✨ 支持o1-preview和o1-mini模型

Readme.md

@@ -39,7 +39,7 @@
 
 - [x] 支持 gpt-4-s
 
-- [x] 支持 gpt-4o
+- [x] 支持 gpt-4o 和 gpt-4o-mini
 
 - [x] 支持 gpt-3.5-turbo
 

data/config.json

@@ -11,10 +11,14 @@
     "gpt_4_mobile_new_name": "gpt-4-mobile,dall-e-3",
     "gpt_3_5_new_name": "gpt-3.5-turbo",
     "gpt_4_o_new_name": "gpt-4-o,gpt-4o",
+    "gpt_4_o_mini_new_name": "gpt-4o-mini",
+    "o1_preview_new_name": "o1_preview",
+    "o1_mini_new_name": "o1_mini",
     "need_delete_conversation_after_response": "true",
     "use_oaiusercontent_url": "false",
     "custom_arkose_url": "false",
     "arkose_urls": "",
+    "upload_success_text": "`🤖 文件上传成功，搜索将不再提供额外信息！`\n",
     "dalle_prompt_prefix": "请严格根据我的以下要求完成绘图任务，如果我没有发出指定的绘画指令，则绘制出我发出的文字对应的图片：",
     "bot_mode": {
         "enabled": "false",

main.py

@@ -3,19 +3,19 @@ import base64
 import hashlib
 import json
 import logging
+import mimetypes
 import os
+import requests
 import uuid
 from datetime import datetime
-from io import BytesIO
-from logging.handlers import TimedRotatingFileHandler
-from queue import Queue
-from urllib.parse import urlparse
-
-import requests
 from fake_useragent import UserAgent
 from flask import Flask, request, jsonify, Response, send_from_directory
 from flask_apscheduler import APScheduler
 from flask_cors import CORS, cross_origin
+from io import BytesIO
+from logging.handlers import TimedRotatingFileHandler
+from queue import Queue
+from urllib.parse import urlparse
 
 
 # 读取配置文件
@@ -40,7 +40,11 @@ API_PREFIX = CONFIG.get('backend_container_api_prefix', '')
 GPT_4_S_New_Names = CONFIG.get('gpt_4_s_new_name', 'gpt-4-s').split(',')
 GPT_4_MOBILE_NEW_NAMES = CONFIG.get('gpt_4_mobile_new_name', 'gpt-4-mobile').split(',')
 GPT_3_5_NEW_NAMES = CONFIG.get('gpt_3_5_new_name', 'gpt-3.5-turbo').split(',')
-GPT_4_O_NEW_NAMES = CONFIG.get('gpt_4_o_new_name', 'gpt-4-o').split(',')
+GPT_4_O_NEW_NAMES = CONFIG.get('gpt_4_o_new_name', 'gpt-4o').split(',')
+GPT_4_O_MINI_NEW_NAMES = CONFIG.get('gpt_4_o_mini_new_name', 'gpt-4o-mini').split(',')
+O1_PREVIEW_NEW_NAMES = CONFIG.get('o1_preview_new_name', 'o1-preview').split(',')
+O1_MINI_NEW_NAMES = CONFIG.get('o1_mini_new_name', 'o1-mini').split(',')
+UPLOAD_SUCCESS_TEXT = CONFIG.get('upload_success_text', "`🤖 文件上传成功，搜索将不再提供额外信息！`\n")
 
 BOT_MODE = CONFIG.get('bot_mode', {})
 BOT_MODE_ENABLED = BOT_MODE.get('enabled', 'false').lower() == 'true'
@@ -136,7 +140,6 @@ def getPROXY_API_PREFIX(lock):
                 return None
             else:
                 return "/" + (PROXY_API_PREFIX[index % len(PROXY_API_PREFIX)])
-                index += 1
 
 
 def generate_unique_id(prefix):
@@ -324,9 +327,9 @@ scheduler.start()
 # PANDORA_UPLOAD_URL = 'files.pandoranext.com'
 
 
-VERSION = '0.7.9.3'
+VERSION = '0.8.0'
 # VERSION = 'test'
-UPDATE_INFO = '支持最新的gpt-4-o模型,并重定向gpt-4-mobile到gpt-4-s'
+UPDATE_INFO = '✨ 支持o1-preview和o1-mini模型'
 # UPDATE_INFO = '【仅供临时测试使用】 '
 
 with app.app_context():
@@ -442,6 +445,21 @@ with app.app_context():
             "name": name.strip(),
             "ori_name": "gpt-4-o"
         })
+    for name in GPT_4_O_MINI_NEW_NAMES:
+        gpts_configurations.append({
+            "name": name.strip(),
+            "ori_name": "gpt-4o-mini"
+        })
+    for name in O1_PREVIEW_NEW_NAMES:
+        gpts_configurations.append({
+            "name": name.strip(),
+            "ori_name": "o1-preview"
+        })
+    for name in O1_MINI_NEW_NAMES:
+        gpts_configurations.append({
+            "name": name.strip(),
+            "ori_name": "o1-mini"
+        })
     logger.info(f"GPTS 配置信息")
 
     # 加载配置并添加到全局列表
@@ -492,7 +510,6 @@ def get_token():
             logger.error(f"请求异常: {e}")
 
     raise Exception("获取 arkose token 失败")
-    return None
 
 
 import os
@@ -679,7 +696,7 @@ def get_file_extension(mime_type):
         "text/x-script.python": ".py",
         # 其他 MIME 类型和扩展名...
     }
-    return extension_mapping.get(mime_type, "")
+    return extension_mapping.get(mime_type, mimetypes.guess_extension(mime_type))
 
 
 my_files_types = [
@@ -852,13 +869,16 @@ def send_text_prompt_and_get_response(messages, api_key, account_id, stream, mod
                 "action": "next",
                 "messages": formatted_messages,
                 "parent_message_id": str(uuid.uuid4()),
-                "model": "text-davinci-002-render-sha",
+                "model": "gpt-4o-mini",
                 "timezone_offset_min": -480,
                 "suggestions": [
-                    "What are 5 creative things I could do with my kids' art? I don't want to throw them away, but it's also so much clutter.",
-                    "I want to cheer up my friend who's having a rough day. Can you suggest a couple short and sweet text messages to go with a kitten gif?",
+                    "What are 5 creative things I could do with my kids' art? I don't want to throw them away, "
+                    "but it's also so much clutter.",
+                    "I want to cheer up my friend who's having a rough day. Can you suggest a couple short and sweet "
+                    "text messages to go with a kitten gif?",
                     "Come up with 5 concepts for a retro-style arcade game.",
-                    "I have a photoshoot tomorrow. Can you recommend me some colors and outfit options that will look good on camera?"
+                    "I have a photoshoot tomorrow. Can you recommend me some colors and outfit options that will look "
+                    "good on camera?"
                 ],
                 "history_and_training_disabled": False,
                 "arkose_token": None,
@@ -866,6 +886,7 @@ def send_text_prompt_and_get_response(messages, api_key, account_id, stream, mod
                     "kind": "primary_assistant"
                 },
                 "force_paragen": False,
+                "force_paragen_model_slug": "",
                 "force_rate_limit": False
             }
         elif ori_model_name == 'gpt-4-o':
@@ -890,6 +911,89 @@ def send_text_prompt_and_get_response(messages, api_key, account_id, stream, mod
                 "force_paragen": False,
                 "force_rate_limit": False
             }
+        elif ori_model_name == 'gpt-4o-mini':
+            payload = {
+                # 构建 payload
+                "action": "next",
+                "messages": formatted_messages,
+                "parent_message_id": str(uuid.uuid4()),
+                "model": "gpt-4o-mini",
+                "timezone_offset_min": -480,
+                "suggestions": [
+                    "What are 5 creative things I could do with my kids' art? I don't want to throw them away, "
+                    "but it's also so much clutter.",
+                    "I want to cheer up my friend who's having a rough day. Can you suggest a couple short and sweet "
+                    "text messages to go with a kitten gif?",
+                    "Come up with 5 concepts for a retro-style arcade game.",
+                    "I have a photoshoot tomorrow. Can you recommend me some colors and outfit options that will look "
+                    "good on camera?"
+                ],
+                "history_and_training_disabled": False,
+                "arkose_token": None,
+                "conversation_mode": {
+                    "kind": "primary_assistant"
+                },
+                "force_paragen": False,
+                "force_paragen_model_slug": "",
+                "force_rate_limit": False
+            }
+        elif ori_model_name == 'o1-preview':
+            payload = {
+                "action": "next",
+                "messages": formatted_messages,
+                "parent_message_id": str(uuid.uuid4()),
+                "model": "o1-preview",
+                "timezone_offset_min": -480,
+                "suggestions": [
+                    "What are 5 creative things I could do with my kids' art? I don't want to throw them away, "
+                    "but it's also so much clutter.",
+                    "I want to cheer up my friend who's having a rough day. Can you suggest a couple short and sweet "
+                    "text messages to go with a kitten gif?",
+                    "Come up with 5 concepts for a retro-style arcade game.",
+                    "I have a photoshoot tomorrow. Can you recommend me some colors and outfit options that will look "
+                    "good on camera?"
+                ],
+                "variant_purpose": "comparison_implicit",
+                "history_and_training_disabled": False,
+                "conversation_mode": {
+                    "kind": "primary_assistant"
+                },
+                "force_paragen": False,
+                "force_paragen_model_slug": "",
+                "force_nulligen": False,
+                "force_rate_limit": False,
+                "reset_rate_limits": False,
+                "force_use_sse": True,
+            }
+        elif ori_model_name == 'o1-mini':
+            payload = {
+                "action": "next",
+                "messages": formatted_messages,
+                "parent_message_id": str(uuid.uuid4()),
+                "model": "o1-mini",
+                "timezone_offset_min": -480,
+                "suggestions": [
+                    "What are 5 creative things I could do with my kids' art? I don't want to throw them away, "
+                    "but it's also so much clutter.",
+                    "I want to cheer up my friend who's having a rough day. Can you suggest a couple short and sweet "
+                    "text messages to go with a kitten gif?",
+                    "Come up with 5 concepts for a retro-style arcade game.",
+                    "I have a photoshoot tomorrow. Can you recommend me some colors and outfit options that will look "
+                    "good on camera?"
+                ],
+                "variant_purpose": "comparison_implicit",
+                "history_and_training_disabled": False,
+                "conversation_mode": {
+                    "kind": "primary_assistant"
+                },
+                "force_paragen": False,
+                "force_paragen_model_slug": "",
+                "force_nulligen": False,
+                "force_rate_limit": False,
+                "reset_rate_limits": False,
+                "force_use_sse": True,
+            }
+
         elif 'gpt-4-gizmo-' in model:
             payload = generate_gpts_payload(model, formatted_messages)
             if not payload:
@@ -924,7 +1028,7 @@ def send_text_prompt_and_get_response(messages, api_key, account_id, stream, mod
         if NEED_DELETE_CONVERSATION_AFTER_RESPONSE:
             logger.debug(f"是否保留会话: {NEED_DELETE_CONVERSATION_AFTER_RESPONSE == False}")
             payload['history_and_training_disabled'] = True
-        if ori_model_name not in ['gpt-3.5-turbo', 'gpt-4-o']:
+        if ori_model_name not in ['gpt-3.5-turbo']:
             if CUSTOM_ARKOSE:
                 token = get_token()
                 payload["arkose_token"] = token
@@ -1175,6 +1279,7 @@ def data_fetcher(upstream_response, data_queue, stop_event, last_data_time, api_
     file_output_accumulating = False
     execution_output_image_url_buffer = ""
     execution_output_image_id_buffer = ""
+    message = None
     try:
         for chunk in upstream_response.iter_content(chunk_size=1024):
             if stop_event.is_set():
@@ -1195,8 +1300,10 @@ def data_fetcher(upstream_response, data_queue, stop_event, last_data_time, api_
                 while 'data:' in buffer and '\n\n' in buffer:
                     end_index = buffer.index('\n\n') + 2
                     complete_data, buffer = buffer[:end_index], buffer[end_index:]
-                    # 解析 data 块
                     try:
+                        data_content = complete_data.replace('data', '').strip()
+                        if not data_content:
+                            continue
                         data_json = json.loads(complete_data.replace('data: ', ''))
                         # print(f"data_json: {data_json}")
                         message = data_json.get("message", {})
@@ -1509,6 +1616,10 @@ def data_fetcher(upstream_response, data_queue, stop_event, last_data_time, api_
                                             execution_output_image_id_buffer = image_file_id
 
                         # 从 new_text 中移除 <<ImageDisplayed>>
+                        new_text = new_text.replace(
+                            "All the files uploaded by the user have been fully loaded. Searching won't provide "
+                            "additional information.",
+                            UPLOAD_SUCCESS_TEXT)
                         new_text = new_text.replace("<<ImageDisplayed>>", "图片生成中，请稍后\n")
 
                         # print(f"收到数据: {data_json}")
@@ -1767,12 +1878,16 @@ def chat_completions():
     accessible_model_list = get_accessible_model_list()
     if model not in accessible_model_list and not 'gpt-4-gizmo-' in model:
         return jsonify({"error": "model is not accessible"}), 401
+    if "o1-" in ori_model_name:
+        # 使用列表推导式过滤系统角色
+        messages = [message for message in messages if message["role"] in ["user", "assistant"]]
 
     stream = data.get('stream', False)
 
     auth_header = request.headers.get('Authorization')
     if not auth_header or not auth_header.startswith('Bearer '):
         return jsonify({"error": "Authorization header is missing or invalid"}), 401
+    api_key = None
     try:
         api_key = auth_header.split(' ')[1].split(',')[0].strip()
         account_id = auth_header.split(' ')[1].split(',')[1].strip()
@@ -1797,6 +1912,9 @@ def chat_completions():
     upstream_response = send_text_prompt_and_get_response(messages, api_key, account_id, stream, model,
                                                           proxy_api_prefix)
 
+    if upstream_response.status_code != 200:
+        return jsonify({"error": f"{upstream_response.text}"}), upstream_response.status_code
+
     # 在非流式响应的情况下，我们需要一个变量来累积所有的 new_text
     all_new_text = ""
 
@@ -1930,18 +2048,21 @@ def images_generations():
         return jsonify({"error": "PROXY_API_PREFIX is not accessible"}), 401
     data = request.json
     logger.debug(f"data: {data}")
+    api_key = None
     # messages = data.get('messages')
     model = data.get('model')
     accessible_model_list = get_accessible_model_list()
     if model not in accessible_model_list and not 'gpt-4-gizmo-' in model:
         return jsonify({"error": "model is not accessible"}), 401
 
-    prompt = data.get('prompt', '')
-
-    prompt = DALLE_PROMPT_PREFIX + prompt
-
     # 获取请求中的response_format参数，默认为"url"
     response_format = data.get('response_format', 'url')
+    # 获取请求中的size参数，默认为"1024x1024"
+    response_size = data.get('size', '1024x1024')
+
+    prompt = data.get('prompt', '')
+
+    prompt = DALLE_PROMPT_PREFIX + '\nprompt:' + prompt + '\nsize:' + response_size
 
     # stream = data.get('stream', False)
 
@@ -1982,6 +2103,9 @@ def images_generations():
 
     upstream_response = send_text_prompt_and_get_response(messages, api_key, account_id, False, model, proxy_api_prefix)
 
+    if upstream_response.status_code != 200:
+        return jsonify({"error": f"{upstream_response.text}"}), upstream_response.status_code
+
     # 在非流式响应的情况下，我们需要一个变量来累积所有的 new_text
     all_new_text = ""
 
@@ -2000,6 +2124,7 @@ def images_generations():
         conversation_id = ''
         citation_buffer = ""
         citation_accumulating = False
+        message = None
         for chunk in upstream_response.iter_content(chunk_size=1024):
             if chunk:
                 buffer += chunk.decode('utf-8')
@@ -2022,7 +2147,7 @@ def images_generations():
                         # print(f"data_json: {data_json}")
                         message = data_json.get("message", {})
 
-                        if message == None:
+                        if message is None:
                             logger.error(f"message 为空: data_json: {data_json}")
 
                         message_status = message.get("status")
@@ -2414,18 +2539,15 @@ def get_file(filename):
 @app.route(f'/{API_PREFIX}/getAccountID' if API_PREFIX else '/getAccountID', methods=['POST'])
 @cross_origin()  # 使用装饰器来允许跨域请求
 def getAccountID():
-    logger.info(f"New Img Request")
+    logger.info(f"New Account Request")
     proxy_api_prefix = getPROXY_API_PREFIX(lock)
-    if proxy_api_prefix == None:
+    if proxy_api_prefix is None:
         return jsonify({"error": "PROXY_API_PREFIX is not accessible"}), 401
     auth_header = request.headers.get('Authorization')
     if not auth_header or not auth_header.startswith('Bearer '):
         return jsonify({"error": "Authorization header is missing or invalid"}), 401
-    try:
     api_key = auth_header.split(' ')[1].split(',')[0].strip()
-        account_id = auth_header.split(' ')[1].split(',')[1].strip()
-    except IndexError:
-        account_id = None
+
     if not api_key.startswith("eyJhb"):
         refresh_token = api_key
         if api_key in refresh_dict: