- Add `language_model` field to robot data structures for LLM connector overrides.
- Update `AgentCaller` to utilize the robot's language model and include logging capabilities for agent calls.
- Refactor task execution to log task outputs and inputs, improving observability during execution.
- Modify tests to accommodate changes in the runner initialization and ensure proper logging functionality.
- Implement V2 execution model in the standard executor, simplifying task execution to a single call without validation loops.
- Introduce support for resuming suspended executions, allowing for human input during task processing.
- Enhance event handling by pushing task completion and failure events to the event bus for better tracking and integration.
- Update tests to reflect changes in execution flow and ensure robust handling of task statuses and results.
- Added `Name` and `CurrentTaskName` fields to the `Execution` struct for improved UI display during execution phases.
- Implemented localization support for UI messages, allowing dynamic updates based on the execution context and user locale.
- Updated the executor to manage these fields at various phases, ensuring accurate representation of execution status.
- Enhanced OpenAPI documentation to reflect the new fields and their usage in execution responses.
- Added unit tests to validate the functionality of UI fields and localization handling.
- Modified the DeliveryResult structure across multiple executors to include RequestID and Content fields, providing detailed summaries and bodies for dry-run, sandbox, and standard deliveries.
- Updated related test cases to reflect changes in the DeliveryResult structure, ensuring accurate validation of delivery types and content handling.
- Revised input formatting to display delivery summaries instead of types, improving clarity in execution summaries.
- Introduced a new method to format available resources, improving clarity on the tools and agents accessible to the robot.
- Updated the RunGoals and RunInspiration methods to include resource information in user prompts, ensuring achievable goals and insights.
- Revised error messages in the executor to provide more context, enhancing debugging capabilities.
- Added comprehensive tests for the new resource formatting functionality and updated existing tests to reflect changes in error handling.
- Improved documentation for robot configuration, emphasizing the importance of available resources in goal and task generation.
- Introduced a structured Goals type with delivery metadata for improved task management and output handling.
- Updated the DeliveryTarget type to include additional fields for recipients, format, and options, enhancing flexibility in result delivery.
- Enhanced the Executor's RunGoals method to parse and handle delivery information from agent responses.
- Revised input formatting to include robot identity context, improving clarity in generated goals.
- Updated tests to validate the new structure and ensure comprehensive coverage of delivery functionalities.
- 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.
