mirror of
https://github.com/httprunner/httprunner.git
synced 2026-06-11 18:59:39 +08:00
fix: support combined LLMService with wings service
This commit is contained in:
@@ -4,6 +4,7 @@ import (
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"context"
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"github.com/cloudwego/eino/schema"
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"github.com/httprunner/httprunner/v5/uixt/option"
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)
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@@ -24,43 +25,66 @@ func NewLLMService(modelType option.LLMServiceType) (ILLMService, error) {
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// NewLLMServiceWithOptionConfig creates a new LLM service with different models for each component
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func NewLLMServiceWithOptionConfig(config *option.LLMServiceConfig) (ILLMService, error) {
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// Get model configs for each component
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plannerModelConfig, err := GetModelConfig(config.PlannerModel)
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if err != nil {
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return nil, err
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combinedLLMService := &combinedLLMService{}
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// Planner
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if config.PlannerModel == option.WINGS_SERVICE {
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planner, err := NewWingsService()
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if err != nil {
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return nil, err
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}
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combinedLLMService.planner = planner
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} else {
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plannerModelConfig, err := GetModelConfig(config.PlannerModel)
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if err != nil {
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return nil, err
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}
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planner, err := NewPlanner(context.Background(), plannerModelConfig)
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if err != nil {
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return nil, err
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}
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combinedLLMService.planner = planner
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}
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asserterModelConfig, err := GetModelConfig(config.AsserterModel)
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if err != nil {
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return nil, err
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// Asserter
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if config.AsserterModel == option.WINGS_SERVICE {
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asserter, err := NewWingsService()
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if err != nil {
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return nil, err
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}
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combinedLLMService.asserter = asserter
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} else {
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asserterModelConfig, err := GetModelConfig(config.AsserterModel)
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if err != nil {
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return nil, err
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}
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asserter, err := NewAsserter(context.Background(), asserterModelConfig)
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if err != nil {
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return nil, err
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}
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combinedLLMService.asserter = asserter
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}
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querierModelConfig, err := GetModelConfig(config.QuerierModel)
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if err != nil {
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return nil, err
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// Querier
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if config.QuerierModel == option.WINGS_SERVICE {
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querier, err := NewWingsService()
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if err != nil {
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return nil, err
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}
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combinedLLMService.querier = querier
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} else {
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querierModelConfig, err := GetModelConfig(config.QuerierModel)
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if err != nil {
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return nil, err
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}
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querier, err := NewQuerier(context.Background(), querierModelConfig)
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if err != nil {
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return nil, err
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}
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combinedLLMService.querier = querier
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}
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// Create components with their respective model configs
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planner, err := NewPlanner(context.Background(), plannerModelConfig)
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if err != nil {
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return nil, err
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}
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asserter, err := NewAsserter(context.Background(), asserterModelConfig)
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if err != nil {
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return nil, err
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}
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querier, err := NewQuerier(context.Background(), querierModelConfig)
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if err != nil {
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return nil, err
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}
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return &combinedLLMService{
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planner: planner,
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asserter: asserter,
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querier: querier,
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}, nil
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return combinedLLMService, nil
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}
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// combinedLLMService 实现了 ILLMService 接口,组合了规划、断言和查询功能
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@@ -3,7 +3,6 @@ package uixt
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import (
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"context"
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"encoding/json"
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"fmt"
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"time"
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"github.com/cloudwego/eino/schema"
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@@ -16,7 +15,7 @@ import (
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"github.com/httprunner/httprunner/v5/uixt/types"
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)
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// StartToGoal (original implementation - preserved)
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// StartToGoal runs AI actions until task is finished or time limit is reached
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func (dExt *XTDriver) StartToGoal(ctx context.Context, prompt string, opts ...option.ActionOption) ([]*PlanningExecutionResult, error) {
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options := option.NewActionOptions(opts...)
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logger := log.Info().Str("prompt", prompt)
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@@ -195,7 +194,7 @@ func (dExt *XTDriver) StartToGoal(ctx context.Context, prompt string, opts ...op
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}
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}
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// AIAction with WingsService priority support
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// AIAction performs AI-driven action and returns detailed execution result
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func (dExt *XTDriver) AIAction(ctx context.Context, prompt string, opts ...option.ActionOption) (*AIExecutionResult, error) {
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log.Info().Str("prompt", prompt).Msg("performing AI action")
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@@ -208,93 +207,24 @@ func (dExt *XTDriver) AIAction(ctx context.Context, prompt string, opts ...optio
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return nil, err
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}
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// Step 2: Check if WingsService is available and prioritize it
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if dExt.WingsService != nil {
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log.Info().Msg("using Wings service for AI action")
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return dExt.executeAIAction(ctx, prompt, screenResult, dExt.WingsService, "wings", opts...)
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}
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// Step 3: Fallback to LLM service
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if dExt.LLMService == nil {
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return nil, errors.New("neither Wings service nor LLM service is initialized")
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}
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log.Info().Msg("using LLM service for AI action")
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return dExt.executeAIAction(ctx, prompt, screenResult, dExt.LLMService, "llm", opts...)
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}
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// executeAIAction executes AIAction using any AI service (generic implementation)
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func (dExt *XTDriver) executeAIAction(ctx context.Context, prompt string, screenResult *ScreenResult, service ai.ILLMService, serviceType string, opts ...option.ActionOption) (*AIExecutionResult, error) {
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// Add device context for Wings service if needed
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if serviceType == "wings" {
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ctx = dExt.addDeviceContextForWings(ctx)
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}
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// Step 1: Plan next action and measure time
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// Step 2: Plan next action and measure time
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modelCallStartTime := time.Now()
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var planningResult *ai.PlanningResult
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var err error
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if serviceType == "llm" {
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// For LLM service, use PlanNextAction which includes additional processing
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planningExecutionResult, planErr := dExt.PlanNextAction(ctx, prompt, opts...)
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if planErr != nil {
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modelCallElapsed := time.Since(modelCallStartTime).Milliseconds()
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return &AIExecutionResult{
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Type: "action",
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ModelCallElapsed: modelCallElapsed,
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ScreenshotElapsed: screenResult.Elapsed,
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ImagePath: screenResult.ImagePath,
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Resolution: &screenResult.Resolution,
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Error: planErr.Error(),
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}, errors.Wrap(planErr, "get next action failed")
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}
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planningResult = &planningExecutionResult.PlanningResult
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} else {
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// For Wings service, call Plan directly
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planningOpts := &ai.PlanningOptions{
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UserInstruction: prompt,
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Message: &schema.Message{
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Role: schema.User,
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MultiContent: []schema.ChatMessagePart{
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{
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Type: schema.ChatMessagePartTypeImageURL,
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ImageURL: &schema.ChatMessageImageURL{
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URL: screenResult.Base64,
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},
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},
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},
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},
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Size: screenResult.Resolution,
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}
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planningResult, err = service.Plan(ctx, planningOpts)
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if err != nil {
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modelCallElapsed := time.Since(modelCallStartTime).Milliseconds()
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return &AIExecutionResult{
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Type: "action",
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ModelCallElapsed: modelCallElapsed,
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ScreenshotElapsed: screenResult.Elapsed,
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ImagePath: screenResult.ImagePath,
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Resolution: &screenResult.Resolution,
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Error: err.Error(),
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}, errors.Wrap(err, fmt.Sprintf("%s service planning failed", serviceType))
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}
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}
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planningResult, err := dExt.PlanNextAction(ctx, prompt, opts...)
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modelCallElapsed := time.Since(modelCallStartTime).Milliseconds()
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aiExecutionResult := &AIExecutionResult{
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Type: "action",
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ModelCallElapsed: modelCallElapsed,
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ScreenshotElapsed: screenResult.Elapsed,
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ImagePath: screenResult.ImagePath,
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Resolution: &screenResult.Resolution,
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PlanningResult: planningResult,
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PlanningResult: &planningResult.PlanningResult,
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}
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if err != nil {
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aiExecutionResult.Error = err.Error()
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return aiExecutionResult, errors.Wrap(err, "get next action failed")
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}
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// Step 2: Execute tool calls
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// Step 3: Execute tool calls
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for _, toolCall := range planningResult.ToolCalls {
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err = dExt.invokeToolCall(ctx, toolCall, opts...)
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if err != nil {
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@@ -309,9 +239,13 @@ func (dExt *XTDriver) executeAIAction(ctx context.Context, prompt string, screen
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return aiExecutionResult, nil
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}
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// AIAssert with WingsService priority support
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// AIAssert performs AI-driven assertion and returns detailed execution result
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func (dExt *XTDriver) AIAssert(assertion string, opts ...option.ActionOption) (*AIExecutionResult, error) {
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log.Info().Str("assertion", assertion).Msg("performing AI assertion")
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if dExt.LLMService == nil {
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return nil, errors.New("LLM service is not initialized")
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}
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ctx := dExt.addDeviceContextForWings(context.Background())
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// Step 1: Take screenshot and convert to base64
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screenResult, err := dExt.GetScreenResult(
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@@ -322,29 +256,6 @@ func (dExt *XTDriver) AIAssert(assertion string, opts ...option.ActionOption) (*
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return nil, err
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}
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// Step 2: Check if WingsService is available and prioritize it
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if dExt.WingsService != nil {
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log.Info().Msg("using Wings service for AI assertion")
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return dExt.executeAIAssert(assertion, screenResult, dExt.WingsService, "wings", opts...)
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}
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// Step 3: Fallback to LLM service
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if dExt.LLMService == nil {
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return nil, errors.New("neither Wings service nor LLM service is initialized")
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}
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log.Info().Msg("using LLM service for AI assertion")
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return dExt.executeAIAssert(assertion, screenResult, dExt.LLMService, "llm", opts...)
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}
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// executeAIAssert executes AIAssert using any AI service (generic implementation)
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func (dExt *XTDriver) executeAIAssert(assertion string, screenResult *ScreenResult, service ai.ILLMService, serviceType string, opts ...option.ActionOption) (*AIExecutionResult, error) {
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// Step 1: Prepare context and options
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ctx := context.Background()
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if serviceType == "wings" {
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ctx = dExt.addDeviceContextForWings(ctx)
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}
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assertResult := &AIExecutionResult{
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Type: "assert",
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ScreenshotElapsed: screenResult.Elapsed,
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@@ -352,61 +263,47 @@ func (dExt *XTDriver) executeAIAssert(assertion string, screenResult *ScreenResu
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Resolution: &screenResult.Resolution,
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}
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// Step 2: Call service and measure time
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// Step 2: Call model and measure time
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modelCallStartTime := time.Now()
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assertOpts := &ai.AssertOptions{
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Assertion: assertion,
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Screenshot: screenResult.Base64,
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Size: screenResult.Resolution,
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}
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result, err := service.Assert(ctx, assertOpts)
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result, err := dExt.LLMService.Assert(ctx, assertOpts)
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assertResult.ModelCallElapsed = time.Since(modelCallStartTime).Milliseconds()
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assertResult.AssertionResult = result
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if err != nil {
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assertResult.Error = err.Error()
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return assertResult, errors.Wrap(err, fmt.Sprintf("%s assertion failed", serviceType))
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return assertResult, errors.Wrap(err, "AI assertion failed")
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}
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// For assertion failure, we should still return success but mark the assertion as failed
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// This ensures that the AIResult (including screenshot and thought) is properly saved and displayed
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if !result.Pass {
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assertResult.Error = result.Thought
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assertResult.Error = result.Thought // Store the failure reason for reporting
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}
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return assertResult, nil
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}
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// addDeviceContextForWings adds device information to context for Wings service
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func (dExt *XTDriver) addDeviceContextForWings(ctx context.Context) context.Context {
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device := dExt.GetDevice()
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if device == nil {
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return ctx
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}
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// Context key types to avoid collisions
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type contextKey string
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// Add device ID to context
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ctx = context.WithValue(ctx, "device_id", device.UUID())
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const (
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deviceIDKey contextKey = "device_id"
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platformTypeKey contextKey = "platform_type"
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)
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// Add platform type to context
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platformType := "android" // default
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switch device.(type) {
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case *AndroidDevice:
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platformType = "android"
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case *IOSDevice:
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platformType = "ios"
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case *HarmonyDevice:
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platformType = "harmony"
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}
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ctx = context.WithValue(ctx, "platform_type", platformType)
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return ctx
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}
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// PlanNextAction (original implementation - preserved)
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// PlanNextAction performs planning and returns unified planning information
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func (dExt *XTDriver) PlanNextAction(ctx context.Context, prompt string, opts ...option.ActionOption) (*PlanningExecutionResult, error) {
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if dExt.LLMService == nil {
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return nil, errors.New("LLM service is not initialized")
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}
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ctx = dExt.addDeviceContextForWings(ctx)
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// Parse action options to get ResetHistory setting
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options := option.NewActionOptions(opts...)
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resetHistory := options.ResetHistory
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@@ -476,7 +373,7 @@ func (dExt *XTDriver) PlanNextAction(ctx context.Context, prompt string, opts ..
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return planningResult, nil
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}
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// isTaskFinished (original implementation - preserved)
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// isTaskFinished checks if the task is completed based on the planning result
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func (dExt *XTDriver) isTaskFinished(planningResult *PlanningExecutionResult) bool {
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// Check if there are no tool calls (no actions to execute)
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if len(planningResult.ToolCalls) == 0 {
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@@ -495,7 +392,7 @@ func (dExt *XTDriver) isTaskFinished(planningResult *PlanningExecutionResult) bo
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return false
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}
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// invokeToolCall (original implementation - preserved)
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// invokeToolCall invokes the tool call
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func (dExt *XTDriver) invokeToolCall(ctx context.Context, toolCall schema.ToolCall, opts ...option.ActionOption) error {
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// Parse arguments
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arguments := make(map[string]interface{})
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@@ -522,7 +419,7 @@ func (dExt *XTDriver) invokeToolCall(ctx context.Context, toolCall schema.ToolCa
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return nil
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}
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// PlanningExecutionResult (original implementation - preserved)
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// PlanningExecutionResult represents a unified planning result that contains both planning information and execution results
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type PlanningExecutionResult struct {
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ai.PlanningResult // Inherit all fields from ai.PlanningResult (ToolCalls, Thought, Content, Error, ModelName)
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// Planning process information
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@@ -539,7 +436,7 @@ type PlanningExecutionResult struct {
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SubActions []*SubActionResult `json:"sub_actions,omitempty"` // sub-actions generated from this planning
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}
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// AIExecutionResult (original implementation - preserved)
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// AIExecutionResult represents a unified result structure for all AI operations
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type AIExecutionResult struct {
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Type string `json:"type"` // operation type: "query", "action", "assert"
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ModelCallElapsed int64 `json:"model_call_elapsed"` // model call elapsed time in milliseconds
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@@ -556,7 +453,7 @@ type AIExecutionResult struct {
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Error string `json:"error,omitempty"` // error message if operation failed
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}
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// SubActionResult (original implementation - preserved)
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// SubActionResult represents a sub-action within a start_to_goal action
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type SubActionResult struct {
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ActionName string `json:"action_name"` // name of the sub-action (e.g., "tap", "input")
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Arguments interface{} `json:"arguments,omitempty"` // arguments passed to the sub-action
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@@ -571,7 +468,7 @@ type SessionData struct {
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ScreenResults []*ScreenResult `json:"screen_results,omitempty"` // store sub-action specific screen_results
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}
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// AIQuery (original implementation - preserved)
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// AIQuery performs AI-driven query and returns detailed execution result
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func (dExt *XTDriver) AIQuery(text string, opts ...option.ActionOption) (*AIExecutionResult, error) {
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if dExt.LLMService == nil {
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return nil, errors.New("LLM service is not initialized")
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@@ -616,3 +513,28 @@ func (dExt *XTDriver) AIQuery(text string, opts ...option.ActionOption) (*AIExec
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}
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return aiResult, nil
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}
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// addDeviceContextForWings adds device information to context for Wings service
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func (dExt *XTDriver) addDeviceContextForWings(ctx context.Context) context.Context {
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device := dExt.GetDevice()
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if device == nil {
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return ctx
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}
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// Add device ID to context
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ctx = context.WithValue(ctx, deviceIDKey, device.UUID())
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// Add platform type to context
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platformType := "android" // default
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switch device.(type) {
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case *AndroidDevice:
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platformType = "android"
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case *IOSDevice:
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platformType = "ios"
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case *HarmonyDevice:
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platformType = "harmony"
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}
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ctx = context.WithValue(ctx, platformTypeKey, platformType)
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return ctx
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}
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@@ -23,33 +23,33 @@ func TestDriverExt_TapByLLM(t *testing.T) {
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assert.Nil(t, err)
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}
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//func TestDriverExt_StartToGoal(t *testing.T) {
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// driver := setupDriverExt(t)
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//
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// userInstruction := `连连看是一款经典的益智消除类小游戏,通常以图案或图标为主要元素。以下是连连看的基本规则说明:
|
||||
// 1. 游戏目标: 玩家需要在规定时间内,通过连接相同的图案或图标,将它们从游戏界面中消除。
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||||
// 2. 连接规则:
|
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// - 两个相同的图案可以通过不超过三条直线连接。
|
||||
// - 连接线可以水平或垂直,但不能斜线,也不能跨过其他图案。
|
||||
// - 连接线的转折次数不能超过两次。
|
||||
// 3. 游戏界面:
|
||||
// - 游戏界面通常是一个矩形区域,内含多个图案或图标,排列成行和列。
|
||||
// - 图案或图标在未选中状态下背景为白色,选中状态下背景为绿色。
|
||||
// 4. 时间限制: 游戏通常设有时间限制,玩家需要在时间耗尽前完成所有图案的消除。
|
||||
// 5. 得分机制: 每成功连接并消除一对图案,玩家会获得相应的分数。完成游戏后,根据剩余时间和消除效率计算总分。
|
||||
// 6. 关卡设计: 游戏可能包含多个关卡,随着关卡的推进,图案的复杂度和数量会增加。
|
||||
//
|
||||
// 注意事项:
|
||||
// 1、当连接错误时,顶部的红心会减少一个,需及时调整策略,避免红心变为0个后游戏失败
|
||||
// 2、不要连续 2 次点击同一个图案
|
||||
// 3、不要犯重复的错误
|
||||
// `
|
||||
//
|
||||
// userInstruction += "\n\n请严格按照以上游戏规则,开始游戏;注意,请只做点击操作"
|
||||
//
|
||||
// //_, err := driver.StartToGoal(context.Background(), userInstruction)
|
||||
// //assert.Nil(t, err)
|
||||
//}
|
||||
func TestDriverExt_StartToGoal(t *testing.T) {
|
||||
driver := setupDriverExt(t)
|
||||
|
||||
userInstruction := `连连看是一款经典的益智消除类小游戏,通常以图案或图标为主要元素。以下是连连看的基本规则说明:
|
||||
1. 游戏目标: 玩家需要在规定时间内,通过连接相同的图案或图标,将它们从游戏界面中消除。
|
||||
2. 连接规则:
|
||||
- 两个相同的图案可以通过不超过三条直线连接。
|
||||
- 连接线可以水平或垂直,但不能斜线,也不能跨过其他图案。
|
||||
- 连接线的转折次数不能超过两次。
|
||||
3. 游戏界面:
|
||||
- 游戏界面通常是一个矩形区域,内含多个图案或图标,排列成行和列。
|
||||
- 图案或图标在未选中状态下背景为白色,选中状态下背景为绿色。
|
||||
4. 时间限制: 游戏通常设有时间限制,玩家需要在时间耗尽前完成所有图案的消除。
|
||||
5. 得分机制: 每成功连接并消除一对图案,玩家会获得相应的分数。完成游戏后,根据剩余时间和消除效率计算总分。
|
||||
6. 关卡设计: 游戏可能包含多个关卡,随着关卡的推进,图案的复杂度和数量会增加。
|
||||
|
||||
注意事项:
|
||||
1、当连接错误时,顶部的红心会减少一个,需及时调整策略,避免红心变为0个后游戏失败
|
||||
2、不要连续 2 次点击同一个图案
|
||||
3、不要犯重复的错误
|
||||
`
|
||||
|
||||
userInstruction += "\n\n请严格按照以上游戏规则,开始游戏;注意,请只做点击操作"
|
||||
|
||||
_, err := driver.StartToGoal(context.Background(), userInstruction)
|
||||
assert.Nil(t, err)
|
||||
}
|
||||
|
||||
func TestDriverExt_PlanNextAction(t *testing.T) {
|
||||
driver := setupDriverExt(t)
|
||||
|
||||
@@ -58,6 +58,7 @@ const (
|
||||
DOUBAO_SEED_1_6_250615 LLMServiceType = "doubao-seed-1.6-250615"
|
||||
OPENAI_GPT_4O LLMServiceType = "openai/gpt-4o"
|
||||
DEEPSEEK_R1_250528 LLMServiceType = "deepseek-r1-250528"
|
||||
WINGS_SERVICE LLMServiceType = "wings-service"
|
||||
)
|
||||
|
||||
func WithLLMService(modelType LLMServiceType) AIServiceOption {
|
||||
|
||||
21
uixt/sdk.go
21
uixt/sdk.go
@@ -27,10 +27,6 @@ func NewXTDriver(driver IDriver, opts ...option.AIServiceOption) (*XTDriver, err
|
||||
|
||||
var err error
|
||||
|
||||
// Initialize Wings service (always available)
|
||||
driverExt.WingsService = ai.NewWingsService()
|
||||
log.Info().Msg("Wings service initialized")
|
||||
|
||||
// Handle LLM service initialization
|
||||
if services.LLMConfig != nil {
|
||||
// Use advanced LLM configuration if provided
|
||||
@@ -53,15 +49,11 @@ func NewXTDriver(driver IDriver, opts ...option.AIServiceOption) (*XTDriver, err
|
||||
}
|
||||
|
||||
// Register uixt MCP tools to LLM service if it exists
|
||||
mcpTools := driverExt.client.Server.ListTools()
|
||||
einoTools := ai.ConvertMCPToolsToEinoToolInfos(mcpTools, "uixt")
|
||||
if err = driverExt.WingsService.RegisterTools(einoTools); err != nil {
|
||||
log.Debug().Err(err).Msg("Wings service ignoring tool registration (expected)")
|
||||
}
|
||||
|
||||
if driverExt.LLMService != nil {
|
||||
if err = driverExt.LLMService.RegisterTools(einoTools); err != nil {
|
||||
log.Warn().Err(err).Msg("failed to register uixt tools to LLM service")
|
||||
mcpTools := driverExt.client.Server.ListTools()
|
||||
einoTools := ai.ConvertMCPToolsToEinoToolInfos(mcpTools, "uixt")
|
||||
if err := driverExt.LLMService.RegisterTools(einoTools); err != nil {
|
||||
log.Warn().Err(err).Msg("failed to register uixt tools")
|
||||
}
|
||||
}
|
||||
|
||||
@@ -71,9 +63,8 @@ func NewXTDriver(driver IDriver, opts ...option.AIServiceOption) (*XTDriver, err
|
||||
// XTDriver = IDriver + AI
|
||||
type XTDriver struct {
|
||||
IDriver
|
||||
CVService ai.ICVService // OCR/CV
|
||||
LLMService ai.ILLMService // LLM (fallback service)
|
||||
WingsService ai.ILLMService // Wings API service (priority service)
|
||||
CVService ai.ICVService // OCR/CV
|
||||
LLMService ai.ILLMService // LLM
|
||||
|
||||
services *option.AIServiceOptions // AI services options
|
||||
client *MCPClient4XTDriver // MCP Client for built-in uixt server
|
||||
|
||||
Reference in New Issue
Block a user