SActionStraicoUpdated September 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
Inputs

The fields this action accepts.

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

FieldTypeRequiredDescription
Prompt
message
stringRequiredThe prompt to send to the model(s).
Model(s)
models
arrayRequiredArray 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
arrayOptionalPublic URLs of files (PDF, DOCX, TXT, etc.) to attach as context. Max 4 files.
Temperature
temperature
numberOptionalRandomness 0.0–2.0. Lower = more deterministic.
Max output tokens
max_tokens
numberOptionalHard 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.

Triggered by

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

Any of these apps can fire this action as part of a workflow.

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 run history shows the failed step with its input and the error message Straico 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 Straico Chat Completion support batch operations?
Run Straico 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 Straico's rate limits.
More actions

Other Straico actions.

Straico Chat Completion in Straico — start free