SActionStraicoUpdated June 2026

How do I call Straico for LLM inference?

Short answer: You can straico chat completion in Straico by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Straico Straico Chat Completion 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.

Straico Chat Completion in Straico — start free All 4 Straico actions

Straico Chat Completion in Straico — start free

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
Prompt message	string	Required	The prompt to send to the model(s).
Model(s) models	array	Required	Array of Straico model slugs. Pass one to call a single model, or multiple to fan out the same prompt. Find slugs via List Models.
Attached File URLs (optional) file_urls	array	Optional	Public URLs of files (PDF, DOCX, TXT, etc.) to attach as context. Max 4 files.
Temperature temperature	number	Optional	Randomness 0.0–2.0. Lower = more deterministic.
Max output tokens max_tokens	number	Optional	Hard cap on model output length.

Sample request

{
  "message": "e.g. Summarize the following article in 3 bullets...",
  "models": "[\"anthropic/claude-3.5-haiku\"]",
  "file_urls": "[\"https://example.com/doc.pdf\"]",
  "temperature": "0.7",
  "max_tokens": "{{trigger.max_tokens}}"
}

Returns

{
  "data": {
    "completions": {
      "anthropic/claude-3.5-haiku": {
        "price": {
          "input": 0.0001,
          "total": 0.0003,
          "output": 0.0002
        },
        "words": {
          "input": 12,
          "total": 92,
          "output": 80
        },
        "completion": {
          "choices": [
            {
              "message": {
                "role": "assistant",
                "content": "Here is the summary..."
              }
            }
          ]
        }
      }
    },
    "overall_price": {
      "input": 0.0001,
      "total": 0.0003,
      "output": 0.0002
    },
    "overall_words": {
      "input": 12,
      "total": 92,
      "output": 80
    }
  },
  "success": true
}

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

FAQ

Questions about Straico Chat Completion.

What does the Straico Chat Completion action do in Straico?

Runs chat completion against any model in Straico's catalog (OpenAI, Anthropic, Google, Mistral, Llama, etc.) with single auth. For "one API key for many models" workflows.

What inputs does Straico Chat Completion require?

Required: Prompt, Model(s). 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 Straico 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 Straico Chat Completion support batch operations?

Yes. Run Straico Chat Completion inside a Loop node to process arrays. TinyCommand handles Straico's rate limits automatically so you don't have to throttle manually.

How do I call Straico for LLM inference?

The fields this action accepts.

Apps that pair well as the trigger for Straico Chat Completion.

Questions about Straico Chat Completion.

Other Straico actions.