AI Hero Python SDK

The AI Hero Python SDK offers a powerful set of tools for managing and developing AI models. With our latest release, you can easily manage prompt templates and versions, allowing for easier and more effective model development, testing, and deployment.

AI Hero's PromptCraft and PromptStash helps you with:

• Prompt Creation: Define and format AI's interaction templates.
• Project Initialization: Quickly set up projects with a dedicated ID and API key.
• Version Control for Prompts: Easily stash, manage, and recall prompt variants.
• Track and Monitor AI Interactions: Document and visualize every AI interaction in real-time.
• Analysis and Oversight: Observe AI's steps and decision-making.
• Evaluation: Implement automated testing for AI's responses and compare your previous runs.
• Feedback System: Seamlessly log user feedback on AI outputs.

Installation

Install AI Hero using pip:

pip install aihero==0.3.0

PromptCraft

Are you a product manager navigating the dynamic AI space? Imagine having the power to track edits in a shared document, but for AI prompts. With prompt versioning, we can keep an eye on alterations, dip back into past iterations, and streamline updates. Ever wished you could pull up an older version of an AI prompt for clarity or comparison without diving deep into the technical weeds? "PromptCraft" is your ally, tailor-made to simplify the journey for those on the product side of things.

How to use it

In a folder for your project, create a file .env containing the following API Keys:

OPENAI_API_KEY=<Your OpenAI API Key>
AI_HERO_PROJECT_ID=<Project ID from your project the AI Hero Website>
AI_HERO_PROJECT_API_KEY=<API Key for the project>

Running PromptCraft

If you're using the Completions API:

aihero promptcraft completions

OR if you are using the Chat Completions API:

aihero promptcraft chat_completions

PromptStash

In the rapidly evolving world of AI, the ability to manage and control versions of prompts becomes incredibly important. Much like software version control, prompt versioning allows developers to track changes, revert to previous versions, and implement updates in a controlled and systematic manner. This is especially useful when you want to recall previous versions of your AI model's prompt templates, perhaps for debugging, comparison or to manage different versions of an AI. That's where the concept of "Promptstash" in AI Hero Python SDK comes into play.

Tutorials

We have two tutorials for you:

• PromptOps with OpenAI's Completions API + PromptStash (Beginner) - In this example tutorial, we'll use an LLM to do some English to Japanese translation for us so that we can talk to our friend in Japanese and look at the PromptOps associated with it.

• PromptOps with OpenAI's Chat Completions API + PromptStash (Beginner) - In this example tutorial, we'll use a LLM Chat Bot as a Japanese tutor for us so that we can learn Japanese through conversation and look at the PromptOps associated with it.

There's more coming soon!

• We're building a notebook for Retrieval Augmented Generation.
• Hit us up if you'd like a custom demo at team@aihero.studio.