{"library":"openvino-genai","title":"OpenVINO GenAI","description":"OpenVINO GenAI provides optimized pipelines and execution methods for generative AI models (LLMs, image generation, etc.) leveraging Intel OpenVINO. Current version 2026.1.0.0, with quarterly releases. It enables efficient inference on Intel hardware.","language":"python","status":"active","last_verified":"Fri May 01","install":{"commands":["pip install openvino-genai"],"cli":null},"imports":["from openvino_genai import LLMPipeline","from openvino_genai import VLMPipeline","from openvino_genai import ImageGenerationPipeline"],"auth":{"required":false,"env_vars":[]},"quickstart":{"code":"import openvino_genai\nfrom openvino_genai import LLMPipeline\n\n# Create pipeline with a model directory (assuming model files are present)\npipeline = LLMPipeline(\"./tiny-llama\")\n\n# Generate a response\nresult = pipeline.generate(\"What is the capital of France?\", max_new_tokens=100)\nprint(result)\n","lang":"python","description":"Basic LLM inference using OpenVINO GenAI. Ensure model is converted to OpenVINO IR format.","tag":null,"tag_description":null,"last_tested":null,"results":[]},"compatibility":null}