Toolhouse
Monthly visits
4.8K
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Rating
5.0/5
Core features
- ✦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
Use cases
- →Deploying AI agents as APIs
- →Building AI applications with pre-built infrastructure components
- →Automating tasks with function calling
- →Creating and sharing AI agents
How to use
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.
FAQ
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.
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