EVALUATION SUITE Benchmark Speed, Cost & Accuracy in Real Time

Evaluate AI Agent Versions.
Pick the Winner & Push to Production.

Eliminate prompt trial-and-error. Automatically generate AI test suites, benchmark agent versions concurrently across speed, token cost, and accuracy metrics, and safely deploy optimized versions with 1-click.

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99.4%
Evaluation Precision
10x
Faster Testing Cycles
40%
Average Cost Savings
0 ms
Zero-Downtime Push
LIVE INTERACTIVE DEMO

Interactive Agent Evaluation Studio

Try generating test cases, executing one-click benchmarks across 3 prompt versions, and pushing the best performing version to production.

Customer Support AI Agent — Evaluation Session #409
PRODUCTION: v1.0 (GPT-4o Baseline)

1 Select Versions to Compare

3 Prompt & Model Configurations
v1.0 Baseline GPT-4o
Standard Support Prompt

Basic system prompt with full conversation context and standard tool access.

Latency: ~420ms Est. Cost: $0.005/run
v1.2 Sonnet-Tuned Claude 3.5 Sonnet
Strict Rules Prompt

Added strict negative constraints, formatted output, and tool validation logic.

Latency: ~310ms Est. Cost: $0.003/run
RECOMMENDED WINNER
v2.0 Rhino-Turbo Rhino Fast-Reasoning
Optimized Compressed Prompt

Dynamic few-shot RAG injection, token pruning, and parallel tool calling.

Latency: ~180ms Est. Cost: $0.0018/run
6 Active Test Scenarios

Evaluation Test Suite

All (6) Accuracy Speed Cost
Accuracy
Complex Refund Request with SLA Boundary Edge Case
Tests exact policy adherence when customer requests full refund past 30 days.
Weight: 25% Ready
Speed / Latency
Multi-Turn Address Change & Verification (Streaming)
Measures First Token Time (TTFT) and full execution latency under 200ms target.
Weight: 20% Ready
Cost Efficiency
High-Volume Order Status Inquiry (Token Pruning)
Evaluates token consumption efficiency across long system prompt contexts.
Weight: 15% Ready
Hallucination Check
Adversarial Prompt Injection & Out-of-Bounds Knowledge Query
Verifies agent correctly rejects unauthorized queries without fabricating facts.
Weight: 20% Ready
[SYSTEM]: Evaluation Studio initialized. 3 versions loaded for benchmarking.
[AI SCENARIO GENERATOR]: Ready to generate dynamic edge cases.
[BENCHMARK ENGINE]: Click 'Run Benchmark Suite' to execute concurrent speed, cost & accuracy tests.

Recommended Version: v2.0 Rhino-Turbo

Outperformed Baseline v1.0 with 18% higher accuracy, 57% lower latency, and 64% cheaper token cost.

Speed / Latency
182 ms
57% Faster than v1.0
Token Cost / 1K Runs
$1.80
64% Cost Reduction
Accuracy Score
98.6%
+18.2% Accuracy
Hallucination Index
0.2%
Zero Hallucinations
Evaluation Criteria v1.0 Baseline v1.2 Sonnet-Tuned v2.0 Rhino-Turbo (Winner)
Average Response Speed 420 ms 310 ms 182 ms (10/10)
Cost per 1,000 Executions $5.00 $3.00 $1.80 (10/10)
Test Suite Accuracy % 80.4% 91.0% 98.6% (Passed All)
Tool Function Execution 88.0% Success 95.2% Success 100.0% Perfect
ENTERPRISE EVALUATION ARCHITECTURE

Built for Engineering & Product Teams

Comprehensive evaluation infrastructure to ensure zero regressions, cost control, and top-tier AI agent reliability.

Automated AI Test Generation

Let AI analyze your prompt and system specifications to automatically craft hundreds of realistic edge cases, customer inputs, and multi-turn conversational scenarios.

Speed, Cost & Accuracy Matrix

Evaluate models and prompts side-by-side across three crucial axes: Time-to-First-Token (TTFT), token cost per 1K runs, and ground-truth answer accuracy.

Continuous Regression Guardrails

Integrate evaluation suites into your CI/CD pipeline. Automatically block any prompt modification that drops accuracy below your strict baseline thresholds.

Real-Time Traffic Shadowing

Replay real production traffic in a isolated shadow environment to test candidate agent versions against actual customer queries without end-user risk.

Custom Multi-Judge Evaluators

Combine LLM-as-a-Judge, exact string regex matchers, embedding semantic distance, and custom Python validators for domain-specific scoring.

Instant 1-Click Rollback

Deploy with total confidence. If live production telemetry detects an anomaly, Rhino's automated safety guardrails revert to the previous version instantly.

SIMPLE WORKFLOW

How Evaluation & Deployment Works

From prompt draft to production deployment in 5 intuitive steps.

1

Define Versions

Create prompt variations or compare different model providers.

2

Generate Tests

Auto-generate AI test cases covering edge cases & policy compliance.

3

Execute Benchmark

Run parallel test suites to collect speed, cost, and accuracy data.

4

Review Report

Analyze automated recommendations and side-by-side metric tables.

5

Push to Production

Promote the winner with 1-click zero-downtime deployment.

FREQUENTLY ASKED QUESTIONS

Got Questions? We Have Answers.

How does AI test case generation work?
Rhino's AI Test Generator scans your agent's system prompt, tools, and business rules to synthesize edge cases, complex multi-turn queries, adversarial inputs, and negative constraints automatically.
Can I evaluate custom models or local LLMs?
Yes! Rhino Evaluation Suite supports all major commercial providers (OpenAI, Anthropic, Google Gemini) as well as custom fine-tuned or self-hosted models via REST API / vLLM endpoints.
How does the 1-click production push feature work?
When you push a version to production, Rhino updates the active routing configuration instantly with zero downtime. All upcoming customer requests are handled by the new version while real-time anomaly guardrails monitor for any spikes in latency or errors.
Can I integrate evaluation runs into GitHub Actions or CI/CD?
Absolutely. You can run evaluation suites via the Rhino CLI or REST API in your GitHub Actions or CI/CD pipeline, automatically gating pull requests if test accuracy or latency SLAs fall below your threshold.
Ready to Start?

Evaluate & Push Best AI Agent
to Production Today

Benchmark speed, cost, and accuracy with AI test cases and 1-click zero-downtime deployment.

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