- Updated the ExecutionRecord structure in TECHNICAL.md to include new fields such as ExecutionID and improved status tracking with cancellation support.
- Revised the ExecutionStore implementation in store/execution.go to add methods for updating execution status and current state, as well as deleting records.
- Marked the completion of the execution record model in TODO.md, reflecting the integration of new features and ensuring comprehensive tracking of execution history.
- Updated bindata.go and model.go to include the new execution model, enhancing the overall architecture for better data management.
- Revised DESIGN.md to update the DeliveryRequest structure, replacing exec_id with member_id and adding context for execution_id and trigger.
- Expanded TECHNICAL.md to clarify the DeliveryContext structure, including detailed comments on RobotID and MemberID for better understanding of their roles.
- Updated TODO.md to reflect changes in the execution record model, ensuring accurate tracking of the new fields and their implications for delivery processes.
- Enhanced documentation to improve clarity on the updated context and execution tracking, facilitating better developer understanding and implementation.
- Revised DESIGN.md to incorporate support for multiple delivery targets across email, webhook, and process channels, enhancing the flexibility of the delivery system.
- Expanded TECHNICAL.md with detailed descriptions of the new DeliveryPreferences structure, including EmailPreference, WebhookPreference, and ProcessPreference, to clarify their configurations and usage.
- Updated TODO.md to reflect the integration of multiple targets in delivery preferences, ensuring comprehensive tracking of the ongoing enhancements in the delivery architecture.
- Enhanced documentation to outline the new delivery channels and their configurations, improving clarity and usability for developers and users.
- Revised DESIGN.md to clarify the architecture of the P4 delivery process, emphasizing the separation of content generation and channel decision-making.
- Expanded TECHNICAL.md with detailed notes on the DeliveryRequest structure, DeliveryContent generation, and the role of the Delivery Center in managing delivery channels.
- Updated TODO.md to reflect the completion of the Delivery Agent setup and the integration of delivery preferences, ensuring comprehensive tracking of the P4 implementation progress.
- Enhanced documentation to outline the new delivery channels and their configurations, including email and webhook options, for improved clarity and usability.
- Marked the P3 Run Implementation as complete in TODO.md, reflecting the successful integration of task execution and validation.
- Updated the status of tests related to the ContinueOnFailure option, indicating their completion with detailed test cases for various execution scenarios.
- Enhanced run_test.go with new tests to validate the behavior of task execution under different ContinueOnFailure configurations, ensuring robust error handling and task management.
- Revised the RunExecution method to accept configuration data, improving flexibility in execution parameters.
- Revised DESIGN.md to clarify the architecture of the P3 entry point, including updated RunConfig parameters and task execution flow.
- Expanded TECHNICAL.md with detailed implementation notes on multi-turn conversation flow, validation rules format, task dependencies, and resource management.
- Removed outdated architecture diagrams from TODO.md and added comprehensive notes on the new multi-turn conversation handling and validation mechanisms.
- Documented the functionality of the new `yao/assert` package and its integration into the validation process.
- Marked several tests as completed, including those for task execution order, status updates, and validation logic.
- Added new tests for multi-turn conversation flow and error handling in the Runner tests.
- Updated the Validator tests to include scenarios for natural language rules and semantic validation.
- Revised the TODO section to outline future testing needs, specifically for the ContinueOnFailure option.
- Updated the `RunConfig` to include parameters for multi-turn conversation control, such as `ContinueOnFailure`, `ValidationThreshold`, and `MaxTurnsPerTask`.
- Implemented a new multi-turn conversation flow for assistant tasks, allowing for iterative interactions until completion or maximum turns are reached.
- Enhanced the `ValidationResult` structure to support multi-turn states, including fields for `Complete`, `NeedReply`, and `ReplyContent`.
- Refined the `ExecuteWithRetry` method to accommodate the new conversation flow, ensuring proper handling of task execution and validation.
- Revised the `Validator` to include logic for determining when to continue conversations based on validation results.
- Updated documentation and tests to reflect the new multi-turn capabilities and validation mechanisms, ensuring comprehensive coverage of the changes.
- Completed the implementation of the P3 Run phase, integrating task execution and validation mechanisms.
- Introduced a new `RunConfig` struct to manage execution parameters such as retries and validation thresholds.
- Developed a two-layer validation system using the new `yao/assert` package, supporting both natural language and structured JSON rules.
- Enhanced the `RunExecution` method to execute tasks sequentially with progress tracking and a retry mechanism for validation failures.
- Updated task structures to include comprehensive validation rules and expected outputs, ensuring robust task management.
- Added unit tests for the new execution and validation features, achieving high test coverage across the implementation.
- Revised documentation to reflect changes in the architecture and functionality of the P3 phase.
- Marked P1 Goals and P2 Tasks as completed in TODO.md, reflecting the successful implementation of goal generation and task planning functionalities.
- Updated the input formatter to include delivery target details in the goal output, ensuring tasks are designed for appropriate delivery methods.
- Enhanced the RunTasks method to validate goals and parse tasks from agent responses, including comprehensive error handling and task validation.
- Added unit tests for new task parsing and validation features, ensuring robust coverage of task generation and execution scenarios.
- Revised documentation to clarify the integration of validation rules and expected outputs in task management.
- Introduced multiple executor modes (Standard, DryRun, Sandbox) to accommodate various use cases, enhancing flexibility in execution strategies.
- Updated DESIGN.md to reflect the new executor modes and their respective use cases, including detailed descriptions and configuration examples.
- Revised TECHNICAL.md to outline the new executor package structure, emphasizing the modular design for future enhancements.
- Enhanced the TODO.md to track the progress of executor mode implementations and related tasks.
- Removed outdated executor stub files and tests, streamlining the codebase for improved maintainability.
- Updated integration tests to utilize the new DryRun executor, ensuring comprehensive coverage of execution scenarios without real agent calls.
- Added a User-Agent header to HTTP requests in the OpenAI provider to improve request identification.
- Updated TODO.md to reflect the completion status of various agent configurations and test scenarios, marking several tasks as done.
- Ensured all relevant agents and expert configurations are now marked as complete, enhancing clarity on project progress.
- Introduced a validation mechanism for task results, including a detailed validation structure with scores and issues.
- Updated the input formatter to include validation results in the output, improving clarity on task success and validation status.
- Enhanced test cases to cover the new validation fields and ensure comprehensive testing of task results.
- Revised TODO.md to reflect the addition of validation features and the current status of the agent's development phases.
- Established a unified calling mechanism for agents, enabling streaming support and multi-turn conversations.
- Developed input formatters for various phases, ensuring proper data preparation for assistant prompts.
- Created test assistants for single and multi-turn interactions, along with comprehensive test cases for the AgentCaller and InputFormatter.
- Updated the TODO.md to reflect the new structure and progress of the agent call infrastructure, including future phases for assistant setup and implementation.
- Marked Phase 3 of the scheduling system as complete in TODO.md, highlighting the successful implementation of all sub-tasks and the passing of over 80 integration tests.
- Updated the integration test section to reflect completed tests for various triggers and execution scenarios, ensuring comprehensive coverage of the scheduling pipeline.
- Added new test files for core scheduling flow, clock trigger modes, human intervention, event triggers, concurrent executions, and control tests, enhancing overall test coverage and stability.
- Improved assertions in existing tests to utilize the Eventually pattern for better handling of timing variations in CI environments.
- Marked the Executor Stub Enhancement section in TODO.md as complete, detailing the enhancements made to the executor's functionality.
- Improved the Executor to simulate full execution with Job integration, including phase transitions and logging.
- Introduced a Config struct for customizable executor behavior, allowing for testing with callbacks and job integration control.
- Implemented phase-specific methods for modular execution, preparing for future real phase implementations.
- Added comprehensive tests for the executor, including smoke tests and verification of phase progression and job logs.
- Updated progress tracking in TODO.md to reflect the current status of the executor and integration testing.
- Marked the Job Integration section in TODO.md as complete, detailing the implementation of job creation, execution lifecycle, and logging functionalities.
- Introduced a new Options struct for job creation, allowing for extensibility with fields like Priority, MaxRetryCount, and Metadata.
- Implemented methods for job status updates, including handling for completed, failed, and cancelled states, with corresponding updates to job configurations.
- Enhanced localization support for job names and logs, ensuring better usability across different languages.
- Updated tests for job creation, execution tracking, and logging, achieving full test coverage with all tests passing.
- Reflected changes in the job model to include new statuses and improved handling of job execution states.
- Integrated trigger handling directly into the Manager, consolidating the logic for clock, human intervention, and event triggers.
- Updated the Manager to include methods for processing human interventions and event triggers, ensuring robust execution control.
- Refactored the trigger package to provide validation and utility functions, enhancing the overall structure and clarity of trigger-related logic.
- Improved documentation and comments throughout the Manager and trigger implementations for better understanding and maintainability.
- Updated tests to cover new functionalities, ensuring comprehensive validation of the Manager's behavior with various trigger types.
- Completed the Manager implementation, including methods for starting, stopping, and managing clock triggers for robot executions.
- Integrated context handling for background operations and added synchronization to ensure thread safety.
- Updated the TODO.md to reflect the completion of the Manager implementation and outlined the next steps for the Trigger and Dedup functionalities.
- Enhanced the Tick method to process clock triggers and submit jobs to the pool based on robot configurations.
- Added detailed comments and documentation for clarity on the Manager's functionality and its components.
- Marked the Pool Implementation as complete in TODO.md, confirming all tasks are finished with comprehensive tests.
- Introduced a configurable worker pool with a priority queue for managing robot jobs, including graceful shutdown support.
- Enhanced the Executor with simulated execution delay and callback functionality for testing, tracking execution counts.
- Improved error handling in the pool's submission process and added methods for retrieving running and queued job counts.
- Updated tests to ensure robust functionality and performance of the pool and executor components.
- Marked the Cache Implementation as complete in TODO.md, confirming all tasks are finished with comprehensive integration tests.
- Updated cache.go to provide a thread-safe in-memory cache for Robot instances, improving performance and reliability.
- Enhanced the Load method to include pagination and configurable model name, ensuring efficient data handling.
- Added detailed comments and structured code for better readability and maintainability across the cache implementation.
- Improved validation and error handling in various utility functions to ensure robustness in data processing.
- Marked Phase 1: Types & Interfaces as complete with 88.4% test coverage and all tests passing.
- Updated Phase 2: Skeleton Implementation status to complete, confirming all packages compile successfully without circular dependencies.
- Checked off all tasks under both phases, indicating full implementation of types, interfaces, and skeleton structures.
- Updated the Task struct in DESIGN.md to replace the Messages field with a new Input field, allowing for more flexible user input options.
- Revised the TriggerRequest struct in TECHNICAL.md to incorporate the new Input field, improving clarity on user interactions.
- Enhanced related code examples and documentation to reflect these changes, ensuring consistency in task management and execution processes.
