* (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 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>
