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Optimizing LLMs for Agentic Workloads

This story is from 2026-09-04. It is preserved in the archive; the latest stories are on the live feed.

Agentic workloads are fundamentally different from simple chat completions. A single user request can trigger a multi-step loop where the model reasons, emits tool calls, waits for external results, and appends everything back into the context window for the next iteration. Each turn inflates the p…

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  1. 2026-09-04 03:32 · DEV Community — AI
    Optimizing LLMs for Agentic Workloads

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