mirror of
https://github.com/hwchase17/langchain.git
synced 2026-02-07 17:50:35 +00:00
Compare commits
8 Commits
eugene/con
...
eugene/why
| Author | SHA1 | Date | |
|---|---|---|---|
|
14347acbce | ||
|
|
3ece5497ac | ||
|
|
1b053e961f | ||
|
|
54d5b74b00 | ||
|
|
15d49d3df2 | ||
|
2b38a4ee55 | ||
|
|
e8ce5cde99 | ||
|
a7aad27cba |
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
|
||||
|
||||
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 }}
|
||||
|
||||
2
.github/workflows/_release.yml
vendored
2
.github/workflows/_release.yml
vendored
@@ -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_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 }}
|
||||
|
||||
73
MIGRATE.md
73
MIGRATE.md
@@ -1,11 +1,70 @@
|
||||
# Migrating
|
||||
|
||||
Please see the following guides for migratin LangChain code:
|
||||
## 🚨Breaking Changes for select chains (SQLDatabase) on 7/28/23
|
||||
|
||||
* 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/)
|
||||
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).
|
||||
|
||||
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.
|
||||
### 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`
|
||||
|
||||
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)
|
||||
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
eNrtWXlwFFUaD4cILIqFIIpbbGc4gpie6Z4rM+O6kAuQkMMcCBgYO91vZpr0dDfdPZMMMbvCAopHwQjIKrAuJplACkiiEGsXTygpKBWvcgvQYlFwhXU5BI8VBPZ73TOTSQigVeruH1Ap0u973/e9733X772Xhc1hpKi8JPbaxIsaUhhWg4G6YmGzguaFkKotigWRFpC4xpLisvKGkMLvHxPQNFn1WCyMzJsZUQsoksyzZlYKWsK0JYhUlfEjtbFK4iIHeverMwWZWq8mVSNRNXkImrLaMwlTggso99eZFElA8GUKqUgxwSwrgSmihkk1AUZTCS2AiBrEwC+F4EVC9U0w1c/GaiQOCZiNFZgQh0gbqUqiiDTSCstQVqsba9MkSYgvJDJBfSGNCfNCxKsiRmEDXgWpIUFTvXNBGAtwSGUVXsaOwMzZhMFHINHPi4iQYCbIz0cc4ZMUArYtKygAu+PDKJNgWDakMBr+EjlCU0KqBozxFcxEhYp8IUEXrAEZIiKFCBEBhyaBgFoD+9O9jmNAMFVSSCNAnwLOIFAY/gcV94gyUNWAFBI4ogoRTMI8EFQiZrwBHrN4VTaAggzsoM4kQ4iQovG6w+tMOqf+1W2rqZqwSYIkVRMhWfdiRNZdp2oKL/pN9fVAwynCK4jDzo0rnZ3CKlXNRawGrLPrmwOI4SDRljUGJFWLtl+SOq3gOCRrJBJZiYMFopv983k5k+CQTwB3trA4rnpuRluqEZJJRgB/xwypaBsjywLPMnjegsO4KZ5CJLbl0ukWnGkkJKCoRV/MTthhKYlAposEZbbZzda2WlLVGF4UIFVJgQGTYrI+vz11QmbYatBDxqsoGjOEt6TySGq0qZBhi8u6qMSejjYxStBpfyGVroREyC8Ubc4tuXS5+GTncjYzTZuz2rsoViMiG23yMYKK2pNOToq0QG3YSMpJUvSWhJcESG0tEG1w0K4NkKsyZB/6YwxUaiF1YSNEBL21uzles88VFySieTBtSGMeRCf68iSFzySsWUQZkglcewTt9FC0h6aIyYXlm3Ljy5T3GIz2cgVS3wcByU8Ev5kNhMRqxLXk9hj2/abObeFiE6AeNTLesCBYeBhttFMUtX/sFTkVKBBexCs22txu91X0gmeQFt2K90dSbtKaVW7s0mGftZ/oSdLoenF7YtgesGj0FTg77UlwE1fk7tkemprVEjea5LnoS/Dtpegc7V6RnqnOiIRLa5Qp9qn3zq2RCpRttSQrSCGO1KD1I1JPiFotup9gs5wOm8NGMQ4f8rmRFTk5q5PzuVm70+ekkL0hzDPRFtpME35J8guoNXcSmctAyyHL9LSJNufNLMouvCd30wyyVKqSwH/lDPhZlEQUK0MKpGO0RV8aClxBMRAvzZ4Z3epi3WyVA7FuZGetPh9L5kDdJBIomSCNuDvoELMgZnSkN3oN+81j/dP0f33KlxcX7Jx40xuvTn36zC3vf7XMdzJncGne8ez8p9Kf7li6Zr/m7yjNfWX7aNPReQffOvf24a9L7ntg/aqGN2/59u0PTsf4kScOzP72+7On902/62Pp9Yfm3DWidUrfZX37VZ1qeMi0bdzzCxc4y4+8nnOMrrB7946hVuw9k+lFkTkPLbC2Dblz34sXhm9Mr13NcUXZu9x/FdoveoYyZZu/DNcN2Pqv/t7Hdo4YRHWsGGzZ9qon/fHP9uQ/eaSictSCyUNq7nn9G7loaOsDn6woKR7qd7zTNxJ+ZDci0UNMbRYxwjN8wOQzr+Z9kHN07SMFvd/cU9eHb3ntmwnetUsGV/VaIw3sk37MG3zh1iUS7P/ixT5pw84tX8f0Sku7PJC/nIrjBiLqIG6AgIHfva6rM8G0txpFdNwMCxFSK89zZGWXlVbno5zQvOKZrlrOUVAAaVNmpwqri7IwWiQQxpSK2oxI+KDUWV5lJcyEDwZxZARWa2YCf7wc9PQAlma4MPADwOigxgqA8V5OwjWiAzoGG1TbIznBbYAqUPV2mDKhMDXeznNG91k+GD+d6BNJ+FrSUoGBI1sHjg4DDpL9wWI12+CnNdtAsvyekSxmTEcbxlvGX6a9bUmk+7R4W7Y66av00B/TtRdfRVf35RtpJ0UnSrYJn4Fqr9L17bjrX2ZzXYr2QL/s5GnkCqli8kmCINV4Q7I3eToyecSQIGSaEgE2Rom4QQ6YkqkFBz+N1/AR03Rf5xplsMaklDVCCpwkTYmaqKmpMccNwuWB6wJ4kgljqssQJMNnGXCOysAHS/jI6KI0I5PIUJDf4MnIhe3DuU/kGUxnJUByJYInKkQenxFx20QqIfmI7CBSICCYDTIGWGxZ5iwXHumaSNpqNduhXDK0+V6ewyriEpZpkurNFv0IzgG6NJgo4POCF8kSGwBOOsuaZXdYXTYqdRqr6EQRgnJ7KCqjHltpnD31LQqMqkEEOLCS66aPdlO6vhSO7ipdHrsDm6ShoOxlsaTD7EyMfTB2UmYaxrzq5RjsFlp3ksjxSR9jYNJ9HBLFCNbFs4ZnLRaWE7tHKz60OO21TrsFdFpo2maWRb/hfQ5vmgaExdus4UXOG5TxhuxmKkGo1glOsyNB4JBfQVgui06SeAVbkF+Uj9XCRUBVQwryBqt07bRV15Yk89hcq9vschlUlpe9wSDQqAQfpuhcBiUQCvLgAewPF/aWjpd4Fr59CAmqwFejVHd2ElN8ii1lA7wgGJy25BYNIuZ0OPRtQofQgI5qDU5rN6LOadeJHKqRJbgxGoy02Z5K0/kM4TAEtBpvkXbqy+JxkMf56SHcOiUUxhmuf/rhthSPg0uX1glGHMBsZ3091CAUlgKlTJndLjihuGko9NRWjvtAfWZnxU+RoLAj+MaFWMhP/erVpUozic7KzCQqyrIJksBFAfc3nMk4mXrsDt14kgkXUhkL9C8y2b8sAd2ELu0DW0VWRUj8m5j0w20zE4kOVi5BTidH8V1C580DalLhTGiWSMHJX4KHCe5cOEaC2cS4bGjpuGHeQeQalS5EIGusxI62SWaiDPobSENr0tMOrp7jEgowxkBZerpaC1dT4Bf1KUYgsnlFlhRNt/sOUIcQEQTDkhfauMPMXWNqdVrtNkdPQTVauo5yXux8kweyxl3/E71U9Jd+tpeKTKJTkFFVHrwHIl2kMUTFb834ucIL+jHDD3uv0K/7XS72l8dSfG3nucQ6IbgXVMz3uSUn52BcU8ISssuImeX2OUxwaU+1+9INdzfZsKqbU+6vq8SlUwnflVfC1kqQq0wIGtzXEPYawl5D2F8cYSv1fnWZqv2xmNdDWf+fI19liKKqqF8Q/cDfsxOv1Ljte39Qd8ZdXPUiRZGSd1to2NeexK89iV97Ev9Jn8QbrbTD/dO+ibuvvYn/D97E3T29iedPd0tu2R8qv28GN7miBKmlkxVauuybOLIxXBVThSjKxVqtVZTPyVH2LJp1ZNmdPmT7ed/EnTRkos31o97EexekvImXvVd0O33T96tWNU3N+9ui0RMDJzbnl4zfVloxcMPK8QfWZq0dVlf/9QmHO/3CUunQm+O9Exdn3P/Cn7888Xi9tNbRNEB58dbiolZpx57Vrc9uKRZ/P2fkO8Vfbz8e+zxGHXCsLI72Pxi9Y9qjv+sz7tO86IdDx+YVHFwZO71v1oiRg8ZYV9zYfPjYJ7WedWt2lEdXzSj87osL+aX8mj3nS59ZNo5LtwYKiUUbW9KjW+c0HW1vKVw6g8nd4BgjDxq+W35q+Z0ZFX0zCFK9/vZmBzFu8ZIhc9f0/3Qg9cZT5Fu7ipf527Lc8+f/9rbHD00ubHt06fih1208POkvpxcN4I5PGXjqxJbp+1wdpWnPLx6/pGLaowXFrdJN726ZN+zspn4jVx1aOKKp7eNtz2TUfmQeu+M98h+n8wf1DWwuG37b3TNKtTkPrKo6GrHc/If/fPPd/ietZ5bIx/cttOd1LNr5iaD1Xb+RkZyeEUW7GkbNePj8/FPeh0u03TS/rmbmoZdu2Os5PrV2Qt31y9ffmSEee3Dw3nRXce+6Fbdt2kmstrS+1t4UHHB922q1eIN93xO9vrSM+eqVtPCwux+O3v2rvR+ty3h/yUT+Weq7G6cfPf+F69zKdeG2f589P+SudwPtdbevOHJj5arPTm/cdfPA53OGRT5fz0kLOm6omHqL/Z9PesSNJ9v8dNDWEHzwosuZV91r6L7l3446c2o79Vz7zNE5S4WpucLwA2Od71y3fgI5Lz925O/ndmw9f3LcyScOxz5cvMvR/ifld+uGje04O2LNr4tHjrzQy/hLwpHS6aPq+6Sl/Rf6+rIJ
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
eNrtW81v28gVb3soir310vNU6Na7gEiJ+rLkRVE4Ttwkmy/E3ibZOBBG5EicNclhOEPLiiGg3ba3AoXQ/6DrdRZG9iPo3roLFD310H8gPfRv6XtDUl+WnewiEX1wDjE58+bNb968zxnq46d7LJJcBD98xgPFImoreJF//fhpxB7HTKo/HvlMucI5vHN7a/uTOOIv3naVCuVaqURDbtJAuZEIuW3awi/tWSWfSUl7TB52hDP4749+dlDw6X5biV0WyMIascqVWpEUMipoeXhQiITH4KkQSxYVoNcWACVQ2NR3qZJEuYz0GYU/EeEBkd1fF4aPkI1wmIdktkdjhxlVQ4ogYMqowDTlSqWF3KSKGPWBSkUxg3clhJdOHFBfT6zoHvcGbcloZLvtiMnYU7L9ETBDBg6TdsRDFAwSr5OEjrCgxwNGBPT4/AlzSFdEBMQQRsyF1fI9mI3adhxRhU+BgwikAsJ0BpN8IFk39vTAPowhAxGTgAGFEjBA9mG9ehdwTwjtiFgR4BeBcAjbg/+BxbUghFbpithzSIcRmsGDgdHAxAVwJGlL22U+hRUcFELYMhYprjfgoKAp9dPcUqc5ISRPiF0Sh8hTDUItOpAuD3qF4RDaUGV4xBwUbsr00RSp6HzEbAWkj4ZPXUYdULy/HLpCqtHzE6r0JQiOhcpggS0cmGD0ee8JD4vEYV0PxHls4z5rXR0d7zIWGtQDeR8lo0Zf0TD0uE2xv4Tb+CxVKQOxnOw+Rs0zQCEDNfpmXQ4Cez0DU7ozAPUPSNms1szKV/uGVJQHHuiv4VHAdRTq/n9Md4TU3gVmRmpao6Nk8BfTNEKOPr1J7dtbMyxR3KNPaeQ3an+fbo/iAJSMjZ5u3Dk5Xdo5ma5qWpa5+nyGMS5q9Ln+s6b/5+L5WOLjocdgOFWj3DDK1heZyDzQc+WOPqlXa5+B4oagiuwPR8BaxfLjQ9ge9p9/P00N+m+338+29n8/+OnhZdiq0bebES+SyirZYiFBwyRWY61srVVa5Dc3t59tpNNs4868IIrtq5LWbSMx3PeI7dJIMvWrWHWN5vPtCAyjC9t1JVONp7YbB7vMOd5YqBSfb1DQfAPnAUcz+iwQho0tLwqT9aOJemDFykjdHuwuvo4Oa+Vy+cUvz6SMwKx4gEgOq61W6yV8QYRMjb5GQRjlllFZ3U7EUa99+IIsGpn4zhTPEeIBRL84g3KC5wjwIDU5k3oxnkrzw+MUtMGd0Tfw3C5b11cvXaG9u5fu3Kv1Nv3+rnh85frj7U/2OB0dW6ZFekL0PPblxqaRSH1Lq8no6eUHt9ZvXtt4dt+4KzoCxLBNQVyBCNjRFotA/UbHtidiB6w7Ykcw/O76g9HXTbtldxqN+qrTYs1uwzEu3d7SgeX3R4nf+e+PB1pX1kiqgG3Qy0i95VBF0Z8lrqcw01koZu+FtYMCd7Bf9mBtN1XNYvKyq27K65eu1K9X1MbVVh3IZ7lAQxKwClRKDiwDzTIJRWdEoklYe/ioCH5ThBBpKMaYtSD2vLRJosgDm2WN8RioduJZIK00WsUChIPpNms4JPBv+NZbqUzSCdsdT9i7iyWzgASQ8sBh+4W1cnG2H2Gk4zCItsFrIrGTvscgw/u0FYXgXvf3ex8+uPq+s76/yq5uA1USas+MtMkSYZJkHWR2MSFs9xx6Ugh17DllwbAhip69YE0ys+CkZbLQROwIcEwcgpA49RLUa4XCBO3pwl8SloMdhJMzCB35d2B7dgqSBudJPKQLwcOeQZQ7Ji5tkSW3c8hyx7ZTGE4gne5XRPgytyLCKSRz3DLnvHBNM52FqTXM+M9pd7TAiw6n3Oicz2yUhwugLFrSdF8Bx5xeIn07XSElHk+XR4nX0wHsn1ma9LvvklP96eyMqlo9mVGdyHW/yLpvJHndodWo1E9JnbLY/ClWOvtzkffBuHBAM09Ma0aZi4Wu8DzRb8dhe1zFZHEtqW6yN+4n1SBGxjQowAvInisdae9Nir8tmGszm6tINgAolE8BR+2IIwzBmfT7/b6ZYsGNwB2YjsKFgxXQTi2YFdjnFYxQ8LAyM8FKkaxErJfQrEwmw3ZbQOIdDbDjg4BjXYfZDpNEdMm6zyKQOpJBvQIk1VVztYlvmpNhVSpmrQLv6kmbO8giHVG6IWR7PegxSNv1aIDoYXrfZqGwXaC0ViurtXqliYX0pBtZTHI4Um6tlcsrQ0SZ1It6iR6VCnYDNJs5c/wsSBQ12AnFPMvmWq2OkBTzw7aNI+umlb134b3eMnFJXLYdimKxtJACh49ljNm9lnEcBAPkxe1EsqWS7QTzu5W+lhq1/UatBDxLllU1w6CXSN/BRVuQ3+Iy++Bd2n6IC6qZ5axhVzc0zHrW4LBexHDcqjVu4hEiuHLrCrKF4l3KOGJtv6O5WxXNbdzMEW6lZTZbSavNw7bvQ1s5o8MWTZW0uLHPQQIojxa+6zQXe+G5y5gnPb7LpsU5aZySKSK1Xe55CWV1vMSkUVPW9TLBVSjtaRPKylyjpqzpRof1Q8HBS2tCy6xNt2m6ZPAebOguLtFq6Gnx3eeon7Ak3RLvoYbrx14MCpTsQ1OP1g3JPgDsxnCIPtoWEZh12Wy1arVmuQ5GT/vtsWUmPnti/aeaPDpA0L4OeAbtBjM3sQnsbdBkYhCHgvc9yzUo2tHKxoKSU2KlcqsUa2PG4hmMuWSPZyuBmzPGbm7Wl2yCVpEbIuiRuxSM9yQSPOJ51XWYMMyGaOaQy4g+Y1Yk22BpYB4KFLFIwIYiLpMHKOGSE6abQgShSyUbzyxNYprmJFScQHaVeZhGkwciJut7gjvkEnUyMpNUyyDDgdTcO2wA5mymsMYc9Ot7uB4WODTC+eY2udKqLNrjxNvr6NdGJ1ZYq5rV+vA1HT7+5M9v7PCxSCYDp6rA6dEPJ1XKJDshr3jkmFZCU2dzp8RYPHbDAoy8rAIbPpoBfXK183gTSHMSeQgFBlhSktyfEWd3YNxONjChvoi2F9H2ItouPdruaGd1ttV+7xC4wMwvAuFsIAT5PyoUJzGg/UreGr26bLMoElAikS71JAMHfnHldXHldXHltbwrr8OK1Wy+1juvav3izuvN33k1v++dV7W26M7Lqt9i7oZ/69L2vc3HrcuD7fcbruW/2TuvZqvTsTqL77zedl7fndfWB5v3bm1uNfx7Yu/J3eb97qBm3++ezzuvVnX1xJ1XZfiqR+av9/oLLBaFhH/mboDOwZ0VwhqTpRh3gp3gEqRDGdalA3AIhBSspdMImx3zDnNBA6W08Mm2ToJefsXxxmAUCaSWbLnXPgvFwSHXGsNY/vQy9n0KCRfU8qgiacJ3DuSSHfyMC2uZ3kFobMvHM66a1tCgjWkJLR/MtqtVd/kTq0n5l6PSos1EIg5y3QSH1FvLvNBehOFfX22Sd6x6CiOH6TfeNfOWAbmm8gploIcST/hInyuX2B7E17y2gshdqLBhM3LJbwz0SCCFaYvMwSC5fNPf4CwUvcd7rirO2sHyUZzwiLlsQc3I2x80iB+65J35FGb5OAyrnGOM3A3dd/O0xiTPx5wSyk6Vu1YEIgIseFTs8Cg5tjFJXs46cZlX0xuTfFNJiGEu+K/c4hZVpFV+28xVCHMZ/fKF8FsueYd7oAy4Hz0hHJDLOSjCzkOW3cqn0tE3f5BcN/JKLnf9E7l1PpaRFps5q2JyeJV3kpWenZEwEnvcYbnvD6HEYYqCrua/Rc7k9Ci/46KIhRDp8zzbzDHnS2/M1+9cI1TmXpf3mecBDuIJPHbPAYER6Q8hMtXoph8L5BnoeQAofH0ZnCcMAJG/65r5FmViOrmZzTbt5H6YZWshLH1ak9zeYxH1vNy1ojj91WcegWT+hw5ZUPMG5yDYhyFkQXJ5P+xafAcg8NOf0INqmuYU7PG4NTl51cee56FSChwsGfI9/5y6nZHFvHIg5Yq455Iu5dGUzSwfB36QmocvdfK/EbnBFPEZ2Q1En/BuvudL468MKViryMurJ0VSzp7z5y/7BOT7/aDzdf+kkwVOG1xI8J1/0mmt1oanAXr5DzvHI/8P7fUwPw==
|
||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
eNptVQlsFGUULiURa5RgIgJBw1A5EuhMZ3ans91y1O0e7baWrW2BFpA6nfl3d9id+afzz+wFCHKoAa8BTYzhCLTdNbW2HBUQBUWDJ55RoAkxUWNUqhGRgGAI/rPdSkuZZI//Hd97/3vfe7MhEwMakqAypltSdKDxgo4PyNyQ0UCbAZC+KS0DPQzFjrpAQ2O7oUn9c8K6rqKy4mJelSioAoWXKAHKxTGmWAjzejH+r0ZBFqajFYrJ/qurC2WAEB8CqLCMWL66UIA4lKLjQ2GVNJ3wz5aJCthKFRYRhRqMAktuIKAVri0ibjG27KYTVTBOCLxC+AkeIQnpRBIahA5FPlk+HGNQyWPfW4GW4jxnI0JOEgovg/LRgR/DEhmKIGqJQqpOspCUJUWyLBUsY/Av0jXAy/gQ5KMIYIEOZBVXUDc0C4mmHGszYcCLuL7f503oCEOkmz0ja9bLCwLA6EARoCgpIfONUEpSiwgRBKO8DrpwygrIdsTsigCgknxUioH0oJe5j1fVqCTwlr54FYJKd+6KpJ5UwWh1l3U3ErdB0c2+AE7C5S+uS+LmKgRDsaUUvS9B4npJShR3i4zyOJ+0mtW/PVyh8kIEg5A54pjpQeee4TYQmZ21vBBoGAHJa0LY7OQ1mWMPDpdrhqJLMjAz7rrR4XLKm+HsFMNQjv0jgFFSEczObCMOj3AGupYkBYgxzD10WoAwIgGz/2JLixBsaZUX1MTD7qVepzfiT7b6KtuCpdC2lE0auj8IXJEY12pLCHZXqCnpXhwhGYfNwXIcy5SSDEVTDMWQ1TQHK+ubZdmjiXSdz2GPIWVJMFDBpQwx4aLcFUGfEUgAw0MBx7KmkD9eZbO1NVdUrKKW2RtbVml6VVtMslOLUEN1PV8T91W3NHlj8XkEzs6ISeKCqhLeWyWHwy2LXVBG9OLaWGSRjXPU10RSMdhmK1kCacrrS3qXVYeGpUfb7SSdy5Cj2VLaenqGuBEFSkgPm+021vmaBpCKxxRsTOOS6Qba0IF5CE59nMnN695AzU0KT+zwYE6ax3yaVETYHEQDUAkbbWMJxlnGOspomqisbex258I03paC+xs1XkFBTEPvEOUzQthQIkDsct+W7McssuNOWunjGSVBQoUIkLmszO4msn5wUZF+z8HBySKhFuIVKZUNax7Lsj6eSsRFwRDFcCwu084Ua5dagSEE+3IuqgatMDghUkZmO+uw9+Q0Q7zrwnelSYYmaeYtPPqSgMfMuowKNZ1EQMCrUU+a/UUyn7BmbIGdKbFzuPDzCEkRooYIGoxWD5QxM9E8QtVAFPLi0QSJ9wWISrKEG5P9zq1dZHaUYOcjow10GAF4QWfYbFvp48MtNGDhW5e4CcM6nc53bm80BGXHJk6OPTrSCoHh2TA2GR0ZbZCD2Euj7sSQNSmJZv8MfGhhgw5At5ZwzmApzTEcC4CDc7I4I04oLWEFsdftI928EAZkQ5Z/ZsbTvMhV63cfaiKHE4kMqIOvpYwCkSIFg+kGoOHGmF1CFBoiXpYaSGOselez2VcqOAFNC5wNE99JcyVkBV5DQ2j/067D2rTZ99OTaaudSujkmNi0rXfmZZ+x+HPjhv7iiUUf0BM8f17dcvKXO96c3rdnkmdMwaZv53ZN2LJD3H7k7MrPYuu7zr/7UEbOH0ctPPX3s8HYtDH0o/tn7jvw8/FG34fxK68//VwisWLdF+Urfy9b++lKePzwC5uPLR2YxBWMn3Oo6drBgQMzwIyU69ozNVvPCVU7yW3est2ZT/rGbZnz0onTk6dl7pu7x7vjke3sLurH5ph2eEa1Hi2A9+a9d3ydO/DYD47lFbu/m3vXzp/uOfDzhYL1zdtc/DnnD/PP7Kr1NW27/Nq/56eeLwr3TNi0ceLESRc8LXXaPV9+tZfd1z5+/uI1joJ/LsefPXkUzX/k650vzb5OX9r27eSazfP+cvVuvr/nc1KrLNPVXXcP/DY9P/Hnlfi6WYzgn7J79bWHH8zv/UZ4YGrvwvf7p6Qurng+9er10KdzL62oujLw1O9nA78G735l/Mx/Xz71x47Kl89UOMLPTfxo++lZvQcH8q+uMTuLyjzl2eKOzfM9UR57PD8v7z9er1OE
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
@@ -1 +0,0 @@
|
||||
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
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -1 +0,0 @@
|
||||
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
|
||||
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
File diff suppressed because one or more lines are too long
@@ -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
|
||||
|
||||
|
||||
@@ -1,16 +1,9 @@
|
||||
---
|
||||
sidebar_position: 0
|
||||
sidebar_class_name: hidden
|
||||
---
|
||||
|
||||
# Conceptual guide
|
||||
|
||||
import ThemedImage from '@theme/ThemedImage';
|
||||
import useBaseUrl from '@docusaurus/useBaseUrl';
|
||||
|
||||
In this section, you'll find explanations of the key concepts, providing a deeper understanding of core principles.
|
||||
|
||||
The conceptual guide will not cover step-by-step instructions or specific implementation details — those are found in the [How-To Guides](/docs/how_to/) and [Tutorials](/docs/tutorials) sections. For detailed reference material, please visit the [API Reference](https://python.langchain.com/api_reference/).
|
||||
This section contains introductions to key parts of LangChain.
|
||||
|
||||
## Architecture
|
||||
|
||||
@@ -123,14 +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:
|
||||
@@ -243,7 +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:
|
||||
@@ -263,8 +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.
|
||||
@@ -618,7 +609,7 @@ Read more about [defining tools that return artifacts here](/docs/how_to/tool_ar
|
||||
When designing tools to be used by a model, it is important to keep in mind that:
|
||||
|
||||
- Chat models that have explicit [tool-calling APIs](/docs/concepts/#functiontool-calling) will be better at tool calling than non-fine-tuned models.
|
||||
- Models will perform better if the tools have well-chosen names, descriptions, and JSON schemas. This is another form of prompt engineering.
|
||||
- Models will perform better if the tools have well-chosen names, descriptions, and JSON schemas. This another form of prompt engineering.
|
||||
- Simple, narrowly scoped tools are easier for models to use than complex tools.
|
||||
|
||||
#### Related
|
||||
@@ -741,10 +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
|
||||
|
||||
|
||||
@@ -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",
|
||||
"```"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -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",
|
||||
|
||||
@@ -155,9 +155,11 @@
|
||||
"\n",
|
||||
"For example, OpenAI will return a message [chunk](https://python.langchain.com/api_reference/core/messages/langchain_core.messages.ai.AIMessageChunk.html) at the end of a stream with token usage information. This behavior is supported by `langchain-openai >= 0.1.9` and can be enabled by setting `stream_usage=True`. This attribute can also be set when `ChatOpenAI` is instantiated.\n",
|
||||
"\n",
|
||||
"```{=mdx}\n",
|
||||
":::note\n",
|
||||
"By default, the last message chunk in a stream will include a `\"finish_reason\"` in the message's `response_metadata` attribute. If we include token usage in streaming mode, an additional chunk containing usage metadata will be added to the end of the stream, such that `\"finish_reason\"` appears on the second to last message chunk.\n",
|
||||
":::\n"
|
||||
":::\n",
|
||||
"```"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -23,15 +23,12 @@
|
||||
"\n",
|
||||
"We'll go into more detail on a few techniques below!\n",
|
||||
"\n",
|
||||
":::note\n",
|
||||
":::{.callout-note}\n",
|
||||
"\n",
|
||||
"This how-to guide previously built a chatbot using [RunnableWithMessageHistory](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.history.RunnableWithMessageHistory.html). You can access this version of the guide in the [v0.2 docs](https://python.langchain.com/v0.2/docs/how_to/chatbots_memory/).\n",
|
||||
"This how-to guide previously built a chatbot using [RunnableWithMessageHistory](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.history.RunnableWithMessageHistory.html). You can access this version of the tutorial in the [v0.2 docs](https://python.langchain.com/v0.2/docs/how_to/chatbots_memory/).\n",
|
||||
"\n",
|
||||
"As of the v0.3 release of LangChain, we recommend that LangChain users take advantage of [LangGraph persistence](https://langchain-ai.github.io/langgraph/concepts/persistence/) to incorporate `memory` into new LangChain applications.\n",
|
||||
"The LangGraph implementation offers a number of advantages over `RunnableWithMessageHistory`, including the ability to persist arbitrary components of an application's state (instead of only messages).\n",
|
||||
"\n",
|
||||
"If your code is already relying on `RunnableWithMessageHistory` or `BaseChatMessageHistory`, you do **not** need to make any changes. We do not plan on deprecating this functionality in the near future as it works for simple chat applications and any code that uses `RunnableWithMessageHistory` will continue to work as expected.\n",
|
||||
"\n",
|
||||
"Please see [How to migrate to LangGraph Memory](/docs/versions/migrating_memory/) for more details.\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
@@ -45,11 +42,14 @@
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"name": "stdin",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"OpenAI API Key: ········\n"
|
||||
]
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"True"
|
||||
]
|
||||
},
|
||||
"execution_count": 1,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
],
|
||||
"source": [
|
||||
@@ -98,7 +98,7 @@
|
||||
"name": "stdout",
|
||||
"output_type": "stream",
|
||||
"text": [
|
||||
"I said, \"I love programming\" in French: \"J'adore la programmation.\"\n"
|
||||
"I translated the sentence \"I love programming\" into French, which is \"J'adore la programmation.\"\n"
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -121,7 +121,7 @@
|
||||
" {\n",
|
||||
" \"messages\": [\n",
|
||||
" HumanMessage(\n",
|
||||
" content=\"Translate from English to French: I love programming.\"\n",
|
||||
" content=\"Translate this sentence from English to French: I love programming.\"\n",
|
||||
" ),\n",
|
||||
" AIMessage(content=\"J'adore la programmation.\"),\n",
|
||||
" HumanMessage(content=\"What did you just say?\"),\n",
|
||||
@@ -196,8 +196,8 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'messages': [HumanMessage(content='Translate to French: I love programming.', additional_kwargs={}, response_metadata={}, id='be5e7099-3149-4293-af49-6b36c8ccd71b'),\n",
|
||||
" AIMessage(content=\"J'aime programmer.\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 4, 'prompt_tokens': 35, 'total_tokens': 39, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_e9627b5346', 'finish_reason': 'stop', 'logprobs': None}, id='run-8a753d7a-b97b-4d01-a661-626be6f41b38-0', usage_metadata={'input_tokens': 35, 'output_tokens': 4, 'total_tokens': 39})]}"
|
||||
"{'messages': [HumanMessage(content='Translate this sentence from English to French: I love programming.', additional_kwargs={}, response_metadata={}, id='200f88bb-936a-4877-990c-8b4112d82cfe'),\n",
|
||||
" AIMessage(content='The translation of \"I love programming\" in French is \"J\\'aime programmer.\"', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 16, 'prompt_tokens': 39, 'total_tokens': 55, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-d4ebcdcf-9a60-4471-ad8d-96169f614ada-0', usage_metadata={'input_tokens': 39, 'output_tokens': 16, 'total_tokens': 55})]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 5,
|
||||
@@ -220,10 +220,10 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'messages': [HumanMessage(content='Translate to French: I love programming.', additional_kwargs={}, response_metadata={}, id='be5e7099-3149-4293-af49-6b36c8ccd71b'),\n",
|
||||
" AIMessage(content=\"J'aime programmer.\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 4, 'prompt_tokens': 35, 'total_tokens': 39, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_e9627b5346', 'finish_reason': 'stop', 'logprobs': None}, id='run-8a753d7a-b97b-4d01-a661-626be6f41b38-0', usage_metadata={'input_tokens': 35, 'output_tokens': 4, 'total_tokens': 39}),\n",
|
||||
" HumanMessage(content='What did I just ask you?', additional_kwargs={}, response_metadata={}, id='c667529b-7c41-4cc0-9326-0af47328b816'),\n",
|
||||
" AIMessage(content='You asked me to translate \"I love programming\" into French.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 13, 'prompt_tokens': 54, 'total_tokens': 67, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-134a7ea0-d3a4-4923-bd58-25e5a43f6a1f-0', usage_metadata={'input_tokens': 54, 'output_tokens': 13, 'total_tokens': 67})]}"
|
||||
"{'messages': [HumanMessage(content='Translate this sentence from English to French: I love programming.', additional_kwargs={}, response_metadata={}, id='200f88bb-936a-4877-990c-8b4112d82cfe'),\n",
|
||||
" AIMessage(content='The translation of \"I love programming\" in French is \"J\\'aime programmer.\"', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 16, 'prompt_tokens': 39, 'total_tokens': 55, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-d4ebcdcf-9a60-4471-ad8d-96169f614ada-0', usage_metadata={'input_tokens': 39, 'output_tokens': 16, 'total_tokens': 55}),\n",
|
||||
" HumanMessage(content='What did I just ask you?', additional_kwargs={}, response_metadata={}, id='df32f0a6-38fe-418a-98fe-7a5f17d0b812'),\n",
|
||||
" AIMessage(content='You asked me to translate the sentence \"I love programming\" from English to French.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 17, 'prompt_tokens': 70, 'total_tokens': 87, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-1ee8ad67-d7f0-4bb9-adff-e632be6e2825-0', usage_metadata={'input_tokens': 70, 'output_tokens': 17, 'total_tokens': 87})]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 6,
|
||||
@@ -259,12 +259,12 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'messages': [HumanMessage(content=\"Hey there! I'm Nemo.\", additional_kwargs={}, response_metadata={}, id='6b4cab70-ce18-49b0-bb06-267bde44e037'),\n",
|
||||
" AIMessage(content='Hello!', additional_kwargs={}, response_metadata={}, id='ba3714f4-8876-440b-a651-efdcab2fcb4c'),\n",
|
||||
" HumanMessage(content='How are you today?', additional_kwargs={}, response_metadata={}, id='08d032c0-1577-4862-a3f2-5c1b90687e21'),\n",
|
||||
" AIMessage(content='Fine thanks!', additional_kwargs={}, response_metadata={}, id='21790e16-db05-4537-9a6b-ecad0fcec436'),\n",
|
||||
" HumanMessage(content=\"What's my name?\", additional_kwargs={}, response_metadata={}, id='c933eca3-5fd8-4651-af16-20fe2d49c216'),\n",
|
||||
" AIMessage(content='Your name is Nemo.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 5, 'prompt_tokens': 63, 'total_tokens': 68, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-a0b21acc-9dbb-4fb6-a953-392020f37d88-0', usage_metadata={'input_tokens': 63, 'output_tokens': 5, 'total_tokens': 68})]}"
|
||||
"{'messages': [HumanMessage(content=\"Hey there! I'm Nemo.\", additional_kwargs={}, response_metadata={}, id='99321048-3390-4da6-919b-4ad933c4913b'),\n",
|
||||
" AIMessage(content='Hello!', additional_kwargs={}, response_metadata={}, id='1c3eaf4a-b698-4bc6-a7a6-549290c3fc7e'),\n",
|
||||
" HumanMessage(content='How are you today?', additional_kwargs={}, response_metadata={}, id='6f96db9d-ac30-4b4a-9ebc-bc11ae87646b'),\n",
|
||||
" AIMessage(content='Fine thanks!', additional_kwargs={}, response_metadata={}, id='e783fbb6-2892-42ea-9859-ae449e4cfdf6'),\n",
|
||||
" HumanMessage(content=\"What's my name?\", additional_kwargs={}, response_metadata={}, id='854065c4-09a0-4c2a-9f2c-eb7182dcc9d5'),\n",
|
||||
" AIMessage(content='Your name is Nemo.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 5, 'prompt_tokens': 63, 'total_tokens': 68, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-eed15b83-b215-47a3-b374-404d6a05ab94-0', usage_metadata={'input_tokens': 63, 'output_tokens': 5, 'total_tokens': 68})]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 7,
|
||||
@@ -355,12 +355,12 @@
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'messages': [HumanMessage(content=\"Hey there! I'm Nemo.\", additional_kwargs={}, response_metadata={}, id='6b4cab70-ce18-49b0-bb06-267bde44e037'),\n",
|
||||
" AIMessage(content='Hello!', additional_kwargs={}, response_metadata={}, id='ba3714f4-8876-440b-a651-efdcab2fcb4c'),\n",
|
||||
" HumanMessage(content='How are you today?', additional_kwargs={}, response_metadata={}, id='08d032c0-1577-4862-a3f2-5c1b90687e21'),\n",
|
||||
" AIMessage(content='Fine thanks!', additional_kwargs={}, response_metadata={}, id='21790e16-db05-4537-9a6b-ecad0fcec436'),\n",
|
||||
" HumanMessage(content='What is my name?', additional_kwargs={}, response_metadata={}, id='a22ab7c5-8617-4821-b3e9-a9e7dca1ff78'),\n",
|
||||
" AIMessage(content=\"I'm sorry, but I don't have access to personal information about you unless you share it with me. How can I assist you today?\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 27, 'prompt_tokens': 39, 'total_tokens': 66, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-f7b32d72-9f57-4705-be7e-43bf1c3d293b-0', usage_metadata={'input_tokens': 39, 'output_tokens': 27, 'total_tokens': 66})]}"
|
||||
"{'messages': [HumanMessage(content=\"Hey there! I'm Nemo.\", additional_kwargs={}, response_metadata={}, id='99321048-3390-4da6-919b-4ad933c4913b'),\n",
|
||||
" AIMessage(content='Hello!', additional_kwargs={}, response_metadata={}, id='1c3eaf4a-b698-4bc6-a7a6-549290c3fc7e'),\n",
|
||||
" HumanMessage(content='How are you today?', additional_kwargs={}, response_metadata={}, id='6f96db9d-ac30-4b4a-9ebc-bc11ae87646b'),\n",
|
||||
" AIMessage(content='Fine thanks!', additional_kwargs={}, response_metadata={}, id='e783fbb6-2892-42ea-9859-ae449e4cfdf6'),\n",
|
||||
" HumanMessage(content='What is my name?', additional_kwargs={}, response_metadata={}, id='c8ba5e90-89cb-4b34-ad4c-11c0478422d8'),\n",
|
||||
" AIMessage(content=\"I'm sorry, but I don't know your name. How can I assist you today?\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 17, 'prompt_tokens': 39, 'total_tokens': 56, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-aa86d3f8-898e-4146-aa3c-2c424934b0f5-0', usage_metadata={'input_tokens': 39, 'output_tokens': 17, 'total_tokens': 56})]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 9,
|
||||
@@ -424,7 +424,7 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 11,
|
||||
"execution_count": 13,
|
||||
"metadata": {},
|
||||
"outputs": [],
|
||||
"source": [
|
||||
@@ -443,10 +443,9 @@
|
||||
" \"The provided chat history includes a summary of the earlier conversation.\"\n",
|
||||
" )\n",
|
||||
" system_message = SystemMessage(content=system_prompt)\n",
|
||||
" message_history = state[\"messages\"][:-1] # exclude the most recent user input\n",
|
||||
" # Summarize the messages if the chat history reaches a certain size\n",
|
||||
" if len(message_history) >= 4:\n",
|
||||
" last_human_message = state[\"messages\"][-1]\n",
|
||||
" # Summarize the messages\n",
|
||||
" if len(state[\"messages\"]) > 1:\n",
|
||||
" *message_history, last_human_message = state[\"messages\"]\n",
|
||||
" # Invoke the model to generate conversation summary\n",
|
||||
" summary_prompt = (\n",
|
||||
" \"Distill the above chat messages into a single summary message. \"\n",
|
||||
@@ -455,7 +454,6 @@
|
||||
" summary_message = model.invoke(\n",
|
||||
" message_history + [HumanMessage(content=summary_prompt)]\n",
|
||||
" )\n",
|
||||
"\n",
|
||||
" # Delete messages that we no longer want to show up\n",
|
||||
" delete_messages = [RemoveMessage(id=m.id) for m in state[\"messages\"]]\n",
|
||||
" # Re-add user message\n",
|
||||
@@ -487,18 +485,18 @@
|
||||
},
|
||||
{
|
||||
"cell_type": "code",
|
||||
"execution_count": 12,
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"outputs": [
|
||||
{
|
||||
"data": {
|
||||
"text/plain": [
|
||||
"{'messages': [AIMessage(content=\"Nemo greeted me, and I responded positively, indicating that I'm doing well.\", additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 16, 'prompt_tokens': 60, 'total_tokens': 76, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-ee42f98d-907d-4bad-8f16-af2db789701d-0', usage_metadata={'input_tokens': 60, 'output_tokens': 16, 'total_tokens': 76}),\n",
|
||||
" HumanMessage(content='What did I say my name was?', additional_kwargs={}, response_metadata={}, id='788555ea-5b1f-4c29-a2f2-a92f15d147be'),\n",
|
||||
" AIMessage(content='You mentioned that your name is Nemo.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 8, 'prompt_tokens': 67, 'total_tokens': 75, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-099a43bd-a284-4969-bb6f-0be486614cd8-0', usage_metadata={'input_tokens': 67, 'output_tokens': 8, 'total_tokens': 75})]}"
|
||||
"{'messages': [AIMessage(content='Nemo greeted me, and I responded positively, indicating that I am doing fine.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 17, 'prompt_tokens': 60, 'total_tokens': 77, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-94df0e9f-6b1c-4e68-858c-5b23058b16d8-0', usage_metadata={'input_tokens': 60, 'output_tokens': 17, 'total_tokens': 77}),\n",
|
||||
" HumanMessage(content='What did I say my name was?', additional_kwargs={}, response_metadata={}, id='d3f57f56-dd1a-45f9-add2-146f54c1180c'),\n",
|
||||
" AIMessage(content='You mentioned that your name is Nemo.', additional_kwargs={'refusal': None}, response_metadata={'token_usage': {'completion_tokens': 8, 'prompt_tokens': 68, 'total_tokens': 76, 'completion_tokens_details': {'reasoning_tokens': 0}}, 'model_name': 'gpt-4o-mini-2024-07-18', 'system_fingerprint': 'fp_1bb46167f9', 'finish_reason': 'stop', 'logprobs': None}, id='run-ea144209-5d37-4bb5-8529-be235626fc74-0', usage_metadata={'input_tokens': 68, 'output_tokens': 8, 'total_tokens': 76})]}"
|
||||
]
|
||||
},
|
||||
"execution_count": 12,
|
||||
"execution_count": 14,
|
||||
"metadata": {},
|
||||
"output_type": "execute_result"
|
||||
}
|
||||
@@ -517,7 +515,7 @@
|
||||
"cell_type": "markdown",
|
||||
"metadata": {},
|
||||
"source": [
|
||||
"Note that invoking the app again will keep accumulating the history until it reaches the specified number of messages (four in our case). At that point we will generate another summary generated from the initial summary plus new messages and so on."
|
||||
"Note that invoking the app again will generate another summary generated from the initial summary plus new messages and so on. You could also design a hybrid approach where a certain number of messages are retained in chat history while others are summarized."
|
||||
]
|
||||
}
|
||||
],
|
||||
@@ -537,7 +535,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.4"
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@@ -18,15 +18,12 @@
|
||||
"\n",
|
||||
"This section will cover how to create conversational agents: chatbots that can interact with other systems and APIs using tools.\n",
|
||||
"\n",
|
||||
":::note\n",
|
||||
":::{.callout-note}\n",
|
||||
"\n",
|
||||
"This how-to guide previously built a chatbot using [RunnableWithMessageHistory](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.history.RunnableWithMessageHistory.html). You can access this version of the guide in the [v0.2 docs](https://python.langchain.com/v0.2/docs/how_to/chatbots_tools/).\n",
|
||||
"This how-to guide previously built a chatbot using [RunnableWithMessageHistory](https://python.langchain.com/api_reference/core/runnables/langchain_core.runnables.history.RunnableWithMessageHistory.html). You can access this version of the tutorial in the [v0.2 docs](https://python.langchain.com/v0.2/docs/how_to/chatbots_tools/).\n",
|
||||
"\n",
|
||||
"As of the v0.3 release of LangChain, we recommend that LangChain users take advantage of [LangGraph persistence](https://langchain-ai.github.io/langgraph/concepts/persistence/) to incorporate `memory` into new LangChain applications.\n",
|
||||
"The LangGraph implementation offers a number of advantages over `RunnableWithMessageHistory`, including the ability to persist arbitrary components of an application's state (instead of only messages).\n",
|
||||
"\n",
|
||||
"If your code is already relying on `RunnableWithMessageHistory` or `BaseChatMessageHistory`, you do **not** need to make any changes. We do not plan on deprecating this functionality in the near future as it works for simple chat applications and any code that uses `RunnableWithMessageHistory` will continue to work as expected.\n",
|
||||
"\n",
|
||||
"Please see [How to migrate to LangGraph Memory](/docs/versions/migrating_memory/) for more details.\n",
|
||||
":::\n",
|
||||
"\n",
|
||||
"## Setup\n",
|
||||
@@ -361,7 +358,7 @@
|
||||
"name": "python",
|
||||
"nbconvert_exporter": "python",
|
||||
"pygments_lexer": "ipython3",
|
||||
"version": "3.11.4"
|
||||
"version": "3.12.3"
|
||||
}
|
||||
},
|
||||
"nbformat": 4,
|
||||
|
||||
@@ -266,9 +266,11 @@
|
||||
"\n",
|
||||
"We first instantiate a chat model that supports [tool calling](/docs/how_to/tool_calling/):\n",
|
||||
"\n",
|
||||
"```{=mdx}\n",
|
||||
"import ChatModelTabs from \"@theme/ChatModelTabs\";\n",
|
||||
"\n",
|
||||
"<ChatModelTabs customVarName=\"llm\" />\n"
|
||||
"<ChatModelTabs customVarName=\"llm\" />\n",
|
||||
"```"
|
||||
]
|
||||
},
|
||||
{
|
||||
|
||||
@@ -39,7 +39,7 @@
|
||||
"| `AIMessageChunk` / `HumanMessageChunk` / ... | Chunk variant of each type of message. |\n",
|
||||
"\n",
|
||||
"\n",
|
||||
":::note\n",
|
||||
"::: {.callout-note}\n",
|
||||
"`ToolMessage` and `FunctionMessage` closely follow OpenAI's `function` and `tool` roles.\n",
|
||||
"\n",
|
||||
"This is a rapidly developing field and as more models add function calling capabilities. Expect that there will be additions to this schema.\n",
|
||||
@@ -145,7 +145,7 @@
|
||||
"| `_astream` | Use to implement async version of `_stream`. | Optional |\n",
|
||||
"\n",
|
||||
"\n",
|
||||
":::tip\n",
|
||||
":::{.callout-tip}\n",
|
||||
"The `_astream` implementation uses `run_in_executor` to launch the sync `_stream` in a separate thread if `_stream` is implemented, otherwise it fallsback to use `_agenerate`.\n",
|
||||
"\n",
|
||||
"You can use this trick if you want to reuse the `_stream` implementation, but if you're able to implement code that's natively async that's a better solution since that code will run with less overhead.\n",
|
||||
|
||||
Some files were not shown because too many files have changed in this diff Show More
Reference in New Issue
Block a user