Utilisez Retellai Create Retell Llm avec Retell AI Tools via Aident Loadout. Vérifiez les entrées, sorties, la configuration, le tarif et le risque avant exécution.
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.
mcpsarrayModel Context Protocol (MCP) integrations for extended capabilities.
modelstringText LLM model selection for generating responses.
statesarrayConversation state definitions with prompts, transitions (edges), and state-specific tools.
kb_configobjectKnowledge base configuration for RAG
s2s_modelstringSpeech-to-speech model selection for real-time voice responses.
begin_messagestringThe first utterance spoken by the agent when the conversation starts.
general_toolsarrayPredefined tools available to the agent, such as end_call or transfer_call functions.
start_speakerObligatoirestringDetermines who initiates the conversation. Either 'user' or 'agent'.
general_promptstringSystem prompt applied across all conversation states. Defines agent behavior and personality.
starting_statestringName of the initial conversation state when using multi-state flows.
model_temperaturenumberControls randomness in model responses. Range: [0, 1]. Default is 0 for deterministic output.
knowledge_base_idsarrayList of knowledge base IDs for RAG (Retrieval-Augmented Generation) capabilities.
dataObligatoireData from the action execution
errorstringError if any occurred during the execution of the action
successfulObligatoirebooleanWhether or not the action execution was successful or not
Connexion par clé API. Niveau de risque 2 sur 5.
Action gratuite
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