Add advanced CrewAI sample with multi-agent workflow

samples/crew-django-advanced/.devcontainer/Dockerfile

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+FROM mcr.microsoft.com/devcontainers/python:3.12-bookworm

samples/crew-django-advanced/.devcontainer/devcontainer.json

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+{
+  "build": {
+    "dockerfile": "Dockerfile",
+    "context": ".."
+  },
+  "features": {
+    "ghcr.io/defanglabs/devcontainer-feature/defang-cli:1.0.4": {},
+    "ghcr.io/devcontainers/features/docker-in-docker:2": {},
+    "ghcr.io/devcontainers/features/aws-cli:1": {}
+  }
+}

samples/crew-django-advanced/.github/workflows/deploy.yaml

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+name: Deploy
+
+on:
+  push:
+    branches:
+      - main
+
+jobs:
+  deploy:
+    environment: playground
+    runs-on: ubuntu-latest
+    permissions:
+      contents: read
+      id-token: write
+
+    steps:
+    - name: Checkout Repo
+      uses: actions/checkout@v4
+
+    - name: Deploy
+      uses: DefangLabs/[email protected]
+      with:
+        config-env-vars: DJANGO_SECRET_KEY POSTGRES_PASSWORD SSL_MODE
+      env:
+        DJANGO_SECRET_KEY: ${{ secrets.DJANGO_SECRET_KEY }}
+        POSTGRES_PASSWORD: ${{ secrets.POSTGRES_PASSWORD }}
+        SSL_MODE: ${{ secrets.SSL_MODE }}

samples/crew-django-advanced/.gitignore

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+# Python
+__pycache__/
+*.pyc
+*.pyo
+*.pyd
+.Python
+env/
+venv/
+ENV/
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+*.egg-info/
+.installed.cfg
+*.egg
+
+# Django
+*.log
+staticfiles/
+media/
+db.sqlite3
+
+# Node
+node_modules/
+.next/
+.env
+
+# Docker
+pgdata/

samples/crew-django-advanced/README.md

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+# Crew.ai Advanced Django Sample
+
+[![1-click-deploy](https://raw.githubusercontent.com/DefangLabs/defang-assets/main/Logos/Buttons/SVG/deploy-with-defang.svg)](https://portal.defang.dev/redirect?url=https%3A%2F%2Fgithub.com%2Fnew%3Ftemplate_name%3Dsample-crew-django-redis-postgres-template%26template_owner%3DDefangSamples)
+
+This sample builds upon the basic CrewAI example and demonstrates a
+multi-agent workflow.  A lightweight classifier determines whether the user is
+requesting a summary, a deeper research answer or a translation.  Depending on
+the decision different agents – powered by multiple LLM sizes – are executed
+and the progress is streamed back to the browser using Django Channels.
+
+## Prerequisites
+
+1. Download [Defang CLI](https://github.com/DefangLabs/defang)
+2. (Optional) If you are using [Defang BYOC](https://docs.defang.io/docs/concepts/defang-byoc) authenticate with your cloud provider account
+3. (Optional for local development) [Docker CLI](https://docs.docker.com/engine/install/)
+
+## Development
+
+To run the application locally, you can use the following command:
+
+```bash
+docker compose -f ./compose.local.yaml up --build
+```
+
+## Configuration
+
+For this sample, you will need to provide the following [configuration](https://docs.defang.io/docs/concepts/configuration): 
+
+> Note that if you are using the 1-click deploy option, you can set these values as secrets in your GitHub repository and the action will automatically deploy them for you.
+
+### `POSTGRES_PASSWORD`     
+The password for the Postgres database.
+```bash
+defang config set POSTGRES_PASSWORD
+```
+
+### `SSL_MODE`
+
+The SSL mode for the Postgres database.
+```bash
+defang config set SSL_MODE
+```
+
+### `DJANGO_SECRET_KEY`
+
+The secret key for the Django application.
+```bash
+defang config set DJANGO_SECRET_KEY
+```
+
+### LLM configuration
+
+Three different LLM endpoints are used to demonstrate branching.  Configure them via:
+
+```bash
+defang config set SMALL_LLM_URL
+defang config set SMALL_LLM_MODEL
+defang config set MEDIUM_LLM_URL
+defang config set MEDIUM_LLM_MODEL
+defang config set LARGE_LLM_URL
+defang config set LARGE_LLM_MODEL
+```
+
+In addition the embedding model is configured with `EMBEDDING_URL` and `EMBEDDING_MODEL`.
+
+## Deployment
+
+> [!NOTE]
+> Download [Defang CLI](https://github.com/DefangLabs/defang)
+
+### Defang Playground
+
+Deploy your application to the Defang Playground by opening up your terminal and typing:
+```bash
+defang compose up
+```
+
+### BYOC
+
+If you want to deploy to your own cloud account, you can [use Defang BYOC](https://docs.defang.io/docs/tutorials/deploy-to-your-cloud).
+
+---
+
+Title: Crew.ai Advanced Django Sample
+
+Short Description: Demonstrates branching CrewAI workflows with multiple LLM sizes to handle summarisation, research and translation requests.
+
+Tags: Django, Celery, Redis, Postgres, AI, ML, CrewAI
+
+Languages: Python

samples/crew-django-advanced/app/.dockerignore

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+# Default .dockerignore file for Defang
+**/__pycache__
+**/.direnv
+**/.DS_Store
+**/.envrc
+**/.git
+**/.github
+**/.idea
+**/.next
+**/.vscode
+**/compose.*.yaml
+**/compose.*.yml
+**/compose.yaml
+**/compose.yml
+**/docker-compose.*.yaml
+**/docker-compose.*.yml
+**/docker-compose.yaml
+**/docker-compose.yml
+**/node_modules
+**/Thumbs.db
+Dockerfile
+*.Dockerfile
+# Ignore our own binary, but only in the root to avoid ignoring subfolders
+defang
+defang.exe
+# Ignore our project-level state
+.defang

samples/crew-django-advanced/app/Dockerfile

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+# Dockerfile for Django API/Worker
+FROM python:3.11-slim
+
+# install curl
+RUN apt-get update && apt-get install -y curl \
+    && rm -rf /var/lib/apt/lists/*
+
+ENV PYTHONDONTWRITEBYTECODE 1
+ENV PYTHONUNBUFFERED 1
+WORKDIR /app
+
+COPY requirements.txt ./
+RUN pip install --upgrade pip && pip install -r requirements.txt
+
+COPY . .
+
+RUN python manage.py collectstatic --noinput
+
+RUN chmod +x run.sh
+
+CMD ["./run.sh"]

samples/crew-django-advanced/app/config/__init__.py

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+from .celery import app as celery_app
+
+__all__ = ("celery_app",)

samples/crew-django-advanced/app/config/asgi.py

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+"""
+ASGI config for config project.
+
+It exposes the ASGI callable as a module-level variable named ``application``.
+
+For more information on this file, see
+https://docs.djangoproject.com/en/5.1/howto/deployment/asgi/
+"""
+
+import os
+
+from channels.routing import ProtocolTypeRouter, URLRouter
+from django.core.asgi import get_asgi_application
+from channels.auth import AuthMiddlewareStack
+import os
+
+os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'config.settings')
+
+import core.routing
+
+application = ProtocolTypeRouter({
+    "http": get_asgi_application(),
+    "websocket": AuthMiddlewareStack(
+        URLRouter(
+            core.routing.websocket_urlpatterns
+        )
+    ),
+})

samples/crew-django-advanced/app/config/celery.py

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+import os
+from celery import Celery
+
+os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings")
+
+app = Celery("config")
+app.config_from_object("django.conf:settings", namespace="CELERY")
+app.autodiscover_tasks()