tiny-agent-os 0.72.18

[LEGACY - Security Updates Only] A streamlined framework for building powerful LLM-powered agents that can solve complex tasks through tool execution, orchestration, and dynamic capability creation.

tinyAgent

Turn any Python function into an AI‑powered agent in just a few lines:

from tinyagent import tool, ReactAgent

@tool
def multiply(a: float, b: float) -> float:
    """Multiply two numbers together."""
    return a * b

@tool
def divide(a: float, b: float) -> float:
    """Divide the first number by the second number."""
    return a / b

agent = ReactAgent(tools=[multiply, divide])
result = agent.run("What is 12 times 5, then divided by 3?")
# → 20

That's it! The agent automatically:

• Understands it needs to perform multiple steps
• Calls multiply(12, 5) → gets 60
• Takes that result and calls divide(60, 3) → gets 20
• Returns the final answer

Why tinyAgent?

• Zero boilerplate – Just decorate functions with @tool
• Automatic reasoning – Agent figures out which tools to use and in what order
• Built-in LLM – Works out of the box with OpenRouter
• Type safe – Full type hints and validation
• Production ready – Error handling, retries, and observability

Installation

pip install tiny_agent_os

# With observability (recommended)
pip install "tiny_agent_os[traceboard]"

# With all features
pip install "tiny_agent_os[rag,traceboard]"

Quick Setup

1. Get configuration files:

# Download config.yml
wget https://raw.githubusercontent.com/alchemiststudiosDOTai/tinyAgent/0.72/config.yml

# Download .env template
wget https://raw.githubusercontent.com/alchemiststudiosDOTai/tinyAgent/0.72/.envexample -O .env

2. Add your API key to .env:

OPENROUTER_API_KEY=your_key_here

Get your key at openrouter.ai

More Examples

Multi-step reasoning

from tinyagent import tool, ReactAgent

@tool
def calculate_percentage(value: float, percentage: float) -> float:
    """Calculate what percentage of a value is."""
    return value * (percentage / 100)

@tool
def subtract(a: float, b: float) -> float:
    """Subtract b from a."""
    return a - b

agent = ReactAgent(tools=[calculate_percentage, subtract])
result = agent.run("If I have 15 apples and give away 40%, how many are left?")
print(result)  # → "You have 9 apples left."

Behind the scenes:

1. Agent calculates 40% of 15 → 6
2. Subtracts 6 from 15 → 9
3. Returns a natural language answer

Key Features

ReactAgent (Recommended)

• Multi-step reasoning - Breaks down complex problems automatically
• Clean API - Simple, ergonomic interface
• Error handling - Built-in retry logic and graceful failures
• Observability - Optional tracing to see what the agent is doing
• Customizable prompts - Pass custom system prompts via system_prompt parameter

Tools Philosophy

Every function can be a tool. Keep them:

• Atomic - Do one thing well
• Typed - Use type hints for parameters
• Documented - Docstrings help the LLM understand usage

Documentation

• Complete Examples
• Tool Creation Guide
• ReactAgent Pattern
• Observability
• RAG Support

Status

BETA - Actively developed and used in production. Breaking changes possible until v1.0.

Found a bug? Have a feature request? Open an issue!

License

Business Source License 1.1

• ✅ Free for individuals and small businesses (< $1M revenue)
• 📧 Enterprise license required for larger companies

Contact: [e-mail]

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Made by @tunahorse21 | alchemiststudios.ai