Enable the change of the initialisation prompt

[tubamos]

Dependencies

• Enable the fetching of an initialisation prompt from Google Docs #214

Domain

app backend

Description

General Intro

The initialisation prompt is administered by the entrepreneur-user who is “forming” and deploying different instances of the app to perform as different types of agents for common-users of different backgrounds.

The components for custom context (Jan / Dave) are supposed to be administered only by common-users who do not have access to the initialisation prompt (Google Docs) but are the receivers of the questions included in that prompt when they log in to the app instance that is tied to a specific prompt or when the initialisation prompt gets updated by the entrepreneur-user.

entrepreneur-user:

Creates and deploys different instances of the same app / pipeline. One instance is the one we are creating that has to do with lifestyle advice for persistent health problems. The initialisation prompt asks from common users to provide details about their medical background. food preferences etc. The entrepreneur user, in the future, could take the same app backbone and after changing a) the link to the google docs where the initialisation prompt is hosted b) the links to the embeddings DB c) some custom prompts which in our case are unfortunately not easily decoupled from the codebase they could turn the app backbone into essentially a different app which is let’s say for a common-user who is a biologist and does research on sth. of that field. The initialisation prompt, the embeddings and the custom prompts should be different at that case. This is not our job though for this project. We are only focusing on making a) the backbone so that the app can accommodate several common-user use cases (person with persistent health problems, biologist, economist…) and b) we create just one instance of these as a POC.

common-user:

The common-user lives in the walled garden that the entrepreneur-user have created for them. They receive an app that has been tailored for their needs without being able to turn the app into something else (unlike with the entrepreneur user). The common-user has the option to pass custom context (chatGPT style) to the LLM through the custom context fields that Jan / Dave have built.

An analogy: if the common user was a single docker container the entrepreneur-user would be kubernetes.

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More specific about this task

Develop some functionality to allow the initialization prompt to be updated dynamically. Changes made to the document by the entrepreneur-user are reflected in the app without requiring a redeployment. The entrepreneur-user can edit the prompt directly in Google Docs, and the app will fetch the updated content at runtime. The diff is evaluated and if needed the agent makes additional questions to the common-user in order to update the custom context saved for the common-user.

User Story

• As an entrepreneur-user,
• I want to be able to update the initialization prompt by editing a Google Docs document
• to allow for quick and easy updates to the prompt content.

Acceptance Criteria

• The entrepreneur-user can update the initialisation prompt by editing the Google Docs document without reconfiguring the app.
• The application can detect and fetch updates to the initialization prompt saved in the specified Google Docs document.
• Fetching errors are handled
• Changes made to the Google Docs document are reflected in the questions asked by the agent to the common-user in the app without requiring a redeployment of the app by the entrepreneur-user.

Definition of Done

• The feature has been fully implemented.
• The feature has been manually tested and works as expected without critical bugs.
• The feature code is documented with clear explanations of its functionality and usage.
• The feature code has been reviewed and approved by at least one team member.
• The feature branches have been merged into the main branch and closed.
• The feature utility, function and usage have been documented in the respective project wiki on github.