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    • Graham King's avatar
      chore(dynamo-run): Refactor to library (#1687) · 92f06b0e
      Graham King authored
      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.
      92f06b0e
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    • Graham King's avatar
      feat(dynamo-run): Allow setting KV cache block size (#1175) · 183f2b32
      Graham King authored
      Example:
      ```
      dynamo-run out=<engine> <model> --kv-cache-block-size 64
      ```
      
      In a distributed system this goes on the worker node and is propagated to ingress via the model deployment card.
      
      Previously hard coded to 16, which is now the default.
      
      - Load context_length from model. Closes #1172
      - Store context length and KV cache block size in Model Deployment Card #1170
      183f2b32
  28. 19 May, 2025 1 commit
    • Graham King's avatar
      feat: Support multiple models on single ingress node (#1127) · aeb79e62
      Graham King authored
      We can now do this:
      
      - Node 1:
      
      ```
      dynamo-run in=http out=dyn
      ```
      
      - Node 2 and 3, two instances of component 'backend' in the nemotron_ultra pipeline:
      
      ```
      dynamo-run in=dyn://nemotron_ultra.backend.generate out=vllm /data/models/NemotronUltra
      ```
      
      - Node 4 and 5, two instances of the 'backend' component in nemotron_super pipeline:
      
      ```
      dynamo-run in=dyn://nemotron_super.backend.generate out=vllm /data/models/NemotronSuper
      ```
      
      The ingress node will discover all four instances and route correctly. We have been planning for this for a long time now.
      
      As part of this auto-discovery is now always `out=dyn`, with no extra URL parts. Previously it could only route to a single pipeline.
      
      Also:
      - Refactor endpoint / instance naming now that I understand them
      - Fix removing models when their instance stops.
      aeb79e62
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