feat: assert with openai model

internal/version/VERSION

@@ -1 +1 @@
-v5.0.0-beta-2504292008
+v5.0.0-beta-2504292203

uixt/ai/ai.go

@@ -51,7 +51,6 @@ const (
 	LLMServiceTypeGPT4o      LLMServiceType = "gpt-4o"
 	LLMServiceTypeGPT4Vision LLMServiceType = "gpt-4-vision"
 	LLMServiceTypeQwenVL     LLMServiceType = "qwen-vl"
-	LLMServiceTypeDeepSeekV3 LLMServiceType = "deepseek-v3"
 )
 
 // ILLMService 定义了 LLM 服务接口，包括规划和断言功能

uixt/ai/ai_ark.go

@@ -35,20 +35,13 @@ func GetArkModelConfig() (*ark.ChatModelConfig, error) {
 	timeout := defaultTimeout
 
 	// https://www.volcengine.com/docs/82379/1494384?redirect=1
-	temperature := float32(0.01) // [0, 2] 采样温度。控制了生成文本时对每个候选词的概率分布进行平滑的程度。
+	temperature := float32(0.01)
-	// topP := float32(0.7)           // [0, 1] 核采样概率阈值。模型会考虑概率质量在 top_p 内的 token 结果。
-	// maxTokens := int(4096)         // 模型可以生成的最大 token 数量。输入 token 和输出 token 的总长度还受模型的上下文长度限制。
-	// frequencyPenalty := float32(0) // [-2, 2] 频率惩罚系数。如果值为正，会根据新 token 在文本中的出现频率对其进行惩罚，从而降低模型逐字重复的可能性。
-
 	modelConfig := &ark.ChatModelConfig{
 		BaseURL:     arkBaseURL,
 		APIKey:      arkAPIKey,
 		Model:       modelName,
 		Timeout:     &timeout,
 		Temperature: &temperature,
-		// TopP:             &topP,
-		// MaxTokens:        &maxTokens,
-		// FrequencyPenalty: &frequencyPenalty,
 	}
 
 	// log config info

uixt/ai/ai_openai.go

@@ -4,8 +4,6 @@ import (
 	"os"
 
 	"github.com/cloudwego/eino-ext/components/model/openai"
-	openai2 "github.com/cloudwego/eino-ext/libs/acl/openai"
-	"github.com/getkin/kin-openapi/openapi3gen"
 	"github.com/httprunner/httprunner/v5/code"
 	"github.com/httprunner/httprunner/v5/internal/config"
 	"github.com/pkg/errors"
@@ -40,32 +38,13 @@ func GetOpenAIModelConfig() (*openai.ChatModelConfig, error) {
 			"env %s missed", EnvModelName)
 	}
 
-	type OutputFormat struct {
+	temperature := float32(0.01)
-		Thought string `json:"thought"`
-		Action  string `json:"action"`
-		Error   string `json:"error,omitempty"`
-	}
-	outputFormatSchema, err := openapi3gen.NewSchemaRefForValue(&OutputFormat{}, nil)
-	if err != nil {
-		return nil, err
-	}
-
 	modelConfig := &openai.ChatModelConfig{
-		BaseURL: openaiBaseURL,
+		BaseURL:     openaiBaseURL,
-		APIKey:  openaiAPIKey,
+		APIKey:      openaiAPIKey,
-		Model:   modelName,
+		Model:       modelName,
-		Timeout: defaultTimeout,
+		Timeout:     defaultTimeout,
-		// set structured response format
+		Temperature: &temperature,
-		// https://github.com/cloudwego/eino-ext/blob/main/components/model/openai/examples/structured/structured.go
-		ResponseFormat: &openai2.ChatCompletionResponseFormat{
-			Type: openai2.ChatCompletionResponseFormatTypeJSONSchema,
-			JSONSchema: &openai2.ChatCompletionResponseFormatJSONSchema{
-				Name:        "thought_and_action",
-				Description: "data that describes planning thought and action",
-				Schema:      outputFormatSchema.Value,
-				Strict:      false,
-			},
-		},
 	}
 
 	// log config info

uixt/ai/asserter.go

@@ -9,8 +9,10 @@ import (
 
 	"github.com/cloudwego/eino-ext/components/model/ark"
 	"github.com/cloudwego/eino-ext/components/model/openai"
+	openai2 "github.com/cloudwego/eino-ext/libs/acl/openai"
 	"github.com/cloudwego/eino/components/model"
 	"github.com/cloudwego/eino/schema"
+	"github.com/getkin/kin-openapi/openapi3gen"
 	"github.com/httprunner/httprunner/v5/code"
 	"github.com/httprunner/httprunner/v5/internal/json"
 	"github.com/httprunner/httprunner/v5/uixt/types"
@@ -50,7 +52,7 @@ func NewAsserter(ctx context.Context, modelType LLMServiceType) (*Asserter, erro
 	asserter := &Asserter{
 		ctx:          ctx,
 		modelType:    modelType,
-		systemPrompt: getAssertionSystemPrompt(modelType),
+		systemPrompt: defaultAssertionPrompt,
 	}
 
 	switch modelType {
@@ -59,19 +61,56 @@ func NewAsserter(ctx context.Context, modelType LLMServiceType) (*Asserter, erro
 		if err != nil {
 			return nil, err
 		}
+		asserter.systemPrompt += "\n\n" + uiTarsAssertionResponseFormat
 		asserter.model, err = ark.NewChatModel(ctx, config)
 		if err != nil {
 			return nil, err
 		}
+
 	case LLMServiceTypeGPT4Vision, LLMServiceTypeGPT4o:
 		config, err := GetOpenAIModelConfig()
 		if err != nil {
 			return nil, err
 		}
+
+		// define output format
+		type OutputFormat struct {
+			Thought string `json:"thought"`
+			Pass    bool   `json:"pass"`
+			Error   string `json:"error,omitempty"`
+		}
+		outputFormatSchema, err := openapi3gen.NewSchemaRefForValue(&OutputFormat{}, nil)
+		if err != nil {
+			return nil, err
+		}
+		// set structured response format
+		// https://github.com/cloudwego/eino-ext/blob/main/components/model/openai/examples/structured/structured.go
+		config.ResponseFormat = &openai2.ChatCompletionResponseFormat{
+			Type: openai2.ChatCompletionResponseFormatTypeJSONSchema,
+			JSONSchema: &openai2.ChatCompletionResponseFormatJSONSchema{
+				Name:        "assertion_result",
+				Description: "data that describes assertion result",
+				Schema:      outputFormatSchema.Value,
+				Strict:      false,
+			},
+		}
+
 		asserter.model, err = openai.NewChatModel(ctx, config)
 		if err != nil {
 			return nil, err
 		}
+
+	case LLMServiceTypeQwenVL:
+		config, err := GetOpenAIModelConfig()
+		if err != nil {
+			return nil, err
+		}
+		asserter.systemPrompt += "\n\n" + defaultAssertionResponseJsonFormat
+		asserter.model, err = openai.NewChatModel(ctx, config)
+		if err != nil {
+			return nil, err
+		}
+
 	default:
 		return nil, errors.New("not supported model type for asserter")
 	}
@@ -79,14 +118,6 @@ func NewAsserter(ctx context.Context, modelType LLMServiceType) (*Asserter, erro
 	return asserter, nil
 }
 
-// getAssertionSystemPrompt returns the appropriate system prompt for the given model type
-func getAssertionSystemPrompt(modelType LLMServiceType) string {
-	if modelType == LLMServiceTypeUITARS {
-		return defaultAssertionPrompt + "\n\n" + uiTarsAssertionResponseFormat
-	}
-	return defaultAssertionPrompt + "\n\n" + defaultAssertionResponseJsonFormat
-}
-
 // Assert performs the assertion check on the screenshot
 func (a *Asserter) Assert(opts *AssertOptions) (*AssertionResponse, error) {
 	// Validate input parameters

uixt/ai/asserter_test.go

@@ -1,6 +1,7 @@
 package ai
 
 import (
+	"context"
 	"testing"
 
 	"github.com/httprunner/httprunner/v5/uixt/types"
@@ -8,16 +9,15 @@ import (
 	"github.com/stretchr/testify/require"
 )
 
-func createAIService(t *testing.T) *AIServices {
+func createAsserter(t *testing.T) *Asserter {
-	aiService := NewAIService(WithLLMService(LLMServiceTypeUITARS))
+	asserter, err := NewAsserter(context.Background(), LLMServiceTypeUITARS)
-	require.NotNil(t, aiService)
+	require.NoError(t, err)
-	require.NotNil(t, aiService.ILLMService)
+	return asserter
-	return aiService
 }
 
 // 测试有效断言
 func TestValidAssertions(t *testing.T) {
-	aiService := createAIService(t)
+	asserter := createAsserter(t)
 
 	testCases := []struct {
 		name       string
@@ -33,7 +33,7 @@ func TestValidAssertions(t *testing.T) {
 		},
 		{
 			name:       "深度思考功能未开启",
-			assertion:  "输入框下方的「深度思考」文字是灰色的",
+			assertion:  "输入框下方的「深度思考」文字不是蓝色的",
 			imagePath:  "testdata/deepseek_think_off.png",
 			expectPass: true,
 		},
@@ -50,7 +50,7 @@ func TestValidAssertions(t *testing.T) {
 			imageBase64, size, err := loadImage(tc.imagePath)
 			require.NoError(t, err)
 
-			result, err := aiService.ILLMService.Assert(&AssertOptions{
+			result, err := asserter.Assert(&AssertOptions{
 				Assertion:  tc.assertion,
 				Screenshot: imageBase64,
 				Size:       size,
@@ -58,14 +58,13 @@ func TestValidAssertions(t *testing.T) {
 			require.NoError(t, err)
 			assert.NotNil(t, result)
 			assert.Equal(t, tc.expectPass, result.Pass)
-			assert.NotEmpty(t, result.Thought)
 		})
 	}
 }
 
 // 测试无效参数
 func TestInvalidParameters(t *testing.T) {
-	aiService := createAIService(t)
+	asserter := createAsserter(t)
 	testCases := []struct {
 		name          string
 		assertion     string
@@ -91,7 +90,7 @@ func TestInvalidParameters(t *testing.T) {
 
 	for _, tc := range testCases {
 		t.Run(tc.name, func(t *testing.T) {
-			_, err := aiService.ILLMService.Assert(&AssertOptions{
+			_, err := asserter.Assert(&AssertOptions{
 				Assertion:  tc.assertion,
 				Screenshot: tc.screenshot,
 				Size:       tc.size,