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…-fixes fix(ai-chat): harden chroma collection creation flow
Refactor langraph
refactor(ai-chat): add langgraph checkpointed runtime
…boards-stop-progress-explore feat(ai-chat): add stop, progress and explore sources
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Caution Review failedThe pull request is closed. ℹ️ Recent review info⚙️ Run configurationConfiguration used: Organization UI Review profile: CHILL Plan: Pro Run ID: ⛔ Files ignored due to path filters (1)
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WalkthroughAdds a complete "dashboard chat" feature: new backend orchestration, LLM/vector integrations (OpenAI, Chroma), DB models/migrations, WebSocket consumer, Celery tasks, config/ENV, client/warehouse adapters, extensive tests, docs, and seed data. All feature gates and consent checks are included. Changes
Sequence Diagram(s)sequenceDiagram
participant Client
participant WS as WebSocket Consumer
participant DB as Postgres (sessions/turns)
participant Runtime
participant Vec as VectorStore (Chroma)
participant LLM as OpenAI
participant WH as Warehouse
participant Celery
Client->>WS: send_message (dashboard_id, message)
WS->>DB: create/reuse session & user message, create turn (QUEUED)
WS->>WS: publish initial progress
WS->>Celery: start background turn (turn_id)
Celery->>Runtime: run turn (session_id, user_query)
Runtime->>Vec: get_or_embed_query / retrieve documents
Runtime->>LLM: classify intent / run tool-loop
alt SQL path
Runtime->>WH: get_schema_snippets / execute_sql
end
Runtime->>DB: persist assistant message & turn updates
Runtime->>WS: publish assistant message event
WS->>Client: assistant message (via websocket)
Estimated code review effort🎯 5 (Critical) | ⏱️ ~120 minutes Possibly related PRs
Suggested reviewers
✨ Finishing Touches📝 Generate docstrings
🧪 Generate unit tests (beta)
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Summary by CodeRabbit
New Features
Improvements
Dependencies