Commit graph

4 commits

Author SHA1 Message Date
41d7377ab7 feat: implement message deduplication and LLM config improvements
- Deduplicate consecutive messages with same role in conversation history
- Add n_predict configuration option for LLM server
- Prevent duplicate message storage in session manager
- Update announcement schedule timing from 37 to 55 minutes
- Add default n_predict value in default bot config
2025-11-03 14:13:22 -03:00
53b49ba616 feat(automation): improve cron matching and job locking
- Refactor cron matching to use individual variables for each time component with additional debug logging
- Replace SETEX with atomic SET NX EX for job locking in Redis
- Add better error handling and logging for job execution tracking
- Skip execution if Redis is unavailable or job is already held
- Add verbose flag to LLM server startup command for better logging
2025-11-03 13:52:28 -03:00
b5e1501454 feat: add trace logging, refactor bot streaming, add config fallback
- Added `trace!` logging in `bot_memory.rs` to record retrieved memory values for easier debugging.
- Refactored `BotOrchestrator` in `bot/mod.rs`:
  - Removed duplicate session save block and consolidated message persistence.
  - Replaced low‑level LLM streaming with a structured `UserMessage` and `stream_response` workflow, improving error handling and readability.
- Updated configuration loading in `config/mod.rs`:
  - Imported `get_default_bot` and enhanced `get_config` to fall back to the default bot configuration when the primary query fails.
  - Established a fresh DB connection for the fallback path to avoid borrowing issues.
2025-11-03 10:13:39 -03:00
fea1574518 feat: enforce config load errors and add dynamic LLM model handling
- Updated `BootstrapManager` to use `AppConfig::from_env().expect(...)` and `AppConfig::from_database(...).expect(...)` ensuring failures are explicit rather than silently ignored.
- Refactored error propagation in bootstrap flow to use `?` where appropriate, improving reliability of configuration loading.
- Added import of `llm_models` in `bot` module and introduced `ConfigManager` usage to fetch the LLM model identifier at runtime.
- Integrated dynamic LLM model handler selection via `llm_models::get_handler(&model)`.
- Replaced static environment variable retrieval for embedding configuration with runtime
2025-11-02 18:36:21 -03:00