Updated `ConfigManager::get_config` to use Diesel query builder instead of raw SQL for improved safety and maintainability. Adjusted parameter naming and integrated schema references. Also refactored `ensure_llama_servers_running` to fetch configuration from the database using `AppState` and `ConfigManager`. Removed unused imports in bootstrap module.
- Split AIConfig into separate LLMConfig and embedding config structs
- Update create_site.rs to use config.llm instead of config.ai
- Improve config loading comments in bootstrap manager
- Add new LLM-related environment variables with defaults
- Maintain backward compatibility with existing config loading
- Clean up unused AIConfig struct and related code
The change better organizes the AI-related configuration by separating LLM and embedding configurations, making the code more maintainable and flexible for future AI service integrations.
- Changed RUST_LOG level from 'trace' to 'debug' in VSCode launch config
- Simplified auth handler by removing direct bot ID lookup logic
- Added HttpRequest parameter to auth handler
- Implemented bot_from_url helper for bot identification
- Updated auth script path to use bot-specific directory structure
- Removed unused warn import
- Improved error handling for auth script reading and execution
The changes streamline the authentication process by:
1. Moving bot identification to a dedicated helper function
2. Making the auth script path dynamic based on bot name
3. Reducing log verbosity in development
4. Cleaning up unused imports and code
Introduce bot mounting logic in `BotOrchestrator` to load and manage active bots from the database. Enhance `BootstrapManager` by refining Diesel query usage and connection handling for better reliability and maintainability.
- Added AWS SDK S3 dependencies including aws-config, aws-sdk-s3, and related crates
- Removed opendal dependency and replaced with AWS SDK S3 client
- Implemented new get_file_content helper function using AWS SDK
- Updated MinIOHandler to use AWS SDK client instead of opendal Operator
- Modified file change detection to work with AWS SDK's S3 client
The change was made to standardize on AWS's official SDK for S3 operations, which provides better maintenance and feature support compared to the opendal crate. This also aligns with AWS best practices for interacting with S3 services.
Eliminates the `s3_bucket` field from `AppConfig` and deletes related initialization code in `main.rs`. This simplifies configuration management since S3 bucket handling is no longer required or used in the application.
Introduces an async helper function to verify and create the configured S3 bucket if missing. This ensures the application has a valid storage target before initializing the drive, improving reliability in environments with dynamic bucket provisioning.
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.
