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Merge branch 'master' into parameterless_function_tools_fix_2

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26
.github/ISSUE_TEMPLATE/bug-report.yml vendored
View File

@ -96,25 +96,21 @@ body:
attributes:
label: System Info
description: |
Please share your system info with us.
Please share your system info with us. Do NOT skip this step and please don't trim
the output. Most users don't include enough information here and it makes it harder
for us to help you.
"pip freeze | grep langchain"
platform (windows / linux / mac)
python version
OR if you're on a recent version of langchain-core you can paste the output of:
Run the following command in your terminal and paste the output here:
python -m langchain_core.sys_info
or if you have an existing python interpreter running:
from langchain_core import sys_info
sys_info.print_sys_info()
alternatively, put the entire output of `pip freeze` here.
placeholder: |
"pip freeze | grep langchain"
platform
python version
Alternatively, if you're on a recent version of langchain-core you can paste the output of:
python -m langchain_core.sys_info
These will only surface LangChain packages, don't forget to include any other relevant
packages you're using (if you're not sure what's relevant, you can paste the entire output of `pip freeze`).
validations:
required: true

2
.github/PULL_REQUEST_TEMPLATE.md vendored
View File

@ -1,7 +1,7 @@
Thank you for contributing to LangChain!
- [ ] **PR title**: "package: description"
- Where "package" is whichever of langchain, community, core, experimental, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes.
- Where "package" is whichever of langchain, community, core, etc. is being modified. Use "docs: ..." for purely docs changes, "templates: ..." for template changes, "infra: ..." for CI changes.
- Example: "community: add foobar LLM"

111
.github/scripts/check_diff.py vendored
View File

@ -2,10 +2,12 @@ import glob
import json
import os
import sys
import tomllib
from collections import defaultdict
from typing import Dict, List, Set
from pathlib import Path
import tomllib
from get_min_versions import get_min_version_from_toml
LANGCHAIN_DIRS = [
@ -13,9 +15,14 @@ LANGCHAIN_DIRS = [
"libs/text-splitters",
"libs/langchain",
"libs/community",
"libs/experimental",
]
# when set to True, we are ignoring core dependents
# in order to be able to get CI to pass for each individual
# package that depends on core
# e.g. if you touch core, we don't then add textsplitters/etc to CI
IGNORE_CORE_DEPENDENTS = False
# ignored partners are removed from dependents
# but still run if directly edited
IGNORED_PARTNERS = [
@ -99,44 +106,101 @@ def add_dependents(dirs_to_eval: Set[str], dependents: dict) -> List[str]:
def _get_configs_for_single_dir(job: str, dir_: str) -> List[Dict[str, str]]:
if dir_ == "libs/core":
return [
{"working-directory": dir_, "python-version": f"3.{v}"}
for v in range(8, 13)
]
min_python = "3.8"
max_python = "3.12"
if job == "test-pydantic":
return _get_pydantic_test_configs(dir_)
if dir_ == "libs/core":
py_versions = ["3.9", "3.10", "3.11", "3.12"]
# custom logic for specific directories
if dir_ == "libs/partners/milvus":
elif dir_ == "libs/partners/milvus":
# milvus poetry doesn't allow 3.12 because they
# declare deps in funny way
max_python = "3.11"
py_versions = ["3.9", "3.11"]
if dir_ in ["libs/community", "libs/langchain"] and job == "extended-tests":
elif dir_ in ["libs/community", "libs/langchain"] and job == "extended-tests":
# community extended test resolution in 3.12 is slow
# even in uv
max_python = "3.11"
py_versions = ["3.9", "3.11"]
if dir_ == "libs/community" and job == "compile-integration-tests":
elif dir_ == "libs/community" and job == "compile-integration-tests":
# community integration deps are slow in 3.12
max_python = "3.11"
py_versions = ["3.9", "3.11"]
else:
py_versions = ["3.9", "3.12"]
return [
{"working-directory": dir_, "python-version": min_python},
{"working-directory": dir_, "python-version": max_python},
return [{"working-directory": dir_, "python-version": py_v} for py_v in py_versions]
def _get_pydantic_test_configs(
dir_: str, *, python_version: str = "3.11"
) -> List[Dict[str, str]]:
with open("./libs/core/poetry.lock", "rb") as f:
core_poetry_lock_data = tomllib.load(f)
for package in core_poetry_lock_data["package"]:
if package["name"] == "pydantic":
core_max_pydantic_minor = package["version"].split(".")[1]
break
with open(f"./{dir_}/poetry.lock", "rb") as f:
dir_poetry_lock_data = tomllib.load(f)
for package in dir_poetry_lock_data["package"]:
if package["name"] == "pydantic":
dir_max_pydantic_minor = package["version"].split(".")[1]
break
core_min_pydantic_version = get_min_version_from_toml(
"./libs/core/pyproject.toml", "release", python_version, include=["pydantic"]
)["pydantic"]
core_min_pydantic_minor = (
core_min_pydantic_version.split(".")[1]
if "." in core_min_pydantic_version
else "0"
)
dir_min_pydantic_version = get_min_version_from_toml(
f"./{dir_}/pyproject.toml", "release", python_version, include=["pydantic"]
).get("pydantic", "0.0.0")
dir_min_pydantic_minor = (
dir_min_pydantic_version.split(".")[1]
if "." in dir_min_pydantic_version
else "0"
)
custom_mins = {
# depends on pydantic-settings 2.4 which requires pydantic 2.7
"libs/community": 7,
}
max_pydantic_minor = min(
int(dir_max_pydantic_minor),
int(core_max_pydantic_minor),
)
min_pydantic_minor = max(
int(dir_min_pydantic_minor),
int(core_min_pydantic_minor),
custom_mins.get(dir_, 0),
)
configs = [
{
"working-directory": dir_,
"pydantic-version": f"2.{v}.0",
"python-version": python_version,
}
for v in range(min_pydantic_minor, max_pydantic_minor + 1)
]
return configs
def _get_configs_for_multi_dirs(
job: str, dirs_to_run: List[str], dependents: dict
job: str, dirs_to_run: Dict[str, Set[str]], dependents: dict
) -> List[Dict[str, str]]:
if job == "lint":
dirs = add_dependents(
dirs_to_run["lint"] | dirs_to_run["test"] | dirs_to_run["extended-test"],
dependents,
)
elif job in ["test", "compile-integration-tests", "dependencies"]:
elif job in ["test", "compile-integration-tests", "dependencies", "test-pydantic"]:
dirs = add_dependents(
dirs_to_run["test"] | dirs_to_run["extended-test"], dependents
)
@ -165,6 +229,7 @@ if __name__ == "__main__":
dirs_to_run["lint"] = all_package_dirs()
dirs_to_run["test"] = all_package_dirs()
dirs_to_run["extended-test"] = set(LANGCHAIN_DIRS)
for file in files:
if any(
file.startswith(dir_)
@ -182,8 +247,12 @@ if __name__ == "__main__":
if any(file.startswith(dir_) for dir_ in LANGCHAIN_DIRS):
# add that dir and all dirs after in LANGCHAIN_DIRS
# for extended testing
found = False
for dir_ in LANGCHAIN_DIRS:
if dir_ == "libs/core" and IGNORE_CORE_DEPENDENTS:
dirs_to_run["extended-test"].add(dir_)
continue
if file.startswith(dir_):
found = True
if found:
@ -224,7 +293,6 @@ if __name__ == "__main__":
# we now have dirs_by_job
# todo: clean this up
map_job_to_configs = {
job: _get_configs_for_multi_dirs(job, dirs_to_run, dependents)
for job in [
@ -233,6 +301,7 @@ if __name__ == "__main__":
"extended-tests",
"compile-integration-tests",
"dependencies",
"test-pydantic",
]
}
map_job_to_configs["test-doc-imports"] = (

2
.github/scripts/check_prerelease_dependencies.py vendored
View File

@ -11,7 +11,7 @@ if __name__ == "__main__":
# see if we're releasing an rc
version = toml_data["tool"]["poetry"]["version"]
releasing_rc = "rc" in version
releasing_rc = "rc" in version or "dev" in version
# if not, iterate through dependencies and make sure none allow prereleases
if not releasing_rc:

53
.github/scripts/get_min_versions.py vendored
View File

@ -1,4 +1,5 @@
import sys
from typing import Optional
if sys.version_info >= (3, 11):
import tomllib
@ -7,6 +8,9 @@ else:
import tomli as tomllib
from packaging.version import parse as parse_version
from packaging.specifiers import SpecifierSet
from packaging.version import Version
import re
MIN_VERSION_LIBS = [
@ -17,7 +21,14 @@ MIN_VERSION_LIBS = [
"SQLAlchemy",
]
SKIP_IF_PULL_REQUEST = ["langchain-core"]
# some libs only get checked on release because of simultaneous changes in
# multiple libs
SKIP_IF_PULL_REQUEST = [
"langchain-core",
"langchain-text-splitters",
"langchain",
"langchain-community",
]
def get_min_version(version: str) -> str:
@ -45,7 +56,13 @@ def get_min_version(version: str) -> str:
raise ValueError(f"Unrecognized version format: {version}")
def get_min_version_from_toml(toml_path: str, versions_for: str):
def get_min_version_from_toml(
toml_path: str,
versions_for: str,
python_version: str,
*,
include: Optional[list] = None,
):
# Parse the TOML file
with open(toml_path, "rb") as file:
toml_data = tomllib.load(file)
@ -57,18 +74,26 @@ def get_min_version_from_toml(toml_path: str, versions_for: str):
min_versions = {}
# Iterate over the libs in MIN_VERSION_LIBS
for lib in MIN_VERSION_LIBS:
for lib in set(MIN_VERSION_LIBS + (include or [])):
if versions_for == "pull_request" and lib in SKIP_IF_PULL_REQUEST:
# some libs only get checked on release because of simultaneous
# changes
# changes in multiple libs
continue
# Check if the lib is present in the dependencies
if lib in dependencies:
if include and lib not in include:
continue
# Get the version string
version_string = dependencies[lib]
if isinstance(version_string, dict):
version_string = version_string["version"]
if isinstance(version_string, list):
version_string = [
vs
for vs in version_string
if check_python_version(python_version, vs["python"])
][0]["version"]
# Use parse_version to get the minimum supported version from version_string
min_version = get_min_version(version_string)
@ -79,13 +104,31 @@ def get_min_version_from_toml(toml_path: str, versions_for: str):
return min_versions
def check_python_version(version_string, constraint_string):
"""
Check if the given Python version matches the given constraints.
:param version_string: A string representing the Python version (e.g. "3.8.5").
:param constraint_string: A string representing the package's Python version constraints (e.g. ">=3.6, <4.0").
:return: True if the version matches the constraints, False otherwise.
"""
try:
version = Version(version_string)
constraints = SpecifierSet(constraint_string)
return version in constraints
except Exception as e:
print(f"Error: {e}")
return False
if __name__ == "__main__":
# Get the TOML file path from the command line argument
toml_file = sys.argv[1]
versions_for = sys.argv[2]
python_version = sys.argv[3]
assert versions_for in ["release", "pull_request"]
# Call the function to get the minimum versions
min_versions = get_min_version_from_toml(toml_file, versions_for)
min_versions = get_min_version_from_toml(toml_file, versions_for, python_version)
print(" ".join([f"{lib}=={version}" for lib, version in min_versions.items()]))

114
.github/workflows/_dependencies.yml vendored
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@ -1,114 +0,0 @@
name: dependencies
on:
workflow_call:
inputs:
working-directory:
required: true
type: string
description: "From which folder this pipeline executes"
langchain-location:
required: false
type: string
description: "Relative path to the langchain library folder"
python-version:
required: true
type: string
description: "Python version to use"
env:
POETRY_VERSION: "1.7.1"
jobs:
build:
defaults:
run:
working-directory: ${{ inputs.working-directory }}
runs-on: ubuntu-latest
name: dependency checks ${{ inputs.python-version }}
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ inputs.python-version }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
python-version: ${{ inputs.python-version }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: pydantic-cross-compat
- name: Install dependencies
shell: bash
run: poetry install
- name: Check imports with base dependencies
shell: bash
run: poetry run make check_imports
- name: Install test dependencies
shell: bash
run: poetry install --with test
- name: Install langchain editable
working-directory: ${{ inputs.working-directory }}
if: ${{ inputs.langchain-location }}
env:
LANGCHAIN_LOCATION: ${{ inputs.langchain-location }}
run: |
poetry run pip install -e "$LANGCHAIN_LOCATION"
- name: Install the opposite major version of pydantic
# If normal tests use pydantic v1, here we'll use v2, and vice versa.
shell: bash
# airbyte currently doesn't support pydantic v2
if: ${{ !startsWith(inputs.working-directory, 'libs/partners/airbyte') }}
run: |
# Determine the major part of pydantic version
REGULAR_VERSION=$(poetry run python -c "import pydantic; print(pydantic.__version__)" | cut -d. -f1)
if [[ "$REGULAR_VERSION" == "1" ]]; then
PYDANTIC_DEP=">=2.1,<3"
TEST_WITH_VERSION="2"
elif [[ "$REGULAR_VERSION" == "2" ]]; then
PYDANTIC_DEP="<2"
TEST_WITH_VERSION="1"
else
echo "Unexpected pydantic major version '$REGULAR_VERSION', cannot determine which version to use for cross-compatibility test."
exit 1
fi
# Install via `pip` instead of `poetry add` to avoid changing lockfile,
# which would prevent caching from working: the cache would get saved
# to a different key than where it gets loaded from.
poetry run pip install "pydantic${PYDANTIC_DEP}"
# Ensure that the correct pydantic is installed now.
echo "Checking pydantic version... Expecting ${TEST_WITH_VERSION}"
# Determine the major part of pydantic version
CURRENT_VERSION=$(poetry run python -c "import pydantic; print(pydantic.__version__)" | cut -d. -f1)
# Check that the major part of pydantic version is as expected, if not
# raise an error
if [[ "$CURRENT_VERSION" != "$TEST_WITH_VERSION" ]]; then
echo "Error: expected pydantic version ${CURRENT_VERSION} to have been installed, but found: ${TEST_WITH_VERSION}"
exit 1
fi
echo "Found pydantic version ${CURRENT_VERSION}, as expected"
- name: Run pydantic compatibility tests
# airbyte currently doesn't support pydantic v2
if: ${{ !startsWith(inputs.working-directory, 'libs/partners/airbyte') }}
shell: bash
run: make test
- name: Ensure the tests did not create any additional files
shell: bash
run: |
set -eu
STATUS="$(git status)"
echo "$STATUS"
# grep will exit non-zero if the target message isn't found,
# and `set -e` above will cause the step to fail.
echo "$STATUS" | grep 'nothing to commit, working tree clean'

2
.github/workflows/_integration_test.yml vendored
View File

@ -58,6 +58,7 @@ jobs:
AZURE_OPENAI_API_BASE: ${{ secrets.AZURE_OPENAI_API_BASE }}
AZURE_OPENAI_API_KEY: ${{ secrets.AZURE_OPENAI_API_KEY }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME }}
AZURE_OPENAI_LLM_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LLM_DEPLOYMENT_NAME }}
AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME }}
MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }}
@ -67,6 +68,7 @@ jobs:
NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }}
GOOGLE_SEARCH_API_KEY: ${{ secrets.GOOGLE_SEARCH_API_KEY }}
GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }}
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
EXA_API_KEY: ${{ secrets.EXA_API_KEY }}
NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }}
WATSONX_APIKEY: ${{ secrets.WATSONX_APIKEY }}

12
.github/workflows/_lint.yml vendored
View File

@ -7,10 +7,6 @@ on:
required: true
type: string
description: "From which folder this pipeline executes"
langchain-location:
required: false
type: string
description: "Relative path to the langchain library folder"
python-version:
required: true
type: string
@ -63,14 +59,6 @@ jobs:
run: |
poetry install --with lint,typing
- name: Install langchain editable
working-directory: ${{ inputs.working-directory }}
if: ${{ inputs.langchain-location }}
env:
LANGCHAIN_LOCATION: ${{ inputs.langchain-location }}
run: |
poetry run pip install -e "$LANGCHAIN_LOCATION"
- name: Get .mypy_cache to speed up mypy
uses: actions/cache@v4
env:

9
.github/workflows/_release.yml vendored
View File

@ -85,7 +85,7 @@ jobs:
path: langchain
sparse-checkout: | # this only grabs files for relevant dir
${{ inputs.working-directory }}
ref: master # this scopes to just master branch
ref: ${{ github.ref }} # this scopes to just ref'd branch
fetch-depth: 0 # this fetches entire commit history
- name: Check Tags
id: check-tags
@ -164,6 +164,7 @@ jobs:
- name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
id: setup-python
with:
python-version: ${{ env.PYTHON_VERSION }}
poetry-version: ${{ env.POETRY_VERSION }}
@ -231,7 +232,8 @@ jobs:
id: min-version
run: |
poetry run pip install packaging
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release)"
python_version="$(poetry run python --version | awk '{print $2}')"
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml release $python_version)"
echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
echo "min-versions=$min_versions"
@ -267,12 +269,14 @@ jobs:
AZURE_OPENAI_API_BASE: ${{ secrets.AZURE_OPENAI_API_BASE }}
AZURE_OPENAI_API_KEY: ${{ secrets.AZURE_OPENAI_API_KEY }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME }}
AZURE_OPENAI_LLM_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LLM_DEPLOYMENT_NAME }}
AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME }}
NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }}
GOOGLE_SEARCH_API_KEY: ${{ secrets.GOOGLE_SEARCH_API_KEY }}
GOOGLE_CSE_ID: ${{ secrets.GOOGLE_CSE_ID }}
GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
EXA_API_KEY: ${{ secrets.EXA_API_KEY }}
NOMIC_API_KEY: ${{ secrets.NOMIC_API_KEY }}
WATSONX_APIKEY: ${{ secrets.WATSONX_APIKEY }}
@ -290,7 +294,6 @@ jobs:
VOYAGE_API_KEY: ${{ secrets.VOYAGE_API_KEY }}
UPSTAGE_API_KEY: ${{ secrets.UPSTAGE_API_KEY }}
FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
UNSTRUCTURED_API_KEY: ${{ secrets.UNSTRUCTURED_API_KEY }}
run: make integration_tests
working-directory: ${{ inputs.working-directory }}

51
.github/workflows/_test.yml vendored
View File

@ -7,10 +7,6 @@ on:
required: true
type: string
description: "From which folder this pipeline executes"
langchain-location:
required: false
type: string
description: "Relative path to the langchain library folder"
python-version:
required: true
type: string
@ -31,29 +27,41 @@ jobs:
- name: Set up Python ${{ inputs.python-version }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
id: setup-python
with:
python-version: ${{ inputs.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
- name: Install langchain editable
working-directory: ${{ inputs.working-directory }}
if: ${{ inputs.langchain-location }}
env:
LANGCHAIN_LOCATION: ${{ inputs.langchain-location }}
run: |
poetry run pip install -e "$LANGCHAIN_LOCATION"
- name: Run core tests
shell: bash
run: |
make test
- name: Get minimum versions
working-directory: ${{ inputs.working-directory }}
id: min-version
shell: bash
run: |
poetry run pip install packaging tomli
python_version="$(poetry run python --version | awk '{print $2}')"
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml pull_request $python_version)"
echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
echo "min-versions=$min_versions"
- name: Run unit tests with minimum dependency versions
if: ${{ steps.min-version.outputs.min-versions != '' }}
env:
MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
run: |
poetry run pip install $MIN_VERSIONS
make tests
working-directory: ${{ inputs.working-directory }}
- name: Ensure the tests did not create any additional files
shell: bash
run: |
@ -66,20 +74,3 @@ jobs:
# and `set -e` above will cause the step to fail.
echo "$STATUS" | grep 'nothing to commit, working tree clean'
- name: Get minimum versions
working-directory: ${{ inputs.working-directory }}
id: min-version
run: |
poetry run pip install packaging tomli
min_versions="$(poetry run python $GITHUB_WORKSPACE/.github/scripts/get_min_versions.py pyproject.toml pull_request)"
echo "min-versions=$min_versions" >> "$GITHUB_OUTPUT"
echo "min-versions=$min_versions"
- name: Run unit tests with minimum dependency versions
if: ${{ steps.min-version.outputs.min-versions != '' }}
env:
MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
run: |
poetry run pip install --force-reinstall $MIN_VERSIONS --editable .
make tests
working-directory: ${{ inputs.working-directory }}

2
.github/workflows/_test_doc_imports.yml vendored
View File

@ -31,7 +31,7 @@ jobs:
- name: Install langchain editable
run: |
poetry run pip install -e libs/core libs/langchain libs/community libs/experimental
poetry run pip install langchain-experimental -e libs/core libs/langchain libs/community
- name: Check doc imports
shell: bash

64
.github/workflows/_test_pydantic.yml vendored Normal file
View File

@ -0,0 +1,64 @@
name: test pydantic intermediate versions
on:
workflow_call:
inputs:
working-directory:
required: true
type: string
description: "From which folder this pipeline executes"
python-version:
required: false
type: string
description: "Python version to use"
default: "3.11"
pydantic-version:
required: true
type: string
description: "Pydantic version to test."
env:
POETRY_VERSION: "1.7.1"
jobs:
build:
defaults:
run:
working-directory: ${{ inputs.working-directory }}
runs-on: ubuntu-latest
name: "make test # pydantic: ~=${{ inputs.pydantic-version }}, python: ${{ inputs.python-version }}, "
steps:
- uses: actions/checkout@v4
- name: Set up Python ${{ inputs.python-version }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
python-version: ${{ inputs.python-version }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: core
- name: Install dependencies
shell: bash
run: poetry install --with test
- name: Overwrite pydantic version
shell: bash
run: poetry run pip install pydantic~=${{ inputs.pydantic-version }}
- name: Run core tests
shell: bash
run: |
make test
- name: Ensure the tests did not create any additional files
shell: bash
run: |
set -eu
STATUS="$(git status)"
echo "$STATUS"
# grep will exit non-zero if the target message isn't found,
# and `set -e` above will cause the step to fail.
echo "$STATUS" | grep 'nothing to commit, working tree clean'

179
.github/workflows/api_doc_build.yml vendored Normal file
View File

@ -0,0 +1,179 @@
name: API docs build
on:
workflow_dispatch:
schedule:
- cron: '0 13 * * *'
env:
POETRY_VERSION: "1.8.1"
PYTHON_VERSION: "3.11"
jobs:
build:
if: github.repository == 'langchain-ai/langchain' || github.event_name != 'schedule'
runs-on: ubuntu-latest
permissions: write-all
steps:
- uses: actions/checkout@v4
with:
path: langchain
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-api-docs-html
path: langchain-api-docs-html
token: ${{ secrets.TOKEN_GITHUB_API_DOCS_HTML }}
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-google
path: langchain-google
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-datastax
path: langchain-datastax
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-nvidia
path: langchain-nvidia
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-cohere
path: langchain-cohere
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-elastic
path: langchain-elastic
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-postgres
path: langchain-postgres
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-aws
path: langchain-aws
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-weaviate
path: langchain-weaviate
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-ai21
path: langchain-ai21
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-together
path: langchain-together
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-experimental
path: langchain-experimental
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-milvus
path: langchain-milvus
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-unstructured
path: langchain-unstructured
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-databricks
path: langchain-databricks
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-ibm
path: langchain-ibm
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-azure
path: langchain-azure
- uses: actions/checkout@v4
with:
repository: langchain-ai/langchain-mongodb
path: langchain-mongodb
- name: Set Git config
working-directory: langchain
run: |
git config --local user.email "actions@github.com"
git config --local user.name "Github Actions"
- name: Move libs
run: |
rm -rf \
langchain/libs/partners/google-genai \
langchain/libs/partners/google-vertexai \
langchain/libs/partners/astradb \
langchain/libs/partners/nvidia-trt \
langchain/libs/partners/nvidia-ai-endpoints \
langchain/libs/partners/cohere \
langchain/libs/partners/elasticsearch \
langchain/libs/partners/upstage \
langchain/libs/partners/ai21 \
langchain/libs/partners/together \
langchain/libs/standard-tests \
langchain/libs/experimental \
langchain/libs/partners/milvus \
langchain/libs/partners/unstructured \
langchain/libs/partners/databricks \
langchain/libs/partners/ibm \
langchain/libs/partners/azure-dynamic-sessions \
langchain/libs/partners/mongodb
mv langchain-google/libs/genai langchain/libs/partners/google-genai
mv langchain-google/libs/vertexai langchain/libs/partners/google-vertexai
mv langchain-google/libs/community langchain/libs/partners/google-community
mv langchain-datastax/libs/astradb langchain/libs/partners/astradb
mv langchain-nvidia/libs/ai-endpoints langchain/libs/partners/nvidia-ai-endpoints
mv langchain-cohere/libs/cohere langchain/libs/partners/cohere
mv langchain-elastic/libs/elasticsearch langchain/libs/partners/elasticsearch
mv langchain-postgres langchain/libs/partners/postgres
mv langchain-aws/libs/aws langchain/libs/partners/aws
mv langchain-weaviate/libs/weaviate langchain/libs/partners/weaviate
mv langchain-ai21/libs/ai21 langchain/libs/partners/ai21
mv langchain-together/libs/together langchain/libs/partners/together
mv langchain-experimental/libs/experimental langchain/libs/experimental
mv langchain-milvus/libs/milvus langchain/libs/partners/milvus
mv langchain-unstructured/libs/unstructured langchain/libs/partners/unstructured
mv langchain-databricks/libs/databricks langchain/libs/partners/databricks
mv langchain-ibm/libs/ibm langchain/libs/partners/ibm
mv langchain-azure/libs/azure-dynamic-sessions langchain/libs/partners/azure-dynamic-sessions
mv langchain-mongodb/libs/mongodb langchain/libs/partners/mongodb
- name: Rm old html
run:
rm -rf langchain-api-docs-html/api_reference_build/html
- name: Set up Python ${{ env.PYTHON_VERSION }} + Poetry ${{ env.POETRY_VERSION }}
uses: "./langchain/.github/actions/poetry_setup"
with:
python-version: ${{ env.PYTHON_VERSION }}
poetry-version: ${{ env.POETRY_VERSION }}
cache-key: api-docs
working-directory: langchain
- name: Install dependencies
working-directory: langchain
run: |
python -m pip install -U uv
python -m uv pip install --upgrade --no-cache-dir pip setuptools
# skip airbyte due to pandas dependency issue
python -m uv pip install $(ls ./libs/partners | grep -vE "airbyte" | xargs -I {} echo "./libs/partners/{}")
python -m uv pip install libs/core libs/langchain libs/text-splitters libs/community libs/experimental
python -m uv pip install -r docs/api_reference/requirements.txt
- name: Build docs
working-directory: langchain
run: |
python docs/api_reference/create_api_rst.py
python -m sphinx -T -E -b html -d ../langchain-api-docs-html/_build/doctrees -c docs/api_reference docs/api_reference ../langchain-api-docs-html/api_reference_build/html -j auto
python docs/api_reference/scripts/custom_formatter.py ../langchain-api-docs-html/api_reference_build/html
# Default index page is blank so we copy in the actual home page.
cp ../langchain-api-docs-html/api_reference_build/html/{reference,index}.html
rm -rf ../langchain-api-docs-html/_build/
# https://github.com/marketplace/actions/add-commit
- uses: EndBug/add-and-commit@v9
with:
cwd: langchain-api-docs-html
message: 'Update API docs build'

2
.github/workflows/check-broken-links.yml vendored
View File

@ -7,7 +7,7 @@ on:
jobs:
check-links:
if: github.repository_owner == 'langchain-ai'
if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule'
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4

36
.github/workflows/check_diffs.yml vendored
View File

@ -31,6 +31,7 @@ jobs:
uses: Ana06/get-changed-files@v2.2.0
- id: set-matrix
run: |
python -m pip install packaging
python .github/scripts/check_diff.py ${{ steps.files.outputs.all }} >> $GITHUB_OUTPUT
outputs:
lint: ${{ steps.set-matrix.outputs.lint }}
@ -39,6 +40,7 @@ jobs:
compile-integration-tests: ${{ steps.set-matrix.outputs.compile-integration-tests }}
dependencies: ${{ steps.set-matrix.outputs.dependencies }}
test-doc-imports: ${{ steps.set-matrix.outputs.test-doc-imports }}
test-pydantic: ${{ steps.set-matrix.outputs.test-pydantic }}
lint:
name: cd ${{ matrix.job-configs.working-directory }}
needs: [ build ]
@ -46,6 +48,7 @@ jobs:
strategy:
matrix:
job-configs: ${{ fromJson(needs.build.outputs.lint) }}
fail-fast: false
uses: ./.github/workflows/_lint.yml
with:
working-directory: ${{ matrix.job-configs.working-directory }}
@ -59,18 +62,34 @@ jobs:
strategy:
matrix:
job-configs: ${{ fromJson(needs.build.outputs.test) }}
fail-fast: false
uses: ./.github/workflows/_test.yml
with:
working-directory: ${{ matrix.job-configs.working-directory }}
python-version: ${{ matrix.job-configs.python-version }}
secrets: inherit
test-pydantic:
name: cd ${{ matrix.job-configs.working-directory }}
needs: [ build ]
if: ${{ needs.build.outputs.test-pydantic != '[]' }}
strategy:
matrix:
job-configs: ${{ fromJson(needs.build.outputs.test-pydantic) }}
fail-fast: false
uses: ./.github/workflows/_test_pydantic.yml
with:
working-directory: ${{ matrix.job-configs.working-directory }}
pydantic-version: ${{ matrix.job-configs.pydantic-version }}
secrets: inherit
test-doc-imports:
needs: [ build ]
if: ${{ needs.build.outputs.test-doc-imports != '[]' }}
strategy:
matrix:
job-configs: ${{ fromJson(needs.build.outputs.test-doc-imports) }}
fail-fast: false
uses: ./.github/workflows/_test_doc_imports.yml
secrets: inherit
with:
@ -83,25 +102,13 @@ jobs:
strategy:
matrix:
job-configs: ${{ fromJson(needs.build.outputs.compile-integration-tests) }}
fail-fast: false
uses: ./.github/workflows/_compile_integration_test.yml
with:
working-directory: ${{ matrix.job-configs.working-directory }}
python-version: ${{ matrix.job-configs.python-version }}
secrets: inherit
dependencies:
name: cd ${{ matrix.job-configs.working-directory }}
needs: [ build ]
if: ${{ needs.build.outputs.dependencies != '[]' }}
strategy:
matrix:
job-configs: ${{ fromJson(needs.build.outputs.dependencies) }}
uses: ./.github/workflows/_dependencies.yml
with:
working-directory: ${{ matrix.job-configs.working-directory }}
python-version: ${{ matrix.job-configs.python-version }}
secrets: inherit
extended-tests:
name: "cd ${{ matrix.job-configs.working-directory }} / make extended_tests #${{ matrix.job-configs.python-version }}"
needs: [ build ]
@ -110,6 +117,7 @@ jobs:
matrix:
# note different variable for extended test dirs
job-configs: ${{ fromJson(needs.build.outputs.extended-tests) }}
fail-fast: false
runs-on: ubuntu-latest
defaults:
run:
@ -149,7 +157,7 @@ jobs:
echo "$STATUS" | grep 'nothing to commit, working tree clean'
ci_success:
name: "CI Success"
needs: [build, lint, test, compile-integration-tests, dependencies, extended-tests, test-doc-imports]
needs: [build, lint, test, compile-integration-tests, extended-tests, test-doc-imports, test-pydantic]
if: |
always()
runs-on: ubuntu-latest

3
.github/workflows/codespell.yml vendored
View File

@ -3,9 +3,8 @@ name: CI / cd . / make spell_check
on:
push:
branches: [master, v0.1]
branches: [master, v0.1, v0.2]
pull_request:
branches: [master, v0.1]
permissions:
contents: read

2
.github/workflows/people.yml vendored
View File

@ -14,7 +14,7 @@ on:
jobs:
langchain-people:
if: github.repository_owner == 'langchain-ai'
if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule'
runs-on: ubuntu-latest
permissions: write-all
steps:

56
.github/workflows/run_notebooks.yml vendored Normal file
View File

@ -0,0 +1,56 @@
name: Run notebooks
on:
workflow_dispatch:
inputs:
python_version:
description: 'Python version'
required: false
default: '3.11'
working-directory:
description: 'Working directory or subset (e.g., docs/docs/tutorials/llm_chain.ipynb)'
required: false
default: 'all'
schedule:
- cron: '0 13 * * *'
env:
POETRY_VERSION: "1.7.1"
jobs:
build:
runs-on: ubuntu-latest
if: github.repository == 'langchain-ai/langchain' || github.event_name != 'schedule'
name: "Test docs"
steps:
- uses: actions/checkout@v4
- name: Set up Python + Poetry ${{ env.POETRY_VERSION }}
uses: "./.github/actions/poetry_setup"
with:
python-version: ${{ github.event.inputs.python_version || '3.11' }}
poetry-version: ${{ env.POETRY_VERSION }}
working-directory: ${{ inputs.working-directory }}
cache-key: run-notebooks
- name: Install dependencies
run: |
poetry install --with dev,test
- name: Pre-download tiktoken files
run: |
poetry run python docs/scripts/download_tiktoken.py
- name: Prepare notebooks
run: |
poetry run python docs/scripts/prepare_notebooks_for_ci.py --comment-install-cells --working-directory ${{ github.event.inputs.working-directory || 'all' }}
- name: Run notebooks
env:
ANTHROPIC_API_KEY: ${{ secrets.ANTHROPIC_API_KEY }}
MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }}
OPENAI_API_KEY: ${{ secrets.OPENAI_API_KEY }}
TAVILY_API_KEY: ${{ secrets.TAVILY_API_KEY }}
WORKING_DIRECTORY: ${{ github.event.inputs.working-directory || 'all' }}
run: |
./docs/scripts/execute_notebooks.sh $WORKING_DIRECTORY

6
.github/workflows/scheduled_test.yml vendored
View File

@ -10,14 +10,14 @@ env:
jobs:
build:
if: github.repository_owner == 'langchain-ai'
if: github.repository_owner == 'langchain-ai' || github.event_name != 'schedule'
name: Python ${{ matrix.python-version }} - ${{ matrix.working-directory }}
runs-on: ubuntu-latest
strategy:
fail-fast: false
matrix:
python-version:
- "3.8"
- "3.9"
- "3.11"
working-directory:
- "libs/partners/openai"
@ -86,10 +86,12 @@ jobs:
AZURE_OPENAI_API_BASE: ${{ secrets.AZURE_OPENAI_API_BASE }}
AZURE_OPENAI_API_KEY: ${{ secrets.AZURE_OPENAI_API_KEY }}
AZURE_OPENAI_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_CHAT_DEPLOYMENT_NAME }}
AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LEGACY_CHAT_DEPLOYMENT_NAME }}
AZURE_OPENAI_LLM_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_LLM_DEPLOYMENT_NAME }}
AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME: ${{ secrets.AZURE_OPENAI_EMBEDDINGS_DEPLOYMENT_NAME }}
FIREWORKS_API_KEY: ${{ secrets.FIREWORKS_API_KEY }}
GROQ_API_KEY: ${{ secrets.GROQ_API_KEY }}
HUGGINGFACEHUB_API_TOKEN: ${{ secrets.HUGGINGFACEHUB_API_TOKEN }}
MISTRAL_API_KEY: ${{ secrets.MISTRAL_API_KEY }}
COHERE_API_KEY: ${{ secrets.COHERE_API_KEY }}
NVIDIA_API_KEY: ${{ secrets.NVIDIA_API_KEY }}

73
MIGRATE.md
View File

@ -1,70 +1,11 @@
# Migrating
## 🚨Breaking Changes for select chains (SQLDatabase) on 7/28/23
Please see the following guides for migratin LangChain code:
In an effort to make `langchain` leaner and safer, we are moving select chains to `langchain_experimental`.
This migration has already started, but we are remaining backwards compatible until 7/28.
On that date, we will remove functionality from `langchain`.
Read more about the motivation and the progress [here](https://github.com/langchain-ai/langchain/discussions/8043).
* Migrate to [LangChain v0.3](https://python.langchain.com/docs/versions/v0_3/)
* Migrate to [LangChain v0.2](https://python.langchain.com/docs/versions/v0_2/)
* Migrating from [LangChain 0.0.x Chains](https://python.langchain.com/docs/versions/migrating_chains/)
* Upgrate to [LangGraph Memory](https://python.langchain.com/docs/versions/migrating_memory/)
### Migrating to `langchain_experimental`
We are moving any experimental components of LangChain, or components with vulnerability issues, into `langchain_experimental`.
This guide covers how to migrate.
### Installation
Previously:
`pip install -U langchain`
Now (only if you want to access things in experimental):
`pip install -U langchain langchain_experimental`
### Things in `langchain.experimental`
Previously:
`from langchain.experimental import ...`
Now:
`from langchain_experimental import ...`
### PALChain
Previously:
`from langchain.chains import PALChain`
Now:
`from langchain_experimental.pal_chain import PALChain`
### SQLDatabaseChain
Previously:
`from langchain.chains import SQLDatabaseChain`
Now:
`from langchain_experimental.sql import SQLDatabaseChain`
Alternatively, if you are just interested in using the query generation part of the SQL chain, you can check out this [`SQL question-answering tutorial`](https://python.langchain.com/v0.2/docs/tutorials/sql_qa/#convert-question-to-sql-query)
`from langchain.chains import create_sql_query_chain`
### `load_prompt` for Python files
Note: this only applies if you want to load Python files as prompts.
If you want to load json/yaml files, no change is needed.
Previously:
`from langchain.prompts import load_prompt`
Now:
`from langchain_experimental.prompts import load_prompt`
The [LangChain CLI](https://python.langchain.com/docs/versions/v0_3/#migrate-using-langchain-cli) can help automatically upgrade your code to use non deprecated imports.
This will be especially helpful if you're still on either version 0.0.x or 0.1.x of LangChain.

1
Makefile
View File

@ -36,7 +36,6 @@ api_docs_build:
API_PKG ?= text-splitters
api_docs_quick_preview:
poetry run pip install "pydantic<2"
poetry run python docs/api_reference/create_api_rst.py $(API_PKG)
cd docs/api_reference && poetry run make html
poetry run python docs/api_reference/scripts/custom_formatter.py docs/api_reference/_build/html/

38
README.md
View File

@ -38,8 +38,8 @@ conda install langchain -c conda-forge
For these applications, LangChain simplifies the entire application lifecycle:
- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://python.langchain.com/v0.2/docs/concepts#langchain-expression-language-lcel), [components](https://python.langchain.com/v0.2/docs/concepts), and [third-party integrations](https://python.langchain.com/v0.2/docs/integrations/platforms/).
Use [LangGraph](/docs/concepts/#langgraph) to build stateful agents with first-class streaming and human-in-the-loop support.
- **Open-source libraries**: Build your applications using LangChain's open-source [building blocks](https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel), [components](https://python.langchain.com/docs/concepts/), and [third-party integrations](https://python.langchain.com/docs/integrations/providers/).
Use [LangGraph](https://langchain-ai.github.io/langgraph/) to build stateful agents with first-class streaming and human-in-the-loop support.
- **Productionization**: Inspect, monitor, and evaluate your apps with [LangSmith](https://docs.smith.langchain.com/) so that you can constantly optimize and deploy with confidence.
- **Deployment**: Turn your LangGraph applications into production-ready APIs and Assistants with [LangGraph Cloud](https://langchain-ai.github.io/langgraph/cloud/).
@ -49,7 +49,7 @@ For these applications, LangChain simplifies the entire application lifecycle:
- **`langchain-community`**: Third party integrations.
- Some integrations have been further split into **partner packages** that only rely on **`langchain-core`**. Examples include **`langchain_openai`** and **`langchain_anthropic`**.
- **`langchain`**: Chains, agents, and retrieval strategies that make up an application's cognitive architecture.
- **[`LangGraph`](https://langchain-ai.github.io/langgraph/)**: A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it.
- **[`LangGraph`](https://langchain-ai.github.io/langgraph/)**: A library for building robust and stateful multi-actor applications with LLMs by modeling steps as edges and nodes in a graph. Integrates smoothly with LangChain, but can be used without it. To learn more about LangGraph, check out our first LangChain Academy course, *Introduction to LangGraph*, available [here](https://academy.langchain.com/courses/intro-to-langgraph).
### Productionization:
@ -65,20 +65,20 @@ For these applications, LangChain simplifies the entire application lifecycle:
**❓ Question answering with RAG**
- [Documentation](https://python.langchain.com/v0.2/docs/tutorials/rag/)
- [Documentation](https://python.langchain.com/docs/tutorials/rag/)
- End-to-end Example: [Chat LangChain](https://chat.langchain.com) and [repo](https://github.com/langchain-ai/chat-langchain)
**🧱 Extracting structured output**
- [Documentation](https://python.langchain.com/v0.2/docs/tutorials/extraction/)
- [Documentation](https://python.langchain.com/docs/tutorials/extraction/)
- End-to-end Example: [SQL Llama2 Template](https://github.com/langchain-ai/langchain-extract/)
**🤖 Chatbots**
- [Documentation](https://python.langchain.com/v0.2/docs/tutorials/chatbot/)
- [Documentation](https://python.langchain.com/docs/tutorials/chatbot/)
- End-to-end Example: [Web LangChain (web researcher chatbot)](https://weblangchain.vercel.app) and [repo](https://github.com/langchain-ai/weblangchain)
And much more! Head to the [Tutorials](https://python.langchain.com/v0.2/docs/tutorials/) section of the docs for more.
And much more! Head to the [Tutorials](https://python.langchain.com/docs/tutorials/) section of the docs for more.
## 🚀 How does LangChain help?
@ -93,10 +93,10 @@ Off-the-shelf chains make it easy to get started. Components make it easy to cus
LCEL is a key part of LangChain, allowing you to build and organize chains of processes in a straightforward, declarative manner. It was designed to support taking prototypes directly into production without needing to alter any code. This means you can use LCEL to set up everything from basic "prompt + LLM" setups to intricate, multi-step workflows.
- **[Overview](https://python.langchain.com/v0.2/docs/concepts/#langchain-expression-language-lcel)**: LCEL and its benefits
- **[Interface](https://python.langchain.com/v0.2/docs/concepts/#runnable-interface)**: The standard Runnable interface for LCEL objects
- **[Primitives](https://python.langchain.com/v0.2/docs/how_to/#langchain-expression-language-lcel)**: More on the primitives LCEL includes
- **[Cheatsheet](https://python.langchain.com/v0.2/docs/how_to/lcel_cheatsheet/)**: Quick overview of the most common usage patterns
- **[Overview](https://python.langchain.com/docs/concepts/#langchain-expression-language-lcel)**: LCEL and its benefits
- **[Interface](https://python.langchain.com/docs/concepts/#runnable-interface)**: The standard Runnable interface for LCEL objects
- **[Primitives](https://python.langchain.com/docs/how_to/#langchain-expression-language-lcel)**: More on the primitives LCEL includes
- **[Cheatsheet](https://python.langchain.com/docs/how_to/lcel_cheatsheet/)**: Quick overview of the most common usage patterns
## Components
@ -104,24 +104,24 @@ Components fall into the following **modules**:
**📃 Model I/O**
This includes [prompt management](https://python.langchain.com/v0.2/docs/concepts/#prompt-templates), [prompt optimization](https://python.langchain.com/v0.2/docs/concepts/#example-selectors), a generic interface for [chat models](https://python.langchain.com/v0.2/docs/concepts/#chat-models) and [LLMs](https://python.langchain.com/v0.2/docs/concepts/#llms), and common utilities for working with [model outputs](https://python.langchain.com/v0.2/docs/concepts/#output-parsers).
This includes [prompt management](https://python.langchain.com/docs/concepts/#prompt-templates), [prompt optimization](https://python.langchain.com/docs/concepts/#example-selectors), a generic interface for [chat models](https://python.langchain.com/docs/concepts/#chat-models) and [LLMs](https://python.langchain.com/docs/concepts/#llms), and common utilities for working with [model outputs](https://python.langchain.com/docs/concepts/#output-parsers).
**📚 Retrieval**
Retrieval Augmented Generation involves [loading data](https://python.langchain.com/v0.2/docs/concepts/#document-loaders) from a variety of sources, [preparing it](https://python.langchain.com/v0.2/docs/concepts/#text-splitters), then [searching over (a.k.a. retrieving from)](https://python.langchain.com/v0.2/docs/concepts/#retrievers) it for use in the generation step.
Retrieval Augmented Generation involves [loading data](https://python.langchain.com/docs/concepts/#document-loaders) from a variety of sources, [preparing it](https://python.langchain.com/docs/concepts/#text-splitters), then [searching over (a.k.a. retrieving from)](https://python.langchain.com/docs/concepts/#retrievers) it for use in the generation step.
**🤖 Agents**
Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a [standard interface for agents](https://python.langchain.com/v0.2/docs/concepts/#agents), along with [LangGraph](https://github.com/langchain-ai/langgraph) for building custom agents.
Agents allow an LLM autonomy over how a task is accomplished. Agents make decisions about which Actions to take, then take that Action, observe the result, and repeat until the task is complete. LangChain provides a [standard interface for agents](https://python.langchain.com/docs/concepts/#agents), along with [LangGraph](https://github.com/langchain-ai/langgraph) for building custom agents.
## 📖 Documentation
Please see [here](https://python.langchain.com) for full documentation, which includes:
- [Introduction](https://python.langchain.com/v0.2/docs/introduction/): Overview of the framework and the structure of the docs.
- [Tutorials](https://python.langchain.com/docs/use_cases/): If you're looking to build something specific or are more of a hands-on learner, check out our tutorials. This is the best place to get started.
- [How-to guides](https://python.langchain.com/v0.2/docs/how_to/): Answers to “How do I….?” type questions. These guides are goal-oriented and concrete; they're meant to help you complete a specific task.
- [Conceptual guide](https://python.langchain.com/v0.2/docs/concepts/): Conceptual explanations of the key parts of the framework.
- [Introduction](https://python.langchain.com/docs/introduction/): Overview of the framework and the structure of the docs.
- [Tutorials](https://python.langchain.com/docs/tutorials/): If you're looking to build something specific or are more of a hands-on learner, check out our tutorials. This is the best place to get started.
- [How-to guides](https://python.langchain.com/docs/how_to/): Answers to “How do I….?” type questions. These guides are goal-oriented and concrete; they're meant to help you complete a specific task.
- [Conceptual guide](https://python.langchain.com/docs/concepts/): Conceptual explanations of the key parts of the framework.
- [API Reference](https://api.python.langchain.com): Thorough documentation of every class and method.
## 🌐 Ecosystem
@ -134,7 +134,7 @@ Please see [here](https://python.langchain.com) for full documentation, which in
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether it be in the form of a new feature, improved infrastructure, or better documentation.
For detailed information on how to contribute, see [here](https://python.langchain.com/v0.2/docs/contributing/).
For detailed information on how to contribute, see [here](https://python.langchain.com/docs/contributing/).
## 🌟 Contributors

3
cookbook/code-analysis-deeplake.ipynb
View File

@ -90,7 +90,8 @@
"import os\n",
"from getpass import getpass\n",
"\n",
"os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"if \"OPENAI_API_KEY\" not in os.environ:\n",
" os.environ[\"OPENAI_API_KEY\"] = getpass()\n",
"# Please manually enter OpenAI Key"
]
},

20
docs/Makefile
View File

@ -18,7 +18,7 @@ for dir; do \
if find "$$dir" -maxdepth 1 -type f \( -name "pyproject.toml" -o -name "setup.py" \) | grep -q .; then \
echo "$$dir"; \
fi \
done' sh {} + | grep -vE "airbyte|ibm|couchbase|databricks" | tr '\n' ' ')
done' sh {} + | grep -vE "airbyte|ibm|databricks" | tr '\n' ' ')
PORT ?= 3001
@ -33,8 +33,8 @@ install-py-deps:
python3 -m venv .venv
$(PYTHON) -m pip install --upgrade pip
$(PYTHON) -m pip install --upgrade uv
$(PYTHON) -m uv pip install -r vercel_requirements.txt
$(PYTHON) -m uv pip install --editable $(PARTNER_DEPS_LIST)
$(PYTHON) -m uv pip install --pre -r vercel_requirements.txt
$(PYTHON) -m uv pip install --pre --editable $(PARTNER_DEPS_LIST)
generate-files:
mkdir -p $(INTERMEDIATE_DIR)
@ -46,7 +46,7 @@ generate-files:
$(PYTHON) scripts/partner_pkg_table.py $(INTERMEDIATE_DIR)
wget -q https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O $(INTERMEDIATE_DIR)/langserve.md
curl https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md | sed 's/<=/\&lt;=/g' > $(INTERMEDIATE_DIR)/langserve.md
$(PYTHON) scripts/resolve_local_links.py $(INTERMEDIATE_DIR)/langserve.md https://github.com/langchain-ai/langserve/tree/main/
copy-infra:
@ -65,7 +65,7 @@ render:
$(PYTHON) scripts/notebook_convert.py $(INTERMEDIATE_DIR) $(OUTPUT_NEW_DOCS_DIR)
md-sync:
rsync -avm --include="*/" --include="*.mdx" --include="*.md" --include="*.png" --include="*/_category_.yml" --exclude="*" $(INTERMEDIATE_DIR)/ $(OUTPUT_NEW_DOCS_DIR)
rsync -avmq --include="*/" --include="*.mdx" --include="*.md" --include="*.png" --include="*/_category_.yml" --exclude="*" $(INTERMEDIATE_DIR)/ $(OUTPUT_NEW_DOCS_DIR)
append-related:
$(PYTHON) scripts/append_related_links.py $(OUTPUT_NEW_DOCS_DIR)
@ -82,14 +82,10 @@ vercel-build: install-vercel-deps build generate-references
mv $(OUTPUT_NEW_DOCS_DIR) docs
rm -rf build
mkdir static/api_reference
git clone --depth=1 https://github.com/baskaryan/langchain-api-docs-build.git
mv langchain-api-docs-build/api_reference_build/html/* static/api_reference/
rm -rf langchain-api-docs-build
git clone --depth=1 https://github.com/langchain-ai/langchain-api-docs-html.git
mv langchain-api-docs-html/api_reference_build/html/* static/api_reference/
rm -rf langchain-api-docs-html
NODE_OPTIONS="--max-old-space-size=5000" yarn run docusaurus build
mv build v0.2
mkdir build
mv v0.2 build
mv build/v0.2/404.html build
start:
cd $(OUTPUT_NEW_DIR) && yarn && yarn start --port=$(PORT)

5
docs/api_reference/conf.py
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@ -26,7 +26,6 @@ from sphinx.util.docutils import SphinxDirective
_DIR = Path(__file__).parent.absolute()
sys.path.insert(0, os.path.abspath("."))
sys.path.insert(0, os.path.abspath("../../libs/langchain"))
sys.path.insert(0, os.path.abspath("../../libs/experimental"))
with (_DIR.parents[1] / "libs" / "langchain" / "pyproject.toml").open("r") as f:
data = toml.load(f)
@ -223,9 +222,7 @@ html_theme_options = {
},
],
"icon_links_label": "Quick Links",
"external_links": [
{"name": "Legacy reference", "url": "https://api.python.langchain.com/"},
],
"external_links": [],
}

1
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@ -533,6 +533,7 @@ def _build_index(dirs: List[str]) -> None:
"airbyte": "Airbyte",
"aws": "AWS",
"ai21": "AI21",
"ibm": "IBM",
}
ordered = ["core", "langchain", "text-splitters", "community", "experimental"]
main_ = [dir_ for dir_ in ordered if dir_ in dirs]

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6
docs/api_reference/requirements.txt
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@ -1,5 +1,5 @@
autodoc_pydantic>=1,<2
sphinx<=7
autodoc_pydantic>=2,<3
sphinx>=8,<9
myst-parser>=3
sphinx-autobuild>=2024
pydata-sphinx-theme>=0.15
@ -8,4 +8,4 @@ myst-nb>=1.1.1
pyyaml
sphinx-design
sphinx-copybutton
beautifulsoup4
beautifulsoup4

5
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@ -17,7 +17,10 @@ def process_toc_h3_elements(html_content: str) -> str:
# Process each element
for element in toc_h3_elements:
element = element.a.code.span
try:
element = element.a.code.span
except Exception:
continue
# Get the text content of the element
content = element.get_text()

2
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@ -15,7 +15,7 @@
:member-order: groupwise
:show-inheritance: True
:special-members: __call__
:exclude-members: construct, copy, dict, from_orm, parse_file, parse_obj, parse_raw, schema, schema_json, update_forward_refs, validate, json, is_lc_serializable, to_json, to_json_not_implemented, lc_secrets, lc_attributes, lc_id, get_lc_namespace
:exclude-members: construct, copy, dict, from_orm, parse_file, parse_obj, parse_raw, schema, schema_json, update_forward_refs, validate, json, is_lc_serializable, to_json, to_json_not_implemented, lc_secrets, lc_attributes, lc_id, get_lc_namespace, model_construct, model_copy, model_dump, model_dump_json, model_parametrized_name, model_post_init, model_rebuild, model_validate, model_validate_json, model_validate_strings, model_extra, model_fields_set, model_json_schema
{% block attributes %}

2
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@ -15,7 +15,7 @@
:member-order: groupwise
:show-inheritance: True
:special-members: __call__
:exclude-members: construct, copy, dict, from_orm, parse_file, parse_obj, parse_raw, schema, schema_json, update_forward_refs, validate, json, is_lc_serializable, to_json_not_implemented, lc_secrets, lc_attributes, lc_id, get_lc_namespace, astream_log, transform, atransform, get_output_schema, get_prompts, config_schema, map, pick, pipe, with_listeners, with_alisteners, with_config, with_fallbacks, with_types, with_retry, InputType, OutputType, config_specs, output_schema, get_input_schema, get_graph, get_name, input_schema, name, bind, assign, as_tool
:exclude-members: construct, copy, dict, from_orm, parse_file, parse_obj, parse_raw, schema, schema_json, update_forward_refs, validate, json, is_lc_serializable, to_json_not_implemented, lc_secrets, lc_attributes, lc_id, get_lc_namespace, astream_log, transform, atransform, get_output_schema, get_prompts, config_schema, map, pick, pipe, InputType, OutputType, config_specs, output_schema, get_input_schema, get_graph, get_name, input_schema, name, assign, as_tool, get_config_jsonschema, get_input_jsonschema, get_output_jsonschema, model_construct, model_copy, model_dump, model_dump_json, model_parametrized_name, model_post_init, model_rebuild, model_validate, model_validate_json, model_validate_strings, to_json, model_extra, model_fields_set, model_json_schema, predict, apredict, predict_messages, apredict_messages, generate, generate_prompt, agenerate, agenerate_prompt, call_as_llm
.. NOTE:: {{objname}} implements the standard :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>`. 🏃

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@ -0,0 +1 @@
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