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Agent

Toolhouse

Cloud infrastructure to equip LLMs with actions and knowledge, simplifying AI agent deployment.

Source rating 5.0 (61) 5.6k views 5.6k/mo traffic 0 saves Unknown
LLM infrastructure AI Agents Function calling
More categories (8)
Backend as a Service Rag Evals Memory Edge functions Storage API Deployment Agent Studio
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Verdict

A quick read before you dig into the full page.

Best if
You are aI Developers and need: Deploying AI agents as APIs
Pick this when
Cloud infrastructure to equip LLMs with actions and knowledge, simplifying AI agent deployment

Overview

Toolhouse is a complete cloud infrastructure designed to equip Large Language Models (LLMs) with actions and knowledge. It simplifies function calling, allowing developers to deploy smarter AI agents with just a few lines of code. Toolhouse provides a Backend-as-a-Service with pre-loaded features like RAG, evals, memory, edge functions, and storage.

Toolhouse screenshot

Best for

Short scenarios where Toolhouse tends to shine.

  • Deploying AI agents as APIs

    Best for AI Developers

  • Building AI applications with pre-built infrastructure components

    Best for Software Engineers

  • Automating tasks with function calling

    Best for Data Scientists

  • Creating and sharing AI agents

    Best for Machine Learning Engineers

Example outputs 1

Sample generations and before/after results for Toolhouse.

Toolhouse screenshot
Toolhouse screenshot

Access & connections

Where you can use Toolhouse.

Platforms

CLI

Capabilities

What this tool accepts, produces, and is strongest at.

Highlights

  • Agentic Backend-as-a-Service
  • Built-in function calling and API integrations
  • Built-in RAG, evals, memory, edge functions, and storage
  • CLI for agent deployment
  • Agent Studio for building agents in written language

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FAQ 6

What is Toolhouse?
Toolhouse is a complete cloud infrastructure designed to equip Large Language Models (LLMs) with actions and knowledge. It simplifies function calling, allowing developers to deploy smarter AI agents with just a few lines of code. Toolhouse provides a Backend-as-a-Service with pre-loaded features like RAG, evals, memory, edge functions, and storage.
How to use Toolhouse?
Define agents and deploy them as APIs using the Toolhouse CLI. The platform provides built-in features and integrations, allowing you to focus on building rather than setting up infrastructure.
What languages does the Toolhouse SDK support?
Our SDK is available in Python and TypeScript. We integrate with LlamaIndex and Vercel, with more integrations coming soon.
What’s the pricing model?
We have a generous free tier to help you build and iterate with confidence. When you’re ready to scale, you to access all the built-in components of our cloud with a monthly subscription. We have startup programs and enterprise offerings too.
Who handles authentication?
Toolhouse can handle authentication for you and your users, from the authentication flow to token refresh and scope management. We isolate tokens from the LLM and even from our own agents. You can also bring your credentials or connect a third party tool provider.
How do I know you're production ready?
Tens of thousands of agents ran millions of times in Toolhouse. We automatically scale capacity. You can also bring Toolhouse on-prem or ask us for a dedicated private instance.
Toolhouse
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