chore: import upstream snapshot with attribution

examples/python/sample_mlc_engine.py

@@ -0,0 +1,19 @@
+"""MLC Engine Python example."""
+
+from mlc_llm import MLCEngine
+
+# Create engine
+model = "HF://mlc-ai/Llama-3-8B-Instruct-q4f16_1-MLC"
+engine = MLCEngine(model)
+
+# Run chat completion in OpenAI API.
+for response in engine.chat.completions.create(
+    messages=[{"role": "user", "content": "What is the meaning of life?"}],
+    model=model,
+    stream=True,
+):
+    for choice in response.choices:
+        print(choice.delta.content, end="", flush=True)
+print("\n")
+
+engine.terminate()