ActionOpenRouterUpdated September 2026
How do I call OpenRouter for LLM inference?
Short answer: You can openrouter chat completion in OpenRouter by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the OpenRouter OpenRouter Chat Completion action to a workflow, map its 7 inputs from any upstream app, and it runs automatically every time the trigger fires. No code, and a free tier to start.
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 |
|---|---|---|---|
Model model | options | Required | Which model to use |
User Message message | string | Required | User message to send to the model |
System Prompt system_prompt | string | Optional | Optional system instructions that shape the model's behavior |
Temperature temperature | string | Optional | Sampling temperature (0–2). Higher = more random. |
Max Tokens max_tokens | string | Optional | Maximum tokens to generate in the response |
Top P top_p | string | Optional | Nucleus sampling threshold (0–1) |
Response Format response_format | options | Optional | Force JSON output (model must support JSON mode) |
Sample request
{"model": "{{trigger.model}}","message": "e.g. Summarize this article in 3 bullets","system_prompt": "e.g. You are a helpful assistant.","temperature": "0.7","max_tokens": "1024"}
Returns
{"id": "chatcmpl-abc123","model": "openrouter/auto","usage": {"total_tokens": 60,"prompt_tokens": 10,"completion_tokens": 50},"choices": [{"message": {"role": "assistant","content": "Sample response"},"finish_reason": "stop"}]}
Use these fields in downstream nodes for routing, logging, or error handling.
Triggered by
Apps that pair well as the trigger for OpenRouter Chat Completion.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about OpenRouter Chat Completion.
What does the OpenRouter Chat Completion action do in OpenRouter?
Runs chat completion against any model in OpenRouter's catalog (100+ models from OpenAI, Anthropic, Google, Meta, etc.) with single auth. OpenAI-compatible shape. Optional fallback routing for resilience.
What inputs does OpenRouter Chat Completion require?
Required: Model, User Message. 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 OpenRouter returns an error?
The run history shows the failed step with its input and the error message OpenRouter returned, so you can fix the input and run the workflow again. Automatic retries are built into HTTP steps only, where you can also set your own retry count and delay.
Does OpenRouter Chat Completion support batch operations?
Run OpenRouter Chat Completion inside a loop to process each item in an array. TinyCommand does not throttle calls for you, so for large arrays add a Delay step if you need to stay within OpenRouter's rate limits.
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