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1117
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45bf27bafe |
No files matched your search
@@ -7,35 +7,29 @@ body:
|
||||
value: >
|
||||
Thank you for taking the time to file a bug report.
|
||||
|
||||
Use this to report bugs in LangChain.
|
||||
|
||||
If you're not certain that your issue is due to a bug in LangChain, please use [GitHub Discussions](https://github.com/langchain-ai/langchain/discussions)
|
||||
to ask for help with your issue.
|
||||
Use this to report BUGS in LangGraph. For usage questions, feature requests and general design questions, please use [GitHub Discussions](https://github.com/langchain-ai/langgraph/discussions).
|
||||
|
||||
Relevant links to check before filing a bug report to see if your issue has already been reported, fixed or
|
||||
if there's another way to solve your problem:
|
||||
|
||||
[LangGraph documentation](https://langchain-ai.github.io/langgraph/).
|
||||
[LangGraph Github Discussions](https://github.com/langchain-ai/langgraph/discussions),
|
||||
[LangGraph Github Issues](https://github.com/langchain-ai/langgraph/issues),
|
||||
[LangGraph how-to guides](https://langchain-ai.github.io/langgraph/how-tos/).
|
||||
[LangChain documentation with the integrated search](https://python.langchain.com/docs/get_started/introduction),
|
||||
[GitHub search](https://github.com/langchain-ai/langgraph),
|
||||
[LangChain Github Discussions](https://github.com/langchain-ai/langgraph/discussions),
|
||||
[LangChain Github Issues](https://github.com/langchain-ai/langgraph/issues),
|
||||
[LangChain ChatBot](https://chat.langchain.com/)
|
||||
- type: checkboxes
|
||||
id: checks
|
||||
attributes:
|
||||
label: Checked other resources
|
||||
description: Please confirm and check all the following options.
|
||||
description: Before submitting this issue, please confirm that you have completed all the steps below by checking each option. These steps help ensure your issue is well-defined, relevant, and actionable.
|
||||
options:
|
||||
- label: I added a very descriptive title to this issue.
|
||||
- label: This is a bug, not a usage question. For questions, please use GitHub Discussions.
|
||||
required: true
|
||||
- label: I searched the [LangGraph](https://langchain-ai.github.io/langgraph/)/LangChain documentation with the integrated search.
|
||||
- label: I added a clear and detailed title that summarizes the issue.
|
||||
required: true
|
||||
- label: I used the GitHub search to find a similar question and didn't find it.
|
||||
- label: I read what a minimal reproducible example is (https://stackoverflow.com/help/minimal-reproducible-example).
|
||||
required: true
|
||||
- label: I am sure that this is a bug in LangGraph/LangChain rather than my code.
|
||||
required: true
|
||||
- label: I am sure this is better as an issue [rather than a GitHub discussion](https://github.com/langchain-ai/langgraph/discussions/new/choose), since this is a LangGraph bug and not a design question.
|
||||
- label: I included a self-contained, minimal example that demonstrates the issue INCLUDING all the relevant imports. The code run AS IS to reproduce the issue.
|
||||
required: true
|
||||
- type: textarea
|
||||
id: reproduction
|
||||
@@ -45,14 +39,6 @@ body:
|
||||
label: Example Code
|
||||
description: |
|
||||
Please add a self-contained, [minimal, reproducible, example](https://stackoverflow.com/help/minimal-reproducible-example) with your use case.
|
||||
|
||||
If a maintainer can copy it, run it, and see it right away, there's a much higher chance that you'll be able to get help.
|
||||
|
||||
**Important!**
|
||||
|
||||
* Reduce your code to the minimum required to reproduce the issue if possible. This makes it much easier for others to help you.
|
||||
* Avoid screenshots when possible, as they are hard to read and (more importantly) don't allow others to copy-and-paste your code.
|
||||
|
||||
placeholder: |
|
||||
from langgraph.graph import StateGraph
|
||||
|
||||
@@ -92,25 +78,8 @@ body:
|
||||
attributes:
|
||||
label: System Info
|
||||
description: |
|
||||
Please share your system info with us.
|
||||
|
||||
"pip freeze | grep langchain"
|
||||
platform (windows / linux / mac)
|
||||
python version
|
||||
|
||||
OR if you're on a recent version of langchain-core you can paste the output of:
|
||||
|
||||
python -m langchain_core.sys_info
|
||||
placeholder: |
|
||||
"pip freeze | grep langgraph"
|
||||
platform
|
||||
python version
|
||||
|
||||
Alternatively, if you're on a recent version of langchain-core you can paste the output of:
|
||||
|
||||
python -m langchain_core.sys_info
|
||||
|
||||
These will only surface LangChain packages, don't forget to include any other relevant
|
||||
packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
|
||||
validations:
|
||||
required: true
|
||||
@@ -0,0 +1,115 @@
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
import pathlib
|
||||
import sys
|
||||
import langgraph_cli
|
||||
import langgraph_cli.docker
|
||||
import langgraph_cli.config
|
||||
|
||||
from langgraph_cli.exec import Runner, subp_exec
|
||||
from langgraph_cli.progress import Progress
|
||||
from langgraph_cli.constants import DEFAULT_PORT
|
||||
|
||||
|
||||
def test(
|
||||
config: pathlib.Path,
|
||||
port: int,
|
||||
tag: str,
|
||||
verbose: bool,
|
||||
):
|
||||
with Runner() as runner, Progress(message="Pulling...") as set:
|
||||
# check docker available
|
||||
capabilities = langgraph_cli.docker.check_capabilities(runner)
|
||||
# open config
|
||||
config_json = langgraph_cli.config.validate_config_file(config)
|
||||
|
||||
set("Running...")
|
||||
args = [
|
||||
"run",
|
||||
"--rm",
|
||||
"-p",
|
||||
f"{port}:8000",
|
||||
]
|
||||
if isinstance(config_json["env"], str):
|
||||
args.extend(
|
||||
[
|
||||
"--env-file",
|
||||
str(config.parent / config_json["env"]),
|
||||
]
|
||||
)
|
||||
else:
|
||||
for k, v in config_json["env"].items():
|
||||
args.extend(
|
||||
[
|
||||
"-e",
|
||||
f"{k}={v}",
|
||||
]
|
||||
)
|
||||
if capabilities.healthcheck_start_interval:
|
||||
args.extend(
|
||||
[
|
||||
"--health-interval",
|
||||
"5s",
|
||||
"--health-retries",
|
||||
"1",
|
||||
"--health-start-period",
|
||||
"10s",
|
||||
"--health-start-interval",
|
||||
"1s",
|
||||
]
|
||||
)
|
||||
else:
|
||||
args.extend(
|
||||
[
|
||||
"--health-interval",
|
||||
"5s",
|
||||
"--health-retries",
|
||||
"2",
|
||||
]
|
||||
)
|
||||
|
||||
_task = None
|
||||
|
||||
def on_stdout(line: str):
|
||||
nonlocal _task
|
||||
if "GET /ok" in line or "Uvicorn running on" in line:
|
||||
set("")
|
||||
sys.stdout.write(
|
||||
f"""Ready!
|
||||
- API: http://localhost:{port}
|
||||
"""
|
||||
)
|
||||
sys.stdout.flush()
|
||||
_task.cancel()
|
||||
return True
|
||||
return False
|
||||
|
||||
async def subp_exec_task(*args, **kwargs):
|
||||
nonlocal _task
|
||||
_task = asyncio.create_task(subp_exec(*args, **kwargs))
|
||||
await _task
|
||||
|
||||
try:
|
||||
runner.run(
|
||||
subp_exec_task(
|
||||
"docker",
|
||||
*args,
|
||||
tag,
|
||||
verbose=verbose,
|
||||
on_stdout=on_stdout,
|
||||
)
|
||||
)
|
||||
except asyncio.CancelledError:
|
||||
pass
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
import argparse
|
||||
|
||||
parser = argparse.ArgumentParser()
|
||||
parser.add_argument("-t", "--tag", type=str)
|
||||
parser.add_argument("-c", "--config", type=str, default="./langgraph.json")
|
||||
parser.add_argument("-p", "--port", default=DEFAULT_PORT)
|
||||
args = parser.parse_args()
|
||||
test(pathlib.Path(args.config), args.port, args.tag, verbose=True)
|
||||
@@ -39,22 +39,36 @@ jobs:
|
||||
- name: Install cli globally
|
||||
if: steps.changed-files.outputs.all
|
||||
run: pip install -e .
|
||||
- name: Start service A
|
||||
- name: Build and test service A
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples
|
||||
run: |
|
||||
timeout 60 langgraph test -c examples/langgraph.json --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
- name: Start service B
|
||||
# The build-arg isn't used; just testing that we accept other args
|
||||
langgraph build -t langgraph-test-a --base-image "langchain/langgraph-trial"
|
||||
cp .env.example .envg
|
||||
timeout 60 python ../../../.github/scripts/run_langgraph_cli_test.py -c langgraph.json -t langgraph-test-a
|
||||
- name: Build and test service B
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples/graphs
|
||||
run: |
|
||||
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
- name: Start service C
|
||||
langgraph build -t langgraph-test-b --base-image "langchain/langgraph-trial"
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-b
|
||||
- name: Build and test service C
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples/graphs_reqs_a
|
||||
run: |
|
||||
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
- name: Start service D
|
||||
langgraph build -t langgraph-test-c --base-image "langchain/langgraph-trial"
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-c
|
||||
- name: Build and test service D
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/examples/graphs_reqs_b
|
||||
run: |
|
||||
timeout 60 langgraph test --verbose || (exit "$(($? == 124 ? 0 : $?))")
|
||||
langgraph build -t langgraph-test-d --base-image "langchain/langgraph-trial"
|
||||
timeout 60 python ../../../../.github/scripts/run_langgraph_cli_test.py -t langgraph-test-d
|
||||
|
||||
- name: Build JS service
|
||||
if: steps.changed-files.outputs.all
|
||||
working-directory: libs/cli/js-examples
|
||||
run: |
|
||||
langgraph build -t langgraph-test-e
|
||||
|
||||
@@ -42,7 +42,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: lint-${{ inputs.working-directory }}
|
||||
|
||||
- name: Check Poetry File
|
||||
|
||||
@@ -21,6 +21,7 @@ jobs:
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
- "3.13"
|
||||
|
||||
name: "test #${{ matrix.python-version }}"
|
||||
steps:
|
||||
@@ -30,8 +31,13 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: test-${{ inputs.working-directory }}
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v3
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
|
||||
|
||||
- name: Install dependencies
|
||||
shell: bash
|
||||
|
||||
@@ -16,14 +16,22 @@ jobs:
|
||||
- "3.10"
|
||||
- "3.11"
|
||||
- "3.12"
|
||||
- "3.13"
|
||||
core-version:
|
||||
- ">=0.2.39,<0.3.0"
|
||||
- "latest"
|
||||
ff-send-v2:
|
||||
- "false"
|
||||
include:
|
||||
- python-version: "3.11"
|
||||
core-version: ">=0.2.42,<0.3.0"
|
||||
- python-version: "3.11"
|
||||
core-version: "latest"
|
||||
ff-send-v2: "true"
|
||||
|
||||
defaults:
|
||||
run:
|
||||
working-directory: libs/langgraph
|
||||
name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }})"
|
||||
name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }}, ff-send-v2: ${{ matrix.ff-send-v2 }})"
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
|
||||
@@ -32,6 +40,12 @@ jobs:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
cache-key: test-langgraph
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v3
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
|
||||
|
||||
- name: Install dependencies
|
||||
shell: bash
|
||||
@@ -43,8 +57,10 @@ jobs:
|
||||
|
||||
- name: Run tests
|
||||
shell: bash
|
||||
env:
|
||||
LANGGRAPH_FF_SEND_V2: ${{ matrix.ff-send-v2 }}
|
||||
run: |
|
||||
make test
|
||||
make test_parallel
|
||||
|
||||
- name: Ensure the tests did not create any additional files
|
||||
shell: bash
|
||||
|
||||
@@ -29,7 +29,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
# We want to keep this build stage *separate* from the release stage,
|
||||
@@ -93,3 +92,5 @@ jobs:
|
||||
# This is *only for CI use* and is *extremely dangerous* otherwise!
|
||||
# https://github.com/pypa/gh-action-pypi-publish#tolerating-release-package-file-duplicates
|
||||
skip-existing: true
|
||||
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
|
||||
attestations: false
|
||||
@@ -27,6 +27,12 @@ jobs:
|
||||
python-version: ${{ matrix.python-version }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
cache-key: test-scheduler-kafka
|
||||
- name: Login to Docker Hub
|
||||
uses: docker/login-action@v3
|
||||
if: ${{ !github.event.pull_request.head.repo.fork }}
|
||||
with:
|
||||
username: ${{ secrets.DOCKERHUB_USERNAME }}
|
||||
password: ${{ secrets.DOCKERHUB_RO_TOKEN }}
|
||||
|
||||
- name: Install dependencies
|
||||
shell: bash
|
||||
|
||||
@@ -31,6 +31,7 @@ jobs:
|
||||
"libs/cli",
|
||||
"libs/checkpoint",
|
||||
"libs/checkpoint-sqlite",
|
||||
"libs/checkpoint-duckdb",
|
||||
"libs/checkpoint-postgres",
|
||||
"libs/scheduler-kafka",
|
||||
]
|
||||
@@ -47,6 +48,7 @@ jobs:
|
||||
"libs/cli",
|
||||
"libs/checkpoint",
|
||||
"libs/checkpoint-sqlite",
|
||||
"libs/checkpoint-duckdb",
|
||||
"libs/checkpoint-postgres"
|
||||
]
|
||||
uses: ./.github/workflows/_test.yml
|
||||
|
||||
@@ -25,7 +25,7 @@ jobs:
|
||||
get-changed-files:
|
||||
runs-on: ubuntu-latest
|
||||
outputs:
|
||||
changed-files: ${{ steps.changed-files.outputs.all }}
|
||||
changed-files: ${{ steps.changed-files.outputs.added_modified }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
- name: Get changed files
|
||||
@@ -44,6 +44,8 @@ jobs:
|
||||
deploy:
|
||||
# needs: run-changed-notebooks
|
||||
runs-on: ubuntu-latest
|
||||
env:
|
||||
GITHUB_TOKEN: ${{ secrets.MKDOCS_GITHUB_TOKEN }}
|
||||
steps:
|
||||
- uses: actions/checkout@v4
|
||||
with:
|
||||
@@ -58,8 +60,14 @@ jobs:
|
||||
|
||||
- name: Install dependencies
|
||||
run: |
|
||||
poetry install --with docs
|
||||
poetry run pip install -U pytest pytest-check-links langsmith langchain GitPython
|
||||
poetry install --with test --no-root
|
||||
poetry run pip install -U \
|
||||
pytest \
|
||||
pytest-check-links \
|
||||
langsmith \
|
||||
langchain \
|
||||
GitPython \
|
||||
"git+https://${GITHUB_TOKEN}@github.com/langchain-ai/mkdocs-material-insiders.git"
|
||||
|
||||
- name: Lint Docs
|
||||
# This step lints the docs using the existing linting set up.
|
||||
@@ -80,8 +88,15 @@ jobs:
|
||||
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://x.com/.*" \
|
||||
--check-links-ignore "https://github\.com/.*" \
|
||||
--check-links-ignore "http://localhost:8123/.*" \
|
||||
--check-links-ignore "http://localhost:2024.*" \
|
||||
--check-links-ignore "http://127.0.0.1:.*" \
|
||||
--check-links-ignore "/.*\.(ipynb|html)$" \
|
||||
--check-links $(find docs/site -name "index.html" | grep -v 'storm/index.html')
|
||||
--check-links-ignore "https://python\.langchain\.com/.*" \
|
||||
--check-links-ignore "https://openai\.com/.*" \
|
||||
--check-links-ignore "https://pepy\.tech/.*" \
|
||||
--check-links $(find docs/site -name "index.html" | grep -v 'storm/index.html')
|
||||
|
||||
else
|
||||
echo "Fetching changes from origin/main..."
|
||||
git fetch origin main
|
||||
@@ -92,6 +107,9 @@ jobs:
|
||||
echo "Running link check on HTML files matching changed notebook files..."
|
||||
poetry run pytest -v \
|
||||
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
|
||||
--check-links-ignore "http://localhost:8123/.*" \
|
||||
--check-links-ignore "http://localhost:2024.*" \
|
||||
--check-links-ignore "http://127.0.0.1:.*" \
|
||||
--check-links-ignore "https://x.com/.*" \
|
||||
--check-links-ignore "https://github\.com/.*" \
|
||||
--check-links-ignore "/.*\.(ipynb|html)$" \
|
||||
|
||||
@@ -31,7 +31,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
# We want to keep this build stage *separate* from the release stage,
|
||||
@@ -169,7 +168,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
|
||||
- name: Import published package
|
||||
shell: bash
|
||||
@@ -256,7 +254,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
@@ -270,6 +267,8 @@ jobs:
|
||||
packages-dir: ${{ inputs.working-directory }}/dist/
|
||||
verbose: true
|
||||
print-hash: true
|
||||
# Temp workaround since attestations are on by default as of gh-action-pypi-publish v1.11.0
|
||||
attestations: false
|
||||
|
||||
mark-release:
|
||||
needs:
|
||||
@@ -296,7 +295,6 @@ jobs:
|
||||
with:
|
||||
python-version: ${{ env.PYTHON_VERSION }}
|
||||
poetry-version: ${{ env.POETRY_VERSION }}
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
cache-key: release
|
||||
|
||||
- uses: actions/download-artifact@v4
|
||||
|
||||
+1
-1
@@ -49,7 +49,7 @@ gain understanding of concepts and how they interact by showing one way to achie
|
||||
|
||||
They should **avoid** giving
|
||||
multiple permutations of ways to achieve that goal in-depth. Choice is burdensome. Instead, they should guide a new user through a recommended path to accomplishing a concrete goal. While the end result of a tutorial does not necessarily need to
|
||||
be completely production-ready, it should be useful and practically satisfy the the goal that you clearly stated in the tutorial's introduction.
|
||||
be completely production-ready, it should be useful and practically satisfy the goal that you clearly stated in the tutorial's introduction.
|
||||
|
||||
To quote the Diataxis website:
|
||||
|
||||
|
||||
@@ -13,7 +13,7 @@ serve-clean-docs: clean-docs
|
||||
poetry run python -m mkdocs serve -c -f docs/mkdocs.yml --strict -w ./libs/langgraph
|
||||
|
||||
serve-docs: build-typedoc
|
||||
poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./libs/langgraph --dirty
|
||||
poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./libs/langgraph -w ./libs/checkpoint -w ./libs/sdk-py --dirty
|
||||
|
||||
clean-docs:
|
||||
find ./docs/docs -name "*.ipynb" -type f -delete
|
||||
@@ -26,6 +26,7 @@ format-docs:
|
||||
|
||||
# Check the docs for linting violations
|
||||
lint-docs:
|
||||
poetry run ruff format --check docs/docs
|
||||
poetry run ruff check docs/docs
|
||||
|
||||
codespell:
|
||||
|
||||
@@ -8,7 +8,7 @@
|
||||
⚡ Building language agents as graphs ⚡
|
||||
|
||||
> [!NOTE]
|
||||
> Looking for the JS version? Click [here](https://github.com/langchain-ai/langgraphjs) ([JS docs](https://langchain-ai.github.io/langgraphjs/)).
|
||||
> Looking for the JS version? See the [JS repo](https://github.com/langchain-ai/langgraphjs) and the [JS docs](https://langchain-ai.github.io/langgraphjs/).
|
||||
|
||||
## Overview
|
||||
|
||||
@@ -16,6 +16,8 @@
|
||||
|
||||
LangGraph is inspired by [Pregel](https://research.google/pubs/pub37252/) and [Apache Beam](https://beam.apache.org/). The public interface draws inspiration from [NetworkX](https://networkx.org/documentation/latest/). LangGraph is built by LangChain Inc, the creators of LangChain, but can be used without LangChain.
|
||||
|
||||
[LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/langgraph_platform) is infrastructure for deploying LangGraph agents. It is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework. The LangGraph Platform consists of several components that work together to support the development, deployment, debugging, and monitoring of LangGraph applications: [LangGraph Server](https://langchain-ai.github.io/langgraph/concepts/langgraph_server) (APIs), [LangGraph SDKs](https://langchain-ai.github.io/langgraph/concepts/sdk) (clients for the APIs), [LangGraph CLI](https://langchain-ai.github.io/langgraph/concepts/langgraph_cli) (command line tool for building the server), [LangGraph Studio](https://langchain-ai.github.io/langgraph/concepts/langgraph_studio) (UI/debugger),
|
||||
|
||||
To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available for free [here](https://academy.langchain.com/courses/intro-to-langgraph).
|
||||
|
||||
### Key Features
|
||||
@@ -26,6 +28,16 @@ To learn more about LangGraph, check out our first LangChain Academy course, *In
|
||||
- **Streaming Support**: Stream outputs as they are produced by each node (including token streaming).
|
||||
- **Integration with LangChain**: LangGraph integrates seamlessly with [LangChain](https://github.com/langchain-ai/langchain/) and [LangSmith](https://docs.smith.langchain.com/) (but does not require them).
|
||||
|
||||
### LangGraph Platform
|
||||
|
||||
LangGraph Platform is a commercial solution for deploying agentic applications to production, built on the open-source LangGraph framework.
|
||||
Here are some common issues that arise in complex deployments, which LangGraph Platform addresses:
|
||||
|
||||
- **Streaming support**: LangGraph Server provides [multiple streaming modes](https://langchain-ai.github.io/langgraph/concepts/streaming) optimized for various application needs
|
||||
- **Background runs**: Runs agents asynchronously in the background
|
||||
- **Support for long running agents**: Infrastructure that can handle long running processes
|
||||
- **[Double texting](https://langchain-ai.github.io/langgraph/concepts/double_texting)**: Handle the case where you get two messages from the user before the agent can respond
|
||||
- **Handle burstiness**: Task queue for ensuring requests are handled consistently without loss, even under heavy loads
|
||||
|
||||
## Installation
|
||||
|
||||
@@ -226,7 +238,7 @@ final_state["messages"][-1].content
|
||||
* [How-to Guides](https://langchain-ai.github.io/langgraph/how-tos/): Accomplish specific things within LangGraph, from streaming, to adding memory & persistence, to common design patterns (branching, subgraphs, etc.), these are the place to go if you want to copy and run a specific code snippet.
|
||||
* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/high_level/): In-depth explanations of the key concepts and principles behind LangGraph, such as nodes, edges, state and more.
|
||||
* [API Reference](https://langchain-ai.github.io/langgraph/reference/graphs/): Review important classes and methods, simple examples of how to use the graph and checkpointing APIs, higher-level prebuilt components and more.
|
||||
* [Cloud (beta)](https://langchain-ai.github.io/langgraph/cloud/): With one click, deploy LangGraph applications to LangGraph Cloud.
|
||||
* [LangGraph Platform](https://langchain-ai.github.io/langgraph/concepts/#langgraph-platform): LangGraph Platform is a commercial solution for deploying agentic applications in production, built on the open-source LangGraph framework.
|
||||
|
||||
## Contributing
|
||||
|
||||
|
||||
@@ -0,0 +1,93 @@
|
||||
import functools
|
||||
|
||||
from urllib3 import __version__ as urllib3version # type: ignore[import-untyped]
|
||||
from urllib3 import connection # type: ignore[import-untyped]
|
||||
|
||||
|
||||
def _ensure_str(s, encoding="utf-8", errors="strict") -> str:
|
||||
if isinstance(s, str):
|
||||
return s
|
||||
|
||||
if isinstance(s, bytes):
|
||||
return s.decode(encoding, errors)
|
||||
return str(s)
|
||||
|
||||
|
||||
# Copied from https://github.com/urllib3/urllib3/blob/1c994dfc8c5d5ecaee8ed3eb585d4785f5febf6e/src/urllib3/connection.py#L231
|
||||
def request(self, method, url, body=None, headers=None):
|
||||
"""Make the request.
|
||||
|
||||
This function is based on the urllib3 request method, with modifications
|
||||
to handle potential issues when using vcrpy in concurrent workloads.
|
||||
|
||||
Args:
|
||||
self: The HTTPConnection instance.
|
||||
method (str): The HTTP method (e.g., 'GET', 'POST').
|
||||
url (str): The URL for the request.
|
||||
body (Optional[Any]): The body of the request.
|
||||
headers (Optional[dict]): Headers to send with the request.
|
||||
|
||||
Returns:
|
||||
The result of calling the parent request method.
|
||||
"""
|
||||
# Update the inner socket's timeout value to send the request.
|
||||
# This only triggers if the connection is re-used.
|
||||
if getattr(self, "sock", None) is not None:
|
||||
self.sock.settimeout(self.timeout)
|
||||
|
||||
if headers is None:
|
||||
headers = {}
|
||||
else:
|
||||
# Avoid modifying the headers passed into .request()
|
||||
headers = headers.copy()
|
||||
if "user-agent" not in (_ensure_str(k.lower()) for k in headers):
|
||||
headers["User-Agent"] = connection._get_default_user_agent()
|
||||
# The above is all the same ^^^
|
||||
# The following is different:
|
||||
return self._parent_request(method, url, body=body, headers=headers)
|
||||
|
||||
|
||||
_PATCHED = False
|
||||
|
||||
|
||||
def patch_urllib3():
|
||||
"""Patch the request method of urllib3 to avoid type errors when using vcrpy.
|
||||
|
||||
In concurrent workloads (such as the tracing background queue), the
|
||||
connection pool can get in a state where an HTTPConnection is created
|
||||
before vcrpy patches the HTTPConnection class. In urllib3 >= 2.0 this isn't
|
||||
a problem since they use the proper super().request(...) syntax, but in older
|
||||
versions, super(HTTPConnection, self).request is used, resulting in a TypeError
|
||||
since self is no longer a subclass of "HTTPConnection" (which at this point
|
||||
is vcr.stubs.VCRConnection).
|
||||
|
||||
This method patches the class to fix the super() syntax to avoid mixed inheritance.
|
||||
In the case of the LangSmith tracing logic, it doesn't really matter since we always
|
||||
exclude cache checks for calls to LangSmith.
|
||||
|
||||
The patch is only applied for urllib3 versions older than 2.0.
|
||||
"""
|
||||
global _PATCHED
|
||||
if _PATCHED:
|
||||
return
|
||||
from packaging import version
|
||||
|
||||
if version.parse(urllib3version) >= version.parse("2.0"):
|
||||
_PATCHED = True
|
||||
return
|
||||
|
||||
# Lookup the parent class and its request method
|
||||
parent_class = connection.HTTPConnection.__bases__[0]
|
||||
parent_request = parent_class.request
|
||||
|
||||
def new_request(self, *args, **kwargs):
|
||||
"""Handle parent request.
|
||||
|
||||
This method binds the parent's request method to self and then
|
||||
calls our modified request function.
|
||||
"""
|
||||
self._parent_request = functools.partial(parent_request, self)
|
||||
return request(self, *args, **kwargs)
|
||||
|
||||
connection.HTTPConnection.request = new_request
|
||||
_PATCHED = True
|
||||
@@ -24,7 +24,7 @@ export -f execute_notebook
|
||||
|
||||
# Check if custom notebook paths are provided
|
||||
if [ $# -gt 0 ]; then
|
||||
notebooks="$@"
|
||||
notebooks=$(echo "$@" | tr ' ' '\n' | grep -vFf <(echo "$SKIP_NOTEBOOKS"))
|
||||
else
|
||||
# Find all notebooks and filter out those in the skip list
|
||||
notebooks=$(find docs/docs/tutorials docs/docs/how-tos -name "*.ipynb" | grep -v ".ipynb_checkpoints" | grep -vFf <(echo "$SKIP_NOTEBOOKS"))
|
||||
|
||||
@@ -0,0 +1,290 @@
|
||||
import importlib
|
||||
import inspect
|
||||
import logging
|
||||
import os
|
||||
import re
|
||||
from typing import List, Literal, Optional
|
||||
from typing_extensions import TypedDict
|
||||
|
||||
|
||||
from functools import lru_cache
|
||||
|
||||
import nbformat
|
||||
from nbconvert.preprocessors import Preprocessor
|
||||
|
||||
|
||||
logging.basicConfig(level=logging.INFO)
|
||||
logger = logging.getLogger(__name__)
|
||||
# Base URL for all class documentation
|
||||
_LANGCHAIN_API_REFERENCE = "https://python.langchain.com/api_reference/"
|
||||
_LANGGRAPH_API_REFERENCE = "https://langchain-ai.github.io/langgraph/reference/"
|
||||
|
||||
|
||||
# (alias/re-exported modules, source module, class, docs namespace)
|
||||
MANUAL_API_REFERENCES_LANGGRAPH = [
|
||||
(
|
||||
["langgraph.prebuilt"],
|
||||
"langgraph.prebuilt.chat_agent_executor",
|
||||
"create_react_agent",
|
||||
"prebuilt",
|
||||
),
|
||||
(["langgraph.prebuilt"], "langgraph.prebuilt.tool_node", "ToolNode", "prebuilt"),
|
||||
(
|
||||
["langgraph.prebuilt"],
|
||||
"langgraph.prebuilt.tool_node",
|
||||
"tools_condition",
|
||||
"prebuilt",
|
||||
),
|
||||
(
|
||||
["langgraph.prebuilt"],
|
||||
"langgraph.prebuilt.tool_node",
|
||||
"InjectedState",
|
||||
"prebuilt",
|
||||
),
|
||||
# Graph
|
||||
(["langgraph.graph"], "langgraph.graph.message", "add_messages", "graphs"),
|
||||
(["langgraph.graph"], "langgraph.graph.state", "StateGraph", "graphs"),
|
||||
(["langgraph.graph"], "langgraph.graph.state", "CompiledStateGraph", "graphs"),
|
||||
([], "langgraph.types", "StreamMode", "types"),
|
||||
(["langgraph.graph"], "langgraph.constants", "START", "constants"),
|
||||
(["langgraph.graph"], "langgraph.constants", "END", "constants"),
|
||||
(["langgraph.constants"], "langgraph.types", "Send", "types"),
|
||||
(["langgraph.constants"], "langgraph.types", "Interrupt", "types"),
|
||||
(["langgraph.constants"], "langgraph.types", "interrupt", "types"),
|
||||
(["langgraph.constants"], "langgraph.types", "Command", "types"),
|
||||
([], "langgraph.types", "RetryPolicy", "types"),
|
||||
([], "langgraph.checkpoint.base", "Checkpoint", "checkpoints"),
|
||||
([], "langgraph.checkpoint.base", "CheckpointMetadata", "checkpoints"),
|
||||
([], "langgraph.checkpoint.base", "BaseCheckpointSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.base", "SerializerProtocol", "checkpoints"),
|
||||
([], "langgraph.checkpoint.serde.jsonplus", "JsonPlusSerializer", "checkpoints"),
|
||||
([], "langgraph.checkpoint.memory", "MemorySaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.sqlite.aio", "AsyncSqliteSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.sqlite", "SqliteSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.postgres.aio", "AsyncPostgresSaver", "checkpoints"),
|
||||
([], "langgraph.checkpoint.postgres", "PostgresSaver", "checkpoints"),
|
||||
]
|
||||
|
||||
WELL_KNOWN_LANGGRAPH_OBJECTS = {
|
||||
(module_, class_): (source_module, namespace)
|
||||
for (modules, source_module, class_, namespace) in MANUAL_API_REFERENCES_LANGGRAPH
|
||||
for module_ in modules + [source_module]
|
||||
}
|
||||
|
||||
|
||||
def _make_regular_expression(pkg_prefix: str) -> re.Pattern:
|
||||
if not pkg_prefix.isidentifier():
|
||||
raise ValueError(f"Invalid package prefix: {pkg_prefix}")
|
||||
return re.compile(
|
||||
r"from\s+(" + pkg_prefix + "(?:_\w+)?(?:\.\w+)*?)\s+import\s+"
|
||||
r"((?:\w+(?:,\s*)?)*" # Match zero or more words separated by a comma+optional ws
|
||||
r"(?:\s*\(.*?\))?)", # Match optional parentheses block
|
||||
re.DOTALL, # Match newlines as well
|
||||
)
|
||||
|
||||
|
||||
# Regular expression to match langchain import lines
|
||||
_IMPORT_LANGCHAIN_RE = _make_regular_expression("langchain")
|
||||
_IMPORT_LANGGRAPH_RE = _make_regular_expression("langgraph")
|
||||
|
||||
|
||||
|
||||
|
||||
@lru_cache(maxsize=10_000)
|
||||
def _get_full_module_name(module_path: str, class_name: str) -> Optional[str]:
|
||||
"""Get full module name using inspect, with LRU cache to memoize results."""
|
||||
try:
|
||||
module = importlib.import_module(module_path)
|
||||
class_ = getattr(module, class_name)
|
||||
module = inspect.getmodule(class_)
|
||||
if module is None:
|
||||
# For constants, inspect.getmodule() might return None
|
||||
# In this case, we'll return the original module_path
|
||||
return module_path
|
||||
return module.__name__
|
||||
except AttributeError as e:
|
||||
logger.warning(f"API Reference: Could not find module for {class_name}, {e}")
|
||||
return None
|
||||
except ImportError as e:
|
||||
logger.warning(f"API Reference: Failed to load for class {class_name}, {e}")
|
||||
return None
|
||||
|
||||
def _get_doc_title(data: str, file_name: str) -> str:
|
||||
try:
|
||||
return re.findall(r"^#\s*(.*)", data, re.MULTILINE)[0]
|
||||
except IndexError:
|
||||
pass
|
||||
# Parse the rst-style titles
|
||||
try:
|
||||
return re.findall(r"^(.*)\n=+\n", data, re.MULTILINE)[0]
|
||||
except IndexError:
|
||||
return file_name
|
||||
|
||||
|
||||
class ImportInformation(TypedDict):
|
||||
imported: str # The name of the class that was imported.
|
||||
source: str # The full module path from which the class was imported.
|
||||
docs: str # The URL pointing to the class's documentation.
|
||||
title: str # The title of the document where the import is used.
|
||||
|
||||
|
||||
def _get_imports(
|
||||
code: str, doc_title: str, package_ecosystem: Literal["langchain", "langgraph"]
|
||||
) -> List[ImportInformation]:
|
||||
"""Get imports from the given code block.
|
||||
|
||||
Args:
|
||||
code: Python code block from which to extract imports
|
||||
doc_title: Title of the document
|
||||
package_ecosystem: "langchain" or "langgraph". The two live in different
|
||||
repositories and have separate documentation sites.
|
||||
|
||||
Returns:
|
||||
List of import information for the given code block
|
||||
"""
|
||||
imports = []
|
||||
|
||||
if package_ecosystem == "langchain":
|
||||
pattern = _IMPORT_LANGCHAIN_RE
|
||||
elif package_ecosystem == "langgraph":
|
||||
pattern = _IMPORT_LANGGRAPH_RE
|
||||
else:
|
||||
raise ValueError(f"Invalid package ecosystem: {package_ecosystem}")
|
||||
|
||||
for import_match in pattern.finditer(code):
|
||||
module = import_match.group(1)
|
||||
if "pydantic_v1" in module:
|
||||
continue
|
||||
imports_str = (
|
||||
import_match.group(2).replace("(\n", "").replace("\n)", "")
|
||||
) # Handle newlines within parentheses
|
||||
# remove any newline and spaces, then split by comma
|
||||
imported_classes = [
|
||||
imp.strip()
|
||||
for imp in re.split(r",\s*", imports_str.replace("\n", ""))
|
||||
if imp.strip()
|
||||
]
|
||||
for class_name in imported_classes:
|
||||
module_path = _get_full_module_name(module, class_name)
|
||||
if not module_path:
|
||||
continue
|
||||
if len(module_path.split(".")) < 2:
|
||||
continue
|
||||
|
||||
if package_ecosystem == "langchain":
|
||||
pkg = module_path.split(".")[0].replace("langchain_", "")
|
||||
top_level_mod = module_path.split(".")[1]
|
||||
|
||||
url = (
|
||||
_LANGCHAIN_API_REFERENCE
|
||||
+ pkg
|
||||
+ "/"
|
||||
+ top_level_mod
|
||||
+ "/"
|
||||
+ module_path
|
||||
+ "."
|
||||
+ class_name
|
||||
+ ".html"
|
||||
)
|
||||
elif package_ecosystem == "langgraph":
|
||||
if (module, class_name) not in WELL_KNOWN_LANGGRAPH_OBJECTS:
|
||||
# Likely not documented yet
|
||||
continue
|
||||
|
||||
source_module, namespace = WELL_KNOWN_LANGGRAPH_OBJECTS[
|
||||
(module, class_name)
|
||||
]
|
||||
url = (
|
||||
_LANGGRAPH_API_REFERENCE
|
||||
+ namespace
|
||||
+ "/#"
|
||||
+ source_module
|
||||
+ "."
|
||||
+ class_name
|
||||
)
|
||||
else:
|
||||
raise ValueError(f"Invalid package ecosystem: {package_ecosystem}")
|
||||
|
||||
# Add the import information to our list
|
||||
imports.append(
|
||||
{
|
||||
"imported": class_name,
|
||||
"source": module,
|
||||
"docs": url,
|
||||
"title": doc_title,
|
||||
}
|
||||
)
|
||||
|
||||
return imports
|
||||
|
||||
|
||||
def get_imports(code: str, doc_title: str) -> List[ImportInformation]:
|
||||
"""Retrieve all import references from the given code for specified ecosystems.
|
||||
|
||||
Args:
|
||||
code: The source code from which to extract import references.
|
||||
doc_title: The documentation title associated with the code.
|
||||
|
||||
Returns:
|
||||
A list of import information for each import found.
|
||||
"""
|
||||
ecosystems = ["langchain", "langgraph"]
|
||||
all_imports = []
|
||||
for package_ecosystem in ecosystems:
|
||||
all_imports.extend(_get_imports(code, doc_title, package_ecosystem))
|
||||
return all_imports
|
||||
|
||||
|
||||
def update_markdown_with_imports(markdown: str) -> str:
|
||||
"""Update markdown to include API reference links for imports in Python code blocks.
|
||||
|
||||
This function scans the markdown content for Python code blocks, extracts any imports, and appends links to their API documentation.
|
||||
|
||||
Args:
|
||||
markdown: The markdown content to process.
|
||||
|
||||
Returns:
|
||||
Updated markdown with API reference links appended to Python code blocks.
|
||||
|
||||
Example:
|
||||
Given a markdown with a Python code block:
|
||||
|
||||
```python
|
||||
from langchain.nlp import TextGenerator
|
||||
```
|
||||
This function will append an API reference link to the `TextGenerator` class from the `langchain.nlp` module if it's recognized.
|
||||
"""
|
||||
code_block_pattern = re.compile(
|
||||
r'(?P<indent>[ \t]*)```(?P<language>python|py)\n(?P<code>.*?)\n(?P=indent)```', re.DOTALL
|
||||
)
|
||||
|
||||
def replace_code_block(match: re.Match) -> str:
|
||||
"""Replace the matched code block with additional API reference links if imports are found.
|
||||
|
||||
Args:
|
||||
match (re.Match): The regex match object containing the code block.
|
||||
|
||||
Returns:
|
||||
str: The modified code block with API reference links appended if applicable.
|
||||
"""
|
||||
indent = match.group('indent')
|
||||
code_block = match.group('code')
|
||||
language = match.group('language') # Preserve the language from the regex match
|
||||
# Retrieve import information from the code block
|
||||
imports = get_imports(code_block, "__unused__")
|
||||
|
||||
original_code_block = match.group(0)
|
||||
# If no imports are found, return the original code block
|
||||
if not imports:
|
||||
return original_code_block
|
||||
|
||||
# Generate API reference links for each import
|
||||
api_links = ' | '.join(
|
||||
f'<a href="{imp["docs"]}">{imp["imported"]}</a>' for imp in imports
|
||||
)
|
||||
# Return the code block with appended API reference links
|
||||
return f'{original_code_block}\n\n{indent}API Reference: {api_links}'
|
||||
|
||||
# Apply the replace_code_block function to all matches in the markdown
|
||||
updated_markdown = code_block_pattern.sub(replace_code_block, markdown)
|
||||
return updated_markdown
|
||||
@@ -0,0 +1,123 @@
|
||||
import os
|
||||
import re
|
||||
from pathlib import Path
|
||||
|
||||
import nbformat
|
||||
from nbconvert.exporters import MarkdownExporter
|
||||
from nbconvert.preprocessors import Preprocessor
|
||||
|
||||
|
||||
class EscapePreprocessor(Preprocessor):
|
||||
def preprocess_cell(self, cell, resources, cell_index):
|
||||
if cell.cell_type == "markdown":
|
||||
# rewrite markdown links to html links (excluding image links)
|
||||
cell.source = re.sub(
|
||||
r"(?<!!)\[([^\]]*)\]\((?![^\)]*//)([^)]*)(?:\.ipynb)?\)",
|
||||
r'<a href="\2">\1</a>',
|
||||
cell.source,
|
||||
)
|
||||
# Fix image paths in <img> tags
|
||||
cell.source = re.sub(
|
||||
r'<img\s+src="\.?/img/([^"]+)"', r'<img src="../img/\1"', cell.source
|
||||
)
|
||||
|
||||
elif cell.cell_type == "code":
|
||||
# escape ``` in code
|
||||
cell.source = cell.source.replace("```", r"\`\`\`")
|
||||
# escape ``` in output
|
||||
if "outputs" in cell:
|
||||
filter_out = set()
|
||||
for i, output in enumerate(cell["outputs"]):
|
||||
if "text" in output:
|
||||
if not output["text"].strip():
|
||||
filter_out.add(i)
|
||||
continue
|
||||
|
||||
value = output["text"].replace("```", r"\`\`\`")
|
||||
# handle a funky case w/ references in text
|
||||
value = re.sub(r"\[(\d+)\](?=\[(\d+)\])", r"[\1]\\", value)
|
||||
output["text"] = value
|
||||
elif "data" in output:
|
||||
for key, value in output["data"].items():
|
||||
if isinstance(value, str):
|
||||
value = value.replace("```", r"\`\`\`")
|
||||
# handle a funky case w/ references in text
|
||||
output["data"][key] = re.sub(
|
||||
r"\[(\d+)\](?=\[(\d+)\])", r"[\1]\\", value
|
||||
)
|
||||
cell["outputs"] = [
|
||||
output
|
||||
for i, output in enumerate(cell["outputs"])
|
||||
if i not in filter_out
|
||||
]
|
||||
|
||||
return cell, resources
|
||||
|
||||
|
||||
class ExtractAttachmentsPreprocessor(Preprocessor):
|
||||
"""
|
||||
Extracts all of the outputs from the notebook file. The extracted
|
||||
outputs are returned in the 'resources' dictionary.
|
||||
"""
|
||||
|
||||
def preprocess_cell(self, cell, resources, cell_index):
|
||||
"""
|
||||
Apply a transformation on each cell,
|
||||
Parameters
|
||||
----------
|
||||
cell : NotebookNode cell
|
||||
Notebook cell being processed
|
||||
resources : dictionary
|
||||
Additional resources used in the conversion process. Allows
|
||||
preprocessors to pass variables into the Jinja engine.
|
||||
cell_index : int
|
||||
Index of the cell being processed (see base.py)
|
||||
"""
|
||||
|
||||
# Get files directory if it has been specified
|
||||
|
||||
# Make sure outputs key exists
|
||||
if not isinstance(resources["outputs"], dict):
|
||||
resources["outputs"] = {}
|
||||
|
||||
# Loop through all of the attachments in the cell
|
||||
for name, attach in cell.get("attachments", {}).items():
|
||||
for mime, data in attach.items():
|
||||
if mime not in {
|
||||
"image/png",
|
||||
"image/jpeg",
|
||||
"image/svg+xml",
|
||||
"application/pdf",
|
||||
}:
|
||||
continue
|
||||
|
||||
# attachments are pre-rendered. Only replace markdown-formatted
|
||||
# images with the following logic
|
||||
attach_str = f"({name})"
|
||||
if attach_str in cell.source:
|
||||
data = f"(data:{mime};base64,{data})"
|
||||
cell.source = cell.source.replace(attach_str, data)
|
||||
|
||||
return cell, resources
|
||||
|
||||
|
||||
exporter = MarkdownExporter(
|
||||
preprocessors=[
|
||||
EscapePreprocessor,
|
||||
ExtractAttachmentsPreprocessor,
|
||||
],
|
||||
template_name="mdoutput",
|
||||
extra_template_basedirs=[
|
||||
os.path.join(os.path.dirname(__file__), "notebook_convert_templates")
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
def convert_notebook(
|
||||
notebook_path: Path,
|
||||
) -> Path:
|
||||
with open(notebook_path) as f:
|
||||
nb = nbformat.read(f, as_version=4)
|
||||
|
||||
body, _ = exporter.from_notebook_node(nb)
|
||||
return body
|
||||
@@ -0,0 +1,5 @@
|
||||
{
|
||||
"mimetypes": {
|
||||
"text/markdown": true
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,33 @@
|
||||
{% extends 'markdown/index.md.j2' %}
|
||||
|
||||
{%- block traceback_line -%}
|
||||
```output
|
||||
{{ line.rstrip() | strip_ansi }}
|
||||
```
|
||||
{%- endblock traceback_line -%}
|
||||
|
||||
{%- block stream -%}
|
||||
```output
|
||||
{{ output.text.rstrip() }}
|
||||
```
|
||||
{%- endblock stream -%}
|
||||
|
||||
{%- block data_text scoped -%}
|
||||
```output
|
||||
{{ output.data['text/plain'].rstrip() }}
|
||||
```
|
||||
{%- endblock data_text -%}
|
||||
|
||||
{%- block data_html scoped -%}
|
||||
```html
|
||||
{{ output.data['text/html'] | safe }}
|
||||
```
|
||||
{%- endblock data_html -%}
|
||||
|
||||
{%- block data_jpg scoped -%}
|
||||

|
||||
{%- endblock data_jpg -%}
|
||||
|
||||
{%- block data_png scoped -%}
|
||||

|
||||
{%- endblock data_png -%}
|
||||
@@ -0,0 +1,120 @@
|
||||
import logging
|
||||
import os
|
||||
import re
|
||||
from typing import Any, Dict
|
||||
|
||||
from mkdocs.structure.files import Files, File
|
||||
from mkdocs.structure.pages import Page
|
||||
|
||||
from notebook_convert import convert_notebook
|
||||
from generate_api_reference_links import update_markdown_with_imports
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
logging.basicConfig()
|
||||
logger.setLevel(logging.INFO)
|
||||
DISABLED = os.getenv("DISABLE_NOTEBOOK_CONVERT") in ("1", "true", "True")
|
||||
|
||||
|
||||
class NotebookFile(File):
|
||||
def is_documentation_page(self):
|
||||
return True
|
||||
|
||||
|
||||
def on_files(files: Files, **kwargs: Dict[str, Any]):
|
||||
if DISABLED:
|
||||
return files
|
||||
new_files = Files([])
|
||||
for file in files:
|
||||
if file.src_path.endswith(".ipynb"):
|
||||
new_file = NotebookFile(
|
||||
path=file.src_path,
|
||||
src_dir=file.src_dir,
|
||||
dest_dir=file.dest_dir,
|
||||
use_directory_urls=file.use_directory_urls,
|
||||
)
|
||||
new_files.append(new_file)
|
||||
else:
|
||||
new_files.append(file)
|
||||
return new_files
|
||||
|
||||
|
||||
def _highlight_code_blocks(markdown: str) -> str:
|
||||
"""Find code blocks with highlight comments and add hl_lines attribute.
|
||||
|
||||
Args:
|
||||
markdown: The markdown content to process.
|
||||
|
||||
Returns:
|
||||
updated Markdown code with code blocks containing highlight comments
|
||||
updated to use the hl_lines attribute.
|
||||
"""
|
||||
# Pattern to find code blocks with highlight comments and without
|
||||
# existing hl_lines for Python and JavaScript
|
||||
# Pattern to find code blocks with highlight comments, handling optional indentation
|
||||
code_block_pattern = re.compile(
|
||||
r"(?P<indent>[ \t]*)```(?P<language>py|python|js|javascript)(?!\s+hl_lines=)\n"
|
||||
r"(?P<code>((?:.*\n)*?))" # Capture the code inside the block using named group
|
||||
r"(?P=indent)```" # Match closing backticks with the same indentation
|
||||
)
|
||||
|
||||
def replace_highlight_comments(match: re.Match) -> str:
|
||||
indent = match.group("indent")
|
||||
language = match.group("language")
|
||||
code_block = match.group("code")
|
||||
lines = code_block.split("\n")
|
||||
highlighted_lines = []
|
||||
|
||||
# Skip initial empty lines
|
||||
while lines and not lines[0].strip():
|
||||
lines.pop(0)
|
||||
|
||||
lines_to_keep = []
|
||||
|
||||
comment_syntax = (
|
||||
"# highlight-next-line"
|
||||
if language in ["py", "python"]
|
||||
else "// highlight-next-line"
|
||||
)
|
||||
|
||||
for line in lines:
|
||||
if comment_syntax in line:
|
||||
count = len(lines_to_keep) + 1
|
||||
highlighted_lines.append(str(count))
|
||||
else:
|
||||
lines_to_keep.append(line)
|
||||
|
||||
# Reconstruct the new code block
|
||||
new_code_block = "\n".join(lines_to_keep)
|
||||
|
||||
if highlighted_lines:
|
||||
return (
|
||||
f'{indent}```{language} hl_lines="{" ".join(highlighted_lines)}"\n'
|
||||
# The indent and terminating \n is already included in the code block
|
||||
f'{new_code_block}'
|
||||
f'{indent}```'
|
||||
)
|
||||
else:
|
||||
return (
|
||||
f"{indent}```{language}\n"
|
||||
# The indent and terminating \n is already included in the code block
|
||||
f"{new_code_block}"
|
||||
f"{indent}```"
|
||||
)
|
||||
|
||||
# Replace all code blocks in the markdown
|
||||
markdown = code_block_pattern.sub(replace_highlight_comments, markdown)
|
||||
return markdown
|
||||
|
||||
|
||||
def on_page_markdown(markdown: str, page: Page, **kwargs: Dict[str, Any]):
|
||||
if DISABLED:
|
||||
return markdown
|
||||
if page.file.src_path.endswith(".ipynb"):
|
||||
logger.info("Processing Jupyter notebook: %s", page.file.src_path)
|
||||
markdown = convert_notebook(page.file.abs_src_path)
|
||||
|
||||
# Append API reference links to code blocks
|
||||
markdown = update_markdown_with_imports(markdown)
|
||||
# Apply highlight comments to code blocks
|
||||
markdown = _highlight_code_blocks(markdown)
|
||||
return markdown
|
||||
@@ -36,14 +36,16 @@ NOTEBOOKS_NO_EXECUTION = [
|
||||
"docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb",
|
||||
# this loads a massive dataset from gcp
|
||||
"docs/docs/tutorials/usaco/usaco.ipynb",
|
||||
# TODO: figure out why autogen notebook is not runnable (they are just hanging. possible due to code execution?)
|
||||
"docs/docs/how-tos/autogen-integration.ipynb",
|
||||
# TODO: need to update these notebooks to make sure they are runnable in CI
|
||||
"docs/docs/tutorials/storm/storm.ipynb", # issues only when running with VCR
|
||||
"docs/docs/tutorials/lats/lats.ipynb", # issues only when running with VCR
|
||||
"docs/docs/tutorials/multi_agent/hierarchical_agent_teams.ipynb", # taking a very long time to run
|
||||
"docs/docs/tutorials/customer-support/customer-support.ipynb", # user input - update
|
||||
"docs/docs/tutorials/rag/langgraph_crag.ipynb", # flakiness from tavily
|
||||
"docs/docs/tutorials/rag/langgraph_adaptive_rag.ipynb", # Cannot create a consistent method resolution error from VCR
|
||||
"docs/docs/how-tos/map-reduce.ipynb" # flakiness from structured output, only when running with VCR
|
||||
"docs/docs/how-tos/map-reduce.ipynb", # flakiness from structured output, only when running with VCR
|
||||
"docs/docs/tutorials/tot/tot.ipynb",
|
||||
"docs/docs/how-tos/visualization.ipynb"
|
||||
]
|
||||
|
||||
|
||||
@@ -70,10 +72,13 @@ def is_comment(code: str) -> bool:
|
||||
return code.strip().startswith("#")
|
||||
|
||||
|
||||
def has_blocklisted_command(code: str) -> bool:
|
||||
def has_blocklisted_command(code: str, metadata: dict) -> bool:
|
||||
if 'hide_from_vcr' in metadata:
|
||||
return True
|
||||
|
||||
code = code.strip()
|
||||
for blocklisted_command in BLOCKLIST_COMMANDS:
|
||||
if blocklisted_command in code:
|
||||
for blocklisted_pattern in BLOCKLIST_COMMANDS:
|
||||
if blocklisted_pattern in code:
|
||||
return True
|
||||
return False
|
||||
|
||||
@@ -83,6 +88,7 @@ def add_vcr_to_notebook(
|
||||
) -> nbformat.NotebookNode:
|
||||
"""Inject `with vcr.cassette` into each code cell of the notebook."""
|
||||
|
||||
uses_langsmith = False
|
||||
# Inject VCR context manager into each code cell
|
||||
for idx, cell in enumerate(notebook.cells):
|
||||
if cell.cell_type != "code":
|
||||
@@ -108,7 +114,7 @@ def add_vcr_to_notebook(
|
||||
if all(is_comment(line) or not line.strip() for line in lines):
|
||||
continue
|
||||
|
||||
if has_blocklisted_command(cell.source):
|
||||
if has_blocklisted_command(cell.source, cell.metadata):
|
||||
continue
|
||||
|
||||
cell_id = cell.get("id", idx)
|
||||
@@ -117,6 +123,9 @@ def add_vcr_to_notebook(
|
||||
f" {line}" for line in lines
|
||||
)
|
||||
|
||||
if any("hub.pull" in line or "from langsmith import" in line for line in lines):
|
||||
uses_langsmith = True
|
||||
|
||||
# Add import statement
|
||||
vcr_import_lines = [
|
||||
"import nest_asyncio",
|
||||
@@ -125,6 +134,8 @@ def add_vcr_to_notebook(
|
||||
"import msgpack",
|
||||
"import base64",
|
||||
"import zlib",
|
||||
"import os",
|
||||
"os.environ.pop(\"LANGCHAIN_TRACING_V2\", None)",
|
||||
"custom_vcr = vcr.VCR()",
|
||||
"",
|
||||
"def compress_data(data, compression_level=9):",
|
||||
@@ -147,6 +158,15 @@ def add_vcr_to_notebook(
|
||||
"custom_vcr.register_serializer('advanced_compressed', AdvancedCompressedSerializer())",
|
||||
"custom_vcr.serializer = 'advanced_compressed'",
|
||||
]
|
||||
if uses_langsmith:
|
||||
vcr_import_lines.extend(
|
||||
# patch urllib3 to handle vcr errors, see more here:
|
||||
# https://github.com/langchain-ai/langsmith-sdk/blob/main/python/langsmith/_internal/_patch.py
|
||||
"import sys",
|
||||
f"sys.path.insert(0, '{os.path.join(DOCS_PATH, '_scripts')}')",
|
||||
"import _patch as patch_urllib3",
|
||||
"patch_urllib3.patch_urllib3()",
|
||||
)
|
||||
import_cell = nbformat.v4.new_code_cell(source="\n".join(vcr_import_lines))
|
||||
import_cell.pop("id", None)
|
||||
notebook.cells.insert(0, import_cell)
|
||||
|
||||
@@ -0,0 +1 @@
|
||||
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
|
||||
@@ -0,0 +1 @@
|
||||
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 truncated
|
||||
@@ -0,0 +1 @@
|
||||
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ine truncated
|
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@@ -0,0 +1 @@
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|
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@@ -1 +1 @@
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ine truncated
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ine truncated
|
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@@ -1 +1 @@
|
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ine truncated
|
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|
||||
+1
@@ -0,0 +1 @@
|
||||
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truncated
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+1
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ine truncated
|
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+1
@@ -0,0 +1 @@
|
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ine truncated
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@@ -0,0 +1 @@
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ine truncated
|
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@@ -0,0 +1 @@
|
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ine truncated
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ine truncated
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truncated
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+1
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ine truncated
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+1
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|
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truncated
|
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+1
@@ -0,0 +1 @@
|
||||
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ine truncated
|
||||
-1
@@ -1 +0,0 @@
|
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ine truncated
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-1
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ine truncated
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ine truncated
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ine 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ine truncated
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-1
@@ -1 +0,0 @@
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ine truncated
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-1
@@ -1 +0,0 @@
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ine truncated
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-1
@@ -1 +0,0 @@
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ine truncated
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-1
@@ -1 +0,0 @@
|
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ine truncated
|
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-1
@@ -1 +0,0 @@
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ine truncated
|
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-1
@@ -1 +0,0 @@
|
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ine truncated
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-1
@@ -1 +0,0 @@
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ine truncated
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ine truncated
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+1
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ine truncated
|
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+1
@@ -0,0 +1 @@
|
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truncated
|
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@@ -0,0 +1 @@
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ine truncated
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@@ -0,0 +1 @@
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|
||||
@@ -1 +1 @@
|
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ine truncated
|
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|
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@@ -0,0 +1 @@
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|
||||
@@ -1 +1 @@
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-1
@@ -1 +0,0 @@
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ine truncated
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|
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|
||||
@@ -1 +1 @@
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ine truncated
|
||||
@@ -1 +1 @@
|
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|
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@@ -1 +0,0 @@
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@@ -1 +1 @@
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|
||||
@@ -1 +0,0 @@
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truncated
|
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|
||||
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ine truncated
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ine truncated
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ine truncated
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ine truncated
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ine truncated
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ine truncated
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ine truncated
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@@ -1 +0,0 @@
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