package openai import ( "context" "encoding/base64" "fmt" "strings" "github.com/pkoukk/tiktoken-go" "github.com/yaoapp/gou/connector" "github.com/yaoapp/gou/http" "github.com/yaoapp/kun/exception" "github.com/yaoapp/kun/utils" "github.com/yaoapp/yao/share" ) // Tiktoken get number of tokens func Tiktoken(model string, input string) (int, error) { tkm, err := tiktoken.EncodingForModel(model) if err != nil { return 0, err } token := tkm.Encode(input, nil, nil) return len(token), nil } // OpenAI struct type OpenAI struct { key string model string host string organization string maxToken int } // New create a new OpenAI instance by connector id func New(id string) (*OpenAI, error) { c, err := connector.Select(id) if err != nil { return nil, err } if !c.Is(connector.OPENAI) { return nil, fmt.Errorf("The connector %s is not a OpenAI connector", id) } setting := c.Setting() return &OpenAI{ key: setting["key"].(string), model: setting["model"].(string), host: setting["host"].(string), organization: "", maxToken: 2048, }, nil } // NewMoapi create a new OpenAI instance by model // Temporarily: change after the moapi is open source func NewMoapi(model string) (*OpenAI, error) { if model == "" { model = "gpt-3.5-turbo" } url := share.MoapiHosts[0] if share.App.Moapi.Mirrors != nil { url = share.App.Moapi.Mirrors[0] } key := share.App.Moapi.Secret organization := share.App.Moapi.Organization if !strings.HasPrefix(url, "http") { url = "https://" + url } if key == "" { return nil, fmt.Errorf("The moapi secret is empty") } return &OpenAI{ key: key, model: model, host: url, organization: organization, maxToken: 16384, }, nil } // Completions Creates a completion for the provided prompt and parameters. // https://platform.openai.com/docs/api-reference/completions/create func (openai OpenAI) Completions(prompt interface{}, option map[string]interface{}, cb func(data []byte) int) (interface{}, *exception.Exception) { if option == nil { option = map[string]interface{}{} } option["prompt"] = prompt if cb != nil { option["stream"] = true return nil, openai.stream(context.Background(), "/v1/completions", option, cb) } option["stream"] = false return openai.post("/v1/completions", option) } // CompletionsWith Creates a completion for the provided prompt and parameters. // https://platform.openai.com/docs/api-reference/completions/create func (openai OpenAI) CompletionsWith(ctx context.Context, prompt interface{}, option map[string]interface{}, cb func(data []byte) int) (interface{}, *exception.Exception) { if option == nil { option = map[string]interface{}{} } option["prompt"] = prompt if cb != nil { option["stream"] = true return nil, openai.stream(ctx, "/v1/completions", option, cb) } option["stream"] = false return openai.post("/v1/completions", option) } // ChatCompletions Creates a model response for the given chat conversation. // https://platform.openai.com/docs/api-reference/chat/create func (openai OpenAI) ChatCompletions(messages []map[string]interface{}, option map[string]interface{}, cb func(data []byte) int) (interface{}, *exception.Exception) { if option == nil { option = map[string]interface{}{} } option["messages"] = messages if cb != nil { option["stream"] = true return nil, openai.stream(context.Background(), "/v1/chat/completions", option, cb) } option["stream"] = false return openai.post("/v1/chat/completions", option) } // ChatCompletionsWith Creates a model response for the given chat conversation. // https://platform.openai.com/docs/api-reference/chat/create func (openai OpenAI) ChatCompletionsWith(ctx context.Context, messages []map[string]interface{}, option map[string]interface{}, cb func(data []byte) int) (interface{}, *exception.Exception) { if option == nil { option = map[string]interface{}{} } option["messages"] = messages if cb != nil { option["stream"] = true return nil, openai.stream(ctx, "/v1/chat/completions", option, cb) } option["stream"] = false return openai.post("/v1/chat/completions", option) } // Edits Creates a new edit for the provided input, instruction, and parameters. // https://platform.openai.com/docs/api-reference/edits/create func (openai OpenAI) Edits(instruction string, option map[string]interface{}) (interface{}, *exception.Exception) { if option == nil { option = map[string]interface{}{} } option["instruction"] = instruction return openai.post("/v1/edits", option) } // Embeddings Creates an embedding vector representing the input text. // https://platform.openai.com/docs/api-reference/embeddings/create func (openai OpenAI) Embeddings(input interface{}, user string) (interface{}, *exception.Exception) { payload := map[string]interface{}{"input": input} if user != "" { payload["user"] = user } return openai.post("/v1/embeddings", payload) } // AudioTranscriptions Transcribes audio into the input language. // https://platform.openai.com/docs/api-reference/audio/create func (openai OpenAI) AudioTranscriptions(dataBase64 string, option map[string]interface{}) (interface{}, *exception.Exception) { data, err := base64.StdEncoding.DecodeString(dataBase64) if err != nil { return nil, exception.New("Base64 error :%s", 400, err.Error()) } if option == nil { option = map[string]interface{}{} } return openai.postFile("/v1/audio/transcriptions", map[string][]byte{"file": data}, option) } // ImagesGenerations Creates an image given a prompt. // https://platform.openai.com/docs/api-reference/images func (openai OpenAI) ImagesGenerations(prompt string, option map[string]interface{}) (interface{}, *exception.Exception) { if option == nil { option = map[string]interface{}{} } if option["response_format"] == nil { option["response_format"] = "b64_json" } option["prompt"] = prompt utils.Dump(option) return openai.postWithoutModel("/v1/images/generations", option) } // ImagesEdits Creates an edited or extended image given an original image and a prompt. // https://platform.openai.com/docs/api-reference/images/create-edit func (openai OpenAI) ImagesEdits(imageBase64 string, prompt string, option map[string]interface{}) (interface{}, *exception.Exception) { image, err := base64.StdEncoding.DecodeString(imageBase64) if err != nil { return nil, exception.New("Base64 error :%s", 400, err.Error()) } files := map[string][]byte{"image": image} if option == nil { option = map[string]interface{}{} } if maskBase64, ok := option["mask"].(string); ok { mask, err := base64.StdEncoding.DecodeString(maskBase64) if err != nil { return nil, exception.New("Base64 error :%s", 400, err.Error()) } files["mask"] = mask } if option["response_format"] == nil { option["response_format"] = "b64_json" } option["prompt"] = prompt return openai.postFileWithoutModel("/v1/images/edits", files, option) } // ImagesVariations Creates a variation of a given image. // https://platform.openai.com/docs/api-reference/images/create-variation func (openai OpenAI) ImagesVariations(imageBase64 string, option map[string]interface{}) (interface{}, *exception.Exception) { image, err := base64.StdEncoding.DecodeString(imageBase64) if err != nil { return nil, exception.New("Base64 error :%s", 400, err.Error()) } files := map[string][]byte{"image": image} if option == nil { option = map[string]interface{}{} } if option["response_format"] == nil { option["response_format"] = "b64_json" } return openai.postFileWithoutModel("/v1/images/variations", files, option) } // Tiktoken get number of tokens func (openai OpenAI) Tiktoken(input string) (int, error) { tkm, err := tiktoken.EncodingForModel(openai.model) if err != nil { return 0, err } token := tkm.Encode(input, nil, nil) return len(token), nil } // MaxToken get max number of tokens func (openai OpenAI) MaxToken() int { return openai.maxToken } // GetContent get the content of chat completions func (openai OpenAI) GetContent(response interface{}) (string, *exception.Exception) { if response == nil { return "", exception.New("response is nil", 500) } if data, ok := response.(map[string]interface{}); ok { if choices, ok := data["choices"].([]interface{}); ok { if len(choices) == 0 { return "", exception.New("choices is null, %v", 500, response) } if choice, ok := choices[0].(map[string]interface{}); ok { if message, ok := choice["message"].(map[string]interface{}); ok { if content, ok := message["content"].(string); ok { return content, nil } } } } } return "", exception.New("response format error, %#v", 500, response) } // Post post request func (openai OpenAI) Post(path string, payload map[string]interface{}) (interface{}, *exception.Exception) { return openai.post(path, payload) } // Stream post request func (openai OpenAI) Stream(ctx context.Context, path string, payload map[string]interface{}, cb func(data []byte) int) *exception.Exception { return openai.stream(ctx, path, payload, cb) } // post post request func (openai OpenAI) post(path string, payload map[string]interface{}) (interface{}, *exception.Exception) { url := fmt.Sprintf("%s%s", openai.host, path) key := fmt.Sprintf("Bearer %s", openai.key) payload["model"] = openai.model req := http.New(url). WithHeader(map[string][]string{"Authorization": {key}}) res := req.Post(payload) if err := openai.isError(res); err != nil { return nil, err } return res.Data, nil } // post post request without model func (openai OpenAI) postWithoutModel(path string, payload map[string]interface{}) (interface{}, *exception.Exception) { url := fmt.Sprintf("%s%s", openai.host, path) key := fmt.Sprintf("Bearer %s", openai.key) req := http.New(url). WithHeader(map[string][]string{"Authorization": {key}}) res := req.Post(payload) if err := openai.isError(res); err != nil { return nil, err } return res.Data, nil } // post post request with file func (openai OpenAI) postFile(path string, files map[string][]byte, option map[string]interface{}) (interface{}, *exception.Exception) { url := fmt.Sprintf("%s%s", openai.host, path) key := fmt.Sprintf("Bearer %s", openai.key) option["model"] = openai.model req := http.New(url). WithHeader(map[string][]string{ "Authorization": {key}, "Content-Type": {"multipart/form-data"}, }) for name, data := range files { req.AddFileBytes(name, fmt.Sprintf("%s.mp3", name), data) } res := req.Send("POST", option) if err := openai.isError(res); err != nil { return nil, err } return res.Data, nil } // post post request with file without model func (openai OpenAI) postFileWithoutModel(path string, files map[string][]byte, option map[string]interface{}) (interface{}, *exception.Exception) { url := fmt.Sprintf("%s%s", openai.host, path) key := fmt.Sprintf("Bearer %s", openai.key) req := http.New(url). WithHeader(map[string][]string{ "Authorization": {key}, "Content-Type": {"multipart/form-data"}, }) for name, data := range files { req.AddFileBytes(name, fmt.Sprintf("%s.mp3", name), data) } res := req.Send("POST", option) if err := openai.isError(res); err != nil { return nil, err } return res.Data, nil } // stream post request func (openai OpenAI) stream(ctx context.Context, path string, payload map[string]interface{}, cb func(data []byte) int) *exception.Exception { url := fmt.Sprintf("%s%s", openai.host, path) key := fmt.Sprintf("Bearer %s", openai.key) payload["model"] = openai.model req := http.New(url) err := req. WithHeader(map[string][]string{ "Content-Type": {"application/json; charset=utf-8"}, "Authorization": {key}, }). Stream(ctx, "POST", payload, cb) if err != nil { return exception.New(err.Error(), 500) } return nil } func (openai OpenAI) isError(res *http.Response) *exception.Exception { if res.Status != 200 { message := "OpenAI Error" if v, ok := res.Data.(string); ok { message = v } if data, ok := res.Data.(map[string]interface{}); ok { if err, has := data["error"]; has { if err, ok := err.(map[string]interface{}); ok { if msg, has := err["message"].(string); has { message = msg } if code, has := err["code"].(string); has { message = fmt.Sprintf("OpenAI %s %s", code, message) } } } } return exception.New(message, res.Status) } return nil }