AI API guides
These guides answer practical questions about AI API gateways, OpenAI-compatible integrations, Claude Code, Gemini CLI, error handling, and managed versus self-hosted routing.
How to choose an AI API gateway
An AI API gateway should reduce integration work without hiding the details that matter in production. Compare compatibility, routing, observability, billing, and support before you move a workload.
OpenAI-compatible API setup guide
You can usually move an existing OpenAI SDK integration by changing the base URL, API key, and model name. Use a small test request first, then verify streaming, tool calls, and usage accounting for your workload.
Claude Code API configuration guide
Claude Code integrations are easiest to maintain when the API base URL, authentication token, model availability, and failure behavior are documented in one place.
Gemini CLI API configuration guide
A reliable Gemini CLI setup depends on three things: the correct endpoint family, a valid model ID, and a token that is stored outside your project files.
AI API error troubleshooting guide
The fastest way to fix an API error is to classify it by layer: client configuration, authentication, quota, request validation, route health, or upstream availability.