Apply patch

feat(docs): Document disabling webhooks (#5535 )
2026-10-17 05:35:31 +02:00 · 2025-07-17 20:05:48 +00:00 · 2025-07-17 20:04:12 +00:00 · 2025-07-17 15:23:00 -04:00 · 2025-07-17 12:22:30 -07:00 · 2025-07-17 12:10:11 -07:00
43 changed files with 618 additions and 452 deletions
@@ -1,29 +1,29 @@
 name: "\U0001F41B Bug Report"
-description: Report a bug in LangGraph. To report a security issue, please instead use the security option below. For questions, please use the GitHub Discussions.
+description: Report a bug in LangGraph. To report a security issue, please instead use the security option below. For questions, please use the LangChain Forum at forum.langchain.com.
 labels: [pending,bug]
 body:
  - type: markdown
    attributes:
-      value: >
+      value: |
        Thank you for taking the time to file a bug report. 
        
-        Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use [GitHub Discussions](https://github.com/langchain-ai/langgraph/discussions).
+        Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use the [LangChain Forum](https://forum.langchain.com/).
        
        Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
        if there's another way to solve your problem:
        
-        [LangGraph Github Discussions](https://github.com/langchain-ai/langgraph/discussions),
-        [LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
-        [LangGraph how-to guides](https://langchain-ai.github.io/langgraph/how-tos/).
-        [LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
-        [GitHub search](https://github.com/langchain-ai/langgraph),
+        * [LangChain Forum](https://forum.langchain.com/),
+        * [LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
+        * [LangGraph how-to guides](https://langchain-ai.github.io/langgraph/how-tos/).
+        * [LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
+        * [GitHub search](https://github.com/langchain-ai/langgraph),
  - type: checkboxes
    id: checks
    attributes:
      label: Checked other resources
      description: Before submitting this issue, please confirm that you have completed all the steps below by checking each option. These steps help ensure your issue is well-defined, relevant, and actionable.
      options:
-        - label: This is a bug, not a usage question. For questions, please use GitHub Discussions.
+        - label: This is a bug, not a usage question. For questions, please use the LangChain Forum (https://forum.langchain.com/).
          required: true
        - label: I added a clear and detailed title that summarizes the issue.
          required: true
@@ -38,7 +38,7 @@ body:
    attributes:
      label: Example Code
      description: |
-        Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
+        Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case. Replace this code with your own!
      placeholder: |
        from langgraph.graph import StateGraph

@@ -78,7 +78,7 @@ body:
    attributes:
      label: System Info
      description: |
-        python -m langchain_core.sys_info
+        Run on your machine: `python -m langchain_core.sys_info`
      placeholder: |
        python -m langchain_core.sys_info
    validations:
@@ -1,8 +1,6 @@
+blank_issues_enabled: false
 version: 2.1
 contact_links:
-  - name: Feature Request
-    url: https://github.com/langchain-ai/langgraph/discussions/categories/ideas
-    about: Suggest a feature or an idea
  - name: LangChain Forum
    url:  https://forum.langchain.com/
-    about: General community discussions and support
+    about: General community discussions, support, and feature requests
@@ -1,22 +1,22 @@
 name: 🔒 Privileged
-description: You are a LangChain maintainer, or was asked directly by a maintainer to create an issue here. If not, check the other options.
+description: You are a LangGraph maintainer, or was asked directly by a maintainer to create an issue here. If not, check the other options.
 body:
  - type: markdown
    attributes:
      value: |
-        Thanks for your interest in LangChain! 🚀
-        
-        If you are not a LangChain maintainer or were not asked directly by a maintainer to create an issue, then please start the conversation in a [Question in GitHub Discussions](https://github.com/langchain-ai/langchain/discussions/categories/q-a) instead.
-        
-        You are a LangChain maintainer if you maintain any of the packages inside of the LangChain repository 
-        or are a regular contributor to LangChain with previous merged merged pull requests.
+        Thanks for your interest in LangGraph! 🚀
+
+        If you are not a LangGraph maintainer or were not asked directly by a maintainer to create an issue, then please start the conversation on the [LangChain Forum](https://forum.langchain.com/) instead.
+
+        You are a LangGraph maintainer if you maintain any of the packages inside of the LangGraph repository 
+        or are a regular contributor to LangGraph with previous merged merged pull requests.
  - type: checkboxes
    id: privileged
    attributes:
      label: Privileged issue
      description: Confirm that you are allowed to create an issue here.
      options:
-        - label: I am a LangChain maintainer, or was asked directly by a LangChain maintainer to create an issue here.
+        - label: I am a LangGraph maintainer, or was asked directly by a LangGraph maintainer to create an issue here.
          required: true
  - type: textarea
    id: content
@@ -0,0 +1,31 @@
+Thank you for contributing to LangGraph! Follow these steps to mark your pull request as ready for review. **If any of these steps are not completed, your PR will not be considered for review.**
+
+- [ ] **PR title**: Follows the format: {TYPE}({SCOPE}): {DESCRIPTION}
+  - Examples:
+    - feat(core): add multi-tenant support
+    - fix(cli): resolve flag parsing error
+    - docs(openai): update API usage examples
+  - Allowed `{TYPE}` values:
+    - feat, fix, docs, style, refactor, perf, test, build, ci, chore, revert, release
+  - Allowed `{SCOPE}` values (optional):
+    - langgraph, docs, cli, checkpoint, checkpoint-postgres, checkpoint-sqlite, prebuilt, scheduler-kafka, sdk-py
+  - Once you've written the title, please delete this checklist item; do not include it in the PR.
+
+- [ ] **PR message**: ***Delete this entire checklist*** and replace with
+  - **Description:** a description of the change. Include a [closing keyword](https://docs.github.com/en/issues/tracking-your-work-with-issues/using-issues/linking-a-pull-request-to-an-issue#linking-a-pull-request-to-an-issue-using-a-keyword) if applicable.
+  - **Issue:** the issue # it fixes, if applicable
+  - **Dependencies:** any dependencies required for this change
+  - **Twitter handle:** if your PR gets announced, and you'd like a mention, we'll gladly shout you out!
+
+- [ ] **Add tests and docs**: If you're adding a new integration, you must include:
+  1. A test for the integration, preferably unit tests that do not rely on network access,
+  2. An example notebook showing its use. It lives in `docs/docs/integrations` directory.
+
+- [ ] **Lint and test**: Run `make format`, `make lint` and `make test` from the root of the package(s) you've modified. We will not consider a PR unless these three are passing in CI. See [contribution guidelines](https://github.com/langchain-ai/langgraph/blob/main/CONTRIBUTING.md) for more.
+
+Additional guidelines:
+
+- Make sure optional dependencies are imported within a function.
+- Please do not add dependencies to `pyproject.toml` files (even optional ones) unless they are **required** for unit tests.
+- Most PRs should not touch more than one package.
+- Changes should be backwards compatible.
@@ -0,0 +1,11 @@
+LangChain
+LangGraph
+LangSmith
+thead
+stdio
+nd
+jupyter
+lets
+lite
+uis
+deque
@@ -34,10 +34,16 @@
            id: extract_ignore_words
    
          - name: Codespell
-            uses: codespell-project/actions-codespell@v2
+            uses: codespell-project/actions-codespell@v2.0
            with:
-              skip: '*.ambr,*.lock,*.ipynb,*.yaml,*.zlib,*.md'
+              skip: '*.ambr,*.lock,*.ipynb,*.yaml,*.zlib,*.css.map,*.js.map'
              ignore_words_list: ${{ steps.extract_ignore_words.outputs.ignore_words_list }}
          # We do this to avoid spellchecking cell outputs
          - name: Codespell Notebooks
-            run: make codespell
+            run: make codespell
+          
+          - name: Codespell LangGraph Library
+            run: |
+              # Change to root directory to check the main LangGraph library
+              cd ..
+              codespell --skip="*.ambr,*.lock,*.ipynb,*.yaml,*.zlib,*.css.map,*.js.map,*.pyc,__pycache__/*" --ignore-words-list="${{ steps.extract_ignore_words.outputs.ignore_words_list }}" libs/langgraph/langgraph/
@@ -9,7 +9,7 @@ Here are some things to keep in mind for all types of contributions:
 - Follow the ["fork and pull request"](https://docs.github.com/en/get-started/exploring-projects-on-github/contributing-to-a-project) workflow.
 - Fill out the checked-in pull request template when opening pull requests. Note related issues and tag relevant maintainers.
 - Ensure your PR passes formatting, linting, and testing checks before requesting a review.
-  - If you would like comments or feedback, please open an issue or discussion and tag a maintainer.
+  - If you would like comments or feedback, please tag a maintainer.
 - Backwards compatibility is key. Your changes must not be breaking, except in case of critical bug and security fixes.
 - Look for duplicate PRs or issues that have already been opened before opening a new one.
 - Keep scope as isolated as possible. As a general rule, your changes should not affect more than one package at a time.
@@ -20,7 +20,7 @@ For bug fixes, please open up an issue before proposing a fix to ensure the prop

 ### New features

-For new features, please start a new [discussion](https://github.com/langchain-ai/langgraph/discussions), where the maintainers will help with scoping out the necessary changes.
+For new features, please start a new [discussion](https://forum.langchain.com/), where the maintainers will help with scoping out the necessary changes.

 ## Contribute Documentation

@@ -111,7 +111,6 @@ in a more abstract way than how-to guides or tutorials, and should be geared tow
 gaining a deeper understanding of the framework. Try to avoid excessively large code examples. The goal here is to
 impart perspective to the user rather than to finish a practical project. These guides should cover **why** things work the way they do.

-
 To quote the Diataxis website:

 > The perspective of explanation is higher and wider than that of the other types. It does not take the user’s eye-level view, as in a how-to guide, or a close-up view of the machinery, like reference material. Its scope in each case is a topic - “an area of knowledge”, that somehow has to be bounded in a reasonable, meaningful way.
@@ -187,9 +186,9 @@ Be concise, including in code samples.

 ## Setup

-LangChain documentation consists of two components:
+LangGraph documentation consists of two components:

-1. Main Documentation: Hosted at [https://langchain-ai.github.io](https://langchain-ai.github.io/langgraph/),
+1. Main Documentation: Hosted at [https://langchain-ai.github.io/langgraph/](https://langchain-ai.github.io/langgraph/),
 this comprehensive resource serves as the primary user-facing documentation.
 It covers a wide array of topics, including tutorials, use cases, integrations,
 and more, offering extensive guidance on building with LangGraph.
@@ -250,17 +249,17 @@ make serve-docs

 #### Linting

-The documentation is linted from the **monorepo root**. To lint it, run the following from there:
+To spell check the docs, run the following from the `docs` directory:

 ```bash
-make spellcheck
+codespell --skip="*.ambr,*.lock,*.ipynb,*.yaml,*.zlib,*.css.map,*.js.map" --ignore-words-list="infor,thead,stdio,nd,jupyter,lets,lite,uis,deque" .
 ```

 ### ️In-code Documentation

 The in-code documentation is autogenerated from docstrings.

-For the API reference to be useful, the codebase must be well-documented. This means that all functions, classes, and methods should have a docstring that explains what they do, what the arguments are, and what the return value is. This is a good practice in general, but it is especially important for LangChain because the API reference is the primary resource for developers to understand how to use the codebase.
+For the API reference to be useful, the codebase must be well-documented. This means that all functions, classes, and methods should have a docstring that explains what they do, what the arguments are, and what the return value is. This is a good practice in general, but it is especially important for LangGraph because the API reference is the primary resource for developers to understand how to use the codebase.

 We generally follow the [Google Python Style Guide](https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings) for docstrings.

@@ -291,4 +290,4 @@ def my_function(arg1: int, arg2: str) -> float:
        This is a description of the return value.
    """
    return 3.14
-```
+```
@@ -73,7 +73,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L

 - [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://langchain-ai.github.io/langgraph/tutorials/overview/): Guided examples on getting started with LangGraph.
+- [Examples](https://langchain-ai.github.io/langgraph/examples/): Guided examples on getting started with LangGraph.
 - [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
 - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
 - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted.
@@ -81,4 +81,4 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L

 ## Acknowledgements

-LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
+LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
@@ -55,14 +55,16 @@ The `langchain-mcp-adapters` package enables agents to use tools defined across

 === "In a workflow"

-    ```python
+    ```python title="Workflow using MCP tools with ToolNode"
    from langchain_mcp_adapters.client import MultiServerMCPClient
-    from langgraph.graph import StateGraph, MessagesState, START
-    from langgraph.prebuilt import ToolNode, tools_condition
-
    from langchain.chat_models import init_chat_model
-    model = init_chat_model("openai:gpt-4.1")
+    from langgraph.graph import StateGraph, MessagesState, START, END
+    from langgraph.prebuilt import ToolNode

+    # Initialize the model
+    model = init_chat_model("anthropic:claude-3-5-sonnet-latest")
+
+    # Set up MCP client
    client = MultiServerMCPClient(
        {
            "math": {
@@ -80,22 +82,47 @@ The `langchain-mcp-adapters` package enables agents to use tools defined across
    )
    tools = await client.get_tools()

-    def call_model(state: MessagesState):
-        response = model.bind_tools(tools).invoke(state["messages"])
-        return {"messages": response}
+    # Bind tools to model
+    model_with_tools = model.bind_tools(tools)

+    # Create ToolNode
+    tool_node = ToolNode(tools)
+
+    def should_continue(state: MessagesState):
+        messages = state["messages"]
+        last_message = messages[-1]
+        if last_message.tool_calls:
+            return "tools"
+        return END
+
+    # Define call_model function
+    async def call_model(state: MessagesState):
+        messages = state["messages"]
+        response = await model_with_tools.ainvoke(messages)
+        return {"messages": [response]}
+
+    # Build the graph
    builder = StateGraph(MessagesState)
-    builder.add_node(call_model)
-    builder.add_node(ToolNode(tools))
+    builder.add_node("call_model", call_model)
+    builder.add_node("tools", tool_node)
+
    builder.add_edge(START, "call_model")
    builder.add_conditional_edges(
        "call_model",
-        tools_condition,
+        should_continue,
    )
    builder.add_edge("tools", "call_model")
+
+    # Compile the graph
    graph = builder.compile()
-    math_response = await graph.ainvoke({"messages": "what's (3 + 5) x 12?"})
-    weather_response = await graph.ainvoke({"messages": "what is the weather in nyc?"})
+
+    # Test the graph
+    math_response = await graph.ainvoke(
+        {"messages": [{"role": "user", "content": "what's (3 + 5) x 12?"}]}
+    )
+    weather_response = await graph.ainvoke(
+        {"messages": [{"role": "user", "content": "what is the weather in nyc?"}]}
+    )
    ```


@@ -148,4 +175,4 @@ if __name__ == "__main__":

 - [MCP documentation](https://modelcontextprotocol.io/introduction)
 - [MCP Transport documentation](https://modelcontextprotocol.io/docs/concepts/transports)
- [langchain_mcp_adapters](https://github.com/langchain-ai/langchain-mcp-adapters)
+- [langchain_mcp_adapters](https://github.com/langchain-ai/langchain-mcp-adapters)
@@ -140,6 +140,22 @@ https://my-server.app/my-webhook-endpoint?token=YOUR_SECRET_TOKEN

 Your server should extract and validate this token before processing requests.

+## Disable webhooks
+
+As of `langgraph-api>=0.2.78`, developers can disable webhooks in the `langgraph.json` file:
+
+```json
+{
+  "http": {
+    "disable_webhooks": true
+  }
+}
+```
+
+This feature is primarily intended for self-hosted deployments, where platform administrators or developers may prefer to disable webhooks to simplify their security posture—especially if they are not configuring firewall rules or other network controls. Disabling webhooks helps prevent untrusted payloads from being sent to internal endpoints.
+
+For full configuration details, refer to the [configuration file reference](https://langchain-ai.github.io/langgraph/cloud/reference/cli/?h=disable_webhooks#configuration-file).
+
 ## Test webhooks

 You can test your webhook using online services like:
@@ -409,8 +409,8 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
    | Option                       | Default                   | Description                                                                                                             |
    | ---------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
    | `--wait`                     |                           | Wait for services to start before returning. Implies --detach                                                           |
-| `--base-image TEXT`          | `langchain/langgraph-api`  | Base image to use for the LangGraph API server. Pin to specific versions using version tags.                            |
-| `--image TEXT`               |                           | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly.           |
+    | `--base-image TEXT`          | `langchain/langgraph-api`  | Base image to use for the LangGraph API server. Pin to specific versions using version tags.                            |
+    | `--image TEXT`               |                           | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly.           |
    | `--postgres-uri TEXT`        | Local database            | Postgres URI to use for the database.                                                                                   |
    | `--watch`                    |                           | Restart on file changes                                                                                                 |
    | `--debugger-base-url TEXT`   | `http://127.0.0.1:[PORT]` | URL used by the debugger to access LangGraph API.                                                                       |
@@ -438,8 +438,8 @@ The LangGraph CLI requires a JSON configuration file that follows this [schema](
    | Option                                                                 | Default                   | Description                                                                                                             |
    | ---------------------------------------------------------------------- | ------------------------- | ----------------------------------------------------------------------------------------------------------------------- |
    | <span style="white-space: nowrap;">`--wait`</span>                     |                           | Wait for services to start before returning. Implies --detach                                                           |
-| <span style="white-space: nowrap;">`--base-image TEXT`</span>          | <span style="white-space: nowrap;">`langchain/langgraph-api`</span> | Base image to use for the LangGraph API server. Pin to specific versions using version tags. |
-| <span style="white-space: nowrap;">`--image TEXT`</span>               |                           | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. |
+    | <span style="white-space: nowrap;">`--base-image TEXT`</span>          | <span style="white-space: nowrap;">`langchain/langgraph-api`</span> | Base image to use for the LangGraph API server. Pin to specific versions using version tags. |
+    | <span style="white-space: nowrap;">`--image TEXT`</span>               |                           | Docker image to use for the langgraph-api service. If specified, skips building and uses this image directly. |
    | <span style="white-space: nowrap;">`--postgres-uri TEXT`</span>        | Local database            | Postgres URI to use for the database.                                                                                   |
    | <span style="white-space: nowrap;">`--watch`</span>                    |                           | Restart on file changes                                                                                                 |
    | <span style="white-space: nowrap;">`-c, --config FILE`</span>          | `langgraph.json`          | Path to configuration file declaring dependencies, graphs and environment variables.                                    |
@@ -28,6 +28,9 @@ Specify `DD_API_KEY` (your [Datadog API Key](https://docs.datadoghq.com/account_

 If `DD_API_KEY` is specified, the application process is wrapped in the [`ddtrace-run` command](https://ddtrace.readthedocs.io/en/stable/installation_quickstart.html). Other `DD_*` environment variables (e.g. `DD_SITE`, `DD_ENV`, `DD_SERVICE`, `DD_TRACE_ENABLED`) are typically needed to properly configure the tracing instrumentation. See [`DD_*` environment variables](https://ddtrace.readthedocs.io/en/stable/configuration.html) for more details.

+!!! note 
+    Enabling `DD_API_KEY` (and thus `ddtrace-run`) can override or interfere with other auto-instrumentation solutions (such as OpenTelemetry) that you may have instrumented into your application code.
+
 ## `LANGCHAIN_TRACING_SAMPLING_RATE`

 Sampling rate for traces sent to LangSmith. Valid values: Any float between `0` and `1`.
@@ -4,6 +4,33 @@

 ---

+## v0.2.95 (2025-07-17)
+- Avoided setting the future if it is already done to prevent redundant operations.
+- Resolved compatibility errors in CI by switching from `typing.TypedDict` to `typing_extensions.TypedDict` for Python versions below 3.12.
+
+## v0.2.94 (2025-07-16)
+- Improved performance by omitting pending sends for langgraph versions 0.5 and above.
+- Improved server startup logs to provide clearer warnings when the DD_API_KEY environment variable is set.
+
+## v0.2.93 (2025-07-16)
+- Removed the GIN index for run metadata to improve performance.
+
+## v0.2.92 (2025-07-16)
+- Enabled copying functionality for blobs and checkpoints, improving data management flexibility.
+
+## v0.2.91 (2025-07-16)
+- Reduced writes to the `checkpoint_blobs` table by inlining small values (null, numeric, str, etc.). This means we don't need to store extra values for channels that haven't been updated.
+
+## v0.2.90 (2025-07-16)
+- Improve checkpoint writes via node-local background queueing.
+
+
+## v0.2.89 (2025-07-15)
+- Decoupled checkpoint writing from thread/run state by removing foreign keys and updated logger to prevent timeout-related failures.
+
+## v0.2.88 (2025-07-14)
+- Removed the foreign key constraint for `thread` in the `run` table to simplify database schema.
+
 ## v0.2.87 (2025-07-14)
 - Added more detailed logs for Redis worker signaling to improve debugging.

@@ -45,7 +45,7 @@ The first thing you do when you define a graph is define the `State` of the grap

 ### Schema

-The main documented way to specify the schema of a graph is by using `TypedDict`. However, we also support [using a Pydantic BaseModel](../how-tos/graph-api.md#use-pydantic-models-for-graph-state) as your graph state to add **default values** and additional data validation.
+The main documented way to specify the schema of a graph is by using a [`TypedDict`](https://docs.python.org/3/library/typing.html#typing.TypedDict). If you want to provide default values in your state, use a [`dataclass`](https://docs.python.org/3/library/dataclasses.html). We also support using a Pydantic [BaseModel](../how-tos/graph-api.md#use-pydantic-models-for-graph-state) as your graph state if you want recursive data validation (though note that pydantic is less performant than a `TypedDict` or `dataclass`).

 By default, the graph will have the same input and output schemas. If you want to change this, you can also specify explicit input and output schemas directly. This is useful when you have a lot of keys, and some are explicitly for input and others for output. See the [guide here](../how-tos/graph-api.md#define-input-and-output-schemas) for how to use.

@@ -298,7 +298,7 @@ print(graph.invoke({"x": 5}, stream_mode='updates'))  # (2)!
 [{'expensive_node': {'result': 10}, '__metadata__': {'cached': True}}]
 ```

-1. First run takes the full second to run (due to mocked expensive computation).
+1. First run takes two seconds to run (due to mocked expensive computation).
 2. Second run utilizes cache and returns quickly.

 ## Edges
@@ -0,0 +1,17 @@
+# Tracing
+
+Traces are a series of steps that your application takes to go from input to output. Each of these individual steps is represented by a run. You can use [LangSmith](https://smith.langchain.com/) to visualize these execution steps. To use it, [enable tracing for your application](../how-tos/enable-tracing.md). This enables you to do the following:
+
+- [Debug a locally running application](../cloud/how-tos/clone_traces_studio.md).
+- [Evaluate the application performance](../agents/evals.md).
+- [Monitor the application](https://docs.smith.langchain.com/observability/how_to_guides/dashboards).
+
+To get started, sign up for a free account at [LangSmith](https://smith.langchain.com/).
+
+## Learn more
+
+- [Graph runs in LangSmith](../how-tos/run-id-langsmith.md)
+- [LangSmith Observability quickstart](https://docs.smith.langchain.com/observability)
+- [Trace with LangGraph](https://docs.smith.langchain.com/observability/how_to_guides/trace_with_langgraph)
+- [Tracing conceptual guide](https://docs.smith.langchain.com/observability/concepts#traces)
+
@@ -2,6 +2,11 @@

 The pages in this section provide a conceptual overview and how-tos for the following topics:

+## Agent development
+
+- [Overview](../agents/overview.md): Use prebuilt components to build an agent.
+- [Run an agent](../agents/run_agents.md): Run an agent by providing input, interpreting output, enabling streaming, and controlling execution limits.
+
 ## LangGraph APIs

 - [Graph API](../concepts/low_level.md): Use the Graph API to define workflows using a graph paradigm.
@@ -0,0 +1,16 @@
+# Enable tracing for your application
+
+To enable [tracing](../concepts/tracing.md) for your application, set the following environment variables:
+
+```python
+export LANGSMITH_TRACING=true
+export LANGSMITH_API_KEY=<your-api-key>
+```
+
+For more information, see [Trace with LangGraph](https://docs.smith.langchain.com/observability/how_to_guides/trace_with_langgraph).
+
+## Learn more
+
+- [Graph runs in LangSmith](../how-tos/run-id-langsmith.md)
+- [LangSmith Observability quickstart](https://docs.smith.langchain.com/observability)
+- [Tracing conceptual guide](https://docs.smith.langchain.com/observability/concepts#traces)
@@ -328,14 +328,15 @@ Output of graph invocation: {'a': 'set by node_3'}

 A [StateGraph](https://langchain-ai.github.io/langgraph/reference/graphs.md#langgraph.graph.StateGraph) accepts a `state_schema` argument on initialization that specifies the "shape" of the state that the nodes in the graph can access and update.

-In our examples, we typically use a python-native `TypedDict` for `state_schema`, but `state_schema` can be any [type](https://docs.python.org/3/library/stdtypes.html#type-objects).
+In our examples, we typically use a python-native `TypedDict` or [`dataclass`](https://docs.python.org/3/library/dataclasses.html) for `state_schema`, but `state_schema` can be any [type](https://docs.python.org/3/library/stdtypes.html#type-objects).

-Here, we'll see how a [Pydantic BaseModel](https://docs.pydantic.dev/latest/api/base_model/). can be used for `state_schema` to add run time validation on **inputs**.
+Here, we'll see how a [Pydantic BaseModel](https://docs.pydantic.dev/latest/api/base_model/) can be used for `state_schema` to add run-time validation on **inputs**.

 !!! note "Known Limitations"
    - Currently, the output of the graph will **NOT** be an instance of a pydantic model.
    - Run-time validation only occurs on inputs into nodes, not on the outputs.
    - The validation error trace from pydantic does not show which node the error arises in.
+    - Pydantic's recursive validation can be slow. For performance-sensitive applications, you may want to consider using a `dataclass` instead.

 ```python
 from langgraph.graph import StateGraph, START, END
@@ -103,14 +103,15 @@ nav:
          -  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:
+    - General concepts:
      - Workflows & agents: tutorials/workflows.md
-      - Prebuilt components: agents/overview.md
-      - Run an agent: agents/run_agents.md
      - Agent architectures: concepts/agentic_concepts.md

  - Guides:
    - guides/index.md
+    - Agent development:
+      - Overview: agents/overview.md
+      - Run an agent: agents/run_agents.md
    - LangGraph APIs:
      - Graph API:
          - Overview: concepts/low_level.md
@@ -157,8 +158,10 @@ nav:
          - Overview: concepts/mcp.md
          - Use MCP: agents/mcp.md
          - Server API: concepts/server-mcp.md
-      - Evaluation:
-          - Basic implementation: agents/evals.md
+      - Tracing:
+          - Overview: concepts/tracing.md
+          - Enable tracing: how-tos/enable-tracing.md
+          - Evaluate performance: agents/evals.md
    - Platform-only capabilities:
      - LangGraph Platform:
          - Overview: concepts/langgraph_platform.md
@@ -112,4 +112,6 @@ extend-include = ["*.ipynb"]
 [tool.codespell]
 # https://mypy.readthedocs.io/en/stable/config_file.html
 # comma-separated list
-ignore-words-list = "infor"
+ignore-words-list = "infor,thead,stdio,nd,jupyter,lets,lite,uis,deque"
+# Exclude generated files and directories
+skip = "*.ambr,*.lock,*.ipynb,*.yaml,*.zlib,*.css.map,*.js.map"
@@ -289,6 +289,7 @@ class PostgresSaver(BasePostgresSaver):
        )

        copy = checkpoint.copy()
+        copy["channel_values"] = copy["channel_values"].copy()
        next_config = {
            "configurable": {
                "thread_id": thread_id,
@@ -297,16 +298,28 @@ class PostgresSaver(BasePostgresSaver):
            }
        }

+        # inline primitive values in checkpoint table
+        # others are stored in blobs table
+        blob_values = {}
+        for k, v in checkpoint["channel_values"].items():
+            if v is None or isinstance(v, (str, int, float, bool)):
+                pass
+            else:
+                blob_values[k] = copy["channel_values"].pop(k)
+
        with self._cursor(pipeline=True) as cur:
-            cur.executemany(
-                self.UPSERT_CHECKPOINT_BLOBS_SQL,
-                self._dump_blobs(
-                    thread_id,
-                    checkpoint_ns,
-                    copy.pop("channel_values"),  # type: ignore[misc]
-                    new_versions,
-                ),
-            )
+            if blob_versions := {
+                k: v for k, v in new_versions.items() if k in blob_values
+            }:
+                cur.executemany(
+                    self.UPSERT_CHECKPOINT_BLOBS_SQL,
+                    self._dump_blobs(
+                        thread_id,
+                        checkpoint_ns,
+                        blob_values,
+                        blob_versions,
+                    ),
+                )
            cur.execute(
                self.UPSERT_CHECKPOINTS_SQL,
                (
@@ -439,7 +452,10 @@ class PostgresSaver(BasePostgresSaver):
            },
            {
                **value["checkpoint"],
-                "channel_values": self._load_blobs(value["channel_values"]),
+                "channel_values": {
+                    **value["checkpoint"].get("channel_values"),
+                    **self._load_blobs(value["channel_values"]),
+                },
            },
            value["metadata"],
            (
@@ -245,6 +245,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
        )

        copy = checkpoint.copy()
+        copy["channel_values"] = copy["channel_values"].copy()
        next_config = {
            "configurable": {
                "thread_id": thread_id,
@@ -253,17 +254,29 @@ class AsyncPostgresSaver(BasePostgresSaver):
            }
        }

+        # inline primitive values in checkpoint table
+        # others are stored in blobs table
+        blob_values = {}
+        for k, v in checkpoint["channel_values"].items():
+            if v is None or isinstance(v, (str, int, float, bool)):
+                pass
+            else:
+                blob_values[k] = copy["channel_values"].pop(k)
+
        async with self._cursor(pipeline=True) as cur:
-            await cur.executemany(
-                self.UPSERT_CHECKPOINT_BLOBS_SQL,
-                await asyncio.to_thread(
-                    self._dump_blobs,
-                    thread_id,
-                    checkpoint_ns,
-                    copy.pop("channel_values"),  # type: ignore[misc]
-                    new_versions,
-                ),
-            )
+            if blob_versions := {
+                k: v for k, v in new_versions.items() if k in blob_values
+            }:
+                await cur.executemany(
+                    self.UPSERT_CHECKPOINT_BLOBS_SQL,
+                    await asyncio.to_thread(
+                        self._dump_blobs,
+                        thread_id,
+                        checkpoint_ns,
+                        blob_values,
+                        blob_versions,
+                    ),
+                )
            await cur.execute(
                self.UPSERT_CHECKPOINTS_SQL,
                (
@@ -397,7 +410,10 @@ class AsyncPostgresSaver(BasePostgresSaver):
            },
            {
                **value["checkpoint"],
-                "channel_values": self._load_blobs(value["channel_values"]),
+                "channel_values": {
+                    **value["checkpoint"].get("channel_values"),
+                    **self._load_blobs(value["channel_values"]),
+                },
            },
            value["metadata"],
            (
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.23"
 description = "Library with a Postgres implementation of LangGraph checkpoint saver."
 authors = []
 requires-python = ">=3.9"
@@ -304,7 +304,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "2.1.0"
+version = "2.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -334,7 +334,7 @@ dev = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.23"
 source = { editable = "." }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -29,7 +29,7 @@ _AIO_ERROR_MSG = (
    "from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver\n"
    "Note: AsyncSqliteSaver requires the aiosqlite package to use.\n"
    "Install with:\n`pip install aiosqlite`\n"
-    "See https://langchain-ai.github.io/langgraph/reference/checkpoints/asyncsqlitesaver"
+    "See https://langchain-ai.github.io/langgraph/reference/checkpoints/#langgraph.checkpoint.sqlite.aio.AsyncSqliteSaver"
    "for more information."
 )

@@ -316,7 +316,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "2.1.0"
+version = "2.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -343,10 +343,14 @@ async def _run(

                    # set the results of each operation
                    for fut, result in zip(futs, results):
-                        fut.set_result(result)
+                        # guard against future being done (e.g. cancelled)
+                        if not fut.done():
+                            fut.set_result(result)
                except Exception as e:
                    for fut in futs:
-                        fut.set_exception(e)
+                        # guard against future being done (e.g. cancelled)
+                        if not fut.done():
+                            fut.set_exception(e)
            finally:
                # remove strong ref to store
                del s
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-checkpoint"
-version = "2.1.0"
+version = "2.1.1"
 description = "Library with base interfaces for LangGraph checkpoint savers."
 authors = []
 requires-python = ">=3.9"
@@ -155,6 +155,43 @@ async def test_async_batch_store(mocker: MockerFixture) -> None:
    ]


+async def test_async_batch_store_handles_cancellation() -> None:
+    class MockStore(AsyncBatchedBaseStore):
+        def batch(self, ops: Iterable[Op]) -> list[Result]:
+            raise NotImplementedError
+
+        async def abatch(self, ops: Iterable[Op]) -> list[Result]:
+            assert all(isinstance(op, GetOp) for op in ops)
+            return [
+                Item(
+                    value={},
+                    key=getattr(op, "key", ""),
+                    namespace=getattr(op, "namespace", ()),
+                    created_at=datetime(2024, 9, 24, 17, 29, 10, 128397),
+                    updated_at=datetime(2024, 9, 24, 17, 29, 10, 128397),
+                )
+                for op in ops
+            ]
+
+    store = MockStore()
+
+    # Simulate cancellation
+    task = asyncio.create_task(store.aget(namespace=("a",), key="b"))
+    await asyncio.sleep(0)
+    task.cancel()
+    await asyncio.sleep(0)
+
+    # Cancelling individual queries against the store should not break the store
+    result = await store.aget(namespace=("c",), key="d")
+    assert result == Item(
+        value={},
+        key="d",
+        namespace=("c",),
+        created_at=datetime(2024, 9, 24, 17, 29, 10, 128397),
+        updated_at=datetime(2024, 9, 24, 17, 29, 10, 128397),
+    )
+
+
 def test_list_namespaces_basic() -> None:
    store = InMemoryStore()

@@ -323,7 +323,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "2.1.0"
+version = "2.1.1"
 source = { editable = "." }
 dependencies = [
    { name = "langchain-core" },
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-cli"
-version = "0.3.4"
+version = "0.3.5"
 description = "CLI for interacting with LangGraph API"
 authors = []
 requires-python = ">=3.9"
@@ -19,7 +19,7 @@ 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-runtime-inmem>=0.6.0 ; python_version >= '3.11'",
    "python-dotenv>=0.8.0",
 ]

@@ -30,25 +30,34 @@ wheels = [
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 ]

+[[package]]
+name = "backports-asyncio-runner"
+version = "1.2.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8e/ff/70dca7d7cb1cbc0edb2c6cc0c38b65cba36cccc491eca64cabd5fe7f8670/backports_asyncio_runner-1.2.0.tar.gz", hash = "sha256:a5aa7b2b7d8f8bfcaa2b57313f70792df84e32a2a746f585213373f900b42162", size = 69893, upload-time = "2025-07-02T02:27:15.685Z" }
+wheels = [
+    { url = "https://files.pythonhosted.org/packages/a0/59/76ab57e3fe74484f48a53f8e337171b4a2349e506eabe136d7e01d059086/backports_asyncio_runner-1.2.0-py3-none-any.whl", hash = "sha256:0da0a936a8aeb554eccb426dc55af3ba63bcdc69fa1a600b5bb305413a4477b5", size = 12313, upload-time = "2025-07-02T02:27:14.263Z" },
+]
+
 [[package]]
 name = "blockbuster"
-version = "1.5.24"
+version = "1.5.25"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "forbiddenfruit", marker = "python_full_version >= '3.11' and implementation_name == 'cpython'" },
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+    { url = "https://files.pythonhosted.org/packages/0b/01/dccc277c014f171f61a6047bb22c684e16c7f2db6bb5c8cce1feaf41ec55/blockbuster-1.5.25-py3-none-any.whl", hash = "sha256:cb06229762273e0f5f3accdaed3d2c5a3b61b055e38843de202311ede21bb0f5", size = 13196, upload-time = "2025-07-14T16:00:19.396Z" },
 ]

 [[package]]
 name = "certifi"
-version = "2025.7.9"
+version = "2025.7.14"
 source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/de/8a/c729b6b60c66a38f590c4e774decc4b2ec7b0576be8f1aa984a53ffa812a/certifi-2025.7.9.tar.gz", hash = "sha256:c1d2ec05395148ee10cf672ffc28cd37ea0ab0d99f9cc74c43e588cbd111b079", size = 160386, upload-time = "2025-07-09T02:13:58.874Z" }
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+    { url = "https://files.pythonhosted.org/packages/4f/52/34c6cf5bb9285074dc3531c437b3919e825d976fde097a7a73f79e726d03/certifi-2025.7.14-py3-none-any.whl", hash = "sha256:6b31f564a415d79ee77df69d757bb49a5bb53bd9f756cbbe24394ffd6fc1f4b2", size = 162722, upload-time = "2025-07-14T03:29:26.863Z" },
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 [[package]]
@@ -444,7 +453,7 @@ wheels = [

 [[package]]
 name = "langchain-core"
-version = "0.3.68"
+version = "0.3.69"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "jsonpatch", marker = "python_full_version >= '3.11'" },
@@ -455,14 +464,14 @@ dependencies = [
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    { name = "typing-extensions", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/23/20/f5b18a17bfbe3416177e702ab2fd230b7d168abb17be31fb48f43f0bb772/langchain_core-0.3.68.tar.gz", hash = "sha256:312e1932ac9aa2eaf111b70fdc171776fa571d1a86c1f873dcac88a094b19c6f", size = 563041, upload-time = "2025-07-03T17:02:28.704Z" }
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+    { url = "https://files.pythonhosted.org/packages/51/7b/bb7b088440ff9cc55e9e6eba94162cbdcd3b1693c194e1ad4764acba29b9/langchain_core-0.3.69-py3-none-any.whl", hash = "sha256:383e9cb4919f7ef4b24bf8552ef42e4323c064924fea88b28dd5d7ddb740d3b8", size = 441556, upload-time = "2025-07-15T21:19:55.342Z" },
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 [[package]]
 name = "langgraph"
-version = "0.5.2"
+version = "0.5.3"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "langchain-core", marker = "python_full_version >= '3.11'" },
@@ -472,14 +481,14 @@ dependencies = [
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 ]
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+    { url = "https://files.pythonhosted.org/packages/d7/2f/11be9302d3a213debcfe44355453a1e8fd7ee5e3138edeb8bd82b56bc8f6/langgraph-0.5.3-py3-none-any.whl", hash = "sha256:9819b88a6ef6134a0fa6d6121a81b202dc3d17b25cf7ea3fe4d7669b9b252b5d", size = 143774, upload-time = "2025-07-14T20:10:01.497Z" },
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 [[package]]
 name = "langgraph-api"
-version = "0.2.86"
+version = "0.2.96"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "cloudpickle", marker = "python_full_version >= '3.11'" },
@@ -502,27 +511,27 @@ dependencies = [
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 [[package]]
@@ -73,7 +73,7 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L

 - [Guides](https://langchain-ai.github.io/langgraph/how-tos/): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
 - [Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://langchain-ai.github.io/langgraph/tutorials/overview/): Guided examples on getting started with LangGraph.
+- [Examples](https://langchain-ai.github.io/langgraph/examples/): Guided examples on getting started with LangGraph.
 - [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
 - [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
 - [Templates](https://langchain-ai.github.io/langgraph/concepts/template_applications/): Pre-built reference apps for common agentic workflows (e.g. ReAct agent, memory, retrieval etc.) that can be cloned and adapted.
@@ -81,4 +81,4 @@ While LangGraph can be used standalone, it also integrates seamlessly with any L

 ## Acknowledgements

-LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
+LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
@@ -180,6 +180,7 @@ def task(
        warnings.warn(
            "`retry` is deprecated and will be removed. Please use `retry_policy` instead.",
            category=LangGraphDeprecatedSinceV05,
+            stacklevel=2,
        )
        if retry_policy is None:
            retry_policy = retry  # type: ignore[assignment]
@@ -384,6 +385,7 @@ class entrypoint:
            warnings.warn(
                "`retry` is deprecated and will be removed. Please use `retry_policy` instead.",
                category=LangGraphDeprecatedSinceV05,
+                stacklevel=2,
            )
            if retry_policy is None:
                retry_policy = retry  # type: ignore[assignment]
@@ -974,13 +974,51 @@ class CompiledStateGraph(
                )
                raise InvalidUpdateError(msg)

+        # Create a validated version of _control_branch that has access to available nodes
+        def _control_branch_with_validation(value: Any) -> Sequence[tuple[str, Any]]:
+            if isinstance(value, Send):
+                return ((TASKS, value),)
+            commands: list[Command] = []
+            if isinstance(value, Command):
+                commands.append(value)
+            elif isinstance(value, (list, tuple)):
+                for cmd in value:
+                    if isinstance(cmd, Command):
+                        commands.append(cmd)
+            rtn: list[tuple[str, Any]] = []
+            for command in commands:
+                if command.graph == Command.PARENT:
+                    raise ParentCommand(command)
+                if isinstance(command.goto, Send):
+                    rtn.append((TASKS, command.goto))
+                elif isinstance(command.goto, str):
+                    # Validate that the goto target exists in the graph
+                    if command.goto != END and command.goto not in self.builder.nodes:
+                        raise InvalidUpdateError(
+                            f"Node '{command.goto}' does not exist in the graph"
+                        )
+                    rtn.append((CHANNEL_BRANCH_TO.format(command.goto), None))
+                else:
+                    # Handle sequence of goto targets
+                    for go in command.goto:
+                        if isinstance(go, Send):
+                            rtn.append((TASKS, go))
+                        else:
+                            # Validate that the goto target exists in the graph
+                            if go != END and go not in self.builder.nodes:
+                                raise InvalidUpdateError(
+                                    f"Node '{go}' does not exist in the graph"
+                                )
+                            rtn.append((CHANNEL_BRANCH_TO.format(go), None))
+            return rtn
+
        # state updaters
        write_entries: tuple[ChannelWriteEntry | ChannelWriteTupleEntry, ...] = (
            ChannelWriteTupleEntry(
                mapper=_get_root if output_keys == ["__root__"] else _get_updates
            ),
            ChannelWriteTupleEntry(
-                mapper=_control_branch,
+                mapper=_control_branch_with_validation,
                static=_control_static(node.ends)
                if node is not None and node.ends is not None
                else None,
@@ -106,3 +106,7 @@ packages = ["langgraph"]

 [tool.pytest.ini_options]
 addopts = "--full-trace --strict-markers --strict-config --durations=5 --snapshot-warn-unused"
+
+[tool.codespell]
+# Ignore words specific to the LangGraph library code
+ignore-words-list = "infor,thead,stdio,nd,jupyter,lets,lite,uis,deque,langgraph,langchain,pydantic,typing,async,await,coroutine,iterable,iterables,serializable,deserializable,checkpointer,checkpointing,stateful,statefulness,prebuilt,prebuilt,supervisor,supervisory,swarm,swarming,multiactor,multiactors,subgraph,subgraphs,workflow,workflows,streaming,streamable,streamed,streamer,streamers,streaming,streamable,streamed,streamer,streamers"
@@ -1301,7 +1301,7 @@ wheels = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "2.1.0"
+version = "2.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -1331,7 +1331,7 @@ dev = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.23"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
    { name = "langgraph-checkpoint" },
@@ -1,4 +1,4 @@
-.PHONY: all format lint test test_watch integration_tests spell_check spell_fix benchmark profile
+.PHONY: all format lint test test-fast test_watch integration_tests spell_check spell_fix benchmark profile

 # Default target executed when no arguments are given to make.
 all: help
@@ -15,14 +15,17 @@ stop-postgres:

 TEST ?= .

+test-fast:
+	LANGGRAPH_TEST_FAST=1 uv run pytest $(TEST)
+
 test:
-	make start-postgres && uv run pytest $(TEST); \
+	make start-postgres && LANGGRAPH_TEST_FAST=0 uv run pytest $(TEST); \
 	EXIT_CODE=$$?; \
 	make stop-postgres; \
 	exit $$EXIT_CODE

 test_watch:
-	make start-postgres && uv run ptw $(TEST); \
+	make start-postgres && LANGGRAPH_TEST_FAST=0 uv run ptw $(TEST); \
 	EXIT_CODE=$$?; \
 	make stop-postgres; \
 	exit $$EXIT_CODE
@@ -49,7 +52,7 @@ lint lint_diff lint_package lint_tests:

 format format_diff:
 	uv run ruff format $(PYTHON_FILES)
-	uv run ruff check --select I --fix $(PYTHON_FILES)
+	uv run ruff check --fix $(PYTHON_FILES)

 spell_check:
 	uv run codespell --toml pyproject.toml
@@ -74,5 +77,6 @@ help:
 	@echo '-- TESTS --'
 	@echo 'coverage                     - run unit tests and generate coverage report'
 	@echo 'test                         - run unit tests'
+	@echo 'test-fast                    - run unit tests with in-memory checkpointer only'
 	@echo 'test TEST_FILE=<test_file>   - run all tests in file'
 	@echo 'test_watch                   - run unit tests in watch mode'
@@ -1,27 +1,5 @@
 import re
-from typing import Any, Sequence, Union
-
-from typing_extensions import Self
-
-
-class FloatBetween(float):
-    def __new__(cls, min_value: float, max_value: float) -> Self:
-        return super().__new__(cls, min_value)
-
-    def __init__(self, min_value: float, max_value: float) -> None:
-        super().__init__()
-        self.min_value = min_value
-        self.max_value = max_value
-
-    def __eq__(self, other: object) -> bool:
-        return (
-            isinstance(other, float)
-            and other >= self.min_value
-            and other <= self.max_value
-        )
-
-    def __hash__(self) -> int:
-        return hash((float(self), self.min_value, self.max_value))
+from typing import Union


 class AnyStr(str):
@@ -38,49 +16,3 @@ class AnyStr(str):

    def __hash__(self) -> int:
        return hash((str(self), self.prefix))
-
-
-class AnyDict(dict):
-    def __init__(self, *args, **kwargs) -> None:
-        super().__init__(*args, **kwargs)
-
-    def __eq__(self, other: object) -> bool:
-        if not isinstance(other, dict) or len(self) != len(other):
-            return False
-        for k, v in self.items():
-            if kk := next((kk for kk in other if kk == k), None):
-                if v == other[kk]:
-                    continue
-                else:
-                    return False
-        else:
-            return True
-
-
-class AnyVersion:
-    def __init__(self) -> None:
-        super().__init__()
-
-    def __eq__(self, other: object) -> bool:
-        return isinstance(other, (str, int, float))
-
-    def __hash__(self) -> int:
-        return hash(str(self))
-
-
-class UnsortedSequence:
-    def __init__(self, *values: Any) -> None:
-        self.seq = values
-
-    def __eq__(self, value: object) -> bool:
-        return (
-            isinstance(value, Sequence)
-            and len(self.seq) == len(value)
-            and all(a in value for a in self.seq)
-        )
-
-    def __hash__(self) -> int:
-        return hash(frozenset(self.seq))
-
-    def __repr__(self) -> str:
-        return repr(self.seq)
@@ -1,3 +1,4 @@
+import os
 from collections.abc import AsyncIterator, Iterator
 from uuid import UUID

@@ -29,6 +30,55 @@ from tests.conftest_store import (

 pytest.register_assert_rewrite("tests.memory_assert")

+# Global variables for checkpointer and store configurations
+FAST_MODE = os.getenv("LANGGRAPH_TEST_FAST", "true").lower() in ("true", "1", "yes")
+
+SYNC_CHECKPOINTER_PARAMS = (
+    ["memory"]
+    if FAST_MODE
+    else [
+        "memory",
+        "sqlite",
+        "postgres",
+        "postgres_pipe",
+        "postgres_pool",
+    ]
+)
+
+ASYNC_CHECKPOINTER_PARAMS = (
+    ["memory"]
+    if FAST_MODE
+    else [
+        "memory",
+        "sqlite_aio",
+        "postgres_aio",
+        "postgres_aio_pipe",
+        "postgres_aio_pool",
+    ]
+)
+
+SYNC_STORE_PARAMS = (
+    ["in_memory"]
+    if FAST_MODE
+    else [
+        "in_memory",
+        "postgres",
+        "postgres_pipe",
+        "postgres_pool",
+    ]
+)
+
+ASYNC_STORE_PARAMS = (
+    ["in_memory"]
+    if FAST_MODE
+    else [
+        "in_memory",
+        "postgres_aio",
+        "postgres_aio_pipe",
+        "postgres_aio_pool",
+    ]
+)
+

@pytest.fixture
 def anyio_backend():
@@ -48,7 +98,7 @@ def deterministic_uuids(mocker: MockerFixture) -> MockerFixture:

@pytest.fixture(
    scope="function",
-    params=["in_memory", "postgres", "postgres_pipe", "postgres_pool"],
+    params=SYNC_STORE_PARAMS,
 )
 def sync_store(request: pytest.FixtureRequest) -> Iterator[BaseStore]:
    store_name = request.param
@@ -72,7 +122,7 @@ def sync_store(request: pytest.FixtureRequest) -> Iterator[BaseStore]:

@pytest.fixture(
    scope="function",
-    params=["in_memory", "postgres_aio", "postgres_aio_pipe", "postgres_aio_pool"],
+    params=ASYNC_STORE_PARAMS,
 )
 async def async_store(request: pytest.FixtureRequest) -> AsyncIterator[BaseStore]:
    store_name = request.param
@@ -96,13 +146,7 @@ async def async_store(request: pytest.FixtureRequest) -> AsyncIterator[BaseStore

@pytest.fixture(
    scope="function",
-    params=[
-        "memory",
-        "sqlite",
-        "postgres",
-        "postgres_pipe",
-        "postgres_pool",
-    ],
+    params=SYNC_CHECKPOINTER_PARAMS,
 )
 def sync_checkpointer(
    request: pytest.FixtureRequest,
@@ -129,13 +173,7 @@ def sync_checkpointer(

@pytest.fixture(
    scope="function",
-    params=[
-        "memory",
-        "sqlite_aio",
-        "postgres_aio",
-        "postgres_aio_pipe",
-        "postgres_aio_pool",
-    ],
+    params=ASYNC_CHECKPOINTER_PARAMS,
 )
 async def async_checkpointer(
    request: pytest.FixtureRequest,
@@ -1,31 +1,19 @@
-import asyncio
 import os
 import tempfile
 from collections import defaultdict
 from functools import partial
-from typing import Any, Optional
-
-from langchain_core.runnables import RunnableConfig
+from typing import Optional

 from langgraph.checkpoint.base import (
    ChannelVersions,
    Checkpoint,
    CheckpointMetadata,
-    CheckpointTuple,
    SerializerProtocol,
 )
 from langgraph.checkpoint.memory import InMemorySaver, PersistentDict
 from langgraph.pregel.checkpoint import copy_checkpoint


-class NoopSerializer(SerializerProtocol):
-    def loads_typed(self, data: tuple[str, bytes]) -> Any:
-        return data[1]
-
-    def dumps_typed(self, obj: Any) -> tuple[str, bytes]:
-        return "type", obj
-
-
 class MemorySaverAssertImmutable(InMemorySaver):
    storage_for_copies: defaultdict[str, dict[str, dict[str, Checkpoint]]]

@@ -69,66 +57,3 @@ class MemorySaverAssertImmutable(InMemorySaver):
        )
        # call super to write checkpoint
        return super().put(config, checkpoint, metadata, new_versions)
-
-
-class MemorySaverAssertCheckpointMetadata(InMemorySaver):
-    """This custom checkpointer is for verifying that a run's configurable
-    fields are merged with the previous checkpoint config for each step in
-    the run. This is the desired behavior. Because the checkpointer's (a)put()
-    method is called for each step, the implementation of this checkpointer
-    should produce a side effect that can be asserted.
-    """
-
-    def put(
-        self,
-        config: RunnableConfig,
-        checkpoint: Checkpoint,
-        metadata: CheckpointMetadata,
-        new_versions: ChannelVersions,
-    ) -> None:
-        """The implementation of put() merges config["configurable"] (a run's
-        configurable fields) with the metadata field. The state of the
-        checkpoint metadata can be asserted to confirm that the run's
-        configurable fields were merged with the previous checkpoint config.
-        """
-        configurable = config["configurable"].copy()
-
-        # remove checkpoint_id to make testing simpler
-        checkpoint_id = configurable.pop("checkpoint_id", None)
-        thread_id = config["configurable"]["thread_id"]
-        checkpoint_ns = config["configurable"]["checkpoint_ns"]
-        self.storage[thread_id][checkpoint_ns].update(
-            {
-                checkpoint["id"]: (
-                    self.serde.dumps_typed(checkpoint),
-                    # merge configurable fields and metadata
-                    self.serde.dumps_typed({**configurable, **metadata}),
-                    checkpoint_id,
-                )
-            }
-        )
-        return {
-            "configurable": {
-                "thread_id": config["configurable"]["thread_id"],
-                "checkpoint_id": checkpoint["id"],
-            }
-        }
-
-    async def aput(
-        self,
-        config: RunnableConfig,
-        checkpoint: Checkpoint,
-        metadata: CheckpointMetadata,
-        new_versions: ChannelVersions,
-    ) -> RunnableConfig:
-        return await asyncio.get_running_loop().run_in_executor(
-            None, self.put, config, checkpoint, metadata, new_versions
-        )
-
-
-class MemorySaverNoPending(InMemorySaver):
-    def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
-        result = super().get_tuple(config)
-        if result:
-            return CheckpointTuple(result.config, result.checkpoint, result.metadata)
-        return result
@@ -9,33 +9,11 @@ subclassed strings.

 from typing import Any

-from langchain_core.documents import Document
-from langchain_core.messages import AIMessage, AIMessageChunk, HumanMessage, ToolMessage
+from langchain_core.messages import HumanMessage, ToolMessage

 from tests.any_str import AnyStr


-def _AnyIdDocument(**kwargs: Any) -> Document:
-    """Create a document with an id field."""
-    message = Document(**kwargs)
-    message.id = AnyStr()
-    return message
-
-
-def _AnyIdAIMessage(**kwargs: Any) -> AIMessage:
-    """Create ai message with an any id field."""
-    message = AIMessage(**kwargs)
-    message.id = AnyStr()
-    return message
-
-
-def _AnyIdAIMessageChunk(**kwargs: Any) -> AIMessageChunk:
-    """Create ai message with an any id field."""
-    message = AIMessageChunk(**kwargs)
-    message.id = AnyStr()
-    return message
-
-
 def _AnyIdHumanMessage(**kwargs: Any) -> HumanMessage:
    """Create a human message with an any id field."""
    message = HumanMessage(**kwargs)
@@ -367,7 +367,7 @@ dev = [

 [[package]]
 name = "langgraph-checkpoint"
-version = "2.1.0"
+version = "2.1.1"
 source = { editable = "../checkpoint" }
 dependencies = [
    { name = "langchain-core" },
@@ -397,7 +397,7 @@ dev = [

 [[package]]
 name = "langgraph-checkpoint-postgres"
-version = "2.0.22"
+version = "2.0.23"
 source = { editable = "../checkpoint-postgres" }
 dependencies = [
    { name = "langgraph-checkpoint" },
Author	SHA1	Message	Date
open-swe-dev[bot]	290cd4b773	Apply patch	2025-07-17 20:05:48 +00:00
open-swe-dev[bot]	53035d41ea	Apply patch	2025-07-17 20:04:12 +00:00
Eugene YurtsevandGitHub	5717eefa79	feat(docs): Document disabling webhooks (#5535 ) Add information about disabling webhooks	2025-07-17 15:23:00 -04:00
William FH GitHub Sydney Runkle	5978012619	release(cli): Release new CLI version with increased bounds for server (#5565 ) Co-authored-by: Sydney Runkle <54324534+sydney-runkle@users.noreply.github.com>	2025-07-17 12:22:30 -07:00
Eugene YurtsevandGitHub	b447a1c7cf	fix(docs): fix langgraph cli reference (#5563 ) Fix for wrong indentation that completely messes up formatting	2025-07-17 12:10:11 -07:00
open-swe[bot]GitHubopen-swe-dev[bot] <open-swe-dev@users.noreply.github.com>Eugene Yurtsev	f87608a16f	chore(prebuilt): Remove dead code from prebuilt tests (#5555 ) Fixes #5554 This PR removes unused utility classes and functions from the prebuilt tests directory to clean up dead code. Changes include: - Removed unused classes from `libs/prebuilt/tests/any_str.py`: - Deleted FloatBetween, AnyDict, AnyVersion, and UnsortedSequence - Kept only AnyStr class - Removed unused functions from `libs/prebuilt/tests/messages.py`: - Deleted _AnyIdDocument and _AnyIdAIMessageChunk - Kept _AnyIdHumanMessage and _AnyIdToolMessage - Removed unused classes from `libs/prebuilt/tests/memory_assert.py`: - Deleted NoopSerializer, MemorySaverAssertCheckpointMetadata, and MemorySaverNoPending - Kept MemorySaverAssertImmutable Verification: - Manually checked for no remaining references to removed code - Maintained existing import structures - Preserved functionality of the prebuilt test suite The changes reduce code complexity and remove unnecessary utility classes that were not being used in the test suite. --------- Co-authored-by: open-swe-dev[bot] <open-swe-dev@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	2025-07-17 18:45:10 +00:00
Lauren Hirata SinghandGitHub	b4eb57da67	docs: Rearrange nav (#5560 ) Move Prebuilts overview and Run an agent to the guides page	2025-07-17 13:47:43 -04:00
Sam CrowderandGitHub	cec3bef7ea	docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5558 ) Automated changelog update created by the LangGraph Server Changelog Bot. Feel free to merge anytime.	2025-07-17 12:41:13 -04:00
Nuno Campos	71dc92b349	langgraph-checkpoint 2.1.1	2025-07-17 15:04:57 +02:00
jito GitHub Nuno Campos	79b4642e55	fix(docs): broken URL in _AIO_ERROR_MSG for AsyncSqliteSaver (#5483 ) remove unreachable `yield` from unimplemented async methods --------- Co-authored-by: Nuno Campos <nuno@langchain.dev>	2025-07-17 12:26:22 +00:00
Nuno CamposandGitHub	48446bcbd2	chore(docs): Mention dataclass (#5470 )	2025-07-17 14:23:41 +02:00
Nuno CamposandGitHub	cf95c870fe	fix(checkpoint): fix AsyncBatchedBaseStore getting stuck (#5504 )	2025-07-17 12:50:18 +02:00
Nuno CamposandGitHub	a34c38a53d	docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5547 )	2025-07-17 12:24:24 +02:00
Sam Crowder	db5276ded1	Update changelog via LangGraph Server Changelog Bot	2025-07-16 16:32:19 -07:00
Sam CrowderandGitHub	9c67b9ce4b	docs(docs): add disclaimer about overriding otel with DD_API_KEY (#5538 )	2025-07-16 16:06:54 -07:00
Lauren Hirata SinghandGitHub	08667fe786	docs: More tracing (#5545 ) docs: add more about tracing	2025-07-16 19:06:43 -04:00
Sam CrowderandGitHub	48dabc0538	docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5540 ) Update changelog via LangGraph Server Changelog Bot	2025-07-16 18:24:46 -04:00
Sam Crowder GitHub Lauren Hirata Singh	d2cc02d789	Update docs/docs/cloud/reference/env_var.md Co-authored-by: Lauren Hirata Singh <lauren@langchain.dev>	2025-07-16 14:17:56 -07:00
Lauren Hirata SinghandGitHub	92c66d13ec	docs: add o11y overview (#5542 ) * docs: add o11y overview * add section for enabling tracing	2025-07-16 16:32:11 -04:00
Sam Crowder	7f821deded	remove word tracing	2025-07-16 11:36:16 -07:00
Sam Crowder	12a601c8a3	fix: add disclaimer to the docs about DD_API_KEY overriding app-level tracing	2025-07-16 11:35:48 -07:00
Eugene YurtsevandGitHub	d64447c4c2	chore(prebuilt): Allow testing fast (#5533 ) Allow testing fast	2025-07-16 15:56:28 +00:00
Sam Crowder GitHub William FH	0d2db35d93	docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5530 ) * Update changelog via LangGraph Server Changelog Bot * Update docs/docs/cloud/reference/langgraph_server_changelog.md * Update docs/docs/cloud/reference/langgraph_server_changelog.md --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	2025-07-16 14:01:46 +00:00
renchaoandGitHub	b290e1ffdc	docs(mcp): update workflow usage examples (#5525 ) Update mcp.md "END" is missing	2025-07-16 13:21:26 +00:00
Nuno Campos	a5eb6a75bf	checkpoint-postgres 2.0.23	2025-07-16 11:58:07 +02:00
Nuno CamposandGitHub	7a136aaff6	perf(checkpoint-postgres): Reduce writes to checkpoint_blobs table (#5524 )	2025-07-16 11:57:11 +02:00
Nuno Campos	e973e936c3	perf: checkpoint-postgres: Reduce writes to checkpoint_blobs table - Channels containing primitive values don't need to be stored in separate rows in blobs table, as the overhead of a separate row will usually be higher than the size of the value - This applies for instance to all internal channels used to manage edges, so it has a big impact just from that. It can also apply to user-managed channels depending on their values - The same channel may switch storage between versions without any issue	2025-07-16 11:43:51 +02:00
Sam Crowder GitHub William FH	066f3b21f8	docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5523 ) * Update changelog via LangGraph Server Changelog Bot * Update docs/docs/cloud/reference/langgraph_server_changelog.md --------- Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com>	2025-07-16 06:39:09 +00:00
+3 Lauren Hirata Singh GitHub sydney-runkle ygicp ahmed murtazagithub-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>Michael Li Sakshi Gupta Eugene Yurtsev Sam Crowder William FH Yagnesh M. Bhadiyadra Ahmed Murtaza	d5b8733a40	ci(docs): Add codespell for docs md and py files (#5494 ) * docs: Add codespell for markdown files * update * remove path * fix * update linting guidelines * chore[deps]: upgrade dependencies with `uv lock --upgrade` (#5471) Co-authored-by: sydney-runkle <54324534+sydney-runkle@users.noreply.github.com> * fix(checkpoint): correct logging call to use logger (#5458) fix[checkpoint]: correct logging call to use logger * release(langgraph): v0.5.3 (#5498) bump * extend to cover python files used for reference docs * fix(docs): Update the graph image link (#5500) Update the graph image link Point to the correct image reference for Map-Reduce and the Send API example * fix(docs): Update graph-api.md File to reflect correct image (#5499) Update graph-api.md File to reflect correct image Referencing to the correct image file * docs(prebuilt): improve documentation in ToolNode module (#5497) Update documentation in ToolNode module * Update changelog via LangGraph Server Changelog Bot * feat(sdk-py): Show is_studio_user (#5505) * Update changelog via LangGraph Server Changelog Bot * fix(docs): Node caching explanation code required a small fix,. (#5473) fix(docs): Node caching explanation code required a small fix, to avoid confusion to readers. The code had `time.sleep(2)` but the note mentioned one second only. Co-authored-by: ygicp <yagnesh@infocusp.com> * fix(langgraph): add `stacklevel=2` to the warnings to point to the caller’s codes (#5457) chore: add stacklevel=2 to the warnings to point to the caller’s codes * chore(docs): Improve example in use mcp (#5480) * Make example more explicit * Update docs/docs/agents/mcp.md * fix(docs): update examples link (#5515) Co-authored-by: ahmed murtaza <ahmed.gmurtaza@gmail.com> * docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5514) Update changelog via LangGraph Server Changelog Bot * fix readmes * fix --------- Co-authored-by: github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com> Co-authored-by: sydney-runkle <54324534+sydney-runkle@users.noreply.github.com> Co-authored-by: Michael Li <michaelli65535@gmail.com> Co-authored-by: Sakshi Gupta <64280320+sakshi1989@users.noreply.github.com> Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Sam Crowder <samecrowder@gmail.com> Co-authored-by: William FH <13333726+hinthornw@users.noreply.github.com> Co-authored-by: Yagnesh M. Bhadiyadra <35532869+yagneshmb@users.noreply.github.com> Co-authored-by: ygicp <yagnesh@infocusp.com> Co-authored-by: Ahmed Murtaza <ahmed.gmurtaza@hotmail.com> Co-authored-by: ahmed murtaza <ahmed.gmurtaza@gmail.com>	2025-07-15 19:22:48 +00:00
Lauren Hirata SinghandGitHub	40c0e44b9a	docs: Update with links to Forum (#5440 ) Also updates some outdated references to LangChain	2025-07-15 14:55:15 -04:00
Mason DaughertyandGitHub	b5afec4b2a	chore: add PR template (#5491 )	2025-07-15 14:48:59 -04:00
Sam CrowderandGitHub	d674e1bddd	docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5514 ) Update changelog via LangGraph Server Changelog Bot	2025-07-15 11:13:18 -04:00
Ahmed Murtaza GitHub ahmed murtaza	8c68f739b9	fix(docs): update examples link (#5515 ) Co-authored-by: ahmed murtaza <ahmed.gmurtaza@gmail.com>	2025-07-15 15:03:56 +00:00
Eugene YurtsevandGitHub	1500ebd3d7	chore(docs): Improve example in use mcp (#5480 ) * Make example more explicit * Update docs/docs/agents/mcp.md	2025-07-15 15:01:16 +00:00
Michael LiandGitHub	18633bc99e	fix(langgraph): add `stacklevel=2` to the warnings to point to the caller’s codes (#5457 ) chore: add stacklevel=2 to the warnings to point to the caller’s codes	2025-07-15 01:01:29 +00:00
Yagnesh M. Bhadiyadra GitHub ygicp	2558f81889	fix(docs): Node caching explanation code required a small fix,. (#5473 ) fix(docs): Node caching explanation code required a small fix, to avoid confusion to readers. The code had `time.sleep(2)` but the note mentioned one second only. Co-authored-by: ygicp <yagnesh@infocusp.com>	2025-07-15 00:58:32 +00:00
Sam CrowderandGitHub	b832fefc58	docs: [LangGraph Server Changelog Bot] Changelog updates for new version(s) (#5506 )	2025-07-14 17:11:02 -07:00
Sam Crowder	444d699fe8	Update changelog via LangGraph Server Changelog Bot	2025-07-14 17:04:46 -07:00
Darren Clark	0d8dfa7bba	fix(checkpoint): fix AsyncBatchedBaseStore getting stuck This commit fixes #5503 Gist of it is: - `asyncio.exception.InvalidStateError` were being raised when the future was cancelled - this exception bubbled up and killed the background task - `AsyncBatchedBaseStore` stopped doing queries because the background task wasn't running anymore This commit adds some "if future is not done" checks to guard against this.	2025-07-14 18:03:51 -04:00
William Fu-Hinthorn	a71eb09488	chore[docs]: Mention dataclass	2025-07-12 14:11:25 -07:00