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..
Author SHA1 Message Date
Eugene Yurtsev 8321b23a6b x 2025-06-27 11:53:19 -04:00
61 changed files with 1682 additions and 3898 deletions
+3 -3
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@@ -10,6 +10,6 @@ contact_links:
- name: Show and tell
about: Show what you built with LangChain
url: https://github.com/langchain-ai/langgraph/discussions/categories/show-and-tell
- name: LangChain Forum
url: https://forum.langchain.com/
about: General community discussions and support
- name: Slack
url: https://www.langchain.com/join-community
about: General community discussions
+5 -12
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@@ -1,18 +1,11 @@
# Please see the documentation for all configuration options:
# https://docs.github.com/github/administering-a-repository/configuration-options-for-dependency-updates
# and
# https://docs.github.com/code-security/dependabot/dependabot-version-updates/configuration-options-for-the-dependabot.yml-file
version: 2
updates:
- package-ecosystem: "github-actions"
directory: "/"
schedule:
interval: "weekly"
- package-ecosystem: "pip"
directories:
- "libs/checkpoint"
- "libs/checkpoint-postgres"
- "libs/checkpoint-sqlite"
- "libs/cli"
- "libs/langgraph"
- "libs/prebuilt"
- "libs/sdk-py"
schedule:
interval: "weekly"
-11
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@@ -58,14 +58,3 @@ jobs:
# grep will exit non-zero if the target message isn't found,
# and `set -e` above will cause the step to fail.
echo "$STATUS" | grep 'nothing to commit, working tree clean'
- name: Install min version of deps
shell: bash
working-directory: ${{ inputs.working-directory }}
run: uv sync --all-extras --resolution lowest-direct --no-sources --force-reinstall
- name: Run tests with min version of deps
shell: bash
working-directory: ${{ inputs.working-directory }}
run: make test
-8
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@@ -53,11 +53,3 @@ jobs:
# grep will exit non-zero if the target message isn't found,
# and `set -e` above will cause the step to fail.
echo "$STATUS" | grep 'nothing to commit, working tree clean'
- name: Install min version of deps
shell: bash
run: uv sync --all-extras --resolution lowest-direct --no-sources --force-reinstall
- name: Run tests with min version of deps
shell: bash
run: make test_parallel
+4 -8
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@@ -22,7 +22,6 @@ jobs:
outputs:
python: ${{ steps.filter.outputs.python }}
sdk-js: ${{ steps.filter.outputs.sdk-js }}
deps: ${{ steps.filter.outputs.deps }}
steps:
- uses: actions/checkout@v4
- uses: dorny/paths-filter@v3
@@ -39,9 +38,6 @@ jobs:
- 'libs/prebuilt/**'
sdk-js:
- 'libs/sdk-js/**'
deps:
- '**/pyproject.toml'
- '**/uv.lock'
lint:
needs: changes
@@ -59,7 +55,7 @@ jobs:
"libs/prebuilt",
]
if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
if: needs.changes.outputs.python == 'true'
uses: ./.github/workflows/_lint.yml
with:
working-directory: ${{ matrix.working-directory }}
@@ -78,7 +74,7 @@ jobs:
"libs/checkpoint-postgres",
"libs/prebuilt",
]
if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
if: needs.changes.outputs.python == 'true'
uses: ./.github/workflows/_test.yml
with:
working-directory: ${{ matrix.working-directory }}
@@ -87,7 +83,7 @@ jobs:
# NOTE: we're testing langgraph separately because it requires a different matrix
test-langgraph:
needs: changes
if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
if: needs.changes.outputs.python == 'true'
name: "cd libs/langgraph"
uses: ./.github/workflows/_test_langgraph.yml
secrets: inherit
@@ -144,7 +140,7 @@ jobs:
integration-test:
needs: changes
if: needs.changes.outputs.python == 'true' || needs.changes.outputs.deps == 'true'
if: needs.changes.outputs.python == 'true'
name: CLI integration test
uses: ./.github/workflows/_integration_test.yml
secrets: inherit
-45
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@@ -1,45 +0,0 @@
name: UV Lock Upgrade
on:
schedule:
# run at midnight every Sunday
- cron: '0 0 * * 0'
# allow manual triggering
workflow_dispatch:
permissions:
contents: write
pull-requests: write
jobs:
upgrade-dependencies:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up uv
uses: astral-sh/setup-uv@v6
with:
# use minimum supported Python version
python-version: "3.9"
enable-cache: true
cache-suffix: "uv-lock-upgrade"
- name: Run uv lock --upgrade in all Python packages
run: make lock-upgrade
- name: Create Pull Request
uses: peter-evans/create-pull-request@v6
with:
token: ${{ secrets.GITHUB_TOKEN }}
commit-message: "chore: upgrade dependencies with `uv lock --upgrade`"
title: "chore: upgrade dependencies with `uv lock --upgrade`"
body: |
This PR updates the dependencies in all Python packages using `uv lock --upgrade`.
This is an automated PR created by the UV Lock Upgrade workflow.
branch: deps/uv-lock-upgrade
delete-branch: true
labels: |
dependencies
-10
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@@ -47,16 +47,6 @@ lock:
fi; \
done
# Lock all projects and upgrade dependencies
.PHONY: lock-upgrade
lock-upgrade:
@for dir in $(LIBS_DIRS); do \
if [ -f $$dir/Makefile ]; then \
echo "Running lock-upgrade in $$dir"; \
(cd $$dir && uv lock --upgrade); \
fi; \
done
# Test all projects
.PHONY: test
test:
+1 -1
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@@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
- [LangChain](https://python.langchain.com/docs/introduction/) Provides integrations and composable components to streamline LLM application development.
> [!NOTE]
-1
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@@ -111,7 +111,6 @@ REDIRECT_MAP = {
"concepts/v0-human-in-the-loop.md": "concepts/human-in-the-loop.md",
"how-tos/index.md": "index.md",
"tutorials/introduction.ipynb": "concepts/why-langgraph.md",
"agents/deployment.md": "tutorials/langgraph-platform/local-server.md",
# deployment redirects
"how-tos/deploy-self-hosted.md": "cloud/deployment/self_hosted_data_plane.md",
"concepts/self_hosted.md": "concepts/langgraph_self_hosted_data_plane.md",
+92
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@@ -0,0 +1,92 @@
---
search:
boost: 2
tags:
- agent
hide:
- tags
---
# Deployment
To deploy your LangGraph agent, create and configure a LangGraph app. This setup supports both local development and production deployments.
Features:
* 🖥️ Local server for development
* 🧩 Studio Web UI for visual debugging
* ☁️ Cloud and 🔧 self-hosted deployment options
* 📊 LangSmith integration for tracing and observability
!!! info "Requirements"
- ✅ You **must** have a [LangSmith account](https://www.langchain.com/langsmith). You can sign up for **free** and get started with the free tier.
## Create a LangGraph app
```bash
pip install -U "langgraph-cli[inmem]"
langgraph new path/to/your/app --template new-langgraph-project-python
```
This will create an empty LangGraph project. You can modify it by replacing the code in `src/agent/graph.py` with your agent code. For example:
```python
from langgraph.prebuilt import create_react_agent
def get_weather(city: str) -> str:
"""Get weather for a given city."""
return f"It's always sunny in {city}!"
graph = create_react_agent(
model="anthropic:claude-3-7-sonnet-latest",
tools=[get_weather],
prompt="You are a helpful assistant"
)
```
### Install dependencies
In the root of your new LangGraph app, install the dependencies in `edit` mode so your local changes are used by the server:
```shell
pip install -e .
```
### Create an `.env` file
You will find a `.env.example` in the root of your new LangGraph app. Create
a `.env` file in the root of your new LangGraph app and copy the contents of the `.env.example` file into it, filling in the necessary API keys:
```bash
LANGSMITH_API_KEY=lsv2...
ANTHROPIC_API_KEY=sk-
```
## Launch LangGraph server locally
```shell
langgraph dev
```
This will start up the LangGraph API server locally. If this runs successfully, you should see something like:
> Ready!
>
> - API: [http://localhost:2024](http://localhost:2024/)
>
> - Docs: http://localhost:2024/docs
>
> - LangGraph Studio Web UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024
See this [tutorial](https://langchain-ai.github.io/langgraph/tutorials/langgraph-platform/local-server/) to learn more about running LangGraph app locally.
## LangGraph Studio Web UI
LangGraph Studio Web is a specialized UI that you can connect to LangGraph API server to enable visualization, interaction, and debugging of your application locally. Test your graph in the LangGraph Studio Web UI by visiting the URL provided in the output of the `langgraph dev` command.
> - LangGraph Studio Web UI: https://smith.langchain.com/studio/?baseUrl=http://127.0.0.1:2024
## Deployment
Once your LangGraph app is running locally, you can deploy it using LangGraph Platform. Refer to the [deployment options guide](../concepts/deployment_options.md) for detailed instructions on all supported deployment models.
+2 -2
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@@ -8,9 +8,9 @@ hide:
- tags
---
# Agent development using prebuilt components
# Agent development with LangGraph
LangGraph provides both low-level primitives and high-level prebuilt components for building agent-based applications. This section focuses on the prebuilt, ready-to-use components designed to help you construct agentic systems quickly and reliably—without the need to implement orchestration, memory, or human feedback handling from scratch.
**LangGraph** provides both low-level primitives and high-level prebuilt components for building agent-based applications. This section focuses on the **prebuilt**, **reusable** components designed to help you construct agentic systems quickly and reliably—without the need to implement orchestration, memory, or human feedback handling from scratch.
## What is an agent?
@@ -3,7 +3,7 @@
Before deploying, review the [conceptual guide for the Self-Hosted Control Plane](../../concepts/langgraph_self_hosted_control_plane.md) deployment option.
!!! info "Important"
The Self-Hosted Control Plane deployment option requires an [Enterprise](../../concepts/plans.md) plan.
The Self-Hosted Control Plane deployment option is currently in beta stage and requires an [Enterprise](../../concepts/plans.md) plan.
## Prerequisites
@@ -3,7 +3,7 @@
Before deploying, review the [conceptual guide for the Self-Hosted Data Plane](../../concepts/langgraph_self_hosted_data_plane.md) deployment option.
!!! info "Important"
The Self-Hosted Data Plane deployment option requires an [Enterprise](../../concepts/plans.md) plan.
The Self-Hosted Data Plane deployment option is currently in beta stage and requires an [Enterprise](../../concepts/plans.md) plan.
## Prerequisites
@@ -15,15 +15,11 @@ Before deploying, review the [conceptual guide for the Self-Hosted Data Plane](.
### Prerequisites
1. `KEDA` is installed on your cluster.
helm repo add kedacore https://kedacore.github.io/charts
helm repo add kedacore https://kedacore.github.io/charts
helm install keda kedacore/keda --namespace keda --create-namespace
1. A valid `Ingress` controller is installed on your cluster.
1. You have slack space in your cluster for multiple deployments. `Cluster-Autoscaler` is recommended to automatically provision new nodes.
1. You will need to enable egress to two control plane URLs. The listener polls these endpoints for deployments:
https://api.host.langchain.com
https://api.smith.langchain.com
### Setup
+1 -69
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@@ -1,4 +1,4 @@
# How to integrate LangGraph into your React application
How to integrate LangGraph into your React application# How to integrate LangGraph into your React application
!!! info "Prerequisites"
@@ -503,74 +503,6 @@ const handleSubmit = (text: string) => {
};
```
### Cached Thread Display
Use the `initialValues` option to display cached thread data immediately while the history is being loaded from the server. This improves user experience by showing cached data instantly when navigating to existing threads.
```tsx
import { useStream } from "@langchain/langgraph-sdk/react";
const CachedThreadExample = ({ threadId, cachedThreadData }) => {
const stream = useStream({
apiUrl: "http://localhost:2024",
assistantId: "agent",
threadId,
// Show cached data immediately while history loads
initialValues: cachedThreadData?.values,
messagesKey: "messages",
});
return (
<div>
{stream.messages.map((message) => (
<div key={message.id}>{message.content as string}</div>
))}
</div>
);
};
```
### Optimistic Thread Creation
Use the `threadId` option in `submit` function to enable optimistic UI patterns where you need to know the thread ID before the thread is actually created.
```tsx
import { useState } from "react";
import { useStream } from "@langchain/langgraph-sdk/react";
const OptimisticThreadExample = () => {
const [threadId, setThreadId] = useState<string | null>(null);
const [optimisticThreadId] = useState(() => crypto.randomUUID());
const stream = useStream({
apiUrl: "http://localhost:2024",
assistantId: "agent",
threadId,
onThreadId: setThreadId, // (3) Updated after thread has been created.
messagesKey: "messages",
});
const handleSubmit = (text: string) => {
// (1) Perform a soft navigation to /threads/${optimisticThreadId}
// without waiting for thread creation.
window.history.pushState({}, "", `/threads/${optimisticThreadId}`);
// (2) Submit message to create thread with the predetermined ID.
stream.submit(
{ messages: [{ type: "human", content: text }] },
{ threadId: optimisticThreadId }
);
};
return (
<div>
<p>Thread ID: {threadId ?? optimisticThreadId}</p>
{/* Rest of component */}
</div>
);
};
```
### TypeScript
The `useStream()` hook is friendly for apps written in TypeScript and you can specify types for the state to get better type safety and IDE support.
File diff suppressed because it is too large Load Diff
+2 -2
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@@ -395,7 +395,7 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
=== "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.
Start LangGraph API server. For local testing, requires a LangSmith API key with access to LangGraph Platform closed beta. Requires a license key for production use.
**Usage**
@@ -422,7 +422,7 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
=== "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.
Start LangGraph API server. For local testing, requires a LangSmith API key with access to LangGraph Platform closed beta. Requires a license key for production use.
**Usage**
+2 -2
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@@ -48,7 +48,7 @@ Below are examples of directory structures for Python and JavaScript application
│ ├── utils # utilities for your graph
│ │ ├── __init__.py
│ │ ├── tools.py # tools for your graph
│ │ ├── nodes.py # node functions for your graph
│ │ ├── nodes.py # node functions for you graph
│ │ └── state.py # state definition of your graph
│ ├── __init__.py
│ └── agent.py # code for constructing your graph
@@ -64,7 +64,7 @@ Below are examples of directory structures for Python and JavaScript application
├── src # all project code lies within here
│ ├── utils # optional utilities for your graph
│ │ ├── tools.ts # tools for your graph
│ │ ├── nodes.ts # node functions for your graph
│ │ ├── nodes.ts # node functions for you graph
│ │ └── state.ts # state definition of your graph
│ └── agent.ts # code for constructing your graph
├── package.json # package dependencies
+4 -4
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@@ -18,9 +18,9 @@ There are 4 main options for deploying with the [LangGraph Platform](langgraph_p
1. [Cloud SaaS](#cloud-saas)
1. [Self-Hosted Data Plane](#self-hosted-data-plane)
1. [Self-Hosted Data Plane<sup>(Beta)</sup>](#self-hosted-data-plane)
1. [Self-Hosted Control Plane](#self-hosted-control-plane)
1. [Self-Hosted Control Plane<sup>(Beta)</sup>](#self-hosted-control-plane)
1. [Standalone Container](#standalone-container)
@@ -50,7 +50,7 @@ For more information, please see:
## Self-Hosted Data Plane
!!! info "Important"
The Self-Hosted Data Plane deployment option requires an [Enterprise](../concepts/plans.md) plan.
The Self-Hosted Data Plane deployment option is currently in beta stage and requires an [Enterprise](../concepts/plans.md) plan.
The [Self-Hosted Data Plane](./langgraph_self_hosted_data_plane.md) deployment option is a "hybrid" model for deployment where we manage the [control plane](./langgraph_control_plane.md) in our cloud and you manage the [data plane](./langgraph_data_plane.md) in your cloud. This option provides a way to securely manage your data plane infrastructure, while offloading control plane management to us.
@@ -66,7 +66,7 @@ For more information, please see:
## Self-Hosted Control Plane
!!! info "Important"
The Self-Hosted Control Plane deployment option requires an [Enterprise](../concepts/plans.md) plan.
The Self-Hosted Control Plane deployment option is currently in beta stage and requires an [Enterprise](../concepts/plans.md) plan.
The [Self-Hosted Control Plane](./langgraph_self_hosted_control_plane.md) deployment option is a fully self-hosted model for deployment where you manage the [control plane](./langgraph_control_plane.md) and [data plane](./langgraph_data_plane.md) in your cloud. This option gives you full control and responsibility of the control plane and data plane infrastructure.
+1 -1
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@@ -47,7 +47,7 @@ LangGraph is a stateful, orchestration framework that brings added control to ag
No. LangGraph Platform is proprietary software.
There is a free, self-hosted version of LangGraph Platform with access to basic features. The Cloud SaaS deployment option and the Self-Hosted deployment options are paid services. [Contact our sales team](https://www.langchain.com/contact-sales) to learn more.
There is a free, self-hosted version of LangGraph Platform with access to basic features. The Cloud SaaS deployment option is free while in beta, but will eventually be a paid service. We will always give ample notice before charging for a service and reward our early adopters with preferential pricing. The Self-Hosted deployment options are paid services. [Contact our sales team](https://www.langchain.com/contact-sales) to learn more.
For more information, see our [LangGraph Platform pricing page](https://www.langchain.com/pricing-langgraph-platform).
+12 -14
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@@ -18,21 +18,10 @@ The Functional API uses two key building blocks:
This provides a minimal abstraction for building workflows with state management and streaming.
!!! tip
For information on how to use the functional API, see [Use Functional API](../how-tos/use-functional-api.md).
## Functional API vs. Graph API
For users who prefer a more declarative approach, LangGraph's [Graph API](./low_level.md) allows you to define workflows using a Graph paradigm. Both APIs share the same underlying runtime, so you can use them together in the same application.
Here are some key differences:
- **Control flow**: The Functional API does not require thinking about graph structure. You can use standard Python constructs to define workflows. This will usually trim the amount of code you need to write.
- **Short-term memory**: The **GraphAPI** requires declaring a [**State**](./low_level.md#state) and may require defining [**reducers**](./low_level.md#reducers) to manage updates to the graph state. `@entrypoint` and `@tasks` do not require explicit state management as their state is scoped to the function and is not shared across functions.
- **Checkpointing**: Both APIs generate and use checkpoints. In the **Graph API** a new checkpoint is generated after every [superstep](./low_level.md). In the **Functional API**, when tasks are executed, their results are saved to an existing checkpoint associated with the given entrypoint instead of creating a new checkpoint.
- **Visualization**: The Graph API makes it easy to visualize the workflow as a graph which can be useful for debugging, understanding the workflow, and sharing with others. The Functional API does not support visualization as the graph is dynamically generated during runtime.
!!! tip
For users who prefer a more declarative approach, LangGraph's [Graph API](./low_level.md) allows you to define workflows using a Graph paradigm. Both APIs share the same underlying runtime, so you can use them together in the same application.
Please see the [Functional API vs. Graph API](#functional-api-vs-graph-api) section for a comparison of the two paradigms.
## Example
@@ -543,6 +532,15 @@ While different runs of a workflow can produce different results, resuming a **s
Idempotency ensures that running the same operation multiple times produces the same result. This helps prevent duplicate API calls and redundant processing if a step is rerun due to a failure. Always place API calls inside **tasks** functions for checkpointing, and design them to be idempotent in case of re-execution. Re-execution can occur if a **task** starts, but does not complete successfully. Then, if the workflow is resumed, the **task** will run again. Use idempotency keys or verify existing results to avoid duplication.
## Functional API vs. Graph API
The **Functional API** and the [Graph APIs (StateGraph)](./low_level.md#stategraph) provide two different paradigms to create applications with LangGraph. Here are some key differences:
- **Control flow**: The Functional API does not require thinking about graph structure. You can use standard Python constructs to define workflows. This will usually trim the amount of code you need to write.
- **Short-term memory**: The **GraphAPI** requires declaring a [**State**](./low_level.md#state) and may require defining [**reducers**](./low_level.md#reducers) to manage updates to the graph state. `@entrypoint` and `@tasks` do not require explicit state management as their state is scoped to the function and is not shared across functions.
- **Checkpointing**: Both APIs generate and use checkpoints. In the **Graph API** a new checkpoint is generated after every [superstep](./low_level.md). In the **Functional API**, when tasks are executed, their results are saved to an existing checkpoint associated with the given entrypoint instead of creating a new checkpoint.
- **Visualization**: The Graph API makes it easy to visualize the workflow as a graph which can be useful for debugging, understanding the workflow, and sharing with others. The Functional API does not support visualization as the graph is dynamically generated during runtime.
## Common Pitfalls
### Handling side effects
@@ -3,7 +3,7 @@
There are two versions of the self-hosted deployment: [Self-Hosted Data Plane](./deployment_options.md#self-hosted-data-plane) and [Self-Hosted Control Plane](./deployment_options.md#self-hosted-control-plane).
!!! info "Important"
The Self-Hosted Control Plane deployment option requires an [Enterprise](plans.md) plan.
The Self-Hosted Control Plane deployment option is currently in beta stage and requires an [Enterprise](plans.md) plan.
## Requirements
@@ -8,7 +8,7 @@ search:
There are two versions of the self-hosted deployment: [Self-Hosted Data Plane](./deployment_options.md#self-hosted-data-plane) and [Self-Hosted Control Plane](./deployment_options.md#self-hosted-control-plane).
!!! info "Important"
The Self-Hosted Data Plane deployment option requires an [Enterprise](plans.md) plan.
The Self-Hosted Data Plane deployment option is currently in beta stage and requires an [Enterprise](plans.md) plan.
## Requirements
@@ -19,7 +19,7 @@ The Standalone Container deployment option is the least restrictive model for de
!!! warning
LangGraph Platform should not be deployed in serverless environments. Scale to zero may cause task loss and scaling up will not work reliably.
LangGraph Platform should not be deployed in serverless environments.
## Architecture
+1 -8
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@@ -1,12 +1,5 @@
# Use the functional API
The [**Functional API**](../concepts/functional_api.md) allows you to add LangGraph's key features — [persistence](../concepts/persistence.md), [memory](../how-tos/memory/add-memory.md), [human-in-the-loop](../concepts/human_in_the_loop.md), and [streaming](../concepts/streaming.md) — to your applications with minimal changes to your existing code.
!!! tip
For conceptual information on the functional API, see [Functional API](../concepts/functional_api.md).
## Creating a simple workflow
When defining an `entrypoint`, input is restricted to the first argument of the function. To pass multiple inputs, you can use a dictionary.
@@ -839,4 +832,4 @@ for chunk in workflow.stream([input_message], config, stream_mode="values"):
## Integrate with other libraries
* [Add LangGraph's features to other frameworks using the functional API](./autogen-integration-functional.ipynb): Add LangGraph features like persistence, memory and streaming to other agent frameworks that do not provide them out of the box.
* [Add LangGraph's features to other frameworks using the functional API](./autogen-integration-functional.ipynb): Add LangGraph features like persistence, memory and streaming to other agent frameworks that do not provide them out of the box.
@@ -1,4 +1,4 @@
# Run a local server
# LangGraph Platform quickstart
This guide shows you how to run a LangGraph application locally.
+121 -120
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@@ -89,78 +89,49 @@ plugins:
- "!^_"
nav:
- Get started:
- Guides:
- index.md
- Quickstarts:
- Start with a prebuilt agent: agents/agents.md
- Build a custom workflow:
- Agent: agents/agents.md
- LangGraph basics:
- concepts/why-langgraph.md
- 1. Build a basic chatbot: tutorials/get-started/1-build-basic-chatbot.md
- 2. Add tools: tutorials/get-started/2-add-tools.md
- 3. Add memory: tutorials/get-started/3-add-memory.md
- 4. Add human-in-the-loop: tutorials/get-started/4-human-in-the-loop.md
- 5. Customize state: tutorials/get-started/5-customize-state.md
- 6. Time travel: tutorials/get-started/6-time-travel.md
- Run a local server: tutorials/langgraph-platform/local-server.md
- Agent development:
- Workflows & agents: tutorials/workflows.md
- Prebuilt components: agents/overview.md
- Run an agent: agents/run_agents.md
- Agent architectures: concepts/agentic_concepts.md
- Guides:
- LangGraph APIs:
- Graph API:
- Overview: concepts/low_level.md
- Use the Graph API: how-tos/graph-api.ipynb
- Functional API:
- Overview: concepts/functional_api.md
- Use the Functional API: how-tos/use-functional-api.md
- Runtime: concepts/pregel.md
- Build a basic chatbot: tutorials/get-started/1-build-basic-chatbot.md
- tutorials/get-started/2-add-tools.md
- tutorials/get-started/3-add-memory.md
- Add human-in-the-loop: tutorials/get-started/4-human-in-the-loop.md
- tutorials/get-started/5-customize-state.md
- tutorials/get-started/6-time-travel.md
- Local server: tutorials/langgraph-platform/local-server.md
- Deployment: cloud/quick_start.md
- General concepts:
- Common patterns:
- Agent architectures: concepts/agentic_concepts.md
- Workflows & agents: tutorials/workflows.md
- Agent development: agents/overview.md
- Workflow orchestration:
- Graph API: concepts/low_level.md
- Subgraphs: concepts/subgraphs.md
- Runtime: concepts/pregel.md
- Functional API: concepts/functional_api.md
- Core capabilities:
- Streaming:
- Overview: concepts/streaming.md
- Stream outputs: how-tos/streaming.md
- Use Server API: cloud/how-tos/streaming.md
- Persistence:
- Overview: concepts/persistence.md
- Durable execution:
- Overview: concepts/durable_execution.md
- Memory:
- Overview: concepts/memory.md
- Add memory: how-tos/memory/add-memory.md
- Context:
- Add context: agents/context.md
- Models:
- Configure model: agents/models.md
- Overview: concepts/streaming.md
- Stream outputs: how-tos/streaming.md
- Persistence: concepts/persistence.md
- Durable execution: concepts/durable_execution.md
- Memory: concepts/memory.md
- Tools:
- Overview: concepts/tools.md
- Call tools: how-tos/tool-calling.md
- Human-in-the-loop:
- Overview: concepts/human_in_the_loop.md
- Add human intervention: how-tos/human_in_the_loop/add-human-in-the-loop.md
- Use Server API: cloud/how-tos/add-human-in-the-loop.md
- Breakpoints:
- Overview: concepts/breakpoints.md
- Set breakpoints: how-tos/human_in_the_loop/breakpoints.md
- Use Server API: cloud/how-tos/human_in_the_loop_breakpoint.md
- Overview: concepts/tools.md
- Call tools: how-tos/tool-calling.md
- Human-in-the-loop: concepts/human_in_the_loop.md
- Breakpoints: concepts/breakpoints.md
- Time travel:
- Overview: concepts/time-travel.md
- Use time travel: how-tos/human_in_the_loop/time-travel.md
- Use Server API: cloud/how-tos/human_in_the_loop_time_travel.md
- Subgraphs:
- Overview: concepts/subgraphs.md
- Use subgraphs: how-tos/subgraph.ipynb
- Multi-agent:
- Overview: concepts/multi_agent.md
- Prebuilt implementation: agents/multi-agent.md
- Custom implementation: how-tos/multi_agent.ipynb
- Overview: concepts/time-travel.md
- Use time-travel: how-tos/human_in_the_loop/time-travel.md
- Multi-agent: concepts/multi_agent.md
- MCP:
- Use MCP: agents/mcp.md
- Server API: concepts/server-mcp.md
- Evaluation:
- Basic implementation: agents/evals.md
- Platform-only capabilities:
- Platform capabilities:
- LangGraph Platform:
- Overview: concepts/langgraph_platform.md
- Components:
@@ -170,72 +141,103 @@ nav:
- Data plane: concepts/langgraph_data_plane.md
- Control plane: concepts/langgraph_control_plane.md
- LangGraph CLI: concepts/langgraph_cli.md
- LangGraph Studio:
- Overview: concepts/langgraph_studio.md
- Quickstart: cloud/how-tos/studio/quick_start.md
- cloud/how-tos/invoke_studio.md
- cloud/how-tos/studio/manage_assistants.md
- cloud/how-tos/threads_studio.md
- cloud/how-tos/iterate_graph_studio.md
- cloud/how-tos/studio/run_evals.md
- cloud/how-tos/clone_traces_studio.md
- cloud/how-tos/datasets_studio.md
- LangGraph Studio: concepts/langgraph_studio.md
- LangGraph SDK: concepts/sdk.md
- Plans & pricing: concepts/plans.md
- Application structure: concepts/application_structure.md
- Scalability & resilience: concepts/scalability_and_resilience.md
- Authentication & access control: concepts/auth.md
- Assistants: concepts/assistants.md
- Double-texting: concepts/double_texting.md
- Webhooks: cloud/concepts/webhooks.md
- Cron jobs: cloud/concepts/cron_jobs.md
- Deployment:
- Overview: concepts/deployment_options.md
- Deployment options:
- Cloud SaaS: concepts/langgraph_cloud.md
- Self-Hosted Data Plane: concepts/langgraph_self_hosted_data_plane.md
- Self-Hosted Control Plane: concepts/langgraph_self_hosted_control_plane.md
- Standalone Container: concepts/langgraph_standalone_container.md
- Use the API:
- Use RemoteGraph: how-tos/use-remote-graph.md
- Human in the loop: cloud/how-tos/add-human-in-the-loop.md
- Breakpoints: cloud/how-tos/human_in_the_loop_breakpoint.md
- Timetravel: cloud/how-tos/human_in_the_loop_time_travel.md
- Streaming: cloud/how-tos/streaming.md
- MCP: concepts/server-mcp.md
- Guides:
- LangGraph APIs:
- Use the Graph API: how-tos/graph-api.ipynb
- Use the Functional API: how-tos/use-functional-api.md
- Models:
- Configure model: agents/models.md
- Context:
- Add context: agents/context.md
- Memory:
- Add memory: how-tos/memory/add-memory.md
- Human-in-the-loop:
- how-tos/human_in_the_loop/add-human-in-the-loop.md
- Breakpoints:
- Set breakpoints: how-tos/human_in_the_loop/breakpoints.md
- Tools:
- Call tools: how-tos/tool-calling.md
- Subgraphs:
- Use subgraphs: how-tos/subgraph.ipynb
- Multi-agent:
- Prebuilt implementation: agents/multi-agent.md
- Custom implementation: how-tos/multi_agent.ipynb
- Evaluation:
- Basic implementation: agents/evals.md
- Deployment:
- Basic deployment: agents/deployment.md
- Set up your application:
- Use requirements.txt: cloud/deployment/setup.md
- Use pyproject.toml: cloud/deployment/setup_pyproject.md
- Use JavaScript: cloud/deployment/setup_javascript.md
- Use custom Docker: cloud/deployment/custom_docker.md
- Rebuild graph at rutime: cloud/deployment/graph_rebuild.md
- Deploy to production:
- Cloud SaaS: cloud/deployment/cloud.md
- Self-Hosted Data Plane: cloud/deployment/self_hosted_data_plane.md
- Self-Hosted Control Plane: cloud/deployment/self_hosted_control_plane.md
- Standalone Container: cloud/deployment/standalone_container.md
- Platform capabilities:
- LangGraph Studio:
- Quickstart: cloud/how-tos/studio/quick_start.md
- cloud/how-tos/invoke_studio.md
- cloud/how-tos/studio/manage_assistants.md
- cloud/how-tos/threads_studio.md
- cloud/how-tos/iterate_graph_studio.md
- cloud/how-tos/studio/run_evals.md
- cloud/how-tos/clone_traces_studio.md
- cloud/how-tos/datasets_studio.md
- Authentication & access control:
- Overview: concepts/auth.md
- how-tos/auth/custom_auth.md
- how-tos/auth/openapi_security.md
- how-tos/auth/custom_auth.md
- how-tos/auth/openapi_security.md
- Assistants:
- Overview: concepts/assistants.md
- cloud/how-tos/configuration_cloud.md
- Threads: cloud/how-tos/use_threads.md
- Runs:
- cloud/how-tos/background_run.md
- cloud/how-tos/same-thread.md
- cloud/how-tos/cron_jobs.md
- cloud/how-tos/stateless_runs.md
- cloud/how-tos/configurable_headers.md
- Double-texting:
- Overview: concepts/double_texting.md
- cloud/how-tos/interrupt_concurrent.md
- cloud/how-tos/rollback_concurrent.md
- cloud/how-tos/reject_concurrent.md
- cloud/how-tos/enqueue_concurrent.md
- Webhooks:
- Overview: cloud/concepts/webhooks.md
- Use webhooks: cloud/how-tos/webhooks.md
- Cron jobs:
- Overview: cloud/concepts/cron_jobs.md
- cloud/how-tos/configuration_cloud.md
- Threads: cloud/how-tos/use_threads.md
- Runs:
- cloud/how-tos/background_run.md
- cloud/how-tos/same-thread.md
- cloud/how-tos/cron_jobs.md
- cloud/how-tos/stateless_runs.md
- cloud/how-tos/configurable_headers.md
- Double-texting:
- cloud/how-tos/interrupt_concurrent.md
- cloud/how-tos/rollback_concurrent.md
- cloud/how-tos/reject_concurrent.md
- cloud/how-tos/enqueue_concurrent.md
- Webhooks: cloud/how-tos/webhooks.md
- Cron jobs: cloud/how-tos/cron_jobs.md
- Server customization:
- how-tos/http/custom_lifespan.md
- how-tos/http/custom_middleware.md
- how-tos/http/custom_routes.md
- how-tos/http/custom_lifespan.md
- how-tos/http/custom_middleware.md
- how-tos/http/custom_routes.md
- Data management:
- Add semantic search: cloud/deployment/semantic_search.md
- Add TTLs: how-tos/ttl/configure_ttl.md
- Deployment:
- Overview: concepts/deployment_options.md
- Quickstart: cloud/quick_start.md
- Set up your application:
- Use requirements.txt: cloud/deployment/setup.md
- Use pyproject.toml: cloud/deployment/setup_pyproject.md
- Use JavaScript: cloud/deployment/setup_javascript.md
- Use custom Docker: cloud/deployment/custom_docker.md
- Rebuild graph at runtime: cloud/deployment/graph_rebuild.md
- Deployment options:
- Cloud SaaS: concepts/langgraph_cloud.md
- Self-Hosted Data Plane: concepts/langgraph_self_hosted_data_plane.md
- Self-Hosted Control Plane: concepts/langgraph_self_hosted_control_plane.md
- Standalone Container: concepts/langgraph_standalone_container.md
- Deploy to production:
- Cloud SaaS: cloud/deployment/cloud.md
- Self-Hosted Data Plane: cloud/deployment/self_hosted_data_plane.md
- Self-Hosted Control Plane: cloud/deployment/self_hosted_control_plane.md
- Standalone Container: cloud/deployment/standalone_container.md
- Reference:
- reference/index.md
@@ -265,6 +267,7 @@ nav:
- Environment variables: cloud/reference/env_var.md
- Examples:
- agents/run_agents.md
- Template applications: concepts/template_applications.md # TODO: make tutorial
- Agentic RAG: tutorials/rag/langgraph_agentic_rag.ipynb
- Agent Supervisor: tutorials/multi_agent/agent_supervisor.ipynb
@@ -276,7 +279,6 @@ nav:
- tutorials/auth/getting_started.md
- tutorials/auth/resource_auth.md
- tutorials/auth/add_auth_server.md
- Use RemoteGraph: how-tos/use-remote-graph.md
- Deploy CrewAI, AutoGen, and other frameworks: how-tos/autogen-langgraph-platform.ipynb
# combine with how-tos/autogen-integration.ipynb
- Front-end and generative UI:
@@ -289,7 +291,6 @@ nav:
- Case studies: adopters.md
- concepts/faq.md
- llms.txt: llms-txt-overview.md
- LangChain Forum: https://forum.langchain.com/
- Troubleshooting:
- Errors:
- troubleshooting/errors/index.md
Generated
+3 -3
View File
@@ -2590,7 +2590,7 @@ wheels = [
[[package]]
name = "langgraph"
version = "0.5.0"
version = "0.5.0rc1"
source = { editable = "../libs/langgraph" }
dependencies = [
{ name = "langchain-core" },
@@ -2894,7 +2894,7 @@ test = [
[[package]]
name = "langgraph-prebuilt"
version = "0.5.1"
version = "0.5.0rc0"
source = { editable = "../libs/prebuilt" }
dependencies = [
{ name = "langchain-core" },
@@ -2925,7 +2925,7 @@ dev = [
[[package]]
name = "langgraph-sdk"
version = "0.1.72"
version = "0.1.70"
source = { editable = "../libs/sdk-py" }
dependencies = [
{ name = "httpx" },
+6 -5
View File
@@ -12,7 +12,7 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=2.0.21,<3.0.0",
"langgraph-checkpoint>=2.0.21",
"orjson>=3.10.1",
"psycopg>=3.2.0",
"psycopg-pool>=3.2.0",
@@ -23,14 +23,15 @@ Repository = "https://www.github.com/langchain-ai/langgraph"
[dependency-groups]
dev = [
"ruff>=0.12.0",
"ruff",
"codespell",
"pytest>=8.0.0",
"pytest",
"anyio",
"pytest-asyncio",
"pytest-mock",
"mypy>=1.15.0",
"psycopg[binary]>=3.2.2",
"mypy",
"psycopg[binary]",
"langgraph-checkpoint",
"pytest-watcher",
]
+30 -28
View File
@@ -325,15 +325,15 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy", specifier = ">=1.15.0" },
{ name = "numpy", specifier = ">=2" },
{ name = "pandas", specifier = ">=2" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
{ name = "pytest", specifier = ">=8.0.0" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "ruff", specifier = ">=0.12.0" },
{ name = "ruff" },
]
[[package]]
@@ -351,6 +351,7 @@ dependencies = [
dev = [
{ name = "anyio" },
{ name = "codespell" },
{ name = "langgraph-checkpoint" },
{ name = "mypy" },
{ name = "psycopg", extra = ["binary"] },
{ name = "pytest" },
@@ -372,13 +373,14 @@ requires-dist = [
dev = [
{ name = "anyio" },
{ name = "codespell" },
{ name = "mypy", specifier = ">=1.15.0" },
{ name = "psycopg", extras = ["binary"], specifier = ">=3.2.2" },
{ name = "pytest", specifier = ">=8.0.0" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "mypy" },
{ name = "psycopg", extras = ["binary"] },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "ruff", specifier = ">=0.12.0" },
{ name = "ruff" },
]
[[package]]
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[[package]]
@@ -223,9 +223,10 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
Yields:
An SQLite cursor object.
"""
if not self.is_setup:
await self.setup()
async with self.lock:
if not self.is_setup:
await self.setup()
if transaction:
await self.conn.execute("BEGIN")
@@ -981,9 +981,10 @@ class SqliteStore(BaseSqliteStore, BaseStore):
Args:
transaction (bool): whether to use transaction for the DB operations
"""
if not self.is_setup:
self.setup()
with self.lock:
if not self.is_setup:
self.setup()
if transaction:
self.conn.execute("BEGIN")
@@ -1001,10 +1002,10 @@ class SqliteStore(BaseSqliteStore, BaseStore):
This method creates the necessary tables in the SQLite database if they don't
already exist and runs database migrations. It should be called before first use.
"""
if self.is_setup:
return
with self.lock:
if self.is_setup:
return
# Create migrations table if it doesn't exist
self.conn.executescript(
"""
+5 -4
View File
@@ -12,7 +12,7 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=2.0.21,<3.0.0",
"langgraph-checkpoint>=2.0.21",
"aiosqlite>=0.20",
"sqlite-vec>=0.1.6",
]
@@ -22,13 +22,14 @@ Repository = "https://www.github.com/langchain-ai/langgraph"
[dependency-groups]
dev = [
"ruff>=0.12.0",
"ruff",
"codespell",
"pytest>=8.0.0",
"pytest",
"pytest-asyncio",
"pytest-mock",
"pytest-watcher",
"mypy>=1.15.0",
"mypy",
"langgraph-checkpoint",
"pytest-retry>=1.7.0",
]
+29 -27
View File
@@ -337,15 +337,15 @@ requires-dist = [
dev = [
{ name = "codespell" },
{ name = "dataclasses-json" },
{ name = "mypy", specifier = ">=1.15.0" },
{ name = "numpy", specifier = ">=2" },
{ name = "pandas", specifier = ">=2" },
{ name = "mypy" },
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
{ name = "pytest", specifier = ">=8.0.0" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watcher" },
{ name = "ruff", specifier = ">=0.12.0" },
{ name = "ruff" },
]
[[package]]
@@ -361,6 +361,7 @@ dependencies = [
[package.dev-dependencies]
dev = [
{ name = "codespell" },
{ name = "langgraph-checkpoint" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
@@ -380,13 +381,14 @@ requires-dist = [
[package.metadata.requires-dev]
dev = [
{ name = "codespell" },
{ name = "mypy", specifier = ">=1.15.0" },
{ name = "pytest", specifier = ">=8.0.0" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-retry", specifier = ">=1.7.0" },
{ name = "pytest-watcher" },
{ name = "ruff", specifier = ">=0.12.0" },
{ name = "ruff" },
]
[[package]]
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name = "types-pytz"
version = "2025.2.0.20250516"
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name = "typing-extensions"
version = "4.14.0"
version = "4.13.2"
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version = "0.4.0"
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+2 -2
View File
@@ -285,7 +285,7 @@ class AnswerWithCitations(BaseModel):
@property
def as_str(self) -> str:
return f"{self.answer}\n\nCitations:\n\n" + "\n".join(
f"[{i + 1}]: {url}" for i, url in enumerate(self.cited_urls)
f"[{i+1}]: {url}" for i, url in enumerate(self.cited_urls)
)
@@ -553,7 +553,7 @@ async def conduct_interviews(state: ResearchState):
def format_conversation(interview_state):
messages = interview_state["messages"]
convo = "\n".join(f"{m.name}: {m.content}" for m in messages)
return f"Conversation with {interview_state['editor'].name}\n\n" + convo
return f'Conversation with {interview_state["editor"].name}\n\n' + convo
async def refine_outline(state: ResearchState):
+1 -1
View File
@@ -208,7 +208,7 @@ def up(
):
click.secho("Starting LangGraph API server...", fg="green")
click.secho(
"""For local dev, requires env var LANGSMITH_API_KEY with access to LangGraph Platform.
"""For local dev, requires env var LANGSMITH_API_KEY with access to LangGraph Platform closed beta.
For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KEY.""",
)
with Runner() as runner, Progress(message="Pulling...") as set:
+3 -2
View File
@@ -602,7 +602,8 @@ def validate_config(config: Config) -> Config:
if not config["graphs"]:
raise click.UsageError(
"No graphs found in config. Add at least one graph to 'graphs' dictionary."
"No graphs found in config. "
"Add at least one graph to 'graphs' dictionary."
)
# Validate image_distro config
@@ -1180,7 +1181,7 @@ def python_config_to_docker(
)
for reqpath, destpath in local_deps.pip_reqs
)
pip_reqs_str += f"{os.linesep}RUN {pip_install} {' '.join('-r ' + r for _, r in local_deps.pip_reqs)}"
pip_reqs_str += f'{os.linesep}RUN {pip_install} {" ".join("-r " + r for _,r in local_deps.pip_reqs)}'
pip_reqs_str = f"""# -- Installing local requirements --
{pip_reqs_str}
# -- End of local requirements install --"""
+1 -1
View File
@@ -123,7 +123,7 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
)
except error.HTTPError as e:
click.secho(
f"❌ Error: Failed to download repository.\nDetails: {e}\n",
f"❌ Error: Failed to download repository.\n" f"Details: {e}\n",
fg="red",
bold=True,
err=True,
+5 -5
View File
@@ -18,8 +18,8 @@ dependencies = [
[project.optional-dependencies]
inmem = [
"langgraph-api>=0.2.67,<0.3.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.3.0,<0.4.0 ; python_version >= '3.11'",
"langgraph-api>=0.2.67 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.3.0 ; python_version >= '3.11'",
"python-dotenv>=0.8.0",
]
@@ -31,13 +31,13 @@ langgraph = "langgraph_cli.cli:cli"
[dependency-groups]
dev = [
"ruff>=0.12.0",
"ruff",
"codespell",
"pytest>=8.0.0",
"pytest",
"pytest-asyncio",
"pytest-mock",
"pytest-watch",
"mypy>=1.15.0",
"mypy",
"msgspec",
]
+6 -6
View File
@@ -280,9 +280,9 @@ def test_version_option() -> None:
assert result.exit_code == 0, "Expected exit code 0 for --version option"
# Check that the output contains the correct version information
assert "LangGraph CLI, version" in result.output, (
"Expected version information in output"
)
assert (
"LangGraph CLI, version" in result.output
), "Expected version information in output"
def test_dockerfile_command_basic() -> None:
@@ -570,6 +570,6 @@ def test_build_generate_proper_build_context():
build_context_pattern = re.compile(r"--build-context\s+(\w+)=([^\s]+)")
build_contexts = re.findall(build_context_pattern, result.output)
assert len(build_contexts) == 2, (
f"Expected 2 build contexts, but found {len(build_contexts)}"
)
assert (
len(build_contexts) == 2
), f"Expected 2 build contexts, but found {len(build_contexts)}"
@@ -42,18 +42,18 @@ def test_create_new_with_mocked_download(mock_urlopen: MagicMock) -> None:
# Verify CLI command execution and success
assert result.exit_code == 0, result.output
assert "New project created" in result.output, (
"Expected success message in output."
)
assert (
"New project created" in result.output
), "Expected success message in output."
# Verify that the directory is not empty
assert os.listdir(temp_dir), "Expected files to be created in temp directory."
# Check for a known file in the extracted content
extracted_files = [f.name for f in Path(temp_dir).glob("*")]
assert "test-file.txt" in extracted_files, (
"Expected 'test-file.txt' in the extracted content."
)
assert (
"test-file.txt" in extracted_files
), "Expected 'test-file.txt' in the extracted content."
def test_invalid_template_id() -> None:
@@ -65,6 +65,6 @@ def test_invalid_template_id() -> None:
# Verify the command failed and proper message is displayed
assert result.exit_code != 0, "Expected non-zero exit code for invalid template."
assert "Template 'invalid-template-id' not found" in result.output, (
"Expected error message in output."
)
assert (
"Template 'invalid-template-id' not found" in result.output
), "Expected error message in output."
+27 -37
View File
@@ -530,8 +530,8 @@ dev = [
[package.metadata]
requires-dist = [
{ name = "click", specifier = ">=8.1.7" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.2.67,<0.3.0" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.3.0,<0.4.0" },
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.2.67" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and extra == 'inmem'", specifier = ">=0.3.0" },
{ name = "langgraph-sdk", marker = "python_full_version >= '3.11'", specifier = ">=0.1.0" },
{ name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
]
@@ -541,12 +541,12 @@ provides-extras = ["inmem"]
dev = [
{ name = "codespell" },
{ name = "msgspec" },
{ name = "mypy", specifier = ">=1.15.0" },
{ name = "pytest", specifier = ">=8.0.0" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watch" },
{ name = "ruff", specifier = ">=0.12.0" },
{ name = "ruff" },
]
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version = "2.10.1"
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View File
@@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
- [LangChain](https://python.langchain.com/docs/introduction/) Provides integrations and composable components to streamline LLM application development.
> [!NOTE]
@@ -17,7 +17,6 @@ from typing import (
overload,
)
# meaningless change to trigger tests
from typing_extensions import Unpack
from langgraph._typing import UNSET, DeprecatedKwargs
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@@ -13,12 +13,11 @@ license = "MIT"
license-files = ['LICENSE']
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File diff suppressed because one or more lines are too long
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@@ -1216,11 +1216,14 @@ dependencies = [
dev = [
{ name = "httpx" },
{ name = "jupyter" },
{ name = "langgraph-checkpoint" },
{ name = "langgraph-checkpoint-postgres" },
{ name = "langgraph-checkpoint-sqlite" },
{ name = "langgraph-cli", extra = ["inmem"] },
{ name = "langgraph-prebuilt" },
{ name = "langgraph-sdk" },
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{ name = "psycopg", extra = ["binary"] },
{ name = "py-spy" },
{ name = "pycryptodome" },
{ name = "pyperf" },
@@ -1249,26 +1252,29 @@ requires-dist = [
[package.metadata.requires-dev]
dev = [
{ name = "httpx", specifier = ">=0.26.0" },
{ name = "jupyter", specifier = ">=1.0.0" },
{ name = "httpx" },
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{ name = "langgraph-checkpoint-postgres", editable = "../checkpoint-postgres" },
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@@ -1321,15 +1327,15 @@ requires-dist = [
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{ name = "pytest-watcher" },
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]
[[package]]
@@ -1355,13 +1361,14 @@ requires-dist = [
dev = [
{ name = "anyio" },
{ name = "codespell" },
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@@ -1384,13 +1391,14 @@ requires-dist = [
[package.metadata.requires-dev]
dev = [
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@@ -1415,7 +1423,7 @@ inmem = [
[[package]]
name = "langgraph-prebuilt"
version = "0.5.2"
version = "0.5.1"
source = { editable = "../prebuilt" }
dependencies = [
{ name = "langchain-core" },
@@ -1424,7 +1432,7 @@ dependencies = [
[package.metadata]
requires-dist = [
{ name = "langchain-core", specifier = ">=0.3.67" },
{ name = "langchain-core", specifier = ">=0.3.22" },
{ name = "langgraph-checkpoint", editable = "../checkpoint" },
]
@@ -1432,14 +1440,15 @@ requires-dist = [
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{ name = "codespell" },
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{ name = "langgraph-checkpoint", editable = "../checkpoint" },
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@@ -1478,17 +1487,17 @@ requires-dist = [
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name = "langsmith"
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version = "0.3.43"
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@@ -1996,7 +2005,7 @@ wheels = [
[package.optional-dependencies]
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@@ -30,10 +30,7 @@ from langchain_core.runnables.config import (
)
from langchain_core.tools import BaseTool, InjectedToolArg
from langchain_core.tools import tool as create_tool
from langchain_core.tools.base import (
TOOL_MESSAGE_BLOCK_TYPES,
get_all_basemodel_annotations,
)
from langchain_core.tools.base import get_all_basemodel_annotations
from pydantic import BaseModel
from typing_extensions import Annotated, get_args, get_origin
@@ -49,11 +46,12 @@ TOOL_CALL_ERROR_TEMPLATE = "Error: {error}\n Please fix your mistakes."
def msg_content_output(output: Any) -> Union[str, list[dict]]:
recognized_content_block_types = ("image", "image_url", "text", "json")
if isinstance(output, str):
return output
elif isinstance(output, list) and all(
[
isinstance(x, dict) and x.get("type") in TOOL_MESSAGE_BLOCK_TYPES
isinstance(x, dict) and x.get("type") in recognized_content_block_types
for x in output
]
):
+7 -6
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-prebuilt"
version = "0.5.2"
version = "0.5.1"
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
authors = []
requires-python = ">=3.9"
@@ -12,8 +12,8 @@ readme = "README.md"
license = "MIT"
license-files = ['LICENSE']
dependencies = [
"langgraph-checkpoint>=2.1.0,<3.0.0",
"langchain-core>=0.3.67",
"langgraph-checkpoint>=2.1.0",
"langchain-core>=0.3.22",
]
[project.urls]
@@ -21,14 +21,15 @@ Repository = "https://www.github.com/langchain-ai/langgraph"
[dependency-groups]
dev = [
"ruff>=0.12.0",
"ruff",
"codespell",
"pytest>=8.0.0",
"pytest",
"pytest-asyncio",
"pytest-mock",
"pytest-watcher",
"mypy>=1.15.0",
"mypy",
"langgraph",
"langgraph-checkpoint",
"langgraph-checkpoint-sqlite",
"langgraph-checkpoint-postgres",
"syrupy",
+70 -63
View File
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@@ -343,26 +343,29 @@ requires-dist = [
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@@ -385,15 +388,15 @@ requires-dist = [
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@@ -419,13 +422,14 @@ requires-dist = [
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@@ -448,18 +452,19 @@ requires-dist = [
[package.metadata.requires-dev]
dev = [
{ name = "codespell" },
{ name = "mypy", specifier = ">=1.15.0" },
{ name = "pytest", specifier = ">=8.0.0" },
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name = "langgraph-prebuilt"
version = "0.5.2"
version = "0.5.1"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -470,6 +475,7 @@ dependencies = [
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{ name = "codespell" },
{ name = "langgraph" },
{ name = "langgraph-checkpoint" },
{ name = "langgraph-checkpoint-postgres" },
{ name = "langgraph-checkpoint-sqlite" },
{ name = "mypy" },
@@ -483,7 +489,7 @@ dev = [
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{ name = "langchain-core", specifier = ">=0.3.22" },
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@@ -491,14 +497,15 @@ requires-dist = [
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@@ -520,17 +527,17 @@ requires-dist = [
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+2 -5
View File
@@ -1,6 +1,6 @@
{
"name": "@langchain/langgraph-sdk",
"version": "0.0.88",
"version": "0.0.86",
"description": "Client library for interacting with the LangGraph API",
"type": "module",
"packageManager": "yarn@1.22.19",
@@ -22,9 +22,7 @@
"uuid": "^9.0.0"
},
"devDependencies": {
"@langchain/langgraph-api": "~0.0.41",
"@langchain/core": "^0.3.61",
"@langchain/langgraph": "^0.3.5",
"@langchain/core": "^0.3.31",
"@langchain/scripts": "^0.1.4",
"@testing-library/dom": "^10.4.0",
"@testing-library/jest-dom": "^6.6.3",
@@ -37,7 +35,6 @@
"@types/uuid": "^9.0.1",
"@vitejs/plugin-react": "^4.4.1",
"concat-md": "^0.5.1",
"hono": "^4.8.2",
"jsdom": "^26.1.0",
"msw": "^2.8.2",
"prettier": "^3.2.5",
+4 -34
View File
@@ -1014,8 +1014,8 @@ export class RunsClient<
const stream: ReadableStream<{ event: any; data: any }> = (
response.body || new ReadableStream({ start: (ctrl) => ctrl.close() })
)
.pipeThrough(BytesLineDecoder())
.pipeThrough(SSEDecoder());
.pipeThrough(new BytesLineDecoder())
.pipeThrough(new SSEDecoder());
yield* IterableReadableStream.fromReadableStream(stream);
}
@@ -1318,8 +1318,8 @@ export class RunsClient<
const stream: ReadableStream<{ event: string; data: any }> = (
response.body || new ReadableStream({ start: (ctrl) => ctrl.close() })
)
.pipeThrough(BytesLineDecoder())
.pipeThrough(SSEDecoder());
.pipeThrough(new BytesLineDecoder())
.pipeThrough(new SSEDecoder());
yield* IterableReadableStream.fromReadableStream(stream);
}
@@ -1658,30 +1658,7 @@ export class Client<
*/
public "~ui": UiClient;
/**
* @internal Used to obtain a stable key representing the client.
*/
private "~configHash": string | undefined;
constructor(config?: ClientConfig) {
this["~configHash"] = (() =>
JSON.stringify({
apiUrl: config?.apiUrl,
apiKey: config?.apiKey,
timeoutMs: config?.timeoutMs,
defaultHeaders: config?.defaultHeaders,
maxConcurrency: config?.callerOptions?.maxConcurrency,
maxRetries: config?.callerOptions?.maxRetries,
callbacks: {
onFailedResponseHook:
config?.callerOptions?.onFailedResponseHook != null,
onRequest: config?.onRequest != null,
fetch: config?.callerOptions?.fetch != null,
},
}))();
this.assistants = new AssistantsClient(config);
this.threads = new ThreadsClient(config);
this.runs = new RunsClient(config);
@@ -1690,10 +1667,3 @@ export class Client<
this["~ui"] = new UiClient(config);
}
}
/**
* @internal Used to obtain a stable key representing the client.
*/
export function getClientConfigHash(client: Client): string | undefined {
return client["~configHash"];
}
+28 -131
View File
@@ -1,7 +1,7 @@
/* __LC_ALLOW_ENTRYPOINT_SIDE_EFFECTS__ */
"use client";
import { Client, getClientConfigHash, type ClientConfig } from "../client.js";
import { Client, type ClientConfig } from "../client.js";
import type {
Command,
DisconnectMode,
@@ -31,7 +31,7 @@ import type {
} from "../types.stream.js";
import {
type RefObject,
type MutableRefObject,
useCallback,
useEffect,
useMemo,
@@ -316,21 +316,16 @@ function fetchHistory<StateType extends Record<string, unknown>>(
function useThreadHistory<StateType extends Record<string, unknown>>(
threadId: string | undefined | null,
client: Client,
clearCallbackRef: RefObject<(() => void) | undefined>,
submittingRef: RefObject<boolean>,
clearCallbackRef: MutableRefObject<(() => void) | undefined>,
submittingRef: MutableRefObject<boolean>,
) {
const [history, setHistory] = useState<ThreadState<StateType>[]>([]);
const clientHash = getClientConfigHash(client);
const clientRef = useRef(client);
clientRef.current = client;
const fetcher = useCallback(
(
threadId: string | undefined | null,
): Promise<ThreadState<StateType>[]> => {
if (threadId != null) {
const client = clientRef.current;
return fetchHistory<StateType>(client, threadId).then((history) => {
setHistory(history);
return history;
@@ -347,7 +342,7 @@ function useThreadHistory<StateType extends Record<string, unknown>>(
useEffect(() => {
if (submittingRef.current) return;
fetcher(threadId);
}, [fetcher, clientHash, submittingRef, threadId]);
}, [fetcher, submittingRef, threadId]);
return {
data: history,
@@ -511,31 +506,6 @@ export interface UseStreamOptions<
*/
onDebugEvent?: (data: DebugStreamEvent["data"]) => void;
/**
* Callback that is called when the stream is stopped by the user.
* Provides a mutate function to update the stream state immediately
* without requiring a server roundtrip.
*
* @example
* ```typescript
* onStop: ({ mutate }) => {
* mutate((prev) => ({
* ...prev,
* ui: prev.ui?.map(component =>
* component.props.isLoading
* ? { ...component, props: { ...component.props, stopped: true, isLoading: false }}
* : component
* )
* }));
* }
* ```
*/
onStop?: (options: {
mutate: (
update: Partial<StateType> | ((prev: StateType) => Partial<StateType>),
) => void;
}) => void;
/**
* The ID of the thread to fetch history and current values from.
*/
@@ -548,17 +518,6 @@ export interface UseStreamOptions<
/** Will reconnect the stream on mount */
reconnectOnMount?: boolean | (() => RunMetadataStorage);
/**
* Initial values to display immediately when loading a thread.
* Useful for displaying cached thread data while official history loads.
* These values will be replaced when official thread data is fetched.
*
* Note: UI components from initialValues will render immediately if they're
* predefined in LoadExternalComponent's components prop, providing instant
* cached UI display without server fetches.
*/
initialValues?: StateType | null;
}
interface RunMetadataStorage {
@@ -657,11 +616,7 @@ export interface UseStream<
/**
* Join an active stream.
*/
joinStream: (
runId: string,
lastEventId?: string,
options?: { streamMode?: StreamMode | StreamMode[] },
) => Promise<void>;
joinStream: (runId: string) => Promise<void>;
}
type ConfigWithConfigurable<ConfigurableType extends Record<string, unknown>> =
@@ -692,61 +647,6 @@ interface SubmitOptions<
*/
streamSubgraphs?: boolean;
streamResumable?: boolean;
/**
* The ID to use when creating a new thread. When provided, this ID will be used
* for thread creation when threadId is `null` or `undefined`.
* This enables optimistic UI updates where you know the thread ID
* before the thread is actually created.
*/
threadId?: string;
}
function useStreamValuesState<StateType extends Record<string, unknown>>() {
type Kind = "stream" | "stop";
type Values = StateType | null;
type Update = Values | ((prev: Values, kind?: Kind) => Values);
type Mutate = Partial<StateType> | ((prev: StateType) => Partial<StateType>);
const [values, setValues] = useState<[values: StateType, kind: Kind] | null>(
null,
);
const setStreamValues = useCallback(
(values: Update, kind: Kind = "stream") => {
if (typeof values === "function") {
setValues((prevTuple) => {
const [prevValues, prevKind] = prevTuple ?? [null, "stream"];
const next = values(prevValues, prevKind);
if (next == null) return null;
return [next, kind] as [StateType, Kind];
});
return;
}
if (values == null) setValues(null);
setValues([values, kind] as [StateType, Kind]);
},
[],
);
const mutate = useCallback(
(kind: Kind, serverValues: StateType) => (update: Mutate) => {
setStreamValues((clientValues) => {
const prev = { ...serverValues, ...clientValues };
const next = typeof update === "function" ? update(prev) : update;
return { ...prev, ...next };
}, kind);
},
[setStreamValues],
);
return [values?.[0] ?? null, setStreamValues, mutate] as [
Values,
(update: Update, kind?: Kind) => void,
(kind: Kind, serverValues: StateType) => (update: Mutate) => void,
];
}
export function useStream<
@@ -812,8 +712,7 @@ export function useStream<
const [isLoading, setIsLoading] = useState(false);
const [streamError, setStreamError] = useState<unknown>(undefined);
const [streamValues, setStreamValues, getMutateFn] =
useStreamValuesState<StateType>();
const [streamValues, setStreamValues] = useState<StateType | null>(null);
const messageManagerRef = useRef(new MessageTupleManager());
const submittingRef = useRef(false);
@@ -884,9 +783,7 @@ export function useStream<
);
const threadHead: ThreadState<StateType> | undefined = flatHistory.at(-1);
const historyValues =
threadHead?.values ?? options.initialValues ?? ({} as StateType);
const historyValues = threadHead?.values ?? ({} as StateType);
const historyError = (() => {
const error = threadHead?.tasks?.at(-1)?.error;
if (error == null) return undefined;
@@ -951,8 +848,6 @@ export function useStream<
if (runId) client.runs.cancel(threadId, runId);
runMetadataStorage.removeItem(`lg:stream:${threadId}`);
}
options?.onStop?.({ mutate: getMutateFn("stop", historyValues) });
};
async function consumeStream(
@@ -985,7 +880,15 @@ export function useStream<
if (event === "updates") options.onUpdateEvent?.(data);
if (event === "custom")
options.onCustomEvent?.(data, {
mutate: getMutateFn("stream", historyValues),
mutate: (update) =>
setStreamValues((prev) => {
// should not happen
if (prev == null) return prev;
return {
...prev,
...(typeof update === "function" ? update(prev) : update),
};
}),
});
if (event === "metadata") options.onMetadataEvent?.(data);
if (event === "events") options.onLangChainEvent?.(data);
@@ -1027,11 +930,8 @@ export function useStream<
// TODO: stream created checkpoints to avoid an unnecessary network request
const result = await run.onSuccess();
setStreamValues((values, kind) => {
// Do not clear out the user values set on `stop`.
if (kind === "stop") return values;
return null;
});
setStreamValues(null);
if (streamError != null) throw streamError;
const lastHead = result.at(0);
@@ -1057,18 +957,13 @@ export function useStream<
}
}
const joinStream = async (
runId: string,
lastEventId?: string,
options?: { streamMode?: StreamMode | StreamMode[] },
) => {
const joinStream = async (runId: string, lastEventId?: string) => {
lastEventId ??= "-1";
if (!threadId) return;
await consumeStream(async (signal: AbortSignal) => {
const stream = client.runs.joinStream(threadId, runId, {
signal,
lastEventId,
streamMode: options?.streamMode,
}) as AsyncGenerator<EventStreamEvent>;
return {
@@ -1094,24 +989,26 @@ export function useStream<
if (newPath != null) setBranch(newPath ?? "");
// Assumption: we're setting the initial value
// Used for instant feedback
setStreamValues(() => {
const values = { ...historyValues };
if (submitOptions?.optimisticValues != null) {
return {
...historyValues,
...values,
...(typeof submitOptions.optimisticValues === "function"
? submitOptions.optimisticValues(historyValues)
? submitOptions.optimisticValues(values)
: submitOptions.optimisticValues),
};
}
return { ...historyValues };
return values;
});
let usableThreadId = threadId;
if (!usableThreadId) {
const thread = await client.threads.create({
threadId: submitOptions?.threadId,
});
const thread = await client.threads.create();
onThreadId(thread.thread_id);
usableThreadId = thread.thread_id;
}
+16 -16
View File
@@ -20,7 +20,7 @@ describe("BytesLineDecoder", () => {
test("handles single line with newline", async () => {
const input = createStream([textEncoder.encode("hello\n")]);
const decoded = input.pipeThrough(BytesLineDecoder());
const decoded = input.pipeThrough(new BytesLineDecoder());
const results = await gather(decoded);
expect(results.length).toBe(1);
@@ -29,7 +29,7 @@ describe("BytesLineDecoder", () => {
test("handles multiple lines", async () => {
const input = createStream([textEncoder.encode("line1\nline2\nline3\n")]);
const decoded = input.pipeThrough(BytesLineDecoder());
const decoded = input.pipeThrough(new BytesLineDecoder());
const results = await gather(decoded);
expect(results.length).toBe(3);
@@ -44,7 +44,7 @@ describe("BytesLineDecoder", () => {
textEncoder.encode("ne1\nli"),
textEncoder.encode("ne2\n"),
]);
const decoded = input.pipeThrough(BytesLineDecoder());
const decoded = input.pipeThrough(new BytesLineDecoder());
const results = await gather(decoded);
expect(results.length).toBe(2);
@@ -54,7 +54,7 @@ describe("BytesLineDecoder", () => {
test("handles CR LF line endings", async () => {
const input = createStream([textEncoder.encode("line1\r\nline2\r\n")]);
const decoded = input.pipeThrough(BytesLineDecoder());
const decoded = input.pipeThrough(new BytesLineDecoder());
const results = await gather(decoded);
expect(results.length).toBe(2);
@@ -67,7 +67,7 @@ describe("BytesLineDecoder", () => {
textEncoder.encode("line1\r"),
textEncoder.encode("\nline2\r\n"),
]);
const decoded = input.pipeThrough(BytesLineDecoder());
const decoded = input.pipeThrough(new BytesLineDecoder());
const results = await gather(decoded);
expect(results.length).toBe(2);
@@ -77,7 +77,7 @@ describe("BytesLineDecoder", () => {
test("handles stale line", async () => {
const input = createStream([textEncoder.encode("hello")]);
const decoded = input.pipeThrough(BytesLineDecoder());
const decoded = input.pipeThrough(new BytesLineDecoder());
const results = await gather(decoded);
expect(results.length).toBe(1);
@@ -99,8 +99,8 @@ describe("SSEDecoder", () => {
"\n",
]);
const decoded = input
.pipeThrough(BytesLineDecoder())
.pipeThrough(SSEDecoder());
.pipeThrough(new BytesLineDecoder())
.pipeThrough(new SSEDecoder());
const results = await gather(decoded);
expect(results.length).toBe(1);
@@ -117,8 +117,8 @@ describe("SSEDecoder", () => {
'data: {"message": "hello"}\n',
]);
const decoded = input
.pipeThrough(BytesLineDecoder())
.pipeThrough(SSEDecoder());
.pipeThrough(new BytesLineDecoder())
.pipeThrough(new SSEDecoder());
const results = await gather(decoded);
expect(results.length).toBe(1);
@@ -138,8 +138,8 @@ describe("SSEDecoder", () => {
"\n",
]);
const decoded = input
.pipeThrough(BytesLineDecoder())
.pipeThrough(SSEDecoder());
.pipeThrough(new BytesLineDecoder())
.pipeThrough(new SSEDecoder());
const results = await gather(decoded);
expect(results.length).toBe(2);
@@ -156,8 +156,8 @@ describe("SSEDecoder", () => {
test("end event without data", async () => {
const input = createStream(["event: test\n"]);
const decoded = input
.pipeThrough(BytesLineDecoder())
.pipeThrough(SSEDecoder());
.pipeThrough(new BytesLineDecoder())
.pipeThrough(new SSEDecoder());
const results = await gather(decoded);
expect(results.length).toBe(1);
@@ -170,8 +170,8 @@ describe("SSEDecoder", () => {
test("end event without newline", async () => {
const input = createStream(["event: end"]);
const decoded = input
.pipeThrough(BytesLineDecoder())
.pipeThrough(SSEDecoder());
.pipeThrough(new BytesLineDecoder())
.pipeThrough(new SSEDecoder());
const results = await gather(decoded);
expect(results.length).toBe(1);
+354 -361
View File
@@ -1,58 +1,14 @@
import "@testing-library/jest-dom/vitest";
import { describe, it, expect, beforeEach, afterEach, vi } from "vitest";
import { render, screen, waitFor } from "@testing-library/react";
import { userEvent } from "@testing-library/user-event";
import { setupServer } from "msw/node";
import { http } from "msw";
import { http, HttpResponse } from "msw";
import { useStream } from "../react/stream.js";
import type { Message } from "../types.messages.js";
import { StateGraph, MessagesAnnotation, START } from "@langchain/langgraph";
import { MemorySaver } from "@langchain/langgraph-checkpoint";
import { FakeStreamingChatModel } from "@langchain/core/utils/testing";
import { AIMessage } from "@langchain/core/messages";
import { createEmbedServer } from "@langchain/langgraph-api/experimental/embed";
import { randomUUID } from "node:crypto";
import { useState } from "react";
const threads = (() => {
const THREADS: Record<
string,
{ thread_id: string; metadata: Record<string, unknown> }
> = {};
return {
get: async (id: string) => THREADS[id],
put: async (
threadId: string,
{ metadata }: { metadata?: Record<string, unknown> },
) => {
THREADS[threadId] = { thread_id: threadId, metadata: metadata ?? {} };
},
delete: async (threadId: string) => {
delete THREADS[threadId];
},
};
})();
const checkpointer = new MemorySaver();
const model = new FakeStreamingChatModel({ responses: [new AIMessage("Hey")] });
const agent = new StateGraph(MessagesAnnotation)
.addNode("agent", async (state: { messages: Message[] }) => {
const response = await model.invoke(state.messages);
return { messages: [response] };
})
.addEdge(START, "agent")
.compile();
const app = createEmbedServer({ graph: { agent }, checkpointer, threads });
const server = setupServer(http.all("*", (ctx) => app.fetch(ctx.request)));
import "@testing-library/jest-dom/vitest";
function TestChatComponent() {
const { messages, isLoading, error, submit, stop } = useStream({
assistantId: "agent",
assistantId: "test-assistant",
apiKey: "test-api-key",
});
@@ -86,6 +42,353 @@ function TestChatComponent() {
);
}
// Mock server setup
const server = setupServer(
// Mock thread creation
http.post("*/threads", () => {
return HttpResponse.json({ thread_id: "test-thread-id" });
}),
// Mock stream endpoint
http.post("*/threads/:threadId/runs/stream", async () => {
const encoder = new TextEncoder();
const sendSSE = (event: string, data: unknown) =>
encoder.encode(`event: ${event}\ndata: ${JSON.stringify(data)}\n\n`);
const stream = new ReadableStream({
async start(controller) {
await new Promise((resolve) => setTimeout(resolve, 10));
controller.enqueue(
sendSSE("metadata", {
run_id: "1f03278a-1734-6518-80a4-3390db59f960",
attempt: 1,
}),
);
controller.enqueue(
sendSSE("values", {
messages: [
{
content: "Hey",
additional_kwargs: {},
response_metadata: {},
type: "human",
name: null,
id: "2d8c0d9f-a614-4e44-b474-6a56e9471cf5",
example: false,
},
],
}),
);
controller.enqueue(
sendSSE("messages", [
{
content: "",
additional_kwargs: {},
response_metadata: { model_name: "claude-3-7-sonnet-latest" },
type: "AIMessageChunk",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
tool_calls: [],
invalid_tool_calls: [],
tool_call_chunks: [],
},
{ run_attempt: 1 },
]),
);
controller.enqueue(
sendSSE("messages", [
{
content: "Hello",
additional_kwargs: {},
response_metadata: { model_name: "claude-3-7-sonnet-latest" },
type: "AIMessageChunk",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
tool_calls: [],
invalid_tool_calls: [],
tool_call_chunks: [],
},
{ run_attempt: 1 },
]),
);
controller.enqueue(
sendSSE("messages", [
{
content: "! How can I assist you today?",
additional_kwargs: {},
response_metadata: { model_name: "claude-3-7-sonnet-latest" },
type: "AIMessageChunk",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
tool_calls: [],
invalid_tool_calls: [],
tool_call_chunks: [],
},
{ run_attempt: 1 },
]),
);
controller.enqueue(
sendSSE("messages", [
{
content: "",
additional_kwargs: {},
response_metadata: {
stop_reason: "end_turn",
stop_sequence: null,
},
type: "AIMessageChunk",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
tool_calls: [],
invalid_tool_calls: [],
tool_call_chunks: [],
},
{ run_attempt: 1 },
]),
);
controller.enqueue(
sendSSE("values", {
messages: [
{
content: "Hey",
additional_kwargs: {},
response_metadata: {},
type: "human",
name: null,
id: "2d8c0d9f-a614-4e44-b474-6a56e9471cf5",
example: false,
},
{
content: "Hello! How can I assist you today?",
additional_kwargs: {},
response_metadata: {
model_name: "claude-3-7-sonnet-latest",
stop_reason: "end_turn",
stop_sequence: null,
},
type: "ai",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
tool_calls: [],
invalid_tool_calls: [],
},
],
}),
);
controller.close();
},
});
server.use(
http.post("*/threads/:threadId/history", () => {
return HttpResponse.json([
{
values: {
messages: [
{
content: "Hey",
additional_kwargs: {},
response_metadata: {},
type: "human",
name: null,
id: "2d8c0d9f-a614-4e44-b474-6a56e9471cf5",
example: false,
},
{
content: "Hello! How can I assist you today?",
additional_kwargs: {},
response_metadata: {
model_name: "claude-3-7-sonnet-latest",
stop_reason: "end_turn",
stop_sequence: null,
},
type: "ai",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
example: false,
tool_calls: [],
invalid_tool_calls: [],
},
],
},
next: [],
tasks: [],
metadata: {
run_attempt: 1,
source: "loop",
writes: {
agent: {
messages: [
{
content: "Hello! How can I assist you today?",
additional_kwargs: {},
response_metadata: {
model_name: "claude-3-7-sonnet-latest",
stop_reason: "end_turn",
stop_sequence: null,
},
type: "ai",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
example: false,
tool_calls: [],
invalid_tool_calls: [],
},
],
},
},
step: 1,
parents: {},
},
created_at: "2025-05-16T17:10:16.987537+00:00",
checkpoint: {
checkpoint_id: "1f03278a-38cf-6c68-8001-22b77ac43ff6",
thread_id: "b06fd92a-955c-446e-b233-7977716c4a9c",
checkpoint_ns: "",
},
parent_checkpoint: {
checkpoint_id: "1f03278a-206b-67c6-8000-ac34a0872e1a",
thread_id: "b06fd92a-955c-446e-b233-7977716c4a9c",
checkpoint_ns: "",
},
checkpoint_id: "1f03278a-38cf-6c68-8001-22b77ac43ff6",
parent_checkpoint_id: "1f03278a-206b-67c6-8000-ac34a0872e1a",
},
{
values: {
messages: [
{
content: "Hey",
additional_kwargs: {},
response_metadata: {},
type: "human",
name: null,
id: "2d8c0d9f-a614-4e44-b474-6a56e9471cf5",
example: false,
},
],
},
next: ["agent"],
tasks: [
{
id: "e1b7b52b-a78e-4b32-0c89-e06bf46405ed",
name: "agent",
path: ["__pregel_pull", "agent"],
error: null,
interrupts: [],
checkpoint: null,
state: null,
result: {
messages: [
{
content: "Hello! How can I assist you today?",
additional_kwargs: {},
response_metadata: {
model_name: "claude-3-7-sonnet-latest",
stop_reason: "end_turn",
stop_sequence: null,
},
type: "ai",
name: null,
id: "run-3e90ba6a-71d6-49e7-94a8-6bcac2fd0f40",
example: false,
tool_calls: [],
invalid_tool_calls: [],
},
],
},
},
],
metadata: {
run_attempt: 1,
},
created_at: "2025-05-16T17:10:14.429889+00:00",
checkpoint: {
checkpoint_id: "1f03278a-206b-67c6-8000-ac34a0872e1a",
thread_id: "b06fd92a-955c-446e-b233-7977716c4a9c",
checkpoint_ns: "",
},
parent_checkpoint: {
checkpoint_id: "1f03278a-2067-6590-bfff-3fb740466fc3",
thread_id: "b06fd92a-955c-446e-b233-7977716c4a9c",
checkpoint_ns: "",
},
checkpoint_id: "1f03278a-206b-67c6-8000-ac34a0872e1a",
parent_checkpoint_id: "1f03278a-2067-6590-bfff-3fb740466fc3",
},
{
values: {
messages: [],
},
next: ["__start__"],
tasks: [
{
id: "291af033-2ddc-3320-8bbc-28060057cae5",
name: "__start__",
path: ["__pregel_pull", "__start__"],
error: null,
interrupts: [],
checkpoint: null,
state: null,
result: {
messages: [
{
id: "2d8c0d9f-a614-4e44-b474-6a56e9471cf5",
type: "human",
content: "Hey",
},
],
},
},
],
metadata: {
run_attempt: 1,
source: "input",
writes: {
__start__: {
messages: [
{
id: "2d8c0d9f-a614-4e44-b474-6a56e9471cf5",
type: "human",
content: "Hey",
},
],
},
},
step: -1,
parents: {},
},
created_at: "2025-05-16T17:10:14.428191+00:00",
checkpoint: {
checkpoint_id: "1f03278a-2067-6590-bfff-3fb740466fc3",
thread_id: "b06fd92a-955c-446e-b233-7977716c4a9c",
checkpoint_ns: "",
},
parent_checkpoint: null,
checkpoint_id: "1f03278a-2067-6590-bfff-3fb740466fc3",
parent_checkpoint_id: null,
},
]);
}),
);
return new HttpResponse(stream, {
headers: { "Content-Type": "text/event-stream" },
});
}),
);
server.use;
describe("useStream", () => {
beforeEach(() => server.listen());
@@ -114,8 +417,10 @@ describe("useStream", () => {
// Wait for messages to appear
await waitFor(() => {
expect(screen.getByTestId("message-0")).toHaveTextContent("Hello");
expect(screen.getByTestId("message-1")).toHaveTextContent("Hey");
expect(screen.getByTestId("message-0")).toHaveTextContent("Hey");
expect(screen.getByTestId("message-1")).toHaveTextContent(
"Hello! How can I assist you today?",
);
});
// Check final state
@@ -135,316 +440,4 @@ describe("useStream", () => {
expect(screen.getByTestId("loading")).toHaveTextContent("Not loading");
});
});
it("displays initial values immediately and clears them when submitting", async () => {
const user = userEvent.setup();
function TestCachedComponent() {
const { messages, values, submit } = useStream<{
messages: Message[];
}>({
assistantId: "agent",
apiKey: "test-api-key",
initialValues: {
messages: [
{ id: "cached-1", type: "human", content: "Cached user message" },
{ id: "cached-2", type: "ai", content: "Cached AI response" },
],
},
});
return (
<div>
<div data-testid="messages">
{messages.map((msg, i) => (
<div
key={msg.id ?? i}
data-testid={
msg.id?.includes("cached")
? `message-cached-${i}`
: `message-${i}`
}
>
{typeof msg.content === "string"
? msg.content
: JSON.stringify(msg.content)}
</div>
))}
</div>
<div data-testid="values">{JSON.stringify(values)}</div>
<button
data-testid="submit"
onClick={() =>
submit({ messages: [{ content: "Hello", type: "human" }] })
}
>
Submit
</button>
</div>
);
}
render(<TestCachedComponent />);
// Should immediately show cached messages
expect(screen.getByTestId("message-cached-0")).toHaveTextContent(
"Cached user message",
);
expect(screen.getByTestId("message-cached-1")).toHaveTextContent(
"Cached AI response",
);
// Values should include initial values
expect(screen.getByTestId("values")).toHaveTextContent(
"Cached user message",
);
// Submitting should clear out the cached messages
await user.click(screen.getByTestId("submit"));
// Wait for messages to appear
await waitFor(() => {
expect(screen.getByTestId("message-0")).toHaveTextContent("Hello");
expect(screen.getByTestId("message-1")).toHaveTextContent("Hey");
});
});
it("accepts newThreadId option without errors", async () => {
const user = userEvent.setup();
const spy = vi.fn();
const predeterminedThreadId = randomUUID();
// Test that newThreadId option can be passed without causing errors
function TestNewThreadComponent() {
const stream = useStream<{ messages: Message[] }>({
assistantId: "agent",
apiKey: "test-api-key",
threadId: null, // Start with no thread
onThreadId: spy, // Mock callback
});
return (
<div>
<div data-testid="loading">
{stream.isLoading ? "Loading..." : "Not loading"}
</div>
<div data-testid="thread-id">
{stream.client ? "Client ready" : "No client"}
</div>
<button
data-testid="submit"
onClick={() =>
stream.submit({}, { threadId: predeterminedThreadId })
}
>
Submit
</button>
</div>
);
}
render(<TestNewThreadComponent />);
// Should render without errors
expect(screen.getByTestId("loading")).toHaveTextContent("Not loading");
expect(screen.getByTestId("thread-id")).toHaveTextContent("Client ready");
await user.click(screen.getByTestId("submit"));
expect(spy).toHaveBeenCalledWith(predeterminedThreadId);
expect(await threads.get(predeterminedThreadId)).toEqual({
thread_id: predeterminedThreadId,
metadata: {
graph_id: "agent",
assistant_id: "agent",
},
});
});
it("onStop callback is called when stop is called", async () => {
const user = userEvent.setup();
const onStopCallback = vi.fn();
function TestComponent() {
const { submit, stop } = useStream({
assistantId: "agent",
apiKey: "test-api-key",
onStop: onStopCallback,
});
return (
<div>
<button data-testid="submit" onClick={() => submit({})}>
Send
</button>
<button data-testid="stop" onClick={stop}>
Stop
</button>
</div>
);
}
render(<TestComponent />);
// Start a stream and stop it
await user.click(screen.getByTestId("submit"));
await user.click(screen.getByTestId("stop"));
// Verify onStop was called with mutate function
expect(onStopCallback).toHaveBeenCalledTimes(1);
expect(onStopCallback).toHaveBeenCalledWith(
expect.objectContaining({
mutate: expect.any(Function),
}),
);
});
it("onStop mutate function updates stream values immediately", async () => {
const user = userEvent.setup();
function TestComponent() {
const [stopped, setStopped] = useState(false);
const { submit, stop, messages } = useStream<{ messages: Message[] }>({
assistantId: "agent",
apiKey: "test-api-key",
onStop: ({ mutate }) => {
setStopped(true);
mutate((prev) => ({
...prev,
messages: [
...(prev.messages ?? []),
{ type: "ai", content: "Stream stopped" },
],
}));
},
});
return (
<div>
<div data-testid="stopped-status">
{stopped ? "Stopped" : "Not stopped"}
</div>
<div data-testid="messages">
{messages.map((msg, i) => (
<div key={msg.id ?? i} data-testid={`message-${i}`}>
{typeof msg.content === "string"
? msg.content
: JSON.stringify(msg.content)}
</div>
))}
</div>
<button data-testid="submit" onClick={() => submit({})}>
Send
</button>
<button data-testid="stop" onClick={stop}>
Stop
</button>
</div>
);
}
render(<TestComponent />);
// Initial state
expect(screen.getByTestId("stopped-status")).toHaveTextContent(
"Not stopped",
);
// Start and stop stream
await user.click(screen.getByTestId("submit"));
await user.click(screen.getByTestId("stop"));
// Verify state was updated immediately
await waitFor(() => {
expect(screen.getByTestId("stopped-status")).toHaveTextContent("Stopped");
expect(screen.getByTestId("message-0")).toHaveTextContent(
"Stream stopped",
);
});
});
it("onStop handles functional updates correctly", async () => {
const user = userEvent.setup();
function TestComponent() {
const { submit, stop, values } = useStream({
assistantId: "agent",
apiKey: "test-api-key",
initialValues: {
counter: 5,
items: ["item1", "item2"],
},
onStop: ({ mutate }) => {
mutate((prev: any) => ({
...prev,
counter: (prev.counter || 0) + 10,
items: [...(prev.items || []), "stopped"],
}));
},
});
return (
<div>
<div data-testid="counter">{(values as any).counter}</div>
<div data-testid="items">{(values as any).items?.join(", ")}</div>
<button data-testid="submit" onClick={() => submit({})}>
Send
</button>
<button data-testid="stop" onClick={stop}>
Stop
</button>
</div>
);
}
render(<TestComponent />);
// Initial state
expect(screen.getByTestId("counter")).toHaveTextContent("5");
expect(screen.getByTestId("items")).toHaveTextContent("item1, item2");
// Start and stop stream
await user.click(screen.getByTestId("submit"));
await user.click(screen.getByTestId("stop"));
// Verify functional update was applied correctly
await waitFor(() => {
expect(screen.getByTestId("counter")).toHaveTextContent("15");
expect(screen.getByTestId("items")).toHaveTextContent(
"item1, item2, stopped",
);
});
});
it("onStop is not called when stream completes naturally", async () => {
const user = userEvent.setup();
const onStopCallback = vi.fn();
function TestComponent() {
const { submit } = useStream({
assistantId: "agent",
apiKey: "test-api-key",
onStop: onStopCallback,
});
return (
<div>
<button data-testid="submit" onClick={() => submit({})}>
Send
</button>
</div>
);
}
render(<TestComponent />);
// Start a stream and let it complete naturally
await user.click(screen.getByTestId("submit"));
// Wait for stream to complete naturally
await waitFor(() => {
expect(onStopCallback).not.toHaveBeenCalled();
});
});
});
+23 -16
View File
@@ -13,22 +13,16 @@ type MessageContent = string | MessageContentComplex[];
*/
type MessageAdditionalKwargs = Record<string, unknown>;
type BaseMessage = {
additional_kwargs?: MessageAdditionalKwargs | undefined;
content: MessageContent;
id?: string | undefined;
name?: string | undefined;
response_metadata?: Record<string, unknown> | undefined;
};
export type HumanMessage = BaseMessage & {
export type HumanMessage = {
type: "human";
example?: boolean | undefined;
id?: string | undefined;
content: MessageContent;
};
export type AIMessage = BaseMessage & {
export type AIMessage = {
type: "ai";
example?: boolean | undefined;
id?: string | undefined;
content: MessageContent;
tool_calls?:
| {
name: string;
@@ -63,12 +57,19 @@ export type AIMessage = BaseMessage & {
| undefined;
}
| undefined;
additional_kwargs?: MessageAdditionalKwargs | undefined;
response_metadata?: Record<string, unknown> | undefined;
};
export type ToolMessage = BaseMessage & {
export type ToolMessage = {
type: "tool";
name?: string | undefined;
id?: string | undefined;
content: MessageContent;
status?: "error" | "success" | undefined;
tool_call_id: string;
additional_kwargs?: MessageAdditionalKwargs | undefined;
response_metadata?: Record<string, unknown> | undefined;
/**
* Artifact of the Tool execution which is not meant to be sent to the model.
*
@@ -80,16 +81,22 @@ export type ToolMessage = BaseMessage & {
artifact?: any;
};
export type SystemMessage = BaseMessage & {
export type SystemMessage = {
type: "system";
id?: string | undefined;
content: MessageContent;
};
export type FunctionMessage = BaseMessage & {
export type FunctionMessage = {
type: "function";
id?: string | undefined;
content: MessageContent;
};
export type RemoveMessage = BaseMessage & {
export type RemoveMessage = {
type: "remove";
id: string;
content: MessageContent;
};
export type Message =
+132 -128
View File
@@ -6,88 +6,90 @@ const SPACE = " ".charCodeAt(0);
const TRAILING_NEWLINE = [CR, LF];
export function BytesLineDecoder() {
let buffer: Uint8Array[] = [];
let trailingCr = false;
export class BytesLineDecoder extends TransformStream<Uint8Array, Uint8Array> {
constructor() {
let buffer: Uint8Array[] = [];
let trailingCr = false;
return new TransformStream<Uint8Array, Uint8Array>({
start() {
buffer = [];
trailingCr = false;
},
transform(chunk, controller) {
// See https://docs.python.org/3/glossary.html#term-universal-newlines
let text = chunk;
// Handle trailing CR from previous chunk
if (trailingCr) {
text = joinArrays([[CR], text]);
trailingCr = false;
}
// Check for trailing CR in current chunk
if (text.length > 0 && text.at(-1) === CR) {
trailingCr = true;
text = text.subarray(0, -1);
}
if (!text.length) return;
const trailingNewline = TRAILING_NEWLINE.includes(text.at(-1)!);
const lastIdx = text.length - 1;
const { lines } = text.reduce<{ lines: Uint8Array[]; from: number }>(
(acc, cur, idx) => {
if (acc.from > idx) return acc;
if (cur === CR || cur === LF) {
acc.lines.push(text.subarray(acc.from, idx));
if (cur === CR && text[idx + 1] === LF) {
acc.from = idx + 2;
} else {
acc.from = idx + 1;
}
}
if (idx === lastIdx && acc.from <= lastIdx) {
acc.lines.push(text.subarray(acc.from));
}
return acc;
},
{ lines: [], from: 0 },
);
if (lines.length === 1 && !trailingNewline) {
buffer.push(lines[0]);
return;
}
if (buffer.length) {
// Include existing buffer in first line
buffer.push(lines[0]);
lines[0] = joinArrays(buffer);
super({
start() {
buffer = [];
}
trailingCr = false;
},
if (!trailingNewline) {
// If the last segment is not newline terminated,
// buffer it for the next chunk
if (lines.length) buffer = [lines.pop()!];
}
transform(chunk, controller) {
// See https://docs.python.org/3/glossary.html#term-universal-newlines
let text = chunk;
// Enqueue complete lines
for (const line of lines) {
controller.enqueue(line);
}
},
// Handle trailing CR from previous chunk
if (trailingCr) {
text = joinArrays([[CR], text]);
trailingCr = false;
}
flush(controller) {
if (buffer.length) {
controller.enqueue(joinArrays(buffer));
}
},
});
// Check for trailing CR in current chunk
if (text.length > 0 && text.at(-1) === CR) {
trailingCr = true;
text = text.subarray(0, -1);
}
if (!text.length) return;
const trailingNewline = TRAILING_NEWLINE.includes(text.at(-1)!);
const lastIdx = text.length - 1;
const { lines } = text.reduce<{ lines: Uint8Array[]; from: number }>(
(acc, cur, idx) => {
if (acc.from > idx) return acc;
if (cur === CR || cur === LF) {
acc.lines.push(text.subarray(acc.from, idx));
if (cur === CR && text[idx + 1] === LF) {
acc.from = idx + 2;
} else {
acc.from = idx + 1;
}
}
if (idx === lastIdx && acc.from <= lastIdx) {
acc.lines.push(text.subarray(acc.from));
}
return acc;
},
{ lines: [], from: 0 },
);
if (lines.length === 1 && !trailingNewline) {
buffer.push(lines[0]);
return;
}
if (buffer.length) {
// Include existing buffer in first line
buffer.push(lines[0]);
lines[0] = joinArrays(buffer);
buffer = [];
}
if (!trailingNewline) {
// If the last segment is not newline terminated,
// buffer it for the next chunk
if (lines.length) buffer = [lines.pop()!];
}
// Enqueue complete lines
for (const line of lines) {
controller.enqueue(line);
}
},
flush(controller) {
if (buffer.length) {
controller.enqueue(joinArrays(buffer));
}
},
});
}
}
interface StreamPart {
@@ -96,67 +98,69 @@ interface StreamPart {
data: unknown;
}
export function SSEDecoder() {
let event = "";
let data: Uint8Array[] = [];
let lastEventId = "";
let retry: number | null = null;
export class SSEDecoder extends TransformStream<Uint8Array, StreamPart> {
constructor() {
let event = "";
let data: Uint8Array[] = [];
let lastEventId = "";
let retry: number | null = null;
const decoder = new TextDecoder();
const decoder = new TextDecoder();
return new TransformStream<Uint8Array, StreamPart>({
transform(chunk, controller) {
// Handle empty line case
if (!chunk.length) {
if (!event && !data.length && !lastEventId && retry == null) return;
super({
transform(chunk, controller) {
// Handle empty line case
if (!chunk.length) {
if (!event && !data.length && !lastEventId && retry == null) return;
const sse = {
id: lastEventId || undefined,
event,
data: data.length ? decodeArraysToJson(decoder, data) : null,
};
const sse = {
id: lastEventId || undefined,
event,
data: data.length ? decodeArraysToJson(decoder, data) : null,
};
// NOTE: as per the SSE spec, do not reset lastEventId
event = "";
data = [];
retry = null;
// NOTE: as per the SSE spec, do not reset lastEventId
event = "";
data = [];
retry = null;
controller.enqueue(sse);
return;
}
controller.enqueue(sse);
return;
}
// Ignore comments
if (chunk[0] === COLON) return;
// Ignore comments
if (chunk[0] === COLON) return;
const sepIdx = chunk.indexOf(COLON);
if (sepIdx === -1) return;
const sepIdx = chunk.indexOf(COLON);
if (sepIdx === -1) return;
const fieldName = decoder.decode(chunk.subarray(0, sepIdx));
let value = chunk.subarray(sepIdx + 1);
if (value[0] === SPACE) value = value.subarray(1);
const fieldName = decoder.decode(chunk.subarray(0, sepIdx));
let value = chunk.subarray(sepIdx + 1);
if (value[0] === SPACE) value = value.subarray(1);
if (fieldName === "event") {
event = decoder.decode(value);
} else if (fieldName === "data") {
data.push(value);
} else if (fieldName === "id") {
if (value.indexOf(NULL) === -1) lastEventId = decoder.decode(value);
} else if (fieldName === "retry") {
const retryNum = Number.parseInt(decoder.decode(value));
if (!Number.isNaN(retryNum)) retry = retryNum;
}
},
if (fieldName === "event") {
event = decoder.decode(value);
} else if (fieldName === "data") {
data.push(value);
} else if (fieldName === "id") {
if (value.indexOf(NULL) === -1) lastEventId = decoder.decode(value);
} else if (fieldName === "retry") {
const retryNum = Number.parseInt(decoder.decode(value));
if (!Number.isNaN(retryNum)) retry = retryNum;
}
},
flush(controller) {
if (event) {
controller.enqueue({
id: lastEventId || undefined,
event,
data: data.length ? decodeArraysToJson(decoder, data) : null,
});
}
},
});
flush(controller) {
if (event) {
controller.enqueue({
id: lastEventId || undefined,
event,
data: data.length ? decodeArraysToJson(decoder, data) : null,
});
}
},
});
}
}
function joinArrays(data: ArrayLike<number>[]) {
+22 -1046
View File
File diff suppressed because it is too large Load Diff
+3 -3
View File
@@ -21,13 +21,13 @@ Repository = "https://www.github.com/langchain-ai/langgraph"
[dependency-groups]
dev = [
"ruff>=0.12.0",
"ruff",
"codespell",
"pytest>=8.0.0",
"pytest",
"pytest-asyncio",
"pytest-mock",
"pytest-watch",
"mypy>=1.15.0",
"mypy",
]
[tool.hatch.build.targets.wheel]
+22 -22
View File
@@ -146,12 +146,12 @@ requires-dist = [
[package.metadata.requires-dev]
dev = [
{ name = "codespell" },
{ name = "mypy", specifier = ">=1.15.0" },
{ name = "pytest", specifier = ">=8.0.0" },
{ name = "mypy" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
{ name = "pytest-watch" },
{ name = "ruff", specifier = ">=0.12.0" },
{ name = "ruff" },
]
[[package]]
@@ -360,27 +360,27 @@ sdist = { url = "https://files.pythonhosted.org/packages/36/47/ab65fc1d682befc31
[[package]]
name = "ruff"
version = "0.12.1"
version = "0.11.10"
source = { registry = "https://pypi.org/simple" }
sdist = { url = "https://files.pythonhosted.org/packages/97/38/796a101608a90494440856ccfb52b1edae90de0b817e76bfade66b12d320/ruff-0.12.1.tar.gz", hash = "sha256:806bbc17f1104fd57451a98a58df35388ee3ab422e029e8f5cf30aa4af2c138c", size = 4413426, upload-time = "2025-06-26T20:34:14.784Z" }
sdist = { url = "https://files.pythonhosted.org/packages/e8/4c/4a3c5a97faaae6b428b336dcca81d03ad04779f8072c267ad2bd860126bf/ruff-0.11.10.tar.gz", hash = "sha256:d522fb204b4959909ecac47da02830daec102eeb100fb50ea9554818d47a5fa6", size = 4165632, upload-time = "2025-05-15T14:08:56.76Z" }
wheels = [
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