Select an endpoint and copy a working example for this model.
from openai import OpenAI client = OpenAI( api_key="YOUR_API_KEY", base_url="https://api.apertis.ai/v1") response = client.chat.completions.create( model="nova-pro-v1", messages=[ {"role": "user", "content": "Hello!"} ], max_tokens=1024, temperature=0.7) print(response.choices[0].message.content) # Optional: Enable context compression to reduce token usage# response = client.chat.completions.create(# model="nova-pro-v1",# messages=[{"role": "user", "content": "Hello!"}],# extra_body={"compression": {"enabled": True, "model": "gpt-4.1-mini"}}# )modelmessagesmax_tokenstemperaturetop_pstreamtoolsreasoning_effortstream_optionsthinkingextra_bodyUse these namespaced identifiers in Cursor IDE to avoid conflicts with built-in models.
See how this model compares to others from the same provider.
Nova 2 Lite is a fast, affordable reasoning model that works across text, images, and video to produce text outputs. It performs well on everyday tasks like document analysis, video understanding, information extraction, coding, grounded Q&A, and automating multi-step agent workflows.
Amazon Nova Premier is Amazon's most powerful multimodal model, designed for complex reasoning tasks and frequently used as a top-tier “teacher” model for distilling and training custom systems.
See how this model compares to others from the same provider.
Nova 2 Lite is a fast, affordable reasoning model that works across text, images, and video to produce text outputs. It performs well on everyday tasks like document analysis, video understanding, information extraction, coding, grounded Q&A, and automating multi-step agent workflows.
Amazon Nova Premier is Amazon's most powerful multimodal model, designed for complex reasoning tasks and frequently used as a top-tier “teacher” model for distilling and training custom systems.
No observed failures in the current observation window