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https://github.com/willmiao/ComfyUI-Lora-Manager.git
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feat(agent): add LLM-powered metadata enrichment system with AgentCLI and PostProcessor
Introduce an agent skill framework for LLM-driven metadata enrichment: - AgentCLI (py/agent_cli/): in-process wrappers around internal services using standard relative imports, eliminating the need for sys.path hacks - LLMService: centralized BYOK (bring-your-own-key) LLM client supporting OpenAI, Ollama, and custom OpenAI-compatible endpoints - PostProcessor: deterministic engine that applies LLM output via AgentCLI (replaces old handler.py + _BASE_MODEL_ALIASES approach) - SkillRegistry: filesystem-based skill discovery (skill.yaml + prompt.md) - AgentService: orchestrates skill execution with WebSocket progress - Frontend AgentManager: WebSocket listeners, skill execution, config UI - Context menu entries (single + bulk) for "Enrich Metadata (Agent)" - Settings UI for AI Provider configuration (BYOK) - Full i18n support across 9 locales Bug fixes found during review: - aiohttp.web.json_response: status_code= -> status= - settings_modal cancelEditApiKey: wrong argument position - AgentManager.isLlmConfigured: allow Ollama without API key - PostProcessor._merge_tags: lowercase all tags to match TagUpdateService
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@@ -40,6 +40,7 @@ from .handlers.misc_handlers import (
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)
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from .handlers.base_model_handlers import BaseModelHandlerSet
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from .handlers.hf_handlers import HfHandler
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from .handlers.agent_handlers import AgentHandler
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from .misc_route_registrar import MiscRouteRegistrar
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logger = logging.getLogger(__name__)
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@@ -138,6 +139,7 @@ class MiscRoutes:
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example_workflows = ExampleWorkflowsHandler()
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base_model = BaseModelHandlerSet()
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hf_handler = HfHandler()
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agent_handler = AgentHandler()
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return self._handler_set_factory(
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health=health,
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@@ -158,6 +160,7 @@ class MiscRoutes:
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example_workflows=example_workflows,
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base_model=base_model,
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hf_handler=hf_handler,
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agent_handler=agent_handler,
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)
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