Fixie Examples

This repo contains examples of how to use the Fixie.ai platform. You can clone this repository directly to get started.

Built a cool agent that you want to share? Contribute back to this repo by opening a PR!

Full docs can be found here: https://docs.fixie.ai/.

Installing the Fixie CLI

You'll need to install the Fixie CLI to run these examples. You'll need Python >= 3.9 installed.

Install the Fixie CLI with pip install fixieai. Once installed, run fixie auth to authenticate to the Fixie service. If you don't already have an account, you'll need to create one at app.fixie.ai.

Building agents locally

You can scaffold out a default agent by running: fixie init

Fixie makes it easy to build, test, and debug your agents locally. To build an agent you need two files:

agent.yaml
main.py

In the agent.yaml file you will have the following fields:

handle: "agent"
description: |
  The `agent` serves the following function.

  Example queries:
    -Do this task for me.

more_info_url: "https://github.com/fixie-ai/fixie-examples"
entry_point: main:agent
public: false
tests:
  - query: "Please do the task."
    expected: "The response should indicate that the task has been done."

In the main.py file you will have the following fields:

from fixieai import agents

BASE_PROMPT = """I am an intelligent agent that does a task."""

FEW_SHOTS = """
Q: Example question here
A: Example of answer here
"""

agent = agents.CodeShotAgent(BASE_PROMPT, FEW_SHOTS)

Deploying agents

Deploying agents will automatically upload your agent to the Fixie cloud and start serving it immediately on the platform.

Run fixie agent deploy to create (or update) the agent and upload your fewshots and functions to Fixie.

Once you run this command you test it locally by running the following command: fixie session new '@username/agentname example query.

Or you can go to app.fixie.ai and chat with your new agent by invoking it in the main chat with @username/agentname.