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feat: Implement LLM and scheduler modules

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- Implement `llm.py` with OpenAI API integration for smart responses.
- Implement `scheduler.py` to send a daily summary to the bot owner using `python-telegram-bot`'s `JobQueue`.
- Integrate the scheduler into the main application.
- Add `pytz` as a new dependency.
- Update `tasks.md` to mark all tasks as complete.
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google-labs-jules[bot]
2025-12-16 00:24:06 +00:00
parent 9654ba7dd5
commit eb680edc54
5 changed files with 69 additions and 29 deletions
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tasks.md
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@@ -31,8 +31,8 @@ This file tracks the development tasks for the Talía project.
## Phase 4: Integrations
- [x] Implement `calendar.py` for Google Calendar integration.
- [ ] Implement `llm.py` for AI-powered responses.
- [ ] Implement `scheduler.py` for daily summaries.
- [x] Implement `llm.py` for AI-powered responses.
- [x] Implement `scheduler.py` for daily summaries.
## Log