Agent Traces Python Packages

agent-strace

Observability for AI agents. See what your agent did, why it cost that much, and what to fix.

cultivar

Use cultivar to test your Agent Skills and Docs by running them in sandboxes, and across different agents.

proof-of-done

Claude Code plugin that stops a coding agent from ending its turn with 'tests pass', 'build succeeds' or 'deployed' unless the transcript shows the command ran after the last edit and succeeded. Plus a CLI that audits agent transcripts for unsupported claims.

etchplan

Compile an AI agent's repeated workflows into deterministic, auditable routines that replay for free, with a fallback to the agent.

atap

Agent Trace Analysis Platform (atap) — pluggable pipeline for trace representation, analysis, error classification, failure attribution and recovery for LLM agents

open-agent-traces

Generate realistic multi-agent workflow traces with LLM-enriched content, semantic validation, and PM4Py compatibility. pip install open-agent-traces