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🚀 3-Minute Quick Start

GPU Compute & AI Models
Quick Deployment Guide

From registration to production in as fast as 3 minutes. Works with Python, curl, or OpenAI SDK — zero learning curve.

Three Ways to Integrate

Choose your preferred dev method — configure in under 3 minutes

📝
OpenAI SDK
Use the official OpenAI Python SDK — just change the base URL and API key to switch to FlowerWolf.
Python
💻
curl CLI
No SDK needed. One curl command to call any model. Great for quick tests, scripts, and shell automation.
Shell / CLI
🛠
REST API
Standard HTTPS REST API — works with Go, Java, Node.js, PHP and more.
Multi-language

Code Examples

Copy-paste to run, no business logic changes needed

Python / OpenAI SDK
from openai import OpenAI client = OpenAI( api_key="fw_xxxxxxxxxxxxxxxx", # Replace with your FlowerWolf API Key base_url="https://api.flowerwolf.net/v1" # Just change this line ) response = client.chat.completions.create( model="gpt-4o", # Also works with claude-3.5-sonnet / deepseek-v3 / qwen-2.5-72b messages=[{"role": "user", "content": "Random text? Answer in two sentences"}] ) print(response.choices[0].message.content)
curl / Shell
# Works with GPT-4o / Claude / Gemini / DeepSeek curl https://api.flowerwolf.net/v1/chat/completions \\
-H "Authorization: Bearer fw_xxxxxxxxxxxxxxxx" \\
-H "Content-Type: application/json" \\
-d '{"model":"gpt-4o","messages":[{"role":"user","content":"What day of the week is it?"}]}'
JavaScript / Node.js
import OpenAI from 'openai'; const client = new OpenAI({ apiKey: "fw_xxxxxxxxxxxxxxxx", baseURL: "https://api.flowerwolf.net/v1", }); const chat = await client.chat.completions.create({ model: "gpt-4o", messages: [{role: "user", content: "用两句话回答,What day of the week is it?"}], }); console.log(chat.choices[0].message.content);

Supported Models

One Key for all models — no switching required

GPT-4o
GPT-4o Mini
Claude 3.5 Sonnet
Claude 3 Haiku
Gemini 1.5 Pro
Gemini 1.5 Flash
DeepSeek V3
DeepSeek Chat
Qwen 2.5 72B
Qwen 2.5 7B
LLaMA 3.1 405B
Mistral Large 2
Stable Diffusion XL
Whisper Large V3

Use Cases

Recommended models and GPU config by use case

💻
AI App Development
Integrate fast with OpenAI SDK — just replace base URL in your existing code. Works with LangChain, LlamaIndex and all major frameworks.
📈
Data Processing Pipeline
Gemini 1.5 Flash is extremely low cost — perfect for batch document analysis, content moderation, data cleaning. GPU compute for parallel high-throughput processing.
🎨
AI Image / Video Generation
Stable Diffusion XL image generation accelerated by H100 / A100 80GB GPU clusters. FLUX.1 coming soon with fine-grained control.
💬
Customer Service / Chat
Claude 3.5 Sonnet 200K context for long memory, GPT-4o multimodal with image input. DeepSeek low price for high-concurrency.

FAQ FAQ

Which models are API-compatible?
FlowerWolf API follows OpenAI Chat Completions format — supports GPT-4o, Claude 3.5, Gemini 1.5, DeepSeek V3, Qwen, LLaMA, Mistral and all 14+ major models. Replace base URL, set model name.
Are there rate limits?
Different tiers have RPM and TPM limits. Startup: 60 RPM / 100K TPM. Enterprise can get higher limits. Contact us for unlimited.
Is data retained or used for training?
Absolutely not. FlowerWolf never retains, inspects, or uses your data for training. Deleted immediately after computation. DPAs available on request.
Can GPU compute and API models be used together?
Yes — FlowerWolf core advantage. Deploy your own models on our GPUs (vLLM / TensorRT-LLM) while calling FlowerWolf API models, all under one unified billing account.
Is streaming / WebSocket output supported?
Yes. OpenAI SDK stream=True works directly. FlowerWolf returns Server-Sent Events (SSE). For curl: add -N flag to disable buffering for real-time output.

Ready to Start?

Get your API key in 1 minute after signup and start calling immediately