mirror of
https://github.com/langchain-ai/langgraph.git
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Compare commits
19
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
 Asamu DavidandGitHub
|
3f400b38d1 | ||
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Sydney RunkleandGitHub
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6527df688c | ||
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Sydney RunkleandGitHub
|
aec841bd2a | ||
|
Sydney RunkleandGitHub
|
2d3121a17c | ||
|
Lauren Hirata SinghandGitHub
|
06f9142419 | ||
|
Lauren Hirata SinghandGitHub
|
a926450601 | ||
|
|
abb96c0e2f | ||
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d9e3d83894 | ||
|
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cedecd8ed6 | ||
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6bf9a7a4bc | ||
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bce1dcfcd2 | ||
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Sam CrowderandGitHub
|
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 | ||
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Caspar BroekhuizenandGitHub
|
420550501f | ||
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Sam CrowderandGitHub
|
a0599139b8 |
@@ -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
|
||||
|
||||
@@ -17,7 +17,6 @@ jobs:
|
||||
strategy:
|
||||
matrix:
|
||||
python-version:
|
||||
- "3.9"
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
@@ -27,7 +26,7 @@ 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
|
||||
|
||||
@@ -12,7 +12,6 @@ jobs:
|
||||
strategy:
|
||||
matrix:
|
||||
python-version:
|
||||
- "3.9"
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
@@ -25,7 +24,7 @@ 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
|
||||
|
||||
@@ -16,7 +16,6 @@ permissions:
|
||||
|
||||
jobs:
|
||||
build:
|
||||
if: github.ref == 'refs/heads/main'
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
outputs:
|
||||
@@ -27,7 +26,7 @@ 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
|
||||
|
||||
@@ -1,12 +1,9 @@
|
||||
name: Deploy Docs
|
||||
name: Deploy Docs Redirects
|
||||
|
||||
on:
|
||||
push:
|
||||
branches:
|
||||
- main
|
||||
pull_request:
|
||||
branches:
|
||||
- main
|
||||
workflow_dispatch:
|
||||
|
||||
permissions:
|
||||
@@ -23,18 +20,6 @@ defaults:
|
||||
working-directory: docs
|
||||
|
||||
jobs:
|
||||
get-changed-files:
|
||||
runs-on: ubuntu-latest
|
||||
outputs:
|
||||
changed-files: ${{ steps.changed-files.outputs.added_modified }}
|
||||
steps:
|
||||
- uses: actions/checkout@v5
|
||||
- name: Get changed files
|
||||
id: changed-files
|
||||
uses: Ana06/get-changed-files@v2.3.0
|
||||
with:
|
||||
filter: "docs/docs/**"
|
||||
|
||||
deploy:
|
||||
runs-on: ubuntu-latest
|
||||
timeout-minutes: 10 # Job will be cancelled if it runs for more than 10 minutes
|
||||
@@ -46,7 +31,7 @@ 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
|
||||
@@ -62,84 +47,21 @@ jobs:
|
||||
uv run pip install "git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
|
||||
fi
|
||||
|
||||
- name: Run unit tests
|
||||
# Run unit tests on the docs build pipeline
|
||||
run: make tests
|
||||
- name: Lint Docs
|
||||
# This step lints the docs using the existing linting set up.
|
||||
# It should be very fast and should not require any external services.
|
||||
run: make lint-docs
|
||||
- name: Build llms-text
|
||||
run: make llms-text
|
||||
- name: Build site
|
||||
run: |
|
||||
# If this is main branch, then we want to download stats. we do this
|
||||
# with the env variable DOWNLOAD_STATS=true
|
||||
if [ "${{ github.ref }}" == "refs/heads/main" ]; then
|
||||
DOWNLOAD_STATS=true make build-docs
|
||||
else
|
||||
make build-docs
|
||||
fi
|
||||
|
||||
- name: Build site (redirects only)
|
||||
run: make build-docs
|
||||
env:
|
||||
MKDOCS_GIT_COMMITTERS_APIKEY: ${{ secrets.MKDOCS_GIT_COMMITTERS_APIKEY }}
|
||||
OPENAI_API_KEY: sf-proj-1234567890 # fake placeholder, shouldn't actually be used
|
||||
ANTHROPIC_API_KEY: sk-ant-api03-1234567890 # fake placeholder, shouldn't actually be used
|
||||
- name: Check links in notebooks
|
||||
env:
|
||||
LANGCHAIN_API_KEY: test
|
||||
if: github.event_name == 'schedule'
|
||||
run: |
|
||||
if [ "${{ github.event_name }}" == "schedule" ]; then
|
||||
echo "Running link check on all HTML files matching notebooks in docs directory..."
|
||||
uv run pytest -v \
|
||||
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://academy\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://x.com/.*" \
|
||||
--check-links-ignore "https://twitter.com/.*" \
|
||||
--check-links-ignore "https://github\.com/.*" \
|
||||
--check-links-ignore "http://localhost:8123/.*" \
|
||||
--check-links-ignore "http://localhost:2024.*" \
|
||||
--check-links-ignore "http://127.0.0.1:.*" \
|
||||
--check-links-ignore "/.*\.(ipynb|html)$" \
|
||||
--check-links-ignore "https://python\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://openai\.com/.*" \
|
||||
--check-links-ignore "https://www\.uber\.com/.*" \
|
||||
--check-links-ignore "https://pepy\.tech/.*" \
|
||||
--check-links-ignore "docs/docs/static/wordmark_*" \
|
||||
--check-links $(find site -name "index.html" | grep -v 'storm/index.html')
|
||||
|
||||
else
|
||||
echo "Fetching changes from origin/main..."
|
||||
git fetch origin main
|
||||
echo "Checking for changed notebook files..."
|
||||
CHANGED_FILES=$(git diff --name-only --diff-filter=d origin/main | grep 'docs/docs/.*\.ipynb$' | grep -v 'storm.ipynb' | sed -E 's|^docs/docs/|site/|; s/\.ipynb$/\/index.html/' || true)
|
||||
echo "Changed files: ${CHANGED_FILES}"
|
||||
if [ -n "${CHANGED_FILES}" ]; then
|
||||
echo "Running link check on HTML files matching changed notebook files..."
|
||||
uv run pytest -v \
|
||||
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://academy\.langchain\.com/.*" \
|
||||
--check-links-ignore "http://localhost:8123/.*" \
|
||||
--check-links-ignore "http://localhost:2024.*" \
|
||||
--check-links-ignore "http://127.0.0.1:.*" \
|
||||
--check-links-ignore "https://x.com/.*" \
|
||||
--check-links-ignore "https://twitter.com/.*" \
|
||||
--check-links-ignore "https://github\.com/.*" \
|
||||
--check-links-ignore "/.*\.(ipynb|html)$" \
|
||||
--check-links-ignore "docs/docs/static/wordmark_*" \
|
||||
--check-links ${CHANGED_FILES} \
|
||||
|| ([ $? = 5 ] && exit 0 || exit $?)
|
||||
else
|
||||
echo "No notebook files changed."
|
||||
fi
|
||||
fi
|
||||
|
||||
- name: Configure GitHub Pages
|
||||
if: github.ref == 'refs/heads/main'
|
||||
uses: actions/configure-pages@v5
|
||||
|
||||
- name: Upload Pages Artifact
|
||||
# if: github.ref == 'refs/heads/main'
|
||||
if: github.ref == 'refs/heads/main'
|
||||
uses: actions/upload-pages-artifact@v4
|
||||
with:
|
||||
path: ./docs/site/
|
||||
|
||||
@@ -16,7 +16,6 @@ env:
|
||||
|
||||
jobs:
|
||||
build:
|
||||
if: github.ref == 'refs/heads/main'
|
||||
runs-on: ubuntu-latest
|
||||
|
||||
outputs:
|
||||
@@ -29,7 +28,7 @@ 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
|
||||
@@ -174,7 +173,7 @@ 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
|
||||
@@ -264,7 +263,7 @@ 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
|
||||
@@ -305,7 +304,7 @@ 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: "3.9"
|
||||
python-version: "3.10"
|
||||
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
|
||||
|
||||
|
||||
@@ -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]
|
||||
|
||||
@@ -29,7 +29,11 @@ logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def _transform_link(
|
||||
link_name: str, scope: str, file_path: str, line_number: int, custom_title: Optional[str] = None
|
||||
link_name: str,
|
||||
scope: str,
|
||||
file_path: str,
|
||||
line_number: int,
|
||||
custom_title: Optional[str] = None,
|
||||
) -> Optional[str]:
|
||||
"""Transform a cross-reference link based on the current scope.
|
||||
|
||||
@@ -38,7 +42,7 @@ def _transform_link(
|
||||
scope: The current scope context ("global", "python", "js", etc.).
|
||||
file_path: The file path for error reporting.
|
||||
line_number: The line number for error reporting.
|
||||
custom_title: Optional custom title for the link. If None, uses link_name.
|
||||
custom_title: Optional custom title for the link. If `None`, uses link_name.
|
||||
|
||||
Returns:
|
||||
A formatted markdown link if the link is found in the scope mapping,
|
||||
@@ -117,7 +121,9 @@ CROSS_REFERENCE_PATTERN = re.compile(
|
||||
)
|
||||
|
||||
|
||||
def _replace_autolinks(markdown: str, file_path: str, *, default_scope: str = "python") -> str:
|
||||
def _replace_autolinks(
|
||||
markdown: str, file_path: str, *, default_scope: str = "python"
|
||||
) -> str:
|
||||
"""Preprocess markdown lines to handle @[links] with conditional fence scopes.
|
||||
|
||||
This function processes markdown content to transform @[link_name] references
|
||||
@@ -169,7 +175,7 @@ def _replace_autolinks(markdown: str, file_path: str, *, default_scope: str = "p
|
||||
# This is @[ref] format
|
||||
link_name = match.group("link_name")
|
||||
custom_title = None
|
||||
|
||||
|
||||
transformed = _transform_link(
|
||||
link_name, current_scope, file_path, line_number, custom_title
|
||||
)
|
||||
|
||||
+444
-170
@@ -27,185 +27,413 @@ DISABLED = os.getenv("DISABLE_NOTEBOOK_CONVERT") in ("1", "true", "True")
|
||||
|
||||
REDIRECT_MAP = {
|
||||
# lib redirects
|
||||
"how-tos/stream-values.ipynb": "how-tos/streaming.md#stream-graph-state",
|
||||
"how-tos/stream-updates.ipynb": "how-tos/streaming.md#stream-graph-state",
|
||||
"how-tos/streaming-content.ipynb": "how-tos/streaming.md",
|
||||
"how-tos/stream-multiple.ipynb": "how-tos/streaming.md#stream-multiple-nodes",
|
||||
"how-tos/streaming-tokens-without-langchain.ipynb": "how-tos/streaming.md#use-with-any-llm",
|
||||
"how-tos/streaming-from-final-node.ipynb": "how-tos/streaming-specific-nodes.ipynb",
|
||||
"how-tos/streaming-events-from-within-tools-without-langchain.ipynb": "how-tos/streaming-events-from-within-tools.ipynb#example-without-langchain",
|
||||
"how-tos/stream-values.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/stream-updates.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/streaming-content.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/stream-multiple.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/streaming-tokens-without-langchain.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/streaming-from-final-node.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/streaming-events-from-within-tools-without-langchain.ipynb": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
# graph-api
|
||||
"how-tos/state-reducers.ipynb": "how-tos/graph-api.md#define-and-update-state",
|
||||
"how-tos/sequence.ipynb": "how-tos/graph-api.md#create-a-sequence-of-steps",
|
||||
"how-tos/branching.ipynb": "how-tos/graph-api.md#create-branches",
|
||||
"how-tos/recursion-limit.ipynb": "how-tos/graph-api.md#create-and-control-loops",
|
||||
"how-tos/visualization.ipynb": "how-tos/graph-api.md#visualize-your-graph",
|
||||
"how-tos/input_output_schema.ipynb": "how-tos/graph-api.md#define-input-and-output-schemas",
|
||||
"how-tos/pass_private_state.ipynb": "how-tos/graph-api.md#pass-private-state-between-nodes",
|
||||
"how-tos/state-model.ipynb": "how-tos/graph-api.md#use-pydantic-models-for-graph-state",
|
||||
"how-tos/map-reduce.ipynb": "how-tos/graph-api.md#map-reduce-and-the-send-api",
|
||||
"how-tos/command.ipynb": "how-tos/graph-api.md#combine-control-flow-and-state-updates-with-command",
|
||||
"how-tos/configuration.ipynb": "how-tos/graph-api.md#add-runtime-configuration",
|
||||
"how-tos/node-retries.ipynb": "how-tos/graph-api.md#add-retry-policies",
|
||||
"how-tos/return-when-recursion-limit-hits.ipynb": "how-tos/graph-api.md#impose-a-recursion-limit",
|
||||
"how-tos/async.ipynb": "how-tos/graph-api.md#async",
|
||||
"how-tos/state-reducers.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-and-update-state",
|
||||
"how-tos/sequence.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-a-sequence-of-steps",
|
||||
"how-tos/branching.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-branches",
|
||||
"how-tos/recursion-limit.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#create-and-control-loops",
|
||||
"how-tos/visualization.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#visualize-your-graph",
|
||||
"how-tos/input_output_schema.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#define-input-and-output-schemas",
|
||||
"how-tos/pass_private_state.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#pass-private-state-between-nodes",
|
||||
"how-tos/state-model.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#use-pydantic-models-for-graph-state",
|
||||
"how-tos/map-reduce.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#map-reduce-and-the-send-api",
|
||||
"how-tos/command.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#combine-control-flow-and-state-updates-with-command",
|
||||
"how-tos/configuration.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-runtime-configuration",
|
||||
"how-tos/node-retries.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#add-retry-policies",
|
||||
"how-tos/return-when-recursion-limit-hits.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#impose-a-recursion-limit",
|
||||
"how-tos/async.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api#async",
|
||||
# memory how-tos
|
||||
"how-tos/memory/manage-conversation-history.ipynb": "how-tos/memory/add-memory.md",
|
||||
"how-tos/memory/delete-messages.ipynb": "how-tos/memory/add-memory.md#delete-messages",
|
||||
"how-tos/memory/add-summary-conversation-history.ipynb": "how-tos/memory/add-memory.md#summarize-messages",
|
||||
"how-tos/memory.ipynb": "how-tos/memory/add-memory.md",
|
||||
"agents/memory.ipynb": "how-tos/memory/add-memory.md",
|
||||
"how-tos/memory/manage-conversation-history.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"how-tos/memory/delete-messages.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#delete-messages",
|
||||
"how-tos/memory/add-summary-conversation-history.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#summarize-messages",
|
||||
"how-tos/memory.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"agents/memory.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
# subgraph how-tos
|
||||
"how-tos/subgraph-transform-state.ipynb": "how-tos/subgraph.md#different-state-schemas",
|
||||
"how-tos/subgraphs-manage-state.ipynb": "how-tos/subgraph.md#add-persistence",
|
||||
"how-tos/subgraph-transform-state.ipynb": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#different-state-schemas",
|
||||
"how-tos/subgraphs-manage-state.ipynb": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs#add-persistence",
|
||||
# persistence how-tos
|
||||
"how-tos/persistence_postgres.ipynb": "how-tos/memory/add-memory.md#use-in-production",
|
||||
"how-tos/persistence_mongodb.ipynb": "how-tos/memory/add-memory.md#use-in-production",
|
||||
"how-tos/persistence_redis.ipynb": "how-tos/memory/add-memory.md#use-in-production",
|
||||
"how-tos/subgraph-persistence.ipynb": "how-tos/memory/add-memory.md#use-with-subgraphs",
|
||||
"how-tos/cross-thread-persistence.ipynb": "how-tos/memory/add-memory.md#add-long-term-memory",
|
||||
"cloud/how-tos/copy_threads": "cloud/how-tos/use_threads",
|
||||
"cloud/how-tos/check-thread-status": "cloud/how-tos/use_threads",
|
||||
"cloud/concepts/threads.md": "concepts/persistence.md#threads",
|
||||
"how-tos/persistence.ipynb": "how-tos/memory/add-memory.md",
|
||||
"how-tos/persistence_postgres.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
|
||||
"how-tos/persistence_mongodb.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
|
||||
"how-tos/persistence_redis.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-in-production",
|
||||
"how-tos/subgraph-persistence.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#use-with-subgraphs",
|
||||
"how-tos/cross-thread-persistence.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory#add-long-term-memory",
|
||||
"cloud/how-tos/copy_threads": "https://docs.langchain.com/langsmith/use-threads",
|
||||
"cloud/how-tos/check-thread-status": "https://docs.langchain.com/langsmith/use-threads",
|
||||
"cloud/concepts/threads.md": "https://docs.langchain.com/oss/python/langgraph/persistence#threads",
|
||||
"how-tos/persistence.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
# tool calling how-tos
|
||||
"how-tos/tool-calling-errors.ipynb": "how-tos/tool-calling.ipynb#handle-errors",
|
||||
"how-tos/pass-config-to-tools.ipynb": "how-tos/tool-calling.ipynb#access-config",
|
||||
"how-tos/pass-run-time-values-to-tools.ipynb": "how-tos/tool-calling.ipynb#read-state",
|
||||
"how-tos/update-state-from-tools.ipynb": "how-tos/tool-calling.ipynb#update-state",
|
||||
"agents/tools.md": "how-tos/tool-calling.md",
|
||||
"how-tos/tool-calling-errors.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"how-tos/pass-config-to-tools.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"how-tos/pass-run-time-values-to-tools.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"how-tos/update-state-from-tools.ipynb": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"agents/tools.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
# multi-agent how-tos
|
||||
"how-tos/agent-handoffs.ipynb": "how-tos/multi_agent.md#handoffs",
|
||||
"how-tos/multi-agent-network.ipynb": "how-tos/multi_agent.md#use-in-a-multi-agent-system",
|
||||
"how-tos/multi-agent-multi-turn-convo.ipynb": "how-tos/multi_agent.md#multi-turn-conversation",
|
||||
"how-tos/agent-handoffs.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"how-tos/multi-agent-network.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"how-tos/multi-agent-multi-turn-convo.ipynb": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
# cloud redirects
|
||||
"cloud/index.md": "index.md",
|
||||
"cloud/how-tos/index.md": "concepts/langgraph_platform",
|
||||
"cloud/concepts/api.md": "concepts/langgraph_server.md",
|
||||
"cloud/concepts/cloud.md": "concepts/langgraph_cloud.md",
|
||||
"cloud/faq/studio.md": "concepts/langgraph_studio.md#studio-faqs",
|
||||
"cloud/how-tos/human_in_the_loop_edit_state.md": "cloud/how-tos/add-human-in-the-loop.md",
|
||||
"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/index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"cloud/how-tos/index.md": "https://docs.langchain.com/langsmith/home",
|
||||
"cloud/concepts/api.md": "https://docs.langchain.com/langsmith/langgraph-server",
|
||||
"cloud/concepts/cloud.md": "https://docs.langchain.com/langsmith/cloud",
|
||||
"cloud/faq/studio.md": "https://docs.langchain.com/langsmith/studio",
|
||||
"cloud/how-tos/human_in_the_loop_edit_state.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
|
||||
"cloud/how-tos/human_in_the_loop_user_input.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
|
||||
"concepts/platform_architecture.md": "https://docs.langchain.com/langsmith/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/concepts/streaming.md": "concepts/streaming.md",
|
||||
"agents/streaming.md": "how-tos/streaming.md",
|
||||
"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": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"agents/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
# prebuilt redirects
|
||||
"how-tos/create-react-agent.ipynb": "agents/agents.md#basic-configuration",
|
||||
"how-tos/create-react-agent-memory.ipynb": "agents/memory.md",
|
||||
"how-tos/create-react-agent-system-prompt.ipynb": "agents/context.md#prompts",
|
||||
"how-tos/create-react-agent-structured-output.ipynb": "agents/agents.md#structured-output",
|
||||
"how-tos/create-react-agent.ipynb": "https://docs.langchain.com/oss/python/langchain/agents#basic-configuration",
|
||||
"how-tos/create-react-agent-memory.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"how-tos/create-react-agent-system-prompt.ipynb": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"how-tos/create-react-agent-structured-output.ipynb": "https://docs.langchain.com/oss/python/langchain/agents#structured-output",
|
||||
# misc
|
||||
"prebuilt.md": "agents/prebuilt.md",
|
||||
"reference/prebuilt.md": "reference/agents.md",
|
||||
"concepts/high_level.md": "index.md",
|
||||
"concepts/index.md": "index.md",
|
||||
"concepts/v0-human-in-the-loop.md": "concepts/human-in-the-loop.md",
|
||||
"how-tos/index.md": "index.md",
|
||||
"tutorials/introduction.ipynb": "concepts/why-langgraph.md",
|
||||
"agents/deployment.md": "tutorials/langgraph-platform/local-server.md",
|
||||
"prebuilt.md": "https://docs.langchain.com/oss/python/langchain/agents",
|
||||
"reference/prebuilt.md": "https://reference.langchain.com/python/langgraph/agents/",
|
||||
"concepts/high_level.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"concepts/index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"concepts/v0-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"how-tos/index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"tutorials/introduction.ipynb": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"agents/deployment.md": "https://docs.langchain.com/oss/python/langgraph/local-server",
|
||||
# deployment redirects
|
||||
"how-tos/deploy-self-hosted.md": "cloud/deployment/self_hosted_data_plane.md",
|
||||
"concepts/self_hosted.md": "concepts/langgraph_self_hosted_data_plane.md",
|
||||
"tutorials/deployment.md": "concepts/deployment_options.md",
|
||||
"how-tos/deploy-self-hosted.md": "https://docs.langchain.com/langsmith/hosting",
|
||||
"concepts/self_hosted.md": "https://docs.langchain.com/langsmith/hosting",
|
||||
"tutorials/deployment.md": "https://docs.langchain.com/langsmith/deployments",
|
||||
# assistant redirects
|
||||
"cloud/how-tos/assistant_versioning.md": "cloud/how-tos/configuration_cloud.md",
|
||||
"cloud/concepts/runs.md": "concepts/assistants.md#execution",
|
||||
"cloud/how-tos/assistant_versioning.md": "https://docs.langchain.com/langsmith/configuration-cloud",
|
||||
"cloud/concepts/runs.md": "https://docs.langchain.com/langsmith/assistants#execution",
|
||||
# hitl redirects
|
||||
"how-tos/wait-user-input-functional.ipynb": "how-tos/use-functional-api.md",
|
||||
"how-tos/review-tool-calls-functional.ipynb": "how-tos/use-functional-api.md",
|
||||
"how-tos/create-react-agent-hitl.ipynb": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
|
||||
"agents/human-in-the-loop.md": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
|
||||
"how-tos/human_in_the_loop/dynamic_breakpoints.ipynb": "how-tos/human_in_the_loop/breakpoints.md",
|
||||
"concepts/breakpoints.md": "concepts/human_in_the_loop.md",
|
||||
"how-tos/human_in_the_loop/breakpoints.md": "how-tos/human_in_the_loop/add-human-in-the-loop.md",
|
||||
"cloud/how-tos/human_in_the_loop_breakpoint.md": "cloud/how-tos/add-human-in-the-loop.md",
|
||||
"how-tos/human_in_the_loop/edit-graph-state.ipynb": "how-tos/human_in_the_loop/time-travel.md",
|
||||
"how-tos/wait-user-input-functional.ipynb": "https://docs.langchain.com/oss/python/langgraph/functional-api",
|
||||
"how-tos/review-tool-calls-functional.ipynb": "https://docs.langchain.com/oss/python/langgraph/functional-api",
|
||||
"how-tos/create-react-agent-hitl.ipynb": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"agents/human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"how-tos/human_in_the_loop/dynamic_breakpoints.ipynb": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"concepts/breakpoints.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"how-tos/human_in_the_loop/breakpoints.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"cloud/how-tos/human_in_the_loop_breakpoint.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
|
||||
"how-tos/human_in_the_loop/edit-graph-state.ipynb": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
|
||||
|
||||
# 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/use-studio#run-application",
|
||||
"cloud/how-tos/studio/manage_assistants.md": "https://docs.langchain.com/langgraph-platform/use-studio#manage-assistants",
|
||||
"cloud/how-tos/threads_studio.md": "https://docs.langchain.com/langgraph-platform/use-studio#manage-threads",
|
||||
"cloud/how-tos/iterate_graph_studio.md": "https://docs.langchain.com/langgraph-platform/observability-studio#iterate-on-prompts",
|
||||
"cloud/how-tos/studio/run_evals.md": "https://docs.langchain.com/langgraph-platform/observability-studio#run-experiments-over-a-dataset",
|
||||
"cloud/how-tos/clone_traces_studio.md": "https://docs.langchain.com/langgraph-platform/observability-studio#debug-langsmith-traces",
|
||||
"cloud/how-tos/datasets_studio.md": "https://docs.langchain.com/langgraph-platform/observability-studio#add-node-to-dataset",
|
||||
"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/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",
|
||||
|
||||
# LangGraph mintlify migration redirects
|
||||
"index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"agents/agents.md": "https://docs.langchain.com/oss/python/langchain/agents",
|
||||
"concepts/why-langgraph.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"tutorials/get-started/1-build-basic-chatbot.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"tutorials/get-started/2-add-tools.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"tutorials/get-started/3-add-memory.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"tutorials/get-started/4-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"tutorials/get-started/5-customize-state.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"tutorials/get-started/6-time-travel.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"tutorials/langsmith/local-server.md": "https://docs.langchain.com/oss/python/langgraph/local-server",
|
||||
"tutorials/workflows.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"concepts/agentic_concepts.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"guides/index.md": "https://docs.langchain.com/oss/python/langchain/overview",
|
||||
"agents/overview.md": "https://docs.langchain.com/oss/python/langchain/agents",
|
||||
"agents/run_agents.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"concepts/low_level.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"how-tos/graph-api.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"concepts/functional_api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
|
||||
"how-tos/use-functional-api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
|
||||
"concepts/pregel.md": "https://docs.langchain.com/oss/python/langgraph/pregel",
|
||||
"concepts/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"concepts/persistence.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
|
||||
"concepts/durable_execution.md": "https://docs.langchain.com/oss/python/langgraph/durable-execution",
|
||||
"concepts/memory.md": "https://docs.langchain.com/oss/python/langgraph/memory",
|
||||
"how-tos/memory/add-memory.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"agents/context.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"agents/models.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"concepts/tools.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"how-tos/tool-calling.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"concepts/human_in_the_loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"how-tos/human_in_the_loop/add-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"concepts/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
|
||||
"how-tos/human_in_the_loop/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
|
||||
"concepts/subgraphs.md": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
|
||||
"how-tos/subgraph.md": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
|
||||
"concepts/multi_agent.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"agents/multi-agent.md": "https://docs.langchain.com/oss/python/langchain/multi-agent",
|
||||
"how-tos/multi_agent.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"concepts/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"agents/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"concepts/tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
|
||||
"how-tos/enable-tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
|
||||
"agents/evals.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"examples/index.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
|
||||
"concepts/template_applications.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"tutorials/rag/langgraph_agentic_rag.md": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
|
||||
"tutorials/multi_agent/agent_supervisor.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"tutorials/sql/sql-agent.md": "https://docs.langchain.com/oss/python/langgraph/sql-agent",
|
||||
"agents/ui.md": "https://docs.langchain.com/oss/python/langgraph/ui",
|
||||
"how-tos/run-id-langsmith.md": "https://docs.langchain.com/oss/python/langgraph/observability",
|
||||
"troubleshooting/errors/index.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
|
||||
"troubleshooting/errors/INVALID_CHAT_HISTORY.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
|
||||
"troubleshooting/errors/INVALID_LICENSE.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
|
||||
"adopters.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
|
||||
"concepts/faq.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"agents/prebuilt.md": "https://docs.langchain.com/oss/python/langchain/agents",
|
||||
"reference/index.md": "https://reference.langchain.com/python/langgraph/",
|
||||
"reference/graphs.md": "https://reference.langchain.com/python/langgraph/graphs/",
|
||||
"reference/func.md": "https://reference.langchain.com/python/langgraph/func/",
|
||||
"reference/pregel.md": "https://reference.langchain.com/python/langgraph/pregel/",
|
||||
"reference/checkpoints.md": "https://reference.langchain.com/python/langgraph/checkpoints/",
|
||||
"reference/store.md": "https://reference.langchain.com/python/langgraph/store/",
|
||||
"reference/cache.md": "https://reference.langchain.com/python/langgraph/cache/",
|
||||
"reference/types.md": "https://reference.langchain.com/python/langgraph/types/",
|
||||
"reference/runtime.md": "https://reference.langchain.com/python/langgraph/runtime/",
|
||||
"reference/config.md": "https://reference.langchain.com/python/langgraph/config/",
|
||||
"reference/errors.md": "https://reference.langchain.com/python/langgraph/errors/",
|
||||
"reference/constants.md": "https://reference.langchain.com/python/langgraph/constants/",
|
||||
"reference/channels.md": "https://reference.langchain.com/python/langgraph/channels/",
|
||||
"reference/agents.md": "https://reference.langchain.com/python/langgraph/agents/",
|
||||
"reference/supervisor.md": "https://reference.langchain.com/python/langgraph/supervisor/",
|
||||
"reference/swarm.md": "https://reference.langchain.com/python/langgraph/swarm/",
|
||||
"reference/mcp.md": "https://reference.langchain.com/python/langgraph/mcp/",
|
||||
"cloud/reference/sdk/python_sdk_ref.md": "https://reference.langchain.com/python/platform/python_sdk/",
|
||||
"reference/remote_graph.md": "https://reference.langchain.com/python/platform/remote_graph/",
|
||||
|
||||
# additional exclude-search entries from mkdocs.yml
|
||||
"additional-resources/index.md": "https://docs.langchain.com/oss/python/langchain/overview",
|
||||
"cloud/concepts/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
|
||||
"cloud/concepts/data_storage_and_privacy.md": "https://docs.langchain.com/langsmith/data-storage-and-privacy",
|
||||
"cloud/concepts/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
|
||||
"cloud/deployment/cloud.md": "https://docs.langchain.com/langsmith/cloud",
|
||||
"cloud/deployment/custom_docker.md": "https://docs.langchain.com/langsmith/custom-docker",
|
||||
"cloud/deployment/egress.md": "https://docs.langchain.com/langsmith/env-var",
|
||||
"cloud/deployment/graph_rebuild.md": "https://docs.langchain.com/langsmith/graph-rebuild",
|
||||
"cloud/deployment/self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/hosting",
|
||||
"cloud/deployment/self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/hosting",
|
||||
"cloud/deployment/semantic_search.md": "https://docs.langchain.com/langsmith/semantic-search",
|
||||
"cloud/deployment/setup_javascript.md": "https://docs.langchain.com/langsmith/setup-javascript",
|
||||
"cloud/deployment/setup_pyproject.md": "https://docs.langchain.com/langsmith/setup-pyproject",
|
||||
"cloud/deployment/setup.md": "https://docs.langchain.com/langsmith/setup-app-requirements-txt",
|
||||
"cloud/deployment/standalone_container.md": "https://docs.langchain.com/langsmith/docker",
|
||||
"cloud/how-tos/add-human-in-the-loop.md": "https://docs.langchain.com/langsmith/add-human-in-the-loop",
|
||||
"cloud/how-tos/background_run.md": "https://docs.langchain.com/langsmith/background-run",
|
||||
"cloud/how-tos/clone_traces_studio.md": "https://docs.langchain.com/langsmith/observability",
|
||||
"cloud/how-tos/configurable_headers.md": "https://docs.langchain.com/langsmith/configurable-headers",
|
||||
"cloud/how-tos/configuration_cloud.md": "https://docs.langchain.com/langsmith/configuration-cloud",
|
||||
"cloud/how-tos/cron_jobs.md": "https://docs.langchain.com/langsmith/cron-jobs",
|
||||
"cloud/how-tos/datasets_studio.md": "https://docs.langchain.com/langsmith/use-studio",
|
||||
"cloud/how-tos/enqueue_concurrent.md": "https://docs.langchain.com/langsmith/enqueue-concurrent",
|
||||
"cloud/how-tos/generative_ui_react.md": "https://docs.langchain.com/langsmith/generative-ui-react",
|
||||
"cloud/how-tos/human_in_the_loop_time_travel.md": "https://docs.langchain.com/langsmith/human-in-the-loop-time-travel",
|
||||
"cloud/how-tos/interrupt_concurrent.md": "https://docs.langchain.com/langsmith/interrupt-concurrent",
|
||||
"cloud/how-tos/invoke_studio.md": "https://docs.langchain.com/langsmith/use-studio",
|
||||
"cloud/how-tos/iterate_graph_studio.md": "https://docs.langchain.com/langsmith/use-studio",
|
||||
"cloud/how-tos/reject_concurrent.md": "https://docs.langchain.com/langsmith/reject-concurrent",
|
||||
"cloud/how-tos/rollback_concurrent.md": "https://docs.langchain.com/langsmith/rollback-concurrent",
|
||||
"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/streaming.md": "https://docs.langchain.com/langsmith/streaming",
|
||||
"cloud/how-tos/studio/manage_assistants.md": "https://docs.langchain.com/langsmith/use-studio",
|
||||
"cloud/how-tos/studio/quick_start.md": "https://docs.langchain.com/langsmith/quick-start-studio",
|
||||
"cloud/how-tos/studio/run_evals.md": "https://docs.langchain.com/langsmith/observability",
|
||||
"cloud/how-tos/threads_studio.md": "https://docs.langchain.com/langsmith/use-threads",
|
||||
"cloud/how-tos/use_stream_react.md": "https://docs.langchain.com/langsmith/use-stream-react",
|
||||
"cloud/how-tos/use_threads.md": "https://docs.langchain.com/langsmith/use-threads",
|
||||
"cloud/how-tos/webhooks.md": "https://docs.langchain.com/langsmith/use-webhooks",
|
||||
"cloud/quick_start.md": "https://docs.langchain.com/langsmith/deployment-quickstart",
|
||||
"cloud/reference/api/api_ref_control_plane.md": "https://docs.langchain.com/langsmith/api-ref-control-plane",
|
||||
"cloud/reference/api/api_ref.md": "https://docs.langchain.com/langsmith/server-api-ref",
|
||||
"cloud/reference/cli.md": "https://docs.langchain.com/langsmith/cli",
|
||||
"cloud/reference/env_var.md": "https://docs.langchain.com/langsmith/env-var",
|
||||
"cloud/reference/langgraph_server_changelog.md": "https://docs.langchain.com/langsmith/langgraph-server-changelog",
|
||||
"cloud/reference/sdk/js_ts_sdk_ref.md": "https://reference.langchain.com/javascript/modules/langsmith.html",
|
||||
"concepts/application_structure.md": "https://docs.langchain.com/langsmith/application-structure",
|
||||
"concepts/assistants.md": "https://docs.langchain.com/langsmith/assistants",
|
||||
"concepts/auth.md": "https://docs.langchain.com/langsmith/auth",
|
||||
"concepts/deployment_options.md": "https://docs.langchain.com/langsmith/deployments",
|
||||
"concepts/double_texting.md": "https://docs.langchain.com/langsmith/double-texting",
|
||||
"concepts/faq.md": "https://docs.langchain.com/langsmith/faq",
|
||||
"concepts/langgraph_cli.md": "https://docs.langchain.com/langsmith/cli",
|
||||
"concepts/langgraph_cloud.md": "https://docs.langchain.com/langsmith/cloud",
|
||||
"concepts/langgraph_components.md": "https://docs.langchain.com/langsmith/components",
|
||||
"concepts/langgraph_control_plane.md": "https://docs.langchain.com/langsmith/control-plane",
|
||||
"concepts/langgraph_data_plane.md": "https://docs.langchain.com/langsmith/data-plane",
|
||||
"concepts/langgraph_platform.md": "https://docs.langchain.com/langsmith/home",
|
||||
"concepts/langgraph_self_hosted_control_plane.md": "https://docs.langchain.com/langsmith/hosting",
|
||||
"concepts/langgraph_self_hosted_data_plane.md": "https://docs.langchain.com/langsmith/hosting",
|
||||
"concepts/langgraph_server.md": "https://docs.langchain.com/langsmith/langgraph-server",
|
||||
"concepts/langgraph_standalone_container.md": "https://docs.langchain.com/langsmith/docker",
|
||||
"concepts/langgraph_studio.md": "https://docs.langchain.com/langsmith/studio",
|
||||
"concepts/plans.md": "https://docs.langchain.com/langsmith/home",
|
||||
"concepts/scalability_and_resilience.md": "https://docs.langchain.com/langsmith/scalability-and-resilience",
|
||||
"concepts/sdk.md": "https://docs.langchain.com/langsmith/sdk",
|
||||
"concepts/server-mcp.md": "https://docs.langchain.com/langsmith/server-mcp",
|
||||
"concepts/template_applications.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"concepts/why-langgraph.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"examples/index.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
|
||||
"guides/index.md": "https://docs.langchain.com/oss/python/langchain/overview",
|
||||
"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",
|
||||
"how-tos/autogen-integration.md": "https://docs.langchain.com/langsmith/autogen-integration",
|
||||
"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",
|
||||
"how-tos/ttl/configure_ttl.md": "https://docs.langchain.com/langsmith/configure-ttl",
|
||||
"how-tos/use-remote-graph.md": "https://docs.langchain.com/langsmith/use-remote-graph",
|
||||
"index.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"snippets/chat_model_tabs.md": "https://docs.langchain.com/oss/python/langchain/overview",
|
||||
"troubleshooting/errors/GRAPH_RECURSION_LIMIT.md": "https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT",
|
||||
"troubleshooting/errors/index.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
|
||||
"troubleshooting/errors/INVALID_CHAT_HISTORY.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
|
||||
"troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CONCURRENT_GRAPH_UPDATE",
|
||||
"troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_GRAPH_NODE_RETURN_VALUE",
|
||||
"troubleshooting/errors/INVALID_LICENSE.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
|
||||
"troubleshooting/errors/MULTIPLE_SUBGRAPHS.md": "https://docs.langchain.com/oss/python/langgraph/MULTIPLE_SUBGRAPHS",
|
||||
"troubleshooting/studio.md": "https://docs.langchain.com/langsmith/troubleshooting-studio",
|
||||
"tutorials/auth/add_auth_server.md": "https://docs.langchain.com/langsmith/add-auth-server",
|
||||
"tutorials/auth/getting_started.md": "https://docs.langchain.com/langsmith/auth",
|
||||
"tutorials/auth/resource_auth.md": "https://docs.langchain.com/langsmith/resource-auth",
|
||||
"agents/agents.md": "https://docs.langchain.com/oss/python/langchain/agents",
|
||||
"concepts/why-langgraph.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"tutorials/langsmith/local-server.md": "https://docs.langchain.com/oss/python/langgraph/local-server",
|
||||
"tutorials/workflows.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"concepts/agentic_concepts.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"guides/index.md": "https://docs.langchain.com/oss/python/langchain/overview",
|
||||
"agents/overview.md": "https://docs.langchain.com/oss/python/langchain/agents",
|
||||
"concepts/agentic_concepts.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"agents/run_agents.md": "https://docs.langchain.com/oss/python/langgraph/quickstart",
|
||||
"concepts/low_level.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"how-tos/graph-api.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"concepts/functional_api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
|
||||
"how-tos/use-functional-api.md": "https://docs.langchain.com/oss/python/langgraph/functional-api",
|
||||
"concepts/pregel.md": "https://docs.langchain.com/oss/python/langgraph/pregel",
|
||||
"concepts/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"how-tos/streaming.md": "https://docs.langchain.com/oss/python/langgraph/streaming",
|
||||
"concepts/persistence.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
|
||||
"concepts/durable_execution.md": "https://docs.langchain.com/oss/python/langgraph/durable-execution",
|
||||
"concepts/memory.md": "https://docs.langchain.com/oss/python/langgraph/memory",
|
||||
"how-tos/memory/add-memory.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"agents/context.md": "https://docs.langchain.com/oss/python/langgraph/add-memory",
|
||||
"agents/models.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"concepts/tools.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"how-tos/tool-calling.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"concepts/human_in_the_loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"how-tos/human_in_the_loop/add-human-in-the-loop.md": "https://docs.langchain.com/oss/python/langgraph/interrupts",
|
||||
"concepts/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/persistence",
|
||||
"how-tos/human_in_the_loop/time-travel.md": "https://docs.langchain.com/oss/python/langgraph/use-time-travel",
|
||||
"concepts/subgraphs.md": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
|
||||
"how-tos/subgraph.md": "https://docs.langchain.com/oss/python/langgraph/use-subgraphs",
|
||||
"concepts/multi_agent.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"agents/multi-agent.md": "https://docs.langchain.com/oss/python/langchain/multi-agent",
|
||||
"how-tos/multi_agent.md": "https://docs.langchain.com/oss/python/langgraph/graph-api",
|
||||
"concepts/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"agents/mcp.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"concepts/tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
|
||||
"how-tos/enable-tracing.md": "https://docs.langchain.com/oss/python/langgraph/observability",
|
||||
"agents/evals.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"examples/index.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
|
||||
"concepts/template_applications.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"tutorials/rag/langgraph_agentic_rag.md": "https://docs.langchain.com/oss/python/langgraph/agentic-rag",
|
||||
"tutorials/multi_agent/agent_supervisor.md": "https://docs.langchain.com/oss/python/langgraph/workflows-agents",
|
||||
"tutorials/sql/sql-agent.md": "https://docs.langchain.com/oss/python/langgraph/sql-agent",
|
||||
"agents/ui.md": "https://docs.langchain.com/oss/python/langgraph/ui",
|
||||
"how-tos/run-id-langsmith.md": "https://docs.langchain.com/oss/python/langgraph/observability",
|
||||
"troubleshooting/errors/index.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
|
||||
"troubleshooting/errors/GRAPH_RECURSION_LIMIT.md": "https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT",
|
||||
"troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CONCURRENT_GRAPH_UPDATE",
|
||||
"troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_GRAPH_NODE_RETURN_VALUE",
|
||||
"troubleshooting/errors/MULTIPLE_SUBGRAPHS.md": "https://docs.langchain.com/oss/python/langgraph/MULTIPLE_SUBGRAPHS",
|
||||
"troubleshooting/errors/INVALID_CHAT_HISTORY.md": "https://docs.langchain.com/oss/python/langgraph/INVALID_CHAT_HISTORY",
|
||||
"troubleshooting/errors/INVALID_LICENSE.md": "https://docs.langchain.com/oss/python/langgraph/common-errors",
|
||||
"adopters.md": "https://docs.langchain.com/oss/python/langgraph/case-studies",
|
||||
"concepts/faq.md": "https://docs.langchain.com/oss/python/langgraph/overview",
|
||||
"agents/prebuilt.md": "https://docs.langchain.com/oss/python/langchain/agents",
|
||||
}
|
||||
|
||||
|
||||
@@ -560,10 +788,16 @@ def on_post_page(html: str, page: Page, config: MkDocsConfig) -> str:
|
||||
# Create HTML files for redirects after site dir has been built
|
||||
def on_post_build(config):
|
||||
use_directory_urls = config.get("use_directory_urls")
|
||||
site_dir = config["site_dir"]
|
||||
|
||||
# Track which paths have explicit redirects
|
||||
redirected_paths = set()
|
||||
|
||||
# Process explicit redirects from REDIRECT_MAP
|
||||
for page_old, page_new in REDIRECT_MAP.items():
|
||||
# Convert .ipynb to .md for path calculation
|
||||
page_old = page_old.replace(".ipynb", ".md")
|
||||
|
||||
|
||||
# Calculate the HTML path for the old page (whether it exists or not)
|
||||
if use_directory_urls:
|
||||
# With directory URLs: /path/to/page/ becomes /path/to/page/index.html
|
||||
@@ -577,15 +811,18 @@ def on_post_build(config):
|
||||
old_html_path = page_old[:-3] + ".html"
|
||||
else:
|
||||
old_html_path = page_old + ".html"
|
||||
|
||||
|
||||
# Track this path as redirected
|
||||
redirected_paths.add(old_html_path)
|
||||
|
||||
if isinstance(page_new, str) and page_new.startswith("http"):
|
||||
# Handle external redirects
|
||||
_write_html(config["site_dir"], old_html_path, page_new)
|
||||
_write_html(site_dir, old_html_path, page_new)
|
||||
else:
|
||||
# Handle internal redirects
|
||||
page_new = page_new.replace(".ipynb", ".md")
|
||||
page_new_before_hash, hash, suffix = page_new.partition("#")
|
||||
|
||||
|
||||
# Try to get the new path using File class, but fallback to manual calculation
|
||||
try:
|
||||
new_html_path = File(page_new_before_hash, "", "", True).url
|
||||
@@ -607,5 +844,42 @@ def on_post_build(config):
|
||||
else:
|
||||
new_html_path = page_new_before_hash + ".html"
|
||||
new_html_path += hash + suffix
|
||||
|
||||
_write_html(config["site_dir"], old_html_path, new_html_path)
|
||||
|
||||
_write_html(site_dir, old_html_path, new_html_path)
|
||||
|
||||
# Create root index.html redirect
|
||||
root_redirect_html = """<!doctype html>
|
||||
<html lang="en">
|
||||
<head>
|
||||
<meta charset="utf-8">
|
||||
<title>Redirecting to LangGraph Documentation</title>
|
||||
<link rel="canonical" href="https://docs.langchain.com/oss/python/langgraph/overview">
|
||||
<meta name="robots" content="noindex">
|
||||
<script>var anchor=window.location.hash.substr(1);location.href="https://docs.langchain.com/oss/python/langgraph/overview"+(anchor?"#"+anchor:"")</script>
|
||||
<meta http-equiv="refresh" content="0; url=https://docs.langchain.com/oss/python/langgraph/overview">
|
||||
</head>
|
||||
<body>
|
||||
<h1>Documentation has moved</h1>
|
||||
<p>The LangGraph documentation has moved to <a href="https://docs.langchain.com/oss/python/langgraph/overview">docs.langchain.com</a>.</p>
|
||||
<p>Redirecting you now...</p>
|
||||
</body>
|
||||
</html>
|
||||
"""
|
||||
|
||||
root_index_path = os.path.join(site_dir, "index.html")
|
||||
with open(root_index_path, "w", encoding="utf-8") as f:
|
||||
f.write(root_redirect_html)
|
||||
|
||||
# Create server-side catch-all redirect file for Netlify/Cloudflare Pages
|
||||
# This handles any pages not explicitly mapped in REDIRECT_MAP
|
||||
redirects_content = """# Netlify/Cloudflare Pages redirect rules
|
||||
# Specific redirects are handled by individual HTML redirect pages
|
||||
# This is the catch-all for any unmapped pages
|
||||
|
||||
# Catch-all: redirect any page not explicitly mapped
|
||||
/* https://docs.langchain.com/oss/python/langgraph/overview 301
|
||||
"""
|
||||
|
||||
redirects_path = os.path.join(site_dir, "_redirects")
|
||||
with open(redirects_path, "w", encoding="utf-8") as f:
|
||||
f.write(redirects_content)
|
||||
|
||||
@@ -20,16 +20,19 @@ class Package(TypedDict):
|
||||
description: str
|
||||
"""A brief description of what the package does."""
|
||||
|
||||
|
||||
class ResolvedPackage(Package):
|
||||
weekly_downloads: int | None
|
||||
"""The weekly download count of the package."""
|
||||
language: str
|
||||
"""The language of the package. (either 'python' or 'js')"""
|
||||
|
||||
|
||||
HERE = pathlib.Path(__file__).parent
|
||||
PACKAGES_FILE = HERE / "packages.yml"
|
||||
PACKAGES = yaml.safe_load(PACKAGES_FILE.read_text())["packages"]
|
||||
|
||||
|
||||
def _get_pypi_downloads(package: Package) -> int:
|
||||
"""Retrieve the weekly download count for a package from PyPIStats."""
|
||||
|
||||
@@ -72,7 +75,8 @@ def _get_pypi_downloads(package: Package) -> int:
|
||||
return sum(entry["downloads"] for entry in sorted_data[:7])
|
||||
else:
|
||||
return None
|
||||
|
||||
|
||||
|
||||
def _get_npm_downloads(package: Package) -> int:
|
||||
"""Retrieve the weekly download count for a package on the npm registry."""
|
||||
|
||||
@@ -82,14 +86,18 @@ def _get_npm_downloads(package: Package) -> int:
|
||||
npm_response = requests.get(npm_url)
|
||||
npm_response.raise_for_status()
|
||||
except requests.exceptions.HTTPError:
|
||||
raise AssertionError(f"Package {package['name']} does not exist on npm registry")
|
||||
raise AssertionError(
|
||||
f"Package {package['name']} does not exist on npm registry"
|
||||
)
|
||||
|
||||
npm_data = npm_response.json()
|
||||
|
||||
# Retrieve the first publish date using the 'created' timestamp from the 'time' field.
|
||||
created_str = npm_data.get("time", {}).get("created")
|
||||
if created_str is None:
|
||||
raise AssertionError(f"Package {package['name']} has no creation time in registry data")
|
||||
raise AssertionError(
|
||||
f"Package {package['name']} has no creation time in registry data"
|
||||
)
|
||||
# Remove the trailing 'Z' if present and parse the ISO format timestamp
|
||||
first_publish_date = datetime.fromisoformat(created_str.rstrip("Z"))
|
||||
|
||||
@@ -103,7 +111,10 @@ def _get_npm_downloads(package: Package) -> int:
|
||||
else:
|
||||
return None
|
||||
|
||||
def _get_weekly_downloads(packages: dict[str, list[Package]], fake: bool) -> list[ResolvedPackage]:
|
||||
|
||||
def _get_weekly_downloads(
|
||||
packages: dict[str, list[Package]], fake: bool
|
||||
) -> list[ResolvedPackage]:
|
||||
"""Retrieve the weekly download count for a dictionary of python or js packages."""
|
||||
resolved_packages: list[ResolvedPackage] = []
|
||||
|
||||
@@ -131,7 +142,7 @@ def _get_weekly_downloads(packages: dict[str, list[Package]], fake: bool) -> lis
|
||||
num_downloads = _get_npm_downloads(package)
|
||||
else:
|
||||
num_downloads = None
|
||||
|
||||
|
||||
resolved_packages.append(
|
||||
{
|
||||
"name": package["name"],
|
||||
@@ -145,12 +156,13 @@ def _get_weekly_downloads(packages: dict[str, list[Package]], fake: bool) -> lis
|
||||
|
||||
return resolved_packages
|
||||
|
||||
|
||||
def main(output_file: str, fake: bool) -> None:
|
||||
"""Main function to generate package download information.
|
||||
|
||||
Args:
|
||||
output_file: Path to the output YAML file.
|
||||
fake: If True, use fake download counts for testing purposes.
|
||||
fake: If `True`, use fake download counts for testing purposes.
|
||||
"""
|
||||
resolved_packages: list[ResolvedPackage] = _get_weekly_downloads(PACKAGES, fake)
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
{
|
||||
"openapi": "3.1.0",
|
||||
"info": {
|
||||
"title": "LangGraph Platform",
|
||||
"title": "LangSmith Deployment",
|
||||
"version": "0.1.0"
|
||||
},
|
||||
"tags": [
|
||||
|
||||
@@ -21,12 +21,16 @@ To leverage durable execution in LangGraph, you need to:
|
||||
1. Enable [persistence](./persistence.md) in your workflow by specifying a [checkpointer](./persistence.md#checkpointer-libraries) that will save workflow progress.
|
||||
2. Specify a [thread identifier](./persistence.md#threads) when executing a workflow. This will track the execution history for a particular instance of the workflow.
|
||||
|
||||
:::python
|
||||
:::python
|
||||
|
||||
3. Wrap any non-deterministic operations (e.g., random number generation) or operations with side effects (e.g., file writes, API calls) inside @[tasks][task] to ensure that when a workflow is resumed, these operations are not repeated for the particular run, and instead their results are retrieved from the persistence layer. For more information, see [Determinism and Consistent Replay](#determinism-and-consistent-replay).
|
||||
|
||||
:::
|
||||
|
||||
:::js
|
||||
:::js
|
||||
|
||||
3. Wrap any non-deterministic operations (e.g., random number generation) or operations with side effects (e.g., file writes, API calls) inside @[tasks][task] to ensure that when a workflow is resumed, these operations are not repeated for the particular run, and instead their results are retrieved from the persistence layer. For more information, see [Determinism and Consistent Replay](#determinism-and-consistent-replay).
|
||||
|
||||
:::
|
||||
|
||||
## Determinism and Consistent Replay
|
||||
@@ -61,7 +65,7 @@ LangGraph supports three durability modes that allow you to balance performance
|
||||
|
||||
A higher durability mode add more overhead to the workflow execution.
|
||||
|
||||
!!! version-added "Added in v0.6.0"
|
||||
!!! version-added "Added in version 0.6.0"
|
||||
|
||||
Use the `durability` parameter instead of `checkpoint_during` (deprecated in v0.6.0) for persistence policy management:
|
||||
|
||||
@@ -73,14 +77,16 @@ A higher durability mode add more overhead to the workflow execution.
|
||||
* `checkpoint_during=True` -> `durability="async"`
|
||||
* `checkpoint_during=False` -> `durability="exit"`
|
||||
|
||||
|
||||
### `"exit"`
|
||||
|
||||
Changes are persisted only when graph execution completes (either successfully or with an error). This provides the best performance for long-running graphs but means intermediate state is not saved, so you cannot recover from mid-execution failures or interrupt the graph execution.
|
||||
|
||||
### `"async"`
|
||||
|
||||
Changes are persisted asynchronously while the next step executes. This provides good performance and durability, but there's a small risk that checkpoints might not be written if the process crashes during execution.
|
||||
|
||||
### `"sync"`
|
||||
|
||||
Changes are persisted synchronously before the next step starts. This ensures that every checkpoint is written before continuing execution, providing high durability at the cost of some performance overhead.
|
||||
|
||||
You can specify the durability mode when calling any graph execution method:
|
||||
@@ -310,12 +316,14 @@ Once you have enabled durable execution in your workflow, you can resume executi
|
||||
|
||||
- **Pausing and Resuming Workflows:** Use the @[interrupt][interrupt] function to pause a workflow at specific points and the @[Command] primitive to resume it with updated state. See [**Human-in-the-Loop**](./human_in_the_loop.md) for more details.
|
||||
- **Recovering from Failures:** Automatically resume workflows from the last successful checkpoint after an exception (e.g., LLM provider outage). This involves executing the workflow with the same thread identifier by providing it with a `None` as the input value (see this [example](../how-tos/use-functional-api.md#resuming-after-an-error) with the functional API).
|
||||
|
||||
:::
|
||||
|
||||
:::js
|
||||
|
||||
- **Pausing and Resuming Workflows:** Use the @[interrupt][interrupt] function to pause a workflow at specific points and the @[Command] primitive to resume it with updated state. See [**Human-in-the-Loop**](./human_in_the_loop.md) for more details.
|
||||
- **Recovering from Failures:** Automatically resume workflows from the last successful checkpoint after an exception (e.g., LLM provider outage). This involves executing the workflow with the same thread identifier by providing it with a `null` as the input value (see this [example](../how-tos/use-functional-api.md#resuming-after-an-error) with the functional API).
|
||||
|
||||
:::
|
||||
|
||||
## Starting Points for Resuming Workflows
|
||||
@@ -326,6 +334,7 @@ Once you have enabled durable execution in your workflow, you can resume executi
|
||||
- If you're making a subgraph call inside a node, the starting point will be the **parent** node that called the subgraph that was halted.
|
||||
Inside the subgraph, the starting point will be the specific [**node**](./low_level.md#nodes) where execution stopped.
|
||||
- If you're using the Functional API, the starting point is the beginning of the [**entrypoint**](./functional_api.md#entrypoint) where execution stopped.
|
||||
|
||||
:::
|
||||
|
||||
:::js
|
||||
@@ -334,4 +343,5 @@ Once you have enabled durable execution in your workflow, you can resume executi
|
||||
- If you're making a subgraph call inside a node, the starting point will be the **parent** node that called the subgraph that was halted.
|
||||
Inside the subgraph, the starting point will be the specific [**node**](./low_level.md#nodes) where execution stopped.
|
||||
- If you're using the Functional API, the starting point is the beginning of the [**entrypoint**](./functional_api.md#entrypoint) where execution stopped.
|
||||
|
||||
:::
|
||||
|
||||
@@ -2,4 +2,4 @@
|
||||
|
||||
::: langgraph.cache.base
|
||||
::: langgraph.cache.memory
|
||||
::: langgraph.cache.sqlite
|
||||
::: langgraph.cache.sqlite
|
||||
|
||||
@@ -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!
|
||||
|
||||
@@ -294,9 +294,9 @@ Now that you have a LangGraph app running locally, take your journey further by
|
||||
:::python
|
||||
|
||||
- [Python SDK Reference](../../cloud/reference/sdk/python_sdk_ref.md): Explore the Python SDK API Reference.
|
||||
:::
|
||||
:::
|
||||
|
||||
:::js
|
||||
|
||||
- [JS/TS SDK Reference](../../cloud/reference/sdk/js_ts_sdk_ref.md): Explore the JS/TS SDK API Reference.
|
||||
:::
|
||||
:::
|
||||
|
||||
+62
-98
@@ -149,6 +149,67 @@ plugins:
|
||||
- tutorials/auth/add_auth_server.md
|
||||
- tutorials/auth/getting_started.md
|
||||
- tutorials/auth/resource_auth.md
|
||||
- agents/agents.md
|
||||
- concepts/why-langgraph.md
|
||||
- tutorials/get-started/1-build-basic-chatbot.md
|
||||
- tutorials/get-started/2-add-tools.md
|
||||
- tutorials/get-started/3-add-memory.md
|
||||
- tutorials/get-started/4-human-in-the-loop.md
|
||||
- tutorials/get-started/5-customize-state.md
|
||||
- tutorials/get-started/6-time-travel.md
|
||||
- tutorials/langgraph-platform/local-server.md
|
||||
- tutorials/workflows.md
|
||||
- concepts/agentic_concepts.md
|
||||
- guides/index.md
|
||||
- agents/overview.md
|
||||
- agents/run_agents.md
|
||||
- concepts/low_level.md
|
||||
- how-tos/graph-api.md
|
||||
- concepts/functional_api.md
|
||||
- how-tos/use-functional-api.md
|
||||
- concepts/pregel.md
|
||||
- concepts/streaming.md
|
||||
- how-tos/streaming.md
|
||||
- concepts/persistence.md
|
||||
- concepts/durable_execution.md
|
||||
- concepts/memory.md
|
||||
- how-tos/memory/add-memory.md
|
||||
- agents/context.md
|
||||
- agents/models.md
|
||||
- concepts/tools.md
|
||||
- how-tos/tool-calling.md
|
||||
- concepts/human_in_the_loop.md
|
||||
- how-tos/human_in_the_loop/add-human-in-the-loop.md
|
||||
- concepts/time-travel.md
|
||||
- how-tos/human_in_the_loop/time-travel.md
|
||||
- concepts/subgraphs.md
|
||||
- how-tos/subgraph.md
|
||||
- concepts/multi_agent.md
|
||||
- agents/multi-agent.md
|
||||
- how-tos/multi_agent.md
|
||||
- concepts/mcp.md
|
||||
- agents/mcp.md
|
||||
- concepts/tracing.md
|
||||
- how-tos/enable-tracing.md
|
||||
- agents/evals.md
|
||||
- examples/index.md
|
||||
- concepts/template_applications.md # TODO: make tutorial
|
||||
- tutorials/rag/langgraph_agentic_rag.md
|
||||
- tutorials/multi_agent/agent_supervisor.md
|
||||
- tutorials/sql/sql-agent.md
|
||||
- agents/ui.md
|
||||
- how-tos/run-id-langsmith.md
|
||||
- troubleshooting/errors/index.md
|
||||
- troubleshooting/errors/GRAPH_RECURSION_LIMIT.md
|
||||
- troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md
|
||||
- troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md
|
||||
- troubleshooting/errors/MULTIPLE_SUBGRAPHS.md
|
||||
- troubleshooting/errors/INVALID_CHAT_HISTORY.md
|
||||
- troubleshooting/errors/INVALID_LICENSE.md
|
||||
- adopters.md
|
||||
- concepts/faq.md
|
||||
- agents/prebuilt.md # NOTE: prebuilt.md is auto-generated by `make build-prebuilt`
|
||||
|
||||
- tags
|
||||
- include-markdown
|
||||
- mkdocstrings:
|
||||
@@ -186,75 +247,6 @@ plugins:
|
||||
- "!^_"
|
||||
|
||||
nav:
|
||||
- Get started:
|
||||
- index.md
|
||||
- Quickstarts:
|
||||
- Start with a prebuilt agent: agents/agents.md
|
||||
- Build a custom workflow:
|
||||
- concepts/why-langgraph.md
|
||||
- 1. Build a basic chatbot: tutorials/get-started/1-build-basic-chatbot.md
|
||||
- 2. Add tools: tutorials/get-started/2-add-tools.md
|
||||
- 3. Add memory: tutorials/get-started/3-add-memory.md
|
||||
- 4. Add human-in-the-loop: tutorials/get-started/4-human-in-the-loop.md
|
||||
- 5. Customize state: tutorials/get-started/5-customize-state.md
|
||||
- 6. Time travel: tutorials/get-started/6-time-travel.md
|
||||
- Run a local server: tutorials/langgraph-platform/local-server.md
|
||||
- General concepts:
|
||||
- Workflows & agents: tutorials/workflows.md
|
||||
- Agent architectures: concepts/agentic_concepts.md
|
||||
|
||||
- Guides:
|
||||
- guides/index.md
|
||||
- Agent development:
|
||||
- Overview: agents/overview.md
|
||||
- Run an agent: agents/run_agents.md
|
||||
- LangGraph APIs:
|
||||
- Graph API:
|
||||
- Overview: concepts/low_level.md
|
||||
- Use the Graph API: how-tos/graph-api.md
|
||||
- Functional API:
|
||||
- Overview: concepts/functional_api.md
|
||||
- Use the Functional API: how-tos/use-functional-api.md
|
||||
- Runtime: concepts/pregel.md
|
||||
- Core capabilities:
|
||||
- Streaming:
|
||||
- Overview: concepts/streaming.md
|
||||
- Stream outputs: how-tos/streaming.md
|
||||
- Persistence:
|
||||
- Overview: concepts/persistence.md
|
||||
- Durable execution:
|
||||
- Overview: concepts/durable_execution.md
|
||||
- Memory:
|
||||
- Overview: concepts/memory.md
|
||||
- Add memory: how-tos/memory/add-memory.md
|
||||
- Context:
|
||||
- Add context: agents/context.md
|
||||
- Models:
|
||||
- Configure model: agents/models.md
|
||||
- Tools:
|
||||
- Overview: concepts/tools.md
|
||||
- Call tools: how-tos/tool-calling.md
|
||||
- Human-in-the-loop:
|
||||
- Overview: concepts/human_in_the_loop.md
|
||||
- Add human intervention: how-tos/human_in_the_loop/add-human-in-the-loop.md
|
||||
- Time travel:
|
||||
- Overview: concepts/time-travel.md
|
||||
- Use time travel: how-tos/human_in_the_loop/time-travel.md
|
||||
- Subgraphs:
|
||||
- Overview: concepts/subgraphs.md
|
||||
- Use subgraphs: how-tos/subgraph.md
|
||||
- Multi-agent:
|
||||
- Overview: concepts/multi_agent.md
|
||||
- Prebuilt implementation: agents/multi-agent.md
|
||||
- Custom implementation: how-tos/multi_agent.md
|
||||
- MCP:
|
||||
- Overview: concepts/mcp.md
|
||||
- Use MCP: agents/mcp.md
|
||||
- Tracing:
|
||||
- Overview: concepts/tracing.md
|
||||
- Enable tracing: how-tos/enable-tracing.md
|
||||
- Evaluate performance: agents/evals.md
|
||||
|
||||
- Reference:
|
||||
- reference/index.md
|
||||
- LangGraph:
|
||||
@@ -278,35 +270,7 @@ nav:
|
||||
- LangGraph Platform:
|
||||
- SDK (Python): cloud/reference/sdk/python_sdk_ref.md
|
||||
- SDK (JS/TS): https://langchain-ai.github.io/langgraphjs/reference/modules/sdk.html
|
||||
- RemoteGraph: reference/remote_graph.md
|
||||
|
||||
- Examples:
|
||||
- examples/index.md
|
||||
- Template applications: concepts/template_applications.md # TODO: make tutorial
|
||||
- Agentic RAG: tutorials/rag/langgraph_agentic_rag.md
|
||||
- Agent Supervisor: tutorials/multi_agent/agent_supervisor.md
|
||||
- SQL agent: tutorials/sql/sql-agent.md
|
||||
- Prebuilt chat UI: agents/ui.md
|
||||
- Graph runs in LangSmith: how-tos/run-id-langsmith.md
|
||||
|
||||
- Additional resources:
|
||||
- additional-resources/index.md
|
||||
- agents/prebuilt.md # NOTE: prebuilt.md is auto-generated by `make build-prebuilt`
|
||||
- LangGraph Academy course: https://academy.langchain.com/courses/intro-to-langgraph
|
||||
- Case studies: adopters.md
|
||||
- concepts/faq.md
|
||||
- llms.txt: llms-txt-overview.md
|
||||
- LangChain Forum: https://forum.langchain.com/
|
||||
- Troubleshooting:
|
||||
- Errors:
|
||||
- troubleshooting/errors/index.md
|
||||
- troubleshooting/errors/GRAPH_RECURSION_LIMIT.md
|
||||
- troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE.md
|
||||
- troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE.md
|
||||
- troubleshooting/errors/MULTIPLE_SUBGRAPHS.md
|
||||
- troubleshooting/errors/INVALID_CHAT_HISTORY.md
|
||||
- troubleshooting/errors/INVALID_LICENSE.md
|
||||
|
||||
- RemoteGraph: reference/remote_graph.md
|
||||
|
||||
markdown_extensions:
|
||||
- abbr
|
||||
|
||||
@@ -94,6 +94,7 @@ class PostgresSaver(BasePostgresSaver):
|
||||
for v, migration in zip(
|
||||
range(version + 1, len(self.MIGRATIONS)),
|
||||
self.MIGRATIONS[version + 1 :],
|
||||
strict=False,
|
||||
):
|
||||
cur.execute(migration)
|
||||
cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
|
||||
@@ -115,12 +116,12 @@ class PostgresSaver(BasePostgresSaver):
|
||||
|
||||
Args:
|
||||
config: The config to use for listing the checkpoints.
|
||||
filter: Additional filtering criteria for metadata. Defaults to None.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
|
||||
limit: The maximum number of checkpoints to return. Defaults to None.
|
||||
filter: Additional filtering criteria for metadata.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned.
|
||||
limit: The maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
|
||||
An iterator of checkpoint tuples.
|
||||
|
||||
Examples:
|
||||
>>> from langgraph.checkpoint.postgres import PostgresSaver
|
||||
@@ -182,7 +183,7 @@ class PostgresSaver(BasePostgresSaver):
|
||||
"""Get a checkpoint tuple from the database.
|
||||
|
||||
This method retrieves a checkpoint tuple from the Postgres database based on the
|
||||
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
|
||||
provided config. If the config contains a `checkpoint_id` key, the checkpoint with
|
||||
the matching thread ID and timestamp is retrieved. Otherwise, the latest checkpoint
|
||||
for the given thread ID is retrieved.
|
||||
|
||||
@@ -190,7 +191,7 @@ class PostgresSaver(BasePostgresSaver):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
|
||||
Examples:
|
||||
|
||||
|
||||
@@ -2,13 +2,12 @@
|
||||
|
||||
from collections.abc import AsyncIterator
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import Union
|
||||
|
||||
from psycopg import AsyncConnection
|
||||
from psycopg.rows import DictRow
|
||||
from psycopg_pool import AsyncConnectionPool
|
||||
|
||||
Conn = Union[AsyncConnection[DictRow], AsyncConnectionPool[AsyncConnection[DictRow]]]
|
||||
Conn = AsyncConnection[DictRow] | AsyncConnectionPool[AsyncConnection[DictRow]]
|
||||
|
||||
|
||||
@asynccontextmanager
|
||||
|
||||
@@ -2,13 +2,12 @@
|
||||
|
||||
from collections.abc import Iterator
|
||||
from contextlib import contextmanager
|
||||
from typing import Union
|
||||
|
||||
from psycopg import Connection
|
||||
from psycopg.rows import DictRow
|
||||
from psycopg_pool import ConnectionPool
|
||||
|
||||
Conn = Union[Connection[DictRow], ConnectionPool[Connection[DictRow]]]
|
||||
Conn = Connection[DictRow] | ConnectionPool[Connection[DictRow]]
|
||||
|
||||
|
||||
@contextmanager
|
||||
|
||||
@@ -99,6 +99,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
for v, migration in zip(
|
||||
range(version + 1, len(self.MIGRATIONS)),
|
||||
self.MIGRATIONS[version + 1 :],
|
||||
strict=False,
|
||||
):
|
||||
await cur.execute(migration)
|
||||
await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
|
||||
@@ -121,11 +122,11 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
Args:
|
||||
config: Base configuration for filtering checkpoints.
|
||||
filter: Additional filtering criteria for metadata.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned.
|
||||
limit: Maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
|
||||
An asynchronous iterator of matching checkpoint tuples.
|
||||
"""
|
||||
where, args = self._search_where(config, filter, before)
|
||||
query = self.SELECT_SQL + where + " ORDER BY checkpoint_id DESC"
|
||||
@@ -169,7 +170,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
"""Get a checkpoint tuple from the database asynchronously.
|
||||
|
||||
This method retrieves a checkpoint tuple from the Postgres database based on the
|
||||
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
|
||||
provided config. If the config contains a `checkpoint_id` key, the checkpoint with
|
||||
the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
|
||||
for the given thread ID is retrieved.
|
||||
|
||||
@@ -177,7 +178,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_id = get_checkpoint_id(config)
|
||||
@@ -444,11 +445,11 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
Args:
|
||||
config: Base configuration for filtering checkpoints.
|
||||
filter: Additional filtering criteria for metadata.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned.
|
||||
limit: Maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
|
||||
An iterator of matching checkpoint tuples.
|
||||
"""
|
||||
try:
|
||||
# check if we are in the main thread, only bg threads can block
|
||||
@@ -476,7 +477,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
"""Get a checkpoint tuple from the database.
|
||||
|
||||
This method retrieves a checkpoint tuple from the Postgres database based on the
|
||||
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
|
||||
provided config. If the config contains a `checkpoint_id` key, the checkpoint with
|
||||
the matching thread ID and "checkpoint_id" is retrieved. Otherwise, the latest checkpoint
|
||||
for the given thread ID is retrieved.
|
||||
|
||||
@@ -484,7 +485,7 @@ class AsyncPostgresSaver(BasePostgresSaver):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
try:
|
||||
# check if we are in the main thread, only bg threads can block
|
||||
|
||||
@@ -4,7 +4,7 @@ import random
|
||||
import warnings
|
||||
from collections.abc import Sequence
|
||||
from importlib.metadata import version as get_version
|
||||
from typing import Any, Optional, cast
|
||||
from typing import Any, cast
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
@@ -16,7 +16,7 @@ from langgraph.checkpoint.base import (
|
||||
from langgraph.checkpoint.serde.types import TASKS
|
||||
from psycopg.types.json import Jsonb
|
||||
|
||||
MetadataInput = Optional[dict[str, Any]]
|
||||
MetadataInput = dict[str, Any] | None
|
||||
|
||||
try:
|
||||
major, minor = get_version("langgraph").split(".")[:2]
|
||||
|
||||
@@ -3,7 +3,7 @@ import threading
|
||||
import warnings
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from contextlib import asynccontextmanager, contextmanager
|
||||
from typing import Any, Optional
|
||||
from typing import Any
|
||||
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
from langgraph.checkpoint.base import (
|
||||
@@ -151,7 +151,7 @@ def _dump_blobs(
|
||||
checkpoint_ns: str,
|
||||
values: dict[str, Any],
|
||||
versions: ChannelVersions,
|
||||
) -> list[tuple[str, str, str, str, Optional[bytes]]]:
|
||||
) -> list[tuple[str, str, str, str, bytes | None]]:
|
||||
if not versions:
|
||||
return []
|
||||
|
||||
@@ -186,8 +186,8 @@ class ShallowPostgresSaver(BasePostgresSaver):
|
||||
def __init__(
|
||||
self,
|
||||
conn: _internal.Conn,
|
||||
pipe: Optional[Pipeline] = None,
|
||||
serde: Optional[SerializerProtocol] = None,
|
||||
pipe: Pipeline | None = None,
|
||||
serde: SerializerProtocol | None = None,
|
||||
) -> None:
|
||||
warnings.warn(
|
||||
"ShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
|
||||
@@ -249,6 +249,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
|
||||
for v, migration in zip(
|
||||
range(version + 1, len(self.MIGRATIONS)),
|
||||
self.MIGRATIONS[version + 1 :],
|
||||
strict=False,
|
||||
):
|
||||
cur.execute(migration)
|
||||
cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
|
||||
@@ -257,11 +258,11 @@ class ShallowPostgresSaver(BasePostgresSaver):
|
||||
|
||||
def list(
|
||||
self,
|
||||
config: Optional[RunnableConfig],
|
||||
config: RunnableConfig | None,
|
||||
*,
|
||||
filter: Optional[dict[str, Any]] = None,
|
||||
before: Optional[RunnableConfig] = None,
|
||||
limit: Optional[int] = None,
|
||||
filter: dict[str, Any] | None = None,
|
||||
before: RunnableConfig | None = None,
|
||||
limit: int | None = None,
|
||||
) -> Iterator[CheckpointTuple]:
|
||||
"""List checkpoints from the database.
|
||||
|
||||
@@ -299,7 +300,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
|
||||
pending_writes=self._load_writes(value["pending_writes"]),
|
||||
)
|
||||
|
||||
def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
|
||||
def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Get a checkpoint tuple from the database.
|
||||
|
||||
This method retrieves a checkpoint tuple from the Postgres database based on the
|
||||
@@ -309,7 +310,7 @@ class ShallowPostgresSaver(BasePostgresSaver):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
|
||||
Examples:
|
||||
|
||||
@@ -542,8 +543,8 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
def __init__(
|
||||
self,
|
||||
conn: _ainternal.Conn,
|
||||
pipe: Optional[AsyncPipeline] = None,
|
||||
serde: Optional[SerializerProtocol] = None,
|
||||
pipe: AsyncPipeline | None = None,
|
||||
serde: SerializerProtocol | None = None,
|
||||
) -> None:
|
||||
warnings.warn(
|
||||
"AsyncShallowPostgresSaver is deprecated as of version 2.0.20 and will be removed in 3.0.0. "
|
||||
@@ -570,7 +571,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
conn_string: str,
|
||||
*,
|
||||
pipeline: bool = False,
|
||||
serde: Optional[SerializerProtocol] = None,
|
||||
serde: SerializerProtocol | None = None,
|
||||
) -> AsyncIterator["AsyncShallowPostgresSaver"]:
|
||||
"""Create a new AsyncShallowPostgresSaver instance from a connection string.
|
||||
|
||||
@@ -610,6 +611,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
for v, migration in zip(
|
||||
range(version + 1, len(self.MIGRATIONS)),
|
||||
self.MIGRATIONS[version + 1 :],
|
||||
strict=False,
|
||||
):
|
||||
await cur.execute(migration)
|
||||
await cur.execute(f"INSERT INTO checkpoint_migrations (v) VALUES ({v})")
|
||||
@@ -618,11 +620,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
|
||||
async def alist(
|
||||
self,
|
||||
config: Optional[RunnableConfig],
|
||||
config: RunnableConfig | None,
|
||||
*,
|
||||
filter: Optional[dict[str, Any]] = None,
|
||||
before: Optional[RunnableConfig] = None,
|
||||
limit: Optional[int] = None,
|
||||
filter: dict[str, Any] | None = None,
|
||||
before: RunnableConfig | None = None,
|
||||
limit: int | None = None,
|
||||
) -> AsyncIterator[CheckpointTuple]:
|
||||
"""List checkpoints from the database asynchronously.
|
||||
|
||||
@@ -662,7 +664,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
),
|
||||
)
|
||||
|
||||
async def aget_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
|
||||
async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Get a checkpoint tuple from the database asynchronously.
|
||||
|
||||
This method retrieves a checkpoint tuple from the Postgres database based on the
|
||||
@@ -672,7 +674,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
thread_id = config["configurable"]["thread_id"]
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
@@ -861,11 +863,11 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
|
||||
def list(
|
||||
self,
|
||||
config: Optional[RunnableConfig],
|
||||
config: RunnableConfig | None,
|
||||
*,
|
||||
filter: Optional[dict[str, Any]] = None,
|
||||
before: Optional[RunnableConfig] = None,
|
||||
limit: Optional[int] = None,
|
||||
filter: dict[str, Any] | None = None,
|
||||
before: RunnableConfig | None = None,
|
||||
limit: int | None = None,
|
||||
) -> Iterator[CheckpointTuple]:
|
||||
"""List checkpoints from the database.
|
||||
|
||||
@@ -883,7 +885,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
except StopAsyncIteration:
|
||||
break
|
||||
|
||||
def get_tuple(self, config: RunnableConfig) -> Optional[CheckpointTuple]:
|
||||
def get_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Get a checkpoint tuple from the database.
|
||||
|
||||
This method retrieves a checkpoint tuple from the Postgres database based on the
|
||||
@@ -893,7 +895,7 @@ class AsyncShallowPostgresSaver(BasePostgresSaver):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
try:
|
||||
# check if we are in the main thread, only bg threads can block
|
||||
|
||||
@@ -2,10 +2,10 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import logging
|
||||
from collections.abc import AsyncIterator, Iterable, Sequence
|
||||
from collections.abc import AsyncIterator, Callable, Iterable, Sequence
|
||||
from contextlib import asynccontextmanager
|
||||
from types import TracebackType
|
||||
from typing import Any, Callable, cast
|
||||
from typing import Any, cast
|
||||
|
||||
import orjson
|
||||
from langgraph.store.base import (
|
||||
@@ -339,7 +339,7 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
|
||||
|
||||
Args:
|
||||
timeout: Maximum time to wait for the task to stop, in seconds.
|
||||
If None, wait indefinitely.
|
||||
If `None`, wait indefinitely.
|
||||
|
||||
Returns:
|
||||
bool: True if the task was successfully stopped or wasn't running,
|
||||
@@ -465,7 +465,9 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
|
||||
query,
|
||||
[
|
||||
p
|
||||
for (ns, k, pathname, _), vector in zip(txt_params, vectors)
|
||||
for (ns, k, pathname, _), vector in zip(
|
||||
txt_params, vectors, strict=False
|
||||
)
|
||||
for p in (ns, k, pathname, vector)
|
||||
],
|
||||
)
|
||||
@@ -486,13 +488,13 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
|
||||
vectors = await self.embeddings.aembed_documents(
|
||||
[query for _, query in embedding_requests]
|
||||
)
|
||||
for (idx, _), vector in zip(embedding_requests, vectors):
|
||||
for (idx, _), vector in zip(embedding_requests, vectors, strict=False):
|
||||
_paramslist = queries[idx][1]
|
||||
for i in range(len(_paramslist)):
|
||||
if _paramslist[i] is PLACEHOLDER:
|
||||
_paramslist[i] = vector
|
||||
|
||||
for (idx, _), (query, params) in zip(search_ops, queries):
|
||||
for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
|
||||
await cur.execute(query, params)
|
||||
rows = cast(list[Row], await cur.fetchall())
|
||||
items = [
|
||||
@@ -510,7 +512,7 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
|
||||
cur: AsyncCursor[DictRow],
|
||||
) -> None:
|
||||
queries = self._get_batch_list_namespaces_queries(list_ops)
|
||||
for (query, params), (idx, _) in zip(queries, list_ops):
|
||||
for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
|
||||
await cur.execute(query, params)
|
||||
rows = cast(list[dict], await cur.fetchall())
|
||||
namespaces = [_decode_ns_bytes(row["truncated_prefix"]) for row in rows]
|
||||
|
||||
@@ -6,18 +6,16 @@ import json
|
||||
import logging
|
||||
import threading
|
||||
from collections import defaultdict
|
||||
from collections.abc import Iterable, Iterator, Sequence
|
||||
from collections.abc import Callable, Iterable, Iterator, Sequence
|
||||
from contextlib import contextmanager
|
||||
from datetime import datetime
|
||||
from typing import (
|
||||
TYPE_CHECKING,
|
||||
Any,
|
||||
Callable,
|
||||
Generic,
|
||||
Literal,
|
||||
NamedTuple,
|
||||
TypeVar,
|
||||
Union,
|
||||
cast,
|
||||
)
|
||||
|
||||
@@ -141,7 +139,7 @@ CREATE INDEX CONCURRENTLY IF NOT EXISTS store_vectors_embedding_idx ON store_vec
|
||||
]
|
||||
|
||||
|
||||
C = TypeVar("C", bound=Union[_pg_internal.Conn, _ainternal.Conn])
|
||||
C = TypeVar("C", bound=_pg_internal.Conn | _ainternal.Conn)
|
||||
|
||||
|
||||
class PoolConfig(TypedDict, total=False):
|
||||
@@ -255,7 +253,7 @@ class BasePostgresStore(Generic[C]):
|
||||
|
||||
results = []
|
||||
for namespace, items in namespace_groups.items():
|
||||
_, keys = zip(*items)
|
||||
_, keys = zip(*items, strict=False)
|
||||
this_refresh_ttls = refresh_ttls[namespace]
|
||||
|
||||
query = """
|
||||
@@ -868,7 +866,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
|
||||
Args:
|
||||
timeout: Maximum time to wait for the thread to stop, in seconds.
|
||||
If None, wait indefinitely.
|
||||
If `None`, wait indefinitely.
|
||||
|
||||
Returns:
|
||||
bool: True if the thread was successfully stopped or wasn't running,
|
||||
@@ -1014,7 +1012,9 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
query,
|
||||
[
|
||||
p
|
||||
for (ns, k, pathname, _), vector in zip(txt_params, vectors)
|
||||
for (ns, k, pathname, _), vector in zip(
|
||||
txt_params, vectors, strict=False
|
||||
)
|
||||
for p in (ns, k, pathname, vector)
|
||||
],
|
||||
)
|
||||
@@ -1035,13 +1035,15 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
embeddings = self.embeddings.embed_documents(
|
||||
[query for _, query in embedding_requests]
|
||||
)
|
||||
for (idx, _), embedding in zip(embedding_requests, embeddings):
|
||||
for (idx, _), embedding in zip(
|
||||
embedding_requests, embeddings, strict=False
|
||||
):
|
||||
_paramslist = queries[idx][1]
|
||||
for i in range(len(_paramslist)):
|
||||
if _paramslist[i] is PLACEHOLDER:
|
||||
_paramslist[i] = embedding
|
||||
|
||||
for (idx, _), (query, params) in zip(search_ops, queries):
|
||||
for (idx, _), (query, params) in zip(search_ops, queries, strict=False):
|
||||
cur.execute(query, params)
|
||||
rows = cast(list[Row], cur.fetchall())
|
||||
results[idx] = [
|
||||
@@ -1058,7 +1060,7 @@ class PostgresStore(BaseStore, BasePostgresStore[_pg_internal.Conn]):
|
||||
cur: Cursor[DictRow],
|
||||
) -> None:
|
||||
for (query, params), (idx, _) in zip(
|
||||
self._get_batch_list_namespaces_queries(list_ops), list_ops
|
||||
self._get_batch_list_namespaces_queries(list_ops), list_ops, strict=False
|
||||
):
|
||||
cur.execute(query, params)
|
||||
results[idx] = [_decode_ns_bytes(row["truncated_prefix"]) for row in cur]
|
||||
|
||||
@@ -7,7 +7,7 @@ name = "langgraph-checkpoint-postgres"
|
||||
version = "2.0.25"
|
||||
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
|
||||
authors = []
|
||||
requires-python = ">=3.9"
|
||||
requires-python = ">=3.10"
|
||||
readme = "README.md"
|
||||
license = "MIT"
|
||||
license-files = ['LICENSE']
|
||||
@@ -55,8 +55,10 @@ lint.select = [
|
||||
"UP", # pyupgrade
|
||||
"B", # flake8-bugbear
|
||||
"I", # isort
|
||||
"UP", # pyupgrade
|
||||
]
|
||||
lint.ignore = ["E501", "B008"]
|
||||
target-version = "py310"
|
||||
|
||||
[tool.mypy]
|
||||
# https://mypy.readthedocs.io/en/stable/config_file.html
|
||||
|
||||
@@ -3,7 +3,6 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import itertools
|
||||
import sys
|
||||
import uuid
|
||||
from collections.abc import AsyncIterator
|
||||
from concurrent.futures import ThreadPoolExecutor
|
||||
@@ -34,9 +33,6 @@ TTL_MINUTES = TTL_SECONDS / 60
|
||||
|
||||
@pytest.fixture(scope="function", params=["default", "pipe", "pool"])
|
||||
async def store(request) -> AsyncIterator[AsyncPostgresStore]:
|
||||
if sys.version_info < (3, 10):
|
||||
pytest.skip("Async Postgres tests require Python 3.10+")
|
||||
|
||||
database = f"test_{uuid.uuid4().hex[:16]}"
|
||||
uri_parts = DEFAULT_URI.split("/")
|
||||
uri_base = "/".join(uri_parts[:-1])
|
||||
@@ -358,8 +354,6 @@ async def _create_vector_store(
|
||||
text_fields: list[str] | None = None,
|
||||
) -> AsyncIterator[AsyncPostgresStore]:
|
||||
"""Create a store with vector search enabled."""
|
||||
if sys.version_info < (3, 10):
|
||||
pytest.skip("Async Postgres tests require Python 3.10+")
|
||||
|
||||
database = f"test_{uuid.uuid4().hex[:16]}"
|
||||
uri_parts = DEFAULT_URI.split("/")
|
||||
|
||||
@@ -754,7 +754,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
|
||||
|
||||
similarities = []
|
||||
for y in Y:
|
||||
dot_product = sum(a * b for a, b in zip(X, y))
|
||||
dot_product = sum(a * b for a, b in zip(X, y, strict=False))
|
||||
norm1 = sum(a * a for a in X) ** 0.5
|
||||
norm2 = sum(a * a for a in y) ** 0.5
|
||||
similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
|
||||
@@ -771,7 +771,7 @@ def _inner_product(X: list[float], Y: list[list[float]]) -> list[float]:
|
||||
|
||||
similarities = []
|
||||
for y in Y:
|
||||
similarity = sum(a * b for a, b in zip(X, y))
|
||||
similarity = sum(a * b for a, b in zip(X, y, strict=False))
|
||||
similarities.append(similarity)
|
||||
|
||||
return similarities
|
||||
@@ -785,7 +785,7 @@ def _neg_l2_distance(X: list[float], Y: list[list[float]]) -> list[float]:
|
||||
|
||||
similarities = []
|
||||
for y in Y:
|
||||
similarity = sum((a - b) ** 2 for a, b in zip(X, y)) ** 0.5
|
||||
similarity = sum((a - b) ** 2 for a, b in zip(X, y, strict=False)) ** 0.5
|
||||
similarities.append(-similarity)
|
||||
|
||||
return similarities
|
||||
|
||||
Generated
+2
-101
@@ -1,6 +1,6 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.9"
|
||||
revision = 2
|
||||
requires-python = ">=3.10"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
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@@ -105,17 +105,6 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/ce/d6/7e805c8e5c46ff9729c49950acc4ee0aeb55efb8b3a56687658ad10c3216/charset_normalizer-3.4.3-cp39-cp39-win_amd64.whl", hash = "sha256:d22dbedd33326a4a5190dd4fe9e9e693ef12160c77382d9e87919bce54f3d4ca", size = 107438, upload-time = "2025-08-09T07:57:25.287Z" },
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{ url = "https://files.pythonhosted.org/packages/8a/1f/f041989e93b001bc4e44bb1669ccdcf54d3f00e628229a85b08d330615c5/charset_normalizer-3.4.3-py3-none-any.whl", hash = "sha256:ce571ab16d890d23b5c278547ba694193a45011ff86a9162a71307ed9f86759a", size = 53175, upload-time = "2025-08-09T07:57:26.864Z" },
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]
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||||
@@ -381,12 +370,6 @@ wheels = [
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||||
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@@ -474,19 +457,6 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/b8/e9/29cc59d4a9d51b3fd8b477d858d0bd7ab627f700908bf1517f46ddd470ae/zstandard-0.25.0-cp39-cp39-win32.whl", hash = "sha256:1cd5da4d8e8ee0e88be976c294db744773459d51bb32f707a0f166e5ad5c8649", size = 436460, upload-time = "2025-09-14T22:18:49.077Z" },
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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" },
|
||||
]
|
||||
|
||||
@@ -184,7 +184,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
|
||||
"""Get a checkpoint tuple from the database.
|
||||
|
||||
This method retrieves a checkpoint tuple from the SQLite database based on the
|
||||
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
|
||||
provided config. If the config contains a `checkpoint_id` key, the checkpoint with
|
||||
the matching thread ID and checkpoint ID is retrieved. Otherwise, the latest checkpoint
|
||||
for the given thread ID is retrieved.
|
||||
|
||||
@@ -192,7 +192,7 @@ class SqliteSaver(BaseCheckpointSaver[str]):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
|
||||
Examples:
|
||||
|
||||
@@ -301,12 +301,12 @@ class SqliteSaver(BaseCheckpointSaver[str]):
|
||||
|
||||
Args:
|
||||
config: The config to use for listing the checkpoints.
|
||||
filter: Additional filtering criteria for metadata. Defaults to None.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
|
||||
limit: The maximum number of checkpoints to return. Defaults to None.
|
||||
filter: Additional filtering criteria for metadata.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned.
|
||||
limit: The maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
Iterator[CheckpointTuple]: An iterator of checkpoint tuples.
|
||||
An iterator of checkpoint tuples.
|
||||
|
||||
Examples:
|
||||
>>> from langgraph.checkpoint.sqlite import SqliteSaver
|
||||
|
||||
@@ -2,9 +2,9 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import random
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import Any, Callable, TypeVar, cast
|
||||
from typing import Any, TypeVar, cast
|
||||
|
||||
import aiosqlite
|
||||
from langchain_core.runnables import RunnableConfig
|
||||
@@ -139,7 +139,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
"""Get a checkpoint tuple from the database.
|
||||
|
||||
This method retrieves a checkpoint tuple from the SQLite database based on the
|
||||
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
|
||||
provided config. If the config contains a `checkpoint_id` key, the checkpoint with
|
||||
the matching thread ID and checkpoint ID is retrieved. Otherwise, the latest checkpoint
|
||||
for the given thread ID is retrieved.
|
||||
|
||||
@@ -147,7 +147,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
try:
|
||||
# check if we are in the main thread, only bg threads can block
|
||||
@@ -181,11 +181,11 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
Args:
|
||||
config: Base configuration for filtering checkpoints.
|
||||
filter: Additional filtering criteria for metadata.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned.
|
||||
limit: Maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
|
||||
An iterator of matching checkpoint tuples.
|
||||
"""
|
||||
try:
|
||||
# check if we are in the main thread, only bg threads can block
|
||||
@@ -316,7 +316,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
"""Get a checkpoint tuple from the database asynchronously.
|
||||
|
||||
This method retrieves a checkpoint tuple from the SQLite database based on the
|
||||
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
|
||||
provided config. If the config contains a `checkpoint_id` key, the checkpoint with
|
||||
the matching thread ID and checkpoint ID is retrieved. Otherwise, the latest checkpoint
|
||||
for the given thread ID is retrieved.
|
||||
|
||||
@@ -324,7 +324,7 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
await self.setup()
|
||||
checkpoint_ns = config["configurable"].get("checkpoint_ns", "")
|
||||
@@ -414,11 +414,11 @@ class AsyncSqliteSaver(BaseCheckpointSaver[str]):
|
||||
Args:
|
||||
config: Base configuration for filtering checkpoints.
|
||||
filter: Additional filtering criteria for metadata.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned. Defaults to None.
|
||||
before: If provided, only checkpoints before the specified checkpoint ID are returned.
|
||||
limit: Maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
AsyncIterator[CheckpointTuple]: An asynchronous iterator of matching checkpoint tuples.
|
||||
An asynchronous iterator of matching checkpoint tuples.
|
||||
"""
|
||||
await self.setup()
|
||||
where, params = search_where(config, filter, before)
|
||||
|
||||
@@ -3,10 +3,10 @@ from __future__ import annotations
|
||||
import asyncio
|
||||
import logging
|
||||
from collections import defaultdict
|
||||
from collections.abc import AsyncIterator, Iterable, Sequence
|
||||
from collections.abc import AsyncIterator, Callable, Iterable, Sequence
|
||||
from contextlib import asynccontextmanager
|
||||
from types import TracebackType
|
||||
from typing import Any, Callable, cast
|
||||
from typing import Any, cast
|
||||
|
||||
import aiosqlite
|
||||
import orjson
|
||||
@@ -303,7 +303,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
|
||||
|
||||
Args:
|
||||
timeout: Maximum time to wait for the task to stop, in seconds.
|
||||
If None, wait indefinitely.
|
||||
If `None`, wait indefinitely.
|
||||
|
||||
Returns:
|
||||
bool: True if the task was successfully stopped or wasn't running,
|
||||
@@ -484,7 +484,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
|
||||
|
||||
# Convert vectors to SQLite-friendly format
|
||||
vector_params = []
|
||||
for (ns, k, pathname, _), vector in zip(txt_params, vectors):
|
||||
for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
|
||||
vector_params.extend(
|
||||
[ns, k, pathname, sqlite_vec.serialize_float32(vector)]
|
||||
)
|
||||
@@ -517,7 +517,9 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
|
||||
[query for _, query in embedding_requests]
|
||||
)
|
||||
|
||||
for (embed_req_idx, _), embedding in zip(embedding_requests, vectors):
|
||||
for (embed_req_idx, _), embedding in zip(
|
||||
embedding_requests, vectors, strict=False
|
||||
):
|
||||
# Find the corresponding query in prepared_queries
|
||||
# The embed_req_idx is the original index in search_ops, which should map to prepared_queries
|
||||
if embed_req_idx < len(prepared_queries):
|
||||
@@ -531,7 +533,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
|
||||
)
|
||||
|
||||
for (original_op_idx, _), (query, params, needs_refresh) in zip(
|
||||
search_ops, prepared_queries
|
||||
search_ops, prepared_queries, strict=False
|
||||
):
|
||||
await cur.execute(query, params)
|
||||
rows = await cur.fetchall()
|
||||
@@ -614,7 +616,7 @@ class AsyncSqliteStore(AsyncBatchedBaseStore, BaseSqliteStore):
|
||||
cur: Database cursor.
|
||||
"""
|
||||
queries = self._get_batch_list_namespaces_queries(list_ops)
|
||||
for (query, params), (idx, _) in zip(queries, list_ops):
|
||||
for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
|
||||
await cur.execute(query, params)
|
||||
|
||||
rows = await cur.fetchall()
|
||||
|
||||
@@ -7,9 +7,9 @@ import re
|
||||
import sqlite3
|
||||
import threading
|
||||
from collections import defaultdict
|
||||
from collections.abc import Iterable, Iterator, Sequence
|
||||
from collections.abc import Callable, Iterable, Iterator, Sequence
|
||||
from contextlib import contextmanager
|
||||
from typing import Any, Callable, Literal, NamedTuple, cast
|
||||
from typing import Any, Literal, NamedTuple, cast
|
||||
|
||||
import orjson
|
||||
import sqlite_vec # type: ignore[import-untyped]
|
||||
@@ -232,7 +232,7 @@ class BaseSqliteStore:
|
||||
|
||||
results = []
|
||||
for namespace, items in namespace_groups.items():
|
||||
_, keys = zip(*items)
|
||||
_, keys = zip(*items, strict=False)
|
||||
this_refresh_ttls = refresh_ttls[namespace]
|
||||
refresh_ttl_any = any(this_refresh_ttls)
|
||||
|
||||
@@ -829,7 +829,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
|
||||
|
||||
results = []
|
||||
for namespace, items in namespace_groups.items():
|
||||
_, keys = zip(*items)
|
||||
_, keys = zip(*items, strict=False)
|
||||
this_refresh_ttls = refresh_ttls[namespace]
|
||||
refresh_ttl_any = any(this_refresh_ttls)
|
||||
|
||||
@@ -1156,7 +1156,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
|
||||
|
||||
Args:
|
||||
timeout: Maximum time to wait for the thread to stop, in seconds.
|
||||
If None, wait indefinitely.
|
||||
If `None`, wait indefinitely.
|
||||
|
||||
Returns:
|
||||
bool: True if the thread was successfully stopped or wasn't running,
|
||||
@@ -1304,7 +1304,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
|
||||
|
||||
# Convert vectors to SQLite-friendly format
|
||||
vector_params = []
|
||||
for (ns, k, pathname, _), vector in zip(txt_params, vectors):
|
||||
for (ns, k, pathname, _), vector in zip(txt_params, vectors, strict=False):
|
||||
vector_params.extend(
|
||||
[ns, k, pathname, sqlite_vec.serialize_float32(vector)]
|
||||
)
|
||||
@@ -1332,7 +1332,9 @@ class SqliteStore(BaseSqliteStore, BaseStore):
|
||||
)
|
||||
|
||||
# Replace placeholders with actual embeddings
|
||||
for (embed_req_idx, _), embedding in zip(embedding_requests, embeddings):
|
||||
for (embed_req_idx, _), embedding in zip(
|
||||
embedding_requests, embeddings, strict=False
|
||||
):
|
||||
if embed_req_idx < len(prepared_queries):
|
||||
_params_list: list = prepared_queries[embed_req_idx][1]
|
||||
for i, param in enumerate(_params_list):
|
||||
@@ -1344,7 +1346,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
|
||||
)
|
||||
|
||||
for (original_op_idx, _), (query, params, needs_refresh) in zip(
|
||||
search_ops, prepared_queries
|
||||
search_ops, prepared_queries, strict=False
|
||||
):
|
||||
cur.execute(query, params)
|
||||
rows = cur.fetchall()
|
||||
@@ -1417,7 +1419,7 @@ class SqliteStore(BaseSqliteStore, BaseStore):
|
||||
cur: sqlite3.Cursor,
|
||||
) -> None:
|
||||
queries = self._get_batch_list_namespaces_queries(list_ops)
|
||||
for (query, params), (idx, _) in zip(queries, list_ops):
|
||||
for (query, params), (idx, _) in zip(queries, list_ops, strict=False):
|
||||
cur.execute(query, params)
|
||||
results[idx] = [_decode_ns_text(row[0]) for row in cur.fetchall()]
|
||||
|
||||
|
||||
@@ -7,7 +7,7 @@ name = "langgraph-checkpoint-sqlite"
|
||||
version = "2.0.11"
|
||||
description = "Library with a SQLite implementation of LangGraph checkpoint saver."
|
||||
authors = []
|
||||
requires-python = ">=3.9"
|
||||
requires-python = ">=3.10"
|
||||
readme = "README.md"
|
||||
license = "MIT"
|
||||
license-files = ['LICENSE']
|
||||
@@ -53,8 +53,10 @@ lint.select = [
|
||||
"UP", # pyupgrade
|
||||
"B", # flake8-bugbear
|
||||
"I", # isort
|
||||
"UP", # pyupgrade
|
||||
]
|
||||
lint.ignore = ["E501", "B008"]
|
||||
target-version = "py310"
|
||||
|
||||
[tool.pytest-watcher]
|
||||
now = true
|
||||
|
||||
@@ -5,7 +5,7 @@ import tempfile
|
||||
import uuid
|
||||
from collections.abc import AsyncIterator, Generator, Iterable
|
||||
from contextlib import asynccontextmanager
|
||||
from typing import Optional, Union, cast
|
||||
from typing import cast
|
||||
|
||||
import pytest
|
||||
from langgraph.store.base import (
|
||||
@@ -51,7 +51,7 @@ def fake_embeddings() -> CharacterEmbeddings:
|
||||
async def create_vector_store(
|
||||
fake_embeddings: CharacterEmbeddings,
|
||||
conn_string: str = ":memory:",
|
||||
text_fields: Optional[list[str]] = None,
|
||||
text_fields: list[str] | None = None,
|
||||
) -> AsyncIterator[AsyncSqliteStore]:
|
||||
"""Create an AsyncSqliteStore with vector search capabilities."""
|
||||
index_config: SqliteIndexConfig = {
|
||||
@@ -168,7 +168,7 @@ async def test_abatch_order(store: AsyncSqliteStore) -> None:
|
||||
]
|
||||
|
||||
results = await store.abatch(
|
||||
cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
|
||||
cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
|
||||
)
|
||||
assert len(results) == 5
|
||||
assert isinstance(results[0], Item)
|
||||
@@ -193,7 +193,7 @@ async def test_abatch_order(store: AsyncSqliteStore) -> None:
|
||||
]
|
||||
|
||||
results_reordered = await store.abatch(
|
||||
cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
|
||||
cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops_reordered)
|
||||
)
|
||||
assert len(results_reordered) == 5
|
||||
assert isinstance(results_reordered[0], list)
|
||||
@@ -681,7 +681,7 @@ async def test_search_items(
|
||||
fake_embeddings, text_fields=["key0", "key1", "key3"]
|
||||
) as store:
|
||||
# Insert test data
|
||||
for ns, item in zip(test_namespaces, test_items):
|
||||
for ns, item in zip(test_namespaces, test_items, strict=False):
|
||||
key = f"item_{ns[-1]}"
|
||||
await store.aput(ns, key, item)
|
||||
|
||||
|
||||
@@ -5,7 +5,7 @@ import tempfile
|
||||
import uuid
|
||||
from collections.abc import Generator, Iterable
|
||||
from contextlib import contextmanager
|
||||
from typing import Any, Literal, Optional, Union, cast
|
||||
from typing import Any, Literal, cast
|
||||
|
||||
import pytest
|
||||
from langchain_core.embeddings import Embeddings
|
||||
@@ -110,7 +110,7 @@ VECTOR_TYPES = ["cosine"] # SQLite only supports cosine similarity
|
||||
@contextmanager
|
||||
def create_vector_store(
|
||||
fake_embeddings: CharacterEmbeddings,
|
||||
text_fields: Optional[list[str]] = None,
|
||||
text_fields: list[str] | None = None,
|
||||
distance_type: str = "cosine",
|
||||
conn_type: Literal["memory", "file"] = "memory",
|
||||
) -> Generator[SqliteStore, None, None]:
|
||||
@@ -153,7 +153,7 @@ def test_batch_order(store: SqliteStore) -> None:
|
||||
]
|
||||
|
||||
results = store.batch(
|
||||
cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
|
||||
cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
|
||||
)
|
||||
assert len(results) == 5
|
||||
assert isinstance(results[0], Item)
|
||||
@@ -182,7 +182,7 @@ def test_batch_order(store: SqliteStore) -> None:
|
||||
]
|
||||
|
||||
results_reordered = store.batch(
|
||||
cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops_reordered)
|
||||
cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops_reordered)
|
||||
)
|
||||
assert len(results_reordered) == 5
|
||||
assert isinstance(results_reordered[0], list)
|
||||
@@ -301,7 +301,7 @@ def test_batch_list_namespaces_ops(store: SqliteStore) -> None:
|
||||
]
|
||||
|
||||
results = store.batch(
|
||||
cast(Iterable[Union[GetOp, PutOp, SearchOp, ListNamespacesOp]], ops)
|
||||
cast(Iterable[GetOp | PutOp | SearchOp | ListNamespacesOp], ops)
|
||||
)
|
||||
assert len(results) == 3
|
||||
|
||||
@@ -778,7 +778,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
|
||||
|
||||
similarities = []
|
||||
for y in Y:
|
||||
dot_product = sum(a * b for a, b in zip(X, y))
|
||||
dot_product = sum(a * b for a, b in zip(X, y, strict=False))
|
||||
norm1 = sum(a * a for a in X) ** 0.5
|
||||
norm2 = sum(a * a for a in y) ** 0.5
|
||||
similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
|
||||
@@ -1011,7 +1011,7 @@ def test_search_items(
|
||||
fake_embeddings, text_fields=["key0", "key1", "key3"]
|
||||
) as store:
|
||||
# Insert test data
|
||||
for ns, item in zip(test_namespaces, test_items):
|
||||
for ns, item in zip(test_namespaces, test_items, strict=False):
|
||||
key = f"item_{ns[-1]}"
|
||||
store.put(ns, key, item)
|
||||
|
||||
|
||||
Generated
+2
-92
@@ -1,6 +1,6 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.9"
|
||||
revision = 2
|
||||
requires-python = ">=3.10"
|
||||
|
||||
[[package]]
|
||||
name = "aiosqlite"
|
||||
@@ -117,17 +117,6 @@ wheels = [
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@@ -389,12 +378,6 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/c9/66/b2c0af3b684fa80d1b27501a8bdd3d2daa467ea3992a8aa612f5ca17c2db/mypy-1.18.2-cp39-cp39-win_amd64.whl", hash = "sha256:aa5e07ac1a60a253445797e42b8b2963c9675563a94f11291ab40718b016a7a0", size = 9765635, upload-time = "2025-09-19T00:10:30.993Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/87/e3/be76d87158ebafa0309946c4a73831974d4d6ab4f4ef40c3b53a385a66fd/mypy-1.18.2-py3-none-any.whl", hash = "sha256:22a1748707dd62b58d2ae53562ffc4d7f8bcc727e8ac7cbc69c053ddc874d47e", size = 2352367, upload-time = "2025-09-19T00:10:15.489Z" },
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||||
@@ -482,19 +465,6 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/b8/e9/29cc59d4a9d51b3fd8b477d858d0bd7ab627f700908bf1517f46ddd470ae/zstandard-0.25.0-cp39-cp39-win32.whl", hash = "sha256:1cd5da4d8e8ee0e88be976c294db744773459d51bb32f707a0f166e5ad5c8649", size = 436460, upload-time = "2025-09-14T22:18:49.077Z" },
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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" },
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]
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@@ -8,7 +8,6 @@ from typing import ( # noqa: UP035
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NamedTuple,
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TypedDict,
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TypeVar,
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Union,
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)
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from langchain_core.runnables import RunnableConfig
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@@ -35,17 +34,17 @@ class CheckpointMetadata(TypedDict, total=False):
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source: Literal["input", "loop", "update", "fork"]
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"""The source of the checkpoint.
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- "input": The checkpoint was created from an input to invoke/stream/batch.
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- "loop": The checkpoint was created from inside the pregel loop.
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- "update": The checkpoint was created from a manual state update.
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- "fork": The checkpoint was created as a copy of another checkpoint.
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- `"input"`: The checkpoint was created from an input to invoke/stream/batch.
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- `"loop"`: The checkpoint was created from inside the pregel loop.
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- `"update"`: The checkpoint was created from a manual state update.
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- `"fork"`: The checkpoint was created as a copy of another checkpoint.
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"""
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step: int
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"""The step number of the checkpoint.
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|
||||
-1 for the first "input" checkpoint.
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0 for the first "loop" checkpoint.
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... for the nth checkpoint afterwards.
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`-1` for the first `"input"` checkpoint.
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`0` for the first `"loop"` checkpoint.
|
||||
`...` for the `nth` checkpoint afterwards.
|
||||
"""
|
||||
parents: dict[str, str]
|
||||
"""The IDs of the parent checkpoints.
|
||||
@@ -54,7 +53,7 @@ class CheckpointMetadata(TypedDict, total=False):
|
||||
"""
|
||||
|
||||
|
||||
ChannelVersions = dict[str, Union[str, int, float]]
|
||||
ChannelVersions = dict[str, str | int | float]
|
||||
|
||||
|
||||
class Checkpoint(TypedDict):
|
||||
@@ -148,7 +147,7 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
config: Configuration specifying which checkpoint to retrieve.
|
||||
|
||||
Returns:
|
||||
Optional[Checkpoint]: The requested checkpoint, or None if not found.
|
||||
The requested checkpoint, or `None` if not found.
|
||||
"""
|
||||
if value := self.get_tuple(config):
|
||||
return value.checkpoint
|
||||
@@ -160,7 +159,7 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
config: Configuration specifying which checkpoint to retrieve.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The requested checkpoint tuple, or None if not found.
|
||||
The requested checkpoint tuple, or `None` if not found.
|
||||
|
||||
Raises:
|
||||
NotImplementedError: Implement this method in your custom checkpoint saver.
|
||||
@@ -184,7 +183,7 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
limit: Maximum number of checkpoints to return.
|
||||
|
||||
Returns:
|
||||
Iterator[CheckpointTuple]: Iterator of matching checkpoint tuples.
|
||||
Iterator of matching checkpoint tuples.
|
||||
|
||||
Raises:
|
||||
NotImplementedError: Implement this method in your custom checkpoint saver.
|
||||
@@ -252,7 +251,7 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
config: Configuration specifying which checkpoint to retrieve.
|
||||
|
||||
Returns:
|
||||
Optional[Checkpoint]: The requested checkpoint, or None if not found.
|
||||
The requested checkpoint, or `None` if not found.
|
||||
"""
|
||||
if value := await self.aget_tuple(config):
|
||||
return value.checkpoint
|
||||
@@ -264,7 +263,7 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
config: Configuration specifying which checkpoint to retrieve.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The requested checkpoint tuple, or None if not found.
|
||||
The requested checkpoint tuple, or `None` if not found.
|
||||
|
||||
Raises:
|
||||
NotImplementedError: Implement this method in your custom checkpoint saver.
|
||||
@@ -288,7 +287,7 @@ class BaseCheckpointSaver(Generic[V]):
|
||||
limit: Maximum number of checkpoints to return.
|
||||
|
||||
Returns:
|
||||
AsyncIterator[CheckpointTuple]: Async iterator of matching checkpoint tuples.
|
||||
Async iterator of matching checkpoint tuples.
|
||||
|
||||
Raises:
|
||||
NotImplementedError: Implement this method in your custom checkpoint saver.
|
||||
|
||||
@@ -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.
|
||||
@@ -133,7 +133,7 @@ class InMemorySaver(
|
||||
"""Get a checkpoint tuple from the in-memory storage.
|
||||
|
||||
This method retrieves a checkpoint tuple from the in-memory storage based on the
|
||||
provided config. If the config contains a "checkpoint_id" key, the checkpoint with
|
||||
provided config. If the config contains a `checkpoint_id` key, the checkpoint with
|
||||
the matching thread ID and timestamp is retrieved. Otherwise, the latest checkpoint
|
||||
for the given thread ID is retrieved.
|
||||
|
||||
@@ -141,7 +141,7 @@ class InMemorySaver(
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
thread_id: str = config["configurable"]["thread_id"]
|
||||
checkpoint_ns: str = config["configurable"].get("checkpoint_ns", "")
|
||||
@@ -231,7 +231,7 @@ class InMemorySaver(
|
||||
limit: Maximum number of checkpoints to return.
|
||||
|
||||
Yields:
|
||||
Iterator[CheckpointTuple]: An iterator of matching checkpoint tuples.
|
||||
An iterator of matching checkpoint tuples.
|
||||
"""
|
||||
thread_ids = (config["configurable"]["thread_id"],) if config else self.storage
|
||||
config_checkpoint_ns = (
|
||||
@@ -423,16 +423,16 @@ class InMemorySaver(
|
||||
del self.blobs[k]
|
||||
|
||||
async def aget_tuple(self, config: RunnableConfig) -> CheckpointTuple | None:
|
||||
"""Asynchronous version of get_tuple.
|
||||
"""Asynchronous version of `get_tuple`.
|
||||
|
||||
This method is an asynchronous wrapper around get_tuple that runs the synchronous
|
||||
This method is an asynchronous wrapper around `get_tuple` that runs the synchronous
|
||||
method in a separate thread using asyncio.
|
||||
|
||||
Args:
|
||||
config: The config to use for retrieving the checkpoint.
|
||||
|
||||
Returns:
|
||||
Optional[CheckpointTuple]: The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
The retrieved checkpoint tuple, or None if no matching checkpoint was found.
|
||||
"""
|
||||
return self.get_tuple(config)
|
||||
|
||||
@@ -444,16 +444,16 @@ class InMemorySaver(
|
||||
before: RunnableConfig | None = None,
|
||||
limit: int | None = None,
|
||||
) -> AsyncIterator[CheckpointTuple]:
|
||||
"""Asynchronous version of list.
|
||||
"""Asynchronous version of `list`.
|
||||
|
||||
This method is an asynchronous wrapper around list that runs the synchronous
|
||||
This method is an asynchronous wrapper around `list` that runs the synchronous
|
||||
method in a separate thread using asyncio.
|
||||
|
||||
Args:
|
||||
config: The config to use for listing the checkpoints.
|
||||
|
||||
Yields:
|
||||
AsyncIterator[CheckpointTuple]: An asynchronous iterator of checkpoint tuples.
|
||||
An asynchronous iterator of checkpoint tuples.
|
||||
"""
|
||||
for item in self.list(config, filter=filter, before=before, limit=limit):
|
||||
yield item
|
||||
@@ -465,7 +465,7 @@ class InMemorySaver(
|
||||
metadata: CheckpointMetadata,
|
||||
new_versions: ChannelVersions,
|
||||
) -> RunnableConfig:
|
||||
"""Asynchronous version of put.
|
||||
"""Asynchronous version of `put`.
|
||||
|
||||
Args:
|
||||
config: The config to associate with the checkpoint.
|
||||
@@ -485,9 +485,9 @@ class InMemorySaver(
|
||||
task_id: str,
|
||||
task_path: str = "",
|
||||
) -> None:
|
||||
"""Asynchronous version of put_writes.
|
||||
"""Asynchronous version of `put_writes`.
|
||||
|
||||
This method is an asynchronous wrapper around put_writes that runs the synchronous
|
||||
This method is an asynchronous wrapper around `put_writes` that runs the synchronous
|
||||
method in a separate thread using asyncio.
|
||||
|
||||
Args:
|
||||
|
||||
@@ -9,7 +9,7 @@ import pickle
|
||||
import re
|
||||
import sys
|
||||
from collections import deque
|
||||
from collections.abc import Sequence
|
||||
from collections.abc import Callable, Sequence
|
||||
from datetime import date, datetime, time, timedelta, timezone
|
||||
from enum import Enum
|
||||
from inspect import isclass
|
||||
@@ -21,7 +21,7 @@ from ipaddress import (
|
||||
IPv6Interface,
|
||||
IPv6Network,
|
||||
)
|
||||
from typing import Any, Callable, cast
|
||||
from typing import Any, cast
|
||||
from uuid import UUID
|
||||
from zoneinfo import ZoneInfo
|
||||
|
||||
|
||||
@@ -1,7 +1,6 @@
|
||||
from collections.abc import Sequence
|
||||
from typing import (
|
||||
Any,
|
||||
Optional,
|
||||
Protocol,
|
||||
TypeVar,
|
||||
runtime_checkable,
|
||||
@@ -28,9 +27,9 @@ class ChannelProtocol(Protocol[Value, Update, C]):
|
||||
@property
|
||||
def UpdateType(self) -> Any: ...
|
||||
|
||||
def checkpoint(self) -> Optional[C]: ...
|
||||
def checkpoint(self) -> C | None: ...
|
||||
|
||||
def from_checkpoint(self, checkpoint: Optional[C]) -> Self: ...
|
||||
def from_checkpoint(self, checkpoint: C | None) -> Self: ...
|
||||
|
||||
def update(self, values: Sequence[Update]) -> bool: ...
|
||||
|
||||
|
||||
@@ -19,7 +19,6 @@ from typing import (
|
||||
Literal,
|
||||
NamedTuple,
|
||||
TypedDict,
|
||||
Union,
|
||||
cast,
|
||||
)
|
||||
|
||||
@@ -57,7 +56,7 @@ class Item:
|
||||
key: Unique identifier within the namespace.
|
||||
namespace: Hierarchical path defining the collection in which this document resides.
|
||||
Represented as a tuple of strings, allowing for nested categorization.
|
||||
For example: ("documents", 'user123')
|
||||
For example: `("documents", 'user123')`
|
||||
created_at: Timestamp of item creation.
|
||||
updated_at: Timestamp of last update.
|
||||
"""
|
||||
@@ -249,12 +248,12 @@ class SearchOp(NamedTuple):
|
||||
The filter supports both exact matches and operator-based comparisons.
|
||||
|
||||
Supported Operators:
|
||||
- $eq: Equal to (same as direct value comparison)
|
||||
- $ne: Not equal to
|
||||
- $gt: Greater than
|
||||
- $gte: Greater than or equal to
|
||||
- $lt: Less than
|
||||
- $lte: Less than or equal to
|
||||
- `$eq`: Equal to (same as direct value comparison)
|
||||
- `$ne`: Not equal to
|
||||
- `$gt`: Greater than
|
||||
- `$gte`: Greater than or equal to
|
||||
- `$lt`: Less than
|
||||
- `$lte`: Less than or equal to
|
||||
|
||||
???+ example "Examples"
|
||||
Simple exact match:
|
||||
@@ -302,7 +301,7 @@ class SearchOp(NamedTuple):
|
||||
|
||||
|
||||
# Type representing a namespace path that can include wildcards
|
||||
NamespacePath = tuple[Union[str, Literal["*"]], ...]
|
||||
NamespacePath = tuple[str | Literal["*"], ...]
|
||||
"""A tuple representing a namespace path that can include wildcards.
|
||||
|
||||
???+ example "Examples"
|
||||
@@ -480,12 +479,12 @@ class PutOp(NamedTuple):
|
||||
vector similarity search (if supported by the store implementation).
|
||||
|
||||
Path Syntax:
|
||||
- Simple field access: "field"
|
||||
- Nested fields: "parent.child.grandchild"
|
||||
- Simple field access: `"field"`
|
||||
- Nested fields: `"parent.child.grandchild"`
|
||||
- Array indexing:
|
||||
- Specific index: "array[0]"
|
||||
- Last element: "array[-1]"
|
||||
- All elements (each individually): "array[*]"
|
||||
- Specific index: `"array[0]"`
|
||||
- Last element: `"array[-1]"`
|
||||
- All elements (each individually): `"array[*]"`
|
||||
|
||||
???+ example "Examples"
|
||||
- None - Use store defaults (whole item)
|
||||
@@ -509,12 +508,12 @@ class PutOp(NamedTuple):
|
||||
will expire this many minutes after it was last accessed. The expiration timer
|
||||
refreshes on both read operations (get/search) and write operations (put/update).
|
||||
When the TTL expires, the item will be scheduled for deletion on a best-effort basis.
|
||||
Defaults to None (no expiration).
|
||||
Defaults to `None` (no expiration).
|
||||
"""
|
||||
|
||||
|
||||
Op = Union[GetOp, SearchOp, PutOp, ListNamespacesOp]
|
||||
Result = Union[Item, list[Item], list[SearchItem], list[tuple[str, ...]], None]
|
||||
Op = GetOp | SearchOp | PutOp | ListNamespacesOp
|
||||
Result = Item | list[Item] | list[SearchItem] | list[tuple[str, ...]] | None
|
||||
|
||||
|
||||
class InvalidNamespaceError(ValueError):
|
||||
@@ -525,18 +524,18 @@ class TTLConfig(TypedDict, total=False):
|
||||
"""Configuration for TTL (time-to-live) behavior in the store."""
|
||||
|
||||
refresh_on_read: bool
|
||||
"""Default behavior for refreshing TTLs on read operations (GET and SEARCH).
|
||||
"""Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
|
||||
|
||||
If True, TTLs will be refreshed on read operations (get/search) by default.
|
||||
This can be overridden per-operation by explicitly setting refresh_ttl.
|
||||
Defaults to True if not configured.
|
||||
If `True`, TTLs will be refreshed on read operations (get/search) by default.
|
||||
This can be overridden per-operation by explicitly setting `refresh_ttl`.
|
||||
Defaults to `True` if not configured.
|
||||
"""
|
||||
default_ttl: float | None
|
||||
"""Default TTL (time-to-live) in minutes for new items.
|
||||
|
||||
If provided, new items will expire after this many minutes after their last access.
|
||||
The expiration timer refreshes on both read and write operations.
|
||||
Defaults to None (no expiration).
|
||||
Defaults to `None` (no expiration).
|
||||
"""
|
||||
sweep_interval_minutes: int | None
|
||||
"""Interval in minutes between TTL sweep operations.
|
||||
@@ -550,20 +549,20 @@ class IndexConfig(TypedDict, total=False):
|
||||
"""Configuration for indexing documents for semantic search in the store.
|
||||
|
||||
If not provided to the store, the store will not support vector search.
|
||||
In that case, all `index` arguments to put() and `aput()` operations will be ignored.
|
||||
In that case, all `index` arguments to `put()` and `aput()` operations will be ignored.
|
||||
"""
|
||||
|
||||
dims: int
|
||||
"""Number of dimensions in the embedding vectors.
|
||||
|
||||
Common embedding models have the following dimensions:
|
||||
- openai:text-embedding-3-large: 3072
|
||||
- openai:text-embedding-3-small: 1536
|
||||
- openai:text-embedding-ada-002: 1536
|
||||
- cohere:embed-english-v3.0: 1024
|
||||
- cohere:embed-english-light-v3.0: 384
|
||||
- cohere:embed-multilingual-v3.0: 1024
|
||||
- cohere:embed-multilingual-light-v3.0: 384
|
||||
- `openai:text-embedding-3-large`: `3072`
|
||||
- `openai:text-embedding-3-small`: `1536`
|
||||
- `openai:text-embedding-ada-002`: `1536`
|
||||
- `cohere:embed-english-v3.0`: `1024`
|
||||
- `cohere:embed-english-light-v3.0`: `384`
|
||||
- `cohere:embed-multilingual-v3.0`: `1024`
|
||||
- `cohere:embed-multilingual-light-v3.0`: `384`
|
||||
"""
|
||||
|
||||
embed: Embeddings | EmbeddingsFunc | AEmbeddingsFunc | str
|
||||
@@ -571,12 +570,12 @@ class IndexConfig(TypedDict, total=False):
|
||||
|
||||
Can be specified in three ways:
|
||||
1. A LangChain Embeddings instance
|
||||
2. A synchronous embedding function (EmbeddingsFunc)
|
||||
3. An asynchronous embedding function (AEmbeddingsFunc)
|
||||
4. A provider string (e.g., "openai:text-embedding-3-small")
|
||||
2. A synchronous embedding function (`EmbeddingsFunc`)
|
||||
3. An asynchronous embedding function (`AEmbeddingsFunc`)
|
||||
4. A provider string (e.g., `"openai:text-embedding-3-small"`)
|
||||
|
||||
???+ example "Examples"
|
||||
Using LangChain's initialization with InMemoryStore:
|
||||
Using LangChain's initialization with `InMemoryStore`:
|
||||
```python
|
||||
from langchain.embeddings import init_embeddings
|
||||
from langgraph.store.memory import InMemoryStore
|
||||
@@ -589,7 +588,7 @@ class IndexConfig(TypedDict, total=False):
|
||||
)
|
||||
```
|
||||
|
||||
Using a custom embedding function with InMemoryStore:
|
||||
Using a custom embedding function with `InMemoryStore`:
|
||||
```python
|
||||
from openai import OpenAI
|
||||
from langgraph.store.memory import InMemoryStore
|
||||
@@ -611,7 +610,7 @@ class IndexConfig(TypedDict, total=False):
|
||||
)
|
||||
```
|
||||
|
||||
Using an asynchronous embedding function with InMemoryStore:
|
||||
Using an asynchronous embedding function with `InMemoryStore`:
|
||||
```python
|
||||
from openai import AsyncOpenAI
|
||||
from langgraph.store.memory import InMemoryStore
|
||||
@@ -639,10 +638,10 @@ class IndexConfig(TypedDict, total=False):
|
||||
|
||||
Controls which parts of stored items are embedded for semantic search. Follows JSON path syntax:
|
||||
|
||||
- ["$"]: Embeds the entire JSON object as one vector (default)
|
||||
- ["field1", "field2"]: Embeds specific top-level fields
|
||||
- ["parent.child"]: Embeds nested fields using dot notation
|
||||
- ["array[*].field"]: Embeds field from each array element separately
|
||||
- `["$"]`: Embeds the entire JSON object as one vector (default)
|
||||
- `["field1", "field2"]`: Embeds specific top-level fields
|
||||
- `["parent.child"]`: Embeds nested fields using dot notation
|
||||
- `["array[*].field"]`: Embeds field from each array element separately
|
||||
|
||||
Note:
|
||||
You can always override this behavior when storing an item using the
|
||||
@@ -667,7 +666,7 @@ class IndexConfig(TypedDict, total=False):
|
||||
Note:
|
||||
- Fields missing from a document are skipped
|
||||
- Array notation creates separate embeddings for each element
|
||||
- Complex nested paths are supported (e.g., "a.b[*].c.d")
|
||||
- Complex nested paths are supported (e.g., `"a.b[*].c.d"`)
|
||||
"""
|
||||
|
||||
|
||||
@@ -732,11 +731,11 @@ class BaseStore(ABC):
|
||||
namespace: Hierarchical path for the item.
|
||||
key: Unique identifier within the namespace.
|
||||
refresh_ttl: Whether to refresh TTLs for the returned item.
|
||||
If None (default), uses the store's default refresh_ttl setting.
|
||||
If `None`, uses the store's default refresh_ttl setting.
|
||||
If no TTL is specified, this argument is ignored.
|
||||
|
||||
Returns:
|
||||
The retrieved item or None if not found.
|
||||
The retrieved item or `None` if not found.
|
||||
"""
|
||||
return self.batch(
|
||||
[GetOp(namespace, str(key), _ensure_refresh(self.ttl_config, refresh_ttl))]
|
||||
@@ -966,7 +965,7 @@ class BaseStore(ABC):
|
||||
key: Unique identifier within the namespace.
|
||||
|
||||
Returns:
|
||||
The retrieved item or None if not found.
|
||||
The retrieved item or `None` if not found.
|
||||
"""
|
||||
return (
|
||||
await self.abatch(
|
||||
@@ -1000,7 +999,7 @@ class BaseStore(ABC):
|
||||
limit: Maximum number of items to return.
|
||||
offset: Number of items to skip before returning results.
|
||||
refresh_ttl: Whether to refresh TTLs for the returned items.
|
||||
If None (default), uses the store's TTLConfig.refresh_default setting.
|
||||
If `None`, uses the store's TTLConfig.refresh_default setting.
|
||||
If TTLConfig is not provided or no TTL is specified, this argument is ignored.
|
||||
|
||||
Returns:
|
||||
|
||||
@@ -5,8 +5,8 @@ from __future__ import annotations
|
||||
import asyncio
|
||||
import functools
|
||||
import weakref
|
||||
from collections.abc import Iterable
|
||||
from typing import Any, Callable, Literal, TypeVar
|
||||
from collections.abc import Callable, Iterable
|
||||
from typing import Any, Literal, TypeVar
|
||||
|
||||
from langgraph.store.base import (
|
||||
NOT_PROVIDED,
|
||||
@@ -349,7 +349,7 @@ async def _run(
|
||||
results = [results[ix] for ix in listen]
|
||||
|
||||
# set the results of each operation
|
||||
for fut, result in zip(futs, results):
|
||||
for fut, result in zip(futs, results, strict=False):
|
||||
# guard against future being done (e.g. cancelled)
|
||||
if not fut.done():
|
||||
fut.set_result(result)
|
||||
|
||||
@@ -11,8 +11,8 @@ from __future__ import annotations
|
||||
import asyncio
|
||||
import functools
|
||||
import json
|
||||
from collections.abc import Awaitable, Sequence
|
||||
from typing import Any, Callable
|
||||
from collections.abc import Awaitable, Callable, Sequence
|
||||
from typing import Any
|
||||
|
||||
from langchain_core.embeddings import Embeddings
|
||||
|
||||
|
||||
@@ -295,7 +295,7 @@ class InMemoryStore(BaseStore):
|
||||
if queries:
|
||||
coros = [self.embeddings.aembed_query(q) for q in list(queries)]
|
||||
results = await asyncio.gather(*coros)
|
||||
queryinmem_store = dict(zip(queries, results))
|
||||
queryinmem_store = dict(zip(queries, results, strict=False))
|
||||
|
||||
return queryinmem_store
|
||||
|
||||
@@ -323,7 +323,9 @@ class InMemoryStore(BaseStore):
|
||||
|
||||
scores = _cosine_similarity(query_embedding, flat_vectors)
|
||||
sorted_results = sorted(
|
||||
zip(scores, flat_items), key=lambda x: x[0], reverse=True
|
||||
zip(scores, flat_items, strict=False),
|
||||
key=lambda x: x[0],
|
||||
reverse=True,
|
||||
)
|
||||
# max pooling
|
||||
seen: set[tuple[tuple[str, ...], str]] = set()
|
||||
@@ -452,7 +454,7 @@ class InMemoryStore(BaseStore):
|
||||
f"Number of embeddings ({len(embeddings)}) does not"
|
||||
f" match number of indices ({len(indices)})"
|
||||
)
|
||||
for embedding, (ns, key, path) in zip(embeddings, indices):
|
||||
for embedding, (ns, key, path) in zip(embeddings, indices, strict=False):
|
||||
self._vectors[ns][key][path] = embedding
|
||||
|
||||
def _handle_list_namespaces(self, op: ListNamespacesOp) -> list[tuple[str, ...]]:
|
||||
@@ -511,7 +513,7 @@ def _cosine_similarity(X: list[float], Y: list[list[float]]) -> list[float]:
|
||||
|
||||
similarities = []
|
||||
for y in Y:
|
||||
dot_product = sum(a * b for a, b in zip(X, y))
|
||||
dot_product = sum(a * b for a, b in zip(X, y, strict=False))
|
||||
norm1 = sum(a * a for a in X) ** 0.5
|
||||
norm2 = sum(a * a for a in y) ** 0.5
|
||||
similarity = dot_product / (norm1 * norm2) if norm1 > 0 and norm2 > 0 else 0.0
|
||||
@@ -529,14 +531,14 @@ def _does_match(match_condition: MatchCondition, key: tuple[str, ...]) -> bool:
|
||||
return False
|
||||
|
||||
if match_type == "prefix":
|
||||
for k_elem, p_elem in zip(key, path):
|
||||
for k_elem, p_elem in zip(key, path, strict=False):
|
||||
if p_elem == "*":
|
||||
continue # Wildcard matches any element
|
||||
if k_elem != p_elem:
|
||||
return False
|
||||
return True
|
||||
elif match_type == "suffix":
|
||||
for k_elem, p_elem in zip(reversed(key), reversed(path)):
|
||||
for k_elem, p_elem in zip(reversed(key), reversed(path), strict=False):
|
||||
if p_elem == "*":
|
||||
continue # Wildcard matches any element
|
||||
if k_elem != p_elem:
|
||||
@@ -563,7 +565,10 @@ def _compare_values(item_value: Any, filter_value: Any) -> bool:
|
||||
return (
|
||||
isinstance(item_value, (list, tuple))
|
||||
and len(item_value) == len(filter_value)
|
||||
and all(_compare_values(iv, fv) for iv, fv in zip(item_value, filter_value))
|
||||
and all(
|
||||
_compare_values(iv, fv)
|
||||
for iv, fv in zip(item_value, filter_value, strict=False)
|
||||
)
|
||||
)
|
||||
else:
|
||||
return item_value == filter_value
|
||||
|
||||
@@ -7,7 +7,7 @@ name = "langgraph-checkpoint"
|
||||
version = "2.1.2"
|
||||
description = "Library with base interfaces for LangGraph checkpoint savers."
|
||||
authors = []
|
||||
requires-python = ">=3.9"
|
||||
requires-python = ">=3.10"
|
||||
readme = "README.md"
|
||||
license = "MIT"
|
||||
license-files = ['LICENSE']
|
||||
@@ -49,8 +49,10 @@ lint.select = [
|
||||
"UP", # pyupgrade
|
||||
"B", # flake8-bugbear
|
||||
"I", # isort
|
||||
"UP", # pyupgrade
|
||||
]
|
||||
lint.ignore = ["E501", "B008"]
|
||||
target-version = "py310"
|
||||
|
||||
[tool.pytest-watcher]
|
||||
now = true
|
||||
|
||||
@@ -60,22 +60,15 @@ class MyDataclass:
|
||||
pass
|
||||
|
||||
|
||||
if sys.version_info < (3, 10):
|
||||
@dataclasses.dataclass(slots=True)
|
||||
class MyDataclassWSlots:
|
||||
foo: str
|
||||
bar: int
|
||||
inner: InnerDataclass
|
||||
|
||||
class MyDataclassWSlots(MyDataclass):
|
||||
def something(self) -> None:
|
||||
pass
|
||||
|
||||
else:
|
||||
|
||||
@dataclasses.dataclass(slots=True)
|
||||
class MyDataclassWSlots:
|
||||
foo: str
|
||||
bar: int
|
||||
inner: InnerDataclass
|
||||
|
||||
def something(self) -> None:
|
||||
pass
|
||||
|
||||
|
||||
class MyEnum(Enum):
|
||||
FOO = "foo"
|
||||
|
||||
@@ -845,7 +845,7 @@ async def test_async_batched_vector_search_concurrent(
|
||||
]
|
||||
)
|
||||
|
||||
for results, (query, filter_) in zip(all_results, search_queries):
|
||||
for results, (query, filter_) in zip(all_results, search_queries, strict=False):
|
||||
assert len(results) > 0, f"No results for query '{query}' with filter {filter_}"
|
||||
|
||||
for result in results:
|
||||
|
||||
Generated
+9
-186
@@ -1,11 +1,10 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.9"
|
||||
revision = 2
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.12'",
|
||||
"python_full_version == '3.11.*'",
|
||||
"python_full_version == '3.10.*'",
|
||||
"python_full_version < '3.10'",
|
||||
"python_full_version < '3.11'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -120,17 +119,6 @@ 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" },
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{ 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" },
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{ 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" },
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{ 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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{ url = "https://files.pythonhosted.org/packages/e4/69/132eab043356bba06eb333cc2cc60c6340857d0a2e4ca6dc2b51312886b3/charset_normalizer-3.4.3-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.manylinux_2_28_ppc64le.whl", hash = "sha256:34a7f768e3f985abdb42841e20e17b330ad3aaf4bb7e7aeeb73db2e70f077b99", size = 160448, upload-time = "2025-08-09T07:57:13.712Z" },
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{ url = "https://files.pythonhosted.org/packages/b0/a8/6f5bcf1bcf63cb45625f7c5cadca026121ff8a6c8a3256d8d8cd59302663/charset_normalizer-3.4.3-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:257f26fed7d7ff59921b78244f3cd93ed2af1800ff048c33f624c87475819dd7", size = 152487, upload-time = "2025-08-09T07:57:16.332Z" },
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{ url = "https://files.pythonhosted.org/packages/c4/72/d3d0e9592f4e504f9dea08b8db270821c909558c353dc3b457ed2509f2fb/charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:1ef99f0456d3d46a50945c98de1774da86f8e992ab5c77865ea8b8195341fc19", size = 150054, upload-time = "2025-08-09T07:57:17.576Z" },
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{ url = "https://files.pythonhosted.org/packages/20/30/5f64fe3981677fe63fa987b80e6c01042eb5ff653ff7cec1b7bd9268e54e/charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:2c322db9c8c89009a990ef07c3bcc9f011a3269bc06782f916cd3d9eed7c9312", size = 161703, upload-time = "2025-08-09T07:57:20.012Z" },
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{ url = "https://files.pythonhosted.org/packages/e1/ef/dd08b2cac9284fd59e70f7d97382c33a3d0a926e45b15fc21b3308324ffd/charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:511729f456829ef86ac41ca78c63a5cb55240ed23b4b737faca0eb1abb1c41bc", size = 159096, upload-time = "2025-08-09T07:57:21.329Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/45/8c/dcef87cfc2b3f002a6478f38906f9040302c68aebe21468090e39cde1445/charset_normalizer-3.4.3-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:88ab34806dea0671532d3f82d82b85e8fc23d7b2dd12fa837978dad9bb392a34", size = 153852, upload-time = "2025-08-09T07:57:22.608Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/63/86/9cbd533bd37883d467fcd1bd491b3547a3532d0fbb46de2b99feeebf185e/charset_normalizer-3.4.3-cp39-cp39-win32.whl", hash = "sha256:16a8770207946ac75703458e2c743631c79c59c5890c80011d536248f8eaa432", size = 99840, upload-time = "2025-08-09T07:57:23.883Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/ce/d6/7e805c8e5c46ff9729c49950acc4ee0aeb55efb8b3a56687658ad10c3216/charset_normalizer-3.4.3-cp39-cp39-win_amd64.whl", hash = "sha256:d22dbedd33326a4a5190dd4fe9e9e693ef12160c77382d9e87919bce54f3d4ca", size = 107438, upload-time = "2025-08-09T07:57:25.287Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/8a/1f/f041989e93b001bc4e44bb1669ccdcf54d3f00e628229a85b08d330615c5/charset_normalizer-3.4.3-py3-none-any.whl", hash = "sha256:ce571ab16d890d23b5c278547ba694193a45011ff86a9162a71307ed9f86759a", size = 53175, upload-time = "2025-08-09T07:57:26.864Z" },
|
||||
]
|
||||
|
||||
@@ -285,12 +273,10 @@ dev = [
|
||||
{ name = "codespell" },
|
||||
{ name = "dataclasses-json" },
|
||||
{ name = "mypy" },
|
||||
{ name = "numpy", version = "2.0.2", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
|
||||
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version == '3.10.*'" },
|
||||
{ name = "numpy", version = "2.2.6", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.11'" },
|
||||
{ name = "numpy", version = "2.3.3", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
|
||||
{ name = "pandas" },
|
||||
{ name = "pandas-stubs", version = "2.2.2.240807", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version < '3.10'" },
|
||||
{ name = "pandas-stubs", version = "2.3.2.250926", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.10'" },
|
||||
{ name = "pandas-stubs" },
|
||||
{ name = "pytest" },
|
||||
{ name = "pytest-asyncio" },
|
||||
{ name = "pytest-mock" },
|
||||
@@ -393,12 +379,6 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/5b/11/040983fad5132d85914c874a2836252bbc57832065548885b5bb5b0d4359/mypy-1.18.2-cp314-cp314-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:d924eef3795cc89fecf6bedc6ed32b33ac13e8321344f6ddbf8ee89f706c05cb", size = 13326683, upload-time = "2025-09-19T00:09:55.572Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/e9/ba/89b2901dd77414dd7a8c8729985832a5735053be15b744c18e4586e506ef/mypy-1.18.2-cp314-cp314-musllinux_1_2_x86_64.whl", hash = "sha256:20c02215a080e3a2be3aa50506c67242df1c151eaba0dcbc1e4e557922a26075", size = 13514749, upload-time = "2025-09-19T00:10:44.827Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/25/bc/cc98767cffd6b2928ba680f3e5bc969c4152bf7c2d83f92f5a504b92b0eb/mypy-1.18.2-cp314-cp314-win_amd64.whl", hash = "sha256:749b5f83198f1ca64345603118a6f01a4e99ad4bf9d103ddc5a3200cc4614adf", size = 9982959, upload-time = "2025-09-19T00:10:37.344Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/3f/a6/490ff491d8ecddf8ab91762d4f67635040202f76a44171420bcbe38ceee5/mypy-1.18.2-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:25a9c8fb67b00599f839cf472713f54249a62efd53a54b565eb61956a7e3296b", size = 12807230, upload-time = "2025-09-19T00:09:49.471Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/eb/2e/60076fc829645d167ece9e80db9e8375648d210dab44cc98beb5b322a826/mypy-1.18.2-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:c2b9c7e284ee20e7598d6f42e13ca40b4928e6957ed6813d1ab6348aa3f47133", size = 11895666, upload-time = "2025-09-19T00:10:53.678Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/97/4a/1e2880a2a5dda4dc8d9ecd1a7e7606bc0b0e14813637eeda40c38624e037/mypy-1.18.2-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl", hash = "sha256:d6985ed057513e344e43a26cc1cd815c7a94602fb6a3130a34798625bc2f07b6", size = 12499608, upload-time = "2025-09-19T00:09:36.204Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/00/81/a117f1b73a3015b076b20246b1f341c34a578ebd9662848c6b80ad5c4138/mypy-1.18.2-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.manylinux_2_28_x86_64.whl", hash = "sha256:22f27105f1525ec024b5c630c0b9f36d5c1cc4d447d61fe51ff4bd60633f47ac", size = 13244551, upload-time = "2025-09-19T00:10:17.531Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/9b/61/b9f48e1714ce87c7bf0358eb93f60663740ebb08f9ea886ffc670cea7933/mypy-1.18.2-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:030c52d0ea8144e721e49b1f68391e39553d7451f0c3f8a7565b59e19fcb608b", size = 13491552, upload-time = "2025-09-19T00:10:13.753Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/c9/66/b2c0af3b684fa80d1b27501a8bdd3d2daa467ea3992a8aa612f5ca17c2db/mypy-1.18.2-cp39-cp39-win_amd64.whl", hash = "sha256:aa5e07ac1a60a253445797e42b8b2963c9675563a94f11291ab40718b016a7a0", size = 9765635, upload-time = "2025-09-19T00:10:30.993Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/87/e3/be76d87158ebafa0309946c4a73831974d4d6ab4f4ef40c3b53a385a66fd/mypy-1.18.2-py3-none-any.whl", hash = "sha256:22a1748707dd62b58d2ae53562ffc4d7f8bcc727e8ac7cbc69c053ddc874d47e", size = 2352367, upload-time = "2025-09-19T00:10:15.489Z" },
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||||
]
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||||
|
||||
@@ -411,67 +391,12 @@ wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/79/7b/2c79738432f5c924bef5071f933bcc9efd0473bac3b4aa584a6f7c1c8df8/mypy_extensions-1.1.0-py3-none-any.whl", hash = "sha256:1be4cccdb0f2482337c4743e60421de3a356cd97508abadd57d47403e94f5505", size = 4963, upload-time = "2025-04-22T14:54:22.983Z" },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "numpy"
|
||||
version = "2.0.2"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
resolution-markers = [
|
||||
"python_full_version < '3.10'",
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||||
]
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/a9/75/10dd1f8116a8b796cb2c737b674e02d02e80454bda953fa7e65d8c12b016/numpy-2.0.2.tar.gz", hash = "sha256:883c987dee1880e2a864ab0dc9892292582510604156762362d9326444636e78", size = 18902015, upload-time = "2024-08-26T20:19:40.945Z" }
|
||||
wheels = [
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{ url = "https://files.pythonhosted.org/packages/5c/51/d46dc9332f9a647593c947b4b88e2381c8dfc0942d15b8edc0310fa4abb1/watchdog-6.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:9041567ee8953024c83343288ccc458fd0a2d811d6a0fd68c4c22609e3490379", size = 79078, upload-time = "2024-11-01T14:07:01.431Z" },
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@@ -1474,20 +1313,4 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/75/71/c2e9234643dcfbd6c5e975e9a2b0050e1b2afffda6c3a959e1b87997bc80/zstandard-0.25.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:51526324f1b23229001eb3735bc8c94f9c578b1bd9e867a0a646a3b17109f388", size = 5818805, upload-time = "2025-09-14T22:18:43.602Z" },
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{ url = "https://files.pythonhosted.org/packages/f5/93/8ebc19f0a31c44ea0e7348f9b0d4b326ed413b6575a3c6ff4ed50222abb6/zstandard-0.25.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89c4b48479a43f820b749df49cd7ba2dbc2b1b78560ecb5ab52985574fd40b27", size = 5362280, upload-time = "2025-09-14T22:18:45.625Z" },
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{ url = "https://files.pythonhosted.org/packages/b8/e9/29cc59d4a9d51b3fd8b477d858d0bd7ab627f700908bf1517f46ddd470ae/zstandard-0.25.0-cp39-cp39-win32.whl", hash = "sha256:1cd5da4d8e8ee0e88be976c294db744773459d51bb32f707a0f166e5ad5c8649", size = 436460, upload-time = "2025-09-14T22:18:49.077Z" },
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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" },
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||||
]
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import asyncio
|
||||
import json
|
||||
from typing import Annotated, Optional
|
||||
from typing import Annotated
|
||||
|
||||
from langchain_community.retrievers import WikipediaRetriever
|
||||
from langchain_community.tools.tavily_search import TavilySearchResults
|
||||
@@ -51,7 +51,7 @@ class Subsection(BaseModel):
|
||||
class Section(BaseModel):
|
||||
section_title: str = Field(..., title="Title of the section")
|
||||
description: str = Field(..., title="Content of the section")
|
||||
subsections: Optional[list[Subsection]] = Field(
|
||||
subsections: list[Subsection] | None = Field(
|
||||
default=None,
|
||||
title="Titles and descriptions for each subsection of the Wikipedia page.",
|
||||
)
|
||||
@@ -201,8 +201,8 @@ def update_editor(editor, new_editor):
|
||||
|
||||
class InterviewState(TypedDict):
|
||||
messages: Annotated[list[AnyMessage], add_messages]
|
||||
references: Annotated[Optional[dict], update_references]
|
||||
editor: Annotated[Optional[Editor], update_editor]
|
||||
references: Annotated[dict | None, update_references]
|
||||
editor: Annotated[Editor | None, update_editor]
|
||||
|
||||
|
||||
gen_qn_prompt = ChatPromptTemplate.from_messages(
|
||||
@@ -321,7 +321,7 @@ async def search_engine(query: str):
|
||||
|
||||
async def gen_answer(
|
||||
state: InterviewState,
|
||||
config: Optional[RunnableConfig] = None,
|
||||
config: RunnableConfig | None = None,
|
||||
name: str = "Subject_Matter_Expert",
|
||||
max_str_len: int = 15000,
|
||||
):
|
||||
@@ -437,7 +437,7 @@ class SubSection(BaseModel):
|
||||
class WikiSection(BaseModel):
|
||||
section_title: str = Field(..., title="Title of the section")
|
||||
content: str = Field(..., title="Full content of the section")
|
||||
subsections: Optional[list[Subsection]] = Field(
|
||||
subsections: list[Subsection] | None = Field(
|
||||
default=None,
|
||||
title="Titles and descriptions for each subsection of the Wikipedia page.",
|
||||
)
|
||||
|
||||
@@ -7,7 +7,7 @@ name = "langgraph-examples"
|
||||
version = "0.1.0"
|
||||
description = ""
|
||||
readme = "README.md"
|
||||
requires-python = ">=3.9"
|
||||
requires-python = ">=3.10"
|
||||
dependencies = [
|
||||
"langgraph-cli",
|
||||
"langgraph-sdk",
|
||||
|
||||
@@ -1 +1 @@
|
||||
__version__ = "0.4.3"
|
||||
__version__ = "0.4.4"
|
||||
|
||||
@@ -4,8 +4,7 @@ import os
|
||||
import pathlib
|
||||
import shutil
|
||||
import sys
|
||||
from collections.abc import Sequence
|
||||
from typing import Callable, Optional
|
||||
from collections.abc import Callable, Sequence
|
||||
|
||||
import click
|
||||
import click.exceptions
|
||||
@@ -200,23 +199,23 @@ def cli():
|
||||
@log_command
|
||||
def up(
|
||||
config: pathlib.Path,
|
||||
docker_compose: Optional[pathlib.Path],
|
||||
docker_compose: pathlib.Path | None,
|
||||
port: int,
|
||||
recreate: bool,
|
||||
pull: bool,
|
||||
watch: bool,
|
||||
wait: bool,
|
||||
verbose: bool,
|
||||
debugger_port: Optional[int],
|
||||
debugger_base_url: Optional[str],
|
||||
postgres_uri: Optional[str],
|
||||
api_version: Optional[str],
|
||||
image: Optional[str],
|
||||
base_image: Optional[str],
|
||||
debugger_port: int | None,
|
||||
debugger_base_url: str | None,
|
||||
postgres_uri: str | None,
|
||||
api_version: str | None,
|
||||
image: str | None,
|
||||
base_image: str | None,
|
||||
):
|
||||
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:
|
||||
@@ -298,13 +297,13 @@ def _build(
|
||||
set: Callable[[str], None],
|
||||
config: pathlib.Path,
|
||||
config_json: dict,
|
||||
base_image: Optional[str],
|
||||
api_version: Optional[str],
|
||||
base_image: str | None,
|
||||
api_version: str | None,
|
||||
pull: bool,
|
||||
tag: str,
|
||||
passthrough: Sequence[str] = (),
|
||||
install_command: Optional[str] = None,
|
||||
build_command: Optional[str] = None,
|
||||
install_command: str | None = None,
|
||||
build_command: str | None = None,
|
||||
):
|
||||
# pull latest images
|
||||
if pull:
|
||||
@@ -403,12 +402,12 @@ def _build(
|
||||
def build(
|
||||
config: pathlib.Path,
|
||||
docker_build_args: Sequence[str],
|
||||
base_image: Optional[str],
|
||||
api_version: Optional[str],
|
||||
base_image: str | None,
|
||||
api_version: str | None,
|
||||
pull: bool,
|
||||
tag: str,
|
||||
install_command: Optional[str],
|
||||
build_command: Optional[str],
|
||||
install_command: str | None,
|
||||
build_command: str | None,
|
||||
):
|
||||
with Runner() as runner, Progress(message="Pulling...") as set:
|
||||
if shutil.which("docker") is None:
|
||||
@@ -512,8 +511,8 @@ def dockerfile(
|
||||
save_path: str,
|
||||
config: pathlib.Path,
|
||||
add_docker_compose: bool,
|
||||
base_image: Optional[str] = None,
|
||||
api_version: Optional[str] = None,
|
||||
base_image: str | None = None,
|
||||
api_version: str | None = None,
|
||||
) -> None:
|
||||
save_path = pathlib.Path(save_path).absolute()
|
||||
secho(f"🔍 Validating configuration at path: {config}", fg="yellow")
|
||||
@@ -584,7 +583,7 @@ 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",
|
||||
@@ -688,11 +687,11 @@ def dev(
|
||||
port: int,
|
||||
no_reload: bool,
|
||||
config: str,
|
||||
n_jobs_per_worker: Optional[int],
|
||||
n_jobs_per_worker: int | None,
|
||||
no_browser: bool,
|
||||
debug_port: Optional[int],
|
||||
debug_port: int | None,
|
||||
wait_for_client: bool,
|
||||
studio_url: Optional[str],
|
||||
studio_url: str | None,
|
||||
allow_blocking: bool,
|
||||
tunnel: bool,
|
||||
server_log_level: str,
|
||||
@@ -776,7 +775,7 @@ def dev(
|
||||
)
|
||||
@cli.command("new", help="🌱 Create a new LangGraph project from a template.")
|
||||
@log_command
|
||||
def new(path: Optional[str], template: Optional[str]) -> None:
|
||||
def new(path: str | None, template: str | None) -> None:
|
||||
"""Create a new LangGraph project from a template."""
|
||||
return create_new(path, template)
|
||||
|
||||
@@ -786,17 +785,17 @@ def prepare_args_and_stdin(
|
||||
capabilities: DockerCapabilities,
|
||||
config_path: pathlib.Path,
|
||||
config: Config,
|
||||
docker_compose: Optional[pathlib.Path],
|
||||
docker_compose: pathlib.Path | None,
|
||||
port: int,
|
||||
watch: bool,
|
||||
debugger_port: Optional[int] = None,
|
||||
debugger_base_url: Optional[str] = None,
|
||||
postgres_uri: Optional[str] = None,
|
||||
api_version: Optional[str] = None,
|
||||
debugger_port: int | None = None,
|
||||
debugger_base_url: str | None = None,
|
||||
postgres_uri: str | None = None,
|
||||
api_version: str | None = None,
|
||||
# Like "my-tag" (if you already built it locally)
|
||||
image: Optional[str] = None,
|
||||
image: str | None = None,
|
||||
# Like "langchain/langgraphjs-api" or "langchain/langgraph-api
|
||||
base_image: Optional[str] = None,
|
||||
base_image: str | None = None,
|
||||
) -> tuple[list[str], str]:
|
||||
assert config_path.exists(), f"Config file not found: {config_path}"
|
||||
# prepare args
|
||||
@@ -835,17 +834,17 @@ def prepare(
|
||||
*,
|
||||
capabilities: DockerCapabilities,
|
||||
config_path: pathlib.Path,
|
||||
docker_compose: Optional[pathlib.Path],
|
||||
docker_compose: pathlib.Path | None,
|
||||
port: int,
|
||||
pull: bool,
|
||||
watch: bool,
|
||||
verbose: bool,
|
||||
debugger_port: Optional[int] = None,
|
||||
debugger_base_url: Optional[str] = None,
|
||||
postgres_uri: Optional[str] = None,
|
||||
api_version: Optional[str] = None,
|
||||
image: Optional[str] = None,
|
||||
base_image: Optional[str] = None,
|
||||
debugger_port: int | None = None,
|
||||
debugger_base_url: str | None = None,
|
||||
postgres_uri: str | None = None,
|
||||
api_version: str | None = None,
|
||||
image: str | None = None,
|
||||
base_image: str | None = None,
|
||||
) -> tuple[list[str], str]:
|
||||
"""Prepare the arguments and stdin for running the LangGraph API server."""
|
||||
config_json = langgraph_cli.config.validate_config_file(config_path)
|
||||
|
||||
@@ -4,7 +4,7 @@ import pathlib
|
||||
import re
|
||||
import textwrap
|
||||
from collections import Counter
|
||||
from typing import Any, Literal, NamedTuple, Optional, TypedDict, Union
|
||||
from typing import Any, Literal, NamedTuple, TypedDict
|
||||
|
||||
import click
|
||||
|
||||
@@ -25,19 +25,19 @@ class TTLConfig(TypedDict, total=False):
|
||||
"""Configuration for TTL (time-to-live) behavior in the store."""
|
||||
|
||||
refresh_on_read: bool
|
||||
"""Default behavior for refreshing TTLs on read operations (GET and SEARCH).
|
||||
"""Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).
|
||||
|
||||
If True, TTLs will be refreshed on read operations (get/search) by default.
|
||||
This can be overridden per-operation by explicitly setting refresh_ttl.
|
||||
Defaults to True if not configured.
|
||||
If `True`, TTLs will be refreshed on read operations (get/search) by default.
|
||||
This can be overridden per-operation by explicitly setting `refresh_ttl`.
|
||||
Defaults to `True` if not configured.
|
||||
"""
|
||||
default_ttl: Optional[float]
|
||||
default_ttl: float | None
|
||||
"""Optional. Default TTL (time-to-live) in minutes for new items.
|
||||
|
||||
If provided, all new items will have this TTL unless explicitly overridden.
|
||||
If omitted, items will have no TTL by default.
|
||||
"""
|
||||
sweep_interval_minutes: Optional[int]
|
||||
sweep_interval_minutes: int | None
|
||||
"""Optional. Interval in minutes between TTL sweep iterations.
|
||||
|
||||
If provided, the store will periodically delete expired items based on the TTL.
|
||||
@@ -83,7 +83,7 @@ class IndexConfig(TypedDict, total=False):
|
||||
Note: Must return embeddings of dimension `dims`.
|
||||
"""
|
||||
|
||||
fields: Optional[list[str]]
|
||||
fields: list[str] | None
|
||||
"""Optional. List of JSON fields to extract before generating embeddings.
|
||||
|
||||
Defaults to ["$"], which means the entire JSON object is embedded as one piece of text.
|
||||
@@ -102,7 +102,7 @@ class StoreConfig(TypedDict, total=False):
|
||||
the store will just handle traditional (non-embedded) data without vector lookups.
|
||||
"""
|
||||
|
||||
index: Optional[IndexConfig]
|
||||
index: IndexConfig | None
|
||||
"""Optional. Defines the vector-based semantic search configuration.
|
||||
|
||||
If provided, the store will:
|
||||
@@ -113,7 +113,7 @@ class StoreConfig(TypedDict, total=False):
|
||||
If omitted, no vector index is initialized.
|
||||
"""
|
||||
|
||||
ttl: Optional[TTLConfig]
|
||||
ttl: TTLConfig | None
|
||||
"""Optional. Defines the TTL (time-to-live) behavior configuration.
|
||||
|
||||
If provided, the store will apply TTL settings according to the configuration.
|
||||
@@ -130,9 +130,9 @@ class ThreadTTLConfig(TypedDict, total=False):
|
||||
Choices:
|
||||
- "delete": Delete all checkpoints for a thread after TTL expires.
|
||||
"""
|
||||
default_ttl: Optional[float]
|
||||
default_ttl: float | None
|
||||
"""Default TTL (time-to-live) in minutes for checkpointed data."""
|
||||
sweep_interval_minutes: Optional[int]
|
||||
sweep_interval_minutes: int | None
|
||||
"""Interval in minutes between sweep iterations.
|
||||
If omitted, a default interval will be used (typically ~ 5 minutes)."""
|
||||
|
||||
@@ -143,7 +143,7 @@ class CheckpointerConfig(TypedDict, total=False):
|
||||
If omitted, no checkpointer is set up (the object store will still be present, however).
|
||||
"""
|
||||
|
||||
ttl: Optional[ThreadTTLConfig]
|
||||
ttl: ThreadTTLConfig | None
|
||||
"""Optional. Defines the TTL (time-to-live) behavior configuration.
|
||||
|
||||
If provided, the checkpointer will apply TTL settings according to the configuration.
|
||||
@@ -159,7 +159,7 @@ class SecurityConfig(TypedDict, total=False):
|
||||
"""
|
||||
|
||||
securitySchemes: dict[str, dict[str, Any]]
|
||||
"""Required. Dict describing each security scheme recognized by your OpenAPI spec.
|
||||
"""Describe each security scheme recognized by your OpenAPI spec.
|
||||
|
||||
Keys are scheme names (e.g. "OAuth2", "ApiKeyAuth") and values are their definitions.
|
||||
Example:
|
||||
@@ -176,7 +176,7 @@ class SecurityConfig(TypedDict, total=False):
|
||||
}
|
||||
"""
|
||||
security: list[dict[str, list[str]]]
|
||||
"""Optional. Global security requirements across all endpoints.
|
||||
"""Global security requirements across all endpoints.
|
||||
|
||||
Each element in the list maps a security scheme (e.g. "OAuth2") to a list of scopes (e.g. ["read", "write"]).
|
||||
Example:
|
||||
@@ -187,7 +187,7 @@ class SecurityConfig(TypedDict, total=False):
|
||||
"""
|
||||
# path => {method => security}
|
||||
paths: dict[str, dict[str, list[dict[str, list[str]]]]]
|
||||
"""Optional. Path-specific security overrides.
|
||||
"""Path-specific security overrides.
|
||||
|
||||
Keys are path templates (e.g., "/items/{item_id}"), mapping to:
|
||||
- Keys that are HTTP methods (e.g., "GET", "POST"),
|
||||
@@ -215,11 +215,11 @@ class AuthConfig(TypedDict, total=False):
|
||||
"""Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.
|
||||
|
||||
Defaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header
|
||||
value is a valid API key for the deployment's workspace. If True, all requests will go through your custom
|
||||
value is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom
|
||||
authentication logic, regardless of origin of the request.
|
||||
"""
|
||||
openapi: SecurityConfig
|
||||
"""Required. Detailed security configuration that merges into your deployment's OpenAPI spec.
|
||||
"""The security configuration to include in your server's OpenAPI spec.
|
||||
|
||||
Example (OAuth2):
|
||||
{
|
||||
@@ -262,7 +262,7 @@ class CorsConfig(TypedDict, total=False):
|
||||
allow_headers: list[str]
|
||||
"""Optional. HTTP headers that can be used in cross-origin requests (e.g. ["Content-Type", "Authorization"])."""
|
||||
allow_credentials: bool
|
||||
"""Optional. If True, cross-origin requests can include credentials (cookies, auth headers).
|
||||
"""Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).
|
||||
|
||||
Default False to avoid accidentally exposing secured endpoints to untrusted sites.
|
||||
"""
|
||||
@@ -290,14 +290,14 @@ class ConfigurableHeaderConfig(TypedDict):
|
||||
Each value can be a raw string with an optional wildcard.
|
||||
"""
|
||||
|
||||
includes: Optional[list[str]]
|
||||
includes: list[str] | None
|
||||
"""Headers to include (if not also matches against an 'exludes' pattern.
|
||||
|
||||
Examples:
|
||||
- 'user-agent'
|
||||
- 'x-configurable-*'
|
||||
"""
|
||||
excludes: Optional[list[str]]
|
||||
excludes: list[str] | None
|
||||
"""Headers to exclude. Applied before the 'includes' checks.
|
||||
|
||||
Examples:
|
||||
@@ -317,27 +317,27 @@ class HttpConfig(TypedDict, total=False):
|
||||
If provided, it can override or extend the default routes.
|
||||
"""
|
||||
disable_assistants: bool
|
||||
"""Optional. If True, /assistants routes are removed from the server.
|
||||
"""Optional. If `True`, /assistants routes are removed from the server.
|
||||
|
||||
Default is False (meaning /assistants is enabled).
|
||||
"""
|
||||
disable_threads: bool
|
||||
"""Optional. If True, /threads routes are removed.
|
||||
"""Optional. If `True`, /threads routes are removed.
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_runs: bool
|
||||
"""Optional. If True, /runs routes are removed.
|
||||
"""Optional. If `True`, /runs routes are removed.
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_store: bool
|
||||
"""Optional. If True, /store routes are removed, disabling direct store interactions via HTTP.
|
||||
"""Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
disable_mcp: bool
|
||||
"""Optional. If True, /mcp routes are removed, disabling the MCP server.
|
||||
"""Optional. If `True`, /mcp routes are removed, disabling the MCP server.
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
@@ -349,18 +349,18 @@ class HttpConfig(TypedDict, total=False):
|
||||
|
||||
Default is False.
|
||||
"""
|
||||
cors: Optional[CorsConfig]
|
||||
cors: CorsConfig | None
|
||||
"""Optional. Defines CORS restrictions. If omitted, no special rules are set and
|
||||
cross-origin behavior depends on default server settings.
|
||||
"""
|
||||
configurable_headers: Optional[ConfigurableHeaderConfig]
|
||||
configurable_headers: ConfigurableHeaderConfig | None
|
||||
"""Optional. Defines how headers are treated for a run's configuration.
|
||||
|
||||
You can include or exclude headers as configurable values to condition your
|
||||
agent's behavior or permissions on a request's headers."""
|
||||
logging_headers: Optional[ConfigurableHeaderConfig]
|
||||
logging_headers: ConfigurableHeaderConfig | None
|
||||
"""Optional. Defines which headers are excluded from logging."""
|
||||
middleware_order: Optional[MiddlewareOrders]
|
||||
middleware_order: MiddlewareOrders | None
|
||||
"""Optional. Defines the order in which to apply server customizations.
|
||||
|
||||
Choices:
|
||||
@@ -372,7 +372,7 @@ class HttpConfig(TypedDict, total=False):
|
||||
Default is `middleware_first`.
|
||||
"""
|
||||
enable_custom_route_auth: bool
|
||||
"""Optional. If True, authentication is enabled for custom routes,
|
||||
"""Optional. If `True`, authentication is enabled for custom routes,
|
||||
not just the routes that are protected by default.
|
||||
(Routes protected by default include /assistants, /threads, and /runs).
|
||||
|
||||
@@ -389,42 +389,42 @@ class Config(TypedDict, total=False):
|
||||
Must be at least 3.11 or greater for this deployment to function properly.
|
||||
"""
|
||||
|
||||
node_version: Optional[str]
|
||||
node_version: str | None
|
||||
"""Optional. Node.js version as a major version (e.g. '20'), if your deployment needs Node.
|
||||
Must be >= 20 if provided.
|
||||
"""
|
||||
|
||||
api_version: Optional[str]
|
||||
api_version: str | None
|
||||
"""Optional. Which semantic version of the LangGraph API server to use.
|
||||
|
||||
Defaults to latest. Check the
|
||||
[changelog](https://docs.langchain.com/langgraph-platform/langgraph-server-changelog)
|
||||
for more information."""
|
||||
|
||||
_INTERNAL_docker_tag: Optional[str]
|
||||
_INTERNAL_docker_tag: str | None
|
||||
"""Optional. Internal use only.
|
||||
"""
|
||||
|
||||
base_image: Optional[str]
|
||||
base_image: str | None
|
||||
"""Optional. Base image to use for the LangGraph API server.
|
||||
|
||||
Defaults to langchain/langgraph-api or langchain/langgraphjs-api."""
|
||||
|
||||
image_distro: Optional[Distros]
|
||||
image_distro: Distros | None
|
||||
"""Optional. Linux distribution for the base image.
|
||||
|
||||
Must be one of 'wolfi', 'debian', 'bullseye', or 'bookworm'.
|
||||
If omitted, defaults to 'debian' ('latest').
|
||||
"""
|
||||
|
||||
pip_config_file: Optional[str]
|
||||
pip_config_file: str | None
|
||||
"""Optional. Path to a pip config file (e.g., "/etc/pip.conf" or "pip.ini") for controlling
|
||||
package installation (custom indices, credentials, etc.).
|
||||
|
||||
Only relevant if Python dependencies are installed via pip. If omitted, default pip settings are used.
|
||||
"""
|
||||
|
||||
pip_installer: Optional[str]
|
||||
pip_installer: str | None
|
||||
"""Optional. Python package installer to use ('auto', 'pip', 'uv').
|
||||
|
||||
- 'auto' (default): Use uv for supported base images, otherwise pip
|
||||
@@ -469,7 +469,7 @@ class Config(TypedDict, total=False):
|
||||
}
|
||||
"""
|
||||
|
||||
env: Union[dict[str, str], str]
|
||||
env: dict[str, str] | str
|
||||
"""Optional. Environment variables to set for your deployment.
|
||||
|
||||
- If given as a dict, keys are variable names and values are their values.
|
||||
@@ -481,33 +481,33 @@ class Config(TypedDict, total=False):
|
||||
env=".env"
|
||||
"""
|
||||
|
||||
store: Optional[StoreConfig]
|
||||
store: StoreConfig | None
|
||||
"""Optional. Configuration for the built-in long-term memory store, including semantic search indexing.
|
||||
|
||||
If omitted, no vector index is set up (the object store will still be present, however).
|
||||
"""
|
||||
|
||||
checkpointer: Optional[CheckpointerConfig]
|
||||
checkpointer: CheckpointerConfig | None
|
||||
"""Optional. Configuration for the built-in checkpointer, which handles checkpointing of state.
|
||||
|
||||
If omitted, no checkpointer is set up (the object store will still be present, however).
|
||||
"""
|
||||
|
||||
auth: Optional[AuthConfig]
|
||||
auth: AuthConfig | None
|
||||
"""Optional. Custom authentication config, including the path to your Python auth logic and
|
||||
the OpenAPI security definitions it uses.
|
||||
"""
|
||||
|
||||
http: Optional[HttpConfig]
|
||||
http: HttpConfig | None
|
||||
"""Optional. Configuration for the built-in HTTP server, controlling which custom routes are exposed
|
||||
and how cross-origin requests are handled.
|
||||
"""
|
||||
|
||||
ui: Optional[dict[str, str]]
|
||||
ui: dict[str, str] | None
|
||||
"""Optional. Named definitions of UI components emitted by the agent, each pointing to a JS/TS file.
|
||||
"""
|
||||
|
||||
keep_pkg_tools: Optional[Union[bool, list[str]]]
|
||||
keep_pkg_tools: bool | list[str] | None
|
||||
"""Optional. Control whether to retain Python packaging tools in the final image.
|
||||
|
||||
Allowed tools are: "pip", "setuptools", "wheel".
|
||||
@@ -520,7 +520,7 @@ _BUILD_TOOLS = ("pip", "setuptools", "wheel")
|
||||
|
||||
def _get_pip_cleanup_lines(
|
||||
install_cmd: str,
|
||||
to_uninstall: Optional[tuple[str]],
|
||||
to_uninstall: tuple[str] | None,
|
||||
pip_installer: Literal["uv", "pip"],
|
||||
) -> str:
|
||||
commands = [
|
||||
@@ -586,7 +586,7 @@ def _parse_node_version(version_str: str) -> int:
|
||||
) from None
|
||||
|
||||
|
||||
def _is_node_graph(spec: Union[str, dict]) -> bool:
|
||||
def _is_node_graph(spec: str | dict) -> bool:
|
||||
"""Check if a graph is a Node.js graph based on the file extension."""
|
||||
if isinstance(spec, dict):
|
||||
spec = spec.get("path")
|
||||
@@ -846,7 +846,7 @@ class LocalDeps(NamedTuple):
|
||||
real_pkgs: dict[pathlib.Path, tuple[str, str]]
|
||||
faux_pkgs: dict[pathlib.Path, tuple[str, str]]
|
||||
# if . is in dependencies, use it as working_dir
|
||||
working_dir: Optional[str] = None
|
||||
working_dir: str | None = None
|
||||
# if there are local dependencies in parent directories, use additional_contexts
|
||||
additional_contexts: list[pathlib.Path] = None
|
||||
|
||||
@@ -882,7 +882,7 @@ def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps
|
||||
pip_reqs = []
|
||||
real_pkgs = {}
|
||||
faux_pkgs = {}
|
||||
working_dir: Optional[str] = None
|
||||
working_dir: str | None = None
|
||||
additional_contexts: list[pathlib.Path] = []
|
||||
|
||||
for local_dep in config["dependencies"]:
|
||||
@@ -1265,7 +1265,7 @@ def python_config_to_docker(
|
||||
config_path: pathlib.Path,
|
||||
config: Config,
|
||||
base_image: str,
|
||||
api_version: Optional[str] = None,
|
||||
api_version: str | None = None,
|
||||
) -> tuple[str, dict[str, str]]:
|
||||
"""Generate a Dockerfile from the configuration."""
|
||||
pip_installer = config.get("pip_installer", "auto")
|
||||
@@ -1434,7 +1434,7 @@ ADD {relpath} /deps/{name}
|
||||
echo "Installing $dep"; \
|
||||
if [ -d "$dep" ]; then \
|
||||
echo "Installing $dep"; \
|
||||
(cd "$dep" && {global_reqs_pip_install} .); \
|
||||
(cd "$dep" && {global_reqs_pip_install} -e .); \
|
||||
fi; \
|
||||
done""",
|
||||
"# -- End of local dependencies install --",
|
||||
@@ -1469,10 +1469,10 @@ def node_config_to_docker(
|
||||
config_path: pathlib.Path,
|
||||
config: Config,
|
||||
base_image: str,
|
||||
api_version: Optional[str] = None,
|
||||
install_command: Optional[str] = None,
|
||||
build_command: Optional[str] = None,
|
||||
build_context: Optional[str] = None,
|
||||
api_version: str | None = None,
|
||||
install_command: str | None = None,
|
||||
build_command: str | None = None,
|
||||
build_context: str | None = None,
|
||||
) -> tuple[str, dict[str, str]]:
|
||||
# Calculate paths for monorepo support
|
||||
if build_context:
|
||||
@@ -1562,8 +1562,8 @@ def default_base_image(config: Config) -> str:
|
||||
|
||||
def docker_tag(
|
||||
config: Config,
|
||||
base_image: Optional[str] = None,
|
||||
api_version: Optional[str] = None,
|
||||
base_image: str | None = None,
|
||||
api_version: str | None = None,
|
||||
) -> str:
|
||||
api_version = api_version or config.get("api_version")
|
||||
base_image = base_image or default_base_image(config)
|
||||
@@ -1612,11 +1612,11 @@ def _calculate_relative_workdir(config_path: pathlib.Path, build_context: str) -
|
||||
def config_to_docker(
|
||||
config_path: pathlib.Path,
|
||||
config: Config,
|
||||
base_image: Optional[str] = None,
|
||||
api_version: Optional[str] = None,
|
||||
install_command: Optional[str] = None,
|
||||
build_command: Optional[str] = None,
|
||||
build_context: Optional[str] = None,
|
||||
base_image: str | None = None,
|
||||
api_version: str | None = None,
|
||||
install_command: str | None = None,
|
||||
build_command: str | None = None,
|
||||
build_context: str | None = None,
|
||||
) -> tuple[str, dict[str, str]]:
|
||||
base_image = base_image or default_base_image(config)
|
||||
|
||||
@@ -1637,9 +1637,9 @@ def config_to_docker(
|
||||
def config_to_compose(
|
||||
config_path: pathlib.Path,
|
||||
config: Config,
|
||||
base_image: Optional[str] = None,
|
||||
api_version: Optional[str] = None,
|
||||
image: Optional[str] = None,
|
||||
base_image: str | None = None,
|
||||
api_version: str | None = None,
|
||||
image: str | None = None,
|
||||
watch: bool = False,
|
||||
) -> str:
|
||||
base_image = base_image or default_base_image(config)
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import json
|
||||
import pathlib
|
||||
import shutil
|
||||
from typing import Literal, NamedTuple, Optional
|
||||
from typing import Literal, NamedTuple
|
||||
|
||||
import click.exceptions
|
||||
|
||||
@@ -90,9 +90,7 @@ def check_capabilities(runner) -> DockerCapabilities:
|
||||
)
|
||||
|
||||
|
||||
def debugger_compose(
|
||||
*, port: Optional[int] = None, base_url: Optional[str] = None
|
||||
) -> dict:
|
||||
def debugger_compose(*, port: int | None = None, base_url: str | None = None) -> dict:
|
||||
if port is None:
|
||||
return ""
|
||||
|
||||
@@ -141,16 +139,16 @@ def compose_as_dict(
|
||||
capabilities: DockerCapabilities,
|
||||
*,
|
||||
port: int,
|
||||
debugger_port: Optional[int] = None,
|
||||
debugger_base_url: Optional[str] = None,
|
||||
debugger_port: int | None = None,
|
||||
debugger_base_url: str | None = None,
|
||||
# postgres://user:password@host:port/database?option=value
|
||||
postgres_uri: Optional[str] = None,
|
||||
postgres_uri: str | None = None,
|
||||
# If you are running against an already-built image, you can pass it here
|
||||
image: Optional[str] = None,
|
||||
image: str | None = None,
|
||||
# Base image to use for the LangGraph API server
|
||||
base_image: Optional[str] = None,
|
||||
base_image: str | None = None,
|
||||
# API version of the base image
|
||||
api_version: Optional[str] = None,
|
||||
api_version: str | None = None,
|
||||
) -> dict:
|
||||
"""Create a docker compose file as a dictionary in YML style."""
|
||||
if postgres_uri is None:
|
||||
@@ -250,13 +248,13 @@ def compose(
|
||||
capabilities: DockerCapabilities,
|
||||
*,
|
||||
port: int,
|
||||
debugger_port: Optional[int] = None,
|
||||
debugger_base_url: Optional[str] = None,
|
||||
debugger_port: int | None = None,
|
||||
debugger_base_url: str | None = None,
|
||||
# postgres://user:password@host:port/database?option=value
|
||||
postgres_uri: Optional[str] = None,
|
||||
image: Optional[str] = None,
|
||||
base_image: Optional[str] = None,
|
||||
api_version: Optional[str] = None,
|
||||
postgres_uri: str | None = None,
|
||||
image: str | None = None,
|
||||
base_image: str | None = None,
|
||||
api_version: str | None = None,
|
||||
) -> str:
|
||||
"""Create a docker compose file as a string."""
|
||||
compose_content = compose_as_dict(
|
||||
|
||||
@@ -1,8 +1,9 @@
|
||||
import asyncio
|
||||
import signal
|
||||
import sys
|
||||
from collections.abc import Callable
|
||||
from contextlib import contextmanager
|
||||
from typing import Callable, Optional, cast
|
||||
from typing import cast
|
||||
|
||||
import click.exceptions
|
||||
|
||||
@@ -30,12 +31,12 @@ def Runner():
|
||||
async def subp_exec(
|
||||
cmd: str,
|
||||
*args: str,
|
||||
input: Optional[str] = None,
|
||||
wait: Optional[float] = None,
|
||||
input: str | None = None,
|
||||
wait: float | None = None,
|
||||
verbose: bool = False,
|
||||
collect: bool = False,
|
||||
on_stdout: Optional[Callable[[str], Optional[bool]]] = None,
|
||||
) -> tuple[Optional[str], Optional[str]]:
|
||||
on_stdout: Callable[[str], bool | None] | None = None,
|
||||
) -> tuple[str | None, str | None]:
|
||||
if verbose:
|
||||
cmd_str = f"+ {cmd} {' '.join(map(str, args))}"
|
||||
if input:
|
||||
@@ -126,8 +127,8 @@ async def monitor_stream(
|
||||
stream: asyncio.StreamReader,
|
||||
collect: bool = False,
|
||||
display: bool = False,
|
||||
on_line: Optional[Callable[[str], Optional[bool]]] = None,
|
||||
) -> Optional[bytearray]:
|
||||
on_line: Callable[[str], bool | None] | None = None,
|
||||
) -> bytearray | None:
|
||||
if collect:
|
||||
ba = bytearray()
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
import sys
|
||||
import threading
|
||||
import time
|
||||
from typing import Callable
|
||||
from collections.abc import Callable
|
||||
|
||||
|
||||
class Progress:
|
||||
|
||||
@@ -2,7 +2,6 @@ import os
|
||||
import shutil
|
||||
import sys
|
||||
from io import BytesIO
|
||||
from typing import Optional
|
||||
from urllib import error, request
|
||||
from zipfile import ZipFile
|
||||
|
||||
@@ -65,7 +64,7 @@ def _choose_template() -> str:
|
||||
click.secho(f" - {template_info['description']}", fg="white")
|
||||
|
||||
# Get the template choice from the user, defaulting to the first template if blank
|
||||
template_choice: Optional[int] = click.prompt(
|
||||
template_choice: int | None = click.prompt(
|
||||
"Enter the number of your template choice (default is 1)",
|
||||
type=int,
|
||||
default=1,
|
||||
@@ -131,7 +130,7 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
|
||||
sys.exit(1)
|
||||
|
||||
|
||||
def _get_template_url(template_name: str) -> Optional[str]:
|
||||
def _get_template_url(template_name: str) -> str | None:
|
||||
"""
|
||||
Retrieves the template URL based on the provided template name.
|
||||
|
||||
@@ -162,7 +161,7 @@ def _get_template_url(template_name: str) -> Optional[str]:
|
||||
return None
|
||||
|
||||
|
||||
def create_new(path: Optional[str], template: Optional[str]) -> None:
|
||||
def create_new(path: str | None, template: str | None) -> None:
|
||||
"""Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
|
||||
|
||||
Args:
|
||||
|
||||
@@ -7,7 +7,7 @@ name = "langgraph-cli"
|
||||
dynamic = ["version"]
|
||||
description = "CLI for interacting with LangGraph API"
|
||||
authors = []
|
||||
requires-python = ">=3.9"
|
||||
requires-python = ">=3.10"
|
||||
readme = "README.md"
|
||||
license = "MIT"
|
||||
license-files = ['LICENSE']
|
||||
@@ -59,5 +59,7 @@ lint.select = [
|
||||
"UP", # pyupgrade
|
||||
"B", # flake8-bugbear
|
||||
"I", # isort
|
||||
"UP", # pyupgrade
|
||||
]
|
||||
lint.ignore = ["E501", "B008"]
|
||||
target-version = "py310"
|
||||
@@ -407,11 +407,11 @@
|
||||
"properties": {
|
||||
"disable_studio_auth": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If True, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
|
||||
"description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
|
||||
},
|
||||
"openapi": {
|
||||
"$ref": "#/$defs/SecurityConfig",
|
||||
"description": "Required. Detailed security configuration that merges into your deployment's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
|
||||
"description": "The security configuration to include in your server's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
|
||||
},
|
||||
"path": {
|
||||
"type": "string",
|
||||
@@ -442,7 +442,7 @@
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Optional. Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
|
||||
"description": "Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
|
||||
},
|
||||
"security": {
|
||||
"type": "array",
|
||||
@@ -455,14 +455,14 @@
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Optional. Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
|
||||
"description": "Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
|
||||
},
|
||||
"securitySchemes": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object"
|
||||
},
|
||||
"description": "Required. Dict describing each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
|
||||
"description": "Describe each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
|
||||
}
|
||||
},
|
||||
"required": []
|
||||
@@ -555,11 +555,11 @@
|
||||
},
|
||||
"disable_assistants": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
|
||||
"description": "Optional. If `True`, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
|
||||
},
|
||||
"disable_mcp": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
|
||||
},
|
||||
"disable_meta": {
|
||||
"type": "boolean",
|
||||
@@ -567,19 +567,19 @@
|
||||
},
|
||||
"disable_runs": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /runs routes are removed.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /runs routes are removed.\n\nDefault is False.\n"
|
||||
},
|
||||
"disable_store": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
|
||||
},
|
||||
"disable_threads": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /threads routes are removed.\n\nDefault is False.\n"
|
||||
},
|
||||
"enable_custom_route_auth": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
|
||||
"description": "Optional. If `True`, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
|
||||
},
|
||||
"logging_headers": {
|
||||
"anyOf": [
|
||||
@@ -655,7 +655,7 @@
|
||||
"properties": {
|
||||
"allow_credentials": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
|
||||
"description": "Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
|
||||
},
|
||||
"allow_headers": {
|
||||
"type": "array",
|
||||
@@ -774,7 +774,7 @@
|
||||
},
|
||||
"refresh_on_read": {
|
||||
"type": "boolean",
|
||||
"description": "Default behavior for refreshing TTLs on read operations (GET and SEARCH).\n\nIf True, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting refresh_ttl.\nDefaults to True if not configured.\n"
|
||||
"description": "Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).\n\nIf `True`, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting `refresh_ttl`.\nDefaults to `True` if not configured.\n"
|
||||
},
|
||||
"sweep_interval_minutes": {
|
||||
"anyOf": [
|
||||
|
||||
@@ -407,11 +407,11 @@
|
||||
"properties": {
|
||||
"disable_studio_auth": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If True, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
|
||||
"description": "Optional. Whether to disable LangSmith API-key authentication for requests originating the Studio.\n\nDefaults to False, meaning that if a particular header is set, the server will verify the `x-api-key` header\nvalue is a valid API key for the deployment's workspace. If `True`, all requests will go through your custom\nauthentication logic, regardless of origin of the request.\n"
|
||||
},
|
||||
"openapi": {
|
||||
"$ref": "#/$defs/SecurityConfig",
|
||||
"description": "Required. Detailed security configuration that merges into your deployment's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
|
||||
"description": "The security configuration to include in your server's OpenAPI spec.\n\n{\n}\n}\n}\n},\n]\n}\n"
|
||||
},
|
||||
"path": {
|
||||
"type": "string",
|
||||
@@ -442,7 +442,7 @@
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Optional. Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
|
||||
"description": "Path-specific security overrides.\n\n- Keys that are HTTP methods (e.g., \"GET\", \"POST\"),\n- Values are lists of security definitions (just like `security`) for that method.\n"
|
||||
},
|
||||
"security": {
|
||||
"type": "array",
|
||||
@@ -455,14 +455,14 @@
|
||||
}
|
||||
}
|
||||
},
|
||||
"description": "Optional. Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
|
||||
"description": "Global security requirements across all endpoints.\n\nEach element in the list maps a security scheme (e.g. \"OAuth2\") to a list of scopes (e.g. [\"read\", \"write\"])."
|
||||
},
|
||||
"securitySchemes": {
|
||||
"type": "object",
|
||||
"additionalProperties": {
|
||||
"type": "object"
|
||||
},
|
||||
"description": "Required. Dict describing each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
|
||||
"description": "Describe each security scheme recognized by your OpenAPI spec.\n\nKeys are scheme names (e.g. \"OAuth2\", \"ApiKeyAuth\") and values are their definitions."
|
||||
}
|
||||
},
|
||||
"required": []
|
||||
@@ -555,11 +555,11 @@
|
||||
},
|
||||
"disable_assistants": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
|
||||
"description": "Optional. If `True`, /assistants routes are removed from the server.\n\nDefault is False (meaning /assistants is enabled).\n"
|
||||
},
|
||||
"disable_mcp": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /mcp routes are removed, disabling the MCP server.\n\nDefault is False.\n"
|
||||
},
|
||||
"disable_meta": {
|
||||
"type": "boolean",
|
||||
@@ -567,19 +567,19 @@
|
||||
},
|
||||
"disable_runs": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /runs routes are removed.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /runs routes are removed.\n\nDefault is False.\n"
|
||||
},
|
||||
"disable_store": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /store routes are removed, disabling direct store interactions via HTTP.\n\nDefault is False.\n"
|
||||
},
|
||||
"disable_threads": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, /threads routes are removed.\n\nDefault is False.\n"
|
||||
"description": "Optional. If `True`, /threads routes are removed.\n\nDefault is False.\n"
|
||||
},
|
||||
"enable_custom_route_auth": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
|
||||
"description": "Optional. If `True`, authentication is enabled for custom routes,\nnot just the routes that are protected by default.\n(Routes protected by default include /assistants, /threads, and /runs).\n\nDefault is False. This flag only affects authentication behavior\nif `app` is provided and contains custom routes.\n"
|
||||
},
|
||||
"logging_headers": {
|
||||
"anyOf": [
|
||||
@@ -655,7 +655,7 @@
|
||||
"properties": {
|
||||
"allow_credentials": {
|
||||
"type": "boolean",
|
||||
"description": "Optional. If True, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
|
||||
"description": "Optional. If `True`, cross-origin requests can include credentials (cookies, auth headers).\n\nDefault False to avoid accidentally exposing secured endpoints to untrusted sites.\n"
|
||||
},
|
||||
"allow_headers": {
|
||||
"type": "array",
|
||||
@@ -774,7 +774,7 @@
|
||||
},
|
||||
"refresh_on_read": {
|
||||
"type": "boolean",
|
||||
"description": "Default behavior for refreshing TTLs on read operations (GET and SEARCH).\n\nIf True, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting refresh_ttl.\nDefaults to True if not configured.\n"
|
||||
"description": "Default behavior for refreshing TTLs on read operations (`GET` and `SEARCH`).\n\nIf `True`, TTLs will be refreshed on read operations (get/search) by default.\nThis can be overridden per-operation by explicitly setting `refresh_ttl`.\nDefaults to `True` if not configured.\n"
|
||||
},
|
||||
"sweep_interval_minutes": {
|
||||
"anyOf": [
|
||||
|
||||
@@ -149,7 +149,7 @@ services:
|
||||
COPY --from=cli_1 . /deps/cli_1
|
||||
# -- End of local package ../../.. --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}'
|
||||
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
|
||||
|
||||
@@ -456,7 +456,7 @@ RUN set -ex && \\
|
||||
done
|
||||
# -- End of non-package dependency graphs_reqs_a --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGGRAPH_HTTP='{{"app": "/deps/examples/my_app.py:app"}}'
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
|
||||
@@ -512,7 +512,7 @@ RUN set -ex && \\
|
||||
done
|
||||
# -- End of non-package dependency tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
|
||||
"""
|
||||
@@ -559,7 +559,7 @@ RUN set -ex && \\
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}'
|
||||
"""
|
||||
@@ -621,7 +621,7 @@ RUN set -ex && \\
|
||||
done
|
||||
# -- End of non-package dependency graphs --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
|
||||
{FORMATTED_CLEANUP_LINES}\
|
||||
@@ -657,7 +657,7 @@ dependencies = ["langchain"]"""
|
||||
ADD . /deps/unit_tests
|
||||
# -- End of local package . --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{"agent": "/deps/unit_tests/graphs/agent.py:graph"}'
|
||||
"""
|
||||
@@ -705,7 +705,7 @@ RUN set -ex && \\
|
||||
done
|
||||
# -- End of non-package dependency graphs --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PIP_CONFIG_FILE=/pipconfig.txt PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-graphs/src/agent.py:graph"}}'
|
||||
{FORMATTED_CLEANUP_LINES}"""
|
||||
@@ -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(
|
||||
@@ -811,7 +811,7 @@ RUN set -ex && \\
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGGRAPH_UI='{{"agent": "./graphs/agent.ui.jsx"}}'
|
||||
ENV LANGGRAPH_UI_CONFIG='{{"shared": ["nuqs"]}}'
|
||||
@@ -857,7 +857,7 @@ RUN set -ex && \\
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"python": "/deps/outer-unit_tests/unit_tests/multiplatform/python.py:graph", "js": "/deps/outer-unit_tests/unit_tests/multiplatform/js.mts:graph"}}'
|
||||
# -- Installing JS dependencies --
|
||||
@@ -998,7 +998,7 @@ def test_config_to_compose_simple_config():
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
|
||||
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
|
||||
@@ -1039,7 +1039,7 @@ def test_config_to_compose_env_vars():
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
|
||||
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
|
||||
@@ -1084,7 +1084,7 @@ def test_config_to_compose_env_file():
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
|
||||
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
|
||||
@@ -1122,7 +1122,7 @@ def test_config_to_compose_watch():
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
|
||||
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
|
||||
@@ -1169,7 +1169,7 @@ def test_config_to_compose_end_to_end():
|
||||
done
|
||||
# -- End of non-package dependency unit_tests --
|
||||
# -- Installing all local dependencies --
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt .); fi; done
|
||||
RUN for dep in /deps/*; do echo "Installing $dep"; if [ -d "$dep" ]; then echo "Installing $dep"; (cd "$dep" && PYTHONDONTWRITEBYTECODE=1 uv pip install --system --no-cache-dir -c /api/constraints.txt -e .); fi; done
|
||||
# -- End of local dependencies install --
|
||||
ENV LANGSERVE_GRAPHS='{{"agent": "/deps/outer-unit_tests/unit_tests/agent.py:graph"}}'
|
||||
{textwrap.indent(textwrap.dedent(FORMATTED_CLEANUP_LINES), " ")}
|
||||
|
||||
Generated
+6
-201
@@ -1,10 +1,9 @@
|
||||
version = 1
|
||||
revision = 3
|
||||
requires-python = ">=3.9"
|
||||
revision = 2
|
||||
requires-python = ">=3.10"
|
||||
resolution-markers = [
|
||||
"python_full_version >= '3.11'",
|
||||
"python_full_version == '3.10.*'",
|
||||
"python_full_version < '3.10'",
|
||||
"python_full_version < '3.11'",
|
||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -140,18 +139,6 @@ 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" },
|
||||
{ url = "https://files.pythonhosted.org/packages/15/12/a7a79bd0df4c3bff744b2d7e52cc1b68d5e7e427b384252c42366dc1ecbc/cffi-2.0.0-cp39-cp39-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3f4d46d8b35698056ec29bca21546e1551a205058ae1a181d871e278b0b28165", size = 216498, upload-time = "2025-09-08T23:23:52.494Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/a3/ad/5c51c1c7600bdd7ed9a24a203ec255dccdd0ebf4527f7b922a0bde2fb6ed/cffi-2.0.0-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:e6e73b9e02893c764e7e8d5bb5ce277f1a009cd5243f8228f75f842bf937c534", size = 203243, upload-time = "2025-09-08T23:23:53.836Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/32/f2/81b63e288295928739d715d00952c8c6034cb6c6a516b17d37e0c8be5600/cffi-2.0.0-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:cb527a79772e5ef98fb1d700678fe031e353e765d1ca2d409c92263c6d43e09f", size = 203158, upload-time = "2025-09-08T23:23:55.169Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/1f/74/cc4096ce66f5939042ae094e2e96f53426a979864aa1f96a621ad128be27/cffi-2.0.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:61d028e90346df14fedc3d1e5441df818d095f3b87d286825dfcbd6459b7ef63", size = 216548, upload-time = "2025-09-08T23:23:56.506Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/e8/be/f6424d1dc46b1091ffcc8964fa7c0ab0cd36839dd2761b49c90481a6ba1b/cffi-2.0.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:0f6084a0ea23d05d20c3edcda20c3d006f9b6f3fefeac38f59262e10cef47ee2", size = 218897, upload-time = "2025-09-08T23:23:57.825Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f7/e0/dda537c2309817edf60109e39265f24f24aa7f050767e22c98c53fe7f48b/cffi-2.0.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:1cd13c99ce269b3ed80b417dcd591415d3372bcac067009b6e0f59c7d4015e65", size = 211249, upload-time = "2025-09-08T23:23:59.139Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/2b/e7/7c769804eb75e4c4b35e658dba01de1640a351a9653c3d49ca89d16ccc91/cffi-2.0.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89472c9762729b5ae1ad974b777416bfda4ac5642423fa93bd57a09204712322", size = 218041, upload-time = "2025-09-08T23:24:00.496Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/aa/d9/6218d78f920dcd7507fc16a766b5ef8f3b913cc7aa938e7fc80b9978d089/cffi-2.0.0-cp39-cp39-win32.whl", hash = "sha256:2081580ebb843f759b9f617314a24ed5738c51d2aee65d31e02f6f7a2b97707a", size = 172138, upload-time = "2025-09-08T23:24:01.7Z" },
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{ url = "https://files.pythonhosted.org/packages/54/8f/a1e836f82d8e32a97e6b29cc8f641779181ac7363734f12df27db803ebda/cffi-2.0.0-cp39-cp39-win_amd64.whl", hash = "sha256:b882b3df248017dba09d6b16defe9b5c407fe32fc7c65a9c69798e6175601be9", size = 182794, upload-time = "2025-09-08T23:24:02.943Z" },
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||||
]
|
||||
|
||||
[[package]]
|
||||
@@ -215,45 +202,15 @@ wheels = [
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{ url = "https://files.pythonhosted.org/packages/f9/ce/26dc5a6fa956be41d0e984909224ed196ee6f91d607f0b3fd84577741a77/zstandard-0.25.0-cp39-cp39-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:05353cef599a7b0b98baca9b068dd36810c3ef0f42bf282583f438caf6ddcee3", size = 5401150, upload-time = "2025-09-14T22:18:28.745Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/f2/1b/402cab5edcfe867465daf869d5ac2a94930931c0989633bc01d6a7d8bd68/zstandard-0.25.0-cp39-cp39-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:19796b39075201d51d5f5f790bf849221e58b48a39a5fc74837675d8bafc7362", size = 5448595, upload-time = "2025-09-14T22:18:30.475Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/86/b2/fc50c58271a1ead0e5a0a0e6311f4b221f35954dce438ce62751b3af9b68/zstandard-0.25.0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:53e08b2445a6bc241261fea89d065536f00a581f02535f8122eba42db9375530", size = 5555290, upload-time = "2025-09-14T22:18:32.336Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/d2/20/5f72d6ba970690df90fdd37195c5caa992e70cb6f203f74cc2bcc0b8cf30/zstandard-0.25.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:1f3689581a72eaba9131b1d9bdbfe520ccd169999219b41000ede2fca5c1bfdb", size = 5043898, upload-time = "2025-09-14T22:18:34.215Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/e4/f1/131a0382b8b8d11e84690574645f528f5c5b9343e06cefd77f5fd730cd2b/zstandard-0.25.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:d8c56bb4e6c795fc77d74d8e8b80846e1fb8292fc0b5060cd8131d522974b751", size = 5571173, upload-time = "2025-09-14T22:18:36.117Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/53/f6/2a37931023f737fd849c5c28def57442bbafadb626da60cf9ed58461fe24/zstandard-0.25.0-cp39-cp39-musllinux_1_2_aarch64.whl", hash = "sha256:53f94448fe5b10ee75d246497168e5825135d54325458c4bfffbaafabcc0a577", size = 4958261, upload-time = "2025-09-14T22:18:38.098Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/b5/52/ca76ed6dbfd8845a5563d3af4e972da3b9da8a9308ca6b56b0b929d93e23/zstandard-0.25.0-cp39-cp39-musllinux_1_2_i686.whl", hash = "sha256:c2ba942c94e0691467ab901fc51b6f2085ff48f2eea77b1a48240f011e8247c7", size = 5265680, upload-time = "2025-09-14T22:18:39.834Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/7a/59/edd117dedb97a768578b49fb2f1156defb839d1aa5b06200a62be943667f/zstandard-0.25.0-cp39-cp39-musllinux_1_2_ppc64le.whl", hash = "sha256:07b527a69c1e1c8b5ab1ab14e2afe0675614a09182213f21a0717b62027b5936", size = 5439747, upload-time = "2025-09-14T22:18:41.647Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/75/71/c2e9234643dcfbd6c5e975e9a2b0050e1b2afffda6c3a959e1b87997bc80/zstandard-0.25.0-cp39-cp39-musllinux_1_2_s390x.whl", hash = "sha256:51526324f1b23229001eb3735bc8c94f9c578b1bd9e867a0a646a3b17109f388", size = 5818805, upload-time = "2025-09-14T22:18:43.602Z" },
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||||
{ url = "https://files.pythonhosted.org/packages/f5/93/8ebc19f0a31c44ea0e7348f9b0d4b326ed413b6575a3c6ff4ed50222abb6/zstandard-0.25.0-cp39-cp39-musllinux_1_2_x86_64.whl", hash = "sha256:89c4b48479a43f820b749df49cd7ba2dbc2b1b78560ecb5ab52985574fd40b27", size = 5362280, upload-time = "2025-09-14T22:18:45.625Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/b8/e9/29cc59d4a9d51b3fd8b477d858d0bd7ab627f700908bf1517f46ddd470ae/zstandard-0.25.0-cp39-cp39-win32.whl", hash = "sha256:1cd5da4d8e8ee0e88be976c294db744773459d51bb32f707a0f166e5ad5c8649", size = 436460, upload-time = "2025-09-14T22:18:49.077Z" },
|
||||
{ url = "https://files.pythonhosted.org/packages/41/b5/bc7a92c116e2ef32dc8061c209d71e97ff6df37487d7d39adb51a343ee89/zstandard-0.25.0-cp39-cp39-win_amd64.whl", hash = "sha256:37daddd452c0ffb65da00620afb8e17abd4adaae6ce6310702841760c2c26860", size = 506097, upload-time = "2025-09-14T22:18:47.342Z" },
|
||||
]
|
||||
|
||||
@@ -76,7 +76,7 @@ test:
|
||||
test_parallel:
|
||||
make start-services &&\
|
||||
make start-dev-server &&\
|
||||
uv run pytest -n auto --dist worksteal $(TEST) --lf --snapshot-update; \
|
||||
uv run pytest -n auto --dist worksteal $(TEST) -vv --lf; \
|
||||
EXIT_CODE=$$?; \
|
||||
make stop-services; \
|
||||
make stop-dev-server; \
|
||||
|
||||
@@ -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]
|
||||
|
||||
@@ -2,7 +2,7 @@ import operator
|
||||
from collections.abc import Sequence
|
||||
from functools import partial
|
||||
from random import choice
|
||||
from typing import Annotated, Optional
|
||||
from typing import Annotated
|
||||
|
||||
from pydantic import BaseModel, Field, field_validator
|
||||
|
||||
@@ -55,7 +55,7 @@ def pydantic_state(n: int) -> StateGraph:
|
||||
raise TypeError("primary_issue_medium must be a string")
|
||||
return v
|
||||
|
||||
autoresponse: Annotated[Optional[dict], lambda _, y: y] = Field(
|
||||
autoresponse: Annotated[dict | None, lambda _, y: y] = Field(
|
||||
default=None
|
||||
) # Always overwrite
|
||||
|
||||
@@ -75,7 +75,7 @@ def pydantic_state(n: int) -> StateGraph:
|
||||
raise TypeError("issue must be a dict or None")
|
||||
return v
|
||||
|
||||
relevant_rules: Optional[list[dict]] = Field(default=None)
|
||||
relevant_rules: list[dict] | None = Field(default=None)
|
||||
"""SOPs fetched from the rulebook that are relevant to the current conversation."""
|
||||
|
||||
@field_validator("relevant_rules", mode="after")
|
||||
@@ -94,7 +94,7 @@ def pydantic_state(n: int) -> StateGraph:
|
||||
)
|
||||
return v
|
||||
|
||||
memory_docs: Optional[list[dict]] = Field(default=None)
|
||||
memory_docs: list[dict] | None = Field(default=None)
|
||||
"""Memory docs fetched from the memory service that are relevant to the current conversation."""
|
||||
|
||||
@field_validator("memory_docs", mode="after")
|
||||
@@ -145,7 +145,7 @@ def pydantic_state(n: int) -> StateGraph:
|
||||
raise TypeError("responses must be a list of dicts with str keys")
|
||||
return v
|
||||
|
||||
user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
|
||||
user_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
|
||||
Field(default=None)
|
||||
)
|
||||
"""The current user state (by email)."""
|
||||
@@ -157,7 +157,7 @@ def pydantic_state(n: int) -> StateGraph:
|
||||
raise TypeError("user_info must be a dict or None")
|
||||
return v
|
||||
|
||||
crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
|
||||
crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
|
||||
Field(default=None)
|
||||
)
|
||||
"""The CRM information for organization the current user is from."""
|
||||
@@ -170,7 +170,7 @@ def pydantic_state(n: int) -> StateGraph:
|
||||
return v
|
||||
|
||||
email_thread_id: Annotated[
|
||||
Optional[str], lambda x, y: y if y is not None else x
|
||||
str | None, lambda x, y: y if y is not None else x
|
||||
] = Field(default=None)
|
||||
"""The current email thread ID."""
|
||||
|
||||
@@ -194,7 +194,7 @@ def pydantic_state(n: int) -> StateGraph:
|
||||
raise TypeError("slack_participants must be a dict with str keys")
|
||||
return v
|
||||
|
||||
bot_id: Optional[str] = Field(default=None)
|
||||
bot_id: str | None = Field(default=None)
|
||||
"""The ID of the bot user in the slack channel."""
|
||||
|
||||
@field_validator("bot_id", mode="after")
|
||||
|
||||
@@ -1,4 +1,4 @@
|
||||
from typing import Any, Optional
|
||||
from typing import Any
|
||||
from uuid import uuid4
|
||||
|
||||
from langchain_core.callbacks import CallbackManagerForLLMRun
|
||||
@@ -14,7 +14,7 @@ from langgraph.prebuilt.chat_agent_executor import create_react_agent
|
||||
from langgraph.pregel import Pregel
|
||||
|
||||
|
||||
def react_agent(n_tools: int, checkpointer: Optional[BaseCheckpointSaver]) -> Pregel:
|
||||
def react_agent(n_tools: int, checkpointer: BaseCheckpointSaver | None) -> Pregel:
|
||||
class FakeFunctionChatModel(FakeMessagesListChatModel):
|
||||
def bind_tools(self, functions: list):
|
||||
return self
|
||||
@@ -22,8 +22,8 @@ def react_agent(n_tools: int, checkpointer: Optional[BaseCheckpointSaver]) -> Pr
|
||||
def _generate(
|
||||
self,
|
||||
messages: list[BaseMessage],
|
||||
stop: Optional[list[str]] = None,
|
||||
run_manager: Optional[CallbackManagerForLLMRun] = None,
|
||||
stop: list[str] | None = None,
|
||||
run_manager: CallbackManagerForLLMRun | None = None,
|
||||
**kwargs: Any,
|
||||
) -> ChatResult:
|
||||
response = self.responses[self.i].copy()
|
||||
|
||||
@@ -2,7 +2,7 @@ import operator
|
||||
from collections.abc import Sequence
|
||||
from functools import partial
|
||||
from random import choice
|
||||
from typing import Annotated, Optional
|
||||
from typing import Annotated
|
||||
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
@@ -16,28 +16,26 @@ def wide_dict(n: int) -> StateGraph:
|
||||
trigger_events: Annotated[list, operator.add]
|
||||
"""The external events that are converted by the graph."""
|
||||
primary_issue_medium: Annotated[str, lambda x, y: y or x]
|
||||
autoresponse: Annotated[Optional[dict], lambda _, y: y] # Always overwrite
|
||||
autoresponse: Annotated[dict | None, lambda _, y: y] # Always overwrite
|
||||
issue: Annotated[dict | None, lambda x, y: y if y else x]
|
||||
relevant_rules: Optional[list[dict]]
|
||||
relevant_rules: list[dict] | None
|
||||
"""SOPs fetched from the rulebook that are relevant to the current conversation."""
|
||||
memory_docs: Optional[list[dict]]
|
||||
memory_docs: list[dict] | None
|
||||
"""Memory docs fetched from the memory service that are relevant to the current conversation."""
|
||||
categorizations: Annotated[list[dict], operator.add]
|
||||
"""The issue categorizations auto-generated by the AI."""
|
||||
responses: Annotated[list[dict], operator.add]
|
||||
"""The draft responses recommended by the AI."""
|
||||
|
||||
user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x]
|
||||
user_info: Annotated[dict | None, lambda x, y: y if y is not None else x]
|
||||
"""The current user state (by email)."""
|
||||
crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x]
|
||||
crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x]
|
||||
"""The CRM information for organization the current user is from."""
|
||||
email_thread_id: Annotated[
|
||||
Optional[str], lambda x, y: y if y is not None else x
|
||||
]
|
||||
email_thread_id: Annotated[str | None, lambda x, y: y if y is not None else x]
|
||||
"""The current email thread ID."""
|
||||
slack_participants: Annotated[dict, operator.or_]
|
||||
"""The growing list of current slack participants."""
|
||||
bot_id: Optional[str]
|
||||
bot_id: str | None
|
||||
"""The ID of the bot user in the slack channel."""
|
||||
notified_assignees: Annotated[dict, operator.or_]
|
||||
|
||||
|
||||
@@ -3,7 +3,7 @@ from collections.abc import Sequence
|
||||
from dataclasses import dataclass, field
|
||||
from functools import partial
|
||||
from random import choice
|
||||
from typing import Annotated, Optional
|
||||
from typing import Annotated
|
||||
|
||||
from langgraph.constants import END, START
|
||||
from langgraph.graph.state import StateGraph
|
||||
@@ -18,13 +18,13 @@ def wide_state(n: int) -> StateGraph:
|
||||
primary_issue_medium: Annotated[str, lambda x, y: y or x] = field(
|
||||
default="email"
|
||||
)
|
||||
autoresponse: Annotated[Optional[dict], lambda _, y: y] = field(
|
||||
autoresponse: Annotated[dict | None, lambda _, y: y] = field(
|
||||
default=None
|
||||
) # Always overwrite
|
||||
issue: Annotated[dict | None, lambda x, y: y if y else x] = field(default=None)
|
||||
relevant_rules: Optional[list[dict]] = field(default=None)
|
||||
relevant_rules: list[dict] | None = field(default=None)
|
||||
"""SOPs fetched from the rulebook that are relevant to the current conversation."""
|
||||
memory_docs: Optional[list[dict]] = field(default=None)
|
||||
memory_docs: list[dict] | None = field(default=None)
|
||||
"""Memory docs fetched from the memory service that are relevant to the current conversation."""
|
||||
categorizations: Annotated[list[dict], operator.add] = field(
|
||||
default_factory=list
|
||||
@@ -33,21 +33,21 @@ def wide_state(n: int) -> StateGraph:
|
||||
responses: Annotated[list[dict], operator.add] = field(default_factory=list)
|
||||
"""The draft responses recommended by the AI."""
|
||||
|
||||
user_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
|
||||
user_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
|
||||
field(default=None)
|
||||
)
|
||||
"""The current user state (by email)."""
|
||||
crm_info: Annotated[Optional[dict], lambda x, y: y if y is not None else x] = (
|
||||
crm_info: Annotated[dict | None, lambda x, y: y if y is not None else x] = (
|
||||
field(default=None)
|
||||
)
|
||||
"""The CRM information for organization the current user is from."""
|
||||
email_thread_id: Annotated[
|
||||
Optional[str], lambda x, y: y if y is not None else x
|
||||
str | None, lambda x, y: y if y is not None else x
|
||||
] = field(default=None)
|
||||
"""The current email thread ID."""
|
||||
slack_participants: Annotated[dict, operator.or_] = field(default_factory=dict)
|
||||
"""The growing list of current slack participants."""
|
||||
bot_id: Optional[str] = field(default=None)
|
||||
bot_id: str | None = field(default=None)
|
||||
"""The ID of the bot user in the slack channel."""
|
||||
notified_assignees: Annotated[dict, operator.or_] = field(default_factory=dict)
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections import ChainMap
|
||||
from collections.abc import Sequence
|
||||
from collections.abc import Mapping, Sequence
|
||||
from os import getenv
|
||||
from typing import Any, cast
|
||||
|
||||
@@ -162,14 +162,10 @@ def patch_config(
|
||||
Args:
|
||||
config: The config to patch.
|
||||
callbacks: The callbacks to set.
|
||||
Defaults to None.
|
||||
recursion_limit: The recursion limit to set.
|
||||
Defaults to None.
|
||||
max_concurrency: The max number of concurrent steps to run, which also applies to parallelized steps.
|
||||
Defaults to None.
|
||||
run_name: The run name to set. Defaults to None.
|
||||
run_name: The run name to set.
|
||||
configurable: The configurable to set.
|
||||
Defaults to None.
|
||||
|
||||
Returns:
|
||||
RunnableConfig: The patched config.
|
||||
@@ -312,11 +308,22 @@ def ensure_config(*configs: RunnableConfig | None) -> RunnableConfig:
|
||||
for k, v in config.items():
|
||||
if _is_not_empty(v) and k not in CONFIG_KEYS:
|
||||
empty[CONF][k] = v
|
||||
_empty_metadata = empty["metadata"]
|
||||
for key, value in empty[CONF].items():
|
||||
if (
|
||||
not key.startswith("__")
|
||||
and isinstance(value, (str, int, float, bool))
|
||||
and key not in empty["metadata"]
|
||||
):
|
||||
empty["metadata"][key] = value
|
||||
if _exclude_as_metadata(key, value, _empty_metadata):
|
||||
continue
|
||||
_empty_metadata[key] = value
|
||||
return empty
|
||||
|
||||
|
||||
_OMIT = ("key", "token", "secret", "password", "auth")
|
||||
|
||||
|
||||
def _exclude_as_metadata(key: str, value: Any, metadata: Mapping[str, Any]) -> bool:
|
||||
key_lower = key.casefold()
|
||||
return (
|
||||
key.startswith("__")
|
||||
or not isinstance(value, (str, int, float, bool))
|
||||
or key in metadata
|
||||
or any(substr in key_lower for substr in _OMIT)
|
||||
)
|
||||
|
||||
@@ -4,10 +4,10 @@ import dataclasses
|
||||
import types
|
||||
import weakref
|
||||
from collections.abc import Generator, Sequence
|
||||
from typing import Annotated, Any, Optional, Union, get_type_hints
|
||||
from typing import Annotated, Any, Optional, Union, get_origin, get_type_hints
|
||||
|
||||
from pydantic import BaseModel
|
||||
from typing_extensions import NotRequired, ReadOnly, Required, get_origin
|
||||
from typing_extensions import NotRequired, ReadOnly, Required
|
||||
|
||||
from langgraph._internal._typing import MISSING
|
||||
|
||||
@@ -15,6 +15,12 @@ from langgraph._internal._typing import MISSING
|
||||
def _is_optional_type(type_: Any) -> bool:
|
||||
"""Check if a type is Optional."""
|
||||
|
||||
# Handle new union syntax (PEP 604): str | None
|
||||
if isinstance(type_, types.UnionType):
|
||||
return any(
|
||||
arg is type(None) or _is_optional_type(arg) for arg in type_.__args__
|
||||
)
|
||||
|
||||
if hasattr(type_, "__origin__") and hasattr(type_, "__args__"):
|
||||
origin = get_origin(type_)
|
||||
if origin is Optional:
|
||||
|
||||
@@ -7,10 +7,10 @@ import inspect
|
||||
import sys
|
||||
import types
|
||||
from collections.abc import Awaitable, Coroutine, Generator
|
||||
from typing import TypeVar, Union, cast
|
||||
from typing import TypeVar, cast
|
||||
|
||||
T = TypeVar("T")
|
||||
AnyFuture = Union[asyncio.Future, concurrent.futures.Future]
|
||||
AnyFuture = asyncio.Future | concurrent.futures.Future
|
||||
|
||||
CONTEXT_NOT_SUPPORTED = sys.version_info < (3, 11)
|
||||
EAGER_NOT_SUPPORTED = sys.version_info < (3, 12)
|
||||
|
||||
@@ -3,14 +3,11 @@ from __future__ import annotations
|
||||
|
||||
import asyncio
|
||||
import queue
|
||||
import sys
|
||||
import threading
|
||||
import types
|
||||
from collections import deque
|
||||
from time import monotonic
|
||||
|
||||
PY_310 = sys.version_info >= (3, 10)
|
||||
|
||||
|
||||
class AsyncQueue(asyncio.Queue):
|
||||
"""Async unbounded FIFO queue with a wait() method.
|
||||
@@ -24,10 +21,7 @@ class AsyncQueue(asyncio.Queue):
|
||||
ie. this doesn't consume the item, just waits for it.
|
||||
"""
|
||||
while self.empty():
|
||||
if PY_310:
|
||||
getter = self._get_loop().create_future()
|
||||
else:
|
||||
getter = self._loop.create_future()
|
||||
getter = self._get_loop().create_future()
|
||||
self._getters.append(getter)
|
||||
try:
|
||||
await getter
|
||||
|
||||
@@ -8,6 +8,7 @@ import warnings
|
||||
from collections.abc import (
|
||||
AsyncIterator,
|
||||
Awaitable,
|
||||
Callable,
|
||||
Coroutine,
|
||||
Generator,
|
||||
Iterator,
|
||||
@@ -18,10 +19,9 @@ from contextvars import Context, Token, copy_context
|
||||
from functools import partial, wraps
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
Optional,
|
||||
Protocol,
|
||||
Union,
|
||||
TypeGuard,
|
||||
cast,
|
||||
)
|
||||
|
||||
@@ -42,7 +42,6 @@ from langchain_core.runnables.config import (
|
||||
from langchain_core.runnables.utils import Input, Output
|
||||
from langchain_core.tracers.langchain import LangChainTracer
|
||||
from langgraph.store.base import BaseStore
|
||||
from typing_extensions import TypeGuard
|
||||
|
||||
from langgraph._internal._config import (
|
||||
ensure_config,
|
||||
@@ -136,7 +135,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
|
||||
(
|
||||
RunnableConfig,
|
||||
"RunnableConfig",
|
||||
Optional[RunnableConfig],
|
||||
Optional[RunnableConfig], # noqa: UP045
|
||||
"Optional[RunnableConfig]",
|
||||
inspect.Parameter.empty,
|
||||
),
|
||||
@@ -163,7 +162,7 @@ KWARGS_CONFIG_KEYS: tuple[tuple[str, tuple[Any, ...], str, Any], ...] = (
|
||||
(
|
||||
"store",
|
||||
(
|
||||
Optional[BaseStore],
|
||||
Optional[BaseStore], # noqa: UP045
|
||||
"Optional[BaseStore]",
|
||||
),
|
||||
"store",
|
||||
@@ -241,15 +240,15 @@ class _RunnableWithConfigWriterStore(Protocol[Input, Output]):
|
||||
) -> Output: ...
|
||||
|
||||
|
||||
RunnableLike = Union[
|
||||
LCRunnableLike,
|
||||
_RunnableWithWriter[Input, Output],
|
||||
_RunnableWithStore[Input, Output],
|
||||
_RunnableWithWriterStore[Input, Output],
|
||||
_RunnableWithConfigWriter[Input, Output],
|
||||
_RunnableWithConfigStore[Input, Output],
|
||||
_RunnableWithConfigWriterStore[Input, Output],
|
||||
]
|
||||
RunnableLike = (
|
||||
LCRunnableLike
|
||||
| _RunnableWithWriter[Input, Output]
|
||||
| _RunnableWithStore[Input, Output]
|
||||
| _RunnableWithWriterStore[Input, Output]
|
||||
| _RunnableWithConfigWriter[Input, Output]
|
||||
| _RunnableWithConfigStore[Input, Output]
|
||||
| _RunnableWithConfigWriterStore[Input, Output]
|
||||
)
|
||||
|
||||
|
||||
class RunnableCallable(Runnable):
|
||||
@@ -534,9 +533,9 @@ def coerce_to_runnable(
|
||||
|
||||
|
||||
class RunnableSeq(Runnable):
|
||||
"""Sequence of Runnables, where the output of each is the input of the next.
|
||||
"""Sequence of `Runnable`, where the output of each is the input of the next.
|
||||
|
||||
RunnableSeq is a simpler version of RunnableSequence that is internal to
|
||||
`RunnableSeq` is a simpler version of `RunnableSequence` that is internal to
|
||||
LangGraph.
|
||||
"""
|
||||
|
||||
@@ -550,7 +549,7 @@ class RunnableSeq(Runnable):
|
||||
|
||||
Args:
|
||||
steps: The steps to include in the sequence.
|
||||
name: The name of the Runnable. Defaults to None.
|
||||
name: The name of the `Runnable`.
|
||||
|
||||
Raises:
|
||||
ValueError: If the sequence has less than 2 steps.
|
||||
|
||||
@@ -1,5 +1,6 @@
|
||||
import dataclasses
|
||||
from typing import Any, Callable
|
||||
from collections.abc import Callable
|
||||
from typing import Any
|
||||
|
||||
from langgraph.types import _DC_KWARGS
|
||||
|
||||
|
||||
@@ -3,10 +3,10 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from dataclasses import Field
|
||||
from typing import Any, ClassVar, Protocol, Union
|
||||
from typing import Any, ClassVar, Protocol, TypeAlias
|
||||
|
||||
from pydantic import BaseModel
|
||||
from typing_extensions import TypeAlias, TypedDict
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
class TypedDictLikeV1(Protocol):
|
||||
@@ -35,7 +35,7 @@ class DataclassLike(Protocol):
|
||||
__dataclass_fields__: ClassVar[dict[str, Field[Any]]]
|
||||
|
||||
|
||||
StateLike: TypeAlias = Union[TypedDictLikeV1, TypedDictLikeV2, DataclassLike, BaseModel]
|
||||
StateLike: TypeAlias = TypedDictLikeV1 | TypedDictLikeV2 | DataclassLike | BaseModel
|
||||
"""Type alias for state-like types.
|
||||
|
||||
It can either be a `TypedDict`, `dataclass`, or Pydantic `BaseModel`.
|
||||
|
||||
@@ -39,13 +39,13 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
|
||||
|
||||
def copy(self) -> Self:
|
||||
"""Return a copy of the channel.
|
||||
By default, delegates to checkpoint() and from_checkpoint().
|
||||
By default, delegates to `checkpoint()` and `from_checkpoint()`.
|
||||
Subclasses can override this method with a more efficient implementation."""
|
||||
return self.from_checkpoint(self.checkpoint())
|
||||
|
||||
def checkpoint(self) -> Checkpoint | Any:
|
||||
"""Return a serializable representation of the channel's current state.
|
||||
Raises EmptyChannelError if the channel is empty (never updated yet),
|
||||
Raises `EmptyChannelError` if the channel is empty (never updated yet),
|
||||
or doesn't support checkpoints."""
|
||||
try:
|
||||
return self.get()
|
||||
@@ -63,12 +63,12 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
|
||||
def get(self) -> Value:
|
||||
"""Return the current value of the channel.
|
||||
|
||||
Raises EmptyChannelError if the channel is empty (never updated yet)."""
|
||||
Raises `EmptyChannelError` if the channel is empty (never updated yet)."""
|
||||
|
||||
def is_available(self) -> bool:
|
||||
"""Return True if the channel is available (not empty), False otherwise.
|
||||
"""Return `True` if the channel is available (not empty), `False` otherwise.
|
||||
Subclasses should override this method to provide a more efficient
|
||||
implementation than calling get() and catching EmptyChannelError.
|
||||
implementation than calling get() and catching `EmptyChannelError`.
|
||||
"""
|
||||
try:
|
||||
self.get()
|
||||
@@ -84,15 +84,15 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
|
||||
The order of the updates in the sequence is arbitrary.
|
||||
This method is called by Pregel for all channels at the end of each step.
|
||||
If there are no updates, it is called with an empty sequence.
|
||||
Raises InvalidUpdateError if the sequence of updates is invalid.
|
||||
Returns True if the channel was updated, False otherwise."""
|
||||
Raises `InvalidUpdateError` if the sequence of updates is invalid.
|
||||
Returns `True` if the channel was updated, `False` otherwise."""
|
||||
|
||||
def consume(self) -> bool:
|
||||
"""Notify the channel that a subscribed task ran. By default, no-op.
|
||||
A channel can use this method to modify its state, preventing the value
|
||||
from being consumed again.
|
||||
|
||||
Returns True if the channel was updated, False otherwise.
|
||||
Returns `True` if the channel was updated, `False` otherwise.
|
||||
"""
|
||||
return False
|
||||
|
||||
@@ -100,6 +100,6 @@ class BaseChannel(Generic[Value, Update, Checkpoint], ABC):
|
||||
"""Notify the channel that the Pregel run is finishing. By default, no-op.
|
||||
A channel can use this method to modify its state, preventing finish.
|
||||
|
||||
Returns True if the channel was updated, False otherwise.
|
||||
Returns `True` if the channel was updated, `False` otherwise.
|
||||
"""
|
||||
return False
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
import collections.abc
|
||||
from collections.abc import Sequence
|
||||
from typing import Callable, Generic
|
||||
from collections.abc import Callable, Sequence
|
||||
from typing import Generic
|
||||
|
||||
from typing_extensions import NotRequired, Required, Self
|
||||
|
||||
|
||||
@@ -1,7 +1,7 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Iterator, Sequence
|
||||
from typing import Any, Generic, Union
|
||||
from typing import Any, Generic
|
||||
|
||||
from typing_extensions import Self
|
||||
|
||||
@@ -22,13 +22,13 @@ def _flatten(values: Sequence[Value | list[Value]]) -> Iterator[Value]:
|
||||
|
||||
class Topic(
|
||||
Generic[Value],
|
||||
BaseChannel[Sequence[Value], Union[Value, list[Value]], list[Value]],
|
||||
BaseChannel[Sequence[Value], Value | list[Value], list[Value]],
|
||||
):
|
||||
"""A configurable PubSub Topic.
|
||||
|
||||
Args:
|
||||
typ: The type of the value stored in the channel.
|
||||
accumulate: Whether to accumulate values across steps. If False, the channel will be emptied after each step.
|
||||
accumulate: Whether to accumulate values across steps. If `False`, the channel will be emptied after each step.
|
||||
"""
|
||||
|
||||
__slots__ = ("values", "accumulate")
|
||||
@@ -51,7 +51,7 @@ class Topic(
|
||||
@property
|
||||
def UpdateType(self) -> Any:
|
||||
"""The type of the update received by the channel."""
|
||||
return Union[self.typ, list[self.typ]] # type: ignore[name-defined]
|
||||
return self.typ | list[self.typ] # type: ignore[name-defined]
|
||||
|
||||
def copy(self) -> Self:
|
||||
"""Return a copy of the channel."""
|
||||
|
||||
@@ -50,7 +50,7 @@ class GraphRecursionError(RecursionError):
|
||||
|
||||
Troubleshooting Guides:
|
||||
|
||||
- [GRAPH_RECURSION_LIMIT](https://python.langchain.com/docs/troubleshooting/errors/GRAPH_RECURSION_LIMIT)
|
||||
- [GRAPH_RECURSION_LIMIT](https://docs.langchain.com/oss/python/langgraph/GRAPH_RECURSION_LIMIT)
|
||||
|
||||
Examples:
|
||||
|
||||
@@ -70,8 +70,8 @@ class InvalidUpdateError(Exception):
|
||||
|
||||
Troubleshooting Guides:
|
||||
|
||||
- [INVALID_CONCURRENT_GRAPH_UPDATE](https://python.langchain.com/docs/troubleshooting/errors/INVALID_CONCURRENT_GRAPH_UPDATE)
|
||||
- [INVALID_GRAPH_NODE_RETURN_VALUE](https://python.langchain.com/docs/troubleshooting/errors/INVALID_GRAPH_NODE_RETURN_VALUE)
|
||||
- [INVALID_CONCURRENT_GRAPH_UPDATE](https://docs.langchain.com/oss/python/langgraph/INVALID_CONCURRENT_GRAPH_UPDATE)
|
||||
- [INVALID_GRAPH_NODE_RETURN_VALUE](https://docs.langchain.com/oss/python/langgraph/INVALID_GRAPH_NODE_RETURN_VALUE)
|
||||
"""
|
||||
|
||||
pass
|
||||
@@ -90,14 +90,11 @@ class GraphInterrupt(GraphBubbleUp):
|
||||
|
||||
|
||||
@deprecated(
|
||||
"NodeInterrupt is deprecated. Please use `langgraph.types.interrupt` instead.",
|
||||
"NodeInterrupt is deprecated. Please use [`interrupt`][langgraph.types.interrupt] instead.",
|
||||
category=None,
|
||||
)
|
||||
class NodeInterrupt(GraphInterrupt):
|
||||
"""Raised by a node to interrupt execution.
|
||||
|
||||
Deprecated in V1.0.0 in favor of [`interrupt`][langgraph.types.interrupt].
|
||||
"""
|
||||
"""Raised by a node to interrupt execution."""
|
||||
|
||||
def __init__(self, value: Any, id: str | None = None) -> None:
|
||||
warn(
|
||||
|
||||
@@ -3,11 +3,10 @@ from __future__ import annotations
|
||||
import functools
|
||||
import inspect
|
||||
import warnings
|
||||
from collections.abc import Awaitable, Sequence
|
||||
from collections.abc import Awaitable, Callable, Sequence
|
||||
from dataclasses import dataclass
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
Generic,
|
||||
TypeVar,
|
||||
cast,
|
||||
@@ -130,12 +129,12 @@ def task(
|
||||
The `task` decorator supports both sync and async functions. To use async
|
||||
functions, ensure that you are using Python 3.11 or higher.
|
||||
|
||||
Tasks can only be called from within an [entrypoint][langgraph.func.entrypoint] or
|
||||
from within a StateGraph. A task can be called like a regular function with the
|
||||
Tasks can only be called from within an [`entrypoint`][langgraph.func.entrypoint] or
|
||||
from within a `StateGraph`. A task can be called like a regular function with the
|
||||
following differences:
|
||||
|
||||
- When a checkpointer is enabled, the function inputs and outputs must be serializable.
|
||||
- The decorated function can only be called from within an entrypoint or StateGraph.
|
||||
- The decorated function can only be called from within an entrypoint or `StateGraph`.
|
||||
- Calling the function produces a future. This makes it easy to parallelize tasks.
|
||||
|
||||
Args:
|
||||
@@ -240,11 +239,11 @@ class entrypoint(Generic[ContextT]):
|
||||
The decorated function can request access to additional parameters
|
||||
that will be injected automatically at run time. These parameters include:
|
||||
|
||||
| Parameter | Description |
|
||||
|------------------|----------------------------------------------------------------------------------------------------|
|
||||
| **`config`** | A configuration object (aka RunnableConfig) that holds run-time configuration values. |
|
||||
| **`previous`** | The previous return value for the given thread (available only when a checkpointer is provided). |
|
||||
| **`runtime`** | A Runtime object that contains information about the current run, including context, store, writer | |
|
||||
| Parameter | Description |
|
||||
|------------------|------------------------------------------------------------------------------------------------------|
|
||||
| **`config`** | A configuration object (aka `RunnableConfig`) that holds run-time configuration values. |
|
||||
| **`previous`** | The previous return value for the given thread (available only when a checkpointer is provided). |
|
||||
| **`runtime`** | A `Runtime` object that contains information about the current run, including context, store, writer |
|
||||
|
||||
The entrypoint decorator can be applied to sync functions or async functions.
|
||||
|
||||
@@ -462,11 +461,11 @@ class entrypoint(Generic[ContextT]):
|
||||
"""
|
||||
|
||||
value: R
|
||||
"""Value to return. A value will always be returned even if it is None."""
|
||||
"""Value to return. A value will always be returned even if it is `None`."""
|
||||
save: S
|
||||
"""The value for the state for the next checkpoint.
|
||||
|
||||
A value will always be saved even if it is None.
|
||||
A value will always be saved even if it is `None`.
|
||||
"""
|
||||
|
||||
def __call__(self, func: Callable[..., Any]) -> Pregel:
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import Awaitable, Hashable, Sequence
|
||||
from collections.abc import Awaitable, Callable, Hashable, Sequence
|
||||
from inspect import (
|
||||
isfunction,
|
||||
ismethod,
|
||||
@@ -10,10 +10,8 @@ from itertools import zip_longest
|
||||
from types import FunctionType
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
Literal,
|
||||
NamedTuple,
|
||||
Union,
|
||||
cast,
|
||||
get_args,
|
||||
get_origin,
|
||||
@@ -35,8 +33,8 @@ from langgraph.pregel._write import PASSTHROUGH, ChannelWrite, ChannelWriteEntry
|
||||
from langgraph.types import Send
|
||||
|
||||
_Writer = Callable[
|
||||
[Sequence[Union[str, Send]], bool],
|
||||
Sequence[Union[ChannelWriteEntry, Send]],
|
||||
[Sequence[str | Send], bool],
|
||||
Sequence[ChannelWriteEntry | Send],
|
||||
]
|
||||
|
||||
|
||||
@@ -205,7 +203,7 @@ class BranchSpec(NamedTuple):
|
||||
r if isinstance(r, Send) else self.ends[r] for r in result
|
||||
]
|
||||
else:
|
||||
destinations = cast(Sequence[Union[Send, str]], result)
|
||||
destinations = cast(Sequence[Send | str], result)
|
||||
if any(dest is None or dest == START for dest in destinations):
|
||||
raise ValueError("Branch did not return a valid destination")
|
||||
if any(p.node == END for p in destinations if isinstance(p, Send)):
|
||||
|
||||
@@ -1,21 +1,17 @@
|
||||
from __future__ import annotations
|
||||
|
||||
import sys
|
||||
from collections.abc import Sequence
|
||||
from dataclasses import dataclass
|
||||
from typing import Any, Generic, Protocol, Union
|
||||
from typing import Any, Generic, Protocol, TypeAlias
|
||||
|
||||
from langchain_core.runnables import Runnable, RunnableConfig
|
||||
from langgraph.store.base import BaseStore
|
||||
from typing_extensions import TypeAlias
|
||||
|
||||
from langgraph._internal._typing import EMPTY_SEQ
|
||||
from langgraph.runtime import Runtime
|
||||
from langgraph.types import CachePolicy, RetryPolicy, StreamWriter
|
||||
from langgraph.typing import ContextT, NodeInputT, NodeInputT_contra
|
||||
|
||||
_DC_SLOTS = {"slots": True} if sys.version_info >= (3, 10) else {}
|
||||
|
||||
|
||||
class _Node(Protocol[NodeInputT_contra]):
|
||||
def __call__(self, state: NodeInputT_contra) -> Any: ...
|
||||
@@ -71,21 +67,21 @@ class _NodeWithRuntime(Protocol[NodeInputT_contra, ContextT]):
|
||||
# TODO: we probably don't want to explicitly support the config / store signatures once
|
||||
# we move to adding a context arg. Maybe what we do is we add support for kwargs with param spec
|
||||
# this is purely for typing purposes though, so can easily change in the coming weeks.
|
||||
StateNode: TypeAlias = Union[
|
||||
_Node[NodeInputT],
|
||||
_NodeWithConfig[NodeInputT],
|
||||
_NodeWithWriter[NodeInputT],
|
||||
_NodeWithStore[NodeInputT],
|
||||
_NodeWithWriterStore[NodeInputT],
|
||||
_NodeWithConfigWriter[NodeInputT],
|
||||
_NodeWithConfigStore[NodeInputT],
|
||||
_NodeWithConfigWriterStore[NodeInputT],
|
||||
_NodeWithRuntime[NodeInputT, ContextT],
|
||||
Runnable[NodeInputT, Any],
|
||||
]
|
||||
StateNode: TypeAlias = (
|
||||
_Node[NodeInputT]
|
||||
| _NodeWithConfig[NodeInputT]
|
||||
| _NodeWithWriter[NodeInputT]
|
||||
| _NodeWithStore[NodeInputT]
|
||||
| _NodeWithWriterStore[NodeInputT]
|
||||
| _NodeWithConfigWriter[NodeInputT]
|
||||
| _NodeWithConfigStore[NodeInputT]
|
||||
| _NodeWithConfigWriterStore[NodeInputT]
|
||||
| _NodeWithRuntime[NodeInputT, ContextT]
|
||||
| Runnable[NodeInputT, Any]
|
||||
)
|
||||
|
||||
|
||||
@dataclass(**_DC_SLOTS)
|
||||
@dataclass(slots=True)
|
||||
class StateNodeSpec(Generic[NodeInputT, ContextT]):
|
||||
runnable: StateNode[NodeInputT, ContextT]
|
||||
metadata: dict[str, Any] | None
|
||||
|
||||
@@ -2,14 +2,12 @@ from __future__ import annotations
|
||||
|
||||
import uuid
|
||||
import warnings
|
||||
from collections.abc import Sequence
|
||||
from collections.abc import Callable, Sequence
|
||||
from functools import partial
|
||||
from typing import (
|
||||
Annotated,
|
||||
Any,
|
||||
Callable,
|
||||
Literal,
|
||||
Union,
|
||||
cast,
|
||||
)
|
||||
|
||||
@@ -34,7 +32,7 @@ __all__ = (
|
||||
"MessageGraph",
|
||||
)
|
||||
|
||||
Messages = Union[list[MessageLikeRepresentation], MessageLikeRepresentation]
|
||||
Messages = list[MessageLikeRepresentation] | MessageLikeRepresentation
|
||||
|
||||
REMOVE_ALL_MESSAGES = "__remove_all__"
|
||||
|
||||
@@ -74,15 +72,15 @@ def add_messages(
|
||||
left: The base list of messages.
|
||||
right: The list of messages (or single message) to merge
|
||||
into the base list.
|
||||
format: The format to return messages in. If None then messages will be
|
||||
returned as is. If 'langchain-openai' then messages will be returned as
|
||||
BaseMessage objects with their contents formatted to match OpenAI message
|
||||
format, meaning contents can be string, 'text' blocks, or 'image_url' blocks
|
||||
and tool responses are returned as their own ToolMessages.
|
||||
format: The format to return messages in. If `None` then messages will be
|
||||
returned as is. If `langchain-openai` then messages will be returned as
|
||||
`BaseMessage` objects with their contents formatted to match OpenAI message
|
||||
format, meaning contents can be string, `'text'` blocks, or `'image_url'` blocks
|
||||
and tool responses are returned as their own `ToolMessage` objects.
|
||||
|
||||
!!! important "Requirement"
|
||||
|
||||
Must have ``langchain-core>=0.3.11`` installed to use this feature.
|
||||
Must have `langchain-core>=0.3.11` installed to use this feature.
|
||||
|
||||
Returns:
|
||||
A new list of messages with the messages from `right` merged into `left`.
|
||||
@@ -243,15 +241,12 @@ def add_messages(
|
||||
|
||||
|
||||
@deprecated(
|
||||
"MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
|
||||
"MessageGraph is deprecated in langgraph 1.0.0, to be removed in 2.0.0. Please use StateGraph with a `messages` key instead.",
|
||||
category=None,
|
||||
)
|
||||
class MessageGraph(StateGraph):
|
||||
"""A StateGraph where every node receives a list of messages as input and returns one or more messages as output.
|
||||
|
||||
!!! warning "Deprecation"
|
||||
MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.
|
||||
|
||||
MessageGraph is a subclass of StateGraph whose entire state is a single, append-only* list of messages.
|
||||
Each node in a MessageGraph takes a list of messages as input and returns zero or more
|
||||
messages as output. The `add_messages` function is used to merge the output messages from each node
|
||||
|
||||
@@ -2,17 +2,16 @@ from __future__ import annotations
|
||||
|
||||
import inspect
|
||||
import logging
|
||||
import sys
|
||||
import typing
|
||||
import warnings
|
||||
from collections import defaultdict
|
||||
from collections.abc import Awaitable, Hashable, Sequence
|
||||
from collections.abc import Awaitable, Callable, Hashable, Sequence
|
||||
from functools import partial
|
||||
from inspect import isclass, isfunction, ismethod, signature
|
||||
from types import FunctionType
|
||||
from types import NoneType as NoneType
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
Generic,
|
||||
Literal,
|
||||
Union,
|
||||
@@ -83,11 +82,6 @@ from langgraph.types import (
|
||||
from langgraph.typing import ContextT, InputT, NodeInputT, OutputT, StateT
|
||||
from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10
|
||||
|
||||
if sys.version_info < (3, 10):
|
||||
NoneType = type(None)
|
||||
else:
|
||||
from types import NoneType as NoneType
|
||||
|
||||
__all__ = ("StateGraph", "CompiledStateGraph")
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
@@ -125,7 +119,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
Args:
|
||||
state_schema: The schema class that defines the state.
|
||||
context_schema: The schema class that defines the runtime context.
|
||||
Use this to expose immutable context data to your nodes, like user_id, db_conn, etc.
|
||||
Use this to expose immutable context data to your nodes, like `user_id`, `db_conn`, etc.
|
||||
input_schema: The schema class that defines the input to the graph.
|
||||
output_schema: The schema class that defines the output from the graph.
|
||||
|
||||
@@ -370,19 +364,21 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
Args:
|
||||
node: The function or runnable this node will run.
|
||||
If a string is provided, it will be used as the node name, and action will be used as the function or runnable.
|
||||
action: The action associated with the node. (default: None)
|
||||
action: The action associated with the node.
|
||||
Will be used as the node function or runnable if `node` is a string (node name).
|
||||
defer: Whether to defer the execution of the node until the run is about to end.
|
||||
metadata: The metadata associated with the node. (default: None)
|
||||
metadata: The metadata associated with the node.
|
||||
input_schema: The input schema for the node. (default: the graph's state schema)
|
||||
retry_policy: The retry policy for the node. (default: None)
|
||||
retry_policy: The retry policy for the node.
|
||||
If a sequence is provided, the first matching policy will be applied.
|
||||
cache_policy: The cache policy for the node. (default: None)
|
||||
cache_policy: The cache policy for the node.
|
||||
destinations: Destinations that indicate where a node can route to.
|
||||
This is useful for edgeless graphs with nodes that return `Command` objects.
|
||||
If a dict is provided, the keys will be used as the target node names and the values will be used as the labels for the edges.
|
||||
If a tuple is provided, the values will be used as the target node names.
|
||||
NOTE: this is only used for graph rendering and doesn't have any effect on the graph execution.
|
||||
|
||||
!!! note
|
||||
This is only used for graph rendering and doesn't have any effect on the graph execution.
|
||||
|
||||
Example:
|
||||
```python
|
||||
@@ -435,7 +431,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
category=LangGraphDeprecatedSinceV05,
|
||||
)
|
||||
if input_schema is None:
|
||||
input_schema = cast(Union[type[NodeInputT], None], input_)
|
||||
input_schema = cast(type[NodeInputT] | None, input_)
|
||||
|
||||
if not isinstance(node, str):
|
||||
action = node
|
||||
@@ -571,7 +567,7 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
end_key: The key of the end node of the edge.
|
||||
|
||||
Raises:
|
||||
ValueError: If the start key is 'END' or if the start key or end key is not present in the graph.
|
||||
ValueError: If the start key is `'END'` or if the start key or end key is not present in the graph.
|
||||
|
||||
Returns:
|
||||
Self: The instance of the state graph, allowing for method chaining.
|
||||
@@ -628,14 +624,15 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
exiting this node.
|
||||
path: The callable that determines the next
|
||||
node or nodes. If not specifying `path_map` it should return one or
|
||||
more nodes. If it returns END, the graph will stop execution.
|
||||
more nodes. If it returns `'END'`, the graph will stop execution.
|
||||
path_map: Optional mapping of paths to node
|
||||
names. If omitted the paths returned by `path` should be node names.
|
||||
|
||||
Returns:
|
||||
Self: The instance of the graph, allowing for method chaining.
|
||||
|
||||
Note: Without typehints on the `path` function's return value (e.g., `-> Literal["foo", "__end__"]:`)
|
||||
!!! warning
|
||||
Without typehints on the `path` function's return value (e.g., `-> Literal["foo", "__end__"]:`)
|
||||
or a path_map, the graph visualization assumes the edge could transition to any node in the graph.
|
||||
|
||||
""" # noqa: E501
|
||||
@@ -669,13 +666,13 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
"""Add a sequence of nodes that will be executed in the provided order.
|
||||
|
||||
Args:
|
||||
nodes: A sequence of StateNodes (callables that accept a state arg) or (name, StateNode) tuples.
|
||||
If no names are provided, the name will be inferred from the node object (e.g. a runnable or a callable name).
|
||||
nodes: A sequence of `StateNode` (callables that accept a `state` arg) or `(name, StateNode)` tuples.
|
||||
If no names are provided, the name will be inferred from the node object (e.g. a `Runnable` or a `Callable` name).
|
||||
Each node will be executed in the order provided.
|
||||
|
||||
Raises:
|
||||
ValueError: if the sequence is empty.
|
||||
ValueError: if the sequence contains duplicate node names.
|
||||
ValueError: If the sequence is empty.
|
||||
ValueError: If the sequence contains duplicate node names.
|
||||
|
||||
Returns:
|
||||
Self: The instance of the state graph, allowing for method chaining.
|
||||
@@ -818,10 +815,10 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
|
||||
|
||||
Args:
|
||||
checkpointer: A checkpoint saver object or flag.
|
||||
If provided, this Checkpointer serves as a fully versioned "short-term memory" for the graph,
|
||||
If provided, this `Checkpointer` serves as a fully versioned "short-term memory" for the graph,
|
||||
allowing it to be paused, resumed, and replayed from any point.
|
||||
If None, it may inherit the parent graph's checkpointer when used as a subgraph.
|
||||
If False, it will not use or inherit any checkpointer.
|
||||
If `None`, it may inherit the parent graph's checkpointer when used as a subgraph.
|
||||
If `False`, it will not use or inherit any checkpointer.
|
||||
interrupt_before: An optional list of node names to interrupt before.
|
||||
interrupt_after: An optional list of node names to interrupt after.
|
||||
debug: A flag indicating whether to enable debug mode.
|
||||
|
||||
@@ -1,6 +1,6 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from typing import Any, Literal, Union, cast
|
||||
from typing import Any, Literal, cast
|
||||
from uuid import uuid4
|
||||
|
||||
from langchain_core.messages import AnyMessage
|
||||
@@ -55,7 +55,7 @@ class RemoveUIMessage(TypedDict):
|
||||
id: str
|
||||
|
||||
|
||||
AnyUIMessage = Union[UIMessage, RemoveUIMessage]
|
||||
AnyUIMessage = UIMessage | RemoveUIMessage
|
||||
|
||||
|
||||
def push_ui_message(
|
||||
|
||||
@@ -3,11 +3,10 @@ from inspect import isclass
|
||||
from typing import (
|
||||
Any,
|
||||
Generic,
|
||||
TypeGuard,
|
||||
TypeVar,
|
||||
)
|
||||
|
||||
from typing_extensions import TypeGuard
|
||||
|
||||
from langgraph._internal._scratchpad import PregelScratchpad
|
||||
|
||||
V = TypeVar("V")
|
||||
|
||||
@@ -5,16 +5,14 @@ import itertools
|
||||
import sys
|
||||
import threading
|
||||
from collections import defaultdict, deque
|
||||
from collections.abc import Iterable, Mapping, Sequence
|
||||
from collections.abc import Callable, Iterable, Mapping, Sequence
|
||||
from copy import copy
|
||||
from functools import partial
|
||||
from hashlib import sha1
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
Literal,
|
||||
NamedTuple,
|
||||
Optional,
|
||||
Protocol,
|
||||
cast,
|
||||
overload,
|
||||
@@ -82,7 +80,7 @@ from langgraph.types import (
|
||||
Send,
|
||||
)
|
||||
|
||||
GetNextVersion = Callable[[Optional[V], None], V]
|
||||
GetNextVersion = Callable[[V | None, None], V]
|
||||
SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
|
||||
|
||||
|
||||
@@ -392,11 +390,11 @@ def prepare_next_tasks(
|
||||
processes: The mapping of process names to PregelNode instances.
|
||||
channels: The mapping of channel names to BaseChannel instances.
|
||||
managed: The mapping of managed value names to functions.
|
||||
config: The runnable configuration.
|
||||
config: The `Runnable` configuration.
|
||||
step: The current step.
|
||||
for_execution: Whether the tasks are being prepared for execution.
|
||||
store: An instance of BaseStore to make it available for usage within tasks.
|
||||
checkpointer: Checkpointer instance used for saving checkpoints.
|
||||
checkpointer: `Checkpointer` instance used for saving checkpoints.
|
||||
manager: The parent run manager to use for the tasks.
|
||||
trigger_to_nodes: Optional: Mapping of channel names to the set of nodes
|
||||
that are can be triggered by that channel.
|
||||
@@ -415,7 +413,7 @@ def prepare_next_tasks(
|
||||
null_version = checkpoint_null_version(checkpoint)
|
||||
tasks: list[PregelTask | PregelExecutableTask] = []
|
||||
# Consume pending tasks
|
||||
tasks_channel = cast(Optional[Topic[Send]], channels.get(TASKS))
|
||||
tasks_channel = cast(Topic[Send] | None, channels.get(TASKS))
|
||||
if tasks_channel and tasks_channel.is_available():
|
||||
for idx, _ in enumerate(tasks_channel.get()):
|
||||
if task := prepare_single_task(
|
||||
|
||||
@@ -7,8 +7,8 @@ import functools
|
||||
import inspect
|
||||
import sys
|
||||
import types
|
||||
from collections.abc import Awaitable, Generator, Sequence
|
||||
from typing import Any, Callable, Generic, TypeVar, cast
|
||||
from collections.abc import Awaitable, Callable, Generator, Sequence
|
||||
from typing import Any, Generic, TypeVar, cast
|
||||
|
||||
from langchain_core.runnables import Runnable
|
||||
from typing_extensions import ParamSpec
|
||||
|
||||
@@ -3,12 +3,11 @@ from __future__ import annotations
|
||||
import asyncio
|
||||
import concurrent.futures
|
||||
import time
|
||||
from collections.abc import Awaitable, Coroutine
|
||||
from collections.abc import Awaitable, Callable, Coroutine
|
||||
from contextlib import AbstractAsyncContextManager, AbstractContextManager, ExitStack
|
||||
from contextvars import copy_context
|
||||
from types import TracebackType
|
||||
from typing import (
|
||||
Callable,
|
||||
Protocol,
|
||||
TypeVar,
|
||||
cast,
|
||||
|
||||
@@ -4,7 +4,7 @@ import asyncio
|
||||
import binascii
|
||||
import concurrent.futures
|
||||
from collections import defaultdict, deque
|
||||
from collections.abc import Iterator, Mapping, Sequence
|
||||
from collections.abc import Callable, Iterator, Mapping, Sequence
|
||||
from contextlib import (
|
||||
AbstractAsyncContextManager,
|
||||
AbstractContextManager,
|
||||
@@ -16,9 +16,7 @@ from inspect import signature
|
||||
from types import TracebackType
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
Literal,
|
||||
Optional,
|
||||
TypeVar,
|
||||
cast,
|
||||
)
|
||||
@@ -114,7 +112,6 @@ from langgraph.types import (
|
||||
CachePolicy,
|
||||
Command,
|
||||
Durability,
|
||||
Interrupt,
|
||||
PregelExecutableTask,
|
||||
RetryPolicy,
|
||||
StreamMode,
|
||||
@@ -249,7 +246,6 @@ class PregelLoop:
|
||||
self.retry_policy = retry_policy
|
||||
self.cache_policy = cache_policy
|
||||
self.durability = durability
|
||||
self.skipped_task_ids: set[str] = set()
|
||||
if self.stream is not None and CONFIG_KEY_STREAM in config[CONF]:
|
||||
self.stream = DuplexStream(self.stream, config[CONF][CONFIG_KEY_STREAM])
|
||||
scratchpad: PregelScratchpad | None = config[CONF].get(CONFIG_KEY_SCRATCHPAD)
|
||||
@@ -318,19 +314,14 @@ class PregelLoop:
|
||||
writes_to_save: WritesT = [
|
||||
w[1:] for w in self.checkpoint_pending_writes if w[0] == task_id
|
||||
] + list(writes)
|
||||
self.checkpoint_pending_writes.extend((task_id, c, v) for c, v in writes)
|
||||
else:
|
||||
writes_to_save = [
|
||||
# aggregate existing interrupts for this task
|
||||
(ch, self._merge_interrupts(task_id, v) if ch == INTERRUPT else v)
|
||||
for ch, v in writes
|
||||
]
|
||||
|
||||
# replace all writes for this task_id in one shot
|
||||
# remove existing writes for this task
|
||||
self.checkpoint_pending_writes = [
|
||||
w for w in self.checkpoint_pending_writes if w[0] != task_id
|
||||
] + [(task_id, c, v) for c, v in writes_to_save]
|
||||
|
||||
]
|
||||
writes_to_save = writes
|
||||
# save writes
|
||||
self.checkpoint_pending_writes.extend((task_id, c, v) for c, v in writes)
|
||||
if self.durability != "exit" and self.checkpointer_put_writes is not None:
|
||||
config = patch_configurable(
|
||||
self.checkpoint_config,
|
||||
@@ -411,7 +402,7 @@ class PregelLoop:
|
||||
checkpoint_id_bytes = binascii.unhexlify(self.checkpoint["id"].replace("-", ""))
|
||||
null_version = checkpoint_null_version(self.checkpoint)
|
||||
if pushed := cast(
|
||||
Optional[PregelExecutableTask],
|
||||
PregelExecutableTask | None,
|
||||
prepare_single_task(
|
||||
(PUSH, task.path, write_idx, task.id, call),
|
||||
None,
|
||||
@@ -478,20 +469,6 @@ class PregelLoop:
|
||||
cache_policy=self.cache_policy,
|
||||
)
|
||||
|
||||
resume_map = self.config.get(CONF, {}).get(CONFIG_KEY_RESUME_MAP, {})
|
||||
if resume_map:
|
||||
skipped_interrupt_ids = self._pending_interrupts() - set(resume_map)
|
||||
self.skipped_task_ids = {
|
||||
task_id
|
||||
for task_id, channel, value in self.checkpoint_pending_writes
|
||||
if channel == INTERRUPT
|
||||
# interrupts within a task are uncovered sequentially as resumes are provided,
|
||||
# so we only need to check the last interrupt id
|
||||
and value[-1].id in skipped_interrupt_ids
|
||||
}
|
||||
else:
|
||||
self.skipped_task_ids = set()
|
||||
|
||||
# produce debug output
|
||||
if self._checkpointer_put_after_previous is not None:
|
||||
self._emit(
|
||||
@@ -537,45 +514,9 @@ class PregelLoop:
|
||||
if task.writes:
|
||||
self.output_writes(task.id, task.writes, cached=True)
|
||||
|
||||
if self.skipped_task_ids:
|
||||
# remove tasks with writes that may have been matched from previous loop
|
||||
self.skipped_task_ids = {
|
||||
task_id
|
||||
for task_id in self.skipped_task_ids
|
||||
if not self.tasks[task_id].writes
|
||||
}
|
||||
# output interrupt writes for blocked tasks so they are still visible in the stream
|
||||
for task_id, channel, value in self.checkpoint_pending_writes:
|
||||
if task_id in self.skipped_task_ids and channel == INTERRUPT:
|
||||
# find resume count for this task
|
||||
resumes = next(
|
||||
(
|
||||
v
|
||||
for tid, ch, v in self.checkpoint_pending_writes
|
||||
if tid == task_id and ch == RESUME
|
||||
),
|
||||
None,
|
||||
)
|
||||
resume_count = len(resumes) if resumes is not None else 0
|
||||
# only output unresumed interrupts
|
||||
if resume_count < len(value):
|
||||
self.output_writes(task_id, [(INTERRUPT, value[resume_count:])])
|
||||
|
||||
return True
|
||||
|
||||
def after_tick(self) -> None:
|
||||
if self.skipped_task_ids:
|
||||
# raise early GraphInterrupt for skipped tasks.
|
||||
# since we know len(resumes) != len(interrupts) for these tasks, we
|
||||
# can prevent unnecessary node re-execution by raising preemptively
|
||||
interrupts = []
|
||||
for task_id, channel, value in self.checkpoint_pending_writes:
|
||||
if channel == INTERRUPT and task_id in self.skipped_task_ids:
|
||||
interrupts.extend(value)
|
||||
if interrupts:
|
||||
raise GraphInterrupt(interrupts)
|
||||
|
||||
self.skipped_task_ids.clear()
|
||||
# finish superstep
|
||||
writes = [w for t in self.tasks.values() for w in t.writes]
|
||||
# all tasks have finished
|
||||
@@ -627,53 +568,34 @@ class PregelLoop:
|
||||
|
||||
def _pending_interrupts(self) -> set[str]:
|
||||
"""Return the set of interrupt ids that are pending without corresponding resume values."""
|
||||
# mapping of task ids to (interrupt_id, interrupt_count)
|
||||
pending_interrupts: dict[str, tuple[str, int]] = {}
|
||||
# mapping of task ids to resume count
|
||||
pending_resumes: dict[str, int] = {}
|
||||
# mapping of task ids to interrupt ids
|
||||
pending_interrupts: dict[str, str] = {}
|
||||
|
||||
for task_id, channel, value in self.checkpoint_pending_writes:
|
||||
if channel == INTERRUPT:
|
||||
pending_interrupts[task_id] = (
|
||||
value[0].id,
|
||||
len(value),
|
||||
)
|
||||
elif channel == RESUME:
|
||||
resume_list = value if isinstance(value, list) else [value]
|
||||
pending_resumes[task_id] = len(resume_list)
|
||||
# set of resume task ids
|
||||
pending_resumes: set[str] = set()
|
||||
|
||||
# keep only interrupt ids where resume_count < interrupt_count
|
||||
for task_id, write_type, value in self.checkpoint_pending_writes:
|
||||
if write_type == INTERRUPT:
|
||||
# interrupts is always a list, but there should only be one element
|
||||
pending_interrupts[task_id] = value[0].id
|
||||
elif write_type == RESUME:
|
||||
pending_resumes.add(task_id)
|
||||
|
||||
resumed_interrupt_ids = {
|
||||
pending_interrupts[task_id]
|
||||
for task_id in pending_resumes
|
||||
if task_id in pending_interrupts
|
||||
}
|
||||
|
||||
# Keep only interrupts whose interrupt_id is not resumed
|
||||
hanging_interrupts: set[str] = {
|
||||
interrupt_id
|
||||
for task_id, (interrupt_id, interrupt_count) in pending_interrupts.items()
|
||||
if pending_resumes.get(task_id, 0) < interrupt_count
|
||||
for interrupt_id in pending_interrupts.values()
|
||||
if interrupt_id not in resumed_interrupt_ids
|
||||
}
|
||||
|
||||
return hanging_interrupts
|
||||
|
||||
def _merge_interrupts(
|
||||
self, task_id: str, value: Sequence[Interrupt]
|
||||
) -> Sequence[Interrupt]:
|
||||
"""Normalize interrupt value to list and merge with existing interrupts.
|
||||
|
||||
If the interrupt ID matches existing, append; otherwise replace.
|
||||
|
||||
Returns list of Interrupt objects for this task.
|
||||
"""
|
||||
new = value if isinstance(value, list) else list(value)
|
||||
existing = next(
|
||||
(
|
||||
v
|
||||
for tid, ch, v in self.checkpoint_pending_writes
|
||||
if tid == task_id and ch == INTERRUPT
|
||||
),
|
||||
None,
|
||||
)
|
||||
if existing is None:
|
||||
return new
|
||||
old = existing if isinstance(existing, list) else list(existing)
|
||||
return old + new if old and new and old[0].id == new[0].id else new
|
||||
|
||||
def _first(
|
||||
self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
|
||||
) -> set[str] | None:
|
||||
@@ -1102,7 +1024,6 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
|
||||
|
||||
def put_writes(self, task_id: str, writes: WritesT) -> None:
|
||||
"""Put writes for a task, to be read by the next tick."""
|
||||
|
||||
super().put_writes(task_id, writes)
|
||||
if not writes or self.cache is None or not hasattr(self, "tasks"):
|
||||
return
|
||||
|
||||
@@ -1,9 +1,8 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Iterator, Sequence
|
||||
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
TypeVar,
|
||||
cast,
|
||||
)
|
||||
|
||||
@@ -1,11 +1,9 @@
|
||||
from __future__ import annotations
|
||||
|
||||
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
|
||||
from collections.abc import AsyncIterator, Callable, Iterator, Mapping, Sequence
|
||||
from functools import cached_property
|
||||
from typing import (
|
||||
Any,
|
||||
Callable,
|
||||
Union,
|
||||
)
|
||||
|
||||
from langchain_core.runnables import Runnable, RunnableConfig
|
||||
@@ -18,7 +16,7 @@ from langgraph.pregel._write import ChannelWrite
|
||||
from langgraph.pregel.protocol import PregelProtocol
|
||||
from langgraph.types import CachePolicy, RetryPolicy
|
||||
|
||||
READ_TYPE = Callable[[Union[str, Sequence[str]], bool], Union[Any, dict[str, Any]]]
|
||||
READ_TYPE = Callable[[str | Sequence[str], bool], Any | dict[str, Any]]
|
||||
INPUT_CACHE_KEY_TYPE = tuple[Callable[..., Any], tuple[str, ...]]
|
||||
|
||||
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user