agentuity-cli-cloud-env-set
Set an environment variable. Requires authentication. Use for Agentuity cloud platform operations
Set an environment variable. Requires authentication. Use for Agentuity cloud platform operations
AWS development with CDK best practices, serverless patterns, cost optimization, and event-driven architecture. Use when deploying to AWS, writing Lambda functions, configuring API Gateway, working with DynamoDB, S3, or any AWS service.
Import environment variables from a file to cloud and local .env.production. Requires authentication. Use for Agentuity cloud platform operations
Delete a database resource. Requires authentication. Use for Agentuity cloud platform operations
Import secrets from a file to cloud and local .env.production. Requires authentication. Use for Agentuity cloud platform operations
Delete an API key (soft delete). Requires authentication. Use for Agentuity cloud platform operations
Cloud cost optimization and FinOps analysis across AWS, Azure, and GCP
Push secrets from local .env.production file to cloud. Requires authentication. Use for Agentuity cloud platform operations
Delete one or more vectors by key. Requires authentication. Use for Agentuity cloud platform operations
List all environment variables. Requires authentication. Use for Agentuity cloud platform operations
Delete a keyvalue namespace and all its keys. Requires authentication. Use for Agentuity cloud platform operations
Enterprise Neon Serverless PostgreSQL Platform with AI-powered database architecture, Context7 integration, and intelligent branching orchestration for scalable modern applications
Modern deployment with Databricks Asset Bundles (DAB), supporting multi-environment configurations and CI/CD integration.
Package and deploy Databricks Asset Bundles with proper parameterization, multi-environment support, and serverless compute. Handles project structure, databricks.yml generation, validation, and deployment. Use when packaging tested code for production, deploying pipelines, or managing multi-environment deployments.
Reviews AWS Lambda functions for performance, memory configuration, and cost optimization. Activates when users write Lambda handlers or discuss Lambda performance.
Enterprise Vercel Edge Platform with AI-powered modern deployment, Context7 integration, and intelligent edge orchestration for scalable web applications
Run Python code in the cloud with serverless containers, GPUs, and autoscaling. Use when deploying ML models, running batch jobs, scheduling tasks, serving APIs with GPU acceleration, or scaling compute-intensive workloads. Triggers on requests for serverless GPU infrastructure, LLM inference, model training/fine-tuning, parallel data processing, cron jobs in the cloud, or deploying Python web endpoints.
Guides users on choosing between async and sync patterns for Lambda functions, including when to use tokio, rayon, and spawn_blocking. Activates when users write Lambda handlers with mixed workloads.
Infrastructure as Code with Terraform - modules, state management, and best practices.
Patterns and standards for creating new AWS service subpackages in the monorepo. Use when adding new service packages like Lambda, DynamoDB, Step Functions, etc.
Retrieve plan and apply logs from Terraform Cloud runs. Use when examining TFC run output, debugging failed plans/applies, or reviewing infrastructure changes. Requires TFE_TOKEN environment variable.
Convenience wrapper for listing Terraform Cloud runs in Forum Virium Helsinki workspaces (github, sentry, gcp, onelogin, twingate). Requires TFE_TOKEN. Use when user mentions TFC runs, Terraform Cloud workspace, listing TFC runs, infrastructure run history, or checking Terraform Cloud status.