refactor: use config.py for API configuration

langgraph-tutorial/README.md

@@ -33,20 +33,22 @@ python hello.py         # Hello World
 python conditional.py   # 条件边
 python loop.py          # 循环
 python agent.py         # AI 智能体 (模拟模式)
-python react_agent.py   # ReAct 智能体 (需要 API)
 ```
 
 ## ReAct 智能体配置
 
+编辑 `config.py`：
+
+```python
+API_KEY = "sk-..."              # 你的 API Key
+BASE_URL = "https://api.openai.com/v1"  # API 地址
+MODEL = "gpt-4o-mini"           # 模型名称
+MAX_ITERATIONS = 4              # 最大迭代次数
+TEMPERATURE = 0.3               # 温度参数
+```
+
+运行：
 ```powershell
-# 必需
-$env:OPENAI_API_KEY = "your-api-key"
-
-# 可选
-$env:OPENAI_BASE_URL = "https://your-api.com/v1"  # 默认 OpenAI
-$env:MODEL_NAME = "gpt-4o-mini"                    # 默认 gpt-4o-mini
-
-# 运行
 python react_agent.py                    # 内置测试
 python react_agent.py "你的问题"          # 自定义问题
 ```

langgraph-tutorial/config.py

@@ -0,0 +1,13 @@
+"""
+API 配置文件
+修改这里来配置你的 API
+"""
+
+# API 配置
+API_KEY = "sk-..."  # 你的 API Key
+BASE_URL = "https://api.openai.com/v1"  # API 地址（OpenAI 兼容）
+MODEL = "gpt-4o-mini"  # 模型名称
+
+# 智能体配置
+MAX_ITERATIONS = 4  # 最大迭代次数
+TEMPERATURE = 0.3   # 温度参数（越低越确定）

langgraph-tutorial/react_agent.py

@@ -1,23 +1,17 @@
 """
 LangGraph 第 5 步：真实 LLM 智能体
 ReAct 模式：思考(Reason) - 行动(Act) - 观察(Observe)
-支持自定义 OpenAI 兼容 API
+配置见 config.py
 """
-import os
 import sys
 from langgraph.graph import StateGraph, START, END
 from typing import TypedDict
 
-# 1️⃣ 配置 API
+# 1️⃣ 加载配置
-API_KEY = os.environ.get("OPENAI_API_KEY", "")
+from config import API_KEY, BASE_URL, MODEL, MAX_ITERATIONS, TEMPERATURE
-BASE_URL = os.environ.get("OPENAI_BASE_URL", "https://api.openai.com/v1")
-MODEL = os.environ.get("MODEL_NAME", "gpt-4o-mini")
 
-if not API_KEY:
+if API_KEY == "sk-...":
-    print("请先设置环境变量:")
+    print("请先在 config.py 中配置 API_KEY")
-    print("  $env:OPENAI_API_KEY = 'your-api-key'")
-    print("  $env:OPENAI_BASE_URL = 'your-api-base-url'  # 可选，默认 OpenAI")
-    print("  $env:MODEL_NAME = 'gpt-4o-mini'  # 可选")
     exit(1)
 
 from openai import OpenAI
@@ -95,7 +89,7 @@ def think_node(state: AgentState):
         model=MODEL,
         messages=messages,
         max_tokens=300,
-        temperature=0.3,
+        temperature=TEMPERATURE,
     )
 
     thought_text = response.choices[0].message.content
@@ -192,6 +186,7 @@ print("LangGraph ReAct 智能体")
 print("=" * 50)
 print(f"API: {BASE_URL}")
 print(f"模型: {MODEL}")
+print(f"最大迭代: {MAX_ITERATIONS}")
 print("\n图结构:")
 print("  START -> think -> [有行动?] -> act -> think (循环)")
 print("              |")
@@ -215,7 +210,7 @@ for q in questions:
         "question": q,
         "thoughts": [],
         "iteration": 0,
-        "max_iterations": 4,
+        "max_iterations": MAX_ITERATIONS,
         "action": "",
         "observation": "",
         "final_answer": "",