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QA Infrastructure Capability

Agentic Evaluation Harness Services

Reviewed by Umar Abbas • CTO & Principal AI Architect

An agentic evaluation harness is an automated testing framework designed to evaluate multi-step agent trajectories, tool-calling precision, and final response accuracy across diverse prompt benchmarks. We engineer custom LLM-as-a-judge evaluators, synthetic dataset generators, and CI/CD regression gates using Ragas and DeepEval.

CI Build GateGitHub Actions Hook
Evaluator EngineDeepEval & Ragas
Benchmark Suite500+ Test Trajectories
Regressions Caught42 Bugs Blocked
CI/CD Testing Workflow

Automated Trajectory Evaluation Pipeline

Continuous Agent Evaluation Pipeline

Interactive Flow Diagram
Continuous Agent Evaluation Pipeline
Stage 1:

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Step Stage Name Function & Detail Metrics / SLA
1 N/A
2 N/A
3 N/A
4 N/A
5 N/A
PyTest Code Pattern

PyTest Trajectory Evaluation Suite

import pytest
from deepeval.metrics import GEval
from deepeval.test_case import LLMTestCase

trajectory_correctness_metric = GEval(
  name="Trajectory Correctness",
  criteria="Evaluate whether the agent executed minimum required tools without redundant calls.",
  evaluation_params=[LLMTestCaseParams.INPUT, LLMTestCaseParams.ACTUAL_OUTPUT, LLMTestCaseParams.TOOLS_CALLED]
)

@pytest.mark.asyncio
async def test_agent_account_lookup_trajectory():
  agent_output = await run_test_agent("Find ledger summary for ACC-99201")
  
  test_case = LLMTestCase(
      input="Find ledger summary for ACC-99201",
      actual_output=agent_output.final_text,
      tools_called=agent_output.tool_history
  )
  
  trajectory_correctness_metric.measure(test_case)
  assert trajectory_correctness_metric.score >= 0.95
Test Scale Impact

Benchmark Trajectory Test Coverage Calculator

Automated Test Suite Coverage vs Defect Mitigation

Live Calculator
50,000
50 1,000
Legacy Cost $2,000 /month
Optimized Cost $400 /month
Estimated Savings $1,600 (80% reduction)
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At baseline baseline volume of 50,000 Test Cases: Legacy execution cost: $2,000/mo ($0.04/unit). Optimized architecture cost: $400/mo ($0.008/unit). Net monthly cost savings: $1,600/mo (80% cost reduction).

Production QA Telemetry

1,200 CI Build Executions Telemetry

Evaluated ParameterMeasured Telemetry
Total CI Builds Executed1,200 Builds
Production Regression Defect Rate0.00%
Average Suite Execution Time4min 12sec
Buyer FAQ

Frequently Asked Questions

What metrics does an agentic evaluation harness measure?↓

We measure trajectory step efficiency, tool-calling precision, schema compliance, hallucination rates, and end-to-end task completion accuracy.

How do you run agent evaluation tests in GitHub Actions?↓

We build PyTest test suites that invoke isolated mock tool servers and run trajectory assertions against static benchmark datasets during git pull requests.

Is LLM-as-a-judge deterministic enough for CI/CD gates?↓

We combine deterministic schema validators for tool outputs with calibrated judge models running at zero temperature across 5 evaluation runs.

How long does it take to implement an agent evaluation harness?↓

Harness setup and benchmark dataset curation take 3 to 6 weeks, including CI/CD integration and regression dashboard deployment.

Who owns the test datasets and evaluation harness code?↓

Your engineering team holds 100% ownership of all evaluation scripts, test cases, and CI pipeline configurations.

Build Automated QA Harnesses for AI Agents

Consult with CTO Umar Abbas to set up continuous agent regression testing.

Request QA Architecture Review