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Google Cloud Agent Evaluation
Mountain View, California, United States
What it is
Google Cloud Agent Evaluation measures an AI agent’s performance, safety, and quality, and helps teams improve it. The workflow covers defining evaluation cases, running inferences, capturing behavior traces, calculating metrics, reviewing results, and optimizing the agent. It can generate varied, multi-turn test scenarios from agent instructions and tool definitions. During evaluation, tool calls can be intercepted to provide custom behavior, mocked data, or simulated problems such as HTTP 503 errors and latency spikes.
Prebuilt or custom raters score traces with reference-based Exact Match or reference-free Helpfulness metrics. Teams can also evaluate traces from production traffic or external logs without a managed test environment. Prompt optimization identifies failure points and proposes targeted changes to system instructions. The service has API and web access, and notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub. Usage pricing includes $0.00003 per 1k input characters and $0.00009 per 1k output characters for computation-based metrics; model-based metrics incur underlying autorater model prediction costs. A free trial is available, and new Google Cloud customers get $300 in credits.
For and against
For
- Generates multi-turn synthetic test scenarios
- Can simulate mocked data and tool errors
- Scores production traces or external logs
- Prompt optimization proposes targeted instruction updates
- Notebook launch options include Colab and GitHub
Against
- No free plan
- Usage charges vary by metric type
- Default quota is 20 concurrent evaluation runs per project per region
The verdict
Google Cloud Agent Evaluation brings test generation, trace scoring, and prompt optimization into one evaluation workflow. It offers a free trial and credits for new customers, but ongoing use is priced by usage and metric type.
Who it suits
This service suits teams evaluating agent behavior across test cases or production traces, including those who want to simulate tool responses or refine system instructions. It may also suit developers working with evaluation notebooks or AI coding assistants.
Plans and prices
Pay-as-you-go usage
Pricing is usage-based; model-based metric charges depend on dataset input tokens and autorater output · Third-party model evaluation also incurs model inference charges
Read 2 Oct 2026 · cloud.google.com
On the record
- Coding assistant support
- Evaluation skills for Gemini CLI or other AI coding assistants provide workflows, dataset schemas, metric guidance, and failure analysis steps.docs.cloud.google.com · read 2 Oct 2026
- Compliance
- Google Cloud states that its services undergo independent verification of security, privacy, and compliance controls and achieve certifications against global standards.cloud.google.com · read 2 Oct 2026
- Environment simulation
- It can intercept tool calls to inject custom behavior, mocked data, or simulated errors such as HTTP 503 errors and latency spikes.docs.cloud.google.com · read 2 Oct 2026
- Evaluation workflow
- The workflow defines evaluation cases, runs inferences, captures behavior traces, computes metrics, analyzes results, and optimizes the agent.docs.cloud.google.com · read 2 Oct 2026
- Integrations
- Google provides evaluation notebook launch options for Colab, Colab Enterprise, Agent Platform Workbench, and GitHub.docs.cloud.google.com · read 2 Oct 2026
- Metrics
- Prebuilt or custom raters score traces, including reference-based Exact Match and reference-free Helpfulness metrics.docs.cloud.google.com · read 2 Oct 2026
- Production traces
- Evaluation can score traces captured from production traffic or external logs without a managed test environment.docs.cloud.google.com · read 2 Oct 2026
- Prompt optimization
- Prompt optimization identifies failure points and iteratively proposes targeted updates to system instructions.docs.cloud.google.com · read 2 Oct 2026
- Purpose
- Agent evaluation measures and helps improve agents' performance, safety, and quality.docs.cloud.google.com · read 2 Oct 2026
- Quota limit
- The documented default quotas include 1,000 evaluation service requests per project per region per minute and 20 concurrent evaluation runs per project per region.docs.cloud.google.com · read 2 Oct 2026
- Support
- Google Cloud Basic Support includes documentation, community forums, billing assistance, and Active Assist; customers can upgrade for tailored technical support.cloud.google.com · read 2 Oct 2026
- Synthetic scenarios
- It can automatically generate diverse, multi-turn synthetic test scenarios from agent instructions and tool definitions.docs.cloud.google.com · read 2 Oct 2026
- Third-party models
- The console tutorial says the Gen AI evaluation service can evaluate Anthropic and Llama partner models through Agent Platform Model Garden.docs.cloud.google.com · read 2 Oct 2026
- Trial credits
- New Google Cloud customers get $300 in free credits to run, test, and deploy workloads.docs.cloud.google.com · read 2 Oct 2026
