SparkBeyond/agentune
Tune your AI Agent to best meet its KPI with a cyclic process of analyze, improve and simulate
Agentune helps product, operations, and ML teams improve customer-facing AI agents like chatbots or virtual assistants. It takes real conversation data and business metrics (like sales conversion or customer satisfaction scores) and identifies what patterns in the conversations lead to better or worse outcomes. You get concrete recommendations to refine your agent's prompts, policies, or logic, leading to measurable KPI improvements.
Available on PyPI.
Use this if you are responsible for an AI agent's performance and want to move beyond guesswork to data-driven, continuous improvement based on actual customer interactions.
Not ideal if you are looking for a tool to build AI agents from scratch, as Agentune focuses on optimizing existing deployed agents.
Stars
36
Forks
3
Language
Python
License
Apache-2.0
Category
Last pushed
Jan 14, 2026
Commits (30d)
0
Dependencies
16
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