diff --git a/.github/workflows/lint.yml b/.github/workflows/_lint.yml similarity index 65% rename from .github/workflows/lint.yml rename to .github/workflows/_lint.yml index 5f33a0cd1..d80d116bb 100644 --- a/.github/workflows/lint.yml +++ b/.github/workflows/_lint.yml @@ -1,9 +1,12 @@ name: lint on: - push: - branches: [main] - pull_request: + workflow_call: + inputs: + working-directory: + required: true + type: string + description: "From which folder this pipeline executes" env: POETRY_VERSION: "1.7.1" @@ -26,6 +29,7 @@ jobs: python-version: - "3.9" - "3.11" + name: "lint #${{ matrix.python-version }}" steps: - uses: actions/checkout@v4 @@ -34,14 +38,17 @@ jobs: with: python-version: ${{ matrix.python-version }} poetry-version: ${{ env.POETRY_VERSION }} + working-directory: ${{ inputs.working-directory }} cache-key: lint-with-extras - name: Check Poetry File shell: bash + working-directory: ${{ inputs.working-directory }} run: poetry check - name: Check lock file shell: bash + working-directory: ${{ inputs.working-directory }} run: poetry lock --check - name: Install dependencies @@ -53,7 +60,8 @@ jobs: # If you change this configuration, make sure to change the `cache-key` # in the `poetry_setup` action above to stop using the old cache. # It doesn't matter how you change it, any change will cause a cache-bust. - run: poetry install --with test + working-directory: ${{ inputs.working-directory }} + run: poetry install --with dev - name: Get .mypy_cache to speed up mypy uses: actions/cache@v3 @@ -61,12 +69,18 @@ jobs: SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2" with: path: | - ./.mypy_cache - key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ hashFiles('./poetry.lock') }} + ${{ inputs.working-directory }}/.mypy_cache + key: mypy-lint-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }} - - name: Analysing the code with our lint + - name: Analysing package code with our lint + working-directory: ${{ inputs.working-directory }} run: | - make lint_package + if make lint_package > /dev/null 2>&1; then + make lint_package + else + echo "lint_package command not found, using lint instead" + make lint + fi - name: Install test dependencies # Also installs dev/lint/test/typing dependencies, to ensure we have @@ -77,17 +91,24 @@ jobs: # If you change this configuration, make sure to change the `cache-key` # in the `poetry_setup` action above to stop using the old cache. # It doesn't matter how you change it, any change will cause a cache-bust. + working-directory: ${{ inputs.working-directory }} run: | - poetry install --with test + poetry install --with dev - name: Get .mypy_cache_test to speed up mypy uses: actions/cache@v3 env: SEGMENT_DOWNLOAD_TIMEOUT_MIN: "2" with: - path: ./.mypy_cache_test - key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ hashFiles('./poetry.lock') }} + path: | + ${{ inputs.working-directory }}/.mypy_cache_test + key: mypy-test-${{ runner.os }}-${{ runner.arch }}-py${{ matrix.python-version }}-${{ inputs.working-directory }}-${{ hashFiles(format('{0}/poetry.lock', inputs.working-directory)) }} - - name: Analysing the code with our lint + - name: Analysing tests with our lint + working-directory: ${{ inputs.working-directory }} run: | - make lint_tests + if make lint_tests > /dev/null 2>&1; then + make lint_tests + else + echo "lint_tests command not found, skipping step" + fi diff --git a/.github/workflows/test.yml b/.github/workflows/_test.yml similarity index 68% rename from .github/workflows/test.yml rename to .github/workflows/_test.yml index f060f1a02..31177dc14 100644 --- a/.github/workflows/test.yml +++ b/.github/workflows/_test.yml @@ -1,9 +1,12 @@ name: test on: - push: - branches: [main] - pull_request: + workflow_call: + inputs: + working-directory: + required: true + type: string + description: "From which folder this pipeline executes" env: POETRY_VERSION: "1.7.1" @@ -18,7 +21,7 @@ jobs: - "3.10" - "3.11" - "3.12" - name: Python ${{ matrix.python-version }} + name: "test #${{ matrix.python-version }}" steps: - uses: actions/checkout@v4 @@ -27,19 +30,23 @@ jobs: with: python-version: ${{ matrix.python-version }} poetry-version: ${{ env.POETRY_VERSION }} + working-directory: ${{ inputs.working-directory }} cache-key: core - name: Install dependencies shell: bash - run: poetry install --with test + working-directory: ${{ inputs.working-directory }} + run: poetry install --with dev - name: Run core tests shell: bash + working-directory: ${{ inputs.working-directory }} run: | make test - name: Ensure the tests did not create any additional files shell: bash + working-directory: ${{ inputs.working-directory }} run: | set -eu diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml new file mode 100644 index 000000000..baf705289 --- /dev/null +++ b/.github/workflows/ci.yml @@ -0,0 +1,101 @@ +--- + name: CI + + 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 + + env: + 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 + + 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: [build, lint, lint-js, 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 + \ No newline at end of file diff --git a/.github/workflows/deploy_docs.yml b/.github/workflows/deploy_docs.yml index a9de78976..29ebab7b9 100644 --- a/.github/workflows/deploy_docs.yml +++ b/.github/workflows/deploy_docs.yml @@ -9,6 +9,9 @@ on: - main workflow_dispatch: +env: + POETRY_VERSION: "1.7.1" + permissions: contents: read pages: write @@ -26,22 +29,17 @@ jobs: with: fetch-depth: 0 + - name: Set up Python + Poetry ${{ env.POETRY_VERSION }} + uses: "./.github/actions/poetry_setup" + with: + python-version: "3.12" + poetry-version: ${{ env.POETRY_VERSION }} + cache-key: docs + - name: Install dependencies run: | - pip install poetry poethepoet + poetry install --with docs - - name: Set up Python - uses: actions/setup-python@v4 - with: - python-version: 3.12 - cache: poetry - cache-dependency-path: "poetry.lock" - - - name: Poetry install - run: | - poetry install - poetry run pip install -r docs/docs-requirements.txt - - name: Build site run: make build-docs env: diff --git a/.github/workflows/extract_ignored_words_list.py b/.github/workflows/extract_ignored_words_list.py index bb949d14f..321899dd6 100644 --- a/.github/workflows/extract_ignored_words_list.py +++ b/.github/workflows/extract_ignored_words_list.py @@ -1,6 +1,6 @@ import toml -pyproject_toml = toml.load("pyproject.toml") +pyproject_toml = toml.load("libs/langgraph/pyproject.toml") # Extract the ignore words list (adjust the key as per your TOML structure) ignore_words_list = ( diff --git a/.github/workflows/link_check.yml b/.github/workflows/link_check.yml index f5c02f2c9..34143b902 100644 --- a/.github/workflows/link_check.yml +++ b/.github/workflows/link_check.yml @@ -46,7 +46,7 @@ jobs: - name: Install dependencies run: | python -m pip install --upgrade pip - poetry install --with test + poetry install --with docs poetry run pip install -U pytest pytest-check-links langsmith langchain GitPython # - name: Check links in notebooks diff --git a/.github/workflows/release.yml b/.github/workflows/release.yml index 5bb9dace2..22c70f269 100644 --- a/.github/workflows/release.yml +++ b/.github/workflows/release.yml @@ -119,7 +119,7 @@ jobs: poetry run python -c "import $IMPORT_NAME; print(dir($IMPORT_NAME))" - name: Import test dependencies - run: poetry install --with test + run: poetry install --with dev # Overwrite the local version of the package with the test PyPI version. - name: Import published package (again) @@ -133,7 +133,7 @@ jobs: "$PKG_NAME==$VERSION" - name: Run unit tests - run: make tests + run: make test publish: needs: diff --git a/Dockerfile b/Dockerfile deleted file mode 100644 index c8ccdc80d..000000000 --- a/Dockerfile +++ /dev/null @@ -1,12 +0,0 @@ -FROM python:3.9 - -# Set the working directory to /app -WORKDIR /app - -# Copy the current directory contents into the container at /app -COPY . . - -# Install any needed packages specified in requirements.txt -RUN pip install poetry && poetry config virtualenvs.create false && poetry install --with test - -RUN poetry run pytest diff --git a/LICENSE b/LICENSE index 395773867..fc0602fee 100644 --- a/LICENSE +++ b/LICENSE @@ -1,6 +1,6 @@ MIT License -Copyright (c) LangChain, Inc. +Copyright (c) 2024 LangChain, Inc. Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal diff --git a/Makefile b/Makefile index 3b2ae1774..5d88e53af 100644 --- a/Makefile +++ b/Makefile @@ -1,90 +1,17 @@ -.PHONY: all clean format lint test tests test_watch integration_tests docker_tests help extended_tests coverage spell_check spell_fix build-docs serve-docs serve-clean-docs clean-docs - -# Default target executed when no arguments are given to make. -all: help - -###################### -# TESTING AND COVERAGE -###################### - -# Run unit tests and generate a coverage report. -coverage: - poetry run pytest --cov \ - --cov-config=.coveragerc \ - --cov-report xml \ - --cov-report term-missing:skip-covered - -test: - poetry run pytest - -test_watch: - poetry run ptw . - -###################### -# LINTING AND FORMATTING -###################### - -# Define a variable for Python and notebook files. -PYTHON_FILES=. -MYPY_CACHE=.mypy_cache -lint format: PYTHON_FILES=. -lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --diff-filter=d master | grep -E '\.py$$|\.ipynb$$') -lint_package: PYTHON_FILES=langgraph -lint_tests: PYTHON_FILES=tests -lint_tests: MYPY_CACHE=.mypy_cache_test - -lint lint_diff lint_package lint_tests: - poetry run ruff . - [ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff - [ "$(PYTHON_FILES)" = "" ] || poetry run ruff --select I $(PYTHON_FILES) - [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) - -format format_diff: - poetry run ruff format $(PYTHON_FILES) - poetry run ruff --select I --fix $(PYTHON_FILES) - -spell_check: - poetry run codespell --toml pyproject.toml - -spell_fix: - poetry run codespell --toml pyproject.toml -w +.PHONY: build-docs serve-docs serve-clean-docs clean-docs build-docs: poetry run python docs/_scripts/copy_notebooks.py - poetry run mkdocs build --clean -f docs/mkdocs.yml --strict + 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 ./langgraph + poetry run python -m mkdocs serve -c -f docs/mkdocs.yml --strict -w ./libs/langgraph serve-docs: poetry run python docs/_scripts/copy_notebooks.py - poetry run python -m mkdocs serve -f docs/mkdocs.yml -w ./langgraph --dirty + 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 - - -###################### -# HELP -###################### - -help: - @echo '====================' - @echo '-- DOCUMENTATION --' - - @echo '-- LINTING --' - @echo 'format - run code formatters' - @echo 'lint - run linters' - @echo 'spell_check - run codespell on the project' - @echo 'spell_fix - run codespell on the project and fix the errors' - @echo '-- TESTS --' - @echo 'coverage - run unit tests and generate coverage report' - @echo 'test - run unit tests' - @echo 'tests - run unit tests (alias for "make test")' - @echo 'test TEST_FILE= - run all tests in file' - @echo 'extended_tests - run only extended unit tests' - @echo 'test_watch - run unit tests in watch mode' - @echo 'integration_tests - run integration tests' - @echo 'docker_tests - run unit tests in docker' + rm -rf docs/site \ No newline at end of file diff --git a/docs/docs-requirements.txt b/docs/docs-requirements.txt deleted file mode 100644 index 1fdbcfe5a..000000000 --- a/docs/docs-requirements.txt +++ /dev/null @@ -1,9 +0,0 @@ -mkdocs -mkdocstrings -mkdocstrings-python -mkdocs-jupyter -mkdocs-redirects -mkdocs-minify-plugin -mkdocs-rss-plugin -mkdocs-git-committers-plugin-2 -mkdocs-material[imaging] \ No newline at end of file diff --git a/libs/cli/LICENSE b/libs/cli/LICENSE new file mode 100644 index 000000000..fc0602fee --- /dev/null +++ b/libs/cli/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024 LangChain, Inc. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/libs/cli/Makefile b/libs/cli/Makefile new file mode 100644 index 000000000..680c8f53c --- /dev/null +++ b/libs/cli/Makefile @@ -0,0 +1,31 @@ +.PHONY: test lint format + +###################### +# TESTING AND COVERAGE +###################### + +test: + poetry run pytest tests + +###################### +# LINTING AND FORMATTING +###################### + +# Define a variable for Python and notebook files. +PYTHON_FILES=. +MYPY_CACHE=.mypy_cache +lint format: PYTHON_FILES=. +lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$') +lint_package: PYTHON_FILES=langgraph_cli +lint_tests: PYTHON_FILES=tests +lint_tests: MYPY_CACHE=.mypy_cache_test + +lint lint_diff lint_package lint_tests: + poetry run ruff . + [ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff + [ "$(PYTHON_FILES)" = "" ] || poetry run ruff --select I $(PYTHON_FILES) + [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) + +format format_diff: + poetry run ruff format $(PYTHON_FILES) + poetry run ruff --select I --fix $(PYTHON_FILES) \ No newline at end of file diff --git a/libs/cli/README.md b/libs/cli/README.md new file mode 100644 index 000000000..b65ad64ac --- /dev/null +++ b/libs/cli/README.md @@ -0,0 +1,3 @@ +# langchain-cli + +This package implements the official CLI for LangGraph API. \ No newline at end of file diff --git a/langgraph/_api/__init__.py b/libs/cli/langgraph_cli/__init__.py similarity index 100% rename from langgraph/_api/__init__.py rename to libs/cli/langgraph_cli/__init__.py diff --git a/libs/cli/langgraph_cli/cli.py b/libs/cli/langgraph_cli/cli.py new file mode 100644 index 000000000..cc4cd6b73 --- /dev/null +++ b/libs/cli/langgraph_cli/cli.py @@ -0,0 +1,562 @@ +import json +import pathlib +import shutil +import sys +from typing import Optional + +import click +import click.exceptions + +import langgraph_cli.config +import langgraph_cli.docker +from langgraph_cli.config import Config +from langgraph_cli.docker import DockerCapabilities +from langgraph_cli.exec import Runner, subp_exec +from langgraph_cli.progress import Progress +from langgraph_cli.util import clean_empty_lines + +OPT_DOCKER_COMPOSE = click.option( + "--docker-compose", + "-d", + help="Advanced: Path to docker-compose.yml file with additional services to launch", + type=click.Path( + exists=True, + file_okay=True, + dir_okay=False, + resolve_path=True, + path_type=pathlib.Path, + ), +) +OPT_CONFIG = click.option( + "--config", + "-c", + help="""Path to configuration file declaring dependencies, graphs and environment variables. + + \b + Config file must be a JSON file that has the following keys: + - "dependencies": array of dependencies for langgraph API server. Dependencies can be one of the following: + - ".", which would look for local python packages, as well as pyproject.toml, setup.py or requirements.txt in the app directory + - "./local_package" + - " + - "graphs": mapping from graph ID to path where the compiled graph is defined, i.e. ./your_package/your_file.py:variable, where + "variable" is an instance of langgraph.graph.graph.CompiledGraph + - "env": (optional) path to .env file or a mapping from environment variable to its value + - "python_version": (optional) 3.11 or 3.12. Defaults to 3.11 + - "pip_config_file": (optional) path to pip config file + - "dockerfile_lines": (optional) array of additional lines to add to Dockerfile following the import from parent image + + \b + Example: + langgraph up -c langgraph.json + + \b + Example: + { + "dependencies": [ + "langchain_openai", + "./your_package" + ], + "graphs": { + "my_graph_id": "./your_package/your_file.py:variable" + }, + "env": "./.env" + } + + \b + Example: + { + "python_version": "3.11", + "dependencies": [ + "langchain_openai", + "." + ], + "graphs": { + "my_graph_id": "./your_package/your_file.py:variable" + }, + "env": { + "OPENAI_API_KEY": "secret-key" + } + } + + Defaults to looking for langgraph.json in the current directory.""", + default="langgraph.json", + type=click.Path( + exists=True, + file_okay=True, + dir_okay=False, + resolve_path=True, + path_type=pathlib.Path, + ), +) +OPT_PORT = click.option( + "--port", + "-p", + type=int, + default=8123, + show_default=True, + help=""" + Port to expose. + + \b + Example: + langgraph up --port 8000 + \b + """, +) +OPT_RECREATE = click.option( + "--recreate/--no-recreate", + default=False, + show_default=True, + help="Recreate containers even if their configuration and image haven't changed", +) +OPT_PULL = click.option( + "--pull/--no-pull", + default=True, + show_default=True, + help=""" + Pull latest images. Use --no-pull for running the server with locally-built images. + + \b + Example: + langgraph up --no-pull + \b + """, +) +OPT_VERBOSE = click.option( + "--verbose", + is_flag=True, + default=False, + help="Show more output from the server logs", +) +OPT_WATCH = click.option("--watch", is_flag=True, help="Restart on file changes") +OPT_LANGGRAPH_API_PATH = click.option( + "--langgraph-api-path", + type=click.Path(exists=True, file_okay=False, dir_okay=True, resolve_path=True), + hidden=True, +) +OPT_DEBUGGER_PORT = click.option( + "--debugger-port", + type=int, + help="Pull the debugger image locally and serve the UI on specified port", +) +OPT_POSTGRES_URI = click.option( + "--postgres-uri", + help="Postgres URI to use for the database. Defaults to launching a local database", +) + + +@click.group() +def cli(): + pass + + +@OPT_RECREATE +@OPT_PULL +@OPT_PORT +@OPT_DOCKER_COMPOSE +@OPT_CONFIG +@OPT_VERBOSE +@OPT_DEBUGGER_PORT +@OPT_WATCH +@OPT_LANGGRAPH_API_PATH +@OPT_POSTGRES_URI +@click.option( + "--wait", + is_flag=True, + help="Wait for services to start before returning. Implies --detach", +) +@cli.command(help="Start langgraph API server") +def up( + config: pathlib.Path, + docker_compose: Optional[pathlib.Path], + port: int, + recreate: bool, + pull: bool, + watch: bool, + langgraph_api_path: Optional[pathlib.Path], + wait: bool, + verbose: bool, + debugger_port: Optional[int], + postgres_uri: Optional[str], +): + with Runner() as runner, Progress(message="Pulling...") as set: + capabilities = langgraph_cli.docker.check_capabilities(runner) + args, stdin = prepare( + runner, + capabilities=capabilities, + config_path=config, + docker_compose=docker_compose, + port=port, + pull=pull, + watch=watch, + langgraph_api_path=langgraph_api_path, + verbose=verbose, + debugger_port=debugger_port, + postgres_uri=postgres_uri, + ) + # add up + options + args.extend(["up", "--remove-orphans"]) + if recreate: + args.extend(["--force-recreate", "--renew-anon-volumes"]) + shutil.rmtree(config.parent / ".langgraph-data", ignore_errors=True) + try: + runner.run(subp_exec("docker", "volume", "rm", "langgraph-data")) + except click.exceptions.Exit: + pass + if watch: + args.append("--watch") + if wait: + args.append("--wait") + else: + args.append("--abort-on-container-exit") + # run docker compose + set("Building...") + + def on_stdout(line: str): + if "unpacking to docker.io" in line: + set("Starting...") + elif "GET /ok" in line: + debugger_origin = ( + f"http://localhost:{debugger_port}" + if debugger_port + else "https://smith.langchain.com" + ) + set("") + sys.stdout.write( + f"""Ready! +- API: http://localhost:{port} +- Docs: http://localhost:{port}/docs +- Debugger: {debugger_origin}/studio/?baseUrl=http://127.0.0.1:{port} +""" + ) + sys.stdout.flush() + return True + + if capabilities.compose_type == "plugin": + compose_cmd = ["docker", "compose"] + elif capabilities.compose_type == "standalone": + compose_cmd = ["docker-compose"] + + runner.run( + subp_exec( + *compose_cmd, + *args, + input=stdin, + verbose=verbose, + on_stdout=on_stdout, + ) + ) + + +@OPT_PORT +@OPT_DOCKER_COMPOSE +@OPT_CONFIG +@OPT_VERBOSE +@OPT_DEBUGGER_PORT +@cli.command(help="Stop langgraph API server") +def down( + config: pathlib.Path, + docker_compose: Optional[pathlib.Path], + port: int, + verbose: bool, + debugger_port: Optional[int], +): + with Runner() as runner: + capabilities = langgraph_cli.docker.check_capabilities(runner) + args, stdin = prepare( + runner, + capabilities=capabilities, + config_path=config, + docker_compose=docker_compose, + port=port, + pull=False, + watch=False, + langgraph_api_path=None, + verbose=verbose, + debugger_port=debugger_port, + ) + # add down + options + args.append("down") + # run docker compose + if capabilities.compose_type == "plugin": + compose_cmd = ["docker", "compose"] + elif capabilities.compose_type == "standalone": + compose_cmd = ["docker-compose"] + + runner.run(subp_exec(*compose_cmd, *args, input=stdin, verbose=verbose)) + + +@OPT_DOCKER_COMPOSE +@OPT_CONFIG +@click.option("--follow", "-f", is_flag=True, help="Follow logs") +@cli.command(help="Show langgraph API server logs") +def logs( + config: pathlib.Path, + docker_compose: Optional[pathlib.Path], + follow: bool, +): + with Runner() as runner: + capabilities = langgraph_cli.docker.check_capabilities(runner) + args, stdin = prepare( + runner, + capabilities=capabilities, + config_path=config, + docker_compose=docker_compose, + port=8123, + pull=False, + watch=False, + verbose=False, + langgraph_api_path=None, + ) + # add logs + options + args.append("logs") + if follow: + args.extend(["-f"]) + # run docker compose + if capabilities.compose_type == "plugin": + compose_cmd = ["docker", "compose"] + elif capabilities.compose_type == "standalone": + compose_cmd = ["docker-compose"] + + runner.run(subp_exec(*compose_cmd, *args, input=stdin, verbose=True)) + + +@OPT_CONFIG +@OPT_PULL +@click.option( + "--tag", + "-t", + help="""Tag for the docker image. + + \b + Example: + langgraph build -t my-image + + \b + """, + required=True, +) +@click.option( + "--platform", + help="""Target platform(s) to build the docker image for. + + \b + Example: + langgraph build --platform linux/amd64,linux/arm64 + \b + """, +) +@cli.command(help="Build langgraph API server docker image") +def build( + config: pathlib.Path, + platform: Optional[str], + pull: bool, + tag: str, +): + with open(config) as f: + config_json = langgraph_cli.config.validate_config(json.load(f)) + with Runner() as runner: + # check docker available + langgraph_cli.docker.check_capabilities(runner) + # pull latest images + if pull: + runner.run( + subp_exec( + "docker", + "pull", + f"langchain/langgraph-api:{config_json['python_version']}", + ) + ) + # apply options + args = [ + "-f", + "-", # stdin + "-t", + tag, + ] + if platform: + args.extend(["--platform", platform]) + # apply config + stdin = langgraph_cli.config.config_to_docker(config, config_json) + # run docker build + runner.run( + subp_exec( + "docker", "build", *args, str(config.parent), input=stdin, verbose=True + ) + ) + + +@cli.group(help="Export langgraph compose files") +def export(): + pass + + +@click.option( + "--output", + "-o", + help="Output path to write the docker compose file to", + type=click.Path( + exists=False, + file_okay=True, + dir_okay=False, + resolve_path=True, + path_type=pathlib.Path, + ), + required=True, +) +@OPT_CONFIG +@OPT_PORT +@OPT_WATCH +@OPT_LANGGRAPH_API_PATH +@export.command(name="compose", help="Export docker compose file") +def export_compose( + output: pathlib.Path, + config: pathlib.Path, + port: int, + watch: bool, + langgraph_api_path: Optional[pathlib.Path], +): + with Runner() as runner: + capabilities = langgraph_cli.docker.check_capabilities(runner) + _, stdin = prepare( + runner, + capabilities=capabilities, + config_path=config, + docker_compose=None, + pull=False, + watch=watch, + langgraph_api_path=langgraph_api_path, + port=port, + verbose=False, + ) + + with open(output, "w") as f: + f.write(clean_empty_lines(stdin)) + + +@click.option( + "--output", + "-o", + help="Output path (directory) to write the helm chart to", + type=click.Path( + exists=False, + file_okay=False, + dir_okay=True, + resolve_path=True, + path_type=pathlib.Path, + ), + required=True, +) +@OPT_PORT +@OPT_DOCKER_COMPOSE +@OPT_CONFIG +@export.command( + name="helm", + help="Build and export a helm chart to deploy to a Kubernetes cluster", + hidden=True, +) +def export_helm( + output: pathlib.Path, + config: pathlib.Path, + docker_compose: Optional[pathlib.Path], + port: int, +): + with open(config) as f: + config_json = langgraph_cli.config.validate_config(json.load(f)) + + with Runner() as runner: + # check docker available + capabilities = langgraph_cli.docker.check_capabilities(runner) + # prepare args + stdin = langgraph_cli.docker.compose(capabilities, port=port) + args = [ + "convert", + "--chart", + "-o", + str(output), + "-v", + ] + # apply options + if docker_compose: + args.extend(["-f", str(docker_compose)]) + + args.extend(["-f", "-"]) # stdin + # apply config + stdin += langgraph_cli.config.config_to_compose(config, config_json) + # run kompose convert + runner.run(subp_exec("kompose", *args, input=stdin)) + + +def prepare_args_and_stdin( + *, + capabilities: DockerCapabilities, + config_path: pathlib.Path, + config: Config, + docker_compose: Optional[pathlib.Path], + port: int, + watch: bool, + langgraph_api_path: Optional[pathlib.Path], + debugger_port: Optional[int] = None, + postgres_uri: Optional[str] = None, +): + # prepare args + stdin = langgraph_cli.docker.compose( + capabilities, + port=port, + debugger_port=debugger_port, + postgres_uri=postgres_uri, + ) + args = [ + "--project-directory", + str(config_path.parent), + ] + # apply options + if docker_compose: + args.extend(["-f", str(docker_compose)]) + args.extend(["-f", "-"]) # stdin + # apply config + stdin += langgraph_cli.config.config_to_compose( + config_path, config, watch=watch, langgraph_api_path=langgraph_api_path + ) + return args, stdin + + +def prepare( + runner, + *, + capabilities: DockerCapabilities, + config_path: pathlib.Path, + docker_compose: Optional[pathlib.Path], + port: int, + pull: bool, + watch: bool, + langgraph_api_path: Optional[pathlib.Path], + verbose: bool, + debugger_port: Optional[int] = None, + postgres_uri: Optional[str] = None, +): + with open(config_path) as f: + config = langgraph_cli.config.validate_config(json.load(f)) + # pull latest images + if pull: + runner.run( + subp_exec( + "docker", + "pull", + f"langchain/langgraph-api:{config['python_version']}", + verbose=verbose, + ) + ) + + args, stdin = prepare_args_and_stdin( + capabilities=capabilities, + config_path=config_path, + config=config, + docker_compose=docker_compose, + port=port, + watch=watch, + langgraph_api_path=langgraph_api_path, + debugger_port=debugger_port, + postgres_uri=postgres_uri, + ) + return args, stdin diff --git a/libs/cli/langgraph_cli/config.py b/libs/cli/langgraph_cli/config.py new file mode 100644 index 000000000..47ba78756 --- /dev/null +++ b/libs/cli/langgraph_cli/config.py @@ -0,0 +1,306 @@ +import json +import os +import pathlib +import textwrap +from typing import NamedTuple, Optional, TypedDict, Union + +import click + + +class Config(TypedDict): + python_version: str + pip_config_file: Optional[str] + dockerfile_lines: list[str] + dependencies: list[str] + graphs: dict[str, str] + env: Union[dict[str, str], str] + + +def validate_config(config: Config) -> Config: + config = { + "python_version": config.get("python_version", "3.11"), + "pip_config_file": config.get("pip_config_file"), + "dockerfile_lines": config.get("dockerfile_lines", []), + "dependencies": config.get("dependencies", []), + "graphs": config.get("graphs", {}), + "env": config.get("env", {}), + } + if config["python_version"] not in ( + "3.11", + "3.12", + ): + raise click.UsageError( + f"Unsupported Python version: {config['python_version']}. " + "Supported versions are 3.11 and 3.12." + ) + if not config["dependencies"]: + raise click.UsageError( + "No dependencies found in config. " + "Add at least one dependency to 'dependencies' list." + ) + if not config["graphs"]: + raise click.UsageError( + "No graphs found in config. " + "Add at least one graph to 'graphs' dictionary." + ) + return config + + +class LocalDeps(NamedTuple): + pip_reqs: list[tuple[pathlib.Path, str]] + real_pkgs: dict[pathlib.Path, str] + faux_pkgs: dict[pathlib.Path, tuple[str, str]] + # if . is in dependencies, use it as working_dir + working_dir: Optional[str] = None + + +def _assemble_local_deps(config_path: pathlib.Path, config: Config) -> LocalDeps: + # ensure reserved package names are not used + reserved = { + "src", + "langgraph-api", + "langgraph_api", + "langgraph", + "langchain-core", + "langchain_core", + "pydantic", + "orjson", + "fastapi", + "uvicorn", + "psycopg", + "httpx", + "langsmith", + } + + def check_reserved(name: str, ref: str): + if name in reserved: + raise ValueError( + f"Package name '{name}' used in local dep '{ref}' is reserved. " + "Rename the directory." + ) + reserved.add(name) + + pip_reqs = [] + real_pkgs = {} + faux_pkgs = {} + working_dir = None + + for local_dep in config["dependencies"]: + if not local_dep.startswith("."): + continue + + resolved = config_path.parent / local_dep + + # validate local dependency + if not resolved.exists(): + raise FileNotFoundError(f"Could not find local dependency: {resolved}") + elif not resolved.is_dir(): + raise NotADirectoryError( + f"Local dependency must be a directory: {resolved}" + ) + elif not resolved.is_relative_to(config_path.parent): + raise ValueError( + f"Local dependency '{resolved}' must be a subdirectory of '{config_path.parent}'" + ) + + # if it's installable, add it to local_pkgs + # otherwise, add it to faux_pkgs, and create a pyproject.toml + files = os.listdir(resolved) + if "pyproject.toml" in files: + real_pkgs[resolved] = local_dep + if local_dep == ".": + working_dir = f"/deps/{resolved.name}" + elif "setup.py" in files: + real_pkgs[resolved] = local_dep + if local_dep == ".": + working_dir = f"/deps/{resolved.name}" + else: + if any(file == "__init__.py" for file in files): + # flat layout + if "-" in resolved.name: + raise ValueError( + f"Package name '{resolved.name}' contains a hyphen. " + "Rename the directory to use it as flat-layout package." + ) + check_reserved(resolved.name, local_dep) + container_path = f"/deps/__outer_{resolved.name}/{resolved.name}" + else: + # src layout + container_path = f"/deps/__outer_{resolved.name}/src" + for file in files: + rfile = resolved / file + if ( + rfile.is_dir() + and file != "__pycache__" + and not file.startswith(".") + ): + try: + for subfile in os.listdir(rfile): + if subfile.endswith(".py"): + check_reserved(file, local_dep) + break + except PermissionError: + pass + faux_pkgs[resolved] = (local_dep, container_path) + if local_dep == ".": + working_dir = container_path + if "requirements.txt" in files: + rfile = resolved / "requirements.txt" + pip_reqs.append( + ( + rfile.relative_to(config_path.parent), + f"{container_path}/requirements.txt", + ) + ) + + return LocalDeps(pip_reqs, real_pkgs, faux_pkgs, working_dir) + + +def _update_graph_paths( + config_path: pathlib.Path, config: Config, local_deps: LocalDeps +) -> None: + for graph_id, import_str in config["graphs"].items(): + module_str, _, attr_str = import_str.partition(":") + if not module_str or not attr_str: + message = ( + 'Import string "{import_str}" must be in format ":".' + ) + raise ValueError(message.format(import_str=import_str)) + if "/" in module_str: + resolved = config_path.parent / module_str + if not resolved.exists(): + raise FileNotFoundError(f"Could not find local module: {resolved}") + elif not resolved.is_file(): + raise IsADirectoryError(f"Local module must be a file: {resolved}") + else: + for path in local_deps.real_pkgs: + if resolved.is_relative_to(path): + module_str = f"/deps/{path.name}/{resolved.relative_to(path)}" + break + else: + for faux_pkg, (_, destpath) in local_deps.faux_pkgs.items(): + if resolved.is_relative_to(faux_pkg): + module_str = f"{destpath}/{resolved.relative_to(faux_pkg)}" + break + else: + raise ValueError( + f"Module '{import_str}' not found in 'dependencies' list. " + "Add its containing package to 'dependencies' list." + ) + # update the config + config["graphs"][graph_id] = f"{module_str}:{attr_str}" + + +def config_to_docker(config_path: pathlib.Path, config: Config): + # configure pip + pip_install = "pip install -c /api/constraints.txt" + if config.get("pip_config_file"): + pip_install = f"PIP_CONFIG_FILE=/pipconfig.txt {pip_install}" + pip_config_file_str = ( + f"ADD {config['pip_config_file']} /pipconfig.txt" + if config.get("pip_config_file") + else "" + ) + + # collect dependencies + pypi_deps = [dep for dep in config["dependencies"] if not dep.startswith(".")] + local_deps = _assemble_local_deps(config_path, config) + + # rewrite graph paths + _update_graph_paths(config_path, config, local_deps) + + pip_pkgs_str = f"RUN {pip_install} {' '.join(pypi_deps)}" if pypi_deps else "" + if local_deps.pip_reqs: + pip_reqs_str = os.linesep.join( + f"ADD {reqpath} {destpath}" for reqpath, destpath in local_deps.pip_reqs + ) + pip_reqs_str += f'{os.linesep}RUN {pip_install} {" ".join("-r " + r for _,r in local_deps.pip_reqs)}' + + else: + pip_reqs_str = "" + + # https://setuptools.pypa.io/en/latest/userguide/datafiles.html#package-data + # https://til.simonwillison.net/python/pyproject + faux_pkgs_str = f"{os.linesep}{os.linesep}".join( + f"""ADD {relpath} {destpath} +COPY < Version: + parts = version.split(".", 2) + if len(parts) == 1: + major = parts[0] + minor = "0" + patch = "0" + elif len(parts) == 2: + major, minor = parts + patch = "0" + else: + major, minor, patch = parts + return Version(int(major.lstrip("v")), int(minor), int(patch.split("-")[0])) + + +def check_capabilities(runner) -> DockerCapabilities: + # check docker available + if shutil.which("docker") is None: + raise click.UsageError("Docker not installed") from None + + try: + stdout, _ = runner.run(subp_exec("docker", "info", "-f", "json", collect=True)) + info = json.loads(stdout) + except (click.exceptions.Exit, json.JSONDecodeError): + raise click.UsageError("Docker not installed or not running") from None + + if not info["ServerVersion"]: + raise click.UsageError("Docker not running") from None + + compose_type: DockerComposeType + try: + compose = next( + p for p in info["ClientInfo"]["Plugins"] if p["Name"] == "compose" + ) + compose_type = "plugin" + except (KeyError, StopIteration): + if shutil.which("docker-compose") is None: + raise click.UsageError("Docker Compose not installed") from None + + compose_type = "standalone" + + # parse versions + docker_version = _parse_version(info["ServerVersion"]) + compose_version = _parse_version(compose["Version"]) + + # check capabilities + return DockerCapabilities( + version_docker=docker_version, + version_compose=compose_version, + healthcheck_start_interval=docker_version >= Version(25, 0, 0), + compose_type=compose_type, + ) + + +def compose( + capabilities: DockerCapabilities, + *, + port: int, + debugger_port: Optional[int] = None, + # postgres://user:password@host:port/database?option=value + postgres_uri: Optional[str] = None, +) -> str: + if postgres_uri is None: + include_db = True + postgres_uri = DEFAULT_POSTGRES_URI + else: + include_db = False + + db = DB.format() if include_db else "" + volumes = ( + """volumes: + langgraph-data: + driver: local +""" + if include_db + else "" + ) + if db: + if capabilities.healthcheck_start_interval: + db += """ + interval: 60s + start_interval: 1s""" + else: + db += """ + interval: 5s""" + + compose_str = f"""{volumes}services: +{db} +{DEBUGGER.format(debugger_port=debugger_port) if debugger_port else ""} + langgraph-api: + ports: + - "{port}:8000\"""" + if include_db: + compose_str += """ + depends_on: + langgraph-postgres: + condition: service_healthy""" + compose_str += f""" + environment: + POSTGRES_URI: {postgres_uri} +""" + if capabilities.healthcheck_start_interval: + compose_str += """ healthcheck: + test: python /api/healthcheck.py + interval: 60s + start_interval: 1s + start_period: 10s""" + + return compose_str diff --git a/libs/cli/langgraph_cli/exec.py b/libs/cli/langgraph_cli/exec.py new file mode 100644 index 000000000..e165b9e86 --- /dev/null +++ b/libs/cli/langgraph_cli/exec.py @@ -0,0 +1,140 @@ +import asyncio +import os +import signal +import sys +from contextlib import contextmanager +from typing import Callable, Optional, cast + +import click.exceptions + + +@contextmanager +def Runner(): + if hasattr(asyncio, "Runner"): + with asyncio.Runner() as runner: + yield runner + else: + + class _Runner: + def __enter__(self): + return self + + def __exit__(self, *args): + pass + + def run(self, coro): + asyncio.run(coro) + + yield _Runner() + + +async def subp_exec( + cmd: str, + *args: str, + input: Optional[str] = None, + wait: Optional[float] = None, + verbose: bool = False, + collect: bool = False, + on_stdout: Optional[Callable[[str], Optional[bool]]] = None, +) -> tuple[Optional[str], Optional[str]]: + if verbose: + cmd_str = f"+ {cmd} {' '.join(map(str, args))}" + if input: + print(cmd_str, " <\n", "\n".join(filter(None, input.splitlines())), sep="") + else: + print(cmd_str) + if wait: + await asyncio.sleep(wait) + + try: + proc = await asyncio.create_subprocess_exec( + cmd, + *args, + stdin=asyncio.subprocess.PIPE if input else None, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.PIPE, + ) + + def signal_handler(): + # make sure process exists, then terminate it + if proc.returncode is None: + proc.terminate() + + loop = asyncio.get_event_loop() + loop.add_signal_handler(signal.SIGINT, signal_handler) + loop.add_signal_handler(signal.SIGTERM, signal_handler) + + empty_fut: asyncio.Future = asyncio.Future() + empty_fut.set_result(None) + stdout, stderr, _ = await asyncio.gather( + monitor_stream( + cast(asyncio.StreamReader, proc.stdout), + collect=True, + display=verbose, + on_line=on_stdout, + ), + monitor_stream( + cast(asyncio.StreamReader, proc.stderr), + collect=True, + display=verbose, + ), + proc._feed_stdin(input.encode()) if input else empty_fut, # type: ignore[attr-defined] + ) + returncode = await proc.wait() + if ( + returncode is not None + and returncode != 0 # success + and returncode != 130 # user interrupt + ): + sys.stdout.write(stdout.decode() if stdout else "") + sys.stderr.write(stderr.decode() if stderr else "") + raise click.exceptions.Exit(returncode) + if collect: + return ( + stdout.decode() if stdout else None, + stderr.decode() if stderr else None, + ) + else: + return None, None + finally: + try: + if proc.returncode is None: + try: + os.killpg(os.getpgid(proc.pid), signal.SIGINT) + except (ProcessLookupError, KeyboardInterrupt): + pass + + loop.remove_signal_handler(signal.SIGINT) + loop.remove_signal_handler(signal.SIGTERM) + except UnboundLocalError: + pass + + +async def monitor_stream( + stream: asyncio.StreamReader, + collect: bool = False, + display: bool = False, + on_line: Optional[Callable[[str], Optional[bool]]] = None, +) -> Optional[bytearray]: + if collect: + ba = bytearray() + + def handle(line: bytes): + nonlocal on_line + nonlocal display + + if collect: + ba.extend(line) + if display: + sys.stdout.write(line.decode()) + if on_line: + if on_line(line.decode()): + on_line = None + display = True + + async for line in stream: + await asyncio.to_thread(handle, line) + if collect: + return ba + else: + return None diff --git a/libs/cli/langgraph_cli/progress.py b/libs/cli/langgraph_cli/progress.py new file mode 100644 index 000000000..38154f1b9 --- /dev/null +++ b/libs/cli/langgraph_cli/progress.py @@ -0,0 +1,64 @@ +import sys +import threading +import time +from typing import Callable + + +class Progress: + delay: float = 0.1 + + @staticmethod + def spinning_cursor(): + while True: + yield from "|/-\\" + + def __init__(self, *, message=""): + self.message = message + self.spinner_generator = self.spinning_cursor() + + def spinner_iteration(self): + message = self.message + sys.stdout.write(next(self.spinner_generator) + " " + message) + sys.stdout.flush() + time.sleep(self.delay) + # clear the spinner and message + sys.stdout.write( + "\b" * (len(message) + 2) + + " " * (len(message) + 2) + + "\b" * (len(message) + 2) + ) + sys.stdout.flush() + + def spinner_task(self): + while self.message: + message = self.message + sys.stdout.write(next(self.spinner_generator) + " " + message) + sys.stdout.flush() + time.sleep(self.delay) + # clear the spinner and message + sys.stdout.write( + "\b" * (len(message) + 2) + + " " * (len(message) + 2) + + "\b" * (len(message) + 2) + ) + sys.stdout.flush() + + def __enter__(self) -> Callable[[str], None]: + self.thread = threading.Thread(target=self.spinner_task) + self.thread.start() + + def set_message(message): + self.message = message + if not message: + self.thread.join() + + return set_message + + def __exit__(self, exception, value, tb): + self.message = "" + try: + self.thread.join() + finally: + del self.thread + 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b/libs/cli/pyproject.toml @@ -0,0 +1,53 @@ +[tool.poetry] +name = "langgraph-cli" +version = "0.1.37" +description = "CLI for interacting with LangGraph API" +authors = ["Nuno Campos "] +readme = "README.md" +packages = [{include = "langgraph_cli"}] + +[tool.poetry.scripts] +langgraph = "langgraph_cli.cli:cli" + +[tool.poetry.dependencies] +python = "^3.9.0,<4.0" +click = "^8.1.7" + +[tool.poetry.group.dev.dependencies] +ruff = "^0.1.4" +codespell = "^2.2.0" +pytest = "^7.2.1" +pytest-asyncio = "^0.21.1" +pytest-mock = "^3.11.1" +pytest-watch = "^4.2.0" +mypy = "^1.10.0" + +[tool.pytest.ini_options] +# --strict-markers will raise errors on unknown marks. +# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks +# +# https://docs.pytest.org/en/7.1.x/reference/reference.html +# --strict-config any warnings encountered while parsing the `pytest` +# section of the configuration file raise errors. +addopts = "--strict-markers --strict-config --durations=5 -vv" +asyncio_mode = "auto" + + +[build-system] +requires = ["poetry-core"] +build-backend = "poetry.core.masonry.api" + +[tool.ruff] +select = [ + # pycodestyle + "E", + # Pyflakes + "F", + # pyupgrade + "UP", + # flake8-bugbear + "B", + # isort + "I", +] +ignore = [ "E501", "B008" ] diff --git a/langgraph/serde/__init__.py b/libs/cli/tests/__init__.py similarity index 100% rename from langgraph/serde/__init__.py rename to libs/cli/tests/__init__.py diff --git a/tests/__init__.py b/libs/cli/tests/unit_tests/__init__.py similarity index 100% rename from tests/__init__.py rename to libs/cli/tests/unit_tests/__init__.py diff --git a/langgraph/py.typed b/libs/cli/tests/unit_tests/agent.py similarity index 100% rename from langgraph/py.typed rename to libs/cli/tests/unit_tests/agent.py diff --git a/tests/checkpoint/__init__.py b/libs/cli/tests/unit_tests/graphs/agent.py similarity index 100% rename from tests/checkpoint/__init__.py rename to libs/cli/tests/unit_tests/graphs/agent.py diff --git a/libs/cli/tests/unit_tests/helpers.py b/libs/cli/tests/unit_tests/helpers.py new file mode 100644 index 000000000..79b67a2c9 --- /dev/null +++ b/libs/cli/tests/unit_tests/helpers.py @@ -0,0 +1,2 @@ +def clean_empty_lines(input_str: str): + return "\n".join(filter(None, input_str.splitlines())) diff --git a/libs/cli/tests/unit_tests/test_cli.py b/libs/cli/tests/unit_tests/test_cli.py new file mode 100644 index 000000000..d316228a9 --- /dev/null +++ b/libs/cli/tests/unit_tests/test_cli.py @@ -0,0 +1,111 @@ +import pathlib + +from langgraph_cli.cli import prepare_args_and_stdin +from langgraph_cli.config import Config, validate_config +from langgraph_cli.docker import DEFAULT_POSTGRES_URI, DockerCapabilities, Version +from langgraph_cli.util import clean_empty_lines + +DEFAULT_DOCKER_CAPABILITIES = DockerCapabilities( + version_docker=Version(26, 1, 1), + version_compose=Version(2, 27, 0), + healthcheck_start_interval=True, +) + + +def test_prepare_args_and_stdin(): + # this basically serves as an end-to-end test for using config and docker helpers + config_path = pathlib.Path("./langgraph.json") + config = validate_config( + Config(dependencies=["."], graphs={"agent": "agent.py:graph"}) + ) + port = 8000 + debugger_port = 8001 + + actual_args, actual_stdin = prepare_args_and_stdin( + capabilities=DEFAULT_DOCKER_CAPABILITIES, + config_path=config_path, + config=config, + docker_compose="custom-docker-compose.yml", + port=port, + debugger_port=debugger_port, + watch=True, + langgraph_api_path="path/to/langgraph-api", + ) + + expected_args = [ + "--project-directory", + ".", + "-f", + "custom-docker-compose.yml", + "-f", + "-", + ] + expected_stdin = f"""volumes: + langgraph-data: + driver: local +services: + langgraph-postgres: + image: postgres:16 + ports: + - "5433:5432" + environment: + POSTGRES_DB: postgres + POSTGRES_USER: postgres + POSTGRES_PASSWORD: postgres + volumes: + - langgraph-data:/var/lib/postgresql/data + healthcheck: + test: pg_isready -U postgres + start_period: 10s + timeout: 1s + retries: 5 + interval: 60s + start_interval: 1s + langgraph-debugger: + image: langchain/langgraph-debugger + restart: on-failure + ports: + - "{debugger_port}:80" + depends_on: + langgraph-postgres: + condition: service_healthy + langgraph-api: + ports: + - "8000:8000" + depends_on: + langgraph-postgres: + condition: service_healthy + environment: + POSTGRES_URI: {DEFAULT_POSTGRES_URI} + healthcheck: + test: python /api/healthcheck.py + interval: 60s + start_interval: 1s + start_period: 10s + + pull_policy: build + build: + context: . + dockerfile_inline: | + FROM langchain/langgraph-api:3.11 + ADD . /deps/ + RUN pip install -c /api/constraints.txt -e /deps/* + ENV LANGSERVE_GRAPHS='{{"agent": "agent.py:graph"}}' + WORKDIR /deps/ + + develop: + watch: + - path: langgraph.json + action: rebuild + ignore: + - .langgraph-data + - path: . + action: rebuild + ignore: + - .langgraph-data + - path: path/to/langgraph-api + action: sync+restart + target: /api/langgraph_api\ +""" + assert actual_args == expected_args + assert clean_empty_lines(actual_stdin) == expected_stdin diff --git a/libs/cli/tests/unit_tests/test_config.json b/libs/cli/tests/unit_tests/test_config.json new file mode 100644 index 000000000..b75d747c4 --- /dev/null +++ b/libs/cli/tests/unit_tests/test_config.json @@ -0,0 +1,13 @@ +{ + "python_version": "3.12", + "pip_config_file": "pipconfig.txt", + "dockerfile_lines": ["ARG meow"], + "dependencies": [ + "langchain_openai", + "." + ], + "graphs": { + "agent": "tests/unit_tests/agent.py:graph" + }, + "env": ".env" +} \ No newline at end of file diff --git a/libs/cli/tests/unit_tests/test_config.py b/libs/cli/tests/unit_tests/test_config.py new file mode 100644 index 000000000..9d61a29c7 --- /dev/null +++ b/libs/cli/tests/unit_tests/test_config.py @@ -0,0 +1,395 @@ +import os +import pathlib + +import click +import pytest + +from langgraph_cli.config import config_to_compose, config_to_docker, validate_config +from langgraph_cli.util import clean_empty_lines + +PATH_TO_CONFIG = pathlib.Path("tests/unit_tests/test_config.json") + + +def test_validate_config(): + # minimal config + expected_config = { + "dependencies": ["."], + "graphs": { + "agent": "./agent.py:graph", + }, + } + expected_config = { + "python_version": "3.11", + "pip_config_file": None, + "dockerfile_lines": [], + "env": {}, + **expected_config, + } + actual_config = validate_config(expected_config) + assert actual_config == expected_config + + # full config + env = ".env" + expected_config = { + "python_version": "3.12", + "pip_config_file": "pipconfig.txt", + "dockerfile_lines": ["ARG meow"], + "dependencies": [".", "langchain"], + "graphs": { + "agent": "./agent.py:graph", + }, + "env": env, + } + actual_config = validate_config(expected_config) + assert actual_config == expected_config + + # check wrong python version raises + with pytest.raises(click.UsageError): + validate_config( + { + "python_version": "3.9", + } + ) + + # check missing dependencies key raises + with pytest.raises(click.UsageError): + validate_config( + {"python_version": "3.9", "graphs": {"agent": "./agent.py:graph"}}, + ) + + # check missing graphs key raises + with pytest.raises(click.UsageError): + validate_config({"python_version": "3.9", "dependencies": ["."]}) + + +# config_to_docker +def test_config_to_docker_simple(): + graphs = {"agent": "./agent.py:graph"} + actual_docker_stdin = config_to_docker( + PATH_TO_CONFIG, validate_config({"dependencies": ["."], "graphs": graphs}) + ) + expected_docker_stdin = """\ +FROM langchain/langgraph-api:3.11 +ADD . /deps/__outer_unit_tests/unit_tests +COPY < - run all tests in file' + @echo 'test_watch - run unit tests in watch mode' diff --git a/libs/langgraph/README.md b/libs/langgraph/README.md new file mode 100644 index 000000000..e63722cfc --- /dev/null +++ b/libs/langgraph/README.md @@ -0,0 +1,207 @@ +# 🦜🕸️LangGraph + +![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 ⚡ + +## 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. + +### Key Features + +- **Cycles and Branching**: Implement loops and conditionals in your apps. +- **Persistence**: Automatically save state after each step in the graph. Pause and resume the graph execution at any point to support error recovery, human-in-the-loop workflows, time travel and more. +- **Human-in-the-Loop**: Interrupt graph execution to approve or edit next action planned by the agent. +- **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). + + +## Installation + +```shell +pip install -U langgraph +``` + +## Example + +One of the central concepts of LangGraph is state. Each graph execution creates a state that is passed between nodes in the graph as they execute, and each node updates this internal state with its return value after it executes. The way that the graph updates its internal state is defined by either the type of graph chosen or a custom function. + +Let's take a look at a simple example of an agent that can search the web using [Tavily Search API](https://tavily.com/). + +```shell +pip install langchain_openai langchain_community +``` + +```shell +export OPENAI_API_KEY=sk-... +export TAVILY_API_KEY=tvly-... +``` + +Optionally, we can set up [LangSmith](https://docs.smith.langchain.com/) for best-in-class observability. + +```shell +export LANGCHAIN_TRACING_V2="true" +export LANGCHAIN_API_KEY=ls__... +``` + +```python +from typing import Annotated, Literal, TypedDict + +from langchain_core.messages import HumanMessage +from langchain_community.tools.tavily_search import TavilySearchResults +from langchain_openai import ChatOpenAI +from langgraph.checkpoint import MemorySaver +from langgraph.graph import END, StateGraph, MessagesState +from langgraph.prebuilt import ToolNode + + +# Define the tools for the agent to use +tools = [TavilySearchResults(max_results=1)] +tool_node = ToolNode(tools) + +model = ChatOpenAI(temperature=0).bind_tools(tools) + +# Define the function that determines whether to continue or not +def should_continue(state: AgentState) -> Literal["tools", END]: + messages = state['messages'] + last_message = messages[-1] + # If the LLM makes a tool call, then we route to the "tools" node + if last_message.tool_calls: + return "tools" + # Otherwise, we stop (reply to the user) + return END + + +# Define the function that calls the model +def call_model(state: AgentState): + messages = state['messages'] + response = model.invoke(messages) + # We return a list, because this will get added to the existing list + return {"messages": [response]} + + +# Define a new graph +workflow = StateGraph(MessagesState) + +# Define the two nodes we will cycle between +workflow.add_node("agent", call_model) +workflow.add_node("tools", tool_node) + +# Set the entrypoint as `agent` +# This means that this node is the first one called +workflow.set_entry_point("agent") + +# We now add a conditional edge +workflow.add_conditional_edges( + # First, we define the start node. We use `agent`. + # This means these are the edges taken after the `agent` node is called. + "agent", + # Next, we pass in the function that will determine which node is called next. + should_continue, +) + +# We now add a normal edge from `tools` to `agent`. +# This means that after `tools` is called, `agent` node is called next. +workflow.add_edge("tools", 'agent') + +# Initialize memory to persist state between graph runs +checkpointer = MemorySaver() + +# Finally, we compile it! +# This compiles it into a LangChain Runnable, +# meaning you can use it as you would any other runnable. +# Note that we're (optionally) passing the memory when compiling the graph +app = workflow.compile(checkpointer=checkpointer) + +# Use the Runnable +final_state = app.invoke( + {"messages": [HumanMessage(content="what is the weather in sf")]}, + config={"configurable": {"thread_id": 42}} +) +final_state["messages"][-1].content +``` + +``` +'The current weather in San Francisco is as follows:\n- Temperature: 60.1°F (15.6°C)\n- Condition: Partly cloudy\n- Wind: 5.6 mph (9.0 kph) from SSW\n- Humidity: 83%\n- Visibility: 9.0 miles (16.0 km)\n- UV Index: 4.0\n\nFor more details, you can visit [Weather API](https://www.weatherapi.com/).' +``` + +Now when we pass the same `"thread_id"`, the conversation context is retained via the saved state (i.e. stored list of messages) + +```python +final_state = app.invoke( + {"messages": [HumanMessage(content="what about ny")]}, + config={"configurable": {"thread_id": 42}} +) +final_state["messages"][-1].content +``` + +``` +'The current weather in New York is as follows:\n- Temperature: 20.3°C (68.5°F)\n- Condition: Overcast\n- Wind: 2.2 mph from the north\n- Humidity: 65%\n- Cloud Cover: 100%\n- UV Index: 5.0\n\nFor more details, you can visit [Weather API](https://www.weatherapi.com/).' +``` + +### Step-by-step Breakdown: + +1.
+ Initialize the model and tools. + + - we use `ChatOpenAI` as our LLM. **NOTE:** we need make sure the model knows that it has these tools available to call. We can do this by converting the LangChain tools into the format for OpenAI tool calling using the `.bind_tools()` method. + - we define the tools we want to use -- a web search tool in our case. It is really easy to create your own tools - see documentation here on how to do that [here](https://python.langchain.com/docs/modules/agents/tools/custom_tools). +
+2.
+ Initialize graph with state. + + - we initialize graph (`StateGraph`) by passing state schema (in our case `MessagesState`) + - `MessagesState` is a prebuilt state schema that has one attribute -- a list of LangChain `Message` objects, as well as logic for merging the updates from each node into the state +
+3.
+ Define graph nodes. + + There are two main nodes we need: + - The `agent` node: responsible for deciding what (if any) actions to take. + - The `tools` node that invokes tools: if the agent decides to take an action, this node will then execute that action. +
+4.
+ Define entry point and graph edges. + + First, we need to set the entry point for graph execution - `agent` node. + + Then we define one normal and one conditional edge. Conditional edge means that the destination depends on the contents of the graph's state (`MessageState`). In our case, the destination is not known until the agent (LLM) decides. + + - Conditional edge: after the agent is called, we should either: + - a. Run tools if the agent said to take an action, OR + - b. Finish (respond to the user) if the agent did not ask to run tools + - Normal edge: after the tools are invoked, the graph should always return to the agent to decide what to do next +
+5.
+ Compile the graph. + + - When we compile the graph, we turn it into a LangChain [Runnable](https://python.langchain.com/v0.2/docs/concepts/#runnable-interface), which automatically enables calling `.invoke()`, `.stream()` and `.batch()` with your inputs + - We can also optionally pass checkpointer object for persisting state between graph runs, and enabling memory, human-in-the-loop workflows, time travel and more. In our case we use `MemorySaver` - a simple in-memory checkpointer +
+6.
+ Execute the graph. + + 1. LangGraph adds the input message to the internal state, then passes the state to the entrypoint node, `"agent"`. + 2. The `"agent"` node executes, invoking the chat model. + 3. The chat model returns an `AIMessage`. LangGraph adds this to the state. + 4. Graph cycles the following steps until there are no more `tool_calls` on `AIMessage`: + - If `AIMessage` has `tool_calls`, `"tools"` node executes + - The `"agent"` node executes again and returns `AIMessage` + 5. Execution progresses to the special `END` value and outputs the final state. + And as a result, we get a list of all our chat messages as output. +
+ + +## Documentation + +* [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/): 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. \ No newline at end of file diff --git a/langgraph/__init__.py b/libs/langgraph/langgraph/__init__.py similarity index 100% rename from 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"jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"] +test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more-itertools", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)", "pytest-ignore-flaky", "pytest-mypy", "pytest-ruff (>=0.2.1)"] + +[metadata] +lock-version = "2.0" +python-versions = ">=3.9.0,<4.0" +content-hash = "e4add510fb89fec1b59d54468cadbd5bff33a06c0a83e0fe923dbeb9d3d24876" diff --git a/poetry.toml b/libs/langgraph/poetry.toml similarity index 100% rename from poetry.toml rename to libs/langgraph/poetry.toml diff --git a/libs/langgraph/pyproject.toml b/libs/langgraph/pyproject.toml new file mode 100644 index 000000000..f750b1f18 --- /dev/null +++ b/libs/langgraph/pyproject.toml @@ -0,0 +1,84 @@ +[tool.poetry] +name = "langgraph" +version = "0.0.69" +description = "langgraph" +authors = [] +license = "MIT" +readme = "README.md" +repository = "https://www.github.com/langchain-ai/langgraph" + +[tool.poetry.dependencies] +python = ">=3.9.0,<4.0" +langchain-core = ">=0.2,<0.3" + + +[tool.poetry.group.dev.dependencies] +pytest = "^7.3.0" +pytest-cov = "^4.0.0" +pytest-dotenv = "^0.5.2" +pytest-asyncio = "^0.20.3" +pytest-mock = "^3.10.0" +syrupy = "^4.0.2" +httpx = "^0.26.0" +pytest-watcher = "^0.4.1" +langchain = ">=0.1.0" +aiosqlite = "^0.19.0" +grandalf = "^0.8" +mypy = "^1.6.0" +ruff = "^0.1.4" +jupyter = "^1.0.0" +langchainhub = "^0.1.14" +langchain-openai = ">=0.1.2" +langchain-anthropic = ">=0.1.8" +dataclasses-json = "^0.6.7" + +[tool.poetry.group.dev] +optional = true + +[tool.ruff] +lint.select = [ "E", "F", "I" ] +lint.ignore = [ "E501" ] +line-length = 88 +indent-width = 4 +extend-include = ["*.ipynb"] + +[tool.ruff.format] +quote-style = "double" +indent-style = "space" +skip-magic-trailing-comma = false +line-ending = "auto" +docstring-code-format = false +docstring-code-line-length = "dynamic" + +[tool.mypy] +ignore_missing_imports = "True" +disallow_untyped_defs = "True" +exclude = ["notebooks", "examples", "example_data"] + +[tool.coverage.run] +omit = ["tests/*"] + +[tool.pytest-watcher] +now = true +delay = 0.1 +runner_args = ["-x", "--ff", "-vv", "--snapshot-update"] +patterns = ["*.py"] + +[build-system] +requires = ["poetry-core>=1.0.0"] +build-backend = "poetry.core.masonry.api" + +[tool.pytest.ini_options] +asyncio_mode = "auto" +# --strict-markers will raise errors on unknown marks. +# https://docs.pytest.org/en/7.1.x/how-to/mark.html#raising-errors-on-unknown-marks +# +# https://docs.pytest.org/en/7.1.x/reference/reference.html +# --strict-config any warnings encountered while parsing the `pytest` +# section of the configuration file raise errors. +# +# https://github.com/tophat/syrupy +# --snapshot-warn-unused Prints a warning on unused snapshots rather than fail the test suite. +addopts = "--full-trace --strict-markers --strict-config --durations=5 --snapshot-warn-unused" +# Registering custom markers. +# https://docs.pytest.org/en/7.1.x/example/markers.html#registering-markers diff --git a/libs/langgraph/tests/__init__.py b/libs/langgraph/tests/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/__snapshots__/test_pregel.ambr b/libs/langgraph/tests/__snapshots__/test_pregel.ambr similarity index 100% rename from tests/__snapshots__/test_pregel.ambr rename to libs/langgraph/tests/__snapshots__/test_pregel.ambr diff --git a/tests/__snapshots__/test_pregel_async.ambr b/libs/langgraph/tests/__snapshots__/test_pregel_async.ambr similarity index 100% rename from tests/__snapshots__/test_pregel_async.ambr rename to libs/langgraph/tests/__snapshots__/test_pregel_async.ambr diff --git a/tests/any_str.py b/libs/langgraph/tests/any_str.py similarity index 100% rename from tests/any_str.py rename to libs/langgraph/tests/any_str.py diff --git a/libs/langgraph/tests/checkpoint/__init__.py b/libs/langgraph/tests/checkpoint/__init__.py new file mode 100644 index 000000000..e69de29bb diff --git a/tests/checkpoint/test_aiosqlite.py b/libs/langgraph/tests/checkpoint/test_aiosqlite.py similarity index 100% rename from tests/checkpoint/test_aiosqlite.py rename to libs/langgraph/tests/checkpoint/test_aiosqlite.py diff --git a/tests/checkpoint/test_memory.py b/libs/langgraph/tests/checkpoint/test_memory.py similarity index 100% rename from tests/checkpoint/test_memory.py rename to libs/langgraph/tests/checkpoint/test_memory.py diff --git a/tests/checkpoint/test_sqlite.py b/libs/langgraph/tests/checkpoint/test_sqlite.py similarity index 100% rename from tests/checkpoint/test_sqlite.py rename to libs/langgraph/tests/checkpoint/test_sqlite.py diff --git a/tests/conftest.py b/libs/langgraph/tests/conftest.py similarity index 100% rename from tests/conftest.py rename to libs/langgraph/tests/conftest.py diff --git a/tests/memory_assert.py b/libs/langgraph/tests/memory_assert.py similarity index 100% rename from tests/memory_assert.py rename to libs/langgraph/tests/memory_assert.py diff --git a/tests/test_channels.py b/libs/langgraph/tests/test_channels.py similarity index 100% rename from tests/test_channels.py rename to libs/langgraph/tests/test_channels.py diff --git a/tests/test_io.py b/libs/langgraph/tests/test_io.py similarity index 100% rename from tests/test_io.py rename to libs/langgraph/tests/test_io.py diff --git a/tests/test_jsonplus.py b/libs/langgraph/tests/test_jsonplus.py similarity index 100% rename from tests/test_jsonplus.py rename to libs/langgraph/tests/test_jsonplus.py diff --git a/tests/test_prebuilt.py b/libs/langgraph/tests/test_prebuilt.py similarity index 100% rename from tests/test_prebuilt.py rename to libs/langgraph/tests/test_prebuilt.py diff --git a/tests/test_pregel.py b/libs/langgraph/tests/test_pregel.py similarity index 100% rename from tests/test_pregel.py rename to libs/langgraph/tests/test_pregel.py diff --git a/tests/test_pregel_async.py b/libs/langgraph/tests/test_pregel_async.py similarity index 100% rename from tests/test_pregel_async.py rename to libs/langgraph/tests/test_pregel_async.py diff --git a/tests/test_state.py b/libs/langgraph/tests/test_state.py similarity index 100% rename from tests/test_state.py rename to libs/langgraph/tests/test_state.py diff --git a/tests/test_utils.py b/libs/langgraph/tests/test_utils.py similarity index 100% rename from tests/test_utils.py rename to libs/langgraph/tests/test_utils.py diff --git a/libs/sdk-js/.gitignore b/libs/sdk-js/.gitignore new file mode 100644 index 000000000..8c9e5a99c --- /dev/null +++ b/libs/sdk-js/.gitignore @@ -0,0 +1,8 @@ +/client.cjs +/client.js +/client.d.ts +/client.d.cts +/index.cjs +/index.js +/index.d.ts +/index.d.cts diff --git a/libs/sdk-js/LICENSE b/libs/sdk-js/LICENSE new file mode 100644 index 000000000..fc0602fee --- /dev/null +++ b/libs/sdk-js/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2024 LangChain, Inc. + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/libs/sdk-js/README.md b/libs/sdk-js/README.md new file mode 100644 index 000000000..b39b38983 --- /dev/null +++ b/libs/sdk-js/README.md @@ -0,0 +1,48 @@ +# LangGraph JS/TS SDK + +This repository contains the JS/TS SDK for interacting with the LangGraph REST API. + +## Quick Start + +To get started with the JS/TS SDK, [install the package](https://www.npmjs.com/package/@langchain/langgraph-sdk) + +```bash +yarn add @langchain/langgraph-sdk +``` + +You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, SDK will automatically point at `http://localhost:8123`, otherwise +you would need to specify the server URL when creating a client. + +```js +import { Client } from "@langchain/langgraph-sdk"; + +const client = new Client(); + +// List all assistants +const assistants = await client.assistants.search({ + metadata: null, + offset: 0, + limit: 10, +}); + +// We auto-create an assistant for each graph you register in config. +const agent = assistants[0]; + +// Start a new thread +const thread = await client.threads.create(); + +// Start a streaming run +const messages = [{ role: "human", content: "what's the weather in la" }]; + +const streamResponse = client.runs.stream( + thread["thread_id"], + agent["assistant_id"], + { + input: { messages }, + } +); + +for await (const chunk of streamResponse) { + console.log(chunk); +} +``` \ No newline at end of file diff --git a/libs/sdk-js/package.json b/libs/sdk-js/package.json new file mode 100644 index 000000000..6edf725d1 --- /dev/null +++ b/libs/sdk-js/package.json @@ -0,0 +1,64 @@ +{ + "name": "@langchain/langgraph-sdk", + "version": "0.0.1-rc.12", + "description": "Client library for interacting with the LangGraph API", + "type": "module", + "packageManager": "yarn@1.22.19", + "scripts": { + "clean": "rm -rf dist/ && node scripts/create-entrypoints.js clean", + "build": "yarn clean && yarn build:esm && yarn build:cjs && node scripts/create-entrypoints.js", + "build:esm": "rm -f src/package.json && tsc --outDir dist/ && rm -rf dist/tests dist/**/tests", + "build:cjs": "echo '{}' > src/package.json && tsc --outDir dist-cjs/ -p tsconfig.cjs.json && node scripts/move-cjs-to-dist.js && rm -r dist-cjs src/package.json", + "prepublish": "yarn run build", + "format": "prettier --write src", + "lint": "prettier --check src && tsc --noEmit" + }, + "main": "index.js", + "license": "MIT", + "dependencies": { + "@types/json-schema": "^7.0.15", + "eventsource-parser": "^1.1.2", + "p-queue": "^6.6.2", + "p-retry": "4", + "uuid": "^9.0.0" + }, + "devDependencies": { + "@tsconfig/recommended": "^1.0.2", + "@types/node": "^20.12.12", + "@types/uuid": "^9.0.1", + "prettier": "^3.2.5", + "typescript": "^5.4.5" + }, + "exports": { + ".": { + "types": { + "import": "./index.d.ts", + "require": "./index.d.cts", + "default": "./index.d.ts" + }, + "import": "./index.js", + "require": "./index.cjs" + }, + "./client": { + "types": { + "import": "./client.d.ts", + "require": "./client.d.cts", + "default": "./client.d.ts" + }, + "import": "./client.js", + "require": "./client.cjs" + }, + "./package.json": "./package.json" + }, + "files": [ + "dist/", + "client.cjs", + "client.js", + "client.d.ts", + "client.d.cts", + "index.cjs", + "index.js", + "index.d.ts", + "index.d.cts" + ] +} diff --git a/libs/sdk-js/scripts/create-entrypoints.js b/libs/sdk-js/scripts/create-entrypoints.js new file mode 100644 index 000000000..da14512f9 --- /dev/null +++ b/libs/sdk-js/scripts/create-entrypoints.js @@ -0,0 +1,115 @@ +import * as fs from "fs"; +import * as path from "path"; + +// This lists all the entrypoints for the library. Each key corresponds to an +// importable path, eg. `import { Foo } from "langgraph-sdk/client"`. +// The value is the path to the file in `src/` that exports the entrypoint. +// This is used to generate the `exports` field in package.json. +// Order is not important. +const entrypoints = { client: "client" }; + +const updateJsonFile = (relativePath, updateFunction) => { + const contents = fs.readFileSync(relativePath).toString(); + const res = updateFunction(JSON.parse(contents)); + fs.writeFileSync(relativePath, JSON.stringify(res, null, 2) + "\n"); +}; + +const generateFiles = () => { + const files = [...Object.entries(entrypoints), ["index", "index"]].flatMap( + ([key, value]) => { + const nrOfDots = key.split("/").length - 1; + const relativePath = "../".repeat(nrOfDots) || "./"; + const compiledPath = `${relativePath}dist/${value}`; + return [ + [`${key}.cjs`, `module.exports = require('${compiledPath}.cjs');`], + [`${key}.js`, `export * from '${compiledPath}.mjs'`], + [`${key}.d.ts`, `export * from '${compiledPath}.mjs'`], + [`${key}.d.cts`, `export * from '${compiledPath}.cjs'`], + ]; + }, + ); + + return Object.fromEntries(files); +}; + +const updateConfig = () => { + // Update tsconfig.json `typedocOptions.entryPoints` field + updateJsonFile("./tsconfig.json", (json) => ({ + ...json, + typedocOptions: { + ...json.typedocOptions, + entryPoints: [...Object.keys(entrypoints)].map( + (key) => `src/${entrypoints[key]}.ts`, + ), + }, + })); + + const generatedFiles = generateFiles(); + const filenames = Object.keys(generatedFiles); + + // Update package.json `exports` and `files` fields + updateJsonFile("./package.json", (json) => ({ + ...json, + exports: Object.assign( + Object.fromEntries( + ["index", ...Object.keys(entrypoints)].map((key) => { + let entryPoint = { + types: { + import: `./${key}.d.ts`, + require: `./${key}.d.cts`, + default: `./${key}.d.ts`, + }, + import: `./${key}.js`, + require: `./${key}.cjs`, + }; + + return [key === "index" ? "." : `./${key}`, entryPoint]; + }), + ), + { + "./package.json": "./package.json", + }, + ), + files: ["dist/", ...filenames], + })); + + // Write generated files + Object.entries(generatedFiles).forEach(([filename, content]) => { + fs.mkdirSync(path.dirname(filename), { + recursive: true, + }); + fs.writeFileSync(filename, content); + }); + + const gitignore = fs.readFileSync("./.gitignore").toString(); + const lines = gitignore.split("\n"); + const startMarker = "## GENERATED create-entrypoints.js"; + const endMarker = "## END GENERATED create-entrypoints.js"; + const startIdx = lines.findIndex((line) => line.includes(startMarker)); + const endIdx = lines.findIndex((line) => line.includes(endMarker)); + const newLines = [ + ...lines.slice(0, startIdx + 1), + ...filenames.map((fname) => `/${fname}`), + ...lines.slice(endIdx), + ]; + fs.writeFileSync("./.gitignore", newLines.join("\n")); +}; + +const cleanGenerated = () => { + const filenames = Object.keys(generateFiles()); + filenames.forEach((fname) => { + try { + fs.unlinkSync(fname); + } catch { + // ignore error + } + }); +}; + +const command = process.argv[2]; + +if (command === "clean") { + cleanGenerated(); +} else { + updateConfig(); +} diff --git a/libs/sdk-js/scripts/move-cjs-to-dist.js b/libs/sdk-js/scripts/move-cjs-to-dist.js new file mode 100644 index 000000000..1e89ccca8 --- /dev/null +++ b/libs/sdk-js/scripts/move-cjs-to-dist.js @@ -0,0 +1,38 @@ +import { resolve, dirname, parse, format } from "node:path"; +import { readdir, readFile, writeFile } from "node:fs/promises"; +import { fileURLToPath } from "node:url"; + +function abs(relativePath) { + return resolve(dirname(fileURLToPath(import.meta.url)), relativePath); +} + +async function moveAndRename(source, dest) { + for (const file of await readdir(abs(source), { withFileTypes: true })) { + if (file.isDirectory()) { + await moveAndRename(`${source}/${file.name}`, `${dest}/${file.name}`); + } else if (file.isFile()) { + const parsed = parse(file.name); + + // Ignore anything that's not a .js file + if (parsed.ext !== ".js") { + continue; + } + + // Rewrite any require statements to use .cjs + const content = await readFile(abs(`${source}/${file.name}`), "utf8"); + const rewritten = content.replace(/require\("(\..+?).js"\)/g, (_, p1) => { + return `require("${p1}.cjs")`; + }); + + // Rename the file to .cjs + const renamed = format({ name: parsed.name, ext: ".cjs" }); + + await writeFile(abs(`${dest}/${renamed}`), rewritten, "utf8"); + } + } +} + +moveAndRename("../dist-cjs", "../dist").catch((err) => { + console.error(err); + process.exit(1); +}); diff --git a/libs/sdk-js/src/client.mts b/libs/sdk-js/src/client.mts new file mode 100644 index 000000000..7d2fd1472 --- /dev/null +++ b/libs/sdk-js/src/client.mts @@ -0,0 +1,680 @@ +import { + Assistant, + AssistantGraph, + Config, + DefaultValues, + GraphSchema, + Metadata, + Run, + Thread, + ThreadState, +} from "./schema.js"; +import { AsyncCaller, AsyncCallerParams } from "./utils/async_caller.mjs"; +import { EventSourceParser, createParser } from "eventsource-parser"; +import { IterableReadableStream } from "./utils/stream.mjs"; +import { + RunsCreatePayload, + RunsStreamPayload, + RunsWaitPayload, + StreamEvent, +} from "./types.mjs"; + +interface ClientConfig { + apiUrl?: string; + callerOptions?: AsyncCallerParams; + timeoutMs?: number; + defaultHeaders?: Record; +} + +class BaseClient { + protected asyncCaller: AsyncCaller; + + protected timeoutMs: number; + + protected apiUrl: string; + + protected defaultHeaders: Record; + + constructor(config?: ClientConfig) { + this.asyncCaller = new AsyncCaller({ + maxRetries: 4, + maxConcurrency: 4, + ...config?.callerOptions, + }); + + this.timeoutMs = config?.timeoutMs || 12_000; + this.apiUrl = config?.apiUrl || "http://localhost:8123"; + this.defaultHeaders = config?.defaultHeaders || {}; + } + + protected prepareFetchOptions( + path: string, + options?: RequestInit & { + json?: unknown; + params?: Record; + }, + ): [url: URL, init: RequestInit] { + const mutatedOptions = { + ...options, + headers: { ...this.defaultHeaders, ...options?.headers }, + }; + + if (mutatedOptions.json) { + mutatedOptions.body = JSON.stringify(mutatedOptions.json); + mutatedOptions.headers = { + ...mutatedOptions.headers, + "Content-Type": "application/json", + }; + delete mutatedOptions.json; + } + + const targetUrl = new URL(`${this.apiUrl}${path}`); + + if (mutatedOptions.params) { + for (const [key, value] of Object.entries(mutatedOptions.params)) { + if (value == null) continue; + + let strValue = + typeof value === "string" || typeof value === "number" + ? value.toString() + : JSON.stringify(value); + + targetUrl.searchParams.append(key, strValue); + } + delete mutatedOptions.params; + } + + return [targetUrl, mutatedOptions]; + } + + protected async fetch( + path: string, + options?: RequestInit & { + json?: unknown; + params?: Record; + }, + ): Promise { + const response = await this.asyncCaller.fetch( + ...this.prepareFetchOptions(path, options), + ); + if (response.status === 202 || response.status === 204) { + return undefined as T; + } + return response.json() as T; + } +} + +class AssistantsClient extends BaseClient { + /** + * Get an assistant by ID. + * + * @param assistantId The ID of the assistant. + * @returns Assistant + */ + async get(assistantId: string): Promise { + return this.fetch(`/assistants/${assistantId}`); + } + + /** + * Get the JSON representation of the graph assigned to a runnable + * @param assistantId The ID of the assistant. + * @returns Serialized graph + */ + async getGraph(assistantId: string): Promise { + return this.fetch(`/assistants/${assistantId}/graph`); + } + + /** + * Get the state and config schema of the graph assigned to a runnable + * @param assistantId The ID of the assistant. + * @returns Graph schema + */ + async getSchemas(assistantId: string): Promise { + return this.fetch(`/assistants/${assistantId}/schemas`); + } + + /** + * Create a new assistant. + * @param payload Payload for creating an assistant. + * @returns The created assistant. + */ + async create(payload: { + graphId: string; + config?: Config; + metadata?: Metadata; + }): Promise { + return this.fetch("/assistants", { + method: "POST", + json: { + graph_id: payload.graphId, + config: payload.config, + metadata: payload.metadata, + }, + }); + } + + /** + * Update an assistant. + * @param assistantId ID of the assistant. + * @param payload Payload for updating the assistant. + * @returns The updated assistant. + */ + async update( + assistantId: string, + payload: { + graphId: string; + config?: Config; + metadata?: Metadata; + }, + ): Promise { + return this.fetch(`/assistants/${assistantId}`, { + method: "PATCH", + json: { + graph_id: payload.graphId, + config: payload.config, + metadata: payload.metadata, + }, + }); + } + + /** + * Delete an assistant. + * + * @param assistantId ID of the assistant. + */ + async delete(assistantId: string): Promise { + return this.fetch(`/assistants/${assistantId}`, { + method: "DELETE", + }); + } + + /** + * List assistants. + * @param query Query options. + * @returns List of assistants. + */ + async search(query?: { + metadata?: Metadata; + limit?: number; + offset?: number; + }): Promise { + return this.fetch("/assistants/search", { + method: "POST", + json: { + metadata: query?.metadata ?? undefined, + limit: query?.limit ?? 10, + offset: query?.offset ?? 0, + }, + }); + } +} + +class ThreadsClient extends BaseClient { + /** + * Get a thread by ID. + * + * @param threadId ID of the thread. + * @returns The thread. + */ + async get(threadId: string): Promise { + return this.fetch(`/threads/${threadId}`); + } + + /** + * Create a new thread. + * + * @param payload Payload for creating a thread. + * @returns The created thread. + */ + async create(payload?: { + /** + * Metadata for the thread. + */ + metadata?: Metadata; + }): Promise { + return this.fetch(`/threads`, { + method: "POST", + json: { metadata: payload?.metadata }, + }); + } + + /** + * Update a thread. + * + * @param threadId ID of the thread. + * @param payload Payload for updating the thread. + * @returns The updated thread. + */ + async update( + threadId: string, + payload?: { + /** + * Metadata for the thread. + */ + metadata?: Metadata; + }, + ): Promise { + return this.fetch(`/threads/${threadId}`, { + method: "PATCH", + json: { metadata: payload?.metadata }, + }); + } + + /** + * Delete a thread. + * + * @param threadId ID of the thread. + */ + async delete(threadId: string): Promise { + return this.fetch(`/threads/${threadId}`, { + method: "DELETE", + }); + } + + /** + * List threads + * + * @param query Query options + * @returns List of threads + */ + async search(query?: { + /** + * Metadata to filter threads by. + */ + metadata?: Metadata; + /** + * Maximum number of threads to return. + * Defaults to 10 + */ + limit?: number; + /** + * Offset to start from. + */ + offset?: number; + }): Promise { + return this.fetch("/threads/search", { + method: "POST", + json: { + metadata: query?.metadata ?? undefined, + limit: query?.limit ?? 10, + offset: query?.offset ?? 0, + }, + }); + } + + /** + * Get state for a thread. + * + * @param threadId ID of the thread. + * @returns Thread state. + */ + async getState( + threadId: string, + checkpointId?: string, + ): Promise> { + return this.fetch>( + checkpointId != null + ? `/threads/${threadId}/state/${checkpointId}` + : `/threads/${threadId}/state`, + ); + } + + /** + * Add state to a thread. + * + * @param threadId The ID of the thread. + * @returns + */ + async updateState( + threadId: string, + options: { values: ValuesType; checkpointId?: string; asNode?: string }, + ): Promise { + return this.fetch(`/threads/${threadId}/state`, { + method: "POST", + json: { + values: options.values, + checkpoint_id: options.checkpointId, + as_node: options?.asNode, + }, + }); + } + + /** + * Patch the metadata of a thread. + * + * @param threadIdOrConfig Thread ID or config to patch the state of. + * @param metadata Metadata to patch the state with. + */ + async patchState( + threadIdOrConfig: string | Config, + metadata: Metadata, + ): Promise { + let threadId: string; + + if (typeof threadIdOrConfig !== "string") { + if (typeof threadIdOrConfig.configurable.thread_id !== "string") { + throw new Error( + "Thread ID is required when updating state with a config.", + ); + } + threadId = threadIdOrConfig.configurable.thread_id; + } else { + threadId = threadIdOrConfig; + } + + return this.fetch(`/threads/${threadId}/state`, { + method: "PATCH", + json: { metadata: metadata }, + }); + } + + /** + * Get all past states for a thread. + * + * @param threadId ID of the thread. + * @param options Additional options. + * @returns List of thread states. + */ + async getHistory( + threadId: string, + options?: { + limit?: number; + before?: Config; + metadata?: Metadata; + }, + ): Promise[]> { + return this.fetch[]>( + `/threads/${threadId}/history`, + { + method: "POST", + json: { + limit: options?.limit ?? 10, + before: options?.before, + metadata: options?.metadata, + }, + }, + ); + } +} + +class RunsClient extends BaseClient { + stream( + threadId: null, + assistantId: string, + payload?: Omit, + ): AsyncGenerator<{ + event: StreamEvent; + data: any; + }>; + + stream( + threadId: string, + assistantId: string, + payload?: RunsStreamPayload, + ): AsyncGenerator<{ + event: StreamEvent; + data: any; + }>; + + /** + * Create a run and stream the results. + * + * @param threadId The ID of the thread. + * @param assistantId Assistant ID to use for this run. + * @param payload Payload for creating a run. + */ + async *stream( + threadId: string | null, + assistantId: string, + payload?: RunsStreamPayload, + ): AsyncGenerator<{ + event: StreamEvent; + // TODO: figure out a better way to + // type this without any + data: any; + }> { + const json: Record = { + input: payload?.input, + config: payload?.config, + metadata: payload?.metadata, + stream_mode: payload?.streamMode, + feedback_keys: payload?.feedbackKeys, + assistant_id: assistantId, + interrupt_before: payload?.interruptBefore, + interrupt_after: payload?.interruptAfter, + }; + if (payload?.multitaskStrategy != null) { + json["multitask_strategy"] = payload?.multitaskStrategy; + } + + const endpoint = + threadId == null ? `/runs/stream` : `/threads/${threadId}/runs/stream`; + const response = await this.asyncCaller.fetch( + ...this.prepareFetchOptions(endpoint, { + method: "POST", + json, + signal: payload?.signal, + }), + ); + + let parser: EventSourceParser; + const textDecoder = new TextDecoder(); + + const stream: ReadableStream<{ event: string; data: any }> = ( + response.body || new ReadableStream({ start: (ctrl) => ctrl.close() }) + ).pipeThrough( + new TransformStream({ + async start(ctrl) { + parser = createParser((event) => { + if ( + (payload?.signal && payload.signal.aborted) || + (event.type === "event" && event.data === "[DONE]") + ) { + ctrl.terminate(); + return; + } + + if ("data" in event) { + ctrl.enqueue({ + event: event.event ?? "message", + data: JSON.parse(event.data), + }); + } + }); + }, + async transform(chunk) { + parser.feed(textDecoder.decode(chunk)); + }, + }), + ); + + yield* IterableReadableStream.fromReadableStream(stream); + } + + /** + * Create a run. + * + * @param threadId The ID of the thread. + * @param assistantId Assistant ID to use for this run. + * @param payload Payload for creating a run. + * @returns The created run. + */ + async create( + threadId: string, + assistantId: string, + payload?: RunsCreatePayload, + ): Promise { + const json: Record = { + input: payload?.input, + config: payload?.config, + metadata: payload?.metadata, + assistant_id: assistantId, + interrupt_before: payload?.interruptBefore, + interrupt_after: payload?.interruptAfter, + webhook: payload?.webhook, + }; + if (payload?.multitaskStrategy != null) { + json["multitask_strategy"] = payload?.multitaskStrategy; + } + return this.fetch(`/threads/${threadId}/runs`, { + method: "POST", + json, + signal: payload?.signal, + }); + } + + async wait( + threadId: null, + assistantId: string, + payload?: Omit, + ): Promise; + + async wait( + threadId: string, + assistantId: string, + payload?: RunsWaitPayload, + ): Promise; + + /** + * Create a run and wait for it to complete. + * + * @param threadId The ID of the thread. + * @param assistantId Assistant ID to use for this run. + * @param payload Payload for creating a run. + * @returns The last values chunk of the thread. + */ + async wait( + threadId: string | null, + assistantId: string, + payload?: RunsWaitPayload, + ): Promise { + const json: Record = { + input: payload?.input, + config: payload?.config, + metadata: payload?.metadata, + assistant_id: assistantId, + interrupt_before: payload?.interruptBefore, + interrupt_after: payload?.interruptAfter, + }; + if (payload?.multitaskStrategy != null) { + json["multitask_strategy"] = payload?.multitaskStrategy; + } + const endpoint = + threadId == null ? `/runs/wait` : `/threads/${threadId}/runs/wait`; + return this.fetch(endpoint, { + method: "POST", + json, + signal: payload?.signal, + }); + } + + /** + * List all runs for a thread. + * + * @param threadId The ID of the thread. + * @param options Filtering and pagination options. + * @returns List of runs. + */ + async list( + threadId: string, + options?: { + /** + * Maximum number of runs to return. + * Defaults to 10 + */ + limit?: number; + + /** + * Offset to start from. + * Defaults to 0. + */ + offset?: number; + }, + ): Promise { + return this.fetch(`/threads/${threadId}/runs`, { + params: { + limit: options?.limit ?? 10, + offset: options?.offset ?? 0, + }, + }); + } + + /** + * Get a run by ID. + * + * @param threadId The ID of the thread. + * @param runId The ID of the run. + * @returns The run. + */ + async get(threadId: string, runId: string): Promise { + return this.fetch(`/threads/${threadId}/runs/${runId}`); + } + + /** + * Cancel a run. + * + * @param threadId The ID of the thread. + * @param runId The ID of the run. + * @param wait Whether to block when canceling + * @returns + */ + async cancel( + threadId: string, + runId: string, + wait: boolean = false, + ): Promise { + return this.fetch(`/threads/${threadId}/runs/${runId}/cancel`, { + method: "POST", + params: { + wait: wait ? "1" : "0", + }, + }); + } + + /** + * Block until a run is done. + * + * @param threadId The ID of the thread. + * @param runId The ID of the run. + * @returns + */ + async join(threadId: string, runId: string): Promise { + return this.fetch(`/threads/${threadId}/runs/${runId}/join`); + } + + /** + * Delete a run. + * + * @param threadId The ID of the thread. + * @param runId The ID of the run. + * @returns + */ + async delete(threadId: string, runId: string): Promise { + return this.fetch(`/threads/${threadId}/runs/${runId}`, { + method: "DELETE", + }); + } +} + +export class Client { + /** + * The client for interacting with assistants. + */ + public assistants: AssistantsClient; + + /** + * The client for interacting with threads. + */ + public threads: ThreadsClient; + + /** + * The client for interacting with runs. + */ + public runs: RunsClient; + + constructor(config?: ClientConfig) { + this.assistants = new AssistantsClient(config); + this.threads = new ThreadsClient(config); + this.runs = new RunsClient(config); + } +} diff --git a/libs/sdk-js/src/index.mts b/libs/sdk-js/src/index.mts new file mode 100644 index 000000000..bb7359349 --- /dev/null +++ b/libs/sdk-js/src/index.mts @@ -0,0 +1,13 @@ +export { Client } from "./client.mjs"; + +export type { + Assistant, + AssistantGraph, + Config, + DefaultValues, + GraphSchema, + Metadata, + Run, + Thread, + ThreadState, +} from "./schema.js"; diff --git a/libs/sdk-js/src/schema.ts b/libs/sdk-js/src/schema.ts new file mode 100644 index 000000000..9594595eb --- /dev/null +++ b/libs/sdk-js/src/schema.ts @@ -0,0 +1,96 @@ +import type { JSONSchema7 } from "json-schema"; + +type Optional = T | null | undefined; + +export interface Config { + /** + * Tags for this call and any sub-calls (eg. a Chain calling an LLM). + * You can use these to filter calls. + */ + tags?: string[]; + + /** + * Maximum number of times a call can recurse. + * If not provided, defaults to 25. + */ + recursion_limit?: number; + + /** + * Runtime values for attributes previously made configurable on this Runnable. + */ + configurable: { + /** + * ID of the thread + */ + thread_id?: string; + + /** + * Timestamp of the state checkpoint + */ + thread_ts?: string; + [key: string]: unknown; + }; +} + +export interface GraphSchema { + /** + * The ID of the graph. + */ + graph_id: string; + + /** + * The schema for the graph state + */ + state_schema: JSONSchema7; + + /** + * The schema for the graph config + */ + config_schema: JSONSchema7; +} + +export type Metadata = Optional>; + +export interface Assistant { + assistant_id: string; + graph_id: string; + config: Config; + created_at: string; + updated_at: string; + metadata: Metadata; +} +export type AssistantGraph = Record>>; + +export interface Thread { + thread_id: string; + created_at: string; + updated_at: string; + metadata: Metadata; +} + +export type DefaultValues = Record[] | Record; + +export interface ThreadState { + values: ValuesType; + next: string[]; + checkpoint_id: string; + metadata: Metadata; + created_at: Optional; + parent_checkpoint_id: Optional; +} + +export interface Run { + run_id: string; + thread_id: string; + assistant_id: string; + created_at: string; + updated_at: string; + status: + | "pending" + | "running" + | "error" + | "success" + | "timeout" + | "interrupted"; + metadata: Metadata; +} diff --git a/libs/sdk-js/src/types.mts b/libs/sdk-js/src/types.mts new file mode 100644 index 000000000..c5ddaa5b4 --- /dev/null +++ b/libs/sdk-js/src/types.mts @@ -0,0 +1,86 @@ +import { Config, Metadata } from "./schema.js"; + +export type StreamMode = "values" | "messages" | "updates" | "events" | "debug"; +export type MultitaskStrategy = "reject" | "interrupt" | "rollback" | "enqueue"; +export type StreamEvent = + | "events" + | "metadata" + | "debug" + | "updates" + | "values" + | "messages/partial" + | "messages/metadata" + | "messages/complete" + | (string & {}); + +interface RunsInvokePayload { + /** + * Input to the run. Pass `null` to resume from the current state of the thread. + */ + input?: Record | null; + + /** + * Metadata for the run. + */ + metadata?: Metadata; + + /** + * Additional configuration for the run. + */ + config?: Config; + + /** + * Interrupt execution before entering these nodes. + */ + interruptBefore?: string[]; + + /** + * Interrupt execution after leaving these nodes. + */ + interruptAfter?: string[]; + + /** + * Strategy to handle concurrent runs on the same thread. Only relevant if + * there is a pending/inflight run on the same thread. One of: + * - "reject": Reject the new run. + * - "interrupt": Interrupt the current run, keeping steps completed until now, + and start a new one. + * - "rollback": Cancel and delete the existing run, rolling back the thread to + the state before it had started, then start the new run. + * - "enqueue": Queue up the new run to start after the current run finishes. + */ + multitaskStrategy?: MultitaskStrategy; + + /** + * Abort controller signal to cancel the run. + */ + signal?: AbortController["signal"]; +} + +export interface RunsStreamPayload extends RunsInvokePayload { + /** + * One of `"values"`, `"messages"`, `"updates"` or `"events"`. + * - `"values"`: Stream the thread state any time it changes. + * - `"messages"`: Stream chat messages from thread state and calls to chat models, + * token-by-token where possible. + * - `"updates"`: Stream the state updates returned by each node. + * - `"events"`: Stream all events produced by the run. You can also access these + * afterwards using the `client.runs.listEvents()` method. + */ + streamMode?: StreamMode | Array; + + /** + * Pass one or more feedbackKeys if you want to request short-lived signed URLs + * for submitting feedback to LangSmith with this key for this run. + */ + feedbackKeys?: string[]; +} + +export interface RunsCreatePayload extends RunsInvokePayload { + /** + * Webhook to call when the run is complete. + */ + webhook?: string; +} + +export type RunsWaitPayload = RunsStreamPayload; diff --git a/libs/sdk-js/src/utils/async_caller.mts b/libs/sdk-js/src/utils/async_caller.mts new file mode 100644 index 000000000..1774b9609 --- /dev/null +++ b/libs/sdk-js/src/utils/async_caller.mts @@ -0,0 +1,206 @@ +import pRetry from "p-retry"; +import PQueueMod from "p-queue"; + +const STATUS_NO_RETRY = [ + 400, // Bad Request + 401, // Unauthorized + 403, // Forbidden + 404, // Not Found + 405, // Method Not Allowed + 406, // Not Acceptable + 407, // Proxy Authentication Required + 408, // Request Timeout + 422, // Unprocessable Entity +]; +const STATUS_IGNORE = [ + 409, // Conflict +]; + +type ResponseCallback = (response?: Response) => Promise; + +export interface AsyncCallerParams { + /** + * The maximum number of concurrent calls that can be made. + * Defaults to `Infinity`, which means no limit. + */ + maxConcurrency?: number; + /** + * The maximum number of retries that can be made for a single call, + * with an exponential backoff between each attempt. Defaults to 6. + */ + maxRetries?: number; + + onFailedResponseHook?: ResponseCallback; +} + +export interface AsyncCallerCallOptions { + signal?: AbortSignal; +} + +/** + * Do not rely on globalThis.Response, rather just + * do duck typing + */ +function isResponse(x: unknown): x is Response { + if (x == null || typeof x !== "object") return false; + return "status" in x && "statusText" in x && "text" in x; +} + +/** + * Utility error to properly handle failed requests + */ +class HTTPError extends Error { + status: number; + text: string; + + response?: Response; + + constructor(status: number, message: string, response?: Response) { + super(`HTTP ${status}: ${message}`); + this.status = status; + this.text = message; + this.response = response; + } + + static async fromResponse( + response: Response, + options?: { includeResponse?: boolean }, + ): Promise { + try { + return new HTTPError( + response.status, + await response.text(), + options?.includeResponse ? response : undefined, + ); + } catch { + return new HTTPError( + response.status, + response.statusText, + options?.includeResponse ? response : undefined, + ); + } + } +} + +/** + * A class that can be used to make async calls with concurrency and retry logic. + * + * This is useful for making calls to any kind of "expensive" external resource, + * be it because it's rate-limited, subject to network issues, etc. + * + * Concurrent calls are limited by the `maxConcurrency` parameter, which defaults + * to `Infinity`. This means that by default, all calls will be made in parallel. + * + * Retries are limited by the `maxRetries` parameter, which defaults to 5. This + * means that by default, each call will be retried up to 5 times, with an + * exponential backoff between each attempt. + */ +export class AsyncCaller { + protected maxConcurrency: AsyncCallerParams["maxConcurrency"]; + + protected maxRetries: AsyncCallerParams["maxRetries"]; + + private queue: (typeof import("p-queue"))["default"]["prototype"]; + + private onFailedResponseHook?: ResponseCallback; + + constructor(params: AsyncCallerParams) { + this.maxConcurrency = params.maxConcurrency ?? Infinity; + this.maxRetries = params.maxRetries ?? 4; + + if ("default" in PQueueMod) { + // eslint-disable-next-line @typescript-eslint/no-explicit-any + this.queue = new (PQueueMod.default as any)({ + concurrency: this.maxConcurrency, + }); + } else { + // eslint-disable-next-line @typescript-eslint/no-explicit-any + this.queue = new (PQueueMod as any)({ concurrency: this.maxConcurrency }); + } + this.onFailedResponseHook = params?.onFailedResponseHook; + } + + // eslint-disable-next-line @typescript-eslint/no-explicit-any + call Promise>( + callable: T, + ...args: Parameters + ): Promise>> { + const onFailedResponseHook = this.onFailedResponseHook; + return this.queue.add( + () => + pRetry( + () => + callable(...(args as Parameters)).catch(async (error) => { + // eslint-disable-next-line no-instanceof/no-instanceof + if (error instanceof Error) { + throw error; + } else if (isResponse(error)) { + throw await HTTPError.fromResponse(error, { + includeResponse: !!onFailedResponseHook, + }); + } else { + throw new Error(error); + } + }), + { + async onFailedAttempt(error) { + if ( + error.message.startsWith("Cancel") || + error.message.startsWith("TimeoutError") || + error.message.startsWith("AbortError") + ) { + throw error; + } + // eslint-disable-next-line @typescript-eslint/no-explicit-any + if ((error as any)?.code === "ECONNABORTED") { + throw error; + } + + if (error instanceof HTTPError) { + if (STATUS_NO_RETRY.includes(error.status)) { + throw error; + } else if (STATUS_IGNORE.includes(error.status)) { + return; + } + if (onFailedResponseHook && error.response) { + await onFailedResponseHook(error.response); + } + } + }, + // If needed we can change some of the defaults here, + // but they're quite sensible. + retries: this.maxRetries, + randomize: true, + }, + ), + { throwOnTimeout: true }, + ); + } + + // eslint-disable-next-line @typescript-eslint/no-explicit-any + callWithOptions Promise>( + options: AsyncCallerCallOptions, + callable: T, + ...args: Parameters + ): Promise>> { + // Note this doesn't cancel the underlying request, + // when available prefer to use the signal option of the underlying call + if (options.signal) { + return Promise.race([ + this.call(callable, ...args), + new Promise((_, reject) => { + options.signal?.addEventListener("abort", () => { + reject(new Error("AbortError")); + }); + }), + ]); + } + return this.call(callable, ...args); + } + + fetch(...args: Parameters): ReturnType { + return this.call(() => + fetch(...args).then((res) => (res.ok ? res : Promise.reject(res))), + ); + } +} diff --git a/libs/sdk-js/src/utils/stream.mts b/libs/sdk-js/src/utils/stream.mts new file mode 100644 index 000000000..c921ddf51 --- /dev/null +++ b/libs/sdk-js/src/utils/stream.mts @@ -0,0 +1,109 @@ +// in this case don't quite match. +type IterableReadableStreamInterface = ReadableStream & AsyncIterable; + +/* + * Support async iterator syntax for ReadableStreams in all environments. + * Source: https://github.com/MattiasBuelens/web-streams-polyfill/pull/122#issuecomment-1627354490 + */ +export class IterableReadableStream + extends ReadableStream + implements IterableReadableStreamInterface +{ + public reader: ReadableStreamDefaultReader; + + ensureReader() { + if (!this.reader) { + this.reader = this.getReader(); + } + } + + async next(): Promise> { + this.ensureReader(); + try { + const result = await this.reader.read(); + if (result.done) { + this.reader.releaseLock(); // release lock when stream becomes closed + return { + done: true, + value: undefined, + }; + } else { + return { + done: false, + value: result.value, + }; + } + } catch (e) { + this.reader.releaseLock(); // release lock when stream becomes errored + throw e; + } + } + + async return(): Promise> { + this.ensureReader(); + // If wrapped in a Node stream, cancel is already called. + if (this.locked) { + const cancelPromise = this.reader.cancel(); // cancel first, but don't await yet + this.reader.releaseLock(); // release lock first + await cancelPromise; // now await it + } + return { done: true, value: undefined }; + } + + // eslint-disable-next-line @typescript-eslint/no-explicit-any + async throw(e: any): Promise> { + this.ensureReader(); + if (this.locked) { + const cancelPromise = this.reader.cancel(); // cancel first, but don't await yet + this.reader.releaseLock(); // release lock first + await cancelPromise; // now await it + } + throw e; + } + + [Symbol.asyncIterator]() { + return this; + } + + static fromReadableStream(stream: ReadableStream) { + // From https://developer.mozilla.org/en-US/docs/Web/API/Streams_API/Using_readable_streams#reading_the_stream + const reader = stream.getReader(); + return new IterableReadableStream({ + start(controller) { + return pump(); + function pump(): Promise { + return reader.read().then(({ done, value }) => { + // When no more data needs to be consumed, close the stream + if (done) { + controller.close(); + return; + } + // Enqueue the next data chunk into our target stream + controller.enqueue(value); + return pump(); + }); + } + }, + cancel() { + reader.releaseLock(); + }, + }); + } + + static fromAsyncGenerator(generator: AsyncGenerator) { + return new IterableReadableStream({ + async pull(controller) { + const { value, done } = await generator.next(); + // When no more data needs to be consumed, close the stream + if (done) { + controller.close(); + } + // Fix: `else if (value)` will hang the streaming when nullish value (e.g. empty string) is pulled + controller.enqueue(value); + }, + async cancel(reason) { + await generator.return(reason); + }, + }); + } +} diff --git a/libs/sdk-js/tsconfig.cjs.json b/libs/sdk-js/tsconfig.cjs.json new file mode 100644 index 000000000..7e091b100 --- /dev/null +++ b/libs/sdk-js/tsconfig.cjs.json @@ -0,0 +1,7 @@ +{ + "extends": "./tsconfig.json", + "compilerOptions": { + "declaration": false + }, + "exclude": ["node_modules", "dist", "**/tests"] +} diff --git a/libs/sdk-js/tsconfig.json b/libs/sdk-js/tsconfig.json new file mode 100644 index 000000000..355f38ad2 --- /dev/null +++ b/libs/sdk-js/tsconfig.json @@ -0,0 +1,26 @@ +{ + "extends": "@tsconfig/recommended", + "compilerOptions": { + "target": "ES2021", + "lib": ["ES2021", "ES2022.Object", "DOM"], + "module": "NodeNext", + "moduleResolution": "nodenext", + "esModuleInterop": true, + "declaration": true, + "noImplicitReturns": true, + "noFallthroughCasesInSwitch": true, + "noUnusedLocals": true, + "noUnusedParameters": true, + "useDefineForClassFields": true, + "strictPropertyInitialization": false, + "allowJs": true, + "strict": true, + "outDir": "dist" + }, + "include": ["src/**/*"], + "exclude": ["node_modules", "dist", "coverage"], + "includeVersion": true, + "typedocOptions": { + "entryPoints": ["src/client.ts"] + } +} diff --git a/libs/sdk-js/yarn.lock b/libs/sdk-js/yarn.lock new file mode 100644 index 000000000..b49c759a3 --- /dev/null +++ b/libs/sdk-js/yarn.lock @@ -0,0 +1,93 @@ +# THIS IS AN AUTOGENERATED FILE. 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Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/libs/sdk-py/Makefile b/libs/sdk-py/Makefile new file mode 100644 index 000000000..f7c1fc828 --- /dev/null +++ b/libs/sdk-py/Makefile @@ -0,0 +1,21 @@ +.PHONY: lint format + +###################### +# LINTING AND FORMATTING +###################### + +# Define a variable for Python and notebook files. +PYTHON_FILES=. +MYPY_CACHE=.mypy_cache +lint format: PYTHON_FILES=. +lint_diff format_diff: PYTHON_FILES=$(shell git diff --name-only --relative --diff-filter=d main . | grep -E '\.py$$|\.ipynb$$') + +lint lint_diff: + poetry run ruff . + [ "$(PYTHON_FILES)" = "" ] || poetry run ruff format $(PYTHON_FILES) --diff + [ "$(PYTHON_FILES)" = "" ] || poetry run ruff --select I $(PYTHON_FILES) + [ "$(PYTHON_FILES)" = "" ] || mkdir -p $(MYPY_CACHE) || poetry run mypy $(PYTHON_FILES) --cache-dir $(MYPY_CACHE) + +format format_diff: + poetry run ruff format $(PYTHON_FILES) + poetry run ruff --select I --fix $(PYTHON_FILES) \ No newline at end of file diff --git a/libs/sdk-py/README.md b/libs/sdk-py/README.md new file mode 100644 index 000000000..74f121f68 --- /dev/null +++ b/libs/sdk-py/README.md @@ -0,0 +1,35 @@ +# LangGraph Python SDK + +This repository contains the Python SDK for interacting with the LangGraph REST API. + +## Quick Start + +To get started with the Python SDK, [install the package](https://pypi.org/project/langgraph-sdk/) + +```bash +pip install -U langgraph-sdk +``` + +You will need a running LangGraph API server. If you're running a server locally using `langgraph-cli`, SDK will automatically point at `http://localhost:8123`, otherwise +you would need to specify the server URL when creating a client. + +```python +from langgraph_sdk import get_client + +# If you're using a remote server, initialize the client with `get_client(url=REMOTE_URL)` +client = get_client() + +# List all assistants +assistants = await client.assistants.search() + +# We auto-create an assistant for each graph you register in config. +agent = assistants[0] + +# Start a new thread +thread = await client.threads.create() + +# Start a streaming run +input = {"messages": [{"role": "human", "content": "what's the weather in la"}]} +async for chunk in client.runs.stream(thread['thread_id'], agent['assistant_id'], input=input): + print(chunk) +``` \ No newline at end of file diff --git a/libs/sdk-py/langgraph_sdk/__init__.py b/libs/sdk-py/langgraph_sdk/__init__.py new file mode 100644 index 000000000..4af615310 --- /dev/null +++ b/libs/sdk-py/langgraph_sdk/__init__.py @@ -0,0 +1,10 @@ +from langgraph_sdk.client import get_client + +try: + from importlib import metadata + + __version__ = metadata.version(__package__) +except metadata.PackageNotFoundError: + __version__ = "unknown" + +__all__ = ["get_client"] diff --git a/libs/sdk-py/langgraph_sdk/client.py b/libs/sdk-py/langgraph_sdk/client.py new file mode 100644 index 000000000..bfdf9a28a --- /dev/null +++ b/libs/sdk-py/langgraph_sdk/client.py @@ -0,0 +1,705 @@ +from __future__ import annotations + +import asyncio +import logging +import os +import sys +from typing import Any, AsyncIterator, Dict, List, NamedTuple, Optional, Union, overload + +import httpx +import httpx_sse +import orjson +from httpx._types import QueryParamTypes + +import langgraph_sdk +from langgraph_sdk.schema import ( + Assistant, + Config, + GraphSchema, + Metadata, + MultitaskStrategy, + Run, + StreamMode, + Thread, + ThreadState, +) + +logger = logging.getLogger(__name__) + + +def get_client( + *, url: str = "http://localhost:8123", api_key: Optional[str] = None +) -> LangGraphClient: + """Get a LangGraphClient instance. + + Args: + url (str, optional): The URL of the LangGraph API. Defaults to "http://localhost:8123". + api_key (str, optional): The API key. If not provided, it will be read from the environment. + Precedence: + 1. explicit argument + 2. LANGGRAPH_API_KEY + 3. LANGSMITH_API_KEY + 4. LANGCHAIN_API_KEY + """ + headers = { + "User-Agent": f"langgraph-sdk-py/{langgraph_sdk.__version__}", + } + api_key = _get_api_key(api_key) + if api_key: + headers["x-api-key"] = api_key + client = httpx.AsyncClient( + base_url=url, + transport=httpx.AsyncHTTPTransport(retries=5), + timeout=httpx.Timeout(connect=5, read=60, write=60, pool=5), + headers=headers, + ) + return LangGraphClient(client) + + +class StreamPart(NamedTuple): + event: str + data: dict + + +class LangGraphClient: + def __init__(self, client: httpx.AsyncClient) -> None: + self.http = HttpClient(client) + self.assistants = AssistantsClient(self.http) + self.threads = ThreadsClient(self.http) + self.runs = RunsClient(self.http) + self.crons = CronClient(self.http) + + +class HttpClient: + def __init__(self, client: httpx.AsyncClient) -> None: + self.client = client + + async def get(self, path: str, *, params: Optional[QueryParamTypes] = None) -> Any: + """Make a GET request.""" + r = await self.client.get(path, params=params) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await r.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + return await decode_json(r) + + async def post(self, path: str, *, json: Optional[dict]) -> Any: + """Make a POST request.""" + if json is not None: + headers, content = await encode_json(json) + else: + headers, content = {}, b"" + r = await self.client.post(path, headers=headers, content=content) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await r.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + return await decode_json(r) + + async def put(self, path: str, *, json: dict) -> Any: + """Make a PUT request.""" + headers, content = await encode_json(json) + r = await self.client.put(path, headers=headers, content=content) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await r.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + return await decode_json(r) + + async def patch(self, path: str, *, json: dict) -> Any: + """Make a PATCH request.""" + headers, content = await encode_json(json) + r = await self.client.patch(path, headers=headers, content=content) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await r.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + return await decode_json(r) + + async def delete(self, path: str) -> None: + """Make a DELETE request.""" + r = await self.client.delete(path) + try: + r.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await r.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + + async def stream( + self, path: str, method: str, *, json: Optional[dict] = None + ) -> AsyncIterator[StreamPart]: + """Stream the results of a request using SSE.""" + headers, content = await encode_json(json) + async with httpx_sse.aconnect_sse( + self.client, method, path, headers=headers, content=content + ) as sse: + try: + sse.response.raise_for_status() + except httpx.HTTPStatusError as e: + body = (await sse.response.aread()).decode() + if sys.version_info >= (3, 11): + e.add_note(body) + else: + logger.error(f"Error from langgraph-api: {body}", exc_info=e) + raise e + async for event in sse.aiter_sse(): + yield StreamPart( + event.event, orjson.loads(event.data) if event.data else None + ) + + +def _orjson_default(obj: Any) -> Any: + if hasattr(obj, "model_dump") and callable(obj.model_dump): + return obj.model_dump() + elif hasattr(obj, "dict") and callable(obj.dict): + return obj.dict() + elif isinstance(obj, (set, frozenset)): + return list(obj) + else: + raise TypeError(f"Object of type {type(obj)} is not JSON serializable") + + +async def encode_json(json: Any) -> tuple[dict[str, str], bytes]: + body = await asyncio.get_running_loop().run_in_executor( + None, + orjson.dumps, + json, + _orjson_default, + orjson.OPT_SERIALIZE_NUMPY | orjson.OPT_NON_STR_KEYS, + ) + content_length = str(len(body)) + content_type = "application/json" + headers = {"Content-Length": content_length, "Content-Type": content_type} + return headers, body + + +async def decode_json(r: httpx.Response) -> Any: + body = await r.aread() + return ( + await asyncio.get_running_loop().run_in_executor(None, orjson.loads, body) + if body + else None + ) + + +class AssistantsClient: + def __init__(self, http: HttpClient) -> None: + self.http = http + + async def get(self, assistant_id: str) -> Assistant: + """Get an assistant by ID.""" + return await self.http.get(f"/assistants/{assistant_id}") + + async def get_graph(self, assistant_id: str) -> dict[str, list[dict[str, Any]]]: + """Get the graph of an assistant by ID.""" + return await self.http.get(f"/assistants/{assistant_id}/graph") + + async def get_schemas(self, assistant_id: str) -> GraphSchema: + """Get the schemas of an assistant by ID.""" + return await self.http.get(f"/assistants/{assistant_id}/schemas") + + async def create( + self, + graph_id: Optional[str], + config: Optional[Config] = None, + *, + metadata: Metadata = None, + assistant_id: Optional[str] = None, + ) -> Assistant: + """Create a new assistant.""" + payload: Dict[str, Any] = { + "graph_id": graph_id, + } + if config: + payload["config"] = config + if metadata: + payload["metadata"] = metadata + if assistant_id: + payload["assistant_id"] = assistant_id + return await self.http.post("/assistants", json=payload) + + async def update( + self, + assistant_id: str, + *, + graph_id: Optional[str] = None, + config: Optional[Config] = None, + metadata: Metadata = None, + ) -> Assistant: + """Update an assistant.""" + payload: Dict[str, Any] = {} + if graph_id: + payload["graph_id"] = graph_id + if config: + payload["config"] = config + if metadata: + payload["metadata"] = metadata + return await self.http.patch( + f"/assistants/{assistant_id}", + json=payload, + ) + + async def delete( + self, + assistant_id: str, + ) -> None: + """Delete an assistant.""" + await self.http.delete(f"/assistants/{assistant_id}") + + async def search( + self, *, metadata: Metadata = None, limit: int = 10, offset: int = 0 + ) -> list[Assistant]: + payload: Dict[str, Any] = { + "limit": limit, + "offset": offset, + } + if metadata: + payload["metadata"] = metadata + """Search for assistants.""" + return await self.http.post( + "/assistants/search", + json=payload, + ) + + +class ThreadsClient: + def __init__(self, http: HttpClient) -> None: + self.http = http + + async def get(self, thread_id: str) -> Thread: + """Get a thread by ID.""" + return await self.http.get(f"/threads/{thread_id}") + + async def create( + self, + *, + metadata: Metadata = None, + thread_id: Optional[str] = None, + ) -> Thread: + """Create a new thread.""" + payload: Dict[str, Any] = {} + if thread_id: + payload["thread_id"] = thread_id + if metadata: + payload["metadata"] = metadata + return await self.http.post("/threads", json=payload) + + async def update(self, thread_id: str, *, metadata: dict[str, Any]) -> Thread: + """Update a thread.""" + return await self.http.patch( + f"/threads/{thread_id}", json={"metadata": metadata} + ) + + async def delete(self, thread_id: str) -> None: + """Delete a thread.""" + await self.http.delete(f"/threads/{thread_id}") + + async def search( + self, *, metadata: Metadata = None, limit: int = 10, offset: int = 0 + ) -> list[Thread]: + """Search for threads.""" + payload: Dict[str, Any] = { + "limit": limit, + "offset": offset, + } + if metadata: + payload["metadata"] = metadata + return await self.http.post( + "/threads/search", + json=payload, + ) + + async def get_state( + self, thread_id: str, checkpoint_id: Optional[str] = None + ) -> ThreadState: + """Get the state of a thread.""" + if checkpoint_id: + return await self.http.get(f"/threads/{thread_id}/state/{checkpoint_id}") + else: + return await self.http.get(f"/threads/{thread_id}/state") + + async def update_state( + self, + thread_id: str, + values: dict, + *, + as_node: Optional[str] = None, + checkpoint_id: Optional[str] = None, + ) -> None: + """Update the state of a thread.""" + payload: Dict[str, Any] = { + "values": values, + } + if checkpoint_id: + payload["checkpoint_id"] = checkpoint_id + if as_node: + payload["as_node"] = as_node + return await self.http.post(f"/threads/{thread_id}/state", json=payload) + + async def patch_state( + self, + thread_id: Union[str, Config], + metadata: dict, + ) -> None: + """Patch the state of a thread.""" + if isinstance(thread_id, dict): + thread_id_: str = thread_id["configurable"]["thread_id"] + else: + thread_id_ = thread_id + return await self.http.patch( + f"/threads/{thread_id_}/state", + json={"metadata": metadata}, + ) + + async def get_history( + self, + thread_id: str, + limit: int = 10, + before: Optional[str] = None, + metadata: Optional[dict] = None, + ) -> list[ThreadState]: + """Get the history of a thread.""" + payload: Dict[str, Any] = { + "limit": limit, + } + if before: + payload["before"] = before + if metadata: + payload["metadata"] = metadata + return await self.http.post(f"/threads/{thread_id}/history", json=payload) + + +class RunsClient: + def __init__(self, http: HttpClient) -> None: + self.http = http + + @overload + def stream( + self, + thread_id: str, + assistant_id: str, + *, + input: Optional[dict] = None, + stream_mode: Union[StreamMode, list[StreamMode]] = "values", + metadata: Optional[dict] = None, + config: Optional[Config] = None, + checkpoint_id: Optional[str] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + feedback_keys: Optional[list[str]] = None, + multitask_strategy: Optional[MultitaskStrategy] = None, + ) -> AsyncIterator[StreamPart]: + ... + + @overload + def stream( + self, + thread_id: None, + assistant_id: str, + *, + input: Optional[dict] = None, + stream_mode: Union[StreamMode, list[StreamMode]] = "values", + metadata: Optional[dict] = None, + config: Optional[Config] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + feedback_keys: Optional[list[str]] = None, + ) -> AsyncIterator[StreamPart]: + ... + + def stream( + self, + thread_id: Optional[str], + assistant_id: str, + *, + input: Optional[dict] = None, + stream_mode: Union[StreamMode, list[StreamMode]] = "values", + metadata: Optional[dict] = None, + config: Optional[Config] = None, + checkpoint_id: Optional[str] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + feedback_keys: Optional[list[str]] = None, + multitask_strategy: Optional[MultitaskStrategy] = None, + ) -> AsyncIterator[StreamPart]: + """Create a run and stream the results.""" + payload = { + "input": input, + "config": config, + "metadata": metadata, + "stream_mode": stream_mode, + "assistant_id": assistant_id, + "interrupt_before": interrupt_before, + "interrupt_after": interrupt_after, + "feedback_keys": feedback_keys, + "checkpoint_id": checkpoint_id, + "multitask_strategy": multitask_strategy, + } + endpoint = ( + f"/threads/{thread_id}/runs/stream" + if thread_id is not None + else "/runs/stream" + ) + return self.http.stream( + endpoint, "POST", json={k: v for k, v in payload.items() if v is not None} + ) + + @overload + async def create( + self, + thread_id: None, + assistant_id: str, + *, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + webhook: Optional[str] = None, + ) -> Run: + ... + + @overload + async def create( + self, + thread_id: str, + assistant_id: str, + *, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + checkpoint_id: Optional[str] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + webhook: Optional[str] = None, + multitask_strategy: Optional[MultitaskStrategy] = None, + ) -> Run: + ... + + async def create( + self, + thread_id: Optional[str], + assistant_id: str, + *, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + checkpoint_id: Optional[str] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + webhook: Optional[str] = None, + multitask_strategy: Optional[MultitaskStrategy] = None, + ) -> Run: + """Create a background run.""" + payload = { + "input": input, + "config": config, + "metadata": metadata, + "assistant_id": assistant_id, + "interrupt_before": interrupt_before, + "interrupt_after": interrupt_after, + "webhook": webhook, + "checkpoint_id": checkpoint_id, + "multitask_strategy": multitask_strategy, + } + payload = {k: v for k, v in payload.items() if v is not None} + if thread_id: + return await self.http.post(f"/threads/{thread_id}/runs", json=payload) + else: + return await self.http.post("/runs", json=payload) + + @overload + async def wait( + self, + thread_id: str, + assistant_id: str, + *, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + checkpoint_id: Optional[str] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + multitask_strategy: Optional[MultitaskStrategy] = None, + ) -> Union[list[dict], dict[str, Any]]: + ... + + @overload + async def wait( + self, + thread_id: None, + assistant_id: str, + *, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + ) -> Union[list[dict], dict[str, Any]]: + ... + + async def wait( + self, + thread_id: Optional[str], + assistant_id: str, + *, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + checkpoint_id: Optional[str] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + multitask_strategy: Optional[MultitaskStrategy] = None, + ) -> Union[list[dict], dict[str, Any]]: + """Create a run, wait for and return the final state.""" + payload = { + "input": input, + "config": config, + "metadata": metadata, + "assistant_id": assistant_id, + "interrupt_before": interrupt_before, + "interrupt_after": interrupt_after, + "checkpoint_id": checkpoint_id, + "multitask_strategy": multitask_strategy, + } + endpoint = ( + f"/threads/{thread_id}/runs/wait" if thread_id is not None else "/runs/wait" + ) + return await self.http.post( + endpoint, json={k: v for k, v in payload.items() if v is not None} + ) + + async def list( + self, thread_id: str, *, limit: int = 10, offset: int = 0 + ) -> List[Run]: + """List runs.""" + return await self.http.get( + f"/threads/{thread_id}/runs?limit={limit}&offset={offset}" + ) + + async def get(self, thread_id: str, run_id: str) -> Run: + """Get a run.""" + return await self.http.get(f"/threads/{thread_id}/runs/{run_id}") + + async def cancel(self, thread_id: str, run_id: str, *, wait: bool = False) -> None: + """Get a run.""" + return await self.http.post( + f"/threads/{thread_id}/runs/{run_id}/cancel?wait={1 if wait else 0}", + json=None, + ) + + async def join(self, thread_id: str, run_id: str) -> None: + """Block until a run is done.""" + return await self.http.get(f"/threads/{thread_id}/runs/{run_id}/join") + + async def delete(self, thread_id: str, run_id: str) -> None: + """Delete a run.""" + await self.http.delete(f"/threads/{thread_id}/runs/{run_id}") + + +class CronClient: + def __init__(self, http_client: HttpClient) -> None: + self.http = http_client + + async def create_for_thread( + self, + thread_id: str, + assistant_id: str, + *, + schedule: str, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + webhook: Optional[str] = None, + multitask_strategy: Optional[str] = None, + ) -> Run: + """Create a background run.""" + payload = { + "schedule": schedule, + "input": input, + "config": config, + "metadata": metadata, + "assistant_id": assistant_id, + "interrupt_before": interrupt_before, + "interrupt_after": interrupt_after, + "webhook": webhook, + } + if multitask_strategy: + payload["multitask_strategy"] = multitask_strategy + payload = {k: v for k, v in payload.items() if v is not None} + return await self.http.post(f"/threads/{thread_id}/runs/crons", json=payload) + + async def create( + self, + assistant_id: str, + *, + schedule: str, + input: Optional[dict] = None, + metadata: Optional[dict] = None, + config: Optional[Config] = None, + interrupt_before: Optional[list[str]] = None, + interrupt_after: Optional[list[str]] = None, + webhook: Optional[str] = None, + multitask_strategy: Optional[str] = None, + ) -> Run: + """Create a background run.""" + payload = { + "schedule": schedule, + "input": input, + "config": config, + "metadata": metadata, + "assistant_id": assistant_id, + "interrupt_before": interrupt_before, + "interrupt_after": interrupt_after, + "webhook": webhook, + } + if multitask_strategy: + payload["multitask_strategy"] = multitask_strategy + payload = {k: v for k, v in payload.items() if v is not None} + return await self.http.post("/runs/crons", json=payload) + + async def delete(self, cron_id: str) -> None: + """Delete a cron.""" + await self.http.delete(f"/runs/crons/{cron_id}") + + +def _get_api_key(api_key: Optional[str] = None) -> Optional[str]: + """Get the API key from the environment. + Precedence: + 1. explicit argument + 2. LANGGRAPH_API_KEY + 3. LANGSMITH_API_KEY + 4. LANGCHAIN_API_KEY + """ + if api_key: + return api_key + for prefix in ["LANGGRAPH", "LANGSMITH", "LANGCHAIN"]: + if env := os.getenv(f"{prefix}_API_KEY"): + return env.strip().strip('"').strip("'") + return None # type: ignore diff --git a/libs/sdk-py/langgraph_sdk/schema.py b/libs/sdk-py/langgraph_sdk/schema.py new file mode 100644 index 000000000..63423ff4c --- /dev/null +++ b/libs/sdk-py/langgraph_sdk/schema.py @@ -0,0 +1,107 @@ +from datetime import datetime +from typing import Any, Literal, Optional, Sequence, TypedDict, Union + +Metadata = Optional[dict[str, Any]] + +RunStatus = Literal["pending", "running", "error", "success", "timeout", "interrupted"] + +StreamMode = Literal["values", "messages", "updates", "events", "debug"] + +MultitaskStrategy = Literal["reject", "interrupt", "rollback", "enqueue"] + +All = Literal["*"] + + +class Config(TypedDict, total=False): + tags: list[str] + """ + Tags for this call and any sub-calls (eg. a Chain calling an LLM). + You can use these to filter calls. + """ + + recursion_limit: int + """ + Maximum number of times a call can recurse. If not provided, defaults to 25. + """ + + configurable: dict[str, Any] + """ + Runtime values for attributes previously made configurable on this Runnable, + or sub-Runnables, through .configurable_fields() or .configurable_alternatives(). + Check .output_schema() for a description of the attributes that have been made + configurable. + """ + + +class GraphSchema(TypedDict): + """Graph model.""" + + graph_id: str + """The ID of the graph.""" + state_schema: dict + """The schema for the graph state.""" + config_schema: dict + """The schema for the graph config.""" + + +class Assistant(TypedDict): + """Assistant model.""" + + assistant_id: str + """The ID of the assistant.""" + graph_id: str + """The ID of the graph.""" + config: Config + """The assistant config.""" + created_at: datetime + """The time the assistant was created.""" + updated_at: datetime + """The last time the assistant was updated.""" + metadata: Metadata + """The assistant metadata.""" + + +class Thread(TypedDict): + thread_id: str + """The ID of the thread.""" + created_at: datetime + """The time the thread was created.""" + updated_at: datetime + """The last time the thread was updated.""" + metadata: Metadata + """The thread metadata.""" + multitask_strategy: MultitaskStrategy + """The multitask strategy for this thread.""" + + +class ThreadState(TypedDict): + values: Union[list[dict], dict[str, Any]] + """The state values.""" + next: Sequence[str] + """The next nodes to execute. If empty, the thread is done until new input is + received.""" + checkpoint_id: str + """The ID of the checkpoint.""" + metadata: Metadata + """Metadata for this state""" + created_at: Optional[str] + """Timestamp of state creation""" + parent_checkpoint_id: Optional[str] + """The ID of the parent checkpoint. If missing, this is the root checkpoint.""" + + +class Run(TypedDict): + run_id: str + """The ID of the run.""" + thread_id: str + """The ID of the thread.""" + assistant_id: str + """The assistant that was used for this run.""" + created_at: datetime + """The time the run was created.""" + updated_at: datetime + """The last time the run was updated.""" + status: RunStatus + """The status of the run. 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