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Add OpenAI API client Signed-off-by: Milos Gajdos <[email protected]>
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package main | ||
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import ( | ||
"context" | ||
"flag" | ||
"fmt" | ||
"log" | ||
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"github.com/milosgajdos/go-embeddings/openai" | ||
) | ||
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var ( | ||
input string | ||
model string | ||
encoding string | ||
) | ||
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func init() { | ||
flag.StringVar(&input, "input", "", "input data") | ||
flag.StringVar(&model, "model", string(openai.TextAdaV2), "model name") | ||
flag.StringVar(&encoding, "encoding", string(openai.EncodingFloat), "encoding format") | ||
} | ||
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func main() { | ||
flag.Parse() | ||
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c, err := openai.NewClient() | ||
if err != nil { | ||
log.Fatal(err) | ||
} | ||
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embReq := &openai.EmbeddingRequest{ | ||
Input: input, | ||
Model: openai.Model(model), | ||
EncodingFormat: openai.EncodingFormat(encoding), | ||
} | ||
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embs, err := c.Embeddings(context.Background(), embReq) | ||
if err != nil { | ||
log.Fatal(err) | ||
} | ||
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fmt.Printf("got %d embeddings", len(embs)) | ||
} |
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package openai | ||
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import ( | ||
"bytes" | ||
"context" | ||
"encoding/json" | ||
"fmt" | ||
"io" | ||
"net/http" | ||
"os" | ||
) | ||
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const ( | ||
// BaseURL is OpenAI HTTP API base URL. | ||
BaseURL = "https://api.openai.com/v1" | ||
// Org header | ||
OrgHeader = "OpenAI-Organization" | ||
) | ||
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// Client is OpenAI HTTP API client. | ||
type Client struct { | ||
apiKey string | ||
baseURL string | ||
orgID string | ||
hc *http.Client | ||
} | ||
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// NewClient creates a new HTTP client and returns it. | ||
// It reads the OpenAI API key from OPENAI_API_KEY env var | ||
// and uses the default Go http.Client. | ||
// You can override the default options by using the | ||
// client methods. | ||
func NewClient() (*Client, error) { | ||
return &Client{ | ||
apiKey: os.Getenv("OPENAI_API_KEY"), | ||
baseURL: BaseURL, | ||
orgID: "", | ||
hc: &http.Client{}, | ||
}, nil | ||
} | ||
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// WithAPIKey sets the API key. | ||
func (c *Client) WithAPIKey(apiKey string) *Client { | ||
c.apiKey = apiKey | ||
return c | ||
} | ||
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// WithBaseURL sets the API base URL. | ||
func (c *Client) WithBaseURL(baseURL string) *Client { | ||
c.baseURL = baseURL | ||
return c | ||
} | ||
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// WithOrgID sets the organization ID. | ||
func (c *Client) WithOrgID(orgID string) *Client { | ||
c.orgID = orgID | ||
return c | ||
} | ||
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// WithHTTPClient sets the HTTP client. | ||
func (c *Client) WithHTTPClient(httpClient *http.Client) *Client { | ||
c.hc = httpClient | ||
return c | ||
} | ||
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// ReqOption is http requestion functional option. | ||
type ReqOption func(*http.Request) | ||
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// WithSetHeader sets the header key to value val. | ||
func WithSetHeader(key, val string) ReqOption { | ||
return func(req *http.Request) { | ||
if req.Header == nil { | ||
req.Header = make(http.Header) | ||
} | ||
req.Header.Set(key, val) | ||
} | ||
} | ||
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// WithAddHeader adds the val to key header. | ||
func WithAddHeader(key, val string) ReqOption { | ||
return func(req *http.Request) { | ||
if req.Header == nil { | ||
req.Header = make(http.Header) | ||
} | ||
req.Header.Add(key, val) | ||
} | ||
} | ||
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func (c *Client) newRequest(ctx context.Context, method, uri string, body io.Reader, opts ...ReqOption) (*http.Request, error) { | ||
if ctx == nil { | ||
ctx = context.Background() | ||
} | ||
if body == nil { | ||
body = &bytes.Reader{} | ||
} | ||
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req, err := http.NewRequestWithContext(ctx, method, uri, body) | ||
if err != nil { | ||
return nil, err | ||
} | ||
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for _, setOption := range opts { | ||
setOption(req) | ||
} | ||
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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", c.apiKey)) | ||
if len(c.orgID) != 0 { | ||
req.Header.Set("OpenAI-Organization", c.orgID) | ||
} | ||
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req.Header.Set("Accept", "application/json; charset=utf-8") | ||
if body != nil { | ||
// if no content-type is specified we default to json | ||
if ct := req.Header.Get("Content-Type"); len(ct) == 0 { | ||
req.Header.Set("Content-Type", "application/json; charset=utf-8") | ||
} | ||
} | ||
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return req, nil | ||
} | ||
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func (c *Client) doRequest(req *http.Request) (*http.Response, error) { | ||
resp, err := c.hc.Do(req) | ||
if err != nil { | ||
return nil, err | ||
} | ||
if resp.StatusCode >= http.StatusOK && resp.StatusCode < http.StatusBadRequest { | ||
return resp, nil | ||
} | ||
defer resp.Body.Close() | ||
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var apiErr APIError | ||
if err := json.NewDecoder(resp.Body).Decode(&apiErr); err != nil { | ||
return nil, err | ||
} | ||
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return nil, apiErr | ||
} |
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package openai | ||
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import ( | ||
"bytes" | ||
"context" | ||
"encoding/base64" | ||
"encoding/binary" | ||
"encoding/json" | ||
"fmt" | ||
"io" | ||
"math" | ||
"net/http" | ||
"net/url" | ||
) | ||
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// Usage tracks API token usage. | ||
type Usage struct { | ||
PromptTokens int `json:"prompt_tokens"` | ||
TotalTokens int `json:"total_tokens"` | ||
} | ||
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// Embedding is openai API vector embedding. | ||
type Embedding struct { | ||
Object string `json:"object"` | ||
Index int `json:"index"` | ||
Embedding []float64 `json:"embedding"` | ||
} | ||
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// EmbeddingString is base64 encoded embedding. | ||
type EmbeddingString string | ||
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func (s EmbeddingString) Decode() ([]float64, error) { | ||
decoded, err := base64.StdEncoding.DecodeString(string(s)) | ||
if err != nil { | ||
return nil, err | ||
} | ||
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if len(decoded)%8 != 0 { | ||
return nil, fmt.Errorf("invalid base64 encoded string length") | ||
} | ||
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floats := make([]float64, len(decoded)/8) | ||
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for i := 0; i < len(floats); i++ { | ||
bits := binary.LittleEndian.Uint64(decoded[i*8 : (i+1)*8]) | ||
floats[i] = math.Float64frombits(bits) | ||
} | ||
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return floats, nil | ||
} | ||
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// EmbeddingRequest is serialized and sent to the API server. | ||
type EmbeddingRequest struct { | ||
Input any `json:"input"` | ||
Model Model `json:"model"` | ||
User string `json:"user"` | ||
EncodingFormat EncodingFormat `json:"encoding_format,omitempty"` | ||
} | ||
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// Data is used for deserializing response data. | ||
type Data[T any] struct { | ||
Object string `json:"object"` | ||
Index int `json:"index"` | ||
Embedding T `json:"embedding"` | ||
} | ||
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// EmbeddingResponse is the API response from a Create embeddings request. | ||
type EmbeddingResponse[T any] struct { | ||
Object string `json:"object"` | ||
Data []Data[T] `json:"data"` | ||
Model Model `json:"model"` | ||
Usage Usage `json:"usage"` | ||
} | ||
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func ToEmbeddings[T any](resp io.Reader) ([]*Embedding, error) { | ||
data := new(T) | ||
if err := json.NewDecoder(resp).Decode(data); err != nil { | ||
return nil, err | ||
} | ||
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switch e := any(data).(type) { | ||
case *EmbeddingResponse[EmbeddingString]: | ||
embs := make([]*Embedding, 0, len(e.Data)) | ||
for _, d := range e.Data { | ||
floats, err := d.Embedding.Decode() | ||
if err != nil { | ||
return nil, err | ||
} | ||
emb := &Embedding{ | ||
Object: d.Object, | ||
Index: d.Index, | ||
Embedding: floats, | ||
} | ||
embs = append(embs, emb) | ||
} | ||
return embs, nil | ||
case *EmbeddingResponse[[]float64]: | ||
embs := make([]*Embedding, 0, len(e.Data)) | ||
for _, d := range e.Data { | ||
emb := &Embedding{ | ||
Object: d.Object, | ||
Index: d.Index, | ||
Embedding: d.Embedding, | ||
} | ||
embs = append(embs, emb) | ||
} | ||
return embs, nil | ||
} | ||
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return nil, ErrInValidData | ||
} | ||
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// Embeddings returns embeddings for every object in EmbeddingRequest. | ||
func (c *Client) Embeddings(ctx context.Context, embReq *EmbeddingRequest) ([]*Embedding, error) { | ||
u, err := url.Parse(c.baseURL + "/embeddings") | ||
if err != nil { | ||
return nil, err | ||
} | ||
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var body = &bytes.Buffer{} | ||
enc := json.NewEncoder(body) | ||
enc.SetEscapeHTML(false) | ||
if err := enc.Encode(embReq); err != nil { | ||
return nil, err | ||
} | ||
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req, err := c.newRequest(ctx, http.MethodPost, u.String(), body) | ||
if err != nil { | ||
return nil, err | ||
} | ||
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resp, err := c.doRequest(req) | ||
if err != nil { | ||
return nil, err | ||
} | ||
defer resp.Body.Close() | ||
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switch embReq.EncodingFormat { | ||
case EncodingBase64: | ||
return ToEmbeddings[EmbeddingResponse[EmbeddingString]](resp.Body) | ||
case EncodingFloat: | ||
return ToEmbeddings[EmbeddingResponse[[]float64]](resp.Body) | ||
} | ||
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return nil, fmt.Errorf("unknown encoding: %v", embReq.EncodingFormat) | ||
} |
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Original file line number | Diff line number | Diff line change |
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@@ -0,0 +1,27 @@ | ||
package openai | ||
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import ( | ||
"encoding/json" | ||
"errors" | ||
) | ||
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var ( | ||
ErrInValidData = errors.New("invalid data") | ||
) | ||
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type APIError struct { | ||
Err struct { | ||
Message string `json:"message"` | ||
Type string `json:"type"` | ||
Param *string `json:"param,omitempty"` | ||
Code any `json:"code,omitempty"` | ||
} `json:"error"` | ||
} | ||
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func (e APIError) Error() string { | ||
b, err := json.Marshal(e) | ||
if err != nil { | ||
return "unknown error" | ||
} | ||
return string(b) | ||
} |
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package openai | ||
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// Model is embedding model. | ||
type Model string | ||
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const ( | ||
TextAdaV2 Model = "text-embedding-ada-002" | ||
) | ||
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// EncodingFormat for embedding API requests. | ||
type EncodingFormat string | ||
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const ( | ||
EncodingFloat EncodingFormat = "float" | ||
EncodingBase64 EncodingFormat = "base64" | ||
) |