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Author SHA1 Message Date
Saad Farooq fd2d92c31a perf(cli): merge cleanup steps and drop repeated WORKDIRs in generated Dockerfiles
Each Dockerfile instruction is a layer, and copy-based snapshotters pay a
full filesystem copy per layer. Emit the langgraph-api restore and build
tool removal as one RUN, and skip WORKDIRs that repeat the current one.
2026-11-04 08:41:33 -05:00
39 changed files with 360 additions and 2762 deletions

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+15 -10
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@@ -115,16 +115,21 @@ jobs:
echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env
timeout --kill-after=30 300 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
echo "Finished starting up langgraph-test-h"
pins=$(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 ${pin#*==}"
exit 1
fi
done
LANGGRAPH_VERSION=$(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
- name: Build and test prerelease reqs fail service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
-65
View File
@@ -86,71 +86,6 @@ langgraph dockerfile SAVE_PATH [OPTIONS]
-c, --config FILE Config file path
```
### `langgraph deploy metrics`
Fetch deployment monitoring time series as JSON through the LangSmith control plane.
Use `langgraph deploy list` to find the deployment ID. Authentication uses the same
API key and workspace configuration as the other deployment commands.
```bash
langgraph deploy metrics DEPLOYMENT_ID \
--start-time 2026-10-28T00:00:00Z \
--end-time 2026-10-28T01:00:00Z \
--metrics cpu_usage,memory_usage,worker_count
```
`--metrics` accepts a comma-separated list of these names (also listed in
`langgraph deploy metrics --help`):
- Resource usage: `memory_usage`, `cpu_usage`, `disk_usage`
- Counts: `restart_count`, `replica_count`, `worker_count`, `lg_run_count`
- HTTP traffic: `responses_per_second`, `error_responses_per_second`, `p95_latency`
- Queue: `run_queue_wait_time`
These are exact metric names, not free-text search terms. Availability depends on
the deployment and platform; a supported metric may have no data. Use
`lg_run_count` for deployment runs, not the UI schema's placeholder `run_count`.
Omit `--metrics` to fetch all available metrics. Time bounds default to the last
15 minutes, and the backend picks the resolution from the time
range. This command never prompts; for an organization-scoped key, set
`LANGSMITH_TENANT_ID` to the workspace ID.
Default output is compact JSON grouped by section title, chart title, and series
name. Each series contains its real `project_metric` as `metric`, inferred `unit`
(`percent`, `count`, or `null`), `latest`, `min`, `max`, `avg`, and
`points: [[iso_timestamp, value], ...]`. Values are rounded to three decimals;
statistics use unrounded finite values and ignore missing samples. `latest` is
the latest non-missing value. Missing samples remain `null` gaps, and series with
no values have null statistics. Empty sections are marked `{"_empty":true}`.
The top level includes `deployment_id`, `start_time`, `end_time`, and
`step_seconds`. Bounds always describe the requested window, not the observed
point bounds. The CLI resolves omitted bounds once: end defaults to now (UTC),
and start defaults to 15 minutes before the resolved end. With only `--end-time`,
start is 15 minutes before that value; with only `--start-time`, end is now. Both
values are sent explicitly to the backend and output, even when there are no points. `step_seconds` is the most common gap between consecutive
timestamps within series, with ties broken by the smallest gap. Whole seconds
are integers; fractional seconds are preserved. It is `null` only when every
series has fewer than two timestamps. UI metadata and repeated series IDs are
omitted. The host-backend response itself is unchanged.
```bash
langgraph deploy metrics DEPLOYMENT_ID --summary
langgraph deploy metrics DEPLOYMENT_ID --raw
```
`--summary` returns the same shape without `points`. `--raw` returns the original
UI chart schema without reshaping or rounding. These flags are mutually exclusive.
Neither mode returns traces.
Size comparison using the realistic synthetic unit-test fixture (compact JSON
serialization for all modes; not a live deployment benchmark):
| Before: raw UI schema | After: default | After: summary |
| --- | --- | --- |
| 4,302 bytes | 1,226 bytes (72% smaller) | 806 bytes (81% smaller) |
## Configuration
The CLI uses a `langgraph.json` configuration file with these key settings:
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.42"
__version__ = "0.4.40"
+19 -18
View File
@@ -154,12 +154,9 @@ def _get_pip_cleanup_lines(
pip_installer: Literal["uv", "pip"],
) -> str:
commands = [
f"""# -- Ensure user deps didn't inadvertently overwrite langgraph-api
RUN mkdir -p /api/langgraph_api /api/langgraph_runtime /api/langgraph_license && \
touch /api/langgraph_api/__init__.py /api/langgraph_runtime/__init__.py /api/langgraph_license/__init__.py
RUN PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir --no-deps -e /api
# -- End of ensuring user deps didn't inadvertently overwrite langgraph-api --
# -- Removing build deps from the final image ~<:===~~~ --"""
"mkdir -p /api/langgraph_api /api/langgraph_runtime /api/langgraph_license && "
"touch /api/langgraph_api/__init__.py /api/langgraph_runtime/__init__.py /api/langgraph_license/__init__.py",
f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir --no-deps -e /api",
]
if to_uninstall:
for pack in to_uninstall:
@@ -168,30 +165,31 @@ RUN PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir --no-deps -e /api
f"Invalid build tool: {pack}; must be one of {', '.join(_BUILD_TOOLS)}"
)
packs_str = " ".join(sorted(to_uninstall))
commands.append(f"RUN pip uninstall -y {packs_str}")
commands.append(f"pip uninstall -y {packs_str}")
# Ensure the directories are removed entirely
packages_rm = " ".join(
f"/usr/local/lib/python*/site-packages/{pack}*" for pack in to_uninstall
)
if "pip" in to_uninstall:
packages_rm += ' && find /usr/local/bin -name "pip*" -delete || true'
commands.append(f"RUN rm -rf {packages_rm}")
commands.append(f"rm -rf {packages_rm}")
wolfi_packages_rm = " ".join(
f"/usr/lib/python*/site-packages/{pack}*" for pack in to_uninstall
)
if "pip" in to_uninstall:
wolfi_packages_rm += ' && find /usr/bin -name "pip*" -delete || true'
commands.append(f"RUN rm -rf {wolfi_packages_rm}")
commands.append(f"rm -rf {wolfi_packages_rm}")
if pip_installer == "uv":
commands.append(
f"RUN uv pip uninstall --system {packs_str} && rm /usr/bin/uv /usr/bin/uvx"
f"uv pip uninstall --system {packs_str} && rm /usr/bin/uv /usr/bin/uvx"
)
else:
if pip_installer == "uv":
commands.append(
"RUN rm /usr/bin/uv /usr/bin/uvx\n# -- End of build deps removal --"
)
return "\n".join(commands)
elif pip_installer == "uv":
commands.append("rm /usr/bin/uv /usr/bin/uvx")
# One RUN, since each layer is costly on copy-based snapshotters; subshells scope each `|| true`.
return (
"# -- Restore langgraph-api over user deps, then remove build deps --\n"
"RUN " + " && \\\n ".join(f"({command})" for command in commands)
)
def _parse_version(version_str: str) -> tuple[int, int]:
@@ -1608,7 +1606,10 @@ ADD {relpath} /deps/{name}
pip_installer=pip_installer,
),
"",
f"WORKDIR {local_deps.working_dir}" if local_deps.working_dir else "",
# The JS install step already set this WORKDIR.
f"WORKDIR {local_deps.working_dir}"
if local_deps.working_dir and not js_inst_str
else "",
]
)
@@ -1690,7 +1691,7 @@ def node_config_to_docker(
"",
os.linesep.join(env_vars),
"",
f"WORKDIR {build_workdir}",
f"WORKDIR {build_workdir}" if build_workdir != install_workdir else "",
"",
build_step,
]
+1 -78
View File
@@ -11,9 +11,8 @@ import time
from collections.abc import Callable, Mapping, Sequence
from contextlib import contextmanager
from dataclasses import asdict, dataclass, field
from datetime import datetime, timedelta, timezone
from datetime import datetime, timezone
from typing import Generic, Protocol, TypeVar
from uuid import UUID
import click
import click.exceptions
@@ -24,7 +23,6 @@ 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 (
@@ -2636,81 +2634,6 @@ def deploy_list(
# ---------------------------------------------------------------------------
@OPT_HOST_API_KEY
@OPT_HOST_URL
@click.argument("deployment_id", type=click.UUID)
@click.option(
"--start-time",
help="ISO8601 start time. Defaults to 15 minutes before --end-time.",
)
@click.option("--end-time", help="ISO8601 end time. Defaults to now.")
@click.option(
"--metrics",
help=(
"Comma-separated metric names. Defaults to all metrics. Supported names: "
"memory_usage, cpu_usage, disk_usage, restart_count, replica_count, "
"worker_count, lg_run_count, responses_per_second, "
"error_responses_per_second, p95_latency, run_queue_wait_time. "
"Availability depends on the deployment and platform."
),
)
@click.option(
"--summary", is_flag=True, help="Omit points and print per-series statistics only."
)
@click.option(
"--raw", is_flag=True, help="Print the original host-backend chart schema."
)
@deploy.command(
"metrics", help="[Beta] Fetch deployment monitoring time series as compact JSON."
)
def deploy_metrics(
api_key: str | None,
host_url: str | None,
deployment_id: UUID,
start_time: str | None,
end_time: str | None,
metrics: str | None,
summary: bool,
raw: bool,
) -> None:
if summary and raw:
raise click.UsageError("--summary and --raw are mutually exclusive.")
end_time = end_time or datetime.now(timezone.utc).isoformat()
if start_time is None:
try:
end = datetime.fromisoformat(end_time.replace("Z", "+00:00"))
except ValueError as exc:
raise click.BadParameter(
"Expected an ISO8601 timestamp.", param_hint="--end-time"
) from exc
end = end.replace(tzinfo=end.tzinfo or timezone.utc).astimezone(timezone.utc)
start_time = (end - timedelta(minutes=15)).isoformat()
params = {
key: value
for key, value in {
"start_time": start_time,
"end_time": end_time,
"metrics": metrics,
}.items()
if value is not None
}
client = _create_host_backend_client(host_url, api_key, no_input=True)
result = _call_host_backend_with_optional_tenant(
client,
lambda c: c.get_deployment_metrics(str(deployment_id), params),
no_input=True,
)
if not raw:
result = compact_deployment_metrics(
result,
str(deployment_id),
start_time=start_time,
end_time=end_time,
summary=summary,
)
click.echo(json_mod.dumps(result, separators=(",", ":")))
@deploy.group(
"listeners",
cls=NestedHelpGroup,
@@ -1,95 +0,0 @@
"""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},
}
-7
View File
@@ -362,13 +362,6 @@ 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:
+6
View File
@@ -65,6 +65,7 @@ class UvLockPlan:
@dataclass(slots=True)
class DockerBuildPlan:
lines: list[str]
workdir: str | None = None
def add_blank(self) -> None:
self.lines.append("")
@@ -73,6 +74,11 @@ class DockerBuildPlan:
self.lines.append(line)
def add_instruction(self, opcode: str, value: str | None = None) -> None:
# Repeating the current WORKDIR changes nothing but still costs a build step.
if opcode == "WORKDIR":
if value == self.workdir:
return
self.workdir = value
if value:
self.lines.append(f"{opcode} {value}")
else:
@@ -1,166 +0,0 @@
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
-7
View File
@@ -1,16 +1,9 @@
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."""
@@ -1,215 +0,0 @@
{
"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
}
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"series_id": "019a0000-0000-7000-8000-000000000001-Restarts",
"timestamp": "2026-10-28T00:02:00+00:00",
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}
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{
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"title": "Queue wait time",
"description": "Resource usage over time",
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"chart_type": "line",
"series": [
{
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"name": "Queue wait time",
"metric": "run_count",
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"index": 1,
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{
"id": "019a0000-0000-7000-8000-000000000001-Latency",
"title": "Latency",
"description": "Resource usage over time",
"index": 0,
"chart_type": "line",
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{
"id": "019a0000-0000-7000-8000-000000000001-P95 Latency",
"name": "P95 Latency",
"metric": "run_count",
"project_metric": "p95_latency",
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"timestamp": "2026-10-28T00:02:00+00:00",
"value": 0.34567,
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"title": "Postgres",
"description": "Postgres metrics",
"index": 2,
"charts": []
}
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}
+15 -11
View File
@@ -1231,7 +1231,6 @@ ENV LANGGRAPH_AUTH='{"path": "./graphs/auth.mts:auth"}'
ENV LANGGRAPH_UI='{"agent": "./graphs/agent.ui.jsx"}'
ENV LANGGRAPH_UI_CONFIG='{"shared": ["nuqs"]}'
ENV LANGSERVE_GRAPHS='{"agent": "./graphs/agent.js:graph"}'
WORKDIR /deps/unit_tests
RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -1422,7 +1421,6 @@ ENV LANGGRAPH_AUTH='{"path": "./graphs/auth.mts:auth"}'
ENV LANGGRAPH_UI='{"agent": "./graphs/agent.ui.jsx"}'
ENV LANGGRAPH_UI_CONFIG='{"shared": ["nuqs"]}'
ENV LANGSERVE_GRAPHS='{"agent": "./graphs/agent.js:graph"}'
WORKDIR /deps/unit_tests
RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
@@ -1550,8 +1548,7 @@ ENV NODE_VERSION=20
WORKDIR /deps/outer-unit_tests/unit_tests
RUN npm i && tsx /api/langgraph_api/js/build.mts
# -- End of JS dependencies install --
{FORMATTED_CLEANUP_LINES}
WORKDIR /deps/outer-unit_tests/unit_tests"""
{FORMATTED_CLEANUP_LINES}"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
assert additional_contexts == {}
@@ -1595,8 +1592,7 @@ ENV NODE_VERSION=22
WORKDIR /deps/outer-unit_tests/unit_tests
RUN npm i && tsx /api/langgraph_api/js/build.mts
# -- End of JS dependencies install --
{FORMATTED_CLEANUP_LINES}
WORKDIR /deps/outer-unit_tests/unit_tests"""
{FORMATTED_CLEANUP_LINES}"""
assert clean_empty_lines(actual_docker_stdin) == expected_docker_stdin
assert additional_contexts == {}
@@ -2152,7 +2148,8 @@ def test_config_to_docker_uv_lock_detects_js_pm_from_target_package_root():
config_path, config, base_image="langchain/langgraph-api:0.2.47"
)
assert "WORKDIR /deps/workspace/apps/agent" in docker
# Package install, JS install and runtime all share this dir: one WORKDIR.
assert docker.splitlines().count("WORKDIR /deps/workspace/apps/agent") == 1
assert (
"RUN pnpm i --frozen-lockfile && tsx /api/langgraph_api/js/build.mts"
in docker
@@ -2803,7 +2800,7 @@ def test_config_retain_build_tools():
"/usr/local/lib/python*/site-packages/" + pckg + "*" in docker_true
for pckg in _BUILD_TOOLS
)
assert "RUN pip uninstall -y pip setuptools wheel" not in docker_true
assert "(pip uninstall -y pip setuptools wheel)" not in docker_true
config_false = validate_config(
{**copy.deepcopy(base_config), "keep_pkg_tools": False}
)
@@ -2814,7 +2811,7 @@ def test_config_retain_build_tools():
"/usr/local/lib/python*/site-packages/" + pckg + "*" in docker_false
for pckg in _BUILD_TOOLS
)
assert "RUN pip uninstall -y pip setuptools wheel" in docker_false
assert "(pip uninstall -y pip setuptools wheel)" in docker_false
config_list = validate_config(
{**copy.deepcopy(base_config), "keep_pkg_tools": ["pip", "setuptools"]}
)
@@ -2829,8 +2826,15 @@ def test_config_retain_build_tools():
"/usr/local/lib/python*/site-packages/" + pckg + "*" in docker_list
for pckg in ("pip", "setuptools")
)
assert "RUN pip uninstall -y wheel" in docker_list
assert "RUN pip uninstall -y pip setuptools" not in docker_list
assert "(pip uninstall -y wheel)" in docker_list
assert "(pip uninstall -y pip setuptools)" not in docker_list
def test_pip_cleanup_is_a_single_run_with_scoped_fallbacks():
cleanup = _get_pip_cleanup_lines("uv pip install --system", _BUILD_TOOLS, "uv")
assert cleanup.count("RUN ") == 1
# Each `|| true` must close its own subshell so it can't mask later steps.
assert cleanup.count("|| true)") == cleanup.count("|| true") == 2
# config_to_compose
@@ -1,139 +0,0 @@
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},
}
+141 -217
View File
@@ -506,28 +506,11 @@ wheels = [
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version = "4.1.0"
version = "3.28.0"
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name = "filelock"
version = "4.2.9"
source = { registry = "https://pypi.org/simple" }
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[[package]]
@@ -550,139 +533,139 @@ wheels = [
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version = "1.81.1"
version = "1.80.0"
source = { registry = "https://pypi.org/simple" }
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]
[[package]]
@@ -2519,8 +2444,7 @@ version = "21.14.13"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "distlib" },
{ 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 = "filelock" },
{ name = "packaging" },
{ name = "platformdirs" },
{ name = "python-discovery" },
@@ -74,8 +74,6 @@ 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.
@@ -136,7 +134,6 @@ 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,
-41
View File
@@ -28,7 +28,6 @@ __all__ = (
"ParentCommand",
"EmptyInputError",
"TaskNotFound",
"UnknownInterruptError",
"is_invalid_resume",
)
@@ -147,46 +146,6 @@ 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.
+9 -15
View File
@@ -85,7 +85,6 @@ from langgraph.types import (
RetryPolicy,
Send,
TimeoutPolicy,
_interrupt_id,
)
GetNextVersion = Callable[[V | None, None], V]
@@ -627,7 +626,7 @@ def prepare_single_task(
config[CONF].get(CONFIG_KEY_SCRATCHPAD),
pending_writes,
task_id,
task_checkpoint_ns,
xxh3_128_hexdigest(task_checkpoint_ns.encode()),
config[CONF].get(CONFIG_KEY_RESUME_MAP),
step,
stop,
@@ -874,7 +873,7 @@ def prepare_push_task_functional(
configurable.get(CONFIG_KEY_SCRATCHPAD),
pending_writes,
task_id,
task_checkpoint_ns,
xxh3_128_hexdigest(task_checkpoint_ns.encode()),
configurable.get(CONFIG_KEY_RESUME_MAP),
step,
stop,
@@ -1036,7 +1035,7 @@ def prepare_push_task_send(
config[CONF].get(CONFIG_KEY_SCRATCHPAD),
pending_writes,
task_id,
task_checkpoint_ns,
xxh3_128_hexdigest(task_checkpoint_ns.encode()),
config[CONF].get(CONFIG_KEY_RESUME_MAP),
step,
stop,
@@ -1185,7 +1184,7 @@ def prepare_node_error_handler_task(
config[CONF].get(CONFIG_KEY_SCRATCHPAD),
pending_writes,
task_id,
task_checkpoint_ns,
xxh3_128_hexdigest(task_checkpoint_ns.encode()),
config[CONF].get(CONFIG_KEY_RESUME_MAP),
step,
stop,
@@ -1281,7 +1280,7 @@ def _scratchpad(
parent_scratchpad: PregelScratchpad | None,
pending_writes: list[PendingWrite],
task_id: str,
task_checkpoint_ns: str,
namespace_hash: str,
resume_map: dict[str, Any] | None,
step: int,
stop: int,
@@ -1308,15 +1307,10 @@ def _scratchpad(
task_resume_write = []
del w
# 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])
# 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)
else:
null_resume_write = None
+3 -33
View File
@@ -48,7 +48,6 @@ 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,
@@ -78,7 +77,6 @@ from langgraph.constants import TAG_HIDDEN
from langgraph.errors import (
EmptyInputError,
GraphInterrupt,
UnknownInterruptError,
)
from langgraph.managed.base import (
ManagedValueMapping,
@@ -1026,45 +1024,17 @@ 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(pending := self._pending_interrupts()) > 1:
message = (
if len(self._pending_interrupts()) > 1:
raise RuntimeError(
"When there are multiple pending interrupts, you must specify the interrupt id when resuming. "
"Docs: https://docs.langchain.com/oss/python/langgraph/interrupts#handling-multiple-interrupts."
"Docs: https://docs.langchain.com/oss/python/langgraph/add-human-in-the-loop#resume-multiple-interrupts-with-one-invocation."
)
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
-21
View File
@@ -28,7 +28,6 @@ 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,
@@ -45,7 +44,6 @@ 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
@@ -573,23 +571,6 @@ 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,
@@ -700,7 +681,6 @@ 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(
@@ -849,7 +829,6 @@ 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:
+12 -35
View File
@@ -884,23 +884,11 @@ class Pregel(
)
def _subgraph_for_namespace(
self,
config: RunnableConfig,
checkpointer: BaseCheckpointSaver,
*,
for_update: bool = False,
self, config: RunnableConfig, checkpointer: BaseCheckpointSaver
) -> 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, 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.
"""
config is for this graph."""
checkpoint_ns = config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, "")
if not checkpoint_ns or CONFIG_KEY_CHECKPOINTER in config[CONF]:
return None
@@ -909,9 +897,7 @@ class Pregel(
return pregel, patch_configurable(
config, {CONFIG_KEY_CHECKPOINTER: checkpointer}
)
if for_update:
raise ValueError(f"Subgraph {recast} not found")
return None
raise ValueError(f"Subgraph {recast} not found")
def _apply_checkpointer_allowlist(
self, checkpointer: BaseCheckpointSaver | None
@@ -1157,9 +1143,7 @@ class Pregel(
"""Get the subgraphs of the graph.
Args:
namespace: Yield only the subgraph at this exact namespace, such
as `parent|child` (without task IDs). A nested namespace needs
`recurse=True`.
namespace: The namespace to filter the subgraphs by.
recurse: Whether to recurse into the subgraphs.
If `False`, only the immediate subgraphs will be returned.
@@ -1167,9 +1151,9 @@ class Pregel(
An iterator of the `(namespace, subgraph)` pairs.
"""
for name, node in self.nodes.items():
# filter by the namespace's first segment, matched whole
# filter by prefix
if namespace is not None:
if namespace != name and not namespace.startswith(name + NS_SEP):
if not namespace.startswith(name):
continue
# find the subgraph, if any
@@ -1183,13 +1167,12 @@ class Pregel(
if namespace is None:
yield name, graph
if recurse and isinstance(graph, Pregel):
child_namespace = (
None if namespace is None else namespace[len(name) + 1 :]
)
if namespace is not None:
namespace = namespace[len(name) + 1 :]
yield from (
(f"{name}{NS_SEP}{n}", s)
for n, s in graph.get_subgraphs(
namespace=child_namespace, recurse=recurse
namespace=namespace, recurse=recurse
)
)
@@ -1199,9 +1182,7 @@ class Pregel(
"""Get the subgraphs of the graph.
Args:
namespace: Yield only the subgraph at this exact namespace, such
as `parent|child` (without task IDs). A nested namespace needs
`recurse=True`.
namespace: The namespace to filter the subgraphs by.
recurse: Whether to recurse into the subgraphs.
If `False`, only the immediate subgraphs will be returned.
@@ -1660,9 +1641,7 @@ class Pregel(
if any(len(u) == 0 for u in supersteps):
raise ValueError("No updates provided")
if subgraph := self._subgraph_for_namespace(
config, checkpointer, for_update=True
):
if subgraph := self._subgraph_for_namespace(config, checkpointer):
pregel, subgraph_config = subgraph
return pregel.bulk_update_state(subgraph_config, supersteps)
@@ -2163,9 +2142,7 @@ class Pregel(
if any(len(u) == 0 for u in supersteps):
raise ValueError("No updates provided")
if subgraph := self._subgraph_for_namespace(
config, checkpointer, for_update=True
):
if subgraph := self._subgraph_for_namespace(config, checkpointer):
pregel, subgraph_config = subgraph
return await pregel.abulk_update_state(subgraph_config, supersteps)
@@ -50,7 +50,6 @@ 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,
@@ -82,7 +81,6 @@ _CONF_DROPLIST = frozenset(
CONFIG_KEY_CHECKPOINT_ID,
CONFIG_KEY_CHECKPOINT_NS,
CONFIG_KEY_TASK_ID,
CONFIG_KEY_STRICT_RESUME,
),
)
+3 -15
View File
@@ -33,7 +33,6 @@ 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
@@ -580,15 +579,6 @@ 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]):
@@ -651,7 +641,7 @@ class Interrupt(Generic[ResponseT]):
) -> Interrupt[ResponseT]:
return cls(
value=value,
id=_interrupt_id(ns, 0),
id=xxh3_128_hexdigest(ns.encode()),
response_schema=response_schema,
)
@@ -1047,11 +1037,9 @@ def interrupt(
# no resume value found
raise GraphInterrupt(
(
Interrupt(
Interrupt.from_ns(
value=value,
id=_interrupt_id(
conf[CONFIG_KEY_CHECKPOINT_NS], len(scratchpad.resume)
),
ns=conf[CONFIG_KEY_CHECKPOINT_NS],
response_schema=adapter.json_schema() if adapter else response_schema,
),
)
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.2.20"
version = "1.2.19"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
+1 -2
View File
@@ -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, CONFIG_KEY_STRICT_RESUME
from langgraph._internal._constants import CONFIG_KEY_STREAM
from langgraph.errors import GraphInterrupt
from langgraph.graph import END, START, MessagesState, StateGraph, add_messages
from langgraph.pregel import Pregel
@@ -1360,7 +1360,6 @@ 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)
-423
View File
@@ -1,423 +0,0 @@
import operator
import sys
import uuid
from typing import Annotated
import pytest
from langchain_core.runnables import RunnableConfig
from langchain_core.runnables.config import get_executor_for_config
from langgraph.checkpoint.base import BaseCheckpointSaver
from typing_extensions import TypedDict
from xxhash import xxh3_128_hexdigest
from langgraph._internal._constants import CONFIG_KEY_STRICT_RESUME, INTERRUPT
from langgraph.errors import UnknownInterruptError
from langgraph.graph import START, StateGraph
from langgraph.graph.state import CompiledStateGraph
from langgraph.types import Command, Durability, Interrupt, RetryPolicy, interrupt
pytestmark = pytest.mark.anyio
NEEDS_CONTEXTVARS = pytest.mark.skipif(
sys.version_info < (3, 11),
reason="Python 3.11+ is required for async contextvars support",
)
UNKNOWN_ID = "0" * 32
class State(TypedDict, total=False):
log: Annotated[list[str], operator.add]
def _config(*, strict: bool = True) -> RunnableConfig:
return {
"configurable": {
"thread_id": str(uuid.uuid4()),
CONFIG_KEY_STRICT_RESUME: strict,
}
}
def _parallel(checkpointer: BaseCheckpointSaver) -> CompiledStateGraph:
def a(state: State):
return {"log": [f"a:{interrupt('a?')}"]}
def b(state: State):
return {"log": [f"b:{interrupt('b?')}"]}
return (
StateGraph(State)
.add_node("a", a)
.add_node("b", b)
.add_edge(START, "a")
.add_edge(START, "b")
.compile(checkpointer=checkpointer)
)
def _ask_twice(checkpointer: BaseCheckpointSaver) -> CompiledStateGraph:
def ask_twice(state: State):
first = interrupt("first?")
second = interrupt("second?")
return {"log": [f"{first},{second}"]}
return (
StateGraph(State)
.add_node("ask", ask_twice)
.add_edge(START, "ask")
.compile(checkpointer=checkpointer)
)
def _ask_then_fail_once(checkpointer: BaseCheckpointSaver) -> CompiledStateGraph:
failures = [ConnectionError("flaky api")]
def ask(state: State):
answer = interrupt("delete a.txt?")
if failures:
raise failures.pop()
return {"log": [answer]}
return (
StateGraph(State)
.add_node(
"ask", ask, retry_policy=RetryPolicy(initial_interval=0, jitter=False)
)
.add_edge(START, "ask")
.compile(checkpointer=checkpointer)
)
def _pending_ids(graph: CompiledStateGraph, config: RunnableConfig) -> dict[str, str]:
return {i.value: i.id for i in graph.get_state(config).interrupts}
def test_unknown_id_is_refused_before_anything_is_written(
sync_checkpointer: BaseCheckpointSaver, durability: Durability
) -> None:
graph = _parallel(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config, durability=durability)
before = graph.get_state(config)
checkpoints = len(list(sync_checkpointer.list(config)))
ids = _pending_ids(graph, config)
with pytest.raises(
UnknownInterruptError,
match=f"Unknown or already-consumed interrupt: {UNKNOWN_ID}",
) as refused:
graph.invoke(Command(resume={UNKNOWN_ID: "x"}), config, durability=durability)
assert (
refused.value.reason,
refused.value.interrupt_ids,
refused.value.pending_ids,
) == ("not_pending", (UNKNOWN_ID,), tuple(sorted(ids.values())))
after = graph.get_state(config)
assert len(list(sync_checkpointer.list(config))) == checkpoints
assert (after.values, after.next, after.interrupts) == (
before.values,
before.next,
before.interrupts,
)
result = graph.invoke(
Command(resume={ids["a?"]: "yes", ids["b?"]: "no"}),
config,
durability=durability,
)
assert sorted(result["log"]) == ["a:yes", "b:no"]
def test_an_answered_id_is_refused(sync_checkpointer: BaseCheckpointSaver) -> None:
graph = _parallel(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
ids = _pending_ids(graph, config)
graph.invoke(Command(resume={ids["a?"]: "yes"}), config)
with pytest.raises(UnknownInterruptError, match=ids["a?"]) as refused:
graph.invoke(Command(resume={ids["a?"]: "again"}), config)
assert (
refused.value.reason,
refused.value.interrupt_ids,
refused.value.pending_ids,
) == ("not_pending", (ids["a?"],), (ids["b?"],))
result = graph.invoke(Command(resume={ids["b?"]: "no"}), config)
assert sorted(result["log"]) == ["a:yes", "b:no"]
def test_an_empty_map_is_refused(sync_checkpointer: BaseCheckpointSaver) -> None:
graph = _parallel(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
with pytest.raises(UnknownInterruptError, match="names no interrupt") as refused:
graph.invoke(Command(resume={}), config)
assert (
refused.value.reason,
refused.value.interrupt_ids,
refused.value.pending_ids,
) == ("empty_map", (), tuple(sorted(_pending_ids(graph, config).values())))
def test_one_value_is_refused_while_several_are_pending(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _parallel(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
with pytest.raises(
UnknownInterruptError, match="multiple pending interrupts"
) as refused:
graph.invoke(Command(resume="yes"), config)
ids = _pending_ids(graph, config)
assert (refused.value.reason, refused.value.pending_ids) == (
"ambiguous",
tuple(sorted(ids.values())),
)
graph.invoke(Command(resume={ids["a?"]: "yes"}), config)
result = graph.invoke(Command(resume="no"), config)
assert sorted(result["log"]) == ["a:yes", "b:no"]
def test_one_value_resumes_a_static_breakpoint(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = (
StateGraph(State)
.add_node("a", lambda state: {"log": ["a"]})
.add_edge(START, "a")
.compile(checkpointer=sync_checkpointer, interrupt_before=["a"])
)
config = _config()
graph.invoke({"log": []}, config)
with pytest.raises(UnknownInterruptError, match=UNKNOWN_ID):
graph.invoke(Command(resume={UNKNOWN_ID: "x"}), config)
assert graph.invoke(Command(resume="go"), config) == {"log": ["a"]}
def test_without_strict_mode_nothing_changes(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _parallel(sync_checkpointer)
config = _config(strict=False)
graph.invoke({"log": []}, config)
graph.invoke(Command(resume={UNKNOWN_ID: "x"}), config)
assert set(_pending_ids(graph, config)) == {"a?", "b?"}
with pytest.raises(RuntimeError, match="multiple pending interrupts"):
graph.invoke(Command(resume="yes"), config)
def test_a_subgraph_interrupt_is_answered_by_its_id(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
def ask(state: State):
return {"log": [f"asked:{interrupt('sub?')}"]}
subgraph = StateGraph(State).add_node("ask", ask).add_edge(START, "ask").compile()
graph = (
StateGraph(State)
.add_node("sub", subgraph)
.add_edge(START, "sub")
.compile(checkpointer=sync_checkpointer)
)
config = _config()
graph.invoke({"log": []}, config)
result = graph.invoke(
Command(resume={_pending_ids(graph, config)["sub?"]: "yes"}), config
)
assert result["log"] == ["asked:yes"]
def test_a_second_interrupt_in_one_node_gets_its_own_id(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _ask_twice(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
state = graph.get_state(config)
(card,) = state.interrupts
assert card.id == xxh3_128_hexdigest(f"ask:{state.tasks[0].id}".encode())
graph.invoke(Command(resume={card.id: "1"}), config)
(second,) = graph.get_state(config).interrupts
assert second.id != card.id
result = graph.invoke(Command(resume={second.id: "2"}), config)
assert result["log"] == ["1,2"]
def test_a_retried_answer_in_one_node_is_refused(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _ask_twice(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
(card,) = graph.get_state(config).interrupts
graph.invoke(Command(resume={card.id: "yes"}), config)
(second,) = graph.get_state(config).interrupts
with pytest.raises(UnknownInterruptError) as refused:
graph.invoke(Command(resume={card.id: "yes"}), config)
assert (
refused.value.reason,
refused.value.interrupt_ids,
refused.value.pending_ids,
) == ("not_pending", (card.id,), (second.id,))
result = graph.invoke(Command(resume={second.id: "no"}), config)
assert result["log"] == ["yes,no"]
def test_parallel_interrupts_in_one_node_each_take_an_answer(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
def ask(name: str) -> str:
return interrupt(f"{name}?")
def ask_in_parallel(state: State, config: RunnableConfig):
with get_executor_for_config(config) as pool:
b = pool.submit(ask, "b")
b.exception()
a = pool.submit(ask, "a")
return {"log": [f"{a.result()},{b.result()}"]}
graph = (
StateGraph(State)
.add_node("ask", ask_in_parallel)
.add_edge(START, "ask")
.compile(checkpointer=sync_checkpointer)
)
config = _config()
graph.invoke({"log": []}, config)
for answer in ("1", "2"):
(card,) = graph.get_state(config).interrupts
graph.invoke(Command(resume={card.id: answer}), config)
assert graph.get_state(config).next == ()
def test_a_later_interrupt_saved_with_the_first_id_is_still_answered(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _ask_twice(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
(card,) = graph.get_state(config).interrupts
graph.invoke(Command(resume={card.id: "1"}), config)
state = graph.get_state(config)
sync_checkpointer.put_writes(
state.config,
[(INTERRUPT, (Interrupt(value="second?", id=card.id),))],
state.tasks[0].id,
)
result = graph.invoke(Command(resume={card.id: "2"}), config)
assert result["log"] == ["1,2"]
def test_a_retried_node_reuses_its_answer(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _ask_then_fail_once(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
(card,) = graph.get_state(config).interrupts
result = graph.invoke(Command(resume={card.id: "yes"}), config)
assert result["log"] == ["yes"]
def test_a_card_whose_resumed_task_raised_is_not_refused(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
failures = ["once"]
def ask_then_fail_once(state: State):
answer = interrupt("approve?")
if failures:
failures.pop()
raise ValueError("failed after the answer")
return {"log": [f"answered:{answer}"]}
graph = (
StateGraph(State)
.add_node("ask", ask_then_fail_once)
.add_edge(START, "ask")
.compile(checkpointer=sync_checkpointer)
)
config = _config()
graph.invoke({"log": []}, config)
(card,) = graph.get_state(config).interrupts
with pytest.raises(ValueError, match="failed after the answer"):
graph.invoke(Command(resume={card.id: "first"}), config)
graph.invoke(Command(resume={card.id: "second"}), config)
assert graph.get_state(config).next == ()
def test_a_pinned_head_checkpoint_is_checked(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _parallel(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
head = graph.get_state(config).config
pinned = {"configurable": {**config["configurable"], **head["configurable"]}}
with pytest.raises(UnknownInterruptError):
graph.invoke(Command(resume={UNKNOWN_ID: "x"}), pinned)
ids = _pending_ids(graph, config)
result = graph.invoke(Command(resume={ids["a?"]: "yes", ids["b?"]: "no"}), pinned)
assert sorted(result["log"]) == ["a:yes", "b:no"]
def test_a_superseded_checkpoint_is_not_checked(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _parallel(sync_checkpointer)
config = _config()
graph.invoke({"log": []}, config)
paused = graph.get_state(config).config
ids = _pending_ids(graph, config)
graph.invoke(Command(resume={ids["a?"]: "yes", ids["b?"]: "no"}), config)
pinned = {"configurable": {**config["configurable"], **paused["configurable"]}}
graph.invoke(Command(resume={ids["a?"]: "again", ids["b?"]: "again"}), pinned)
@NEEDS_CONTEXTVARS
async def test_unknown_id_is_refused_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _parallel(async_checkpointer)
config = _config()
await graph.ainvoke({"log": []}, config)
with pytest.raises(UnknownInterruptError, match=UNKNOWN_ID):
await graph.ainvoke(Command(resume={UNKNOWN_ID: "x"}), config)
state = await graph.aget_state(config)
assert {i.value for i in state.interrupts} == {"a?", "b?"}
@NEEDS_CONTEXTVARS
async def test_a_retried_node_reuses_its_answer_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
graph = _ask_then_fail_once(async_checkpointer)
config = _config()
await graph.ainvoke({"log": []}, config)
(card,) = (await graph.aget_state(config)).interrupts
result = await graph.ainvoke(Command(resume={card.id: "yes"}), config)
assert result["log"] == ["yes"]
@@ -6,24 +6,16 @@ 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
import pytest
from langchain_core.messages import AIMessage, AnyMessage, HumanMessage
from langchain_core.runnables import RunnableConfig
from langchain_core.messages import AIMessage, HumanMessage
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, _messages_delta_reducer
from langgraph.graph.message import MessagesState
from langgraph.types import Command, Interrupt, interrupt
from tests.any_str import AnyStr
@@ -693,301 +685,3 @@ def test_child_with_own_thread_id_keeps_namespace(
parent.invoke({"result": ""}, config=parent_config)
state2 = child.get_state(child_config)
assert state2.values.get("count") == 2
# -- reading a subgraph's namespace from the parent graph --
class NotesState(MessagesState):
notes: str # a key only the subgraphs have
class DeltaMessagesState(TypedDict):
# Stores `messages` as deltas between snapshots, as deepagents' parent does.
messages: Annotated[list[AnyMessage], DeltaChannel(_messages_delta_reducer)]
class DeltaNotesState(DeltaMessagesState):
notes: str
def _notes_graph(label: str, state_schema: type = NotesState) -> Any:
# Typed `dict` so it fits either schema (see `_run_tool_subgraph`).
def work(state: dict) -> dict:
return {"messages": [AIMessage(content=f"{label} done")], "notes": label}
return (
StateGraph(state_schema)
.add_node("work", work)
.add_edge(START, "work")
.compile()
)
def _namespace_configs(parent: Any) -> dict[str, RunnableConfig]:
"""Run `parent` on a new thread. Returns a config for each subgraph
namespace it wrote, keyed by the node the namespace starts with."""
thread_id = str(uuid4())
return {
ns[0].split(":")[0]: {
"configurable": {"thread_id": thread_id, "checkpoint_ns": ns[0]}
}
for ns, _ in parent.stream(
{"messages": [HumanMessage(content="go")]},
{"configurable": {"thread_id": thread_id}},
subgraphs=True,
)
if ns
}
def _run_tool_subgraph(
checkpointer: BaseCheckpointSaver,
*,
parent_schema: type = MessagesState,
subagent_schema: type = NotesState,
) -> tuple[Any, RunnableConfig]:
"""Run a parent whose `tools` node invokes a subgraph it doesn't declare,
as deepagents runs subagents. Returns the parent and a config for the
subgraph's `tools:<task_id>` namespace."""
# Subgraph detection doesn't follow a subscript, so `tools` declares none.
subagents = {"researcher": _notes_graph("researcher", subagent_schema)}
# Typed `dict`: a schema here would add its `messages` channel to the
# parent's, and a plain one clashes with a `DeltaChannel` one.
def tools(state: dict) -> dict:
subagents["researcher"].invoke(
{"messages": [HumanMessage(content="research apples")]}
)
return {"messages": [AIMessage(content="tool done")]}
parent = (
StateGraph(parent_schema)
.add_node("tools", tools)
.add_edge(START, "tools")
.compile(checkpointer=checkpointer)
)
return parent, _namespace_configs(parent)["tools"]
def test_undeclared_subgraph_get_state(sync_checkpointer: BaseCheckpointSaver) -> None:
"""A namespace with no declared subgraph is read with the parent graph."""
parent, ns_config = _run_tool_subgraph(sync_checkpointer)
state = parent.get_state(ns_config)
assert [m.text for m in state.values["messages"]] == [
"research apples",
"researcher done",
]
assert state.config["configurable"]["checkpoint_ns"] == AnyStr("tools:")
def test_undeclared_subgraph_get_state_history(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""History of a namespace with no declared subgraph is read with the parent
graph, and only holds that namespace's checkpoints."""
parent, ns_config = _run_tool_subgraph(sync_checkpointer)
history = list(parent.get_state_history(ns_config))
assert [[m.text for m in s.values.get("messages", [])] for s in history] == [
["research apples", "researcher done"],
["research apples"],
[],
]
assert {s.config["configurable"]["checkpoint_ns"] for s in history} == {
ns_config["configurable"]["checkpoint_ns"]
}
def test_undeclared_subgraph_update_state_raises(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Unlike a read, an update can't fall back to the parent graph: its nodes
and channels would write the wrong state into the subgraph's namespace."""
parent, ns_config = _run_tool_subgraph(sync_checkpointer)
with pytest.raises(ValueError, match="Subgraph tools not found"):
parent.update_state(ns_config, {"messages": [AIMessage(content="edit")]})
assert len(list(parent.get_state_history(ns_config))) == 3
@pytest.mark.parametrize(
("parent_schema", "subagent_schema"),
[(DeltaMessagesState, NotesState), (MessagesState, DeltaNotesState)],
ids=["delta_parent", "delta_subagent"],
)
def test_undeclared_subgraph_read_across_messages_channel_types(
sync_checkpointer: BaseCheckpointSaver,
parent_schema: type,
subagent_schema: type,
) -> None:
"""deepagents' parent stores `messages` in a `DeltaChannel`, and its
subagents in a plain `add_messages` channel. Reading a subagent's namespace
with the parent's channel restores its messages, either way round."""
parent, ns_config = _run_tool_subgraph(
sync_checkpointer,
parent_schema=parent_schema,
subagent_schema=subagent_schema,
)
state = parent.get_state(ns_config)
history = list(parent.get_state_history(ns_config))
assert [m.text for m in state.values["messages"]] == [
"research apples",
"researcher done",
]
assert [[m.text for m in s.values.get("messages", [])] for s in history] == [
["research apples", "researcher done"],
["research apples"],
[],
]
@pytest.mark.parametrize("review_declared", [False, True])
def test_prefix_named_namespaces_resolve_to_their_own_graph(
sync_checkpointer: BaseCheckpointSaver, review_declared: bool
) -> None:
"""`research_review` starts with `research`, whose subgraph has a `review`
node with its own subgraph. Each namespace still reads with its own graph:
a declared subgraph's channels, or the parent's when none is declared."""
research = (
StateGraph(NotesState)
.add_node("review", _notes_graph("research"))
.add_edge(START, "review")
.compile()
)
class ReviewState(NotesState):
verdict: str # a key `research|review`'s graph doesn't have
def review(state: ReviewState) -> dict:
return {
"messages": [AIMessage(content="review done")],
"notes": "review",
"verdict": "approved",
}
# Subgraph detection doesn't follow a subscript, so `call_review` declares
# none.
subgraphs = {
"review": StateGraph(ReviewState)
.add_node("work", review)
.add_edge(START, "work")
.compile()
}
def call_review(state: MessagesState) -> dict:
subgraphs["review"].invoke({"messages": [HumanMessage(content="check it")]})
return {}
parent = (
StateGraph(MessagesState)
.add_node("research", research)
.add_node(
"research_review",
subgraphs["review"] if review_declared else call_review,
)
.add_edge(START, "research")
.add_edge("research", "research_review")
.compile(checkpointer=sync_checkpointer)
)
configs = _namespace_configs(parent)
def values(name: str) -> dict:
return {
k: [m.text for m in v] if k == "messages" else v
for k, v in parent.get_state(configs[name]).values.items()
}
assert values("research") == {
"messages": ["go", "research done"],
"notes": "research",
}
if review_declared:
assert values("research_review") == {
"messages": ["go", "research done", "review done"],
"notes": "review",
"verdict": "approved",
}
else:
# The parent's channels have no `notes` or `verdict`.
assert values("research_review") == {"messages": ["check it", "review done"]}
def _prefix_named_subgraphs() -> tuple[Any, dict[str, Any]]:
"""A parent whose subgraph namespaces start with one another's names:
`research` has a `review` subgraph, and the parent declares
`research_review` and `review` too. Returns the parent and each subgraph,
keyed by its namespace."""
graphs = {
"research|review": _notes_graph("research's review"),
"research_review": _notes_graph("research_review"),
"review": _notes_graph("review"),
}
graphs["research"] = (
StateGraph(NotesState)
.add_node("review", graphs["research|review"])
.add_edge(START, "review")
.compile()
)
parent = (
StateGraph(NotesState)
.add_node("research", graphs["research"])
.add_node("research_review", graphs["research_review"])
.add_node("review", graphs["review"])
.add_edge(START, "research")
.add_edge("research", "research_review")
.add_edge("research_review", "review")
.compile()
)
return parent, graphs
@pytest.mark.parametrize(
"namespace", ["research", "research|review", "research_review", "review"]
)
def test_get_subgraphs_matches_whole_namespace_segments(namespace: str) -> None:
"""`get_subgraphs(namespace=...)` yields only the subgraph at that
namespace. `research_review` isn't `research` then `review`, and
`research|review` doesn't also find the parent's own `review`."""
parent, graphs = _prefix_named_subgraphs()
assert list(parent.get_subgraphs(namespace=namespace, recurse=True)) == [
(namespace, graphs[namespace])
]
def test_nested_namespace_update_raises_despite_top_level_namesake(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""`research|review` names a `review` inside `research`'s subgraph, which
declares no subgraph there. An update to it raises rather than writing
through the parent's own `review`."""
research = (
StateGraph(NotesState)
.add_node("review", lambda state: {})
.add_edge(START, "review")
.compile()
)
parent = (
StateGraph(NotesState)
.add_node("research", research)
.add_node("review", _notes_graph("review"))
.add_edge(START, "research")
.add_edge("research", "review")
.compile(checkpointer=sync_checkpointer)
)
config: RunnableConfig = {
"configurable": {
"thread_id": str(uuid4()),
"checkpoint_ns": "research:a|review:b",
}
}
with pytest.raises(ValueError, match=r"Subgraph research\|review not found"):
parent.update_state(config, {"notes": "edit"})
@@ -6,25 +6,18 @@ 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, AnyMessage, HumanMessage
from langchain_core.runnables import RunnableConfig
from langchain_core.messages import AIMessage, HumanMessage
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, _messages_delta_reducer
from langgraph.graph.message import MessagesState
from langgraph.types import Command, Interrupt, interrupt
from tests.any_str import AnyStr
@@ -714,315 +707,3 @@ 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"})
+117 -204
View File
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]
[[package]]
name = "uvicorn"
version = "0.40.0"
+1 -1
View File
@@ -286,7 +286,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.20"
version = "1.2.19"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
+1 -1
View File
@@ -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__ = "0.4.14"
__version__ = "0.4.12"
__all__ = [
"Auth",
+1 -23
View File
@@ -100,7 +100,6 @@ 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]: ...
@@ -134,7 +133,6 @@ 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]: ...
@@ -230,7 +228,6 @@ 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.
@@ -275,10 +272,6 @@ 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.
@@ -312,7 +305,7 @@ 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={'run_id': '1ef4a9b8-d7da-679a-a45a-872054341df2', 'status': 'success'})
StreamPart(event='end', data=None)
```
"""
@@ -348,7 +341,6 @@ class RunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"strict_resume": strict_resume,
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
@@ -430,7 +422,6 @@ 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(
@@ -461,7 +452,6 @@ 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.
@@ -501,10 +491,6 @@ 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.
@@ -609,7 +595,6 @@ 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}
@@ -671,7 +656,6 @@ 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
@@ -728,7 +712,6 @@ 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.
@@ -766,10 +749,6 @@ 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.
@@ -850,7 +829,6 @@ class RunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"strict_resume": strict_resume,
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
+3 -30
View File
@@ -21,7 +21,6 @@ from langgraph_sdk.schema import (
ThreadSelectField,
ThreadSortBy,
ThreadState,
ThreadStateSelectField,
ThreadStatus,
ThreadStreamMode,
ThreadUpdateStateResponse,
@@ -490,7 +489,6 @@ class ThreadsClient:
checkpoint_id: str | None = None, # deprecated
*,
subgraphs: bool = False,
select: list[ThreadStateSelectField] | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> ThreadState:
@@ -501,9 +499,6 @@ class ThreadsClient:
checkpoint: The checkpoint to get the state of.
checkpoint_id: (deprecated) The checkpoint ID to get the state of.
subgraphs: Include subgraphs states.
select: Fields to include in the response. Use `values.<key>` to
return a single state key (e.g. `values.messages`), which lets the
server skip loading the rest of the state. Defaults to all fields.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -596,30 +591,16 @@ class ThreadsClient:
}
}
```
Fetch only the `messages` state key:
```python
thread_state = await client.threads.get_state(
thread_id="my_thread_id",
select=["values.messages"],
)
```
"""
if checkpoint:
payload: dict[str, Any] = {"checkpoint": checkpoint, "subgraphs": subgraphs}
if select:
payload["select"] = select
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/state/checkpoint",
json=payload,
json={"checkpoint": checkpoint, "subgraphs": subgraphs},
headers=headers,
params=params,
)
elif checkpoint_id:
get_params: dict[str, Any] = {"subgraphs": subgraphs}
if select:
get_params["select"] = select
get_params = {"subgraphs": subgraphs}
if params:
get_params = {**get_params, **dict(params)}
return await self.http.get(
@@ -628,9 +609,7 @@ class ThreadsClient:
headers=headers,
)
else:
get_params: dict[str, Any] = {"subgraphs": subgraphs}
if select:
get_params["select"] = select
get_params = {"subgraphs": subgraphs}
if params:
get_params = {**get_params, **dict(params)}
return await self.http.get(
@@ -713,7 +692,6 @@ class ThreadsClient:
before: str | Checkpoint | None = None,
metadata: Mapping[str, Any] | None = None,
checkpoint: Checkpoint | None = None,
select: list[ThreadStateSelectField] | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> list[ThreadState]:
@@ -725,9 +703,6 @@ class ThreadsClient:
limit: The maximum number of states to return.
before: Return states before this checkpoint.
metadata: Filter states by metadata key-value pairs.
select: Fields to include in the response. Use `values.<key>` to
return a single state key (e.g. `values.messages`), which lets the
server skip loading the rest of the state. Defaults to all fields.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
@@ -754,8 +729,6 @@ class ThreadsClient:
payload["metadata"] = metadata
if checkpoint:
payload["checkpoint"] = checkpoint
if select:
payload["select"] = select
return await self.http.post(
f"/threads/{_quote_path_param(thread_id)}/history",
json=payload,
+1 -23
View File
@@ -100,7 +100,6 @@ 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]: ...
@@ -134,7 +133,6 @@ 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]: ...
@@ -230,7 +228,6 @@ 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.
@@ -274,10 +271,6 @@ 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.
@@ -309,7 +302,7 @@ 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={'run_id': '1ef4a9b8-d7da-679a-a45a-872054341df2', 'status': 'success'})
StreamPart(event='end', data=None)
```
"""
if checkpoint_during is not None:
@@ -343,7 +336,6 @@ class SyncRunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"strict_resume": strict_resume,
"langsmith_tracer": langsmith_tracing,
}
endpoint = (
@@ -425,7 +417,6 @@ 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(
@@ -456,7 +447,6 @@ 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.
@@ -496,10 +486,6 @@ 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`.
@@ -604,7 +590,6 @@ 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}
@@ -666,7 +651,6 @@ 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
@@ -723,7 +707,6 @@ 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.
@@ -762,10 +745,6 @@ 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`.
@@ -847,7 +826,6 @@ class SyncRunsClient:
"on_completion": on_completion,
"after_seconds": after_seconds,
"durability": durability,
"strict_resume": strict_resume,
"langsmith_tracer": langsmith_tracing,
}
+3 -29
View File
@@ -21,7 +21,6 @@ from langgraph_sdk.schema import (
ThreadSelectField,
ThreadSortBy,
ThreadState,
ThreadStateSelectField,
ThreadStatus,
ThreadStreamMode,
ThreadUpdateStateResponse,
@@ -481,7 +480,6 @@ class SyncThreadsClient:
checkpoint_id: str | None = None, # deprecated
*,
subgraphs: bool = False,
select: list[ThreadStateSelectField] | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> ThreadState:
@@ -491,9 +489,6 @@ class SyncThreadsClient:
thread_id: The ID of the thread to get the state of.
checkpoint: The checkpoint to get the state of.
subgraphs: Include subgraphs states.
select: Fields to include in the response. Use `values.<key>` to
return a single state key (e.g. `values.messages`), which lets the
server skip loading the rest of the state. Defaults to all fields.
headers: Optional custom headers to include with the request.
Returns:
@@ -586,29 +581,16 @@ class SyncThreadsClient:
}
```
Fetch only the `messages` state key:
```python
thread_state = client.threads.get_state(
thread_id="my_thread_id",
select=["values.messages"],
)
```
"""
if checkpoint:
payload: dict[str, Any] = {"checkpoint": checkpoint, "subgraphs": subgraphs}
if select:
payload["select"] = select
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/state/checkpoint",
json=payload,
json={"checkpoint": checkpoint, "subgraphs": subgraphs},
headers=headers,
params=params,
)
elif checkpoint_id:
get_params: dict[str, Any] = {"subgraphs": subgraphs}
if select:
get_params["select"] = select
get_params = {"subgraphs": subgraphs}
if params:
get_params = {**get_params, **dict(params)}
return self.http.get(
@@ -617,9 +599,7 @@ class SyncThreadsClient:
headers=headers,
)
else:
get_params: dict[str, Any] = {"subgraphs": subgraphs}
if select:
get_params["select"] = select
get_params = {"subgraphs": subgraphs}
if params:
get_params = {**get_params, **dict(params)}
return self.http.get(
@@ -699,7 +679,6 @@ class SyncThreadsClient:
before: str | Checkpoint | None = None,
metadata: Mapping[str, Any] | None = None,
checkpoint: Checkpoint | None = None,
select: list[ThreadStateSelectField] | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> list[ThreadState]:
@@ -711,9 +690,6 @@ class SyncThreadsClient:
limit: The maximum number of states to return.
before: Return states before this checkpoint.
metadata: Filter states by metadata key-value pairs.
select: Fields to include in the response. Use `values.<key>` to
return a single state key (e.g. `values.messages`), which lets the
server skip loading the rest of the state. Defaults to all fields.
headers: Optional custom headers to include with the request.
Returns:
@@ -741,8 +717,6 @@ class SyncThreadsClient:
payload["metadata"] = metadata
if checkpoint:
payload["checkpoint"] = checkpoint
if select:
payload["select"] = select
return self.http.post(
f"/threads/{_quote_path_param(thread_id)}/history",
json=payload,
-22
View File
@@ -58,8 +58,6 @@ StreamMode = Literal[
"debug",
"custom",
"messages-tuple",
"tools",
"lifecycle",
]
"""
Defines the mode of streaming:
@@ -71,8 +69,6 @@ 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"]
@@ -384,8 +380,6 @@ 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):
@@ -486,21 +480,6 @@ ThreadSelectField = Literal[
"interrupts",
]
ThreadStateSelectField = (
Literal[
"values",
"next",
"tasks",
"checkpoint",
"metadata",
"created_at",
"parent_checkpoint",
"interrupts",
]
| str
)
"""Also accepts `values.<key>` for a single state key, e.g. `values.messages`."""
RunSelectField = Literal[
"run_id",
"thread_id",
@@ -511,7 +490,6 @@ RunSelectField = Literal[
"metadata",
"kwargs",
"multitask_strategy",
"cancel_reason",
]
CronSelectField = Literal[
+1 -1
View File
@@ -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", "strict_resume"},
"None": {"checkpoint", "checkpoint_id", "multitask_strategy"},
"str": {"on_completion"},
}
-52
View File
@@ -212,55 +212,3 @@ 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
-126
View File
@@ -11,14 +11,6 @@ from langgraph_sdk.client import (
SyncThreadsClient,
ThreadsClient,
)
from langgraph_sdk.schema import Checkpoint
CHECKPOINT: Checkpoint = {
"thread_id": "thread_123",
"checkpoint_ns": "",
"checkpoint_id": "cp_1",
"checkpoint_map": None,
}
@pytest.mark.asyncio
@@ -64,121 +56,3 @@ def test_sync_threads_update_return_minimal():
)
assert result is None
@pytest.mark.asyncio
async def test_async_threads_get_state_select():
requests: list[httpx.Request] = []
async def handler(request: httpx.Request) -> httpx.Response:
requests.append(request)
return httpx.Response(200, json={})
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
threads_client = ThreadsClient(HttpClient(client))
await threads_client.get_state("thread_123", select=["values.messages", "next"])
await threads_client.get_state(
"thread_123", checkpoint_id="cp_1", select=["values.messages"]
)
await threads_client.get_state(
"thread_123",
checkpoint=CHECKPOINT,
select=["values.messages"],
)
await threads_client.get_state("thread_123")
latest, by_id, by_checkpoint, default = requests
assert latest.method == "GET"
assert latest.url.path == "/threads/thread_123/state"
assert latest.url.params.get_list("select") == ["values.messages", "next"]
assert by_id.method == "GET"
assert by_id.url.path == "/threads/thread_123/state/cp_1"
assert by_id.url.params.get_list("select") == ["values.messages"]
assert by_checkpoint.method == "POST"
assert by_checkpoint.url.path == "/threads/thread_123/state/checkpoint"
assert json.loads(by_checkpoint.content) == {
"checkpoint": CHECKPOINT,
"subgraphs": False,
"select": ["values.messages"],
}
assert "select" not in default.url.params
@pytest.mark.asyncio
async def test_async_threads_get_history_select():
bodies: list[dict] = []
async def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "POST"
assert request.url.path == "/threads/thread_123/history"
bodies.append(json.loads(request.content))
return httpx.Response(200, json=[])
transport = httpx.MockTransport(handler)
async with httpx.AsyncClient(
transport=transport, base_url="https://example.com"
) as client:
threads_client = ThreadsClient(HttpClient(client))
await threads_client.get_history("thread_123", select=["values.messages"])
await threads_client.get_history("thread_123")
assert bodies == [{"limit": 10, "select": ["values.messages"]}, {"limit": 10}]
def test_sync_threads_get_state_select():
requests: list[httpx.Request] = []
def handler(request: httpx.Request) -> httpx.Response:
requests.append(request)
return httpx.Response(200, json={})
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
threads_client = SyncThreadsClient(SyncHttpClient(client))
threads_client.get_state("thread_123", select=["values.messages", "next"])
threads_client.get_state(
"thread_123", checkpoint_id="cp_1", select=["values.messages"]
)
threads_client.get_state(
"thread_123",
checkpoint=CHECKPOINT,
select=["values.messages"],
)
threads_client.get_state("thread_123")
latest, by_id, by_checkpoint, default = requests
assert latest.method == "GET"
assert latest.url.path == "/threads/thread_123/state"
assert latest.url.params.get_list("select") == ["values.messages", "next"]
assert by_id.method == "GET"
assert by_id.url.path == "/threads/thread_123/state/cp_1"
assert by_id.url.params.get_list("select") == ["values.messages"]
assert by_checkpoint.method == "POST"
assert by_checkpoint.url.path == "/threads/thread_123/state/checkpoint"
assert json.loads(by_checkpoint.content) == {
"checkpoint": CHECKPOINT,
"subgraphs": False,
"select": ["values.messages"],
}
assert "select" not in default.url.params
def test_sync_threads_get_history_select():
bodies: list[dict] = []
def handler(request: httpx.Request) -> httpx.Response:
assert request.method == "POST"
assert request.url.path == "/threads/thread_123/history"
bodies.append(json.loads(request.content))
return httpx.Response(200, json=[])
transport = httpx.MockTransport(handler)
with httpx.Client(transport=transport, base_url="https://example.com") as client:
threads_client = SyncThreadsClient(SyncHttpClient(client))
threads_client.get_history("thread_123", select=["values.messages"])
threads_client.get_history("thread_123")
assert bodies == [{"limit": 10, "select": ["values.messages"]}, {"limit": 10}]
+1 -1
View File
@@ -301,7 +301,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "1.2.20"
version = "1.2.19"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },