ChatGPT on Antoine Boucher

ChatGPT plugin with FastAPI — implementation outline

Sat, 01 Jun 2024 10:00:00 -0400

OpenAI-style plugins expose an HTTP API described by an OpenAPI document so ChatGPT can call your tools safely. FastAPI generates OpenAPI for you, which fits this model well.

1. Define the API in FastAPI

Routes return JSON with stable shapes (no ambiguous free text where structure matters).
Add summaries and descriptions on paths and fields — they help the model choose the right tool.

2. Publish `openapi.json`

FastAPI serves /openapi.json by default; the plugin manifest points at this URL (or a static copy you version).
Keep schemas tight: enums, required fields, and examples reduce bad calls.

3. Plugin manifest

Host ai-plugin.json (or the format required by the current OpenAI developer docs) over HTTPS.
Manifest references your API base URL and OpenAPI location.

4. Auth

Prefer OAuth or API keys as documented for your integration; never commit secrets.
Validate tokens inside FastAPI dependencies or middleware.

5. Deploy

HTTPS endpoint reachable from OpenAI’s servers.
Logging and idempotency for side-effecting routes.

6. Test manually

Call routes with curl or HTTPie using the same payloads the model will send.
Iterate on descriptions and constraints before exposing wide traffic.

Details change with OpenAI’s platform updates — always follow the latest plugin / tools / actions documentation when wiring production apps.

GPT-4 vs GPT-3.5 — capabilities and API cost framing

Mon, 10 Apr 2023 10:00:00 -0400

As artificial intelligence continues to advance, more and more companies are incorporating AI-powered chatbots into their customer service systems. These chatbots can handle a wide range of customer inquiries, from simple questions to more complex issues. However, the cost of implementing and maintaining such chatbots is an important factor to consider. In this article, we will calculate the costs of using GPT-4 and GPT-3.5-turbo models with a message cap of 25 messages every 3 hours for one month of usage, considering the same average prompt sizes (50 to 200 tokens).

D2C OpenAI plugin — diagrams with PlantUML, Mermaid, and D2

Tue, 06 Sep 2022 10:00:00 -0400

Github: https://lnkd.in/en3dSVuQ

Plugin URL: https://lnkd.in/exVNZMnT

D2COpenAIPlugin is a plugin for ChatGPT that enables users to generate diagrams using PlantUML, Mermaid, D2. This plugin enhances the capabilities of ChatGPT by providing a seamless way to create diverse and creative diagrams.

For a prompt-in-the-chat workflow (AIPRM template, cache hit/miss sequence examples, and canvas-tool tips), see Diagram prompts with ChatGPT and AIPRM — complementary to this plugin-based approach.

🤖 ChatGPT UML Plugins - DEMO

Diagram prompts with ChatGPT and AIPRM (PlantUML, Mermaid, and more)

Tue, 06 Sep 2022 10:00:00 -0400

The AIPRM browser extension gives you reusable prompt templates inside ChatGPT. Combined with a small structured prompt (diagram type, what to draw, why, and which tool), you get consistent output whether you want text-first formats like PlantUML or Mermaid, or a recipe for redrawing the same flow in a canvas tool.

Full article in French (same slug — you can also switch to FR in the site header).

AIPRM prompt template (copy and adapt)

Fill one line per dimension. You can paste the block below into ChatGPT (with or without AIPRM) and edit the bracketed values.

D2COpenAIPlugin

Mon, 06 Sep 2021 22:42:23 +0800

D2COpenAIPlugin

You can view the project here You can use the plugin here

Join the ChatGPT plugins waitlist here!

D2COpenAIPlugin is a plugin for ChatGPT that enables users to generate diagrams using PlantUML or Mermaid. This plugin enhances the capabilities of ChatGPT by providing a seamless way to create diverse and creative diagrams.

Features

Generate diagrams using PlantUML or Mermaid
Seamless integration with ChatGPT
User-friendly interface for creating diagrams
Enhances the versatility of ChatGPT

Installation

Before using the plugin, make sure to have the following prerequisites installed:

ChatGPT on Antoine Boucher

ChatGPT plugin with FastAPI — implementation outline

1. Define the API in FastAPI

2. Publish openapi.json

3. Plugin manifest

4. Auth

5. Deploy

6. Test manually

GPT-4 vs GPT-3.5 — capabilities and API cost framing

D2C OpenAI plugin — diagrams with PlantUML, Mermaid, and D2

Diagram prompts with ChatGPT and AIPRM (PlantUML, Mermaid, and more)

AIPRM prompt template (copy and adapt)

D2COpenAIPlugin

D2COpenAIPlugin

Features

Installation

2. Publish `openapi.json`