GitLab

Co-authored-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>

Co-authored-by: Harrison Saturley-Hall <454891+saturley-hall@users.noreply.github.com>
Co-authored-by: Harrison King Saturley-Hall <hsaturleyhal@nvidia.com>

Signed-off-by: Hongkuan Zhou <tedzhouhk@gmail.com>
Co-authored-by: hongkuan <hongkuanz@nvidia.com>
Co-authored-by: Piotr Tarasiewicz <ptarasiewicz@nvidia.com>
Co-authored-by: Piotr Tarasiewicz Nvidia <ptarasiewicznv@Piotrs-MacBook-Pro.local>
Co-authored-by: alec-flowers <aflowers@nvidia.com>
Co-authored-by: Neelay Shah <neelays@nvidia.com>

Co-authored-by: Biswa Panda <biswa.panda@gmail.com>

Instead of using `out=pystr:<my.py>` we can now do this:
```
dynemo-run out=pytok:/home/graham/my_python_engine.py --model-path <hf-repo-checkout>
```

That engine will receive and respond with tokens. Here's an example engine file:
```
import asyncio

async def generate(request):
    yield {"token_ids":[791]}
    await asyncio.sleep(0.1)
    yield {"token_ids":[6864]}
    await asyncio.sleep(0.1)
    yield {"token_ids":[315]}
    await asyncio.sleep(0.1)
    yield {"token_ids":[9822]}
    await asyncio.sleep(0.1)
    yield {"token_ids":[374]}
    await asyncio.sleep(0.1)
    yield {"token_ids":[12366]}
    await asyncio.sleep(0.1)
    yield {"token_ids":[13]}
```

Also reduce duplication by making the bindings engine use the llm lib engine.

Co-authored-by: Graham King <grahamk@nvidia.com>

Co-authored-by: hongkuanz <hongkuanz@nvidia.com>
Co-authored-by: Piotr Tarasiewicz <ptarasiewicz@nvidia.com>
Co-authored-by: Piotr Tarasiewicz Nvidia <ptarasiewicznv@Piotrs-MacBook-Pro.local>
Co-authored-by: Neelay Shah <neelays@ipp2-0493.ipp2u1.colossus.nvidia.com>
Co-authored-by: Neelay Shah <neelays@ipp1-1941.ipp1a1.colossus.nvidia.com>
Co-authored-by: ishandhanani <ishandhanani@gmail.com>
Co-authored-by: Neelay Shah <neelays@4u8g-gen-0078.ipp3a2.colossus.nvidia.com>
Co-authored-by: ptarasiewiczNV <104908264+ptarasiewiczNV@users.noreply.github.com>

`cargo build --locked` won't let you use "1.85.0" if you only have "stable" installed, even if those are the same thing right now.

Engine, `tio` support and docs.

Proof of concept / experimental.

Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

Co-authored-by: Graham King <grahamk@nvidia.com>

- Setup venv

```
uv venv
source .venv/bin/activate
uv pip install pip
uv pip install sgl-kernel --force-reinstall --no-deps
uv pip install "sglang[all]==0.4.2" --find-links https://flashinfer.ai/whl/cu124/torch2.4/flashinfer/
```

- Build: `cargo build --release --features sglang`

- Run single node (make sure you're in the venv): `./tio out=sglang ~/llm_models/my_model`

- Run Deepseek multi-gpu / multi-node:

Node 1:
```
tio in=http out=sglang --model-path ~/llm_models/DeepSeek-R1-Distill-Llama-70B/ --tensor-parallel-size 8 --num-nodes 2 --node-rank 0 --dist-init-addr 10.217.98.122:9876
```

Node 2:
```
tio in=none out=sglang --model-path ~/llm_models/DeepSeek-R1-Distill-Llama-70B/ --tensor-parallel-size 8 --num-nodes 2 --node-rank 1 --dist-init-addr 10.217.98.122:9876
```

Co-authored-by: aflowers <aflowers@nvidia.com>

Signed-off-by: Meenakshi Sharma <163925564+nvda-mesharma@users.noreply.github.com>
Signed-off-by: Neelay Shah <neelays@nvidia.com>
Co-authored-by: Neelay Shah <neelays@nvidia.com>
Co-authored-by: Ryan Olson <ryanolson@users.noreply.github.com>
Co-authored-by: Meenakshi Sharma <163925564+nvda-mesharma@users.noreply.github.com>
Co-authored-by: Biswa Panda <biswapanda@users.noreply.github.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

Signed-off-by: Ryan McCormick <rmccormick@nvidia.com>

Signed-off-by: Neelay Shah <neelays@nvidia.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>