feat: add azure embedding to ai-cache (#1975)

This commit is contained in:
Yiiong
2025-03-29 18:08:37 +08:00
committed by GitHub
parent 2014234356
commit b86e9fc938
10 changed files with 230 additions and 54 deletions

View File

@@ -6,6 +6,7 @@ import (
"fmt"
"net/http"
"github.com/alibaba/higress/plugins/wasm-go/pkg/log"
"github.com/alibaba/higress/plugins/wasm-go/pkg/wrapper"
"github.com/tidwall/gjson"
)
@@ -93,7 +94,7 @@ type OpenAIProvider struct {
client wrapper.HttpClient
}
func (t *OpenAIProvider) constructParameters(text string, log wrapper.Log) (string, [][2]string, []byte, error) {
func (t *OpenAIProvider) constructParameters(text string) (string, [][2]string, []byte, error) {
if text == "" {
err := errors.New("queryString text cannot be empty")
return "", nil, nil, err
@@ -130,9 +131,8 @@ func (t *OpenAIProvider) parseTextEmbedding(responseBody []byte) (*OpenAIRespons
func (t *OpenAIProvider) GetEmbedding(
queryString string,
ctx wrapper.HttpContext,
log wrapper.Log,
callback func(emb []float64, err error)) error {
embUrl, embHeaders, embRequestBody, err := t.constructParameters(queryString, log)
embUrl, embHeaders, embRequestBody, err := t.constructParameters(queryString)
if err != nil {
log.Errorf("failed to construct parameters: %v", err)
return err