ducoterra
022da8e2bc
Foundation (phase 01, verified): - FastAPI app: /api/health, /api/suggestions, /api/chat (placeholder), static frontend served locally (no CDN) - Postgres 17 + pgvector via db/Containerfile + compose.yaml (podman compose up -d db), Alembic initial migration (documents, chunks with vector(768), query_log) - LLM client targeting https://aipi.reeseapps.com/v1 (turbo/embed); scripts/llm_probe.py verified models + 768-dim embeddings live - Conditional debugpy: imported only when DEBUGPY=1 (attach on demand, :5678); logging config for clean single-line logs - Frontend shell: mobile-first chat + Sources pages, tokens, a11y baselines - Tests: 24 unit+integration (99% coverage on app/), ruff + pyright clean, Playwright smoke E2E (3 tests) against a deterministic mock LLM - Planning: .agent/PLAN.md (architecture + LOCKED decisions), AGENTS.md, 6 user stories, 7 phase files (one story / one phase / one Playwright suite each)
30 lines
871 B
Python
30 lines
871 B
Python
"""POST /api/chat — placeholder (phase 01).
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Phase 03 replaces this with the real RAG pipeline and SSE streaming
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(PLAN §4 contract: ``delta`` events + final ``done``). The placeholder
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keeps the same JSON shape the frontend already consumes, so the UI round-trip
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is exercised end-to-end from day one.
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"""
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from __future__ import annotations
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from fastapi import APIRouter
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from app.schemas import ChatRequest
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router = APIRouter()
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@router.post("/chat")
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async def chat(request: ChatRequest) -> dict[str, object]:
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"""Placeholder answer — no LLM, no DB."""
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return {
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"ok": True,
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"answer": (
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"Hey! My neurons are still wiring up — the real Brain "
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"(RAG over your docs, powered by aipi) lands in the next "
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"phases. Try me again soon! 🧠"
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),
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"deflected": False,
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"sources": [],
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}
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