• OpenAI-compatible and Claude Messages-compatible APIs
• Unified SSE streaming and tool-call normalization
• Multi-provider routing for OpenAI, Claude, DeepSeek, Gemini, Grok, and GLM
• Centralized usage, balance, and model configuration
• Run coding agents and automation workflows across providers
• Switch models without rewriting client integrations
• Monitor usage and costs by project or agent

A unified gateway makes a lot of sense for anyone building on both OpenAI and Claude — being able to switch models without rewriting the whole integration saves real time. How does the routing decide which model handles a request — is it rules you set yourself, or does it fall back automatically if one provider is slow or down?
A gateway that normalizes streaming and tool calls across providers solves a real pain — the payload differences between OpenAI's SSE chunks and Claude's Messages format are where most multi-provider wrappers break. Two things I'd want to know before routing production traffic through it: does the router fall back automatically on a 429/5xx from one provider, or does it surface the error to the client? And are usage chunks and stop reasons normalized too, or only the visible text deltas?

a useful solution for teams working with multiple AI providers. Having a unified API, consistent https://www.myfedloan.com.co streaming, and centralized usage tracking could make switching between models much easier without changing existing integrations.

A unified gateway makes a lot of sense for anyone building on both OpenAI and Claude — being able to switch models without rewriting the whole integration saves real time. How does the routing decide which model handles a request — is it rules you set yourself, or does it fall back automatically if one provider is slow or down?
A gateway that normalizes streaming and tool calls across providers solves a real pain — the payload differences between OpenAI's SSE chunks and Claude's Messages format are where most multi-provider wrappers break. Two things I'd want to know before routing production traffic through it: does the router fall back automatically on a 429/5xx from one provider, or does it surface the error to the client? And are usage chunks and stop reasons normalized too, or only the visible text deltas?

a useful solution for teams working with multiple AI providers. Having a unified API, consistent https://www.myfedloan.com.co streaming, and centralized usage tracking could make switching between models much easier without changing existing integrations.
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