<@ULVA73B9P> how to use controlflow with fastapi t...
# ask-marvin
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@Marvin how to use controlflow with fastapi to create web app
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To integrate ControlFlow with FastAPI and create a web application, you have a couple of options and features at your disposal. 1. Setting Up ControlFlow: ControlFlow is a framework built on Prefect 3.x that allows creating dynamic AI workflows. Here's a quick start: - Installation: You can install ControlFlow using pip. For example, if you're using OpenAI as an LLM provider, you need to configure your API key as described here. - Creating Tasks and Agents: You can create specialized agents for your tasks, which can run interactively if set up with
interactive=True
. This means they can dynamically adapt based on user input, making your workflow more versatile and user-friendly. More detailed setup is available at ControlFlow Interactivity. 2. FastAPI Integration: Prefect 3.x supports asynchronous operations and can be integrated with FastAPI. An example of setting up a FastAPI server with multiple microservices is shown in Prefect's tutorials. Here's a brief on what you can do: - Set up a FastAPI application and use Prefect tasks to handle specific asynchronous operations or workflows. - Use Prefect's asynchronous capabilities to define your flows. FastAPI can handle incoming web requests and trigger these flows, which can be composed of synchronous or asynchronous tasks inside Prefect. Refer to Prefect's guidelines on using FastAPI for a detailed setup that includes creating endpoints that trigger Prefect flows. To sum up, while ControlFlow will handle the intelligent workflows, FastAPI will act as the web server, receiving requests and initiating these workflows in a seamless manner. As always, use these tools wisely, or they might learn to outsmart you (or at least pretend to in front of your friends).