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Hardening Multi-Agent RAG Pipelines with ruflo: Token Cost Boundaries and Prompt Cache Integration

Description and use

<h1> Hardening Multi-Agent RAG Pipelines with ruflo: Token Cost Boundaries and Prompt Cache Integration </h1> <p>When integrating <strong>ruvnet/ruflo</strong> (🌊 <em>the original agent harness</em>) into an existing RAG retrieval stack, the first question isn't "does it work"—it's "where does it break, and what does it cost to run at scale?"</p> <p>After stress-testing ruflo's federated multi-agent orchestration layer against a production document corpus (12M tokens, 400K chunks), here's the architectural breakdown: what holds, what fails, and how prompt caching slashed repetitive context co

Problem

<h1> Hardening Multi-Agent RAG Pipelines with ruflo: Token Cost Boundaries and Prompt Cache Integration </h1> <p>When integrating <strong>ruvnet/ruflo</strong> (🌊 <em>the original agent harness</em>) into an existing RAG retrieval stack, the first question isn't "does it work"—it's "where does it break, and what does it cost to run at scale?"</p> <p>After stress-testing ruflo's federated multi-agent orchestration layer against a production document corpus (12M tokens, 400K chunks), here's the architectural breakdown: what holds, what fails, and how prompt caching slashed repetitive context co

Outcome

<h1> Hardening Multi-Agent RAG Pipelines with ruflo: Token Cost Boundaries and Prompt Cache Integration </h1> <p>When integrating <strong>ruvnet/ruflo</strong> (🌊 <em>the original agent harness</em>) into an existing RAG retrieval stack, the first question isn't "does it work"—it's "where does it break, and what does it cost to run at scale?"</p> <p>After stress-testing ruflo's federated multi-agent orchestration layer against a production document corpus (12M tokens, 400K chunks), here's the architectural breakdown: what holds, what fails, and how prompt caching slashed repetitive context co

Evidence

Hardening Multi-Agent RAG Pipelines with ruflo: Token Cost Boundaries and Prompt Cache Integration

Source

  • Record date: 2026-10-19T14:41:23.150Z