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Data API / DataForSEO / AI Optimization

Live Claude LLM Responses

Sends a user_prompt to a Claude model and returns its reply, synchronously. model_name must come from get_dataforseo_ai_claude_llm_responses_models - names look like claude-sonnet-5, and a plausible-looking guess is rejected. Returns model_name, input_tokens, output_tokens, reasoning_tokens, web_search, money_spent, datetime, items and fan_out_queries. Read money_spent on the response to see what a prompt actually cost. Wrapped in DataForSEO's envelope: data in tasks[0].result, outcome in tasks[0].status_code - a rejected request still returns HTTP 200.

Parameters

No path, query, or header parameters.

Request body

  • user_promptstringRequired

    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_namestringRequired

    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 claude-opus-4-0 is specified, the claude-opus-4-20250514 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/claude/llm_responses/models

  • max_output_tokensintegerOptional

    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 1025

  • temperaturenumberOptional

    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 default value: 0.7Note: temperature cannot be used together with top_p in the same request

  • top_pnumberOptional

    diversity of the AI response optional field controls diversity of the response by limiting token selection; minimum value: 0 maximum value: 1 default value: nullNote: top_p cannot be used together with temperature in the same request

  • web_searchbooleanOptional

    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

  • force_web_searchbooleanOptional

    force AI agent to use web search optional field to enable this parameter, web_search must also be enabled; when enabled, the AI model is forced to access and cite current web information; default value: false; Note: even if the parameter is set to true, there is no guarantee web sources will be cited in the response

  • web_search_country_iso_codestringOptional

    ISO country code of the location optional field possible values: 'AR','AT','AU','BE','BR','CA','CH','CL','CN','DE','DK','ES','FI','FR','GB','HK','ID','IN','IT','JP','KR','MX','MY','NL','NO','NZ','PH','PL','PT','RU','SA','SE','TR','TW','US','ZA'

  • web_search_citystringOptional

    city name of the location optional field Note: specify web_search_country_iso_code to use this parameter

  • system_messagestringOptional

    instructions for the AI behaviour 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[]Optional

    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?"}]

  • rolestringRequired

    Allowed values: user · ai

  • messagestringRequired
  • use_reasoningbooleanOptional

    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 1025 Note #2: if set to true, force_web_search must be set to false Note #3: if set to true, the temperature and top_p cannot be used

  • tagstringOptional

    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

Example request

curl -X POST "https://openapi.felo.ai/v1/beta/dataforseo/ai_optimization/claude/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": false,
  "force_web_search": false,
  "web_search_country_iso_code": "<string>"
}'

Response

Response fields

  • versionstringOptional

    the current version of the API

  • status_codeintegerOptional

    general status code you can find the full list of the response codes here Note: we strongly recommend designing a necessary system for handling related exceptional or error conditions

  • status_messagestringOptional

    general informational message you can find the full list of general informational messages here

  • timestringOptional

    execution time, seconds

  • costnumberOptional

    total tasks cost, USD

  • tasks_countintegerOptional

    the number of tasks in the tasks array

  • tasks_errorintegerOptional

    the number of tasks in the tasks array returned with an error

  • tasksstring[]Optional

    array of tasks

  • idstringOptional

    task identifier unique task identifier in our system in the UUID format

  • status_codeintegerOptional

    status code of the task generated by DataForSEO; can be within the following range: 10000-60000 you can find the full list of the response codes here

  • status_messagestringOptional

    informational message of the task you can find the full list of general informational messages here

  • timestringOptional

    execution time, seconds

  • costnumberOptional

    cost of the task, USD includes the base task price plus the money_spent value

  • result_countintegerOptional

    number of elements in the result array

  • pathstring[]Optional

    URL path

  • dataobjectOptional

    contains the same parameters that you specified in the POST request

  • resultstring[]Optional

    array of results

  • model_namestringOptional

    name of the AI model used

  • input_tokensintegerOptional

    number of tokens in the input total count of tokens processed

  • output_tokensintegerOptional

    number of tokens in the output total count of tokens generated in the AI response

  • reasoning_tokensintegerOptional

    number of reasoning tokens total count of tokens used to generate reasoning content

  • web_searchbooleanOptional

    indicates if web search was used

  • money_spentnumberOptional

    cost of AI tokens, USD the price charged by the third-party AI model provider for according to its Pricing

  • datetimestringOptional

    date and time when the result was received in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00” example: 2019-11-15 12:57:46 +00:00

  • itemsstring[]Optional

    array of response items contains structured AI response data

  • reasoningobjectOptional

    element in the response

  • typestringOptional

    type of the element = 'reasoning' Note: this element is supported only in reasoning models and is not guaranteed to be returned

  • sectionsstring[]Optional

    reasoning chain sections array of objects containing the reasoning chain sections generated by the LLM

  • typestringOptional

    type of element='summary_text'

  • textstringOptional

    text of the reasoning chain section text of the reasoning chain section summarizing the model's thought process

  • messageobjectOptional

    element in the response

  • typestringOptional

    type of the element = 'message'

  • sectionsstring[]Optional

    array of content sections contains different parts of the AI response

  • typestringOptional

    type of element='text'

  • textstringOptional

    AI-generated text content

  • annotationsstring[]Optional

    array of references used to generate the response equals null if the web_search parameter is not set to true Note: annotations may return empty even when web_search is true, as the AI will attempt to retrieve web information but may not find relevant results

  • titlestringOptional

    the domain name or title of the quoted source

  • urlstringOptional

    URL of the quoted source

  • fan_out_queriesstring[]Optional

    array of fan-out queries contains related search queries derived from the main query to provide a more comprehensive response