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Signed-off-by: Alec <35311602+alec-flowers@users.noreply.github.com>
Co-authored-by: ptarasiewiczNV <104908264+ptarasiewiczNV@users.noreply.github.com>
Co-authored-by: Hongkuan Zhou <tedzhouhk@gmail.com>

Signed-off-by: Yan Ru Pei <yanrpei@gmail.com>
Co-authored-by: Alec <35311602+alec-flowers@users.noreply.github.com>

Signed-off-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: Alec <35311602+alec-flowers@users.noreply.github.com>

  * Added a default temperature value for text generation requests when no temperature is specified.
  * Improved handling of missing configuration values to prevent errors during model initialization.

Move much of what was in the `dynamo-run` crate into `dynamo-llm` so that everyone can use it.

Example usage:

1. Create a `LocalModel`:

```
    let local_model = LocalModelBuilder::default()
	.model_path("Qwen/Qwen3-0.6B")
	.http_port(8080)
	.build().await?;
```

2. Make an engine:

```
    let engine_config = EngineConfig::StaticFull {
	engine: dynamo_engine_mistralrs::make_engine(&local_model).await?,
	model: Box::new(local_model),
    };
```

3. Connect it to an input and run it

```
    dynamo_llm::entrypoint::input::run_input(Input::Http, runtime, engine_config).await?;
```

For https://github.com/ai-dynamo/dynamo/issues/1647

Code Rabbit summary, thanks:
  * Introduced a flexible builder pattern for local model configuration, allowing advanced customization and easier initialization.
  * Added new input modes and unified input handling, supporting interactive chat, HTTP server, batch file, and distributed endpoint modes.
  * Centralized engine configuration and routing, enabling more extensible and maintainable engine management.
  * Simplified and modularized the codebase by moving input and engine logic into dedicated modules.
  * Replaced direct model construction with an asynchronous builder for improved clarity and extensibility.
  * Streamlined configuration and validation for flags and router settings.
  * Added validation to prevent incompatible input and output combinations in endpoint and dynamic modes.

feat: Unnormalize waiting requests + predictive load updates for Python router (mirroring Rust) + softmax sampling to reduce thrashing (#1638)

Signed-off-by: PeaBrane <yanrpei@gmail.com>
Signed-off-by: Yan Ru Pei <yanrpei@gmail.com>
Signed-off-by: jain-ria <riajain@NVIDIA.com>
Co-authored-by: coderabbitai[bot] <136622811+coderabbitai[bot]@users.noreply.github.com>
Co-authored-by: jain-ria <riajain@NVIDIA.com>

Signed-off-by: Kristen Kelleher <kkelleher@nvidia.com>
Co-authored-by: Ryan McCormick <rmccormick@nvidia.com>

Signed-off-by: Kristen Kelleher <kkelleher@nvidia.com>
- Content, format, and structural changes to the Dynamo docs for 0.3.0. 
- Includes copyediting and the first batch of changes from the DMO review.

It was confusing to have two names for one type.

This tidy up started in #1064 , is now complete.

- Add Granite to our tokenizer
- Fix pre-processor to load context length correctly
- Add strftime_now Jinja function for prompt templates
- Update llama.cpp
- Handle trtllm errors when not using trtllm

Support depends on the engine:

- `mistral.rs`, our default engine, doesn't support Granite yet.

- `llama.cpp` does and works very well:
```
dynamo-run out=llamacpp ~/llms/granite-3.3-2b-instruct-Q4_K_M.gguf --context-length 16384
```

- `vllm` also works very well:
```
dynamo-run in=http out=vllm ~/llms/granite-3.3-2b-instruct --context-length 16384
```

- `sglang` mostly works, but it doesn't catch the stop token, so we do in the HTTP ingress, and log an error. The Text ingress doesn't catch it because I disabled it to make the raw echo engine work. A bit of work to do here.

Closes: #1245