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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. |
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