Show HN: We tested how 5 LLMs handle failed write actions (duplicate prevention)

Category: ai-ml

Tags: llm-agents, benchmark, fault-injection, reliability, tool-use

Score: 5.3/10 (Innovation: 6, Technical: 4, Documentation: 7, Utility: 4)

A benchmark harness testing how five LLM routes handle failed write actions (timeouts, lost replies, rate limits) to measure duplicate prevention and false success rates. It provides raw data, scoring scripts, and multiple write-ups, offering a practical look at reliability gaps in agent tool-use.

Target audience: AI engineers, agent developers, backend devs integrating LLM tool calls

Repository: https://github.com/0xguenther/agent-write-path-runs · JavaScript · 1 stars

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