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Cisco AI launches FAPO for automated LLM pipeline optimization

By PulseAugur Editorial · [2 sources] ·

Cisco AI has developed FAPO, an open-source system designed to autonomously optimize multi-step LLM pipelines. FAPO uses Claude Code to evaluate, classify failures, propose variants, and iterate on prompts to achieve target accuracy. In evaluations, FAPO outperformed the state-of-the-art prompt optimizer GEPA on most benchmarks, demonstrating significant gains, especially when structural pipeline changes were involved. AI

IMPACT This tool could streamline the development and deployment of LLM applications by automating prompt optimization and failure analysis.

RANK_REASON This is a new tool/framework release from a company, not a frontier model release from a major AI lab.

Read on MarkTechPost →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

Cisco AI launches FAPO for automated LLM pipeline optimization

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This is a new tool/framework release from a company, not a frontier model release from a major AI lab.
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86 days old
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COVERAGE [2]

  1. MarkTechPost TIER_1 English(EN) · Asif Razzaq ·

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

    <p>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 v…

  2. Mastodon — fosstodon.org TIER_1 English(EN) · [email protected] ·

    Cisco Foundation AI has open-sourced FAPO, a Claude Code-driven system that autonomously optimises multi-step LLM pipelines. It evaluates chains, attributes fai

    Cisco Foundation AI has open-sourced FAPO, a Claude Code-driven system that autonomously optimises multi-step LLM pipelines. It evaluates chains, attributes failures at step level, proposes variants and validates them. In testing it beat GEPA on 15 of 18 model-benchmark compariso…

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