💬 Chat Controller Guide#
OpenAI compatible. Easy to integrate. Zero learning curve.
The Chat Controller is compatible with the OpenAI chat completion API. Same interface, same response format, making migration easy and straightforward.🎯 When to Use This Controller#
Integrating conversational AI into your applications
Building chatbots with standard chat completion format
Streaming responses for a better user experience
Supporting multiple language models through a single API
Compatibility with OpenAI SDK/libraries you're already using
🚀 Endpoints#
POST /chat/completions#
POST /v1/chat/completions#
Both endpoints are identical - use whichever matches your existing code🔄 Migration in 30 Seconds#
Using Python OpenAI SDK#
Using LangChain SOON#
Using Node.js OpenAI SDK#
📋 Request Schema#
📋 Response Schema#
🌊 Streaming Responses#
🔧 Function Calling#
🛡️ Compliance Features SOON#
Automatic PII Protection SOON#
Content Filtering SOON#
🎨 Usage Examples#
Basic Chat Bot#
Domain-Specific Assistant SOON#
Multi-turn Conversations#
📊 Response Enhancements#
🚨 Error Handling#
🎯 Best Practices#
1. Use System Messages Wisely#
2. Implement Retry Logic#
3. Track Usage Efficiently SOON#
📚 SDK Support#
We're compatible with all major OpenAI SDKs and libraries:✅ Microsoft Semantic Kernel
🎁 Pro Tips#
1.
Use streaming for UX: Users love seeing responses appear in real-time
2.
Set user IDs: Better tracking, better compliance
3.
Lower temperature for consistency: Especially for customer-facing bots
4.
Cache system prompts: They don't change often
5.
Monitor finish_reason: Handle length limits gracefully
Modificado em 2025-07-16 20:18:41
