Commit Graph

23 Commits

Author SHA1 Message Date
mlogclub 847f688398 Refactor AI Agent configuration and workflow handling
- Removed runtime mode handling from AIAgentConfigWorkbench and related components.
- Updated tests to reflect changes in AI Agent policy copy and configuration.
- Changed terminology from "workflow" to "revision" in various components and API responses.
- Simplified agent binding logic in channel editing.
- Cleaned up unused variables and types related to runtime modes.
- Updated localization files for consistency with new terminology.
2026-07-27 23:29:02 +08:00
mlogclub e072141953 新版本流程编辑器 2026-07-27 19:04:15 +08:00
mlogclub 05eb85167c refactor: enhance AI workflow management with restore version and usage tracking features 2026-07-25 18:19:59 +08:00
mlogclub 1663db7f24 refactor: remove agent ID references from AI workflow handling and related components 2026-07-25 15:32:55 +08:00
mlogclub 7b86fd1f09 feat: Implement AI Agent Workflow Binding functionality
- 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.
2026-07-25 15:24:49 +08:00
mlogclub 34051a4631 feat: Enhance AI Agent and Channel 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.
2026-07-25 12:04:06 +08:00
mlogclub 805ef87278 refactor: remove knowledge base references from AI agent model and related services
- Removed KnowledgeIDs from CreateAIAgentRequest and AIAgentResponse.
- Updated buildAIAgentResponseWithLocale to eliminate knowledge base name retrieval.
- Refactored AI agent repository and service to remove knowledge base handling.
- Adjusted dashboard service to no longer track AI agents without knowledge bases.
- Modified knowledge base service to check for workflow references instead of AI agent references.
- Updated frontend components to remove knowledge base selection and display.
- Enhanced workflow validation to ensure knowledge retrieve nodes have associated knowledge bases.
2026-06-30 19:47:29 +08:00
mlogclub fa0010e8be feat: enhance ticket draft workflow with new routing and confirmation prompts 2026-06-30 17:26:28 +08:00
mlogclub 9be449c882 feat: add assertions for condition branch and port edge order in workflow tests 2026-06-29 13:58:13 +08:00
mlogclub ca625396a0 feat: enhance condition branch validation by adding port edge checks and updating related functions 2026-06-29 12:00:33 +08:00
mlogclub 75215f7823 feat: update default agent workflow definition with improved node positioning and port handling 2026-06-28 09:42:06 +08:00
mlogclub 689acc997c xyflow change to flowgraam 2026-06-27 21:27:57 +08:00
mlogclub 62fc894f82 feat: add layout validation for default agent workflow in tests 2026-06-25 22:46:40 +08:00
mlogclub 21fd119b27 feat: add conversation understanding and reply policy nodes to workflow executor
- Implemented conversation understanding and reply policy execution in the workflow executor.
- Added new node types: NodeTypeConversationUnderstanding and NodeTypeReplyPolicy.
- Enhanced input and output schemas for the new nodes.
- Updated workflow registry to include new node specifications.
- Created tests for the new workflow routes and behaviors.
- Modified existing workflows to integrate the new conversation understanding and reply policy logic.
2026-06-25 22:38:34 +08:00
mlogclub b806a2208b feat: enhance condition node functionality with branches and validation
- Introduced WorkflowConditionBranch and WorkflowNodeConfig types to manage condition branches in nodes.
- Updated NodeConfigPanel and ConditionNodePanel components to support adding, editing, and deleting branches.
- Implemented validation for condition nodes to ensure at least one branch exists and that default branches are correctly configured.
- Modified workflow-utils to handle condition branches and updated toApiDefinition and fromApiDefinition functions to maintain branch integrity during serialization.
- Removed edge condition handling from WorkflowEditor and related components, simplifying edge management.
- Added tests to ensure condition branches are preserved in API definitions.
2026-06-25 21:08:59 +08:00
mlogclub b7056b59b5 feat: add default workflow definition endpoint and related functionality 2026-06-25 18:50:38 +08:00
mlogclub 34d70e769f feat: enhance AI workflow with new ticket creation and fallback handling logic 2026-06-25 18:28:16 +08:00
mlogclub 46bcc55658 feat: add AI workflow run management with detailed audit items and UI integration 2026-06-24 09:52:00 +08:00
mlogclub 1440c3c4c3 Add AI workflow run management with listing and detail retrieval endpoints, including corresponding response structures and UI integration 2026-06-23 23:05:17 +08:00
mlogclub 560843686b Refactor AIAgent runtime handling and remove unused fields 2026-06-23 08:37:52 +08:00
mlogclub d1f39ae57e feat: Enhance AI Workflow with Variable Contracts and Input Mapping
- 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.
2026-06-22 18:33:39 +08:00
mlogclub 32ab43e7c2 refactor: make AI workflows agent-centric 2026-06-22 10:08:51 +08:00
mlogclub 0127455be5 feat: add AI workflow service foundation 2026-06-22 00:11:26 +08:00