Files
t 18c9354095 refactor: 将客服后端重构为宿主可嵌入模块
- 注入数据库、运行时配置、统一响应、文件存储和平台 AI 能力,补充业务读写工具与客户快捷操作契约。

- 移除模块内重复的组织、客户、工单、标签、技能、旧工作流、MCP 和迁移实现,将身份权限与业务主体交由宿主管理。

- 使用 libSQL 重构向量存储,并完善图片消息、访客身份、排队调度、企业微信和支持聊天页面。

- 统一 HTTP、DTO 与 WebSocket 的 snake_case 协议,补齐模块初始化、业务动作和公共载荷等回归测试。
2026-08-28 22:23:13 +08:00

100 lines
2.5 KiB
Go

package ai
import (
"context"
"fmt"
openai "github.com/openai/openai-go/v3"
"code.tczkiot.com/wlw/ai-agent/internal/models"
"code.tczkiot.com/wlw/ai-agent/internal/pkg/enums"
"code.tczkiot.com/wlw/ai-agent/internal/pkg/errorsx"
)
type EmbeddingResult struct {
Vector []float32
TokensUsed int
ModelName string
Dimension int
}
type embedding struct{}
var Embedding = &embedding{}
func (s *embedding) GetModel(ctx context.Context) (*models.AIConfig, error) {
return resolveDefaultAIConfig(ctx, enums.AIModelTypeEmbedding)
}
func (s *embedding) GenerateEmbedding(ctx context.Context, text string) (*EmbeddingResult, error) {
if text == "" {
return nil, errorsx.InvalidParamI18n("error.e0215")
}
ctx = ensurePlatformAIRequestScope(ctx)
result, err := s.callEmbeddingAPI(ctx, text)
if err != nil {
return nil, err
}
return result, nil
}
func (s *embedding) GenerateBatchEmbeddings(ctx context.Context, texts []string) ([]EmbeddingResult, error) {
if len(texts) == 0 {
return nil, errorsx.InvalidParamI18n("error.e0216")
}
ctx = ensurePlatformAIRequestScope(ctx)
results := make([]EmbeddingResult, 0, len(texts))
for _, text := range texts {
result, err := s.callEmbeddingAPI(ctx, text)
if err != nil {
return nil, fmt.Errorf("failed to generate embedding for text: %w", err)
}
results = append(results, *result)
}
return results, nil
}
func (s *embedding) callEmbeddingAPI(ctx context.Context, text string) (*EmbeddingResult, error) {
config, err := s.GetModel(ctx)
if err != nil {
return nil, err
}
client := newOpenAIClient(*config)
embeddingResp, err := client.Embeddings.New(ctx, openai.EmbeddingNewParams{
Input: openai.EmbeddingNewParamsInputUnion{
OfString: openai.String(text),
},
Model: openai.EmbeddingModel(config.ModelName),
}, platformRequestOptions(ctx, *config, "embedding")...)
if err != nil {
return nil, fmt.Errorf("failed to call embedding api: %w", err)
}
if len(embeddingResp.Data) == 0 {
return nil, fmt.Errorf("no embedding data in response")
}
vector := make([]float32, 0, len(embeddingResp.Data[0].Embedding))
for _, item := range embeddingResp.Data[0].Embedding {
vector = append(vector, float32(item))
}
return &EmbeddingResult{
Vector: vector,
TokensUsed: int(embeddingResp.Usage.TotalTokens),
ModelName: embeddingResp.Model,
Dimension: len(vector),
}, nil
}
func (s *embedding) GetDimension(ctx context.Context) (int, error) {
model, err := s.GetModel(ctx)
if err != nil {
return 0, err
}
return model.Dimension, nil
}