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CommonstackAI
TokenSlim
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test_compression.py
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test_compression.py
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"""测试 STG 压缩功能"""
import json
import httpx
# 创建一个超过阈值的对话
messages = [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "解释 CAP 定理"},
{"role": "assistant", "content": "CAP 定理是分布式系统中的一个重要理论。" * 500}, # 更长的回复
{"role": "user", "content": "举个实际例子"},
{"role": "assistant", "content": "比如 DynamoDB 选择了 AP,牺牲了强一致性。" * 500}, # 更长的回复
{"role": "user", "content": "那和 BASE 有什么关系"},
{"role": "assistant", "content": "BASE 理论是 CAP 的延伸,强调最终一致性。" * 500}, # 更长的回复
{"role": "user", "content": "总结一下"},
]
payload = {
"model": "qwen/qwen3.5-27b",
"messages": messages,
"max_tokens": 100,
"temperature": 0.7,
"stream": False,
}
print("发送测试请求到 STG...")
print(f"消息数量: {len(messages)}")
# 不使用代理,直接连接 STG
response = httpx.post(
"http://127.0.0.1:8404/v1/chat/completions",
json=payload,
headers={"Content-Type": "application/json"},
timeout=120.0,
)
print(f"\n状态码: {response.status_code}")
print(f"\n响应头:")
for key, value in response.headers.items():
if key.lower().startswith("x-stg"):
print(f" {key}: {value}")
if response.status_code == 200:
data = response.json()
print(f"\n响应内容:")
print(f" Model: {data.get('model')}")
print(f" Choices: {len(data.get('choices', []))}")
if data.get("choices"):
content = data["choices"][0]["message"]["content"]
print(f" Content length: {len(content)} chars")
print(f" Content preview: {content[:200]}...")
else:
print(f"\n错误: {response.text}")
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