* (feat:memory) use fs/storage for files
* (feat:todo) artifact_id via sse
* (feat:notes) artifact id return
* (feat:artifact) add get endpoint, store todos with conv id
* (feat: artifacts) fe integration
* feat(artifacts): ui enhancements, notes as mkdwn
* chore(artifacts) updated artifact tests
* (feat:todo_tool) return all todo items
* (feat:tools) use specific tool names in bubble
* feat: add conversationId prop to artifact components in Conversation
* Revert "(feat:memory) use fs/storage for files"
This reverts commit d1ce3bea31.
* (fix:fe) build fail
* feat: implement WorkflowAgent and GraphExecutor for workflow management and execution
* refactor: workflow schemas and introduce WorkflowEngine
- Updated schemas in `schemas.py` to include new agent types and configurations.
- Created `WorkflowEngine` class in `workflow_engine.py` to manage workflow execution.
- Enhanced `StreamProcessor` to handle workflow-related data.
- Added new routes and utilities for managing workflows in the user API.
- Implemented validation and serialization functions for workflows.
- Established MongoDB collections and indexes for workflows and related entities.
* refactor: improve WorkflowAgent documentation and update type hints in WorkflowEngine
* feat: workflow builder and managing in frontend
- Added new endpoints for workflows in `endpoints.ts`.
- Implemented `getWorkflow`, `createWorkflow`, and `updateWorkflow` methods in `userService.ts`.
- Introduced new UI components for alerts, buttons, commands, dialogs, multi-select, popovers, and selects.
- Enhanced styling in `index.css` with new theme variables and animations.
- Refactored modal components for better layout and styling.
- Configured TypeScript paths and Vite aliases for cleaner imports.
* feat: add workflow preview component and related state management
- Implemented WorkflowPreview component for displaying workflow execution.
- Created WorkflowPreviewSlice for managing workflow preview state, including queries and execution steps.
- Added WorkflowMiniMap for visual representation of workflow nodes and their statuses.
- Integrated conversation handling with the ability to fetch answers and manage query states.
- Introduced reusable Sheet component for UI overlays.
- Updated Redux store to include workflowPreview reducer.
* feat: enhance workflow execution details and state management in WorkflowEngine and WorkflowPreview
* feat: enhance workflow components with improved UI and functionality
- Updated WorkflowPreview to allow text truncation for better display of long names.
- Enhanced BaseNode with connectable handles and improved styling for better visibility.
- Added MobileBlocker component to inform users about desktop requirements for the Workflow Builder.
- Introduced PromptTextArea component for improved variable insertion and search functionality, including upstream variable extraction and context addition.
* feat(workflow): add owner validation and graph version support
* fix: ruff lint
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Co-authored-by: Alex <a@tushynski.me>
* feat: enhance API tool with body serialization and content type handling
* feat: enhance ToolConfig with import functionality and user action management
- Added ImportSpecModal to allow importing actions into the tool configuration.
- Implemented search functionality for user actions with expandable action details.
- Introduced method colors for better visual distinction of HTTP methods.
- Updated APIActionType and ParameterGroupType to include optional 'required' field.
- Refactored action rendering to improve usability and maintainability.
* feat: add base URL input to ImportSpecModal for action URL customization
* feat: update TestBaseAgentTools to include 'required' field for parameters
* feat: standardize API call timeout to DEFAULT_TIMEOUT constant
* feat: add import specification functionality and related translations for multiple languages
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Co-authored-by: Alex <a@tushynski.me>
* 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.
- Added functionality to select agents in the Navigation component, allowing users to reset conversations and set the selected agent.
- Updated the MessageInput component to conditionally show source and tool buttons based on the selected agent.
- Modified the Conversation component to handle agent-specific queries and manage file uploads.
- Improved conversation fetching logic to include agent IDs and handle attachments.
- Introduced new types for conversation summaries and results to streamline API responses.
- Refactored Redux slices to manage selected agent state and improve overall state management.
- Enhanced error handling and loading states across components for better user experience.
