chore: 清理测试文件

langgraph-tutorial/debug_api.py

@@ -1,47 +0,0 @@
-import requests
-import json
-
-url = "https://gw2.oops.asia/v1/chat/completions"
-headers = {
-    "Content-Type": "application/json",
-    "Authorization": "Bearer sk-f5ba1acb1d61c39f754c28f19d0e6e1b7d8d9fda43ef812ce4e335b6c26eff01"
-}
-
-# 测试不同的请求格式
-test_cases = [
-    {
-        "name": "标准格式",
-        "body": {
-            "model": "gpt-5.4-mini",
-            "messages": [{"role": "user", "content": "Say hi"}],
-            "max_tokens": 20
-        }
-    },
-    {
-        "name": "带 temperature",
-        "body": {
-            "model": "gpt-5.4-mini",
-            "messages": [{"role": "user", "content": "Say hi"}],
-            "max_tokens": 20,
-            "temperature": 0.3
-        }
-    },
-    {
-        "name": "带 stream",
-        "body": {
-            "model": "gpt-5.4-mini",
-            "messages": [{"role": "user", "content": "Say hi"}],
-            "max_tokens": 20,
-            "stream": False
-        }
-    }
-]
-
-for test in test_cases:
-    print(f"\n测试: {test['name']}")
-    try:
-        response = requests.post(url, headers=headers, json=test["body"], timeout=10)
-        print(f"  状态码: {response.status_code}")
-        print(f"  响应: {response.text[:200]}")
-    except Exception as e:
-        print(f"  错误: {e}")

langgraph-tutorial/list_models.py

@@ -1,12 +0,0 @@
-from openai import OpenAI
-
-client = OpenAI(
-    api_key="sk-f5ba1acb1d61c39f754c28f19d0e6e1b7d8d9fda43ef812ce4e335b6c26eff01",
-    base_url="https://gw2.oops.asia/v1"
-)
-
-models = client.models.list()
-print("支持的模型列表:")
-print("-" * 50)
-for m in models:
-    print(f"  {m.id}")

langgraph-tutorial/test_api.py

@@ -1,13 +0,0 @@
-from openai import OpenAI
-
-client = OpenAI(
-    api_key="sk-f5ba1acb1d61c39f754c28f19d0e6e1b7d8d9fda43ef812ce4e335b6c26eff01",
-    base_url="https://gw2.oops.asia/v1"
-)
-
-response = client.chat.completions.create(
-    model="gpt-5.4-mini",
-    messages=[{"role": "user", "content": "Say hi in Chinese"}],
-    max_tokens=20
-)
-print(response.choices[0].message.content)

langgraph-tutorial/test_models.py

@@ -1,23 +0,0 @@
-from openai import OpenAI
-
-client = OpenAI(
-    api_key="sk-f5ba1acb1d61c39f754c28f19d0e6e1b7d8d9fda43ef812ce4e335b6c26eff01",
-    base_url="https://gw2.oops.asia/v1"
-)
-
-models_to_test = ["gpt-4o-mini", "gpt-4o", "gpt-3.5-turbo", "gpt-5", "gpt-5.5", "claude-sonnet-4-20250514"]
-
-print("测试可用模型:")
-print("-" * 50)
-
-for model in models_to_test:
-    try:
-        response = client.chat.completions.create(
-            model=model,
-            messages=[{"role": "user", "content": "Say hi"}],
-            max_tokens=20
-        )
-        print(f"  ✅ {model} - OK")
-    except Exception as e:
-        error_msg = str(e)[:50]
-        print(f"  ❌ {model} - {error_msg}")