docs: update AGENTS.md for travel assistant workflow redesign

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2026-03-10 20:28:45 +00:00
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@@ -19,7 +19,8 @@ Voyage is **pre-release** — not yet in production use. During pre-release:
## Architecture Overview
- **API proxy pattern**: Frontend never calls Django directly. All API calls go through `frontend/src/routes/api/[...path]/+server.ts`, which proxies to `http://server:8000`, handles cookies, and injects CSRF behavior.
- **AI chat**: Embedded in Collections → Recommendations via `AITravelChat.svelte` component. No standalone `/chat` route. Provider list is dynamic from backend `GET /api/chat/providers/` (sourced from LiteLLM runtime + custom entries like `opencode_zen`). Chat conversations use SSE streaming via `/api/chat/conversations/`. Default AI provider/model saved via `UserAISettings` in DB (authoritative over browser localStorage). LiteLLM errors are mapped to sanitized user-safe messages via `_safe_error_payload()` (never exposes raw exception text). Invalid tool calls (missing required args) are detected and short-circuited with a user-visible error — not replayed into history. Chat agent tools (`get_trip_details`, `add_to_itinerary`) respect collection sharing — both owners and `shared_with` members can use them; `list_trips` remains owner-only.
- **AI chat**: Docked side panel (desktop drawer-end) / slide-over (mobile) on the itinerary page via `AITravelChat.svelte`. No standalone `/chat` route; no recommendations view. Chat persists across tab switches and page refreshes via localStorage. Permission-gated by `canModifyCollection`. Provider list is dynamic from backend `GET /api/chat/providers/` (sourced from LiteLLM runtime + custom entries like `opencode_zen`). Chat conversations use SSE streaming via `/api/chat/conversations/`. Default AI provider/model saved via `UserAISettings` in DB (authoritative over browser localStorage). LiteLLM errors are mapped to sanitized user-safe messages via `_safe_error_payload()` (never exposes raw exception text). Invalid tool calls (missing required args) are detected and short-circuited with a user-visible error — not replayed into history. Chat agent tools (`get_trip_details`, `add_to_itinerary`) respect collection sharing — both owners and `shared_with` members can use them; `list_trips` remains owner-only.
- **Admin-editable system prompt**: `ChatSystemPrompt` singleton model in Django admin. Admins/hosters can edit the base system prompt at runtime without rebuilding Docker images. Falls back to hardcoded default when no DB row exists. Dynamic user/party preference injection is preserved on top of the admin-editable base.
- **Service ports**:
- `web``:8015`
- `server``:8016`
@@ -62,14 +63,15 @@ Run in this order:
4. `cd frontend && bun run build`
## Known Issues (Expected)
- Frontend `bun run check`: **0 errors + 6 warnings** expected (pre-existing in `CollectionRecommendationView.svelte` + `RegionCard.svelte`)
- Backend tests: **6/39 fail** (pre-existing: 2 user email key errors + 4 geocoding API mocks; 32 chat tests all pass)
- Frontend `bun run check`: **0 errors + 1 warning** expected (pre-existing in `RegionCard.svelte`)
- Backend tests: **6/41 fail** (pre-existing: 2 user email key errors + 4 geocoding API mocks; 41 chat tests all pass)
- Docker dev setup has frontend-backend communication issues (500 errors beyond homepage)
## Key Patterns
- i18n: use `$t('key')` for user-facing strings
- i18n: use `$t('key')` for user-facing strings; new key `chat.travel_assistant` for the AI chat panel title
- API calls: route through proxy at `/api/[...path]/+server.ts`
- Styling: use DaisyUI semantic colors/classes (`bg-primary`, `text-base-content`, etc.)
- Icons: use `~icons/mdi/` pattern (e.g. `import ChatIcon from '~icons/mdi/chat-outline'`); do NOT use `lucide-svelte`
- Security: handle CSRF tokens via `/auth/csrf/` and `X-CSRFToken`
- Chat providers: dynamic catalog from `GET /api/chat/providers/`; configured in `CHAT_PROVIDER_CONFIG`
- Chat model override: dropdown selector fed by `GET /api/chat/providers/{provider}/models/`; persisted in `localStorage` key `voyage_chat_model_prefs`; backend accepts optional `model` param in `send_message`