release(sdk-py): 0.4.1 (#7944 )

feat(sdk-py): extract stream decoders and add interleave_projections (#7935 )
## Summary Refactors the four (now five) sdk-py streaming projections into reusable, transport-agnostic `Decoder` classes and adds a new `interleave_projections(channels)` method to `AsyncThreadStream` and `SyncThreadStream` that drives multiple decoders from one shared subscription, yielding `(channel_name, item)` tuples in arrival order (the SDK analog of local `GraphRunStream.interleave`). - **New `langgraph_sdk/stream/decoders.py`**: pure `feed(event) -> Iterable[item]` state machines — `ValuesDecoder`, `MessagesDecoder`, `ToolCallsDecoder`, `SubgraphsDecoder`, `ExtensionsDecoder` — behind a `Decoder` Protocol. No subscription/queue/thread access. - **Projection migration (async + sync)**: the five existing projections now delegate their per-event logic to the decoders. Behavior-preserving — the existing test suite is the regression net. Thread-coupled side effects (active-stream registration, terminal-error-on-close, root-inbox forwarding) stay in the projection wrappers; sync messages/tool_calls keep their pre-dispatch contract (handle/stream resolved on yield) via a FIFO-head buffer. - **`interleave_projections`**: flat-namespace channel list (built-ins + extension names), `tool_calls`↔`tools` wire mapping, subgraphs fed every event, extensions keyed by bare name. ### Notable - Fixes a latent sync bug surfaced by the refactor: two tool calls / messages whose events interleave previously dropped the second; both now surface. Locked in with a regression test. - `Decoder.feed` takes `Mapping[str, Any]` (read-only), so the Protocol is load-bearing in both stream files. ### Deferred (not in this PR) - Wiring `RemoteGraph._RemoteGraphRunStream.interleave` to `interleave_projections` (gated on #7927). - Migrating the handle-scoped projections (`_Handle*Projection`) to the decoders — hence the small, verified-identical helper duplication between `decoders.py` and `_async/stream.py`. - `interleave_projections` handles aren't registered for thread-close cleanup (additive follow-up). ## Test Plan - [x] `make test` in `libs/sdk-py` — 464 passed, 0 failures - [x] `make format` / `make lint` (ruff + ty) clean - [x] Per-decoder unit tests in `tests/streaming/test_decoders.py` - [x] `interleave_projections` tests (single-channel, multi-channel arrival order, builtin+extension mix, tool_calls public-name, subgraphs discovery) async + sync - [x] Existing projection suites pass unchanged (regression net for the migration)
2026-08-27 01:52:25 +02:00 · 2026-06-01 11:19:53 -04:00 · 2026-05-29 17:14:14 -04:00 · 2026-05-29 17:13:43 -04:00 · 2026-05-29 16:46:45 -04:00 · 2026-05-29 13:46:10 -07:00
174 changed files with 25848 additions and 1290 deletions
@@ -0,0 +1,85 @@
+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 ${i}s"
+              exit 0
+            fi
+            sleep 2
+          done
+          echo "API failed to become healthy within 120s"
+          docker compose -f libs/sdk-py/integration/docker-compose.yml logs api | tail -100
+          exit 1
+
+      - name: Run integration suite
+        if: env.HAS_LANGSMITH_API_KEY == 'true'
+        run: uv run pytest tests/integration/ -m integration
+
+      - name: Dump api logs on failure
+        if: failure() && env.HAS_LANGSMITH_API_KEY == 'true'
+        working-directory: libs/sdk-py/integration
+        run: docker compose logs api | tail -200
+
+      - name: Tear down stack
+        if: always() && env.HAS_LANGSMITH_API_KEY == 'true'
+        working-directory: libs/sdk-py/integration
+        run: docker compose down -v
@@ -58,14 +58,18 @@ jobs:
          } >> "$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: ${{ steps.compare.outputs.OUTPUT }}
        with:
          script: |
-            const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
-            core.notice(`${{ steps.benchmark.outputs.OUTPUT }}`, {
+            const file = JSON.parse(process.env.CHANGED_FILES || "[]")[0]
+            core.notice(process.env.BENCHMARK_OUTPUT || "", {
              title: 'Benchmark results',
              file,
            })
-            core.notice(`${{ steps.compare.outputs.OUTPUT }}`, {
+            core.notice(process.env.COMPARE_OUTPUT || "", {
              title: 'Comparison against main',
              file,
            })
@@ -28,6 +28,7 @@ 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
@@ -47,6 +48,10 @@ jobs:
            deps:
              - '**/pyproject.toml'
              - '**/uv.lock'
+            sdk_py:
+              - 'libs/sdk-py/**'
+              - 'libs/langgraph/langgraph/pregel/remote.py'
+              - 'libs/langgraph/langgraph/pregel/_remote_run_stream.py'

  lint:
    needs: changes
@@ -156,6 +161,13 @@ 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:
@@ -166,6 +178,7 @@ jobs:
        check-sdk-methods,
        check-schema,
        integration-test,
+        sdk-py-integration-test,
      ]
    if: |
      always()
@@ -32,6 +32,7 @@ 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,
@@ -268,6 +269,7 @@ jobs:
        with:
          python-version: ${{ env.PYTHON_VERSION }}
          cache-suffix: "release"
+          enable-cache: false
          working-directory: ${{ inputs.working-directory }}

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

      - uses: actions/download-artifact@v8
@@ -64,8 +64,6 @@ The suite tests **base** capabilities (required) and **extended** capabilities (
 | `copy_thread` | no | `acopy_thread` |
 | `prune` | no | `aprune` |
 | `delta_channel_history` | no | `aget_delta_channel_history` |
-| `delta_channel_keepset` | no | `aget_delta_channel_keepset` |
-| `delta_channel_reconstruction` | no | `aput` |

 Extended capabilities are detected by checking whether the method is overridden from `BaseCheckpointSaver`. If not overridden, those tests are skipped.

@@ -24,8 +24,6 @@ class Capability(str, Enum):
    COPY_THREAD = "copy_thread"
    PRUNE = "prune"
    DELTA_CHANNEL_HISTORY = "delta_channel_history"
-    DELTA_CHANNEL_KEEPSET = "delta_channel_keepset"
-    DELTA_CHANNEL_RECONSTRUCTION = "delta_channel_reconstruction"


 # Capabilities that every checkpointer must support.
@@ -46,8 +44,6 @@ EXTENDED_CAPABILITIES = frozenset(
        Capability.COPY_THREAD,
        Capability.PRUNE,
        Capability.DELTA_CHANNEL_HISTORY,
-        Capability.DELTA_CHANNEL_KEEPSET,
-        Capability.DELTA_CHANNEL_RECONSTRUCTION,
    }
 )

@@ -64,8 +60,6 @@ _CAPABILITY_METHOD_MAP: dict[Capability, str] = {
    Capability.COPY_THREAD: "acopy_thread",
    Capability.PRUNE: "aprune",
    Capability.DELTA_CHANNEL_HISTORY: "aget_delta_channel_history",
-    Capability.DELTA_CHANNEL_KEEPSET: "aget_tuple",
-    Capability.DELTA_CHANNEL_RECONSTRUCTION: "aput",
 }


@@ -12,12 +12,6 @@ from langgraph.checkpoint.conformance.spec.test_delete_thread import (
 from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
    run_delta_channel_history_tests,
 )
-from langgraph.checkpoint.conformance.spec.test_delta_channel_keepset import (
-    run_delta_channel_keepset_tests,
-)
-from langgraph.checkpoint.conformance.spec.test_delta_channel_reconstruction import (
-    run_delta_channel_reconstruction_tests,
-)
 from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
 from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
 from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
@@ -34,6 +28,4 @@ __all__ = [
    "run_copy_thread_tests",
    "run_prune_tests",
    "run_delta_channel_history_tests",
-    "run_delta_channel_keepset_tests",
-    "run_delta_channel_reconstruction_tests",
 ]
@@ -1,172 +0,0 @@
-"""DELTA_CHANNEL_KEEPSET capability tests — aget_delta_channel_keepset contract."""
-
-from __future__ import annotations
-
-import traceback
-from collections.abc import Callable
-from uuid import uuid4
-
-from langgraph.checkpoint.base import BaseCheckpointSaver
-
-from langgraph.checkpoint.conformance.spec._delta_fixtures import build_delta_chain
-
-
-async def test_keepset_empty_channels_returns_target_only(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """Empty channels → keep-set is just {target_id}."""
-    tid = str(uuid4())
-    configs = await build_delta_chain(
-        saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=4
-    )
-    head = configs[-1]
-    keep = await saver.aget_delta_channel_keepset(config=head, channels=[])
-    head_id = head["configurable"]["checkpoint_id"]
-    assert keep == {head_id}, f"Expected only target, got {keep}"
-
-
-async def test_keepset_snapshot_at_target(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """When target itself has a snapshot, keep-set is just {target_id}."""
-    tid = str(uuid4())
-    configs = await build_delta_chain(
-        saver,
-        thread_id=tid,
-        channel="ch",
-        snapshots_at_steps=[0, 3],
-        total_steps=4,
-    )
-    head = configs[3]
-    keep = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
-    head_id = head["configurable"]["checkpoint_id"]
-    assert keep == {head_id}, f"Snapshot at target should yield only target, got {keep}"
-
-
-async def test_keepset_snapshot_n_back(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """Snapshot N steps back → target + intermediates + snapshot ancestor."""
-    tid = str(uuid4())
-    configs = await build_delta_chain(
-        saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=5
-    )
-    head = configs[-1]
-    keep = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
-    expected_ids = {c["configurable"]["checkpoint_id"] for c in configs}
-    assert keep == expected_ids, f"Expected all ancestors, got {keep}"
-
-
-async def test_keepset_multi_channel_union(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """Multi-channel keep-set is the union (max chain per channel)."""
-    tid = str(uuid4())
-    from langgraph.checkpoint.base import Checkpoint
-    from langgraph.checkpoint.base.id import uuid6
-    from langgraph.checkpoint.serde.types import _DeltaSnapshot
-
-    from langgraph.checkpoint.conformance.test_utils import generate_metadata
-
-    configs: list = []
-    parent_cfg = None
-    for step in range(6):
-        config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
-        if parent_cfg:
-            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
-                "checkpoint_id"
-            ]
-        cv: dict = {}
-        cvs: dict = {}
-        # Channel "a" has snapshot at step 3 (recent)
-        if step == 3:
-            cv["a"] = _DeltaSnapshot("snap_a")
-            cvs["a"] = step + 1
-        # Channel "b" has snapshot at step 1 (further back)
-        if step == 1:
-            cv["b"] = _DeltaSnapshot("snap_b")
-            cvs["b"] = step + 1
-        cp = Checkpoint(
-            v=1,
-            id=str(uuid6(clock_seq=-1)),
-            ts="",
-            channel_values=cv,
-            channel_versions=cvs,
-            versions_seen={},
-            updated_channels=None,
-        )
-        parent_cfg = await saver.aput(config, cp, generate_metadata(step=step), cvs)
-        configs.append(parent_cfg)
-
-    head = configs[-1]
-    keep = await saver.aget_delta_channel_keepset(config=head, channels=["a", "b"])
-    # Union: b needs back to step 1, so steps 1..5 (all except step 0) plus head
-    expected_ids = {c["configurable"]["checkpoint_id"] for c in configs[1:]}
-    expected_ids.add(head["configurable"]["checkpoint_id"])
-    assert keep == expected_ids, f"Expected union, got {keep} vs {expected_ids}"
-
-
-async def test_keepset_walk_to_root(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """No snapshot anywhere → entire chain to root is in keep-set."""
-    tid = str(uuid4())
-    configs = await build_delta_chain(
-        saver, thread_id=tid, channel="ch", snapshots_at_steps=[], total_steps=4
-    )
-    head = configs[-1]
-    keep = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
-    all_ids = {c["configurable"]["checkpoint_id"] for c in configs}
-    assert keep == all_ids, f"Expected full chain, got {keep}"
-
-
-async def test_keepset_deterministic(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """Same inputs return identical sets."""
-    tid = str(uuid4())
-    configs = await build_delta_chain(
-        saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=5
-    )
-    head = configs[-1]
-    keep1 = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
-    keep2 = await saver.aget_delta_channel_keepset(config=head, channels=["ch"])
-    assert keep1 == keep2
-
-
-ALL_DELTA_CHANNEL_KEEPSET_TESTS = [
-    test_keepset_empty_channels_returns_target_only,
-    test_keepset_snapshot_at_target,
-    test_keepset_snapshot_n_back,
-    test_keepset_multi_channel_union,
-    test_keepset_walk_to_root,
-    test_keepset_deterministic,
-]
-
-
-async def run_delta_channel_keepset_tests(
-    saver: BaseCheckpointSaver,
-    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
-) -> tuple[int, int, list[str]]:
-    """Run all delta_channel_keepset tests. Returns (passed, failed, failure_names)."""
-    passed = 0
-    failed = 0
-    failures: list[str] = []
-    for test_fn in ALL_DELTA_CHANNEL_KEEPSET_TESTS:
-        try:
-            await test_fn(saver)
-            passed += 1
-            if on_test_result:
-                on_test_result("delta_channel_keepset", test_fn.__name__, True, None)
-        except Exception:
-            failed += 1
-            msg = f"{test_fn.__name__}: {traceback.format_exc()}"
-            failures.append(msg)
-            if on_test_result:
-                on_test_result(
-                    "delta_channel_keepset",
-                    test_fn.__name__,
-                    False,
-                    traceback.format_exc(),
-                )
-    return passed, failed, failures
@@ -1,164 +0,0 @@
-"""DELTA_CHANNEL_RECONSTRUCTION capability tests — end-to-end round-trip.
-
-Exercises: aput + aput_writes + aget_delta_channel_history + reconstruction.
-This catches the most common silent-corruption mode: failing to round-trip
-`_DeltaSnapshot` blobs through serialization.
-
-NOTE: This test does NOT import from `langgraph` (which is not a dependency
-of checkpoint-conformance). Instead it inlines a minimal reconstruction
-equivalent: seed + fold writes through a simple list-append reducer.
-"""
-
-from __future__ import annotations
-
-import traceback
-from collections.abc import Callable
-from typing import Any
-from uuid import uuid4
-
-from langgraph.checkpoint.base import BaseCheckpointSaver
-
-from langgraph.checkpoint.conformance.spec._delta_fixtures import build_delta_chain
-
-
-def _reconstruct(seed: Any, writes: list) -> list:
-    """Minimal DeltaChannel reconstruction: list-append reducer.
-
-    Mirrors DeltaChannel.from_checkpoint(seed) + replay_writes(writes).
-    """
-    from langgraph.checkpoint.serde.types import _DeltaSnapshot
-
-    if seed is None:
-        base: list = []
-    elif isinstance(seed, _DeltaSnapshot):
-        base = list(seed.value)
-    else:
-        base = list(seed)
-    for _task_id, _ch, value in writes:
-        base = base + value
-    return base
-
-
-async def test_reconstruction_basic(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """Reconstruct delta channel value from history matches expected."""
-    tid = str(uuid4())
-    # 5 steps: snapshot at 0 (value=[0]), writes at 1,2,3,4.
-    # Head = step 4. Walk from parent (step 3) collects writes 1,2,3.
-    configs = await build_delta_chain(
-        saver,
-        thread_id=tid,
-        channel="msgs",
-        snapshots_at_steps=[0],
-        total_steps=5,
-        write_value_fn=lambda step: [step],
-    )
-    head = configs[-1]
-    result = await saver.aget_delta_channel_history(config=head, channels=["msgs"])
-    history = result["msgs"]
-
-    seed = history.get("seed")
-    reconstructed = _reconstruct(seed, history["writes"])
-
-    # seed=[0] from step 0, writes from steps 1,2,3
-    expected = [0] + [1] + [2] + [3]
-    assert reconstructed == expected, (
-        f"Reconstructed {reconstructed} != expected {expected}"
-    )
-
-
-async def test_reconstruction_mid_chain_snapshot(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """Reconstruction works when snapshot is mid-chain."""
-    tid = str(uuid4())
-    # 6 steps: snapshots at 0 and 3, writes at 1,2,4,5.
-    # Head = step 5. Walk from step 4 stops at step 3 (snapshot).
-    # Collects writes from step 4.
-    configs = await build_delta_chain(
-        saver,
-        thread_id=tid,
-        channel="msgs",
-        snapshots_at_steps=[0, 3],
-        total_steps=6,
-        write_value_fn=lambda step: [step],
-    )
-    head = configs[-1]
-    result = await saver.aget_delta_channel_history(config=head, channels=["msgs"])
-    history = result["msgs"]
-
-    seed = history.get("seed")
-    reconstructed = _reconstruct(seed, history["writes"])
-
-    # Snapshot at step 3 = [3], write from step 4
-    expected = [3] + [4]
-    assert reconstructed == expected, (
-        f"Reconstructed {reconstructed} != expected {expected}"
-    )
-
-
-async def test_reconstruction_no_snapshot(
-    saver: BaseCheckpointSaver,
-) -> None:
-    """Reconstruction from root (no snapshot) gives all writes accumulated."""
-    tid = str(uuid4())
-    # 4 steps: no snapshot, writes at 0,1,2,3.
-    # Head = step 3. Walk from step 2 collects writes 0,1,2.
-    configs = await build_delta_chain(
-        saver,
-        thread_id=tid,
-        channel="msgs",
-        snapshots_at_steps=[],
-        total_steps=4,
-        write_value_fn=lambda step: [step],
-    )
-    head = configs[-1]
-    result = await saver.aget_delta_channel_history(config=head, channels=["msgs"])
-    history = result["msgs"]
-
-    seed = history.get("seed")
-    reconstructed = _reconstruct(seed, history["writes"])
-
-    # No seed → start empty, writes from steps 0,1,2
-    expected = [0] + [1] + [2]
-    assert reconstructed == expected, (
-        f"Reconstructed {reconstructed} != expected {expected}"
-    )
-
-
-ALL_DELTA_CHANNEL_RECONSTRUCTION_TESTS = [
-    test_reconstruction_basic,
-    test_reconstruction_mid_chain_snapshot,
-    test_reconstruction_no_snapshot,
-]
-
-
-async def run_delta_channel_reconstruction_tests(
-    saver: BaseCheckpointSaver,
-    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
-) -> tuple[int, int, list[str]]:
-    """Run all reconstruction tests. Returns (passed, failed, failure_names)."""
-    passed = 0
-    failed = 0
-    failures: list[str] = []
-    for test_fn in ALL_DELTA_CHANNEL_RECONSTRUCTION_TESTS:
-        try:
-            await test_fn(saver)
-            passed += 1
-            if on_test_result:
-                on_test_result(
-                    "delta_channel_reconstruction", test_fn.__name__, True, None
-                )
-        except Exception:
-            failed += 1
-            msg = f"{test_fn.__name__}: {traceback.format_exc()}"
-            failures.append(msg)
-            if on_test_result:
-                on_test_result(
-                    "delta_channel_reconstruction",
-                    test_fn.__name__,
-                    False,
-                    traceback.format_exc(),
-                )
-    return passed, failed, failures
@@ -22,12 +22,6 @@ from langgraph.checkpoint.conformance.spec.test_delete_thread import (
 from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
    run_delta_channel_history_tests,
 )
-from langgraph.checkpoint.conformance.spec.test_delta_channel_keepset import (
-    run_delta_channel_keepset_tests,
-)
-from langgraph.checkpoint.conformance.spec.test_delta_channel_reconstruction import (
-    run_delta_channel_reconstruction_tests,
-)
 from langgraph.checkpoint.conformance.spec.test_get_tuple import run_get_tuple_tests
 from langgraph.checkpoint.conformance.spec.test_list import run_list_tests
 from langgraph.checkpoint.conformance.spec.test_prune import run_prune_tests
@@ -45,8 +39,6 @@ _RUNNERS = {
    Capability.COPY_THREAD: run_copy_thread_tests,
    Capability.PRUNE: run_prune_tests,
    Capability.DELTA_CHANNEL_HISTORY: run_delta_channel_history_tests,
-    Capability.DELTA_CHANNEL_KEEPSET: run_delta_channel_keepset_tests,
-    Capability.DELTA_CHANNEL_RECONSTRUCTION: run_delta_channel_reconstruction_tests,
 }


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

 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.0a4"
+version = "3.1.0"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-  "langgraph-checkpoint>=4.1.0a4,<5.0.0",
+  "langgraph-checkpoint>=4.1.0,<5.0.0",
  "orjson>=3.11.5",
  "psycopg>=3.2.0",
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+version = "4.1.1"
 source = { editable = "../checkpoint" }
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@@ -324,7 +324,7 @@ test = [

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+version = "3.1.0"
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@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint-sqlite"
-version = "3.1.0a1"
+version = "3.1.0"
 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>=4.1.0a4,<5.0.0",
+    "langgraph-checkpoint>=4.1.0,<5.0.0",
    "aiosqlite>=0.20",
    "sqlite-vec>=0.1.6",
 ]
@@ -27,8 +27,6 @@ async def test_delta_channel_conformance():
        sqlite_saver,
        capabilities={
            "delta_channel_history",
-            "delta_channel_keepset",
-            "delta_channel_reconstruction",
        },
    )
    for cap, result in report.results.items():
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+    { name = "langchain-protocol" },
    { name = "langsmith" },
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+version = "4.1.1"
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 [[package]]
@@ -60,20 +60,29 @@ class CheckpointMetadata(TypedDict, total=False):
    """
    run_id: str
    """The ID of the run that created this checkpoint."""
-    delta_updates_since_snapshot: dict[str, int]
-    """Per-channel update count since the last `_DeltaSnapshot` was written.
+    counters_since_delta_snapshot: dict[str, tuple[int, int]]
+    """Per-channel counters 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 → 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.
+    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).
    """


@@ -680,123 +689,6 @@ class BaseCheckpointSaver(Generic[V]):
            result[ch] = entry
        return result

-    def get_delta_channel_keepset(
-        self,
-        *,
-        config: RunnableConfig,
-        channels: Sequence[str],
-    ) -> set[str]:
-        """Return ancestor checkpoint_ids that must survive deletion.
-
-        !!! warning "Beta"
-
-            This method is part of the `DeltaChannel` support surface and is
-            in beta. The signature may change while the delta-channel design
-            stabilizes.
-
-        Walks the parent chain from `config` backward, collecting visited
-        checkpoint_ids (inclusive of the target), and terminates per-channel
-        when that channel has a populated `channel_values[ch]` (a
-        `_DeltaSnapshot` blob or a pre-migration plain value). The returned
-        set is the minimum keep-set: every checkpoint_id whose removal would
-        break reconstruction of the listed channels at `config`.
-
-        Pass `channels=[]` to return just `{config.checkpoint_id}` — useful
-        for graphs that don't use `DeltaChannel`.
-
-        Compose this into custom `prune` / `delete_for_runs` / `copy_thread`::
-
-            keep = saver.get_delta_channel_keepset(
-                config=head_config, channels=delta_channels,
-            )
-            delete_rows_not_in(keep)
-
-        Note:
-            The default implementation here uses repeated `get_tuple` calls
-            to walk the parent chain. This is a basic reference implementation
-            suitable for low-frequency maintenance operations (prune, etc.).
-            Custom checkpointer backends may override with a more efficient
-            version tailored to their data model (e.g. a single SQL query
-            with a recursive CTE), but it is not required — the default works
-            correctly for any saver that implements `get_tuple`.
-
-        Args:
-            config: Configuration identifying the target checkpoint.
-            channels: Channel names whose delta history must be preserved.
-                Empty sequence means only the target checkpoint_id is kept.
-
-        Returns:
-            Set of checkpoint_ids that must not be deleted.
-        """
-        target_tuple = self.get_tuple(config)
-        if target_tuple is None:
-            return set()
-        target_id = target_tuple.config["configurable"]["checkpoint_id"]
-        keep: set[str] = {target_id}
-        if not channels:
-            return keep
-        remaining: set[str] = set(channels)
-        for ch in list(remaining):
-            if ch in target_tuple.checkpoint["channel_values"]:
-                remaining.discard(ch)
-        if not remaining:
-            return keep
-        cursor_config: RunnableConfig | None = target_tuple.parent_config
-        while cursor_config is not None and remaining:
-            tup = self.get_tuple(cursor_config)
-            if tup is None:
-                break
-            cid = tup.config["configurable"]["checkpoint_id"]
-            keep.add(cid)
-            for ch in list(remaining):
-                if ch in tup.checkpoint["channel_values"]:
-                    remaining.discard(ch)
-            if not remaining:
-                break
-            cursor_config = tup.parent_config
-        return keep
-
-    async def aget_delta_channel_keepset(
-        self,
-        *,
-        config: RunnableConfig,
-        channels: Sequence[str],
-    ) -> set[str]:
-        """Async version of `get_delta_channel_keepset`.
-
-        !!! warning "Beta"
-
-            This method is part of the `DeltaChannel` support surface and is
-            in beta. See `get_delta_channel_keepset` for full documentation.
-        """
-        target_tuple = await self.aget_tuple(config)
-        if target_tuple is None:
-            return set()
-        target_id = target_tuple.config["configurable"]["checkpoint_id"]
-        keep: set[str] = {target_id}
-        if not channels:
-            return keep
-        remaining: set[str] = set(channels)
-        for ch in list(remaining):
-            if ch in target_tuple.checkpoint["channel_values"]:
-                remaining.discard(ch)
-        if not remaining:
-            return keep
-        cursor_config: RunnableConfig | None = target_tuple.parent_config
-        while cursor_config is not None and remaining:
-            tup = await self.aget_tuple(cursor_config)
-            if tup is None:
-                break
-            cid = tup.config["configurable"]["checkpoint_id"]
-            keep.add(cid)
-            for ch in list(remaining):
-                if ch in tup.checkpoint["channel_values"]:
-                    remaining.discard(ch)
-            if not remaining:
-                break
-            cursor_config = tup.parent_config
-        return keep
-
    def get_next_version(self, current: V | None, channel: None) -> V:
        """Generate the next version ID for a channel.

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

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

@@ -157,27 +157,6 @@ 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
@@ -203,45 +182,46 @@ 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)
-            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]
+            if isclass(cls) and issubclass(cls, BaseException):
+                return None
            args = value.get("args")
            kwargs = value.get("kwargs")
-            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:
+            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__,
+            )
            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
@@ -252,7 +232,7 @@ class JsonPlusSerializer(SerializerProtocol):

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

        raise InvalidModuleError(
-            f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
+            f"Refused to deserialize JSON constructor: {dotted}. "
            "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 = "4.1.0a4"
+version = "4.1.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"
@@ -25,8 +25,6 @@ async def test_delta_channel_conformance():
        mem_saver,
        capabilities={
            "delta_channel_history",
-            "delta_channel_keepset",
-            "delta_channel_reconstruction",
        },
    )
    for cap, result in report.results.items():
@@ -398,6 +398,193 @@ 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 = "3.11"
+version = "3.15"
 source = { registry = "https://pypi.org/simple" }
-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" }
+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" }
 wheels = [
-    { 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" },
+    { 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" },
 ]

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

 [[package]]
 name = "langchain-core"
-version = "1.3.2"
+version = "1.3.3"
 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/a8/03/7219502e8ca728d65eb44d7a3eb60239230742a70dbfc9241b9bfd61c4ab/langchain_core-1.3.2.tar.gz", hash = "sha256:fd7a50b2f28ba561fd9d7f5d2760bc9e06cf00cdf820a3ccafe88a94ffa8d5b7", size = 911813, upload-time = "2026-04-24T15:49:23.699Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
 wheels = [
-    { 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" },
+    { 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]]
@@ -300,7 +300,7 @@ wheels = [

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

 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.8.0"
 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/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
 ]

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

 [[package]]
 name = "urllib3"
-version = "2.6.3"
+version = "2.7.0"
 source = { registry = "https://pypi.org/simple" }
-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" }
+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" }
 wheels = [
-    { 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" },
+    { 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" },
 ]

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

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

 leven@^3.1.0:
  version "3.1.0"
@@ -4848,7 +4847,7 @@ 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": "^2.9.7",
+    "turbo": "^2.9.14",
    "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@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.7.tgz#46fddae01ea7817192dc6ff36a678cc3879b753b"
-  integrity sha512-wnvOWuVWJ5EUHNKxExEWiGlTeVpLG1L0PCu5MUozyC1P2SHGiWsmpW6/yAuShH91Fa2TAHOvdCRBzriZh4j4Eg==
+"@turbo/darwin-64@2.9.14":
+  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-arm64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.7.tgz#cd7cf3a024509af0f59ae3885216d62fd090fdb6"
-  integrity sha512-mA0FIPMwwN3lodDkQYaGxj6PeT7ZaN5aCEbkKn/WB+ZB9yJdVWA4J83GH7t43jqDc5dcnVluVN5UFx3plRiXhA==
+"@turbo/darwin-arm64@2.9.14":
+  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/linux-64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.7.tgz#25ee9a2cb3042498a3203e14653b14041105020f"
-  integrity sha512-fEbUYpgb5l7P+q+5tsWF2gw+/GSjUsuUTcnfm+f0lozUjgcjLKyOat6PgtAChmIFcTPchCL/8rJ3TvkBy01gfA==
+"@turbo/linux-64@2.9.14":
+  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-arm64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.7.tgz#5b19d6249a50cb8153b8f2bc22ad10bbda614fbe"
-  integrity sha512-VkUjulo9ytfHKUHOS5gy0XPoh4CTKPXWCL8nLdrlHVi9fSut31ECeUqnm/dAbETP5D4xo9mH9XkJ+qMzGe/zmg==
+"@turbo/linux-arm64@2.9.14":
+  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/windows-64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.7.tgz#900645776fa44ff8333e801d890992736f6dbc72"
-  integrity sha512-/GWdY6/x4aIHqkYJq596Rpdk1x0MkpRPkJcLAoB3yGRwyUms0+u2F1GnV54IbyAZTeKLRWSJKzNC+QwVGdYchA==
+"@turbo/windows-64@2.9.14":
+  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-arm64@2.9.7":
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.7.tgz#e678d73fdbcbb12a679403fe7ba070fb67f37810"
-  integrity sha512-xBBgxCC5PK2+WZ1PPRZdp+aJ0bMBcEbweXWux3RUHJvX9ZodcoQySkrW6qt+ahb+uk8ZjyQodLfDwtVSoYds1w==
+"@turbo/windows-arm64@2.9.14":
+  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==

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

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

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

-turbo@^2.9.7:
-  version "2.9.7"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.7.tgz#da6d5a821f0bde5174e1a55af6690dad5c2fb004"
-  integrity sha512-epxzqVO2s0IxcSWcgb+qKrtco8isfe7g3VtiS6hkYnEK4A9XQDZbrtavQ6MtWR1KoQn+1fUomaQth2rfRHlUlg==
+turbo@^2.9.14:
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.14.tgz#d412fcc4c9bd8dba29cec5bbd54d5a74ab2b1bee"
+  integrity sha512-BQqXRr4UoWI3UPFrtznCLykYHxwxWh53iCB57x092jPMjIlW1wnm3N895g5irpiXmnxUhREBB0n6+y8BHhs4nw==
  optionalDependencies:
-    "@turbo/darwin-64" "2.9.7"
-    "@turbo/darwin-arm64" "2.9.7"
-    "@turbo/linux-64" "2.9.7"
-    "@turbo/linux-arm64" "2.9.7"
-    "@turbo/windows-64" "2.9.7"
-    "@turbo/windows-arm64" "2.9.7"
+    "@turbo/darwin-64" "2.9.14"
+    "@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"

 type-check@^0.4.0, type-check@~0.4.0:
  version "0.4.0"
@@ -1900,7 +1899,7 @@ 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__ = "0.4.25"
+__version__ = "0.4.27"
@@ -35,6 +35,12 @@ 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:
@@ -123,6 +129,18 @@ 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):
@@ -176,12 +194,12 @@ def validate_config(config: Config) -> Config:
            )
    if api_version:
        try:
-            parts = tuple(map(int, api_version.split("-")[0].split(".")))
+            parts = _parse_api_version_parts(api_version)
            if len(parts) > 3:
                raise ValueError(
                    "Version must be major or major.minor or major.minor.patch."
                )
-        except TypeError:
+        except (TypeError, ValueError):
            raise click.UsageError(
                f"Invalid version format: {api_version}.\n\n"
                "Pin to a minor version, e.g.:\n"
@@ -0,0 +1,141 @@
+"""Detection of tracked Python packages in a local LangGraph project.
+
+Mirrors host-backend's `host.models.dependency_tracking` so that CLI-based
+deploys report the same `tracked_packages` revision metadata that
+GitHub-based deploys do. The host backend strictly validates each entry
+against `<package-name>:<version>` with package-name in `TRACKED_PACKAGES`,
+so the detection rules here must match exactly.
+"""
+
+from __future__ import annotations
+
+import pathlib
+import re
+
+# Single source of truth for which packages the host backend cares about.
+# Keep in sync with host-backend/host/models/tracked_packages.py.
+TRACKED_PACKAGES: tuple[str, ...] = ("google-adk",)
+
+_MAX_READ_BYTES = 5 * 1024 * 1024
+
+_PACKAGES_ALT = "|".join(re.escape(p) for p in TRACKED_PACKAGES)
+
+_DEPS_RE = re.compile(
+    rf"(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})"
+    r"(?:\[[^\]]*\])?"
+    r"\s*((?:(?:==|>=|<=|~=|!=|>|<)\s*[\w.*]+\s*,?\s*)+)"
+)
+
+_UV_LOCK_RE = re.compile(
+    rf'name\s*=\s*"({_PACKAGES_ALT})"\s*\n\s*version\s*=\s*"([^"]+)"'
+)
+
+_BARE_RE = re.compile(rf'(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})(?:\[[^\]]*\])?\s*[,"\'\n]')
+
+_EXTRAS_BRACKET_RE = re.compile(r"\[([a-zA-Z0-9_.\- ,\t]+)\]")
+
+
+def _appears_in_extras(content: str, pkg: str) -> bool:
+    for m in _EXTRAS_BRACKET_RE.finditer(content):
+        for token in m.group(1).split(","):
+            if token.strip() == pkg:
+                return True
+    return False
+
+
+def _read_text(path: pathlib.Path) -> str | None:
+    try:
+        if not path.is_file():
+            return None
+        with open(path, "rb") as f:
+            data = f.read(_MAX_READ_BYTES + 1)
+    except OSError:
+        return None
+    if len(data) > _MAX_READ_BYTES:
+        data = data[:_MAX_READ_BYTES]
+    return data.decode("utf-8", errors="replace")
+
+
+def _find_version_for(
+    pkg: str,
+    lock_content: str | None,
+    pyproject_content: str | None,
+    requirements_content: str | None,
+) -> str | None:
+    if lock_content is not None:
+        for m in _UV_LOCK_RE.finditer(lock_content):
+            if m.group(1) == pkg:
+                return m.group(2)
+    for content in (pyproject_content, requirements_content):
+        if content is None:
+            continue
+        for m in _DEPS_RE.finditer(content):
+            if m.group(1) == pkg:
+                return m.group(2).strip().rstrip(",")
+        for m in _BARE_RE.finditer(content):
+            if m.group(1) == pkg:
+                return "unknown"
+        if _appears_in_extras(content, pkg):
+            return "unknown"
+    return None
+
+
+def _resolved_dep_base(
+    project_root: pathlib.Path, dep_path: str
+) -> pathlib.Path | None:
+    """Return the resolved dep directory if it stays inside the project root."""
+    try:
+        candidate = (project_root / dep_path).resolve()
+    except (OSError, RuntimeError):
+        return None
+    try:
+        candidate.relative_to(project_root)
+    except ValueError:
+        return None
+    return candidate
+
+
+def find_tracked_packages(
+    config: pathlib.Path,
+    config_json: dict,
+) -> list[str]:
+    """Return every tracked package found in deps as `<name>:<version>` entries.
+
+    `config` is the absolute path to `langgraph.json`; dep paths in
+    `config_json["dependencies"]` are resolved relative to its parent.
+    Detection precedence per package: uv.lock resolved > pyproject.toml /
+    requirements.txt specifier > bare reference > extras bracket (last
+    two recorded as "unknown"). Output is ordered by `TRACKED_PACKAGES`.
+    """
+    try:
+        project_root = config.parent.resolve()
+    except (OSError, RuntimeError):
+        return []
+
+    dep_paths = config_json.get("dependencies") or ["."]
+
+    found: dict[str, str] = {}
+
+    for dep_path in dep_paths:
+        if all(pkg in found for pkg in TRACKED_PACKAGES):
+            break
+        if not isinstance(dep_path, str):
+            continue
+        base = _resolved_dep_base(project_root, dep_path)
+        if base is None or not base.is_dir():
+            continue
+
+        lock_content = _read_text(base / "uv.lock")
+        pyproject_content = _read_text(base / "pyproject.toml")
+        requirements_content = _read_text(base / "requirements.txt")
+
+        for pkg in TRACKED_PACKAGES:
+            if pkg in found:
+                continue
+            version = _find_version_for(
+                pkg, lock_content, pyproject_content, requirements_content
+            )
+            if version is not None:
+                found[pkg] = version
+
+    return [f"{pkg}:{found[pkg]}" for pkg in TRACKED_PACKAGES if pkg in found]
@@ -20,6 +20,7 @@ from dotenv import dotenv_values, set_key
 import langgraph_cli.config
 from langgraph_cli.analytics import log_command
 from langgraph_cli.constants import DEFAULT_CONFIG
+from langgraph_cli.dependency_tracking import find_tracked_packages
 from langgraph_cli.docker import build_docker_image, can_build_locally
 from langgraph_cli.exec import Runner, subp_exec
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError
@@ -849,6 +850,41 @@ 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,
@@ -867,6 +903,7 @@ def _run_local_build(
    build_command: str | None,
    docker_build_args: Sequence[str],
    secrets: list[dict[str, str]],
+    tracked_packages: list[str] | None,
 ) -> BuildResult:
    """Build locally with Docker, push to registry, update deployment."""
    # Use buildx to cross-compile for amd64 when running on a non-x86_64 host
@@ -1015,9 +1052,21 @@ 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, remote_image, secrets=secrets)
+        updated = client.update_deployment(
+            deployment_id,
+            resolved_image,
+            secrets=secrets,
+            tracked_packages=tracked_packages,
+        )

    return BuildResult(
        updated=updated if isinstance(updated, dict) else {},
@@ -1039,6 +1088,7 @@ def _run_remote_build(
    install_command: str | None,
    build_command: str | None,
    secrets: list[dict[str, str]],
+    tracked_packages: list[str] | None,
 ) -> BuildResult:
    """Upload source tarball and trigger a remote build."""
    from langgraph_cli.archive import create_archive
@@ -1069,6 +1119,7 @@ def _run_remote_build(
        secrets=secrets,
        install_command=install_command,
        build_command=build_command,
+        tracked_packages=tracked_packages,
    )

    log_offset: str | None = None
@@ -1553,6 +1604,15 @@ def _deploy_cmd(
    if not deployment_id:
        raise click.ClickException("Failed to determine deployment ID")

+    # Scan local sources for tracked packages so the new revision carries
+    # the same metadata GitHub-backed deploys produce. Failures must never
+    # block a deploy.
+    try:
+        tracked_packages = find_tracked_packages(config, config_json) or None
+    except Exception as exc:
+        em.warn(f"Skipped tracked-package scan: {exc}")
+        tracked_packages = None
+
    # -- 3. Build (divergent path) --
    if use_remote_build:
        build_result = _run_remote_build(
@@ -1565,6 +1625,7 @@ def _deploy_cmd(
            install_command=install_command,
            build_command=build_command,
            secrets=secrets,
+            tracked_packages=tracked_packages,
        )
    else:
        build_result = _run_local_build(
@@ -1584,6 +1645,7 @@ def _deploy_cmd(
            build_command=build_command,
            docker_build_args=docker_build_args,
            secrets=secrets,
+            tracked_packages=tracked_packages,
        )

    # -- 4. Shared wait + result --
@@ -122,11 +122,14 @@ class HostBackendClient:
        deployment_id: str,
        image_uri: str,
        secrets: list[dict[str, str]] | None = None,
+        tracked_packages: list[str] | None = None,
    ) -> dict[str, Any]:
        payload: dict[str, Any] = {
            "revision_source": "internal_docker",
            "source_revision_config": {"image_uri": image_uri},
        }
+        if tracked_packages:
+            payload["tracked_packages"] = tracked_packages
        if secrets is not None:
            payload["secrets"] = secrets
        return self._request(
@@ -143,6 +146,7 @@ class HostBackendClient:
        secrets: list[dict[str, str]] | None = None,
        install_command: str | None = None,
        build_command: str | None = None,
+        tracked_packages: list[str] | None = None,
    ) -> dict[str, Any]:
        """Trigger a remote build revision with the uploaded tarball."""
        payload: dict[str, Any] = {
@@ -152,6 +156,8 @@ class HostBackendClient:
                "langgraph_config_path": config_path,
            },
        }
+        if tracked_packages:
+            payload["tracked_packages"] = tracked_packages

        source_config: dict[str, Any] = {}
        if install_command is not None:
@@ -23,7 +23,7 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.10.0 ; python_version >= '3.11'",
    "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]

@@ -2944,6 +2944,23 @@ 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."""

@@ -0,0 +1,134 @@
+import pathlib
+
+import pytest
+
+from langgraph_cli.dependency_tracking import (
+    TRACKED_PACKAGES,
+    find_tracked_packages,
+)
+
+
+def _write_project(
+    tmp_path: pathlib.Path,
+    *,
+    dep_subdir: str = ".",
+    uv_lock: str | None = None,
+    pyproject: str | None = None,
+    requirements: str | None = None,
+    dependencies: list[str] | None = None,
+) -> tuple[pathlib.Path, dict]:
+    project_root = tmp_path
+    dep_dir = (project_root / dep_subdir).resolve()
+    dep_dir.mkdir(parents=True, exist_ok=True)
+    if uv_lock is not None:
+        (dep_dir / "uv.lock").write_text(uv_lock)
+    if pyproject is not None:
+        (dep_dir / "pyproject.toml").write_text(pyproject)
+    if requirements is not None:
+        (dep_dir / "requirements.txt").write_text(requirements)
+    config = project_root / "langgraph.json"
+    config.write_text("{}")
+    config_json = {"dependencies": dependencies or [dep_subdir]}
+    return config, config_json
+
+
+def test_uv_lock_resolved_version_preferred(tmp_path: pathlib.Path) -> None:
+    config, config_json = _write_project(
+        tmp_path,
+        uv_lock='name = "google-adk"\nversion = "1.2.3"\n',
+        pyproject='dependencies = ["google-adk>=0.5"]',
+    )
+    assert find_tracked_packages(config, config_json) == ["google-adk:1.2.3"]
+
+
+def test_pyproject_specifier_used_when_no_lock(tmp_path: pathlib.Path) -> None:
+    config, config_json = _write_project(
+        tmp_path,
+        pyproject='dependencies = ["google-adk>=0.5,<2"]',
+    )
+    assert find_tracked_packages(config, config_json) == ["google-adk:>=0.5,<2"]
+
+
+def test_requirements_txt_specifier(tmp_path: pathlib.Path) -> None:
+    config, config_json = _write_project(
+        tmp_path,
+        requirements="google-adk==1.0.0\n",
+    )
+    assert find_tracked_packages(config, config_json) == ["google-adk:==1.0.0"]
+
+
+def test_bare_reference_records_unknown(tmp_path: pathlib.Path) -> None:
+    config, config_json = _write_project(
+        tmp_path,
+        requirements="google-adk\nother-pkg==1.0\n",
+    )
+    assert find_tracked_packages(config, config_json) == ["google-adk:unknown"]
+
+
+def test_extras_bracket_records_unknown(tmp_path: pathlib.Path) -> None:
+    config, config_json = _write_project(
+        tmp_path,
+        pyproject='dependencies = ["deployments-wrap-sdk[google-adk]>=0.0.1"]',
+    )
+    assert find_tracked_packages(config, config_json) == ["google-adk:unknown"]
+
+
+def test_no_match_returns_empty(tmp_path: pathlib.Path) -> None:
+    config, config_json = _write_project(
+        tmp_path,
+        pyproject='dependencies = ["langgraph>=0.2"]',
+    )
+    assert find_tracked_packages(config, config_json) == []
+
+
+def test_traversal_dep_path_is_skipped(tmp_path: pathlib.Path) -> None:
+    outside = tmp_path.parent / "outside-project"
+    outside.mkdir(exist_ok=True)
+    (outside / "uv.lock").write_text('name = "google-adk"\nversion = "9.9.9"\n')
+    project_root = tmp_path / "project"
+    project_root.mkdir()
+    config = project_root / "langgraph.json"
+    config.write_text("{}")
+    config_json = {"dependencies": ["../outside-project"]}
+    assert find_tracked_packages(config, config_json) == []
+
+
+def test_dep_paths_scanned_in_order(tmp_path: pathlib.Path) -> None:
+    project_root = tmp_path
+    (project_root / "first").mkdir()
+    (project_root / "second").mkdir()
+    (project_root / "second" / "uv.lock").write_text(
+        'name = "google-adk"\nversion = "2.0.0"\n'
+    )
+    config = project_root / "langgraph.json"
+    config.write_text("{}")
+    config_json = {"dependencies": ["first", "second"]}
+    assert find_tracked_packages(config, config_json) == ["google-adk:2.0.0"]
+
+
+def test_non_string_dep_entry_ignored(tmp_path: pathlib.Path) -> None:
+    project_root = tmp_path
+    config = project_root / "langgraph.json"
+    config.write_text("{}")
+    config_json = {"dependencies": [123, None]}
+    assert find_tracked_packages(config, config_json) == []
+
+
+def test_oversized_file_is_truncated_not_raised(tmp_path: pathlib.Path) -> None:
+    project_root = tmp_path
+    config = project_root / "langgraph.json"
+    config.write_text("{}")
+    # 6 MB of irrelevant content followed by the tracked-package marker —
+    # the read cap drops the marker, so nothing should be found.
+    padded = ("x" * (6 * 1024 * 1024)) + '\nname = "google-adk"\nversion = "1.0.0"\n'
+    (project_root / "uv.lock").write_text(padded)
+    assert find_tracked_packages(config, {"dependencies": ["."]}) == []
+
+
+@pytest.mark.parametrize("pkg", TRACKED_PACKAGES)
+def test_every_tracked_package_is_detectable(tmp_path: pathlib.Path, pkg: str) -> None:
+    config, config_json = _write_project(
+        tmp_path,
+        uv_lock=f'name = "{pkg}"\nversion = "1.0.0"\n',
+    )
+    assert find_tracked_packages(config, config_json) == [f"{pkg}:1.0.0"]
@@ -3,6 +3,7 @@ import io
 import json
 import os
 import sys
+from unittest.mock import MagicMock

 import click
 import httpx
@@ -16,6 +17,7 @@ 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,
@@ -532,3 +534,156 @@ 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()
@@ -1,3 +1,5 @@
+import json
+
 import httpx
 import pytest

@@ -176,6 +178,69 @@ def test_update_deployment_no_secrets(client):
    assert result == {"ok": True}


+def _capturing_client(captured: dict) -> HostBackendClient:
+    def handler(req: httpx.Request) -> httpx.Response:
+        captured["body"] = req.read()
+        return httpx.Response(200, json={"ok": True})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    return c
+
+
+def test_update_deployment_forwards_tracked_packages():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment(
+        "dep-123",
+        "image:latest",
+        tracked_packages=["google-adk:1.0.0"],
+    )
+    body = json.loads(captured["body"])
+    assert body["tracked_packages"] == ["google-adk:1.0.0"]
+    assert "tracked_packages" not in body["source_revision_config"]
+
+
+def test_update_deployment_omits_tracked_packages_when_absent():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment("dep-123", "image:latest")
+    body = json.loads(captured["body"])
+    assert "tracked_packages" not in body
+
+
+def test_update_deployment_internal_source_forwards_tracked_packages():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment_internal_source(
+        "dep-123",
+        source_tarball_path="path/to/tarball",
+        config_path="langgraph.json",
+        tracked_packages=["google-adk:>=0.5"],
+    )
+    body = json.loads(captured["body"])
+    assert body["tracked_packages"] == ["google-adk:>=0.5"]
+    assert body["source_revision_config"]["source_tarball_path"] == "path/to/tarball"
+    assert "tracked_packages" not in body["source_revision_config"]
+
+
+def test_update_deployment_internal_source_omits_tracked_packages_when_absent():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment_internal_source(
+        "dep-123",
+        source_tarball_path="path/to/tarball",
+        config_path="langgraph.json",
+    )
+    body = json.loads(captured["body"])
+    assert "tracked_packages" not in body
+
+
 def test_list_revisions(client):
    result = client.list_revisions("dep-123", limit=5)
    assert result == {"ok": True}
@@ -7,6 +7,7 @@ dependencies = [
    "langgraph>=0.6.0,<2",
    "langchain-core>=0.2.14",
    "shared",
+    "langgraph-checkpoint-postgres>=3.0.0"
 ]

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

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

@@ -23,6 +24,7 @@ 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" },
 ]

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

 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
+    { name = "langchain-protocol" },
    { name = "langsmith" },
    { name = "packaging" },
    { name = "pydantic" },
@@ -227,9 +230,21 @@ dependencies = [
    { name = "typing-extensions" },
    { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
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@@ -958,9 +959,21 @@ dependencies = [
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    { name = "uuid-utils", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/92/fe/20190232d9b513242899dbb0c2bb77e31b4d61e343743adbe90ebc2603d2/langchain_core-1.3.0.tar.gz", hash = "sha256:14a39f528bf459aa3aa40d0a7f7f1bae7520d435ef991ae14a4ceb74d8c49046", size = 860755, upload-time = "2026-04-17T14:51:38.298Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f8/e2/dbfa347aa072a6dc4cd38d6f9ebfc730b4c14c258c47f480f4c5c546f177/langchain_core-1.3.0-py3-none-any.whl", hash = "sha256:baf16ee028475df177b9ab8869a751c79406d64a6f12125b93802991b566cced", size = 515140, upload-time = "2026-04-17T14:51:36.274Z" },
+    { 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", marker = "python_full_version >= '3.11'" },
+]
+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" },
 ]

 [[package]]
@@ -1081,7 +1094,7 @@ test = [
 requires-dist = [
    { name = "click", specifier = ">=8.1.7" },
    { name = "httpx", specifier = ">=0.24.0" },
-    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.9.0" },
+    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.10.0" },
    { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
    { name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
    { name = "pathspec", specifier = ">=0.11.0" },
@@ -1161,7 +1174,7 @@ wheels = [

 [[package]]
 name = "langsmith"
-version = "0.7.32"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx", marker = "python_full_version >= '3.11'" },
@@ -1174,9 +1187,9 @@ dependencies = [
    { name = "xxhash", marker = "python_full_version >= '3.11'" },
    { name = "zstandard", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/2f/b4/a0b4a501bee6b8a741ce29f8c48155b132118483cddc6f9247735ddb38fa/langsmith-0.7.32.tar.gz", hash = "sha256:b59b8e106d0e4c4842e158229296086e2aa7c561e3f602acda73d3ad0062e915", size = 1184518, upload-time = "2026-04-15T23:42:41.885Z" }
+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" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/62/bc/148f98ac7dad73ac5e1b1c985290079cfeeb9ba13d760a24f25002beb2c9/langsmith-0.7.32-py3-none-any.whl", hash = "sha256:e1fde928990c4c52f47dc5132708cec674355d9101723d564183e965f383bf5f", size = 378272, upload-time = "2026-04-15T23:42:39.905Z" },
+    { 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" },
 ]

 [package.optional-dependencies]
@@ -2307,11 +2320,11 @@ wheels = [

 [[package]]
 name = "urllib3"
-version = "2.6.3"
+version = "2.7.0"
 source = { registry = "https://pypi.org/simple" }
-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" }
+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" }
 wheels = [
-    { 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" },
+    { 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" },
 ]

 [[package]]
@@ -29,6 +29,9 @@ 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:
@@ -76,6 +79,34 @@ def patch_checkpoint_map(
        return config


+def _merge_callbacks(base: Callbacks, new: Callbacks) -> Callbacks:
+    """Merge two callbacks values (None / list / BaseCallbackManager).
+
+    Six cases total (3 base types x 2 non-None new types).
+    """
+    if new is None:
+        return base
+    if base is None:
+        return new.copy() if isinstance(new, (list, BaseCallbackManager)) else new
+    if isinstance(new, list):
+        if isinstance(base, list):
+            return base + new
+        if isinstance(base, BaseCallbackManager):
+            mngr = base.copy()
+            for cb in new:
+                mngr.add_handler(cb, inherit=True)
+            return mngr
+    elif isinstance(new, BaseCallbackManager):
+        if isinstance(base, list):
+            mngr = new.copy()
+            for cb in base:
+                mngr.add_handler(cb, inherit=True)
+            return mngr
+        if isinstance(base, BaseCallbackManager):
+            return base.merge(new)
+    raise NotImplementedError(f"Unsupported callback types: {type(base)}, {type(new)}")
+
+
 def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
    """Merge multiple configs into one.

@@ -110,34 +141,9 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
                else:
                    base[key] = value
            elif key == "callbacks":
-                base_callbacks = base.get("callbacks")
-                # callbacks can be either None, list[handler] or manager
-                # so merging two callbacks values has 6 cases
-                if isinstance(value, list):
-                    if base_callbacks is None:
-                        base["callbacks"] = value.copy()
-                    elif isinstance(base_callbacks, list):
-                        base["callbacks"] = base_callbacks + value
-                    else:
-                        # base_callbacks is a manager
-                        mngr = base_callbacks.copy()
-                        for callback in value:
-                            mngr.add_handler(callback, inherit=True)
-                        base["callbacks"] = mngr
-                elif isinstance(value, BaseCallbackManager):
-                    # value is a manager
-                    if base_callbacks is None:
-                        base["callbacks"] = value.copy()
-                    elif isinstance(base_callbacks, list):
-                        mngr = value.copy()
-                        for callback in base_callbacks:
-                            mngr.add_handler(callback, inherit=True)
-                        base["callbacks"] = mngr
-                    else:
-                        # base_callbacks is also a manager
-                        base["callbacks"] = base_callbacks.merge(value)
-                else:
-                    raise NotImplementedError
+                base["callbacks"] = _merge_callbacks(
+                    base.get("callbacks"), cast(Callbacks, value)
+                )
            elif key == "recursion_limit":
                if config["recursion_limit"] != DEFAULT_RECURSION_LIMIT:
                    base["recursion_limit"] = config["recursion_limit"]
@@ -306,7 +312,40 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
        for k, v in config.items():
            if _is_not_empty(v) and k in CONFIG_KEYS:
                if k == CONF:
-                    empty[k] = cast(dict, v).copy()
+                    # Shallow-merge configurable dicts across configs so values
+                    # bound via with_config(...) (e.g. ls_agent_type) are
+                    # preserved when later configs (e.g. invoke-time) only
+                    # specify a subset of keys like thread_id.
+                    existing = empty.get(k)
+                    empty[k] = (
+                        {**cast(dict, existing), **cast(dict, v)}
+                        if existing
+                        else cast(dict, v).copy()
+                    )
+                elif k == "callbacks":
+                    empty["callbacks"] = _merge_callbacks(
+                        empty.get("callbacks"), cast(Callbacks, v)
+                    )
+                elif k == "metadata":
+                    # Shallow-merge metadata dicts across configs so values
+                    # bound via with_config(...) (e.g. user_id) are preserved
+                    # when later configs supply other metadata keys.
+                    existing = empty.get("metadata")
+                    empty["metadata"] = (
+                        {**cast(dict, existing), **cast(dict, v)}
+                        if existing
+                        else cast(dict, v).copy()
+                    )
+                elif k == "tags":
+                    # Concatenate tags across configs so values bound via
+                    # with_config(...) are preserved when later configs
+                    # supply additional tags. Matches merge_configs.
+                    existing_tags: list[str] | None = empty.get("tags")
+                    empty["tags"] = (
+                        [*existing_tags, *cast(list, v)]
+                        if existing_tags
+                        else list(cast(list, v))
+                    )
                else:
                    empty[k] = v  # type: ignore[literal-required]
        for k, v in config.items():
@@ -363,3 +402,17 @@ _PROPAGATE_TO_METADATA = frozenset(
        "graph_id",
    )
 )
+
+
+def filter_to_user_tags(tags: Sequence[str] | None) -> list[str] | None:
+    """Drop langgraph's internal `seq:step:*` bookkeeping tags.
+
+    `seq:step:N` tags are added internally to mark sequence steps; everything
+    else (user-supplied tags and any other framework tags) is kept. Returns the
+    surviving tags, or `None` if none remain. Shared by the `messages` and
+    `tasks` stream handlers so both surface the same tag set on their metadata.
+    """
+    if not tags:
+        return None
+    filtered = [t for t in tags if not t.startswith("seq:step")]
+    return filtered or None
@@ -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 `delta_updates_since_snapshot`
+        `_DeltaSnapshot` blob shape, the `counters_since_delta_snapshot`
        metadata field) is not yet stable.

    The reducer receives the current accumulated value and a batch of writes
@@ -47,9 +47,12 @@ 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 per-channel update count. `create_checkpoint`
-    writes a full `_DeltaSnapshot` blob every `snapshot_frequency` updates to
-    this channel, bounding replay depth.
+    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.

    Parameters:
        reducer: `(state, list[writes]) -> new_state`. Must be deterministic
@@ -21,6 +21,7 @@ __all__ = (
    "InvalidUpdateError",
    "GraphBubbleUp",
    "GraphInterrupt",
+    "NodeCancelledError",
    "NodeError",
    "NodeInterrupt",
    "NodeTimeoutError",
@@ -164,6 +165,28 @@ class NodeError:
    """Exception raised by the failed node."""


+class NodeCancelledError(Exception):
+    """Raised when a node body raises ``asyncio.CancelledError`` itself.
+
+    ``asyncio.CancelledError`` is a ``BaseException`` and the pregel runner
+    treats cancelled task futures as silent tear-down (e.g. when it stops
+    sibling tasks after a peer fails). That is the correct behaviour for
+    *framework-initiated* cancellation, but a user node that raises
+    ``asyncio.CancelledError`` from its own body should surface as a node
+    failure, the same way any other exception would.
+
+    The retry layer converts user-raised ``asyncio.CancelledError`` into this
+    type so it flows through the normal error path and the run reports as
+    ``error`` instead of silently succeeding.
+    """
+
+    node: str
+
+    def __init__(self, node: str, message: str | None = None) -> None:
+        super().__init__(message or f"Node {node!r} raised asyncio.CancelledError")
+        self.node = node
+
+
 class NodeTimeoutError(Exception):
    """Raised when a node invocation exceeds one of its configured timeouts.

@@ -6,7 +6,7 @@ import typing
 import warnings
 from collections import defaultdict
 from collections.abc import Awaitable, Callable, Hashable, Sequence
-from dataclasses import is_dataclass
+from dataclasses import dataclass, is_dataclass
 from datetime import timedelta
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
@@ -95,6 +95,17 @@ __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:
@@ -251,10 +262,77 @@ 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 | {
@@ -1193,10 +1271,63 @@ 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 spec.error_handler_node is not None
+            if not spec.is_error_handler and 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
@@ -36,21 +36,26 @@ def empty_checkpoint() -> Checkpoint:

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

-    A channel snapshots when its accumulated update count (since the last
-    snapshot) reaches or exceeds `snapshot_frequency`. This is a pure
+    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
    predicate — no mutation.
    """
-    return {
-        name
-        for name, ch in channels.items()
-        if isinstance(ch, DeltaChannel)
-        and ch.is_available()
-        and counts.get(name, 0) >= ch.snapshot_frequency
-    }
+    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


 def create_checkpoint(
@@ -69,7 +74,7 @@ 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, counts)`; defaults to empty
+    `delta_channels_to_snapshot(channels, counters)`; defaults to empty
    (no snapshots) when not provided.
    """
    ts = datetime.now(timezone.utc).isoformat()
@@ -231,17 +236,3 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
        versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
        updated_channels=checkpoint.get("updated_channels", None),
    )
-
-
-def read_delta_updates_since_snapshot(
-    metadata: CheckpointMetadata | None,
-) -> dict[str, int]:
-    """Read the per-channel update counter from checkpoint metadata.
-
-    Returns an empty dict for missing/None metadata; the dict is
-    `total=False` on `CheckpointMetadata`, so absence means "no prior
-    delta-channel activity tracked."
-    """
-    if not metadata:
-        return {}
-    return dict(metadata.get("delta_updates_since_snapshot", {}) or {})
@@ -115,6 +115,7 @@ 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 (
@@ -203,6 +204,12 @@ 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
@@ -441,6 +448,14 @@ 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,
@@ -474,6 +489,13 @@ 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)
@@ -553,7 +575,7 @@ class PregelLoop:
            self.tasks[pushed.id] = pushed
            # match any pending writes to the new task
            if not self.is_replaying:
-                self._match_writes({pushed.id: pushed})
+                self._reapply_writes_to_succeeded_nodes({pushed.id: pushed})
            # return the new task, to be started if not run before
            return pushed

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

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

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

    # private

-    def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
+    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.
+        """
        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
@@ -978,35 +1076,41 @@ class PregelLoop:
        if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
            # checkpoint already saved
            return
-        # Per-delta-channel update bookkeeping.
+        # 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.
        #
        # `_put_checkpoint` is called once per superstep with a fresh
        # metadata dict (source="input"|"loop"|"fork") — those are the
-        # intermediate calls that bump the count by +1 for each delta
-        # channel touched that step. In exit mode,
+        # intermediate calls that bump counters. In exit mode,
        # `_suppress_interrupt`(will rename to _on_loop_exit soon)
        # additionally calls `_put_checkpoint(self.checkpoint_metadata)` AT
        # EXIT to commit the final checkpoint — this runs *after* the last
        # intermediate call already counted the last superstep. So the
        # exit call must NOT bump again or it would double-count the last
-        # superstep. (Sync/async durability does not call `_put_checkpoint`
-        # at exit, so the issue only surfaces in exit mode. force_delta_snapshot
-        # used to mask this latent bug by resetting every count to 0.)
+        # superstep.
        if not exiting:
-            prev_counts = dict(
-                self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
+            prev_counters = dict(
+                self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
            )
-            new_counts = dict(prev_counts)
-            if self.updated_channels:
-                for ch_name in self.updated_channels:
-                    if isinstance(self.channels.get(ch_name), DeltaChannel):
-                        new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
+            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)
            metadata["step"] = self.step
            metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
            self.checkpoint_metadata = metadata
        else:
-            new_counts = dict(
-                self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
+            new_counters = dict(
+                self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
            )
        # do checkpoint?
        do_checkpoint = self._checkpointer_put_after_previous is not None and (
@@ -1014,7 +1118,7 @@ class PregelLoop:
        )
        # create new checkpoint
        channels_to_snapshot = (
-            delta_channels_to_snapshot(self.channels, new_counts)
+            delta_channels_to_snapshot(self.channels, new_counters)
            if do_checkpoint
            else set()
        )
@@ -1030,11 +1134,12 @@ class PregelLoop:
            channels_to_snapshot=channels_to_snapshot,
        )
        for k in channels_to_snapshot:
-            new_counts[k] = 0
-        if new_counts:
-            self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
-        elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
-            del self.checkpoint_metadata["delta_updates_since_snapshot"]
+            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"]
        # 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()
@@ -1109,8 +1214,10 @@ class PregelLoop:
        ):
            return

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

        pending = [
            (step, tid, ch, v)
@@ -1445,12 +1552,10 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
        handler_node = self.nodes[failed_task.name].error_handler_node
        if not handler_node:
            return None
-        writes = list(failed_task.writes)
-        writes.append((ERROR_SOURCE_NODE, failed_task.name))
-        self.put_writes(
-            failed_task.id,
-            writes,
-        )
+        # 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)
        handler_task = prepare_node_error_handler_task(
            failed_task,
            handler_node_name=handler_node,
@@ -1473,7 +1578,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
            return None
        self.tasks[handler_task.id] = handler_task
        if not self.is_replaying:
-            self._match_writes({handler_task.id: handler_task})
+            self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
        for task in self.match_cached_writes():
            self.output_writes(task.id, task.writes, cached=True)
        return handler_task
@@ -1555,6 +1660,7 @@ 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
        )
@@ -1700,12 +1806,10 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
        handler_node = self.nodes[failed_task.name].error_handler_node
        if not handler_node:
            return None
-        writes = list(failed_task.writes)
-        writes.append((ERROR_SOURCE_NODE, failed_task.name))
-        self.put_writes(
-            failed_task.id,
-            writes,
-        )
+        # 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)
        handler_task = prepare_node_error_handler_task(
            failed_task,
            handler_node_name=handler_node,
@@ -1728,7 +1832,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
            return None
        self.tasks[handler_task.id] = handler_task
        if not self.is_replaying:
-            self._match_writes({handler_task.id: handler_task})
+            self._reapply_writes_to_succeeded_nodes({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
@@ -1813,6 +1917,7 @@ 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
        )
@@ -10,10 +10,12 @@ from typing import (
 from uuid import UUID, uuid4

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

+from langgraph._internal._config import filter_to_user_tags
 from langgraph._internal._constants import NS_SEP
 from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
 from langgraph.pregel.protocol import StreamChunk
@@ -142,9 +144,8 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
            ]
            if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
                return
-            if tags:
-                if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
-                    metadata["tags"] = filtered_tags
+            if (filtered_tags := filter_to_user_tags(tags)) is not None:
+                metadata["tags"] = filtered_tags
            self.metadata[run_id] = (ns, metadata)

    def on_llm_new_token(
@@ -303,6 +304,35 @@ 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,
@@ -376,3 +406,56 @@ 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
@@ -0,0 +1,379 @@
+# libs/langgraph/langgraph/pregel/_remote_run_stream.py
+from __future__ import annotations
+
+import logging
+import sys
+from collections.abc import AsyncIterator, Iterator, Mapping
+from types import TracebackType
+from typing import Any, cast
+
+from langchain_core.runnables import RunnableConfig
+from langgraph_sdk._async.stream import AsyncThreadStream
+from langgraph_sdk._sync.stream import SyncThreadStream
+from langgraph_sdk.client import LangGraphClient, SyncLangGraphClient
+
+from langgraph.types import Command
+
+logger = logging.getLogger(__name__)
+
+
+def _translate_command_input(input: Any) -> Any:
+    """Translate a local `Command` into the v3 wire `input`, else passthrough.
+
+    The v3 server decides start-vs-resume from thread state (an interrupted
+    run or pending interrupts) and, on resume, wraps the whole `input` as
+    `{"resume": input}` itself. So a resume `Command` must surface its raw
+    `resume` value as the wire `input` (not the serialized dataclass, which
+    the server would double-wrap). The v3 `run.start` path has no `goto` /
+    `update` channel, so those are rejected.
+
+    `langgraph_sdk` is upstream of `langgraph`, so this `Command`-aware
+    marshalling lives here on the adapter (langgraph) side of the boundary.
+    """
+    if isinstance(input, Command):
+        if input.goto or input.update:
+            raise NotImplementedError(
+                "RemoteGraph v3 streaming supports `Command(resume=...)` only; "
+                "`goto` / `update` are not supported by the v3 `run.start` path."
+            )
+        return input.resume
+    return input
+
+
+class _ChannelProjection:
+    """Decoded projection for a wire channel the SDK doesn't type natively.
+
+    Subscribes to `channel` and yields each event's `params["data"]` — the same
+    item shape the SDK's typed projections yield (`_ValuesProjection` etc.) and
+    that local's `UpdatesTransformer` / `CheckpointsTransformer` /
+    `TasksTransformer` / `CustomTransformer` push, so iterating this matches the
+    corresponding local projection. Iterate with `for` against a sync stream and
+    `async for` against an async stream (matching the underlying SDK). Opening
+    the subscription requires the stream to be entered (`with` / `async with`).
+    """
+
+    def __init__(self, sdk: AsyncThreadStream | SyncThreadStream, channel: str) -> None:
+        self._sdk = sdk
+        self._channel = channel
+
+    @staticmethod
+    def _data(event: Any) -> Any:
+        """Extract `params.data` from a protocol event, tolerating odd shapes."""
+        params = event.get("params") if isinstance(event, dict) else None
+        return params.get("data") if isinstance(params, dict) else None
+
+    def __iter__(self) -> Iterator[Any]:
+        # Sync lane: the sync adapter's SDK returns a sync iterator here.
+        events = cast(Iterator[Any], self._sdk.subscribe([self._channel]))
+        for event in events:
+            data = self._data(event)
+            if data is not None:
+                yield data
+
+    def __aiter__(self) -> AsyncIterator[Any]:
+        return self._aiter()
+
+    async def _aiter(self) -> AsyncIterator[Any]:
+        # Async lane: the async adapter's SDK returns an async iterator here.
+        events = cast(AsyncIterator[Any], self._sdk.subscribe([self._channel]))
+        async for event in events:
+            data = self._data(event)
+            if data is not None:
+                yield data
+
+
+class _ProjectionRegistry(Mapping[str, Any]):
+    """Read-only name -> projection registry mirroring local `GraphRunStream.extensions`.
+
+    Resolution follows the langchain-protocol wire channels, and every entry
+    yields the same decoded item shape local does (`params.data`):
+
+    - `values` / `messages` / `tool_calls` / `subgraphs` resolve to the SDK's
+      decoded typed projections. `tool_calls` is the `tools` channel — tool
+      *execution* events, distinct from the tool-call *inputs* inside `messages`.
+    - `updates` / `checkpoints` / `tasks` / `custom` have no typed SDK
+      projection, so they resolve to a `_ChannelProjection` that subscribes to
+      the channel and yields `params.data` — matching the local transformer
+      output for those channels.
+    - any other name is a specific custom-extension channel
+      (`thread.extensions[name]`, i.e. `custom:<name>`).
+
+    `lifecycle` is intentionally absent: local derives a status payload from it
+    rather than yielding `params.data`, and the SDK consumes it as control-plane
+    (driving `output` / `interrupted`), so its shape can't be matched — it
+    remains reachable via the raw `events` iterator. `debug` is absent too: it
+    is not a v3 wire channel.
+    """
+
+    # Channels the SDK decodes into typed projections.
+    _TYPED = ("values", "messages", "tool_calls", "subgraphs")
+    # Wire channels with no typed SDK projection — decoded here to match local.
+    _DECODED = ("updates", "checkpoints", "tasks", "custom")
+    _NATIVE = _TYPED + _DECODED
+
+    def __init__(self, sdk: AsyncThreadStream | SyncThreadStream) -> None:
+        self._sdk = sdk
+
+    def __getitem__(self, name: str) -> Any:
+        if name in self._TYPED:
+            return getattr(self._sdk, name)
+        if name in self._DECODED:
+            return _ChannelProjection(self._sdk, name)
+        return self._sdk.extensions[name]
+
+    def __iter__(self) -> Iterator[str]:
+        return iter(self._NATIVE)
+
+    def __len__(self) -> int:
+        return len(self._NATIVE)
+
+
+class _RemoteGraphRunStream:
+    """Sync adapter: SyncThreadStream -> GraphRunStream surface."""
+
+    def __init__(
+        self,
+        *,
+        sync_client: SyncLangGraphClient,
+        sdk_thread: SyncThreadStream,
+        input: Any,
+        config: RunnableConfig | None,
+        metadata: dict[str, Any] | None,
+    ) -> None:
+        self._client = sync_client
+        self._sdk = sdk_thread
+        self._start_kwargs: dict[str, Any] = {
+            "input": _translate_command_input(input),
+            "config": config,
+            "metadata": metadata,
+        }
+        self._run_id: str | None = None
+        self._closed = False
+        self._events_iter: Iterator[Any] | None = None
+
+    def __enter__(self) -> _RemoteGraphRunStream:
+        if self._closed:
+            raise RuntimeError("_RemoteGraphRunStream already closed")
+        self._sdk.__enter__()
+        try:
+            result = self._sdk.run.start(**self._start_kwargs)
+        except BaseException:
+            self._sdk.__exit__(*sys.exc_info())
+            raise
+        self._run_id = result["run_id"]
+        return self
+
+    def __exit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc: BaseException | None,
+        tb: TracebackType | None,
+    ) -> None:
+        if self._closed:
+            return
+        self._closed = True
+        self._sdk.__exit__(exc_type, exc, tb)
+
+    @property
+    def output(self) -> Any:
+        return self._sdk.output
+
+    @property
+    def interrupted(self) -> bool:
+        """Whether the remote run is currently paused at an interrupt.
+
+        Reads the SDK's current value without blocking. This differs from
+        local `GraphRunStream.interrupted`, which drives the run to terminal
+        before returning the flag. Sync callers needing a wait-for-interrupt
+        pattern should switch to the async API and drain a projection.
+        """
+        return self._sdk.interrupted
+
+    @property
+    def interrupts(self) -> list[Any]:
+        """Current outstanding interrupt payloads (non-blocking snapshot)."""
+        return list(self._sdk.interrupts)
+
+    @property
+    def values(self) -> Any:
+        """Live state-snapshot projection (mirrors local `run.values`)."""
+        return self._sdk.values
+
+    @property
+    def messages(self) -> Any:
+        """Live message-stream projection (mirrors local `run.messages`)."""
+        return self._sdk.messages
+
+    @property
+    def subgraphs(self) -> Any:
+        """Subgraph-handle projection (mirrors local `run.subgraphs`)."""
+        return self._sdk.subgraphs
+
+    @property
+    def tool_calls(self) -> Any:
+        """Tool-execution projection (the `tools` channel).
+
+        These are tool *execution* events (started / output / finished),
+        distinct from the tool-call *inputs* carried inside `messages`.
+        """
+        return self._sdk.tool_calls
+
+    @property
+    def extensions(self) -> Mapping[str, Any]:
+        """Name -> projection registry (mirrors local `run.extensions`)."""
+        return _ProjectionRegistry(self._sdk)
+
+    def abort(self) -> None:
+        if self._closed:
+            return
+        self._closed = True
+        if self._run_id is not None:
+            try:
+                self._client.runs.cancel(self._sdk.thread_id, self._run_id, wait=False)
+            except Exception:
+                logger.debug("abort: runs.cancel failed", exc_info=True)
+        try:
+            self._sdk.close()
+        except Exception:
+            logger.debug("abort: sdk.close failed", exc_info=True)
+
+    def __iter__(self) -> Iterator[Any]:
+        if self._events_iter is None:
+            self._events_iter = iter(self._sdk.events)
+        return self._events_iter
+
+    def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
+        raise NotImplementedError
+
+
+class _AsyncRemoteGraphRunStream:
+    """Async adapter: AsyncThreadStream -> AsyncGraphRunStream surface."""
+
+    def __init__(
+        self,
+        *,
+        client: LangGraphClient,
+        sdk_thread: AsyncThreadStream,
+        input: Any,
+        config: RunnableConfig | None,
+        metadata: dict[str, Any] | None,
+    ) -> None:
+        self._client = client
+        self._sdk = sdk_thread
+        self._start_kwargs: dict[str, Any] = {
+            "input": _translate_command_input(input),
+            "config": config,
+            "metadata": metadata,
+        }
+        self._run_id: str | None = None
+        self._closed = False
+        self._events_aiter: AsyncIterator[Any] | None = None
+
+    async def __aenter__(self) -> _AsyncRemoteGraphRunStream:
+        if self._closed:
+            raise RuntimeError("_AsyncRemoteGraphRunStream already closed")
+        await self._sdk.__aenter__()
+        try:
+            result = await self._sdk.run.start(**self._start_kwargs)
+        except BaseException:
+            await self._sdk.__aexit__(*sys.exc_info())
+            raise
+        self._run_id = result["run_id"]
+        return self
+
+    async def __aexit__(
+        self,
+        exc_type: type[BaseException] | None,
+        exc: BaseException | None,
+        tb: TracebackType | None,
+    ) -> None:
+        if self._closed:
+            return
+        self._closed = True
+        await self._sdk.__aexit__(exc_type, exc, tb)
+
+    async def output(self) -> Any:
+        """Drive the remote run to completion and return the final state.
+
+        Awaits the SDK's terminal-state awaitable, matching local
+        `AsyncGraphRunStream.output()` (a method, not a property, so
+        `run.output` without `await` fails at type-check time rather than
+        silently yielding a coroutine).
+        """
+        return await self._sdk.output
+
+    async def interrupted(self) -> bool:
+        """Whether the remote run is currently paused at an interrupt.
+
+        Reads the SDK's current value without blocking. This differs from
+        local `AsyncGraphRunStream.interrupted()`, which drives the run to
+        terminal before returning the flag. Callers that need a
+        wait-for-interrupt pattern should drain a projection (e.g.,
+        `async for snap in stream._sdk.values`) until the SDK's paused
+        sentinel fires, then call this method.
+        """
+        return self._sdk.interrupted
+
+    async def interrupts(self) -> list[Any]:
+        """Current outstanding interrupt payloads.
+
+        Non-blocking; reads the SDK's current snapshot. See `interrupted`
+        for the divergence from local v3 semantics.
+        """
+        return list(self._sdk.interrupts)
+
+    @property
+    def values(self) -> Any:
+        """Live state-snapshot projection (mirrors local `run.values`)."""
+        return self._sdk.values
+
+    @property
+    def messages(self) -> Any:
+        """Live message-stream projection (mirrors local `run.messages`)."""
+        return self._sdk.messages
+
+    @property
+    def subgraphs(self) -> Any:
+        """Subgraph-handle projection (mirrors local `run.subgraphs`)."""
+        return self._sdk.subgraphs
+
+    @property
+    def tool_calls(self) -> Any:
+        """Tool-execution projection (the `tools` channel).
+
+        These are tool *execution* events (started / output / finished),
+        distinct from the tool-call *inputs* carried inside `messages`.
+        """
+        return self._sdk.tool_calls
+
+    @property
+    def extensions(self) -> Mapping[str, Any]:
+        """Name -> projection registry (mirrors local `run.extensions`)."""
+        return _ProjectionRegistry(self._sdk)
+
+    async def abort(self) -> None:
+        if self._closed:
+            return
+        self._closed = True
+        if self._run_id is not None:
+            try:
+                await self._client.runs.cancel(
+                    self._sdk.thread_id, self._run_id, wait=False
+                )
+            except Exception:
+                logger.debug("abort: runs.cancel failed", exc_info=True)
+        try:
+            await self._sdk.close()
+        except Exception:
+            logger.debug("abort: sdk.close failed", exc_info=True)
+
+    def __aiter__(self) -> AsyncIterator[Any]:
+        if self._events_aiter is None:
+            self._events_aiter = self._sdk.events.__aiter__()
+        return self._events_aiter
+
+    # Note: deliberately no `interleave()` on the async adapter. Local
+    # `AsyncGraphRunStream` doesn't have one either (async callers compose
+    # with `asyncio.gather` / `asyncio.as_completed`). The sync adapter
+    # provides `interleave()` because sync callers have no comparable
+    # primitive for iterating multiple iterators concurrently.
@@ -37,13 +37,23 @@ from langgraph._internal._constants import (
 )
 from langgraph._internal._runnable import create_task_in_config_context
 from langgraph._internal._timeout import sync_timeout_unsupported
-from langgraph.errors import GraphBubbleUp, NodeTimeoutError, ParentCommand
+from langgraph.errors import (
+    GraphBubbleUp,
+    NodeCancelledError,
+    NodeTimeoutError,
+    ParentCommand,
+)
 from langgraph.pregel.protocol import StreamProtocol
 from langgraph.runtime import ExecutionInfo, Runtime
 from langgraph.types import Command, PregelExecutableTask, RetryPolicy, TimeoutPolicy

 logger = logging.getLogger(__name__)
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
+# `asyncio.Task.cancelling()` was added in Python 3.11. It reports the number of
+# pending cancel requests on the task: ``0`` means no external code asked us to
+# cancel — so a ``CancelledError`` observed here was raised by the task body
+# itself (the user's node) rather than by pregel cancelling sibling tasks.
+SUPPORTS_TASK_CANCELLING = sys.version_info >= (3, 11)


 def _timeout_secs(value: float | timedelta) -> float:
@@ -302,6 +312,28 @@ class _IdleProgressCallbackHandler(BaseCallbackHandler):
    on_custom_event = _touch


+def _is_user_raised_cancelled() -> bool:
+    """Return True if the in-flight ``CancelledError`` came from the task body.
+
+    Pregel cancels sibling tasks via ``task.cancel()`` when a peer fails, which
+    increments ``asyncio.Task.cancelling()`` on the target before the cancel
+    actually fires. A user node that calls ``raise asyncio.CancelledError()``
+    from inside its own body raises while ``cancelling() == 0``, which is the
+    signal we use to convert the exception into a regular
+    :class:`NodeCancelledError`.
+
+    Returns ``False`` when we can't tell (``cancelling()`` unavailable, or no
+    current task — neither should happen in practice from ``arun_with_retry``)
+    so framework-initiated cancellation continues to propagate unchanged.
+    """
+    if not SUPPORTS_TASK_CANCELLING:
+        return False
+    current = asyncio.current_task()
+    if current is None:
+        return False
+    return current.cancelling() == 0
+
+
 def _drain_cancelled(task: asyncio.Task[Any]) -> None:
    # Mark the abandoned task's exception as retrieved so asyncio doesn't log it.
    with suppress(asyncio.CancelledError):
@@ -600,6 +632,12 @@ def run_with_retry(
        except GraphBubbleUp:
            # if interrupted, end
            raise
+        except asyncio.CancelledError as exc:
+            # A sync node has no asyncio context, so any ``CancelledError`` that
+            # reaches here was raised by the node body itself. Surface it as a
+            # regular exception so the pregel runner panics the run instead of
+            # treating the task as a silent tear-down (LSD-1507).
+            raise NodeCancelledError(task.name) from exc
        except Exception as exc:
            if SUPPORTS_EXC_NOTES:
                exc.add_note(f"During task with name '{task.name}' and id '{task.id}'")
@@ -736,6 +774,24 @@ async def arun_with_retry(
            # if interrupted, end
            _finish_timed_attempt(config, attempt_ctx)
            raise
+        except asyncio.CancelledError as exc:
+            # ``CancelledError`` reaches us in two very different shapes:
+            #   1. Pregel cancelled this task because a sibling failed
+            #      (``asyncio.Task.cancelling() >= 1``). The framework already
+            #      knows the run is failing and we must let cancellation
+            #      propagate so the watchdog/cleanup code in the runner sees a
+            #      cancelled future.
+            #   2. The node body itself raised ``asyncio.CancelledError`` (
+            #      ``cancelling() == 0``). The runner would otherwise treat
+            #      this as silent tear-down and the run would report
+            #      ``success`` even though the node failed (LSD-1507). Convert
+            #      it into :class:`NodeCancelledError` so it follows the same
+            #      path as any other node failure.
+            if _is_user_raised_cancelled():
+                _finish_timed_attempt(config, attempt_ctx, exc)
+                raise NodeCancelledError(task.name) from exc
+            _finish_timed_attempt(config, attempt_ctx, exc)
+            raise
        except Exception as exc:
            _finish_timed_attempt(config, attempt_ctx, exc)
            if SUPPORTS_EXC_NOTES:
@@ -31,6 +31,7 @@ from langgraph._internal._constants import (
    CONFIG_KEY_CALL,
    CONFIG_KEY_SCRATCHPAD,
    ERROR,
+    ERROR_SOURCE_NODE,
    INTERRUPT,
    NO_WRITES,
    RESUME,
@@ -597,7 +598,7 @@ class PregelRunner:
                if self._should_route_to_error_handler(task) and not isinstance(
                    exception, GraphBubbleUp
                ):
-                    # Mark early in commit path; loop-side routing may happen later.
+                    task.writes.append((ERROR_SOURCE_NODE, task.name))
                    self._handled_exception_ids.add(id(exception))
                self.put_writes()(task.id, task.writes)  # type: ignore[misc]
        else:
@@ -6,9 +6,13 @@ from typing import Any
 from uuid import UUID

 from langchain_core.runnables import RunnableConfig
-from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite
+from langgraph.checkpoint.base import (
+    EXCLUDED_METADATA_KEYS,
+    CheckpointMetadata,
+    PendingWrite,
+)

-from langgraph._internal._config import patch_checkpoint_map
+from langgraph._internal._config import filter_to_user_tags, patch_checkpoint_map
 from langgraph._internal._constants import (
    CONF,
    CONFIG_KEY_CHECKPOINT_NS,
@@ -40,12 +44,31 @@ def map_debug_tasks(tasks: Iterable[PregelExecutableTask]) -> Iterator[TaskPaylo
        if task.config is not None and TAG_HIDDEN in task.config.get("tags", []):
            continue

-        yield {
+        payload: TaskPayload = {
            "id": task.id,
            "name": task.name,
            "input": task.input,
            "triggers": task.triggers,
        }
+        # Forward user-meaningful metadata only — drop langgraph's internal
+        # framework keys (langgraph_node/step/triggers/path/checkpoint_ns,
+        # thread_id, ...), which are redundant with the task's own fields and
+        # namespace. Keys like `lc_agent_name`, `ls_integration`, and any
+        # user-supplied metadata ride along. Filtered config tags are folded in
+        # under `tags`, mirroring the messages stream handler. (The comprehension
+        # also yields a fresh dict, so mutating `md` doesn't touch task.config.)
+        if task.config is not None:
+            md = {
+                k: v
+                for k, v in (task.config.get("metadata") or {}).items()
+                if k not in EXCLUDED_METADATA_KEYS
+            }
+            filtered_tags = filter_to_user_tags(task.config.get("tags"))
+            if filtered_tags is not None:
+                md["tags"] = filtered_tags
+            if md:
+                payload["metadata"] = md
+        yield payload


 def is_multiple_channel_write(value: Any) -> bool:
@@ -55,6 +55,10 @@ from langgraph._internal._constants import (
    NS_SEP,
 )
 from langgraph.errors import GraphInterrupt, ParentCommand
+from langgraph.pregel._remote_run_stream import (
+    _AsyncRemoteGraphRunStream,
+    _RemoteGraphRunStream,
+)
 from langgraph.pregel.protocol import PregelProtocol, StreamProtocol
 from langgraph.types import (
    All,
@@ -80,6 +84,8 @@ _CONF_DROPLIST = frozenset(
    ),
 )

+_V3_SUPPORTED_KWARGS = frozenset({"metadata", "headers"})
+

 def _sanitize_config_value(v: Any) -> Any:
    """Recursively sanitize a config value to ensure it contains only primitives."""
@@ -186,6 +192,34 @@ class RemoteGraph(PregelProtocol):
            )
        return self.sync_client

+    def _reject_v3_unsupported(
+        self,
+        *,
+        control: Any,
+        transformers: Any,
+        interrupt_before: Any,
+        interrupt_after: Any,
+        extra_kwargs: dict[str, Any],
+    ) -> None:
+        """Raise NotImplementedError for kwargs unsupported by the v3 streaming path."""
+        for name, value in (
+            ("control", control),
+            ("transformers", transformers),
+            ("interrupt_before", interrupt_before),
+            ("interrupt_after", interrupt_after),
+        ):
+            if value:
+                raise NotImplementedError(
+                    f"RemoteGraph.stream_events(version='v3') does not support `{name}=`."
+                )
+        unknown = set(extra_kwargs) - _V3_SUPPORTED_KWARGS
+        if unknown:
+            raise NotImplementedError(
+                f"RemoteGraph.stream_events(version='v3') does not support "
+                f"the following kwargs: {sorted(unknown)!r}. "
+                f"Supported: {sorted(_V3_SUPPORTED_KWARGS)!r}."
+            )
+
    def copy(self, update: dict[str, Any]) -> Self:
        attrs = {**self.__dict__, **update}
        return self.__class__(attrs.pop("assistant_id"), **attrs)
@@ -996,21 +1030,104 @@ class RemoteGraph(PregelProtocol):
            else:
                yield chunk

+    def stream_events(
+        self,
+        input: Any,
+        config: RunnableConfig | None = None,
+        *,
+        version: Literal["v1", "v2", "v3"] = "v2",
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        control: Any = None,
+        transformers: Sequence[Any] | None = None,
+        headers: dict[str, str] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        """Stream events from this remote graph.
+
+        For `version="v3"`, returns a `_RemoteGraphRunStream` whose surface
+        matches the local `GraphRunStream`. For other versions, delegates to
+        `Runnable.stream_events`.
+        """
+        if version != "v3":
+            return super().stream_events(input, config, version=version, **kwargs)
+        self._reject_v3_unsupported(
+            control=control,
+            transformers=transformers,
+            interrupt_before=interrupt_before,
+            interrupt_after=interrupt_after,
+            extra_kwargs=kwargs,
+        )
+        sync_client = self._validate_sync_client()
+        sanitized = self._sanitize_config(merge_configs(self.config, config))
+        thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
+        merged_headers = (
+            _merge_tracing_headers(headers) if self.distributed_tracing else headers
+        )
+        sdk_thread = sync_client.threads.stream(
+            thread_id=thread_id,
+            assistant_id=self.assistant_id,
+            headers=merged_headers,
+        )
+        return _RemoteGraphRunStream(
+            sync_client=sync_client,
+            sdk_thread=sdk_thread,
+            input=input,
+            config=sanitized,
+            metadata=kwargs.get("metadata"),
+        )
+
    async def astream_events(
        self,
        input: Any,
        config: RunnableConfig | None = None,
        *,
-        version: Literal["v1", "v2"],
-        include_names: Sequence[All] | None = None,
-        include_types: Sequence[All] | None = None,
-        include_tags: Sequence[All] | None = None,
-        exclude_names: Sequence[All] | None = None,
-        exclude_types: Sequence[All] | None = None,
-        exclude_tags: Sequence[All] | None = None,
+        version: Literal["v1", "v2", "v3"] = "v2",
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        control: Any = None,
+        transformers: Sequence[Any] | None = None,
+        headers: dict[str, str] | None = None,
        **kwargs: Any,
-    ) -> AsyncIterator[dict[str, Any]]:
-        raise NotImplementedError
+    ) -> Any:
+        """Async-stream events from this remote graph.
+
+        For `version="v3"`, awaits to an `_AsyncRemoteGraphRunStream`, matching
+        the local `Pregel.astream_events(version="v3")` awaitable contract:
+        `async with await rg.astream_events(..., version="v3") as run`. For
+        `version="v1"`/`"v2"`, raises NotImplementedError (use `astream`).
+        """
+        if version != "v3":
+            raise NotImplementedError(
+                f"RemoteGraph.astream_events(version={version!r}) is not "
+                "implemented; use astream() for v1/v2 streaming or "
+                "version='v3'."
+            )
+        self._reject_v3_unsupported(
+            control=control,
+            transformers=transformers,
+            interrupt_before=interrupt_before,
+            interrupt_after=interrupt_after,
+            extra_kwargs=kwargs,
+        )
+        client = self._validate_client()
+        sanitized = self._sanitize_config(merge_configs(self.config, config))
+        thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
+        merged_headers = (
+            _merge_tracing_headers(headers) if self.distributed_tracing else headers
+        )
+        sdk_thread = client.threads.stream(
+            thread_id=thread_id,
+            assistant_id=self.assistant_id,
+            headers=merged_headers,
+        )
+        return _AsyncRemoteGraphRunStream(
+            client=client,
+            sdk_thread=sdk_thread,
+            input=input,
+            config=sanitized,
+            metadata=kwargs.get("metadata"),
+        )

    @overload
    def invoke(
@@ -62,6 +62,14 @@ 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
@@ -112,14 +120,31 @@ 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.
+        # 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] = []
        if factories is not None:
            for factory in factories:
-                self._register(factory(scope))
+                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()
        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:
@@ -35,7 +35,7 @@ class ProtocolEvent(TypedDict):
    """

    type: Literal["event"]
-    eventId: NotRequired[str]
+    event_id: NotRequired[str]  # snake_case to match the langchain-protocol wire field
    seq: NotRequired[int]
    method: str  # StreamMode value: "values", "messages", "custom", etc.
    params: _ProtocolEventParams
@@ -91,11 +91,28 @@ 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.
@@ -8,8 +8,8 @@ from langchain_core.language_models.chat_model_stream import (
    AsyncChatModelStream,
    ChatModelStream,
 )
-from langchain_core.messages import AIMessageChunk, BaseMessage
-from langchain_protocol.protocol import MessagesData
+from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
+from langchain_protocol.protocol import LifecycleCause, MessagesData
 from typing_extensions import NotRequired, TypedDict

 from langgraph.errors import GraphDrained, GraphInterrupt
@@ -203,6 +203,7 @@ 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
@@ -276,8 +277,10 @@ 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
+        elif (
+            isinstance(payload, BaseMessage)
+            and not isinstance(payload, AIMessageChunk)
+            and not isinstance(payload, ToolMessage)
        ):
            self._route_whole_message(payload, node=node)
        # Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
@@ -295,6 +298,11 @@ 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=[],
@@ -304,6 +312,9 @@ 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)
@@ -319,12 +330,14 @@ 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"]
@@ -353,6 +366,7 @@ class LifecyclePayload(TypedDict, total=False):
    namespace: list[str]
    graph_name: NotRequired[str]
    trigger_call_id: NotRequired[str]
+    cause: NotRequired[LifecycleCause]
    error: NotRequired[str]


@@ -393,6 +407,18 @@ class _TasksLifecycleBase(StreamTransformer):
        # Maps tracked namespace -> task_id of the parent task whose
        # `TaskResultPayload` will close it.
        self._open: dict[tuple[str, ...], str] = {}
+        # lc_agent_name observed at each namespace (first task event wins).
+        # Not read by the base discriminator (which only checks whether the
+        # current task carries an lc_agent_name); maintained as extension state
+        # for subclasses that project named subagents — e.g. a `run.subagents`
+        # transformer reads this to filter to nested runs that have a name.
+        self._lc_by_ns: dict[tuple[str, ...], str | None] = {}
+        # Pregel task_id -> triggering LLM tool_call_id, harvested from a task
+        # whose `input` is a `tool_call_with_context` dict (current shape) or a
+        # list of tool-call dicts (legacy shape). The child subgraph's segment
+        # `node:<task_id>` shares this task_id, so a subagent recovers the tool
+        # call that spawned it (cross-payload).
+        self._pending_tool_calls: dict[str, str] = {}

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

@@ -405,6 +431,8 @@ class _TasksLifecycleBase(StreamTransformer):
        ns: tuple[str, ...],
        graph_name: str | None,
        trigger_call_id: str | None,
+        *,
+        cause: LifecycleCause | None = None,
    ) -> None:
        """Fired once per discovered namespace (first observed task event)."""
        raise NotImplementedError
@@ -430,18 +458,81 @@ class _TasksLifecycleBase(StreamTransformer):
        if "result" in data:
            self._handle_task_result(ns, data)
        else:
-            self._handle_task_start(ns)
+            self._record_identity(ns, data)
+            self._record_pending_tool_calls(data)
+            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 _record_identity(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
+        """Record this namespace's `lc_agent_name` (first task event wins).
+
+        Runs for every task-start event, including `ns == self.scope` and
+        tracked children. Pregel emits parent-namespace tasks before
+        child-namespace tasks, so under that ordering the parent's identity is
+        recorded by the time a child event is evaluated in `_handle_task_start`.
+        """
+        if ns in self._lc_by_ns:
+            return
+        metadata = data.get("metadata") or {}
+        self._lc_by_ns[ns] = metadata.get("lc_agent_name")
+
+    def _record_pending_tool_calls(self, data: dict[str, Any]) -> None:
+        """Harvest a task's triggering tool_call_id keyed by its task id.
+
+        A tool-dispatch task seeds `task_id -> tool_call_id`; the spawned
+        subgraph's namespace segment `node:<task_id>` shares that id, letting
+        a subagent recover the tool call that caused it across payloads. Two
+        input shapes are handled: the current Pregel push model schedules each
+        tool call as its own task whose `input` is a `tool_call_with_context`
+        dict, while a legacy / batched model passes a list of tool-call dicts.
+        """
+        task_id = data.get("id")
+        if not isinstance(task_id, str):
+            return
+        payload = data.get("input")
+        tool_call_id: str | None = None
+        # Current langgraph schedules each tool call as its own push task
+        # whose input is a `tool_call_with_context` dict.
+        if isinstance(payload, dict) and isinstance(payload.get("tool_call"), dict):
+            candidate = payload["tool_call"].get("id")
+            if isinstance(candidate, str):
+                tool_call_id = candidate
+        # Legacy / batched shape: input is a list of tool-call dicts.
+        elif isinstance(payload, list):
+            for tc in payload:
+                if isinstance(tc, dict) and isinstance(tc.get("id"), str):
+                    tool_call_id = tc["id"]  # first wins
+                    break
+        if tool_call_id is not None:
+            self._pending_tool_calls[task_id] = tool_call_id
+
+    def _handle_task_start(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
        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)
+        parsed_name, trigger_call_id = _parse_ns_segment(ns[-1])
+        metadata = data.get("metadata") or {}
+        child_lc = metadata.get("lc_agent_name")
+        # A subagent boundary is any nested run carrying an lc_agent_name (set
+        # by create_agent). Unnamed runs (lc_agent_name None) are excluded.
+        #
+        # A same-named nested agent — e.g. a subagent that invokes itself — is
+        # surfaced because it re-asserts its own lc_agent_name. The trade-off:
+        # a non-agent subgraph invoked inside a tool inherits the parent's
+        # lc_agent_name and will also surface (named after the parent). A caller
+        # that needs to exclude such a graph can null lc_agent_name in the
+        # config it invokes that graph with.
+        is_subagent = child_lc is not None
+        graph_name = child_lc if is_subagent else (parsed_name or None)
+        cause: LifecycleCause | None = None
+        if is_subagent and trigger_call_id is not None:
+            tool_call_id = self._pending_tool_calls.get(trigger_call_id)
+            if tool_call_id:
+                cause = {"type": "toolCall", "tool_call_id": str(tool_call_id)}
+        self._on_started(ns, graph_name, trigger_call_id, cause=cause)
        if trigger_call_id is not None:
            self._open[ns] = trigger_call_id

@@ -540,6 +631,8 @@ class LifecycleTransformer(_TasksLifecycleBase):
        ns: tuple[str, ...],
        graph_name: str | None,
        trigger_call_id: str | None,
+        *,
+        cause: LifecycleCause | None = None,
    ) -> None:
        if trigger_call_id is None:
            # Without a task id we can't correlate a parent-result
@@ -550,6 +643,8 @@ class LifecycleTransformer(_TasksLifecycleBase):
        if graph_name:
            payload["graph_name"] = graph_name
        payload["trigger_call_id"] = trigger_call_id
+        if cause is not None:
+            payload["cause"] = cause
        self._channel.push(payload)

    def _on_terminal(
@@ -612,6 +707,8 @@ class SubgraphTransformer(_TasksLifecycleBase):
        ns: tuple[str, ...],
        graph_name: str | None,
        trigger_call_id: str | None,
+        *,
+        cause: LifecycleCause | None = None,
    ) -> None:
        if self._mux is None:
            return
@@ -620,6 +717,10 @@ class SubgraphTransformer(_TasksLifecycleBase):
        except RuntimeError:
            return
        handle_cls = AsyncSubgraphRunStream if child_mux.is_async else SubgraphRunStream
+        # `cause` is intentionally ignored here: it is a wire/lifecycle-channel
+        # concern (carried on `LifecyclePayload`), not something the in-process
+        # subgraph navigation handle exposes. The argument is accepted only to
+        # keep the `_on_started` template signature uniform across transformers.
        handle = handle_cls(
            mux=child_mux,
            path=ns,
@@ -724,7 +825,12 @@ class SubgraphTransformer(_TasksLifecycleBase):
                for child_ns, status, error in self._pop_terminal_transitions(ns, data):
                    await self._aon_terminal(child_ns, status, error)
            else:
-                self._handle_task_start(ns)
+                # Mirror the sync `process` bookkeeping so the async lane
+                # observes parent identity / tool calls before discriminating
+                # a subagent boundary.
+                self._record_identity(ns, data)
+                self._record_pending_tool_calls(data)
+                self._handle_task_start(ns, data)
            keep = False
        else:
            keep = True
@@ -150,6 +150,16 @@ class TaskPayload(TypedDict):
    """Input data passed to the task."""
    triggers: list[str]
    """List of triggers that caused this task to be executed (e.g. channel writes)."""
+    metadata: NotRequired[dict[str, Any]]
+    """Framework-resolved metadata associated with the task.
+
+    Generic dict carrier following the messages-stream pattern. Populated by
+    `map_debug_tasks` from `task.config["metadata"]` when non-empty, so the
+    same keys `stream_mode="messages"` consumers see (e.g. `lc_agent_name`,
+    `langgraph_node`, `langgraph_step`) are available to stream transformers.
+
+    Consumers should ignore unrecognized keys.
+    """


 class TaskResultPayload(TypedDict):
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "1.2.0a7"
+version = "1.2.2"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -24,10 +24,10 @@ classifiers = [
    'Programming Language :: Python :: 3.13',
 ]
 dependencies = [
-    "langchain-core>=1.4.0a2,<2",
-    "langgraph-checkpoint>=4.1.0a4,<5.0.0",
-    "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.1.0a2,<1.2.0",
+    "langchain-core>=1.4.0,<2",
+    "langgraph-checkpoint>=4.1.0,<5.0.0",
+    "langgraph-sdk>=0.4.0,<0.5.0",
+    "langgraph-prebuilt>=1.1.0,<1.2.0",
    "xxhash>=3.5.0",
    "pydantic>=2.7.4",
 ]
@@ -1,7 +1,8 @@
 import pytest
-from langchain_core.callbacks import AsyncCallbackManager
+from langchain_core.callbacks import AsyncCallbackManager, BaseCallbackHandler

 from langgraph._internal._config import get_async_callback_manager_for_config
+from langgraph.graph import StateGraph

 pytestmark = pytest.mark.anyio

@@ -17,3 +18,99 @@ def test_new_async_manager_merges_tags_with_config() -> None:
    config = {"callbacks": None, "tags": ["a"]}
    manager = get_async_callback_manager_for_config(config, tags=["b"])
    assert manager.inheritable_tags == ["a", "b"]
+
+
+class _TrackingCallback(BaseCallbackHandler):
+    def __init__(self) -> None:
+        self.called = False
+
+    def on_chain_start(self, *args, **kwargs) -> None:  # noqa: ANN002, ANN003
+        self.called = True
+
+
+async def test_with_config_callbacks_preserved_in_astream_events() -> None:
+    """A callback bound via .with_config(...) must survive when
+    astream_events injects its own internal callback handler.
+
+    Pre-fix: ensure_config overwrites the callbacks key, dropping the
+    bound handler. Post-fix: the handler list is merged.
+    """
+    builder = StateGraph(dict)
+    builder.add_node("node", lambda state: state)
+    builder.add_edge("__start__", "node")
+    cb = _TrackingCallback()
+    graph = builder.compile().with_config({"callbacks": [cb]})
+    async for _ in graph.astream_events({}, version="v2"):
+        pass
+    assert cb.called, "user-bound callback was dropped by ensure_config overwrite"
+
+
+async def test_with_config_configurable_preserved_on_invoke() -> None:
+    """A configurable key bound via .with_config(...) must survive when
+    invoke-time config supplies a different configurable key.
+
+    Pre-fix: ensure_config overwrites the entire configurable dict.
+    Post-fix: the two dicts are shallow-merged per key.
+    """
+    builder = StateGraph(dict)
+    captured: dict = {}
+
+    def node(state, config):  # noqa: ANN001
+        captured.update(config.get("configurable") or {})
+        return state
+
+    builder.add_node("node", node)
+    builder.add_edge("__start__", "node")
+    graph = builder.compile().with_config({"configurable": {"ls_agent_type": "root"}})
+    await graph.ainvoke({}, {"configurable": {"thread_id": "T1"}})
+    assert captured.get("ls_agent_type") == "root", (
+        "bound configurable key was dropped by ensure_config overwrite"
+    )
+    assert captured.get("thread_id") == "T1", "invoke-time key not present"
+
+
+async def test_with_config_metadata_preserved_on_invoke() -> None:
+    """A metadata key bound via .with_config(...) must survive when
+    invoke-time config supplies a different metadata key.
+
+    Pre-fix: ensure_config overwrites the entire metadata dict.
+    Post-fix: the two dicts are shallow-merged per key.
+    """
+    builder = StateGraph(dict)
+    captured: dict = {}
+
+    def node(state, config):  # noqa: ANN001
+        captured.update(config.get("metadata") or {})
+        return state
+
+    builder.add_node("node", node)
+    builder.add_edge("__start__", "node")
+    graph = builder.compile().with_config({"metadata": {"user_id": "U1"}})
+    await graph.ainvoke({}, {"metadata": {"correlation_id": "C1"}})
+    assert captured.get("user_id") == "U1", (
+        "bound metadata key was dropped by ensure_config overwrite"
+    )
+    assert captured.get("correlation_id") == "C1", "invoke-time key not present"
+
+
+async def test_with_config_tags_preserved_on_invoke() -> None:
+    """Tags bound via .with_config(...) must survive when invoke-time
+    config supplies its own tags.
+
+    Pre-fix: ensure_config overwrites the entire tags list.
+    Post-fix: tags are concatenated (matching merge_configs behavior;
+    no deduplication, no sorting).
+    """
+    builder = StateGraph(dict)
+    captured: list = []
+
+    def node(state, config):  # noqa: ANN001
+        captured.extend(config.get("tags") or [])
+        return state
+
+    builder.add_node("node", node)
+    builder.add_edge("__start__", "node")
+    graph = builder.compile().with_config({"tags": ["bound"]})
+    await graph.ainvoke({}, {"tags": ["invoke"]})
+    assert "bound" in captured, "bound tag was dropped by ensure_config overwrite"
+    assert "invoke" in captured, "invoke-time tag not present"
@@ -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 delta_updates_since_snapshot
-    after an equivalent run."""
+    """Sync and exit durability produce the same update count in
+    counters_since_delta_snapshot after an equivalent run."""
    for durability in ("sync", "exit"):
        saver = InMemorySaver()
        graph = _build_graph(saver)
@@ -175,9 +175,13 @@ async def test_exit_count_parity_sync_vs_exit() -> None:

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


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

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


@@ -284,7 +290,7 @@ 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
-    delta_updates_since_snapshot increments correctly across runs."""
+    counters_since_delta_snapshot increments correctly across runs."""
    freq = 5
    saver = InMemorySaver()
    graph = _build_graph(saver, freq=freq)
@@ -298,15 +304,16 @@ async def test_exit_metadata_round_trip() -> None:
        )
        head = saver.get_tuple(config)
        assert head is not None
-        count = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
+        counters = head.metadata.get("counters_since_delta_snapshot", {})
+        updates = counters.get("messages", (0, 0))[0]
        cumulative = i * 2
        if cumulative >= freq:
-            assert count == 0 or count == cumulative % freq or count < freq, (
-                f"After run {i}: count={count} should have reset or be partial"
+            assert updates == 0 or updates == cumulative % freq or updates < freq, (
+                f"After run {i}: updates={updates} should have reset or be partial"
            )
        else:
-            assert count == cumulative, (
-                f"After run {i}: expected {cumulative}, got {count}"
+            assert updates == cumulative, (
+                f"After run {i}: expected {cumulative}, got {updates}"
            )


@@ -0,0 +1,140 @@
+"""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}"
+    )
@@ -0,0 +1,195 @@
+"""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"]
@@ -0,0 +1,185 @@
+"""Tests for langgraph.pregel.debug helpers."""
+
+from __future__ import annotations
+
+from langgraph.pregel.debug import map_debug_tasks
+
+
+class _FakeTask:
+    """Minimal stand-in for PregelExecutableTask covering only what map_debug_tasks reads."""
+
+    def __init__(
+        self,
+        *,
+        id: str,
+        name: str,
+        input: object,
+        triggers: list[str],
+        config: dict | None,
+    ) -> None:
+        self.id = id
+        self.name = name
+        self.input = input
+        self.triggers = triggers
+        self.config = config
+
+
+def test_map_debug_tasks_forwards_metadata_when_present() -> None:
+    task = _FakeTask(
+        id="t1",
+        name="tools",
+        input=[],
+        triggers=["x"],
+        config={"metadata": {"lc_agent_name": "weather_agent"}},
+    )
+    payloads = list(map_debug_tasks([task]))
+    assert len(payloads) == 1
+    payload = payloads[0]
+    assert payload["id"] == "t1"
+    assert payload["name"] == "tools"
+    assert payload["metadata"] == {"lc_agent_name": "weather_agent"}
+
+
+def test_map_debug_tasks_omits_metadata_when_empty() -> None:
+    # Empty metadata dict in config: don't include metadata in the payload.
+    task = _FakeTask(
+        id="t1",
+        name="tools",
+        input=[],
+        triggers=["x"],
+        config={"metadata": {}},
+    )
+    payloads = list(map_debug_tasks([task]))
+    assert "metadata" not in payloads[0]
+
+
+def test_map_debug_tasks_omits_metadata_when_absent() -> None:
+    # No metadata key in config: don't include metadata in the payload.
+    task = _FakeTask(
+        id="t1",
+        name="tools",
+        input=[],
+        triggers=["x"],
+        config={},
+    )
+    payloads = list(map_debug_tasks([task]))
+    assert "metadata" not in payloads[0]
+
+
+def test_map_debug_tasks_handles_none_config() -> None:
+    # task.config can be None; should not crash.
+    task = _FakeTask(
+        id="t1",
+        name="tools",
+        input=[],
+        triggers=["x"],
+        config=None,
+    )
+    payloads = list(map_debug_tasks([task]))
+    assert len(payloads) == 1
+    assert "metadata" not in payloads[0]
+
+
+def test_map_debug_tasks_filters_framework_metadata_keys() -> None:
+    """Internal framework keys are dropped from the forwarded metadata; only
+    user-meaningful keys (lc_agent_name, ls_integration, user metadata) ride
+    along. The framework keys (langgraph_*, thread_id, checkpoint_*) are
+    redundant with the task's own fields/namespace.
+    """
+    md = {
+        "lc_agent_name": "weather_agent",
+        "ls_integration": "langchain_create_agent",
+        "my_user_key": "x",
+        "thread_id": "thread-1",
+        "langgraph_step": 1,
+        "langgraph_node": "tools",
+        "langgraph_path": ("__pregel_pull", "tools"),
+        "langgraph_checkpoint_ns": "tools:abc",
+        "checkpoint_ns": "",
+    }
+    task = _FakeTask(
+        id="t1", name="tools", input=[], triggers=["x"], config={"metadata": md}
+    )
+    payload = next(iter(map_debug_tasks([task])))
+    assert payload["metadata"] == {
+        "lc_agent_name": "weather_agent",
+        "ls_integration": "langchain_create_agent",
+        "my_user_key": "x",
+    }
+
+
+def test_map_debug_tasks_omits_metadata_when_only_framework_keys() -> None:
+    """A task whose metadata is entirely framework keys (e.g. a plain
+    StateGraph node) yields no `metadata` key after filtering.
+    """
+    md = {
+        "thread_id": "thread-1",
+        "langgraph_step": 1,
+        "langgraph_node": "worker",
+        "langgraph_checkpoint_ns": "worker:abc",
+        "checkpoint_ns": "",
+    }
+    task = _FakeTask(
+        id="t1", name="worker", input=[], triggers=["x"], config={"metadata": md}
+    )
+    payload = next(iter(map_debug_tasks([task])))
+    assert "metadata" not in payload
+
+
+def test_map_debug_tasks_metadata_is_copied_not_referenced() -> None:
+    """Mutating the source config after emission must not affect the
+    payload — TaskPayload.metadata is a defensive copy.
+    """
+    md = {"lc_agent_name": "a"}
+    task = _FakeTask(
+        id="t1", name="tools", input=[], triggers=["x"], config={"metadata": md}
+    )
+    payload = next(iter(map_debug_tasks([task])))
+    md["lc_agent_name"] = "MUTATED"
+    assert payload["metadata"]["lc_agent_name"] == "a"
+
+
+def test_map_debug_tasks_folds_filtered_tags_into_metadata() -> None:
+    """Config tags are folded into TaskPayload.metadata under `tags`, with
+    langchain's internal `seq:step:*` tags filtered out — mirroring the
+    messages stream handler so both channels surface the same tag set."""
+    task = _FakeTask(
+        id="t1",
+        name="tools",
+        input=[],
+        triggers=["x"],
+        config={
+            "metadata": {"lc_agent_name": "weather_agent"},
+            "tags": ["seq:step:1", "user-tag", "session-123"],
+        },
+    )
+    payload = next(iter(map_debug_tasks([task])))
+    assert payload["metadata"]["lc_agent_name"] == "weather_agent"
+    assert payload["metadata"]["tags"] == ["user-tag", "session-123"]
+
+
+def test_map_debug_tasks_omits_tags_when_only_seq_step() -> None:
+    """If the only tags are internal `seq:step:*` markers, no `tags` key is
+    added (matches the messages handler's `if filtered_tags:` guard)."""
+    task = _FakeTask(
+        id="t1",
+        name="tools",
+        input=[],
+        triggers=["x"],
+        config={"metadata": {"lc_agent_name": "a"}, "tags": ["seq:step:1"]},
+    )
+    payload = next(iter(map_debug_tasks([task])))
+    assert "tags" not in payload["metadata"]
+
+
+def test_map_debug_tasks_adds_tags_even_without_other_metadata() -> None:
+    """Filtered tags surface even when config has no metadata dict."""
+    task = _FakeTask(
+        id="t1",
+        name="tools",
+        input=[],
+        triggers=["x"],
+        config={"tags": ["user-tag"]},
+    )
+    payload = next(iter(map_debug_tasks([task])))
+    assert payload["metadata"] == {"tags": ["user-tag"]}
@@ -0,0 +1,621 @@
+from __future__ import annotations
+
+from unittest.mock import AsyncMock, MagicMock
+
+import pytest
+
+from langgraph.pregel._remote_run_stream import (
+    _AsyncRemoteGraphRunStream,
+    _ChannelProjection,
+    _ProjectionRegistry,
+    _RemoteGraphRunStream,
+    _translate_command_input,
+)
+from langgraph.pregel.remote import (
+    _V3_SUPPORTED_KWARGS,
+    RemoteGraph,
+)
+from langgraph.types import Command
+
+
+def _make_sync_adapter(*, run_start_returns=None, run_start_raises=None):
+    sync_client = MagicMock()
+    sdk_thread = MagicMock()
+    sdk_thread.thread_id = "thread-abc"
+    sdk_thread.__enter__ = MagicMock(return_value=sdk_thread)
+    sdk_thread.__exit__ = MagicMock(return_value=None)
+    sdk_thread.run = MagicMock()
+    if run_start_raises is not None:
+        sdk_thread.run.start = MagicMock(side_effect=run_start_raises)
+    else:
+        sdk_thread.run.start = MagicMock(
+            return_value=run_start_returns or {"run_id": "run-xyz"}
+        )
+    adapter = _RemoteGraphRunStream(
+        sync_client=sync_client,
+        sdk_thread=sdk_thread,
+        input={"x": 1},
+        config={"configurable": {}},
+        metadata=None,
+    )
+    return adapter, sync_client, sdk_thread
+
+
+def test_enter_calls_sdk_enter_then_run_start_and_captures_run_id():
+    adapter, _, sdk_thread = _make_sync_adapter()
+    with adapter as stream:
+        assert stream is adapter
+        sdk_thread.__enter__.assert_called_once()
+        sdk_thread.run.start.assert_called_once_with(
+            input={"x": 1}, config={"configurable": {}}, metadata=None
+        )
+        assert adapter._run_id == "run-xyz"
+
+
+def test_exit_delegates_to_sdk_exit_with_exc_info():
+    adapter, _, sdk_thread = _make_sync_adapter()
+    with adapter:
+        pass
+    sdk_thread.__exit__.assert_called_once_with(None, None, None)
+
+
+def test_enter_unwinds_sdk_cm_when_run_start_raises():
+    adapter, _, sdk_thread = _make_sync_adapter(
+        run_start_raises=RuntimeError("start boom")
+    )
+    with pytest.raises(RuntimeError, match="start boom"):
+        with adapter:
+            pytest.fail("body should not run")
+    sdk_thread.__enter__.assert_called_once()
+    sdk_thread.__exit__.assert_called_once()
+    exc_info = sdk_thread.__exit__.call_args.args
+    assert exc_info[0] is RuntimeError
+    assert isinstance(exc_info[1], RuntimeError)
+    assert adapter._run_id is None
+
+
+def test_output_interrupted_interrupts_passthrough():
+    adapter, _, sdk_thread = _make_sync_adapter()
+    sdk_thread.output = {"foo": 1}
+    sdk_thread.interrupted = True
+    sdk_thread.interrupts = [{"interrupt_id": "i1", "namespace": [], "value": "v"}]
+    with adapter as stream:
+        assert stream.output == {"foo": 1}
+        assert stream.interrupted is True
+        assert stream.interrupts == [
+            {"interrupt_id": "i1", "namespace": [], "value": "v"}
+        ]
+
+
+def test_sync_projection_attrs_forward_to_sdk():
+    adapter, _, sdk_thread = _make_sync_adapter()
+    sdk_thread.values = object()
+    sdk_thread.messages = object()
+    sdk_thread.tool_calls = object()
+    sdk_thread.subgraphs = object()
+    with adapter as stream:
+        assert stream.values is sdk_thread.values
+        assert stream.messages is sdk_thread.messages
+        assert stream.tool_calls is sdk_thread.tool_calls
+        assert stream.subgraphs is sdk_thread.subgraphs
+        assert set(stream.extensions) == set(_ProjectionRegistry._NATIVE)
+        assert stream.extensions["values"] is sdk_thread.values
+
+
+def test_projection_registry_typed_decoded_and_custom():
+    sdk = MagicMock()
+    sdk.values = object()
+    sdk.messages = object()
+    sdk.tool_calls = object()
+    sdk.subgraphs = object()
+    custom_named = object()
+    sdk.extensions = {"my_custom": custom_named}
+    registry = _ProjectionRegistry(sdk)
+
+    # Typed channels resolve to the SDK's decoded projections.
+    assert registry["values"] is sdk.values
+    assert registry["tool_calls"] is sdk.tool_calls
+    assert registry["subgraphs"] is sdk.subgraphs
+    # Channels without a typed projection resolve to a decoding _ChannelProjection.
+    ckpt = registry["checkpoints"]
+    assert isinstance(ckpt, _ChannelProjection)
+    assert ckpt._channel == "checkpoints"
+    assert isinstance(registry["updates"], _ChannelProjection)
+    # A non-protocol name is a specific custom-extension channel.
+    assert registry["my_custom"] is custom_named
+    # Enumerable set is the typed + decoded channels (no `lifecycle`, no `debug`).
+    assert list(registry) == [
+        "values",
+        "messages",
+        "tool_calls",
+        "subgraphs",
+        "updates",
+        "checkpoints",
+        "tasks",
+        "custom",
+    ]
+    assert len(registry) == 8
+
+
+def test_channel_projection_decodes_params_data():
+    sdk = MagicMock()
+    # Two events with data + one malformed/dataless event that must be skipped.
+    sdk.subscribe = MagicMock(
+        return_value=iter(
+            [
+                {"params": {"data": {"n": 1}}},
+                {"params": {}},  # no data -> skipped
+                {"params": {"data": {"n": 2}}},
+                {"unexpected": "shape"},  # not a params dict -> skipped
+            ]
+        )
+    )
+    proj = _ChannelProjection(sdk, "checkpoints")
+    assert list(proj) == [{"n": 1}, {"n": 2}]
+    sdk.subscribe.assert_called_once_with(["checkpoints"])
+
+
+def test_sync_adapter_translates_command_input():
+    sync_client = MagicMock()
+    sdk_thread = MagicMock()
+    adapter = _RemoteGraphRunStream(
+        sync_client=sync_client,
+        sdk_thread=sdk_thread,
+        input=Command(resume="go"),
+        config=None,
+        metadata=None,
+    )
+    assert adapter._start_kwargs["input"] == "go"
+
+
+def test_iter_caches_first_subscription():
+    adapter, _, sdk_thread = _make_sync_adapter()
+    fake_events = [object(), object(), object()]
+    sdk_thread.events = iter(fake_events)
+    with adapter as stream:
+        first = iter(stream)
+        second = iter(stream)
+        assert first is second
+        assert list(first) == fake_events
+
+
+def test_abort_cancels_run_and_closes_sdk():
+    adapter, sync_client, sdk_thread = _make_sync_adapter()
+    with adapter as stream:
+        stream.abort()
+        sync_client.runs.cancel.assert_called_once_with(
+            "thread-abc", "run-xyz", wait=False
+        )
+        sdk_thread.close.assert_called_once()
+
+
+def test_abort_before_enter_skips_cancel_but_closes_sdk():
+    adapter, sync_client, sdk_thread = _make_sync_adapter()
+    adapter.abort()
+    sync_client.runs.cancel.assert_not_called()
+    sdk_thread.close.assert_called_once()
+
+
+def test_abort_is_idempotent():
+    adapter, sync_client, sdk_thread = _make_sync_adapter()
+    with adapter as stream:
+        stream.abort()
+        stream.abort()
+        assert sync_client.runs.cancel.call_count == 1
+        assert sdk_thread.close.call_count == 1
+
+
+def test_abort_swallows_cancel_failure_and_still_closes():
+    adapter, sync_client, sdk_thread = _make_sync_adapter()
+    sync_client.runs.cancel.side_effect = RuntimeError("cancel boom")
+    with adapter as stream:
+        stream.abort()
+        sdk_thread.close.assert_called_once()
+
+
+def test_sync_interleave_raises_not_implemented():
+    adapter, _, _ = _make_sync_adapter()
+    with adapter as stream:
+        with pytest.raises(NotImplementedError):
+            list(stream.interleave("messages"))
+
+
+def test_async_adapter_has_no_interleave():
+    """Async adapter intentionally lacks `interleave` (mirrors local
+    `AsyncGraphRunStream`, which doesn't have one either). Async callers
+    compose with `asyncio.gather` / `asyncio.as_completed`.
+    """
+    assert not hasattr(_AsyncRemoteGraphRunStream, "interleave")
+
+
+def _make_async_adapter(*, run_start_returns=None, run_start_raises=None):
+    client = MagicMock()
+    client.runs.cancel = AsyncMock()
+    sdk_thread = MagicMock()
+    sdk_thread.thread_id = "thread-abc"
+    sdk_thread.__aenter__ = AsyncMock(return_value=sdk_thread)
+    sdk_thread.__aexit__ = AsyncMock(return_value=None)
+    sdk_thread.close = AsyncMock()
+    sdk_thread.run = MagicMock()
+    if run_start_raises is not None:
+        sdk_thread.run.start = AsyncMock(side_effect=run_start_raises)
+    else:
+        sdk_thread.run.start = AsyncMock(
+            return_value=run_start_returns or {"run_id": "run-xyz"}
+        )
+    adapter = _AsyncRemoteGraphRunStream(
+        client=client,
+        sdk_thread=sdk_thread,
+        input={"x": 1},
+        config={"configurable": {}},
+        metadata=None,
+    )
+    return adapter, client, sdk_thread
+
+
+@pytest.mark.anyio
+async def test_aenter_calls_sdk_aenter_then_run_start_and_captures_run_id():
+    adapter, _, sdk_thread = _make_async_adapter()
+    async with adapter as stream:
+        assert stream is adapter
+        sdk_thread.__aenter__.assert_awaited_once()
+        sdk_thread.run.start.assert_awaited_once_with(
+            input={"x": 1}, config={"configurable": {}}, metadata=None
+        )
+        assert adapter._run_id == "run-xyz"
+
+
+@pytest.mark.anyio
+async def test_aexit_delegates_to_sdk_aexit():
+    adapter, _, sdk_thread = _make_async_adapter()
+    async with adapter:
+        pass
+    sdk_thread.__aexit__.assert_awaited_once_with(None, None, None)
+
+
+@pytest.mark.anyio
+async def test_aenter_unwinds_sdk_cm_when_run_start_raises():
+    adapter, _, sdk_thread = _make_async_adapter(
+        run_start_raises=RuntimeError("start boom")
+    )
+    with pytest.raises(RuntimeError, match="start boom"):
+        async with adapter:
+            pytest.fail("body should not run")
+    sdk_thread.__aenter__.assert_awaited_once()
+    sdk_thread.__aexit__.assert_awaited_once()
+    assert adapter._run_id is None
+
+
+@pytest.mark.anyio
+async def test_async_output_interrupted_interrupts_passthrough():
+    adapter, _, sdk_thread = _make_async_adapter()
+
+    async def _fake_output_awaitable():
+        return {"foo": 1}
+
+    sdk_thread.output = _fake_output_awaitable()
+    sdk_thread.interrupted = True
+    sdk_thread.interrupts = [{"interrupt_id": "i1", "namespace": [], "value": "v"}]
+    async with adapter as stream:
+        assert await stream.output() == {"foo": 1}
+        assert await stream.interrupted() is True
+        assert await stream.interrupts() == [
+            {"interrupt_id": "i1", "namespace": [], "value": "v"}
+        ]
+
+
+@pytest.mark.anyio
+async def test_async_projection_attrs_forward_to_sdk():
+    adapter, _, sdk_thread = _make_async_adapter()
+    sdk_thread.values = object()
+    sdk_thread.messages = object()
+    sdk_thread.tool_calls = object()
+    sdk_thread.subgraphs = object()
+    async with adapter as stream:
+        assert stream.values is sdk_thread.values
+        assert stream.messages is sdk_thread.messages
+        assert stream.tool_calls is sdk_thread.tool_calls
+        assert stream.subgraphs is sdk_thread.subgraphs
+        assert set(stream.extensions) == set(_ProjectionRegistry._NATIVE)
+        assert stream.extensions["messages"] is sdk_thread.messages
+
+
+@pytest.mark.anyio
+async def test_aiter_caches_first_subscription():
+    adapter, _, sdk_thread = _make_async_adapter()
+
+    class _FakeAsyncEvents:
+        def __init__(self, items):
+            self._items = list(items)
+
+        def __aiter__(self):
+            return self
+
+        async def __anext__(self):
+            if not self._items:
+                raise StopAsyncIteration
+            return self._items.pop(0)
+
+    sdk_thread.events = _FakeAsyncEvents([object(), object()])
+    async with adapter as stream:
+        first = stream.__aiter__()
+        second = stream.__aiter__()
+        assert first is second
+
+
+@pytest.mark.anyio
+async def test_async_abort_cancels_run_and_closes_sdk():
+    adapter, client, sdk_thread = _make_async_adapter()
+    async with adapter as stream:
+        await stream.abort()
+        client.runs.cancel.assert_awaited_once_with("thread-abc", "run-xyz", wait=False)
+        sdk_thread.close.assert_awaited_once()
+
+
+@pytest.mark.anyio
+async def test_async_abort_before_aenter_skips_cancel():
+    adapter, client, sdk_thread = _make_async_adapter()
+    await adapter.abort()
+    client.runs.cancel.assert_not_awaited()
+    sdk_thread.close.assert_awaited_once()
+
+
+@pytest.mark.anyio
+async def test_async_abort_swallows_cancel_failure():
+    adapter, client, sdk_thread = _make_async_adapter()
+    client.runs.cancel.side_effect = RuntimeError("cancel boom")
+    async with adapter as stream:
+        await stream.abort()
+        sdk_thread.close.assert_awaited_once()
+
+
+def _make_remote_graph() -> RemoteGraph:
+    sync_client = MagicMock()
+    async_client = MagicMock()
+    rg = RemoteGraph(
+        "agent",
+        client=async_client,
+        sync_client=sync_client,
+    )
+    return rg
+
+
+def test_reject_v3_unsupported_passes_when_all_clear():
+    rg = _make_remote_graph()
+    rg._reject_v3_unsupported(
+        control=None,
+        transformers=None,
+        interrupt_before=None,
+        interrupt_after=None,
+        extra_kwargs={},
+    )
+
+
+@pytest.mark.parametrize(
+    "kwarg_name,kwarg_value",
+    [
+        ("control", object()),
+        ("transformers", [object()]),
+        ("interrupt_before", ["node_a"]),
+        ("interrupt_after", ["node_b"]),
+    ],
+)
+def test_reject_v3_unsupported_raises_per_kwarg(kwarg_name, kwarg_value):
+    rg = _make_remote_graph()
+    kwargs = dict(
+        control=None,
+        transformers=None,
+        interrupt_before=None,
+        interrupt_after=None,
+        extra_kwargs={},
+    )
+    kwargs[kwarg_name] = kwarg_value
+    with pytest.raises(NotImplementedError, match=f"`{kwarg_name}=`"):
+        rg._reject_v3_unsupported(**kwargs)
+
+
+def test_reject_v3_unsupported_raises_on_unknown_extra_kwarg():
+    rg = _make_remote_graph()
+    with pytest.raises(NotImplementedError, match="context"):
+        rg._reject_v3_unsupported(
+            control=None,
+            transformers=None,
+            interrupt_before=None,
+            interrupt_after=None,
+            extra_kwargs={"context": {}},
+        )
+
+
+def test_reject_v3_unsupported_allows_metadata_and_headers():
+    rg = _make_remote_graph()
+    rg._reject_v3_unsupported(
+        control=None,
+        transformers=None,
+        interrupt_before=None,
+        interrupt_after=None,
+        extra_kwargs={"metadata": {"a": 1}, "headers": {"X": "y"}},
+    )
+
+
+def test_translate_command_input_surfaces_raw_resume_value():
+    # The v3 server wraps the resume `input` as {"resume": input} itself, so the
+    # wire `input` must be the raw resume value, not the serialized dataclass.
+    assert _translate_command_input(Command(resume="go")) == "go"
+    assert _translate_command_input(Command(resume={"id": "v"})) == {"id": "v"}
+
+
+def test_translate_command_input_rejects_goto_and_update():
+    with pytest.raises(NotImplementedError, match="goto"):
+        _translate_command_input(Command(goto="node_b"))
+    with pytest.raises(NotImplementedError, match="update"):
+        _translate_command_input(Command(update={"a": 1}))
+
+
+def test_translate_command_input_passes_through_non_command():
+    assert _translate_command_input({"a": 1}) == {"a": 1}
+    assert _translate_command_input(None) is None
+
+
+def test_v3_supported_kwargs_known_set():
+    assert _V3_SUPPORTED_KWARGS == frozenset({"metadata", "headers"})
+
+
+def test_stream_events_v3_constructs_sdk_thread_with_sanitized_args():
+    sync_client = MagicMock()
+    sdk_thread = MagicMock()
+    sync_client.threads.stream.return_value = sdk_thread
+    rg = RemoteGraph(
+        "agent",
+        client=MagicMock(),
+        sync_client=sync_client,
+    )
+    result = rg.stream_events(
+        {"input_key": 1},
+        config={"configurable": {"thread_id": "t1", "user": "u"}},
+        version="v3",
+    )
+    assert isinstance(result, _RemoteGraphRunStream)
+    sync_client.threads.stream.assert_called_once()
+    call = sync_client.threads.stream.call_args
+    assert call.kwargs["thread_id"] == "t1"
+    assert call.kwargs["assistant_id"] == "agent"
+    assert call.kwargs["headers"] is None
+
+
+def test_stream_events_v3_passes_none_thread_id_when_absent():
+    sync_client = MagicMock()
+    sync_client.threads.stream.return_value = MagicMock()
+    rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
+    rg.stream_events({"x": 1}, version="v3")
+    call = sync_client.threads.stream.call_args
+    assert call.kwargs["thread_id"] is None
+
+
+def test_stream_events_v3_rejects_unsupported_kwargs_before_sdk_call():
+    sync_client = MagicMock()
+    rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
+    with pytest.raises(NotImplementedError, match="control"):
+        rg.stream_events({"x": 1}, version="v3", control=object())
+    sync_client.threads.stream.assert_not_called()
+
+
+def test_stream_events_v3_translates_command_input():
+    sync_client = MagicMock()
+    sync_client.threads.stream.return_value = MagicMock()
+    rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
+    # Resume Command surfaces its raw resume value as the wire `input`; the v3
+    # server wraps it as {"resume": input} once it detects the interrupt.
+    adapter = rg.stream_events(Command(resume="go"), version="v3")
+    assert adapter._start_kwargs["input"] == "go"
+
+
+def test_stream_events_v3_rejects_goto_update_command():
+    rg = RemoteGraph("agent", client=MagicMock(), sync_client=MagicMock())
+    with pytest.raises(NotImplementedError, match="goto"):
+        rg.stream_events(Command(goto="node_b"), version="v3")
+
+
+def test_stream_events_v3_strips_checkpoint_keys_from_configurable():
+    sync_client = MagicMock()
+    sync_client.threads.stream.return_value = MagicMock()
+    rg = RemoteGraph("agent", client=MagicMock(), sync_client=sync_client)
+    adapter = rg.stream_events(
+        {"x": 1},
+        config={
+            "configurable": {
+                "thread_id": "t1",
+                "checkpoint_id": "c1",
+                "checkpoint_ns": "ns",
+                "user": "u",
+            }
+        },
+        version="v3",
+    )
+    sent_config = adapter._start_kwargs["config"]
+    assert "checkpoint_id" not in sent_config["configurable"]
+    assert "checkpoint_ns" not in sent_config["configurable"]
+    assert sent_config["configurable"]["user"] == "u"
+
+
+def test_stream_events_v3_merges_tracing_headers_when_distributed_tracing(
+    monkeypatch,
+):
+    from langgraph.pregel import remote as remote_mod
+
+    sync_client = MagicMock()
+    sync_client.threads.stream.return_value = MagicMock()
+    rg = RemoteGraph(
+        "agent",
+        client=MagicMock(),
+        sync_client=sync_client,
+        distributed_tracing=True,
+    )
+    captured = {}
+
+    def fake_merge(headers):
+        captured["arg"] = headers
+        return {"x-ls-trace": "1", **(headers or {})}
+
+    monkeypatch.setattr(remote_mod, "_merge_tracing_headers", fake_merge)
+    rg.stream_events({"x": 1}, version="v3", headers={"X-Custom": "y"})
+    assert captured["arg"] == {"X-Custom": "y"}
+    sent_headers = sync_client.threads.stream.call_args.kwargs["headers"]
+    assert sent_headers["x-ls-trace"] == "1"
+    assert sent_headers["X-Custom"] == "y"
+
+
+def test_stream_events_v3_passes_headers_unchanged_without_tracing():
+    sync_client = MagicMock()
+    sync_client.threads.stream.return_value = MagicMock()
+    rg = RemoteGraph(
+        "agent",
+        client=MagicMock(),
+        sync_client=sync_client,
+        distributed_tracing=False,
+    )
+    rg.stream_events({"x": 1}, version="v3", headers={"X-Custom": "y"})
+    sent_headers = sync_client.threads.stream.call_args.kwargs["headers"]
+    assert sent_headers == {"X-Custom": "y"}
+
+
+def test_stream_events_non_v3_delegates_to_super():
+    rg = RemoteGraph("agent", client=MagicMock(), sync_client=MagicMock())
+    sync_client_attr = rg.sync_client
+    try:
+        rg.stream_events({"x": 1}, version="v2")
+    except Exception:
+        pass
+    sync_client_attr.threads.stream.assert_not_called()
+
+
+@pytest.mark.anyio
+async def test_astream_events_v3_constructs_sdk_thread():
+    client = MagicMock()
+    sdk_thread = MagicMock()
+    client.threads.stream.return_value = sdk_thread
+    rg = RemoteGraph("agent", client=client, sync_client=MagicMock())
+    result = await rg.astream_events(
+        {"x": 1},
+        config={"configurable": {"thread_id": "t1"}},
+        version="v3",
+    )
+    assert isinstance(result, _AsyncRemoteGraphRunStream)
+    call = client.threads.stream.call_args
+    assert call.kwargs["thread_id"] == "t1"
+    assert call.kwargs["assistant_id"] == "agent"
+
+
+@pytest.mark.anyio
+async def test_astream_events_v3_rejects_unsupported_kwargs():
+    client = MagicMock()
+    rg = RemoteGraph("agent", client=client, sync_client=MagicMock())
+    with pytest.raises(NotImplementedError, match="transformers"):
+        await rg.astream_events({"x": 1}, version="v3", transformers=[object()])
+    client.threads.stream.assert_not_called()
+
+
+@pytest.mark.anyio
+async def test_astream_events_non_v3_raises_not_implemented():
+    rg = RemoteGraph("agent", client=MagicMock(), sync_client=MagicMock())
+    with pytest.raises(NotImplementedError, match="not implemented"):
+        await rg.astream_events({"x": 1}, version="v2")
@@ -1,4 +1,5 @@
 import asyncio
+import contextlib
 import operator
 import sys
 import threading
@@ -15,7 +16,7 @@ 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 RunnableLambda, RunnableParallel
+from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnableParallel
 from langgraph.checkpoint.memory import InMemorySaver, MemorySaver
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
 from typing_extensions import TypedDict
@@ -35,7 +36,13 @@ from langgraph._internal._runnable import RunnableCallable
 from langgraph._internal._timeout import coerce_timeout_policy
 from langgraph.channels.ephemeral_value import EphemeralValue
 from langgraph.channels.last_value import LastValue
-from langgraph.errors import GraphInterrupt, NodeError, NodeTimeoutError, ParentCommand
+from langgraph.errors import (
+    GraphInterrupt,
+    NodeCancelledError,
+    NodeError,
+    NodeTimeoutError,
+    ParentCommand,
+)
 from langgraph.func import entrypoint, task
 from langgraph.graph import END, START, StateGraph, add_messages
 from langgraph.pregel import NodeBuilder, Pregel
@@ -63,6 +70,18 @@ NEEDS_CONTEXTVARS = pytest.mark.skipif(
    reason="Python 3.11+ is required for async contextvars support",
 )

+# `asyncio.Task.cancelling()` is Python 3.11+. The LSD-1507 fix in
+# `langgraph/pregel/_retry.py` falls back to a no-op on 3.10 (preserves the
+# existing CancelledError-as-silent-tear-down behaviour) because there is no
+# reliable way to distinguish user-raised from framework-initiated
+# cancellation without that API. Tests for the converted behaviour gate on
+# the same Python version boundary.
+NEEDS_TASK_CANCELLING = pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="LSD-1507 user-cancellation conversion requires Python 3.11+ "
+    "(asyncio.Task.cancelling)",
+)
+

 def test_should_retry_on_single_exception():
    """Test retry with a single exception type."""
@@ -1674,15 +1693,28 @@ async def test_arun_with_retry_timeout_observer_tracks_attempts():
 async def test_arun_with_retry_timeout_observer_emits_progress_on_heartbeat():
    events: list = []

+    # `_TimedAttemptScope.__init__` sets `_last_progress` to `time.monotonic()`,
+    # but the watchdog itself doesn't start running until after `wrap_config`
+    # and task scheduling — under CI load that gap can be large enough to eat
+    # the entire idle window before the task body's first await even runs. We
+    # defend against that by:
+    #   1. Using a generous idle_timeout so scheduling slack stays well within it.
+    #   2. Calling `runtime.heartbeat()` BEFORE the first sleep, which resets
+    #      `_last_progress` to "now" the moment the task body actually starts.
+    idle_timeout_s = 1.0
+
    class HeartbeatProc:
        async def ainvoke(self, input, config):
            runtime = config[CONF][CONFIG_KEY_RUNTIME]
+            runtime.heartbeat()  # reset the idle clock at task-body entry
            for _ in range(8):
                await asyncio.sleep(0.05)
                runtime.heartbeat()
            return "ok"

-    task = _make_task(HeartbeatProc(), timeout=_idle_timeout(0.2), name="heartbeat")
+    task = _make_task(
+        HeartbeatProc(), timeout=_idle_timeout(idle_timeout_s), name="heartbeat"
+    )
    task.config[CONF][CONFIG_KEY_TIMED_ATTEMPT_OBSERVER] = events.append
    assert await arun_with_retry(task, retry_policy=None) == "ok"

@@ -1691,13 +1723,13 @@ async def test_arun_with_retry_timeout_observer_emits_progress_on_heartbeat():
    assert by_event[-1] == "finish"
    progress = [ev for ev in events if ev.event == "progress"]
    assert progress, "expected at least one progress event from heartbeat"
-    # Rate limit is `idle_timeout / 4` = 0.05s; with 8 heartbeats spaced ~0.05s
-    # we should see at most ~one progress event per heartbeat (well below 8).
+    # Rate limit is `idle_timeout / 4` = 0.25s; with the task running for
+    # ~400ms we expect 1–2 progress events (well below the 9 heartbeats).
    assert len(progress) <= len(by_event)
    for ev in progress:
        assert ev.context.task_name == "heartbeat"
        assert ev.context.attempt == 1
-        assert ev.context.idle_timeout_secs == 0.2
+        assert ev.context.idle_timeout_secs == idle_timeout_s
        assert isinstance(ev.progress_at, datetime)


@@ -2267,3 +2299,645 @@ 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"]
+
+
+@NEEDS_TASK_CANCELLING
+@pytest.mark.anyio
+async def test_arun_with_retry_user_raised_cancelled_becomes_node_cancelled():
+    class UserCancelsProc:
+        async def ainvoke(self, input, config):
+            raise asyncio.CancelledError("nope")
+
+    task = _make_task(UserCancelsProc(), name="user-cancel")
+
+    with pytest.raises(NodeCancelledError) as excinfo:
+        await arun_with_retry(task, retry_policy=None)
+    assert excinfo.value.node == "user-cancel"
+    # original CancelledError chained for debugging
+    assert isinstance(excinfo.value.__cause__, asyncio.CancelledError)
+
+
+@NEEDS_TASK_CANCELLING
+@pytest.mark.anyio
+async def test_arun_with_retry_user_raised_cancelled_with_timeout_policy():
+    """The timeout path runs the node in a child task; the conversion must
+    still trigger for user-raised ``CancelledError``."""
+
+    class UserCancelsProc:
+        async def ainvoke(self, input, config):
+            raise asyncio.CancelledError
+
+    task = _make_task(
+        UserCancelsProc(), timeout=_idle_timeout(1.0), name="user-cancel-timed"
+    )
+
+    with pytest.raises(NodeCancelledError) as excinfo:
+        await arun_with_retry(task, retry_policy=None)
+    assert excinfo.value.node == "user-cancel-timed"
+
+
+def test_run_with_retry_sync_node_raising_cancelled_becomes_node_cancelled():
+    class SyncUserCancelsProc:
+        def invoke(self, input, config):
+            raise asyncio.CancelledError("sync nope")
+
+    task = _make_task(SyncUserCancelsProc(), timeout=None, name="sync-user-cancel")
+
+    with pytest.raises(NodeCancelledError) as excinfo:
+        run_with_retry(task, retry_policy=None)
+    assert excinfo.value.node == "sync-user-cancel"
+    assert isinstance(excinfo.value.__cause__, asyncio.CancelledError)
+
+
+@NEEDS_TASK_CANCELLING
+@pytest.mark.anyio
+async def test_arun_with_retry_external_cancel_propagates_as_cancelled():
+    """When the asyncio task running ``arun_with_retry`` is cancelled from the
+    outside, the cancellation must still propagate as
+    ``asyncio.CancelledError``. Converting it to ``NodeCancelledError`` would
+    break the runner's ability to cancel sibling tasks during cleanup."""
+
+    started = asyncio.Event()
+    observed: list[BaseException] = []
+
+    class SlowProc:
+        async def ainvoke(self, input, config):
+            started.set()
+            await asyncio.sleep(10.0)
+            return "never"
+
+    task = _make_task(SlowProc(), timeout=None, name="external-cancel")
+
+    async def runner():
+        try:
+            await arun_with_retry(task, retry_policy=None)
+        except BaseException as exc:
+            observed.append(exc)
+            raise
+
+    bg = asyncio.create_task(runner())
+    await started.wait()
+    bg.cancel()
+    # We expect the cancellation to surface to us as well; swallow it here so
+    # the test runner's own task isn't poisoned by the cancel.
+    with contextlib.suppress(asyncio.CancelledError):
+        await bg
+    assert observed, "runner did not observe any exception"
+    # Framework cancellation must remain a CancelledError, not be rewritten as
+    # NodeCancelledError.
+    assert isinstance(observed[0], asyncio.CancelledError)
+    assert not isinstance(observed[0], NodeCancelledError)
+
+
+@NEEDS_TASK_CANCELLING
+@pytest.mark.anyio
+async def test_pregel_user_raised_cancellederror_fails_run():
+    """End-to-end: a two-branch graph where one branch raises
+    ``asyncio.CancelledError`` must fail the run instead of returning
+    a partial-success state. This is the LSD-1507 customer scenario."""
+
+    class _S(TypedDict, total=False):
+        vals: Annotated[list[str], operator.add]
+
+    async def ok(state: _S) -> _S:
+        return {"vals": ["ok"]}
+
+    async def boom(state: _S) -> _S:
+        raise asyncio.CancelledError("user-raised in node body")
+
+    graph = (
+        StateGraph(_S)
+        .add_node("ok", ok)
+        .add_node("boom", boom)
+        .add_edge(START, "ok")
+        .add_edge(START, "boom")
+        .add_edge("ok", END)
+        .add_edge("boom", END)
+        .compile()
+    )
+
+    with pytest.raises(NodeCancelledError) as excinfo:
+        await graph.ainvoke({"vals": []})
+    assert excinfo.value.node == "boom"
@@ -0,0 +1,296 @@
+"""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}"
+    )
@@ -35,20 +35,25 @@ def _tasks_start(
    *,
    task_id: str,
    name: str,
+    metadata: dict[str, Any] | None = None,
+    input: Any = None,
 ) -> dict[str, Any]:
    """Build a `tasks` ProtocolEvent carrying a TaskPayload (start)."""
+    data: dict[str, Any] = {
+        "id": task_id,
+        "name": name,
+        "input": input,
+        "triggers": [],
+    }
+    if metadata is not None:
+        data["metadata"] = metadata
    return {
        "type": "event",
        "method": "tasks",
        "params": {
            "namespace": namespace,
            "timestamp": TS,
-            "data": {
-                "id": task_id,
-                "name": name,
-                "input": None,
-                "triggers": [],
-            },
+            "data": data,
        },
    }

@@ -404,3 +409,272 @@ def test_stream_events_v3_with_nested_parent_ns_scopes_lifecycle() -> None:
        assert ns[:1] == ("outer:abc",), (
            f"namespace {ns} not within scoped prefix ('outer:abc',)"
        )
+
+
+# ---------------------------------------------------------------------------
+# Parsed-segment fallback (no subagent boundary)
+# ---------------------------------------------------------------------------
+
+
+def test_no_metadata_falls_through_to_existing_behavior() -> None:
+    """Tasks events without metadata produce the same output as before T4."""
+    mux = _build_lifecycle_mux()
+    mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool"))
+
+    [payload] = _drain_lifecycle(mux)
+    assert payload["graph_name"] == "agent"
+    assert payload["trigger_call_id"] == "abc"
+    assert "cause" not in payload
+
+
+def test_empty_metadata_dict_falls_through() -> None:
+    """An explicit empty metadata dict is treated the same as no metadata."""
+    mux = _build_lifecycle_mux()
+    mux.push(_tasks_start(["agent:abc"], task_id="t1", name="tool", metadata={}))
+
+    [payload] = _drain_lifecycle(mux)
+    assert payload["graph_name"] == "agent"
+    assert "cause" not in payload
+
+
+# ---------------------------------------------------------------------------
+# Subagent discrimination via lc_agent_name transition
+# ---------------------------------------------------------------------------
+#
+# A nested task is a subagent iff its metadata["lc_agent_name"] is present and
+# differs from its PARENT namespace's lc_agent_name. These tests replicate the
+# empirically-verified `create_agent` stream shape synthetically:
+#
+#   - A supervisor created via `create_agent(name="supervisor")` emits its own
+#     node tasks (model, tools) at ns=(), each with
+#     metadata["lc_agent_name"] == "supervisor".
+#   - The parent `tools` task at ns=() carries a `tool_call_with_context`
+#     dict as its `input` (with the LLM tool_call_id at
+#     input["tool_call"]["id"]) and a task `id`. (A legacy / batched shape
+#     passes a list of tool-call dicts instead; both are exercised below.)
+#   - When a tool body invokes an inner `create_agent(name="weather_agent")`,
+#     the inner agent's node tasks stream at ns=("tools:<taskid>",) with
+#     metadata["lc_agent_name"] == "weather_agent", sharing the SAME <taskid>
+#     as the parent `tools` task.
+#   - A plain StateGraph (no name) inherits the parent's lc_agent_name, so its
+#     child lc == parent lc -> NOT a subagent.
+
+
+def test_lifecycle_uses_lc_agent_name_for_subagent() -> None:
+    """A nested run whose lc_agent_name differs from its parent's is a subagent.
+
+    graph_name becomes the child's lc_agent_name; cause is recovered by joining
+    the child segment's task-id to the parent push task's tool call. This uses
+    the production `tool_call_with_context` dict input shape current langgraph
+    emits (tool_call_id at input["tool_call"]["id"]).
+    """
+    mux = _build_lifecycle_mux()
+    # Supervisor's `tools` push task at scope ns: carries its own lc_agent_name
+    # and a `tool_call_with_context` dict as `input`. Each tool call is its own
+    # push task, and the task id seeds the child segment.
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="tools_task_1",
+            name="tools",
+            metadata={"lc_agent_name": "supervisor"},
+            input={
+                "__type": "tool_call_with_context",
+                "tool_call": {
+                    "name": "call_weather",
+                    "args": {"city": "Boston"},
+                    "id": "call_w",
+                    "type": "tool_call",
+                },
+                "state": {},
+            },
+        )
+    )
+    # Inner weather_agent's first node task streams under the parent `tools`
+    # task's namespace segment (shared task id) with its own lc_agent_name.
+    mux.push(
+        _tasks_start(
+            ["tools:tools_task_1"],
+            task_id="inner_model_1",
+            name="model",
+            metadata={"lc_agent_name": "weather_agent"},
+        )
+    )
+
+    payloads = _drain_lifecycle(mux)
+    started = [p for p in payloads if p["event"] == "started"]
+    [subagent] = [p for p in started if p["namespace"] == ["tools:tools_task_1"]]
+    assert subagent["graph_name"] == "weather_agent", (
+        "graph_name should be the child's lc_agent_name, not the parsed segment"
+    )
+    assert subagent["cause"] == {"type": "toolCall", "tool_call_id": "call_w"}, (
+        "cause should recover the triggering tool_call_id from the parent push "
+        "task's tool_call_with_context input via the shared task id"
+    )
+
+
+def test_lifecycle_subagent_cause_from_legacy_list_input() -> None:
+    """cause recovery also handles the legacy / batched list input shape.
+
+    A parent task whose `input` is a list of tool-call dicts (rather than a
+    `tool_call_with_context` dict) still seeds the tool_call_id join.
+    """
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="tools_task_1",
+            name="tools",
+            metadata={"lc_agent_name": "supervisor"},
+            input=[{"name": "call_weather", "args": {"city": "SF"}, "id": "call_w"}],
+        )
+    )
+    mux.push(
+        _tasks_start(
+            ["tools:tools_task_1"],
+            task_id="inner_model_1",
+            name="model",
+            metadata={"lc_agent_name": "weather_agent"},
+        )
+    )
+
+    payloads = _drain_lifecycle(mux)
+    started = [p for p in payloads if p["event"] == "started"]
+    [subagent] = [p for p in started if p["namespace"] == ["tools:tools_task_1"]]
+    assert subagent["graph_name"] == "weather_agent"
+    assert subagent["cause"] == {"type": "toolCall", "tool_call_id": "call_w"}
+
+
+def test_lifecycle_same_name_nested_run_is_surfaced() -> None:
+    """A nested run whose lc_agent_name matches the parent's is still surfaced.
+
+    A subagent that invokes itself re-asserts its own lc_agent_name, so child
+    lc == parent lc. The discriminator surfaces any nested run carrying an
+    lc_agent_name, so the recursive call is reported (named after the agent,
+    with the triggering tool call as cause).
+
+    Trade-off: a non-agent subgraph that merely inherited the parent's
+    lc_agent_name would also surface here. That is accepted; a caller can null
+    lc_agent_name in the config it invokes such a graph with to exclude it.
+    """
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="tools_task_1",
+            name="tools",
+            metadata={"lc_agent_name": "weather_agent"},
+            input={
+                "__type": "tool_call_with_context",
+                "tool_call": {
+                    "name": "recurse",
+                    "args": {},
+                    "id": "call_x",
+                    "type": "tool_call",
+                },
+                "state": {},
+            },
+        )
+    )
+    # The agent invokes itself: the nested run re-asserts the SAME lc_agent_name.
+    mux.push(
+        _tasks_start(
+            ["tools:tools_task_1"],
+            task_id="inner_node_1",
+            name="model",
+            metadata={"lc_agent_name": "weather_agent"},
+        )
+    )
+
+    payloads = _drain_lifecycle(mux)
+    started = [p for p in payloads if p["event"] == "started"]
+    [nested] = [p for p in started if p["namespace"] == ["tools:tools_task_1"]]
+    assert nested["graph_name"] == "weather_agent", (
+        "a same-named nested run (e.g. self-recursion) must still be surfaced"
+    )
+    assert nested["cause"] == {"type": "toolCall", "tool_call_id": "call_x"}
+
+
+def test_lifecycle_unnamed_nested_agent_is_not_subagent() -> None:
+    """A nested run with lc_agent_name None is excluded (not a subagent)."""
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="tools_task_1",
+            name="tools",
+            metadata={"lc_agent_name": "supervisor"},
+            input={
+                "__type": "tool_call_with_context",
+                "tool_call": {
+                    "name": "lookup",
+                    "args": {},
+                    "id": "call_x",
+                    "type": "tool_call",
+                },
+                "state": {},
+            },
+        )
+    )
+    mux.push(
+        _tasks_start(
+            ["plain:tools_task_1"],
+            task_id="inner_node_1",
+            name="inner_node",
+            metadata={"lc_agent_name": None},
+        )
+    )
+
+    payloads = _drain_lifecycle(mux)
+    started = [p for p in payloads if p["event"] == "started"]
+    [nested] = [p for p in started if p["namespace"] == ["plain:tools_task_1"]]
+    assert nested["graph_name"] == "plain"
+    assert "cause" not in nested
+
+
+def test_lifecycle_subagent_terminal_roundtrip() -> None:
+    """A detected subagent closes with `completed` when its parent task results.
+
+    Pushes the subagent's `started` (via the `tool_call_with_context` parent
+    plus the child task event) and then the parent push task's terminal
+    result, asserting the namespace is closed and the `started` payload's
+    projected graph_name / cause survive the roundtrip.
+    """
+    mux = _build_lifecycle_mux()
+    mux.push(
+        _tasks_start(
+            [],
+            task_id="tools_task_1",
+            name="tools",
+            metadata={"lc_agent_name": "supervisor"},
+            input={
+                "__type": "tool_call_with_context",
+                "tool_call": {
+                    "name": "call_weather",
+                    "args": {"city": "Boston"},
+                    "id": "call_w",
+                    "type": "tool_call",
+                },
+                "state": {},
+            },
+        )
+    )
+    mux.push(
+        _tasks_start(
+            ["tools:tools_task_1"],
+            task_id="inner_model_1",
+            name="model",
+            metadata={"lc_agent_name": "weather_agent"},
+        )
+    )
+    # The parent push task (id=tools_task_1, at scope ns) finishes, closing
+    # the subagent subgraph that streamed under `tools:tools_task_1`.
+    mux.push(_tasks_result([], task_id="tools_task_1", name="tools"))
+
+    payloads = _drain_lifecycle(mux)
+    ns = ["tools:tools_task_1"]
+    subagent = [p for p in payloads if p["namespace"] == ns]
+    assert [p["event"] for p in subagent] == ["started", "completed"]
+    started, _completed = subagent
+    assert started["graph_name"] == "weather_agent"
+    assert started["cause"] == {"type": "toolCall", "tool_call_id": "call_w"}
@@ -12,7 +12,7 @@ from langchain_core.language_models.chat_model_stream import (
    AsyncChatModelStream,
    ChatModelStream,
 )
-from langchain_core.messages import AIMessage, AIMessageChunk
+from langchain_core.messages import AIMessage, AIMessageChunk, ToolMessage
 from langchain_core.runnables import RunnableConfig
 from typing_extensions import TypedDict

@@ -213,6 +213,23 @@ 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")
@@ -273,6 +290,29 @@ 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"))
@@ -849,6 +889,23 @@ 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`."""
@@ -15,12 +15,14 @@ from unittest.mock import MagicMock, patch

 import langsmith
 import pytest
+from langchain_core.callbacks import BaseCallbackHandler, CallbackManager
 from langchain_core.runnables import RunnableConfig
 from langchain_core.tracers import LangChainTracer
 from typing_extensions import NotRequired, Required, TypedDict

 from langgraph._internal._config import (
    _is_not_empty,
+    _merge_callbacks,
    ensure_config,
    get_callback_manager_for_config,
 )
@@ -427,3 +429,128 @@ def test_callback_manager_copies_configurable_ids_to_tracing_metadata() -> None:
        "thread_id": "th-123",
        "user_id": "uid-1",
    }
+
+
+class _TrackingCB(BaseCallbackHandler):
+    """Minimal callback handler used only as a sentinel for merge tests."""
+
+    def __init__(self, tag: str) -> None:
+        self.tag = tag
+
+    def __eq__(self, other: object) -> bool:
+        return isinstance(other, _TrackingCB) and self.tag == other.tag
+
+    def __hash__(self) -> int:
+        return hash(self.tag)
+
+
+def test_merge_callbacks_none_base_list_new() -> None:
+    cb = _TrackingCB("a")
+    merged = _merge_callbacks(None, [cb])
+    assert merged == [cb]
+
+
+def test_merge_callbacks_list_base_list_new() -> None:
+    a, b = _TrackingCB("a"), _TrackingCB("b")
+    merged = _merge_callbacks([a], [b])
+    assert merged == [a, b]
+
+
+def test_merge_callbacks_list_base_manager_new() -> None:
+    a = _TrackingCB("a")
+    mgr = CallbackManager(handlers=[_TrackingCB("b")])
+    merged = _merge_callbacks([a], mgr)
+    assert isinstance(merged, CallbackManager)
+    assert _TrackingCB("a") in merged.handlers
+    assert _TrackingCB("b") in merged.handlers
+
+
+def test_merge_callbacks_manager_base_list_new() -> None:
+    mgr = CallbackManager(handlers=[_TrackingCB("a")])
+    b = _TrackingCB("b")
+    merged = _merge_callbacks(mgr, [b])
+    assert isinstance(merged, CallbackManager)
+    assert _TrackingCB("a") in merged.handlers
+    assert _TrackingCB("b") in merged.handlers
+
+
+def test_merge_callbacks_manager_base_manager_new() -> None:
+    mgr_a = CallbackManager(handlers=[_TrackingCB("a")])
+    mgr_b = CallbackManager(handlers=[_TrackingCB("b")])
+    merged = _merge_callbacks(mgr_a, mgr_b)
+    assert isinstance(merged, CallbackManager)
+    assert _TrackingCB("a") in merged.handlers
+    assert _TrackingCB("b") in merged.handlers
+
+
+def test_merge_callbacks_none_base_none_new() -> None:
+    merged = _merge_callbacks(None, None)
+    assert merged is None
+
+
+def test_ensure_config_merges_configurable_across_configs() -> None:
+    a = {"configurable": {"ls_agent_type": "root"}}
+    b = {"configurable": {"thread_id": "T1"}}
+    merged = ensure_config(a, b)
+    assert merged["configurable"]["ls_agent_type"] == "root"
+    assert merged["configurable"]["thread_id"] == "T1"
+
+
+def test_ensure_config_configurable_later_wins_per_key() -> None:
+    a = {"configurable": {"shared": "from_a", "only_a": "A"}}
+    b = {"configurable": {"shared": "from_b", "only_b": "B"}}
+    merged = ensure_config(a, b)
+    assert merged["configurable"]["shared"] == "from_b"  # later wins per key
+    assert merged["configurable"]["only_a"] == "A"
+    assert merged["configurable"]["only_b"] == "B"
+
+
+def test_ensure_config_merges_metadata_across_configs() -> None:
+    a = {"metadata": {"user_id": "U1"}}
+    b = {"metadata": {"correlation_id": "C1"}}
+    merged = ensure_config(a, b)
+    assert merged["metadata"]["user_id"] == "U1"
+    assert merged["metadata"]["correlation_id"] == "C1"
+
+
+def test_ensure_config_metadata_later_wins_per_key() -> None:
+    a = {"metadata": {"shared": "from_a"}}
+    b = {"metadata": {"shared": "from_b"}}
+    merged = ensure_config(a, b)
+    assert merged["metadata"]["shared"] == "from_b"
+
+
+def test_ensure_config_merges_tags_across_configs() -> None:
+    a = {"tags": ["alpha"]}
+    b = {"tags": ["beta"]}
+    merged = ensure_config(a, b)
+    assert merged["tags"] == ["alpha", "beta"]
+
+
+def test_ensure_config_tags_concat_preserves_order_and_duplicates() -> None:
+    # Plain concat (matches merge_configs in this file — no dedup, no sort).
+    a = {"tags": ["shared", "alpha"]}
+    b = {"tags": ["shared", "beta"]}
+    merged = ensure_config(a, b)
+    assert merged["tags"] == ["shared", "alpha", "shared", "beta"]
+
+
+def test_ensure_config_merges_callbacks_across_configs() -> None:
+    a_cb = _TrackingCB("a")
+    b_cb = _TrackingCB("b")
+    merged = ensure_config({"callbacks": [a_cb]}, {"callbacks": [b_cb]})
+    assert merged["callbacks"] == [a_cb, b_cb]
+
+
+def test_ensure_config_none_inputs_ignored() -> None:
+    # mixed with None should not raise
+    merged = ensure_config(None, {"tags": ["t"]}, None)
+    assert merged["tags"] == ["t"]
+
+
+def test_ensure_config_empty_inputs() -> None:
+    # everything empty -> defaults
+    merged = ensure_config()
+    assert merged["tags"] == []
+    assert merged["configurable"] == {}
+    assert merged["callbacks"] is None
@@ -871,11 +871,11 @@ wheels = [

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-version = "3.11"
+version = "3.15"
 source = { registry = "https://pypi.org/simple" }
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+    { 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" },
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-version = "1.4.0a2"
+version = "1.4.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
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    { name = "uuid-utils" },
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+    { url = "https://files.pythonhosted.org/packages/0f/1a/86c38c27b81913a1c6c12448cab55defb5a1097c7dc9a4cea83f55477a2d/langchain_core-1.4.0-py3-none-any.whl", hash = "sha256:23cbbdb46e38ddd1dd5247e6167e96013eae74bea4c5949c550809970a9e565c", size = 548120, upload-time = "2026-05-11T18:42:33.992Z" },
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 [[package]]
 name = "langchain-protocol"
-version = "0.0.14"
+version = "0.0.15"
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 [[package]]
 name = "langgraph"
-version = "1.2.0a7"
+version = "1.2.2"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -1454,7 +1454,7 @@ test = [

 [package.metadata]
 requires-dist = [
-    { name = "langchain-core", specifier = ">=1.4.0a2,<2" },
+    { name = "langchain-core", specifier = ">=1.4.0,<2" },
    { name = "langgraph-checkpoint", editable = "../checkpoint" },
    { name = "langgraph-prebuilt", editable = "../prebuilt" },
    { name = "langgraph-sdk", editable = "../sdk-py" },
@@ -1563,7 +1563,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.0a4"
+version = "4.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -1611,7 +1611,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.0a4"
+version = "3.1.0"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -1658,7 +1658,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "3.1.0a1"
+version = "3.1.0"
 source = { editable = "../checkpoint-sqlite" }
 dependencies = [
    { name = "aiosqlite" },
@@ -1721,7 +1721,7 @@ inmem = [
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    { name = "click", specifier = ">=8.1.7" },
    { name = "httpx", specifier = ">=0.24.0" },
-    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.9.0" },
+    { name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.5.35,<0.10.0" },
    { name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.7" },
    { name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
    { name = "pathspec", specifier = ">=0.11.0" },
@@ -1757,7 +1757,7 @@ test = [

 [[package]]
 name = "langgraph-prebuilt"
-version = "1.1.0a2"
+version = "1.1.0"
 source = { editable = "../prebuilt" }
 dependencies = [
    { name = "langchain-core" },
@@ -1828,13 +1828,19 @@ name = "langgraph-sdk"
 source = { editable = "../sdk-py" }
 dependencies = [
    { name = "httpx" },
+    { name = "langchain-core" },
+    { name = "langchain-protocol" },
    { name = "orjson" },
+    { name = "websockets" },
 ]

 [package.metadata]
 requires-dist = [
    { name = "httpx", specifier = ">=0.25.2" },
+    { name = "langchain-core", specifier = ">=1.4.0,<2" },
+    { name = "langchain-protocol", specifier = ">=0.0.15" },
    { name = "orjson", specifier = ">=3.11.5" },
+    { name = "websockets", specifier = ">=14,<16" },
 ]

 [package.metadata.requires-dev]
@@ -1867,7 +1873,7 @@ test = [

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-version = "0.7.31"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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+version = "3.2.1"
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+
 [[package]]
 name = "widgetsnbextension"
 version = "4.0.15"
@@ -5,12 +5,42 @@ 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.

@@ -109,7 +139,7 @@ class ToolCallTransformer(StreamTransformer):
        elif event_type == "tool-finished":
            stream = self._active.pop(tool_call_id, None)
            if stream is not None:
-                stream._finish(data.get("output"))
+                stream._finish(_normalize_tool_output(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 = "1.1.0a2"
+version = "1.1.0"
 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
+from langchain_core.messages import AIMessage, ToolMessage
 from langchain_core.tools import tool
 from langgraph.constants import END, START
 from langgraph.graph import StateGraph
@@ -128,6 +128,42 @@ 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"))
@@ -214,11 +214,11 @@ wheels = [

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+version = "3.15"
 source = { registry = "https://pypi.org/simple" }
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 [[package]]
@@ -253,7 +253,7 @@ wheels = [

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-version = "1.4.0a2"
+version = "1.4.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch" },
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    { name = "uuid-utils" },
 ]
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 ]

 [[package]]
 name = "langchain-protocol"
-version = "0.0.14"
+version = "0.0.15"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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 ]
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 [[package]]
 name = "langgraph"
-version = "1.2.0a7"
+version = "1.2.2"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
@@ -298,7 +298,7 @@ dependencies = [

 [package.metadata]
 requires-dist = [
-    { name = "langchain-core", specifier = ">=1.4.0a2,<2" },
+    { name = "langchain-core", specifier = ">=1.4.0,<2" },
    { name = "langgraph-checkpoint", editable = "../checkpoint" },
    { name = "langgraph-prebuilt", editable = "." },
    { name = "langgraph-sdk", editable = "../sdk-py" },
@@ -369,7 +369,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "4.1.0a4"
+version = "4.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -417,7 +417,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.0a4"
+version = "3.1.0"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -464,7 +464,7 @@ test = [

 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "3.1.0a1"
+version = "3.1.0"
 source = { editable = "../checkpoint-sqlite" }
 dependencies = [
    { name = "aiosqlite" },
@@ -507,7 +507,7 @@ test = [

 [[package]]
 name = "langgraph-prebuilt"
-version = "1.1.0a2"
+version = "1.1.0"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -597,13 +597,19 @@ name = "langgraph-sdk"
 source = { editable = "../sdk-py" }
 dependencies = [
    { name = "httpx" },
+    { name = "langchain-core" },
+    { name = "langchain-protocol" },
    { name = "orjson" },
+    { name = "websockets" },
 ]

 [package.metadata]
 requires-dist = [
    { name = "httpx", specifier = ">=0.25.2" },
+    { name = "langchain-core", specifier = ">=1.4.0,<2" },
+    { name = "langchain-protocol", specifier = ">=0.0.15" },
    { name = "orjson", specifier = ">=3.11.5" },
+    { name = "websockets", specifier = ">=14,<16" },
 ]

 [package.metadata.requires-dev]
@@ -636,7 +642,7 @@ test = [

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-version = "0.7.31"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
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+
 [[package]]
 name = "xxhash"
 version = "3.6.0"
@@ -0,0 +1,48 @@
+# 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`.
@@ -0,0 +1,118 @@
+# 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).
@@ -33,3 +33,43 @@ 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
+```
@@ -0,0 +1,27 @@
+# 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
@@ -0,0 +1,91 @@
+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
@@ -0,0 +1,6 @@
+"""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"]
@@ -0,0 +1,96 @@
+"""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",
+)
@@ -0,0 +1,300 @@
+"""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],
+)
@@ -0,0 +1,97 @@
+"""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 hermetic fake chat model
+(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, BaseMessage, ToolMessage
+from langchain_core.outputs import ChatGeneration, ChatResult
+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):
+    """Stateless fake chat model driving a single `search` tool 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`, so `bind_tools` is overridden as
+    a no-op (the reply is hand-built and already carries `tool_calls`).
+
+    The reply is derived from conversation state rather than a cycling
+    response list: the `search` tool call is issued until a `ToolMessage`
+    appears, then a terminating `AIMessage`. This avoids the response-index
+    parity flake where `FakeMessagesListChatModel.responses` is shared
+    process-wide and cycles `0 -> 1 -> 0`; a run that started mid-cycle
+    (e.g. on a reused server worker) would reply `"done."` first and emit
+    no tool call. Being order-independent, every run emits exactly one
+    tool call regardless of how many times the model was previously called.
+
+    `FakeMessagesListChatModel` is subclassed (rather than
+    `GenericFakeChatModel`) 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")`.
+    The inherited `_stream` yields the whole message in one chunk,
+    preserving `tool_calls`.
+    """
+
+    def bind_tools(self, tools: Any, **kwargs: Any) -> _ToolBindingFakeChatModel:
+        return self
+
+    def _generate(
+        self,
+        messages: list[BaseMessage],
+        stop: list[str] | None = None,
+        run_manager: Any = None,
+        **kwargs: Any,
+    ) -> ChatResult:
+        if any(isinstance(m, ToolMessage) for m in messages):
+            response = AIMessage(content="done.", id="ai-tools-done")
+        else:
+            response = AIMessage(
+                content="",
+                id="ai-tools-call",
+                tool_calls=[{"id": "tc-1", "name": "search", "args": {"query": "v3"}}],
+            )
+        return ChatResult(generations=[ChatGeneration(message=response)])
+
+
+# `responses` is a required field on `FakeMessagesListChatModel`, but the
+# overridden `_generate` derives its reply from state and never reads it.
+_supervisor_model = _ToolBindingFakeChatModel(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",
+)
@@ -0,0 +1,10 @@
+{
+  "$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": {}
+}
@@ -0,0 +1,124 @@
+"""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
@@ -0,0 +1,185 @@
+"""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()
@@ -0,0 +1,128 @@
+"""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()
@@ -0,0 +1,67 @@
+"""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()
@@ -0,0 +1,67 @@
+"""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()
@@ -0,0 +1,97 @@
+"""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()
@@ -0,0 +1,83 @@
+"""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()
@@ -0,0 +1,197 @@
+"""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()
@@ -0,0 +1,107 @@
+"""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()
@@ -0,0 +1,96 @@
+"""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()
@@ -0,0 +1,158 @@
+"""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()
@@ -0,0 +1,89 @@
+"""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()
@@ -0,0 +1,92 @@
+"""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__ = "0.3.14"
+__version__ = "0.4.1"

 __all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
@@ -8,6 +8,7 @@ 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,
@@ -84,7 +85,9 @@ class AssistantsClient:
            ```
        """
        return await self.http.get(
-            f"/assistants/{assistant_id}", headers=headers, params=params
+            f"/assistants/{_quote_path_param(assistant_id)}",
+            headers=headers,
+            params=params,
        )

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

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

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

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

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

        return await self.http.post(
-            f"/assistants/{assistant_id}/latest",
+            f"/assistants/{_quote_path_param(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 _resolve_timezone
+from langgraph_sdk._shared.utilities import _quote_path_param, _resolve_timezone
 from langgraph_sdk.schema import (
    All,
    Config,
@@ -18,6 +18,7 @@ from langgraph_sdk.schema import (
    CronSortBy,
    Durability,
    Input,
+    Json,
    OnCompletionBehavior,
    QueryParamTypes,
    Run,
@@ -165,7 +166,7 @@ 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/{thread_id}/runs/crons",
+            f"/threads/{_quote_path_param(thread_id)}/runs/crons",
            json=payload,
            headers=headers,
            params=params,
@@ -314,7 +315,9 @@ class CronClient:
            ```

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

    async def update(
        self,
@@ -401,7 +404,7 @@ class CronClient:
        }
        payload = {k: v for k, v in payload.items() if v is not None}
        return await self.http.patch(
-            f"/runs/crons/{cron_id}",
+            f"/runs/crons/{_quote_path_param(cron_id)}",
            json=payload,
            headers=headers,
            params=params,
@@ -413,6 +416,7 @@ 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,
@@ -427,6 +431,8 @@ 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.
@@ -481,6 +487,8 @@ class CronClient:
            "limit": limit,
            "offset": offset,
        }
+        if metadata:
+            payload["metadata"] = metadata
        if sort_by:
            payload["sort_by"] = sort_by
        if sort_order:
@@ -497,6 +505,7 @@ 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:
@@ -505,6 +514,8 @@ 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.

@@ -516,6 +527,8 @@ 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
        )
--- a/Show More
+++ b/Show More