Update README.md

Author: pandyamarut

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 <h1>OpenAI Compatible Tensort-LLM Worker </h1>
+A high-performance inference server that combines the power of TensorRT-LLM for optimized model inference with RunPod's serverless infrastructure. This implementation provides an OpenAI-compatible API interface for easy integration with existing applications.
+
+## Features
+
+- TensorRT-LLM optimization for faster inference
+- OpenAI-compatible API endpoints
+- Flexible configuration through environment variables
+- Support for model parallelism (tensor and pipeline)
+- Hugging Face model integration
+- Streaming response support
+- RunPod serverless deployment ready
+
+### Runtime Constraints
+- Batch size and sequence length must be determined during engine building time
+- Dynamic shape support is limited and may impact performance
+- KV-cache size is fixed at build time and affects memory usage
+- Changing model parameters requires rebuilding the TensorRT engine
+
+### Build Time Impact
+- Engine building can take significant time (hours for large models)
+- Each combination of parameters requires a separate engine
+- Changes to maximum sequence length or batch size require rebuilding
+
+## Environment Variables
+
+The server can be configured using the following environment variables:
 
+```plaintext
+TRTLLM_MODEL              # Required: Path or name of the model to load
+TRTLLM_TOKENIZER          # Optional: Path or name of the tokenizer (defaults to model path)
+TRTLLM_MAX_BEAM_WIDTH     # Optional: Maximum beam width for beam search
+TRTLLM_MAX_BATCH_SIZE     # Optional: Maximum batch size for inference
+TRTLLM_MAX_NUM_TOKENS     # Optional: Maximum number of tokens to generate
+TRTLLM_MAX_SEQ_LEN        # Optional: Maximum sequence length
+TRTLLM_TP_SIZE            # Optional: Tensor parallelism size (default: 1)
+TRTLLM_PP_SIZE            # Optional: Pipeline parallelism size (default: 1)
+TRTLLM_KV_CACHE_FREE_GPU_MEMORY_FRACTION  # Optional: GPU memory fraction for KV cache (default: 0.9)
+TRTLLM_TRUST_REMOTE_CODE  # Optional: Whether to trust remote code (default: false)
+HF_TOKEN                  # Optional: Hugging Face API token for protected models