- Add new versioned documentation for RA.Aid project.
- Include installation instructions, quick starts, and markdown features.
- Add configuration files for Docusaurus setup.
- Introduce new images and logos for branding.
- Create a sidebar for better navigation in documentation.
- Implement a .gitignore file for the docs directory to exclude unnecessary files.
feat(docs): add SVG illustrations for Docusaurus documentation to enhance visual appeal
feat(docs): create tsconfig.json for improved TypeScript support in Docusaurus
fix(pyproject.toml): update dependencies to latest versions for better compatibility and features
fix(__main__.py): improve expert provider selection logic based on available API keys
feat(llm.py): implement function to fetch available OpenAI models and select expert model
fix(file_listing.py): enhance file listing functionality to include hidden files option and improve error handling
fix(deepseek_chat.py): add timeout and max_retries parameters to ChatDeepseekReasoner initialization
fix(version.py): bump version to 0.14.1 for release readiness
feat(models_params.py): add default_temperature to model parameters for consistency and configurability
refactor(interactive.py): enhance run_interactive_command to support expected runtime and improve output capture
fix(prompts.py): update instructions to clarify file modification methods
refactor(provider_strategy.py): streamline expert model selection logic for clarity and maintainability
chore(tool_configs.py): update tool imports to reflect changes in write_file functionality
refactor(agent.py): enhance LLM initialization to include temperature and improve error handling
feat(memory.py): normalize file paths in emit_related_files to prevent duplicates
feat(programmer.py): add get_aider_executable function to retrieve the aider executable path
test: add comprehensive tests for new features and refactor existing tests for clarity and coverage
feat(ciayn_agent): implement fallback mechanism in CiaynAgent to handle tool call failures and switch to alternative models
feat(__main__): add command line arguments for fallback configuration in the main application
feat(llm): add validation for required environment variables for LLM providers and merge chat histories during fallback
fix(config): define default values for maximum tool failures in configuration
test(ciayn_agent): add unit tests for fallback logic and tool call execution with retries and error handling
test(llm): enhance tests for LLM initialization and environment variable validation
fix: ensure proper error handling and logging in WebSocket connections
feat: enhance WebSocket server to handle streaming and error messages more effectively
chore: update model parameters and configurations for better performance and maintainability
test: improve test coverage for model token limits and agent creation logic
Ariel Frischer
AI Christianson