feat(ciayn_agent.py): implement chat_history in CiaynAgent for improved context management during tool execution
refactor(ciayn_agent.py): streamline fallback response handling and logging for better clarity and maintainability
refactor(agent_utils.py): update _run_agent_stream to utilize agent type for output printing
fix(ciayn_agent.py): modify _execute_tool to handle BaseMessage and improve error reporting
feat(ciayn_agent.py): add extract_tool_name method to identify tool names from code
chore(agents_alias.py): create agents_alias module to avoid circular imports and define RAgents type
refactor(config.py): remove direct import of CiaynAgent and update RAgents definition
fix(output.py): update print_agent_output to accept agent type for better error handling
fix(exceptions.py): add CiaynToolExecutionError for distinguishing tool execution failures
refactor(fallback_handler.py): improve logging and error handling in fallback mechanism
feat(fallback_handler.py): enhance fallback handling by allowing RAgents type and improving error handling
fix(config.py): update RAgents type definition to include both CompiledGraph and CiaynAgent for better type safety
refactor(fallback_handler.py): streamline fallback model invocation and response handling for improved readability and functionality
refactor(fallback_handler.py): change failed_messages from set to list for ordered message handling
refactor(fallback_handler.py): update handle_failure method to accept ToolExecutionError type for better type safety
refactor(fallback_handler.py): implement _reset_on_new_failure method to encapsulate failure reset logic
feat(fallback_handler.py): add construct_prompt_msg_list method to create structured message list for fallback tool calls
feat(fallback_handler.py): enhance handle_failure method to extract tool name from ToolExecutionError and improve fallback logic
fix(exceptions.py): update ToolExecutionError to include base_message for better error context
feat(output.py): add base_message to ToolExecutionError for improved debugging
chore(tool_configs.py): update get_all_tools function to specify return type
style(logging_config.py): reorder imports for consistency
test(tests): add tests for new error handling and fallback logic in agent_utils and fallback_handler
refactor(fallback_handler.py): extract tool call extraction logic into a separate method for better organization and maintainability
refactor(fallback_handler.py): introduce _parse_tool_arguments method to handle argument parsing, improving code clarity and reusability
refactor(fallback): streamline fallback model selection and invocation process for improved maintainability
fix(config): reduce maximum tool failures from 3 to 2 to tighten error handling thresholds
style(console): improve error message formatting and logging for better clarity and debugging
chore(main): remove redundant fallback tool model handling from main function to simplify configuration management
feat(agent_utils.py): add new helper functions for handling API errors and managing interrupt signals
fix(agent_utils.py): improve error handling in tool execution and retry logic
feat(fallback_handler.py): enhance fallback handling by binding tools correctly during retries
test(tests): add unit tests for new helper functions and refactored logic in agent_utils.py
to configure retry behavior for fallback models
refactor(fallback_handler.py): enhance fallback handling logic to
support both prompt-based and function-calling fallbacks with retries
fix(fallback_handler.py): update fallback model selection to return
dictionaries for better structure and access to model properties
refactor(ciayn_agent): integrate FallbackHandler into CiaynAgent for improved failure handling
fix(agent_utils): add missing newline for better readability in run_agent_with_retry function
test(fallback_handler): add unit tests for FallbackHandler to ensure correct failure handling and fallback logic
refactor(ciayn_agent): restructure tool failure handling to track consecutive failures and fallback attempts more effectively
fix(logging): add pretty logging option for improved log readability
chore(config): define valid providers for LLM selection and update fallback model loading logic
test(ciayn_agent): add unit tests for fallback logic and tool failure handling to ensure reliability and correctness
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
* FEAT webui to run RA.Aid from a browser
* FEAT startin webui from ra-aid cmd
* FEAT updating readme
* FEAT adding ADR for webui
* FEAT marking webui as alpha feature
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
fix(agent_utils.py): rename max_tokens to max_input_tokens for clarity in state_modifier function
fix(models_tokens.py): update deepseek-reasoner token limit to 64000 for accuracy
test(agent_utils.py): add tests for litellm integration and fallback logic in get_model_token_limit function
* 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(main.py): add --aider-config argument to specify aider config file path for better configuration management
feat(programmer.py): include aider config in command if specified to enhance functionality
test: add unit test for aider config flag inclusion in command to ensure correct behavior
chore: update requirements-dev.txt to include pytest-mock for testing enhancements
* test(tests/ra_aid/test_programmer.py): remove unnecessary comments to improve code readability and maintainability
* test: Add unit tests for argument parsing in __main__.py
* test: Update tests to remove invalid argument and improve error handling
* test: Fix test_missing_message to handle missing argument cases correctly
* test: Fix test_missing_message to reflect argument parsing behavior
* test: Combine recursion limit tests and verify global config updates
* fix: Include recursion_limit in config for recursion limit tests
* test: Mock dependencies and validate recursion limit in global config
* test: Remove commented-out code and clean up test_main.py
* test: Remove self-evident comments and improve test assertions in test_main.py
* fix: Mock user input and handle temperature in global config tests
* fix: Fix test failures by correcting mock targets and handling temperature
* test: Update temperature validation to check argument passing to initialize_llm
* fix: Correct mock for ask_human and access kwargs in temperature test
* fix: Patch the entire ask_human function in test_chat_mode_implies_hil
* docs: Add recursion limit option to README documentation
* docs: Update README.md with all available command line arguments
* feat(config): add DEFAULT_RECURSION_LIMIT constant to set default recursion depth
feat(main.py): add --recursion-limit argument to configure maximum recursion depth for agent operations
fix(main.py): validate that recursion limit is positive before processing
refactor(main.py): use args.recursion_limit in agent configuration instead of hardcoded value
refactor(agent_utils.py): update agent configuration to use recursion limit from global memory or default value
refactor(run_research_agent): clean up comments and improve readability
refactor(run_web_research_agent): clean up comments and improve readability
refactor(run_planning_agent): clean up comments and improve readability
refactor(run_task_implementation_agent): clean up comments and improve readability
delete(test_main.py): remove obsolete test for chat mode and HIL configuration
* 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
* Correcting URL for github; ra-aid.git -> RA.Aid.git
* Additional fix to cloning instructions
* Initial draft of tweaks to add macOS compatibility
* Changing LS test to check for not-zero instead of specific error code
* Further macOS compatibility tweaks - dealing with mystery control characters
* Additional compatibility for macOS - flag as macOS, and detect and change command based it
* Removing unneeded variable
- Refactored related files storage to use dictionary with integer IDs as keys
- Added related_file_id_counter for generating unique file IDs
- Updated get_related_files() to return formatted strings with IDs
- Added delete_related_files() function for removing files by ID
- Maintained duplicate file path handling to preserve original IDs
- All tests passing
AI Christianson
Ariel Frischer
Jose M Leon
Benedikt Terhechte
arthrod
agentmarketbot
Guillermo Creus Botella
Will
user
AI Christianson