mirror of
https://github.com/langchain-ai/langgraph.git
synced 2026-09-12 04:37:51 +02:00
docs: Delete LGP nav Items from docs (#5743)
Remove the files and nav for LGP docs in the mkdocs site. --------- Co-authored-by: Lauren Hirata Singh <lauren@langchain.dev>
This commit is contained in:
co-authored by
Lauren Hirata Singh
parent
64adb2bab3
commit
95d056e735
@@ -1,22 +0,0 @@
|
||||
# LangGraph Server API Reference
|
||||
|
||||
The LangGraph Server API reference is available within each deployment at the `/docs` endpoint (e.g. `http://localhost:8124/docs`).
|
||||
|
||||
Click <a href="/langgraph/cloud/reference/api/api_ref.html" target="_blank">here</a> to view the API reference.
|
||||
|
||||
## Authentication
|
||||
|
||||
For deployments to LangGraph Platform, authentication is required. Pass the `X-Api-Key` header with each request to the LangGraph Server. The value of the header should be set to a valid LangSmith API key for the organization where the LangGraph Server is deployed.
|
||||
|
||||
Example `curl` command:
|
||||
```shell
|
||||
curl --request POST \
|
||||
--url http://localhost:8124/assistants/search \
|
||||
--header 'Content-Type: application/json' \
|
||||
--header 'X-Api-Key: LANGSMITH_API_KEY' \
|
||||
--data '{
|
||||
"metadata": {},
|
||||
"limit": 10,
|
||||
"offset": 0
|
||||
}'
|
||||
```
|
||||
@@ -1,247 +0,0 @@
|
||||
# LangGraph Control Plane API Reference
|
||||
|
||||
The LangGraph Control Plane API is used to programmatically create and manage LangGraph Server deployments. For example, the APIs can be orchestrated to create custom CI/CD workflows.
|
||||
|
||||
Click <a href="https://api.host.langchain.com/docs" target="_blank">here</a> to view the API reference.
|
||||
|
||||
## Host
|
||||
|
||||
LangGraph Control Plane hosts for Cloud SaaS data regions:
|
||||
|
||||
| US | EU |
|
||||
|----|----|
|
||||
| `https://api.host.langchain.com` | `https://eu.api.host.langchain.com` |
|
||||
|
||||
**Note**: Self-hosted deployments of LangGraph Platform will have a custom host for the LangGraph Control Plane.
|
||||
|
||||
## Authentication
|
||||
|
||||
To authenticate with the LangGraph Control Plane API, set the `X-Api-Key` header to a valid LangSmith API key.
|
||||
|
||||
Example `curl` command:
|
||||
```shell
|
||||
curl --request GET \
|
||||
--url http://localhost:8124/v2/deployments \
|
||||
--header 'X-Api-Key: LANGSMITH_API_KEY'
|
||||
```
|
||||
|
||||
## Versioning
|
||||
|
||||
Each endpoint path is prefixed with a version (e.g. `v1`, `v2`).
|
||||
|
||||
## Quick Start
|
||||
|
||||
1. Call `POST /v2/deployments` to create a new Deployment. The response body contains the Deployment ID (`id`) and the ID of the latest (and first) revision (`latest_revision_id`).
|
||||
1. Call `GET /v2/deployments/{deployment_id}` to retrieve the Deployment. Set `deployment_id` in the URL to the value of Deployment ID (`id`).
|
||||
1. Poll for revision `status` until `status` is `DEPLOYED` by calling `GET /v2/deployments/{deployment_id}/revisions/{latest_revision_id}`.
|
||||
1. Call `PATCH /v2/deployments/{deployment_id}` to update the deployment.
|
||||
|
||||
## Example Code
|
||||
Below is example Python code that demonstrates how to orchestrate the LangGraph Control Plane APIs to create a deployment, update the deployment, and delete the deployment.
|
||||
```python
|
||||
import os
|
||||
import time
|
||||
|
||||
import requests
|
||||
from dotenv import load_dotenv
|
||||
|
||||
|
||||
load_dotenv()
|
||||
|
||||
# required environment variables
|
||||
CONTROL_PLANE_HOST = os.getenv("CONTROL_PLANE_HOST")
|
||||
LANGSMITH_API_KEY = os.getenv("LANGSMITH_API_KEY")
|
||||
INTEGRATION_ID = os.getenv("INTEGRATION_ID")
|
||||
MAX_WAIT_TIME = 1800 # 30 mins
|
||||
|
||||
|
||||
def get_headers() -> dict:
|
||||
"""Return common headers for requests to LangGraph Control Plane API."""
|
||||
return {
|
||||
"X-Api-Key": LANGSMITH_API_KEY,
|
||||
}
|
||||
|
||||
|
||||
def create_deployment() -> str:
|
||||
"""Create deployment. Return deployment ID."""
|
||||
headers = get_headers()
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
deployment_name = "my_deployment"
|
||||
|
||||
request_body = {
|
||||
"name": deployment_name,
|
||||
"source": "github",
|
||||
"source_config": {
|
||||
"integration_id": INTEGRATION_ID,
|
||||
"repo_url": "https://github.com/langchain-ai/langgraph-example",
|
||||
"deployment_type": "dev",
|
||||
"build_on_push": False,
|
||||
"custom_url": None,
|
||||
"resource_spec": None,
|
||||
},
|
||||
"source_revision_config": {
|
||||
"repo_ref": "main",
|
||||
"langgraph_config_path": "langgraph.json",
|
||||
"image_uri": None,
|
||||
},
|
||||
"secrets": [
|
||||
{
|
||||
"name": "OPENAI_API_KEY",
|
||||
"value": "test_openai_api_key",
|
||||
},
|
||||
{
|
||||
"name": "ANTHROPIC_API_KEY",
|
||||
"value": "test_anthropic_api_key",
|
||||
},
|
||||
{
|
||||
"name": "TAVILY_API_KEY",
|
||||
"value": "test_tavily_api_key",
|
||||
},
|
||||
],
|
||||
}
|
||||
|
||||
response = requests.post(
|
||||
url=f"{CONTROL_PLANE_HOST}/v2/deployments",
|
||||
headers=headers,
|
||||
json=request_body,
|
||||
)
|
||||
|
||||
if response.status_code != 201:
|
||||
raise Exception(f"Failed to create deployment: {response.text}")
|
||||
|
||||
deployment_id = response.json()["id"]
|
||||
print(f"Created deployment {deployment_name} ({deployment_id})")
|
||||
return deployment_id
|
||||
|
||||
|
||||
def get_deployment(deployment_id: str) -> dict:
|
||||
"""Get deployment."""
|
||||
response = requests.get(
|
||||
url=f"{CONTROL_PLANE_HOST}/v2/deployments/{deployment_id}",
|
||||
headers=get_headers(),
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
raise Exception(f"Failed to get deployment ID {deployment_id}: {response.text}")
|
||||
|
||||
return response.json()
|
||||
|
||||
|
||||
def list_revisions(deployment_id: str) -> list[dict]:
|
||||
"""List revisions.
|
||||
|
||||
Return list is sorted by created_at in descending order (latest first).
|
||||
"""
|
||||
response = requests.get(
|
||||
url=f"{CONTROL_PLANE_HOST}/v2/deployments/{deployment_id}/revisions",
|
||||
headers=get_headers(),
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
raise Exception(
|
||||
f"Failed to list revisions for deployment ID {deployment_id}: {response.text}"
|
||||
)
|
||||
|
||||
return response.json()
|
||||
|
||||
|
||||
def get_revision(
|
||||
deployment_id: str,
|
||||
revision_id: str,
|
||||
) -> dict:
|
||||
"""Get revision."""
|
||||
response = requests.get(
|
||||
url=f"{CONTROL_PLANE_HOST}/v2/deployments/{deployment_id}/revisions/{revision_id}",
|
||||
headers=get_headers(),
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
raise Exception(f"Failed to get revision ID {revision_id}: {response.text}")
|
||||
|
||||
return response.json()
|
||||
|
||||
|
||||
def patch_deployment(deployment_id: str) -> None:
|
||||
"""Patch deployment."""
|
||||
headers = get_headers()
|
||||
headers["Content-Type"] = "application/json"
|
||||
|
||||
response = requests.patch(
|
||||
url=f"{CONTROL_PLANE_HOST}/v2/deployments/{deployment_id}",
|
||||
headers=headers,
|
||||
json={
|
||||
"source_config": {
|
||||
"build_on_push": True,
|
||||
},
|
||||
"source_revision_config": {
|
||||
"repo_ref": "main",
|
||||
"langgraph_config_path": "langgraph.json",
|
||||
},
|
||||
},
|
||||
)
|
||||
|
||||
if response.status_code != 200:
|
||||
raise Exception(f"Failed to patch deployment: {response.text}")
|
||||
|
||||
print(f"Patched deployment ID {deployment_id}")
|
||||
|
||||
|
||||
def wait_for_deployment(deployment_id: str, revision_id: str) -> None:
|
||||
"""Wait for revision status to be DEPLOYED."""
|
||||
start_time = time.time()
|
||||
revision, status = None, None
|
||||
while time.time() - start_time < MAX_WAIT_TIME:
|
||||
revision = get_revision(deployment_id, revision_id)
|
||||
status = revision["status"]
|
||||
if status == "DEPLOYED":
|
||||
break
|
||||
elif "FAILED" in status:
|
||||
raise Exception(f"Revision ID {revision_id} failed: {revision}")
|
||||
|
||||
print(f"Waiting for revision ID {revision_id} to be DEPLOYED...")
|
||||
time.sleep(60)
|
||||
|
||||
if status != "DEPLOYED":
|
||||
raise Exception(
|
||||
f"Timeout waiting for revision ID {revision_id} to be DEPLOYED: {revision}"
|
||||
)
|
||||
|
||||
|
||||
def delete_deployment(deployment_id: str) -> None:
|
||||
"""Delete deployment."""
|
||||
response = requests.delete(
|
||||
url=f"{CONTROL_PLANE_HOST}/v2/deployments/{deployment_id}",
|
||||
headers=get_headers(),
|
||||
)
|
||||
|
||||
if response.status_code != 204:
|
||||
raise Exception(
|
||||
f"Failed to delete deployment ID {deployment_id}: {response.text}"
|
||||
)
|
||||
|
||||
print(f"Deployment ID {deployment_id} deleted")
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
# create deployment and get the latest revision
|
||||
deployment_id = create_deployment()
|
||||
revisions = list_revisions(deployment_id)
|
||||
latest_revision = revisions["resources"][0]
|
||||
latest_revision_id = latest_revision["id"]
|
||||
|
||||
# wait for latest revision to be DEPLOYED
|
||||
wait_for_deployment(deployment_id, latest_revision_id)
|
||||
|
||||
# patch the deployment and get the latest revision
|
||||
patch_deployment(deployment_id)
|
||||
revisions = list_revisions(deployment_id)
|
||||
latest_revision = revisions["resources"][0]
|
||||
latest_revision_id = latest_revision["id"]
|
||||
|
||||
# wait for latest revision to be DEPLOYED
|
||||
wait_for_deployment(deployment_id, latest_revision_id)
|
||||
|
||||
# delete the deployment
|
||||
delete_deployment(deployment_id)
|
||||
```
|
||||
@@ -1,544 +0,0 @@
|
||||
# LangGraph CLI
|
||||
|
||||
The LangGraph command line interface includes commands to build and run a LangGraph Platform API server locally in [Docker](https://www.docker.com/). For development and testing, you can use the CLI to deploy a local API server.
|
||||
|
||||
## Installation
|
||||
|
||||
1. Ensure that Docker is installed (e.g. `docker --version`).
|
||||
2. Install the CLI package:
|
||||
|
||||
=== "Python"
|
||||
```bash
|
||||
pip install langgraph-cli
|
||||
```
|
||||
|
||||
=== "JS"
|
||||
```bash
|
||||
npx @langchain/langgraph-cli
|
||||
|
||||
# Install globally, will be available as `langgraphjs`
|
||||
npm install -g @langchain/langgraph-cli
|
||||
```
|
||||
|
||||
3. Run the command `langgraph --help` or `npx @langchain/langgraph-cli --help` to confirm that the CLI is working correctly.
|
||||
|
||||
[](){#langgraph.json}
|
||||
|
||||
## Configuration File {#configuration-file}
|
||||
|
||||
The LangGraph CLI requires a JSON configuration file that follows this [schema](https://raw.githubusercontent.com/langchain-ai/langgraph/refs/heads/main/libs/cli/schemas/schema.json). It contains the following properties:
|
||||
|
||||
<div class="admonition tip">
|
||||
<p class="admonition-title">Note</p>
|
||||
<p>
|
||||
The LangGraph CLI defaults to using the configuration file <strong>langgraph.json</strong> in the current directory.
|
||||
</p>
|
||||
</div>
|
||||
|
||||
=== "Python"
|
||||
|
||||
| Key | Description |
|
||||
| ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| <span style="white-space: nowrap;">`dependencies`</span> | **Required**. Array of dependencies for LangGraph Platform API server. Dependencies can be one of the following: <ul><li>A single period (`"."`), which will look for local Python packages.</li><li>The directory path where `pyproject.toml`, `setup.py` or `requirements.txt` is located.</br></br>For example, if `requirements.txt` is located in the root of the project directory, specify `"./"`. If it's located in a subdirectory called `local_package`, specify `"./local_package"`. Do not specify the string `"requirements.txt"` itself.</li><li>A Python package name.</li></ul> |
|
||||
| <span style="white-space: nowrap;">`graphs`</span> | **Required**. Mapping from graph ID to path where the compiled graph or a function that makes a graph is defined. Example: <ul><li>`./your_package/your_file.py:variable`, where `variable` is an instance of `langgraph.graph.state.CompiledStateGraph`</li><li>`./your_package/your_file.py:make_graph`, where `make_graph` is a function that takes a config dictionary (`langchain_core.runnables.RunnableConfig`) and returns an instance of `langgraph.graph.state.StateGraph` or `langgraph.graph.state.CompiledStateGraph`. See [how to rebuild a graph at runtime](../../cloud/deployment/graph_rebuild.md) for more details.</li></ul> |
|
||||
| <span style="white-space: nowrap;">`auth`</span> | _(Added in v0.0.11)_ Auth configuration containing the path to your authentication handler. Example: `./your_package/auth.py:auth`, where `auth` is an instance of `langgraph_sdk.Auth`. See [authentication guide](../../concepts/auth.md) for details. |
|
||||
| <span style="white-space: nowrap;">`base_image`</span> | Optional. Base image to use for the LangGraph API server. Defaults to `langchain/langgraph-api` or `langchain/langgraphjs-api`. Use this to pin your builds to a particular version of the langgraph API, such as `"langchain/langgraph-server:0.2"`. See https://hub.docker.com/r/langchain/langgraph-server/tags for more details. (added in `langgraph-cli==0.2.8`) |
|
||||
| <span style="white-space: nowrap;">`image_distro`</span> | Optional. Linux distribution for the base image. Must be either `"debian"` or `"wolfi"`. If omitted, defaults to `"debian"`. Available in `langgraph-cli>=0.2.11`.|
|
||||
| <span style="white-space: nowrap;">`env`</span> | Path to `.env` file or a mapping from environment variable to its value. |
|
||||
| <span style="white-space: nowrap;">`store`</span> | Configuration for adding semantic search and/or time-to-live (TTL) to the BaseStore. Contains the following fields: <ul><li>`index` (optional): Configuration for semantic search indexing with fields `embed`, `dims`, and optional `fields`.</li><li>`ttl` (optional): Configuration for item expiration. An object with optional fields: `refresh_on_read` (boolean, defaults to `true`), `default_ttl` (float, lifespan in **minutes**, defaults to no expiration), and `sweep_interval_minutes` (integer, how often to check for expired items, defaults to no sweeping).</li></ul> |
|
||||
| <span style="white-space: nowrap;">`ui`</span> | Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file. (added in `langgraph-cli==0.1.84`) |
|
||||
| <span style="white-space: nowrap;">`python_version`</span> | `3.11`, `3.12`, or `3.13`. Defaults to `3.11`. |
|
||||
| <span style="white-space: nowrap;">`node_version`</span> | Specify `node_version: 20` to use LangGraph.js. |
|
||||
| <span style="white-space: nowrap;">`pip_config_file`</span> | Path to `pip` config file. |
|
||||
| <span style="white-space: nowrap;">`pip_installer`</span> | _(Added in v0.3)_ Optional. Python package installer selector. It can be set to `"auto"`, `"pip"`, or `"uv"`. From version 0.3 onward the default strategy is to run `uv pip`, which typically delivers faster builds while remaining a drop-in replacement. In the uncommon situation where `uv` cannot handle your dependency graph or the structure of your `pyproject.toml`, specify `"pip"` here to revert to the earlier behaviour. |
|
||||
| <span style="white-space: nowrap;">`keep_pkg_tools`</span> | _(Added in v0.3.4)_ Optional. Control whether to retain Python packaging tools (`pip`, `setuptools`, `wheel`) in the final image. Accepted values: <ul><li><code>true</code> : Keep all three tools (skip uninstall).</li><li><code>false</code> / omitted : Uninstall all three tools (default behaviour).</li><li><code>list[str]</code> : Names of tools <strong>to retain</strong>. Each value must be one of "pip", "setuptools", "wheel".</li></ul>. By default, all three tools are uninstalled. |
|
||||
| <span style="white-space: nowrap;">`dockerfile_lines`</span> | Array of additional lines to add to Dockerfile following the import from parent image. |
|
||||
| <span style="white-space: nowrap;">`checkpointer`</span> | Configuration for the checkpointer. Contains a `ttl` field which is an object with the following keys: <ul><li>`strategy`: How to handle expired checkpoints (e.g., `"delete"`).</li><li>`sweep_interval_minutes`: How often to check for expired checkpoints (integer).</li><li>`default_ttl`: Default time-to-live for checkpoints in **minutes** (integer). Defines how long checkpoints are kept before the specified strategy is applied.</li></ul> |
|
||||
| <span style="white-space: nowrap;">`http`</span> | HTTP server configuration with the following fields: <ul><li>`app`: Path to custom Starlette/FastAPI app (e.g., `"./src/agent/webapp.py:app"`). See [custom routes guide](../../how-tos/http/custom_routes.md).</li><li>`cors`: CORS configuration with fields for `allow_origins`, `allow_methods`, `allow_headers`, etc.</li><li>`configurable_headers`: Define which request headers to exclude or include as a run's configurable values.</li><li>`disable_assistants`: Disable `/assistants` routes</li><li>`disable_mcp`: Disable `/mcp` routes</li><li>`disable_meta`: Disable `/ok`, `/info`, `/metrics`, and `/docs` routes</li><li>`disable_runs`: Disable `/runs` routes</li><li>`disable_store`: Disable `/store` routes</li><li>`disable_threads`: Disable `/threads` routes</li><li>`disable_ui`: Disable `/ui` routes</li><li>`disable_webhooks`: Disable webhooks calls on run completion in all routes</li><li>`mount_prefix`: Prefix for mounted routes (e.g., "/my-deployment/api")</li></ul> |
|
||||
|
||||
=== "JS"
|
||||
|
||||
| Key | Description |
|
||||
| ------------------------------------------------------------ | ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- |
|
||||
| <span style="white-space: nowrap;">`graphs`</span> | **Required**. Mapping from graph ID to path where the compiled graph or a function that makes a graph is defined. Example: <ul><li>`./src/graph.ts:variable`, where `variable` is an instance of `CompiledStateGraph`</li><li>`./src/graph.ts:makeGraph`, where `makeGraph` is a function that takes a config dictionary (`LangGraphRunnableConfig`) and returns an instance of `StateGraph` or `CompiledStateGraph`. See [how to rebuild a graph at runtime](../../cloud/deployment/graph_rebuild.md) for more details.</li></ul> |
|
||||
| <span style="white-space: nowrap;">`env`</span> | Path to `.env` file or a mapping from environment variable to its value. |
|
||||
| <span style="white-space: nowrap;">`store`</span> | Configuration for adding semantic search and/or time-to-live (TTL) to the BaseStore. Contains the following fields: <ul><li>`index` (optional): Configuration for semantic search indexing with fields `embed`, `dims`, and optional `fields`.</li><li>`ttl` (optional): Configuration for item expiration. An object with optional fields: `refresh_on_read` (boolean, defaults to `true`), `default_ttl` (float, lifespan in **minutes**, defaults to no expiration), and `sweep_interval_minutes` (integer, how often to check for expired items, defaults to no sweeping).</li></ul> |
|
||||
| <span style="white-space: nowrap;">`node_version`</span> | Specify `node_version: 20` to use LangGraph.js. |
|
||||
| <span style="white-space: nowrap;">`dockerfile_lines`</span> | Array of additional lines to add to Dockerfile following the import from parent image. |
|
||||
| <span style="white-space: nowrap;">`checkpointer`</span> | Configuration for the checkpointer. Contains a `ttl` field which is an object with the following keys: <ul><li>`strategy`: How to handle expired checkpoints (e.g., `"delete"`).</li><li>`sweep_interval_minutes`: How often to check for expired checkpoints (integer).</li><li>`default_ttl`: Default time-to-live for checkpoints in **minutes** (integer). Defines how long checkpoints are kept before the specified strategy is applied.</li></ul> |
|
||||
|
||||
### Examples
|
||||
|
||||
=== "Python"
|
||||
|
||||
#### Basic Configuration
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": ["."],
|
||||
"graphs": {
|
||||
"chat": "./chat/graph.py:graph"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Using Wolfi Base Images
|
||||
|
||||
You can specify the Linux distribution for your base image using the `image_distro` field. Valid options are `debian` or `wolfi`. Wolfi is the recommended option as it provides smaller and more secure images. This is available in `langgraph-cli>=0.2.11`.
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": ["."],
|
||||
"graphs": {
|
||||
"chat": "./chat/graph.py:graph"
|
||||
},
|
||||
"image_distro": "wolfi"
|
||||
}
|
||||
```
|
||||
|
||||
#### Adding semantic search to the store
|
||||
|
||||
All deployments come with a DB-backed BaseStore. Adding an "index" configuration to your `langgraph.json` will enable [semantic search](../deployment/semantic_search.md) within the BaseStore of your deployment.
|
||||
|
||||
The `index.fields` configuration determines which parts of your documents to embed:
|
||||
|
||||
- If omitted or set to `["$"]`, the entire document will be embedded
|
||||
- To embed specific fields, use JSON path notation: `["metadata.title", "content.text"]`
|
||||
- Documents missing specified fields will still be stored but won't have embeddings for those fields
|
||||
- You can still override which fields to embed on a specific item at `put` time using the `index` parameter
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": ["."],
|
||||
"graphs": {
|
||||
"memory_agent": "./agent/graph.py:graph"
|
||||
},
|
||||
"store": {
|
||||
"index": {
|
||||
"embed": "openai:text-embedding-3-small",
|
||||
"dims": 1536,
|
||||
"fields": ["$"]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
!!! note "Common model dimensions"
|
||||
- `openai:text-embedding-3-large`: 3072
|
||||
- `openai:text-embedding-3-small`: 1536
|
||||
- `openai:text-embedding-ada-002`: 1536
|
||||
- `cohere:embed-english-v3.0`: 1024
|
||||
- `cohere:embed-english-light-v3.0`: 384
|
||||
- `cohere:embed-multilingual-v3.0`: 1024
|
||||
- `cohere:embed-multilingual-light-v3.0`: 384
|
||||
|
||||
#### Semantic search with a custom embedding function
|
||||
|
||||
If you want to use semantic search with a custom embedding function, you can pass a path to a custom embedding function:
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": ["."],
|
||||
"graphs": {
|
||||
"memory_agent": "./agent/graph.py:graph"
|
||||
},
|
||||
"store": {
|
||||
"index": {
|
||||
"embed": "./embeddings.py:embed_texts",
|
||||
"dims": 768,
|
||||
"fields": ["text", "summary"]
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
The `embed` field in store configuration can reference a custom function that takes a list of strings and returns a list of embeddings. Example implementation:
|
||||
|
||||
```python
|
||||
# embeddings.py
|
||||
def embed_texts(texts: list[str]) -> list[list[float]]:
|
||||
"""Custom embedding function for semantic search."""
|
||||
# Implementation using your preferred embedding model
|
||||
return [[0.1, 0.2, ...] for _ in texts] # dims-dimensional vectors
|
||||
```
|
||||
|
||||
#### Adding custom authentication
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": ["."],
|
||||
"graphs": {
|
||||
"chat": "./chat/graph.py:graph"
|
||||
},
|
||||
"auth": {
|
||||
"path": "./auth.py:auth",
|
||||
"openapi": {
|
||||
"securitySchemes": {
|
||||
"apiKeyAuth": {
|
||||
"type": "apiKey",
|
||||
"in": "header",
|
||||
"name": "X-API-Key"
|
||||
}
|
||||
},
|
||||
"security": [{ "apiKeyAuth": [] }]
|
||||
},
|
||||
"disable_studio_auth": false
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
See the [authentication conceptual guide](../../concepts/auth.md) for details, and the [setting up custom authentication](../../tutorials/auth/getting_started.md) guide for a practical walk through of the process.
|
||||
|
||||
#### Configuring Store Item Time-to-Live (TTL)
|
||||
|
||||
You can configure default data expiration for items/memories in the BaseStore using the `store.ttl` key. This determines how long items are retained after they are last accessed (with reads potentially refreshing the timer based on `refresh_on_read`). Note that these defaults can be overwritten on a per-call basis by modifying the corresponding arguments in `get`, `search`, etc.
|
||||
|
||||
The `ttl` configuration is an object containing optional fields:
|
||||
|
||||
- `refresh_on_read`: If `true` (the default), accessing an item via `get` or `search` resets its expiration timer. Set to `false` to only refresh TTL on writes (`put`).
|
||||
- `default_ttl`: The default lifespan of an item in **minutes**. If not set, items do not expire by default.
|
||||
- `sweep_interval_minutes`: How frequently (in minutes) the system should run a background process to delete expired items. If not set, sweeping does not occur automatically.
|
||||
|
||||
Here is an example enabling a 7-day TTL (10080 minutes), refreshing on reads, and sweeping every hour:
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": ["."],
|
||||
"graphs": {
|
||||
"memory_agent": "./agent/graph.py:graph"
|
||||
},
|
||||
"store": {
|
||||
"ttl": {
|
||||
"refresh_on_read": true,
|
||||
"sweep_interval_minutes": 60,
|
||||
"default_ttl": 10080
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
#### Configuring Checkpoint Time-to-Live (TTL)
|
||||
|
||||
You can configure the time-to-live (TTL) for checkpoints using the `checkpointer` key. This determines how long checkpoint data is retained before being automatically handled according to the specified strategy (e.g., deletion). The `ttl` configuration is an object containing:
|
||||
|
||||
- `strategy`: The action to take on expired checkpoints (currently `"delete"` is the only accepted option).
|
||||
- `sweep_interval_minutes`: How frequently (in minutes) the system checks for expired checkpoints.
|
||||
- `default_ttl`: The default lifespan of a checkpoint in **minutes**.
|
||||
|
||||
Here's an example setting a default TTL of 30 days (43200 minutes):
|
||||
|
||||
```json
|
||||
{
|
||||
"dependencies": ["."],
|
||||
"graphs": {
|
||||
"chat": "./chat/graph.py:graph"
|
||||
},
|
||||
"checkpointer": {
|
||||
"ttl": {
|
||||
"strategy": "delete",
|
||||
"sweep_interval_minutes": 10,
|
||||
"default_ttl": 43200
|
||||
}
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
In this example, checkpoints older than 30 days will be deleted, and the check runs every 10 minutes.
|
||||
|
||||
|
||||
=== "JS"
|
||||
|
||||
#### Basic Configuration
|
||||
|
||||
```json
|
||||
{
|
||||
"graphs": {
|
||||
"chat": "./src/graph.ts:graph"
|
||||
}
|
||||
}
|
||||
```
|
||||
|
||||
|
||||
## Commands
|
||||
|
||||
**Usage**
|
||||
|
||||
=== "Python"
|
||||
|
||||
The base command for the LangGraph CLI is `langgraph`.
|
||||
|
||||
```
|
||||
langgraph [OPTIONS] COMMAND [ARGS]
|
||||
```
|
||||
=== "JS"
|
||||
|
||||
The base command for the LangGraph.js CLI is `langgraphjs`.
|
||||
|
||||
```
|
||||
npx @langchain/langgraph-cli [OPTIONS] COMMAND [ARGS]
|
||||
```
|
||||
|
||||
We recommend using `npx` to always use the latest version of the CLI.
|
||||
|
||||
### `dev`
|
||||
|
||||
=== "Python"
|
||||
|
||||
Run LangGraph API server in development mode with hot reloading and debugging capabilities. This lightweight server requires no Docker installation and is suitable for development and testing. State is persisted to a local directory.
|
||||
|
||||
!!! note
|
||||
|
||||
Currently, the CLI only supports Python >= 3.11.
|
||||
|
||||
**Installation**
|
||||
|
||||
This command requires the "inmem" extra to be installed:
|
||||
|
||||
```bash
|
||||
pip install -U "langgraph-cli[inmem]"
|
||||
```
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
langgraph dev [OPTIONS]
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| ----------------------------- | ---------------- | ----------------------------------------------------------------------------------- |
|
||||
| `-c, --config FILE` | `langgraph.json` | Path to configuration file declaring dependencies, graphs and environment variables |
|
||||
| `--host TEXT` | `127.0.0.1` | Host to bind the server to |
|
||||
| `--port INTEGER` | `2024` | Port to bind the server to |
|
||||
| `--no-reload` | | Disable auto-reload |
|
||||
| `--n-jobs-per-worker INTEGER` | | Number of jobs per worker. Default is 10 |
|
||||
| `--debug-port INTEGER` | | Port for debugger to listen on |
|
||||
| `--wait-for-client` | `False` | Wait for a debugger client to connect to the debug port before starting the server |
|
||||
| `--no-browser` | | Skip automatically opening the browser when the server starts |
|
||||
| `--studio-url TEXT` | | URL of the LangGraph Studio instance to connect to. Defaults to https://smith.langchain.com |
|
||||
| `--allow-blocking` | `False` | Do not raise errors for synchronous I/O blocking operations in your code (added in `0.2.6`) |
|
||||
| `--tunnel` | `False` | Expose the local server via a public tunnel (Cloudflare) for remote frontend access. This avoids issues with browsers like Safari or networks blocking localhost connections |
|
||||
| `--help` | | Display command documentation |
|
||||
|
||||
|
||||
=== "JS"
|
||||
|
||||
Run LangGraph API server in development mode with hot reloading capabilities. This lightweight server requires no Docker installation and is suitable for development and testing. State is persisted to a local directory.
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
npx @langchain/langgraph-cli dev [OPTIONS]
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| ----------------------------- | ---------------- | ----------------------------------------------------------------------------------- |
|
||||
| `-c, --config FILE` | `langgraph.json` | Path to configuration file declaring dependencies, graphs and environment variables |
|
||||
| `--host TEXT` | `127.0.0.1` | Host to bind the server to |
|
||||
| `--port INTEGER` | `2024` | Port to bind the server to |
|
||||
| `--no-reload` | | Disable auto-reload |
|
||||
| `--n-jobs-per-worker INTEGER` | | Number of jobs per worker. Default is 10 |
|
||||
| `--debug-port INTEGER` | | Port for debugger to listen on |
|
||||
| `--wait-for-client` | `False` | Wait for a debugger client to connect to the debug port before starting the server |
|
||||
| `--no-browser` | | Skip automatically opening the browser when the server starts |
|
||||
| `--studio-url TEXT` | | URL of the LangGraph Studio instance to connect to. Defaults to https://smith.langchain.com |
|
||||
| `--allow-blocking` | `False` | Do not raise errors for synchronous I/O blocking operations in your code |
|
||||
| `--tunnel` | `False` | Expose the local server via a public tunnel (Cloudflare) for remote frontend access. This avoids issues with browsers or networks blocking localhost connections |
|
||||
| `--help` | | Display command documentation |
|
||||
|
||||
### `build`
|
||||
|
||||
=== "Python"
|
||||
|
||||
Build LangGraph Platform API server Docker image.
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
langgraph build [OPTIONS]
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| -------------------- | ---------------- | --------------------------------------------------------------------------------------------------------------- |
|
||||
| `--platform TEXT` | | Target platform(s) to build the Docker image for. Example: `langgraph build --platform linux/amd64,linux/arm64` |
|
||||
| `-t, --tag TEXT` | | **Required**. Tag for the Docker image. Example: `langgraph build -t my-image` |
|
||||
| `--pull / --no-pull` | `--pull` | Build with latest remote Docker image. Use `--no-pull` for running the LangGraph Platform API server with locally built images. |
|
||||
| `-c, --config FILE` | `langgraph.json` | Path to configuration file declaring dependencies, graphs and environment variables. |
|
||||
| `--help` | | Display command documentation. |
|
||||
|
||||
=== "JS"
|
||||
|
||||
Build LangGraph Platform API server Docker image.
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
npx @langchain/langgraph-cli build [OPTIONS]
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| -------------------- | ---------------- | --------------------------------------------------------------------------------------------------------------- |
|
||||
| `--platform TEXT` | | Target platform(s) to build the Docker image for. Example: `langgraph build --platform linux/amd64,linux/arm64` |
|
||||
| `-t, --tag TEXT` | | **Required**. Tag for the Docker image. Example: `langgraph build -t my-image` |
|
||||
| `--no-pull` | | Use locally built images. Defaults to `false` to build with latest remote Docker image. |
|
||||
| `-c, --config FILE` | `langgraph.json` | Path to configuration file declaring dependencies, graphs and environment variables. |
|
||||
| `--help` | | Display command documentation. |
|
||||
|
||||
|
||||
### `up`
|
||||
|
||||
=== "Python"
|
||||
|
||||
Start LangGraph API server. For local testing, requires a LangSmith API key with access to LangGraph Platform. Requires a license key for production use.
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
langgraph up [OPTIONS]
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| ---------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
|
||||
| `--wait` | | Wait for services to start before returning. Implies --detach |
|
||||
| `--base-image TEXT` | `langchain/langgraph-api` | Base image to use for the LangGraph API server. Pin to specific versions using version tags. |
|
||||
| `--image TEXT` | | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. |
|
||||
| `--postgres-uri TEXT` | Local database | Postgres URI to use for the database. |
|
||||
| `--watch` | | Restart on file changes |
|
||||
| `--debugger-base-url TEXT` | `http://127.0.0.1:[PORT]` | URL used by the debugger to access LangGraph API. |
|
||||
| `--debugger-port INTEGER` | | Pull the debugger image locally and serve the UI on specified port |
|
||||
| `--verbose` | | Show more output from the server logs. |
|
||||
| `-c, --config FILE` | `langgraph.json` | Path to configuration file declaring dependencies, graphs and environment variables. |
|
||||
| `-d, --docker-compose FILE` | | Path to docker-compose.yml file with additional services to launch. |
|
||||
| `-p, --port INTEGER` | `8123` | Port to expose. Example: `langgraph up --port 8000` |
|
||||
| `--pull / --no-pull` | `pull` | Pull latest images. Use `--no-pull` for running the server with locally-built images. Example: `langgraph up --no-pull` |
|
||||
| `--recreate / --no-recreate` | `no-recreate` | Recreate containers even if their configuration and image haven't changed |
|
||||
| `--help` | | Display command documentation. |
|
||||
|
||||
=== "JS"
|
||||
|
||||
Start LangGraph API server. For local testing, requires a LangSmith API key with access to LangGraph Platform. Requires a license key for production use.
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
npx @langchain/langgraph-cli up [OPTIONS]
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| ---------------------------------------------------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
|
||||
| <span style="white-space: nowrap;">`--wait`</span> | | Wait for services to start before returning. Implies --detach |
|
||||
| <span style="white-space: nowrap;">`--base-image TEXT`</span> | <span style="white-space: nowrap;">`langchain/langgraph-api`</span> | Base image to use for the LangGraph API server. Pin to specific versions using version tags. |
|
||||
| <span style="white-space: nowrap;">`--image TEXT`</span> | | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. |
|
||||
| <span style="white-space: nowrap;">`--postgres-uri TEXT`</span> | Local database | Postgres URI to use for the database. |
|
||||
| <span style="white-space: nowrap;">`--watch`</span> | | Restart on file changes |
|
||||
| <span style="white-space: nowrap;">`-c, --config FILE`</span> | `langgraph.json` | Path to configuration file declaring dependencies, graphs and environment variables. |
|
||||
| <span style="white-space: nowrap;">`-d, --docker-compose FILE`</span> | | Path to docker-compose.yml file with additional services to launch. |
|
||||
| <span style="white-space: nowrap;">`-p, --port INTEGER`</span> | `8123` | Port to expose. Example: `langgraph up --port 8000` |
|
||||
| <span style="white-space: nowrap;">`--no-pull`</span> | | Use locally built images. Defaults to `false` to build with latest remote Docker image. |
|
||||
| <span style="white-space: nowrap;">`--recreate`</span> | | Recreate containers even if their configuration and image haven't changed |
|
||||
| <span style="white-space: nowrap;">`--help`</span> | | Display command documentation. |
|
||||
|
||||
### `dockerfile`
|
||||
|
||||
=== "Python"
|
||||
|
||||
Generate a Dockerfile for building a LangGraph Platform API server Docker image.
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
langgraph dockerfile [OPTIONS] SAVE_PATH
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| ------------------- | ---------------- | --------------------------------------------------------------------------------------------------------------- |
|
||||
| `-c, --config FILE` | `langgraph.json` | Path to the [configuration file](#configuration-file) declaring dependencies, graphs and environment variables. |
|
||||
| `--help` | | Show this message and exit. |
|
||||
|
||||
Example:
|
||||
|
||||
```bash
|
||||
langgraph dockerfile -c langgraph.json Dockerfile
|
||||
```
|
||||
|
||||
This generates a Dockerfile that looks similar to:
|
||||
|
||||
```dockerfile
|
||||
FROM langchain/langgraph-api:3.11
|
||||
|
||||
ADD ./pipconf.txt /pipconfig.txt
|
||||
|
||||
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt langchain_community langchain_anthropic langchain_openai wikipedia scikit-learn
|
||||
|
||||
ADD ./graphs /deps/__outer_graphs/src
|
||||
RUN set -ex && \
|
||||
for line in '[project]' \
|
||||
'name = "graphs"' \
|
||||
'version = "0.1"' \
|
||||
'[tool.setuptools.package-data]' \
|
||||
'"*" = ["**/*"]'; do \
|
||||
echo "$line" >> /deps/__outer_graphs/pyproject.toml; \
|
||||
done
|
||||
|
||||
RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 pip install --no-cache-dir -c /api/constraints.txt -e /deps/*
|
||||
|
||||
ENV LANGSERVE_GRAPHS='{"agent": "/deps/__outer_graphs/src/agent.py:graph", "storm": "/deps/__outer_graphs/src/storm.py:graph"}'
|
||||
```
|
||||
|
||||
???+ note "Updating your langgraph.json file"
|
||||
The `langgraph dockerfile` command translates all the configuration in your `langgraph.json` file into Dockerfile commands. When using this command, you will have to re-run it whenever you update your `langgraph.json` file. Otherwise, your changes will not be reflected when you build or run the dockerfile.
|
||||
|
||||
=== "JS"
|
||||
|
||||
Generate a Dockerfile for building a LangGraph Platform API server Docker image.
|
||||
|
||||
**Usage**
|
||||
|
||||
```
|
||||
npx @langchain/langgraph-cli dockerfile [OPTIONS] SAVE_PATH
|
||||
```
|
||||
|
||||
**Options**
|
||||
|
||||
| Option | Default | Description |
|
||||
| ------------------- | ---------------- | --------------------------------------------------------------------------------------------------------------- |
|
||||
| `-c, --config FILE` | `langgraph.json` | Path to the [configuration file](#configuration-file) declaring dependencies, graphs and environment variables. |
|
||||
| `--help` | | Show this message and exit. |
|
||||
|
||||
Example:
|
||||
|
||||
```bash
|
||||
npx @langchain/langgraph-cli dockerfile -c langgraph.json Dockerfile
|
||||
```
|
||||
|
||||
This generates a Dockerfile that looks similar to:
|
||||
|
||||
```dockerfile
|
||||
FROM langchain/langgraphjs-api:20
|
||||
|
||||
ADD . /deps/agent
|
||||
|
||||
RUN cd /deps/agent && yarn install
|
||||
|
||||
ENV LANGSERVE_GRAPHS='{"agent":"./src/react_agent/graph.ts:graph"}'
|
||||
|
||||
WORKDIR /deps/agent
|
||||
|
||||
RUN (test ! -f /api/langgraph_api/js/build.mts && echo "Prebuild script not found, skipping") || tsx /api/langgraph_api/js/build.mts
|
||||
```
|
||||
|
||||
???+ note "Updating your langgraph.json file"
|
||||
The `npx @langchain/langgraph-cli dockerfile` command translates all the configuration in your `langgraph.json` file into Dockerfile commands. When using this command, you will have to re-run it whenever you update your `langgraph.json` file. Otherwise, your changes will not be reflected when you build or run the dockerfile.
|
||||
@@ -1,150 +0,0 @@
|
||||
# Environment Variables
|
||||
|
||||
The LangGraph Server supports specific environment variables for configuring a deployment.
|
||||
|
||||
## `BG_JOB_ISOLATED_LOOPS`
|
||||
|
||||
Set `BG_JOB_ISOLATED_LOOPS` to `True` to execute background runs in an isolated event loop separate from the serving API event loop.
|
||||
|
||||
This environment variable should be set to `True` if the implementation of a graph/node contains synchronous code. In this situation, the synchronous code will block the serving API event loop, which may cause the API to be unavailable. A symptom of an unavailable API is continuous application restarts due to failing health checks.
|
||||
|
||||
Defaults to `False`.
|
||||
|
||||
## `BG_JOB_SHUTDOWN_GRACE_PERIOD_SECS`
|
||||
|
||||
Specifies, in seconds, how long the server will wait for background jobs to finish after the queue receives a shutdown signal. After this period, the server will force termination. Defaults to `180` seconds. Set this to ensure jobs have enough time to complete cleanly during shutdown. Added in `langgraph-api==0.2.16`.
|
||||
|
||||
## `BG_JOB_TIMEOUT_SECS`
|
||||
|
||||
The timeout of a background run can be increased. However, the infrastructure for a Cloud SaaS deployment enforces a 1 hour timeout limit for API requests. This means the connection between client and server will timeout after 1 hour. This is not configurable.
|
||||
|
||||
A background run can execute for longer than 1 hour, but a client must reconnect to the server (e.g. join stream via `POST /threads/{thread_id}/runs/{run_id}/stream`) to retrieve output from the run if the run is taking longer than 1 hour.
|
||||
|
||||
Defaults to `3600`.
|
||||
|
||||
## `DD_API_KEY`
|
||||
|
||||
Specify `DD_API_KEY` (your [Datadog API Key](https://docs.datadoghq.com/account_management/api-app-keys/)) to automatically enable Datadog tracing for the deployment. Specify other [`DD_*` environment variables](https://ddtrace.readthedocs.io/en/stable/configuration.html) to configure the tracing instrumentation.
|
||||
|
||||
If `DD_API_KEY` is specified, the application process is wrapped in the [`ddtrace-run` command](https://ddtrace.readthedocs.io/en/stable/installation_quickstart.html). Other `DD_*` environment variables (e.g. `DD_SITE`, `DD_ENV`, `DD_SERVICE`, `DD_TRACE_ENABLED`) are typically needed to properly configure the tracing instrumentation. See [`DD_*` environment variables](https://ddtrace.readthedocs.io/en/stable/configuration.html) for more details.
|
||||
|
||||
!!! note
|
||||
Enabling `DD_API_KEY` (and thus `ddtrace-run`) can override or interfere with other auto-instrumentation solutions (such as OpenTelemetry) that you may have instrumented into your application code.
|
||||
|
||||
## `LANGCHAIN_TRACING_SAMPLING_RATE`
|
||||
|
||||
Sampling rate for traces sent to LangSmith. Valid values: Any float between `0` and `1`.
|
||||
|
||||
See <a href="https://docs.smith.langchain.com/how_to_guides/tracing/sample_traces" target="_blank">LangSmith documentation</a> for more details.
|
||||
|
||||
## `LANGGRAPH_AUTH_TYPE`
|
||||
|
||||
Type of authentication for the LangGraph Server deployment. Valid values: `langsmith`, `noop`.
|
||||
|
||||
For deployments to LangGraph Platform, this environment variable is set automatically. For local development or deployments where authentication is handled externally (e.g. self-hosted), set this environment variable to `noop`.
|
||||
|
||||
## `LANGGRAPH_POSTGRES_POOL_MAX_SIZE`
|
||||
|
||||
Beginning with langgraph-api version `0.2.12`, the maximum size of the Postgres connection pool (per replica) can be controlled using the `LANGGRAPH_POSTGRES_POOL_MAX_SIZE` environment variable. By setting this variable, you can determine the upper bound on the number of simultaneous connections the server will establish with the Postgres database.
|
||||
|
||||
For example, if a deployment is scaled up to 10 replicas and `LANGGRAPH_POSTGRES_POOL_MAX_SIZE` is configured to `150`, then up to `1500` connections to Postgres can be established. This is particularly useful for deployments where database resources are limited (or more available) or where you need to tune connection behavior for performance or scaling reasons.
|
||||
|
||||
Defaults to `150` connections.
|
||||
|
||||
## `LANGSMITH_RUNS_ENDPOINTS`
|
||||
|
||||
For deployments with [self-hosted LangSmith](https://docs.smith.langchain.com/self_hosting) only.
|
||||
|
||||
Set this environment variable to have a deployment send traces to a self-hosted LangSmith instance. The value of `LANGSMITH_RUNS_ENDPOINTS` is a JSON string: `{"<SELF_HOSTED_LANGSMITH_HOSTNAME>":"<LANGSMITH_API_KEY>"}`.
|
||||
|
||||
`SELF_HOSTED_LANGSMITH_HOSTNAME` is the hostname of the self-hosted LangSmith instance. It must be accessible to the deployment. `LANGSMITH_API_KEY` is a LangSmith API generated from the self-hosted LangSmith instance.
|
||||
|
||||
## `LANGSMITH_TRACING`
|
||||
|
||||
Set `LANGSMITH_TRACING` to `false` to disable tracing to LangSmith.
|
||||
|
||||
Defaults to `true`.
|
||||
|
||||
## `LOG_COLOR`
|
||||
|
||||
This is mainly relevant in the context of using the dev server via the `langgraph dev` command. Set `LOG_COLOR` to `true` to enable ANSI-colored console output when using the default console renderer. Disabling color output by setting this variable to `false` produces monochrome logs. Defaults to `true`.
|
||||
|
||||
## `LOG_LEVEL`
|
||||
|
||||
Configure [log level](https://docs.python.org/3/library/logging.html#logging-levels). Defaults to `INFO`.
|
||||
|
||||
## `LOG_JSON`
|
||||
|
||||
Set `LOG_JSON` to `true` to render all log messages as JSON objects using the configured `JSONRenderer`. This produces structured logs that can be easily parsed or ingested by log management systems. Defaults to `false`.
|
||||
|
||||
## `MOUNT_PREFIX`
|
||||
|
||||
!!! info "Only Allowed in Self-Hosted Deployments"
|
||||
The `MOUNT_PREFIX` environment variable is only allowed in Self-Hosted Deployment models, LangGraph Platform SaaS will not allow this environment variable.
|
||||
|
||||
Set `MOUNT_PREFIX` to serve the LangGraph Server under a specific path prefix. This is useful for deployments where the server is behind a reverse proxy or load balancer that requires a specific path prefix.
|
||||
|
||||
For example, if the server is to be served under `https://example.com/langgraph`, set `MOUNT_PREFIX` to `/langgraph`.
|
||||
|
||||
## `N_JOBS_PER_WORKER`
|
||||
|
||||
Number of jobs per worker for the LangGraph Server task queue. Defaults to `10`.
|
||||
|
||||
## `POSTGRES_URI_CUSTOM`
|
||||
|
||||
!!! info "Only for Self-Hosted Data Plane and Self-Hosted Control Plane"
|
||||
Custom Postgres instances are only available for [Self-Hosted Data Plane](../../concepts/langgraph_self_hosted_data_plane.md) and [Self-Hosted Control Plane](../../concepts/langgraph_self_hosted_control_plane.md) deployments.
|
||||
|
||||
Specify `POSTGRES_URI_CUSTOM` to use a custom Postgres instance. The value of `POSTGRES_URI_CUSTOM` must be a valid [Postgres connection URI](https://www.postgresql.org/docs/current/libpq-connect.html#LIBPQ-CONNSTRING-URIS).
|
||||
|
||||
Postgres:
|
||||
|
||||
- Version 15.8 or higher.
|
||||
- An initial database must be present and the connection URI must reference the database.
|
||||
|
||||
Control Plane Functionality:
|
||||
|
||||
- If `POSTGRES_URI_CUSTOM` is specified, the LangGraph Control Plane will not provision a database for the server.
|
||||
- If `POSTGRES_URI_CUSTOM` is removed, the LangGraph Control Plane will not provision a database for the server and will not delete the externally managed Postgres instance.
|
||||
- If `POSTGRES_URI_CUSTOM` is removed, deployment of the revision will not succeed. Once `POSTGRES_URI_CUSTOM` is specified, it must always be set for the lifecycle of the deployment.
|
||||
- If the deployment is deleted, the LangGraph Control Plane will not delete the externally managed Postgres instance.
|
||||
- The value of `POSTGRES_URI_CUSTOM` can be updated. For example, a password in the URI can be updated.
|
||||
|
||||
Database Connectivity:
|
||||
|
||||
- The custom Postgres instance must be accessible by the LangGraph Server. The user is responsible for ensuring connectivity.
|
||||
|
||||
## `REDIS_CLUSTER`
|
||||
|
||||
!!! info "Only Allowed in Self-Hosted Deployments"
|
||||
Redis Cluster mode is only available in Self-Hosted Deployment models, LangGraph Platform SaaS will provision a redis instance for you by default.
|
||||
|
||||
Set `REDIS_CLUSTER` to `True` to enable Redis Cluster mode. When enabled, the system will connect to Redis using cluster mode. This is useful when connecting to a Redis Cluster deployment.
|
||||
|
||||
Defaults to `False`.
|
||||
|
||||
## `REDIS_KEY_PREFIX`
|
||||
|
||||
!!! info "Available in API Server version 0.1.9+"
|
||||
This environment variable is supported in API Server version 0.1.9 and above.
|
||||
|
||||
Specify a prefix for Redis keys. This allows multiple LangGraph Server instances to share the same Redis instance by using different key prefixes.
|
||||
|
||||
Defaults to `''`.
|
||||
|
||||
## `REDIS_URI_CUSTOM`
|
||||
|
||||
!!! info "Only for Self-Hosted Data Plane and Self-Hosted Control Plane"
|
||||
Custom Redis instances are only available for [Self-Hosted Data Plane](../../concepts/langgraph_self_hosted_data_plane.md) and [Self-Hosted Control Plane](../../concepts/langgraph_self_hosted_control_plane.md) deployments.
|
||||
|
||||
Specify `REDIS_URI_CUSTOM` to use a custom Redis instance. The value of `REDIS_URI_CUSTOM` must be a valid [Redis connection URI](https://redis-py.readthedocs.io/en/stable/connections.html#redis.Redis.from_url).
|
||||
|
||||
## `RESUMABLE_STREAM_TTL_SECONDS`
|
||||
|
||||
Time-to-live in seconds for resumable stream data in Redis.
|
||||
|
||||
When a run is created and the output is streamed, the stream can be configured to be resumable (e.g. `stream_resumable=True`). If a stream is resumable, output from the stream is temporarily stored in Redis. The TTL for this data can be configured by setting `RESUMABLE_STREAM_TTL_SECONDS`.
|
||||
|
||||
See the [Python](https://langchain-ai.github.io/langgraph/cloud/reference/sdk/python_sdk_ref/#langgraph_sdk.client.RunsClient.stream) and [JS/TS](https://langchain-ai.github.io/langgraphjs/reference/classes/sdk_client.RunsClient.html#stream) SDKs for more details on how to implement resumable streams.
|
||||
|
||||
Defaults to `120` seconds.
|
||||
@@ -1,231 +0,0 @@
|
||||
# LangGraph Server Changelog
|
||||
|
||||
[LangGraph Server](../../concepts/langgraph_server.md) is an API platform for creating and managing agent-based applications. It provides built-in persistence, a task queue, and supports deploying, configuring, and running assistants (agentic workflows) at scale. This changelog documents all notable updates, features, and fixes to LangGraph Server releases.
|
||||
|
||||
---
|
||||
|
||||
## v0.2.111 (2025-07-29)
|
||||
- Started the heartbeat immediately upon connection to prevent JS graph streaming errors during long startups.
|
||||
|
||||
## v0.2.110 (2025-07-29)
|
||||
- Added interrupts as default values for all operations except streams to maintain consistent behavior.
|
||||
|
||||
## v0.2.109 (2025-07-28)
|
||||
- Fixed an issue where missing config schema occurred when `config_type` was not set.
|
||||
|
||||
## v0.2.108 (2025-07-28)
|
||||
- Added compatibility for langgraph v0.6, including new context API support and a migration to enhance context handling in assistant operations.
|
||||
|
||||
## v0.2.107 (2025-07-27)
|
||||
- Implemented caching for authentication processes to improve performance.
|
||||
- Merged count and select queries to improve database query efficiency.
|
||||
|
||||
## v0.2.106 (2025-07-27)
|
||||
- Log whether run uses resumable streams.
|
||||
|
||||
## v0.2.105 (2025-07-27)
|
||||
- Added a `/heapdump` endpoint to capture and save JS process heap data.
|
||||
|
||||
## v0.2.103 (2025-07-25)
|
||||
- Corrected the metadata endpoint to ensure accurate data retrieval.
|
||||
|
||||
## v0.2.102 (2025-07-24)
|
||||
- Captured interrupt events in the wait method to preserve legacy behavior and stream updates by default.
|
||||
- Added support for SDK structlog in the JavaScript environment, enhancing logging capabilities.
|
||||
|
||||
## v0.2.101 (2025-07-24)
|
||||
- Used the correct metadata endpoint for self-hosted environments, resolving an access issue.
|
||||
|
||||
## v0.2.99 (2025-07-22)
|
||||
- Improved license validation by adding an in-memory cache and handling Redis connection errors more effectively.
|
||||
- Automatically remove agents from memory that are removed from `langgraph.json` to prevent persistence issues.
|
||||
- Ensured the UI namespace for generated UI is a valid JavaScript property name to prevent errors.
|
||||
- Raised a 422 error for improved request validation feedback.
|
||||
|
||||
## v0.2.98 (2025-07-19)
|
||||
- Added langgraph node context for improved log filtering and trace visibility.
|
||||
|
||||
## v0.2.97 (2025-07-19)
|
||||
- Fixed scheduling issue with ckpt ingestion worker that occurred on isolated background loops.
|
||||
- Ensured queue worker starts only after all migrations have completed.
|
||||
- Added more detailed error messages for thread state issues and improved response handling when state updates fail.
|
||||
- Exposed interrupt ID while retrieving thread state for enhanced API response details.
|
||||
|
||||
## v0.2.96 (2025-07-17)
|
||||
- Added a fallback mechanism for configurable header patterns to handle exclude/include settings more effectively.
|
||||
|
||||
## v0.2.95 (2025-07-17)
|
||||
- Avoided setting the future if it is already done to prevent redundant operations.
|
||||
- Resolved compatibility errors in CI by switching from `typing.TypedDict` to `typing_extensions.TypedDict` for Python versions below 3.12.
|
||||
|
||||
## v0.2.94 (2025-07-16)
|
||||
- Improved performance by omitting pending sends for langgraph versions 0.5 and above.
|
||||
- Improved server startup logs to provide clearer warnings when the DD_API_KEY environment variable is set.
|
||||
|
||||
## v0.2.93 (2025-07-16)
|
||||
- Removed the GIN index for run metadata to improve performance.
|
||||
|
||||
## v0.2.92 (2025-07-16)
|
||||
- Enabled copying functionality for blobs and checkpoints, improving data management flexibility.
|
||||
|
||||
## v0.2.91 (2025-07-16)
|
||||
- Reduced writes to the `checkpoint_blobs` table by inlining small values (null, numeric, str, etc.). This means we don't need to store extra values for channels that haven't been updated.
|
||||
|
||||
## v0.2.90 (2025-07-16)
|
||||
- Improve checkpoint writes via node-local background queueing.
|
||||
|
||||
|
||||
## v0.2.89 (2025-07-15)
|
||||
- Decoupled checkpoint writing from thread/run state by removing foreign keys and updated logger to prevent timeout-related failures.
|
||||
|
||||
## v0.2.88 (2025-07-14)
|
||||
- Removed the foreign key constraint for `thread` in the `run` table to simplify database schema.
|
||||
|
||||
## v0.2.87 (2025-07-14)
|
||||
- Added more detailed logs for Redis worker signaling to improve debugging.
|
||||
|
||||
## v0.2.86 (2025-07-11)
|
||||
- Honored tool descriptions in the `/mcp` endpoint to align with expected functionality.
|
||||
|
||||
## v0.2.85 (2025-07-10)
|
||||
- Added support for the `on_disconnect` field to `runs/wait` and included disconnect logs for better debugging.
|
||||
|
||||
## v0.2.84 (2025-07-09)
|
||||
- Removed unnecessary status updates to streamline thread handling and updated version to 0.2.84.
|
||||
|
||||
## v0.2.83 (2025-07-09)
|
||||
- Reduced the default time-to-live for resumable streams to 2 minutes.
|
||||
- Enhanced data submission logic to send data to both Beacon and LangSmith instance based on license configuration.
|
||||
- Enabled submission of self-hosted data to a Langsmith instance when the endpoint is configured.
|
||||
|
||||
## v0.2.82 (2025-07-03)
|
||||
- Addressed a race condition in background runs by implementing a lock using join, ensuring reliable execution across CTEs.
|
||||
|
||||
## v0.2.81 (2025-07-03)
|
||||
- Optimized run streams by reducing initial wait time to improve responsiveness for older or non-existent runs.
|
||||
|
||||
## v0.2.80 (2025-07-03)
|
||||
- Corrected parameter passing in the `logger.ainfo()` API call to resolve a TypeError.
|
||||
|
||||
## v0.2.79 (2025-07-02)
|
||||
- Fixed a JsonDecodeError in checkpointing with remote graph by correcting JSON serialization to handle trailing slashes properly.
|
||||
- Introduced a configuration flag to disable webhooks globally across all routes.
|
||||
|
||||
## v0.2.78 (2025-07-02)
|
||||
- Added timeout retries to webhook calls to improve reliability.
|
||||
- Added HTTP request metrics, including a request count and latency histogram, for enhanced monitoring capabilities.
|
||||
|
||||
## v0.2.77 (2025-07-02)
|
||||
- Added HTTP metrics to improve performance monitoring.
|
||||
- Changed the Redis cache delimiter to reduce conflicts with subgraph message names and updated caching behavior.
|
||||
|
||||
## v0.2.76 (2025-07-01)
|
||||
- Updated Redis cache delimiter to prevent conflicts with subgraph messages.
|
||||
|
||||
## v0.2.74 (2025-06-30)
|
||||
- Scheduled webhooks in an isolated loop to ensure thread-safe operations and prevent errors with PYTHONASYNCIODEBUG=1.
|
||||
|
||||
## v0.2.73 (2025-06-27)
|
||||
- Fixed an infinite frame loop issue and removed the dict_parser due to structlog's unexpected behavior.
|
||||
- Throw a 409 error on deadlock occurrence during run cancellations to handle lock conflicts gracefully.
|
||||
|
||||
## v0.2.72 (2025-06-27)
|
||||
- Ensured compatibility with future langgraph versions.
|
||||
- Implemented a 409 response status to handle deadlock issues during cancellation.
|
||||
|
||||
## v0.2.71 (2025-06-26)
|
||||
- Improved logging for better clarity and detail regarding log types.
|
||||
|
||||
## v0.2.70 (2025-06-26)
|
||||
- Improved error handling to better distinguish and log TimeoutErrors caused by users from internal run timeouts.
|
||||
|
||||
## v0.2.69 (2025-06-26)
|
||||
- Added sorting and pagination to the crons API and updated schema definitions for improved accuracy.
|
||||
|
||||
## v0.2.66 (2025-06-26)
|
||||
- Fixed a 404 error when creating multiple runs with the same thread_id using `on_not_exist="create"`.
|
||||
|
||||
## v0.2.65 (2025-06-25)
|
||||
- Ensured that only fields from `assistant_versions` are returned when necessary.
|
||||
- Ensured consistent data types for in-memory and PostgreSQL users, improving internal authentication handling.
|
||||
|
||||
## v0.2.64 (2025-06-24)
|
||||
- Added descriptions to version entries for better clarity.
|
||||
|
||||
## v0.2.62 (2025-06-23)
|
||||
- Improved user handling for custom authentication in the JS Studio.
|
||||
- Added Prometheus-format run statistics to the metrics endpoint for better monitoring.
|
||||
- Added run statistics in Prometheus format to the metrics endpoint.
|
||||
|
||||
## v0.2.61 (2025-06-20)
|
||||
- Set a maximum idle time for Redis connections to prevent unnecessary open connections.
|
||||
|
||||
## v0.2.60 (2025-06-20)
|
||||
- Enhanced error logging to include traceback details for dictionary operations.
|
||||
- Added a `/metrics` endpoint to expose queue worker metrics for monitoring.
|
||||
|
||||
## v0.2.57 (2025-06-18)
|
||||
- Removed CancelledError from retriable exceptions to allow local interrupts while maintaining retriability for workers.
|
||||
- Introduced middleware to gracefully shut down the server after completing in-flight requests upon receiving a SIGINT.
|
||||
- Reduced metadata stored in checkpoint to only include necessary information.
|
||||
- Improved error handling in join runs to return error details when present.
|
||||
|
||||
## v0.2.56 (2025-06-17)
|
||||
- Improved application stability by adding a handler for SIGTERM signals.
|
||||
|
||||
## v0.2.55 (2025-06-17)
|
||||
- Improved the handling of cancellations in the queue entrypoint.
|
||||
- Improved cancellation handling in the queue entry point.
|
||||
|
||||
## v0.2.54 (2025-06-16)
|
||||
- Enhanced error message for LuaLock timeout during license validation.
|
||||
- Fixed the $contains filter in custom auth by requiring an explicit ::text cast and updated tests accordingly.
|
||||
- Ensured project and tenant IDs are formatted as UUIDs for consistency.
|
||||
|
||||
## v0.2.53 (2025-06-13)
|
||||
- Resolved a timing issue to ensure the queue starts only after the graph is registered.
|
||||
- Improved performance by setting thread and run status in a single query and enhanced error handling during checkpoint writes.
|
||||
- Reduced the default background grace period to 3 minutes.
|
||||
|
||||
## v0.2.52 (2025-06-12)
|
||||
- Now logging expected graphs when one is omitted to improve traceability.
|
||||
- Implemented a time-to-live (TTL) feature for resumable streams.
|
||||
- Improved query efficiency and consistency by adding a unique index and optimizing row locking.
|
||||
|
||||
## v0.2.51 (2025-06-12)
|
||||
- Handled `CancelledError` by marking tasks as ready to retry, improving error management in worker processes.
|
||||
- Added LG API version and request ID to metadata and logs for better tracking.
|
||||
- Added LG API version and request ID to metadata and logs to improve traceability.
|
||||
- Improved database performance by creating indexes concurrently.
|
||||
- Ensured postgres write is committed only after the Redis running marker is set to prevent race conditions.
|
||||
- Enhanced query efficiency and reliability by adding a unique index on thread_id/running, optimizing row locks, and ensuring deterministic run selection.
|
||||
- Resolved a race condition by ensuring Postgres updates only occur after the Redis running marker is set.
|
||||
|
||||
## v0.2.46 (2025-06-07)
|
||||
- Introduced a new connection for each operation while preserving transaction characteristics in Threads state `update()` and `bulk()` commands.
|
||||
|
||||
## v0.2.45 (2025-06-05)
|
||||
- Enhanced streaming feature by incorporating tracing contexts.
|
||||
- Removed an unnecessary query from the Crons.search function.
|
||||
- Resolved connection reuse issue when scheduling next run for multiple cron jobs.
|
||||
- Removed an unnecessary query in the Crons.search function to improve efficiency.
|
||||
- Resolved an issue with scheduling the next cron run by improving connection reuse.
|
||||
|
||||
## v0.2.44 (2025-06-04)
|
||||
- Enhanced the worker logic to exit the pipeline before continuing when the Redis message limit is reached.
|
||||
- Introduced a ceiling for Redis message size with an option to skip messages larger than 128 MB for improved performance.
|
||||
- Ensured the pipeline always closes properly to prevent resource leaks.
|
||||
|
||||
## v0.2.43 (2025-06-04)
|
||||
- Improved performance by omitting logs in metadata calls and ensuring output schema compliance in value streaming.
|
||||
- Ensured the connection is properly closed after use.
|
||||
- Aligned output format to strictly adhere to the specified schema.
|
||||
- Stopped sending internal logs in metadata requests to improve privacy.
|
||||
|
||||
## v0.2.42 (2025-06-04)
|
||||
- Added timestamps to track the start and end of a request's run.
|
||||
- Added tracer information to the configuration settings.
|
||||
- Added support for streaming with tracing contexts.
|
||||
|
||||
## v0.2.41 (2025-06-03)
|
||||
- Added locking mechanism to prevent errors in pipelined executions.
|
||||
File diff suppressed because it is too large
Load Diff
@@ -1,17 +0,0 @@
|
||||
# Python SDK Reference
|
||||
|
||||
::: langgraph_sdk.client
|
||||
handler: python
|
||||
|
||||
|
||||
::: langgraph_sdk.schema
|
||||
handler: python
|
||||
|
||||
::: langgraph_sdk.auth
|
||||
handler: python
|
||||
|
||||
::: langgraph_sdk.auth.types
|
||||
handler: python
|
||||
|
||||
::: langgraph_sdk.auth.exceptions
|
||||
handler: python
|
||||
Reference in New Issue
Block a user