LLM API Documentation Center
Complete LLM API development documentation and technical guides. From enterprise LLM API basics to mastering API integration, providing detailed language model API interface documentation, code examples and best practices to help you quickly build enterprise AI applications
Total Documents
86+
Code Examples
200+
Monthly Active Users
50K+
Update Frequency
Weekly
LLM API Documentation Categories
LLM API Quick Start
Start from scratch, quickly get started with LLM API integration
Introduction to LLM API
Learn the basic concepts and enterprise advantages of LLM API
5-Minute Quick StartNew
Quickly complete your first API call
LLM API Authentication Guide
Detailed guide on API key application and authentication methods
Send Your First Request
Step-by-step guide to complete your first API call
Development Environment Setup
Best practices for configuring your local development environment
LLM API Reference
Detailed LLM API interface documentation and parameter descriptions
Chat Completion API
LLM Chat Completion interface detailed documentation
Text Generation API
Text generation interface parameters and examples
Vector Embeddings API
Embeddings interface usage guide
Models List API
Get available models list and details
Streaming Response APINew
Technical details for implementing streaming output
Function Calling APINew
Advanced feature for models to call external functions
LLM API SDK Documentation
LLM API SDK usage guides for various programming languages
Usage Guides
In-depth feature usage tutorials and examples
Complete Prompt Engineering Guide
Master the techniques for writing effective prompts
Context Management
Strategies for effectively managing conversation context
Rate Limit Handling
Understanding and handling API rate limits
Error Handling Guide
Best practices for gracefully handling API errors
Streaming Response HandlingNew
Implementing real-time streaming output
Best Practices
Proven development patterns and optimization techniques
Performance Optimization Guide
Techniques to improve API call performance
Security Best Practices
Protecting API keys and user data
Cost Optimization Strategies
Methods to reduce API usage costs
Scalability Design
Building highly available AI application architecture
Testing Strategies
Testing methods and tools for AI applications
Troubleshooting
Common problem solutions and debugging techniques
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