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0340784d57
Bring the LLM-driven "automatic" metadata filtering mode from the legacy Knowledge Retrieval node to the KnowledgeFS retrieval node (knowledge-retrieval-v2). Backend: - Accept `automatic` in `metadata_filtering_mode` and add `metadata_model_config` to the node entity. - Add `automatic_metadata_filter.py`, which reuses the legacy metadata filter prompt templates, invokes the configured model, parses the JSON answer and normalises operators/values against the KnowledgeFS metadata catalog before building custom metadata conditions. - Resolve the shared metadata catalog across the selected spaces through the new `list_metadata_fields` app execution capability (paginated), fail closed on missing/unavailable models and catalog admission errors, fail open on extraction errors, and expose the outcome via `metrics.metadata_filtering` and `llm_usage`. - Inject the default extractor from the node factory. - Fix an unescaped brace in the legacy completion prompt template that broke `.format()`. Frontend: - Offer disabled/automatic/manual modes, normalise unknown persisted modes to disabled, store the automatic model and completion params, render the model selector through the shared MetadataFilter, and require a model when saving in automatic mode. Co-Authored-By: Claude Code <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WnUM1CdV5LpcxZEQ2vu9Xc |
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| .. | ||
| agent | ||
| app | ||
| base | ||
| callback_handler | ||
| datasource | ||
| entities | ||
| extension | ||
| external_data_tool | ||
| file | ||
| helper | ||
| llm_generator | ||
| logging | ||
| mcp | ||
| memory | ||
| model_runtime | ||
| moderation | ||
| ops | ||
| plugin | ||
| prompt | ||
| rag | ||
| repositories | ||
| schemas | ||
| telemetry | ||
| tools | ||
| trigger | ||
| variables | ||
| workflow | ||
| __init__.py | ||
| test_file.py | ||
| test_model_context.py | ||
| test_model_manager.py | ||
| test_provider_configuration.py | ||
| test_provider_manager.py | ||
| test_trigger_debug_event_selectors.py | ||