Multi-agent systems in production take more than observability.

When agents run together in production, costs explode, traces become unmanageable and failures cascade with no attribution. Orbitrage routes every agent call to the right model and tool, enforces cost limits mid-session, and tells you which sub-agents caused the failure before your users do.

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Adaptive routing to your favourite model across any modality from one secure endpoint

Everything multi-agent AI needs to run reliably in production

Route calls to the right model.

Not every agent call needs the most powerful model. Route every request to the best model for any kind of task, automatically in under 8ms.

Stop overspend before it happens.

Multiple agents spending at the same time adds up fast. Orbitrage tracks cost across the whole session and enforces limits mid-run, not after the bill arrives.

Trace every failure to its agent.

An agent can complete successfully and still break everything three handoffs downstream. Your traces show each call. They don't show the session.

See every handoff between agents.

Most failures in multi-agent AI happen in the handoffs, when one agent passes context to the next. Orbitrage sits inside every handoff and makes it visible.

Tell agent errors from provider issues.

Provider degradation looks identical to a bug in your code. Slower responses, higher error rates, the signature is the same from inside your system. You fix the wrong thing.

Catch drift before your users notice.

Sometimes there are no errors. Just worse outputs. Orbitrage learns what normal looks like for your system and flags when behavior drifts, before your users notice.

Send your traffic to us with one URL change

Beforebase_url = "https://api.openai.com/v1"

Afterbase_url = "https://api.orbitrage.ai/v1"

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Here is why all of that is possible from one place in under 8ms per call.

Every time your agent runs researching, writing, extracting, and deciding. It calls a language model and it calls tools. Databases. APIs. External services. Sometimes dozens of each within a single session.