ActionAzure OpenAIUpdated June 2026

How do I generate embeddings via Azure OpenAI?

Short answer: You can create embedding in Azure OpenAI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Azure OpenAI Create Embedding action to a workflow, map its 1 input from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.

Use this action All 2 Azure OpenAI actions

Inputs

The fields this action accepts.

Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.

Field	Type	Required	Description
Text text	string	Required	Text (required)

Sample request

{
  "text": "{{trigger.text}}"
}

Returns

{
  "data": [
    {
      "index": 0,
      "embedding": [
        0.012
      ]
    }
  ],
  "usage": {
    "total_tokens": 5,
    "prompt_tokens": 5
  }
}

Use these fields in downstream nodes for routing, logging, or error handling.

FAQ

Questions about Create Embedding.

What does the Create Embedding action do in Azure OpenAI?

Generates embeddings using a deployed embedding model (text-embedding-3-large, text-embedding-3-small, etc.). Dimensions match the OpenAI direct equivalents. For vector workflows on Azure-resident data, this avoids the OpenAI-direct data-flow path.

What inputs does Create Embedding require?

Required: Text. Every input accepts a static value or a variable from any upstream node in your workflow.

Can I use dynamic inputs from earlier workflow nodes?

Yes. Any field on this action can pull values from upstream nodes, whether that's a form response, a trigger payload, an AI output, or a lookup result.

What happens if Azure OpenAI returns an error?

The workflow pauses on the failed node, the error message is captured in the run log, and you can retry the run with one click. Auto-retry policies are configurable per workflow with exponential backoff up to 5 attempts.

Does Create Embedding support batch operations?

Yes. Run Create Embedding inside a Loop node to process arrays. TinyCommand handles Azure OpenAI's rate limits automatically so you don't have to throttle manually.

More actions

Other Azure OpenAI actions.

Action

Chat Completion

Runs a chat completion against your Azure-deployed GPT models. References the deployment name (your Azure alias) rather than the underlying model name. The OpenAI-compatible request shape means workflows port from OpenAI direct by swapping base URL + model param.