ASI:One Fast

Ultra-low latency model for real-time applications and instant agent discovery.

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Overview

ASI:One Fast is optimized for applications requiring ultra-low latency responses. This model excels in real-time scenarios such as live trading bots, voice assistants, gaming AI, and instant customer support where every millisecond counts.

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Performance Specifications

Metric	ASI:One Fast
MMLU Benchmark	87%
Context Window	24K tokens
Typical Latency	~180ms / 1K tokens
Ideal For	Ultra-low latency, real-time applications, instant agent discovery

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Key Features

⚡ Ultra-Fast Response

Optimized for sub-200ms response times, perfect for real-time applications and instant interactions.

🎯 Real-Time Optimized

Specialized for live scenarios: trading, gaming, voice interactions, and instant decision-making.

🔍 Instant Discovery

Lightning-fast agent discovery and tool selection for immediate response scenarios.

⚖️ Balanced Performance

Maintains high accuracy while prioritizing speed, achieving 87% MMLU benchmark performance.

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Typical Use Cases

Domain	How ASI:One Fast Excels
Live Trading Bots	Instant market analysis and trade execution decisions
Voice Assistants	Real-time speech processing and immediate response generation
Gaming AI	Fast NPC responses and dynamic gameplay adaptation
Customer Support	Instant ticket routing and immediate automated responses
IoT Applications	Real-time device control and sensor data processing
High-Frequency Tasks	Rapid data classification and instant decision-making

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API Usage Example

from openai import OpenAI

client = OpenAI(
    api_key="YOUR_ASI_ONE_API_KEY",
    base_url="https://api.asi1.ai/v1"
)

response = client.chat.completions.create(
    model="asi1-fast",
    messages=[
        {"role": "user", "content": "Analyze current BTC price trend and suggest action"}
    ],
    temperature=0.3,  # Lower temperature for more consistent fast responses
    max_tokens=500
)

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

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Performance Optimizations

Feature	Detail
Streamlined Architecture	Reduced model complexity for faster inference without sacrificing quality
Optimized Tokenization	Faster text processing and generation for real-time applications
Efficient Caching	Smart context caching for repeated patterns and common queries

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Related Models

• ASI:One Mini - Balanced efficiency for everyday workflows
• ASI:One Extended - Enhanced reasoning for complex analysis
• ASI:One Fast Agentic - Ultra-fast agent orchestration variant

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Ready to achieve ultra-low latency? Check out our Quick Start guide or explore OpenAI compatibility for seamless integration.