1 line
1.7 KiB
JSON
1 line
1.7 KiB
JSON
{"repo": "answerlink/intelliq", "files": {"config/__init__.py": {"9d5ab146139ef492d9c46e17d7989359d29efd5f": {"t": 1785674110.7590632, "n": 1267, "h": "5c8edf120c2e4b3d", "c": "print(\"Config package initialized.\")\n\nDEBUG = True\n\n# MODEL ------------------------------------------------------------------------\n\n# 模型支持OpenAI规范接口\nGPT_URL = 'https://api.siliconflow.cn/v1/chat/completions'\nMODEL = 'Qwen/Qwen3-32B'\nAPI_KEY = 'sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx'\nSYSTEM_PROMPT = 'You are a helpful assistant.'\n\n# MODEL ------------------------------------------------------------------------\n\n# API CONFIGURATION ------------------------------------------------------------------------\n\n# API基础地址\nAPI_BASE_URL = 'http://xxxxxxx:xxxx'\n\n# 场景配置API地址(已弃用)\nSCENE_CONFIG_API_URL = f'{API_BASE_URL}/api/mock_slots'\n\n# 场景处理API地址模板\nSCENE_API_URL_TEMPLATE = f'{API_BASE_URL}/api/{{scene_name}}'\n\n# API请求超时时间（秒）\nAPI_TIMEOUT = 10\n\n# API CONFIGURATION ------------------------------------------------------------------------\n\n# CONFIGURATION ------------------------------------------------------------------------\n\n# 意图相关性判断阈值0-1（已废弃，保留用于兼容性）\nRELATED_INTENT_THRESHOLD = 0.5\n\n# 聊天记录数量（发送给LLM的历史消息条数）\nCHAT_HISTORY_COUNT = 3\n\n# 无场景识别的默认响应\nNO_SCENE_RESPONSE = \"您好，请问您需要办理什么业务？\"\n\n# API结果处理提示词\nAPI_RESULT_PROMPT = \"以下是查询的结果，请向用户解释，禁止使用markdown：\\n\\n{api_result}：\"\n\n# CONFIGURATION ------------------------------------------------------------------------\n"}}}} |