Support for NVIDIA Nemotron 3 Nano Omni

Author: TKassis

pyproject.toml

@@ -1,6 +1,6 @@
 [project]
 name = "kady"
-version = "0.3.6"
+version = "0.3.7"
 description = "Kady — K-Dense BYOK Agent"
 readme = "README.md"
 requires-python = ">=3.13"

web/src/data/models.json

@@ -352,6 +352,19 @@
     "modality": "text->text",
     "description": "Nemotron 3 Super is NVIDIA's 120B-parameter open hybrid Mixture-of-Experts model that activates only 12B parameters during inference, built on a hybrid Mamba-Transformer architecture with multi-token prediction. It features a 1M token context window and delivers over 50% higher token generation throughput compared to leading open models. Trained with multi-environment reinforcement learning across 10+ environments, it excels at complex multi-agent applications with long-term agent coherence and multi-step task planning. Fully open with weights, datasets, and recipes available under the NVIDIA Open License."
   },
+  {
+    "id": "openrouter/nvidia/nemotron-3-nano-omni-30b-a3b-reasoning:free",
+    "label": "Nemotron 3 Nano Omni (free)",
+    "provider": "NVIDIA",
+    "tier": "budget",
+    "context_length": 256000,
+    "pricing": {
+      "prompt": 0.0,
+      "completion": 0.0
+    },
+    "modality": "text+image+video+audio->text",
+    "description": "NVIDIA Nemotron\u2122 3 Nano Omni is a 30B-A3B open multimodal model designed to function as a perception and context sub-agent in enterprise agent systems. It accepts text, image, video, and audio inputs and produces text output, enabling agents to perceive and reason across modalities in a single inference loop.\n\nBuilt on a hybrid MoE Transformer-Mamba architecture with Conv3D video layers and Efficient Video Sampling (EVS), it delivers approximately 2\u00d7 higher throughput and 2.5\u00d7 lower compute for video reasoning versus separate vision + speech pipelines. It supports up to 300K context length and a 16,384 reasoning budget, with extended thinking enabled via reasoning.enabled on OpenRouter."
+  },
   {
     "id": "openrouter/minimax/minimax-m2.1",
     "label": "MiniMax M2.1",