775db2b0
 tangwang
xinfer
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import openai
import time
import requests
import json
client = openai.Client(
api_key="cannot be empty",
base_url="http://127.0.0.1:9997/v1"
)
# 记录开始时间
start_time = time.time()
a = client.embeddings.create(
model='bge-m3',
input=["What is the capital of China?"]
)
# 记录结束时间
end_time = time.time()
#print(a)
print(f"\n耗时: {end_time - start_time:.4f} 秒")
# 记录开始时间
start_time = time.time()
a = client.embeddings.create(
model='Qwen3-Embedding-0.6B',
input=["What is the capital of China?"]
)
# 记录结束时间
end_time = time.time()
#print(a)
print(f"\n耗时: {end_time - start_time:.4f} 秒")
# ========== HTTP API 测试 ==========
print("\n" + "="*50)
print("HTTP API 测试")
print("="*50)
# 配置
XINFERENCE_HOST = "127.0.0.1"
XINFERENCE_PORT = "9997"
base_url = f"http://{XINFERENCE_HOST}:{XINFERENCE_PORT}/v1/embeddings"
# 测试 bge-m3 模型
print("\n测试模型: bge-m3")
start_time = time.time()
response = requests.post(
base_url,
headers={
'accept': 'application/json',
'Content-Type': 'application/json'
},
json={
"model": "bge-m3",
"input": "What is the capital of China?"
}
)
end_time = time.time()
if response.status_code == 200:
result = response.json()
print(f"状态码: {response.status_code}")
print(f"模型: {result.get('model', 'N/A')}")
print(f"使用token数: {result.get('usage', {}).get('total_tokens', 'N/A')}")
print(f"嵌入向量维度: {len(result.get('data', [{}])[0].get('embedding', []))}")
print(f"耗时: {end_time - start_time:.4f} 秒")
else:
print(f"请求失败，状态码: {response.status_code}")
print(f"错误信息: {response.text}")
# 测试 Qwen3-Embedding-0.6B 模型
print("\n测试模型: Qwen3-Embedding-0.6B")
start_time = time.time()
response = requests.post(
base_url,
headers={
'accept': 'application/json',
'Content-Type': 'application/json'
},
json={
"model": "Qwen3-Embedding-0.6B",
"input": "What is the capital of China?"
}
)
end_time = time.time()
if response.status_code == 200:
result = response.json()
print(f"状态码: {response.status_code}")
print(f"模型: {result.get('model', 'N/A')}")
print(f"使用token数: {result.get('usage', {}).get('total_tokens', 'N/A')}")
print(f"嵌入向量维度: {len(result.get('data', [{}])[0].get('embedding', []))}")
print(f"耗时: {end_time - start_time:.4f} 秒")
else:
print(f"请求失败，状态码: {response.status_code}")
print(f"错误信息: {response.text}")
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