Files
Enterprise-Knowledge-Base/internal/models/embedding/aliyun.go
T
wizardchen fd3e2992b1 feat(models): support custom HTTP headers across all remote model calls
Introduce per-model `custom_headers` config (similar to OpenAI Python SDK's
`extra_headers`) so users can inject gateway auth tokens, trace IDs, etc.
into every outbound API request for chat / embedding / rerank / VLLM / ASR
models. Reserved headers like Authorization / Content-Type are always
preserved to avoid breaking auth or signing flows.

Along the way, unify production and "test connection" paths onto a single
`ConfigFromModel(*types.Model, appID, appSecret)` constructor in each
model package. Both `service.modelService.GetXxxModel` and the four
`handler.initialization.Check*Model` / `TestEmbeddingModel` endpoints now
go through the same field mapping, so new parameters only need to be
added in one place.

Backend:
- Add `CustomHeaders map[string]string` to `types.ModelParameters` with
  JSON/YAML `omitempty` tags for forward compatibility.
- New `internal/utils/extraheaders.go` providing `ApplyCustomHeaders`
  (for hand-rolled HTTP paths) and `WrapHTTPClientWithHeaders` /
  `CustomHeadersRoundTripper` (for SDK paths like go-openai). Reserved
  headers (Authorization, api-key, Content-Type, Accept, Host,
  Content-Length, User-Agent) are filtered out.
- Inject headers in every remote model path: chat (SDK + raw HTTP),
  embedding (openai/aliyun/jina/volcengine/nvidia/azure_openai), rerank
  (remote_api/aliyun/jina/nvidia/zhipu — via shared `customHeaderSetter`
  interface), VLM and ASR (via http.Client wrapping).
- Add `ConfigFromModel` to each of chat/embedding/rerank/vlm/asr,
  consolidating field mapping (ExtraConfig, CustomHeaders, InterfaceType
  defaulting, WeKnoraCloud credentials, etc.) and cover it with
  dedicated unit tests per package.
- Refactor `service/model.go`: replace ~100 lines of hand-written Config
  literals with one-line `ConfigFromModel` calls; drop the now-unused
  `stringMapToAnyMap` helper.
- Refactor `handler/initialization.go` test-connection endpoints: merge
  four ad-hoc request structs into one `ModelTestRequest`, extract
  `buildTestModel` and `resolveTenantWeKnoraCloudCreds` helpers, and
  route all four endpoints through `ConfigFromModel` + `NewXxx` so the
  test path is now behaviorally identical to production.

Frontend:
- Add `custom_headers` to the `ModelConfig` API type.
- `ModelEditorDialog.vue`: new Key-Value header editor (add/remove rows),
  auto-converts map <-> array when loading/saving, and passes the
  current header set to the `Test Connection` button so the preview
  reflects exactly what production will send.
- `ModelSettings.vue`: serialize the header array back into a map for
  the backend (drops empty rows).
- i18n: add custom-header labels / descriptions / placeholders to
  zh-CN, en-US, ru-RU, ko-KR.

Tests:
- `internal/utils/extraheaders_test.go` covers reserved-header filtering
  and round-tripper wrapping (including nil-client fallback).
- New `config_from_model_test.go` in chat / embedding / rerank / vlm /
  asr verifies all fields (CustomHeaders, ExtraConfig, InterfaceType
  defaulting, AppID/AppSecret) are propagated end-to-end.
2026-04-23 23:36:40 +08:00

256 lines
7.2 KiB
Go

package embedding
import (
"bytes"
"context"
"encoding/json"
"fmt"
"io"
"net/http"
"strings"
"time"
"github.com/Tencent/WeKnora/internal/logger"
secutils "github.com/Tencent/WeKnora/internal/utils"
)
const (
// AliyunMultimodalEmbeddingEndpoint 阿里云 DashScope 多模态 Embedding API 端点
AliyunMultimodalEmbeddingEndpoint = "/api/v1/services/embeddings/multimodal-embedding/multimodal-embedding"
)
// AliyunEmbedder implements text vectorization using Aliyun DashScope multimodal embedding API
type AliyunEmbedder struct {
apiKey string
baseURL string
modelName string
truncatePromptTokens int
dimensions int
modelID string
httpClient *http.Client
timeout time.Duration
maxRetries int
customHeaders map[string]string
EmbedderPooler
}
// SetCustomHeaders 设置用户自定义 HTTP 请求头(类似 OpenAI Python SDK 的 extra_headers)。
func (e *AliyunEmbedder) SetCustomHeaders(headers map[string]string) {
e.customHeaders = headers
}
// AliyunEmbedRequest represents an Aliyun DashScope multimodal embedding request
type AliyunEmbedRequest struct {
Model string `json:"model"`
Input AliyunEmbedInput `json:"input"`
}
// AliyunEmbedInput represents the input structure for Aliyun embedding
type AliyunEmbedInput struct {
Contents []AliyunContent `json:"contents"`
}
// AliyunContent represents a single content item in the input
type AliyunContent struct {
Text string `json:"text,omitempty"`
}
// AliyunEmbedResponse represents an Aliyun DashScope embedding response
type AliyunEmbedResponse struct {
Output struct {
Embeddings []struct {
Embedding []float32 `json:"embedding"`
TextIndex int `json:"text_index"`
} `json:"embeddings"`
} `json:"output"`
Usage struct {
TotalTokens int `json:"total_tokens"`
} `json:"usage"`
RequestID string `json:"request_id"`
}
// AliyunErrorResponse represents an error response from Aliyun DashScope
type AliyunErrorResponse struct {
Code string `json:"code"`
Message string `json:"message"`
RequestID string `json:"request_id"`
}
// NewAliyunEmbedder creates a new Aliyun DashScope embedder
func NewAliyunEmbedder(apiKey, baseURL, modelName string,
truncatePromptTokens int, dimensions int, modelID string, pooler EmbedderPooler,
) (*AliyunEmbedder, error) {
if baseURL == "" {
baseURL = "https://dashscope.aliyuncs.com"
}
// Remove trailing slash and any existing path suffix
baseURL = strings.TrimRight(baseURL, "/")
// If baseURL contains /compatible-mode/v1, strip it for multimodal API
if strings.Contains(baseURL, "/compatible-mode/v1") {
baseURL = strings.Replace(baseURL, "/compatible-mode/v1", "", 1)
}
if modelName == "" {
return nil, fmt.Errorf("model name is required")
}
if truncatePromptTokens == 0 {
truncatePromptTokens = 511
}
timeout := 60 * time.Second
client := &http.Client{
Timeout: timeout,
}
return &AliyunEmbedder{
apiKey: apiKey,
baseURL: baseURL,
modelName: modelName,
httpClient: client,
truncatePromptTokens: truncatePromptTokens,
EmbedderPooler: pooler,
dimensions: dimensions,
modelID: modelID,
timeout: timeout,
maxRetries: 3,
}, nil
}
// Embed converts text to vector
func (e *AliyunEmbedder) Embed(ctx context.Context, text string) ([]float32, error) {
for range 3 {
embeddings, err := e.BatchEmbed(ctx, []string{text})
if err != nil {
return nil, err
}
if len(embeddings) > 0 {
return embeddings[0], nil
}
}
return nil, fmt.Errorf("no embedding returned")
}
func (e *AliyunEmbedder) doRequestWithRetry(ctx context.Context, jsonData []byte) (*http.Response, error) {
var resp *http.Response
var err error
url := e.baseURL + AliyunMultimodalEmbeddingEndpoint
for i := 0; i <= e.maxRetries; i++ {
if i > 0 {
backoffTime := time.Duration(1<<uint(i-1)) * time.Second
if backoffTime > 10*time.Second {
backoffTime = 10 * time.Second
}
logger.GetLogger(ctx).
Infof("AliyunEmbedder retrying request (%d/%d), waiting %v", i, e.maxRetries, backoffTime)
select {
case <-time.After(backoffTime):
case <-ctx.Done():
return nil, ctx.Err()
}
}
req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewReader(jsonData))
if err != nil {
logger.GetLogger(ctx).Errorf("AliyunEmbedder failed to create request: %v", err)
continue
}
req.Header.Set("Content-Type", "application/json")
req.Header.Set("Authorization", "Bearer "+e.apiKey)
secutils.ApplyCustomHeaders(req, e.customHeaders)
resp, err = e.httpClient.Do(req)
if err == nil {
return resp, nil
}
logger.GetLogger(ctx).Errorf("AliyunEmbedder request failed (attempt %d/%d): %v", i+1, e.maxRetries+1, err)
}
return nil, err
}
func (e *AliyunEmbedder) BatchEmbed(ctx context.Context, texts []string) ([][]float32, error) {
// Build contents array from texts
contents := make([]AliyunContent, 0, len(texts))
for _, text := range texts {
contents = append(contents, AliyunContent{Text: text})
}
// Create request body
reqBody := AliyunEmbedRequest{
Model: e.modelName,
Input: AliyunEmbedInput{
Contents: contents,
},
}
jsonData, err := json.Marshal(reqBody)
if err != nil {
logger.GetLogger(ctx).Errorf("AliyunEmbedder BatchEmbed marshal request error: %v", err)
return nil, fmt.Errorf("marshal request: %w", err)
}
resp, err := e.doRequestWithRetry(ctx, jsonData)
if err != nil {
logger.GetLogger(ctx).Errorf("AliyunEmbedder BatchEmbed send request error: %v", err)
return nil, fmt.Errorf("send request: %w", err)
}
if resp.Body != nil {
defer resp.Body.Close()
}
body, err := io.ReadAll(resp.Body)
if err != nil {
logger.GetLogger(ctx).Errorf("AliyunEmbedder BatchEmbed read response error: %v", err)
return nil, fmt.Errorf("read response: %w", err)
}
if resp.StatusCode != http.StatusOK {
// Try to parse error response
var errResp AliyunErrorResponse
if json.Unmarshal(body, &errResp) == nil && errResp.Message != "" {
logger.GetLogger(ctx).Errorf("AliyunEmbedder BatchEmbed API error: %s - %s", errResp.Code, errResp.Message)
return nil, fmt.Errorf("API error: %s - %s", errResp.Code, errResp.Message)
}
logger.GetLogger(ctx).Errorf("AliyunEmbedder BatchEmbed API error: Http Status %s", resp.Status)
return nil, fmt.Errorf("BatchEmbed API error: Http Status %s", resp.Status)
}
// Parse response
var response AliyunEmbedResponse
if err := json.Unmarshal(body, &response); err != nil {
logger.GetLogger(ctx).Errorf("AliyunEmbedder BatchEmbed unmarshal response error: %v", err)
return nil, fmt.Errorf("unmarshal response: %w", err)
}
// Extract embedding vectors, preserving order by text_index
embeddings := make([][]float32, len(texts))
for _, emb := range response.Output.Embeddings {
if emb.TextIndex >= 0 && emb.TextIndex < len(embeddings) {
embeddings[emb.TextIndex] = emb.Embedding
}
}
return embeddings, nil
}
// GetModelName returns the model name
func (e *AliyunEmbedder) GetModelName() string {
return e.modelName
}
// GetDimensions returns the vector dimensions
func (e *AliyunEmbedder) GetDimensions() int {
return e.dimensions
}
// GetModelID returns the model ID
func (e *AliyunEmbedder) GetModelID() string {
return e.modelID
}