Live Claude LLM Responses
Live Claude LLM Responses endpoint allows you to retrieve structured responses from a specific Claude model, based on the input parameters.
Live Claude LLM Responses endpoint allows you to retrieve structured responses from a specific Claude model, based on the input parameters.
Instead of ‘login’ and ‘password’ use your credentials from https://app.dataforseo.com/api-access
<?php // You can download this file from here https://cdn.dataforseo.com/v3/examples/php/php_RestClient.zip require('RestClient.php'); $api_url = 'https://api.dataforseo.com/'; try { // Instead of 'login' and 'password' use your credentials from https://app.dataforseo.com/api-access $client = new RestClient($api_url, null, 'login', 'password'); } catch (RestClientException $e) { echo "n"; print "HTTP code: {$e->getHttpCode()}n"; print "Error code: {$e->getCode()}n"; print "Message: {$e->getMessage()}n"; print $e->getTraceAsString(); echo "n"; exit(); } $post_array = array(); // You can set only one task at a time $post_array[] = array( "system_message" => "communicate as if we are in a business meeting", "message_chain" => [ [ "role" => "user", "message" => "Hello, what's up?" ], [ "role" => "ai", "message" => "Hello! I’m doing well, thank you. How can I assist you today? Are there any specific topics or projects you’d like to discuss in our meeting?" ] ], "max_output_tokens" => 200, "model_name" => "claude-opus-4-0", "temperature" => 0.3, "top_p" => 0.5, "web_search" => true, "web_search_country_iso_code" => "FR", "user_prompt" => "provide information on how relevant the amusement park business is in France now" ); if (count($post_array) > 0) { try { // POST /v3/serp/google/ai_mode/live/advanced // in addition to 'google' and 'ai_mode' you can also set other search engine and type parameters // the full list of possible parameters is available in documentation $result = $client->post('/v3/ai_optimization/claude/llm_responses/live', $post_array); print_r($result); // do something with post result } catch (RestClientException $e) { echo "n"; print "HTTP code: {$e->getHttpCode()}n"; print "Error code: {$e->getCode()}n"; print "Message: {$e->getMessage()}n"; print $e->getTraceAsString(); echo "n"; } $client = null; ?>
The above command returns JSON structured like this:
{ "version": "0.1.20250526", "status_code": 20000, "status_message": "Ok.", "time": "37.1234 sec.", "cost": 0.49405, "tasks_count": 1, "tasks_error": 0, "tasks": [ { "id": "07181737-1535-0612-0000-ef6b334c1466", "status_code": 20000, "status_message": "Ok.", "time": "37.0584 sec.", "cost": 0.49405, "result_count": 1, "path": [ "v3", "ai_optimization", "claude", "llm_responses", "live" ], "data": { "api": "ai_optimization", "function": "llm_responses", "se": "claude", "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?" } ], "temperature": 0.3, "top_p": 0.5, "web_search_country_iso_code": "FR", "model_name": "claude-opus-4-0", "web_search": true, "user_prompt": "provide information on how relevant the amusement park business is in France now" }, "result": [ { "model_name": "claude-opus-4-20250514", "input_tokens": 27285, "output_tokens": 989, "web_search": true, "money_spent": 0.49345, "datetime": "2025-07-18 17:37:59 +00:00", "items": [ { "type": "message", "sections": [ { "type": "text", "text": "I'll search for current information about the amusement park business in France.", "annotations": null } ] }, { "type": "message", "sections": [ { "type": "text", "text": "Let me search for more specific information about the French amusement park market and recent trends.", "annotations": null } ] }, { "type": "message", "sections": [ { "type": "text", "text": "Based on my research, I can provide you with comprehensive information about the relevance of the amusement park business in France currently:\n\n## Current State of the French Amusement Park Industry\n\nThe amusement park business in France remains highly relevant and continues to show strong performance in 2024-2025. Here are the key insights:\n\n### Market Performance and Visitor Numbers\n\n", "annotations": null }, { "type": "text", "text": "The 2024 season was marked by unfavorable weather conditions (very humid), the impact of the Paris Olympics for some parks, and the political context (legislative elections). Despite these challenges, new records were achieved!", "annotations": [ { "title": "Classement Parcs d'attractions France ❤️ Top 15 Visiteurs 2024", "url": "https://www.parcs-france.com/classement-parcs-attraction-top20/" } ] }, { "type": "text", "text": "\n\nThe top French parks reported impressive visitor numbers for 2024:\n- ", "annotations": null }, { "type": "text", "text": "Parc Astérix = 2,842,000 visitors ᐅ Record", "annotations": [ { "title": "Classement Parcs d'attractions France ❤️ Top 15 Visiteurs 2024", "url": "https://www.parcs-france.com/classement-parcs-attraction-top20/" } ] }, { "type": "text", "text": "\n- ", "annotations": null }, { "type": "text", "text": "Puy du Fou = 2,800,000 ᐅ Record", "annotations": [ { "title": "Classement Parcs d'attractions France ❤️ Top 15 Visiteurs 2024", "url": "https://www.parcs-france.com/classement-parcs-attraction-top20/" } ] }, { "type": "text", "text": "\n- ", "annotations": null }, { "type": "text", "text": "Futuroscope = 2,050,000", "annotations": [ { "title": "Classement Parcs d'attractions France ❤️ Top 15 Visiteurs 2024", "url": "https://www.parcs-france.com/classement-parcs-attraction-top20/" } ] }, { "type": "text", "text": "\n\n### Industry Significance\n\n", "annotations": null }, { "type": "text", "text": "With a turnover of 3 billion euros, 500 companies and more than 50,000 employees, leisure destinations are a diverse and enduring asset for France.", "annotations": [ { "title": "No. 1 amusement park in France | Puy du Fou", "url": "https://www.puydufou.com/france/en/no-1-amusement-park-france" } ] }, { "type": "text", "text": " ", "annotations": null }, { "type": "text", "text": "The French amusement parks union SNELAC proudly proclaims it: this industry is a real dream machine for its 63 million visitors.", "annotations": [ { "title": "No. 1 amusement park in France | Puy du Fou", "url": "https://www.puydufou.com/france/en/no-1-amusement-park-france" } ] }, { "type": "text", "text": "\n\n### European Market Context\n\n", "annotations": null }, { "type": "text", "text": "The amusement parks market in Europe is growing with a significant CAGR from 2025 to 2030.", "annotations": [ { "title": "Amusement Parks Market Size, Share | Industry Report, 2030", "url": "https://www.grandviewresearch.com/industry-analysis/amusement-parks-market" } ] }, { "type": "text", "text": " France plays a crucial role in this growth, hosting several internationally recognized parks.\n\n### Key Success Factors\n\n1. **International Recognition**: ", "annotations": null }, { "type": "text", "text": "Winning 9 international awards in just 7 years, Puy du Fou has established itself worldwide as a real leader in the field of shows and parks.", "annotations": [ { "title": "No. 1 amusement park in France | Puy du Fou", "url": "https://www.puydufou.com/france/en/no-1-amusement-park-france" } ] }, { "type": "text", "text": "\n\n2. **Diverse Offerings**: ", "annotations": null }, { "type": "text", "text": "Across France, different venues compete with inventiveness to offer increasingly wild attractions (roller coasters, 4D films...) and ever more grandiose shows.", "annotations": [ { "title": "Les 17 parcs d'attractions incontournables en France en 2025", "url": "https://www.fnacspectacles.com/magazine/others/parc-attraction-incontournable-france" } ] }, { "type": "text", "text": "\n\n3. **Innovation**: Parks are continuously introducing new attractions, with ", "annotations": null }, { "type": "text", "text": "Winnoland, the most visited amusement park in the 91 region, renewing itself with a new attraction: the Wild West Coaster", "annotations": [ { "title": "Amusement parks and funfairs in and around Paris, program and information 2025 - Sortiraparis.com", "url": "https://www.sortiraparis.com/en/what-to-visit-in-paris/walks/guides/50912-amusement-parks-and-funfairs-in-and-around-paris-2024-program" } ] }, { "type": "text", "text": " for 2025.\n\n### Future Outlook\n\nThe industry shows strong growth potential with ", "annotations": null }, { "type": "text", "text": "the global amusement parks market size estimated at USD 102.67 billion in 2024 and projected to reach USD 149.32 billion by 2030, growing at a CAGR of 6.1% from 2025 to 2030", "annotations": [ { "title": "Amusement Parks Market Size, Share | Industry Report, 2030", "url": "https://www.grandviewresearch.com/industry-analysis/amusement-parks-market" } ] }, { "type": "text", "text": ".\n\n### Conclusion\n\nThe amusement park business in France remains highly relevant and continues to thrive despite recent challenges. With record-breaking attendance figures, significant economic contribution, and continuous innovation, the sector demonstrates strong resilience and growth potential. The industry's ability to attract over 63 million visitors annually and generate 3 billion euros in revenue underscores its importance to France's tourism and entertainment sectors.", "annotations": null } ] } ] } ] } ] }
All POST data should be sent in the JSON format (UTF-8 encoding). The task setting is done using the POST method. When setting a task, you should send all task parameters in the task array of the generic POST array. You can send up to 2000 API calls per minute, each Live Claude LLM Responses call can contain only one task.
Execution time for tasks set with the Live Chat GPT LLM Responses endpoint is currently up to 120 seconds.
Below you will find a detailed description of the fields you can use for setting a task.
Description of the fields for setting a task:
Field name | Type | Description |
---|---|---|
user_prompt |
string | 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 | name of the AI model required field model_name consists 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_tokens |
integer | maximum number of tokens in the AI response optional field minimum value: 1 maximum value: 2048 default value: 2048 Note: when web_search is set to true , the output token count may exceed the specified max_output_tokens limit |
temperature |
float | 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: 0.7 |
top_p |
float | diversity of the AI response optional field controls diversity of the response by limiting token selection; minimum value: 0 maximum value: 1 default value: null |
web_search |
boolean | 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 ;
|
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
|
web_search_country_iso_code |
string | 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_city |
string | city name of the location optional field Note: specify web_search_country_iso_code to use this parameter
|
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 |
array | 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 |
As a response of the API server, you will receive JSON-encoded data containing a tasks
array with the information specific to the set tasks.
Description of the fields in the results array:
Field name | Type | Description |
---|---|---|
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 |
float | 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 |
array | array of tasks |
id |
string | task identifier unique task identifier in our system in the UUID format |
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 |
status_message |
string | informational message of the task you can find the full list of general informational messages here |
time |
string | execution time, seconds |
cost |
float | cost of the task, USD includes the base task price plus the money_spent value |
result_count |
integer | number of elements in the result array |
path |
array | URL path |
data |
object | contains the same parameters that you specified in the POST request |
result |
array | array of results |
model_name |
string | name of the AI model used |
input_tokens |
integer | number of tokens in the input total count of tokens processed |
output_tokens |
integer | number of tokens in the output total count of tokens generated in the AI response |
web_search |
boolean | indicates if web search was used |
money_spent |
float | cost of AI tokens, USD the price charged by the third-party AI model provider for according to its Pricing |
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 |
items |
array | array of response items contains structured AI response data |
type |
string | type of the element = ‘message’ |
sections |
array | array of content sections contains different parts of the AI response |
type |
string | type of element = ‘text’ |
text |
string | AI-generated text content |
annotations |
array | 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 |
title |
string | the domain name or title of the quoted source |
url |
string | URL of the quoted source |