Tool infrastructure platform that provides pre-built, optimized tools for AI agents with a universal SDK.
Pre-built tools for AI agents — gives your agents ready-made capabilities like web browsing, code execution, and data access.
Toolhouse is a tool infrastructure platform that provides pre-built, optimized tools for AI agents through a universal SDK. Instead of building and maintaining custom tool integrations for every capability an agent needs — web search, code execution, email sending, file operations — developers can access a curated library of production-ready tools through a simple API that works with any LLM provider.
The platform addresses a significant pain point in agent development: tool integration. Building reliable tools for AI agents requires handling authentication, rate limiting, error handling, retries, and edge cases for each integration. Toolhouse handles all of this infrastructure, letting developers focus on agent logic rather than plumbing. Tools are optimized for LLM function calling with well-structured schemas that help models use them correctly.
Toolhouse's SDK integrates with major LLM providers (OpenAI, Anthropic, Google) and agent frameworks (LangChain, CrewAI, Vercel AI SDK). The integration is lightweight — typically 3-5 lines of code to add tool capabilities to an existing agent. The SDK handles tool schema registration, function call parsing, execution, and result formatting automatically.
The tool library covers common agent capabilities including web search, web scraping, code execution, email sending, file management, database queries, and more. Each tool is maintained by Toolhouse, meaning developers don't need to handle API changes, rate limit updates, or service outages for individual tools.
Toolhouse also supports custom tool creation where developers can package their own tools using the Toolhouse infrastructure. Custom tools get the same benefits of managed execution, monitoring, and error handling as the built-in tools. This makes Toolhouse useful as both a tool marketplace and a tool hosting platform.
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Curated collection of production-ready tools for web search, scraping, code execution, email, file operations, and more.
Use Case:
Adding web search, code execution, and email capabilities to an AI agent in minutes.
Single SDK that works with OpenAI, Anthropic, Google, LangChain, CrewAI, and other frameworks with minimal integration code.
Use Case:
Adding Toolhouse tools to an existing OpenAI function-calling agent with three lines of code.
Toolhouse handles authentication, rate limiting, retries, and error handling for all tools.
Use Case:
Running web scraping without worrying about proxy management or rate limits.
Tool definitions optimized for LLM function calling with clear parameter descriptions and constraints.
Use Case:
Reducing tool-use errors compared to hand-written function calling schemas.
Package and deploy custom tools using Toolhouse infrastructure with managed execution and monitoring.
Use Case:
Deploying a proprietary API integration as a tool that any agent in the organization can use.
Track tool usage, success rates, latency, and costs across all agent tool calls.
Use Case:
Identifying which tools are most used and optimizing the most expensive tool calls.
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View Pricing Options →Rapidly adding tool capabilities to AI agents without building integrations
Standardizing tool access across multiple agents and frameworks
Reducing maintenance burden for agent tool infrastructure
Improving function calling accuracy with optimized tool schemas
We believe in transparent reviews. Here's what Toolhouse doesn't handle well:
Toolhouse provides pre-built, production-ready tools with managed infrastructure. Instead of building authentication, error handling, and rate limiting for each tool, you get all of this out of the box with optimized LLM schemas.
Yes, Toolhouse provides SDKs for Python and TypeScript with integrations for OpenAI, Anthropic, LangChain, CrewAI, and Vercel AI SDK. The universal approach works with most agent architectures.
Yes, you can package custom tools using Toolhouse's infrastructure. Custom tools get the same managed execution, monitoring, and error handling benefits as built-in tools.
Toolhouse provides uptime SLAs on paid plans. For critical applications, you can implement fallback logic to direct API calls. The platform is designed for high availability with redundant infrastructure.
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