Cisco AI开源FAPO：流水线感知提示优化，步骤级失败归因与Claude Code编排

精选理由

Cisco开源了FAPO，能自动修多步LLM管线的提示，比GEPA强在15/18个测试里，想搞提示优化的快去试试。

AI 摘要

Cisco Foundation AI开源FAPO，由Claude Code驱动，自动优化多步骤LLM流水线。FAPO评估整个链条，在步骤级别归因失败原因，并提出提示、参数和链结构层面的变体。在18个模型-基准对比中，FAPO击败GEPA 15次。每个变体经独立审批评证后集成到优化循环中。

Cisco AI开源FAPO：流水线感知提示优化，步骤级失败归因与Claude Code编排 — 图片来源 · marktechpost

原文 · marktechpost

Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization With Step-Level Failure Attribution and Claude Code Orchestration

Cisco Foundation AI has open-sourced FAPO (Fully Automated Prompt Optimization), a Claude Code-driven system that autonomously optimizes multi-step LLM pipelines from baseline prompts to target accuracy. FAPO evaluates a chain, attributes failures at the step level, proposes variants across prompt, parameter, and chain-structure levels, and validates each through an independent reviewer. In Cisco's evaluation, it beat GEPA on 15 of 18 model-benchmark comparisons. Here's how the optimization loop works and how to run it. The post Cisco AI Introduces FAPO: Pipeline-Aware Prompt Optimization With Step-Level Failure Attribution and Claude Code Orchestration appeared first on MarkTechPost .

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