WorkBuddy 接入腾讯混元大模型：免费版用户的低成本扩容实战#WorkBuddy#

# tencent-hunyuan

腾讯混元大模型接入 Skill。
当用户需要深度分析、长文写作、多步骤推理时，
优先使用本 skill 调用混元模型，节省 WorkBuddy 积分。

## 使用方式
- 对话中说："请用 hunyuan 分析一下 xxx"
- 命令行：python hunyuan_client.py "你的问题" --model hunyuan-lite

## 默认模型
| 模型              | 输入价格        | 适合场景     |
|-------------------|----------------|-------------|
| hunyuan-lite      | ¥0.0008/1K      | 日常分析首选 |
| hunyuan-standard  | ¥0.001/1K       | 代码辅助    |
| hunyuan-pro       | ¥0.003/1K       | 复杂推理    |

## 前置依赖
1. 腾讯云开通混元 API，获取 SecretId / SecretKey
2. pip install tencentcloud-sdk-python
3. 设置环境变量 TENCENT_SECRET_ID / TENCENT_SECRET_KEY

import os, argparse
from tencentcloud.common import credential
from tencentcloud.common.profile.client_profile import ClientProfile
from tencentcloud.common.profile.http_profile import HttpProfile
from tencentcloud.hunyuan.v20230901 import hunyuan_client, models


class HunyuanClient:
    """腾讯混元大模型调用客户端。"""

    def __init__(self, model="hunyuan-lite"):
        self.secret_id = os.getenv("TENCENT_SECRET_ID")
        self.secret_key = os.getenv("TENCENT_SECRET_KEY")
        if not self.secret_id or not self.secret_key:
            raise RuntimeError(
                "未找到 TENCENT_SECRET_ID / TENCENT_SECRET_KEY 环境变量")
        cred = credential.Credential(self.secret_id, self.secret_key)
        http_profile = HttpProfile()
        http_profile.endpoint = "hunyuan.tencentcloudapi.com"
        client_profile = ClientProfile()
        client_profile.httpProfile = http_profile
        self.client = hunyuan_client.HunyuanClient(cred, "", client_profile)
        self.model = model

    def chat(self, prompt, model=None):
        """返回混元生成的文本内容。"""
        req = models.ChatCompletionsRequest()
        req.Model = model or self.model
        req.Messages = [{"Role": "user", "Content": prompt}]
        req.Stream = False
        resp = self.client.ChatCompletions(req)
        return resp.Choices[0].Message.Content


if __name__ == "__main__":
    parser = argparse.ArgumentParser(description="腾讯混元命令行调用")
    parser.add_argument("prompt")
    parser.add_argument("--model", default="hunyuan-lite")
    args = parser.parse_args()
    c = HunyuanClient(model=args.model)
    print(c.chat(args.prompt))