# Live ChatGPT LLM Responses **API:** Data API **Endpoint:** `POST /v1/beta/dataforseo/ai_optimization/chat_gpt/llm_responses/live` **Tags:** DataForSEO Sends a `user_prompt` to a ChatGPT model and returns its reply, synchronously. `model_name` picks the model - see `get_dataforseo_ai_chat_gpt_llm_responses_models`, and an unlisted name is rejected outright. `max_output_tokens`, `temperature` and `top_p` behave as they do on the vendor's own API, and `web_search` or `force_web_search` let it browse. 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. ⚠️ This is a general LLM call routed through a data provider, not an SEO measurement. If you want to know what ChatGPT tells users about a brand, `post_dataforseo_ai_chat_gpt_llm_scraper_live` reproduces the consumer experience instead. ### Pricing reference - Metering: Reported response cost. - Reference request estimate: USD 0.0695. - Reference customer multiplier: 1.0. Do not apply it again to a settled customer amount. Reference metadata only, not an account quote, a guaranteed price or a spending cap. Resource credits are not Felo credits. Final charges follow Felo billing records. ## Base URL - `https://openapi.felo.ai` ## Authentication - `FeloBearerAuth` (http bearer, bearer format Felo API Key) - `FeloApiKey` (apiKey in header `X-API-Key`) ## Request body Required: **no** ### application/json Schema: ```json { "type": "array", "items": { "type": [ "object", "null" ], "oneOf": [ { "type": "object", "properties": { "user_prompt": { "type": "string", "description": "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_name": { "type": "string", "description": "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 gpt-4.1 is specified, the gpt-4.1-2025-04-14 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/chat_gpt/llm_responses/models" }, "max_output_tokens": { "type": [ "integer", "null" ], "description": "maximum number of tokens in the AI response
optional field
minimum value for reasoning models (e.g., reasoning is true in the Models endpoint): 1024;
minimum value for non-reasoning models: 16;
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" }, "temperature": { "type": [ "number", "null" ], "description": "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: 0.94
Note: not supported in reasoning models" }, "top_p": { "type": [ "number", "null" ], "description": "diversity of the AI response
optional field
controls diversity of the response by limiting token selection;
minimum value: 0
maximum value: 1
default value: 0.92

Note: top_p cannot be used together with temperature in the same request" }, "web_search": { "type": [ "boolean", "null" ], "description": "enable web search
optional field
when enabled, the AI model can access and cite current web information;
default value: false;
Note: refer to the Models endpoint for a list of models that support web_search;" }, "force_web_search": { "type": [ "boolean", "null" ], "description": "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
Note #2: not supported in reasoning models" }, "web_search_country_iso_code": { "type": [ "string", "null" ], "description": "ISO country code of the location
optional field
to enable this parameter, web_search must also be enabled;
when enabled, the AI model will search the web from the country you specify;
Note: not supported in o3-mini, o1-pro, o1 models" }, "web_search_city": { "type": [ "string", "null" ], "description": "city name of the location
optional field
Note: not supported in o3-mini, o1-pro, o1 models" }, "system_message": { "type": [ "string", "null" ], "description": "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_chain": { "type": [ "array", "null" ], "items": { "type": [ "object", "null" ], "oneOf": [ { "type": "object", "properties": { "role": { "type": [ "string", "null" ], "description": "role of the user from whom the message originates" }, "message": { "type": [ "string", "null" ], "description": "message text" } } } ] }, "description": "conversation history\noptional field\narray of message objects representing previous conversation turns;\neach object must contain:\nrole string with either user or ai role;\nmessage string with message content (max 500 characters);\nyou can specify maximum of 10 message objects in the array;\nNote: for Perplexity models, messages must strictly alternate between user and AI roles (user → ai);\nexample:\n\"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?\"}]" }, "tag": { "type": [ "string", "null" ], "description": "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": [ { "system_message": "communicate as if we are in a business meeting", "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? Are there any specific topics or projects you’d like to discuss in our meeting?" } ], "max_output_tokens": 200, "temperature": 0.3, "top_p": 0.5, "model_name": "gpt-4.1-mini", "web_search": true, "web_search_country_iso_code": "FR", "web_search_city": "Paris", "user_prompt": "provide information on how relevant the amusement park business is in France now" } ] } ] }, "example": [ { "system_message": "communicate as if we are in a business meeting", "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? Are there any specific topics or projects you’d like to discuss in our meeting?" } ], "max_output_tokens": 200, "temperature": 0.3, "top_p": 0.5, "model_name": "gpt-4.1-mini", "web_search": true, "web_search_country_iso_code": "FR", "web_search_city": "Paris", "user_prompt": "provide information on how relevant the amusement park business is in France now" } ] } ``` ## Responses ### 200 — Successful operation Headers: - `X-Request-Id` (string) — Request identifier to include when contacting Felo support. **application/json** Schema: object | null ```json { "type": [ "object", "null" ], "oneOf": [ { "$ref": "#/components/schemas/Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveResponseInfo" } ] } ``` ### 400 — The request could not be processed. Check the request parameters. ### 401 — A valid Felo API key is required. ### 402 — The request cannot proceed because a billing requirement is not met. ### 403 — The account is not permitted to perform this operation. ### 429 — A request or spending limit has been reached. ### 502 — The service could not complete the request. ### 503 — The API or billing service is temporarily unavailable. ### 504 — The service timed out while processing the request. ### default — Error response; upstream passthrough responses may use provider formats **application/json** Schema: ```json {} ``` ## Schema definitions ### Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveResponseInfo `#/components/schemas/Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveResponseInfo` ```json { "type": "object", "allOf": [ { "$ref": "#/components/schemas/Response36Afe1097B20_BaseResponseInfo" }, { "type": "object", "properties": { "tasks": { "type": [ "array", "null" ], "items": { "type": [ "object", "null" ], "oneOf": [ { "$ref": "#/components/schemas/Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveTaskInfo" } ] }, "description": "array of tasks" } } } ] } ``` ### Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveResultInfo `#/components/schemas/Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveResultInfo` ```json { "type": "object", "properties": { "model_name": { "type": [ "string", "null" ], "description": "name of the AI model used" }, "input_tokens": { "type": [ "integer", "null" ], "description": "number of tokens in the input
total count of tokens processed" }, "output_tokens": { "type": [ "integer", "null" ], "description": "number of tokens in the output
total count of tokens generated in the AI response" }, "reasoning_tokens": { "type": [ "integer", "null" ], "description": "number of reasoning tokens
total count of tokens used to generate reasoning content" }, "web_search": { "type": [ "boolean", "null" ], "description": "indicates if web search was used" }, "money_spent": { "type": [ "number", "null" ], "description": "cost of AI tokens, USD
the price charged by the third-party AI model provider for according to its Pricing" }, "datetime": { "type": [ "string", "null" ], "description": "date and time when the result was received
in the UTC format: “yyyy-mm-dd hh-mm-ss +00:00”
example:
2019-11-15 12:57:46 +00:00" }, "items": { "type": [ "array", "null" ], "items": { "type": [ "object", "null" ], "oneOf": [ { "$ref": "#/components/schemas/Response36Afe1097B20_BaseAiOptimizationLlmResponseElementItem" } ] }, "description": "array of response items
contains structured AI response data" }, "fan_out_queries": { "type": [ "array", "null" ], "items": { "type": [ "string", "null" ] }, "description": "array of fan-out queries
contains related search queries derived from the main query to provide a more comprehensive response" } } } ``` ### Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveTaskInfo `#/components/schemas/Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveTaskInfo` ```json { "type": "object", "allOf": [ { "$ref": "#/components/schemas/Response36Afe1097B20_BaseResponseTaskInfo" }, { "type": "object", "properties": { "result": { "type": [ "array", "null" ], "items": { "type": [ "object", "null" ], "oneOf": [ { "$ref": "#/components/schemas/Response36Afe1097B20_AiOptimizationChatGptLlmResponsesLiveResultInfo" } ] }, "description": "array of results" } } } ] } ``` ### Response36Afe1097B20_BaseAiOptimizationLlmResponseElementItem `#/components/schemas/Response36Afe1097B20_BaseAiOptimizationLlmResponseElementItem` ```json { "type": "object", "properties": { "type": { "type": [ "string", "null" ], "description": "type of element" } }, "additionalProperties": false, "discriminator": { "propertyName": "type", "mapping": { "reasoning": "#/components/schemas/Response36Afe1097B20_ReasoningAiOptimizationLlmResponseElementItem", "message": "#/components/schemas/Response36Afe1097B20_MessageAiOptimizationLlmResponseElementItem" } } } ``` ### Response36Afe1097B20_BaseResponseInfo `#/components/schemas/Response36Afe1097B20_BaseResponseInfo` ```json { "properties": { "version": { "type": [ "string", "null" ], "description": "the current version of the API" }, "status_code": { "type": [ "integer", "null" ], "description": "general status code\nyou can find the full list of the response codes here" }, "status_message": { "type": [ "string", "null" ], "description": "general informational message\nyou can find the full list of general informational messages here" }, "time": { "type": [ "string", "null" ], "description": "total execution time, seconds" }, "cost": { "type": [ "number", "null" ], "description": "total tasks cost, USD", "format": "double" }, "tasks_count": { "type": [ "integer", "null" ], "description": "the number of tasks in the tasks array", "format": "int64" }, "tasks_error": { "type": [ "integer", "null" ], "description": "the number of tasks in the tasks array returned with an error", "format": "int64" } } } ``` ### Response36Afe1097B20_BaseResponseTaskInfo `#/components/schemas/Response36Afe1097B20_BaseResponseTaskInfo` ```json { "properties": { "id": { "type": [ "string", "null" ], "description": "task identifier\nunique task identifier in our system in the UUID format" }, "status_code": { "type": [ "integer", "null" ], "description": "status code of the task\ngenerated by DataForSEO, can be within the following range: 10000-60000\nyou can find the full list of the response codes here" }, "status_message": { "type": [ "string", "null" ], "description": "informational message of the task\nyou can find the full list of general informational messages here" }, "time": { "type": [ "string", "null" ], "description": "execution time, seconds" }, "cost": { "type": [ "number", "null" ], "description": "total tasks cost, USD", "format": "double" }, "result_count": { "type": [ "integer", "null" ], "description": "number of elements in the result array", "format": "int64" }, "path": { "type": [ "array", "null" ], "items": { "type": [ "string", "null" ] }, "description": "URL path" }, "data": { "type": [ "object", "null" ], "additionalProperties": { "type": [ "object", "null" ] }, "description": "contains the same parameters that you specified in the POST request" } } } ```