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Author SHA1 Message Date
Eugene Yurtsev b06dbaae7a x 2025-08-13 11:17:19 -04:00
Eugene Yurtsev d5a835e5fd x 2025-08-13 11:16:28 -04:00
Eugene YurtsevandGitHub 9e174e7e8b chore(prebuilt): move unit tests for ToolNode into the tool node testing code (#5893)
Move unit tests for ToolNode into the tool node testing code
2025-08-13 11:15:10 -04:00
Eugene YurtsevandGitHub 9e9a5d2498 feat(prebuilt): Split tool node to individual tool nodes (#5888)
Add option to split tool node to individual nodes. 

Summary:
* User code (specifically streaming) may break if it's relying on the
name of the `tools` node
* The boolean flag in the interface is likely **temporary** (especially
if there are no major breaking changes)
* We'll need to decide if we can get rid of the version in create react
agent. "v1" is not consistent conceptually with a node per tool.
2025-08-13 09:49:27 -04:00
Eugene Yurtsev 7e257dadd6 x 2025-08-12 21:52:21 -04:00
Eugene Yurtsev 2fed0e4852 Internal refactor of create react-agent 2025-08-12 21:50:19 -04:00
47 changed files with 2721 additions and 3739 deletions
+2 -7
View File
@@ -1,15 +1,10 @@
import ast
import os
from itertools import filterfalse
from typing import Dict, List, Tuple
from typing import List, Tuple
ROOT_PATH = os.path.abspath(os.path.join(__file__, "..", "..", ".."))
CLIENT_PATH = os.path.join(ROOT_PATH, "libs", "sdk-py", "langgraph_sdk", "client.py")
ASYNC_TO_SYNC_METHOD_MAP: Dict[str, str] = {
"aclose": "close",
"__aenter__": "__enter__",
"__aexit__": "__exit__",
}
def get_class_methods(node: ast.ClassDef) -> List[str]:
@@ -27,7 +22,7 @@ def find_classes(tree: ast.AST) -> List[Tuple[str, List[str]]]:
def compare_sync_async_methods(sync_methods: List[str], async_methods: List[str]) -> List[str]:
sync_set = set(sync_methods)
async_set = {ASYNC_TO_SYNC_METHOD_MAP.get(async_method, async_method) for async_method in async_methods}
async_set = set(async_methods)
missing_in_sync = list(async_set - sync_set)
missing_in_async = list(sync_set - async_set)
return missing_in_sync + missing_in_async
+86 -124
View File
@@ -1,145 +1,107 @@
import asyncio
import json
import os
import pathlib
import sys
import time
from urllib import request, error
import langgraph_cli
import langgraph_cli.config
import langgraph_cli.docker
from langgraph_cli.cli import prepare_args_and_stdin
from langgraph_cli.constants import DEFAULT_PORT
import langgraph_cli.config
from langgraph_cli.exec import Runner, subp_exec
from langgraph_cli.progress import Progress
from langgraph_cli.constants import DEFAULT_PORT
def test(config: pathlib.Path, port: int, tag: str, verbose: bool):
"""Spin up API with Postgres/Redis via docker compose and wait until ready."""
def test(
config: pathlib.Path,
port: int,
tag: str,
verbose: bool,
):
with Runner() as runner, Progress(message="Pulling...") as set:
# Detect docker/compose capabilities
# check docker available
capabilities = langgraph_cli.docker.check_capabilities(runner)
# Validate config and prepare compose stdin/args using built image
# open config
config_json = langgraph_cli.config.validate_config_file(config)
args, stdin = prepare_args_and_stdin(
capabilities=capabilities,
config_path=config,
config=config_json,
docker_compose=None,
port=port,
watch=False,
debugger_port=None,
debugger_base_url=f"http://127.0.0.1:{port}",
postgres_uri=None,
api_version=None,
image=tag,
base_image=None,
)
# Compose up with wait (implies detach), similar to `langgraph up --wait`
args_up = [*args, "up", "--remove-orphans", "--wait"]
set("Running...")
args = [
"run",
"--rm",
"-p",
f"{port}:8000",
]
if isinstance(config_json["env"], str):
args.extend(
[
"--env-file",
str(config.parent / config_json["env"]),
]
)
else:
for k, v in config_json["env"].items():
args.extend(
[
"-e",
f"{k}={v}",
]
)
if capabilities.healthcheck_start_interval:
args.extend(
[
"--health-interval",
"5s",
"--health-retries",
"1",
"--health-start-period",
"10s",
"--health-start-interval",
"1s",
]
)
else:
args.extend(
[
"--health-interval",
"5s",
"--health-retries",
"2",
]
)
compose_cmd = ["docker", "compose"]
if capabilities.compose_type == "standalone":
compose_cmd = ["docker-compose"]
_task = None
def on_stdout(line: str):
nonlocal _task
if "GET /ok" in line or "Uvicorn running on" in line:
set("")
sys.stdout.write(
f"""Ready!
- API: http://localhost:{port}
"""
)
sys.stdout.flush()
_task.cancel()
return True
return False
async def subp_exec_task(*args, **kwargs):
nonlocal _task
_task = asyncio.create_task(subp_exec(*args, **kwargs))
await _task
set("Starting...")
try:
runner.run(
subp_exec(
*compose_cmd,
*args_up,
input=stdin,
subp_exec_task(
"docker",
*args,
tag,
verbose=verbose,
on_stdout=on_stdout,
)
)
except Exception as e: # noqa: BLE001
# On failure, show diagnostics then ensure clean teardown
sys.stderr.write(f"docker compose up failed: {e}\n")
try:
sys.stderr.write("\n== docker compose ps ==\n")
runner.run(subp_exec(*compose_cmd, *args, "ps", input=stdin, verbose=False))
except Exception:
pass
try:
sys.stderr.write("\n== docker compose logs (api) ==\n")
runner.run(
subp_exec(
*compose_cmd,
*args,
"logs",
"langgraph-api",
input=stdin,
verbose=False,
)
)
except Exception:
pass
finally:
try:
runner.run(
subp_exec(
*compose_cmd,
*args,
"down",
"-v",
"--remove-orphans",
input=stdin,
verbose=False,
)
)
finally:
raise
set("")
base_url = f"http://localhost:{port}"
ok_url = f"{base_url}/ok"
print(f"Waiting for {ok_url} to respond with 200...")
deadline = time.time() + 30
last_err: Exception | None = None
while time.time() < deadline:
try:
with request.urlopen(ok_url, timeout=2) as resp:
if resp.status == 200:
sys.stdout.write(
f"""Ready!\n- API: {base_url}\n- /ok: 200 OK\n"""
)
sys.stdout.flush()
break
else:
last_err = RuntimeError(f"Unexpected status: {resp.status}")
print(f"Unexpected status: {resp.status}")
except error.URLError as e:
last_err = e
except Exception as e: # noqa: BLE001
last_err = e
time.sleep(0.5)
else:
# Bring stack down before raising
args_down = [*args, "down", "-v", "--remove-orphans"]
try:
runner.run(
subp_exec(
*compose_cmd,
*args_down,
input=stdin,
verbose=verbose,
)
)
finally:
raise SystemExit(
f"/ok did not return 202 within timeout. Last error: {last_err}"
)
# Clean up: bring compose stack down to free ports for next test
args_down = [*args, "down", "-v", "--remove-orphans"]
runner.run(
subp_exec(
*compose_cmd,
*args_down,
input=stdin,
verbose=verbose,
)
)
except asyncio.CancelledError:
pass
if __name__ == "__main__":
@@ -148,6 +110,6 @@ if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("-t", "--tag", type=str)
parser.add_argument("-c", "--config", type=str, default="./langgraph.json")
parser.add_argument("-p", "--port", type=int, default=DEFAULT_PORT)
parser.add_argument("-p", "--port", default=DEFAULT_PORT)
args = parser.parse_args()
test(pathlib.Path(args.config), args.port, args.tag, verbose=True)
+5 -20
View File
@@ -43,43 +43,28 @@ jobs:
- name: Build and test service A
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
# The build-arg isn't used; just testing that we accept other args
langgraph build -t langgraph-test-a
cp .env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
langgraph build -t langgraph-test-a --base-image "langchain/langgraph-trial"
cp .env.example .envg
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -c langgraph.json -t langgraph-test-a
- name: Build and test service B
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
langgraph build -t langgraph-test-b
cp ../.env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
langgraph build -t langgraph-test-b --base-image "langchain/langgraph-trial"
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-b
- name: Build and test service C
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs_reqs_a
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
langgraph build -t langgraph-test-c
cp ../.env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
langgraph build -t langgraph-test-c --base-image "langchain/langgraph-trial"
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-c
- name: Build and test service D
if: steps.changed-files.outputs.all
working-directory: libs/cli/examples/graphs_reqs_b
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
run: |
langgraph build -t langgraph-test-d
cp ../.env.example .env
if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
langgraph build -t langgraph-test-d --base-image "langchain/langgraph-trial"
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d
- name: Build JS service
-1
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@@ -78,7 +78,6 @@ jobs:
"libs/checkpoint-sqlite",
"libs/checkpoint-postgres",
"libs/prebuilt",
"libs/sdk-py",
]
if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
uses: ./.github/workflows/_test.yml
+1 -7
View File
@@ -62,13 +62,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
run: |
PKG_NAME=$(grep -m 1 "^name = " pyproject.toml | cut -d '"' -f 2)
if grep -q 'dynamic.*=.*\[.*"version".*\]' pyproject.toml; then
# handle dynamic versioning
DIR_NAME=$(echo "$PKG_NAME" | tr '-' '_')
VERSION=$(grep -m 1 '^__version__' "${DIR_NAME}/__init__.py" | cut -d '"' -f 2)
else
VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
fi
VERSION=$(grep -m 1 "^version = " pyproject.toml | cut -d '"' -f 2)
SHORT_PKG_NAME="$(echo "$PKG_NAME" | sed -e 's/langgraph//g' -e 's/-//g')"
if [ -z $SHORT_PKG_NAME ]; then
TAG="$VERSION"
+2 -2
View File
@@ -190,11 +190,11 @@ REDIRECT_MAP = {
"concepts/langgraph_cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
"concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/hybrid",
"concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted",
"concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#standalone-server",
"concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#data-plane-only",
"cloud/deployment/cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
"cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-hybrid",
"cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-full-platform",
"cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-standalone-server",
"cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-data-plane-only",
"concepts/server-mcp.md": "https://docs.langchain.com/langgraph-platform/server-mcp",
"cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langgraph-platform/human-in-the-loop-time-travel",
"cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langgraph-platform/add-human-in-the-loop",
+10 -577
View File
@@ -28,14 +28,6 @@
{
"name": "Store",
"description": "Store is an API for managing persistent key-value store (long-term memory) that is available from any thread."
},
{
"name": "MCP",
"description": "Model Context Protocol related endpoints for exposing an agent as an MCP server."
},
{
"name": "System",
"description": "System endpoints for health checks, metrics, and server information."
}
],
"paths": {
@@ -157,59 +149,6 @@
}
}
},
"/assistants/count": {
"post": {
"tags": [
"Assistants"
],
"summary": "Count Assistants",
"description": "Get the count of assistants matching the specified criteria.",
"operationId": "count_assistants_assistants_count_post",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/AssistantCountRequest"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"type": "integer",
"title": "Count"
}
}
}
},
"404": {
"description": "Not Found",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
},
"/assistants/{assistant_id}": {
"get": {
"tags": [
@@ -866,59 +805,6 @@
}
}
},
"/threads/count": {
"post": {
"tags": [
"Threads"
],
"summary": "Count Threads",
"description": "Get the count of threads matching the specified criteria.",
"operationId": "count_threads_threads_count_post",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ThreadCountRequest"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"type": "integer",
"title": "Count"
}
}
}
},
"404": {
"description": "Not Found",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
},
"/threads/{thread_id}/state": {
"get": {
"tags": [
@@ -1575,30 +1461,6 @@
},
"name": "status",
"in": "query"
},
{
"required": false,
"schema": {
"type": "array",
"items": {
"type": "string",
"enum": [
"run_id",
"thread_id",
"assistant_id",
"created_at",
"updated_at",
"status",
"metadata",
"kwargs",
"multitask_strategy"
]
},
"title": "Select",
"description": "Specify which fields to return. If not provided, all fields are returned."
},
"name": "select",
"in": "query"
}
],
"responses": {
@@ -2450,59 +2312,6 @@
}
}
},
"/runs/crons/count": {
"post": {
"tags": [
"Crons (Plus tier)"
],
"summary": "Count Crons",
"description": "Get the count of crons matching the specified criteria.",
"operationId": "count_crons_runs_crons_count_post",
"requestBody": {
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/CronCountRequest"
}
}
},
"required": true
},
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"type": "integer",
"title": "Count"
}
}
}
},
"404": {
"description": "Not Found",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
},
"422": {
"description": "Validation Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
},
"/runs/stream": {
"post": {
"tags": [
@@ -3187,153 +2996,6 @@
"MCP"
]
}
},
"/info": {
"get": {
"tags": [
"System"
],
"summary": "Server Information",
"description": "Get server version information, feature flags, and metadata.",
"operationId": "server_info_info_get",
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"version": {
"type": "string",
"title": "Version",
"description": "LangGraph API version"
},
"langgraph_py_version": {
"type": "string",
"title": "LangGraph Python Version",
"description": "LangGraph Python library version"
},
"flags": {
"type": "object",
"title": "Feature Flags",
"description": "Enabled features and capabilities"
},
"metadata": {
"type": "object",
"title": "Metadata",
"description": "Server deployment metadata"
}
},
"required": ["version", "langgraph_py_version", "flags", "metadata"],
"title": "ServerInfo"
}
}
}
}
}
}
},
"/metrics": {
"get": {
"tags": [
"System"
],
"summary": "System Metrics",
"description": "Get system metrics in Prometheus or JSON format for monitoring and observability.",
"operationId": "system_metrics_metrics_get",
"parameters": [
{
"name": "format",
"in": "query",
"required": false,
"schema": {
"type": "string",
"enum": ["prometheus", "json"],
"default": "prometheus",
"title": "Output Format",
"description": "Response format: prometheus (default) or json"
}
}
],
"responses": {
"200": {
"description": "Success",
"content": {
"text/plain": {
"schema": {
"type": "string",
"title": "Prometheus Metrics",
"description": "Metrics in Prometheus exposition format"
}
},
"application/json": {
"schema": {
"type": "object",
"title": "JSON Metrics",
"description": "Metrics in JSON format including queue stats, worker stats, and HTTP metrics"
}
}
}
}
}
}
},
"/ok": {
"get": {
"tags": [
"System"
],
"summary": "Health Check",
"description": "Check the health status of the server. Optionally check database connectivity.",
"operationId": "health_check_ok_get",
"parameters": [
{
"name": "check_db",
"in": "query",
"required": false,
"schema": {
"type": "integer",
"enum": [0, 1],
"default": 0,
"title": "Check Database",
"description": "Whether to check database connectivity (0=false, 1=true)"
}
}
],
"responses": {
"200": {
"description": "Success",
"content": {
"application/json": {
"schema": {
"type": "object",
"properties": {
"ok": {
"type": "boolean",
"const": true,
"title": "OK",
"description": "Indicates the server is healthy"
}
},
"required": ["ok"],
"title": "HealthResponse"
}
}
}
},
"500": {
"description": "Internal Server Error",
"content": {
"application/json": {
"schema": {
"$ref": "#/components/schemas/ErrorResponse"
}
}
}
}
}
}
}
},
"components": {
@@ -3373,11 +3035,6 @@
"title": "Config",
"description": "The assistant config."
},
"context": {
"type": "object",
"title": "Context",
"description": "Static context added to the assistant."
},
"created_at": {
"type": "string",
"format": "date-time",
@@ -3443,11 +3100,6 @@
"title": "Config",
"description": "Configuration to use for the graph. Useful when graph is configurable and you want to create different assistants based on different configurations."
},
"context": {
"type": "object",
"title": "Context",
"description": "Static context added to the assistant."
},
"metadata": {
"type": "object",
"title": "Metadata",
@@ -3496,11 +3148,6 @@
"title": "Config",
"description": "Configuration to use for the graph. Useful when graph is configurable and you want to update the assistant's configuration."
},
"context": {
"type": "object",
"title": "Context",
"description": "Static context added to the assistant."
},
"metadata": {
"type": "object",
"title": "Metadata",
@@ -3562,12 +3209,6 @@
"title": "Cron Id",
"description": "The ID of the cron."
},
"assistant_id": {
"type": ["string", "null"],
"format": "uuid",
"title": "Assistant Id",
"description": "The ID of the assistant."
},
"thread_id": {
"type": "string",
"format": "uuid",
@@ -3597,26 +3238,10 @@
"title": "Updated At",
"description": "The last time the cron was updated."
},
"user_id": {
"type": ["string", "null"],
"title": "User Id",
"description": "The ID of the user."
},
"payload": {
"type": "object",
"title": "Payload",
"description": "The run payload to use for creating new run."
},
"next_run_date": {
"type": ["string", "null"],
"format": "date-time",
"title": "Next Run Date",
"description": "The next run date of the cron."
},
"metadata": {
"type": "object",
"title": "Metadata",
"description": "The cron metadata."
}
},
"type": "object",
@@ -3701,11 +3326,6 @@
"title": "Config",
"description": "The configuration for the assistant."
},
"context": {
"type": "object",
"title": "Context",
"description": "Static context added to the assistant."
},
"webhook": {
"type": "string",
"maxLength": 65536,
@@ -3760,7 +3380,7 @@
],
"title": "Multitask Strategy",
"description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.",
"default": "enqueue"
"default": "reject"
}
},
"type": "object",
@@ -3777,7 +3397,7 @@
"type": "string",
"format": "uuid",
"title": "Assistant Id",
"description": "The assistant ID or graph name to filter by using exact match."
"description": "The assistant ID or graph name to search for."
},
"thread_id": {
"type": "string",
@@ -3813,28 +3433,6 @@
"description": "The order to sort by.",
"default": "desc",
"enum": ["asc", "desc"]
},
"select": {
"type": "array",
"items": {
"type": "string",
"enum": [
"cron_id",
"assistant_id",
"thread_id",
"end_time",
"schedule",
"created_at",
"updated_at",
"user_id",
"payload",
"next_run_date",
"metadata",
"now"
]
},
"title": "Select",
"description": "Specify which fields to return. If not provided, all fields are returned."
}
},
"type": "object",
@@ -3842,25 +3440,6 @@
"title": "CronSearch",
"description": "Payload for listing crons"
},
"CronCountRequest": {
"properties": {
"assistant_id": {
"type": "string",
"format": "uuid",
"title": "Assistant Id",
"description": "The assistant ID or graph name to search for."
},
"thread_id": {
"type": "string",
"format": "uuid",
"title": "Thread Id",
"description": "The thread ID to search for."
}
},
"type": "object",
"title": "CronCountRequest",
"description": "Payload for counting crons"
},
"GraphSchema": {
"properties": {
"graph_id": {
@@ -3887,17 +3466,13 @@
"type": "object",
"title": "Config Schema",
"description": "The schema for the graph config. Missing if unable to generate JSON schema from graph."
},
"context_schema": {
"type": "object",
"title": "Context Schema",
"description": "The schema for the graph context. Missing if unable to generate JSON schema from graph."
}
},
"type": "object",
"required": [
"graph_id",
"state_schema"
"state_schema",
"config_schema"
],
"title": "GraphSchema",
"description": "Defines the structure and properties of a graph."
@@ -3923,18 +3498,14 @@
"type": "object",
"title": "Config Schema",
"description": "The schema for the graph config. Missing if unable to generate JSON schema from graph."
},
"context_schema": {
"type": "object",
"title": "Context Schema",
"description": "The schema for the graph context. Missing if unable to generate JSON schema from graph."
}
},
"type": "object",
"required": [
"input_schema",
"output_schema",
"state_schema"
"state_schema",
"config_schema"
],
"title": "GraphSchemaNoId",
"description": "Defines the structure and properties of a graph without an ID."
@@ -3945,7 +3516,7 @@
"$ref": "#/components/schemas/GraphSchemaNoId"
},
"title": "Subgraphs",
"description": "Map of graph name to graph schema metadata (`input_schema`, `output_schema`, `state_schema`, `config_schema`, `context_schema`)."
"description": "Map of graph name to graph schema metadata (`input_schema`, `output_schema`, `state_schema`, `config_schema`)."
},
"Run": {
"properties": {
@@ -4195,11 +3766,6 @@
"title": "Config",
"description": "The configuration for the assistant."
},
"context": {
"type": "object",
"title": "Context",
"description": "Static context added to the assistant."
},
"webhook": {
"type": "string",
"maxLength": 65536,
@@ -4253,8 +3819,6 @@
"values",
"messages",
"messages-tuple",
"tasks",
"checkpoints",
"updates",
"events",
"debug",
@@ -4269,8 +3833,6 @@
"values",
"messages",
"messages-tuple",
"tasks",
"checkpoints",
"updates",
"events",
"debug",
@@ -4324,7 +3886,7 @@
],
"title": "Multitask Strategy",
"description": "Multitask strategy to use. Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.",
"default": "enqueue"
"default": "reject"
},
"if_not_exists": {
"type": "string",
@@ -4443,11 +4005,6 @@
"title": "Config",
"description": "The configuration for the assistant."
},
"context": {
"type": "object",
"title": "Context",
"description": "Static context added to the assistant."
},
"webhook": {
"type": "string",
"maxLength": 65536,
@@ -4501,8 +4058,6 @@
"values",
"messages",
"messages-tuple",
"tasks",
"checkpoints",
"updates",
"events",
"debug",
@@ -4517,8 +4072,6 @@
"values",
"messages",
"messages-tuple",
"tasks",
"checkpoints",
"updates",
"events",
"debug",
@@ -4638,49 +4191,12 @@
],
"title": "Sort Order",
"description": "The order to sort by."
},
"select": {
"type": "array",
"items": {
"type": "string",
"enum": [
"assistant_id",
"graph_id",
"name",
"description",
"config",
"context",
"created_at",
"updated_at",
"metadata",
"version"
]
},
"title": "Select",
"description": "Specify which fields to return. If not provided, all fields are returned."
}
},
"type": "object",
"title": "AssistantSearchRequest",
"description": "Payload for listing assistants."
},
"AssistantCountRequest": {
"properties": {
"metadata": {
"type": "object",
"title": "Metadata",
"description": "Metadata to filter by. Exact match filter for each KV pair."
},
"graph_id": {
"type": "string",
"title": "Graph Id",
"description": "The ID of the graph to filter by. The graph ID is normally set in your langgraph.json configuration."
}
},
"type": "object",
"title": "AssistantCountRequest",
"description": "Payload for counting assistants."
},
"AssistantVersionsSearchRequest": {
"properties": {
"metadata": {
@@ -4765,59 +4281,12 @@
],
"title": "Sort Order",
"description": "Sort order."
},
"select": {
"type": "array",
"items": {
"type": "string",
"enum": [
"thread_id",
"created_at",
"updated_at",
"metadata",
"config",
"context",
"status",
"values",
"interrupts"
]
},
"title": "Select",
"description": "Specify which fields to return. If not provided, all fields are returned."
}
},
"type": "object",
"title": "ThreadSearchRequest",
"description": "Payload for listing threads."
},
"ThreadCountRequest": {
"properties": {
"metadata": {
"type": "object",
"title": "Metadata",
"description": "Thread metadata to filter on."
},
"values": {
"type": "object",
"title": "Values",
"description": "State values to filter on."
},
"status": {
"type": "string",
"enum": [
"idle",
"busy",
"interrupted",
"error"
],
"title": "Status",
"description": "Thread status to filter on."
}
},
"type": "object",
"title": "ThreadCountRequest",
"description": "Payload for counting threads."
},
"Thread": {
"properties": {
"thread_id": {
@@ -4843,11 +4312,6 @@
"title": "Metadata",
"description": "The thread metadata."
},
"config": {
"type": "object",
"title": "Config",
"description": "The thread config."
},
"status": {
"type": "string",
"enum": [
@@ -4863,11 +4327,6 @@
"type": "object",
"title": "Values",
"description": "The current state of the thread."
},
"interrupts": {
"type": "object",
"title": "Interrupts",
"description": "The current interrupts of the thread."
}
},
"type": "object",
@@ -5017,9 +4476,7 @@
},
"interrupts": {
"type": "array",
"items": {
"$ref": "#/components/schemas/Interrupt"
}
"items": {}
},
"checkpoint": {
"$ref": "#/components/schemas/CheckpointConfig",
@@ -5052,12 +4509,6 @@
"parent_checkpoint": {
"type": "object",
"title": "Parent Checkpoint"
},
"interrupts": {
"type": "array",
"items": {
"$ref": "#/components/schemas/Interrupt"
}
}
},
"type": "object",
@@ -5076,7 +4527,7 @@
"type": "integer",
"title": "Limit",
"description": "The maximum number of states to return.",
"default": 1,
"default": 10,
"maximum": 1000,
"minimum": 1
},
@@ -5503,24 +4954,6 @@
}
}
}
},
"Interrupt": {
"type": "object",
"properties": {
"id": {
"type": [
"string",
"null"
]
},
"value": {
"type": "object"
}
},
"title": "Interrupt",
"required": [
"value"
]
}
}
}
+1 -2
View File
@@ -315,8 +315,7 @@ In our example, the output of `get_state_history` will look like this:
tasks=(),
),
StateSnapshot(
values={'foo': 'a', 'bar': ['a']},
next=('node_b',),
values={'foo': 'a', 'bar': ['a']}, next=('node_b',),
config={'configurable': {'thread_id': '1', 'checkpoint_ns': '', 'checkpoint_id': '1ef663ba-28f9-6ec4-8001-31981c2c39f8'}},
metadata={'source': 'loop', 'writes': {'node_a': {'foo': 'a', 'bar': ['a']}}, 'step': 1},
created_at='2024-08-29T19:19:38.819946+00:00',
+1 -1
View File
@@ -12,7 +12,7 @@ There are three different plans for using it.
- **Developer**: All [LangSmith](https://smith.langchain.com/) users have access to this plan. You can sign up for this plan simply by creating a LangSmith account. This gives you access to the [local deployment](./deployment_options.md#free-deployment) option.
- **Plus**: All [LangSmith](https://smith.langchain.com/) users with a [Plus account](https://docs.smith.langchain.com/administration/pricing) have access to this plan. You can sign up for this plan simply by upgrading your LangSmith account to the Plus plan type. This gives you access to the [Cloud](./deployment_options.md#cloud-saas) deployment option.
- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by [contacting our sales team](https://www.langchain.com/contact-sales). This gives you access to all [deployment options](./deployment_options.md).
- **Enterprise**: This is separate from LangSmith plans. You can sign up for this plan by contacting sales@langchain.dev. This gives you access to all [deployment options](./deployment_options.md).
## Plan Details
+1 -1
View File
@@ -360,5 +360,5 @@ j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src=
{% endblock %}
{% block announce %}
Our new LangChain Academy Course Deep Research with LangGraph is now live! <a href="https://academy.langchain.com/courses/deep-research-with-langgraph/?utm_medium=internal&utm_source=docs&utm_campaign=q3-2025_deep-research-course_co" target="_blank">Enroll for free</a>.
<strong>LangGraph Platform docs have moved!</strong> Find the LangGraph Platform docs at the new <a href="https://docs.langchain.com/langgraph-platform" target="_blank">LangChain Docs</a> site.
{% endblock %}
+6 -2
View File
@@ -161,7 +161,9 @@ class TestRedisCache:
async def test_async_operations(self):
"""Test async set and get operations with sync Redis client."""
# Create sync Redis client and cache (like main integration tests)
client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
client = redis.Redis(
host="localhost", port=6379, db=1, decode_responses=False
)
try:
client.ping()
except Exception:
@@ -187,7 +189,9 @@ class TestRedisCache:
async def test_async_clear(self):
"""Test async clear operations with sync Redis client."""
# Create sync Redis client and cache (like main integration tests)
client = redis.Redis(host="localhost", port=6379, db=1, decode_responses=False)
client = redis.Redis(
host="localhost", port=6379, db=1, decode_responses=False
)
try:
client.ping()
except Exception:
+1 -2
View File
@@ -4,9 +4,8 @@
# TESTING AND COVERAGE
######################
TEST?= "tests/unit_tests"
test:
uv run pytest $(TEST)
uv run pytest tests/unit_tests
test-integration:
uv run pytest tests/integration_tests
+7
View File
@@ -1,3 +1,10 @@
OPENAI_API_KEY=placeholder
ANTHROPIC_API_KEY=placeholder
TAVILY_API_KEY=placeholder
LANGCHAIN_TRACING_V2=false
LANGCHAIN_ENDPOINT=placeholder
LANGCHAIN_API_KEY=placeholder
LANGCHAIN_PROJECT=placeholder
LANGGRAPH_AUTH_TYPE=noop
LANGSMITH_AUTH_ENDPOINT=placeholder
LANGSMITH_TENANT_ID=placeholder
+8 -1
View File
@@ -163,7 +163,14 @@ def generate_schema():
# Add enum constraint for python_version
if "python_version" in python_schema["properties"]:
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12", "3.13"]
python_schema["properties"]["python_version"]["enum"] = ["3.11", "3.12"]
# Add enum constraint for image_distro
if "image_distro" in python_schema["properties"]:
python_schema["properties"]["image_distro"]["anyOf"] = [
{"type": "string", "enum": ["debian", "wolfi"]},
{"type": "null"},
]
# Create Node.js schema with node_version
node_schema = {
-1
View File
@@ -1 +0,0 @@
__version__ = "0.3.7"
+9 -39
View File
@@ -17,9 +17,6 @@ DEFAULT_PYTHON_VERSION = "3.11"
DEFAULT_IMAGE_DISTRO = "debian"
Distros = Literal["debian", "wolfi", "bullseye", "bookworm"]
class TTLConfig(TypedDict, total=False):
"""Configuration for TTL (time-to-live) behavior in the store."""
@@ -372,13 +369,6 @@ class Config(TypedDict, total=False):
Must be >= 20 if provided.
"""
api_version: Optional[str]
"""Optional. Which semantic version of the LangGraph API server to use.
Defaults to latest. Check the
[changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
for more information."""
_INTERNAL_docker_tag: Optional[str]
"""Optional. Internal use only.
"""
@@ -388,11 +378,10 @@ class Config(TypedDict, total=False):
Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
image_distro: Optional[Distros]
image_distro: Optional[str]
"""Optional. Linux distribution for the base image.
Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
If omitted, defaults to 'debian' ('latest').
Must be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.
"""
pip_config_file: Optional[str]
@@ -598,28 +587,13 @@ def validate_config(config: Config) -> Config:
)
image_distro = config.get("image_distro", DEFAULT_IMAGE_DISTRO)
internal_docker_tag = config.get("_INTERNAL_docker_tag")
api_version = config.get("api_version")
if internal_docker_tag:
if api_version:
raise click.UsageError(
"Cannot specify both _INTERNAL_docker_tag and api_version."
)
if api_version:
try:
parts = tuple(map(int, api_version.split("-")[0].split(".")))
if len(parts) > 3:
raise ValueError(
"Version must be major or major.minor or major.minor.patch."
)
except TypeError:
raise click.UsageError(f"Invalid version format: {api_version}") from None
config = {
"node_version": node_version,
"python_version": python_version,
"pip_config_file": config.get("pip_config_file"),
"pip_installer": config.get("pip_installer", "auto"),
"_INTERNAL_docker_tag": config.get("_INTERNAL_docker_tag"),
"base_image": config.get("base_image"),
"image_distro": image_distro,
"dependencies": config.get("dependencies", []),
@@ -634,10 +608,6 @@ def validate_config(config: Config) -> Config:
"ui_config": config.get("ui_config"),
"keep_pkg_tools": config.get("keep_pkg_tools"),
}
if internal_docker_tag:
config["_INTERNAL_docker_tag"] = internal_docker_tag
if api_version:
config["api_version"] = api_version
if config.get("node_version"):
node_version = config["node_version"]
@@ -674,17 +644,17 @@ def validate_config(config: Config) -> Config:
"Add at least one dependency to 'dependencies' list."
)
if not config.get("graphs"):
if not config["graphs"]:
raise click.UsageError(
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
)
# Validate image_distro config
if image_distro := config.get("image_distro"):
if image_distro not in Distros.__args__:
if image_distro not in ["debian", "wolfi"]:
raise click.UsageError(
f"Invalid image_distro: '{image_distro}'. "
"Must be one of 'debian', 'bullseye', or 'bookworm'."
"Must be either 'debian' or 'wolfi'."
)
if pip_installer := config.get("pip_installer"):
@@ -1495,7 +1465,6 @@ def docker_tag(
base_image: Optional[str] = None,
api_version: Optional[str] = None,
) -> str:
api_version = api_version or config.get("api_version")
base_image = base_image or default_base_image(config)
image_distro = config.get("image_distro")
@@ -1504,6 +1473,9 @@ def docker_tag(
if config.get("_INTERNAL_docker_tag"):
return f"{base_image}:{config['_INTERNAL_docker_tag']}"
if "/langgraph-server" in base_image:
return f"{base_image}-py{config['python_version']}"
# Build the standard tag format
language, version = None, None
if config.get("node_version") and not config.get("python_version"):
@@ -1516,8 +1488,6 @@ def docker_tag(
# Prepend API version if provided
if api_version:
full_tag = f"{api_version}-{language}{version_distro_tag}"
elif "/langgraph-server" in base_image and version_distro_tag not in base_image:
return f"{base_image}-{language}{version_distro_tag}"
else:
full_tag = version_distro_tag
+4 -5
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-cli"
dynamic = ["version"]
version = "0.3.6"
description = "CLI for interacting with LangGraph API"
authors = []
requires-python = ">=3.9"
@@ -15,12 +15,11 @@ dependencies = [
"click>=8.1.7",
"langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
]
[tool.hatch.version]
path = "langgraph_cli/__init__.py"
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.2.120,<0.3.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.6.8 ; python_version >= '3.11'",
"langgraph-api>=0.2.67,<0.3.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.6.0 ; python_version >= '3.11'",
"python-dotenv>=0.8.0",
]
+4 -28
View File
@@ -15,8 +15,7 @@
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
"enum": [
"3.11",
"3.12",
"3.13"
"3.12"
]
},
"pip_config_file": {
@@ -41,17 +40,6 @@
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
@@ -134,9 +122,8 @@
"image_distro": {
"anyOf": [
{
"type": "string",
"enum": [
"bookworm",
"bullseye",
"debian",
"wolfi"
]
@@ -145,7 +132,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
},
"keep_pkg_tools": {
"anyOf": [
@@ -234,17 +221,6 @@
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
@@ -337,7 +313,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
},
"keep_pkg_tools": {
"anyOf": [
+4 -28
View File
@@ -15,8 +15,7 @@
"description": "Optional. Python version in 'major.minor' format (e.g. '3.11').\nMust be at least 3.11 or greater for this deployment to function properly.\n",
"enum": [
"3.11",
"3.12",
"3.13"
"3.12"
]
},
"pip_config_file": {
@@ -41,17 +40,6 @@
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
@@ -134,9 +122,8 @@
"image_distro": {
"anyOf": [
{
"type": "string",
"enum": [
"bookworm",
"bullseye",
"debian",
"wolfi"
]
@@ -145,7 +132,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
},
"keep_pkg_tools": {
"anyOf": [
@@ -234,17 +221,6 @@
],
"description": "Optional. Internal use only.\n"
},
"api_version": {
"anyOf": [
{
"type": "string"
},
{
"type": "null"
}
],
"description": "Optional. Which semantic version of the LangGraph API server to use.\n\nDefaults to latest. Check the\nfor more information.\n"
},
"auth": {
"anyOf": [
{
@@ -337,7 +313,7 @@
"type": "null"
}
],
"description": "Optional. Linux distribution for the base image.\n\nMust be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.\nIf omitted, defaults to 'debian' ('latest').\n"
"description": "Optional. Linux distribution for the base image.\n\nMust be either 'debian' or 'wolfi'. If omitted, defaults to 'debian'.\n"
},
"keep_pkg_tools": {
"anyOf": [
+1 -3
View File
@@ -381,9 +381,7 @@ def test_dockerfile_command_with_base_image() -> None:
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile), (
"\n".join(dockerfile.splitlines()[:3])
)
assert re.match("FROM langchain/langgraph-server:0.2-py3.*", dockerfile)
def test_dockerfile_command_with_docker_compose() -> None:
+20 -33
View File
@@ -38,6 +38,7 @@ def test_validate_config():
}
actual_config = validate_config(expected_config)
expected_config = {
"_INTERNAL_docker_tag": None,
"base_image": None,
"python_version": "3.11",
"node_version": None,
@@ -60,6 +61,7 @@ def test_validate_config():
# full config
env = ".env"
expected_config = {
"_INTERNAL_docker_tag": None,
"base_image": None,
"python_version": "3.12",
"node_version": None,
@@ -188,6 +190,7 @@ def test_validate_config_image_distro():
}
)
assert "Invalid image_distro: 'ubuntu'" in str(exc_info.value)
assert "Must be either 'debian' or 'wolfi'" in str(exc_info.value)
with pytest.raises(click.UsageError) as exc_info:
validate_config(
@@ -1336,22 +1339,19 @@ def test_docker_tag_different_node_versions_with_distro():
assert tag == expected_tag, f"Failed for Node.js {node_version}"
@pytest.mark.parametrize("in_config", [False, True])
def test_docker_tag_with_api_version(in_config: bool):
def test_docker_tag_with_api_version():
"""Test docker_tag function with api_version parameter."""
# Test 1: Python config with api_version and default distro
version = "0.2.74"
config = validate_config(
{
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.11"
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraph-api:0.2.74-py3.11"
# Test 2: Python config with api_version and wolfi distro
config = validate_config(
@@ -1360,22 +1360,20 @@ def test_docker_tag_with_api_version(in_config: bool):
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"image_distro": "wolfi",
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.12-wolfi"
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraph-api:0.2.74-py3.12-wolfi"
# Test 3: Node.js config with api_version and default distro
config = validate_config(
{
"node_version": "20",
"graphs": {"agent": "./agent.js:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraphjs-api:{version}-node20"
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraphjs-api:0.2.74-node20"
# Test 4: Node.js config with api_version and wolfi distro
config = validate_config(
@@ -1383,11 +1381,10 @@ def test_docker_tag_with_api_version(in_config: bool):
"node_version": "20",
"graphs": {"agent": "./agent.js:graph"},
"image_distro": "wolfi",
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraphjs-api:{version}-node20-wolfi"
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraphjs-api:0.2.74-node20-wolfi"
# Test 5: Custom base image with api_version
config = validate_config(
@@ -1396,15 +1393,10 @@ def test_docker_tag_with_api_version(in_config: bool):
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"base_image": "my-registry/custom-image",
"api_version": version if in_config else None,
}
)
tag = docker_tag(
config,
base_image="my-registry/custom-image",
api_version=version if not in_config else None,
)
assert tag == f"my-registry/custom-image:{version}-py3.11"
tag = docker_tag(config, base_image="my-registry/custom-image", api_version="1.0.0")
assert tag == "my-registry/custom-image:1.0.0-py3.11"
# Test 6: api_version with different Python versions
for python_version in ["3.11", "3.12", "3.13"]:
@@ -1413,11 +1405,10 @@ def test_docker_tag_with_api_version(in_config: bool):
"python_version": python_version,
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py{python_version}"
tag = docker_tag(config, api_version="0.2.74")
assert tag == f"langchain/langgraph-api:0.2.74-py{python_version}"
# Test 7: Without api_version should work as before
config = validate_config(
@@ -1437,11 +1428,10 @@ def test_docker_tag_with_api_version(in_config: bool):
"node_version": "20",
"dependencies": ["."],
"graphs": {"python": "./agent.py:graph", "js": "./agent.js:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(config, api_version=version if not in_config else None)
assert tag == f"langchain/langgraph-api:{version}-py3.11"
tag = docker_tag(config, api_version="0.2.74")
assert tag == "langchain/langgraph-api:0.2.74-py3.11"
# Test 9: api_version with _INTERNAL_docker_tag should ignore api_version
config = validate_config(
@@ -1461,15 +1451,12 @@ def test_docker_tag_with_api_version(in_config: bool):
"python_version": "3.11",
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"api_version": version if in_config else None,
}
)
tag = docker_tag(
config,
base_image="langchain/langgraph-server",
api_version=version if not in_config else None,
config, base_image="langchain/langgraph-server:0.2", api_version="0.2.74"
)
assert tag == f"langchain/langgraph-server:{version}-py3.11"
assert tag == "langchain/langgraph-server:0.2-py3.11"
def test_config_to_docker_with_api_version():
+18 -17
View File
@@ -471,7 +471,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "0.6.6"
version = "0.5.3"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core", marker = "python_full_version >= '3.11'" },
@@ -481,14 +481,14 @@ dependencies = [
{ name = "pydantic", marker = "python_full_version >= '3.11'" },
{ name = "xxhash", marker = "python_full_version >= '3.11'" },
]
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[[package]]
name = "langgraph-api"
version = "0.2.137"
version = "0.2.96"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "cloudpickle", marker = "python_full_version >= '3.11'" },
@@ -511,9 +511,9 @@ dependencies = [
{ name = "uvicorn", marker = "python_full_version >= '3.11'" },
{ name = "watchfiles", marker = "python_full_version >= '3.11'" },
]
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{ url = "https://files.pythonhosted.org/packages/d9/7f/dfae9bc0f85a98bbd96d00df2a39e8b8386977e8ce4a6199d1065bb3709d/langgraph_api-0.2.96-py3-none-any.whl", hash = "sha256:304d424d7a85735489fab1764b439e8219739619ad708b9465b8b8f421f17b37", size = 194393, upload-time = "2025-07-17T17:57:45.89Z" },
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[[package]]
@@ -531,6 +531,7 @@ wheels = [
[[package]]
name = "langgraph-cli"
version = "0.3.6"
source = { editable = "." }
dependencies = [
{ name = "click", version = "8.1.8", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
@@ -560,8 +561,8 @@ dev = [
[package.metadata]
requires-dist = [
{ name = "click", specifier = ">=8.1.7" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.2.120,<0.3.0" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.6.8" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.2.67,<0.3.0" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.6.0" },
{ name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
{ name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
]
@@ -581,20 +582,20 @@ dev = [
[[package]]
name = "langgraph-prebuilt"
version = "0.6.4"
version = "0.5.2"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "langchain-core", marker = "python_full_version >= '3.11'" },
{ name = "langgraph-checkpoint", marker = "python_full_version >= '3.11'" },
]
sdist = { url = "https://files.pythonhosted.org/packages/d6/21/9b198d11732101ee8cdf30af98d0b4f11254c768de15173e57f5260fd14b/langgraph_prebuilt-0.6.4.tar.gz", hash = "sha256:e9e53b906ee5df46541d1dc5303239e815d3ec551e52bb03dd6463acc79ec28f", size = 125695, upload-time = "2025-08-07T18:17:57.333Z" }
sdist = { url = "https://files.pythonhosted.org/packages/bb/11/98134c47832fbde0caf0e06f1a104577da9215c358d7854093c1d835b272/langgraph_prebuilt-0.5.2.tar.gz", hash = "sha256:2c900a5be0d6a93ea2521e0d931697cad2b646f1fcda7aa5c39d8d7539772465", size = 117808, upload-time = "2025-06-30T19:52:48.307Z" }
wheels = [
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{ url = "https://files.pythonhosted.org/packages/c3/64/6bc45ab9e0e1112698ebff579fe21f5606ea65cd08266995a357e312a4d2/langgraph_prebuilt-0.5.2-py3-none-any.whl", hash = "sha256:1f4cd55deca49dffc3e5127eec12fcd244fc381321002f728afa88642d5ec59d", size = 23776, upload-time = "2025-06-30T19:52:47.494Z" },
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[[package]]
name = "langgraph-runtime-inmem"
version = "0.8.0"
version = "0.6.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "blockbuster", marker = "python_full_version >= '3.11'" },
@@ -604,22 +605,22 @@ dependencies = [
{ name = "starlette", marker = "python_full_version >= '3.11'" },
{ name = "structlog", marker = "python_full_version >= '3.11'" },
]
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version = "0.2.2"
version = "0.1.73"
source = { registry = "https://pypi.org/simple" }
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{ name = "httpx", marker = "python_full_version >= '3.11'" },
{ name = "orjson", marker = "python_full_version >= '3.11'" },
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[[package]]
+14 -76
View File
@@ -25,17 +25,9 @@ from langgraph_sdk.client import (
get_client,
get_sync_client,
)
from langgraph_sdk.schema import (
Checkpoint,
QueryParamTypes,
ThreadState,
)
from langgraph_sdk.schema import (
Command as CommandSDK,
)
from langgraph_sdk.schema import (
StreamMode as StreamModeSDK,
)
from langgraph_sdk.schema import Checkpoint, ThreadState
from langgraph_sdk.schema import Command as CommandSDK
from langgraph_sdk.schema import StreamMode as StreamModeSDK
from typing_extensions import Self
from langgraph._internal._config import merge_configs
@@ -216,8 +208,6 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig | None = None,
*,
xray: int | bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> DrawableGraph:
"""Get graph by graph name.
@@ -236,8 +226,6 @@ class RemoteGraph(PregelProtocol):
graph = sync_client.assistants.get_graph(
assistant_id=self.assistant_id,
xray=xray,
headers=headers,
params=params,
)
return DrawableGraph(
nodes=self._get_drawable_nodes(graph),
@@ -249,8 +237,6 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig | None = None,
*,
xray: int | bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> DrawableGraph:
"""Get graph by graph name.
@@ -269,8 +255,6 @@ class RemoteGraph(PregelProtocol):
graph = await client.assistants.get_graph(
assistant_id=self.assistant_id,
xray=xray,
headers=headers,
params=params,
)
return DrawableGraph(
nodes=self._get_drawable_nodes(graph),
@@ -392,12 +376,7 @@ class RemoteGraph(PregelProtocol):
return sanitized
def get_state(
self,
config: RunnableConfig,
*,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
self, config: RunnableConfig, *, subgraphs: bool = False
) -> StateSnapshot:
"""Get the state of a thread.
@@ -409,8 +388,6 @@ class RemoteGraph(PregelProtocol):
config: A `RunnableConfig` that includes `thread_id` in the
`configurable` field.
subgraphs: Include subgraphs in the state.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
The latest state of the thread.
@@ -422,18 +399,11 @@ class RemoteGraph(PregelProtocol):
thread_id=merged_config["configurable"]["thread_id"],
checkpoint=self._get_checkpoint(merged_config),
subgraphs=subgraphs,
headers=headers,
params=params,
)
return self._create_state_snapshot(state)
async def aget_state(
self,
config: RunnableConfig,
*,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
self, config: RunnableConfig, *, subgraphs: bool = False
) -> StateSnapshot:
"""Get the state of a thread.
@@ -445,8 +415,6 @@ class RemoteGraph(PregelProtocol):
config: A `RunnableConfig` that includes `thread_id` in the
`configurable` field.
subgraphs: Include subgraphs in the state.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
The latest state of the thread.
@@ -458,8 +426,6 @@ class RemoteGraph(PregelProtocol):
thread_id=merged_config["configurable"]["thread_id"],
checkpoint=self._get_checkpoint(merged_config),
subgraphs=subgraphs,
headers=headers,
params=params,
)
return self._create_state_snapshot(state)
@@ -470,8 +436,6 @@ class RemoteGraph(PregelProtocol):
filter: dict[str, Any] | None = None,
before: RunnableConfig | None = None,
limit: int | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> Iterator[StateSnapshot]:
"""Get the state history of a thread.
@@ -496,8 +460,6 @@ class RemoteGraph(PregelProtocol):
before=self._get_checkpoint(before),
metadata=filter,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
for state in states:
yield self._create_state_snapshot(state)
@@ -509,8 +471,6 @@ class RemoteGraph(PregelProtocol):
filter: dict[str, Any] | None = None,
before: RunnableConfig | None = None,
limit: int | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> AsyncIterator[StateSnapshot]:
"""Get the state history of a thread.
@@ -522,8 +482,6 @@ class RemoteGraph(PregelProtocol):
filter: Metadata to filter on.
before: A `RunnableConfig` that includes checkpoint metadata.
limit: Max number of states to return.
headers: Optional custom headers to include with the request.
params: Optional query parameters to include with the request.
Returns:
States of the thread.
@@ -537,8 +495,6 @@ class RemoteGraph(PregelProtocol):
before=self._get_checkpoint(before),
metadata=filter,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
for state in states:
yield self._create_state_snapshot(state)
@@ -562,9 +518,6 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig,
values: dict[str, Any] | Any | None,
as_node: str | None = None,
*,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> RunnableConfig:
"""Update the state of a thread.
@@ -587,8 +540,6 @@ class RemoteGraph(PregelProtocol):
values=values,
as_node=as_node,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
return self._get_config(response["checkpoint"])
@@ -597,9 +548,6 @@ class RemoteGraph(PregelProtocol):
config: RunnableConfig,
values: dict[str, Any] | Any | None,
as_node: str | None = None,
*,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
) -> RunnableConfig:
"""Update the state of a thread.
@@ -622,8 +570,6 @@ class RemoteGraph(PregelProtocol):
values=values,
as_node=as_node,
checkpoint=self._get_checkpoint(merged_config),
headers=headers,
params=params,
)
return self._get_config(response["checkpoint"])
@@ -688,7 +634,6 @@ class RemoteGraph(PregelProtocol):
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> Iterator[dict[str, Any] | Any]:
"""Create a run and stream the results.
@@ -733,10 +678,9 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
stream_subgraphs=subgraphs or stream is not None,
if_not_exists="create",
headers=(
_merge_tracing_headers(headers) if self.distributed_tracing else headers
),
params=params,
headers=_merge_tracing_headers(headers)
if self.distributed_tracing
else headers,
**kwargs,
):
# split mode and ns
@@ -797,7 +741,6 @@ class RemoteGraph(PregelProtocol):
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> AsyncIterator[dict[str, Any] | Any]:
"""Create a run and stream the results.
@@ -842,10 +785,9 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
stream_subgraphs=subgraphs or stream is not None,
if_not_exists="create",
headers=(
_merge_tracing_headers(headers) if self.distributed_tracing else headers
),
params=params,
headers=_merge_tracing_headers(headers)
if self.distributed_tracing
else headers,
**kwargs,
):
# split mode and ns
@@ -920,7 +862,6 @@ class RemoteGraph(PregelProtocol):
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Create a run, wait until it finishes and return the final state.
@@ -943,7 +884,6 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
headers=headers,
stream_mode="values",
params=params,
**kwargs,
):
pass
@@ -960,7 +900,6 @@ class RemoteGraph(PregelProtocol):
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Create a run, wait until it finishes and return the final state.
@@ -983,7 +922,6 @@ class RemoteGraph(PregelProtocol):
interrupt_after=interrupt_after,
headers=headers,
stream_mode="values",
params=params,
**kwargs,
):
pass
@@ -996,11 +934,11 @@ class RemoteGraph(PregelProtocol):
def _merge_tracing_headers(headers: dict[str, str] | None) -> dict[str, str] | None:
if rt := ls.get_current_run_tree():
tracing_headers = rt.to_headers()
baggage = tracing_headers.pop("baggage")
if headers:
if "baggage" in headers:
tracing_headers["baggage"] = (
f"{headers['baggage']},{tracing_headers['baggage']}"
)
baggage = headers["baggage"] + "," + baggage
tracing_headers["baggage"] = baggage
headers.update(tracing_headers)
else:
headers = tracing_headers
-1
View File
@@ -507,7 +507,6 @@ def interrupt(value: Any) -> Any:
# find previous resume values
if scratchpad.resume:
if idx < len(scratchpad.resume):
conf[CONFIG_KEY_SEND]([(RESUME, scratchpad.resume)])
return scratchpad.resume[idx]
# find current resume value
v = scratchpad.get_null_resume(True)
+2 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "0.6.6"
version = "0.6.4"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.9"
@@ -14,7 +14,7 @@ license-files = ['LICENSE']
dependencies = [
"langchain-core>=0.1",
"langgraph-checkpoint>=2.1.0,<3.0.0",
"langgraph-sdk>=0.2.2,<0.3.0",
"langgraph-sdk>=0.2.0,<0.3.0",
"langgraph-prebuilt>=0.6.0,<0.7.0",
"xxhash>=3.5.0",
"pydantic>=2.7.4",
+1 -1
View File
@@ -69,7 +69,7 @@ def cache(request: pytest.FixtureRequest) -> Iterator[BaseCache]:
elif request.param == "redis":
# Get worker ID for parallel test isolation
worker_id = getattr(request.config, "workerinput", {}).get("workerid", "master")
redis_client = redis.Redis(
host="localhost", port=6379, db=0, decode_responses=False
)
+6 -23
View File
@@ -4805,10 +4805,7 @@ def test_interrupt_subgraph(sync_checkpointer: BaseCheckpointSaver):
assert graph.invoke(Command(resume="bar"), thread1)
@pytest.mark.parametrize("resume_style", ["null", "map"])
def test_interrupt_multiple(
sync_checkpointer: BaseCheckpointSaver, resume_style: Literal["null", "map"]
):
def test_interrupt_multiple(sync_checkpointer: BaseCheckpointSaver):
class State(TypedDict):
my_key: Annotated[str, operator.add]
@@ -4824,8 +4821,7 @@ def test_interrupt_multiple(
graph = builder.compile(checkpointer=sync_checkpointer)
thread1 = {"configurable": {"thread_id": "1"}}
result = [e for e in graph.stream({"my_key": "DE", "market": "DE"}, thread1)]
assert result == [
assert [e for e in graph.stream({"my_key": "DE", "market": "DE"}, thread1)] == [
{
"__interrupt__": (
Interrupt(
@@ -4836,19 +4832,12 @@ def test_interrupt_multiple(
}
]
result = [
assert [
event
for event in graph.stream(
Command(
resume="answer 1"
if resume_style == "null"
else {result[0]["__interrupt__"][0].id: "answer 1"},
update={"my_key": " foofoo "},
),
thread1,
Command(resume="answer 1", update={"my_key": " foofoo "}), thread1
)
]
assert result == [
] == [
{
"__interrupt__": (
Interrupt(
@@ -4862,13 +4851,7 @@ def test_interrupt_multiple(
assert [
event
for event in graph.stream(
Command(
resume="answer 2"
if resume_style == "null"
else {result[0]["__interrupt__"][0].id: "answer 2"}
),
thread1,
stream_mode="values",
Command(resume="answer 2"), thread1, stream_mode="values"
)
] == [
{"my_key": "DE foofoo "},
+8 -13
View File
@@ -1,6 +1,6 @@
import re
import sys
from typing import Annotated, Optional, Union
from typing import Annotated, Union
from unittest.mock import AsyncMock, MagicMock
import langsmith as ls
@@ -1183,10 +1183,7 @@ async def test_remote_graph_stream_messages_tuple(
@pytest.mark.anyio
@pytest.mark.parametrize("distributed_tracing", [False, True])
@pytest.mark.parametrize("stream", [False, True])
@pytest.mark.parametrize("headers", [None, {"foo": "bar"}])
async def test_include_headers(
distributed_tracing: bool, stream: bool, headers: Optional[dict[str, str]]
):
async def test_include_headers(distributed_tracing: bool, stream: bool):
mock_async_client = MagicMock()
async_iter = MagicMock()
return_value = [
@@ -1216,7 +1213,7 @@ async def test_include_headers(
async for _ in remote_pregel.astream(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers=headers,
headers={"foo": "bar"},
):
pass
@@ -1224,14 +1221,12 @@ async def test_include_headers(
await remote_pregel.ainvoke(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers=headers,
headers={"foo": "bar"},
)
expected = headers.copy() if headers else None
expected = {"foo": "bar"}
if distributed_tracing:
if expected is None:
expected = {}
expected["langsmith-trace"] = AnyStr()
expected["baggage"] = AnyStr("langsmith-metadata=")
expected["baggage"] = AnyStr()
assert astream_mock.call_args.kwargs["headers"] == expected
stream_mock.assert_not_called()
@@ -1242,7 +1237,7 @@ async def test_include_headers(
for _ in remote_pregel.stream(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers=headers,
headers={"foo": "bar"},
):
pass
@@ -1250,6 +1245,6 @@ async def test_include_headers(
remote_pregel.invoke(
{"input": {"messages": [{"type": "human", "content": "hello"}]}},
config,
headers=headers,
headers={"foo": "bar"},
)
assert stream_mock.call_args.kwargs["headers"] == expected
+684 -828
View File
File diff suppressed because it is too large Load Diff
+3
View File
@@ -30,6 +30,9 @@ test_watch:
make stop-services; \
exit $$EXIT_CODE
snapshot_upate:
LANGGRAPH_TEST_FAST=1 uv run pytest --snapshot-update $(TEST)
######################
# LINTING AND FORMATTING
######################
File diff suppressed because it is too large Load Diff
+49 -8
View File
@@ -340,14 +340,22 @@ class ToolNode(RunnableCallable):
self.tools_by_name: dict[str, BaseTool] = {}
self.tool_to_state_args: dict[str, dict[str, Optional[str]]] = {}
self.tool_to_store_arg: dict[str, Optional[str]] = {}
self.structured_output_tools: list[str] = []
self.handle_tool_errors = handle_tool_errors
self.messages_key = messages_key
for tool_ in tools:
if not isinstance(tool_, BaseTool):
tool_ = create_tool(tool_)
self.tools_by_name[tool_.name] = tool_
self.tool_to_state_args[tool_.name] = _get_state_args(tool_)
self.tool_to_store_arg[tool_.name] = _get_store_arg(tool_)
if inspect.isclass(tool_) and issubclass(tool_, BaseModel):
# Handle Pydantic model classes as structured output tools
self.tools_by_name[tool_.__name__] = tool_
self.tool_to_state_args[tool_.__name__] = {}
self.tool_to_store_arg[tool_.__name__] = None
self.structured_output_tools.append(tool_.__name__)
else:
if not isinstance(tool_, BaseTool):
tool_ = create_tool(tool_)
self.tools_by_name[tool_.name] = tool_
self.tool_to_state_args[tool_.name] = _get_state_args(tool_)
self.tool_to_store_arg[tool_.name] = _get_store_arg(tool_)
def _func(
self,
@@ -390,7 +398,7 @@ class ToolNode(RunnableCallable):
def _combine_tool_outputs(
self,
outputs: list[ToolMessage],
outputs: list[Union[ToolMessage, Command]],
input_type: Literal["list", "dict", "tool_calls"],
) -> list[Union[Command, list[ToolMessage], dict[str, list[ToolMessage]]]]:
# preserve existing behavior for non-command tool outputs for backwards
@@ -437,10 +445,27 @@ class ToolNode(RunnableCallable):
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
config: RunnableConfig,
) -> ToolMessage:
) -> Union[ToolMessage, Command]:
"""Run a single tool call synchronously."""
if invalid_tool_message := self._validate_tool_call(call):
return invalid_tool_message
# Handle structured output tools
if call["name"] in self.structured_output_tools:
response_schema = self.tools_by_name[call["name"]]
return Command(
update={
"messages": [
ToolMessage(
content=msg_content_output(call["args"]),
name=call["name"],
tool_call_id=call["id"],
)
],
"structured_response": response_schema(**call["args"]),
}
)
try:
call_args = {**call, **{"type": "tool_call"}}
response = self.tools_by_name[call["name"]].invoke(call_args, config)
@@ -493,11 +518,27 @@ class ToolNode(RunnableCallable):
call: ToolCall,
input_type: Literal["list", "dict", "tool_calls"],
config: RunnableConfig,
) -> ToolMessage:
) -> Union[ToolMessage, Command]:
"""Run a single tool call asynchronously."""
if invalid_tool_message := self._validate_tool_call(call):
return invalid_tool_message
# Handle structured output tools
if call["name"] in self.structured_output_tools:
response_schema = self.tools_by_name[call["name"]]
return Command(
update={
"messages": [
ToolMessage(
content=msg_content_output(call["args"]),
name=call["name"],
tool_call_id=call["id"],
)
],
"structured_response": response_schema(**call["args"]),
}
)
try:
call_args = {**call, **{"type": "tool_call"}}
response = await self.tools_by_name[call["name"]].ainvoke(call_args, config)
@@ -171,3 +171,191 @@
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-no_post_hook-no_pre_hook-no_tools]
'''
graph TD;
__start__ --> agent;
agent --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-no_post_hook-no_pre_hook-two_tools]
'''
graph TD;
__start__ --> agent;
agent -.-> __end__;
agent -.-> tool;
agent -.-> tool2;
tool --> agent;
tool2 --> agent;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-no_post_hook-with_pre_hook-no_tools]
'''
graph TD;
__start__ --> pre_model_hook;
pre_model_hook --> agent;
agent --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-no_post_hook-with_pre_hook-two_tools]
'''
graph TD;
__start__ --> pre_model_hook;
agent -.-> __end__;
agent -.-> tool;
agent -.-> tool2;
pre_model_hook --> agent;
tool --> pre_model_hook;
tool2 --> pre_model_hook;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-with_post_hook-no_pre_hook-no_tools]
'''
graph TD;
__start__ --> agent;
agent --> post_model_hook;
post_model_hook --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-with_post_hook-no_pre_hook-two_tools]
'''
graph TD;
__start__ --> agent;
agent --> post_model_hook;
post_model_hook -.-> __end__;
post_model_hook -.-> agent;
post_model_hook -.-> tool;
post_model_hook -.-> tool2;
tool --> agent;
tool2 --> agent;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-with_post_hook-with_pre_hook-no_tools]
'''
graph TD;
__start__ --> pre_model_hook;
agent --> post_model_hook;
pre_model_hook --> agent;
post_model_hook --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[no_response_format-with_post_hook-with_pre_hook-two_tools]
'''
graph TD;
__start__ --> pre_model_hook;
agent --> post_model_hook;
post_model_hook -.-> __end__;
post_model_hook -.-> pre_model_hook;
post_model_hook -.-> tool;
post_model_hook -.-> tool2;
pre_model_hook --> agent;
tool --> pre_model_hook;
tool2 --> pre_model_hook;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-no_post_hook-no_pre_hook-no_tools]
'''
graph TD;
__start__ --> agent;
agent --> generate_structured_response;
generate_structured_response --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-no_post_hook-no_pre_hook-two_tools]
'''
graph TD;
__start__ --> agent;
agent -.-> generate_structured_response;
agent -.-> tool;
agent -.-> tool2;
tool --> agent;
tool2 --> agent;
generate_structured_response --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-no_post_hook-with_pre_hook-no_tools]
'''
graph TD;
__start__ --> pre_model_hook;
agent --> generate_structured_response;
pre_model_hook --> agent;
generate_structured_response --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-no_post_hook-with_pre_hook-two_tools]
'''
graph TD;
__start__ --> pre_model_hook;
agent -.-> generate_structured_response;
agent -.-> tool;
agent -.-> tool2;
pre_model_hook --> agent;
tool --> pre_model_hook;
tool2 --> pre_model_hook;
generate_structured_response --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-with_post_hook-no_pre_hook-no_tools]
'''
graph TD;
__start__ --> agent;
agent --> post_model_hook;
post_model_hook --> generate_structured_response;
generate_structured_response --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-with_post_hook-no_pre_hook-two_tools]
'''
graph TD;
__start__ --> agent;
agent --> post_model_hook;
post_model_hook -.-> agent;
post_model_hook -.-> generate_structured_response;
post_model_hook -.-> tool;
post_model_hook -.-> tool2;
tool --> agent;
tool2 --> agent;
generate_structured_response --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-with_post_hook-with_pre_hook-no_tools]
'''
graph TD;
__start__ --> pre_model_hook;
agent --> post_model_hook;
post_model_hook --> generate_structured_response;
pre_model_hook --> agent;
generate_structured_response --> __end__;
'''
# ---
# name: test_react_agent_graph_structure_with_individual_nodes[with_response_format-with_post_hook-with_pre_hook-two_tools]
'''
graph TD;
__start__ --> pre_model_hook;
agent --> post_model_hook;
post_model_hook -.-> generate_structured_response;
post_model_hook -.-> pre_model_hook;
post_model_hook -.-> tool;
post_model_hook -.-> tool2;
pre_model_hook --> agent;
tool --> pre_model_hook;
tool2 --> pre_model_hook;
generate_structured_response --> __end__;
'''
# ---
+52 -317
View File
@@ -1,14 +1,9 @@
import dataclasses
import inspect
import json
from functools import partial
from typing import (
Annotated,
List,
Literal,
Optional,
Type,
TypeVar,
Union,
)
@@ -16,7 +11,6 @@ import pytest
from langchain_core.language_models import BaseChatModel
from langchain_core.messages import (
AIMessage,
AnyMessage,
HumanMessage,
MessageLikeRepresentation,
RemoveMessage,
@@ -28,17 +22,14 @@ from langchain_core.runnables import RunnableConfig, RunnableLambda
from langchain_core.tools import InjectedToolCallId, ToolException
from langchain_core.tools import tool as dec_tool
from pydantic import BaseModel, Field
from pydantic.v1 import BaseModel as BaseModelV1
from typing_extensions import TypedDict
from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.config import get_stream_writer
from langgraph.graph import START, MessagesState, StateGraph, add_messages
from langgraph.graph import START, MessagesState, StateGraph
from langgraph.graph.message import REMOVE_ALL_MESSAGES
from langgraph.prebuilt import (
ToolNode,
create_react_agent,
tools_condition,
)
from langgraph.prebuilt.chat_agent_executor import (
AgentState,
@@ -184,7 +175,7 @@ def test_runnable_prompt():
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
def test_prompt_with_store(version: str):
def test_prompt_with_store(version: Literal["v1", "v2"]):
def add(a: int, b: int):
"""Adds a and b"""
return a + b
@@ -654,124 +645,6 @@ def test_react_agent_parallel_tool_calls(
assert get_weather_execution_count == 1
class _InjectStateSchema(TypedDict):
messages: list
foo: str
class _InjectedStatePydanticSchema(BaseModelV1):
messages: list
foo: str
class _InjectedStatePydanticV2Schema(BaseModel):
messages: list
foo: str
@dataclasses.dataclass
class _InjectedStateDataclassSchema:
messages: list
foo: str
T = TypeVar("T")
@pytest.mark.parametrize(
"schema_",
[
_InjectStateSchema,
_InjectedStatePydanticSchema,
_InjectedStatePydanticV2Schema,
_InjectedStateDataclassSchema,
],
)
def test_tool_node_inject_state(schema_: Type[T]) -> None:
def tool1(some_val: int, state: Annotated[T, InjectedState]) -> str:
"""Tool 1 docstring."""
if isinstance(state, dict):
return state["foo"]
else:
return getattr(state, "foo")
def tool2(some_val: int, state: Annotated[T, InjectedState()]) -> str:
"""Tool 2 docstring."""
if isinstance(state, dict):
return state["foo"]
else:
return getattr(state, "foo")
def tool3(
some_val: int,
foo: Annotated[str, InjectedState("foo")],
msgs: Annotated[List[AnyMessage], InjectedState("messages")],
) -> str:
"""Tool 1 docstring."""
return foo
def tool4(
some_val: int, msgs: Annotated[List[AnyMessage], InjectedState("messages")]
) -> str:
"""Tool 1 docstring."""
return msgs[0].content
node = ToolNode([tool1, tool2, tool3, tool4])
for tool_name in ("tool1", "tool2", "tool3"):
tool_call = {
"name": tool_name,
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
result = node.invoke(schema_(**{"messages": [msg], "foo": "bar"}))
tool_message = result["messages"][-1]
assert tool_message.content == "bar", f"Failed for tool={tool_name}"
if tool_name == "tool3":
failure_input = None
try:
failure_input = schema_(**{"messages": [msg], "notfoo": "bar"})
except Exception:
pass
if failure_input is not None:
with pytest.raises(KeyError):
node.invoke(failure_input)
with pytest.raises(ValueError):
node.invoke([msg])
else:
failure_input = None
try:
failure_input = schema_(**{"messages": [msg], "notfoo": "bar"})
except Exception:
# We'd get a validation error from pydantic state and wouldn't make it to the node
# anyway
pass
if failure_input is not None:
messages_ = node.invoke(failure_input)
tool_message = messages_["messages"][-1]
assert "KeyError" in tool_message.content
tool_message = node.invoke([msg])[-1]
assert "KeyError" in tool_message.content
tool_call = {
"name": "tool4",
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
result = node.invoke(schema_(**{"messages": [msg], "foo": ""}))
tool_message = result["messages"][-1]
assert tool_message.content == "hi?"
result = node.invoke([msg])
tool_message = result[-1]
assert tool_message.content == "hi?"
class AgentStateExtraKey(AgentState):
foo: int
@@ -780,14 +653,24 @@ class AgentStateExtraKeyPydantic(AgentStatePydantic):
foo: int
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
@pytest.mark.parametrize("version", ["v1", "v2"])
@pytest.mark.parametrize(
"state_schema", [AgentStateExtraKey, AgentStateExtraKeyPydantic]
)
@pytest.mark.parametrize(
"use_individual_tool_nodes",
[False, True],
ids=["single_tool_node", "node_per_tool"],
)
def test_create_react_agent_inject_vars(
version: Literal["v1", "v2"], state_schema: StateSchemaType
version: Literal["v1", "v2"],
state_schema: StateSchemaType,
use_individual_tool_nodes: bool,
) -> None:
"""Test that the agent can inject state and store into tool functions."""
if version == "v1" and use_individual_tool_nodes:
pytest.skip("v1 does not support individual tool nodes")
store = InMemoryStore()
namespace = ("test",)
store.put(namespace, "test_key", {"bar": 3})
@@ -826,6 +709,7 @@ def test_create_react_agent_inject_vars(
state_schema=state_schema,
store=store,
version=version,
use_individual_tool_nodes=use_individual_tool_nodes,
)
result = agent.invoke({"messages": [{"role": "user", "content": "hi"}], "foo": 2})
assert result["messages"] == [
@@ -837,137 +721,18 @@ def test_create_react_agent_inject_vars(
assert result["foo"] == 2
def test_tool_node_inject_store() -> None:
store = InMemoryStore()
namespace = ("test",)
def tool1(some_val: int, store: Annotated[BaseStore, InjectedStore()]) -> str:
"""Tool 1 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}"
def tool2(some_val: int, store: Annotated[BaseStore, InjectedStore()]) -> str:
"""Tool 2 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}"
def tool3(
some_val: int,
bar: Annotated[str, InjectedState("bar")],
store: Annotated[BaseStore, InjectedStore()],
) -> str:
"""Tool 3 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}, state val: {bar}"
node = ToolNode([tool1, tool2, tool3], handle_tool_errors=True)
store.put(namespace, "test_key", {"foo": "bar"})
class State(MessagesState):
bar: str
builder = StateGraph(State)
builder.add_node("tools", node)
builder.add_edge(START, "tools")
graph = builder.compile(store=store)
for tool_name in ("tool1", "tool2"):
tool_call = {
"name": tool_name,
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
node_result = node.invoke({"messages": [msg]}, store=store)
graph_result = graph.invoke({"messages": [msg]})
for result in (node_result, graph_result):
result["messages"][-1]
tool_message = result["messages"][-1]
assert tool_message.content == "Some val: 1, store val: bar", (
f"Failed for tool={tool_name}"
)
tool_call = {
"name": "tool3",
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
node_result = node.invoke({"messages": [msg], "bar": "baz"}, store=store)
graph_result = graph.invoke({"messages": [msg], "bar": "baz"})
for result in (node_result, graph_result):
result["messages"][-1]
tool_message = result["messages"][-1]
assert tool_message.content == "Some val: 1, store val: bar, state val: baz", (
f"Failed for tool={tool_name}"
)
# test injected store without passing store to compiled graph
failing_graph = builder.compile()
with pytest.raises(ValueError):
failing_graph.invoke({"messages": [msg], "bar": "baz"})
def test_tool_node_ensure_utf8() -> None:
@dec_tool
def get_day_list(days: list[str]) -> list[str]:
"""choose days"""
return days
data = ["星期一", "水曜日", "목요일", "Friday"]
tools = [get_day_list]
tool_calls = [ToolCall(name=get_day_list.name, args={"days": data}, id="test_id")]
outputs: list[ToolMessage] = ToolNode(tools).invoke(
[AIMessage(content="", tool_calls=tool_calls)]
)
assert outputs[0].content == json.dumps(data, ensure_ascii=False)
def test_tool_node_messages_key() -> None:
@dec_tool
def add(a: int, b: int):
"""Adds a and b."""
return a + b
model = FakeToolCallingModel(
tool_calls=[[ToolCall(name=add.name, args={"a": 1, "b": 2}, id="test_id")]]
)
class State(TypedDict):
subgraph_messages: Annotated[list[AnyMessage], add_messages]
def call_model(state: State):
response = model.invoke(state["subgraph_messages"])
model.tool_calls = []
return {"subgraph_messages": response}
builder = StateGraph(State)
builder.add_node("agent", call_model)
builder.add_node("tools", ToolNode([add], messages_key="subgraph_messages"))
builder.add_conditional_edges(
"agent", partial(tools_condition, messages_key="subgraph_messages")
)
builder.add_edge(START, "agent")
builder.add_edge("tools", "agent")
graph = builder.compile()
result = graph.invoke({"subgraph_messages": [HumanMessage(content="hi")]})
assert result["subgraph_messages"] == [
_AnyIdHumanMessage(content="hi"),
AIMessage(
content="hi",
id="0",
tool_calls=[ToolCall(name=add.name, args={"a": 1, "b": 2}, id="test_id")],
),
_AnyIdToolMessage(content="3", name=add.name, tool_call_id="test_id"),
AIMessage(content="hi-hi-3", id="1"),
]
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
async def test_return_direct(version: str) -> None:
@pytest.mark.parametrize(
"use_individual_tool_nodes",
[False, True],
ids=["single_tool_node", "node_per_tool"],
)
async def test_return_direct(
version: Literal["v1", "v2"], use_individual_tool_nodes: bool
) -> None:
if version == "v1" and use_individual_tool_nodes:
pytest.skip("v1 does not support individual tool nodes")
@dec_tool(return_direct=True)
def tool_return_direct(input: str) -> str:
"""A tool that returns directly."""
@@ -995,6 +760,7 @@ async def test_return_direct(version: str) -> None:
model,
[tool_return_direct, tool_normal],
version=version,
use_individual_tool_nodes=use_individual_tool_nodes,
)
# Test direct return for tool_return_direct
@@ -1088,15 +854,27 @@ def test__get_state_args() -> None:
def test_inspect_react() -> None:
"""Test that we can inspect the agent and its nodes."""
model = FakeToolCallingModel(tool_calls=[])
agent = create_react_agent(model, [])
inspect.getclosurevars(agent.nodes["agent"].bound.func)
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
@pytest.mark.parametrize(
"use_individual_tool_nodes",
[False, True],
ids=["single_tool_node", "node_per_tool"],
)
def test_react_with_subgraph_tools(
sync_checkpointer: BaseCheckpointSaver, version: Literal["v1", "v2"]
sync_checkpointer: BaseCheckpointSaver,
version: Literal["v1", "v2"],
use_individual_tool_nodes: bool,
) -> None:
"""Test React agent with subgraph tools."""
if version == "v1" and use_individual_tool_nodes:
pytest.skip("v1 does not support individual tool nodes")
class State(TypedDict):
a: int
b: int
@@ -1152,6 +930,7 @@ def test_react_with_subgraph_tools(
tool_node,
checkpointer=sync_checkpointer,
version=version,
use_individual_tool_nodes=use_individual_tool_nodes,
)
result = agent.invoke(
{"messages": [HumanMessage(content="What's 2 + 3 and 2 * 3?")]},
@@ -1182,63 +961,18 @@ def test_react_with_subgraph_tools(
]
def test_tool_node_stream_writer() -> None:
@dec_tool
def streaming_tool(x: int) -> str:
"""Do something with writer."""
my_writer = get_stream_writer()
for value in ["foo", "bar", "baz"]:
my_writer({"custom_tool_value": value})
return x
tool_node = ToolNode([streaming_tool])
graph = (
StateGraph(MessagesState)
.add_node("tools", tool_node)
.add_edge(START, "tools")
.compile()
)
tool_call = {
"name": "streaming_tool",
"args": {"x": 1},
"id": "1",
"type": "tool_call",
}
inputs = {
"messages": [AIMessage("", tool_calls=[tool_call])],
}
assert list(graph.stream(inputs, stream_mode="custom")) == [
{"custom_tool_value": "foo"},
{"custom_tool_value": "bar"},
{"custom_tool_value": "baz"},
]
assert list(graph.stream(inputs, stream_mode=["custom", "updates"])) == [
("custom", {"custom_tool_value": "foo"}),
("custom", {"custom_tool_value": "bar"}),
("custom", {"custom_tool_value": "baz"}),
(
"updates",
{
"tools": {
"messages": [
_AnyIdToolMessage(
content="1",
name="streaming_tool",
tool_call_id="1",
),
],
},
},
),
]
@pytest.mark.parametrize("version", REACT_TOOL_CALL_VERSIONS)
def test_react_agent_subgraph_streaming_sync(version: Literal["v1", "v2"]) -> None:
@pytest.mark.parametrize(
"use_individual_tool_nodes",
[False, True],
ids=["single_tool_node", "node_per_tool"],
)
def test_react_agent_subgraph_streaming_sync(
version: Literal["v1", "v2"], use_individual_tool_nodes: bool
) -> None:
"""Test React agent streaming when used as a subgraph node sync version"""
if version == "v1" and use_individual_tool_nodes:
pytest.skip("v1 does not support individual tool nodes")
@dec_tool
def get_weather(city: str) -> str:
@@ -1258,6 +992,7 @@ def test_react_agent_subgraph_streaming_sync(version: Literal["v1", "v2"]) -> No
tools=[get_weather],
prompt="You are a helpful travel assistant.",
version=version,
use_individual_tool_nodes=use_individual_tool_nodes,
)
# Create a subgraph that uses the React agent as a node
@@ -15,6 +15,11 @@ def tool() -> None:
...
def tool2() -> None:
"""Another testing tool."""
...
def pre_model_hook() -> None:
"""Pre-model hook."""
...
@@ -49,4 +54,44 @@ def test_react_agent_graph_structure(
post_model_hook=post_model_hook,
response_format=response_format,
)
try:
assert agent.get_graph().draw_mermaid(with_styles=False) == snapshot
except Exception as e:
raise ValueError(
"The graph structure has changed. Please update the snapshot."
"Configuration used:\n"
f"tools: {tools}, "
f"pre_model_hook: {pre_model_hook}, "
f"post_model_hook: {post_model_hook}, "
f"response_format: {response_format}"
) from e
@pytest.mark.parametrize("tools", [[], [tool, tool2]], ids=["no_tools", "two_tools"])
@pytest.mark.parametrize(
"pre_model_hook", [None, pre_model_hook], ids=["no_pre_hook", "with_pre_hook"]
)
@pytest.mark.parametrize(
"post_model_hook", [None, post_model_hook], ids=["no_post_hook", "with_post_hook"]
)
@pytest.mark.parametrize(
"response_format",
[None, ResponseFormat],
ids=["no_response_format", "with_response_format"],
)
def test_react_agent_graph_structure_with_individual_nodes(
snapshot: SnapshotAssertion,
tools: list[Callable],
pre_model_hook: Union[Callable, None],
post_model_hook: Union[Callable, None],
response_format: Union[type[BaseModel], None],
) -> None:
agent = create_react_agent(
model,
tools=tools,
pre_model_hook=pre_model_hook,
post_model_hook=post_model_hook,
response_format=response_format,
use_individual_tool_nodes=True,
)
assert agent.get_graph().draw_mermaid(with_styles=False) == snapshot
+396 -3
View File
@@ -1,25 +1,49 @@
import dataclasses
import json
from functools import partial
from typing import (
Annotated,
Any,
List,
Type,
TypeVar,
Union,
)
import pytest
from langchain_core.messages import (
AIMessage,
AnyMessage,
HumanMessage,
RemoveMessage,
ToolCall,
ToolMessage,
)
from langchain_core.tools import BaseTool, ToolException
from langchain_core.tools import tool as dec_tool
from pydantic import BaseModel, ValidationError
from pydantic.v1 import BaseModel as BaseModelV1
from pydantic.v1 import ValidationError as ValidationErrorV1
from typing_extensions import TypedDict
from langgraph.config import get_stream_writer
from langgraph.errors import GraphBubbleUp, GraphInterrupt
from langgraph.graph.message import REMOVE_ALL_MESSAGES
from langgraph.prebuilt import ToolNode
from langgraph.prebuilt.tool_node import TOOL_CALL_ERROR_TEMPLATE
from langgraph.graph import START, MessagesState, StateGraph
from langgraph.graph.message import REMOVE_ALL_MESSAGES, add_messages
from langgraph.prebuilt import (
ToolNode,
)
from langgraph.prebuilt.tool_node import (
TOOL_CALL_ERROR_TEMPLATE,
InjectedState,
InjectedStore,
tools_condition,
)
from langgraph.store.base import BaseStore
from langgraph.store.memory import InMemoryStore
from langgraph.types import Command, Send
from tests.messages import _AnyIdHumanMessage, _AnyIdToolMessage
from tests.model import FakeToolCallingModel
pytestmark = pytest.mark.anyio
@@ -1156,3 +1180,372 @@ async def test_tool_node_command_remove_all_messages():
command = result[0]
assert isinstance(command, Command)
assert command.update == {"messages": [RemoveMessage(id=REMOVE_ALL_MESSAGES)]}
class _InjectStateSchema(TypedDict):
messages: list
foo: str
class _InjectedStatePydanticSchema(BaseModelV1):
messages: list
foo: str
class _InjectedStatePydanticV2Schema(BaseModel):
messages: list
foo: str
@dataclasses.dataclass
class _InjectedStateDataclassSchema:
messages: list
foo: str
T = TypeVar("T")
@pytest.mark.parametrize(
"schema_",
[
_InjectStateSchema,
_InjectedStatePydanticSchema,
_InjectedStatePydanticV2Schema,
_InjectedStateDataclassSchema,
],
)
def test_tool_node_inject_state(schema_: Type[T]) -> None:
def tool1(some_val: int, state: Annotated[T, InjectedState]) -> str:
"""Tool 1 docstring."""
if isinstance(state, dict):
return state["foo"]
else:
return getattr(state, "foo")
def tool2(some_val: int, state: Annotated[T, InjectedState()]) -> str:
"""Tool 2 docstring."""
if isinstance(state, dict):
return state["foo"]
else:
return getattr(state, "foo")
def tool3(
some_val: int,
foo: Annotated[str, InjectedState("foo")],
msgs: Annotated[List[AnyMessage], InjectedState("messages")],
) -> str:
"""Tool 1 docstring."""
return foo
def tool4(
some_val: int, msgs: Annotated[List[AnyMessage], InjectedState("messages")]
) -> str:
"""Tool 1 docstring."""
return msgs[0].content
node = ToolNode([tool1, tool2, tool3, tool4])
for tool_name in ("tool1", "tool2", "tool3"):
tool_call = {
"name": tool_name,
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
result = node.invoke(schema_(**{"messages": [msg], "foo": "bar"}))
tool_message = result["messages"][-1]
assert tool_message.content == "bar", f"Failed for tool={tool_name}"
if tool_name == "tool3":
failure_input = None
try:
failure_input = schema_(**{"messages": [msg], "notfoo": "bar"})
except Exception:
pass
if failure_input is not None:
with pytest.raises(KeyError):
node.invoke(failure_input)
with pytest.raises(ValueError):
node.invoke([msg])
else:
failure_input = None
try:
failure_input = schema_(**{"messages": [msg], "notfoo": "bar"})
except Exception:
# We'd get a validation error from pydantic state and wouldn't make it to the node
# anyway
pass
if failure_input is not None:
messages_ = node.invoke(failure_input)
tool_message = messages_["messages"][-1]
assert "KeyError" in tool_message.content
tool_message = node.invoke([msg])[-1]
assert "KeyError" in tool_message.content
tool_call = {
"name": "tool4",
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
result = node.invoke(schema_(**{"messages": [msg], "foo": ""}))
tool_message = result["messages"][-1]
assert tool_message.content == "hi?"
result = node.invoke([msg])
tool_message = result[-1]
assert tool_message.content == "hi?"
def test_tool_node_inject_store() -> None:
store = InMemoryStore()
namespace = ("test",)
def tool1(some_val: int, store: Annotated[BaseStore, InjectedStore()]) -> str:
"""Tool 1 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}"
def tool2(some_val: int, store: Annotated[BaseStore, InjectedStore()]) -> str:
"""Tool 2 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}"
def tool3(
some_val: int,
bar: Annotated[str, InjectedState("bar")],
store: Annotated[BaseStore, InjectedStore()],
) -> str:
"""Tool 3 docstring."""
store_val = store.get(namespace, "test_key").value["foo"]
return f"Some val: {some_val}, store val: {store_val}, state val: {bar}"
node = ToolNode([tool1, tool2, tool3], handle_tool_errors=True)
store.put(namespace, "test_key", {"foo": "bar"})
class State(MessagesState):
bar: str
builder = StateGraph(State)
builder.add_node("tools", node)
builder.add_edge(START, "tools")
graph = builder.compile(store=store)
for tool_name in ("tool1", "tool2"):
tool_call = {
"name": tool_name,
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
node_result = node.invoke({"messages": [msg]}, store=store)
graph_result = graph.invoke({"messages": [msg]})
for result in (node_result, graph_result):
result["messages"][-1]
tool_message = result["messages"][-1]
assert tool_message.content == "Some val: 1, store val: bar", (
f"Failed for tool={tool_name}"
)
tool_call = {
"name": "tool3",
"args": {"some_val": 1},
"id": "some 0",
"type": "tool_call",
}
msg = AIMessage("hi?", tool_calls=[tool_call])
node_result = node.invoke({"messages": [msg], "bar": "baz"}, store=store)
graph_result = graph.invoke({"messages": [msg], "bar": "baz"})
for result in (node_result, graph_result):
result["messages"][-1]
tool_message = result["messages"][-1]
assert tool_message.content == "Some val: 1, store val: bar, state val: baz", (
f"Failed for tool={tool_name}"
)
# test injected store without passing store to compiled graph
failing_graph = builder.compile()
with pytest.raises(ValueError):
failing_graph.invoke({"messages": [msg], "bar": "baz"})
def test_tool_node_ensure_utf8() -> None:
@dec_tool
def get_day_list(days: list[str]) -> list[str]:
"""choose days"""
return days
data = ["星期一", "水曜日", "목요일", "Friday"]
tools = [get_day_list]
tool_calls = [ToolCall(name=get_day_list.name, args={"days": data}, id="test_id")]
outputs: list[ToolMessage] = ToolNode(tools).invoke(
[AIMessage(content="", tool_calls=tool_calls)]
)
assert outputs[0].content == json.dumps(data, ensure_ascii=False)
def test_tool_node_messages_key() -> None:
@dec_tool
def add(a: int, b: int):
"""Adds a and b."""
return a + b
model = FakeToolCallingModel(
tool_calls=[[ToolCall(name=add.name, args={"a": 1, "b": 2}, id="test_id")]]
)
class State(TypedDict):
subgraph_messages: Annotated[list[AnyMessage], add_messages]
def call_model(state: State):
response = model.invoke(state["subgraph_messages"])
model.tool_calls = []
return {"subgraph_messages": response}
builder = StateGraph(State)
builder.add_node("agent", call_model)
builder.add_node("tools", ToolNode([add], messages_key="subgraph_messages"))
builder.add_conditional_edges(
"agent", partial(tools_condition, messages_key="subgraph_messages")
)
builder.add_edge(START, "agent")
builder.add_edge("tools", "agent")
graph = builder.compile()
result = graph.invoke({"subgraph_messages": [HumanMessage(content="hi")]})
assert result["subgraph_messages"] == [
_AnyIdHumanMessage(content="hi"),
AIMessage(
content="hi",
id="0",
tool_calls=[ToolCall(name=add.name, args={"a": 1, "b": 2}, id="test_id")],
),
_AnyIdToolMessage(content="3", name=add.name, tool_call_id="test_id"),
AIMessage(content="hi-hi-3", id="1"),
]
def test_tool_node_stream_writer() -> None:
@dec_tool
def streaming_tool(x: int) -> str:
"""Do something with writer."""
my_writer = get_stream_writer()
for value in ["foo", "bar", "baz"]:
my_writer({"custom_tool_value": value})
return x
tool_node = ToolNode([streaming_tool])
graph = (
StateGraph(MessagesState)
.add_node("tools", tool_node)
.add_edge(START, "tools")
.compile()
)
tool_call = {
"name": "streaming_tool",
"args": {"x": 1},
"id": "1",
"type": "tool_call",
}
inputs = {
"messages": [AIMessage("", tool_calls=[tool_call])],
}
assert list(graph.stream(inputs, stream_mode="custom")) == [
{"custom_tool_value": "foo"},
{"custom_tool_value": "bar"},
{"custom_tool_value": "baz"},
]
assert list(graph.stream(inputs, stream_mode=["custom", "updates"])) == [
("custom", {"custom_tool_value": "foo"}),
("custom", {"custom_tool_value": "bar"}),
("custom", {"custom_tool_value": "baz"}),
(
"updates",
{
"tools": {
"messages": [
_AnyIdToolMessage(
content="1",
name="streaming_tool",
tool_call_id="1",
),
],
},
},
),
]
async def test_structured_output_tools():
"""Test that ToolNode handles Pydantic model classes as structured output tools."""
class OutputSchema(BaseModel):
name: str
age: int
location: str
tool_node = ToolNode([OutputSchema])
# Test that the structured output tool is registered correctly
assert "OutputSchema" in tool_node.tools_by_name
assert "OutputSchema" in tool_node.structured_output_tools
# Create a tool call that matches the schema
tool_call = {
"name": "OutputSchema",
"args": {"name": "Alice", "age": 30, "location": "NYC"},
"id": "call_123",
"type": "tool_call",
}
# Test sync execution
result = tool_node.invoke(
{"messages": [AIMessage(content="", tool_calls=[tool_call])]}
)
# Should return a Command with structured response
assert isinstance(result, list)
assert len(result) == 1
command = result[0]
assert isinstance(command, Command)
# Check the update structure
assert "messages" in command.update
assert "structured_response" in command.update
# Check the tool message
tool_message = command.update["messages"][0]
assert isinstance(tool_message, ToolMessage)
assert tool_message.name == "OutputSchema"
assert tool_message.tool_call_id == "call_123"
# Check the structured response
structured_response = command.update["structured_response"]
assert isinstance(structured_response, OutputSchema)
assert structured_response.name == "Alice"
assert structured_response.age == 30
assert structured_response.location == "NYC"
# Test async execution
result_async = await tool_node.ainvoke(
{"messages": [AIMessage(content="", tool_calls=[tool_call])]}
)
# Should produce the same result
assert isinstance(result_async, list)
assert len(result_async) == 1
command_async = result_async[0]
assert isinstance(command_async, Command)
assert "structured_response" in command_async.update
structured_response_async = command_async.update["structured_response"]
assert isinstance(structured_response_async, OutputSchema)
assert structured_response_async.name == "Alice"
+2 -1
View File
@@ -316,7 +316,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "0.6.6"
version = "0.6.4"
source = { editable = "../langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -509,6 +509,7 @@ dev = [
[[package]]
name = "langgraph-sdk"
version = "0.2.0"
source = { editable = "../sdk-py" }
dependencies = [
{ name = "httpx" },
+3 -3
View File
@@ -1,7 +1,7 @@
.PHONY: lint format test
.PHONY: lint format
test:
uv run pytest tests
echo "No tests to run"
######################
# LINTING AND FORMATTING
@@ -17,7 +17,7 @@ lint lint_diff:
uv run ruff check .
[ "$(PYTHON_FILES)" = "" ] || uv run ruff format $(PYTHON_FILES) --diff
[ "$(PYTHON_FILES)" = "" ] || uv run ruff check --select I $(PYTHON_FILES)
uvx ty check .
[ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || uv run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE)
format format_diff:
uv run ruff check --select I --fix $(PYTHON_FILES)
+6 -1
View File
@@ -1,6 +1,11 @@
from langgraph_sdk.auth import Auth
from langgraph_sdk.client import get_client, get_sync_client
__version__ = "0.2.2"
try:
from importlib import metadata
__version__ = metadata.version(__package__)
except metadata.PackageNotFoundError:
__version__ = "unknown"
__all__ = ["Auth", "get_client", "get_sync_client"]
+4 -8
View File
@@ -385,8 +385,6 @@ class _ResourceOn(typing.Generic[VCreate, VRead, VUpdate, VDelete, VSearch]):
_register_handler(self.auth, self.resource, "*", handler),
)
# Accept keyword-only parameters for future filtering behavior; referenced to satisfy linters.
_ = resources, actions
return decorator
@@ -703,7 +701,7 @@ def _validate_handler(fn: Callable[..., typing.Any]) -> None:
"""
if not inspect.iscoroutinefunction(fn):
raise ValueError(
f"Auth handler '{getattr(fn, '__name__', fn)}' must be an async function. "
f"Auth handler '{fn.__name__}' must be an async function. "
"Add 'async' before 'def' to make it asynchronous and ensure"
" any IO operations are non-blocking."
)
@@ -711,20 +709,18 @@ def _validate_handler(fn: Callable[..., typing.Any]) -> None:
sig = inspect.signature(fn)
if "ctx" not in sig.parameters:
raise ValueError(
f"Auth handler '{getattr(fn, '__name__', fn)}' must have a 'ctx: AuthContext' parameter. "
f"Auth handler '{fn.__name__}' must have a 'ctx: AuthContext' parameter. "
"Update the function signature to include this required parameter."
)
if "value" not in sig.parameters:
raise ValueError(
f"Auth handler '{getattr(fn, '__name__', fn)}' must have a 'value' parameter. "
f"Auth handler '{fn.__name__}' must have a 'value' parameter. "
" The value contains the mutable data being sent to the endpoint."
"Update the function signature to include this required parameter."
)
def is_studio_user(
user: types.MinimalUser | types.BaseUser | types.MinimalUserDict,
) -> bool:
def is_studio_user(user: types.MinimalUser | types.User | types.UserDict) -> bool:
return (
isinstance(user, types.StudioUser)
or isinstance(user, dict)
File diff suppressed because it is too large Load Diff
+1 -68
View File
@@ -2,7 +2,7 @@
from __future__ import annotations
from collections.abc import Mapping, Sequence
from collections.abc import Sequence
from datetime import datetime
from typing import (
Any,
@@ -10,7 +10,6 @@ from typing import (
NamedTuple,
Optional,
TypedDict,
Union,
)
from typing_extensions import TypeAlias
@@ -349,72 +348,6 @@ class Cron(TypedDict):
"""The metadata of the cron."""
# Select field aliases for client-side typing of `select` parameters.
# These mirror the server's allowed field sets.
AssistantSelectField = Literal[
"assistant_id",
"graph_id",
"name",
"description",
"config",
"context",
"created_at",
"updated_at",
"metadata",
"version",
]
ThreadSelectField = Literal[
"thread_id",
"created_at",
"updated_at",
"metadata",
"config",
"context",
"status",
"values",
"interrupts",
]
RunSelectField = Literal[
"run_id",
"thread_id",
"assistant_id",
"created_at",
"updated_at",
"status",
"metadata",
"kwargs",
"multitask_strategy",
]
CronSelectField = Literal[
"cron_id",
"assistant_id",
"thread_id",
"end_time",
"schedule",
"created_at",
"updated_at",
"user_id",
"payload",
"next_run_date",
"metadata",
"now",
]
PrimitiveData = Optional[Union[str, int, float, bool]]
QueryParamTypes = Union[
Mapping[str, Union[PrimitiveData, Sequence[PrimitiveData]]],
list[tuple[str, PrimitiveData]],
tuple[tuple[str, PrimitiveData], ...],
str,
bytes,
]
class RunCreate(TypedDict):
"""Defines the parameters for initiating a background run."""
+1 -1
View File
@@ -95,7 +95,7 @@ class SSEDecoder:
sse = StreamPart(
event=self._event,
data=orjson.loads(self._data) if self._data else None, # type: ignore[invalid-argument-type]
data=orjson.loads(self._data) if self._data else None,
)
# NOTE: as per the SSE spec, do not reset last_event_id.
+1 -5
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-sdk"
dynamic = ["version"]
version = "0.2.0"
description = "SDK for interacting with LangGraph API"
authors = []
requires-python = ">=3.9"
@@ -16,9 +16,6 @@ dependencies = [
"orjson>=3.10.1",
]
[tool.hatch.version]
path = "langgraph_sdk/__init__.py"
[project.urls]
Repository = "https://www.github.com/langchain-ai/langgraph"
@@ -50,6 +47,5 @@ lint.select = [
"UP", # pyupgrade
"B", # flake8-bugbear
"I", # isort
"ARG", # flake8-unused-arguments
]
lint.ignore = ["E501", "B008"]
-120
View File
@@ -1,120 +0,0 @@
from __future__ import annotations
import inspect
import re
import pytest
from langgraph_sdk.client import (
AssistantsClient,
CronClient,
RunsClient,
StoreClient,
SyncAssistantsClient,
SyncCronClient,
SyncRunsClient,
SyncStoreClient,
SyncThreadsClient,
ThreadsClient,
)
def _public_methods(cls) -> dict[str, object]:
methods: dict[str, object] = {}
# Use the raw class dict to avoid runtime wrappers from plugins/decorators
for name, member in cls.__dict__.items():
if name.startswith("_"):
continue
if inspect.isfunction(member):
methods[name] = member
return methods
def _strip_self(sig: inspect.Signature) -> inspect.Signature:
params = list(sig.parameters.values())
if params and params[0].name == "self":
params = params[1:]
return sig.replace(parameters=params)
def _normalize_return_annotation(ann: object) -> str:
s = str(ann)
s = re.sub(r"\s+", "", s)
s = s.replace("typing.", "").replace("collections.abc.", "")
s = re.sub(r"AsyncGenerator\[([^,\]]+)(?:,[^\]]*)?\]", r"Iterator[\1]", s)
s = re.sub(r"Generator\[([^,\]]+)(?:,[^\]]*)?\]", r"Iterator[\1]", s)
s = re.sub(r"AsyncIterator\[(.+)\]", r"Iterator[\1]", s)
s = re.sub(r"AsyncIterable\[(.+)\]", r"Iterable[\1]", s)
return s
@pytest.mark.parametrize(
"async_cls,sync_cls",
[
(AssistantsClient, SyncAssistantsClient),
(ThreadsClient, SyncThreadsClient),
(RunsClient, SyncRunsClient),
(CronClient, SyncCronClient),
(StoreClient, SyncStoreClient),
],
)
def test_sync_api_matches_async(async_cls, sync_cls):
async_methods = _public_methods(async_cls)
sync_methods = _public_methods(sync_cls)
# Method name parity
assert set(sync_methods.keys()) == set(async_methods.keys()), (
f"Method sets differ: async-only={set(async_methods) - set(sync_methods)}, sync-only={set(sync_methods) - set(async_methods)}"
)
for name, async_fn in async_methods.items():
sync_fn = sync_methods[name]
# Use inspect.signature for parameter names (robust across versions)
async_sig = _strip_self(inspect.signature(async_fn))
sync_sig = _strip_self(inspect.signature(sync_fn))
a_names = list(async_sig.parameters.keys())
s_names = list(sync_sig.parameters.keys())
assert set(a_names) == set(s_names), (
f"Parameter names differ for {async_cls.__name__}.{name}: "
f"async={a_names}, sync={s_names}"
)
# Compare default presence and parameter kinds (with some tolerance)
a_params = async_sig.parameters
s_params = sync_sig.parameters
def kinds_compatible(
akind: inspect._ParameterKind, skind: inspect._ParameterKind
) -> bool:
if akind == skind:
return True
return {
inspect.Parameter.KEYWORD_ONLY,
inspect.Parameter.POSITIONAL_OR_KEYWORD,
} == {akind, skind}
for pname in set(a_names) & set(s_names):
apar = a_params[pname]
spar = s_params[pname]
assert kinds_compatible(apar.kind, spar.kind), (
f"Parameter kind mismatch for {async_cls.__name__}.{name}.{pname}: "
f"async={apar.kind}, sync={spar.kind}"
)
assert (apar.default is inspect._empty) == (
spar.default is inspect._empty
), (
f"Default presence mismatch for {async_cls.__name__}.{name}.{pname}: "
f"async_has_default={apar.default is not inspect._empty}, "
f"sync_has_default={spar.default is not inspect._empty}"
)
# Return annotations must match or be iterator-equivalent
a_ret = _normalize_return_annotation(async_sig.return_annotation)
s_ret = _normalize_return_annotation(sync_sig.return_annotation)
assert a_ret == s_ret, (
f"Return annotation mismatch for {async_cls.__name__}.{name}: "
f"async={a_ret}, sync={s_ret}"
)
@@ -1,76 +0,0 @@
import functools
import json
import os
from pathlib import Path
from typing import get_args
from langgraph_sdk.schema import (
AssistantSelectField,
CronSelectField,
RunSelectField,
ThreadSelectField,
)
current_dir = os.path.dirname(os.path.abspath(__file__))
@functools.cache
def _load_spec() -> dict:
with (
Path(current_dir).parents[2]
/ "docs"
/ "docs"
/ "cloud"
/ "reference"
/ "api"
/ "openapi.json"
).open() as f:
return json.load(f)
def _enum_from_request_select(spec: dict, path: str, method: str) -> set[str]:
schema = spec["paths"][path][method]["requestBody"]["content"]["application/json"][
"schema"
]
if "properties" in schema:
props = schema["properties"]
elif "$ref" in schema:
component = spec
index = schema["$ref"].split("/")[1:]
for part in index:
component = component[part]
props = component["properties"]
else:
raise ValueError(f"Unknown schema: {schema}")
sel = props["select"]
return set(sel["items"]["enum"])
def _enum_from_query_select(spec: dict, path: str, method: str) -> set[str]:
params = spec["paths"][path][method]["parameters"]
sel = next(p for p in params if p["name"] == "select")
return set(sel["schema"]["items"]["enum"])
def test_assistants_select_enum_matches_sdk():
spec = _load_spec()
expected = set(get_args(AssistantSelectField))
assert _enum_from_request_select(spec, "/assistants/search", "post") == expected
def test_threads_select_enum_matches_sdk():
spec = _load_spec()
expected = set(get_args(ThreadSelectField))
assert _enum_from_request_select(spec, "/threads/search", "post") == expected
def test_runs_select_enum_matches_sdk():
spec = _load_spec()
expected = set(get_args(RunSelectField))
assert _enum_from_query_select(spec, "/threads/{thread_id}/runs", "get") == expected
def test_crons_select_enum_matches_sdk():
spec = _load_spec()
expected = set(get_args(CronSelectField))
assert _enum_from_request_select(spec, "/runs/crons/search", "post") == expected
+135 -162
View File
@@ -4,7 +4,7 @@ requires-python = ">=3.9"
[[package]]
name = "anyio"
version = "4.10.0"
version = "4.9.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "exceptiongroup", marker = "python_full_version < '3.11'" },
@@ -12,27 +12,18 @@ dependencies = [
{ name = "sniffio" },
{ name = "typing-extensions", marker = "python_full_version < '3.13'" },
]
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[[package]]
@@ -128,6 +119,7 @@ wheels = [
[[package]]
name = "langgraph-sdk"
version = "0.2.0"
source = { editable = "." }
dependencies = [
{ name = "httpx" },
@@ -164,7 +156,7 @@ dev = [
[[package]]
name = "mypy"
version = "1.17.1"
version = "1.17.0"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "mypy-extensions" },
@@ -172,45 +164,39 @@ dependencies = [
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{ name = "typing-extensions" },
]
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