mirror of
https://github.com/infiniflow/ragflow.git
synced 2026-07-03 09:11:59 +08:00
524 lines
15 KiB
Go
524 lines
15 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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"fmt"
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"io"
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"net/http"
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"ragflow/internal/common"
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"strings"
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"time"
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"github.com/goccy/go-json"
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)
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type QiniuModel struct {
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baseModel BaseModel
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}
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func NewQiniuModel(baseURL map[string]string, urlSuffix URLSuffix) *QiniuModel {
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return &QiniuModel{
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baseModel: BaseModel{
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BaseURL: baseURL,
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URLSuffix: urlSuffix,
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httpClient: &http.Client{
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Transport: &http.Transport{
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MaxConnsPerHost: 10,
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MaxIdleConnsPerHost: 100,
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IdleConnTimeout: 90 * time.Second,
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DisableCompression: false,
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},
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},
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},
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}
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}
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func (q *QiniuModel) NewInstance(baseURL map[string]string) ModelDriver {
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return NewQiniuModel(baseURL, q.baseModel.URLSuffix)
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}
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func (q *QiniuModel) Name() string {
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return "qiniu"
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}
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var qiniuQwenThinkingModels = map[string]struct{}{
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"qwen3-next-80b-a3b-thinking": {},
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"qwen3-235b-a22b-thinking-2507": {},
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"qwen3-max-2026-01-23": {},
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"qwen-turbo": {},
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"qwen3-32b": {},
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"qwen3-30b-a3b": {},
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"qwen3-30b-a3b-thinking-2507": {},
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"qwen3.5-397b-a17b": {},
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"qwen/qwen3.6-plus": {},
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"qwen/qwen3.7-max": {},
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"qwen/qwen3.6-27b": {},
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"qwen3.5-35b-a3b": {},
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"qwen3-vl-30b-a3b-thinking": {},
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}
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var qiniuThinkingModels = map[string]struct{}{
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"deepseek/deepseek-v4-flash": {},
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"deepseek/deepseek-v4-pro": {},
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"moonshotai/kimi-k2.6": {},
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"z-ai/glm-5.1": {},
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"z-ai/glm-5": {},
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"minimax/minimax-m2.7": {},
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"minimax/minimax-m2.5": {},
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"minimax/minimax-m2.5-highspeed": {},
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"kimi-k2-thinking": {},
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"z-ai/glm-4.6": {},
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"deepseek/deepseek-v3.2-251201": {},
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"deepseek/deepseek-v3.2-exp-thinking": {},
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"deepseek/deepseek-v3.1-terminus-thinking": {},
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"deepseek-r1-0528": {},
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"deepseek-r1": {},
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"doubao-seed-1.6-flash": {},
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"doubao-seed-1.6": {},
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"doubao-seed-2.0-pro": {},
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"doubao-seed-2.0-lite": {},
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"doubao-seed-2.0-mini": {},
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"doubao-seed-2.0-code": {},
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"minimax-m1": {},
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"glm-4.5": {},
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"glm-4.5-air": {},
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"tencent/hy3-preview": {},
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}
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func applyQiniuThinkingConfig(reqBody map[string]interface{}, modelName string, chatModelConfig *ChatConfig) {
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if chatModelConfig == nil || chatModelConfig.Thinking == nil {
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return
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}
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lowerModelName := strings.ToLower(modelName)
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if _, ok := qiniuQwenThinkingModels[lowerModelName]; ok {
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enableThinking := *chatModelConfig.Thinking
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if chatModelConfig.Effort != nil && strings.ToLower(*chatModelConfig.Effort) == "none" {
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enableThinking = false
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}
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reqBody["enable_thinking"] = enableThinking
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return
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}
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if _, ok := qiniuThinkingModels[lowerModelName]; !ok {
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return
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}
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thinkingType := "disabled"
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if *chatModelConfig.Thinking {
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thinkingType = "enabled"
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effort := "high"
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if chatModelConfig.Effort != nil && *chatModelConfig.Effort != "" {
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effort = strings.ToLower(*chatModelConfig.Effort)
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}
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switch effort {
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case "none":
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thinkingType = "disabled"
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case "default":
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reqBody["reasoning_effort"] = "high"
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case "low", "medium", "high":
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reqBody["reasoning_effort"] = effort
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case "max":
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reqBody["reasoning_effort"] = "high"
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default:
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reqBody["reasoning_effort"] = effort
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}
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}
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reqBody["thinking"] = map[string]interface{}{
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"type": thinkingType,
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}
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}
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func (q *QiniuModel) ChatWithMessages(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig) (*ChatResponse, error) {
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if err := q.baseModel.APIConfigCheck(apiConfig); err != nil {
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return nil, err
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}
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if len(messages) == 0 {
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return nil, fmt.Errorf("no messages")
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}
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resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig)
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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", resolvedBaseURL, q.baseModel.URLSuffix.Chat)
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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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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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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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applyQiniuThinkingConfig(reqBody, modelName, chatModelConfig)
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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 := q.baseModel.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 body: %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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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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var reasonContent string
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if chatModelConfig != nil && chatModelConfig.Thinking != nil && *chatModelConfig.Thinking {
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reasonContent, ok = messageMap["reasoning_content"].(string)
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if !ok {
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return nil, fmt.Errorf("invalid reasoning content format")
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}
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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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func (q *QiniuModel) ChatStreamlyWithSender(modelName string, messages []Message, apiConfig *APIConfig, chatModelConfig *ChatConfig, sender func(*string, *string) error) error {
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if err := q.baseModel.APIConfigCheck(apiConfig); err != nil {
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return err
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}
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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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resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return err
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}
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baseURL := strings.TrimSuffix(resolvedBaseURL, "/")
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url := fmt.Sprintf("%s/%s", baseURL, q.baseModel.URLSuffix.Chat)
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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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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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"temperature": 1,
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}
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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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applyQiniuThinkingConfig(reqBody, modelName, chatModelConfig)
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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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ctx, cancel := context.WithTimeout(context.Background(), streamCallTimeout)
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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 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 := q.baseModel.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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scanner := bufio.NewScanner(resp.Body)
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scanner.Buffer(make([]byte, 0, 64*1024), 1024*1024)
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for scanner.Scan() {
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line := scanner.Text()
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common.Info(line)
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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 stream
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if data == "[DONE]" {
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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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break
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}
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}
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// Send [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 scanner.Err()
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}
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func (q *QiniuModel) Embed(modelName *string, texts []string, apiConfig *APIConfig, embeddingConfig *EmbeddingConfig) ([]EmbeddingData, error) {
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return nil, fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) Rerank(modelName *string, query string, documents []string, apiConfig *APIConfig, rerankConfig *RerankConfig) (*RerankResponse, error) {
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return nil, fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) TranscribeAudio(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig) (*ASRResponse, error) {
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return nil, fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) TranscribeAudioWithSender(modelName *string, file *string, apiConfig *APIConfig, asrConfig *ASRConfig, sender func(*string, *string) error) error {
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return fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) AudioSpeech(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig) (*TTSResponse, error) {
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return nil, fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) AudioSpeechWithSender(modelName *string, audioContent *string, apiConfig *APIConfig, ttsConfig *TTSConfig, sender func(*string, *string) error) error {
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return fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) OCRFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, ocrConfig *OCRConfig) (*OCRFileResponse, error) {
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return nil, fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) ParseFile(modelName *string, content []byte, url *string, apiConfig *APIConfig, parseFileConfig *ParseFileConfig) (*ParseFileResponse, error) {
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return nil, fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) ListModels(apiConfig *APIConfig) ([]string, error) {
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if err := q.baseModel.APIConfigCheck(apiConfig); err != nil {
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return nil, err
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}
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resolvedBaseURL, err := q.baseModel.GetBaseURL(apiConfig)
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if err != nil {
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return nil, err
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}
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baseURL := strings.TrimSuffix(resolvedBaseURL, "/")
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url := fmt.Sprintf("%s/%s", baseURL, q.baseModel.URLSuffix.Models)
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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, "GET", url, nil)
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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("Authorization", fmt.Sprintf("Bearer %s", *apiConfig.ApiKey))
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resp, err := q.baseModel.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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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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data, ok := result["data"].([]interface{})
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if !ok {
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return nil, fmt.Errorf("invalid models list format")
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}
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models := make([]string, 0, len(data))
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for _, model := range data {
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modelMap, ok := model.(map[string]interface{})
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if !ok {
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continue
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}
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modelID, ok := modelMap["id"].(string)
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if !ok || modelID == "" {
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continue
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}
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models = append(models, modelID)
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}
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return models, nil
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}
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func (q *QiniuModel) Balance(apiConfig *APIConfig) (map[string]interface{}, error) {
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return nil, fmt.Errorf("%s, no such method", q.Name())
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}
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func (q *QiniuModel) CheckConnection(apiConfig *APIConfig) error {
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return fmt.Errorf("%s, no such method", q.Name())
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|
}
|
|
|
|
func (q *QiniuModel) ListTasks(apiConfig *APIConfig) ([]ListTaskStatus, error) {
|
|
return nil, fmt.Errorf("%s, no such method", q.Name())
|
|
}
|
|
|
|
func (q *QiniuModel) ShowTask(taskID string, apiConfig *APIConfig) (*TaskResponse, error) {
|
|
return nil, fmt.Errorf("%s, no such method", q.Name())
|
|
}
|