Setting ‘LLM Responses Gemini’ Tasks

パラメータ

パス・クエリ・ヘッダーのパラメータはありません。

リクエストボディ

• user_promptstring必須

  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必須

  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; for example, if gemini-1.5-pro is specified, the gemini-1.5-pro-002 will be set as model_name automatically; you can receive the list of available LLM models by making a separate request to the https://api.dataforseo.com/v3/ai_optimization/gemini/llm_responses/models

• max_output_tokensinteger任意

  maximum number of tokens in the AI response optional field minimum value: 1; maximum value: 4096; default value: 2048; Note: if web_search is set to true or the reasoning model is specified in the request, the output token count may exceed the specified max_output_tokens limit Note #2: if use_reasoning is set to true, the minimum value for max_output_tokens is 1024

• temperaturenumber任意

  randomness of the AI response optional field higher values make output more diverse lower values make output more focused minimum value: 0 maximum value: 2 default value: 1.3

• top_pnumber任意

  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_searchboolean任意

  enable web search for current information optional field when enabled, the AI model can access and cite current web information; Note: refer to the Models endpoint for a list of models that support web_search; default value: false; The cost of the parameter can be calculated on the Pricing page

• system_messagestring任意

  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[]任意

  conversation history optional field array of message objects representing previous conversation turns; each object must contain role and message parameters: role string with either user or ai role; message string with message content (max 500 characters); you can specify the maximum of 10 message objects in the array; 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必須

  指定できる値： user · ai

• messagestring必須
• use_reasoningboolean任意

  enable reasoning for the AI model optional field when enabled, the model will perform reasoning before generating a response refer to the Models endpoint for a list of models that support reasoning default value: false Note: if set to true, the minimum value for max_output_tokens is 1024 Note #2: for Gemini Pro models, the use_reasoning will automatically be set to true

• tagstring任意

  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

• postback_urlstring任意

  URL for sending task results optional field once the task is completed, we will send a POST request with its results compressed in the gzip format to the postback_url you specified you can use the ‘$id’ string as a $id variable and ‘$tag’ as urlencoded $tag variable. We will set the necessary values before sending the request. example: http://your-server.com/postbackscript?id=$id http://your-server.com/postbackscript?id=$id&tag=$tag Note: special character in postback_url will be urlencoded; i.a., the # character will be encoded into %23learn more on our Help Center

• pingback_urlstring任意

  notification URL of a completed task optional field when a task is completed we will notify you by GET request sent to the URL you have specified you can use the ‘$id’ string as a $id variable and ‘$tag’ as urlencoded $tag variable. We will set the necessary values before sending the request example: http://your-server.com/pingscript?id=$id http://your-server.com/pingscript?id=$id&tag=$tag Note: special character in pingback_url will be urlencoded; i.a., the # character will be encoded into %23learn more on our Help Center

curl -X POST "https://openapi.felo.ai/v1/beta/dataforseo/ai_optimization/gemini/llm_responses/task_post" \
  -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": false,
  "system_message": "<string>",
  "message_chain": [
    {}
  ]
}'

レスポンス