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108
MCP/gemini_image_test.py
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108
MCP/gemini_image_test.py
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import json
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import requests
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import re
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# ================= 配置区域 =================
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# 1. 认证令牌 (Authorization Token)
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# 每次运行前，请确保从浏览器开发者工具中获取一个新的令牌
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AUTH_TOKEN = "Bearer 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.eyJpc3MiOiJodHRwczovL2J1c2luZXNzLmdlbWluaS5nb29nbGUiLCJhdWQiOiJodHRwczovL2Jpei1kaXNjb3ZlcnllbmdpbmUuZ29vZ2xlYXBpcy5jb20iLCJzdWIiOiJjc2VzaWR4LzMyNjAzOTY4OCIsImlhdCI6MTc2NTE2NzM4NiwiZXhwIjoxNzY1MTY3Njg2LCJuYmYiOjE3NjUxNjczODZ9.urQLDoUDAEjQhX8c42hJfKU28WoKn8-0tGjgX5RqhtY"
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# 2. 接口地址
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TARGET_URL = "https://biz-discoveryengine.googleapis.com/v1alpha/locations/global/widgetStreamAssist"
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# 3. 会话 ID 和 Config ID (使用图片生成时的固定值)
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SESSION_ID = "collections/default_collection/engines/agentspace-engine/sessions/16190456916940072265"
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CONFIG_ID = "36cc1840-8078-4a90-ad0a-6f995a52af32"
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# ===============================================================
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def parse_gemini_response(text):
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"""
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根据真实的流式响应，精确解析并拼接 Gemini 的文本和图片文件回复。
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"""
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print("------ 原始响应 ------")
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print(text)
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print("--------------------")
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try:
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full_response_parts = []
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# 响应体是由换行符分隔的一系列JSON对象
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lines = text.strip().split('\n')
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for line in lines:
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try:
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data = json.loads(line)
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replies = data.get("streamAssistResponse", {}).get("answer", {}).get("replies", [])
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for reply in replies:
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content = reply.get("groundedContent", {}).get("content", {})
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# 检查并提取文本内容
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if "text" in content:
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full_response_parts.append(content["text"])
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# 检查并提取文件（图片）内容
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if "file" in content and "fileId" in content["file"]:
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file_id = content["file"]["fileId"]
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# 将 fileId 构造成一个 Markdown 图片链接。
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image_markdown = f"\n\n"
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full_response_parts.append(image_markdown)
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except (json.JSONDecodeError):
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# 忽略无法解析为JSON的行
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continue
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if full_response_parts:
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return "".join(full_response_parts)
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return "未能从响应流中提取有效内容。"
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except Exception as e:
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return f"解析响应时发生未知错误: {e}"
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def send_test_request(prompt: str):
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"""
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发送一次测试请求并返回结果。
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"""
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if "在此处粘贴" in AUTH_TOKEN:
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return "错误: 请在脚本中填入真实的 AUTH_TOKEN"
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payload = {
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"configId": CONFIG_ID,
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"additionalParams": {"token": "-"},
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"streamAssistRequest": {
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"session": SESSION_ID,
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"query": {"parts": [{"text": "\n" + prompt}]},
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"answerGenerationMode": "NORMAL",
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"assistGenerationConfig": {"modelId": "gemini-3-pro-preview"},
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"assistSkippingMode": "REQUEST_ASSIST",
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"languageCode": "zh-CN",
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"userMetadata": {"timeZone": "Asia/Shanghai"}
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}
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}
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headers = {
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"accept": "*/*",
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"authorization": AUTH_TOKEN,
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"content-type": "application/json",
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"origin": "https://business.gemini.google",
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"referer": "https://business.gemini.google/",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",
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}
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try:
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print(f"正在发送图片生成测试请求: {prompt[:100]}...")
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resp = requests.post(TARGET_URL, headers=headers, json=payload)
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if resp.status_code != 200:
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return f"请求失败! 状态码: {resp.status_code}\n响应内容:\n{resp.text}"
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return parse_gemini_response(resp.text)
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except Exception as e:
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return f"发生异常: {e}"
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if __name__ == '__main__':
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test_prompt = "画一只戴着宇航员头盔的猫"
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result = send_test_request(test_prompt)
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print("\n====== 图片生成测试结果 ======")
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print(result)
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print("==============================")
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123
MCP/gemini_proxy.py
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123
MCP/gemini_proxy.py
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@@ -0,0 +1,123 @@
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import json
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import requests
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from flask import Flask, request, Response
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import re
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# ================= 配置区域 =================
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AUTH_TOKEN = "Bearer 在此处粘贴您的最新Authorization令牌"
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TARGET_URL = "https://biz-discoveryengine.googleapis.com/v1alpha/locations/global/widgetStreamAssist"
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SESSION_ID = "collections/default_collection/engines/agentspace-engine/sessions/16190456916940072265"
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CONFIG_ID = "36cc1840-8078-4a90-ad0a-6f995a52af32"
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# ===============================================================
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app = Flask(__name__)
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def parse_gemini_response(text):
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"""
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最终版精确解析器。
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"""
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try:
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full_response_parts = []
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lines = text.strip().split('\n')
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for line in lines:
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try:
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if line.strip().startswith('{') and line.strip().endswith('}'):
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data = json.loads(line)
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replies = data.get("streamAssistResponse", {}).get("answer", {}).get("replies", [])
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for reply in replies:
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content = reply.get("groundedContent", {}).get("content", {})
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if isinstance(content, dict) and "text" in content:
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full_response_parts.append(content["text"])
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if isinstance(content, dict) and "file" in content and "fileId" in content.get("file", {}):
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file_id = content["file"]["fileId"]
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image_markdown = f"\n\n"
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full_response_parts.append(image_markdown)
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except (json.JSONDecodeError):
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continue
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if full_response_parts:
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return "".join(full_response_parts)
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return "未能从响应流中提取有效内容。"
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except Exception as e:
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return f"解析响应时发生未知错误: {e}"
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@app.route('/v1/chat/completions', methods=['POST'])
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def proxy():
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if "在此处粘贴" in AUTH_TOKEN:
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return Response('{"error": "请在 gemini_proxy.py 脚本中配置 AUTH_TOKEN"}', status=500, mimetype='application/json')
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openai_request = request.json
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messages = openai_request.get('messages', [])
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# 恢复到原始状态：简单拼接所有消息内容
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prompt = ""
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for msg in messages:
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role = msg.get('role', 'user')
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content = msg.get('content', '')
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prompt += f"{role}: {str(content)}\n"
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print(f"收到请求: {prompt[:100]}...")
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payload = {
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"configId": CONFIG_ID,
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"additionalParams": {"token": "-"},
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"streamAssistRequest": {
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"session": SESSION_ID,
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"query": {"parts": [{"text": "\n" + prompt}]},
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"answerGenerationMode": "NORMAL",
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"assistGenerationConfig": {"modelId": "gemini-3-pro-preview"},
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"assistSkippingMode": "REQUEST_ASSIST",
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"languageCode": "zh-CN",
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"userMetadata": {"timeZone": "Asia/Shanghai"}
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}
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}
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headers = {
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"accept": "*/*",
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"authorization": AUTH_TOKEN,
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"content-type": "application/json",
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"origin": "https://business.gemini.google",
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"referer": "https://business.gemini.google/",
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"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",
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}
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try:
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resp = requests.post(TARGET_URL, headers=headers, json=payload)
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if resp.status_code != 200:
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return Response(f'{{"error": "Gemini 请求失败", "status_code": {resp.status_code}, "details": "{resp.text}"}}', status=500, mimetype='application/json')
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gemini_text = parse_gemini_response(resp.text)
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openai_resp = {
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"id": "chatcmpl-gemini-enterprise-proxy",
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"object": "chat.completion",
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"created": 0,
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"choices": [{
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"index": 0,
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"message": {
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"role": "assistant",
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"content": gemini_text
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},
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"finish_reason": "stop"
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}],
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"usage": {"prompt_tokens": 0, "completion_tokens": 0, "total_tokens": 0}
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}
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return Response(json.dumps(openai_resp), mimetype='application/json')
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except Exception as e:
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return Response(f'{{"error": "代理服务器内部错误", "details": "{str(e)}"}}', status=500, mimetype='application/json')
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if __name__ == '__main__':
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print("Gemini Enterprise to OpenAI Proxy")
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print("服务已启动: http://localhost:5000/v1/chat/completions")
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print("请注意：每次启动前，您可能都需要更新脚本中的 AUTH_TOKEN。")
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app.run(port=5000, debug=False)
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113
MCP/gemini_proxy_test.py
Normal file
113
MCP/gemini_proxy_test.py
Normal file
@@ -0,0 +1,113 @@
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import json
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import requests
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|
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# ================= 配置区域 =================
|
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|
|
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# 1. 认证令牌 (Authorization Token)
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# 从 widgetStreamAssist 请求的 "Request Headers" -> "Authorization" 复制
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|
AUTH_TOKEN = "Bearer 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.eyJpc3MiOiJodHRwczovL2J1c2luZXNzLmdlbWluaS5nb29nbGUiLCJhdWQiOiJodHRwczovL2Jpei1kaXNjb3ZlcnllbmdpbmUuZ29vZ2xlYXBpcy5jb20iLCJzdWIiOiJjc2VzaWR4LzMyNjAzOTY4OCIsImlhdCI6MTc2NTE2NjUwMSwiZXhwIjoxNzY1MTY2ODAxLCJuYmYiOjE3NjUxNjY1MDF9.g_pzR-3_OaL8eXHh_5alAuJeMKL56O5rS1JcX63Twmw"
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|
|
||||||
|
# 2. 接口地址
|
||||||
|
TARGET_URL = "https://biz-discoveryengine.googleapis.com/v1alpha/locations/global/widgetStreamAssist"
|
||||||
|
|
||||||
|
# 3. 会话 ID 和 Config ID (从真实 Payload 复制)
|
||||||
|
SESSION_ID = "collections/default_collection/engines/agentspace-engine/sessions/16611680310063068731"
|
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|
CONFIG_ID = "36cc1840-8078-4a90-ad0a-6f995a52af32"
|
||||||
|
|
||||||
|
# ===============================================================
|
||||||
|
|
||||||
|
def parse_gemini_response(text):
|
||||||
|
"""
|
||||||
|
根据您提供的真实响应体，更新解析器。
|
||||||
|
"""
|
||||||
|
print("------ 原始响应 ------")
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|
print(text)
|
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|
print("--------------------")
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||||||
|
try:
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|
full_response = ""
|
||||||
|
# 响应体可能是一系列由换行符分隔的JSON对象
|
||||||
|
# 我们需要找到包含有效文本块的部分
|
||||||
|
# 注意：真实的流式响应可能更复杂，这里是一个简化版解析
|
||||||
|
lines = text.strip().split('\n')
|
||||||
|
for line in lines:
|
||||||
|
try:
|
||||||
|
data = json.loads(line)
|
||||||
|
# 根据您提供的响应体，路径是 streamAssistResponse -> answer -> replies -> [0] -> groundedContent -> content -> text
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||||||
|
text_chunk = data["streamAssistResponse"]["answer"]["replies"][0]["groundedContent"]["content"]["text"]
|
||||||
|
full_response += text_chunk
|
||||||
|
except (KeyError, IndexError, TypeError, json.JSONDecodeError):
|
||||||
|
continue
|
||||||
|
if full_response:
|
||||||
|
return full_response
|
||||||
|
return "未能从响应流中提取有效文本。"
|
||||||
|
except Exception as e:
|
||||||
|
return f"解析响应失败: {e}"
|
||||||
|
|
||||||
|
def send_test_request(prompt: str):
|
||||||
|
"""
|
||||||
|
发送一次测试请求并返回结果。
|
||||||
|
"""
|
||||||
|
if "在此处粘贴" in AUTH_TOKEN:
|
||||||
|
return "错误: 请在脚本中填入真实的 AUTH_TOKEN"
|
||||||
|
|
||||||
|
# 使用您提供的真实Payload结构，并动态插入prompt
|
||||||
|
# 关键修正：在prompt前添加 '\n' 以完全模拟浏览器行为
|
||||||
|
payload = {
|
||||||
|
"configId": CONFIG_ID,
|
||||||
|
"additionalParams": {"token": "-"},
|
||||||
|
"streamAssistRequest": {
|
||||||
|
"session": SESSION_ID,
|
||||||
|
"query": {"parts": [{"text": "\n" + prompt}]}, # <--- 关键修正
|
||||||
|
"filter": "",
|
||||||
|
"fileIds": [],
|
||||||
|
"answerGenerationMode": "NORMAL",
|
||||||
|
"toolsSpec": {
|
||||||
|
"webGroundingSpec": {},
|
||||||
|
"toolRegistry": "default_tool_registry",
|
||||||
|
"imageGenerationSpec": {},
|
||||||
|
"videoGenerationSpec": {}
|
||||||
|
},
|
||||||
|
"languageCode": "zh-CN",
|
||||||
|
"userMetadata": {"timeZone": "Asia/Shanghai"},
|
||||||
|
"assistSkippingMode": "REQUEST_ASSIST",
|
||||||
|
"assistGenerationConfig": {"modelId": "gemini-3-pro-preview"}
|
||||||
|
}
|
||||||
|
}
|
||||||
|
|
||||||
|
# 使用您提供的完整请求头
|
||||||
|
headers = {
|
||||||
|
"accept": "*/*",
|
||||||
|
"accept-language": "zh-CN,zh;q=0.9,en;q=0.8,en-GB;q=0.7,en-US;q=0.6",
|
||||||
|
"authorization": AUTH_TOKEN,
|
||||||
|
"content-type": "application/json",
|
||||||
|
"origin": "https://business.gemini.google",
|
||||||
|
"priority": "u=1, i",
|
||||||
|
"referer": "https://business.gemini.google/",
|
||||||
|
"sec-ch-ua": '"Microsoft Edge";v="143", "Chromium";v="143", "Not A(Brand";v="24"',
|
||||||
|
"sec-ch-ua-mobile": "?0",
|
||||||
|
"sec-ch-ua-platform": '"Windows"',
|
||||||
|
"sec-fetch-dest": "empty",
|
||||||
|
"sec-fetch-mode": "cors",
|
||||||
|
"sec-fetch-site": "cross-site",
|
||||||
|
"user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/143.0.0.0 Safari/537.36 Edg/143.0.0.0",
|
||||||
|
"x-server-timeout": "1800",
|
||||||
|
}
|
||||||
|
|
||||||
|
try:
|
||||||
|
print(f"正在发送测试请求: {prompt[:100]}...")
|
||||||
|
resp = requests.post(TARGET_URL, headers=headers, json=payload)
|
||||||
|
|
||||||
|
if resp.status_code != 200:
|
||||||
|
return f"请求失败! 状态码: {resp.status_code}\n响应内容:\n{resp.text}"
|
||||||
|
|
||||||
|
return parse_gemini_response(resp.text)
|
||||||
|
|
||||||
|
except Exception as e:
|
||||||
|
return f"发生异常: {e}"
|
||||||
|
|
||||||
|
if __name__ == '__main__':
|
||||||
|
test_prompt = "你好世界"
|
||||||
|
result = send_test_request(test_prompt)
|
||||||
|
print("\n====== 测试结果 ======")
|
||||||
|
print(result)
|
||||||
|
print("======================")
|
||||||
Reference in New Issue
Block a user