airtrain 0.1.1

A platform for building and deploying AI agents with structured skills

Airtrain

A powerful platform for building and deploying AI agents with structured skills and capabilities.

Features

• Structured Skills: Build modular AI skills with defined input/output schemas
• OpenAI Integration: Built-in support for OpenAI's GPT models with structured outputs
• Credential Management: Secure handling of API keys and credentials
• Type Safety: Full type hints and Pydantic model support
• Async Support: Both synchronous and asynchronous API implementations

Installation

pip install airtrain

Quick Start

Creating a Structured OpenAI Skill

from airtrain.core.skills import Skill
from airtrain.core.schemas import InputSchema, OutputSchema
from pydantic import BaseModel
from typing import List

# Define your response model
class PersonInfo(BaseModel):
    name: str
    age: int
    occupation: str
    skills: List[str]

# Create a skill
class OpenAIParserSkill(Skill):
    def process(self, input_data):
        # Implementation
        return parsed_response

# Use the skill
skill = OpenAIParserSkill()
result = skill.process(input_data)

Managing Credentials

from airtrain.core.credentials import OpenAICredentials
from pathlib import Path

# Load credentials
creds = OpenAICredentials(
    api_key="your-api-key",
    organization_id="optional-org-id"
)

# Save to environment
creds.load_to_env()

Documentation

For detailed documentation, visit our documentation site.

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

License

This project is licensed under the MIT License - see the LICENSE file for details.