agg_router.yaml

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Frontend:
  served_model_name: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
  endpoint_completions: dynamo.Processor.completions
  endpoint_chat: dynamo.Processor.chat/completions
  port: 8000

Processor:
  engine_args: "configs/llm_api_config_router.yaml"
  router: kv
  ServiceArgs:
    workers: 5  # to reduce the tokenization bottleneck at a high concurrency

Router:
  model-name: deepseek-ai/DeepSeek-R1-Distill-Llama-8B
  min-workers: 1

TensorRTLLMWorker:
  engine_args: "configs/llm_api_config_router.yaml"
  router: kv
  ServiceArgs:
    workers: 1
    resources:
      gpu: 1