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

## Summary

Refactors the four (now five) sdk-py streaming projections into
reusable, transport-agnostic `Decoder` classes and adds a new
`interleave_projections(channels)` method to `AsyncThreadStream` and
`SyncThreadStream` that drives multiple decoders from one shared
subscription, yielding `(channel_name, item)` tuples in arrival order
(the SDK analog of local `GraphRunStream.interleave`).

- **New `langgraph_sdk/stream/decoders.py`**: pure `feed(event) ->
Iterable[item]` state machines — `ValuesDecoder`, `MessagesDecoder`,
`ToolCallsDecoder`, `SubgraphsDecoder`, `ExtensionsDecoder` — behind a
`Decoder` Protocol. No subscription/queue/thread access.
- **Projection migration (async + sync)**: the five existing projections
now delegate their per-event logic to the decoders. Behavior-preserving
— the existing test suite is the regression net. Thread-coupled side
effects (active-stream registration, terminal-error-on-close, root-inbox
forwarding) stay in the projection wrappers; sync messages/tool_calls
keep their pre-dispatch contract (handle/stream resolved on yield) via a
FIFO-head buffer.
- **`interleave_projections`**: flat-namespace channel list (built-ins +
extension names), `tool_calls`↔`tools` wire mapping, subgraphs fed every
event, extensions keyed by bare name.

### Notable
- Fixes a latent sync bug surfaced by the refactor: two tool calls /
messages whose events interleave previously dropped the second; both now
surface. Locked in with a regression test.
- `Decoder.feed` takes `Mapping[str, Any]` (read-only), so the Protocol
is load-bearing in both stream files.

### Deferred (not in this PR)
- Wiring `RemoteGraph._RemoteGraphRunStream.interleave` to
`interleave_projections` (gated on #7927).
- Migrating the handle-scoped projections (`_Handle*Projection`) to the
decoders — hence the small, verified-identical helper duplication
between `decoders.py` and `_async/stream.py`.
- `interleave_projections` handles aren't registered for thread-close
cleanup (additive follow-up).

## Test Plan
- [x] `make test` in `libs/sdk-py` — 464 passed, 0 failures
- [x] `make format` / `make lint` (ruff + ty) clean
- [x] Per-decoder unit tests in `tests/streaming/test_decoders.py`
- [x] `interleave_projections` tests (single-channel, multi-channel
arrival order, builtin+extension mix, tool_calls public-name, subgraphs
discovery) async + sync
- [x] Existing projection suites pass unchanged (regression net for the
migration)

.github/workflows/_sdk_integration_test.yml

@@ -0,0 +1,85 @@
+name: sdk-py integration test
+
+on:
+  workflow_call:
+    secrets:
+      LANGSMITH_API_KEY:
+        required: false
+      DOCKERHUB_USERNAME:
+        required: false
+      DOCKERHUB_RO_TOKEN:
+        required: false
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    name: "sdk-py integration"
+    defaults:
+      run:
+        working-directory: libs/sdk-py
+    env:
+      HAS_LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY != '' }}
+    steps:
+      - uses: actions/checkout@v6
+
+      - name: Set up Python
+        uses: ./.github/actions/uv_setup
+        with:
+          python-version: "3.13"
+          cache-suffix: sdk-py-integration
+          working-directory: libs/sdk-py
+
+      - name: Login to Docker Hub
+        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
+        if: ${{ !github.event.pull_request.head.repo.fork }}
+        with:
+          username: ${{ secrets.DOCKERHUB_USERNAME }}
+          password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
+
+      - name: Install dependencies
+        shell: bash
+        run: uv sync --frozen --group test --no-dev
+
+      - name: Skip if LANGSMITH_API_KEY is not available
+        if: env.HAS_LANGSMITH_API_KEY != 'true'
+        run: |
+          echo "LANGSMITH_API_KEY is not set (likely a fork PR). Skipping integration tests."
+          exit 0
+
+      - name: Bring up integration stack
+        if: env.HAS_LANGSMITH_API_KEY == 'true'
+        working-directory: libs/sdk-py/integration
+        env:
+          LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
+        run: docker compose up -d --build
+
+      - name: Wait for API healthcheck
+        if: env.HAS_LANGSMITH_API_KEY == 'true'
+        run: |
+          for i in $(seq 1 60); do
+            if curl -sf http://localhost:2024/ok >/dev/null; then
+              echo "API ready after ${i}s"
+              exit 0
+            fi
+            sleep 2
+          done
+          echo "API failed to become healthy within 120s"
+          docker compose -f libs/sdk-py/integration/docker-compose.yml logs api | tail -100
+          exit 1
+
+      - name: Run integration suite
+        if: env.HAS_LANGSMITH_API_KEY == 'true'
+        run: uv run pytest tests/integration/ -m integration
+
+      - name: Dump api logs on failure
+        if: failure() && env.HAS_LANGSMITH_API_KEY == 'true'
+        working-directory: libs/sdk-py/integration
+        run: docker compose logs api | tail -200
+
+      - name: Tear down stack
+        if: always() && env.HAS_LANGSMITH_API_KEY == 'true'
+        working-directory: libs/sdk-py/integration
+        run: docker compose down -v

.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@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # 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@b45d80f862d83dbcd57f89517bcf500b2ab88fb2 # v4
+        uses: docker/login-action@4907a6ddec9925e35a0a9e82d7399ccc52663121 # v4
         if: ${{ !github.event.pull_request.head.repo.fork }}
         with:
           username: ${{ secrets.DOCKERHUB_USERNAME }}

.github/workflows/_test_release.yml

@@ -82,7 +82,7 @@ jobs:
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish to test PyPI
-        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
+        uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
         with:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true

.github/workflows/bench.yml

@@ -57,15 +57,19 @@ jobs:
             echo EOF
           } >> "$GITHUB_OUTPUT"
       - name: Annotation
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
+        env:
+          CHANGED_FILES: ${{ steps.files.outputs.added_modified_renamed }}
+          BENCHMARK_OUTPUT: ${{ steps.benchmark.outputs.OUTPUT }}
+          COMPARE_OUTPUT: ${{ steps.compare.outputs.OUTPUT }}
         with:
           script: |
-            const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
-            core.notice(`${{ steps.benchmark.outputs.OUTPUT }}`, {
+            const file = JSON.parse(process.env.CHANGED_FILES || "[]")[0]
+            core.notice(process.env.BENCHMARK_OUTPUT || "", {
               title: 'Benchmark results',
               file,
             })
-            core.notice(`${{ steps.compare.outputs.OUTPUT }}`, {
+            core.notice(process.env.COMPARE_OUTPUT || "", {
               title: 'Comparison against main',
               file,
             })

.github/workflows/ci.yml

@@ -28,6 +28,7 @@ jobs:
     outputs:
       python: ${{ steps.filter.outputs.python || 'true' }}
       deps: ${{ steps.filter.outputs.deps || 'true' }}
+      sdk_py: ${{ steps.filter.outputs.sdk_py || 'true' }}
     steps:
       - uses: actions/checkout@v6
       - uses: dorny/paths-filter@fbd0ab8f3e69293af611ebaee6363fc25e6d187d # v4
@@ -47,6 +48,10 @@ jobs:
             deps:
               - '**/pyproject.toml'
               - '**/uv.lock'
+            sdk_py:
+              - 'libs/sdk-py/**'
+              - 'libs/langgraph/langgraph/pregel/remote.py'
+              - 'libs/langgraph/langgraph/pregel/_remote_run_stream.py'
 
   lint:
     needs: changes
@@ -156,6 +161,13 @@ jobs:
     uses: ./.github/workflows/_integration_test.yml
     secrets: inherit
 
+  sdk-py-integration-test:
+    needs: changes
+    if: needs.changes.outputs.sdk_py == 'true'
+    name: "sdk-py integration test"
+    uses: ./.github/workflows/_sdk_integration_test.yml
+    secrets: inherit
+
   ci_success:
     name: "CI Success"
     needs:
@@ -166,6 +178,7 @@ jobs:
         check-sdk-methods,
         check-schema,
         integration-test,
+        sdk-py-integration-test,
       ]
     if: |
       always()

.github/workflows/deploy-redirects.yml

@@ -40,7 +40,7 @@ jobs:
         uses: actions/configure-pages@v6
 
       - name: Upload artifact
-        uses: actions/upload-pages-artifact@v4
+        uses: actions/upload-pages-artifact@v5
         with:
           path: 'docs/_site'
 

.github/workflows/release.yml

@@ -32,6 +32,7 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           cache-suffix: "release"
+          enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
       # We want to keep this build stage *separate* from the release stage,
@@ -268,6 +269,7 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           cache-suffix: "release"
+          enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
       - uses: actions/download-artifact@v8
@@ -276,7 +278,7 @@ jobs:
           path: ${{ inputs.working-directory }}/dist/
 
       - name: Publish package distributions to PyPI
-        uses: pypa/gh-action-pypi-publish@ed0c53931b1dc9bd32cbe73a98c7f6766f8a527e # release/v1
+        uses: pypa/gh-action-pypi-publish@cef221092ed1bacb1cc03d23a2d87d1d172e277b # release/v1
         with:
           packages-dir: ${{ inputs.working-directory }}/dist/
           verbose: true
@@ -309,6 +311,7 @@ jobs:
         with:
           python-version: ${{ env.PYTHON_VERSION }}
           cache-suffix: "release"
+          enable-cache: false
           working-directory: ${{ inputs.working-directory }}
 
       - uses: actions/download-artifact@v8

.github/workflows/reopen_on_assignment.yml

@@ -26,7 +26,7 @@ jobs:
 
     steps:
       - name: Find and reopen matching PRs
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;

.github/workflows/require_issue_link.yml

@@ -50,7 +50,7 @@ jobs:
     steps:
       - name: Check for issue link and assignee
         id: check-link
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;
@@ -283,7 +283,7 @@ jobs:
         if: >-
           env.ENFORCE_ISSUE_LINK == 'true' &&
           (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;
@@ -312,7 +312,7 @@ jobs:
         if: >-
           env.ENFORCE_ISSUE_LINK == 'true' &&
           steps.check-link.outputs.has-link == 'true' && steps.check-link.outputs.is-assigned == 'true'
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;
@@ -366,7 +366,7 @@ jobs:
         if: >-
           env.ENFORCE_ISSUE_LINK == 'true' &&
           (steps.check-link.outputs.has-link != 'true' || steps.check-link.outputs.is-assigned != 'true')
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           script: |
             const { owner, repo } = context.repo;

.github/workflows/tag-external-issues.yml

@@ -63,7 +63,7 @@ jobs:
       - name: Check if contributor is external
         if: steps.app-token.outcome == 'success'
         id: check-membership
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           github-token: ${{ steps.app-token.outputs.token }}
           script: |
@@ -102,7 +102,7 @@ jobs:
 
       - name: Apply contributor tier label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -155,7 +155,7 @@ jobs:
 
       - name: Add external label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -168,7 +168,7 @@ jobs:
 
       - name: Add internal label
         if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |
@@ -196,7 +196,7 @@ jobs:
           private-key: ${{ secrets.ORG_MEMBERSHIP_APP_PRIVATE_KEY }}
 
       - name: Backfill labels
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           github-token: ${{ steps.app-token.outputs.token }}
           script: |

.github/workflows/tag-external-prs.yml

@@ -48,7 +48,7 @@ jobs:
       - name: Check if contributor is external
         if: steps.app-token.outcome == 'success'
         id: check-membership
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           github-token: ${{ steps.app-token.outputs.token }}
           script: |
@@ -90,7 +90,7 @@ jobs:
       # event fires and triggers require_issue_link.yml.
       - name: Apply contributor tier label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           # Use App token so the "labeled" event propagates to downstream
           # workflows (e.g. require_issue_link.yml).
@@ -145,7 +145,7 @@ jobs:
 
       - name: Add external label
         if: steps.check-membership.outputs.is-external == 'true'
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           # Use App token so the "labeled" event propagates to downstream
           # workflows (e.g. require_issue_link.yml). Events created by the
@@ -161,7 +161,7 @@ jobs:
 
       - name: Add internal label
         if: steps.check-membership.outputs.is-external == 'false'
-        uses: actions/github-script@v8
+        uses: actions/github-script@v9
         with:
           github-token: ${{ secrets.GITHUB_TOKEN }}
           script: |

.github/workflows/uv_lock_ugprade.yml

@@ -28,7 +28,7 @@ jobs:
         run: make lock-upgrade
           
       - name: Create Pull Request
-        uses: peter-evans/create-pull-request@c0f553fe549906ede9cf27b5156039d195d2ece0 # v8
+        uses: peter-evans/create-pull-request@5f6978faf089d4d20b00c7766989d076bb2fc7f1 # v8
         with:
           token: ${{ secrets.GITHUB_TOKEN }}
           commit-message: "chore(deps): upgrade dependencies with `uv lock --upgrade`"

README.md

@@ -27,10 +27,10 @@ Trusted by companies shaping the future of agents – including Klarna, Replit,
 pip install -U langgraph
 ```
 
-If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
+> [!TIP]
+> If you're looking to quickly build agents, check out **[Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview)** — a higher-level package built on LangGraph for agents that can plan, use subagents, and leverage file systems for complex tasks.
 
-> [!NOTE]
-> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
+For an equivalent JS/TS library, check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
 
 ## Why use LangGraph?
 
@@ -51,7 +51,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L
 
 To improve your LLM application development, pair LangGraph with:
 
-- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
+- [Deep Agents](https://docs.langchain.com/oss/python/deepagents/overview) – Build agents that can plan, use subagents, and leverage file systems for complex tasks.
 - [LangChain](https://docs.langchain.com/oss/python/langchain/overview) – Provides integrations and composable components to streamline LLM application development.
 - [LangSmith](https://www.langchain.com/langsmith) – Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
 - [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) – Deploy and scale agents effortlessly with a purpose-built deployment platform for long-running, stateful workflows. Discover, reuse, configure, and share agents across teams – and iterate quickly with visual prototyping in [LangSmith Studio](https://docs.langchain.com/langsmith/studio).

libs/checkpoint-conformance/README.md

@@ -63,6 +63,7 @@ The suite tests **base** capabilities (required) and **extended** capabilities (
 | `delete_for_runs` | no | `adelete_for_runs` |
 | `copy_thread` | no | `acopy_thread` |
 | `prune` | no | `aprune` |
+| `delta_channel_history` | no | `aget_delta_channel_history` |
 
 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

@@ -23,6 +23,7 @@ class Capability(str, Enum):
     DELETE_FOR_RUNS = "delete_for_runs"
     COPY_THREAD = "copy_thread"
     PRUNE = "prune"
+    DELTA_CHANNEL_HISTORY = "delta_channel_history"
 
 
 # Capabilities that every checkpointer must support.
@@ -42,6 +43,7 @@ EXTENDED_CAPABILITIES = frozenset(
         Capability.DELETE_FOR_RUNS,
         Capability.COPY_THREAD,
         Capability.PRUNE,
+        Capability.DELTA_CHANNEL_HISTORY,
     }
 )
 
@@ -57,6 +59,7 @@ _CAPABILITY_METHOD_MAP: dict[Capability, str] = {
     Capability.DELETE_FOR_RUNS: "adelete_for_runs",
     Capability.COPY_THREAD: "acopy_thread",
     Capability.PRUNE: "aprune",
+    Capability.DELTA_CHANNEL_HISTORY: "aget_delta_channel_history",
 }
 
 

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

@@ -9,6 +9,9 @@ from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
 from langgraph.checkpoint.conformance.spec.test_delete_thread import (
     run_delete_thread_tests,
 )
+from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
+    run_delta_channel_history_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
@@ -24,4 +27,5 @@ __all__ = [
     "run_delete_for_runs_tests",
     "run_copy_thread_tests",
     "run_prune_tests",
+    "run_delta_channel_history_tests",
 ]

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

@@ -0,0 +1,99 @@
+"""Shared fixtures for delta-channel conformance tests.
+
+Builds a parent chain with `_DeltaSnapshot` blobs at known positions via
+direct `aput` / `aput_writes` calls. No langgraph or Pregel dependency.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Sequence
+from typing import Any
+from uuid import uuid4
+
+from langchain_core.runnables import RunnableConfig
+from langgraph.checkpoint.base import BaseCheckpointSaver, Checkpoint
+from langgraph.checkpoint.base.id import uuid6
+
+from langgraph.checkpoint.conformance.test_utils import generate_metadata
+
+
+async def build_delta_chain(
+    saver: BaseCheckpointSaver,
+    *,
+    thread_id: str | None = None,
+    checkpoint_ns: str = "",
+    channel: str = "messages",
+    snapshots_at_steps: Sequence[int] = (0,),
+    total_steps: int = 6,
+    write_value_fn: Any | None = None,
+) -> list[RunnableConfig]:
+    """Build a parent chain with `_DeltaSnapshot` at known positions.
+
+    Args:
+        saver: Checkpointer instance.
+        thread_id: Defaults to a random UUID.
+        checkpoint_ns: Namespace (default root).
+        channel: Channel name used for snapshots and writes.
+        snapshots_at_steps: Steps at which a `_DeltaSnapshot` blob is stored
+            in `channel_values[channel]`. Step 0 is the oldest checkpoint.
+        total_steps: Number of checkpoints in the chain.
+        write_value_fn: Callable(step) -> write value. Defaults to step index.
+
+    Returns:
+        List of stored configs (oldest first), one per step.
+    """
+    if write_value_fn is None:
+
+        def write_value_fn(step: int) -> Any:
+            return step
+
+    from langgraph.checkpoint.serde.types import _DeltaSnapshot
+
+    thread_id = thread_id or str(uuid4())
+    snapshot_set = set(snapshots_at_steps)
+    stored: list[RunnableConfig] = []
+    parent_cfg: RunnableConfig | None = None
+
+    for step in range(total_steps):
+        config: RunnableConfig = {
+            "configurable": {
+                "thread_id": thread_id,
+                "checkpoint_ns": checkpoint_ns,
+            }
+        }
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+
+        channel_values: dict[str, Any] = {}
+        channel_versions: dict[str, int] = {}
+        if step in snapshot_set:
+            channel_values[channel] = _DeltaSnapshot(
+                write_value_fn(step),
+            )
+            channel_versions[channel] = step + 1
+
+        cp = Checkpoint(
+            v=1,
+            id=str(uuid6(clock_seq=-1)),
+            ts="",
+            channel_values=channel_values,
+            channel_versions=channel_versions,
+            versions_seen={},
+            updated_channels=None,
+        )
+        new_versions = dict(channel_versions)
+        parent_cfg = await saver.aput(
+            config, cp, generate_metadata(step=step), new_versions
+        )
+        stored.append(parent_cfg)
+
+        # Write a pending write for non-snapshot steps so the walk has
+        # something to collect.
+        if step not in snapshot_set:
+            await saver.aput_writes(
+                parent_cfg, [(channel, write_value_fn(step))], str(uuid4())
+            )
+
+    return stored

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

@@ -0,0 +1,247 @@
+"""DELTA_CHANNEL_HISTORY capability tests — aget_delta_channel_history 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_history_returns_writes_oldest_first(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Writes are returned oldest-to-newest."""
+    tid = str(uuid4())
+    # 5 steps: snapshot at 0, writes at 1,2,3,4.
+    # Head is step 4. Walk starts at step 3 (parent of head).
+    # Collects writes from steps 1,2,3 (between snapshot at 0 and head's parent).
+    configs = await build_delta_chain(
+        saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=5
+    )
+    head = configs[-1]
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    writes = result["ch"]["writes"]
+    values = [w[2] for w in writes]
+    assert values == [1, 2, 3], f"Expected [1,2,3], got {values}"
+
+
+async def test_history_seed_is_nearest_snapshot(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Seed is the value from the nearest ancestor with channel_values populated."""
+    tid = str(uuid4())
+    # 6 steps: snapshots at 0 and 3, writes at 1,2,4,5.
+    # Head is step 5. Walk from step 4 backward stops at step 3 (snapshot).
+    # Collects writes from step 4 only (between step 3 and head's parent step 4).
+    configs = await build_delta_chain(
+        saver,
+        thread_id=tid,
+        channel="ch",
+        snapshots_at_steps=[0, 3],
+        total_steps=6,
+    )
+    head = configs[-1]
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    assert "seed" in result["ch"], "Expected seed from snapshot at step 3"
+    seed = result["ch"]["seed"]
+    from langgraph.checkpoint.serde.types import _DeltaSnapshot
+
+    actual_value = seed.value if isinstance(seed, _DeltaSnapshot) else seed
+    assert actual_value == 3, f"Expected seed value 3 (step 3), got {actual_value}"
+    writes = result["ch"]["writes"]
+    values = [w[2] for w in writes]
+    assert values == [4], f"Expected [4], got {values}"
+
+
+async def test_history_excludes_target_pending_writes(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Target's own pending_writes are NOT included in the history."""
+    tid = str(uuid4())
+    configs = await build_delta_chain(
+        saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=3
+    )
+    head = configs[-1]
+    # Add writes directly to the head checkpoint
+    await saver.aput_writes(head, [("ch", "extra")], str(uuid4()))
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    writes = result["ch"]["writes"]
+    values = [w[2] for w in writes]
+    assert "extra" not in values, f"Target's writes should be excluded, got {values}"
+
+
+async def test_history_multi_channel(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Multiple channels have independent walk termination."""
+    tid = str(uuid4())
+    configs: list = []
+    parent_cfg = None
+    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
+
+    for step in range(5):
+        config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cv: dict = {}
+        cvs: dict = {}
+        if step == 1:
+            cv["a"] = _DeltaSnapshot("snap_a")
+            cvs["a"] = step + 1
+        if step == 3:
+            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)
+        await saver.aput_writes(parent_cfg, [("a", step), ("b", step)], str(uuid4()))
+
+    head = configs[-1]
+    result = await saver.aget_delta_channel_history(config=head, channels=["a", "b"])
+    a_writes = [w[2] for w in result["a"]["writes"]]
+    b_writes = [w[2] for w in result["b"]["writes"]]
+    assert a_writes == [1, 2, 3], f"Expected a writes [1,2,3], got {a_writes}"
+    assert b_writes == [3], f"Expected b writes [3], got {b_writes}"
+
+
+async def test_history_empty_channels_returns_empty(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Empty channels list returns empty mapping."""
+    tid = str(uuid4())
+    configs = await build_delta_chain(
+        saver, thread_id=tid, channel="ch", snapshots_at_steps=[0], total_steps=3
+    )
+    result = await saver.aget_delta_channel_history(config=configs[-1], channels=[])
+    assert result == {}
+
+
+async def test_history_walk_to_root_no_seed(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Walk reaches root without finding seed — no 'seed' key in result."""
+    tid = str(uuid4())
+    configs = await build_delta_chain(
+        saver,
+        thread_id=tid,
+        channel="ch",
+        snapshots_at_steps=[],
+        total_steps=4,
+    )
+    head = configs[-1]
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    assert "seed" not in result["ch"], f"Expected no seed, got {result['ch']}"
+
+
+async def test_history_migration_plain_value_as_seed(
+    saver: BaseCheckpointSaver,
+) -> None:
+    """Pre-delta plain value in channel_values acts as seed (migration case).
+
+    When a thread was originally using a regular channel (BinaryOperatorAggregate)
+    and later switches to DeltaChannel, the old checkpoint has a plain value in
+    channel_values[ch] (not a _DeltaSnapshot). The walk should treat it as the
+    seed and terminate there.
+    """
+    from langgraph.checkpoint.base import Checkpoint
+    from langgraph.checkpoint.base.id import uuid6
+
+    from langgraph.checkpoint.conformance.test_utils import generate_metadata
+
+    tid = str(uuid4())
+    configs: list = []
+    parent_cfg = None
+
+    for step in range(4):
+        config = {"configurable": {"thread_id": tid, "checkpoint_ns": ""}}
+        if parent_cfg:
+            config["configurable"]["checkpoint_id"] = parent_cfg["configurable"][
+                "checkpoint_id"
+            ]
+        cv: dict = {}
+        cvs: dict = {}
+        # Step 1: plain value (migration case — old checkpoint before delta)
+        if step == 1:
+            cv["ch"] = [10, 20, 30]
+            cvs["ch"] = 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)
+        if step != 1:
+            await saver.aput_writes(parent_cfg, [("ch", step)], str(uuid4()))
+
+    head = configs[-1]
+    result = await saver.aget_delta_channel_history(config=head, channels=["ch"])
+    # Seed should be the plain value from step 1
+    assert "seed" in result["ch"], "Expected seed from migration plain value at step 1"
+    seed = result["ch"]["seed"]
+    assert seed == [10, 20, 30], f"Expected plain value [10,20,30], got {seed}"
+    # Writes should be from step 2 only (between seed at step 1 and head's parent step 2)
+    writes = result["ch"]["writes"]
+    values = [w[2] for w in writes]
+    assert values == [2], f"Expected [2], got {values}"
+
+
+ALL_DELTA_CHANNEL_HISTORY_TESTS = [
+    test_history_returns_writes_oldest_first,
+    test_history_seed_is_nearest_snapshot,
+    test_history_excludes_target_pending_writes,
+    test_history_multi_channel,
+    test_history_empty_channels_returns_empty,
+    test_history_walk_to_root_no_seed,
+    test_history_migration_plain_value_as_seed,
+]
+
+
+async def run_delta_channel_history_tests(
+    saver: BaseCheckpointSaver,
+    on_test_result: Callable[[str, str, bool, str | None], None] | None = None,
+) -> tuple[int, int, list[str]]:
+    """Run all delta_channel_history tests. Returns (passed, failed, failure_names)."""
+    passed = 0
+    failed = 0
+    failures: list[str] = []
+    for test_fn in ALL_DELTA_CHANNEL_HISTORY_TESTS:
+        try:
+            await test_fn(saver)
+            passed += 1
+            if on_test_result:
+                on_test_result("delta_channel_history", 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_history",
+                    test_fn.__name__,
+                    False,
+                    traceback.format_exc(),
+                )
+    return passed, failed, failures

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

@@ -19,6 +19,9 @@ from langgraph.checkpoint.conformance.spec.test_delete_for_runs import (
 from langgraph.checkpoint.conformance.spec.test_delete_thread import (
     run_delete_thread_tests,
 )
+from langgraph.checkpoint.conformance.spec.test_delta_channel_history import (
+    run_delta_channel_history_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
@@ -35,6 +38,7 @@ _RUNNERS = {
     Capability.DELETE_FOR_RUNS: run_delete_for_runs_tests,
     Capability.COPY_THREAD: run_copy_thread_tests,
     Capability.PRUNE: run_prune_tests,
+    Capability.DELTA_CHANNEL_HISTORY: run_delta_channel_history_tests,
 }
 
 

libs/checkpoint-conformance/pyproject.toml

@@ -43,7 +43,11 @@ asyncio_mode = "auto"
 # The extended methods (acopy_thread, adelete_for_runs, aprune) are checked
 # at runtime via capability detection and may not exist on the installed
 # base class. Dict literal inference is also overly strict for RunnableConfig.
+# Delta-channel tests import from `langgraph` (not a declared dep of this
+# package — at test time it is installed alongside); private `_DeltaSnapshot`
+# imports are intentional (beta surface).
 unresolved-attribute = "ignore"
+unresolved-import = "ignore"
 invalid-argument-type = "ignore"
 invalid-return-type = "ignore"
 
@@ -58,6 +62,9 @@ lint.select = [
 lint.ignore = ["E501", "B008"]
 target-version = "py310"
 
+[tool.uv.sources]
+langgraph-checkpoint = {path = "../checkpoint", editable = true}
+
 [[tool.uv.index]]
 name = "testpypi"
 url = "https://test.pypi.org/simple/"

libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py

@@ -2,23 +2,23 @@ from __future__ import annotations
 
 import threading
 from collections import defaultdict
-from collections.abc import Iterator, Sequence
+from collections.abc import Iterator, Mapping, Sequence
 from contextlib import contextmanager
 from typing import Any, cast
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
-    DELTA_SENTINEL,
     WRITES_IDX_MAP,
     ChannelVersions,
     Checkpoint,
     CheckpointMetadata,
     CheckpointTuple,
-    _ChannelWritesHistory,
+    DeltaChannelHistory,
     get_checkpoint_id,
     get_serializable_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.base import SerializerProtocol
+from langgraph.checkpoint.serde.types import _DeltaSnapshot
 from psycopg import Capabilities, Connection, Cursor, Pipeline
 from psycopg.rows import DictRow, dict_row
 from psycopg.types.json import Jsonb
@@ -26,9 +26,11 @@ from psycopg_pool import ConnectionPool
 
 from langgraph.checkpoint.postgres import _internal
 from langgraph.checkpoint.postgres.base import (
-    SELECT_DELTA_COMBINED_SQL,
+    _DELTA_PAGE_SIZE,
     BasePostgresSaver,
-    _DeltaCombinedRow,
+    _build_delta_stage1_sql,
+    _build_delta_stage2_sql,
+    _DeltaStage2Row,
 )
 from langgraph.checkpoint.postgres.shallow import ShallowPostgresSaver
 
@@ -308,7 +310,10 @@ class PostgresSaver(BasePostgresSaver):
         # others are stored in blobs table
         blob_values = {}
         for k, v in checkpoint["channel_values"].items():
-            if v is None or isinstance(v, (str, int, float, bool)):
+            if isinstance(v, _DeltaSnapshot):
+                blob_values[k] = copy["channel_values"].pop(k)
+                copy["channel_values"][k] = True
+            elif v is None or isinstance(v, (str, int, float, bool)):
                 pass
             else:
                 blob_values[k] = copy["channel_values"].pop(k)
@@ -436,46 +441,112 @@ class PostgresSaver(BasePostgresSaver):
                 with conn.cursor(binary=True, row_factory=dict_row) as cur:
                     yield cur
 
-    def _get_channel_writes_history(
-        self, config: RunnableConfig, channel: str
-    ) -> _ChannelWritesHistory:
-        """Fast-path override of `BaseCheckpointSaver._get_channel_writes_history`.
+    def get_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.
 
-        One combined UNION ALL query (`SELECT_DELTA_COMBINED_SQL`) fetches rows
-        from `checkpoints`, `checkpoint_writes`, and `checkpoint_blobs` in a
-        single roundtrip; the ancestor walk runs in Python.
+        Two-stage query, both stages cover ALL requested channels:
+
+        * Stage 1 (paged): dynamic SELECT over `checkpoints` with K parallel
+          JSONB key lookups (one column pair per channel) — no subquery, no
+          aggregation. Pages newest-first by `checkpoint_id` with a cursor;
+          page size is `_DELTA_PAGE_SIZE`. Stops paging when every channel
+          has found its seed or the chain is exhausted.
+
+        * Stage 2 (per-channel UNION ALL): one branch per channel reading
+          `checkpoint_writes` filtered to that channel's specific
+          `chain_cids`, plus one branch per channel that has a seed reading
+          `checkpoint_blobs` for that channel + version. Avoids the
+          over-fetch of a single `channel = ANY(channels)` filter when
+          channels have different chain depths.
         """
+        if not channels:
+            return {}
+        channels = list(channels)
         thread_id = config["configurable"]["thread_id"]
         checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
         checkpoint_id = get_checkpoint_id(config)
         if checkpoint_id is None:
-            # Caller didn't specify a target — resolve to the latest
-            # checkpoint on the thread. `get_tuple` without `checkpoint_id`
-            # returns the newest; its config carries the resolved id.
             target = self.get_tuple(config)
             if target is None:
-                return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
+                return {ch: {"writes": []} for ch in channels}
             checkpoint_id = target.config["configurable"]["checkpoint_id"]
+
+        # Stage 1: paged K-JSONB-lookup scan, walking the parent chain in
+        # Python after each page. Stops as soon as every channel has its seed.
+        stage1_sql = _build_delta_stage1_sql(channels, paged=True)
+        parent_of: dict[str, str | None] = {}
+        ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
+        hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
+        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
+        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
+        walk_cursor_by_ch: dict[str, str | None] = {}
+        seeded: set[str] = set()
+        cursor: str | None = None
+
         with self._cursor() as cur:
-            cur.execute(
-                SELECT_DELTA_COMBINED_SQL,
-                (
-                    channel,
-                    thread_id,
-                    checkpoint_ns,
-                    thread_id,
-                    checkpoint_ns,
-                    channel,
-                    thread_id,
-                    checkpoint_ns,
-                    channel,
-                ),
-            )
-            rows = cur.fetchall()
-        return self._build_delta_channel_writes_history(
-            channel=channel,
-            target_id=checkpoint_id,
-            rows=cast("list[_DeltaCombinedRow]", rows),
+            while True:
+                stage1_params: list[Any] = []
+                for ch in channels:
+                    stage1_params.extend([ch, ch])
+                stage1_params.extend(
+                    [thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
+                )
+                cur.execute(stage1_sql, stage1_params)
+                page = cur.fetchall()
+                if not page:
+                    break
+                oldest = self._ingest_stage1_page(
+                    cast("list[Mapping[str, Any]]", page),
+                    channels,
+                    parent_of,
+                    ver_by_i_by_cid,
+                    hs_by_i_by_cid,
+                )
+                self._try_advance_walks(
+                    checkpoint_id,
+                    channels,
+                    parent_of,
+                    ver_by_i_by_cid,
+                    hs_by_i_by_cid,
+                    chain_by_ch,
+                    seed_ver_by_ch,
+                    walk_cursor_by_ch,
+                    seeded,
+                )
+                # Stop if every channel is seeded, or the page was short
+                # (chain exhausted — no more rows to fetch).
+                if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
+                    break
+                cursor = oldest
+
+        # Stage 2: per-channel UNION ALL — one writes branch per channel
+        # with non-empty chain, plus one blob branch per seeded channel.
+        channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
+        channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
+        stage2_sql = _build_delta_stage2_sql(
+            channels_with_chain=channels_with_chain,
+            channels_with_seed=channels_with_seed,
+        )
+
+        if stage2_sql:
+            stage2_params: list[Any] = []
+            for ch in channels_with_chain:
+                stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
+            for ch in channels_with_seed:
+                stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
+            with self._cursor() as cur:
+                cur.execute(stage2_sql, stage2_params)
+                stage2_rows = cur.fetchall()
+        else:
+            stage2_rows = []
+
+        return self._build_delta_channels_writes_history(
+            channels=channels,
+            chain_by_ch=chain_by_ch,
+            seed_ver_by_ch=seed_ver_by_ch,
+            stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
         )
 
     def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:

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

@@ -2,23 +2,23 @@ from __future__ import annotations
 
 import asyncio
 from collections import defaultdict
-from collections.abc import AsyncIterator, Iterator, Sequence
+from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
 from contextlib import asynccontextmanager
 from typing import Any, cast
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
-    DELTA_SENTINEL,
     WRITES_IDX_MAP,
     ChannelVersions,
     Checkpoint,
     CheckpointMetadata,
     CheckpointTuple,
-    _ChannelWritesHistory,
+    DeltaChannelHistory,
     get_checkpoint_id,
     get_serializable_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.base import SerializerProtocol
+from langgraph.checkpoint.serde.types import _DeltaSnapshot
 from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
 from psycopg.rows import DictRow, dict_row
 from psycopg.types.json import Jsonb
@@ -26,9 +26,11 @@ from psycopg_pool import AsyncConnectionPool
 
 from langgraph.checkpoint.postgres import _ainternal
 from langgraph.checkpoint.postgres.base import (
-    SELECT_DELTA_COMBINED_SQL,
+    _DELTA_PAGE_SIZE,
     BasePostgresSaver,
-    _DeltaCombinedRow,
+    _build_delta_stage1_sql,
+    _build_delta_stage2_sql,
+    _DeltaStage2Row,
 )
 from langgraph.checkpoint.postgres.shallow import AsyncShallowPostgresSaver
 
@@ -267,7 +269,10 @@ class AsyncPostgresSaver(BasePostgresSaver):
         # others are stored in blobs table
         blob_values = {}
         for k, v in checkpoint["channel_values"].items():
-            if v is None or isinstance(v, (str, int, float, bool)):
+            if isinstance(v, _DeltaSnapshot):
+                blob_values[k] = copy["channel_values"].pop(k)
+                copy["channel_values"][k] = True
+            elif v is None or isinstance(v, (str, int, float, bool)):
                 pass
             else:
                 blob_values[k] = copy["channel_values"].pop(k)
@@ -397,44 +402,95 @@ class AsyncPostgresSaver(BasePostgresSaver):
                 async with conn.cursor(binary=True, row_factory=dict_row) as cur:
                     yield cur
 
-    async def _aget_channel_writes_history(
-        self, config: RunnableConfig, channel: str
-    ) -> _ChannelWritesHistory:
-        """Fast-path override of `BaseCheckpointSaver._aget_channel_writes_history`.
+    async def aget_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
 
-        One combined UNION ALL query (`SELECT_DELTA_COMBINED_SQL`) fetches rows
-        from `checkpoints`, `checkpoint_writes`, and `checkpoint_blobs` in a
-        single roundtrip; rows are assembled by the shared pure helper on
-        `BasePostgresSaver`.
+        See `PostgresSaver.get_delta_channel_history` for design notes; this is
+        the async equivalent with internal stage-1 paging and per-channel
+        UNION ALL stage-2.
         """
+        if not channels:
+            return {}
+        channels = list(channels)
         thread_id = config["configurable"]["thread_id"]
         checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
         checkpoint_id = get_checkpoint_id(config)
         if checkpoint_id is None:
             target = await self.aget_tuple(config)
             if target is None:
-                return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
+                return {ch: {"writes": []} for ch in channels}
             checkpoint_id = target.config["configurable"]["checkpoint_id"]
+
+        stage1_sql = _build_delta_stage1_sql(channels, paged=True)
+        parent_of: dict[str, str | None] = {}
+        ver_by_i_by_cid: list[dict[str, str | None]] = [{} for _ in channels]
+        hs_by_i_by_cid: list[dict[str, bool]] = [{} for _ in channels]
+        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
+        seed_ver_by_ch: dict[str, str | None] = {ch: None for ch in channels}
+        walk_cursor_by_ch: dict[str, str | None] = {}
+        seeded: set[str] = set()
+        cursor: str | None = None
+
         async with self._cursor() as cur:
-            await cur.execute(
-                SELECT_DELTA_COMBINED_SQL,
-                (
-                    channel,
-                    thread_id,
-                    checkpoint_ns,
-                    thread_id,
-                    checkpoint_ns,
-                    channel,
-                    thread_id,
-                    checkpoint_ns,
-                    channel,
-                ),
-            )
-            rows = await cur.fetchall()
-        return self._build_delta_channel_writes_history(
-            channel=channel,
-            target_id=checkpoint_id,
-            rows=cast("list[_DeltaCombinedRow]", rows),
+            while True:
+                stage1_params: list[Any] = []
+                for ch in channels:
+                    stage1_params.extend([ch, ch])
+                stage1_params.extend(
+                    [thread_id, checkpoint_ns, cursor, cursor, _DELTA_PAGE_SIZE]
+                )
+                await cur.execute(stage1_sql, stage1_params)
+                page = await cur.fetchall()
+                if not page:
+                    break
+                oldest = self._ingest_stage1_page(
+                    cast("list[Mapping[str, Any]]", page),
+                    channels,
+                    parent_of,
+                    ver_by_i_by_cid,
+                    hs_by_i_by_cid,
+                )
+                self._try_advance_walks(
+                    checkpoint_id,
+                    channels,
+                    parent_of,
+                    ver_by_i_by_cid,
+                    hs_by_i_by_cid,
+                    chain_by_ch,
+                    seed_ver_by_ch,
+                    walk_cursor_by_ch,
+                    seeded,
+                )
+                if len(seeded) == len(channels) or len(page) < _DELTA_PAGE_SIZE:
+                    break
+                cursor = oldest
+
+        channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
+        channels_with_seed = [ch for ch in channels if seed_ver_by_ch[ch] is not None]
+        stage2_sql = _build_delta_stage2_sql(
+            channels_with_chain=channels_with_chain,
+            channels_with_seed=channels_with_seed,
+        )
+
+        if stage2_sql:
+            stage2_params: list[Any] = []
+            for ch in channels_with_chain:
+                stage2_params.extend([thread_id, checkpoint_ns, ch, chain_by_ch[ch]])
+            for ch in channels_with_seed:
+                stage2_params.extend([thread_id, checkpoint_ns, ch, seed_ver_by_ch[ch]])
+            async with self._cursor() as cur:
+                await cur.execute(stage2_sql, stage2_params)
+                stage2_rows = await cur.fetchall()
+        else:
+            stage2_rows = []
+
+        return self._build_delta_channels_writes_history(
+            channels=channels,
+            chain_by_ch=chain_by_ch,
+            seed_ver_by_ch=seed_ver_by_ch,
+            stage2_rows=cast("list[_DeltaStage2Row]", stage2_rows),
         )
 
     async def _load_checkpoint_tuple(self, value: DictRow) -> CheckpointTuple:

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

@@ -2,23 +2,26 @@ from __future__ import annotations
 
 import random
 import warnings
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
 from importlib.metadata import version as get_version
 from typing import Any, TypedDict, cast
 
 from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import (
-    DELTA_SENTINEL,
     WRITES_IDX_MAP,
     BaseCheckpointSaver,
     ChannelVersions,
+    DeltaChannelHistory,
     PendingWrite,
-    _ChannelWritesHistory,
     get_checkpoint_id,
 )
 from langgraph.checkpoint.serde.types import TASKS
 from psycopg.types.json import Jsonb
 
+# Page size for stage-1 paged scan in `get_delta_channel_history`. Internal
+# constant — exposing this as a kwarg is left as a follow-up.
+_DELTA_PAGE_SIZE = 1024
+
 MetadataInput = dict[str, Any] | None
 
 try:
@@ -156,60 +159,139 @@ INSERT_CHECKPOINT_WRITES_SQL = """
 """
 
 
-class _DeltaCombinedRow(TypedDict, total=False):
-    """One row from `SELECT_DELTA_COMBINED_SQL` (a UNION ALL of three tables).
+class _DeltaStage2Row(TypedDict, total=False):
+    """One row from `_build_delta_stage2_sql` (a UNION ALL of writes and blobs)."""
 
-    Every row carries `_kind` ("p" / "w" / "b") plus whichever columns are
-    relevant for that kind; irrelevant columns are NULL and typed as `None`.
-    """
-
-    _kind: str  # always present: "p", "w", or "b"
-    # checkpoint row ("p")
-    checkpoint_id: str | None
-    parent_checkpoint_id: str | None
-    ver: str | None
-    # write / blob rows ("w", "b")
+    _kind: str  # "w" or "b"
+    checkpoint_id: str | None  # "w" rows only
+    channel: str | None  # set on both "w" and "b" rows
     type: str | None
     blob: bytes | None
-    # write row only ("w")
-    task_id: str | None
-    idx: int | None
-    # blob row only ("b")
-    version: str | None
+    task_id: str | None  # "w" rows only
+    idx: int | None  # "w" rows only
+    version: str | None  # "b" rows only
 
 
-# DeltaChannel reconstruction: one UNION ALL query fetches checkpoints,
-# writes, and blobs for `channel` in one roundtrip; the ancestor walk runs
-# in Python in `_build_delta_channel_writes_history`.
+# Multi-channel two-stage DeltaChannel reconstruction.
 #
-# Parameter order: (channel, thread_id, checkpoint_ns,
-#                   thread_id, checkpoint_ns, channel,
-#                   thread_id, checkpoint_ns, channel)
-SELECT_DELTA_COMBINED_SQL = """
-    SELECT 'p'::text       AS _kind,
-           checkpoint_id,
-           parent_checkpoint_id,
-           checkpoint -> 'channel_versions' ->> %s AS ver,
-           NULL::text       AS type,
-           NULL::bytea      AS blob,
-           NULL::text       AS task_id,
-           NULL::int        AS idx,
-           NULL::text       AS version
-    FROM checkpoints
-    WHERE thread_id = %s AND checkpoint_ns = %s
-    UNION ALL
-    SELECT 'w',
-           checkpoint_id, NULL, NULL,
-           type, blob, task_id, idx, NULL
-    FROM checkpoint_writes
-    WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
-    UNION ALL
-    SELECT 'b',
-           NULL, NULL, NULL,
-           type, blob, NULL, NULL, version
-    FROM checkpoint_blobs
-    WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s
-"""
+# Stage 1 scans checkpoint metadata (no blob bytes) and emits one row per
+# checkpoint with K parallel JSONB key lookups (one column pair per
+# requested delta channel: ver_i / hs_i).  No subqueries, no aggregation.
+# Python walks the parent chain once across all channels.
+#
+# Stage 2 fetches all writes and the seed blobs for ALL channels in a
+# single roundtrip via `channel = ANY(%s)` and chain/seed-version
+# filtering.
+#
+# Empirical comparison vs an alternative "ship full channel_versions /
+# channel_values JSONB and let Python pick" form (1000 checkpoints,
+# 8 total channels in graph, 3 delta channels requested):
+#
+#   Postgres execution:    A=0.24ms vs B=0.38ms   (both negligible)
+#   End-to-end latency:    A=6.83ms vs B=2.28ms   (B is 3.0x faster)
+#   Wire payload:          A=836KB  vs B=330KB    (61% smaller)
+#   Buffer hits:           identical (167 blocks)
+#
+# B (this dynamic-columns design) wins because it avoids JSONB
+# serialization on the wire and JSONB-to-dict deserialization in
+# psycopg.  Even at K=8 (8 delta channels = 16 dynamic columns), B
+# still beats A end-to-end (4.2ms vs 6.8ms).
+
+
+def _build_delta_stage1_sql(channels: Sequence[str], *, paged: bool) -> str:
+    """Build stage 1 SQL with 2K parallel JSONB key lookups.
+
+    For channels=["messages", "files"] (with `paged=True`) the result is::
+
+        SELECT checkpoint_id, parent_checkpoint_id,
+               checkpoint -> 'channel_versions' ->> %s AS ver_0,
+               (checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_0,
+               checkpoint -> 'channel_versions' ->> %s AS ver_1,
+               (checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_1
+        FROM checkpoints
+        WHERE thread_id = %s AND checkpoint_ns = %s
+          AND (%s::text IS NULL OR checkpoint_id < %s)
+        ORDER BY checkpoint_id DESC
+        LIMIT %s
+
+    Channel names are passed as `%s` parameters (safe from SQL injection).
+    Only the column aliases `ver_i` / `hs_i` are interpolated into the
+    SQL string (i is bounded by len(channels) and uses safe identifiers).
+
+    Caller must extend params with `[ch_0, ch_0, ch_1, ch_1, ...,
+    thread_id, ns, cursor, cursor, page_size]` when `paged=True`.
+
+    When `paged=False`, the WHERE has no cursor predicate and there's no
+    LIMIT/ORDER BY — kept as a non-public helper for tests/diagnostics.
+    """
+    cols = []
+    for i in range(len(channels)):
+        cols.append(
+            f"checkpoint -> 'channel_versions' ->> %s AS ver_{i}, "
+            f"(checkpoint -> 'channel_values' -> %s) IS NOT NULL AS hs_{i}"
+        )
+    sql = (
+        "SELECT checkpoint_id, parent_checkpoint_id, "
+        + ", ".join(cols)
+        + " FROM checkpoints WHERE thread_id = %s AND checkpoint_ns = %s"
+    )
+    if paged:
+        sql += (
+            " AND (%s::text IS NULL OR checkpoint_id < %s)"
+            " ORDER BY checkpoint_id DESC LIMIT %s"
+        )
+    return sql
+
+
+def _build_delta_stage2_sql(
+    *,
+    channels_with_chain: Sequence[str],
+    channels_with_seed: Sequence[str],
+) -> str:
+    """Build stage 2 SQL as a per-channel UNION ALL.
+
+    For each channel with a non-empty chain, emit one branch reading
+    `checkpoint_writes` for that specific channel + chain_cids. For each
+    channel with a seed_version, emit one branch reading `checkpoint_blobs`
+    for that channel + version. This avoids the over-fetch of the prior
+    `channel = ANY(channels) AND checkpoint_id = ANY(union)` form when
+    channels have different chain depths.
+
+    The caller must pass parameters in matching order:
+
+        for ch in channels_with_chain:
+            params += [thread_id, checkpoint_ns, ch, chain_cids[ch]]
+        for ch in channels_with_seed:
+            params += [thread_id, checkpoint_ns, ch, seed_version[ch]]
+
+    Returns an empty SQL string if both channel lists are empty (caller
+    must skip executing in that case).
+    """
+    branches: list[str] = []
+    for _ in channels_with_chain:
+        branches.append(
+            "SELECT 'w'::text AS _kind, "
+            "checkpoint_id, channel, "
+            "type, blob, task_id, idx, NULL::text AS version "
+            "FROM checkpoint_writes "
+            "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
+            "AND checkpoint_id = ANY(%s)"
+        )
+    for _ in channels_with_seed:
+        branches.append(
+            "SELECT 'b'::text AS _kind, NULL::text AS checkpoint_id, channel, "
+            "type, blob, NULL::text AS task_id, NULL::int AS idx, version "
+            "FROM checkpoint_blobs "
+            "WHERE thread_id = %s AND checkpoint_ns = %s AND channel = %s "
+            "AND version = %s"
+        )
+    return " UNION ALL ".join(branches)
+
+
+# Stage 1 rows are dynamic-shape dicts: {checkpoint_id, parent_checkpoint_id,
+# ver_0, hs_0, ver_1, hs_1, ...}.  Walking is parameterized by the channel
+# list to map indices back to channel names — no static TypedDict here.
+# `dict[str, Any]` is the practical signature.
 
 
 class BasePostgresSaver(BaseCheckpointSaver[str]):
@@ -254,82 +336,145 @@ class BasePostgresSaver(BaseCheckpointSaver[str]):
             if t.decode() != "empty"
         }
 
-    def _build_delta_channel_writes_history(
+    @staticmethod
+    def _ingest_stage1_page(
+        stage1_rows: Sequence[Mapping[str, Any]],
+        channels: Sequence[str],
+        parent_of: dict[str, str | None],
+        ver_by_i_by_cid: list[dict[str, str | None]],
+        hs_by_i_by_cid: list[dict[str, bool]],
+    ) -> str | None:
+        """Fold one stage-1 page into the running walk-state mappings.
+
+        Returns the oldest checkpoint_id seen on this page (smallest, since
+        pages come back DESC). Caller uses it as the cursor for the next
+        page (`AND checkpoint_id < cursor`).
+        """
+        oldest: str | None = None
+        for r in stage1_rows:
+            cid = cast(str, r["checkpoint_id"])
+            parent_of[cid] = cast("str | None", r["parent_checkpoint_id"])
+            for i in range(len(channels)):
+                ver_by_i_by_cid[i][cid] = cast("str | None", r.get(f"ver_{i}"))
+                hs_by_i_by_cid[i][cid] = bool(r.get(f"hs_{i}"))
+            # Rows are DESC; the last one is the smallest cid in the page.
+            oldest = cid
+        return oldest
+
+    @staticmethod
+    def _try_advance_walks(
+        target_id: str,
+        channels: Sequence[str],
+        parent_of: Mapping[str, str | None],
+        ver_by_i_by_cid: Sequence[Mapping[str, str | None]],
+        hs_by_i_by_cid: Sequence[Mapping[str, bool]],
+        chain_by_ch: dict[str, list[str]],
+        seed_ver_by_ch: dict[str, str | None],
+        walk_cursor_by_ch: dict[str, str | None],
+        seeded: set[str],
+    ) -> None:
+        """Advance each not-yet-seeded channel's walk as far as possible.
+
+        Uses the partial `parent_of` map accumulated so far. A walk stops
+        either because:
+          (a) it found a snapshot for its channel (channel becomes seeded),
+          (b) it reached a real root (parent_of[cid] is None — fully
+              materialized at this point), or
+          (c) the next ancestor cid isn't in `parent_of` yet (waiting for
+              a later page; the cursor stays put).
+
+        Mutates `chain_by_ch`, `seed_ver_by_ch`, `walk_cursor_by_ch`, and
+        `seeded` in place.
+        """
+        for i, ch in enumerate(channels):
+            if ch in seeded:
+                continue
+            # First-time entry: cursor starts at the target's parent.
+            if ch not in walk_cursor_by_ch:
+                walk_cursor_by_ch[ch] = parent_of.get(target_id)
+            cur_cid = walk_cursor_by_ch[ch]
+            ch_chain = chain_by_ch[ch]
+            hs_i = hs_by_i_by_cid[i]
+            ver_i = ver_by_i_by_cid[i]
+            while cur_cid is not None:
+                if cur_cid not in parent_of:
+                    # Need more pages to continue this walk.
+                    break
+                ch_chain.append(cur_cid)
+                if hs_i.get(cur_cid, False):
+                    seed_ver_by_ch[ch] = ver_i.get(cur_cid)
+                    seeded.add(ch)
+                    cur_cid = None
+                    break
+                cur_cid = parent_of[cur_cid]
+            walk_cursor_by_ch[ch] = cur_cid
+
+    def _build_delta_channels_writes_history(
         self,
         *,
-        channel: str,
-        target_id: str,
-        rows: Sequence[_DeltaCombinedRow],
-    ) -> _ChannelWritesHistory:
-        """Reconstruct one delta channel's history from the combined UNION ALL rows.
+        channels: Sequence[str],
+        chain_by_ch: Mapping[str, list[str]],
+        seed_ver_by_ch: Mapping[str, str | None],
+        stage2_rows: Sequence[_DeltaStage2Row],
+    ) -> dict[str, DeltaChannelHistory]:
+        """Demux stage 2 rows per channel; produce per-channel histories.
 
-        Pure data transform shared by sync (`PostgresSaver`) and async
-        (`AsyncPostgresSaver`); both paths run `SELECT_DELTA_COMBINED_SQL`
-        and feed the tagged rows here.
-
-        Walk is newest → oldest from the target's parent. A non-sentinel
-        blob in `checkpoint_blobs` (a pre-delta snapshot) terminates the
-        walk and is returned as the seed so replay starts from it.
-
-        Writes stored at `target_id` itself are pending writes for the next
-        step and are excluded — the walk begins at the target's parent.
+        stage2_rows carry `channel` on every row. We build per-channel
+        `writes_by_cid` and per-channel `seed_blob` dicts, then assemble
+        a `DeltaChannelHistory` per requested channel. The `seed` key is omitted
+        when the walk reached root with no snapshot found, or when the
+        seed blob is sentinel "empty" — in both cases the consumer treats
+        absence as "start empty".
         """
-        parent_of: dict[str, str | None] = {}
-        ver_of: dict[str, str | None] = {}
-        writes_by_cid: dict[str, list[tuple[str, bytes, str, int]]] = {}
-        blob_by_ver: dict[str, tuple[str, bytes]] = {}
+        # writes_by_ch_by_cid[channel][cid] = list of (type, blob, task_id, idx)
+        writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
+            ch: {} for ch in channels
+        }
+        # seed_blob_by_ver[(channel, version)] = (type, blob)
+        seed_blob_by_ver: dict[tuple[str, str], tuple[str, bytes]] = {}
 
-        for r in rows:
+        for r in stage2_rows:
+            ch = cast(str, r["channel"])
             kind = r["_kind"]
-            if kind == "p":
+            if kind == "w":
                 cid = cast(str, r["checkpoint_id"])
-                parent_of[cid] = r["parent_checkpoint_id"]
-                ver_of[cid] = r["ver"]
-            elif kind == "w":
-                cid = cast(str, r["checkpoint_id"])
-                writes_by_cid.setdefault(cid, []).append(
+                writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
                     cast(
                         "tuple[str, bytes, str, int]",
                         (r["type"], r["blob"], r["task_id"], r["idx"]),
                     )
                 )
             else:  # kind == "b"
-                blob_by_ver[cast(str, r["version"])] = cast(
+                ver = cast(str, r["version"])
+                seed_blob_by_ver[(ch, ver)] = cast(
                     "tuple[str, bytes]", (r["type"], r["blob"])
                 )
 
-        # newest write first per ancestor (task_id DESC, idx DESC)
-        for ws in writes_by_cid.values():
-            ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
+        # Sort writes per (channel, cid) newest-first by (task_id, idx)
+        for cid_map in writes_by_ch_by_cid.values():
+            for ws in cid_map.values():
+                ws.sort(key=lambda w: (w[2], w[3]), reverse=True)
 
-        ancestors: list[str] = []
-        cur_cid: str | None = parent_of.get(target_id)
-        while cur_cid is not None:
-            ancestors.append(cur_cid)
-            cur_cid = parent_of.get(cur_cid)
-        if not ancestors:
-            return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=[])
+        result: dict[str, DeltaChannelHistory] = {}
+        for ch in channels:
+            chain_cids = chain_by_ch.get(ch, [])
+            seed_version = seed_ver_by_ch.get(ch)
 
-        collected: list[PendingWrite] = []  # newest first; reversed at the end
-        for cid in ancestors:
-            # Collect writes first — they encode the transition FROM this
-            # ancestor's state to its child's and must be included even if
-            # this ancestor is also the seed checkpoint.
-            for type_tag, write_blob, task_id, _idx in writes_by_cid.get(cid, []):
-                val = self.serde.loads_typed((type_tag, write_blob))
-                collected.append((task_id, channel, val))
-            # Then check seed terminator.
-            ver = ver_of.get(cid)
-            if ver is not None:
-                seed_blob = blob_by_ver.get(ver)
-                if seed_blob is not None and seed_blob[0] != "empty":
-                    blob_value = self.serde.loads_typed(seed_blob)
-                    if blob_value is not DELTA_SENTINEL:
-                        collected.reverse()
-                        return _ChannelWritesHistory(seed=blob_value, writes=collected)
+            collected: list[PendingWrite] = []
+            cid_writes = writes_by_ch_by_cid.get(ch, {})
+            for cid in chain_cids:
+                for type_tag, write_blob, task_id, _idx in cid_writes.get(cid, []):
+                    val = self.serde.loads_typed((type_tag, write_blob))
+                    collected.append((task_id, ch, val))
+            collected.reverse()
 
-        collected.reverse()  # oldest → newest
-        return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
+            entry: DeltaChannelHistory = {"writes": collected}
+            if seed_version is not None:
+                blob = seed_blob_by_ver.get((ch, seed_version))
+                if blob is not None and blob[0] != "empty":
+                    entry["seed"] = self.serde.loads_typed(blob)
+            result[ch] = entry
+        return result
 
     def _dump_blobs(
         self,

libs/checkpoint-postgres/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-postgres"
-version = "3.0.5"
+version = "3.1.0"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-  "langgraph-checkpoint>=4.0.3,<5.0.0",
+  "langgraph-checkpoint>=4.1.0,<5.0.0",
   "orjson>=3.11.5",
   "psycopg>=3.2.0",
   "psycopg-pool>=3.2.0",

libs/checkpoint-postgres/uv.lock

@@ -1,6 +1,10 @@
 version = 1
 revision = 3
 requires-python = ">=3.10"
+resolution-markers = [
+    "python_full_version >= '3.15'",
+    "python_full_version < '3.15'",
+]
 
 [[package]]
 name = "annotated-types"
@@ -201,11 +205,11 @@ wheels = [
 
 [[package]]
 name = "idna"
-version = "3.11"
+version = "3.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/82/77/7b3966d0b9d1d31a36ddf1746926a11dface89a83409bf1483f0237aa758/idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc", size = 199245, upload-time = "2026-05-12T22:45:57.011Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/23/408243171aa9aaba178d3e2559159c24c1171a641aa83b67bdd3394ead8e/idna-3.15-py3-none-any.whl", hash = "sha256:048adeaf8c2d788c40fee287673ccaa74c24ffd8dcf09ffa555a2fbb59f10ac8", size = 72340, upload-time = "2026-05-12T22:45:55.733Z" },
 ]
 
 [[package]]
@@ -240,10 +244,11 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
+    { name = "langchain-protocol" },
     { name = "langsmith" },
     { name = "packaging" },
     { name = "pydantic" },
@@ -252,14 +257,26 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
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 import random
 import sqlite3
 import threading
-from collections.abc import AsyncIterator, Iterator, Sequence
+from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
 from contextlib import closing, contextmanager
 from typing import Any, cast
 
@@ -16,12 +16,19 @@ from langgraph.checkpoint.base import (
     Checkpoint,
     CheckpointMetadata,
     CheckpointTuple,
+    DeltaChannelHistory,
     SerializerProtocol,
     get_checkpoint_id,
     get_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
 
+from langgraph.checkpoint.sqlite._delta import (
+    DELTA_STAGE1_SQL,
+    build_delta_channels_writes_history,
+    build_delta_stage2_sql,
+    step_walk_with_row,
+)
 from langgraph.checkpoint.sqlite.utils import search_where
 
 _AIO_ERROR_MSG = (
@@ -493,6 +500,88 @@ class SqliteSaver(BaseCheckpointSaver[str]):
                 (str(thread_id),),
             )
 
+    def get_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Fast-path override of `BaseCheckpointSaver.get_delta_channel_history`.
+
+        Two-stage query:
+
+        * Stage 1 (paged): newest-first slice of `checkpoints` returning
+          `(checkpoint_id, parent_checkpoint_id, type, checkpoint)` per
+          ancestor. Sqlite has no JSONB, so we ship the full serialized
+          checkpoint blob and inspect `channel_values` in Python. Pages
+          newest-first by `checkpoint_id` with a `< cursor` predicate;
+          page size is `DELTA_PAGE_SIZE`. Stops paging when every channel
+          has found its seed or the chain is exhausted.
+
+        * Stage 2 (per-channel UNION ALL): one branch per channel reading
+          `writes` filtered to that channel's specific `chain_cids`. No
+          separate seed-blob fetch — sqlite stores `channel_values` inline
+          in the checkpoint blob, so seeds come back from stage 1.
+        """
+        if not channels:
+            return {}
+        channels = list(channels)
+        thread_id = str(config["configurable"]["thread_id"])
+        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
+        checkpoint_id = get_checkpoint_id(config)
+        if checkpoint_id is None:
+            target = self.get_tuple(config)
+            if target is None:
+                return {ch: {"writes": []} for ch in channels}
+            checkpoint_id = target.config["configurable"]["checkpoint_id"]
+
+        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
+        seed_val_by_ch: dict[str, Any] = {}
+        walk_state: dict[str, Any] = {}
+        seeded: set[str] = set()
+
+        with self.cursor(transaction=False) as cur:
+            cur.execute(DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id))
+            for row in cur:
+                cid, parent_cid, type_tag, blob = row
+                if step_walk_with_row(
+                    cid=cid,
+                    parent_cid=parent_cid,
+                    type_tag=type_tag,
+                    blob=blob,
+                    target_id=checkpoint_id,
+                    serde=self.serde,
+                    chain_by_ch=chain_by_ch,
+                    seed_val_by_ch=seed_val_by_ch,
+                    walk_state=walk_state,
+                    seeded=seeded,
+                    channels=channels,
+                ):
+                    break
+
+            channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
+            stage2_sql = build_delta_stage2_sql(
+                chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
+            )
+            if stage2_sql:
+                stage2_params: list[Any] = []
+                for ch in channels_with_chain:
+                    stage2_params.extend(
+                        [thread_id, checkpoint_ns, ch, *chain_by_ch[ch]]
+                    )
+                cur.execute(stage2_sql, stage2_params)
+                stage2_rows = cast(
+                    "list[tuple[str, str, str, int, str, bytes]]", cur.fetchall()
+                )
+            else:
+                stage2_rows = []
+
+        return build_delta_channels_writes_history(
+            channels=channels,
+            chain_by_ch=chain_by_ch,
+            seed_val_by_ch=seed_val_by_ch,
+            seeded=seeded,
+            stage2_rows=stage2_rows,
+            serde=self.serde,
+        )
+
     async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the database asynchronously.
 

libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/_delta.py

@@ -0,0 +1,172 @@
+"""Shared helpers for `get_delta_channel_history` on sqlite savers.
+
+Mirrors the two-stage shape of `BasePostgresSaver` (ancestor walk +
+per-channel UNION ALL writes fetch), but adapted for sqlite's
+constraints. The structural differences:
+
+* No JSONB — to inspect `channel_values` for a checkpoint we must
+  deserialize the full blob. Stage 1 streams the cursor row-by-row and
+  deserializes only the rows the merged walk visits, freeing each blob
+  before advancing.
+* No separate blob table — `channel_values` lives inline in the
+  checkpoint, so seeds come back from stage 1 with no second fetch.
+* Single merged walk (not K independent walks): each visited cid is
+  deserialized exactly once, regardless of how many channels are still
+  seeking their seed.
+
+The streaming design keeps peak in-flight memory at roughly one
+deserialized checkpoint at a time, instead of holding the entire
+ancestor chain's worth of raw blobs as a `fetchall()`-materialized list.
+"""
+
+from __future__ import annotations
+
+from collections.abc import Mapping, Sequence
+from typing import Any
+
+from langgraph.checkpoint.base import DeltaChannelHistory, PendingWrite
+
+# Stage 1 streams ancestors of `target_cid` newest-first. The `<=`
+# predicate keeps target itself in the stream so we can read its
+# `parent_checkpoint_id` from the first row without a separate lookup;
+# the caller skips target's own writes/seed (matches the
+# `BaseCheckpointSaver` contract).
+DELTA_STAGE1_SQL = (
+    "SELECT checkpoint_id, parent_checkpoint_id, type, checkpoint "
+    "FROM checkpoints "
+    "WHERE thread_id = ? AND checkpoint_ns = ? AND checkpoint_id <= ? "
+    "ORDER BY checkpoint_id DESC"
+)
+
+
+def build_delta_stage2_sql(*, chain_lens: Sequence[int]) -> str:
+    """Stage-2 per-channel UNION ALL fetching writes from `writes`.
+
+    One branch per channel with a non-empty chain. Each branch inlines its
+    own `IN (?, ?, ...)` placeholder list because sqlite has no array-bind
+    equivalent of postgres's `= ANY(%s)`. Caller passes parameters in
+    matching order: `[thread_id, checkpoint_ns, channel, *chain_cids]` per
+    branch.
+
+    Returns an empty string when no channel has a chain (caller skips
+    executing in that case). Per-channel UNION ALL avoids the over-fetch
+    of a single `channel = ANY(channels)` filter when channels have
+    different chain depths — same rationale as postgres.
+    """
+    branches: list[str] = []
+    for n in chain_lens:
+        cid_placeholders = ",".join("?" * n)
+        branches.append(
+            "SELECT checkpoint_id, channel, task_id, idx, type, value "
+            "FROM writes "
+            "WHERE thread_id = ? AND checkpoint_ns = ? AND channel = ? "
+            f"AND checkpoint_id IN ({cid_placeholders})"
+        )
+    return " UNION ALL ".join(branches)
+
+
+def step_walk_with_row(
+    *,
+    cid: str,
+    parent_cid: str | None,
+    type_tag: str,
+    blob: bytes,
+    target_id: str,
+    serde: Any,
+    chain_by_ch: dict[str, list[str]],
+    seed_val_by_ch: dict[str, Any],
+    walk_state: dict[str, Any],
+    seeded: set[str],
+    channels: Sequence[str],
+) -> bool:
+    """Process one streamed stage-1 row in the merged ancestor walk.
+
+    The cursor returns (cid, parent_cid, type, blob) rows in
+    `checkpoint_id` DESC order starting at target. The first row is
+    target itself; we read its parent_cid to seed the walk and otherwise
+    skip it (target's own writes/seed are not part of the contract).
+
+    For each subsequent row, if `cid` matches the walk's current
+    position, we deserialize the blob, append the cid to every
+    not-yet-seeded channel's chain, and check `channel_values` for
+    seeds. The deserialized checkpoint is dropped before advancing — no
+    cross-row cache, so peak in-flight is one deserialized checkpoint.
+
+    Off-path rows (different branch on the same thread) advance the
+    cursor without doing any work.
+
+    Returns True when every requested channel is seeded — the caller
+    can stop iterating and close the cursor.
+    """
+    if "started" not in walk_state:
+        if cid == target_id:
+            walk_state["started"] = True
+            walk_state["cur_cid"] = parent_cid
+            walk_state["active"] = {ch for ch in channels if ch not in seeded}
+        # Not target yet (or target not present): keep streaming.
+        return False
+    active: set[str] = walk_state["active"]
+    if not active:
+        return True
+    if cid != walk_state["cur_cid"]:
+        # Off-path row from a sibling branch — skip without deserializing.
+        return False
+    for ch in active:
+        chain_by_ch[ch].append(cid)
+    ckpt = serde.loads_typed((type_tag, blob))
+    channel_values: Mapping[str, Any] = ckpt.get("channel_values") or {}
+    for ch in [ch for ch in active if ch in channel_values]:
+        seed_val_by_ch[ch] = channel_values[ch]
+        seeded.add(ch)
+        active.discard(ch)
+    del ckpt, channel_values
+    walk_state["cur_cid"] = parent_cid
+    return not active
+
+
+def build_delta_channels_writes_history(
+    *,
+    channels: Sequence[str],
+    chain_by_ch: Mapping[str, list[str]],
+    seed_val_by_ch: Mapping[str, Any],
+    seeded: set[str],
+    stage2_rows: Sequence[tuple[str, str, str, int, str, bytes]],
+    serde: Any,
+) -> dict[str, DeltaChannelHistory]:
+    """Demux stage-2 rows per channel; produce per-channel histories.
+
+    Stage-2 rows are `(checkpoint_id, channel, task_id, idx, type, value)`.
+    Final write order is oldest→newest globally and `(task_id, idx)` within
+    a checkpoint, matching the contract on `DeltaChannelHistory.writes`.
+
+    `seed` is omitted when the walk reached a true root with no snapshot
+    found (channel never entered `seeded`); consumers treat absence as
+    "start empty".
+    """
+    writes_by_ch_by_cid: dict[str, dict[str, list[tuple[str, bytes, str, int]]]] = {
+        ch: {} for ch in channels
+    }
+    for cid, ch, task_id, idx, type_tag, value_blob in stage2_rows:
+        writes_by_ch_by_cid.setdefault(ch, {}).setdefault(cid, []).append(
+            (type_tag, value_blob, task_id, idx)
+        )
+    for cid_map in writes_by_ch_by_cid.values():
+        for ws in cid_map.values():
+            ws.sort(key=lambda w: (w[2], w[3]))
+
+    result: dict[str, DeltaChannelHistory] = {}
+    for ch in channels:
+        chain_cids = chain_by_ch.get(ch, [])
+        cid_writes = writes_by_ch_by_cid.get(ch, {})
+        collected: list[PendingWrite] = []
+        # Chain is newest-first; iterate oldest-first for the public order.
+        for cid in reversed(chain_cids):
+            for type_tag, value_blob, task_id, _idx in cid_writes.get(cid, []):
+                collected.append(
+                    (task_id, ch, serde.loads_typed((type_tag, value_blob)))
+                )
+        entry: DeltaChannelHistory = {"writes": collected}
+        if ch in seeded:
+            entry["seed"] = seed_val_by_ch[ch]
+        result[ch] = entry
+    return result

libs/checkpoint-sqlite/langgraph/checkpoint/sqlite/aio.py

@@ -4,7 +4,7 @@ import asyncio
 import json
 import random
 import threading
-from collections.abc import AsyncIterator, Callable, Iterator, Sequence
+from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
 from contextlib import asynccontextmanager
 from typing import Any, TypeVar, cast
 
@@ -17,12 +17,19 @@ from langgraph.checkpoint.base import (
     Checkpoint,
     CheckpointMetadata,
     CheckpointTuple,
+    DeltaChannelHistory,
     SerializerProtocol,
     get_checkpoint_id,
     get_checkpoint_metadata,
 )
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
 
+from langgraph.checkpoint.sqlite._delta import (
+    DELTA_STAGE1_SQL,
+    build_delta_channels_writes_history,
+    build_delta_stage2_sql,
+    step_walk_with_row,
+)
 from langgraph.checkpoint.sqlite.utils import search_where
 
 T = TypeVar("T", bound=Callable)
@@ -272,6 +279,29 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             self.adelete_thread(thread_id), self.loop
         ).result()
 
+    def get_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Sync bridge to `aget_delta_channel_history`.
+
+        Mirrors the same cross-thread guard as `get_tuple` /
+        `delete_thread` — calling from the loop thread raises rather than
+        deadlocking.
+        """
+        try:
+            if asyncio.get_running_loop() is self.loop:
+                raise asyncio.InvalidStateError(
+                    "Synchronous calls to AsyncSqliteSaver are only allowed from a "
+                    "different thread. From the main thread, use the async interface. "
+                    "For example, use `await checkpointer.aget_delta_channel_history(...)`."
+                )
+        except RuntimeError:
+            pass
+        return asyncio.run_coroutine_threadsafe(
+            self.aget_delta_channel_history(config=config, channels=channels),
+            self.loop,
+        ).result()
+
     async def setup(self) -> None:
         """Set up the checkpoint database asynchronously.
 
@@ -589,6 +619,83 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
             )
             await self.conn.commit()
 
+    async def aget_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Fast-path override of `BaseCheckpointSaver.aget_delta_channel_history`.
+
+        See `SqliteSaver.get_delta_channel_history` for design notes; this
+        is the async equivalent using `aiosqlite` cursors. Stage 1 pages
+        the parent chain newest-first and Python-deserializes each
+        checkpoint blob to find per-channel snapshots; stage 2 fetches
+        only the relevant writes via per-channel UNION ALL.
+        """
+        if not channels:
+            return {}
+        channels = list(channels)
+        await self.setup()
+        thread_id = str(config["configurable"]["thread_id"])
+        checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
+        checkpoint_id = get_checkpoint_id(config)
+        if checkpoint_id is None:
+            target = await self.aget_tuple(config)
+            if target is None:
+                return {ch: {"writes": []} for ch in channels}
+            checkpoint_id = target.config["configurable"]["checkpoint_id"]
+
+        chain_by_ch: dict[str, list[str]] = {ch: [] for ch in channels}
+        seed_val_by_ch: dict[str, Any] = {}
+        walk_state: dict[str, Any] = {}
+        seeded: set[str] = set()
+
+        async with self.lock, self.conn.cursor() as cur:
+            await cur.execute(
+                DELTA_STAGE1_SQL, (thread_id, checkpoint_ns, checkpoint_id)
+            )
+            async for row in cur:
+                cid, parent_cid, type_tag, blob = row
+                if step_walk_with_row(
+                    cid=cid,
+                    parent_cid=parent_cid,
+                    type_tag=type_tag,
+                    blob=blob,
+                    target_id=checkpoint_id,
+                    serde=self.serde,
+                    chain_by_ch=chain_by_ch,
+                    seed_val_by_ch=seed_val_by_ch,
+                    walk_state=walk_state,
+                    seeded=seeded,
+                    channels=channels,
+                ):
+                    break
+
+            channels_with_chain = [ch for ch in channels if chain_by_ch[ch]]
+            stage2_sql = build_delta_stage2_sql(
+                chain_lens=[len(chain_by_ch[ch]) for ch in channels_with_chain],
+            )
+            if stage2_sql:
+                stage2_params: list[Any] = []
+                for ch in channels_with_chain:
+                    stage2_params.extend(
+                        [thread_id, checkpoint_ns, ch, *chain_by_ch[ch]]
+                    )
+                await cur.execute(stage2_sql, stage2_params)
+                stage2_rows = cast(
+                    "list[tuple[str, str, str, int, str, bytes]]",
+                    await cur.fetchall(),
+                )
+            else:
+                stage2_rows = []
+
+        return build_delta_channels_writes_history(
+            channels=channels,
+            chain_by_ch=chain_by_ch,
+            seed_val_by_ch=seed_val_by_ch,
+            seeded=seeded,
+            stage2_rows=stage2_rows,
+            serde=self.serde,
+        )
+
     def get_next_version(self, current: str | None, channel: None) -> str:
         """Generate the next version ID for a channel.
 

libs/checkpoint-sqlite/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint-sqlite"
-version = "3.0.3"
+version = "3.1.0"
 description = "Library with a SQLite implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.10"
@@ -12,7 +12,7 @@ readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
 dependencies = [
-    "langgraph-checkpoint>=3,<5.0.0",
+    "langgraph-checkpoint>=4.1.0,<5.0.0",
     "aiosqlite>=0.20",
     "sqlite-vec>=0.1.6",
 ]

libs/checkpoint-sqlite/tests/test_conformance_delta.py

@@ -0,0 +1,35 @@
+"""Run delta-channel conformance capabilities against AsyncSqliteSaver."""
+
+from __future__ import annotations
+
+import pytest
+
+pytest.importorskip(
+    "langgraph.checkpoint.conformance",
+    reason="langgraph-checkpoint-conformance not installed",
+)
+pytest.importorskip("aiosqlite", reason="aiosqlite not installed")
+
+
+@pytest.mark.asyncio
+async def test_delta_channel_conformance():
+    from langgraph.checkpoint.conformance import validate
+    from langgraph.checkpoint.conformance.initializer import checkpointer_test
+
+    from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
+
+    @checkpointer_test(name="AsyncSqliteSaver")
+    async def sqlite_saver():
+        async with AsyncSqliteSaver.from_conn_string(":memory:") as saver:
+            yield saver
+
+    report = await validate(
+        sqlite_saver,
+        capabilities={
+            "delta_channel_history",
+        },
+    )
+    for cap, result in report.results.items():
+        if result.passed is False:
+            details = "\n".join(result.failures or [])
+            pytest.fail(f"Capability {cap} failed:\n{details}")

libs/checkpoint-sqlite/tests/test_delta_channel_migration.py

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

libs/checkpoint-sqlite/tests/test_get_delta_channel_history.py

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

libs/checkpoint-sqlite/uv.lock

@@ -1,6 +1,10 @@
 version = 1
 revision = 3
 requires-python = ">=3.10"
+resolution-markers = [
+    "python_full_version >= '3.15'",
+    "python_full_version < '3.15'",
+]
 
 [[package]]
 name = "aiosqlite"
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+version = "3.15"
 source = { registry = "https://pypi.org/simple" }
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 [[package]]
@@ -249,10 +253,11 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
+    { name = "langchain-protocol" },
     { name = "langsmith" },
     { name = "packaging" },
     { name = "pydantic" },
@@ -261,14 +266,26 @@ dependencies = [
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 ]
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+]
+
+[[package]]
+name = "langchain-protocol"
+version = "0.0.15"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions" },
+]
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+wheels = [
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 [[package]]
 name = "langgraph-checkpoint"
-version = "4.0.3"
+version = "4.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
     { name = "langchain-core" },
@@ -316,7 +333,7 @@ test = [
 
 [[package]]
 name = "langgraph-checkpoint-sqlite"
-version = "3.0.3"
+version = "3.1.0"
 source = { editable = "." }
 dependencies = [
     { name = "aiosqlite" },
@@ -385,7 +402,7 @@ test = [
 
 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.8.0"
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 [[package]]
@@ -1144,11 +1161,11 @@ wheels = [
 
 [[package]]
 name = "urllib3"
-version = "2.6.3"
+version = "2.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
 ]
 
 [[package]]

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

@@ -13,14 +13,12 @@ from typing import (
 )
 
 from langchain_core.runnables import RunnableConfig
+from typing_extensions import NotRequired
 
 from langgraph.checkpoint.base.id import uuid6
 from langgraph.checkpoint.serde.base import SerializerProtocol, maybe_add_typed_methods
 from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
 from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
-from langgraph.checkpoint.serde.types import (
-    DELTA_SENTINEL as DELTA_SENTINEL,
-)
 from langgraph.checkpoint.serde.types import (
     ERROR,
     INTERRUPT,
@@ -62,6 +60,30 @@ 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.
+
+    !!! 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).
+    """
 
 
 ChannelVersions = dict[str, str | int | float]
@@ -124,28 +146,31 @@ class CheckpointTuple(NamedTuple):
     pending_writes: list[PendingWrite] | None = None
 
 
-class _ChannelWritesHistory(NamedTuple):
-    """Result of `BaseCheckpointSaver._get_channel_writes_history`.
+class DeltaChannelHistory(TypedDict):
+    """Per-channel result entry from `BaseCheckpointSaver.get_delta_channel_history`.
 
-    Storage-level view of what one channel wrote across the ancestor chain
-    of a target checkpoint:
+    !!! warning "Beta"
 
-      * `seed` — the nearest ancestor's stored blob value for this channel,
-        or `DELTA_SENTINEL` if the walk reached the root without finding a
-        stored value. A non-sentinel seed typically indicates a pre-delta
-        snapshot preserved across a channel-type migration (e.g.
-        `BinaryOperatorAggregate` storage extended under `DeltaChannel`).
-      * `writes` — on-path deltas oldest→newest, one `PendingWrite` per
-        step that wrote to this channel. Writes stored at the target
-        checkpoint itself are pending for the next super-step and are
-        excluded.
+        Part of the `DeltaChannel` support surface; in beta. Field names and
+        semantics may change.
 
-    Experimental: method surface may change; the NamedTuple shape is the
-    contract.
+    Storage-level view of what one channel contributed across the ancestor
+    chain of a target checkpoint:
+
+    * `writes` — on-path deltas oldest→newest as `PendingWrite` tuples.
+      Always present; possibly empty. Already filtered to one channel.
+      Writes stored at the target checkpoint itself are pending for the
+      next super-step and are excluded.
+    * `seed` — the stored value at the nearest ancestor whose
+      `channel_values[ch]` is populated. Omitted if the walk reached the
+      root without finding any stored value (consumer treats absence as
+      "start empty"). Typically a `_DeltaSnapshot` for delta channels with
+      finite snapshot frequency, or a plain value for threads migrated
+      from a pre-delta channel type.
     """
 
-    seed: Any
     writes: list[PendingWrite]
+    seed: NotRequired[Any]
 
 
 class BaseCheckpointSaver(Generic[V]):
@@ -311,6 +336,14 @@ class BaseCheckpointSaver(Generic[V]):
 
         Args:
             run_ids: The run IDs whose checkpoints should be deleted.
+
+        !!! warning "DeltaChannel"
+
+            Deleting a run that produced ancestor `checkpoint_writes` — or
+            the only `_DeltaSnapshot` blob — for a still-live thread will
+            break reconstruction of any `DeltaChannel` whose history
+            depended on those rows. See the `DeltaChannel` note on `prune`
+            for safe-recovery strategies.
         """
         raise NotImplementedError
 
@@ -324,6 +357,17 @@ class BaseCheckpointSaver(Generic[V]):
         Args:
             source_thread_id: The thread ID to copy from.
             target_thread_id: The thread ID to copy to.
+
+        !!! warning "DeltaChannel"
+
+            Implementations must copy the **complete** parent chain (all
+            ancestor checkpoints and their `checkpoint_writes`) — copying
+            only the head checkpoint will leave the target thread with
+            `DeltaChannel` state that cannot be reconstructed (no path back
+            to a `_DeltaSnapshot` ancestor). Equivalently, the copy must
+            include enough ancestors that every `DeltaChannel`-backed key
+            has either a `_DeltaSnapshot` in `channel_values` somewhere in
+            the chain, or a complete write history back to the chain root.
         """
         raise NotImplementedError
 
@@ -339,6 +383,34 @@ class BaseCheckpointSaver(Generic[V]):
             thread_ids: The thread IDs to prune.
             strategy: The pruning strategy. `"keep_latest"` retains only the most
                 recent checkpoint per namespace. `"delete"` removes all checkpoints.
+
+        !!! warning "DeltaChannel"
+
+            Custom implementations must be `DeltaChannel`-aware. `DeltaChannel`
+            stores only a sentinel in `channel_values` for non-snapshot steps;
+            reconstruction walks the parent chain via
+            `get_delta_channel_history`, accumulating rows from
+            `checkpoint_writes` until it reaches an ancestor whose
+            `channel_values` contains a `_DeltaSnapshot` blob (written every
+            `snapshot_frequency` updates).
+
+            A naive `"keep_latest"` that drops intermediate checkpoints and
+            their writes can sever that chain: the surviving "latest"
+            checkpoint is rarely a snapshot point itself, so its delta
+            channels would silently reconstruct as empty (no error raised —
+            `get_delta_channel_history` simply returns no `seed`). Safe
+            options when the graph uses `DeltaChannel`:
+
+            * Walk back from each kept checkpoint and preserve every
+              ancestor (plus its `checkpoint_writes`) up to the nearest one
+              whose `channel_values` already contains a `_DeltaSnapshot` for
+              every `DeltaChannel`-backed key.
+            * Force a fresh snapshot on the kept checkpoint before deleting
+              ancestors — rewrite `channel_values[k] = _DeltaSnapshot(value)`
+              for each delta channel `k` (resolving `value` via the existing
+              ancestor walk first), then prune.
+            * Skip pruning threads whose graph uses `DeltaChannel` until one
+              of the above is implemented.
         """
         raise NotImplementedError
 
@@ -455,6 +527,13 @@ class BaseCheckpointSaver(Generic[V]):
 
         Args:
             run_ids: The run IDs whose checkpoints should be deleted.
+
+        !!! warning "DeltaChannel"
+
+            See `delete_for_runs` — deleting rows a still-live thread's
+            `DeltaChannel` reconstruction depends on (writes between the
+            head and its nearest `_DeltaSnapshot` ancestor) will silently
+            corrupt that channel's state.
         """
         raise NotImplementedError
 
@@ -468,6 +547,13 @@ class BaseCheckpointSaver(Generic[V]):
         Args:
             source_thread_id: The thread ID to copy from.
             target_thread_id: The thread ID to copy to.
+
+        !!! warning "DeltaChannel"
+
+            See `copy_thread` — the copy must carry the complete parent
+            chain (or at least back to a `_DeltaSnapshot` ancestor for every
+            `DeltaChannel`) so the target thread can reconstruct delta
+            state.
         """
         raise NotImplementedError
 
@@ -483,106 +569,125 @@ class BaseCheckpointSaver(Generic[V]):
             thread_ids: The thread IDs to prune.
             strategy: The pruning strategy. `"keep_latest"` retains only the most
                 recent checkpoint per namespace. `"delete"` removes all checkpoints.
+
+        !!! warning "DeltaChannel"
+
+            See `prune` for the full `DeltaChannel` caveat. In short:
+            `"keep_latest"` must not drop ancestor checkpoints / writes that
+            sit between the kept checkpoint and the nearest `_DeltaSnapshot`
+            ancestor, or delta channels will silently reconstruct as empty.
         """
         raise NotImplementedError
 
-    def _get_tuple_raw(self, config: RunnableConfig) -> CheckpointTuple | None:
-        """Pure storage read used by `_get_channel_writes_history`.
+    def get_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Walk the parent chain returning per-channel writes + seed.
 
-        Must return the same value as `get_tuple` but must NOT trigger channel
-        reconstruction; otherwise the channel-hydration path would re-enter
-        `_get_channel_writes_history`. Override only if `get_tuple` itself
-        performs channel hydration.
-        """
-        return self.get_tuple(config)
+        !!! warning "Beta"
 
-    async def _aget_tuple_raw(self, config: RunnableConfig) -> CheckpointTuple | None:
-        """Async version of `_get_tuple_raw`. See docstring there."""
-        return await self.aget_tuple(config)
+            This method is part of the `DeltaChannel` support surface and is
+            in beta. The signature, return shape (`DeltaChannelHistory`), and
+            interaction with `_DeltaSnapshot` blobs may change. Override at
+            your own risk; the default implementation will continue to work
+            against the public `BaseCheckpointSaver` contract.
 
-    def _get_channel_writes_history(
-        self, config: RunnableConfig, channel: str
-    ) -> _ChannelWritesHistory:
-        """**Experimental.** Query one channel's writes along the parent chain.
-
-        Storage-level query, not channel semantics: returns `(seed, writes)`
-        reflecting what storage knows about a single channel across the
-        ancestor chain of the target checkpoint identified by `config`.
-
-        * `writes` — on-path deltas oldest→newest as `PendingWrite` tuples.
-          Writes stored at the target `checkpoint_id` itself are pending
-          for the next super-step and are excluded.
-        * `seed` — the nearest ancestor's stored blob value for this
-          channel; `DELTA_SENTINEL` if the walk reached the root without
-          finding a stored value. A non-sentinel seed typically indicates
-          a pre-delta snapshot preserved across a channel-type migration.
+        For each requested channel, walks ancestors of the checkpoint
+        identified by `config` (following `parent_config`) and accumulates
+        `pending_writes` for that channel. The walk terminates per-channel
+        at the nearest ancestor whose `channel_values[ch]` is populated;
+        that value is returned as `seed`. If the walk reaches the root
+        without finding a stored value, `seed` is omitted from that
+        channel's entry — the consumer treats the absence as "start
+        empty."
 
         Walks the **parent chain** (not `list(before=...)`): for forked
         threads, only on-path ancestors contribute.
 
-        Reference implementation walks `get_tuple` + `parent_config`,
-        inspecting each ancestor's `channel_values[channel]` for the seed
-        terminator. Savers with direct storage access (`InMemorySaver`,
+        The default implementation walks `get_tuple` + `parent_config`
+        once for all channels — each ancestor visited once, not once per
+        channel. Savers with direct storage access (`InMemorySaver`,
         `PostgresSaver`) override for performance; the return contract is
         fixed here.
 
-        Underscore-prefixed because the method surface is experimental.
-        """
-        collected: list[PendingWrite] = []  # newest first; reversed at the end
-        target_tuple = self._get_tuple_raw(config)
-        cursor_config: RunnableConfig | None = (
-            target_tuple.parent_config if target_tuple else None
-        )
-        while cursor_config is not None:
-            tup = self._get_tuple_raw(cursor_config)
-            if tup is None:
-                break
-            # Collect this ancestor's writes FIRST — they encode the
-            # transition from this ancestor's state to its child's, so
-            # they must be included whether or not this ancestor is the
-            # seed terminator.
-            if tup.pending_writes:
-                # Within a superstep, pending_writes are oldest→newest;
-                # reverse to scan newest-first.
-                for write in reversed(tup.pending_writes):
-                    if write[1] != channel:
-                        continue
-                    collected.append(write)
-            # Seed terminator: any non-sentinel blob on an ancestor
-            # establishes the reconstruction base. Stop here.
-            ancestor_value = tup.checkpoint["channel_values"].get(channel)
-            if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
-                collected.reverse()
-                return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
-            cursor_config = tup.parent_config
-        collected.reverse()
-        return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
+        Args:
+            config: Configuration identifying the target checkpoint.
+            channels: Channel names to walk for. Empty → empty mapping.
 
-    async def _aget_channel_writes_history(
-        self, config: RunnableConfig, channel: str
-    ) -> _ChannelWritesHistory:
-        """Async version of `_get_channel_writes_history`. See docstring there."""
-        collected: list[PendingWrite] = []
-        target_tuple = await self._aget_tuple_raw(config)
+        Returns:
+            Per-channel `DeltaChannelHistory` for every name in `channels`.
+        """
+        if not channels:
+            return {}
+        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
+        seed_by_ch: dict[str, Any] = {}
+        remaining: set[str] = set(channels)
+        target_tuple = self.get_tuple(config)
         cursor_config: RunnableConfig | None = (
             target_tuple.parent_config if target_tuple else None
         )
-        while cursor_config is not None:
-            tup = await self._aget_tuple_raw(cursor_config)
+        while cursor_config is not None and remaining:
+            tup = self.get_tuple(cursor_config)
             if tup is None:
                 break
             if tup.pending_writes:
                 for write in reversed(tup.pending_writes):
-                    if write[1] != channel:
-                        continue
-                    collected.append(write)
-            ancestor_value = tup.checkpoint["channel_values"].get(channel)
-            if ancestor_value is not None and ancestor_value is not DELTA_SENTINEL:
-                collected.reverse()
-                return _ChannelWritesHistory(seed=ancestor_value, writes=collected)
+                    ch = write[1]
+                    if ch in remaining:
+                        collected_by_ch[ch].append(write)
+            for ch in list(remaining):
+                if ch in tup.checkpoint["channel_values"]:
+                    seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
+                    remaining.discard(ch)
             cursor_config = tup.parent_config
-        collected.reverse()
-        return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
+        result: dict[str, DeltaChannelHistory] = {}
+        for ch in channels:
+            entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
+            if ch in seed_by_ch:
+                entry["seed"] = seed_by_ch[ch]
+            result[ch] = entry
+        return result
+
+    async def aget_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Async version of `get_delta_channel_history`.
+
+        !!! warning "Beta"
+
+            This method is part of the `DeltaChannel` support surface and is
+            in beta. See `get_delta_channel_history` for caveats.
+        """
+        if not channels:
+            return {}
+        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
+        seed_by_ch: dict[str, Any] = {}
+        remaining: set[str] = set(channels)
+        target_tuple = await self.aget_tuple(config)
+        cursor_config: RunnableConfig | None = (
+            target_tuple.parent_config if target_tuple else None
+        )
+        while cursor_config is not None and remaining:
+            tup = await self.aget_tuple(cursor_config)
+            if tup is None:
+                break
+            if tup.pending_writes:
+                for write in reversed(tup.pending_writes):
+                    ch = write[1]
+                    if ch in remaining:
+                        collected_by_ch[ch].append(write)
+            for ch in list(remaining):
+                if ch in tup.checkpoint["channel_values"]:
+                    seed_by_ch[ch] = tup.checkpoint["channel_values"][ch]
+                    remaining.discard(ch)
+            cursor_config = tup.parent_config
+        result: dict[str, DeltaChannelHistory] = {}
+        for ch in channels:
+            entry: DeltaChannelHistory = {"writes": list(reversed(collected_by_ch[ch]))}
+            if ch in seed_by_ch:
+                entry["seed"] = seed_by_ch[ch]
+            result[ch] = entry
+        return result
 
     def get_next_version(self, current: V | None, channel: None) -> V:
         """Generate the next version ID for a channel.

libs/checkpoint/langgraph/checkpoint/memory/__init__.py

@@ -6,7 +6,7 @@ import pickle
 import random
 import shutil
 from collections import defaultdict
-from collections.abc import AsyncIterator, Iterator, Sequence
+from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
 from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
 from types import TracebackType
 from typing import Any
@@ -14,20 +14,18 @@ from typing import Any
 from langchain_core.runnables import RunnableConfig
 
 from langgraph.checkpoint.base import (
-    DELTA_SENTINEL,
     WRITES_IDX_MAP,
     BaseCheckpointSaver,
     ChannelVersions,
     Checkpoint,
     CheckpointMetadata,
     CheckpointTuple,
+    DeltaChannelHistory,
     PendingWrite,
     SerializerProtocol,
-    _ChannelWritesHistory,
     get_checkpoint_id,
     get_checkpoint_metadata,
 )
-from langgraph.checkpoint.serde.types import _DeltaSnapshot
 
 logger = logging.getLogger(__name__)
 
@@ -141,17 +139,31 @@ class InMemorySaver(
             result[k] = self.serde.loads_typed(vv)
         return result
 
-    def _get_channel_writes_history(
-        self, config: RunnableConfig, channel: str
-    ) -> _ChannelWritesHistory:
+    def get_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        """Override: walk the parent chain ONCE for all requested channels.
+
+        Each channel terminates independently at the nearest ancestor
+        whose stored blob is non-empty. Other channels keep walking until
+        they find their own terminator or hit the root.
+
+        Pre-delta plain-value blobs subsume their ancestor's pending
+        writes (the value already includes them); `_DeltaSnapshot` blobs
+        do not (snapshot is the value AT that ancestor, prior to its own
+        pending writes that produce the child).
+        """
+        if not channels:
+            return {}
+        # Imported lazily to avoid a hard checkpoint→serde-types coupling at
+        # module import; only this override needs the runtime check.
+        from langgraph.checkpoint.serde.types import _DeltaSnapshot
+
         thread_id = config["configurable"]["thread_id"]
         checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
         checkpoint_id = config["configurable"].get("checkpoint_id", "")
         ns_storage = self.storage.get(thread_id, {}).get(checkpoint_ns, {})
-        # Walk the parent chain newest→oldest. Skip the target itself —
-        # writes stored AT `checkpoint_id` are pending for the next step
-        # (pregel applies them via `apply_writes`; they aren't part of the
-        # snapshot value AT `checkpoint_id`).
+
         chain: list[str] = []
         target_entry = ns_storage.get(checkpoint_id)
         current: str | None = target_entry[2] if target_entry is not None else None
@@ -162,77 +174,64 @@ class InMemorySaver(
             chain.append(current)
             _, _, parent = entry
             current = parent
-        # Scan newest→oldest. A pre-delta blob on an ancestor terminates the
-        # walk and is bound as `seed`; without this, a thread migrated from
-        # pre-delta storage would replay ancestor writes all the way to the
-        # root AND miss any value that lived only in the old blob (e.g. from
-        # `update_state`).
-        #
-        # At each ancestor, check the blob BEFORE processing its pending
-        # writes: a pre-delta blob represents the state AT that ancestor,
-        # which already subsumes any writes stored under it. Processing
-        # those writes first would fold them into the reconstructed value
-        # twice (once via the blob, once via replay).
-        collected: list[PendingWrite] = []  # newest first
-        for cp_id in chain:  # newest → oldest
+
+        collected_by_ch: dict[str, list[PendingWrite]] = {c: [] for c in channels}
+        seed_by_ch: dict[str, Any] = {}
+        remaining: set[str] = set(channels)
+
+        for cp_id in chain:
+            if not remaining:
+                break
             entry = ns_storage.get(cp_id)
-            if entry is not None:
-                ckpt = self.serde.loads_typed(entry[0])
-                ver = ckpt.get("channel_versions", {}).get(channel)
-                if ver is not None:
-                    blob_entry = self.blobs.get(
-                        (thread_id, checkpoint_ns, channel, ver)
-                    )
-                    if blob_entry is not None and blob_entry[0] != "empty":
-                        blob_value = self.serde.loads_typed(blob_entry)
-                        if blob_value is not DELTA_SENTINEL:
-                            if isinstance(blob_value, _DeltaSnapshot):
-                                # Step-based snapshot: the blob is state AT this
-                                # ancestor, but the ancestor's pending_writes
-                                # encode the NEXT step's transition and are NOT
-                                # subsumed by the snapshot — collect them first.
-                                step_writes = self.writes.get(
-                                    (thread_id, checkpoint_ns, cp_id), {}
-                                )
-                                for (_task_id, _idx), (
-                                    tid,
-                                    ch,
-                                    serialized,
-                                    _,
-                                ) in sorted(step_writes.items(), reverse=True):
-                                    if ch != channel:
-                                        continue
-                                    collected.append(
-                                        (tid, ch, self.serde.loads_typed(serialized))
-                                    )
-                                collected.reverse()
-                                return _ChannelWritesHistory(
-                                    seed=blob_value, writes=collected
-                                )
-                            # Pre-delta blob: state AT this ancestor already
-                            # subsumes its pending_writes — skip them.
-                            collected.reverse()
-                            return _ChannelWritesHistory(
-                                seed=blob_value, writes=collected
-                            )
+            ckpt = self.serde.loads_typed(entry[0]) if entry is not None else None
+
+            terminated_here: set[str] = set()
+            blob_value_by_ch: dict[str, Any] = {}
+            if ckpt is not None:
+                versions = ckpt.get("channel_versions", {})
+                for ch in remaining:
+                    ver = versions.get(ch)
+                    if ver is None:
+                        continue
+                    blob_entry = self.blobs.get((thread_id, checkpoint_ns, ch, ver))
+                    if blob_entry is None or blob_entry[0] == "empty":
+                        continue
+                    blob_value_by_ch[ch] = self.serde.loads_typed(blob_entry)
+                    terminated_here.add(ch)
 
             step_writes = self.writes.get((thread_id, checkpoint_ns, cp_id), {})
-            # Within a superstep, sorted by (task_id, idx) = oldest → newest;
-            # reverse for newest-first scan.
             for (_task_id, _idx), (tid, ch, serialized, _) in sorted(
                 step_writes.items(), reverse=True
             ):
-                if ch != channel:
+                if ch not in remaining:
                     continue
-                val = self.serde.loads_typed(serialized)
-                collected.append((tid, ch, val))
-        collected.reverse()
-        return _ChannelWritesHistory(seed=DELTA_SENTINEL, writes=collected)
+                blob_value = blob_value_by_ch.get(ch)
+                if blob_value is not None and not isinstance(
+                    blob_value, _DeltaSnapshot
+                ):
+                    continue
+                collected_by_ch[ch].append(
+                    (tid, ch, self.serde.loads_typed(serialized))
+                )
 
-    async def _aget_channel_writes_history(
-        self, config: RunnableConfig, channel: str
-    ) -> _ChannelWritesHistory:
-        return self._get_channel_writes_history(config, channel)
+            for ch in terminated_here:
+                seed_by_ch[ch] = blob_value_by_ch[ch]
+                remaining.discard(ch)
+
+        result: dict[str, DeltaChannelHistory] = {}
+        for ch in channels:
+            entry_h: DeltaChannelHistory = {
+                "writes": list(reversed(collected_by_ch[ch]))
+            }
+            if ch in seed_by_ch:
+                entry_h["seed"] = seed_by_ch[ch]
+            result[ch] = entry_h
+        return result
+
+    async def aget_delta_channel_history(
+        self, *, config: RunnableConfig, channels: Sequence[str]
+    ) -> Mapping[str, DeltaChannelHistory]:
+        return self.get_delta_channel_history(config=config, channels=channels)
 
     def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
         """Get a checkpoint tuple from the in-memory storage.

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

@@ -34,9 +34,7 @@ from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
 from langgraph.checkpoint.serde.base import SerializerProtocol
 from langgraph.checkpoint.serde.event_hooks import emit_serde_event
 from langgraph.checkpoint.serde.types import (
-    DELTA_SENTINEL,
     SendProtocol,
-    _DeltaSentinel,
     _DeltaSnapshot,
 )
 from langgraph.store.base import Item
@@ -46,7 +44,7 @@ if TYPE_CHECKING:
         AllowedMsgpackModules,
     )
 
-LC_REVIVER = Reviver()
+LC_REVIVER = Reviver(allowed_objects="core")
 EMPTY_BYTES = b""
 logger = logging.getLogger(__name__)
 
@@ -159,27 +157,6 @@ class JsonPlusSerializer(SerializerProtocol):
             )
         return clone
 
-    def _encode_constructor_args(
-        self,
-        constructor: Callable | type[Any],
-        *,
-        method: None | str | Sequence[None | str] = None,
-        args: Sequence[Any] | None = None,
-        kwargs: dict[str, Any] | None = None,
-    ) -> dict[str, Any]:
-        out = {
-            "lc": 2,
-            "type": "constructor",
-            "id": (*constructor.__module__.split("."), constructor.__name__),
-        }
-        if method is not None:
-            out["method"] = method
-        if args is not None:
-            out["args"] = args
-        if kwargs is not None:
-            out["kwargs"] = kwargs
-        return out
-
     def _reviver(self, value: dict[str, Any]) -> Any:
         if (
             value.get("lc", None) == 2
@@ -205,45 +182,46 @@ class JsonPlusSerializer(SerializerProtocol):
         self._check_allowed_json_modules(value)
 
         [*module, name] = value["id"]
+        # The `method` field on lc:2 envelopes is intentionally ignored.
+        # Revival is restricted to the default constructor (no `getattr`
+        # dispatch on attacker-influenced names). The framework's own
+        # encoder has not emitted `method=` since the msgpack migration,
+        # and the only legacy emission was `method=(None, "construct")`
+        # for pydantic models, where the first entry (`None`) already
+        # meant "default constructor", which is what we do here.
         try:
             mod = importlib.import_module(".".join(module))
             cls = getattr(mod, name)
-            method = value.get("method")
-            if isinstance(method, str):
-                methods = [getattr(cls, method)]
-            elif isinstance(method, list):
-                methods = [cls if m is None else getattr(cls, m) for m in method]
-            else:
-                methods = [cls]
+            if isclass(cls) and issubclass(cls, BaseException):
+                return None
             args = value.get("args")
             kwargs = value.get("kwargs")
-            for method in methods:
-                try:
-                    if isclass(method) and issubclass(method, BaseException):
-                        return None
-                    if args and kwargs:
-                        return method(*args, **kwargs)
-                    elif args:
-                        return method(*args)
-                    elif kwargs:
-                        return method(**kwargs)
-                    else:
-                        return method()
-                except Exception:
-                    continue
-        except Exception:
+            if args and kwargs:
+                return cls(*args, **kwargs)
+            elif args:
+                return cls(*args)
+            elif kwargs:
+                return cls(**kwargs)
+            else:
+                return cls()
+        except Exception as exc:
+            # Method-field dispatch has been removed (GHSA-fjqc-hq36-qh5p), so
+            # legacy pydantic payloads emitting `method=[None, "construct"]`
+            # no longer fall back to `cls.construct(**kwargs)` when the
+            # default constructor rejects the serialized kwargs. Surface a
+            # one-line warning so operators can spot payloads that now revive
+            # to `None` instead of silently degrading to the raw envelope.
+            logger.warning(
+                "Failed to revive lc:2 envelope %s "
+                "(legacy_method_field=%s, error=%s); returning None",
+                ".".join((*module, name)),
+                "method" in value,
+                type(exc).__name__,
+            )
             return None
 
     def _check_allowed_json_modules(self, value: dict[str, Any]) -> None:
         needed = tuple(value["id"])
-        method = value.get("method")
-        if isinstance(method, list):
-            method_display = ",".join(m or "<init>" for m in method)
-        elif isinstance(method, str):
-            method_display = method
-        else:
-            method_display = "<init>"
-
         dotted = ".".join(needed)
         # Safe types (the same set already allowed for msgpack deserialization) are
         # permitted without an explicit allowlist — they are known-safe LangGraph and
@@ -254,7 +232,7 @@ class JsonPlusSerializer(SerializerProtocol):
 
         if not self._allowed_json_modules:
             raise InvalidModuleError(
-                f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
+                f"Refused to deserialize JSON constructor: {dotted}. "
                 "No allowed_json_modules configured.\n\n"
                 "Unblock with ONE of:\n"
                 f"  • JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"
@@ -269,7 +247,7 @@ class JsonPlusSerializer(SerializerProtocol):
             return
 
         raise InvalidModuleError(
-            f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
+            f"Refused to deserialize JSON constructor: {dotted}. "
             "Symbol is not in the deserialization allowlist.\n\n"
             "Add exactly this symbol to unblock:\n"
             f"  JsonPlusSerializer(allowed_json_modules=[{needed!r}, ...])\n"
@@ -322,14 +300,11 @@ EXT_PYDANTIC_V1 = 4
 EXT_PYDANTIC_V2 = 5
 EXT_NUMPY_ARRAY = 6
 EXT_DELTA_SNAPSHOT = 7
-EXT_DELTA_SENTINEL = 8
 
 
 def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
     if isinstance(obj, _DeltaSnapshot):
         return ormsgpack.Ext(EXT_DELTA_SNAPSHOT, _msgpack_enc(obj.value))
-    elif isinstance(obj, _DeltaSentinel):
-        return ormsgpack.Ext(EXT_DELTA_SENTINEL, b"")
     elif hasattr(obj, "model_dump") and callable(obj.model_dump):  # pydantic v2
         return ormsgpack.Ext(
             EXT_PYDANTIC_V2,
@@ -656,9 +631,7 @@ def _create_msgpack_ext_hook(
         return False
 
     def ext_hook(code: int, data: bytes) -> Any:
-        if code == EXT_DELTA_SENTINEL:
-            return DELTA_SENTINEL
-        elif code == EXT_DELTA_SNAPSHOT:
+        if code == EXT_DELTA_SNAPSHOT:
             return _DeltaSnapshot(
                 ormsgpack.unpackb(
                     data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS

libs/checkpoint/langgraph/checkpoint/serde/types.py

@@ -16,30 +16,13 @@ RESUME = "__resume__"
 TASKS = "__pregel_tasks"
 
 
-class _DeltaSentinel:
-    """Singleton marker stored (as zero bytes) in checkpoint_blobs for a
-    DeltaChannel field. The actual per-step writes live in checkpoint_writes
-    and are replayed through the reducer at load time.
-
-    Compare with `is DELTA_SENTINEL` — `loads_typed` always returns the same
-    module-level instance.
-    """
-
-    __slots__ = ()
-
-    def __repr__(self) -> str:
-        return "DELTA_SENTINEL"
-
-
-DELTA_SENTINEL = _DeltaSentinel()
-
-
 class _DeltaSnapshot(NamedTuple):
     """Snapshot blob for a DeltaChannel with finite snapshot_frequency.
 
     Stored in checkpoint_blobs via the `EXT_DELTA_SNAPSHOT` msgpack ext code.
-    The ancestor walk in `_get_channel_writes_history` terminates when it
-    encounters this type (any non-sentinel blob stops the walk).
+    The ancestor walk in `BaseCheckpointSaver.get_delta_channel_history` terminates
+    when it encounters this type (any non-empty channel_values entry stops
+    the walk for that channel).
 
     `from_checkpoint` reconstructs the channel value directly from `.value`
     without replaying writes — the snapshot IS the accumulated state.

libs/checkpoint/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph-checkpoint"
-version = "4.0.3"
+version = "4.1.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.10"

libs/checkpoint/tests/test_conformance_delta.py

@@ -0,0 +1,33 @@
+"""Run delta-channel conformance capabilities against InMemorySaver."""
+
+from __future__ import annotations
+
+import pytest
+
+conformance = pytest.importorskip(
+    "langgraph.checkpoint.conformance",
+    reason="langgraph-checkpoint-conformance not installed",
+)
+
+
+@pytest.mark.asyncio
+async def test_delta_channel_conformance():
+    from langgraph.checkpoint.conformance import validate
+    from langgraph.checkpoint.conformance.initializer import checkpointer_test
+
+    from langgraph.checkpoint.memory import InMemorySaver
+
+    @checkpointer_test(name="InMemorySaver")
+    async def mem_saver():
+        yield InMemorySaver()
+
+    report = await validate(
+        mem_saver,
+        capabilities={
+            "delta_channel_history",
+        },
+    )
+    for cap, result in report.results.items():
+        if result.passed is False:
+            details = "\n".join(result.failures or [])
+            pytest.fail(f"Capability {cap} failed:\n{details}")

libs/checkpoint/tests/test_jsonplus.py

@@ -398,6 +398,193 @@ def test_deserde_invalid_module() -> None:
     serde.loads_typed(("json", json.dumps(load).encode("utf-8")))
 
 
+def test_lc2_json_method_field_is_ignored() -> None:
+    """The `method` field on lc=2 envelopes is ignored.
+
+    Regression test for GHSA-fjqc-hq36-qh5p: `_revive_lc2` previously resolved
+    `getattr(cls, method)` from the envelope, which let an attacker pivot a
+    safe pydantic class (e.g., AIMessage) to `parse_raw(..., allow_pickle=True)`
+    and reach `pickle.loads`. Revival now uses only the default constructor.
+
+    Verifies that an envelope carrying ``method="parse_raw"`` does not dispatch
+    to that method: the result is whatever ``AIMessage(*args, **kwargs)`` would
+    produce, which proves the default constructor ran instead of ``parse_raw``.
+    """
+    from langchain_core.messages import AIMessage
+
+    serde = JsonPlusSerializer()
+    load = {
+        "lc": 2,
+        "type": "constructor",
+        "id": ["langchain_core", "messages", "ai", "AIMessage"],
+        "method": "parse_raw",
+        "args": ["default-ctor-ran"],
+        "kwargs": {"content_type": "application/pickle", "allow_pickle": True},
+    }
+    result = serde._revive_lc2(load)
+    # Default constructor accepts `content` as first positional arg. If parse_raw
+    # had been invoked instead, it would have attempted JSON/pickle parsing and
+    # raised (or executed the pickle gadget); neither would produce this result.
+    assert isinstance(result, AIMessage)
+    assert result.content == "default-ctor-ran"
+
+
+def test_lc2_json_method_field_is_ignored_for_allowlisted_types() -> None:
+    """The `method` field is ignored even when the class is explicitly allowlisted.
+
+    A user who configures ``allowed_json_modules`` for a class no longer gets
+    method dispatch as a side effect. Revival is restricted to the default
+    constructor regardless of how the class reached the revival path.
+    """
+    from langchain_core.messages import AIMessage
+
+    serde = JsonPlusSerializer(
+        allowed_json_modules=[("langchain_core.messages.ai", "AIMessage")]
+    )
+    load = {
+        "lc": 2,
+        "type": "constructor",
+        "id": ["langchain_core", "messages", "ai", "AIMessage"],
+        "method": "parse_raw",
+        "args": ["default-ctor-ran"],
+    }
+    result = serde._revive_lc2(load)
+    assert isinstance(result, AIMessage)
+    assert result.content == "default-ctor-ran"
+
+
+def test_lc2_json_safe_type_init_still_works() -> None:
+    """SAFE-type lc=2 revival without a `method` field still constructs the class."""
+    from langchain_core.messages import AIMessage
+
+    serde = JsonPlusSerializer()
+    load = {
+        "lc": 2,
+        "type": "constructor",
+        "id": ["langchain_core", "messages", "ai", "AIMessage"],
+        "kwargs": {"content": "hi", "type": "ai"},
+    }
+    result = serde._revive_lc2(load)
+    assert isinstance(result, AIMessage)
+    assert result.content == "hi"
+
+
+def test_lc2_json_legacy_pydantic_method_list_falls_back_to_default() -> None:
+    """Legacy ``method=(None, "construct")`` envelopes still revive via the default ctor.
+
+    Pre-October-2025 langgraph emitted pydantic models with
+    ``method=(None, "construct")`` meaning "try default constructor, fall back
+    to pydantic ``construct``". The first entry (``None``) was always the
+    default constructor, which is what we now do unconditionally. Envelopes of
+    this shape continue to revive correctly as long as the default constructor
+    accepts the serialized kwargs.
+    """
+    from langchain_core.messages import AIMessage
+
+    serde = JsonPlusSerializer()
+    load = {
+        "lc": 2,
+        "type": "constructor",
+        "id": ["langchain_core", "messages", "ai", "AIMessage"],
+        "method": [None, "construct"],
+        "kwargs": {"content": "legacy", "type": "ai"},
+    }
+    result = serde._revive_lc2(load)
+    assert isinstance(result, AIMessage)
+    assert result.content == "legacy"
+
+
+def test_lc2_json_legacy_construct_payload_logs_warning_when_default_init_rejects(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    """Legacy `method=[None, "construct"]` envelopes whose kwargs the default
+    `__init__` rejects now revive to `None` and emit an observable warning.
+
+    Pre-October-2025 langgraph emitted pydantic payloads with
+    `method=[None, "construct"]` so the reviver could fall back to
+    `cls.construct(**kwargs)` when the default constructor raised a
+    validation error. That fallback was removed with method-field dispatch
+    (GHSA-fjqc-hq36-qh5p), so these payloads now silently fail validation. A
+    `logger.warning` makes the regression observable to operators instead of
+    letting the envelope quietly degrade to its raw-dict form.
+    """
+    serde = JsonPlusSerializer()
+    load = {
+        "lc": 2,
+        "type": "constructor",
+        "id": ["langchain_core", "messages", "ai", "AIMessage"],
+        # Legacy two-entry method tuple: try default ctor, fall back to construct.
+        "method": [None, "construct"],
+        # ``type="not-a-real-message-type"`` fails AIMessage's Literal["ai"]
+        # validator under the default constructor. Before the GHSA patch this
+        # would have fallen back to ``cls.construct(**kwargs)``; now it must
+        # return None and log.
+        "kwargs": {"content": "legacy", "type": "not-a-real-message-type"},
+    }
+
+    with caplog.at_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus"):
+        result = serde._revive_lc2(load)
+
+    assert result is None, (
+        "Legacy method=[None, 'construct'] payloads with kwargs the default "
+        "ctor rejects must now return None (no construct() fallback)."
+    )
+
+    matching = [
+        r
+        for r in caplog.records
+        if r.name == "langgraph.checkpoint.serde.jsonplus"
+        and r.levelno == logging.WARNING
+        and "langchain_core.messages.ai.AIMessage" in r.getMessage()
+        and "legacy_method_field=True" in r.getMessage()
+    ]
+    assert matching, (
+        "Expected a WARNING from langgraph.checkpoint.serde.jsonplus "
+        "referencing the class id and legacy_method_field=True; "
+        f"got records: {[(r.name, r.levelname, r.getMessage()) for r in caplog.records]}"
+    )
+
+
+def test_lc2_json_safe_type_pickle_payload_does_not_execute() -> None:
+    """End-to-end: a `parse_raw` pickle gadget payload on a SAFE type must not run.
+
+    With method dispatch removed from `_revive_lc2`, the gadget bytes are never
+    passed to `parse_raw` and therefore never reach `pickle.loads`.
+    """
+    import os
+    import pickle
+    import tempfile
+
+    marker = tempfile.NamedTemporaryFile(
+        prefix="lc2_block_proof_", suffix=".out", delete=False
+    ).name
+    os.remove(marker)  # ensure absent before the test runs
+
+    class _Gadget:
+        def __reduce__(self) -> tuple:
+            return (os.system, (f"touch {marker}",))
+
+    gadget_bytes = pickle.dumps(_Gadget(), protocol=0).decode("latin1")
+    envelope = {
+        "lc": 2,
+        "type": "constructor",
+        "id": ["langchain_core", "messages", "ai", "AIMessage"],
+        "method": "parse_raw",
+        "args": [gadget_bytes],
+        "kwargs": {"content_type": "application/pickle", "allow_pickle": True},
+    }
+
+    serde = JsonPlusSerializer()
+    try:
+        serde.loads_typed(("json", json.dumps(envelope).encode()))
+    except Exception:
+        pass
+
+    assert not os.path.exists(marker), (
+        "Pickle gadget executed via parse_raw on AIMessage lc=2 envelope"
+    )
+
+
 def test_serde_jsonplus_bytearray() -> None:
     serde = JsonPlusSerializer()
 
@@ -1048,15 +1235,3 @@ def test_msgpack_nested_pydantic_serializes_as_dict(
     # No blocking should occur - inner is serialized as dict, not ext
     assert "blocked" not in caplog.text.lower()
     assert result == obj
-
-
-def test_delta_sentinel_serde_round_trip() -> None:
-    from langgraph.checkpoint.base import DELTA_SENTINEL
-    from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
-
-    serde = JsonPlusSerializer()
-    type_tag, blob = serde.dumps_typed(DELTA_SENTINEL)
-    assert type_tag == "msgpack"
-    assert blob  # non-empty ext envelope
-    loaded = serde.loads_typed((type_tag, blob))
-    assert loaded is DELTA_SENTINEL

libs/checkpoint/tests/test_memory.py

@@ -6,7 +6,6 @@ from langchain_core.runnables import RunnableConfig
 from pydantic import BaseModel
 
 from langgraph.checkpoint.base import (
-    DELTA_SENTINEL,
     Checkpoint,
     CheckpointMetadata,
     create_checkpoint,
@@ -322,31 +321,27 @@ def test_memory_saver_with_allowlist_proxy_isolated() -> None:
 
 
 class TestInMemorySaverDeltaChannel:
-    def test_load_blobs_returns_sentinel_for_delta_channel(self) -> None:
-        """_load_blobs returns DELTA_SENTINEL for delta channels (reconstruction deferred)."""
+    def test_load_blobs_omits_delta_channel(self) -> None:
+        """_load_blobs omits delta channels (stored as 'empty'); reconstruction deferred."""
         saver = InMemorySaver()
-        serde = JsonPlusSerializer()
 
         thread_id, ns, channel = "t1", "", "messages"
         v1 = "00000000000000000000000000000001.0000000000000000"
 
-        saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(DELTA_SENTINEL)
-
-        cp1 = empty_checkpoint()
-        cp1["id"] = "cp1"
-        cp1["channel_versions"][channel] = v1
-        saver.storage[thread_id][ns] = {
-            "cp1": (serde.dumps_typed(cp1), serde.dumps_typed({}), None),
-        }
+        saver.blobs[(thread_id, ns, channel, v1)] = ("empty", b"")
 
         result = saver._load_blobs(thread_id, ns, {channel: v1})
-        assert channel in result
-        assert result[channel] is DELTA_SENTINEL
+        assert channel not in result
 
     def test_get_channel_writes_collects_ancestor_writes_only(self) -> None:
-        """_get_channel_writes_history collects ancestor writes oldest→newest,
-        and excludes writes stored at the target checkpoint itself (those are
-        pending writes for the next step, applied separately by pregel)."""
+        """`get_delta_channel_history` collects ancestor writes oldest→newest, and
+        excludes writes stored at the target checkpoint itself (those are
+        pending writes for the next step, applied separately by pregel).
+
+        When the walk reaches the root without finding any stored value for
+        the channel, the per-channel entry has no `seed` key (TypedDict
+        absence indicates "start empty").
+        """
         saver = InMemorySaver()
         serde = JsonPlusSerializer()
 
@@ -384,9 +379,12 @@ class TestInMemorySaverDeltaChannel:
                 "checkpoint_id": "cp2",
             }
         }
-        result = saver._get_channel_writes_history(config, channel)
-        assert result.seed is DELTA_SENTINEL
-        values = [v for _, _, v in result.writes]
+        result = saver.get_delta_channel_history(config=config, channels=[channel])[
+            channel
+        ]
+        # Walk reached the root without finding a stored value → no `seed` key.
+        assert "seed" not in result
+        values = [v for _, _, v in result["writes"]]
         assert values == [{"content": "hi"}]
 
     def test_get_channel_writes_at_root_returns_empty(self) -> None:
@@ -414,15 +412,18 @@ class TestInMemorySaverDeltaChannel:
                 "checkpoint_id": "cp1",
             }
         }
-        result = saver._get_channel_writes_history(config, channel)
-        assert result.seed is DELTA_SENTINEL
-        assert result.writes == []
+        result = saver.get_delta_channel_history(config=config, channels=[channel])[
+            channel
+        ]
+        # No ancestors → no seed found, no writes accumulated.
+        assert "seed" not in result
+        assert result["writes"] == []
 
 
 class TestBaseFallbackGetChannelWrites:
-    """Exercises the `BaseCheckpointSaver._get_channel_writes_history` default
+    """Exercises the `BaseCheckpointSaver.get_delta_channel_history` default
     implementation — the path third-party savers inherit when they don't
-    override `_get_channel_writes_history` themselves.
+    override `get_delta_channel_history` themselves.
 
     Regression guard for a bug where the fallback passed the caller's config
     (with `checkpoint_id`) straight to `self.list()`, which most savers
@@ -438,11 +439,11 @@ class TestBaseFallbackGetChannelWrites:
         """
 
         class _ThirdPartyStyleSaver(InMemorySaver):
-            _get_channel_writes_history = (
-                InMemorySaver.__mro__[1]._get_channel_writes_history  # type: ignore[attr-defined]
+            get_delta_channel_history = (
+                InMemorySaver.__mro__[1].get_delta_channel_history  # type: ignore[attr-defined]
             )
-            _aget_channel_writes_history = (
-                InMemorySaver.__mro__[1]._aget_channel_writes_history  # type: ignore[attr-defined]
+            aget_delta_channel_history = (
+                InMemorySaver.__mro__[1].aget_delta_channel_history  # type: ignore[attr-defined]
             )
 
         saver = _ThirdPartyStyleSaver()
@@ -486,10 +487,13 @@ class TestBaseFallbackGetChannelWrites:
             }
         }
 
-        result = saver._get_channel_writes_history(config, "messages")
+        result = saver.get_delta_channel_history(config=config, channels=["messages"])[
+            "messages"
+        ]
 
-        assert result.seed is DELTA_SENTINEL
-        values = [v for _, _, v in result.writes]
+        # Walk reached root without a stored value → `seed` key absent.
+        assert "seed" not in result
+        values = [v for _, _, v in result["writes"]]
         assert values == [{"content": "first"}, {"content": "second"}]
 
     async def test_async_fallback_returns_ancestor_writes_oldest_first(self) -> None:
@@ -503,17 +507,19 @@ class TestBaseFallbackGetChannelWrites:
             }
         }
 
-        result = await saver._aget_channel_writes_history(config, "messages")
+        result = (
+            await saver.aget_delta_channel_history(config=config, channels=["messages"])
+        )["messages"]
 
-        assert result.seed is DELTA_SENTINEL
-        values = [v for _, _, v in result.writes]
+        assert "seed" not in result
+        values = [v for _, _, v in result["writes"]]
         assert values == [{"content": "first"}, {"content": "second"}]
 
     async def test_async_fallback_concurrent_tasks_do_not_interfere(self) -> None:
         """Regression: the re-entrancy guard must be task-local, not thread-local.
 
-        Two concurrent `_aget_channel_writes_history` calls on the same
-        event-loop thread must each see their full reconstructed writes. A
+        Two concurrent `aget_delta_channel_history` calls on the same event-loop
+        thread must each see their full reconstructed writes. A
         `threading.local()` guard would let whichever task set it first
         short-circuit the other to `writes=[]`.
         """
@@ -542,27 +548,32 @@ class TestBaseFallbackGetChannelWrites:
         }
 
         results = await asyncio.gather(
-            saver._aget_channel_writes_history(config, "messages"),
-            saver._aget_channel_writes_history(config, "messages"),
+            saver.aget_delta_channel_history(config=config, channels=["messages"]),
+            saver.aget_delta_channel_history(config=config, channels=["messages"]),
         )
 
         expected_values = [{"content": "first"}, {"content": "second"}]
-        for result in results:
-            assert result.seed is DELTA_SENTINEL
-            values = [v for _, _, v in result.writes]
+        for result_map in results:
+            result = result_map["messages"]
+            assert "seed" not in result
+            values = [v for _, _, v in result["writes"]]
             assert values == expected_values
 
 
 class TestPreDeltaBlobTerminator:
     """Verify the pre-delta blob terminator: when the ancestor walk hits a
-    checkpoint whose blob for the channel is a real value (not
-    DELTA_SENTINEL), reconstruction seeds from it and stops. This guards
+    checkpoint whose blob for the channel is a real value, reconstruction
+    seeds from it and stops. This guards
 
       * back-compat: a thread written by pre-delta code, then extended under
         delta — reconstruction must return the correct value without walking
         past the last pre-delta ancestor;
       * perf: without the terminator, every reconstruct-after-migration would
         walk all the way to the thread root.
+
+    Under the new public API a found seed populates `seed` in the
+    `DeltaChannelHistory` TypedDict; absence of the `seed` key means the walk
+    reached root without finding a stored value.
     """
 
     def _build_mixed_thread(self) -> tuple[InMemorySaver, str, str, str, str]:
@@ -582,9 +593,9 @@ class TestPreDeltaBlobTerminator:
 
         # Pre-delta: cp1 stored a real blob for the channel.
         saver.blobs[(thread_id, ns, channel, v1)] = serde.dumps_typed(["A"])
-        # Delta-era: cp2 and cp3 store sentinels; real writes in checkpoint_writes.
-        saver.blobs[(thread_id, ns, channel, v2)] = serde.dumps_typed(DELTA_SENTINEL)
-        saver.blobs[(thread_id, ns, channel, v3)] = serde.dumps_typed(DELTA_SENTINEL)
+        # Delta-era: cp2 and cp3 store "empty"; real writes in checkpoint_writes.
+        saver.blobs[(thread_id, ns, channel, v2)] = ("empty", b"")
+        saver.blobs[(thread_id, ns, channel, v3)] = ("empty", b"")
 
         cp1 = empty_checkpoint()
         cp1["id"] = "cp1"
@@ -634,14 +645,16 @@ class TestPreDeltaBlobTerminator:
             }
         }
 
-        result = saver._get_channel_writes_history(config, channel)
+        result = saver.get_delta_channel_history(config=config, channels=[channel])[
+            channel
+        ]
 
         # Seed came from the pre-delta blob at cp1.
-        assert result.seed == ["A"]
+        assert result["seed"] == ["A"]
         # Delta-era writes from cp2 replay through the reducer on top of seed.
         # cp3 is the target — its own write is pending for the NEXT step and
         # must be excluded.
-        values = [v for _, _, v in result.writes]
+        values = [v for _, _, v in result["writes"]]
         assert values == ["B"]
 
     def test_pre_delta_blob_terminates_walk_before_older_writes(self) -> None:
@@ -656,9 +669,11 @@ class TestPreDeltaBlobTerminator:
             }
         }
 
-        result = saver._get_channel_writes_history(config, channel)
+        result = saver.get_delta_channel_history(config=config, channels=[channel])[
+            channel
+        ]
 
-        values = [v for _, _, v in result.writes]
+        values = [v for _, _, v in result["writes"]]
         # The pre-delta write under cp1 must not appear (the blob subsumes it).
         assert "PRE-DELTA-WRITE" not in values
         # And the pending write at the target is never folded in.

libs/checkpoint/uv.lock

@@ -2,7 +2,8 @@ version = 1
 revision = 3
 requires-python = ">=3.10"
 resolution-markers = [
-    "python_full_version >= '3.12'",
+    "python_full_version >= '3.15'",
+    "python_full_version >= '3.12' and python_full_version < '3.15'",
     "python_full_version == '3.11.*'",
     "python_full_version < '3.11'",
 ]
@@ -228,11 +229,11 @@ wheels = [
 
 [[package]]
 name = "idna"
-version = "3.11"
+version = "3.15"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/82/77/7b3966d0b9d1d31a36ddf1746926a11dface89a83409bf1483f0237aa758/idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc", size = 199245, upload-time = "2026-05-12T22:45:57.011Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/0e/61/66938bbb5fc52dbdf84594873d5b51fb1f7c7794e9c0f5bd885f30bc507b/idna-3.11-py3-none-any.whl", hash = "sha256:771a87f49d9defaf64091e6e6fe9c18d4833f140bd19464795bc32d966ca37ea", size = 71008, upload-time = "2025-10-12T14:55:18.883Z" },
+    { url = "https://files.pythonhosted.org/packages/d2/23/408243171aa9aaba178d3e2559159c24c1171a641aa83b67bdd3394ead8e/idna-3.15-py3-none-any.whl", hash = "sha256:048adeaf8c2d788c40fee287673ccaa74c24ffd8dcf09ffa555a2fbb59f10ac8", size = 72340, upload-time = "2026-05-12T22:45:55.733Z" },
 ]
 
 [[package]]
@@ -267,10 +268,11 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
+    { name = "langchain-protocol" },
     { name = "langsmith" },
     { name = "packaging" },
     { name = "pydantic" },
@@ -279,14 +281,26 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/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" },
+    { 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"
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-    "eslint": "^10.1.0",
+    "@typescript-eslint/eslint-plugin": "^8.59.1",
+    "@typescript-eslint/parser": "^8.59.1",
+    "dotenv": "^17.4.2",
+    "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": "^5.5.5",
     "jest": "^30.3.0",
-    "prettier": "^3.8.1",
-    "ts-jest": "^29.4.6",
+    "prettier": "^3.8.3",
+    "ts-jest": "^29.4.9",
     "typescript": "^5.9.3"
   }
 }

libs/cli/js-examples/yarn.lock

@@ -474,26 +474,26 @@
   resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
   integrity sha512-EriSTlt5OC9/7SXkRSCAhfSxxoSUgBm33OH+IkwbdpgoqsSsUg7y3uh+IICI/Qg4BBWr3U2i39RpmycbxMq4ew==
 
-"@eslint/config-array@^0.23.3":
-  version "0.23.3"
-  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
-  integrity sha512-j+eEWmB6YYLwcNOdlwQ6L2OsptI/LO6lNBuLIqe5R7RetD658HLoF+Mn7LzYmAWWNNzdC6cqP+L6r8ujeYXWLw==
+"@eslint/config-array@^0.23.5":
+  version "0.23.5"
+  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.5.tgz#56e86d243049195d8acc0c06a1b3dfdc3fa3de95"
+  integrity sha512-Y3kKLvC1dvTOT+oGlqNQ1XLqK6D1HU2YXPc52NmAlJZbMMWDzGYXMiPRJ8TYD39muD/OTjlZmNJ4ib7dvSrMBA==
   dependencies:
-    "@eslint/object-schema" "^3.0.3"
+    "@eslint/object-schema" "^3.0.5"
     debug "^4.3.1"
     minimatch "^10.2.4"
 
-"@eslint/config-helpers@^0.5.3":
-  version "0.5.3"
-  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
-  integrity sha512-lzGN0onllOZCGroKJmRwY6QcEHxbjBw1gwB8SgRSqK8YbbtEXMvKynsXc3553ckIEBxsbMBU7oOZXKIPGZNeZw==
+"@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" "^1.1.1"
+    "@eslint/core" "^1.2.1"
 
-"@eslint/core@^1.1.1":
-  version "1.1.1"
-  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
-  integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
+"@eslint/core@^1.2.1":
+  version "1.2.1"
+  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.2.1.tgz#c1da7cd1b82fa8787f98b5629fb811848a1b63ce"
+  integrity sha512-MwcE1P+AZ4C6DWlpin/OmOA54mmIZ/+xZuJiQd4SyB29oAJjN30UW9wkKNptW2ctp4cEsvhlLY/CsQ1uoHDloQ==
   dependencies:
     "@types/json-schema" "^7.0.15"
 
@@ -517,17 +517,17 @@
   resolved "https://registry.yarnpkg.com/@eslint/js/-/js-10.0.1.tgz#1e8a876f50117af8ab67e47d5ad94d38d6622583"
   integrity sha512-zeR9k5pd4gxjZ0abRoIaxdc7I3nDktoXZk2qOv9gCNWx3mVwEn32VRhyLaRsDiJjTs0xq/T8mfPtyuXu7GWBcA==
 
-"@eslint/object-schema@^3.0.3":
-  version "3.0.3"
-  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.3.tgz#5bf671e52e382e4adc47a9906f2699374637db6b"
-  integrity sha512-iM869Pugn9Nsxbh/YHRqYiqd23AmIbxJOcpUMOuWCVNdoQJ5ZtwL6h3t0bcZzJUlC3Dq9jCFCESBZnX0GTv7iQ==
+"@eslint/object-schema@^3.0.5":
+  version "3.0.5"
+  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.5.tgz#88e9bf4d11d2b19c082e78ebe7ce88724a5eb091"
+  integrity sha512-vqTaUEgxzm+YDSdElad6PiRoX4t8VGDjCtt05zn4nU810UIx/uNEV7/lZJ6KwFThKZOzOxzXy48da+No7HZaMw==
 
-"@eslint/plugin-kit@^0.6.1":
-  version "0.6.1"
-  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.1.tgz#eb9e6689b56ce8bc1855bb33090e63f3fc115e8e"
-  integrity sha512-iH1B076HoAshH1mLpHMgwdGeTs0CYwL0SPMkGuSebZrwBp16v415e9NZXg2jtrqPVQjf6IANe2Vtlr5KswtcZQ==
+"@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" "^1.1.1"
+    "@eslint/core" "^1.2.1"
     levn "^0.4.1"
 
 "@humanfs/core@^0.19.1":
@@ -890,10 +890,10 @@
     "@jridgewell/resolve-uri" "^3.1.0"
     "@jridgewell/sourcemap-codec" "^1.4.14"
 
-"@langchain/core@^1.1.38":
-  version "1.1.38"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
-  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
+"@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"
@@ -904,7 +904,6 @@
     langsmith ">=0.5.0 <1.0.0"
     mustache "^4.2.0"
     p-queue "^6.6.2"
-    uuid "^11.1.0"
     zod "^3.25.76 || ^4"
 
 "@langchain/langgraph-checkpoint@^1.0.1":
@@ -914,23 +913,23 @@
   dependencies:
     uuid "^10.0.0"
 
-"@langchain/langgraph-sdk@~1.8.1":
-  version "1.8.3"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
-  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
+"@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:
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
     uuid "^13.0.0"
 
-"@langchain/langgraph@^1.2.6":
-  version "1.2.6"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
-  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
+"@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" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.1"
+    "@langchain/langgraph-sdk" "~1.8.9"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -1098,100 +1097,100 @@
   dependencies:
     "@types/yargs-parser" "*"
 
-"@typescript-eslint/eslint-plugin@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
-  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
+"@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" "8.58.0"
-    "@typescript-eslint/type-utils" "8.58.0"
-    "@typescript-eslint/utils" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@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@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
-  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
+"@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" "8.58.0"
-    "@typescript-eslint/types" "8.58.0"
-    "@typescript-eslint/typescript-estree" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
-  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
+"@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" "^8.58.0"
-    "@typescript-eslint/types" "^8.58.0"
+    "@typescript-eslint/tsconfig-utils" "^8.59.1"
+    "@typescript-eslint/types" "^8.59.1"
     debug "^4.4.3"
 
-"@typescript-eslint/scope-manager@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
-  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
+"@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" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/visitor-keys" "8.59.1"
 
-"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
-  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==
+"@typescript-eslint/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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
-  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
+"@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" "8.58.0"
-    "@typescript-eslint/typescript-estree" "8.58.0"
-    "@typescript-eslint/utils" "8.58.0"
+    "@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@8.58.0", "@typescript-eslint/types@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
-  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==
+"@typescript-eslint/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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
-  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
+"@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" "8.58.0"
-    "@typescript-eslint/tsconfig-utils" "8.58.0"
-    "@typescript-eslint/types" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
-  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
+"@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" "8.58.0"
-    "@typescript-eslint/types" "8.58.0"
-    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/scope-manager" "8.59.1"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/typescript-estree" "8.59.1"
 
-"@typescript-eslint/visitor-keys@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
-  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
+"@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" "8.58.0"
+    "@typescript-eslint/types" "8.59.1"
     eslint-visitor-keys "^5.0.0"
 
 "@ungap/structured-clone@^1.3.0":
@@ -1909,10 +1908,10 @@ doctrine@^2.1.0:
   dependencies:
     esutils "^2.0.2"
 
-dotenv@^17.3.1:
-  version "17.3.1"
-  resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-17.3.1.tgz#2706f5b0165e45a1503348187b8468f87fe6aae2"
-  integrity sha512-IO8C/dzEb6O3F9/twg6ZLXz164a2fhTnEWb95H23Dm4OuN+92NmEAlTrupP9VW6Jm3sO26tQlqyvyi4CsnY9GA==
+dotenv@^17.4.2:
+  version "17.4.2"
+  resolved "https://registry.yarnpkg.com/dotenv/-/dotenv-17.4.2.tgz#c07e54a746e11eba021dd9e1047ced5afdc1c034"
+  integrity sha512-nI4U3TottKAcAD9LLud4Cb7b2QztQMUEfHbvhTH09bqXTxnSie8WnjPALV/WMCrJZ6UV/qHJ6L03OqO3LcdYZw==
 
 dunder-proto@^1.0.0, dunder-proto@^1.0.1:
   version "1.0.1"
@@ -2263,17 +2262,17 @@ 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@^10.1.0:
-  version "10.1.0"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
-  integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
+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" "^0.23.3"
-    "@eslint/config-helpers" "^0.5.3"
-    "@eslint/core" "^1.1.1"
-    "@eslint/plugin-kit" "^0.6.1"
+    "@eslint/config-array" "^0.23.5"
+    "@eslint/config-helpers" "^0.5.5"
+    "@eslint/core" "^1.2.1"
+    "@eslint/plugin-kit" "^0.7.1"
     "@humanfs/node" "^0.16.6"
     "@humanwhocodes/module-importer" "^1.0.1"
     "@humanwhocodes/retry" "^0.4.2"
@@ -2683,7 +2682,7 @@ graceful-fs@^4.2.11:
   resolved "https://registry.yarnpkg.com/graceful-fs/-/graceful-fs-4.2.11.tgz#4183e4e8bf08bb6e05bbb2f7d2e0c8f712ca40e3"
   integrity sha512-RbJ5/jmFcNNCcDV5o9eTnBLJ/HszWV0P73bc+Ff4nS/rJj+YaS6IGyiOL0VoBYX+l1Wrl3k63h/KrH+nhJ0XvQ==
 
-handlebars@^4.7.8:
+handlebars@^4.7.9:
   version "4.7.9"
   resolved "https://registry.yarnpkg.com/handlebars/-/handlebars-4.7.9.tgz#6f139082ab58dc4e5a0e51efe7db5ae890d56a0f"
   integrity sha512-4E71E0rpOaQuJR2A3xDZ+GM1HyWYv1clR58tC8emQNeQe3RH7MAzSbat+V0wG78LQBo6m6bzSG/L4pBuCsgnUQ==
@@ -3676,12 +3675,11 @@ keyv@^4.5.4:
     json-buffer "3.0.1"
 
 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.20"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
-  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
+  version "0.6.3"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.6.3.tgz#a3d8ad58d66a47d3697e3c69b2be3f6df5233190"
+  integrity sha512-pXrQ4/4myQvjFFOAUmt5pWRrLEZR20gzIJD7MNdUH+5/S5nLI4ZRBo/SYKC6coaYj9pYTfQdBIzcs+3kfJ5uDA==
   dependencies:
     p-queue "6.6.2"
-    uuid "10.0.0"
 
 leven@^3.1.0:
   version "3.1.0"
@@ -4130,10 +4128,10 @@ prettier-linter-helpers@^1.0.1:
   dependencies:
     fast-diff "^1.1.2"
 
-prettier@^3.8.1:
-  version "3.8.1"
-  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.1.tgz#edf48977cf991558f4fcbd8a3ba6015ba2a3a173"
-  integrity sha512-UOnG6LftzbdaHZcKoPFtOcCKztrQ57WkHDeRD9t/PTQtmT0NHSeWWepj6pS0z/N7+08BHFDQVUrfmfMRcZwbMg==
+prettier@^3.8.3:
+  version "3.8.3"
+  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
+  integrity sha512-7igPTM53cGHMW8xWuVTydi2KO233VFiTNyF5hLJqpilHfmn8C8gPf+PS7dUT64YcXFbiMGZxS9pCSxL/Dxm/Jw==
 
 pretty-format@30.2.0, pretty-format@^30.0.0:
   version "30.2.0"
@@ -4287,7 +4285,7 @@ semver@^6.3.1:
   resolved "https://registry.yarnpkg.com/semver/-/semver-6.3.1.tgz#556d2ef8689146e46dcea4bfdd095f3434dffcb4"
   integrity sha512-BR7VvDCVHO+q2xBEWskxS6DJE1qRnb7DxzUrogb71CWoSficBxYsiAGd+Kl0mmq/MprG9yArRkyrQxTO6XjMzA==
 
-semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3:
+semver@^7.5.3, semver@^7.5.4, semver@^7.7.2, semver@^7.7.3, semver@^7.7.4:
   version "7.7.4"
   resolved "https://registry.yarnpkg.com/semver/-/semver-7.7.4.tgz#28464e36060e991fa7a11d0279d2d3f3b57a7e8a"
   integrity sha512-vFKC2IEtQnVhpT78h1Yp8wzwrf8CM+MzKMHGJZfBtzhZNycRFnXsHk6E5TxIkkMsgNS7mdX3AGB7x2QM2di4lA==
@@ -4623,18 +4621,18 @@ ts-api-utils@^2.5.0:
   resolved "https://registry.yarnpkg.com/ts-api-utils/-/ts-api-utils-2.5.0.tgz#4acd4a155e22734990a5ed1fe9e97f113bcb37c1"
   integrity sha512-OJ/ibxhPlqrMM0UiNHJ/0CKQkoKF243/AEmplt3qpRgkW8VG7IfOS41h7V8TjITqdByHzrjcS/2si+y4lIh8NA==
 
-ts-jest@^29.4.6:
-  version "29.4.6"
-  resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.4.6.tgz#51cb7c133f227396818b71297ad7409bb77106e9"
-  integrity sha512-fSpWtOO/1AjSNQguk43hb/JCo16oJDnMJf3CdEGNkqsEX3t0KX96xvyX1D7PfLCpVoKu4MfVrqUkFyblYoY4lA==
+ts-jest@^29.4.9:
+  version "29.4.9"
+  resolved "https://registry.yarnpkg.com/ts-jest/-/ts-jest-29.4.9.tgz#47dc33d0f5c36bddcedd16afefae285e0b049d2d"
+  integrity sha512-LTb9496gYPMCqjeDLdPrKuXtncudeV1yRZnF4Wo5l3SFi0RYEnYRNgMrFIdg+FHvfzjCyQk1cLncWVqiSX+EvQ==
   dependencies:
     bs-logger "^0.2.6"
     fast-json-stable-stringify "^2.1.0"
-    handlebars "^4.7.8"
+    handlebars "^4.7.9"
     json5 "^2.2.3"
     lodash.memoize "^4.1.2"
     make-error "^1.3.6"
-    semver "^7.7.3"
+    semver "^7.7.4"
     type-fest "^4.41.0"
     yargs-parser "^21.1.1"
 
@@ -4849,16 +4847,11 @@ uri-js@^4.2.2:
   dependencies:
     punycode "^2.1.0"
 
-uuid@10.0.0, uuid@^10.0.0:
+uuid@^10.0.0:
   version "10.0.0"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
   integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
 
-uuid@^11.1.0:
-  version "11.1.0"
-  resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
-  integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
-
 uuid@^13.0.0:
   version "13.0.0"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"

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

@@ -9,8 +9,8 @@
   },
   "dependencies": {
     "@js-monorepo-example/shared": "*",
-    "@langchain/core": "^1.1.38",
-    "@langchain/langgraph": "^1.2.6"
+    "@langchain/core": "^1.1.42",
+    "@langchain/langgraph": "^1.2.9"
   },
   "devDependencies": {
     "typescript": "^5.9.3"

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

@@ -17,18 +17,18 @@
     "lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
   },
   "devDependencies": {
-    "turbo": "^2.9.3",
+    "turbo": "^2.9.14",
     "typescript": "^5.9.3",
     "@tsconfig/recommended": "^1.0.13",
     "@eslint/eslintrc": "^3.3.5",
     "@eslint/js": "^10.0.1",
-    "eslint": "^10.1.0",
+    "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": "^5.5.5",
-    "@typescript-eslint/eslint-plugin": "^8.58.0",
-    "@typescript-eslint/parser": "^8.58.0",
-    "prettier": "^3.8.1"
+    "@typescript-eslint/eslint-plugin": "^8.59.1",
+    "@typescript-eslint/parser": "^8.59.1",
+    "prettier": "^3.8.3"
   }
 }

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

@@ -19,26 +19,26 @@
   resolved "https://registry.yarnpkg.com/@eslint-community/regexpp/-/regexpp-4.12.2.tgz#bccdf615bcf7b6e8db830ec0b8d21c9a25de597b"
   integrity sha512-EriSTlt5OC9/7SXkRSCAhfSxxoSUgBm33OH+IkwbdpgoqsSsUg7y3uh+IICI/Qg4BBWr3U2i39RpmycbxMq4ew==
 
-"@eslint/config-array@^0.23.3":
-  version "0.23.3"
-  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.3.tgz#3f4a93dd546169c09130cbd10f2415b13a20a219"
-  integrity sha512-j+eEWmB6YYLwcNOdlwQ6L2OsptI/LO6lNBuLIqe5R7RetD658HLoF+Mn7LzYmAWWNNzdC6cqP+L6r8ujeYXWLw==
+"@eslint/config-array@^0.23.5":
+  version "0.23.5"
+  resolved "https://registry.yarnpkg.com/@eslint/config-array/-/config-array-0.23.5.tgz#56e86d243049195d8acc0c06a1b3dfdc3fa3de95"
+  integrity sha512-Y3kKLvC1dvTOT+oGlqNQ1XLqK6D1HU2YXPc52NmAlJZbMMWDzGYXMiPRJ8TYD39muD/OTjlZmNJ4ib7dvSrMBA==
   dependencies:
-    "@eslint/object-schema" "^3.0.3"
+    "@eslint/object-schema" "^3.0.5"
     debug "^4.3.1"
     minimatch "^10.2.4"
 
-"@eslint/config-helpers@^0.5.3":
-  version "0.5.3"
-  resolved "https://registry.yarnpkg.com/@eslint/config-helpers/-/config-helpers-0.5.3.tgz#721fe6bbb90d74b0c80d6ff2428e5bbcb002becb"
-  integrity sha512-lzGN0onllOZCGroKJmRwY6QcEHxbjBw1gwB8SgRSqK8YbbtEXMvKynsXc3553ckIEBxsbMBU7oOZXKIPGZNeZw==
+"@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" "^1.1.1"
+    "@eslint/core" "^1.2.1"
 
-"@eslint/core@^1.1.1":
-  version "1.1.1"
-  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.1.1.tgz#450f3d2be2d463ccd51119544092256b4e88df32"
-  integrity sha512-QUPblTtE51/7/Zhfv8BDwO0qkkzQL7P/aWWbqcf4xWLEYn1oKjdO0gglQBB4GAsu7u6wjijbCmzsUTy6mnk6oQ==
+"@eslint/core@^1.2.1":
+  version "1.2.1"
+  resolved "https://registry.yarnpkg.com/@eslint/core/-/core-1.2.1.tgz#c1da7cd1b82fa8787f98b5629fb811848a1b63ce"
+  integrity sha512-MwcE1P+AZ4C6DWlpin/OmOA54mmIZ/+xZuJiQd4SyB29oAJjN30UW9wkKNptW2ctp4cEsvhlLY/CsQ1uoHDloQ==
   dependencies:
     "@types/json-schema" "^7.0.15"
 
@@ -62,17 +62,17 @@
   resolved "https://registry.yarnpkg.com/@eslint/js/-/js-10.0.1.tgz#1e8a876f50117af8ab67e47d5ad94d38d6622583"
   integrity sha512-zeR9k5pd4gxjZ0abRoIaxdc7I3nDktoXZk2qOv9gCNWx3mVwEn32VRhyLaRsDiJjTs0xq/T8mfPtyuXu7GWBcA==
 
-"@eslint/object-schema@^3.0.3":
-  version "3.0.3"
-  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.3.tgz#5bf671e52e382e4adc47a9906f2699374637db6b"
-  integrity sha512-iM869Pugn9Nsxbh/YHRqYiqd23AmIbxJOcpUMOuWCVNdoQJ5ZtwL6h3t0bcZzJUlC3Dq9jCFCESBZnX0GTv7iQ==
+"@eslint/object-schema@^3.0.5":
+  version "3.0.5"
+  resolved "https://registry.yarnpkg.com/@eslint/object-schema/-/object-schema-3.0.5.tgz#88e9bf4d11d2b19c082e78ebe7ce88724a5eb091"
+  integrity sha512-vqTaUEgxzm+YDSdElad6PiRoX4t8VGDjCtt05zn4nU810UIx/uNEV7/lZJ6KwFThKZOzOxzXy48da+No7HZaMw==
 
-"@eslint/plugin-kit@^0.6.1":
-  version "0.6.1"
-  resolved "https://registry.yarnpkg.com/@eslint/plugin-kit/-/plugin-kit-0.6.1.tgz#eb9e6689b56ce8bc1855bb33090e63f3fc115e8e"
-  integrity sha512-iH1B076HoAshH1mLpHMgwdGeTs0CYwL0SPMkGuSebZrwBp16v415e9NZXg2jtrqPVQjf6IANe2Vtlr5KswtcZQ==
+"@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" "^1.1.1"
+    "@eslint/core" "^1.2.1"
     levn "^0.4.1"
 
 "@humanfs/core@^0.19.1":
@@ -103,10 +103,10 @@
   resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
   integrity sha512-AokJm4tuBHillT+FpMtxQ60n8ObyXBatq7jD2/JA9dxbDDokKQm8KMht5ibGzLVU9IJDIKK4TPKgMHEYMn3lMg==
 
-"@langchain/core@^1.1.38":
-  version "1.1.38"
-  resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.38.tgz#b5939b2e77af408771c9bb95bf56a5ad8183313e"
-  integrity sha512-C340wH1YL10CiVOFlEpQMp0zQE85/eBLKX/gi1Lv7shAyUmR3CQ0t/mXlCd5RsZa6ntAN1kDJnp64ArWey9XAA==
+"@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"
@@ -117,7 +117,6 @@
     langsmith ">=0.5.0 <1.0.0"
     mustache "^4.2.0"
     p-queue "^6.6.2"
-    uuid "^11.1.0"
     zod "^3.25.76 || ^4"
 
 "@langchain/langgraph-checkpoint@^1.0.1":
@@ -127,23 +126,23 @@
   dependencies:
     uuid "^10.0.0"
 
-"@langchain/langgraph-sdk@~1.8.1":
-  version "1.8.3"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph-sdk/-/langgraph-sdk-1.8.3.tgz#deedc9bddd863693c6ab5f3a74058548b040377d"
-  integrity sha512-Py0S5yVtlOHz410aEsSGLRKjtsK2giDvfPS1JjAjTdcs71khuJufFtUZFwmwdJCbsG4DaGurRLHOAJu9jO4a0g==
+"@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:
     "@types/json-schema" "^7.0.15"
     p-queue "^9.0.1"
     p-retry "^7.1.1"
     uuid "^13.0.0"
 
-"@langchain/langgraph@^1.2.6":
-  version "1.2.6"
-  resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.2.6.tgz#e6a578f96fbbc1c54ba78e0298884671dad5d195"
-  integrity sha512-5cX402dNGN6w9+0mlMU2dgUiKx6Y1tlENp7x05e9ByDbQCHSDc0kyqRWNFLGc7vatQ92S4ylxQrcCJvi8Fr4SQ==
+"@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" "^1.0.1"
-    "@langchain/langgraph-sdk" "~1.8.1"
+    "@langchain/langgraph-sdk" "~1.8.9"
     "@standard-schema/spec" "1.1.0"
     uuid "^10.0.0"
 
@@ -167,35 +166,35 @@
   resolved "https://registry.yarnpkg.com/@tsconfig/recommended/-/recommended-1.0.13.tgz#269fce3ad04ca70b93269ff44cca81b950f542da"
   integrity sha512-sySRuBfMKyKO/j2ZAhR8kSembhjuPEV4Ra3AHtmWLq51+iGaudr45crPSzNC5b7/Ctrh9dfUpBuTlYrH6rM58Q==
 
-"@turbo/darwin-64@2.9.3":
-  version "2.9.3"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.3.tgz#5d782d341ddebc20822d09ba1393238d4467ae7b"
-  integrity sha512-P8foouaP+y/p+hhEGBoZpzMbpVvUMwPjDpcy6wN7EYfvvyISD1USuV27qWkczecihwuPJzQ1lDBuL8ERcavTyg==
+"@turbo/darwin-64@2.9.14":
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-64/-/darwin-64-2.9.14.tgz#b9ec6ac637b9c5fdba5dae9d743f5d121f091242"
+  integrity sha512-t7QiPflaEyBE4oayeZtSmu4mEfjgIrcNlNNl1z1dmIVPqEdtA7+CfTf8d7KXsOGPh6aNgWjKxyvQg9uGfDQF+A==
 
-"@turbo/darwin-arm64@2.9.3":
-  version "2.9.3"
-  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.3.tgz#75cd662d9c2a572532ce82d7cae1a30e2497d693"
-  integrity sha512-SIzEkvtNdzdI50FJDaIQ6kQGqgSSdFPcdn0wqmmONN6iGKjy6hsT+EH99GP65FsfV7DLZTh2NmtTIRl2kdoz5Q==
+"@turbo/darwin-arm64@2.9.14":
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/@turbo/darwin-arm64/-/darwin-arm64-2.9.14.tgz#99d19f3e59842c595d2828c72a2e4ef537408f38"
+  integrity sha512-d23147mC9BsCPA9mJ0h/ubcpbRgcJBXbcG3+Vq7YLhjz3IXuvQsJ1UXH8f4MD76ZjJ4m/E4aRdJV+MW88CDfbw==
 
-"@turbo/linux-64@2.9.3":
-  version "2.9.3"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.3.tgz#de693a996071654a0bea51c7ed9dc6fdc3950ae8"
-  integrity sha512-pLRwFmcHHNBvsCySLS6OFabr/07kDT2pxEt/k6eBf/3asiVQZKJ7Rk88AafQx2aYA641qek4RsXvYO3JYpiBug==
+"@turbo/linux-64@2.9.14":
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-64/-/linux-64-2.9.14.tgz#9c907434f091cd75529f5496516f79b71935d2bb"
+  integrity sha512-P3ZKB5tuUDdDQWuAsACGUR1qv9W7BNWxdxqVJ0kZNuNNPRaVYTPPikLcp79+GiEcW3npsR+KyP38lnQiBc5aSA==
 
-"@turbo/linux-arm64@2.9.3":
-  version "2.9.3"
-  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.3.tgz#88fc6fe572d83c5488eeae9b564b57c335f4d856"
-  integrity sha512-gy6ApUroC2Nzv+qjGtE/uPNkhHAFU4c8God+zd5Aiv9L9uBgHlxVJpHT3XWl5xwlJZ2KWuMrlHTaS5kmNB+q1Q==
+"@turbo/linux-arm64@2.9.14":
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/@turbo/linux-arm64/-/linux-arm64-2.9.14.tgz#79ae9060e6ee9e0fb784ae0747e980f582e75313"
+  integrity sha512-ZRTlzcUMrrPv9ZuDzRF9n60Ym13bKeG9jDB8WjxyLhWNzV+AJQN+zdpIk3NJYf2zQsGUm1mNar2P0elRzLw25g==
 
-"@turbo/windows-64@2.9.3":
-  version "2.9.3"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.3.tgz#a7812e4f33972f74daed93b2ac8845f88a68c775"
-  integrity sha512-d0YelTX6hAsB7kIEtGB3PzIzSfAg3yDoUlHwuwJc3adBXUsyUIs0YLG+1NNtuhcDOUGnWQeKUoJ2pGWvbpRj7w==
+"@turbo/windows-64@2.9.14":
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-64/-/windows-64-2.9.14.tgz#68a80f299f35189314184c88301caad982d1c0c2"
+  integrity sha512-exanwN6sIduZwykYeiTQj8kCmOhazP5WOz3bvXMcYtjhL6Z3iRWLewKrXCBq0bqwSP3iBMb/AerRCnHI4lx46A==
 
-"@turbo/windows-arm64@2.9.3":
-  version "2.9.3"
-  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.3.tgz#1891a89fe87d501e63a7a4367082f3afec18fa6f"
-  integrity sha512-/08CwpKJl3oRY8nOlh2YgilZVJDHsr60XTNxRhuDeuFXONpUZ5X+Nv65izbG/xBew9qxcJFbDX9/sAmAX+ITcQ==
+"@turbo/windows-arm64@2.9.14":
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/@turbo/windows-arm64/-/windows-arm64-2.9.14.tgz#4dc16684f0ddce53fafe56ad8f55205c4473d17a"
+  integrity sha512-fVdCsnmYoKICsycbWuuGp6Jvi51/3G/UluFWuAUCvR8PIW5IJkAk5BM9UF8PSm0Q2IphWHFZjYEgjHsh3B9y/g==
 
 "@types/esrecurse@^4.3.1":
   version "4.3.1"
@@ -217,100 +216,100 @@
   resolved "https://registry.yarnpkg.com/@types/json5/-/json5-0.0.29.tgz#ee28707ae94e11d2b827bcbe5270bcea7f3e71ee"
   integrity sha512-dRLjCWHYg4oaA77cxO64oO+7JwCwnIzkZPdrrC71jQmQtlhM556pwKo5bUzqvZndkVbeFLIIi+9TC40JNF5hNQ==
 
-"@typescript-eslint/eslint-plugin@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/eslint-plugin/-/eslint-plugin-8.58.0.tgz#ad40e492f1931f46da1bd888e52b9e56df9063aa"
-  integrity sha512-RLkVSiNuUP1C2ROIWfqX+YcUfLaSnxGE/8M+Y57lopVwg9VTYYfhuz15Yf1IzCKgZj6/rIbYTmJCUSqr76r0Wg==
+"@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" "8.58.0"
-    "@typescript-eslint/type-utils" "8.58.0"
-    "@typescript-eslint/utils" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@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@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/parser/-/parser-8.58.0.tgz#da04ece1967b6c2fe8f10c3473dabf3825795ef7"
-  integrity sha512-rLoGZIf9afaRBYsPUMtvkDWykwXwUPL60HebR4JgTI8mxfFe2cQTu3AGitANp4b9B2QlVru6WzjgB2IzJKiCSA==
+"@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" "8.58.0"
-    "@typescript-eslint/types" "8.58.0"
-    "@typescript-eslint/typescript-estree" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/project-service/-/project-service-8.58.0.tgz#66ceda0aabf7427aec3e2713fa43eb278dead2aa"
-  integrity sha512-8Q/wBPWLQP1j16NxoPNIKpDZFMaxl7yWIoqXWYeWO+Bbd2mjgvoF0dxP2jKZg5+x49rgKdf7Ck473M8PC3V9lg==
+"@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" "^8.58.0"
-    "@typescript-eslint/types" "^8.58.0"
+    "@typescript-eslint/tsconfig-utils" "^8.59.1"
+    "@typescript-eslint/types" "^8.59.1"
     debug "^4.4.3"
 
-"@typescript-eslint/scope-manager@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/scope-manager/-/scope-manager-8.58.0.tgz#e304142775e49a1b7ac3c8bf2536714447c72cab"
-  integrity sha512-W1Lur1oF50FxSnNdGp3Vs6P+yBRSmZiw4IIjEeYxd8UQJwhUF0gDgDD/W/Tgmh73mxgEU3qX0Bzdl/NGuSPEpQ==
+"@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" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/visitor-keys" "8.59.1"
 
-"@typescript-eslint/tsconfig-utils@8.58.0", "@typescript-eslint/tsconfig-utils@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/tsconfig-utils/-/tsconfig-utils-8.58.0.tgz#c5a8edb21f31e0fdee565724e1b984171c559482"
-  integrity sha512-doNSZEVJsWEu4htiVC+PR6NpM+pa+a4ClH9INRWOWCUzMst/VA9c4gXq92F8GUD1rwhNvRLkgjfYtFXegXQF7A==
+"@typescript-eslint/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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/type-utils/-/type-utils-8.58.0.tgz#ce0e72cd967ffbbe8de322db6089bd4374be352f"
-  integrity sha512-aGsCQImkDIqMyx1u4PrVlbi/krmDsQUs4zAcCV6M7yPcPev+RqVlndsJy9kJ8TLihW9TZ0kbDAzctpLn5o+lOg==
+"@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" "8.58.0"
-    "@typescript-eslint/typescript-estree" "8.58.0"
-    "@typescript-eslint/utils" "8.58.0"
+    "@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@8.58.0", "@typescript-eslint/types@^8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/types/-/types-8.58.0.tgz#e94ae7abdc1c6530e71183c1007b61fa93112a5a"
-  integrity sha512-O9CjxypDT89fbHxRfETNoAnHj/i6IpRK0CvbVN3qibxlLdo5p5hcLmUuCCrHMpxiWSwKyI8mCP7qRNYuOJ0Uww==
+"@typescript-eslint/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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.58.0.tgz#ed233faa8e2f2a2e1357c3e7d553d6465a0ee59a"
-  integrity sha512-7vv5UWbHqew/dvs+D3e1RvLv1v2eeZ9txRHPnEEBUgSNLx5ghdzjHa0sgLWYVKssH+lYmV0JaWdoubo0ncGYLA==
+"@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" "8.58.0"
-    "@typescript-eslint/tsconfig-utils" "8.58.0"
-    "@typescript-eslint/types" "8.58.0"
-    "@typescript-eslint/visitor-keys" "8.58.0"
+    "@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@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.58.0.tgz#21a74a7963b0d288b719a4121c7dd555adaab3c3"
-  integrity sha512-RfeSqcFeHMHlAWzt4TBjWOAtoW9lnsAGiP3GbaX9uVgTYYrMbVnGONEfUCiSss+xMHFl+eHZiipmA8WkQ7FuNA==
+"@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" "8.58.0"
-    "@typescript-eslint/types" "8.58.0"
-    "@typescript-eslint/typescript-estree" "8.58.0"
+    "@typescript-eslint/scope-manager" "8.59.1"
+    "@typescript-eslint/types" "8.59.1"
+    "@typescript-eslint/typescript-estree" "8.59.1"
 
-"@typescript-eslint/visitor-keys@8.58.0":
-  version "8.58.0"
-  resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.58.0.tgz#2abd55a4be70fd55967aceaba4330b9ba9f45189"
-  integrity sha512-XJ9UD9+bbDo4a4epraTwG3TsNPeiB9aShrUneAVXy8q4LuwowN+qu89/6ByLMINqvIMeI9H9hOHQtg/ijrYXzQ==
+"@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" "8.58.0"
+    "@typescript-eslint/types" "8.59.1"
     eslint-visitor-keys "^5.0.0"
 
 acorn-jsx@^5.3.2:
@@ -787,17 +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@^10.1.0:
-  version "10.1.0"
-  resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.1.0.tgz#9ca98e654e642ab2e1af6d1e9d8613857ac341b4"
-  integrity sha512-S9jlY/ELKEUwwQnqWDO+f+m6sercqOPSqXM5Go94l7DOmxHVDgmSFGWEzeE/gwgTAr0W103BWt0QLe/7mabIvA==
+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" "^0.23.3"
-    "@eslint/config-helpers" "^0.5.3"
-    "@eslint/core" "^1.1.1"
-    "@eslint/plugin-kit" "^0.6.1"
+    "@eslint/config-array" "^0.23.5"
+    "@eslint/config-helpers" "^0.5.5"
+    "@eslint/core" "^1.2.1"
+    "@eslint/plugin-kit" "^0.7.1"
     "@humanfs/node" "^0.16.6"
     "@humanwhocodes/module-importer" "^1.0.1"
     "@humanwhocodes/retry" "^0.4.2"
@@ -1328,12 +1327,11 @@ keyv@^4.5.4:
     json-buffer "3.0.1"
 
 "langsmith@>=0.5.0 <1.0.0":
-  version "0.5.20"
-  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.5.20.tgz#4021847d2ccd5a86c5eb96060f9bb5f19f80eca5"
-  integrity sha512-ULhLM8RswvQDXufLtNtvclHrWCBx8Cb5UPI6lAZC+8Dq59iHsVPz/3Ac9khWNm1VIvChRsuykixD/WrmzuuA3Q==
+  version "0.7.1"
+  resolved "https://registry.yarnpkg.com/langsmith/-/langsmith-0.7.1.tgz#d721ad2e5211f9a5373e8a84eb4fed36b5621971"
+  integrity sha512-Wjk90UjNoY5cBHMlNAC/eZx5clI8jnjBOBW8uJu8+MWBtx0QesNjsUiLtjI+I3UnrpxFFpDqGXcnhBjH654Mqg==
   dependencies:
     p-queue "6.6.2"
-    uuid "10.0.0"
 
 levn@^0.4.1:
   version "0.4.1"
@@ -1559,10 +1557,10 @@ prettier-linter-helpers@^1.0.1:
   dependencies:
     fast-diff "^1.1.2"
 
-prettier@^3.8.1:
-  version "3.8.1"
-  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.1.tgz#edf48977cf991558f4fcbd8a3ba6015ba2a3a173"
-  integrity sha512-UOnG6LftzbdaHZcKoPFtOcCKztrQ57WkHDeRD9t/PTQtmT0NHSeWWepj6pS0z/N7+08BHFDQVUrfmfMRcZwbMg==
+prettier@^3.8.3:
+  version "3.8.3"
+  resolved "https://registry.yarnpkg.com/prettier/-/prettier-3.8.3.tgz#560f2de55bf01b4c0503bc629d5df99b9a1d09b0"
+  integrity sha512-7igPTM53cGHMW8xWuVTydi2KO233VFiTNyF5hLJqpilHfmn8C8gPf+PS7dUT64YcXFbiMGZxS9pCSxL/Dxm/Jw==
 
 punycode@^2.1.0:
   version "2.3.1"
@@ -1815,17 +1813,17 @@ tsconfig-paths@^3.15.0:
     minimist "^1.2.6"
     strip-bom "^3.0.0"
 
-turbo@^2.9.3:
-  version "2.9.3"
-  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.3.tgz#4f0adf2c8677edd7b46d400629c99e9e26e58e44"
-  integrity sha512-J/VUvsGRykPb9R8Kh8dHVBOqioDexLk9BhLCU/ZybRR+HN9UR3cURdazFvNgMDt9zPP8TF6K73Z+tplfmi0PqQ==
+turbo@^2.9.14:
+  version "2.9.14"
+  resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.9.14.tgz#d412fcc4c9bd8dba29cec5bbd54d5a74ab2b1bee"
+  integrity sha512-BQqXRr4UoWI3UPFrtznCLykYHxwxWh53iCB57x092jPMjIlW1wnm3N895g5irpiXmnxUhREBB0n6+y8BHhs4nw==
   optionalDependencies:
-    "@turbo/darwin-64" "2.9.3"
-    "@turbo/darwin-arm64" "2.9.3"
-    "@turbo/linux-64" "2.9.3"
-    "@turbo/linux-arm64" "2.9.3"
-    "@turbo/windows-64" "2.9.3"
-    "@turbo/windows-arm64" "2.9.3"
+    "@turbo/darwin-64" "2.9.14"
+    "@turbo/darwin-arm64" "2.9.14"
+    "@turbo/linux-64" "2.9.14"
+    "@turbo/linux-arm64" "2.9.14"
+    "@turbo/windows-64" "2.9.14"
+    "@turbo/windows-arm64" "2.9.14"
 
 type-check@^0.4.0, type-check@~0.4.0:
   version "0.4.0"
@@ -1901,16 +1899,11 @@ uri-js@^4.2.2:
   dependencies:
     punycode "^2.1.0"
 
-uuid@10.0.0, uuid@^10.0.0:
+uuid@^10.0.0:
   version "10.0.0"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
   integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
 
-uuid@^11.1.0:
-  version "11.1.0"
-  resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
-  integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
-
 uuid@^13.0.0:
   version "13.0.0"
   resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.24"
+__version__ = "0.4.27"

libs/cli/langgraph_cli/config.py

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

libs/cli/langgraph_cli/dependency_tracking.py

@@ -0,0 +1,141 @@
+"""Detection of tracked Python packages in a local LangGraph project.
+
+Mirrors host-backend's `host.models.dependency_tracking` so that CLI-based
+deploys report the same `tracked_packages` revision metadata that
+GitHub-based deploys do. The host backend strictly validates each entry
+against `<package-name>:<version>` with package-name in `TRACKED_PACKAGES`,
+so the detection rules here must match exactly.
+"""
+
+from __future__ import annotations
+
+import pathlib
+import re
+
+# Single source of truth for which packages the host backend cares about.
+# Keep in sync with host-backend/host/models/tracked_packages.py.
+TRACKED_PACKAGES: tuple[str, ...] = ("google-adk",)
+
+_MAX_READ_BYTES = 5 * 1024 * 1024
+
+_PACKAGES_ALT = "|".join(re.escape(p) for p in TRACKED_PACKAGES)
+
+_DEPS_RE = re.compile(
+    rf"(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})"
+    r"(?:\[[^\]]*\])?"
+    r"\s*((?:(?:==|>=|<=|~=|!=|>|<)\s*[\w.*]+\s*,?\s*)+)"
+)
+
+_UV_LOCK_RE = re.compile(
+    rf'name\s*=\s*"({_PACKAGES_ALT})"\s*\n\s*version\s*=\s*"([^"]+)"'
+)
+
+_BARE_RE = re.compile(rf'(?<![a-zA-Z0-9_-])({_PACKAGES_ALT})(?:\[[^\]]*\])?\s*[,"\'\n]')
+
+_EXTRAS_BRACKET_RE = re.compile(r"\[([a-zA-Z0-9_.\- ,\t]+)\]")
+
+
+def _appears_in_extras(content: str, pkg: str) -> bool:
+    for m in _EXTRAS_BRACKET_RE.finditer(content):
+        for token in m.group(1).split(","):
+            if token.strip() == pkg:
+                return True
+    return False
+
+
+def _read_text(path: pathlib.Path) -> str | None:
+    try:
+        if not path.is_file():
+            return None
+        with open(path, "rb") as f:
+            data = f.read(_MAX_READ_BYTES + 1)
+    except OSError:
+        return None
+    if len(data) > _MAX_READ_BYTES:
+        data = data[:_MAX_READ_BYTES]
+    return data.decode("utf-8", errors="replace")
+
+
+def _find_version_for(
+    pkg: str,
+    lock_content: str | None,
+    pyproject_content: str | None,
+    requirements_content: str | None,
+) -> str | None:
+    if lock_content is not None:
+        for m in _UV_LOCK_RE.finditer(lock_content):
+            if m.group(1) == pkg:
+                return m.group(2)
+    for content in (pyproject_content, requirements_content):
+        if content is None:
+            continue
+        for m in _DEPS_RE.finditer(content):
+            if m.group(1) == pkg:
+                return m.group(2).strip().rstrip(",")
+        for m in _BARE_RE.finditer(content):
+            if m.group(1) == pkg:
+                return "unknown"
+        if _appears_in_extras(content, pkg):
+            return "unknown"
+    return None
+
+
+def _resolved_dep_base(
+    project_root: pathlib.Path, dep_path: str
+) -> pathlib.Path | None:
+    """Return the resolved dep directory if it stays inside the project root."""
+    try:
+        candidate = (project_root / dep_path).resolve()
+    except (OSError, RuntimeError):
+        return None
+    try:
+        candidate.relative_to(project_root)
+    except ValueError:
+        return None
+    return candidate
+
+
+def find_tracked_packages(
+    config: pathlib.Path,
+    config_json: dict,
+) -> list[str]:
+    """Return every tracked package found in deps as `<name>:<version>` entries.
+
+    `config` is the absolute path to `langgraph.json`; dep paths in
+    `config_json["dependencies"]` are resolved relative to its parent.
+    Detection precedence per package: uv.lock resolved > pyproject.toml /
+    requirements.txt specifier > bare reference > extras bracket (last
+    two recorded as "unknown"). Output is ordered by `TRACKED_PACKAGES`.
+    """
+    try:
+        project_root = config.parent.resolve()
+    except (OSError, RuntimeError):
+        return []
+
+    dep_paths = config_json.get("dependencies") or ["."]
+
+    found: dict[str, str] = {}
+
+    for dep_path in dep_paths:
+        if all(pkg in found for pkg in TRACKED_PACKAGES):
+            break
+        if not isinstance(dep_path, str):
+            continue
+        base = _resolved_dep_base(project_root, dep_path)
+        if base is None or not base.is_dir():
+            continue
+
+        lock_content = _read_text(base / "uv.lock")
+        pyproject_content = _read_text(base / "pyproject.toml")
+        requirements_content = _read_text(base / "requirements.txt")
+
+        for pkg in TRACKED_PACKAGES:
+            if pkg in found:
+                continue
+            version = _find_version_for(
+                pkg, lock_content, pyproject_content, requirements_content
+            )
+            if version is not None:
+                found[pkg] = version
+
+    return [f"{pkg}:{found[pkg]}" for pkg in TRACKED_PACKAGES if pkg in found]

libs/cli/langgraph_cli/deploy.py

@@ -20,6 +20,7 @@ from dotenv import dotenv_values, set_key
 import langgraph_cli.config
 from langgraph_cli.analytics import log_command
 from langgraph_cli.constants import DEFAULT_CONFIG
+from langgraph_cli.dependency_tracking import find_tracked_packages
 from langgraph_cli.docker import build_docker_image, can_build_locally
 from langgraph_cli.exec import Runner, subp_exec
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError
@@ -115,6 +116,172 @@ class BuildResult:
     show_build_logs_on_failure: bool = False
 
 
+# ---------------------------------------------------------------------------
+# Structured output emitter
+# ---------------------------------------------------------------------------
+
+_emitter: "_Emitter | None" = None
+_no_input: bool = False
+
+
+class _Emitter:
+    """Dual-mode output: JSON-lines (``--json``) or human-readable click text."""
+
+    def __init__(self, json_mode: bool) -> None:
+        self._json = json_mode
+
+    @property
+    def json_mode(self) -> bool:
+        return self._json
+
+    # -- Structured event helpers ------------------------------------------
+
+    def step(self, step: int, message: str, **extra: object) -> None:
+        if self._json:
+            self._write({"event": "step", "step": step, "message": message, **extra})
+        else:
+            click.secho(f"{step}. {message}", fg="cyan")
+
+    def info(self, message: str, **extra: object) -> None:
+        if self._json:
+            self._write({"event": "info", "message": message, **extra})
+        else:
+            click.secho(f"   {message}", fg="green")
+
+    def warn(self, message: str, **extra: object) -> None:
+        """Warning nested under a step. Text mode indents; JSON mode strips leading whitespace."""
+        if self._json:
+            self._write({"event": "warn", "message": message.lstrip(), **extra})
+        else:
+            click.secho(f"   {message}", fg="yellow")
+
+    def note(self, message: str, **extra: object) -> None:
+        """Top-level banner (pre-step). Text mode does not indent."""
+        if self._json:
+            self._write({"event": "note", "message": message, **extra})
+        else:
+            click.secho(message, fg="yellow")
+
+    def error(self, message: str, **extra: object) -> None:
+        if self._json:
+            self._write({"event": "error", "message": message, **extra})
+        else:
+            click.secho(f"   {message}", fg="red")
+
+    def status_change(
+        self,
+        status: str,
+        elapsed_seconds: float,
+        finished: bool = False,
+    ) -> None:
+        mins, secs = divmod(int(elapsed_seconds), 60)
+        elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
+        if self._json:
+            self._write(
+                {
+                    "event": "status_change",
+                    "status": status,
+                    "elapsed_seconds": round(elapsed_seconds, 1),
+                    "message": f"{status}... ({elapsed_str})",
+                }
+            )
+        else:
+            click.echo(f"   {status}... ({elapsed_str})")
+
+    def log(self, message: str) -> None:
+        if self._json:
+            self._write({"event": "log", "message": message})
+        else:
+            click.echo(f"   | {message}")
+
+    def status_url(self, url: str) -> None:
+        if self._json:
+            self._write({"event": "status_url", "url": url})
+        else:
+            click.secho(f"   View status: {url}", fg="cyan")
+
+    def result(
+        self,
+        status: str,
+        *,
+        deployment_id: str,
+        url: str | None = None,
+        status_url: str | None = None,
+        fallback_status_message: str | None = None,
+    ) -> None:
+        if self._json:
+            if status == "succeeded":
+                message = "Deployment successful!"
+            elif status == "failed":
+                message = "Deployment failed"
+            else:
+                message = "Timed out waiting for deployment."
+            payload: dict = {
+                "event": "result",
+                "status": status,
+                "deployment_id": deployment_id,
+                "message": message,
+            }
+            if url:
+                payload["url"] = url
+            if status_url:
+                payload["status_url"] = status_url
+            self._write(payload)
+        else:
+            if status == "succeeded":
+                click.secho("   Deployment successful!", fg="green")
+                if url:
+                    click.secho(f"   URL: {url}", fg="green")
+                if status_url:
+                    click.secho(f"   View status: {status_url}", fg="green")
+            elif status == "failed":
+                click.secho("   Deployment failed", fg="red")
+                if status_url:
+                    click.secho(f"   View status: {status_url}", fg="red")
+            elif status == "timed_out":
+                click.secho("   Timed out waiting for deployment.", fg="yellow")
+                if status_url:
+                    click.secho(f"   Check status at: {status_url}", fg="yellow")
+                elif fallback_status_message:
+                    click.secho(f"   {fallback_status_message}", fg="yellow")
+
+    def heartbeat(self, status: str, elapsed_seconds: float) -> None:
+        if self._json:
+            mins, secs = divmod(int(elapsed_seconds), 60)
+            elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
+            self._write(
+                {
+                    "event": "heartbeat",
+                    "status": status,
+                    "elapsed_seconds": round(elapsed_seconds, 1),
+                    "message": f"{status}... ({elapsed_str})",
+                }
+            )
+
+    def upload_progress(self, size_mb: float, pct: int) -> None:
+        if self._json:
+            self._write(
+                {
+                    "event": "upload_progress",
+                    "size_mb": round(size_mb, 1),
+                    "pct": pct,
+                }
+            )
+        else:
+            click.echo(f"\r   Uploading ({size_mb:.1f} MB)... {pct}%", nl=False)
+
+    def _write(self, obj: dict) -> None:
+        import sys as _sys
+
+        _sys.stdout.write(json_mod.dumps(obj, default=str) + "\n")
+        _sys.stdout.flush()
+
+
+def _get_emitter() -> _Emitter:
+    """Return the module-level emitter (falls back to text mode)."""
+    return _emitter or _Emitter(json_mode=False)
+
+
 # ---------------------------------------------------------------------------
 # Validators
 # ---------------------------------------------------------------------------
@@ -172,15 +339,16 @@ def find_deployment_id_by_name(
 # ---------------------------------------------------------------------------
 
 
-def normalize_image_name(value: str | None) -> str:
-    """Sanitize a deployment/directory name into a valid Docker repository name.
+def normalize_name(value: str | None) -> str:
+    """Sanitize a deployment/directory name into a valid deployment name.
 
-    Docker repository names must be lowercase and may only contain
-    [a-z0-9._-].  Invalid characters are replaced with hyphens.
+    LangSmith Deployment names only allow lowercase
+    alphanumeric characters and hyphens ([a-z0-9-]).
+    Invalid characters are replaced with hyphens.
     """
     if not value:
         return "app"
-    slug = re.sub(r"[^a-z0-9._-]+", "-", value.lower()).strip("-.")
+    slug = re.sub(r"[^a-z0-9-]+", "-", value.lower()).strip("-")
     return slug or "app"
 
 
@@ -307,9 +475,8 @@ def _resolve_env_path(
     if isinstance(env_field, str):
         env_path = (config_path.parent / env_field).resolve()
         if not env_path.exists():
-            click.secho(
-                f"Warning: env file '{env_field}' specified in langgraph.json not found.",
-                fg="yellow",
+            _get_emitter().note(
+                f"Warning: env file '{env_field}' specified in langgraph.json not found."
             )
             return None
         return env_path
@@ -343,7 +510,7 @@ def _secrets_from_env(
     secrets: list[dict[str, str]] = []
     for name, value in env_vars.items():
         if name in RESERVED_ENV_VARS:
-            click.secho(f"   Skipping reserved env var: {name}", fg="yellow")
+            _get_emitter().note(f"Skipping reserved env var: {name}")
             continue
         if not value:
             continue
@@ -386,8 +553,8 @@ def _resolve_build_mode(
 # ---------------------------------------------------------------------------
 
 
-def _log_deploy_step(step: int, message: str) -> None:
-    click.secho(f"{step}. {message}", fg="cyan")
+def _log_deploy_step(step: int, message: str, **extra: object) -> None:
+    _get_emitter().step(step, message, **extra)
 
 
 def _resolve_deployment(
@@ -411,12 +578,13 @@ def _resolve_deployment(
     found_id = _call_host_backend_with_optional_tenant(
         client, lambda c: find_deployment_id_by_name(c, name)
     )
+    em = _get_emitter()
     if found_id:
         deployment_id = str(found_id)
-        click.secho(f"   Found existing deployment (ID: {deployment_id})", fg="green")
+        em.info(f"Found existing deployment (ID: {deployment_id})")
     else:
         needs_creation = True
-        click.secho(not_found_message, fg="yellow")
+        em.warn(not_found_message)
     return deployment_id, needs_creation, step + 1
 
 
@@ -444,7 +612,7 @@ def _create_deployment(
         raise HostBackendError(
             "POST /v2/deployments succeeded but response missing a valid 'id'"
         )
-    click.secho(f"   Deployment ID: {created_id}", fg="green")
+    _get_emitter().info(f"Deployment ID: {created_id}", deployment_id=created_id)
     return created_id, step + 1
 
 
@@ -458,21 +626,36 @@ def _smith_dashboard_base_url(host_url: str | None) -> str:
     hostname = parsed.hostname or ""
     if hostname in ("localhost", "127.0.0.1"):
         return host_url.rstrip("/")
-    if hostname.startswith("eu."):
-        return "https://eu.smith.langchain.com"
+
+    api_host_suffix = "api.host.langchain.com"
+    if hostname == api_host_suffix:
+        return "https://smith.langchain.com"
+    if hostname.endswith(f".{api_host_suffix}"):
+        prefix = hostname[: -(len(api_host_suffix) + 1)]
+        return f"https://{prefix}.smith.langchain.com"
+
     return "https://smith.langchain.com"
 
 
-def _print_deployment_status_url(
+def _get_deployment_status_url(
     updated: object, deployment_id: str, host_url: str | None = None
-) -> None:
-    """Print the deployment status URL when tenant metadata is available."""
+) -> str | None:
+    """Compute the LangSmith dashboard URL for a deployment, if possible."""
     tenant_id = updated.get("tenant_id") if isinstance(updated, dict) else None
     if not tenant_id:
-        return
+        return None
     base = _smith_dashboard_base_url(host_url)
-    status_url = f"{base}/o/{tenant_id}/host/deployments/{deployment_id}"
-    click.secho(f"   View status: {status_url}", fg="cyan")
+    return f"{base}/o/{tenant_id}/host/deployments/{deployment_id}"
+
+
+def _emit_deployment_status_url(
+    updated: object, deployment_id: str, host_url: str | None = None
+) -> str | None:
+    """Emit the deployment status URL and return it."""
+    url = _get_deployment_status_url(updated, deployment_id, host_url)
+    if url:
+        _get_emitter().status_url(url)
+    return url
 
 
 def _poll_revision_status(
@@ -486,6 +669,7 @@ def _poll_revision_status(
     on_interrupt: Callable[[str], None] | None = None,
 ) -> tuple[str, str | None]:
     """Poll latest revision status until terminal status or timeout."""
+    em = _get_emitter()
     revisions_resp = client.list_revisions(deployment_id, limit=1)
     resources = (
         revisions_resp.get("resources", []) if isinstance(revisions_resp, dict) else []
@@ -497,7 +681,11 @@ def _poll_revision_status(
     last_status = ""
     deadline = time.time() + timeout_seconds
     start_time = time.monotonic()
-    with Progress(message=progress_message, elapsed=True) as set_progress:
+    last_heartbeat = start_time
+    json_mode = em.json_mode
+    with Progress(
+        message=progress_message, elapsed=True, json_mode=json_mode
+    ) as set_progress:
         while time.time() < deadline:
             try:
                 rev = client.get_revision(deployment_id, revision_id)
@@ -514,14 +702,15 @@ def _poll_revision_status(
             if status != last_status:
                 set_progress("")
                 if last_status:
-                    elapsed = time.monotonic() - start_time
-                    mins, secs = divmod(int(elapsed), 60)
-                    elapsed_str = f"{mins}m {secs:02d}s" if mins else f"{secs}s"
-                    click.echo(f"   {last_status}... ({elapsed_str})")
+                    em.status_change(last_status, time.monotonic() - start_time)
                 last_status = status
                 if status in _TERMINAL_STATUSES:
                     break
                 set_progress(f"{status}...")
+                last_heartbeat = time.monotonic()
+            elif json_mode and time.monotonic() - last_heartbeat > 10:
+                em.heartbeat(last_status, time.monotonic() - start_time)
+                last_heartbeat = time.monotonic()
 
             if on_poll is not None:
                 on_poll(status, revision_id, set_progress)
@@ -538,8 +727,10 @@ def _print_deployment_result(
     last_status: str,
     *,
     dashboard_label: str,
+    status_url: str | None = None,
 ) -> None:
     """Print final deployment status and raise on failure."""
+    em = _get_emitter()
     dep_info = client.get_deployment(deployment_id)
     custom_url = None
     if isinstance(dep_info, dict):
@@ -548,24 +739,28 @@ def _print_deployment_result(
             custom_url = sc.get("custom_url")
 
     if last_status == "DEPLOYED":
-        click.secho("   Deployment successful!", fg="green")
-        if custom_url:
-            click.secho(f"   URL: {custom_url}", fg="green")
+        em.result(
+            "succeeded",
+            deployment_id=deployment_id,
+            url=custom_url,
+            status_url=status_url,
+        )
     elif last_status in ("BUILD_FAILED", "DEPLOY_FAILED", "CREATE_FAILED"):
-        click.secho(f"   Deployment failed: {last_status}", fg="red")
+        em.result(
+            "failed",
+            deployment_id=deployment_id,
+            status_url=status_url,
+        )
         raise click.exceptions.Exit(1)
     else:
-        click.secho(
-            f"   Timed out waiting for deployment (last status: {last_status}).",
-            fg="yellow",
+        em.result(
+            "timed_out",
+            deployment_id=deployment_id,
+            status_url=status_url,
+            fallback_status_message=(
+                f"Check status in the LangSmith {dashboard_label}."
+            ),
         )
-        if custom_url:
-            click.secho(f"   Check status at: {custom_url}", fg="yellow")
-        else:
-            click.secho(
-                f"   Check status in the LangSmith {dashboard_label}.",
-                fg="yellow",
-            )
 
 
 # ---------------------------------------------------------------------------
@@ -594,14 +789,16 @@ def _docker_config_for_token(registry_host: str, token: str):
 # ---------------------------------------------------------------------------
 
 _UPLOAD_TIMEOUT_SECONDS = 300
+_BYTES_PER_MIB = 1_048_576
 
 
 class _ProgressReader:
-    """File-like wrapper that displays upload progress via click."""
+    """File-like wrapper that reports upload progress via the emitter."""
 
-    def __init__(self, fobj, file_size: int):
+    def __init__(self, fobj, file_size: int, emitter: "_Emitter"):
         self._fobj = fobj
         self._file_size = file_size
+        self._emitter = emitter
         self._uploaded = 0
 
     def read(self, size=-1):
@@ -611,10 +808,7 @@ class _ProgressReader:
             pct = (
                 int(self._uploaded * 100 / self._file_size) if self._file_size else 100
             )
-            click.echo(
-                f"\r   Uploading ({self._file_size / 1_048_576:.1f} MB)... {pct}%",
-                nl=False,
-            )
+            self._emitter.upload_progress(self._file_size / _BYTES_PER_MIB, pct)
         return data
 
     def __len__(self):
@@ -626,10 +820,13 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
     import urllib.error
     import urllib.request
 
+    em = _get_emitter()
+
     with open(file_path, "rb") as f:
+        reader = _ProgressReader(f, file_size, em)
         req = urllib.request.Request(
             signed_url,
-            data=_ProgressReader(f, file_size),
+            data=reader,
             method="PUT",
             headers={
                 "Content-Type": "application/gzip",
@@ -644,7 +841,8 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
             raise click.ClickException(
                 f"Upload failed with status {err.code}: {detail}"
             ) from None
-    click.echo()
+    if not em.json_mode:
+        click.echo()
 
 
 # ---------------------------------------------------------------------------
@@ -652,6 +850,41 @@ def _upload_to_gcs(signed_url: str, file_path: str, file_size: int) -> None:
 # ---------------------------------------------------------------------------
 
 
+def _resolve_pushed_image_digest(
+    runner,
+    *,
+    remote_image: str,
+    docker_config_dir: str | None,
+    verbose: bool,
+) -> str:
+    """Return ``{registry}/{repo}@sha256:<hex>`` for a freshly-pushed image.
+
+    Reads ``RepoDigests`` via ``docker image inspect`` — the local daemon
+    records the registry's manifest digest there after a successful push.
+    Falls back to ``remote_image`` with a warning if no matching digest is
+    found, rather than failing the deploy.
+    """
+    # rsplit preserves ``:port`` in the registry host.
+    repo_no_tag = remote_image.rsplit(":", 1)[0]
+    args: list[str] = ["docker"]
+    if docker_config_dir:
+        args += ["--config", docker_config_dir]
+    args += ["image", "inspect", "--format", "{{json .RepoDigests}}", remote_image]
+    stdout, _ = runner.run(subp_exec(*args, collect=True, verbose=verbose))
+    try:
+        digests = json_mod.loads(stdout or "[]") or []
+    except json_mod.JSONDecodeError:
+        digests = []
+    for d in digests:
+        if isinstance(d, str) and d.startswith(f"{repo_no_tag}@sha256:"):
+            return d
+    _get_emitter().warn(
+        f"Could not resolve image digest for {remote_image}; "
+        "falling back to the tag-based reference. Re-run with --verbose for details."
+    )
+    return remote_image
+
+
 def _run_local_build(
     *,
     client: HostBackendClient,
@@ -670,6 +903,7 @@ def _run_local_build(
     build_command: str | None,
     docker_build_args: Sequence[str],
     secrets: list[dict[str, str]],
+    tracked_packages: list[str] | None,
 ) -> BuildResult:
     """Build locally with Docker, push to registry, update deployment."""
     # Use buildx to cross-compile for amd64 when running on a non-x86_64 host
@@ -752,7 +986,7 @@ def _run_local_build(
         if "://" in normalized_registry:
             normalized_registry = normalized_registry.split("//", 1)[1]
         repo_seed = image_name or name or config.parent.name
-        repo_name = normalize_image_name(repo_seed)
+        repo_name = normalize_name(repo_seed)
         tag_value = normalize_image_tag(tag)
         remote_image = f"{normalized_registry}/{repo_name}:{tag_value}"
 
@@ -811,17 +1045,28 @@ def _run_local_build(
                     break
                 except click.exceptions.Exit:
                     if attempt < max_push_retries - 1:
-                        click.secho(
-                            f"   Push failed, retrying (attempt {attempt + 2} of {max_push_retries})...",
-                            fg="yellow",
+                        _get_emitter().warn(
+                            f"   Push failed, retrying (attempt {attempt + 2} of {max_push_retries})..."
                         )
                     else:
                         raise
         step += 1
 
+        resolved_image = _resolve_pushed_image_digest(
+            runner,
+            remote_image=remote_image,
+            docker_config_dir=None,
+            verbose=verbose,
+        )
+
         # -- Step: Update deployment --
         _log_deploy_step(step, f"Updating deployment {deployment_id}")
-        updated = client.update_deployment(deployment_id, remote_image, secrets=secrets)
+        updated = client.update_deployment(
+            deployment_id,
+            resolved_image,
+            secrets=secrets,
+            tracked_packages=tracked_packages,
+        )
 
     return BuildResult(
         updated=updated if isinstance(updated, dict) else {},
@@ -843,13 +1088,15 @@ 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
 
+    em = _get_emitter()
     _log_deploy_step(step, "Creating source archive")
     with create_archive(config, config_json) as (archive_path, file_size, config_rel):
-        click.secho(f"   Archive created ({file_size / 1_048_576:.1f} MB)", fg="green")
+        em.info(f"Archive created ({file_size / _BYTES_PER_MIB:.1f} MB)")
         step += 1
 
         _log_deploy_step(step, "Requesting upload URL")
@@ -872,6 +1119,7 @@ def _run_remote_build(
         secrets=secrets,
         install_command=install_command,
         build_command=build_command,
+        tracked_packages=tracked_packages,
     )
 
     log_offset: str | None = None
@@ -897,12 +1145,12 @@ def _run_remote_build(
                 if has_output:
                     set_progress("")
                     if not logs_header_printed:
-                        click.echo(f"   {status} (build logs):")
+                        em.info(f"{status} (build logs):")
                         logs_header_printed = True
                 for entry in entries:
                     msg = entry.get("message", "")
                     if msg:
-                        click.echo(f"   | {msg}")
+                        em.log(msg)
                 log_offset = logs_resp.get("next_offset") or log_offset
                 if has_output:
                     set_progress(f"{status}...")
@@ -910,11 +1158,10 @@ def _run_remote_build(
             pass
 
     def _handle_interrupt(revision_id: str) -> None:
-        click.secho(
-            f"\n   Interrupted. Deployment ID: {deployment_id}, Revision ID: {revision_id}",
-            fg="yellow",
+        em.warn(
+            f"\nInterrupted. Deployment ID: {deployment_id}, Revision ID: {revision_id}"
         )
-        click.secho("   The build will continue remotely.", fg="yellow")
+        em.warn("The build will continue remotely.")
 
     return BuildResult(
         updated=updated if isinstance(updated, dict) else {},
@@ -952,12 +1199,20 @@ def _create_host_backend_client(
                 resolved_api_key = val
                 break
     if not resolved_api_key:
+        if _no_input:
+            raise click.ClickException(
+                "No LangSmith API key found. Set LANGSMITH_API_KEY in the "
+                "environment or .env file."
+            )
         click.secho(
             "No LangSmith API key found. Create one at Settings > API Keys in LangSmith.",
             fg="yellow",
         )
         resolved_api_key = click.prompt("Enter LangSmith API key", hide_input=True)
-    return HostBackendClient(host_url, resolved_api_key)
+    tenant_id = env_vars.get("LANGSMITH_TENANT_ID") or os.environ.get(
+        "LANGSMITH_TENANT_ID"
+    )
+    return HostBackendClient(host_url, resolved_api_key, tenant_id=tenant_id)
 
 
 def _call_host_backend_with_optional_tenant(
@@ -982,6 +1237,12 @@ def _call_host_backend_with_optional_tenant(
                 and err.status_code == 403
                 and "requires workspace specification" in err.message
             ):
+                if _no_input:
+                    raise click.ClickException(
+                        "API key is org-scoped and requires a workspace ID. "
+                        "Set LANGSMITH_TENANT_ID in your .env file or "
+                        "use a workspace-scoped API key."
+                    ) from None
                 click.secho(
                     "Your API key is org-scoped and requires a workspace ID.",
                     fg="yellow",
@@ -1189,6 +1450,19 @@ def _deploy_base_options(
                     "if Docker is not available locally."
                 ),
             ),
+            click.option(
+                "--json",
+                "json_output",
+                is_flag=True,
+                default=False,
+                help="Emit structured JSON-lines to stdout instead of human-readable text.",
+            ),
+            click.option(
+                "--no-input",
+                is_flag=True,
+                default=False,
+                help="Never prompt for input; fail with an error if a required value is missing.",
+            ),
         ]
         if include_docker_args:
             # Only attach build args to the default command; on the group they
@@ -1256,36 +1530,50 @@ def _deploy_cmd(
     no_wait: bool,
     remote_build_flag: bool | None,
     docker_build_args: Sequence[str],
+    json_output: bool,
+    no_input: bool,
 ):
-    click.secho(
-        "Note: 'langgraph deploy' is in beta. Expect frequent updates and improvements.",
-        fg="yellow",
+    global _emitter, _no_input
+    _emitter = _Emitter(json_mode=json_output)
+    _no_input = no_input
+    em = _emitter
+
+    em.note(
+        "Note: 'langgraph deploy' is in beta. Expect frequent updates and improvements."
     )
-    click.echo()
+    if not json_output:
+        click.echo()
 
     # -- 1. Preflight --
     validate_deploy_commands(install_command, build_command)
     config_json = langgraph_cli.config.validate_config_file(config)
-    warn_non_wolfi_distro(config_json)
+    warn_non_wolfi_distro(config_json, emit=em.note)
 
     env_vars = _parse_env_from_config(config_json, config)
 
     if not deployment_id and not name:
         name = env_vars.get(_DEPLOYMENT_NAME_ENV)
     if not deployment_id and not name:
-        default_name = normalize_image_name(pathlib.Path.cwd().name)
-        name = click.prompt("Deployment name", default=default_name)
-        env_path = _resolve_env_path(config_json, config)
-        if env_path is not None:
-            set_key(str(env_path), _DEPLOYMENT_NAME_ENV, name)
-            click.echo(f"Saved deployment name to {env_path}")
+        default_name = normalize_name(pathlib.Path.cwd().name)
+        if no_input:
+            name = default_name
+        else:
+            name = click.prompt("Deployment name", default=default_name)
+    if name and not deployment_id:
+        name = normalize_name(name)
+        if not no_input:
+            env_path = _resolve_env_path(config_json, config)
+            if env_path is not None:
+                set_key(str(env_path), _DEPLOYMENT_NAME_ENV, name)
+                em.info(f"Saved deployment name to {env_path}")
 
     secrets = _secrets_from_env(_env_without_deployment_name(env_vars))
 
     use_remote_build, local_build_error = _resolve_build_mode(remote_build_flag)
     if use_remote_build and remote_build_flag is None and local_build_error:
-        click.secho(f"{local_build_error}\nUsing remote build instead.", fg="yellow")
-        click.echo()
+        em.note(f"{local_build_error}\nUsing remote build instead.")
+        if not json_output:
+            click.echo()
 
     # -- 2. Resolve / create deployment --
     client = _create_host_backend_client(host_url, api_key, env_vars=env_vars)
@@ -1297,9 +1585,9 @@ def _deploy_cmd(
         deployment_id,
         name,
         not_found_message=(
-            "   No deployment found. Will create."
+            "No deployment found. Will create."
             if use_remote_build
-            else "   No deployment found. Will create after build."
+            else "No deployment found. Will create after build."
         ),
     )
 
@@ -1316,6 +1604,15 @@ def _deploy_cmd(
     if not deployment_id:
         raise click.ClickException("Failed to determine deployment ID")
 
+    # Scan local sources for tracked packages so the new revision carries
+    # the same metadata GitHub-backed deploys produce. Failures must never
+    # block a deploy.
+    try:
+        tracked_packages = find_tracked_packages(config, config_json) or None
+    except Exception as exc:
+        em.warn(f"Skipped tracked-package scan: {exc}")
+        tracked_packages = None
+
     # -- 3. Build (divergent path) --
     if use_remote_build:
         build_result = _run_remote_build(
@@ -1328,6 +1625,7 @@ def _deploy_cmd(
             install_command=install_command,
             build_command=build_command,
             secrets=secrets,
+            tracked_packages=tracked_packages,
         )
     else:
         build_result = _run_local_build(
@@ -1347,13 +1645,18 @@ def _deploy_cmd(
             build_command=build_command,
             docker_build_args=docker_build_args,
             secrets=secrets,
+            tracked_packages=tracked_packages,
         )
 
     # -- 4. Shared wait + result --
-    _print_deployment_status_url(build_result.updated, deployment_id, host_url)
+    dep_status_url = _emit_deployment_status_url(
+        build_result.updated,
+        deployment_id,
+        host_url,
+    )
 
     if no_wait:
-        click.secho(f"   {build_result.no_result_message}", fg="green")
+        em.info(build_result.no_result_message)
         return
 
     last_status, revision_id = _poll_revision_status(
@@ -1366,7 +1669,7 @@ def _deploy_cmd(
         on_interrupt=build_result.on_interrupt,
     )
     if not last_status:
-        click.secho(f"   {build_result.no_result_message}", fg="green")
+        em.info(build_result.no_result_message)
         return
 
     if (
@@ -1375,7 +1678,7 @@ def _deploy_cmd(
         and not verbose
         and revision_id is not None
     ):
-        click.secho("   Last build log lines:", fg="red")
+        em.error("Last build log lines:")
         try:
             logs_resp = client.get_build_logs(
                 deployment_id,
@@ -1387,19 +1690,17 @@ def _deploy_cmd(
                 for entry in entries:
                     msg = entry.get("message", "")
                     if msg:
-                        click.echo(f"   | {msg}")
+                        em.log(msg)
         except Exception:
-            click.secho("   (failed to fetch build logs)", fg="red")
-        click.secho(
-            "   Re-run with --verbose to see full build output.",
-            fg="yellow",
-        )
+            em.error("(failed to fetch build logs)")
+        em.warn("Re-run with --verbose to see full build output.")
 
     _print_deployment_result(
         client,
         deployment_id,
         last_status,
         dashboard_label="Deployment dashboard",
+        status_url=dep_status_url,
     )
 
 

libs/cli/langgraph_cli/host_backend.py

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

libs/cli/langgraph_cli/progress.py

@@ -12,10 +12,11 @@ class Progress:
         while True:
             yield from "|/-\\"
 
-    def __init__(self, *, message="", elapsed: bool = False):
+    def __init__(self, *, message="", elapsed: bool = False, json_mode: bool = False):
         self.message = message
         self._base_message = message
         self._show_elapsed = elapsed
+        self._json_mode = json_mode
         # use this to make sure we don't kill thread when we set msg to ""
         self._stop = threading.Event()
         # signalled when the spinner has no text on screen
@@ -69,6 +70,9 @@ class Progress:
             self._line_clear.set()
 
     def __enter__(self) -> Callable[[str], None]:
+        if self._json_mode:
+            return lambda message: None
+
         if sys.stdout.isatty():
             self.thread = threading.Thread(target=self.spinner_task)
             self.thread.start()
@@ -90,6 +94,8 @@ class Progress:
             return set_message
 
     def __exit__(self, exception, value, tb):
+        if self._json_mode:
+            return
         if sys.stdout.isatty():
             self.message = ""
             self._stop.set()

libs/cli/langgraph_cli/util.py

@@ -1,5 +1,7 @@
 """General-purpose utilities shared across the LangGraph CLI."""
 
+from collections.abc import Callable
+
 import click
 
 
@@ -7,21 +9,42 @@ def clean_empty_lines(input_str: str):
     return "\n".join(filter(None, input_str.splitlines()))
 
 
-def warn_non_wolfi_distro(config_json: dict) -> None:
-    """Show warning if image_distro is not set to 'wolfi'."""
+def warn_non_wolfi_distro(
+    config_json: dict,
+    *,
+    emit: Callable[[str], None] | None = None,
+) -> None:
+    """Show warning if image_distro is not set to 'wolfi'.
+
+    When ``emit`` is provided, each warning line is sent through it (used by
+    callers that need JSON-aware output). Otherwise falls back to colored
+    ``click.secho`` output.
+    """
     image_distro = config_json.get("image_distro", "debian")  # Default is debian
-    if image_distro != "wolfi":
-        click.secho(
-            "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",
-            fg="yellow",
-            bold=True,
+    if image_distro == "wolfi":
+        return
+    if emit is not None:
+        emit(
+            "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security."
         )
-        click.secho(
-            "   Wolfi is a security-oriented, minimal Linux distribution designed for containers.",
-            fg="yellow",
+        emit(
+            "   Wolfi is a security-oriented, minimal Linux distribution designed for containers."
         )
-        click.secho(
-            '   To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',
-            fg="yellow",
+        emit(
+            '   To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.'
         )
-        click.secho("")  # Empty line for better readability
+        return
+    click.secho(
+        "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",
+        fg="yellow",
+        bold=True,
+    )
+    click.secho(
+        "   Wolfi is a security-oriented, minimal Linux distribution designed for containers.",
+        fg="yellow",
+    )
+    click.secho(
+        '   To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',
+        fg="yellow",
+    )
+    click.secho("")  # Empty line for better readability

libs/cli/pyproject.toml

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

libs/cli/tests/unit_tests/test_config.py

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

libs/cli/tests/unit_tests/test_dependency_tracking.py

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

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -1,6 +1,9 @@
 import base64
+import io
 import json
 import os
+import sys
+from unittest.mock import MagicMock
 
 import click
 import httpx
@@ -8,12 +11,16 @@ import pytest
 
 from langgraph_cli.deploy import (
     _call_host_backend_with_optional_tenant,
+    _create_host_backend_client,
     _docker_config_for_token,
+    _Emitter,
     _env_without_deployment_name,
     _parse_env_from_config,
     _resolve_env_path,
-    normalize_image_name,
+    _resolve_pushed_image_digest,
+    _smith_dashboard_base_url,
     normalize_image_tag,
+    normalize_name,
 )
 from langgraph_cli.host_backend import HostBackendClient, HostBackendError
 
@@ -40,30 +47,33 @@ class TestDockerConfigForToken:
             assert "gcr.io" in data["auths"]
 
 
-class TestNormalizeImageName:
+class TestNormalizeName:
     def test_simple_name(self):
-        assert normalize_image_name("myapp") == "myapp"
+        assert normalize_name("myapp") == "myapp"
 
     def test_uppercase_lowered(self):
-        assert normalize_image_name("MyApp") == "myapp"
+        assert normalize_name("MyApp") == "myapp"
 
     def test_special_chars_replaced(self):
-        assert normalize_image_name("my app!@#v2") == "my-app-v2"
+        assert normalize_name("my app!@#v2") == "my-app-v2"
 
-    def test_dots_and_hyphens_kept(self):
-        assert normalize_image_name("my-app.v2") == "my-app.v2"
+    def test_dots_replaced_with_hyphens(self):
+        assert normalize_name("my-app.v2") == "my-app-v2"
+
+    def test_underscores_replaced_with_hyphens(self):
+        assert normalize_name("simple_graph_name") == "simple-graph-name"
 
     def test_leading_trailing_stripped(self):
-        assert normalize_image_name("--my-app..") == "my-app"
+        assert normalize_name("--my-app..") == "my-app"
 
     def test_empty_string_returns_app(self):
-        assert normalize_image_name("") == "app"
+        assert normalize_name("") == "app"
 
     def test_none_returns_app(self):
-        assert normalize_image_name(None) == "app"
+        assert normalize_name(None) == "app"
 
     def test_all_invalid_chars_returns_app(self):
-        assert normalize_image_name("!!!") == "app"
+        assert normalize_name("!!!") == "app"
 
 
 class TestNormalizeImageTag:
@@ -271,3 +281,409 @@ class TestCallHostBackendWithOptionalTenant:
             _call_host_backend_with_optional_tenant(
                 client, lambda c: c.list_deployments()
             )
+
+    def test_workspace_prompt_blocked_by_no_input(self, monkeypatch):
+        """With _no_input=True, 403 requiring workspace should raise ClickException."""
+        import langgraph_cli.deploy as deploy_mod
+
+        monkeypatch.setattr(deploy_mod, "_no_input", True)
+
+        requires_workspace = '{"detail":"requires workspace specification"}'
+        client = self._make_client(
+            lambda req: httpx.Response(403, text=requires_workspace)
+        )
+        with pytest.raises(click.ClickException, match="workspace"):
+            _call_host_backend_with_optional_tenant(
+                client, lambda c: c.list_deployments()
+            )
+
+
+# ---------------------------------------------------------------------------
+# _Emitter JSON mode
+# ---------------------------------------------------------------------------
+
+
+class TestEmitterJsonMode:
+    """Verify that _Emitter in json_mode writes valid JSON-lines to stdout."""
+
+    def _capture(self, fn):
+        """Run fn with stdout captured and return parsed JSON objects."""
+        buf = io.StringIO()
+        old = sys.stdout
+        sys.stdout = buf
+        try:
+            fn()
+        finally:
+            sys.stdout = old
+        lines = [line for line in buf.getvalue().splitlines() if line.strip()]
+        return [json.loads(line) for line in lines]
+
+    def test_step_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.step(1, "Building image"))
+        assert len(events) == 1
+        assert events[0]["event"] == "step"
+        assert events[0]["step"] == 1
+        assert events[0]["message"] == "Building image"
+
+    def test_info_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.info("All good"))
+        assert events[0]["event"] == "info"
+        assert events[0]["message"] == "All good"
+
+    def test_warn_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.warn("Careful"))
+        assert events[0]["event"] == "warn"
+
+    def test_error_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.error("Boom"))
+        assert events[0]["event"] == "error"
+        assert events[0]["message"] == "Boom"
+
+    def test_status_change_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.status_change("building", 12.345))
+        assert events[0]["event"] == "status_change"
+        assert events[0]["status"] == "building"
+        assert events[0]["elapsed_seconds"] == 12.3
+        assert events[0]["message"] == "building... (12s)"
+
+    def test_status_change_event_with_minutes(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.status_change("deploying", 95.0))
+        assert events[0]["message"] == "deploying... (1m 35s)"
+
+    def test_log_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.log("some output"))
+        assert events[0] == {"event": "log", "message": "some output"}
+
+    def test_status_url_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(
+            lambda: em.status_url("https://smith.langchain.com/deploy/123")
+        )
+        assert events[0]["event"] == "status_url"
+        assert events[0]["url"] == "https://smith.langchain.com/deploy/123"
+
+    def test_result_event_full(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(
+            lambda: em.result(
+                "succeeded",
+                deployment_id="dep-1",
+                url="https://app.example.com",
+                status_url="https://smith.langchain.com/deploy/dep-1",
+            )
+        )
+        assert events[0]["event"] == "result"
+        assert events[0]["status"] == "succeeded"
+        assert events[0]["deployment_id"] == "dep-1"
+        assert events[0]["message"] == "Deployment successful!"
+        assert events[0]["url"] == "https://app.example.com"
+        assert events[0]["status_url"] == "https://smith.langchain.com/deploy/dep-1"
+
+    def test_result_event_minimal(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.result("failed", deployment_id="dep-2"))
+        assert events[0]["event"] == "result"
+        assert events[0]["status"] == "failed"
+        assert events[0]["message"] == "Deployment failed"
+        assert "url" not in events[0]
+        assert "status_url" not in events[0]
+
+    def test_heartbeat_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.heartbeat("building", 30.789))
+        assert events[0]["event"] == "heartbeat"
+        assert events[0]["elapsed_seconds"] == 30.8
+        assert events[0]["message"] == "building... (30s)"
+
+    def test_heartbeat_silent_in_text_mode(self, capsys):
+        em = _Emitter(json_mode=False)
+        em.heartbeat("building", 10.0)
+        captured = capsys.readouterr()
+        assert captured.out == ""
+
+    def test_upload_progress_event(self):
+        em = _Emitter(json_mode=True)
+        events = self._capture(lambda: em.upload_progress(5.678, 42))
+        assert events[0]["event"] == "upload_progress"
+        assert events[0]["size_mb"] == 5.7
+        assert events[0]["pct"] == 42
+
+
+# ---------------------------------------------------------------------------
+# _Emitter text mode (non-json)
+# ---------------------------------------------------------------------------
+
+
+class TestEmitterTextMode:
+    """Verify that _Emitter in text mode uses click.echo/click.secho."""
+
+    def test_step_writes_text(self, capsys):
+        em = _Emitter(json_mode=False)
+        em.step(1, "Hello")
+        captured = capsys.readouterr()
+        assert "1. Hello" in captured.out
+
+    def test_log_writes_text(self, capsys):
+        em = _Emitter(json_mode=False)
+        em.log("my line")
+        captured = capsys.readouterr()
+        assert "my line" in captured.out
+
+    def test_result_succeeded_text(self, capsys):
+        em = _Emitter(json_mode=False)
+        em.result("succeeded", deployment_id="d1", url="https://app.test")
+        captured = capsys.readouterr()
+        lines = [line.strip() for line in captured.out.splitlines() if line.strip()]
+        assert "Deployment successful!" in lines
+        assert "URL: https://app.test" in lines
+
+
+# ---------------------------------------------------------------------------
+# --no-input guard on _create_host_backend_client
+# ---------------------------------------------------------------------------
+
+
+class TestCreateHostBackendClientNoInput:
+    def test_raises_when_no_api_key_and_no_input(self, monkeypatch, tmp_path):
+        import langgraph_cli.deploy as deploy_mod
+
+        monkeypatch.setattr(deploy_mod, "_no_input", True)
+        monkeypatch.delenv("LANGSMITH_API_KEY", raising=False)
+        monkeypatch.delenv("LANGCHAIN_API_KEY", raising=False)
+        monkeypatch.delenv("LANGGRAPH_HOST_API_KEY", raising=False)
+
+        with pytest.raises(click.ClickException, match="API key"):
+            _create_host_backend_client(
+                host_url="https://api.example.com",
+                api_key=None,
+                env_vars={},
+            )
+
+    def test_succeeds_with_api_key_in_env(self, monkeypatch, tmp_path):
+        import langgraph_cli.deploy as deploy_mod
+
+        monkeypatch.setattr(deploy_mod, "_no_input", True)
+        monkeypatch.setenv("LANGSMITH_API_KEY", "lsv2_test")
+
+        client = _create_host_backend_client(
+            host_url="https://api.example.com",
+            api_key=None,
+            env_vars={},
+        )
+        assert client is not None
+
+
+class TestSmithDashboardBaseUrl:
+    def test_none_returns_default(self):
+        assert _smith_dashboard_base_url(None) == "https://smith.langchain.com"
+
+    def test_empty_returns_default(self):
+        assert _smith_dashboard_base_url("") == "https://smith.langchain.com"
+
+    def test_prod_host_url(self):
+        assert (
+            _smith_dashboard_base_url("https://api.host.langchain.com")
+            == "https://smith.langchain.com"
+        )
+
+    def test_dev_host_url(self):
+        assert (
+            _smith_dashboard_base_url("https://dev.api.host.langchain.com")
+            == "https://dev.smith.langchain.com"
+        )
+
+    def test_eu_host_url(self):
+        assert (
+            _smith_dashboard_base_url("https://eu.api.host.langchain.com")
+            == "https://eu.smith.langchain.com"
+        )
+
+    def test_staging_host_url(self):
+        assert (
+            _smith_dashboard_base_url("https://staging.api.host.langchain.com")
+            == "https://staging.smith.langchain.com"
+        )
+
+    def test_localhost(self):
+        assert (
+            _smith_dashboard_base_url("http://localhost:8080")
+            == "http://localhost:8080"
+        )
+
+    def test_localhost_trailing_slash(self):
+        assert (
+            _smith_dashboard_base_url("http://localhost:8080/")
+            == "http://localhost:8080"
+        )
+
+    def test_127_0_0_1(self):
+        assert (
+            _smith_dashboard_base_url("http://127.0.0.1:3000")
+            == "http://127.0.0.1:3000"
+        )
+
+    def test_unknown_domain_returns_default(self):
+        assert (
+            _smith_dashboard_base_url("https://custom.example.com")
+            == "https://smith.langchain.com"
+        )
+
+
+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

@@ -1,3 +1,5 @@
+import json
+
 import httpx
 import pytest
 
@@ -176,6 +178,69 @@ def test_update_deployment_no_secrets(client):
     assert result == {"ok": True}
 
 
+def _capturing_client(captured: dict) -> HostBackendClient:
+    def handler(req: httpx.Request) -> httpx.Response:
+        captured["body"] = req.read()
+        return httpx.Response(200, json={"ok": True})
+
+    c = HostBackendClient("https://api.example.com", "key")
+    c._client = httpx.Client(
+        base_url="https://api.example.com",
+        transport=httpx.MockTransport(handler),
+        headers={"X-Api-Key": "key", "Accept": "application/json"},
+        timeout=30,
+    )
+    return c
+
+
+def test_update_deployment_forwards_tracked_packages():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment(
+        "dep-123",
+        "image:latest",
+        tracked_packages=["google-adk:1.0.0"],
+    )
+    body = json.loads(captured["body"])
+    assert body["tracked_packages"] == ["google-adk:1.0.0"]
+    assert "tracked_packages" not in body["source_revision_config"]
+
+
+def test_update_deployment_omits_tracked_packages_when_absent():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment("dep-123", "image:latest")
+    body = json.loads(captured["body"])
+    assert "tracked_packages" not in body
+
+
+def test_update_deployment_internal_source_forwards_tracked_packages():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment_internal_source(
+        "dep-123",
+        source_tarball_path="path/to/tarball",
+        config_path="langgraph.json",
+        tracked_packages=["google-adk:>=0.5"],
+    )
+    body = json.loads(captured["body"])
+    assert body["tracked_packages"] == ["google-adk:>=0.5"]
+    assert body["source_revision_config"]["source_tarball_path"] == "path/to/tarball"
+    assert "tracked_packages" not in body["source_revision_config"]
+
+
+def test_update_deployment_internal_source_omits_tracked_packages_when_absent():
+    captured: dict = {}
+    c = _capturing_client(captured)
+    c.update_deployment_internal_source(
+        "dep-123",
+        source_tarball_path="path/to/tarball",
+        config_path="langgraph.json",
+    )
+    body = json.loads(captured["body"])
+    assert "tracked_packages" not in body
+
+
 def test_list_revisions(client):
     result = client.list_revisions("dep-123", limit=5)
     assert result == {"ok": True}

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

@@ -7,6 +7,7 @@ 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

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

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

@@ -16,6 +16,7 @@ source = { editable = "apps/agent" }
 dependencies = [
     { name = "langchain-core" },
     { name = "langgraph" },
+    { name = "langgraph-checkpoint-postgres" },
     { name = "shared" },
 ]
 
@@ -23,6 +24,7 @@ dependencies = [
 requires-dist = [
     { name = "langchain-core", specifier = ">=0.2.14" },
     { name = "langgraph", specifier = ">=0.6.0,<2" },
+    { name = "langgraph-checkpoint-postgres", specifier = ">=3.0.0" },
     { name = "shared", editable = "libs/shared" },
 ]
 
@@ -215,10 +217,11 @@ wheels = [
 
 [[package]]
 name = "langchain-core"
-version = "1.2.28"
+version = "1.3.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "jsonpatch" },
+    { name = "langchain-protocol" },
     { name = "langsmith" },
     { name = "packaging" },
     { name = "pydantic" },
@@ -227,9 +230,21 @@ dependencies = [
     { name = "typing-extensions" },
     { name = "uuid-utils" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f8/a4/317a1a3ac1df33a64adb3670bf88bbe3b3d5baa274db6863a979db472897/langchain_core-1.2.28.tar.gz", hash = "sha256:271a3d8bd618f795fdeba112b0753980457fc90537c46a0c11998516a74dc2cb", size = 846119, upload-time = "2026-04-08T18:19:34.867Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/d3/ae/8b74458fc3850ec3d150eb9f45e857db129dafa801fb5cf173dfc9f8bbf3/langchain_core-1.3.3.tar.gz", hash = "sha256:fa510a5db8efdc0c6ff41c0939fb5c00a0183c11f6b84233e892e3227ff69182", size = 915041, upload-time = "2026-05-05T19:02:36.612Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/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" },
+    { 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" },
 ]
 
 [[package]]
@@ -262,6 +277,21 @@ 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"
@@ -290,7 +320,7 @@ wheels = [
 
 [[package]]
 name = "langsmith"
-version = "0.7.31"
+version = "0.8.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx" },
@@ -303,9 +333,9 @@ dependencies = [
     { name = "xxhash" },
     { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/e6/11/696019490992db5c87774dc20515529ef42a01e1d770fb754ed6d9b12fb0/langsmith-0.7.31.tar.gz", hash = "sha256:331ee4f7c26bb5be4022b9859b7d7b122cbf8c9d01d9f530114c1914b0349ffb", size = 1178480, upload-time = "2026-04-14T17:55:41.242Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/a8/64/95f1f013531395f4e8ed73caeee780f65c7c58fe028cb543f8937b45611b/langsmith-0.8.0.tar.gz", hash = "sha256:59fe5b2a56bbbe14a08aa76691f84b49e8675dd21e11b57d80c6db8c08bac2e3", size = 4432996, upload-time = "2026-04-30T22:13:07.341Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/1d/a1/a013cf458c301cda86a213dd153ce0a01c93f1ab5833f951e6a44c9763ce/langsmith-0.7.31-py3-none-any.whl", hash = "sha256:0291d49203f6e80dda011af1afda61eb0595a4d697adb684590a8805e1d61fb6", size = 373276, upload-time = "2026-04-14T17:55:39.677Z" },
+    { url = "https://files.pythonhosted.org/packages/f3/e1/a4be2e696c9473bb53298df398237da5674704d781d4b748ed35aeef592a/langsmith-0.8.0-py3-none-any.whl", hash = "sha256:12cc4bc5622b835a6d841964d6034df3617bdb912dae0c1381fd0a68a9b3a3ef", size = 393268, upload-time = "2026-04-30T22:13:05.56Z" },
 ]
 
 [[package]]
@@ -433,6 +463,31 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/b7/b9/c538f279a4e237a006a2c98387d081e9eb060d203d8ed34467cc0f0b9b53/packaging-26.0-py3-none-any.whl", hash = "sha256:b36f1fef9334a5588b4166f8bcd26a14e521f2b55e6b9de3aaa80d3ff7a37529", size = 74366, upload-time = "2026-01-21T20:50:37.788Z" },
 ]
 
+[[package]]
+name = "psycopg"
+version = "3.3.4"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
+    { name = "tzdata", marker = "sys_platform == 'win32'" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/db/2f/cb91e5502ec9de1de6f1b76cfbf69531932725361168bb06963620c77e2e/psycopg-3.3.4.tar.gz", hash = "sha256:e21207764952cff81b6b8bdacad9a3939f2793367fdac2987b3aac36a651b5bc", size = 165799, upload-time = "2026-05-01T23:31:55.179Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/5c/e0/7b3dee031daae7743609ce3c746565d4a3ed7c2c186479eb48e34e838c64/psycopg-3.3.4-py3-none-any.whl", hash = "sha256:b6bbc25ccf05c8fad3b061d9db2ef0909a555171b84b07f29458a447253d679a", size = 213001, upload-time = "2026-05-01T23:20:50.816Z" },
+]
+
+[[package]]
+name = "psycopg-pool"
+version = "3.3.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/90/82/7a23d26039827ecd4ebe93905651029ddd307c5182ad59296dfb6f67b528/psycopg_pool-3.3.1.tar.gz", hash = "sha256:b10b10b7a175d5cc1592147dc5b7eec8a9e0834eb3ed2c4a92c858e2f51eb63c", size = 31661, upload-time = "2026-05-01T23:31:59.809Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/37/ed/89c2c620af0e1660354cd8aabf9f5b21f911597ce22acb37c805d6c86bc8/psycopg_pool-3.3.1-py3-none-any.whl", hash = "sha256:2af5b432941c4c9ad5c87b3fa410aec910ec8f7c122855897983a06c45f2e4b5", size = 40023, upload-time = "2026-05-01T23:31:53.136Z" },
+]
+
 [[package]]
 name = "pydantic"
 version = "2.12.5"
@@ -663,12 +718,21 @@ wheels = [
 ]
 
 [[package]]
-name = "urllib3"
-version = "2.6.3"
+name = "tzdata"
+version = "2026.2"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/ba/19/1b9b0e29f30c6d35cb345486df41110984ea67ae69dddbc0e8a100999493/tzdata-2026.2.tar.gz", hash = "sha256:9173fde7d80d9018e02a662e168e5a2d04f87c41ea174b139fbef642eda62d10", size = 198254, upload-time = "2026-04-24T15:22:08.651Z" }
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+    { url = "https://files.pythonhosted.org/packages/ce/e4/dccd7f47c4b64213ac01ef921a1337ee6e30e8c6466046018326977efd95/tzdata-2026.2-py2.py3-none-any.whl", hash = "sha256:bbe9af844f658da81a5f95019480da3a89415801f6cc966806612cc7169bffe7", size = 349321, upload-time = "2026-04-24T15:22:05.876Z" },
+]
+
+[[package]]
+name = "urllib3"
+version = "2.7.0"
+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" }
+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" },
 ]
 
 [[package]]
@@ -707,12 +771,14 @@ source = { virtual = "." }
 dependencies = [
     { name = "langchain-core" },
     { name = "langgraph" },
+    { name = "langgraph-checkpoint-postgres" },
 ]
 
 [package.metadata]
 requires-dist = [
-    { name = "langchain-core", specifier = ">=0.2.14" },
+    { name = "langchain-core", specifier = ">=1.3.3" },
     { name = "langgraph", specifier = ">=0.6.0,<2" },
+    { name = "langgraph-checkpoint-postgres", specifier = ">=3.0.0" },
 ]
 
 [[package]]

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

@@ -5,7 +5,7 @@ description = "Simple single-package uv example for LangGraph CLI integration te
 requires-python = ">=3.11"
 dependencies = [
     "langgraph>=0.6.0,<2",
-    "langchain-core>=0.2.14",
+    "langchain-core>=1.3.3",
 ]
 
 [build-system]

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

@@ -26,11 +26,11 @@ wheels = [
 
 [[package]]
 name = "certifi"
-version = "2026.2.25"
+version = "2026.5.20"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/af/2d/7bf41579a8986e348fa033a31cdd0e4121114f6bce2457e8876010b092dd/certifi-2026.2.25.tar.gz", hash = "sha256:e887ab5cee78ea814d3472169153c2d12cd43b14bd03329a39a9c6e2e80bfba7", size = 155029, upload-time = "2026-02-25T02:54:17.342Z" }
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+    { url = "https://files.pythonhosted.org/packages/59/8c/57e832b7af6d7c5abe66eb3fbe3a3a32f4d11ea23a1aa7131371035be991/certifi-2026.5.20-py3-none-any.whl", hash = "sha256:3c52e209ba0a4ad7aebe60436a4ab349c39e1e602e8c134221e546902ad25897", size = 134134, upload-time = "2026-05-20T11:46:48.578Z" },
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 [[package]]
@@ -161,11 +161,11 @@ wheels = [
 
 [[package]]
 name = "idna"
-version = "3.11"
+version = "3.16"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/6f/6d/0703ccc57f3a7233505399edb88de3cbd678da106337b9fcde432b65ed60/idna-3.11.tar.gz", hash = "sha256:795dafcc9c04ed0c1fb032c2aa73654d8e8c5023a7df64a53f39190ada629902", size = 194582, upload-time = "2025-10-12T14:55:20.501Z" }
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 [[package]]
@@ -2306,11 +2320,11 @@ wheels = [
 
 [[package]]
 name = "urllib3"
-version = "2.6.3"
+version = "2.7.0"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/c7/24/5f1b3bdffd70275f6661c76461e25f024d5a38a46f04aaca912426a2b1d3/urllib3-2.6.3.tar.gz", hash = "sha256:1b62b6884944a57dbe321509ab94fd4d3b307075e0c2eae991ac71ee15ad38ed", size = 435556, upload-time = "2026-01-07T16:24:43.925Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/53/0c/06f8b233b8fd13b9e5ee11424ef85419ba0d8ba0b3138bf360be2ff56953/urllib3-2.7.0.tar.gz", hash = "sha256:231e0ec3b63ceb14667c67be60f2f2c40a518cb38b03af60abc813da26505f4c", size = 433602, upload-time = "2026-05-07T16:13:18.596Z" }
 wheels = [
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+    { url = "https://files.pythonhosted.org/packages/7f/3e/5db95bcf282c52709639744ca2a8b149baccf648e39c8cc87553df9eae0c/urllib3-2.7.0-py3-none-any.whl", hash = "sha256:9fb4c81ebbb1ce9531cce37674bbc6f1360472bc18ca9a553ede278ef7276897", size = 131087, upload-time = "2026-05-07T16:13:17.151Z" },
 ]
 
 [[package]]

libs/langgraph/langgraph/_internal/_config.py

@@ -29,6 +29,9 @@ from langgraph._internal._constants import (
 )
 
 DEFAULT_RECURSION_LIMIT = int(getenv("LANGGRAPH_DEFAULT_RECURSION_LIMIT", "10007"))
+DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT = int(
+    getenv("LANGGRAPH_DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT", "5000")
+)
 
 
 def recast_checkpoint_ns(ns: str) -> str:
@@ -76,6 +79,34 @@ def patch_checkpoint_map(
         return config
 
 
+def _merge_callbacks(base: Callbacks, new: Callbacks) -> Callbacks:
+    """Merge two callbacks values (None / list / BaseCallbackManager).
+
+    Six cases total (3 base types x 2 non-None new types).
+    """
+    if new is None:
+        return base
+    if base is None:
+        return new.copy() if isinstance(new, (list, BaseCallbackManager)) else new
+    if isinstance(new, list):
+        if isinstance(base, list):
+            return base + new
+        if isinstance(base, BaseCallbackManager):
+            mngr = base.copy()
+            for cb in new:
+                mngr.add_handler(cb, inherit=True)
+            return mngr
+    elif isinstance(new, BaseCallbackManager):
+        if isinstance(base, list):
+            mngr = new.copy()
+            for cb in base:
+                mngr.add_handler(cb, inherit=True)
+            return mngr
+        if isinstance(base, BaseCallbackManager):
+            return base.merge(new)
+    raise NotImplementedError(f"Unsupported callback types: {type(base)}, {type(new)}")
+
+
 def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
     """Merge multiple configs into one.
 
@@ -110,34 +141,9 @@ def merge_configs(*configs: RunnableConfig | None) -> RunnableConfig:
                 else:
                     base[key] = value
             elif key == "callbacks":
-                base_callbacks = base.get("callbacks")
-                # callbacks can be either None, list[handler] or manager
-                # so merging two callbacks values has 6 cases
-                if isinstance(value, list):
-                    if base_callbacks is None:
-                        base["callbacks"] = value.copy()
-                    elif isinstance(base_callbacks, list):
-                        base["callbacks"] = base_callbacks + value
-                    else:
-                        # base_callbacks is a manager
-                        mngr = base_callbacks.copy()
-                        for callback in value:
-                            mngr.add_handler(callback, inherit=True)
-                        base["callbacks"] = mngr
-                elif isinstance(value, BaseCallbackManager):
-                    # value is a manager
-                    if base_callbacks is None:
-                        base["callbacks"] = value.copy()
-                    elif isinstance(base_callbacks, list):
-                        mngr = value.copy()
-                        for callback in base_callbacks:
-                            mngr.add_handler(callback, inherit=True)
-                        base["callbacks"] = mngr
-                    else:
-                        # base_callbacks is also a manager
-                        base["callbacks"] = base_callbacks.merge(value)
-                else:
-                    raise NotImplementedError
+                base["callbacks"] = _merge_callbacks(
+                    base.get("callbacks"), cast(Callbacks, value)
+                )
             elif key == "recursion_limit":
                 if config["recursion_limit"] != DEFAULT_RECURSION_LIMIT:
                     base["recursion_limit"] = config["recursion_limit"]
@@ -306,7 +312,40 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
         for k, v in config.items():
             if _is_not_empty(v) and k in CONFIG_KEYS:
                 if k == CONF:
-                    empty[k] = cast(dict, v).copy()
+                    # Shallow-merge configurable dicts across configs so values
+                    # bound via with_config(...) (e.g. ls_agent_type) are
+                    # preserved when later configs (e.g. invoke-time) only
+                    # specify a subset of keys like thread_id.
+                    existing = empty.get(k)
+                    empty[k] = (
+                        {**cast(dict, existing), **cast(dict, v)}
+                        if existing
+                        else cast(dict, v).copy()
+                    )
+                elif k == "callbacks":
+                    empty["callbacks"] = _merge_callbacks(
+                        empty.get("callbacks"), cast(Callbacks, v)
+                    )
+                elif k == "metadata":
+                    # Shallow-merge metadata dicts across configs so values
+                    # bound via with_config(...) (e.g. user_id) are preserved
+                    # when later configs supply other metadata keys.
+                    existing = empty.get("metadata")
+                    empty["metadata"] = (
+                        {**cast(dict, existing), **cast(dict, v)}
+                        if existing
+                        else cast(dict, v).copy()
+                    )
+                elif k == "tags":
+                    # Concatenate tags across configs so values bound via
+                    # with_config(...) are preserved when later configs
+                    # supply additional tags. Matches merge_configs.
+                    existing_tags: list[str] | None = empty.get("tags")
+                    empty["tags"] = (
+                        [*existing_tags, *cast(list, v)]
+                        if existing_tags
+                        else list(cast(list, v))
+                    )
                 else:
                     empty[k] = v  # type: ignore[literal-required]
         for k, v in config.items():
@@ -363,3 +402,17 @@ _PROPAGATE_TO_METADATA = frozenset(
         "graph_id",
     )
 )
+
+
+def filter_to_user_tags(tags: Sequence[str] | None) -> list[str] | None:
+    """Drop langgraph's internal `seq:step:*` bookkeeping tags.
+
+    `seq:step:N` tags are added internally to mark sequence steps; everything
+    else (user-supplied tags and any other framework tags) is kept. Returns the
+    surviving tags, or `None` if none remain. Shared by the `messages` and
+    `tasks` stream handlers so both surface the same tag set on their metadata.
+    """
+    if not tags:
+        return None
+    filtered = [t for t in tags if not t.startswith("seq:step")]
+    return filtered or None

libs/langgraph/langgraph/_internal/_constants.py

@@ -12,6 +12,9 @@ RESUME = sys.intern("__resume__")
 # for values passed to resume a node after an interrupt
 ERROR = sys.intern("__error__")
 # for errors raised by nodes
+ERROR_SOURCE_NODE = sys.intern("__error_source_node__")
+# failed source node name for node-level error handlers
+# value format in pending writes: `(task_id, ERROR_SOURCE_NODE, node_name: str)`
 NO_WRITES = sys.intern("__no_writes__")
 # marker to signal node didn't write anything
 TASKS = sys.intern("__pregel_tasks")
@@ -71,6 +74,10 @@ CONFIG_KEY_RESUME_MAP = sys.intern("__pregel_resume_map")
 CONFIG_KEY_STREAM_MESSAGES_V2 = sys.intern("__pregel_stream_messages_v2")
 # when True, attach StreamMessagesHandlerV2 so content-block (v2) events
 # flow through stream_mode="messages"; set by StreamingHandler only.
+CONFIG_KEY_NODE_ERROR = sys.intern("__pregel_node_error")
+# holds a `NodeError` (failed source node + exception) for the current
+# node-level error handler invocation, injected when handler signature
+# requests `error: NodeError`
 
 # --- Other constants ---
 PUSH = sys.intern("__pregel_push")
@@ -98,6 +105,7 @@ RESERVED = {
     INTERRUPT,
     RESUME,
     ERROR,
+    ERROR_SOURCE_NODE,
     NO_WRITES,
     # reserved config.configurable keys
     CONFIG_KEY_SEND,

libs/langgraph/langgraph/_internal/_runnable.py

@@ -51,9 +51,11 @@ from langgraph._internal._config import (
 )
 from langgraph._internal._constants import (
     CONF,
+    CONFIG_KEY_NODE_ERROR,
     CONFIG_KEY_RUNTIME,
 )
 from langgraph._internal._typing import MISSING
+from langgraph.errors import NodeError
 from langgraph.types import StreamWriter
 
 try:
@@ -194,6 +196,15 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
         "N/A",
         inspect.Parameter.empty,
     ),
+    (
+        "error",
+        (NodeError, "NodeError"),
+        # we never hit this block, we read directly from configurable
+        "N/A",
+        # default to None so non-handler nodes that happen to type a parameter
+        # `error: NodeError` don't blow up; handlers always receive a NodeError.
+        None,
+    ),
 )
 """List of kwargs that can be passed to functions, and their corresponding
 config keys, default values and type annotations.
@@ -367,6 +378,8 @@ class RunnableCallable(Runnable):
             kw_value: Any = MISSING
             if kw == "config":
                 kw_value = config
+            elif kw == "error":
+                kw_value = config.get(CONF, {}).get(CONFIG_KEY_NODE_ERROR, MISSING)
             elif runtime:
                 if kw == "runtime":
                     kw_value = runtime
@@ -439,6 +452,8 @@ class RunnableCallable(Runnable):
             kw_value: Any = MISSING
             if kw == "config":
                 kw_value = config
+            elif kw == "error":
+                kw_value = config.get(CONF, {}).get(CONFIG_KEY_NODE_ERROR, MISSING)
             elif runtime:
                 if kw == "runtime":
                     kw_value = runtime

libs/langgraph/langgraph/channels/delta.py

@@ -5,7 +5,7 @@ import copy as _copy
 from collections.abc import Callable, Sequence
 from typing import Any, Generic
 
-from langgraph.checkpoint.base import DELTA_SENTINEL, PendingWrite
+from langgraph.checkpoint.base import PendingWrite
 from langgraph.checkpoint.serde.types import _DeltaSnapshot
 from typing_extensions import Self
 
@@ -26,6 +26,15 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
     """Reducer channel that stores only a sentinel in checkpoint blobs and
     reconstructs state by replaying ancestor writes through the reducer.
 
+    !!! warning "Beta"
+
+        `DeltaChannel` is in beta. The API and on-disk representation may
+        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`
+        metadata field) is not yet stable.
+
     The reducer receives the current accumulated value and a batch of writes
     in one call: `reducer(state, [write1, write2, ...]) -> new_state`.
 
@@ -38,19 +47,20 @@ 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_frequency=None` (default): pure delta; stores only
-    `DELTA_SENTINEL` in checkpoint blobs; reads replay all ancestor writes.
-
-    `snapshot_frequency=N`: `create_checkpoint` writes a full `_DeltaSnapshot`
-    blob every N steps, bounding replay depth to N.
+    Snapshot cadence is driven by two counters: per-channel update count and
+    total supersteps since last snapshot. `create_checkpoint` writes a full
+    `_DeltaSnapshot` blob when EITHER the update count reaches
+    `snapshot_frequency` OR the supersteps count reaches the system-wide
+    `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT` bound (default 5000), bounding
+    replay depth even for channels that stop receiving writes.
 
     Parameters:
         reducer: `(state, list[writes]) -> new_state`. Must be deterministic
             and batching-invariant as described above.
         typ: The value type (e.g. `list`, `dict`). Inferred automatically
             from the outer type when used inside `Annotated[T, DeltaChannel(...)]`.
-        snapshot_frequency: Every Nth pregel step writes a snapshot blob.
-            `None` (default) = pure delta, never snapshot.
+        snapshot_frequency: Every Nth update to this channel writes a snapshot
+            blob (default `1000`). Must be a positive int.
     """
 
     __slots__ = ("value", "reducer", "snapshot_frequency")
@@ -61,8 +71,12 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
         reducer: Callable[[Any, Sequence[Any]], Any],
         typ: type[Value] | None = None,
         *,
-        snapshot_frequency: int | None = None,
+        snapshot_frequency: int = 1000,
     ) -> None:
+        if snapshot_frequency <= 0:
+            raise ValueError(
+                f"snapshot_frequency must be a positive int, got {snapshot_frequency}"
+            )
         if typ is None:
             typ = list  # type: ignore[assignment]  # placeholder; overridden by _is_field_channel
         super().__init__(typ)
@@ -93,14 +107,6 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
     def UpdateType(self) -> Any:
         return self.typ
 
-    def is_snapshot_step(self, step: int) -> bool:
-        """True if pregel should write a snapshot blob at this step."""
-        return (
-            self.snapshot_frequency is not None
-            and step > 0
-            and step % self.snapshot_frequency == 0
-        )
-
     def copy(self) -> Self:
         new = self.__class__(
             self.reducer, self.typ, snapshot_frequency=self.snapshot_frequency
@@ -110,18 +116,19 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
         return new
 
     def from_checkpoint(self, checkpoint: Any) -> Self:
-        """Initialize from a stored blob or sentinel.
+        """Initialize from a stored blob.
 
-        Blob types (dispatched via serde ext code, not dict key inspection):
-          * `DELTA_SENTINEL` / `MISSING`: start empty; caller replays writes.
+        Blob types:
+          * `MISSING`: start empty; caller replays writes.
           * `_DeltaSnapshot(value)`: restore value directly from snapshot.
-          * plain value (migration from old BinOp blobs): use directly.
+          * plain value (migration from old `BinaryOperatorAggregate` blobs):
+            use directly.
         """
         new = self.__class__(
             self.reducer, self.typ, snapshot_frequency=self.snapshot_frequency
         )
         new.key = self.key
-        if checkpoint is MISSING or checkpoint is DELTA_SENTINEL:
+        if checkpoint is MISSING:
             new.value = self.typ()
         elif isinstance(checkpoint, _DeltaSnapshot):
             new.value = checkpoint.value
@@ -186,12 +193,12 @@ class DeltaChannel(Generic[Value], BaseChannel[Any, Any, Any]):
         return self.value is not MISSING
 
     def checkpoint(self) -> Any:
-        """Return stored representation: always `DELTA_SENTINEL`.
+        """Return stored representation: always `MISSING`.
 
-        Snapshot decisions are made by `create_checkpoint` in pregel (which
-        has the step number) via `is_snapshot_step`. `checkpoint()` is only
-        called for non-snapshot steps or when no checkpointer is available.
+        Snapshot decisions live in `create_checkpoint` (which has the channel
+        version) and write `_DeltaSnapshot(ch.get())` directly into
+        `channel_values`. For non-snapshot steps the channel does not appear
+        in `channel_values`; reconstruction walks ancestor writes via the
+        saver's `get_delta_channel_history`.
         """
-        if self.value is MISSING:
-            return MISSING
-        return DELTA_SENTINEL
+        return MISSING

libs/langgraph/langgraph/errors.py

@@ -1,6 +1,7 @@
 from __future__ import annotations
 
 from collections.abc import Sequence
+from dataclasses import dataclass
 from enum import Enum
 from typing import Any, Literal
 from warnings import warn
@@ -15,10 +16,13 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10
 __all__ = (
     "EmptyChannelError",
     "ErrorCode",
+    "GraphDrained",
     "GraphRecursionError",
     "InvalidUpdateError",
     "GraphBubbleUp",
     "GraphInterrupt",
+    "NodeCancelledError",
+    "NodeError",
     "NodeInterrupt",
     "NodeTimeoutError",
     "ParentCommand",
@@ -43,6 +47,23 @@ def create_error_message(*, message: str, error_code: ErrorCode) -> str:
     )
 
 
+class GraphBubbleUp(Exception):
+    pass
+
+
+class GraphDrained(GraphBubbleUp):
+    """Raised when a graph run exits early due to a drain request.
+
+    This indicates the graph stopped cooperatively at a superstep boundary
+    because `RunControl.request_drain()` was called (e.g., in response to
+    SIGTERM). The checkpoint is saved and the run can be resumed later.
+    """
+
+    def __init__(self, reason: str = "shutdown") -> None:
+        self.reason = reason
+        super().__init__(f"Graph drained: {reason}")
+
+
 class GraphRecursionError(RecursionError):
     """Raised when the graph has exhausted the maximum number of steps.
 
@@ -78,10 +99,6 @@ class InvalidUpdateError(Exception):
     pass
 
 
-class GraphBubbleUp(Exception):
-    pass
-
-
 class GraphInterrupt(GraphBubbleUp):
     """Raised when a subgraph is interrupted, suppressed by the root graph.
     Never raised directly, or surfaced to the user."""
@@ -128,12 +145,53 @@ class TaskNotFound(Exception):
     pass
 
 
-class NodeTimeoutError(TimeoutError):
+@dataclass(frozen=True, slots=True)
+class NodeError:
+    """Failure context passed to a node-level error handler.
+
+    Inject by adding a parameter typed `NodeError` to a handler registered via
+    `StateGraph.add_node(..., error_handler=...)`:
+
+    ```python
+    def handler(state: State, error: NodeError) -> Command:
+        return Command(update={"status": f"recovered from {error.node}: {error.error}"})
+    ```
+    """
+
+    node: str
+    """Name of the node whose execution failed."""
+
+    error: BaseException
+    """Exception raised by the failed node."""
+
+
+class 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.
 
-    Subclasses the built-in `TimeoutError`, so existing `except TimeoutError`
-    handlers keep working. If the node has a `retry_policy` whose `retry_on`
-    permits `TimeoutError`, the attempt will be retried.
+    Does **not** inherit from the built-in `TimeoutError` (a subclass of
+    `OSError`) so that the default `RetryPolicy` treats it as retryable.
 
     Both `idle_timeout` and `run_timeout` reflect the configured policy at the
     time of the failure (each is `None` if not configured). `kind` and

libs/langgraph/langgraph/graph/_node.py

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

libs/langgraph/langgraph/graph/message.py

@@ -250,14 +250,16 @@ def _messages_delta_reducer(
     """**Experimental.** Batch reducer for use with `DeltaChannel`.
 
     Processes all writes in one pass — dedup by ID, `RemoveMessage`
-    tombstoning — without calling `add_messages`. Assumes writes contain
-    already-typed `BaseMessage` objects (no raw-dict coercion).
+    tombstoning — without calling `add_messages`.
 
     This reducer is batching-invariant, as required by `DeltaChannel`:
     `reducer(reducer(state, xs), ys) == reducer(state, xs + ys)`.
 
-    Use `add_messages` as the reducer for `BinaryOperatorAggregate` or
-    anywhere raw message dicts / strings need to be coerced first.
+    Raw dict / string / tuple inputs are coerced to typed `BaseMessage`
+    objects so that HTTP-driven graphs work without a separate coercion
+    step. This is not full `add_messages` parity — `REMOVE_ALL_MESSAGES`,
+    unknown-id `RemoveMessage` errors, missing-id UUID assignment, and
+    `BaseMessageChunk` conversion are not handled here.
 
     Example::
 
@@ -268,13 +270,30 @@ def _messages_delta_reducer(
         class State(TypedDict):
             messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
     """
-    from itertools import chain
 
-    index: dict[str, int] = {m.id: i for i, m in enumerate(state) if m.id is not None}
-    result: list[AnyMessage | None] = list(state)
-    for msg in chain.from_iterable(
-        [w] if isinstance(w, BaseMessage) else w for w in writes
-    ):
+    # Each write is either a list of message-likes or a single message-like
+    # (BaseMessage / dict / str / tuple). Only lists flatten; everything
+    # else is one message.
+    flat: list[Any] = []
+    for w in writes:
+        if isinstance(w, list):
+            flat.extend(w)
+        else:
+            flat.append(w)
+    # Steady state: the reducer's own output is already typed, so skip
+    # `convert_to_messages` on state when the first element is a BaseMessage.
+    # Only raw input (initial dicts, deserialized blobs) hits the slow path.
+    if state and isinstance(state[0], BaseMessage):
+        state_msgs = state
+    else:
+        state_msgs = cast("list[AnyMessage]", convert_to_messages(state))
+    msgs = cast("list[AnyMessage]", convert_to_messages(flat))
+
+    index: dict[str, int] = {
+        m.id: i for i, m in enumerate(state_msgs) if m.id is not None
+    }
+    result: list[AnyMessage | None] = list(state_msgs)
+    for msg in msgs:
         mid = msg.id
         if mid is None:
             result.append(msg)

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 is_dataclass
+from dataclasses import dataclass, is_dataclass
 from datetime import timedelta
 from functools import partial
 from inspect import isclass, isfunction, ismethod, signature
@@ -95,6 +95,17 @@ __all__ = ("StateGraph", "CompiledStateGraph")
 logger = logging.getLogger(__name__)
 
 _CHANNEL_BRANCH_TO = "branch:to:{}"
+_DEFAULT_ERROR_HANDLER_NODE = "__default_error_handler__"
+
+
+@dataclass(slots=True)
+class _NodeDefaults:
+    """Default node policies applied to every node at compile time."""
+
+    retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None
+    cache_policy: CachePolicy | None = None
+    error_handler: StateNode[Any, Any] | None = None
+    timeout: TimeoutPolicy | None = None
 
 
 def _warn_invalid_state_schema(schema: type[Any] | Any) -> None:
@@ -251,10 +262,77 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         self.output_schema = cast(type[OutputT], output_schema or state_schema)
         self.context_schema = context_schema
 
+        self._node_defaults: _NodeDefaults = _NodeDefaults()
+
         self._add_schema(self.state_schema)
         self._add_schema(self.input_schema, allow_managed=False)
         self._add_schema(self.output_schema, allow_managed=False)
 
+    def set_node_defaults(
+        self,
+        *,
+        retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
+        cache_policy: CachePolicy | None = None,
+        error_handler: StateNode[Any, ContextT] | None = None,
+        timeout: float | timedelta | TimeoutPolicy | None = None,
+    ) -> Self:
+        """Set default node policies that apply to every node in this graph.
+
+        Per-node values passed to `add_node` always take precedence over these
+        defaults. Defaults are applied at `compile()` time. Policies set here
+        are **not** inherited by subgraphs.
+
+        `retry_policy` and `timeout` defaults apply to **all** nodes,
+        including error-handler nodes. `cache_policy` and `error_handler`
+        defaults only apply to regular nodes -- caching error-handler results
+        is unsafe, and handlers must never catch themselves.
+
+        Args:
+            retry_policy: Default retry policy for nodes that don't specify
+                their own via `add_node(..., retry_policy=...)`. Also applies
+                to error-handler nodes.
+            cache_policy: Default cache policy for nodes that don't specify
+                their own via `add_node(..., cache_policy=...)`. Does **not**
+                apply to error-handler nodes.
+            error_handler: Default error handler invoked when any regular node
+                raises and does not have its own `error_handler` set via
+                `add_node`. The handler is **not** invoked when an
+                error-handler node itself raises -- handler failures fail the
+                run.
+            timeout: Default timeout policy for nodes that don't specify their
+                own via `add_node(..., timeout=...)`. Also applies to
+                error-handler nodes. Accepts a `TimeoutPolicy`, a number of
+                seconds (`float`), or a `timedelta`.
+
+        Returns:
+            Self: The builder instance, for chaining.
+
+        Example:
+            ```python
+            graph = (
+                StateGraph(State)
+                .set_node_defaults(
+                    retry_policy=RetryPolicy(max_attempts=3),
+                    error_handler=my_fallback_handler,
+                )
+                .add_node("a", node_a)
+                .add_node("b", node_b, retry_policy=custom_retry)  # overrides default
+                .add_edge(START, "a")
+                .compile()
+            )
+            ```
+        """
+        defaults = self._node_defaults
+        if retry_policy is not None:
+            defaults.retry_policy = retry_policy
+        if cache_policy is not None:
+            defaults.cache_policy = cache_policy
+        if error_handler is not None:
+            defaults.error_handler = error_handler
+        if timeout is not None:
+            defaults.timeout = coerce_timeout_policy(timeout)
+        return self
+
     @property
     def _all_edges(self) -> set[tuple[str, str]]:
         return self.edges | {
@@ -303,6 +381,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         input_schema: None = None,
         retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
         cache_policy: CachePolicy | None = None,
+        error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
@@ -371,6 +450,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         input_schema: type[NodeInputT],
         retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
         cache_policy: CachePolicy | None = None,
+        error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
@@ -444,6 +524,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         input_schema: None = None,
         retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
         cache_policy: CachePolicy | None = None,
+        error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
@@ -512,6 +593,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         input_schema: type[NodeInputT],
         retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
         cache_policy: CachePolicy | None = None,
+        error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
@@ -587,6 +669,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         input_schema: type[NodeInputT] | None = None,
         retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
         cache_policy: CachePolicy | None = None,
+        error_handler: StateNode[Any, ContextT] | None = None,
         destinations: dict[str, str] | tuple[str, ...] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
         **kwargs: Unpack[DeprecatedKwargs],
@@ -607,6 +690,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
 
                 If a sequence is provided, the first matching policy will be applied.
             cache_policy: The cache policy for the node.
+            error_handler: Optional node-level error handler callable for this node.
             destinations: Destinations that indicate where a node can route to.
 
                 Useful for edgeless graphs with nodes that return `Command` objects.
@@ -766,6 +850,25 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         if destinations is not None:
             ends = destinations
 
+        resolved_input_schema: type[Any] = (
+            input_schema or inferred_input_schema or self.state_schema
+        )
+        handler_node_name: str | None = None
+        if error_handler is not None:
+            handler_node_name = f"__error_handler__{node}"
+            if handler_node_name in self.nodes:
+                raise ValueError(
+                    f"Auto-generated error handler node `{handler_node_name}` already exists."
+                )
+            self.nodes[handler_node_name] = StateNodeSpec[Any, ContextT](
+                coerce_to_runnable(error_handler, name=handler_node_name, trace=False),  # type: ignore[arg-type]
+                metadata=None,
+                input_schema=resolved_input_schema,
+                retry_policy=None,
+                cache_policy=None,
+                is_error_handler=True,
+            )
+
         if input_schema is not None:
             self.nodes[node] = StateNodeSpec[NodeInputT, ContextT](
                 coerce_to_runnable(action, name=node, trace=False),  # type: ignore[arg-type]
@@ -773,6 +876,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 input_schema=input_schema,
                 retry_policy=retry_policy,
                 cache_policy=cache_policy,
+                error_handler_node=handler_node_name,
                 ends=ends,
                 defer=defer,
                 timeout=timeout,
@@ -784,6 +888,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 input_schema=inferred_input_schema,
                 retry_policy=retry_policy,
                 cache_policy=cache_policy,
+                error_handler_node=handler_node_name,
                 ends=ends,
                 defer=defer,
                 timeout=timeout,
@@ -795,6 +900,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
                 input_schema=self.state_schema,
                 retry_policy=retry_policy,
                 cache_policy=cache_policy,
+                error_handler_node=handler_node_name,
                 ends=ends,
                 defer=defer,
                 timeout=timeout,
@@ -1052,7 +1158,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             for node in interrupt:
                 if node not in self.nodes:
                     raise ValueError(f"Interrupt node `{node}` not found")
-
         self.compiled = True
         return self
 
@@ -1101,7 +1206,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             name: The name to use for the compiled graph.
             transformers: Optional sequence of `StreamTransformer` classes or
                 configured factories. Classes and factories are instantiated
-                per run whenever `stream_v2` / `astream_v2` is called and are
+                per run whenever `stream_events(version="v3")` / `astream_events(version="v3")` is called and are
                 propagated to subgraph scopes. Custom factories should follow
                 the standard `StreamTransformer` constructor shape by
                 accepting `scope` as their first argument. Appended after the
@@ -1166,6 +1271,64 @@ 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
+        }
 
         compiled = CompiledStateGraph[StateT, ContextT, InputT, OutputT](
             builder=self,
@@ -1188,6 +1351,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             debug=debug,
             store=store,
             cache=cache,
+            node_error_handler_map=node_error_handler_map,
             name=name or "LangGraph",
             stream_transformers=transformers,
         )
@@ -1362,6 +1526,8 @@ class CompiledStateGraph(
                 metadata=node.metadata,
                 retry_policy=node.retry_policy,
                 cache_policy=node.cache_policy,
+                is_error_handler=node.is_error_handler,
+                error_handler_node=node.error_handler_node,
                 bound=node.runnable,  # type: ignore[arg-type]
                 timeout=node.timeout,
             )

libs/langgraph/langgraph/pregel/_algo.py

@@ -39,6 +39,7 @@ from langgraph._internal._constants import (
     CONFIG_KEY_CHECKPOINT_MAP,
     CONFIG_KEY_CHECKPOINT_NS,
     CONFIG_KEY_CHECKPOINTER,
+    CONFIG_KEY_NODE_ERROR,
     CONFIG_KEY_READ,
     CONFIG_KEY_RESUME_MAP,
     CONFIG_KEY_RUNTIME,
@@ -47,6 +48,7 @@ from langgraph._internal._constants import (
     CONFIG_KEY_TASK_ID,
     CONFIG_KEY_THREAD_ID,
     ERROR,
+    ERROR_SOURCE_NODE,
     INTERRUPT,
     NO_WRITES,
     NS_END,
@@ -66,6 +68,7 @@ from langgraph.channels.base import BaseChannel
 from langgraph.channels.topic import Topic
 from langgraph.channels.untracked_value import UntrackedValue
 from langgraph.constants import TAG_HIDDEN
+from langgraph.errors import NodeError
 from langgraph.managed.base import ManagedValueMapping
 from langgraph.pregel._call import get_runnable_for_task, identifier
 from langgraph.pregel._io import read_channels
@@ -292,7 +295,15 @@ def apply_writes(
     pending_writes_by_channel: dict[str, list[Any]] = defaultdict(list)
     for task in tasks:
         for chan, val in task.writes:
-            if chan in (NO_WRITES, PUSH, RESUME, INTERRUPT, RETURN, ERROR):
+            if chan in (
+                NO_WRITES,
+                PUSH,
+                RESUME,
+                INTERRUPT,
+                RETURN,
+                ERROR,
+                ERROR_SOURCE_NODE,
+            ):
                 pass
             elif chan in channels:
                 pending_writes_by_channel[chan].append(val)
@@ -750,6 +761,42 @@ def prepare_single_task(
                 return PregelTask(task_id, name, task_path[:3])
 
 
+def _coerce_pending_error(value: Any) -> BaseException:
+    if isinstance(value, BaseException):
+        return value
+    return Exception(str(value))
+
+
+def _read_errors_from_pending_writes(
+    pending_writes: list[PendingWrite],
+) -> list[BaseException]:
+    errors: list[BaseException] = []
+    for _, channel, value in pending_writes:
+        if channel == ERROR:
+            errors.append(_coerce_pending_error(value))
+    return errors
+
+
+def _read_error_for_task_id_from_pending_writes(
+    pending_writes: list[PendingWrite], task_id: str
+) -> BaseException | None:
+    for pending_task_id, channel, value in reversed(pending_writes):
+        if pending_task_id == task_id and channel == ERROR:
+            return _coerce_pending_error(value)
+    return None
+
+
+def _read_error_source_node_from_pending_writes(
+    pending_writes: list[PendingWrite], task_id: str
+) -> str | None:
+    for pending_task_id, channel, value in reversed(pending_writes):
+        if pending_task_id == task_id and channel == ERROR_SOURCE_NODE:
+            if isinstance(value, str):
+                return value
+            return str(value)
+    return None
+
+
 def prepare_push_task_functional(
     task_path: tuple[str, tuple, int, str, Call],
     # (PUSH, parent task path, idx of PUSH write, id of parent task, Call)
@@ -1060,6 +1107,147 @@ def prepare_push_task_send(
         return PregelTask(task_id, packet.node, translated_task_path)
 
 
+def prepare_node_error_handler_task(
+    failed_task: PregelExecutableTask,
+    *,
+    handler_node_name: str,
+    failed_error: BaseException,
+    checkpoint: Checkpoint,
+    pending_writes: list[PendingWrite],
+    processes: Mapping[str, PregelNode],
+    channels: Mapping[str, BaseChannel],
+    managed: ManagedValueMapping,
+    config: RunnableConfig,
+    step: int,
+    stop: int,
+    store: BaseStore | None = None,
+    checkpointer: BaseCheckpointSaver | None = None,
+    manager: None | ParentRunManager | AsyncParentRunManager = None,
+    cache_policy: CachePolicy | None = None,
+    retry_policy: Sequence[RetryPolicy] = (),
+) -> PregelExecutableTask | None:
+    """Prepare an immediate node-level error handler task for a failed task."""
+    if handler_node_name not in processes:
+        return None
+    proc = processes[handler_node_name]
+    proc_node = proc.node
+    if proc_node is None:
+        return None
+
+    checkpoint_id_bytes = binascii.unhexlify(checkpoint["id"].replace("-", ""))
+    task_id_func = _xxhash_str if checkpoint["v"] > 1 else _uuid5_str
+    configurable = config.get(CONF, {})
+    parent_ns = configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
+    checkpoint_ns = (
+        f"{parent_ns}{NS_SEP}{handler_node_name}" if parent_ns else handler_node_name
+    )
+    task_id = task_id_func(
+        checkpoint_id_bytes,
+        checkpoint_ns,
+        str(step),
+        handler_node_name,
+        PUSH,
+        "node_error_handler",
+        failed_task.id,
+    )
+    task_checkpoint_ns = f"{checkpoint_ns}:{task_id}"
+    translated_task_path = (*failed_task.path[:3], "node_error_handler", False)
+    metadata = {
+        "langgraph_step": step,
+        "langgraph_node": handler_node_name,
+        "langgraph_triggers": PUSH_TRIGGER,
+        "langgraph_path": translated_task_path,
+        "langgraph_checkpoint_ns": task_checkpoint_ns,
+    }
+    if proc.metadata:
+        metadata.update(proc.metadata)
+    writes: deque[tuple[str, Any]] = deque()
+
+    effective_retry_policy = proc.retry_policy or retry_policy
+    effective_cache_policy = proc.cache_policy or cache_policy
+    if effective_cache_policy:
+        args_key = effective_cache_policy.key_func(failed_task.input)
+        cache_key = CacheKey(
+            (
+                CACHE_NS_WRITES,
+                (identifier(proc) or "__dynamic__"),
+                handler_node_name,
+            ),
+            xxh3_128_hexdigest(
+                args_key.encode() if isinstance(args_key, str) else args_key
+            ),
+            effective_cache_policy.ttl,
+        )
+    else:
+        cache_key = None
+
+    scratchpad = _scratchpad(
+        config[CONF].get(CONFIG_KEY_SCRATCHPAD),
+        pending_writes,
+        task_id,
+        xxh3_128_hexdigest(task_checkpoint_ns.encode()),
+        config[CONF].get(CONFIG_KEY_RESUME_MAP),
+        step,
+        stop,
+    )
+    runtime = cast(Runtime, configurable.get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME))
+    runtime = runtime.override(
+        store=store, previous=checkpoint["channel_values"].get(PREVIOUS, None)
+    )
+    additional_config: RunnableConfig = {
+        "metadata": metadata,
+        "tags": proc.tags,
+    }
+    return PregelExecutableTask(
+        handler_node_name,
+        failed_task.input,
+        proc_node,
+        writes,
+        patch_config(
+            merge_configs(config, additional_config),
+            run_name=handler_node_name,
+            callbacks=manager.get_child(f"graph:step:{step}") if manager else None,
+            configurable={
+                CONFIG_KEY_TASK_ID: task_id,
+                CONFIG_KEY_SEND: writes.extend,
+                CONFIG_KEY_READ: partial(
+                    local_read,
+                    scratchpad,
+                    channels,
+                    managed,
+                    PregelTaskWrites(
+                        translated_task_path,
+                        handler_node_name,
+                        writes,
+                        PUSH_TRIGGER,
+                    ),
+                ),
+                CONFIG_KEY_CHECKPOINTER: (
+                    checkpointer or configurable.get(CONFIG_KEY_CHECKPOINTER)
+                ),
+                CONFIG_KEY_CHECKPOINT_MAP: {
+                    **configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {}),
+                    parent_ns: checkpoint["id"],
+                },
+                CONFIG_KEY_CHECKPOINT_ID: None,
+                CONFIG_KEY_CHECKPOINT_NS: task_checkpoint_ns,
+                CONFIG_KEY_SCRATCHPAD: scratchpad,
+                CONFIG_KEY_RUNTIME: runtime,
+                CONFIG_KEY_NODE_ERROR: NodeError(
+                    node=failed_task.name, error=failed_error
+                ),
+            },
+        ),
+        PUSH_TRIGGER,
+        effective_retry_policy,
+        cache_key,
+        task_id,
+        translated_task_path,
+        writers=proc.flat_writers,
+        subgraphs=proc.subgraphs,
+    )
+
+
 def checkpoint_null_version(
     checkpoint: Checkpoint,
 ) -> V | None:

libs/langgraph/langgraph/pregel/_checkpoint.py

@@ -5,10 +5,14 @@ from datetime import datetime, timezone
 from typing import Any, cast
 
 from langchain_core.runnables import RunnableConfig
-from langgraph.checkpoint.base import DELTA_SENTINEL, BaseCheckpointSaver, Checkpoint
+from langgraph.checkpoint.base import (
+    BaseCheckpointSaver,
+    Checkpoint,
+)
 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
@@ -30,6 +34,30 @@ def empty_checkpoint() -> Checkpoint:
     )
 
 
+def delta_channels_to_snapshot(
+    channels: Mapping[str, BaseChannel],
+    counters_since_delta_snapshot: Mapping[str, tuple[int, int]],
+) -> set[str]:
+    """Return the set of DeltaChannel names that should snapshot now.
+
+    A channel snapshots when EITHER its accumulated update count reaches
+    `snapshot_frequency` OR the total supersteps since its last snapshot
+    reaches `DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT`. This is a pure
+    predicate — no mutation.
+    """
+    result: set[str] = set()
+    for name, ch in channels.items():
+        if not isinstance(ch, DeltaChannel) or not ch.is_available():
+            continue
+        updates, supersteps = counters_since_delta_snapshot.get(name, (0, 0))
+        if (
+            updates >= ch.snapshot_frequency
+            or supersteps >= DELTA_MAX_SUPERSTEPS_SINCE_SNAPSHOT
+        ):
+            result.add(name)
+    return result
+
+
 def create_checkpoint(
     checkpoint: Checkpoint,
     channels: Mapping[str, BaseChannel] | None,
@@ -38,22 +66,19 @@ def create_checkpoint(
     id: str | None = None,
     updated_channels: set[str] | None = None,
     get_next_version: GetNextVersion | None = None,
-    force_delta_snapshot: bool = False,
+    channels_to_snapshot: set[str] | None = None,
 ) -> Checkpoint:
-    """Create a checkpoint for the given channels.
+    """Build a new Checkpoint from the previous one and live channel state.
 
-    For `DeltaChannel` with `snapshot_frequency=N`, snapshot steps write a
-    `_DeltaSnapshot` blob rather than `DELTA_SENTINEL`, bounding the ancestor
-    walk to at most N steps. Snapshots are eager: even if the channel had no
-    write this step, a version bump is forced (via `get_next_version`) so the
-    blob is stored by `put()`. Without `get_next_version` (e.g. static
-    contexts), snapshot steps gracefully fall back to sentinel.
-
-    `force_delta_snapshot` writes available `DeltaChannel` values as snapshots
-    regardless of `snapshot_frequency`. This is used by `durability="exit"`,
-    where intermediate writes are not stored as ancestor `checkpoint_writes`.
+    For each name in `channels_to_snapshot`, a `_DeltaSnapshot(value)` blob
+    is written into `channel_values[k]`. Other delta channels are omitted
+    from `channel_values` — the ancestor walk reconstructs their state
+    from `checkpoint_writes`. Callers compute the set via
+    `delta_channels_to_snapshot(channels, counters)`; defaults to empty
+    (no snapshots) when not provided.
     """
     ts = datetime.now(timezone.utc).isoformat()
+    channels_to_snapshot = channels_to_snapshot or set()
     if channels is None:
         values = checkpoint["channel_values"]
         channel_versions = checkpoint["channel_versions"]
@@ -64,13 +89,18 @@ def create_checkpoint(
             if k not in channel_versions:
                 continue
             ch = channels[k]
-            if (
-                isinstance(ch, DeltaChannel)
-                and (force_delta_snapshot or ch.is_snapshot_step(step))
-                and ch.is_available()
-            ):
-                # Eager snapshot: bump version if not already written this step
-                # so put() includes this channel in new_versions and stores blob.
+            if k in channels_to_snapshot:
+                # In exit mode, the snapshot decision is deferred to exit
+                # time (intermediate steps have do_checkpoint=False). The
+                # channel's count may have reached snapshot_frequency over
+                # several supersteps, but the LAST superstep may not have
+                # written to this channel. In that case apply_writes()
+                # (in _algo.py) didn't bump this channel's version, so
+                # saver.put() wouldn't include it in new_versions and
+                # the snapshot blob would be silently dropped. The manual
+                # bump below closes the gap. In sync/async durability this
+                # branch is effectively dead code (the step that pushes
+                # the count to freq always writes the channel).
                 if get_next_version is not None and (
                     updated_channels is None or k not in updated_channels
                 ):
@@ -92,15 +122,15 @@ def create_checkpoint(
 
 
 def _needs_replay(spec: BaseChannel, stored: object) -> bool:
-    """True if `spec` is a `DeltaChannel` and the stored blob is a sentinel,
-    requiring an ancestor walk to reconstruct.
+    """True if `spec` is a `DeltaChannel` and no value is stored at this
+    checkpoint, requiring an ancestor walk to reconstruct.
 
     `_DeltaSnapshot` blobs and plain values (migration) resolve directly via
-    `from_checkpoint` — only `DELTA_SENTINEL` / `MISSING` trigger replay.
+    `from_checkpoint` — only absence (`MISSING`) triggers replay.
     """
     if not isinstance(spec, DeltaChannel):
         return False
-    return stored is MISSING or stored is DELTA_SENTINEL
+    return stored is MISSING
 
 
 def channels_from_checkpoint(
@@ -113,10 +143,12 @@ def channels_from_checkpoint(
     """Hydrate channels from a checkpoint.
 
     For most channels, `spec.from_checkpoint(checkpoint["channel_values"][k])`
-    is sufficient. `DeltaChannel` is the exception: sentinel blobs require an
-    ancestor walk via `saver._get_channel_writes_history`. The walk terminates
-    at the nearest `_DeltaSnapshot` blob (step-based) or a pre-migration plain
-    value, so read depth is bounded by `snapshot_frequency`.
+    is sufficient. `DeltaChannel` is the exception: when the channel is
+    absent from `channel_values`, an ancestor walk via
+    `saver.get_delta_channel_history` is required to find the nearest seed
+    (`_DeltaSnapshot` blob or pre-migration plain value) and accumulate
+    the writes between it and the target. All delta channels needing
+    replay are batched into a single saver call.
     """
     channel_specs: dict[str, BaseChannel] = {}
     managed_specs: dict[str, ManagedValueSpec] = {}
@@ -126,18 +158,28 @@ def channels_from_checkpoint(
         else:
             managed_specs[k] = v
 
+    delta_channels: list[str] = [
+        k
+        for k, spec in channel_specs.items()
+        if _needs_replay(spec, checkpoint["channel_values"].get(k, MISSING))
+    ]
+    histories: Mapping[str, Any] = {}
+    if delta_channels and saver is not None and config is not None:
+        histories = saver.get_delta_channel_history(
+            config=config, channels=delta_channels
+        )
+
     channels: dict[str, BaseChannel] = {}
     for k, spec in channel_specs.items():
         ch: BaseChannel
-        stored = checkpoint["channel_values"].get(k, MISSING)
-        if _needs_replay(spec, stored) and saver is not None and config is not None:
+        if k in histories:
             delta_spec = cast(DeltaChannel, spec)
-            history = saver._get_channel_writes_history(config, k)
-            replay_ch = delta_spec.from_checkpoint(history.seed)
-            replay_ch.replay_writes(history.writes)
+            history = histories[k]
+            replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
+            replay_ch.replay_writes(history["writes"])
             ch = replay_ch
         else:
-            ch = spec.from_checkpoint(stored)
+            ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
         channels[k] = ch
     return channels, managed_specs
 
@@ -158,18 +200,28 @@ async def achannels_from_checkpoint(
         else:
             managed_specs[k] = v
 
+    delta_channels: list[str] = [
+        k
+        for k, spec in channel_specs.items()
+        if _needs_replay(spec, checkpoint["channel_values"].get(k, MISSING))
+    ]
+    histories: Mapping[str, Any] = {}
+    if delta_channels and saver is not None and config is not None:
+        histories = await saver.aget_delta_channel_history(
+            config=config, channels=delta_channels
+        )
+
     channels: dict[str, BaseChannel] = {}
     for k, spec in channel_specs.items():
         ch: BaseChannel
-        stored = checkpoint["channel_values"].get(k, MISSING)
-        if _needs_replay(spec, stored) and saver is not None and config is not None:
+        if k in histories:
             delta_spec = cast(DeltaChannel, spec)
-            history = await saver._aget_channel_writes_history(config, k)
-            replay_ch = delta_spec.from_checkpoint(history.seed)
-            replay_ch.replay_writes(history.writes)
+            history = histories[k]
+            replay_ch = delta_spec.from_checkpoint(history.get("seed", MISSING))
+            replay_ch.replay_writes(history["writes"])
             ch = replay_ch
         else:
-            ch = spec.from_checkpoint(stored)
+            ch = spec.from_checkpoint(checkpoint["channel_values"].get(k, MISSING))
         channels[k] = ch
     return channels, managed_specs
 

libs/langgraph/langgraph/pregel/_loop.py

@@ -45,11 +45,13 @@ from langgraph._internal._constants import (
     CONFIG_KEY_REPLAY_STATE,
     CONFIG_KEY_RESUME_MAP,
     CONFIG_KEY_RESUMING,
+    CONFIG_KEY_RUNTIME,
     CONFIG_KEY_SCRATCHPAD,
     CONFIG_KEY_STREAM,
     CONFIG_KEY_TASK_ID,
     CONFIG_KEY_THREAD_ID,
     ERROR,
+    ERROR_SOURCE_NODE,
     INPUT,
     INTERRUPT,
     NS_END,
@@ -87,6 +89,7 @@ from langgraph.pregel._algo import (
     checkpoint_null_version,
     increment,
     prepare_next_tasks,
+    prepare_node_error_handler_task,
     prepare_single_task,
     sanitize_untracked_values_in_send,
     should_interrupt,
@@ -97,6 +100,7 @@ from langgraph.pregel._checkpoint import (
     channels_from_checkpoint,
     copy_checkpoint,
     create_checkpoint,
+    delta_channels_to_snapshot,
     empty_checkpoint,
 )
 from langgraph.pregel._executor import (
@@ -111,6 +115,7 @@ from langgraph.pregel._io import (
     map_output_values,
     read_channels,
 )
+from langgraph.pregel._messages import ensure_message_ids
 from langgraph.pregel._read import PregelNode
 from langgraph.pregel._utils import get_new_channel_versions, is_xxh3_128_hexdigest
 from langgraph.pregel.debug import (
@@ -119,6 +124,7 @@ from langgraph.pregel.debug import (
     map_debug_tasks,
 )
 from langgraph.pregel.protocol import StreamChunk, StreamProtocol
+from langgraph.runtime import RunControl, Runtime
 from langgraph.types import (
     All,
     CachePolicy,
@@ -190,8 +196,46 @@ class PregelLoop:
     _migrate_checkpoint: Callable[[Checkpoint], None] | None
     submit: Submit
     channels: Mapping[str, BaseChannel]
-    # Only set on AsyncPregelLoop; sync loops keep this as None.
+    # Futures from `checkpointer.put_writes` calls that produced delta-channel
+    # writes. `_checkpointer_put_after_previous` drains this list (swap to a
+    # local `futs` then reset to `[]` and wait/gather) before putting the
+    # next checkpoint, so a checkpoint never becomes durable before the
+    # writes that produced it. Initialised to `[]` in both sync and async
+    # `__enter__`; stays `None` only when no checkpointer.
     _delta_write_futs: list[Any] | None = None
+
+    # 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
+    # that will snapshot, then persists the rest under an anchor parent.
+    # `None` when not in exit mode (so the capture sites are no-ops).
+    # Each tuple is `(step, task_id, channel, value)` — `step` drives the
+    # synthetic step-prefixed task_id used to preserve chronological order
+    # under the saver's `ORDER BY task_id, idx` sorting.
+    _exit_delta_writes: list[tuple[int, str, str, Any]] | None = None
+
+    # The checkpoint_config that points at the parent loaded at `__enter__`
+    # (or the synthetic-empty checkpoint, on first run). We capture it
+    # eagerly because every `_put_checkpoint` advances `self.checkpoint_config`
+    # to the newly-saved checkpoint's id — by exit time the original parent
+    # config would otherwise be lost. `_put_exit_delta_writes` uses this:
+    # on resumed runs as the anchor for exit delta writes; on first runs
+    # to derive the lazy stub's config (its `checkpoint_id` is the
+    # synthetic-empty id we want the stub persisted under).
+    _initial_checkpoint_config: RunnableConfig
+
+    # True iff the saver actually returned a tuple at `__enter__`. False
+    # on the first-ever run for a thread (no parent persisted yet).
+    # `_put_exit_delta_writes` uses this to decide between anchoring on
+    # the existing parent (True) or creating a lazy stub (False).
+    _has_persisted_parent: bool = False
+
     managed: ManagedValueMapping
     checkpoint: Checkpoint
     checkpoint_id_saved: str
@@ -206,10 +250,12 @@ class PregelLoop:
         "input",
         "pending",
         "done",
+        "draining",
         "interrupt_before",
         "interrupt_after",
         "out_of_steps",
     ]
+    control: RunControl | None
     tasks: dict[str, PregelExecutableTask]
     output: None | dict[str, Any] | Any = None
     updated_channels: set[str] | None = None
@@ -317,6 +363,8 @@ class PregelLoop:
             else ()
         )
         self.prev_checkpoint_config = None
+        runtime = self.config[CONF].get(CONFIG_KEY_RUNTIME)
+        self.control = runtime.control if isinstance(runtime, Runtime) else None
 
     def _push_graph_lifecycle_event(
         self,
@@ -324,11 +372,16 @@ class PregelLoop:
         *,
         interrupts: tuple[Interrupt, ...] = (),
     ) -> None:
+        # drain status never reaches lifecycle events: tick() returns False
+        # before pushing, and interrupts are raised through GraphInterrupt
+        if self.status == "draining":
+            raise RuntimeError("Draining status cannot emit lifecycle events")
+        status = self.status
         if kind == "resume":
             self._graph_lifecycle_events.append(
                 GraphResumeEvent(
                     run_id=None,
-                    status=self.status,
+                    status=status,
                     checkpoint_id=self.checkpoint["id"],
                     checkpoint_ns=self.checkpoint_ns,
                 )
@@ -337,7 +390,7 @@ class PregelLoop:
             self._graph_lifecycle_events.append(
                 GraphInterruptEvent(
                     run_id=None,
-                    status=self.status,
+                    status=status,
                     checkpoint_id=self.checkpoint["id"],
                     checkpoint_ns=self.checkpoint_ns,
                     interrupts=interrupts,
@@ -395,6 +448,14 @@ class PregelLoop:
 
         # save writes
         self.checkpoint_pending_writes.extend((task_id, c, v) for c, v in writes)
+        # Assign stable IDs to any id=None BaseMessages in DeltaChannel writes
+        # before the background thread serialises them. Without this, reducers
+        # that assign IDs inside apply_writes() race with serialisation and
+        # store id=None, causing get_state() replays to produce a different UUID
+        # on every call.
+        for c, v in writes_to_save:
+            if isinstance(self.specs.get(c), DeltaChannel):
+                ensure_message_ids(v)
         if self.durability != "exit" and self.checkpointer_put_writes is not None:
             config = patch_configurable(
                 self.checkpoint_config,
@@ -428,6 +489,13 @@ class PregelLoop:
                 isinstance(self.specs.get(c), DeltaChannel) for c, _ in writes_to_save
             ):
                 self._delta_write_futs.append(fut)
+            # ERROR_SOURCE_NODE is only appended by commit() when the task
+            # has an error handler (_should_route_to_error_handler), so this
+            # check naturally limits future collection to those tasks.
+            if self._error_handler_write_futs is not None and any(
+                c == ERROR_SOURCE_NODE for c, _ in writes
+            ):
+                self._error_handler_write_futs.append(fut)
         # output writes
         if hasattr(self, "tasks"):
             self.output_writes(task_id, writes)
@@ -507,10 +575,20 @@ class PregelLoop:
             self.tasks[pushed.id] = pushed
             # match any pending writes to the new task
             if not self.is_replaying:
-                self._match_writes({pushed.id: pushed})
+                self._reapply_writes_to_succeeded_nodes({pushed.id: pushed})
             # return the new task, to be started if not run before
             return pushed
 
+    def schedule_error_handler(
+        self, failed_task: PregelExecutableTask, error: BaseException
+    ) -> PregelExecutableTask | None:
+        raise NotImplementedError
+
+    async def aschedule_error_handler(
+        self, failed_task: PregelExecutableTask, error: BaseException
+    ) -> PregelExecutableTask | None:
+        raise NotImplementedError
+
     def tick(self) -> bool:
         """Execute a single iteration of the Pregel loop.
 
@@ -569,9 +647,14 @@ class PregelLoop:
             self.status = "done"
             return False
 
+        if self.control is not None and self.control.drain_requested:
+            self.status = "draining"
+            return False
+
         # if there are pending writes from a previous loop, apply them
         if not self.is_replaying and self.checkpoint_pending_writes:
-            self._match_writes(self.tasks)
+            self._reapply_writes_to_succeeded_nodes(self.tasks)
+            self._resume_error_handlers_if_applicable()
 
         # before execution, check if we should interrupt
         if self.interrupt_before and should_interrupt(
@@ -610,6 +693,11 @@ class PregelLoop:
             self._emit(
                 "values", map_output_values, self.output_keys, writes, self.channels
             )
+        # capture delta-channel writes for exit-mode accumulator before clearing
+        if self._exit_delta_writes is not None:
+            for tid, ch, v in self.checkpoint_pending_writes:
+                if isinstance(self.specs.get(ch), DeltaChannel):
+                    self._exit_delta_writes.append((self.step, tid, ch, v))
         # clear pending writes
         self.checkpoint_pending_writes.clear()
         # only replay (re-execute) done tasks on the first tick
@@ -633,13 +721,88 @@ class PregelLoop:
 
     # private
 
-    def _match_writes(self, tasks: Mapping[str, PregelExecutableTask]) -> None:
+    def _reapply_writes_to_succeeded_nodes(
+        self, tasks: Mapping[str, PregelExecutableTask]
+    ) -> None:
+        """Restore successful channel writes from checkpoint to in-memory tasks.
+
+        Skips control signals (ERROR, ERROR_SOURCE_NODE, INTERRUPT, RESUME)
+        so that failed/interrupted tasks remain with empty writes and will be
+        re-executed (or routed to error handlers) by the runner.
+        """
         for tid, k, v in self.checkpoint_pending_writes:
-            if k in (ERROR, INTERRUPT, RESUME):
+            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
@@ -827,6 +990,27 @@ class PregelLoop:
                 self.checkpointer_get_next_version,
                 self.trigger_to_nodes,
             )
+            # Input writes go through `apply_writes` directly (above) — they
+            # never enter `checkpoint_pending_writes`, so the after_tick
+            # capture site does not see them. In exit mode, capture them
+            # here so `_exit_delta_writes` includes the input's delta writes
+            # alongside per-superstep writes; otherwise the input would be
+            # lost on read (it's not in final_checkpoint.channel_values for
+            # sub-freq channels, and walks ignore target.pending_writes).
+            if self._exit_delta_writes is not None:
+                for c, v in input_writes:
+                    if isinstance(self.specs.get(c), DeltaChannel):
+                        self._exit_delta_writes.append((self.step, NULL_TASK_ID, c, v))
+            # Persist delta-channel input writes so sub-freq inputs are
+            # recoverable via ancestor walk (mirrors the Command input path).
+            if self.durability != "exit":
+                delta_input = [
+                    (c, v)
+                    for c, v in input_writes
+                    if isinstance(self.specs.get(c), DeltaChannel)
+                ]
+                if delta_input:
+                    self.put_writes(NULL_TASK_ID, delta_input)
             # save input checkpoint
             self.updated_channels = updated_channels
             self._put_checkpoint({"source": "input"})
@@ -878,20 +1062,66 @@ class PregelLoop:
         return updated_channels
 
     def _put_checkpoint(self, metadata: CheckpointMetadata) -> None:
-        # assign step and parents
+        # `is` (object identity) — not `==`. Three of four call sites pass a
+        # fresh dict ({"source":"input"|"loop"|"fork"}); only
+        # `_suppress_interrupt`(will rename to _on_loop_exit soon)
+        # at exit reuses the existing `self.checkpoint_metadata` instance. So
+        # `metadata is self.checkpoint_metadata` is True only on the exit call,
+        # which is what we use to gate exit-only behaviour (skip count-bump,
+        # don't replace metadata). Could be replaced by an explicit
+        # `exiting: bool = False` parameter; left as-is to match the existing
+        # idiom in this file.
+        # TODO: replace with an explicit `exiting: bool = False` parameter.
         exiting = metadata is self.checkpoint_metadata
         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.
+        #
+        # `_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,
+        # `_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.
         if not exiting:
+            prev_counters = dict(
+                self.checkpoint_metadata.get("counters_since_delta_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)
             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 {}
+            )
         # do checkpoint?
         do_checkpoint = self._checkpointer_put_after_previous is not None and (
             exiting or self.durability != "exit"
         )
         # create new checkpoint
+        channels_to_snapshot = (
+            delta_channels_to_snapshot(self.channels, new_counters)
+            if do_checkpoint
+            else set()
+        )
         self.checkpoint = create_checkpoint(
             self.checkpoint,
             self.channels if do_checkpoint else None,
@@ -901,8 +1131,15 @@ class PregelLoop:
             get_next_version=self.checkpointer_get_next_version
             if do_checkpoint
             else None,
-            force_delta_snapshot=exiting and self.durability == "exit",
+            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"]
         # 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()
@@ -961,6 +1198,99 @@ class PregelLoop:
             # increment step
             self.step += 1
 
+    def _put_exit_delta_writes(self) -> None:
+        """Stage stub + accumulated delta writes so final_checkpoint's put
+        waits on them (visibility invariant: both must be durable before
+        final_checkpoint becomes visible to readers).
+
+        Stub is created lazily — only when no persisted parent exists AND at
+        least one delta channel has writes that won't be snapshotted.
+        """
+        if (
+            not self._exit_delta_writes
+            or self.checkpointer is None
+            or self._checkpointer_put_after_previous is None
+            or self.checkpointer_put_writes is None
+        ):
+            return
+
+        counters = dict(
+            self.checkpoint_metadata.get("counters_since_delta_snapshot") or {}
+        )
+        channels_to_snapshot = delta_channels_to_snapshot(self.channels, counters)
+
+        pending = [
+            (step, tid, ch, v)
+            for (step, tid, ch, v) in self._exit_delta_writes
+            if ch not in channels_to_snapshot
+        ]
+        if not pending:
+            return
+
+        if self._has_persisted_parent:
+            # _initial_checkpoint_config's checkpoint_id is the saved parent's
+            # id (saver returned a real tuple at __enter__).
+            anchor_config = self._initial_checkpoint_config
+        else:
+            stub_cp = empty_checkpoint()
+            stub_cp["id"] = self.checkpoint_id_saved
+            stub_cp["ts"] = datetime.now(timezone.utc).isoformat()
+            # Stub has no parent (checkpoint_id=None in config).
+            stub_put_config = patch_configurable(
+                self._initial_checkpoint_config,
+                {CONFIG_KEY_CHECKPOINT_ID: None},
+            )
+            # Anchor config for put_writes: checkpoint_id = stub's id.
+            anchor_config = patch_configurable(
+                self._initial_checkpoint_config,
+                {CONFIG_KEY_CHECKPOINT_ID: stub_cp["id"]},
+            )
+            self._put_checkpoint_fut = self.submit(
+                self._checkpointer_put_after_previous,
+                getattr(self, "_put_checkpoint_fut", None),
+                stub_put_config,
+                stub_cp,
+                {"step": -2},
+                {},
+            )
+            # Set checkpoint_config so final_checkpoint's _put_checkpoint
+            # sees the stub as its parent.
+            self.checkpoint_config = anchor_config
+
+        # Step-prefixed synthetic task_id preserves chronological superstep
+        # order under the saver's ORDER BY task_id, idx sorting.
+        grouped: dict[tuple[int, str], list[tuple[str, Any]]] = {}
+        for step, tid, ch, v in pending:
+            grouped.setdefault((step, tid), []).append((ch, v))
+        anchor_write_config = patch_configurable(
+            anchor_config,
+            {
+                CONFIG_KEY_CHECKPOINT_NS: self.config[CONF].get(
+                    CONFIG_KEY_CHECKPOINT_NS, ""
+                ),
+                CONFIG_KEY_CHECKPOINT_ID: anchor_config[CONF][CONFIG_KEY_CHECKPOINT_ID],
+            },
+        )
+        for (step, tid), entries in grouped.items():
+            synth_tid = f"{step:08d}-{tid}"
+            if self.checkpointer_put_writes_accepts_task_path:
+                fut = self.submit(
+                    self.checkpointer_put_writes,
+                    anchor_write_config,
+                    entries,
+                    synth_tid,
+                    "",
+                )
+            else:
+                fut = self.submit(
+                    self.checkpointer_put_writes,
+                    anchor_write_config,
+                    entries,
+                    synth_tid,
+                )
+            if self._delta_write_futs is not None:
+                self._delta_write_futs.append(fut)
+
     def _suppress_interrupt(
         self,
         exc_type: type[BaseException] | None,
@@ -976,6 +1306,7 @@ class PregelLoop:
             # or a nested graph with checkpointer=True
             or all(NS_END not in part for part in self.checkpoint_ns)
         ):
+            self._put_exit_delta_writes()
             self._put_checkpoint(self.checkpoint_metadata)
             self._put_pending_writes()
         # suppress interrupt
@@ -1181,6 +1512,9 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
         metadata: CheckpointMetadata,
         new_versions: ChannelVersions,
     ) -> RunnableConfig:
+        if self._delta_write_futs:
+            futs, self._delta_write_futs = self._delta_write_futs, []
+            concurrent.futures.wait(futs)
         try:
             if prev is not None:
                 prev.result()
@@ -1212,6 +1546,43 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
                 self.output_writes(task.id, task.writes, cached=True)
         return pushed
 
+    def schedule_error_handler(
+        self, failed_task: PregelExecutableTask, error: BaseException
+    ) -> PregelExecutableTask | None:
+        handler_node = self.nodes[failed_task.name].error_handler_node
+        if not handler_node:
+            return None
+        # ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
+        if self._error_handler_write_futs:
+            futs, self._error_handler_write_futs = self._error_handler_write_futs, []
+            concurrent.futures.wait(futs)
+        handler_task = prepare_node_error_handler_task(
+            failed_task,
+            handler_node_name=handler_node,
+            failed_error=error,
+            checkpoint=self.checkpoint,
+            pending_writes=self.checkpoint_pending_writes,
+            processes=self.nodes,
+            channels=self.channels,
+            managed=self.managed,
+            config=failed_task.config,
+            step=self.step,
+            stop=self.stop,
+            store=self.store,
+            checkpointer=self.checkpointer,
+            manager=self.manager,
+            retry_policy=self.retry_policy,
+            cache_policy=self.cache_policy,
+        )
+        if handler_task is None:
+            return None
+        self.tasks[handler_task.id] = handler_task
+        if not self.is_replaying:
+            self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
+        for task in self.match_cached_writes():
+            self.output_writes(task.id, task.writes, cached=True)
+        return handler_task
+
     def put_writes(self, task_id: str, writes: WritesT) -> None:
         """Put writes for a task, to be read by the next tick."""
         super().put_writes(task_id, writes)
@@ -1259,6 +1630,10 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             # graph/thread. Returns None on first invocation.
             saved = self.checkpointer.get_tuple(self.checkpoint_config)
 
+        # Capture before the synthetic-empty fallback below overwrites `saved`.
+        # `_put_exit_delta_writes` uses this on first run (no persisted parent)
+        # to lazy-create a stub instead of anchoring delta writes on a parent.
+        self._has_persisted_parent = saved is not None
         if saved is None:
             saved = CheckpointTuple(
                 self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1274,6 +1649,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
                 **saved.config.get(CONF, {}),
             },
         }
+        self._initial_checkpoint_config = self.checkpoint_config
         self.prev_checkpoint_config = saved.parent_config
         self.checkpoint_id_saved = saved.checkpoint["id"]
         self.checkpoint = saved.checkpoint
@@ -1283,6 +1659,11 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
             if saved.pending_writes is not None
             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
+        )
         self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
         self.channels, self.managed = channels_from_checkpoint(
             self.specs,
@@ -1384,7 +1765,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
         new_versions: ChannelVersions,
     ) -> RunnableConfig:
         # Drain DeltaChannel write futures before committing the checkpoint so
-        # DELTA_SENTINEL blobs are never saved ahead of their backing writes.
+        # ancestor walks never see a checkpoint without its backing writes.
         if self._delta_write_futs:
             futs, self._delta_write_futs = self._delta_write_futs, []
             await asyncio.gather(*futs)
@@ -1419,6 +1800,43 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
                 self.output_writes(task.id, task.writes, cached=True)
         return pushed
 
+    async def aschedule_error_handler(
+        self, failed_task: PregelExecutableTask, error: BaseException
+    ) -> PregelExecutableTask | None:
+        handler_node = self.nodes[failed_task.name].error_handler_node
+        if not handler_node:
+            return None
+        # ensure error + ERROR_SOURCE_NODE writes are durable before handler runs
+        if self._error_handler_write_futs:
+            futs, self._error_handler_write_futs = self._error_handler_write_futs, []
+            await asyncio.gather(*futs)
+        handler_task = prepare_node_error_handler_task(
+            failed_task,
+            handler_node_name=handler_node,
+            failed_error=error,
+            checkpoint=self.checkpoint,
+            pending_writes=self.checkpoint_pending_writes,
+            processes=self.nodes,
+            channels=self.channels,
+            managed=self.managed,
+            config=failed_task.config,
+            step=self.step,
+            stop=self.stop,
+            store=self.store,
+            checkpointer=self.checkpointer,
+            manager=self.manager,
+            retry_policy=self.retry_policy,
+            cache_policy=self.cache_policy,
+        )
+        if handler_task is None:
+            return None
+        self.tasks[handler_task.id] = handler_task
+        if not self.is_replaying:
+            self._reapply_writes_to_succeeded_nodes({handler_task.id: handler_task})
+        for task in await self.amatch_cached_writes():
+            self.output_writes(task.id, task.writes, cached=True)
+        return handler_task
+
     def put_writes(self, task_id: str, writes: WritesT) -> None:
         """Put writes for a task, to be read by the next tick."""
         super().put_writes(task_id, writes)
@@ -1469,6 +1887,10 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
             # graph/thread. Returns None on first invocation.
             saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
 
+        # Capture before the synthetic-empty fallback below overwrites `saved`.
+        # `_put_exit_delta_writes` uses this on first run (no persisted parent)
+        # to lazy-create a stub instead of anchoring delta writes on a parent.
+        self._has_persisted_parent = saved is not None
         if saved is None:
             saved = CheckpointTuple(
                 self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1484,6 +1906,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
                 **saved.config.get(CONF, {}),
             },
         }
+        self._initial_checkpoint_config = self.checkpoint_config
         self.prev_checkpoint_config = saved.parent_config
         self.checkpoint_id_saved = saved.checkpoint["id"]
         self.checkpoint = saved.checkpoint
@@ -1494,6 +1917,10 @@ 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
+        )
         self.submit = await self.stack.enter_async_context(
             AsyncBackgroundExecutor(self.config)
         )

libs/langgraph/langgraph/pregel/_messages.py

@@ -10,10 +10,12 @@ from typing import (
 from uuid import UUID, uuid4
 
 from langchain_core.callbacks import BaseCallbackHandler
-from langchain_core.messages import BaseMessage
+from langchain_core.messages import BaseMessage, ToolMessage
+from langchain_core.messages.utils import convert_to_messages
 from langchain_core.outputs import ChatGeneration, ChatGenerationChunk, LLMResult
 from pydantic import BaseModel
 
+from langgraph._internal._config import filter_to_user_tags
 from langgraph._internal._constants import NS_SEP
 from langgraph.constants import TAG_HIDDEN, TAG_NOSTREAM
 from langgraph.pregel.protocol import StreamChunk
@@ -142,9 +144,8 @@ class StreamMessagesHandler(BaseCallbackHandler, _StreamingCallbackHandler):
             ]
             if not self.subgraphs and len(ns) > 0 and ns != self.parent_ns:
                 return
-            if tags:
-                if filtered_tags := [t for t in tags if not t.startswith("seq:step")]:
-                    metadata["tags"] = filtered_tags
+            if (filtered_tags := filter_to_user_tags(tags)) is not None:
+                metadata["tags"] = filtered_tags
             self.metadata[run_id] = (ns, metadata)
 
     def on_llm_new_token(
@@ -303,6 +304,35 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
         super().__init__(stream, subgraphs, parent_ns=parent_ns)
         self._streamed_run_ids: set[UUID] = set()
 
+    def _find_and_emit_messages(self, meta: Meta, response: Any) -> None:
+        """Like the v1 handler, but skip ToolMessage from node outputs.
+
+        Tool results belong on the tools channel / state in v3; v2-flagged streams
+        must not replay finalized ToolMessages as chat tokens (see MessagesTransformer).
+        Legacy v1-only `stream_mode="messages"` still emits ToolMessages (see subgraph
+        streaming tests).
+        """
+        if isinstance(response, BaseMessage) and not isinstance(response, ToolMessage):
+            self._emit(meta, response, dedupe=True)
+        elif isinstance(response, Sequence):
+            for value in response:
+                if isinstance(value, BaseMessage) and not isinstance(
+                    value, ToolMessage
+                ):
+                    self._emit(meta, value, dedupe=True)
+        else:
+            for value in _state_values(response):
+                if isinstance(value, BaseMessage) and not isinstance(
+                    value, ToolMessage
+                ):
+                    self._emit(meta, value, dedupe=True)
+                elif isinstance(value, Sequence):
+                    for item in value:
+                        if isinstance(item, BaseMessage) and not isinstance(
+                            item, ToolMessage
+                        ):
+                            self._emit(meta, item, dedupe=True)
+
     def on_llm_end(
         self,
         response: LLMResult,
@@ -349,7 +379,7 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
         tags: list[str] | None = None,
         **kwargs: Any,
     ) -> Any:
-        """Forward a protocol event from `stream_v2` as a messages stream part.
+        """Forward a protocol event from `stream_events(version="v3")` as a messages stream part.
 
         Fires once per `MessagesData` event (`message-start`, per-block
         `content-block-*`, `message-finish`). The transformer layer
@@ -376,3 +406,56 @@ class StreamMessagesHandlerV2(StreamMessagesHandler, _V2StreamingCallbackHandler
                     self.seen.add(msg_id)
             v2_meta = {**meta[1], "run_id": str(run_id)}
             self.stream((meta[0], "messages", (event, v2_meta)))
+
+
+# Known role values (OpenAI-style) and type values (LangChain serialisation)
+# that identify a dict as a message. Checked before coercing to BaseMessage so
+# we don't accidentally touch unrelated dicts that happen to have a "role" key.
+_MESSAGE_ROLES: frozenset[str] = frozenset(
+    {"user", "human", "assistant", "ai", "tool", "system", "function"}
+)
+_MESSAGE_TYPES: frozenset[str] = frozenset(
+    {"human", "ai", "tool", "system", "function", "remove"}
+)
+
+
+def _is_message_dict(item: dict) -> bool:
+    return item.get("role") in _MESSAGE_ROLES or item.get("type") in _MESSAGE_TYPES
+
+
+def ensure_message_ids(value: Any) -> None:
+    """Coerce message-like write values to typed BaseMessages with stable IDs.
+
+    Called in put_writes() before DeltaChannel writes are submitted to the
+    checkpointer. Without this the checkpoint may store raw dicts or id=None
+    BaseMessages; every get_state() replay then produces a different UUID and
+    the same message appears with a different ID in each LangSmith trace.
+
+    Handles three input shapes:
+    - BaseMessage objects: assign a UUID if id is None.
+    - Dicts with a known "role" (OpenAI-style) or "type" (LangChain format) at
+      the root level: stamp "id" into the dict in-place. The reducer's
+      convert_to_messages call will forward the id to the resulting BaseMessage.
+    - Lists of the above: apply the same logic to each element, replacing dict
+      items with coerced BaseMessages so the shared list reference seen by
+      checkpoint_pending_writes and the background thread both get typed messages.
+
+    Mutating synchronously here (before the background thread is submitted) is
+    safe: the serialised bytes always reflect the post-coercion state.
+    """
+    if isinstance(value, BaseMessage):
+        if value.id is None:
+            value.id = str(uuid4())
+    elif isinstance(value, dict) and _is_message_dict(value):
+        if not value.get("id"):
+            value["id"] = str(uuid4())
+    elif isinstance(value, list):
+        for i, item in enumerate(value):
+            if isinstance(item, BaseMessage):
+                if item.id is None:
+                    item.id = str(uuid4())
+            elif isinstance(item, dict) and _is_message_dict(item):
+                msg = convert_to_messages([item])[0]
+                if msg.id is None:
+                    msg.id = str(uuid4())
+                value[i] = msg

libs/langgraph/langgraph/pregel/_read.py

@@ -138,6 +138,12 @@ class PregelNode:
     metadata: Mapping[str, Any] | None
     """Metadata to attach to the node for tracing."""
 
+    is_error_handler: bool
+    """Whether this node is registered as an error handler node."""
+
+    error_handler_node: str | None
+    """Optional handler node name for failures from this node."""
+
     subgraphs: Sequence[PregelProtocol]
     """Subgraphs used by the node."""
 
@@ -153,6 +159,8 @@ class PregelNode:
         bound: Runnable[Any, Any] | None = None,
         retry_policy: RetryPolicy | Sequence[RetryPolicy] | None = None,
         cache_policy: CachePolicy | None = None,
+        is_error_handler: bool = False,
+        error_handler_node: str | None = None,
         subgraphs: Sequence[PregelProtocol] | None = None,
         timeout: float | timedelta | TimeoutPolicy | None = None,
     ) -> None:
@@ -169,6 +177,8 @@ class PregelNode:
         self.timeout = coerce_timeout_policy(timeout)
         self.tags = tags
         self.metadata = metadata
+        self.is_error_handler = is_error_handler
+        self.error_handler_node = error_handler_node
         if subgraphs is not None:
             self.subgraphs = subgraphs
         elif self.bound is not DEFAULT_BOUND:

libs/langgraph/langgraph/pregel/_remote_run_stream.py

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

libs/langgraph/langgraph/pregel/_retry.py

@@ -37,13 +37,23 @@ from langgraph._internal._constants import (
 )
 from langgraph._internal._runnable import create_task_in_config_context
 from langgraph._internal._timeout import sync_timeout_unsupported
-from langgraph.errors import GraphBubbleUp, NodeTimeoutError, ParentCommand
+from langgraph.errors import (
+    GraphBubbleUp,
+    NodeCancelledError,
+    NodeTimeoutError,
+    ParentCommand,
+)
 from langgraph.pregel.protocol import StreamProtocol
 from langgraph.runtime import ExecutionInfo, Runtime
 from langgraph.types import Command, PregelExecutableTask, RetryPolicy, TimeoutPolicy
 
 logger = logging.getLogger(__name__)
 SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
+# `asyncio.Task.cancelling()` was added in Python 3.11. It reports the number of
+# pending cancel requests on the task: ``0`` means no external code asked us to
+# cancel — so a ``CancelledError`` observed here was raised by the task body
+# itself (the user's node) rather than by pregel cancelling sibling tasks.
+SUPPORTS_TASK_CANCELLING = sys.version_info >= (3, 11)
 
 
 def _timeout_secs(value: float | timedelta) -> float:
@@ -302,6 +312,28 @@ class _IdleProgressCallbackHandler(BaseCallbackHandler):
     on_custom_event = _touch
 
 
+def _is_user_raised_cancelled() -> bool:
+    """Return True if the in-flight ``CancelledError`` came from the task body.
+
+    Pregel cancels sibling tasks via ``task.cancel()`` when a peer fails, which
+    increments ``asyncio.Task.cancelling()`` on the target before the cancel
+    actually fires. A user node that calls ``raise asyncio.CancelledError()``
+    from inside its own body raises while ``cancelling() == 0``, which is the
+    signal we use to convert the exception into a regular
+    :class:`NodeCancelledError`.
+
+    Returns ``False`` when we can't tell (``cancelling()`` unavailable, or no
+    current task — neither should happen in practice from ``arun_with_retry``)
+    so framework-initiated cancellation continues to propagate unchanged.
+    """
+    if not SUPPORTS_TASK_CANCELLING:
+        return False
+    current = asyncio.current_task()
+    if current is None:
+        return False
+    return current.cancelling() == 0
+
+
 def _drain_cancelled(task: asyncio.Task[Any]) -> None:
     # Mark the abandoned task's exception as retrieved so asyncio doesn't log it.
     with suppress(asyncio.CancelledError):
@@ -600,6 +632,12 @@ def run_with_retry(
         except GraphBubbleUp:
             # if interrupted, end
             raise
+        except asyncio.CancelledError as exc:
+            # A sync node has no asyncio context, so any ``CancelledError`` that
+            # reaches here was raised by the node body itself. Surface it as a
+            # regular exception so the pregel runner panics the run instead of
+            # treating the task as a silent tear-down (LSD-1507).
+            raise NodeCancelledError(task.name) from exc
         except Exception as exc:
             if SUPPORTS_EXC_NOTES:
                 exc.add_note(f"During task with name '{task.name}' and id '{task.id}'")
@@ -736,6 +774,24 @@ async def arun_with_retry(
             # if interrupted, end
             _finish_timed_attempt(config, attempt_ctx)
             raise
+        except asyncio.CancelledError as exc:
+            # ``CancelledError`` reaches us in two very different shapes:
+            #   1. Pregel cancelled this task because a sibling failed
+            #      (``asyncio.Task.cancelling() >= 1``). The framework already
+            #      knows the run is failing and we must let cancellation
+            #      propagate so the watchdog/cleanup code in the runner sees a
+            #      cancelled future.
+            #   2. The node body itself raised ``asyncio.CancelledError`` (
+            #      ``cancelling() == 0``). The runner would otherwise treat
+            #      this as silent tear-down and the run would report
+            #      ``success`` even though the node failed (LSD-1507). Convert
+            #      it into :class:`NodeCancelledError` so it follows the same
+            #      path as any other node failure.
+            if _is_user_raised_cancelled():
+                _finish_timed_attempt(config, attempt_ctx, exc)
+                raise NodeCancelledError(task.name) from exc
+            _finish_timed_attempt(config, attempt_ctx, exc)
+            raise
         except Exception as exc:
             _finish_timed_attempt(config, attempt_ctx, exc)
             if SUPPORTS_EXC_NOTES:

libs/langgraph/langgraph/pregel/_runner.py

@@ -10,8 +10,10 @@ from collections.abc import (
     AsyncIterator,
     Awaitable,
     Callable,
+    Collection,
     Iterable,
     Iterator,
+    Mapping,
     Sequence,
 )
 from functools import partial
@@ -29,6 +31,7 @@ from langgraph._internal._constants import (
     CONFIG_KEY_CALL,
     CONFIG_KEY_SCRATCHPAD,
     ERROR,
+    ERROR_SOURCE_NODE,
     INTERRUPT,
     NO_WRITES,
     RESUME,
@@ -72,6 +75,10 @@ SKIP_RERAISE_SET: weakref.WeakSet[concurrent.futures.Future | asyncio.Future] =
 class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
     event: E
     callback: weakref.ref[Callable[[PregelExecutableTask, BaseException | None], None]]
+    # Stop condition is injected by PregelRunner instead of hard-coded here.
+    # This lets the runner treat graph-error-handled exceptions as non-fatal
+    # so `on_done` does not trigger an early stop for those futures.
+    should_stop: Callable[[set[F]], bool]
     counter: int
     done: set[F]
     lock: threading.Lock
@@ -82,6 +89,7 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
         callback: weakref.ref[
             Callable[[PregelExecutableTask, BaseException | None], None]
         ],
+        should_stop: Callable[[set[F]], bool],
         future_type: type[F],
         # used for generic typing, newer py supports FutureDict[...](...)
     ) -> None:
@@ -89,6 +97,7 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
         self.lock = threading.Lock()
         self.event = event
         self.callback = callback
+        self.should_stop = should_stop
         self.counter = 0
         self.done: set[F] = set()
 
@@ -109,6 +118,7 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
         task: PregelExecutableTask,
         fut: F,
     ) -> None:
+        # Called automatically by future.add_done_callback registered in __setitem__.
         try:
             if cb := self.callback():
                 cb(task, _exception(fut))
@@ -116,7 +126,9 @@ class FuturesDict(Generic[F, E], dict[F, PregelExecutableTask | None]):
             with self.lock:
                 self.done.add(fut)
                 self.counter -= 1
-                if self.counter == 0 or _should_stop_others(self.done):
+                # Wake waiter when all tracked futures are done, or when runner-level
+                # stop condition is met (for example, a non-handled fatal exception).
+                if self.counter == 0 or self.should_stop(self.done):
                     self.event.set()
 
 
@@ -132,11 +144,34 @@ class PregelRunner:
         put_writes: weakref.ref[Callable[[str, Sequence[tuple[str, Any]]], None]],
         use_astream: bool = False,
         node_finished: Callable[[str], None] | None = None,
+        node_error_handler_map: Mapping[str, str] | None = None,
+        schedule_error_handler: Callable[
+            [PregelExecutableTask, BaseException], PregelExecutableTask | None
+        ]
+        | None = None,
+        aschedule_error_handler: Callable[
+            [PregelExecutableTask, BaseException],
+            Awaitable[PregelExecutableTask | None],
+        ]
+        | None = None,
     ) -> None:
         self.submit = submit
         self.put_writes = put_writes
         self.use_astream = use_astream
         self.node_finished = node_finished
+        self.node_error_handler_map = dict(node_error_handler_map or {})
+        self.error_handler_nodes = set(self.node_error_handler_map.values())
+        self.schedule_error_handler = schedule_error_handler
+        self.aschedule_error_handler = aschedule_error_handler
+        # Exception object ids that are already routed to graph-level error handler.
+        # These ids are consulted by stop/panic checks to avoid re-raising handled
+        # exceptions via the normal fatal path in the same run.
+        self._handled_exception_ids: set[int] = set()
+
+    def _should_route_to_error_handler(self, task: PregelExecutableTask) -> bool:
+        if task.name in self.error_handler_nodes:
+            return False
+        return task.name in self.node_error_handler_map
 
     def tick(
         self,
@@ -155,6 +190,9 @@ class PregelRunner:
         futures = FuturesDict(
             callback=weakref.WeakMethod(self.commit),
             event=threading.Event(),
+            should_stop=partial(
+                _should_stop_others, handled_exception_ids=self._handled_exception_ids
+            ),
             future_type=concurrent.futures.Future,
         )
         # give control back to the caller
@@ -164,6 +202,7 @@ class PregelRunner:
             return
         elif len(tasks) == 1 and timeout is None and get_waiter is None:
             t = tasks[0]
+            scheduled_error_handler = False
             try:
                 run_with_retry(
                     t,
@@ -182,12 +221,23 @@ class PregelRunner:
                 self.commit(t, None)
             except Exception as exc:
                 self.commit(t, exc)
+                if (
+                    not isinstance(exc, GraphBubbleUp)
+                    and self._should_route_to_error_handler(t)
+                    and self.schedule_error_handler is not None
+                ):
+                    self._handled_exception_ids.add(id(exc))
+                    if handler_task := self.schedule_error_handler(t, exc):
+                        tasks = (handler_task,)
+                        scheduled_error_handler = True
+                        # Continue to the regular scheduling path for handler execution.
                 if reraise and futures:
-                    # will be re-raised after futures are done
-                    fut: concurrent.futures.Future = concurrent.futures.Future()
-                    fut.set_exception(exc)
-                    futures.done.add(fut)
-                elif reraise:
+                    if id(exc) not in self._handled_exception_ids:
+                        # will be re-raised after futures are done
+                        fut: concurrent.futures.Future = concurrent.futures.Future()
+                        fut.set_exception(exc)
+                        futures.done.add(fut)
+                elif reraise and id(exc) not in self._handled_exception_ids:
                     if tb := exc.__traceback__:
                         while tb.tb_next is not None and any(
                             tb.tb_frame.f_code.co_filename.endswith(name)
@@ -196,10 +246,12 @@ class PregelRunner:
                             tb = tb.tb_next
                         exc.__traceback__ = tb
                     raise
-            if not futures:  # maybe `t` scheduled another task
+            if not futures and not scheduled_error_handler:
+                # maybe `t` scheduled another task
                 return
             else:
-                tasks = ()  # don't reschedule this task
+                if not scheduled_error_handler:
+                    tasks = ()  # don't reschedule this task
         # add waiter task if requested
         if get_waiter is not None:
             futures[get_waiter()] = None
@@ -226,6 +278,7 @@ class PregelRunner:
         # each task is independent from all other concurrent tasks
         # yield updates/debug output as each task finishes
         end_time = timeout + time.monotonic() if timeout else None
+        handled_futures: set[concurrent.futures.Future[Any]] = set()
         while len(futures) > (1 if get_waiter is not None else 0):
             done, inflight = concurrent.futures.wait(
                 futures,
@@ -234,17 +287,49 @@ class PregelRunner:
             )
             if not done:
                 break  # timed out
+            done_for_stop: set[concurrent.futures.Future[Any]] = set()
             for fut in done:
                 task = futures.pop(fut)
                 if task is None:
                     # waiter task finished, schedule another
                     if inflight and get_waiter is not None:
                         futures[get_waiter()] = None
+                elif (
+                    (task_exc := _exception(fut))
+                    and self._should_route_to_error_handler(task)
+                    and not isinstance(task_exc, GraphBubbleUp)
+                ):
+                    self._handled_exception_ids.add(id(task_exc))
+                    SKIP_RERAISE_SET.add(fut)
+                    handled_futures.add(fut)
+                    if self.schedule_error_handler is not None:
+                        if handler_task := self.schedule_error_handler(task, task_exc):
+                            handler_fut = self.submit()(  # type: ignore[misc]
+                                run_with_retry,
+                                handler_task,
+                                retry_policy,
+                                configurable={
+                                    CONFIG_KEY_CALL: partial(
+                                        _call,
+                                        weakref.ref(handler_task),
+                                        retry_policy=retry_policy,
+                                        futures=weakref.ref(futures),
+                                        schedule_task=schedule_task,
+                                        submit=self.submit,
+                                    ),
+                                },
+                                __reraise_on_exit__=reraise,
+                            )
+                            futures[handler_fut] = handler_task
+                else:
+                    done_for_stop.add(fut)
             else:
                 # remove references to loop vars
                 del fut, task
             # maybe stop other tasks
-            if _should_stop_others(done):
+            if _should_stop_others(
+                done_for_stop, handled_exception_ids=self._handled_exception_ids
+            ):
                 break
             # give control back to the caller
             yield
@@ -259,6 +344,8 @@ class PregelRunner:
             _panic_or_proceed(
                 futures.done.union(f for f, t in futures.items() if t is not None),
                 panic=reraise,
+                handled_exception_ids=self._handled_exception_ids,
+                handled_futures=handled_futures,
             )
         except Exception as exc:
             if tb := exc.__traceback__:
@@ -292,6 +379,9 @@ class PregelRunner:
         futures = FuturesDict(
             callback=weakref.WeakMethod(self.commit),
             event=asyncio.Event(),
+            should_stop=partial(
+                _should_stop_others, handled_exception_ids=self._handled_exception_ids
+            ),
             future_type=asyncio.Future,
         )
         # give control back to the caller
@@ -301,6 +391,7 @@ class PregelRunner:
             return
         elif len(tasks) == 1 and get_waiter is None and timeout is None:
             t = tasks[0]
+            scheduled_error_handler = False
             try:
                 await arun_with_retry(
                     t,
@@ -322,12 +413,22 @@ class PregelRunner:
                 self.commit(t, None)
             except Exception as exc:
                 self.commit(t, exc)
+                if (
+                    not isinstance(exc, GraphBubbleUp)
+                    and self._should_route_to_error_handler(t)
+                    and self.aschedule_error_handler is not None
+                ):
+                    self._handled_exception_ids.add(id(exc))
+                    if handler_task := await self.aschedule_error_handler(t, exc):
+                        tasks = (handler_task,)
+                        scheduled_error_handler = True
                 if reraise and futures:
-                    # will be re-raised after futures are done
-                    fut: asyncio.Future = loop.create_future()
-                    fut.set_exception(exc)
-                    futures.done.add(fut)
-                elif reraise:
+                    if id(exc) not in self._handled_exception_ids:
+                        # will be re-raised after futures are done
+                        fut: asyncio.Future = loop.create_future()
+                        fut.set_exception(exc)
+                        futures.done.add(fut)
+                elif reraise and id(exc) not in self._handled_exception_ids:
                     if tb := exc.__traceback__:
                         while tb.tb_next is not None and any(
                             tb.tb_frame.f_code.co_filename.endswith(name)
@@ -336,10 +437,12 @@ class PregelRunner:
                             tb = tb.tb_next
                         exc.__traceback__ = tb
                     raise
-            if not futures:  # maybe `t` scheduled another task
+            if not futures and not scheduled_error_handler:
+                # maybe `t` scheduled another task
                 return
             else:
-                tasks = ()  # don't reschedule this task
+                if not scheduled_error_handler:
+                    tasks = ()  # don't reschedule this task
         # add waiter task if requested
         if get_waiter is not None:
             futures[get_waiter()] = None
@@ -374,6 +477,7 @@ class PregelRunner:
         # each task is independent from all other concurrent tasks
         # yield updates/debug output as each task finishes
         end_time = timeout + loop.time() if timeout else None
+        handled_futures: set[asyncio.Future[Any]] = set()
         while len(futures) > (1 if get_waiter is not None else 0):
             done, inflight = await asyncio.wait(
                 futures,
@@ -382,17 +486,59 @@ class PregelRunner:
             )
             if not done:
                 break  # timed out
+            done_for_stop: set[asyncio.Future[Any]] = set()
             for fut in done:
                 task = futures.pop(fut)
                 if task is None:
                     # waiter task finished, schedule another
                     if inflight and get_waiter is not None:
                         futures[get_waiter()] = None
+                elif (
+                    (task_exc := _exception(fut))
+                    and self._should_route_to_error_handler(task)
+                    and not isinstance(task_exc, GraphBubbleUp)
+                ):
+                    self._handled_exception_ids.add(id(task_exc))
+                    SKIP_RERAISE_SET.add(fut)
+                    handled_futures.add(fut)
+                    if self.aschedule_error_handler is not None:
+                        if handler_task := await self.aschedule_error_handler(
+                            task, task_exc
+                        ):
+                            handler_fut = cast(
+                                asyncio.Future,
+                                self.submit()(  # type: ignore[misc]
+                                    arun_with_retry,
+                                    handler_task,
+                                    retry_policy,
+                                    stream=self.use_astream,
+                                    configurable={
+                                        CONFIG_KEY_CALL: partial(
+                                            _acall,
+                                            weakref.ref(handler_task),
+                                            retry_policy=retry_policy,
+                                            stream=self.use_astream,
+                                            futures=weakref.ref(futures),
+                                            schedule_task=schedule_task,
+                                            submit=self.submit,
+                                            loop=loop,
+                                        ),
+                                    },
+                                    __name__=handler_task.name,
+                                    __cancel_on_exit__=True,
+                                    __reraise_on_exit__=reraise,
+                                ),
+                            )
+                            futures[handler_fut] = handler_task
+                else:
+                    done_for_stop.add(fut)
             else:
                 # remove references to loop vars
                 del fut, task
             # maybe stop other tasks
-            if _should_stop_others(done):
+            if _should_stop_others(
+                done_for_stop, handled_exception_ids=self._handled_exception_ids
+            ):
                 break
             # give control back to the caller
             yield
@@ -412,6 +558,8 @@ class PregelRunner:
                 futures.done.union(f for f, t in futures.items() if t is not None),
                 timeout_exc_cls=asyncio.TimeoutError,
                 panic=reraise,
+                handled_exception_ids=self._handled_exception_ids,
+                handled_futures=handled_futures,
             )
         except Exception as exc:
             if tb := exc.__traceback__:
@@ -447,6 +595,11 @@ class PregelRunner:
             else:
                 # save error to checkpointer
                 task.writes.append((ERROR, exception))
+                if self._should_route_to_error_handler(task) and not isinstance(
+                    exception, GraphBubbleUp
+                ):
+                    task.writes.append((ERROR_SOURCE_NODE, task.name))
+                    self._handled_exception_ids.add(id(exception))
                 self.put_writes()(task.id, task.writes)  # type: ignore[misc]
         else:
             if self.node_finished and (
@@ -462,6 +615,8 @@ class PregelRunner:
 
 def _should_stop_others(
     done: set[F],
+    *,
+    handled_exception_ids: set[int] | None = None,
 ) -> bool:
     """Check if any task failed, if so, cancel all other tasks.
     GraphInterrupts are not considered failures."""
@@ -469,7 +624,11 @@ def _should_stop_others(
         if fut.cancelled():
             continue
         elif exc := fut.exception():
-            if not isinstance(exc, GraphBubbleUp) and fut not in SKIP_RERAISE_SET:
+            if (
+                id(exc) not in (handled_exception_ids or set())
+                and not isinstance(exc, GraphBubbleUp)
+                and fut not in SKIP_RERAISE_SET
+            ):
                 return True
 
     return False
@@ -493,6 +652,9 @@ def _panic_or_proceed(
     *,
     timeout_exc_cls: type[Exception] = TimeoutError,
     panic: bool = True,
+    handled_exception_ids: set[int] | None = None,
+    handled_futures: Collection[concurrent.futures.Future[Any] | asyncio.Future[Any]]
+    | None = None,
 ) -> None:
     """Cancel remaining tasks if any failed, re-raise exception if panic is True."""
     done: set[concurrent.futures.Future[Any] | asyncio.Future[Any]] = set()
@@ -509,6 +671,10 @@ def _panic_or_proceed(
         # if any task failed
         fut = done.pop()
         if exc := _exception(fut):
+            if fut in (handled_futures or set()):
+                continue
+            if id(exc) in (handled_exception_ids or set()):
+                continue
             # cancel all pending tasks
             while inflight:
                 inflight.pop().cancel()

libs/langgraph/langgraph/pregel/debug.py

@@ -6,9 +6,13 @@ from typing import Any
 from uuid import UUID
 
 from langchain_core.runnables import RunnableConfig
-from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite
+from langgraph.checkpoint.base import (
+    EXCLUDED_METADATA_KEYS,
+    CheckpointMetadata,
+    PendingWrite,
+)
 
-from langgraph._internal._config import patch_checkpoint_map
+from langgraph._internal._config import filter_to_user_tags, patch_checkpoint_map
 from langgraph._internal._constants import (
     CONF,
     CONFIG_KEY_CHECKPOINT_NS,
@@ -40,12 +44,31 @@ def map_debug_tasks(tasks: Iterable[PregelExecutableTask]) -> Iterator[TaskPaylo
         if task.config is not None and TAG_HIDDEN in task.config.get("tags", []):
             continue
 
-        yield {
+        payload: TaskPayload = {
             "id": task.id,
             "name": task.name,
             "input": task.input,
             "triggers": task.triggers,
         }
+        # Forward user-meaningful metadata only — drop langgraph's internal
+        # framework keys (langgraph_node/step/triggers/path/checkpoint_ns,
+        # thread_id, ...), which are redundant with the task's own fields and
+        # namespace. Keys like `lc_agent_name`, `ls_integration`, and any
+        # user-supplied metadata ride along. Filtered config tags are folded in
+        # under `tags`, mirroring the messages stream handler. (The comprehension
+        # also yields a fresh dict, so mutating `md` doesn't touch task.config.)
+        if task.config is not None:
+            md = {
+                k: v
+                for k, v in (task.config.get("metadata") or {}).items()
+                if k not in EXCLUDED_METADATA_KEYS
+            }
+            filtered_tags = filter_to_user_tags(task.config.get("tags"))
+            if filtered_tags is not None:
+                md["tags"] = filtered_tags
+            if md:
+                payload["metadata"] = md
+        yield payload
 
 
 def is_multiple_channel_write(value: Any) -> bool:

libs/langgraph/langgraph/pregel/main.py

@@ -30,6 +30,7 @@ from typing import (
 )
 from uuid import UUID, uuid5
 
+from langchain_core._api import beta
 from langchain_core.globals import get_debug
 from langchain_core.runnables import (
     RunnableSequence,
@@ -41,6 +42,7 @@ from langchain_core.runnables.config import (
     get_callback_manager_for_config,
 )
 from langchain_core.runnables.graph import Graph
+from langchain_core.runnables.schema import StreamEvent
 from langgraph.cache.base import BaseCache
 from langgraph.checkpoint.base import (
     BaseCheckpointSaver,
@@ -111,6 +113,7 @@ from langgraph.config import get_config
 from langgraph.constants import END
 from langgraph.errors import (
     ErrorCode,
+    GraphDrained,
     GraphRecursionError,
     InvalidUpdateError,
     create_error_message,
@@ -156,6 +159,7 @@ from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtoco
 from langgraph.runtime import (
     DEFAULT_RUNTIME,
     BaseUser,
+    RunControl,
     Runtime,
     ServerInfo,
 )
@@ -370,11 +374,30 @@ class NodeBuilder:
         )
 
 
+# Kwargs that ``stream_events(version="v3")`` / ``astream_events(version="v3")``
+# manage internally and must not be overridden by callers. ``stream_mode`` is
+# derived from the transformer mux; ``subgraphs`` is forced True so nested
+# namespaces flow through scoped muxes. Forwarding either to the inner
+# ``stream(...)`` would silently break v3's invariants, so we raise instead.
+_V3_INVARIANT_KWARGS: tuple[str, ...] = ("stream_mode", "subgraphs")
+
+
+def _reject_v3_invariant_kwargs(kwargs: dict[str, Any]) -> None:
+    collisions = [k for k in _V3_INVARIANT_KWARGS if k in kwargs]
+    if collisions:
+        raise TypeError(
+            "stream_events(version='v3') / astream_events(version='v3') do "
+            f"not accept {', '.join(collisions)}; v3 owns these "
+            "(stream_mode is built from the transformer mux, subgraphs is "
+            "forced True so nested namespaces flow through scoped muxes)."
+        )
+
+
 def _collect_stream_modes(mux: Any) -> list[StreamMode]:
     """Return the union of `required_stream_modes` across registered transformers.
 
     Transformers declare the stream modes they need to function, and
-    `stream_v2` asks the graph for exactly that union — no hardcoded
+    `stream_events(version="v3")` asks the graph for exactly that union — no hardcoded
     default set. If zero transformers declare a given mode, the graph
     does not stream events for it.
     """
@@ -404,14 +427,14 @@ def _normalize_stream_transformer_factories(
     for spec in specs or ():
         if isinstance(spec, StreamTransformer):
             raise TypeError(
-                "stream_v2 transformers must be scope-aware callables, "
+                "stream_events(version='v3') transformers must be scope-aware callables, "
                 f"got pre-built instance {type(spec).__name__}. Pass the "
                 "transformer class or a factory like "
                 "`lambda scope: MyTransformer(scope, ...)`."
             )
         if not callable(spec):
             raise TypeError(
-                "stream_v2 transformers must be scope-aware callables, "
+                "stream_events(version='v3') transformers must be scope-aware callables, "
                 f"got {type(spec).__name__}."
             )
 
@@ -728,6 +751,7 @@ class Pregel(
     name: str = "LangGraph"
 
     trigger_to_nodes: Mapping[str, Sequence[str]]
+    node_error_handler_map: Mapping[str, str]
 
     def __init__(
         self,
@@ -752,6 +776,7 @@ class Pregel(
         context_schema: type[ContextT] | None = None,
         config: RunnableConfig | None = None,
         trigger_to_nodes: Mapping[str, Sequence[str]] | None = None,
+        node_error_handler_map: Mapping[str, str] | None = None,
         name: str = "LangGraph",
         stream_transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
         **deprecated_kwargs: Unpack[DeprecatedKwargs],
@@ -799,6 +824,7 @@ class Pregel(
         self.context_schema = context_schema
         self.config = config
         self.trigger_to_nodes = trigger_to_nodes or {}
+        self.node_error_handler_map = node_error_handler_map or {}
         self.name = name
         self.stream_transformers: tuple[Callable[[tuple[str, ...]], Any], ...] = tuple(
             stream_transformers or ()
@@ -2570,6 +2596,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
         version: Literal["v2"],
@@ -2589,6 +2616,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
         version: Literal["v1"] = ...,
@@ -2607,6 +2635,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
         version: Literal["v1", "v2"] = "v1",
@@ -2651,6 +2680,7 @@ class Pregel(
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
+            control: Optional run control used to request cooperative drain.
             subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
 
                 If `True`, the events will be emitted as tuples `(namespace, data)`,
@@ -2815,6 +2845,7 @@ class Pregel(
                 previous=None,
                 execution_info=None,
                 server_info=server_info,
+                control=control or parent_runtime.control or RunControl(),
             )
             runtime = parent_runtime.merge(runtime)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
@@ -2864,6 +2895,8 @@ class Pregel(
                     ),
                     put_writes=weakref.WeakMethod(loop.put_writes),
                     node_finished=config[CONF].get(CONFIG_KEY_NODE_FINISHED),
+                    node_error_handler_map=self.node_error_handler_map,
+                    schedule_error_handler=loop.schedule_error_handler,
                 )
                 # enable subgraph streaming
                 if subgraphs:
@@ -2945,6 +2978,10 @@ class Pregel(
                     error_code=ErrorCode.GRAPH_RECURSION_LIMIT,
                 )
                 raise GraphRecursionError(msg)
+            elif loop.status == "draining":
+                if loop.control is None:
+                    raise RuntimeError("Draining status requires run control")
+                raise GraphDrained(loop.control.drain_reason or "shutdown")
             # set final channel values as run output
             run_manager.on_chain_end(loop.output)
         except BaseException as e:
@@ -2965,6 +3002,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
         version: Literal["v2"],
@@ -2984,6 +3022,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
         version: Literal["v1"] = ...,
@@ -3002,6 +3041,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         subgraphs: bool = False,
         debug: bool | None = None,
         version: Literal["v1", "v2"] = "v1",
@@ -3046,6 +3086,7 @@ class Pregel(
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
+            control: Optional run control used to request cooperative drain.
             subgraphs: Whether to stream events from inside subgraphs, defaults to `False`.
 
                 If `True`, the events will be emitted as tuples `(namespace, data)`,
@@ -3245,6 +3286,7 @@ class Pregel(
                 previous=None,
                 execution_info=None,
                 server_info=server_info,
+                control=control or parent_runtime.control or RunControl(),
             )
             runtime = parent_runtime.merge(runtime)
             config[CONF][CONFIG_KEY_RUNTIME] = runtime
@@ -3306,6 +3348,8 @@ class Pregel(
                     put_writes=weakref.WeakMethod(loop.put_writes),
                     use_astream=do_stream,
                     node_finished=config[CONF].get(CONFIG_KEY_NODE_FINISHED),
+                    node_error_handler_map=self.node_error_handler_map,
+                    aschedule_error_handler=loop.aschedule_error_handler,
                 )
                 # enable subgraph streaming
                 if subgraphs:
@@ -3413,6 +3457,10 @@ class Pregel(
                     error_code=ErrorCode.GRAPH_RECURSION_LIMIT,
                 )
                 raise GraphRecursionError(msg)
+            elif loop.status == "draining":
+                if loop.control is None:
+                    raise RuntimeError("Draining status requires run control")
+                raise GraphDrained(loop.control.drain_reason or "shutdown")
             # set final channel values as run output
             await run_manager.on_chain_end(loop.output)
         except BaseException as e:
@@ -3420,49 +3468,29 @@ class Pregel(
                 await asyncio.shield(run_manager.on_chain_error(e))
             raise
 
-    def stream_v2(
+    @beta(message="The v3 streaming protocol on Pregel is experimental.")
+    def _pregel_stream_v3(
         self,
         input: InputT | Command | None,
         config: RunnableConfig | None = None,
         *,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
+        control: RunControl | None = None,
         transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
+        **kwargs: Any,
     ) -> Any:
-        """Start a sync v2 streaming run driven by transformer projections.
+        """Internal v3 sync streaming implementation. Public entry: stream_events(version='v3').
 
-        Builds a `StreamMux` from the built-in transformers, this
-        graph's compile-time `stream_transformers`, and any additional
-        `transformers=` supplied at the call site. Returns a
-        `GraphRunStream` that the caller drives by iterating any
-        projection — no background thread.
+        Extra keyword arguments are forwarded to the underlying ``stream(...)``
+        call. The dispatcher in ``stream_events`` rejects ``stream_mode`` and
+        ``subgraphs`` since v3 owns them (``stream_mode`` is derived from the
+        transformer mux; ``subgraphs`` is always True so nested namespaces
+        flow through scoped muxes).
 
-        `run.output`, `run.interrupted` and `run.interrupts` work
-        regardless of which transformers are registered.
+        !!! warning
 
-        Note:
-            Nesting v1 `stream(stream_mode="messages")` inside a node
-            of a `stream_v2` run is not fully supported. The outer v2
-            messages handler reroutes `BaseChatModel.invoke` through
-            the v2 event protocol, so the inner v1 handler does not see
-            `on_llm_new_token` chunks. The inner stream still yields a
-            finalized message via `on_llm_end`. Use `stream_v2` for
-            the inner graph as well, or call
-            `chat_model.stream(...)` explicitly, to get token-level
-            streaming.
-
-        Args:
-            input: Graph input.
-            config: Optional runnable config forwarded to the graph.
-            interrupt_before: Nodes to interrupt before, if any.
-            interrupt_after: Nodes to interrupt after, if any.
-            transformers: Extra transformer classes or configured factories
-                appended after compile-time `stream_transformers`. Factories
-                are called as `factory(scope)` so they can propagate to
-                subgraph scopes.
-
-        Returns:
-            A `GraphRunStream` the caller iterates to drive the run.
+            The v3 streaming protocol is experimental and may change.
         """
         parent_ns = _resolve_parent_ns(self.config, config)
         compiled_factories = _normalize_stream_transformer_factories(
@@ -3490,43 +3518,35 @@ class Pregel(
                 version="v2",
                 interrupt_before=interrupt_before,
                 interrupt_after=interrupt_after,
+                control=control,
+                **kwargs,
             )
         )
         return GraphRunStream(graph_iter, mux)
 
-    async def astream_v2(
+    @beta(message="The v3 streaming protocol on Pregel is experimental.")
+    async def _apregel_stream_v3(
         self,
         input: InputT | Command | None,
         config: RunnableConfig | None = None,
         *,
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
+        control: RunControl | None = None,
         transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
+        **kwargs: Any,
     ) -> Any:
-        """Async counterpart to `stream_v2`.
+        """Internal v3 async streaming implementation. Public entry: astream_events(version='v3').
 
-        Returns an `AsyncGraphRunStream` whose projections can be awaited
-        concurrently; each subscribed cursor drives the pump when its
-        buffer is empty.
+        Extra keyword arguments are forwarded to the underlying ``astream(...)``
+        call. The dispatcher in ``astream_events`` rejects ``stream_mode`` and
+        ``subgraphs`` since v3 owns them (``stream_mode`` is derived from the
+        transformer mux; ``subgraphs`` is always True so nested namespaces
+        flow through scoped muxes).
 
-        Note:
-            Same nesting limitation as `stream_v2`: nesting v1
-            `astream(stream_mode="messages")` inside a node of an
-            `astream_v2` run drops `on_llm_new_token` chunks because
-            the outer v2 handler reroutes `BaseChatModel.invoke`
-            through the v2 event protocol. Use `astream_v2` for the
-            inner graph as well, or call `chat_model.astream(...)`
-            explicitly, to get token-level streaming.
+        !!! warning
 
-        Args:
-            input: Graph input.
-            config: Optional runnable config forwarded to the graph.
-            interrupt_before: Nodes to interrupt before, if any.
-            interrupt_after: Nodes to interrupt after, if any.
-            transformers: Extra transformer classes or configured factories
-                appended after compile-time `stream_transformers`. Factories
-                are called as `factory(scope)` so they can propagate to
-                subgraph scopes.
+            The v3 streaming protocol is experimental and may change.
         """
         parent_ns = _resolve_parent_ns(self.config, config)
         compiled_factories = _normalize_stream_transformer_factories(
@@ -3553,9 +3573,179 @@ class Pregel(
             version="v2",
             interrupt_before=interrupt_before,
             interrupt_after=interrupt_after,
+            control=control,
+            **kwargs,
         ).__aiter__()
         return AsyncGraphRunStream(graph_aiter, mux)
 
+    @overload
+    def stream_events(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        version: Literal["v1", "v2"] = "v2",
+        **kwargs: Any,
+    ) -> Iterator[StreamEvent]: ...
+
+    @overload
+    def stream_events(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        version: Literal["v3"],
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        control: RunControl | None = None,
+        transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
+        **kwargs: Any,
+    ) -> Any: ...
+
+    def stream_events(
+        self,
+        input: InputT | Command | None,
+        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: RunControl | None = None,
+        transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        """Stream events from this graph.
+
+        For `version="v1"` / `"v2"`, yields `StreamEvent` dicts (see
+        `Runnable.stream_events`). For `version="v3"`, returns a
+        `GraphRunStream` whose typed projections the caller drives by
+        iterating — no background thread.
+
+        !!! warning
+
+            The `version="v3"` API is experimental and may change.
+
+        Builds a `StreamMux` from the built-in transformers, this
+        graph's compile-time `stream_transformers`, and any additional
+        `transformers=` supplied at the call site. `run.output`,
+        `run.interrupted`, and `run.interrupts` work regardless of
+        which transformers are registered.
+
+        Note:
+            Nesting v1 `stream(stream_mode="messages")` inside a node
+            of a `stream_events(version="v3")` run is not fully
+            supported. The outer v3 messages handler reroutes
+            `BaseChatModel.invoke` through the v2 event protocol, so
+            the inner v1 handler does not see `on_llm_new_token`
+            chunks. The inner stream still yields a finalized message
+            via `on_llm_end`. Use `stream_events(version="v3")` for the
+            inner graph as well, or call `chat_model.stream(...)`
+            explicitly, to get token-level streaming.
+
+        Args:
+            input: Graph input.
+            config: Optional runnable config.
+            version: Streaming-event schema version. `"v3"` selects the
+                content-block-centric streaming protocol.
+            interrupt_before: Nodes to interrupt before, if any. Only
+                used for `version="v3"`.
+            interrupt_after: Nodes to interrupt after, if any. Only
+                used for `version="v3"`.
+            control: Optional run control used to request cooperative
+                drain. Only used for `version="v3"`.
+            transformers: Extra transformer classes or configured
+                factories appended after compile-time
+                `stream_transformers`. Factories are called as
+                `factory(scope)` so they can propagate to subgraph
+                scopes. Only used for `version="v3"`.
+            **kwargs: For `version="v1"`/`"v2"`, forwarded to
+                `Runnable.stream_events`. For `version="v3"`, forwarded
+                to the underlying `stream(...)` call (e.g. `context`,
+                `durability`, `output_keys`, `print_mode`, `debug`).
+                `stream_mode` and `subgraphs` are not accepted under
+                `version="v3"` and raise `TypeError` if supplied; v3
+                owns them.
+
+        Returns:
+            For `version="v3"`, a `GraphRunStream` the caller iterates
+            to drive the run. Otherwise an `Iterator[StreamEvent]`.
+        """
+        if version == "v3":
+            _reject_v3_invariant_kwargs(kwargs)
+            return self._pregel_stream_v3(
+                input,
+                config,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                control=control,
+                transformers=transformers,
+                **kwargs,
+            )
+        return super().stream_events(input, config, version=version, **kwargs)
+
+    @overload
+    def astream_events(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        version: Literal["v1", "v2"] = "v2",
+        **kwargs: Any,
+    ) -> AsyncIterator[StreamEvent]: ...
+
+    @overload
+    def astream_events(
+        self,
+        input: InputT | Command | None,
+        config: RunnableConfig | None = None,
+        *,
+        version: Literal["v3"],
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        control: RunControl | None = None,
+        transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
+        **kwargs: Any,
+    ) -> Awaitable[Any]: ...
+
+    def astream_events(
+        self,
+        input: InputT | Command | None,
+        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: RunControl | None = None,
+        transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
+        **kwargs: Any,
+    ) -> AsyncIterator[StreamEvent] | Awaitable[Any]:
+        """Async variant of `stream_events`.
+
+        For `version="v3"`, returns an `AsyncGraphRunStream` whose
+        projections can be awaited concurrently; each subscribed cursor
+        drives the pump when its buffer is empty. The same nesting
+        limitation as the sync path applies — see `stream_events` for
+        details.
+
+        !!! warning
+
+            The `version="v3"` API is experimental and may change.
+
+        See `stream_events` for full argument and return documentation.
+        """
+        if version == "v3":
+            _reject_v3_invariant_kwargs(kwargs)
+            return self._apregel_stream_v3(
+                input,
+                config,
+                interrupt_before=interrupt_before,
+                interrupt_after=interrupt_after,
+                control=control,
+                transformers=transformers,
+                **kwargs,
+            )
+        return super().astream_events(input, config, version=version, **kwargs)
+
     @overload
     def invoke(
         self,
@@ -3569,6 +3759,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v2"],
         **kwargs: Any,
     ) -> GraphOutput[OutputT]: ...
@@ -3586,6 +3777,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v2"],
         **kwargs: Any,
     ) -> list[StreamPart[StateT, OutputT]]: ...
@@ -3603,6 +3795,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v1"] = ...,
         **kwargs: Any,
     ) -> dict[str, Any] | Any: ...
@@ -3619,6 +3812,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
@@ -3643,6 +3837,7 @@ class Pregel(
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
+            control: Optional run control used to request cooperative drain.
             version: The streaming format version. `"v1"` (default) returns the
                 traditional format, `"v2"` returns `StreamPart` typed dicts when
                 `stream_mode` is not `"values"`.
@@ -3670,6 +3865,7 @@ class Pregel(
                 interrupt_before=interrupt_before,
                 interrupt_after=interrupt_after,
                 durability=durability,
+                control=control,
                 version=version,
                 **kwargs,
             ):
@@ -3693,6 +3889,7 @@ class Pregel(
                 interrupt_before=interrupt_before,
                 interrupt_after=interrupt_after,
                 durability=durability,
+                control=control,
                 **kwargs,
             ):
                 if stream_mode == "values":
@@ -3739,6 +3936,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v2"],
         **kwargs: Any,
     ) -> GraphOutput[OutputT]: ...
@@ -3756,6 +3954,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v2"],
         **kwargs: Any,
     ) -> list[StreamPart[StateT, OutputT]]: ...
@@ -3773,6 +3972,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v1"] = ...,
         **kwargs: Any,
     ) -> dict[str, Any] | Any: ...
@@ -3789,6 +3989,7 @@ class Pregel(
         interrupt_before: All | Sequence[str] | None = None,
         interrupt_after: All | Sequence[str] | None = None,
         durability: Durability | None = None,
+        control: RunControl | None = None,
         version: Literal["v1", "v2"] = "v1",
         **kwargs: Any,
     ) -> dict[str, Any] | Any:
@@ -3813,6 +4014,7 @@ class Pregel(
                 - `"sync"`: Changes are persisted synchronously before the next step starts.
                 - `"async"`: Changes are persisted asynchronously while the next step executes.
                 - `"exit"`: Changes are persisted only when the graph exits.
+            control: Optional run control used to request cooperative drain.
             version: The streaming format version. `"v1"` (default) returns the
                 traditional format, `"v2"` returns `StreamPart` typed dicts when
                 `stream_mode` is not `"values"`.
@@ -3840,6 +4042,7 @@ class Pregel(
                 interrupt_before=interrupt_before,
                 interrupt_after=interrupt_after,
                 durability=durability,
+                control=control,
                 version=version,
                 **kwargs,
             ):
@@ -3863,6 +4066,7 @@ class Pregel(
                 interrupt_before=interrupt_before,
                 interrupt_after=interrupt_after,
                 durability=durability,
+                control=control,
                 **kwargs,
             ):
                 if stream_mode == "values":
@@ -4036,7 +4240,7 @@ def _resolve_parent_ns(
 ) -> tuple[str, ...]:
     """Return the checkpoint namespace the caller is running under.
 
-    `stream_v2` uses this to scope its native projections
+    `stream_events(version="v3")` uses this to scope its native projections
     (`ValuesTransformer`, `MessagesTransformer`) to events emitted at
     the run's own level. A root call resolves to `()`; a call made
     from inside a node carries the outer graph's task namespace so the

libs/langgraph/langgraph/pregel/remote.py

@@ -55,6 +55,10 @@ from langgraph._internal._constants import (
     NS_SEP,
 )
 from langgraph.errors import GraphInterrupt, ParentCommand
+from langgraph.pregel._remote_run_stream import (
+    _AsyncRemoteGraphRunStream,
+    _RemoteGraphRunStream,
+)
 from langgraph.pregel.protocol import PregelProtocol, StreamProtocol
 from langgraph.types import (
     All,
@@ -80,6 +84,8 @@ _CONF_DROPLIST = frozenset(
     ),
 )
 
+_V3_SUPPORTED_KWARGS = frozenset({"metadata", "headers"})
+
 
 def _sanitize_config_value(v: Any) -> Any:
     """Recursively sanitize a config value to ensure it contains only primitives."""
@@ -186,6 +192,34 @@ class RemoteGraph(PregelProtocol):
             )
         return self.sync_client
 
+    def _reject_v3_unsupported(
+        self,
+        *,
+        control: Any,
+        transformers: Any,
+        interrupt_before: Any,
+        interrupt_after: Any,
+        extra_kwargs: dict[str, Any],
+    ) -> None:
+        """Raise NotImplementedError for kwargs unsupported by the v3 streaming path."""
+        for name, value in (
+            ("control", control),
+            ("transformers", transformers),
+            ("interrupt_before", interrupt_before),
+            ("interrupt_after", interrupt_after),
+        ):
+            if value:
+                raise NotImplementedError(
+                    f"RemoteGraph.stream_events(version='v3') does not support `{name}=`."
+                )
+        unknown = set(extra_kwargs) - _V3_SUPPORTED_KWARGS
+        if unknown:
+            raise NotImplementedError(
+                f"RemoteGraph.stream_events(version='v3') does not support "
+                f"the following kwargs: {sorted(unknown)!r}. "
+                f"Supported: {sorted(_V3_SUPPORTED_KWARGS)!r}."
+            )
+
     def copy(self, update: dict[str, Any]) -> Self:
         attrs = {**self.__dict__, **update}
         return self.__class__(attrs.pop("assistant_id"), **attrs)
@@ -996,21 +1030,104 @@ class RemoteGraph(PregelProtocol):
             else:
                 yield chunk
 
+    def stream_events(
+        self,
+        input: Any,
+        config: RunnableConfig | None = None,
+        *,
+        version: Literal["v1", "v2", "v3"] = "v2",
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        control: Any = None,
+        transformers: Sequence[Any] | None = None,
+        headers: dict[str, str] | None = None,
+        **kwargs: Any,
+    ) -> Any:
+        """Stream events from this remote graph.
+
+        For `version="v3"`, returns a `_RemoteGraphRunStream` whose surface
+        matches the local `GraphRunStream`. For other versions, delegates to
+        `Runnable.stream_events`.
+        """
+        if version != "v3":
+            return super().stream_events(input, config, version=version, **kwargs)
+        self._reject_v3_unsupported(
+            control=control,
+            transformers=transformers,
+            interrupt_before=interrupt_before,
+            interrupt_after=interrupt_after,
+            extra_kwargs=kwargs,
+        )
+        sync_client = self._validate_sync_client()
+        sanitized = self._sanitize_config(merge_configs(self.config, config))
+        thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
+        merged_headers = (
+            _merge_tracing_headers(headers) if self.distributed_tracing else headers
+        )
+        sdk_thread = sync_client.threads.stream(
+            thread_id=thread_id,
+            assistant_id=self.assistant_id,
+            headers=merged_headers,
+        )
+        return _RemoteGraphRunStream(
+            sync_client=sync_client,
+            sdk_thread=sdk_thread,
+            input=input,
+            config=sanitized,
+            metadata=kwargs.get("metadata"),
+        )
+
     async def astream_events(
         self,
         input: Any,
         config: RunnableConfig | None = None,
         *,
-        version: Literal["v1", "v2"],
-        include_names: Sequence[All] | None = None,
-        include_types: Sequence[All] | None = None,
-        include_tags: Sequence[All] | None = None,
-        exclude_names: Sequence[All] | None = None,
-        exclude_types: Sequence[All] | None = None,
-        exclude_tags: Sequence[All] | None = None,
+        version: Literal["v1", "v2", "v3"] = "v2",
+        interrupt_before: All | Sequence[str] | None = None,
+        interrupt_after: All | Sequence[str] | None = None,
+        control: Any = None,
+        transformers: Sequence[Any] | None = None,
+        headers: dict[str, str] | None = None,
         **kwargs: Any,
-    ) -> AsyncIterator[dict[str, Any]]:
-        raise NotImplementedError
+    ) -> Any:
+        """Async-stream events from this remote graph.
+
+        For `version="v3"`, awaits to an `_AsyncRemoteGraphRunStream`, matching
+        the local `Pregel.astream_events(version="v3")` awaitable contract:
+        `async with await rg.astream_events(..., version="v3") as run`. For
+        `version="v1"`/`"v2"`, raises NotImplementedError (use `astream`).
+        """
+        if version != "v3":
+            raise NotImplementedError(
+                f"RemoteGraph.astream_events(version={version!r}) is not "
+                "implemented; use astream() for v1/v2 streaming or "
+                "version='v3'."
+            )
+        self._reject_v3_unsupported(
+            control=control,
+            transformers=transformers,
+            interrupt_before=interrupt_before,
+            interrupt_after=interrupt_after,
+            extra_kwargs=kwargs,
+        )
+        client = self._validate_client()
+        sanitized = self._sanitize_config(merge_configs(self.config, config))
+        thread_id = sanitized.get("configurable", {}).pop("thread_id", None)
+        merged_headers = (
+            _merge_tracing_headers(headers) if self.distributed_tracing else headers
+        )
+        sdk_thread = client.threads.stream(
+            thread_id=thread_id,
+            assistant_id=self.assistant_id,
+            headers=merged_headers,
+        )
+        return _AsyncRemoteGraphRunStream(
+            client=client,
+            sdk_thread=sdk_thread,
+            input=input,
+            config=sanitized,
+            metadata=kwargs.get("metadata"),
+        )
 
     @overload
     def invoke(

libs/langgraph/langgraph/runtime.py

@@ -16,6 +16,7 @@ from langgraph.typing import ContextT
 __all__ = (
     "BaseUser",
     "ExecutionInfo",
+    "RunControl",
     "Runtime",
     "ServerInfo",
     "get_runtime",
@@ -75,6 +76,34 @@ class ServerInfo:
     """
 
 
+class RunControl:
+    """Run-scoped control surface for cooperative draining.
+
+    Intended for a single graph run. Create a fresh `RunControl` per run;
+    reusing a control after `request_drain()` leaves it drained.
+
+    Safe to call from any thread: the drain request is represented by a
+    single attribute write, so no lock is needed for this signal.
+    If more mutable state is added here, add synchronization.
+    """
+
+    __slots__ = ("_drain_reason",)
+
+    def __init__(self) -> None:
+        self._drain_reason: str | None = None
+
+    def request_drain(self, reason: str = "shutdown") -> None:
+        self._drain_reason = reason
+
+    @property
+    def drain_requested(self) -> bool:
+        return self._drain_reason is not None
+
+    @property
+    def drain_reason(self) -> str | None:
+        return self._drain_reason
+
+
 def _no_op_stream_writer(_: Any) -> None: ...
 
 
@@ -89,6 +118,7 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
     previous: Any
     execution_info: ExecutionInfo
     server_info: ServerInfo | None
+    control: RunControl | None
 
 
 @dataclass(**_DC_KWARGS)
@@ -167,7 +197,7 @@ class Runtime(Generic[ContextT]):
 
     context: ContextT = field(default=None)  # type: ignore[assignment]
     """Static context for the graph run, like `user_id`, `db_conn`, etc.
-    
+
     Can also be thought of as 'run dependencies'."""
 
     store: BaseStore | None = field(default=None)
@@ -188,7 +218,7 @@ class Runtime(Generic[ContextT]):
 
     previous: Any = field(default=None)
     """The previous return value for the given thread.
-    
+
     Only available with the functional API when a checkpointer is provided.
     """
 
@@ -200,6 +230,13 @@ class Runtime(Generic[ContextT]):
     server_info: ServerInfo | None = field(default=None)
     """Metadata injected by LangGraph Server. None when running open-source LangGraph without LangSmith deployments."""
 
+    control: RunControl | None = field(default=None)
+    """Run-scoped control plane for cooperative draining.
+
+    Populated automatically during graph runs. None outside an active
+    graph runtime.
+    """
+
     def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
         """Merge two runtimes together.
 
@@ -217,6 +254,7 @@ class Runtime(Generic[ContextT]):
             previous=self.previous if other.previous is None else other.previous,
             execution_info=other.execution_info or self.execution_info,
             server_info=other.server_info or self.server_info,
+            control=other.control or self.control,
         )
 
     def override(
@@ -235,6 +273,14 @@ class Runtime(Generic[ContextT]):
             execution_info=self.execution_info.patch(**overrides),
         )
 
+    @property
+    def drain_requested(self) -> bool:
+        return self.control.drain_requested if self.control is not None else False
+
+    @property
+    def drain_reason(self) -> str | None:
+        return self.control.drain_reason if self.control is not None else None
+
 
 DEFAULT_RUNTIME = Runtime(
     context=None,
@@ -243,6 +289,7 @@ DEFAULT_RUNTIME = Runtime(
     heartbeat=_no_op_heartbeat,
     previous=None,
     execution_info=None,
+    control=None,
 )
 
 

libs/langgraph/langgraph/stream/__init__.py

@@ -1,7 +1,7 @@
 """Streaming infrastructure for LangGraph.
 
-Compile a graph with `transformers=[...]` and call `graph.stream_v2()` /
-`graph.astream_v2()` to drive a transformer pipeline that projects the
+Compile a graph with `transformers=[...]` and call `graph.stream_events(version="v3")` /
+`graph.astream_events(version="v3")` to drive a transformer pipeline that projects the
 graph's raw events into ergonomic per-channel streams.
 """
 

libs/langgraph/langgraph/stream/_mux.py

@@ -62,6 +62,14 @@ class StreamMux:
         `extensions`, `_native` keys are recorded in `native_keys`, and
         any StreamChannel instances are bound and (if named) wired.
 
+        Transformers with `StreamTransformer.before_builtins = True` are
+        registered ahead of the rest, preserving relative order within
+        each lane. This lets content-mutating transformers (PII
+        redaction, content filters, etc.) run before built-ins like
+        `MessagesTransformer` that eagerly snapshot text fields into
+        their projections. See `StreamTransformer.before_builtins` for
+        the contract and foot-guns.
+
         Args:
             transformers: Already-built transformer instances. Registered
                 only on this mux — they are NOT cloned into child
@@ -91,9 +99,11 @@ class StreamMux:
         self._assign_seq = _assign_seq
         self._events: StreamChannel[ProtocolEvent] = StreamChannel()
         self._events._bind(is_async=is_async)
+        self._events._bind_mux(self)
         self._transformers: list[StreamTransformer] = []
         self._channels: list[StreamChannel[Any]] = []
         self._seq = 0
+        self._push_seq = 0
 
         self.extensions: dict[str, Any] = {}
         self.native_keys: set[str] = set()
@@ -110,20 +120,41 @@ class StreamMux:
         self._pump_fn: Callable[[], bool] | None = None
         self._apump_fn: Callable[[], Awaitable[bool]] | None = None
 
-        # Factories run first (they propagate to child mini-muxes
-        # via `_make_child`), then any pre-built `transformers=`
-        # instances are registered as root-only — they aren't cloned
-        # for child scopes.
+        # Factories run first (they propagate to child mini-muxes via
+        # `_make_child`), then any pre-built `transformers=` instances
+        # are registered as root-only — they aren't cloned for child
+        # scopes. Within each group, transformers with
+        # `before_builtins = True` are registered ahead of the rest so
+        # they observe (and may mutate) events before built-ins like
+        # `MessagesTransformer`. The order *within* each lane matches
+        # the supplied sequence.
+        pre: list[StreamTransformer] = []
+        rest: list[StreamTransformer] = []
         if factories is not None:
             for factory in factories:
-                self._register(factory(scope))
+                transformer = factory(scope)
+                (
+                    pre if getattr(transformer, "before_builtins", False) else rest
+                ).append(transformer)
+            for transformer in (*pre, *rest):
+                self._register(transformer)
+            pre.clear()
+            rest.clear()
         for transformer in transformers or ():
+            (pre if getattr(transformer, "before_builtins", False) else rest).append(
+                transformer
+            )
+        for transformer in (*pre, *rest):
             self._register(transformer)
 
     def transformer_by_key(self, key: str) -> StreamTransformer | None:
         """Return the transformer that contributed `key` to the projection."""
         return self._transformer_by_key.get(key)
 
+    def _next_push_seq(self) -> int:
+        self._push_seq += 1
+        return self._push_seq
+
     # ------------------------------------------------------------------
     # Pump wiring + mini-mux nesting
     # ------------------------------------------------------------------
@@ -449,6 +480,7 @@ class StreamMux:
         for value in projection.values():
             if isinstance(value, StreamChannel):
                 value._bind(is_async=self.is_async)
+                value._bind_mux(self)
                 self._channels.append(value)
                 if value.name is not None:
                     method = value.name if native else f"custom:{value.name}"

libs/langgraph/langgraph/stream/_types.py

@@ -35,7 +35,7 @@ class ProtocolEvent(TypedDict):
     """
 
     type: Literal["event"]
-    eventId: NotRequired[str]
+    event_id: NotRequired[str]  # snake_case to match the langchain-protocol wire field
     seq: NotRequired[int]
     method: str  # StreamMode value: "values", "messages", "custom", etc.
     params: _ProtocolEventParams
@@ -88,14 +88,31 @@ class StreamTransformer(ABC):
         required_stream_modes: Stream modes the graph must emit for
             this transformer to have anything to process. Computed as
             the union across all registered transformers to determine
-            which modes a `stream_v2` run requests from the graph.
+            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/run_stream.py

@@ -5,6 +5,8 @@ from collections.abc import AsyncIterator, Awaitable, Callable, Iterator, Mappin
 from types import MappingProxyType, TracebackType
 from typing import TYPE_CHECKING, Any
 
+from langchain_core._api import beta
+
 from langgraph.stream._convert import convert_to_protocol_event
 from langgraph.stream._mux import StreamMux
 from langgraph.stream._types import ProtocolEvent
@@ -25,6 +27,7 @@ async def _adrive_until_done(pump: Callable[[], Awaitable[bool]]) -> None:
         pass
 
 
+@beta(message="The v3 streaming protocol on Pregel is experimental.")
 class GraphRunStream:
     """Sync run stream with caller-driven pumping.
 
@@ -38,6 +41,11 @@ class GraphRunStream:
     All transformer projections live in `extensions`. Native transformer
     projections (those with `_native = True`) are also set as direct
     attributes on this instance (e.g. `run.values`, `run.messages`).
+
+    !!! warning
+
+        Returned by `Pregel.stream_events(version="v3")`, which is
+        experimental and may change.
     """
 
     def __init__(
@@ -185,28 +193,25 @@ class GraphRunStream:
         return iter(self._mux._events)
 
     def interleave(self, *names: str) -> Iterator[tuple[str, Any]]:
-        """Iterate multiple projections round-robin, yielding ``(name, item)``.
+        """Iterate multiple projections in arrival order, yielding ``(name, item)``.
 
-        Each turn advances one projection's cursor; when a cursor's buffer
-        is empty, pulling from it drives the pump once, which fans out to
-        every subscribed projection log. Projections whose items aren't
-        consumed on this turn sit in their own buffers only until the next
-        turn reaches them, bounding memory by the skew between projection
-        rates rather than letting any single log grow to the full run
-        length.
-
-        Projections are exhausted independently; a projection that finishes
-        early drops out of the rotation while others continue. The overall
-        iterator ends once all named projections are done.
+        Items are ordered by a monotonic push stamp assigned when each
+        transformer pushes into its `StreamChannel`. This gives strict
+        arrival ordering across projections, unlike round-robin.
 
         Args:
             *names: Projection keys to interleave. Must match keys in
                 ``extensions``.
 
         Yields:
-            ``(name, item)`` tuples in round-robin order across the named
+            ``(name, item)`` tuples in arrival order across the named
             projections.
 
+        Each named channel is locked for the duration of iteration and
+        released when the generator completes, is closed, or raises.
+        Channels cannot be subscribed concurrently — use `.tee(n)` if
+        you need fan-out.
+
         Raises:
             KeyError: If a name doesn't match a registered projection.
 
@@ -219,22 +224,73 @@ class GraphRunStream:
                     print("val:", item)
             ```
         """
-        cursors: dict[str, Iterator[Any]] = {
-            name: iter(self.extensions[name]) for name in names
-        }
-        done: set[str] = set()
-        while len(done) < len(cursors):
-            for name, cursor in cursors.items():
-                if name in done:
-                    continue
-                try:
-                    item = next(cursor)
-                except StopIteration:
-                    done.add(name)
-                    continue
-                yield (name, item)
+        from langgraph.stream.stream_channel import StreamChannel
+
+        channels: dict[str, StreamChannel[Any]] = {}
+        try:
+            for name in names:
+                ch = self.extensions[name]
+                if not isinstance(ch, StreamChannel):
+                    raise TypeError(
+                        f"interleave() requires StreamChannel projections, "
+                        f"got {type(ch).__name__} for {name!r}"
+                    )
+                if ch._is_async is None:
+                    raise TypeError(
+                        f"StreamChannel {name!r} has not been bound yet. "
+                        "Register the transformer with a StreamMux first."
+                    )
+                if ch._is_async:
+                    raise TypeError(
+                        f"StreamChannel {name!r} is bound to async mode — "
+                        "sync interleave() cannot consume async channels."
+                    )
+                if ch._subscribed:
+                    raise RuntimeError(
+                        f"StreamChannel {name!r} already has a subscriber; "
+                        "use .tee(n) for fan-out."
+                    )
+                ch._subscribed = True
+                channels[name] = ch
+
+            done: set[str] = set()
+
+            while len(done) < len(channels):
+                best: tuple[int, str] | None = None
+                for name, ch in channels.items():
+                    if name in done:
+                        continue
+                    if ch._closed and not ch._items:
+                        if ch._error is not None:
+                            raise ch._error
+                        done.add(name)
+                        continue
+                    if ch._items:
+                        stamp = ch._items[0][0]
+                        if best is None or stamp < best[0]:
+                            best = (stamp, name)
+
+                if best is not None:
+                    _stamp, item = channels[best[1]]._items.popleft()
+                    yield (best[1], item)
+                else:
+                    pump = self._mux._pump_fn
+                    if pump is None or not pump():
+                        before = len(done)
+                        for name, ch in channels.items():
+                            if name not in done and not ch._items:
+                                if ch._closed:
+                                    if ch._error is not None:
+                                        raise ch._error
+                                    done.add(name)
+                        if len(done) == before:
+                            break
+        finally:
+            for ch in channels.values():
+                ch._subscribed = False
 
 
+@beta(message="The v3 streaming protocol on Pregel is experimental.")
 class AsyncGraphRunStream:
     """Async run stream with caller-driven pumping.
 
@@ -256,6 +312,11 @@ class AsyncGraphRunStream:
         async for msg in run.messages:
             ...
     ```
+
+    !!! warning
+
+        Awaited from `Pregel.astream_events(version="v3")`, which is
+        experimental and may change.
     """
 
     def __init__(

libs/langgraph/langgraph/stream/stream_channel.py

@@ -3,7 +3,10 @@ from __future__ import annotations
 import asyncio
 from collections import deque
 from collections.abc import AsyncIterator, Awaitable, Callable, Iterator
-from typing import Generic, TypeVar
+from typing import TYPE_CHECKING, Generic, TypeVar
+
+if TYPE_CHECKING:
+    from langgraph.stream._mux import StreamMux
 
 T = TypeVar("T")
 
@@ -64,7 +67,7 @@ class StreamChannel(Generic[T]):
         if maxlen is not None and maxlen <= 0:
             raise ValueError("StreamChannel maxlen must be a positive int or None")
         self.name = name
-        self._items: deque[T] = deque()
+        self._items: deque[tuple[int, T]] = deque()
         self._maxlen: int | None = maxlen
         self._closed = False
         self._error: BaseException | None = None
@@ -77,11 +80,15 @@ class StreamChannel(Generic[T]):
         self._arequest_more: Callable[[], Awaitable[bool]] | None = None
 
         self._wire_fn: Callable[[T], None] | None = None
+        self._mux: StreamMux | None = None
 
     # ------------------------------------------------------------------
     # Binding
     # ------------------------------------------------------------------
 
+    def _bind_mux(self, mux: StreamMux) -> None:
+        self._mux = mux
+
     def _bind(self, *, is_async: bool) -> None:
         """Bind this channel to sync or async mode.
 
@@ -117,13 +124,18 @@ class StreamChannel(Generic[T]):
         registered, but auto-forwarding always fires so wired events
         reach the main event log regardless of subscription state.
 
+        Items are stored as `(stamp, item)` tuples where stamp is a
+        monotonic counter from the owning mux. Stamps are stripped by
+        the default cursors; raw stamped tuples are visible on `_items`.
+
         Raises:
             RuntimeError: If the channel is closed (and subscribed).
         """
         if self._subscribed:
             if self._closed:
                 raise RuntimeError("Cannot push to a closed StreamChannel")
-            self._items.append(item)
+            stamp = self._mux._next_push_seq() if self._mux is not None else 0
+            self._items.append((stamp, item))
         if self._wire_fn is not None:
             self._wire_fn(item)
 
@@ -170,7 +182,8 @@ class StreamChannel(Generic[T]):
     def _sync_cursor(self) -> Iterator[T]:
         while True:
             if self._items:
-                yield self._items.popleft()
+                _stamp, item = self._items.popleft()
+                yield item
             elif self._closed:
                 if self._error is not None:
                     raise self._error
@@ -212,7 +225,8 @@ class StreamChannel(Generic[T]):
     async def _async_cursor(self) -> AsyncIterator[T]:
         while True:
             if self._items:
-                yield self._items.popleft()
+                _stamp, item = self._items.popleft()
+                yield item
             elif self._closed:
                 if self._error is not None:
                     raise self._error

libs/langgraph/langgraph/stream/transformers.py

@@ -8,11 +8,11 @@ from langchain_core.language_models.chat_model_stream import (
     AsyncChatModelStream,
     ChatModelStream,
 )
-from langchain_core.messages import AIMessageChunk, BaseMessage
-from langchain_protocol.protocol import MessagesData
+from langchain_core.messages import AIMessageChunk, BaseMessage, ToolMessage
+from langchain_protocol.protocol import LifecycleCause, MessagesData
 from typing_extensions import NotRequired, TypedDict
 
-from langgraph.errors import GraphInterrupt
+from langgraph.errors import GraphDrained, GraphInterrupt
 from langgraph.stream._types import ProtocolEvent, StreamTransformer
 from langgraph.stream.run_stream import AsyncSubgraphRunStream, SubgraphRunStream
 from langgraph.stream.stream_channel import StreamChannel
@@ -38,8 +38,8 @@ class ValuesTransformer(StreamTransformer):
     Only values events at the run's own level are captured; snapshots
     from deeper subgraphs are left in the main event log but excluded
     from the projection. "Own level" is defined by `scope`, which
-    `stream_v2` / `astream_v2` populate from the caller's
-    checkpoint namespace so that a nested `stream_v2` call still
+    `stream_events(version="v3")` / `astream_events(version="v3")` populate from the caller's
+    checkpoint namespace so that a nested `stream_events(version="v3")` call still
     sees its own root snapshots.
     """
 
@@ -165,7 +165,7 @@ class MessagesTransformer(StreamTransformer):
     metadata)` from `StreamMessagesHandler`):
 
     1. Protocol event (dict with `"event"` key) — emitted by
-       `stream_v2()` / `astream_v2()` via the `on_stream_event`
+       `stream_events(version="v3")` / `astream_events(version="v3")` via the `on_stream_event`
        callback. Routed to an existing `ChatModelStream` by
        `metadata["run_id"]`. A `message-start` event creates a new
        stream; `message-finish` closes it.
@@ -177,15 +177,15 @@ class MessagesTransformer(StreamTransformer):
     V1 `AIMessageChunk` tuples (from `on_llm_new_token`) are not
     streamed into this projection: chat models that want to populate
     `run.messages` with content-block streaming must use
-    `stream_v2()` / `astream_v2()`. Models called via the legacy
+    `stream_events(version="v3")` / `astream_events(version="v3")`. Models called via the legacy
     `stream()` method still surface their final `AIMessage` via
     `on_chain_end` when a node returns it as state.
 
     Only events at the run's own level are projected; tokens from
     deeper subgraphs are left in the main event log but excluded from
     `.messages`. "Own level" is defined by `scope`, which
-    `stream_v2` / `astream_v2` populate from the caller's checkpoint
-    namespace so that a `stream_v2` call inside a node still sees its
+    `stream_events(version="v3")` / `astream_events(version="v3")` populate from the caller's checkpoint
+    namespace so that a `stream_events(version="v3")` call inside a node still sees its
     own root chat model streams on `.messages`. Consumers that need
     subgraph tokens should iterate the raw event stream or register a
     custom transformer.
@@ -203,6 +203,7 @@ class MessagesTransformer(StreamTransformer):
         # Correlate protocol events back to a ChatModelStream by run_id
         # (attached to the event's metadata by StreamMessagesHandler).
         self._by_run: dict[str, ChatModelStream] = {}
+        self._ignored_runs: set[str] = set()
         self._pump_fn: Callable[[], bool] | None = None
         self._apump_fn: Callable[[], Awaitable[bool]] | None = None
         # Cached as a list once for cheap equality with the protocol
@@ -276,12 +277,14 @@ class MessagesTransformer(StreamTransformer):
             self._route_protocol_event(
                 cast("MessagesData", payload), run_id=run_id, node=node
             )
-        elif isinstance(payload, BaseMessage) and not isinstance(
-            payload, AIMessageChunk
+        elif (
+            isinstance(payload, BaseMessage)
+            and not isinstance(payload, AIMessageChunk)
+            and not isinstance(payload, ToolMessage)
         ):
             self._route_whole_message(payload, node=node)
         # Legacy AIMessageChunk tuples (from on_llm_new_token) are ignored;
-        # v1 streaming callers must switch to stream_v2() to populate this
+        # v1 streaming callers must switch to stream_events(version="v3") to populate this
         # projection.
 
         return True
@@ -295,6 +298,11 @@ class MessagesTransformer(StreamTransformer):
     ) -> None:
         event_type = event.get("event")
         if event_type == "message-start":
+            # Tool results are exposed on the tools projection and state
+            # snapshots; run.messages is the chat-token projection.
+            if event.get("role") == "tool":
+                self._ignored_runs.add(run_id)
+                return
             message_id = event.get("message_id")
             stream = self._make_stream(
                 namespace=[],
@@ -304,6 +312,9 @@ class MessagesTransformer(StreamTransformer):
             self._by_run[run_id] = stream
             self._log.push(stream)
             stream.dispatch(event)
+        elif run_id in self._ignored_runs:
+            if event_type == "message-finish":
+                self._ignored_runs.discard(run_id)
         elif run_id in self._by_run:
             stream = self._by_run[run_id]
             stream.dispatch(event)
@@ -319,15 +330,17 @@ 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"]
+SubgraphStatus = Literal["started", "completed", "failed", "interrupted", "drained"]
 
 
 def _parse_ns_segment(segment: str) -> tuple[str, str | None]:
@@ -353,6 +366,7 @@ class LifecyclePayload(TypedDict, total=False):
     namespace: list[str]
     graph_name: NotRequired[str]
     trigger_call_id: NotRequired[str]
+    cause: NotRequired[LifecycleCause]
     error: NotRequired[str]
 
 
@@ -393,6 +407,18 @@ class _TasksLifecycleBase(StreamTransformer):
         # Maps tracked namespace -> task_id of the parent task whose
         # `TaskResultPayload` will close it.
         self._open: dict[tuple[str, ...], str] = {}
+        # lc_agent_name observed at each namespace (first task event wins).
+        # Not read by the base discriminator (which only checks whether the
+        # current task carries an lc_agent_name); maintained as extension state
+        # for subclasses that project named subagents — e.g. a `run.subagents`
+        # transformer reads this to filter to nested runs that have a name.
+        self._lc_by_ns: dict[tuple[str, ...], str | None] = {}
+        # Pregel task_id -> triggering LLM tool_call_id, harvested from a task
+        # whose `input` is a `tool_call_with_context` dict (current shape) or a
+        # list of tool-call dicts (legacy shape). The child subgraph's segment
+        # `node:<task_id>` shares this task_id, so a subagent recovers the tool
+        # call that spawned it (cross-payload).
+        self._pending_tool_calls: dict[str, str] = {}
 
     # --- Template-method hooks (subclass overrides) ---
 
@@ -405,6 +431,8 @@ class _TasksLifecycleBase(StreamTransformer):
         ns: tuple[str, ...],
         graph_name: str | None,
         trigger_call_id: str | None,
+        *,
+        cause: LifecycleCause | None = None,
     ) -> None:
         """Fired once per discovered namespace (first observed task event)."""
         raise NotImplementedError
@@ -430,18 +458,81 @@ class _TasksLifecycleBase(StreamTransformer):
         if "result" in data:
             self._handle_task_result(ns, data)
         else:
-            self._handle_task_start(ns)
+            self._record_identity(ns, data)
+            self._record_pending_tool_calls(data)
+            self._handle_task_start(ns, data)
         # Tasks events are folded into the synthesized projections;
         # suppress from the main event log so iterators don't double-see
         # the same information in two shapes.
         return False
 
-    def _handle_task_start(self, ns: tuple[str, ...]) -> None:
+    def _record_identity(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
+        """Record this namespace's `lc_agent_name` (first task event wins).
+
+        Runs for every task-start event, including `ns == self.scope` and
+        tracked children. Pregel emits parent-namespace tasks before
+        child-namespace tasks, so under that ordering the parent's identity is
+        recorded by the time a child event is evaluated in `_handle_task_start`.
+        """
+        if ns in self._lc_by_ns:
+            return
+        metadata = data.get("metadata") or {}
+        self._lc_by_ns[ns] = metadata.get("lc_agent_name")
+
+    def _record_pending_tool_calls(self, data: dict[str, Any]) -> None:
+        """Harvest a task's triggering tool_call_id keyed by its task id.
+
+        A tool-dispatch task seeds `task_id -> tool_call_id`; the spawned
+        subgraph's namespace segment `node:<task_id>` shares that id, letting
+        a subagent recover the tool call that caused it across payloads. Two
+        input shapes are handled: the current Pregel push model schedules each
+        tool call as its own task whose `input` is a `tool_call_with_context`
+        dict, while a legacy / batched model passes a list of tool-call dicts.
+        """
+        task_id = data.get("id")
+        if not isinstance(task_id, str):
+            return
+        payload = data.get("input")
+        tool_call_id: str | None = None
+        # Current langgraph schedules each tool call as its own push task
+        # whose input is a `tool_call_with_context` dict.
+        if isinstance(payload, dict) and isinstance(payload.get("tool_call"), dict):
+            candidate = payload["tool_call"].get("id")
+            if isinstance(candidate, str):
+                tool_call_id = candidate
+        # Legacy / batched shape: input is a list of tool-call dicts.
+        elif isinstance(payload, list):
+            for tc in payload:
+                if isinstance(tc, dict) and isinstance(tc.get("id"), str):
+                    tool_call_id = tc["id"]  # first wins
+                    break
+        if tool_call_id is not None:
+            self._pending_tool_calls[task_id] = tool_call_id
+
+    def _handle_task_start(self, ns: tuple[str, ...], data: dict[str, Any]) -> None:
         if not self._should_track(ns) or ns in self._seen:
             return
         self._seen.add(ns)
-        graph_name, trigger_call_id = _parse_ns_segment(ns[-1])
-        self._on_started(ns, graph_name or None, trigger_call_id)
+        parsed_name, trigger_call_id = _parse_ns_segment(ns[-1])
+        metadata = data.get("metadata") or {}
+        child_lc = metadata.get("lc_agent_name")
+        # A subagent boundary is any nested run carrying an lc_agent_name (set
+        # by create_agent). Unnamed runs (lc_agent_name None) are excluded.
+        #
+        # A same-named nested agent — e.g. a subagent that invokes itself — is
+        # surfaced because it re-asserts its own lc_agent_name. The trade-off:
+        # a non-agent subgraph invoked inside a tool inherits the parent's
+        # lc_agent_name and will also surface (named after the parent). A caller
+        # that needs to exclude such a graph can null lc_agent_name in the
+        # config it invokes that graph with.
+        is_subagent = child_lc is not None
+        graph_name = child_lc if is_subagent else (parsed_name or None)
+        cause: LifecycleCause | None = None
+        if is_subagent and trigger_call_id is not None:
+            tool_call_id = self._pending_tool_calls.get(trigger_call_id)
+            if tool_call_id:
+                cause = {"type": "toolCall", "tool_call_id": str(tool_call_id)}
+        self._on_started(ns, graph_name, trigger_call_id, cause=cause)
         if trigger_call_id is not None:
             self._open[ns] = trigger_call_id
 
@@ -472,10 +563,8 @@ class _TasksLifecycleBase(StreamTransformer):
         self._open.clear()
 
     def fail(self, err: BaseException) -> None:
-        """Emit `failed` / `interrupted` for any tracked namespace still open."""
-        is_interrupt = isinstance(err, GraphInterrupt)
-        status: SubgraphStatus = "interrupted" if is_interrupt else "failed"
-        error_str = None if is_interrupt else str(err)
+        """Emit terminal status for any tracked namespace still open."""
+        status, error_str = _status_from_exception(err)
         for ns in list(self._open):
             self._on_terminal(ns, status, error_str)
         self._open.clear()
@@ -483,6 +572,8 @@ class _TasksLifecycleBase(StreamTransformer):
 
 def _status_from_exception(err: BaseException) -> tuple[SubgraphStatus, str | None]:
     """Map a run exception to a subgraph terminal status and error string."""
+    if isinstance(err, GraphDrained):
+        return "drained", None
     if isinstance(err, GraphInterrupt):
         return "interrupted", None
     return "failed", str(err)
@@ -540,6 +631,8 @@ class LifecycleTransformer(_TasksLifecycleBase):
         ns: tuple[str, ...],
         graph_name: str | None,
         trigger_call_id: str | None,
+        *,
+        cause: LifecycleCause | None = None,
     ) -> None:
         if trigger_call_id is None:
             # Without a task id we can't correlate a parent-result
@@ -550,6 +643,8 @@ class LifecycleTransformer(_TasksLifecycleBase):
         if graph_name:
             payload["graph_name"] = graph_name
         payload["trigger_call_id"] = trigger_call_id
+        if cause is not None:
+            payload["cause"] = cause
         self._channel.push(payload)
 
     def _on_terminal(
@@ -612,6 +707,8 @@ class SubgraphTransformer(_TasksLifecycleBase):
         ns: tuple[str, ...],
         graph_name: str | None,
         trigger_call_id: str | None,
+        *,
+        cause: LifecycleCause | None = None,
     ) -> None:
         if self._mux is None:
             return
@@ -620,6 +717,10 @@ class SubgraphTransformer(_TasksLifecycleBase):
         except RuntimeError:
             return
         handle_cls = AsyncSubgraphRunStream if child_mux.is_async else SubgraphRunStream
+        # `cause` is intentionally ignored here: it is a wire/lifecycle-channel
+        # concern (carried on `LifecyclePayload`), not something the in-process
+        # subgraph navigation handle exposes. The argument is accepted only to
+        # keep the `_on_started` template signature uniform across transformers.
         handle = handle_cls(
             mux=child_mux,
             path=ns,
@@ -724,7 +825,12 @@ class SubgraphTransformer(_TasksLifecycleBase):
                 for child_ns, status, error in self._pop_terminal_transitions(ns, data):
                     await self._aon_terminal(child_ns, status, error)
             else:
-                self._handle_task_start(ns)
+                # Mirror the sync `process` bookkeeping so the async lane
+                # observes parent identity / tool calls before discriminating
+                # a subagent boundary.
+                self._record_identity(ns, data)
+                self._record_pending_tool_calls(data)
+                self._handle_task_start(ns, data)
             keep = False
         else:
             keep = True

libs/langgraph/langgraph/types.py

@@ -150,6 +150,16 @@ class TaskPayload(TypedDict):
     """Input data passed to the task."""
     triggers: list[str]
     """List of triggers that caused this task to be executed (e.g. channel writes)."""
+    metadata: NotRequired[dict[str, Any]]
+    """Framework-resolved metadata associated with the task.
+
+    Generic dict carrier following the messages-stream pattern. Populated by
+    `map_debug_tasks` from `task.config["metadata"]` when non-empty, so the
+    same keys `stream_mode="messages"` consumers see (e.g. `lc_agent_name`,
+    `langgraph_node`, `langgraph_step`) are available to stream transformers.
+
+    Consumers should ignore unrecognized keys.
+    """
 
 
 class TaskResultPayload(TypedDict):

libs/langgraph/pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
 
 [project]
 name = "langgraph"
-version = "1.1.10"
+version = "1.2.2"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -24,10 +24,10 @@ classifiers = [
     'Programming Language :: Python :: 3.13',
 ]
 dependencies = [
-    "langchain-core>=1.3.2,<2",
-    "langgraph-checkpoint>=4.0.3,<5.0.0",
-    "langgraph-sdk>=0.3.0,<0.4.0",
-    "langgraph-prebuilt>=1.0.12,<1.1.0",
+    "langchain-core>=1.4.0,<2",
+    "langgraph-checkpoint>=4.1.0,<5.0.0",
+    "langgraph-sdk>=0.4.0,<0.5.0",
+    "langgraph-prebuilt>=1.1.0,<1.2.0",
     "xxhash>=3.5.0",
     "pydantic>=2.7.4",
 ]

libs/langgraph/tests/test_channels.py

@@ -4,7 +4,6 @@ from typing import Annotated
 
 import pytest
 from langchain_core.messages import AIMessage, HumanMessage, RemoveMessage
-from langgraph.checkpoint.base import DELTA_SENTINEL
 from langgraph.checkpoint.memory import InMemorySaver
 from langgraph.checkpoint.serde.types import _DeltaSnapshot
 from typing_extensions import NotRequired, TypedDict
@@ -140,11 +139,11 @@ def test_delta_channel_basic_two_steps() -> None:
 
     ch.update([HumanMessage(content="hi", id="h1")])
     d1 = ch.checkpoint()
-    assert d1 is DELTA_SENTINEL
+    assert d1 is MISSING
 
     ch.update([AIMessage(content="hello", id="a1")])
     d2 = ch.checkpoint()
-    assert d2 is DELTA_SENTINEL
+    assert d2 is MISSING
 
     assert len(ch.get()) == 2
     assert ch.get()[0].content == "hi"
@@ -154,7 +153,7 @@ def test_delta_channel_basic_two_steps() -> None:
 def test_delta_channel_from_checkpoint_writes_list() -> None:
     """replay_writes on a fresh channel replays through the operator."""
     spec = DeltaChannel(_messages_delta_reducer, list)
-    ch = spec.from_checkpoint(DELTA_SENTINEL)
+    ch = spec.from_checkpoint(MISSING)
     ch.replay_writes(
         [
             ("t0", "messages", HumanMessage(content="hi", id="h1")),
@@ -182,7 +181,7 @@ def test_delta_channel_overwrite() -> None:
 
     ch.update([Overwrite([HumanMessage(content="new", id="h2")])])
     d = ch.checkpoint()
-    assert d is DELTA_SENTINEL
+    assert d is MISSING
     assert len(ch.get()) == 1
     assert ch.get()[0].content == "new"
 
@@ -202,7 +201,7 @@ def test_delta_channel_remove_message_and_replay() -> None:
     ch.update([RemoveMessage(id="a1")])
     assert ch.get() == [HumanMessage(content="hi", id="h1")]
 
-    ch2 = spec.from_checkpoint(DELTA_SENTINEL)
+    ch2 = spec.from_checkpoint(MISSING)
     ch2.replay_writes(
         [
             ("t0", "messages", HumanMessage(content="hi", id="h1")),
@@ -222,7 +221,7 @@ def test_delta_channel_update_by_id_and_replay() -> None:
     ch.update([HumanMessage(content="updated", id="h1")])
     assert ch.get() == [HumanMessage(content="updated", id="h1")]
 
-    ch2 = spec.from_checkpoint(DELTA_SENTINEL)
+    ch2 = spec.from_checkpoint(MISSING)
     ch2.replay_writes(
         [
             ("t0", "messages", HumanMessage(content="original", id="h1")),
@@ -233,13 +232,70 @@ def test_delta_channel_update_by_id_and_replay() -> None:
     assert ch2.get()[0].content == "updated"
 
 
-def test_delta_channel_checkpoint_returns_sentinel() -> None:
-    """checkpoint() always returns DELTA_SENTINEL regardless of state."""
+def test_delta_channel_dict_coercion() -> None:
+    """_messages_delta_reducer coerces dict writes to BaseMessage objects.
+
+    HTTP-driven input always arrives as JSON dicts.  The reducer must coerce
+    them (same contract as add_messages) so graphs work without a separate
+    coercion step.
+    """
     ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
-    assert ch.checkpoint() is DELTA_SENTINEL
+
+    # dict input — simulates what arrives from the HTTP API
+    ch.update([{"role": "human", "content": "hello", "id": "h1"}])
+    assert len(ch.get()) == 1
+    assert isinstance(ch.get()[0], HumanMessage)
+    assert ch.get()[0].content == "hello"
+    assert ch.get()[0].id == "h1"
+
+    # update by ID via dict
+    ch.update([{"role": "ai", "content": "world", "id": "h1"}])
+    assert len(ch.get()) == 1
+    assert ch.get()[0].content == "world"
+
+    # remove via RemoveMessage instance (same contract as add_messages)
+    ch.update([RemoveMessage(id="h1")])
+    assert ch.get() == []
+
+
+def test_messages_delta_reducer_coerces_state() -> None:
+    """State (left side) is coerced when raw — supports raw initial input
+    and deserialized blobs. The steady-state path (state already typed)
+    short-circuits and skips coercion.
+    """
+    state = [{"role": "human", "content": "hello", "id": "h1"}]
+    writes = [[{"role": "ai", "content": "world", "id": "h1"}]]
+    result = _messages_delta_reducer(state, writes)  # type: ignore[arg-type]
+    assert len(result) == 1
+    assert isinstance(result[0], AIMessage)
+    assert result[0].content == "world"
+    assert result[0].id == "h1"
+
+
+def test_messages_delta_reducer_tuple_write_is_one_message() -> None:
+    """A top-level tuple write is one message-like, not a sequence to flatten.
+
+    `("user", "hi")` is a valid `MessageLikeRepresentation`; flattening it
+    would produce two HumanMessages ("user", "hi") instead of one.
+    """
+    result = _messages_delta_reducer([], [("user", "hi")])  # type: ignore[arg-type]
+    assert len(result) == 1
+    assert isinstance(result[0], HumanMessage)
+    assert result[0].content == "hi"
+
+
+def test_delta_channel_checkpoint_returns_missing() -> None:
+    """checkpoint() always returns MISSING regardless of state.
+
+    Pregel writes `_DeltaSnapshot(ch.get())` directly into `channel_values`
+    on snapshot steps; the channel itself never participates in snapshot
+    serialization, so its `checkpoint()` is always the absence sentinel.
+    """
+    ch = DeltaChannel(_messages_delta_reducer, list).from_checkpoint(MISSING)
+    assert ch.checkpoint() is MISSING
 
     ch.update([HumanMessage(content="hi", id="h1")])
-    assert ch.checkpoint() is DELTA_SENTINEL
+    assert ch.checkpoint() is MISSING
 
 
 # ---------------------------------------------------------------------------
@@ -247,12 +303,13 @@ def test_delta_channel_checkpoint_returns_sentinel() -> None:
 # ---------------------------------------------------------------------------
 
 
-def test_delta_channel_snapshot_step_based() -> None:
-    """Snapshots fire on every Nth step regardless of whether the channel was written.
+def test_delta_channel_snapshot_version_based() -> None:
+    """Snapshots fire when a channel accumulates `snapshot_frequency` updates.
 
-    With snapshot_frequency=N, every Nth pregel step produces a _DeltaSnapshot
-    blob — even if the channel had no write that step (eager snapshot). This
-    bounds the ancestor walk to at most N steps on any read.
+    Under the version-delta cadence, every time the channel's
+    `current_version - last_snapshot_version >= snapshot_frequency` a
+    `_DeltaSnapshot` blob is written. Bounds the ancestor walk to at most
+    `snapshot_frequency` steps on any read for that channel.
     """
 
     class State(TypedDict):
@@ -295,51 +352,14 @@ def test_delta_channel_snapshot_step_based() -> None:
     assert len(state.values["messages"]) == 12  # 6 human + 6 AI
 
 
-def test_delta_channel_snapshot_fires_even_when_not_written() -> None:
-    """Eager snapshot: _DeltaSnapshot stored at snapshot step even when the
-    channel had no write that step (node_b doesn't touch messages).
-    """
-
-    class State(TypedDict):
-        messages: Annotated[
-            list, DeltaChannel(_messages_delta_reducer, snapshot_frequency=3)
-        ]
-        tick: int
-
-    def writer(state: State) -> dict:
-        i = len(state["messages"]) // 2
-        return {"messages": [AIMessage(content=f"a{i}", id=f"a{i}")]}
-
-    def ticker(state: State) -> dict:
-        return {"tick": state["tick"] + 1}
-
-    g = StateGraph(State)
-    g.add_node("writer", writer)
-    g.add_node("ticker", ticker)
-    g.add_edge(START, "writer")
-    g.add_edge("writer", "ticker")
-    saver = InMemorySaver()
-    graph = g.compile(checkpointer=saver)
-
-    config = {"configurable": {"thread_id": "t1"}}
-    for i in range(5):
-        graph.invoke(
-            {"messages": [HumanMessage(content=f"h{i}", id=f"h{i}")], "tick": 0},
-            config,
-        )
-
-    msg_blobs = {
-        k: saver.serde.loads_typed((t, b))
-        for k, (t, b) in saver.blobs.items()
-        if k[2] == "messages" and t == "msgpack" and b
-    }
-    snapshots = {k: v for k, v in msg_blobs.items() if isinstance(v, _DeltaSnapshot)}
-    assert snapshots, (
-        "eager snapshots must fire even on steps where messages wasn't written"
-    )
-
-    state = graph.get_state(config)
-    assert len(state.values["messages"]) == 10  # 5 human + 5 AI
+# TODO(delta-channel-cadence): the previous "snapshot fires even when channel
+# was not written" test asserted eager step-based snapshotting; under the new
+# version-delta cadence (`should_snapshot` triggers on per-channel update
+# count, not superstep count), no snapshot fires for an unwritten channel.
+# Replace with a test that exercises the version-delta trigger plus the
+# durability="exit" force-snapshot branch — see
+# `docs/superpowers/specs/2026-05-04-delta-channel-batched-reads-design.md`
+# section "Snapshot cadence".
 
 
 # ---------------------------------------------------------------------------
@@ -371,8 +391,7 @@ def test_delta_channel_inmemory_saver_assembles_writes() -> None:
 
     saved = saver.get_tuple(config)
     assert saved is not None
-    assert "messages" in saved.checkpoint["channel_values"]
-    assert saved.checkpoint["channel_values"]["messages"] is DELTA_SENTINEL
+    assert "messages" not in saved.checkpoint["channel_values"]
 
     state = graph.get_state(config)
     assert len(state.values["messages"]) == 4  # 2 human + 2 AI
@@ -415,11 +434,11 @@ def test_delta_channel_dict_reducer_basic_updates() -> None:
 
     ch.update([{"a": 1}])
     d1 = ch.checkpoint()
-    assert d1 is DELTA_SENTINEL
+    assert d1 is MISSING
 
     ch.update([{"b": 2}])
     d2 = ch.checkpoint()
-    assert d2 is DELTA_SENTINEL
+    assert d2 is MISSING
 
     assert ch.get() == {"a": 1, "b": 2}
 
@@ -434,7 +453,7 @@ def test_delta_channel_dict_reducer_writes_reconstruction() -> None:
         return result
 
     spec = _delta_channel_with_type(merge_dicts, dict)
-    ch = spec.from_checkpoint(DELTA_SENTINEL)
+    ch = spec.from_checkpoint(MISSING)
     ch.replay_writes(
         [
             ("t0", "files", {"a": 1}),
@@ -464,7 +483,7 @@ def test_delta_channel_dict_reducer_with_deletions() -> None:
     assert ch.get() == {"file2.py": "content2", "file3.py": "content3"}
 
     spec = _delta_channel_with_type(merge_files, dict)
-    ch2 = spec.from_checkpoint(DELTA_SENTINEL)
+    ch2 = spec.from_checkpoint(MISSING)
     ch2.replay_writes(
         [
             ("t0", "files", {"file1.py": "content1", "file2.py": "content2"}),
@@ -499,7 +518,7 @@ def test_delta_channel_dict_reducer_overwrite_in_writes_replay() -> None:
         return result
 
     spec = _delta_channel_with_type(merge_dicts, dict)
-    ch = spec.from_checkpoint(DELTA_SENTINEL)
+    ch = spec.from_checkpoint(MISSING)
     ch.replay_writes(
         [
             ("t0", "files", {"a": 1}),
@@ -562,7 +581,7 @@ def test_delta_channel_dict_reducer_end_to_end_filesystem() -> None:
 
     saved = saver.get_tuple(config)
     assert saved is not None
-    assert saved.checkpoint["channel_values"]["files"] is DELTA_SENTINEL
+    assert "files" not in saved.checkpoint["channel_values"]
     state = graph.get_state(config)
     assert state.values["files"] == {
         "/doc_1.txt": "content for turn 1",
@@ -640,7 +659,7 @@ def test_delta_channel_from_checkpoint_seed_without_writes() -> None:
 def test_delta_channel_from_checkpoint_seed_none_is_distinct_from_sentinel() -> None:
     """`seed=None` must start replay from None, not from an empty channel.
 
-    The DELTA_SENTINEL / MISSING sentinels mean 'no seed'; passing `None`
+    The `MISSING` absence sentinel means 'no seed'; passing `None`
     explicitly should feed None to the reducer as the left operand.
     """
 

libs/langgraph/tests/test_config_async.py

@@ -1,7 +1,8 @@
 import pytest
-from langchain_core.callbacks import AsyncCallbackManager
+from langchain_core.callbacks import AsyncCallbackManager, BaseCallbackHandler
 
 from langgraph._internal._config import get_async_callback_manager_for_config
+from langgraph.graph import StateGraph
 
 pytestmark = pytest.mark.anyio
 
@@ -17,3 +18,99 @@ def test_new_async_manager_merges_tags_with_config() -> None:
     config = {"callbacks": None, "tags": ["a"]}
     manager = get_async_callback_manager_for_config(config, tags=["b"])
     assert manager.inheritable_tags == ["a", "b"]
+
+
+class _TrackingCallback(BaseCallbackHandler):
+    def __init__(self) -> None:
+        self.called = False
+
+    def on_chain_start(self, *args, **kwargs) -> None:  # noqa: ANN002, ANN003
+        self.called = True
+
+
+async def test_with_config_callbacks_preserved_in_astream_events() -> None:
+    """A callback bound via .with_config(...) must survive when
+    astream_events injects its own internal callback handler.
+
+    Pre-fix: ensure_config overwrites the callbacks key, dropping the
+    bound handler. Post-fix: the handler list is merged.
+    """
+    builder = StateGraph(dict)
+    builder.add_node("node", lambda state: state)
+    builder.add_edge("__start__", "node")
+    cb = _TrackingCallback()
+    graph = builder.compile().with_config({"callbacks": [cb]})
+    async for _ in graph.astream_events({}, version="v2"):
+        pass
+    assert cb.called, "user-bound callback was dropped by ensure_config overwrite"
+
+
+async def test_with_config_configurable_preserved_on_invoke() -> None:
+    """A configurable key bound via .with_config(...) must survive when
+    invoke-time config supplies a different configurable key.
+
+    Pre-fix: ensure_config overwrites the entire configurable dict.
+    Post-fix: the two dicts are shallow-merged per key.
+    """
+    builder = StateGraph(dict)
+    captured: dict = {}
+
+    def node(state, config):  # noqa: ANN001
+        captured.update(config.get("configurable") or {})
+        return state
+
+    builder.add_node("node", node)
+    builder.add_edge("__start__", "node")
+    graph = builder.compile().with_config({"configurable": {"ls_agent_type": "root"}})
+    await graph.ainvoke({}, {"configurable": {"thread_id": "T1"}})
+    assert captured.get("ls_agent_type") == "root", (
+        "bound configurable key was dropped by ensure_config overwrite"
+    )
+    assert captured.get("thread_id") == "T1", "invoke-time key not present"
+
+
+async def test_with_config_metadata_preserved_on_invoke() -> None:
+    """A metadata key bound via .with_config(...) must survive when
+    invoke-time config supplies a different metadata key.
+
+    Pre-fix: ensure_config overwrites the entire metadata dict.
+    Post-fix: the two dicts are shallow-merged per key.
+    """
+    builder = StateGraph(dict)
+    captured: dict = {}
+
+    def node(state, config):  # noqa: ANN001
+        captured.update(config.get("metadata") or {})
+        return state
+
+    builder.add_node("node", node)
+    builder.add_edge("__start__", "node")
+    graph = builder.compile().with_config({"metadata": {"user_id": "U1"}})
+    await graph.ainvoke({}, {"metadata": {"correlation_id": "C1"}})
+    assert captured.get("user_id") == "U1", (
+        "bound metadata key was dropped by ensure_config overwrite"
+    )
+    assert captured.get("correlation_id") == "C1", "invoke-time key not present"
+
+
+async def test_with_config_tags_preserved_on_invoke() -> None:
+    """Tags bound via .with_config(...) must survive when invoke-time
+    config supplies its own tags.
+
+    Pre-fix: ensure_config overwrites the entire tags list.
+    Post-fix: tags are concatenated (matching merge_configs behavior;
+    no deduplication, no sorting).
+    """
+    builder = StateGraph(dict)
+    captured: list = []
+
+    def node(state, config):  # noqa: ANN001
+        captured.extend(config.get("tags") or [])
+        return state
+
+    builder.add_node("node", node)
+    builder.add_edge("__start__", "node")
+    graph = builder.compile().with_config({"tags": ["bound"]})
+    await graph.ainvoke({}, {"tags": ["invoke"]})
+    assert "bound" in captured, "bound tag was dropped by ensure_config overwrite"
+    assert "invoke" in captured, "invoke-time tag not present"

libs/langgraph/tests/test_delta_channel_benchmark.py

@@ -1,35 +1,41 @@
-"""Benchmark: DeltaChannel snapshot_frequency — storage vs. read-depth tradeoff.
+"""Benchmark: DeltaChannel — multi-channel reads, mixed snapshot frequencies.
 
 Run directly:  python tests/test_delta_channel_benchmark.py
 Run via pytest: pytest tests/test_delta_channel_benchmark.py -s
 
-Part 1 — baseline (original): DeltaChannel(inf) vs add_messages (BinOp).
-Part 2 — snapshot_frequency sweep: shows the storage/read-latency tradeoff
-  across frequencies [1, 5, 10, 50, inf] at scale.
+Sweeps `(K delta channels, snapshot_frequency strategy, turn count)` and
+reports per-scenario read latency, write latency, storage, and peak Python
+heap usage during `get_state`.
 
-Key insight:
-  snapshot_frequency=inf  → O(N) storage, O(N) read depth (pure delta)
-  snapshot_frequency=N    → O(N²/N) storage, O(N) read depth bounded by freq
-  snapshot_frequency=1    → O(N²) storage, O(1) read depth (full snapshot)
+Scenarios cover the dimensions where this branch's optimizations matter:
+
+  * K-channel batching   — varying K (number of `DeltaChannel`s the graph
+                           reads on hydrate) shows the effect of merging
+                           per-channel reads into a single saver call.
+  * Mixed frequencies    — channels with very different snapshot cadences
+                           in one graph exercise the per-channel chain
+                           bound in stage-2.
+  * Turn count           — chain depth shows how paged stage-1 holds up.
 """
 
 from __future__ import annotations
 
 import contextlib
-import math
+import gc
 import os
 import sys
 import time
+import tracemalloc
 from typing import Annotated, Any
 
 import pytest
-from langchain_core.messages import AIMessage, HumanMessage
+from langchain_core.messages import HumanMessage
 from langgraph.checkpoint.memory import MemorySaver
 from typing_extensions import TypedDict
 
 from langgraph.channels.delta import DeltaChannel
 from langgraph.graph import END, StateGraph
-from langgraph.graph.message import _messages_delta_reducer, add_messages
+from langgraph.graph.message import _messages_delta_reducer
 
 try:
     from langgraph.checkpoint.postgres import PostgresSaver
@@ -42,24 +48,16 @@ try:
 except ImportError:
     _POSTGRES_AVAILABLE = False
 
+
 # ---------------------------------------------------------------------------
 # Realistic message payload (~100 tokens / ~400 chars each)
 # ---------------------------------------------------------------------------
 
 _HUMAN_TEMPLATE = (
-    "I need help understanding the implications of {topic} on our system architecture. "
-    "Specifically, I'm concerned about how this interacts with our existing {concern} "
-    "and whether we need to refactor the {component} layer before proceeding. "
-    "We've had prior incidents in this area and want to be deliberate. "
-    "What should we prioritize first, and are there known failure modes we should design around from the start?"
-)
-
-_AI_TEMPLATE = (
-    "Great question about {topic}. The key insight here is that {concern} introduces "
-    "a subtle ordering dependency that most teams overlook until they hit it in production. "
-    "For your {component} layer specifically, I'd recommend starting with a careful audit "
-    "of the interface boundaries before making any structural changes. This will give you "
-    "a clear picture of the blast radius and let you sequence the migration safely."
+    "I need help understanding the implications of {topic} on our system "
+    "architecture. Specifically, I'm concerned about how this interacts with "
+    "our existing {concern} and whether we need to refactor the {component} "
+    "layer before proceeding."
 )
 
 _TOPICS = [
@@ -68,28 +66,9 @@ _TOPICS = [
     "schema migration",
     "backpressure handling",
     "idempotency guarantees",
-    "cache invalidation",
-    "connection pooling",
-    "rate limiting",
-    "circuit breaking",
-    "observability pipelines",
-]
-
-_CONCERNS = [
-    "concurrency model",
-    "retry semantics",
-    "state management",
-    "error propagation",
-    "latency budget",
-]
-
-_COMPONENTS = [
-    "persistence",
-    "routing",
-    "ingestion",
-    "aggregation",
-    "serialization",
 ]
+_CONCERNS = ["concurrency model", "retry semantics", "ordering guarantees"]
+_COMPONENTS = ["persistence", "ingestion", "routing"]
 
 
 def _human_content(i: int) -> str:
@@ -100,136 +79,132 @@ def _human_content(i: int) -> str:
     )
 
 
-def _ai_content(i: int) -> str:
-    return _AI_TEMPLATE.format(
-        topic=_TOPICS[i % len(_TOPICS)],
-        concern=_CONCERNS[i % len(_CONCERNS)],
-        component=_COMPONENTS[i % len(_COMPONENTS)],
-    )
-
-
 # ---------------------------------------------------------------------------
-# State definitions
+# State / graph factory: K DeltaChannel fields with per-channel freqs
 # ---------------------------------------------------------------------------
 
 
-class BinaryState(TypedDict):
-    messages: Annotated[list, add_messages]
-
-
-class DeltaState(TypedDict):
-    messages: Annotated[list, DeltaChannel(_messages_delta_reducer)]
-
-
-def _make_delta_state(snapshot_frequency: int | float) -> type:
-    """Create a TypedDict with DeltaChannel at the given snapshot_frequency."""
-    channel = DeltaChannel(
-        _messages_delta_reducer, snapshot_frequency=snapshot_frequency
-    )
-    # Use the functional TypedDict form so the Annotated type is stored as an
-    # already-evaluated object rather than a forward-reference string (which
-    # would fail when get_type_hints tries to resolve 'snapshot_frequency').
+def _make_state_cls(freqs: list[int]) -> type:
+    """Build a TypedDict with one DeltaChannel per entry in `freqs`."""
+    fields: dict[str, Any] = {}
+    for i, freq in enumerate(freqs):
+        ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=freq)
+        fields[f"ch{i}"] = Annotated[list, ch]
     return TypedDict(  # type: ignore[return-value]
-        f"DeltaState_freq{snapshot_frequency}",
-        {"messages": Annotated[list, channel]},
+        "_BenchState_" + "-".join(str(f) for f in freqs),
+        fields,
     )
 
 
-# ---------------------------------------------------------------------------
-# Graph factory
-# ---------------------------------------------------------------------------
+def _make_graph(state_cls: type, K: int, checkpointer: Any = None) -> Any:
+    """Graph: one node, writes a fresh message into every channel each turn."""
 
-
-def _make_graph(state_cls: type, checkpointer: Any = None) -> Any:
-    def human_node(state: Any) -> dict:
-        return {}
-
-    def ai_node(state: Any) -> dict:
-        i = len(state["messages"]) // 2
-        return {"messages": [AIMessage(content=_ai_content(i), id=f"a{i}")]}
+    def fanout(state: Any) -> dict[str, Any]:
+        i = max(len(state.get(f"ch{j}", [])) for j in range(K))
+        # Each channel gets its own copy with a unique id so the reducer
+        # does meaningful per-channel state accumulation.
+        return {
+            f"ch{j}": [HumanMessage(content=_human_content(i), id=f"c{j}_{i}")]
+            for j in range(K)
+        }
 
     g = StateGraph(state_cls)
-    g.add_node("human", human_node)
-    g.add_node("ai", ai_node)
-    g.add_edge("human", "ai")
-    g.add_edge("ai", END)
-    g.set_entry_point("human")
+    g.add_node("fanout", fanout)
+    g.set_entry_point("fanout")
+    g.add_edge("fanout", END)
     return g.compile(checkpointer=checkpointer or MemorySaver())
 
 
 # ---------------------------------------------------------------------------
-# Measurement helpers
+# Storage / memory measurement
 # ---------------------------------------------------------------------------
 
 
-def _total_blob_bytes(saver: MemorySaver) -> int:
-    total = 0
-    for (_, _, _, _), (type_tag, blob) in saver.blobs.items():
-        if blob is not None:
-            total += len(blob)
-    return total
+def _inmemory_blob_bytes(saver: MemorySaver) -> int:
+    return sum(
+        len(blob) for (_, _, _, _), (_, blob) in saver.blobs.items() if blob is not None
+    )
 
 
-def _run_turns(
-    n_turns: int,
-    state_cls: type,
-    checkpointer: Any = None,
-) -> tuple[float, float, int]:
-    """Run n_turns conversation turns.
-
-    Returns (write_elapsed_s, read_elapsed_s, total_blob_bytes).
-    Read latency is the average of 5 get_state calls after the full history
-    is built — forces state rehydration including ancestor replay if needed.
+def _postgres_storage_bytes(saver: Any, thread_id: str) -> int:
+    """Total bytes across checkpoints / checkpoint_blobs / checkpoint_writes
+    rows for this `thread_id`. Uses `pg_column_size` for an in-row payload
+    estimate; faster than full-table size and scoped to the thread."""
+    sql = """
+    SELECT COALESCE(SUM(pg_column_size(c.*)), 0)
+         + COALESCE((SELECT SUM(pg_column_size(b.*)) FROM checkpoint_blobs b
+                     WHERE b.thread_id = %s), 0)
+         + COALESCE((SELECT SUM(pg_column_size(w.*)) FROM checkpoint_writes w
+                     WHERE w.thread_id = %s), 0)
+         AS total
+    FROM checkpoints c
+    WHERE c.thread_id = %s
     """
-    graph = _make_graph(state_cls, checkpointer)
-    config = {"configurable": {"thread_id": "bench"}}
+    with saver._cursor() as cur:
+        cur.execute(sql, (thread_id, thread_id, thread_id))
+        row = cur.fetchone()
+    if row is None:
+        return 0
+    if isinstance(row, dict):
+        return int(row.get("total") or 0)
+    return int(row[0] or 0)
 
+
+def _run_scenario(
+    freqs: list[int],
+    n_turns: int,
+    checkpointer: Any,
+    thread_id: str,
+) -> dict[str, float | int]:
+    """Drive `n_turns` invocations of a K-channel graph, measure
+    write/read/storage/peak-memory."""
+    K = len(freqs)
+    state_cls = _make_state_cls(freqs)
+    graph = _make_graph(state_cls, K, checkpointer)
+    config = {"configurable": {"thread_id": thread_id}}
+
+    # Write phase
     t0 = time.perf_counter()
     for i in range(n_turns):
-        graph.invoke(
-            {"messages": [HumanMessage(content=_human_content(i), id=f"h{i}")]},
-            config,
-        )
+        graph.invoke({}, config)
     write_elapsed = time.perf_counter() - t0
 
+    # Read phase + tracemalloc peak across get_state calls
+    gc.collect()
+    tracemalloc.start()
     t1 = time.perf_counter()
     for _ in range(5):
         graph.get_state(config)
     read_elapsed = (time.perf_counter() - t1) / 5
+    _, peak_bytes = tracemalloc.get_traced_memory()
+    tracemalloc.stop()
 
-    blob_bytes = (
-        _total_blob_bytes(graph.checkpointer)
-        if isinstance(graph.checkpointer, MemorySaver)
-        else -1
-    )
-    return write_elapsed, read_elapsed, blob_bytes
+    # Storage
+    if isinstance(graph.checkpointer, MemorySaver):
+        storage = _inmemory_blob_bytes(graph.checkpointer)
+    elif _POSTGRES_AVAILABLE and isinstance(graph.checkpointer, PostgresSaver):
+        storage = _postgres_storage_bytes(graph.checkpointer, thread_id)
+    else:
+        storage = -1
 
-
-def _fmt_bytes(n: int) -> str:
-    if n >= 1_000_000:
-        return f"{n / 1_000_000:.1f} MB"
-    if n >= 1_000:
-        return f"{n / 1_000:.1f} KB"
-    return f"{n} B"
-
-
-def _approx_tokens(n_turns: int) -> str:
-    tokens = n_turns * 200
-    if tokens >= 1_000_000:
-        return f"~{tokens / 1_000_000:.1f}M tok"
-    if tokens >= 1_000:
-        return f"~{tokens / 1_000:.0f}K tok"
-    return f"~{tokens} tok"
+    return {
+        "K": K,
+        "turns": n_turns,
+        "write_total_s": write_elapsed,
+        "write_per_invoke_ms": (write_elapsed / n_turns) * 1000,
+        "read_avg_ms": read_elapsed * 1000,
+        "storage_bytes": storage,
+        "peak_mem_bytes": peak_bytes,
+    }
 
 
 # ---------------------------------------------------------------------------
-# Checkpointer factories
+# Postgres helpers
 # ---------------------------------------------------------------------------
 
 
 @contextlib.contextmanager
-def _pg_saver(thread_id: str = "bench"):
-    """Context manager that yields a fresh PostgresSaver and cleans up after."""
+def _pg_saver(thread_id: str):
     with PostgresSaver.from_conn_string(_POSTGRES_URI) as saver:
         saver.setup()
         with saver._cursor() as cur:
@@ -242,7 +217,6 @@ def _pg_saver(thread_id: str = "bench"):
 
 
 def _checkpointers() -> list[tuple[str, Any]]:
-    """Return (label, saver_or_None) pairs for available checkpointers."""
     result: list[tuple[str, Any]] = [("InMemory", None)]
     if _POSTGRES_AVAILABLE:
         try:
@@ -256,223 +230,92 @@ def _checkpointers() -> list[tuple[str, Any]]:
 
 
 # ---------------------------------------------------------------------------
-# Part 1: baseline DeltaChannel(inf) vs add_messages
+# Scenarios
 # ---------------------------------------------------------------------------
 
-BASELINE_TURN_COUNTS = [10, 25, 50, 100, 500]
-DELTA_ONLY_TURN_COUNTS = [1000]
+SCENARIOS: list[tuple[str, list[int]]] = [
+    ("K=1, freq=50", [50]),
+    ("K=3, freq=50 uniform", [50, 50, 50]),
+    ("K=3, freq=mixed", [50, 200, 1000]),
+    ("K=8, freq=50 uniform", [50] * 8),
+    ("K=8, freq=mixed", [25, 50, 100, 200, 500, 1000, 1000, 1000]),
+]
+
+TURN_COUNTS = [100, 500]
 
 
-def _run_baseline_for_checkpointer(cp_label: str, cp_hint: Any) -> None:
-    W = 72
+def _fmt_bytes(n: int) -> str:
+    if n < 0:
+        return "n/a"
+    if n >= 1_000_000:
+        return f"{n / 1_000_000:.1f} MB"
+    if n >= 1_000:
+        return f"{n / 1_000:.1f} KB"
+    return f"{n} B"
 
-    def _make_saver():
-        if cp_hint is None:
-            return contextlib.nullcontext(None)
-        return _pg_saver()
 
-    rows: list[tuple[int, Any, Any, Any, Any, Any, Any]] = []
-    for turns in BASELINE_TURN_COUNTS:
-        with _make_saver() as saver:
-            b_wt, b_rt, b_bytes = _run_turns(turns, BinaryState, saver)
-        with _make_saver() as saver:
-            d_wt, d_rt, d_bytes = _run_turns(turns, DeltaState, saver)
-        rows.append((turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt))
-    for turns in DELTA_ONLY_TURN_COUNTS:
-        with _make_saver() as saver:
-            d_wt, d_rt, d_bytes = _run_turns(turns, DeltaState, saver)
-        rows.append((turns, None, d_bytes, None, d_rt, None, d_wt))
-
-    def _bytes_or_na(v: Any) -> str:
-        if v is None or v < 0:
-            return "n/a"
-        return _fmt_bytes(v)
-
-    def _ms_or_na(v: Any) -> str:
-        return "n/a" if v is None else f"{v * 1000:.1f}ms"
-
-    print(f"\n  [{cp_label}] Storage (blob bytes)")
-    print(
-        f"  {'turns':>6}  {'ctx':>10}  {'add_msgs':>12}  {'delta(inf)':>12}  {'savings':>8}"
+def _print_scenario_table(cp_label: str, rows: list[dict]) -> None:
+    print(f"\n  [{cp_label}]")
+    header = (
+        f"  {'scenario':<28}{'turns':>8}{'write_ms':>11}"
+        f"{'read_ms':>10}{'storage':>12}{'peak_mem':>12}"
     )
-    print("  " + "-" * (W - 2))
-    for turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt in rows:
-        if b_bytes is None or b_bytes < 0 or d_bytes is None or d_bytes < 0:
-            ratio_str = "n/a"
-        else:
-            ratio = b_bytes / d_bytes if d_bytes else float("inf")
-            ratio_str = f"{ratio:.0f}x"
+    print(header)
+    print("  " + "-" * (len(header) - 2))
+    for row in rows:
         print(
-            f"  {turns:>6}  {_approx_tokens(turns):>10}  "
-            f"{_bytes_or_na(b_bytes):>12}  {_bytes_or_na(d_bytes):>12}  {ratio_str:>8}"
-        )
-
-    print(f"\n  [{cp_label}] Read latency (avg of 5 get_state calls)")
-    print(f"  {'turns':>6}  {'ctx':>10}  {'add_msgs':>12}  {'delta(inf)':>12}")
-    print("  " + "-" * (W - 2))
-    for turns, b_bytes, d_bytes, b_rt, d_rt, b_wt, d_wt in rows:
-        print(
-            f"  {turns:>6}  {_approx_tokens(turns):>10}  "
-            f"{_ms_or_na(b_rt):>12}  {_ms_or_na(d_rt):>12}"
+            f"  {row['scenario']:<28}"
+            f"{row['turns']:>8}"
+            f"{row['write_per_invoke_ms']:>10.1f}"
+            f"{row['read_avg_ms']:>10.2f}"
+            f"{_fmt_bytes(row['storage_bytes']):>12}"
+            f"{_fmt_bytes(row['peak_mem_bytes']):>12}"
         )
 
 
-def run_baseline_benchmark() -> None:
-    print()
-    print("Part 1 — DeltaChannel(inf) vs add_messages: storage & latency")
-    print("=" * 72)
+def run_benchmark() -> list[dict]:
+    """Run the full sweep and return all measurement rows."""
+    all_rows: list[dict] = []
     for cp_label, cp_hint in _checkpointers():
-        _run_baseline_for_checkpointer(cp_label, cp_hint)
-    print()
+        rows: list[dict] = []
+        for scenario_label, freqs in SCENARIOS:
+            for turns in TURN_COUNTS:
+                thread_id = f"bench-{scenario_label.replace(' ', '_')}-{turns}".lower()
+                if cp_hint is None:
+                    saver_ctx: Any = contextlib.nullcontext(None)
+                else:
+                    saver_ctx = _pg_saver(thread_id)
+                with saver_ctx as saver:
+                    measured = _run_scenario(freqs, turns, saver, thread_id)
+                measured["scenario"] = scenario_label
+                measured["saver"] = cp_label
+                rows.append(measured)
+                all_rows.append(measured)
+        _print_scenario_table(cp_label, rows)
+    return all_rows
 
 
 # ---------------------------------------------------------------------------
-# Part 2: snapshot_frequency sweep
-# ---------------------------------------------------------------------------
-
-# Frequencies to test. 1 = always snapshot (like BinOp), inf = pure delta.
-SNAPSHOT_FREQUENCIES: list[int | float] = [1, 5, 10, 50, math.inf]
-
-# Turn counts for the sweep — high enough to show storage divergence.
-SWEEP_TURN_COUNTS = [50, 100, 500]
-
-
-def _freq_label(freq: int | float) -> str:
-    if freq == math.inf:
-        return "inf"
-    return str(int(freq))
-
-
-def _run_sweep_for_checkpointer(cp_label: str, cp_hint: Any) -> None:
-    def _make_saver():
-        if cp_hint is None:
-            return contextlib.nullcontext(None)
-        return _pg_saver()
-
-    # Collect results: {turns: {freq_label: (write_s, read_s, bytes)}}
-    results: dict[int, dict[str, tuple[float, float, int]]] = {}
-    for turns in SWEEP_TURN_COUNTS:
-        results[turns] = {}
-        for freq in SNAPSHOT_FREQUENCIES:
-            state_cls = _make_delta_state(freq)
-            with _make_saver() as saver:
-                wt, rt, bb = _run_turns(turns, state_cls, saver)
-            results[turns][_freq_label(freq)] = (wt, rt, bb)
-
-    freq_labels = [_freq_label(f) for f in SNAPSHOT_FREQUENCIES]
-    col_w = 12
-
-    header = f"  {'turns':>6}  {'ctx':>10}" + "".join(
-        f"  {f'freq={freq_label}':>{col_w}}" for freq_label in freq_labels
-    )
-
-    print(f"\n  [{cp_label}] Storage (blob bytes) — lower is better")
-    print(header)
-    print("  " + "-" * (len(header) - 2))
-    for turns in SWEEP_TURN_COUNTS:
-        row = f"  {turns:>6}  {_approx_tokens(turns):>10}"
-        for label in freq_labels:
-            _, _, bb = results[turns][label]
-            row += f"  {_fmt_bytes(bb) if bb >= 0 else 'n/a':>{col_w}}"
-        print(row)
-
-    print(f"\n  [{cp_label}] Read latency (avg of 5 get_state) — lower is better")
-    print(header)
-    print("  " + "-" * (len(header) - 2))
-    for turns in SWEEP_TURN_COUNTS:
-        row = f"  {turns:>6}  {_approx_tokens(turns):>10}"
-        for label in freq_labels:
-            _, rt, _ = results[turns][label]
-            row += f"  {f'{rt * 1000:.1f}ms':>{col_w}}"
-        print(row)
-
-    print(
-        f"\n  [{cp_label}] Per-invoke write latency (total / turns) — lower is better"
-    )
-    print(header)
-    print("  " + "-" * (len(header) - 2))
-    for turns in SWEEP_TURN_COUNTS:
-        row = f"  {turns:>6}  {_approx_tokens(turns):>10}"
-        for label in freq_labels:
-            wt, _, _ = results[turns][label]
-            row += f"  {f'{(wt / turns) * 1000:.1f}ms':>{col_w}}"
-        print(row)
-
-
-def run_snapshot_freq_benchmark() -> None:
-    print()
-    print("Part 2 — DeltaChannel snapshot_frequency sweep")
-    print("Lower freq → fewer snapshots → less storage but deeper read replay")
-    print("=" * 80)
-    for cp_label, cp_hint in _checkpointers():
-        _run_sweep_for_checkpointer(cp_label, cp_hint)
-    print()
-    print("Legend:")
-    print(
-        "  freq=1    snapshot every write (full blob always — same as add_messages / BinOp)"
-    )
-    print("  freq=N    snapshot every N writes; read walks at most N ancestor writes")
-    print("  freq=inf  pure delta; read walks entire ancestor chain")
-    print()
-
-
-# ---------------------------------------------------------------------------
-# Pytest entry points
+# Pytest entry point
 # ---------------------------------------------------------------------------
 
 
 @pytest.mark.skip(
     reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
 )
-def test_delta_channel_baseline_benchmark(capsys: Any) -> None:
-    """DeltaChannel(inf) uses less storage than add_messages at scale."""
+def test_delta_channel_benchmark(capsys: Any) -> None:
+    """Manual benchmark — see module docstring."""
     with capsys.disabled():
-        run_baseline_benchmark()
-
-    for turns in [25, 50]:
-        _, _, b_bytes = _run_turns(turns, BinaryState)
-        _, _, d_bytes = _run_turns(turns, DeltaState)
-        assert d_bytes < b_bytes, (
-            f"DeltaChannel should use less storage at {turns} turns, "
-            f"got delta={d_bytes} binary={b_bytes}"
-        )
-
-
-@pytest.mark.skip(
-    reason="slow benchmark — run manually with: python tests/test_delta_channel_benchmark.py"
-)
-def test_snapshot_freq_benchmark(capsys: Any) -> None:
-    """snapshot_frequency trades storage for bounded read depth."""
-    with capsys.disabled():
-        run_snapshot_freq_benchmark()
-
-    # Correctness: results at all frequencies should agree on final state.
-    n_turns = 20
-    states: dict[str, list] = {}
-    for freq in SNAPSHOT_FREQUENCIES:
-        state_cls = _make_delta_state(freq)
-        graph = _make_graph(state_cls)
-        config = {"configurable": {"thread_id": "correctness"}}
-        for i in range(n_turns):
-            graph.invoke(
-                {"messages": [HumanMessage(content=_human_content(i), id=f"h{i}")]},
-                config,
-            )
-        state = graph.get_state(config)
-        states[_freq_label(freq)] = [m.id for m in state.values["messages"]]
-
-    ref = states["inf"]
-    for label, msg_ids in states.items():
-        assert msg_ids == ref, (
-            f"freq={label} produced different message IDs than freq=inf"
-        )
+        run_benchmark()
 
 
 # ---------------------------------------------------------------------------
 # Script entry point
 # ---------------------------------------------------------------------------
 
+
 if __name__ == "__main__":
-    run_baseline_benchmark()
-    run_snapshot_freq_benchmark()
+    print("DeltaChannel benchmark — multi-channel reads, mixed frequencies")
+    print("=" * 78)
+    run_benchmark()
     sys.exit(0)

libs/langgraph/tests/test_delta_channel_exit_mode.py

@@ -0,0 +1,372 @@
+"""Tests for exit-mode delta channel persistence redesign.
+
+Validates that `durability="exit"` correctly persists delta-channel writes
+using count-based snapshot decisions (rather than force-snapshotting every
+channel), lazy stub creation when no parent exists, and proper read-path
+reconstruction via ancestor walks.
+"""
+
+from typing import Annotated, Any
+
+import pytest
+from langchain_core.messages import AIMessage, HumanMessage
+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 START, StateGraph
+from langgraph.graph.message import _messages_delta_reducer
+
+pytestmark = pytest.mark.anyio
+
+
+def _build_graph(
+    checkpointer: InMemorySaver,
+    *,
+    freq: int = 1000,
+) -> Any:
+    channel = DeltaChannel(_messages_delta_reducer, snapshot_frequency=freq)
+    # Functional TypedDict form: class form can't reference `channel` (a
+    # local variable) inside Annotated due to forward-ref evaluation rules.
+    State = TypedDict("State", {"messages": Annotated[list, channel]})  # type: ignore[call-overload]  # noqa: UP013
+
+    def respond(state: dict) -> dict:
+        i = len(state["messages"])
+        return {"messages": [AIMessage(content=f"reply-{i}", id=f"ai{i}")]}
+
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    return builder.compile(checkpointer=checkpointer)
+
+
+# ---------------------------------------------------------------------------
+# 8a. Write-path / structural tests
+# ---------------------------------------------------------------------------
+
+
+async def test_exit_first_run_no_delta_writes() -> None:
+    """Graph with delta channel invoked with input that doesn't touch it.
+    Only one checkpoint row, no stub."""
+    State = TypedDict(  # noqa: UP013
+        "State",
+        {
+            "messages": Annotated[list, DeltaChannel(_messages_delta_reducer)],
+            "value": str,
+        },
+    )  # type: ignore[call-overload]
+
+    def noop(state: dict) -> dict:
+        return {"value": "done"}
+
+    saver = InMemorySaver()
+    builder = StateGraph(State)
+    builder.add_node("noop", noop)
+    builder.add_edge(START, "noop")
+    graph = builder.compile(checkpointer=saver)
+    config = {"configurable": {"thread_id": "no-delta-writes"}}
+
+    graph.invoke({"value": "start"}, config, durability="exit")
+
+    checkpoints = list(saver.list(config))
+    assert len(checkpoints) == 1
+    stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
+    assert len(stubs) == 0
+
+
+async def test_exit_first_run_all_snapshot() -> None:
+    """snapshot_frequency=1 forces every channel to snapshot.
+    No stub needed; final_checkpoint has _DeltaSnapshot."""
+    saver = InMemorySaver()
+    graph = _build_graph(saver, freq=1)
+    config = {"configurable": {"thread_id": "all-snapshot"}}
+
+    result = graph.invoke(
+        {"messages": [HumanMessage(content="hi", id="h1")]},
+        config,
+        durability="exit",
+    )
+    assert len(result["messages"]) == 2
+
+    checkpoints = list(saver.list(config))
+    stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
+    assert len(stubs) == 0
+
+    head = saver.get_tuple(config)
+    assert head is not None
+    assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
+
+    state = graph.get_state(config)
+    assert [m.content for m in state.values["messages"]] == ["hi", "reply-1"]
+
+
+async def test_exit_first_run_sub_freq_with_writes() -> None:
+    """First run with default snapshot_frequency (1000), writes below threshold.
+    A stub is created; writes are anchored under it; get_state reconstructs."""
+    saver = InMemorySaver()
+    graph = _build_graph(saver)
+    config = {"configurable": {"thread_id": "sub-freq-first"}}
+
+    result = graph.invoke(
+        {"messages": [HumanMessage(content="hello", id="h1")]},
+        config,
+        durability="exit",
+    )
+    assert [m.content for m in result["messages"]] == ["hello", "reply-1"]
+
+    checkpoints = list(saver.list(config))
+    stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
+    assert len(stubs) == 1, f"Expected 1 stub, got {len(stubs)}"
+
+    head = saver.get_tuple(config)
+    assert head is not None
+    assert "messages" not in head.checkpoint["channel_values"]
+    assert "messages" in head.checkpoint["channel_versions"]
+
+    state = graph.get_state(config)
+    assert [m.content for m in state.values["messages"]] == ["hello", "reply-1"]
+
+
+async def test_exit_resumed_run_sub_freq() -> None:
+    """Two consecutive exit runs. Second run anchors on the first's
+    final_checkpoint (no new stub). Ordering preserved."""
+    saver = InMemorySaver()
+    graph = _build_graph(saver)
+    config = {"configurable": {"thread_id": "resumed-sub-freq"}}
+
+    graph.invoke(
+        {"messages": [HumanMessage(content="msg1", id="h1")]},
+        config,
+        durability="exit",
+    )
+
+    graph.invoke(
+        {"messages": [HumanMessage(content="msg2", id="h2")]},
+        config,
+        durability="exit",
+    )
+
+    checkpoints = list(saver.list(config))
+    stubs = [t for t in checkpoints if t.metadata.get("step") == -2]
+    assert len(stubs) == 1
+
+    state = graph.get_state(config)
+    contents = [m.content for m in state.values["messages"]]
+    assert len(contents) == 4
+    assert contents[0] == "msg1"
+    assert contents[2] == "msg2"
+    assert contents[0:4:2] == ["msg1", "msg2"]
+
+
+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."""
+    for durability in ("sync", "exit"):
+        saver = InMemorySaver()
+        graph = _build_graph(saver)
+        config = {"configurable": {"thread_id": f"parity-{durability}"}}
+
+        graph.invoke(
+            {"messages": [HumanMessage(content="hi", id="h1")]},
+            config,
+            durability=durability,
+        )
+
+        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}"
+        )
+
+
+async def test_exit_snapshot_fires_at_frequency() -> None:
+    """With snapshot_frequency=3, after 3 exit runs (each incrementing count
+    by 2: input + superstep), the 2nd run hits count=4>=3, triggering snapshot.
+    After that run, count resets to 0 and channel_values has _DeltaSnapshot."""
+    saver = InMemorySaver()
+    graph = _build_graph(saver, freq=3)
+    config = {"configurable": {"thread_id": "snapshot-at-freq"}}
+
+    graph.invoke(
+        {"messages": [HumanMessage(content="m1", id="h1")]},
+        config,
+        durability="exit",
+    )
+    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
+
+    graph.invoke(
+        {"messages": [HumanMessage(content="m2", id="h2")]},
+        config,
+        durability="exit",
+    )
+    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}"
+    assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
+
+
+async def test_exit_mixed_snapshot_and_non_snapshot() -> None:
+    """One delta channel at freq=1 (always snapshot) and one at freq=1000
+    (never snapshot within this test). Verify correct behavior for both."""
+
+    fast_ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=1)
+    slow_ch = DeltaChannel(_messages_delta_reducer, snapshot_frequency=1000)
+    State = TypedDict(  # noqa: UP013
+        "State",
+        {"fast": Annotated[list, fast_ch], "slow": Annotated[list, slow_ch]},
+    )  # type: ignore[call-overload]
+
+    def respond(state: dict) -> dict:
+        return {
+            "fast": [AIMessage(content="fast-reply", id="f1")],
+            "slow": [AIMessage(content="slow-reply", id="s1")],
+        }
+
+    saver = InMemorySaver()
+    builder = StateGraph(State)
+    builder.add_node("respond", respond)
+    builder.add_edge(START, "respond")
+    graph = builder.compile(checkpointer=saver)
+    config = {"configurable": {"thread_id": "mixed-freq"}}
+
+    graph.invoke(
+        {
+            "fast": [HumanMessage(content="fast-in", id="fi")],
+            "slow": [HumanMessage(content="slow-in", id="si")],
+        },
+        config,
+        durability="exit",
+    )
+
+    head = saver.get_tuple(config)
+    assert head is not None
+    assert isinstance(head.checkpoint["channel_values"].get("fast"), _DeltaSnapshot)
+    assert "slow" not in head.checkpoint["channel_values"]
+
+    state = graph.get_state(config)
+    assert [m.content for m in state.values["fast"]] == ["fast-in", "fast-reply"]
+    assert [m.content for m in state.values["slow"]] == ["slow-in", "slow-reply"]
+
+
+# ---------------------------------------------------------------------------
+# 8b. Read-path tests
+# ---------------------------------------------------------------------------
+
+
+async def test_exit_multi_run_replay_chain() -> None:
+    """K=4 consecutive exit runs, each adding a message. After each run,
+    get_state returns all messages in chronological order."""
+    saver = InMemorySaver()
+    graph = _build_graph(saver)
+    config = {"configurable": {"thread_id": "replay-chain"}}
+
+    for i in range(4):
+        graph.invoke(
+            {"messages": [HumanMessage(content=f"user-{i}", id=f"h{i}")]},
+            config,
+            durability="exit",
+        )
+
+        state = graph.get_state(config)
+        contents = [m.content for m in state.values["messages"]]
+        user_msgs = [c for c in contents if c.startswith("user-")]
+        assert user_msgs == [f"user-{j}" for j in range(i + 1)], (
+            f"After run {i}: user messages out of order: {user_msgs}"
+        )
+        assert len(contents) == (i + 1) * 2
+
+
+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."""
+    freq = 5
+    saver = InMemorySaver()
+    graph = _build_graph(saver, freq=freq)
+    config = {"configurable": {"thread_id": "metadata-rt"}}
+
+    for i in range(1, 6):
+        graph.invoke(
+            {"messages": [HumanMessage(content=f"m{i}", id=f"h{i}")]},
+            config,
+            durability="exit",
+        )
+        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]
+        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"
+            )
+        else:
+            assert updates == cumulative, (
+                f"After run {i}: expected {cumulative}, got {updates}"
+            )
+
+
+async def test_exit_mixed_durability_round_trip() -> None:
+    """Alternate sync and exit durability; verify counts stay monotonic
+    and state accumulates correctly."""
+    saver = InMemorySaver()
+    graph = _build_graph(saver)
+    config = {"configurable": {"thread_id": "mixed-durability"}}
+
+    for i, dur in enumerate(["sync", "exit", "sync", "exit"]):
+        graph.invoke(
+            {"messages": [HumanMessage(content=f"msg-{i}", id=f"h{i}")]},
+            config,
+            durability=dur,
+        )
+
+        state = graph.get_state(config)
+        contents = [m.content for m in state.values["messages"]]
+        user_msgs = [c for c in contents if c.startswith("msg-")]
+        assert user_msgs == [f"msg-{j}" for j in range(i + 1)], (
+            f"After run {i} (durability={dur}): {user_msgs}"
+        )
+        assert len(contents) == (i + 1) * 2
+
+
+async def test_exit_snapshot_then_tail_deltas() -> None:
+    """Run 1 forces snapshot (freq=1). Run 2 at freq=1000 adds more writes
+    that don't snapshot. Reading after run 2 must combine the snapshot seed
+    with the tail deltas."""
+    saver = InMemorySaver()
+
+    graph1 = _build_graph(saver, freq=1)
+    config = {"configurable": {"thread_id": "snapshot-then-tail"}}
+    graph1.invoke(
+        {"messages": [HumanMessage(content="seed-msg", id="h1")]},
+        config,
+        durability="exit",
+    )
+
+    head = saver.get_tuple(config)
+    assert head is not None
+    assert isinstance(head.checkpoint["channel_values"].get("messages"), _DeltaSnapshot)
+
+    graph2 = _build_graph(saver, freq=1000)
+    graph2.invoke(
+        {"messages": [HumanMessage(content="tail-msg", id="h2")]},
+        config,
+        durability="exit",
+    )
+
+    state = graph2.get_state(config)
+    contents = [m.content for m in state.values["messages"]]
+    assert "seed-msg" in contents
+    assert "tail-msg" in contents
+    assert contents.index("seed-msg") < contents.index("tail-msg")

libs/langgraph/tests/test_delta_channel_id_stability.py

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