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Retell AI Tools

Retellai Create Retell Llm

Create a new Retell LLM Response Engine that can be attached to an agent. Use when you need to configure a new LLM-powered response system with custom prompts, tools, and conversation flows.

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Use Retellai Create Retell Llm

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Inputs

  • mcpsarray
    Model Context Protocol (MCP) integrations for extended capabilities.
  • modelstring
    Text LLM model selection for generating responses.
  • statesarray
    Conversation state definitions with prompts, transitions (edges), and state-specific tools.
  • kb_configobject
    Knowledge base configuration for RAG
  • s2s_modelstring
    Speech-to-speech model selection for real-time voice responses.
  • begin_messagestring
    The first utterance spoken by the agent when the conversation starts.
  • general_toolsarray
    Predefined tools available to the agent, such as end_call or transfer_call functions.
  • start_speakerstring
    Required
    Determines who initiates the conversation. Either 'user' or 'agent'.
  • general_promptstring
    System prompt applied across all conversation states. Defines agent behavior and personality.
  • starting_statestring
    Name of the initial conversation state when using multi-state flows.
  • model_temperaturenumber
    Controls randomness in model responses. Range: [0, 1]. Default is 0 for deterministic output.
  • knowledge_base_idsarray
    List of knowledge base IDs for RAG (Retrieval-Augmented Generation) capabilities.

Observable output

  • data
    Required
    Data from the action execution
  • errorstring
    Error if any occurred during the execution of the action
  • successfulboolean
    Required
    Whether or not the action execution was successful or not

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