mirror of
https://github.com/willmiao/ComfyUI-Lora-Manager.git
synced 2026-07-05 17:01:16 -03:00
51c0135250
- 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
28 lines
908 B
Python
28 lines
908 B
Python
"""LLM-powered metadata enrichment pipeline infrastructure.
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This package provides the orchestration layer for LLM-powered features.
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Skills define *what* to do (prompt template). The :class:`AgentService`
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handles *how* (LLM calls, context gathering, validation, progress).
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NOTE: The current implementation is a code-driven pipeline, not a true
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agent loop. Future agent orchestration (LLM-driven tool selection) will
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live alongside this package with its own namespace.
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"""
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from __future__ import annotations
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from .skill_definition import SkillDefinition, SkillPermissions
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from .skill_registry import SkillRegistry
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from .agent_service import AgentService, AgentProgressReporter, SkillResult
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from .post_processor import PostProcessor
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__all__ = [
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"AgentProgressReporter",
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"AgentService",
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"PostProcessor",
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"SkillDefinition",
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"SkillPermissions",
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"SkillRegistry",
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"SkillResult",
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]
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