MIXAPI

MIXAPI is a next-generation AI model gateway designed to aggregate and manage API calls from multiple large language models including Claude, Gemini, Qwen3, Kimi-K2, and others. It converts all supported model APIs into standardized OpenAI-compatible, Claude, and Gemini formats, enabling unified access through a single interface. The system provides centralized key management, channel distribution, and token-based billing with support for package plans, usage quotas, and per-model restrictions. Organizations can deploy MIXAPI via executable file, Docker container, or source code to manage internal LLM infrastructure with caching, retry logic, and detailed usage analytics. It solves the complexity of managing multiple model APIs by providing a single gateway with enterprise features like token groups, model limits, frequency controls, and comprehensive audit logging.

[{"step":"Define your use case and model requirements. Decide which models you need (e.g., Qwen3 for local inference, Claude for proxy, Kimi-K2 for API key access) and which interfaces you want to expose (OpenAI, Claude, or Gemini compatible).","tip":"List all models you plan to use in a single deployment to avoid conflicts. Use the MIXAPI model registry (https://github.com/mixapi/models) to check compatibility."},{"step":"Deploy MIXAPI using your preferred method. Choose between a single executable (for quick testing), Docker (for production), or cloud deployment (AWS/GCP/Azure).","tip":"For production, use Docker with environment variables for configuration (e.g., `MIXAPI_MODELS`, `MIXAPI_API_KEYS`). Example: `docker run -d -p 8080:8080 mixapi/mixapi:latest`."},{"step":"Configure API keys and access control. Add your model provider keys (e.g., for Kimi-K2) and assign keys to users/teams. Use the MIXAPI admin dashboard or CLI to manage keys.","tip":"Enable key rotation (e.g., weekly) and set rate limits per key to prevent abuse. Use the `mixapi-admin` CLI: `mixapi-admin keys add --name team1 --limit 500`."},{"step":"Test and integrate the unified APIs. Replace your existing model endpoints with MIXAPI's OpenAI/ Claude/ Gemini-compatible URLs. Validate responses and performance.","tip":"Use tools like Postman or cURL to test endpoints. Example: `curl -X POST https://your-mixapi.com/v1/chat/completions -H 'Authorization: Bearer sk-123' -d '{\"model\": \"qwen3\", \"messages\": [{\"role\": \"user\", \"content\": \"Hello\"}]}'`"},{"step":"Monitor and optimize. Set up logging, metrics, and alerts (e.g., Prometheus + Grafana). Adjust rate limits, model priorities, and caching based on usage patterns.","tip":"Use MIXAPI's built-in metrics endpoint (`/metrics`) to track request volume, latency, and errors. Adjust model weights for load balancing if using multiple providers."}]