LLM API Implementation Guides
Step-by-step tutorials and best practices for building production-ready AI applications
Featured Guides
Master rate limit handling with exponential backoff, queuing strategies, and production-ready code examples for all major LLM APIs.
All Guides
Implement a robust fallback system that automatically switches between LLM providers to ensure 99.9% uptime.
Advanced
12 minReliability
Architecture
Learn proven techniques to reduce token usage without sacrificing quality, including prompt optimization and response caching.
Intermediate
18 minCost Optimization
Tokens
Master function calling with OpenAI, Claude, and other APIs. Includes schema design, error handling, and real-world examples.
Advanced
20 minFunction Calling
Advanced Features
Step-by-step guide to building a production-ready chatbot with conversation history, streaming responses, and user management.
Beginner
25 minChatbot
Tutorial
Implement real-time streaming responses from LLM APIs with proper error handling and client-side rendering.
Intermediate
14 minStreaming
Real-time
Reduce costs and latency by implementing intelligent caching that understands query similarity and context.
Advanced
16 minCaching
Performance
Secure your LLM applications against prompt injection, data leaks, and other security vulnerabilities.
Intermediate
22 minSecurity
Best Practices
Complete guide to Retrieval-Augmented Generation: embeddings, vector databases, and production deployment.
Advanced
30 minRAG
Embeddings
Handle API errors gracefully with circuit breakers, retry logic, and fallback strategies for reliable AI applications.
Intermediate
13 minError Handling
Reliability
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