Documentation Index
Fetch the complete documentation index at: /llms.txt
Use this file to discover all available pages before exploring further.
Masukkan Flatkey sebagai base URL untuk OpenAI Python atau Node.js SDK untuk mengakses 300+ model dengan harga hingga 50% lebih murah — tanpa perlu menulis ulang kode.
base_url ke https://router.flatkey.ai/v1 dan gunakan API key Flatkey Anda. Semua fitur SDK lainnya — streaming, function calling, async client, logika retry — tetap berfungsi persis seperti sebelumnya.
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())