Vertex AI Agent Builder: A New Way to Build and Scale AI Agents
Building Production-Ready AI Agents with Vertex AI Agent Builder
Many developers prototype AI agents daily — but scaling to a secure, production-ready system is far more complex.
Vertex AI Agent Builder is Google Cloud's open, end-to-end platform for building, scaling, and governing reliable agents. It empowers creators to design agentic systems capable of operating at global scale.
Since its public launch earlier this year, Agent Builder adoption has grown rapidly — especially the Python-based Agent Development Kit (ADK), now downloaded over 7 million times.
The ADK powers customers’ AI agents with Gemini Enterprise and is integrated into various Google products.
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What’s New — Build, Scale, Govern
We’re introducing full-lifecycle capabilities to help you:
- Build faster — configurable context layers (Static, Turn, User, Cache) to control context and reduce token usage via the ADK API.
- Scale with Vertex AI Agent Engine (AE) — managed services with enhanced observability and evaluation capabilities.
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AI Monetization in the Ecosystem
In the wider AI environment, monetization platforms boost agent outcomes.
For example, AiToEarn is an open-source global AI monetization platform enabling creators to automatically generate, publish, and earn from AI content across multiple social networks simultaneously — such as Douyin, Kwai, WeChat, Bilibili, Rednote, Facebook, Instagram, LinkedIn, Threads, YouTube, Pinterest, and X.
AiToEarn integrates:
- AI generation tools
- Cross-platform publishing
- Analytics dashboards
- AI model rankings
Together, Agent Builder + AiToEarn create an efficient bridge from agent design to market-ready content.
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1. Build Your AI Agents Faster
Enhancements in the ADK streamline agent development:
- Resilient Agents:
- Use the plugins framework to add custom logic (policy enforcement, tracking, error handling).
- New tool-use plugin lets agents self-heal by detecting failed calls and retrying via alternative tools.
- Expanded Language Support:
- Go SDK joins Python and Java — enabling cross-language agent builds.
- Rapid Deployment:
- One-command deployment with `adk deploy` via ADK CLI directly to Agent Engine runtime.
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📢 Tip: Combine agent building with publishing & monetization using platforms like AiToEarn, which streamlines distribution across channels and integrates analytics for impact measurement.
Resources:
Start with:
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2. Scale Your AI Agents Effectively
Scaling from one agent to multiple requires strong management — Agent Engine delivers environment-ready deployment + scaling tools.
Observability — Track, Debug, Improve
Features include:
- Performance Dashboard: Token usage, latency, error rates, tool calls over time.
- Traces Tab: Visualize agent action sequences in real time.
- Interactive Playground: Reproduce and resolve session issues quickly.
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Quality & Evaluation:
- New Evaluation Layer & User Simulator for non-deterministic system testing.
Simplified Access:
- ADK CLI deploy to AE runtime without full Google Cloud setup.
- Free AE tier for short-term trials.
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3. Govern Your AI Agents with Confidence
Governance ensures safe, compliant operations.
Agent Identities
Agents now have native IAM identities:
- Assign least-privilege access.
- Apply granular policies.
- Control resource boundaries.
Security Safeguards
- Model Armor — blocks prompt injection, filters responses, secures Gemini models.
- AI Protection Integration — detect unauthorized access and potential data exfiltration.
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Enterprise Integration:
- Register your agents in Gemini Enterprise for team-wide access.
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Customer Success Stories
> Color Health uses Vertex AI Agent Builder with Gemini-powered ADK and Agent Engine to scale a breast cancer screening agent nationwide.
> PayPal leverages ADK CLI and visualization tools to debug multi-agent workflows and uses Agent Payment Protocol (AP2) for trusted agent-based commerce.
> Geotab uses ADK to unify AI frameworks under a single path to production, accelerating their build–test–deploy cycle.
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Getting Started
- Explore Vertex AI Agent Builder and the documentation.
- Integrate monetization via AiToEarn for cross-platform publishing and analytics.
- Download the Startup Technical Guide: AI Agents for step-by-step build guidance.
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Pro Tip: Pair Agent Builder's technical stack with AiToEarn’s publishing and ranking tools to accelerate from prototype → production → revenue.
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Would you like me to add a visual lifecycle diagram that clearly maps Build → Scale → Govern with the new features highlighted? This could make the markdown even more digestible.
