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Sup AI is a multi-model AI platform that delivers superior results through intelligent model orchestration and consensus-driven responses. Our API is fully compatible with OpenAI, making it easy to integrate into your existing applications.

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Why Sup AI?

Multi-Model Consensus

Get better answers by combining outputs from multiple leading AI models including Claude, GPT-5, Gemini, and more.

OpenAI Compatible

Drop-in replacement for OpenAI’s API. Use your existing code with minimal changes.

Intelligent Modes

Automatically select the optimal mode for your task — from fast single-model responses to deep multi-model analysis.

Thinking Transparency

Access model reasoning and confidence scores to understand how answers are generated.

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Platform Features

Sup AI handles the hard parts of building production AI applications so you don’t have to.
Sup AI automatically detects user location from IP address or accepts explicit coordinates. This enables:
  • Localized responses — Models understand the user’s timezone, region, and local context
  • Internationalization — Responses adapt to regional preferences, units, and cultural norms
  • Time-aware answers — Accurate responses to “what time is it?” or “what’s the weather?”
Pass environment.location with { "ip_address": "current" } for automatic detection, or provide explicit coordinates for precise control.
Never hit context window limits again. Sup AI intelligently manages conversation history:
  • Automatic compaction — Long conversations are summarized to fit within model limits
  • Smart prioritization — Recent and relevant context is preserved while older messages are condensed
  • Seamless experience — No errors, no truncation — just continuous conversation
This means you can build applications with unlimited conversation length without worrying about token limits.
Each mode automatically calibrates thinking effort based on task complexity:
ModeThinking BudgetUse Case
fast256 tokensQuick, obvious answers
thinking2,048 tokensStandard development work
deep-thinking3,072 tokensComplex problem decomposition
pro4,096 tokensMaximum rigor and verification
Models with native thinking capabilities (Claude, GPT-5, Gemini) use these budgets to reason through problems before responding. The auto mode dynamically adjusts thinking effort based on detected complexity.
AI models sometimes generate malformed tool calls with invalid JSON or incorrect parameters. Sup AI automatically repairs these:
  • JSON repair — Fixes syntax errors, unclosed brackets, and encoding issues
  • Parameter validation — Ensures required fields are present and correctly typed
  • Graceful recovery — Instead of failing, broken tool calls are fixed and retried
This dramatically improves reliability for agentic workflows where tool calling is critical.
Transient failures happen — rate limits, network issues, model overload. Sup AI handles them automatically:
  • Intelligent backoff — Exponential retry with jitter for rate limits
  • Model fallback — If a model fails, backup models are tried automatically
  • Seamless recovery — Retries are invisible to your application
You get reliable responses without implementing complex retry logic yourself.

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Quick Start

Get started with Sup AI in under a minute:
1

Get your API key

Sign up at sup.ai/api and create an API key from the dashboard.
2

Make your first request

Use any OpenAI-compatible client with your Sup AI API key:
from openai import OpenAI

client = OpenAI(
  base_url="https://api.sup.ai/v1/openai",
  api_key="YOUR_API_KEY"
)

response = client.chat.completions.create(
  model="auto",
  messages=[{"role": "user", "content": "Hello!"}]
)

print(response.choices[0].message.content)
3

Explore modes

Try different modes like thinking or deep-thinking for more complex tasks.

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Available Modes

ModeModelsDescription
auto1+Intelligently selects the optimal mode for your task
fast1Instant responses for trivial tasks
thinking3Default for most development work
deep-thinking6Advanced problem-solving for complex challenges
pro9Maximum rigor for high-stakes, mission-critical work

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Next Steps

Chat Completions API

Complete reference for the chat completions endpoint, including all request parameters and response types.

API Reference

Full OpenAPI specification with interactive examples.