Skip to main content
Ctrl+K
🦜🔗 LangChain  documentation - Home

Site Navigation

  • Core
  • Langchain
  • Text Splitters
  • 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 docs
  • GitHub
  • X / Twitter

Site Navigation

  • Core
  • Langchain
  • Text Splitters
  • 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 docs
  • GitHub
  • X / Twitter

Section Navigation

  • callbacks
  • chains
    • create_structured_runnable
    • get_output_parser
  • chat_models
  • embeddings
  • evaluators
  • functions_utils
  • gemma
  • llms
  • model_garden
  • utils
  • vectorstores
  • vision_models
  • langchain_google_vertexai 1.0.8

chains#

Functions

chains.create_structured_runnable(function, ...)

Create a runnable sequence that uses OpenAI functions.

chains.get_output_parser(functions)

Get the appropriate function output parser given the user functions.

previous

VertexAICallbackHandler

next

create_structured_runnable

© Copyright 2023, LangChain Inc.