Roberto Musso
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fa231a3642
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feat(local-agent-v2): step 2+3 — unified runner + AgentConfig schema
Step 3 (prerequisite):
- app/schemas.py: add ContentTypeConfig + AgentConfig Pydantic models
- app/models.py: add agent_config (JSON, nullable) to LocalAgentConfig
- alembic migration a3b9c0d1e2f3: ADD COLUMN agent_config
Step 2 (runner refactor):
- Remove _classify_file() and _BATCH_FILE_CLASSIFIER_PROMPT (LLM classification step)
- Add Phase A: detect_content_type + preprocess (zero LLM, per file)
- Add _UNIFIED_PROCESSING_PROMPT (hot-swappable via Langfuse "unified_processing")
- Add helper functions: _format_projects, _format_metadata, _get_extraction_rules,
_get_no_match_behavior
- Single LLM call per file with tools (classify + extract + create)
- Fix items_created: count create_* tool calls via _tool_calls_out param
- test_agent_runner_v2.py: 10 cases (2.1-2.10) with Langfuse eval scoring
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-04-07 15:00:32 +02:00 |
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f6ed383b3a
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add user name and surname
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2026-03-10 16:14:00 +01:00 |
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c90ed58078
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step-6: add memory models and migration (models.py, alembic)
- User.encryption_key: per-user Fernet key generated on registration
- MemoryCore: encrypted key/value preferences
- MemoryAssociative: encrypted semantic memory + pgvector(1536) embedding
- MemoryEpisodic: encrypted session summaries
- MemoryProactive: encrypted behavioral patterns with confidence score
- Migration 004: enables pgvector extension, creates all 4 tables + ivfflat index
- auth.py register: generates Fernet key for new users
- 8 unit tests pass (SQLite in-memory, JSON embedding fallback)
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
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2026-03-08 22:05:58 +01:00 |
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1dfd088e18
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step 3.1 complete: agent config tables + schemas + migration
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2026-03-05 15:14:43 +01:00 |
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e3c7547c75
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Remove unused imports across multiple files to clean up the codebase
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2026-03-03 17:21:40 +01:00 |
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d0b303e745
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Step 12 - completed
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2026-03-03 14:53:34 +01:00 |
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5d485b3665
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step 12
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2026-03-03 12:39:32 +01:00 |
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