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Celeris ยท Developer documentation

Inference for the hot path

An OpenAI-compatible API for celeris-1 โ€” a diffusion LLM that returns short, structured answers in tens of milliseconds, built for the calls your agents make while users wait.

Your first call

Point any OpenAI SDK at the Celeris base URL, or curl it directly. Full walkthrough in the Quickstart.

curl https://inference.cloud.celeris.ai/celeris-1/v1/chat/completions \
-H "Authorization: Bearer $CELERIS_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model": "celeris-1",
"messages": [{"role": "user", "content": "Reply with one word: fast or slow?"}],
"max_tokens": 4, "temperature": 0}'

OpenAI-compatible

The chat-completions API you already use, at a different base URL. Official SDKs work unmodified โ€” swap the endpoint and go.

Making requests โ†’

Built for agents

Classify, extract, judge, rewrite: diffusion decoding lands whole short answers in one burst, so hot-path calls stop dominating your agent's latency budget.

Agentic workloads โ†’

Latency you can audit

Every response carries a Server-Timing breakdown of processing, queueing, and inference โ€” measure us, don't trust us.

Measuring latency โ†’