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Seven focused modules that the upcoming new_chat orchestrator
composes:
* auto_pin: resolve_initial_auto_pin selects the initial config (with
vision-capable filtering and error classification).
* llm_capability: check_image_input_capability blocks routing an
image-bearing turn to a known text-only model.
* runtime_context: build_new_chat_runtime_context assembles the
SurfSenseContextSchema for a new-chat turn.
* persistence_spawn: spawn_set_ai_responding_bg, spawn_persist_user_task,
spawn_persist_assistant_shell_task, and await_persist_task background
the four pre-stream DB writes so they overlap with agent build.
* initial_thinking_step: build_initial_thinking_step +
iter_initial_thinking_step_frame produce the very first thinking-1 SSE
step ("Understanding your request" / "Analyzing referenced content").
* title_gen: spawn_title_task + maybe_emit_title_update +
await_pending_title_update background the thread-title generator and
interleave its update into the stream when ready.
* input_state: build_new_chat_input_state assembles the LangGraph
input_state (history bootstrap, mentions resolution, context blocks,
human-message construction). The heavy one.
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 | ||