4523bbd42c
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Stable Release / stable (push) Successful in 1m34s
Major additions: - RAG pipeline (indexing, chunking, search) with sidebar upload button - Memory system with CRUD API - Plugins and lessons modules - MCP discovery and MCP server - Advanced skills (auto-create, conditional, improver) - Agent browser/image support, delegate, sessions - File editor with CodeMirror in split panes - Markdown rendering via react-markdown + KaTeX + highlight.js - Raw markdown toggle - PWA manifest + service worker - Extension UI redesign with new design tokens and studio-style chat - Pipeline API for chat streaming - Mobile responsive layout 💘 Generated with Crush Assisted-by: GLM-5.1 via Crush <crush@charm.land>
114 lines
2.4 KiB
Go
114 lines
2.4 KiB
Go
package rag
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import (
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"bytes"
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"encoding/json"
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"fmt"
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"io"
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"net/http"
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"strings"
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"time"
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)
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type EmbeddingClient struct {
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apiKey string
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baseURL string
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client *http.Client
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}
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func NewEmbeddingClient(apiKey, baseURL string) *EmbeddingClient {
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if baseURL == "" {
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baseURL = "https://api.openai.com/v1"
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}
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return &EmbeddingClient{
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apiKey: apiKey,
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baseURL: strings.TrimRight(baseURL, "/"),
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client: &http.Client{Timeout: 30 * time.Second},
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}
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}
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type embeddingRequest struct {
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Model string `json:"model"`
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Input []string `json:"input"`
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}
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type embeddingResponse struct {
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Data []struct {
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Embedding []float64 `json:"embedding"`
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Index int `json:"index"`
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} `json:"data"`
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Usage struct {
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TotalTokens int `json:"total_tokens"`
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} `json:"usage"`
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}
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func (c *EmbeddingClient) Embed(texts []string, model string) ([][]float64, error) {
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if len(texts) == 0 {
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return nil, nil
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}
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if model == "" {
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model = "text-embedding-3-small"
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}
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body := embeddingRequest{
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Model: model,
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Input: texts,
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}
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bodyBytes, err := json.Marshal(body)
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if err != nil {
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return nil, fmt.Errorf("marshal embedding request: %w", err)
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}
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url := c.baseURL + "/embeddings"
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req, err := http.NewRequest("POST", url, bytes.NewReader(bodyBytes))
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if err != nil {
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return nil, fmt.Errorf("create embedding request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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if c.apiKey != "" {
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req.Header.Set("Authorization", "Bearer "+c.apiKey)
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}
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resp, err := c.client.Do(req)
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if err != nil {
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return nil, fmt.Errorf("send embedding request: %w", err)
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}
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defer resp.Body.Close()
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respBody, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("read embedding response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("embedding API error (%d): %s", resp.StatusCode, string(respBody))
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}
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var embResp embeddingResponse
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if err := json.Unmarshal(respBody, &embResp); err != nil {
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return nil, fmt.Errorf("parse embedding response: %w", err)
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}
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result := make([][]float64, len(texts))
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for _, data := range embResp.Data {
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if data.Index < len(result) {
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result[data.Index] = data.Embedding
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}
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}
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return result, nil
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}
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func (c *EmbeddingClient) EmbedSingle(text, model string) ([]float64, error) {
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results, err := c.Embed([]string{text}, model)
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if err != nil {
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return nil, err
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}
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if len(results) == 0 {
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return nil, fmt.Errorf("no embedding returned")
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}
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return results[0], nil
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}
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