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Hayhooks

@deepset-ai

Easily deploy Haystack pipelines as REST APIs and MCP Tools.
Overview

What is Hayhooks?

Hayhooks is a tool that simplifies the deployment of Haystack pipelines as REST APIs, allowing users to serve AI models and custom logic via HTTP endpoints.

How to use Hayhooks?

To use Hayhooks, install the package using pip install hayhooks, configure the necessary environment variables, and run the server with hayhooks run. You can deploy pipelines using CLI commands or Docker Compose for quick setup.

Key features of Hayhooks?

  • Easy deployment of Haystack pipelines as REST APIs.
  • Support for OpenAI-compatible chat completion endpoints.
  • Customizable pipeline execution logic with minimal boilerplate code.
  • CLI commands for managing pipelines and server status.

Use cases of Hayhooks?

  1. Deploying AI models as RESTful services for web applications.
  2. Integrating with chat interfaces like OpenAI and open-webui.
  3. Running complex data processing pipelines with minimal setup.

FAQ from Hayhooks?

  • Can I deploy multiple pipelines?

Yes! You can deploy multiple pipelines and manage them through the CLI.

  • Is there support for file uploads?

Yes! Hayhooks can handle file uploads in your pipeline wrappers.

  • What is the minimum Python version required?

You need at least Python 3.10 to use the MCP server.

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