feat(cli): expose Agent Server flags without breaking scripts

Co-authored-by: Robin <open-swe@users.noreply.github.com>

.github/workflows/_integration_test.yml

@@ -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' }}

libs/cli/README.md

@@ -40,7 +40,7 @@ langgraph new [PATH] --template TEMPLATE_NAME
 
 ### `langgraph dev` 🏃‍♀️
 
-Run LangGraph API server in development mode with hot reloading.
+Run Agent Server in development mode with hot reloading.
 
 ```bash
 langgraph dev [OPTIONS]
@@ -54,7 +54,7 @@ langgraph dev [OPTIONS]
 
 ### `langgraph up` 🚀
 
-Launch LangGraph API server in Docker.
+Launch Agent Server in Docker.
 
 ```bash
 langgraph up [OPTIONS]
@@ -86,6 +86,71 @@ langgraph dockerfile SAVE_PATH [OPTIONS]
   -c, --config FILE       Config file path
 ```
 
+### `langgraph deploy metrics`
+
+Fetch Agent Server monitoring time series as JSON through the LangSmith control plane.
+Use `langgraph deploy list` to find the Agent Server ID. Authentication uses the same
+API key and workspace configuration as the other `deploy` commands.
+
+```bash
+langgraph deploy metrics AGENT_SERVER_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 Agent Server and platform; a supported metric may have no data. Use
+`lg_run_count` for Agent Server 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 AGENT_SERVER_ID --summary
+langgraph deploy metrics AGENT_SERVER_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 Agent Server 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:

libs/cli/generate_schema.py

@@ -107,6 +107,10 @@ def add_descriptions_to_schema(schema, cls):
     # Recursively process nested definitions
     if "$defs" in schema:
         for def_name, def_schema in schema["$defs"].items():
+            # msgspec copies raw __doc__, which keeps indentation before Python
+            # 3.13, so clean it here too for classes not listed below.
+            if def_schema.get("description"):
+                def_schema["description"] = inspect.cleandoc(def_schema["description"])
             # Find the class that corresponds to this definition
             for potential_cls in [
                 Config,

libs/cli/langgraph_cli/__init__.py

@@ -1 +1 @@
-__version__ = "0.4.40"
+__version__ = "0.4.42"

libs/cli/langgraph_cli/cli.py

@@ -1,4 +1,4 @@
-"""CLI entrypoint for LangGraph API server."""
+"""CLI entrypoint for Agent Server."""
 
 import os
 import pathlib
@@ -45,7 +45,7 @@ OPT_CONFIG = click.option(
 
     \b
     Config file must be a JSON file that has the following keys:
-    - "dependencies": array of dependencies for langgraph API server. Dependencies can be one of the following:
+    - "dependencies": array of dependencies for the Agent Server. Dependencies can be one of the following:
       - ".", which would look for local python packages, as well as pyproject.toml, setup.py or requirements.txt in the app directory
       - "./local_package"
       - "<package_name>
@@ -160,7 +160,7 @@ OPT_API_VERSION = click.option(
     "--api-version",
     type=str,
     help=(
-        "API server version to use for the base image. If unspecified, the "
+        "Agent Server version to use for the base image. If unspecified, the "
         "latest stable version will be used. Compatible ranges like "
         "~=0.11.0.dev5 stay on 0.11.0.dev5 while only newer dev builds exist, "
         "then resolve to the newest matching rc or stable release, for example "
@@ -264,7 +264,7 @@ cli.add_command(deploy)
 @click.option(
     "--base-image",
     default=None,
-    help="Base image to use for the LangGraph API server. Pin to specific versions using version tags. Defaults to langchain/langgraph-api or langchain/langgraphjs-api."
+    help="Base image to use for the Agent Server. Pin to specific versions using version tags. Defaults to langchain/langgraph-api or langchain/langgraphjs-api."
     "\n\n    \b\nExamples:\n    --base-image langchain/langgraph-server:0.2.18  # Pin to a specific patch version"
     "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
@@ -273,7 +273,7 @@ cli.add_command(deploy)
     is_flag=True,
     help="Wait for services to start before returning. Implies --detach",
 )
-@cli.command(help="🚀 Launch LangGraph API server.")
+@cli.command(help="🚀 Launch Agent Server.")
 @log_command
 def up(
     config: pathlib.Path,
@@ -292,9 +292,9 @@ def up(
     image: str | None,
     base_image: str | None,
 ):
-    click.secho("Starting LangGraph API server...", fg="green")
+    click.secho("Starting Agent Server...", fg="green")
     click.secho(
-        """For local dev, requires env var LANGSMITH_API_KEY with access to LangSmith Deployment.
+        """For local dev, requires env var LANGSMITH_API_KEY with access to LangSmith Agent Servers.
 For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KEY.""",
     )
     with Runner() as runner, Progress(message="Pulling...") as set:
@@ -394,7 +394,7 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
 )
 @click.option(
     "--base-image",
-    help="Base image to use for the LangGraph API server. Pin to specific versions using version tags. Defaults to langchain/langgraph-api or langchain/langgraphjs-api."
+    help="Base image to use for the Agent Server. Pin to specific versions using version tags. Defaults to langchain/langgraph-api or langchain/langgraphjs-api."
     "\n\n    \b\nExamples:\n    --base-image langchain/langgraph-server:0.2.18  # Pin to a specific patch version"
     "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
@@ -410,7 +410,7 @@ For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KE
 )
 @click.argument("docker_build_args", nargs=-1, type=click.UNPROCESSED)
 @cli.command(
-    help="📦 Build LangGraph API server Docker image.",
+    help="📦 Build Agent Server Docker image.",
     context_settings=dict(
         ignore_unknown_options=True,
     ),
@@ -527,12 +527,12 @@ tests
 @OPT_CONFIG
 @click.argument("save_path", type=click.Path(resolve_path=True))
 @cli.command(
-    help="🐳 Generate a Dockerfile for the LangGraph API server, with Docker Compose options."
+    help="🐳 Generate a Dockerfile for the Agent Server, with Docker Compose options."
 )
 @click.option(
     "--add-docker-compose",
     help=(
-        "Add additional files for running the LangGraph API server with "
+        "Add additional files for running the Agent Server with "
         "docker-compose. These files include a docker-compose.yml, .env file, "
         "and a .dockerignore file."
     ),
@@ -540,7 +540,7 @@ tests
 )
 @click.option(
     "--base-image",
-    help="Base image to use for the LangGraph API server. Pin to specific versions using version tags. Defaults to langchain/langgraph-api or langchain/langgraphjs-api."
+    help="Base image to use for the Agent Server. Pin to specific versions using version tags. Defaults to langchain/langgraph-api or langchain/langgraphjs-api."
     "\n\n    \b\nExamples:\n    --base-image langchain/langgraph-server:0.2.18  # Pin to a specific patch version"
     "\n    --base-image langchain/langgraph-server:0.2  # Pin to a minor version (Python)",
 )
@@ -632,7 +632,7 @@ def dockerfile(
                         "\n",
                         "# LANGSMITH_API_KEY=your-api-key",
                         "\n",
-                        "# Or if you have a LangSmith Deployment license key, "
+                        "# Or if you have an Agent Server license key, "
                         "then uncomment the following line: ",
                         "\n",
                         "# LANGGRAPH_CLOUD_LICENSE_KEY=your-license-key",
@@ -729,7 +729,7 @@ def dockerfile(
     "--server-log-level",
     type=str,
     default="WARNING",
-    help="Set the log level for the API server.",
+    help="Set the log level for the Agent Server.",
 )
 @click.option(
     "--ssl-certfile",
@@ -757,7 +757,7 @@ def dockerfile(
 )
 @cli.command(
     "dev",
-    help="🏃‍♀️‍➡️ Run LangGraph API server in development mode with hot reloading and debugging support",
+    help="🏃‍♀️‍➡️ Run Agent Server in development mode with hot reloading and debugging support",
 )
 @log_command
 def dev(
@@ -776,7 +776,7 @@ def dev(
     ssl_certfile: pathlib.Path | None,
     ssl_keyfile: pathlib.Path | None,
 ):
-    """CLI entrypoint for running the LangGraph API server."""
+    """CLI entrypoint for running the Agent Server."""
     if (ssl_certfile is None) != (ssl_keyfile is None):
         raise click.UsageError(
             "Both --ssl-certfile and --ssl-keyfile must be provided to enable HTTPS."
@@ -998,7 +998,7 @@ def prepare(
     image: str | None = None,
     base_image: str | None = None,
 ) -> tuple[list[str], str]:
-    """Prepare the arguments and stdin for running the LangGraph API server."""
+    """Prepare the arguments and stdin for running the Agent Server."""
     config_json = langgraph_cli.config.validate_config_file(config_path)
     warn_non_wolfi_distro(config_json)
     # pull latest images

libs/cli/langgraph_cli/deploy.py

@@ -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 (
@@ -136,7 +138,7 @@ class BuildResult:
     progress_message: str = ""
     timeout_seconds: int = 300
     poll_interval_seconds: int = 1
-    no_result_message: str = "Deployment updated"
+    no_result_message: str = "Agent Server updated"
     on_poll: Callable[[str, str, Callable[[str], None]], None] | None = None
     on_interrupt: Callable[[str], None] | None = None
     show_build_logs_on_failure: bool = False
@@ -463,7 +465,7 @@ def deployment_selector(deployment_id: str | None, name: str | None) -> ById | B
         return ById(deployment_id)
     if name:
         return ByName(name)
-    raise click.UsageError("Either --deployment-id or --name is required.")
+    raise click.UsageError("Either --agent-server-id or --name is required.")
 
 
 def validate_deploy_commands(
@@ -511,9 +513,9 @@ def find_deployment_by_name(
 
 
 def normalize_name(value: str | None) -> str:
-    """Sanitize a deployment/directory name into a valid deployment name.
+    """Sanitize an Agent Server/directory name into a valid Agent Server name.
 
-    LangSmith Deployment names only allow lowercase
+    Agent Server names only allow lowercase
     alphanumeric characters and hyphens ([a-z0-9-]).
     Invalid characters are replaced with hyphens.
     """
@@ -569,8 +571,8 @@ def _validate_prebuilt_image(
     if image_platform != _DEPLOYMENT_PLATFORM:
         detected = image_platform or "unknown"
         raise click.ClickException(
-            f"Docker image '{image}' targets {detected}, but LangSmith Deployment "
-            f"requires {_DEPLOYMENT_PLATFORM}. Rebuild or pull the image for "
+            f"Docker image '{image}' targets {detected}, but LangSmith Agent Servers "
+            f"require {_DEPLOYMENT_PLATFORM}. Rebuild or pull the image for "
             f"{_DEPLOYMENT_PLATFORM} before deploying with --image."
         )
     _get_emitter().info(f"Image is available for {_DEPLOYMENT_PLATFORM}")
@@ -641,7 +643,7 @@ class DeploymentRow:
         identifier = _text(deployment, "id")
         if identifier is None:
             raise HostBackendError(
-                "The control plane returned a deployment without an id."
+                "The control plane returned an Agent Server without an id."
             )
         return cls(identifier, _text(deployment, "name"), _deployment_url(deployment))
 
@@ -653,7 +655,7 @@ class DeploymentRow:
 
 
 DEPLOYMENTS_TABLE = Table(
-    ("Deployment ID", "Deployment Name", "Deployment URL"), DeploymentRow.cells
+    ("Agent Server ID", "Agent Server Name", "Agent Server URL"), DeploymentRow.cells
 )
 
 LISTENERS_TABLE = Table(("Listener ID", "Compute ID", "Namespaces"), Listener.cells)
@@ -804,7 +806,7 @@ def _log_deploy_step(step: int, message: str, **extra: object) -> None:
 def _fetch_deployment(
     client: HostBackendClient, step: int, selector: ById
 ) -> tuple[ExistingDeployment, int]:
-    _log_deploy_step(step, f"Using deployment {selector.deployment_id}")
+    _log_deploy_step(step, f"Using Agent Server {selector.deployment_id}")
     resource = _call_host_backend_with_optional_tenant(
         client, lambda c: c.get_deployment(selector.deployment_id)
     )
@@ -831,7 +833,7 @@ def _find_deployment(
         )
         if len(existing) > 1:
             raise click.ClickException(
-                "This control plane does not filter deployments by agent, so the "
+                "This control plane does not filter Agent Servers by agent, so the "
                 f"CLI cannot tell which one belongs to '{selector.agent_id}' in "
                 f"{selector.environment}. Deploy by --name instead."
             )
@@ -844,7 +846,7 @@ def _find_deployment(
             None,
         )
     else:
-        _log_deploy_step(step, f"Looking up deployment '{selector.name}'")
+        _log_deploy_step(step, f"Looking up Agent Server '{selector.name}'")
         found = _call_host_backend_with_optional_tenant(
             client, lambda c: find_deployment_by_name(c, selector.name)
         )
@@ -852,7 +854,7 @@ def _find_deployment(
     if found is None:
         em.warn(not_found_message)
     else:
-        em.info(f"Found existing deployment (ID: {found.id})")
+        em.info(f"Found existing Agent Server (ID: {found.id})")
     return found, step + 1
 
 
@@ -875,9 +877,9 @@ def _create_deployment(
 ) -> tuple[CreatedDeployment, int]:
     _log_deploy_step(
         step,
-        f"Creating deployment for agent '{agent['agent_id']}' in {agent['environment']}"
+        f"Creating Agent Server for agent '{agent['agent_id']}' in {agent['environment']}"
         if agent is not None
-        else f"Creating deployment '{name}'",
+        else f"Creating Agent Server '{name}'",
     )
     try:
         created = client.create_deployment(
@@ -891,7 +893,7 @@ def _create_deployment(
     except HostBackendError as err:
         if agent is not None and err.status_code == 409:
             raise HostBackendError(
-                "This agent already has a deployment in this environment.",
+                "This agent already has an Agent Server in this environment.",
                 status_code=409,
             ) from None
         raise
@@ -901,8 +903,8 @@ def _create_deployment(
             "POST /v2/deployments succeeded but response missing a valid 'id'"
         )
     if agent is not None:
-        _get_emitter().info(f"Deployment name: {created.get('name')}")
-    _get_emitter().info(f"Deployment ID: {created_id}", deployment_id=created_id)
+        _get_emitter().info(f"Agent Server name: {created.get('name')}")
+    _get_emitter().info(f"Agent Server ID: {created_id}", deployment_id=created_id)
     return CreatedDeployment(created_id, created), step + 1
 
 
@@ -1322,10 +1324,10 @@ def _run_local_build(
                 in err.message
             ):
                 raise click.ClickException(
-                    f"Deployment '{deployment_id}' was not created by 'langgraph deploy' "
+                    f"Agent Server '{deployment_id}' was not created by 'langgraph deploy' "
                     "and cannot be updated with this command.\n"
-                    "Please create a new deployment by running 'langgraph deploy' "
-                    "without --deployment-id, or use a different --name."
+                    "Please create a new Agent Server by running 'langgraph deploy' "
+                    "without --agent-server-id, or use a different --name."
                 ) from None
             raise
         deployment_token = push_data.get("token")
@@ -1389,7 +1391,7 @@ def _run_local_build(
             verbose=verbose,
         )
 
-        _log_deploy_step(step, f"Updating deployment {deployment_id}")
+        _log_deploy_step(step, f"Updating Agent Server {deployment_id}")
         updated = client.update_deployment(
             deployment_id,
             resolved_image,
@@ -1398,7 +1400,7 @@ def _run_local_build(
             tracked_packages=tracked_packages,
         )
 
-    return _image_revision_result(updated, "Deployment updated")
+    return _image_revision_result(updated, "Agent Server updated")
 
 
 def _run_remote_build(
@@ -1486,7 +1488,7 @@ def _run_remote_build(
 
     def _handle_interrupt(revision_id: str) -> None:
         em.warn(
-            f"\nInterrupted. Deployment ID: {deployment_id}, Revision ID: {revision_id}"
+            f"\nInterrupted. Agent Server ID: {deployment_id}, Revision ID: {revision_id}"
         )
         em.warn("The build will continue remotely.")
 
@@ -1556,7 +1558,7 @@ def _resolve_or_create(
             "Scale to zero deployments are not supported in AWS environments"
         ):
             raise HostBackendError(
-                f"{err.message}\nUse --deployment-type dev instead.",
+                f"{err.message}\nUse --agent-server-type dev instead.",
                 status_code=err.status_code,
                 detail=err.detail,
             ) from None
@@ -1611,10 +1613,10 @@ def _available_listeners(client: HostBackendClient) -> tuple[Listener, ...]:
 def _ensure_customer_registry_source(existing: ExistingDeployment) -> None:
     if existing.source != _CUSTOMER_REGISTRY_SOURCE:
         raise click.UsageError(
-            f"Deployment {existing.id} was not created from an external image "
+            f"Agent Server {existing.id} was not created from an external image "
             "and cannot be updated with --push-to or --image-uri. Run without "
             "either flag to keep its current build mode, or use a different "
-            "--name to create a new deployment."
+            "--name to create a new Agent Server."
         )
 
 
@@ -1628,7 +1630,7 @@ class ManagedRegistrySource:
         deployment_id, step = _resolve_or_create(
             ctx,
             source="internal_docker",
-            not_found_message="No deployment found. Will create after build.",
+            not_found_message="No Agent Server found. Will create after build.",
         )
         build_result = _run_local_build(
             client=ctx.client,
@@ -1652,7 +1654,7 @@ class RemoteBuildSource:
         deployment_id, step = _resolve_or_create(
             ctx,
             source="internal_source",
-            not_found_message="No deployment found. Will create.",
+            not_found_message="No Agent Server found. Will create.",
         )
         build_result = _run_remote_build(
             client=ctx.client,
@@ -1721,24 +1723,24 @@ class CreateOnlySettings:
         if push_to is None and image_uri is None and self.requested:
             raise click.UsageError(
                 "--listener-id, --k8s-namespace, and --image-pull-secret only "
-                "apply when creating a deployment with --push-to or --image-uri."
+                "apply when creating an Agent Server with --push-to or --image-uri."
             )
 
     def ensure_not_existing(self, deployment_id: str) -> None:
         if self.placement.requested:
             raise click.UsageError(
-                "Listener and namespace are fixed when a deployment is "
-                f"created. Deployment {deployment_id} already exists, so "
+                "Listener and namespace are fixed when an Agent Server is "
+                f"created. Agent Server {deployment_id} already exists, so "
                 "drop --listener-id and --k8s-namespace, or create a new "
-                "deployment with a different --name."
+                "Agent Server with a different --name."
             )
         if self.image_pull_secrets:
             raise click.UsageError(
                 "langgraph deploy does not update image pull secrets on an "
-                f"existing deployment. Deployment {deployment_id} already "
+                f"existing Agent Server. Agent Server {deployment_id} already "
                 "exists, so drop --image-pull-secret and update resource_spec "
                 "through the API or the LangSmith UI instead, or create a "
-                "new deployment with a different --name."
+                "new Agent Server with a different --name."
             )
 
 
@@ -1755,7 +1757,7 @@ class CustomerRegistrySource:
             ctx.client,
             1,
             ctx.selector,
-            not_found_message="No deployment found. Will create after push.",
+            not_found_message="No Agent Server found. Will create after push.",
         )
         if found is not None:
             return self._update(ctx, found, step)
@@ -1769,7 +1771,7 @@ class CustomerRegistrySource:
         _ensure_customer_registry_source(existing)
         self.create_only.ensure_not_existing(existing.id)
         image_uri, step = self._publish(ctx, step)
-        _log_deploy_step(step, f"Updating deployment {existing.id}")
+        _log_deploy_step(step, f"Updating Agent Server {existing.id}")
         updated = ctx.client.update_deployment(
             existing.id,
             image_uri,
@@ -1778,7 +1780,7 @@ class CustomerRegistrySource:
             tracked_packages=ctx.tracked_packages,
         )
         return DeployOutcome(
-            existing.id, _image_revision_result(updated, "Deployment updated")
+            existing.id, _image_revision_result(updated, "Agent Server updated")
         )
 
     def _resolve_placement(self, ctx: DeployContext) -> Placement:
@@ -1827,7 +1829,7 @@ class CustomerRegistrySource:
                 ) from None
             raise
         return DeployOutcome(
-            created.id, _image_revision_result(created.resource, "Deployment created")
+            created.id, _image_revision_result(created.resource, "Agent Server created")
         )
 
     def _publish(self, ctx: DeployContext, step: int) -> tuple[str, int]:
@@ -2050,8 +2052,8 @@ def _call_host_backend_with_optional_tenant(
             if err.status_code == 403 and "not enabled" in err.message.lower():
                 smith_base = client.endpoints.dashboard_url
                 raise HostBackendError(
-                    "LangSmith Deployment is not enabled for this organization. "
-                    f"Enable it at {smith_base}/host/deployments"
+                    "LangSmith Agent Servers are not enabled for this organization. "
+                    f"Enable them at {smith_base}/host/deployments"
                     " (ensure this matches the organization for your API key).",
                     status_code=403,
                 ) from None
@@ -2062,6 +2064,15 @@ def _call_host_backend_with_optional_tenant(
 # Click options shared by deploy commands
 # ---------------------------------------------------------------------------
 
+
+def _normalize_deploy_token(token: str) -> str:
+    """Accept legacy option names without advertising them in help or errors."""
+    return {
+        "deployment-id": "agent-server-id",
+        "deployment-type": "agent-server-type",
+    }.get(token, token)
+
+
 OPT_HOST_API_KEY = click.option(
     "--api-key",
     envvar="LANGGRAPH_HOST_API_KEY",
@@ -2075,9 +2086,9 @@ OPT_HOST_DEPLOYMENT_NAME = click.option(
     "--name",
     envvar=_DEPLOYMENT_NAME_ENV,
     help=(
-        "Deployment name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
+        "Agent Server name. Can also be set via LANGSMITH_DEPLOYMENT_NAME "
         "environment variable or .env file. Defaults to current directory name "
-        "if --deployment-id is not provided."
+        "if --agent-server-id is not provided."
     ),
 )
 
@@ -2205,19 +2216,21 @@ def _deploy_base_options(
             OPT_AGENT_ID,
             OPT_AGENT_ENVIRONMENT,
             click.option(
-                "--deployment-id",
+                "--agent-server-id",
+                "deployment_id",
                 help=(
-                    "ID of an existing deployment to update. If omitted, "
-                    "--name is used to find or create the deployment."
+                    "ID of an existing Agent Server to update. If omitted, "
+                    "--name is used to find or create the Agent Server."
                 ),
             ),
             click.option(
-                "--deployment-type",
+                "--agent-server-type",
+                "deployment_type",
                 type=click.Choice(["serverless", "dedicated", "dev", "prod"]),
                 default="serverless",
                 show_default=True,
                 help=(
-                    "Deployment type (used when creating a new deployment): "
+                    "Agent Server type (used when creating a new Agent Server): "
                     "serverless (scale to zero) or dedicated (prod); "
                     "legacy dev and prod are also accepted. "
                     "Ignored with --push-to."
@@ -2236,7 +2249,7 @@ def _deploy_base_options(
                 "--tag",
                 "-t",
                 default=None,
-                help="Tag to use for the pushed deployment image. [default: latest]",
+                help="Tag to use for the pushed Agent Server image. [default: latest]",
             ),
             click.option(
                 "--image",
@@ -2269,16 +2282,16 @@ def _deploy_base_options(
             click.option(
                 "--listener-id",
                 help=(
-                    "Listener that will run the deployment, for workspaces that "
+                    "Listener that will run the Agent Server, for workspaces that "
                     "deploy through a listener in your own cluster. Only used when "
-                    "creating a deployment with --push-to or --image-uri."
+                    "creating an Agent Server with --push-to or --image-uri."
                 ),
             ),
             click.option(
                 "--k8s-namespace",
                 help=(
                     "Kubernetes namespace the listener deploys into. Only used when "
-                    "creating a deployment with --push-to or --image-uri."
+                    "creating an Agent Server with --push-to or --image-uri."
                 ),
             ),
             click.option(
@@ -2287,9 +2300,9 @@ def _deploy_base_options(
                 multiple=True,
                 help=(
                     "Name of a Kubernetes secret (type kubernetes.io/"
-                    "dockerconfigjson) in the deployment's namespace to use for "
+                    "dockerconfigjson) in the Agent Server's namespace to use for "
                     "pulling the image from a private registry. Repeat to give "
-                    "more than one. Only used when creating a deployment with "
+                    "more than one. Only used when creating an Agent Server with "
                     "--push-to or --image-uri."
                 ),
             ),
@@ -2356,14 +2369,18 @@ def _deploy_base_options(
 @click.group(
     cls=DeployGroup,
     help=(
-        "[Beta] Build and deploy a LangGraph image to LangSmith Deployment.\n\n"
+        "[Beta] Build and deploy an Agent Server image to LangSmith Agent Servers.\n\n"
         "This command is in beta and under active development. "
         "Expect frequent updates and improvements.\n\n"
         "Run from the root of your LangGraph project (where langgraph.json "
         "is located). This command also accepts build flags (--base-image, "
         "--config, --pull, etc.). See 'langgraph build --help' for details."
     ),
-    context_settings=dict(ignore_unknown_options=True, allow_extra_args=True),
+    context_settings=dict(
+        ignore_unknown_options=True,
+        allow_extra_args=True,
+        token_normalize_func=_normalize_deploy_token,
+    ),
     invoke_without_command=True,  # allow `deploy` click group to execute without command
 )
 @_deploy_base_options(include_docker_args=False, validate_config_path=False)
@@ -2387,7 +2404,11 @@ def deploy(ctx: click.Context, **_: object):
 
 
 @_deploy_base_options()
-@click.command(context_settings=dict(ignore_unknown_options=True))
+@click.command(
+    context_settings=dict(
+        ignore_unknown_options=True, token_normalize_func=_normalize_deploy_token
+    )
+)
 def _deploy_cmd(
     config: pathlib.Path,
     pull: bool,
@@ -2437,13 +2458,13 @@ def _deploy_cmd(
             )
         if name is not None or deployment_id is not None:
             raise click.UsageError(
-                "--agent-id and --agent-environment cannot be combined with --name or --deployment-id."
+                "--agent-id and --agent-environment cannot be combined with --name or --agent-server-id."
             )
         agent = {"agent_id": agent_id, "environment": environment}
     if not config.exists():
         message = (
             "We couldn't find a langgraph.json file. Run `langgraph deploy` from "
-            "the root of a LangSmith Deployment project. To get started, visit "
+            "the root of your LangGraph project. To get started, visit "
             "https://docs.langchain.com/langsmith/deployment-quickstart."
         )
         if json_output:
@@ -2462,14 +2483,14 @@ def _deploy_cmd(
         if no_input:
             name = default_name
         else:
-            name = click.prompt("Deployment name", default=default_name)
+            name = click.prompt("Agent Server name", default=default_name)
     if name and not deployment_id:
         name = normalize_name(name)
         if not no_input:
             env_path = _resolve_env_path(config_json, config)
             if env_path is not None:
                 set_key(str(env_path), _DEPLOYMENT_NAME_ENV, name)
-                em.info(f"Saved deployment name to {env_path}")
+                em.info(f"Saved Agent Server name to {env_path}")
 
     secrets = _secrets_from_env(_env_without_deployment_name(env_vars))
 
@@ -2566,7 +2587,7 @@ def _deploy_cmd(
         client,
         outcome.deployment_id,
         last_status,
-        dashboard_label="Deployment dashboard",
+        dashboard_label="Agent Server dashboard",
         status_url=dep_status_url,
     )
 
@@ -2583,16 +2604,16 @@ def _deploy_cmd(
 @click.option(
     "--name-contains",
     default="",
-    help="Only show deployments whose names contain this value.",
+    help="Only show Agent Servers whose names contain this value.",
 )
 @click.option(
     "--json",
     "json_output",
     is_flag=True,
     default=False,
-    help="Print the deployments as a JSON array of {id, name} instead of a table.",
+    help="Print the Agent Servers as a JSON array of {id, name} instead of a table.",
 )
-@deploy.command("list", help="[Beta] List LangSmith Deployments.")
+@deploy.command("list", help="[Beta] List Agent Servers.")
 def deploy_list(
     api_key: str | None,
     host_url: str | None,
@@ -2624,7 +2645,7 @@ def deploy_list(
     if json_output:
         click.echo(json_mod.dumps([deployment.as_json() for deployment in deployments]))
     elif not deployments:
-        click.echo("No deployments found.")
+        click.echo("No Agent Servers found.")
     else:
         click.echo(DEPLOYMENTS_TABLE.render(deployments))
 
@@ -2634,6 +2655,81 @@ def deploy_list(
 # ---------------------------------------------------------------------------
 
 
+@OPT_HOST_API_KEY
+@OPT_HOST_URL
+@click.argument("deployment_id", type=click.UUID, metavar="AGENT_SERVER_ID")
+@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 Agent Server 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 Agent Server 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,
@@ -2685,7 +2781,7 @@ def deploy_listeners_list(
 
 
 @deploy.group(
-    "revisions", cls=NestedHelpGroup, help="[Beta] Manage deployment revisions."
+    "revisions", cls=NestedHelpGroup, help="[Beta] Manage Agent Server revisions."
 )
 def deploy_revisions() -> None:
     pass
@@ -2700,12 +2796,12 @@ def deploy_revisions() -> None:
     show_default=True,
     help="Maximum number of revisions to return.",
 )
-@click.argument("deployment_id")
+@click.argument("deployment_id", metavar="AGENT_SERVER_ID")
 @deploy_revisions.command(
     "list",
     help=(
-        "[Beta] List revisions for a LangSmith Deployment.\n\n"
-        "Use the `deploy list` command to list deployment IDs."
+        "[Beta] List revisions for an Agent Server.\n\n"
+        "Use the `deploy list` command to list Agent Server IDs."
     ),
 )
 def deploy_revisions_list(
@@ -2717,7 +2813,7 @@ def deploy_revisions_list(
         lambda c: c.list_revisions(deployment_id, limit=limit),
     )
     if not revisions:
-        click.echo(f"No revisions found for deployment {deployment_id}.")
+        click.echo(f"No revisions found for Agent Server {deployment_id}.")
         return
     click.echo(REVISIONS_TABLE.render(_with_replaced_status(revisions)))
 
@@ -2735,12 +2831,12 @@ def deploy_revisions_list(
     default=False,
     help="Delete without prompting for confirmation.",
 )
-@click.argument("deployment_id")
+@click.argument("deployment_id", metavar="AGENT_SERVER_ID")
 @deploy.command(
     "delete",
     help=(
-        "[Beta] Delete a LangSmith Deployment.\n\n"
-        "Use the `deploy list` command to list deployment IDs."
+        "[Beta] Delete an Agent Server.\n\n"
+        "Use the `deploy list` command to list Agent Server IDs."
     ),
 )
 def deploy_delete(
@@ -2749,7 +2845,7 @@ def deploy_delete(
     if not force:
         response = click.prompt(
             click.style(
-                f"Are you sure you want to delete deployment ID {deployment_id}? (Y/n)",
+                f"Are you sure you want to delete Agent Server ID {deployment_id}? (Y/n)",
                 fg="yellow",
             ),
             default="Y",
@@ -2762,7 +2858,7 @@ def deploy_delete(
         client,
         lambda c: c.delete_deployment(deployment_id),
     )
-    click.secho(f"Deleted deployment {deployment_id}.", fg="green")
+    click.secho(f"Deleted Agent Server {deployment_id}.", fg="green")
 
 
 # ---------------------------------------------------------------------------
@@ -2773,8 +2869,9 @@ def deploy_delete(
 @OPT_HOST_API_KEY
 @OPT_HOST_DEPLOYMENT_NAME
 @click.option(
-    "--deployment-id",
-    help="Deployment ID. If omitted, --name is used to find the deployment.",
+    "--agent-server-id",
+    "deployment_id",
+    help="Agent Server ID. If omitted, --name is used to find the Agent Server.",
 )
 @click.option(
     "--type",
@@ -2783,8 +2880,8 @@ def deploy_delete(
     default="deploy",
     show_default=True,
     help=(
-        "Log stream to fetch: 'deploy' shows agent server runtime logs; "
-        "'build' shows build logs (for deployments built remotely)."
+        "Log stream to fetch: 'deploy' shows Agent Server runtime logs; "
+        "'build' shows build logs (for Agent Servers built remotely)."
     ),
 )
 @click.option(
@@ -2829,7 +2926,7 @@ def deploy_delete(
 @deploy.command(
     "logs",
     help=(
-        "[Beta] Fetch LangSmith Deployment logs. Use 'deploy' for agent runtime "
+        "[Beta] Fetch Agent Server logs. Use 'deploy' for Agent Server runtime "
         "logs, or 'build' for remote build logs."
     ),
 )
@@ -2861,14 +2958,14 @@ def deploy_logs(
             client, lambda c: find_deployment_by_name(c, name_to_find)
         )
         if found is None:
-            raise click.ClickException(f"Deployment '{name_to_find}' not found.")
+            raise click.ClickException(f"Agent Server '{name_to_find}' not found.")
         dep_id = found.id
 
     if log_type == "build" and not revision_id:
         revisions = client.list_revisions(dep_id, limit=1)
         if not revisions:
             raise click.ClickException(
-                "No revisions found for this deployment. Cannot fetch build logs."
+                "No revisions found for this Agent Server. Cannot fetch build logs."
             )
         revision_id = str(revisions[0]["id"])
         click.secho(f"Using latest revision: {revision_id}", fg="cyan")

libs/cli/langgraph_cli/deployment_metrics.py

@@ -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},
+    }

libs/cli/langgraph_cli/docker.py

@@ -197,7 +197,7 @@ def compose_as_dict(
     postgres_uri: str | None = None,
     # If you are running against an already-built image, you can pass it here
     image: str | None = None,
-    # Base image to use for the LangGraph API server
+    # Base image to use for the Agent Server
     base_image: str | None = None,
     # API version of the base image
     api_version: str | None = None,

libs/cli/langgraph_cli/host_backend.py

@@ -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:

libs/cli/langgraph_cli/schemas.py

@@ -317,7 +317,7 @@ class AuthConfig(TypedDict, total=False):
     """Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
 
     Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
-    value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
+    value is a valid API key for the Agent Server's workspace. If `True`, all requests will go through your custom
     authentication logic, regardless of origin of the request.
     """
     openapi: SecurityConfig
@@ -461,7 +461,7 @@ class ConfigurableHeaderConfig(TypedDict, total=False):
 
 
 class HttpConfig(TypedDict, total=False):
-    """Configuration for the built-in HTTP server that powers your deployment's routes and endpoints."""
+    """Configuration for the built-in HTTP server that powers your Agent Server's routes and endpoints."""
 
     app: str
     """Optional. Import path to a custom Starlette/FastAPI application to mount.
@@ -490,12 +490,12 @@ class HttpConfig(TypedDict, total=False):
     Default is False.
     """
     disable_mcp: bool
-    """Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.
+    """Optional. If `True`, /mcp routes are removed, disabling default support to expose the Agent Server as an MCP server.
 
     Default is False.
     """
     disable_a2a: bool
-    """Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.
+    """Optional. If `True`, /a2a routes are removed, disabling default support to expose the Agent Server as an agent-to-agent (A2A) server.
 
     Default is False.
     """
@@ -638,16 +638,16 @@ class Config(TypedDict, total=False):
 
     python_version: str
     """Optional. Python version in 'major.minor' format (e.g. '3.11').
-    Must be at least 3.11 or greater for this deployment to function properly.
+    Must be at least 3.11 or greater for this Agent Server to function properly.
     """
 
     node_version: str | None
-    """Optional. Node.js version as a major version (e.g. '20'), if your deployment needs Node.
+    """Optional. Node.js version as a major version (e.g. '20'), if your Agent Server needs Node.
     Must be >= 20 if provided.
     """
 
     api_version: str | None
-    """Optional. Which semantic version of the LangGraph API server to use.
+    """Optional. Which semantic version of the Agent Server to use.
 
     Defaults to latest. Check the
     [changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
@@ -658,7 +658,7 @@ class Config(TypedDict, total=False):
     """
 
     base_image: str | None
-    """Optional. Base image to use for the LangGraph API server.
+    """Optional. Base image to use for the Agent Server.
 
     Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
 
@@ -740,7 +740,7 @@ class Config(TypedDict, total=False):
     """
 
     env: dict[str, str] | str
-    """Optional. Environment variables to set for your deployment.
+    """Optional. Environment variables to set for your Agent Server.
 
     - If given as a dict, keys are variable names and values are their values.
     - If given as a string, it must be a path to a file containing lines in KEY=VALUE format.

libs/cli/schemas/schema.json

@@ -12,7 +12,7 @@
           "properties": {
             "python_version": {
               "type": "string",
-              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this Agent Server to function properly.\n",
               "enum": [
                 "3.11",
                 "3.12",
@@ -50,7 +50,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+              "description": "Optional. Which semantic version of the Agent Server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
             },
             "auth": {
               "anyOf": [
@@ -72,7 +72,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+              "description": "Optional. Base image to use for the Agent Server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
             },
             "checkpointer": {
               "anyOf": [
@@ -122,7 +122,7 @@
                   "type": "string"
                 }
               ],
-              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+              "description": "Optional. Environment variables to set for your Agent Server.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
             },
             "graphs": {
               "type": "object",
@@ -265,7 +265,7 @@
           "properties": {
             "python_version": {
               "type": "string",
-              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this Agent Server to function properly.\n",
               "enum": [
                 "3.11",
                 "3.12",
@@ -303,7 +303,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+              "description": "Optional. Which semantic version of the Agent Server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
             },
             "auth": {
               "anyOf": [
@@ -325,7 +325,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+              "description": "Optional. Base image to use for the Agent Server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
             },
             "checkpointer": {
               "anyOf": [
@@ -375,7 +375,7 @@
                   "type": "string"
                 }
               ],
-              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+              "description": "Optional. Environment variables to set for your Agent Server.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
             },
             "graphs": {
               "type": "object",
@@ -520,7 +520,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Node.js version as a major version (e.g. '20'), if your deployment needs Node.\nMust be >= 20 if provided.\n"
+              "description": "Optional. Node.js version as a major version (e.g. '20'), if your Agent Server needs Node.\nMust be >= 20 if provided.\n"
             },
             "_INTERNAL_docker_tag": {
               "anyOf": [
@@ -542,7 +542,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+              "description": "Optional. Which semantic version of the Agent Server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
             },
             "auth": {
               "anyOf": [
@@ -564,7 +564,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+              "description": "Optional. Base image to use for the Agent Server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
             },
             "checkpointer": {
               "anyOf": [
@@ -614,7 +614,7 @@
                   "type": "string"
                 }
               ],
-              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+              "description": "Optional. Environment variables to set for your Agent Server.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
             },
             "graphs": {
               "type": "object",
@@ -765,7 +765,7 @@
         },
         "disable_studio_auth": {
           "type": "boolean",
-          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
+          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the Agent Server's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
         },
         "openapi": {
           "$ref": "#/$defs/SecurityConfig",
@@ -1018,7 +1018,7 @@
     },
     "HttpConfig": {
       "title": "HttpConfig",
-      "description": "Configuration for the built-in HTTP server that powers your deployment's routes and endpoints.",
+      "description": "Configuration for the built-in HTTP server that powers your Agent Server's routes and endpoints.",
       "type": "object",
       "properties": {
         "app": {
@@ -1049,7 +1049,7 @@
         },
         "disable_a2a": {
           "type": "boolean",
-          "description": "Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.\n\nDefault is False.\n"
+          "description": "Optional. If `True`, /a2a routes are removed, disabling default support to expose the Agent Server as an agent-to-agent (A2A) server.\n\nDefault is False.\n"
         },
         "disable_assistants": {
           "type": "boolean",
@@ -1057,7 +1057,7 @@
         },
         "disable_mcp": {
           "type": "boolean",
-          "description": "Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.\n\nDefault is False.\n"
+          "description": "Optional. If `True`, /mcp routes are removed, disabling default support to expose the Agent Server as an MCP server.\n\nDefault is False.\n"
         },
         "disable_meta": {
           "type": "boolean",

libs/cli/schemas/schema.v0.json

@@ -12,7 +12,7 @@
           "properties": {
             "python_version": {
               "type": "string",
-              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this Agent Server to function properly.\n",
               "enum": [
                 "3.11",
                 "3.12",
@@ -50,7 +50,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+              "description": "Optional. Which semantic version of the Agent Server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
             },
             "auth": {
               "anyOf": [
@@ -72,7 +72,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+              "description": "Optional. Base image to use for the Agent Server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
             },
             "checkpointer": {
               "anyOf": [
@@ -122,7 +122,7 @@
                   "type": "string"
                 }
               ],
-              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+              "description": "Optional. Environment variables to set for your Agent Server.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
             },
             "graphs": {
               "type": "object",
@@ -265,7 +265,7 @@
           "properties": {
             "python_version": {
               "type": "string",
-              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
+              "description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this Agent Server to function properly.\n",
               "enum": [
                 "3.11",
                 "3.12",
@@ -303,7 +303,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+              "description": "Optional. Which semantic version of the Agent Server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
             },
             "auth": {
               "anyOf": [
@@ -325,7 +325,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+              "description": "Optional. Base image to use for the Agent Server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
             },
             "checkpointer": {
               "anyOf": [
@@ -375,7 +375,7 @@
                   "type": "string"
                 }
               ],
-              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+              "description": "Optional. Environment variables to set for your Agent Server.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
             },
             "graphs": {
               "type": "object",
@@ -520,7 +520,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Node.js version as a major version (e.g. '20'), if your deployment needs Node.\nMust be >= 20 if provided.\n"
+              "description": "Optional. Node.js version as a major version (e.g. '20'), if your Agent Server needs Node.\nMust be >= 20 if provided.\n"
             },
             "_INTERNAL_docker_tag": {
               "anyOf": [
@@ -542,7 +542,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
+              "description": "Optional. Which semantic version of the Agent Server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
             },
             "auth": {
               "anyOf": [
@@ -564,7 +564,7 @@
                   "type": "null"
                 }
               ],
-              "description": "Optional. Base image to use for the LangGraph API server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
+              "description": "Optional. Base image to use for the Agent Server.\n\nDefaults to langchain/langgraph-api or langchain/langgraphjs-api.\n"
             },
             "checkpointer": {
               "anyOf": [
@@ -614,7 +614,7 @@
                   "type": "string"
                 }
               ],
-              "description": "Optional. Environment variables to set for your deployment.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
+              "description": "Optional. Environment variables to set for your Agent Server.\n\n- If given as a dict, keys are variable names and values are their values.\n- If given as a string, it must be a path to a file containing lines in KEY=VALUE format.\n\nenv=\".env\n"
             },
             "graphs": {
               "type": "object",
@@ -765,7 +765,7 @@
         },
         "disable_studio_auth": {
           "type": "boolean",
-          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
+          "description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the Agent Server's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
         },
         "openapi": {
           "$ref": "#/$defs/SecurityConfig",
@@ -1018,7 +1018,7 @@
     },
     "HttpConfig": {
       "title": "HttpConfig",
-      "description": "Configuration for the built-in HTTP server that powers your deployment's routes and endpoints.",
+      "description": "Configuration for the built-in HTTP server that powers your Agent Server's routes and endpoints.",
       "type": "object",
       "properties": {
         "app": {
@@ -1049,7 +1049,7 @@
         },
         "disable_a2a": {
           "type": "boolean",
-          "description": "Optional. If `True`, /a2a routes are removed, disabling default support to expose the deployment as an agent-to-agent (A2A) server.\n\nDefault is False.\n"
+          "description": "Optional. If `True`, /a2a routes are removed, disabling default support to expose the Agent Server as an agent-to-agent (A2A) server.\n\nDefault is False.\n"
         },
         "disable_assistants": {
           "type": "boolean",
@@ -1057,7 +1057,7 @@
         },
         "disable_mcp": {
           "type": "boolean",
-          "description": "Optional. If `True`, /mcp routes are removed, disabling default support to expose the deployment as an MCP server.\n\nDefault is False.\n"
+          "description": "Optional. If `True`, /mcp routes are removed, disabling default support to expose the Agent Server as an MCP server.\n\nDefault is False.\n"
         },
         "disable_meta": {
           "type": "boolean",

libs/cli/schemas/version.schema.json

@@ -1,7 +1,7 @@
 {
   "$id": "https://github.com/langchain-ai/langgraph/libs/cli/schemas/version.schema.json",
   "$schema": "http://json-schema.org/draft-07/schema#",
-  "title": "LangGraph Platform configuration (when building via the langgraph-cli).",
+  "title": "Agent Server configuration (when building via the langgraph-cli).",
   "type": "object",
   "oneOf": [
     {

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

@@ -303,7 +303,7 @@ def test_top_level_help_shows_deploy_subcommands() -> None:
     assert "deploy delete" in result.output
     assert "deploy revisions" in result.output
     assert "deploy revisions list" in result.output
-    assert "[Beta] List LangSmith Deployments." in result.output
+    assert "[Beta] List Agent Servers." in result.output
 
 
 def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
@@ -320,7 +320,7 @@ def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
 
     assert not lines[lines.index(deploy_line) + 1].startswith("               ")
     assert "..." in deploy_line
-    assert "[Beta] List LangSmith Deployments." in deploy_list_line
+    assert "[Beta] List Agent Servers." in deploy_list_line
 
 
 def test_deploy_missing_config_shows_actionable_error(tmp_path, monkeypatch) -> None:
@@ -447,9 +447,9 @@ def test_deploy_list_command(monkeypatch) -> None:
         "tenant_id": "",
         "name_contains": "alp",
     }
-    assert "Deployment ID" in result.output
-    assert "Deployment Name" in result.output
-    assert "Deployment URL" in result.output
+    assert "Agent Server ID" in result.output
+    assert "Agent Server Name" in result.output
+    assert "Agent Server URL" in result.output
     assert "dep-123" in result.output
     assert "https://beta.example.com" in result.output
 
@@ -479,7 +479,7 @@ def test_deploy_list_command_no_results(monkeypatch) -> None:
     )
 
     assert result.exit_code == 0, result.output
-    assert result.output.strip() == "No deployments found."
+    assert result.output.strip() == "No Agent Servers found."
 
 
 def test_deploy_list_prints_an_aligned_table(monkeypatch) -> None:
@@ -513,10 +513,10 @@ def test_deploy_list_prints_an_aligned_table(monkeypatch) -> None:
 
     assert result.exit_code == 0, result.output
     assert result.output.splitlines() == [
-        "Deployment ID  Deployment Name  Deployment URL           ",
-        "-------------  ---------------  -------------------------",
-        "dep-123        alpha            https://alpha.example.com",
-        "dep-4567       beta-agent       -                        ",
+        "Agent Server ID  Agent Server Name  Agent Server URL         ",
+        "---------------  -----------------  -------------------------",
+        "dep-123          alpha              https://alpha.example.com",
+        "dep-4567         beta-agent         -                        ",
     ]
 
 
@@ -600,7 +600,7 @@ def test_deploy_list_rejects_a_deployment_without_an_id(monkeypatch) -> None:
     result = _deploy_list_json(monkeypatch, [{"name": "alpha"}])
 
     assert result.exit_code != 0
-    assert "deployment without an id" in result.output
+    assert "Agent Server without an id" in result.output
 
 
 def test_deploy_list_json_keeps_the_agent_note_off_stdout(monkeypatch) -> None:
@@ -1012,7 +1012,7 @@ def test_deploy_revisions_list_command_no_results(monkeypatch) -> None:
     )
 
     assert result.exit_code == 0, result.output
-    assert result.output.strip() == "No revisions found for deployment dep-123."
+    assert result.output.strip() == "No revisions found for Agent Server dep-123."
 
 
 def test_deploy_revisions_list_marks_older_deployed_revisions_as_replaced(
@@ -1096,7 +1096,7 @@ def test_deploy_revisions_list_command_with_explicit_limit(monkeypatch) -> None:
 
     assert result.exit_code == 0, result.output
     assert captured == {"deployment_id": "dep-123", "limit": "25"}
-    assert result.output.strip() == "No revisions found for deployment dep-123."
+    assert result.output.strip() == "No revisions found for Agent Server dep-123."
 
 
 def test_deploy_revisions_list_missing_deployment_id_shows_usage() -> None:
@@ -1105,7 +1105,7 @@ def test_deploy_revisions_list_missing_deployment_id_shows_usage() -> None:
     result = runner.invoke(cli, ["deploy", "revisions", "list"])
 
     assert result.exit_code == 2, result.output
-    assert "Missing argument 'DEPLOYMENT_ID'" in result.output
+    assert "Missing argument 'AGENT_SERVER_ID'" in result.output
 
 
 def test_deploy_delete_command(monkeypatch) -> None:
@@ -1146,10 +1146,10 @@ def test_deploy_delete_command(monkeypatch) -> None:
         "deployment_id": "dep-123",
     }
     assert (
-        "Are you sure you want to delete deployment ID dep-123? (Y/n):"
+        "Are you sure you want to delete Agent Server ID dep-123? (Y/n):"
         in click.unstyle(result.output)
     )
-    assert result.output.strip().endswith("Deleted deployment dep-123.")
+    assert result.output.strip().endswith("Deleted Agent Server dep-123.")
 
 
 def test_deploy_delete_command_cancelled(monkeypatch) -> None:
@@ -1217,14 +1217,16 @@ def test_deploy_delete_command_force(monkeypatch) -> None:
     )
 
     assert result.exit_code == 0, result.output
-    assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
+    assert (
+        "Are you sure you want to delete Agent Server ID dep-123?" not in result.output
+    )
     assert captured == {
         "host_url": "https://api.example.com",
         "api_key": "test-key",
         "tenant_id": "",
         "deployment_id": "dep-123",
     }
-    assert result.output.strip() == "Deleted deployment dep-123."
+    assert result.output.strip() == "Deleted Agent Server dep-123."
 
 
 def test_dockerfile_command_basic() -> None:

libs/cli/tests/unit_tests/cli/test_deploy_command.py

@@ -359,6 +359,68 @@ def deploy_project(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> DeployPro
     return DeployProject(control_plane, docker, timeline, uploads)
 
 
+@pytest.mark.parametrize(
+    ("command", "expected"),
+    [
+        ([], ["--agent-server-id", "--agent-server-type"]),
+        (["logs"], ["--agent-server-id"]),
+        (["delete"], ["AGENT_SERVER_ID"]),
+        (["revisions", "list"], ["AGENT_SERVER_ID"]),
+        (["metrics"], ["AGENT_SERVER_ID"]),
+    ],
+)
+def test_deploy_help_uses_agent_server_names(command: list[str], expected: list[str]):
+    result = CliRunner().invoke(cli, ["deploy", *command, "--help"])
+
+    assert result.exit_code == 0, result.output
+    assert all(name in result.output for name in expected)
+    assert "Agent Server" in result.output
+    assert "--deployment-" not in result.output
+    assert "DEPLOYMENT_ID" not in result.output
+
+
+@pytest.mark.parametrize("command", [[], ["logs"]])
+@pytest.mark.parametrize("option", ["--agent-server-id", "--deployment-id"])
+def test_missing_agent_server_id_uses_public_option_name(
+    command: list[str], option: str
+):
+    result = CliRunner().invoke(cli, ["deploy", *command, option])
+
+    assert result.exit_code == 2, result.output
+    assert "Option '--agent-server-id' requires an argument" in result.output
+    assert "--deployment-id" not in result.output
+
+
+@pytest.mark.parametrize("option", ["--agent-server-type", "--deployment-type"])
+@pytest.mark.parametrize("values", [[], ["invalid"]])
+def test_invalid_agent_server_type_uses_public_option_name(
+    option: str, values: list[str]
+):
+    result = CliRunner().invoke(cli, ["deploy", option, *values])
+
+    assert result.exit_code == 2, result.output
+    assert "'--agent-server-type'" in result.output
+    assert "--deployment-type" not in result.output
+
+
+@pytest.mark.parametrize("option", ["--agent-server-id", "--deployment-id"])
+def test_deploy_logs_accepts_agent_server_id_aliases(
+    deploy_project, mocker, option: str
+):
+    fetch_logs = mocker.patch.object(
+        HostBackendClient, "get_deploy_logs", return_value={"logs": []}
+    )
+
+    result = CliRunner().invoke(
+        cli, ["deploy", "logs", "--api-key", "test-key", option, "dep-existing"]
+    )
+
+    assert result.exit_code == 0, result.output
+    fetch_logs.assert_called_once_with(
+        "dep-existing", {"limit": 100, "order": "desc"}, None
+    )
+
+
 @pytest.mark.parametrize("build_mode", ["--no-remote", "--remote"])
 @pytest.mark.parametrize(
     ("detail", "expects_dev_hint"),
@@ -376,7 +438,7 @@ def test_create_failure_preserves_backend_error_and_only_hints_for_aws_rejection
 
     assert result.exit_code == 1, result.output
     assert detail in result.output
-    assert ("Use --deployment-type dev instead." in result.output) is expects_dev_hint
+    assert ("Use --agent-server-type dev instead." in result.output) is expects_dev_hint
     assert deploy_project.control_plane.bodies[CREATE_DEPLOYMENT]["source_config"] == {
         "deployment_type": "dev_zero"
     }
@@ -415,7 +477,7 @@ def test_first_local_deploy_creates_then_builds_pushes_and_updates_in_order(
         "docker inspect-digest",
         _patch(CREATED_ID),
     ]
-    assert "Deployment updated" in result.output
+    assert "Agent Server updated" in result.output
 
 
 @pytest.mark.parametrize(
@@ -428,10 +490,15 @@ def test_first_local_deploy_creates_then_builds_pushes_and_updates_in_order(
     ],
 )
 @pytest.mark.parametrize("build_mode", ["--no-remote", "--remote"])
+@pytest.mark.parametrize("option", ["--agent-server-type", "--deployment-type"])
 def test_deployment_type_aliases(
-    deploy_project: DeployProject, deployment_type: str, wire_type: str, build_mode: str
+    deploy_project: DeployProject,
+    deployment_type: str,
+    wire_type: str,
+    build_mode: str,
+    option: str,
 ) -> None:
-    result = deploy_project.run(build_mode, "--deployment-type", deployment_type)
+    result = deploy_project.run(build_mode, option, deployment_type)
 
     assert result.exit_code == 0, result.output
     assert deploy_project.control_plane.bodies[CREATE_DEPLOYMENT]["source_config"] == {
@@ -770,7 +837,7 @@ def test_push_to_builds_pushes_then_creates_an_external_deployment(
         "source_revision_config": {"image_uri": EXTERNAL_DIGEST},
         "secrets": [],
     }
-    assert "Deployment created" in result.output
+    assert "Agent Server created" in result.output
 
 
 def test_push_to_builds_directly_with_the_push_reference(
@@ -873,16 +940,17 @@ def test_push_to_rejects_a_non_external_deployment_before_any_docker_work(
     assert deploy_project.docker.verbs() == []
 
 
+@pytest.mark.parametrize("option", ["--agent-server-id", "--deployment-id"])
+@pytest.mark.parametrize("equals", [False, True])
 def test_push_to_with_deployment_id_fetches_the_deployment_once(
-    deploy_project: DeployProject,
+    deploy_project: DeployProject, option: str, equals: bool
 ) -> None:
     deploy_project.control_plane.existing_deployments = [
         {"id": "dep-ext", "name": "another-name", "source": "external_docker"}
     ]
 
-    result = deploy_project.run(
-        "--deployment-id", "dep-ext", "--push-to", PUSH_REPOSITORY
-    )
+    id_args = [f"{option}=dep-ext"] if equals else [option, "dep-ext"]
+    result = deploy_project.run(*id_args, "--push-to", PUSH_REPOSITORY)
 
     assert result.exit_code == 0, result.output
     assert deploy_project.timeline == [
@@ -1159,7 +1227,7 @@ def test_image_pull_secret_without_push_to_or_image_uri_is_refused(
     result = deploy_project.run("--image-pull-secret", "regcred")
 
     assert result.exit_code != 0
-    assert "only apply when creating a deployment with --push-to" in result.output
+    assert "only apply when creating an Agent Server with --push-to" in result.output
     assert deploy_project.timeline == []
 
 
@@ -1241,7 +1309,7 @@ def test_listener_flags_are_refused_for_a_deployment_id_without_any_call(
     )
 
     assert result.exit_code != 0
-    assert "fixed when a deployment is created" in result.output
+    assert "fixed when an Agent Server is created" in result.output
     assert deploy_project.timeline == []
 
 
@@ -1262,7 +1330,7 @@ def test_listener_flags_are_refused_on_an_existing_deployment(
     )
 
     assert result.exit_code != 0
-    assert "fixed when a deployment is created" in result.output
+    assert "fixed when an Agent Server is created" in result.output
     assert deploy_project.docker.verbs() == []
 
 

libs/cli/tests/unit_tests/cli/test_deploy_monitoring.py

@@ -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

libs/cli/tests/unit_tests/conftest.py

@@ -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."""

libs/cli/tests/unit_tests/deployment_metrics.json

@@ -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": []
+    }
+  ]
+}

libs/cli/tests/unit_tests/test_config.py

@@ -1204,7 +1204,7 @@ ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
     assert additional_contexts == {}
 
 
-# node.js build used for LangSmith Deployment
+# node.js build used for LangSmith Agent Servers
 def test_config_to_docker_nodejs():
     graphs = {"agent": "./graphs/agent.js:graph"}
     actual_docker_stdin, additional_contexts = config_to_docker(

libs/cli/tests/unit_tests/test_deploy_agents.py

@@ -118,5 +118,5 @@ def test_agent_lookup_refuses_a_control_plane_that_ignores_the_filter(deployment
     result = CliRunner().invoke(cli, AGENT_ARGS)
 
     assert result.exit_code != 0
-    assert "does not filter deployments by agent" in result.output
+    assert "does not filter Agent Servers by agent" in result.output
     assert len(requests) == 1

libs/cli/tests/unit_tests/test_deploy_helpers.py

@@ -187,7 +187,7 @@ class TestValidatePrebuiltImage:
 
         monkeypatch.setattr(deploy_mod, "subp_exec", fake_subp_exec)
 
-        with pytest.raises(click.ClickException, match="requires linux/amd64"):
+        with pytest.raises(click.ClickException, match="require linux/amd64"):
             _validate_prebuilt_image(_FakeRunner(), "repo/app:arm", verbose=False)
 
 
@@ -327,6 +327,9 @@ class TestCallHostBackendWithOptionalTenant:
             )
         assert exc_info.value.status_code == 403
         assert "smith.langchain.com" in exc_info.value.message
+        assert exc_info.value.message.startswith(
+            "LangSmith Agent Servers are not enabled for this organization."
+        )
 
     def test_403_not_enabled_eu_url(self):
         detail = (
@@ -871,17 +874,17 @@ class TestSelectSource:
             ),
             pytest.param(
                 {"placement": RequestedPlacement(listener_id="listener-1")},
-                "only apply when creating a deployment with --push-to",
+                "only apply when creating an Agent Server with --push-to",
                 id="listener_without_push_to",
             ),
             pytest.param(
                 {"placement": RequestedPlacement(k8s_namespace="agents")},
-                "only apply when creating a deployment with --push-to",
+                "only apply when creating an Agent Server with --push-to",
                 id="namespace_without_push_to",
             ),
             pytest.param(
                 {"image_pull_secrets": ("regcred",)},
-                "only apply when creating a deployment with --push-to",
+                "only apply when creating an Agent Server with --push-to",
                 id="image_pull_secret_without_push_to",
             ),
             pytest.param(
@@ -1406,7 +1409,7 @@ class TestCreateOnlySettings:
         settings = CreateOnlySettings(RequestedPlacement(listener_id="listener-1"))
         with pytest.raises(
             click.UsageError,
-            match="Listener and namespace are fixed when a deployment is created",
+            match="Listener and namespace are fixed when an Agent Server is created",
         ):
             settings.ensure_not_existing("dep-1")
 

libs/cli/tests/unit_tests/test_deployment_metrics.py

@@ -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},
+    }

libs/cli/uv.lock

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+version = "4.1.0"
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+resolution-markers = [
+    "python_full_version < '3.11'",
+]
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+[[package]]
+name = "filelock"
+version = "4.2.9"
+source = { registry = "https://pypi.org/simple" }
+resolution-markers = [
+    "python_full_version >= '3.15'",
+    "python_full_version >= '3.12' and python_full_version < '3.15' and sys_platform == 'emscripten'",
+    "python_full_version == '3.11.*' or (python_full_version >= '3.12' and python_full_version < '3.15' and sys_platform != 'emscripten')",
+]
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+wheels = [
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 [[package]]
@@ -533,139 +550,139 @@ wheels = [
 
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+version = "1.81.1"
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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" },

libs/langgraph/langgraph/_internal/_constants.py

@@ -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,

libs/langgraph/langgraph/errors.py

@@ -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.

libs/langgraph/langgraph/pregel/_algo.py

@@ -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

libs/langgraph/langgraph/pregel/_loop.py

@@ -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

libs/langgraph/langgraph/pregel/_retry.py

@@ -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:

libs/langgraph/langgraph/pregel/main.py

@@ -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)
 

libs/langgraph/langgraph/pregel/remote.py

@@ -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,
     ),
 )
 

libs/langgraph/langgraph/types.py

@@ -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,
             ),
         )

libs/langgraph/pyproject.toml

@@ -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"

libs/langgraph/tests/test_remote_graph.py

@@ -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)

libs/langgraph/tests/test_strict_resume.py

@@ -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"]

libs/langgraph/tests/test_subgraph_persistence.py

@@ -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"})

libs/langgraph/tests/test_subgraph_persistence_async.py

@@ -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"})

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+]
+
 [[package]]
 name = "uvicorn"
 version = "0.40.0"

libs/prebuilt/uv.lock

@@ -286,7 +286,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.2.19"
+version = "1.2.20"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },

libs/sdk-py/langgraph_sdk/__init__.py

@@ -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",

libs/sdk-py/langgraph_sdk/_async/runs.py

@@ -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 = (

libs/sdk-py/langgraph_sdk/_sync/runs.py

@@ -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,
         }
 

libs/sdk-py/langgraph_sdk/schema.py

@@ -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[

libs/sdk-py/tests/test_api_parity.py

@@ -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"},
 }
 

libs/sdk-py/tests/test_runs_client.py

@@ -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

libs/sdk-py/uv.lock

@@ -301,7 +301,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "1.2.19"
+version = "1.2.20"
 source = { editable = "../langgraph" }
 dependencies = [
     { name = "langchain-core" },