llm-api-setup-guides
View on GitHub88篇中文 AI API中转站与工具配置教程:Codex API、Claude Code API、OpenAI-compatible API、Base URL、Cursor、Cherry Studio、计费验证与错误排查。
Chinese-language documentation hub (98 guides) for wiring LLM APIs into tools: base URL/key setup for chat clients, coding agents (Claude Code, Codex, Cursor, Cline), local model servers and RAG platforms, plus billing checks and 401/404/429 troubleshooting.
Use Cases
Configure third-party API keys and base URLs in chat clientsPoint Claude Code, Codex CLI, Cursor and Cline at OpenAI-compatible or Anthropic endpointsDebug 401/404/429/5xx and streaming errors when calling LLM APIsVerify relay API billing, quotas and model IDsDeploy local model servers with Ollama, vLLM, SGLang or llama.cppSelf-host chat UIs and RAG knowledge bases (Open WebUI, Dify, RAGFlow, MaxKB)Build agents with LangGraph, CrewAI, PydanticAI or Google ADKTrace and evaluate LLM/agent runs with LangfuseSet up MCP and coding-agent workflowsChoose between official and relay APIs by protocol compatibility
Built With
- Language
- Python
- Frameworks
- LangChain · LlamaIndex · LangGraph · CrewAI · PydanticAI · OpenAI Agents SDK · Claude Agent SDK · Google ADK · smolagents · Mastra · Dify · FastGPT · RAGFlow · Open WebUI · LiteLLM · vLLM
Tags
chinese · tutorials · documentation · llm-api · api-relay · openai-compatible · byok · claude-code · codex-cli · cursor · cherry-studio · local-llm · rag · mcp · troubleshooting · mkdocs