Leaderboard Deploy agents

Different AI providers and models have unique requirements for input processing, output filtering, and API parameters that must be implemented correctly. When working with AI APIs, research and implement provider-specific handling rather than assuming uniform behavior across all providers.

Key considerations:

• Input filtering: Some providers require filtering of thinking tags or special content (e.g., filterThinkingTags(block.text) for certain models)
• Parameter requirements: Certain providers mandate specific parameters like max_tokens to prevent output truncation, especially for models like DeepSeek R1
• Specialized parsing: Complex AI responses may need custom JSON parsing logic beyond standard utilities when dealing with malformed LLM outputs

Example implementation:

// Provider-specific parameter handling
const requestOptions = {
    model: model.id,
    messages: openAiMessages,
    max_tokens: maxOutputTokens, // Required by Fireworks API
    // ... other provider-specific params
}

// Provider-specific content filtering
const processedContent = isSpecialModel 
    ? filterThinkingTags(block.text)
    : block.text

Before implementing generic solutions, verify whether the target AI provider has documented requirements or behavioral differences that need accommodation.