avachain 0.0.3

A very light weight library to create and run agent with tools, with any LLM supported openai spec, Claude, Mistral.

Introduction to AvaChain

Welcome to AvaChain! This powerful framework enables you to build intelligent AI agents that can seamlessly interact with various tools and APIs. Whether you're building a simple chatbot or a complex AI assistant, AvaChain provides the building blocks you need.

Offical Documentation

What is AvaChain?

AvaChain is a Python framework that combines the power of Large Language Models (LLMs) with custom tools and APIs. It provides:

• Flexible Agent Architecture: Build AI agents that can use multiple tools and make decisions
• Tool Integration Framework: Easily create and integrate custom tools
• Multiple LLM Support: Work with OpenAI, Anthropic Claude, and Mistral AI models
• Streaming Responses: Real-time response streaming for better user experience
• Text-to-Speech Integration: Built-in support for various TTS providers
• Plugin System: Publish and share tools through the AvaChain store

Quick Start

Get started with AvaChain in minutes:

from avachain import AvaAgent, OpenaiLLM, BaseTool

# Initialize your LLM
llm = OpenaiLLM(api_key="your-api-key")

# Create an agent
agent = AvaAgent(
    sys_prompt="You are a helpful assistant",
    ava_llm=llm,
    logging=True
)

# Run the agent
response = agent.run("Hello! Can you help me?")

Key Features

Tool Creation

Build custom tools easily:

from avachain import BaseTool
from pydantic import BaseModel, Field

class MyToolInput(BaseModel):
    query: str = Field(description="Input query")

class MyTool(BaseTool):
    name = "my_tool"
    description = "A custom tool"
    args_schema = MyToolInput

    def _run(self, query: str):
        return f"Processed: {query}"

Real-time Streaming

Enable streaming responses for real-time interaction:

agent = AvaAgent(
    sys_prompt="Your prompt",
    ava_llm=llm,
    streaming=True
)

Use Cases

AvaChain is perfect for:

• AI Assistants: Build conversational agents that can perform tasks
• Tool Integration: Connect AI models with external services and APIs
• Task Automation: Create agents that can execute complex workflows
• Voice Applications: Build voice-enabled AI applications
• Plugin Development: Create and share reusable AI tools

Why AvaChain?

Flexible Architecture

AvaChain's modular design allows you to:

• Add custom tools easily
• Configure agents for specific use cases
• Scale from simple to complex applications

Developer Experience

We focus on making development smooth with:

• Clear API design
• Comprehensive documentation
• Easy-to-follow examples
• Built-in debugging tools

Production Ready

AvaChain is built for production use with:

• Robust error handling
• Streaming support for better UX
• Performance optimizations
• Extensive logging options

Getting Started

Ready to build with AvaChain? Check out our guides:

• Installation
• Creating Tools
• Contributing

We welcome contributions!