Live Perplexity LLM Responses

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• user_promptstring必填

  prompt for the AI model required field the question or task you want to send to the AI model; you can specify up to 500 characters in the user_prompt field

• model_namestring必填

  name of the AI model required field model_nameconsists of the actual model name and version name; if the basic model name is specified, its latest version will be set by default; you can receive the list of available LLM models by making a separate request to the following endpoint: https://api.dataforseo.com/v3/ai_optimization/perplexity/llm_responses/models

• max_output_tokensinteger選填

  maximum number of tokens in the AI response optional field minimum value: 1 maximum value: 4096; default value: 2048; Note: if the reasoning model is specified in the request, the output token count may exceed the specified max_output_tokens limit

• temperaturenumber選填

  randomness of the AI response optional field higher values make output more diverse lower values make output more focused minimum value: 0 maximum value: 1.9 default value: 0.77

• top_pnumber選填

  diversity of the AI response optional field controls diversity of the response by limiting token selection minimum value: 0 maximum value: 1 default value: 0.9

• web_search_country_iso_codestring選填

  country code for web search localization optional field specify the country ISO code to get localized web search results Note: available only for Perplexity Sonar models example: US

• system_messagestring選填

  instructions for the AI behavior optional field defines the AI's role, tone, or specific behavior you can specify up to 500 characters in the system_message field

• message_chainobject[]選填

  conversation history optional field array of message objects representing previous conversation turns; each object must contain: role string with either user or ai role; message string with message content (max 500 characters); you can specify maximum of 10 message objects in the array; Note: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai); example: "message_chain": [{"role":"user","message":"Hello, what’s up?"},{"role":"ai","message":"Hello! I’m doing well, thank you. How can I assist you today?"}]

• rolestring必填

  允許值： user · ai

• messagestring必填
• tagstring選填

  user-defined task identifier optional field the character limit is 255 you can use this parameter to identify the task and match it with the result you will find the specified tag value in the data object of the response

curl -X POST "https://openapi.felo.ai/v1/beta/dataforseo/ai_optimization/perplexity/llm_responses/live" \
  -H "Authorization: Bearer $FELO_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
  "user_prompt": "<string>",
  "model_name": "<string>",
  "max_output_tokens": 0,
  "temperature": 0,
  "top_p": 0,
  "web_search_country_iso_code": "<string>",
  "system_message": "<string>",
  "message_chain": [
    {}
  ]
}'

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