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fireworks-ai

Fast serverless inference on Fireworks AI — open models, fine-tuning, and function-calling optimized endpoints.

skills/fireworks-ai/SKILL.md

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## Overview

Fireworks AI is an inference platform for generative AI optimized for speed:
serverless APIs for open models with an emphasis on low latency and high
throughput, plus fine-tuning (including LoRA/adapter-based approaches) and
features aimed at compound AI systems — function calling, structured outputs,
and multi-modal models. The positioning is "fast inference for builders of
agentic and compound systems."

The practical evaluation: Fireworks competes on tokens-per-second and
time-to-first-token for open models, with serverless simplicity. If your
application is latency-sensitive (agents making many sequential calls, real-time
assistants) and you want open models without infrastructure, Fireworks belongs
on the shortlist alongside the other speed-optimized providers.
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