perf(prebuilt): only format the call_model error message when raising

fix(langgraph): match whole namespace segments in get_subgraphs (#9615 )
Follows up [this review comment](https://github.com/langchain-ai/langgraph/pull/9614#discussion_r4493053567) on #9614. ## Summary `get_subgraphs(namespace=...)` matched node names by string prefix and reassigned `namespace` inside the loop. It now matches whole segments. ```diff for name, node in self.nodes - skip unless ns.startswith(name) + skip unless ns == name or ns.startswith(name + NS_SEP) - ns = ns[len(name) + 1:] # every later node sees this - recurse with ns + recurse with ns[len(name) + 1:] ``` `_subgraph_for_namespace` filters with `namespace=` again, and #9614's workaround comment is gone. **Behaviour change.** With `namespace=` and `recurse=True`, `get_subgraphs` and `aget_subgraphs` yield only the subgraph at that namespace. Take a `research` node whose subgraph has a `review` node, plus top-level `research_review` and `review` nodes: | `namespace=` | before | after | | ------------------ | ---------------------------------------- | ------------------ | | `research_review` | `research\|review`, the parent's `review` | `research_review` | | `research\|review` | `research\|review`, the parent's `review` | `research\|review` | The Agent Server's `GET /assistants/{id}/subgraphs/{namespace}?recurse=true` is the only other caller that passes a namespace, and its response changes the same way. JS `getSubgraphs` has the same prefix match but doesn't reassign, so for `research_review` it lists `research|review` before the right graph. JS state reads compare exact names and are unaffected. JS should get the same fix in a follow-up. ## Evidence New sync and async tests: - `test_get_subgraphs_matches_whole_namespace_segments` checks that each namespace yields only its own graph. It fails on `main`. - `test_nested_namespace_update_raises_despite_top_level_namesake` checks that `update_state` on `research|review` raises when `research` declares no `review`, instead of writing through the parent's `review`. It fails if only `get_subgraphs` is reverted. `make format lint test` passes. ## Merge Danger **Door:** two-way **Blast Radius:** small. Callers that pass `namespace=` get fewer results, and each result they lose was at the wrong namespace.
2026-11-07 22:52:34 +01:00 · 2026-11-07 15:48:22 -05:00 · 2026-11-06 16:08:12 +00:00 · 2026-11-06 15:25:10 +00:00 · 2026-11-05 22:00:30 -05:00 · 2026-11-05 22:00:26 -05:00
34 changed files with 2538 additions and 319 deletions
@@ -115,21 +115,16 @@ jobs:
          echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
          timeout --kill-after=30 300 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
          echo "Finished starting up langgraph-test-h"
-          LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
-          if [ "$LANGGRAPH_VERSION" != "1.2.6" ]; then
-            echo "LANGGRAPH_VERSION != 1.2.6; $LANGGRAPH_VERSION"
-            exit 1
-          fi
-          LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
-          if [ "$LANGCHAIN_OPENAI_VERSION" != "1.1.14" ]; then
-            echo "LANGCHAIN_OPENAI_VERSION != 1.1.14; $LANGCHAIN_OPENAI_VERSION"
-            exit 1
-          fi
-          LANGCHAIN_ANTHROPIC_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-anthropic'); print(v);")
-          if [ "$LANGCHAIN_ANTHROPIC_VERSION" != "1.4.6" ]; then
-            echo "LANGCHAIN_ANTHROPIC_VERSION != 1.4.6; $LANGCHAIN_ANTHROPIC_VERSION"
-            exit 1
-          fi
+          pins=$(grep -oE '"[a-z0-9-]+==[^"]+"' pyproject.toml | tr -d '"')
+          [ -n "$pins" ] || { echo "no == pins found in pyproject.toml"; exit 1; }
+          for pin in $pins; do
+            pkg=${pin%%==*}
+            installed=$(docker run --rm --entrypoint "" langgraph-test-h python -c "from importlib.metadata import version; print(version('$pkg'))")
+            if [ "$installed" != "${pin#*==}" ]; then
+              echo "$pkg $installed != pinned ${pin#*==}"
+              exit 1
+            fi
+          done

      - name: Build and test prerelease reqs fail service
        if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
@@ -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__ = "0.4.40"
+__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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+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]]
@@ -2444,7 +2519,8 @@ version = "21.14.13"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "distlib" },
-    { 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" },
@@ -74,6 +74,8 @@ CONFIG_KEY_RUNTIME = sys.intern("__pregel_runtime")
 # holds a `Runtime` instance with context, store, stream writer, etc.
 CONFIG_KEY_RESUME_MAP = sys.intern("__pregel_resume_map")
 # holds a mapping of task ns -> resume value for resuming tasks
+CONFIG_KEY_STRICT_RESUME = sys.intern("__pregel_strict_resume")
+# when True, the root graph refuses a resume that can't be matched to its pending interrupts
 CONFIG_KEY_STREAM_MESSAGES_V2 = sys.intern("__pregel_stream_messages_v2")
 # when True, attach StreamMessagesHandlerV2 so content-block (v2) events
 # flow through stream_mode="messages"; set by StreamingHandler only.
@@ -134,6 +136,7 @@ RESERVED = {
    CONFIG_KEY_CHECKPOINT_NS,
    CONFIG_KEY_TIMED_ATTEMPT_OBSERVER,
    CONFIG_KEY_RESUME_MAP,
+    CONFIG_KEY_STRICT_RESUME,
    CONFIG_KEY_STREAM_MESSAGES_V2,
    # other constants
    PUSH,
@@ -28,6 +28,7 @@ __all__ = (
    "ParentCommand",
    "EmptyInputError",
    "TaskNotFound",
+    "UnknownInterruptError",
    "is_invalid_resume",
 )

@@ -146,6 +147,46 @@ class TaskNotFound(Exception):
    pass


+class UnknownInterruptError(Exception):
+    """Raised in strict resume mode when a resume doesn't match the pending interrupts.
+
+    `reason` says how it doesn't match:
+
+    - `"not_pending"`: the resume names interrupts that aren't pending, listed in
+      `interrupt_ids`.
+    - `"empty_map"`: the resume is an empty map.
+    - `"ambiguous"`: the resume is a single value while several interrupts are
+      pending.
+
+    `pending_ids` lists the interrupts still waiting for an answer. The error is
+    raised before anything is written, so they can still be answered.
+
+    A single value with no interrupt pending is accepted, because it resumes a
+    graph paused at a static breakpoint (`interrupt_before` or `interrupt_after`).
+
+    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"]
+    interrupt_ids: tuple[str, ...]
+    pending_ids: tuple[str, ...]
+
+    def __init__(
+        self,
+        message: str,
+        *,
+        reason: Literal["not_pending", "empty_map", "ambiguous"],
+        interrupt_ids: Sequence[str] = (),
+        pending_ids: Sequence[str] = (),
+    ) -> None:
+        super().__init__(message)
+        self.reason = reason
+        self.interrupt_ids = tuple(interrupt_ids)
+        self.pending_ids = tuple(pending_ids)
+
+
@dataclass(frozen=True, slots=True)
 class NodeError:
    """Failure context passed to a node-level error handler.
@@ -85,6 +85,7 @@ from langgraph.types import (
    RetryPolicy,
    Send,
    TimeoutPolicy,
+    _interrupt_id,
 )

 GetNextVersion = Callable[[V | None, None], V]
@@ -626,7 +627,7 @@ def prepare_single_task(
                config[CONF].get(CONFIG_KEY_SCRATCHPAD),
                pending_writes,
                task_id,
-                xxh3_128_hexdigest(task_checkpoint_ns.encode()),
+                task_checkpoint_ns,
                config[CONF].get(CONFIG_KEY_RESUME_MAP),
                step,
                stop,
@@ -873,7 +874,7 @@ def prepare_push_task_functional(
            configurable.get(CONFIG_KEY_SCRATCHPAD),
            pending_writes,
            task_id,
-            xxh3_128_hexdigest(task_checkpoint_ns.encode()),
+            task_checkpoint_ns,
            configurable.get(CONFIG_KEY_RESUME_MAP),
            step,
            stop,
@@ -1035,7 +1036,7 @@ def prepare_push_task_send(
            config[CONF].get(CONFIG_KEY_SCRATCHPAD),
            pending_writes,
            task_id,
-            xxh3_128_hexdigest(task_checkpoint_ns.encode()),
+            task_checkpoint_ns,
            config[CONF].get(CONFIG_KEY_RESUME_MAP),
            step,
            stop,
@@ -1184,7 +1185,7 @@ def prepare_node_error_handler_task(
        config[CONF].get(CONFIG_KEY_SCRATCHPAD),
        pending_writes,
        task_id,
-        xxh3_128_hexdigest(task_checkpoint_ns.encode()),
+        task_checkpoint_ns,
        config[CONF].get(CONFIG_KEY_RESUME_MAP),
        step,
        stop,
@@ -1280,7 +1281,7 @@ def _scratchpad(
    parent_scratchpad: PregelScratchpad | None,
    pending_writes: list[PendingWrite],
    task_id: str,
-    namespace_hash: str,
+    task_checkpoint_ns: str,
    resume_map: dict[str, Any] | None,
    step: int,
    stop: int,
@@ -1307,10 +1308,15 @@ def _scratchpad(
            task_resume_write = []
        del w

-        # find namespace and task-specific resume value
-        if resume_map and namespace_hash in resume_map:
-            mapped_resume_write = resume_map[namespace_hash]
-            task_resume_write.append(mapped_resume_write)
+        # find the resume value for the task's next interrupt
+        if resume_map:
+            next_id = _interrupt_id(task_checkpoint_ns, len(task_resume_write))
+            first_id = _interrupt_id(task_checkpoint_ns, 0)
+            if next_id in resume_map:
+                task_resume_write.append(resume_map[next_id])
+            # Older versions gave all of a task's interrupts the first id.
+            elif first_id in resume_map:
+                task_resume_write.append(resume_map[first_id])

    else:
        null_resume_write = None
@@ -48,6 +48,7 @@ from langgraph._internal._constants import (
    CONFIG_KEY_RUNTIME,
    CONFIG_KEY_SCRATCHPAD,
    CONFIG_KEY_STREAM,
+    CONFIG_KEY_STRICT_RESUME,
    CONFIG_KEY_TASK_ID,
    CONFIG_KEY_THREAD_ID,
    ERROR,
@@ -77,6 +78,7 @@ from langgraph.constants import TAG_HIDDEN
 from langgraph.errors import (
    EmptyInputError,
    GraphInterrupt,
+    UnknownInterruptError,
 )
 from langgraph.managed.base import (
    ManagedValueMapping,
@@ -1024,17 +1026,45 @@ class PregelLoop:
                        "Cannot use Command(resume=...) without checkpointer"
                    )

+                strict = (
+                    self.config[CONF].get(CONFIG_KEY_STRICT_RESUME, False)
+                    # Nested calls inherit the parent's configurable.
+                    and not self.is_nested
+                    # A finished task can rerun and interrupt again on replay, while
+                    # its earlier output still makes its interrupt look answered.
+                    and not self._addressed_checkpoint_superseded
+                )
                if resume_is_map := (
                    isinstance(resume, dict)
                    and all(is_xxh3_128_hexdigest(k) for k in resume)
                ):
+                    if strict:
+                        pending = self._pending_interrupts()
+                        if not resume:
+                            raise UnknownInterruptError(
+                                "The resume map names no interrupt",
+                                reason="empty_map",
+                                pending_ids=sorted(pending),
+                            )
+                        if unknown := sorted(resume.keys() - pending):
+                            raise UnknownInterruptError(
+                                f"Unknown or already-consumed interrupt: {unknown[0]}",
+                                reason="not_pending",
+                                interrupt_ids=unknown,
+                                pending_ids=sorted(pending),
+                            )
                    self.config[CONF][CONFIG_KEY_RESUME_MAP] = resume
                else:
-                    if len(self._pending_interrupts()) > 1:
-                        raise RuntimeError(
+                    if len(pending := self._pending_interrupts()) > 1:
+                        message = (
                            "When there are multiple pending interrupts, you must specify the interrupt id when resuming. "
-                            "Docs: https://docs.langchain.com/oss/python/langgraph/add-human-in-the-loop#resume-multiple-interrupts-with-one-invocation."
+                            "Docs: https://docs.langchain.com/oss/python/langgraph/interrupts#handling-multiple-interrupts."
                        )
+                        if strict:
+                            raise UnknownInterruptError(
+                                message, reason="ambiguous", pending_ids=sorted(pending)
+                            )
+                        raise RuntimeError(message)

            writes: defaultdict[str, list[tuple[str, Any]]] = defaultdict(list)
            # group writes by task ID
@@ -28,6 +28,7 @@ from langgraph._internal._constants import (
    CONFIG_KEY_CHECKPOINT_NS,
    CONFIG_KEY_RESUMING,
    CONFIG_KEY_RUNTIME,
+    CONFIG_KEY_SCRATCHPAD,
    CONFIG_KEY_SEND,
    CONFIG_KEY_STREAM,
    CONFIG_KEY_TASK_ID,
@@ -44,6 +45,7 @@ from langgraph.errors import (
    NodeTimeoutError,
    ParentCommand,
 )
+from langgraph.pregel._algo import LazyAtomicCounter
 from langgraph.pregel.protocol import StreamProtocol
 from langgraph.runtime import ExecutionInfo, Runtime
 from langgraph.types import Command, PregelExecutableTask, RetryPolicy, TimeoutPolicy
@@ -571,6 +573,23 @@ def _checkpoint_ns_for_parent_command(ns: str) -> str:
    return NS_SEP.join(parts)


+def _reset_interrupt_counter(config: RunnableConfig) -> RunnableConfig:
+    # A retry reruns the node from its first line, so its interrupt() calls count
+    # from the first again to reuse the answers its task already has, rather than
+    # asking again under an id the next resume can't match.
+    scratchpad = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
+    if scratchpad is None:
+        return config
+    return patch_configurable(
+        config,
+        {
+            CONFIG_KEY_SCRATCHPAD: replace(
+                scratchpad, interrupt_counter=LazyAtomicCounter()
+            )
+        },
+    )
+
+
 def run_with_retry(
    task: PregelExecutableTask,
    retry_policy: Sequence[RetryPolicy] | None,
@@ -681,6 +700,7 @@ def run_with_retry(
            )
            # signal subgraphs to resume (if available)
            config = patch_configurable(config, {CONFIG_KEY_RESUMING: True})
+            config = _reset_interrupt_counter(config)


 async def arun_with_retry(
@@ -829,6 +849,7 @@ async def arun_with_retry(
            )
            # signal subgraphs to resume (if available)
            config = patch_configurable(config, {CONFIG_KEY_RESUMING: True})
+            config = _reset_interrupt_counter(config)


 def _return_value(task: PregelExecutableTask) -> Any:
@@ -884,11 +884,23 @@ 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
@@ -897,7 +909,9 @@ class Pregel(
            return pregel, patch_configurable(
                config, {CONFIG_KEY_CHECKPOINTER: checkpointer}
            )
-        raise ValueError(f"Subgraph {recast} not found")
+        if for_update:
+            raise ValueError(f"Subgraph {recast} not found")
+        return None

    def _apply_checkpointer_allowlist(
        self, checkpointer: BaseCheckpointSaver | None
@@ -1143,7 +1157,9 @@ class Pregel(
        """Get the subgraphs of the graph.

        Args:
-            namespace: The namespace to filter the subgraphs by.
+            namespace: Yield only the subgraph at this exact namespace, such
+                as `parent|child` (without task IDs). A nested namespace needs
+                `recurse=True`.
            recurse: Whether to recurse into the subgraphs.
                If `False`, only the immediate subgraphs will be returned.

@@ -1151,9 +1167,9 @@ class Pregel(
            An iterator of the `(namespace, subgraph)` pairs.
        """
        for name, node in self.nodes.items():
-            # filter by prefix
+            # filter by the namespace's first segment, matched whole
            if namespace is not None:
-                if not namespace.startswith(name):
+                if namespace != name and not namespace.startswith(name + NS_SEP):
                    continue

            # find the subgraph, if any
@@ -1167,12 +1183,13 @@ class Pregel(
                if namespace is None:
                    yield name, graph
                if recurse and isinstance(graph, Pregel):
-                    if namespace is not None:
-                        namespace = namespace[len(name) + 1 :]
+                    child_namespace = (
+                        None if namespace is None else namespace[len(name) + 1 :]
+                    )
                    yield from (
                        (f"{name}{NS_SEP}{n}", s)
                        for n, s in graph.get_subgraphs(
-                            namespace=namespace, recurse=recurse
+                            namespace=child_namespace, recurse=recurse
                        )
                    )

@@ -1182,7 +1199,9 @@ class Pregel(
        """Get the subgraphs of the graph.

        Args:
-            namespace: The namespace to filter the subgraphs by.
+            namespace: Yield only the subgraph at this exact namespace, such
+                as `parent|child` (without task IDs). A nested namespace needs
+                `recurse=True`.
            recurse: Whether to recurse into the subgraphs.
                If `False`, only the immediate subgraphs will be returned.

@@ -1641,7 +1660,9 @@ 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 +2163,9 @@ 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)

@@ -50,6 +50,7 @@ from langgraph._internal._constants import (
    CONFIG_KEY_CHECKPOINT_MAP,
    CONFIG_KEY_CHECKPOINT_NS,
    CONFIG_KEY_STREAM,
+    CONFIG_KEY_STRICT_RESUME,
    CONFIG_KEY_TASK_ID,
    INTERRUPT,
    NS_SEP,
@@ -81,6 +82,7 @@ _CONF_DROPLIST = frozenset(
        CONFIG_KEY_CHECKPOINT_ID,
        CONFIG_KEY_CHECKPOINT_NS,
        CONFIG_KEY_TASK_ID,
+        CONFIG_KEY_STRICT_RESUME,
    ),
 )

@@ -33,6 +33,7 @@ from xxhash import xxh3_128_hexdigest

 from langgraph._internal._cache import default_cache_key
 from langgraph._internal._constants import INTERRUPT as _INTERRUPT_KEY
+from langgraph._internal._constants import NS_SEP
 from langgraph._internal._fields import get_cached_annotated_keys, get_update_as_tuples
 from langgraph._internal._retry import default_retry_on
 from langgraph._internal._typing import MISSING, DeprecatedKwargs
@@ -579,6 +580,15 @@ def omit_payload(_value: Any) -> dict[str, Any]:
 _DEFAULT_INTERRUPT_ID = "placeholder-id"


+def _interrupt_id(ns: str, answered: int) -> str:
+    # Keyed by how many answers the task already has, the slot this interrupt's
+    # answer fills; call order isn't stable across parallel calls in one task.
+    # With none it's the bare namespace hash older versions gave every
+    # interrupt, so saved ids still match. The suffix can't form another task's
+    # namespace, whose segments all contain ":".
+    return xxh3_128_hexdigest((f"{ns}{NS_SEP}{answered}" if answered else ns).encode())
+
+
@final
@dataclass(init=False, slots=True)
 class Interrupt(Generic[ResponseT]):
@@ -641,7 +651,7 @@ class Interrupt(Generic[ResponseT]):
    ) -> Interrupt[ResponseT]:
        return cls(
            value=value,
-            id=xxh3_128_hexdigest(ns.encode()),
+            id=_interrupt_id(ns, 0),
            response_schema=response_schema,
        )

@@ -1037,9 +1047,11 @@ def interrupt(
    # no resume value found
    raise GraphInterrupt(
        (
-            Interrupt.from_ns(
+            Interrupt(
                value=value,
-                ns=conf[CONFIG_KEY_CHECKPOINT_NS],
+                id=_interrupt_id(
+                    conf[CONFIG_KEY_CHECKPOINT_NS], len(scratchpad.resume)
+                ),
                response_schema=adapter.json_schema() if adapter else response_schema,
            ),
        )
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "1.2.19"
+version = "1.2.20"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
 requires-python = ">=3.10"
@@ -16,7 +16,7 @@ from langgraph_sdk.schema import StreamPart
 from pydantic import BaseModel
 from typing_extensions import TypedDict

-from langgraph._internal._constants import CONFIG_KEY_STREAM
+from langgraph._internal._constants import CONFIG_KEY_STREAM, CONFIG_KEY_STRICT_RESUME
 from langgraph.errors import GraphInterrupt
 from langgraph.graph import END, START, MessagesState, StateGraph, add_messages
 from langgraph.pregel import Pregel
@@ -1360,6 +1360,7 @@ def test_sanitize_config():
            "checkpoint_map": {"key": "value"},  # Should be dropped
            "checkpoint_id": "123",  # Should be dropped
            "checkpoint_ns": "ns",  # Should be dropped
+            CONFIG_KEY_STRICT_RESUME: True,  # Should be dropped
        }
    }
    sanitized = remote._sanitize_config(config_with_drops)
@@ -0,0 +1,423 @@
+import operator
+import sys
+import uuid
+from typing import Annotated
+
+import pytest
+from langchain_core.runnables import RunnableConfig
+from langchain_core.runnables.config import get_executor_for_config
+from langgraph.checkpoint.base import BaseCheckpointSaver
+from typing_extensions import TypedDict
+from xxhash import xxh3_128_hexdigest
+
+from langgraph._internal._constants import CONFIG_KEY_STRICT_RESUME, INTERRUPT
+from langgraph.errors import UnknownInterruptError
+from langgraph.graph import START, StateGraph
+from langgraph.graph.state import CompiledStateGraph
+from langgraph.types import Command, Durability, Interrupt, RetryPolicy, interrupt
+
+pytestmark = pytest.mark.anyio
+NEEDS_CONTEXTVARS = pytest.mark.skipif(
+    sys.version_info < (3, 11),
+    reason="Python 3.11+ is required for async contextvars support",
+)
+
+UNKNOWN_ID = "0" * 32
+
+
+class State(TypedDict, total=False):
+    log: Annotated[list[str], operator.add]
+
+
+def _config(*, strict: bool = True) -> RunnableConfig:
+    return {
+        "configurable": {
+            "thread_id": str(uuid.uuid4()),
+            CONFIG_KEY_STRICT_RESUME: strict,
+        }
+    }
+
+
+def _parallel(checkpointer: BaseCheckpointSaver) -> CompiledStateGraph:
+    def a(state: State):
+        return {"log": [f"a:{interrupt('a?')}"]}
+
+    def b(state: State):
+        return {"log": [f"b:{interrupt('b?')}"]}
+
+    return (
+        StateGraph(State)
+        .add_node("a", a)
+        .add_node("b", b)
+        .add_edge(START, "a")
+        .add_edge(START, "b")
+        .compile(checkpointer=checkpointer)
+    )
+
+
+def _ask_twice(checkpointer: BaseCheckpointSaver) -> CompiledStateGraph:
+    def ask_twice(state: State):
+        first = interrupt("first?")
+        second = interrupt("second?")
+        return {"log": [f"{first},{second}"]}
+
+    return (
+        StateGraph(State)
+        .add_node("ask", ask_twice)
+        .add_edge(START, "ask")
+        .compile(checkpointer=checkpointer)
+    )
+
+
+def _ask_then_fail_once(checkpointer: BaseCheckpointSaver) -> CompiledStateGraph:
+    failures = [ConnectionError("flaky api")]
+
+    def ask(state: State):
+        answer = interrupt("delete a.txt?")
+        if failures:
+            raise failures.pop()
+        return {"log": [answer]}
+
+    return (
+        StateGraph(State)
+        .add_node(
+            "ask", ask, retry_policy=RetryPolicy(initial_interval=0, jitter=False)
+        )
+        .add_edge(START, "ask")
+        .compile(checkpointer=checkpointer)
+    )
+
+
+def _pending_ids(graph: CompiledStateGraph, config: RunnableConfig) -> dict[str, str]:
+    return {i.value: i.id for i in graph.get_state(config).interrupts}
+
+
+def test_unknown_id_is_refused_before_anything_is_written(
+    sync_checkpointer: BaseCheckpointSaver, durability: Durability
+) -> None:
+    graph = _parallel(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config, durability=durability)
+    before = graph.get_state(config)
+    checkpoints = len(list(sync_checkpointer.list(config)))
+    ids = _pending_ids(graph, config)
+
+    with pytest.raises(
+        UnknownInterruptError,
+        match=f"Unknown or already-consumed interrupt: {UNKNOWN_ID}",
+    ) as refused:
+        graph.invoke(Command(resume={UNKNOWN_ID: "x"}), config, durability=durability)
+
+    assert (
+        refused.value.reason,
+        refused.value.interrupt_ids,
+        refused.value.pending_ids,
+    ) == ("not_pending", (UNKNOWN_ID,), tuple(sorted(ids.values())))
+    after = graph.get_state(config)
+    assert len(list(sync_checkpointer.list(config))) == checkpoints
+    assert (after.values, after.next, after.interrupts) == (
+        before.values,
+        before.next,
+        before.interrupts,
+    )
+    result = graph.invoke(
+        Command(resume={ids["a?"]: "yes", ids["b?"]: "no"}),
+        config,
+        durability=durability,
+    )
+    assert sorted(result["log"]) == ["a:yes", "b:no"]
+
+
+def test_an_answered_id_is_refused(sync_checkpointer: BaseCheckpointSaver) -> None:
+    graph = _parallel(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+    ids = _pending_ids(graph, config)
+    graph.invoke(Command(resume={ids["a?"]: "yes"}), config)
+
+    with pytest.raises(UnknownInterruptError, match=ids["a?"]) as refused:
+        graph.invoke(Command(resume={ids["a?"]: "again"}), config)
+
+    assert (
+        refused.value.reason,
+        refused.value.interrupt_ids,
+        refused.value.pending_ids,
+    ) == ("not_pending", (ids["a?"],), (ids["b?"],))
+
+    result = graph.invoke(Command(resume={ids["b?"]: "no"}), config)
+    assert sorted(result["log"]) == ["a:yes", "b:no"]
+
+
+def test_an_empty_map_is_refused(sync_checkpointer: BaseCheckpointSaver) -> None:
+    graph = _parallel(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+
+    with pytest.raises(UnknownInterruptError, match="names no interrupt") as refused:
+        graph.invoke(Command(resume={}), config)
+
+    assert (
+        refused.value.reason,
+        refused.value.interrupt_ids,
+        refused.value.pending_ids,
+    ) == ("empty_map", (), tuple(sorted(_pending_ids(graph, config).values())))
+
+
+def test_one_value_is_refused_while_several_are_pending(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _parallel(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+
+    with pytest.raises(
+        UnknownInterruptError, match="multiple pending interrupts"
+    ) as refused:
+        graph.invoke(Command(resume="yes"), config)
+
+    ids = _pending_ids(graph, config)
+    assert (refused.value.reason, refused.value.pending_ids) == (
+        "ambiguous",
+        tuple(sorted(ids.values())),
+    )
+    graph.invoke(Command(resume={ids["a?"]: "yes"}), config)
+    result = graph.invoke(Command(resume="no"), config)
+    assert sorted(result["log"]) == ["a:yes", "b:no"]
+
+
+def test_one_value_resumes_a_static_breakpoint(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = (
+        StateGraph(State)
+        .add_node("a", lambda state: {"log": ["a"]})
+        .add_edge(START, "a")
+        .compile(checkpointer=sync_checkpointer, interrupt_before=["a"])
+    )
+    config = _config()
+    graph.invoke({"log": []}, config)
+
+    with pytest.raises(UnknownInterruptError, match=UNKNOWN_ID):
+        graph.invoke(Command(resume={UNKNOWN_ID: "x"}), config)
+
+    assert graph.invoke(Command(resume="go"), config) == {"log": ["a"]}
+
+
+def test_without_strict_mode_nothing_changes(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _parallel(sync_checkpointer)
+    config = _config(strict=False)
+    graph.invoke({"log": []}, config)
+
+    graph.invoke(Command(resume={UNKNOWN_ID: "x"}), config)
+    assert set(_pending_ids(graph, config)) == {"a?", "b?"}
+    with pytest.raises(RuntimeError, match="multiple pending interrupts"):
+        graph.invoke(Command(resume="yes"), config)
+
+
+def test_a_subgraph_interrupt_is_answered_by_its_id(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    def ask(state: State):
+        return {"log": [f"asked:{interrupt('sub?')}"]}
+
+    subgraph = StateGraph(State).add_node("ask", ask).add_edge(START, "ask").compile()
+    graph = (
+        StateGraph(State)
+        .add_node("sub", subgraph)
+        .add_edge(START, "sub")
+        .compile(checkpointer=sync_checkpointer)
+    )
+    config = _config()
+    graph.invoke({"log": []}, config)
+
+    result = graph.invoke(
+        Command(resume={_pending_ids(graph, config)["sub?"]: "yes"}), config
+    )
+    assert result["log"] == ["asked:yes"]
+
+
+def test_a_second_interrupt_in_one_node_gets_its_own_id(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _ask_twice(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+    state = graph.get_state(config)
+    (card,) = state.interrupts
+    assert card.id == xxh3_128_hexdigest(f"ask:{state.tasks[0].id}".encode())
+    graph.invoke(Command(resume={card.id: "1"}), config)
+    (second,) = graph.get_state(config).interrupts
+    assert second.id != card.id
+
+    result = graph.invoke(Command(resume={second.id: "2"}), config)
+    assert result["log"] == ["1,2"]
+
+
+def test_a_retried_answer_in_one_node_is_refused(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _ask_twice(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+    (card,) = graph.get_state(config).interrupts
+    graph.invoke(Command(resume={card.id: "yes"}), config)
+    (second,) = graph.get_state(config).interrupts
+
+    with pytest.raises(UnknownInterruptError) as refused:
+        graph.invoke(Command(resume={card.id: "yes"}), config)
+
+    assert (
+        refused.value.reason,
+        refused.value.interrupt_ids,
+        refused.value.pending_ids,
+    ) == ("not_pending", (card.id,), (second.id,))
+    result = graph.invoke(Command(resume={second.id: "no"}), config)
+    assert result["log"] == ["yes,no"]
+
+
+def test_parallel_interrupts_in_one_node_each_take_an_answer(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    def ask(name: str) -> str:
+        return interrupt(f"{name}?")
+
+    def ask_in_parallel(state: State, config: RunnableConfig):
+        with get_executor_for_config(config) as pool:
+            b = pool.submit(ask, "b")
+            b.exception()
+            a = pool.submit(ask, "a")
+            return {"log": [f"{a.result()},{b.result()}"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("ask", ask_in_parallel)
+        .add_edge(START, "ask")
+        .compile(checkpointer=sync_checkpointer)
+    )
+    config = _config()
+    graph.invoke({"log": []}, config)
+    for answer in ("1", "2"):
+        (card,) = graph.get_state(config).interrupts
+        graph.invoke(Command(resume={card.id: answer}), config)
+
+    assert graph.get_state(config).next == ()
+
+
+def test_a_later_interrupt_saved_with_the_first_id_is_still_answered(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _ask_twice(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+    (card,) = graph.get_state(config).interrupts
+    graph.invoke(Command(resume={card.id: "1"}), config)
+    state = graph.get_state(config)
+    sync_checkpointer.put_writes(
+        state.config,
+        [(INTERRUPT, (Interrupt(value="second?", id=card.id),))],
+        state.tasks[0].id,
+    )
+
+    result = graph.invoke(Command(resume={card.id: "2"}), config)
+    assert result["log"] == ["1,2"]
+
+
+def test_a_retried_node_reuses_its_answer(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _ask_then_fail_once(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+    (card,) = graph.get_state(config).interrupts
+
+    result = graph.invoke(Command(resume={card.id: "yes"}), config)
+    assert result["log"] == ["yes"]
+
+
+def test_a_card_whose_resumed_task_raised_is_not_refused(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    failures = ["once"]
+
+    def ask_then_fail_once(state: State):
+        answer = interrupt("approve?")
+        if failures:
+            failures.pop()
+            raise ValueError("failed after the answer")
+        return {"log": [f"answered:{answer}"]}
+
+    graph = (
+        StateGraph(State)
+        .add_node("ask", ask_then_fail_once)
+        .add_edge(START, "ask")
+        .compile(checkpointer=sync_checkpointer)
+    )
+    config = _config()
+    graph.invoke({"log": []}, config)
+    (card,) = graph.get_state(config).interrupts
+    with pytest.raises(ValueError, match="failed after the answer"):
+        graph.invoke(Command(resume={card.id: "first"}), config)
+
+    graph.invoke(Command(resume={card.id: "second"}), config)
+    assert graph.get_state(config).next == ()
+
+
+def test_a_pinned_head_checkpoint_is_checked(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _parallel(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+    head = graph.get_state(config).config
+    pinned = {"configurable": {**config["configurable"], **head["configurable"]}}
+
+    with pytest.raises(UnknownInterruptError):
+        graph.invoke(Command(resume={UNKNOWN_ID: "x"}), pinned)
+
+    ids = _pending_ids(graph, config)
+    result = graph.invoke(Command(resume={ids["a?"]: "yes", ids["b?"]: "no"}), pinned)
+    assert sorted(result["log"]) == ["a:yes", "b:no"]
+
+
+def test_a_superseded_checkpoint_is_not_checked(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _parallel(sync_checkpointer)
+    config = _config()
+    graph.invoke({"log": []}, config)
+    paused = graph.get_state(config).config
+    ids = _pending_ids(graph, config)
+    graph.invoke(Command(resume={ids["a?"]: "yes", ids["b?"]: "no"}), config)
+
+    pinned = {"configurable": {**config["configurable"], **paused["configurable"]}}
+    graph.invoke(Command(resume={ids["a?"]: "again", ids["b?"]: "again"}), pinned)
+
+
+@NEEDS_CONTEXTVARS
+async def test_unknown_id_is_refused_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _parallel(async_checkpointer)
+    config = _config()
+    await graph.ainvoke({"log": []}, config)
+
+    with pytest.raises(UnknownInterruptError, match=UNKNOWN_ID):
+        await graph.ainvoke(Command(resume={UNKNOWN_ID: "x"}), config)
+
+    state = await graph.aget_state(config)
+    assert {i.value for i in state.interrupts} == {"a?", "b?"}
+
+
+@NEEDS_CONTEXTVARS
+async def test_a_retried_node_reuses_its_answer_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    graph = _ask_then_fail_once(async_checkpointer)
+    config = _config()
+    await graph.ainvoke({"log": []}, config)
+    (card,) = (await graph.aget_state(config)).interrupts
+
+    result = await graph.ainvoke(Command(resume={card.id: "yes"}), config)
+    assert result["log"] == ["yes"]
@@ -6,16 +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, and
+finding the subgraph a namespace names.
 """

+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 +693,301 @@ 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"]}
+
+
+def _prefix_named_subgraphs() -> tuple[Any, dict[str, Any]]:
+    """A parent whose subgraph namespaces start with one another's names:
+    `research` has a `review` subgraph, and the parent declares
+    `research_review` and `review` too. Returns the parent and each subgraph,
+    keyed by its namespace."""
+    graphs = {
+        "research|review": _notes_graph("research's review"),
+        "research_review": _notes_graph("research_review"),
+        "review": _notes_graph("review"),
+    }
+    graphs["research"] = (
+        StateGraph(NotesState)
+        .add_node("review", graphs["research|review"])
+        .add_edge(START, "review")
+        .compile()
+    )
+    parent = (
+        StateGraph(NotesState)
+        .add_node("research", graphs["research"])
+        .add_node("research_review", graphs["research_review"])
+        .add_node("review", graphs["review"])
+        .add_edge(START, "research")
+        .add_edge("research", "research_review")
+        .add_edge("research_review", "review")
+        .compile()
+    )
+    return parent, graphs
+
+
+@pytest.mark.parametrize(
+    "namespace", ["research", "research|review", "research_review", "review"]
+)
+def test_get_subgraphs_matches_whole_namespace_segments(namespace: str) -> None:
+    """`get_subgraphs(namespace=...)` yields only the subgraph at that
+    namespace. `research_review` isn't `research` then `review`, and
+    `research|review` doesn't also find the parent's own `review`."""
+    parent, graphs = _prefix_named_subgraphs()
+
+    assert list(parent.get_subgraphs(namespace=namespace, recurse=True)) == [
+        (namespace, graphs[namespace])
+    ]
+
+
+def test_nested_namespace_update_raises_despite_top_level_namesake(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """`research|review` names a `review` inside `research`'s subgraph, which
+    declares no subgraph there. An update to it raises rather than writing
+    through the parent's own `review`."""
+    research = (
+        StateGraph(NotesState)
+        .add_node("review", lambda state: {})
+        .add_edge(START, "review")
+        .compile()
+    )
+    parent = (
+        StateGraph(NotesState)
+        .add_node("research", research)
+        .add_node("review", _notes_graph("review"))
+        .add_edge(START, "research")
+        .add_edge("research", "review")
+        .compile(checkpointer=sync_checkpointer)
+    )
+    config: RunnableConfig = {
+        "configurable": {
+            "thread_id": str(uuid4()),
+            "checkpoint_ns": "research:a|review:b",
+        }
+    }
+
+    with pytest.raises(ValueError, match=r"Subgraph research\|review not found"):
+        parent.update_state(config, {"notes": "edit"})
@@ -6,18 +6,25 @@ 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, and
+finding the subgraph a namespace names.
 """

 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 +714,315 @@ 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"]
+        }
+
+
+def _prefix_named_subgraphs() -> tuple[Any, dict[str, Any]]:
+    """A parent whose subgraph namespaces start with one another's names:
+    `research` has a `review` subgraph, and the parent declares
+    `research_review` and `review` too. Returns the parent and each subgraph,
+    keyed by its namespace."""
+    graphs = {
+        "research|review": _notes_graph("research's review"),
+        "research_review": _notes_graph("research_review"),
+        "review": _notes_graph("review"),
+    }
+    graphs["research"] = (
+        StateGraph(NotesState)
+        .add_node("review", graphs["research|review"])
+        .add_edge(START, "review")
+        .compile()
+    )
+    parent = (
+        StateGraph(NotesState)
+        .add_node("research", graphs["research"])
+        .add_node("research_review", graphs["research_review"])
+        .add_node("review", graphs["review"])
+        .add_edge(START, "research")
+        .add_edge("research", "research_review")
+        .add_edge("research_review", "review")
+        .compile()
+    )
+    return parent, graphs
+
+
+@pytest.mark.parametrize(
+    "namespace", ["research", "research|review", "research_review", "review"]
+)
+async def test_get_subgraphs_matches_whole_namespace_segments_async(
+    namespace: str,
+) -> None:
+    """`aget_subgraphs(namespace=...)` yields only the subgraph at that
+    namespace. `research_review` isn't `research` then `review`, and
+    `research|review` doesn't also find the parent's own `review`."""
+    parent, graphs = _prefix_named_subgraphs()
+
+    assert [
+        s async for s in parent.aget_subgraphs(namespace=namespace, recurse=True)
+    ] == [(namespace, graphs[namespace])]
+
+
+async def test_nested_namespace_update_raises_despite_top_level_namesake_async(
+    async_checkpointer: BaseCheckpointSaver,
+) -> None:
+    """`research|review` names a `review` inside `research`'s subgraph, which
+    declares no subgraph there. An update to it raises rather than writing
+    through the parent's own `review`."""
+    research = (
+        StateGraph(NotesState)
+        .add_node("review", lambda state: {})
+        .add_edge(START, "review")
+        .compile()
+    )
+    parent = (
+        StateGraph(NotesState)
+        .add_node("research", research)
+        .add_node("review", _notes_graph("review"))
+        .add_edge(START, "research")
+        .add_edge("research", "review")
+        .compile(checkpointer=async_checkpointer)
+    )
+    config: RunnableConfig = {
+        "configurable": {
+            "thread_id": str(uuid4()),
+            "checkpoint_ns": "research:a|review:b",
+        }
+    }
+
+    with pytest.raises(ValueError, match=r"Subgraph research\|review not found"):
+        await parent.aupdate_state(config, {"notes": "edit"})
@@ -706,139 +706,139 @@ wheels = [

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+version = "1.81.1"
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+]
+
 [[package]]
 name = "uvicorn"
 version = "0.40.0"
@@ -638,15 +638,15 @@ def create_react_agent(
            messages = (
                _get_state_value(state, "llm_input_messages")
            ) or _get_state_value(state, "messages")
-            error_msg = f"Expected input to call_model to have 'llm_input_messages' or 'messages' key, but got {state}"
+            expected_keys = "'llm_input_messages' or 'messages' key"
        else:
            messages = _get_state_value(state, "messages")
-            error_msg = (
-                f"Expected input to call_model to have 'messages' key, but got {state}"
-            )
+            expected_keys = "'messages' key"

        if messages is None:
-            raise ValueError(error_msg)
+            raise ValueError(
+                f"Expected input to call_model to have {expected_keys}, but got {state}"
+            )

        _validate_chat_history(messages)
        # we're passing messages under `messages` key, as this is expected by the prompt
@@ -286,7 +286,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "1.2.19"
+version = "1.2.20"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
@@ -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__ = "0.4.12"
+__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.

@@ -305,7 +312,7 @@ class RunsClient:
            StreamPart(event='metadata', data={'run_id': '1ef4a9b8-d7da-679a-a45a-872054341df2'})
            StreamPart(event='values', data={'messages': [{'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'fe0a5778-cfe9-42ee-b807-0adaa1873c10', 'example': False}]})
            StreamPart(event='values', data={'messages': [{'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'fe0a5778-cfe9-42ee-b807-0adaa1873c10', 'example': False}, {'content': "I'm doing well, thanks for asking! I'm an AI assistant created by Anthropic to be helpful, honest, and harmless.", 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'ai', 'name': None, 'id': 'run-159b782c-b679-4830-83c6-cef87798fe8b', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None}]})
-            StreamPart(event='end', data=None)
+            StreamPart(event='end', data={'run_id': '1ef4a9b8-d7da-679a-a45a-872054341df2', 'status': 'success'})
            ```

        """
@@ -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.

@@ -302,7 +309,7 @@ class SyncRunsClient:
            StreamPart(event='metadata', data={'run_id': '1ef4a9b8-d7da-679a-a45a-872054341df2'})
            StreamPart(event='values', data={'messages': [{'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'fe0a5778-cfe9-42ee-b807-0adaa1873c10', 'example': False}]})
            StreamPart(event='values', data={'messages': [{'content': 'how are you?', 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'human', 'name': None, 'id': 'fe0a5778-cfe9-42ee-b807-0adaa1873c10', 'example': False}, {'content': "I'm doing well, thanks for asking! I'm an AI assistant created by Anthropic to be helpful, honest, and harmless.", 'additional_kwargs': {}, 'response_metadata': {}, 'type': 'ai', 'name': None, 'id': 'run-159b782c-b679-4830-83c6-cef87798fe8b', 'example': False, 'tool_calls': [], 'invalid_tool_calls': [], 'usage_metadata': None}]})
-            StreamPart(event='end', data=None)
+            StreamPart(event='end', data={'run_id': '1ef4a9b8-d7da-679a-a45a-872054341df2', 'status': 'success'})
            ```
        """
        if checkpoint_during is not None:
@@ -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"]
@@ -380,6 +384,8 @@ class Run(TypedDict):
    """The run metadata."""
    multitask_strategy: MultitaskStrategy
    """Strategy to handle concurrent runs on the same thread."""
+    cancel_reason: NotRequired[str | None]
+    """Why the run was cancelled, if it was. Omitted by older servers."""


 class Cron(TypedDict):
@@ -505,6 +511,7 @@ RunSelectField = Literal[
    "metadata",
    "kwargs",
    "multitask_strategy",
+    "cancel_reason",
 ]

 CronSelectField = Literal[
@@ -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
@@ -301,7 +301,7 @@ wheels = [

 [[package]]
 name = "langgraph"
-version = "1.2.19"
+version = "1.2.20"
 source = { editable = "../langgraph" }
 dependencies = [
    { name = "langchain-core" },
Author	SHA1	Message	Date
Elior Nataf Lackritz	0823d5a5c5	perf(prebuilt): only format the call_model error message when raising	2026-11-07 15:48:22 -05:00
Richard Scarrott	e5e37b5d70	fix(langgraph): match whole namespace segments in get_subgraphs (#9615 ) Follows up [this review comment](https://github.com/langchain-ai/langgraph/pull/9614#discussion_r4493053567) on #9614. ## Summary `get_subgraphs(namespace=...)` matched node names by string prefix and reassigned `namespace` inside the loop. It now matches whole segments. ```diff for name, node in self.nodes - skip unless ns.startswith(name) + skip unless ns == name or ns.startswith(name + NS_SEP) - ns = ns[len(name) + 1:] # every later node sees this - recurse with ns + recurse with ns[len(name) + 1:] ``` `_subgraph_for_namespace` filters with `namespace=` again, and #9614's workaround comment is gone. Behaviour change. With `namespace=` and `recurse=True`, `get_subgraphs` and `aget_subgraphs` yield only the subgraph at that namespace. Take a `research` node whose subgraph has a `review` node, plus top-level `research_review` and `review` nodes: \| `namespace=` \| before \| after \| \| ------------------ \| ---------------------------------------- \| ------------------ \| \| `research_review` \| `research\\|review`, the parent's `review` \| `research_review` \| \| `research\\|review` \| `research\\|review`, the parent's `review` \| `research\\|review` \| The Agent Server's `GET /assistants/{id}/subgraphs/{namespace}?recurse=true` is the only other caller that passes a namespace, and its response changes the same way. JS `getSubgraphs` has the same prefix match but doesn't reassign, so for `research_review` it lists `research\|review` before the right graph. JS state reads compare exact names and are unaffected. JS should get the same fix in a follow-up. ## Evidence New sync and async tests: - `test_get_subgraphs_matches_whole_namespace_segments` checks that each namespace yields only its own graph. It fails on `main`. - `test_nested_namespace_update_raises_despite_top_level_namesake` checks that `update_state` on `research\|review` raises when `research` declares no `review`, instead of writing through the parent's `review`. It fails if only `get_subgraphs` is reverted. `make format lint test` passes. ## Merge Danger Door: two-way Blast Radius: small. Callers that pass `namespace=` get fewer results, and each result they lose was at the wrong namespace.	2026-11-06 16:08:12 +00:00
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
Elior Nataf Lackritz	302a4d4caf	release(cli): 0.4.41 (#9596 ) Bumps langgraph-cli from 0.4.40 to 0.4.41. Includes: - Remove the outdated private-beta notice for `--agent-id` and `--agent-environment` from `langgraph deploy` (#9506)	2026-11-04 21:28:17 -05:00
Elior Nataf Lackritz	cf260dac7f	ci(cli): compare the prerelease example's versions with its pins (#9597 ) Dependabot bumped the `langgraph` pin in the CLI's `graph_prerelease_reqs` example from 1.2.6 to 1.2.19 (#9513), but the integration test compared the built image against versions written into the workflow. Every CLI PR that runs that check now fails with `LANGGRAPH_VERSION != 1.2.6; 1.2.19`. Dependabot's own run passed only because the check needs the LangSmith secret, which dependabot runs don't get. The check now reads each `name==version` pin from the example's `pyproject.toml` and compares it with the version installed in the image, so later bumps can't break it. It fails if it finds no pins.	2026-11-04 21:19:51 -05:00
Elior Nataf Lackritz	a4d4187e82	release(langgraph): 1.2.20 (#9595 ) Bumps langgraph from 1.2.19 to 1.2.20. Includes: - Add an opt-in strict resume mode that raises `UnknownInterruptError` instead of ignoring a stale or ambiguous interrupt answer (#9574) - Give each `interrupt()` in a task its own id; an interrupt raised after its task already got an answer now gets a new id (#9589) - Point the multiple-interrupts error at the current docs (#9590)	2026-11-04 21:13:38 -05:00
Elior Nataf Lackritz	572e83cf6e	release(sdk-py): 0.4.13 (#9594 ) Bumps the Python SDK version from 0.4.12 to 0.4.13. Includes: - Add `select` to `threads.get_state` and `threads.get_history`, so the server can skip loading state keys you don't need (#9568) - Add `cancel_reason` to `Run` (#9571) - Show the run's id and status in the `runs.stream` example's end event (#9588)	2026-11-04 21:07:57 -05:00
Elior Nataf Lackritz	6ea1751a93	feat(langgraph): give each interrupt() in a task its own id (#9589 ) Depends on #9574. Every `interrupt()` call in one task got the same id, a hash of the task's namespace. So in strict resume mode (#9574), an answer retried after a node asked its next question was taken as the answer to that question: the shared id was still pending. Sera found this on #9574. Now an interrupt's id also hashes how many answers its task already has, which is the slot its answer fills. With none, it stays the bare namespace hash, so a node that asks once keeps its id. The count is used rather than call order because parallel `interrupt()` calls in one task are numbered in whatever order they run. When a resume map has no entry for the task's next interrupt, the first id still answers it, so ids saved by older versions keep working. A retry policy reruns a node from its first line, but the retried node kept counting its `interrupt()` calls from the failed attempt, so it asked again a question it already had an answer to. On main the second answer still goes through, because all of a task's interrupts share one id; with the new ids it was dropped. A retry now counts the calls from the first again, so the node reuses its answers and doesn't ask again. Sera found this too. This changes the id of an interrupt raised after its task already got an answer. Clients that take ids from the state or the stream aren't affected. Several interrupts from one task, such as parallel tools in one `ToolNode`, are still answered in the order the task raises them. ## Test plan - `tests/test_strict_resume.py`: - a second interrupt in one node gets its own id, and the first keeps the namespace hash; - an answer retried in one node is refused (`not_pending`), and the second question is then answered by its own id; - parallel interrupts in one node each take an answer, even when the one called second is the one the node raises; - a later interrupt saved with the first id, as older versions did, is still answered; - a node that fails after its answer and is retried reuses the answer instead of asking again, sync and async. - Without the new ids, the first two fail; keyed by call order instead of the answer count, the parallel case fails; without the fallback to the first id, the saved-id case fails; without the reset in `run_with_retry` or `arun_with_retry`, its retry test fails. - Full suite with `NO_DOCKER=true`: 2886 passed. `libs/prebuilt` with `NO_DOCKER=true`: 256 passed.	2026-11-04 15:53:32 -05:00
Elior Nataf Lackritz	22ac52e278	fix(langgraph): point the multiple-interrupts error at the current docs (#9590 ) The error for one resume value while several interrupts are pending linked to `add-human-in-the-loop#resume-multiple-interrupts-with-one-invocation`, which now returns 404. It now links to the "Handling multiple interrupts" section of the interrupts page, which shows how to map each interrupt id to its answer. Sera found it on #9589.	2026-11-04 15:38:18 -05:00
Elior Nataf Lackritz	dbc60dd112	feat(langgraph): add a strict resume mode that refuses stale interrupt answers (#9574 ) Today a `Command(resume=...)` that names an interrupt id that is no longer pending is silently ignored. The interrupted tasks run again up to `interrupt()`, and the graph pauses on the same interrupts, with no error. A client that answers an interrupt twice, or answers one that was dropped, can't tell anything went wrong. This adds an opt-in strict mode, turned on by the private configurable key `__pregel_strict_resume` (`CONFIG_KEY_STRICT_RESUME`). With it set, the root graph raises `UnknownInterruptError` before writing anything when the resume: - names an interrupt id that is not pending; - is an empty map; - is one value while several interrupts are pending (today this raises `RuntimeError`). One value with no interrupt pending is still accepted, because it resumes a graph paused at a static breakpoint (`interrupt_before` or `interrupt_after`). The error's `reason` (`not_pending`, `empty_map` or `ambiguous`) says which case it was, and `interrupt_ids` and `pending_ids` carry the ids involved. Known gap: the interrupts one task raises share an id, so an answer retried after the task asked its next question answers that question. #9589 fixes it by giving each `interrupt()` in a task its own id. The check reads the same pending interrupts the resume is applied to. That covers subgraph interrupts, functional API tasks and a pinned checkpoint. It is skipped for nested graphs, and when resuming at a checkpoint the thread has moved past, because there a finished task can rerun and interrupt again. Without the key, nothing changes. `RemoteGraph` doesn't forward the key, so the remote side decides for its own runs. A matching langgraphjs change follows. ## Test plan - `tests/test_strict_resume.py`, 44 cases over the in-memory and SQLite savers and all three durability modes: - an unknown id, an answered id, `{}`, and one value with two interrupts pending are refused, and nothing is written; - a subgraph interrupt, a second `interrupt()` in the same node, a resumed task that raised, a pinned head checkpoint, and one value at a static breakpoint all pass; - a superseded checkpoint isn't checked; - an answer retried in one node reaches its next interrupt (the known gap); - without the key, today's behavior is kept. - Without the loop change, the 26 cases that expect a refusal fail and the 18 others pass. - `test_sanitize_config` covers the `RemoteGraph` drop. - Full suite with `NO_DOCKER=true`: 2875 passed.	2026-11-04 15:01:48 -05:00
Caspar Broekhuizen	b1baa6e0c3	feat(sdk-py): add cancel_reason to Run (#9571 ) Adds `cancel_reason: NotRequired[str \| None]` to `Run` and to `RunSelectField`. The Agent Server already returns the field and accepts it in `select`. It is `NotRequired` because older servers omit it. JS SDK: langchain-ai/langgraphjs#3206. Verified with `make format`, `make lint` and `make test` in `libs/sdk-py`.	2026-11-04 11:39:54 -08:00
Elior Nataf Lackritz	25ccdc8091	docs(sdk-py): show the run's status in the stream example's end event (#9588 ) The `runs.stream` examples now show the `end` event's `run_id` and `status` instead of `data=None`. JS twin: langchain-ai/langgraphjs#3219.	2026-11-04 12:53:13 -05:00