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POST
https://api.aisa.one/apis/v1
/
dataforseo
/
ai_optimization
/
chat_gpt
/
llm_responses
/
live
Live ChatGPT LLM Responses
curl --request POST \
  --url https://api.aisa.one/apis/v1/dataforseo/ai_optimization/chat_gpt/llm_responses/live \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '
{
  "user_prompt": "<string>",
  "model_name": "<string>",
  "max_output_tokens": 123,
  "temperature": 123,
  "top_p": 123,
  "web_search": true,
  "force_web_search": true,
  "web_search_country_iso_code": "<string>",
  "web_search_city": "<string>",
  "system_message": "<string>",
  "message_chain": [
    "<string>"
  ],
  "tag": "<string>"
}
'
{
  "version": "<string>",
  "status_code": 123,
  "status_message": "<string>",
  "time": "<string>",
  "cost": 123,
  "tasks_count": 123,
  "tasks_error": 123,
  "tasks": [
    "<string>"
  ],
  "tasks.id": "<string>",
  "tasks.status_code": 123,
  "tasks.status_message": "<string>",
  "tasks.time": "<string>",
  "tasks.cost": 123,
  "tasks.result_count": 123,
  "tasks.path": [
    "<string>"
  ],
  "tasks.data": {},
  "tasks.result": [
    "<string>"
  ],
  "tasks.result.model_name": "<string>",
  "tasks.result.input_tokens": 123,
  "tasks.result.output_tokens": 123,
  "tasks.result.reasoning_tokens": 123,
  "tasks.result.web_search": true,
  "tasks.result.money_spent": 123,
  "tasks.result.datetime": "<string>",
  "tasks.result.items": [
    "<string>"
  ],
  "tasks.result.items.reasoning": {},
  "tasks.result.items.reasoning.type": "<string>",
  "tasks.result.items.reasoning.sections": [
    "<string>"
  ],
  "tasks.result.items.reasoning.sections.type": "<string>",
  "tasks.result.items.reasoning.sections.text": "<string>",
  "tasks.result.items.message": {},
  "tasks.result.items.message.type": "<string>",
  "tasks.result.items.message.sections": [
    "<string>"
  ],
  "tasks.result.items.message.sections.type": "<string>",
  "tasks.result.items.message.sections.text": "<string>",
  "tasks.result.items.message.sections.annotations": [
    "<string>"
  ],
  "tasks.result.items.message.sections.annotations.title": "<string>",
  "tasks.result.items.message.sections.annotations.url": "<string>",
  "tasks.result.fan_out_queries": [
    "<string>"
  ]
}

Documentation Index

Fetch the complete documentation index at: https://aisa.one/docs/llms.txt

Use this file to discover all available pages before exploring further.

Authorizations

​
Authorization
string
header
required

Bearer authentication header of the form Bearer <token>, where <token> is your auth token.

Body

application/json
​
user_prompt
string
required

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
string
required

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
integer

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
number

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
number
​
web_search
boolean

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
boolean

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
string

ISO country code of the location optional field required if web_search_city is specified; 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
string

city name of the location optional field Note: specify web_search_country_iso_code to use this parameter Note #2: not supported in o3-mini, o1-pro, o1 models

​
system_message
string

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
string[]

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?"}]

​
tag
string

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

Response

Successful response

​
version
string

the current version of the API

​
status_code
integer

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_message
string

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

​
time
string

execution time, seconds

​
cost
number

total tasks cost, USD

​
tasks_count
integer

the number of tasks in the tasks array

​
tasks_error
integer

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

​
tasks
string[]

array of tasks

​
tasks.id
string

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

​
tasks.status_code
integer

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

​
tasks.status_message
string

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

​
tasks.time
string

execution time, seconds

​
tasks.cost
number

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

​
tasks.result_count
integer

number of elements in the result array

​
tasks.path
string[]

URL path

​
tasks.data
object

contains the same parameters that you specified in the POST request

​
tasks.result
string[]

array of results

​
tasks.result.model_name
string

name of the AI model used

​
tasks.result.input_tokens
integer

number of tokens in the input total count of tokens processed

​
tasks.result.output_tokens
integer

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

​
tasks.result.reasoning_tokens
integer

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

​
tasks.result.web_search
boolean

indicates if web search was used

​
tasks.result.money_spent
number

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

​
tasks.result.datetime
string

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

​
tasks.result.items
string[]

array of response items contains structured AI response data

​
tasks.result.items.reasoning
object

element in the response

​
tasks.result.items.reasoning.type
string

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

​
tasks.result.items.reasoning.sections
string[]

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

​
tasks.result.items.reasoning.sections.type
string

type of element='summary_text'

​
tasks.result.items.reasoning.sections.text
string

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

​
tasks.result.items.message
object

element in the response

​
tasks.result.items.message.type
string

type of the element = 'message'

​
tasks.result.items.message.sections
string[]

array of content sections contains different parts of the AI response

​
tasks.result.items.message.sections.type
string

type of element='text'

​
tasks.result.items.message.sections.text
string

AI-generated text content

​
tasks.result.items.message.sections.annotations
string[]

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

​
tasks.result.items.message.sections.annotations.title
string

the domain name or title of the quoted source

​
tasks.result.items.message.sections.annotations.url
string

URL of the quoted source

​
tasks.result.fan_out_queries
string[]

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