A zero-dep Python lib that trims LLM conversation history to fit a token budget — and always keeps tool_use/tool_result pairs together.
Hermes Agent Challenge Submission: Write About Hermes Agent
This is a submission for the Hermes Agent Challenge.
My Hermes research agent was failing after about 40 turns. The cause: conversation history growing past the context window. The fix everyone reaches for is "just drop old messages" — but if you drop a tool_use without its matching tool_result, Anthropic's API rejects the whole request.
I needed something smarter. That's agent-message-trim.
One call
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