// Copyright 2023 The casbin Authors. All Rights Reserved. // // Licensed under the Apache License, Version 2.0 (the "License"); // you may not use this file except in compliance with the License. // You may obtain a copy of the License at // // http://www.apache.org/licenses/LICENSE-2.0 // // Unless required by applicable law or agreed to in writing, software // distributed under the License is distributed on an "AS IS" BASIS, // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. // See the License for the specific language governing permissions and // limitations under the License. package ai import ( "context" "fmt" "io" "net/http" "strings" "time" "github.com/sashabaranov/go-openai" ) func queryAnswer(authToken string, question string, timeout int) (string, error) { // fmt.Printf("Question: %s\n", question) client := getProxyClientFromToken(authToken) ctx, cancel := context.WithTimeout(context.Background(), time.Duration(2+timeout*2)*time.Second) defer cancel() resp, err := client.CreateChatCompletion( ctx, openai.ChatCompletionRequest{ Model: openai.GPT3Dot5Turbo, Messages: []openai.ChatCompletionMessage{ { Role: openai.ChatMessageRoleUser, Content: question, }, }, }, ) if err != nil { return "", err } res := resp.Choices[0].Message.Content res = strings.Trim(res, "\n") // fmt.Printf("Answer: %s\n\n", res) return res, nil } func QueryAnswerSafe(authToken string, question string) string { var res string var err error for i := 0; i < 10; i++ { res, err = queryAnswer(authToken, question, i) if err != nil { if i > 0 { fmt.Printf("\tFailed (%d): %s\n", i+1, err.Error()) } } else { break } } if err != nil { panic(err) } return res } func QueryAnswerStream(authToken string, question string, writer io.Writer, builder *strings.Builder) error { client := getProxyClientFromToken(authToken) ctx := context.Background() flusher, ok := writer.(http.Flusher) if !ok { return fmt.Errorf("writer does not implement http.Flusher") } // https://platform.openai.com/tokenizer // https://github.com/pkoukk/tiktoken-go#available-encodings promptTokens, err := GetTokenSize(openai.GPT3TextDavinci003, question) if err != nil { return err } // https://platform.openai.com/docs/models/gpt-3-5 maxTokens := 4097 - promptTokens respStream, err := client.CreateCompletionStream( ctx, openai.CompletionRequest{ Model: openai.GPT3TextDavinci003, Prompt: question, MaxTokens: maxTokens, Stream: true, }, ) if err != nil { return err } defer respStream.Close() isLeadingReturn := true for { completion, streamErr := respStream.Recv() if streamErr != nil { if streamErr == io.EOF { break } return streamErr } data := completion.Choices[0].Text if isLeadingReturn && len(data) != 0 { if strings.Count(data, "\n") == len(data) { continue } else { isLeadingReturn = false } } fmt.Printf("%s", data) // Write the streamed data as Server-Sent Events if _, err = fmt.Fprintf(writer, "event: message\ndata: %s\n\n", data); err != nil { return err } flusher.Flush() // Append the response to the strings.Builder builder.WriteString(data) } return nil } func GetQuestionWithKnowledge(knowledge string, question string) string { return fmt.Sprintf(`paragraph: %s You are a reading comprehension expert. Please answer the following questions based on the provided content. The content may be in a different language from the questions, so you need to understand the content according to the language of the questions and ensure that your answers are translated into the same language as the questions: Q1: %s`, knowledge, question) }