Heron: A passive eBPF-based network analyzer for AI agent observability
By
Vader Yang
Summary
Heron is a passive network analyzer for AI agents that uses eBPF to capture and reconstruct LLM traffic from the network layer. It requires no SDKs, proxies, or modifications to the request path, and can parse TLS-encrypted calls to providers like OpenAI, Anthropic, Gemini, vLLM, SGLang, and Ollama. The tool stitches multi-call interactions into coherent agent turns, solving the problem of logs showing "200 OK" while agents are actually stuck or malfunctioning.
Source
Key quotes
· 3 pulledHeron is a passive analyzer that reconstructs what your AI agents are actually doing — from the network traffic itself.
No SDK, no proxy, nothing in the request path.
Our team got tired of our AI agent loops looking like 200 OK in the logs while the actual agent was stuck replaying the same tool call for 47 seconds straight.
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