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-lite-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-lite-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.
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.
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.
No observed failures in the current observation window