API

Generating Responses

SleekAI provides the sleekAi_generate_response function to directly interact with LLM providers and generate responses programmatically.

This function requires an array with the model and messages keys.

            $response = sleekAi_generate_response([
        'model' => 'openai_gpt-4.1-nano', // Provider prefix required
        'messages' => [
            [
                'role' => 'system',
                'content' => 'You are a helpful assistant.',
            ],
            [
                'role' => 'user',
                'content' => 'What is 1 + 1?',
            ]
        ]
    ]);

    // Check if the request was successful and get the message
    if (isset($response['response']['message'])) {
        $messageContent = $response['response']['message'];
        // $messageContent now holds: "1 + 1 equals 2."
        error_log(print_r($messageContent, true));
    } else {
        // Handle potential errors, e.g., log the full response
        error_log('SleekAI API Error: ' . print_r($response, true));
    }
  
                    

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Model Parameter

The model parameter requires a specific format: {provider}_{model_id}. For example, to use OpenAI's GPT-4.1 Nano model, you would use openai_gpt-4.1-nano. You can find the available models and their IDs within the SleekAI admin interface or the respective provider's documentation.

Messages Parameter

The messages parameter accepts an array of message objects, each containing a role (system, user, or assistant) and content.

Response Structure

The function returns an array containing the full request and response details from the provider. The core generated message content can typically be accessed via $response['response']['message'].

            {
      "response": {
        "message": "1 + 1 equals 2."
      },
      "request": {
        "headers": {},
        "body": "{\n  \"id\": \"chatcmpl-BPuif2aMOq2593NA4rWbaruUZillP\",\n  \"object\": \"chat.completion\",\n  ...", // Truncated for brevity
        "response": {
          "code": 200,
          "message": "OK"
        }
        // ... other details like cookies, filename, http_response
      }
    }
  
                    

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It's recommended to check for the existence of $response['response']['message'] before attempting to use it, as errors during the API call might result in a different structure.

Provider Abstraction

A key advantage of using sleekAi_generate_response is abstraction. While different LLM providers (like OpenAI, Anthropic, etc.) have distinct API requirements and message formats, SleekAI handles these differences internally. You can use the same standardized messages structure regardless of the chosen model. This allows you to easily switch between providers or models without needing to rewrite your message handling logic. Just update the model string, and SleekAI takes care of adapting the request to the specific provider's API.