Files
ai-agent/internal/services/agent_evaluation_service.go
T
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

34 lines
1.0 KiB
Go

package services
import (
"context"
"fmt"
"agent-desk/internal/pkg/dto/request"
"agent-desk/internal/pkg/dto/response"
"agent-desk/internal/pkg/errorsx"
)
var AgentEvaluationService = newAgentEvaluationService()
var AgentEvaluationRunHook func(context.Context, request.RunAgentEvaluationRequest) (*response.AgentEvaluationReportResponse, error)
type agentEvaluationService struct{}
func newAgentEvaluationService() *agentEvaluationService { return &agentEvaluationService{} }
func (s *agentEvaluationService) Run(ctx context.Context, req request.RunAgentEvaluationRequest) (*response.AgentEvaluationReportResponse, error) {
if req.AIAgentID <= 0 {
return nil, errorsx.InvalidParam("ai agent id is required")
}
if len(req.Cases) == 0 {
return nil, errorsx.InvalidParam("evaluation cases are required")
}
if len(req.Cases) > 100 {
return nil, errorsx.InvalidParam("evaluation case limit exceeded")
}
if AgentEvaluationRunHook == nil {
return nil, fmt.Errorf("agent evaluation runner is not initialized")
}
return AgentEvaluationRunHook(ctx, req)
}