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refactor(agent): rename agent_cli to metadata_ops, strip temp debug logs

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- Rename py/agent_cli/ -> py/metadata_ops/ (module was never agent-related)
- Rename tests/agent_cli/ -> tests/metadata_ops/
- Remove 9 low-value/debug INFO log points across agent_handlers.py,
  agent_service.py, llm_service.py, and metadata_ops/__init__.py
- Keep LLM raw response at DEBUG level for diagnostics
- Consolidate per-model progress + LLM result into single concise
  log line with basename instead of full path
- Update package/class/method docstrings to clarify this is a
  pipeline infrastructure, not a true agent loop
This commit is contained in:
Will Miao
2026-07-05 18:00:58 +08:00
parent 7b19bbb14e
commit 51c0135250
12 changed files with 113 additions and 126 deletions
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8
py/services/agent/__init__.py
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@@ -1,8 +1,12 @@
"""Agent-powered skill system for LoRA Manager.
"""LLM-powered metadata enrichment pipeline infrastructure.
This package provides the orchestration layer for LLM/agent-powered features.
This package provides the orchestration layer for LLM-powered features.
Skills define *what* to do (prompt template). The :class:`AgentService`
handles *how* (LLM calls, context gathering, validation, progress).
NOTE: The current implementation is a code-driven pipeline, not a true
agent loop. Future agent orchestration (LLM-driven tool selection) will
live alongside this package with its own namespace.
"""
from __future__ import annotations