MiroFlow offers a complete observability solution:
- Visual debugging interface: Built-in Web UI for tracing the complete execution and data flow of the smart body
- Benchmark test suiteIncludes pre-configured evaluation scripts to support automated performance verification of standardized test sets such as GAIA
- Tracking log system: Documentation of the decision chain, tool usage logs and intermediate results for each intelligence
- sandbox test environment: Isolated testing via E2B sandboxing, support for rapid deployment and rollback of Docker images
The developer can be reached through theuv run main.py tracecommand monitors the execution trajectory of individual tasks in real time.
This answer comes from the articleMiroFlow: a framework for building, managing and scaling AI intelligencesThe
May not be reproduced without permission:AI productivity tools " How to optimize debugging efficiency in the development of AI intelligences?
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