mirror of
https://github.com/langchain-ai/langgraph.git
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Compare commits
22
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 samecrowderandGitHub
|
40be7b23be | ||
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Sam CrowderandGitHub
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9b46cba1fb | ||
|
Kathryn MayandGitHub
|
a6dab889d1 | ||
|
dependabot[bot]GitHubdependabot[bot] <49699333+dependabot[bot]@users.noreply.github.com>Eugene Yurtsev |
7c6dbb3972 | ||
|
Kathryn MayandGitHub
|
e08b8352a8 | ||
|
Sam CrowderandGitHub
|
f7fe7c6698 | ||
|
Caspar BroekhuizenandGitHub
|
c2bc6ab8e9 | ||
|
Caspar BroekhuizenandGitHub
|
420550501f | ||
|
Sam CrowderandGitHub
|
a0599139b8 | ||
|
Parker J. RuleandGitHub
|
c2f359f708 | ||
|
Caspar BroekhuizenandGitHub
|
7f78a011fd | ||
|
Caspar BroekhuizenandGitHub
|
7d166bfb9f | ||
|
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6cc8899818 | ||
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1ba96f49bf | ||
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Caspar BroekhuizenandGitHub
|
b0958115c1 | ||
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Mason DaughertyandGitHub
|
04fb14d3ae | ||
|
Mason DaughertyandGitHub
|
efb0e8c176 | ||
|
Caspar BroekhuizenandGitHub
|
0584eaa5c4 | ||
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Caspar BroekhuizenandGitHub
|
0c73af5624 | ||
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Isaac FranciscoandGitHub
|
9d1bb9d86c | ||
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Kathryn MayandGitHub
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7c69cb54a6 | ||
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Kathryn MayandGitHub
|
c2279cbe6f |
@@ -40,7 +40,7 @@ jobs:
|
||||
filter: "libs/cli/**"
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
if: steps.changed-files.outputs.all
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
enable-cache: true
|
||||
|
||||
@@ -39,7 +39,7 @@ jobs:
|
||||
filter: "${{ inputs.working-directory }}/**"
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
if: steps.changed-files.outputs.all
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
enable-cache: true
|
||||
|
||||
@@ -17,6 +17,7 @@ jobs:
|
||||
strategy:
|
||||
matrix:
|
||||
python-version:
|
||||
- "3.9"
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
@@ -26,7 +27,7 @@ jobs:
|
||||
steps:
|
||||
- uses: actions/checkout@v5
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
enable-cache: true
|
||||
|
||||
@@ -12,6 +12,7 @@ jobs:
|
||||
strategy:
|
||||
matrix:
|
||||
python-version:
|
||||
- "3.9"
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
@@ -24,7 +25,7 @@ jobs:
|
||||
steps:
|
||||
- uses: actions/checkout@v5
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
enable-cache: true
|
||||
|
||||
@@ -16,6 +16,7 @@ permissions:
|
||||
|
||||
jobs:
|
||||
build:
|
||||
if: github.ref == 'refs/heads/main'
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
outputs:
|
||||
@@ -26,7 +27,7 @@ jobs:
|
||||
- uses: actions/checkout@v5
|
||||
|
||||
- name: Set up Python $${ env.PYTHON_VERSION }}
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
enable-cache: true
|
||||
|
||||
@@ -20,7 +20,7 @@ jobs:
|
||||
- uses: actions/checkout@v5
|
||||
- run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
|
||||
- name: Set up Python 3.11
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: "3.11"
|
||||
enable-cache: true
|
||||
|
||||
@@ -22,7 +22,7 @@ jobs:
|
||||
with:
|
||||
format: json
|
||||
- name: Set up Python 3.11
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: "3.11"
|
||||
enable-cache: true
|
||||
|
||||
@@ -120,7 +120,7 @@ jobs:
|
||||
steps:
|
||||
- uses: actions/checkout@v5
|
||||
- name: Set up Python ${{ matrix.python-version }}
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: "3.11"
|
||||
enable-cache: true
|
||||
|
||||
@@ -46,7 +46,7 @@ jobs:
|
||||
fetch-depth: 0
|
||||
|
||||
- name: Set up Python
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: "3.12"
|
||||
enable-cache: true
|
||||
|
||||
@@ -16,6 +16,7 @@ env:
|
||||
|
||||
jobs:
|
||||
build:
|
||||
if: github.ref == 'refs/heads/main'
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
outputs:
|
||||
@@ -28,7 +29,7 @@ jobs:
|
||||
- uses: actions/checkout@v5
|
||||
|
||||
- name: Set up Python
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
enable-cache: true
|
||||
@@ -173,7 +174,7 @@ jobs:
|
||||
# used in the real world.
|
||||
|
||||
- name: Set up Python
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
enable-cache: true
|
||||
@@ -263,7 +264,7 @@ jobs:
|
||||
- uses: actions/checkout@v5
|
||||
|
||||
- name: Set up Python
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
enable-cache: true
|
||||
@@ -304,7 +305,7 @@ jobs:
|
||||
- uses: actions/checkout@v5
|
||||
|
||||
- name: Set up Python
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
enable-cache: true
|
||||
|
||||
@@ -30,7 +30,7 @@ jobs:
|
||||
steps:
|
||||
- uses: actions/checkout@v5
|
||||
- name: Set up Python + Poetry
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
python-version: "3.11"
|
||||
enable-cache: true
|
||||
|
||||
@@ -19,10 +19,10 @@ jobs:
|
||||
- uses: actions/checkout@v5
|
||||
|
||||
- name: Set up uv
|
||||
uses: astral-sh/setup-uv@v6
|
||||
uses: astral-sh/setup-uv@v7
|
||||
with:
|
||||
# use minimum supported Python version
|
||||
python-version: "3.10"
|
||||
python-version: "3.9"
|
||||
enable-cache: true
|
||||
cache-suffix: "uv-lock-upgrade"
|
||||
|
||||
|
||||
@@ -28,7 +28,7 @@ Below is a high-level overview:
|
||||
- **langgraph** – core framework for building stateful, multi-actor agents.
|
||||
- **prebuilt** – high-level APIs for creating and running agents and tools.
|
||||
- **sdk-js** – JS/TS SDK for interacting with the LangGraph REST API.
|
||||
- **sdk-py** – Python SDK for the LangGraph Platform API.
|
||||
- **sdk-py** – Python SDK for the LangGraph Server API.
|
||||
|
||||
### Dependency map
|
||||
|
||||
|
||||
+3
-3
@@ -277,9 +277,9 @@ def my_function(arg1: int, arg2: str) -> float:
|
||||
Examples:
|
||||
This is a section for examples of how to use the function.
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
my_function(1, "hello")
|
||||
```python
|
||||
my_function(1, "hello")
|
||||
\```
|
||||
|
||||
Args:
|
||||
arg1: This is a description of arg1. We do not need to specify the type since
|
||||
|
||||
@@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s
|
||||
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
|
||||
|
||||
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
|
||||
- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
|
||||
- [LangSmith Deployment](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
|
||||
- [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development.
|
||||
|
||||
> [!NOTE]
|
||||
|
||||
@@ -88,12 +88,12 @@ REDIRECT_MAP = {
|
||||
"cloud/how-tos/human_in_the_loop_user_input.md": "cloud/how-tos/add-human-in-the-loop.md",
|
||||
"concepts/platform_architecture.md": "concepts/langgraph_cloud#architecture",
|
||||
# cloud streaming redirects
|
||||
"cloud/how-tos/stream_values.md": "https://docs.langchain.com/langgraph-platform/streaming",
|
||||
"cloud/how-tos/stream_updates.md": "https://docs.langchain.com/langgraph-platform/streaming",
|
||||
"cloud/how-tos/stream_messages.md": "https://docs.langchain.com/langgraph-platform/streaming",
|
||||
"cloud/how-tos/stream_events.md": "https://docs.langchain.com/langgraph-platform/streaming",
|
||||
"cloud/how-tos/stream_debug.md": "https://docs.langchain.com/langgraph-platform/streaming",
|
||||
"cloud/how-tos/stream_multiple.md": "https://docs.langchain.com/langgraph-platform/streaming",
|
||||
"cloud/how-tos/stream_values.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/how-tos/stream_updates.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/how-tos/stream_messages.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/how-tos/stream_events.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/how-tos/stream_debug.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/how-tos/stream_multiple.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/concepts/streaming.md": "concepts/streaming.md",
|
||||
"agents/streaming.md": "how-tos/streaming.md",
|
||||
# prebuilt redirects
|
||||
@@ -129,83 +129,83 @@ REDIRECT_MAP = {
|
||||
"how-tos/human_in_the_loop/edit-graph-state.ipynb": "how-tos/human_in_the_loop/time-travel.md",
|
||||
|
||||
# LGP mintlify migration redirects
|
||||
"tutorials/auth/getting_started.md": "https://docs.langchain.com/langgraph-platform/auth",
|
||||
"tutorials/auth/resource_auth.md": "https://docs.langchain.com/langgraph-platform/resource-auth",
|
||||
"tutorials/auth/add_auth_server.md": "https://docs.langchain.com/langgraph-platform/add-auth-server",
|
||||
"how-tos/use-remote-graph.md": "https://docs.langchain.com/langgraph-platform/use-remote-graph",
|
||||
"how-tos/autogen-integration.md": "https://docs.langchain.com/langgraph-platform/autogen-integration",
|
||||
"cloud/how-tos/use_stream_react.md": "https://docs.langchain.com/langgraph-platform/use-stream-react",
|
||||
"cloud/how-tos/generative_ui_react.md": "https://docs.langchain.com/langgraph-platform/generative-ui-react",
|
||||
"concepts/langgraph_platform.md": "https://docs.langchain.com/langgraph-platform/index",
|
||||
"concepts/langgraph_components.md": "https://docs.langchain.com/langgraph-platform/components",
|
||||
"concepts/langgraph_server.md": "https://docs.langchain.com/langgraph-platform/langgraph-server",
|
||||
"concepts/langgraph_data_plane.md": "https://docs.langchain.com/langgraph-platform/data-plane",
|
||||
"concepts/langgraph_control_plane.md": "https://docs.langchain.com/langgraph-platform/control-plane",
|
||||
"concepts/langgraph_cli.md": "https://docs.langchain.com/langgraph-platform/langgraph-cli",
|
||||
"concepts/langgraph_studio.md": "https://docs.langchain.com/langgraph-platform/langgraph-studio",
|
||||
"cloud/how-tos/studio/quick_start.md": "https://docs.langchain.com/langgraph-platform/quick-start-studio",
|
||||
"cloud/how-tos/invoke_studio.md": "https://docs.langchain.com/langgraph-platform/invoke-studio",
|
||||
"cloud/how-tos/studio/manage_assistants.md": "https://docs.langchain.com/langgraph-platform/manage-assistants-studio",
|
||||
"cloud/how-tos/threads_studio.md": "https://docs.langchain.com/langgraph-platform/threads-studio",
|
||||
"cloud/how-tos/iterate_graph_studio.md": "https://docs.langchain.com/langgraph-platform/iterate-graph-studio",
|
||||
"cloud/how-tos/studio/run_evals.md": "https://docs.langchain.com/langgraph-platform/run-evals-studio",
|
||||
"cloud/how-tos/clone_traces_studio.md": "https://docs.langchain.com/langgraph-platform/clone-traces-studio",
|
||||
"cloud/how-tos/datasets_studio.md": "https://docs.langchain.com/langgraph-platform/datasets-studio",
|
||||
"concepts/sdk.md": "https://docs.langchain.com/langgraph-platform/sdk",
|
||||
"concepts/plans.md": "https://docs.langchain.com/langgraph-platform/plans",
|
||||
"concepts/application_structure.md": "https://docs.langchain.com/langgraph-platform/application-structure",
|
||||
"concepts/scalability_and_resilience.md": "https://docs.langchain.com/langgraph-platform/scalability-and-resilience",
|
||||
"concepts/auth.md": "https://docs.langchain.com/langgraph-platform/auth",
|
||||
"how-tos/auth/custom_auth.md": "https://docs.langchain.com/langgraph-platform/custom-auth",
|
||||
"how-tos/auth/openapi_security.md": "https://docs.langchain.com/langgraph-platform/openapi-security",
|
||||
"concepts/assistants.md": "https://docs.langchain.com/langgraph-platform/assistants",
|
||||
"cloud/how-tos/configuration_cloud.md": "https://docs.langchain.com/langgraph-platform/configuration-cloud",
|
||||
"cloud/how-tos/use_threads.md": "https://docs.langchain.com/langgraph-platform/use-threads",
|
||||
"cloud/how-tos/background_run.md": "https://docs.langchain.com/langgraph-platform/background-run",
|
||||
"cloud/how-tos/same-thread.md": "https://docs.langchain.com/langgraph-platform/same-thread",
|
||||
"cloud/how-tos/stateless_runs.md": "https://docs.langchain.com/langgraph-platform/stateless-runs",
|
||||
"cloud/how-tos/configurable_headers.md": "https://docs.langchain.com/langgraph-platform/configurable-headers",
|
||||
"concepts/double_texting.md": "https://docs.langchain.com/langgraph-platform/double-texting",
|
||||
"cloud/how-tos/interrupt_concurrent.md": "https://docs.langchain.com/langgraph-platform/interrupt-concurrent",
|
||||
"cloud/how-tos/rollback_concurrent.md": "https://docs.langchain.com/langgraph-platform/rollback-concurrent",
|
||||
"cloud/how-tos/reject_concurrent.md": "https://docs.langchain.com/langgraph-platform/reject-concurrent",
|
||||
"cloud/how-tos/enqueue_concurrent.md": "https://docs.langchain.com/langgraph-platform/enqueue-concurrent",
|
||||
"cloud/concepts/webhooks.md": "https://docs.langchain.com/langgraph-platform/use-webhooks",
|
||||
"cloud/how-tos/webhooks.md": "https://docs.langchain.com/langgraph-platform/use-webhooks",
|
||||
"cloud/concepts/cron_jobs.md": "https://docs.langchain.com/langgraph-platform/cron-jobs",
|
||||
"cloud/how-tos/cron_jobs.md": "https://docs.langchain.com/langgraph-platform/cron-jobs",
|
||||
"how-tos/http/custom_lifespan.md": "https://docs.langchain.com/langgraph-platform/custom-lifespan",
|
||||
"how-tos/http/custom_middleware.md": "https://docs.langchain.com/langgraph-platform/custom-middleware",
|
||||
"how-tos/http/custom_routes.md": "https://docs.langchain.com/langgraph-platform/custom-routes",
|
||||
"cloud/concepts/data_storage_and_privacy.md": "https://docs.langchain.com/langgraph-platform/data-storage-and-privacy",
|
||||
"cloud/deployment/semantic_search.md": "https://docs.langchain.com/langgraph-platform/semantic-search",
|
||||
"how-tos/ttl/configure_ttl.md": "https://docs.langchain.com/langgraph-platform/configure-ttl",
|
||||
"concepts/deployment_options.md": "https://docs.langchain.com/langgraph-platform/deployment-options",
|
||||
"cloud/quick_start.md": "https://docs.langchain.com/langgraph-platform/deployment-quickstart",
|
||||
"cloud/deployment/setup.md": "https://docs.langchain.com/langgraph-platform/setup-app-requirements-txt",
|
||||
"cloud/deployment/setup_pyproject.md": "https://docs.langchain.com/langgraph-platform/setup-pyproject",
|
||||
"cloud/deployment/setup_javascript.md": "https://docs.langchain.com/langgraph-platform/setup-javascript",
|
||||
"cloud/deployment/custom_docker.md": "https://docs.langchain.com/langgraph-platform/custom-docker",
|
||||
"cloud/deployment/graph_rebuild.md": "https://docs.langchain.com/langgraph-platform/graph-rebuild",
|
||||
"concepts/langgraph_cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
|
||||
"concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/hybrid",
|
||||
"concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/self-hosted",
|
||||
"concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langgraph-platform/self-hosted#standalone-server",
|
||||
"cloud/deployment/cloud.md": "https://docs.langchain.com/langgraph-platform/cloud",
|
||||
"cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-hybrid",
|
||||
"cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langgraph-platform/deploy-self-hosted-full-platform",
|
||||
"cloud/deployment/standalone_container.md": "https://docs.langchain.com/langgraph-platform/deploy-standalone-server",
|
||||
"concepts/server-mcp.md": "https://docs.langchain.com/langgraph-platform/server-mcp",
|
||||
"cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langgraph-platform/human-in-the-loop-time-travel",
|
||||
"cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langgraph-platform/add-human-in-the-loop",
|
||||
"cloud/deployment/egress.md": "https://docs.langchain.com/langgraph-platform/env-var",
|
||||
"cloud/how-tos/streaming.md": "https://docs.langchain.com/langgraph-platform/streaming",
|
||||
"cloud/reference/api/api_ref.md": "https://docs.langchain.com/langgraph-platform/server-api-ref",
|
||||
"cloud/reference/langgraph_server_changelog.md": "https://docs.langchain.com/langgraph-platform/langgraph-server-changelog",
|
||||
"cloud/reference/api/api_ref_control_plane.md": "https://docs.langchain.com/langgraph-platform/api-ref-control-plane",
|
||||
"cloud/reference/cli.md": "https://docs.langchain.com/langgraph-platform/cli",
|
||||
"cloud/reference/env_var.md": "https://docs.langchain.com/langgraph-platform/env-var",
|
||||
"troubleshooting/studio.md": "https://docs.langchain.com/langgraph-platform/troubleshooting-studio",
|
||||
"tutorials/auth/getting_started.md": "https://docs.langchain.com/langsmith/auth",
|
||||
"tutorials/auth/resource_auth.md": "https://docs.langchain.com/langsmith/resource-auth",
|
||||
"tutorials/auth/add_auth_server.md": "https://docs.langchain.com/langsmith/add-auth-server",
|
||||
"how-tos/use-remote-graph.md": "https://docs.langchain.com/langsmith/use-remote-graph",
|
||||
"how-tos/autogen-integration.md": "https://docs.langchain.com/langsmith/autogen-integration",
|
||||
"cloud/how-tos/use_stream_react.md": "https://docs.langchain.com/langsmith/use-stream-react",
|
||||
"cloud/how-tos/generative_ui_react.md": "https://docs.langchain.com/langsmith/generative-ui-react",
|
||||
"concepts/langgraph_platform.md": "https://docs.langchain.com/langsmith/deployments",
|
||||
"concepts/langgraph_components.md": "https://docs.langchain.com/langsmith/components",
|
||||
"concepts/langgraph_server.md": "https://docs.langchain.com/langsmith/langgraph-server",
|
||||
"concepts/langgraph_data_plane.md": "https://docs.langchain.com/langsmith/data-plane",
|
||||
"concepts/langgraph_control_plane.md": "https://docs.langchain.com/langsmith/control-plane",
|
||||
"concepts/langgraph_cli.md": "https://docs.langchain.com/langsmith/langgraph-cli",
|
||||
"concepts/langgraph_studio.md": "https://docs.langchain.com/langsmith/studio",
|
||||
"cloud/how-tos/studio/quick_start.md": "https://docs.langchain.com/langsmith/quick-start-studio",
|
||||
"cloud/how-tos/invoke_studio.md": "https://docs.langchain.com/langsmith/use-studio#run-application",
|
||||
"cloud/how-tos/studio/manage_assistants.md": "https://docs.langchain.com/langsmith/use-studio#manage-assistants",
|
||||
"cloud/how-tos/threads_studio.md": "https://docs.langchain.com/langsmith/use-studio#manage-threads",
|
||||
"cloud/how-tos/iterate_graph_studio.md": "https://docs.langchain.com/langsmith/observability-studio#iterate-on-prompts",
|
||||
"cloud/how-tos/studio/run_evals.md": "https://docs.langchain.com/langsmith/observability-studio#run-experiments-over-a-dataset",
|
||||
"cloud/how-tos/clone_traces_studio.md": "https://docs.langchain.com/langsmith/observability-studio#debug-langsmith-traces",
|
||||
"cloud/how-tos/datasets_studio.md": "https://docs.langchain.com/langsmith/observability-studio#add-node-to-dataset",
|
||||
"concepts/sdk.md": "https://docs.langchain.com/langsmith/sdk",
|
||||
"concepts/plans.md": "https://langchain.com/pricing",
|
||||
"concepts/application_structure.md": "https://docs.langchain.com/langsmith/application-structure",
|
||||
"concepts/scalability_and_resilience.md": "https://docs.langchain.com/langsmith/scalability-and-resilience",
|
||||
"concepts/auth.md": "https://docs.langchain.com/langsmith/authentication-methods",
|
||||
"how-tos/auth/custom_auth.md": "https://docs.langchain.com/langsmith/custom-auth",
|
||||
"how-tos/auth/openapi_security.md": "https://docs.langchain.com/langsmith/openapi-security",
|
||||
"concepts/assistants.md": "https://docs.langchain.com/langsmith/assistants",
|
||||
"cloud/how-tos/configuration_cloud.md": "https://docs.langchain.com/langsmith/cloud",
|
||||
"cloud/how-tos/use_threads.md": "https://docs.langchain.com/langsmith/use-threads",
|
||||
"cloud/how-tos/background_run.md": "https://docs.langchain.com/langsmith/background-run",
|
||||
"cloud/how-tos/same-thread.md": "https://docs.langchain.com/langsmith/same-thread",
|
||||
"cloud/how-tos/stateless_runs.md": "https://docs.langchain.com/langsmith/stateless-runs",
|
||||
"cloud/how-tos/configurable_headers.md": "https://docs.langchain.com/langsmith/configurable-headers",
|
||||
"concepts/double_texting.md": "https://docs.langchain.com/langsmith/double-texting",
|
||||
"cloud/how-tos/interrupt_concurrent.md": "https://docs.langchain.com/langsmith/interrupt-concurrent",
|
||||
"cloud/how-tos/rollback_concurrent.md": "https://docs.langchain.com/langsmith/rollback-concurrent",
|
||||
"cloud/how-tos/reject_concurrent.md": "https://docs.langchain.com/langsmith/reject-concurrent",
|
||||
"cloud/how-tos/enqueue_concurrent.md": "https://docs.langchain.com/langsmith/enqueue-concurrent",
|
||||
"cloud/concepts/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
|
||||
"cloud/how-tos/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
|
||||
"cloud/concepts/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
|
||||
"cloud/how-tos/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
|
||||
"how-tos/http/custom_lifespan.md": "https://docs.langchain.com/langsmith/custom-lifespan",
|
||||
"how-tos/http/custom_middleware.md": "https://docs.langchain.com/langsmith/custom-middleware",
|
||||
"how-tos/http/custom_routes.md": "https://docs.langchain.com/langsmith/custom-routes",
|
||||
"cloud/concepts/data_storage_and_privacy.md": "https://docs.langchain.com/langsmith/data-storage-and-privacy",
|
||||
"cloud/deployment/semantic_search.md": "https://docs.langchain.com/langsmith/semantic-search",
|
||||
"how-tos/ttl/configure_ttl.md": "https://docs.langchain.com/langsmith/configure-ttl",
|
||||
"concepts/deployment_options.md": "https://docs.langchain.com/langsmith/hosting",
|
||||
"cloud/quick_start.md": "https://docs.langchain.com/langsmith/deployment-quickstart",
|
||||
"cloud/deployment/setup.md": "https://docs.langchain.com/langsmith/setup-app-requirements-txt",
|
||||
"cloud/deployment/setup_pyproject.md": "https://docs.langchain.com/langsmith/setup-pyproject",
|
||||
"cloud/deployment/setup_javascript.md": "https://docs.langchain.com/langsmith/setup-javascript",
|
||||
"cloud/deployment/custom_docker.md": "https://docs.langchain.com/langsmith/custom-docker",
|
||||
"cloud/deployment/graph_rebuild.md": "https://docs.langchain.com/langsmith/graph-rebuild",
|
||||
"concepts/langgraph_cloud.md": "https://docs.langchain.com/langsmith/cloud",
|
||||
"concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/hybrid",
|
||||
"concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/self-hosted",
|
||||
"concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langsmith/self-hosted#standalone-server",
|
||||
"cloud/deployment/cloud.md": "https://docs.langchain.com/langsmith/cloud",
|
||||
"cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/deploy-hybrid",
|
||||
"cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/deploy-self-hosted-full-platform",
|
||||
"cloud/deployment/standalone_container.md": "https://docs.langchain.com/langsmith/deploy-standalone-server",
|
||||
"concepts/server-mcp.md": "https://docs.langchain.com/langsmith/server-mcp",
|
||||
"cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langsmith/human-in-the-loop-time-travel",
|
||||
"cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
|
||||
"cloud/deployment/egress.md": "https://docs.langchain.com/langsmith/env-var",
|
||||
"cloud/how-tos/streaming.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/reference/api/api_ref.md": "https://docs.langchain.com/langsmith/server-api-ref",
|
||||
"cloud/reference/langgraph_server_changelog.md": "https://docs.langchain.com/langsmith/langgraph-server-changelog",
|
||||
"cloud/reference/api/api_ref_control_plane.md": "https://docs.langchain.com/langsmith/api-ref-control-plane",
|
||||
"cloud/reference/cli.md": "https://docs.langchain.com/langsmith/cli",
|
||||
"cloud/reference/env_var.md": "https://docs.langchain.com/langsmith/env-var",
|
||||
"troubleshooting/studio.md": "https://docs.langchain.com/langsmith/troubleshooting-studio",
|
||||
}
|
||||
|
||||
|
||||
|
||||
@@ -33,7 +33,7 @@ LangGraph provides three ways to manage context, which combines the mutability a
|
||||
|
||||
**Static runtime context** represents immutable data like user metadata, tools, and database connections that are passed to an application at the start of a run via the `context` argument to `invoke`/`stream`. This data does not change during execution.
|
||||
|
||||
!!! version-added "New in LangGraph v0.6: `context` replaces `config['configurable']`"
|
||||
!!! version-added "Added in version 0.6.0: `context` replaces `config['configurable']`"
|
||||
|
||||
Runtime context is now passed to the `context` argument of `invoke`/`stream`,
|
||||
which replaces the previous pattern of passing application configuration to `config['configurable']`.
|
||||
|
||||
@@ -211,7 +211,7 @@ output = agent.invoke(
|
||||
print(output["messages"][-1].text())
|
||||
```
|
||||
|
||||
!!! version-added "New in LangGraph v0.6"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
|
||||
:::
|
||||
|
||||
@@ -351,11 +351,13 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
|
||||
:::python
|
||||
|
||||
1. **Implement a custom LangChain chat model**: Create a model conforming to the [LangChain chat model interface](https://python.langchain.com/docs/how_to/custom_chat_model/). This enables full compatibility with LangGraph's agents and workflows but requires understanding of the LangChain framework.
|
||||
|
||||
:::
|
||||
|
||||
:::js
|
||||
|
||||
1. **Implement a custom LangChain chat model**: Create a model conforming to the [LangChain chat model interface](https://js.langchain.com/docs/how_to/custom_chat/). This enables full compatibility with LangGraph's agents and workflows but requires understanding of the LangChain framework.
|
||||
|
||||
:::
|
||||
|
||||
2. **Direct invocation with custom streaming**: Use your model directly by [adding custom streaming logic](../how-tos/streaming.md#use-with-any-llm) with `StreamWriter`.
|
||||
@@ -371,6 +373,7 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
|
||||
- [Force model to call a specific tool](https://python.langchain.com/docs/how_to/tool_choice/)
|
||||
- [All chat model how-to guides](https://python.langchain.com/docs/how_to/#chat-models)
|
||||
- [Chat model integrations](https://python.langchain.com/docs/integrations/chat/)
|
||||
|
||||
:::
|
||||
|
||||
:::js
|
||||
@@ -381,4 +384,5 @@ If your desired LLM isn't officially supported by LangChain, consider these opti
|
||||
- [Force model to call a specific tool](https://js.langchain.com/docs/how_to/tool_choice/)
|
||||
- [All chat model how-to guides](https://js.langchain.com/docs/how_to/#chat-models)
|
||||
- [Chat model integrations](https://js.langchain.com/docs/integrations/chat/)
|
||||
|
||||
:::
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"openapi": "3.1.0",
|
||||
"info": {
|
||||
"title": "LangGraph Platform",
|
||||
"title": "LangSmith Deployment",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"tags": [
|
||||
|
||||
@@ -244,7 +244,7 @@ output = agent.invoke(
|
||||
print(output["messages"][-1].text())
|
||||
```
|
||||
|
||||
!!! version-added "New in langgraph>=0.6"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
|
||||
:::
|
||||
|
||||
|
||||
@@ -68,7 +68,7 @@ The server will start and open the studio in your browser:
|
||||
> - 📚 API Docs: http://127.0.0.1:2024/docs
|
||||
>
|
||||
> This in-memory server is designed for development and testing.
|
||||
> For production use, please use LangGraph Platform.
|
||||
> For production use, please use LangSmith Deployment.
|
||||
```
|
||||
|
||||
If you were to self-host this on the public internet, anyone could access it!
|
||||
|
||||
@@ -14,7 +14,7 @@ from langgraph.checkpoint.base import (
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
get_checkpoint_id,
|
||||
get_checkpoint_metadata,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol
|
||||
from psycopg import Capabilities, Connection, Cursor, Pipeline
|
||||
@@ -325,7 +325,7 @@ class PostgresSaver(BasePostgresSaver):
|
||||
checkpoint["id"],
|
||||
checkpoint_id,
|
||||
Jsonb(copy),
|
||||
Jsonb(get_checkpoint_metadata(config, metadata)),
|
||||
Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
|
||||
),
|
||||
)
|
||||
return next_config
|
||||
|
||||
@@ -14,7 +14,7 @@ from langgraph.checkpoint.base import (
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
get_checkpoint_id,
|
||||
get_checkpoint_metadata,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol
|
||||
from psycopg import AsyncConnection, AsyncCursor, AsyncPipeline, Capabilities
|
||||
@@ -283,7 +283,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
checkpoint["id"],
|
||||
checkpoint_id,
|
||||
Jsonb(copy),
|
||||
Jsonb(get_checkpoint_metadata(config, metadata)),
|
||||
Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
|
||||
),
|
||||
)
|
||||
return next_config
|
||||
|
||||
@@ -1,7 +1,9 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import random
|
||||
import warnings
|
||||
from collections.abc import Sequence
|
||||
from importlib.metadata import version as get_version
|
||||
from typing import Any, Optional, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
@@ -16,6 +18,18 @@ from psycopg.types.json import Jsonb
|
||||
|
||||
MetadataInput = Optional[dict[str, Any]]
|
||||
|
||||
try:
|
||||
major, minor = get_version("langgraph").split(".")[:2]
|
||||
if int(major) == 0 and int(minor) < 5:
|
||||
warnings.warn(
|
||||
"You're using incompatible versions of langgraph and checkpoint-postgres. Please upgrade langgraph to avoid unexpected behavior.",
|
||||
DeprecationWarning,
|
||||
stacklevel=2,
|
||||
)
|
||||
except Exception:
|
||||
# skip version check if running from source
|
||||
pass
|
||||
|
||||
"""
|
||||
To add a new migration, add a new string to the MIGRATIONS list.
|
||||
The position of the migration in the list is the version number.
|
||||
|
||||
@@ -12,7 +12,7 @@ from langgraph.checkpoint.base import (
|
||||
Checkpoint,
|
||||
CheckpointMetadata,
|
||||
CheckpointTuple,
|
||||
get_checkpoint_metadata,
|
||||
get_serializable_checkpoint_metadata,
|
||||
)
|
||||
from langgraph.checkpoint.serde.base import SerializerProtocol
|
||||
from langgraph.checkpoint.serde.types import TASKS
|
||||
@@ -441,7 +441,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
Jsonb(copy),
|
||||
Jsonb(get_checkpoint_metadata(config, metadata)),
|
||||
Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
|
||||
),
|
||||
)
|
||||
return next_config
|
||||
@@ -774,7 +774,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
thread_id,
|
||||
checkpoint_ns,
|
||||
Jsonb(copy),
|
||||
Jsonb(get_checkpoint_metadata(config, metadata)),
|
||||
Jsonb(get_serializable_checkpoint_metadata(config, metadata)),
|
||||
),
|
||||
)
|
||||
return next_config
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "2.0.23"
|
||||
version = "2.0.25"
|
||||
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
|
||||
authors = []
|
||||
requires-python = ">=3.9"
|
||||
@@ -12,7 +12,7 @@ readme = "README.md"
|
||||
license = "MIT"
|
||||
license-files = ['LICENSE']
|
||||
dependencies = [
|
||||
"langgraph-checkpoint>=2.0.21,<3.0.0",
|
||||
"langgraph-checkpoint>=2.1.2,<3.0.0",
|
||||
"orjson>=3.10.1",
|
||||
"psycopg>=3.2.0",
|
||||
"psycopg-pool>=3.2.0",
|
||||
|
||||
@@ -187,13 +187,11 @@ def test_data():
|
||||
metadata_1: CheckpointMetadata = {
|
||||
"source": "input",
|
||||
"step": 2,
|
||||
"writes": {},
|
||||
"score": 1,
|
||||
}
|
||||
metadata_2: CheckpointMetadata = {
|
||||
"source": "loop",
|
||||
"step": 1,
|
||||
"writes": {"foo": "bar"},
|
||||
"score": None,
|
||||
}
|
||||
metadata_3: CheckpointMetadata = {}
|
||||
@@ -220,7 +218,6 @@ async def test_combined_metadata(saver_name: str, test_data) -> None:
|
||||
metadata: CheckpointMetadata = {
|
||||
"source": "loop",
|
||||
"step": 1,
|
||||
"writes": {"foo": "bar"},
|
||||
"score": None,
|
||||
}
|
||||
await saver.aput(config, chkpnt, metadata, {})
|
||||
@@ -246,7 +243,6 @@ async def test_asearch(saver_name: str, test_data) -> None:
|
||||
query_1 = {"source": "input"} # search by 1 key
|
||||
query_2 = {
|
||||
"step": 1,
|
||||
"writes": {"foo": "bar"},
|
||||
} # search by multiple keys
|
||||
query_3: dict[str, Any] = {} # search by no keys, return all checkpoints
|
||||
query_4 = {"source": "update", "step": 1} # no match
|
||||
|
||||
@@ -169,13 +169,11 @@ def test_data():
|
||||
metadata_1: CheckpointMetadata = {
|
||||
"source": "input",
|
||||
"step": 2,
|
||||
"writes": {},
|
||||
"score": 1,
|
||||
}
|
||||
metadata_2: CheckpointMetadata = {
|
||||
"source": "loop",
|
||||
"step": 1,
|
||||
"writes": {"foo": "bar"},
|
||||
"score": None,
|
||||
}
|
||||
metadata_3: CheckpointMetadata = {}
|
||||
@@ -202,7 +200,6 @@ def test_combined_metadata(saver_name: str, test_data) -> None:
|
||||
metadata: CheckpointMetadata = {
|
||||
"source": "loop",
|
||||
"step": 1,
|
||||
"writes": {"foo": "bar"},
|
||||
"score": None,
|
||||
}
|
||||
saver.put(config, chkpnt, metadata, {})
|
||||
@@ -228,7 +225,6 @@ def test_search(saver_name: str, test_data) -> None:
|
||||
query_1 = {"source": "input"} # search by 1 key
|
||||
query_2 = {
|
||||
"step": 1,
|
||||
"writes": {"foo": "bar"},
|
||||
} # search by multiple keys
|
||||
query_3: dict[str, Any] = {} # search by no keys, return all checkpoints
|
||||
query_4 = {"source": "update", "step": 1} # no match
|
||||
|
||||
Generated
+2
-2
@@ -245,7 +245,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "2.1.1"
|
||||
version = "2.1.2"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
@@ -276,7 +276,7 @@ dev = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint-postgres"
|
||||
version = "2.0.23"
|
||||
version = "2.0.25"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langgraph-checkpoint" },
|
||||
|
||||
Generated
+1
-1
@@ -257,7 +257,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "2.1.1"
|
||||
version = "2.1.2"
|
||||
source = { editable = "../checkpoint" }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
|
||||
@@ -404,6 +404,16 @@ def get_checkpoint_metadata(
|
||||
return metadata
|
||||
|
||||
|
||||
def get_serializable_checkpoint_metadata(
|
||||
config: RunnableConfig, metadata: CheckpointMetadata
|
||||
) -> CheckpointMetadata:
|
||||
"""Get checkpoint metadata in a backwards-compatible manner."""
|
||||
checkpoint_metadata = get_checkpoint_metadata(config, metadata)
|
||||
if "writes" in checkpoint_metadata:
|
||||
checkpoint_metadata.pop("writes")
|
||||
return checkpoint_metadata
|
||||
|
||||
|
||||
"""
|
||||
Mapping from error type to error index.
|
||||
Regular writes just map to their index in the list of writes being saved.
|
||||
|
||||
@@ -39,7 +39,7 @@ class InMemorySaver(
|
||||
Only use `InMemorySaver` for debugging or testing purposes.
|
||||
For production use cases we recommend installing [langgraph-checkpoint-postgres](https://pypi.org/project/langgraph-checkpoint-postgres/) and using `PostgresSaver` / `AsyncPostgresSaver`.
|
||||
|
||||
If you are using the LangGraph Platform, no checkpointer needs to be specified. The correct managed checkpointer will be used automatically.
|
||||
If you are using LangSmith Deployment, no checkpointer needs to be specified. The correct managed checkpointer will be used automatically.
|
||||
|
||||
Args:
|
||||
serde: The serializer to use for serializing and deserializing checkpoints. Defaults to None.
|
||||
|
||||
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "2.1.1"
|
||||
version = "2.1.2"
|
||||
description = "Library with base interfaces for LangGraph checkpoint savers."
|
||||
authors = []
|
||||
requires-python = ">=3.9"
|
||||
|
||||
Generated
+1
-1
@@ -273,7 +273,7 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "langgraph-checkpoint"
|
||||
version = "2.1.1"
|
||||
version = "2.1.2"
|
||||
source = { editable = "." }
|
||||
dependencies = [
|
||||
{ name = "langchain-core" },
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.4.2"
|
||||
__version__ = "0.4.3"
|
||||
|
||||
@@ -216,7 +216,7 @@ def up(
|
||||
):
|
||||
click.secho("Starting LangGraph API server...", fg="green")
|
||||
click.secho(
|
||||
"""For local dev, requires env var LANGSMITH_API_KEY with access to LangGraph Platform.
|
||||
"""For local dev, requires env var LANGSMITH_API_KEY with access to LangSmith Deployment.
|
||||
For production use, requires a license key in env var LANGGRAPH_CLOUD_LICENSE_KEY.""",
|
||||
)
|
||||
with Runner() as runner, Progress(message="Pulling...") as set:
|
||||
@@ -584,7 +584,7 @@ def dockerfile(
|
||||
"\n",
|
||||
"# LANGSMITH_API_KEY=your-api-key",
|
||||
"\n",
|
||||
"# Or if you have a LangGraph Platform license key, "
|
||||
"# Or if you have a LangSmith Deployment license key, "
|
||||
"then uncomment the following line: ",
|
||||
"\n",
|
||||
"# LANGGRAPH_CLOUD_LICENSE_KEY=your-license-key",
|
||||
|
||||
@@ -713,7 +713,7 @@ ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
|
||||
assert additional_contexts == {}
|
||||
|
||||
|
||||
# node.js build used for LangGraph Platform
|
||||
# node.js build used for LangSmith Deployment
|
||||
def test_config_to_docker_nodejs():
|
||||
graphs = {"agent": "./graphs/agent.js:graph"}
|
||||
actual_docker_stdin, additional_contexts = config_to_docker(
|
||||
|
||||
@@ -63,7 +63,7 @@ LangGraph provides low-level supporting infrastructure for *any* long-running, s
|
||||
While LangGraph can be used standalone, it also integrates seamlessly with any LangChain product, giving developers a full suite of tools for building agents. To improve your LLM application development, pair LangGraph with:
|
||||
|
||||
- [LangSmith](http://www.langchain.com/langsmith) — Helpful for agent evals and observability. Debug poor-performing LLM app runs, evaluate agent trajectories, gain visibility in production, and improve performance over time.
|
||||
- [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
|
||||
- [LangSmith Deployment](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform/) — Deploy and scale agents effortlessly with a purpose-built deployment platform for long running, stateful workflows. Discover, reuse, configure, and share agents across teams — and iterate quickly with visual prototyping in [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio/).
|
||||
- [LangChain](https://python.langchain.com/docs/introduction/) – Provides integrations and composable components to streamline LLM application development.
|
||||
|
||||
> [!NOTE]
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections import ChainMap
|
||||
from collections.abc import Mapping, Sequence
|
||||
from collections.abc import Sequence
|
||||
from os import getenv
|
||||
from typing import Any, cast
|
||||
|
||||
@@ -312,22 +312,11 @@ 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 _exclude_as_metadata(key, value, _empty_metadata):
|
||||
continue
|
||||
_empty_metadata[key] = value
|
||||
if (
|
||||
not key.startswith("__")
|
||||
and isinstance(value, (str, int, float, bool))
|
||||
and key not in empty["metadata"]
|
||||
):
|
||||
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)
|
||||
)
|
||||
|
||||
@@ -89,13 +89,12 @@ def push_ui_message(
|
||||
The created UI message.
|
||||
|
||||
Example:
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
```python
|
||||
push_ui_message(
|
||||
name="component-name",
|
||||
props={"content": "Hello world"},
|
||||
)
|
||||
```
|
||||
|
||||
"""
|
||||
from langgraph._internal._constants import CONFIG_KEY_SEND
|
||||
@@ -146,10 +145,9 @@ def delete_ui_message(id: str, *, state_key: str = "ui") -> RemoveUIMessage:
|
||||
The remove UI message.
|
||||
|
||||
Example:
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
```python
|
||||
delete_ui_message("message-123")
|
||||
```
|
||||
|
||||
"""
|
||||
from langgraph._internal._constants import CONFIG_KEY_SEND
|
||||
@@ -183,13 +181,12 @@ def ui_message_reducer(
|
||||
Combined list of UI messages with removals applied.
|
||||
|
||||
Example:
|
||||
|
||||
.. code-block:: python
|
||||
|
||||
```python
|
||||
messages = ui_message_reducer(
|
||||
[{"type": "ui", "id": "1", "name": "Chat", "props": {}}],
|
||||
{"type": "remove-ui", "id": "1"},
|
||||
)
|
||||
```
|
||||
|
||||
"""
|
||||
if not isinstance(left, list):
|
||||
|
||||
@@ -242,9 +242,7 @@ 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] or (
|
||||
CONFIG_KEY_RESUMING in self.config[CONF] and self.is_nested
|
||||
)
|
||||
self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
|
||||
self._migrate_checkpoint = migrate_checkpoint
|
||||
self.trigger_to_nodes = trigger_to_nodes
|
||||
self.retry_policy = retry_policy
|
||||
|
||||
@@ -40,7 +40,7 @@ class TaskResultPayload(TypedDict):
|
||||
name: str
|
||||
error: str | None
|
||||
interrupts: list[dict]
|
||||
result: list[tuple[str, Any]]
|
||||
result: dict[str, Any]
|
||||
|
||||
|
||||
class CheckpointTask(TypedDict):
|
||||
@@ -77,6 +77,38 @@ def map_debug_tasks(tasks: Iterable[PregelExecutableTask]) -> Iterator[TaskPaylo
|
||||
}
|
||||
|
||||
|
||||
def is_multiple_channel_write(value: Any) -> bool:
|
||||
"""Return True if the payload already wraps multiple writes from the same channel."""
|
||||
return (
|
||||
isinstance(value, dict)
|
||||
and "$writes" in value
|
||||
and isinstance(value["$writes"], list)
|
||||
)
|
||||
|
||||
|
||||
def map_task_result_writes(writes: Sequence[tuple[str, Any]]) -> dict[str, Any]:
|
||||
"""Folds task writes into a result dict and aggregates multiple writes to the same channel.
|
||||
|
||||
If the channel contains a single write, we record the write in the result dict as `{channel: write}`
|
||||
If the channel contains multiple writes, we record the writes in the result dict as `{channel: {'$writes': [write1, write2, ...]}}`"""
|
||||
|
||||
result: dict[str, Any] = {}
|
||||
for channel, value in writes:
|
||||
existing = result.get(channel)
|
||||
|
||||
if existing is not None:
|
||||
channel_writes = (
|
||||
existing["$writes"]
|
||||
if is_multiple_channel_write(existing)
|
||||
else [existing]
|
||||
)
|
||||
channel_writes.append(value)
|
||||
result[channel] = {"$writes": channel_writes}
|
||||
else:
|
||||
result[channel] = value
|
||||
return result
|
||||
|
||||
|
||||
def map_debug_task_results(
|
||||
task_tup: tuple[PregelExecutableTask, Sequence[tuple[str, Any]]],
|
||||
stream_keys: str | Sequence[str],
|
||||
@@ -90,7 +122,9 @@ def map_debug_task_results(
|
||||
"id": task.id,
|
||||
"name": task.name,
|
||||
"error": next((w[1] for w in writes if w[0] == ERROR), None),
|
||||
"result": [w for w in writes if w[0] in stream_channels_list or w[0] == RETURN],
|
||||
"result": map_task_result_writes(
|
||||
[w for w in writes if w[0] in stream_channels_list or w[0] == RETURN]
|
||||
),
|
||||
"interrupts": [
|
||||
asdict(v)
|
||||
for w in writes
|
||||
@@ -196,54 +230,56 @@ def tasks_w_writes(
|
||||
),
|
||||
MISSING,
|
||||
)
|
||||
task_error = next(
|
||||
(exc for tid, n, exc in pending_writes if tid == task.id and n == ERROR),
|
||||
None,
|
||||
)
|
||||
task_interrupts = tuple(
|
||||
v
|
||||
for tid, n, vv in pending_writes
|
||||
if tid == task.id and n == INTERRUPT
|
||||
for v in (vv if isinstance(vv, Sequence) else [vv])
|
||||
)
|
||||
|
||||
task_writes = [
|
||||
(chan, val)
|
||||
for tid, chan, val in pending_writes
|
||||
if tid == task.id and chan not in (ERROR, INTERRUPT, RETURN)
|
||||
]
|
||||
|
||||
if rtn is not MISSING:
|
||||
task_result = rtn
|
||||
elif isinstance(output_keys, str):
|
||||
# unwrap single channel writes to just the write value
|
||||
filtered_writes = [
|
||||
(chan, val) for chan, val in task_writes if chan == output_keys
|
||||
]
|
||||
mapped_writes = map_task_result_writes(filtered_writes)
|
||||
task_result = mapped_writes.get(str(output_keys)) if mapped_writes else None
|
||||
else:
|
||||
if isinstance(output_keys, str):
|
||||
output_keys = [output_keys]
|
||||
# map task result writes to the desired output channels
|
||||
# repeateed writes to the same channel are aggregated into: {'$writes': [write1, write2, ...]}
|
||||
filtered_writes = [
|
||||
(chan, val) for chan, val in task_writes if chan in output_keys
|
||||
]
|
||||
mapped_writes = map_task_result_writes(filtered_writes)
|
||||
task_result = mapped_writes if filtered_writes else {}
|
||||
|
||||
has_writes = rtn is not MISSING or any(
|
||||
w[0] == task.id and w[1] not in (ERROR, INTERRUPT) for w in pending_writes
|
||||
)
|
||||
|
||||
out.append(
|
||||
PregelTask(
|
||||
task.id,
|
||||
task.name,
|
||||
task.path,
|
||||
next(
|
||||
(
|
||||
exc
|
||||
for tid, n, exc in pending_writes
|
||||
if tid == task.id and n == ERROR
|
||||
),
|
||||
None,
|
||||
),
|
||||
tuple(
|
||||
v
|
||||
for tid, n, vv in pending_writes
|
||||
if tid == task.id and n == INTERRUPT
|
||||
for v in (vv if isinstance(vv, Sequence) else [vv])
|
||||
),
|
||||
task_error,
|
||||
task_interrupts,
|
||||
states.get(task.id) if states else None,
|
||||
(
|
||||
rtn
|
||||
if rtn is not MISSING
|
||||
else next(
|
||||
(
|
||||
val
|
||||
for tid, chan, val in pending_writes
|
||||
if tid == task.id and chan == output_keys
|
||||
),
|
||||
None,
|
||||
)
|
||||
if isinstance(output_keys, str)
|
||||
else {
|
||||
chan: val
|
||||
for tid, chan, val in pending_writes
|
||||
if tid == task.id
|
||||
and (
|
||||
chan == output_keys
|
||||
if isinstance(output_keys, str)
|
||||
else chan in output_keys
|
||||
)
|
||||
}
|
||||
)
|
||||
if any(
|
||||
w[0] == task.id and w[1] not in (ERROR, INTERRUPT)
|
||||
for w in pending_writes
|
||||
)
|
||||
else None,
|
||||
task_result if has_writes else None,
|
||||
)
|
||||
)
|
||||
return tuple(out)
|
||||
|
||||
@@ -1695,12 +1695,10 @@ class Pregel(
|
||||
|
||||
return patch_checkpoint_map(next_config, saved.metadata)
|
||||
|
||||
# apply pending writes, if not on specific checkpoint
|
||||
if (
|
||||
CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
|
||||
and saved is not None
|
||||
and saved.pending_writes
|
||||
):
|
||||
# task ids can be provided in the StateUpdate, but if not,
|
||||
# we use the task id generated by prepare_next_tasks
|
||||
node_to_task_ids: dict[str, deque[str]] = defaultdict(deque)
|
||||
if saved is not None and saved.pending_writes is not None:
|
||||
# tasks for this checkpoint
|
||||
next_tasks = prepare_next_tasks(
|
||||
checkpoint,
|
||||
@@ -1716,6 +1714,10 @@ class Pregel(
|
||||
checkpointer=checkpointer,
|
||||
manager=None,
|
||||
)
|
||||
# collect task ids to reuse so we can properly attach task results
|
||||
for t in next_tasks.values():
|
||||
node_to_task_ids[t.name].append(t.id)
|
||||
|
||||
# apply null writes
|
||||
if null_writes := [
|
||||
w[1:] for w in saved.pending_writes or [] if w[0] == NULL_TASK_ID
|
||||
@@ -1797,8 +1799,14 @@ class Pregel(
|
||||
raise InvalidUpdateError(f"Node {as_node} has no writers")
|
||||
writes: deque[tuple[str, Any]] = deque()
|
||||
task = PregelTaskWrites((), as_node, writes, [INTERRUPT])
|
||||
task_id = provided_task_id or str(
|
||||
uuid5(UUID(checkpoint["id"]), INTERRUPT)
|
||||
# get the task ids that were prepared for this node
|
||||
# if a task id was provided in the StateUpdate, we use it
|
||||
# otherwise, we use the next available task id
|
||||
prepared_task_ids = node_to_task_ids.get(as_node, deque())
|
||||
task_id = provided_task_id or (
|
||||
prepared_task_ids.popleft()
|
||||
if prepared_task_ids
|
||||
else str(uuid5(UUID(checkpoint["id"]), INTERRUPT))
|
||||
)
|
||||
run_tasks.append(task)
|
||||
run_task_ids.append(task_id)
|
||||
@@ -2151,12 +2159,11 @@ class Pregel(
|
||||
return patch_checkpoint_map(
|
||||
next_config, saved.metadata if saved else None
|
||||
)
|
||||
# apply pending writes, if not on specific checkpoint
|
||||
if (
|
||||
CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
|
||||
and saved is not None
|
||||
and saved.pending_writes
|
||||
):
|
||||
|
||||
# task ids can be provided in the StateUpdate, but if not,
|
||||
# we use the task id generated by prepare_next_tasks
|
||||
node_to_task_ids: dict[str, deque[str]] = defaultdict(deque)
|
||||
if saved is not None and saved.pending_writes is not None:
|
||||
# tasks for this checkpoint
|
||||
next_tasks = prepare_next_tasks(
|
||||
checkpoint,
|
||||
@@ -2172,6 +2179,10 @@ class Pregel(
|
||||
checkpointer=checkpointer,
|
||||
manager=None,
|
||||
)
|
||||
# collect task ids to reuse so we can properly attach task results
|
||||
for t in next_tasks.values():
|
||||
node_to_task_ids[t.name].append(t.id)
|
||||
|
||||
# apply null writes
|
||||
if null_writes := [
|
||||
w[1:] for w in saved.pending_writes or [] if w[0] == NULL_TASK_ID
|
||||
@@ -2248,8 +2259,14 @@ class Pregel(
|
||||
raise InvalidUpdateError(f"Node {as_node} has no writers")
|
||||
writes: deque[tuple[str, Any]] = deque()
|
||||
task = PregelTaskWrites((), as_node, writes, [INTERRUPT])
|
||||
task_id = provided_task_id or str(
|
||||
uuid5(UUID(checkpoint["id"]), INTERRUPT)
|
||||
# get the task ids that were prepared for this node
|
||||
# if a task id was provided in the StateUpdate, we use it
|
||||
# otherwise, we use the next available task id
|
||||
prepared_task_ids = node_to_task_ids.get(as_node, deque())
|
||||
task_id = provided_task_id or (
|
||||
prepared_task_ids.popleft()
|
||||
if prepared_task_ids
|
||||
else str(uuid5(UUID(checkpoint["id"]), INTERRUPT))
|
||||
)
|
||||
run_tasks.append(task)
|
||||
run_task_ids.append(task_id)
|
||||
@@ -2445,7 +2462,7 @@ class Pregel(
|
||||
input: The input to the graph.
|
||||
config: The configuration to use for the run.
|
||||
context: The static context to use for the run.
|
||||
!!! version-added "Added in version 0.6.0."
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
stream_mode: The mode to stream output, defaults to `self.stream_mode`.
|
||||
Options are:
|
||||
|
||||
@@ -2711,7 +2728,7 @@ class Pregel(
|
||||
input: The input to the graph.
|
||||
config: The configuration to use for the run.
|
||||
context: The static context to use for the run.
|
||||
!!! version-added "Added in version 0.6.0."
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
stream_mode: The mode to stream output, defaults to `self.stream_mode`.
|
||||
Options are:
|
||||
|
||||
@@ -3043,7 +3060,7 @@ class Pregel(
|
||||
input: The input data for the graph. It can be a dictionary or any other type.
|
||||
config: Optional. The configuration for the graph run.
|
||||
context: The static context to use for the run.
|
||||
!!! version-added "Added in version 0.6.0."
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
stream_mode: Optional[str]. The stream mode for the graph run. Default is "values".
|
||||
print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
|
||||
output_keys: Optional. The output keys to retrieve from the graph run.
|
||||
@@ -3128,7 +3145,7 @@ class Pregel(
|
||||
input: The input data for the computation. It can be a dictionary or any other type.
|
||||
config: Optional. The configuration for the computation.
|
||||
context: The static context to use for the run.
|
||||
!!! version-added "Added in version 0.6.0."
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
stream_mode: Optional. The stream mode for the computation. Default is "values".
|
||||
print_mode: Accepts the same values as `stream_mode`, but only prints the output to the console, for debugging purposes. Does not affect the output of the graph in any way.
|
||||
output_keys: Optional. The output keys to include in the result. Default is None.
|
||||
|
||||
@@ -110,7 +110,7 @@ class RemoteGraph(PregelProtocol):
|
||||
APIs that implement the LangGraph Server API specification.
|
||||
|
||||
For example, the `RemoteGraph` class can be used to call APIs from deployments
|
||||
on LangGraph Platform.
|
||||
on LangSmith Deployment.
|
||||
|
||||
`RemoteGraph` behaves the same way as a `Graph` and can be used directly as
|
||||
a node in another `Graph`.
|
||||
|
||||
@@ -106,7 +106,7 @@ else:
|
||||
class RetryPolicy(NamedTuple):
|
||||
"""Configuration for retrying nodes.
|
||||
|
||||
!!! version-added "Added in version 0.2.24."
|
||||
!!! version-added "Added in version 0.2.24"
|
||||
"""
|
||||
|
||||
initial_interval: float = 0.5
|
||||
@@ -148,7 +148,7 @@ _DEFAULT_INTERRUPT_ID = "placeholder-id"
|
||||
class Interrupt:
|
||||
"""Information about an interrupt that occurred in a node.
|
||||
|
||||
!!! version-added "Added in version 0.2.24."
|
||||
!!! version-added "Added in version 0.2.24"
|
||||
|
||||
!!! version-changed "Changed in version v0.4.0"
|
||||
* `interrupt_id` was introduced as a property
|
||||
@@ -349,7 +349,7 @@ N = TypeVar("N", bound=Hashable)
|
||||
class Command(Generic[N], ToolOutputMixin):
|
||||
"""One or more commands to update the graph's state and send messages to nodes.
|
||||
|
||||
!!! version-added "Added in version 0.2.24."
|
||||
!!! version-added "Added in version 0.2.24"
|
||||
|
||||
Args:
|
||||
graph: graph to send the command to. Supported values are:
|
||||
|
||||
@@ -4,10 +4,10 @@ build-backend = "hatchling.build"
|
||||
|
||||
[project]
|
||||
name = "langgraph"
|
||||
version = "1.0.0a4"
|
||||
version = "0.6.10"
|
||||
description = "Building stateful, multi-actor applications with LLMs"
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
requires-python = ">=3.9"
|
||||
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==0.7.0a2",
|
||||
"langgraph-prebuilt>=0.6.0,<0.7.0",
|
||||
"xxhash>=3.5.0",
|
||||
"pydantic>=2.7.4",
|
||||
]
|
||||
@@ -37,7 +37,6 @@ dev = [
|
||||
"jupyter",
|
||||
"pytest-xdist[psutil]",
|
||||
"pytest-repeat",
|
||||
"langchain-core==1.0.0a1",
|
||||
"langgraph-prebuilt",
|
||||
"langgraph-checkpoint",
|
||||
"langgraph-checkpoint-sqlite",
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -74,26 +74,17 @@ class FakeChatModel(GenericFakeChatModel):
|
||||
assert isinstance(content, str)
|
||||
content_chunks = cast(list[str], re.split(r"(\s)", content))
|
||||
|
||||
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)
|
||||
)
|
||||
for token in content_chunks:
|
||||
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_position="last")
|
||||
)
|
||||
chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
|
||||
if run_manager:
|
||||
run_manager.on_llm_new_token("", chunk=chunk)
|
||||
yield chunk
|
||||
@@ -131,27 +122,17 @@ class FakeChatModel(GenericFakeChatModel):
|
||||
assert isinstance(content, str)
|
||||
content_chunks = cast(list[str], re.split(r"(\s)", content))
|
||||
|
||||
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)
|
||||
)
|
||||
|
||||
for token in content_chunks:
|
||||
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_position="last")
|
||||
)
|
||||
chunk = ChatGenerationChunk(message=AIMessageChunk(**args))
|
||||
if run_manager:
|
||||
await run_manager.on_llm_new_token("", chunk=chunk)
|
||||
yield chunk
|
||||
|
||||
@@ -1387,7 +1387,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"type": "tool_call_chunk",
|
||||
}
|
||||
],
|
||||
chunk_position="last",
|
||||
),
|
||||
{
|
||||
"langgraph_step": 1,
|
||||
@@ -1447,7 +1446,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
"type": "tool_call_chunk",
|
||||
},
|
||||
],
|
||||
chunk_position="last",
|
||||
),
|
||||
{
|
||||
"langgraph_step": 3,
|
||||
@@ -1496,7 +1494,6 @@ def test_prebuilt_tool_chat(snapshot: SnapshotAssertion) -> None:
|
||||
(
|
||||
_AnyIdAIMessageChunk(
|
||||
content="answer",
|
||||
chunk_position="last",
|
||||
),
|
||||
{
|
||||
"langgraph_step": 5,
|
||||
@@ -4026,7 +4023,9 @@ def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "rewrite_query",
|
||||
"result": [("query", "query: what is weather in sf")],
|
||||
"result": {
|
||||
"query": "query: what is weather in sf",
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
@@ -4074,7 +4073,9 @@ def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "retriever_two",
|
||||
"result": [("docs", ["doc3", "doc4"])],
|
||||
"result": {
|
||||
"docs": ["doc3", "doc4"],
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
@@ -4093,7 +4094,9 @@ def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "retriever_one",
|
||||
"result": [("docs", ["doc1", "doc2"])],
|
||||
"result": {
|
||||
"docs": ["doc1", "doc2"],
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
@@ -4133,7 +4136,9 @@ def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "qa",
|
||||
"result": [("answer", "doc1,doc2,doc3,doc4")],
|
||||
"result": {
|
||||
"answer": "doc1,doc2,doc3,doc4",
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
|
||||
@@ -1140,7 +1140,6 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"type": "tool_call_chunk",
|
||||
}
|
||||
],
|
||||
chunk_position="last",
|
||||
),
|
||||
{
|
||||
"langgraph_step": 1,
|
||||
@@ -1200,7 +1199,6 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
"type": "tool_call_chunk",
|
||||
},
|
||||
],
|
||||
chunk_position="last",
|
||||
),
|
||||
{
|
||||
"langgraph_step": 3,
|
||||
@@ -1249,7 +1247,6 @@ async def test_prebuilt_tool_chat() -> None:
|
||||
(
|
||||
_AnyIdAIMessageChunk(
|
||||
content="answer",
|
||||
chunk_position="last",
|
||||
),
|
||||
{
|
||||
"langgraph_step": 5,
|
||||
@@ -2570,7 +2567,9 @@ async def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "rewrite_query",
|
||||
"result": [("query", "query: what is weather in sf")],
|
||||
"result": {
|
||||
"query": "query: what is weather in sf",
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
@@ -2618,7 +2617,9 @@ async def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "retriever_two",
|
||||
"result": [("docs", ["doc3", "doc4"])],
|
||||
"result": {
|
||||
"docs": ["doc3", "doc4"],
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
@@ -2637,7 +2638,9 @@ async def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "retriever_one",
|
||||
"result": [("docs", ["doc1", "doc2"])],
|
||||
"result": {
|
||||
"docs": ["doc1", "doc2"],
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
@@ -2677,7 +2680,9 @@ async def test_in_one_fan_out_out_one_graph_state() -> None:
|
||||
"payload": {
|
||||
"id": AnyStr(),
|
||||
"name": "qa",
|
||||
"result": [("answer", "doc1,doc2,doc3,doc4")],
|
||||
"result": {
|
||||
"answer": "doc1,doc2,doc3,doc4",
|
||||
},
|
||||
"error": None,
|
||||
"interrupts": [],
|
||||
},
|
||||
|
||||
@@ -20,10 +20,7 @@ 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("".join(c for c in v if c.isdigit()))
|
||||
for v in langchain_core.__version__.split(".")
|
||||
)
|
||||
_, CORE_MINOR, CORE_PATCH = (int(v) for v in langchain_core.__version__.split("."))
|
||||
|
||||
|
||||
def test_add_single_message():
|
||||
|
||||
@@ -2119,7 +2119,9 @@ def test_in_one_fan_out_state_graph_defer_node(
|
||||
"id": AnyStr(),
|
||||
"name": "rewrite_query",
|
||||
"error": None,
|
||||
"result": [("query", "query: what is weather in sf")],
|
||||
"result": {
|
||||
"query": "query: what is weather in sf",
|
||||
},
|
||||
"interrupts": [],
|
||||
},
|
||||
},
|
||||
@@ -2153,7 +2155,9 @@ def test_in_one_fan_out_state_graph_defer_node(
|
||||
"id": AnyStr(),
|
||||
"name": "retriever_one",
|
||||
"error": None,
|
||||
"result": [("docs", ["doc1", "doc2"])],
|
||||
"result": {
|
||||
"docs": ["doc1", "doc2"],
|
||||
},
|
||||
"interrupts": [],
|
||||
},
|
||||
},
|
||||
@@ -2165,7 +2169,9 @@ def test_in_one_fan_out_state_graph_defer_node(
|
||||
"id": AnyStr(),
|
||||
"name": "retriever_two",
|
||||
"error": None,
|
||||
"result": [("docs", ["doc3", "doc4"])],
|
||||
"result": {
|
||||
"docs": ["doc3", "doc4"],
|
||||
},
|
||||
"interrupts": [],
|
||||
},
|
||||
},
|
||||
@@ -2191,7 +2197,9 @@ def test_in_one_fan_out_state_graph_defer_node(
|
||||
"id": AnyStr(),
|
||||
"name": "analyzer_one",
|
||||
"error": None,
|
||||
"result": [("query", "analyzed: query: what is weather in sf")],
|
||||
"result": {
|
||||
"query": "analyzed: query: what is weather in sf",
|
||||
},
|
||||
"interrupts": [],
|
||||
},
|
||||
},
|
||||
@@ -2219,7 +2227,9 @@ def test_in_one_fan_out_state_graph_defer_node(
|
||||
"id": AnyStr(),
|
||||
"name": "qa",
|
||||
"error": None,
|
||||
"result": [("answer", "doc1,doc2,doc3,doc4")],
|
||||
"result": {
|
||||
"answer": "doc1,doc2,doc3,doc4",
|
||||
},
|
||||
"interrupts": [],
|
||||
},
|
||||
},
|
||||
@@ -3445,73 +3455,6 @@ 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:
|
||||
@@ -5606,12 +5549,9 @@ def test_falsy_return_from_task(sync_checkpointer: BaseCheckpointSaver):
|
||||
"id": AnyStr(),
|
||||
"interrupts": [],
|
||||
"name": "falsy_task",
|
||||
"result": [
|
||||
(
|
||||
"__return__",
|
||||
False,
|
||||
),
|
||||
],
|
||||
"result": {
|
||||
"__return__": False,
|
||||
},
|
||||
},
|
||||
"step": 0,
|
||||
"timestamp": AnyStr(),
|
||||
@@ -5628,7 +5568,7 @@ def test_falsy_return_from_task(sync_checkpointer: BaseCheckpointSaver):
|
||||
},
|
||||
],
|
||||
"name": "graph",
|
||||
"result": [],
|
||||
"result": {},
|
||||
},
|
||||
"step": 0,
|
||||
"timestamp": AnyStr(),
|
||||
@@ -5714,12 +5654,9 @@ def test_falsy_return_from_task(sync_checkpointer: BaseCheckpointSaver):
|
||||
"id": AnyStr(),
|
||||
"interrupts": [],
|
||||
"name": "graph",
|
||||
"result": [
|
||||
(
|
||||
"__end__",
|
||||
None,
|
||||
),
|
||||
],
|
||||
"result": {
|
||||
"__end__": None,
|
||||
},
|
||||
},
|
||||
"step": 0,
|
||||
"timestamp": AnyStr(),
|
||||
@@ -6664,7 +6601,7 @@ def test_tags_stream_mode_messages() -> None:
|
||||
)
|
||||
) == [
|
||||
(
|
||||
_AnyIdAIMessageChunk(content="foo", chunk_position="last"),
|
||||
_AnyIdAIMessageChunk(content="foo"),
|
||||
{
|
||||
"langgraph_step": 1,
|
||||
"langgraph_node": "call_model",
|
||||
@@ -8516,3 +8453,163 @@ def test_interrupt_stream_mode_values():
|
||||
|
||||
result = [*app.stream(State(), stream_mode="values")]
|
||||
assert "__interrupt__" in result[-1]
|
||||
|
||||
|
||||
def test_supersteps_populate_task_results(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
class State(TypedDict):
|
||||
num: int
|
||||
text: str
|
||||
|
||||
def double(state: State) -> State:
|
||||
return {"num": state["num"] * 2, "text": state["text"] * 2}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("double", double)
|
||||
.add_edge(START, "double")
|
||||
.add_edge("double", END)
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
def first_task_result(history: list[StateSnapshot], node: str) -> Any:
|
||||
for s in history:
|
||||
for t in s.tasks:
|
||||
if t.name == node:
|
||||
return t.result
|
||||
return None
|
||||
|
||||
# reference run with invoke
|
||||
ref_cfg = {"configurable": {"thread_id": "ref"}}
|
||||
graph.invoke({"num": 1, "text": "one"}, ref_cfg)
|
||||
ref_history = list(graph.get_state_history(ref_cfg))
|
||||
|
||||
ref_start_result = first_task_result(ref_history, "__start__")
|
||||
ref_double_result = first_task_result(ref_history, "double")
|
||||
assert ref_start_result == {"num": 1, "text": "one"}
|
||||
assert ref_double_result == {"num": 2, "text": "oneone"}
|
||||
|
||||
# using supersteps
|
||||
bulk_cfg = {"configurable": {"thread_id": "bulk"}}
|
||||
graph.bulk_update_state(
|
||||
bulk_cfg,
|
||||
[
|
||||
[StateUpdate(values={}, as_node="__input__")],
|
||||
[StateUpdate(values={"num": 1, "text": "one"}, as_node="__start__")],
|
||||
[StateUpdate(values={"num": 2, "text": "oneone"}, as_node="double")],
|
||||
],
|
||||
)
|
||||
bulk_history = list(graph.get_state_history(bulk_cfg))
|
||||
|
||||
bulk_start_result = first_task_result(bulk_history, "__start__")
|
||||
bulk_double_result = first_task_result(bulk_history, "double")
|
||||
|
||||
assert bulk_start_result == ref_start_result == {"num": 1, "text": "one"}
|
||||
assert bulk_double_result == ref_double_result == {"num": 2, "text": "oneone"}
|
||||
|
||||
|
||||
def test_multiple_writes_same_channel_from_same_node(
|
||||
sync_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
"""Test that a node can write multiple times to the same channel and that writes are ordered, reduced, and reflected in streamed events and state history."""
|
||||
|
||||
class State(TypedDict):
|
||||
foo: Annotated[str, lambda a, b: ", ".join([x for x in [a, b] if x])]
|
||||
|
||||
def one(_: State) -> Command:
|
||||
return Command(update=[("foo", "one.0"), ("foo", "one.1")])
|
||||
|
||||
def two(_: State) -> State:
|
||||
return {"foo": "two"}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("one", one)
|
||||
.add_node("two", two)
|
||||
.add_edge(START, "one")
|
||||
.add_edge("one", "two")
|
||||
.add_edge("two", END)
|
||||
.compile(checkpointer=sync_checkpointer)
|
||||
)
|
||||
|
||||
config = {"configurable": {"thread_id": "1"}}
|
||||
|
||||
events = [
|
||||
(ns, ev)
|
||||
for ns, ev in graph.stream(
|
||||
{"foo": "input"}, config, stream_mode=["updates", "tasks"]
|
||||
)
|
||||
]
|
||||
|
||||
assert events == [
|
||||
(
|
||||
"tasks",
|
||||
{
|
||||
"id": AnyStr(),
|
||||
"name": "one",
|
||||
"input": {"foo": "input"},
|
||||
"triggers": ("branch:to:one",),
|
||||
},
|
||||
),
|
||||
("updates", {"one": [{"foo": "one.0"}, {"foo": "one.1"}]}),
|
||||
(
|
||||
"tasks",
|
||||
{
|
||||
"id": AnyStr(),
|
||||
"name": "one",
|
||||
"error": None,
|
||||
"result": {"foo": {"$writes": ["one.0", "one.1"]}},
|
||||
"interrupts": [],
|
||||
},
|
||||
),
|
||||
(
|
||||
"tasks",
|
||||
{
|
||||
"id": AnyStr(),
|
||||
"name": "two",
|
||||
"input": {"foo": "input, one.0, one.1"},
|
||||
"triggers": ("branch:to:two",),
|
||||
},
|
||||
),
|
||||
("updates", {"two": {"foo": "two"}}),
|
||||
(
|
||||
"tasks",
|
||||
{
|
||||
"id": AnyStr(),
|
||||
"name": "two",
|
||||
"error": None,
|
||||
"result": {"foo": "two"},
|
||||
"interrupts": [],
|
||||
},
|
||||
),
|
||||
]
|
||||
|
||||
def map_snapshot(s: StateSnapshot) -> dict:
|
||||
return {
|
||||
"tasks": [{"name": t.name, "result": t.result} for t in s.tasks],
|
||||
"values": s.values,
|
||||
}
|
||||
|
||||
history = [map_snapshot(s) for s in graph.get_state_history(config)]
|
||||
|
||||
assert history == [
|
||||
{
|
||||
"tasks": [],
|
||||
"values": {"foo": "input, one.0, one.1, two"},
|
||||
},
|
||||
{
|
||||
"tasks": [{"name": "two", "result": {"foo": "two"}}],
|
||||
"values": {"foo": "input, one.0, one.1"},
|
||||
},
|
||||
{
|
||||
"tasks": [
|
||||
{"name": "one", "result": {"foo": {"$writes": ["one.0", "one.1"]}}}
|
||||
],
|
||||
"values": {"foo": "input"},
|
||||
},
|
||||
{
|
||||
"tasks": [{"name": "__start__", "result": {"foo": "input"}}],
|
||||
"values": {"foo": ""},
|
||||
},
|
||||
]
|
||||
|
||||
@@ -7548,7 +7548,7 @@ async def test_tags_stream_mode_messages() -> None:
|
||||
)
|
||||
] == [
|
||||
(
|
||||
_AnyIdAIMessageChunk(content="foo", chunk_position="last"),
|
||||
_AnyIdAIMessageChunk(content="foo"),
|
||||
{
|
||||
"langgraph_step": 1,
|
||||
"langgraph_node": "call_model",
|
||||
@@ -9211,3 +9211,58 @@ async def test_astream_waiter_cleanup_on_cancel(
|
||||
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)
|
||||
|
||||
|
||||
async def test_supersteps_populate_task_results(
|
||||
async_checkpointer: BaseCheckpointSaver,
|
||||
) -> None:
|
||||
class State(TypedDict):
|
||||
num: int
|
||||
text: str
|
||||
|
||||
def double(state: State) -> State:
|
||||
return {"num": state["num"] * 2, "text": state["text"] * 2}
|
||||
|
||||
graph = (
|
||||
StateGraph(State)
|
||||
.add_node("double", double)
|
||||
.add_edge(START, "double")
|
||||
.add_edge("double", END)
|
||||
.compile(checkpointer=async_checkpointer)
|
||||
)
|
||||
|
||||
# reference run with ainvoke
|
||||
ref_cfg = {"configurable": {"thread_id": "ref"}}
|
||||
await graph.ainvoke({"num": 1, "text": "one"}, ref_cfg)
|
||||
ref_history = [h async for h in graph.aget_state_history(ref_cfg)]
|
||||
|
||||
# Helper: pull first task result for a node name from history
|
||||
def first_task_result(history: list[StateSnapshot], node: str) -> Any:
|
||||
for s in history:
|
||||
for t in s.tasks:
|
||||
if t.name == node:
|
||||
return t.result
|
||||
return None
|
||||
|
||||
ref_start_result = first_task_result(ref_history, "__start__")
|
||||
ref_double_result = first_task_result(ref_history, "double")
|
||||
assert ref_start_result == {"num": 1, "text": "one"}
|
||||
assert ref_double_result == {"num": 2, "text": "oneone"}
|
||||
|
||||
# using supersteps
|
||||
bulk_cfg = {"configurable": {"thread_id": "bulk"}}
|
||||
await graph.abulk_update_state(
|
||||
bulk_cfg,
|
||||
[
|
||||
[StateUpdate(values={}, as_node="__input__")],
|
||||
[StateUpdate(values={"num": 1, "text": "one"}, as_node="__start__")],
|
||||
[StateUpdate(values={"num": 2, "text": "oneone"}, as_node="double")],
|
||||
],
|
||||
)
|
||||
bulk_history = [h async for h in graph.aget_state_history(bulk_cfg)]
|
||||
|
||||
bulk_start_result = first_task_result(bulk_history, "__start__")
|
||||
bulk_double_result = first_task_result(bulk_history, "double")
|
||||
|
||||
assert bulk_start_result == ref_start_result == {"num": 1, "text": "one"}
|
||||
assert bulk_double_result == ref_double_result == {"num": 2, "text": "oneone"}
|
||||
|
||||
@@ -864,7 +864,7 @@ async def test_ainvoke():
|
||||
|
||||
|
||||
@pytest.mark.skip(
|
||||
"Unskip this test to manually test the LangGraph Platform integration"
|
||||
"Unskip this test to manually test the LangSmith Deployment integration"
|
||||
)
|
||||
@pytest.mark.anyio
|
||||
async def test_langgraph_cloud_integration():
|
||||
|
||||
@@ -17,13 +17,16 @@ import langsmith
|
||||
import pytest
|
||||
from typing_extensions import NotRequired, Required, TypedDict
|
||||
|
||||
from langgraph._internal._config import _is_not_empty, ensure_config
|
||||
from langgraph._internal._config import _is_not_empty
|
||||
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
|
||||
@@ -298,24 +301,3 @@ 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
|
||||
|
||||
Generated
+373
-37
@@ -1,10 +1,11 @@
|
||||
version = 1
|
||||
revision = 2
|
||||
requires-python = ">=3.10"
|
||||
revision = 3
|
||||
requires-python = ">=3.9"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.14'",
|
||||
"python_full_version >= '3.11' and python_full_version < '3.14'",
|
||||
"python_full_version < '3.11'",
|
||||
"python_full_version == '3.10.*'",
|
||||
"python_full_version < '3.10'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -163,15 +164,15 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "beautifulsoup4"
|
||||
version = "4.14.1"
|
||||
version = "4.14.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
dependencies = [
|
||||
{ name = "soupsieve" },
|
||||
{ name = "typing-extensions" },
|
||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/bd/26/87ed168040d2c9fdf2fda7a137542f2b08bbab00f81983cc5427981315c6/beautifulsoup4-4.14.1.tar.gz", hash = "sha256:0c19f5b801d51cb13bd4c16ec697fa013209a3a88043c8ac3453144faf90b9b4", size = 625818, upload-time = "2025-09-29T09:30:21.157Z" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8a/bb/3387a5bf72121e1e2cd9223d20598c2fb599ef63517ff3e6ec526d8c4928/beautifulsoup4-4.14.0.tar.gz", hash = "sha256:e6150e53c8a52fd4f3b9b28839f8f0fb7c7f029d3c953a50b1762b0947c3cf85", size = 625697, upload-time = "2025-09-27T17:22:17.532Z" }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/4c/f3/06c9eb3c7231caef6ed24a5d11d6d9976557d0db2b575916bdd183fc051e/beautifulsoup4-4.14.1-py3-none-any.whl", hash = "sha256:76684bc3423d8787a09b46ca84a899f00e7aa9ef1c75913c65e4d28392c20907", size = 106525, upload-time = "2025-09-29T09:30:19.953Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/28/4f/3e23dfc8b4951103028d30f29e17aa703a87564abd71bc405964c36326dc/beautifulsoup4-4.14.0-py3-none-any.whl", hash = "sha256:aee96fbccdf2d2a8d1288b2afa51fc76bb60823b7881a50fb1ed5f711d1a7d73", size = 106466, upload-time = "2025-09-27T17:22:16.13Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -292,6 +293,18 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/a0/1d/ec1a60bd1a10daa292d3cd6bb0b359a81607154fb8165f3ec95fe003b85c/cffi-2.0.0-cp314-cp314t-win32.whl", hash = "sha256:1fc9ea04857caf665289b7a75923f2c6ed559b8298a1b8c49e59f7dd95c8481e", size = 180487, upload-time = "2025-09-08T23:23:40.423Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/bf/41/4c1168c74fac325c0c8156f04b6749c8b6a8f405bbf91413ba088359f60d/cffi-2.0.0-cp314-cp314t-win_amd64.whl", hash = "sha256:d68b6cef7827e8641e8ef16f4494edda8b36104d79773a334beaa1e3521430f6", size = 191726, upload-time = "2025-09-08T23:23:41.742Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ae/3a/dbeec9d1ee0844c679f6bb5d6ad4e9f198b1224f4e7a32825f47f6192b0c/cffi-2.0.0-cp314-cp314t-win_arm64.whl", hash = "sha256:0a1527a803f0a659de1af2e1fd700213caba79377e27e4693648c2923da066f9", size = 184195, upload-time = "2025-09-08T23:23:43.004Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c0/cc/08ed5a43f2996a16b462f64a7055c6e962803534924b9b2f1371d8c00b7b/cffi-2.0.0-cp39-cp39-macosx_10_13_x86_64.whl", hash = "sha256:fe562eb1a64e67dd297ccc4f5addea2501664954f2692b69a76449ec7913ecbf", size = 184288, upload-time = "2025-09-08T23:23:48.404Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3d/de/38d9726324e127f727b4ecc376bc85e505bfe61ef130eaf3f290c6847dd4/cffi-2.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:de8dad4425a6ca6e4e5e297b27b5c824ecc7581910bf9aee86cb6835e6812aa7", size = 180509, upload-time = "2025-09-08T23:23:49.73Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9b/13/c92e36358fbcc39cf0962e83223c9522154ee8630e1df7c0b3a39a8124e2/cffi-2.0.0-cp39-cp39-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:4647afc2f90d1ddd33441e5b0e85b16b12ddec4fca55f0d9671fef036ecca27c", size = 208813, upload-time = "2025-09-08T23:23:51.263Z" },
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||||
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{ 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" },
|
||||
]
|
||||
|
||||
@@ -1,5 +1,4 @@
|
||||
import inspect
|
||||
import warnings
|
||||
from typing import (
|
||||
Any,
|
||||
Awaitable,
|
||||
@@ -13,6 +12,7 @@ from typing import (
|
||||
cast,
|
||||
get_type_hints,
|
||||
)
|
||||
from warnings import warn
|
||||
|
||||
from langchain_core.language_models import (
|
||||
BaseChatModel,
|
||||
@@ -46,18 +46,19 @@ 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, deprecated
|
||||
from typing_extensions import Annotated, NotRequired, TypedDict
|
||||
|
||||
from langgraph.prebuilt.tool_node import ToolNode
|
||||
|
||||
StructuredResponse = Union[dict, BaseModel]
|
||||
StructuredResponseSchema = Union[dict, type[BaseModel]]
|
||||
F = TypeVar("F", bound=Callable[..., Any])
|
||||
|
||||
|
||||
@deprecated(
|
||||
"AgentState has been moved to langchain.agents. Please update your import to 'from langchain.agents import AgentState'.",
|
||||
category=LangGraphDeprecatedSinceV10,
|
||||
)
|
||||
# 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
|
||||
class AgentState(TypedDict):
|
||||
"""The state of the agent."""
|
||||
|
||||
@@ -66,10 +67,6 @@ 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."""
|
||||
|
||||
@@ -78,38 +75,16 @@ class AgentStatePydantic(BaseModel):
|
||||
remaining_steps: RemainingSteps = 25
|
||||
|
||||
|
||||
with warnings.catch_warnings():
|
||||
warnings.filterwarnings(
|
||||
"ignore",
|
||||
category=LangGraphDeprecatedSinceV10,
|
||||
message="AgentState has been moved to langchain.agents.*",
|
||||
)
|
||||
class AgentStateWithStructuredResponse(AgentState):
|
||||
"""The state of the agent with a structured response."""
|
||||
|
||||
@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
|
||||
structured_response: StructuredResponse
|
||||
|
||||
|
||||
with warnings.catch_warnings():
|
||||
warnings.filterwarnings(
|
||||
"ignore",
|
||||
category=LangGraphDeprecatedSinceV10,
|
||||
message="AgentStatePydantic has been moved to langchain.agents.*",
|
||||
)
|
||||
class AgentStateWithStructuredResponsePydantic(AgentStatePydantic):
|
||||
"""The state of the agent with a structured response."""
|
||||
|
||||
@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
|
||||
structured_response: StructuredResponse
|
||||
|
||||
|
||||
StateSchema = TypeVar("StateSchema", bound=Union[AgentState, AgentStatePydantic])
|
||||
@@ -270,10 +245,6 @@ 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,
|
||||
@@ -502,7 +473,7 @@ def create_react_agent(
|
||||
if (
|
||||
config_schema := deprecated_kwargs.pop("config_schema", MISSING)
|
||||
) is not MISSING:
|
||||
warnings.warn(
|
||||
warn(
|
||||
"`config_schema` is deprecated and will be removed. Please use `context_schema` instead.",
|
||||
category=LangGraphDeprecatedSinceV10,
|
||||
)
|
||||
|
||||
@@ -1,13 +1,8 @@
|
||||
from typing import Literal, Optional, Union
|
||||
|
||||
from langgraph.warnings import LangGraphDeprecatedSinceV10
|
||||
from typing_extensions import TypedDict, deprecated
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
@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.
|
||||
|
||||
@@ -26,10 +21,6 @@ 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.
|
||||
|
||||
@@ -44,10 +35,6 @@ 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.
|
||||
|
||||
|
||||
@@ -73,9 +73,8 @@ 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, deprecated, get_args, get_origin
|
||||
from typing_extensions import Annotated, get_args, get_origin
|
||||
|
||||
INVALID_TOOL_NAME_ERROR_TEMPLATE = (
|
||||
"Error: {requested_tool} is not a valid tool, try one of [{available_tools}]."
|
||||
@@ -236,10 +235,6 @@ 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.
|
||||
|
||||
@@ -855,10 +850,6 @@ 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.
|
||||
|
||||
@@ -933,10 +924,6 @@ 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.
|
||||
|
||||
|
||||
@@ -30,11 +30,9 @@ 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(
|
||||
@@ -46,10 +44,6 @@ 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 = "0.7.0a2"
|
||||
version = "0.6.4"
|
||||
description = "Library with high-level APIs for creating and executing LangGraph agents and tools."
|
||||
authors = []
|
||||
requires-python = ">=3.10"
|
||||
requires-python = ">=3.9"
|
||||
readme = "README.md"
|
||||
license = "MIT"
|
||||
license-files = ['LICENSE']
|
||||
@@ -28,7 +28,6 @@ dev = [
|
||||
"pytest-mock",
|
||||
"pytest-watcher",
|
||||
"mypy",
|
||||
"langchain-core",
|
||||
"langgraph",
|
||||
"langgraph-checkpoint",
|
||||
"langgraph-checkpoint-sqlite",
|
||||
|
||||
Generated
+119
-12
@@ -1,6 +1,6 @@
|
||||
version = 1
|
||||
revision = 2
|
||||
requires-python = ">=3.10"
|
||||
revision = 3
|
||||
requires-python = ">=3.9"
|
||||
|
||||
[[package]]
|
||||
name = "aiosqlite"
|
||||
@@ -117,6 +117,17 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/72/2a/aff5dd112b2f14bcc3462c312dce5445806bfc8ab3a7328555da95330e4b/charset_normalizer-3.4.3-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:d716a916938e03231e86e43782ca7878fb602a125a91e7acb8b5112e2e96ac16", size = 152224, upload-time = "2025-08-09T07:56:51.369Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b7/8c/9839225320046ed279c6e839d51f028342eb77c91c89b8ef2549f951f3ec/charset_normalizer-3.4.3-cp314-cp314-win32.whl", hash = "sha256:c6dbd0ccdda3a2ba7c2ecd9d77b37f3b5831687d8dc1b6ca5f56a4880cc7b7ce", size = 100086, upload-time = "2025-08-09T07:56:52.722Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ee/7a/36fbcf646e41f710ce0a563c1c9a343c6edf9be80786edeb15b6f62e17db/charset_normalizer-3.4.3-cp314-cp314-win_amd64.whl", hash = "sha256:73dc19b562516fc9bcf6e5d6e596df0b4eb98d87e4f79f3ae71840e6ed21361c", size = 107400, upload-time = "2025-08-09T07:56:55.172Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c2/ca/9a0983dd5c8e9733565cf3db4df2b0a2e9a82659fd8aa2a868ac6e4a991f/charset_normalizer-3.4.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:70bfc5f2c318afece2f5838ea5e4c3febada0be750fcf4775641052bbba14d05", size = 207520, upload-time = "2025-08-09T07:57:11.026Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/39/c6/99271dc37243a4f925b09090493fb96c9333d7992c6187f5cfe5312008d2/charset_normalizer-3.4.3-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:23b6b24d74478dc833444cbd927c338349d6ae852ba53a0d02a2de1fce45b96e", size = 147307, upload-time = "2025-08-09T07:57:12.4Z" },
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[[package]]
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||||
@@ -1,6 +1,6 @@
|
||||
# LangGraph Python SDK
|
||||
|
||||
This repository contains the Python SDK for interacting with the LangGraph Platform REST API.
|
||||
This repository contains the Python SDK for interacting with the LangSmith Deployment REST API.
|
||||
|
||||
## Quick Start
|
||||
|
||||
|
||||
@@ -160,7 +160,7 @@ def get_client(
|
||||
) -> LangGraphClient:
|
||||
"""Create and configure a LangGraphClient.
|
||||
|
||||
The client provides programmatic access to a LangGraph Platform deployment. It supports
|
||||
The client provides programmatic access to LangSmith Deployment. It supports
|
||||
both remote servers and local in-process connections (when running inside a LangGraph server).
|
||||
|
||||
Args:
|
||||
@@ -873,7 +873,7 @@ class AssistantsClient:
|
||||
config: Configuration to use for the graph.
|
||||
metadata: Metadata to add to assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
assistant_id: Assistant ID to use, will default to a random UUID if not provided.
|
||||
if_exists: How to handle duplicate creation. Defaults to 'raise' under the hood.
|
||||
Must be either 'raise' (raise error if duplicate), or 'do_nothing' (return existing assistant).
|
||||
@@ -944,7 +944,7 @@ class AssistantsClient:
|
||||
The graph ID is normally set in your langgraph.json configuration. If None, assistant will keep pointing to same graph.
|
||||
config: Configuration to use for the graph.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
metadata: Metadata to merge with existing assistant metadata.
|
||||
name: The new name for the assistant.
|
||||
headers: Optional custom headers to include with the request.
|
||||
@@ -1964,7 +1964,7 @@ class RunsClient:
|
||||
metadata: Metadata to assign to the run.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint: The checkpoint to resume from.
|
||||
checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
@@ -2174,7 +2174,7 @@ class RunsClient:
|
||||
metadata: Metadata to assign to the run.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint: The checkpoint to resume from.
|
||||
checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
@@ -2422,7 +2422,7 @@ class RunsClient:
|
||||
metadata: Metadata to assign to the run.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint: The checkpoint to resume from.
|
||||
checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
@@ -2883,7 +2883,7 @@ class CronClient:
|
||||
metadata: Metadata to assign to the cron job runs.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
|
||||
@@ -2965,7 +2965,7 @@ class CronClient:
|
||||
metadata: Metadata to assign to the cron job runs.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
|
||||
@@ -4131,7 +4131,7 @@ class SyncAssistantsClient:
|
||||
graph_id: The ID of the graph the assistant should use. The graph ID is normally set in your langgraph.json configuration.
|
||||
config: Configuration to use for the graph.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
metadata: Metadata to add to assistant.
|
||||
assistant_id: Assistant ID to use, will default to a random UUID if not provided.
|
||||
if_exists: How to handle duplicate creation. Defaults to 'raise' under the hood.
|
||||
@@ -4203,7 +4203,7 @@ class SyncAssistantsClient:
|
||||
The graph ID is normally set in your langgraph.json configuration. If None, assistant will keep pointing to same graph.
|
||||
config: Configuration to use for the graph.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
metadata: Metadata to merge with existing assistant metadata.
|
||||
name: The new name for the assistant.
|
||||
headers: Optional custom headers to include with the request.
|
||||
@@ -5198,7 +5198,7 @@ class SyncRunsClient:
|
||||
metadata: Metadata to assign to the run.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint: The checkpoint to resume from.
|
||||
checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
@@ -5404,7 +5404,7 @@ class SyncRunsClient:
|
||||
metadata: Metadata to assign to the run.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint: The checkpoint to resume from.
|
||||
checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
@@ -5652,7 +5652,7 @@ class SyncRunsClient:
|
||||
metadata: Metadata to assign to the run.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint: The checkpoint to resume from.
|
||||
checkpoint_during: (deprecated) Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
@@ -6093,7 +6093,7 @@ class SyncCronClient:
|
||||
metadata: Metadata to assign to the cron job runs.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
|
||||
@@ -6171,7 +6171,7 @@ class SyncCronClient:
|
||||
metadata: Metadata to assign to the cron job runs.
|
||||
config: The configuration for the assistant.
|
||||
context: Static context to add to the assistant.
|
||||
!!! version-added "Supported with langgraph>=0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
checkpoint_during: Whether to checkpoint during the run (or only at the end/interruption).
|
||||
interrupt_before: Nodes to interrupt immediately before they get executed.
|
||||
interrupt_after: Nodes to Nodes to interrupt immediately after they get executed.
|
||||
|
||||
Reference in New Issue
Block a user