9e2473c3e9
Full-stack implementation enabling UI-driven management of the 5 AI agent knowledge bases (Legal, Brand Barclays, Brand Barclaycard, Channel Best Practices, Channel Tech Specs). Backend: - 4 new DB models: KnowledgeBase, SourceDocument, SpecVersion, ProcessingJob - Migration 006: creates tables, seeds 5 KB rows, imports existing prompts/*.md as v1 specs - KnowledgeBaseRepository with full CRUD for all 4 tables - LlamaParseService for document parsing, KnowledgeBaseService for pipeline orchestration - ReferenceDocsService updated with DB-backed spec loading + cache invalidation - 11 REST endpoints under /api/knowledge-base (list, detail, upload, delete, process, job status, versions, diff, activate) - StorageService extended with KB document storage Frontend: - TypeScript types for all KB entities (KnowledgeBaseListItem, SourceDocument, ProcessingJob, SpecVersion, DiffResult) - ApiService methods for all KB endpoints including multipart file upload - KnowledgeBase component with 3-level UI: agent grid, detail view (documents + versions tabs), diff viewer - Drag-and-drop file upload, processing progress bar with 3s polling, version comparison - KnowledgeBaseIcon + Sidebar nav item with adminOnly filtering Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
4 lines
121 B
Python
Executable file
4 lines
121 B
Python
Executable file
from app.api.routes import router
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from app.api.knowledge_base_routes import kb_router
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__all__ = ["router", "kb_router"]
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