Skip to main content

AI Agent Framework for building intelligent agents with multiple LLM providers

Project description

Demiurg

A flexible AI agent framework for building intelligent agents with support for multiple LLM providers.

Features

  • 🚀 Simple, minimal API for quick agent creation
  • 🔌 Support for multiple LLM providers (OpenAI, Anthropic, Google, etc.)
  • 📬 Built-in messaging system with conversation history
  • 📁 File handling capabilities (images, audio, text)
  • 🔧 Extensible tool system with Composio integration
  • 🏗️ Production-ready with built-in queue management
  • 🐳 Designed for both cloud and local container deployment

Installation

pip install demiurg

Quick Start

from demiurg import Agent

# Create an agent with default configuration
agent = Agent()

# Or customize your agent
agent = Agent(
    name="My Custom Agent",
    model="gpt-4",
    temperature=0.7,
    provider="openai"
)

Basic Usage

Sending Messages

from demiurg import send_text, send_file

# Send a text message
await send_text(conversation_id, "Hello from my agent!")

# Send a file
await send_file(conversation_id, "/path/to/file.png", caption="Check this out!")

Getting Conversation History

from demiurg import get_conversation_history

# Get formatted conversation history
messages = await get_conversation_history(
    conversation_id,
    limit=50,
    provider="openai"  # Format for specific LLM provider
)

Custom Agent Implementation

from demiurg import Agent

class MyAgent(Agent):
    def __init__(self):
        super().__init__(
            name="Helpful Assistant",
            model="gpt-4",
            system_prompt="You are a helpful AI assistant."
        )
    
    async def process_message(self, message, provider="openai"):
        # Add custom logic here
        response = await super().process_message(message, provider)
        return response

agent = MyAgent()

Environment Variables

The framework uses environment variables for configuration:

  • DEMIURG_BACKEND_URL: Backend API URL (default: http://backend:3000)
  • DEMIURG_AGENT_TOKEN: Authentication token
  • DEMIURG_AGENT_ID: Unique agent identifier
  • OPENAI_API_KEY: OpenAI API key (for OpenAI provider)
  • COMPOSIO_API_KEY: Composio API key (for tool integration)

Provider Support

Currently supported:

  • ✅ OpenAI (GPT-3.5, GPT-4, etc.)

Coming soon:

  • 🚧 Anthropic (Claude)
  • 🚧 Google (Gemini)
  • 🚧 Cohere
  • 🚧 Local models

Development

For development access and contribution guidelines, please contact support@demiurg.ai.

License

Copyright © 2024 Demiurg AI. All rights reserved.

This is proprietary software. See LICENSE file for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

demiurg-0.1.13.tar.gz (27.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

demiurg-0.1.13-py3-none-any.whl (32.8 kB view details)

Uploaded Python 3

File details

Details for the file demiurg-0.1.13.tar.gz.

File metadata

  • Download URL: demiurg-0.1.13.tar.gz
  • Upload date:
  • Size: 27.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for demiurg-0.1.13.tar.gz
Algorithm Hash digest
SHA256 26481e0767c599838ce9df4a349539ae4d3fd63f901276d17847b30b6a87a936
MD5 1226a6e6dc25a70c7181855638180980
BLAKE2b-256 5fde19082a5a8f0b8d627d60b1ffe867c455059bd4828972a74157afedb1177e

See more details on using hashes here.

File details

Details for the file demiurg-0.1.13-py3-none-any.whl.

File metadata

  • Download URL: demiurg-0.1.13-py3-none-any.whl
  • Upload date:
  • Size: 32.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.11.2

File hashes

Hashes for demiurg-0.1.13-py3-none-any.whl
Algorithm Hash digest
SHA256 9f64b2231d471d7f5884165f1c8cf37bdee17f791ee638855e7640d2feef5de5
MD5 cd77b23e9e7875c7217352024b727bfa
BLAKE2b-256 53b2b54d62f1b121faeed310ba8ca4d31f1720db7df6d149b5e4489220640390

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page