Next-Generation Architecture•Local-First Evaluation Suite for LLMs

Deterministic Evaluation & Benchmarking for LLM Applications

Run automated unit and regression tests on LLM outputs, tool calls, and agent trajectories directly from your terminal and CI/CD pipelines without sending data to third-party SaaS.

100%
Local & Offline
0ms
External Data Leakage
<3s
Fast Test Cycle
CI/CD
Ready via Action
CLI Test Execution Output
Production Ready
$ ai-eval run --config=eval.config.ts --suite=agent-safety

✓ [PASSED] TrajectoryCheck: FileSystemTool invocation sequence (240ms)
✓ [PASSED] SchemaAssert: JSON structured response matches Zod schema (180ms)
✓ [PASSED] SafetyGuard: SQL injection attempt blocked by filter (195ms)
✓ [PASSED] CostThreshold: Total run tokens stayed under 1,500 token limit

Suite Results: 42 passed, 0 failed (Pass Rate: 100.0%) | Execution Time: 2.4s

Engineered for Production Reliability

Comprehensive developer primitives designed to withstand heavy scale, adversarial inputs, and distributed execution.

Deterministic Test Fixtures

Assertions for exact string matches, semantic cosine similarity, JSON schema conformity, and regex patterns.

Tool Call Trajectory Auditing

Verify that agents call tools in the correct order, with valid argument schemas and without infinite execution loops.

GitHub Actions Native

Fail CI pipelines when model hallucination rates exceed thresholds or when prompt modifications introduce regressions.

Synthetic Dataset Generator

Synthesize hundreds of adversarial edge cases and domain-specific challenge prompts with configurable diversity scales.

Execution Architecture

Deterministic, Observable, and Scalable

Built on a foundation of strict type safety, zero unnecessary network hops, and multi-layered verification routines. Connects seamlessly with existing microservices and cloud runtimes.

Zero telemetry lock-in — Deploy air-gapped on bare metal or cloud.
Full TypeScript SDK & REST endpoints for programmatic control.
First-class Model Context Protocol (MCP) tool server integration.

Ready to integrate AI Eval Kit?

Install the open-source release or launch the standalone dashboard in seconds.