Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Thay thế base URL bằng Flatkey trong OpenAI Python hoặc Node.js SDK để truy cập hơn 300 mô hình với mức giảm tới 50% — không cần viết lại code.
base_url thành https://router.flatkey.ai/v1 và sử dụng API key của Flatkey. Mọi tính năng khác của SDK — streaming, function calling, async client, retry logic — đều hoạt động như trước.
pip install openai
npm install openai
yarn add openai
pnpm add openai
import os
from openai import OpenAI
client = OpenAI(
api_key=os.environ["FLATKEY_API_KEY"],
base_url="https://router.flatkey.ai/v1",
)
import OpenAI from "openai";
const client = new OpenAI({
apiKey: process.env.FLATKEY_API_KEY,
baseURL: "https://router.flatkey.ai/v1",
});
response = client.chat.completions.create(
model="gpt-4o",
messages=[
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "Explain quantum entanglement simply."},
],
max_tokens=512,
temperature=0.7,
)
print(response.choices[0].message.content)
const response = await client.chat.completions.create({
model: "gpt-4o",
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "Explain quantum entanglement simply." },
],
max_tokens: 512,
temperature: 0.7,
});
console.log(response.choices[0].message.content);
stream = client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Write a haiku about the ocean."}],
stream=True,
)
for chunk in stream:
delta = chunk.choices[0].delta.content
if delta:
print(delta, end="", flush=True)
print() # newline at end
const stream = await client.chat.completions.create({
model: "gpt-4o-mini",
messages: [{ role: "user", content: "Write a haiku about the ocean." }],
stream: true,
});
for await (const chunk of stream) {
const delta = chunk.choices[0]?.delta?.content || "";
process.stdout.write(delta);
}
console.log();
tools = [
{
"type": "function",
"function": {
"name": "get_weather",
"description": "Get current weather for a location",
"parameters": {
"type": "object",
"properties": {
"location": {"type": "string", "description": "City name"},
},
"required": ["location"],
},
},
}
]
response = client.chat.completions.create(
model="gpt-4o",
messages=[{"role": "user", "content": "What's the weather in Tokyo?"}],
tools=tools,
tool_choice="auto",
)
print(response.choices[0].message.tool_calls)
model:
# Claude via Flatkey
response = client.chat.completions.create(
model="claude-sonnet-4-5",
messages=[{"role": "user", "content": "Review this code for bugs."}],
)
# DeepSeek via Flatkey
response = client.chat.completions.create(
model="deepseek-v3",
messages=[{"role": "user", "content": "Solve this math problem step by step."}],
)
# Gemini via Flatkey
response = client.chat.completions.create(
model="gemini-2.5-flash",
messages=[{"role": "user", "content": "Summarize this article."}],
)
import asyncio
from openai import AsyncOpenAI
client = AsyncOpenAI(
api_key=os.environ["FLATKEY_API_KEY"],
base_url="https://router.flatkey.ai/v1",
)
async def main():
response = await client.chat.completions.create(
model="gpt-4o-mini",
messages=[{"role": "user", "content": "Hello!"}],
)
print(response.choices[0].message.content)
asyncio.run(main())