1 line
1.8 KiB
JSON
1 line
1.8 KiB
JSON
{"repo": "0lin0-c/wecom-scrm", "files": {"tests/test.py": {"55d6af83dcad99fc658055b79e5aecc46aeb2d7a": {"t": 1785768181.8204165, "n": 1309, "h": "ae33ec1b30309319", "c": "import requests\nimport json\n\n# app = FastAPI()\n\nOPENAI_API_KEY = \"sk-sp-iP9d7tGzkcMhgjkDVhhZ7XIhhZuTfZEGORVw0TlltsALWQq7\"\n\n# 建议尝试这个更完整的地址\nTARGET_URL = \"https://api.lkeap.cloud.tencent.com/coding/v3/chat/completions\"\nMODEL_NAME = \"glm-5\"\n\ndef test_api():\n payload = {\n \"model\": MODEL_NAME,\n \"messages\": [\n {\"role\": \"user\", \"content\": \"你好，请回复‘收到’\"}\n ],\n \"stream\": False\n }\n \n headers = {\n \"Authorization\": f\"Bearer {OPENAI_API_KEY}\",\n \"Content-Type\": \"application/json\"\n }\n\n print(f\"--- 正在发起测试 ---\")\n print(f\"目标地址: {TARGET_URL}\")\n \n try:\n response = requests.post(TARGET_URL, headers=headers, json=payload, timeout=10)\n \n print(f\"状态码: {response.status_code}\")\n print(f\"原始返回内容: {response.text}\")\n \n if response.status_code == 200:\n print(\"✅ 恭喜！接口调用成功。\")\n print(f\"模型回复: {response.json()['choices'][0]['message']['content']}\")\n elif response.status_code == 404:\n print(\"❌ 依然返回 404：请确认 URL。如果加上 /chat/completions 还报错，请登录腾讯云控制台确认该模型对应的 API Endpoint。\")\n elif response.status_code == 401:\n print(\"❌ 返回 401：API Key 无效或已过期。\")\n \n except Exception as e:\n print(f\"❌ 请求发生异常: {e}\")\n\nif __name__ == \"__main__\":\n test_api()"}}}} |