chore: remove unnecessary missing-typed-dict-key suppression

Co-authored-by: Cursor <cursoragent@cursor.com>

.github/workflows/_sdk_integration_test.yml

@@ -1,85 +0,0 @@
-name: sdk-py integration test
-
-on:
-  workflow_call:
-    secrets:
-      LANGSMITH_API_KEY:
-        required: false
-      DOCKERHUB_USERNAME:
-        required: false
-      DOCKERHUB_RO_TOKEN:
-        required: false
-
-permissions:
-  contents: read
-
-jobs:
-  build:
-    runs-on: ubuntu-latest
-    name: "sdk-py integration"
-    defaults:
-      run:
-        working-directory: libs/sdk-py
-    env:
-      HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
-    steps:
-      - uses: actions/checkout@v6
-
-      - name: Set up Python
-        uses: ./.github/actions/uv_setup
-        with:
-          python-version: "3.13"
-          cache-suffix: sdk-py-integration
-          working-directory: libs/sdk-py
-
-      - name: Login to Docker Hub
-        uses: docker/login-action@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # 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

.github/workflows/_test.yml

@@ -33,7 +33,7 @@ jobs:
           cache-suffix: test-${{ inputs.working-directory }}
           working-directory: ${{ inputs.working-directory }}
       - name: Login to Docker Hub
-        uses: docker/login-action@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # v4
+        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_langgraph.yml

@@ -31,7 +31,7 @@ jobs:
           cache-suffix: "test-langgraph"
           working-directory: libs/langgraph
       - name: Login to Docker Hub
-        uses: docker/login-action@650006c6eb7dba73a995cc03b0b2d7f5ca915bee # v4
+        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/bench.yml

@@ -58,18 +58,14 @@ jobs:
           } >> "$GITHUB_OUTPUT"
       - name: Annotation
         uses: actions/github-script@v9
-        env:
-          CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
-          BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
-          COMPARE_OUTPUT: ${{ steps.compare.outputs.OUTPUT }}
         with:
           script: |
-            const file = JSON.parse(process.env.CHANGED_FILES || "[]")[0]
-            core.notice(process.env.BENCHMARK_OUTPUT || "", {
+            const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
+            core.notice(`${{ steps.benchmark.outputs.OUTPUT }}`, {
               title: 'Benchmark results',
               file,
             })
-            core.notice(process.env.COMPARE_OUTPUT || "", {
+            core.notice(`${{ steps.compare.outputs.OUTPUT }}`, {
               title: 'Comparison against main',
               file,
             })

.github/workflows/ci.yml

@@ -28,7 +28,6 @@ jobs:
     outputs:
       python: ${{ steps.filter.outputs.python || 'true' }}
       deps: ${{ steps.filter.outputs.deps || 'true' }}
-      sdk_py: ${{ steps.filter.outputs.sdk_py || 'true' }}
     steps:
       - uses: actions/checkout@v6
       - uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
@@ -48,12 +47,6 @@ jobs:
             deps:
               - '**/pyproject.toml'
               - '**/uv.lock'
-            sdk_py:
-              - 'libs/sdk-py/**'
-              # The integration suite runs the local langgraph core inside the
-              # server (see libs/sdk-py/integration/Dockerfile), so any core
-              # change is now exercised end-to-end and should trigger it.
-              - 'libs/langgraph/**'
 
   lint:
     needs: changes
@@ -163,13 +156,6 @@ jobs:
     uses: ./.github/workflows/_integration_test.yml
     secrets: inherit
 
-  sdk-py-integration-test:
-    needs: changes
-    if: needs.changes.outputs.sdk_py == 'true'
-    name: "sdk-py integration test"
-    uses: ./.github/workflows/_sdk_integration_test.yml
-    secrets: inherit
-
   ci_success:
     name: "CI Success"
     needs:
@@ -180,7 +166,6 @@ jobs:
         check-sdk-methods,
         check-schema,
         integration-test,
-        sdk-py-integration-test,
       ]
     if: |
       always()

.github/workflows/pr_lint.yml

@@ -41,7 +41,6 @@ jobs:
             docs
             ci
             deps
-            deps-dev
           requireScope: false
           ignoreLabels: |
             ignore-lint-pr-title

.github/workflows/release.yml

@@ -32,7 +32,6 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           cache-suffix: "release"
-          enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
       # We want to keep this build stage *separate* from the release stage,
@@ -269,7 +268,6 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           cache-suffix: "release"
-          enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
       - uses: actions/download-artifact@v8
@@ -311,7 +309,6 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           cache-suffix: "release"
-          enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
       - uses: actions/download-artifact@v8

libs/checkpoint-conformance/README.md

@@ -64,6 +64,8 @@ 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.
 

libs/checkpoint-conformance/langgraph/checkpoint/conformance/capabilities.py

@@ -24,6 +24,8 @@ 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.
@@ -44,6 +46,8 @@ EXTENDED_CAPABILITIES = frozenset(
         Capability.COPY_THREAD,
         Capability.PRUNE,
         Capability.DELTA_CHANNEL_HISTORY,
+        Capability.DELTA_CHANNEL_KEEPSET,
+        Capability.DELTA_CHANNEL_RECONSTRUCTION,
     }
 )
 
@@ -60,6 +64,8 @@ _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",
 }
 
 

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/__init__.py

@@ -12,6 +12,12 @@ 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
@@ -28,4 +34,6 @@ __all__ = [
     "run_copy_thread_tests",
     "run_prune_tests",
     "run_delta_channel_history_tests",
+    "run_delta_channel_keepset_tests",
+    "run_delta_channel_reconstruction_tests",
 ]

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delta_channel_keepset.py

@@ -0,0 +1,172 @@
+"""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

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_delta_channel_reconstruction.py

@@ -0,0 +1,164 @@
+"""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

libs/checkpoint-conformance/langgraph/checkpoint/conformance/spec/test_list.py

@@ -4,7 +4,6 @@ from __future__ import annotations
 
 import traceback
 from collections.abc import Callable
-from typing import cast
 from uuid import uuid4
 
 from langgraph.checkpoint.base import BaseCheckpointSaver
@@ -336,9 +335,8 @@ async def test_list_metadata_custom_keys(
         results.append(tup)
 
     assert len(results) == 1
-    metadata = cast(dict[str, object], results[0].metadata)
-    assert metadata["score"] == 42
-    assert metadata["run_id"] == "run-abc"
+    assert results[0].metadata["score"] == 42
+    assert results[0].metadata["run_id"] == "run-abc"
 
 
 ALL_LIST_TESTS = [

libs/checkpoint-conformance/langgraph/checkpoint/conformance/validate.py

@@ -22,6 +22,12 @@ 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
@@ -39,6 +45,8 @@ _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,
 }
 
 

libs/checkpoint-conformance/uv.lock

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 [[package]]
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+version = "1.3.3"
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 [[package]]
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+version = "4.1.0a4"
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 [[package]]

libs/checkpoint-postgres/langgraph/store/postgres/aio.py

@@ -115,20 +115,6 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
         If you provide a TTL configuration, you must explicitly call `start_ttl_sweeper()` to begin
         the background task that removes expired items. Call `stop_ttl_sweeper()` to properly
         clean up resources when you're done with the store.
-
-    Note:
-        The core data operations -- `put`/`aput`, `get`/`aget`, `search`/`asearch`,
-        `delete`/`adelete`, and `list_namespaces`/`alist_namespaces` -- are inherited
-        from `langgraph.store.base.BaseStore`, which is the canonical reference for
-        their arguments and behavior. (This is LangGraph's `BaseStore`, distinct from
-        `langchain_core.stores.BaseStore`.) Key semantics:
-
-        - `put`/`aput` `value` must be a `dict` of JSON-serializable data. `None` is
-            not a valid stored value: a top-level `None` is reserved as the delete
-            signal (prefer `delete`/`adelete`). To store a marker or "empty" entry,
-            use an empty dict (`{}`), not `None`.
-        - `list_namespaces`/`alist_namespaces` match `prefix`/`suffix` exactly and
-            case-sensitively; there is no case-insensitive matching option.
     """
 
     __slots__ = (

libs/checkpoint-postgres/langgraph/store/postgres/base.py

@@ -713,20 +713,6 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
         the background thread that removes expired items. Call `stop_ttl_sweeper()` to properly
         clean up resources when you're done with the store.
 
-    Note:
-        The core data operations -- `put`/`aput`, `get`/`aget`, `search`/`asearch`,
-        `delete`/`adelete`, and `list_namespaces`/`alist_namespaces` -- are inherited
-        from `langgraph.store.base.BaseStore`, which is the canonical reference for
-        their arguments and behavior. (This is LangGraph's `BaseStore`, distinct from
-        `langchain_core.stores.BaseStore`.) Key semantics:
-
-        - `put`/`aput` `value` must be a `dict` of JSON-serializable data. `None` is
-            not a valid stored value: a top-level `None` is reserved as the delete
-            signal (prefer `delete`/`adelete`). To store a marker or "empty" entry,
-            use an empty dict (`{}`), not `None`.
-        - `list_namespaces`/`alist_namespaces` match `prefix`/`suffix` exactly and
-            case-sensitively; there is no case-insensitive matching option.
-
     """
 
     __slots__ = (

libs/checkpoint-postgres/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.1.0"
+version = "3.1.0a4"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-  "langgraph-checkpoint>=4.1.0,<5.0.0",
+  "langgraph-checkpoint>=4.1.0a4,<5.0.0",
   "orjson>=3.11.5",
   "psycopg>=3.2.0",
   "psycopg-pool>=3.2.0",

libs/checkpoint-postgres/uv.lock

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 authors = []
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 license = "MIT"
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libs/checkpoint-sqlite/tests/test_conformance_delta.py

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+            "delta_channel_keepset",
+            "delta_channel_reconstruction",
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 ]
 
 [[package]]
@@ -1161,11 +1148,11 @@ wheels = [
 
 [[package]]
 name = "urllib3"
-version = "2.7.0"
+version = "2.6.3"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
 ]
 
 [[package]]

libs/checkpoint/langgraph/checkpoint/base/__init__.py

@@ -60,29 +60,20 @@ class CheckpointMetadata(TypedDict, total=False):
     """
     run_id: str
     """The ID of the run that created this checkpoint."""
-    counters_since_delta_snapshot: dict[str, tuple[int, int]]
-    """Per-channel counters since the last `_DeltaSnapshot` was written.
+    delta_updates_since_snapshot: dict[str, int]
+    """Per-channel update count since the last `_DeltaSnapshot` was written.
 
     !!! warning "Beta"
 
         This metadata field backs `DeltaChannel` (beta). The key name and
         contents may change while the delta-channel design stabilizes.
 
-    Maps channel name -> `(updates, supersteps)`:
-
-    - index 0 (`updates`): number of supersteps that wrote to this channel
-      since its last snapshot blob.
-    - index 1 (`supersteps`): total supersteps elapsed since this channel's
-      last snapshot, regardless of whether the channel was written.
-
-    A snapshot fires when EITHER `updates >= ch.snapshot_frequency` OR
-    `supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` (system-wide bound,
-    default 5000, env `LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`).
-    The supersteps bound prevents unbounded ancestor walks on threads where
-    a delta channel exists but is no longer being updated.
-
-    Absent on threads that don't use delta channels. Persisted as a
-    2-element list in JSON (no native tuple).
+    Maps channel name → number of supersteps that wrote to this channel
+    since its last snapshot blob. Used by `pregel.create_checkpoint` to
+    decide when to write the next snapshot (when the count reaches the
+    channel's `snapshot_frequency`, snapshot fires and the count resets
+    to 0). Absent on threads that don't use delta channels. Version-format
+    independent — works for int, float, and string version schemes.
     """
 
 
@@ -689,6 +680,123 @@ 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.
 

libs/checkpoint/langgraph/checkpoint/serde/jsonplus.py

@@ -44,7 +44,7 @@ if TYPE_CHECKING:
         AllowedMsgpackModules,
     )
 
-LC_REVIVER = Reviver(allowed_objects="core")
+LC_REVIVER = Reviver()
 EMPTY_BYTES = b""
 logger = logging.getLogger(__name__)
 
@@ -157,6 +157,27 @@ class JsonPlusSerializer(SerializerProtocol):
             )
         return clone
 
+    def _encode_constructor_args(
+        self,
+        constructor: Callable | type[Any],
+        *,
+        method: None | str | Sequence[None | str] = None,
+        args: Sequence[Any] | None = None,
+        kwargs: dict[str, Any] | None = None,
+    ) -> dict[str, Any]:
+        out = {
+            "lc": 2,
+            "type": "constructor",
+            "id": (*constructor.__module__.split("."), constructor.__name__),
+        }
+        if method is not None:
+            out["method"] = method
+        if args is not None:
+            out["args"] = args
+        if kwargs is not None:
+            out["kwargs"] = kwargs
+        return out
+
     def _reviver(self, value: dict[str, Any]) -> Any:
         if (
             value.get("lc", None) == 2
@@ -182,46 +203,45 @@ class JsonPlusSerializer(SerializerProtocol):
         self._check_allowed_json_modules(value)
 
         [*module, name] = value["id"]
-        # The `method` field on lc:2 envelopes is intentionally ignored.
-        # Revival is restricted to the default constructor (no `getattr`
-        # dispatch on attacker-influenced names). The framework's own
-        # encoder has not emitted `method=` since the msgpack migration,
-        # and the only legacy emission was `method=(None, "construct")`
-        # for pydantic models, where the first entry (`None`) already
-        # meant "default constructor", which is what we do here.
         try:
             mod = importlib.import_module(".".join(module))
             cls = getattr(mod, name)
-            if isclass(cls) and issubclass(cls, BaseException):
-                return None
+            method = value.get("method")
+            if isinstance(method, str):
+                methods = [getattr(cls, method)]
+            elif isinstance(method, list):
+                methods = [cls if m is None else getattr(cls, m) for m in method]
+            else:
+                methods = [cls]
             args = value.get("args")
             kwargs = value.get("kwargs")
-            if args and kwargs:
-                return cls(*args, **kwargs)
-            elif args:
-                return cls(*args)
-            elif kwargs:
-                return cls(**kwargs)
-            else:
-                return cls()
-        except Exception as exc:
-            # Method-field dispatch has been removed (GHSA-fjqc-hq36-qh5p), so
-            # legacy pydantic payloads emitting `method=[None, "construct"]`
-            # no longer fall back to `cls.construct(**kwargs)` when the
-            # default constructor rejects the serialized kwargs. Surface a
-            # one-line warning so operators can spot payloads that now revive
-            # to `None` instead of silently degrading to the raw envelope.
-            logger.warning(
-                "Failed to revive lc:2 envelope %s "
-                "(legacy_method_field=%s, error=%s); returning None",
-                ".".join((*module, name)),
-                "method" in value,
-                type(exc).__name__,
-            )
+            for method in methods:
+                try:
+                    if isclass(method) and issubclass(method, BaseException):
+                        return None
+                    if args and kwargs:
+                        return method(*args, **kwargs)
+                    elif args:
+                        return method(*args)
+                    elif kwargs:
+                        return method(**kwargs)
+                    else:
+                        return method()
+                except Exception:
+                    continue
+        except Exception:
             return None
 
     def _check_allowed_json_modules(self, value: dict[str, Any]) -> None:
         needed = tuple(value["id"])
+        method = value.get("method")
+        if isinstance(method, list):
+            method_display = ",".join(m or "<init>" for m in method)
+        elif isinstance(method, str):
+            method_display = method
+        else:
+            method_display = "<init>"
+
         dotted = ".".join(needed)
         # Safe types (the same set already allowed for msgpack deserialization) are
         # permitted without an explicit allowlist — they are known-safe LangGraph and
@@ -232,7 +252,7 @@ class JsonPlusSerializer(SerializerProtocol):
 
         if not self._allowed_json_modules:
             raise InvalidModuleError(
-                f"Refused to deserialize JSON constructor: {dotted}. "
+                f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
                 "No allowed_json_modules configured.\n\n"
                 "Unblock with ONE of:\n"
                 f"  • JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"
@@ -247,7 +267,7 @@ class JsonPlusSerializer(SerializerProtocol):
             return
 
         raise InvalidModuleError(
-            f"Refused to deserialize JSON constructor: {dotted}. "
+            f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
             "Symbol is not in the deserialization allowlist.\n\n"
             "Add exactly this symbol to unblock:\n"
             f"  JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"

libs/checkpoint/langgraph/store/base/__init__.py

@@ -861,11 +861,8 @@ class BaseStore(ABC):
                 Example: `("documents", "user123")`
             key: Unique identifier within the namespace. Together with namespace forms
                 the complete path to the item.
-            value: Dictionary containing the item's data. Must be a `dict` with
-                string keys and JSON-serializable values. `None` is not a valid
-                stored value: a top-level `None` is reserved as the delete signal
-                (prefer `delete()`). To store a marker or "empty" entry, use an
-                empty dict (`{}`), not `None`.
+            value: Dictionary containing the item's data. Must contain string keys
+                and JSON-serializable values.
             index: Controls how the item's fields are indexed for search:
 
                 - None (default): Use `fields` you configured when creating the store (if any)
@@ -898,13 +895,6 @@ class BaseStore(ABC):
             store.put(("docs",), "report", {"memory": "Will likes ai"})
             ```
 
-            Store a set/list-like marker entry. Use an empty dict, not `None`
-            (which would delete the item):
-
-            ```python
-            store.put(("seen",), "user123", {})
-            ```
-
             Do not index item for semantic search. Still accessible through `get()`
             and `search()` operations but won't have a vector representation.
 
@@ -960,10 +950,8 @@ class BaseStore(ABC):
         find specific collections, or navigate the namespace hierarchy.
 
         Args:
-            prefix: Filter namespaces that start with this path. Matched exactly and
-                case-sensitively.
-            suffix: Filter namespaces that end with this path. Matched exactly and
-                case-sensitively.
+            prefix: Filter namespaces that start with this path.
+            suffix: Filter namespaces that end with this path.
             max_depth: Return namespaces up to this depth in the hierarchy.
                 Namespaces deeper than this level will be truncated.
             limit: Maximum number of namespaces to return.
@@ -973,11 +961,6 @@ class BaseStore(ABC):
             A list of namespace tuples that match the criteria. Each tuple represents a
                 full namespace path up to `max_depth`.
 
-        Note:
-            Namespace matching is case-sensitive. There is no case-insensitive
-            matching option. If you need case-insensitive lookups, normalize the
-            namespace casing when you write items (e.g. lowercase each label).
-
         ???+ example "Examples":
 
             Setting `max_depth=3`. Given the namespaces:
@@ -1131,11 +1114,8 @@ class BaseStore(ABC):
                 Example: `("documents", "user123")`
             key: Unique identifier within the namespace. Together with namespace forms
                 the complete path to the item.
-            value: Dictionary containing the item's data. Must be a `dict` with
-                string keys and JSON-serializable values. `None` is not a valid
-                stored value: a top-level `None` is reserved as the delete signal
-                (prefer `adelete()`). To store a marker or "empty" entry, use an
-                empty dict (`{}`), not `None`.
+            value: Dictionary containing the item's data. Must contain string keys
+                and JSON-serializable values.
             index: Controls how the item's fields are indexed for search:
 
                 - None (default): Use `fields` you configured when creating the store (if any)
@@ -1231,10 +1211,8 @@ class BaseStore(ABC):
         find specific collections, or navigate the namespace hierarchy.
 
         Args:
-            prefix: Filter namespaces that start with this path. Matched exactly and
-                case-sensitively.
-            suffix: Filter namespaces that end with this path. Matched exactly and
-                case-sensitively.
+            prefix: Filter namespaces that start with this path.
+            suffix: Filter namespaces that end with this path.
             max_depth: Return namespaces up to this depth in the hierarchy.
                 Namespaces deeper than this level will be truncated to this depth.
             limit: Maximum number of namespaces to return.
@@ -1244,11 +1222,6 @@ class BaseStore(ABC):
             A list of namespace tuples that match the criteria. Each tuple represents a
                 full namespace path up to `max_depth`.
 
-        Note:
-            Namespace matching is case-sensitive. There is no case-insensitive
-            matching option. If you need case-insensitive lookups, normalize the
-            namespace casing when you write items (e.g. lowercase each label).
-
         ???+ example "Examples"
 
             Setting `max_depth=3` with existing namespaces:

libs/checkpoint/langgraph/store/base/batch.py

@@ -86,10 +86,6 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         refresh_ttl: bool | None = None,
     ) -> Item | None:
-        """Asynchronously retrieve a single item.
-
-        See `BaseStore.aget` for the full description of arguments and behavior.
-        """
         self._ensure_task()
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
@@ -115,10 +111,6 @@ class AsyncBatchedBaseStore(BaseStore):
         offset: int = 0,
         refresh_ttl: bool | None = None,
     ) -> list[SearchItem]:
-        """Asynchronously search for items within a namespace prefix.
-
-        See `BaseStore.asearch` for the full description of arguments and behavior.
-        """
         self._ensure_task()
         fut = self._loop.create_future()
         self._aqueue.put_nowait(
@@ -145,12 +137,6 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         ttl: float | None | NotProvided = NOT_PROVIDED,
     ) -> None:
-        """Asynchronously store or update an item.
-
-        `value` must be a `dict`; a top-level `None` is reserved as the delete
-        signal (prefer `adelete`). See `BaseStore.aput` for the full description
-        of arguments and behavior.
-        """
         self._ensure_task()
         _validate_namespace(namespace)
         fut = self._loop.create_future()
@@ -169,10 +155,6 @@ class AsyncBatchedBaseStore(BaseStore):
         namespace: tuple[str, ...],
         key: str,
     ) -> None:
-        """Asynchronously delete an item.
-
-        See `BaseStore.adelete` for the full description of arguments and behavior.
-        """
         self._ensure_task()
         fut = self._loop.create_future()
         self._aqueue.put_nowait((fut, PutOp(namespace, key, None)))
@@ -187,11 +169,6 @@ class AsyncBatchedBaseStore(BaseStore):
         limit: int = 100,
         offset: int = 0,
     ) -> list[tuple[str, ...]]:
-        """Asynchronously list and filter namespaces in the store.
-
-        Namespace matching is case-sensitive. See `BaseStore.alist_namespaces`
-        for the full description of arguments and behavior.
-        """
         self._ensure_task()
         fut = self._loop.create_future()
         match_conditions = []
@@ -211,10 +188,6 @@ class AsyncBatchedBaseStore(BaseStore):
 
     @_check_loop
     def batch(self, ops: Iterable[Op]) -> list[Result]:
-        """Execute multiple operations synchronously in a single batch.
-
-        See `BaseStore.batch` for the full description of arguments and behavior.
-        """
         return asyncio.run_coroutine_threadsafe(self.abatch(ops), self._loop).result()
 
     @_check_loop
@@ -225,10 +198,6 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         refresh_ttl: bool | None = None,
     ) -> Item | None:
-        """Retrieve a single item.
-
-        See `BaseStore.get` for the full description of arguments and behavior.
-        """
         return asyncio.run_coroutine_threadsafe(
             self.aget(namespace, key=key, refresh_ttl=refresh_ttl), self._loop
         ).result()
@@ -245,10 +214,6 @@ class AsyncBatchedBaseStore(BaseStore):
         offset: int = 0,
         refresh_ttl: bool | None = None,
     ) -> list[SearchItem]:
-        """Search for items within a namespace prefix.
-
-        See `BaseStore.search` for the full description of arguments and behavior.
-        """
         return asyncio.run_coroutine_threadsafe(
             self.asearch(
                 namespace_prefix,
@@ -271,12 +236,6 @@ class AsyncBatchedBaseStore(BaseStore):
         *,
         ttl: float | None | NotProvided = NOT_PROVIDED,
     ) -> None:
-        """Store or update an item.
-
-        `value` must be a `dict`; a top-level `None` is reserved as the delete
-        signal (prefer `delete`). See `BaseStore.put` for the full description of
-        arguments and behavior.
-        """
         _validate_namespace(namespace)
         asyncio.run_coroutine_threadsafe(
             self.aput(

libs/checkpoint/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint"
-version = "4.1.1"
+version = "4.1.0a4"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint/tests/test_conformance_delta.py

@@ -25,6 +25,8 @@ 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():

libs/checkpoint/tests/test_jsonplus.py

@@ -398,193 +398,6 @@ def test_deserde_invalid_module() -> None:
     serde.loads_typed(("json", json.dumps(load).encode("utf-8")))
 
 
-def test_lc2_json_method_field_is_ignored() -> None:
-    """The `method` field on lc=2 envelopes is ignored.
-
-    Regression test for GHSA-fjqc-hq36-qh5p: `_revive_lc2` previously resolved
-    `getattr(cls, method)` from the envelope, which let an attacker pivot a
-    safe pydantic class (e.g., AIMessage) to `parse_raw(..., allow_pickle=True)`
-    and reach `pickle.loads`. Revival now uses only the default constructor.
-
-    Verifies that an envelope carrying ``method="parse_raw"`` does not dispatch
-    to that method: the result is whatever ``AIMessage(*args, **kwargs)`` would
-    produce, which proves the default constructor ran instead of ``parse_raw``.
-    """
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": "parse_raw",
-        "args": ["default-ctor-ran"],
-        "kwargs": {"content_type": "application/pickle", "allow_pickle": True},
-    }
-    result = serde._revive_lc2(load)
-    # Default constructor accepts `content` as first positional arg. If parse_raw
-    # had been invoked instead, it would have attempted JSON/pickle parsing and
-    # raised (or executed the pickle gadget); neither would produce this result.
-    assert isinstance(result, AIMessage)
-    assert result.content == "default-ctor-ran"
-
-
-def test_lc2_json_method_field_is_ignored_for_allowlisted_types() -> None:
-    """The `method` field is ignored even when the class is explicitly allowlisted.
-
-    A user who configures ``allowed_json_modules`` for a class no longer gets
-    method dispatch as a side effect. Revival is restricted to the default
-    constructor regardless of how the class reached the revival path.
-    """
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer(
-        allowed_json_modules=[("langchain_core.messages.ai", "AIMessage")]
-    )
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": "parse_raw",
-        "args": ["default-ctor-ran"],
-    }
-    result = serde._revive_lc2(load)
-    assert isinstance(result, AIMessage)
-    assert result.content == "default-ctor-ran"
-
-
-def test_lc2_json_safe_type_init_still_works() -> None:
-    """SAFE-type lc=2 revival without a `method` field still constructs the class."""
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "kwargs": {"content": "hi", "type": "ai"},
-    }
-    result = serde._revive_lc2(load)
-    assert isinstance(result, AIMessage)
-    assert result.content == "hi"
-
-
-def test_lc2_json_legacy_pydantic_method_list_falls_back_to_default() -> None:
-    """Legacy ``method=(None, "construct")`` envelopes still revive via the default ctor.
-
-    Pre-October-2025 langgraph emitted pydantic models with
-    ``method=(None, "construct")`` meaning "try default constructor, fall back
-    to pydantic ``construct``". The first entry (``None``) was always the
-    default constructor, which is what we now do unconditionally. Envelopes of
-    this shape continue to revive correctly as long as the default constructor
-    accepts the serialized kwargs.
-    """
-    from langchain_core.messages import AIMessage
-
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": [None, "construct"],
-        "kwargs": {"content": "legacy", "type": "ai"},
-    }
-    result = serde._revive_lc2(load)
-    assert isinstance(result, AIMessage)
-    assert result.content == "legacy"
-
-
-def test_lc2_json_legacy_construct_payload_logs_warning_when_default_init_rejects(
-    caplog: pytest.LogCaptureFixture,
-) -> None:
-    """Legacy `method=[None, "construct"]` envelopes whose kwargs the default
-    `__init__` rejects now revive to `None` and emit an observable warning.
-
-    Pre-October-2025 langgraph emitted pydantic payloads with
-    `method=[None, "construct"]` so the reviver could fall back to
-    `cls.construct(**kwargs)` when the default constructor raised a
-    validation error. That fallback was removed with method-field dispatch
-    (GHSA-fjqc-hq36-qh5p), so these payloads now silently fail validation. A
-    `logger.warning` makes the regression observable to operators instead of
-    letting the envelope quietly degrade to its raw-dict form.
-    """
-    serde = JsonPlusSerializer()
-    load = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        # Legacy two-entry method tuple: try default ctor, fall back to construct.
-        "method": [None, "construct"],
-        # ``type="not-a-real-message-type"`` fails AIMessage's Literal["ai"]
-        # validator under the default constructor. Before the GHSA patch this
-        # would have fallen back to ``cls.construct(**kwargs)``; now it must
-        # return None and log.
-        "kwargs": {"content": "legacy", "type": "not-a-real-message-type"},
-    }
-
-    with caplog.at_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus"):
-        result = serde._revive_lc2(load)
-
-    assert result is None, (
-        "Legacy method=[None, 'construct'] payloads with kwargs the default "
-        "ctor rejects must now return None (no construct() fallback)."
-    )
-
-    matching = [
-        r
-        for r in caplog.records
-        if r.name == "langgraph.checkpoint.serde.jsonplus"
-        and r.levelno == logging.WARNING
-        and "langchain_core.messages.ai.AIMessage" in r.getMessage()
-        and "legacy_method_field=True" in r.getMessage()
-    ]
-    assert matching, (
-        "Expected a WARNING from langgraph.checkpoint.serde.jsonplus "
-        "referencing the class id and legacy_method_field=True; "
-        f"got records: {[(r.name, r.levelname, r.getMessage()) for r in caplog.records]}"
-    )
-
-
-def test_lc2_json_safe_type_pickle_payload_does_not_execute() -> None:
-    """End-to-end: a `parse_raw` pickle gadget payload on a SAFE type must not run.
-
-    With method dispatch removed from `_revive_lc2`, the gadget bytes are never
-    passed to `parse_raw` and therefore never reach `pickle.loads`.
-    """
-    import os
-    import pickle
-    import tempfile
-
-    marker = tempfile.NamedTemporaryFile(
-        prefix="lc2_block_proof_", suffix=".out", delete=False
-    ).name
-    os.remove(marker)  # ensure absent before the test runs
-
-    class _Gadget:
-        def __reduce__(self) -> tuple:
-            return (os.system, (f"touch {marker}",))
-
-    gadget_bytes = pickle.dumps(_Gadget(), protocol=0).decode("latin1")
-    envelope = {
-        "lc": 2,
-        "type": "constructor",
-        "id": ["langchain_core", "messages", "ai", "AIMessage"],
-        "method": "parse_raw",
-        "args": [gadget_bytes],
-        "kwargs": {"content_type": "application/pickle", "allow_pickle": True},
-    }
-
-    serde = JsonPlusSerializer()
-    try:
-        serde.loads_typed(("json", json.dumps(envelope).encode()))
-    except Exception:
-        pass
-
-    assert not os.path.exists(marker), (
-        "Pickle gadget executed via parse_raw on AIMessage lc=2 envelope"
-    )
-
-
 def test_serde_jsonplus_bytearray() -> None:
     serde = JsonPlusSerializer()
 

libs/checkpoint/uv.lock

@@ -31,46 +31,6 @@ wheels = [
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 ]
 
-[[package]]
-name = "ast-serialize"
-version = "0.5.0"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/81/9d/09e27731bd5864a9ce04e3244074e674bb8936bf62b45e0357248717adac/ast_serialize-0.5.0.tar.gz", hash = "sha256:5880091bfe6f4f986f22866375c2e884843e7a0b6343ae41aeea659613d879b6", size = 61157, upload-time = "2026-05-17T17:48:29.429Z" }
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+    { url = "https://files.pythonhosted.org/packages/33/f1/9614e03e1cdcbf9437570b5400ced8a720b5db22b28d8e0f1bda429f660d/ruff-0.15.12-py3-none-win_amd64.whl", hash = "sha256:c87a162d61ab3adca47c03f7f717c68672edec7d1b5499e652331780fe74950d", size = 11837758, upload-time = "2026-04-24T18:17:00.113Z" },
+    { url = "https://files.pythonhosted.org/packages/c0/98/6beb4b351e472e5f4c4613f7c35a5290b8be2497e183825310c4c3a3984b/ruff-0.15.12-py3-none-win_arm64.whl", hash = "sha256:a538f7a82d061cee7be55542aca1d86d1393d55d81d4fcc314370f4340930d4f", size = 11120821, upload-time = "2026-04-24T18:16:57.979Z" },
 ]
 
 [[package]]
@@ -1504,11 +1463,11 @@ wheels = [
 
 [[package]]
 name = "urllib3"
-version = "2.7.0"
+version = "2.6.3"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
+    { url = "https://files.pythonhosted.org/packages/39/08/aaaad47bc4e9dc8c725e68f9d04865dbcb2052843ff09c97b08904852d84/urllib3-2.6.3-py3-none-any.whl", hash = "sha256:bf272323e553dfb2e87d9bfd225ca7b0f467b919d7bbd355436d3fd37cb0acd4", size = 131584, upload-time = "2026-01-07T16:24:42.685Z" },
 ]
 
 [[package]]

libs/cli/js-examples/package.json

@@ -21,25 +21,25 @@
     "test:all": "yarn test && yarn test:int && yarn lint:langgraph"
   },
   "dependencies": {
-    "@langchain/core": "^1.1.48",
-    "@langchain/langgraph": "^1.3.3"
+    "@langchain/core": "^1.1.42",
+    "@langchain/langgraph": "^1.2.9"
   },
   "devDependencies": {
     "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
     "@tsconfig/recommended": "^1.0.13",
     "@types/jest": "^30.0.0",
-    "@typescript-eslint/eslint-plugin": "^8.60.1",
-    "@typescript-eslint/parser": "^8.60.1",
+    "@typescript-eslint/eslint-plugin": "^8.59.1",
+    "@typescript-eslint/parser": "^8.59.1",
     "dotenv": "^17.4.2",
-    "eslint": "^10.4.1",
+    "eslint": "^10.2.1",
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.32.0",
     "eslint-plugin-no-instanceof": "^1.0.1",
-    "eslint-plugin-prettier": "^5.5.6",
-    "jest": "^30.4.2",
+    "eslint-plugin-prettier": "^5.5.5",
+    "jest": "^30.3.0",
     "prettier": "^3.8.3",
-    "ts-jest": "^29.4.11",
-    "typescript": "^6.0.3"
+    "ts-jest": "^29.4.9",
+    "typescript": "^5.9.3"
   }
 }

libs/cli/js-monorepo-example/apps/agent/package.json

@@ -9,10 +9,10 @@
   },
   "dependencies": {
     "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^1.1.48",
-    "@langchain/langgraph": "^1.3.3"
+    "@langchain/core": "^1.1.42",
+    "@langchain/langgraph": "^1.2.9"
   },
   "devDependencies": {
-    "typescript": "^6.0.3"
+    "typescript": "^5.9.3"
   }
 }

libs/cli/js-monorepo-example/libs/shared/package.json

@@ -9,6 +9,6 @@
     "clean": "rm -rf dist"
   },
   "devDependencies": {
-    "typescript": "^6.0.3"
+    "typescript": "^5.9.3"
   }
 }

libs/cli/js-monorepo-example/package.json

@@ -17,18 +17,18 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.9.16",
-    "typescript": "^6.0.3",
+    "turbo": "^2.9.7",
+    "typescript": "^5.9.3",
     "@tsconfig/recommended": "^1.0.13",
     "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
-    "eslint": "^10.4.1",
+    "eslint": "^10.2.1",
     "eslint-config-prettier": "^10.1.8",
     "eslint-plugin-import": "^2.27.5",
     "eslint-plugin-no-instanceof": "^1.0.1",
-    "eslint-plugin-prettier": "^5.5.6",
-    "@typescript-eslint/eslint-plugin": "^8.60.1",
-    "@typescript-eslint/parser": "^8.60.1",
+    "eslint-plugin-prettier": "^5.5.5",
+    "@typescript-eslint/eslint-plugin": "^8.59.1",
+    "@typescript-eslint/parser": "^8.59.1",
     "prettier": "^3.8.3"
   }
 }

libs/cli/js-monorepo-example/tsconfig.json

@@ -3,7 +3,7 @@
   "compilerOptions": {
     "target": "ES2022",
     "module": "ESNext",
-    "moduleResolution": "bundler",
+    "moduleResolution": "node",
     "allowSyntheticDefaultImports": true,
     "esModuleInterop": true,
     "skipLibCheck": true,

libs/cli/js-monorepo-example/yarn.lock

@@ -28,10 +28,10 @@
     debug "^4.3.1"
     minimatch "^10.2.4"
 
-"@eslint/config-helpers@^0.6.0":
-  version "0.6.0"
-  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.6.0.tgz#ef9a36881d39dfd5dbeac22b0da997fabfb08b03"
-  integrity sha512-ii6Bw9jJ2zi2cWA2Z+9/QZ/+3DX6kwaV5Q986D/CdP3Lap3w/pgQZ373FV7byY/i7L4IRH/G43I5dz1ClsCbpA==
+"@eslint/config-helpers@^0.5.5":
+  version "0.5.5"
+  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.5.tgz#ae16134e4792ac5fbdc533548a24ac1ea9f7f3ae"
+  integrity sha512-eIJYKTCECbP/nsKaaruF6LW967mtbQbsw4JTtSVkUQc9MneSkbrgPJAbKl9nWr0ZeowV8BfsarBmPpBzGelA2w==
   dependencies:
     "@eslint/core" "^1.2.1"
 
@@ -67,10 +67,10 @@
   resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.5.tgz#88e9bf4d11d2b19c082e78ebe7ce88724a5eb091"
   integrity sha512-vqTaUEgxzm+YDSdElad6PiRoX4t8VGDjCtt05zn4nU810UIx/uNEV7/lZJ6KwFThKZOzOxzXy48da+No7HZaMw==
 
-"@eslint/plugin-kit@^0.7.2":
-  version "0.7.2"
-  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.7.2.tgz#4b0962f3f2c7ce8bc98b3ecfe34525c09d2cb729"
-  integrity sha512-+CNAzxglkrpNf/kKywqQfk74QjtceuOE7Qm+AF8miRvPF/wmmK5+OJOgVh3AVTT3RP2mH3+FOaxlE5v72owk0A==
+"@eslint/plugin-kit@^0.7.1":
+  version "0.7.1"
+  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.7.1.tgz#c4125fd015eceeb09b793109fdbcd4dd0a02d346"
+  integrity sha512-rZAP3aVgB9ds9KOeUSL+zZ21hPmo8dh6fnIFwRQj5EAZl9gzR7wxYbYXYysAM8CTqGmUGyp2S4kUdV17MnGuWQ==
   dependencies:
     "@eslint/core" "^1.2.1"
     levn "^0.4.1"
@@ -103,57 +103,53 @@
   resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
   integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
 
-"@langchain/core@^1.1.48":
-  version "1.1.48"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.48.tgz#dfe7f6a64b0e3e79e5357ed4b402c021ee315a7f"
-  integrity sha512-fQU6Guyb1pwc2fEplmA8FPbKfOMAofjnyJzExevro0FxEiuGHE18Ov/ZHmT9trWCDTZRI9eW1VIc6aChxV8pAQ==
+"@langchain/core@^1.1.42":
+  version "1.1.42"
+  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.42.tgz#607bfd34c1414c9cbeb2859fda1b254a14c28085"
+  integrity sha512-d0tN96BrwPMryYyWR9VfyAntSivn7EQrZCe5Kpxum93tcjTXbKKmKvItFec8AluQt88iTcmAJrahUZUNfzGwTA==
   dependencies:
     "@cfworker/json-schema" "^4.0.2"
     "@standard-schema/spec" "^1.1.0"
+    ansi-styles "^5.0.0"
+    camelcase "6"
+    decamelize "1.2.0"
     js-tiktoken "^1.0.12"
     langsmith ">=0.5.0 <1.0.0"
     mustache "^4.2.0"
     p-queue "^6.6.2"
     zod "^3.25.76 || ^4"
 
-"@langchain/langgraph-checkpoint@^1.0.4":
-  version "1.0.4"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.4.tgz#893aa7255b2fe810fdeb50281f6750a3b0a6fef7"
-  integrity sha512-1y5MgZ0gXXrtmoy56e3kaBChI3GwFPIKl27xkrHwN+VE/3iUsyr9gO3Jtp7kdKAe6diZGbcas5bdC/r0yUwTZA==
+"@langchain/langgraph-checkpoint@^1.0.1":
+  version "1.0.1"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-checkpoint/-/langgraph-checkpoint-1.0.1.tgz#0ee5bdfeb9878d8d1d99347f23e199e5afd52995"
+  integrity sha512-HM0cJLRpIsSlWBQ/xuDC67l52SqZ62Bh2Y61DX+Xorqwoh5e1KxYvfCD7GnSTbWWhjBOutvnR0vPhu4orFkZfw==
   dependencies:
-    uuid "^14.0.0"
+    uuid "^10.0.0"
 
-"@langchain/langgraph-sdk@~1.9.11":
-  version "1.9.11"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.9.11.tgz#d16f18b2c48e544436489172d86b3c78524eb679"
-  integrity sha512-mhadkZy4LQ97NJwvATiVIkSxVfOnauXNhrVHFgGnzyqr5zzPLS0VIKJW9xKT+pM8yLqW8Qj6+nPPNhwGUaxoRw==
+"@langchain/langgraph-sdk@~1.8.9":
+  version "1.8.10"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.10.tgz#bd175cda1ab629845ef28b22b45f3bdd1f65b029"
+  integrity sha512-wrB3rkRw5KAmsqezwvKP3midT4qJrV6Hj9XJMYo+cbvXC4HYpSAmyY/VriSyeTFRbLG/OP/pY2Yz+9Z54nSaXQ==
   dependencies:
-    "@langchain/protocol" "^0.0.16"
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
-    uuid "^14.0.0"
+    uuid "^13.0.0"
 
-"@langchain/langgraph@^1.3.3":
-  version "1.3.3"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.3.3.tgz#c7bb19029e37971116e07101be3d8fd4b6483d50"
-  integrity sha512-8xbpGUQNBcWua7ivT5vUvDnQ+6Qbt0JO8RisgXZ8guPXNqh8plGVvrODW68S4AlJbOYY2yi0ROKtrL/1yN3MBQ==
+"@langchain/langgraph@^1.2.9":
+  version "1.2.9"
+  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.9.tgz#4f0ba159062c3649c83cf5f621ef926b96933e32"
+  integrity sha512-3c7BtGycHC2v9p6w/Hv8L7kEl1YnZYOQTDJtmAp3knk6JOedO7d2bYP3y0SRyhv5orUEGf/KGvx8ZsB/ideP7g==
   dependencies:
-    "@langchain/langgraph-checkpoint" "^1.0.4"
-    "@langchain/langgraph-sdk" "~1.9.11"
-    "@langchain/protocol" "^0.0.16"
+    "@langchain/langgraph-checkpoint" "^1.0.1"
+    "@langchain/langgraph-sdk" "~1.8.9"
     "@standard-schema/spec" "1.1.0"
-    uuid "^14.0.0"
+    uuid "^10.0.0"
 
-"@langchain/protocol@^0.0.16":
-  version "0.0.16"
-  resolved "https://registry.yarnpkg.com/@langchain/protocol/-/protocol-0.0.16.tgz#68b63d58feaf4f0acf77405cb8fb16f9c3f09b60"
-  integrity sha512-ws+J7MaHyhO5dG7f0vdyHQiUn9hoCnki0f3crJPa4MCTGzcRC39jYSCghyrGtBPYQnZbUQiGyRVpW3z3M8IpJg==
-
-"@pkgr/core@^0.3.6":
-  version "0.3.6"
-  resolved "https://registry.yarnpkg.com/@pkgr/core/-/core-0.3.6.tgz#3569708bd4be4d8870ba32bf1c456dac81600d97"
-  integrity sha512-SEeaJLb3qBNF/OaXnaR1NmmBbFYk1zC0ZH/52fATcRPLFg/p791YrcyFFy44Bo9sLaGuSuLp5Q6axbb/O+v/RA==
+"@pkgr/core@^0.2.9":
+  version "0.2.9"
+  resolved "https://registry.yarnpkg.com/@pkgr/core/-/core-0.2.9.tgz#d229a7b7f9dac167a156992ef23c7f023653f53b"
+  integrity sha512-QNqXyfVS2wm9hweSYD2O7F0G06uurj9kZ96TRQE5Y9hU7+tgdZwIkbAKc5Ocy1HxEY2kuDQa6cQ1WRs/O5LFKA==
 
 "@rtsao/scc@^1.1.0":
   version "1.1.0"
@@ -170,35 +166,35 @@
   resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
   integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==
 
-"@turbo/darwin-64@2.9.16":
-  version "2.9.16"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.16.tgz#f4146eab98e020d658a9a5d7feb846acba653546"
-  integrity sha512-jLjApWTSNd7JZ5JaLYfelW1ytnGQOvB7ivl+2RD1xQvJTbi8I9gBjzcga7tDZVPyaxpl10YTfJt3BrYXR18KDw==
+"@turbo/darwin-64@2.9.7":
+  version "2.9.7"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.7.tgz#46fddae01ea7817192dc6ff36a678cc3879b753b"
+  integrity sha512-wnvOWuVWJ5EUHNKxExEWiGlTeVpLG1L0PCu5MUozyC1P2SHGiWsmpW6/yAuShH91Fa2TAHOvdCRBzriZh4j4Eg==
 
-"@turbo/darwin-arm64@2.9.16":
-  version "2.9.16"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.16.tgz#1d01ca232fc189045d6a4dba4741f462e0343b8c"
-  integrity sha512-YPgrn+5HIGzrx0O2a631SV4MBQUe4W/DafMFUuBVgaU32PW9/OTT0ehviF0QSxTXuRJlHvW2eUTemddF5/spmw==
+"@turbo/darwin-arm64@2.9.7":
+  version "2.9.7"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.7.tgz#cd7cf3a024509af0f59ae3885216d62fd090fdb6"
+  integrity sha512-mA0FIPMwwN3lodDkQYaGxj6PeT7ZaN5aCEbkKn/WB+ZB9yJdVWA4J83GH7t43jqDc5dcnVluVN5UFx3plRiXhA==
 
-"@turbo/linux-64@2.9.16":
-  version "2.9.16"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.16.tgz#8db630e6e5681a2ea48f7df1bca57bbd9bdf3e25"
-  integrity sha512-vAEf1H6l26lTpl9FJ/peQo1NUB8RC0sbEJJz5mPcUhHA2bPDup2x3CZPgo/bH8S4cUcBLm4FN3UHd5iUO2RAew==
+"@turbo/linux-64@2.9.7":
+  version "2.9.7"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.7.tgz#25ee9a2cb3042498a3203e14653b14041105020f"
+  integrity sha512-fEbUYpgb5l7P+q+5tsWF2gw+/GSjUsuUTcnfm+f0lozUjgcjLKyOat6PgtAChmIFcTPchCL/8rJ3TvkBy01gfA==
 
-"@turbo/linux-arm64@2.9.16":
-  version "2.9.16"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.16.tgz#d1de82fc8075c4774b214dd2f5e8e2570bb03643"
-  integrity sha512-xDBLR2PZg4BrQOchfG6svgpv5FCNJ2TOtT2psLdEJcdKo1BH+pnPs9Xj6pvUjgfkHbuvBOfeE4R6tvxMoQKDHQ==
+"@turbo/linux-arm64@2.9.7":
+  version "2.9.7"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.7.tgz#5b19d6249a50cb8153b8f2bc22ad10bbda614fbe"
+  integrity sha512-VkUjulo9ytfHKUHOS5gy0XPoh4CTKPXWCL8nLdrlHVi9fSut31ECeUqnm/dAbETP5D4xo9mH9XkJ+qMzGe/zmg==
 
-"@turbo/windows-64@2.9.16":
-  version "2.9.16"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.16.tgz#e369c51edd737978651c2f6b4ce49b582976d66f"
-  integrity sha512-NBAJnaUiGdgkSzQwUIdOvkCkcpTSu58G/sBGa0mvBtzfvFOOgrQwepKOOQ8cp6sWM6OcKDNFj2p1dsZA1OWjPg==
+"@turbo/windows-64@2.9.7":
+  version "2.9.7"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.7.tgz#900645776fa44ff8333e801d890992736f6dbc72"
+  integrity sha512-/GWdY6/x4aIHqkYJq596Rpdk1x0MkpRPkJcLAoB3yGRwyUms0+u2F1GnV54IbyAZTeKLRWSJKzNC+QwVGdYchA==
 
-"@turbo/windows-arm64@2.9.16":
-  version "2.9.16"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.16.tgz#dbb2b2863e80eb9ca8da8bd8da63e2cc457e470c"
-  integrity sha512-Y7SJppD0Z8wjO3Ec0ZGd9KQ4Yv0BMnA8CIowj5Vp+OEVsosXDG2weK6/t1RRLfJmc2Ozrnd6y4DOgQys+mn3WQ==
+"@turbo/windows-arm64@2.9.7":
+  version "2.9.7"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.7.tgz#e678d73fdbcbb12a679403fe7ba070fb67f37810"
+  integrity sha512-xBBgxCC5PK2+WZ1PPRZdp+aJ0bMBcEbweXWux3RUHJvX9ZodcoQySkrW6qt+ahb+uk8ZjyQodLfDwtVSoYds1w==
 
 "@types/esrecurse@^4.3.1":
   version "4.3.1"
@@ -220,100 +216,100 @@
   resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
   integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
 
-"@typescript-eslint/eslint-plugin@^8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.60.1.tgz#c1060bb8fa4be80624d3f3dec8dd9caca373af76"
-  integrity sha512-JQ4S5GB0tfjO8BuJ4fcX+HodkzJjYBV+7OJ+wLygaX7OGQ7FudyHL4NSCA6ob+w3Yn+5MkKIozOwQhXeM7opVg==
+"@typescript-eslint/eslint-plugin@^8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.59.1.tgz#781bc6f9002982cfaf75a185240e24ad7276628a"
+  integrity sha512-BOziFIfE+6osHO9FoJG4zjoHUcvI7fTNBSpdAwrNH0/TLvzjsk2oo8XSSOT2HhqUyhZPfHv4UOffoJ9oEEQ7Ag==
   dependencies:
     "@eslint-community/regexpp" "^4.12.2"
-    "@typescript-eslint/scope-manager" "8.60.1"
-    "@typescript-eslint/type-utils" "8.60.1"
-    "@typescript-eslint/utils" "8.60.1"
-    "@typescript-eslint/visitor-keys" "8.60.1"
+    "@typescript-eslint/scope-manager" "8.59.1"
+    "@typescript-eslint/type-utils" "8.59.1"
+    "@typescript-eslint/utils" "8.59.1"
+    "@typescript-eslint/visitor-keys" "8.59.1"
     ignore "^7.0.5"
     natural-compare "^1.4.0"
     ts-api-utils "^2.5.0"
 
-"@typescript-eslint/parser@^8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.60.1.tgz#a9d7f30850384d34b41f4687dd8944823c09e289"
-  integrity sha512-A0M6ua6H252bVjPvvtSgl2QA4+ET9S5Mtkb2GDyTxIhH/C4qDItT7RQNO5PhMC6NXGYXOR9dIalcDDgBKT7oFA==
+"@typescript-eslint/parser@^8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.59.1.tgz#835d20a62350659a082a1ae2a60b822c40488905"
+  integrity sha512-HDQH9O/47Dxi1ceDhBXdaldtf/WV9yRYMjbjCuNk3qnaTD564qwv61Y7+gTxwxRKzSrgO5uhtw584igXVuuZkA==
   dependencies:
-    "@typescript-eslint/scope-manager" "8.60.1"
-    "@typescript-eslint/types" "8.60.1"
-    "@typescript-eslint/typescript-estree" "8.60.1"
-    "@typescript-eslint/visitor-keys" "8.60.1"
+    "@typescript-eslint/scope-manager" "8.59.1"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/typescript-estree" "8.59.1"
+    "@typescript-eslint/visitor-keys" "8.59.1"
     debug "^4.4.3"
 
-"@typescript-eslint/project-service@8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.60.1.tgz#eb29712f58d72c222fc727162e92f2ab4670971b"
-  integrity sha512-eXkTH2bxmXlqD1RnOPmLZ9ZM9D3VwSx04JOwBnP9RQ+yUA5a2Mu7SfW8uaV2Aon53NJzZlZYuX7tn91Izf+xaw==
+"@typescript-eslint/project-service@8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.59.1.tgz#49efe87c37ef84262f23df8bf62fdc56698ca6fe"
+  integrity sha512-+MuHQlHiEr00Of/IQbE/MmEoi44znZHbR/Pz7Opq4HryUOlRi+/44dro9Ycy8Fyo+/024IWtw8m4JUMCGTYxDg==
   dependencies:
-    "@typescript-eslint/tsconfig-utils" "^8.60.1"
-    "@typescript-eslint/types" "^8.60.1"
+    "@typescript-eslint/tsconfig-utils" "^8.59.1"
+    "@typescript-eslint/types" "^8.59.1"
     debug "^4.4.3"
 
-"@typescript-eslint/scope-manager@8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.60.1.tgz#2f875962eaad0a0789cc3c36aea9b4ddeb2dd9c8"
-  integrity sha512-gvI5OQoptnxQnchOirukCuQ55svJSTuD/4k5+pC267xyBtYry748R9/c3tYUzb/iE6RZfllRz2lVulLCHkTm4w==
+"@typescript-eslint/scope-manager@8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.59.1.tgz#ed90d054fc3db2d0c81464db3a953a94fb85bb58"
+  integrity sha512-LwuHQI4pDOYVKvmH2dkaJo6YZCSgouVgnS/z7yBPKBMvgtBvyLqiLy9Z6b7+m/TRcX1NFYUqZetI5Y+aT4GEfg==
   dependencies:
-    "@typescript-eslint/types" "8.60.1"
-    "@typescript-eslint/visitor-keys" "8.60.1"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/visitor-keys" "8.59.1"
 
-"@typescript-eslint/tsconfig-utils@8.60.1", "@typescript-eslint/tsconfig-utils@^8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.60.1.tgz#bee8b942a13679a878101c9c74577d732062ed93"
-  integrity sha512-nh8w4qAteiKuZu3pSSzG/yGKpw0OlkrKnzFmbVRenKaD4qc+7i1GrmZaLVkr8rk4uipiPGMOW4YsM6WmKZ5CvA==
+"@typescript-eslint/tsconfig-utils@8.59.1", "@typescript-eslint/tsconfig-utils@^8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.59.1.tgz#ba2a779a444f1d5cb92a606f9b209d239fd4cab1"
+  integrity sha512-/0nEyPbX7gRsk0Uwfe4ALwwgxuA66d/l2mhRDNlAvaj4U3juhUtJNq0DsY8M2AYwwb9rEq2hrC3IcIcEt++iJA==
 
-"@typescript-eslint/type-utils@8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.60.1.tgz#1ae45f0f2a701354beea4a58c2161e40a5e3c379"
-  integrity sha512-sdwTrpjosW7ANQYJ39ZBF1ZyEMEGVB2UsikrserVM/30a/F1dTLnu9bGxEdosugyu5caigjLrR2qiD11asjI1A==
+"@typescript-eslint/type-utils@8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.59.1.tgz#9c83d3f2ed9187a815e8120f72c08317e513e409"
+  integrity sha512-klWPBR2ciQHS3f++ug/mVnWKPjBUo7icEL3FAO1lhAR1Z1i5NQYZ1EannMSRYcq5qCv5wNALlXr6fksRHyYl7w==
   dependencies:
-    "@typescript-eslint/types" "8.60.1"
-    "@typescript-eslint/typescript-estree" "8.60.1"
-    "@typescript-eslint/utils" "8.60.1"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/typescript-estree" "8.59.1"
+    "@typescript-eslint/utils" "8.59.1"
     debug "^4.4.3"
     ts-api-utils "^2.5.0"
 
-"@typescript-eslint/types@8.60.1", "@typescript-eslint/types@^8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.60.1.tgz#ccdc482ba9e17f9723a10ce240b5e67dad3046c4"
-  integrity sha512-4h0tY8ppCkdCzcrl2YM5M3my0xsE1Tf8om3owEu5oPWmXwkKRmk0j0LGDzYBGUcAlesEbxBhazqu/K4cu3Ug7w==
+"@typescript-eslint/types@8.59.1", "@typescript-eslint/types@^8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.59.1.tgz#c1d014d3f03a97e0113a8899fc9d4e45a7fb0ca9"
+  integrity sha512-ZDCjgccSdYPw5Bxh+my4Z0lJU96ZDN7jbBzvmEn0FZx3RtU1C7VWl6NbDx94bwY3V5YsgwRzJPOgeY2Q/nLG8A==
 
-"@typescript-eslint/typescript-estree@8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.60.1.tgz#016630b119228bf483ddc652703a6a038f3fdd74"
-  integrity sha512-alpRkfG8hlVE5kdJW2GkfgDgXxold3e8e4l6EnmhRmRLbekgAPCCGDVD++sABy9FcgPFroq+uFcCSM1vR57Cew==
+"@typescript-eslint/typescript-estree@8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.59.1.tgz#4391fadf98a22c869c5b6522dbf4e491e53e351a"
+  integrity sha512-OUd+vJS05sSkOip+BkZ/2NS8RMxrAAJemsC6vU3kmfLyeaJT0TftHkV9mcx2107MmsBVXXexhVu4F0TZXyMl4g==
   dependencies:
-    "@typescript-eslint/project-service" "8.60.1"
-    "@typescript-eslint/tsconfig-utils" "8.60.1"
-    "@typescript-eslint/types" "8.60.1"
-    "@typescript-eslint/visitor-keys" "8.60.1"
+    "@typescript-eslint/project-service" "8.59.1"
+    "@typescript-eslint/tsconfig-utils" "8.59.1"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/visitor-keys" "8.59.1"
     debug "^4.4.3"
     minimatch "^10.2.2"
     semver "^7.7.3"
     tinyglobby "^0.2.15"
     ts-api-utils "^2.5.0"
 
-"@typescript-eslint/utils@8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.60.1.tgz#31cf566095602d9fe8ad91837d2eb520b8de762b"
-  integrity sha512-h2MPBLoNtjc3qZWfY3Tl51yPorQ2McHn8pJfcMNTcIvrrZrr90Ykffit0yjrPFWQcRcUxzH20+6OcVdW4yHtUg==
+"@typescript-eslint/utils@8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.59.1.tgz#cf6204d69701bbbc5b150f98c18aeef0a42c10bd"
+  integrity sha512-3pIeoXhCeYH9FSCBI8P3iNwJlGuzPlYKkTlen2O9T1DSeeg8UG8jstq6BLk+Mda0qup7mgk4z4XL4OzRaxZ8LA==
   dependencies:
     "@eslint-community/eslint-utils" "^4.9.1"
-    "@typescript-eslint/scope-manager" "8.60.1"
-    "@typescript-eslint/types" "8.60.1"
-    "@typescript-eslint/typescript-estree" "8.60.1"
+    "@typescript-eslint/scope-manager" "8.59.1"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/typescript-estree" "8.59.1"
 
-"@typescript-eslint/visitor-keys@8.60.1":
-  version "8.60.1"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.60.1.tgz#165d1d8901137b944efaf18f00ab5ecb57f06995"
-  integrity sha512-EbGRQg4FhrmwLodl+t3JNAnXHWVr9Vp+Zl1QBZVPY4ByfkzIT8cX3K6QWODHtkIZqqJVEWvhHSx3v5PDHsaQag==
+"@typescript-eslint/visitor-keys@8.59.1":
+  version "8.59.1"
+  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.59.1.tgz#b5cba576287a3eeb0b400b62813189abcc3f976a"
+  integrity sha512-LdDNl6C5iJExcM0Yh0PwAIBb9PrSiCsWamF/JyEZawm3kFDnRoaq3LGE4bpyRao/fWeGKKyw7icx0YxrLFC5Cg==
   dependencies:
-    "@typescript-eslint/types" "8.60.1"
+    "@typescript-eslint/types" "8.59.1"
     eslint-visitor-keys "^5.0.0"
 
 acorn-jsx@^5.3.2:
@@ -341,6 +337,11 @@ ajv@^6.14.0:
     json-schema-traverse "^0.4.1"
     uri-js "^4.2.2"
 
+ansi-styles@^5.0.0:
+  version "5.2.0"
+  resolved "https://registry.yarnpkg.com/ansi-styles/-/ansi-styles-5.2.0.tgz#07449690ad45777d1924ac2abb2fc8895dba836b"
+  integrity sha512-Cxwpt2SfTzTtXcfOlzGEee8O+c+MmUgGrNiBcXnuWxuFJHe6a5Hz7qwhwe5OgaSYI0IJvkLqWX1ASG+cJOkEiA==
+
 argparse@^2.0.1:
   version "2.0.1"
   resolved "https://registry.yarnpkg.com/argparse/-/argparse-2.0.1.tgz#246f50f3ca78a3240f6c997e8a9bd1eac49e4b38"
@@ -489,6 +490,11 @@ callsites@^3.0.0:
   resolved "https://registry.yarnpkg.com/callsites/-/callsites-3.1.0.tgz#b3630abd8943432f54b3f0519238e33cd7df2f73"
   integrity sha512-P8BjAsXvZS+VIDUI11hHCQEv74YT67YUi5JJFNWIqL235sBmjX4+qx9Muvls5ivyNENctx46xQLQ3aTuE7ssaQ==
 
+camelcase@6:
+  version "6.3.0"
+  resolved "https://registry.yarnpkg.com/camelcase/-/camelcase-6.3.0.tgz#5685b95eb209ac9c0c177467778c9c84df58ba9a"
+  integrity sha512-Gmy6FhYlCY7uOElZUSbxo2UCDH8owEk996gkbrpsgGtrJLM3J7jGxl9Ic7Qwwj4ivOE5AWZWRMecDdF7hqGjFA==
+
 concat-map@0.0.1:
   version "0.0.1"
   resolved "https://registry.yarnpkg.com/concat-map/-/concat-map-0.0.1.tgz#d8a96bd77fd68df7793a73036a3ba0d5405d477b"
@@ -544,6 +550,11 @@ debug@^4.3.1, debug@^4.3.2, debug@^4.4.3:
   dependencies:
     ms "^2.1.3"
 
+decamelize@1.2.0:
+  version "1.2.0"
+  resolved "https://registry.yarnpkg.com/decamelize/-/decamelize-1.2.0.tgz#f6534d15148269b20352e7bee26f501f9a191290"
+  integrity sha512-z2S+W9X73hAUUki+N+9Za2lBlun89zigOyGrsax+KUQ6wKW4ZoWpEYBkGhQjwAjjDCkWxhY0VKEhk8wzY7F5cA==
+
 deep-is@^0.1.3:
   version "0.1.4"
   resolved "https://registry.yarnpkg.com/deep-is/-/deep-is-0.1.4.tgz#a6f2dce612fadd2ef1f519b73551f17e85199831"
@@ -742,13 +753,13 @@ eslint-plugin-no-instanceof@^1.0.1:
   resolved "https://registry.yarnpkg.com/eslint-plugin-no-instanceof/-/eslint-plugin-no-instanceof-1.0.1.tgz#5d9fc86d160df6991b654b294a62390207f1bb97"
   integrity sha512-zlqQ7EsfzbRO68uI+p8FIE7zYB4njs+nNbkNjSb5QmLi2et67zQLqSeaao5U9SpnlZTTJC87nS2oyHo2ACtajw==
 
-eslint-plugin-prettier@^5.5.6:
-  version "5.5.6"
-  resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.5.6.tgz#363ebe4d769bce157ccdd8129ce3efd91dc62564"
-  integrity sha512-ifetmTcxWfz+4qRW3pH/ujdTq2jQIj59AxJMIN26K5avYgU8dxycUETQonWiW+wPrYXA0j3Try0l1CnwVQtDqQ==
+eslint-plugin-prettier@^5.5.5:
+  version "5.5.5"
+  resolved "https://registry.yarnpkg.com/eslint-plugin-prettier/-/eslint-plugin-prettier-5.5.5.tgz#9eae11593faa108859c26f9a9c367d619a0769c0"
+  integrity sha512-hscXkbqUZ2sPithAuLm5MXL+Wph+U7wHngPBv9OMWwlP8iaflyxpjTYZkmdgB4/vPIhemRlBEoLrH7UC1n7aUw==
   dependencies:
     prettier-linter-helpers "^1.0.1"
-    synckit "^0.11.13"
+    synckit "^0.11.12"
 
 eslint-scope@^9.1.2:
   version "9.1.2"
@@ -775,17 +786,17 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
   resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
   integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
 
-eslint@^10.4.1:
-  version "10.4.1"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.4.1.tgz#f6640b176e0912246d9ddbf8fcfa5e8b7f02445a"
-  integrity sha512-AyIKhnOBuOAdueD7RB3xB+YeAWScb9jHsJBgH2Hcde8InP5JYhqrRR6iTMHyTEwgENK54Cp44e4v8BwNhsuHuw==
+eslint@^10.2.1:
+  version "10.2.1"
+  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.2.1.tgz#224b2a6caeb34473eddcf918762363e2e063222a"
+  integrity sha512-wiyGaKsDgqXvF40P8mDwiUp/KQjE1FdrIEJsM8PZ3XCiniTMXS3OHWWUe5FI5agoCnr8x4xPrTDZuxsBlNHl+Q==
   dependencies:
     "@eslint-community/eslint-utils" "^4.8.0"
     "@eslint-community/regexpp" "^4.12.2"
     "@eslint/config-array" "^0.23.5"
-    "@eslint/config-helpers" "^0.6.0"
+    "@eslint/config-helpers" "^0.5.5"
     "@eslint/core" "^1.2.1"
-    "@eslint/plugin-kit" "^0.7.2"
+    "@eslint/plugin-kit" "^0.7.1"
     "@humanfs/node" "^0.16.6"
     "@humanwhocodes/module-importer" "^1.0.1"
     "@humanwhocodes/retry" "^0.4.2"
@@ -1316,11 +1327,12 @@ keyv@^4.5.4:
     json-buffer "3.0.1"
 
 "langsmith@>=0.5.0 <1.0.0":
-  version "0.7.1"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.7.1.tgz#d721ad2e5211f9a5373e8a84eb4fed36b5621971"
-  integrity sha512-Wjk90UjNoY5cBHMlNAC/eZx5clI8jnjBOBW8uJu8+MWBtx0QesNjsUiLtjI+I3UnrpxFFpDqGXcnhBjH654Mqg==
+  version "0.5.20"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
+  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
   dependencies:
     p-queue "6.6.2"
+    uuid "10.0.0"
 
 levn@^0.4.1:
   version "0.4.1"
@@ -1772,12 +1784,12 @@ supports-preserve-symlinks-flag@^1.0.0:
   resolved "https://registry.yarnpkg.com/supports-preserve-symlinks-flag/-/supports-preserve-symlinks-flag-1.0.0.tgz#6eda4bd344a3c94aea376d4cc31bc77311039e09"
   integrity sha512-ot0WnXS9fgdkgIcePe6RHNk1WA8+muPa6cSjeR3V8K27q9BB1rTE3R1p7Hv0z1ZyAc8s6Vvv8DIyWf681MAt0w==
 
-synckit@^0.11.13:
-  version "0.11.13"
-  resolved "https://registry.yarnpkg.com/synckit/-/synckit-0.11.13.tgz#062a5ea57d81befc35892f8254de5c567e97c80a"
-  integrity sha512-eNRKgb3z66Yp3D2CixVujOUvXLFUTij/zVnV8KRyvFdQwpz7I5DS8UfRkTeLzb64u+dkzDSdelE24izu+zSSUg==
+synckit@^0.11.12:
+  version "0.11.12"
+  resolved "https://registry.yarnpkg.com/synckit/-/synckit-0.11.12.tgz#abe74124264fbc00a48011b0d98bdc1cffb64a7b"
+  integrity sha512-Bh7QjT8/SuKUIfObSXNHNSK6WHo6J1tHCqJsuaFDP7gP0fkzSfTxI8y85JrppZ0h8l0maIgc2tfuZQ6/t3GtnQ==
   dependencies:
-    "@pkgr/core" "^0.3.6"
+    "@pkgr/core" "^0.2.9"
 
 tinyglobby@^0.2.15:
   version "0.2.15"
@@ -1802,17 +1814,17 @@ tsconfig-paths@^3.15.0:
     minimist "^1.2.6"
     strip-bom "^3.0.0"
 
-turbo@^2.9.16:
-  version "2.9.16"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.16.tgz#ed72ff679c2c54bde0e3a2e40107416181e203a4"
-  integrity sha512-NqgRQy6j6dPYcdSdv0q1g9QsZg7SWg87RERM8otw/1AtKU2yTFVClOM7cbwKzOonZr/Ek1blTBucw64L9H0Bwg==
+turbo@^2.9.7:
+  version "2.9.7"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.7.tgz#da6d5a821f0bde5174e1a55af6690dad5c2fb004"
+  integrity sha512-epxzqVO2s0IxcSWcgb+qKrtco8isfe7g3VtiS6hkYnEK4A9XQDZbrtavQ6MtWR1KoQn+1fUomaQth2rfRHlUlg==
   optionalDependencies:
-    "@turbo/darwin-64" "2.9.16"
-    "@turbo/darwin-arm64" "2.9.16"
-    "@turbo/linux-64" "2.9.16"
-    "@turbo/linux-arm64" "2.9.16"
-    "@turbo/windows-64" "2.9.16"
-    "@turbo/windows-arm64" "2.9.16"
+    "@turbo/darwin-64" "2.9.7"
+    "@turbo/darwin-arm64" "2.9.7"
+    "@turbo/linux-64" "2.9.7"
+    "@turbo/linux-arm64" "2.9.7"
+    "@turbo/windows-64" "2.9.7"
+    "@turbo/windows-arm64" "2.9.7"
 
 type-check@^0.4.0, type-check@~0.4.0:
   version "0.4.0"
@@ -1866,10 +1878,10 @@ typed-array-length@^1.0.7:
     possible-typed-array-names "^1.0.0"
     reflect.getprototypeof "^1.0.6"
 
-typescript@^6.0.3:
-  version "6.0.3"
-  resolved "https://registry.yarnpkg.com/typescript/-/typescript-6.0.3.tgz#90251dc007916e972786cb94d74d15b185577d21"
-  integrity sha512-y2TvuxSZPDyQakkFRPZHKFm+KKVqIisdg9/CZwm9ftvKXLP8NRWj38/ODjNbr43SsoXqNuAisEf1GdCxqWcdBw==
+typescript@^5.9.3:
+  version "5.9.3"
+  resolved "https://registry.yarnpkg.com/typescript/-/typescript-5.9.3.tgz#5b4f59e15310ab17a216f5d6cf53ee476ede670f"
+  integrity sha512-jl1vZzPDinLr9eUt3J/t7V6FgNEw9QjvBPdysz9KfQDD41fQrC2Y4vKQdiaUpFT4bXlb1RHhLpp8wtm6M5TgSw==
 
 unbox-primitive@^1.1.0:
   version "1.1.0"
@@ -1888,10 +1900,15 @@ uri-js@^4.2.2:
   dependencies:
     punycode "^2.1.0"
 
-uuid@^14.0.0:
-  version "14.0.0"
-  resolved "https://registry.yarnpkg.com/uuid/-/uuid-14.0.0.tgz#0af883220163d264ffe0c084f6b8a89b9666966d"
-  integrity sha512-Qo+uWgilfSmAhXCMav1uYFynlQO7fMFiMVZsQqZRMIXp0O7rR7qjkj+cPvBHLgBqi960QCoo/PH2/6ZtVqKvrg==
+uuid@10.0.0, uuid@^10.0.0:
+  version "10.0.0"
+  resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
+  integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
+
+uuid@^13.0.0:
+  version "13.0.0"
+  resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
+  integrity sha512-XQegIaBTVUjSHliKqcnFqYypAd4S+WCYt5NIeRs6w/UAry7z8Y9j5ZwRRL4kzq9U3sD6v+85er9FvkEaBpji2w==
 
 which-boxed-primitive@^1.1.0, which-boxed-primitive@^1.1.1:
   version "1.1.1"

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.27"
+__version__ = "0.4.25"

libs/cli/langgraph_cli/config.py

@@ -35,12 +35,6 @@ DISALLOWED_BUILD_COMMAND_CHARS = [
 # This blocks background execution (cmd &) while allowing command
 # chaining (cmd1 && cmd2) which is common in build commands.
 _SINGLE_AMPERSAND_RE = re.compile(r"(?<!&)&(?:&&)*(?!&)")
-_API_VERSION_PATTERN = re.compile(
-    r"^(?P<major>\d+)"
-    r"(?:\.(?P<minor>\d+))?"
-    r"(?:\.(?P<patch>\d+))?"
-    r"(?:(?:\.|)(?:[A-Za-z][0-9A-Za-z]*))?$"
-)
 
 
 def has_disallowed_build_command_content(command: str) -> bool:
@@ -129,18 +123,6 @@ def _parse_node_version(version_str: str) -> int:
         ) from None
 
 
-def _parse_api_version_parts(version_str: str) -> tuple[int, ...]:
-    """Parse an API version into numeric components.
-
-    Supports optional prerelease suffixes, e.g. `0.9.0rc1`.
-    """
-    version_core = version_str.split("-", 1)[0]
-    match = _API_VERSION_PATTERN.fullmatch(version_core)
-    if not match:
-        raise ValueError("Version must be major or major.minor or major.minor.patch.")
-    return tuple(int(part) for part in match.groups() if part is not None)
-
-
 def _is_node_graph(spec: str | dict) -> bool:
     """Check if a graph is a Node.js graph based on the file extension."""
     if isinstance(spec, dict):
@@ -194,12 +176,12 @@ def validate_config(config: Config) -> Config:
             )
     if api_version:
         try:
-            parts = _parse_api_version_parts(api_version)
+            parts = tuple(map(int, api_version.split("-")[0].split(".")))
             if len(parts) > 3:
                 raise ValueError(
                     "Version must be major or major.minor or major.minor.patch."
                 )
-        except (TypeError, ValueError):
+        except TypeError:
             raise click.UsageError(
                 f"Invalid version format: {api_version}.\n\n"
                 "Pin to a minor version, e.g.:\n"

libs/cli/langgraph_cli/dependency_tracking.py

@@ -1,141 +0,0 @@
-"""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]

libs/cli/langgraph_cli/deploy.py

@@ -20,7 +20,6 @@ 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
@@ -850,41 +849,6 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
 # ---------------------------------------------------------------------------
 
 
-def _resolve_pushed_image_digest(
-    runner,
-    *,
-    remote_image: str,
-    docker_config_dir: str | None,
-    verbose: bool,
-) -> str:
-    """Return ``{registry}/{repo}@sha256:<hex>`` for a freshly-pushed image.
-
-    Reads ``RepoDigests`` via ``docker image inspect`` — the local daemon
-    records the registry's manifest digest there after a successful push.
-    Falls back to ``remote_image`` with a warning if no matching digest is
-    found, rather than failing the deploy.
-    """
-    # rsplit preserves ``:port`` in the registry host.
-    repo_no_tag = remote_image.rsplit(":", 1)[0]
-    args: list[str] = ["docker"]
-    if docker_config_dir:
-        args += ["--config", docker_config_dir]
-    args += ["image", "inspect", "--format", "{{json .RepoDigests}}", remote_image]
-    stdout, _ = runner.run(subp_exec(*args, collect=True, verbose=verbose))
-    try:
-        digests = json_mod.loads(stdout or "[]") or []
-    except json_mod.JSONDecodeError:
-        digests = []
-    for d in digests:
-        if isinstance(d, str) and d.startswith(f"{repo_no_tag}@sha256:"):
-            return d
-    _get_emitter().warn(
-        f"Could not resolve image digest for {remote_image}; "
-        "falling back to the tag-based reference. Re-run with --verbose for details."
-    )
-    return remote_image
-
-
 def _run_local_build(
     *,
     client: HostBackendClient,
@@ -903,7 +867,6 @@ 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
@@ -1052,21 +1015,9 @@ def _run_local_build(
                         raise
         step += 1
 
-        resolved_image = _resolve_pushed_image_digest(
-            runner,
-            remote_image=remote_image,
-            docker_config_dir=None,
-            verbose=verbose,
-        )
-
         # -- Step: Update deployment --
         _log_deploy_step(step, f"Updating deployment {deployment_id}")
-        updated = client.update_deployment(
-            deployment_id,
-            resolved_image,
-            secrets=secrets,
-            tracked_packages=tracked_packages,
-        )
+        updated = client.update_deployment(deployment_id, remote_image, secrets=secrets)
 
     return BuildResult(
         updated=updated if isinstance(updated, dict) else {},
@@ -1088,7 +1039,6 @@ 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
@@ -1119,7 +1069,6 @@ def _run_remote_build(
         secrets=secrets,
         install_command=install_command,
         build_command=build_command,
-        tracked_packages=tracked_packages,
     )
 
     log_offset: str | None = None
@@ -1604,15 +1553,6 @@ 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(
@@ -1625,7 +1565,6 @@ def _deploy_cmd(
             install_command=install_command,
             build_command=build_command,
             secrets=secrets,
-            tracked_packages=tracked_packages,
         )
     else:
         build_result = _run_local_build(
@@ -1645,7 +1584,6 @@ def _deploy_cmd(
             build_command=build_command,
             docker_build_args=docker_build_args,
             secrets=secrets,
-            tracked_packages=tracked_packages,
         )
 
     # -- 4. Shared wait + result --

libs/cli/langgraph_cli/host_backend.py

@@ -122,14 +122,11 @@ 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(
@@ -146,7 +143,6 @@ 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] = {
@@ -156,8 +152,6 @@ 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:

libs/cli/pyproject.toml

@@ -23,7 +23,7 @@ dependencies = [
 path = "langgraph_cli/__init__.py"
 [project.optional-dependencies]
 inmem = [
-    "langgraph-api>=0.5.35,<0.10.0 ; python_version >= '3.11'",
+    "langgraph-api>=0.5.35,<0.9.0 ; python_version >= '3.11'",
     "langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
 ]
 

libs/cli/tests/unit_tests/cli/test_cli.py

@@ -7,7 +7,6 @@ import textwrap
 from contextlib import contextmanager
 from pathlib import Path
 
-import click
 from click.testing import CliRunner
 
 import langgraph_cli.deploy as deploy_module
@@ -577,8 +576,7 @@ def test_deploy_delete_command(monkeypatch) -> None:
         "deployment_id": "dep-123",
     }
     assert (
-        "Are you sure you want to delete deployment ID dep-123? (Y/n):"
-        in click.unstyle(result.output)
+        "Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
     )
     assert result.output.strip().endswith("Deleted deployment dep-123.")
 

libs/cli/tests/unit_tests/test_config.py

@@ -2944,23 +2944,6 @@ def test_docker_tag_with_api_version(in_config: bool):
     assert tag == f"langchain/langgraph-server:{version}-py3.11"
 
 
-@pytest.mark.parametrize("in_config", [False, True])
-@pytest.mark.parametrize("version", ["0.9.0rc1", "0.9.0.dev1"])
-def test_docker_tag_with_prerelease_api_version(version: str, in_config: bool):
-    """Test docker_tag with prerelease and dev api_version values."""
-    config = validate_config(
-        {
-            "python_version": "3.11",
-            "dependencies": ["."],
-            "graphs": {"agent": "./agent.py:graph"},
-            "api_version": version if in_config else None,
-        }
-    )
-
-    tag = docker_tag(config, api_version=version if not in_config else None)
-    assert tag == f"langchain/langgraph-api:{version}-py3.11"
-
-
 def test_config_to_docker_with_api_version():
     """Test config_to_docker function with api_version parameter."""
 

libs/cli/tests/unit_tests/test_dependency_tracking.py

@@ -1,134 +0,0 @@
-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"]

libs/cli/tests/unit_tests/test_deploy_helpers.py

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

libs/cli/tests/unit_tests/test_host_backend.py

@@ -1,5 +1,3 @@
-import json
-
 import httpx
 import pytest
 
@@ -178,69 +176,6 @@ 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}

libs/cli/uv-examples/monorepo/apps/agent/pyproject.toml

@@ -7,7 +7,6 @@ dependencies = [
     "langgraph>=0.6.0,<2",
     "langchain-core>=0.2.14",
     "shared",
-    "langgraph-checkpoint-postgres>=3.0.0"
 ]
 
 [build-system]

libs/cli/uv-examples/monorepo/pyproject.toml

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

libs/cli/uv-examples/monorepo/uv.lock

@@ -16,7 +16,6 @@ source = { editable = "apps/agent" }
 dependencies = [
     { name = "langchain-core" },
     { name = "langgraph" },
-    { name = "langgraph-checkpoint-postgres" },
     { name = "shared" },
 ]
 
@@ -24,7 +23,6 @@ dependencies = [
 requires-dist = [
     { name = "langchain-core", specifier = ">=0.2.14" },
     { name = "langgraph", specifier = ">=0.6.0,<2" },
-    { name = "langgraph-checkpoint-postgres", specifier = ">=3.0.0" },
     { name = "shared", editable = "libs/shared" },
 ]
 
@@ -217,11 +215,10 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.3.3"
+version = "1.2.28"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
-    { name = "langchain-protocol" },
     { name = "langsmith" },
     { name = "packaging" },
     { name = "pydantic" },
@@ -230,21 +227,9 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1f/01/4771b7ab2af1d1aba5b710bd8f13d9225c609425214b357590a17b01be77/langchain_core-1.3.3-py3-none-any.whl", hash = "sha256:18aae8506f37da7f74398492279a7d6efcee4f8e23c4c41c7af080eeb7ef7bd1", size = 543857, upload-time = "2026-05-05T19:02:34.52Z" },
-]
-
-[[package]]
-name = "langchain-protocol"
-version = "0.0.15"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/4f/24/9777489d6fbbee64af0c8f96d4f840239c408cf694f3394672807dafc490/langchain_protocol-0.0.15.tar.gz", hash = "sha256:9ab2d11ee73944754f10e037e717098d3a6796f0e58afa9cadda6154e7655ade", size = 5862, upload-time = "2026-05-01T22:30:04.748Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/7a/9c97a7b9cbe4c5dc6a44cdb1545450c28f0c8ce89b9c1f0ee7fbad896263/langchain_protocol-0.0.15-py3-none-any.whl", hash = "sha256:461eb794358f83d5e42635a5797799ffec7b4702314e34edf73ac21e75d3ef79", size = 6982, upload-time = "2026-05-01T22:30:03.877Z" },
+    { url = "https://files.pythonhosted.org/packages/a8/92/32f785f077c7e898da97064f113c73fbd9ad55d1e2169cf3a391b183dedb/langchain_core-1.2.28-py3-none-any.whl", hash = "sha256:80764232581eaf8057bcefa71dbf8adc1f6a28d257ebd8b95ba9b8b452e8c6ac", size = 508727, upload-time = "2026-04-08T18:19:32.823Z" },
 ]
 
 [[package]]
@@ -277,21 +262,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/65/4c/09a4a0c42f5d2fc38d6c4d67884788eff7fd2cfdf367fdf7033de908b4c0/langgraph_checkpoint-4.0.1-py3-none-any.whl", hash = "sha256:e3adcd7a0e0166f3b48b8cf508ce0ea366e7420b5a73aa81289888727769b034", size = 50453, upload-time = "2026-02-27T21:06:14.293Z" },
 ]
 
-[[package]]
-name = "langgraph-checkpoint-postgres"
-version = "3.0.5"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "langgraph-checkpoint" },
-    { name = "orjson" },
-    { name = "psycopg" },
-    { name = "psycopg-pool" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/95/7a/8f439966643d32111248a225e6cb33a182d07c90de780c4dbfc1e0377832/langgraph_checkpoint_postgres-3.0.5.tar.gz", hash = "sha256:a8fd7278a63f4f849b5cbc7884a15ca8f41e7d5f7467d0a66b31e8c24492f7eb", size = 127856, upload-time = "2026-03-18T21:25:29.785Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/e8/87/b0f98b33a67204bca9d5619bcd9574222f6b025cf3c125eedcec9a50ecbc/langgraph_checkpoint_postgres-3.0.5-py3-none-any.whl", hash = "sha256:86d7040a88fd70087eaafb72251d796696a0a2d856168f5c11ef620771411552", size = 42907, upload-time = "2026-03-18T21:25:28.75Z" },
-]
-
 [[package]]
 name = "langgraph-prebuilt"
 version = "1.0.9"
@@ -320,7 +290,7 @@ wheels = [
 
 [[package]]
 name = "langsmith"
-version = "0.8.0"
+version = "0.7.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx" },
@@ -333,9 +303,9 @@ dependencies = [
     { name = "xxhash" },
     { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
+    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
 ]
 
 [[package]]
@@ -463,31 +433,6 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b7/b9/c538f279a4e237a006a2c98387d081e9eb060d203d8ed34467cc0f0b9b53/packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529", size = 74366, upload-time = "2026-01-21T20:50:37.788Z" },
 ]
 
-[[package]]
-name = "psycopg"
-version = "3.3.4"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
-    { name = "tzdata", marker = "sys_platform == 'win32'" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/db/2f/cb91e5502ec9de1de6f1b76cfbf69531932725361168bb06963620c77e2e/psycopg-3.3.4.tar.gz", hash = "sha256:e21207764952cff81b6b8bdacad9a3939f2793367fdac2987b3aac36a651b5bc", size = 165799, upload-time = "2026-05-01T23:31:55.179Z" }
-wheels = [
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-]
-
-[[package]]
-name = "psycopg-pool"
-version = "3.3.1"
-source = { registry = "https://pypi.org/simple" }
-dependencies = [
-    { name = "typing-extensions" },
-]
-sdist = { url = "https://files.pythonhosted.org/packages/90/82/7a23d26039827ecd4ebe93905651029ddd307c5182ad59296dfb6f67b528/psycopg_pool-3.3.1.tar.gz", hash = "sha256:b10b10b7a175d5cc1592147dc5b7eec8a9e0834eb3ed2c4a92c858e2f51eb63c", size = 31661, upload-time = "2026-05-01T23:31:59.809Z" }
-wheels = [
-    { url = "https://files.pythonhosted.org/packages/37/ed/89c2c620af0e1660354cd8aabf9f5b21f911597ce22acb37c805d6c86bc8/psycopg_pool-3.3.1-py3-none-any.whl", hash = "sha256:2af5b432941c4c9ad5c87b3fa410aec910ec8f7c122855897983a06c45f2e4b5", size = 40023, upload-time = "2026-05-01T23:31:53.136Z" },
-]
-
 [[package]]
 name = "pydantic"
 version = "2.12.5"
@@ -717,22 +662,13 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/dc/9b/47798a6c91d8bdb567fe2698fe81e0c6b7cb7ef4d13da4114b41d239f65d/typing_inspection-0.4.2-py3-none-any.whl", hash = "sha256:4ed1cacbdc298c220f1bd249ed5287caa16f34d44ef4e9c3d0cbad5b521545e7", size = 14611, upload-time = "2025-10-01T02:14:40.154Z" },
 ]
 
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 name = "xxhash"
 version = "3.6.0"

libs/langgraph/langgraph/_internal/_config.py

@@ -29,9 +29,6 @@ from langgraph._internal._constants import (
 )
 
 DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "10007"))
-DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT = int(
-    getenv("LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT", "5000")
-)
 
 
 def recast_checkpoint_ns(ns: str) -> str:
@@ -79,34 +76,6 @@ 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.
 
@@ -141,9 +110,34 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
                 else:
                     base[key] = value
             elif key == "callbacks":
-                base["callbacks"] = _merge_callbacks(
-                    base.get("callbacks"), cast(Callbacks, value)
-                )
+                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
             elif key == "recursion_limit":
                 if config["recursion_limit"] != DEFAULT_RECURSION_LIMIT:
                     base["recursion_limit"] = config["recursion_limit"]
@@ -312,40 +306,7 @@ 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:
-                    # 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))
-                    )
+                    empty[k] = cast(dict, v).copy()
                 else:
                     empty[k] = v  # type: ignore[literal-required]
         for k, v in config.items():
@@ -402,17 +363,3 @@ _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

libs/langgraph/langgraph/channels/delta.py

@@ -32,7 +32,7 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
         change in future releases. Threads written with `DeltaChannel` today
         are expected to remain readable, but the surrounding contract
         (`BaseCheckpointSaver.get_delta_channel_history`, the
-        `_DeltaSnapshot` blob shape, the `counters_since_delta_snapshot`
+        `_DeltaSnapshot` blob shape, the `delta_updates_since_snapshot`
         metadata field) is not yet stable.
 
     The reducer receives the current accumulated value and a batch of writes
@@ -47,12 +47,9 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
     This lets LangGraph replay checkpointed writes in larger batches than they
     were originally produced without changing reconstructed state.
 
-    Snapshot cadence is driven by two counters: per-channel update count and
-    total supersteps since last snapshot. `create_checkpoint` writes a full
-    `_DeltaSnapshot` blob when EITHER the update count reaches
-    `snapshot_frequency` OR the supersteps count reaches the system-wide
-    `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` bound (default 5000), bounding
-    replay depth even for channels that stop receiving writes.
+    Snapshot cadence is driven by per-channel update count. `create_checkpoint`
+    writes a full `_DeltaSnapshot` blob every `snapshot_frequency` updates to
+    this channel, bounding replay depth.
 
     Parameters:
         reducer: `(state, list[writes]) -> new_state`. Must be deterministic

libs/langgraph/langgraph/errors.py

@@ -21,7 +21,6 @@ __all__ = (
     "InvalidUpdateError",
     "GraphBubbleUp",
     "GraphInterrupt",
-    "NodeCancelledError",
     "NodeError",
     "NodeInterrupt",
     "NodeTimeoutError",
@@ -165,28 +164,6 @@ 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.
 

libs/langgraph/langgraph/graph/state.py

@@ -6,7 +6,7 @@ import typing
 import warnings
 from collections import defaultdict
 from collections.abc import Awaitable, Callable, Hashable, Sequence
-from dataclasses import dataclass, is_dataclass
+from dataclasses import is_dataclass
 from datetime import timedelta
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
@@ -95,17 +95,6 @@ __all__ = ("StateGraph", "CompiledStateGraph")
 logger = logging.getLogger(__name__)
 
 _CHANNEL_BRANCH_TO = "branch:to:{}"
-_DEFAULT_ERROR_HANDLER_NODE = "__default_error_handler__"
-
-
-@dataclass(slots=True)
-class _NodeDefaults:
-    """Default node policies applied to every node at compile time."""
-
-    retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None
-    cache_policy: CachePolicy | None = None
-    error_handler: StateNode[Any, Any] | None = None
-    timeout: TimeoutPolicy | None = None
 
 
 def _warn_invalid_state_schema(schema: type[Any] | Any) -> None:
@@ -262,77 +251,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         self.output_schema = cast(type[OutputT], output_schema or state_schema)
         self.context_schema = context_schema
 
-        self._node_defaults: _NodeDefaults = _NodeDefaults()
-
         self._add_schema(self.state_schema)
         self._add_schema(self.input_schema, allow_managed=False)
         self._add_schema(self.output_schema, allow_managed=False)
 
-    def set_node_defaults(
-        self,
-        *,
-        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
-        cache_policy: CachePolicy | None = None,
-        error_handler: StateNode[Any, ContextT] | None = None,
-        timeout: float | timedelta | TimeoutPolicy | None = None,
-    ) -> Self:
-        """Set default node policies that apply to every node in this graph.
-
-        Per-node values passed to `add_node` always take precedence over these
-        defaults. Defaults are applied at `compile()` time. Policies set here
-        are **not** inherited by subgraphs.
-
-        `retry_policy` and `timeout` defaults apply to **all** nodes,
-        including error-handler nodes. `cache_policy` and `error_handler`
-        defaults only apply to regular nodes -- caching error-handler results
-        is unsafe, and handlers must never catch themselves.
-
-        Args:
-            retry_policy: Default retry policy for nodes that don't specify
-                their own via `add_node(..., retry_policy=...)`. Also applies
-                to error-handler nodes.
-            cache_policy: Default cache policy for nodes that don't specify
-                their own via `add_node(..., cache_policy=...)`. Does **not**
-                apply to error-handler nodes.
-            error_handler: Default error handler invoked when any regular node
-                raises and does not have its own `error_handler` set via
-                `add_node`. The handler is **not** invoked when an
-                error-handler node itself raises -- handler failures fail the
-                run.
-            timeout: Default timeout policy for nodes that don't specify their
-                own via `add_node(..., timeout=...)`. Also applies to
-                error-handler nodes. Accepts a `TimeoutPolicy`, a number of
-                seconds (`float`), or a `timedelta`.
-
-        Returns:
-            Self: The builder instance, for chaining.
-
-        Example:
-            ```python
-            graph = (
-                StateGraph(State)
-                .set_node_defaults(
-                    retry_policy=RetryPolicy(max_attempts=3),
-                    error_handler=my_fallback_handler,
-                )
-                .add_node("a", node_a)
-                .add_node("b", node_b, retry_policy=custom_retry)  # overrides default
-                .add_edge(START, "a")
-                .compile()
-            )
-            ```
-        """
-        defaults = self._node_defaults
-        if retry_policy is not None:
-            defaults.retry_policy = retry_policy
-        if cache_policy is not None:
-            defaults.cache_policy = cache_policy
-        if error_handler is not None:
-            defaults.error_handler = error_handler
-        if timeout is not None:
-            defaults.timeout = coerce_timeout_policy(timeout)
-        return self
-
     @property
     def _all_edges(self) -> set[tuple[str, str]]:
         return self.edges | {
@@ -1271,63 +1193,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 key for key, val in self.channels.items() if not is_managed_value(val)
             ]
         )
-        # Apply builder defaults to node specs. Per-node values always win.
-        # Error-handler routing and cache_policy are only assigned to regular
-        # nodes. Retry and timeout defaults also apply to error-handler nodes.
-        defaults = self._node_defaults
-        default_handler_name: str | None = None
-        if defaults.error_handler is not None:
-            if _DEFAULT_ERROR_HANDLER_NODE in self.nodes:
-                raise ValueError(
-                    f"Auto-generated default error handler node "
-                    f"`{_DEFAULT_ERROR_HANDLER_NODE}` already exists."
-                )
-            default_handler_name = _DEFAULT_ERROR_HANDLER_NODE
-            self.nodes[default_handler_name] = StateNodeSpec[Any, ContextT](
-                coerce_to_runnable(
-                    defaults.error_handler,  # type: ignore[arg-type]
-                    name=default_handler_name,
-                    trace=False,
-                ),
-                metadata=None,
-                input_schema=self.state_schema,
-                retry_policy=None,
-                cache_policy=None,
-                is_error_handler=True,
-            )
-
-        # Apply builder defaults to node specs. Per-node values always win.
-        for spec in self.nodes.values():
-            # error_handler: regular nodes only — handlers must never
-            # catch themselves or other handlers.
-            if (
-                not spec.is_error_handler
-                and default_handler_name is not None
-                and spec.error_handler_node is None
-            ):
-                spec.error_handler_node = default_handler_name
-            # retry: all nodes — handlers should be retried on transient
-            # failures just like regular nodes.
-            if defaults.retry_policy is not None and spec.retry_policy is None:
-                spec.retry_policy = defaults.retry_policy
-            # cache: regular nodes only — caching an error-handler result
-            # is unsafe because the input (failed-node state) may differ
-            # across failures even when the cache key matches.
-            if (
-                not spec.is_error_handler
-                and defaults.cache_policy is not None
-                and spec.cache_policy is None
-            ):
-                spec.cache_policy = defaults.cache_policy
-            # timeout: all nodes — a stuck handler should be cancelled the
-            # same way a stuck regular node would be.
-            if defaults.timeout is not None and spec.timeout is None:
-                spec.timeout = defaults.timeout
-
         node_error_handler_map = {
             node_name: spec.error_handler_node
             for node_name, spec in self.nodes.items()
-            if not spec.is_error_handler and spec.error_handler_node is not None
+            if spec.error_handler_node is not None
         }
 
         compiled = CompiledStateGraph[StateT, ContextT, InputT, OutputT](

libs/langgraph/langgraph/pregel/_checkpoint.py

@@ -8,11 +8,11 @@ from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
     BaseCheckpointSaver,
     Checkpoint,
+    CheckpointMetadata,
 )
 from langgraph.checkpoint.base.id import uuid6
 from langgraph.checkpoint.serde.types import _DeltaSnapshot
 
-from langgraph._internal._config import DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
 from langgraph._internal._typing import MISSING
 from langgraph.channels.base import BaseChannel
 from langgraph.channels.delta import DeltaChannel
@@ -36,26 +36,21 @@ def empty_checkpoint() -> Checkpoint:
 
 def delta_channels_to_snapshot(
     channels: Mapping[str, BaseChannel],
-    counters_since_delta_snapshot: Mapping[str, tuple[int, int]],
+    counts: Mapping[str, int],
 ) -> set[str]:
     """Return the set of DeltaChannel names that should snapshot now.
 
-    A channel snapshots when EITHER its accumulated update count reaches
-    `snapshot_frequency` OR the total supersteps since its last snapshot
-    reaches `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`. This is a pure
+    A channel snapshots when its accumulated update count (since the last
+    snapshot) reaches or exceeds `snapshot_frequency`. This is a pure
     predicate — no mutation.
     """
-    result: set[str] = set()
-    for name, ch in channels.items():
-        if not isinstance(ch, DeltaChannel) or not ch.is_available():
-            continue
-        updates, supersteps = counters_since_delta_snapshot.get(name, (0, 0))
-        if (
-            updates >= ch.snapshot_frequency
-            or supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
-        ):
-            result.add(name)
-    return result
+    return {
+        name
+        for name, ch in channels.items()
+        if isinstance(ch, DeltaChannel)
+        and ch.is_available()
+        and counts.get(name, 0) >= ch.snapshot_frequency
+    }
 
 
 def create_checkpoint(
@@ -74,7 +69,7 @@ def create_checkpoint(
     is written into `channel_values[k]`. Other delta channels are omitted
     from `channel_values` — the ancestor walk reconstructs their state
     from `checkpoint_writes`. Callers compute the set via
-    `delta_channels_to_snapshot(channels, counters)`; defaults to empty
+    `delta_channels_to_snapshot(channels, counts)`; defaults to empty
     (no snapshots) when not provided.
     """
     ts = datetime.now(timezone.utc).isoformat()
@@ -236,3 +231,17 @@ def copy_checkpoint(checkpoint: Checkpoint) -> Checkpoint:
         versions_seen={k: v.copy() for k, v in checkpoint["versions_seen"].items()},
         updated_channels=checkpoint.get("updated_channels", None),
     )
+
+
+def read_delta_updates_since_snapshot(
+    metadata: CheckpointMetadata | None,
+) -> dict[str, int]:
+    """Read the per-channel update counter from checkpoint metadata.
+
+    Returns an empty dict for missing/None metadata; the dict is
+    `total=False` on `CheckpointMetadata`, so absence means "no prior
+    delta-channel activity tracked."
+    """
+    if not metadata:
+        return {}
+    return dict(metadata.get("delta_updates_since_snapshot", {}) or {})

libs/langgraph/langgraph/pregel/_loop.py

@@ -115,7 +115,6 @@ from langgraph.pregel._io import (
     map_output_values,
     read_channels,
 )
-from langgraph.pregel._messages import ensure_message_ids
 from langgraph.pregel._read import PregelNode
 from langgraph.pregel._utils import get_new_channel_versions, is_xxh3_128_hexdigest
 from langgraph.pregel.debug import (
@@ -204,12 +203,6 @@ class PregelLoop:
     # `__enter__`; stays `None` only when no checkpointer.
     _delta_write_futs: list[Any] | None = None
 
-    # Same pattern as `_delta_write_futs` but for error-handler writes.
-    # When `put_writes` persists an ERROR_SOURCE_NODE marker, the future is
-    # appended here.  `schedule_error_handler` / `aschedule_error_handler`
-    # drain this list so the write is durable before the handler starts.
-    _error_handler_write_futs: list[Any] | None = None
-
     # Exit-mode accumulator: every delta-channel write produced during this
     # run (input writes from `_first` + per-superstep writes captured in
     # `after_tick`). At exit, `_put_exit_delta_writes` filters out channels
@@ -448,14 +441,6 @@ class PregelLoop:
 
         # save writes
         self.checkpoint_pending_writes.extend((task_id, c, v) for c, v in writes)
-        # Assign stable IDs to any id=None BaseMessages in DeltaChannel writes
-        # before the background thread serialises them. Without this, reducers
-        # that assign IDs inside apply_writes() race with serialisation and
-        # store id=None, causing get_state() replays to produce a different UUID
-        # on every call.
-        for c, v in writes_to_save:
-            if isinstance(self.specs.get(c), DeltaChannel):
-                ensure_message_ids(v)
         if self.durability != "exit" and self.checkpointer_put_writes is not None:
             config = patch_configurable(
                 self.checkpoint_config,
@@ -489,13 +474,6 @@ class PregelLoop:
                 isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
             ):
                 self._delta_write_futs.append(fut)
-            # ERROR_SOURCE_NODE is only appended by commit() when the task
-            # has an error handler (_should_route_to_error_handler), so this
-            # check naturally limits future collection to those tasks.
-            if self._error_handler_write_futs is not None and any(
-                c == ERROR_SOURCE_NODE for c, _ in writes
-            ):
-                self._error_handler_write_futs.append(fut)
         # output writes
         if hasattr(self, "tasks"):
             self.output_writes(task_id, writes)
@@ -575,7 +553,7 @@ class PregelLoop:
             self.tasks[pushed.id] = pushed
             # match any pending writes to the new task
             if not self.is_replaying:
-                self._reapply_writes_to_succeeded_nodes({pushed.id: pushed})
+                self._match_writes({pushed.id: pushed})
             # return the new task, to be started if not run before
             return pushed
 
@@ -653,8 +631,7 @@ class PregelLoop:
 
         # if there are pending writes from a previous loop, apply them
         if not self.is_replaying and self.checkpoint_pending_writes:
-            self._reapply_writes_to_succeeded_nodes(self.tasks)
-            self._resume_error_handlers_if_applicable()
+            self._match_writes(self.tasks)
 
         # before execution, check if we should interrupt
         if self.interrupt_before and should_interrupt(
@@ -721,88 +698,13 @@ class PregelLoop:
 
     # private
 
-    def _reapply_writes_to_succeeded_nodes(
-        self, tasks: Mapping[str, PregelExecutableTask]
-    ) -> None:
-        """Restore successful channel writes from checkpoint to in-memory tasks.
-
-        Skips control signals (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME)
-        so that failed/interrupted tasks remain with empty writes and will be
-        re-executed (or routed to error handlers) by the runner.
-        """
+    def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
         for tid, k, v in self.checkpoint_pending_writes:
             if k in (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME):
                 continue
             if task := tasks.get(tid):
                 task.writes.append((k, v))
 
-    def _resume_error_handlers_if_applicable(self) -> None:
-        """On resume, schedule error handlers for tasks that failed in a prior run.
-
-        Called right after ``_reapply_writes_to_succeeded_nodes`` during ``tick()``.
-        At that point, ``_reapply_writes_to_succeeded_nodes`` has already skipped
-        ERROR / ERROR_SOURCE_NODE writes, so a previously-failed task still has
-        empty ``writes``.  Without intervention the runner (which executes only
-        tasks where ``not t.writes``) would re-run the original node.
-
-        This method prevents that re-execution for nodes that have an error
-        handler:
-
-        1. Scan ``checkpoint_pending_writes`` for ERROR_SOURCE_NODE markers
-           persisted by a prior ``commit()``.  Each marker means "this task
-           already failed and was routed to an error handler".
-        2. For each such task, write ``(ERROR, error)`` into ``task.writes``
-           so the task is no longer empty — the runner will skip it.
-        3. Prepare a fresh error-handler task and add it to ``self.tasks``.
-           Because the handler task starts with empty ``writes``, the runner
-           will pick it up and execute it.
-        """
-        # Phase 1: collect task-ids that have ERROR_SOURCE_NODE + ERROR pairs.
-        failed: dict[str, BaseException] = {}
-        for tid, chan, val in self.checkpoint_pending_writes:
-            if chan == ERROR_SOURCE_NODE:
-                error = next(
-                    (
-                        v
-                        for t, c, v in self.checkpoint_pending_writes
-                        if t == tid and c == ERROR
-                    ),
-                    None,
-                )
-                if error is not None:
-                    failed[tid] = error
-        # Phase 2: mark originals as done, schedule handler tasks.
-        for task_id, error in failed.items():
-            task = self.tasks.get(task_id)
-            if task is None:
-                continue
-            handler_node = self.nodes[task.name].error_handler_node
-            if not handler_node:
-                continue
-            # Non-empty writes → runner's `not t.writes` filter skips this task.
-            task.writes.append((ERROR, error))
-            # The handler task starts with empty writes → runner will execute it.
-            handler_task = prepare_node_error_handler_task(
-                task,
-                handler_node_name=handler_node,
-                failed_error=error,
-                checkpoint=self.checkpoint,
-                pending_writes=self.checkpoint_pending_writes,
-                processes=self.nodes,
-                channels=self.channels,
-                managed=self.managed,
-                config=task.config,
-                step=self.step,
-                stop=self.stop,
-                store=self.store,
-                checkpointer=self.checkpointer,
-                manager=self.manager,
-                retry_policy=self.retry_policy,
-                cache_policy=self.cache_policy,
-            )
-            if handler_task is not None:
-                self.tasks[handler_task.id] = handler_task
-
     def _pending_interrupts(self) -> set[str]:
         """Return the set of interrupt ids that are pending without corresponding resume values."""
         # mapping of task ids to interrupt ids
@@ -1076,41 +978,35 @@ class PregelLoop:
         if exiting and self.checkpoint["id"] == self.checkpoint_id_saved:
             # checkpoint already saved
             return
-        # Per-delta-channel counter bookkeeping.
-        #
-        # Each delta channel tracks a (updates, supersteps) tuple:
-        # - `updates` increments only when the channel is written this step.
-        # - `supersteps` increments every superstep regardless.
+        # Per-delta-channel update bookkeeping.
         #
         # `_put_checkpoint` is called once per superstep with a fresh
         # metadata dict (source="input"|"loop"|"fork") — those are the
-        # intermediate calls that bump counters. In exit mode,
+        # intermediate calls that bump the count by +1 for each delta
+        # channel touched that step. In exit mode,
         # `_suppress_interrupt`(will rename to _on_loop_exit soon)
         # additionally calls `_put_checkpoint(self.checkpoint_metadata)` AT
         # EXIT to commit the final checkpoint — this runs *after* the last
         # intermediate call already counted the last superstep. So the
         # exit call must NOT bump again or it would double-count the last
-        # superstep.
+        # superstep. (Sync/async durability does not call `_put_checkpoint`
+        # at exit, so the issue only surfaces in exit mode. force_delta_snapshot
+        # used to mask this latent bug by resetting every count to 0.)
         if not exiting:
-            prev_counters = dict(
-                self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
+            prev_counts = dict(
+                self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
             )
-            new_counters: dict[str, tuple[int, int]] = {}
-            updated = self.updated_channels or set()
-            for ch_name, ch in self.channels.items():
-                if not isinstance(ch, DeltaChannel):
-                    continue
-                u, s = prev_counters.get(ch_name, (0, 0))
-                s += 1
-                if ch_name in updated:
-                    u += 1
-                new_counters[ch_name] = (u, s)
+            new_counts = dict(prev_counts)
+            if self.updated_channels:
+                for ch_name in self.updated_channels:
+                    if isinstance(self.channels.get(ch_name), DeltaChannel):
+                        new_counts[ch_name] = new_counts.get(ch_name, 0) + 1
             metadata["step"] = self.step
             metadata["parents"] = self.config[CONF].get(CONFIG_KEY_CHECKPOINT_MAP, {})
             self.checkpoint_metadata = metadata
         else:
-            new_counters = dict(
-                self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
+            new_counts = dict(
+                self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
             )
         # do checkpoint?
         do_checkpoint = self._checkpointer_put_after_previous is not None and (
@@ -1118,7 +1014,7 @@ class PregelLoop:
         )
         # create new checkpoint
         channels_to_snapshot = (
-            delta_channels_to_snapshot(self.channels, new_counters)
+            delta_channels_to_snapshot(self.channels, new_counts)
             if do_checkpoint
             else set()
         )
@@ -1134,12 +1030,11 @@ class PregelLoop:
             channels_to_snapshot=channels_to_snapshot,
         )
         for k in channels_to_snapshot:
-            new_counters[k] = (0, 0)
-        non_zero = {k: v for k, v in new_counters.items() if v != (0, 0)}
-        if non_zero:
-            self.checkpoint_metadata["counters_since_delta_snapshot"] = non_zero
-        elif "counters_since_delta_snapshot" in self.checkpoint_metadata:
-            del self.checkpoint_metadata["counters_since_delta_snapshot"]
+            new_counts[k] = 0
+        if new_counts:
+            self.checkpoint_metadata["delta_updates_since_snapshot"] = new_counts
+        elif "delta_updates_since_snapshot" in self.checkpoint_metadata:
+            del self.checkpoint_metadata["delta_updates_since_snapshot"]
         # sanitize TASK channel in the checkpoint before saving (durability=="exit")
         if TASKS in self.checkpoint["channel_values"] and any(
             isinstance(channel, UntrackedValue) for channel in self.channels.values()
@@ -1214,10 +1109,8 @@ class PregelLoop:
         ):
             return
 
-        counters = dict(
-            self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
-        )
-        channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
+        counts = self.checkpoint_metadata.get("delta_updates_since_snapshot", {}) or {}
+        channels_to_snapshot = delta_channels_to_snapshot(self.channels, counts)
 
         pending = [
             (step, tid, ch, v)
@@ -1552,10 +1445,12 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
         handler_node = self.nodes[failed_task.name].error_handler_node
         if not handler_node:
             return None
-        # ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
-        if self._error_handler_write_futs:
-            futs, self._error_handler_write_futs = self._error_handler_write_futs, []
-            concurrent.futures.wait(futs)
+        writes = list(failed_task.writes)
+        writes.append((ERROR_SOURCE_NODE, failed_task.name))
+        self.put_writes(
+            failed_task.id,
+            writes,
+        )
         handler_task = prepare_node_error_handler_task(
             failed_task,
             handler_node_name=handler_node,
@@ -1578,7 +1473,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             return None
         self.tasks[handler_task.id] = handler_task
         if not self.is_replaying:
-            self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
+            self._match_writes({handler_task.id: handler_task})
         for task in self.match_cached_writes():
             self.output_writes(task.id, task.writes, cached=True)
         return handler_task
@@ -1660,7 +1555,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             else []
         )
         self._delta_write_futs = []
-        self._error_handler_write_futs = []
         self._exit_delta_writes = (
             [] if self.durability == "exit" and self.checkpointer is not None else None
         )
@@ -1806,10 +1700,12 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
         handler_node = self.nodes[failed_task.name].error_handler_node
         if not handler_node:
             return None
-        # ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
-        if self._error_handler_write_futs:
-            futs, self._error_handler_write_futs = self._error_handler_write_futs, []
-            await asyncio.gather(*futs)
+        writes = list(failed_task.writes)
+        writes.append((ERROR_SOURCE_NODE, failed_task.name))
+        self.put_writes(
+            failed_task.id,
+            writes,
+        )
         handler_task = prepare_node_error_handler_task(
             failed_task,
             handler_node_name=handler_node,
@@ -1832,7 +1728,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             return None
         self.tasks[handler_task.id] = handler_task
         if not self.is_replaying:
-            self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
+            self._match_writes({handler_task.id: handler_task})
         for task in await self.amatch_cached_writes():
             self.output_writes(task.id, task.writes, cached=True)
         return handler_task
@@ -1917,7 +1813,6 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             else []
         )
         self._delta_write_futs = []
-        self._error_handler_write_futs = []
         self._exit_delta_writes = (
             [] if self.durability == "exit" and self.checkpointer is not None else None
         )

libs/langgraph/langgraph/pregel/_messages.py

@@ -10,12 +10,10 @@ from typing import (
 from uuid import UUID, uuid4
 
 from langchain_core.callbacks import BaseCallbackHandler
-from langchain_core.messages import BaseMessage, ToolMessage
-from langchain_core.messages.utils import convert_to_messages
+from langchain_core.messages import BaseMessage
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
 from pydantic import BaseModel
 
-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
@@ -144,8 +142,9 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
             ]
             if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
                 return
-            if (filtered_tags := filter_to_user_tags(tags)) is not None:
-                metadata["tags"] = filtered_tags
+            if tags:
+                if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
+                    metadata["tags"] = filtered_tags
             self.metadata[run_id] = (ns, metadata)
 
     def on_llm_new_token(
@@ -304,35 +303,6 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
         super().__init__(stream, subgraphs, parent_ns=parent_ns)
         self._streamed_run_ids: set[UUID] = set()
 
-    def _find_and_emit_messages(self, meta: Meta, response: Any) -> None:
-        """Like the v1 handler, but skip ToolMessage from node outputs.
-
-        Tool results belong on the tools channel / state in v3; v2-flagged streams
-        must not replay finalized ToolMessages as chat tokens (see MessagesTransformer).
-        Legacy v1-only `stream_mode="messages"` still emits ToolMessages (see subgraph
-        streaming tests).
-        """
-        if isinstance(response, BaseMessage) and not isinstance(response, ToolMessage):
-            self._emit(meta, response, dedupe=True)
-        elif isinstance(response, Sequence):
-            for value in response:
-                if isinstance(value, BaseMessage) and not isinstance(
-                    value, ToolMessage
-                ):
-                    self._emit(meta, value, dedupe=True)
-        else:
-            for value in _state_values(response):
-                if isinstance(value, BaseMessage) and not isinstance(
-                    value, ToolMessage
-                ):
-                    self._emit(meta, value, dedupe=True)
-                elif isinstance(value, Sequence):
-                    for item in value:
-                        if isinstance(item, BaseMessage) and not isinstance(
-                            item, ToolMessage
-                        ):
-                            self._emit(meta, item, dedupe=True)
-
     def on_llm_end(
         self,
         response: LLMResult,
@@ -406,56 +376,3 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
                     self.seen.add(msg_id)
             v2_meta = {**meta[1], "run_id": str(run_id)}
             self.stream((meta[0], "messages", (event, v2_meta)))
-
-
-# Known role values (OpenAI-style) and type values (LangChain serialisation)
-# that identify a dict as a message. Checked before coercing to BaseMessage so
-# we don't accidentally touch unrelated dicts that happen to have a "role" key.
-_MESSAGE_ROLES: frozenset[str] = frozenset(
-    {"user", "human", "assistant", "ai", "tool", "system", "function"}
-)
-_MESSAGE_TYPES: frozenset[str] = frozenset(
-    {"human", "ai", "tool", "system", "function", "remove"}
-)
-
-
-def _is_message_dict(item: dict) -> bool:
-    return item.get("role") in _MESSAGE_ROLES or item.get("type") in _MESSAGE_TYPES
-
-
-def ensure_message_ids(value: Any) -> None:
-    """Coerce message-like write values to typed BaseMessages with stable IDs.
-
-    Called in put_writes() before DeltaChannel writes are submitted to the
-    checkpointer. Without this the checkpoint may store raw dicts or id=None
-    BaseMessages; every get_state() replay then produces a different UUID and
-    the same message appears with a different ID in each LangSmith trace.
-
-    Handles three input shapes:
-    - BaseMessage objects: assign a UUID if id is None.
-    - Dicts with a known "role" (OpenAI-style) or "type" (LangChain format) at
-      the root level: stamp "id" into the dict in-place. The reducer's
-      convert_to_messages call will forward the id to the resulting BaseMessage.
-    - Lists of the above: apply the same logic to each element, replacing dict
-      items with coerced BaseMessages so the shared list reference seen by
-      checkpoint_pending_writes and the background thread both get typed messages.
-
-    Mutating synchronously here (before the background thread is submitted) is
-    safe: the serialised bytes always reflect the post-coercion state.
-    """
-    if isinstance(value, BaseMessage):
-        if value.id is None:
-            value.id = str(uuid4())
-    elif isinstance(value, dict) and _is_message_dict(value):
-        if not value.get("id"):
-            value["id"] = str(uuid4())
-    elif isinstance(value, list):
-        for i, item in enumerate(value):
-            if isinstance(item, BaseMessage):
-                if item.id is None:
-                    item.id = str(uuid4())
-            elif isinstance(item, dict) and _is_message_dict(item):
-                msg = convert_to_messages([item])[0]
-                if msg.id is None:
-                    msg.id = str(uuid4())
-                value[i] = msg

libs/langgraph/langgraph/pregel/_remote_run_stream.py

@@ -1,374 +0,0 @@
-# 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_sdk.stream.decoders import DataDecoder
-
-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 decodes each event's `params["data"]` through the
-    SDK's `DataDecoder` — the same decoder the SDK's own plain-payload projections
-    (`values` / `updates` / `checkpoints` / `tasks`) use, which yields the item
-    shape 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
-
-    def __iter__(self) -> Iterator[Any]:
-        # Sync lane: the sync adapter's SDK returns a sync iterator here.
-        decoder = DataDecoder(self._channel)
-        events = cast(Iterator[Any], self._sdk.subscribe([self._channel]))
-        for event in events:
-            yield from decoder.feed(event)
-
-    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.
-        decoder = DataDecoder(self._channel)
-        events = cast(AsyncIterator[Any], self._sdk.subscribe([self._channel]))
-        async for event in events:
-            for item in decoder.feed(event):
-                yield item
-
-
-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]]:
-        yield from self._sdk.interleave_projections(list(names))
-
-
-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.

libs/langgraph/langgraph/pregel/_retry.py

@@ -37,23 +37,13 @@ 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,
-    NodeCancelledError,
-    NodeTimeoutError,
-    ParentCommand,
-)
+from langgraph.errors import GraphBubbleUp, 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:
@@ -312,28 +302,6 @@ 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):
@@ -632,12 +600,6 @@ 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}'")
@@ -774,24 +736,6 @@ 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:

libs/langgraph/langgraph/pregel/_runner.py

@@ -31,7 +31,6 @@ from langgraph._internal._constants import (
     CONFIG_KEY_CALL,
     CONFIG_KEY_SCRATCHPAD,
     ERROR,
-    ERROR_SOURCE_NODE,
     INTERRUPT,
     NO_WRITES,
     RESUME,
@@ -598,7 +597,7 @@ class PregelRunner:
                 if self._should_route_to_error_handler(task) and not isinstance(
                     exception, GraphBubbleUp
                 ):
-                    task.writes.append((ERROR_SOURCE_NODE, task.name))
+                    # Mark early in commit path; loop-side routing may happen later.
                     self._handled_exception_ids.add(id(exception))
                 self.put_writes()(task.id, task.writes)  # type: ignore[misc]
         else:

libs/langgraph/langgraph/pregel/debug.py

@@ -6,13 +6,9 @@ from typing import Any
 from uuid import UUID
 
 from langchain_core.runnables import RunnableConfig
-from langgraph.checkpoint.base import (
-    EXCLUDED_METADATA_KEYS,
-    CheckpointMetadata,
-    PendingWrite,
-)
+from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite
 
-from langgraph._internal._config import filter_to_user_tags, patch_checkpoint_map
+from langgraph._internal._config import patch_checkpoint_map
 from langgraph._internal._constants import (
     CONF,
     CONFIG_KEY_CHECKPOINT_NS,
@@ -44,31 +40,12 @@ def map_debug_tasks(tasks: Iterable[PregelExecutableTask]) -> Iterator[TaskPaylo
         if task.config is not None and TAG_HIDDEN in task.config.get("tags", []):
             continue
 
-        payload: TaskPayload = {
+        yield {
             "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:

libs/langgraph/langgraph/pregel/main.py

@@ -2835,9 +2835,7 @@ class Pregel(
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
             # build server_info from metadata + parent runtime
-            parent_runtime = _coerce_parent_runtime(
-                config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
-            )
+            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             server_info = _build_server_info(config, parent_runtime)
 
             runtime = Runtime(
@@ -3278,9 +3276,7 @@ class Pregel(
                 config[CONF][CONFIG_KEY_DURABILITY] = durability_
 
             # build server_info from metadata + parent runtime
-            parent_runtime = _coerce_parent_runtime(
-                config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
-            )
+            parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
             server_info = _build_server_info(config, parent_runtime)
 
             runtime = Runtime(
@@ -4257,23 +4253,6 @@ def _resolve_parent_ns(
     return tuple(ns.split(NS_SEP))
 
 
-def _coerce_parent_runtime(value: Any) -> Runtime[Any]:
-    """Normalize the value stored under `CONFIG_KEY_RUNTIME` into a `Runtime`.
-
-    During a graph run this is always a `Runtime` the framework created and
-    published for child tasks to inherit. Layers outside the run (for example a
-    server's graph-factory path) may instead seed an object that only carries
-    `context`/`store`. Adopt its `context` so context set at the graph level
-    plumbs through (`merge` lets the run's own `context` take precedence when
-    one is provided). `store` is resolved separately (passed to the graph
-    directly), so it is not read off here. `merge` then combines this with the
-    run's own runtime, including the framework's `control`.
-    """
-    if isinstance(value, Runtime):
-        return value
-    return Runtime(context=getattr(value, "context", None))
-
-
 def _build_server_info(
     config: RunnableConfig, parent_runtime: Runtime[Any]
 ) -> ServerInfo | None:

libs/langgraph/langgraph/pregel/remote.py

@@ -55,10 +55,6 @@ 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,
@@ -84,8 +80,6 @@ _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."""
@@ -192,34 +186,6 @@ 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)
@@ -1030,104 +996,21 @@ 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", "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,
+        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,
         **kwargs: Any,
-    ) -> 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"),
-        )
+    ) -> AsyncIterator[dict[str, Any]]:
+        raise NotImplementedError
 
     @overload
     def invoke(

libs/langgraph/langgraph/stream/_mux.py

@@ -62,14 +62,6 @@ class StreamMux:
         `extensions`, `_native` keys are recorded in `native_keys`, and
         any StreamChannel instances are bound and (if named) wired.
 
-        Transformers with `StreamTransformer.before_builtins = True` are
-        registered ahead of the rest, preserving relative order within
-        each lane. This lets content-mutating transformers (PII
-        redaction, content filters, etc.) run before built-ins like
-        `MessagesTransformer` that eagerly snapshot text fields into
-        their projections. See `StreamTransformer.before_builtins` for
-        the contract and foot-guns.
-
         Args:
             transformers: Already-built transformer instances. Registered
                 only on this mux — they are NOT cloned into child
@@ -120,31 +112,14 @@ class StreamMux:
         self._pump_fn: Callable[[], bool] | None = None
         self._apump_fn: Callable[[], Awaitable[bool]] | None = None
 
-        # Factories run first (they propagate to child mini-muxes via
-        # `_make_child`), then any pre-built `transformers=` instances
-        # are registered as root-only — they aren't cloned for child
-        # scopes. Within each group, transformers with
-        # `before_builtins = True` are registered ahead of the rest so
-        # they observe (and may mutate) events before built-ins like
-        # `MessagesTransformer`. The order *within* each lane matches
-        # the supplied sequence.
-        pre: list[StreamTransformer] = []
-        rest: list[StreamTransformer] = []
+        # Factories run first (they propagate to child mini-muxes
+        # via `_make_child`), then any pre-built `transformers=`
+        # instances are registered as root-only — they aren't cloned
+        # for child scopes.
         if factories is not None:
             for factory in factories:
-                transformer = factory(scope)
-                (
-                    pre if getattr(transformer, "before_builtins", False) else rest
-                ).append(transformer)
-            for transformer in (*pre, *rest):
-                self._register(transformer)
-            pre.clear()
-            rest.clear()
+                self._register(factory(scope))
         for transformer in transformers or ():
-            (pre if getattr(transformer, "before_builtins", False) else rest).append(
-                transformer
-            )
-        for transformer in (*pre, *rest):
             self._register(transformer)
 
     def transformer_by_key(self, key: str) -> StreamTransformer | None:

libs/langgraph/langgraph/stream/_types.py

@@ -35,7 +35,7 @@ class ProtocolEvent(TypedDict):
     """
 
     type: Literal["event"]
-    event_id: NotRequired[str]  # snake_case to match the langchain-protocol wire field
+    eventId: NotRequired[str]
     seq: NotRequired[int]
     method: str  # StreamMode value: "values", "messages", "custom", etc.
     params: _ProtocolEventParams
@@ -91,28 +91,11 @@ class StreamTransformer(ABC):
             which modes a `stream_events(version="v3")` run requests from the graph.
             Empty tuple means the transformer consumes only synthetic
             events (or is purely passive).
-        before_builtins: Opt-in for transformers that must run *before*
-            built-in transformers like `MessagesTransformer` and
-            `ToolCallTransformer`. The mux partitions factories by this
-            flag at registration time: `before_builtins = True`
-            transformers are registered first, then everything else in
-            the order supplied. Within each lane, registration order is
-            preserved. This is the supported hook for content-mutating
-            transformers (PII redaction, profanity filters, etc.) whose
-            mutations must land before built-ins eagerly snapshot text
-            fields into their projections. **Foot-gun:** transformers
-            in this lane see `tasks` events before `LifecycleTransformer`
-            and `SubgraphTransformer` consume them — mutating
-            `event["params"]["namespace"]` or the data dict's
-            `id` / `result` / `error` / `interrupts` fields will desync
-            their bookkeeping. Observe freely; mutate only fields no
-            built-in reads (e.g. `delta.text` on `messages` events).
     """
 
     requires_async: ClassVar[bool] = False
     supports_sync: ClassVar[bool] = False
     required_stream_modes: ClassVar[tuple[str, ...]] = ()
-    before_builtins: ClassVar[bool] = False
 
     def __init__(self, scope: tuple[str, ...] = ()) -> None:
         """Initialize the transformer with its mux's scope.

libs/langgraph/langgraph/stream/transformers.py

@@ -8,8 +8,8 @@ from langchain_core.language_models.chat_model_stream import (
     AsyncChatModelStream,
     ChatModelStream,
 )
-from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
-from langchain_protocol.protocol import LifecycleCause, MessagesData
+from langchain_core.messages import AIMessageChunk, BaseMessage
+from langchain_protocol.protocol import MessagesData
 from typing_extensions import NotRequired, TypedDict
 
 from langgraph.errors import GraphDrained, GraphInterrupt
@@ -203,7 +203,6 @@ class MessagesTransformer(StreamTransformer):
         # Correlate protocol events back to a ChatModelStream by run_id
         # (attached to the event's metadata by StreamMessagesHandler).
         self._by_run: dict[str, ChatModelStream] = {}
-        self._ignored_runs: set[str] = set()
         self._pump_fn: Callable[[], bool] | None = None
         self._apump_fn: Callable[[], Awaitable[bool]] | None = None
         # Cached as a list once for cheap equality with the protocol
@@ -277,10 +276,8 @@ class MessagesTransformer(StreamTransformer):
             self._route_protocol_event(
                 cast("MessagesData", payload), run_id=run_id, node=node
             )
-        elif (
-            isinstance(payload, BaseMessage)
-            and not isinstance(payload, AIMessageChunk)
-            and not isinstance(payload, ToolMessage)
+        elif isinstance(payload, BaseMessage) and not isinstance(
+            payload, AIMessageChunk
         ):
             self._route_whole_message(payload, node=node)
         # Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
@@ -298,11 +295,6 @@ class MessagesTransformer(StreamTransformer):
     ) -> None:
         event_type = event.get("event")
         if event_type == "message-start":
-            # Tool results are exposed on the tools projection and state
-            # snapshots; run.messages is the chat-token projection.
-            if event.get("role") == "tool":
-                self._ignored_runs.add(run_id)
-                return
             message_id = event.get("message_id")
             stream = self._make_stream(
                 namespace=[],
@@ -312,9 +304,6 @@ class MessagesTransformer(StreamTransformer):
             self._by_run[run_id] = stream
             self._log.push(stream)
             stream.dispatch(event)
-        elif run_id in self._ignored_runs:
-            if event_type == "message-finish":
-                self._ignored_runs.discard(run_id)
         elif run_id in self._by_run:
             stream = self._by_run[run_id]
             stream.dispatch(event)
@@ -330,14 +319,12 @@ 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"]
@@ -366,7 +353,6 @@ class LifecyclePayload(TypedDict, total=False):
     namespace: list[str]
     graph_name: NotRequired[str]
     trigger_call_id: NotRequired[str]
-    cause: NotRequired[LifecycleCause]
     error: NotRequired[str]
 
 
@@ -407,23 +393,6 @@ 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] = {}
-        # `cause` for the current `_on_started` dispatch, set immediately before
-        # the call and read by overrides that surface it. Keeping `cause` off the
-        # `_on_started` signature means overrides predating it (e.g. deepagents'
-        # `SubagentTransformer`) don't break.
-        self._pending_cause: LifecycleCause | None = None
 
     # --- Template-method hooks (subclass overrides) ---
 
@@ -437,10 +406,7 @@ class _TasksLifecycleBase(StreamTransformer):
         graph_name: str | None,
         trigger_call_id: str | None,
     ) -> None:
-        """Fired once per discovered namespace (first observed task event).
-
-        The triggering `cause` (if any) is available as `self._pending_cause`.
-        """
+        """Fired once per discovered namespace (first observed task event)."""
         raise NotImplementedError
 
     def _on_terminal(
@@ -464,84 +430,18 @@ class _TasksLifecycleBase(StreamTransformer):
         if "result" in data:
             self._handle_task_result(ns, data)
         else:
-            self._record_identity(ns, data)
-            self._record_pending_tool_calls(data)
-            self._handle_task_start(ns, data)
+            self._handle_task_start(ns)
         # 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 _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:
+    def _handle_task_start(self, ns: tuple[str, ...]) -> None:
         if not self._should_track(ns) or ns in self._seen:
             return
         self._seen.add(ns)
-        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)}
-        # Deliver `cause` via instance state, not the call signature, so
-        # `_on_started` stays backward-compatible with overrides predating it.
-        self._pending_cause = cause
-        self._on_started(ns, graph_name, trigger_call_id)
+        graph_name, trigger_call_id = _parse_ns_segment(ns[-1])
+        self._on_started(ns, graph_name or None, trigger_call_id)
         if trigger_call_id is not None:
             self._open[ns] = trigger_call_id
 
@@ -650,9 +550,6 @@ class LifecycleTransformer(_TasksLifecycleBase):
         if graph_name:
             payload["graph_name"] = graph_name
         payload["trigger_call_id"] = trigger_call_id
-        cause = self._pending_cause
-        if cause is not None:
-            payload["cause"] = cause
         self._channel.push(payload)
 
     def _on_terminal(
@@ -723,9 +620,6 @@ class SubgraphTransformer(_TasksLifecycleBase):
         except RuntimeError:
             return
         handle_cls = AsyncSubgraphRunStream if child_mux.is_async else SubgraphRunStream
-        # The triggering `cause` (on `self._pending_cause`) is a wire/lifecycle
-        # concern carried on `LifecyclePayload`; the in-process subgraph
-        # navigation handle does not expose it.
         handle = handle_cls(
             mux=child_mux,
             path=ns,
@@ -830,12 +724,7 @@ class SubgraphTransformer(_TasksLifecycleBase):
                 for child_ns, status, error in self._pop_terminal_transitions(ns, data):
                     await self._aon_terminal(child_ns, status, error)
             else:
-                # 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)
+                self._handle_task_start(ns)
             keep = False
         else:
             keep = True

libs/langgraph/langgraph/types.py

@@ -150,16 +150,6 @@ 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):

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.2.4"
+version = "1.2.0a7"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -24,10 +24,10 @@ classifiers = [
     'Programming Language :: Python :: 3.13',
 ]
 dependencies = [
-    "langchain-core>=1.4.0,<2",
-    "langgraph-checkpoint>=4.1.0,<5.0.0",
-    "langgraph-sdk>=0.4.2,<0.5.0",
-    "langgraph-prebuilt>=1.1.0,<1.2.0",
+    "langchain-core>=1.4.0a2,<2",
+    "langgraph-checkpoint>=4.1.0a4,<5.0.0",
+    "langgraph-sdk>=0.3.0,<0.4.0",
+    "langgraph-prebuilt>=1.1.0a2,<1.2.0",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]

libs/langgraph/tests/test_config_async.py

@@ -1,8 +1,7 @@
 import pytest
-from langchain_core.callbacks import AsyncCallbackManager, BaseCallbackHandler
+from langchain_core.callbacks import AsyncCallbackManager
 
 from langgraph._internal._config import get_async_callback_manager_for_config
-from langgraph.graph import StateGraph
 
 pytestmark = pytest.mark.anyio
 
@@ -18,99 +17,3 @@ 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"

libs/langgraph/tests/test_delta_channel_exit_mode.py

@@ -160,8 +160,8 @@ async def test_exit_resumed_run_sub_freq() -> None:
 
 
 async def test_exit_count_parity_sync_vs_exit() -> None:
-    """Sync and exit durability produce the same update count in
-    counters_since_delta_snapshot after an equivalent run."""
+    """Sync and exit durability produce the same delta_updates_since_snapshot
+    after an equivalent run."""
     for durability in ("sync", "exit"):
         saver = InMemorySaver()
         graph = _build_graph(saver)
@@ -175,13 +175,9 @@ async def test_exit_count_parity_sync_vs_exit() -> None:
 
         head = saver.get_tuple(config)
         assert head is not None
-        counters = head.metadata.get("counters_since_delta_snapshot", {})
-        updates, supersteps = counters.get("messages", (0, 0))
-        assert updates == 2, (
-            f"durability={durability}: expected updates=2, got {updates}"
-        )
-        assert supersteps >= 2, (
-            f"durability={durability}: expected supersteps>=2, got {supersteps}"
+        counts = head.metadata.get("delta_updates_since_snapshot", {})
+        assert counts.get("messages") == 2, (
+            f"durability={durability}: expected count=2, got {counts}"
         )
 
 
@@ -200,9 +196,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
     )
     head = saver.get_tuple(config)
     assert head is not None
-    counters1 = head.metadata.get("counters_since_delta_snapshot", {})
-    updates1 = counters1.get("messages", (0, 0))[0]
-    assert updates1 == 2
+    count1 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
+    assert count1 == 2
 
     graph.invoke(
         {"messages": [HumanMessage(content="m2", id="h2")]},
@@ -211,9 +206,8 @@ async def test_exit_snapshot_fires_at_frequency() -> None:
     )
     head = saver.get_tuple(config)
     assert head is not None
-    counters2 = head.metadata.get("counters_since_delta_snapshot", {})
-    updates2 = counters2.get("messages", (0, 0))[0]
-    assert updates2 == 0, f"Expected reset to 0 after snapshot, got {updates2}"
+    count2 = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
+    assert count2 == 0, f"Expected reset to 0 after snapshot, got {count2}"
     assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
 
 
@@ -290,7 +284,7 @@ async def test_exit_multi_run_replay_chain() -> None:
 
 async def test_exit_metadata_round_trip() -> None:
     """K=5 consecutive exit runs with snapshot_frequency=5. Verify metadata
-    counters_since_delta_snapshot increments correctly across runs."""
+    delta_updates_since_snapshot increments correctly across runs."""
     freq = 5
     saver = InMemorySaver()
     graph = _build_graph(saver, freq=freq)
@@ -304,16 +298,15 @@ async def test_exit_metadata_round_trip() -> None:
         )
         head = saver.get_tuple(config)
         assert head is not None
-        counters = head.metadata.get("counters_since_delta_snapshot", {})
-        updates = counters.get("messages", (0, 0))[0]
+        count = head.metadata.get("delta_updates_since_snapshot", {}).get("messages", 0)
         cumulative = i * 2
         if cumulative >= freq:
-            assert updates == 0 or updates == cumulative % freq or updates < freq, (
-                f"After run {i}: updates={updates} should have reset or be partial"
+            assert count == 0 or count == cumulative % freq or count < freq, (
+                f"After run {i}: count={count} should have reset or be partial"
             )
         else:
-            assert updates == cumulative, (
-                f"After run {i}: expected {cumulative}, got {updates}"
+            assert count == cumulative, (
+                f"After run {i}: expected {cumulative}, got {count}"
             )
 
 

libs/langgraph/tests/test_delta_channel_id_stability.py

@@ -1,140 +0,0 @@
-"""ensure_message_ids() assigns stable UUIDs to id=None BaseMessages
-before DeltaChannel writes are serialised to the checkpoint.
-
-Without this, the checkpoint stores id=None and every get_state() replay
-produces a different UUID — the same HumanMessage appears with a different
-ID in each LangSmith trace / on every resumed invocation.
-"""
-
-from __future__ import annotations
-
-from typing import Annotated, Any
-
-import pytest
-from langchain_core.messages import AIMessage, AnyMessage, HumanMessage
-from langgraph.checkpoint.memory import InMemorySaver
-from typing_extensions import TypedDict
-
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, START, StateGraph
-
-pytestmark = pytest.mark.anyio
-
-
-def _append_reducer(
-    state: list[AnyMessage], writes: list[list[AnyMessage]]
-) -> list[AnyMessage]:
-    """Simple append — no ID assignment. IDs come from ensure_message_ids()."""
-    result = list(state)
-    for w in writes:
-        if isinstance(w, list):
-            result.extend(w)
-        else:
-            result.append(w)  # type: ignore[arg-type]
-    return result
-
-
-def _build_graph(checkpointer: Any) -> Any:
-    State = TypedDict(  # noqa: UP013
-        "State",
-        {
-            "messages": Annotated[
-                list, DeltaChannel(_append_reducer, snapshot_frequency=50)
-            ]
-        },
-    )  # type: ignore[call-overload]
-
-    def agent(state: dict) -> dict:
-        return {"messages": [AIMessage(content="reply", id="ai-1")]}
-
-    return (
-        StateGraph(State)
-        .add_node("agent", agent)
-        .add_edge(START, "agent")
-        .add_edge("agent", END)
-        .compile(checkpointer=checkpointer)
-    )
-
-
-def test_delta_channel_message_gets_id_and_stays_stable() -> None:
-    """Messages written with id=None must receive a stable UUID.
-
-    ensure_message_ids() is called in put_writes() before the background
-    thread serialises DeltaChannel writes. The checkpoint stores the
-    assigned UUID, so every get_state() replay sees the same ID.
-    """
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "id-stability"}}
-
-    graph.invoke({"messages": [HumanMessage(content="hello")]}, config)
-
-    ids = [
-        next(
-            m.id
-            for m in graph.get_state(config).values["messages"]
-            if isinstance(m, HumanMessage)
-        )
-        for _ in range(3)
-    ]
-
-    assert ids[0] is not None, "ensure_message_ids should have assigned a UUID"
-    assert len(set(ids)) == 1, (
-        f"HumanMessage id must be stable across get_state() calls; "
-        f"got {ids}. The checkpoint is storing id=None."
-    )
-
-
-async def test_delta_channel_message_gets_id_and_stays_stable_async() -> None:
-    """Same check via ainvoke (AsyncPregelLoop path)."""
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "id-stability-async"}}
-
-    await graph.ainvoke({"messages": [HumanMessage(content="hello")]}, config)
-
-    ids = [
-        next(
-            m.id
-            for m in (await graph.aget_state(config)).values["messages"]
-            if isinstance(m, HumanMessage)
-        )
-        for _ in range(3)
-    ]
-
-    assert ids[0] is not None, "ensure_message_ids should have assigned a UUID"
-    assert len(set(ids)) == 1, (
-        f"Async path: HumanMessage id unstable across aget_state() calls: {ids}"
-    )
-
-
-def test_delta_channel_dict_style_message_gets_stable_id() -> None:
-    """Dict-style inputs (API / over-the-wire format) must also get stable IDs.
-
-    When the graph is invoked via the LangGraph API the input arrives as a raw
-    dict {"role": "user", "content": "..."} rather than a BaseMessage object.
-    ensure_message_ids() must coerce those dicts to typed BaseMessages and
-    stamp a UUID so the checkpoint never stores an id-less message.
-    """
-    saver = InMemorySaver()
-    graph = _build_graph(saver)
-    config = {"configurable": {"thread_id": "dict-id-stability"}}
-
-    # Invoke with a raw dict (the format LangGraph API sends)
-    graph.invoke({"messages": [{"role": "user", "content": "hello"}]}, config)
-
-    ids = [
-        next(
-            m.id
-            for m in graph.get_state(config).values["messages"]
-            if isinstance(m, HumanMessage)
-        )
-        for _ in range(3)
-    ]
-
-    assert ids[0] is not None, (
-        "dict-style message should have been coerced and assigned a UUID"
-    )
-    assert len(set(ids)) == 1, (
-        f"dict-style HumanMessage id must be stable across get_state() calls; got {ids}"
-    )

libs/langgraph/tests/test_delta_channel_supersteps_bound.py

@@ -1,195 +0,0 @@
-"""Tests for the supersteps-since-last-snapshot bound on DeltaChannel.
-
-Validates that a delta channel which stops receiving writes is still
-force-snapshotted after DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT supersteps,
-preventing unbounded ancestor walks.
-"""
-
-from typing import Annotated, Any
-from unittest.mock import patch
-
-import pytest
-from langgraph.checkpoint.memory import InMemorySaver
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
-from typing_extensions import TypedDict
-
-from langgraph.channels.delta import DeltaChannel
-from langgraph.graph import END, START, StateGraph
-from langgraph.pregel._checkpoint import delta_channels_to_snapshot
-
-pytestmark = pytest.mark.anyio
-
-
-def _simple_reducer(current: list, updates: list) -> list:
-    """Flatten updates into current list (each update is itself a list)."""
-    result = list(current)
-    for u in updates:
-        if isinstance(u, list):
-            result.extend(u)
-        else:
-            result.append(u)
-    return result
-
-
-def _build_two_channel_graph(
-    checkpointer: InMemorySaver,
-    *,
-    freq_a: int = 10_000,
-    freq_b: int = 10_000,
-    n_loops: int = 1,
-) -> Any:
-    """Graph with two delta channels A and B.
-
-    The node only writes to channel A; B is never written by the node.
-    `n_loops` controls how many supersteps the graph runs (via chained nodes).
-    """
-    ch_a = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_a)
-    ch_b = DeltaChannel(_simple_reducer, list, snapshot_frequency=freq_b)
-    State = TypedDict(  # noqa: UP013
-        "State",
-        {"a": Annotated[list, ch_a], "b": Annotated[list, ch_b]},
-    )  # type: ignore[call-overload]
-
-    builder = StateGraph(State)
-
-    for i in range(n_loops):
-        name = f"step_{i}"
-
-        def node_fn(state: dict, _i: int = i) -> dict:
-            return {"a": [f"a-val-{_i}"]}
-
-        builder.add_node(name, node_fn)
-        if i == 0:
-            builder.add_edge(START, name)
-        else:
-            builder.add_edge(f"step_{i - 1}", name)
-        if i == n_loops - 1:
-            builder.add_edge(name, END)
-
-    return builder.compile(checkpointer=checkpointer)
-
-
-async def test_forced_snapshot_single_run() -> None:
-    """A single invoke with enough supersteps triggers snapshot on the
-    unwritten channel B via the supersteps bound."""
-    max_ss = 3
-    with patch(
-        "langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
-        max_ss,
-    ):
-        saver = InMemorySaver()
-        graph = _build_two_channel_graph(saver, n_loops=4)
-        config = {"configurable": {"thread_id": "single-run-ss"}}
-
-        graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
-
-        head = saver.get_tuple(config)
-        assert head is not None
-        assert isinstance(head.checkpoint["channel_values"].get("b"), _DeltaSnapshot), (
-            "Channel B should have been force-snapshotted via supersteps bound"
-        )
-
-        state = graph.get_state(config)
-        assert state.values["b"] == ["seed-b"]
-        assert "seed-a" in state.values["a"]
-
-
-async def test_forced_snapshot_accumulates_across_runs() -> None:
-    """Supersteps counter for an unwritten channel persists across separate
-    invoke() calls. After enough runs, the channel is force-snapshotted."""
-    max_ss = 5
-    with patch(
-        "langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
-        max_ss,
-    ):
-        saver = InMemorySaver()
-        graph = _build_two_channel_graph(saver, n_loops=1)
-        config = {"configurable": {"thread_id": "multi-run-ss"}}
-
-        graph.invoke({"a": ["init-a"], "b": ["init-b"]}, config)
-
-        for i in range(1, 6):
-            graph.invoke({"a": [f"run-{i}"]}, config)
-
-            head = saver.get_tuple(config)
-            assert head is not None
-            counters = head.metadata.get("counters_since_delta_snapshot", {})
-            b_counters = counters.get("b", (0, 0))
-
-            if b_counters == (0, 0):
-                assert isinstance(
-                    head.checkpoint["channel_values"].get("b"), _DeltaSnapshot
-                ), f"Run {i}: counter reset but no snapshot blob for B"
-                break
-        else:
-            pytest.fail("Channel B was never force-snapshotted after multiple runs")
-
-        state = graph.get_state(config)
-        assert state.values["b"] == ["init-b"]
-        assert "init-a" in state.values["a"]
-
-
-async def test_predicate_fires_on_supersteps_overflow() -> None:
-    """Unit test: delta_channels_to_snapshot fires when supersteps >= MAX
-    even when updates == 0."""
-    ch = DeltaChannel(_simple_reducer, list, snapshot_frequency=10_000)
-    ch.key = "x"
-    ch_instance = ch.from_checkpoint(None)
-
-    channels = {"x": ch_instance}
-    counters: dict[str, tuple[int, int]] = {"x": (0, 5000)}
-
-    result = delta_channels_to_snapshot(channels, counters)
-    assert "x" in result
-
-    counters_below: dict[str, tuple[int, int]] = {"x": (0, 4999)}
-    result2 = delta_channels_to_snapshot(channels, counters_below)
-    assert "x" not in result2
-
-
-async def test_counter_reset_after_supersteps_snapshot() -> None:
-    """After the supersteps bound triggers a snapshot, the counters for
-    that channel reset. Verify by using a bound higher than one run's
-    supersteps so we can see the counter in an intermediate state."""
-    max_ss = 15
-    with patch(
-        "langgraph.pregel._checkpoint.DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT",
-        max_ss,
-    ):
-        saver = InMemorySaver()
-        graph = _build_two_channel_graph(saver, n_loops=4)
-        config = {"configurable": {"thread_id": "counter-reset"}}
-
-        graph.invoke({"a": ["seed-a"], "b": ["seed-b"]}, config)
-
-        head = saver.get_tuple(config)
-        assert head is not None
-        counters = head.metadata.get("counters_since_delta_snapshot", {})
-        b_counters = counters.get("b", (0, 0))
-        run1_supersteps = b_counters[1]
-        assert run1_supersteps > 0, "Should have some supersteps"
-        assert b_counters[0] == 1, "B written once (input step)"
-
-        graph.invoke({"a": ["more-a"]}, config)
-        head2 = saver.get_tuple(config)
-        assert head2 is not None
-        counters2 = head2.metadata.get("counters_since_delta_snapshot", {})
-        b_counters2 = counters2.get("b", (0, 0))
-        run2_supersteps = b_counters2[1]
-        assert run2_supersteps > run1_supersteps, "Supersteps should accumulate"
-        assert b_counters2[0] == 1, "B written once total (only original input)"
-
-        graph.invoke({"a": ["even-more"]}, config)
-        head3 = saver.get_tuple(config)
-        assert head3 is not None
-        assert isinstance(
-            head3.checkpoint["channel_values"].get("b"), _DeltaSnapshot
-        ), "B should have snapshotted at supersteps >= max_ss"
-        counters3 = head3.metadata.get("counters_since_delta_snapshot", {})
-        b_counters3 = counters3.get("b", (0, 0))
-        assert b_counters3[1] < max_ss, (
-            f"After snapshot, supersteps should have reset, got {b_counters3}"
-        )
-
-        state = graph.get_state(config)
-        assert state.values["b"] == ["seed-b"]

libs/langgraph/tests/test_pregel_debug.py

@@ -1,185 +0,0 @@
-"""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"]}

libs/langgraph/tests/test_remote_graph_v3.py

@@ -1,658 +0,0 @@
-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()
-    # Real wire events carry `method`; the SDK `DataDecoder` yields matching
-    # events' `params.data` and skips dataless and off-channel ones.
-    sdk.subscribe = MagicMock(
-        return_value=iter(
-            [
-                {"method": "checkpoints", "params": {"data": {"n": 1}}},
-                {"method": "checkpoints", "params": {}},  # no data -> skipped
-                {"method": "checkpoints", "params": {"data": {"n": 2}}},
-                {"method": "lifecycle", "params": {"data": {"n": 3}}},  # other channel
-            ]
-        )
-    )
-    proj = _ChannelProjection(sdk, "checkpoints")
-    assert list(proj) == [{"n": 1}, {"n": 2}]
-    sdk.subscribe.assert_called_once_with(["checkpoints"])
-
-
-@pytest.mark.anyio
-async def test_channel_projection_decodes_params_data_async():
-    """Async lane mirrors the sync lane: `async for` over the SDK's async
-    subscription, decoded through the same `DataDecoder`."""
-
-    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 = MagicMock()
-    sdk.subscribe = MagicMock(
-        return_value=_FakeAsyncEvents(
-            [
-                {"method": "checkpoints", "params": {"data": {"n": 1}}},
-                {"method": "checkpoints", "params": {}},  # no data -> skipped
-                {"method": "checkpoints", "params": {"data": {"n": 2}}},
-                {"method": "lifecycle", "params": {"data": {"n": 3}}},  # other channel
-            ]
-        )
-    )
-    proj = _ChannelProjection(sdk, "checkpoints")
-    assert [item async for item in 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_delegates_to_interleave_projections():
-    adapter, _, sdk_thread = _make_sync_adapter()
-    pairs = [("values", {"x": 1}), ("messages", object())]
-    sdk_thread.interleave_projections.return_value = pairs
-    with adapter as stream:
-        result = list(stream.interleave("values", "messages"))
-    assert result == pairs
-    sdk_thread.interleave_projections.assert_called_once_with(["values", "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")

libs/langgraph/tests/test_retry.py

@@ -1,5 +1,4 @@
 import asyncio
-import contextlib
 import operator
 import sys
 import threading
@@ -16,7 +15,7 @@ from langchain_core.callbacks import AsyncCallbackManagerForLLMRun, BaseCallback
 from langchain_core.language_models.fake_chat_models import GenericFakeChatModel
 from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, HumanMessage
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, ChatResult
-from langchain_core.runnables import RunnableConfig, RunnableLambda, RunnableParallel
+from langchain_core.runnables import RunnableLambda, RunnableParallel
 from langgraph.checkpoint.memory import InMemorySaver, MemorySaver
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
 from typing_extensions import TypedDict
@@ -36,13 +35,7 @@ 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,
-    NodeCancelledError,
-    NodeError,
-    NodeTimeoutError,
-    ParentCommand,
-)
+from langgraph.errors import GraphInterrupt, NodeError, NodeTimeoutError, ParentCommand
 from langgraph.func import entrypoint, task
 from langgraph.graph import END, START, StateGraph, add_messages
 from langgraph.pregel import NodeBuilder, Pregel
@@ -70,18 +63,6 @@ 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."""
@@ -1693,28 +1674,15 @@ 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(idle_timeout_s), name="heartbeat"
-    )
+    task = _make_task(HeartbeatProc(), timeout=_idle_timeout(0.2), name="heartbeat")
     task.config[CONF][CONFIG_KEY_TIMED_ATTEMPT_OBSERVER] = events.append
     assert await arun_with_retry(task, retry_policy=None) == "ok"
 
@@ -1723,13 +1691,13 @@ 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` = 0.25s; with the task running for
-    # ~400ms we expect 1–2 progress events (well below the 9 heartbeats).
+    # 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).
     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 == idle_timeout_s
+        assert ev.context.idle_timeout_secs == 0.2
         assert isinstance(ev.progress_at, datetime)
 
 
@@ -2299,645 +2267,3 @@ def test_node_without_error_handler_still_fails_run():
 
     with pytest.raises(ValueError, match="no handler"):
         graph.invoke({"foo": ""})
-
-
-# ---------------------------------------------------------------------------
-# set_node_defaults()
-# ---------------------------------------------------------------------------
-
-
-def test_set_node_defaults_error_handler_catches_all_nodes():
-    class State(TypedDict):
-        route: str
-        foo: Annotated[list[str], operator.add]
-
-    def route_node(state: State) -> Command:
-        return Command(goto=state["route"])
-
-    def fail_a(state: State) -> State:
-        raise RuntimeError("a failed")
-
-    def fail_b(state: State) -> State:
-        raise RuntimeError("b failed")
-
-    captured: dict[str, list[str]] = {"nodes": []}
-
-    def default_handler(state: State, error: NodeError) -> State:
-        captured["nodes"].append(error.node)
-        return {"foo": [f"handled_{error.node}"]}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("route_node", route_node)
-        .add_node("fail_a", fail_a)
-        .add_node("fail_b", fail_b)
-        .add_edge(START, "route_node")
-        .add_conditional_edges(
-            "route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
-        )
-        .compile()
-    )
-
-    result_a = graph.invoke({"route": "fail_a", "foo": []})
-    result_b = graph.invoke({"route": "fail_b", "foo": []})
-    assert result_a["foo"] == ["handled_fail_a"]
-    assert result_b["foo"] == ["handled_fail_b"]
-    assert "fail_a" in captured["nodes"]
-    assert "fail_b" in captured["nodes"]
-
-
-def test_set_node_defaults_error_handler_overridden_by_node_handler():
-    class State(TypedDict):
-        route: str
-        foo: Annotated[list[str], operator.add]
-
-    def route_node(state: State) -> Command:
-        return Command(goto=state["route"])
-
-    def fail_a(state: State) -> State:
-        raise RuntimeError("a failed")
-
-    def fail_b(state: State) -> State:
-        raise RuntimeError("b failed")
-
-    captured: dict[str, list[str]] = {"handler": []}
-
-    def node_handler(state: State, error: NodeError) -> State:
-        captured["handler"].append(f"node:{error.node}")
-        return {"foo": [f"node_handled_{error.node}"]}
-
-    def default_handler(state: State, error: NodeError) -> State:
-        captured["handler"].append(f"default:{error.node}")
-        return {"foo": [f"default_handled_{error.node}"]}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("route_node", route_node)
-        .add_node("fail_a", fail_a, error_handler=node_handler)
-        .add_node("fail_b", fail_b)
-        .add_edge(START, "route_node")
-        .add_conditional_edges(
-            "route_node", lambda s: s["route"], path_map=["fail_a", "fail_b"]
-        )
-        .compile()
-    )
-
-    result_a = graph.invoke({"route": "fail_a", "foo": []})
-    assert result_a["foo"] == ["node_handled_fail_a"]
-    assert "node:fail_a" in captured["handler"]
-    assert "default:fail_a" not in captured["handler"]
-
-    result_b = graph.invoke({"route": "fail_b", "foo": []})
-    assert result_b["foo"] == ["default_handled_fail_b"]
-    assert "default:fail_b" in captured["handler"]
-
-
-def test_set_node_defaults_error_handler_skips_per_node_handler_nodes():
-    """If a per-node error handler itself raises, the default handler must NOT
-    catch it -- the run should fail."""
-
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("node boom")
-
-    def broken_handler(state: State, error: NodeError) -> State:
-        raise RuntimeError("handler boom")
-
-    def default_handler(state: State, error: NodeError) -> State:
-        return {"foo": "default recovered"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("always_failing", always_failing, error_handler=broken_handler)
-        .add_edge(START, "always_failing")
-        .compile()
-    )
-
-    with pytest.raises(RuntimeError, match="handler boom"):
-        graph.invoke({"foo": ""})
-
-
-def test_set_node_defaults_error_handler_failure_fails_run():
-    """When the default handler itself raises, the run fails (no infinite
-    recursion, no double-routing)."""
-
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("node boom")
-
-    def broken_default_handler(state: State, error: NodeError) -> State:
-        raise RuntimeError("default handler boom")
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=broken_default_handler)
-        .add_node("always_failing", always_failing)
-        .add_edge(START, "always_failing")
-        .compile()
-    )
-
-    with pytest.raises(RuntimeError, match="default handler boom"):
-        graph.invoke({"foo": ""})
-
-
-def test_set_node_defaults_error_handler_receives_runnable_config():
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("boom")
-
-    captured: dict[str, Any] = {}
-
-    def default_handler(
-        state: State, error: NodeError, config: RunnableConfig
-    ) -> State:
-        captured["thread_id"] = config["configurable"].get("thread_id")
-        return {"foo": "handled"}
-
-    checkpointer = MemorySaver()
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("always_failing", always_failing)
-        .add_edge(START, "always_failing")
-        .compile(checkpointer=checkpointer)
-    )
-
-    thread_id = str(uuid4())
-    result = graph.invoke(
-        {"foo": ""}, config={"configurable": {"thread_id": thread_id}}
-    )
-    assert result["foo"] == "handled"
-    assert captured["thread_id"] == thread_id
-
-
-def test_set_node_defaults_error_handler_collides_with_user_node():
-    class State(TypedDict):
-        foo: str
-
-    def default_handler(state: State, error: NodeError) -> State:
-        return {"foo": "handled"}
-
-    builder = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=default_handler)
-        .add_node("__default_error_handler__", lambda s: s)
-        .add_edge(START, "__default_error_handler__")
-    )
-
-    with pytest.raises(ValueError, match="__default_error_handler__"):
-        builder.compile()
-
-
-def test_set_node_defaults_retry_policy():
-    class State(TypedDict):
-        foo: str
-
-    attempts = 0
-
-    def flaky_node(state: State) -> State:
-        nonlocal attempts
-        attempts += 1
-        if attempts < 3:
-            raise ValueError("not yet")
-        return {"foo": "ok"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=3, initial_interval=0.01, jitter=False, retry_on=ValueError
-            )
-        )
-        .add_node("flaky", flaky_node)
-        .add_edge(START, "flaky")
-        .compile()
-    )
-
-    with patch("time.sleep"):
-        result = graph.invoke({"foo": ""})
-
-    assert result["foo"] == "ok"
-    assert attempts == 3
-
-
-def test_set_node_defaults_retry_policy_per_node_wins():
-    class State(TypedDict):
-        foo: str
-
-    attempts = 0
-
-    def flaky_node(state: State) -> State:
-        nonlocal attempts
-        attempts += 1
-        if attempts < 2:
-            raise ValueError("not yet")
-        return {"foo": "ok"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=1, initial_interval=0.01, jitter=False, retry_on=ValueError
-            )
-        )
-        .add_node(
-            "flaky",
-            flaky_node,
-            retry_policy=RetryPolicy(
-                max_attempts=3,
-                initial_interval=0.01,
-                jitter=False,
-                retry_on=ValueError,
-            ),
-        )
-        .add_edge(START, "flaky")
-        .compile()
-    )
-
-    with patch("time.sleep"):
-        result = graph.invoke({"foo": ""})
-
-    assert result["foo"] == "ok"
-    assert attempts == 2
-
-
-@pytest.mark.anyio
-async def test_set_node_defaults_timeout():
-    class State(TypedDict):
-        foo: str
-
-    async def slow_node(state: State) -> State:
-        await asyncio.sleep(10)
-        return {"foo": "should-not-happen"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.05))
-        .add_node("slow", slow_node)
-        .add_edge(START, "slow")
-        .compile()
-    )
-
-    from langgraph.errors import NodeTimeoutError
-
-    with pytest.raises(NodeTimeoutError):
-        await graph.ainvoke({"foo": ""})
-
-
-@pytest.mark.anyio
-async def test_set_node_defaults_timeout_per_node_wins():
-    """Per-node timeout overrides the default; a generous per-node timeout
-    allows a node to complete even when the builder default is very short."""
-
-    class State(TypedDict):
-        foo: str
-
-    async def quick_node(state: State) -> State:
-        await asyncio.sleep(0.05)
-        return {"foo": "done"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(timeout=TimeoutPolicy(run_timeout=0.01))
-        .add_node("quick", quick_node, timeout=TimeoutPolicy(run_timeout=5.0))
-        .add_edge(START, "quick")
-        .compile()
-    )
-
-    result = await graph.ainvoke({"foo": ""})
-    assert result["foo"] == "done"
-
-
-def test_set_node_defaults_chaining():
-    """set_node_defaults() is chainable and can be called in any order relative to add_node."""
-
-    class State(TypedDict):
-        foo: str
-
-    def always_failing(state: State) -> State:
-        raise RuntimeError("boom")
-
-    def handler(state: State, error: NodeError) -> State:
-        return {"foo": "handled"}
-
-    graph = (
-        StateGraph(State)
-        .add_node("a", always_failing)
-        .add_edge(START, "a")
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=1, initial_interval=0.01, jitter=False
-            ),
-            error_handler=handler,
-        )
-        .compile()
-    )
-
-    result = graph.invoke({"foo": ""})
-    assert result["foo"] == "handled"
-
-
-def test_set_node_defaults_combined_retry_and_error_handler():
-    """Retries are exhausted first, then the error handler runs."""
-
-    class State(TypedDict):
-        foo: str
-
-    attempts = 0
-    captured: dict[str, Any] = {}
-
-    def always_failing(state: State) -> State:
-        nonlocal attempts
-        attempts += 1
-        raise ValueError("Always fails")
-
-    def handler(state: State, error: NodeError) -> State:
-        captured["error"] = str(error.error)
-        return {"foo": "handled"}
-
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(
-            retry_policy=RetryPolicy(
-                max_attempts=2,
-                initial_interval=0.01,
-                jitter=False,
-                retry_on=ValueError,
-            ),
-            error_handler=handler,
-        )
-        .add_node("fail", always_failing)
-        .add_edge(START, "fail")
-        .compile()
-    )
-
-    with patch("time.sleep"):
-        result = graph.invoke({"foo": ""})
-
-    assert result["foo"] == "handled"
-    assert attempts == 2
-    assert captured["error"] == "Always fails"
-
-
-def test_error_handler_resumes_after_crash():
-    """If the error handler crashes, resuming should re-schedule the handler
-    (not re-execute the original failed node)."""
-
-    class State(TypedDict):
-        foo: str
-
-    call_count = {"node": 0, "handler": 0}
-    captured_errors: list[NodeError] = []
-
-    def failing_node(state: State) -> State:
-        call_count["node"] += 1
-        raise RuntimeError("boom")
-
-    handler_should_fail = [True]
-
-    def handler(state: State, error: NodeError) -> State:
-        call_count["handler"] += 1
-        captured_errors.append(error)
-        if handler_should_fail[0]:
-            raise RuntimeError("handler crash")
-        return {"foo": "recovered"}
-
-    checkpointer = MemorySaver()
-    graph = (
-        StateGraph(State)
-        .set_node_defaults(error_handler=handler)
-        .add_node("fail", failing_node)
-        .add_edge(START, "fail")
-        .compile(checkpointer=checkpointer)
-    )
-
-    config = {"configurable": {"thread_id": "t1"}}
-
-    # First invoke: node fails -> handler runs -> handler crashes -> run fails
-    with pytest.raises(RuntimeError, match="handler crash"):
-        graph.invoke({"foo": ""}, config)
-
-    assert call_count["node"] == 1
-    assert call_count["handler"] == 1
-    assert captured_errors[0].node == "fail"
-    assert isinstance(captured_errors[0].error, RuntimeError)
-    assert str(captured_errors[0].error) == "boom"
-
-    # Resume: handler should run again, NOT the original node
-    handler_should_fail[0] = False
-    result = graph.invoke(None, config)
-
-    assert result["foo"] == "recovered"
-    assert call_count["node"] == 1  # NOT re-executed
-    assert call_count["handler"] == 2  # ran again on resume
-    # on resume the error was round-tripped through the checkpointer, so it
-    # may be deserialized as a string representation rather than the original
-    # exception type — verify the node name and that the error content matches.
-    assert captured_errors[1].node == "fail"
-    assert "boom" in str(captured_errors[1].error)
-
-
-def test_error_handler_resumes_after_crash_multiple_nodes():
-    """When multiple nodes fail in the same superstep and all have error handlers:
-    - error handlers start running while other nodes may still be in-flight
-    - resuming re-schedules each handler (not re-executes the original nodes)
-    """
-
-    class State(TypedDict):
-        results: Annotated[list[str], operator.add]
-
-    call_count = {"a": 0, "b": 0, "handler_a": 0, "handler_b": 0}
-    handler_a_started = threading.Event()
-
-    def node_a(state: State) -> State:
-        call_count["a"] += 1
-        raise RuntimeError("a failed")
-
-    def node_b(state: State) -> State:
-        call_count["b"] += 1
-        # Block until handler_a has started — proves the error handler runs
-        # concurrently with in-flight nodes in the same superstep.
-        assert handler_a_started.wait(timeout=5), "handler_a never started"
-        raise RuntimeError("b failed")
-
-    handler_should_fail = [True]
-
-    def handler_a(state: State, error: NodeError) -> State:
-        call_count["handler_a"] += 1
-        assert error.node == "a"
-        assert "a failed" in str(error.error)
-        handler_a_started.set()
-        if handler_should_fail[0]:
-            raise RuntimeError("handler_a crash")
-        return {"results": [f"recovered_a:{error.node}"]}
-
-    def handler_b(state: State, error: NodeError) -> State:
-        call_count["handler_b"] += 1
-        assert error.node == "b"
-        assert "b failed" in str(error.error)
-        if handler_should_fail[0]:
-            raise RuntimeError("handler_b crash")
-        return {"results": [f"recovered_b:{error.node}"]}
-
-    checkpointer = MemorySaver()
-    graph = (
-        StateGraph(State)
-        .add_node("a", node_a, error_handler=handler_a)
-        .add_node("b", node_b, error_handler=handler_b)
-        .add_edge(START, "a")
-        .add_edge(START, "b")
-        .compile(checkpointer=checkpointer)
-    )
-
-    config = {"configurable": {"thread_id": "t1"}}
-
-    # First invoke: node_a fails immediately -> handler_a starts (sets event) ->
-    # node_b unblocks and fails -> handler_b starts -> both handlers crash
-    with pytest.raises(RuntimeError):
-        graph.invoke({"results": []}, config)
-
-    assert call_count["a"] == 1
-    assert call_count["b"] == 1
-    assert call_count["handler_a"] == 1
-    assert call_count["handler_b"] == 1
-
-    # Resume: both handlers should run again, NOT the original nodes
-    handler_should_fail[0] = False
-    handler_a_started.clear()
-    result = graph.invoke(None, config)
-
-    assert call_count["a"] == 1  # NOT re-executed
-    assert call_count["b"] == 1  # NOT re-executed
-    assert call_count["handler_a"] == 2  # ran again on resume
-    assert call_count["handler_b"] == 2  # ran again on resume
-    assert "recovered_a:a" in result["results"]
-    assert "recovered_b:b" in result["results"]
-
-
-@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"

libs/langgraph/tests/test_runtime.py

@@ -1164,57 +1164,3 @@ def test_execution_info_inherited_by_subgraph() -> None:
     # task_id appears in its own namespace segment
     assert main_info.task_id in main_info.checkpoint_ns
     assert sub_info.task_id in sub_info.checkpoint_ns
-
-
-def test_foreign_object_in_runtime_slot_is_coerced() -> None:
-    """A non-`Runtime` under `CONFIG_KEY_RUNTIME` is adopted, not crashed on,
-    and the `context` it carries is plumbed through.
-
-    Layers outside a run (e.g. a server's graph-factory path, like LangGraph
-    API) seed an object carrying `context`/`store` into the runtime slot. The
-    run must still execute (regression for `AttributeError: '...' object has no
-    attribute 'control'`), and `context` set at that level must reach nodes via
-    `merge` when no per-run `context` is provided. `store` is resolved
-    separately, so it is not read off the foreign object in the coercion.
-    """
-    from langgraph.store.memory import InMemoryStore
-
-    from langgraph._internal._constants import CONFIG_KEY_RUNTIME
-
-    store = InMemoryStore()
-    graph_level_context = {"source": "graph-level"}
-
-    class _ServerLikeRuntime:
-        """Carries context/store but is not a `Runtime` (no control/merge)."""
-
-        def __init__(self) -> None:
-            self.context = graph_level_context
-            self.store = store
-
-    seen: dict[str, Any] = {}
-
-    class State(TypedDict, total=False):
-        text: str
-
-    def echo(state: State, runtime: Runtime) -> State:
-        seen["context"] = runtime.context
-        seen["store"] = runtime.store
-        return {"text": (state.get("text") or "") + " echoed"}
-
-    builder = StateGraph(State)
-    builder.add_node("echo", echo)
-    builder.add_edge(START, "echo")
-    builder.add_edge("echo", END)
-    graph = builder.compile()
-
-    # No per-run `context=`: the graph-level context on the slot must plumb through.
-    result = graph.invoke(
-        {"text": "hi"},
-        {"configurable": {CONFIG_KEY_RUNTIME: _ServerLikeRuntime()}},
-    )
-
-    assert result == {"text": "hi echoed"}
-    # context set at the graph level is plumbed through to the node via merge
-    assert seen["context"] == graph_level_context
-    # store still reaches the node (resolved separately, not via the coercion)
-    assert seen["store"] is store

libs/langgraph/tests/test_stream_before_builtins.py

@@ -1,296 +0,0 @@
-"""Tests for `StreamTransformer.before_builtins` lane ordering.
-
-`before_builtins = True` transformers are registered ahead of the
-rest, preserving relative order within each lane. This lets
-content-mutating transformers run before built-ins like
-`MessagesTransformer` that eagerly snapshot text fields into their
-projections.
-"""
-
-from __future__ import annotations
-
-import time
-from typing import Any, ClassVar
-
-from langgraph.stream._mux import StreamMux
-from langgraph.stream._types import StreamTransformer
-from langgraph.stream.stream_channel import StreamChannel
-from langgraph.stream.transformers import (
-    LifecycleTransformer,
-    MessagesTransformer,
-    TasksTransformer,
-)
-
-TS = int(time.time() * 1000)
-
-
-def _messages_event(namespace: list[str], data: Any) -> dict[str, Any]:
-    return {
-        "type": "event",
-        "method": "messages",
-        "params": {"namespace": namespace, "timestamp": TS, "data": data},
-    }
-
-
-class _Tap(StreamTransformer):
-    """Records the order it observed each event."""
-
-    required_stream_modes: ClassVar[tuple[str, ...]] = ()
-
-    def __init__(self, scope: tuple[str, ...] = (), *, label: str = "tap") -> None:
-        super().__init__(scope)
-        self.label = label
-        self.log: list[str] = []
-        self._channel: StreamChannel[str] = StreamChannel()
-
-    def init(self) -> dict[str, Any]:
-        return {f"tap_{self.label}": self._channel}
-
-    def process(self, event: dict[str, Any]) -> bool:
-        self.log.append(self.label)
-        return True
-
-
-class _PreTap(_Tap):
-    before_builtins: ClassVar[bool] = True
-
-
-class _TextRedactor(StreamTransformer):
-    """Mutates `text-delta` events in place to a fixed redacted string."""
-
-    before_builtins: ClassVar[bool] = True
-    required_stream_modes: ClassVar[tuple[str, ...]] = ("messages",)
-
-    def __init__(self, scope: tuple[str, ...] = ()) -> None:
-        super().__init__(scope)
-        self._channel: StreamChannel[str] = StreamChannel()
-
-    def init(self) -> dict[str, Any]:
-        return {"redactor": self._channel}
-
-    def process(self, event: dict[str, Any]) -> bool:
-        if event.get("method") != "messages":
-            return True
-        payload, _meta = event["params"]["data"]
-        if isinstance(payload, dict) and payload.get("event") == "content-block-delta":
-            delta = payload.get("delta") or {}
-            if delta.get("type") == "text-delta":
-                delta["text"] = "[REDACTED]"
-        return True
-
-
-def test_before_builtins_factories_run_before_others() -> None:
-    """A `before_builtins=True` factory is registered ahead of the rest."""
-
-    seen: list[type[StreamTransformer]] = []
-
-    class _PostTap(_Tap):
-        def __init__(self, scope: tuple[str, ...] = ()) -> None:
-            super().__init__(scope, label="post")
-
-        def process(self, event: dict[str, Any]) -> bool:
-            seen.append(_PostTap)
-            return True
-
-    class _EagerTap(_Tap):
-        before_builtins: ClassVar[bool] = True
-
-        def __init__(self, scope: tuple[str, ...] = ()) -> None:
-            super().__init__(scope, label="eager")
-
-        def process(self, event: dict[str, Any]) -> bool:
-            seen.append(_EagerTap)
-            return True
-
-    mux = StreamMux(
-        factories=[_PostTap, _EagerTap],
-        scope=(),
-        is_async=False,
-    )
-    # `_EagerTap` was supplied second but should be registered first.
-    types_in_order = [type(t) for t in mux._transformers]
-    assert types_in_order.index(_EagerTap) < types_in_order.index(_PostTap)
-
-    mux.push(
-        _messages_event([], ({"event": "message-start", "role": "ai", "id": "m1"}, {}))
-    )
-    # And it ran first when the event was dispatched.
-    assert seen == [_EagerTap, _PostTap]
-
-
-def test_within_lane_order_preserved() -> None:
-    """Within each lane, the supplied order is the registration order."""
-
-    class _A(_PreTap):
-        pass
-
-    class _B(_PreTap):
-        pass
-
-    class _C(_Tap):
-        pass
-
-    class _D(_Tap):
-        pass
-
-    mux = StreamMux(
-        factories=[
-            lambda scope: _C(scope, label="c"),
-            lambda scope: _A(scope, label="a"),
-            lambda scope: _D(scope, label="d"),
-            lambda scope: _B(scope, label="b"),
-        ],
-        scope=(),
-        is_async=False,
-    )
-    order = [t.label for t in mux._transformers]  # type: ignore[attr-defined]
-    # Pre lane (a, b) ahead of default lane (c, d). Within each, supplied order kept.
-    assert order == ["a", "b", "c", "d"]
-
-
-def test_redactor_runs_before_messages_transformer() -> None:
-    """Content mutated by a pre-lane transformer reaches `MessagesTransformer`."""
-
-    # Order supplied: built-ins first (as in pregel/main.py), then the
-    # opt-in pre-lane redactor. Partitioning should still register the
-    # redactor first.
-    mux = StreamMux(
-        factories=[MessagesTransformer, _TextRedactor],
-        scope=(),
-        is_async=False,
-    )
-    types_in_order = [type(t) for t in mux._transformers]
-    assert types_in_order.index(_TextRedactor) < types_in_order.index(
-        MessagesTransformer
-    )
-
-
-def test_lifecycle_unaffected_by_pre_lane_observer() -> None:
-    """An observer-only pre-lane transformer doesn't break lifecycle bookkeeping."""
-
-    class _NoopPreObserver(StreamTransformer):
-        before_builtins: ClassVar[bool] = True
-        required_stream_modes: ClassVar[tuple[str, ...]] = ("tasks",)
-
-        def __init__(self, scope: tuple[str, ...] = ()) -> None:
-            super().__init__(scope)
-            self._channel: StreamChannel[str] = StreamChannel()
-            self.seen: list[tuple[str, ...]] = []
-
-        def init(self) -> dict[str, Any]:
-            return {"noop_observer": self._channel}
-
-        def process(self, event: dict[str, Any]) -> bool:
-            if event.get("method") == "tasks":
-                self.seen.append(tuple(event["params"]["namespace"]))
-            return True
-
-    mux = StreamMux(
-        factories=[LifecycleTransformer, TasksTransformer, _NoopPreObserver],
-        scope=(),
-        is_async=False,
-    )
-    types_in_order = [type(t) for t in mux._transformers]
-    assert types_in_order.index(_NoopPreObserver) < types_in_order.index(
-        LifecycleTransformer
-    )
-
-    observer = next(t for t in mux._transformers if isinstance(t, _NoopPreObserver))
-    lifecycle = next(
-        t for t in mux._transformers if isinstance(t, LifecycleTransformer)
-    )
-
-    # Push a synthetic `tasks` event that lifecycle would normally track.
-    mux.push(
-        {
-            "type": "event",
-            "method": "tasks",
-            "params": {
-                "namespace": ["child:abc"],
-                "timestamp": TS,
-                "data": {"name": "child"},
-            },
-        }
-    )
-
-    # Pre-lane observer saw the event, AND lifecycle's bookkeeping still
-    # registered the new namespace (the observer didn't mutate anything).
-    assert observer.seen == [("child:abc",)]
-    assert ("child:abc",) in lifecycle._seen  # type: ignore[attr-defined]
-
-
-def test_default_is_false() -> None:
-    """`StreamTransformer.before_builtins` defaults to False."""
-
-    assert StreamTransformer.before_builtins is False
-    assert MessagesTransformer.before_builtins is False
-    assert LifecycleTransformer.before_builtins is False
-
-
-def test_pre_lane_mutation_lands_in_messages_projection() -> None:
-    """End-to-end: text mutated by a pre-lane transformer is what
-    `MessagesTransformer` snapshots into its `ChatModelStream` projection.
-
-    Without `before_builtins`, the redactor would run after
-    MessagesTransformer's eager extraction and the projection would
-    contain the raw, un-redacted text.
-    """
-
-    mux = StreamMux(
-        factories=[MessagesTransformer, _TextRedactor],
-        scope=(),
-        is_async=False,
-    )
-    messages_transformer = next(
-        t for t in mux._transformers if isinstance(t, MessagesTransformer)
-    )
-    # Unblock both the mux's main log and the messages projection log so
-    # synthetic pushes are accepted without a real consumer attached.
-    mux._events._subscribed = True
-    messages_transformer._log._subscribed = True
-
-    meta = {"langgraph_node": "model", "run_id": "run-1"}
-
-    # message-start → MessagesTransformer creates a ChatModelStream.
-    mux.push(
-        _messages_event(
-            [],
-            ({"event": "message-start", "role": "ai", "id": "msg-1"}, meta),
-        )
-    )
-
-    # content-block-delta carrying the secret. The redactor (pre-lane)
-    # mutates `delta.text` BEFORE MessagesTransformer snapshots it.
-    mux.push(
-        _messages_event(
-            [],
-            (
-                {
-                    "event": "content-block-delta",
-                    "index": 0,
-                    "delta": {"type": "text-delta", "text": "secret@example.com"},
-                },
-                meta,
-            ),
-        )
-    )
-
-    # Capture the still-open stream before message-finish removes it from
-    # MessagesTransformer's `_by_run` dict.
-    chat_stream = messages_transformer._by_run["run-1"]  # type: ignore[attr-defined]
-
-    # message-finish → closes the stream.
-    mux.push(
-        _messages_event(
-            [],
-            ({"event": "message-finish"}, meta),
-        )
-    )
-
-    # The redactor mutated `delta.text` to "[REDACTED]" before
-    # MessagesTransformer snapshotted the string into the text
-    # accumulator. Without `before_builtins`, the accumulator would hold
-    # the raw "secret@example.com".
-    assert chat_stream._text_acc == "[REDACTED]", (  # type: ignore[attr-defined]
-        f"expected redacted text in projection, got {chat_stream._text_acc!r}"
-    )

libs/langgraph/tests/test_stream_lifecycle_transformer.py

@@ -25,7 +25,6 @@ from langgraph.stream._mux import StreamMux
 from langgraph.stream.transformers import (
     LifecyclePayload,
     LifecycleTransformer,
-    _TasksLifecycleBase,
 )
 
 TS = int(time.time() * 1000)
@@ -36,25 +35,20 @@ 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": data,
+            "data": {
+                "id": task_id,
+                "name": name,
+                "input": None,
+                "triggers": [],
+            },
         },
     }
 
@@ -410,303 +404,3 @@ 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"}
-
-
-def test_on_started_override_without_cause_is_backward_compatible() -> None:
-    """An `_on_started` override with the original 3-arg signature must work.
-
-    `cause` is delivered via `self._pending_cause`, not the call signature, so
-    older/third-party subclasses (e.g. deepagents' `SubagentTransformer`) that
-    override `_on_started(self, ns, graph_name, trigger_call_id)` keep working —
-    no `TypeError: _on_started() got an unexpected keyword argument 'cause'`.
-    """
-    seen: list[tuple] = []
-
-    class _LegacyTransformer(_TasksLifecycleBase):
-        def init(self) -> dict[str, Any]:
-            return {}
-
-        def _should_track(self, ns: tuple[str, ...]) -> bool:
-            return len(ns) == 1  # direct child of the root scope
-
-        # Deliberately omits `cause` — mirrors a pre-`cause` override.
-        def _on_started(self, ns, graph_name, trigger_call_id) -> None:  # type: ignore[override]
-            seen.append((ns, graph_name, trigger_call_id))
-
-        def _on_terminal(self, ns, status, error) -> None:
-            pass
-
-    transformer = _LegacyTransformer(scope=())
-    # Must not raise: the base calls `_on_started` without a `cause` kwarg.
-    transformer.process(_tasks_start(["agent:abc123"], task_id="abc123", name="agent"))
-
-    assert seen == [(("agent:abc123",), "agent", "abc123")]

libs/langgraph/tests/test_stream_messages_transformer.py

@@ -12,7 +12,7 @@ from langchain_core.language_models.chat_model_stream import (
     AsyncChatModelStream,
     ChatModelStream,
 )
-from langchain_core.messages import AIMessage, AIMessageChunk, ToolMessage
+from langchain_core.messages import AIMessage, AIMessageChunk
 from langchain_core.runnables import RunnableConfig
 from typing_extensions import TypedDict
 
@@ -213,23 +213,6 @@ class TestProtocolEventRouting:
         log.close()
         assert _unstamped(log._items) == []
 
-    def test_tool_role_protocol_events_are_ignored(self) -> None:
-        t, log = _make_sync_transformer()
-        for evt in [
-            {"event": "message-start", "role": "tool", "message_id": "tool-msg-1"},
-            {
-                "event": "content-block-delta",
-                "index": 0,
-                "content_block": {"type": "text", "text": "[]"},
-            },
-            {"event": "message-finish", "reason": "stop"},
-        ]:
-            t.process(_proto_event(evt, run_id="tool-run"))
-
-        log.close()
-        assert _unstamped(log._items) == []
-        assert t._ignored_runs == set()
-
     def test_concurrent_streams_routed_by_run_id(self) -> None:
         t, log = _make_sync_transformer()
         life_a = _lifecycle(text="aaaa", message_id="run-a")
@@ -290,29 +273,6 @@ class TestWholeMessageFallback:
         assert stream.done
         assert stream.output.text == "the full answer"
 
-    def test_whole_tool_message_is_ignored(self) -> None:
-        t, log = _make_sync_transformer()
-        t.process(
-            {
-                "type": "event",
-                "method": "messages",
-                "params": {
-                    "namespace": [],
-                    "timestamp": TS,
-                    "data": (
-                        ToolMessage(
-                            content="[]",
-                            id="tool-msg-1",
-                            tool_call_id="call_1",
-                        ),
-                        {"langgraph_node": "tools"},
-                    ),
-                },
-            }
-        )
-        log.close()
-        assert _unstamped(log._items) == []
-
     def test_whole_message_has_full_lifecycle(self) -> None:
         t, log = _make_sync_transformer()
         t.process(_whole_msg("full"))
@@ -889,23 +849,6 @@ class TestStreamMessagesHandlerV2Unit:
 
         assert emitted == []
 
-    def test_on_chain_end_does_not_emit_tool_messages(self) -> None:
-        from uuid import uuid4
-
-        from langgraph.pregel._messages import StreamMessagesHandlerV2
-
-        emitted: list[Any] = []
-        handler = StreamMessagesHandlerV2(emitted.append, subgraphs=False)
-        run_id = uuid4()
-        handler.metadata[run_id] = ((), {"langgraph_node": "tools"})
-
-        handler.on_chain_end(
-            {"messages": [ToolMessage(content="[]", tool_call_id="call_1")]},
-            run_id=run_id,
-        )
-
-        assert emitted == []
-
     def test_on_llm_end_dedupes_when_final_message_id_differs(self) -> None:
         """A streamed v2 message should not be emitted again from the final
         AIMessage fallback when its final id does not match `message-start`."""

libs/langgraph/tests/test_utils.py

@@ -15,14 +15,12 @@ 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,
 )
@@ -429,128 +427,3 @@ 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

libs/prebuilt/langgraph/prebuilt/_tool_call_transformer.py

@@ -5,42 +5,12 @@ from __future__ import annotations
 from collections.abc import Awaitable, Callable
 from typing import Any
 
-from langchain_core.messages import ToolMessage
 from langgraph.stream._types import ProtocolEvent, StreamTransformer
 from langgraph.stream.stream_channel import StreamChannel
 
 from langgraph.prebuilt._tool_call_stream import ToolCallStream
 
 
-def _is_serialized_tool_message(value: Any) -> bool:
-    """Detect a serialized LangChain `ToolMessage` payload.
-
-    Example:
-        {
-            "lc": 1,
-            "type": "constructor",
-            "id": ["langchain_core", "messages", "ToolMessage"],
-            "kwargs": {"content": "raw tool result", "tool_call_id": "call_1"},
-        }
-    """
-    return (
-        isinstance(value, dict)
-        and value.get("type") == "constructor"
-        and isinstance(value.get("id"), list)
-        and value["id"][-1] == "ToolMessage"
-    )
-
-
-def _normalize_tool_output(output: Any) -> Any:
-    if isinstance(output, ToolMessage):
-        return output.content
-    if _is_serialized_tool_message(output):
-        kwargs = output.get("kwargs")
-        if isinstance(kwargs, dict):
-            return kwargs.get("content")
-    return output
-
-
 class ToolCallTransformer(StreamTransformer):
     """Project `tools` channel events into `ToolCallStream` handles.
 
@@ -139,7 +109,7 @@ class ToolCallTransformer(StreamTransformer):
         elif event_type == "tool-finished":
             stream = self._active.pop(tool_call_id, None)
             if stream is not None:
-                stream._finish(_normalize_tool_output(data.get("output")))
+                stream._finish(data.get("output"))
         elif event_type == "tool-error":
             stream = self._active.pop(tool_call_id, None)
             if stream is not None:

libs/prebuilt/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-prebuilt"
-version = "1.1.0"
+version = "1.1.0a2"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
 requires-python = ">=3.10"

libs/prebuilt/tests/test_tool_call_transformer.py

@@ -6,7 +6,7 @@ import time
 from typing import Annotated, Any
 
 import pytest
-from langchain_core.messages import AIMessage, ToolMessage
+from langchain_core.messages import AIMessage
 from langchain_core.tools import tool
 from langgraph.constants import END, START
 from langgraph.graph import StateGraph
@@ -128,42 +128,6 @@ class TestToolCallTransformerUnit:
         assert stream.error is None
         assert "tc1" not in transformer._active
 
-    def test_finish_unwraps_tool_message_output(self) -> None:
-        mux, transformer = _mux()
-        mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
-        stream = transformer._active["tc1"]
-        mux.push(
-            _tool_event(
-                "tool-finished",
-                "tc1",
-                output=ToolMessage(content="done", tool_call_id="tc1"),
-            )
-        )
-        assert stream.completed is True
-        assert stream.output == "done"
-
-    def test_finish_unwraps_serialized_tool_message_output(self) -> None:
-        mux, transformer = _mux()
-        mux.push(_tool_event("tool-started", "tc1", tool_name="echo"))
-        stream = transformer._active["tc1"]
-        mux.push(
-            _tool_event(
-                "tool-finished",
-                "tc1",
-                output={
-                    "lc": 1,
-                    "type": "constructor",
-                    "id": ["langchain_core", "messages", "ToolMessage"],
-                    "kwargs": {
-                        "content": "serialized done",
-                        "tool_call_id": "tc1",
-                    },
-                },
-            )
-        )
-        assert stream.completed is True
-        assert stream.output == "serialized done"
-
     def test_error_closes_stream(self) -> None:
         mux, transformer = _mux()
         mux.push(_tool_event("tool-started", "tc1", tool_name="boom"))

libs/sdk-py/CHANGELOG.md

@@ -1,48 +0,0 @@
-# Changelog
-
-## Unreleased
-
-### Added
-
-- **Thread-centric streaming (v3)** — `client.threads.stream()` returns an
-  `AsyncThreadStream` (or `SyncThreadStream`) context manager that owns one
-  SSE or WebSocket connection for the lifetime of a thread session.
-
-- **Typed projections** — `thread.messages`, `thread.tool_calls`,
-  `thread.values`, and `thread.extensions[name]` all share the same underlying
-  transport connection. Iterating multiple projections concurrently expands the
-  server-side filter union without opening additional connections.
-
-- **Scoped subgraph handles** — `thread.subgraphs` (alias `thread.subagents`)
-  yields one `ScopedStreamHandle` per direct child invocation, each exposing
-  `.messages`, `.tool_calls`, and `.subgraphs` scoped to that namespace.
-
-- **WebSocket transport** — pass `transport="websocket"` to
-  `client.threads.stream()` to use a WebSocket connection instead of SSE
-  (async client only).
-
-- **Automatic reconnect** — the shared SSE fan-out and the lifecycle watcher
-  both reconnect on transport drops, replaying missed events via a `since`
-  cursor and deduplicating by `event_id`.
-
-- **`thread.agent.get_tree()`** — fetches the assistant graph definition for
-  the current session's `assistant_id` with optional `xray` depth control.
-
-- **`thread.run.respond()`** — resumes a run after a server-side interrupt,
-  resolving the outstanding `InterruptPayload` by `interrupt_id`.
-
-- **`thread.output`** — awaitable that resolves to the terminal thread state
-  `values` dict after the run lifecycle completes.
-
-### Changed
-
-- `client.threads.stream()` now accepts `transport="sse"` (default) or
-  `transport="websocket"` in place of the previous transport-agnostic default.
-
-### Notes
-
-- The v3 streaming surface (`AsyncThreadStream`, `SyncThreadStream`, and all
-  projection classes) is **new** in this release. The existing
-  `client.runs.stream()` (v2) surface is unchanged and remains fully supported.
-- `thread_id` is minted client-side (UUIDv4) when not provided; the server
-  creates the thread row lazily on the first `run.start`.

libs/sdk-py/MIGRATION.md

@@ -1,118 +0,0 @@
-# Migration Guide: v2 → v3 Streaming
-
-`client.runs.stream()` (v2) remains fully supported. This guide covers how to
-adopt the new `client.threads.stream()` (v3) surface when you want typed
-projections, shared SSE fan-out, or WebSocket transport.
-
-## Minimal before/after
-
-**v2 — `client.runs.stream()`**
-
-```python
-from langgraph_sdk import get_client
-
-client = get_client()
-
-thread = await client.threads.create()
-async for chunk in client.runs.stream(
-    thread["thread_id"],
-    "agent",
-    input={"messages": [{"role": "user", "content": "hello"}]},
-    stream_mode="messages",
-):
-    print(chunk.event, chunk.data)
-```
-
-**v3 — `client.threads.stream()`**
-
-```python
-from langgraph_sdk import get_client
-import asyncio
-
-client = get_client()
-
-async with client.threads.stream(assistant_id="agent") as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "hello"}]})
-
-    async for stream in thread.messages:
-        print(await stream.text)
-```
-
-## Key differences
-
-| | v2 `client.runs.stream()` | v3 `client.threads.stream()` |
-|---|---|---|
-| Thread creation | Explicit `client.threads.create()` | Lazy (minted client-side if omitted) |
-| Connection per run | Yes | No — shared SSE for the session |
-| Typed projections | No (raw `StreamPart`) | Yes (`messages`, `tool_calls`, `values`, …) |
-| Subgraph streaming | Not supported | `thread.subgraphs` / `thread.subagents` |
-| WebSocket transport | No | Yes (`transport="websocket"`, async only) |
-| Interrupt handling | Manual polling | `thread.interrupted` / `thread.run.respond()` |
-| Terminal state | Included in stream | `await thread.output` |
-
-## Reattaching to an existing thread
-
-```python
-async with client.threads.stream(
-    thread_id="existing-thread-id",
-    assistant_id="agent",
-) as thread:
-    # If the run already completed, thread.output resolves immediately.
-    result = await thread.output
-```
-
-## Consuming multiple projections concurrently
-
-All projections share one SSE connection. Use `asyncio.gather` (or
-`asyncio.TaskGroup`) to start multiple consumers before any single projection
-has finished — the fan-out task routes events to all subscribers in parallel.
-
-```python
-async with client.threads.stream(assistant_id="agent") as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "hi"}]})
-
-    async def collect_messages():
-        return [s async for s in thread.messages]
-
-    async def collect_tool_calls():
-        return [c async for c in thread.tool_calls]
-
-    messages, tool_calls = await asyncio.gather(
-        collect_messages(),
-        collect_tool_calls(),
-    )
-```
-
-## Human-in-the-loop (interrupts)
-
-```python
-async with client.threads.stream(assistant_id="agent") as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "book a flight"}]})
-
-    # Wait for the run to pause at an interrupt node.
-    # thread.interrupted becomes True when input.requested arrives.
-    while not thread.interrupted:
-        await asyncio.sleep(0.1)
-
-    # Resume with a human response (unambiguous when only one interrupt is outstanding).
-    await thread.run.respond("yes, confirm booking")
-
-    result = await thread.output
-```
-
-## Sync client
-
-The sync client mirrors the async API without `async`/`await`:
-
-```python
-from langgraph_sdk import get_sync_client
-
-client = get_sync_client()
-
-with client.threads.stream(assistant_id="agent") as thread:
-    thread.run.start(input={"messages": [{"role": "user", "content": "hello"}]})
-    for stream in thread.messages:
-        print(stream.text)
-```
-
-The sync client uses SSE only (`transport="websocket"` is not supported).

libs/sdk-py/README.md

@@ -33,43 +33,3 @@ input = {"messages": [{"role": "human", "content": "what's the weather in la"}]}
 async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input):
     print(chunk)
 ```
-
-## Known Limitations
-
-- **WebSocket transport** requires `websockets>=14` and is only available on the async client (`AsyncThreadStream`). The sync client (`SyncThreadStream`) uses SSE exclusively.
-- **`thread.extensions[name]`** opens a new subscription each time the same name is accessed. Assign the projection to a variable and reuse it within a single session rather than re-indexing across multiple iterations.
-- **Sync streaming** drives the lifecycle watcher in a background thread. Long-lived sync sessions will hold that thread open until the context manager exits.
-- **Reconnect attempts** are limited to 5 by default for both the shared SSE fan-out and the lifecycle watcher. Persistent network partitions will surface as `RuntimeError` on in-flight projections.
-
-## Thread-Centric Streaming (v3)
-
-`client.threads.stream()` returns a context manager that owns the SSE session for one
-thread. Typed projections — values snapshots, message streams, tool calls, custom
-events — all share the same underlying connection.
-
-```python
-from langgraph_sdk import get_client
-import asyncio
-
-client = get_client()
-
-async with client.threads.stream(
-    thread_id="my-thread",
-    assistant_id="agent",
-) as thread:
-    await thread.run.start(input={"messages": [{"role": "user", "content": "hi"}]})
-
-    # Start all consumers concurrently so they share one SSE connection.
-    async def get_messages():
-        return [s async for s in thread.messages]
-
-    async def get_tool_calls():
-        return [c async for c in thread.tool_calls]
-
-    messages, tool_calls = await asyncio.gather(get_messages(), get_tool_calls())
-
-    for stream in messages:
-        print(await stream.text)          # accumulated text
-
-    final = await thread.output           # terminal state values
-```

libs/sdk-py/integration/Dockerfile

@@ -1,40 +0,0 @@
-# Thin layer on top of the latest published langgraph-api image.
-#
-# The base image bundles `langgraph_api`, `langgraph_runtime_postgres`,
-# `langgraph_license`, `langgraph_grpc_common`, the Go `core-api-grpc`
-# binary, and an entrypoint that starts both the gRPC server and uvicorn
-# (`/storage/entrypoint.sh`). It also ships langgraph + langchain-core.
-#
-# We track the `latest-py3.12` tag rather than pinning a specific revision
-# so CI surfaces upstream regressions early. If the base shifts under us,
-# `docker compose build` will pick up the new digest on the next run.
-#
-# The image is the `licensed` variant, so it requires either a real
-# `LANGSMITH_API_KEY` or a `LANGGRAPH_CLOUD_LICENSE_KEY` at runtime
-# (passed through from the host shell / CI secrets, see docker-compose.yml).
-
-FROM langchain/langgraph-api:latest-py3.12
-
-# Graph dependencies not in the base image. `deepagents` is required for
-# the deep_agent graph; the supervisor and researcher use a fake chat
-# model (no `langchain-anthropic`) so no LLM API key is needed.
-RUN pip install --no-cache-dir \
-    "langchain>=1.3.0" \
-    "deepagents>=0.6.2"
-
-# Swap the published langgraph *core* for this monorepo's local copy, so the
-# server executes the langgraph under test rather than the latest release.
-# We keep the rest of the base image (langgraph-api, runtime, Go core server)
-# on `latest` — that still surfaces upstream regressions — but the core the
-# server runs is now the PR's, which is what lets this suite catch core
-# regressions (e.g. ensure_config / runtime changes) before they're published.
-# `--no-deps` keeps the base image's already-compatible
-# checkpoint/prebuilt/sdk; we only replace core. The local source comes from
-# the `langgraph_src` additional build context (see docker-compose.yml).
-COPY --from=langgraph_src pyproject.toml README.md LICENSE /opt/langgraph-src/
-COPY --from=langgraph_src langgraph /opt/langgraph-src/langgraph/
-RUN pip install --no-cache-dir --force-reinstall --no-deps /opt/langgraph-src
-
-# Project graphs + registration config.
-COPY graph/ /app/graph/
-COPY langgraph.json /app/langgraph.json

libs/sdk-py/integration/docker-compose.yml

@@ -1,98 +0,0 @@
-name: langgraph-v3-integration
-
-services:
-  postgres:
-    image: pgvector/pgvector:pg16
-    environment:
-      POSTGRES_DB: postgres
-      POSTGRES_USER: postgres
-      POSTGRES_PASSWORD: postgres
-    command: ["postgres", "-c", "shared_preload_libraries=vector", "-c", "max_connections=150"]
-    ports:
-      - "5443:5432"
-    healthcheck:
-      test: pg_isready -U postgres
-      interval: 5s
-      timeout: 1s
-      retries: 5
-      start_period: 10s
-    tmpfs:
-      - /var/lib/postgresql/data
-
-  redis:
-    image: redis:7-alpine
-    command: redis-server --maxmemory 256mb --maxmemory-policy allkeys-lru
-    ports:
-      - "6380:6379"
-    healthcheck:
-      test: redis-cli ping
-      interval: 5s
-      timeout: 1s
-      retries: 5
-      start_period: 2s
-    tmpfs:
-      - /data
-
-  api:
-    # Thin layer on top of langchain/langgraph-api:latest-py3.12 —
-    # see ./Dockerfile. The base image bundles langgraph-api +
-    # langgraph_runtime_postgres + langgraph_license + the Go core-server;
-    # on top we add graph deps (deepagents), the graph files, and this
-    # monorepo's local langgraph *core* (so the server runs the code under
-    # test, not the released langgraph).
-    build:
-      context: .
-      dockerfile: Dockerfile
-      additional_contexts:
-        # The monorepo's local langgraph core (libs/langgraph), installed over
-        # the base image so the server runs the langgraph under test. See the
-        # Dockerfile for why.
-        langgraph_src: ../../langgraph
-    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","factory_agent":"/app/graph/factory_graph.py:make_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

libs/sdk-py/integration/graph/__init__.py

@@ -1,6 +0,0 @@
-"""Example graphs for v3 streaming integration tests."""
-
-from .deep_agent import graph as deep_agent
-from .streaming_graph import graph as streaming_graph
-
-__all__ = ["deep_agent", "streaming_graph"]

libs/sdk-py/integration/graph/deep_agent.py

@@ -1,96 +0,0 @@
-"""Deep-agent variant exercising v3 `thread.subgraphs` properly.
-
-`create_deep_agent` builds a graph whose `task` tool dispatches to one
-of its configured `SubAgent`s. When the supervisor's model issues a
-`task(subagent_type="researcher", description=...)` tool call, the
-sub-agent runs as a nested invocation and the v3 streaming server
-emits the subagent's lifecycle, messages, and tool events under a
-scoped namespace. That namespace is what `thread.subgraphs` surfaces
-as a direct-child `ScopedStreamHandle`.
-
-Both the supervisor and the researcher use `FakeMessagesListChatModel`
-with pre-scripted responses so this graph is hermetic. No LLM API keys
-are required, and the test is deterministic.
-"""
-
-from __future__ import annotations
-
-from typing import Any
-
-from deepagents import create_deep_agent
-from deepagents.middleware.subagents import SubAgent
-from langchain_core.language_models.fake_chat_models import FakeMessagesListChatModel
-from langchain_core.messages import AIMessage
-
-
-class _FakeChatModelWithTools(FakeMessagesListChatModel):
-    """`FakeMessagesListChatModel` that accepts `bind_tools(...)` as a no-op.
-
-    `create_deep_agent` calls `model.bind_tools(tools)` to expose the `task`
-    tool to the supervisor. The base `BaseChatModel.bind_tools` raises
-    `NotImplementedError`. Pre-baked responses in `responses` already carry
-    the desired `tool_calls`, so we ignore the tools list and return self.
-    """
-
-    def bind_tools(self, tools: Any, **kwargs: Any) -> _FakeChatModelWithTools:
-        return self
-
-
-# Supervisor turn 1: dispatch to the researcher via the `task` tool.
-# Supervisor turn 2: emit a final assistant message (no more tool calls),
-# which closes the agent loop.
-_supervisor_model = _FakeChatModelWithTools(
-    responses=[
-        AIMessage(
-            content="",
-            id="sup-1",
-            tool_calls=[
-                {
-                    "id": "tc-task-1",
-                    "name": "task",
-                    "args": {
-                        "subagent_type": "researcher",
-                        "description": "research v3 streaming",
-                    },
-                }
-            ],
-        ),
-        AIMessage(content="Research complete.", id="sup-2"),
-    ]
-)
-
-
-# Researcher turn 1: final message, no tool calls. Closes the subagent loop.
-_researcher_model = _FakeChatModelWithTools(
-    responses=[
-        AIMessage(
-            content="v3 streaming is event-typed and thread-centric.", id="res-1"
-        ),
-    ]
-)
-
-
-_researcher: SubAgent = {
-    "name": "researcher",
-    "description": (
-        "Looks up notes on a topic and returns a short summary. "
-        "Use this when the user wants to research something."
-    ),
-    "system_prompt": (
-        "You are a research assistant. Reply with one or two sentences "
-        "summarising what the user asked about. Do not call any tools."
-    ),
-    "model": _researcher_model,
-}
-
-
-graph = create_deep_agent(
-    model=_supervisor_model,
-    system_prompt=(
-        "You are a supervisor coordinating a researcher subagent. "
-        "When the user asks to research anything, call the `task` tool "
-        "with subagent_type='researcher'."
-    ),
-    subagents=[_researcher],
-    name="v3_deep_agent",
-)

libs/sdk-py/integration/graph/factory_graph.py

@@ -1,70 +0,0 @@
-"""Integration fixture: a graph *factory* (not a pre-compiled graph).
-
-Registered as `factory_agent`. The other integration graphs are all
-pre-compiled objects, so this is the only fixture that drives the server's
-graph-factory code path on a run. That path is where langgraph-api seeds a
-`ServerRuntime` into the run config; executing a run against this graph is the
-end-to-end regression guard for the langgraph 1.2.3 `ensure_config`
-configurable-merge surfacing a leaked `__pregel_runtime`
-(`AttributeError: '_ExecutionRuntime' object has no attribute 'control'`).
-"""
-
-from __future__ import annotations
-
-from typing import TYPE_CHECKING
-
-from langgraph.graph.state import END, CompiledStateGraph, StateGraph
-from langgraph.store.base import BaseStore
-from typing_extensions import TypedDict
-
-if TYPE_CHECKING:
-    from langgraph.types import RunnableConfig
-
-    from langgraph_sdk.runtime import ServerRuntime
-
-
-class State(TypedDict, total=False):
-    text: str
-    access_context: str
-    is_for_execution: bool
-
-
-async def make_graph(
-    config: RunnableConfig, runtime: ServerRuntime
-) -> CompiledStateGraph:
-    """2-arg factory (config + runtime) returning a compiled echo graph.
-
-    Validates that the server injected a real `ServerRuntime`, then builds a
-    one-node graph whose output echoes the input and reports the runtime's
-    access context (so the test can confirm the factory ran under execution).
-    """
-    from langgraph_sdk.runtime import (
-        _ExecutionRuntime,
-        _ReadRuntime,
-    )
-
-    # `if/raise` rather than `assert` so the contract holds under `python -O`.
-    if not isinstance(runtime, (_ExecutionRuntime, _ReadRuntime)):
-        raise TypeError(
-            f"factory must receive a ServerRuntime, got {type(runtime).__name__}"
-        )
-    if not isinstance(runtime.store, BaseStore):
-        raise TypeError(
-            f"runtime.store must be a BaseStore, got {type(runtime.store).__name__}"
-        )
-
-    access_context = runtime.access_context
-    is_for_execution = runtime.execution_runtime is not None
-
-    def echo(state: State) -> State:
-        return {
-            "text": (state.get("text") or "") + " echoed",
-            "access_context": access_context,
-            "is_for_execution": is_for_execution,
-        }
-
-    workflow = StateGraph(State)
-    workflow.add_node("echo", echo)
-    workflow.set_entry_point("echo")
-    workflow.add_edge("echo", END)
-    return workflow.compile()

libs/sdk-py/integration/graph/streaming_graph.py

@@ -1,300 +0,0 @@
-"""Example graph exercising the full v3 streaming surface.
-
-Topology:
-
-    __start__ -> stream_message -> call_tool -> ask_human -> subgraph -> __end__
-
-Each node is designed to surface a specific v3 channel:
-
-- `stream_message` yields token-by-token AI message chunks (`messages`).
-- `call_tool` invokes a tool and emits a tool-call lifecycle (`tools`).
-- `ask_human` raises an `interrupt(...)` to test `thread.interrupted` /
-  `thread.run.respond(...)` (`lifecycle` / `input`).
-- `subgraph` is a nested `StateGraph` invoked once so `thread.subgraphs` has
-  exactly one direct child (`tasks` + `messages` under a namespace).
-
-Extensions: every node calls `get_stream_writer()("progress", {...})` so
-`thread.extensions["progress"]` produces deterministic events.
-
-No real LLM is used — message streaming is simulated by yielding a list of
-`AIMessageChunk`s from the node. This keeps the integration suite
-hermetic.
-"""
-
-from __future__ import annotations
-
-import operator
-from collections.abc import AsyncIterator, Iterator
-from typing import Annotated, Any, TypedDict
-
-from langchain_core.callbacks import (
-    AsyncCallbackManagerForLLMRun,
-    CallbackManagerForLLMRun,
-)
-from langchain_core.language_models.chat_models import BaseChatModel
-from langchain_core.messages import AIMessage, AIMessageChunk, BaseMessage, ToolMessage
-from langchain_core.outputs import ChatGenerationChunk
-from langchain_core.tools import tool
-from langgraph.config import get_stream_writer
-from langgraph.graph import StateGraph
-from langgraph.graph.message import add_messages
-from langgraph.stream.transformers import CustomTransformer, UpdatesTransformer
-from langgraph.types import interrupt
-
-
-class _StreamingFakeChatModel(BaseChatModel):
-    """Fake ``BaseChatModel`` that streams ``AIMessageChunk``s.
-
-    Implements ``_stream`` / ``_astream`` so the v3 chat-model
-    callback chain (``_aiter_v2_events`` in
-    ``langchain_core/language_models/chat_models.py``) fires
-    ``run_manager.on_stream_event(...)`` per normalized protocol
-    event. ``StreamMessagesHandlerV2`` -- attached by the langgraph
-    runtime when ``"messages"`` is in stream_modes -- catches those
-    callbacks and surfaces them on the v3 wire ``messages`` channel
-    at root namespace.
-
-    The base ``FakeMessagesListChatModel`` would have worked for
-    ``ainvoke`` but raises ``NotImplementedError`` from ``_stream``,
-    so it can't drive the streaming-callback path. ``GenericFakeChatModel``
-    implements ``_stream`` but takes an ``Iterator`` that gets
-    exhausted across invocations.
-    """
-
-    text: str = "Hello, world!"
-    message_id: str = "ai-msg-1"
-
-    @property
-    def _llm_type(self) -> str:
-        return "streaming-fake-chat-model"
-
-    def _generate(self, messages, stop=None, run_manager=None, **kwargs):
-        from langchain_core.outputs import ChatGeneration, ChatResult
-
-        return ChatResult(
-            generations=[
-                ChatGeneration(message=AIMessage(content=self.text, id=self.message_id))
-            ]
-        )
-
-    def _stream(
-        self,
-        messages: list[BaseMessage],
-        stop: list[str] | None = None,
-        run_manager: CallbackManagerForLLMRun | None = None,
-        **kwargs: object,
-    ) -> Iterator[ChatGenerationChunk]:
-        # Yield content as space-separated word chunks so deltas are
-        # observable. The final chunk's ``chunk_position="last"`` tells
-        # the callback chain to emit ``message-finish``.
-        parts = self.text.split(" ")
-        for i, part in enumerate(parts):
-            content = part if i == 0 else " " + part
-            chunk = AIMessageChunk(content=content, id=self.message_id)
-            if i == len(parts) - 1:
-                chunk.chunk_position = "last"
-            yield ChatGenerationChunk(message=chunk)
-
-    async def _astream(
-        self,
-        messages: list[BaseMessage],
-        stop: list[str] | None = None,
-        run_manager: AsyncCallbackManagerForLLMRun | None = None,
-        **kwargs: object,
-    ) -> AsyncIterator[ChatGenerationChunk]:
-        for chunk in self._stream(messages, stop=stop, **kwargs):
-            yield chunk
-
-
-_stream_model = _StreamingFakeChatModel()
-
-
-class AgentState(TypedDict):
-    """Top-level state for the agent.
-
-    `messages` accumulates AI/tool/user messages via the standard `add_messages`
-    reducer. `value` is a simple scalar to test the `values` channel.
-    `items` accumulates list-append updates via `operator.add` so each node
-    contributes a marker and the terminal state reflects the full path
-    rather than only the last node's return.
-    """
-
-    messages: Annotated[list[BaseMessage], add_messages]
-    value: str
-    items: Annotated[list[str], operator.add]
-
-
-@tool
-def search(query: str) -> str:
-    """Look up `query` in a fake search index."""
-    return f"result for {query!r}"
-
-
-# ---------------------------------------------------------------------------
-# Nodes
-# ---------------------------------------------------------------------------
-
-
-async def stream_message(state: AgentState) -> dict[str, Any]:
-    """Stream an AI message via a fake chat model.
-
-    Awaiting ``model.ainvoke(...)`` drives langgraph's chat-model
-    streaming callbacks (``StreamMessagesHandlerV2`` ->
-    ``MessagesTransformer``), so the v3 ``messages`` channel emits the
-    normalized delta lifecycle (``message-start`` ->
-    ``content-block-start`` -> ``content-block-delta`` ->
-    ``content-block-finish`` -> ``message-finish``) at root namespace.
-    Returning the resolved ``AIMessage`` via the messages reducer also
-    keeps the existing ``values`` snapshots intact.
-    """
-    writer = get_stream_writer()
-
-    writer({"name": "progress", "step": "stream_message", "phase": "start"})
-
-    # ``astream_events(version="v3")`` drives the chat model's
-    # ``_aiter_v2_events`` path (``BaseChatModel`` in
-    # ``langchain_core/language_models/chat_models.py``), which fires
-    # ``run_manager.on_stream_event(...)`` per normalized protocol
-    # event (``message-start`` / ``content-block-delta`` /
-    # ``message-finish``). ``StreamMessagesHandlerV2`` -- attached by
-    # the langgraph runtime when ``"messages"`` is in stream_modes --
-    # catches those callbacks and surfaces them on the v3 wire
-    # ``messages`` channel at root namespace. Plain ``astream(...)``
-    # does NOT route through this handler.
-    text_parts: list[str] = []
-    message_id = "ai-msg-1"
-    # ``astream_events(version="v3")`` returns an awaitable that resolves
-    # to the async iterator.
-    stream = await _stream_model.astream_events([], version="v3")
-    async for event in stream:
-        if event.get("event") == "content-block-delta":
-            delta = event.get("delta") or {}
-            t = delta.get("text") if isinstance(delta, dict) else None
-            if isinstance(t, str):
-                text_parts.append(t)
-        elif event.get("event") == "message-start":
-            mid = event.get("id")
-            if isinstance(mid, str):
-                message_id = mid
-    final = AIMessage(content="".join(text_parts), id=message_id)
-
-    writer({"name": "progress", "step": "stream_message", "phase": "end"})
-    return {"messages": [final], "value": "x", "items": ["streamed"]}
-
-
-def call_tool(state: AgentState) -> dict[str, Any]:
-    """Invoke a tool and emit its result as a tool message.
-
-    A tool call here exercises the `tools` channel in v3.
-    """
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "call_tool", "phase": "start"})
-
-    # Hand-roll a tool call so we don't need a model to issue it.
-    tool_call_id = "tc-1"
-    ai_with_tool = AIMessage(
-        content="",
-        id="ai-msg-2",
-        tool_calls=[
-            {
-                "id": tool_call_id,
-                "name": "search",
-                "args": {"query": "v3"},
-            }
-        ],
-    )
-    result = search.invoke({"query": "v3"})
-    tool_msg = ToolMessage(content=result, tool_call_id=tool_call_id)
-
-    writer({"name": "progress", "step": "call_tool", "phase": "end"})
-    return {
-        "messages": [ai_with_tool, tool_msg],
-        "items": ["tool"],
-    }
-
-
-def ask_human(state: AgentState) -> dict[str, Any]:
-    """Pause the graph and wait for a `thread.run.respond(...)`.
-
-    `interrupt(value)` raises a special exception that the runtime catches;
-    the v3 lifecycle emits `input.requested` with this `value` and the
-    client must call `thread.run.respond(answer)` to continue.
-    """
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "ask_human", "phase": "start"})
-
-    answer = interrupt("Are we good?")
-
-    writer(
-        {"name": "progress", "step": "ask_human", "phase": "end", "answer": str(answer)}
-    )
-    return {
-        "messages": [AIMessage(content=f"Human said: {answer}", id="ai-msg-3")],
-        "items": ["asked"],
-    }
-
-
-# ---------------------------------------------------------------------------
-# Subgraph (exercises `thread.subgraphs`)
-# ---------------------------------------------------------------------------
-
-
-class SubState(TypedDict):
-    messages: Annotated[list[BaseMessage], add_messages]
-    note: str
-
-
-def sub_node(state: SubState) -> dict[str, Any]:
-    """Single node in the subgraph; emits a message and a custom event."""
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "sub_node", "phase": "start"})
-    msg = AIMessage(content="from subgraph", id="sub-msg-1")
-    writer({"name": "progress", "step": "sub_node", "phase": "end"})
-    return {"messages": [msg], "note": "ran"}
-
-
-_sub_builder = StateGraph(SubState)
-_sub_builder.add_node("sub", sub_node)
-_sub_builder.set_entry_point("sub")
-_sub_builder.set_finish_point("sub")
-subgraph = _sub_builder.compile()
-
-
-def run_subgraph(state: AgentState) -> dict[str, Any]:
-    """Invoke the subgraph once so it appears as a direct child handle."""
-    writer = get_stream_writer()
-    writer({"name": "progress", "step": "run_subgraph", "phase": "start"})
-    sub_state = subgraph.invoke({"messages": [], "note": ""})
-    writer({"name": "progress", "step": "run_subgraph", "phase": "end"})
-    return {
-        "messages": sub_state["messages"],
-        "items": ["sub"],
-    }
-
-
-# ---------------------------------------------------------------------------
-# Top-level graph
-# ---------------------------------------------------------------------------
-
-
-_builder: StateGraph[AgentState, Any, Any, Any] = StateGraph(AgentState)
-_builder.add_node("stream_message", stream_message)
-_builder.add_node("call_tool", call_tool)
-_builder.add_node("ask_human", ask_human)
-_builder.add_node("run_subgraph", run_subgraph)
-
-_builder.set_entry_point("stream_message")
-_builder.add_edge("stream_message", "call_tool")
-_builder.add_edge("call_tool", "ask_human")
-_builder.add_edge("ask_human", "run_subgraph")
-_builder.set_finish_point("run_subgraph")
-
-graph = _builder.compile(
-    name="v3_integration_agent",
-    # Register transformers so ``custom`` (``get_stream_writer()``) and
-    # ``updates`` channels emit on the wire. ``MessagesTransformer`` is
-    # auto-registered by the v3 mux for any graph that streams a chat
-    # model. ``ValuesTransformer`` / ``LifecycleTransformer`` are also
-    # always-on natives.
-    transformers=[CustomTransformer, UpdatesTransformer],
-)

libs/sdk-py/integration/graph/tools_agent.py

@@ -1,97 +0,0 @@
-"""create_agent-based example exercising the v3 `tools` channel.
-
-`thread.tool_calls` and the underlying `tools` channel only emit
-events when an actual model issues a tool call through langchain's
-agent stack. The synthetic `streaming_graph.py` hand-builds
-`AIMessage(tool_calls=[...])` and a `ToolMessage` via the messages
-reducer — that gets persisted in state but never produces tool-call
-telemetry on the wire. This graph fixes that by going through
-`create_agent` with a real tool, driven by a 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",
-)

libs/sdk-py/integration/langgraph.json

@@ -1,11 +0,0 @@
-{
-  "$schema": "https://langgra.ph/schema.json",
-  "dependencies": ["./graph"],
-  "graphs": {
-    "agent": "./graph/streaming_graph.py:graph",
-    "tools_agent": "./graph/tools_agent.py:graph",
-    "deep_agent": "./graph/deep_agent.py:graph",
-    "factory_agent": "./graph/factory_graph.py:make_graph"
-  },
-  "env": {}
-}