docs(README.md): enhance documentation with installation, configuration, and usage guides
docs(contributing.md): create a contributing guide to encourage community involvement
docs(getting-help.md): add a section for reporting issues and community support
docs(quickstart): reorganize and enhance quickstart documentation for better clarity
style(docusaurus.config.ts): update footer copyright and GitHub link for accuracy
fix(models_params.py): add default base latency parameter for model configurations
feat(usage): add usage examples for creating games and modern web apps with RA.Aid
chore(remove): delete outdated quickstart and tutorial files to streamline documentation
refactor(ciayn_agent.py): improve error handling by chaining exceptions for better debugging
docs(output.py): update docstring to include agent_type parameter for clarity on agent behavior
fix(ciayn_agent.py): update fallback tool error messages to use FallbackToolExecutionError for better error handling
fix(config.py): remove unnecessary blank line to maintain code style consistency
fix(fallback_handler.py): raise FallbackToolExecutionError for better error clarity when tools are not found
fix(llm.py): set default temperature to 0.7 and notify user when not provided for models that support it
test(test_llm.py): update tests to check for default temperature behavior and improve error messages for unsupported providers
- 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
style(tests): format code for better readability and consistency in test files
test(tests): update assertions and test cases for better clarity and maintainability
Ariel Frischer
AI Christianson