feat: enhance AI agent functionality with tool management and logging improvements
- Added AllowedToolCodes field to Context for managing tool access. - Introduced ResumeSource in aiReplyTraceData to track resume points. - Enhanced logging with additional fields: PlannedSkillName, SkillRouteTrace, InterruptType, ResumeSource, and FinalStatus. - Implemented functions to parse and resolve allowed tool codes for agents and skills. - Refactored skill definition creation and update logic to streamline request handling. - Updated MCP tool catalog to include source type and integrated built-in tools. - Improved UI components to display additional tool information and enhance user experience.
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@@ -46,9 +46,14 @@ type AgentRunLogResponse struct {
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UserMessage string `json:"userMessage"`
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PlannedAction string `json:"plannedAction"`
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PlannedSkillCode string `json:"plannedSkillCode"`
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PlannedSkillName string `json:"plannedSkillName"`
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SkillRouteTrace string `json:"skillRouteTrace"`
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PlannedToolCode string `json:"plannedToolCode"`
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PlanReason string `json:"planReason"`
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InterruptType string `json:"interruptType"`
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ResumeSource string `json:"resumeSource"`
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FinalAction string `json:"finalAction"`
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FinalStatus string `json:"finalStatus"`
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ReplyText string `json:"replyText"`
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ErrorMessage string `json:"errorMessage"`
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LatencyMs int64 `json:"latencyMs"`
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