Add Cosmos3-Edge to the TensorRT-LLM Reasoner cookbook - #383

The cookbook content has moved out of this repo.
Please review the migrated changes here instead:
NVIDIA/cosmos-framework#299

Summary

Add Cosmos3-Edge to the TensorRT-LLM Reasoner cookbook.

Cosmos3-Nano and Cosmos3-Super stay on the pinned nvcr.io/nvidia/tensorrt-llm/release:1.3.0rc22 image. That image does not include Cosmos3EdgeForConditionalGeneration, so Cosmos3-Edge is documented as a single-GPU server started from a TensorRT-LLM source build that includes NVIDIA/TensorRT-LLM#20307.

Changes

• cookbooks/cosmos3/README.md
  • Separates the Nano/Super release-image path from the Edge source-build path.
  • Adds the single-GPU Cosmos3-Edge trtllm-serve command on port 8001.
• cookbooks/cosmos3/reasoner/README.md
  • Lists Cosmos3-Edge in the TensorRT-LLM quickstart and notebook walkthrough.
• cookbooks/cosmos3/reasoner/run_with_tensorrt_llm.ipynb
  • Keeps the Nano and Super Docker cells on release:1.3.0rc22.
  • Adds an Edge cell that starts trtllm-serve nvidia/Cosmos3-Edge from the current environment and exits with a clear message when trtllm-serve is unavailable.
  • Updates the readiness cell to follow either the Docker container log or the Edge server log, and to ignore a missing Docker daemon when Edge is running outside Docker.

Testing

• Validated the notebook JSON and ran bash -n on every bash cell.
• Exercised the readiness cell locally with a stub /health server:
  • the Docker container path reaches ready;
  • the Edge process path reaches ready;
  • an exited Edge process fails instead of waiting until timeout.
• Ran the Edge server and readiness cells on one L40S with the nvidia/Cosmos3-Edge checkpoint, using a TensorRT-LLM environment that includes the Edge architecture.
  • trtllm-serve nvidia/Cosmos3-Edge --host 0.0.0.0 --port 8001 --max_num_tokens 32768 started successfully.
  • /health became ready.
  • /v1/models returned Cosmos3-Edge.
  • An OpenAI-compatible image request with assets/robot_153.jpg returned a non-empty caption.

The run used max_tokens=128 for the image request; the cookbook example keeps max_tokens=4096. Nano and Super launch commands are unchanged and were not rerun.