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Part of https://github.com/ai-dynamo/dynamo/issues/743

The build script currently fails on macOS due to an incompatible Bash version. This PR adds a version check to ensure the correct Bash version is being used before proceeding.

Closes GitHub issue: https://github.com/ai-dynamo/dynamo/issues/318

Allow `hf://` prefix on command line. 

Closes GitHub issue: https://github.com/ai-dynamo/dynamo/issues/829

Signed-off-by: hhzhang16 <54051230+hhzhang16@users.noreply.github.com>
Co-authored-by: mohammedabdulwahhab <furkhan324@berkeley.edu>

Signed-off-by: mohammedabdulwahhab <furkhan324@berkeley.edu>
Co-authored-by: hhzhang16 <54051230+hhzhang16@users.noreply.github.com>

Signed-off-by: wxsm <wxsms@foxmail.com>
Co-authored-by: ptarasiewiczNV <104908264+ptarasiewiczNV@users.noreply.github.com>

Adds support for specifying default request parameters through a json template file that can be applied across all inference requests. This enables consistent parameter settings while still allowing per-request overrides.

Changes:
- Add --request-template CLI flag to specify template file path
- Integrate template support in HTTP, batch and text input modes
- Template values can be overridden by individual request parameters
- Example template.json:
```
{
    "model": "Qwen2.5-3B-Instruct",
    "temperature": 0.7,
    "max_completion_tokens": 4096
}
```

In a distributed system we don't know if the remote workers need pre-processing done ingress-side or not. Previously Client required us to decide this before discovering the remote endpoints, which was fine because pre-processing was worker-side.

As part of moving pre-processing back to ingress-side we need to split this into two steps:
- Client discovers the endpoints, and (later PR) will fetch their Model Deployment Card.
- PushRouter will use the Model Deployment Card to decide if they need pre-processing or not, which affects the types of the generic parameters.

Part of #743

This reverts commit b5f3fe10.

refactor: change trtllm example kv routing use python bindings | deal with trtllm partial blocks | trtllm event change (#866)

We were observing a 40% performance drop compared with trtllm serve when benchmarking with isl=1000 and osl=200 at a concurrency level > 128.

The number of the tokenization worker is the bottleneck. After bumping the tokenization processors number to 5, dynamo's benchmarking perf could match the trtllm serve's perf.

Co-authored-by: ishandhanani <82981111+ishandhanani@users.noreply.github.com>

Signed-off-by: Olga Andreeva <124622579+oandreeva-nv@users.noreply.github.com>

Signed-off-by: Hongkuan Zhou <tedzhouhk@gmail.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>