feat: optimize ILLMService interface to support different models for each component

- Add LLMServiceConfig to support mixed model configuration
- Enable Planner, Asserter, Querier to use different optimal models
- Provide recommended configurations for various use cases
- Maintain backward compatibility with existing API
- Update documentation to reflect current state without iteration history
- Merge test files and add comprehensive configuration tests
- Resolve circular dependency by moving config to option package

internal/version/VERSION

@@ -1 +1 @@
-v5.0.0-beta-2506111115
+v5.0.0-beta-2506111218

uixt/ai/ai.go

@@ -16,21 +16,42 @@ type ILLMService interface {
 	RegisterTools(tools []*schema.ToolInfo) error
 }
 
+// NewLLMService creates a new LLM service with the same model for all components (backward compatibility)
 func NewLLMService(modelType option.LLMServiceType) (ILLMService, error) {
-	modelConfig, err := GetModelConfig(modelType)
+	config := option.NewLLMServiceConfig(modelType)
+	return NewLLMServiceWithOptionConfig(config)
+}
+
+// NewLLMServiceWithOptionConfig creates a new LLM service with different models for each component
+func NewLLMServiceWithOptionConfig(config *option.LLMServiceConfig) (ILLMService, error) {
+	// Get model configs for each component
+	plannerModelConfig, err := GetModelConfig(config.PlannerModel)
 	if err != nil {
 		return nil, err
 	}
 
-	planner, err := NewPlanner(context.Background(), modelConfig)
+	asserterModelConfig, err := GetModelConfig(config.AsserterModel)
 	if err != nil {
 		return nil, err
 	}
-	asserter, err := NewAsserter(context.Background(), modelConfig)
+
+	querierModelConfig, err := GetModelConfig(config.QuerierModel)
 	if err != nil {
 		return nil, err
 	}
-	querier, err := NewQuerier(context.Background(), modelConfig)
+
+	// Create components with their respective model configs
+	planner, err := NewPlanner(context.Background(), plannerModelConfig)
+	if err != nil {
+		return nil, err
+	}
+
+	asserter, err := NewAsserter(context.Background(), asserterModelConfig)
+	if err != nil {
+		return nil, err
+	}
+
+	querier, err := NewQuerier(context.Background(), querierModelConfig)
 	if err != nil {
 		return nil, err
 	}

uixt/ai/ai_test.go

@@ -140,3 +140,82 @@ func TestILLMServiceIntegration(t *testing.T) {
 		// which is more complex, so we skip it in this integration test
 	})
 }
+
+// TestLLMServiceConfig tests the LLM service configuration functionality
+func TestLLMServiceConfig(t *testing.T) {
+	t.Run("BasicConfiguration", func(t *testing.T) {
+		// Test creating config with same model for all components
+		modelType := option.DOUBAO_1_5_THINKING_VISION_PRO_250428
+		config := option.NewLLMServiceConfig(modelType)
+
+		assert.Equal(t, modelType, config.PlannerModel)
+		assert.Equal(t, modelType, config.AsserterModel)
+		assert.Equal(t, modelType, config.QuerierModel)
+	})
+
+	t.Run("MixedConfiguration", func(t *testing.T) {
+		// Test configuring different models for each component
+		config := option.NewLLMServiceConfig(option.DOUBAO_1_5_THINKING_VISION_PRO_250428).
+			WithPlannerModel(option.DOUBAO_1_5_UI_TARS_250328).
+			WithAsserterModel(option.OPENAI_GPT_4O).
+			WithQuerierModel(option.DEEPSEEK_R1_250528)
+
+		assert.Equal(t, option.DOUBAO_1_5_UI_TARS_250328, config.PlannerModel)
+		assert.Equal(t, option.OPENAI_GPT_4O, config.AsserterModel)
+		assert.Equal(t, option.DEEPSEEK_R1_250528, config.QuerierModel)
+	})
+
+	t.Run("RecommendedConfigurations", func(t *testing.T) {
+		configs := option.RecommendedConfigurations()
+
+		// Test mixed optimal configuration
+		mixedOptimal := configs["mixed_optimal"]
+		assert.NotNil(t, mixedOptimal)
+		assert.Equal(t, option.DOUBAO_1_5_UI_TARS_250328, mixedOptimal.PlannerModel)
+		assert.Equal(t, option.OPENAI_GPT_4O, mixedOptimal.AsserterModel)
+		assert.Equal(t, option.DEEPSEEK_R1_250528, mixedOptimal.QuerierModel)
+
+		// Test high performance configuration
+		highPerf := configs["high_performance"]
+		assert.NotNil(t, highPerf)
+		assert.Equal(t, option.OPENAI_GPT_4O, highPerf.PlannerModel)
+		assert.Equal(t, option.OPENAI_GPT_4O, highPerf.AsserterModel)
+		assert.Equal(t, option.OPENAI_GPT_4O, highPerf.QuerierModel)
+	})
+}
+
+// TestLLMServiceCreation tests service creation with different configurations
+func TestLLMServiceCreation(t *testing.T) {
+	t.Run("BackwardCompatibility", func(t *testing.T) {
+		// Test that the original NewLLMService function still works
+		modelType := option.DOUBAO_1_5_THINKING_VISION_PRO_250428
+		service, err := NewLLMService(modelType)
+
+		// We expect an error due to missing environment variables in test environment
+		// but the function signature should be correct
+		if err != nil {
+			assert.NotNil(t, err)
+			assert.Nil(t, service)
+		} else {
+			assert.NotNil(t, service)
+		}
+	})
+
+	t.Run("WithAdvancedConfig", func(t *testing.T) {
+		// Test the new API with different models for each component
+		config := option.NewLLMServiceConfig(option.DOUBAO_1_5_THINKING_VISION_PRO_250428).
+			WithPlannerModel(option.DOUBAO_1_5_UI_TARS_250328).
+			WithAsserterModel(option.OPENAI_GPT_4O)
+
+		service, err := NewLLMServiceWithOptionConfig(config)
+
+		// We expect an error due to missing environment variables in test environment
+		// but the function signature should be correct
+		if err != nil {
+			assert.NotNil(t, err)
+			assert.Nil(t, service)
+		} else {
+			assert.NotNil(t, service)
+		}
+	})
+}

uixt/option/ai.go

@@ -11,6 +11,7 @@ func NewAIServiceOptions(opts ...AIServiceOption) *AIServiceOptions {
 type AIServiceOptions struct {
 	CVService  CVServiceType
 	LLMService LLMServiceType
+	LLMConfig  *LLMServiceConfig // New field for advanced LLM configuration
 }
 
 type AIServiceOption func(*AIServiceOptions)
@@ -48,3 +49,65 @@ func WithLLMService(modelType LLMServiceType) AIServiceOption {
 		opts.LLMService = modelType
 	}
 }
+
+// LLMServiceConfig defines configuration for different LLM service components
+type LLMServiceConfig struct {
+	PlannerModel  LLMServiceType `json:"planner_model"`  // Model type for planner component
+	AsserterModel LLMServiceType `json:"asserter_model"` // Model type for asserter component
+	QuerierModel  LLMServiceType `json:"querier_model"`  // Model type for querier component
+}
+
+// NewLLMServiceConfig creates a new LLMServiceConfig with the same model for all components
+func NewLLMServiceConfig(modelType LLMServiceType) *LLMServiceConfig {
+	return &LLMServiceConfig{
+		PlannerModel:  modelType,
+		AsserterModel: modelType,
+		QuerierModel:  modelType,
+	}
+}
+
+// WithPlannerModel sets the model type for planner component
+func (c *LLMServiceConfig) WithPlannerModel(modelType LLMServiceType) *LLMServiceConfig {
+	c.PlannerModel = modelType
+	return c
+}
+
+// WithAsserterModel sets the model type for asserter component
+func (c *LLMServiceConfig) WithAsserterModel(modelType LLMServiceType) *LLMServiceConfig {
+	c.AsserterModel = modelType
+	return c
+}
+
+// WithQuerierModel sets the model type for querier component
+func (c *LLMServiceConfig) WithQuerierModel(modelType LLMServiceType) *LLMServiceConfig {
+	c.QuerierModel = modelType
+	return c
+}
+
+// WithLLMConfig sets the advanced LLM configuration
+func WithLLMConfig(config *LLMServiceConfig) AIServiceOption {
+	return func(opts *AIServiceOptions) {
+		opts.LLMConfig = config
+	}
+}
+
+// RecommendedConfigurations provides some recommended model configurations for different use cases
+func RecommendedConfigurations() map[string]*LLMServiceConfig {
+	return map[string]*LLMServiceConfig{
+		"cost_effective": NewLLMServiceConfig(DOUBAO_1_5_THINKING_VISION_PRO_250428).
+			WithPlannerModel(DOUBAO_1_5_UI_TARS_250328).
+			WithAsserterModel(DOUBAO_1_5_THINKING_VISION_PRO_250428).
+			WithQuerierModel(DOUBAO_1_5_THINKING_VISION_PRO_250428),
+
+		"high_performance": NewLLMServiceConfig(OPENAI_GPT_4O),
+
+		"mixed_optimal": NewLLMServiceConfig(DOUBAO_1_5_THINKING_VISION_PRO_250428).
+			WithPlannerModel(DOUBAO_1_5_UI_TARS_250328). // Best for UI understanding
+			WithAsserterModel(OPENAI_GPT_4O).            // Best for reasoning
+			WithQuerierModel(DEEPSEEK_R1_250528),        // Cost-effective for queries
+
+		"ui_focused": NewLLMServiceConfig(DOUBAO_1_5_UI_TARS_250328),
+
+		"reasoning_focused": NewLLMServiceConfig(DOUBAO_1_5_THINKING_VISION_PRO_250428),
+	}
+}

uixt/sdk.go

@@ -33,13 +33,24 @@ func NewXTDriver(driver IDriver, opts ...option.AIServiceOption) (*XTDriver, err
 			return nil, err
 		}
 	}
-	if services.LLMService != "" {
+
+	// Handle LLM service initialization
+	if services.LLMConfig != nil {
+		// Use advanced LLM configuration if provided
+		driverExt.LLMService, err = ai.NewLLMServiceWithOptionConfig(services.LLMConfig)
+		if err != nil {
+			return nil, errors.Wrap(err, "init llm service with config failed")
+		}
+	} else if services.LLMService != "" {
+		// Fallback to simple LLM service if no config provided
 		driverExt.LLMService, err = ai.NewLLMService(services.LLMService)
 		if err != nil {
 			return nil, errors.Wrap(err, "init llm service failed")
 		}
+	}
 
-		// Register uixt MCP tools to LLM service
+	// Register uixt MCP tools to LLM service if it exists
+	if driverExt.LLMService != nil {
 		mcpTools := driverExt.client.Server.ListTools()
 		einoTools := ai.ConvertMCPToolsToEinoToolInfos(mcpTools, "uixt")
 		if err := driverExt.LLMService.RegisterTools(einoTools); err != nil {