Amazon Nova Premier

amazon/nova-premier-v1

Run Amazon Nova Premier in a hosted Python Task with file inputs.

Amazon's Nova Premier model via OpenRouter. Flagship AWS model with 1M token context window designed for complex reasoning tasks. Multimodal support for text and image inputs. Can be used as a teacher model for custom distillation.

What Amazon Nova Premier supports in qbash

Image inputReads WEBP, PNG, JPEG and GIF images.
Document inputReads PDF, TEXT, DOC, XLS, RTF and 7 more files.
Prompt cachingRepeated input is billed at the cached rate.

What is qbash?

qbash is where you build Tasks: Python programs that run a business process on managed infrastructure. Your code runs the steps and calls a model like Amazon Nova Premier only at the ones that need judgment, with integrations, memory and files available in the same script.

A developer writes the Task once, and anyone on the team runs it from a form, on a schedule, from a webhook or from chat. Each Task is versioned and every run is logged.

How Tasks work

Specifications

Context window: 1Mtokens
Max output: 8,192tokens
Temperature: 0 to 2default 1

Use Amazon Nova Premier in a Python Task

qbash.ai.raw calls Amazon Nova Premier from a Task and returns its reply as a string.

main.py
notes = qbash.inputs.get("notes")

summary = qbash.ai.raw(
    f"Summarize these meeting notes in five bullets:\n\n{notes}",
    model="amazon/nova-premier-v1",
    system="You are a concise analyst.",
)

qbash.output({"summary": summary})

Model calls in Tasks