更新日: 2026-06-06
Install Dependencies
pip install openai requests
Basic Chat
from openai import OpenAI
client = OpenAI(
api_key="sk-xxx",
base_url="https://api.crazyrouter.com/v1"
)
response = client.chat.completions.create(
model="gpt-5.5",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain artificial intelligence in one sentence"}
]
)
print(response.choices[0].message.content)
import requests
response = requests.post(
"https://api.crazyrouter.com/v1/chat/completions",
headers={
"Authorization": "Bearer sk-xxx",
"Content-Type": "application/json"
},
json={
"model": "gpt-5.5",
"messages": [
{"role": "user", "content": "Explain artificial intelligence in one sentence"}
]
}
)
data = response.json()
print(data["choices"][0]["message"]["content"])
Multi-turn Conversation
Maintain amessages list to implement multi-turn dialogue:
from openai import OpenAI
client = OpenAI(api_key="sk-xxx", base_url="https://api.crazyrouter.com/v1")
messages = [
{"role": "system", "content": "You are a Python programming assistant."}
]
def chat(user_input):
messages.append({"role": "user", "content": user_input})
response = client.chat.completions.create(
model="gpt-5.5",
messages=messages
)
reply = response.choices[0].message.content
messages.append({"role": "assistant", "content": reply})
return reply
# Multi-turn dialogue
print(chat("How do I read a CSV file?"))
print(chat("What if the file is very large?"))
print(chat("Can I use pandas for this?"))
Streaming Output
from openai import OpenAI
client = OpenAI(api_key="sk-xxx", base_url="https://api.crazyrouter.com/v1")
stream = client.chat.completions.create(
model="gpt-5.5",
messages=[{"role": "user", "content": "Write a poem about programming"}],
stream=True
)
for chunk in stream:
if chunk.choices[0].delta.content:
print(chunk.choices[0].delta.content, end="", flush=True)
print()
Streaming with requests
import requests
import json
response = requests.post(
"https://api.crazyrouter.com/v1/chat/completions",
headers={
"Authorization": "Bearer sk-xxx",
"Content-Type": "application/json"
},
json={
"model": "gpt-5.5",
"messages": [{"role": "user", "content": "Hello"}],
"stream": True
},
stream=True
)
for line in response.iter_lines():
if line:
line = line.decode("utf-8")
if line.startswith("data: ") and line != "data: [DONE]":
data = json.loads(line[6:])
content = data["choices"][0]["delta"].get("content", "")
print(content, end="", flush=True)
print()
All examples default to
gpt-5.5, which was verified successfully in Crazyrouter production on March 23, 2026. If you need to swap models, prefer other verified options such as claude-opus-4-8 or gemini-3.1-pro.