metorial 1.0.0rc2

Python SDK for Metorial - AI-powered tool calling and session management

metorial

The main Python client for Metorial - The open source integration platform for agentic AI. This is the primary package that provides the core client and session management functionality.

Installation

pip install metorial
# or
uv add metorial
# or
poetry add metorial

Features

• 🔧 Multi-Provider Support: Use the same tools across different AI providers
• 🚀 Easy Integration: Simple async/await interface
• 📡 Session Management: Automatic session lifecycle handling
• 🛠️ Tool Discovery: Automatic tool detection and formatting
• 🔄 Format Conversion: Provider-specific tool format conversion

Supported Providers

• ✅ OpenAI (GPT-4, GPT-3.5)
• ✅ Anthropic (Claude)
• ✅ Google (Gemini)
• ✅ Mistral AI
• ✅ DeepSeek
• ✅ Together AI
• ✅ XAI (Grok)

Usage

Basic Usage

import asyncio
from metorial import Metorial

async def main():
    # Initialize Metorial client
    metorial = Metorial(api_key="your-metorial-api-key")
    
    # Create session with your server deployments
    async with metorial.session(["your-server-deployment-id"]) as session:
        # Access tool manager
        tool_manager = session.tool_manager
        
        # Use with provider-specific packages
        # See provider packages for specific integrations

asyncio.run(main())

With Provider Packages

Use metorial with provider-specific packages:

import asyncio
from metorial import Metorial
from metorial_openai import MetorialOpenAISession
from openai import OpenAI

async def main():
    # Initialize clients
    metorial = Metorial(api_key="your-metorial-api-key")
    openai_client = OpenAI(api_key="your-openai-api-key")
    
    # Create session
    async with metorial.session(["deployment-id"]) as session:
        # Use with OpenAI
        openai_session = MetorialOpenAISession(session.tool_manager)
        
        response = openai_client.chat.completions.create(
            model="gpt-4",
            messages=[{"role": "user", "content": "Help me"}],
            tools=openai_session.tools
        )
        
        # Handle tool calls
        if response.choices[0].message.tool_calls:
            tool_responses = await openai_session.call_tools(
                response.choices[0].message.tool_calls
            )

asyncio.run(main())

API Reference

Metorial

Main client class for Metorial.

client = Metorial(api_key="your-api-key")

Parameters:

• api_key: Your Metorial API key

Methods:

• async session(deployment_ids): Create a session with specified deployments

Session Context Manager

async with metorial.session(["deployment-id"]) as session:
    # session.tool_manager provides access to tools

Properties:

• tool_manager: Manager for executing tools

Provider Integration

This package works with provider-specific packages:

• metorial-openai: OpenAI integration
• metorial-anthropic: Anthropic (Claude) integration
• metorial-google: Google (Gemini) integration
• metorial-mistral: Mistral AI integration
• metorial-xai: XAI (Grok) integration
• metorial-deepseek: DeepSeek integration
• metorial-togetherai: Together AI integration

Error Handling

from metorial import MetorialAPIError

try:
    async with metorial.session(["deployment-id"]) as session:
        # Your code here
        pass
except MetorialAPIError as e:
    print(f"API Error: {e.message} (Status: {e.status})")
except Exception as e:
    print(f"Unexpected error: {e}")

Configuration

Environment Variables

You can also configure the client using environment variables:

export METORIAL_API_KEY="your-api-key"

# Will use METORIAL_API_KEY if no api_key provided
metorial = Metorial()

Dependencies

• metorial-core>=1.0.0
• metorial-mcp-session>=1.0.0
• typing-extensions>=4.0.0

License

MIT License - see LICENSE file for details.