eidolon-ai-sdk 0.1.16

An Open Source Agent Services Framework

Eidolon

An Open Source Agent Services Framework

Eidolon makes it easy to build, deploy, and manage agents and other generative ai services.

Step 0: Prerequisites

• Python 3.11
• OpenAI api key: You should have an envar OPENAI_API_KEY set to your OpenAI api key.

Step 1: Install Eidolon SDK

First, you need to install the Eidolon SDK. Open your terminal and run the following command:

pip install eidolon-ai-sdk

Step 2: Create an Agent

Now it is time to create your first AgentProgram. Create a directory and add a yaml file to describe your resource.

mkdir hello_world
vim hello_world/hello_world_agent.yaml

apiVersion: eidolon/v1
kind: Agent
metadata:
  name: hello_world
spec:
  implementation: GenericAgent
  description: "This is an example of a generic agent which greets people by name."
  system_prompt: "You are a friendly greeter who greets people by name while using emojis"
  user_prompt: "Hi, my name is {{name}}"
  input_schema:
    name:
      type: string
      description: The caller's name

Step 3: Run Eidolon Server

Finally, open a new terminal window and run your machine using eidolon-server.

eidolon-server -m local_dev hello_world

🚨 Getting command not found: eidolon-server? Open a new terminal window and try the command again.

⚠️ The -m local_dev option specifies using the local_dev builtin Machine resource. This machine uses in-memory symbolic memory rather than mongo, so state will disappear between server restarts.

Step 4: Try it out!

Now let's try to make a request to your server from another terminal window.

curl -X POST http://0.0.0.0:8080/agents/hello_world/programs/question -H 'Content-Type: application/json' -d '{"name": "World"}'; echo

You should now see something like Hello, World! 🌍👋

And that's it! You have successfully set up and used a basic project using the Eidolon SDK. To see more endpoints on your agent machine, visit the swagger ui.

Further Reading

For full documentation, visit www.eidolonai.com.