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🦜🔗 LangChain 0.0.149

Getting Started

  • Quickstart Guide

Modules

  • Models
    • LLMs
      • Getting Started
      • Generic Functionality
        • How to use the async API for LLMs
        • How to write a custom LLM wrapper
        • How (and why) to use the fake LLM
        • How to cache LLM calls
        • How to serialize LLM classes
        • How to stream LLM and Chat Model responses
        • How to track token usage
      • Integrations
        • AI21
        • Aleph Alpha
        • Anthropic
        • Azure OpenAI
        • Banana
        • CerebriumAI
        • Cohere
        • DeepInfra
        • ForefrontAI
        • GooseAI
        • GPT4All
        • Hugging Face Hub
        • Hugging Face Local Pipelines
        • Llama-cpp
        • Manifest
        • Modal
        • NLP Cloud
        • OpenAI
        • Petals
        • PredictionGuard
        • PromptLayer OpenAI
        • Replicate
        • Runhouse
        • SageMakerEndpoint
        • StochasticAI
        • Writer
      • Reference
    • Chat Models
      • Getting Started
      • How-To Guides
        • How to use few shot examples
        • How to stream responses
      • Integrations
        • Azure
        • OpenAI
        • PromptLayer ChatOpenAI
    • Text Embedding Models
      • Aleph Alpha
      • AzureOpenAI
      • Cohere
      • Fake Embeddings
      • Hugging Face Hub
      • InstructEmbeddings
      • Jina
      • Llama-cpp
      • OpenAI
      • SageMaker Endpoint Embeddings
      • Self Hosted Embeddings
      • Sentence Transformers Embeddings
      • TensorflowHub
  • Prompts
    • Prompt Templates
      • Getting Started
      • How-To Guides
        • How to create a custom prompt template
        • How to create a prompt template that uses few shot examples
        • How to work with partial Prompt Templates
        • How to serialize prompts
      • Reference
        • PromptTemplates
        • Example Selector
        • Output Parsers
    • Chat Prompt Template
    • Example Selectors
      • How to create a custom example selector
      • LengthBased ExampleSelector
      • Maximal Marginal Relevance ExampleSelector
      • NGram Overlap ExampleSelector
      • Similarity ExampleSelector
    • Output Parsers
      • Output Parsers
      • CommaSeparatedListOutputParser
      • OutputFixingParser
      • PydanticOutputParser
      • RetryOutputParser
      • Structured Output Parser
  • Indexes
    • Getting Started
    • Document Loaders
      • CoNLL-U
      • Airbyte JSON
      • Apify Dataset
      • AZLyrics
      • Azure Blob Storage Container
      • Azure Blob Storage File
      • BigQuery Loader
      • Bilibili
      • Blackboard
      • Blockchain Document Loader
      • ChatGPT Data Loader
      • College Confidential
      • Confluence
      • Copy Paste
      • CSV Loader
      • DataFrame Loader
      • Diffbot
      • Directory Loader
      • Discord
      • DuckDB Loader
      • Email
      • EPubs
      • EverNote
      • Facebook Chat
      • Figma
      • GCS Directory
      • GCS File Storage
      • Git
      • GitBook
      • Google Drive
      • Gutenberg
      • Hacker News
      • HTML
      • HuggingFace dataset loader
      • iFixit
      • Images
      • Image captions
      • IMSDb
      • Markdown
      • Notebook
      • Notion
      • Notion DB Loader
      • Obsidian
      • PDF
      • PowerPoint
      • ReadTheDocs Documentation
      • Roam
      • s3 Directory
      • s3 File
      • Sitemap Loader
      • Slack (Local Exported Zipfile)
      • Subtitle Files
      • Telegram
      • Twitter
      • Unstructured File Loader
      • URL
      • Web Base
      • WhatsApp Chat
      • Word Documents
      • YouTube
    • Text Splitters
      • Getting Started
      • Character Text Splitter
      • Hugging Face Length Function
      • Latex Text Splitter
      • Markdown Text Splitter
      • NLTK Text Splitter
      • Python Code Text Splitter
      • RecursiveCharacterTextSplitter
      • Spacy Text Splitter
      • tiktoken (OpenAI) Length Function
      • TiktokenText Splitter
    • Vectorstores
      • Getting Started
      • AnalyticDB
      • Annoy
      • AtlasDB
      • Chroma
      • Deep Lake
      • ElasticSearch
      • FAISS
      • Milvus
      • MyScale
      • OpenSearch
      • PGVector
      • Pinecone
      • Qdrant
      • Redis
      • SupabaseVectorStore
      • Weaviate
      • Zilliz
    • Retrievers
      • ChatGPT Plugin Retriever
      • Contextual Compression Retriever
      • Databerry
      • ElasticSearch BM25
      • Metal
      • Pinecone Hybrid Search
      • SVM Retriever
      • TF-IDF Retriever
      • Time Weighted VectorStore Retriever
      • VectorStore Retriever
      • Weaviate Hybrid Search
  • Memory
    • Getting Started
    • How-To Guides
      • ConversationBufferMemory
      • ConversationBufferWindowMemory
      • Entity Memory
      • Conversation Knowledge Graph Memory
      • ConversationSummaryMemory
      • ConversationSummaryBufferMemory
      • ConversationTokenBufferMemory
      • VectorStore-Backed Memory
      • How to add Memory to an LLMChain
      • How to add memory to a Multi-Input Chain
      • How to add Memory to an Agent
      • Adding Message Memory backed by a database to an Agent
      • How to customize conversational memory
      • How to create a custom Memory class
      • Motörhead Memory
      • How to use multiple memory classes in the same chain
      • Postgres Chat Message History
      • Redis Chat Message History
  • Chains
    • Getting Started
    • How-To Guides
      • Async API for Chain
      • Loading from LangChainHub
      • LLM Chain
      • Sequential Chains
      • Serialization
      • Transformation Chain
      • Analyze Document
      • Chat Over Documents with Chat History
      • Graph QA
      • Hypothetical Document Embeddings
      • Question Answering with Sources
      • Question Answering
      • Summarization
      • Retrieval Question/Answering
      • Retrieval Question Answering with Sources
      • Vector DB Text Generation
      • API Chains
      • Self-Critique Chain with Constitutional AI
      • BashChain
      • LLMCheckerChain
      • LLM Math
      • LLMRequestsChain
      • LLMSummarizationCheckerChain
      • Moderation
      • OpenAPI Chain
      • PAL
      • SQL Chain example
    • Reference
  • Agents
    • Getting Started
    • Tools
      • Getting Started
      • Defining Custom Tools
      • Multi-Input Tools
      • Tool Input Schema
      • Apify
      • Arxiv API
      • Bash
      • Bing Search
      • ChatGPT Plugins
      • DuckDuckGo Search
      • Google Places
      • Google Search
      • Google Serper API
      • Gradio Tools
      • Human as a tool
      • IFTTT WebHooks
      • OpenWeatherMap API
      • Python REPL
      • Requests
      • Search Tools
      • SearxNG Search API
      • SerpAPI
      • Wikipedia API
      • Wolfram Alpha
      • Zapier Natural Language Actions API
    • Agents
      • Agent Types
      • Custom Agent
      • Custom LLM Agent
      • Custom LLM Agent (with a ChatModel)
      • Custom MRKL Agent
      • Custom MultiAction Agent
      • Custom Agent with Tool Retrieval
      • Conversation Agent (for Chat Models)
      • Conversation Agent
      • MRKL
      • MRKL Chat
      • ReAct
      • Self Ask With Search
    • Toolkits
      • CSV Agent
      • Jira
      • JSON Agent
      • OpenAPI agents
      • Natural Language APIs
      • Pandas Dataframe Agent
      • PowerBI Dataset Agent
      • Python Agent
      • SQL Database Agent
      • Vectorstore Agent
    • Agent Executors
      • How to combine agents and vectorstores
      • How to use the async API for Agents
      • How to create ChatGPT Clone
      • How to access intermediate steps
      • How to cap the max number of iterations
      • How to use a timeout for the agent
      • How to add SharedMemory to an Agent and its Tools

Use Cases

  • Personal Assistants (Agents)
  • Autonomous Agents
  • Agent Simulations
  • Question Answering over Docs
  • Chatbots
  • Querying Tabular Data
  • Code Understanding
  • Interacting with APIs
  • Summarization
  • Extraction
  • Evaluation
    • Agent Benchmarking: Search + Calculator
    • Agent VectorDB Question Answering Benchmarking
    • Benchmarking Template
    • Data Augmented Question Answering
    • Using Hugging Face Datasets
    • LLM Math
    • Evaluating an OpenAPI Chain
    • Question Answering Benchmarking: Paul Graham Essay
    • Question Answering Benchmarking: State of the Union Address
    • QA Generation
    • Question Answering
    • SQL Question Answering Benchmarking: Chinook

Reference

  • Installation
  • Integrations
  • API References
    • Models
      • LLMs
      • Chat Models
      • Embeddings
    • Prompts
      • PromptTemplates
      • Example Selector
      • Output Parsers
    • Indexes
      • Docstore
      • Text Splitter
      • Document Loaders
      • Vector Stores
      • Retrievers
      • Document Compressors
      • Document Transformers
    • Memory
    • Chains
    • Agents
      • Agents
      • Tools
      • Agent Toolkits
    • Utilities
    • Experimental Modules

Ecosystem

  • LangChain Ecosystem
    • AI21 Labs
    • Aim
    • AnalyticDB
    • Apify
    • AtlasDB
    • Banana
    • CerebriumAI
    • Chroma
    • ClearML Integration
    • Cohere
    • Comet
    • Databerry
    • DeepInfra
    • Deep Lake
    • ForefrontAI
    • Google Search Wrapper
    • Google Serper Wrapper
    • GooseAI
    • GPT4All
    • Graphsignal
    • Hazy Research
    • Helicone
    • Hugging Face
    • Jina
    • Llama.cpp
    • Milvus
    • Modal
    • MyScale
    • NLPCloud
    • OpenAI
    • OpenSearch
    • Petals
    • PGVector
    • Pinecone
    • Prediction Guard
    • PromptLayer
    • Qdrant
    • Replicate
    • Runhouse
    • RWKV-4
    • SearxNG Search API
    • SerpAPI
    • StochasticAI
    • Unstructured
    • Weights & Biases
    • Weaviate
    • Wolfram Alpha Wrapper
    • Writer
    • Yeager.ai
    • Zilliz

Additional Resources

  • LangChainHub
  • Glossary
  • LangChain Gallery
  • Deployments
  • Tracing
  • Discord
  • YouTube
  • Production Support
  • .rst

Agent Executors

Agent Executors#

Note

Conceptual Guide

Agent executors take an agent and tools and use the agent to decide which tools to call and in what order.

In this part of the documentation we cover other related functionality to agent executors

  • How to combine agents and vectorstores
  • How to use the async API for Agents
  • How to create ChatGPT Clone
  • How to access intermediate steps
  • How to cap the max number of iterations
  • How to use a timeout for the agent
  • How to add SharedMemory to an Agent and its Tools

previous

Vectorstore Agent

next

How to combine agents and vectorstores

By Harrison Chase

© Copyright 2023, Harrison Chase.

Last updated on Jun 27, 2023.