- Enhanced settings.py to include Confluence client ID and secret
- Created ConfluenceAuth class for handling authentication with Confluence
- Implemented ConfluenceLoader class for loading data from Confluence
- Updated connector_creator.py to register Confluence as a connector
- Added confluence.svg asset for UI representation
- Modified ConnectorAuth component to support Confluence connection
- Updated FilePicker component to include Confluence as a file source
- Added localization support for Confluence in multiple languages (de, en, es, jp, ru, zh-TW, zh)
- Enhanced Upload component to handle Confluence file selection
- Updated ingestor types to include Confluence and its configuration
* feat: enhance modal functionality and configuration handling
- Updated WrapperModal to improve click outside detection for closing the modal.
- Refactored ToolConfig to utilize ConfigFieldSpec for better configuration management.
- Added validation and dynamic handling of configuration fields in ToolConfig.
- Introduced reconnect functionality for MCP tools in the Tools component.
- Enhanced user experience with improved error handling and loading states.
- Updated types for better type safety and clarity in configuration requirements.
* refactor: reorganize imports and improve conditional formatting
* fix: revert API_URL to use backend service name in docker-compose
* feat: add MCP auth status endpoint and integrate into user service and tools
* feat: implement logging for Brave, Postgres, and Telegram tools; add transport sanitization and credential extraction for MCP
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Co-authored-by: Alex <a@tushynski.me>
* fixes setup scripts
fixes to env handling in setup script plus other minor fixes
* Remove var declarations
Declarations such as `LLM_PROVIDER=$LLM_PROVIDER` override .env variables in compose
Similar issue is present in the frontend - need to choose either to switch to separate frontend env or keep as is.
* Manage apikeys in settings
1. More pydantic management of api keys.
2. Clean up of variable declarations from docker compose files, used to block .env imports. Now should be managed ether by settings.py defaults or .env
* feat: Implement model registry and capabilities for multi-provider support
- Added ModelRegistry to manage available models and their capabilities.
- Introduced ModelProvider enum for different LLM providers.
- Created ModelCapabilities dataclass to define model features.
- Implemented methods to load models based on API keys and settings.
- Added utility functions for model management in model_utils.py.
- Updated settings.py to include provider-specific API keys.
- Refactored LLM classes (Anthropic, OpenAI, Google, etc.) to utilize new model registry.
- Enhanced utility functions to handle token limits and model validation.
- Improved code structure and logging for better maintainability.
* feat: Add model selection feature with API integration and UI component
* feat: Add model selection and default model functionality in agent management
* test: Update assertions and formatting in stream processing tests
* refactor(llm): Standardize model identifier to model_id
* fix tests
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Co-authored-by: Alex <a@tushynski.me>
* Update routes.py, added token and request limits to create/update agent operations
* added usage limit check to api endpoints
cannot create agents with usage limit right now that will be implemented
* implemented api limiting as either token limiting or request limiting modes
* minor typo & bug fix
- Implemented encryption utility for securely storing sensitive credentials.
- Added MCPServerModal component for managing MCP server configurations.
- Updated AddToolModal to include MCP server management.
- Enhanced localization with new strings for MCP server features.
- Introduced SVG icons for MCP tools in the frontend.
- Created a new settings section for MCP server configurations in the application.
Alex