Short answer: You can chat with tools in OpenAI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the OpenAI Chat with Tools action to a workflow, map its 5 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
Every field can be mapped from an upstream trigger, AI step, table row, or hard-coded literal.
| Field | Type | Required | Description |
|---|---|---|---|
Model model | options | Required | Model. Options: GPT-5, GPT-4.1, GPT-4o |
User Message message | string | Required | User Message (required) |
System Prompt system_prompt | string | Optional | System Prompt |
Tools tools | array | Required | Array of tool definitions in OpenAI tools format. Each item: { type: 'function', function: { name, description, parameters } } |
Tool Choice tool_choice | string | Optional | auto | none | required | {"type":"function","function":{"name":"X"}} |
{"model": "{{trigger.model}}","message": "{{trigger.message}}","system_prompt": "{{trigger.system_prompt}}","tools": "{{trigger.tools}}","tool_choice": "auto | none | required | {\"type\":\"function\",\"function\":{\"name\":\"X\"}}"}
{"id": "chatcmpl_abc","choices": [{"message": {"role": "assistant","content": null,"tool_calls": [{"id": "call_abc","type": "function","function": {"name": "get_weather","arguments": "{\"city\":\"Mumbai\"}"}}]},"finish_reason": "tool_calls"}]}
Use these fields in downstream nodes for routing, logging, or error handling.
Any of these apps can fire this action as part of a workflow.