Replaces manual prompt engineering with a cyclic process of analysis, improvement, and simulation for AI agents. It enables developers to tune LLM parameters and logic against specific KPIs in a controlled sandbox.
Tech Stack
PythonAI, ML & Data
Why agentune?
• KPI-centric optimization
• Simulation-based testing
• Framework agnostic
Limitations
• High conceptual overhead
• Requires significant compute for simulations
• Early-stage documentation
2/25/2026
Last Update
3
Forks
11
Issues
Apache-2.0
License
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