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Three focused modules used by the upcoming resume-chat orchestrator: * runtime_context: build_resume_chat_runtime_context assembles the SurfSenseContextSchema for a resume turn (handles empty mention lists, since resume requests do not carry fresh @-mentions). * assistant_shell: persist_resume_assistant_shell writes a fresh assistant row for the resumed turn so the post-stream finalize has a target. * resume_routing: build_resume_routing collects the pending interrupts across paused subagents and slices the flat list of ResumeDecision[] into the correct (thread, subagent) buckets so LangGraph routes each decision back to the right paused tool call. Add-only; no orchestrator yet (next commit). |
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| .. | ||
| agents | ||
| config | ||
| connectors | ||
| etl_pipeline | ||
| indexing_pipeline | ||
| observability | ||
| prompts | ||
| retriever | ||
| routes | ||
| schemas | ||
| services | ||
| tasks | ||
| templates | ||
| utils | ||
| __init__.py | ||
| app.py | ||
| celery_app.py | ||
| db.py | ||
| exceptions.py | ||
| rate_limiter.py | ||
| users.py | ||