AgentTune: A Unified Training Lifecycle for Tool-Using LLM Agents
- 类型：arxiv
- 标识：2610.13335
- 链接：http://arxiv.org/abs/2610.13335v1
- 主分类：agent
- 形态：method
- TLDR：Tool-using agents increasingly require a common substrate for building, training, evaluating, distilling, and maintaining agentic systems, yet existing tooling typically addresses these stages in isolation. We present AgentTune, a source-available Python library that provides a unified framework for developing and optimizing tool-using agents. At its core, AgentTune introduces a two-tier EventLog representation that preserves agent trajectories while supporting consistent projections for training, evaluation, and auditing. Building on this substrate, the library provides a shared agent runtime
- 副分类：engineering
- 待LLM分类：否
- 来源文件：
- /inbox/tom/_candidates/2026-10-12-agent-rag-longcontext-candidates.json