from openai import OpenAI
 
client = OpenAI(
    api_key="sk-xxxxxxxx",
    base_url="https://api.deepseek.com"
)
 
response = client.chat.completions.create(
    model="deepseek-chat",
    messages=[
        {
            "role": "user",
            "content": "河北大学在哪里？"
        }
    ]
)
 
print(response.choices[0].message.content)

河北大学位于**河北省保定市**。具体有两个主要校区：
 
1.  **五四路校区（校本部/老校区）**：地址为保定市莲池区五四东路180号。
2.  **七一路校区（新校区）**：地址为保定市莲池区七一东路2666号。
 
此外，学校还有裕华路校区（医学部）。河北大学的办学主体和主要教学科研活动主要集中在五四路校区和七一路校区。

$env:OPENAI_API_KEY="sk-xxxx"

setx OPENAI_API_KEY "sk-xxxx"

抱歉，我无法直接获取当前的实时时间。如果你需要知道现在的具体时间，可以查看设备上的时钟显示（比如手机、电脑或手表）。如果有其他问题，欢迎随时问我！ 😊

import os
import json
from openai import OpenAI
from datetime import datetime
 
# =========================
# 1. Client（DeepSeek / OpenAI）
# =========================
client = OpenAI(
    api_key=os.getenv("OPENAI_API_KEY"),
    base_url="https://api.deepseek.com"
)
 
# =========================
# 2. Tools
# =========================
 
def get_time():
    return datetime.now().strftime("%Y-%m-%d %H:%M:%S")
 
 
def calculator(expression: str):
    try:
        return str(eval(expression))
    except Exception as e:
        return f"error: {str(e)}"
 
 
TOOLS = {
    "get_time": get_time,
    "calculator": calculator,
}
 
# =========================
# 3. System Prompt
# =========================
 
SYSTEM_PROMPT = """
你是一个工具调用型 Agent。
 
你必须严格输出 JSON，不能输出任何多余文本。
 
输出格式只有两种：
 
1. 调用工具：
{
  "action": "tool",
  "name": "tool_name",
  "args": {}
}
 
2. 最终回答：
{
  "action": "final",
  "answer": "xxx"
}
 
规则：
- 时间问题必须用 get_time
- 计算必须用 calculator
- 不允许编造工具结果
"""
 
# =========================
# 4. Agent Loop
# =========================
 
def run_agent(user_input: str):
    messages = [
        {"role": "system", "content": SYSTEM_PROMPT},
        {"role": "user", "content": user_input}
    ]
 
    while True:
        resp = client.chat.completions.create(
            model="deepseek-chat",
            messages=messages,
            response_format={"type": "json_object"}
        )
 
        content = resp.choices[0].message.content
        print("\n[LLM raw output]", content)
 
        # -------------------------
        # parse JSON safely
        # -------------------------
        try:
            data = json.loads(content)
        except Exception:
            return "LLM output is not valid JSON"
 
        # =========================
        # TOOL CALL
        # =========================
        if data["action"] == "tool":
            tool_name = data["name"]
            args = data.get("args", {})
 
            print(f"[Tool call] {tool_name} {args}")
 
            tool_result = TOOLS[tool_name](**args)
 
            messages.append({
                "role": "assistant",
                "content": content
            })
 
            messages.append({
                "role": "user",
                "content": f"tool_result: {tool_result}"
            })
 
        # =========================
        # FINAL ANSWER
        # =========================
        else:
            return data["answer"]
 
# =========================
# 5. Run
# =========================
 
if __name__ == "__main__":
    while True:
        q = input("\nYou: ")
        if q.lower() in ["exit", "quit"]:
            break
 
        ans = run_agent(q)
        print("\nAgent:", ans)

You: What is the time now?
 
[LLM raw output] {"action": "tool", "name": "get_time", "args": {}}
[Tool call] get_time {}
 
[LLM raw output] {"action": "final", "answer": "The current time is 2026-05-17 10:25:08."}
 
Agent: The current time is 2026-05-17 10:25:08.

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