Overview
Empower your coding assistant to become a Google Cloud AI agent expert with agents-cli. This powerful command-line interface (CLI) and set of integrated skills unlocks the full potential of enterprise-grade AI agent creation, evaluation, and deployment on Google Cloud, seamlessly integrating with your favorite coding assistants like Antigravity CLI, Claude Code, and Codex.
Key Features
- Seamless Coding Assistant Integration: Transforms any coding assistant into a specialized AI agent builder.
- End-to-End Agent Lifecycle Management: Covers agent creation, development, rigorous evaluation, and robust deployment.
- Comprehensive Skillset: Provides specialized skills for workflow management, ADK Python API interaction, project scaffolding, advanced evaluation methodologies, and scalable deployments.
- Simplified Deployment: Facilitates deployment to Google Cloud services like Agent Runtime, Cloud Run, and GKE, along with CI/CD pipeline setup.
- Enhanced Evaluation Capabilities: Offers tools for generating evaluation traces, grading performance, analyzing failure modes, and even optimizing prompts.
- Scalable & Governable: Enables enterprise-grade governance and optimization for your AI agents.
- Standalone CLI Functionality: Use the
agents-clicommands directly from your terminal for maximum flexibility.
Typical Use Cases
- Accelerated Agent Development: Quickly scaffold new AI agent projects and enhance existing ones with deployment and CI/CD capabilities.
- Rigorous Agent Testing: Implement comprehensive evaluation strategies to ensure agent quality, reliability, and performance using diverse metrics and LLM-as-judge approaches.
- Streamlined Cloud Deployment: Effortlessly deploy your developed agents to Google Cloud environments, leveraging managed services for scalability and resilience.
- Developer Productivity Boost: Offload complex CLI interactions and service configurations to your coding assistant, allowing you to focus on agent logic and innovation.
- Enterprise AI Agent Governance: Build, evaluate, and deploy AI agents that adhere to enterprise standards for scalability, security, and maintainability.
