Harnessing Harnesses - Climbing the LLM Hills
This blog post explores the concept of "harnesses" — the orchestration layer around large language models that controls inputs, tools, prompts, models, state, validation, and outputs. The author argues that while model selection and prompt engineering matter, the orchestration layer is where the biggest improvements in capability, cost, and reliability come from. The post reviews several open-source harness frameworks useful for offensive security research, including RAPTOR (which builds a structured pipeline with validation stages), Anthropic's Code Reference (for execution-verified C/C++ findings using ASAN), Baby Naptime (a runtime exploitation loop), Evil Socket's Audit Framework (an eight-stage pipeline), and Visa's Vulnerability Agentic Harness (focused on threat modeling). It also provides guidance on designing custom harnesses, emphasizing stage-specific prompts, context window management, model routing, and the importance of memory and retrieval-augmented generation for reusing knowledge across runs. The author concludes that the true value lies in the structure around the model and releases a stripped-down template harness kit based on their own workflow.
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