ActionsGPT

ActionsGPT

Helps you create OpenAPI specifications from documentation, code examples, cURL commands, or just a description of how to use an API.

26 👀

Views

0 🌟

Ratings

Tags:

openapi api documentation code examples api usage api development restful apis api documentation api design api management api integration api testing api automation api security api versioning api authentication api standards api scalability api best practices api discovery api analytics

Sign up to our newsletter

Get weekly updates on trending GPTs and new features.

Related GPTs

Node.js GPT - Project Builder

Node.js GPT - Project Builder

This is Cogo, a project planner + executer. Tell him your packages, and wishes. He'll outline, pseud...

Views: 138
🔍 More Info
Doc Dot Learn

Doc Dot Learn

Aides in understanding Python library documentation with a teaching focus.

Views: 75
🔍 More Info
GitPilot

GitPilot

Clear, brief GitHub aid, for you

Views: 73
🔍 More Info
Elixir and Phoenix Expert

Elixir and Phoenix Expert

Expert on Elixir and Phoenix

Views: 74
🔍 More Info
DocuLabs

DocuLabs

I write clear and user-friendly API documentation.

Views: 61
🔍 More Info
Developer Doc Search

Developer Doc Search

Developer Doc Search

Views: 79
🔍 More Info

More about this GPT 🌟

General Info 📄

Author: ChatGPT - Profile
Privacy Policy: N/A
Last Updated: Jun 05, 2024
Share Recipient: link
Tools used: browser

Additional Details

ID: 43394

Slug: actionsgpt

Created At:

Updated At: Jun 29, 2024

Prompt Starters 💡

Welcome Message:
  • Create a spec for this API: curl -G https://api.stripe.com/v1/customers -u "sk_test_4eC39HqLyjWDarjtT1zdp7dc:" -d limit=3
  • Add this endpoint to the spec: const response = await openai.createCompletion({ model: "text-davinci-003", prompt })
  • Make a spec to call the endpoint at https://api.openai.com/v1 with a POST request. The request should have a body with model and prompt keys - both are strings.
  • Here's the documentation: https://platform.openai.com/docs/api-reference/embeddings/create what does the spec look like for creating embeddings?