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

Cisco Foundation AI open-sourced FAPO, a Claude Code-driven system that autonomously optimizes multi-step LLM pipelines by attributing failures at the step level and proposing variants. In evaluations, FAPO outperformed GEPA on 15 of 18 model-benchmark comparisons, marking a significant advance in automated prompt optimization.

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 https://www.marktechpost.com/2026/06/20/cisco-ai-introduces-fapo-pipeline-aware-prompt-optimization-with-step-level-failure-attribution-and-claude-code-orchestration/ appeared first on MarkTechPost https://www.marktechpost.com .