快速调用
https://api.junji-tech.comPython · Chat Completions
from openai import OpenAI
client = OpenAI(
api_key="jsk_live_your_key",
base_url="https://api.junji-tech.com/v1",
)
response = client.chat.completions.create(
model="deepseek-v4-flash",
messages=[{"role": "user", "content": "用一句话解释什么是张量并行。"}],
)
print(response.choices[0].message.content)
HTTP · Chat Completions
POST /v1/chat/completions HTTP/1.1
Host: api.junji-tech.com
Authorization: Bearer jsk_live_your_key
Content-Type: application/json
{
"model": "deepseek-v4-flash",
"messages": [{"role": "user", "content": "用一句话解释什么是张量并行。"}]
}
Python · Responses
from openai import OpenAI
client = OpenAI(
api_key="jsk_live_your_key",
base_url="https://api.junji-tech.com/v1",
)
response = client.responses.create(
model="deepseek-v4-flash",
input="用一句话解释什么是张量并行。",
)
print(response.output_text)
HTTP · Responses
POST /v1/responses HTTP/1.1
Host: api.junji-tech.com
Authorization: Bearer jsk_live_your_key
Content-Type: application/json
{
"model": "deepseek-v4-flash",
"input": "用一句话解释什么是张量并行。"
}
Python · Anthropic Messages
from anthropic import Anthropic
client = Anthropic(
api_key="jsk_live_your_key",
base_url="https://api.junji-tech.com",
)
message = client.messages.create(
model="deepseek-v4-flash",
max_tokens=256,
messages=[{"role": "user", "content": "用一句话解释什么是张量并行。"}],
)
print(message.content[0].text)
HTTP · Anthropic Messages
POST /v1/messages HTTP/1.1
Host: api.junji-tech.com
X-API-Key: jsk_live_your_key
Anthropic-Version: 2023-06-01
Content-Type: application/json
{
"model": "deepseek-v4-flash",
"max_tokens": 256,
"messages": [{"role": "user", "content": "用一句话解释什么是张量并行。"}]
}