Klyro Uses Two-Agent LLM Pipeline With Multi-Provider Key Rotation to Stay Reliable

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Klyro's diagnostic system splits its AI workload across exactly two LLM calls per run: an Analyst model identifies performance issues from load-test results, while a separate Investigator model writes the corresponding code fix. After its sole Mistral provider became unexpectedly rate-limited to zero requests per minute, the team shifted to a pooled approach holding two Mistral and two Groq API keys simultaneously. A rotating key manager cycles through the pool on HTTP 429 errors, ensuring a single provider outage does not stall the pipeline. To limit risk from AI-generated code changes, the Investigator is restricted to writing only three pre-approved files, and every patch must include a SHA-256 hash that is verified against the live file before it is applied. The design deliberately separates where flexibility is permitted — provider failover — from where it is not, such as file access and patch integrity.

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