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refactor(agent): align 'Agent' naming to 'AI/LLM' to match current implementation
- locales/en.json: 'Enrich Metadata (Agent)' -> 'Enrich Metadata (AI)' - Rename SKILL.md -> prompt.md with backward compat in skill_registry.py - JS context menu action IDs: enrich-hf-agent -> enrich-hf-llm - HTML template data-action attributes synced to match - docstring cleanup: 'agent skill' -> 'skill pipeline' / 'feature'
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@@ -1,4 +1,4 @@
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"""Post-processing engine for agent skill outputs.
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"""Post-processing engine for skill pipeline outputs.
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The :class:`PostProcessor` takes the LLM's structured JSON output and applies
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it to a model's on-disk metadata via the :mod:`~py.agent_cli` functions.
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@@ -21,7 +21,7 @@ logger = logging.getLogger(__name__)
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class PostProcessor:
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"""Deterministic post-processor for agent skill outputs.
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"""Deterministic post-processor for skill pipeline outputs.
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Usage (called by :class:`~py.services.agent.agent_service.AgentService`)::
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