init

Each of the settings present are already defaults in the ruff config:

https://docs.astral.sh/ruff/settings/

.github/workflows/_integration_test.yml

@@ -94,3 +94,17 @@ jobs:
           cp ../.env.example .env
           if [ -n "${{ secrets.LANGSMITH_API_KEY }}" ]; then echo "LANGSMITH_API_KEY=${{ secrets.LANGSMITH_API_KEY }}" >> .env; fi
           timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
+          LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
+          if [ "$LANGGRAPH_VERSION" != "1.0.0a2" ]; then
+            exit 1
+          fi
+          LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
+          if [ "$LANGCHAIN_OPENAI_VERSION" != "0.3.0" ]; then
+            exit 1
+          fi
+
+      - name: Build and test prerelease reqs fail service
+        if: steps.changed-files.outputs.all
+        working-directory: libs/cli/examples/graph_prerelease_reqs_fail
+        run: |
+          langgraph build -t langgraph-test-i || [ $? -eq 1 ]

docs/README.md

@@ -1,24 +1,126 @@
-# Setup
+# LangGraph Documentation
 
-To setup requirements for building docs you can run:
+For more information on contributing to our documentation, see the [Contributing Guide](../CONTRIBUTING.md).
 
-```bash
-uv sync --group test
+## Structure
+
+The primary documentation is located in the `docs/` directory. This directory contains both the source files for the main documentation as well as the API reference doc build process.
+
+### Main Documentation
+
+Main documentation files are located in `docs/docs/` and are written in Markdown format. The site uses [**MkDocs**](https://www.mkdocs.org/) with the [Material theme](https://squidfunk.github.io/mkdocs-material/) and includes:
+
+- **Concepts**: Core LangGraph concepts and explanations
+- **Tutorials**: Step-by-step learning guides
+- **How-tos**: Task-focused guides for specific use cases
+- **Examples**: Real-world applications and use cases
+- **Jupyter Notebooks**: Interactive tutorials that are automatically converted to markdown
+
+### API Reference
+
+API reference documentation is defined in `docs/docs/reference/`. Each `.md` file outlines the "template" that each page is built from. Reference content is automatically generated from docstrings in the codebase using the **mkdocstrings** plugin. Once generated, the content is plugged into the corresponding markdown file where it is referenced by using manual directives to specify which classes and/or functions are documented:
+
+```markdown
+::: langgraph.graph.state.StateGraph
+    options:
+      show_if_no_docstring: true
+      show_root_heading: true
+      show_root_full_path: false
+      members:
+        - add_node
+        - add_edge
+        - add_conditional_edges
+        - add_sequence
+        - compile
 ```
 
-## Serving documentation locally
+## Build Process
 
-To run the documentation server locally you can run:
+Docs are built following these steps:
+
+1. **Content Processing:**
+   - `_scripts/notebook_hooks.py` - Main processing pipeline that:
+     - Converts how-tos/tutorial Jupyter notebooks to markdown using `notebook_convert.py`
+     - Adds automatic API reference links to code blocks using `generate_api_reference_links.py`
+     - Handles conditional rendering for Python/JS versions
+     - Processes highlight comments and custom syntax
+
+2. **API Reference Generation:**
+   - **mkdocstrings** plugin extracts docstrings from Python source code
+   - Manual `::: module.Class` directives in reference pages (`/docs/docs/*`) specify what to document
+   - Cross-references are automatically generated between docs and API
+
+3. **Site Generation:**
+   - **MkDocs** processes all markdown files and generates static HTML
+   - Custom hooks handle redirects and inject additional functionality
+
+4. **Deployment:**
+   - Site is deployed with Vercel
+   - `make build-docs` generates production build (also usable for local testing)
+   - Automatic redirects handle URL changes between versions
+
+### Local Development
+
+For local development, use the Makefile targets:
 
 ```bash
+# Serve docs locally with hot reloading
 make serve-docs
+
+# Clean build for production testing
+make build-docs
+
+# Serve with clean build
+make serve-clean-docs
 ```
 
-This will start the documentation server on [http://127.0.0.1:8000/langgraph/](http://127.0.0.1:8000/langgraph/).
+The `serve-docs` command:
+
+- Watches source files for changes
+- Includes dirty builds for faster iteration
+- Serves on [http://127.0.0.1:8000/langgraph/](http://127.0.0.1:8000/langgraph/)
+
+## Standards
+
+**Docstring Format:**
+The API reference uses **Google-style docstrings** with Markdown markup. The `mkdocstrings` plugin processes these to generate documentation.
+
+**Required format:**
+
+```python
+def example_function(param1: str, param2: int = 5) -> bool:
+    """Brief description of the function.
+
+    Longer description can go here. Use Markdown syntax for
+    rich formatting like **bold** and *italic*.
+
+    Args:
+        param1: Description of the first parameter.
+        param2: Description of the second parameter with default value.
+
+    Returns:
+        Description of the return value.
+
+    Raises:
+        ValueError: When param1 is empty.
+        TypeError: When param2 is not an integer.
+
+    !!! warning
+        This function is experimental and may change.
+
+    !!! version-added "Added in version 0.2.0"
+    """
+```
+
+**Special Markers:**
+
+- **MkDocs admonitions**: `!!! warning`, `!!! note`, `!!! version-added`
+- **Code blocks**: Standard markdown ``` syntax
+- **Cross-references**: Automatic linking via `generate_api_reference_links.py`
 
 ## Execute notebooks
 
-If you would like to automatically execute all of the notebooks, to mimic the "Run notebooks" GHA, you can run:
+If you would like to automatically execute all of the notebooks, to mimic the "Run notebooks" GitHub action, you can run:
 
 ```bash
 python _scripts/prepare_notebooks_for_ci.py
@@ -33,8 +135,9 @@ python _scripts/prepare_notebooks_for_ci.py --comment-install-cells
 ```
 
 `prepare_notebooks_for_ci.py` script will add VCR cassette context manager for each cell in the notebook, so that:
-* when the notebook is run for the first time, cells with network requests will be recorded to a VCR cassette file
-* when the notebook is run subsequently, the cells with network requests will be replayed from the cassettes
+
+- when the notebook is run for the first time, cells with network requests will be recorded to a VCR cassette file
+- when the notebook is run subsequently, the cells with network requests will be replayed from the cassettes
 
 ## Adding new notebooks
 

docs/_scripts/generate_api_reference_links.py

@@ -1,3 +1,5 @@
+"""Generate API reference links for imports in Python code blocks within markdown files."""
+
 import ast
 import importlib
 import logging
@@ -70,8 +72,18 @@ MANUAL_API_REFERENCES_LANGGRAPH = [
     ([], "langgraph.checkpoint.postgres.aio", "AsyncPostgresSaver", "checkpoints"),
     ([], "langgraph.checkpoint.postgres", "PostgresSaver", "checkpoints"),
     # other prebuilts
-    (["langgraph_supervisor"], "langgraph_supervisor.supervisor", "create_supervisor", "supervisor"),
-    (["langgraph_supervisor"], "langgraph_supervisor.handoff", "create_handoff_tool", "supervisor"),
+    (
+        ["langgraph_supervisor"],
+        "langgraph_supervisor.supervisor",
+        "create_supervisor",
+        "supervisor",
+    ),
+    (
+        ["langgraph_supervisor"],
+        "langgraph_supervisor.handoff",
+        "create_handoff_tool",
+        "supervisor",
+    ),
     ([], "langgraph_supervisor.handoff", "create_forward_message_tool", "supervisor"),
     (["langgraph_swarm"], "langgraph_swarm.swarm", "create_swarm", "swarm"),
     (["langgraph_swarm"], "langgraph_swarm.swarm", "add_active_agent_router", "swarm"),

docs/_scripts/notebook_convert.py

@@ -1,3 +1,5 @@
+"""Convert Jupyter notebooks to markdown with custom processing."""
+
 import ast
 import os
 import re

docs/docs/reference/errors.md

@@ -1,3 +0,0 @@
-# Errors
-
-::: langgraph.errors

docs/docs/reference/index.md

@@ -1,6 +1,6 @@
 ---
 title: Reference
-description: API reference for LangGraph
+description: API reference
 search:
   boost: 0.5
 ---
@@ -13,44 +13,4 @@ search:
 
 # Reference
 
-Welcome to the LangGraph reference docs! These pages detail the core interfaces you will use when building with LangGraph. Each section covers a different part of the ecosystem.
-
-!!! tip
-
-    If you are just getting started, see [LangGraph basics](../concepts/why-langgraph.md) for an introduction to the main concepts and usage patterns.
-
-
-## LangGraph
-
-The core APIs for the LangGraph open source library.
-
-- [Graphs](graphs.md): Main graph abstraction and usage.
-- [Functional API](func.md): Functional programming interface for graphs.
-- [Pregel](pregel.md): Pregel-inspired computation model.
-- [Checkpointing](checkpoints.md): Saving and restoring graph state.
-- [Storage](store.md): Storage backends and options.
-- [Caching](cache.md): Caching mechanisms for performance.
-- [Types](types.md): Type definitions for graph components.
-- [Config](config.md): Configuration options.
-- [Errors](errors.md): Error types and handling.
-- [Constants](constants.md): Global constants.
-- [Channels](channels.md): Message passing and channels.
-
-## Prebuilt components
-
-Higher-level abstractions for common workflows, agents, and other patterns.
-
-- [Agents](agents.md): Built-in agent patterns.
-- [Supervisor](supervisor.md): Orchestration and delegation.
-- [Swarm](swarm.md): Multi-agent collaboration.
-- [MCP Adapters](mcp.md): Integrations with external systems.
-
-## LangGraph Platform
-
-Tools for deploying and connecting to the LangGraph Platform.
-
-- [SDK (Python)](../cloud/reference/sdk/python_sdk_ref.md): Python SDK for interacting with instances of the LangGraph Server.
-- [SDK (JS/TS)](../cloud/reference/sdk/js_ts_sdk_ref.md): JavaScript/TypeScript SDK for interacting with instances of the LangGraph Server.
-- [RemoteGraph](remote_graph.md): `Pregel` abstraction for connecting to LangGraph Server instances.
-
-See the [LangGraph Platform reference](https://docs.langchain.com/langgraph-platform/reference-overview) for more reference documentation.
+Welcome to the reference docs!

docs/docs/reference/langchain_core/index.md

@@ -0,0 +1,25 @@
+---
+title: LangChain Core Reference
+description: API reference for LangChain Core
+search:
+  boost: 0.5
+---
+
+<style>
+.md-sidebar {
+  display: block !important;
+}
+</style>
+
+# LangChain Core Reference
+
+LangChain Core provides the foundational abstractions and base classes for the LangChain ecosystem. It includes core components like:
+
+- **Language Models**: Base classes for chat models and language models
+- **Runnables**: The foundational abstraction for building composable chains
+- **Output Parsers**: Classes for parsing and formatting model outputs
+- **Document Loaders and Vectorstores**: Core interfaces for data handling
+- **Callbacks and Tracing**: System for observability and debugging
+- **Prompts**: Template classes for prompt management
+
+This API reference provides comprehensive documentation for all public classes and functions in LangChain Core.

docs/docs/reference/langchain_core/language-models.md

@@ -0,0 +1,9 @@
+# Language Models
+
+ The core language model interfaces provided by LangChain Core.
+
+::: langchain_core.language_models
+    options:
+      show_if_no_docstring: true
+      show_root_heading: true
+      show_root_full_path: false

docs/docs/reference/langgraph/cache.md

@@ -2,4 +2,4 @@
 
 ::: langgraph.cache.base
 ::: langgraph.cache.memory
-::: langgraph.cache.sqlite
+::: langgraph.cache.sqlite

docs/docs/reference/langgraph/config.md

@@ -2,4 +2,4 @@
     options:
       members:
         - get_store
-        - get_stream_writer
+        - get_stream_writer

docs/docs/reference/langgraph/errors.md

@@ -0,0 +1,3 @@
+# Errors
+
+::: langgraph.errors

docs/docs/reference/langgraph/func.md

@@ -2,4 +2,4 @@
     options:
       members:
         - task
-        - entrypoint
+        - entrypoint

docs/docs/reference/langgraph/graphs.md

@@ -39,4 +39,4 @@
 ::: langgraph.graph.message
     options:
       members:
-        - add_messages
+        - add_messages

docs/docs/reference/langgraph/index.md

@@ -0,0 +1,30 @@
+---
+title: LangGraph Reference
+description: API reference for LangGraph
+search:
+  boost: 0.5
+---
+
+<style>
+.md-sidebar {
+  display: block !important;
+}
+</style>
+
+# LangGraph Reference
+
+Welcome to the LangGraph reference docs! These pages detail the core interfaces you will use when building with LangGraph. Each section covers a different part of the ecosystem.
+
+The core APIs for the LangGraph open source library:
+
+- [Graphs](graphs.md): Main graph abstraction and usage.
+- [Functional API](func.md): Functional programming interface for graphs.
+- [Pregel](pregel.md): Pregel-inspired computation model.
+- [Checkpointing](checkpoints.md): Saving and restoring graph state.
+- [Storage](store.md): Storage backends and options.
+- [Caching](cache.md): Caching mechanisms for performance.
+- [Types](types.md): Type definitions for graph components.
+- [Config](config.md): Configuration options.
+- [Errors](errors.md): Error types and handling.
+- [Constants](constants.md): Global constants.
+- [Channels](channels.md): Message passing and channels.

docs/docs/reference/langgraph/pregel.md

@@ -38,4 +38,4 @@
         - aget_graph
         - get_subgraphs
         - aget_subgraphs
-        - with_config
+        - with_config

docs/docs/reference/langgraph/runtime.md

@@ -14,5 +14,3 @@
     options:
       members:
         - get_runtime
-
-

docs/docs/reference/langgraph/store.md

@@ -1,6 +1,5 @@
 # Storage
 
 ::: langgraph.store.base
-    
 
-::: langgraph.store.postgres
+::: langgraph.store.postgres

docs/mkdocs.yml

@@ -167,7 +167,7 @@ plugins:
             allow_inspection: true
             heading_level: 2
             show_bases: true
-            show_source: false 
+            show_source: false
             summary: true
             inherited_members: true
             selection:
@@ -187,126 +187,129 @@ plugins:
 
 nav:
   - Get started:
-    - index.md
-    - Quickstarts:
-      - Start with a prebuilt agent: agents/agents.md
-      - Build a custom workflow:
-          -  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
-    - General concepts:
-      - Workflows & agents: tutorials/workflows.md
-      - Agent architectures: concepts/agentic_concepts.md
+      - index.md
+      - Quickstarts:
+          - Start with a prebuilt agent: agents/agents.md
+          - Build a custom workflow:
+              - 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
+      - General concepts:
+          - Workflows & agents: tutorials/workflows.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
-          - Use the Graph API: how-tos/graph-api.md
-      - Functional API:
-          - Overview: concepts/functional_api.md
-          - Use the Functional API: how-tos/use-functional-api.md
-      - Runtime: concepts/pregel.md
-    - Core capabilities:
-      - Streaming:
-          - Overview: concepts/streaming.md
-          - Stream outputs: 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
-      - 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
-      - Time travel:
-          - Overview: concepts/time-travel.md
-          - Use time travel: how-tos/human_in_the_loop/time-travel.md
-      - Subgraphs:
-          - Overview: concepts/subgraphs.md
-          - Use subgraphs: how-tos/subgraph.md
-      - Multi-agent:
-          - Overview: concepts/multi_agent.md
-          - Prebuilt implementation: agents/multi-agent.md
-          - Custom implementation: how-tos/multi_agent.md
-      - MCP:
-          - Overview: concepts/mcp.md
-          - Use MCP: agents/mcp.md
-      - Tracing:
-          - Overview: concepts/tracing.md
-          - Enable tracing: how-tos/enable-tracing.md
-          - Evaluate performance: agents/evals.md
+      - 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
+              - Use the Graph API: how-tos/graph-api.md
+          - Functional API:
+              - Overview: concepts/functional_api.md
+              - Use the Functional API: how-tos/use-functional-api.md
+          - Runtime: concepts/pregel.md
+      - Core capabilities:
+          - Streaming:
+              - Overview: concepts/streaming.md
+              - Stream outputs: 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
+          - 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
+          - Time travel:
+              - Overview: concepts/time-travel.md
+              - Use time travel: how-tos/human_in_the_loop/time-travel.md
+          - Subgraphs:
+              - Overview: concepts/subgraphs.md
+              - Use subgraphs: how-tos/subgraph.md
+          - Multi-agent:
+              - Overview: concepts/multi_agent.md
+              - Prebuilt implementation: agents/multi-agent.md
+              - Custom implementation: how-tos/multi_agent.md
+          - MCP:
+              - Overview: concepts/mcp.md
+              - Use MCP: agents/mcp.md
+          - Tracing:
+              - Overview: concepts/tracing.md
+              - Enable tracing: how-tos/enable-tracing.md
+              - Evaluate performance: agents/evals.md
 
   - Reference:
-    - reference/index.md
-    - LangGraph:
-      - Graphs: reference/graphs.md
-      - Functional API: reference/func.md
-      - Pregel: reference/pregel.md
-      - Checkpointing: reference/checkpoints.md
-      - Storage: reference/store.md
-      - Caching: reference/cache.md
-      - Types: reference/types.md
-      - Runtime: reference/runtime.md
-      - Config: reference/config.md
-      - Errors: reference/errors.md
-      - Constants: reference/constants.md
-      - Channels: reference/channels.md
-    - Prebuilt:
-      - Agents: reference/agents.md
-      - Supervisor: reference/supervisor.md
-      - Swarm: reference/swarm.md
-      - MCP Adapters: reference/mcp.md
-    - LangGraph Platform:
-      - SDK (Python): cloud/reference/sdk/python_sdk_ref.md
-      - SDK (JS/TS): https://langchain-ai.github.io/langgraphjs/reference/modules/sdk.html
-      - RemoteGraph: reference/remote_graph.md
+      - reference/index.md
+      - LangGraph:
+          - Overview: reference/langgraph/index.md
+          - Graphs: reference/langgraph/graphs.md
+          - Functional API: reference/langgraph/func.md
+          - Pregel: reference/langgraph/pregel.md
+          - Checkpointing: reference/langgraph/checkpoints.md
+          - Storage: reference/langgraph/store.md
+          - Caching: reference/langgraph/cache.md
+          - Types: reference/langgraph/types.md
+          - Runtime: reference/langgraph/runtime.md
+          - Config: reference/langgraph/config.md
+          - Errors: reference/langgraph/errors.md
+          - Constants: reference/langgraph/constants.md
+          - Channels: reference/langgraph/channels.md
+      - LangChain Core:
+          - Overview: reference/langchain_core/index.md
+          - Language Models: reference/langchain_core/language-models.md
+      - Prebuilt:
+          - Agents: reference/agents.md
+          - Supervisor: reference/supervisor.md
+          - Swarm: reference/swarm.md
+          - MCP Adapters: reference/mcp.md
+      - LangGraph Platform:
+          - SDK (Python): cloud/reference/sdk/python_sdk_ref.md
+          - SDK (JS/TS): https://langchain-ai.github.io/langgraphjs/reference/modules/sdk.html
+          - RemoteGraph: reference/remote_graph.md
 
   - Examples:
-    - examples/index.md
-    - Template applications: concepts/template_applications.md  # TODO: make tutorial
-    - Agentic RAG: tutorials/rag/langgraph_agentic_rag.md
-    - Agent Supervisor: tutorials/multi_agent/agent_supervisor.md
-    - SQL agent: tutorials/sql/sql-agent.md
-    - Prebuilt chat UI: agents/ui.md
-    - Graph runs in LangSmith: how-tos/run-id-langsmith.md
+      - examples/index.md
+      - Template applications: concepts/template_applications.md # TODO: make tutorial
+      - Agentic RAG: tutorials/rag/langgraph_agentic_rag.md
+      - Agent Supervisor: tutorials/multi_agent/agent_supervisor.md
+      - SQL agent: tutorials/sql/sql-agent.md
+      - Prebuilt chat UI: agents/ui.md
+      - Graph runs in LangSmith: how-tos/run-id-langsmith.md
 
   - Additional resources:
-    - additional-resources/index.md
-    - agents/prebuilt.md # NOTE: prebuilt.md is auto-generated by `make build-prebuilt`
-    - LangGraph Academy course: https://academy.langchain.com/courses/intro-to-langgraph
-    - 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
-          - troubleshooting/errors/GRAPH_RECURSION_LIMIT.md
-          - troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md
-          - troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md
-          - troubleshooting/errors/MULTIPLE_SUBGRAPHS.md
-          - troubleshooting/errors/INVALID_CHAT_HISTORY.md
-          - troubleshooting/errors/INVALID_LICENSE.md
-    
+      - additional-resources/index.md
+      - agents/prebuilt.md # NOTE: prebuilt.md is auto-generated by `make build-prebuilt`
+      - LangGraph Academy course: https://academy.langchain.com/courses/intro-to-langgraph
+      - 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
+              - troubleshooting/errors/GRAPH_RECURSION_LIMIT.md
+              - troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md
+              - troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md
+              - troubleshooting/errors/MULTIPLE_SUBGRAPHS.md
+              - troubleshooting/errors/INVALID_CHAT_HISTORY.md
+              - troubleshooting/errors/INVALID_LICENSE.md
 
 markdown_extensions:
   - abbr
@@ -371,7 +374,7 @@ extra:
 validation:
   # https://www.mkdocs.org/user-guide/configuration/
   # We are still raising for omitted files because they determine the breadcrumbs for pages.
-  omitted_files: info 
+  omitted_files: info
   absolute_links: warn
   unrecognized_links: warn
   anchors: warn
@@ -383,4 +386,4 @@ extra_css:
   - stylesheets/version_admonitions.css
   - stylesheets/logos.css
   - stylesheets/sticky_navigation.css
-  - stylesheets/agent_graph_widget.css
+  - stylesheets/agent_graph_widget.css

docs/pyproject.toml

@@ -7,14 +7,14 @@ name = "langgraph-docs"
 version = "0.0.1"
 description = "LangGraph docs"
 authors = []
-requires-python = "~=3.11"
+requires-python = ">=3.11.0,<4.0.0"
 readme = "README.md"
 license = "MIT"
 dependencies = [
     "aiohappyeyeballs==2.4.3",
-    "hub>=3.0.1,<4",
-    "xxhash>=3.5.0,<4",
-    "black>=25.1.0,<26",
+    "hub>=3.0.1,<4.0.0",
+    "xxhash>=3.5.0,<4.0.0",
+    "black>=25.1.0,<26.0.0",
 ]
 
 [dependency-groups]

docs/uv.lock

@@ -1,5 +1,5 @@
 version = 1
-revision = 2
+revision = 3
 requires-python = ">=3.11, <4"
 resolution-markers = [
     "python_full_version >= '3.13' and platform_python_implementation != 'PyPy'",
@@ -2337,7 +2337,7 @@ wheels = [
 
 [[package]]
 name = "langgraph"
-version = "0.6.2"
+version = "0.6.7"
 source = { editable = "../libs/langgraph" }
 dependencies = [
     { name = "langchain-core" },
@@ -2380,6 +2380,7 @@ dev = [
     { name = "pytest-repeat" },
     { name = "pytest-watcher" },
     { name = "pytest-xdist", extras = ["psutil"] },
+    { name = "redis" },
     { name = "ruff" },
     { name = "syrupy" },
     { name = "types-requests" },
@@ -2413,6 +2414,7 @@ dev = [
     { name = "pytest-asyncio" },
     { name = "pytest-mock" },
     { name = "pytest-watcher" },
+    { name = "redis" },
     { name = "ruff" },
 ]
 
@@ -2643,7 +2645,7 @@ test = [
 
 [[package]]
 name = "langgraph-prebuilt"
-version = "0.6.2"
+version = "0.6.4"
 source = { editable = "../libs/prebuilt" }
 dependencies = [
     { name = "langchain-core" },
@@ -2674,7 +2676,6 @@ dev = [
 
 [[package]]
 name = "langgraph-sdk"
-version = "0.2.0"
 source = { editable = "../libs/sdk-py" }
 dependencies = [
     { name = "httpx" },

libs/checkpoint-postgres/langgraph/checkpoint/postgres/__init__.py

@@ -450,7 +450,7 @@ class PostgresSaver(BasePostgresSaver):
             {
                 **value["checkpoint"],
                 "channel_values": {
-                    **value["checkpoint"].get("channel_values"),
+                    **(value["checkpoint"].get("channel_values") or {}),
                     **self._load_blobs(value["channel_values"]),
                 },
             },

libs/checkpoint-postgres/langgraph/checkpoint/postgres/aio.py

@@ -409,7 +409,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
             {
                 **value["checkpoint"],
                 "channel_values": {
-                    **value["checkpoint"].get("channel_values"),
+                    **(value["checkpoint"].get("channel_values") or {}),
                     **self._load_blobs(value["channel_values"]),
                 },
             },

libs/checkpoint-postgres/tests/test_async.py

@@ -344,3 +344,34 @@ async def test_pending_sends_migration(saver_name: str) -> None:
             TASKS: ["send-1", "send-2", "send-3"]
         }
         assert TASKS in search_results[0].checkpoint["channel_versions"]
+
+
+@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
+async def test_get_checkpoint_no_channel_values(
+    monkeypatch, saver_name: str, test_data
+) -> None:
+    """Backwards compatibility test that verifies a checkpoint with no channel_values key can be retrieved without throwing an error."""
+    async with _saver(saver_name) as saver:
+        config = {
+            "configurable": {
+                "thread_id": "thread-2",
+                "checkpoint_ns": "",
+                "__super_private_key": "super_private_value",
+            },
+            "metadata": {"run_id": "my_run_id"},
+        }
+        chkpnt: Checkpoint = create_checkpoint(empty_checkpoint(), {}, 1)
+        await saver.aput(config, chkpnt, {}, {})
+
+        load_checkpoint_tuple = saver._load_checkpoint_tuple
+
+        def patched_load_checkpoint_tuple(value):
+            value["checkpoint"].pop("channel_values", None)
+            return load_checkpoint_tuple(value)
+
+        monkeypatch.setattr(
+            saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple
+        )
+
+        checkpoint = await saver.aget_tuple(config)
+        assert checkpoint.checkpoint["channel_values"] == {}

libs/checkpoint-postgres/tests/test_sync.py

@@ -332,3 +332,33 @@ def test_pending_sends_migration(saver_name: str) -> None:
             TASKS: ["send-1", "send-2", "send-3"]
         }
         assert TASKS in search_results[0].checkpoint["channel_versions"]
+
+
+@pytest.mark.parametrize("saver_name", ["base", "pool", "pipe"])
+def test_get_checkpoint_no_channel_values(
+    monkeypatch, saver_name: str, test_data
+) -> None:
+    """Backwards compatibility test that verifies a checkpoint with no channel_values key can be retrieved without throwing an error."""
+    with _saver(saver_name) as saver:
+        config = {
+            "configurable": {
+                "thread_id": "thread-2",
+                "checkpoint_ns": "",
+                "__super_private_key": "super_private_value",
+            },
+        }
+        chkpnt: Checkpoint = create_checkpoint(empty_checkpoint(), {}, 1)
+        saver.put(config, chkpnt, {}, {})
+
+        load_checkpoint_tuple = saver._load_checkpoint_tuple
+
+        def patched_load_checkpoint_tuple(value):
+            value["checkpoint"].pop("channel_values", None)
+            return load_checkpoint_tuple(value)
+
+        monkeypatch.setattr(
+            saver, "_load_checkpoint_tuple", patched_load_checkpoint_tuple
+        )
+
+        checkpoint = saver.get_tuple(config)
+        assert checkpoint.checkpoint["channel_values"] == {}

libs/checkpoint-postgres/uv.lock

@@ -323,7 +323,7 @@ dev = [
 
 [[package]]
 name = "langsmith"
-version = "0.4.27"
+version = "0.4.29"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx" },
@@ -334,14 +334,14 @@ dependencies = [
     { name = "requests-toolbelt" },
     { name = "zstandard" },
 ]
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+    { url = "https://files.pythonhosted.org/packages/f2/a5/56169ce49b3020b47112703b2f9ed0e3255073c8d438b74406b290fb5687/langsmith-0.4.29-py3-none-any.whl", hash = "sha256:20f39c96057d47a83b6df2b18a5137e2389b5b41f34fe0a64a8d6812de3c0ccf", size = 386229, upload-time = "2025-09-18T22:07:56.887Z" },
 ]
 
 [[package]]
 name = "mypy"
-version = "1.18.1"
+version = "1.18.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "mypy-extensions" },
@@ -349,45 +349,45 @@ dependencies = [
     { name = "tomli", marker = "python_full_version < '3.11'" },
     { name = "typing-extensions" },
 ]
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 ]

libs/checkpoint-sqlite/langgraph/store/sqlite/aio.py

@@ -507,7 +507,9 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
             results: List to store results in.
             cur: Database cursor.
         """
-        queries, embedding_requests = self._prepare_batch_search_queries(search_ops)
+        prepared_queries, embedding_requests = self._prepare_batch_search_queries(
+            search_ops
+        )
 
         # Setup dot_product function if it doesn't exist
         if embedding_requests and self.embeddings:
@@ -515,23 +517,60 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                 [query for _, query in embedding_requests]
             )
 
-            for (idx, _), embedding in zip(embedding_requests, vectors):
-                _params_list: list = queries[idx][1]
-                for i, param in enumerate(_params_list):
-                    if param is _PLACEHOLDER:
-                        _params_list[i] = sqlite_vec.serialize_float32(embedding)
+            for (embed_req_idx, _), embedding in zip(embedding_requests, vectors):
+                # Find the corresponding query in prepared_queries
+                # The embed_req_idx is the original index in search_ops, which should map to prepared_queries
+                if embed_req_idx < len(prepared_queries):
+                    _params_list: list = prepared_queries[embed_req_idx][1]
+                    for i, param in enumerate(_params_list):
+                        if param is _PLACEHOLDER:
+                            _params_list[i] = sqlite_vec.serialize_float32(embedding)
+                else:
+                    logger.warning(
+                        f"Embedding request index {embed_req_idx} out of bounds for prepared_queries."
+                    )
 
-        for (idx, _), (query, params) in zip(search_ops, queries):
+        for (original_op_idx, _), (query, params, needs_refresh) in zip(
+            search_ops, prepared_queries
+        ):
             await cur.execute(query, params)
             rows = await cur.fetchall()
 
-            if "score" in query:
+            if needs_refresh and rows and self.ttl_config:
+                keys_to_refresh = []
+                for row_data in rows:
+                    # Assuming row_data[0] is prefix (text), row_data[1] is key (text)
+                    # These are raw text values directly from the DB.
+                    keys_to_refresh.append((row_data[0], row_data[1]))
+
+                if keys_to_refresh:
+                    updates_by_prefix = defaultdict(list)
+                    for prefix_text, key_text in keys_to_refresh:
+                        updates_by_prefix[prefix_text].append(key_text)
+
+                    for prefix_text, key_list in updates_by_prefix.items():
+                        placeholders = ",".join(["?"] * len(key_list))
+                        update_query = f"""
+                            UPDATE store
+                            SET expires_at = DATETIME(CURRENT_TIMESTAMP, '+' || ttl_minutes || ' minutes')
+                            WHERE prefix = ? AND key IN ({placeholders}) AND ttl_minutes IS NOT NULL
+                        """
+                        update_params = (prefix_text, *key_list)
+                        try:
+                            await cur.execute(update_query, update_params)
+                        except Exception as e:
+                            logger.error(
+                                f"Error during TTL refresh update for search: {e}"
+                            )
+
+            # Process rows into items
+            if "score" in query:  # Vector search query
                 items = [
                     _row_to_search_item(
-                        _decode_ns_text(row[0]),
+                        _decode_ns_text(row[0]),  # prefix
                         {
-                            "key": row[1],
-                            "value": row[2],
+                            "key": row[1],  # key
+                            "value": row[2],  # value
                             "created_at": row[3],
                             "updated_at": row[4],
                             "expires_at": row[5] if len(row) > 5 else None,
@@ -545,10 +584,10 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
             else:  # Regular search query
                 items = [
                     _row_to_search_item(
-                        _decode_ns_text(row[0]),
+                        _decode_ns_text(row[0]),  # prefix
                         {
-                            "key": row[1],
-                            "value": row[2],
+                            "key": row[1],  # key
+                            "value": row[2],  # value
                             "created_at": row[3],
                             "updated_at": row[4],
                             "expires_at": row[5] if len(row) > 5 else None,
@@ -559,7 +598,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
                     for row in rows
                 ]
 
-            results[idx] = items
+            results[original_op_idx] = items
 
     async def _batch_list_namespaces_ops(
         self,

libs/checkpoint-sqlite/langgraph/store/sqlite/base.py

@@ -371,13 +371,15 @@ class BaseSqliteStore:
     def _prepare_batch_search_queries(
         self, search_ops: Sequence[tuple[int, SearchOp]]
     ) -> tuple[
-        list[tuple[str, list[None | str | list[float]]]],  # queries, params
+        list[
+            tuple[str, list[None | str | list[float]], bool]
+        ],  # queries, params, needs_refresh
         list[tuple[int, str]],  # idx, query_text pairs to embed
     ]:
         """
-        Build per-SearchOp SQL queries (with optional TTL refresh) plus embedding requests.
+        Build per-SearchOp SQL queries (with optional TTL refresh flag) plus embedding requests.
         Returns:
-        - queries: list of (SQL, param_list)
+        - queries: list of (SQL, param_list, needs_ttl_refresh_flag)
         - embedding_requests: list of (original_index_in_search_ops, text_query)
         """
         queries = []
@@ -518,30 +520,18 @@ class BaseSqliteStore:
                 logger.debug(f"Search query: {base_query}")
                 logger.debug(f"Search params: {params}")
 
-            # Handle TTL refresh if requested
-            if (
+            # Determine if TTL refresh is needed
+            needs_ttl_refresh = bool(
                 op.refresh_ttl
                 and self.ttl_config
                 and self.ttl_config.get("refresh_on_read", False)
-            ):
-                final_sql = f"""
-                    WITH search_results AS (
-                        {base_query}
-                    ),
-                    updated AS (
-                        UPDATE store
-                        SET expires_at = DATETIME(CURRENT_TIMESTAMP, '+' || ttl_minutes || ' minutes')
-                        WHERE (prefix, key) IN (SELECT prefix, key FROM search_results)
-                        AND ttl_minutes IS NOT NULL
-                    )
-                    SELECT * FROM search_results
-                """
-                final_params = params[:]  # copy params
-            else:
-                final_sql = base_query
-                final_params = params
+            )
 
-            queries.append((final_sql, final_params))
+            # The base_query is now the final_sql, and we pass the refresh flag
+            final_sql = base_query
+            final_params = params
+
+            queries.append((final_sql, final_params, needs_ttl_refresh))
 
         return queries, embedding_requests
 
@@ -1330,7 +1320,9 @@ class SqliteStore(BaseSqliteStore, BaseStore):
         results: list[Result],
         cur: sqlite3.Cursor,
     ) -> None:
-        queries, embedding_requests = self._prepare_batch_search_queries(search_ops)
+        prepared_queries, embedding_requests = self._prepare_batch_search_queries(
+            search_ops
+        )
 
         # Setup similarity functions if they don't exist
         if embedding_requests and self.embeddings:
@@ -1340,16 +1332,48 @@ class SqliteStore(BaseSqliteStore, BaseStore):
             )
 
             # Replace placeholders with actual embeddings
-            for (idx, _), embedding in zip(embedding_requests, embeddings):
-                _params_list: list = queries[idx][1]
-                for i, param in enumerate(_params_list):
-                    if param is _PLACEHOLDER:
-                        _params_list[i] = sqlite_vec.serialize_float32(embedding)
+            for (embed_req_idx, _), embedding in zip(embedding_requests, embeddings):
+                if embed_req_idx < len(prepared_queries):
+                    _params_list: list = prepared_queries[embed_req_idx][1]
+                    for i, param in enumerate(_params_list):
+                        if param is _PLACEHOLDER:
+                            _params_list[i] = sqlite_vec.serialize_float32(embedding)
+                else:
+                    logger.warning(
+                        f"Embedding request index {embed_req_idx} out of bounds for prepared_queries."
+                    )
 
-        for (idx, _), (query, params) in zip(search_ops, queries):
+        for (original_op_idx, _), (query, params, needs_refresh) in zip(
+            search_ops, prepared_queries
+        ):
             cur.execute(query, params)
             rows = cur.fetchall()
 
+            if needs_refresh and rows and self.ttl_config:
+                keys_to_refresh = []
+                for row_data in rows:
+                    keys_to_refresh.append((row_data[0], row_data[1]))
+
+                if keys_to_refresh:
+                    updates_by_prefix = defaultdict(list)
+                    for prefix_text, key_text in keys_to_refresh:
+                        updates_by_prefix[prefix_text].append(key_text)
+
+                    for prefix_text, key_list in updates_by_prefix.items():
+                        placeholders = ",".join(["?"] * len(key_list))
+                        update_query = f"""
+                            UPDATE store
+                            SET expires_at = DATETIME(CURRENT_TIMESTAMP, '+' || ttl_minutes || ' minutes')
+                            WHERE prefix = ? AND key IN ({placeholders}) AND ttl_minutes IS NOT NULL
+                        """
+                        update_params = (prefix_text, *key_list)
+                        try:
+                            cur.execute(update_query, update_params)
+                        except Exception as e:
+                            logger.error(
+                                f"Error during TTL refresh update for search: {e}"
+                            )
+
             if "score" in query:  # Vector search query
                 items = [
                     _row_to_search_item(
@@ -1384,7 +1408,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
                     for row in rows
                 ]
 
-            results[idx] = items
+            results[original_op_idx] = items
 
     def _batch_list_namespaces_ops(
         self,

libs/checkpoint-sqlite/tests/test_sqlite.py

@@ -116,7 +116,17 @@ class TestSqliteSaver:
                 search_results_5[1].config["configurable"]["checkpoint_ns"],
             } == {"", "inner"}
 
-            # TODO: test before and limit params
+            # search with before param
+            search_results_6 = list(saver.list(None, before=search_results_5[1].config))
+            assert len(search_results_6) == 1
+            assert search_results_6[0].config["configurable"]["thread_id"] == "thread-1"
+
+            # search with limit param
+            search_results_7 = list(
+                saver.list({"configurable": {"thread_id": "thread-2"}}, limit=1)
+            )
+            assert len(search_results_7) == 1
+            assert search_results_7[0].config["configurable"]["thread_id"] == "thread-2"
 
     def test_search_where(self) -> None:
         # call method / assertions

libs/checkpoint-sqlite/tests/test_ttl.py

@@ -363,3 +363,67 @@ async def test_async_search_with_ttl(temp_db_file: str) -> None:
         # Search after expiration
         results = await store.asearch(("test",), filter={"value": "apple"})
         assert len(results) == 0
+
+
+@pytest.mark.asyncio
+@pytest.mark.flaky(retries=3)
+async def test_async_asearch_refresh_ttl(temp_db_file: str) -> None:
+    """Test TTL refresh on asearch with async API."""
+    ttl_seconds = 4.0  # Increased TTL for less sensitivity to timing
+    ttl_minutes = ttl_seconds / 60.0
+
+    async with AsyncSqliteStore.from_conn_string(
+        temp_db_file, ttl={"default_ttl": ttl_minutes, "refresh_on_read": True}
+    ) as store:
+        await store.setup()
+
+        namespace = ("docs", "user1")
+        # t=0: items put, expire at t=4.0s
+        await store.aput(namespace, "item1", {"text": "content1", "id": 1})
+        await store.aput(namespace, "item2", {"text": "content2", "id": 2})
+
+        # t=3.0s: (after sleep ttl_seconds * 0.75 = 3s)
+        await asyncio.sleep(ttl_seconds * 0.75)
+
+        # Perform asearch with refresh_ttl=True for item1.
+        # item1's TTL should be refreshed. New expiry: t=3.0s + 4.0s = t=7.0s.
+        # item2's TTL is not affected. Expires at t=4.0s.
+        searched_items = await store.asearch(
+            namespace, filter={"id": 1}, refresh_ttl=True
+        )
+        assert len(searched_items) == 1
+        assert searched_items[0].key == "item1"
+
+        # t=5.0s: (after sleep ttl_seconds * 0.5 = 2s more. Total elapsed: 3s + 2s = 5s)
+        await asyncio.sleep(ttl_seconds * 0.5)
+        # At this point:
+        # - item1 (refreshed by asearch) should expire at t=7.0s. Should be ALIVE.
+        # - item2 (original TTL) should have expired at t=4.0s. Should be GONE after sweep.
+
+        await store.sweep_ttl()
+
+        # Check item1 (should exist due to asearch refresh)
+        item1_check1 = await store.aget(namespace, "item1", refresh_ttl=False)
+        assert item1_check1 is not None, (
+            "Item1 should exist after asearch refresh and first sweep"
+        )
+        assert item1_check1.value["text"] == "content1"
+
+        # Check item2 (should be gone)
+        item2_check1 = await store.aget(namespace, "item2", refresh_ttl=False)
+        assert item2_check1 is None, (
+            "Item2 should be gone after its original TTL expired"
+        )
+
+        # t=7.5s: (after sleep ttl_seconds * 0.625 = 2.5s more. Total elapsed: 5s + 2.5s = 7.5s)
+        await asyncio.sleep(ttl_seconds * 0.625)
+        # At this point:
+        # - item1 (refreshed by asearch, expired at t=7.0s) should be GONE after sweep.
+
+        await store.sweep_ttl()
+
+        # Check item1 again (should be gone now)
+        item1_final_check = await store.aget(namespace, "item1", refresh_ttl=False)
+        assert item1_final_check is None, (
+            "Item1 should be gone after its refreshed TTL expired"
+        )

libs/checkpoint-sqlite/uv.lock

@@ -331,7 +331,7 @@ dev = [
 
 [[package]]
 name = "langsmith"
-version = "0.4.27"
+version = "0.4.29"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "httpx" },
@@ -342,14 +342,14 @@ dependencies = [
     { name = "requests-toolbelt" },
     { name = "zstandard" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/62/6f/7d88228b7614fa0204e58b8b8c46e6f564659ee07a525c8aeae77a05598a/langsmith-0.4.27.tar.gz", hash = "sha256:6e8bbc425797202952d4e849431e6276e7985b44536ec0582eb96eaf9129c393", size = 956062, upload-time = "2025-09-08T19:01:49.677Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/99/0e/7e218e85e6e10b1313e8bca504917ec260766d3d4d2a30c5fddeeb6e80b1/langsmith-0.4.29.tar.gz", hash = "sha256:7014606b6710cc1b14333c75cdb981d5bea3ed488626a026bad51d2a61e354c4", size = 958792, upload-time = "2025-09-18T22:07:58.742Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/2d/26/99bc52e1c47fb4b995aece85a5313349a5e2559e4143ee2345d8bd1446ff/langsmith-0.4.27-py3-none-any.whl", hash = "sha256:23708e6478d1c74ac0e428bbc92df6704993e34305fb62a0c64d2fefc35bd67f", size = 384752, upload-time = "2025-09-08T19:01:47.362Z" },
+    { url = "https://files.pythonhosted.org/packages/f2/a5/56169ce49b3020b47112703b2f9ed0e3255073c8d438b74406b290fb5687/langsmith-0.4.29-py3-none-any.whl", hash = "sha256:20f39c96057d47a83b6df2b18a5137e2389b5b41f34fe0a64a8d6812de3c0ccf", size = 386229, upload-time = "2025-09-18T22:07:56.887Z" },
 ]
 
 [[package]]
 name = "mypy"
-version = "1.18.1"
+version = "1.18.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "mypy-extensions" },
@@ -357,45 +357,45 @@ dependencies = [
     { name = "tomli", marker = "python_full_version < '3.11'" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/14/a3/931e09fc02d7ba96da65266884da4e4a8806adcdb8a57faaacc6edf1d538/mypy-1.18.1.tar.gz", hash = "sha256:9e988c64ad3ac5987f43f5154f884747faf62141b7f842e87465b45299eea5a9", size = 3448447, upload-time = "2025-09-11T23:00:47.067Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/c0/77/8f0d0001ffad290cef2f7f216f96c814866248a0b92a722365ed54648e7e/mypy-1.18.2.tar.gz", hash = "sha256:06a398102a5f203d7477b2923dda3634c36727fa5c237d8f859ef90c42a9924b", size = 3448846, upload-time = "2025-09-19T00:11:10.519Z" }
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libs/checkpoint/uv.lock

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libs/cli/examples/graph_prerelease_reqs/agent.py

@@ -1,7 +1,6 @@
 from collections.abc import Sequence
 from typing import Annotated, Literal, TypedDict
 
-from langchain.chat_models import init_chat_model
 from langchain_community.tools.tavily_search import TavilySearchResults
 from langchain_core.messages import BaseMessage
 from langchain_openai import ChatOpenAI
@@ -10,10 +9,8 @@ from langgraph.prebuilt import ToolNode
 
 tools = [TavilySearchResults(max_results=1)]
 
-model_anth = init_chat_model("claude-3-7-sonnet-20250219", model_provider="anthropic")
 model_oai = ChatOpenAI(temperature=0)
 
-model_anth = model_anth.bind_tools(tools)
 model_oai = model_oai.bind_tools(tools)
 
 
@@ -35,10 +32,7 @@ def should_continue(state):
 
 # Define the function that calls the model
 def call_model(state, config):
-    if config["configurable"].get("model", "anthropic") == "anthropic":
-        model = model_anth
-    else:
-        model = model_oai
+    model = model_oai
     messages = state["messages"]
     response = model.invoke(messages)
     # We return a list, because this will get added to the existing list

libs/cli/examples/graph_prerelease_reqs/deps/additional_deps/pyproject.toml

@@ -0,0 +1,9 @@
+[project]
+name = "graph-prerelease-reqs-additional-deps"
+version = "0.1.0"
+description = "Test for prerelease stuff"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+  "langgraph==0.6.0"
+]

libs/cli/examples/graph_prerelease_reqs/deps/zuper_deps/pyproject.toml

@@ -0,0 +1,9 @@
+[project]
+name = "graph-prerelease-reqs-zuper-deps"
+version = "0.1.0"
+description = "Test for prerelease stuff"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+  "langchain-openai==0.3.0"
+]

libs/cli/examples/graph_prerelease_reqs/langgraph.json

@@ -1,7 +1,9 @@
 {
     "python_version": "3.12",
     "dependencies": [
-      "."
+      ".",
+      "./deps/additional_deps",
+      "./deps/zuper_deps"
     ],
     "graphs": {
       "agent": "./agent.py:graph"

libs/cli/examples/graph_prerelease_reqs/pyproject.toml

@@ -0,0 +1,14 @@
+[project]
+name = "graph-prerelease-reqs"
+version = "0.1.0"
+description = "Test for prerelease stuff"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+  "langchain-openai==1.0.0a2",
+  "langgraph==1.0.0a2",
+  "langchain_community>=0.3.0",
+]
+
+[tool.uv]
+prerelease = "allow"

libs/cli/examples/graph_prerelease_reqs/requirements.txt

@@ -1,6 +0,0 @@
-requests
-langchain_anthropic
-langchain_openai
-langchain_community
-langchain
-langgraph==1.0.0a2

libs/cli/examples/graph_prerelease_reqs_fail/agent.py

@@ -0,0 +1,89 @@
+from collections.abc import Sequence
+from typing import Annotated, Literal, TypedDict
+
+from langchain_community.tools.tavily_search import TavilySearchResults
+from langchain_core.messages import BaseMessage
+from langchain_openai import ChatOpenAI
+from langgraph.graph import END, StateGraph, add_messages
+from langgraph.prebuilt import ToolNode
+
+tools = [TavilySearchResults(max_results=1)]
+
+model_oai = ChatOpenAI(temperature=0)
+
+model_oai = model_oai.bind_tools(tools)
+
+
+class AgentState(TypedDict):
+    messages: Annotated[Sequence[BaseMessage], add_messages]
+
+
+# Define the function that determines whether to continue or not
+def should_continue(state):
+    messages = state["messages"]
+    last_message = messages[-1]
+    # If there are no tool calls, then we finish
+    if not last_message.tool_calls:
+        return "end"
+    # Otherwise if there is, we continue
+    else:
+        return "continue"
+
+
+# Define the function that calls the model
+def call_model(state, config):
+    model = model_oai
+    messages = state["messages"]
+    response = model.invoke(messages)
+    # We return a list, because this will get added to the existing list
+    return {"messages": [response]}
+
+
+# Define the function to execute tools
+tool_node = ToolNode(tools)
+
+
+class ContextSchema(TypedDict):
+    model: Literal["anthropic", "openai"]
+
+
+# Define a new graph
+workflow = StateGraph(AgentState, context_schema=ContextSchema)
+
+# Define the two nodes we will cycle between
+workflow.add_node("agent", call_model)
+workflow.add_node("action", tool_node)
+
+# Set the entrypoint as `agent`
+# This means that this node is the first one called
+workflow.set_entry_point("agent")
+
+# We now add a conditional edge
+workflow.add_conditional_edges(
+    # First, we define the start node. We use `agent`.
+    # This means these are the edges taken after the `agent` node is called.
+    "agent",
+    # Next, we pass in the function that will determine which node is called next.
+    should_continue,
+    # Finally we pass in a mapping.
+    # The keys are strings, and the values are other nodes.
+    # END is a special node marking that the graph should finish.
+    # What will happen is we will call `should_continue`, and then the output of that
+    # will be matched against the keys in this mapping.
+    # Based on which one it matches, that node will then be called.
+    {
+        # If `tools`, then we call the tool node.
+        "continue": "action",
+        # Otherwise we finish.
+        "end": END,
+    },
+)
+
+# We now add a normal edge from `tools` to `agent`.
+# This means that after `tools` is called, `agent` node is called next.
+workflow.add_edge("action", "agent")
+
+# Finally, we compile it!
+# This compiles it into a LangChain Runnable,
+# meaning you can use it as you would any other runnable
+graph = workflow.compile()

libs/cli/examples/graph_prerelease_reqs_fail/langgraph.json

@@ -0,0 +1,11 @@
+{
+    "python_version": "3.12",
+    "dependencies": [
+      "."
+    ],
+    "graphs": {
+      "agent": "./agent.py:graph"
+    },
+    "env": "../.env"
+  }
+  

libs/cli/examples/graph_prerelease_reqs_fail/pyproject.toml

@@ -0,0 +1,11 @@
+[project]
+name = "graph-prerelease-reqs"
+version = "0.1.0"
+description = "Test for prerelease stuff"
+readme = "README.md"
+requires-python = ">=3.10"
+dependencies = [
+  "langchain-openai==1.0.0a2",
+  "langgraph==1.0.0a2",
+  "langchain_community>=0.3.0",
+]

libs/cli/langgraph_cli/config.py

@@ -18,6 +18,7 @@ DEFAULT_IMAGE_DISTRO = "debian"
 
 
 Distros = Literal["debian", "wolfi", "bullseye", "bookworm"]
+MiddlewareOrders = Literal["auth_first", "middleware_first"]
 
 
 class TTLConfig(TypedDict, total=False):
@@ -359,6 +360,17 @@ class HttpConfig(TypedDict, total=False):
     agent's behavior or permissions on a request's headers."""
     logging_headers: Optional[ConfigurableHeaderConfig]
     """Optional. Defines which headers are excluded from logging."""
+    middleware_order: Optional[MiddlewareOrders]
+    """Optional. Defines the order in which to apply server customizations.
+
+    Choices:
+      - "auth_first": Authentication hooks (custom or default) are evaluated
+      before custom middleware.
+      - "middleware_first": Custom middleware is evaluated
+      before authentication hooks (custom or default).
+
+    Default is `middleware_first`.
+    """
 
 
 class Config(TypedDict, total=False):
@@ -1256,16 +1268,22 @@ def python_config_to_docker(
         else:
             pip_installer = "pip"
     if pip_installer == "uv":
-        install_cmd = "uv pip install --system --prerelease=allow"
+        install_cmd = "uv pip install --system"
     elif pip_installer == "pip":
         install_cmd = "pip install"
     else:
         raise ValueError(f"Invalid pip_installer: {pip_installer}")
 
     # configure pip
-    pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
+    local_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
+    global_reqs_pip_install = f"PYTHONDONTWRITEBYTECODE=1 {install_cmd} --no-cache-dir -c /api/constraints.txt"
     if config.get("pip_config_file"):
-        pip_install = f"PIP_CONFIG_FILE=/pipconfig.txt {pip_install}"
+        local_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {local_reqs_pip_install}"
+        )
+        global_reqs_pip_install = (
+            f"PIP_CONFIG_FILE=/pipconfig.txt {global_reqs_pip_install}"
+        )
     pip_config_file_str = (
         f"ADD {config['pip_config_file']} /pipconfig.txt"
         if config.get("pip_config_file")
@@ -1282,7 +1300,9 @@ def python_config_to_docker(
     # Rewrite HTTP app path, so it points to the correct location in the Docker container
     _update_http_app_path(config_path, config, local_deps)
 
-    pip_pkgs_str = f"RUN {pip_install} {' '.join(pypi_deps)}" if pypi_deps else ""
+    pip_pkgs_str = (
+        f"RUN {local_reqs_pip_install} {' '.join(pypi_deps)}" if pypi_deps else ""
+    )
     if local_deps.pip_reqs:
         pip_reqs_str = os.linesep.join(
             (
@@ -1292,7 +1312,7 @@ 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 {local_reqs_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 --"""
@@ -1402,7 +1422,13 @@ ADD {relpath} /deps/{name}
         installs,
         "",
         "# -- Installing all local dependencies --",
-        f"RUN {pip_install} -e /deps/*",
+        f"""RUN for dep in /deps/*; do \
+            echo "Installing $dep"; \
+            if [ -d "$dep" ]; then \
+                echo "Installing $dep"; \
+                (cd "$dep" && {global_reqs_pip_install} .); \
+            fi; \
+        done""",
         "# -- End of local dependencies install --",
         os.linesep.join(env_vars),
         "",

libs/cli/schemas/schema.json

@@ -587,6 +587,20 @@
             }
           ],
           "description": "Optional. Defines which headers are excluded from logging."
+        },
+        "middleware_order": {
+          "anyOf": [
+            {
+              "enum": [
+                "auth_first",
+                "middleware_first"
+              ]
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. Defines the order in which to apply server customizations.\n"
         }
       },
       "required": []

libs/cli/schemas/schema.v0.json

@@ -587,6 +587,20 @@
             }
           ],
           "description": "Optional. Defines which headers are excluded from logging."
+        },
+        "middleware_order": {
+          "anyOf": [
+            {
+              "enum": [
+                "auth_first",
+                "middleware_first"
+              ]
+            },
+            {
+              "type": "null"
+            }
+          ],
+          "description": "Optional. Defines the order in which to apply server customizations.\n"
         }
       },
       "required": []

libs/cli/tests/unit_tests/cli/test_cli.py

@@ -15,7 +15,7 @@ from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Versi
 from langgraph_cli.util import clean_empty_lines
 
 FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
-    install_cmd="uv pip install --system --prerelease=allow",
+    install_cmd="uv pip install --system",
     to_uninstall=("pip", "setuptools", "wheel"),
     pip_installer="uv",
 )
@@ -149,7 +149,7 @@ services:
                 COPY --from=cli_1 . /deps/cli_1
                 # -- End of local package ../../.. --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}

libs/cli/tests/unit_tests/test_config.py

@@ -20,7 +20,7 @@ from langgraph_cli.config import (
 from langgraph_cli.util import clean_empty_lines
 
 FORMATTED_CLEANUP_LINES = _get_pip_cleanup_lines(
-    install_cmd="uv pip install --system --prerelease=allow",
+    install_cmd="uv pip install --system",
     to_uninstall=("pip", "setuptools", "wheel"),
     pip_installer="uv",
 )
@@ -422,7 +422,7 @@ def test_config_to_docker_simple():
 FROM langchain/langgraph-api:3.11
 # -- Installing local requirements --
 COPY --from=outer-requirements.txt requirements.txt /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
+RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -r /deps/outer-graphs_reqs_a/graphs_reqs_a/requirements.txt
 # -- End of local requirements install --
 # -- Adding local package ../../examples --
 COPY --from=examples . /deps/examples
@@ -456,7 +456,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency graphs_reqs_a --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}'
 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
@@ -512,7 +512,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
 """
@@ -559,7 +559,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
 """
@@ -621,7 +621,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}\
@@ -657,7 +657,7 @@ dependencies = ["langchain"]"""
 ADD . /deps/unit_tests
 # -- End of local package . --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{"agent": "/deps/unit_tests/graphs/agent.py:graph"}'
 """
@@ -689,7 +689,7 @@ def test_config_to_docker_end_to_end():
 ARG meow
 ARG foo
 ADD pipconfig.txt /pipconfig.txt
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt langchain langchain_openai
+RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt langchain langchain_openai
 # -- Adding non-package dependency graphs --
 ADD ./graphs/ /deps/outer-graphs/src
 RUN set -ex && \\
@@ -705,7 +705,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency graphs --
 # -- Installing all local dependencies --
-RUN PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
 {FORMATTED_CLEANUP_LINES}"""
@@ -811,7 +811,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}'
 ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}'
@@ -857,7 +857,7 @@ RUN set -ex && \\
     done
 # -- End of non-package dependency unit_tests --
 # -- Installing all local dependencies --
-RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
 # -- End of local dependencies install --
 ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
 # -- Installing JS dependencies --
@@ -887,7 +887,7 @@ def test_config_to_docker_pip_installer():
     docker_auto, _ = config_to_docker(
         PATH_TO_CONFIG, config_auto, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system --prerelease=allow" in docker_auto
+    assert "uv pip install --system " in docker_auto
     assert "rm /usr/bin/uv /usr/bin/uvx" in docker_auto
 
     # Test explicit pip setting
@@ -895,7 +895,7 @@ def test_config_to_docker_pip_installer():
     docker_pip, _ = config_to_docker(
         PATH_TO_CONFIG, config_pip, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system --prerelease=allow" not in docker_pip
+    assert "uv pip install --system " not in docker_pip
     assert "pip install" in docker_pip
     assert "rm /usr/bin/uv" not in docker_pip
 
@@ -904,7 +904,7 @@ def test_config_to_docker_pip_installer():
     docker_uv, _ = config_to_docker(
         PATH_TO_CONFIG, config_uv, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system --prerelease=allow" in docker_uv
+    assert "uv pip install --system " in docker_uv
     assert "rm /usr/bin/uv /usr/bin/uvx" in docker_uv
 
     # Test auto behavior with older image (should use pip)
@@ -914,7 +914,7 @@ def test_config_to_docker_pip_installer():
     docker_auto_old, _ = config_to_docker(
         PATH_TO_CONFIG, config_auto_old, "langchain/langgraph-api:0.2.46"
     )
-    assert "uv pip install --system --prerelease=allow" not in docker_auto_old
+    assert "uv pip install --system " not in docker_auto_old
     assert "pip install" in docker_auto_old
     assert "rm /usr/bin/uv" not in docker_auto_old
 
@@ -923,7 +923,7 @@ def test_config_to_docker_pip_installer():
     docker_default, _ = config_to_docker(
         PATH_TO_CONFIG, config_default, "langchain/langgraph-api:0.2.47"
     )
-    assert "uv pip install --system --prerelease=allow" in docker_default
+    assert "uv pip install --system " in docker_default
 
 
 def test_config_retain_build_tools():
@@ -998,7 +998,7 @@ def test_config_to_compose_simple_config():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1039,7 +1039,7 @@ def test_config_to_compose_env_vars():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1084,7 +1084,7 @@ def test_config_to_compose_env_file():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1122,7 +1122,7 @@ def test_config_to_compose_watch():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}
@@ -1169,7 +1169,7 @@ def test_config_to_compose_end_to_end():
                     done
                 # -- End of non-package dependency unit_tests --
                 # -- Installing all local dependencies --
-                RUN PYTHONDONTWRITEBYTECODE=1 uv pip install --system --prerelease=allow --no-cache-dir -c /api/constraints.txt -e /deps/*
+                RUN for dep in /deps/*; do             echo "Installing $dep";             if [ -d "$dep" ]; then                 echo "Installing $dep";                 (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .);             fi;         done
                 # -- End of local dependencies install --
                 ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
 {textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), "                ")}

libs/cli/tests/unit_tests/test_util.py

@@ -0,0 +1,188 @@
+from unittest.mock import patch
+
+from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
+
+
+def test_clean_empty_lines():
+    """Test clean_empty_lines function."""
+    # Test with empty lines
+    input_str = "line1\n\nline2\n\nline3"
+    result = clean_empty_lines(input_str)
+    assert result == "line1\nline2\nline3"
+
+    # Test with no empty lines
+    input_str = "line1\nline2\nline3"
+    result = clean_empty_lines(input_str)
+    assert result == "line1\nline2\nline3"
+
+    # Test with only empty lines
+    input_str = "\n\n\n"
+    result = clean_empty_lines(input_str)
+    assert result == ""
+
+    # Test empty string
+    input_str = ""
+    result = clean_empty_lines(input_str)
+    assert result == ""
+
+
+def test_warn_non_wolfi_distro_with_debian(capsys):
+    """Test that warning is shown when image_distro is 'debian'."""
+    config = {"image_distro": "debian"}
+
+    warn_non_wolfi_distro(config)
+
+    captured = capsys.readouterr()
+    assert (
+        "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security."
+        in captured.out
+    )
+    assert (
+        "Wolfi is a security-oriented, minimal Linux distribution designed for containers."
+        in captured.out
+    )
+    assert (
+        'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.'
+        in captured.out
+    )
+
+
+def test_warn_non_wolfi_distro_with_default_debian(capsys):
+    """Test that warning is shown when image_distro is missing (defaults to debian)."""
+    config = {}  # No image_distro key, should default to debian
+
+    warn_non_wolfi_distro(config)
+
+    captured = capsys.readouterr()
+    assert (
+        "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security."
+        in captured.out
+    )
+    assert (
+        "Wolfi is a security-oriented, minimal Linux distribution designed for containers."
+        in captured.out
+    )
+    assert (
+        'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.'
+        in captured.out
+    )
+
+
+def test_warn_non_wolfi_distro_with_wolfi(capsys):
+    """Test that no warning is shown when image_distro is 'wolfi'."""
+    config = {"image_distro": "wolfi"}
+
+    warn_non_wolfi_distro(config)
+
+    captured = capsys.readouterr()
+    assert captured.out == ""  # No output should be generated
+
+
+def test_warn_non_wolfi_distro_with_other_distro(capsys):
+    """Test that warning is shown when image_distro is something other than 'wolfi'."""
+    config = {"image_distro": "ubuntu"}
+
+    warn_non_wolfi_distro(config)
+
+    captured = capsys.readouterr()
+    assert (
+        "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security."
+        in captured.out
+    )
+    assert (
+        "Wolfi is a security-oriented, minimal Linux distribution designed for containers."
+        in captured.out
+    )
+    assert (
+        'To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.'
+        in captured.out
+    )
+
+
+def test_warn_non_wolfi_distro_output_formatting():
+    """Test that the warning output is properly formatted with colors and empty line."""
+    config = {"image_distro": "debian"}
+
+    with patch("click.secho") as mock_secho:
+        warn_non_wolfi_distro(config)
+
+    # Verify click.secho was called with the correct parameters
+    expected_calls = [
+        (
+            (
+                "⚠️  Security Recommendation: Consider switching to Wolfi Linux for enhanced security.",
+            ),
+            {"fg": "yellow", "bold": True},
+        ),
+        (
+            (
+                "   Wolfi is a security-oriented, minimal Linux distribution designed for containers.",
+            ),
+            {"fg": "yellow"},
+        ),
+        (
+            (
+                '   To switch, add \'"image_distro": "wolfi"\' to your langgraph.json config file.',
+            ),
+            {"fg": "yellow"},
+        ),
+        (
+            ("",),  # Empty line
+            {},
+        ),
+    ]
+
+    assert mock_secho.call_count == 4
+    for i, (expected_args, expected_kwargs) in enumerate(expected_calls):
+        actual_call = mock_secho.call_args_list[i]
+        assert actual_call.args == expected_args
+        assert actual_call.kwargs == expected_kwargs
+
+
+def test_warn_non_wolfi_distro_various_configs(capsys):
+    """Test warn_non_wolfi_distro with various config scenarios."""
+    test_cases = [
+        # (config, should_warn, description)
+        ({"image_distro": "debian"}, True, "explicit debian"),
+        ({"image_distro": "wolfi"}, False, "explicit wolfi"),
+        ({}, True, "missing image_distro (defaults to debian)"),
+        ({"image_distro": "alpine"}, True, "other distro"),
+        ({"image_distro": "ubuntu"}, True, "ubuntu distro"),
+        ({"other_config": "value"}, True, "unrelated config keys"),
+    ]
+
+    for config, should_warn, description in test_cases:
+        # Clear any previous output
+        capsys.readouterr()
+
+        warn_non_wolfi_distro(config)
+
+        captured = capsys.readouterr()
+        if should_warn:
+            assert "⚠️  Security Recommendation" in captured.out, (
+                f"Should warn for {description}"
+            )
+            assert "Wolfi" in captured.out, f"Should mention Wolfi for {description}"
+        else:
+            assert captured.out == "", f"Should not warn for {description}"
+
+
+def test_warn_non_wolfi_distro_return_value():
+    """Test that warn_non_wolfi_distro returns None."""
+    config = {"image_distro": "debian"}
+    result = warn_non_wolfi_distro(config)
+    assert result is None
+
+    config = {"image_distro": "wolfi"}
+    result = warn_non_wolfi_distro(config)
+    assert result is None
+
+
+def test_warn_non_wolfi_distro_does_not_modify_config():
+    """Test that warn_non_wolfi_distro does not modify the input config."""
+    original_config = {"image_distro": "debian", "other_key": "value"}
+    config_copy = original_config.copy()
+
+    warn_non_wolfi_distro(config_copy)
+
+    assert config_copy == original_config  # Config should remain unchanged

libs/cli/uv.lock

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+version = "8.3.0"
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+version = "0.4.22"
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@@ -560,7 +560,7 @@ name = "langgraph-cli"
 source = { editable = "." }
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-    { name = "click", version = "8.2.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
+    { name = "click", version = "8.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
     { name = "langgraph-sdk", marker = "python_full_version >= '3.11'" },
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libs/langgraph/langgraph/config.py

@@ -66,14 +66,17 @@ def get_store() -> BaseStore:
         store = InMemoryStore()
         store.put(("values",), "foo", {"bar": 2})
 
+
         class State(TypedDict):
             foo: int
 
+
         def my_node(state: State):
             my_store = get_store()
             stored_value = my_store.get(("values",), "foo").value["bar"]
             return {"foo": stored_value + 1}
 
+
         graph = (
             StateGraph(State)
             .add_node(my_node)
@@ -85,7 +88,7 @@ def get_store() -> BaseStore:
         ```
 
         ```pycon
-        {'foo': 3}
+        {"foo": 3}
         ```
 
     Example: Using with functional API
@@ -97,16 +100,19 @@ def get_store() -> BaseStore:
         store = InMemoryStore()
         store.put(("values",), "foo", {"bar": 2})
 
+
         @task
         def my_task(value: int):
             my_store = get_store()
             stored_value = my_store.get(("values",), "foo").value["bar"]
             return stored_value + 1
 
+
         @entrypoint(store=store)
         def workflow(value: int):
             return my_task(value).result()
 
+
         workflow.invoke(1)
         ```
 
@@ -134,14 +140,17 @@ def get_stream_writer() -> StreamWriter:
         from langgraph.graph import StateGraph, START
         from langgraph.config import get_stream_writer
 
+
         class State(TypedDict):
             foo: int
 
+
         def my_node(state: State):
             my_stream_writer = get_stream_writer()
             my_stream_writer({"custom_data": "Hello!"})
             return {"foo": state["foo"] + 1}
 
+
         graph = (
             StateGraph(State)
             .add_node(my_node)
@@ -154,7 +163,7 @@ def get_stream_writer() -> StreamWriter:
         ```
 
         ```pycon
-        {'custom_data': 'Hello!'}
+        {"custom_data": "Hello!"}
         ```
 
     Example: Using with functional API
@@ -162,22 +171,25 @@ def get_stream_writer() -> StreamWriter:
         from langgraph.func import entrypoint, task
         from langgraph.config import get_stream_writer
 
+
         @task
         def my_task(value: int):
             my_stream_writer = get_stream_writer()
             my_stream_writer({"custom_data": "Hello!"})
             return value + 1
 
+
         @entrypoint(store=store)
         def workflow(value: int):
             return my_task(value).result()
 
+
         for chunk in workflow.stream(1, stream_mode="custom"):
             print(chunk)
         ```
 
         ```pycon
-        {'custom_data': 'Hello!'}
+        {"custom_data": "Hello!"}
         ```
     """
     runtime = get_config()[CONF][CONFIG_KEY_RUNTIME]

libs/langgraph/langgraph/func/__init__.py

@@ -150,16 +150,19 @@ def task(
         ```python
         from langgraph.func import entrypoint, task
 
+
         @task
         def add_one(a: int) -> int:
             return a + 1
 
+
         @entrypoint()
         def add_one(numbers: list[int]) -> list[int]:
             futures = [add_one(n) for n in numbers]
             results = [f.result() for f in futures]
             return results
 
+
         # Call the entrypoint
         add_one.invoke([1, 2, 3])  # Returns [2, 3, 4]
         ```
@@ -169,15 +172,18 @@ def task(
         import asyncio
         from langgraph.func import entrypoint, task
 
+
         @task
         async def add_one(a: int) -> int:
             return a + 1
 
+
         @entrypoint()
         async def add_one(numbers: list[int]) -> list[int]:
             futures = [add_one(n) for n in numbers]
             return asyncio.gather(*futures)
 
+
         # Call the entrypoint
         await add_one.ainvoke([1, 2, 3])  # Returns [2, 3, 4]
         ```
@@ -342,15 +348,13 @@ class entrypoint(Generic[ContextT]):
 
         from langgraph.func import entrypoint
 
+
         @entrypoint(checkpointer=InMemorySaver())
         def my_workflow(input_data: str, previous: Optional[str] = None) -> str:
             return "world"
 
-        config = {
-            "configurable": {
-                "thread_id": "some_thread"
-            }
-        }
+
+        config = {"configurable": {"thread_id": "some_thread"}}
         my_workflow.invoke("hello", config)
         ```
 
@@ -367,19 +371,21 @@ class entrypoint(Generic[ContextT]):
 
         from langgraph.func import entrypoint
 
+
         @entrypoint(checkpointer=InMemorySaver())
-        def my_workflow(number: int, *, previous: Any = None) -> entrypoint.final[int, int]:
+        def my_workflow(
+            number: int,
+            *,
+            previous: Any = None,
+        ) -> entrypoint.final[int, int]:
             previous = previous or 0
             # This will return the previous value to the caller, saving
             # 2 * number to the checkpoint, which will be used in the next invocation
             # for the `previous` parameter.
             return entrypoint.final(value=previous, save=2 * number)
 
-        config = {
-            "configurable": {
-                "thread_id": "some_thread"
-            }
-        }
+
+        config = {"configurable": {"thread_id": "some_thread"}}
 
         my_workflow.invoke(3, config)  # 0 (previous was None)
         my_workflow.invoke(1, config)  # 6 (previous was 3 * 2 from the previous invocation)
@@ -434,19 +440,21 @@ class entrypoint(Generic[ContextT]):
             from langgraph.checkpoint.memory import InMemorySaver
             from langgraph.func import entrypoint
 
+
             @entrypoint(checkpointer=InMemorySaver())
-            def my_workflow(number: int, *, previous: Any = None) -> entrypoint.final[int, int]:
+            def my_workflow(
+                number: int,
+                *,
+                previous: Any = None,
+            ) -> entrypoint.final[int, int]:
                 previous = previous or 0
                 # This will return the previous value to the caller, saving
                 # 2 * number to the checkpoint, which will be used in the next invocation
                 # for the `previous` parameter.
                 return entrypoint.final(value=previous, save=2 * number)
 
-            config = {
-                "configurable": {
-                    "thread_id": "1"
-                }
-            }
+
+            config = {"configurable": {"thread_id": "1"}}
 
             my_workflow.invoke(3, config)  # 0 (previous was None)
             my_workflow.invoke(1, config)  # 6 (previous was 3 * 2 from the previous invocation)

libs/langgraph/langgraph/graph/message.py

@@ -92,6 +92,7 @@ def add_messages(
     Example:
         ```python title="Basic usage"
         from langchain_core.messages import AIMessage, HumanMessage
+
         msgs1 = [HumanMessage(content="Hello", id="1")]
         msgs2 = [AIMessage(content="Hi there!", id="2")]
         add_messages(msgs1, msgs2)
@@ -110,9 +111,11 @@ def add_messages(
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph
 
+
         class State(TypedDict):
             messages: Annotated[list, add_messages]
 
+
         builder = StateGraph(State)
         builder.add_node("chatbot", lambda state: {"messages": [("assistant", "Hello")]})
         builder.set_entry_point("chatbot")
@@ -127,30 +130,35 @@ def add_messages(
         from typing_extensions import TypedDict
         from langgraph.graph import StateGraph, add_messages
 
+
         class State(TypedDict):
-            messages: Annotated[list, add_messages(format='langchain-openai')]
+            messages: Annotated[list, add_messages(format="langchain-openai")]
+
 
         def chatbot_node(state: State) -> list:
-            return {"messages": [
-                {
-                    "role": "user",
-                    "content": [
-                        {
-                            "type": "text",
-                            "text": "Here's an image:",
-                            "cache_control": {"type": "ephemeral"},
-                        },
-                        {
-                            "type": "image",
-                            "source": {
-                                "type": "base64",
-                                "media_type": "image/jpeg",
-                                "data": "1234",
+            return {
+                "messages": [
+                    {
+                        "role": "user",
+                        "content": [
+                            {
+                                "type": "text",
+                                "text": "Here's an image:",
+                                "cache_control": {"type": "ephemeral"},
                             },
-                        },
-                    ]
-                },
-            ]}
+                            {
+                                "type": "image",
+                                "source": {
+                                    "type": "base64",
+                                    "media_type": "image/jpeg",
+                                    "data": "1234",
+                                },
+                            },
+                        ],
+                    },
+                ]
+            }
+
 
         builder = StateGraph(State)
         builder.add_node("chatbot", chatbot_node)

libs/langgraph/langgraph/graph/state.py

@@ -141,25 +141,31 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
         from langgraph.graph import StateGraph
         from langgraph.runtime import Runtime
 
+
         def reducer(a: list, b: int | None) -> list:
             if b is not None:
                 return a + [b]
             return a
 
+
         class State(TypedDict):
             x: Annotated[list, reducer]
 
+
         class Context(TypedDict):
             r: float
 
+
         graph = StateGraph(state_schema=State, context_schema=Context)
 
+
         def node(state: State, runtime: Runtime[Context]) -> dict:
             r = runtime.context.get("r", 1.0)
             x = state["x"][-1]
             next_value = x * r * (1 - x)
             return {"x": next_value}
 
+
         graph.add_node("A", node)
         graph.set_entry_point("A")
         graph.set_finish_point("A")
@@ -385,12 +391,15 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
             from langchain_core.runnables import RunnableConfig
             from langgraph.graph import START, StateGraph
 
+
             class State(TypedDict):
                 x: int
 
+
             def my_node(state: State, config: RunnableConfig) -> State:
                 return {"x": state["x"] + 1}
 
+
             builder = StateGraph(State)
             builder.add_node(my_node)  # node name will be 'my_node'
             builder.add_edge(START, "my_node")

libs/langgraph/langgraph/graph/ui.py

@@ -188,7 +188,7 @@ def ui_message_reducer(
 
         messages = ui_message_reducer(
             [{"type": "ui", "id": "1", "name": "Chat", "props": {}}],
-            {"type": "remove-ui", "id": "1"}
+            {"type": "remove-ui", "id": "1"},
         )
 
     """

libs/langgraph/langgraph/pregel/_draw.py

@@ -2,7 +2,7 @@ from __future__ import annotations
 
 from collections import defaultdict
 from collections.abc import Mapping, Sequence
-from typing import Any, cast
+from typing import Any, NamedTuple, cast
 
 from langchain_core.runnables.config import RunnableConfig
 from langchain_core.runnables.graph import Graph, Node
@@ -10,6 +10,7 @@ from langgraph.checkpoint.base import BaseCheckpointSaver
 
 from langgraph._internal._constants import CONF, CONFIG_KEY_SEND, INPUT
 from langgraph.channels.base import BaseChannel
+from langgraph.channels.last_value import LastValueAfterFinish
 from langgraph.constants import END, START
 from langgraph.managed.base import ManagedValueSpec
 from langgraph.pregel._algo import (
@@ -25,6 +26,19 @@ from langgraph.pregel._write import ChannelWrite
 from langgraph.types import All, Checkpointer
 
 
+class Edge(NamedTuple):
+    source: str
+    target: str
+    conditional: bool
+    data: str | None
+
+
+class TriggerEdge(NamedTuple):
+    source: str
+    conditional: bool
+    data: str | None
+
+
 def draw_graph(
     config: RunnableConfig,
     *,
@@ -49,7 +63,7 @@ def draw_graph(
         The graph for this Pregel instance.
     """
     # (src, dest, is_conditional, label)
-    edges: set[tuple[str, str, bool, str | None]] = set()
+    edges: set[Edge] = set()
 
     step = -1
     checkpoint = empty_checkpoint()
@@ -63,8 +77,9 @@ def draw_graph(
         checkpoint,
     )
     static_seen: set[Any] = set()
-    sources: dict[str, set[tuple[str, bool, str | None]]] = {}
-    step_sources: dict[str, set[tuple[str, bool, str | None]]] = {}
+    sources: dict[str, set[TriggerEdge]] = {}
+    step_sources: dict[str, set[TriggerEdge]] = {}
+    static_declared_writes: dict[str, set[TriggerEdge]] = defaultdict(set)
     # remove node mappers
     nodes = {
         k: v.copy(update={"mapper": None}) if v.mapper is not None else v
@@ -123,32 +138,36 @@ def draw_graph(
                         # END writes are not written, but become edges directly
                         for t in writes:
                             if t[0] == END:
-                                edges.add((task.name, t[0], True, t[2]))
+                                edges.add(Edge(task.name, t[0], True, t[2]))
                         writes = [t for t in writes if t[0] != END]
                         conditionals.update(
                             {(task.name, t[0], t[1] or None): t[2] for t in writes}
                         )
+                        # record static writes for edge creation
+                        for t in writes:
+                            static_declared_writes[task.name].add(
+                                TriggerEdge(t[0], True, t[2])
+                            )
                         task.config[CONF][CONFIG_KEY_SEND]([t[:2] for t in writes])
         # collect sources
-        step_sources = {
-            task.name: {
-                (
+        step_sources = {}
+        for task in tasks.values():
+            task_edges = {
+                TriggerEdge(
                     w[0],
                     (task.name, w[0], w[1] or None) in conditionals,
                     conditionals.get((task.name, w[0], w[1] or None)),
                 )
                 for w in task.writes
             }
-            for task in tasks.values()
-        }
+            task_edges |= static_declared_writes.get(task.name, set())
+            step_sources[task.name] = task_edges
         sources.update(step_sources)
         # invert triggers
-        trigger_to_sources: dict[str, set[tuple[str, bool, str | None]]] = defaultdict(
-            set
-        )
+        trigger_to_sources: dict[str, set[TriggerEdge]] = defaultdict(set)
         for src, triggers in sources.items():
             for trigger, cond, label in triggers:
-                trigger_to_sources[trigger].add((src, cond, label))
+                trigger_to_sources[trigger].add(TriggerEdge(src, cond, label))
         # apply writes
         updated_channels = apply_writes(
             checkpoint, channels, tasks.values(), get_next_version, trigger_to_nodes
@@ -170,26 +189,39 @@ def draw_graph(
             trigger_to_nodes=trigger_to_nodes,
             updated_channels=updated_channels,
         )
+        # collect deferred nodes
+        deferred_nodes: set[str] = set()
+        edges_to_deferred_nodes: set[Edge] = set()
+        for channel, item in channels.items():
+            if isinstance(item, LastValueAfterFinish):
+                deferred_node = channel.split(":", 2)[-1]
+                deferred_nodes.add(deferred_node)
         # collect edges
         for task in tasks.values():
             added = False
             for trigger in task.triggers:
                 for src, cond, label in sorted(trigger_to_sources[trigger]):
-                    edges.add((src, task.name, cond, label))
+                    # record edge to be reviewed later
+                    if task.name in deferred_nodes:
+                        edges_to_deferred_nodes.add(Edge(src, task.name, cond, label))
+                    edges.add(Edge(src, task.name, cond, label))
                     # if the edge is from this step, skip adding the implicit edges
                     if (trigger, cond, label) in step_sources.get(src, set()):
                         added = True
                     else:
-                        sources[src].discard((trigger, cond, label))
+                        sources[src].discard(TriggerEdge(trigger, cond, label))
             # if no edges from this step, add implicit edges from all previous tasks
             if not added:
                 for src in step_sources:
-                    edges.add((src, task.name, True, None))
+                    edges.add(Edge(src, task.name, True, None))
+
     # assemble the graph
     graph = Graph()
     # add nodes
     for name, node in nodes.items():
         metadata = dict(node.metadata or {})
+        if name in deferred_nodes:
+            metadata["defer"] = True
         if name in interrupt_before_nodes and name in interrupt_after_nodes:
             metadata["__interrupt"] = "before,after"
         elif name in interrupt_before_nodes:

libs/langgraph/langgraph/pregel/_loop.py

@@ -242,7 +242,9 @@ class PregelLoop:
         self.interrupt_before = interrupt_before
         self.manager = manager
         self.is_nested = CONFIG_KEY_TASK_ID in self.config.get(CONF, {})
-        self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
+        self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF] or (
+            CONFIG_KEY_RESUMING in self.config[CONF] and self.is_nested
+        )
         self._migrate_checkpoint = migrate_checkpoint
         self.trigger_to_nodes = trigger_to_nodes
         self.retry_policy = retry_policy

libs/langgraph/langgraph/pregel/main.py

@@ -3,15 +3,24 @@ from __future__ import annotations
 import asyncio
 import concurrent
 import concurrent.futures
+import contextlib
 import queue
 import warnings
 import weakref
 from collections import defaultdict, deque
-from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
+from collections.abc import AsyncIterator, Awaitable, Iterator, Mapping, Sequence
 from dataclasses import is_dataclass
 from functools import partial
 from inspect import isclass
-from typing import Any, Callable, Generic, Optional, Union, cast, get_type_hints
+from typing import (
+    Any,
+    Callable,
+    Generic,
+    Optional,
+    Union,
+    cast,
+    get_type_hints,
+)
 from uuid import UUID, uuid5
 
 from langchain_core.globals import get_debug
@@ -377,7 +386,7 @@ class Pregel(
 
     However, for **advanced** use cases, Pregel can be used directly. If you're
     not sure whether you need to use Pregel directly, then the answer is probably no
-    – you should use the Graph API or Functional API instead. These are higher-level
+    - you should use the Graph API or Functional API instead. These are higher-level
     interfaces that will compile down to Pregel under the hood.
 
     Here are some examples to give you a sense of how it works:
@@ -479,7 +488,7 @@ class Pregel(
         ```
 
         ```pycon
-        {'c': ['foofoo', 'foofoofoofoo']}
+        {"c": ["foofoo", "foofoofoofoo"]}
         ```
 
     Example: Using a BinaryOperatorAggregate channel
@@ -507,6 +516,7 @@ class Pregel(
             else:
                 return update
 
+
         app = Pregel(
             nodes={"node1": node1, "node2": node2},
             channels={
@@ -515,7 +525,7 @@ class Pregel(
                 "c": BinaryOperatorAggregate(str, operator=reducer),
             },
             input_channels=["a"],
-            output_channels=["c"]
+            output_channels=["c"],
         )
 
         app.invoke({"a": "foo"})
@@ -535,7 +545,8 @@ class Pregel(
         from langgraph.pregel import Pregel, NodeBuilder, ChannelWriteEntry
 
         example_node = (
-            NodeBuilder().subscribe_only("value")
+            NodeBuilder()
+            .subscribe_only("value")
             .do(lambda x: x + x if len(x) < 10 else None)
             .write_to(ChannelWriteEntry(channel="value", skip_none=True))
         )
@@ -546,7 +557,7 @@ class Pregel(
                 "value": EphemeralValue(str),
             },
             input_channels=["value"],
-            output_channels=["value"]
+            output_channels=["value"],
         )
 
         app.invoke({"value": "a"})
@@ -2612,6 +2623,7 @@ class Pregel(
                 if subgraphs:
                     loop.config[CONF][CONFIG_KEY_STREAM] = loop.stream
                 # enable concurrent streaming
+                get_waiter: Callable[[], concurrent.futures.Future[None]] | None = None
                 if (
                     self.stream_eager
                     or subgraphs
@@ -2634,8 +2646,6 @@ class Pregel(
                         else:
                             return waiter
 
-                else:
-                    get_waiter = None  # type: ignore[assignment]
                 # Similarly to Bulk Synchronous Parallel / Pregel model
                 # computation proceeds in steps, while there are channel updates.
                 # Channel updates from step N are only visible in step N+1
@@ -2916,45 +2926,77 @@ class Pregel(
                         stream_put, stream_modes
                     )
                 # enable concurrent streaming
+                get_waiter: Callable[[], asyncio.Task[None]] | None = None
+                _cleanup_waiter: Callable[[], Awaitable[None]] | None = None
                 if (
                     self.stream_eager
                     or subgraphs
                     or "messages" in stream_modes
                     or "custom" in stream_modes
                 ):
+                    # Keep a single waiter task alive; ensure cleanup on exit.
+                    waiter: asyncio.Task[None] | None = None
 
                     def get_waiter() -> asyncio.Task[None]:
-                        return aioloop.create_task(stream.wait())
+                        nonlocal waiter
+                        if waiter is None or waiter.done():
+                            waiter = aioloop.create_task(stream.wait())
+
+                            def _clear(t: asyncio.Task[None]) -> None:
+                                nonlocal waiter
+                                if waiter is t:
+                                    waiter = None
+
+                            waiter.add_done_callback(_clear)
+                        return waiter
+
+                    async def _cleanup_waiter() -> None:
+                        """Wake pending waiter and/or cancel+await to avoid pending tasks."""
+                        nonlocal waiter
+                        # Try to wake via semaphore like SyncPregelLoop
+                        with contextlib.suppress(Exception):
+                            if hasattr(stream, "_count"):
+                                stream._count.release()
+                        t = waiter
+                        waiter = None
+                        if t is not None and not t.done():
+                            t.cancel()
+                            with contextlib.suppress(asyncio.CancelledError):
+                                await t
 
-                else:
-                    get_waiter = None  # type: ignore[assignment]
                 # Similarly to Bulk Synchronous Parallel / Pregel model
                 # computation proceeds in steps, while there are channel updates
                 # channel updates from step N are only visible in step N+1
                 # channels are guaranteed to be immutable for the duration of the step,
                 # with channel updates applied only at the transition between steps
-                while loop.tick():
-                    for task in await loop.amatch_cached_writes():
-                        loop.output_writes(task.id, task.writes, cached=True)
-                    async for _ in runner.atick(
-                        [t for t in loop.tasks.values() if not t.writes],
-                        timeout=self.step_timeout,
-                        get_waiter=get_waiter,
-                        schedule_task=loop.aaccept_push,
-                    ):
-                        # emit output
-                        for o in _output(
-                            stream_mode,
-                            print_mode,
-                            subgraphs,
-                            stream.get_nowait,
-                            asyncio.QueueEmpty,
+                try:
+                    while loop.tick():
+                        for task in await loop.amatch_cached_writes():
+                            loop.output_writes(task.id, task.writes, cached=True)
+                        async for _ in runner.atick(
+                            [t for t in loop.tasks.values() if not t.writes],
+                            timeout=self.step_timeout,
+                            get_waiter=get_waiter,
+                            schedule_task=loop.aaccept_push,
                         ):
-                            yield o
-                    loop.after_tick()
-                    # wait for checkpoint
-                    if durability_ == "sync":
-                        await cast(asyncio.Future, loop._put_checkpoint_fut)
+                            # emit output
+                            for o in _output(
+                                stream_mode,
+                                print_mode,
+                                subgraphs,
+                                stream.get_nowait,
+                                asyncio.QueueEmpty,
+                            ):
+                                yield o
+                        loop.after_tick()
+                        # wait for checkpoint
+                        if durability_ == "sync":
+                            await cast(asyncio.Future, loop._put_checkpoint_fut)
+                finally:
+                    # ensure waiter doesn't remain pending on cancel/shutdown
+                    if _cleanup_waiter is not None:
+                        await _cleanup_waiter()
+
             # emit output
             for o in _output(
                 stream_mode,

libs/langgraph/langgraph/types.py

@@ -296,12 +296,10 @@ class Send:
         >>> class OverallState(TypedDict):
         ...     subjects: list[str]
         ...     jokes: Annotated[list[str], operator.add]
-        ...
         >>> from langgraph.types import Send
         >>> from langgraph.graph import END, START
         >>> def continue_to_jokes(state: OverallState):
-        ...     return [Send("generate_joke", {"subject": s}) for s in state['subjects']]
-        ...
+        ...     return [Send("generate_joke", {"subject": s}) for s in state["subjects"]]
         >>> from langgraph.graph import StateGraph
         >>> builder = StateGraph(OverallState)
         >>> builder.add_node("generate_joke", lambda state: {"jokes": [f"Joke about {state['subject']}"]})

libs/langgraph/pyproject.toml

@@ -74,14 +74,6 @@ target-version = "py39"
 [tool.ruff.lint.per-file-ignores]
 "tests/bench/*" = ["UP006", "UP007"]
 
-[tool.ruff.format]
-quote-style = "double"
-indent-style = "space"
-skip-magic-trailing-comma = false
-line-ending = "auto"
-docstring-code-format = false
-docstring-code-line-length = "dynamic"
-
 [tool.ruff.lint.flake8-tidy-imports.banned-api]
 "typing.TypedDict".msg = "Use typing_extensions.TypedDict instead."
 

libs/langgraph/tests/__snapshots__/test_pregel.ambr

@@ -307,6 +307,99 @@
   
   '''
 # ---
+# name: test_get_graph_nonterminal_last_step_source
+  '''
+  {
+    "edges": [
+      {
+        "source": "__start__",
+        "target": "human"
+      },
+      {
+        "conditional": true,
+        "source": "chatbot",
+        "target": "human"
+      },
+      {
+        "conditional": true,
+        "source": "chatbot",
+        "target": "tools"
+      },
+      {
+        "conditional": true,
+        "source": "human",
+        "target": "__end__"
+      },
+      {
+        "conditional": true,
+        "source": "human",
+        "target": "chatbot"
+      },
+      {
+        "source": "tools",
+        "target": "chatbot"
+      }
+    ],
+    "nodes": [
+      {
+        "data": {
+          "id": [
+            "langgraph",
+            "_internal",
+            "_runnable",
+            "RunnableCallable"
+          ],
+          "name": "__start__"
+        },
+        "id": "__start__",
+        "type": "runnable"
+      },
+      {
+        "data": {
+          "id": [
+            "langgraph",
+            "_internal",
+            "_runnable",
+            "RunnableCallable"
+          ],
+          "name": "chatbot"
+        },
+        "id": "chatbot",
+        "type": "runnable"
+      },
+      {
+        "data": {
+          "id": [
+            "langgraph",
+            "_internal",
+            "_runnable",
+            "RunnableCallable"
+          ],
+          "name": "tools"
+        },
+        "id": "tools",
+        "type": "runnable"
+      },
+      {
+        "data": {
+          "id": [
+            "langgraph",
+            "_internal",
+            "_runnable",
+            "RunnableCallable"
+          ],
+          "name": "human"
+        },
+        "id": "human",
+        "type": "runnable"
+      },
+      {
+        "id": "__end__"
+      }
+    ]
+  }
+  '''
+# ---
 # name: test_get_graph_root_channel
   '''
   {
@@ -795,99 +888,6 @@
   
   '''
 # ---
-# name: test_get_graph_nonterminal_last_step_source
-  '''
-  {
-    "edges": [
-      {
-        "source": "__start__",
-        "target": "human"
-      },
-      {
-        "conditional": true,
-        "source": "chatbot",
-        "target": "human"
-      },
-      {
-        "conditional": true,
-        "source": "chatbot",
-        "target": "tools"
-      },
-      {
-        "conditional": true,
-        "source": "human",
-        "target": "__end__"
-      },
-      {
-        "conditional": true,
-        "source": "human",
-        "target": "chatbot"
-      },
-      {
-        "source": "tools",
-        "target": "chatbot"
-      }
-    ],
-    "nodes": [
-      {
-        "data": {
-          "id": [
-            "langgraph",
-            "_internal",
-            "_runnable",
-            "RunnableCallable"
-          ],
-          "name": "__start__"
-        },
-        "id": "__start__",
-        "type": "runnable"
-      },
-      {
-        "data": {
-          "id": [
-            "langgraph",
-            "_internal",
-            "_runnable",
-            "RunnableCallable"
-          ],
-          "name": "chatbot"
-        },
-        "id": "chatbot",
-        "type": "runnable"
-      },
-      {
-        "data": {
-          "id": [
-            "langgraph",
-            "_internal",
-            "_runnable",
-            "RunnableCallable"
-          ],
-          "name": "tools"
-        },
-        "id": "tools",
-        "type": "runnable"
-      },
-      {
-        "data": {
-          "id": [
-            "langgraph",
-            "_internal",
-            "_runnable",
-            "RunnableCallable"
-          ],
-          "name": "human"
-        },
-        "id": "human",
-        "type": "runnable"
-      },
-      {
-        "id": "__end__"
-      }
-    ]
-  }
-  '''
-# ---
 # name: test_repeat_condition
   '''
   graph TD;

libs/langgraph/tests/test_pregel.py

@@ -3445,6 +3445,73 @@ def test_stream_buffering_single_node(sync_checkpointer: BaseCheckpointSaver) ->
     ]
 
 
+def test_nested_graph_resume_reuses_cached_task_writes(
+    sync_checkpointer: BaseCheckpointSaver,
+) -> None:
+    # Reproduces issue where a helper @task inside a nested graph re-executes
+    # on resume instead of reusing cached writes. Ensures it runs only once.
+    counter_parent = 0
+    counter_sub = 0
+
+    @task
+    def get_time_parent() -> float:
+        nonlocal counter_parent
+        counter_parent += 1
+        return time.time()
+
+    @task
+    def get_time_subgraph() -> float:
+        nonlocal counter_sub
+        counter_sub += 1
+        return time.time()
+
+    class State(TypedDict):
+        state_counter: int
+
+    # Subgraph that calls a helper task and then interrupts
+    sub = StateGraph(State)
+
+    def human_node(_: State):
+        _ = get_time_subgraph().result()
+        interrupt("what is your name?")
+
+    sub.add_node("human_node", human_node)
+    sub.set_entry_point("human_node")
+    sub.set_finish_point("human_node")
+    subgraph = sub.compile(checkpointer=sync_checkpointer)
+
+    # Parent graph that calls a helper task and interrupts, then enters subgraph
+    parent = StateGraph(State)
+
+    def parent_node(_: State):
+        _ = get_time_parent().result()
+        interrupt("what is your parent name?")
+
+    parent.add_node("parent_node", parent_node)
+    parent.add_node("subgraph", subgraph)
+    parent.add_edge(START, "parent_node")
+    parent.add_edge("parent_node", "subgraph")
+    parent.add_edge("subgraph", END)
+    graph = parent.compile(checkpointer=sync_checkpointer)
+
+    cfg_parent = {"configurable": {"thread_id": str(uuid.uuid4())}}
+
+    # First run – interrupts in parent node
+    for _ in graph.stream({"state_counter": 1}, cfg_parent):
+        pass
+
+    # Resume 1 – proceeds into subgraph, interrupts there
+    for _ in graph.stream(Command(resume="resume-1"), cfg_parent):
+        pass
+
+    # Resume 2 – completes without re-running subgraph helper task
+    for _ in graph.stream(Command(resume="resume-2"), cfg_parent):
+        pass
+
+    assert counter_parent == 1
+    assert counter_sub == 1
+
+
 def test_nested_graph_interrupts_parallel(
     sync_checkpointer: BaseCheckpointSaver, durability: Durability
 ) -> None:

libs/langgraph/tests/test_pregel_async.py

@@ -41,6 +41,7 @@ from syrupy import SnapshotAssertion
 from typing_extensions import NotRequired, TypedDict
 
 from langgraph._internal._constants import CONFIG_KEY_NODE_FINISHED, ERROR, PULL
+from langgraph._internal._queue import AsyncQueue
 from langgraph.channels.binop import BinaryOperatorAggregate
 from langgraph.channels.last_value import LastValue
 from langgraph.channels.topic import Topic
@@ -9156,3 +9157,57 @@ async def test_null_resume_disallowed_with_multiple_interrupts(
         "text_1": "resume for prompt: original text 1",
         "text_2": "resume for prompt: original text 2",
     }
+
+
+async def test_astream_waiter_cleanup_on_cancel(
+    monkeypatch: pytest.MonkeyPatch,
+) -> None:
+    """Test that AsyncPregelLoop cleans up waiter tasks after cancellation."""
+
+    recorded_tasks: list[asyncio.Task[None]] = []
+    finished_tasks: list[asyncio.Task[None]] = []
+
+    original_wait = AsyncQueue.wait
+
+    async def tracked_wait(self: AsyncQueue) -> None:
+        task = asyncio.current_task()
+        assert task is not None
+        recorded_tasks.append(task)
+        try:
+            await original_wait(self)
+        finally:
+            finished_tasks.append(task)
+
+    monkeypatch.setattr(AsyncQueue, "wait", tracked_wait)
+
+    class State(TypedDict, total=False):
+        count: int
+
+    async def slow_node(state: State) -> State:
+        await asyncio.sleep(0.05)
+        state = dict(state)
+        state["count"] = state.get("count", 0) + 1
+        await asyncio.sleep(0.1)
+        return state
+
+    builder = StateGraph(State)
+    builder.add_node("slow", slow_node)
+    builder.add_edge(START, "slow")
+    builder.add_edge("slow", END)
+    graph = builder.compile()
+
+    async def consumer() -> None:
+        async for _ in graph.astream({"msg": "hi"}, stream_mode="messages"):
+            await asyncio.sleep(0.01)
+
+    task = asyncio.create_task(consumer())
+    await asyncio.sleep(0.05)
+    task.cancel()
+    with pytest.raises(asyncio.CancelledError):
+        await task
+
+    await asyncio.sleep(0.05)
+
+    assert recorded_tasks, "expected stream.wait() task to be created"
+    assert set(finished_tasks) == set(recorded_tasks)
+    assert all(t.done() for t in recorded_tasks)

libs/langgraph/uv.lock

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 [[package]]
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-version = "8.2.1"
+version = "8.3.0"
 source = { registry = "https://pypi.org/simple" }
 resolution-markers = [
     "python_full_version >= '3.14'",
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 ]
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+    { url = "https://files.pythonhosted.org/packages/f5/93/8ebc19f0a31c44ea0e7348f9b0d4b326ed413b6575a3c6ff4ed50222abb6/zstandard-0.25.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89c4b48479a43f820b749df49cd7ba2dbc2b1b78560ecb5ab52985574fd40b27", size = 5362280, upload-time = "2025-09-14T22:18:45.625Z" },
+    { url = "https://files.pythonhosted.org/packages/b8/e9/29cc59d4a9d51b3fd8b477d858d0bd7ab627f700908bf1517f46ddd470ae/zstandard-0.25.0-cp39-cp39-win32.whl", hash = "sha256:1cd5da4d8e8ee0e88be976c294db744773459d51bb32f707a0f166e5ad5c8649", size = 436460, upload-time = "2025-09-14T22:18:49.077Z" },
+    { url = "https://files.pythonhosted.org/packages/41/b5/bc7a92c116e2ef32dc8061c209d71e97ff6df37487d7d39adb51a343ee89/zstandard-0.25.0-cp39-cp39-win_amd64.whl", hash = "sha256:37daddd452c0ffb65da00620afb8e17abd4adaae6ce6310702841760c2c26860", size = 506097, upload-time = "2025-09-14T22:18:47.342Z" },
 ]

libs/sdk-py/langgraph_sdk/__init__.py

@@ -1,6 +1,6 @@
 from langgraph_sdk.auth import Auth
 from langgraph_sdk.client import get_client, get_sync_client
 
-__version__ = "0.2.8"
+__version__ = "0.2.9"
 
 __all__ = ["Auth", "get_client", "get_sync_client"]

libs/sdk-py/langgraph_sdk/auth/__init__.py

@@ -728,7 +728,7 @@ def is_studio_user(
     return (
         isinstance(user, types.StudioUser)
         or isinstance(user, dict)
-        and user.get("kind") == "StudioUser"
+        and user.get("kind") == "StudioUser"  # ty: ignore[invalid-argument-type]
     )
 
 

libs/sdk-py/langgraph_sdk/client.py

@@ -31,6 +31,7 @@ import httpx
 import orjson
 
 import langgraph_sdk
+from langgraph_sdk.errors import _araise_for_status_typed, _raise_for_status_typed
 from langgraph_sdk.schema import (
     All,
     Assistant,
@@ -310,15 +311,7 @@ class HttpClient:
         r = await self.client.get(path, params=params, headers=headers)
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = (await r.aread()).decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        await _araise_for_status_typed(r)
         return await _adecode_json(r)
 
     async def post(
@@ -343,15 +336,7 @@ class HttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = (await r.aread()).decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        await _araise_for_status_typed(r)
         return await _adecode_json(r)
 
     async def put(
@@ -372,15 +357,7 @@ class HttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = (await r.aread()).decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        await _araise_for_status_typed(r)
         return await _adecode_json(r)
 
     async def patch(
@@ -401,15 +378,7 @@ class HttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = (await r.aread()).decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        await _araise_for_status_typed(r)
         return await _adecode_json(r)
 
     async def delete(
@@ -427,15 +396,55 @@ class HttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = (await r.aread()).decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        await _araise_for_status_typed(r)
+
+    async def request_reconnect(
+        self,
+        path: str,
+        method: str,
+        *,
+        json: dict[str, Any] | None = None,
+        params: QueryParamTypes | None = None,
+        headers: Mapping[str, str] | None = None,
+        on_response: Callable[[httpx.Response], None] | None = None,
+        reconnect_limit: int = 5,
+    ) -> Any:
+        """Send a request that automatically reconnects to Location header."""
+        request_headers, content = await _aencode_json(json)
+        if headers:
+            request_headers.update(headers)
+        async with self.client.stream(
+            method, path, headers=request_headers, content=content, params=params
+        ) as r:
+            if on_response:
+                on_response(r)
+            try:
+                r.raise_for_status()
+            except httpx.HTTPStatusError as e:
+                body = (await r.aread()).decode()
+                if sys.version_info >= (3, 11):
+                    e.add_note(body)
+                else:
+                    logger.error(f"Error from langgraph-api: {body}", exc_info=e)
+                raise e
+            loc = r.headers.get("location")
+            if reconnect_limit <= 0 or not loc:
+                return await _adecode_json(r)
+            try:
+                return await _adecode_json(r)
+            except httpx.HTTPError:
+                warnings.warn(
+                    f"Request failed, attempting reconnect to Location: {loc}",
+                    stacklevel=2,
+                )
+                await r.aclose()
+                return await self.request_reconnect(
+                    loc,
+                    "GET",
+                    headers=request_headers,
+                    # don't pass on_response so it's only called once
+                    reconnect_limit=reconnect_limit - 1,
+                )
 
     async def stream(
         self,
@@ -488,15 +497,7 @@ class HttpClient:
                 if reconnect_path is None and on_response:
                     on_response(res)
                 # check status
-                try:
-                    res.raise_for_status()
-                except httpx.HTTPStatusError as e:
-                    body = (await res.aread()).decode()
-                    if sys.version_info >= (3, 11):
-                        e.add_note(body)
-                    else:
-                        logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-                    raise e
+                await _araise_for_status_typed(res)
                 # check content type
                 content_type = res.headers.get("content-type", "").partition(";")[0]
                 if "text/event-stream" not in content_type:
@@ -2533,8 +2534,9 @@ class RunsClient:
             if on_run_created and (metadata := _get_run_metadata_from_response(res)):
                 on_run_created(metadata)
 
-        response = await self.http.post(
+        response = await self.http.request_reconnect(
             endpoint,
+            "POST",
             json={k: v for k, v in payload.items() if v is not None},
             params=params,
             headers=headers,
@@ -2679,12 +2681,20 @@ class RunsClient:
         }
         if params:
             query_params.update(params)
-        return await self.http.post(
-            f"/threads/{thread_id}/runs/{run_id}/cancel",
-            json=None,
-            params=query_params,
-            headers=headers,
-        )
+        if wait:
+            return await self.http.request_reconnect(
+                f"/threads/{thread_id}/runs/{run_id}/cancel",
+                "POST",
+                params=query_params,
+                headers=headers,
+            )
+        else:
+            return await self.http.post(
+                f"/threads/{thread_id}/runs/{run_id}/cancel",
+                json=None,
+                params=query_params,
+                headers=headers,
+            )
 
     async def join(
         self,
@@ -2716,8 +2726,11 @@ class RunsClient:
             ```
 
         """  # noqa: E501
-        return await self.http.get(
-            f"/threads/{thread_id}/runs/{run_id}/join", headers=headers, params=params
+        return await self.http.request_reconnect(
+            f"/threads/{thread_id}/runs/{run_id}/join",
+            "GET",
+            headers=headers,
+            params=params,
         )
 
     def join_stream(
@@ -3562,15 +3575,7 @@ class SyncHttpClient:
         r = self.client.get(path, params=params, headers=headers)
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = r.read().decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        _raise_for_status_typed(r)
         return _decode_json(r)
 
     def post(
@@ -3594,15 +3599,7 @@ class SyncHttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = r.read().decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        _raise_for_status_typed(r)
         return _decode_json(r)
 
     def put(
@@ -3624,15 +3621,7 @@ class SyncHttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = r.read().decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        _raise_for_status_typed(r)
         return _decode_json(r)
 
     def patch(
@@ -3653,15 +3642,7 @@ class SyncHttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = r.read().decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        _raise_for_status_typed(r)
         return _decode_json(r)
 
     def delete(
@@ -3679,15 +3660,55 @@ class SyncHttpClient:
         )
         if on_response:
             on_response(r)
-        try:
-            r.raise_for_status()
-        except httpx.HTTPStatusError as e:
-            body = r.read().decode()
-            if sys.version_info >= (3, 11):
-                e.add_note(body)
-            else:
-                logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-            raise e
+        _raise_for_status_typed(r)
+
+    def request_reconnect(
+        self,
+        path: str,
+        method: str,
+        *,
+        json: dict[str, Any] | None = None,
+        params: QueryParamTypes | None = None,
+        headers: Mapping[str, str] | None = None,
+        on_response: Callable[[httpx.Response], None] | None = None,
+        reconnect_limit: int = 5,
+    ) -> Any:
+        """Send a request that automatically reconnects to Location header."""
+        request_headers, content = _encode_json(json)
+        if headers:
+            request_headers.update(headers)
+        with self.client.stream(
+            method, path, headers=request_headers, content=content, params=params
+        ) as r:
+            if on_response:
+                on_response(r)
+            try:
+                r.raise_for_status()
+            except httpx.HTTPStatusError as e:
+                body = r.read().decode()
+                if sys.version_info >= (3, 11):
+                    e.add_note(body)
+                else:
+                    logger.error(f"Error from langgraph-api: {body}", exc_info=e)
+                raise e
+            loc = r.headers.get("location")
+            if reconnect_limit <= 0 or not loc:
+                return _decode_json(r)
+            try:
+                return _decode_json(r)
+            except httpx.HTTPError:
+                warnings.warn(
+                    f"Request failed, attempting reconnect to Location: {loc}",
+                    stacklevel=2,
+                )
+                r.close()
+                return self.request_reconnect(
+                    loc,
+                    "GET",
+                    headers=request_headers,
+                    # don't pass on_response so it's only called once
+                    reconnect_limit=reconnect_limit - 1,
+                )
 
     def stream(
         self,
@@ -3742,15 +3763,7 @@ class SyncHttpClient:
                 if reconnect_path is None and on_response:
                     on_response(res)
                 # check status
-                try:
-                    res.raise_for_status()
-                except httpx.HTTPStatusError as e:
-                    body = (res.read()).decode()
-                    if sys.version_info >= (3, 11):
-                        e.add_note(body)
-                    else:
-                        logger.error(f"Error from langgraph-api: {body}", exc_info=e)
-                    raise e
+                _raise_for_status_typed(res)
                 # check content type
                 content_type = res.headers.get("content-type", "").partition(";")[0]
                 if "text/event-stream" not in content_type:
@@ -5754,8 +5767,9 @@ class SyncRunsClient:
         endpoint = (
             f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait"
         )
-        return self.http.post(
+        return self.http.request_reconnect(
             endpoint,
+            "POST",
             json={k: v for k, v in payload.items() if v is not None},
             params=params,
             headers=headers,
@@ -5878,11 +5892,25 @@ class SyncRunsClient:
             ```
 
         """  # noqa: E501
+        query_params = {
+            "wait": 1 if wait else 0,
+            "action": action,
+        }
+        if params:
+            query_params.update(params)
+        if wait:
+            return self.http.request_reconnect(
+                f"/threads/{thread_id}/runs/{run_id}/cancel",
+                "POST",
+                json=None,
+                params=query_params,
+                headers=headers,
+            )
         return self.http.post(
-            f"/threads/{thread_id}/runs/{run_id}/cancel?wait={1 if wait else 0}&action={action}",
+            f"/threads/{thread_id}/runs/{run_id}/cancel",
             json=None,
+            params=query_params,
             headers=headers,
-            params=params,
         )
 
     def join(
@@ -5915,8 +5943,11 @@ class SyncRunsClient:
             ```
 
         """  # noqa: E501
-        return self.http.get(
-            f"/threads/{thread_id}/runs/{run_id}/join", headers=headers, params=params
+        return self.http.request_reconnect(
+            f"/threads/{thread_id}/runs/{run_id}/join",
+            "GET",
+            headers=headers,
+            params=params,
         )
 
     def join_stream(

libs/sdk-py/langgraph_sdk/errors.py

@@ -0,0 +1,222 @@
+from __future__ import annotations
+
+import logging
+import sys
+from typing import Any, Literal, cast
+
+import httpx
+import orjson
+
+logger = logging.getLogger(__name__)
+
+
+class LangGraphError(Exception):
+    pass
+
+
+class APIError(httpx.HTTPStatusError, LangGraphError):
+    message: str
+    request: httpx.Request
+
+    body: object | None
+    code: str | None
+    param: str | None
+    type: str | None
+
+    def __init__(
+        self, message: str, response: httpx.Response, *, body: object | None
+    ) -> None:
+        httpx.HTTPStatusError.__init__(
+            self, message, request=response.request, response=response
+        )
+        LangGraphError.__init__(self)
+
+        self.request = response.request
+        self.message = message
+        self.body = body
+
+        if isinstance(body, dict):
+            b = cast(dict[str, Any], body)
+            # Best-effort extraction of common fields if present
+            code_val = b.get("code")
+            self.code = code_val if isinstance(code_val, str) else None
+            param_val = b.get("param")
+            self.param = param_val if isinstance(param_val, str) else None
+            t = b.get("type")
+            self.type = t if isinstance(t, str) else None
+        else:
+            self.code = None
+            self.param = None
+            self.type = None
+
+
+class APIResponseValidationError(APIError):
+    response: httpx.Response
+    status_code: int
+
+    def __init__(
+        self,
+        response: httpx.Response,
+        body: object | None,
+        *,
+        message: str | None = None,
+    ) -> None:
+        super().__init__(
+            message or "Data returned by API invalid for expected schema.",
+            response,
+            body=body,
+        )
+        self.response = response
+        self.status_code = response.status_code
+
+
+class APIStatusError(APIError):
+    response: httpx.Response
+    status_code: int
+    request_id: str | None
+
+    def __init__(
+        self, message: str, *, response: httpx.Response, body: object | None
+    ) -> None:
+        super().__init__(message, response, body=body)
+        self.response = response
+        self.status_code = response.status_code
+        self.request_id = response.headers.get("x-request-id")
+
+
+class APIConnectionError(APIError):
+    def __init__(
+        self, *, message: str = "Connection error.", request: httpx.Request
+    ) -> None:
+        super().__init__(message, request, body=None)
+
+
+class APITimeoutError(APIConnectionError):
+    def __init__(self, request: httpx.Request) -> None:
+        super().__init__(message="Request timed out.", request=request)
+
+
+class BadRequestError(APIStatusError):
+    status_code: Literal[400] = 400
+
+
+class AuthenticationError(APIStatusError):
+    status_code: Literal[401] = 401
+
+
+class PermissionDeniedError(APIStatusError):
+    status_code: Literal[403] = 403
+
+
+class NotFoundError(APIStatusError):
+    status_code: Literal[404] = 404
+
+
+class ConflictError(APIStatusError):
+    status_code: Literal[409] = 409
+
+
+class UnprocessableEntityError(APIStatusError):
+    status_code: Literal[422] = 422
+
+
+class RateLimitError(APIStatusError):
+    status_code: Literal[429] = 429
+
+
+class InternalServerError(APIStatusError):
+    pass
+
+
+def _extract_error_message(body: object | None, fallback: str) -> str:
+    if isinstance(body, dict):
+        b = cast(dict[str, Any], body)
+        for key in ("message", "detail", "error"):
+            val = b.get(key)
+            if isinstance(val, str) and val:
+                return val
+        # Sometimes errors are structured like {"error": {"message": "..."}}
+        err = b.get("error")
+        if isinstance(err, dict):
+            e = cast(dict[str, Any], err)
+            for key in ("message", "detail"):
+                val = e.get(key)
+                if isinstance(val, str) and val:
+                    return val
+    return fallback
+
+
+async def _adecode_error_body(r: httpx.Response) -> object | None:
+    try:
+        data = await r.aread()
+    except Exception:
+        return None
+    if not data:
+        return None
+    try:
+        return orjson.loads(data)
+    except Exception:
+        try:
+            return data.decode()
+        except Exception:
+            return None
+
+
+def _decode_error_body(r: httpx.Response) -> object | None:
+    try:
+        data = r.read()
+    except Exception:
+        return None
+    if not data:
+        return None
+    try:
+        return orjson.loads(data)
+    except Exception:
+        try:
+            return data.decode()
+        except Exception:
+            return None
+
+
+def _map_status_error(response: httpx.Response, body: object | None) -> APIStatusError:
+    status = response.status_code
+    reason = response.reason_phrase or "HTTP Error"
+    message = _extract_error_message(body, f"{status} {reason}")
+    if status == 400:
+        return BadRequestError(message, response=response, body=body)
+    if status == 401:
+        return AuthenticationError(message, response=response, body=body)
+    if status == 403:
+        return PermissionDeniedError(message, response=response, body=body)
+    if status == 404:
+        return NotFoundError(message, response=response, body=body)
+    if status == 409:
+        return ConflictError(message, response=response, body=body)
+    if status == 422:
+        return UnprocessableEntityError(message, response=response, body=body)
+    if status == 429:
+        return RateLimitError(message, response=response, body=body)
+    if 500 <= status:
+        return InternalServerError(message, response=response, body=body)
+    return APIStatusError(message, response=response, body=body)
+
+
+async def _araise_for_status_typed(r: httpx.Response) -> None:
+    if r.status_code < 400:
+        return
+    body = await _adecode_error_body(r)
+    err = _map_status_error(r, body)
+    # Log for older Python versions without Exception notes
+    if not (sys.version_info >= (3, 11)):
+        logger.error(f"Error from langgraph-api: {getattr(err, 'message', '')}")
+    raise err
+
+
+def _raise_for_status_typed(r: httpx.Response) -> None:
+    if r.status_code < 400:
+        return
+    body = _decode_error_body(r)
+    err = _map_status_error(r, body)
+    if not (sys.version_info >= (3, 11)):
+        logger.error(f"Error from langgraph-api: {getattr(err, 'message', '')}")
+    raise err

libs/sdk-py/tests/test_errors.py

@@ -0,0 +1,108 @@
+from __future__ import annotations
+
+from typing import cast
+
+import httpx
+import orjson
+import pytest
+
+from langgraph_sdk.errors import (
+    APIStatusError,
+    AuthenticationError,
+    BadRequestError,
+    ConflictError,
+    InternalServerError,
+    NotFoundError,
+    PermissionDeniedError,
+    RateLimitError,
+    UnprocessableEntityError,
+    _raise_for_status_typed,
+)
+
+
+def make_response(
+    status: int,
+    *,
+    json_body: dict | None = None,
+    text_body: str | None = None,
+    headers: dict[str, str] | None = None,
+) -> httpx.Response:
+    request = httpx.Request("GET", "https://example.com/test")
+    content: bytes | None
+    if json_body is not None:
+        content = orjson.dumps(json_body)
+    elif text_body is not None:
+        content = text_body.encode()
+    else:
+        content = b""
+    return httpx.Response(
+        status, headers=headers or {}, content=content, request=request
+    )
+
+
+@pytest.mark.parametrize(
+    "status,exc_type",
+    [
+        (400, BadRequestError),
+        (401, AuthenticationError),
+        (403, PermissionDeniedError),
+        (404, NotFoundError),
+        (409, ConflictError),
+        (422, UnprocessableEntityError),
+        (429, RateLimitError),
+        (500, InternalServerError),
+        (503, InternalServerError),  # any 5xx
+        (418, APIStatusError),  # unmapped 4xx falls back to base type
+    ],
+)
+def test_raise_for_status_typed_maps_exceptions_and_sets_status_code(
+    status: int, exc_type: type[APIStatusError]
+) -> None:
+    r = make_response(
+        status, json_body={"message": "boom", "code": "abc", "param": "p", "type": "t"}
+    )
+
+    with pytest.raises(exc_type) as ei:
+        _raise_for_status_typed(r)
+
+    err = cast(APIStatusError, ei.value)
+    assert err.status_code == status
+    # response attribute should be present and match
+    assert err.response.status_code == status
+
+
+def test_request_id_is_extracted_when_present() -> None:
+    r = make_response(
+        404, json_body={"detail": "missing"}, headers={"x-request-id": "req-123"}
+    )
+    with pytest.raises(NotFoundError) as ei:
+        _raise_for_status_typed(r)
+    err = cast(APIStatusError, ei.value)
+    # request_id only exists on APIStatusError subclasses
+    assert err.request_id == "req-123"
+
+
+def test_non_json_body_does_not_break_mapping() -> None:
+    r = make_response(429, text_body="Too many requests")
+    with pytest.raises(RateLimitError) as ei:
+        _raise_for_status_typed(r)
+    err = cast(APIStatusError, ei.value)
+    assert err.status_code == 429
+
+
+def test_field_extraction_from_json_body() -> None:
+    r = make_response(
+        400,
+        json_body={
+            "message": "Invalid parameter",
+            "code": "invalid_param",
+            "param": "limit",
+            "type": "invalid_request_error",
+        },
+    )
+    with pytest.raises(BadRequestError) as ei:
+        _raise_for_status_typed(r)
+    err = cast(APIStatusError, ei.value)
+    assert err.code == "invalid_param"
+    assert err.param == "limit"
+    assert err.type == "invalid_request_error"

libs/sdk-py/uv.lock

@@ -164,7 +164,7 @@ dev = [
 
 [[package]]
 name = "mypy"
-version = "1.18.1"
+version = "1.18.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "mypy-extensions" },
@@ -172,45 +172,45 @@ dependencies = [
     { name = "tomli", marker = "python_full_version < '3.11'" },
     { name = "typing-extensions" },
 ]
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