Introduce environment existence check to prevent redundant bootstrap runs and ensure smoother startup. Refactor `update_bot_config` to use globally unique config keys and atomic updates for better data consistency.
Reload configuration from environment to ensure latest DATABASE_URL and credentials are used before creating the database connection. This prevents stale config values when environment variables change.
- Introduced AWS SDK dependencies for S3 and CSV handling.
- Implemented logic to check and update the default bot configuration in S3 after component installation.
- Added a new configuration CSV template for bot settings.
- Refactored package manager to register cache component with updated download URL and binary name.
- Updated README and Cargo files to reflect new dependencies and configuration options.
- Created a new About page (index.html) detailing the BotServer platform, its features, and technology stack.
- Developed a Login page (login.html) with sign-in and sign-up functionality, including form validation and user feedback messages.
- Removed the empty style.css file as it is no longer needed.
- Replace simple message count with token-based calculation
- Add token estimation function (4 chars ≈ 1 token)
- Set MAX_TOKENS to 5000 and MIN_DISPLAY_PERCENTAGE to 20
- Update context usage display to show token count percentage
- Track tokens for both user and assistant messages
- Handle server-provided context usage as ratio of MAX_TOKENS
- Split package manager into separate modules
- Expose only the installer API
- Simplify BootstrapManager to install components and load config
- Pin ureq to 3.1.2 and add ureq‑proto crate
- Clean up configuration code and remove legacy comments
- Update helper scripts and server start command formatting
- Derive bot_id from BOT_GUID env var
- Guard concurrent runs with Redis
- Read CACHE_URL for Redis connection
- Extend bot memory keyword to accept comma as separator
- Increase LLM timeouts to 180s (local and legacy)
- Update templates to use bot memory (GET_BOT_MEMORY/SET_BOT_MEMORY)
- Fix start script path to announcements.gbai
- Rename script_name to param in automation flow and DB schema
- Add BotMemory model and bot_memories table
- Remove script_name field from automation
- Enable sqlite support via rusqlite and related crates (optional)
- Update prompts and queries to use param instead of script_name
- Remove deprecated annoucements GBai templates and align add-req.sh
- Refactor main to initialize automation service and simplify startup
- Extract LLM generation into `execute_llm_generation` and simplify
keyword handling.
- Prepend system prompt and session context to LLM prompts in
`BotOrchestrator`.
- Parse incoming WebSocket messages as JSON and use the `content` field.
- Add async `get_session_context` and stop injecting Redis context into
conversation history.
- Change default LLM URL to `http://48.217.66.81:8080` throughout the
project.
- Use the existing DB pool instead of creating a separate custom
connection.
- Update `start.bas` to call LLM and set a new context string.
- Refactor web client message handling: separate event processing,
improve streaming logic, reset streaming state on thinking end, and
remove unused test functions.
- Migrate core services to store Arc<AppState> and use locks
- Centralize state in AppState with Arc-wrapped managers
- Update handlers to pass Arc<AppState> via web::Data
- Add Default for AppState and initialize components in main
- Update debug.json program path from gbserver to botserver
- Load index.html from web/index.html instead of templates/static
- Initialize OpenAIClient with an empty key and local endpoint
- Remove the old static/index.html file
Create organizations table with UUID primary key, unique slug,
timestamps, and indexes on slug and created_at. Add
scripts/dev/build_fix.sh to consolidate prompts and source files for LLM
context. Allow dead_code in main.rs and rename unused org_id parameter
to _org_id.
