- Added aiAgentWorkflowBindingRepository for managing workflow bindings associated with AI agents.
- Enhanced agentRevisionService to include workflow bindings in agent revisions.
- Updated aIAgentService to handle workflow bindings during agent creation and updates.
- Introduced ai_agent_workflow_binding_service for managing workflow binding logic.
- Created new API endpoints for fetching, creating, updating, and deleting AI workflows.
- Developed a new dashboard page for managing AI workflows.
- Updated frontend components to support workflow binding management in agent configuration.
- Added necessary tests for workflow binding functionality and updated existing tests for compatibility.
- Translated relevant UI texts and messages for workflow management.
- Updated labels in the AI Agents dashboard for clarity, changing "流程状态" to "Playbook 状态" and "未发布流程" to "未发布 Playbook".
- Introduced AI Agent rollout percentage management in channel editing, allowing users to set and rollback rollout percentages.
- Added new API endpoints for rolling back AI Agent rollout and fetching agent run metrics.
- Implemented new UI components for displaying agent run details, including status, duration, and input/output tokens.
- Enhanced type definitions for AdminChannel and AIAgent to include rollout percentages and runtime modes.
- Updated navigation to include a section for agent runs.
- Added new translations for agent run features in both English and Chinese.
- Added ConfigSchema, InputSchema, OutputSchema, and DefaultInputs to AIWorkflowNodeSpecResponse.
- Implemented BuildAIWorkflowNodeSpecs to include variable contracts for start and send_reply nodes.
- Introduced applyAutoInputMappings to automatically map inputs based on node connections.
- Enhanced validation to check for required input mappings in workflows.
- Updated workflow editor to support variable selection for node inputs.
- Translated node names and labels to Chinese for better localization.
- Added tests for variable mapping and validation logic.
mlogclub