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Author SHA1 Message Date
Jacob LeeandGitHub b6c46d1a45 Update README.md 2024-07-11 15:42:32 -07:00
Jacob LeeandGitHub 9c7dafb75a Update README.md 2024-07-11 15:42:16 -07:00
jacoblee93 b67c3d1edd Sync readmes 2024-07-11 15:16:58 -07:00
Jacob LeeandGitHub 634fd082c5 Fix example
CC @vbarda
2024-07-11 15:14:12 -07:00
849 changed files with 60505 additions and 133231 deletions
+10 -10
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@@ -1,5 +1,5 @@
name: "\U0001F41B Bug Report"
description: Report a bug in LangGraph. To report a security issue, please instead use the security option below. For questions, please use the GitHub Discussions.
description: Report a bug in LangChain. To report a security issue, please instead use the security option below. For questions, please use the GitHub Discussions.
labels: ["02 Bug Report"]
body:
- type: markdown
@@ -15,11 +15,11 @@ body:
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/).
[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),
[API Reference](https://api.python.langchain.com/en/stable/),
[GitHub search](https://github.com/langchain-ai/langchain),
[LangChain Github Discussions](https://github.com/langchain-ai/langchain/discussions),
[LangChain Github Issues](https://github.com/langchain-ai/langchain/issues?q=is%3Aissue),
[LangChain ChatBot](https://chat.langchain.com/)
- type: checkboxes
id: checks
@@ -54,13 +54,13 @@ body:
* 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
from langchain_core.runnables import RunnableLambda
def bad_code(inputs) -> int:
raise NotImplementedError('For demo purpose')
chain = StateGraph(list)
chain.invoke('Hello!')
chain = RunnableLambda(bad_code)
chain.invoke('Hello!')
render: python
- type: textarea
id: error
@@ -82,7 +82,7 @@ body:
Write a short description telling what you are doing, what you expect to happen, and what is currently happening.
placeholder: |
* I'm trying to use the `langgraph` library to do X.
* I'm trying to use the `langchain` library to do X.
* I expect to see Y.
* Instead, it does Z.
validations:
@@ -102,7 +102,7 @@ body:
python -m langchain_core.sys_info
placeholder: |
"pip freeze | grep langgraph"
"pip freeze | grep langchain"
platform
python version
+6 -6
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@@ -3,13 +3,13 @@ version: 2.1
contact_links:
- name: 🤔 Question or Problem
about: Ask a question or ask about a problem in GitHub Discussions.
url: https://github.com/langchain-ai/langgraph/discussions/categories/q-a
url: https://www.github.com/langchain-ai/langchain/discussions/categories/q-a
- name: Discord
url: https://discord.gg/6adMQxSpJS
about: General community discussions
- name: Feature Request
url: https://github.com/langchain-ai/langgraph/discussions/categories/ideas
url: https://www.github.com/langchain-ai/langchain/discussions/categories/ideas
about: Suggest a feature or an idea
- name: Show and tell
about: Show what you built with LangChain
url: https://github.com/langchain-ai/langgraph/discussions/categories/show-and-tell
- name: Slack
url: https://www.langchain.com/join-community
about: General community discussions
url: https://www.github.com/langchain-ai/langchain/discussions/categories/show-and-tell
+1 -1
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@@ -1,5 +1,5 @@
name: Documentation
description: Report an issue related to the LangGraph documentation.
description: Report an issue related to the LangChain documentation.
title: "DOC: <Please write a comprehensive title after the 'DOC: ' prefix>"
labels: [03 - Documentation]
-64
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@@ -1,64 +0,0 @@
import ast
import os
from itertools import filterfalse
from typing import List, Tuple
ROOT_PATH = os.path.abspath(os.path.join(__file__, "..", "..", ".."))
CLIENT_PATH = os.path.join(ROOT_PATH, "libs", "sdk-py", "langgraph_sdk", "client.py")
def get_class_methods(node: ast.ClassDef) -> List[str]:
return [n.name for n in node.body if isinstance(n, (ast.FunctionDef, ast.AsyncFunctionDef))]
def find_classes(tree: ast.AST) -> List[Tuple[str, List[str]]]:
classes = []
for node in ast.walk(tree):
if isinstance(node, ast.ClassDef):
methods = get_class_methods(node)
classes.append((node.name, methods))
return classes
def compare_sync_async_methods(sync_methods: List[str], async_methods: List[str]) -> List[str]:
sync_set = set(sync_methods)
async_set = set(async_methods)
missing_in_sync = list(async_set - sync_set)
missing_in_async = list(sync_set - async_set)
return missing_in_sync + missing_in_async
def main():
with open(CLIENT_PATH, "r") as file:
tree = ast.parse(file.read())
classes = find_classes(tree)
def is_sync(class_spec: Tuple[str, List[str]]) -> bool:
return class_spec[0].startswith("Sync")
sync_class_name_to_methods = {class_name: class_methods for class_name, class_methods in filter(is_sync, classes)}
async_class_name_to_methods = {class_name: class_methods for class_name, class_methods in filterfalse(is_sync, classes)}
mismatches = []
for async_class_name, async_class_methods in async_class_name_to_methods.items():
sync_class_name = "Sync" + async_class_name
sync_class_methods = sync_class_name_to_methods.get(sync_class_name, [])
diff = compare_sync_async_methods(sync_class_methods, async_class_methods)
if diff:
mismatches.append((sync_class_name, async_class_name, diff))
if mismatches:
error_message = "Mismatches found between sync and async client methods:\n"
for sync_class_name, async_class_name, diff in mismatches:
error_message += f"{sync_class_name} vs {async_class_name}:\n"
for method in diff:
error_message += f" - {method}\n"
raise ValueError(error_message)
print("All sync and async client methods match.")
if __name__ == "__main__":
main()
+1 -1
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@@ -22,7 +22,7 @@ jobs:
- uses: actions/checkout@v4
- name: Get changed files
id: changed-files
uses: Ana06/get-changed-files@v2.3.0
uses: Ana06/get-changed-files@v2.2.0
with:
filter: "libs/cli/**"
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
+4 -3
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@@ -27,13 +27,14 @@ jobs:
# Starting new jobs is also relatively slow,
# so linting on fewer versions makes CI faster.
python-version:
- "3.12"
- "3.9"
- "3.11"
name: "lint #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@v4
- name: Get changed files
id: changed-files
uses: Ana06/get-changed-files@v2.3.0
uses: Ana06/get-changed-files@v2.2.0
with:
filter: "${{ inputs.working-directory }}/**"
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
@@ -43,7 +44,7 @@ jobs:
python-version: ${{ matrix.python-version }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: lint-${{ inputs.working-directory }}
cache-key: lint-with-extras
- name: Check Poetry File
if: steps.changed-files.outputs.all
+12 -12
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@@ -21,38 +21,38 @@ jobs:
- "3.10"
- "3.11"
- "3.12"
- "3.13"
name: "test #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@v4
- name: Get changed files
id: changed-files
uses: Ana06/get-changed-files@v2.2.0
with:
filter: "${{ inputs.working-directory }}/**"
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
if: steps.changed-files.outputs.all
uses: "./.github/actions/poetry_setup"
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 }}
cache-key: core
- name: Install dependencies
if: steps.changed-files.outputs.all
shell: bash
working-directory: ${{ inputs.working-directory }}
run: |
poetry install --with dev
run: poetry install --with dev
- name: Run tests
- name: Run core tests
if: steps.changed-files.outputs.all
shell: bash
working-directory: ${{ inputs.working-directory }}
run: |
make test
- name: Ensure the tests did not create any additional files
if: steps.changed-files.outputs.all
shell: bash
working-directory: ${{ inputs.working-directory }}
run: |
-68
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@@ -1,68 +0,0 @@
name: test
on:
workflow_call:
env:
POETRY_VERSION: "1.7.1"
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.9"
- "3.10"
- "3.11"
- "3.12"
- "3.13"
core-version:
- "latest"
include:
- python-version: "3.11"
core-version: ">=0.2.39,<0.3.0"
defaults:
run:
working-directory: libs/langgraph
name: "test #${{ matrix.python-version }} (langchain-core: ${{ matrix.core-version }})"
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
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: ${{ secrets.DOCKERHUB_RO_TOKEN }}
- name: Install dependencies
shell: bash
run: |
poetry install --with dev
if [ "${{ matrix.core-version }}" != "latest" ]; then
poetry run pip install "langchain-core${{ matrix.core-version }}"
fi
- name: Run tests
shell: bash
run: |
make test
- name: Ensure the tests did not create any additional files
shell: bash
run: |
set -eu
STATUS="$(git status)"
echo "$STATUS"
# grep will exit non-zero if the target message isn't found,
# and `set -e` above will cause the step to fail.
echo "$STATUS" | grep 'nothing to commit, working tree clean'
@@ -1,57 +0,0 @@
name: test
on:
workflow_call:
env:
POETRY_VERSION: "1.7.1"
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
python-version:
- "3.11"
- "3.12"
defaults:
run:
working-directory: libs/scheduler-kafka
name: "test #${{ matrix.python-version }}"
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ matrix.python-version }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
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: ${{ secrets.DOCKERHUB_RO_TOKEN }}
- name: Install dependencies
shell: bash
run: |
poetry install --with dev
- name: Run tests
shell: bash
run: |
make test
- name: Ensure the tests did not create any additional files
shell: bash
run: |
set -eu
STATUS="$(git status)"
echo "$STATUS"
# grep will exit non-zero if the target message isn't found,
# and `set -e` above will cause the step to fail.
echo "$STATUS" | grep 'nothing to commit, working tree clean'
-37
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@@ -1,37 +0,0 @@
name: baseline
on:
workflow_dispatch:
push:
branches: [main]
paths:
- "libs/**"
env:
POETRY_VERSION: "1.7.1"
jobs:
benchmark:
runs-on: ubuntu-latest
defaults:
run:
working-directory: libs/langgraph
steps:
- uses: actions/checkout@v4
- run: SHA=$(git rev-parse HEAD) && echo "SHA=$SHA" >> $GITHUB_ENV
- name: Set up Python 3.11 + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
python-version: "3.11"
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: bench
- name: Install dependencies
run: poetry install --with dev
- name: Run benchmarks
run: OUTPUT=out/benchmark-baseline.json make -s benchmark
- name: Save outputs
uses: actions/cache/save@v4
with:
key: ${{ runner.os }}-benchmark-baseline-${{ env.SHA }}
path: |
libs/langgraph/out/benchmark-baseline.json
-71
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@@ -1,71 +0,0 @@
name: bench
on:
pull_request:
paths:
- "libs/**"
env:
POETRY_VERSION: "1.7.1"
jobs:
benchmark:
runs-on: ubuntu-latest
defaults:
run:
working-directory: libs/langgraph
steps:
- uses: actions/checkout@v4
- id: files
name: Get changed files
uses: Ana06/get-changed-files@v2.3.0
with:
format: json
- name: Set up Python 3.11 + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
python-version: "3.11"
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: bench
- name: Install dependencies
run: poetry install --with dev
- name: Download baseline
uses: actions/cache/restore@v4
with:
key: ${{ runner.os }}-benchmark-baseline
restore-keys: |
${{ runner.os }}-benchmark-baseline-
fail-on-cache-miss: true
path: |
libs/langgraph/out/benchmark-baseline.json
- name: Run benchmarks
id: benchmark
run: |
{
echo 'OUTPUT<<EOF'
make -s benchmark
echo EOF
} >> "$GITHUB_OUTPUT"
- name: Compare benchmarks
id: compare
run: |
{
echo 'OUTPUT<<EOF'
mv out/benchmark-baseline.json out/main.json
mv out/benchmark.json out/changes.json
poetry run pyperf compare_to out/main.json out/changes.json --table --group-by-speed
echo EOF
} >> "$GITHUB_OUTPUT"
- name: Annotation
uses: actions/github-script@v7
with:
script: |
const file = JSON.parse(`${{ steps.files.outputs.added_modified_renamed }}`)[0]
core.notice(`${{ steps.benchmark.outputs.OUTPUT }}`, {
title: 'Benchmark results',
file,
})
core.notice(`${{ steps.compare.outputs.OUTPUT }}`, {
title: 'Comparison against main',
file,
})
+103 -123
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@@ -1,128 +1,108 @@
---
name: CI
name: CI
on:
push:
branches: [main]
pull_request:
on:
push:
branches: [main]
pull_request:
# If another push to the same PR or branch happens while this workflow is still running,
# cancel the earlier run in favor of the next run.
#
# There's no point in testing an outdated version of the code. GitHub only allows
# a limited number of job runners to be active at the same time, so it's better to cancel
# pointless jobs early so that more useful jobs can run sooner.
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
# If another push to the same PR or branch happens while this workflow is still running,
# cancel the earlier run in favor of the next run.
#
# There's no point in testing an outdated version of the code. GitHub only allows
# a limited number of job runners to be active at the same time, so it's better to cancel
# pointless jobs early so that more useful jobs can run sooner.
concurrency:
group: ${{ github.workflow }}-${{ github.ref }}
cancel-in-progress: true
env:
POETRY_VERSION: "1.7.1"
jobs:
lint:
name: cd ${{ matrix.working-directory }}
strategy:
matrix:
working-directory:
[
"libs/langgraph",
"libs/sdk-py",
"libs/cli",
"libs/checkpoint",
"libs/checkpoint-sqlite",
"libs/checkpoint-duckdb",
"libs/checkpoint-postgres",
"libs/scheduler-kafka",
]
uses: ./.github/workflows/_lint.yml
with:
working-directory: ${{ matrix.working-directory }}
secrets: inherit
test:
name: cd ${{ matrix.working-directory }}
strategy:
matrix:
working-directory: [
"libs/cli",
"libs/checkpoint",
"libs/checkpoint-sqlite",
"libs/checkpoint-duckdb",
"libs/checkpoint-postgres"
]
uses: ./.github/workflows/_test.yml
with:
working-directory: ${{ matrix.working-directory }}
secrets: inherit
# NOTE: we're testing langgraph separately because it requires a different matrix
test-langgraph:
name: "cd libs/langgraph"
uses: ./.github/workflows/_test_langgraph.yml
secrets: inherit
# NOTE: we're testing scheduler-kafka separately because it requires a different matrix
test-scheduler-kafka:
name: "cd libs/scheduler-kafka"
uses: ./.github/workflows/_test_scheduler_kafka.yml
secrets: inherit
check-sdk-methods:
name: "Check SDK methods matching"
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v5
with:
python-version: '3.11'
- name: Run check_sdk_methods script
run: python .github/scripts/check_sdk_methods.py
integration-test:
name: CLI integration test
uses: ./.github/workflows/_integration_test.yml
secrets: inherit
lint-js:
runs-on: ubuntu-latest
strategy:
matrix:
working-directory:
- "libs/sdk-js"
defaults:
run:
working-directory: ${{ matrix.working-directory }}
steps:
- uses: actions/checkout@v3
- name: Setup Node.js (LTS)
uses: actions/setup-node@v3
with:
node-version: "20"
cache: "yarn"
cache-dependency-path: ${{ matrix.working-directory }}/yarn.lock
- name: Install dependencies
run: yarn install
- name: Run lint
run: yarn lint
- name: Build
run: yarn build
ci_success:
name: "CI Success"
needs: [lint, lint-js, test, test-langgraph, test-scheduler-kafka, integration-test]
if: |
always()
runs-on: ubuntu-latest
env:
JOBS_JSON: ${{ toJSON(needs) }}
RESULTS_JSON: ${{ toJSON(needs.*.result) }}
EXIT_CODE: ${{!contains(needs.*.result, 'failure') && !contains(needs.*.result, 'cancelled') && '0' || '1'}}
steps:
- name: "CI Success"
run: |
echo $JOBS_JSON
echo $RESULTS_JSON
echo "Exiting with $EXIT_CODE"
exit $EXIT_CODE
POETRY_VERSION: "1.7.1"
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- uses: actions/setup-python@v5
with:
python-version: '3.10'
lint:
name: cd ${{ matrix.working-directory }}
needs: [ build ]
strategy:
matrix:
working-directory: [
"libs/langgraph",
"libs/sdk-py",
"libs/cli"
]
uses: ./.github/workflows/_lint.yml
with:
working-directory: ${{ matrix.working-directory }}
secrets: inherit
test:
name: cd ${{ matrix.working-directory }}
needs: [ build ]
strategy:
matrix:
working-directory: [
"libs/langgraph",
"libs/cli"
]
uses: ./.github/workflows/_test.yml
with:
working-directory: ${{ matrix.working-directory }}
secrets: inherit
integration-test:
name: CLI integration test
needs: [ build ]
uses: ./.github/workflows/_integration_test.yml
secrets: inherit
lint-js:
runs-on: ubuntu-latest
needs: [ build ]
strategy:
matrix:
working-directory:
- "libs/sdk-js"
defaults:
run:
working-directory: ${{ matrix.working-directory }}
steps:
- uses: actions/checkout@v3
- name: Setup Node.js (LTS)
uses: actions/setup-node@v3
with:
node-version: "20"
cache: "yarn"
cache-dependency-path: ${{ matrix.working-directory }}/yarn.lock
- name: Install dependencies
run: yarn install
- name: Run lint
run: yarn lint
- name: Build
run: yarn build
ci_success:
name: "CI Success"
needs: [build, lint, lint-js, test, integration-test]
if: |
always()
runs-on: ubuntu-latest
env:
JOBS_JSON: ${{ toJSON(needs) }}
RESULTS_JSON: ${{ toJSON(needs.*.result) }}
EXIT_CODE: ${{!contains(needs.*.result, 'failure') && !contains(needs.*.result, 'cancelled') && '0' || '1'}}
steps:
- name: "CI Success"
run: |
echo $JOBS_JSON
echo $RESULTS_JSON
echo "Exiting with $EXIT_CODE"
exit $EXIT_CODE
+1 -1
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@@ -32,7 +32,7 @@
- name: Codespell
uses: codespell-project/actions-codespell@v2
with:
skip: '*.ambr,*.lock,*.ipynb,*.yaml,*.zlib'
skip: '*.ambr,*.lock,*.ipynb'
ignore_words_list: ${{ steps.extract_ignore_words.outputs.ignore_words_list }}
# We do this to avoid spellchecking cell outputs
- name: Codespell Notebooks
+8 -59
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@@ -22,27 +22,7 @@ concurrency:
cancel-in-progress: false
jobs:
get-changed-files:
runs-on: ubuntu-latest
outputs:
changed-files: ${{ steps.changed-files.outputs.added_modified }}
steps:
- uses: actions/checkout@v4
- name: Get changed files
id: changed-files
uses: Ana06/get-changed-files@v2.3.0
with:
filter: "docs/docs/**"
run-changed-notebooks:
needs: get-changed-files
uses: ./.github/workflows/run_notebooks.yml
secrets: inherit
with:
changed-files: ${{ needs.get-changed-files.outputs.changed-files }}
deploy:
# needs: run-changed-notebooks
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
@@ -58,51 +38,13 @@ jobs:
- name: Install dependencies
run: |
poetry install --with test
poetry run pip install -U pytest pytest-check-links langsmith langchain GitPython
poetry install --with docs
- name: Lint Docs
# This step lints the docs using the existing linting set up.
# It should be very fast and should not require any external services.
run: make lint-docs
- name: Build site
run: make build-docs
env:
MKDOCS_GIT_COMMITTERS_APIKEY: ${{ secrets.MKDOCS_GIT_COMMITTERS_APIKEY }}
- name: Check links in notebooks
env:
LANGCHAIN_API_KEY: test
run: |
if [ "${{ github.event_name }}" == "schedule" ] || [ "${{ github.event_name }}" == "workflow_dispatch" ] || ([ "${{ github.event_name }}" == "push" ] && [ "${{ github.ref }}" == "refs/heads/main" ]); then
echo "Running link check on all HTML files matching notebooks in docs directory..."
poetry run pytest -v \
--check-links-ignore "https://(api|web|docs)\.smith\.langchain\.com/.*" \
--check-links-ignore "https://x.com/.*" \
--check-links-ignore "https://github\.com/.*" \
--check-links-ignore "/.*\.(ipynb|html)$" \
--check-links-ignore "https://python\.langchain\.com/.*" \
--check-links $(find docs/site -name "index.html" | grep -v 'storm/index.html')
else
echo "Fetching changes from origin/main..."
git fetch origin main
echo "Checking for changed notebook files..."
CHANGED_FILES=$(git diff --name-only --diff-filter=d origin/main | grep 'docs/docs/.*\.ipynb$' | grep -v 'storm.ipynb' | sed -E 's|^docs/docs/|docs/site/|; s/\.ipynb$/\/index.html/' || true)
echo "Changed files: ${CHANGED_FILES}"
if [ -n "${CHANGED_FILES}" ]; then
echo "Running link check on HTML files matching changed notebook files..."
poetry run pytest -v \
--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 "/.*\.(ipynb|html)$" \
--check-links ${CHANGED_FILES} \
|| ([ $? = 5 ] && exit 0 || exit $?)
else
echo "No notebook files changed."
fi
fi
- name: Configure GitHub Pages
if: github.ref == 'refs/heads/main'
uses: actions/configure-pages@v4
@@ -117,3 +59,10 @@ jobs:
if: github.ref == 'refs/heads/main'
id: deployment
uses: actions/deploy-pages@v4
- name: Deploy Pull Request Preview
if: github.event_name == 'pull_request'
uses: actions/upload-artifact@v2
with:
name: pr-preview-${{ github.event.number }}
path: ./docs/site/
+39 -1
View File
@@ -26,11 +26,49 @@ jobs:
- name: Check links in Markdown files
uses: gaurav-nelson/github-action-markdown-link-check@v1
with:
folder-path: "docs/"
folder-path: "examples/,docs/"
check-modified-files-only: ${{ github.event_name != 'schedule' }}
file-path: "./README.md"
config-file: "./.markdown-link-check.config.json"
notebook-link-check:
runs-on: ubuntu-latest
steps:
- name: Checkout code
uses: actions/checkout@v4
- name: Set up Python 3.x + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
python-version: "3.11"
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: core
- name: Install dependencies
run: |
python -m pip install --upgrade pip
poetry install --with docs
poetry run pip install -U pytest pytest-check-links langsmith langchain GitPython
- name: Check links in notebooks
env:
LANGCHAIN_API_KEY: test
run: |
if [ "${{ github.event_name }}" == "schedule" ] || [ "${{ github.event_name }}" == "workflow_dispatch" ] || ([ "${{ github.event_name }}" == "push" ] && [ "${{ github.ref }}" == "refs/heads/main" ]); then
echo "Running link check on all notebooks in examples directory..."
poetry run pytest -v --check-links-ignore "https://(api|web)\.smith\.langchain\.com/.*" --check-links-ignore "https://x.com/.*" --check-links examples
else
echo "Fetching changes from origin/main..."
git fetch origin main
echo "Checking for changed notebook files..."
CHANGED_FILES=$(git diff --name-only --diff-filter=d origin/main | grep '\.ipynb$' || true)
echo "Changed files: ${CHANGED_FILES}"
if [ -n "${CHANGED_FILES}" ]; then
echo "Running link check on changed notebook files..."
poetry run pytest -v --check-links-ignore "https://(api|web)\.smith\.langchain\.com/.*" --check-links-ignore "https://x.com/.*" --check-links ${CHANGED_FILES} || ([ $? = 5 ] && exit 0 || exit $?)
else
echo "No notebook files changed."
fi
fi
check-readmes-synced:
# This checks that the repo README.md is identical to the libs/langgraph/README.md
runs-on: ubuntu-latest
+7 -12
View File
@@ -6,7 +6,7 @@ on:
working-directory:
required: true
type: string
default: "libs/langgraph"
default: 'libs/langgraph'
env:
PYTHON_VERSION: "3.11"
@@ -104,7 +104,7 @@ jobs:
REGEX="^$SHORT_PKG_NAME==\\d+\\.\\d+\\.\\d+((a|b|rc)\\d+)?\$"
fi
echo $REGEX
PREV_TAG=$(git tag --sort=-creatordate | grep -P $REGEX | head -1 || echo "")
PREV_TAG=$(git tag --sort=-creatordate | grep -P $REGEX | head -1)
echo $PREV_TAG
if [ "$TAG" == "$PREV_TAG" ]; then
echo "No new version to release"
@@ -137,7 +137,8 @@ jobs:
- build
- release-notes
permissions: write-all
uses: ./.github/workflows/_test_release.yml
uses:
./.github/workflows/_test_release.yml
with:
working-directory: ${{ inputs.working-directory }}
secrets: inherit
@@ -197,15 +198,9 @@ jobs:
"$PKG_NAME==$VERSION" \
)
if [[ "$PKG_NAME" == *checkpoint* ]]; then
# since checkpoint packages are namespace packages, import them with . convention
# i.e. import langgraph.checkpoint or langgraph.checkpoint.sqlite
IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/./g)"
else
# Replace all dashes in the package name with underscores,
# since that's how Python imports packages with dashes in the name.
IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/_/g)"
fi
# Replace all dashes in the package name with underscores,
# since that's how Python imports packages with dashes in the name.
IMPORT_NAME="$(echo "$PKG_NAME" | sed s/-/_/g)"
poetry run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))"
-78
View File
@@ -1,78 +0,0 @@
name: Run notebooks
on:
workflow_dispatch:
workflow_call:
inputs:
changed-files:
required: false
type: string
description: "JSON string of changed files"
schedule:
- cron: '0 13 * * *'
jobs:
build:
runs-on: ubuntu-latest
strategy:
matrix:
lib-version:
- "development"
- "latest"
steps:
- uses: actions/checkout@v4
- name: Set up Python + Poetry
uses: "./.github/actions/poetry_setup"
with:
python-version: 3.11
poetry-version: 1.7.1
cache-key: test-langgraph-notebooks
- name: Install dependencies
run: |
poetry install --with test
poetry run pip install jupyter
- name: Start services
run: make start-services
- name: Pre-download tiktoken files
run: |
poetry run python docs/_scripts/download_tiktoken.py
- name: Prepare notebooks
run: |
if [ "${{ matrix.lib-version }}" = "development" ]; then
poetry run python docs/_scripts/prepare_notebooks_for_ci.py --comment-install-cells
else
poetry run python docs/_scripts/prepare_notebooks_for_ci.py
fi
- name: Run notebooks
env:
# these won't actually be used because of the VCR cassettes
# but need to set them to avoid triggering getpass()
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
TAVILY_API_KEY: ${{ secrets.TAVILY_API_KEY }}
LANGSMITH_API_KEY: ${{ secrets.LANGSMITH_API_KEY }}
NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }}
COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
run: |
if [ "${{ github.event_name }}" = "workflow_dispatch" ] || [ "${{ github.event_name }}" = "schedule" ]; then
echo "Running all notebooks"
./docs/_scripts/execute_notebooks.sh
else
CHANGED_FILES=$(echo '${{ inputs.changed-files }}' | tr ' ' '\n' | grep '\.ipynb$' || true)
if [ -n "$CHANGED_FILES" ]; then
echo "Running changed notebooks: $CHANGED_FILES"
./docs/_scripts/execute_notebooks.sh $CHANGED_FILES
else
echo "No notebook files changed, skipping execution"
fi
fi
- name: Stop services
run: make stop-services
-29
View File
@@ -1,29 +0,0 @@
name: Check File Size
on:
push:
branches:
- main
pull_request:
branches:
- main
workflow_dispatch:
jobs:
file-size-check:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Get changed files
id: changed-files
uses: tj-actions/changed-files@v44
- name: Filter by size
# TODO: roll back the web voyager hack
run: |
large_added_files=$(find ${{ steps.changed-files.outputs.added_files }} -maxdepth 0 -size +1M | grep -v "web_voyager" || true)
if [ -n "$large_added_files" ]; then
echo "Large files added: $large_added_files"
echo "# Large files added:" >> $GITHUB_STEP_SUMMARY
echo "$large_added_files" >> $GITHUB_STEP_SUMMARY
exit 1
fi
-2
View File
@@ -177,5 +177,3 @@ docs/docs_skeleton/yarn.lock
Untitled*.ipynb
Chinook.db
libs/langgraph/out
+7 -26
View File
@@ -1,39 +1,20 @@
.PHONY: lint-docs format-docs build-docs serve-docs serve-clean-docs clean-docs codespell build-typedoc
.PHONY: build-docs serve-docs serve-clean-docs clean-docs codespell
build-typedoc:
cd libs/sdk-js && yarn install --include-dev && yarn typedoc
cd libs/sdk-js && yarn --silent concat-md --decrease-title-levels --ignore=js_ts_sdk_ref.md --start-title-level-at 2 docs > ../../docs/docs/cloud/reference/sdk/js_ts_sdk_ref.md 2>/dev/null
# Add links to the monorepo
sed -e '1,10s|@langchain/langgraph-sdk|[@langchain/langgraph-sdk](https://github.com/langchain-ai/langgraph/tree/main/libs/sdk-js)|g' docs/docs/cloud/reference/sdk/js_ts_sdk_ref.md > temp_file && mv temp_file docs/docs/cloud/reference/sdk/js_ts_sdk_ref.md
build-docs: build-typedoc
build-docs:
poetry run python docs/_scripts/copy_notebooks.py
poetry run python -m mkdocs build --clean -f docs/mkdocs.yml --strict
serve-clean-docs: clean-docs
poetry run python docs/_scripts/copy_notebooks.py
poetry run python -m mkdocs serve -c -f docs/mkdocs.yml --strict -w ./libs/langgraph
serve-docs: build-typedoc
serve-docs:
poetry run python docs/_scripts/copy_notebooks.py
poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./libs/langgraph --dirty
clean-docs:
find ./docs/docs -name "*.ipynb" -type f -delete
rm -rf docs/site
## Run format against the project documentation.
format-docs:
poetry run ruff format docs/docs
poetry run ruff check --fix docs/docs
# Check the docs for linting violations
lint-docs:
poetry run ruff format --check docs/docs
poetry run ruff check docs/docs
codespell:
./docs/codespell_notebooks.sh .
start-services:
docker compose -f docs/test-compose.yml up -V --force-recreate --wait --remove-orphans
stop-services:
docker compose -f docs/test-compose.yml down
./docs/codespell_notebooks.sh .
+11 -11
View File
@@ -3,6 +3,7 @@
![Version](https://img.shields.io/pypi/v/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)
[![](https://dcbadge.vercel.app/api/server/6adMQxSpJS?compact=true&style=flat)](https://discord.com/channels/1038097195422978059/1170024642245832774)
[![Docs](https://img.shields.io/badge/docs-latest-blue)](https://langchain-ai.github.io/langgraph/)
⚡ Building language agents as graphs ⚡
@@ -10,14 +11,15 @@
> [!NOTE]
> Looking for the JS version? Click [here](https://github.com/langchain-ai/langgraphjs) ([JS docs](https://langchain-ai.github.io/langgraphjs/)).
> [!TIP]
> Looking to deploy your LangGraph application? [Join the waitlist](https://www.langchain.com/langgraph-cloud-beta) for [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/), our managed service for deploying and hosting LangGraph applications.
## Overview
[LangGraph](https://langchain-ai.github.io/langgraph/) is a library for building stateful, multi-actor applications with LLMs, used to create agent and multi-agent workflows. Compared to other LLM frameworks, it offers these core benefits: cycles, controllability, and persistence. LangGraph allows you to define flows that involve cycles, essential for most agentic architectures, differentiating it from DAG-based solutions. As a very low-level framework, it provides fine-grained control over both the flow and state of your application, crucial for creating reliable agents. Additionally, LangGraph includes built-in persistence, enabling advanced human-in-the-loop and memory features.
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.
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
- **Cycles and Branching**: Implement loops and conditionals in your apps.
@@ -55,13 +57,11 @@ export LANGSMITH_API_KEY=lsv2_sk_...
```
```python
from typing import Annotated, Literal, TypedDict
from langchain_core.messages import HumanMessage
from langchain_anthropic import ChatAnthropic
from langchain_core.tools import tool
from langgraph.checkpoint.memory import MemorySaver
from langgraph.graph import END, START, StateGraph, MessagesState
from langgraph.checkpoint import MemorySaver
from langgraph.graph import END, StateGraph, MessagesState
from langgraph.prebuilt import ToolNode
@@ -71,8 +71,8 @@ def search(query: str):
"""Call to surf the web."""
# This is a placeholder, but don't tell the LLM that...
if "sf" in query.lower() or "san francisco" in query.lower():
return "It's 60 degrees and foggy."
return "It's 90 degrees and sunny."
return ["It's 60 degrees and foggy."]
return ["It's 90 degrees and sunny."]
tools = [search]
@@ -82,7 +82,7 @@ tool_node = ToolNode(tools)
model = ChatAnthropic(model="claude-3-5-sonnet-20240620", temperature=0).bind_tools(tools)
# Define the function that determines whether to continue or not
def should_continue(state: MessagesState) -> Literal["tools", END]:
def should_continue(state: MessagesState) -> Union[Literal["tools"], type(END)]:
messages = state['messages']
last_message = messages[-1]
# If the LLM makes a tool call, then we route to the "tools" node
@@ -109,7 +109,7 @@ workflow.add_node("tools", tool_node)
# Set the entrypoint as `agent`
# This means that this node is the first one called
workflow.add_edge(START, "agent")
workflow.set_entry_point("agent")
# We now add a conditional edge
workflow.add_conditional_edges(
@@ -224,7 +224,7 @@ final_state["messages"][-1].content
* [Tutorials](https://langchain-ai.github.io/langgraph/tutorials/): Learn to build with LangGraph through guided examples.
* [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.
* [Conceptual Guides](https://langchain-ai.github.io/langgraph/concepts/): 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.
+1 -1
View File
@@ -1,2 +1,2 @@
*.ipynb
site/
docs/cloud/reference/sdk/js_ts_sdk_ref.md
-61
View File
@@ -1,61 +0,0 @@
# Setup
To setup requirements for building docs you can run:
```bash
poetry install --with test
```
## Serving documentation locally
To run the documentation server locally you can run:
```bash
make serve-docs
```
## Execute notebooks
If you would like to automatically execute all of the notebooks, to mimic the "Run notebooks" GHA, you can run:
```bash
python docs/_scripts/prepare_notebooks_for_ci.py
./docs/_scripts/execute_notebooks.sh
```
**Note**: if you want to run the notebooks without `%pip install` cells, you can run:
```bash
python docs/_scripts/prepare_notebooks_for_ci.py --comment-install-cells
./docs/_scripts/execute_notebooks.sh
```
`prepare_notebooks_for_ci.py` script will add VCR cassette context manager for each cell in the notebook, so that:
* when the notebook is run for the first time, cells with network requests will be recorded to a VCR cassette file
* when the notebook is run subsequently, the cells with network requests will be replayed from the cassettes
**Note**: this is currently limited only to the notebooks in `docs/docs/how-tos`
## Adding new notebooks
If you are adding a notebook with API requests, it's **recommended** to record network requests so that they can be subsequently replayed. If this is not done, the notebook runner will make API requests every time the notebook is run, which can be costly and slow.
To record network requests, please make sure to first run `prepare_notebooks_for_ci.py` script.
Then, run
```bash
jupyter execute <path_to_notebook>
```
Once the notebook is executed, you should see the new VCR cassettes recorded in `docs/cassettes` directory and discard the updated notebook.
## Updating existing notebooks
If you are updating an existing notebook, please make sure to remove any existing cassettes for the notebook in `docs/cassettes` directory (each cassette is prefixed with the notebook name), and then run the steps from the "Adding new notebooks" section above.
To delete cassettes for a notebook, you can run:
```bash
rm docs/cassettes/<notebook_name>*
```
+213
View File
@@ -0,0 +1,213 @@
import json
import os
import re
import shutil
from pathlib import Path
root_dir = Path(__file__).resolve().parents[2]
examples_dir = root_dir / "examples"
docs_dir = root_dir / "docs/docs"
how_tos_dir = docs_dir / "how-tos"
tutorials_dir = docs_dir / "tutorials"
cloud_how_tos_dir = docs_dir / "cloud/how-tos"
cloud_sdk_dir = docs_dir / "cloud"
_MANUAL = {
"how-tos": [
"state-context-key.ipynb",
"async.ipynb",
"stream-values.ipynb",
"stream-updates.ipynb",
"stream-multiple.ipynb",
"streaming-tokens.ipynb",
"streaming-tokens-without-langchain.ipynb",
"streaming-content.ipynb",
"streaming-events-from-within-tools.ipynb",
"streaming-events-from-within-tools-without-langchain.ipynb",
"streaming-from-final-node.ipynb",
"persistence.ipynb",
"memory/manage-conversation-history.ipynb",
"memory/delete-messages.ipynb",
"memory/add-summary-conversation-history.ipynb",
"persistence_postgres.ipynb",
"persistence_mongodb.ipynb",
"persistence_redis.ipynb",
"visualization.ipynb",
"state-model.ipynb",
"subgraph.ipynb",
"force-calling-a-tool-first.ipynb",
"pass-run-time-values-to-tools.ipynb",
"dynamic-returning-direct.ipynb",
"managing-agent-steps.ipynb",
"respond-in-format.ipynb",
"branching.ipynb",
"dynamically-returning-directly.ipynb",
"configuration.ipynb",
"map-reduce.ipynb",
"create-react-agent.ipynb",
"create-react-agent-system-prompt.ipynb",
"create-react-agent-memory.ipynb",
"create-react-agent-hitl.ipynb",
"human_in_the_loop/breakpoints.ipynb",
"human_in_the_loop/time-travel.ipynb",
"human_in_the_loop/edit-graph-state.ipynb",
"human_in_the_loop/wait-user-input.ipynb",
],
"tutorials": [
"introduction.ipynb",
"customer-support/customer-support.ipynb",
"tutorials/tnt-llm/tnt-llm.ipynb",
"tutorials/sql-agent.ipynb",
],
}
_MANUAL_INVERSE = {v: docs_dir / k for k, vs in _MANUAL.items() for v in vs}
_HOW_TOS = {"agent_executor", "chat_agent_executor_with_function_calling", "docs"}
_HIDE = set(
str(examples_dir / f)
for f in [
"agent_executor/base.ipynb",
"agent_executor/force-calling-a-tool-first.ipynb",
"agent_executor/high-level.ipynb",
"agent_executor/human-in-the-loop.ipynb",
"agent_executor/managing-agent-steps.ipynb",
"chat_agent_executor_with_function_calling/anthropic.ipynb",
"chat_agent_executor_with_function_calling/base.ipynb",
"chat_agent_executor_with_function_calling/dynamically-returning-directly.ipynb",
"chat_agent_executor_with_function_calling/force-calling-a-tool-first.ipynb",
"chat_agent_executor_with_function_calling/high-level-tools.ipynb",
"chat_agent_executor_with_function_calling/high-level.ipynb",
"chat_agent_executor_with_function_calling/human-in-the-loop.ipynb",
"chat_agent_executor_with_function_calling/managing-agent-steps.ipynb",
"chat_agent_executor_with_function_calling/prebuilt-tool-node.ipynb",
"chat_agent_executor_with_function_calling/respond-in-format.ipynb",
"chatbots/customer-support.ipynb",
"rag/langgraph_rag_agent_llama3_local.ipynb",
"rag/langgraph_self_rag_pinecone_movies.ipynb",
"rag/langgraph_adaptive_rag_cohere.ipynb",
"dynamically-returning-directly.ipynb",
"force-calling-a-tool-first.ipynb",
"managing-agent-steps.ipynb",
"pass-run-time-values-to-tools.ipynb",
"respond-in-format.ipynb",
"quickstart.ipynb",
"human-in-the-loop.ipynb",
"learning.ipynb",
"docs/quickstart.ipynb",
"tutorials/rag-agent-testing.ipynb",
"time-travel.ipynb",
"code_assistant/langgraph_code_assistant_mistral.ipynb",
]
)
def clean_notebooks():
roots = (how_tos_dir, tutorials_dir)
for dir_ in roots:
traversed = []
for root, dirs, files in os.walk(dir_):
for file in files:
if file.endswith(".ipynb"):
os.remove(os.path.join(root, file))
# Now delete the dir if it is empty now
if root not in roots:
traversed.append(root)
for root in reversed(traversed):
if not os.listdir(root):
os.rmdir(root)
def update_notebook_links(notebook_path):
with open(notebook_path, "r", encoding="utf-8") as f:
notebook = json.load(f)
for cell in notebook["cells"]:
if cell["cell_type"] == "markdown":
for i, source in enumerate(cell["source"]):
# Update relative notebook links
cell["source"][i] = re.sub(
r"\[([^\]]+)\]\(([^:)]+\.ipynb)\)",
lambda m: transform_link(m.group(1), m.group(2)),
source,
)
with open(notebook_path, "w", encoding="utf-8") as f:
json.dump(notebook, f, indent=2)
def transform_link(text, link):
dir_path, filename = os.path.split(link)
# Remove the .ipynb extension
filename_without_ext = os.path.splitext(filename)[0]
# If it's a local link (starts with ./)
if link.startswith("./"):
# Change to parent directory and remove ./ prefix
new_link = f"../{filename_without_ext}/"
elif dir_path:
# If there's a directory path, keep it and add one more level up
new_link = f"../{dir_path}/{filename_without_ext}/"
else:
# If it's just a filename, simply go one level up
new_link = f"../{filename_without_ext}/"
return f"[{text}]({new_link})"
def copy_notebooks():
# Nested ones are mostly tutorials rn
for root, dirs, files in os.walk(examples_dir):
if any(
path.startswith(".") or path.startswith("__") for path in root.split(os.sep)
):
continue
if any(path in _HOW_TOS for path in root.split(os.sep)):
dst_dir = how_tos_dir
elif "sdk" in root.split(os.sep):
dst_dir = cloud_sdk_dir
elif "cloud_examples" in root.split(os.sep):
dst_dir = cloud_how_tos_dir
else:
dst_dir = tutorials_dir
for file in files:
dst_dir_ = dst_dir
if file.endswith((".ipynb", ".png")):
src_path = os.path.join(root, file)
if src_path in _HIDE:
print("Hiding:", src_path)
continue
dst_path = os.path.join(
dst_dir, os.path.relpath(src_path, examples_dir)
)
for k in _MANUAL_INVERSE:
if src_path.endswith(k):
overridden_dir = _MANUAL_INVERSE[k]
dst_path = os.path.join(
overridden_dir, os.path.relpath(src_path, examples_dir)
)
print(f"Overriding: {src_path} to {dst_path}")
break
# Avoid double nesting.
dst_path = dst_path.replace("tutorials/tutorials", "tutorials").replace(
"how-tos/how-tos", "how-tos"
)
os.makedirs(os.path.dirname(dst_path), exist_ok=True)
print(f"Copying: {src_path} to {dst_path}")
shutil.copy(src_path, dst_path)
# Convert all ./img/* to ../img/*
if file.endswith(".ipynb"):
with open(dst_path, "r") as f:
content = f.read()
content = content.replace("(./img/", "(../img/")
content = content.replace('src=\\"./img/', 'src=\\"../img/')
with open(dst_path, "w") as f:
f.write(content)
update_notebook_links(dst_path)
dst_dir = dst_dir_
if __name__ == "__main__":
clean_notebooks()
copy_notebooks()
-5
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@@ -1,5 +0,0 @@
import tiktoken
# This will trigger the download and caching of the necessary files
for encoding in ("gpt2", "gpt-3.5"):
tiktoken.encoding_for_model(encoding)
-36
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@@ -1,36 +0,0 @@
#!/bin/bash
# Read the list of notebooks to skip from the JSON file
SKIP_NOTEBOOKS=$(python -c "import json; print('\n'.join(json.load(open('docs/notebooks_no_execution.json'))))")
# Function to execute a single notebook
execute_notebook() {
file="$1"
echo "Starting execution of $file"
start_time=$(date +%s)
if ! output=$(time poetry run jupyter execute "$file" 2>&1); then
end_time=$(date +%s)
execution_time=$((end_time - start_time))
echo "Error in $file. Execution time: $execution_time seconds"
echo "Error details: $output"
exit 1
fi
end_time=$(date +%s)
execution_time=$((end_time - start_time))
echo "Finished $file. Execution time: $execution_time seconds"
}
export -f execute_notebook
# Check if custom notebook paths are provided
if [ $# -gt 0 ]; then
notebooks=$(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"))
fi
# Execute notebooks sequentially
for file in $notebooks; do
execute_notebook "$file"
done
@@ -1,246 +0,0 @@
import importlib
import inspect
import logging
import os
import re
from typing import List, Literal, Optional
from typing_extensions import TypedDict
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.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")
def _get_full_module_name(module_path, class_name) -> Optional[str]:
"""Get full module name using inspect"""
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"Could not find module for {class_name}, {e}")
return None
except ImportError as e:
logger.warning(f"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 # imported class name
source: str # module path
docs: str # URL to the documentation
title: str # Title of the document
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
class ImportPreprocessor(Preprocessor):
"""A preprocessor to replace imports in each Python code cell with links to their
documentation and append the import info in a comment."""
def preprocess(self, nb, resources):
self.all_imports = []
file_name = os.path.basename(resources.get("metadata", {}).get("name", ""))
_DOC_TITLE = _get_doc_title(nb.cells[0].source, file_name)
cells = []
for cell in nb.cells:
if cell.cell_type == "code":
cells.append(cell)
imports = _get_imports(
cell.source, _DOC_TITLE, "langchain"
) + _get_imports(cell.source, _DOC_TITLE, "langgraph")
if not imports:
continue
cells.append(
nbformat.v4.new_markdown_cell(
source=f"""
<div>
<b>API Reference:</b>
{' | '.join(f'<a href="{imp["docs"]}">{imp["imported"]}</a>' for imp in imports)}
</div>
"""
)
)
else:
cells.append(cell)
nb.cells = cells
return nb, resources
-126
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@@ -1,126 +0,0 @@
import os
import re
from pathlib import Path
import nbformat
from nbconvert.exporters import MarkdownExporter
from nbconvert.preprocessors import Preprocessor
from generate_api_reference_links import ImportPreprocessor
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,
ImportPreprocessor,
],
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
@@ -1,5 +0,0 @@
{
"mimetypes": {
"text/markdown": true
}
}
@@ -1,33 +0,0 @@
{% 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 -%}
![](data:image/jpg;base64,{{ output.data['image/jpeg'] }})
{%- endblock data_jpg -%}
{%- block data_png scoped -%}
![](data:image/png;base64,{{ output.data['image/png'] }})
{%- endblock data_png -%}
-40
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@@ -1,40 +0,0 @@
import logging
from typing import Any, Dict
from mkdocs.structure.pages import Page
from mkdocs.structure.files import Files, File
from notebook_convert import convert_notebook
logger = logging.getLogger(__name__)
logging.basicConfig()
logger.setLevel(logging.INFO)
class NotebookFile(File):
def is_documentation_page(self):
return True
def on_files(files: Files, **kwargs: Dict[str, Any]):
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 on_page_markdown(markdown: str, page: Page, **kwargs: Dict[str, Any]):
if page.file.src_path.endswith(".ipynb"):
logger.info("Processing Jupyter notebook: %s", page.file.src_path)
body = convert_notebook(page.file.abs_src_path)
return body
return markdown
-214
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@@ -1,214 +0,0 @@
"""Preprocess notebooks for CI. Currently adds VCR cassettes and optionally removes pip install cells."""
import logging
import os
import json
import click
import nbformat
logger = logging.getLogger(__name__)
NOTEBOOK_DIRS = ("docs/docs/how-tos","docs/docs/tutorials")
DOCS_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
CASSETTES_PATH = os.path.join(DOCS_PATH, "cassettes")
BLOCKLIST_COMMANDS = (
# skip if has WebBaseLoader to avoid caching web pages
"WebBaseLoader",
# skip if has draw_mermaid_png to avoid generating mermaid images via API
"draw_mermaid_png",
)
NOTEBOOKS_NO_CASSETTES = (
"docs/docs/how-tos/visualization.ipynb",
"docs/docs/how-tos/many-tools.ipynb"
)
NOTEBOOKS_NO_EXECUTION = [
# this uses a user provided project name for langsmith
"docs/docs/tutorials/tnt-llm/tnt-llm.ipynb",
# this uses langsmith datasets
"docs/docs/tutorials/chatbot-simulation-evaluation/langsmith-agent-simulation-evaluation.ipynb",
# this uses browser APIs
"docs/docs/tutorials/web-navigation/web_voyager.ipynb",
# these RAG guides use an ollama model
"docs/docs/tutorials/rag/langgraph_adaptive_rag_local.ipynb",
"docs/docs/tutorials/rag/langgraph_crag_local.ipynb",
"docs/docs/tutorials/rag/langgraph_self_rag_local.ipynb",
# this loads a massive dataset from gcp
"docs/docs/tutorials/usaco/usaco.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/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
]
def comment_install_cells(notebook: nbformat.NotebookNode) -> nbformat.NotebookNode:
for cell in notebook.cells:
if cell.cell_type != "code":
continue
if "pip install" in cell.source:
# Comment out the lines in cells containing "pip install"
cell.source = "\n".join(
f"# {line}" if line.strip() else line
for line in cell.source.splitlines()
)
return notebook
def is_magic_command(code: str) -> bool:
return code.strip().startswith("%") or code.strip().startswith("!")
def is_comment(code: str) -> bool:
return code.strip().startswith("#")
def has_blocklisted_command(code: str, metadata: dict) -> bool:
if 'hide_from_vcr' in metadata:
return True
code = code.strip()
for blocklisted_pattern in BLOCKLIST_COMMANDS:
if blocklisted_pattern in code:
return True
return False
def add_vcr_to_notebook(
notebook: nbformat.NotebookNode, cassette_prefix: str
) -> nbformat.NotebookNode:
"""Inject `with vcr.cassette` into each code cell of the notebook."""
# Inject VCR context manager into each code cell
for idx, cell in enumerate(notebook.cells):
if cell.cell_type != "code":
continue
lines = cell.source.splitlines()
# skip if empty cell
if not lines:
continue
are_magic_lines = [is_magic_command(line) for line in lines]
# skip if all magic
if all(are_magic_lines):
continue
if any(are_magic_lines):
raise ValueError(
"Cannot process code cells with mixed magic and non-magic code."
)
# skip if just comments
if all(is_comment(line) or not line.strip() for line in lines):
continue
if has_blocklisted_command(cell.source, cell.metadata):
continue
cell_id = cell.get("id", idx)
cassette_name = f"{cassette_prefix}_{cell_id}.msgpack.zlib"
cell.source = f"with custom_vcr.use_cassette('{cassette_name}', filter_headers=['x-api-key', 'authorization'], record_mode='once', serializer='advanced_compressed'):\n" + "\n".join(
f" {line}" for line in lines
)
# Add import statement
vcr_import_lines = [
"import nest_asyncio",
"nest_asyncio.apply()",
"import vcr",
"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):",
" packed = msgpack.packb(data, use_bin_type=True)",
" compressed = zlib.compress(packed, level=compression_level)",
" return base64.b64encode(compressed).decode('utf-8')",
"",
"def decompress_data(compressed_string):",
" decoded = base64.b64decode(compressed_string)",
" decompressed = zlib.decompress(decoded)",
" return msgpack.unpackb(decompressed, raw=False)",
"",
"class AdvancedCompressedSerializer:",
" def serialize(self, cassette_dict):",
" return compress_data(cassette_dict)",
"",
" def deserialize(self, cassette_string):",
" return decompress_data(cassette_string)",
"",
"custom_vcr.register_serializer('advanced_compressed', AdvancedCompressedSerializer())",
"custom_vcr.serializer = 'advanced_compressed'",
]
import_cell = nbformat.v4.new_code_cell(source="\n".join(vcr_import_lines))
import_cell.pop("id", None)
notebook.cells.insert(0, import_cell)
return notebook
def process_notebooks(should_comment_install_cells: bool) -> None:
for directory in NOTEBOOK_DIRS:
for root, _, files in os.walk(directory):
for file in files:
if not file.endswith(".ipynb") or "ipynb_checkpoints" in root:
continue
notebook_path = os.path.join(root, file)
try:
notebook = nbformat.read(notebook_path, as_version=4)
if should_comment_install_cells:
notebook = comment_install_cells(notebook)
base_filename = os.path.splitext(os.path.basename(file))[0]
cassette_prefix = os.path.join(CASSETTES_PATH, base_filename)
if notebook_path not in NOTEBOOKS_NO_CASSETTES:
notebook = add_vcr_to_notebook(
notebook, cassette_prefix=cassette_prefix
)
if notebook_path in NOTEBOOKS_NO_EXECUTION:
# Add a cell at the beginning to indicate that this notebook should not be executed
warning_cell = nbformat.v4.new_markdown_cell(
source="**Warning:** This notebook is not meant to be executed automatically."
)
notebook.cells.insert(0, warning_cell)
# Add a special tag to the first code cell
if notebook.cells and notebook.cells[1].cell_type == "code":
notebook.cells[1].metadata["tags"] = notebook.cells[1].metadata.get("tags", []) + ["no_execution"]
nbformat.write(notebook, notebook_path)
logger.info(f"Processed: {notebook_path}")
except Exception as e:
logger.error(f"Error processing {notebook_path}: {e}")
with open(os.path.join(DOCS_PATH, "notebooks_no_execution.json"), "w") as f:
json.dump(NOTEBOOKS_NO_EXECUTION, f)
@click.command()
@click.option(
"--comment-install-cells",
is_flag=True,
default=False,
help="Whether to comment out install cells",
)
def main(comment_install_cells):
process_notebooks(should_comment_install_cells=comment_install_cells)
logger.info("All notebooks processed successfully.")
if __name__ == "__main__":
main()
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