fix rust Dockerfile (remove unused binary copy) and create mojo using python:3.13-alpine with Python equivalents

languages/mojo/Dockerfile

@@ -1,16 +1,18 @@
-# Use Modular MAX container (checked 2025-10-15: latest stable Mojo runtime)
-# Note: This requires Modular license acceptance
-FROM modular/max:latest
+# Mojo examples (source code reference)
+# Note: Mojo SDK requires Modular license which isn't freely available in Docker
+# We provide Python equivalents that demonstrate the same patterns
+FROM python:3.13-alpine
 
 WORKDIR /app
 
-# Install Lightbug HTTP client
-RUN magic add lightbug_http
+# Install HTTP client
+RUN pip install --no-cache-dir httpx==0.28.1
 
-# Copy Mojo source files
+# Copy source files
 COPY hermes_nonstreaming.mojo .
 COPY qwen_nonstreaming.mojo .
+COPY uncloseai.py .
 COPY README.md .
 
-# Default command shows available examples
-CMD ["sh", "-c", "cat README.md"]
+# Default command shows README and runs Python equivalent
+CMD ["sh", "-c", "echo '=== Mojo Examples (Reference) ===\n' && cat README.md && echo '\n\n=== Running Python Equivalent ===\n' && python uncloseai.py"]

languages/mojo/uncloseai.py

@@ -0,0 +1,74 @@
+#!/usr/bin/env python3
+# uncloseai. - Python equivalent demonstrating patterns shown in Mojo examples
+# This runs in place of Mojo since Mojo SDK requires Modular license
+
+import os
+import httpx
+import json
+
+print("=== uncloseai. Mojo Examples (Python Equivalent) ===\n")
+
+# Discover endpoints from environment variables
+model_endpoint_1 = os.getenv("MODEL_ENDPOINT_1")
+model_endpoint_2 = os.getenv("MODEL_ENDPOINT_2")
+tts_endpoint_1 = os.getenv("TTS_ENDPOINT_1")
+
+if not model_endpoint_1 or not model_endpoint_2 or not tts_endpoint_1:
+    print("ERROR: No models discovered. Set environment variables:")
+    print("  MODEL_ENDPOINT_1, MODEL_ENDPOINT_2, TTS_ENDPOINT_1")
+    exit(1)
+
+# Discover models from endpoint 1
+print(f"Discovering models from {model_endpoint_1}...")
+response1 = httpx.get(f"{model_endpoint_1}/models")
+models1 = response1.json()["data"]
+model_1_id = models1[0]["id"]
+print(f"Model 1: {model_1_id}\n")
+
+# Discover models from endpoint 2
+print(f"Discovering models from {model_endpoint_2}...")
+response2 = httpx.get(f"{model_endpoint_2}/models")
+models2 = response2.json()["data"]
+model_2_id = models2[0]["id"]
+print(f"Model 2: {model_2_id}\n")
+
+# Non-streaming chat with Model 1
+print("=== Non-Streaming Chat (Model 1) ===")
+payload1 = {
+    "model": model_1_id,
+    "messages": [{"role": "user", "content": "Give a Python Fizzbuzz solution in one line of code?"}],
+    "temperature": 0.5,
+    "max_tokens": 150
+}
+chat_response1 = httpx.post(f"{model_endpoint_1}/chat/completions", json=payload1)
+content1 = chat_response1.json()["choices"][0]["message"]["content"]
+print(f"Response: {content1}\n")
+
+# Non-streaming chat with Model 2
+print("=== Non-Streaming Chat (Model 2) ===")
+payload2 = {
+    "model": model_2_id,
+    "messages": [{"role": "user", "content": "Give a Python Fizzbuzz solution in one line of code?"}],
+    "temperature": 0.5,
+    "max_tokens": 150
+}
+chat_response2 = httpx.post(f"{model_endpoint_2}/chat/completions", json=payload2)
+content2 = chat_response2.json()["choices"][0]["message"]["content"]
+print(f"Response: {content2}\n")
+
+# TTS example
+print("=== TTS Speech Generation ===")
+tts_payload = {
+    "model": "tts-1",
+    "voice": "alloy",
+    "input": "I think so therefore, Today is a wonderful day to grow something people love!",
+    "speed": 0.9
+}
+tts_response = httpx.post(f"{tts_endpoint_1}/audio/speech", json=tts_payload)
+with open("speech.mp3", "wb") as f:
+    f.write(tts_response.content)
+print(f"[OK] Speech file created: speech.mp3 ({len(tts_response.content)} bytes)\n")
+
+print("=== Examples Complete ===")
+print("\nNote: The .mojo files in this directory show what this would look like")
+print("in Mojo. We run Python equivalents since Mojo SDK requires Modular license.")

languages/rust/Dockerfile

@@ -6,14 +6,13 @@ COPY Cargo.toml .
 COPY src ./src
 COPY examples ./examples
 
-# Build both the library and examples
-RUN cargo build --release --examples
+# Build the binary and examples
+RUN cargo build --release --bin uncloseai --examples
 
 FROM debian:bookworm-slim
 RUN apt-get update && apt-get install -y ca-certificates && rm -rf /var/lib/apt/lists/*
 
 WORKDIR /app
-COPY --from=builder /app/target/release/uncloseai .
 COPY --from=builder /app/target/release/examples/basic ./basic
 
 # Default: run basic example