diff --git a/grpcServer/anthropic.go b/grpcServer/anthropic.go
new file mode 100644
index 0000000..849aa3a
--- /dev/null
+++ b/grpcServer/anthropic.go
@@ -0,0 +1,85 @@
+package grpcServer
+
+import (
+	"go.limit.dev/unollm/model"
+	anthropic "go.limit.dev/unollm/provider/Anthropic"
+)
+
+func NewAnthropicClient(info *model.LLMRequestInfo) *anthropic.Client {
+	return anthropic.NewClient(info.GetToken())
+}
+
+func AnthropicChatCompletion(cli *anthropic.Client, rs *model.LLMRequestSchema) (*model.LLMResponseSchema, error) {
+	req := anthropic.ChatCompletionRequest{
+		Model:       rs.LlmRequestInfo.Model,
+		Messages:    make([]anthropic.Message, 0),
+		MaxTokens:   4096,
+		Temperature: rs.LlmRequestInfo.Temperature,
+		TopP:        rs.LlmRequestInfo.TopP,
+		TopK:        rs.LlmRequestInfo.TopK,
+	}
+	for _, m := range rs.Messages {
+		req.Messages = append(req.Messages, anthropic.Message{
+			Role:    m.Role,
+			Content: m.Content,
+		})
+	}
+	respp, err := anthropic.ChatCompletion(cli, req)
+	if err != nil {
+		return nil, err
+	}
+	res := &model.LLMResponseSchema{
+		Message: &model.LLMChatCompletionMessage{
+			Role:    respp.Role,
+			Content: respp.Content[0].Text,
+		},
+		LlmTokenCount: &model.LLMTokenCount{
+			PromptToken:     int64(respp.Usage.InputTokens),
+			CompletionToken: int64(respp.Usage.OutputTokens),
+			TotalToken:      int64(respp.Usage.InputTokens + respp.Usage.OutputTokens),
+		},
+	}
+
+	return res, nil
+}
+
+func AnthropicChatCompletionStreaming(cli *anthropic.Client, rs *model.LLMRequestSchema, sv model.UnoLLMv1_StreamRequestLLMServer) error {
+	req := anthropic.ChatCompletionRequest{
+		Model:     rs.LlmRequestInfo.Model,
+		Messages:  make([]anthropic.Message, 0),
+		MaxTokens: 4096,
+	}
+	for _, m := range rs.Messages {
+		req.Messages = append(req.Messages, anthropic.Message{
+			Role:    m.Role,
+			Content: m.Content,
+		})
+	}
+	respp, err := cli.ChatCompletionStreamingRequest(&req)
+	if err != nil {
+		return err
+	}
+	go func() {
+		for {
+			r := <-respp
+			if r.Type == "STOP" {
+				sv.Send(&model.PartialLLMResponse{
+					Response: &model.PartialLLMResponse_Done{},
+					LlmTokenCount: &model.LLMTokenCount{
+						PromptToken:     int64(r.Delta.Usage.InputTokens),
+						CompletionToken: int64(r.Delta.Usage.OutputTokens),
+						TotalToken:      int64(r.Delta.Usage.InputTokens + r.Delta.Usage.OutputTokens),
+					},
+				})
+				return
+			} else {
+				sv.Send(&model.PartialLLMResponse{
+					Response: &model.PartialLLMResponse_Content{
+						Content: r.Delta.Text,
+					},
+				})
+			}
+		}
+	}()
+	return nil
+}
diff --git a/grpcServer/baichuan.go b/grpcServer/baichuan.go
index 5a1502e..e4093c4 100644
--- a/grpcServer/baichuan.go
+++ b/grpcServer/baichuan.go
@@ -1,6 +1,8 @@
 package grpcServer
 
 import (
+	"log"
+
 	"go.limit.dev/unollm/model"
 	"go.limit.dev/unollm/provider/Baichuan"
 	"go.limit.dev/unollm/relay"
@@ -8,7 +10,6 @@ import (
 	"go.limit.dev/unollm/relay/respTransformer"
 	"google.golang.org/grpc/codes"
 	"google.golang.org/grpc/status"
-	"log"
 )
 
 func BaichuanChatCompletion(cli *Baichuan.Client, rs *model.LLMRequestSchema) (*model.LLMResponseSchema, error) {
diff --git a/grpcServer/relay.go b/grpcServer/relay.go
index 51bd56f..737cec8 100644
--- a/grpcServer/relay.go
+++ b/grpcServer/relay.go
@@ -28,6 +28,7 @@ const AZURE_OPENAI_LLM_API = "azure_openai"
 const BAICHUAN_LLM_API = "baichuan"
 const GEMINI_LLM_API = "gemini"
 const MOONSHOT_LLM_API = "moonshot"
+const ANTHROPIC_LLM_API = "anthropic"
 
 func (uno *UnoForwardServer) BlockingRequestLLM(ctx context.Context, rs *model.LLMRequestSchema) (*model.LLMResponseSchema, error) {
 	info := rs.GetLlmRequestInfo()
@@ -35,7 +36,9 @@ func (uno *UnoForwardServer) BlockingRequestLLM(ctx context.Context, rs *model.L
 	case OPENAI_LLM_API:
 		cli := NewOpenAIClient(info)
 		return OpenAIChatCompletion(cli, rs)
-
+	case ANTHROPIC_LLM_API:
+		cli := NewAnthropicClient(info)
+		return AnthropicChatCompletion(cli, rs)
 	case MOONSHOT_LLM_API:
 		cli := NewOpenAIClient(info)
 		if functionCallingRequestMake(rs) {
@@ -82,6 +85,9 @@ func (uno *UnoForwardServer) StreamRequestLLM(rs *model.LLMRequestSchema, sv mod
 	case OPENAI_LLM_API:
 		cli := NewOpenAIClient(info)
 		return OpenAIChatCompletionStreaming(cli, rs, sv)
+	case ANTHROPIC_LLM_API:
+		cli := NewAnthropicClient(info)
+		return AnthropicChatCompletionStreaming(cli, rs, sv)
 	case MOONSHOT_LLM_API:
 		cli := NewOpenAIClient(info)
 		if functionCallingRequestMake(rs) {
diff --git a/model/unollm.pb.go b/model/unollm.pb.go
index ce2fe47..0f5ae3c 100644
--- a/model/unollm.pb.go
+++ b/model/unollm.pb.go
@@ -88,9 +88,10 @@ type LLMChatCompletionMessage struct {
 	sizeCache     protoimpl.SizeCache
 	unknownFields protoimpl.UnknownFields
 
-	Role       string  `protobuf:"bytes,1,opt,name=role,proto3" json:"role,omitempty"`
-	Content    string  `protobuf:"bytes,2,opt,name=content,proto3" json:"content,omitempty"`
-	ToolCallId *string `protobuf:"bytes,3,opt,name=tool_call_id,json=toolCallId,proto3,oneof" json:"tool_call_id,omitempty"`
+	Role       string   `protobuf:"bytes,1,opt,name=role,proto3" json:"role,omitempty"`
+	Content    string   `protobuf:"bytes,2,opt,name=content,proto3" json:"content,omitempty"`
+	ToolCallId *string  `protobuf:"bytes,3,opt,name=tool_call_id,json=toolCallId,proto3,oneof" json:"tool_call_id,omitempty"`
+	Images     []string `protobuf:"bytes,4,rep,name=images,proto3" json:"images,omitempty"`
 }
 
 func (x *LLMChatCompletionMessage) Reset() {
@@ -146,6 +147,13 @@ func (x *LLMChatCompletionMessage) GetToolCallId() string {
 	return ""
 }
 
+func (x *LLMChatCompletionMessage) GetImages() []string {
+	if x != nil {
+		return x.Images
+	}
+	return nil
+}
+
 type FunctionCallingParameter struct {
 	state         protoimpl.MessageState
 	sizeCache     protoimpl.SizeCache
@@ -932,147 +940,148 @@ var file_model_unollm_proto_rawDesc = []byte{
 	0x20, 0x01, 0x28, 0x03, 0x52, 0x0b, 0x70, 0x72, 0x6f, 0x6d, 0x70, 0x74, 0x54, 0x6f, 0x6b, 0x65,
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 }
 
 var (
diff --git a/model/unollm.proto b/model/unollm.proto
index cea9a28..7376cdd 100644
--- a/model/unollm.proto
+++ b/model/unollm.proto
@@ -13,6 +13,7 @@ message LLMChatCompletionMessage {
   string role = 1;
   string content = 2;
   optional string tool_call_id = 3;
+  repeated string images = 4;
 }
 
 
diff --git a/provider/Anthropic/api.go b/provider/Anthropic/api.go
new file mode 100644
index 0000000..1c3618a
--- /dev/null
+++ b/provider/Anthropic/api.go
@@ -0,0 +1,87 @@
+package anthropic
+
+import (
+	"encoding/xml"
+	"net/http"
+)
+
+type Client struct {
+	key string
+	hc  *http.Client
+}
+
+func NewClient(key string) *Client {
+	return &Client{
+		key: key,
+		hc:  &http.Client{},
+	}
+}
+
+type Message struct {
+	Role    string `json:"role"`
+	Content string `json:"content"`
+}
+
+type ChatCompletionRequest struct {
+	Model       string    `json:"model"`
+	Messages    []Message `json:"messages"`
+	MaxTokens   int       `json:"max_tokens"` // 4096
+	Stream      bool      `json:"stream,omitempty"`
+	Temperature float64   `json:"temperature,omitempty"`
+	TopP        float64   `json:"top_p,omitempty"`
+	TopK        float64   `json:"top_k,omitempty"`
+}
+
+type Content struct {
+	Text string `json:"text"`
+	Type string `json:"type"`
+}
+
+type Usage struct {
+	InputTokens  int `json:"input_tokens"`
+	OutputTokens int `json:"output_tokens"`
+}
+type ChatCompletionResponse struct {
+	Content      []Content `json:"content"`
+	Id           string    `json:"id"`
+	Model        string    `json:"model"`
+	Role         string    `json:"role"`
+	StopReason   string    `json:"stop_reason"`
+	StopSequence string    `json:"stop_sequence,omitempty"`
+	Type         string    `json:"type"`
+	Usage        Usage     `json:"usage"`
+}
+
+const OPUS = "claude-3-opus-20240229"
+const SONNET = "claude-3-sonnet-20240229"
+
+type FunctionCalling struct {
+	XMLName xml.Name `xml:"config"` // 指定最外层的标签为config
+}
+
+// type StreamMessageStartMessage struct {
+// 	Id    string `json:"id"`
+// 	Type  string `json:"type"`
+// 	Role  string `json:"role"`
+// 	Model string `json:"model"`
+// 	Usage Usage  `json:"usage"`
+// }
+
+// type StreamMessageStart struct {
+// 	Type    string                    `json:"type"`
+// 	Message StreamMessageStartMessage `json:"message"`
+// }
+
+type StreamResponseDelta struct {
+	Type         string `json:"type"`
+	Text         string `json:"text"`
+	StopReason   string `json:"stop_reason"`
+	StopSequence string `json:"stop_sequence"`
+	Usage        Usage  `json:"usage"`
+}
+
+type StreamResponse struct {
+	Type  string              `json:"type"`
+	Index int                 `json:"index"`
+	Delta StreamResponseDelta `json:"delta"`
+}
diff --git a/provider/Anthropic/chat_completion.go b/provider/Anthropic/chat_completion.go
new file mode 100644
index 0000000..1fa23e9
--- /dev/null
+++ b/provider/Anthropic/chat_completion.go
@@ -0,0 +1,42 @@
+package anthropic
+
+import (
+	"bytes"
+	"encoding/json"
+	"io"
+	"net/http"
+)
+
+func ChatCompletion(cli *Client, req ChatCompletionRequest) (*ChatCompletionResponse, error) {
+	reqBytes, err := json.Marshal(req)
+	if err != nil {
+		return nil, err
+	}
+
+	httpreq, err := http.NewRequest(
+		"POST",
+		"https://api.anthropic.com/v1/messages",
+		bytes.NewBuffer(reqBytes),
+	)
+	if err != nil {
+		return nil, err
+	}
+	httpreq.Header.Set("x-api-key", cli.key)
+	httpreq.Header.Set("anthropic-version", "2023-06-01")
+	httpreq.Header.Set("content-type", "application/json")
+	resp, err := cli.hc.Do(httpreq)
+	if err != nil {
+		return nil, err
+	}
+	defer resp.Body.Close()
+	bts, err := io.ReadAll(resp.Body)
+	if err != nil {
+		return nil, err
+	}
+	var respp ChatCompletionResponse
+	err = json.Unmarshal(bts, &respp)
+	if err != nil {
+		return nil, err
+	}
+	return &respp, nil
+}
diff --git a/provider/Anthropic/stream_chat_completion.go b/provider/Anthropic/stream_chat_completion.go
new file mode 100644
index 0000000..5b28453
--- /dev/null
+++ b/provider/Anthropic/stream_chat_completion.go
@@ -0,0 +1,79 @@
+package anthropic
+
+import (
+	"bytes"
+	"encoding/json"
+	"log"
+	"net/http"
+	"strings"
+
+	"go.limit.dev/unollm/utils"
+)
+
+func (c *Client) ChatCompletionStreamingRequest(body *ChatCompletionRequest) (chan StreamResponse, error) {
+	body.Stream = true
+	reqBody, err := json.Marshal(body)
+	if err != nil {
+		return nil, err
+
+	}
+
+	req, err := http.NewRequest("POST", "https://api.anthropic.com/v1/messages", bytes.NewReader(reqBody))
+	if err != nil {
+		return nil, err
+	}
+	req.Header.Set("Content-Type", "application/json")
+	req.Header.Set("x-api-key", c.key)
+	req.Header.Set("anthropic-version", "2023-06-01")
+	req.Header.Set("X-Stainless-Stream-Helper", "messages")
+
+	resp, err := c.hc.Do(req)
+	if err != nil {
+		return nil, err
+
+	}
+
+	reader := utils.NewEventStreamReader(resp.Body, 4096)
+
+	res := make(chan StreamResponse)
+
+	go func() error {
+		defer resp.Body.Close()
+		var jj map[string]any
+		var jjj StreamResponse
+		for reader.Scanner.Scan() {
+			text := reader.Scanner.Text()
+			// read from first \n to the end of the text
+			event := text[:strings.Index(text, "\n")]
+			text = text[strings.Index(text, "\n")+1+6:]
+			log.Println(event)
+			log.Println(text)
+			if strings.Contains(event, "error") {
+				log.Println(text)
+				break
+			}
+			if strings.Contains(event, "message_stop") {
+				jjj.Delta.Usage.InputTokens = int(jj["message"].(map[string]any)["usage"].(map[string]any)["input_tokens"].(float64))
+				res <- StreamResponse{Type: "STOP", Delta: StreamResponseDelta{
+					Usage: jjj.Delta.Usage,
+				}}
+				return nil
+			}
+			if jj != nil {
+				err = json.NewDecoder(strings.NewReader(text)).Decode(&jjj)
+				if err != nil {
+					log.Println(err)
+					return nil
+				}
+				res <- jjj
+			} else {
+				err := json.NewDecoder(strings.NewReader(text)).Decode(&jj)
+				if err != nil {
+					break
+				}
+			}
+		}
+		return reader.Scanner.Err()
+	}()
+	return res, nil
+}
diff --git a/provider/ChatGLM/api.go b/provider/ChatGLM/api.go
index 91d490e..dde6db9 100644
--- a/provider/ChatGLM/api.go
+++ b/provider/ChatGLM/api.go
@@ -10,9 +10,22 @@ const (
 	ModelGLM4V     = "glm-4v"
 )
 
+type ChatCompletionTextContent struct {
+	Type string `json:"type"`
+	Text string `json:"text"`
+}
+
+type Image struct {
+	Url string `json:"url"`
+}
+type ChatCompletionImageContent struct {
+	Type     string `json:"type"`
+	ImageUrl Image  `json:"image_url"`
+}
+
 type ChatCompletionMessage struct {
 	Role      string        `json:"role"`
-	Content   string        `json:"content"`
+	Content   any           `json:"content"`
 	ToolCalls []GLMToolCall `json:"tool_calls,omitempty"`
 }
 
diff --git a/relay/reqTransformer/ChatGLM.go b/relay/reqTransformer/ChatGLM.go
index 04bdd3e..4a89eab 100644
--- a/relay/reqTransformer/ChatGLM.go
+++ b/relay/reqTransformer/ChatGLM.go
@@ -49,9 +49,20 @@ func ChatGLMGrpcChatCompletionReq(rs *model.LLMRequestSchema) ChatGLM.ChatComple
 	}
 
 	for _, m := range messages {
+		contents := make([]any, 0)
+		contents = append(contents, ChatGLM.ChatCompletionTextContent{
+			Type: "text",
+			Text: m.GetContent(),
+		})
+		for _, i := range m.GetImages() {
+			contents = append(contents, ChatGLM.ChatCompletionImageContent{
+				Type:     "image_url",
+				ImageUrl: ChatGLM.Image{Url: i},
+			})
+		}
 		req.Messages = append(req.Messages, ChatGLM.ChatCompletionMessage{
 			Role:    m.GetRole(),
-			Content: m.GetContent(),
+			Content: contents,
 		})
 	}
 	return req
@@ -88,8 +99,13 @@ func ChatGLMFromOpenAIChatCompletionReq(req openai.ChatCompletionRequest) ChatGL
 
 	for _, m := range req.Messages {
 		zpReq.Messages = append(zpReq.Messages, ChatGLM.ChatCompletionMessage{
-			Role:    m.Role,
-			Content: m.Content,
+			Role: m.Role,
+			Content: []any{
+				ChatGLM.ChatCompletionTextContent{
+					Type: "text",
+					Text: m.Content,
+				},
+			},
 		})
 	}
 	return zpReq
diff --git a/relay/reqTransformer/ChatGPT.go b/relay/reqTransformer/ChatGPT.go
index 814e73b..ea55342 100644
--- a/relay/reqTransformer/ChatGPT.go
+++ b/relay/reqTransformer/ChatGPT.go
@@ -99,9 +99,22 @@ func ChatGPTGrpcChatCompletionReq(rs *model.LLMRequestSchema) openai.ChatComplet
 	messages := rs.GetMessages()
 	var openaiMessages []openai.ChatCompletionMessage
 	for _, m := range messages {
+		content := make([]openai.ChatMessagePart, 0)
+		content = append(content, openai.ChatMessagePart{
+			Type: "text",
+			Text: m.GetContent(),
+		})
+		for _, i := range m.GetImages() {
+			content = append(content, openai.ChatMessagePart{
+				Type: "image_url",
+				ImageURL: &openai.ChatMessageImageURL{
+					URL: i,
+				},
+			})
+		}
 		openaiMessages = append(openaiMessages, openai.ChatCompletionMessage{
-			Role:    m.GetRole(),
-			Content: m.GetContent(),
+			Role:         m.GetRole(),
+			MultiContent: content,
 		})
 	}
 	if len(rs.LlmRequestInfo.Functions) == 0 {
diff --git a/relay/respTransformer/ChatGLM_Grpc.go b/relay/respTransformer/ChatGLM_Grpc.go
index a597e55..91acfa1 100644
--- a/relay/respTransformer/ChatGLM_Grpc.go
+++ b/relay/respTransformer/ChatGLM_Grpc.go
@@ -10,7 +10,7 @@ func ChatGLMToGrpcCompletion(res ChatGLM.ChatCompletionResponse) (*model.LLMResp
 	content := res.Choices[0].Message.Content
 	retMessage := model.LLMChatCompletionMessage{
 		Role:    res.Choices[0].Message.Role,
-		Content: content,
+		Content: content.(string),
 	}
 	count := model.LLMTokenCount{
 		TotalToken:      int64(res.Usage.TotalTokens),
@@ -53,7 +53,7 @@ func ChatGLMToGrpcStream(_r *ChatGLM.ChatCompletionStreamingResponse, sv model.U
 			resp := model.PartialLLMResponse{
 				ToolCalls: toolCalls,
 				Response: &model.PartialLLMResponse_Content{
-					Content: chunk.Choices[0].Delta.Content,
+					Content: chunk.Choices[0].Delta.Content.(string),
 				},
 			}
 			sv.Send(&resp)
diff --git a/tests_grpc/anthropic_test.go b/tests_grpc/anthropic_test.go
new file mode 100644
index 0000000..6f4d252
--- /dev/null
+++ b/tests_grpc/anthropic_test.go
@@ -0,0 +1,83 @@
+package tests_grpc
+
+import (
+	"context"
+	"log"
+	"os"
+	"testing"
+
+	"github.com/joho/godotenv"
+	"go.limit.dev/unollm/grpcServer"
+	"go.limit.dev/unollm/model"
+	"go.limit.dev/unollm/utils"
+)
+
+func TestAnthropic(t *testing.T) {
+	godotenv.Load("../.env")
+
+	messages := make([]*model.LLMChatCompletionMessage, 0)
+	messages = append(messages, &model.LLMChatCompletionMessage{
+		Role:    "user",
+		Content: "假如今天下大雨，我是否需要带伞？",
+	})
+	AnthropicApiKey := os.Getenv("TEST_ANTHROPIC_API")
+	req_info := model.LLMRequestInfo{
+		LlmApiType:  grpcServer.ANTHROPIC_LLM_API,
+		Model:       "claude-3-opus-20240229",
+		Temperature: 0.9,
+		TopP:        0.9,
+		TopK:        1,
+		Url:         "",
+		Token:       AnthropicApiKey,
+	}
+	req := model.LLMRequestSchema{
+		Messages:       messages,
+		LlmRequestInfo: &req_info,
+	}
+	mockServer := grpcServer.UnoForwardServer{}
+	res, err := mockServer.BlockingRequestLLM(context.Background(), &req)
+	if err != nil {
+		t.Error(err)
+	}
+	log.Println("res: ", res)
+}
+
+func TestAnthropicStreaming(t *testing.T) {
+	godotenv.Load("../.env")
+
+	messages := make([]*model.LLMChatCompletionMessage, 0)
+	messages = append(messages, &model.LLMChatCompletionMessage{
+		Role:    "user",
+		Content: "假如今天下大雨，我是否需要带伞？",
+	})
+	AnthropicApiKey := os.Getenv("TEST_ANTHROPIC_API")
+	req_info := model.LLMRequestInfo{
+		LlmApiType:  grpcServer.ANTHROPIC_LLM_API,
+		Model:       "claude-3-opus-20240229",
+		Temperature: 0.9,
+		TopP:        0.9,
+		TopK:        1,
+		Url:         "",
+		Token:       AnthropicApiKey,
+	}
+	req := model.LLMRequestSchema{
+		Messages:       messages,
+		LlmRequestInfo: &req_info,
+	}
+	mockServer := grpcServer.UnoForwardServer{}
+	mockServerPipe := utils.MockServerStream{
+		Stream: make(chan *model.PartialLLMResponse, 1000),
+	}
+	err := mockServer.StreamRequestLLM(&req, &mockServerPipe)
+	if err != nil {
+		t.Error(err)
+	}
+	for {
+		res := <-mockServerPipe.Stream
+		log.Println(res)
+		if res.LlmTokenCount != nil {
+			log.Println(res.LlmTokenCount)
+			return
+		}
+	}
+}
diff --git a/tests_grpc/chatglm_test.go b/tests_grpc/chatglm_test.go
index 3ffc980..c8b7d04 100644
--- a/tests_grpc/chatglm_test.go
+++ b/tests_grpc/chatglm_test.go
@@ -112,6 +112,7 @@ func TestChatGLMFunctionCalling(t *testing.T) {
 					},
 					{
 						Name:  "unit",
+						Type:  "string",
 						Enums: []string{"celsius", "fahrenheit"},
 					},
 				},
@@ -143,3 +144,44 @@ func TestChatGLMFunctionCalling(t *testing.T) {
 	}
 	log.Printf("res: %#v", res.ToolCalls[0])
 }
+
+func TestChatGLMImageStreaming(t *testing.T) {
+	godotenv.Load("../.env")
+	url := "https://www.baidu.com/img/flexible/logo/pc/result@2.png"
+	messages := make([]*model.LLMChatCompletionMessage, 0)
+	messages = append(messages, &model.LLMChatCompletionMessage{
+		Role:    "user",
+		Content: "请描述这张图片",
+		Images:  []string{url},
+	})
+	zhipuaiApiKey := os.Getenv("TEST_ZHIPUAI_API")
+	req_info := model.LLMRequestInfo{
+		LlmApiType:  grpcServer.CHATGLM_LLM_API,
+		Model:       ChatGLM.ModelGLM4V,
+		Temperature: 0.9,
+		TopP:        0.9,
+		TopK:        1,
+		Url:         "",
+		Token:       zhipuaiApiKey,
+	}
+	req := model.LLMRequestSchema{
+		Messages:       messages,
+		LlmRequestInfo: &req_info,
+	}
+	mockServer := grpcServer.UnoForwardServer{}
+	mockServerPipe := utils.MockServerStream{
+		Stream: make(chan *model.PartialLLMResponse, 1000),
+	}
+	err := mockServer.StreamRequestLLM(&req, &mockServerPipe)
+	if err != nil {
+		t.Error(err)
+	}
+	for {
+		res := <-mockServerPipe.Stream
+		log.Println(res)
+		if res.LlmTokenCount != nil {
+			log.Println(res.LlmTokenCount)
+			return
+		}
+	}
+}
diff --git a/tests_grpc/openai_test.go b/tests_grpc/openai_test.go
index c80762e..5b834b2 100644
--- a/tests_grpc/openai_test.go
+++ b/tests_grpc/openai_test.go
@@ -151,3 +151,45 @@ func TestOpenAIEmbedding(t *testing.T) {
 	}
 	log.Printf("res: %#v", res)
 }
+
+func TestOpenAIImageStreaming(t *testing.T) {
+	godotenv.Load("../.env")
+	OPENAIApiKey := os.Getenv("TEST_OPENAI_API")
+	url := "https://www.baidu.com/img/flexible/logo/pc/result@2.png"
+	messages := make([]*model.LLMChatCompletionMessage, 0)
+	messages = append(messages, &model.LLMChatCompletionMessage{
+		Role:    "user",
+		Content: "请描述这张图片",
+		Images:  []string{url},
+	})
+
+	req_info := model.LLMRequestInfo{
+		LlmApiType:  grpcServer.OPENAI_LLM_API,
+		Model:       openai.GPT4VisionPreview,
+		Temperature: 0.9,
+		TopP:        0.9,
+		TopK:        1,
+		Url:         "https://api.openai-sb.com/v1",
+		Token:       OPENAIApiKey,
+	}
+	req := model.LLMRequestSchema{
+		Messages:       messages,
+		LlmRequestInfo: &req_info,
+	}
+	mockServer := grpcServer.UnoForwardServer{}
+	mockServerPipe := utils.MockServerStream{
+		Stream: make(chan *model.PartialLLMResponse, 1000),
+	}
+	err := mockServer.StreamRequestLLM(&req, &mockServerPipe)
+	if err != nil {
+		t.Fatal(err)
+	}
+	for {
+		res := <-mockServerPipe.Stream
+		log.Println(res)
+		if res.LlmTokenCount != nil {
+			log.Println(res.LlmTokenCount)
+			return
+		}
+	}
+}