Grok 4.7 API 接入指南：模型 ID、500K 上下文与迁移步骤

[业务层请求] (不感知具体版本)
       │
       ▼
[网关路由中间件] (读取环境变量 ROUTE_CANARY_RATIO=0.1)
       │
       ├─► 基线流量 ──► 【Grok 4.6 已验证路径】
       │
       └─► 小比例流量 ──► 【Grok 4.7 验证路径】
                            │
                            ├─► 记录：成功率 / 延迟 / usage / 账单
                            └─► 异常时：停止放量并回滚至 4.6

import os
from openai import OpenAI

class GrokAdaptiveClient:
    def __init__(self):
        self.client = OpenAI(
            base_url="https://www.gpt345.com/v1",
            api_key=os.getenv("GPT345_API_KEY")
        )
        self.stable_model = "grok-4.6"
        self.new_model = os.getenv("GROK_MODEL", "grok-4.6")

    def create_chat_completion(self, messages, **kwargs):
        selected_model = self.new_model

        try:
            return self.client.chat.completions.create(
                model=selected_model,
                messages=messages,
                **kwargs
            )
        except Exception as e:
            if selected_model != self.stable_model:
                print(f"[回滚] {selected_model} 请求失败: {e}，改用 {self.stable_model}")
                return self.client.chat.completions.create(
                    model=self.stable_model,
                    messages=messages,
                    **kwargs
                )
            raise e

# 使用示例：默认回滚基线为 Grok 4.6；验收通过后设置 GROK_MODEL=grok-4.7
if __name__ == "__main__":
    gateway = GrokAdaptiveClient()
    resp = gateway.create_chat_completion(
        messages=[{"role": "user", "content": "用三点说明这段需求的验收标准。"}]
    )
    print("模型实际响应结果:", resp.choices[0].message.content)