mirror of
https://github.com/hwchase17/langchain.git
synced 2026-02-07 01:30:24 +00:00
Compare commits
3 Commits
langchain=
...
isaac/tool
| Author | SHA1 | Date | |
|---|---|---|---|
|
93580fb5ec | ||
|
|
f9cd109280 | ||
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|
765350b630 |
26
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
26
.github/ISSUE_TEMPLATE/bug-report.yml
vendored
@@ -96,21 +96,25 @@ body:
|
||||
attributes:
|
||||
label: System Info
|
||||
description: |
|
||||
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.
|
||||
Please share your system info with us.
|
||||
|
||||
Run the following command in your terminal and paste the output here:
|
||||
"pip freeze | grep langchain"
|
||||
platform (windows / linux / mac)
|
||||
python version
|
||||
|
||||
OR if you're on a recent version of langchain-core you can paste the output of:
|
||||
|
||||
python -m langchain_core.sys_info
|
||||
|
||||
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
2
.github/PULL_REQUEST_TEMPLATE.md
vendored
@@ -1,7 +1,7 @@
|
||||
Thank you for contributing to LangChain!
|
||||
|
||||
- [ ] **PR title**: "package: description"
|
||||
- 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.
|
||||
- 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.
|
||||
- Example: "community: add foobar LLM"
|
||||
|
||||
|
||||
|
||||
20
.github/scripts/check_diff.py
vendored
20
.github/scripts/check_diff.py
vendored
@@ -15,6 +15,7 @@ LANGCHAIN_DIRS = [
|
||||
"libs/text-splitters",
|
||||
"libs/langchain",
|
||||
"libs/community",
|
||||
"libs/experimental",
|
||||
]
|
||||
|
||||
# when set to True, we are ignoring core dependents
|
||||
@@ -152,19 +153,14 @@ def _get_pydantic_test_configs(
|
||||
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"
|
||||
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
|
||||
|
||||
12
.github/scripts/get_min_versions.py
vendored
12
.github/scripts/get_min_versions.py
vendored
@@ -21,14 +21,7 @@ MIN_VERSION_LIBS = [
|
||||
"SQLAlchemy",
|
||||
]
|
||||
|
||||
# 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",
|
||||
]
|
||||
SKIP_IF_PULL_REQUEST = ["langchain-core"]
|
||||
|
||||
|
||||
def get_min_version(version: str) -> str:
|
||||
@@ -77,7 +70,7 @@ def get_min_version_from_toml(
|
||||
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 in multiple libs
|
||||
# changes
|
||||
continue
|
||||
# Check if the lib is present in the dependencies
|
||||
if lib in dependencies:
|
||||
@@ -95,6 +88,7 @@ def get_min_version_from_toml(
|
||||
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)
|
||||
|
||||
|
||||
1
.github/workflows/_integration_test.yml
vendored
1
.github/workflows/_integration_test.yml
vendored
@@ -58,7 +58,6 @@ 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 }}
|
||||
|
||||
4
.github/workflows/_release.yml
vendored
4
.github/workflows/_release.yml
vendored
@@ -85,7 +85,7 @@ jobs:
|
||||
path: langchain
|
||||
sparse-checkout: | # this only grabs files for relevant dir
|
||||
${{ inputs.working-directory }}
|
||||
ref: ${{ github.ref }} # this scopes to just ref'd branch
|
||||
ref: master # this scopes to just master branch
|
||||
fetch-depth: 0 # this fetches entire commit history
|
||||
- name: Check Tags
|
||||
id: check-tags
|
||||
@@ -269,7 +269,6 @@ 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 }}
|
||||
@@ -294,6 +293,7 @@ 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 }}
|
||||
|
||||
|
||||
2
.github/workflows/_test.yml
vendored
2
.github/workflows/_test.yml
vendored
@@ -58,7 +58,7 @@ jobs:
|
||||
env:
|
||||
MIN_VERSIONS: ${{ steps.min-version.outputs.min-versions }}
|
||||
run: |
|
||||
poetry run pip install $MIN_VERSIONS
|
||||
poetry run pip install --force-reinstall $MIN_VERSIONS --editable .
|
||||
make tests
|
||||
working-directory: ${{ inputs.working-directory }}
|
||||
|
||||
|
||||
2
.github/workflows/_test_doc_imports.yml
vendored
2
.github/workflows/_test_doc_imports.yml
vendored
@@ -31,7 +31,7 @@ jobs:
|
||||
|
||||
- name: Install langchain editable
|
||||
run: |
|
||||
poetry run pip install langchain-experimental -e libs/core libs/langchain libs/community
|
||||
poetry run pip install -e libs/core libs/langchain libs/community libs/experimental
|
||||
|
||||
- name: Check doc imports
|
||||
shell: bash
|
||||
|
||||
153
.github/workflows/api_doc_build.yml
vendored
153
.github/workflows/api_doc_build.yml
vendored
@@ -1,153 +0,0 @@
|
||||
name: API docs build
|
||||
|
||||
on:
|
||||
workflow_dispatch:
|
||||
schedule:
|
||||
- cron: '0 13 * * *'
|
||||
env:
|
||||
POETRY_VERSION: "1.8.1"
|
||||
PYTHON_VERSION: "3.11"
|
||||
|
||||
jobs:
|
||||
build:
|
||||
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
|
||||
|
||||
|
||||
- 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
|
||||
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
|
||||
|
||||
- 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 and ibm due to pandas dependency issue
|
||||
python -m uv pip install $(ls ./libs/partners | grep -vE "airbyte|ibm" | 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'
|
||||
63
.github/workflows/run_notebooks.yml
vendored
63
.github/workflows/run_notebooks.yml
vendored
@@ -1,63 +0,0 @@
|
||||
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
|
||||
|
||||
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: |
|
||||
pip install -e libs/core
|
||||
pip install -e libs/langchain
|
||||
pip install -e libs/community
|
||||
pip install --upgrade langchain-experimental
|
||||
pip install -e libs//partners/anthropic
|
||||
pip install -e libs//partners/chroma
|
||||
pip install -e libs//partners/openai
|
||||
pip install -e libs//partners/mistralai
|
||||
pip install jupyter langgraph click pypdf vcrpy
|
||||
|
||||
- name: Pre-download tiktoken files
|
||||
run: |
|
||||
python docs/scripts/download_tiktoken.py
|
||||
|
||||
- name: Prepare notebooks
|
||||
run: |
|
||||
python docs/scripts/prepare_notebooks_for_ci.py --comment-install-cells
|
||||
|
||||
- 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 }}
|
||||
run: |
|
||||
./docs/scripts/execute_notebooks.sh ${{ github.event.inputs.working-directory || 'all' }}
|
||||
1
.github/workflows/scheduled_test.yml
vendored
1
.github/workflows/scheduled_test.yml
vendored
@@ -86,7 +86,6 @@ 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 }}
|
||||
|
||||
32
README.md
32
README.md
@@ -38,7 +38,7 @@ 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/docs/concepts/#langchain-expression-language-lcel), [components](https://python.langchain.com/docs/concepts/), and [third-party integrations](https://python.langchain.com/docs/integrations/platforms/).
|
||||
- **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](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/).
|
||||
@@ -65,20 +65,20 @@ For these applications, LangChain simplifies the entire application lifecycle:
|
||||
|
||||
**❓ Question answering with RAG**
|
||||
|
||||
- [Documentation](https://python.langchain.com/docs/tutorials/rag/)
|
||||
- [Documentation](https://python.langchain.com/v0.2/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/docs/tutorials/extraction/)
|
||||
- [Documentation](https://python.langchain.com/v0.2/docs/tutorials/extraction/)
|
||||
- End-to-end Example: [SQL Llama2 Template](https://github.com/langchain-ai/langchain-extract/)
|
||||
|
||||
**🤖 Chatbots**
|
||||
|
||||
- [Documentation](https://python.langchain.com/docs/tutorials/chatbot/)
|
||||
- [Documentation](https://python.langchain.com/v0.2/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/docs/tutorials/) section of the docs for more.
|
||||
And much more! Head to the [Tutorials](https://python.langchain.com/v0.2/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/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
|
||||
- **[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
|
||||
|
||||
## Components
|
||||
|
||||
@@ -104,24 +104,24 @@ Components fall into the following **modules**:
|
||||
|
||||
**📃 Model I/O**
|
||||
|
||||
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).
|
||||
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).
|
||||
|
||||
**📚 Retrieval**
|
||||
|
||||
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.
|
||||
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.
|
||||
|
||||
**🤖 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.
|
||||
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.
|
||||
|
||||
## 📖 Documentation
|
||||
|
||||
Please see [here](https://python.langchain.com) for full documentation, which includes:
|
||||
|
||||
- [Introduction](https://python.langchain.com/docs/introduction/): Overview of the framework and the structure of the docs.
|
||||
- [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/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.
|
||||
- [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.
|
||||
- [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/docs/contributing/).
|
||||
For detailed information on how to contribute, see [here](https://python.langchain.com/v0.2/docs/contributing/).
|
||||
|
||||
## 🌟 Contributors
|
||||
|
||||
|
||||
@@ -46,7 +46,7 @@ generate-files:
|
||||
|
||||
$(PYTHON) scripts/partner_pkg_table.py $(INTERMEDIATE_DIR)
|
||||
|
||||
curl https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md | sed 's/<=/\<=/g' > $(INTERMEDIATE_DIR)/langserve.md
|
||||
wget -q https://raw.githubusercontent.com/langchain-ai/langserve/main/README.md -O $(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 -avmq --include="*/" --include="*.mdx" --include="*.md" --include="*.png" --include="*/_category_.yml" --exclude="*" $(INTERMEDIATE_DIR)/ $(OUTPUT_NEW_DOCS_DIR)
|
||||
rsync -avm --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)
|
||||
@@ -82,9 +82,9 @@ 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/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
|
||||
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
|
||||
NODE_OPTIONS="--max-old-space-size=5000" yarn run docusaurus build
|
||||
|
||||
start:
|
||||
|
||||
@@ -26,6 +26,7 @@ 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)
|
||||
|
||||
@@ -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, 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
|
||||
: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, 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
|
||||
|
||||
.. NOTE:: {{objname}} implements the standard :py:class:`Runnable Interface <langchain_core.runnables.base.Runnable>`. 🏃
|
||||
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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|
||||
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
|
||||
@@ -1 +0,0 @@
|
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
|
||||
@@ -451,7 +451,8 @@ steps of the thought-process and explore other directions from there. To verify
|
||||
the effectiveness of the proposed technique, we implemented a ToT-based solver
|
||||
for the Sudoku Puzzle. Experimental results show that the ToT framework can
|
||||
significantly increase the success rate of Sudoku puzzle solving. Our
|
||||
implementation of the ToT-based Sudoku solver is available on [GitHub](https://github.com/jieyilong/tree-of-thought-puzzle-solver).
|
||||
implementation of the ToT-based Sudoku solver is available on GitHub:
|
||||
\url{https://github.com/jieyilong/tree-of-thought-puzzle-solver}.
|
||||
|
||||
## Plan-and-Solve Prompting: Improving Zero-Shot Chain-of-Thought Reasoning by Large Language Models
|
||||
|
||||
|
||||
@@ -116,14 +116,14 @@ These also have corresponding async methods that should be used with [asyncio](h
|
||||
|
||||
The **input type** and **output type** varies by component:
|
||||
|
||||
| Component | Input Type | Output Type |
|
||||
|--------------|-------------------------------------------------------|-----------------------|
|
||||
| Prompt | Dictionary | PromptValue |
|
||||
| ChatModel | Single string, list of chat messages or a PromptValue | ChatMessage |
|
||||
| LLM | Single string, list of chat messages or a PromptValue | String |
|
||||
| OutputParser | The output of an LLM or ChatModel | Depends on the parser |
|
||||
| Retriever | Single string | List of Documents |
|
||||
| Tool | Single string or dictionary, depending on the tool | Depends on the tool |
|
||||
| Component | Input Type | Output Type |
|
||||
| --- | --- | --- |
|
||||
| Prompt | Dictionary | PromptValue |
|
||||
| ChatModel | Single string, list of chat messages or a PromptValue | ChatMessage |
|
||||
| LLM | Single string, list of chat messages or a PromptValue | String |
|
||||
| OutputParser | The output of an LLM or ChatModel | Depends on the parser |
|
||||
| Retriever | Single string | List of Documents |
|
||||
| Tool | Single string or dictionary, depending on the tool | Depends on the tool |
|
||||
|
||||
|
||||
All runnables expose input and output **schemas** to inspect the inputs and outputs:
|
||||
@@ -236,7 +236,7 @@ This is where information like log-probs and token usage may be stored.
|
||||
|
||||
**`tool_calls`**
|
||||
|
||||
These represent a decision from a language model to call a tool. They are included as part of an `AIMessage` output.
|
||||
These represent a decision from an language model to call a tool. They are included as part of an `AIMessage` output.
|
||||
They can be accessed from there with the `.tool_calls` property.
|
||||
|
||||
This property returns a list of `ToolCall`s. A `ToolCall` is a dictionary with the following arguments:
|
||||
@@ -256,8 +256,6 @@ This represents a message with role "tool", which contains the result of calling
|
||||
- a `tool_call_id` field which conveys the id of the call to the tool that was called to produce this result.
|
||||
- an `artifact` field which can be used to pass along arbitrary artifacts of the tool execution which are useful to track but which should not be sent to the model.
|
||||
|
||||
With most chat models, a `ToolMessage` can only appear in the chat history after an `AIMessage` that has a populated `tool_calls` field.
|
||||
|
||||
#### (Legacy) FunctionMessage
|
||||
|
||||
This is a legacy message type, corresponding to OpenAI's legacy function-calling API. `ToolMessage` should be used instead to correspond to the updated tool-calling API.
|
||||
@@ -734,10 +732,10 @@ of the object.
|
||||
If you're creating a custom chain or runnable, you need to remember to propagate request time
|
||||
callbacks to any child objects.
|
||||
|
||||
:::important Async in Python<=3.10
|
||||
:::important Async in Python<=3.10
|
||||
|
||||
Any `RunnableLambda`, a `RunnableGenerator`, or `Tool` that invokes other runnables
|
||||
and is running `async` in python<=3.10, will have to propagate callbacks to child
|
||||
and is running `async` in python<=3.10, will have to propagate callbacks to child
|
||||
objects manually. This is because LangChain cannot automatically propagate
|
||||
callbacks to child objects in this case.
|
||||
|
||||
|
||||
@@ -73,9 +73,9 @@ make docker_tests
|
||||
|
||||
There are also [integration tests and code-coverage](/docs/contributing/testing/) available.
|
||||
|
||||
### Only develop langchain_core or langchain_community
|
||||
### Only develop langchain_core or langchain_experimental
|
||||
|
||||
If you are only developing `langchain_core` or `langchain_community`, you can simply install the dependencies for the respective projects and run tests:
|
||||
If you are only developing `langchain_core` or `langchain_experimental`, you can simply install the dependencies for the respective projects and run tests:
|
||||
|
||||
```bash
|
||||
cd libs/core
|
||||
@@ -86,7 +86,7 @@ make test
|
||||
Or:
|
||||
|
||||
```bash
|
||||
cd libs/community
|
||||
cd libs/experimental
|
||||
poetry install --with test
|
||||
make test
|
||||
```
|
||||
|
||||
@@ -3,8 +3,8 @@ sidebar_position: 0
|
||||
---
|
||||
# Welcome Contributors
|
||||
|
||||
Hi there! Thank you for your interest in contributing to LangChain.
|
||||
As an open-source project in a fast developing field, we are extremely open to contributions, whether they involve new features, improved infrastructure, better documentation, or bug fixes.
|
||||
Hi there! Thank you for even being interested in contributing to LangChain.
|
||||
As an open-source project in a rapidly developing field, we are extremely open to contributions, whether they involve new features, improved infrastructure, better documentation, or bug fixes.
|
||||
|
||||
## 🗺️ Guidelines
|
||||
|
||||
|
||||
@@ -206,7 +206,7 @@
|
||||
" ) -> List[Document]:\n",
|
||||
" \"\"\"Get docs, adding score information.\"\"\"\n",
|
||||
" docs, scores = zip(\n",
|
||||
" *self.vectorstore.similarity_search_with_score(query, **search_kwargs)\n",
|
||||
" *vectorstore.similarity_search_with_score(query, **search_kwargs)\n",
|
||||
" )\n",
|
||||
" for doc, score in zip(docs, scores):\n",
|
||||
" doc.metadata[\"score\"] = score\n",
|
||||
|
||||
@@ -17,7 +17,7 @@
|
||||
"source": [
|
||||
"# Build an Agent with AgentExecutor (Legacy)\n",
|
||||
"\n",
|
||||
":::important\n",
|
||||
":::{.callout-important}\n",
|
||||
"This section will cover building with the legacy LangChain AgentExecutor. These are fine for getting started, but past a certain point, you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd recommend checking out [LangGraph Agents](/docs/concepts/#langgraph) or the [migration guide](/docs/how_to/migrate_agent/)\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
@@ -49,6 +49,7 @@
|
||||
"\n",
|
||||
"To install LangChain run:\n",
|
||||
"\n",
|
||||
"```{=mdx}\n",
|
||||
"import Tabs from '@theme/Tabs';\n",
|
||||
"import TabItem from '@theme/TabItem';\n",
|
||||
"import CodeBlock from \"@theme/CodeBlock\";\n",
|
||||
@@ -62,6 +63,7 @@
|
||||
" </TabItem>\n",
|
||||
"</Tabs>\n",
|
||||
"\n",
|
||||
"```\n",
|
||||
"\n",
|
||||
"\n",
|
||||
"For more details, see our [Installation guide](/docs/how_to/installation).\n",
|
||||
@@ -268,9 +270,11 @@
|
||||
"\n",
|
||||
"Next, let's learn how to use a language model by to call tools. LangChain supports many different language models that you can use interchangably - select the one you want to use below!\n",
|
||||
"\n",
|
||||
"```{=mdx}\n",
|
||||
"import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
|
||||
"\n",
|
||||
"<ChatModelTabs openaiParams={`model=\"gpt-4\"`} />\n"
|
||||
"<ChatModelTabs openaiParams={`model=\"gpt-4\"`} />\n",
|
||||
"```"
|
||||
]
|
||||
},
|
||||
{
|
||||
@@ -801,7 +805,7 @@
|
||||
"\n",
|
||||
"That's a wrap! In this quick start we covered how to create a simple agent. Agents are a complex topic, and there's lot to learn! \n",
|
||||
"\n",
|
||||
":::important\n",
|
||||
":::{.callout-important}\n",
|
||||
"This section covered building with LangChain Agents. LangChain Agents are fine for getting started, but past a certain point you will likely want flexibility and control that they do not offer. For working with more advanced agents, we'd reccommend checking out [LangGraph](/docs/concepts/#langgraph)\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
|
||||
@@ -17,11 +17,11 @@
|
||||
"If you are planning to use the async APIs, it is recommended to use and extend [`AsyncCallbackHandler`](https://python.langchain.com/api_reference/core/callbacks/langchain_core.callbacks.base.AsyncCallbackHandler.html) to avoid blocking the event.\n",
|
||||
"\n",
|
||||
"\n",
|
||||
":::warning\n",
|
||||
":::{.callout-warning}\n",
|
||||
"If you use a sync `CallbackHandler` while using an async method to run your LLM / Chain / Tool / Agent, it will still work. However, under the hood, it will be called with [`run_in_executor`](https://docs.python.org/3/library/asyncio-eventloop.html#asyncio.loop.run_in_executor) which can cause issues if your `CallbackHandler` is not thread-safe.\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
":::danger\n",
|
||||
":::{.callout-danger}\n",
|
||||
"\n",
|
||||
"If you're on `python<=3.10`, you need to remember to propagate `config` or `callbacks` when invoking other `runnable` from within a `RunnableLambda`, `RunnableGenerator` or `@tool`. If you do not do this,\n",
|
||||
"the callbacks will not be propagated to the child runnables being invoked.\n",
|
||||
|
||||
@@ -19,7 +19,7 @@
|
||||
"\n",
|
||||
"If you are composing a chain of runnables and want to reuse callbacks across multiple executions, you can attach callbacks with the [`.with_config()`](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.base.Runnable.html#langchain_core.runnables.base.Runnable.with_config) method. This saves you the need to pass callbacks in each time you invoke the chain.\n",
|
||||
"\n",
|
||||
":::important\n",
|
||||
":::{.callout-important}\n",
|
||||
"\n",
|
||||
"`with_config()` binds a configuration which will be interpreted as **runtime** configuration. So these callbacks will propagate to all child components.\n",
|
||||
":::\n",
|
||||
|
||||
@@ -17,7 +17,7 @@
|
||||
"\n",
|
||||
"Most LangChain modules allow you to pass `callbacks` directly into the constructor (i.e., initializer). In this case, the callbacks will only be called for that instance (and any nested runs).\n",
|
||||
"\n",
|
||||
":::warning\n",
|
||||
":::{.callout-warning}\n",
|
||||
"Constructor callbacks are scoped only to the object they are defined on. They are **not** inherited by children of the object. This can lead to confusing behavior,\n",
|
||||
"and it's generally better to pass callbacks as a run time argument.\n",
|
||||
":::\n",
|
||||
|
||||
@@ -29,7 +29,7 @@
|
||||
"| data | Any | The data associated with the event. This can be anything, though we suggest making it JSON serializable. |\n",
|
||||
"\n",
|
||||
"\n",
|
||||
":::important\n",
|
||||
":::{.callout-important}\n",
|
||||
"* Dispatching custom callback events requires `langchain-core>=0.2.15`.\n",
|
||||
"* Custom callback events can only be dispatched from within an existing `Runnable`.\n",
|
||||
"* If using `astream_events`, you must use `version='v2'` to see custom events.\n",
|
||||
@@ -38,9 +38,9 @@
|
||||
"\n",
|
||||
"\n",
|
||||
":::caution COMPATIBILITY\n",
|
||||
"LangChain cannot automatically propagate configuration, including callbacks necessary for astream_events(), to child runnables if you are running async code in python<=3.10. This is a common reason why you may fail to see events being emitted from custom runnables or tools.\n",
|
||||
"LangChain cannot automatically propagate configuration, including callbacks necessary for astream_events(), to child runnables if you are running async code in python<=3.10. This is a common reason why you may fail to see events being emitted from custom runnables or tools.\n",
|
||||
"\n",
|
||||
"If you are running python<=3.10, you will need to manually propagate the `RunnableConfig` object to the child runnable in async environments. For an example of how to manually propagate the config, see the implementation of the `bar` RunnableLambda below.\n",
|
||||
"If you are running python<=3.10, you will need to manually propagate the `RunnableConfig` object to the child runnable in async environments. For an example of how to manually propagate the config, see the implementation of the `bar` RunnableLambda below.\n",
|
||||
"\n",
|
||||
"If you are running python>=3.11, the `RunnableConfig` will automatically propagate to child runnables in async environment. However, it is still a good idea to propagate the `RunnableConfig` manually if your code may run in other Python versions.\n",
|
||||
":::"
|
||||
@@ -69,7 +69,7 @@
|
||||
"We can use the `async` `adispatch_custom_event` API to emit custom events in an async setting. \n",
|
||||
"\n",
|
||||
"\n",
|
||||
":::important\n",
|
||||
":::{.callout-important}\n",
|
||||
"\n",
|
||||
"To see custom events via the astream events API, you need to use the newer `v2` API of `astream_events`.\n",
|
||||
":::"
|
||||
@@ -115,7 +115,7 @@
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"In python <= 3.10, you must propagate the config manually!"
|
||||
"In python <= 3.10, you must propagate the config manually!"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -28,9 +28,11 @@
|
||||
"id": "289b31de",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"```{=mdx}\n",
|
||||
"import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
|
||||
"\n",
|
||||
"<ChatModelTabs customVarName=\"llm\" />\n"
|
||||
"<ChatModelTabs customVarName=\"llm\" />\n",
|
||||
"```"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -15,15 +15,43 @@
|
||||
"\n",
|
||||
"Make sure you have the integration packages installed for any model providers you want to support. E.g. you should have `langchain-openai` installed to init an OpenAI model.\n",
|
||||
"\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
":::info Requires ``langchain >= 0.2.8``\n",
|
||||
"\n",
|
||||
"This functionality was added in ``langchain-core == 0.2.8``. Please make sure your package is up to date.\n",
|
||||
"\n",
|
||||
":::"
|
||||
]
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": null,
|
||||
"execution_count": 1,
|
||||
"id": "165b0de6-9ae3-4e3d-aa98-4fc8a97c4a06",
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"metadata": {
|
||||
"execution": {
|
||||
"iopub.execute_input": "2024-09-10T20:22:32.858670Z",
|
||||
"iopub.status.busy": "2024-09-10T20:22:32.858278Z",
|
||||
"iopub.status.idle": "2024-09-10T20:22:33.009452Z",
|
||||
"shell.execute_reply": "2024-09-10T20:22:33.007022Z"
|
||||
}
|
||||
},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"zsh:1: 0.2.8 not found\r\n"
|
||||
]
|
||||
},
|
||||
{
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"Note: you may need to restart the kernel to use updated packages.\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
"%pip install -qU langchain>=0.2.8 langchain-openai langchain-anthropic langchain-google-vertexai"
|
||||
]
|
||||
|
||||
@@ -22,7 +22,7 @@
|
||||
"\n",
|
||||
"The **default** streaming implementation provides an`Iterator` (or `AsyncIterator` for asynchronous streaming) that yields a single value: the final output from the underlying chat model provider.\n",
|
||||
"\n",
|
||||
":::tip\n",
|
||||
":::{.callout-tip}\n",
|
||||
"\n",
|
||||
"The **default** implementation does **not** provide support for token-by-token streaming, but it ensures that the the model can be swapped in for any other model as it supports the same standard interface.\n",
|
||||
"\n",
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user