OpenAI

Overview

OpenAI provides the GPT series of large language models, including GPT-4o and the reasoning-focused o1/o3 families. Floopy proxies requests to OpenAI’s Chat Completions API natively with no format translation required.

Supported Models

Model	Context Window	Notes
`o3-pro`	200K	Reasoning model, supports `reasoning_effort` header
`o3`	200K	Reasoning model, supports `reasoning_effort` header
`o3-mini`	200K	Reasoning model, supports `reasoning_effort` header
`o1-pro`	200K	Reasoning model, supports `reasoning_effort` header
`o1`	200K	Reasoning model, supports `reasoning_effort` header
`o1-mini`	128K	Reasoning model, supports `reasoning_effort` header
`gpt-4.5-preview`	128K	Latest preview model
`gpt-4o`	128K	Flagship multimodal model
`gpt-4o-mini`	128K	Fast and affordable
`gpt-4-turbo`	128K	Previous generation turbo
`gpt-4`	8K	Original GPT-4
`gpt-3.5-turbo`	16K	Legacy, cost-effective

Setup

Go to Settings > Providers in the dashboard.
Click Add provider and select OpenAI.
Paste your OpenAI API key and click Save.

Usage

app.ts

// pnpm add floopy-sdk
import { Floopy } from "floopy-sdk";

const floopy = new Floopy({
  apiKey: process.env.FLOOPY_API_KEY!,
});

const response = await floopy.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello from Floopy!" }],
});

console.log(response.choices[0].message.content);

# pip install floopy-sdk
from floopy import Floopy

floopy = Floopy(
    api_key=os.environ["FLOOPY_API_KEY"],
)

response = floopy.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello from Floopy!"}],
)

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

// go get github.com/floopy-ai/floopy-go
package main

import (
    "context"
    "fmt"

    "github.com/floopy-ai/floopy-go"
)

func main() {
    client := floopy.NewClient(floopy.WithEnv())

    res, _ := client.Chat.Completions.Create(context.Background(), &floopy.ChatRequest{
        Model:    "gpt-4o",
        Messages: []floopy.Message{{Role: "user", Content: "Hello from Floopy!"}},
    })

    fmt.Println(res.Choices[0].Message.Content)
}

// cargo add floopy
use floopy::Floopy;

#[tokio::main]
async fn main() -> anyhow::Result<()> {
    let floopy = Floopy::from_env()?;

    let response = floopy
        .chat()
        .completions()
        .create(floopy::ChatRequest {
            model: "gpt-4o".into(),
            messages: vec![floopy::Message::user("Hello from Floopy!")],
            ..Default::default()
        })
        .await?;

    println!("{}", response.choices[0].message.content);
    Ok(())
}

// npm i openai
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://api.floopy.ai/v1",
  apiKey: process.env.FLOOPY_API_KEY,
});

const response = await client.chat.completions.create({
  model: "gpt-4o",
  messages: [{ role: "user", content: "Hello from Floopy!" }],
});

console.log(response.choices[0].message.content);

# pip install openai
from openai import OpenAI

client = OpenAI(
    base_url="https://api.floopy.ai/v1",
    api_key=os.environ["FLOOPY_API_KEY"],
)

response = client.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello from Floopy!"}],
)

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

curl https://api.floopy.ai/v1/chat/completions \
  -H "Authorization: Bearer $FLOOPY_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-4o",
    "messages": [{"role": "user", "content": "Hello from Floopy!"}]
  }'

Provider-Specific Features

Reasoning effort — Set the x-floopy-reasoning-effort header to low, medium, or high when using o1/o3 models to control how much reasoning the model performs.
Fine-tuned models — Use the ft: prefix in the model name (e.g. ft:gpt-4o-mini:my-org:my-model:abc123) to route to your fine-tuned models.

Fallback

Route to Anthropic if OpenAI is unavailable by setting the fallback header:

curl https://api.floopy.ai/v1/chat/completions \
  -H "Authorization: Bearer $FLOOPY_API_KEY" \
  -H "x-floopy-fallback-provider: anthropic" \
  -H "x-floopy-fallback-model: claude-sonnet-4-6" \
  -H "Content-Type: application/json" \
  -d '{"model": "gpt-4o", "messages": [{"role": "user", "content": "Hello"}]}'