Skip to main content

A lightweight, dependency-free LLM agent framework with direct HTTP-based provider integration

Project description

nagents

A lightweight LLM agent framework with direct HTTP-based provider integration.

Features

  • Multi-Provider Support: OpenAI, Anthropic Claude, and Google Gemini APIs
  • Streaming Events: Real-time text chunks, tool calls, and usage statistics
  • Tool Execution: Register Python functions as tools with automatic schema generation
  • Session Management: SQLite-based conversation persistence
  • Batch Processing: Process multiple requests efficiently
  • Minimal Dependencies: Only aiohttp and aiosqlite required

Installation

pip install nagents

Quick Start

import asyncio
from nagents import Agent, Provider, ProviderType

async def main():
    # Create a provider
    provider = Provider(
        provider_type=ProviderType.OPENAI_COMPATIBLE,
        api_key="your-api-key",
        model="gpt-4o-mini",
    )

    # Create an agent
    agent = Agent(provider=provider)

    # Run a conversation
    async for event in agent.run("Hello, how are you?"):
        if hasattr(event, 'chunk'):
            print(event.chunk, end="")

    await agent.close()

asyncio.run(main())

Providers

nagents supports three provider types:

Provider Type Models
OpenAI ProviderType.OPENAI_COMPATIBLE gpt-4o, gpt-4o-mini, etc.
Anthropic ProviderType.ANTHROPIC claude-3-5-sonnet, claude-3-opus, etc.
Google ProviderType.GEMINI_NATIVE gemini-2.0-flash, gemini-1.5-pro, etc.

With Tools

def get_weather(city: str) -> str:
    """Get the current weather for a city."""
    return f"Weather in {city}: Sunny, 22°C"

agent = Agent(
    provider=provider,
    tools=[get_weather],
)

async for event in agent.run("What's the weather in Paris?"):
    ...

With Session Persistence

from pathlib import Path
from nagents import SessionManager

session_manager = SessionManager(Path("sessions.db"))

agent = Agent(
    provider=provider,
    session_manager=session_manager,
)

# Use a specific session ID for conversation continuity
async for event in agent.run("Remember my name is Alice", session_id="user-123"):
    ...

Documentation

License

MIT

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

nagents-0.1.0.tar.gz (44.8 kB view details)

Uploaded Source

Built Distribution

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

nagents-0.1.0-py3-none-any.whl (48.4 kB view details)

Uploaded Python 3

File details

Details for the file nagents-0.1.0.tar.gz.

File metadata

  • Download URL: nagents-0.1.0.tar.gz
  • Upload date:
  • Size: 44.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.2 CPython/3.12.3 Linux/6.14.0-37-generic

File hashes

Hashes for nagents-0.1.0.tar.gz
Algorithm Hash digest
SHA256 7a00921db7439d276b994be5907a6609b5624733cd22ecfed03ebf2285306502
MD5 74c74ac103c22271aba153117d0401e9
BLAKE2b-256 c1f27e17b71dd287016cd17c0155f11277c3d43f9df0ca43ec2252307fdb5549

See more details on using hashes here.

File details

Details for the file nagents-0.1.0-py3-none-any.whl.

File metadata

  • Download URL: nagents-0.1.0-py3-none-any.whl
  • Upload date:
  • Size: 48.4 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.2 CPython/3.12.3 Linux/6.14.0-37-generic

File hashes

Hashes for nagents-0.1.0-py3-none-any.whl
Algorithm Hash digest
SHA256 ec970d705cf021cb256820ee5d53f2c62dd4d7400e87c81de2ce6f975f8677cd
MD5 07577688d123cbee3629310bddd16d87
BLAKE2b-256 5694d39631ec3f90fe0ccdeb92b169f8b8d0b47aef6adb536075061aebe4448c

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