package main import ( "bytes" "context" "encoding/json" "fmt" "io" "net/http" "time" "go.mongodb.org/mongo-driver/bson" "go.mongodb.org/mongo-driver/bson/primitive" ) type OpenaiChatCompletionRequest struct { Model string `json:"model"` Messages []OpenaiMessage `json:"messages"` Temperature float64 `json:"temperature"` } type OpenaiMessage struct { Role string `json:"role"` Content string `json:"content"` } type OpenaiChatCompletionResponse struct { ID string `json:"id"` Object string `json:"object"` Created int64 `json:"created"` Model string `json:"model"` Usage OpenaiUsage `json:"usage"` Choices []OpenaiChoice `json:"choices"` } type OpenaiUsage struct { PromptTokens int `json:"prompt_tokens"` CompletionTokens int `json:"completion_tokens"` TotalTokens int `json:"total_tokens"` } type OpenaiChoice struct { Message OpenaiMessage `json:"message"` FinishReason string `json:"finish_reason"` Index int `json:"index"` } func init() { var ModelInfosList = []ModelInfo{} modelInfo := ModelInfo{ ID: "gpt-3.5-turbo", Name: "GPT-3.5", Icon: "openai", MaxToken: 4096, InputPrice: 0.50 / 1000000, OutputPrice: 1.50 / 1000000, } ModelInfosList = append(ModelInfosList, modelInfo) modelInfo = ModelInfo{ ID: "gpt-4-turbo", Name: "GPT-4", Icon: "openai", MaxToken: 8192, InputPrice: 10.00 / 1000000, OutputPrice: 30.00 / 1000000, } ModelInfosList = append(ModelInfosList, modelInfo) companyInfo := CompanyInfo{ ID: "openai", Name: "OpenAI", Icon: "icons/openai.png", ModelInfos: ModelInfosList, } CompanyInfos = append(CompanyInfos, companyInfo) } func addOpenaiMessage(modelID string, selected bool) string { Messages := getAllMessages() chatCompletion, err := RequestOpenai(modelID, Messages, 0.7) if err != nil { fmt.Println("Error:", err) } else if len(chatCompletion.Choices) == 0 { fmt.Println(chatCompletion) fmt.Println("No response from OpenAI") collection := mongoClient.Database("chat").Collection("messages") response, err := collection.InsertOne(context.Background(), bson.M{"message": "no response", "role": "bot", "date": time.Now(), "model": modelID, "selected": selected}) if err != nil { fmt.Println(err) } return response.InsertedID.(primitive.ObjectID).Hex() } else { Content := chatCompletion.Choices[0].Message.Content collection := mongoClient.Database("chat").Collection("messages") response, err := collection.InsertOne(context.Background(), bson.M{"message": Content, "role": "bot", "date": time.Now(), "model": modelID, "selected": selected}) if err != nil { fmt.Println(err) } return response.InsertedID.(primitive.ObjectID).Hex() } return "" } func Messages2OpenaiMessages(messages []Message) []OpenaiMessage { openaiMessages := make([]OpenaiMessage, len(messages)) for i, msg := range messages { var role string switch msg.Role { case "user": role = "user" case "bot": role = "assistant" default: role = "system" } openaiMessages[i] = OpenaiMessage{ Role: role, Content: msg.Content, } } return openaiMessages } func RequestOpenai(model string, messages []Message, temperature float64) (OpenaiChatCompletionResponse, error) { apiKey := "sk-proj-f7StCvXCtcmiOOayiVmgT3BlbkFJlVtAcOo3JcrnGq1cPa5o" // TODO Use env variable url := "https://api.openai.com/v1/chat/completions" // Convert messages to OpenAI format openaiMessages := Messages2OpenaiMessages(messages) requestBody := OpenaiChatCompletionRequest{ Model: model, Messages: openaiMessages, Temperature: temperature, } jsonBody, err := json.Marshal(requestBody) if err != nil { return OpenaiChatCompletionResponse{}, fmt.Errorf("error marshaling JSON: %w", err) } req, err := http.NewRequest("POST", url, bytes.NewBuffer(jsonBody)) if err != nil { return OpenaiChatCompletionResponse{}, fmt.Errorf("error creating request: %w", err) } req.Header.Set("Content-Type", "application/json") req.Header.Set("Authorization", "Bearer "+apiKey) client := &http.Client{} resp, err := client.Do(req) if err != nil { return OpenaiChatCompletionResponse{}, fmt.Errorf("error sending request: %w", err) } defer resp.Body.Close() body, err := io.ReadAll(resp.Body) if err != nil { return OpenaiChatCompletionResponse{}, fmt.Errorf("error reading response body: %w", err) } var chatCompletionResponse OpenaiChatCompletionResponse err = json.Unmarshal(body, &chatCompletionResponse) if err != nil { return OpenaiChatCompletionResponse{}, fmt.Errorf("error unmarshaling JSON: %w", err) } return chatCompletionResponse, nil }