update snapshot

release(langgraph): 1.0.0a4 (#6218 )
chore(langgraph): regenerate lockfile (#6217 )
2026-08-26 01:22:24 +02:00 · 2025-09-29 08:09:23 -04:00 · 2025-09-29 05:59:44 -04:00 · 2025-09-29 05:58:32 -04:00 · 2025-09-29 05:50:52 -04:00 · 2025-09-29 05:25:22 -04:00
52 changed files with 1551 additions and 1331 deletions
@@ -17,7 +17,6 @@ jobs:
    strategy:
      matrix:
        python-version:
-          - "3.9"
          - "3.10"
          - "3.11"
          - "3.12"
@@ -12,7 +12,6 @@ jobs:
    strategy:
      matrix:
        python-version:
-          - "3.9"
          - "3.10"
          - "3.11"
          - "3.12"
@@ -16,7 +16,6 @@ permissions:

 jobs:
  build:
-    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest

    outputs:
@@ -16,7 +16,6 @@ env:

 jobs:
  build:
-    if: github.ref == 'refs/heads/main'
    runs-on: ubuntu-latest

    outputs:
@@ -22,7 +22,7 @@ jobs:
        uses: astral-sh/setup-uv@v6
        with:
          # use minimum supported Python version
-          python-version: "3.9"
+          python-version: "3.10"
          enable-cache: true
          cache-suffix: "uv-lock-upgrade"
          
@@ -2,4 +2,4 @@

 ::: langgraph.cache.base
 ::: langgraph.cache.memory
-::: langgraph.cache.sqlite
+::: langgraph.cache.sqlite
@@ -2,4 +2,4 @@
    options:
      members:
        - get_store
-        - get_stream_writer
+        - get_stream_writer
@@ -0,0 +1,3 @@
+# Errors
+
+::: langgraph.errors
@@ -2,4 +2,4 @@
    options:
      members:
        - task
-        - entrypoint
+        - entrypoint
@@ -39,4 +39,4 @@
 ::: langgraph.graph.message
    options:
      members:
-        - add_messages
+        - add_messages
@@ -1,6 +1,6 @@
 ---
 title: Reference
-description: API reference
+description: API reference for LangGraph
 search:
  boost: 0.5
 ---
@@ -13,4 +13,44 @@ search:

 # Reference

-Welcome to the reference docs!
+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.
@@ -1,25 +0,0 @@
---
-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.
@@ -1,9 +0,0 @@
-# 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
@@ -1,3 +0,0 @@
-# Errors
-
-::: langgraph.errors
@@ -1,30 +0,0 @@
---
-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.
@@ -38,4 +38,4 @@
        - aget_graph
        - get_subgraphs
        - aget_subgraphs
-        - with_config
+        - with_config
@@ -14,3 +14,5 @@
    options:
      members:
        - get_runtime
+
+
@@ -1,5 +1,6 @@
 # Storage

 ::: langgraph.store.base
+    

-::: langgraph.store.postgres
+::: langgraph.store.postgres
@@ -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:
@@ -187,129 +187,126 @@ 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:
-          - 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
+    - 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

  - 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
@@ -374,7 +371,7 @@ 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
@@ -386,4 +383,4 @@ extra_css:
  - stylesheets/version_admonitions.css
  - stylesheets/logos.css
  - stylesheets/sticky_navigation.css
-  - stylesheets/agent_graph_widget.css
+  - stylesheets/agent_graph_widget.css
@@ -13,7 +13,7 @@ wheels = [

 [[package]]
 name = "anyio"
-version = "4.10.0"
+version = "4.11.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
@@ -21,9 +21,9 @@ dependencies = [
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    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
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+    { url = "https://files.pythonhosted.org/packages/15/b3/9b1a8074496371342ec1e796a96f99c82c945a339cd81a8e73de28b4cf9e/anyio-4.11.0-py3-none-any.whl", hash = "sha256:0287e96f4d26d4149305414d4e3bc32f0dcd0862365a4bddea19d7a1ec38c4fc", size = 109097, upload-time = "2025-09-23T09:19:10.601Z" },
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 [[package]]
@@ -323,7 +323,7 @@ dev = [

 [[package]]
 name = "langsmith"
-version = "0.4.29"
+version = "0.4.31"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "httpx" },
@@ -334,9 +334,9 @@ dependencies = [
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    { name = "zstandard" },
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 [[package]]
@@ -847,55 +847,75 @@ wheels = [

 [[package]]
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 [[package]]
@@ -371,6 +371,14 @@ class HttpConfig(TypedDict, total=False):

    Default is `middleware_first`.
    """
+    enable_custom_route_auth: bool
+    """Optional. If True, authentication is enabled for custom routes,
+    not just the routes that are protected by default.
+    (Routes protected by default include /assistants, /threads, and /runs).
+
+    Default is False. This flag only affects authentication behavior
+    if `app` is provided and contains custom routes.
+    """


 class Config(TypedDict, total=False):
@@ -577,6 +577,10 @@
          "type": "boolean",
          "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
        },
+        "enable_custom_route_auth": {
+          "type": "boolean",
+          "description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
+        },
        "logging_headers": {
          "anyOf": [
            {
@@ -577,6 +577,10 @@
          "type": "boolean",
          "description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
        },
+        "enable_custom_route_auth": {
+          "type": "boolean",
+          "description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
+        },
        "logging_headers": {
          "anyOf": [
            {
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+version = "4.11.0"
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    { name = "sniffio", marker = "python_full_version >= '3.11'" },
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+[[package]]
+name = "grpcio"
+version = "1.75.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "typing-extensions", marker = "python_full_version >= '3.11'" },
+]
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+    { url = "https://files.pythonhosted.org/packages/a3/dc/17031897dae0efacfea57dfd3a82fdd2a2aeb58e0ff71b77b87e44edc772/setuptools-80.9.0-py3-none-any.whl", hash = "sha256:062d34222ad13e0cc312a4c02d73f059e86a4acbfbdea8f8f76b28c99f306922", size = 1201486, upload-time = "2025-05-27T00:56:49.664Z" },
 ]

 [[package]]
@@ -1390,15 +1582,15 @@ wheels = [

 [[package]]
 name = "uvicorn"
-version = "0.36.0"
+version = "0.37.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "click", version = "8.3.0", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
    { name = "h11", marker = "python_full_version >= '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/ef/5e/f0cd46063a02fd8515f0e880c37d2657845b7306c16ce6c4ffc44afd9036/uvicorn-0.36.0.tar.gz", hash = "sha256:527dc68d77819919d90a6b267be55f0e76704dca829d34aea9480be831a9b9d9", size = 80032, upload-time = "2025-09-20T01:07:14.418Z" }
+sdist = { url = "https://files.pythonhosted.org/packages/71/57/1616c8274c3442d802621abf5deb230771c7a0fec9414cb6763900eb3868/uvicorn-0.37.0.tar.gz", hash = "sha256:4115c8add6d3fd536c8ee77f0e14a7fd2ebba939fed9b02583a97f80648f9e13", size = 80367, upload-time = "2025-09-23T13:33:47.486Z" }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/96/06/5cc0542b47c0338c1cb676b348e24a1c29acabc81000bced518231dded6f/uvicorn-0.36.0-py3-none-any.whl", hash = "sha256:6bb4ba67f16024883af8adf13aba3a9919e415358604ce46780d3f9bdc36d731", size = 67675, upload-time = "2025-09-20T01:07:12.984Z" },
+    { url = "https://files.pythonhosted.org/packages/85/cd/584a2ceb5532af99dd09e50919e3615ba99aa127e9850eafe5f31ddfdb9a/uvicorn-0.37.0-py3-none-any.whl", hash = "sha256:913b2b88672343739927ce381ff9e2ad62541f9f8289664fa1d1d3803fa2ce6c", size = 67976, upload-time = "2025-09-23T13:33:45.842Z" },
 ]

 [[package]]
@@ -1,7 +1,7 @@
 from __future__ import annotations

 from collections import ChainMap
-from collections.abc import Sequence
+from collections.abc import Mapping, Sequence
 from os import getenv
 from typing import Any, cast

@@ -312,11 +312,22 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
        for k, v in config.items():
            if _is_not_empty(v) and k not in CONFIG_KEYS:
                empty[CONF][k] = v
+    _empty_metadata = empty["metadata"]
    for key, value in empty[CONF].items():
-        if (
-            not key.startswith("__")
-            and isinstance(value, (str, int, float, bool))
-            and key not in empty["metadata"]
-        ):
-            empty["metadata"][key] = value
+        if _exclude_as_metadata(key, value, _empty_metadata):
+            continue
+        _empty_metadata[key] = value
    return empty
+
+
+_OMIT = ("key", "token", "secret", "password", "auth")
+
+
+def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
+    key_lower = key.casefold()
+    return (
+        key.startswith("__")
+        or not isinstance(value, (str, int, float, bool))
+        or key in metadata
+        or any(substr in key_lower for substr in _OMIT)
+    )
@@ -1369,10 +1369,14 @@ def _get_channel(
 def _is_field_channel(typ: type[Any]) -> BaseChannel | None:
    if hasattr(typ, "__metadata__"):
        meta = typ.__metadata__
-        if len(meta) >= 1 and isinstance(meta[-1], BaseChannel):
-            return meta[-1]
-        elif len(meta) >= 1 and isclass(meta[-1]) and issubclass(meta[-1], BaseChannel):
-            return meta[-1](typ.__origin__ if hasattr(typ, "__origin__") else typ)
+        # Search through all annotated medata to find channel annotations
+        for item in meta:
+            if isinstance(item, BaseChannel):
+                return item
+            elif isclass(item) and issubclass(item, BaseChannel):
+                # ex, Annotated[int, EphemeralValue, SomeOtherAnnotation]
+                # would return EphemeralValue(int)
+                return item(typ.__origin__ if hasattr(typ, "__origin__") else typ)
    return None


@@ -48,7 +48,7 @@ class CheckpointTask(TypedDict):
    name: str
    error: str | None
    interrupts: list[dict]
-    state: RunnableConfig | None
+    state: StateSnapshot | RunnableConfig | None


 class CheckpointPayload(TypedDict):
@@ -4,10 +4,10 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph"
-version = "0.6.7"
+version = "1.0.0a4"
 description = "Building stateful, multi-actor applications with LLMs"
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -15,7 +15,7 @@ dependencies = [
    "langchain-core>=0.1",
    "langgraph-checkpoint>=2.1.0,<3.0.0",
    "langgraph-sdk>=0.2.2,<0.3.0",
-    "langgraph-prebuilt>=0.6.0,<0.7.0",
+    "langgraph-prebuilt==0.7.0a2",
    "xxhash>=3.5.0",
    "pydantic>=2.7.4",
 ]
@@ -37,6 +37,7 @@ dev = [
    "jupyter",
    "pytest-xdist[psutil]",
    "pytest-repeat",
+    "langchain-core==1.0.0a1",
    "langgraph-prebuilt",
    "langgraph-checkpoint",
    "langgraph-checkpoint-sqlite",
@@ -74,17 +74,26 @@ class FakeChatModel(GenericFakeChatModel):
            assert isinstance(content, str)
            content_chunks = cast(list[str], re.split(r"(\s)", content))

-            for token in content_chunks:
-                chunk = ChatGenerationChunk(
-                    message=AIMessageChunk(content=token, id=message.id)
-                )
+            for i, token in enumerate(content_chunks):
+                if i == len(content_chunks) - 1:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(
+                            content=token, id=message.id, chunk_position="last"
+                        )
+                    )
+                else:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(content=token, id=message.id)
+                    )
                if run_manager:
                    run_manager.on_llm_new_token(token, chunk=chunk)
                yield chunk
        else:
            args = message.__dict__
            args.pop("type")
-            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
+            chunk = ChatGenerationChunk(
+                message=AIMessageChunk(**args, chunk_position="last")
+            )
            if run_manager:
                run_manager.on_llm_new_token("", chunk=chunk)
            yield chunk
@@ -122,17 +131,27 @@ class FakeChatModel(GenericFakeChatModel):
            assert isinstance(content, str)
            content_chunks = cast(list[str], re.split(r"(\s)", content))

-            for token in content_chunks:
-                chunk = ChatGenerationChunk(
-                    message=AIMessageChunk(content=token, id=message.id)
-                )
+            for i, token in enumerate(content_chunks):
+                if i == len(content_chunks) - 1:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(
+                            content=token, id=message.id, chunk_position="last"
+                        )
+                    )
+                else:
+                    chunk = ChatGenerationChunk(
+                        message=AIMessageChunk(content=token, id=message.id)
+                    )
+
                if run_manager:
                    run_manager.on_llm_new_token(token, chunk=chunk)
                yield chunk
        else:
            args = message.__dict__
            args.pop("type")
-            chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
+            chunk = ChatGenerationChunk(
+                message=AIMessageChunk(**args, chunk_position="last")
+            )
            if run_manager:
                await run_manager.on_llm_new_token("", chunk=chunk)
            yield chunk
@@ -1387,6 +1387,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                        "type": "tool_call_chunk",
                    }
                ],
+                chunk_position="last",
            ),
            {
                "langgraph_step": 1,
@@ -1446,6 +1447,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
                        "type": "tool_call_chunk",
                    },
                ],
+                chunk_position="last",
            ),
            {
                "langgraph_step": 3,
@@ -1494,6 +1496,7 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
        (
            _AnyIdAIMessageChunk(
                content="answer",
+                chunk_position="last",
            ),
            {
                "langgraph_step": 5,
@@ -1140,6 +1140,7 @@ async def test_prebuilt_tool_chat() -> None:
                        "type": "tool_call_chunk",
                    }
                ],
+                chunk_position="last",
            ),
            {
                "langgraph_step": 1,
@@ -1199,6 +1200,7 @@ async def test_prebuilt_tool_chat() -> None:
                        "type": "tool_call_chunk",
                    },
                ],
+                chunk_position="last",
            ),
            {
                "langgraph_step": 3,
@@ -1247,6 +1249,7 @@ async def test_prebuilt_tool_chat() -> None:
        (
            _AnyIdAIMessageChunk(
                content="answer",
+                chunk_position="last",
            ),
            {
                "langgraph_step": 5,
@@ -20,7 +20,10 @@ from langgraph.graph.message import REMOVE_ALL_MESSAGES, MessagesState, push_mes
 from langgraph.graph.state import StateGraph
 from tests.messages import _AnyIdHumanMessage

-_, CORE_MINOR, CORE_PATCH = (int(v) for v in langchain_core.__version__.split("."))
+_, CORE_MINOR, CORE_PATCH = (
+    int("".join(c for c in v if c.isdigit()))
+    for v in langchain_core.__version__.split(".")
+)


 def test_add_single_message():
@@ -6664,7 +6664,7 @@ def test_tags_stream_mode_messages() -> None:
        )
    ) == [
        (
-            _AnyIdAIMessageChunk(content="foo"),
+            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
            {
                "langgraph_step": 1,
                "langgraph_node": "call_model",
@@ -7548,7 +7548,7 @@ async def test_tags_stream_mode_messages() -> None:
        )
    ] == [
        (
-            _AnyIdAIMessageChunk(content="foo"),
+            _AnyIdAIMessageChunk(content="foo", chunk_position="last"),
            {
                "langgraph_step": 1,
                "langgraph_node": "call_model",
@@ -2,7 +2,7 @@ import inspect
 import operator
 import warnings
 from dataclasses import dataclass, field
-from typing import Annotated, Any, Optional
+from typing import Annotated, Any, Optional, Union
 from typing import Annotated as Annotated2

 import pytest
@@ -11,7 +11,13 @@ from pydantic import BaseModel
 from typing_extensions import NotRequired, Required, TypedDict

 from langgraph.channels.binop import BinaryOperatorAggregate
-from langgraph.graph.state import StateGraph, _get_node_name, _warn_invalid_state_schema
+from langgraph.channels.ephemeral_value import EphemeralValue
+from langgraph.graph.state import (
+    StateGraph,
+    _get_node_name,
+    _is_field_channel,
+    _warn_invalid_state_schema,
+)


 class State(BaseModel):
@@ -335,3 +341,33 @@ def test_private_input_schema_conditional_edge():
    builder.add_edge("__start__", "node_1")
    graph = builder.compile()
    assert graph.invoke({"foo": 0}) == {"foo": 2, "bar": "meow"}
+
+
+def test_is_field_channel() -> None:
+    """Test channel detection across all scenarios."""
+    # Basic detection
+    result = _is_field_channel(Annotated[int, EphemeralValue])
+    assert isinstance(result, EphemeralValue) and result.typ is int
+
+    # Main fix: handles extraneous annotations
+    result = _is_field_channel(Annotated[str, "metadata", EphemeralValue, "more"])
+    assert isinstance(result, EphemeralValue) and result.typ is str
+
+    # Complex types work
+    union_type = Union[int, str]
+    result = _is_field_channel(Annotated[union_type, EphemeralValue])
+    assert isinstance(result, EphemeralValue) and result.typ is union_type
+
+    # Pre-instantiated channels
+    instantiated = EphemeralValue(int)
+    result = _is_field_channel(Annotated[int, instantiated])
+    assert result is instantiated
+
+    # Pre-instantiated channels with multiple annotations
+    instantiated = EphemeralValue(int)
+    result = _is_field_channel(Annotated[int, "metadata", instantiated, "more"])
+    assert result is instantiated
+
+    # No channel cases
+    assert _is_field_channel(int) is None
+    assert _is_field_channel(Annotated[int, "just_metadata"]) is None
@@ -17,16 +17,13 @@ import langsmith
 import pytest
 from typing_extensions import NotRequired, Required, TypedDict

-from langgraph._internal._config import _is_not_empty
+from langgraph._internal._config import _is_not_empty, ensure_config
 from langgraph._internal._fields import (
    _is_optional_type,
    get_enhanced_type_hints,
    get_field_default,
 )
-from langgraph._internal._runnable import (
-    is_async_callable,
-    is_async_generator,
-)
+from langgraph._internal._runnable import is_async_callable, is_async_generator
 from langgraph.constants import END
 from langgraph.graph import StateGraph
 from langgraph.graph.state import CompiledStateGraph
@@ -301,3 +298,24 @@ def test_is_not_empty() -> None:
    assert not _is_not_empty([])
    assert not _is_not_empty(())
    assert not _is_not_empty({})
+
+
+def test_configurable_metadata():
+    config = {
+        "configurable": {
+            "a-key": "foo",
+            "somesecretval": "bar",
+            "sometoken": "thetoken",
+            "__dontinclude": "bar",
+            "includeme": "hi",
+            "andme": 42,
+            "nested": {"foo": "bar"},
+            "nooverride": -2,
+        },
+        "metadata": {"nooverride": 18},
+    }
+    expected = {"includeme", "andme", "nooverride"}
+    merged = ensure_config(config)
+    metadata = merged["metadata"]
+    assert metadata.keys() == expected
+    assert metadata["nooverride"] == 18
@@ -1,4 +1,5 @@
 import inspect
+import warnings
 from typing import (
    Any,
    Awaitable,
@@ -12,7 +13,6 @@ from typing import (
    cast,
    get_type_hints,
 )
-from warnings import warn

 from langchain_core.language_models import (
    BaseChatModel,
@@ -46,19 +46,18 @@ from langgraph.types import Checkpointer, Send
 from langgraph.typing import ContextT
 from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel
-from typing_extensions import Annotated, NotRequired, TypedDict
+from typing_extensions import Annotated, NotRequired, TypedDict, deprecated

 from langgraph.prebuilt.tool_node import ToolNode

 StructuredResponse = Union[dict, BaseModel]
 StructuredResponseSchema = Union[dict, type[BaseModel]]
-F = TypeVar("F", bound=Callable[..., Any])


-# We create the AgentState that we will pass around
-# This simply involves a list of messages
-# We want steps to return messages to append to the list
-# So we annotate the messages attribute with `add_messages` reducer
+@deprecated(
+    "AgentState has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentState'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class AgentState(TypedDict):
    """The state of the agent."""

@@ -67,6 +66,10 @@ class AgentState(TypedDict):
    remaining_steps: NotRequired[RemainingSteps]


+@deprecated(
+    "AgentStatePydantic has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStatePydantic'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class AgentStatePydantic(BaseModel):
    """The state of the agent."""

@@ -75,16 +78,38 @@ class AgentStatePydantic(BaseModel):
    remaining_steps: RemainingSteps = 25


-class AgentStateWithStructuredResponse(AgentState):
-    """The state of the agent with a structured response."""
+with warnings.catch_warnings():
+    warnings.filterwarnings(
+        "ignore",
+        category=LangGraphDeprecatedSinceV10,
+        message="AgentState has been moved to langchain.agents.*",
+    )

-    structured_response: StructuredResponse
+    @deprecated(
+        "AgentStateWithStructuredResponse has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStateWithStructuredResponse'.",
+        category=LangGraphDeprecatedSinceV10,
+    )
+    class AgentStateWithStructuredResponse(AgentState):
+        """The state of the agent with a structured response."""
+
+        structured_response: StructuredResponse


-class AgentStateWithStructuredResponsePydantic(AgentStatePydantic):
-    """The state of the agent with a structured response."""
+with warnings.catch_warnings():
+    warnings.filterwarnings(
+        "ignore",
+        category=LangGraphDeprecatedSinceV10,
+        message="AgentStatePydantic has been moved to langchain.agents.*",
+    )

-    structured_response: StructuredResponse
+    @deprecated(
+        "AgentStateWithStructuredResponsePydantic has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStateWithStructuredResponsePydantic'.",
+        category=LangGraphDeprecatedSinceV10,
+    )
+    class AgentStateWithStructuredResponsePydantic(AgentStatePydantic):
+        """The state of the agent with a structured response."""
+
+        structured_response: StructuredResponse


 StateSchema = TypeVar("StateSchema", bound=Union[AgentState, AgentStatePydantic])
@@ -245,6 +270,10 @@ def _validate_chat_history(
    raise ValueError(error_message)


+@deprecated(
+    "create_react_agent has been moved to langchain.agents. Please update your import to 'from langchain.agents import create_agent'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 def create_react_agent(
    model: Union[
        str,
@@ -473,7 +502,7 @@ def create_react_agent(
    if (
        config_schema := deprecated_kwargs.pop("config_schema", MISSING)
    ) is not MISSING:
-        warn(
+        warnings.warn(
            "`config_schema` is deprecated and will be removed. Please use `context_schema` instead.",
            category=LangGraphDeprecatedSinceV10,
        )
@@ -1,8 +1,13 @@
 from typing import Literal, Optional, Union

-from typing_extensions import TypedDict
+from langgraph.warnings import LangGraphDeprecatedSinceV10
+from typing_extensions import TypedDict, deprecated


+@deprecated(
+    "HumanInterruptConfig has been moved to langchain.agents.interrupt. Please update your import to 'from langchain.agents.interrupt import HumanInterruptConfig'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class HumanInterruptConfig(TypedDict):
    """Configuration that defines what actions are allowed for a human interrupt.

@@ -21,6 +26,10 @@ class HumanInterruptConfig(TypedDict):
    allow_accept: bool


+@deprecated(
+    "ActionRequest has been moved to langchain.agents.interrupt. Please update your import to 'from langchain.agents.interrupt import ActionRequest'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class ActionRequest(TypedDict):
    """Represents a request for human action within the graph execution.

@@ -35,6 +44,10 @@ class ActionRequest(TypedDict):
    args: dict


+@deprecated(
+    "HumanInterrupt has been moved to langchain.agents.interrupt. Please update your import to 'from langchain.agents.interrupt import HumanInterrupt'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class HumanInterrupt(TypedDict):
    """Represents an interrupt triggered by the graph that requires human intervention.

@@ -73,8 +73,9 @@ from langgraph.errors import GraphBubbleUp
 from langgraph.graph.message import REMOVE_ALL_MESSAGES
 from langgraph.store.base import BaseStore
 from langgraph.types import Command, Send
+from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel
-from typing_extensions import Annotated, get_args, get_origin
+from typing_extensions import Annotated, deprecated, get_args, get_origin

 INVALID_TOOL_NAME_ERROR_TEMPLATE = (
    "Error: {requested_tool} is not a valid tool, try one of [{available_tools}]."
@@ -235,6 +236,10 @@ def _infer_handled_types(handler: Callable[..., str]) -> tuple[type[Exception],
    return (Exception,)


+@deprecated(
+    "ToolNode has been moved to langchain.agents.tool_node. Please update your import to 'from langchain.agents.tool_node import ToolNode'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class ToolNode(RunnableCallable):
    """A node that runs the tools called in the last AIMessage.

@@ -850,6 +855,10 @@ def tools_condition(
    return "__end__"


+@deprecated(
+    "InjectedState has been moved to langchain.agents.tool_node. Please update your import to 'from langchain.agents.tool_node import InjectedState'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class InjectedState(InjectedToolArg):
    """Annotation for injecting graph state into tool arguments.

@@ -924,6 +933,10 @@ class InjectedState(InjectedToolArg):
        self.field = field


+@deprecated(
+    "InjectedStore has been moved to langchain.agents.tool_node. Please update your import to 'from langchain.agents.tool_node import InjectedStore'.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class InjectedStore(InjectedToolArg):
    """Annotation for injecting persistent store into tool arguments.

@@ -30,9 +30,11 @@ from langchain_core.runnables.config import get_executor_for_config
 from langchain_core.tools import BaseTool, create_schema_from_function
 from langchain_core.utils.pydantic import is_basemodel_subclass
 from langgraph._internal._runnable import RunnableCallable
+from langgraph.warnings import LangGraphDeprecatedSinceV10
 from pydantic import BaseModel, ValidationError
 from pydantic.v1 import BaseModel as BaseModelV1
 from pydantic.v1 import ValidationError as ValidationErrorV1
+from typing_extensions import deprecated


 def _default_format_error(
@@ -44,6 +46,10 @@ def _default_format_error(
    return f"{repr(error)}\n\nRespond after fixing all validation errors."


+@deprecated(
+    "ValidationNode is deprecated. Please use create_react_agent from langchain.agents with custom tool error handling.",
+    category=LangGraphDeprecatedSinceV10,
+)
 class ValidationNode(RunnableCallable):
    """A node that validates all tools requests from the last AIMessage.

@@ -4,10 +4,10 @@ build-backend = "hatchling.build"

 [project]
 name = "langgraph-prebuilt"
-version = "0.6.4"
+version = "0.7.0a2"
 description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
 authors = []
-requires-python = ">=3.9"
+requires-python = ">=3.10"
 readme = "README.md"
 license = "MIT"
 license-files = ['LICENSE']
@@ -28,6 +28,7 @@ dev = [
    "pytest-mock",
    "pytest-watcher",
    "mypy",
+    "langchain-core",
    "langgraph",
    "langgraph-checkpoint",
    "langgraph-checkpoint-sqlite",
@@ -1,6 +1,6 @@
 version = 1
-revision = 3
-requires-python = ">=3.9"
+revision = 2
+requires-python = ">=3.10"

 [[package]]
 name = "aiosqlite"
@@ -25,7 +25,7 @@ wheels = [

 [[package]]
 name = "anyio"
-version = "4.10.0"
+version = "4.11.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
    { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
@@ -33,9 +33,9 @@ dependencies = [
    { name = "sniffio" },
    { name = "typing-extensions", marker = "python_full_version < '3.13'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/f1/b4/636b3b65173d3ce9a38ef5f0522789614e590dab6a8d505340a4efe4c567/anyio-4.10.0.tar.gz", hash = "sha256:3f3fae35c96039744587aa5b8371e7e8e603c0702999535961dd336026973ba6", size = 213252, upload-time = "2025-08-04T08:54:26.451Z" }
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@@ -58,7 +58,14 @@ Values:
 """

 FilterType = typing.Union[
-    dict[str, typing.Union[str, dict[typing.Literal["$eq", "$contains"], str]]],
+    dict[
+        str,
+        typing.Union[
+            str,
+            dict[typing.Literal["$eq", "$contains"], str],
+            dict[typing.Literal["$contains"], list[str]],
+        ],
+    ],
    dict[str, str],
 ]
 """Response type for authorization handlers.
@@ -66,24 +73,33 @@ FilterType = typing.Union[
 Supports exact matches and operators:
    - Exact match shorthand: {"field": "value"}
    - Exact match: {"field": {"$eq": "value"}}
-    - Contains: {"field": {"$contains": "value"}}
+    - Contains (membership): {"field": {"$contains": "value"}}
+    - Contains (subset containment): {"field": {"$contains": ["value1", "value2"]}}
+
+Subset containment is only supported by newer versions of the LangGraph dev server;
+install langgraph-runtime-inmem >= 0.14.1 to use this filter variant.

 ???+ example "Examples"
    Simple exact match filter for the resource owner:
    ```python
    filter = {"owner": "user-abcd123"}
    ```
-    
+
    Explicit version of the exact match filter:
    ```python
    filter = {"owner": {"$eq": "user-abcd123"}}
    ```
-    
-    Containment:
+ 
+    Containment (membership of a single element):
    ```python
    filter = {"participants": {"$contains": "user-abcd123"}}
    ```

+    Containment (subset containment; all values must be present, but order doesn't matter):
+    ```python
+    filter = {"participants": {"$contains": ["user-abcd123", "user-efgh456"]}}
+    ```
+
    Combining filters (treated as a logical `AND`):
    ```python
    filter = {"owner": "user-abcd123", "participants": {"$contains": "user-efgh456"}}
@@ -4,7 +4,7 @@ requires-python = ">=3.9"

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 [[package]]
Author	SHA1	Message	Date
Sydney Runkle	5cdea45121	update snapshot	2025-09-29 08:09:23 -04:00
Sydney RunkleandGitHub	9bdd136262	release(langgraph): 1.0.0a4 (#6218 )	2025-09-29 05:59:44 -04:00
Sydney RunkleandGitHub	3be60a3a83	chore(langgraph): regenerate lockfile (#6217 )	2025-09-29 05:58:32 -04:00
Sydney RunkleandGitHub	6e0b5a5b3d	Merge branch 'main' into v1-dev	2025-09-29 05:50:52 -04:00
Sydney RunkleandGitHub	980c8998dd	chore(langgraph): deps update (#6216 )	2025-09-29 05:25:22 -04:00
Sydney RunkleandGitHub	3a024cff6d	release(langgraph): 0.6.8 (#6215 )	2025-09-29 09:16:43 +00:00
github-actions[bot]GitHub sydney-runkle	4a0b2fa0ef	chore(deps): upgrade dependencies with `uv lock --upgrade` (#6211 ) This PR updates the dependencies in all Python packages using `uv lock --upgrade`. This is an automated PR created by the UV Lock Upgrade workflow. Co-authored-by: sydney-runkle <54324534+sydney-runkle@users.noreply.github.com>	2025-09-29 09:07:51 +00:00
Sydney RunkleandGitHub	36179ab1d2	fix(langgraph): handle multiple annotations w/ `BaseChannel` detection (#6210 ) This PR ensures that even if a type has multiple annotations, we can still detect the `BaseChannel` subclasses attached. ```py class State(TypedDict): # recognized as EphemeralValue(int) foo: Annotated[int, EphemeralValue] # now recognized as EphemeralValue(int) bar: Annotated[int, EphemeralValue, OtherMetadata] # now recognized as EphemeralValue(int) baz: Annotated[int, SomeMetadata, EphemeralValue, OtherMetadata] ```	2025-09-26 17:22:24 -04:00
Parker J. RuleandGitHub	20ddb2b8b4	fix(langgraph): `CheckpointTask.state` can be a `StateSnapshot` (#6201 ) This adds `StateSnapshot` to the union type annotation of `CheckpointTask.state`. The annotation was previously incomplete: `map_debug_checkpoint()` generates `CheckpointPayload` objects from `PregelTask` objects, and the `state` field in `PregelTask` is of type `None \| RunnableConfig \| StateSnapshot`.	2025-09-25 22:30:19 +00:00
Parker J. RuleandGitHub	b0a25f2794	feat(cli): add flag in HttpConfig for auth on custom routes (#6193 ) We currently only support auth on the default routes; we'd like to be able to support it on all (non-meta/liveness probe) routes by default. This is the first step in that direction.	2025-09-25 17:17:33 -04:00
Parker J. RuleandGitHub	ea0aebaa2e	chore(sdk-py): refine FilterType, add subset containment to $contains docs (#6200 ) The `$contains` auth operator supports subset containment checks, but this has previously been undocumented. This updates `FilterType` and its associated docstring to reflect this support.	2025-09-25 15:58:35 -04:00
Sydney RunkleandGitHub	fdebb1dd18	fix(prebuilt): ignore nested warnings as a result of subclassing (#6139 ) Raised by @jacoblee93, the following was raising a cryptic deprecation warning: ```py import pytest from langchain_core.language_models import FakeListChatModel from langchain.agents import create_agent @pytest.fixture def test_llm(): return FakeListChatModel(responses=["Hello from test agent!"]) @pytest.fixture def simple_agent(test_llm): return create_agent( model=test_llm, tools=[], prompt="You are a helpful assistant." ) def test_basic_agent_execution(simple_agent): result = simple_agent.invoke({"messages": [{"role": "user", "content": "hi"}]}) assert len(result["messages"]) == 2 assert result["messages"][1].content == "Hello from test agent!" ``` ``` <frozen abc>:106 <frozen abc>:106: LangGraphDeprecatedSinceV10: AgentStatePydantic has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentStatePydantic'. Deprecated in LangGraph V1.0 to be removed in V2.0. -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html ``` This fixes that issue. I don't actually think we should re-expose these new states in `langchain.agents` given that middleware agents don't use them. Need to make a call on that.	2025-09-14 19:32:31 -04:00
William FHandGitHub	72ed052ece	chore(langgraph): Omit other keys from metadata by default (#6047 ) Right now we include configuration as metadata (which is later passed to tracing callbacks). Right now we include any key that doesn't have a dunder prefix and whose value is a string or int. This PR proposes to also exclude keys with certain substrings (key, secret, token). I would also be in favor of dropping support for forwarding configurable values to metadata entirely, but this is a smaller, less controversial change. Add a test.	2025-09-09 14:27:14 -07:00
Sydney RunkleandGitHub	ca6f033c17	Merge branch 'main' into v1-dev	2025-09-09 10:47:48 -04:00
Sydney RunkleandGitHub	f1e82988f5	release(langgraph): 1.0.0-alpha.3 (#6094 )	2025-09-07 13:00:48 -04:00
Sydney RunkleandGitHub	867d481898	Merge branch 'main' into v1-dev	2025-09-07 12:55:10 -04:00
Sydney RunkleandGitHub	8fc098ec27	chore(langgraph): fix deprecation warning and cut next alpha release (#6063 )	2025-09-02 12:55:58 -04:00
Sydney Runkle	bfb54dbfae	v bump	2025-08-27 16:46:28 -04:00
Sydney RunkleandGitHub	8c0e729e68	chore(ci): allow non-main release (#6032 )	2025-08-27 16:40:07 -04:00
Sydney RunkleandGitHub	adcfa19391	chore(ci): allow release off non main (#6031 )	2025-08-27 16:35:57 -04:00
Sydney Runkle GitHub ccurme	1335f1eb20	release(langgraph): prep for v1 alpha (#6025 ) * Bump version of langgraph to v1.0.0a1 * Bump version of prebuilt to v0.7.0a1 * Fix tests w/ new langchain-core alpha version * Bump min supported python version Deprecating prebuilts tools w/ helpful IDE hinting + deprecation messages. --------- Co-authored-by: ccurme <chester.curme@gmail.com>	2025-08-27 16:31:34 -04:00