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docs/Sample-Genai.md

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!!! pied-piper ":bulb: TL;DR - GenAI leverages AI and Microservice Automation for 'hands-free' project creation"
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!!! pied-piper ":bulb: TL;DR - GenAI leverages AI and Microservice Automation for project creation"
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To create projects, the system (either WebGenAI or API Logic Server CLI - for more information, [click here](https://apilogicserver.github.io/Docs/Architecture-What-Is/){:target="_blank" rel="noopener"}) performs the following:
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To create projects, the system (either the WebGenAI web app, or API Logic Server CLI) performs the following:
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1. Uses ChatGPT APIs to submit prompts and obtain data model class responses
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1. Uses ChatGPT APIs to submit prompts and obtain data model class responses
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2. It then uses these to create a database and project
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This document presumes you have already created the project, and are using VSCode or GitHub to explore it. It illustrates how to run and customize the genai_demo project.
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> Note: if you *not* already created the project, proceed to [the Appendix](#creating-genai_demo)
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> Note: if you have *not* already created the project, proceed to the Appendix ("Creating GenAI Demo").
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and run a project that provides a JSON:API, a Web App, a database, and
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business logic that runs in the API.
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For more information, [see below](#how-does-it-work). For more information on the architecture,
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[click here](https://www.genai-logic.com/architecture).
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For more information, Appendix ("how does it work"). For more information on the architecture,
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please see: https://www.genai-logic.com/architecture.
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Let's have a look at the created project.
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API/App Automation means the created project is executable. To run:
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1. Press **F5** to run
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2. Start your Browser (use the codespaces button, or [locally](http://localhost:5656/)) to view:
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2. Start your Browser (use the codespaces button, or locally: http://localhost:5656/) to view:
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* App Automation: the Admin App, and
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* API Automation: JSON:API, with Swagger
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3. Stop the server when you are done (red box on VSCode Debugger panel)
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![Microservice Automation](images/sample-ai/copilot/created-microservice.png)
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It's a modern, 3-tiered architecture, using standard Python libraries. For more information, [click here - slide 2](https://www.genai-logic.com/architecture).
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It's a modern, 3-tiered architecture, using standard Python libraries. For more information, see slide 2: https://www.genai-logic.com/architecture.
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3. To test the new endpoint, use Swagger (**ServicesEndPoint > POST /ServicesEndPoint/OrderB2B)**.
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* Observe the swagger response - "Sending Order to Shipping sends:".
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Note: Kafka is not activated in this example. To explore a running Tutorial for application integration with running Kafka, [click here](Sample-Integration.md){:target="_blank" rel="noopener"}.
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Note: Kafka is not activated in this example. To explore a running Tutorial for application integration with running Kafka, see: https://apilogicserver.github.io/Docs/Sample-Integration.
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GenAI Automation produces *working software, now*, so you can find misunderstandings before investing serious effort ("fail fast"). To expose the working software, it's often desirable to deploy to the cloud so business users can run it.
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API Logic Server creates the `devops` directory, which scripts to containerize your project, and deploy it to Azure. For more information, see [DevOps Automation](https://apilogicserver.github.io/Docs/DevOps-Automation/){:target="_blank" rel="noopener"}.
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API Logic Server creates the `devops` directory, which scripts to containerize your project, and deploy it to Azure. For more information, see DevOps Automation: https://apilogicserver.github.io/Docs/DevOps-Automation/.
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It's usage create the sqlite database, but running it in this mode can provide more insight into causes.
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If you are using [Web/GenAI](WebGenAI.md){:target="_blank" rel="noopener"}, project files are always under /projects/gen_$ID.
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If you are using Web/GenAI (see: https://apilogicserver.github.io/Docs/WebGenAI/), project files are always under /projects/gen_$ID.
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![Creation from WebGenAI](images/sample-ai/genai/genai-prompt.png)
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View the process in this video:
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[![GenAI Automation](images/ai-driven-automation/GenAI-Logic-Means.png)](https://www.youtube.com/watch?v=7I33Fa9Ulos "Microservice Automation"){:target="_blank" rel="noopener"}
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View the process in this video: https://www.youtube.com/watch?v=7I33Fa9Ulos
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#### Using the ALS CLI
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[![GenAI Automation](images/sample-ai/copilot/genai-automation-video.png)](https://www.youtube.com/watch?v=LSh7mqGiT0k&t=5s "Microservice Automation"){:target="_blank" rel="noopener"}
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View: https://www.youtube.com/watch?v=LSh7mqGiT0k&t=5s.
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To create a microservice, identify an existing database, or provide a natural language "prompt" description.
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You can explore genai_demo using the [Manager](https://apilogicserver.github.io/Docs/Manager/){:target="_blank" rel="noopener"}. Optionally, you can sign-up for ChatGPT API and Copilot, or simulate the process as described below.
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You can explore genai_demo using the Manager https://apilogicserver.github.io/Docs/Manager/. Optionally, you can sign-up for ChatGPT API and Copilot, or simulate the process as described below.
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1. If you have signed up for ChatGPT API and Copilot, this command will create and open a project called `genai_demo` from `system/genai/examples/genai_demo/genai_demo.prompt`:
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You can test this as follows:
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1. Use [our docker image](https://apilogicserver.github.io/Docs/Database-Docker/){:target="_blank" rel="noopener"}
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1. Use our docker image: https://apilogicserver.github.io/Docs/Database-Docker/
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2. And:
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```bash

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