Add multi-language test harness and CI

.github/workflows/ci.yml

@@ -0,0 +1,21 @@
+name: CI
+
+on:
+  push:
+  pull_request:
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/checkout@v4
+      - uses: actions/setup-go@v5
+        with:
+          go-version: 'stable'
+      - uses: actions/setup-python@v5
+        with:
+          python-version: '3.x'
+      - name: Install Python dependencies
+        run: pip install pytest
+      - name: Run tests
+        run: make test

.gitignore

@@ -12,6 +12,7 @@ __pycache__/
 .env
 pytest_cache/
 .pytest_cache/
+*.pyc
 
 # Node
 node_modules/
@@ -28,6 +29,7 @@ target/
 
 # C++
 build/
+cpp/tests/simple_test
 
 # Coverage
 coverage/

Makefile

@@ -0,0 +1,12 @@
+.PHONY: test test-cpp test-go test-python
+
+test: test-cpp test-go test-python
+
+test-cpp:
+	$(MAKE) -C cpp test
+
+test-go:
+	$(MAKE) -C go test
+
+test-python:
+	$(MAKE) -C python test

README.md

@@ -1,36 +1,64 @@
 # MultixAI Protocol
 
-MultixAI is a next-generation transport protocol optimized for AI-driven applications, real-time audio/video streaming, and seamless interoperability with modern web meeting technologies (WebTransport, WebRTC, etc.).
+MultixAI is a unified, next-generation transport protocol for multiplexed AI, audio, and video streaming—optimized for real-time applications, AI-driven inference, and seamless interoperability with modern web technologies like WebRTC and WebTransport. Secure, extensible, and adapter-ready.
+
+---
 
 ## 🚀 Project Goals
 
-- **Unified Real-Time Streaming:** Efficiently handle AI inference, text, audio, and video streams over a single, multiplexed connection.
-- **AI-First Features:** Native support for streaming tokens, batch inference, and model metadata alongside media.
-- **Media Ready:** Low-latency audio/video streaming, adaptive bitrate, and live feedback.
-- **Flexible Communication:** Request/response, bidirectional, and streaming models.
+- **Unified Real-Time Streaming:** Efficient handling of AI inference, text, audio, and video over a single multiplexed connection.
+- **AI-First Features:** Native support for streaming tokens, batch inference, and model metadata.
+- **Media Ready:** Low-latency audio/video, adaptive bitrate, and live feedback.
+- **Flexible Communication:** Supports request/response, bidirectional, and streaming models.
 - **Interoperability:** Adapter services for WebRTC, WebTransport, and legacy protocols.
-- **Security by Design:** Encrypted and authenticated from the ground up.
-- **Extensibility:** Future-proof headers, easy codec/model upgrades, modern design.
+- **Security by Design:** Encrypted and authenticated at the protocol core.
+- **Extensibility:** Modern, future-proof headers for easy codec and model upgrades.
 
 ## 📦 Key Features
 
-- Multiplexed channels: AI, audio, video, control, and more over one secure connection.
-- Efficient packet/header format for minimal overhead, maximal flexibility.
-- Adapter architecture: Connect WebRTC/WebTransport to advanced AI features.
-- Designed for browsers, mobile, and backend use cases.
+- Multiplexed channels for AI, audio, video, and control data over one secure connection.
+- Efficient packet/header format to minimize overhead and maximize flexibility.
+- Adapter architecture for connecting WebRTC/WebTransport to advanced AI features.
+- Designed for browsers, mobile, and backend services.
 
 ## 🔗 Architecture
-```
+
 [WebRTC/WebTransport Client] <--> [Adapter Service] <--> [MultixAI Protocol & AI Services]
-                                 |
-                   [AI Inference, Transcription, Moderation, etc.]
-```
+|
+[AI Inference, Transcription, Moderation, etc.]
+
 
 ## 📚 Documentation
 
-- [RFC-like Protocol Specification](./RFC.md)
+- See [RFC-like Protocol Specification](./RFC.md)
+
+---
+
+## 🛠 Development Setup
+
+This repository contains multi-language components. To build and test, install the following toolchains:
+
+- **C++17** compiler (e.g., `g++`) and `make`
+- **Go 1.21+**
+- **Python 3.10+** with `pytest`
+
+## 🧪 Testing
+
+To run all language test suites:
+
+```sh
+make test
+make test-cpp
+make test-go
+make test-python
+
+```
+
 
-## 👷 Getting Started
+---
 
-*(Coming soon: Reference implementation in Rust/Go. Contributions welcome!)*
+**Instructions:**
+- Copy the above markdown and save it as `README.md` in your `canvas` folder (or any project root).
+- This file contains a unified project intro, goals, architecture, toolchain setup, and testing instructions.
 
+Let me know if you need any **customizations or additional sections**!

cpp/Makefile

@@ -0,0 +1,10 @@
+.PHONY: test clean
+
+test: tests/simple_test
+	./tests/simple_test
+
+tests/simple_test: tests/simple_test.cpp
+	g++ -std=c++17 tests/simple_test.cpp -o tests/simple_test
+
+clean:
+	rm -f tests/simple_test

cpp/tests/simple_test.cpp

@@ -0,0 +1,10 @@
+#include <cassert>
+
+int add(int a, int b) {
+    return a + b;
+}
+
+int main() {
+    assert(add(2, 2) == 4);
+    return 0;
+}

go/Makefile

@@ -0,0 +1,4 @@
+.PHONY: test
+
+test:
+	go test ./...

go/calculator.go

@@ -0,0 +1,5 @@
+package main
+
+func Add(a, b int) int {
+    return a + b
+}

go/calculator_test.go

@@ -0,0 +1,9 @@
+package main
+
+import "testing"
+
+func TestAdd(t *testing.T) {
+    if Add(2, 2) != 4 {
+        t.Fatalf("expected 4, got %d", Add(2, 2))
+    }
+}

go/go.mod

@@ -0,0 +1,3 @@
+module github.com/MultixAI/go
+
+go 1.21

python/Makefile

@@ -0,0 +1,4 @@
+.PHONY: test
+
+test:
+	pytest

python/calc.py

@@ -0,0 +1,2 @@
+def add(a, b):
+    return a + b

python/test_calc.py

@@ -0,0 +1,4 @@
+from calc import add
+
+def test_add():
+    assert add(2, 2) == 4