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1. Confirm activation

Sign in to the console, verify your email and workspace, and check Overview → Live model service. If offered, select Request activation. Verified new registrations enter the setup queue when automatic activation is enabled. You can browse Model marketplace before activation, with every model marked unavailable and no call action; a top-up or completed account setup does not by itself activate inference. Contact support@omnirelay.ai if review is required.

2. Create an API key

After activation is verified, create a dedicated key under API Keys (creation is disabled beforehand), with the required models, budget and expiry. Its full value appears at creation or rotation and can be viewed again after confirming it’s you; keep it on your server. Customers only need an OmniRelay key, no other credentials.

3. Discover models

Query your own list first. The examples below use gpt-6-luna; it must appear in your list with mode: live. If the list is empty, check activation and key model restrictions.

4. Send a text request

Streaming is the recommended default: text arrives as it is generated, and long generations are not cut off by the time limit for a complete non-streamed reply. Leave out stream to receive one JSON response instead.

5. Check the result and charge

Keep the X-Request-ID response header: support uses it to look up a single call, and the Usage page shows your totals. usage is validated usage; cost_microusd is the settled charge (divide by 1,000,000 for USD), distinct from the maximum pre-dispatch hold. GPT 6 Luna has a 1,050,000-token context, defaults to 32,000 output tokens and allows at most 128,000. Most integrated text models allow up to 128,000 output tokens and default to 32,000 (Gemini 3.1 Pro Preview and Gemini 3.6 Flash: at most 65,536); DeepSeek V4 Pro, GLM 5.3 and Kimi K3 default to and allow at most 4,096; GPT 5.4 Mini defaults to 64 and allows at most 256. When switching models, check limits, capabilities.stream and reasoning_efforts; do not copy GPT-specific options to other models. Live calls must not include locale or unsupported fields. Check capabilities.tools, json_object and json_schema before sending function tools or JSON formats.
Live calls are paid and reserve money before dispatch; even a short prompt needs sufficient balance and budget. SDK examples disable automatic retries. After a timeout or stream failure, check the error code in Errors before resending.
Chat completions · List models · Usage and billing · User manual