feat(langgraph): run the cancel handler only for RunCancelled cancels

Plain cancels, like asyncio timeouts, task groups stopping siblings or a process shutting down, skip the handler so the run can be resumed as is.
feat(langgraph): run a cancel handler when an async run is cancelled
2026-11-06 22:31:17 +01:00 · 2026-11-06 11:28:12 -05:00 · 2026-11-06 11:09:01 -05:00 · 2026-11-06 15:25:10 +00:00 · 2026-11-05 22:00:30 -05:00 · 2026-11-05 22:00:26 -05:00
23 changed files with 2191 additions and 277 deletions
@@ -86,6 +86,71 @@ langgraph dockerfile SAVE_PATH [OPTIONS]
  -c, --config FILE       Config file path
 ```

+### `langgraph deploy metrics`
+
+Fetch deployment monitoring time series as JSON through the LangSmith control plane.
+Use `langgraph deploy list` to find the deployment ID. Authentication uses the same
+API key and workspace configuration as the other deployment commands.
+
+```bash
+langgraph deploy metrics DEPLOYMENT_ID \
+  --start-time 2026-10-28T00:00:00Z \
+  --end-time 2026-10-28T01:00:00Z \
+  --metrics cpu_usage,memory_usage,worker_count
+```
+
+`--metrics` accepts a comma-separated list of these names (also listed in
+`langgraph deploy metrics --help`):
+
+- Resource usage: `memory_usage`, `cpu_usage`, `disk_usage`
+- Counts: `restart_count`, `replica_count`, `worker_count`, `lg_run_count`
+- HTTP traffic: `responses_per_second`, `error_responses_per_second`, `p95_latency`
+- Queue: `run_queue_wait_time`
+
+These are exact metric names, not free-text search terms. Availability depends on
+the deployment and platform; a supported metric may have no data. Use
+`lg_run_count` for deployment runs, not the UI schema's placeholder `run_count`.
+
+Omit `--metrics` to fetch all available metrics. Time bounds default to the last
+15 minutes, and the backend picks the resolution from the time
+range. This command never prompts; for an organization-scoped key, set
+`LANGSMITH_TENANT_ID` to the workspace ID.
+
+Default output is compact JSON grouped by section title, chart title, and series
+name. Each series contains its real `project_metric` as `metric`, inferred `unit`
+(`percent`, `count`, or `null`), `latest`, `min`, `max`, `avg`, and
+`points: [[iso_timestamp, value], ...]`. Values are rounded to three decimals;
+statistics use unrounded finite values and ignore missing samples. `latest` is
+the latest non-missing value. Missing samples remain `null` gaps, and series with
+no values have null statistics. Empty sections are marked `{"_empty":true}`.
+
+The top level includes `deployment_id`, `start_time`, `end_time`, and
+`step_seconds`. Bounds always describe the requested window, not the observed
+point bounds. The CLI resolves omitted bounds once: end defaults to now (UTC),
+and start defaults to 15 minutes before the resolved end. With only `--end-time`,
+start is 15 minutes before that value; with only `--start-time`, end is now. Both
+values are sent explicitly to the backend and output, even when there are no points. `step_seconds` is the most common gap between consecutive
+timestamps within series, with ties broken by the smallest gap. Whole seconds
+are integers; fractional seconds are preserved. It is `null` only when every
+series has fewer than two timestamps. UI metadata and repeated series IDs are
+omitted. The host-backend response itself is unchanged.
+
+```bash
+langgraph deploy metrics DEPLOYMENT_ID --summary
+langgraph deploy metrics DEPLOYMENT_ID --raw
+```
+
+`--summary` returns the same shape without `points`. `--raw` returns the original
+UI chart schema without reshaping or rounding. These flags are mutually exclusive.
+Neither mode returns traces.
+
+Size comparison using the realistic synthetic unit-test fixture (compact JSON
+serialization for all modes; not a live deployment benchmark):
+
+| Before: raw UI schema | After: default | After: summary |
+| --- | --- | --- |
+| 4,302 bytes | 1,226 bytes (72% smaller) | 806 bytes (81% smaller) |
+
 ## Configuration

 The CLI uses a `langgraph.json` configuration file with these key settings:
@@ -1 +1 @@
-__version__ = "0.4.41"
+__version__ = "0.4.42"
@@ -11,8 +11,9 @@ import time
 from collections.abc import Callable, Mapping, Sequence
 from contextlib import contextmanager
 from dataclasses import asdict, dataclass, field
-from datetime import datetime, timezone
+from datetime import datetime, timedelta, timezone
 from typing import Generic, Protocol, TypeVar
+from uuid import UUID

 import click
 import click.exceptions
@@ -23,6 +24,7 @@ from langgraph_cli.analytics import log_command
 from langgraph_cli.config import Config
 from langgraph_cli.constants import DEFAULT_CONFIG
 from langgraph_cli.dependency_tracking import find_tracked_packages
+from langgraph_cli.deployment_metrics import compact_deployment_metrics
 from langgraph_cli.docker import build_docker_image, can_build_locally
 from langgraph_cli.exec import CommandRunner, Runner, subp_exec
 from langgraph_cli.host_backend import (
@@ -2634,6 +2636,81 @@ def deploy_list(
 # ---------------------------------------------------------------------------


+@OPT_HOST_API_KEY
+@OPT_HOST_URL
+@click.argument("deployment_id", type=click.UUID)
+@click.option(
+    "--start-time",
+    help="ISO8601 start time. Defaults to 15 minutes before --end-time.",
+)
+@click.option("--end-time", help="ISO8601 end time. Defaults to now.")
+@click.option(
+    "--metrics",
+    help=(
+        "Comma-separated metric names. Defaults to all metrics. Supported names: "
+        "memory_usage, cpu_usage, disk_usage, restart_count, replica_count, "
+        "worker_count, lg_run_count, responses_per_second, "
+        "error_responses_per_second, p95_latency, run_queue_wait_time. "
+        "Availability depends on the deployment and platform."
+    ),
+)
+@click.option(
+    "--summary", is_flag=True, help="Omit points and print per-series statistics only."
+)
+@click.option(
+    "--raw", is_flag=True, help="Print the original host-backend chart schema."
+)
+@deploy.command(
+    "metrics", help="[Beta] Fetch deployment monitoring time series as compact JSON."
+)
+def deploy_metrics(
+    api_key: str | None,
+    host_url: str | None,
+    deployment_id: UUID,
+    start_time: str | None,
+    end_time: str | None,
+    metrics: str | None,
+    summary: bool,
+    raw: bool,
+) -> None:
+    if summary and raw:
+        raise click.UsageError("--summary and --raw are mutually exclusive.")
+    end_time = end_time or datetime.now(timezone.utc).isoformat()
+    if start_time is None:
+        try:
+            end = datetime.fromisoformat(end_time.replace("Z", "+00:00"))
+        except ValueError as exc:
+            raise click.BadParameter(
+                "Expected an ISO8601 timestamp.", param_hint="--end-time"
+            ) from exc
+        end = end.replace(tzinfo=end.tzinfo or timezone.utc).astimezone(timezone.utc)
+        start_time = (end - timedelta(minutes=15)).isoformat()
+    params = {
+        key: value
+        for key, value in {
+            "start_time": start_time,
+            "end_time": end_time,
+            "metrics": metrics,
+        }.items()
+        if value is not None
+    }
+    client = _create_host_backend_client(host_url, api_key, no_input=True)
+    result = _call_host_backend_with_optional_tenant(
+        client,
+        lambda c: c.get_deployment_metrics(str(deployment_id), params),
+        no_input=True,
+    )
+    if not raw:
+        result = compact_deployment_metrics(
+            result,
+            str(deployment_id),
+            start_time=start_time,
+            end_time=end_time,
+            summary=summary,
+        )
+    click.echo(json_mod.dumps(result, separators=(",", ":")))
+
+
@deploy.group(
    "listeners",
    cls=NestedHelpGroup,
@@ -0,0 +1,95 @@
+"""Compact deployment chart responses for command-line consumers."""
+
+import math
+from collections import Counter, defaultdict
+from datetime import datetime, timezone
+from statistics import fmean
+from typing import Any
+
+
+def _timestamp(value: str) -> datetime:
+    timestamp = datetime.fromisoformat(value.replace("Z", "+00:00"))
+    return timestamp.replace(tzinfo=timestamp.tzinfo or timezone.utc).astimezone(
+        timezone.utc
+    )
+
+
+def _iso(value: datetime) -> str:
+    return value.isoformat().replace("+00:00", "Z")
+
+
+def _unit(title: str, metric: str | None) -> str | None:
+    if "%" in title:
+        return "percent"
+    if metric in {
+        "restart_count",
+        "replica_count",
+        "worker_count",
+        "lg_run_count",
+        "run_count",
+    }:
+        return "count"
+    return None
+
+
+def compact_deployment_metrics(
+    response: dict[str, Any],
+    deployment_id: str,
+    *,
+    start_time: str,
+    end_time: str,
+    summary: bool = False,
+) -> dict[str, Any]:
+    """Reshape UI charts without mutating the response; step is in seconds."""
+    sections = {}
+    spacings: Counter[float] = Counter()
+    source_sections = list(response.get("sub_sections") or [])
+    if response.get("charts"):
+        source_sections.insert(0, response)
+    for section in source_sections:
+        charts = {}
+        for chart in section.get("charts") or []:
+            by_series = defaultdict(list)
+            for point in chart.get("data") or []:
+                timestamp = _timestamp(point["timestamp"])
+                value = point.get("value")
+                if value is not None and not math.isfinite(value):
+                    value = None
+                by_series[point["series_id"]].append((timestamp, value))
+            series_output = {}
+            for series in chart.get("series") or []:
+                points = sorted(by_series[series["id"]], key=lambda point: point[0])
+                times = sorted({timestamp for timestamp, _ in points})
+                spacings.update(
+                    (b - a).total_seconds()
+                    for a, b in zip(times, times[1:], strict=False)
+                )
+                values = [value for _, value in points if value is not None]
+                metric = series.get("project_metric")
+                stats = {
+                    "metric": metric,
+                    "unit": _unit(chart["title"], metric),
+                    "latest": round(values[-1], 3) if values else None,
+                    "min": round(min(values), 3) if values else None,
+                    "max": round(max(values), 3) if values else None,
+                    "avg": round(fmean(values), 3) if values else None,
+                }
+                if not summary:
+                    stats["points"] = [
+                        [
+                            _iso(timestamp),
+                            round(value, 3) if value is not None else None,
+                        ]
+                        for timestamp, value in points
+                    ]
+                series_output[series["name"]] = stats
+            charts[chart["title"]] = series_output or {"_empty": True}
+        sections[section["title"]] = charts or {"_empty": True}
+    step = min(spacings, key=lambda gap: (-spacings[gap], gap)) if spacings else None
+    return {
+        "deployment_id": deployment_id,
+        "start_time": start_time,
+        "end_time": end_time,
+        "step_seconds": int(step) if step is not None and step.is_integer() else step,
+        "sections": sections or {"_empty": True},
+    }
@@ -362,6 +362,13 @@ class HostBackendClient:
            f"/v2/deployments/{deployment_id}/revisions/{revision_id}",
        )

+    def get_deployment_metrics(
+        self, deployment_id: str, params: dict[str, Any]
+    ) -> dict[str, Any]:
+        return self._request(
+            "GET", f"/v2/deployments/{deployment_id}/metrics", params=params
+        )
+
    def get_build_logs(
        self, project_id: str, revision_id: str, payload: dict[str, Any]
    ) -> Any:
@@ -0,0 +1,166 @@
+import json
+from datetime import datetime, timezone
+
+import httpx
+import pytest
+from click.testing import CliRunner
+
+import langgraph_cli.deploy as deploy_module
+from langgraph_cli.cli import cli
+from langgraph_cli.deployment_metrics import compact_deployment_metrics
+from langgraph_cli.host_backend import HostBackendClient
+
+DEPLOYMENT_ID = "019a0000-0000-7000-8000-000000000001"
+
+
+def invoke(monkeypatch, args, handler, input=None):
+    client = HostBackendClient(
+        "https://api.example.com",
+        "key",
+        tenant_id="workspace-id",
+        transport=httpx.MockTransport(handler),
+    )
+    monkeypatch.setattr(deploy_module, "HostBackendClient", lambda *a, **kw: client)
+    return CliRunner().invoke(
+        cli,
+        ["deploy", *args, "--api-key", "key"],
+        input=input,
+    )
+
+
+@pytest.mark.parametrize(
+    "bounds", [[], ["start_time"], ["end_time"], ["start_time", "end_time"]]
+)
+@pytest.mark.parametrize("mode", [None, "--summary", "--raw"])
+def test_metrics(monkeypatch, bounds, mode, deployment_metrics_response):
+    charts = deployment_metrics_response
+
+    class FrozenDatetime(datetime):
+        @classmethod
+        def now(cls, tz=None):
+            return cls(2026, 10, 28, 23, 2, 33, tzinfo=timezone.utc)
+
+    monkeypatch.setattr(deploy_module, "datetime", FrozenDatetime)
+    explicit = {
+        "start_time": "2026-10-27T22:32:33Z",
+        "end_time": "2026-10-28T21:32:33Z",
+    }
+    options = {key: explicit[key] for key in bounds}
+    if bounds:
+        options["metrics"] = "cpu_usage,memory_usage"
+    params = {
+        "start_time": (
+            "2026-10-28T21:17:33+00:00"
+            if "end_time" in bounds
+            else "2026-10-28T22:47:33+00:00"
+        ),
+        "end_time": "2026-10-28T23:02:33+00:00",
+        **options,
+    }
+
+    def handler(request):
+        assert request.method == "GET"
+        assert request.url.path == f"/v2/deployments/{DEPLOYMENT_ID}/metrics"
+        assert dict(request.url.params) == params
+        assert request.headers["x-tenant-id"] == "workspace-id"
+        assert request.headers["x-api-key"] == "key"
+        return httpx.Response(200, json=charts)
+
+    args = ["metrics", DEPLOYMENT_ID]
+    for key, value in options.items():
+        args.extend([f"--{key.replace('_', '-')}", value])
+    if mode:
+        args.append(mode)
+    result = invoke(monkeypatch, args, handler)
+    assert result.exit_code == 0, result.output
+    expected = (
+        charts
+        if mode == "--raw"
+        else compact_deployment_metrics(
+            charts,
+            DEPLOYMENT_ID,
+            start_time=params.get("start_time"),
+            end_time=params.get("end_time"),
+            summary=mode == "--summary",
+        )
+    )
+    assert json.loads(result.output) == expected
+    if mode != "--raw":
+        assert expected["start_time"] == params["start_time"]
+        assert expected["end_time"] == params["end_time"]
+    assert result.output.strip() == json.dumps(expected, separators=(",", ":"))
+
+
+@pytest.mark.parametrize(
+    "args",
+    [
+        ["metrics", DEPLOYMENT_ID, "--step-seconds", "60"],
+        ["metrics", "invalid-id"],
+        ["metrics", DEPLOYMENT_ID, "--summary", "--raw"],
+    ],
+)
+def test_invalid_options_do_not_send_requests(monkeypatch, args):
+    def handler(request):
+        pytest.fail("Invalid options must not send a request")
+
+    result = invoke(monkeypatch, args, handler)
+    assert result.exit_code == 2, result.output
+
+
+def test_end_only_with_timezone_offset(monkeypatch):
+    def handler(request):
+        assert request.url.params["end_time"] == "2026-10-28T01:05:00+02:00"
+        assert request.url.params["start_time"] == "2026-10-27T22:50:00+00:00"
+        return httpx.Response(200, json={"charts": [], "sub_sections": []})
+
+    result = invoke(
+        monkeypatch,
+        ["metrics", DEPLOYMENT_ID, "--end-time", "2026-10-28T01:05:00+02:00"],
+        handler,
+    )
+    assert result.exit_code == 0, result.output
+    output = json.loads(result.output)
+    assert output["start_time"] == "2026-10-27T22:50:00+00:00"
+    assert output["end_time"] == "2026-10-28T01:05:00+02:00"
+
+
+def test_invalid_end_only_does_not_send_request(monkeypatch):
+    def handler(request):
+        pytest.fail("Invalid end time must not send a request")
+
+    result = invoke(
+        monkeypatch, ["metrics", DEPLOYMENT_ID, "--end-time", "not-a-date"], handler
+    )
+    assert result.exit_code == 2, result.output
+    assert "--end-time" in result.output
+    assert "ISO8601" in result.output
+
+
+def test_metrics_help_lists_supported_filters():
+    result = CliRunner().invoke(cli, ["deploy", "metrics", "--help"])
+    assert result.exit_code == 0, result.output
+    for metric in (
+        "memory_usage",
+        "cpu_usage",
+        "disk_usage",
+        "restart_count",
+        "replica_count",
+        "worker_count",
+        "lg_run_count",
+        "responses_per_second",
+        "error_responses_per_second",
+        "p95_latency",
+        "run_queue_wait_time",
+    ):
+        assert metric in result.output
+
+
+@pytest.mark.parametrize("status", [403, 422, 429])
+def test_backend_errors(monkeypatch, status):
+    def handler(request):
+        return httpx.Response(status, json={"detail": "Operation rejected"})
+
+    args = ["metrics", DEPLOYMENT_ID]
+    result = invoke(monkeypatch, args, handler)
+    assert result.exit_code == 1
+    assert "Operation rejected" in result.output
@@ -1,9 +1,16 @@
+import json
 import os
+from pathlib import Path
 from unittest.mock import patch

 import pytest


+@pytest.fixture
+def deployment_metrics_response():
+    return json.loads(Path(__file__).with_name("deployment_metrics.json").read_text())
+
+
@pytest.fixture(autouse=True)
 def disable_analytics_env() -> None:
    """Disable analytics for unit tests LANGGRAPH_CLI_NO_ANALYTICS."""
@@ -0,0 +1,215 @@
+{
+  "id": "019a0000-0000-7000-8000-000000000001-metrics",
+  "title": "Metrics for deployment",
+  "charts": [],
+  "sub_sections": [
+    {
+      "id": "019a0000-0000-7000-8000-000000000001-queue",
+      "title": "Queue",
+      "description": "Queue metrics",
+      "index": 0,
+      "charts": [
+        {
+          "id": "019a0000-0000-7000-8000-000000000001-Memory Usage %",
+          "title": "Memory Usage %",
+          "description": "Resource usage over time",
+          "index": 0,
+          "chart_type": "line",
+          "series": [
+            {
+              "id": "019a0000-0000-7000-8000-000000000001-Avg Memory Usage %",
+              "name": "Avg Memory Usage %",
+              "metric": "run_count",
+              "project_metric": "memory_usage",
+              "metadata": null,
+              "filters": null,
+              "feedback_key": null,
+              "workspace_id": null,
+              "metric_definition": null,
+              "group_by_definitions": null,
+              "filter_definition": null,
+              "group_by": null
+            },
+            {
+              "id": "019a0000-0000-7000-8000-000000000001-Max Memory Usage %",
+              "name": "Max Memory Usage %",
+              "metric": "run_count",
+              "project_metric": "memory_usage",
+              "metadata": null,
+              "filters": null,
+              "feedback_key": null,
+              "workspace_id": null,
+              "metric_definition": null,
+              "group_by_definitions": null,
+              "filter_definition": null,
+              "group_by": null
+            }
+          ],
+          "data": [
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Max Memory Usage %",
+              "timestamp": "2026-10-28T00:02:00+00:00",
+              "value": 50.33333,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Max Memory Usage %",
+              "timestamp": "2026-10-28T00:01:00+00:00",
+              "value": 40.22222,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Max Memory Usage %",
+              "timestamp": "2026-10-28T00:00:00+00:00",
+              "value": 30.11111,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Avg Memory Usage %",
+              "timestamp": "2026-10-28T00:02:00+00:00",
+              "value": null,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Avg Memory Usage %",
+              "timestamp": "2026-10-28T00:01:00+00:00",
+              "value": 20.23456,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Avg Memory Usage %",
+              "timestamp": "2026-10-28T00:00:00+00:00",
+              "value": 10.12345,
+              "group": null
+            }
+          ]
+        },
+        {
+          "id": "019a0000-0000-7000-8000-000000000001-Restarts",
+          "title": "Restarts",
+          "description": "Resource usage over time",
+          "index": 0,
+          "chart_type": "line",
+          "series": [
+            {
+              "id": "019a0000-0000-7000-8000-000000000001-Restarts",
+              "name": "Restarts",
+              "metric": "run_count",
+              "project_metric": "restart_count",
+              "metadata": null,
+              "filters": null,
+              "feedback_key": null,
+              "workspace_id": null,
+              "metric_definition": null,
+              "group_by_definitions": null,
+              "filter_definition": null,
+              "group_by": null
+            }
+          ],
+          "data": [
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Restarts",
+              "timestamp": "2026-10-28T00:02:00+00:00",
+              "value": 2,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Restarts",
+              "timestamp": "2026-10-28T00:01:00+00:00",
+              "value": 1,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-Restarts",
+              "timestamp": "2026-10-28T00:00:00+00:00",
+              "value": 0,
+              "group": null
+            }
+          ]
+        },
+        {
+          "id": "019a0000-0000-7000-8000-000000000001-Queue wait time",
+          "title": "Queue wait time",
+          "description": "Resource usage over time",
+          "index": 0,
+          "chart_type": "line",
+          "series": [
+            {
+              "id": "019a0000-0000-7000-8000-000000000001-Queue wait time",
+              "name": "Queue wait time",
+              "metric": "run_count",
+              "project_metric": "run_queue_wait_time",
+              "metadata": null,
+              "filters": null,
+              "feedback_key": null,
+              "workspace_id": null,
+              "metric_definition": null,
+              "group_by_definitions": null,
+              "filter_definition": null,
+              "group_by": null
+            }
+          ],
+          "data": []
+        }
+      ]
+    },
+    {
+      "id": "019a0000-0000-7000-8000-000000000001-api",
+      "title": "API",
+      "description": "API metrics",
+      "index": 1,
+      "charts": [
+        {
+          "id": "019a0000-0000-7000-8000-000000000001-Latency",
+          "title": "Latency",
+          "description": "Resource usage over time",
+          "index": 0,
+          "chart_type": "line",
+          "series": [
+            {
+              "id": "019a0000-0000-7000-8000-000000000001-P95 Latency",
+              "name": "P95 Latency",
+              "metric": "run_count",
+              "project_metric": "p95_latency",
+              "metadata": null,
+              "filters": null,
+              "feedback_key": null,
+              "workspace_id": null,
+              "metric_definition": null,
+              "group_by_definitions": null,
+              "filter_definition": null,
+              "group_by": null
+            }
+          ],
+          "data": [
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-P95 Latency",
+              "timestamp": "2026-10-28T00:02:00+00:00",
+              "value": 0.34567,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-P95 Latency",
+              "timestamp": "2026-10-28T00:01:00+00:00",
+              "value": 0.23456,
+              "group": null
+            },
+            {
+              "series_id": "019a0000-0000-7000-8000-000000000001-P95 Latency",
+              "timestamp": "2026-10-28T00:00:00+00:00",
+              "value": 0.12345,
+              "group": null
+            }
+          ]
+        }
+      ]
+    },
+    {
+      "id": "019a0000-0000-7000-8000-000000000001-pg",
+      "title": "Postgres",
+      "description": "Postgres metrics",
+      "index": 2,
+      "charts": []
+    }
+  ]
+}
@@ -0,0 +1,139 @@
+from copy import deepcopy
+
+import pytest
+
+from langgraph_cli.deployment_metrics import compact_deployment_metrics
+
+
+def reshape(response, deployment_id, **kwargs):
+    return compact_deployment_metrics(
+        response,
+        deployment_id,
+        start_time=kwargs.pop("start_time", "2026-10-28T00:00:00Z"),
+        end_time=kwargs.pop("end_time", "2026-10-28T01:00:00Z"),
+        **kwargs,
+    )
+
+
+def test_compact_metrics(deployment_metrics_response):
+    original = deepcopy(deployment_metrics_response)
+    result = reshape(deployment_metrics_response, "deployment-id")
+    assert deployment_metrics_response == original
+    assert result["deployment_id"] == "deployment-id"
+    assert result["start_time"] == "2026-10-28T00:00:00Z"
+    assert result["end_time"] == "2026-10-28T01:00:00Z"
+    assert result["step_seconds"] == 60
+    assert result["sections"]["Postgres"] == {"_empty": True}
+    queue = result["sections"]["Queue"]
+    memory = queue["Memory Usage %"]
+    assert memory["Avg Memory Usage %"] == {
+        "metric": "memory_usage",
+        "unit": "percent",
+        "latest": 20.235,
+        "min": 10.123,
+        "max": 20.235,
+        "avg": 15.179,
+        "points": [
+            ["2026-10-28T00:00:00Z", 10.123],
+            ["2026-10-28T00:01:00Z", 20.235],
+            ["2026-10-28T00:02:00Z", None],
+        ],
+    }
+    assert memory["Max Memory Usage %"]["max"] == 50.333
+    assert queue["Restarts"]["Restarts"]["unit"] == "count"
+    assert queue["Queue wait time"]["Queue wait time"] == {
+        "metric": "run_queue_wait_time",
+        "unit": None,
+        "latest": None,
+        "min": None,
+        "max": None,
+        "avg": None,
+        "points": [],
+    }
+    assert result["sections"]["API"]["Latency"]["P95 Latency"]["unit"] is None
+
+
+def test_summary_and_requested_bounds(deployment_metrics_response):
+    result = reshape(
+        deployment_metrics_response,
+        "id",
+        start_time="2026-10-27T23:00:00Z",
+        end_time="2026-10-28T01:00:00Z",
+        summary=True,
+    )
+    assert result["start_time"] == "2026-10-27T23:00:00Z"
+    assert result["end_time"] == "2026-10-28T01:00:00Z"
+    for section in result["sections"].values():
+        if section == {"_empty": True}:
+            continue
+        for chart in section.values():
+            for series in chart.values():
+                assert set(series) == {"metric", "unit", "latest", "min", "max", "avg"}
+
+
+@pytest.mark.parametrize("values", [[], [None], [float("nan"), float("inf")]])
+def test_empty_and_nonfinite_values(deployment_metrics_response, values):
+    chart = deployment_metrics_response["sub_sections"][0]["charts"][0]
+    chart["series"] = chart["series"][:1]
+    chart["data"] = [
+        {
+            "series_id": chart["series"][0]["id"],
+            "timestamp": f"2026-10-28T00:0{i}:00Z",
+            "value": value,
+        }
+        for i, value in enumerate(values)
+    ]
+    result = reshape(deployment_metrics_response, "id")
+    series = result["sections"]["Queue"]["Memory Usage %"]["Avg Memory Usage %"]
+    assert all(series[key] is None for key in ["latest", "min", "max", "avg"])
+    assert all(point[1] is None for point in series["points"])
+
+
+def test_tied_spacing_and_top_level_charts(deployment_metrics_response):
+    response = deployment_metrics_response
+    chart = response["sub_sections"][1]["charts"][0]
+    chart["data"][0]["timestamp"] = "2026-10-28T00:02:30Z"
+    response["charts"] = [chart]
+    response["sub_sections"] = []
+    result = reshape(response, "id")
+    assert result["step_seconds"] == 60
+    assert "Latency" in result["sections"][response["title"]]
+
+
+def test_missing_point_preserves_common_spacing(deployment_metrics_response):
+    chart = deployment_metrics_response["sub_sections"][0]["charts"][0]
+    series_id = chart["series"][0]["id"]
+    chart["data"] = [
+        point
+        for point in chart["data"]
+        if not (point["series_id"] == series_id and "00:01:00" in point["timestamp"])
+    ]
+    result = reshape(deployment_metrics_response, "id")
+    assert result["step_seconds"] == 60
+    assert type(result["step_seconds"]) is int
+
+
+def test_only_single_point_and_empty_series(deployment_metrics_response):
+    for section in deployment_metrics_response["sub_sections"]:
+        for chart in section["charts"]:
+            chart["data"] = chart["data"][:1]
+    assert reshape(deployment_metrics_response, "id")["step_seconds"] is None
+
+
+def test_fractional_spacing(deployment_metrics_response):
+    chart = deployment_metrics_response["sub_sections"][1]["charts"][0]
+    chart["data"][0]["timestamp"] = "2026-10-28T00:00:01Z"
+    chart["data"][1]["timestamp"] = "2026-10-28T00:00:00.500Z"
+    deployment_metrics_response["sub_sections"] = []
+    deployment_metrics_response["charts"] = [chart]
+    assert reshape(deployment_metrics_response, "id")["step_seconds"] == 0.5
+
+
+def test_no_data():
+    assert reshape({"charts": [], "sub_sections": []}, "id") == {
+        "deployment_id": "id",
+        "start_time": "2026-10-28T00:00:00Z",
+        "end_time": "2026-10-28T01:00:00Z",
+        "step_seconds": None,
+        "sections": {"_empty": True},
+    }
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+resolution-markers = [
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+version = "4.2.9"
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+resolution-markers = [
+    "python_full_version >= '3.15'",
+    "python_full_version >= '3.12' and python_full_version < '3.15' and sys_platform == 'emscripten'",
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 [[package]]
@@ -1043,9 +1060,10 @@ wheels = [

 [[package]]
 name = "langgraph-api"
-version = "0.10.0"
+version = "0.17.1"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
+    { name = "anyio" },
    { name = "cloudpickle" },
    { name = "cryptography" },
    { name = "grpcio" },
@@ -1063,8 +1081,10 @@ dependencies = [
    { name = "langsmith", extra = ["otel"] },
    { name = "opentelemetry-api" },
    { name = "opentelemetry-exporter-otlp-proto-http" },
+    { name = "opentelemetry-exporter-prometheus" },
    { name = "opentelemetry-sdk" },
    { name = "orjson" },
+    { name = "prometheus-client" },
    { name = "protobuf" },
    { name = "pyjwt" },
    { name = "sse-starlette" },
@@ -1079,9 +1099,9 @@ dependencies = [
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-    { name = "filelock" },
+    { name = "filelock", version = "4.1.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
+    { name = "filelock", version = "4.2.9", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
    { name = "packaging" },
    { name = "platformdirs" },
    { name = "python-discovery" },
@@ -26,6 +26,7 @@ __all__ = (
    "NodeInterrupt",
    "NodeTimeoutError",
    "ParentCommand",
+    "RunCancelled",
    "EmptyInputError",
    "TaskNotFound",
    "UnknownInterruptError",
@@ -164,8 +165,9 @@ class UnknownInterruptError(Exception):
    A single value with no interrupt pending is accepted, because it resumes a
    graph paused at a static breakpoint (`interrupt_before` or `interrupt_after`).

-    The interrupts one task raises share an id, so an answer retried after the
-    task asked its next question answers that question.
+    Each `interrupt()` call in a task has its own id, so an answer retried after
+    the task asked its next question is refused instead of answering that
+    question.
    """

    reason: Literal["not_pending", "empty_map", "ambiguous"]
@@ -206,6 +208,25 @@ class NodeError:
    """Exception raised by the failed node."""


+class RunCancelled(Exception):
+    """Cancel message that asks the graph to run its cancel handler.
+
+    Pass an instance to `task.cancel()` on the task running the graph. A cancel
+    without one, such as `asyncio.timeout`, a task group stopping siblings, or a
+    process shutting down, skips the handler, so the run can be resumed as is.
+
+    Example:
+        ```python
+        run = asyncio.create_task(graph.ainvoke(inputs, config))
+        run.cancel(RunCancelled("user stop"))
+        ```
+    """
+
+    run_cancel_handler: bool = True
+    """Set to `False` in a subclass whose cancels should skip the handler, such as
+    a rollback that deletes the run."""
+
+
 class NodeCancelledError(Exception):
    """Raised when a node body raises ``asyncio.CancelledError`` itself.

@@ -77,6 +77,7 @@ from langgraph.pregel._write import (
    ChannelWriteEntry,
    ChannelWriteTupleEntry,
 )
+from langgraph.runtime import Runtime
 from langgraph.types import (
    All,
    CachePolicy,
@@ -264,6 +265,8 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
        self.context_schema = context_schema

        self._node_defaults: _NodeDefaults = _NodeDefaults()
+        self._cancel_handler: Callable[[Any, Runtime[ContextT]], Any] | None = None
+        self._cancel_timeout = 5.0

        self._add_schema(self.state_schema)
        self._add_schema(self.input_schema, allow_managed=False)
@@ -334,6 +337,41 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
            defaults.timeout = coerce_timeout_policy(timeout)
        return self

+    def set_cancel_handler(
+        self,
+        handler: Callable[[StateT, Runtime[ContextT]], Any],
+        *,
+        timeout: float = 5.0,
+    ) -> Self:
+        """Set a handler that runs once when an async run of this graph is cancelled.
+
+        A cancelled node never reaches its `error_handler`, so state can be left
+        mid-step, for example an AI message whose tool call never got a result.
+        After the cancelled run finishes saving, the handler gets the latest state
+        and the run's `Runtime`. A returned update is saved with `update_state`,
+        then the cancellation propagates.
+
+        The handler runs only when the cancel message is a `RunCancelled`, as in
+        `task.cancel(RunCancelled("user stop"))`. Plain cancels, like `asyncio.timeout`
+        or a process shutting down, skip it so the run can be resumed as is.
+
+        Only top-level async runs with a checkpointer call the handler. It gets
+        `timeout` seconds in total; if it runs over or raises, the error is logged
+        and the update is skipped.
+
+        Args:
+            handler: Sync or async callable taking `(state, runtime)` and returning
+                a state update or `None`.
+            timeout: Seconds the handler may take, including the wait for the
+                cancelled run to finish saving.
+
+        Returns:
+            Self: The builder instance, for chaining.
+        """
+        self._cancel_handler = handler
+        self._cancel_timeout = timeout
+        return self
+
    @property
    def _all_edges(self) -> set[tuple[str, str]]:
        return self.edges | {
@@ -1365,6 +1403,8 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
            store=store,
            cache=cache,
            node_error_handler_map=node_error_handler_map,
+            cancel_handler=self._cancel_handler,
+            cancel_timeout=self._cancel_timeout,
            name=name or "LangGraph",
            stream_transformers=transformers,
        )
@@ -4,6 +4,7 @@ import asyncio
 import concurrent
 import concurrent.futures
 import contextlib
+import logging
 import queue
 import warnings
 import weakref
@@ -19,7 +20,7 @@ from collections.abc import (
 from dataclasses import is_dataclass, replace
 from datetime import timedelta
 from functools import partial
-from inspect import isclass
+from inspect import isawaitable, isclass
 from typing import (
    Any,
    Generic,
@@ -118,6 +119,7 @@ from langgraph.errors import (
    GraphDrained,
    GraphRecursionError,
    InvalidUpdateError,
+    RunCancelled,
    create_error_message,
 )
 from langgraph.managed.base import ManagedValueSpec
@@ -206,6 +208,8 @@ from langgraph.warnings import LangGraphDeprecatedSinceV10

 __all__ = ("NodeBuilder", "Pregel")

+logger = logging.getLogger(__name__)
+
 _WriteValue = Callable[[Input], Output] | Any


@@ -761,6 +765,15 @@ class Pregel(
    trigger_to_nodes: Mapping[str, Sequence[str]]
    node_error_handler_map: Mapping[str, str]

+    cancel_handler: Callable[[Any, Runtime], Any] | None = None
+    """Called with the latest state and the run's `Runtime` when a top-level async
+    run with a checkpointer is cancelled with a `RunCancelled` message. A non-`None`
+    return is saved as a state update before the cancellation propagates."""
+
+    cancel_timeout: float = 5.0
+    """Seconds the cancel handler may take, including the wait for the cancelled
+    run to finish saving. A handler that runs over or raises is logged and skipped."""
+
    def __init__(
        self,
        *,
@@ -785,6 +798,8 @@ class Pregel(
        config: RunnableConfig | None = None,
        trigger_to_nodes: Mapping[str, Sequence[str]] | None = None,
        node_error_handler_map: Mapping[str, str] | None = None,
+        cancel_handler: Callable[[Any, Runtime], Any] | None = None,
+        cancel_timeout: float = 5.0,
        name: str = "LangGraph",
        stream_transformers: Sequence[Callable[[tuple[str, ...]], Any]] | None = None,
        **deprecated_kwargs: Unpack[DeprecatedKwargs],
@@ -833,6 +848,8 @@ class Pregel(
        self.config = config
        self.trigger_to_nodes = trigger_to_nodes or {}
        self.node_error_handler_map = node_error_handler_map or {}
+        self.cancel_handler = cancel_handler
+        self.cancel_timeout = cancel_timeout
        self.name = name
        self.stream_transformers: tuple[Callable[[tuple[str, ...]], Any], ...] = tuple(
            stream_transformers or ()
@@ -884,20 +901,38 @@ class Pregel(
        )

    def _subgraph_for_namespace(
-        self, config: RunnableConfig, checkpointer: BaseCheckpointSaver
+        self,
+        config: RunnableConfig,
+        checkpointer: BaseCheckpointSaver,
+        *,
+        for_update: bool = False,
    ) -> tuple[PregelProtocol, RunnableConfig] | None:
        """The subgraph a state method's namespaced config addresses, and the
        config to call it with, lending it `checkpointer`. `None` when the
-        config is for this graph."""
+        config is for this graph, or names no subgraph this graph declares or
+        detects (such as one a tool invokes), so a read uses this graph's
+        channels.
+
+        Raises:
+            ValueError: If `for_update` and the namespace names no such
+                subgraph: this graph's nodes and channels would write the wrong
+                state into it.
+        """
        checkpoint_ns = config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, "")
        if not checkpoint_ns or CONFIG_KEY_CHECKPOINTER in config[CONF]:
            return None
        recast = recast_checkpoint_ns(checkpoint_ns)
-        for _, pregel in self.get_subgraphs(namespace=recast, recurse=True):
-            return pregel, patch_configurable(
-                config, {CONFIG_KEY_CHECKPOINTER: checkpointer}
-            )
-        raise ValueError(f"Subgraph {recast} not found")
+        # Walk every subgraph rather than filter by `namespace=`: that filter
+        # matches by prefix, so for `research_review` it can yield
+        # `research|review` and skip a declared `research_review`.
+        for name, pregel in self.get_subgraphs(recurse=True):
+            if name == recast:
+                return pregel, patch_configurable(
+                    config, {CONFIG_KEY_CHECKPOINTER: checkpointer}
+                )
+        if for_update:
+            raise ValueError(f"Subgraph {recast} not found")
+        return None

    def _apply_checkpointer_allowlist(
        self, checkpointer: BaseCheckpointSaver | None
@@ -1641,7 +1676,9 @@ class Pregel(
        if any(len(u) == 0 for u in supersteps):
            raise ValueError("No updates provided")

-        if subgraph := self._subgraph_for_namespace(config, checkpointer):
+        if subgraph := self._subgraph_for_namespace(
+            config, checkpointer, for_update=True
+        ):
            pregel, subgraph_config = subgraph
            return pregel.bulk_update_state(subgraph_config, supersteps)

@@ -2142,7 +2179,9 @@ class Pregel(
        if any(len(u) == 0 for u in supersteps):
            raise ValueError("No updates provided")

-        if subgraph := self._subgraph_for_namespace(config, checkpointer):
+        if subgraph := self._subgraph_for_namespace(
+            config, checkpointer, for_update=True
+        ):
            pregel, subgraph_config = subgraph
            return await pregel.abulk_update_state(subgraph_config, supersteps)

@@ -3255,6 +3294,7 @@ class Pregel(

        config = ensure_config(self.config, config)
        run_manager = None
+        checkpointer = None
        try:
            # assign defaults
            (
@@ -3587,8 +3627,68 @@ class Pregel(
        except BaseException as e:
            if run_manager is not None:
                await asyncio.shield(run_manager.on_chain_error(e))
+            if isinstance(e, asyncio.CancelledError):
+                await self._arun_cancel_handler(e, config, checkpointer)
            raise

+    async def _arun_cancel_handler(
+        self,
+        exc: asyncio.CancelledError,
+        config: RunnableConfig,
+        checkpointer: BaseCheckpointSaver | None,
+    ) -> None:
+        """Give the graph one bounded state update after its run is cancelled."""
+        handler = self.cancel_handler
+        reason = exc.args[0] if exc.args else None
+        # A nested graph's parent owns the cancel; without a checkpointer nothing was saved.
+        if (
+            handler is None
+            or checkpointer is None
+            or CONFIG_KEY_TASK_ID in config[CONF]
+            or not isinstance(reason, RunCancelled)
+            or not reason.run_cancel_handler
+        ):
+            return
+        runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
+        latest = {
+            **config,
+            CONF: {
+                k: v for k, v in config[CONF].items() if k != CONFIG_KEY_CHECKPOINT_ID
+            },
+        }
+
+        async def run() -> None:
+            # The cancel can cut short the loop's exit, which saves the last checkpoint.
+            for arg in exc.args:
+                if isinstance(arg, asyncio.Task):
+                    with contextlib.suppress(BaseException):
+                        await arg
+            state = await self.aget_state(latest)
+            update = handler(state.values, runtime)
+            if isawaitable(update):
+                update = await update
+            if update is not None:
+                # Save the update as the cancelled task's result.
+                unfinished = [t for t in state.tasks if t.result is None]
+                if len({t.name for t in unfinished}) == 1:
+                    await self.aupdate_state(
+                        state.config, update, unfinished[0].name, unfinished[0].id
+                    )
+                else:
+                    await self.aupdate_state(state.config, update)
+
+        task = asyncio.create_task(run())
+        try:
+            done, _ = await asyncio.wait({task}, timeout=self.cancel_timeout)
+        except asyncio.CancelledError:
+            task.cancel()
+            raise
+        if not done:
+            task.cancel()
+            logger.warning("Cancel handler timed out after %ss", self.cancel_timeout)
+        elif (err := task.exception()) is not None:
+            logger.error("Cancel handler failed", exc_info=err)
+
    @beta(message="The v3 streaming protocol on Pregel is experimental.")
    def _pregel_stream_v3(
        self,
@@ -0,0 +1,246 @@
+import asyncio
+import logging
+import operator
+import sys
+from typing import Annotated, Any
+
+import pytest
+from langgraph.checkpoint.memory import InMemorySaver
+from typing_extensions import TypedDict
+
+from langgraph.errors import RunCancelled
+from langgraph.graph import START, StateGraph
+from langgraph.runtime import Runtime
+
+pytestmark = [
+    pytest.mark.anyio,
+    pytest.mark.skipif(
+        sys.version_info < (3, 11), reason="cancel messages propagate from Python 3.11"
+    ),
+]
+
+
+class State(TypedDict):
+    log: Annotated[list[str], operator.add]
+
+
+async def _call(state: State) -> dict[str, Any]:
+    return {"log": ["call"]}
+
+
+async def _slow_tool(state: State) -> dict[str, Any]:
+    await asyncio.sleep(10)
+    return {"log": ["result"]}
+
+
+def _builder() -> StateGraph:
+    return (
+        StateGraph(State)
+        .add_node("call", _call)
+        .add_node("tool", _slow_tool)
+        .add_edge(START, "call")
+        .add_edge("call", "tool")
+    )
+
+
+class Rollback(RunCancelled):
+    run_cancel_handler = False
+
+
+async def _cancel_mid_tool(
+    graph: Any,
+    config: dict,
+    value: list[str],
+    durability: Any = None,
+    msg: Any = RunCancelled("user stop"),
+) -> None:
+    run = asyncio.create_task(
+        graph.ainvoke({"log": value}, config, durability=durability)
+    )
+    await asyncio.sleep(0.1)
+    run.cancel(msg)
+    with pytest.raises(asyncio.CancelledError):
+        await run
+
+
+def _appends_cancelled(state: State, runtime: Runtime) -> dict[str, Any]:
+    return {"log": ["cancelled"]}
+
+
+@pytest.mark.parametrize("msg", [None, "stop", Rollback("rollback")])
+async def test_cancel_handler_skipped_without_run_cancelled(msg: Any) -> None:
+    graph = (
+        _builder()
+        .set_cancel_handler(_appends_cancelled)
+        .compile(checkpointer=InMemorySaver())
+    )
+    config = {"configurable": {"thread_id": "1"}}
+
+    await _cancel_mid_tool(graph, config, ["h0"], msg=msg)
+
+    state = await graph.aget_state(config)
+    assert state.values["log"] == ["h0", "call"]
+
+
+async def test_cancel_handler_skipped_on_wait_for_timeout() -> None:
+    graph = (
+        _builder()
+        .set_cancel_handler(_appends_cancelled)
+        .compile(checkpointer=InMemorySaver())
+    )
+    config = {"configurable": {"thread_id": "1"}}
+
+    with pytest.raises(asyncio.TimeoutError):
+        await asyncio.wait_for(graph.ainvoke({"log": ["h0"]}, config), timeout=0.1)
+
+    state = await graph.aget_state(config)
+    assert state.values["log"] == ["h0", "call"]
+
+
+@pytest.mark.parametrize("durability", ["sync", "async", "exit"])
+async def test_cancel_handler_saves_update_after_cancel(durability: str) -> None:
+    seen: list[Any] = []
+
+    def on_cancel(state: State, runtime: Runtime) -> dict[str, Any]:
+        seen.append((list(state["log"]), runtime.context))
+        return {"log": ["cancelled"]}
+
+    graph = (
+        _builder().set_cancel_handler(on_cancel).compile(checkpointer=InMemorySaver())
+    )
+    config = {"configurable": {"thread_id": "1"}}
+
+    await _cancel_mid_tool(graph, config, ["h0"], durability)
+
+    assert seen == [(["h0", "call"], None)]
+    state = await graph.aget_state(config)
+    assert state.values["log"] == ["h0", "call", "cancelled"]
+
+
+async def test_async_cancel_handler_and_next_run() -> None:
+    async def on_cancel(state: State, runtime: Runtime) -> dict[str, Any]:
+        await asyncio.sleep(0)
+        return {"log": ["cancelled"]}
+
+    graph = (
+        _builder().set_cancel_handler(on_cancel).compile(checkpointer=InMemorySaver())
+    )
+    config = {"configurable": {"thread_id": "1"}}
+
+    await _cancel_mid_tool(graph, config, ["h0"])
+    await _cancel_mid_tool(graph, config, ["h1"])
+
+    state = await graph.aget_state(config)
+    assert state.values["log"] == [
+        "h0",
+        "call",
+        "cancelled",
+        "h1",
+        "call",
+        "cancelled",
+    ]
+
+
+async def test_cancel_handler_returning_none_saves_nothing() -> None:
+    graph = (
+        _builder()
+        .set_cancel_handler(lambda state, runtime: None)
+        .compile(checkpointer=InMemorySaver())
+    )
+    config = {"configurable": {"thread_id": "1"}}
+
+    await _cancel_mid_tool(graph, config, ["h0"])
+
+    state = await graph.aget_state(config)
+    assert state.values["log"] == ["h0", "call"]
+
+
+async def test_cancel_handler_skipped_without_checkpointer() -> None:
+    calls: list[State] = []
+    graph = _builder().set_cancel_handler(lambda s, r: calls.append(s)).compile()
+
+    await _cancel_mid_tool(graph, {}, ["h0"])
+
+    assert calls == []
+
+
+async def test_cancel_handler_timeout_is_logged_and_skipped(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    async def on_cancel(state: State, runtime: Runtime) -> dict[str, Any]:
+        await asyncio.sleep(10)
+        return {"log": ["cancelled"]}
+
+    graph = (
+        _builder()
+        .set_cancel_handler(on_cancel, timeout=0.1)
+        .compile(checkpointer=InMemorySaver())
+    )
+    config = {"configurable": {"thread_id": "1"}}
+
+    with caplog.at_level(logging.WARNING):
+        await asyncio.wait_for(_cancel_mid_tool(graph, config, ["h0"]), timeout=2)
+
+    assert "Cancel handler timed out" in caplog.text
+    state = await graph.aget_state(config)
+    assert state.values["log"] == ["h0", "call"]
+
+
+async def test_cancel_handler_error_is_logged_and_cancel_propagates(
+    caplog: pytest.LogCaptureFixture,
+) -> None:
+    def on_cancel(state: State, runtime: Runtime) -> dict[str, Any]:
+        raise ValueError("boom")
+
+    graph = (
+        _builder().set_cancel_handler(on_cancel).compile(checkpointer=InMemorySaver())
+    )
+    config = {"configurable": {"thread_id": "1"}}
+
+    with caplog.at_level(logging.ERROR):
+        await _cancel_mid_tool(graph, config, ["h0"])
+
+    assert "Cancel handler failed" in caplog.text
+    state = await graph.aget_state(config)
+    assert state.values["log"] == ["h0", "call"]
+
+
+async def test_cancel_handler_not_called_on_success_or_error() -> None:
+    calls: list[State] = []
+
+    async def fails(state: State) -> dict[str, Any]:
+        raise ValueError("boom")
+
+    graph = (
+        StateGraph(State)
+        .add_node("call", _call)
+        .add_node("fails", fails)
+        .add_edge(START, "call")
+        .add_edge("call", "fails")
+        .set_cancel_handler(lambda s, r: calls.append(s))
+        .compile(checkpointer=InMemorySaver())
+    )
+
+    with pytest.raises(ValueError, match="boom"):
+        await graph.ainvoke({"log": []}, {"configurable": {"thread_id": "1"}})
+
+    assert calls == []
+
+
+async def test_subgraph_cancel_handler_defers_to_parent() -> None:
+    calls: list[str] = []
+
+    subgraph = (
+        _builder().set_cancel_handler(lambda s, r: calls.append("child")).compile()
+    )
+    graph = (
+        StateGraph(State)
+        .add_node("child", subgraph)
+        .add_edge(START, "child")
+        .set_cancel_handler(lambda s, r: calls.append("parent"))
+        .compile(checkpointer=InMemorySaver())
+    )
+
+    await _cancel_mid_tool(graph, {"configurable": {"thread_id": "1"}}, ["h0"])
+
+    assert calls == ["parent"]
@@ -6,16 +6,23 @@ Covers three checkpointer settings for subgraph state:
  interrupt support, but state resets each invocation. This is the common case
  when an agent is invoked from inside a tool used by another agent.
 - checkpointer=True: "stateful" — state accumulates across invocations on the same thread id
+
+Also covers reading a subgraph's namespace from the parent graph, including
+one where no subgraph is declared, such as a subagent a tool invokes.
 """

+from typing import Annotated, Any
 from uuid import uuid4

-from langchain_core.messages import AIMessage, HumanMessage
+import pytest
+from langchain_core.messages import AIMessage, AnyMessage, HumanMessage
+from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import BaseCheckpointSaver
 from typing_extensions import TypedDict

+from langgraph.channels.delta import DeltaChannel
 from langgraph.graph import START, StateGraph
-from langgraph.graph.message import MessagesState
+from langgraph.graph.message import MessagesState, _messages_delta_reducer
 from langgraph.types import Command, Interrupt, interrupt
 from tests.any_str import AnyStr

@@ -685,3 +692,227 @@ def test_child_with_own_thread_id_keeps_namespace(
    parent.invoke({"result": ""}, config=parent_config)
    state2 = child.get_state(child_config)
    assert state2.values.get("count") == 2
+
+
+# -- reading a subgraph's namespace from the parent graph --
+
+
+class NotesState(MessagesState):
+    notes: str  # a key only the subgraphs have
+
+
+class DeltaMessagesState(TypedDict):
+    # Stores `messages` as deltas between snapshots, as deepagents' parent does.
+    messages: Annotated[list[AnyMessage], DeltaChannel(_messages_delta_reducer)]
+
+
+class DeltaNotesState(DeltaMessagesState):
+    notes: str
+
+
+def _notes_graph(label: str, state_schema: type = NotesState) -> Any:
+    # Typed `dict` so it fits either schema (see `_run_tool_subgraph`).
+    def work(state: dict) -> dict:
+        return {"messages": [AIMessage(content=f"{label} done")], "notes": label}
+
+    return (
+        StateGraph(state_schema)
+        .add_node("work", work)
+        .add_edge(START, "work")
+        .compile()
+    )
+
+
+def _namespace_configs(parent: Any) -> dict[str, RunnableConfig]:
+    """Run `parent` on a new thread. Returns a config for each subgraph
+    namespace it wrote, keyed by the node the namespace starts with."""
+    thread_id = str(uuid4())
+    return {
+        ns[0].split(":")[0]: {
+            "configurable": {"thread_id": thread_id, "checkpoint_ns": ns[0]}
+        }
+        for ns, _ in parent.stream(
+            {"messages": [HumanMessage(content="go")]},
+            {"configurable": {"thread_id": thread_id}},
+            subgraphs=True,
+        )
+        if ns
+    }
+
+
+def _run_tool_subgraph(
+    checkpointer: BaseCheckpointSaver,
+    *,
+    parent_schema: type = MessagesState,
+    subagent_schema: type = NotesState,
+) -> tuple[Any, RunnableConfig]:
+    """Run a parent whose `tools` node invokes a subgraph it doesn't declare,
+    as deepagents runs subagents. Returns the parent and a config for the
+    subgraph's `tools:<task_id>` namespace."""
+    # Subgraph detection doesn't follow a subscript, so `tools` declares none.
+    subagents = {"researcher": _notes_graph("researcher", subagent_schema)}
+
+    # Typed `dict`: a schema here would add its `messages` channel to the
+    # parent's, and a plain one clashes with a `DeltaChannel` one.
+    def tools(state: dict) -> dict:
+        subagents["researcher"].invoke(
+            {"messages": [HumanMessage(content="research apples")]}
+        )
+        return {"messages": [AIMessage(content="tool done")]}
+
+    parent = (
+        StateGraph(parent_schema)
+        .add_node("tools", tools)
+        .add_edge(START, "tools")
+        .compile(checkpointer=checkpointer)
+    )
+    return parent, _namespace_configs(parent)["tools"]
+
+
+def test_undeclared_subgraph_get_state(sync_checkpointer: BaseCheckpointSaver) -> None:
+    """A namespace with no declared subgraph is read with the parent graph."""
+    parent, ns_config = _run_tool_subgraph(sync_checkpointer)
+
+    state = parent.get_state(ns_config)
+
+    assert [m.text for m in state.values["messages"]] == [
+        "research apples",
+        "researcher done",
+    ]
+    assert state.config["configurable"]["checkpoint_ns"] == AnyStr("tools:")
+
+
+def test_undeclared_subgraph_get_state_history(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """History of a namespace with no declared subgraph is read with the parent
+    graph, and only holds that namespace's checkpoints."""
+    parent, ns_config = _run_tool_subgraph(sync_checkpointer)
+
+    history = list(parent.get_state_history(ns_config))
+
+    assert [[m.text for m in s.values.get("messages", [])] for s in history] == [
+        ["research apples", "researcher done"],
+        ["research apples"],
+        [],
+    ]
+    assert {s.config["configurable"]["checkpoint_ns"] for s in history} == {
+        ns_config["configurable"]["checkpoint_ns"]
+    }
+
+
+def test_undeclared_subgraph_update_state_raises(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Unlike a read, an update can't fall back to the parent graph: its nodes
+    and channels would write the wrong state into the subgraph's namespace."""
+    parent, ns_config = _run_tool_subgraph(sync_checkpointer)
+
+    with pytest.raises(ValueError, match="Subgraph tools not found"):
+        parent.update_state(ns_config, {"messages": [AIMessage(content="edit")]})
+
+    assert len(list(parent.get_state_history(ns_config))) == 3
+
+
+@pytest.mark.parametrize(
+    ("parent_schema", "subagent_schema"),
+    [(DeltaMessagesState, NotesState), (MessagesState, DeltaNotesState)],
+    ids=["delta_parent", "delta_subagent"],
+)
+def test_undeclared_subgraph_read_across_messages_channel_types(
+    sync_checkpointer: BaseCheckpointSaver,
+    parent_schema: type,
+    subagent_schema: type,
+) -> None:
+    """deepagents' parent stores `messages` in a `DeltaChannel`, and its
+    subagents in a plain `add_messages` channel. Reading a subagent's namespace
+    with the parent's channel restores its messages, either way round."""
+    parent, ns_config = _run_tool_subgraph(
+        sync_checkpointer,
+        parent_schema=parent_schema,
+        subagent_schema=subagent_schema,
+    )
+
+    state = parent.get_state(ns_config)
+    history = list(parent.get_state_history(ns_config))
+
+    assert [m.text for m in state.values["messages"]] == [
+        "research apples",
+        "researcher done",
+    ]
+    assert [[m.text for m in s.values.get("messages", [])] for s in history] == [
+        ["research apples", "researcher done"],
+        ["research apples"],
+        [],
+    ]
+
+
+@pytest.mark.parametrize("review_declared", [False, True])
+def test_prefix_named_namespaces_resolve_to_their_own_graph(
+    sync_checkpointer: BaseCheckpointSaver, review_declared: bool
+) -> None:
+    """`research_review` starts with `research`, whose subgraph has a `review`
+    node with its own subgraph. Each namespace still reads with its own graph:
+    a declared subgraph's channels, or the parent's when none is declared."""
+    research = (
+        StateGraph(NotesState)
+        .add_node("review", _notes_graph("research"))
+        .add_edge(START, "review")
+        .compile()
+    )
+
+    class ReviewState(NotesState):
+        verdict: str  # a key `research|review`'s graph doesn't have
+
+    def review(state: ReviewState) -> dict:
+        return {
+            "messages": [AIMessage(content="review done")],
+            "notes": "review",
+            "verdict": "approved",
+        }
+
+    # Subgraph detection doesn't follow a subscript, so `call_review` declares
+    # none.
+    subgraphs = {
+        "review": StateGraph(ReviewState)
+        .add_node("work", review)
+        .add_edge(START, "work")
+        .compile()
+    }
+
+    def call_review(state: MessagesState) -> dict:
+        subgraphs["review"].invoke({"messages": [HumanMessage(content="check it")]})
+        return {}
+
+    parent = (
+        StateGraph(MessagesState)
+        .add_node("research", research)
+        .add_node(
+            "research_review",
+            subgraphs["review"] if review_declared else call_review,
+        )
+        .add_edge(START, "research")
+        .add_edge("research", "research_review")
+        .compile(checkpointer=sync_checkpointer)
+    )
+    configs = _namespace_configs(parent)
+
+    def values(name: str) -> dict:
+        return {
+            k: [m.text for m in v] if k == "messages" else v
+            for k, v in parent.get_state(configs[name]).values.items()
+        }
+
+    assert values("research") == {
+        "messages": ["go", "research done"],
+        "notes": "research",
+    }
+    if review_declared:
+        assert values("research_review") == {
+            "messages": ["go", "research done", "review done"],
+            "notes": "review",
+            "verdict": "approved",
+        }
+    else:
+        # The parent's channels have no `notes` or `verdict`.
+        assert values("research_review") == {"messages": ["check it", "review done"]}
@@ -6,18 +6,24 @@ Covers three checkpointer settings for subgraph state:
  interrupt support, but state resets each invocation. This is the common case
  when an agent is invoked from inside a tool used by another agent.
 - checkpointer=True: "stateful" — state accumulates across invocations on the same thread id
+
+Also covers reading a subgraph's namespace from the parent graph, including
+one where no subgraph is declared, such as a subagent a tool invokes.
 """

 import sys
+from typing import Annotated, Any
 from uuid import uuid4

 import pytest
-from langchain_core.messages import AIMessage, HumanMessage
+from langchain_core.messages import AIMessage, AnyMessage, HumanMessage
+from langchain_core.runnables import RunnableConfig
 from langgraph.checkpoint.base import BaseCheckpointSaver
 from typing_extensions import TypedDict

+from langgraph.channels.delta import DeltaChannel
 from langgraph.graph import START, StateGraph
-from langgraph.graph.message import MessagesState
+from langgraph.graph.message import MessagesState, _messages_delta_reducer
 from langgraph.types import Command, Interrupt, interrupt
 from tests.any_str import AnyStr

@@ -707,3 +713,239 @@ async def test_child_with_own_thread_id_keeps_namespace_async(
    await parent.ainvoke({"result": ""}, config=parent_config)
    state2 = await child.aget_state(child_config)
    assert state2.values.get("count") == 2
+
+
+# -- reading a subgraph's namespace from the parent graph --
+
+
+class NotesState(MessagesState):
+    notes: str  # a key only the subgraphs have
+
+
+class DeltaMessagesState(TypedDict):
+    # Stores `messages` as deltas between snapshots, as deepagents' parent does.
+    messages: Annotated[list[AnyMessage], DeltaChannel(_messages_delta_reducer)]
+
+
+class DeltaNotesState(DeltaMessagesState):
+    notes: str
+
+
+def _notes_graph(label: str, state_schema: type = NotesState) -> Any:
+    # Typed `dict` so it fits either schema (see `_run_tool_subgraph`).
+    def work(state: dict) -> dict:
+        return {"messages": [AIMessage(content=f"{label} done")], "notes": label}
+
+    return (
+        StateGraph(state_schema)
+        .add_node("work", work)
+        .add_edge(START, "work")
+        .compile()
+    )
+
+
+async def _namespace_configs(parent: Any) -> dict[str, RunnableConfig]:
+    """Run `parent` on a new thread. Returns a config for each subgraph
+    namespace it wrote, keyed by the node the namespace starts with."""
+    thread_id = str(uuid4())
+    return {
+        ns[0].split(":")[0]: {
+            "configurable": {"thread_id": thread_id, "checkpoint_ns": ns[0]}
+        }
+        async for ns, _ in parent.astream(
+            {"messages": [HumanMessage(content="go")]},
+            {"configurable": {"thread_id": thread_id}},
+            subgraphs=True,
+        )
+        if ns
+    }
+
+
+async def _run_tool_subgraph(
+    checkpointer: BaseCheckpointSaver,
+    *,
+    parent_schema: type = MessagesState,
+    subagent_schema: type = NotesState,
+) -> tuple[Any, RunnableConfig]:
+    """Run a parent whose `tools` node invokes a subgraph it doesn't declare,
+    as deepagents runs subagents. Returns the parent and a config for the
+    subgraph's `tools:<task_id>` namespace."""
+    # Subgraph detection doesn't follow a subscript, so `tools` declares none.
+    subagents = {"researcher": _notes_graph("researcher", subagent_schema)}
+
+    # Typed `dict`: a schema here would add its `messages` channel to the
+    # parent's, and a plain one clashes with a `DeltaChannel` one.
+    async def tools(state: dict) -> dict:
+        await subagents["researcher"].ainvoke(
+            {"messages": [HumanMessage(content="research apples")]}
+        )
+        return {"messages": [AIMessage(content="tool done")]}
+
+    parent = (
+        StateGraph(parent_schema)
+        .add_node("tools", tools)
+        .add_edge(START, "tools")
+        .compile(checkpointer=checkpointer)
+    )
+    return parent, (await _namespace_configs(parent))["tools"]
+
+
+@NEEDS_CONTEXTVARS
+async def test_undeclared_subgraph_get_state_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """A namespace with no declared subgraph is read with the parent graph."""
+    parent, ns_config = await _run_tool_subgraph(async_checkpointer)
+
+    state = await parent.aget_state(ns_config)
+
+    assert [m.text for m in state.values["messages"]] == [
+        "research apples",
+        "researcher done",
+    ]
+    assert state.config["configurable"]["checkpoint_ns"] == AnyStr("tools:")
+
+
+@NEEDS_CONTEXTVARS
+async def test_undeclared_subgraph_get_state_history_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """History of a namespace with no declared subgraph is read with the parent
+    graph, and only holds that namespace's checkpoints."""
+    parent, ns_config = await _run_tool_subgraph(async_checkpointer)
+
+    history = [s async for s in parent.aget_state_history(ns_config)]
+
+    assert [[m.text for m in s.values.get("messages", [])] for s in history] == [
+        ["research apples", "researcher done"],
+        ["research apples"],
+        [],
+    ]
+    assert {s.config["configurable"]["checkpoint_ns"] for s in history} == {
+        ns_config["configurable"]["checkpoint_ns"]
+    }
+
+
+@NEEDS_CONTEXTVARS
+async def test_undeclared_subgraph_update_state_raises_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """Unlike a read, an update can't fall back to the parent graph: its nodes
+    and channels would write the wrong state into the subgraph's namespace."""
+    parent, ns_config = await _run_tool_subgraph(async_checkpointer)
+
+    with pytest.raises(ValueError, match="Subgraph tools not found"):
+        await parent.aupdate_state(ns_config, {"messages": [AIMessage(content="edit")]})
+
+    assert len([s async for s in parent.aget_state_history(ns_config)]) == 3
+
+
+@NEEDS_CONTEXTVARS
+@pytest.mark.parametrize(
+    ("parent_schema", "subagent_schema"),
+    [(DeltaMessagesState, NotesState), (MessagesState, DeltaNotesState)],
+    ids=["delta_parent", "delta_subagent"],
+)
+async def test_undeclared_subgraph_read_across_messages_channel_types_async(
+    async_checkpointer: BaseCheckpointSaver,
+    parent_schema: type,
+    subagent_schema: type,
+) -> None:
+    """deepagents' parent stores `messages` in a `DeltaChannel`, and its
+    subagents in a plain `add_messages` channel. Reading a subagent's namespace
+    with the parent's channel restores its messages, either way round."""
+    parent, ns_config = await _run_tool_subgraph(
+        async_checkpointer,
+        parent_schema=parent_schema,
+        subagent_schema=subagent_schema,
+    )
+
+    state = await parent.aget_state(ns_config)
+    history = [s async for s in parent.aget_state_history(ns_config)]
+
+    assert [m.text for m in state.values["messages"]] == [
+        "research apples",
+        "researcher done",
+    ]
+    assert [[m.text for m in s.values.get("messages", [])] for s in history] == [
+        ["research apples", "researcher done"],
+        ["research apples"],
+        [],
+    ]
+
+
+@NEEDS_CONTEXTVARS
+@pytest.mark.parametrize("review_declared", [False, True])
+async def test_prefix_named_namespaces_resolve_to_their_own_graph_async(
+    async_checkpointer: BaseCheckpointSaver, review_declared: bool
+) -> None:
+    """`research_review` starts with `research`, whose subgraph has a `review`
+    node with its own subgraph. Each namespace still reads with its own graph:
+    a declared subgraph's channels, or the parent's when none is declared."""
+    research = (
+        StateGraph(NotesState)
+        .add_node("review", _notes_graph("research"))
+        .add_edge(START, "review")
+        .compile()
+    )
+
+    class ReviewState(NotesState):
+        verdict: str  # a key `research|review`'s graph doesn't have
+
+    def review(state: ReviewState) -> dict:
+        return {
+            "messages": [AIMessage(content="review done")],
+            "notes": "review",
+            "verdict": "approved",
+        }
+
+    # Subgraph detection doesn't follow a subscript, so `call_review` declares
+    # none.
+    subgraphs = {
+        "review": StateGraph(ReviewState)
+        .add_node("work", review)
+        .add_edge(START, "work")
+        .compile()
+    }
+
+    async def call_review(state: MessagesState) -> dict:
+        await subgraphs["review"].ainvoke(
+            {"messages": [HumanMessage(content="check it")]}
+        )
+        return {}
+
+    parent = (
+        StateGraph(MessagesState)
+        .add_node("research", research)
+        .add_node(
+            "research_review",
+            subgraphs["review"] if review_declared else call_review,
+        )
+        .add_edge(START, "research")
+        .add_edge("research", "research_review")
+        .compile(checkpointer=async_checkpointer)
+    )
+    configs = await _namespace_configs(parent)
+
+    async def values(name: str) -> dict:
+        state = await parent.aget_state(configs[name])
+        return {
+            k: [m.text for m in v] if k == "messages" else v
+            for k, v in state.values.items()
+        }
+
+    assert await values("research") == {
+        "messages": ["go", "research done"],
+        "notes": "research",
+    }
+    if review_declared:
+        assert await values("research_review") == {
+            "messages": ["go", "research done", "review done"],
+            "notes": "review",
+            "verdict": "approved",
+        }
+    else:
+        # The parent's channels have no `notes` or `verdict`.
+        assert await values("research_review") == {
+            "messages": ["check it", "review done"]
+        }
@@ -706,139 +706,139 @@ wheels = [

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+
 [[package]]
 name = "uvicorn"
 version = "0.40.0"
@@ -5,7 +5,7 @@ from langgraph_sdk.encryption.types import DecryptResult, EncryptionContext
 from langgraph_sdk.priority import Priority
 from langgraph_sdk.priority.types import PriorityContext, PrioritySettings

-__version__ = "0.4.13"
+__version__ = "0.4.14"

 __all__ = [
    "Auth",
@@ -100,6 +100,7 @@ class RunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
        version: Literal["v1"] = "v1",
    ) -> AsyncIterator[StreamPart]: ...

@@ -133,6 +134,7 @@ class RunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
        version: Literal["v2"],
    ) -> AsyncIterator[StreamPartV2]: ...

@@ -228,6 +230,7 @@ class RunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
        version: StreamVersion = "v1",
    ) -> AsyncIterator[StreamPart | StreamPartV2]:
        """Create a run and stream the results.
@@ -272,6 +275,10 @@ class RunsClient:
                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
+            strict_resume: Refuse a resume that answers an interrupt that isn't waiting,
+                instead of ignoring the answer: the run fails with `UnknownInterruptError`
+                and the thread stays as it was. Takes effect on servers whose `/info`
+                reports `strict_resume`.
            version: Stream format version. "v1" (default) returns raw SSE StreamPart
                NamedTuples. "v2" returns typed dicts with `type`, `ns`, and `data` keys.

@@ -341,6 +348,7 @@ class RunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "strict_resume": strict_resume,
            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
@@ -422,6 +430,7 @@ class RunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> Run: ...

    async def create(
@@ -452,6 +461,7 @@ class RunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> Run:
        """Create a background run.

@@ -491,6 +501,10 @@ class RunsClient:
                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
+            strict_resume: Refuse a resume that answers an interrupt that isn't waiting,
+                instead of ignoring the answer: the run fails with `UnknownInterruptError`
+                and the thread stays as it was. Takes effect on servers whose `/info`
+                reports `strict_resume`.

        Returns:
            The created background run.
@@ -595,6 +609,7 @@ class RunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "strict_resume": strict_resume,
            "langsmith_tracer": langsmith_tracing,
        }
        payload = {k: v for k, v in payload.items() if v is not None}
@@ -656,6 +671,7 @@ class RunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> builtins.list[dict] | dict[str, Any]: ...

    @overload
@@ -712,6 +728,7 @@ class RunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> builtins.list[dict] | dict[str, Any]:
        """Create a run, wait until it finishes and return the final state.

@@ -749,6 +766,10 @@ class RunsClient:
                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
+            strict_resume: Refuse a resume that answers an interrupt that isn't waiting,
+                instead of ignoring the answer: the run fails with `UnknownInterruptError`
+                and the thread stays as it was. Takes effect on servers whose `/info`
+                reports `strict_resume`.

        Returns:
            The output of the run.
@@ -829,6 +850,7 @@ class RunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "strict_resume": strict_resume,
            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
@@ -100,6 +100,7 @@ class SyncRunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
        version: Literal["v1"] = "v1",
    ) -> Iterator[StreamPart]: ...

@@ -133,6 +134,7 @@ class SyncRunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
        version: Literal["v2"],
    ) -> Iterator[StreamPartV2]: ...

@@ -228,6 +230,7 @@ class SyncRunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
        version: StreamVersion = "v1",
    ) -> Iterator[StreamPart | StreamPartV2]:
        """Create a run and stream the results.
@@ -271,6 +274,10 @@ class SyncRunsClient:
                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
+            strict_resume: Refuse a resume that answers an interrupt that isn't waiting,
+                instead of ignoring the answer: the run fails with `UnknownInterruptError`
+                and the thread stays as it was. Takes effect on servers whose `/info`
+                reports `strict_resume`.
            version: Stream format version. "v1" (default) returns raw SSE StreamPart
                NamedTuples. "v2" returns typed dicts with `type`, `ns`, and `data` keys.

@@ -336,6 +343,7 @@ class SyncRunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "strict_resume": strict_resume,
            "langsmith_tracer": langsmith_tracing,
        }
        endpoint = (
@@ -417,6 +425,7 @@ class SyncRunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> Run: ...

    def create(
@@ -447,6 +456,7 @@ class SyncRunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> Run:
        """Create a background run.

@@ -486,6 +496,10 @@ class SyncRunsClient:
                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
+            strict_resume: Refuse a resume that answers an interrupt that isn't waiting,
+                instead of ignoring the answer: the run fails with `UnknownInterruptError`
+                and the thread stays as it was. Takes effect on servers whose `/info`
+                reports `strict_resume`.

        Returns:
            The created background `Run`.
@@ -590,6 +604,7 @@ class SyncRunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "strict_resume": strict_resume,
            "langsmith_tracer": langsmith_tracing,
        }
        payload = {k: v for k, v in payload.items() if v is not None}
@@ -651,6 +666,7 @@ class SyncRunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> builtins.list[dict] | dict[str, Any]: ...

    @overload
@@ -707,6 +723,7 @@ class SyncRunsClient:
        params: QueryParamTypes | None = None,
        on_run_created: Callable[[RunCreateMetadata], None] | None = None,
        durability: Durability | None = None,
+        strict_resume: bool | None = None,
    ) -> builtins.list[dict] | dict[str, Any]:
        """Create a run, wait until it finishes and return the final state.

@@ -745,6 +762,10 @@ class SyncRunsClient:
                "async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
                "sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
                "exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
+            strict_resume: Refuse a resume that answers an interrupt that isn't waiting,
+                instead of ignoring the answer: the run fails with `UnknownInterruptError`
+                and the thread stays as it was. Takes effect on servers whose `/info`
+                reports `strict_resume`.

        Returns:
            The output of the `Run`.
@@ -826,6 +847,7 @@ class SyncRunsClient:
            "on_completion": on_completion,
            "after_seconds": after_seconds,
            "durability": durability,
+            "strict_resume": strict_resume,
            "langsmith_tracer": langsmith_tracing,
        }

@@ -58,6 +58,8 @@ StreamMode = Literal[
    "debug",
    "custom",
    "messages-tuple",
+    "tools",
+    "lifecycle",
 ]
 """
 Defines the mode of streaming:
@@ -69,6 +71,8 @@ Defines the mode of streaming:
 - "tasks": Stream task start and finish events.
 - "debug": Stream detailed debug information.
 - "custom": Stream custom events.
+- "tools": Stream tool events: `on_tool_start`, `on_tool_event`, `on_tool_end` and `on_tool_error`.
+- "lifecycle": Stream an event when each subgraph starts and ends, with the id of the tool call that started it.
 """

 DisconnectMode = Literal["cancel", "continue"]
@@ -136,7 +136,7 @@ def test_sync_api_matches_async(async_cls, sync_cls):
 # and stateful ones (`thread_id: str`) leave out `on_completion`, which only
 # applies to stateless runs.
 _RUN_OVERLOAD_OMISSIONS = {
-    "None": {"checkpoint", "checkpoint_id", "multitask_strategy"},
+    "None": {"checkpoint", "checkpoint_id", "multitask_strategy", "strict_resume"},
    "str": {"on_completion"},
 }

@@ -212,3 +212,55 @@ async def test_wait_returns_the_run_error_without_raise_error(asynchronous):

    assert result == run_error
    assert "raise_error" not in json.loads(requests[0].content)
+
+
+def _strict_resume_handler(requests: list[httpx.Request]):
+    def handler(request: httpx.Request) -> httpx.Response:
+        requests.append(request)
+        if request.url.path.endswith("/stream"):
+            return httpx.Response(
+                200,
+                headers={"Content-Type": "text/event-stream"},
+                content=b"event: end\ndata: null\n\n",
+            )
+        return httpx.Response(200, json={"run_id": "r1"})
+
+    return handler
+
+
+@pytest.mark.parametrize("method", ["create", "stream", "wait"])
+@pytest.mark.parametrize("asynchronous", [False, True])
+@pytest.mark.parametrize("strict_resume", [True, None], ids=["opted-in", "default"])
+async def test_runs_send_strict_resume_only_when_set(
+    method: str, asynchronous: bool, strict_resume: bool | None
+):
+    requests: list[httpx.Request] = []
+    transport = httpx.MockTransport(_strict_resume_handler(requests))
+    kwargs: dict[str, Any] = {
+        "command": {"resume": {"0" * 32: "yes"}},
+        "strict_resume": strict_resume,
+    }
+    if asynchronous:
+        async with httpx.AsyncClient(
+            transport=transport, base_url="https://example.com"
+        ) as client:
+            result = getattr(RunsClient(HttpClient(client)), method)(
+                "t1", "agent", **kwargs
+            )
+            if method == "stream":
+                async for _ in result:
+                    pass
+            else:
+                await result
+    else:
+        with httpx.Client(
+            transport=transport, base_url="https://example.com"
+        ) as client:
+            result = getattr(SyncRunsClient(SyncHttpClient(client)), method)(
+                "t1", "agent", **kwargs
+            )
+            if method == "stream":
+                for _ in result:
+                    pass
+
+    assert json.loads(requests[0].content).get("strict_resume") == strict_resume
Author	SHA1	Message	Date
Sera	b026ef8751	feat(langgraph): run the cancel handler only for `RunCancelled` cancels Plain cancels, like asyncio timeouts, task groups stopping siblings or a process shutting down, skip the handler so the run can be resumed as is.	2026-11-06 11:28:12 -05:00
Sera	a4eb18db66	feat(langgraph): run a cancel handler when an async run is cancelled	2026-11-06 11:09:01 -05:00
Richard Scarrott	22025bbdbe	fix(langgraph): read an undeclared subgraph namespace with the parent graph (#9614 ) ## Summary deepagents runs subagents inside its `tools` node, so their checkpoints live at `tools:<task_id>`, where the parent declares no subgraph. Reading that namespace raised `Subgraph tools not found`, and the Python Agent Server returned 400 on `/history?checkpoint_ns=...`. Reads now fall back to the parent graph, as JS does since langchain-ai/langgraphjs#2191. > [!WARNING] > This is a tactical fix, and its reads can be wrong without any error. The subgraph that wrote the checkpoint isn't declared on the parent (a tool invoked it), so the parent can't find it and reads the checkpoint with its own channels and nodes. That works for keys both graphs share, such as deepagents' `messages`. Beyond those: > > - Keys only the subgraph has are missing. > - `next`, `tasks` and interrupts come from the parent's nodes. For a paused subgraph they come back empty, unless its node names match the parent's (as deepagents' `model`/`tools` do). > - A namespace nested under a declared subgraph, such as `agent:<id>\|tools:<id>`, is read with the root graph, not `agent`. > - A mistyped namespace returns an empty snapshot and history instead of an error (200 from the Agent Server, not 400). > > JS made the same trade-off in langchain-ai/langgraphjs#2191. A real fix needs a way to find the graph that wrote the checkpoint, which neither SDK has. ```diff Pregel._subgraph_for_namespace(config, checkpointer, , for_update=False) - first subgraph get_subgraphs(namespace=ns) yields # prefix match + the subgraph whose name equals ns, walking every subgraph - else raise "Subgraph {ns} not found" + else, from (a)get_state / (a)get_state_history: None, so read with this graph's channels + else, from (a)bulk_update_state / (a)update_state: raise "Subgraph {ns} not found" ``` Updates still raise, as in JS: the parent's nodes and channels would write the wrong state into the subgraph's namespace. The exact-name walk replaces the `namespace=` filter. That filter matches by prefix and reassigns `namespace` mid-loop. So with nodes `research` and `research_review`, `research_review` could resolve to `research\|review`, or miss a declared `research_review` entirely. JS already compares exact names and doesn't reassign its namespace while looping, so it needs no change. ## Evidence - Before:* `get_state` / `get_state_history` on `tools:<task_id>` raised `ValueError: Subgraph tools not found`. When `research`'s subgraph has its own `review` node, `research_review` was read with `research\|review`'s graph, declared or not. After: new sync and async tests in `test_subgraph_persistence.py` / `test_subgraph_persistence_async.py` pass. They fail on `main`: ```text parent's tools node invokes subagents["researcher"] # undeclared get_state(tools:<id>) -> messages ["research apples", "researcher done"] get_state_history(tools:<id>) -> 3 snapshots, all in tools:<id> update_state(tools:<id>) -> raises "Subgraph tools not found" nodes research (declared; its subgraph has a review node) + research_review (declared, or not) get_state(research:<id>) -> research's subgraph (has `notes`) get_state(research_review:<id>) -> review's subgraph (has `verdict`), or the parent (neither) ``` The `research_review` declared case also fails if the exact-name check runs over `get_subgraphs(namespace=...)`. `make format lint test` passes in `libs/langgraph`. ## Merge Danger Door: two-way Blast Radius: small, but the wrong results are silent (see the warning above). Only a state read whose `checkpoint_ns` names no subgraph behaves differently: it returns a snapshot read with the parent graph instead of raising.	2026-11-06 15:25:10 +00:00
Elior Nataf Lackritz	5847733bcb	release(cli): 0.4.42 (#9611 ) Bumps langgraph-cli from 0.4.41 to 0.4.42. Includes: - Add `langgraph deploy metrics`, which prints a deployment's metrics as compact JSON (#9479)	2026-11-05 22:00:30 -05:00
Elior Nataf Lackritz	17335c9782	release(sdk-py): 0.4.14 (#9610 ) Bumps the Python SDK version from 0.4.13 to 0.4.14. Includes: - Add `strict_resume` to `runs.create`, `runs.stream` and `runs.wait`, so a resume that answers an interrupt that isn't waiting fails with `UnknownInterruptError` instead of being ignored (#9599) - Add `tools` and `lifecycle` to `StreamMode` (#9601)	2026-11-05 22:00:26 -05:00
hari-dhanushkodi Hari Dhanushkodi open-swe[bot]Claude Opus 5.5	cf35b4a3a1	feat(cli): add deploy metrics command (#9479 ) Adds `langgraph deploy metrics` with compact, agent-friendly JSON grouped by section, chart, and series. Existing time-range and metric filters are preserved; host-backend and its UI response schema are unchanged. - Default: real `project_metric`, inferred units, three-decimal values, latest/min/max/avg, and `[ISO timestamp, value]` points; empty sections are explicit. - `--summary`: same shape without points. `--raw`: original host-backend schema without reshaping or rounding. Mutually exclusive. - Bounds always report the requested window: end defaults to now (UTC), and start defaults to 15 minutes before the resolved end. With only `--end-time`, start is 15 minutes before that value; with only `--start-time`, end is now. The CLI sends both bounds explicitly and reports identical values in the output. `step_seconds` is the most common within-series timestamp gap (smallest on ties), uses an integer for whole seconds, and is null only when no series has two timestamps. Statistics ignore missing/non-finite values; latest means latest non-missing sample. Size comparison (realistic synthetic unit-test fixture, identical compact JSON serialization; not a live deployment benchmark): \| Before: raw UI schema \| After: default \| After: summary \| \| --- \| --- \| --- \| \| 4,302 bytes \| 1,226 bytes (72% smaller) \| 806 bytes (81% smaller) \| Known gotcha (pre-existing, unchanged here): pass `--host-url` after the subcommand. A group-level `langgraph deploy --host-url ... metrics <id>` silently ignores that option and can hit prod instead, producing a confusing 403. ```bash langgraph deploy metrics --host-url https://dev.api.host.langchain.com <id> ``` Follow-up: https://github.com/langchain-ai/langgraph/pull/9562 adds compute and Postgres tier scaling, stacked on this branch. Retarget it to `main` after this PR merges. ## References - [Slack thread](https://langchain.slack.com/archives/C0BHM1C5R5L/p1793216413707489) Made by [Open SWE](https://github.com/langchain-ai/open-swe) · [view thread](https://openswe.langchain.dev/agents/5c8cafeb-c089-587f-aa85-af220f2f13f6) · openai:gpt-6.1-sol (medium) --------- Co-authored-by: Hari Dhanushkodi <hari-dhanushkodi@users.noreply.github.com> Co-authored-by: open-swe[bot] <open-swe@users.noreply.github.com> Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>	2026-11-05 18:20:14 -05:00
Elior Nataf Lackritz	60cbb4af56	docs(langgraph): say each interrupt() call has its own id in UnknownInterruptError (#9600 ) Since #9589 each `interrupt()` call in a task has its own id, so the docstring's last paragraph was out of date: a retried answer is now refused instead of answering the task's next question.	2026-11-05 11:37:40 -05:00
Elior Nataf Lackritz	2643345bfc	feat(sdk-py): add strict_resume to runs.create, stream and wait (#9599 ) Adds a keyword-only `strict_resume` parameter to `client.runs.create`, `stream` and `wait`, in the async and sync clients. With `strict_resume=True`, a resume that answers an interrupt that isn't waiting (answered in another tab, or a wrong id) is refused instead of ignored: the run fails with `UnknownInterruptError` and the thread stays as it was. The check is langgraph's strict resume mode (#9574). The parameter is sent only when set, and only on thread runs: the stateless overloads leave it out. A server that doesn't support it ignores the field.	2026-11-05 11:15:21 -05:00
Vladislav Nechakhin Vladislav Nechakhin Robin	f35dc299b3	chore(deps): bump filelock and langgraph-api for security fixes (#9606 ) Co-authored-by: Vladislav Nechakhin <vladislav-nechakhin@users.noreply.github.com> Co-authored-by: Robin <open-swe@users.noreply.github.com>	2026-11-05 09:34:14 -05:00
Elior Nataf Lackritz	9412cb7aef	feat(sdk-py): add tools and lifecycle to StreamMode (#9601 ) `StreamMode` gains `tools` and `lifecycle`, so `runs.stream` can ask for them without a type error: - `tools`: tool events (`on_tool_start`, `on_tool_event`, `on_tool_end` and `on_tool_error`). - `lifecycle`: an event when each subgraph starts and ends, with the id of the tool call that started it. Types only; nothing changes at runtime. Crons share `StreamMode`, as in the JS SDK, so their types take these modes too; the server answers a cron that asks for one with a 422. Test plan: - [x] `make lint` and `make test` in `libs/sdk-py` (693 passed). - [x] `make lint_package` in `libs/langgraph`, whose `RemoteGraph` uses the SDK's `StreamMode`. - [x] `check_sdk_methods.py`.	2026-11-05 08:12:56 -05:00