mirror of
https://github.com/infiniflow/ragflow.git
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### What problem does this PR solve? The OpenAI Go driver landed in #14605 with chat, list models, and check connection. Encode was left as a stub that returns \`not implemented\`. \`conf/models/openai.json\` already lists three embedding models out of the box: - text-embedding-ada-002 - text-embedding-3-small - text-embedding-3-large So a tenant who picked one of these in the Go layer could not actually run an embedding call. This PR fills the gap. ### What this PR includes - \`conf/models/openai.json\`: add \`\"embedding\": \"embeddings\"\` under \`url_suffix\` so the driver can build the URL from config. This matches the \`URLSuffix.Embedding\` field used by other drivers (siliconflow, zhipu-ai). - \`internal/entity/models/openai.go\`: replace the Encode stub with a real implementation that POSTs to \`/v1/embeddings\`. Adds a small local response type \`openaiEmbeddingResponse\`. No factory change. No interface change. ### How the implementation works - Validate \`apiConfig\` and the API key, validate the model name. Use the existing \`baseURLForRegion\` helper so an unknown region fails fast with a clear error. - Wrap the request with \`context.WithTimeout(nonStreamCallTimeout)\` so the call has a clear deadline. Same pattern as \`ChatWithMessages\` and \`ListModels\` already use in this file. - Send all input texts in one request. The OpenAI API accepts the \`input\` field as an array. - Parse \`data[*].embedding\` and copy each slice into a \`[][]float64\` indexed by \`data[*].index\` so the output order matches the input order even if the API returns items in a different order. - Handle both \`float64\` and \`float32\` element types, the way the SiliconFlow driver does. - An empty input slice returns \`[][]float64{}\` with no HTTP call. - Non-200 responses propagate the upstream status line and body. - A final pass checks that every input slot got a vector. If any slot is still nil, return a clear error so the caller does not silently use a zero vector. ### Type of change - [x] New Feature (non-breaking change which adds functionality) ### How was this tested? - \`go build ./internal/entity/models/...\` in a clean go 1.25 image (the go.mod minimum) returns exit 0. - The full method set on \`OpenAIModel\` still matches the \`ModelDriver\` interface. - Pattern parity with the existing SiliconFlow Encode implementation (\`internal/entity/models/siliconflow.go\`). Closes #14629 --------- Co-authored-by: Jin Hai <haijin.chn@gmail.com>
606 lines
18 KiB
Go
606 lines
18 KiB
Go
//
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// Copyright 2026 The InfiniFlow Authors. All Rights Reserved.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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package models
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import (
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"bufio"
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"bytes"
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"context"
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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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// OpenAIModel implements ModelDriver for OpenAI (GPT models).
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// The non-streaming call timeout is the shared nonStreamCallTimeout
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// constant defined alongside the xAI driver in this package.
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type OpenAIModel struct {
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BaseURL map[string]string
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URLSuffix URLSuffix
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httpClient *http.Client // Reusable HTTP client with connection pool
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}
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// NewOpenAIModel creates a new OpenAI model instance.
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//
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// We clone http.DefaultTransport so we keep Go's defaults for
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// ProxyFromEnvironment, DialContext (with KeepAlive), HTTP/2,
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// TLSHandshakeTimeout, and ExpectContinueTimeout, and only override
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// the few connection-pool fields we care about.
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//
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// The Client itself has no Timeout. http.Client.Timeout would also
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// cap the time spent reading the response body, which would cut off
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// long-lived SSE streams in ChatStreamlyWithSender. Non-streaming
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// callers wrap each request with context.WithTimeout instead.
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func NewOpenAIModel(baseURL map[string]string, urlSuffix URLSuffix) *OpenAIModel {
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transport := http.DefaultTransport.(*http.Transport).Clone()
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transport.MaxIdleConns = 100
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transport.MaxIdleConnsPerHost = 10
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transport.IdleConnTimeout = 90 * time.Second
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transport.DisableCompression = false
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// Cap how long the client waits for the first response header.
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// This protects ChatStreamlyWithSender, which has no client-wide
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// timeout, against a server that opens the TCP connection and
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// then never sends a response.
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transport.ResponseHeaderTimeout = 60 * time.Second
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return &OpenAIModel{
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BaseURL: baseURL,
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URLSuffix: urlSuffix,
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httpClient: &http.Client{
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Transport: transport,
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},
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}
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}
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func (z *OpenAIModel) NewInstance(baseURL map[string]string) ModelDriver {
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return NewOpenAIModel(baseURL, z.URLSuffix)
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}
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func (z *OpenAIModel) Name() string {
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return "openai"
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}
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// baseURLForRegion returns the base URL for the given region, or an
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// error if no entry exists. This makes a misconfigured region fail
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// fast with a clear message, instead of silently producing a relative
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// URL that the HTTP transport then rejects.
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func (z *OpenAIModel) baseURLForRegion(region string) (string, error) {
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base, ok := z.BaseURL[region]
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if !ok || base == "" {
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return "", fmt.Errorf("openai: no base URL configured for region %q", region)
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}
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return base, nil
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}
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// ChatWithMessages sends multiple messages with roles and returns the response
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func (z *OpenAIModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
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if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
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return nil, fmt.Errorf("api key is required")
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}
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if len(messages) == 0 {
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return nil, fmt.Errorf("messages is empty")
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}
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var region = "default"
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if apiConfig.Region != nil {
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region = *apiConfig.Region
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}
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baseURL, err := z.baseURLForRegion(region)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", baseURL, z.URLSuffix.Chat)
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// Convert messages to the format expected by the API
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apiMessages := make([]map[string]interface{}, len(messages))
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for i, msg := range messages {
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apiMessages[i] = map[string]interface{}{
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"role": msg.Role,
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"content": msg.Content,
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}
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}
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// Build request body
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reqBody := map[string]interface{}{
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"model": modelName,
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"messages": apiMessages,
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"stream": false,
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"temperature": 1,
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}
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// Note: do NOT propagate chatModelConfig.Stream into the request body
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// here. ChatWithMessages parses a single JSON response, so SSE/stream
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// must always be off for this code path.
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if chatModelConfig != nil {
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if chatModelConfig.MaxTokens != nil {
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reqBody["max_tokens"] = *chatModelConfig.MaxTokens
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}
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if chatModelConfig.Temperature != nil {
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reqBody["temperature"] = *chatModelConfig.Temperature
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}
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if chatModelConfig.TopP != nil {
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reqBody["top_p"] = *chatModelConfig.TopP
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}
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if chatModelConfig.Stop != nil {
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reqBody["stop"] = *chatModelConfig.Stop
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}
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := z.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
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}
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// Parse response
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var result map[string]interface{}
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if err = json.Unmarshal(body, &result); err != nil {
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return nil, fmt.Errorf("failed to parse response: %w", err)
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}
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choices, ok := result["choices"].([]interface{})
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if !ok || len(choices) == 0 {
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return nil, fmt.Errorf("no choices in response")
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}
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firstChoice, ok := choices[0].(map[string]interface{})
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if !ok {
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return nil, fmt.Errorf("invalid choice format")
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}
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messageMap, ok := firstChoice["message"].(map[string]interface{})
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if !ok {
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return nil, fmt.Errorf("invalid message format")
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}
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content, ok := messageMap["content"].(string)
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if !ok {
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return nil, fmt.Errorf("invalid content format")
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}
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// OpenAI reasoning models (o-series and similar) return reasoning text in
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// the reasoning_content field. Pass it through when present.
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var reasonContent string
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if rc, ok := messageMap["reasoning_content"].(string); ok {
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reasonContent = rc
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if reasonContent != "" && reasonContent[0] == '\n' {
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reasonContent = reasonContent[1:]
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}
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}
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chatResponse := &ChatResponse{
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Answer: &content,
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ReasonContent: &reasonContent,
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}
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return chatResponse, nil
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}
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// ChatStreamlyWithSender sends messages and streams the response via the
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// sender function. Used for streaming chat responses with no extra channel.
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func (z *OpenAIModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, sender func(*string, *string) error) error {
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if len(messages) == 0 {
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return fmt.Errorf("messages is empty")
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}
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if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
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return fmt.Errorf("api key is required")
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}
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var region = "default"
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if apiConfig.Region != nil && *apiConfig.Region != "" {
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region = *apiConfig.Region
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}
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baseURL, err := z.baseURLForRegion(region)
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if err != nil {
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return err
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}
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url := fmt.Sprintf("%s/%s", baseURL, z.URLSuffix.Chat)
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// Convert messages to API format (supports multimodal content)
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apiMessages := make([]map[string]interface{}, len(messages))
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for i, msg := range messages {
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apiMessages[i] = map[string]interface{}{
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"role": msg.Role,
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"content": msg.Content,
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}
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}
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// Build request body with streaming on by default
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reqBody := map[string]interface{}{
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"model": modelName,
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"messages": apiMessages,
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"stream": true,
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}
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if chatModelConfig != nil {
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// Refuse to run if the caller explicitly asked for stream=false.
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// The body of this method only knows how to read SSE, so a non-SSE
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// JSON response would be parsed as if it were a stream and produce
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// no chunks. Better to fail clearly. Leave reqBody["stream"] as
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// the default (true) when Stream is nil or true.
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if chatModelConfig.Stream != nil && !*chatModelConfig.Stream {
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return fmt.Errorf("stream must be true in ChatStreamlyWithSender")
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}
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if chatModelConfig.MaxTokens != nil {
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reqBody["max_tokens"] = *chatModelConfig.MaxTokens
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}
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if chatModelConfig.Temperature != nil {
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reqBody["temperature"] = *chatModelConfig.Temperature
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}
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if chatModelConfig.TopP != nil {
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reqBody["top_p"] = *chatModelConfig.TopP
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}
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if chatModelConfig.Stop != nil {
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reqBody["stop"] = *chatModelConfig.Stop
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}
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return fmt.Errorf("failed to marshal request: %w", err)
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}
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// Use an explicit background context here so the request is at least
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// cancellable in principle. We do not attach a hard deadline because
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// SSE streams are long-lived. The transport's ResponseHeaderTimeout
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// caps the connection-establishment phase. Threading a real ctx
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// through the ModelDriver interface is a wider change for a follow-up.
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req, err := http.NewRequestWithContext(context.Background(), "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := z.httpClient.Do(req)
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if err != nil {
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return fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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if resp.StatusCode != http.StatusOK {
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body, _ := io.ReadAll(resp.Body)
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return fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
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}
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// SSE parsing: read line by line. The default bufio.Scanner buffer
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// is 64KB, which can be too small for long SSE chunks. Bump it to
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// 1MB so we never silently truncate a long data: line.
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scanner := bufio.NewScanner(resp.Body)
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scanner.Buffer(make([]byte, 64*1024), 1024*1024)
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// sawTerminal flips to true when the upstream actually told us the
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// stream is over (either a "[DONE]" marker or a non-empty
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// finish_reason). If the body closes before either of those, we
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// must not emit a synthetic "[DONE]" because that would hide a
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// truncated response from the caller.
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sawTerminal := false
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for scanner.Scan() {
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line := scanner.Text()
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// SSE data line starts with "data:"
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if !strings.HasPrefix(line, "data:") {
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continue
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}
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// Extract JSON after "data:"
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data := strings.TrimSpace(line[5:])
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// [DONE] marks the end of the stream
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if data == "[DONE]" {
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sawTerminal = true
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break
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}
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// Parse the JSON event
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var event map[string]interface{}
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if err = json.Unmarshal([]byte(data), &event); err != nil {
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continue
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}
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choices, ok := event["choices"].([]interface{})
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if !ok || len(choices) == 0 {
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continue
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}
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firstChoice, ok := choices[0].(map[string]interface{})
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if !ok {
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continue
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}
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delta, ok := firstChoice["delta"].(map[string]interface{})
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if !ok {
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continue
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}
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reasoningContent, ok := delta["reasoning_content"].(string)
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if ok && reasoningContent != "" {
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if err := sender(nil, &reasoningContent); err != nil {
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return err
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}
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}
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content, ok := delta["content"].(string)
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if ok && content != "" {
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if err := sender(&content, nil); err != nil {
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return err
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}
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}
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finishReason, ok := firstChoice["finish_reason"].(string)
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if ok && finishReason != "" {
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sawTerminal = true
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break
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}
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}
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if err := scanner.Err(); err != nil {
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return fmt.Errorf("failed to scan response body: %w", err)
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}
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if !sawTerminal {
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return fmt.Errorf("openai: stream ended before [DONE] or finish_reason")
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}
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// Send the [DONE] marker for OpenAI compatibility
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endOfStream := "[DONE]"
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if err := sender(&endOfStream, nil); err != nil {
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return err
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}
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return nil
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}
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// openaiEmbeddingResponse is the response shape returned by
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// /v1/embeddings. The "index" field gives the position of the embedding
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// in the input array, which we use to keep the output order stable
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// even if the API returns items in a different order.
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type openaiEmbeddingResponse struct {
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Data []struct {
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Index int `json:"index"`
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Embedding []interface{} `json:"embedding"`
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} `json:"data"`
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}
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// Encode turns a list of texts into embedding vectors using the
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// OpenAI /v1/embeddings endpoint (e.g. text-embedding-3-small,
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// text-embedding-3-large, text-embedding-ada-002). The output has
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// one vector per input, in the same order the inputs were given.
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func (z *OpenAIModel) Encode(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([][]float64, error) {
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if len(texts) == 0 {
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return [][]float64{}, nil
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}
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if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
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return nil, fmt.Errorf("api key is required")
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}
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if modelName == nil || *modelName == "" {
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return nil, fmt.Errorf("model name is required")
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}
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region := "default"
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if apiConfig.Region != nil && *apiConfig.Region != "" {
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region = *apiConfig.Region
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}
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baseURL, err := z.baseURLForRegion(region)
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if err != nil {
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return nil, err
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}
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url := fmt.Sprintf("%s/%s", baseURL, z.URLSuffix.Embedding)
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reqBody := map[string]interface{}{
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"model": *modelName,
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"input": texts,
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}
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if embeddingConfig != nil && embeddingConfig.Dimension > 0 {
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reqBody["dimensions"] = embeddingConfig.Dimension
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}
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jsonData, err := json.Marshal(reqBody)
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if err != nil {
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return nil, fmt.Errorf("failed to marshal request: %w", err)
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}
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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req, err := http.NewRequestWithContext(ctx, "POST", url, bytes.NewBuffer(jsonData))
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if err != nil {
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return nil, fmt.Errorf("failed to create request: %w", err)
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}
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req.Header.Set("Content-Type", "application/json")
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req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := z.httpClient.Do(req)
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if err != nil {
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return nil, fmt.Errorf("failed to send request: %w", err)
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}
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defer resp.Body.Close()
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body, err := io.ReadAll(resp.Body)
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if err != nil {
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return nil, fmt.Errorf("failed to read response: %w", err)
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}
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if resp.StatusCode != http.StatusOK {
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return nil, fmt.Errorf("OpenAI embeddings API error: %s, body: %s", resp.Status, string(body))
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}
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|
|
|
var parsed openaiEmbeddingResponse
|
|
if err = json.Unmarshal(body, &parsed); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
|
|
embeddings := make([][]float64, len(texts))
|
|
for _, item := range parsed.Data {
|
|
if item.Index < 0 || item.Index >= len(texts) {
|
|
continue
|
|
}
|
|
vec := make([]float64, len(item.Embedding))
|
|
for j, v := range item.Embedding {
|
|
switch val := v.(type) {
|
|
case float64:
|
|
vec[j] = val
|
|
case float32:
|
|
vec[j] = float64(val)
|
|
default:
|
|
return nil, fmt.Errorf("unexpected embedding value type at item %d index %d", item.Index, j)
|
|
}
|
|
}
|
|
embeddings[item.Index] = vec
|
|
}
|
|
|
|
for i, vec := range embeddings {
|
|
if vec == nil {
|
|
return nil, fmt.Errorf("missing embedding for input at index %d", i)
|
|
}
|
|
}
|
|
|
|
return embeddings, nil
|
|
}
|
|
|
|
// ListModels returns the list of model ids visible to the API key.
|
|
func (z *OpenAIModel) ListModels(apiConfig *APIConfig) ([]string, error) {
|
|
if apiConfig == nil || apiConfig.ApiKey == nil || *apiConfig.ApiKey == "" {
|
|
return nil, fmt.Errorf("api key is required")
|
|
}
|
|
|
|
var region = "default"
|
|
if apiConfig.Region != nil {
|
|
region = *apiConfig.Region
|
|
}
|
|
|
|
baseURL, err := z.baseURLForRegion(region)
|
|
if err != nil {
|
|
return nil, err
|
|
}
|
|
url := fmt.Sprintf("%s/%s", baseURL, z.URLSuffix.Models)
|
|
|
|
ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
|
|
defer cancel()
|
|
|
|
req, err := http.NewRequestWithContext(ctx, "GET", url, nil)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to create request: %w", err)
|
|
}
|
|
|
|
// GET has no body, so Content-Type is not needed.
|
|
req.Header.Set("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
|
|
|
|
resp, err := z.httpClient.Do(req)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to send request: %w", err)
|
|
}
|
|
defer resp.Body.Close()
|
|
|
|
body, err := io.ReadAll(resp.Body)
|
|
if err != nil {
|
|
return nil, fmt.Errorf("failed to read response: %w", err)
|
|
}
|
|
|
|
if resp.StatusCode != http.StatusOK {
|
|
return nil, fmt.Errorf("API request failed with status %d: %s", resp.StatusCode, string(body))
|
|
}
|
|
|
|
// Parse response
|
|
var result map[string]interface{}
|
|
if err = json.Unmarshal(body, &result); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
|
|
data, ok := result["data"].([]interface{})
|
|
if !ok {
|
|
return nil, fmt.Errorf("invalid models list format")
|
|
}
|
|
|
|
models := make([]string, 0)
|
|
for _, model := range data {
|
|
modelMap, ok := model.(map[string]interface{})
|
|
if !ok {
|
|
continue
|
|
}
|
|
modelName, ok := modelMap["id"].(string)
|
|
if !ok {
|
|
continue
|
|
}
|
|
models = append(models, modelName)
|
|
}
|
|
|
|
return models, nil
|
|
}
|
|
|
|
// Balance is not exposed by the OpenAI API, so this returns "no such method".
|
|
func (z *OpenAIModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
|
|
return nil, fmt.Errorf("no such method")
|
|
}
|
|
|
|
// CheckConnection runs a lightweight ListModels call to verify the API key.
|
|
func (z *OpenAIModel) CheckConnection(apiConfig *APIConfig) error {
|
|
_, err := z.ListModels(apiConfig)
|
|
if err != nil {
|
|
return err
|
|
}
|
|
return nil
|
|
}
|
|
|
|
// Rerank calculates similarity scores between query and documents. OpenAI does
|
|
// not expose a rerank API, so this is left unimplemented.
|
|
func (z *OpenAIModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
|
|
return nil, fmt.Errorf("%s, Rerank not implemented", z.Name())
|
|
}
|