lmcli/openai.go

package main

import (
	"context"
	"errors"
	"fmt"
	"io"
	openai "github.com/sashabaranov/go-openai"
)

func CreateChatCompletionRequest(messages []Message) (openai.ChatCompletionRequest) {
	var chatCompletionMessages []openai.ChatCompletionMessage
	for _, m := range(messages) {
		chatCompletionMessages = append(chatCompletionMessages, openai.ChatCompletionMessage{
			Role: m.Role,
			Content: m.OriginalContent,
		})
	}

	return openai.ChatCompletionRequest{
		Model:     openai.GPT4,
		MaxTokens: 256,
		Messages: chatCompletionMessages,
		Stream: true,
	}
}

// CreateChatCompletion accepts a slice of Message and returns the response
// of the Large Language Model.
func CreateChatCompletion(system string, messages []Message) (string, error) {
	client := openai.NewClient(config.OpenAI.APIKey)
	resp, err := client.CreateChatCompletion(
		context.Background(),
		CreateChatCompletionRequest(messages),
	)

	if err != nil {
		return "", fmt.Errorf("ChatCompletion error: %v\n", err)
	}

	return resp.Choices[0].Message.Content, nil
}

func CreateChatCompletionStream(system string, messages []Message, output io.Writer) (error) {
	client := openai.NewClient(config.OpenAI.APIKey)
	ctx := context.Background()

	req := CreateChatCompletionRequest(messages)
	req.Stream = true

	stream, err := client.CreateChatCompletionStream(ctx, req)
	if err != nil {
		return err
	}

	defer stream.Close()

	for {
		response, err := stream.Recv()
		if errors.Is(err, io.EOF) {
			return nil
		}

		if err != nil {
			//fmt.Printf("\nStream error: %v\n", err)
			return err
		}

		fmt.Fprint(output, response.Choices[0].Delta.Content)
	}
}