LinkCelerisTool
Latency compounds quickly in iterative agent loops. Combining higher solve rates with reduced median completion times directly addresses one of the primary friction points in deploying practical autonomous agents.
By targeting tool loops rather than standard conversational generation, Celeris positions Magnus for structured, automated workflows. The per-request reasoning parameter allows engineers to balance speed and thoroughness on a task-by-task basis, while standard OpenAI endpoint compatibility eliminates major migration overhead.
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
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