Adding Python+Bedrock example?

Start by comparing the existing Rust function example with the repository structure and Dockerfile approach described in the issue. Determine where a side-by-side Python containerized Lambda example would belong and verify the example using the referenced aws-otel-python-instrumentation layer.zip; done means the Python example is published alongside the Rust example and demonstrates the requested tracing setup.

Hi folks, and thanks for your work on this repo!

My team recently spent some time getting OTel-based X-Ray tracing working for a Python-based containerized Lambda function for a customer.

We arrived at a slightly different solution from the one shown here, directly copying+installing the layer from https://github.com/aws-observability/aws-otel-python-instrumentation/releases/latest/download/layer.zip in the Dockerfile, rather than bringing in the Collector extension only.

I thought it might be interesting to publish the example here alongside your existing Rust function, because I see quite a few AI engineers working with container-based Lambdas in Python - since popular packages like LangChain/LangGraph often push them over the size limit for regular runtime-based Lambda functions.

If you'd be interested, maybe we could propose a PR to put the Rust & Python examples side-by-side in this repo?