Skip to main content
Ctrl+K
πŸ¦œπŸ”— LangChain  documentation - Home πŸ¦œπŸ”— LangChain  documentation - Home
  • Reference
Ctrl+K
Docs
  • GitHub
  • X / Twitter
Ctrl+K
  • Reference
Docs
  • GitHub
  • X / Twitter

Section Navigation

Base packages

  • Core
  • Langchain
  • Text Splitters
  • Community
    • adapters
    • agent_toolkits
    • agents
    • cache
    • callbacks
    • chains
    • chat_loaders
      • FolderFacebookMessengerChatLoader
      • SingleFileFacebookMessengerChatLoader
      • IMessageChatLoader
      • LangSmithDatasetChatLoader
      • LangSmithRunChatLoader
      • SlackChatLoader
      • TelegramChatLoader
      • WhatsAppChatLoader
      • nanoseconds_from_2001_to_datetime
      • map_ai_messages
      • map_ai_messages_in_session
      • merge_chat_runs
      • merge_chat_runs_in_session
      • GMailLoader
    • chat_message_histories
    • chat_models
    • cross_encoders
    • docstore
    • document_compressors
    • document_loaders
    • document_transformers
    • embeddings
    • example_selectors
    • graph_vectorstores
    • graphs
    • indexes
    • llms
    • memory
    • output_parsers
    • query_constructors
    • retrievers
    • storage
    • tools
    • utilities
    • utils
    • vectorstores
  • Experimental

Integrations

  • AI21
  • Anthropic
  • AstraDB
  • AWS
  • Azure Ai
  • Azure Dynamic Sessions
  • Cerebras
  • Chroma
  • Cohere
  • Deepseek
  • Elasticsearch
  • Exa
  • Fireworks
  • Google Community
  • Google GenAI
  • Google VertexAI
  • Groq
  • Huggingface
  • IBM
  • Milvus
  • MistralAI
  • MongoDB
  • Neo4J
  • Nomic
  • Nvidia Ai Endpoints
  • Ollama
  • OpenAI
  • Perplexity
  • Pinecone
  • Postgres
  • Prompty
  • Qdrant
  • Redis
  • Sema4
  • Snowflake
  • Sqlserver
  • Standard Tests
  • Tavily
  • Together
  • Unstructured
  • Upstage
  • Weaviate
  • XAI
  • LangChain Python API Reference
  • langchain-community: 0.3.24
  • chat_loaders
  • map_ai_messages

map_ai_messages#

langchain_community.chat_loaders.utils.map_ai_messages(
chat_sessions: Iterable[ChatSession],
sender: str,
) β†’ Iterator[ChatSession][source]#

Convert messages from the specified β€˜sender’ to AI messages.

This is useful for fine-tuning the AI to adapt to your voice.

Parameters:
  • chat_sessions (Iterable[ChatSession])

  • sender (str)

Return type:

Iterator[ChatSession]

Examples using map_ai_messages

  • Discord

  • Facebook Messenger

  • GMail

  • Slack

  • Telegram

  • WeChat

  • WhatsApp

  • iMessage

On this page
  • map_ai_messages()

Β© Copyright 2025, LangChain Inc.