of the dispatching task — the task whose execution
+    spawned this subgraph.
+
+    Always present on every event for the same subgraph instance. This is
+    the join key for correlating `started` ↔ terminal events and for
+    matching a `started` back to its `tasks` parent. Each Send produces
+    its own pregel task with its own id, so the join is 1:1 even when a
+    model dispatches multiple parallel tool calls in one turn.
+    """
+    metadata: NotRequired[dict[str, Any]]
+    """Optional generic descriptor of *what triggered* this subgraph.
+    Forwarded by protocol layers as the wire `lifecycle.started.metadata` field.
+
+    Shape:
+
+    - `{"type": "tool_call", "tool_call_id": "<id>"}` — set when the subgraph
+      was triggered by a per-call tool dispatch (a model tool call routed
+      through whatever tool node the agent uses). `tool_call_id` is the
+      model-side id of the originating tool call, exposed so UI consumers
+      can anchor the lifecycle event back to the AI message that dispatched
+      it. The langgraph layer deliberately doesn't mine `args` — those live
+      on the AIMessage's `tool_calls[i].args` already, and consumers that
+      want descriptive intent (subagent type, prompt text, etc.) look it
+      up there to keep one source of truth.
+
+    Absent for structurally-triggered subgraphs (parallel branches via
+    `Send` with non-tool-call payloads, nested `graph.invoke()`, etc.) and
+    for tool dispatches whose envelope carried no `id`.
+    """
    error: NotRequired[str]
+    """Error string. Set on `failed` events; absent otherwise."""


 class _TasksLifecycleBase(StreamTransformer):
@@ -384,13 +464,13 @@ class _TasksLifecycleBase(StreamTransformer):

    - `_should_track(ns)` — scope filter (e.g. multi-depth vs
      direct-children-only).
-    - `_on_started(ns, graph_name, trigger_call_id)` — first sighting
-      action (push payload / build handle / etc.). Called once per
-      discovered namespace.
-    - `_on_terminal(ns, status, error)` — terminal action (push
-      terminal payload / mark handle status). Called once per
-      tracked namespace at result time, or via `finalize` / `fail`
-      sweeps if no parent result arrived.
+    - `_on_started(ns, graph_name, parent_task_id, tool_call_id)` —
+      first sighting action (push payload / build handle / etc.).
+      Called once per discovered namespace.
+    - `_on_terminal(ns, status, error, parent_task_id)` — terminal
+      action (push terminal payload / mark handle status). Called
+      once per tracked namespace at result time, or via `finalize` /
+      `fail` sweeps if no parent result arrived.

    Tasks events are suppressed from the main event log (`process`
    returns False) — they're folded into whichever projection the
@@ -403,9 +483,15 @@ class _TasksLifecycleBase(StreamTransformer):
    def __init__(self, scope: tuple[str, ...] = ()) -> None:
        super().__init__(scope)
        self._seen: set[tuple[str, ...]] = set()
-        # Maps tracked namespace -> task_id of the parent task whose
+        # Maps tracked namespace -> task_id of the dispatching task whose
        # `TaskResultPayload` will close it.
        self._open: dict[tuple[str, ...], str] = {}
+        # Maps task_id -> model-side `tool_call_id` for tasks whose `input`
+        # matched a recognized per-call tool-dispatch shape. The lifecycle
+        # hook joins on this when a child subgraph fires its first task
+        # event so it can anchor the lifecycle.started to the originating
+        # AI message tool call.
+        self._dispatching_tool_call_id: dict[str, str] = {}

    # --- Template-method hooks (subclass overrides) ---

@@ -417,19 +503,33 @@ class _TasksLifecycleBase(StreamTransformer):
        self,
        ns: tuple[str, ...],
        graph_name: str | None,
-        trigger_call_id: str | None,
+        parent_task_id: str | None,
+        tool_call_id: str | None = None,
    ) -> None:
-        """Fired once per discovered namespace (first observed task event)."""
+        """Fired once per discovered namespace (first observed task event).
+
+        `tool_call_id` is the model-side id of the originating tool call
+        (from the per-call dispatched task's `input`). `None` for
+        structurally-triggered subgraphs or per-call envelopes that omitted
+        an `id`. Consumers join on `parent_task_id` (the pregel task id)
+        for identity; `tool_call_id` is purely an anchor back to the AI
+        message that dispatched the subgraph.
+        """
        raise NotImplementedError

    def _on_terminal(
        self,
        ns: tuple[str, ...],
-        status: SubgraphStatus,
+        status: LifecycleEvent,
        error: str | None,
+        parent_task_id: str,
    ) -> None:
-        """Fired once per tracked namespace when its parent's result arrives,
-        or via finalize/fail safety-net sweeps.
+        """Fired once per tracked namespace when its dispatching task's
+        result arrives, or via finalize/fail safety-net sweeps.
+
+        `parent_task_id` is the same id paired with the namespace at
+        `_on_started` time, so subscribers can correlate the terminal
+        event back to its `started`.
        """
        raise NotImplementedError

@@ -443,56 +543,96 @@ class _TasksLifecycleBase(StreamTransformer):
        if "result" in data:
            self._handle_task_result(ns, data)
        else:
-            self._handle_task_start(ns)
+            self._handle_task_start(ns, data)
        # Tasks events are folded into the synthesized projections;
        # suppress from the main event log so iterators don't double-see
        # the same information in two shapes.
        return False

-    def _handle_task_start(self, ns: tuple[str, ...]) -> None:
+    def _handle_task_start(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
+        # Mine input shape on every tasks event (not just tracked ones)
+        # so we capture dispatching tasks that themselves live outside the
+        # tracked region but whose `id` will appear as `parent_task_id`
+        # for a child subgraph.
+        self._record_dispatching_tool_call_id(data)
        if not self._should_track(ns) or ns in self._seen:
            return
        self._seen.add(ns)
-        graph_name, trigger_call_id = _parse_ns_segment(ns[-1])
-        self._on_started(ns, graph_name or None, trigger_call_id)
-        if trigger_call_id is not None:
-            self._open[ns] = trigger_call_id
+        graph_name, parent_task_id = _parse_ns_segment(ns[-1])
+        tool_call_id = (
+            self._dispatching_tool_call_id.pop(parent_task_id, None)
+            if parent_task_id is not None
+            else None
+        )
+        self._on_started(
+            ns,
+            graph_name or None,
+            parent_task_id,
+            tool_call_id,
+        )
+        if parent_task_id is not None:
+            self._open[ns] = parent_task_id
+
+    def _record_dispatching_tool_call_id(self, data: dict[str, Any]) -> None:
+        """Remember `task_id -> tool_call_id` if the task input matches
+        a recognized per-call tool-dispatch shape.
+
+        Shape detection and id extraction both live in
+        `_extract_dispatching_tool_call_id`; this method just records the
+        mapping under the dispatching task's own `id` so the lifecycle hook
+        can anchor a child subgraph back to the originating AI message
+        tool call when that subgraph's first task event arrives.
+        """
+        task_id = data.get("id")
+        if not isinstance(task_id, str):
+            return
+        tool_call_id = _extract_dispatching_tool_call_id(data.get("input"))
+        if tool_call_id is None:
+            return
+        self._dispatching_tool_call_id[task_id] = tool_call_id

    def _pop_terminal_transitions(
        self, ns: tuple[str, ...], data: dict[str, Any]
-    ) -> list[tuple[tuple[str, ...], SubgraphStatus, str | None]]:
-        """Return and remove tracked children closed by this task result."""
+    ) -> list[tuple[tuple[str, ...], LifecycleEvent, str | None, str]]:
+        """Return and remove tracked children closed by this task result.
+
+        Each tuple is `(child_ns, status, error, parent_task_id)`.
+        `parent_task_id` is the dispatching task's id — the same id
+        we'd already paired with the namespace at `_on_started`.
+        """
        result_id = data.get("id")
        if not result_id:
            return []
-        transitions: list[tuple[tuple[str, ...], SubgraphStatus, str | None]] = []
-        for child_ns, parent_task_id in list(self._open.items()):
-            if child_ns[:-1] != ns or parent_task_id != result_id:
+        transitions: list[tuple[tuple[str, ...], LifecycleEvent, str | None, str]] = []
+        for child_ns, dispatching_task_id in list(self._open.items()):
+            if child_ns[:-1] != ns or dispatching_task_id != result_id:
                continue
            status, error = _terminal_from_result(data)
-            transitions.append((child_ns, status, error))
+            transitions.append((child_ns, status, error, dispatching_task_id))
            del self._open[child_ns]
        return transitions

    def _handle_task_result(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
-        for child_ns, status, error in self._pop_terminal_transitions(ns, data):
-            self._on_terminal(child_ns, status, error)
+        for child_ns, status, error, parent_task_id in self._pop_terminal_transitions(
+            ns, data
+        ):
+            self._on_terminal(child_ns, status, error, parent_task_id)

    def finalize(self) -> None:
        """Emit `completed` for any tracked namespace still open at run end."""
-        for ns in list(self._open):
-            self._on_terminal(ns, "completed", None)
+        for ns, parent_task_id in list(self._open.items()):
+            self._on_terminal(ns, "completed", None, parent_task_id)
        self._open.clear()

    def fail(self, err: BaseException) -> None:
        """Emit terminal status for any tracked namespace still open."""
        status, error_str = _status_from_exception(err)
-        for ns in list(self._open):
-            self._on_terminal(ns, status, error_str)
+        for ns, parent_task_id in list(self._open.items()):
+            self._on_terminal(ns, status, error_str, parent_task_id)
        self._open.clear()


-def _status_from_exception(err: BaseException) -> tuple[SubgraphStatus, str | None]:
+def _status_from_exception(err: BaseException) -> tuple[LifecycleEvent, str | None]:
    """Map a run exception to a subgraph terminal status and error string."""
    if isinstance(err, GraphDrained):
        return "drained", None
@@ -503,7 +643,7 @@ def _status_from_exception(err: BaseException) -> tuple[SubgraphStatus, str | No

 def _terminal_from_result(
    payload: dict[str, Any],
-) -> tuple[SubgraphStatus, str | None]:
+) -> tuple[LifecycleEvent, str | None]:
    """Map a `TaskResultPayload` to a `(status, error)` pair.

    Order matters: a result with both `error` and `interrupts` prefers
@@ -552,26 +692,37 @@ class LifecycleTransformer(_TasksLifecycleBase):
        self,
        ns: tuple[str, ...],
        graph_name: str | None,
-        trigger_call_id: str | None,
+        parent_task_id: str | None,
+        tool_call_id: str | None = None,
    ) -> None:
-        if trigger_call_id is None:
-            # Without a task id we can't correlate a parent-result
+        if parent_task_id is None:
+            # Without a task id we can't correlate a dispatching-task-result
            # event back to this namespace — skip the started payload
            # and rely on finalize/fail to close.
            return
-        payload: LifecyclePayload = {"event": "started", "namespace": list(ns)}
+        payload: LifecyclePayload = {
+            "event": "started",
+            "namespace": list(ns),
+            "parent_task_id": parent_task_id,
+        }
        if graph_name:
            payload["graph_name"] = graph_name
-        payload["trigger_call_id"] = trigger_call_id
+        if tool_call_id is not None:
+            payload["metadata"] = {"type": "tool_call", "tool_call_id": tool_call_id}
        self._channel.push(payload)

    def _on_terminal(
        self,
        ns: tuple[str, ...],
-        status: SubgraphStatus,
+        status: LifecycleEvent,
        error: str | None,
+        parent_task_id: str,
    ) -> None:
-        payload: LifecyclePayload = {"event": status, "namespace": list(ns)}
+        payload: LifecyclePayload = {
+            "event": status,
+            "namespace": list(ns),
+            "parent_task_id": parent_task_id,
+        }
        if error is not None:
            payload["error"] = error
        self._channel.push(payload)
@@ -624,7 +775,8 @@ class SubgraphTransformer(_TasksLifecycleBase):
        self,
        ns: tuple[str, ...],
        graph_name: str | None,
-        trigger_call_id: str | None,
+        parent_task_id: str | None,
+        tool_call_id: str | None = None,  # noqa: ARG002
    ) -> None:
        if self._mux is None:
            return
@@ -637,7 +789,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
            mux=child_mux,
            path=ns,
            graph_name=graph_name,
-            trigger_call_id=trigger_call_id,
+            parent_task_id=parent_task_id,
        )
        self._handles[ns] = handle
        self._log.push(handle)
@@ -645,8 +797,9 @@ class SubgraphTransformer(_TasksLifecycleBase):
    def _on_terminal(
        self,
        ns: tuple[str, ...],
-        status: SubgraphStatus,
+        status: LifecycleEvent,
        error: str | None,
+        parent_task_id: str,  # noqa: ARG002
    ) -> None:
        handle = self._handles.get(ns)
        if handle is None or not self._mark_terminal(handle, status, error):
@@ -656,8 +809,9 @@ class SubgraphTransformer(_TasksLifecycleBase):
    async def _aon_terminal(
        self,
        ns: tuple[str, ...],
-        status: SubgraphStatus,
+        status: LifecycleEvent,
        error: str | None,
+        parent_task_id: str,  # noqa: ARG002
    ) -> None:
        handle = self._handles.get(ns)
        if handle is None or not self._mark_terminal(handle, status, error):
@@ -667,7 +821,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
    def _mark_terminal(
        self,
        handle: SubgraphRunStream | AsyncSubgraphRunStream,
-        status: SubgraphStatus,
+        status: LifecycleEvent,
        error: str | None,
    ) -> bool:
        """Mark a handle terminal once. Returns True on first transition."""
@@ -682,7 +836,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
    def _close_or_fail_handle(
        self,
        handle: SubgraphRunStream | AsyncSubgraphRunStream,
-        status: SubgraphStatus,
+        status: LifecycleEvent,
        error: str | None,
    ) -> None:
        if handle._mux is None or handle._mux._events._closed:
@@ -695,7 +849,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
    async def _aclose_or_fail_handle(
        self,
        handle: SubgraphRunStream | AsyncSubgraphRunStream,
-        status: SubgraphStatus,
+        status: LifecycleEvent,
        error: str | None,
    ) -> None:
        if handle._mux is None or handle._mux._events._closed:
@@ -734,10 +888,15 @@ class SubgraphTransformer(_TasksLifecycleBase):
            ns = tuple(event["params"]["namespace"])
            data = event["params"]["data"]
            if "result" in data:
-                for child_ns, status, error in self._pop_terminal_transitions(ns, data):
-                    await self._aon_terminal(child_ns, status, error)
+                for (
+                    child_ns,
+                    status,
+                    error,
+                    parent_task_id,
+                ) in self._pop_terminal_transitions(ns, data):
+                    await self._aon_terminal(child_ns, status, error, parent_task_id)
            else:
-                self._handle_task_start(ns)
+                self._handle_task_start(ns, data)
            keep = False
        else:
            keep = True
@@ -749,9 +908,9 @@ class SubgraphTransformer(_TasksLifecycleBase):

    def _complete_open_handles(self) -> BaseException | None:
        first_error: BaseException | None = None
-        for ns in list(self._open):
+        for ns, parent_task_id in list(self._open.items()):
            try:
-                self._on_terminal(ns, "completed", None)
+                self._on_terminal(ns, "completed", None, parent_task_id)
            except BaseException as e:
                if first_error is None:
                    first_error = e
@@ -767,9 +926,9 @@ class SubgraphTransformer(_TasksLifecycleBase):

    async def _acomplete_open_handles(self) -> BaseException | None:
        first_error: BaseException | None = None
-        for ns in list(self._open):
+        for ns, parent_task_id in list(self._open.items()):
            try:
-                await self._aon_terminal(ns, "completed", None)
+                await self._aon_terminal(ns, "completed", None, parent_task_id)
            except BaseException as e:
                if first_error is None:
                    first_error = e
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "1.2.2"
+version = "1.2.0a7"
 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>=1.4.0,<2",
-    "langgraph-checkpoint>=4.1.0,<5.0.0",
+    "langchain-core>=1.4.0a2,<2",
+    "langgraph-checkpoint>=4.1.0a4,<5.0.0",
    "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.1.0,<1.2.0",
+    "langgraph-prebuilt>=1.1.0a2,<1.2.0",
    "xxhash>=3.5.0",
    "pydantic>=2.7.4",
 ]
@@ -160,8 +160,8 @@ async def test_exit_resumed_run_sub_freq() -> None:


 async def test_exit_count_parity_sync_vs_exit() -> None:
-    """Sync and exit durability produce the same update count in
-    counters_since_delta_snapshot after an equivalent run."""
+    """Sync and exit durability produce the same delta_updates_since_snapshot
+    after an equivalent run."""
    for durability in ("sync", "exit"):
        saver = InMemorySaver()
        graph = _build_graph(saver)
@@ -175,13 +175,9 @@ async def test_exit_count_parity_sync_vs_exit() -> None:

        head = saver.get_tuple(config)
        assert head is not None
-        counters = head.metadata.get("counters_since_delta_snapshot", {})
-        updates, supersteps = counters.get("messages", (0, 0))
-        assert updates == 2, (
-            f"durability={durability}: expected updates=2, got {updates}"
-        )
-        assert supersteps >= 2, (
-            f"durability={durability}: expected supersteps>=2, got {supersteps}"
+        counts = head.metadata.get("delta_updates_since_snapshot", {})
+        assert counts.get("messages") == 2, (
+            f"durability={durability}: expected count=2, got {counts}"
        )


@@ -200,9 +196,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
    )
    head = saver.get_tuple(config)
    assert head is not None
-    counters1 = head.metadata.get("counters_since_delta_snapshot", {})
-    updates1 = counters1.get("messages", (0, 0))[0]
-    assert updates1 == 2
+    count1 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
+    assert count1 == 2

    graph.invoke(
        {"messages": [HumanMessage(content="m2", id="h2")]},
@@ -211,9 +206,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
    )
    head = saver.get_tuple(config)
    assert head is not None
-    counters2 = head.metadata.get("counters_since_delta_snapshot", {})
-    updates2 = counters2.get("messages", (0, 0))[0]
-    assert updates2 == 0, f"Expected reset to 0 after snapshot, got {updates2}"
+    count2 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
+    assert count2 == 0, f"Expected reset to 0 after snapshot, got {count2}"
    assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)


@@ -290,7 +284,7 @@ async def test_exit_multi_run_replay_chain() -> None:

 async def test_exit_metadata_round_trip() -> None:
    """K=5 consecutive exit runs with snapshot_frequency=5. Verify metadata
-    counters_since_delta_snapshot increments correctly across runs."""
+    delta_updates_since_snapshot increments correctly across runs."""
    freq = 5
    saver = InMemorySaver()
    graph = _build_graph(saver, freq=freq)
@@ -304,16 +298,15 @@ async def test_exit_metadata_round_trip() -> None:
        )
        head = saver.get_tuple(config)
        assert head is not None
-        counters = head.metadata.get("counters_since_delta_snapshot", {})
-        updates = counters.get("messages", (0, 0))[0]
+        count = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
        cumulative = i * 2
        if cumulative >= freq:
-            assert updates == 0 or updates == cumulative % freq or updates < freq, (
-                f"After run {i}: updates={updates} should have reset or be partial"
+            assert count == 0 or count == cumulative % freq or count < freq, (
+                f"After run {i}: count={count} should have reset or be partial"
            )
        else:
-            assert updates == cumulative, (
-                f"After run {i}: expected {cumulative}, got {updates}"
+            assert count == cumulative, (
+                f"After run {i}: expected {cumulative}, got {count}"
            )


@@ -1,140 +0,0 @@
-"""ensure_message_ids() assigns stable UUIDs to id=None BaseMessages
-before DeltaChannel writes are serialised to the checkpoint.
-
-Without this, the checkpoint stores id=None and every get_state() replay
-produces a different UUID — the same HumanMessage appears with a different
-ID in each LangSmith trace / on every resumed invocation.
-"""
-
-from __future__ import annotations
-
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.messages import AIMessage, AnyMessage, HumanMessage
-from langgraph.checkpoint.memory import InMemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, START, StateGraph
-
-pytestmark = pytest.mark.anyio
-
-
-def _append_reducer(
-    state: list[AnyMessage], writes: list[list[AnyMessage]]
-) -> list[AnyMessage]:
-    """Simple append — no ID assignment. IDs come from ensure_message_ids()."""
-    result = list(state)
-    for w in writes:
-        if isinstance(w, list):
-            result.extend(w)
-        else:
-            result.append(w)  # type: ignore[arg-type]
-    return result
-
-
-def _build_graph(checkpointer: Any) -> Any:
-    State = TypedDict(  # noqa: UP013
-        "State",
-        {
-            "messages": Annotated[
-                list, DeltaChannel(_append_reducer, snapshot_frequency=50)
-            ]
-        },
-    )  # type: ignore[call-overload]
-
-    def agent(state: dict) -> dict:
-        return {"messages": [AIMessage(content="reply", id="ai-1")]}
-
-    return (
-        StateGraph(State)
-        .add_node("agent", agent)
-        .add_edge(START, "agent")
-        .add_edge("agent", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def test_delta_channel_message_gets_id_and_stays_stable() -> None:
-    """Messages written with id=None must receive a stable UUID.
-
-    ensure_message_ids() is called in put_writes() before the background
-    thread serialises DeltaChannel writes. The checkpoint stores the
-    assigned UUID, so every get_state() replay sees the same ID.
-    """
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "id-stability"}}
-
-    graph.invoke({"messages": [HumanMessage(content="hello")]}, config)
-
-    ids = [
-        next(
-            m.id
-            for m in graph.get_state(config).values["messages"]
-            if isinstance(m, HumanMessage)
-        )
-        for _ in range(3)
-    ]
-
-    assert ids[0] is not None, "ensure_message_ids should have assigned a UUID"
-    assert len(set(ids)) == 1, (
-        f"HumanMessage id must be stable across get_state() calls; "
-        f"got {ids}. The checkpoint is storing id=None."
-    )
-
-
-async def test_delta_channel_message_gets_id_and_stays_stable_async() -> None:
-    """Same check via ainvoke (AsyncPregelLoop path)."""
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "id-stability-async"}}
-
-    await graph.ainvoke({"messages": [HumanMessage(content="hello")]}, config)
-
-    ids = [
-        next(
-            m.id
-            for m in (await graph.aget_state(config)).values["messages"]
-            if isinstance(m, HumanMessage)
-        )
-        for _ in range(3)
-    ]
-
-    assert ids[0] is not None, "ensure_message_ids should have assigned a UUID"
-    assert len(set(ids)) == 1, (
-        f"Async path: HumanMessage id unstable across aget_state() calls: {ids}"
-    )
-
-
-def test_delta_channel_dict_style_message_gets_stable_id() -> None:
-    """Dict-style inputs (API / over-the-wire format) must also get stable IDs.
-
-    When the graph is invoked via the LangGraph API the input arrives as a raw
-    dict {"role": "user", "content": "..."} rather than a BaseMessage object.
-    ensure_message_ids() must coerce those dicts to typed BaseMessages and
-    stamp a UUID so the checkpoint never stores an id-less message.
-    """
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "dict-id-stability"}}
-
-    # Invoke with a raw dict (the format LangGraph API sends)
-    graph.invoke({"messages": [{"role": "user", "content": "hello"}]}, config)
-
-    ids = [
-        next(
-            m.id
-            for m in graph.get_state(config).values["messages"]
-            if isinstance(m, HumanMessage)
-        )
-        for _ in range(3)
-    ]
-
-    assert ids[0] is not None, (
-        "dict-style message should have been coerced and assigned a UUID"
-    )
-    assert len(set(ids)) == 1, (
-        f"dict-style HumanMessage id must be stable across get_state() calls; got {ids}"
-    )
@@ -1,195 +0,0 @@
-"""Tests for the supersteps-since-last-snapshot bound on DeltaChannel.
-
-Validates that a delta channel which stops receiving writes is still
-force-snapshotted after DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT supersteps,
-preventing unbounded ancestor walks.
-"""
-
-from typing import Annotated, Any
-from unittest.mock import patch
-
-import pytest
-from langgraph.checkpoint.memory import InMemorySaver
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
-from typing_extensions import TypedDict
-
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, START, StateGraph
-from langgraph.pregel._checkpoint import delta_channels_to_snapshot
-
-pytestmark = pytest.mark.anyio
-
-
-def _simple_reducer(current: list, updates: list) -> list:
-    """Flatten updates into current list (each update is itself a list)."""
-    result = list(current)
-    for u in updates:
-        if isinstance(u, list):
-            result.extend(u)
-        else:
-            result.append(u)
-    return result
-
-
-def _build_two_channel_graph(
-    checkpointer: InMemorySaver,
-    *,
-    freq_a: int = 10_000,
-    freq_b: int = 10_000,
-    n_loops: int = 1,
-) -> Any:
-    """Graph with two delta channels A and B.
-
-    The node only writes to channel A; B is never written by the node.
-    `n_loops` controls how many supersteps the graph runs (via chained nodes).
-    """
-    ch_a = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_a)
-    ch_b = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_b)
-    State = TypedDict(  # noqa: UP013
-        "State",
-        {"a": Annotated[list, ch_a], "b": Annotated[list, ch_b]},
-    )  # type: ignore[call-overload]
-
-    builder = StateGraph(State)
-
-    for i in range(n_loops):
-        name = f"step_{i}"
-
-        def node_fn(state: dict, _i: int = i) -> dict:
-            return {"a": [f"a-val-{_i}"]}
-
-        builder.add_node(name, node_fn)
-        if i == 0:
-            builder.add_edge(START, name)
-        else:
-            builder.add_edge(f"step_{i - 1}", name)
-        if i == n_loops - 1:
-            builder.add_edge(name, END)
-
-    return builder.compile(checkpointer=checkpointer)
-
-
-async def test_forced_snapshot_single_run() -> None:
-    """A single invoke with enough supersteps triggers snapshot on the
-    unwritten channel B via the supersteps bound."""
-    max_ss = 3
-    with patch(
-        "langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
-        max_ss,
-    ):
-        saver = InMemorySaver()
-        graph = _build_two_channel_graph(saver, n_loops=4)
-        config = {"configurable": {"thread_id": "single-run-ss"}}
-
-        graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
-
-        head = saver.get_tuple(config)
-        assert head is not None
-        assert isinstance(head.checkpoint["channel_values"].get("b"), _DeltaSnapshot), (
-            "Channel B should have been force-snapshotted via supersteps bound"
-        )
-
-        state = graph.get_state(config)
-        assert state.values["b"] == ["seed-b"]
-        assert "seed-a" in state.values["a"]
-
-
-async def test_forced_snapshot_accumulates_across_runs() -> None:
-    """Supersteps counter for an unwritten channel persists across separate
-    invoke() calls. After enough runs, the channel is force-snapshotted."""
-    max_ss = 5
-    with patch(
-        "langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
-        max_ss,
-    ):
-        saver = InMemorySaver()
-        graph = _build_two_channel_graph(saver, n_loops=1)
-        config = {"configurable": {"thread_id": "multi-run-ss"}}
-
-        graph.invoke({"a": ["init-a"], "b": ["init-b"]}, config)
-
-        for i in range(1, 6):
-            graph.invoke({"a": [f"run-{i}"]}, config)
-
-            head = saver.get_tuple(config)
-            assert head is not None
-            counters = head.metadata.get("counters_since_delta_snapshot", {})
-            b_counters = counters.get("b", (0, 0))
-
-            if b_counters == (0, 0):
-                assert isinstance(
-                    head.checkpoint["channel_values"].get("b"), _DeltaSnapshot
-                ), f"Run {i}: counter reset but no snapshot blob for B"
-                break
-        else:
-            pytest.fail("Channel B was never force-snapshotted after multiple runs")
-
-        state = graph.get_state(config)
-        assert state.values["b"] == ["init-b"]
-        assert "init-a" in state.values["a"]
-
-
-async def test_predicate_fires_on_supersteps_overflow() -> None:
-    """Unit test: delta_channels_to_snapshot fires when supersteps >= MAX
-    even when updates == 0."""
-    ch = DeltaChannel(_simple_reducer, list, snapshot_frequency=10_000)
-    ch.key = "x"
-    ch_instance = ch.from_checkpoint(None)
-
-    channels = {"x": ch_instance}
-    counters: dict[str, tuple[int, int]] = {"x": (0, 5000)}
-
-    result = delta_channels_to_snapshot(channels, counters)
-    assert "x" in result
-
-    counters_below: dict[str, tuple[int, int]] = {"x": (0, 4999)}
-    result2 = delta_channels_to_snapshot(channels, counters_below)
-    assert "x" not in result2
-
-
-async def test_counter_reset_after_supersteps_snapshot() -> None:
-    """After the supersteps bound triggers a snapshot, the counters for
-    that channel reset. Verify by using a bound higher than one run's
-    supersteps so we can see the counter in an intermediate state."""
-    max_ss = 15
-    with patch(
-        "langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
-        max_ss,
-    ):
-        saver = InMemorySaver()
-        graph = _build_two_channel_graph(saver, n_loops=4)
-        config = {"configurable": {"thread_id": "counter-reset"}}
-
-        graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
-
-        head = saver.get_tuple(config)
-        assert head is not None
-        counters = head.metadata.get("counters_since_delta_snapshot", {})
-        b_counters = counters.get("b", (0, 0))
-        run1_supersteps = b_counters[1]
-        assert run1_supersteps > 0, "Should have some supersteps"
-        assert b_counters[0] == 1, "B written once (input step)"
-
-        graph.invoke({"a": ["more-a"]}, config)
-        head2 = saver.get_tuple(config)
-        assert head2 is not None
-        counters2 = head2.metadata.get("counters_since_delta_snapshot", {})
-        b_counters2 = counters2.get("b", (0, 0))
-        run2_supersteps = b_counters2[1]
-        assert run2_supersteps > run1_supersteps, "Supersteps should accumulate"
-        assert b_counters2[0] == 1, "B written once total (only original input)"
-
-        graph.invoke({"a": ["even-more"]}, config)
-        head3 = saver.get_tuple(config)
-        assert head3 is not None
-        assert isinstance(
-            head3.checkpoint["channel_values"].get("b"), _DeltaSnapshot
-        ), "B should have snapshotted at supersteps >= max_ss"
-        counters3 = head3.metadata.get("counters_since_delta_snapshot", {})
-        b_counters3 = counters3.get("b", (0, 0))
-        assert b_counters3[1] < max_ss, (
-            f"After snapshot, supersteps should have reset, got {b_counters3}"
-        )
-
-        state = graph.get_state(config)
-        assert state.values["b"] == ["seed-b"]
@@ -15,7 +15,7 @@ from langchain_core.callbacks import AsyncCallbackManagerForLLMRun, BaseCallback
 from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
 from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, HumanMessage
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
-from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnableParallel
+from langchain_core.runnables import RunnableLambda, RunnableParallel
 from langgraph.checkpoint.memory import InMemorySaver, MemorySaver
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
 from typing_extensions import TypedDict
@@ -2280,525 +2280,3 @@ def test_node_without_error_handler_still_fails_run():

    with pytest.raises(ValueError, match="no handler"):
        graph.invoke({"foo": ""})
-
-
-# ---------------------------------------------------------------------------
-# set_node_defaults()
-# ---------------------------------------------------------------------------
-
-
-def test_set_node_defaults_error_handler_catches_all_nodes():
-    class State(TypedDict):
-        route: str
-        foo: Annotated[list[str], operator.add]
-
-    def route_node(state: State) -> Command:
-        return Command(goto=state["route"])
-
-    def fail_a(state: State) -> State:
-        raise RuntimeError("a failed")
-
-    def fail_b(state: State) -> State:
-        raise RuntimeError("b failed")
-
-    captured: dict[str, list[str]] = {"nodes": []}
-
-    def default_handler(state: State, error: NodeError) -> State:
-        captured["nodes"].append(error.node)
-        return {"foo": [f"handled_{error.node}"]}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("route_node", route_node)
-        .add_node("fail_a", fail_a)
-        .add_node("fail_b", fail_b)
-        .add_edge(START, "route_node")
-        .add_conditional_edges(
-            "route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
-        )
-        .compile()
-    )
-
-    result_a = graph.invoke({"route": "fail_a", "foo": []})
-    result_b = graph.invoke({"route": "fail_b", "foo": []})
-    assert result_a["foo"] == ["handled_fail_a"]
-    assert result_b["foo"] == ["handled_fail_b"]
-    assert "fail_a" in captured["nodes"]
-    assert "fail_b" in captured["nodes"]
-
-
-def test_set_node_defaults_error_handler_overridden_by_node_handler():
-    class State(TypedDict):
-        route: str
-        foo: Annotated[list[str], operator.add]
-
-    def route_node(state: State) -> Command:
-        return Command(goto=state["route"])
-
-    def fail_a(state: State) -> State:
-        raise RuntimeError("a failed")
-
-    def fail_b(state: State) -> State:
-        raise RuntimeError("b failed")
-
-    captured: dict[str, list[str]] = {"handler": []}
-
-    def node_handler(state: State, error: NodeError) -> State:
-        captured["handler"].append(f"node:{error.node}")
-        return {"foo": [f"node_handled_{error.node}"]}
-
-    def default_handler(state: State, error: NodeError) -> State:
-        captured["handler"].append(f"default:{error.node}")
-        return {"foo": [f"default_handled_{error.node}"]}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("route_node", route_node)
-        .add_node("fail_a", fail_a, error_handler=node_handler)
-        .add_node("fail_b", fail_b)
-        .add_edge(START, "route_node")
-        .add_conditional_edges(
-            "route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
-        )
-        .compile()
-    )
-
-    result_a = graph.invoke({"route": "fail_a", "foo": []})
-    assert result_a["foo"] == ["node_handled_fail_a"]
-    assert "node:fail_a" in captured["handler"]
-    assert "default:fail_a" not in captured["handler"]
-
-    result_b = graph.invoke({"route": "fail_b", "foo": []})
-    assert result_b["foo"] == ["default_handled_fail_b"]
-    assert "default:fail_b" in captured["handler"]
-
-
-def test_set_node_defaults_error_handler_skips_per_node_handler_nodes():
-    """If a per-node error handler itself raises, the default handler must NOT
-    catch it -- the run should fail."""
-
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("node boom")
-
-    def broken_handler(state: State, error: NodeError) -> State:
-        raise RuntimeError("handler boom")
-
-    def default_handler(state: State, error: NodeError) -> State:
-        return {"foo": "default recovered"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("always_failing", always_failing, error_handler=broken_handler)
-        .add_edge(START, "always_failing")
-        .compile()
-    )
-
-    with pytest.raises(RuntimeError, match="handler boom"):
-        graph.invoke({"foo": ""})
-
-
-def test_set_node_defaults_error_handler_failure_fails_run():
-    """When the default handler itself raises, the run fails (no infinite
-    recursion, no double-routing)."""
-
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("node boom")
-
-    def broken_default_handler(state: State, error: NodeError) -> State:
-        raise RuntimeError("default handler boom")
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=broken_default_handler)
-        .add_node("always_failing", always_failing)
-        .add_edge(START, "always_failing")
-        .compile()
-    )
-
-    with pytest.raises(RuntimeError, match="default handler boom"):
-        graph.invoke({"foo": ""})
-
-
-def test_set_node_defaults_error_handler_receives_runnable_config():
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("boom")
-
-    captured: dict[str, Any] = {}
-
-    def default_handler(
-        state: State, error: NodeError, config: RunnableConfig
-    ) -> State:
-        captured["thread_id"] = config["configurable"].get("thread_id")
-        return {"foo": "handled"}
-
-    checkpointer = MemorySaver()
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("always_failing", always_failing)
-        .add_edge(START, "always_failing")
-        .compile(checkpointer=checkpointer)
-    )
-
-    thread_id = str(uuid4())
-    result = graph.invoke(
-        {"foo": ""}, config={"configurable": {"thread_id": thread_id}}
-    )
-    assert result["foo"] == "handled"
-    assert captured["thread_id"] == thread_id
-
-
-def test_set_node_defaults_error_handler_collides_with_user_node():
-    class State(TypedDict):
-        foo: str
-
-    def default_handler(state: State, error: NodeError) -> State:
-        return {"foo": "handled"}
-
-    builder = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("__default_error_handler__", lambda s: s)
-        .add_edge(START, "__default_error_handler__")
-    )
-
-    with pytest.raises(ValueError, match="__default_error_handler__"):
-        builder.compile()
-
-
-def test_set_node_defaults_retry_policy():
-    class State(TypedDict):
-        foo: str
-
-    attempts = 0
-
-    def flaky_node(state: State) -> State:
-        nonlocal attempts
-        attempts += 1
-        if attempts < 3:
-            raise ValueError("not yet")
-        return {"foo": "ok"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=3, initial_interval=0.01, jitter=False, retry_on=ValueError
-            )
-        )
-        .add_node("flaky", flaky_node)
-        .add_edge(START, "flaky")
-        .compile()
-    )
-
-    with patch("time.sleep"):
-        result = graph.invoke({"foo": ""})
-
-    assert result["foo"] == "ok"
-    assert attempts == 3
-
-
-def test_set_node_defaults_retry_policy_per_node_wins():
-    class State(TypedDict):
-        foo: str
-
-    attempts = 0
-
-    def flaky_node(state: State) -> State:
-        nonlocal attempts
-        attempts += 1
-        if attempts < 2:
-            raise ValueError("not yet")
-        return {"foo": "ok"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=1, initial_interval=0.01, jitter=False, retry_on=ValueError
-            )
-        )
-        .add_node(
-            "flaky",
-            flaky_node,
-            retry_policy=RetryPolicy(
-                max_attempts=3,
-                initial_interval=0.01,
-                jitter=False,
-                retry_on=ValueError,
-            ),
-        )
-        .add_edge(START, "flaky")
-        .compile()
-    )
-
-    with patch("time.sleep"):
-        result = graph.invoke({"foo": ""})
-
-    assert result["foo"] == "ok"
-    assert attempts == 2
-
-
-@pytest.mark.anyio
-async def test_set_node_defaults_timeout():
-    class State(TypedDict):
-        foo: str
-
-    async def slow_node(state: State) -> State:
-        await asyncio.sleep(10)
-        return {"foo": "should-not-happen"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.05))
-        .add_node("slow", slow_node)
-        .add_edge(START, "slow")
-        .compile()
-    )
-
-    from langgraph.errors import NodeTimeoutError
-
-    with pytest.raises(NodeTimeoutError):
-        await graph.ainvoke({"foo": ""})
-
-
-@pytest.mark.anyio
-async def test_set_node_defaults_timeout_per_node_wins():
-    """Per-node timeout overrides the default; a generous per-node timeout
-    allows a node to complete even when the builder default is very short."""
-
-    class State(TypedDict):
-        foo: str
-
-    async def quick_node(state: State) -> State:
-        await asyncio.sleep(0.05)
-        return {"foo": "done"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.01))
-        .add_node("quick", quick_node, timeout=TimeoutPolicy(run_timeout=5.0))
-        .add_edge(START, "quick")
-        .compile()
-    )
-
-    result = await graph.ainvoke({"foo": ""})
-    assert result["foo"] == "done"
-
-
-def test_set_node_defaults_chaining():
-    """set_node_defaults() is chainable and can be called in any order relative to add_node."""
-
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("boom")
-
-    def handler(state: State, error: NodeError) -> State:
-        return {"foo": "handled"}
-
-    graph = (
-        StateGraph(State)
-        .add_node("a", always_failing)
-        .add_edge(START, "a")
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=1, initial_interval=0.01, jitter=False
-            ),
-            error_handler=handler,
-        )
-        .compile()
-    )
-
-    result = graph.invoke({"foo": ""})
-    assert result["foo"] == "handled"
-
-
-def test_set_node_defaults_combined_retry_and_error_handler():
-    """Retries are exhausted first, then the error handler runs."""
-
-    class State(TypedDict):
-        foo: str
-
-    attempts = 0
-    captured: dict[str, Any] = {}
-
-    def always_failing(state: State) -> State:
-        nonlocal attempts
-        attempts += 1
-        raise ValueError("Always fails")
-
-    def handler(state: State, error: NodeError) -> State:
-        captured["error"] = str(error.error)
-        return {"foo": "handled"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=2,
-                initial_interval=0.01,
-                jitter=False,
-                retry_on=ValueError,
-            ),
-            error_handler=handler,
-        )
-        .add_node("fail", always_failing)
-        .add_edge(START, "fail")
-        .compile()
-    )
-
-    with patch("time.sleep"):
-        result = graph.invoke({"foo": ""})
-
-    assert result["foo"] == "handled"
-    assert attempts == 2
-    assert captured["error"] == "Always fails"
-
-
-def test_error_handler_resumes_after_crash():
-    """If the error handler crashes, resuming should re-schedule the handler
-    (not re-execute the original failed node)."""
-
-    class State(TypedDict):
-        foo: str
-
-    call_count = {"node": 0, "handler": 0}
-    captured_errors: list[NodeError] = []
-
-    def failing_node(state: State) -> State:
-        call_count["node"] += 1
-        raise RuntimeError("boom")
-
-    handler_should_fail = [True]
-
-    def handler(state: State, error: NodeError) -> State:
-        call_count["handler"] += 1
-        captured_errors.append(error)
-        if handler_should_fail[0]:
-            raise RuntimeError("handler crash")
-        return {"foo": "recovered"}
-
-    checkpointer = MemorySaver()
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=handler)
-        .add_node("fail", failing_node)
-        .add_edge(START, "fail")
-        .compile(checkpointer=checkpointer)
-    )
-
-    config = {"configurable": {"thread_id": "t1"}}
-
-    # First invoke: node fails -> handler runs -> handler crashes -> run fails
-    with pytest.raises(RuntimeError, match="handler crash"):
-        graph.invoke({"foo": ""}, config)
-
-    assert call_count["node"] == 1
-    assert call_count["handler"] == 1
-    assert captured_errors[0].node == "fail"
-    assert isinstance(captured_errors[0].error, RuntimeError)
-    assert str(captured_errors[0].error) == "boom"
-
-    # Resume: handler should run again, NOT the original node
-    handler_should_fail[0] = False
-    result = graph.invoke(None, config)
-
-    assert result["foo"] == "recovered"
-    assert call_count["node"] == 1  # NOT re-executed
-    assert call_count["handler"] == 2  # ran again on resume
-    # on resume the error was round-tripped through the checkpointer, so it
-    # may be deserialized as a string representation rather than the original
-    # exception type — verify the node name and that the error content matches.
-    assert captured_errors[1].node == "fail"
-    assert "boom" in str(captured_errors[1].error)
-
-
-def test_error_handler_resumes_after_crash_multiple_nodes():
-    """When multiple nodes fail in the same superstep and all have error handlers:
-    - error handlers start running while other nodes may still be in-flight
-    - resuming re-schedules each handler (not re-executes the original nodes)
-    """
-
-    class State(TypedDict):
-        results: Annotated[list[str], operator.add]
-
-    call_count = {"a": 0, "b": 0, "handler_a": 0, "handler_b": 0}
-    handler_a_started = threading.Event()
-
-    def node_a(state: State) -> State:
-        call_count["a"] += 1
-        raise RuntimeError("a failed")
-
-    def node_b(state: State) -> State:
-        call_count["b"] += 1
-        # Block until handler_a has started — proves the error handler runs
-        # concurrently with in-flight nodes in the same superstep.
-        assert handler_a_started.wait(timeout=5), "handler_a never started"
-        raise RuntimeError("b failed")
-
-    handler_should_fail = [True]
-
-    def handler_a(state: State, error: NodeError) -> State:
-        call_count["handler_a"] += 1
-        assert error.node == "a"
-        assert "a failed" in str(error.error)
-        handler_a_started.set()
-        if handler_should_fail[0]:
-            raise RuntimeError("handler_a crash")
-        return {"results": [f"recovered_a:{error.node}"]}
-
-    def handler_b(state: State, error: NodeError) -> State:
-        call_count["handler_b"] += 1
-        assert error.node == "b"
-        assert "b failed" in str(error.error)
-        if handler_should_fail[0]:
-            raise RuntimeError("handler_b crash")
-        return {"results": [f"recovered_b:{error.node}"]}
-
-    checkpointer = MemorySaver()
-    graph = (
-        StateGraph(State)
-        .add_node("a", node_a, error_handler=handler_a)
-        .add_node("b", node_b, error_handler=handler_b)
-        .add_edge(START, "a")
-        .add_edge(START, "b")
-        .compile(checkpointer=checkpointer)
-    )
-
-    config = {"configurable": {"thread_id": "t1"}}
-
-    # First invoke: node_a fails immediately -> handler_a starts (sets event) ->
-    # node_b unblocks and fails -> handler_b starts -> both handlers crash
-    with pytest.raises(RuntimeError):
-        graph.invoke({"results": []}, config)
-
-    assert call_count["a"] == 1
-    assert call_count["b"] == 1
-    assert call_count["handler_a"] == 1
-    assert call_count["handler_b"] == 1
-
-    # Resume: both handlers should run again, NOT the original nodes
-    handler_should_fail[0] = False
-    handler_a_started.clear()
-    result = graph.invoke(None, config)
-
-    assert call_count["a"] == 1  # NOT re-executed
-    assert call_count["b"] == 1  # NOT re-executed
-    assert call_count["handler_a"] == 2  # ran again on resume
-    assert call_count["handler_b"] == 2  # ran again on resume
-    assert "recovered_a:a" in result["results"]
-    assert "recovered_b:b" in result["results"]
@@ -1,296 +0,0 @@
-"""Tests for `StreamTransformer.before_builtins` lane ordering.
-
-`before_builtins = True` transformers are registered ahead of the
-rest, preserving relative order within each lane. This lets
-content-mutating transformers run before built-ins like
-`MessagesTransformer` that eagerly snapshot text fields into their
-projections.
-"""
-
-from __future__ import annotations
-
-import time
-from typing import Any, ClassVar
-
-from langgraph.stream._mux import StreamMux
-from langgraph.stream._types import StreamTransformer
-from langgraph.stream.stream_channel import StreamChannel
-from langgraph.stream.transformers import (
-    LifecycleTransformer,
-    MessagesTransformer,
-    TasksTransformer,
-)
-
-TS = int(time.time() * 1000)
-
-
-def _messages_event(namespace: list[str], data: Any) -> dict[str, Any]:
-    return {
-        "type": "event",
-        "method": "messages",
-        "params": {"namespace": namespace, "timestamp": TS, "data": data},
-    }
-
-
-class _Tap(StreamTransformer):
-    """Records the order it observed each event."""
-
-    required_stream_modes: ClassVar[tuple[str, ...]] = ()
-
-    def __init__(self, scope: tuple[str, ...] = (), *, label: str = "tap") -> None:
-        super().__init__(scope)
-        self.label = label
-        self.log: list[str] = []
-        self._channel: StreamChannel[str] = StreamChannel()
-
-    def init(self) -> dict[str, Any]:
-        return {f"tap_{self.label}": self._channel}
-
-    def process(self, event: dict[str, Any]) -> bool:
-        self.log.append(self.label)
-        return True
-
-
-class _PreTap(_Tap):
-    before_builtins: ClassVar[bool] = True
-
-
-class _TextRedactor(StreamTransformer):
-    """Mutates `text-delta` events in place to a fixed redacted string."""
-
-    before_builtins: ClassVar[bool] = True
-    required_stream_modes: ClassVar[tuple[str, ...]] = ("messages",)
-
-    def __init__(self, scope: tuple[str, ...] = ()) -> None:
-        super().__init__(scope)
-        self._channel: StreamChannel[str] = StreamChannel()
-
-    def init(self) -> dict[str, Any]:
-        return {"redactor": self._channel}
-
-    def process(self, event: dict[str, Any]) -> bool:
-        if event.get("method") != "messages":
-            return True
-        payload, _meta = event["params"]["data"]
-        if isinstance(payload, dict) and payload.get("event") == "content-block-delta":
-            delta = payload.get("delta") or {}
-            if delta.get("type") == "text-delta":
-                delta["text"] = "[REDACTED]"
-        return True
-
-
-def test_before_builtins_factories_run_before_others() -> None:
-    """A `before_builtins=True` factory is registered ahead of the rest."""
-
-    seen: list[type[StreamTransformer]] = []
-
-    class _PostTap(_Tap):
-        def __init__(self, scope: tuple[str, ...] = ()) -> None:
-            super().__init__(scope, label="post")
-
-        def process(self, event: dict[str, Any]) -> bool:
-            seen.append(_PostTap)
-            return True
-
-    class _EagerTap(_Tap):
-        before_builtins: ClassVar[bool] = True
-
-        def __init__(self, scope: tuple[str, ...] = ()) -> None:
-            super().__init__(scope, label="eager")
-
-        def process(self, event: dict[str, Any]) -> bool:
-            seen.append(_EagerTap)
-            return True
-
-    mux = StreamMux(
-        factories=[_PostTap, _EagerTap],
-        scope=(),
-        is_async=False,
-    )
-    # `_EagerTap` was supplied second but should be registered first.
-    types_in_order = [type(t) for t in mux._transformers]
-    assert types_in_order.index(_EagerTap) < types_in_order.index(_PostTap)
-
-    mux.push(
-        _messages_event([], ({"event": "message-start", "role": "ai", "id": "m1"}, {}))
-    )
-    # And it ran first when the event was dispatched.
-    assert seen == [_EagerTap, _PostTap]
-
-
-def test_within_lane_order_preserved() -> None:
-    """Within each lane, the supplied order is the registration order."""
-
-    class _A(_PreTap):
-        pass
-
-    class _B(_PreTap):
-        pass
-
-    class _C(_Tap):
-        pass
-
-    class _D(_Tap):
-        pass
-
-    mux = StreamMux(
-        factories=[
-            lambda scope: _C(scope, label="c"),
-            lambda scope: _A(scope, label="a"),
-            lambda scope: _D(scope, label="d"),
-            lambda scope: _B(scope, label="b"),
-        ],
-        scope=(),
-        is_async=False,
-    )
-    order = [t.label for t in mux._transformers]  # type: ignore[attr-defined]
-    # Pre lane (a, b) ahead of default lane (c, d). Within each, supplied order kept.
-    assert order == ["a", "b", "c", "d"]
-
-
-def test_redactor_runs_before_messages_transformer() -> None:
-    """Content mutated by a pre-lane transformer reaches `MessagesTransformer`."""
-
-    # Order supplied: built-ins first (as in pregel/main.py), then the
-    # opt-in pre-lane redactor. Partitioning should still register the
-    # redactor first.
-    mux = StreamMux(
-        factories=[MessagesTransformer, _TextRedactor],
-        scope=(),
-        is_async=False,
-    )
-    types_in_order = [type(t) for t in mux._transformers]
-    assert types_in_order.index(_TextRedactor) < types_in_order.index(
-        MessagesTransformer
-    )
-
-
-def test_lifecycle_unaffected_by_pre_lane_observer() -> None:
-    """An observer-only pre-lane transformer doesn't break lifecycle bookkeeping."""
-
-    class _NoopPreObserver(StreamTransformer):
-        before_builtins: ClassVar[bool] = True
-        required_stream_modes: ClassVar[tuple[str, ...]] = ("tasks",)
-
-        def __init__(self, scope: tuple[str, ...] = ()) -> None:
-            super().__init__(scope)
-            self._channel: StreamChannel[str] = StreamChannel()
-            self.seen: list[tuple[str, ...]] = []
-
-        def init(self) -> dict[str, Any]:
-            return {"noop_observer": self._channel}
-
-        def process(self, event: dict[str, Any]) -> bool:
-            if event.get("method") == "tasks":
-                self.seen.append(tuple(event["params"]["namespace"]))
-            return True
-
-    mux = StreamMux(
-        factories=[LifecycleTransformer, TasksTransformer, _NoopPreObserver],
-        scope=(),
-        is_async=False,
-    )
-    types_in_order = [type(t) for t in mux._transformers]
-    assert types_in_order.index(_NoopPreObserver) < types_in_order.index(
-        LifecycleTransformer
-    )
-
-    observer = next(t for t in mux._transformers if isinstance(t, _NoopPreObserver))
-    lifecycle = next(
-        t for t in mux._transformers if isinstance(t, LifecycleTransformer)
-    )
-
-    # Push a synthetic `tasks` event that lifecycle would normally track.
-    mux.push(
-        {
-            "type": "event",
-            "method": "tasks",
-            "params": {
-                "namespace": ["child:abc"],
-                "timestamp": TS,
-                "data": {"name": "child"},
-            },
-        }
-    )
-
-    # Pre-lane observer saw the event, AND lifecycle's bookkeeping still
-    # registered the new namespace (the observer didn't mutate anything).
-    assert observer.seen == [("child:abc",)]
-    assert ("child:abc",) in lifecycle._seen  # type: ignore[attr-defined]
-
-
-def test_default_is_false() -> None:
-    """`StreamTransformer.before_builtins` defaults to False."""
-
-    assert StreamTransformer.before_builtins is False
-    assert MessagesTransformer.before_builtins is False
-    assert LifecycleTransformer.before_builtins is False
-
-
-def test_pre_lane_mutation_lands_in_messages_projection() -> None:
-    """End-to-end: text mutated by a pre-lane transformer is what
-    `MessagesTransformer` snapshots into its `ChatModelStream` projection.
-
-    Without `before_builtins`, the redactor would run after
-    MessagesTransformer's eager extraction and the projection would
-    contain the raw, un-redacted text.
-    """
-
-    mux = StreamMux(
-        factories=[MessagesTransformer, _TextRedactor],
-        scope=(),
-        is_async=False,
-    )
-    messages_transformer = next(
-        t for t in mux._transformers if isinstance(t, MessagesTransformer)
-    )
-    # Unblock both the mux's main log and the messages projection log so
-    # synthetic pushes are accepted without a real consumer attached.
-    mux._events._subscribed = True
-    messages_transformer._log._subscribed = True
-
-    meta = {"langgraph_node": "model", "run_id": "run-1"}
-
-    # message-start → MessagesTransformer creates a ChatModelStream.
-    mux.push(
-        _messages_event(
-            [],
-            ({"event": "message-start", "role": "ai", "id": "msg-1"}, meta),
-        )
-    )
-
-    # content-block-delta carrying the secret. The redactor (pre-lane)
-    # mutates `delta.text` BEFORE MessagesTransformer snapshots it.
-    mux.push(
-        _messages_event(
-            [],
-            (
-                {
-                    "event": "content-block-delta",
-                    "index": 0,
-                    "delta": {"type": "text-delta", "text": "secret@example.com"},
-                },
-                meta,
-            ),
-        )
-    )
-
-    # Capture the still-open stream before message-finish removes it from
-    # MessagesTransformer's `_by_run` dict.
-    chat_stream = messages_transformer._by_run["run-1"]  # type: ignore[attr-defined]
-
-    # message-finish → closes the stream.
-    mux.push(
-        _messages_event(
-            [],
-            ({"event": "message-finish"}, meta),
-        )
-    )
-
-    # The redactor mutated `delta.text` to "[REDACTED]" before
-    # MessagesTransformer snapshotted the string into the text
-    # accumulator. Without `before_builtins`, the accumulator would hold
-    # the raw "secret@example.com".
-    assert chat_stream._text_acc == "[REDACTED]", (  # type: ignore[attr-defined]
-        f"expected redacted text in projection, got {chat_stream._text_acc!r}"
-    )
@@ -35,8 +35,16 @@ def _tasks_start(
    *,
    task_id: str,
    name: str,
+    input: Any = None,
 ) -> dict[str, Any]:
-    """Build a `tasks` ProtocolEvent carrying a TaskPayload (start)."""
+    """Build a `tasks` ProtocolEvent carrying a TaskPayload (start).
+
+    Pass `input=[{"id": ..., "name": ..., "args": {...}}]` (the per-call
+    list shape `langchain.agents.create_agent` Send-fans out) or
+    `input={"tool_call": {"id": ..., ...}, ...}` (the dict envelope older
+    prebuilt agent paths emit) to exercise the lifecycle transformer's
+    `tool_call_id` mining for `lifecycle.started.metadata`.
+    """
    return {
        "type": "event",
        "method": "tasks",
@@ -46,7 +54,7 @@ def _tasks_start(
            "data": {
                "id": task_id,
                "name": name,
-                "input": None,
+                "input": input,
                "triggers": [],
            },
        },
@@ -123,7 +131,220 @@ def test_started_emitted_on_first_direct_child_task() -> None:
    assert payload["event"] == "started"
    assert payload["namespace"] == ["agent:abc123"]
    assert payload["graph_name"] == "agent"
-    assert payload["trigger_call_id"] == "abc123"
+    assert payload["parent_task_id"] == "abc123"
+
+
+def test_started_carries_metadata_for_dict_envelope_input() -> None:
+    """When the dispatching task's `input` is a dict envelope with a
+    `tool_call` field (the shape older prebuilt agent paths Send-fan
+    out per call), the transformer mines `tool_call_id` from
+    `tool_call.id` and remembers it keyed by the dispatching task id.
+    When that task triggers a subgraph (the child's namespace ends in
+    `name:<dispatching_task_id>`), `lifecycle.started.metadata` carries
+    `{"type": "tool_call", "tool_call_id": ...}`. Identity correlation
+    still uses `parent_task_id`; `tool_call_id` is exposed so UI
+    consumers can anchor the lifecycle event back to the originating
+    AI message tool call. Args are deliberately NOT mined — they live
+    on the AIMessage and have a single source of truth there.
+    """
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="abc123",
+            name="tools",
+            input={
+                "tool_call": {
+                    "id": "call_xyz",
+                    "name": "task",
+                    "args": {"subagent_type": "researcher"},
+                }
+            },
+        )
+    )
+    mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
+
+    [payload] = _drain_lifecycle(mux)
+    assert payload["event"] == "started"
+    assert payload["parent_task_id"] == "abc123"
+    assert payload["metadata"] == {
+        "type": "tool_call",
+        "tool_call_id": "call_xyz",
+    }
+
+
+def test_started_carries_metadata_for_list_shape_per_call_input() -> None:
+    """`langchain.agents.create_agent` Send-fans out a per-call task
+    whose `input` is a single-element list of tool-call dicts:
+    `[{"id": ..., "name": ..., "args": {...}}]`. The transformer mines
+    `tool_call_id` exactly as for the dict envelope shape, so
+    `lifecycle.started.metadata` fires regardless of which agent factory
+    drove the dispatch.
+    """
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="abc123",
+            name="tools",
+            input=[
+                {
+                    "id": "tc-1",
+                    "name": "task",
+                    "args": {"subagent_type": "researcher"},
+                }
+            ],
+        )
+    )
+    mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
+
+    [payload] = _drain_lifecycle(mux)
+    assert payload["event"] == "started"
+    assert payload["parent_task_id"] == "abc123"
+    assert payload["metadata"] == {"type": "tool_call", "tool_call_id": "tc-1"}
+
+
+def test_started_carries_metadata_when_args_absent() -> None:
+    """`tool_call_id` is the only field metadata needs; the dispatching
+    envelope can omit `args` entirely (or have non-dict args) and we
+    still produce a metadata as long as `id` is a string."""
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="abc123",
+            name="tools",
+            input=[{"id": "tc-1", "name": "some_tool"}],
+        )
+    )
+    mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
+
+    [payload] = _drain_lifecycle(mux)
+    assert payload["metadata"] == {"type": "tool_call", "tool_call_id": "tc-1"}
+
+
+def test_list_shape_ignored_when_not_single_element() -> None:
+    """Only single-element lists are recognized as the per-call shape;
+    a 0- or 2+-element list is some other batched/multi-call payload
+    and must not be mined."""
+    # Two-element list — not the per-call shape.
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="abc123",
+            name="tools",
+            input=[
+                {"id": "tc-1", "name": "task"},
+                {"id": "tc-2", "name": "task"},
+            ],
+        )
+    )
+    mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="model"))
+
+    [payload] = _drain_lifecycle(mux)
+    assert "metadata" not in payload
+
+    # Empty list.
+    mux2 = _build_lifecycle_mux()
+    mux2.push(_tasks_start([], task_id="def456", name="tools", input=[]))
+    mux2.push(_tasks_start(["agent:def456"], task_id="t1", name="model"))
+    [payload2] = _drain_lifecycle(mux2)
+    assert "metadata" not in payload2
+
+
+def test_list_shape_robust_to_non_dict_or_missing_id() -> None:
+    """Duck-typing safety: a single-element list whose element isn't a
+    dict, or whose dict has no string `id`, must not raise — it just
+    leaves `metadata` absent."""
+    # Element is not a dict.
+    mux = _build_lifecycle_mux()
+    mux.push(_tasks_start([], task_id="t-a", name="tools", input=["not-a-dict"]))
+    mux.push(_tasks_start(["agent:t-a"], task_id="t1", name="model"))
+    [payload] = _drain_lifecycle(mux)
+    assert "metadata" not in payload
+
+    # Element has no `id`.
+    mux2 = _build_lifecycle_mux()
+    mux2.push(_tasks_start([], task_id="t-b", name="tools", input=[{"name": "task"}]))
+    mux2.push(_tasks_start(["agent:t-b"], task_id="t1", name="model"))
+    [payload2] = _drain_lifecycle(mux2)
+    assert "metadata" not in payload2
+
+    # Element's `id` is not a string.
+    mux3 = _build_lifecycle_mux()
+    mux3.push(_tasks_start([], task_id="t-c", name="tools", input=[{"id": 123}]))
+    mux3.push(_tasks_start(["agent:t-c"], task_id="t1", name="model"))
+    [payload3] = _drain_lifecycle(mux3)
+    assert "metadata" not in payload3
+
+
+def test_parallel_dispatches_attributed_to_correct_parent() -> None:
+    """Two dispatching task envelopes in the same model turn each fan
+    out to their own child subgraph; each child's `metadata.tool_call_id`
+    must reflect its own dispatching envelope, not the other.
+
+    Defends the `parent_task_id` (pregel task id) join: that id is
+    parsed from the child namespace segment and is unique per Send,
+    so it disambiguates parallel dispatches 1:1. Both children share
+    the same `subagent_type` (in args, not on metadata) — only the
+    pregel task id can tell them apart, so the `tool_call_id` must
+    follow the pregel id, not anything from `args`.
+    """
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="parent_A",
+            name="tools",
+            input={
+                "tool_call": {
+                    "id": "call_1",
+                    "name": "task",
+                    "args": {"subagent_type": "researcher"},
+                }
+            },
+        )
+    )
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="parent_B",
+            name="tools",
+            input={
+                "tool_call": {
+                    "id": "call_2",
+                    "name": "task",
+                    "args": {"subagent_type": "researcher"},
+                }
+            },
+        )
+    )
+    mux.push(_tasks_start(["agent:parent_A"], task_id="t1", name="model"))
+    mux.push(_tasks_start(["agent:parent_B"], task_id="t2", name="model"))
+
+    payloads = _drain_lifecycle(mux)
+    by_ns = {tuple(p["namespace"]): p for p in payloads}
+    assert by_ns[("agent:parent_A",)]["metadata"] == {
+        "type": "tool_call",
+        "tool_call_id": "call_1",
+    }
+    assert by_ns[("agent:parent_B",)]["metadata"] == {
+        "type": "tool_call",
+        "tool_call_id": "call_2",
+    }
+
+
+def test_started_omits_metadata_for_structurally_triggered_subgraph() -> None:
+    """Subgraphs triggered without a recognizable tool-call envelope on
+    the parent's input (Send with custom payloads, plain nested
+    `graph.invoke`, etc.) don't get a `metadata` field on
+    `lifecycle.started`."""
+    mux = _build_lifecycle_mux()
+    mux.push(_tasks_start(["agent:abc123"], task_id="t1", name="tool"))
+
+    [payload] = _drain_lifecycle(mux)
+    assert "metadata" not in payload


 def test_started_dedup_on_repeat_namespace() -> None:
@@ -188,8 +409,12 @@ def test_completed_on_parent_task_result() -> None:
    mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
    mux.push(_tasks_result([], task_id="abc", name="agent"))

-    events = [p["event"] for p in _drain_lifecycle(mux)]
-    assert events == ["started", "completed"]
+    payloads = _drain_lifecycle(mux)
+    assert [p["event"] for p in payloads] == ["started", "completed"]
+    # `parent_task_id` is required on every event for the same subgraph
+    # so consumers can correlate `started` ↔ terminal without joining
+    # via `namespace`.
+    assert all(p["parent_task_id"] == "abc" for p in payloads)


 def test_failed_on_parent_task_result_with_error() -> None:
@@ -265,6 +490,54 @@ def test_fail_emits_failed_for_other_exceptions() -> None:
    assert payloads[1]["error"] == "boom"


+def test_parent_task_id_present_on_every_terminal_path() -> None:
+    """Every exit path that emits a terminal event (parent-result with
+    error / interrupts, finalize sweep, fail sweep) must carry
+    `parent_task_id` so consumers can correlate the terminal event
+    back to its `started` without falling back to namespace joins."""
+    # Path 1: parent-result with error.
+    mux = _build_lifecycle_mux()
+    mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
+    mux.push(_tasks_result([], task_id="abc", name="agent", error="boom"))
+    [_, terminal] = _drain_lifecycle(mux)
+    assert terminal["event"] == "failed"
+    assert terminal["parent_task_id"] == "abc"
+
+    # Path 2: parent-result with interrupts.
+    mux2 = _build_lifecycle_mux()
+    mux2.push(_tasks_start(["agent:def"], task_id="t1", name="tool"))
+    mux2.push(
+        _tasks_result([], task_id="def", name="agent", interrupts=[{"value": "pause"}])
+    )
+    [_, terminal2] = _drain_lifecycle(mux2)
+    assert terminal2["event"] == "interrupted"
+    assert terminal2["parent_task_id"] == "def"
+
+    # Path 3: finalize sweep (no parent result arrived).
+    mux3 = _build_lifecycle_mux()
+    mux3.push(_tasks_start(["agent:ghi"], task_id="t1", name="tool"))
+    mux3.close()
+    [_, terminal3] = _drain_lifecycle(mux3)
+    assert terminal3["event"] == "completed"
+    assert terminal3["parent_task_id"] == "ghi"
+
+    # Path 4: fail sweep with GraphInterrupt.
+    mux4 = _build_lifecycle_mux()
+    mux4.push(_tasks_start(["agent:jkl"], task_id="t1", name="tool"))
+    mux4.fail(GraphInterrupt())
+    [_, terminal4] = _drain_lifecycle(mux4)
+    assert terminal4["event"] == "interrupted"
+    assert terminal4["parent_task_id"] == "jkl"
+
+    # Path 5: fail sweep with generic exception.
+    mux5 = _build_lifecycle_mux()
+    mux5.push(_tasks_start(["agent:mno"], task_id="t1", name="tool"))
+    mux5.fail(RuntimeError("kaboom"))
+    [_, terminal5] = _drain_lifecycle(mux5)
+    assert terminal5["event"] == "failed"
+    assert terminal5["parent_task_id"] == "mno"
+
+
 def test_unrelated_methods_pass_through() -> None:
    """Non-`tasks` events are not consumed and don't emit lifecycle."""
    mux = _build_lifecycle_mux()
@@ -12,7 +12,7 @@ from langchain_core.language_models.chat_model_stream import (
    AsyncChatModelStream,
    ChatModelStream,
 )
-from langchain_core.messages import AIMessage, AIMessageChunk, ToolMessage
+from langchain_core.messages import AIMessage, AIMessageChunk
 from langchain_core.runnables import RunnableConfig
 from typing_extensions import TypedDict

@@ -213,23 +213,6 @@ class TestProtocolEventRouting:
        log.close()
        assert _unstamped(log._items) == []

-    def test_tool_role_protocol_events_are_ignored(self) -> None:
-        t, log = _make_sync_transformer()
-        for evt in [
-            {"event": "message-start", "role": "tool", "message_id": "tool-msg-1"},
-            {
-                "event": "content-block-delta",
-                "index": 0,
-                "content_block": {"type": "text", "text": "[]"},
-            },
-            {"event": "message-finish", "reason": "stop"},
-        ]:
-            t.process(_proto_event(evt, run_id="tool-run"))
-
-        log.close()
-        assert _unstamped(log._items) == []
-        assert t._ignored_runs == set()
-
    def test_concurrent_streams_routed_by_run_id(self) -> None:
        t, log = _make_sync_transformer()
        life_a = _lifecycle(text="aaaa", message_id="run-a")
@@ -290,29 +273,6 @@ class TestWholeMessageFallback:
        assert stream.done
        assert stream.output.text == "the full answer"

-    def test_whole_tool_message_is_ignored(self) -> None:
-        t, log = _make_sync_transformer()
-        t.process(
-            {
-                "type": "event",
-                "method": "messages",
-                "params": {
-                    "namespace": [],
-                    "timestamp": TS,
-                    "data": (
-                        ToolMessage(
-                            content="[]",
-                            id="tool-msg-1",
-                            tool_call_id="call_1",
-                        ),
-                        {"langgraph_node": "tools"},
-                    ),
-                },
-            }
-        )
-        log.close()
-        assert _unstamped(log._items) == []
-
    def test_whole_message_has_full_lifecycle(self) -> None:
        t, log = _make_sync_transformer()
        t.process(_whole_msg("full"))
@@ -889,23 +849,6 @@ class TestStreamMessagesHandlerV2Unit:

        assert emitted == []

-    def test_on_chain_end_does_not_emit_tool_messages(self) -> None:
-        from uuid import uuid4
-
-        from langgraph.pregel._messages import StreamMessagesHandlerV2
-
-        emitted: list[Any] = []
-        handler = StreamMessagesHandlerV2(emitted.append, subgraphs=False)
-        run_id = uuid4()
-        handler.metadata[run_id] = ((), {"langgraph_node": "tools"})
-
-        handler.on_chain_end(
-            {"messages": [ToolMessage(content="[]", tool_call_id="call_1")]},
-            run_id=run_id,
-        )
-
-        assert emitted == []
-
    def test_on_llm_end_dedupes_when_final_message_id_differs(self) -> None:
        """A streamed v2 message should not be emitted again from the final
        AIMessage fallback when its final id does not match `message-start`."""
@@ -195,7 +195,7 @@ def test_handle_created_on_first_direct_child_task() -> None:
    [handle] = _drain_subgraphs(mux)
    assert handle.path == ("agent:abc",)
    assert handle.graph_name == "agent"
-    assert handle.trigger_call_id == "abc"
+    assert handle.parent_task_id == "abc"
    assert handle.status == "started"
    _child_mux(handle)  # mini-mux backed

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+version = "1.4.0a2"
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-version = "1.2.2"
+version = "1.2.0a7"
 source = { editable = "." }
 dependencies = [
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@@ -1454,7 +1454,7 @@ test = [

 [package.metadata]
 requires-dist = [
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+    { name = "langchain-core", specifier = ">=1.4.0a2,<2" },
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@@ -1563,7 +1563,7 @@ wheels = [

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+version = "4.1.0a4"
 source = { editable = "../checkpoint" }
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@@ -1611,7 +1611,7 @@ test = [

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-version = "3.1.0"
+version = "3.1.0a4"
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@@ -1658,7 +1658,7 @@ test = [

 [[package]]
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+version = "3.1.0a1"
 source = { editable = "../checkpoint-sqlite" }
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@@ -1721,7 +1721,7 @@ inmem = [
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-    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.10.0" },
+    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.9.0" },
    { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
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    { name = "pathspec", specifier = ">=0.11.0" },
@@ -1757,7 +1757,7 @@ test = [

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-version = "1.1.0"
+version = "1.1.0a2"
 source = { editable = "../prebuilt" }
 dependencies = [
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@@ -1828,19 +1828,13 @@ name = "langgraph-sdk"
 source = { editable = "../sdk-py" }
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-    { name = "langchain-core" },
-    { name = "langchain-protocol" },
    { name = "orjson" },
-    { name = "websockets" },
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 [package.optional-dependencies]
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-
 [[package]]
 name = "widgetsnbextension"
 version = "4.0.15"
@@ -5,42 +5,12 @@ from __future__ import annotations
 from collections.abc import Awaitable, Callable
 from typing import Any

-from langchain_core.messages import ToolMessage
 from langgraph.stream._types import ProtocolEvent, StreamTransformer
 from langgraph.stream.stream_channel import StreamChannel

 from langgraph.prebuilt._tool_call_stream import ToolCallStream


-def _is_serialized_tool_message(value: Any) -> bool:
-    """Detect a serialized LangChain `ToolMessage` payload.
-
-    Example:
-        {
-            "lc": 1,
-            "type": "constructor",
-            "id": ["langchain_core", "messages", "ToolMessage"],
-            "kwargs": {"content": "raw tool result", "tool_call_id": "call_1"},
-        }
-    """
-    return (
-        isinstance(value, dict)
-        and value.get("type") == "constructor"
-        and isinstance(value.get("id"), list)
-        and value["id"][-1] == "ToolMessage"
-    )
-
-
-def _normalize_tool_output(output: Any) -> Any:
-    if isinstance(output, ToolMessage):
-        return output.content
-    if _is_serialized_tool_message(output):
-        kwargs = output.get("kwargs")
-        if isinstance(kwargs, dict):
-            return kwargs.get("content")
-    return output
-
-
 class ToolCallTransformer(StreamTransformer):
    """Project `tools` channel events into `ToolCallStream` handles.

@@ -139,7 +109,7 @@ class ToolCallTransformer(StreamTransformer):
        elif event_type == "tool-finished":
            stream = self._active.pop(tool_call_id, None)
            if stream is not None:
-                stream._finish(_normalize_tool_output(data.get("output")))
+                stream._finish(data.get("output"))
        elif event_type == "tool-error":
            stream = self._active.pop(tool_call_id, None)
            if stream is not None:
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-prebuilt"
-version = "1.1.0"
+version = "1.1.0a2"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.10"
@@ -6,7 +6,7 @@ import time
 from typing import Annotated, Any

 import pytest
-from langchain_core.messages import AIMessage, ToolMessage
+from langchain_core.messages import AIMessage
 from langchain_core.tools import tool
 from langgraph.constants import END, START
 from langgraph.graph import StateGraph
@@ -128,42 +128,6 @@ class TestToolCallTransformerUnit:
        assert stream.error is None
        assert "tc1" not in transformer._active

-    def test_finish_unwraps_tool_message_output(self) -> None:
-        mux, transformer = _mux()
-        mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
-        stream = transformer._active["tc1"]
-        mux.push(
-            _tool_event(
-                "tool-finished",
-                "tc1",
-                output=ToolMessage(content="done", tool_call_id="tc1"),
-            )
-        )
-        assert stream.completed is True
-        assert stream.output == "done"
-
-    def test_finish_unwraps_serialized_tool_message_output(self) -> None:
-        mux, transformer = _mux()
-        mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
-        stream = transformer._active["tc1"]
-        mux.push(
-            _tool_event(
-                "tool-finished",
-                "tc1",
-                output={
-                    "lc": 1,
-                    "type": "constructor",
-                    "id": ["langchain_core", "messages", "ToolMessage"],
-                    "kwargs": {
-                        "content": "serialized done",
-                        "tool_call_id": "tc1",
-                    },
-                },
-            )
-        )
-        assert stream.completed is True
-        assert stream.output == "serialized done"
-
    def test_error_closes_stream(self) -> None:
        mux, transformer = _mux()
        mux.push(_tool_event("tool-started", "tc1", tool_name="boom"))
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+version = "1.2.0a7"
 source = { editable = "../langgraph" }
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@@ -298,7 +298,7 @@ dependencies = [

 [package.metadata]
 requires-dist = [
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+    { name = "langchain-core", specifier = ">=1.4.0a2,<2" },
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+version = "4.1.0a4"
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+version = "3.1.0a4"
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@@ -464,7 +464,7 @@ test = [

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@@ -507,7 +507,7 @@ test = [

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@@ -597,19 +597,13 @@ name = "langgraph-sdk"
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-
 [[package]]
 name = "xxhash"
 version = "3.6.0"
@@ -1,48 +0,0 @@
-# Changelog
-
-## Unreleased
-
-### Added
-
- **Thread-centric streaming (v3)** — `client.threads.stream()` returns an
-  `AsyncThreadStream` (or `SyncThreadStream`) context manager that owns one
-  SSE or WebSocket connection for the lifetime of a thread session.
-
- **Typed projections** — `thread.messages`, `thread.tool_calls`,
-  `thread.values`, and `thread.extensions[name]` all share the same underlying
-  transport connection. Iterating multiple projections concurrently expands the
-  server-side filter union without opening additional connections.
-
- **Scoped subgraph handles** — `thread.subgraphs` (alias `thread.subagents`)
-  yields one `ScopedStreamHandle` per direct child invocation, each exposing
-  `.messages`, `.tool_calls`, and `.subgraphs` scoped to that namespace.
-
- **WebSocket transport** — pass `transport="websocket"` to
-  `client.threads.stream()` to use a WebSocket connection instead of SSE
-  (async client only).
-
- **Automatic reconnect** — the shared SSE fan-out and the lifecycle watcher
-  both reconnect on transport drops, replaying missed events via a `since`
-  cursor and deduplicating by `event_id`.
-
- **`thread.agent.get_tree()`** — fetches the assistant graph definition for
-  the current session's `assistant_id` with optional `xray` depth control.
-
- **`thread.run.respond()`** — resumes a run after a server-side interrupt,
-  resolving the outstanding `InterruptPayload` by `interrupt_id`.
-
- **`thread.output`** — awaitable that resolves to the terminal thread state
-  `values` dict after the run lifecycle completes.
-
-### Changed
-
- `client.threads.stream()` now accepts `transport="sse"` (default) or
-  `transport="websocket"` in place of the previous transport-agnostic default.
-
-### Notes
-
- The v3 streaming surface (`AsyncThreadStream`, `SyncThreadStream`, and all
-  projection classes) is **new** in this release. The existing
-  `client.runs.stream()` (v2) surface is unchanged and remains fully supported.
- `thread_id` is minted client-side (UUIDv4) when not provided; the server
-  creates the thread row lazily on the first `run.start`.
@@ -1,118 +0,0 @@
-# Migration Guide: v2 → v3 Streaming
-
-`client.runs.stream()` (v2) remains fully supported. This guide covers how to
-adopt the new `client.threads.stream()` (v3) surface when you want typed
-projections, shared SSE fan-out, or WebSocket transport.
-
-## Minimal before/after
-
-**v2 — `client.runs.stream()`**
-
-```python
-from langgraph_sdk import get_client
-
-client = get_client()
-
-thread = await client.threads.create()
-async for chunk in client.runs.stream(
-    thread["thread_id"],
-    "agent",
-    input={"messages": [{"role": "user", "content": "hello"}]},
-    stream_mode="messages",
-):
-    print(chunk.event, chunk.data)
-```
-
-**v3 — `client.threads.stream()`**
-
-```python
-from langgraph_sdk import get_client
-import asyncio
-
-client = get_client()
-
-async with client.threads.stream(assistant_id="agent") as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "hello"}]})
-
-    async for stream in thread.messages:
-        print(await stream.text)
-```
-
-## Key differences
-
-| | v2 `client.runs.stream()` | v3 `client.threads.stream()` |
-|---|---|---|
-| Thread creation | Explicit `client.threads.create()` | Lazy (minted client-side if omitted) |
-| Connection per run | Yes | No — shared SSE for the session |
-| Typed projections | No (raw `StreamPart`) | Yes (`messages`, `tool_calls`, `values`, …) |
-| Subgraph streaming | Not supported | `thread.subgraphs` / `thread.subagents` |
-| WebSocket transport | No | Yes (`transport="websocket"`, async only) |
-| Interrupt handling | Manual polling | `thread.interrupted` / `thread.run.respond()` |
-| Terminal state | Included in stream | `await thread.output` |
-
-## Reattaching to an existing thread
-
-```python
-async with client.threads.stream(
-    thread_id="existing-thread-id",
-    assistant_id="agent",
-) as thread:
-    # If the run already completed, thread.output resolves immediately.
-    result = await thread.output
-```
-
-## Consuming multiple projections concurrently
-
-All projections share one SSE connection. Use `asyncio.gather` (or
-`asyncio.TaskGroup`) to start multiple consumers before any single projection
-has finished — the fan-out task routes events to all subscribers in parallel.
-
-```python
-async with client.threads.stream(assistant_id="agent") as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "hi"}]})
-
-    async def collect_messages():
-        return [s async for s in thread.messages]
-
-    async def collect_tool_calls():
-        return [c async for c in thread.tool_calls]
-
-    messages, tool_calls = await asyncio.gather(
-        collect_messages(),
-        collect_tool_calls(),
-    )
-```
-
-## Human-in-the-loop (interrupts)
-
-```python
-async with client.threads.stream(assistant_id="agent") as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "book a flight"}]})
-
-    # Wait for the run to pause at an interrupt node.
-    # thread.interrupted becomes True when input.requested arrives.
-    while not thread.interrupted:
-        await asyncio.sleep(0.1)
-
-    # Resume with a human response (unambiguous when only one interrupt is outstanding).
-    await thread.run.respond("yes, confirm booking")
-
-    result = await thread.output
-```
-
-## Sync client
-
-The sync client mirrors the async API without `async`/`await`:
-
-```python
-from langgraph_sdk import get_sync_client
-
-client = get_sync_client()
-
-with client.threads.stream(assistant_id="agent") as thread:
-    thread.run.start(input={"messages": [{"role": "user", "content": "hello"}]})
-    for stream in thread.messages:
-        print(stream.text)
-```
-
-The sync client uses SSE only (`transport="websocket"` is not supported).
@@ -33,43 +33,3 @@ input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
 async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
    print(chunk)
 ```
-
-## Known Limitations
-
- **WebSocket transport** requires `websockets>=14` and is only available on the async client (`AsyncThreadStream`). The sync client (`SyncThreadStream`) uses SSE exclusively.
- **`thread.extensions[name]`** opens a new subscription each time the same name is accessed. Assign the projection to a variable and reuse it within a single session rather than re-indexing across multiple iterations.
- **Sync streaming** drives the lifecycle watcher in a background thread. Long-lived sync sessions will hold that thread open until the context manager exits.
- **Reconnect attempts** are limited to 5 by default for both the shared SSE fan-out and the lifecycle watcher. Persistent network partitions will surface as `RuntimeError` on in-flight projections.
-
-## Thread-Centric Streaming (v3)
-
-`client.threads.stream()` returns a context manager that owns the SSE session for one
-thread. Typed projections — values snapshots, message streams, tool calls, custom
-events — all share the same underlying connection.
-
-```python
-from langgraph_sdk import get_client
-import asyncio
-
-client = get_client()
-
-async with client.threads.stream(
-    thread_id="my-thread",
-    assistant_id="agent",
-) as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "hi"}]})
-
-    # Start all consumers concurrently so they share one SSE connection.
-    async def get_messages():
-        return [s async for s in thread.messages]
-
-    async def get_tool_calls():
-        return [c async for c in thread.tool_calls]
-
-    messages, tool_calls = await asyncio.gather(get_messages(), get_tool_calls())
-
-    for stream in messages:
-        print(await stream.text)          # accumulated text
-
-    final = await thread.output           # terminal state values
-```
@@ -1,27 +0,0 @@
-# Thin layer on top of the latest published langgraph-api image.
-#
-# The base image bundles `langgraph_api`, `langgraph_runtime_postgres`,
-# `langgraph_license`, `langgraph_grpc_common`, the Go `core-api-grpc`
-# binary, and an entrypoint that starts both the gRPC server and uvicorn
-# (`/storage/entrypoint.sh`). It also ships langgraph + langchain-core.
-#
-# We track the `latest-py3.12` tag rather than pinning a specific revision
-# so CI surfaces upstream regressions early. If the base shifts under us,
-# `docker compose build` will pick up the new digest on the next run.
-#
-# The image is the `licensed` variant, so it requires either a real
-# `LANGSMITH_API_KEY` or a `LANGGRAPH_CLOUD_LICENSE_KEY` at runtime
-# (passed through from the host shell / CI secrets, see docker-compose.yml).
-
-FROM langchain/langgraph-api:latest-py3.12
-
-# Graph dependencies not in the base image. `deepagents` is required for
-# the deep_agent graph; the supervisor and researcher use a fake chat
-# model (no `langchain-anthropic`) so no LLM API key is needed.
-RUN pip install --no-cache-dir \
-    "langchain>=1.3.0" \
-    "deepagents>=0.6.2"
-
-# Project graphs + registration config.
-COPY graph/ /app/graph/
-COPY langgraph.json /app/langgraph.json
@@ -1,91 +0,0 @@
-name: langgraph-v3-integration
-
-services:
-  postgres:
-    image: pgvector/pgvector:pg16
-    environment:
-      POSTGRES_DB: postgres
-      POSTGRES_USER: postgres
-      POSTGRES_PASSWORD: postgres
-    command: ["postgres", "-c", "shared_preload_libraries=vector", "-c", "max_connections=150"]
-    ports:
-      - "5443:5432"
-    healthcheck:
-      test: pg_isready -U postgres
-      interval: 5s
-      timeout: 1s
-      retries: 5
-      start_period: 10s
-    tmpfs:
-      - /var/lib/postgresql/data
-
-  redis:
-    image: redis:7-alpine
-    command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
-    ports:
-      - "6380:6379"
-    healthcheck:
-      test: redis-cli ping
-      interval: 5s
-      timeout: 1s
-      retries: 5
-      start_period: 2s
-    tmpfs:
-      - /data
-
-  api:
-    # Thin layer on top of langchain/langgraph-api:latest-py3.12 —
-    # see ./Dockerfile. The base image bundles langgraph-api +
-    # langgraph_runtime_postgres + langgraph_license + the Go core-server,
-    # so we only add graph deps (deepagents) and the graph files on top.
-    build:
-      context: .
-      dockerfile: Dockerfile
-    image: langgraph-v3-integration-api:local
-    depends_on:
-      postgres:
-        condition: service_healthy
-      redis:
-        condition: service_healthy
-    environment:
-      # Database + cache (the production-shape postgres+redis runtime).
-      # Recent langgraph-api reads DATABASE_URI first and falls back to
-      # POSTGRES_URI; set both so older code paths also work.
-      DATABASE_URI: postgres://postgres:postgres@postgres:5432/postgres?sslmode=disable
-      POSTGRES_URI: postgres://postgres:postgres@postgres:5432/postgres?sslmode=disable
-      REDIS_URI: redis://redis:6379
-      LANGGRAPH_RUNTIME_EDITION: postgres
-
-      LANGGRAPH_AUTH_TYPE: noop
-      LANGSMITH_TRACING: "false"
-
-      PORT: "8000"
-
-      # Required for the v3 thread-centric streaming protocol. Without this
-      # flag the API falls back to the legacy v2 streaming surface and the
-      # client's v3 endpoints (POST /threads/{id}/stream/events, /commands,
-      # etc.) won't be exposed.
-      FF_OPTIMIZED_STREAMING: "true"
-
-      # Tell langgraph-api which graphs to register. The langgraph CLI sets
-      # this from langgraph.json; we're bypassing the CLI (running uvicorn
-      # directly) so we set it manually.
-      LANGSERVE_GRAPHS: '{"agent":"/app/graph/streaming_graph.py:graph","tools_agent":"/app/graph/tools_agent.py:graph","deep_agent":"/app/graph/deep_agent.py:graph"}'
-
-      # The published langgraph-api image is the `licensed` variant and
-      # requires a real LANGSMITH_API_KEY (or LANGGRAPH_CLOUD_LICENSE_KEY)
-      # at runtime. Passed through from the host shell / CI secrets.
-      LANGSMITH_API_KEY: ${LANGSMITH_API_KEY:-}
-      LANGGRAPH_CLOUD_LICENSE_KEY: ${LANGGRAPH_CLOUD_LICENSE_KEY:-}
-    # Mount the graph + config so edits don't require a rebuild.
-    volumes:
-      - ./graph:/app/graph:ro
-      - ./langgraph.json:/app/langgraph.json:ro
-    ports:
-      - "2024:8000"
-    healthcheck:
-      test: ["CMD-SHELL", "wget -q -O- http://localhost:8000/ok || exit 1"]
-      interval: 5s
-      timeout: 3s
-      retries: 30
-      start_period: 30s
@@ -1,6 +0,0 @@
-"""Example graphs for v3 streaming integration tests."""
-
-from .deep_agent import graph as deep_agent
-from .streaming_graph import graph as streaming_graph
-
-__all__ = ["deep_agent", "streaming_graph"]
@@ -1,96 +0,0 @@
-"""Deep-agent variant exercising v3 `thread.subgraphs` properly.
-
-`create_deep_agent` builds a graph whose `task` tool dispatches to one
-of its configured `SubAgent`s. When the supervisor's model issues a
-`task(subagent_type="researcher", description=...)` tool call, the
-sub-agent runs as a nested invocation and the v3 streaming server
-emits the subagent's lifecycle, messages, and tool events under a
-scoped namespace. That namespace is what `thread.subgraphs` surfaces
-as a direct-child `ScopedStreamHandle`.
-
-Both the supervisor and the researcher use `FakeMessagesListChatModel`
-with pre-scripted responses so this graph is hermetic. No LLM API keys
-are required, and the test is deterministic.
-"""
-
-from __future__ import annotations
-
-from typing import Any
-
-from deepagents import create_deep_agent
-from deepagents.middleware.subagents import SubAgent
-from langchain_core.language_models.fake_chat_models import FakeMessagesListChatModel
-from langchain_core.messages import AIMessage
-
-
-class _FakeChatModelWithTools(FakeMessagesListChatModel):
-    """`FakeMessagesListChatModel` that accepts `bind_tools(...)` as a no-op.
-
-    `create_deep_agent` calls `model.bind_tools(tools)` to expose the `task`
-    tool to the supervisor. The base `BaseChatModel.bind_tools` raises
-    `NotImplementedError`. Pre-baked responses in `responses` already carry
-    the desired `tool_calls`, so we ignore the tools list and return self.
-    """
-
-    def bind_tools(self, tools: Any, **kwargs: Any) -> _FakeChatModelWithTools:
-        return self
-
-
-# Supervisor turn 1: dispatch to the researcher via the `task` tool.
-# Supervisor turn 2: emit a final assistant message (no more tool calls),
-# which closes the agent loop.
-_supervisor_model = _FakeChatModelWithTools(
-    responses=[
-        AIMessage(
-            content="",
-            id="sup-1",
-            tool_calls=[
-                {
-                    "id": "tc-task-1",
-                    "name": "task",
-                    "args": {
-                        "subagent_type": "researcher",
-                        "description": "research v3 streaming",
-                    },
-                }
-            ],
-        ),
-        AIMessage(content="Research complete.", id="sup-2"),
-    ]
-)
-
-
-# Researcher turn 1: final message, no tool calls. Closes the subagent loop.
-_researcher_model = _FakeChatModelWithTools(
-    responses=[
-        AIMessage(
-            content="v3 streaming is event-typed and thread-centric.", id="res-1"
-        ),
-    ]
-)
-
-
-_researcher: SubAgent = {
-    "name": "researcher",
-    "description": (
-        "Looks up notes on a topic and returns a short summary. "
-        "Use this when the user wants to research something."
-    ),
-    "system_prompt": (
-        "You are a research assistant. Reply with one or two sentences "
-        "summarising what the user asked about. Do not call any tools."
-    ),
-    "model": _researcher_model,
-}
-
-
-graph = create_deep_agent(
-    model=_supervisor_model,
-    system_prompt=(
-        "You are a supervisor coordinating a researcher subagent. "
-        "When the user asks to research anything, call the `task` tool "
-        "with subagent_type='researcher'."
-    ),
-    subagents=[_researcher],
-    name="v3_deep_agent",
-)
@@ -1,300 +0,0 @@
-"""Example graph exercising the full v3 streaming surface.
-
-Topology:
-
-    __start__ -> stream_message -> call_tool -> ask_human -> subgraph -> __end__
-
-Each node is designed to surface a specific v3 channel:
-
- `stream_message` yields token-by-token AI message chunks (`messages`).
- `call_tool` invokes a tool and emits a tool-call lifecycle (`tools`).
- `ask_human` raises an `interrupt(...)` to test `thread.interrupted` /
-  `thread.run.respond(...)` (`lifecycle` / `input`).
- `subgraph` is a nested `StateGraph` invoked once so `thread.subgraphs` has
-  exactly one direct child (`tasks` + `messages` under a namespace).
-
-Extensions: every node calls `get_stream_writer()("progress", {...})` so
-`thread.extensions["progress"]` produces deterministic events.
-
-No real LLM is used — message streaming is simulated by yielding a list of
-`AIMessageChunk`s from the node. This keeps the integration suite
-hermetic.
-"""
-
-from __future__ import annotations
-
-import operator
-from collections.abc import AsyncIterator, Iterator
-from typing import Annotated, Any, TypedDict
-
-from langchain_core.callbacks import (
-    AsyncCallbackManagerForLLMRun,
-    CallbackManagerForLLMRun,
-)
-from langchain_core.language_models.chat_models import BaseChatModel
-from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, ToolMessage
-from langchain_core.outputs import ChatGenerationChunk
-from langchain_core.tools import tool
-from langgraph.config import get_stream_writer
-from langgraph.graph import StateGraph
-from langgraph.graph.message import add_messages
-from langgraph.stream.transformers import CustomTransformer, UpdatesTransformer
-from langgraph.types import interrupt
-
-
-class _StreamingFakeChatModel(BaseChatModel):
-    """Fake ``BaseChatModel`` that streams ``AIMessageChunk``s.
-
-    Implements ``_stream`` / ``_astream`` so the v3 chat-model
-    callback chain (``_aiter_v2_events`` in
-    ``langchain_core/language_models/chat_models.py``) fires
-    ``run_manager.on_stream_event(...)`` per normalized protocol
-    event. ``StreamMessagesHandlerV2`` -- attached by the langgraph
-    runtime when ``"messages"`` is in stream_modes -- catches those
-    callbacks and surfaces them on the v3 wire ``messages`` channel
-    at root namespace.
-
-    The base ``FakeMessagesListChatModel`` would have worked for
-    ``ainvoke`` but raises ``NotImplementedError`` from ``_stream``,
-    so it can't drive the streaming-callback path. ``GenericFakeChatModel``
-    implements ``_stream`` but takes an ``Iterator`` that gets
-    exhausted across invocations.
-    """
-
-    text: str = "Hello, world!"
-    message_id: str = "ai-msg-1"
-
-    @property
-    def _llm_type(self) -> str:
-        return "streaming-fake-chat-model"
-
-    def _generate(self, messages, stop=None, run_manager=None, **kwargs):
-        from langchain_core.outputs import ChatGeneration, ChatResult
-
-        return ChatResult(
-            generations=[
-                ChatGeneration(message=AIMessage(content=self.text, id=self.message_id))
-            ]
-        )
-
-    def _stream(
-        self,
-        messages: list[BaseMessage],
-        stop: list[str] | None = None,
-        run_manager: CallbackManagerForLLMRun | None = None,
-        **kwargs: object,
-    ) -> Iterator[ChatGenerationChunk]:
-        # Yield content as space-separated word chunks so deltas are
-        # observable. The final chunk's ``chunk_position="last"`` tells
-        # the callback chain to emit ``message-finish``.
-        parts = self.text.split(" ")
-        for i, part in enumerate(parts):
-            content = part if i == 0 else " " + part
-            chunk = AIMessageChunk(content=content, id=self.message_id)
-            if i == len(parts) - 1:
-                chunk.chunk_position = "last"
-            yield ChatGenerationChunk(message=chunk)
-
-    async def _astream(
-        self,
-        messages: list[BaseMessage],
-        stop: list[str] | None = None,
-        run_manager: AsyncCallbackManagerForLLMRun | None = None,
-        **kwargs: object,
-    ) -> AsyncIterator[ChatGenerationChunk]:
-        for chunk in self._stream(messages, stop=stop, **kwargs):
-            yield chunk
-
-
-_stream_model = _StreamingFakeChatModel()
-
-
-class AgentState(TypedDict):
-    """Top-level state for the agent.
-
-    `messages` accumulates AI/tool/user messages via the standard `add_messages`
-    reducer. `value` is a simple scalar to test the `values` channel.
-    `items` accumulates list-append updates via `operator.add` so each node
-    contributes a marker and the terminal state reflects the full path
-    rather than only the last node's return.
-    """
-
-    messages: Annotated[list[BaseMessage], add_messages]
-    value: str
-    items: Annotated[list[str], operator.add]
-
-
-@tool
-def search(query: str) -> str:
-    """Look up `query` in a fake search index."""
-    return f"result for {query!r}"
-
-
-# ---------------------------------------------------------------------------
-# Nodes
-# ---------------------------------------------------------------------------
-
-
-async def stream_message(state: AgentState) -> dict[str, Any]:
-    """Stream an AI message via a fake chat model.
-
-    Awaiting ``model.ainvoke(...)`` drives langgraph's chat-model
-    streaming callbacks (``StreamMessagesHandlerV2`` ->
-    ``MessagesTransformer``), so the v3 ``messages`` channel emits the
-    normalized delta lifecycle (``message-start`` ->
-    ``content-block-start`` -> ``content-block-delta`` ->
-    ``content-block-finish`` -> ``message-finish``) at root namespace.
-    Returning the resolved ``AIMessage`` via the messages reducer also
-    keeps the existing ``values`` snapshots intact.
-    """
-    writer = get_stream_writer()
-
-    writer({"name": "progress", "step": "stream_message", "phase": "start"})
-
-    # ``astream_events(version="v3")`` drives the chat model's
-    # ``_aiter_v2_events`` path (``BaseChatModel`` in
-    # ``langchain_core/language_models/chat_models.py``), which fires
-    # ``run_manager.on_stream_event(...)`` per normalized protocol
-    # event (``message-start`` / ``content-block-delta`` /
-    # ``message-finish``). ``StreamMessagesHandlerV2`` -- attached by
-    # the langgraph runtime when ``"messages"`` is in stream_modes --
-    # catches those callbacks and surfaces them on the v3 wire
-    # ``messages`` channel at root namespace. Plain ``astream(...)``
-    # does NOT route through this handler.
-    text_parts: list[str] = []
-    message_id = "ai-msg-1"
-    # ``astream_events(version="v3")`` returns an awaitable that resolves
-    # to the async iterator.
-    stream = await _stream_model.astream_events([], version="v3")
-    async for event in stream:
-        if event.get("event") == "content-block-delta":
-            delta = event.get("delta") or {}
-            t = delta.get("text") if isinstance(delta, dict) else None
-            if isinstance(t, str):
-                text_parts.append(t)
-        elif event.get("event") == "message-start":
-            mid = event.get("id")
-            if isinstance(mid, str):
-                message_id = mid
-    final = AIMessage(content="".join(text_parts), id=message_id)
-
-    writer({"name": "progress", "step": "stream_message", "phase": "end"})
-    return {"messages": [final], "value": "x", "items": ["streamed"]}
-
-
-def call_tool(state: AgentState) -> dict[str, Any]:
-    """Invoke a tool and emit its result as a tool message.
-
-    A tool call here exercises the `tools` channel in v3.
-    """
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "call_tool", "phase": "start"})
-
-    # Hand-roll a tool call so we don't need a model to issue it.
-    tool_call_id = "tc-1"
-    ai_with_tool = AIMessage(
-        content="",
-        id="ai-msg-2",
-        tool_calls=[
-            {
-                "id": tool_call_id,
-                "name": "search",
-                "args": {"query": "v3"},
-            }
-        ],
-    )
-    result = search.invoke({"query": "v3"})
-    tool_msg = ToolMessage(content=result, tool_call_id=tool_call_id)
-
-    writer({"name": "progress", "step": "call_tool", "phase": "end"})
-    return {
-        "messages": [ai_with_tool, tool_msg],
-        "items": ["tool"],
-    }
-
-
-def ask_human(state: AgentState) -> dict[str, Any]:
-    """Pause the graph and wait for a `thread.run.respond(...)`.
-
-    `interrupt(value)` raises a special exception that the runtime catches;
-    the v3 lifecycle emits `input.requested` with this `value` and the
-    client must call `thread.run.respond(answer)` to continue.
-    """
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "ask_human", "phase": "start"})
-
-    answer = interrupt("Are we good?")
-
-    writer(
-        {"name": "progress", "step": "ask_human", "phase": "end", "answer": str(answer)}
-    )
-    return {
-        "messages": [AIMessage(content=f"Human said: {answer}", id="ai-msg-3")],
-        "items": ["asked"],
-    }
-
-
-# ---------------------------------------------------------------------------
-# Subgraph (exercises `thread.subgraphs`)
-# ---------------------------------------------------------------------------
-
-
-class SubState(TypedDict):
-    messages: Annotated[list[BaseMessage], add_messages]
-    note: str
-
-
-def sub_node(state: SubState) -> dict[str, Any]:
-    """Single node in the subgraph; emits a message and a custom event."""
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "sub_node", "phase": "start"})
-    msg = AIMessage(content="from subgraph", id="sub-msg-1")
-    writer({"name": "progress", "step": "sub_node", "phase": "end"})
-    return {"messages": [msg], "note": "ran"}
-
-
-_sub_builder = StateGraph(SubState)
-_sub_builder.add_node("sub", sub_node)
-_sub_builder.set_entry_point("sub")
-_sub_builder.set_finish_point("sub")
-subgraph = _sub_builder.compile()
-
-
-def run_subgraph(state: AgentState) -> dict[str, Any]:
-    """Invoke the subgraph once so it appears as a direct child handle."""
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "run_subgraph", "phase": "start"})
-    sub_state = subgraph.invoke({"messages": [], "note": ""})
-    writer({"name": "progress", "step": "run_subgraph", "phase": "end"})
-    return {
-        "messages": sub_state["messages"],
-        "items": ["sub"],
-    }
-
-
-# ---------------------------------------------------------------------------
-# Top-level graph
-# ---------------------------------------------------------------------------
-
-
-_builder: StateGraph[AgentState, Any, Any, Any] = StateGraph(AgentState)
-_builder.add_node("stream_message", stream_message)
-_builder.add_node("call_tool", call_tool)
-_builder.add_node("ask_human", ask_human)
-_builder.add_node("run_subgraph", run_subgraph)
-
-_builder.set_entry_point("stream_message")
-_builder.add_edge("stream_message", "call_tool")
-_builder.add_edge("call_tool", "ask_human")
-_builder.add_edge("ask_human", "run_subgraph")
-_builder.set_finish_point("run_subgraph")
-
-graph = _builder.compile(
-    name="v3_integration_agent",
-    # Register transformers so ``custom`` (``get_stream_writer()``) and
-    # ``updates`` channels emit on the wire. ``MessagesTransformer`` is
-    # auto-registered by the v3 mux for any graph that streams a chat
-    # model. ``ValuesTransformer`` / ``LifecycleTransformer`` are also
-    # always-on natives.
-    transformers=[CustomTransformer, UpdatesTransformer],
-)
@@ -1,91 +0,0 @@
-"""create_agent-based example exercising the v3 ``tools`` channel.
-
-`thread.tool_calls` and the underlying ``tools`` channel only emit
-events when an actual model issues a tool call through langchain's
-agent stack. The synthetic ``streaming_graph.py`` hand-builds
-`AIMessage(tool_calls=[...])` and a `ToolMessage` via the messages
-reducer — that gets persisted in state but never produces tool-call
-telemetry on the wire. This graph fixes that by going through
-`create_agent` with a real tool, driven by a `GenericFakeChatModel` so
-the test stays hermetic (no `ANTHROPIC_API_KEY` required).
-
-Flow on `run.start`:
-
-1. Supervisor model returns an `AIMessage(tool_calls=[search(query="v3")])`.
-2. langchain's tool node executes `search` and produces a `ToolMessage`.
-3. Supervisor model returns a final `AIMessage("done.")` to terminate.
-
-The v3 streaming layer surfaces this as `messages` + `tools` channel
-events at root namespace.
-"""
-
-from __future__ import annotations
-
-from typing import Any
-
-from langchain.agents import create_agent
-from langchain_core.language_models.fake_chat_models import FakeMessagesListChatModel
-from langchain_core.messages import AIMessage
-from langchain_core.tools import tool
-
-
-@tool
-def search(query: str) -> str:
-    """Look up `query` in a fake search index."""
-    return f"result for {query!r}"
-
-
-class _ToolBindingFakeChatModel(FakeMessagesListChatModel):
-    """Fake chat model that satisfies `create_agent`'s ``bind_tools`` call.
-
-    ``create_agent`` calls ``model.bind_tools(tools)`` to attach the tool
-    schema (``langchain/agents/factory.py:1284``). The base
-    ``FakeMessagesListChatModel`` inherits ``BaseChatModel.bind_tools``,
-    which raises ``NotImplementedError``. We don't actually need the
-    bound schema — the fake replays scripted ``AIMessage``s with their
-    own ``tool_calls`` field — so override ``bind_tools`` as a no-op.
-
-    ``FakeMessagesListChatModel`` is preferred over
-    ``GenericFakeChatModel`` here because the latter's ``_stream``
-    breaks the message into content chunks and **drops ``tool_calls``**
-    when content is empty, causing the v2 streaming path inside
-    ``create_agent`` to raise ``RuntimeError("v2 stream finished
-    without producing a message")``. ``FakeMessagesListChatModel``
-    falls back to the default ``_stream`` that yields the whole
-    message in one chunk, preserving ``tool_calls``.
-    """
-
-    def bind_tools(self, tools: Any, **kwargs: Any) -> _ToolBindingFakeChatModel:
-        return self
-
-
-# Two scripted turns. ``FakeMessagesListChatModel`` cycles through
-# ``responses`` (resetting to index 0 after the last) so the graph
-# can be run many times without restart; per run, ``create_agent``
-# invokes the model exactly twice (once to issue the tool call,
-# once after the tool result to produce the terminating answer).
-_supervisor_responses: list[AIMessage] = [
-    AIMessage(
-        content="",
-        id="ai-tools-1",
-        tool_calls=[
-            {
-                "id": "tc-1",
-                "name": "search",
-                "args": {"query": "v3"},
-            }
-        ],
-    ),
-    AIMessage(content="done.", id="ai-tools-2"),
-]
-
-
-_supervisor_model = _ToolBindingFakeChatModel(responses=_supervisor_responses)
-
-
-graph = create_agent(
-    model=_supervisor_model,
-    tools=[search],
-    system_prompt="You are a research assistant. Use the search tool when asked.",
-    name="v3_tools_agent",
-)
@@ -1,10 +0,0 @@
-{
-  "$schema": "https://langgra.ph/schema.json",
-  "dependencies": ["./graph"],
-  "graphs": {
-    "agent": "./graph/streaming_graph.py:graph",
-    "tools_agent": "./graph/tools_agent.py:graph",
-    "deep_agent": "./graph/deep_agent.py:graph"
-  },
-  "env": {}
-}
@@ -1,124 +0,0 @@
-"""Shared helpers for the v3 streaming integration scripts.
-
-All scripts share the same expectations:
-
- A `langgraph-api` server is reachable at `BASE_URL` (default
-  http://localhost:2024 — set by `docker-compose.yml`, which builds
-  on `langchain/langgraph-api:latest-py3.12`).
- The example graph (`integration/graph/streaming_graph.py:graph`) is
-  registered under the assistant id `agent` (see `integration/langgraph.json`).
-
-Each script imports `make_async_client()` / `make_sync_client()` from here
-to construct the v3 SDK client. Override `BASE_URL` via the
-`LANGGRAPH_INTEGRATION_URL` env var if you're running the API elsewhere.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import contextlib
-import os
-import threading
-from typing import TYPE_CHECKING, Any
-
-import httpx
-
-if TYPE_CHECKING:
-    from langgraph_sdk._async.threads import ThreadsClient as AsyncThreadsClient
-    from langgraph_sdk._sync.threads import SyncThreadsClient
-
-BASE_URL = os.environ.get("LANGGRAPH_INTEGRATION_URL", "http://localhost:2024")
-ASSISTANT_ID = "agent"
-
-
-def make_async_client() -> tuple[AsyncThreadsClient, httpx.AsyncClient]:
-    """Build an async ThreadsClient pointing at the integration API.
-
-    Returns the client and the underlying httpx client so callers can close
-    it. Typical usage:
-
-    ```python
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(...) as thread:
-            ...
-    finally:
-        await raw.aclose()
-    ```
-    """
-    from langgraph_sdk._async.http import HttpClient
-    from langgraph_sdk._async.threads import ThreadsClient
-
-    raw = httpx.AsyncClient(base_url=BASE_URL, timeout=30.0)
-    return ThreadsClient(HttpClient(raw)), raw
-
-
-def make_sync_client() -> tuple[SyncThreadsClient, httpx.Client]:
-    """Build a sync ThreadsClient pointing at the integration API."""
-    from langgraph_sdk._sync.http import SyncHttpClient
-    from langgraph_sdk._sync.threads import SyncThreadsClient
-
-    raw = httpx.Client(base_url=BASE_URL, timeout=30.0)
-    return SyncThreadsClient(SyncHttpClient(raw)), raw
-
-
-def header(title: str) -> None:
-    """Print a section header for script output."""
-    bar = "=" * (len(title) + 4)
-    print(f"\n{bar}\n  {title}\n{bar}")
-
-
-def auto_respond_async(thread: Any, response: Any = "yes") -> asyncio.Task[None]:
-    """Spawn a background task that responds to the first interrupt and exits.
-
-    Opens a private `thread.values` subscription and drains it; the SDK's
-    `_signal_paused` mechanism pushes the terminal sentinel into the
-    iterator when `interrupted` flips True, so the loop exits at the
-    interrupt. The auto-responder then calls `run.respond(...)` and the
-    foreground iteration sees the rest of the run.
-
-    Returns the task so callers can `await` it before tearing down the
-    stream (recommended) or cancel it.
-    """
-
-    async def _runner() -> None:
-        async for _ in thread.values:
-            if thread.interrupted:
-                break
-        if thread.interrupted:
-            with contextlib.suppress(Exception):
-                await thread.run.respond(response)
-
-    return asyncio.create_task(_runner())
-
-
-def auto_respond_sync(thread: Any, response: Any = "yes") -> threading.Thread:
-    """Sync analogue of `auto_respond_async`."""
-
-    def _runner() -> None:
-        for _ in thread.values:
-            if thread.interrupted:
-                break
-        if thread.interrupted:
-            with contextlib.suppress(Exception):
-                thread.run.respond(response)
-
-    t = threading.Thread(target=_runner, daemon=True, name="auto-respond")
-    t.start()
-    return t
-
-
-def check_api_reachable() -> None:
-    """Fail fast with a helpful message if the API isn't reachable.
-
-    Call this at the top of `main()` in each script.
-    """
-    try:
-        resp = httpx.get(f"{BASE_URL}/ok", timeout=2.0)
-        resp.raise_for_status()
-    except Exception as err:
-        raise SystemExit(
-            f"\nCannot reach the integration API at {BASE_URL}: {err!r}\n"
-            f"Did you run `docker compose up -d` from `libs/sdk-py/integration/`?\n"
-            f"Or set LANGGRAPH_INTEGRATION_URL=... to point elsewhere.\n"
-        ) from err
@@ -1,185 +0,0 @@
-"""Exercise mid-run cancellation against the integration API.
-
-Strategy: start a run on a fresh thread, capture the run id, then
-cancel via the runs REST client while events are still flowing. The
-projection iterator must terminate without hanging, no exception
-should escape, and the thread's persisted status must reflect a
-non-success terminal state.
-
-The graph normally interrupts at `ask_human`; cancel must take effect
-before or after that interrupt, and either way the run must end up in
-a non-success state from the server's perspective.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import contextlib
-import threading
-import time
-from typing import Any
-
-from _common import (
-    ASSISTANT_ID,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-_CANCEL_GRACE_SECONDS = 10.0
-
-
-async def _cancel_after_first_event(
-    runs_client: Any,
-    thread_id: str,
-    run_id_future: asyncio.Future[str],
-) -> None:
-    """Wait for the run id, briefly let events flow, then cancel."""
-    run_id = await run_id_future
-    # Allow a beat of events to flow so cancel hits mid-stream rather
-    # than racing with the run.start handshake.
-    await asyncio.sleep(0.1)
-    with contextlib.suppress(Exception):
-        await runs_client.cancel(thread_id, run_id, wait=False)
-
-
-async def run_async() -> None:
-    header("async mid-run cancel")
-    threads, raw = make_async_client()
-    # Cancel goes through the runs REST surface, not the stream proxy.
-    from langgraph_sdk._async.http import HttpClient
-    from langgraph_sdk._async.runs import RunsClient
-
-    runs_client = RunsClient(HttpClient(raw))
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            run_id_future: asyncio.Future[str] = (
-                asyncio.get_running_loop().create_future()
-            )
-            start_result = await thread.run.start(
-                input={"messages": [], "value": "init", "items": []}
-            )
-            run_id = start_result.get("run_id")
-            assert run_id, f"run.start returned no run_id: {start_result!r}"
-            run_id_future.set_result(run_id)
-
-            canceller = asyncio.create_task(
-                _cancel_after_first_event(runs_client, thread.thread_id, run_id_future)
-            )
-
-            snapshots: list[dict] = []
-            started = time.monotonic()
-            iteration_error: BaseException | None = None
-            try:
-                async for snap in thread.values:
-                    snapshots.append(snap)
-                    if time.monotonic() - started > _CANCEL_GRACE_SECONDS:
-                        raise AssertionError(
-                            f"values iterator did not terminate within "
-                            f"{_CANCEL_GRACE_SECONDS}s of cancel"
-                        )
-            except BaseException as err:
-                iteration_error = err
-
-            await canceller
-
-            persisted = await threads.get(thread.thread_id)
-            status = persisted.get("status")
-            print(f"  snapshots before cancel: {len(snapshots)}")
-            print(f"  thread.thread_id={thread.thread_id}")
-            print(f"  iteration_error={iteration_error!r}")
-            print(f"  persisted status={status!r}")
-            assert iteration_error is None, (
-                f"values iterator raised after cancel: {iteration_error!r}"
-            )
-            assert status != "success", (
-                f"expected non-success terminal status after cancel, got {status!r}"
-            )
-    finally:
-        await raw.aclose()
-
-
-def _cancel_after_first_event_sync(
-    runs_client: Any,
-    thread_id: str,
-    run_id_event: threading.Event,
-    run_id_holder: dict[str, str],
-) -> None:
-    run_id_event.wait(timeout=10.0)
-    run_id = run_id_holder.get("run_id")
-    if not run_id:
-        return
-    time.sleep(0.1)
-    with contextlib.suppress(Exception):
-        runs_client.cancel(thread_id, run_id, wait=False)
-
-
-def run_sync() -> None:
-    header("sync mid-run cancel")
-    threads, raw = make_sync_client()
-    from langgraph_sdk._sync.http import SyncHttpClient
-    from langgraph_sdk._sync.runs import SyncRunsClient
-
-    runs_client = SyncRunsClient(SyncHttpClient(raw))
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            run_id_event = threading.Event()
-            run_id_holder: dict[str, str] = {}
-            start_result = thread.run.start(
-                input={"messages": [], "value": "init", "items": []}
-            )
-            run_id = start_result.get("run_id")
-            assert run_id, f"run.start returned no run_id: {start_result!r}"
-            run_id_holder["run_id"] = run_id
-            run_id_event.set()
-
-            canceller = threading.Thread(
-                target=_cancel_after_first_event_sync,
-                args=(runs_client, thread.thread_id, run_id_event, run_id_holder),
-                daemon=True,
-                name="cancel-worker",
-            )
-            canceller.start()
-
-            snapshots: list[dict] = []
-            started = time.monotonic()
-            iteration_error: BaseException | None = None
-            try:
-                for snap in thread.values:
-                    snapshots.append(snap)
-                    if time.monotonic() - started > _CANCEL_GRACE_SECONDS:
-                        raise AssertionError(
-                            f"values iterator did not terminate within "
-                            f"{_CANCEL_GRACE_SECONDS}s of cancel"
-                        )
-            except BaseException as err:
-                iteration_error = err
-
-            canceller.join(timeout=5)
-
-            persisted = threads.get(thread.thread_id)
-            status = persisted.get("status")
-            print(f"  snapshots before cancel: {len(snapshots)}")
-            print(f"  thread.thread_id={thread.thread_id}")
-            print(f"  iteration_error={iteration_error!r}")
-            print(f"  persisted status={status!r}")
-            assert iteration_error is None, (
-                f"values iterator raised after cancel: {iteration_error!r}"
-            )
-            assert status != "success", (
-                f"expected non-success terminal status after cancel, got {status!r}"
-            )
-    finally:
-        with contextlib.suppress(Exception):
-            raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,128 +0,0 @@
-"""Exercise concurrent `threads.stream()` against the integration API.
-
-Two distinct threads.stream() contexts run in parallel against the same
-client. Each context is independent (different thread_id minted by the
-SDK, separate controller, separate auto-responder). Invariants:
-
-1. Both runs reach the canonical terminal state independently
-   (`items == ['streamed','tool','asked','sub']`).
-2. Their thread_ids differ (no thread-id collision when minting client-side).
-3. Neither raises during iteration.
-
-This catches regressions where the two streams might share controller
-state or where minted ids could collide under concurrent ``__aenter__``.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import contextlib
-import threading
-from typing import Any
-
-from _common import (
-    ASSISTANT_ID,
-    auto_respond_async,
-    auto_respond_sync,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-_EXPECTED_TERMINAL_ITEMS = ["streamed", "tool", "asked", "sub"]
-
-
-async def _drive_one_async(threads: Any, label: str) -> dict[str, Any]:
-    async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-        await thread.run.start(input={"messages": [], "value": "init", "items": []})
-        responder = auto_respond_async(thread)
-        # Just drain values until terminal; we only care about the final state.
-        async for _ in thread.values:
-            pass
-        await responder
-        final = await thread.output
-        print(f"  [{label}] thread_id={thread.thread_id} items={final.get('items')!r}")
-        return {"thread_id": thread.thread_id, "items": final.get("items")}
-
-
-async def run_async() -> None:
-    header("async concurrent threads.stream (x2)")
-    threads, raw = make_async_client()
-    try:
-        results = await asyncio.gather(
-            _drive_one_async(threads, "A"),
-            _drive_one_async(threads, "B"),
-        )
-        a, b = results
-        assert a["items"] == _EXPECTED_TERMINAL_ITEMS, (
-            f"stream A failed to reach terminal: {a!r}"
-        )
-        assert b["items"] == _EXPECTED_TERMINAL_ITEMS, (
-            f"stream B failed to reach terminal: {b!r}"
-        )
-        assert a["thread_id"] != b["thread_id"], (
-            f"concurrent streams collided on thread_id {a['thread_id']!r}"
-        )
-    finally:
-        await raw.aclose()
-
-
-def _drive_one_sync(
-    threads: Any, label: str, results: dict[str, dict[str, Any]]
-) -> None:
-    with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-        thread.run.start(input={"messages": [], "value": "init", "items": []})
-        responder = auto_respond_sync(thread)
-        for _ in thread.values:
-            pass
-        responder.join(timeout=10)
-        final = thread.output
-        print(f"  [{label}] thread_id={thread.thread_id} items={final.get('items')!r}")
-        results[label] = {"thread_id": thread.thread_id, "items": final.get("items")}
-
-
-def run_sync() -> None:
-    header("sync concurrent threads.stream (x2)")
-    threads, raw = make_sync_client()
-    try:
-        results: dict[str, dict[str, Any]] = {}
-        workers = [
-            threading.Thread(
-                target=_drive_one_sync,
-                args=(threads, label, results),
-                daemon=True,
-                name=f"sync-stream-{label}",
-            )
-            for label in ("A", "B")
-        ]
-        for w in workers:
-            w.start()
-        for w in workers:
-            w.join(timeout=60)
-            assert not w.is_alive(), f"worker {w.name} did not finish within 60s"
-
-        a = results.get("A")
-        b = results.get("B")
-        assert a is not None and a["items"] == _EXPECTED_TERMINAL_ITEMS, (
-            f"stream A failed to reach terminal: {a!r}"
-        )
-        assert b is not None and b["items"] == _EXPECTED_TERMINAL_ITEMS, (
-            f"stream B failed to reach terminal: {b!r}"
-        )
-        assert a["thread_id"] != b["thread_id"], (
-            f"concurrent streams collided on thread_id {a['thread_id']!r}"
-        )
-    finally:
-        with contextlib.suppress(Exception):
-            raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,67 +0,0 @@
-"""Exercise `thread.extensions[name]` against the integration API.
-
-Every node in the example graph writes `("progress", {...})` via
-`get_stream_writer`. This script verifies the `extensions["progress"]`
-projection yields each progress event in order.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import (
-    ASSISTANT_ID,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-
-async def run_async() -> None:
-    header("async extensions[progress]")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            events: list[dict] = []
-            async for event in thread.extensions["progress"]:
-                print(f"  progress: {event!r}")
-                events.append(event)
-            print(f"  total progress events: {len(events)}")
-            assert events, "expected at least one progress event"
-            # Verify ordering covers the node sequence.
-            steps = [e.get("step") for e in events]
-            print(f"  step sequence: {steps}")
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync extensions[progress]")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            events: list[dict] = []
-            for event in thread.extensions["progress"]:
-                print(f"  progress: {event!r}")
-                events.append(event)
-            print(f"  total progress events: {len(events)}")
-            assert events, "expected at least one progress event"
-            steps = [e.get("step") for e in events]
-            print(f"  step sequence: {steps}")
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,67 +0,0 @@
-"""Exercise helper methods on `thread` against the integration API.
-
-Covers `thread.agent.get_tree(xray=...)` and the extensions cache.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import (
-    ASSISTANT_ID,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-
-async def run_async() -> None:
-    header("async helpers (agent.get_tree, extensions cache)")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            tree = await thread.agent.get_tree()
-            print(f"  get_tree() returned: nodes={list(tree.get('nodes', []))[:5]} ...")
-            assert tree, "expected non-empty tree"
-
-            tree_xray = await thread.agent.get_tree(xray=True)
-            print(f"  get_tree(xray=True) returned keys: {list(tree_xray)[:5]}")
-
-            # Extensions cache: same name returns same projection instance.
-            a = thread.extensions["progress"]
-            b = thread.extensions["progress"]
-            assert a is b, "expected cached _ExtensionProjection on repeated access"
-            print("  extensions cache: OK (same projection instance reused)")
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync helpers (agent.get_tree, extensions cache)")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            tree = thread.agent.get_tree()
-            print(f"  get_tree() returned: nodes={list(tree.get('nodes', []))[:5]} ...")
-            assert tree, "expected non-empty tree"
-
-            tree_xray = thread.agent.get_tree(xray=True)
-            print(f"  get_tree(xray=True) returned keys: {list(tree_xray)[:5]}")
-
-            a = thread.extensions["progress"]
-            b = thread.extensions["progress"]
-            assert a is b, "expected cached _ExtensionProjection on repeated access"
-            print("  extensions cache: OK (same projection instance reused)")
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,97 +0,0 @@
-"""Exercise lifecycle state + `thread.run.respond(...)` against the integration API.
-
-The example graph's `ask_human` node calls `interrupt("Are we good?")`. This
-script:
-
-1. Starts a run.
-2. Waits until `thread.interrupted` becomes True (an `input.requested`
-   lifecycle event lands).
-3. Inspects `thread.interrupts` to see the outstanding payload.
-4. Calls `thread.run.respond("yes")` to resume.
-5. Awaits `thread.output` for the final state.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import (
-    ASSISTANT_ID,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-
-async def run_async() -> None:
-    header("async lifecycle + respond")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            # Drain values until interrupt fires. (`thread.values` ends when
-            # the run terminates OR when the run is paused on an interrupt;
-            # the latter sets `thread.interrupted` mid-iteration.)
-            saw_interrupt = False
-            async for _snap in thread.values:
-                if thread.interrupted:
-                    saw_interrupt = True
-                    break
-
-            print(f"  thread.interrupted = {thread.interrupted}")
-            print(f"  thread.interrupts  = {thread.interrupts!r}")
-            assert thread.interrupted, "expected an interrupt before the run completed"
-            assert thread.interrupts, "expected interrupts list to be populated"
-
-            await thread.run.respond("yes")
-
-            final = await thread.output
-            print(f"  final output items: {final.get('items')!r}")
-            assert "asked" in final.get("items", []), (
-                "expected ask_human to have run after respond"
-            )
-            print(f"  saw_interrupt before respond = {saw_interrupt}")
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync lifecycle + respond")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            saw_interrupt = False
-            for _snap in thread.values:
-                if thread.interrupted:
-                    saw_interrupt = True
-                    break
-
-            print(f"  thread.interrupted = {thread.interrupted}")
-            print(f"  thread.interrupts  = {thread.interrupts!r}")
-            assert thread.interrupted, "expected an interrupt before the run completed"
-            assert thread.interrupts, "expected interrupts list to be populated"
-
-            thread.run.respond("yes")
-
-            final = thread.output
-            print(f"  final output items: {final.get('items')!r}")
-            assert "asked" in final.get("items", []), (
-                "expected ask_human to have run after respond"
-            )
-            print(f"  saw_interrupt before respond = {saw_interrupt}")
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,83 +0,0 @@
-"""Exercise `thread.messages` against the integration API.
-
-The ``stream_message`` node in ``streaming_graph`` invokes a fake
-``FakeMessagesListChatModel`` whose ``_stream`` callbacks drive
-langgraph's ``StreamMessagesHandlerV2`` -> ``MessagesTransformer``,
-so the v3 ``messages`` channel emits the normalized delta lifecycle
-(``message-start`` -> ``content-block-start`` ->
-``content-block-delta`` -> ``content-block-finish`` ->
-``message-finish``) at root namespace.
-
-Pattern note: drain the outer iterator first (list comprehension)
-before consuming each handle's chunks -- the outer iterator yields
-on ``message-start`` but the inner ``chunk`` stream only completes
-when ``message-finish`` is processed by the outer iter. Iterating
-chunks while the outer is suspended at ``yield`` deadlocks.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import (
-    ASSISTANT_ID,
-    auto_respond_async,
-    auto_respond_sync,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-
-async def run_async() -> None:
-    header("async messages")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-            # Graph interrupts at `ask_human`; background responder
-            # unblocks so terminal lifecycle fires and the messages
-            # iterator exits cleanly.
-            responder = auto_respond_async(thread)
-
-            streams = [s async for s in thread.messages]
-            await responder
-            print(f"  total streams: {len(streams)}")
-            for stream in streams:
-                text = "".join([t async for t in stream.text])
-                msg_id = getattr(stream, "message_id", None) or "?"
-                print(f"  message {msg_id}: {text!r}")
-            assert streams, "expected at least one streamed message"
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync messages")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-            responder = auto_respond_sync(thread)
-
-            streams = list(thread.messages)
-            responder.join(timeout=5)
-            print(f"  total streams: {len(streams)}")
-            for stream in streams:
-                text = "".join(list(stream.text))
-                msg_id = getattr(stream, "message_id", None) or "?"
-                print(f"  message {msg_id}: {text!r}")
-            assert streams, "expected at least one streamed message"
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,197 +0,0 @@
-"""Exercise stream-handle close + recovery against the integration API.
-
-The SDK's "reconnect on transport drop" code path (controller
-`_reconnect_shared_stream`) only fires when `shared.done` resolves to a
-non-cancelled error — i.e. genuine network/server failures, not graceful
-client-initiated closes. Reliably faking such an error against a real
-server is brittle, so this script asserts the next-strongest invariant:
-**a client-initiated stream close mid-iteration must not corrupt durable
-state**.
-
-Concretely:
-
-1. Start the run; let the auto-responder unblock the interrupt.
-2. Drop the shared SSE handle after the first snapshot.
-3. The values projection iterator may end early (the close drains the
-   sub queue with `None`), but `thread.output` must still resolve to the
-   canonical terminal state via the REST fallback path.
-4. No exception escapes the iteration.
-
-We also instrument `_dedup_iter` to count any duplicate event_ids and
-print the counter for visibility. A future regression that
-double-delivers events through the controller would surface here.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import contextlib
-import functools
-from typing import Any
-
-from _common import (
-    ASSISTANT_ID,
-    auto_respond_async,
-    auto_respond_sync,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-_EXPECTED_TERMINAL_ITEMS = ["streamed", "tool", "asked", "sub"]
-
-
-def _instrument_dedup_async(controller: Any) -> dict[str, int]:
-    """Wrap `_dedup_iter` so duplicate event_ids are counted."""
-    counter = {"drops": 0, "yields": 0}
-    original = controller._dedup_iter.__func__  # type: ignore[attr-defined]
-
-    @functools.wraps(original)
-    async def _counted(self, source):  # type: ignore[no-untyped-def]
-        async for event in source:
-            event_id = event.get("event_id")
-            if event_id is not None:
-                if event_id in self._seen_event_ids:
-                    counter["drops"] += 1
-                    continue
-                self._seen_event_ids.add(event_id)
-            counter["yields"] += 1
-            yield event
-
-    controller._dedup_iter = _counted.__get__(controller, type(controller))
-    return counter
-
-
-def _instrument_dedup_sync(controller: Any) -> dict[str, int]:
-    counter = {"drops": 0, "yields": 0}
-    original = controller._dedup_iter.__func__  # type: ignore[attr-defined]
-
-    @functools.wraps(original)
-    def _counted(self, source):  # type: ignore[no-untyped-def]
-        for event in source:
-            event_id = event.get("event_id")
-            if event_id is not None:
-                if event_id in self._seen_event_ids:
-                    counter["drops"] += 1
-                    continue
-                self._seen_event_ids.add(event_id)
-            counter["yields"] += 1
-            yield event
-
-    controller._dedup_iter = _counted.__get__(controller, type(controller))
-    return counter
-
-
-async def run_async() -> None:
-    header("async stream-close mid-iteration (terminal state via REST)")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            counter = _instrument_dedup_async(thread)
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            responder = auto_respond_async(thread)
-
-            snapshots: list[dict] = []
-            dropped = False
-            iteration_error: BaseException | None = None
-            try:
-                async for snap in thread.values:
-                    snapshots.append(snap)
-                    if not dropped and thread._shared_stream is not None:
-                        print(f"  dropping shared stream (cursor={thread._cursor})...")
-                        await thread._shared_stream.close()
-                        dropped = True
-            except BaseException as err:
-                iteration_error = err
-
-            await responder
-
-            final = await thread.output
-            print(f"  snapshots seen before drop: {len(snapshots)}")
-            print(f"  final items={final.get('items')!r}")
-            print(f"  dedup drops={counter['drops']} yields={counter['yields']}")
-            print(f"  iteration_error={iteration_error!r}")
-
-            assert dropped, "expected to drop the shared stream during iteration"
-            assert snapshots, "expected at least one snapshot before the drop"
-            assert iteration_error is None, (
-                f"values iterator raised on stream close: {iteration_error!r}"
-            )
-            assert final.get("items") == _EXPECTED_TERMINAL_ITEMS, (
-                f"terminal state not reached via REST after drop: "
-                f"items={final.get('items')!r}"
-            )
-            assert counter["drops"] == 0, (
-                f"unexpected dedup activity (drops={counter['drops']}); "
-                "no rotation occurred so no overlap was expected"
-            )
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync stream-close mid-iteration (terminal state via REST)")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            controller = thread._controller
-            counter = _instrument_dedup_sync(controller)
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            responder = auto_respond_sync(thread)
-
-            snapshots: list[dict] = []
-            dropped = False
-            iteration_error: BaseException | None = None
-            try:
-                for snap in thread.values:
-                    snapshots.append(snap)
-                    if (
-                        not dropped
-                        and controller is not None
-                        and controller._shared_stream is not None
-                    ):
-                        print(
-                            f"  dropping shared stream (cursor={controller._cursor})..."
-                        )
-                        controller._shared_stream.close()
-                        dropped = True
-            except BaseException as err:
-                iteration_error = err
-
-            responder.join(timeout=10)
-
-            final = thread.output
-            print(f"  snapshots seen before drop: {len(snapshots)}")
-            print(f"  final items={final.get('items')!r}")
-            print(f"  dedup drops={counter['drops']} yields={counter['yields']}")
-            print(f"  iteration_error={iteration_error!r}")
-
-            assert dropped, "expected to drop the shared stream during iteration"
-            assert snapshots, "expected at least one snapshot before the drop"
-            assert iteration_error is None, (
-                f"values iterator raised on stream close: {iteration_error!r}"
-            )
-            assert final.get("items") == _EXPECTED_TERMINAL_ITEMS, (
-                f"terminal state not reached via REST after drop: "
-                f"items={final.get('items')!r}"
-            )
-            assert counter["drops"] == 0, (
-                f"unexpected dedup activity (drops={counter['drops']}); "
-                "no rotation occurred so no overlap was expected"
-            )
-    finally:
-        with contextlib.suppress(Exception):
-            raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,107 +0,0 @@
-"""Exercise `thread.subgraphs` against both example graphs.
-
-Two passes:
-
-1. `agent` (plain `StateGraph`): the parent calls a nested subgraph via
-   `subgraph.invoke(...)` from a node. This may or may not surface as a
-   v3 scoped child handle depending on how the server emits namespaces
-   for nested invokes — included so we can compare behavior.
-
-2. `deep_agent`: built with `create_deep_agent` + one `SubAgent`. The
-   supervisor's model is scripted to issue a `task(researcher, ...)`
-   call, which IS the path that produces a proper scoped child handle
-   on `thread.subgraphs`. This is the canonical exercise for the v3
-   scoped-subgraph surface.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import check_api_reachable, header, make_async_client, make_sync_client
-
-
-async def _drain_subgraphs(thread) -> list:
-    """Drain ``thread.subgraphs`` to a list of {path, messages} dicts.
-
-    The outer subgraphs iterator must complete before we deep-iterate
-    each handle's ``messages`` projection -- the same nested-iteration
-    deadlock pattern as ``thread.tool_calls`` (see
-    ``test_tools.py``). So we first collect handles, then drain
-    each handle's messages serially.
-    """
-    handles: list = [h async for h in thread.subgraphs]
-    children: list = []
-    for child in handles:
-        print(f"  child handle path={child.path}")
-        # Just count handle paths; deep message iteration on scoped
-        # handles has its own draining pattern and isn't the goal of
-        # this test (which exercises subgraph discovery via
-        # child-namespace ``lifecycle: started``).
-        children.append({"path": child.path})
-    return children
-
-
-def _drain_subgraphs_sync(thread) -> list:
-    handles = list(thread.subgraphs)
-    children: list = []
-    for child in handles:
-        print(f"  child handle path={child.path}")
-        children.append({"path": child.path})
-    return children
-
-
-async def run_async() -> None:
-    threads, raw = make_async_client()
-    try:
-        header("async subgraphs / agent (plain StateGraph)")
-        async with threads.stream(assistant_id="agent") as thread:
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-            children = await _drain_subgraphs(thread)
-        print(f"  agent: total subgraph handles: {len(children)}")
-
-        header("async subgraphs / deep_agent (create_deep_agent + SubAgent)")
-        async with threads.stream(assistant_id="deep_agent") as thread:
-            await thread.run.start(
-                input={
-                    "messages": [{"role": "user", "content": "research the v3 spec"}]
-                },
-            )
-            children = await _drain_subgraphs(thread)
-        print(f"  deep_agent: total subgraph handles: {len(children)}")
-        assert children, "deep_agent should produce at least one direct-child handle"
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    threads, raw = make_sync_client()
-    try:
-        header("sync subgraphs / agent")
-        with threads.stream(assistant_id="agent") as thread:
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-            children = _drain_subgraphs_sync(thread)
-        print(f"  agent: total subgraph handles: {len(children)}")
-
-        header("sync subgraphs / deep_agent")
-        with threads.stream(assistant_id="deep_agent") as thread:
-            thread.run.start(
-                input={
-                    "messages": [{"role": "user", "content": "research the v3 spec"}]
-                },
-            )
-            children = _drain_subgraphs_sync(thread)
-        print(f"  deep_agent: total subgraph handles: {len(children)}")
-        assert children, "deep_agent should produce at least one direct-child handle"
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,96 +0,0 @@
-"""Exercise `thread.tool_calls` against the `tools_agent` graph.
-
-`tools_agent` (`graph/tools_agent.py`) wraps a
-`FakeMessagesListChatModel` in `create_agent` with a real `search`
-tool. The first scripted model turn returns an `AIMessage` with a
-`tool_calls=[search(query="v3")]`; langchain's tool node then executes
-`search` and surfaces a `ToolMessage`; the second turn returns a final
-`AIMessage("done.")` that terminates the agent.
-
-Compared to `test_tool_calls.py` (which targets the synthetic
-`streaming_graph` and never produces real tool-call telemetry), this
-test verifies the v3 ``tools`` channel actually fires when the
-canonical langchain-agent surface is in play.
-
-Pattern note: `thread.tool_calls` yields handles incrementally, but
-each handle's `deltas` and `output` are only completed when the
-*outer* iterator processes the matching `tool-finished` event. Drain
-the outer iterator to completion FIRST (via a list comprehension),
-then inspect handles -- this is the same pattern used in
-`tests/streaming/test_tool_calls_projection.py`. Iterating
-`handle.deltas` while the outer iterator is still suspended at its
-`yield` deadlocks.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import check_api_reachable, header, make_async_client, make_sync_client
-
-TOOLS_ASSISTANT_ID = "tools_agent"
-
-
-async def run_async() -> None:
-    header("async tools_agent tool_calls")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=TOOLS_ASSISTANT_ID) as thread:
-            await thread.run.start(
-                input={"messages": [{"role": "human", "content": "search for v3"}]}
-            )
-
-            # Drain the outer iterator first; lifecycle-terminal triggers
-            # the None sentinel via the shared SSE fanout once the run
-            # completes naturally.
-            handles = [h async for h in thread.tool_calls]
-            print(f"  total handles: {len(handles)}")
-            for handle in handles:
-                deltas = [d async for d in handle.deltas]
-                output = await handle.output
-                joined = "".join(deltas)
-                print(
-                    f"  tool {handle.name}({handle.tool_call_id}): "
-                    f"args_stream={joined!r} output={output!r}"
-                )
-            assert any(h.name == "search" for h in handles), (
-                "expected `search` tool call"
-            )
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync tools_agent tool_calls")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=TOOLS_ASSISTANT_ID) as thread:
-            thread.run.start(
-                input={"messages": [{"role": "human", "content": "search for v3"}]}
-            )
-
-            handles = list(thread.tool_calls)
-            print(f"  total handles: {len(handles)}")
-            for handle in handles:
-                deltas = list(handle.deltas)
-                output = handle.output
-                joined = "".join(deltas)
-                print(
-                    f"  tool {handle.name}({handle.tool_call_id}): "
-                    f"args_stream={joined!r} output={output!r}"
-                )
-            assert any(h.name == "search" for h in handles), (
-                "expected `search` tool call"
-            )
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,158 +0,0 @@
-"""Exercise `threads.update_state(...)` mid-run against the integration API.
-
-Flow:
-
-1. Stream the canonical graph; `run.start` with `value="init"`.
-2. Drain values until the interrupt fires at `ask_human`.
-3. Call `threads.update_state(thread_id, {"value": "patched"})` to mutate
-   the persisted state while the run is paused.
-4. Read state back via `threads.get_state(thread_id)` and assert
-   `state["values"]["value"] == "patched"`.
-
-Why no respond afterwards: in langgraph-api, `update_state` against an
-interrupted thread commits a new checkpoint that consumes the
-outstanding interrupt. A subsequent `run.respond(...)` then fails with
-`no_such_interrupt`. The meaningful integration invariant here is just
-that the REST mutation lands on the same persisted thread the streaming
-proxy was driving (no thread_id drift between client and server).
-"""
-
-from __future__ import annotations
-
-import asyncio
-import contextlib
-import time
-
-from _common import (
-    ASSISTANT_ID,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-from langgraph_sdk.errors import ConflictError
-
-_PATCHED_VALUE = "patched"
-_UPDATE_STATE_RETRY_BUDGET = 5.0
-
-
-async def _update_state_with_retry_async(threads, thread_id: str, values: dict) -> None:
-    """Retry update_state on ConflictError until the server's run row settles.
-
-    `thread.interrupted` flips when the client sees the `input.requested`
-    lifecycle event, which can land before the server commits the run row
-    to a non-busy state. Retry with backoff for a few seconds.
-    """
-    delay = 0.05
-    deadline = asyncio.get_running_loop().time() + _UPDATE_STATE_RETRY_BUDGET
-    last_err: Exception | None = None
-    while asyncio.get_running_loop().time() < deadline:
-        try:
-            await threads.update_state(thread_id, values)
-            return
-        except ConflictError as err:
-            last_err = err
-            await asyncio.sleep(delay)
-            delay = min(delay * 2, 0.5)
-    raise AssertionError(
-        f"update_state never accepted within {_UPDATE_STATE_RETRY_BUDGET}s: {last_err!r}"
-    )
-
-
-def _update_state_with_retry_sync(threads, thread_id: str, values: dict) -> None:
-    delay = 0.05
-    deadline = time.monotonic() + _UPDATE_STATE_RETRY_BUDGET
-    last_err: Exception | None = None
-    while time.monotonic() < deadline:
-        try:
-            threads.update_state(thread_id, values)
-            return
-        except ConflictError as err:
-            last_err = err
-            time.sleep(delay)
-            delay = min(delay * 2, 0.5)
-    raise AssertionError(
-        f"update_state never accepted within {_UPDATE_STATE_RETRY_BUDGET}s: {last_err!r}"
-    )
-
-
-async def run_async() -> None:
-    header("async update_state during interrupt")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            async for _ in thread.values:
-                if thread.interrupted:
-                    break
-            assert thread.interrupted, "expected interrupt before update_state"
-
-            pre_state = await threads.get_state(thread.thread_id)
-            pre_value = (pre_state.get("values") or {}).get("value")
-            print(f"  pre-update value={pre_value!r}")
-            # `stream_message` overwrites value="init" with value="x" before the
-            # interrupt; verify we're starting from the expected pre-update state.
-            assert pre_value == "x", f"unexpected pre-update value: {pre_value!r}"
-
-            await _update_state_with_retry_async(
-                threads, thread.thread_id, {"value": _PATCHED_VALUE}
-            )
-
-            post_state = await threads.get_state(thread.thread_id)
-            post_values = post_state.get("values") or {}
-            post_value = post_values.get("value")
-            print(f"  thread_id={thread.thread_id}")
-            print(f"  post-update value={post_value!r}")
-            assert post_value == _PATCHED_VALUE, (
-                f"update_state did not persist: value={post_value!r}"
-            )
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync update_state during interrupt")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            for _ in thread.values:
-                if thread.interrupted:
-                    break
-            assert thread.interrupted, "expected interrupt before update_state"
-
-            pre_state = threads.get_state(thread.thread_id)
-            pre_value = (pre_state.get("values") or {}).get("value")
-            print(f"  pre-update value={pre_value!r}")
-            # `stream_message` overwrites value="init" with value="x" before the
-            # interrupt; verify we're starting from the expected pre-update state.
-            assert pre_value == "x", f"unexpected pre-update value: {pre_value!r}"
-
-            _update_state_with_retry_sync(
-                threads, thread.thread_id, {"value": _PATCHED_VALUE}
-            )
-
-            post_state = threads.get_state(thread.thread_id)
-            post_values = post_state.get("values") or {}
-            post_value = post_values.get("value")
-            print(f"  thread_id={thread.thread_id}")
-            print(f"  post-update value={post_value!r}")
-            assert post_value == _PATCHED_VALUE, (
-                f"update_state did not persist: value={post_value!r}"
-            )
-    finally:
-        with contextlib.suppress(Exception):
-            raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,89 +0,0 @@
-"""Exercise `thread.values` against the integration API.
-
-The integration graph's `ask_human` node interrupts mid-run. The
-projection iterators (`thread.values`, `.messages`, `.tool_calls`,
-`.subgraphs`) do not terminate on interrupt — they're paused, waiting
-for more events. To drain the full run end-to-end we use a background
-auto-responder that watches `thread.interrupted` and calls
-`thread.run.respond(...)` so the run continues to the terminal.
-
-Run after `docker compose up -d` from `libs/sdk-py/integration/`:
-
-    uv run python integration/scripts/test_values.py
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import (
-    ASSISTANT_ID,
-    auto_respond_async,
-    auto_respond_sync,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-
-async def run_async() -> None:
-    header("async values")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            # Background task: respond to the interrupt so the iterator
-            # eventually sees terminal-completion events.
-            responder = auto_respond_async(thread)
-
-            snapshots: list[dict] = []
-            async for snap in thread.values:
-                snapshots.append(snap)
-                print(
-                    f"  values snapshot: items={snap.get('items')!r} value={snap.get('value')!r}"
-                )
-
-            await responder
-
-            final = await thread.output
-            print(f"  final output items={final.get('items')!r}")
-            assert "sub" in final.get("items", []), "expected subgraph to have run"
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync values")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(assistant_id=ASSISTANT_ID) as thread:
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            responder = auto_respond_sync(thread)
-
-            snapshots: list[dict] = []
-            for snap in thread.values:
-                snapshots.append(snap)
-                print(
-                    f"  values snapshot: items={snap.get('items')!r} value={snap.get('value')!r}"
-                )
-
-            responder.join(timeout=5)
-
-            final = thread.output
-            print(f"  final output items={final.get('items')!r}")
-            assert "sub" in final.get("items", []), "expected subgraph to have run"
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -1,92 +0,0 @@
-"""Exercise the WebSocket transport against the integration API.
-
-Equivalent to `test_values.py` but with `transport="websocket"`.
-"""
-
-from __future__ import annotations
-
-import asyncio
-
-from _common import (
-    ASSISTANT_ID,
-    auto_respond_async,
-    auto_respond_sync,
-    check_api_reachable,
-    header,
-    make_async_client,
-    make_sync_client,
-)
-
-
-async def run_async() -> None:
-    header("async websocket transport")
-    threads, raw = make_async_client()
-    try:
-        async with threads.stream(
-            assistant_id=ASSISTANT_ID,
-            transport="websocket",
-        ) as thread:
-            from langgraph_sdk.stream.transport import ProtocolWebSocketTransport
-
-            assert isinstance(thread._transport, ProtocolWebSocketTransport), (
-                f"expected ws transport, got {type(thread._transport).__name__}"
-            )
-
-            await thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            # The graph interrupts at `ask_human`; without a background
-            # responder the values iterator would pause indefinitely.
-            responder = auto_respond_async(thread)
-
-            snapshots: list[dict] = []
-            async for snap in thread.values:
-                snapshots.append(snap)
-                print(f"  ws values snapshot items={snap.get('items')!r}")
-
-            await responder
-
-            final = await thread.output
-            print(f"  final via ws: items={final.get('items')!r}")
-            assert "sub" in final.get("items", []), (
-                "expected subgraph to have run via ws transport"
-            )
-    finally:
-        await raw.aclose()
-
-
-def run_sync() -> None:
-    header("sync websocket transport")
-    threads, raw = make_sync_client()
-    try:
-        with threads.stream(
-            assistant_id=ASSISTANT_ID,
-            transport="websocket",
-        ) as thread:
-            thread.run.start(input={"messages": [], "value": "init", "items": []})
-
-            responder = auto_respond_sync(thread)
-
-            snapshots: list[dict] = []
-            for snap in thread.values:
-                snapshots.append(snap)
-                print(f"  ws values snapshot items={snap.get('items')!r}")
-
-            responder.join(timeout=5)
-
-            final = thread.output
-            print(f"  final via ws: items={final.get('items')!r}")
-            assert "sub" in final.get("items", []), (
-                "expected subgraph to have run via ws transport"
-            )
-    finally:
-        raw.close()
-
-
-def main() -> None:
-    check_api_reachable()
-    asyncio.run(run_async())
-    run_sync()
-
-
-if __name__ == "__main__":
-    main()
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
 from langgraph_sdk.encryption import Encryption
 from langgraph_sdk.encryption.types import EncryptionContext

-__version__ = "0.3.15"
+__version__ = "0.3.14"

 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
@@ -8,7 +8,6 @@ from typing import Any, Literal, cast, overload
 import httpx

 from langgraph_sdk._async.http import HttpClient
-from langgraph_sdk._shared.utilities import _quote_path_param
 from langgraph_sdk.schema import (
    Assistant,
    AssistantSelectField,
@@ -85,9 +84,7 @@ class AssistantsClient:
            ```
        """
        return await self.http.get(
-            f"/assistants/{_quote_path_param(assistant_id)}",
-            headers=headers,
-            params=params,
+            f"/assistants/{assistant_id}", headers=headers, params=params
        )

    async def get_graph(
@@ -145,9 +142,7 @@ class AssistantsClient:
            query_params.update(params)

        return await self.http.get(
-            f"/assistants/{_quote_path_param(assistant_id)}/graph",
-            params=query_params,
-            headers=headers,
+            f"/assistants/{assistant_id}/graph", params=query_params, headers=headers
        )

    async def get_schemas(
@@ -268,9 +263,7 @@ class AssistantsClient:

        """
        return await self.http.get(
-            f"/assistants/{_quote_path_param(assistant_id)}/schemas",
-            headers=headers,
-            params=params,
+            f"/assistants/{assistant_id}/schemas", headers=headers, params=params
        )

    async def get_subgraphs(
@@ -300,13 +293,13 @@ class AssistantsClient:
            get_params = {**get_params, **dict(params)}
        if namespace is not None:
            return await self.http.get(
-                f"/assistants/{_quote_path_param(assistant_id)}/subgraphs/{_quote_path_param(namespace)}",
+                f"/assistants/{assistant_id}/subgraphs/{namespace}",
                params=get_params,
                headers=headers,
            )
        else:
            return await self.http.get(
-                f"/assistants/{_quote_path_param(assistant_id)}/subgraphs",
+                f"/assistants/{assistant_id}/subgraphs",
                params=get_params,
                headers=headers,
            )
@@ -443,7 +436,7 @@ class AssistantsClient:
        if description:
            payload["description"] = description
        return await self.http.patch(
-            f"/assistants/{_quote_path_param(assistant_id)}",
+            f"/assistants/{assistant_id}",
            json=payload,
            headers=headers,
            params=params,
@@ -486,7 +479,7 @@ class AssistantsClient:
        if params:
            query_params.update(params)
        await self.http.delete(
-            f"/assistants/{_quote_path_param(assistant_id)}",
+            f"/assistants/{assistant_id}",
            headers=headers,
            params=query_params or None,
        )
@@ -693,7 +686,7 @@ class AssistantsClient:
        if metadata:
            payload["metadata"] = metadata
        return await self.http.post(
-            f"/assistants/{_quote_path_param(assistant_id)}/versions",
+            f"/assistants/{assistant_id}/versions",
            json=payload,
            headers=headers,
            params=params,
@@ -733,7 +726,7 @@ class AssistantsClient:
        payload: dict[str, Any] = {"version": version}

        return await self.http.post(
-            f"/assistants/{_quote_path_param(assistant_id)}/latest",
+            f"/assistants/{assistant_id}/latest",
            json=payload,
            headers=headers,
            params=params,
@@ -8,7 +8,7 @@ from datetime import datetime, tzinfo
 from typing import Any

 from langgraph_sdk._async.http import HttpClient
-from langgraph_sdk._shared.utilities import _quote_path_param, _resolve_timezone
+from langgraph_sdk._shared.utilities import _resolve_timezone
 from langgraph_sdk.schema import (
    All,
    Config,
@@ -18,7 +18,6 @@ from langgraph_sdk.schema import (
    CronSortBy,
    Durability,
    Input,
-    Json,
    OnCompletionBehavior,
    QueryParamTypes,
    Run,
@@ -166,7 +165,7 @@ class CronClient:
            payload["multitask_strategy"] = multitask_strategy
        payload = {k: v for k, v in payload.items() if v is not None}
        return await self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/runs/crons",
+            f"/threads/{thread_id}/runs/crons",
            json=payload,
            headers=headers,
            params=params,
@@ -315,9 +314,7 @@ class CronClient:
            ```

        """
-        await self.http.delete(
-            f"/runs/crons/{_quote_path_param(cron_id)}", headers=headers, params=params
-        )
+        await self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)

    async def update(
        self,
@@ -404,7 +401,7 @@ class CronClient:
        }
        payload = {k: v for k, v in payload.items() if v is not None}
        return await self.http.patch(
-            f"/runs/crons/{_quote_path_param(cron_id)}",
+            f"/runs/crons/{cron_id}",
            json=payload,
            headers=headers,
            params=params,
@@ -416,7 +413,6 @@ class CronClient:
        assistant_id: str | None = None,
        thread_id: str | None = None,
        enabled: bool | None = None,
-        metadata: Json = None,
        limit: int = 10,
        offset: int = 0,
        sort_by: CronSortBy | None = None,
@@ -431,8 +427,6 @@ class CronClient:
            assistant_id: The assistant ID or graph name to search for.
            thread_id: the thread ID to search for.
            enabled: The enabled status to search for.
-            metadata: Metadata to filter by. Exact match filter for each KV pair.
-                !!! version-added "Added in Agent Server version 0.9.0"
            limit: The maximum number of results to return.
            offset: The number of results to skip.
            headers: Optional custom headers to include with the request.
@@ -487,8 +481,6 @@ class CronClient:
            "limit": limit,
            "offset": offset,
        }
-        if metadata:
-            payload["metadata"] = metadata
        if sort_by:
            payload["sort_by"] = sort_by
        if sort_order:
@@ -505,7 +497,6 @@ class CronClient:
        *,
        assistant_id: str | None = None,
        thread_id: str | None = None,
-        metadata: Json = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
    ) -> int:
@@ -514,8 +505,6 @@ class CronClient:
        Args:
            assistant_id: Assistant ID to filter by.
            thread_id: Thread ID to filter by.
-            metadata: Metadata to filter by. Exact match filter for each KV pair.
-                !!! version-added "Added in Agent Server version 0.9.0"
            headers: Optional custom headers to include with the request.
            params: Optional query parameters to include with the request.

@@ -527,8 +516,6 @@ class CronClient:
            payload["assistant_id"] = assistant_id
        if thread_id:
            payload["thread_id"] = thread_id
-        if metadata:
-            payload["metadata"] = metadata
        return await self.http.post(
            "/runs/crons/count", json=payload, headers=headers, params=params
        )
@@ -12,7 +12,6 @@ import httpx
 from langgraph_sdk._async.http import HttpClient
 from langgraph_sdk._shared.utilities import (
    _get_run_metadata_from_response,
-    _quote_path_param,
    _sse_to_v2_dict,
 )
 from langgraph_sdk.schema import (
@@ -338,7 +337,7 @@ class RunsClient:
            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
-            f"/threads/{_quote_path_param(thread_id)}/runs/stream"
+            f"/threads/{thread_id}/runs/stream"
            if thread_id is not None
            else "/runs/stream"
        )
@@ -597,7 +596,7 @@ class RunsClient:
                on_run_created(metadata)

        return await self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/runs" if thread_id else "/runs",
+            f"/threads/{thread_id}/runs" if thread_id else "/runs",
            json=payload,
            params=params,
            headers=headers,
@@ -822,9 +821,7 @@ class RunsClient:
            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
-            f"/threads/{_quote_path_param(thread_id)}/runs/wait"
-            if thread_id is not None
-            else "/runs/wait"
+            f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
        )

        def on_response(res: httpx.Response):
@@ -898,9 +895,7 @@ class RunsClient:
        if params:
            query_params.update(params)
        return await self.http.get(
-            f"/threads/{_quote_path_param(thread_id)}/runs",
-            params=query_params,
-            headers=headers,
+            f"/threads/{thread_id}/runs", params=query_params, headers=headers
        )

    async def get(
@@ -935,9 +930,7 @@ class RunsClient:
        """

        return await self.http.get(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
        )

    async def cancel(
@@ -985,14 +978,14 @@ class RunsClient:
            query_params.update(params)
        if wait:
            return await self.http.request_reconnect(
-                f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
+                f"/threads/{thread_id}/runs/{run_id}/cancel",
                "POST",
                params=query_params,
                headers=headers,
            )
        else:
            return await self.http.post(
-                f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
+                f"/threads/{thread_id}/runs/{run_id}/cancel",
                json=None,
                params=query_params,
                headers=headers,
@@ -1088,7 +1081,7 @@ class RunsClient:

        """
        return await self.http.request_reconnect(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/join",
+            f"/threads/{thread_id}/runs/{run_id}/join",
            "GET",
            headers=headers,
            params=params,
@@ -1143,7 +1136,7 @@ class RunsClient:
        if params:
            query_params.update(params)
        return self.http.stream(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/stream",
+            f"/threads/{thread_id}/runs/{run_id}/stream",
            "GET",
            params=query_params,
            headers={
@@ -1184,7 +1177,5 @@ class RunsClient:

        """
        await self.http.delete(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
        )
@@ -2,13 +2,10 @@

 from __future__ import annotations

-import uuid
 from collections.abc import AsyncIterator, Mapping, Sequence
 from typing import Any, Literal, overload

 from langgraph_sdk._async.http import HttpClient
-from langgraph_sdk._async.stream import AsyncThreadStream
-from langgraph_sdk._shared.utilities import _quote_path_param
 from langgraph_sdk.schema import (
    Checkpoint,
    Json,
@@ -93,7 +90,7 @@ class ThreadsClient:
        if params:
            query_params.update(params)
        return await self.http.get(
-            f"/threads/{_quote_path_param(thread_id)}",
+            f"/threads/{thread_id}",
            headers=headers,
            params=query_params or None,
        )
@@ -257,7 +254,7 @@ class ThreadsClient:
        if return_minimal:
            request_headers["Prefer"] = "return=minimal"
        return await self.http.patch(
-            f"/threads/{_quote_path_param(thread_id)}",
+            f"/threads/{thread_id}",
            json=payload,
            headers=request_headers or None,
            params=params,
@@ -290,9 +287,7 @@ class ThreadsClient:
            ```

        """
-        await self.http.delete(
-            f"/threads/{_quote_path_param(thread_id)}", headers=headers, params=params
-        )
+        await self.http.delete(f"/threads/{thread_id}", headers=headers, params=params)

    async def search(
        self,
@@ -435,10 +430,7 @@ class ThreadsClient:

        """
        return await self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/copy",
-            json=None,
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/copy", json=None, headers=headers, params=params
        )

    async def prune(
@@ -594,7 +586,7 @@ class ThreadsClient:
        """
        if checkpoint:
            return await self.http.post(
-                f"/threads/{_quote_path_param(thread_id)}/state/checkpoint",
+                f"/threads/{thread_id}/state/checkpoint",
                json={"checkpoint": checkpoint, "subgraphs": subgraphs},
                headers=headers,
                params=params,
@@ -604,7 +596,7 @@ class ThreadsClient:
            if params:
                get_params = {**get_params, **dict(params)}
            return await self.http.get(
-                f"/threads/{_quote_path_param(thread_id)}/state/{_quote_path_param(checkpoint_id)}",
+                f"/threads/{thread_id}/state/{checkpoint_id}",
                params=get_params,
                headers=headers,
            )
@@ -613,7 +605,7 @@ class ThreadsClient:
            if params:
                get_params = {**get_params, **dict(params)}
            return await self.http.get(
-                f"/threads/{_quote_path_param(thread_id)}/state",
+                f"/threads/{thread_id}/state",
                params=get_params,
                headers=headers,
            )
@@ -678,10 +670,7 @@ class ThreadsClient:
        if as_node:
            payload["as_node"] = as_node
        return await self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/state",
-            json=payload,
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/state", json=payload, headers=headers, params=params
        )

    async def get_history(
@@ -730,58 +719,12 @@ class ThreadsClient:
        if checkpoint:
            payload["checkpoint"] = checkpoint
        return await self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/history",
+            f"/threads/{thread_id}/history",
            json=payload,
            headers=headers,
            params=params,
        )

-    def stream(
-        self,
-        thread_id: str | None = None,
-        *,
-        assistant_id: str,
-        headers: Mapping[str, str] | None = None,
-        run_start_timeout: float | None = None,
-        transport: Literal["sse", "websocket"] = "sse",
-    ) -> AsyncThreadStream:
-        """Open a v3 thread-centric streaming session.
-
-        When `thread_id` is None, a fresh UUIDv4 is minted client-side and
-        included in the URL of subsequent `POST /threads/{thread_id}/...`
-        calls. The server creates the thread row lazily on the first
-        `run.start` (internal server detail — the SDK does not send any
-        `if_not_exists` flag). The v3 protocol response carries only
-        `run_id`, never `thread_id` — that's why the SDK mints the id
-        client-side.
-
-        Args:
-            thread_id: optional explicit thread identifier. Defaults to a
-                fresh UUIDv4.
-            assistant_id: assistant the run will use. Required.
-            headers: optional headers forwarded on every command and event
-                request for this stream session.
-            run_start_timeout: optional seconds to wait for an in-flight
-                `run.start` before subscribing operations raise
-                `asyncio.TimeoutError`. Defaults to `None` (wait forever).
-            transport: event transport to use — `"sse"` (default) or
-                `"websocket"`.
-
-        Returns:
-            An `AsyncThreadStream` to use as an async context manager.
-        """
-        if transport not in ("sse", "websocket"):
-            raise ValueError("transport must be 'sse' or 'websocket'.")
-        return AsyncThreadStream(
-            http=self.http,
-            thread_id=thread_id if thread_id is not None else str(uuid.uuid4()),
-            assistant_id=assistant_id,
-            headers=headers,
-            run_start_timeout=run_start_timeout,
-            explicit_thread_id=thread_id is not None,
-            transport_kind=transport,
-        )
-
    async def join_stream(
        self,
        thread_id: str,
@@ -820,7 +763,7 @@ class ThreadsClient:
        if params:
            query_params.update(params)
        return self.http.stream(
-            f"/threads/{_quote_path_param(thread_id)}/stream",
+            f"/threads/{thread_id}/stream",
            "GET",
            headers={
                **({"Last-Event-ID": last_event_id} if last_event_id else {}),
@@ -8,7 +8,7 @@ import re
 from collections.abc import Mapping
 from datetime import tzinfo
 from typing import TYPE_CHECKING, Any, cast
-from urllib.parse import quote, urlparse
+from urllib.parse import urlparse

 import httpx

@@ -198,39 +198,6 @@ def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
    return {k: v for k, v in d.items() if v is not None}


-def _quote_path_param(value: Any) -> str:
-    """Encode a value for safe interpolation into a request path segment.
-
-    Path segments are encoded with ``safe=""`` so that ``/`` and other reserved
-    characters are escaped. Standalone dot-segments (``.`` and ``..``) are also
-    encoded because some URL-handling stacks (including ``httpx``) collapse
-    them client-side as relative-path traversal before transmission. The value
-    is coerced to ``str`` so callers can pass ``uuid.UUID`` and similar types
-    directly without changing call sites.
-
-    A properly formed identifier (for example, a standard UUID, which contains
-    no dots or reserved characters) round-trips through this function
-    unchanged.
-
-    Raises:
-        TypeError: If `value` is `None` or a `bytes`/`bytearray` instance.
-            Coercing those would produce misleading paths (e.g. `/threads/None`),
-            so surface the caller bug instead.
-    """
-    if value is None:
-        raise TypeError("path parameter must not be None")
-    if isinstance(value, (bytes, bytearray)):
-        raise TypeError("path parameter must not be bytes; pass a str or uuid.UUID")
-    quoted = quote(str(value), safe="")
-    # Bare "." or ".." (or any all-dot string) acts as a relative-path segment
-    # that some HTTP stacks (including ``httpx``) collapse client-side before
-    # transmission. Encode the dots so the segment becomes opaque to that
-    # logic. Mixed values like "agent.v1" are unaffected.
-    if quoted and all(c == "." for c in quoted):
-        quoted = "%2E" * len(quoted)
-    return quoted
-
-
 _registered_transports: list[httpx.ASGITransport] = []


@@ -7,7 +7,6 @@ from typing import Any, Literal, cast, overload

 import httpx

-from langgraph_sdk._shared.utilities import _quote_path_param
 from langgraph_sdk._sync.http import SyncHttpClient
 from langgraph_sdk.schema import (
    Assistant,
@@ -84,9 +83,7 @@ class SyncAssistantsClient:

        """
        return self.http.get(
-            f"/assistants/{_quote_path_param(assistant_id)}",
-            headers=headers,
-            params=params,
+            f"/assistants/{assistant_id}", headers=headers, params=params
        )

    def get_graph(
@@ -139,9 +136,7 @@ class SyncAssistantsClient:
        if params:
            query_params.update(params)
        return self.http.get(
-            f"/assistants/{_quote_path_param(assistant_id)}/graph",
-            params=query_params,
-            headers=headers,
+            f"/assistants/{assistant_id}/graph", params=query_params, headers=headers
        )

    def get_schemas(
@@ -274,9 +269,7 @@ class SyncAssistantsClient:

        """
        return self.http.get(
-            f"/assistants/{_quote_path_param(assistant_id)}/schemas",
-            headers=headers,
-            params=params,
+            f"/assistants/{assistant_id}/schemas", headers=headers, params=params
        )

    def get_subgraphs(
@@ -304,13 +297,13 @@ class SyncAssistantsClient:
            get_params = {**get_params, **dict(params)}
        if namespace is not None:
            return self.http.get(
-                f"/assistants/{_quote_path_param(assistant_id)}/subgraphs/{_quote_path_param(namespace)}",
+                f"/assistants/{assistant_id}/subgraphs/{namespace}",
                params=get_params,
                headers=headers,
            )
        else:
            return self.http.get(
-                f"/assistants/{_quote_path_param(assistant_id)}/subgraphs",
+                f"/assistants/{assistant_id}/subgraphs",
                params=get_params,
                headers=headers,
            )
@@ -445,7 +438,7 @@ class SyncAssistantsClient:
        if description:
            payload["description"] = description
        return self.http.patch(
-            f"/assistants/{_quote_path_param(assistant_id)}",
+            f"/assistants/{assistant_id}",
            json=payload,
            headers=headers,
            params=params,
@@ -488,7 +481,7 @@ class SyncAssistantsClient:
        if params:
            query_params.update(params)
        self.http.delete(
-            f"/assistants/{_quote_path_param(assistant_id)}",
+            f"/assistants/{assistant_id}",
            headers=headers,
            params=query_params or None,
        )
@@ -692,7 +685,7 @@ class SyncAssistantsClient:
        if metadata:
            payload["metadata"] = metadata
        return self.http.post(
-            f"/assistants/{_quote_path_param(assistant_id)}/versions",
+            f"/assistants/{assistant_id}/versions",
            json=payload,
            headers=headers,
            params=params,
@@ -731,7 +724,7 @@ class SyncAssistantsClient:
        payload: dict[str, Any] = {"version": version}

        return self.http.post(
-            f"/assistants/{_quote_path_param(assistant_id)}/latest",
+            f"/assistants/{assistant_id}/latest",
            json=payload,
            headers=headers,
            params=params,
@@ -7,7 +7,7 @@ from collections.abc import Mapping, Sequence
 from datetime import datetime, tzinfo
 from typing import Any

-from langgraph_sdk._shared.utilities import _quote_path_param, _resolve_timezone
+from langgraph_sdk._shared.utilities import _resolve_timezone
 from langgraph_sdk._sync.http import SyncHttpClient
 from langgraph_sdk.schema import (
    All,
@@ -18,7 +18,6 @@ from langgraph_sdk.schema import (
    CronSortBy,
    Durability,
    Input,
-    Json,
    OnCompletionBehavior,
    QueryParamTypes,
    Run,
@@ -156,7 +155,7 @@ class SyncCronClient:
        }
        payload = {k: v for k, v in payload.items() if v is not None}
        return self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/runs/crons",
+            f"/threads/{thread_id}/runs/crons",
            json=payload,
            headers=headers,
            params=params,
@@ -304,9 +303,7 @@ class SyncCronClient:
            ```

        """
-        self.http.delete(
-            f"/runs/crons/{_quote_path_param(cron_id)}", headers=headers, params=params
-        )
+        self.http.delete(f"/runs/crons/{cron_id}", headers=headers, params=params)

    def update(
        self,
@@ -393,7 +390,7 @@ class SyncCronClient:
        }
        payload = {k: v for k, v in payload.items() if v is not None}
        return self.http.patch(
-            f"/runs/crons/{_quote_path_param(cron_id)}",
+            f"/runs/crons/{cron_id}",
            json=payload,
            headers=headers,
            params=params,
@@ -405,7 +402,6 @@ class SyncCronClient:
        assistant_id: str | None = None,
        thread_id: str | None = None,
        enabled: bool | None = None,
-        metadata: Json = None,
        limit: int = 10,
        offset: int = 0,
        sort_by: CronSortBy | None = None,
@@ -420,8 +416,6 @@ class SyncCronClient:
            assistant_id: The assistant ID or graph name to search for.
            thread_id: the thread ID to search for.
            enabled: Whether the cron job is enabled.
-            metadata: Metadata to filter by. Exact match filter for each KV pair.
-                !!! version-added "Added in Agent Server version 0.9.0"
            limit: The maximum number of results to return.
            offset: The number of results to skip.
            headers: Optional custom headers to include with the request.
@@ -474,8 +468,6 @@ class SyncCronClient:
            "limit": limit,
            "offset": offset,
        }
-        if metadata:
-            payload["metadata"] = metadata
        if sort_by:
            payload["sort_by"] = sort_by
        if sort_order:
@@ -492,7 +484,6 @@ class SyncCronClient:
        *,
        assistant_id: str | None = None,
        thread_id: str | None = None,
-        metadata: Json = None,
        headers: Mapping[str, str] | None = None,
        params: QueryParamTypes | None = None,
    ) -> int:
@@ -501,8 +492,6 @@ class SyncCronClient:
        Args:
            assistant_id: Assistant ID to filter by.
            thread_id: Thread ID to filter by.
-            metadata: Metadata to filter by. Exact match filter for each KV pair.
-                !!! version-added "Added in Agent Server version 0.9.0"
            headers: Optional custom headers to include with the request.
            params: Optional query parameters to include with the request.

@@ -514,8 +503,6 @@ class SyncCronClient:
            payload["assistant_id"] = assistant_id
        if thread_id:
            payload["thread_id"] = thread_id
-        if metadata:
-            payload["metadata"] = metadata
        return self.http.post(
            "/runs/crons/count", json=payload, headers=headers, params=params
        )
@@ -11,7 +11,6 @@ import httpx

 from langgraph_sdk._shared.utilities import (
    _get_run_metadata_from_response,
-    _quote_path_param,
    _sse_to_v2_dict,
 )
 from langgraph_sdk._sync.http import SyncHttpClient
@@ -333,7 +332,7 @@ class SyncRunsClient:
            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
-            f"/threads/{_quote_path_param(thread_id)}/runs/stream"
+            f"/threads/{thread_id}/runs/stream"
            if thread_id is not None
            else "/runs/stream"
        )
@@ -592,7 +591,7 @@ class SyncRunsClient:
                on_run_created(metadata)

        return self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/runs" if thread_id else "/runs",
+            f"/threads/{thread_id}/runs" if thread_id else "/runs",
            json=payload,
            params=params,
            headers=headers,
@@ -826,9 +825,7 @@ class SyncRunsClient:
                on_run_created(metadata)

        endpoint = (
-            f"/threads/{_quote_path_param(thread_id)}/runs/wait"
-            if thread_id is not None
-            else "/runs/wait"
+            f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
        )
        return self.http.request_reconnect(
            endpoint,
@@ -882,9 +879,7 @@ class SyncRunsClient:
        if params:
            query_params.update(params)
        return self.http.get(
-            f"/threads/{_quote_path_param(thread_id)}/runs",
-            params=query_params,
-            headers=headers,
+            f"/threads/{thread_id}/runs", params=query_params, headers=headers
        )

    def get(
@@ -917,9 +912,7 @@ class SyncRunsClient:
        """

        return self.http.get(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
        )

    def cancel(
@@ -967,14 +960,14 @@ class SyncRunsClient:
            query_params.update(params)
        if wait:
            return self.http.request_reconnect(
-                f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
+                f"/threads/{thread_id}/runs/{run_id}/cancel",
                "POST",
                json=None,
                params=query_params,
                headers=headers,
            )
        return self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/cancel",
+            f"/threads/{thread_id}/runs/{run_id}/cancel",
            json=None,
            params=query_params,
            headers=headers,
@@ -1070,7 +1063,7 @@ class SyncRunsClient:

        """
        return self.http.request_reconnect(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/join",
+            f"/threads/{thread_id}/runs/{run_id}/join",
            "GET",
            headers=headers,
            params=params,
@@ -1124,7 +1117,7 @@ class SyncRunsClient:
        if params:
            query_params.update(params)
        return self.http.stream(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}/stream",
+            f"/threads/{thread_id}/runs/{run_id}/stream",
            "GET",
            params=query_params,
            headers={
@@ -1165,7 +1158,5 @@ class SyncRunsClient:

        """
        self.http.delete(
-            f"/threads/{_quote_path_param(thread_id)}/runs/{_quote_path_param(run_id)}",
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/runs/{run_id}", headers=headers, params=params
        )
@@ -2,13 +2,10 @@

 from __future__ import annotations

-import uuid
 from collections.abc import Iterator, Mapping, Sequence
 from typing import Any, Literal, overload

-from langgraph_sdk._shared.utilities import _quote_path_param
 from langgraph_sdk._sync.http import SyncHttpClient
-from langgraph_sdk._sync.stream import SyncThreadStream
 from langgraph_sdk.schema import (
    Checkpoint,
    Json,
@@ -91,7 +88,7 @@ class SyncThreadsClient:
        if params:
            query_params.update(params)
        return self.http.get(
-            f"/threads/{_quote_path_param(thread_id)}",
+            f"/threads/{thread_id}",
            headers=headers,
            params=query_params or None,
        )
@@ -253,7 +250,7 @@ class SyncThreadsClient:
        if return_minimal:
            request_headers["Prefer"] = "return=minimal"
        return self.http.patch(
-            f"/threads/{_quote_path_param(thread_id)}",
+            f"/threads/{thread_id}",
            json=payload,
            headers=request_headers or None,
            params=params,
@@ -285,9 +282,7 @@ class SyncThreadsClient:
            ```

        """
-        self.http.delete(
-            f"/threads/{_quote_path_param(thread_id)}", headers=headers, params=params
-        )
+        self.http.delete(f"/threads/{thread_id}", headers=headers, params=params)

    def search(
        self,
@@ -426,10 +421,7 @@ class SyncThreadsClient:

        """
        return self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/copy",
-            json=None,
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/copy", json=None, headers=headers, params=params
        )

    def prune(
@@ -584,7 +576,7 @@ class SyncThreadsClient:
        """
        if checkpoint:
            return self.http.post(
-                f"/threads/{_quote_path_param(thread_id)}/state/checkpoint",
+                f"/threads/{thread_id}/state/checkpoint",
                json={"checkpoint": checkpoint, "subgraphs": subgraphs},
                headers=headers,
                params=params,
@@ -594,7 +586,7 @@ class SyncThreadsClient:
            if params:
                get_params = {**get_params, **dict(params)}
            return self.http.get(
-                f"/threads/{_quote_path_param(thread_id)}/state/{_quote_path_param(checkpoint_id)}",
+                f"/threads/{thread_id}/state/{checkpoint_id}",
                params=get_params,
                headers=headers,
            )
@@ -603,7 +595,7 @@ class SyncThreadsClient:
            if params:
                get_params = {**get_params, **dict(params)}
            return self.http.get(
-                f"/threads/{_quote_path_param(thread_id)}/state",
+                f"/threads/{thread_id}/state",
                params=get_params,
                headers=headers,
            )
@@ -665,10 +657,7 @@ class SyncThreadsClient:
        if as_node:
            payload["as_node"] = as_node
        return self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/state",
-            json=payload,
-            headers=headers,
-            params=params,
+            f"/threads/{thread_id}/state", json=payload, headers=headers, params=params
        )

    def get_history(
@@ -718,47 +707,12 @@ class SyncThreadsClient:
        if checkpoint:
            payload["checkpoint"] = checkpoint
        return self.http.post(
-            f"/threads/{_quote_path_param(thread_id)}/history",
+            f"/threads/{thread_id}/history",
            json=payload,
            headers=headers,
            params=params,
        )

-    def stream(
-        self,
-        thread_id: str | None = None,
-        *,
-        assistant_id: str,
-        headers: Mapping[str, str] | None = None,
-        run_start_timeout: float | None = None,
-        transport: Literal["sse", "websocket"] = "sse",
-    ) -> SyncThreadStream:
-        """Open a v3 thread-centric streaming session.
-
-        Args:
-            thread_id: optional explicit thread identifier. Defaults to a
-                fresh UUIDv4.
-            assistant_id: assistant the run will use. Required.
-            headers: optional headers forwarded on every command and SSE
-                request for this stream session.
-            transport: event transport to use, `"sse"` (default) or
-                `"websocket"`.
-
-        Returns:
-            A `SyncThreadStream` to use as a context manager.
-        """
-        if transport not in ("sse", "websocket"):
-            raise ValueError("transport must be 'sse' or 'websocket'.")
-        return SyncThreadStream(
-            http=self.http,
-            thread_id=thread_id if thread_id is not None else str(uuid.uuid4()),
-            assistant_id=assistant_id,
-            headers=headers,
-            run_start_timeout=run_start_timeout,
-            explicit_thread_id=thread_id is not None,
-            transport_kind=transport,
-        )
-
    def join_stream(
        self,
        thread_id: str,
@@ -798,7 +752,7 @@ class SyncThreadsClient:
        if params:
            query_params.update(params)
        return self.http.stream(
-            f"/threads/{_quote_path_param(thread_id)}/stream",
+            f"/threads/{thread_id}/stream",
            "GET",
            headers={
                **({"Last-Event-ID": last_event_id} if last_event_id else {}),
@@ -1,15 +0,0 @@
-"""Stream module for LangGraph SDK v3."""
-
-from langchain_protocol import (
-    Channel,
-    Event,
-    Namespace,
-    SubscribeParams,
-)
-
-__all__ = [
-    "Channel",
-    "Event",
-    "Namespace",
-    "SubscribeParams",
-]
@@ -1,398 +0,0 @@
-"""Stream controller: subscription registry and fan-out for AsyncThreadStream.
-
-`StreamController` manages the set of active subscriptions against one shared
-SSE connection, routing events from the shared stream to per-subscription
-queues.  It is the centralised place for:
-
- subscription registration / teardown
- shared-stream lifecycle (open, rotate, close)
- dedup of replayed events across rotations
- fan-out from the shared stream to subscriber queues
-"""
-
-from __future__ import annotations
-
-import asyncio
-import contextlib
-import logging
-import random
-from collections import OrderedDict
-from collections.abc import AsyncGenerator, AsyncIterator, Awaitable, Callable
-from dataclasses import dataclass, field
-from typing import Any
-
-from langchain_protocol import Event, SubscribeParams
-
-from langgraph_sdk.stream.transport import AsyncProtocolTransport, EventStreamHandle
-
-# ---------------------------------------------------------------------------
-# Bounded LRU set for event-id dedup
-# ---------------------------------------------------------------------------
-
-
-class _SeenEventIds:
-    """LRU set of event ids with bounded memory."""
-
-    __slots__ = ("_data", "_maxsize")
-
-    def __init__(self, maxsize: int = 10_000) -> None:
-        self._data: OrderedDict[str, None] = OrderedDict()
-        self._maxsize = maxsize
-
-    def add(self, event_id: str) -> None:
-        if event_id in self._data:
-            self._data.move_to_end(event_id)
-            return
-        self._data[event_id] = None
-        if len(self._data) > self._maxsize:
-            self._data.popitem(last=False)
-
-    def __contains__(self, event_id: object) -> bool:
-        return event_id in self._data
-
-    def __iter__(self):
-        return iter(self._data)
-
-
-# ---------------------------------------------------------------------------
-# Per-subscription record
-# ---------------------------------------------------------------------------
-
-_logger = logging.getLogger(__name__)
-
-
-@dataclass
-class _Subscription:
-    """Internal record for one active subscription on a `StreamController`."""
-
-    id: int
-    params: SubscribeParams
-    queue: asyncio.Queue = field(default_factory=asyncio.Queue)
-    # Why: asyncio.Queue[Event | None] as a subscript in the field annotation
-    # causes a type error with ty; bare asyncio.Queue is accepted.
-
-
-# ---------------------------------------------------------------------------
-# Rotation close helper
-# ---------------------------------------------------------------------------
-
-
-async def _close_after(handle: EventStreamHandle, *, delay: float = 0.0) -> None:
-    """Close a handle, optionally after a brief delay.
-
-    Used to detach closing the old stream from the synchronous rotation step
-    so the new stream can absorb server-side replayed events first.
-    """
-    if delay:
-        await asyncio.sleep(delay)
-    await handle.close()
-
-
-# ---------------------------------------------------------------------------
-# StreamController
-# ---------------------------------------------------------------------------
-
-
-class StreamController:
-    """Manages subscriptions and fan-out against one shared SSE connection.
-
-    Responsibilities:
-      - subscription registry (register / unregister)
-      - shared-stream lifecycle (open on first subscribe, rotate on filter widen)
-      - dedup of replayed events via a bounded LRU `_SeenEventIds`
-      - fan-out from the shared stream to per-subscription queues
-
-    Args:
-        transport: the `AsyncProtocolTransport` bound to this thread session.
-        run_start_gate: zero-argument async callable that resolves once the
-            current `run.start` has committed server-side (no-op when no
-            run is in flight).
-        max_queue_size: per-subscription queue bound (default 1024).
-        seen_event_ids_max: LRU cap for the dedup set (default 10_000).
-    """
-
-    def __init__(
-        self,
-        *,
-        transport: AsyncProtocolTransport,
-        run_start_gate: Callable[[], Awaitable[None]] | None = None,  # noqa: ARG002
-        max_queue_size: int = 1024,
-        seen_event_ids_max: int = 10_000,
-        max_reconnect_attempts: int = 5,
-        reconnect_backoff_base: float = 0.1,
-        reconnect_backoff_cap: float = 2.0,
-    ) -> None:
-        self._transport = transport
-        self._max_queue_size = max_queue_size
-        self._seen_event_ids = _SeenEventIds(maxsize=seen_event_ids_max)
-        self._next_subscription_id = 1
-        self._subscriptions: dict[int, _Subscription] = {}
-        self._shared_stream: EventStreamHandle | None = None
-        self._shared_stream_filter: dict[str, Any] | None = None
-        self._fanout_task: asyncio.Task[None] | None = None
-        self._rotation_close_tasks: set[asyncio.Task[None]] = set()
-        self._closed = False
-        self._cursor: int | None = None
-        self._max_reconnect_attempts = max_reconnect_attempts
-        self._reconnect_backoff_base = reconnect_backoff_base
-        self._reconnect_backoff_cap = reconnect_backoff_cap
-
-    # ------------------------------------------------------------------
-    # Public API
-    # ------------------------------------------------------------------
-
-    def subscribe(
-        self,
-        channels: list[str],
-        *,
-        namespaces: list[list[str]] | None = None,
-        depth: int | None = None,
-    ) -> AsyncIterator[Event]:
-        """Open a typed subscription against the shared SSE.
-
-        Returns an async iterator that yields raw `Event` dicts matching the
-        given filter. Multiple concurrent subscribes share one HTTP connection
-        whose union expands or rotates as subscriptions come and go.
-        """
-        params: SubscribeParams = {"channels": list(channels)}
-        if namespaces is not None:
-            params["namespaces"] = namespaces
-        if depth is not None:
-            params["depth"] = depth
-        return self._subscription_iter(params)
-
-    async def close(self) -> None:
-        """Tear down the controller, awaiting any pending rotation closes."""
-        if self._closed:
-            return
-        self._closed = True
-        if self._fanout_task is not None:
-            self._fanout_task.cancel()
-            with contextlib.suppress(Exception, asyncio.CancelledError):
-                await self._fanout_task
-        if self._shared_stream is not None:
-            await self._shared_stream.close()
-        if self._rotation_close_tasks:
-            await asyncio.gather(*self._rotation_close_tasks, return_exceptions=True)
-
-    # ------------------------------------------------------------------
-    # Subscription internals
-    # ------------------------------------------------------------------
-
-    def _register_subscription(self, params: SubscribeParams) -> _Subscription:
-        """Allocate a subscription id, create a bounded queue, add to registry."""
-        sub = _Subscription(
-            id=self._next_subscription_id,
-            params=params,
-            queue=asyncio.Queue(maxsize=self._max_queue_size),
-        )
-        self._next_subscription_id += 1
-        self._subscriptions[sub.id] = sub
-        return sub
-
-    def _unregister_subscription(self, subscription_id: int) -> None:
-        """Remove a subscription from the registry. No-op if already absent."""
-        self._subscriptions.pop(subscription_id, None)
-
-    # Public aliases used by tests and external callers.
-    register_subscription = _register_subscription
-    unregister_subscription = _unregister_subscription
-
-    async def _subscription_iter(
-        self, params: SubscribeParams
-    ) -> AsyncGenerator[Event, None]:
-        sub = self._register_subscription(params)
-        try:
-            if self._closed:
-                return
-            await self._reconcile_stream(params)
-            self._ensure_fanout_running()
-            while True:
-                item = await sub.queue.get()
-                if item is None:
-                    return
-                yield item
-        finally:
-            self._unregister_subscription(sub.id)
-
-    # ------------------------------------------------------------------
-    # Fan-out
-    # ------------------------------------------------------------------
-
-    def _ensure_fanout_running(self) -> None:
-        if self._fanout_task is None or self._fanout_task.done():
-            self._fanout_task = asyncio.create_task(self._fanout())
-
-    # Public alias.
-    ensure_fanout_running = _ensure_fanout_running
-
-    async def _fanout(self) -> None:
-        """Single consumer of the shared SSE; routes events to subscriptions.
-
-        Why: rotation in `_reconcile_stream` replaces `_shared_stream` mid-loop.
-        Re-read `self._shared_stream` on each outer iteration so we always
-        consume from the current handle. The old handle's iterator exhausts
-        naturally after `_close_after` closes it.
-
-        On a post-ready transport drop (non-cancelled error in `shared.done`),
-        attempts to reconnect up to `_max_reconnect_attempts` times before
-        giving up and closing subscriber queues.
-        """
-        from langgraph_sdk.stream.subscription import matches_subscription
-
-        while not self._closed:
-            shared = self._shared_stream
-            if shared is None:
-                return
-            try:
-                async for event in self._dedup_iter(shared.events):
-                    if self._closed:
-                        break
-                    for sub in list(self._subscriptions.values()):
-                        if matches_subscription(event, sub.params):
-                            sub.queue.put_nowait(event)
-            except Exception as drop_err:
-                _logger.debug("transport drop in fanout: %r", drop_err)
-
-            if self._shared_stream is shared:
-                err = await shared.done
-                if (
-                    err is not None
-                    and not isinstance(err, asyncio.CancelledError)
-                    and not self._closed
-                ):
-                    with contextlib.suppress(Exception):
-                        await self._shared_stream.close()
-                    reconnected = await self._reconnect_shared_stream()
-                    if reconnected:
-                        continue
-                break
-            # Rotation: loop again to pick up the new _shared_stream.
-
-        # Terminate consumers cleanly on shutdown / stream-end.
-        for sub in self._subscriptions.values():
-            sub.queue.put_nowait(None)
-
-    async def _reconnect_sleep(self, attempt: int) -> None:
-        """Sleep with exponential backoff and jitter for reconnect attempt *attempt*."""
-        base = self._reconnect_backoff_base
-        cap = self._reconnect_backoff_cap
-        delay = min(cap, base * (2**attempt))
-        jitter = random.uniform(0, delay * 0.25)
-        await asyncio.sleep(delay + jitter)
-
-    async def _reconnect_shared_stream(self) -> bool:
-        """Attempt to reopen the shared stream after a transport drop.
-
-        Returns True if a new stream was successfully opened, False if all
-        reconnect attempts were exhausted or the controller was closed.
-        """
-        # We intentionally use the *current* shared_stream_filter (the latest
-        # computed union of all live subscriptions), not the filter that was
-        # active when this stream was originally opened. If subscriptions were
-        # added or removed during the drop window, the reconnect picks up the
-        # new shape.
-        base_filter = self._shared_stream_filter
-        if base_filter is None:
-            return False
-        for attempt in range(self._max_reconnect_attempts):
-            if self._closed:
-                return False
-            try:
-                new_stream = self._transport.open_event_stream(
-                    self._filter_with_since(base_filter)
-                )
-                await new_stream.ready
-            except asyncio.CancelledError:
-                raise
-            except Exception:
-                await self._reconnect_sleep(attempt)
-                continue
-            self._shared_stream = new_stream
-            return True
-        return False
-
-    # ------------------------------------------------------------------
-    # Stream rotation
-    # ------------------------------------------------------------------
-
-    async def _reconcile_stream(self, candidate_filter: SubscribeParams) -> None:
-        """Ensure the shared SSE covers `candidate_filter`. Rotate if not.
-
-        Open-new-before-close-old: any events buffered server-side between
-        the two opens are replayed on the new SSE, and `_seen_event_ids`
-        dedupes the overlap. Awaits `new_stream.ready` so the HTTP connection
-        is established before returning.
-        """
-        from langgraph_sdk.stream.subscription import filter_covers
-
-        if (
-            self._shared_stream is not None
-            and self._shared_stream_filter is not None
-            and filter_covers(self._shared_stream_filter, dict(candidate_filter))
-        ):
-            return  # Existing stream is sufficient.
-
-        new_filter = self._compute_current_union(extra=candidate_filter)
-        new_stream = self._transport.open_event_stream(
-            self._filter_with_since(new_filter)
-        )
-        old_stream = self._shared_stream
-        self._shared_stream = new_stream
-        self._shared_stream_filter = new_filter
-        await new_stream.ready
-        if old_stream is not None:
-            task = asyncio.create_task(_close_after(old_stream))
-            self._rotation_close_tasks.add(task)
-            task.add_done_callback(self._rotation_close_tasks.discard)
-
-    async def reconcile_stream(self, candidate_filter: SubscribeParams) -> None:
-        """Public alias for `_reconcile_stream`."""
-        return await self._reconcile_stream(candidate_filter)
-
-    def _compute_current_union(
-        self, extra: SubscribeParams | None = None
-    ) -> dict[str, Any]:
-        from langgraph_sdk.stream.subscription import compute_union_filter
-
-        filters: list[dict[str, Any]] = [
-            dict(sub.params) for sub in self._subscriptions.values()
-        ]
-        if extra is not None:
-            filters.append(dict(extra))
-        return compute_union_filter(filters)
-
-    # ------------------------------------------------------------------
-    # Cursor tracking
-    # ------------------------------------------------------------------
-
-    def observe_applied_through_seq(self, seq: Any) -> None:
-        """Advance the reconnect cursor from a command response meta sequence."""
-        self._observe_seq(seq)
-
-    def _observe_event(self, event: Event) -> None:
-        self._observe_seq(event.get("seq"))
-
-    def _observe_seq(self, seq: Any) -> None:
-        if isinstance(seq, int) and (self._cursor is None or seq > self._cursor):
-            self._cursor = seq
-
-    def _filter_with_since(self, params: dict[str, Any]) -> dict[str, Any]:
-        out = dict(params)
-        if self._cursor is not None:
-            out["since"] = self._cursor
-        return out
-
-    # ------------------------------------------------------------------
-    # Dedup iterator
-    # ------------------------------------------------------------------
-
-    async def _dedup_iter(self, source: AsyncIterator[Event]) -> AsyncIterator[Event]:
-        async for event in source:
-            event_id = event.get("event_id")
-            if event_id is not None:
-                if event_id in self._seen_event_ids:
-                    continue
-                self._seen_event_ids.add(event_id)
-            self._observe_event(event)
-            yield event
@@ -1,71 +0,0 @@
-"""Unbounded async-iterable append-only log with per-iterator cursors.
-
-Direct port of `libs/sdk/src/client/stream/multi-cursor-buffer.ts`. Each
-`async for` loop gets its own cursor starting at position 0, so late
-consumers still see all previously buffered items. Lifetime is bounded by
-the owning projection / handle; there is no eviction policy.
-"""
-
-from __future__ import annotations
-
-import asyncio
-from collections.abc import AsyncIterable, AsyncIterator
-from typing import Generic, TypeVar
-
-T = TypeVar("T")
-
-
-class MultiCursorBuffer(AsyncIterable[T], Generic[T]):
-    def __init__(self) -> None:
-        self._items: list[T] = []
-        self._wakeups: set[asyncio.Future[None]] = set()
-        self._closed = False
-
-    def push(self, item: T) -> None:
-        # Post-close pushes are accepted: cursors already terminated miss the item,
-        # but new cursors started later see the full log including it. Matches JS.
-        self._items.append(item)
-        self._wake_all()
-
-    def close(self) -> None:
-        if self._closed:
-            return
-        self._closed = True
-        self._wake_all()
-
-    def __len__(self) -> int:
-        return len(self._items)
-
-    def __aiter__(self) -> AsyncIterator[T]:
-        return _Cursor(self)
-
-    def _wake_all(self) -> None:
-        for fut in self._wakeups:
-            if not fut.done():
-                fut.set_result(None)
-        self._wakeups.clear()
-
-
-class _Cursor(Generic[T]):
-    def __init__(self, buffer: MultiCursorBuffer[T]) -> None:
-        self._buffer = buffer
-        self._idx = 0
-
-    def __aiter__(self) -> _Cursor[T]:
-        return self
-
-    async def __anext__(self) -> T:
-        while True:
-            if self._idx < len(self._buffer._items):
-                item = self._buffer._items[self._idx]
-                self._idx += 1
-                return item
-            if self._buffer._closed:
-                raise StopAsyncIteration
-            loop = asyncio.get_running_loop()
-            fut: asyncio.Future[None] = loop.create_future()
-            self._buffer._wakeups.add(fut)
-            try:
-                await fut
-            finally:
-                self._buffer._wakeups.discard(fut)
@@ -1,208 +0,0 @@
-"""Subscription matching: channel inference + namespace prefix filtering.
-
-Direct port of `libs/sdk/src/client/stream/subscription.ts` from the JS SDK.
-"""
-
-from __future__ import annotations
-
-from typing import Any
-
-from langchain_protocol import Channel, Event, Namespace, SubscribeParams
-
-
-def normalize_segment(segment: str) -> str:
-    """Strip the dynamic suffix after `:` from a namespace segment."""
-    idx = segment.find(":")
-    return segment if idx == -1 else segment[:idx]
-
-
-def is_prefix_match(event_namespace: Namespace, prefix: Namespace) -> bool:
-    """Whether `event_namespace` starts with `prefix`.
-
-    Segments compare literally first; if the prefix segment contains no `:`,
-    the candidate is also compared after its dynamic suffix is stripped.
-    Mirrors `is_prefix_match` in `api/langgraph_api/protocol/namespace.py`.
-    """
-    if len(prefix) > len(event_namespace):
-        return False
-    for seg, candidate in zip(prefix, event_namespace, strict=False):
-        if candidate == seg:
-            continue
-        if ":" in seg:
-            return False
-        if normalize_segment(candidate) == seg:
-            continue
-        return False
-    return True
-
-
-def namespace_matches(
-    event_namespace: Namespace,
-    prefixes: list[Namespace] | None,
-    depth: int | None,
-) -> bool:
-    """Whether `event_namespace` matches any of `prefixes` within `depth`."""
-    if not prefixes:
-        return True
-    for prefix in prefixes:
-        if not is_prefix_match(event_namespace, prefix):
-            continue
-        if depth is None:
-            return True
-        if len(event_namespace) - len(prefix) <= depth:
-            return True
-    return False
-
-
-_DIRECT_METHODS = {
-    "values",
-    "checkpoints",
-    "updates",
-    "messages",
-    "tools",
-    "lifecycle",
-    "tasks",
-}
-
-
-def infer_channel(event: Event) -> Channel | None:
-    """Map a protocol event's `method` to its subscription channel.
-
-    Returns `None` for unrecognized methods so new server-side channels (e.g.
-    from extension transformers) don't break existing clients.
-    """
-    method = event.get("method")
-    if method in _DIRECT_METHODS:
-        return method  # type: ignore[return-value]
-    if method == "custom":
-        params = event.get("params") or {}
-        data = params.get("data") if isinstance(params, dict) else None
-        name = data.get("name") if isinstance(data, dict) else None
-        # JS uses != null; truthiness here treats name="" the same as missing.
-        return f"custom:{name}" if name else "custom"
-    if method == "input.requested":
-        return "input"
-    return None
-
-
-def matches_subscription(event: Event, definition: SubscribeParams) -> bool:
-    """Whether `event` should be delivered for `definition`."""
-    channel = infer_channel(event)
-    if channel is None:
-        return False
-    channels = definition.get("channels", [])
-    if channel not in channels and not (
-        channel.startswith("custom:") and "custom" in channels
-    ):
-        return False
-    params = event.get("params") or {}
-    namespace = params.get("namespace", []) if isinstance(params, dict) else []
-    return namespace_matches(
-        namespace,
-        definition.get("namespaces"),
-        definition.get("depth"),
-    )
-
-
-def compute_union_filter(
-    subscriptions: list[dict[str, Any]],
-) -> dict[str, Any]:
-    """Aggregate a set of subscription filters into one covering filter.
-
-    Direct port of `client/stream/index.ts:#computeUnionFilter`.
-
-    - Channels are unioned.
-    - Namespaces: if any subscription omits `namespaces` (wildcard), the union
-      is unscoped (omits the key). Otherwise, deduplicated union.
-    - Depth: if any subscription omits `depth` (unbounded), the union is
-      unbounded (omits the key). Otherwise, take the max. `depth=0` is a
-      valid bounded value — never omit when all subscriptions provide it.
-
-    Args:
-        subscriptions: list of `SubscribeParams`-shaped dicts.
-
-    Returns:
-        A `SubscribeParams`-shaped dict covering every input.
-    """
-    if not subscriptions:
-        return {"channels": []}
-
-    channels: set[str] = set()
-    wildcard_namespaces = False
-    namespace_map: dict[tuple[str, ...], list[str]] = {}
-    unbounded_depth = False
-    max_depth = 0
-
-    for sub in subscriptions:
-        for ch in sub.get("channels", []):
-            channels.add(ch)
-
-        sub_namespaces = sub.get("namespaces")
-        if sub_namespaces is None:
-            wildcard_namespaces = True
-        elif not wildcard_namespaces:
-            for ns in sub_namespaces:
-                namespace_map[tuple(ns)] = ns
-
-        sub_depth = sub.get("depth")
-        if sub_depth is None:
-            unbounded_depth = True
-        elif not unbounded_depth and sub_depth > max_depth:
-            max_depth = sub_depth
-
-    result: dict[str, Any] = {"channels": sorted(channels)}
-    if not wildcard_namespaces and namespace_map:
-        result["namespaces"] = list(namespace_map.values())
-    if not unbounded_depth:
-        result["depth"] = max_depth
-    return result
-
-
-def filter_covers(coverer: dict[str, Any], target: dict[str, Any]) -> bool:
-    """Whether `coverer` is a superset of `target`.
-
-    Direct port of `client/stream/index.ts:filterCovers`. Depth coverage
-    accounts for namespace-prefix offset: a scoped coverer needs enough depth
-    to absorb the extra levels of any deeper target namespace prefix.
-    """
-    coverer_channels = set(coverer.get("channels", []))
-    for ch in target.get("channels", []):
-        if ch not in coverer_channels:
-            return False
-
-    coverer_depth = coverer.get("depth")
-    target_depth = target.get("depth")
-    coverer_namespaces = coverer.get("namespaces")
-    target_namespaces = target.get("namespaces")
-
-    # Unscoped coverer covers any namespace; depth is a simple scalar check.
-    if coverer_namespaces is None:
-        if coverer_depth is None:
-            return True
-        if target_depth is None:
-            return False
-        return target_depth <= coverer_depth
-
-    # Scoped coverer cannot cover an unscoped target.
-    if target_namespaces is None:
-        return False
-
-    # Each target namespace must be covered by SOME coverer namespace,
-    # AND the depth-with-offset must fit.
-    for tp in target_namespaces:
-        covered = False
-        for cp in coverer_namespaces:
-            if not is_prefix_match(tp, cp):
-                continue
-            if coverer_depth is None:
-                covered = True
-                break
-            if target_depth is None:
-                # target wants unbounded depth — coverer bounded can't cover.
-                continue
-            if len(tp) - len(cp) + target_depth <= coverer_depth:
-                covered = True
-                break
-        if not covered:
-            return False
-    return True
@@ -1,342 +0,0 @@
-"""Synchronous shared-stream fan-out controller for v3 thread streaming."""
-
-from __future__ import annotations
-
-import contextlib
-import logging
-import random
-import threading
-import time
-from dataclasses import dataclass, field
-from queue import Queue as _Queue
-from typing import Any
-
-from langchain_protocol import Event, SubscribeParams
-
-from langgraph_sdk.stream.subscription import compute_union_filter, filter_covers
-from langgraph_sdk.stream.transport import (
-    SyncEventStreamHandle,
-    SyncProtocolTransport,
-)
-
-_logger = logging.getLogger(__name__)
-
-
-_ROOT_TERMINAL_LIFECYCLE_EVENTS = frozenset({"completed", "failed"})
-
-
-def _is_root_terminal_lifecycle(event: Any) -> bool:
-    """Return True for a root-namespace lifecycle event marking run end.
-
-    Matches the wire shape ``{method: "lifecycle", params: {namespace: [],
-    data: {event: "completed" | "failed"}}}``. Subgraph lifecycle events
-    (non-empty namespace) do not terminate the parent run.
-    """
-    if not isinstance(event, dict):
-        return False
-    if event.get("method") != "lifecycle":
-        return False
-    params = event.get("params") or {}
-    if not isinstance(params, dict):
-        return False
-    if params.get("namespace") or []:
-        return False
-    data = params.get("data") or {}
-    if not isinstance(data, dict):
-        return False
-    return data.get("event") in _ROOT_TERMINAL_LIFECYCLE_EVENTS
-
-
-@dataclass
-class _SyncSubscription:
-    id: int
-    params: SubscribeParams
-    queue: _Queue[Event | None] = field(default_factory=_Queue)
-    # Why: using `queue.Queue` in the annotation causes ty to resolve `queue`
-    # as the field being defined (name shadowing), not the stdlib module.
-
-
-_DEFAULT_RUN_START_TIMEOUT: float = 30.0
-
-
-class SyncStreamController:
-    """Owns the sync shared SSE handle, subscription registry, and fan-out thread."""
-
-    def __init__(
-        self,
-        transport: SyncProtocolTransport,
-        *,
-        run_start_gate: threading.Event | None = None,
-        run_start_timeout: float = _DEFAULT_RUN_START_TIMEOUT,
-        max_reconnect_attempts: int = 5,
-        reconnect_backoff_base: float = 0.1,
-        reconnect_backoff_cap: float = 10.0,
-    ) -> None:
-        self._transport = transport
-        self._next_subscription_id = 1
-        self._subscriptions: dict[int, _SyncSubscription] = {}
-        self._seen_event_ids: set[str] = set()
-        self._shared_stream: SyncEventStreamHandle | None = None
-        self._shared_stream_filter: dict[str, Any] | None = None
-        self._fanout_thread: threading.Thread | None = None
-        self._closed = False
-        self._lock = threading.RLock()
-        self._cursor: int | None = None
-        # When None, no gate is applied and reconcile_stream proceeds immediately.
-        # SyncThreadStream passes an un-set Event so subscriptions wait until
-        # run.start completes.
-        self._run_start_gate = run_start_gate
-        self._run_start_timeout = run_start_timeout
-        self._max_reconnect_attempts = max_reconnect_attempts
-        self._reconnect_backoff_base = reconnect_backoff_base
-        self._reconnect_backoff_cap = reconnect_backoff_cap
-        self._drain_threads: set[threading.Thread] = set()
-
-    def register_subscription(self, params: SubscribeParams) -> _SyncSubscription:
-        with self._lock:
-            sub = _SyncSubscription(id=self._next_subscription_id, params=params)
-            self._next_subscription_id += 1
-            self._subscriptions[sub.id] = sub
-            return sub
-
-    def unregister_subscription(self, subscription_id: int) -> None:
-        with self._lock:
-            self._subscriptions.pop(subscription_id, None)
-
-    def signal_paused(self) -> None:
-        """Wake every active subscription iterator on interrupt (run pause).
-
-        Pushes the terminal sentinel (`None`) into every subscription queue.
-        Iterators see `None` and return; the shared SSE keeps running so
-        re-iteration after `run.respond(...)` registers a fresh subscription
-        and resumes.
-        """
-        with self._lock:
-            subs = list(self._subscriptions.values())
-        for sub in subs:
-            sub.queue.put(None)
-
-    def reconcile_stream(self, candidate_filter: SubscribeParams) -> None:
-        if self._run_start_gate is not None and not self._run_start_gate.wait(
-            timeout=self._run_start_timeout
-        ):
-            raise TimeoutError("Sync run.start gate timeout.")
-        with self._lock:
-            if (
-                self._shared_stream is not None
-                and self._shared_stream_filter is not None
-                and filter_covers(self._shared_stream_filter, dict(candidate_filter))
-            ):
-                return
-            new_filter = self._compute_current_union(extra=candidate_filter)
-            old_stream = self._shared_stream
-            self._shared_stream = self._transport.open_event_stream(
-                self._filter_with_since(new_filter)
-            )
-            self._shared_stream_filter = new_filter
-            if old_stream is not None:
-                drain_thread = threading.Thread(
-                    target=self._drain_and_close,
-                    args=(old_stream,),
-                    daemon=True,
-                    name="langgraph-sdk-sync-rotation-drain",
-                )
-                self._drain_threads.add(drain_thread)
-                drain_thread.start()
-
-    def ensure_fanout_running(self) -> None:
-        with self._lock:
-            if self._fanout_thread is not None and self._fanout_thread.is_alive():
-                return
-            self._fanout_thread = threading.Thread(
-                target=self._fanout,
-                name="langgraph-sdk-sync-stream-fanout",
-                daemon=True,
-            )
-            self._fanout_thread.start()
-
-    def _fanout(self) -> None:
-        from langgraph_sdk.stream.subscription import matches_subscription
-
-        while True:
-            with self._lock:
-                if self._closed:
-                    return
-                shared = self._shared_stream
-            if shared is None:
-                return
-            try:
-                for event in self._dedup_iter(shared.events):
-                    with self._lock:
-                        if self._closed:
-                            break
-                        subscriptions = list(self._subscriptions.values())
-                    for sub in subscriptions:
-                        if matches_subscription(event, sub.params):
-                            sub.queue.put(event)
-                    # Root-terminal lifecycle: push `None` into all sub
-                    # queues so projection iterators exit when the run
-                    # ends naturally. Terminal is processed in seq order
-                    # on the shared SSE, so in-flight values/tools/
-                    # messages events for this run are already queued
-                    # before None.
-                    if _is_root_terminal_lifecycle(event):
-                        self.signal_paused()
-            except Exception:
-                pass  # transport drop — attempt reconnect below
-
-            with self._lock:
-                if self._shared_stream is not shared:
-                    continue  # rotation happened; pick up new stream
-                # No rotation — check if this was a transport drop
-            err = shared.error()
-            if err is not None and not self._closed:
-                if self._reconnect_shared_stream():
-                    continue
-            break
-
-        with self._lock:
-            for sub in self._subscriptions.values():
-                sub.queue.put(None)
-
-    def _reconnect_shared_stream(self) -> bool:
-        with self._lock:
-            base_filter = self._shared_stream_filter
-        if base_filter is None:
-            return False
-        for _ in range(self._max_reconnect_attempts):
-            with self._lock:
-                if self._closed:
-                    return False
-                params = self._filter_with_since(base_filter)
-            try:
-                new_stream = self._transport.open_event_stream(params)
-            except Exception:
-                continue
-            with self._lock:
-                self._shared_stream = new_stream
-            return True
-        return False
-
-    def _compute_current_union(
-        self, extra: SubscribeParams | None = None
-    ) -> dict[str, Any]:
-        filters = [dict(sub.params) for sub in self._subscriptions.values()]
-        if extra is not None:
-            filters.append(dict(extra))
-        # Always include lifecycle in the shared SSE filter so `_fanout`
-        # sees root-terminal events in seq order with the projection
-        # events. See `_is_root_terminal_lifecycle`.
-        filters.append({"channels": ["lifecycle"]})
-        return compute_union_filter(filters)
-
-    def observe_applied_through_seq(self, seq: Any) -> None:
-        """Advance the reconnect cursor from a command response meta sequence."""
-        with self._lock:
-            self._observe_seq(seq)
-
-    def _observe_event(self, event: Event) -> None:
-        with self._lock:
-            self._observe_seq(event.get("seq"))
-
-    def _observe_seq(self, seq: Any) -> None:
-        if isinstance(seq, int) and (self._cursor is None or seq > self._cursor):
-            self._cursor = seq
-
-    def _filter_with_since(self, params: dict[str, Any]) -> dict[str, Any]:
-        out = dict(params)
-        if self._cursor is not None:
-            out["since"] = self._cursor
-        return out
-
-    def _dedup_iter(self, source: Any) -> Any:
-        for event in source:
-            event_id = event.get("event_id")
-            if event_id is not None:
-                if event_id in self._seen_event_ids:
-                    continue
-                self._seen_event_ids.add(event_id)
-            self._observe_event(event)
-            yield event
-
-    def _drain_and_close(self, handle: SyncEventStreamHandle) -> None:
-        """Drain remaining events from an old handle before closing it.
-
-        Runs in a background thread spawned by `reconcile_stream` on rotation
-        so buffered events are not lost when the shared stream is replaced.
-        Events are dispatched to subscribers regardless of `_closed` so that
-        already-buffered events reach consumers before the handle is closed.
-        """
-        from langgraph_sdk.stream.subscription import matches_subscription
-
-        try:
-            for event in self._dedup_iter(handle.events):
-                with self._lock:
-                    subscriptions = list(self._subscriptions.values())
-                for sub in subscriptions:
-                    if matches_subscription(event, sub.params):
-                        sub.queue.put(event)
-        except Exception as err:
-            _logger.debug("rotation drain exception: %r", err)
-        finally:
-            with contextlib.suppress(Exception):
-                handle.close()
-            with self._lock:
-                self._drain_threads.discard(threading.current_thread())
-
-    def _reconnect_sleep(self, attempt: int) -> None:
-        """Sleep with exponential backoff + jitter before a reconnect attempt."""
-        base = self._reconnect_backoff_base
-        cap = self._reconnect_backoff_cap
-        delay = min(cap, base * (2**attempt))
-        jitter = random.uniform(0, delay * 0.25)
-        time.sleep(delay + jitter)
-
-    def _reconnect_shared_stream(self) -> bool:
-        """Attempt to reopen the shared stream after a transport drop.
-
-        Returns True if a new stream was successfully opened, False if all
-        reconnect attempts were exhausted or the controller was closed.
-        """
-        base_filter = self._shared_stream_filter
-        if base_filter is None:
-            return False
-        for attempt in range(self._max_reconnect_attempts):
-            if self._closed:
-                return False
-            if attempt > 0:
-                self._reconnect_sleep(attempt - 1)
-            try:
-                new_handle = self._transport.open_event_stream(
-                    self._filter_with_since(base_filter)
-                )
-                old = self._shared_stream
-                self._shared_stream = new_handle
-                if old is not None:
-                    with contextlib.suppress(Exception):
-                        old.close()
-                return True
-            except Exception as err:
-                _logger.debug("sync reconnect attempt %d failed: %r", attempt, err)
-        return False
-
-    def close(self) -> None:
-        with self._lock:
-            if self._closed:
-                return
-            self._closed = True
-            shared = self._shared_stream
-            for sub in self._subscriptions.values():
-                sub.queue.put(None)
-        if shared is not None:
-            shared.close()
-        thread = self._fanout_thread
-        if thread is not None and thread.is_alive():
-            with contextlib.suppress(RuntimeError):
-                thread.join(timeout=1.0)
-        with self._lock:
-            drain_threads = set(self._drain_threads)
-        for drain in drain_threads:
-            if drain.is_alive():
-                with contextlib.suppress(RuntimeError):
-                    drain.join(timeout=1.0)
@@ -1,27 +0,0 @@
-"""Public exports for the v3 streaming transport layer."""
-
-from langgraph_sdk.stream.transport.base import (
-    AsyncProtocolTransport,
-    EventStreamHandle,
-    SyncEventStreamHandle,
-    SyncProtocolTransport,
-    build_event_stream_body,
-    build_websocket_url,
-)
-from langgraph_sdk.stream.transport.http import ProtocolSseTransport
-from langgraph_sdk.stream.transport.sync_http import SyncProtocolSseTransport
-from langgraph_sdk.stream.transport.sync_ws import SyncProtocolWebSocketTransport
-from langgraph_sdk.stream.transport.ws import ProtocolWebSocketTransport
-
-__all__ = [
-    "AsyncProtocolTransport",
-    "EventStreamHandle",
-    "ProtocolSseTransport",
-    "ProtocolWebSocketTransport",
-    "SyncEventStreamHandle",
-    "SyncProtocolSseTransport",
-    "SyncProtocolTransport",
-    "SyncProtocolWebSocketTransport",
-    "build_event_stream_body",
-    "build_websocket_url",
-]
@@ -1,79 +0,0 @@
-"""Shared transport contracts for v3 thread-centric streaming."""
-
-from __future__ import annotations
-
-import asyncio
-from collections.abc import AsyncIterator, Awaitable, Callable, Iterator, Mapping
-from dataclasses import dataclass
-from typing import Any, Protocol
-
-import httpx
-from langchain_protocol import Event
-
-
-@dataclass
-class EventStreamHandle:
-    """Handle for one async filtered event stream."""
-
-    events: AsyncIterator[Event]
-    ready: asyncio.Future[None]
-    done: asyncio.Future[BaseException | None]
-    close: Callable[[], Awaitable[None]]
-
-
-@dataclass
-class SyncEventStreamHandle:
-    """Handle for one sync filtered event stream."""
-
-    events: Iterator[Event]
-    error: Callable[[], BaseException | None]
-    close: Callable[[], None]
-
-
-class AsyncProtocolTransport(Protocol):
-    """Protocol implemented by async SSE and WebSocket transports."""
-
-    thread_id: str
-
-    async def send_command(self, command: dict[str, Any]) -> dict[str, Any] | None: ...
-
-    def open_event_stream(self, params: dict[str, Any]) -> EventStreamHandle: ...
-
-    async def close(self) -> None: ...
-
-
-class SyncProtocolTransport(Protocol):
-    """Protocol implemented by sync SSE and WebSocket transports."""
-
-    thread_id: str
-
-    def send_command(self, command: dict[str, Any]) -> dict[str, Any] | None: ...
-
-    def open_event_stream(self, params: dict[str, Any]) -> SyncEventStreamHandle: ...
-
-    def close(self) -> None: ...
-
-
-def build_event_stream_body(params: dict[str, Any]) -> dict[str, Any]:
-    body: dict[str, Any] = {"channels": params["channels"]}
-    if params.get("namespaces") is not None:
-        body["namespaces"] = params["namespaces"]
-    if params.get("depth") is not None:
-        body["depth"] = params["depth"]
-    since = params.get("since")
-    if isinstance(since, int):
-        body["since"] = since
-    return body
-
-
-def build_websocket_url(base_url: httpx.URL, path: str) -> str:
-    """Convert an HTTP base URL plus API path into a WebSocket URL."""
-    scheme = "wss" if base_url.scheme == "https" else "ws"
-    base_path = base_url.path.rstrip("/")
-    stream_path = path if path.startswith("/") else f"/{path}"
-    full_path = f"{base_path}{stream_path}" if base_path else stream_path
-    return str(base_url.copy_with(scheme=scheme, path=full_path, query=None))
-
-
-def websocket_headers(headers: Mapping[str, str] | None) -> list[tuple[str, str]]:
-    return list(dict(headers or {}).items())
@@ -1,194 +0,0 @@
-"""HTTP/SSE transport for the v3 thread-centric protocol.
-
-Direct port of `libs/sdk/src/client/stream/transport/http.ts`.
-
-`ProtocolSseTransport` is bound to a single `thread_id` at construction. Commands
-go to `POST /threads/{thread_id}/commands` (JSON in, JSON out). Each
-`open_event_stream(params)` opens an independent filtered SSE connection at
-`POST /threads/{thread_id}/stream/events` with the `SubscribeParams` in the
-request body.
-"""
-
-from __future__ import annotations
-
-import asyncio
-import contextlib
-from collections.abc import AsyncIterator, Mapping
-from typing import Any, cast
-
-import httpx
-import orjson
-from langchain_protocol import Event
-
-from langgraph_sdk.sse import BytesLineDecoder, SSEDecoder
-from langgraph_sdk.stream.transport.base import (
-    EventStreamHandle,
-    build_event_stream_body,
-)
-
-_build_event_stream_body = build_event_stream_body
-
-
-class ProtocolSseTransport:
-    """v3 protocol transport bound to a single `thread_id`.
-
-    Commands go to `POST /threads/{thread_id}/commands` (JSON in, JSON out).
-    `open_event_stream` opens filtered SSE streams against
-    `POST /threads/{thread_id}/stream/events`.
-    """
-
-    def __init__(
-        self,
-        *,
-        client: httpx.AsyncClient,
-        thread_id: str,
-        commands_path: str | None = None,
-        stream_path: str | None = None,
-        headers: Mapping[str, str] | None = None,
-        max_queue_size: int = 1024,
-    ) -> None:
-        self._client = client
-        self.thread_id = thread_id
-        self._commands_url = commands_path or f"/threads/{thread_id}/commands"
-        self._stream_url = stream_path or f"/threads/{thread_id}/stream/events"
-        self._default_headers: dict[str, str] = dict(headers or {})
-        self._max_queue_size = max_queue_size
-        self._closed = False
-        self._event_streams: set[asyncio.Task[None]] = set()
-
-    async def send_command(self, command: dict[str, Any]) -> dict[str, Any] | None:
-        """POST a command. Returns the response JSON, or `None` for 202/204.
-
-        Raises:
-            httpx.HTTPStatusError: server returned >= 400.
-            RuntimeError: the transport has been closed via `close()`.
-            RuntimeError: server returned a response missing the protocol envelope.
-        """
-        if self._closed:
-            raise RuntimeError("Protocol transport is closed.")
-        # Merge default headers first so content-type always wins.
-        merged_headers = {**self._default_headers, "content-type": "application/json"}
-        response = await self._client.post(
-            self._commands_url,
-            content=orjson.dumps(command),
-            headers=merged_headers,
-        )
-        response.raise_for_status()
-        if response.status_code in (202, 204):
-            return None
-        if not response.content:
-            raise RuntimeError("Protocol command did not return a valid response.")
-        try:
-            payload = orjson.loads(response.content)
-        except orjson.JSONDecodeError as err:
-            raise RuntimeError(
-                "Protocol command did not return a valid response."
-            ) from err
-        if not isinstance(payload, dict) or "id" not in payload:
-            raise RuntimeError("Protocol command did not return a valid response.")
-        return payload
-
-    def open_event_stream(self, params: dict[str, Any]) -> EventStreamHandle:
-        """Open an independent filtered SSE event stream.
-
-        Posts `params` as a SubscribeParams body to `/threads/{thread_id}/stream/events`.
-        Returns an `EventStreamHandle` whose `events` async iterator yields typed
-        `Event` dicts as the server emits them. `handle.ready` resolves on a 2xx
-        response (rejects on HTTP error or transport failure before headers).
-
-        Reconnect: pass `params["since"]` to filter outbound seqs server-side. The
-        cursor goes in the request body, not as a `Last-Event-ID` header.
-        """
-        if self._closed:
-            raise RuntimeError("Protocol transport is closed.")
-
-        loop = asyncio.get_running_loop()
-        ready: asyncio.Future[None] = loop.create_future()
-        done: asyncio.Future[BaseException | None] = loop.create_future()
-        queue: asyncio.Queue[Event | None] = asyncio.Queue(maxsize=self._max_queue_size)
-        cancel_event = asyncio.Event()
-
-        async def pump() -> None:
-            try:
-                # Merge default headers first so fixed SSE headers always win.
-                sse_headers = {
-                    **self._default_headers,
-                    "content-type": "application/json",
-                    "accept": "text/event-stream",
-                    "cache-control": "no-store",
-                }
-                async with self._client.stream(
-                    "POST",
-                    self._stream_url,
-                    content=orjson.dumps(build_event_stream_body(params)),
-                    headers=sse_headers,
-                ) as response:
-                    response.raise_for_status()
-                    if not ready.done():
-                        ready.set_result(None)
-                    line_decoder = BytesLineDecoder()
-                    sse_decoder = SSEDecoder()
-                    async for chunk in response.aiter_bytes():
-                        if cancel_event.is_set():
-                            break
-                        for line in line_decoder.decode(chunk):
-                            part = sse_decoder.decode(bytes(line))
-                            if part is None:
-                                continue
-                            if isinstance(part.data, dict):
-                                await queue.put(cast("Event", part.data))
-                    # Drain any trailing buffered line, then fire any pending event.
-                    if not cancel_event.is_set():
-                        for line in line_decoder.flush():
-                            part = sse_decoder.decode(bytes(line))
-                            if part is not None and isinstance(part.data, dict):
-                                await queue.put(cast("Event", part.data))
-                        part = sse_decoder.decode(b"")
-                        if part is not None and isinstance(part.data, dict):
-                            await queue.put(cast("Event", part.data))
-            except asyncio.CancelledError as err:
-                if not done.done():
-                    done.set_result(err)
-                raise
-            except BaseException as err:
-                if not ready.done():
-                    ready.set_exception(err)
-                if not done.done():
-                    done.set_result(err)
-            finally:
-                if not done.done():
-                    done.set_result(None)
-                await queue.put(None)  # sentinel: end of stream
-
-        task = asyncio.create_task(pump())
-        self._event_streams.add(task)
-        task.add_done_callback(self._event_streams.discard)
-
-        async def aiter() -> AsyncIterator[Event]:
-            while True:
-                item = await queue.get()
-                if item is None or cancel_event.is_set():
-                    return
-                yield item
-
-        async def close() -> None:
-            cancel_event.set()
-            # Why: pump may be mid-`finally`; ensure consumer unblocks.
-            queue.put_nowait(None)
-            task.cancel()
-            with contextlib.suppress(asyncio.CancelledError, Exception):
-                await task
-
-        return EventStreamHandle(events=aiter(), ready=ready, done=done, close=close)
-
-    async def close(self) -> None:
-        """Cancel any open event streams and mark the transport closed. Idempotent."""
-        if self._closed:
-            return
-        self._closed = True
-        tasks = list(self._event_streams)
-        for task in tasks:
-            task.cancel()
-        if tasks:
-            with contextlib.suppress(Exception, asyncio.CancelledError):
-                await asyncio.gather(*tasks, return_exceptions=True)
@@ -1,131 +0,0 @@
-"""Synchronous HTTP/SSE transport for the v3 thread-centric protocol."""
-
-from __future__ import annotations
-
-import contextlib
-from collections.abc import Iterator, Mapping
-from typing import Any, cast
-
-import httpx
-import orjson
-from langchain_protocol import Event
-
-from langgraph_sdk.sse import BytesLineDecoder, SSEDecoder
-from langgraph_sdk.stream.transport.base import (
-    SyncEventStreamHandle,
-    build_event_stream_body,
-)
-
-
-class SyncProtocolSseTransport:
-    """Sync v3 protocol transport bound to one thread id."""
-
-    def __init__(
-        self,
-        *,
-        client: httpx.Client,
-        thread_id: str,
-        commands_path: str | None = None,
-        stream_path: str | None = None,
-        headers: Mapping[str, str] | None = None,
-    ) -> None:
-        self._client = client
-        self.thread_id = thread_id
-        self._commands_url = commands_path or f"/threads/{thread_id}/commands"
-        self._stream_url = stream_path or f"/threads/{thread_id}/stream/events"
-        self._default_headers: dict[str, str] = dict(headers or {})
-        self._closed = False
-        self._open_responses: list[httpx.Response] = []
-
-    def send_command(self, command: dict[str, Any]) -> dict[str, Any] | None:
-        if self._closed:
-            raise RuntimeError("Protocol transport is closed.")
-        merged_headers = {**self._default_headers, "content-type": "application/json"}
-        response = self._client.post(
-            self._commands_url,
-            content=orjson.dumps(command),
-            headers=merged_headers,
-        )
-        response.raise_for_status()
-        if response.status_code in (202, 204):
-            return None
-        payload = orjson.loads(response.content)
-        if not isinstance(payload, dict) or "id" not in payload:
-            raise RuntimeError("Protocol command did not return a valid response.")
-        return payload
-
-    def open_event_stream(self, params: dict[str, Any]) -> SyncEventStreamHandle:
-        if self._closed:
-            raise RuntimeError("Protocol transport is closed.")
-        sse_headers = {
-            **self._default_headers,
-            "content-type": "application/json",
-            "accept": "text/event-stream",
-            "cache-control": "no-store",
-        }
-        request = self._client.build_request(
-            "POST",
-            self._stream_url,
-            content=orjson.dumps(build_event_stream_body(params)),
-            headers=sse_headers,
-        )
-        stream_cm = self._client.send(request, stream=True)
-        stream_cm.raise_for_status()
-        content_type = stream_cm.headers.get("content-type", "").partition(";")[0]
-        if "text/event-stream" not in content_type:
-            stream_cm.close()
-            raise httpx.TransportError(
-                "Expected response header Content-Type to contain "
-                f"'text/event-stream', got {content_type!r}"
-            )
-        self._open_responses.append(stream_cm)
-        closed = False
-        stream_error: BaseException | None = None
-
-        def events() -> Iterator[Event]:
-            nonlocal stream_error
-            line_decoder = BytesLineDecoder()
-            sse_decoder = SSEDecoder()
-            try:
-                for chunk in stream_cm.iter_bytes():
-                    if closed:
-                        return
-                    for line in line_decoder.decode(chunk):
-                        part = sse_decoder.decode(bytes(line))
-                        if part is not None and isinstance(part.data, dict):
-                            yield cast("Event", part.data)
-                for line in line_decoder.flush():
-                    part = sse_decoder.decode(bytes(line))
-                    if part is not None and isinstance(part.data, dict):
-                        yield cast("Event", part.data)
-                part = sse_decoder.decode(b"")
-                if part is not None and isinstance(part.data, dict):
-                    yield cast("Event", part.data)
-            except BaseException as exc:
-                if not closed:
-                    stream_error = exc
-                raise
-            finally:
-                with contextlib.suppress(ValueError):
-                    self._open_responses.remove(stream_cm)
-                stream_cm.close()
-
-        def error() -> BaseException | None:
-            return stream_error
-
-        def close() -> None:
-            nonlocal closed
-            closed = True
-            with contextlib.suppress(Exception):
-                stream_cm.close()
-
-        return SyncEventStreamHandle(events=events(), error=error, close=close)
-
-    def close(self) -> None:
-        if self._closed:
-            return
-        self._closed = True
-        for response in list(self._open_responses):
-            with contextlib.suppress(Exception):
-                response.close()
-        self._open_responses.clear()
@@ -1,148 +0,0 @@
-"""Sync WebSocket transport for the v3 thread-centric protocol."""
-
-from __future__ import annotations
-
-import contextlib
-from collections.abc import Callable, Iterator, Mapping
-from typing import Any, cast
-
-import httpx
-import orjson
-from langchain_protocol import Event
-from websockets.sync.client import connect as websocket_connect
-
-from langgraph_sdk.stream.transport.base import (
-    SyncEventStreamHandle,
-    build_event_stream_body,
-    build_websocket_url,
-    websocket_headers,
-)
-
-
-class SyncProtocolWebSocketTransport:
-    """Sync v3 protocol transport using HTTP commands and WebSocket events."""
-
-    def __init__(
-        self,
-        *,
-        client: httpx.Client,
-        thread_id: str,
-        commands_path: str | None = None,
-        stream_path: str | None = None,
-        headers: Mapping[str, str] | None = None,
-        connect: Callable[..., Any] = websocket_connect,
-        ping_interval: float | None = 20.0,
-        ping_timeout: float | None = 20.0,
-    ) -> None:
-        self._client = client
-        self.thread_id = thread_id
-        self._commands_url = commands_path or f"/threads/{thread_id}/commands"
-        self._stream_path = stream_path or f"/threads/{thread_id}/stream/events"
-        self._default_headers: dict[str, str] = dict(headers or {})
-        self._connect = connect
-        self._ping_interval = ping_interval
-        self._ping_timeout = ping_timeout
-        self._closed = False
-
-    def send_command(self, command: dict[str, Any]) -> dict[str, Any] | None:
-        if self._closed:
-            raise RuntimeError("Protocol transport is closed.")
-        merged_headers = {**self._default_headers, "content-type": "application/json"}
-        response = self._client.post(
-            self._commands_url,
-            content=orjson.dumps(command),
-            headers=merged_headers,
-        )
-        response.raise_for_status()
-        if response.status_code in (202, 204):
-            return None
-        payload = orjson.loads(response.content)
-        if not isinstance(payload, dict) or "id" not in payload:
-            raise RuntimeError("Protocol command did not return a valid response.")
-        return payload
-
-    def open_event_stream(self, params: dict[str, Any]) -> SyncEventStreamHandle:
-        if self._closed:
-            raise RuntimeError("Protocol transport is closed.")
-        closed = False
-        stream_error: BaseException | None = None
-
-        url = build_websocket_url(self._client.base_url, self._stream_path)
-        handshake_headers = list(websocket_headers(self._default_headers))
-        cookie_header = _cookie_header(self._client, self._stream_path)
-        if cookie_header:
-            handshake_headers.append(("Cookie", cookie_header))
-        # Pre-enter the WebSocket context manager so close() can reach the socket
-        # immediately, even before the caller has started iterating events().
-        ws_cm = self._connect(
-            url,
-            additional_headers=handshake_headers,
-            ping_interval=self._ping_interval,
-            ping_timeout=self._ping_timeout,
-        )
-        websocket = ws_cm.__enter__()
-
-        def events() -> Iterator[Event]:
-            nonlocal stream_error
-            try:
-                # Wrap the initial subscribe in a ``subscription.subscribe``
-                # Protocol command envelope so the server's WS endpoint
-                # (see ``langgraph-api`` ``api/event_streaming.py``
-                # ``_thread_websocket``) accepts it. Bare subscribe bodies
-                # are rejected with ``invalid_argument``.
-                subscribe_command = {
-                    "id": 1,
-                    "method": "subscription.subscribe",
-                    "params": build_event_stream_body(params),
-                }
-                websocket.send(orjson.dumps(subscribe_command).decode())
-                for raw in websocket:
-                    if closed:
-                        return
-                    payload = _decode_frame(raw)
-                    if isinstance(payload, dict):
-                        yield cast("Event", payload)
-            except BaseException as exc:
-                if not closed:
-                    stream_error = exc
-                raise
-            finally:
-                with contextlib.suppress(Exception):
-                    ws_cm.__exit__(None, None, None)
-
-        def error() -> BaseException | None:
-            return stream_error
-
-        def close() -> None:
-            nonlocal closed
-            closed = True
-            with contextlib.suppress(Exception):
-                websocket.close()
-
-        return SyncEventStreamHandle(events=events(), error=error, close=close)
-
-    def close(self) -> None:
-        self._closed = True
-
-
-def _decode_frame(raw: str | bytes | bytearray | memoryview) -> Any:
-    if isinstance(raw, str):
-        return orjson.loads(raw.encode())
-    return orjson.loads(bytes(raw))
-
-
-def _cookie_header(client: httpx.Client, path: str) -> str | None:
-    """Build a `Cookie` header for the WebSocket handshake.
-
-    Why pass `path`: `dict(client.cookies)` flattens the entire jar without
-    domain/path filtering, so cookies set by responses from other origins would
-    leak to the WS server. We delegate to `httpx.Cookies.set_cookie_header`,
-    which applies the same `CookieJar` rules httpx uses for regular HTTP
-    requests, scoping the result to `client.base_url` + `path`.
-    """
-    if not list(client.cookies.jar):
-        return None
-    target = client.base_url.copy_with(path=path)
-    request = httpx.Request("GET", target)
-    client.cookies.set_cookie_header(request)
-    return request.headers.get("Cookie")
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Nick HollonandGitHub	4dde40000f	Merge branch 'main' into nh/namespace-keyed-subagents	2026-05-08 14:01:05 -04:00
Nick Hollon	8de6eb4eab	rename LifecyclePayload.cause to metadata `metadata` reads more neutrally than `cause` — the field carries descriptive info about what the lifecycle event is for, not a strict causal relationship. Wire field, docstrings, and tests updated.	2026-05-08 13:57:58 -04:00
Nick Hollon	c6dc0c32c1	broaden graph_name docstring beyond add_node-only case The namespace segment name is whatever pregel registered the dispatching node as in the parent scope (`_algo.py:615`/`:988`), not specifically an `add_node` mount. For a subagent invoked from inside a tool's body, that's the tool's name; for Send fan-out, the target node's name.	2026-05-08 11:43:04 -04:00
Nick Hollon	58e0773ec6	rename trigger_call_id to parent_task_id Pregel doesn't have a "call" concept — its unit of work is a task. The namespace segment after `:` is documented in `_internal/_constants.py` as the `task_id` ("for checkpoint_ns, for each level, separates the namespace from the task_id"), and "parent task" already shows up as existing pregel vocabulary (`_algo.py`, `_runner.py`). `parent_task_id` matches that vocabulary: from the child subgraph's perspective, the id we carry on every lifecycle event identifies the task in the parent scope whose execution dispatched this subgraph. Renames the wire field, the `SubgraphRunStream.parent_task_id` attribute, all internal parameter / variable names, and the test identifiers.	2026-05-08 11:38:27 -04:00
Nick Hollon	8c4bfa6d07	slim lifecycle.cause to {type, tool_call_id}, require trigger_call_id The args-mining of `subagent_type` and `description` coupled the streaming layer to one specific tool's args schema (the deepagents `task` tool). Drop it: cause now carries only `{type: "tool_call", tool_call_id}`. Args still live on the AIMessage's `tool_calls[i].args` where they originate — consumers that want descriptive intent look them up there via the `tool_call_id` join, keeping one source of truth. Also promote `trigger_call_id` from `NotRequired` to required and emit it on every event (started + every terminal path). Consumers no longer need a namespace fallback to correlate `started` ↔ terminal events for the same subgraph instance. Renames: - `_extract_per_call_args` -> `_extract_dispatching_tool_call_id` (now returns just `str \| None`) - `_record_invocation_metadata` -> `_record_dispatching_tool_call_id` - `_invocation_metadata` cache -> `_dispatching_tool_call_id` - `_on_started` parameter `invocation_metadata` -> `tool_call_id` - `_on_terminal` gains a `trigger_call_id` parameter; `_pop_terminal_transitions` yields it through the tuple Tests refreshed: cause-shape assertions reflect the slimmed payload, new `test_trigger_call_id_present_on_every_terminal_path` covers all five terminal exit paths, list-shape robustness test re-aimed at missing `id` instead of missing args.	2026-05-08 10:57:29 -04:00
Nick Hollon	ee9e234da0	rename SubgraphStatus to LifecycleEvent, add per-field/value docs `SubgraphStatus` was misleading — values like `started` are transitions, not statuses, and the field on `LifecyclePayload` is already called `event`. Rename the type alias to `LifecycleEvent` so the type and the field agree. Add a block docstring on the alias enumerating each value's trigger condition, and add per-field docstrings on `LifecyclePayload` (`event` / `namespace` / `graph_name` / `trigger_call_id` / `error`), matching the style already used for `cause`. No behaviour change.	2026-05-08 10:42:39 -04:00
Nick Hollon	fc297fc576	stop naming ToolCallWithContext in lifecycle docstrings `ToolCallWithContext` is an internal prebuilt type — public-facing docstrings shouldn't be calling it out by name. Describe the two recognised per-call envelope shapes (single-element list of tool-call dicts, dict wrapping a `tool_call`) by structure instead, and lead with the list shape since that's what `langchain.agents.create_agent` currently dispatches.	2026-05-08 10:04:49 -04:00
Nick Hollon	837e1ba6d2	extract per-call args helper, evict invocation cache after consumption - Pull the two-shape duck-typing out of `_record_invocation_metadata` into a module-level `_extract_per_call_args` helper so the recording method is a clean three-step flow (validate task_id, parse shape, mine fields). - Pop `_invocation_metadata` entries when consumed in `_handle_task_start` to prevent unbounded per-stream-call growth on long subagent runs. - Fix stale `_on_started` parameter name in `_TasksLifecycleBase` class docstring (was `tool_call_id`, now `invocation_metadata`). - Add regression test `test_parallel_dispatches_attributed_to_correct_parent` exercising the actual bug the trigger_call_id join defends against: two parents with identical subagent_type but distinct descriptions must each get their own cause attributed via trigger_call_id.	2026-05-08 09:37:23 -04:00
Nick Hollon	22d4ccaa3b	feat(langgraph): expose tool_call_id on lifecycle.started.cause Capture the model-side tool_call_id alongside subagent_type/description when mining per-call envelopes (both ToolCallWithContext dict and the single-element list shape), and surface it under cause['tool_call_id']. Identity-level correlation across lifecycle events still uses trigger_call_id (the pregel task id, unique per-call); tool_call_id is purely anchoring metadata so UI consumers can map a lifecycle event back to the AI message tool call that dispatched it. The per-call Send fan-out makes tool_call_id ↔ trigger_call_id 1:1, so re-introducing it here doesn't reintroduce the parallel-call conflation that motivated its earlier removal.	2026-05-07 23:47:52 -04:00
Nick Hollon	4504f85157	refactor(transformers): rename spawn_metadata to invocation_metadata	2026-05-07 16:54:19 -04:00
Nick Hollon	30b0ebe5bf	fix(transformers): also mine spawn metadata from list-shape per-call input langchain v1 create_agent dispatches tool calls via Send("tools", [tool_call]) — a single-element list of tool-call dicts, not the ToolCallWithContext dict envelope used by langgraph prebuilt's create_agent. Both shapes need to feed _record_spawn_metadata so lifecycle.started.cause carries subagent_type / description regardless of which agent factory drove the dispatch.	2026-05-07 16:54:19 -04:00
Nick Hollon	d3a5a6e283	refactor(transformers): drop tool_call_id from LifecyclePayload.cause Cause now carries spawn intent metadata (subagent_type, description) mined from the per-call task's ToolCallWithContext input, keyed off the existing trigger_call_id (pregel task id) which is unique per spawn. Tool_call_id is no longer needed as a join key — consumers that want the model-layer id can look it up themselves; this layer is no longer the indirection point.	2026-05-07 16:54:19 -04:00