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fix(chat): clean up tool output and embedded UX

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alex
2026-03-09 21:12:46 +00:00
parent bb54503235
commit d8c8ecf2bd
13 changed files with 588 additions and 198 deletions
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.memory/knowledge/overview.md
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@@ -8,10 +8,12 @@ Frontend never calls Django directly. All API calls go through `src/routes/api/[
- Provider selector loads dynamically from `GET /api/chat/providers/` (backed by `litellm.provider_list` + `CHAT_PROVIDER_CONFIG` in `backend/server/chat/llm_client.py`).
- Supported configured providers: OpenAI, Anthropic, Gemini, Ollama, Groq, Mistral, GitHub Models, OpenRouter, OpenCode Zen (`opencode_zen`, `api_base=https://opencode.ai/zen/v1`, default model `openai/gpt-5-nano`).
- Chat conversations stream via SSE through `/api/chat/conversations/`.
- `ChatViewSet.send_message()` accepts optional context fields (`collection_id`, `collection_name`, `start_date`, `end_date`, `destination`) and appends a `## Trip Context` section to the system prompt when provided. When a `collection_id` is present, also injects `Itinerary stops:` from `collection.locations` (up to 8 unique stops). See [patterns/chat-and-llm.md](patterns/chat-and-llm.md#multi-stop-context-derivation).
- `ChatViewSet.send_message()` accepts optional context fields (`collection_id`, `collection_name`, `start_date`, `end_date`, `destination`) and appends a `## Trip Context` section to the system prompt when provided. When a `collection_id` is present, also injects `Itinerary stops:` from `collection.locations` (up to 8 unique stops) and the collection UUID with explicit `get_trip_details`/`add_to_itinerary` grounding. See [patterns/chat-and-llm.md](patterns/chat-and-llm.md#trip-context-uuid-grounding) and [patterns/chat-and-llm.md](patterns/chat-and-llm.md#multi-stop-context-derivation).
- Chat composer supports per-provider model override (persisted in browser `localStorage` key `voyage_chat_model_prefs`). DB-saved default provider/model (`UserAISettings`) is authoritative on initialization; localStorage is write-only sync target. Backend `send_message` accepts optional `model` param; falls back to DB defaults → instance defaults → `"openai"`.
- Invalid required-argument tool calls are detected and short-circuited: stream terminates with `tool_validation_error` SSE event + `[DONE]` and invalid tool results are not replayed into conversation history. See [patterns/chat-and-llm.md](patterns/chat-and-llm.md#tool-call-error-handling-chat-loop-hardening).
- LiteLLM errors mapped to sanitized user-safe messages via `_safe_error_payload()` (never exposes raw exception text). See [patterns/chat-and-llm.md](patterns/chat-and-llm.md#sanitized-llm-error-mapping).
- Tool outputs display as concise summaries (not raw JSON) via `getToolSummary()`. Persisted `role=tool` messages are hidden from display; on conversation reload, `rebuildConversationMessages()` reconstructs `tool_results` on assistant messages. See [patterns/chat-and-llm.md](patterns/chat-and-llm.md#tool-output-rendering).
- Embedded chat uses compact header (provider/model selectors in settings dropdown), bounded height, sidebar-closed-by-default, and visible streaming indicator. See [patterns/chat-and-llm.md](patterns/chat-and-llm.md#embedded-chat-ux).
- Frontend type: `ChatProviderCatalogEntry` in `src/lib/types.ts`.
- Reference: [Plan: AI travel agent](../plans/ai-travel-agent-collections-integration.md), [Plan: AI travel agent redesign — WS4](../plans/ai-travel-agent-redesign.md#ws4-collection-level-chat-improvements)