fix: improve Dockerfiles and document Docker Desktop AI integration

go-genai/Dockerfile

@@ -23,6 +23,9 @@ FROM alpine:3.18
 
 WORKDIR /app
 
+# Install curl for healthcheck
+RUN apk add --no-cache curl
+
 # Create non-root user
 RUN adduser -D -g '' nomadicmehul
 
@@ -39,12 +42,12 @@ RUN chown -R nomadicmehul:nomadicmehul /app
 # Switch to non-root user
 USER nomadicmehul
 
-# Expose port 8080
+# Expose port
 EXPOSE 8080
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
-  CMD wget -qO- http://localhost:8080/health || exit 1
+  CMD curl -f http://localhost:8080/health || exit 1
 
 # Run the application
 CMD ["./main"]

go-genai/README.md

@@ -17,11 +17,18 @@ A Go-powered GenAI app you can run locally using your favorite LLM — just foll
 
 ## Environment Variables
 
+### Docker Desktop AI Integration (Recommended)
+When using Docker Desktop with AI models:
+- `LLAMA_URL`: Automatically injected by Docker Desktop (AI model endpoint)
+- `LLAMA_MODEL`: Automatically injected by Docker Desktop (model name)
 - `PORT`: The port to run the server on (default: 8080)
-- `LLM_BASE_URL`: The base URL of the LLM API (required)
-- `LLM_MODEL_NAME`: The model name to use for API requests (required)
 - `LOG_LEVEL`: The logging level (default: INFO)
 
+### Legacy Configuration
+For custom LLM endpoints:
+- `LLM_BASE_URL`: The base URL of the LLM API (fallback if LLAMA_URL not set)
+- `LLM_MODEL_NAME`: The model name to use (fallback if LLAMA_MODEL not set)
+
 ## API Endpoints
 
 - `GET /`: Main chat interface

py-genai/Dockerfile

@@ -10,6 +10,9 @@ FROM python:3.11-slim
 
 WORKDIR /app
 
+# Install curl for healthcheck
+RUN apt-get update && apt-get install -y curl && rm -rf /var/lib/apt/lists/*
+
 # Create non-root user
 RUN adduser --disabled-password --gecos "" nomadicmehul
 
@@ -28,16 +31,17 @@ COPY static/ static/
 # Switch to non-root user
 USER nomadicmehul
 
-# Expose port 8081 (matching docker-compose.yml)
-EXPOSE 8081
+# Expose port 8080
+EXPOSE 8080
 
 # Set environment variables
 ENV PYTHONDONTWRITEBYTECODE=1 \
-    PYTHONUNBUFFERED=1
+    PYTHONUNBUFFERED=1 \
+    PORT=8080
 
 # Health check
 HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
-  CMD curl -f http://localhost:8081/health || exit 1
+  CMD curl -f http://localhost:8080/health || exit 1
 
 # Run the application
 CMD ["python", "app.py"]

py-genai/README.md

@@ -6,11 +6,18 @@ A Python-powered GenAI app you can run locally using your favorite LLM — just
 
 The application uses the following environment variables:
 
-- `LLM_BASE_URL`: The base URL of the LLM API
-- `LLM_MODEL_NAME`: The model name to use
-- `PORT`: The port to run the application on (default: 8081)
-- `DEBUG`: Set to "true" to enable debug mode (default: "false")
+### Docker Desktop AI Integration (Recommended)
+When using Docker Desktop with AI models:
+- `LLAMA_URL`: Automatically injected by Docker Desktop (AI model endpoint)
+- `LLAMA_MODEL`: Automatically injected by Docker Desktop (model name)
+- `PORT`: The port to run the application on (default: 8081 for local, 8080 in Docker)
 - `LOG_LEVEL`: Set the logging level (default: "INFO")
+- `DEBUG`: Set to "true" to enable debug mode (default: "false")
+
+### Legacy Configuration
+For custom LLM endpoints:
+- `LLM_BASE_URL`: The base URL of the LLM API (fallback if LLAMA_URL not set)
+- `LLM_MODEL_NAME`: The model name to use (fallback if LLAMA_MODEL not set)
 
 ## API Endpoints
 

rust-genai/Dockerfile

@@ -20,8 +20,8 @@ RUN useradd -m nomadicmehul
 COPY --from=builder /usr/src/rust-genai/rust-genai/target/release/rust-genai .
 COPY static/ ./static/
 COPY templates/ ./templates/
-EXPOSE 8083
+EXPOSE 8080
 USER nomadicmehul
 HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
-  CMD curl -f http://localhost:8083/health || exit 1
+  CMD curl -f http://localhost:${PORT:-8080}/health || exit 1
 CMD ["./rust-genai"]

rust-genai/INSTRUCTIONS.md

@@ -21,8 +21,9 @@ cargo run
 ```bash
 docker build -t rust-genai .
 docker run -p 8083:8083 \
-  -e LLM_BASE_URL=http://your-llm-api \
-  -e LLM_MODEL_NAME=your-model \
+  -e PORT=8083 \
+  -e LLAMA_URL=http://your-llm-api \
+  -e LLAMA_MODEL=your-model \
   rust-genai
 ```
 
@@ -38,8 +39,10 @@ docker run -p 8083:8083 \
 ## 4. Configuration
 - Edit `.env` or set environment variables:
   - `PORT` (default: 8083)
-  - `LLM_BASE_URL` (required)
-  - `LLM_MODEL_NAME` (required)
+  - `LLAMA_URL` (recommended, injected by Docker Desktop AI)
+  - `LLAMA_MODEL` (recommended, injected by Docker Desktop AI)
+  - `LLM_BASE_URL` (legacy fallback)
+  - `LLM_MODEL_NAME` (legacy fallback)
   - `LOG_LEVEL` (default: info)
 
 ## 5. Notes

rust-genai/README.md

@@ -3,10 +3,18 @@
 This is a Rust implementation of the Hello-GenAI application.
 
 ## Environment Variables
-- `PORT`: The port to run the server on (default: 8083)
-- `LLM_BASE_URL`: The base URL of the LLM API (required)
-- `LLM_MODEL_NAME`: The model name to use for API requests (required)
-- `LOG_LEVEL`: The logging level (default: INFO)
+
+### Docker Desktop AI Integration (Recommended)
+When using Docker Desktop with AI models:
+- `LLAMA_URL`: Automatically injected by Docker Desktop (AI model endpoint)
+- `LLAMA_MODEL`: Automatically injected by Docker Desktop (model name)
+- `PORT`: The port to run the server on (default: 8083 for local, 8080 in Docker)
+- `LOG_LEVEL`: The logging level (default: info)
+
+### Legacy Configuration
+For custom LLM endpoints:
+- `LLM_BASE_URL`: The base URL of the LLM API (fallback if LLAMA_URL not set)
+- `LLM_MODEL_NAME`: The model name to use (fallback if LLAMA_MODEL not set)
 
 ## API Endpoints
 - `GET /`: Main chat interface