mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-06-08 08:07:21 +08:00
### What problem does this PR solve?
This PR implement implement OCR for Baidu and Mistral, implement
PaddleOCR provider and implement ASR for CoHere
**Verified examples from the CLI:**
```
RAGFlow(user)> ocr with 'mistral-ocr-2512@test@mistral' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
RAGFlow(user)> ocr with 'paddleocr-vl-0.9b@test@baidu' file './internal/text.jpg'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| Parallel to these organizational innovations there were significant complementary technical innovations (e.g., improved methods of manufacturing cast-iron pipe and of coating interiors for pressure maintenance, and newer paving and construction material... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
# PaddleOCR
RAGFlow(user)> ocr with 'PaddleOCR-VL-1.5@test@paddleocr' file './internal/test.pdf'
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| text |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
| # Repurposing Diffusion-Based Image Generators for Monocular Depth Estimation
Bingxin Ke
Nando Metzger
Photogra
Anton Obukhov
Rodrigo Caye Daudt
netry and Remote Sensing,
Shengyu Huang
Konrad Schindler
ETH Zürich
<div style="text-align: c... |
+------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------+
# Cohere
RAGFlow(user)> asr with 'cohere-transcribe-03-2026@test@cohere' audio './internal/test.wav' param '{"language": "en"}'
+-----------------------------------------------------------------------------------------------------------------------+
| text |
+-----------------------------------------------------------------------------------------------------------------------+
| The examination and testimony of the experts enabled the Commission to conclude that five shots may have been fired. |
+-----------------------------------------------------------------------------------------------------------------------+
```
### Type of change
- [x] New Feature (non-breaking change which adds functionality)
- [x] Refactoring
632 lines
19 KiB
Go
632 lines
19 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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type openaiEmbeddingResponse struct {
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Data []openrouterEmbeddingData `json:"data"`
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Model string `json:"model"`
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Object string `json:"object"`
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Usage openrouterUsage `json:"usage"`
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}
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type openaiEmbeddingData struct {
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Embedding []float64 `json:"embedding"`
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Object string `json:"object"`
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Index int `json:"index"`
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}
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type openaiUsage struct {
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PromptTokens int `json:"prompt_tokens"`
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TotalTokens int `json:"total_tokens"`
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}
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// Embed 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) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
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if len(texts) == 0 {
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return []EmbeddingData{}, 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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|
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ctx, cancel := context.WithTimeout(context.Background(), nonStreamCallTimeout)
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defer cancel()
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|
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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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|
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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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|
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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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|
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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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|
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var parsed openaiEmbeddingResponse
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if err = json.Unmarshal(body, &parsed); err != nil {
|
|
return nil, fmt.Errorf("failed to parse response: %w", err)
|
|
}
|
|
|
|
var embeddings []EmbeddingData
|
|
for _, dataElem := range parsed.Data {
|
|
var embeddingData EmbeddingData
|
|
embeddingData.Embedding = dataElem.Embedding
|
|
embeddingData.Index = dataElem.Index
|
|
embeddings = append(embeddings, embeddingData)
|
|
}
|
|
|
|
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())
|
|
}
|
|
|
|
// TranscribeAudio transcribe audio
|
|
func (o *OpenAIModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
|
}
|
|
|
|
func (z *OpenAIModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
// AudioSpeech convert text to audio
|
|
func (o *OpenAIModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", o.Name())
|
|
}
|
|
|
|
func (z *OpenAIModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
|
|
return fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
// OCRFile OCR file
|
|
func (m *OpenAIModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", m.Name())
|
|
}
|
|
|
|
// ParseFile parse file
|
|
func (z *OpenAIModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
func (z *OpenAIModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
|
|
return nil, fmt.Errorf("%s, no such method", z.Name())
|
|
}
|
|
|
|
func (z *OpenAIModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", z.Name())
|
|
}
|