ToolLoop: Open-Source Framework for Claude-Style Tools with Any LLM

ToolLoop is an open-source Python framework that implements Claude Code-style functionality while remaining provider-agnostic. The project was created specifically to avoid vendor lock-in while maintaining similar tool capabilities.

Key Features

The framework includes 11 tools covering:

• File operations
• Code search
• Shell access
• Sub-agents

The entire codebase is approximately 2,700 lines. ToolLoop connects to any LLM through LiteLLM, supporting:

• Any model on AWS Bedrock (DeepSeek, Llama, Mistral)
• Any API provider (OpenAI, Moonshot)
• Local endpoints

Model Switching Capability

A key feature is the ability to switch models mid-conversation while maintaining shared context between interactions. This allows developers to use different models for different tasks without losing the conversation history.

SDK Usage Example

Here's the code snippet from the source showing basic usage:

from sdk import query, ToolLoopOptions

async for event in query(
    prompt="Find all TODO comments, fix them, run the tests",
    options=ToolLoopOptions(
        model="bedrock/converse/deepseek.v3.2",
        allowed_tools=["Read", "Edit", "Grep", "Glob", "Bash"],
    ),
):
    print(event)

The example demonstrates how to swap the deepseek.v3.2 model for any other supported model while maintaining the same tools and prompt structure.

Practical Application

This type of framework is particularly useful for developers who want to build AI agents with specific tool capabilities but need flexibility in model selection. The open-source nature allows for customization and avoids dependency on a single provider's ecosystem.

The project is available on GitHub at github.com/zhiheng-huang/toolloop.