Model R6 (97% pass rate on 33-probe eval, val_bpb 0.2635):
- modal/serve.py + modal/_tools.py: tool-aware streaming with
TavilySearchBackend auto-detect, python_start/end state machine,
output_start/end forcing; mount tavily secret
- modal/serve.py: MODEL_TAG=d24-sft-r6, model path points at new SFT r6
- services/chat-api/routes/messages.py: accept thinking_mode flag,
inject samosaChaat system prompt (direct or <think> variant) into
first user message before streaming to Modal
- services/frontend/components/chat/ChatInput.tsx: Brain toggle
'Think' button next to send; when active, model uses think mode
- services/frontend/components/chat/ChatWindow.tsx: track
thinkingMode state, pass through to API body as thinking_mode
- services/frontend/components/chat/MessageBubble.tsx: parse and
render <think>...</think> as collapsible italic blocks;
<|python_start|>...<|python_end|> as tool-call cards with icons
per tool name; <|output_start|>...<|output_end|> as result cards
with expandable JSON
- nanochat/tools.py: TavilySearchBackend class + auto-detect
- nanochat/ui.html: legacy UI reasoning toggle (kept for parity)
Tool execution verified live: query -> web_search via Tavily ->
Macron returned with grounded answer.
