从其他 AI 平台迁移到 AI Router，仅需修改 2 行代码
AI Router Platform 完全兼容 OpenAI API 格式，迁移过程非常简单。只需修改 API Base URL 和 API Key，无需改动业务代码。
import openai
openai.api_key = "sk-openai-xxxxx"
# 默认使用 api.openai.com
response = openai.ChatCompletion.create(
model="gpt-4-turbo",
messages=[{"role": "user", "content": "Hello"}]
)import openai
openai.api_key = "sk-poeti-xxxxx" # ← 修改 1: 使用 AI Router Key
openai.api_base = "https://api.poeti.ai/v1" # ← 修改 2: 指向 AI Router
response = openai.ChatCompletion.create(
model="gpt-4-turbo", # 无需修改
messages=[{"role": "user", "content": "Hello"}] # 无需修改
)const { OpenAI } = require('openai');
const openai = new OpenAI({
apiKey: process.env.OPENAI_API_KEY
});
const response = await openai.chat.completions.create({
model: 'gpt-4-turbo',
messages: [{ role: 'user', content: 'Hello' }]
});const { OpenAI } = require('openai');
const openai = new OpenAI({
apiKey: process.env.AI_ROUTER_API_KEY, // ← 修改
baseURL: 'https://api.poeti.ai/v1' // ← 添加
});
const response = await openai.chat.completions.create({
model: 'gpt-4-turbo',
messages: [{ role: 'user', content: 'Hello' }]
});import anthropic
client = anthropic.Anthropic(
api_key="sk-ant-xxxxx"
)
message = client.messages.create(
model="claude-3-opus-20240229",
max_tokens=1024,
messages=[{"role": "user", "content": "Hello"}]
)import openai
openai.api_key = "sk-poeti-xxxxx"
openai.api_base = "https://api.poeti.ai/v1"
response = openai.ChatCompletion.create(
model="claude-3-opus", # ← 使用简化的模型名
messages=[{"role": "user", "content": "Hello"}],
max_tokens=1024
)AI Router 统一使用 OpenAI 兼容格式，简化了不同提供商的 API 差异。
# 迁移前使用 google-generativeai
# 迁移后统一使用 OpenAI SDK
import openai
openai.api_key = "sk-poeti-xxxxx"
openai.api_base = "https://api.poeti.ai/v1"
response = openai.ChatCompletion.create(
model="gemini-pro",
messages=[{"role": "user", "content": "Hello"}]
)# 迁移前需要配置 AWS credentials
# 迁移后无需 AWS 配置
import openai
openai.api_key = "sk-poeti-xxxxx"
openai.api_base = "https://api.poeti.ai/v1"
response = openai.ChatCompletion.create(
model="bedrock/claude-3-sonnet",
messages=[{"role": "user", "content": "Hello"}]
)# OpenAI 配置 (迁移前)
OPENAI_API_KEY=sk-openai-xxxxx
# AI Router 配置 (迁移后)
AI_ROUTER_API_KEY=sk-poeti-xxxxx
AI_ROUTER_BASE_URL=https://api.poeti.ai/v1import os
import openai
from dotenv import load_dotenv
load_dotenv()
openai.api_key = os.getenv('AI_ROUTER_API_KEY')
openai.api_base = os.getenv('AI_ROUTER_BASE_URL')
# 其余代码无需修改import openai
# 配置
openai.api_key = "sk-poeti-xxxxx"
openai.api_base = "https://api.poeti.ai/v1"
try:
# 发送测试请求
response = openai.ChatCompletion.create(
model="gpt-3.5-turbo",
messages=[
{"role": "user", "content": "Say 'Migration successful!'"}
]
)
print("✅ 迁移成功!")
print(f"Response: {response.choices[0].message.content}")
except Exception as e:
print(f"❌ 迁移失败: {e}")
print("请检查 API Key 和 Base URL 配置")✅ 迁移成功! Response: Migration successful!
如果迁移过程中遇到问题，可以随时回滚到原有配置。
迁移前备份原有的 API Key 和配置
将 api_base 和 api_key 改回原值
确认服务恢复正常
# 回滚到 OpenAI
openai.api_key = "sk-openai-xxxxx" # 原 OpenAI Key
openai.api_base = None # 或删除此行，使用默认值