ActionFireworks AIUpdated September 2026
How do I call Fireworks for LLM inference?
Short answer: You can fireworks chat completion in Fireworks AI by hand from its own interface, but it won’t repeat itself. On TinyCommand, add the Fireworks AI Fireworks 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": "accounts/fireworks/models/llama-v3p3-70b-instruct","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 Fireworks Chat Completion.
Any of these apps can fire this action as part of a workflow.
FAQ
Questions about Fireworks Chat Completion.
What does the Fireworks Chat Completion action do in Fireworks AI?
Runs chat completion against Fireworks-hosted open-source models. Notable for Firefunction V2 — Fireworks's fine-tuned Llama for reliable function calling. OpenAI-compatible shape.
What inputs does Fireworks 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 Fireworks AI returns an error?
The run history shows the failed step with its input and the error message Fireworks AI 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 Fireworks Chat Completion support batch operations?
Run Fireworks 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 Fireworks AI's rate limits.
More actions
Other Fireworks AI actions.
Action
Fireworks Embeddings
Generates embeddings from Fireworks-hosted models (BGE, GTE, sentence-transformers). For RAG-pipeline vector generation at competitive pricing.
ActionList Fireworks Models
Returns the Fireworks model catalog with pricing. Useful for model-selection workflows and for per-model cost calculations.