資料 API / DataForSEO / AI Optimization
List of Perplexity models for LLM Responses
The Perplexity models available - sonar, sonar-pro, sonar-reasoning-pro - each with model_name, reasoning, web_search_supported and task_post_supported. Note there is no queued variant for Perplexity; the live endpoint is the only one.
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curl -X GET "https://openapi.felo.ai/v1/beta/dataforseo/ai_optimization/perplexity/llm_responses/models" \
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versionstring選填the current version of the API
status_codeinteger選填general status code you can find the full list of the response codes here
status_messagestring選填general informational message you can find the full list of general informational messages here
timestring選填execution time, seconds
costnumber選填total tasks cost, USD
tasks_countinteger選填the number of tasks in the tasks array
tasks_errorinteger選填the number of tasks in the tasks array returned with an error
tasksstring[]選填array of tasks
idstring選填task identifier unique task identifier in our system in the UUID format
status_codeinteger選填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_messagestring選填informational message of the task you can find the full list of general informational messages here
timestring選填execution time, seconds
costnumber選填cost of the task, USD
result_countinteger選填number of elements in the result array
pathstring[]選填URL path
dataobject選填contains the parameters passed in the URL of the GET request
resultstring[]選填array of results
model_namestring選填name of the AI model
reasoningboolean選填indicates if the AI model supports reasoning
web_search_supportedboolean選填web search support for the AI model if true, the web_search parameter can be set with the AI model
task_post_supportedboolean選填indicates if Standard (POST-GET) data retrieval is supported if true, you can use the Standard (POST-GET) data retrieval method with the AI model