API Keys

Python · 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": "Explain tensor parallelism in one sentence."}],
)
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": "Explain tensor parallelism in one sentence."}]
}

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="Explain tensor parallelism in one sentence.",
)
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": "Explain tensor parallelism in one sentence."
}

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": "Explain tensor parallelism in one sentence."}],
)
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": "Explain tensor parallelism in one sentence."}]
}

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