feat(agent_utils.py): add model detection utilities for Claude 3.7 models
fix(agent_utils.py): update get_model_token_limit to handle Claude 3.7 token limits correctly
test(model_detection.py): add unit tests for model detection utilities
chore(agent_utils.py): remove deprecated is_anthropic_claude function and related tests
style(agent_utils.py): format code for better readability and consistency
- Introduce a new `Session` model to store information about each program run, including command line arguments and environment details.
- Implement a `Trajectory` model to log significant events and errors during execution, enhancing debugging and monitoring capabilities.
- Update various repository classes to support session and trajectory management, allowing for better tracking of user interactions and system behavior.
- Modify existing functions to record relevant events in the trajectory, ensuring comprehensive logging of application activities.
- Enhance error handling by logging errors to the trajectory, providing insights into failures and system performance.
feat(vsc): add initial setup for VS Code extension "ra-aid" with essential files and configurations
chore(vsc): create tasks.json for managing build and watch tasks in VS Code
chore(vsc): add .vscodeignore to exclude unnecessary files from the extension package
docs(vsc): create CHANGELOG.md to document changes and updates for the extension
docs(vsc): add README.md with instructions and information about the extension
feat(vsc): include esbuild.js for building and bundling the extension
chore(vsc): add eslint.config.mjs for TypeScript linting configuration
chore(vsc): create package.json with dependencies and scripts for the extension
feat(vsc): implement extension logic in src/extension.ts with webview support
test(vsc): add initial test suite in extension.test.ts for extension functionality
chore(vsc): create tsconfig.json for TypeScript compiler options
docs(vsc): add vsc-extension-quickstart.md for guidance on extension development
feat(main.py): add DEFAULT_MODEL constant to centralize model configuration
feat(main.py): enhance logging and error handling for better debugging
feat(main.py): implement state_modifier for managing token limits in agent state
feat(anthropic_token_limiter.py): create utilities for handling token limits with Anthropic models
feat(output.py): add print_messages_compact function for debugging message output
test(anthropic_token_limiter.py): add unit tests for token limit utilities and state management
* chore: refactor code for improved readability and maintainability
- Standardize variable naming conventions for consistency.
- Improve logging messages for better clarity and debugging.
- Remove unnecessary imports and clean up code structure.
- Enhance error handling and logging in various modules.
- Update comments and docstrings for better understanding.
- Optimize imports and organize them logically.
- Ensure consistent formatting across files for better readability.
- Refactor functions to reduce complexity and improve performance.
- Add missing type hints and annotations for better code clarity.
- Improve test coverage and organization in test files.
style(tests): apply consistent formatting and spacing in test files for improved readability and maintainability
* chore(tests): remove redundant test for ensure_tables_created with no models to streamline test suite and reduce maintenance overhead
* fix(memory.py): update is_binary_file function to correctly identify binary files by returning True for non-text mime types
AI Christianson
Ariel Frischer