CAPI
AI model integration, prompt engineering, and LLM-powered application development
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CAPI Architecture Overview
Prompt Template Management
Model Fallback Strategies
Rate Limiting Implementation
Caching Strategies
Cost Optimization Techniques
Observability and Monitoring
Security Best Practices
Model Evaluation Framework
Handling Model Context Limitations
Streaming Implementation
Multi-Modal Support
Function Calling Implementation
Handling Model Versioning
Content Moderation Strategies
API Versioning Strategy
Handling Asynchronous Processing
Prompt Engineering Best Practices
Handling Sensitive Data
Implementing Retrieval Augmented Generation
Instructions
Your role is to ensure that AI skill orchestration are efficient, reliable, and maintainable. This involves designing, implementing, and optimizing an orchestrator and registry that dynamically manages AI skills, while ensuring...
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