Files
knowledge-graph-agent/backend/internal/llm/client.go
T
2026-04-20 15:34:40 +08:00

67 lines
1.8 KiB
Go

package llm
import (
"context"
"fmt"
"knowledge-graph-backend/internal/config"
"log"
"github.com/tmc/langchaingo/llms"
"github.com/tmc/langchaingo/llms/openai"
)
type Client struct {
model llms.Model
config config.LLMConfig
}
func NewClient(cfg config.LLMConfig) (*Client, error) {
model, err := openai.New(
openai.WithToken(cfg.APIKey),
openai.WithBaseURL(cfg.BaseURL),
openai.WithModel(cfg.Model),
)
if err != nil {
return nil, fmt.Errorf("failed to create llm client: %w", err)
}
return &Client{config: cfg, model: model}, nil
}
func (c *Client) Generate(ctx context.Context, messages []llms.MessageContent, opts ...llms.CallOption) (*llms.ContentResponse, error) {
resp, err := c.model.GenerateContent(ctx, messages, opts...)
if err != nil {
log.Printf("[ERROR] GenerateContent failed: %v", err)
return nil, fmt.Errorf("generate content error: %w", err)
}
if resp == nil || len(resp.Choices) == 0 {
log.Printf("[WARN] Response is empty or has no choices")
return nil, fmt.Errorf("no content choices returned")
}
return resp, nil
}
func (c *Client) Chat(ctx context.Context, messages []llms.MessageContent) (string, error) {
resp, err := c.Generate(ctx, messages)
if err != nil {
return "", err
}
log.Printf("[INFO] Chat completed successfully, choice length: %d", len(resp.Choices[0].Content))
return resp.Choices[0].Content, nil
}
func (c *Client) ChatWithSystemPrompt(ctx context.Context, systemPrompt string, messages []llms.MessageContent) (string, error) {
allMessages := NewMessageBuilder().
WithSystemPrompt(systemPrompt).
WithMessages(messages).
Build()
resp, err := c.Generate(ctx, allMessages)
if err != nil {
return "", err
}
log.Printf("[INFO] Chat with system prompt completed successfully, choice length: %d", len(resp.Choices[0].Content))
return resp.Choices[0].Content, nil
}