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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,45 @@ | ||
| package llm | ||
|
|
||
| import ( | ||
| "context" | ||
| "fmt" | ||
|
|
||
| "github.com/sashabaranov/go-openai" | ||
| ) | ||
|
|
||
| type Client interface { | ||
| CreateEmbeddings(ctx context.Context, input string) ([]float32, error) | ||
| } | ||
|
|
||
| const ( | ||
| embeddingModelName = "text-embedding-3-small" | ||
| embeddingDimensions = 512 | ||
| ) | ||
|
|
||
| type openAI struct { | ||
| client *openai.Client | ||
| } | ||
|
|
||
| func NewOpenAIClient(authToken string) Client { | ||
| client := openai.NewClient(authToken) | ||
| return &openAI{ | ||
| client: client, | ||
| } | ||
| } | ||
|
|
||
| func (o *openAI) CreateEmbeddings(ctx context.Context, input string) ([]float32, error) { | ||
| resp, err := o.client.CreateEmbeddings(ctx, openai.EmbeddingRequest{ | ||
| Model: embeddingModelName, | ||
| Input: input, | ||
| Dimensions: 512, | ||
| EncodingFormat: openai.EmbeddingEncodingFormatFloat, | ||
| }) | ||
| if err != nil { | ||
| return nil, err | ||
| } | ||
|
|
||
| if len(resp.Data) != 1 { | ||
| return nil, fmt.Errorf("expected 1 embedding, got %d", len(resp.Data)) | ||
| } | ||
| return resp.Data[0].Embedding, nil | ||
| } |