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Section Navigation

Base packages

  • Core
  • Langchain
  • Text Splitters
  • Community
  • Experimental
    • agents
    • autonomous_agents
    • chat_models
    • comprehend_moderation
    • cpal
    • data_anonymizer
    • fallacy_removal
    • generative_agents
    • graph_transformers
    • llm_bash
    • llm_symbolic_math
    • llms
    • open_clip
    • pal_chain
    • plan_and_execute
      • PlanAndExecute
      • BaseExecutor
      • ChainExecutor
      • BasePlanner
      • LLMPlanner
      • PlanningOutputParser
      • BaseStepContainer
      • ListStepContainer
      • Plan
      • PlanOutputParser
      • Step
      • StepResponse
      • load_agent_executor
      • load_chat_planner
    • prompt_injection_identifier
    • recommenders
    • retrievers
    • rl_chain
    • smart_llm
    • sql
    • tabular_synthetic_data
    • text_splitter
    • tools
    • tot
    • utilities
    • video_captioning

Integrations

  • AI21
  • Airbyte
  • Anthropic
  • AstraDB
  • AWS
  • Azure Dynamic Sessions
  • Chroma
  • Cohere
  • Couchbase
  • Elasticsearch
  • Exa
  • Fireworks
  • Google Community
  • Google GenAI
  • Google VertexAI
  • Groq
  • Huggingface
  • Milvus
  • MistralAI
  • MongoDB
  • Nomic
  • Nvidia Ai Endpoints
  • Ollama
  • OpenAI
  • Pinecone
  • Postgres
  • Prompty
  • Qdrant
  • Robocorp
  • Together
  • Unstructured
  • VoyageAI
  • Weaviate
  • LangChain Python API Reference
  • langchain-experimental: 0.0.64

plan_and_execute#

Plan-and-execute agents are planning tasks with a language model (LLM) and executing them with a separate agent.

Classes

plan_and_execute.agent_executor.PlanAndExecute

Plan and execute a chain of steps.

plan_and_execute.executors.base.BaseExecutor

Base executor.

plan_and_execute.executors.base.ChainExecutor

Chain executor.

plan_and_execute.planners.base.BasePlanner

Base planner.

plan_and_execute.planners.base.LLMPlanner

LLM planner.

plan_and_execute.planners.chat_planner.PlanningOutputParser

Planning output parser.

plan_and_execute.schema.BaseStepContainer

Base step container.

plan_and_execute.schema.ListStepContainer

Container for List of steps.

plan_and_execute.schema.Plan

Plan.

plan_and_execute.schema.PlanOutputParser

Plan output parser.

plan_and_execute.schema.Step

Step.

plan_and_execute.schema.StepResponse

Step response.

Functions

plan_and_execute.executors.agent_executor.load_agent_executor(...)

Load an agent executor.

plan_and_execute.planners.chat_planner.load_chat_planner(llm)

Load a chat planner.

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