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* fix(chat): prevent stacked socket listeners on reconnect subscribeChatEvents was declared async despite having no awaits, so the cleanup function was returned in a microtask after React's synchronous cleanup had already run. Each socket reconnect added another layer of listeners that were never removed, causing chat:done to fire N times and produce duplicate message bubbles. - Remove async keyword from subscribeChatEvents; return cleanup fn directly - Update useEffect call site to store cleanup synchronously and return it to React (eliminates the mounted/then race entirely) Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(local-ai): add multi-turn chat via Ollama /api/chat Expose openhuman.local_ai_chat RPC method so the UI can run full conversation-history chat directly through the bundled Ollama model without touching the cloud inference API. - ollama_api.rs: add OllamaChatMessage / OllamaChatRequest / OllamaChatResponse types for the /api/chat endpoint - service/public_infer.rs: add LocalAiService::chat_with_history() — sends multi-turn message array to Ollama, updates latency/TPS status on response - ops.rs: add LocalAiChatMessage struct and local_ai_chat async op - schemas.rs: register local_ai_chat controller (schema, handler, params) in all_controller_schemas + all_registered_controllers Zero cloud tokens are consumed on this path; the call never reaches the backend socket or the /openai/v1/chat/completions endpoint. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * feat(conversations): local-model chat gate with multi-bubble delivery When Ollama is ready (isLocalModelActive), handleSendMessage bypasses the cloud socket entirely and routes through openhumanLocalAiChat. Response is segmented and delivered as multiple typed bubbles with natural pauses — human-like reply behaviour at zero cloud token cost. UI / delivery - deliverLocalResponse(): segments full reply via segmentMessage(), dispatches each bubble with getSegmentDelay() pause between them; typing indicator (isDelivering) shows between segments - Socket-connected guard skipped on local path so offline local use works - Cloud socket path (chatSend → chat:done) fully unchanged Frontend RPC - tauriCommands: openhumanLocalAiChat(messages, maxTokens?) wraps openhuman.local_ai_chat via core RPC; LocalAiChatMessage type exported Tests (402 passing) - messageSegmentation: 4 new edge-case tests (whitespace, 80-char boundary, paragraph split, delay scaling) - localChatGating (new file): 9 tests — segmentation correctness, delay bounds [500, 1400] ms, sender→role mapping for message history build Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * fix(prompts): replace vague emoji guidance with explicit contextual rules The previous "Minimal — match the user's style" instruction was too loose, causing the model to stack decorative emojis on every message (e.g. "Hey! 😄 Just cooking up some AI magic! 🚀🔥✨"). SOUL.md — add Emoji Rules section: - Hard cap: one emoji maximum per message; none is always acceptable - Contextual, not decorative: emoji must reinforce the specific content (🔥 for exciting news, 🤔 for uncertainty, ✅ for confirmations) - Never open a sentence with an emoji - Skip entirely in error/warning/technical/long responses - Mirror the user's own emoji usage pattern - Concrete good/bad examples so the model can calibrate BOOTSTRAP.md — tighten the Communication Preferences entry to reference the same rules rather than the old vague one-liner. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * chore: scope PR_DESCRIPTION.md to feat/humanlike-replies only Remove unrelated package manager distribution content (was from a different branch). Description now covers only the 4 commits on this branch: socket listener fix, Rust local_ai_chat RPC, frontend local chat gate + multi-bubble delivery, and emoji prompt rules. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> * refactor(local_ai): improve code formatting and readability in chat operations - Adjusted formatting in local_ai_chat function for better readability by adding line breaks. - Simplified the mapping of messages to OllamaChatMessage in ops.rs. - Streamlined the await syntax in schemas.rs for clarity. - Enhanced formatting in public_infer.rs for consistency in API request construction. * refactor(conversations): enhance code readability and structure in Conversations component - Improved formatting and consistency in the Conversations component, including better alignment of dispatch calls and message handling logic. - Removed redundant imports and streamlined the mapping of stored messages for clarity. - Adjusted conditional rendering for improved readability in the UI logic. --------- Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>