Python 示例

Panda World 兼容官方 OpenAI Python SDK。安装后只需更改 base_url 即可使用。

安装

cURL

pip install openai

基本聊天补全

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.pandaworld.space/v1",
    api_key="sk-your-key-here"
)

response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[
        {"role": "system", "content": "You are a helpful assistant."},
        {"role": "user", "content": "Explain quantum computing in 3 sentences."}
    ],
    temperature=0.7,
    max_tokens=200
)

print(response.choices[0].message.content)

流式响应

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.pandaworld.space/v1",
    api_key="sk-your-key-here"
)

stream = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=[{"role": "user", "content": "Write a short poem."}],
    stream=True
)

for chunk in stream:
    if chunk.choices[0].delta.content:
        print(chunk.choices[0].delta.content, end="")

环境变量

将 API 密钥设置为环境变量以提高安全性：

cURL

export PANDA_API_KEY="sk-your-key-here"

Python

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.pandaworld.space/v1",
    api_key=os.environ["PANDA_API_KEY"]
)

错误处理

Python

from openai import OpenAI
from openai import APIError, RateLimitError, AuthenticationError

client = OpenAI(
    base_url="https://api.pandaworld.space/v1",
    api_key="sk-your-key-here"
)

try:
    response = client.chat.completions.create(
        model="deepseek-v4-flash",
        messages=[{"role": "user", "content": "Hello!"}]
    )
except AuthenticationError:
    print("Invalid API key")
except RateLimitError:
    print("Rate limit exceeded — slowing down")
except APIError as e:
    print(f"API error: {e}")

多轮对话

Python

from openai import OpenAI

client = OpenAI(
    base_url="https://api.pandaworld.space/v1",
    api_key="sk-your-key-here"
)

messages = [
    {"role": "system", "content": "You speak like a pirate."},
    {"role": "user", "content": "What's the weather like?"},
]

# First turn
response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=messages
)
messages.append(response.choices[0].message)
messages.append({"role": "user", "content": "Can you recommend a good ship?"})

# Second turn (conversation history included)
response = client.chat.completions.create(
    model="deepseek-v4-flash",
    messages=messages
)
print(response.choices[0].message.content)