111 lines
2.8 KiB
Go
111 lines
2.8 KiB
Go
package llm
|
|
|
|
import (
|
|
"context"
|
|
"errors"
|
|
"github.com/sashabaranov/go-openai"
|
|
"log/slog"
|
|
)
|
|
|
|
var (
|
|
ErrLlmBackendRequestFailed = errors.New("llm back-end request failed")
|
|
ErrNoChoices = errors.New("no choices in LLM response")
|
|
|
|
ModelMistralUncensored = "dolphin-mistral:7b-v2.8-q4_K_M"
|
|
ModelLlama3Uncensored = "dolphin-llama3:8b-v2.9-q4_K_M"
|
|
)
|
|
|
|
type LlmConnector struct {
|
|
client *openai.Client
|
|
}
|
|
|
|
func NewConnector(baseUrl string, token string) *LlmConnector {
|
|
config := openai.DefaultConfig(token)
|
|
config.BaseURL = baseUrl
|
|
|
|
client := openai.NewClientWithConfig(config)
|
|
|
|
return &LlmConnector{
|
|
client: client,
|
|
}
|
|
}
|
|
|
|
func (l *LlmConnector) HandleSingleRequest(text string, model string, requestContext RequestContext) (string, error) {
|
|
systemPrompt := "You're a bot in the Telegram chat. " +
|
|
"You're using a free model called \"" + model + "\". " +
|
|
"You see only messages addressed to you using commands due to privacy settings."
|
|
|
|
if !requestContext.Empty {
|
|
systemPrompt += " " + requestContext.Prompt()
|
|
}
|
|
|
|
req := openai.ChatCompletionRequest{
|
|
Model: model,
|
|
Messages: []openai.ChatCompletionMessage{
|
|
{
|
|
Role: openai.ChatMessageRoleSystem,
|
|
Content: systemPrompt,
|
|
},
|
|
},
|
|
}
|
|
|
|
req.Messages = append(req.Messages, openai.ChatCompletionMessage{
|
|
Role: openai.ChatMessageRoleUser,
|
|
Content: text,
|
|
})
|
|
|
|
resp, err := l.client.CreateChatCompletion(context.Background(), req)
|
|
if err != nil {
|
|
slog.Error("llm: LLM back-end request failed", "error", err)
|
|
|
|
return "", ErrLlmBackendRequestFailed
|
|
}
|
|
|
|
slog.Debug("llm: Received LLM back-end response", "response", resp)
|
|
|
|
if len(resp.Choices) < 1 {
|
|
slog.Error("llm: LLM back-end reply has no choices")
|
|
|
|
return "", ErrNoChoices
|
|
}
|
|
|
|
return resp.Choices[0].Message.Content, nil
|
|
}
|
|
|
|
func (l *LlmConnector) Summarize(text string, model string) (string, error) {
|
|
req := openai.ChatCompletionRequest{
|
|
Model: model,
|
|
Messages: []openai.ChatCompletionMessage{
|
|
{
|
|
Role: openai.ChatMessageRoleSystem,
|
|
Content: "You're a text shortener. Give a very brief summary of the main facts " +
|
|
"point by point. Format them as a list of bullet points. " +
|
|
"Avoid any commentaries and value judgement on the matter. " +
|
|
"If possible, use the same language as the original text.",
|
|
},
|
|
},
|
|
}
|
|
|
|
req.Messages = append(req.Messages, openai.ChatCompletionMessage{
|
|
Role: openai.ChatMessageRoleUser,
|
|
Content: text,
|
|
})
|
|
|
|
resp, err := l.client.CreateChatCompletion(context.Background(), req)
|
|
if err != nil {
|
|
slog.Error("llm: LLM back-end request failed", "error", err)
|
|
|
|
return "", ErrLlmBackendRequestFailed
|
|
}
|
|
|
|
slog.Debug("llm: Received LLM back-end response", resp)
|
|
|
|
if len(resp.Choices) < 1 {
|
|
slog.Error("llm: LLM back-end reply has no choices")
|
|
|
|
return "", ErrNoChoices
|
|
}
|
|
|
|
return resp.Choices[0].Message.Content, nil
|
|
}
|