• Step 1 (Application Development)

Using FastAPI and LangChain, build an API that accepts a question about company HR policy. The backend will use a pre-defined text document as its context and call a cloud LLM API (like Azure OpenAI) to answer the question based only on that context.

• Step 2 (Secure Secrets Management)

Store the LLM API key securely. Do not hardcode it. The application must be configured to read the key from an environment variable.

• Step 3 (Containerization)

Write a Dockerfile to containerize the FastAPI application. Ensure it runs correctly on your local machine with Docker.

• Step 4 (Image Registry)

Build the Docker image and push it to a container registry like Docker Hub or Google Container Registry.

• Step 5 (Cloud Deployment)

Deploy the container image to a PaaS provider (e.g., Google Cloud Run). Configure the required environment variables (for the API key) in the cloud platform's interface.

• Step 6 (Validation & Showcase)