بنقرة واحدة
deploy-agent
Deploy Bindu agents to various environments with safety checks and verification
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
القائمة
Deploy Bindu agents to various environments with safety checks and verification
التثبيت باستخدام Codex أو Claude انسخ هذا Prompt والصقه في Codex أو Claude أو مساعد آخر ليراجع صفحة Skill ويثبّتها لك.
استنادا إلى تصنيف SOC المهني
Add a new self-contained example agent under examples/. Use when asked to "create an example for <framework>", "add a tutorial agent", "demo integration with <LLM provider>", or when showcasing a new pattern users should copy.
Diagnose gRPC connection issues between the Bindu core and a language SDK. Use when an SDK fails to register, HandleMessages calls time out, "connection refused" on :3774, heartbeats stop arriving, or the core logs "agent silently died".
Regenerate Python + TypeScript gRPC stubs after editing proto files. Use when proto/*.proto changes, imports from bindu.grpc.generated fail, CI reports generated-code drift, or HandleMessages calls fail with proto mismatch.
Create releases with proper versioning, release notes, and Git tags
Test pull requests with comprehensive validation and generate structured test results
| name | deploy-agent |
| description | Deploy Bindu agents to various environments with safety checks and verification |
Deploy a Bindu agent to a target environment (local, staging, production) with comprehensive safety checks.
# Check environment
ENVIRONMENT=$1
if [ -z "$ENVIRONMENT" ]; then
echo "Error: Environment required (local, staging, production)"
exit 1
fi
# Validate tests pass
echo "==> Running tests..."
uv run pytest || { echo "❌ Tests failed"; exit 1; }
# Validate pre-commit hooks
echo "==> Running pre-commit hooks..."
uv run pre-commit run --all-files || { echo "❌ Pre-commit hooks failed"; exit 1; }
# Check for uncommitted changes
if [ -n "$(git status --porcelain)" ]; then
echo "⚠️ Warning: Uncommitted changes detected"
read -p "Continue anyway? (y/n) " -n 1 -r
echo
if [[ ! $REPLY =~ ^[Yy]$ ]]; then
exit 1
fi
fi
# Load environment-specific config
case $ENVIRONMENT in
local)
export STORAGE_BACKEND=memory
export SCHEDULER_BACKEND=memory
export PORT=3773
;;
staging)
export STORAGE_BACKEND=postgres
export SCHEDULER_BACKEND=redis
export DATABASE_URL=$STAGING_DATABASE_URL
export REDIS_URL=$STAGING_REDIS_URL
export PORT=3773
;;
production)
export STORAGE_BACKEND=postgres
export SCHEDULER_BACKEND=redis
export DATABASE_URL=$PROD_DATABASE_URL
export REDIS_URL=$PROD_REDIS_URL
export PORT=8080
;;
*)
echo "Error: Unknown environment $ENVIRONMENT"
exit 1
;;
esac
# Verify required variables
required_vars=("STORAGE_BACKEND" "SCHEDULER_BACKEND")
for var in "${required_vars[@]}"; do
if [ -z "${!var}" ]; then
echo "Error: $var not set"
exit 1
fi
done
# Run migrations for postgres backend
if [ "$STORAGE_BACKEND" = "postgres" ]; then
echo "==> Running database migrations..."
# Check current migration
CURRENT=$(uv run alembic current 2>&1)
echo "Current migration: $CURRENT"
# Upgrade to head
uv run alembic upgrade head || { echo "❌ Migration failed"; exit 1; }
# Verify migration
NEW_CURRENT=$(uv run alembic current 2>&1)
echo "New migration: $NEW_CURRENT"
fi
# Local deployment
if [ "$ENVIRONMENT" = "local" ]; then
echo "==> Starting local agent with tunnel..."
uv run bindu serve --launch &
AGENT_PID=$!
echo "Agent PID: $AGENT_PID"
sleep 5
fi
# Staging/Production deployment
if [ "$ENVIRONMENT" != "local" ]; then
echo "==> Deploying to $ENVIRONMENT..."
# Docker deployment
if command -v docker &> /dev/null; then
# Build image
docker build -t bindu-agent:$ENVIRONMENT .
# Stop old container
docker stop bindu-agent-$ENVIRONMENT 2>/dev/null || true
docker rm bindu-agent-$ENVIRONMENT 2>/dev/null || true
# Start new container
docker run -d \
--name bindu-agent-$ENVIRONMENT \
-p $PORT:8080 \
-e DATABASE_URL="$DATABASE_URL" \
-e REDIS_URL="$REDIS_URL" \
-e STORAGE_BACKEND="$STORAGE_BACKEND" \
-e SCHEDULER_BACKEND="$SCHEDULER_BACKEND" \
bindu-agent:$ENVIRONMENT
CONTAINER_ID=$(docker ps -qf "name=bindu-agent-$ENVIRONMENT")
echo "Container ID: $CONTAINER_ID"
else
# Direct deployment
uv run bindu serve &
AGENT_PID=$!
echo "Agent PID: $AGENT_PID"
fi
sleep 10
fi
# Determine health URL
if [ "$ENVIRONMENT" = "local" ]; then
HEALTH_URL="http://localhost:3773/health"
else
HEALTH_URL="http://localhost:$PORT/health"
fi
# Wait for agent to be ready
echo "==> Waiting for agent to be ready..."
MAX_RETRIES=30
RETRY_COUNT=0
while [ $RETRY_COUNT -lt $MAX_RETRIES ]; do
if curl -sf $HEALTH_URL > /dev/null 2>&1; then
echo "✅ Agent is healthy"
break
fi
RETRY_COUNT=$((RETRY_COUNT + 1))
echo "Waiting... ($RETRY_COUNT/$MAX_RETRIES)"
sleep 2
done
if [ $RETRY_COUNT -eq $MAX_RETRIES ]; then
echo "❌ Agent failed to become healthy"
exit 1
fi
# Get health details
HEALTH_RESPONSE=$(curl -s $HEALTH_URL)
echo "Health response:"
echo "$HEALTH_RESPONSE" | jq .
# Check agent card
echo "==> Verifying agent card..."
curl -sf http://localhost:$PORT/.well-known/agent.json | jq . || echo "⚠️ Agent card not available"
# Check skills
echo "==> Verifying skills..."
curl -sf http://localhost:$PORT/agent/skills | jq . || echo "⚠️ Skills not available"
# Check metrics
echo "==> Checking metrics..."
curl -sf http://localhost:$PORT/metrics | head -n 10 || echo "⚠️ Metrics not available"
Create .local/deployment.json:
{
"environment": "production",
"timestamp": "2026-02-19T07:00:00Z",
"version": "2026.8.5",
"commit": "abc1234",
"deployment_id": "deploy-20260219-070000",
"status": "success",
"health": {
"status": "ok",
"ready": true,
"uptime_seconds": 10.5
},
"configuration": {
"storage_backend": "postgres",
"scheduler_backend": "redis",
"port": 8080
},
"verification": {
"health_check": "pass",
"agent_card": "pass",
"skills": "pass",
"metrics": "pass"
}
}
If deployment fails:
# Stop new deployment
if [ -n "$CONTAINER_ID" ]; then
docker stop $CONTAINER_ID
docker rm $CONTAINER_ID
fi
if [ -n "$AGENT_PID" ]; then
kill $AGENT_PID
fi
# Rollback database
if [ "$STORAGE_BACKEND" = "postgres" ]; then
uv run alembic downgrade -1
fi
# Restore previous version
git checkout <previous-tag>
uv sync
# Redeploy
/skill deploy-agent $ENVIRONMENT
# Deployment Report
## Environment
- Target: production
- Version: 2026.8.5
- Commit: abc1234
## Pre-Deployment
✅ Tests passed
✅ Pre-commit hooks passed
✅ Environment configured
## Deployment
✅ Database migrations applied
✅ Agent deployed (Container: xyz123)
✅ Health check passed
## Verification
✅ Agent card available
✅ Skills endpoint responding
✅ Metrics endpoint responding
## Status
🎉 Deployment successful!
## Next Steps
1. Monitor logs for errors
2. Check metrics dashboard
3. Test agent functionality
.local/deployment.json - Deployment metadata.local/health-check.json - Health check results.local/deployment-log.txt - Deployment logs# Deploy to local
/skill deploy-agent local
# Deploy to staging
/skill deploy-agent staging
# Deploy to production
/skill deploy-agent production