* 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
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
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
refactor(ra_aid/__init__.py): reorganize imports for better readability
refactor(ra_aid/__main__.py): clean up imports and improve structure
refactor(ra_aid/agent_utils.py): streamline imports and improve organization
refactor(ra_aid/agents/ciayn_agent.py): enhance code structure and readability
refactor(ra_aid/chat_models/deepseek_chat.py): tidy up imports for clarity
refactor(ra_aid/config.py): maintain consistent formatting and organization
refactor(ra_aid/console/__init__.py): improve import structure for clarity
refactor(ra_aid/console/cowboy_messages.py): enhance code readability
refactor(ra_aid/console/formatting.py): clean up formatting functions for consistency
refactor(ra_aid/console/output.py): improve output handling for better clarity
refactor(ra_aid/dependencies.py): enhance dependency checking structure
refactor(ra_aid/env.py): streamline environment validation logic
refactor(ra_aid/exceptions.py): improve exception handling structure
refactor(ra_aid/file_listing.py): enhance file listing functionality
refactor(ra_aid/llm.py): improve language model initialization logic
refactor(ra_aid/logging_config.py): tidy up logging configuration
refactor(ra_aid/models_tokens.py): maintain consistent formatting
refactor(ra_aid/proc/interactive.py): enhance subprocess handling
refactor(ra_aid/project_info.py): improve project information handling
refactor(ra_aid/project_state.py): streamline project state management
refactor(ra_aid/provider_strategy.py): enhance provider validation logic
refactor(ra_aid/tests/test_env.py): improve test structure and readability
refactor(ra_aid/text/__init__.py): maintain consistent import structure
refactor(ra_aid/text/processing.py): enhance text processing functions
refactor(ra_aid/tool_configs.py): improve tool configuration structure
refactor(ra_aid/tools/__init__.py): tidy up tool imports for clarity
refactor(ra_aid/tools/agent.py): enhance agent tool functionality
refactor(ra_aid/tools/expert.py): improve expert tool handling
refactor(ra_aid/tools/file_str_replace.py): streamline file string replacement logic
refactor(ra_aid/tools/fuzzy_find.py): enhance fuzzy find functionality
refactor(ra_aid/tools/handle_user_defined_test_cmd_execution.py): improve test command execution logic
refactor(ra_aid/tools/human.py): enhance human interaction handling
refactor(ra_aid/tools/list_directory.py): improve directory listing functionality
refactor(ra_aid/tools/memory.py): streamline memory management functions
refactor(ra_aid/tools/programmer.py): enhance programming task handling
refactor(ra_aid/tools/read_file.py): improve file reading functionality
refactor(ra_aid/tools/reflection.py): maintain consistent function structure
refactor(ra_aid/tools/research.py): enhance research tool handling
refactor(ra_aid/tools/ripgrep.py): improve ripgrep search functionality
refactor(ra_aid/tools/ripgrep.py): enhance ripgrep search command handling
refactor(ra_aid/tools/ripgrep.py): improve search result handling
refactor(ra_aid/tools/ripgrep.py): streamline search parameters handling
refactor(ra_aid/tools/ripgrep.py): enhance error handling for search operations
refactor(ra_aid/tools/ripgrep.py): improve output formatting for search results
refactor(ra_aid/tools/ripgrep.py): maintain consistent command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search result display
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(ra_aid/tools/ripgrep.py): enhance search command execution logic
refactor(ra_aid/tools/ripgrep.py): improve search command output formatting
refactor(ra_aid/tools/ripgrep.py): streamline search command construction
refactor(ra_aid/tools/ripgrep.py): enhance search command error handling
refactor(ra_aid/tools/ripgrep.py): improve search command output handling
refactor(ra_aid/tools/ripgrep.py): maintain consistent search command structure
refactor(
style(server.ts): update variable naming from lowercase 'port' to uppercase 'PORT' for consistency and clarity
feat(server.ts): allow server to listen on a configurable port using process.env.PORT or default to PORT
style(shell.py): reorder import statements for better organization and readability
style(shell.py): remove unnecessary blank lines for cleaner code
style(web_search_tavily.py): reorder import statements for better organization
style(write_file.py): format code for consistency and readability
style(extract_changelog.py): format code for consistency and readability
style(generate_swebench_dataset.py): format code for consistency and readability
style(test_ciayn_agent.py): format code for consistency and readability
style(test_cowboy_messages.py): format code for consistency and readability
style(test_interactive.py): format code for consistency and readability
style(test_agent_utils.py): format code for consistency and readability
style(test_default_provider.py): format code for consistency and readability
style(test_env.py): format code for consistency and readability
style(test_llm.py): format code for consistency and readability
style(test_main.py): format code for consistency and readability
style(test_programmer.py): format code for consistency and readability
style(test_provider_integration.py): format code for consistency and readability
style(test_tool_configs.py): format code for consistency and readability
style(test_utils.py): format code for consistency and readability
style(test_execution.py): format code for consistency and readability
style(test_expert.py): format code for consistency and readability
style(test_file_str_replace.py): format code for consistency and readability
style(test_fuzzy_find.py): format code for consistency and readability
style(test_handle_user_defined_test_cmd_execution.py): format code for consistency and readability
style(test_list_directory.py): format code for consistency and readability
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* feat: add research and planner provider/model options to enhance configurability for research and planning tasks
refactor: create get_effective_model_config function to streamline provider/model resolution logic
test: add unit tests for effective model configuration and environment validation for research and planner providers
* refactor(agent_utils.py): remove get_effective_model_config function to simplify code and improve readability
style(agent_utils.py): format debug log statements for better readability
fix(agent_utils.py): update run_agent functions to directly use config without effective model config
feat(agent_utils.py): enhance logging for command execution in programmer.py
test(tests): remove tests related to get_effective_model_config function as it has been removed
* chore(tests): remove outdated tests for research and planner agent configurations to clean up the test suite and improve maintainability
* style(tests): apply consistent formatting and spacing in test_provider_integration.py for improved readability and maintainability
* chore: Add DeepSeek provider environment variable support in env.py
* feat: Add DeepSeek provider validation strategy in provider_strategy.py
* feat: Add support for DEEPSEEK provider in initialize_llm function
* feat: Create ChatDeepseekReasoner for custom handling of R1 models
* feat: Configure custom OpenAI client for DeepSeek API integration
* chore: Remove unused json import from deepseek_chat.py
* refactor: Simplify invocation_params and update acompletion_with_retry method
* feat: Override _generate to ensure message alternation in DeepseekReasoner
* feat: Add support for ChatDeepseekReasoner in LLM initialization
* feat: Use custom ChatDeepseekReasoner for DeepSeek models in OpenRouter
* fix: Remove redundant condition for DeepSeek model initialization
* feat: Add DeepSeek support for expert model initialization in llm.py
* feat: Add DeepSeek model handling for OpenRouter in expert LLM initialization
* fix: Update model name checks for DeepSeek and OpenRouter providers
* refactor: Extract common logic for LLM initialization into reusable methods
* test: Add unit tests for DeepSeek and OpenRouter functionality
* test: Refactor tests to match updated LLM initialization and helpers
* fix: Import missing helper functions to resolve NameError in tests
* fix: Resolve NameError and improve environment variable fallback logic
* feat(readme): add DeepSeek API key requirements to documentation for better clarity on environment variables
feat(main.py): include DeepSeek as a supported provider in argument parsing for enhanced functionality
feat(deepseek_chat.py): implement ChatDeepseekReasoner class for handling DeepSeek reasoning models
feat(llm.py): add DeepSeek client creation logic to support DeepSeek models in the application
feat(models_tokens.py): define token limits for DeepSeek models to manage resource allocation
fix(provider_strategy.py): correct validation logic for DeepSeek environment variables to ensure proper configuration
chore(memory.py): refactor global memory structure for better readability and maintainability in the codebase
* feat(agent_utils.py): add get_model_token_limit function to retrieve token limits for models based on provider and model name
feat(models_tokens.py): create models_tokens module to store token limits for various models and providers
test(agent_utils.py): implement unit tests for get_model_token_limit and create_agent functions to ensure correct behavior and error handling
* test: Add unit tests for token limiting and agent creation functionality
* fix: Correct indentation and add missing test function for error handling
* fix: Update test assertion to use messages_modifier instead of state_modifier
* feat(agent_utils.py): add limit_tokens function to manage message token limits and preserve system message
fix(agent_utils.py): update get_model_token_limit to handle exceptions and return None on error
fix(ciayn_agent.py): set default max_tokens to DEFAULT_TOKEN_LIMIT in CiaynAgent initialization
feat(models_tokens.py): define DEFAULT_TOKEN_LIMIT for consistent token limit management across agents
style(agent_utils.py): improve code formatting and consistency in function definitions and comments
style(agent_utils.py): refactor imports for better organization and readability
fix(test_agent_utils.py): correct test assertion to use state_modifier instead of messages_modifier for create_agent function
* refactor(agent_utils.py): improve docstring clarity and formatting for limit_tokens function to enhance readability
refactor(test_agent_utils.py): format test assertions for consistency and readability in agent creation tests
* feat: Update limit_tokens function to support Dict type for state parameter
* feat: Update limit_tokens to handle both list and dict input types
* refactor: Extract duplicate token trimming logic into helper function
* refactor: Rename and update message trimming functions for clarity
* refactor: Extract agent kwargs logic into a helper method for reuse
* refactor: Rename _build_agent_kwargs to build_agent_kwargs for clarity
* fix: Ensure state_modifier is passed correctly for agent creation
* test: Add tests for create_agent token limiting configuration
* refactor: Simplify CiaynAgent instantiation to only use max_tokens parameter
* refactor: Remove is_react_agent parameter from build_agent_kwargs function
* test: Fix test assertions for state_modifier in agent creation tests
* fix: Update agent creation to handle checkpointer and simplify tests
* test: Remove unnecessary assertions from agent creation test
* feat: Implement token limiting configuration for create_agent function
* refactor: Remove unused model info and token limit retrieval code
* test: Fix assertion errors in agent creation tests and update state_modifier handling
* test: Remove commented-out code and clarify assertions in tests
* test: Fix assertion in test_create_agent_anthropic_token_limiting_disabled
* feat(main.py): add --limit-tokens argument to control token limiting in agent state
fix(main.py): include limit_tokens in configuration to ensure proper state management
* test: Refactor agent creation tests for improved readability and consistency
* test: Modify error handling in create_agent test to use side_effect on get_model_token_limit
* test: Improve error handling in create_agent test to verify fallback behavior
* test: Trigger exception on get_model_token_limit in error handling test
* refactor(agent_utils.py): remove unused config parameter from create_agent function to simplify the function signature
fix(agent_utils.py): ensure config is always retrieved from _global_memory with a default value to prevent potential errors
test(tests/test_agent_utils.py): remove outdated test for create_agent error handling to clean up the test suite
* feat: Add debug print for agent_kwargs in create_agent function
* refactor: Replace lambda with inner function for state_modifier in agent_utils
* refactor: Simplify limit_tokens function to return only message sequences
* feat: Add debug print statements to show token trimming details in trim_messages
* PAIN
* feat(main.py): add debug print statement for args.chat to assist in troubleshooting chat mode
feat(agent_utils.py): implement estimate_messages_tokens function to calculate total tokens in messages
refactor(agent_utils.py): replace token counting logic in trim_messages_with_removal with estimate_messages_tokens for clarity
refactor(agent_utils.py): modify state_modifier to accept model and max_tokens parameters for better flexibility
refactor(agent_utils.py): update build_agent_kwargs to pass model to state_modifier for improved functionality
* feat: Add .direnvrc to manage Python virtual environment activation
* refactor: Update state_modifier to handle first message token count and trim messages
* chore: remove unused .direnvrc file to clean up project structure
feat: add .envrc to .gitignore to prevent environment configuration file from being tracked
fix: update help text for --disable-limit-tokens argument for clarity
refactor: clean up imports in agent_utils.py for better readability
refactor: remove unused functions and comments in agent_utils.py to streamline code
test: add unit tests for state_modifier function to ensure correct message trimming behavior
* refactor: Remove commented-out code in create_agent function
* feat: Add is_anthropic_claude method to check provider and model name
* fix: Correct search/replace block to match existing lines in agent_utils.py
* fix(main.py): update help text for --disable-limit-tokens argument to clarify it applies to react agents
refactor(agent_utils.py): streamline token limit retrieval and improve readability by removing redundant checks and restructuring code
refactor(agent_utils.py): modify build_agent_kwargs to use is_anthropic_claude for clarity and maintainability
* test: Update tests to pass config argument to get_model_token_limit()
* refactor(agent_utils.py): remove unnecessary print statements and improve function signatures for clarity
refactor(agent_utils.py): consolidate provider and model_name retrieval into config parameter for better maintainability
* test: Remove redundant token limiting tests from agent creation logic
* test: Refactor test_state_modifier to use mock_messages fixture
* test(tests): update test description for clarity on state_modifier behavior and use mock_messages for assertions to ensure consistency
* refactor(agent_utils.py): simplify token limit retrieval by removing unnecessary variable initialization and defaulting to None in get method
* chore(main.py): remove debug print statement for args.chat to clean up output
Ariel Frischer
AI Christianson
user
Jose M Leon
arthrod