Toolhouse provides a universal SDK that allows developers to integrate and deploy tools for large language models (LLMs) with just three lines of code, significantly reducing development time. The platform addresses the repetitive coding and integration challenges faced by developers by offering a library of prebuilt tools that optimize performance and minimize latency.
Funding
Funding not disclosed
Founders
Product
Problem
Developers face repetitive coding and integration challenges when incorporating tools for large language models (LLMs), leading to increased development time and complexity. Integrating diverse tools requires managing boilerplate code and optimizing performance across different LLM frameworks.
Solution
Toolhouse offers a universal SDK and cloud infrastructure that simplifies the integration and deployment of tools for LLMs, reducing development time to just three lines of code. The platform provides a comprehensive library of pre-built, production-ready tools, including semantic search, RAG, email sending, and sandboxed code execution. Toolhouse optimizes tool responses, caches data, and manages prompts across various LLMs, ensuring low latency and efficient token usage. The platform's Tool Store allows developers to install and manage tools with a single click, eliminating the need to build and maintain individual integrations.
Target Audience
Toolhouse targets AI application developers, machine learning engineers, and Web3 developers who need to equip LLMs with actions and knowledge quickly and efficiently.
Features
- Universal SDK enabling tool integration with just three lines of code, compatible with major LLMs and frameworks
- Low-latency cloud infrastructure optimized for performance, security, and observability
- Tool Store offering one-click installation of pre-built tools like semantic search, RAG, and code execution
- Automated prompt optimization and caching to reduce token usage and improve response times
- Built-in evaluation system to continuously assess and improve tool execution
- Flexible SDK supporting plain responses or streaming in any environment
- Secure, low-latency storage for retrieving and storing data
- Observability tools for understanding LLM inputs and tool responses