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@axiastudio/aioc-regression-judge

v0.1.0

Published

Experimental LLM judge helpers for AIOC run regression suites.

Downloads

137

Readme

@axiastudio/aioc-regression-judge

Experimental companion package for AIOC run-regression suites.

It provides a ready-to-wire judge helper without coupling the package to a specific model provider. Applications provide the model invocation function; the package handles bounded judge input projection, prompt construction, and RunJudgeResult parsing.

Install

npm install @axiastudio/aioc @axiastudio/aioc-regression-judge

Usage

import { runRegressionSuite } from "@axiastudio/aioc";
import { createRunRegressionJudge } from "@axiastudio/aioc-regression-judge";

const judge = createRunRegressionJudge({
  judgeModel: "my-judge-model",
  generate: async ({ messages }) => {
    const response = await callYourModel(messages);
    return response.content;
  },
});

const suite = await runRegressionSuite({
  suite: {
    name: "age-adapted-explanation",
    expectation: {
      intent: "Adapt the explanation to the learner age range.",
    },
    cases: [{ baseline }],
  },
  agent: candidateAgent,
  mode: "live",
  judge,
});

Local Example

From the repository root:

npm run example:run-regression-judge

The example records a baseline harness, reruns the case against an age-adapted harness, and uses createRunRegressionJudge(...) to evaluate the candidate output with an application-owned OpenAI call. It requires OPENAI_API_KEY.

Projection Model

The default judge input is bounded. It includes:

  • baseline and candidate final outputs;
  • deterministic comparison summary and metrics;
  • expectation metadata;
  • tool call names and output envelope summaries;
  • policy and guardrail decision summaries;
  • prompt hashes and request fingerprints;
  • descriptor metadata, agent ids, and tool ids when descriptors are present.

It excludes by default:

  • contextSnapshot;
  • raw prompt text;
  • full message history;
  • raw tool output data;
  • full comparison differences.

Use inputMode: "full" only when the application explicitly accepts sending full RunRecord artifacts to the judge model. Prefer projection for application specific redaction.