dawn-hello

As a user (Killer Bhai), main Home screen dekh ke seedha Voice Assistant activate kar sakoon ya Settings mein ja sakoon. Existing JSX design v3 ko React mein wire up karna hai — hero section, AI voice trigger button, navigation shortcuts, galaxy map interactions (twinkle animations, parallax nebula background), aur status indicators sab implement honge. Theme t1 ke tokens use honge.

As a user, main AI se conversation kar sakoon aur usse save kar sakoon playlist mein. Existing JSX design v2 ko React mein implement karna hai — message bubbles, input bar, model selector, save button, aur response rendering (markdown support). Guest user bhi responses dekh sake. Theme t1 ke tokens use honge.

As a user, main apni saved conversations ko playlist ki tarah browse aur replay kar sakoon. Existing JSX design v1 ko React mein wire up karna hai — saved chat cards, search/filter, delete option, aur conversation preview. Theme t1 ke tokens use honge.

As a user, main ek central Settings screen se saare app controls access kar sakoon — AI Agent Hub, AI Team Mode, Feature Suggestions, Backup, Security, aur Voice Assistant settings ke links. Existing JSX design v1 ko React mein implement karna hai. Theme t1 ke tokens use honge.

As a user, main available AI agents (free/paid) dekh sakoon, unka status check karoon aur activate/deactivate kar sakoon. Existing JSX design v1 ko React mein wire up karna hai — agent cards, free/paid badges, status indicators (purchased/active/available), aur agent detail view. Settings se navigate hoga.

As a user (Killer Bhai), main AI Team Mode enable/disable kar sakoon aur task division configuration set kar sakoon. Parallel research mode bhi toggle ho sake. Existing JSX design v1 ko React mein implement karna hai — toggle switches, task division UI, team status panel. Settings se navigate hoga.

As a user, main nayi feature suggestions ki notifications dekh sakoon aur unhe install ya reject kar sakoon. Existing JSX design v2 ko React mein wire up karna hai — suggestion cards, red notification badges, install/reject buttons, aur suggestion history. Settings se navigate hoga.

As a user, main 6-month backup configure kar sakoon, external backup set karoon, playlist backup enable karoon aur data recovery initiate kar sakoon. Existing JSX design v1 ko React mein implement karna hai — backup schedule settings, external storage config, recovery options. Settings se navigate hoga.

As a user (Killer Bhai), main voice lock enable karoon, admin permissions manage karoon aur app protection settings configure karoon. Existing JSX design v1 ko React mein wire up karna hai — voice lock toggle, permission matrix, protection level selector. Settings se navigate hoga.

As a user, main Voice Assistant ki activation settings configure karoon, identity recognition setup karoon aur response system customize karoon. Existing JSX design v1 ko React mein implement karna hai — activation trigger settings, voice identity config, response mode toggles. Settings se navigate hoga (Guest user bhi limited voice settings dekh sake).

As a user, main AI se real-time chat kar sakoon jahan backend intelligent LLM routing kare. FastAPI mein chat endpoints banane hain — POST /api/chat/message (streaming support), GET /api/chat/history, POST /api/chat/save. MySQL mein conversation storage, Alembic migration, aur multi-model support ke liye Langchain/Litellm integration prepare karna (actual LLM routing t20 mein hoga).

As a user (Killer Bhai), main app ka current version dekh sakoon, available updates check karoon, version history browse karoon aur rollback kar sakoon agar zaroorat ho. Frontend: Settings se navigate hone wali Update & Upgrade page (React, theme t1 tokens). Backend (FastAPI): GET /api/updates/current, GET /api/updates/available, POST /api/updates/apply, GET /api/updates/history, POST /api/updates/rollback/{version_id}. MySQL mein version_history table, Alembic migration.

As a developer, mujhe FastAPI mein Voice Assistant ke liye backend endpoints chahiye — activation state save karna, identity recognition config store karna (MySQL + Alembic migration), response system preferences persist karna, aur voice lock ke saath Security module se integrate karna. Endpoints: GET/POST /api/voice/settings, POST /api/voice/activate.

As a user, main apni saved conversations ko playlist mein organize aur manage kar sakoon. FastAPI mein playlist CRUD endpoints banane hain — POST /api/playlist/save, GET /api/playlist, DELETE /api/playlist/{id}, GET /api/playlist/{id}/messages. MySQL schema aur Alembic migrations, chat API (t13) se saved conversation link karna.

As a user, main AI agents ki list fetch kar sakoon, unka free/paid status dekh sakoon aur activate/deactivate kar sakoon. FastAPI mein endpoints: GET /api/agents, GET /api/agents/{id}, POST /api/agents/{id}/activate, POST /api/agents/{id}/deactivate. MySQL mein agent registry table, Alembic migration, aur agent status tracking logic.

As a user, main feature suggestions ki list fetch kar sakoon, notification badges mein unread count dekh sakoon aur install ya reject action le sakoon. FastAPI mein endpoints: GET /api/suggestions, POST /api/suggestions/{id}/install, POST /api/suggestions/{id}/reject, GET /api/suggestions/notifications. MySQL mein suggestions table, Alembic migration, aur notification status tracking.

As a user, main backup schedule configure kar sakoon, manual backup trigger karoon aur recovery initiate kar sakoon. FastAPI mein endpoints: GET/POST /api/backup/config, POST /api/backup/trigger, GET /api/backup/history, POST /api/backup/restore/{backup_id}. MySQL mein backup_logs table, Alembic migration, 6-month retention logic, external storage adapter (S3/local), aur playlist backup integration.

As a user (Killer Bhai), main voice lock backend se enable/disable kar sakoon, admin permissions manage karoon aur protection level set karoon. FastAPI mein endpoints: GET/POST /api/security/settings, POST /api/security/voice-lock/enable, POST /api/security/voice-lock/disable, GET/POST /api/security/permissions. MySQL mein security_config table, Alembic migration, voice lock state management.

As a developer, chat backend mein GPT 5.4, Claude 4.6 Opus, aur Google Nano Banana ke liye intelligent LLM routing implement karna chahta hoon. Langchain aur Litellm use karke unified interface banana hai — model selection logic, fallback handling, streaming support, token usage tracking, aur cost optimization. Chat API (t13) ke POST /api/chat/message endpoint mein routing layer inject hoga. Alembic migration for model_usage_logs table.

As a user (Killer Bhai), main AI Team Mode backend se enable/disable kar sakoon aur task division configuration persist ho sake. FastAPI mein endpoints: GET/POST /api/team-mode/config, POST /api/team-mode/enable, POST /api/team-mode/disable. MySQL mein team config table, Alembic migration, parallel research mode logic, aur AI Agent Hub (t15) ke active agents se integration.