LLM API SLA Design: Availability, Latency, Fallback, and Support

Enterprise customers may ask for AI reliability commitments. LLM API SLAs are difficult because your product may depend on external model providers.

Define what you control

Separate your platform uptime from provider availability. Be clear about dependencies.

Measure latency

If you commit to latency, define whether it means time to first token, total response time, or backend processing time.

Fallback strategy

Fallback providers can improve availability, but backup models must meet quality requirements.

Final thoughts

LLM API SLAs should be realistic, observable, and backed by routing, fallback, monitoring, and clear customer communication.