update GA

.github/workflows/on-push.yml

@@ -14,5 +14,5 @@ permissions:
 
 jobs:
   security-checks:
-    uses: ./.github/workflows/run-security-checks.yml
+    uses: ./.github/workflows/ts-run-security-checks.yml
     secrets: inherit

.github/workflows/py-run-tests.yml

@@ -0,0 +1,45 @@
+name: Run Python tests
+
+on:
+  push:
+    branches:
+      - main
+    paths:
+      - 'python/**'
+  pull_request:
+    types:
+      - opened
+      - edited
+
+permissions:
+  contents: read
+
+jobs:
+  test:
+    runs-on: ubuntu-latest
+    defaults:
+      run:
+        working-directory: python
+
+    steps:
+    - name: Checkout repository
+      uses: actions/checkout@v3
+
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.x'
+
+    - name: Create and activate virtual environment
+      run: |
+        python -m venv .venv
+        source .venv/bin/activate
+
+    - name: Install dependencies
+      run: |
+        pip install --upgrade pip
+        pip install -r test_requirements.txt
+
+    - name: Run tests
+      run: |
+        python -m pytest src/tests/

.github/workflows/run-lint.yml → .github/workflows/ts-run-lint.yml

@@ -4,6 +4,8 @@ on:
   push:
     branches:
       - main
+    paths:
+      - 'typescript/**'
   pull_request:
     types:
       - opened

.github/workflows/run-tests.yml → .github/workflows/ts-run-tests.yml

@@ -3,6 +3,8 @@ on:
   push:
     branches:
       - main
+    paths:
+      - 'typescript/**'
   pull_request:
     types:
       - opened
@@ -18,6 +20,7 @@ jobs:
     steps:
       - name: Checkout repository
         uses: actions/checkout@b4ffde65f46336ab88eb53be808477a3936bae11
+
       - name: Link Checker
         uses: lycheeverse/lychee-action@c053181aa0c3d17606addfe97a9075a32723548a
         with:

README.md

@@ -65,13 +65,15 @@ The demo highlights the system's ability to handle complex, multi-turn conversat
 
 Check out our [documentation](https://awslabs.github.io/multi-agent-orchestrator/) for comprehensive guides on setting up and using the Multi-Agent Orchestrator!
 
-### Quick Install
+### TypeScript Version
+
+#### Installation
 
 ```bash
 npm install multi-agent-orchestrator
 ```
 
-### Usage
+#### Usage
 
 The following example demonstrates how to use the Multi-Agent Orchestrator with two different types of agents: a Bedrock LLM Agent with Converse API support and a Lex Bot Agent. This showcases the flexibility of the system in integrating various AI services.