OpenAI is an artificial intelligence research and deployment company. They offer various AI models and APIs for developers to build applications leveraging cutting-edge AI capabilities.
Official docs: https://platform.openai.com/docs/api-reference
Use action names and parameters as needed.
This skill uses the Membrane CLI to interact with OpenAI. Membrane handles authentication and credentials refresh automatically — so you can focus on the integration logic rather than auth plumbing.
Install the Membrane CLI so you can run membrane from the terminal:
npm install -g @membranehq/cli
membrane login --tenant
A browser window opens for authentication.
Headless environments: Run the command, copy the printed URL for the user to open in a browser, then complete with membrane login complete .
```bash
membrane search openai --elementType=connector --json
```
Take the connector ID from output.items[0].element?.id, then:
```bash
membrane connect --connectorId=CONNECTOR_ID --json
```
The user completes authentication in the browser. The output contains the new connection id.
When you are not sure if connection already exists:
```bash
membrane connection list --json
```
If a OpenAI connection exists, note its connectionId
When you know what you want to do but not the exact action ID:
membrane action list --intent=QUERY --connectionId=CONNECTION_ID --json
This will return action objects with id and inputSchema in it, so you will know how to run it.
| Name | Key | Description |
|---|---|---|
| --- | --- | --- |
| Delete File | delete-file | Deletes a file. |
| Get File | get-file | Returns information about a specific file. |
| List Files | list-files | Returns a list of files that belong to the user's organization. |
| Get Model | get-model | Retrieves a model instance, providing basic information about the model. |
| List Models | list-models | Lists the currently available models and provides basic information about each one. |
| Create Moderation | create-moderation | Classifies if text violates OpenAI's Content Policy. |
| Generate Image | generate-image | Creates an image given a prompt using DALL-E. |
| Create Embedding | create-embedding | Creates an embedding vector representing the input text. |
| Create Chat Completion | create-chat-completion | Creates a model response for the given chat conversation using GPT models. |
membrane action run --connectionId=CONNECTION_ID ACTION_ID --json
To pass JSON parameters:
membrane action run --connectionId=CONNECTION_ID ACTION_ID --json --input "{ \"key\": \"value\" }"
When the available actions don't cover your use case, you can send requests directly to the OpenAI API through Membrane's proxy. Membrane automatically appends the base URL to the path you provide and injects the correct authentication headers — including transparent credential refresh if they expire.
membrane request CONNECTION_ID /path/to/endpoint
Common options:
| Flag | Description |
|---|---|
| ------ | ------------- |
-X, --method | HTTP method (GET, POST, PUT, PATCH, DELETE). Defaults to GET |
-H, --header | Add a request header (repeatable), e.g. -H "Accept: application/json" |
-d, --data | Request body (string) |
--json | Shorthand to send a JSON body and set Content-Type: application/json |
--rawData | Send the body as-is without any processing |
--query | Query-string parameter (repeatable), e.g. --query "limit=10" |
--pathParam | Path parameter (repeatable), e.g. --pathParam "id=123" |
membrane action list --intent=QUERY (replace QUERY with your intent) to find existing actions before writing custom API calls. Pre-built actions handle pagination, field mapping, and edge cases that raw API calls miss.共 2 个版本