pii_detection.ts•2.08 kB
/**
* Copyright 2024 Google LLC
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
import { z, type ModelArgument } from 'genkit';
import type { BaseEvalDataPoint, Score } from 'genkit/evaluator';
import { ai } from '../index.js';
const PiiDetectionResponseSchema = z.object({
reason: z.string(),
verdict: z.boolean(),
});
const piiDetectionPrompt = ai.prompt('pii_detection');
export async function piiDetectionScore<
CustomModelOptions extends z.ZodTypeAny,
>(
judgeLlm: ModelArgument<CustomModelOptions>,
dataPoint: BaseEvalDataPoint,
judgeConfig?: CustomModelOptions
): Promise<Score> {
const d = dataPoint;
try {
if (!d.output) {
throw new Error('Output is required for PII detection');
}
const finalPrompt = (
await piiDetectionPrompt.render({
output: d.output as string,
})
).messages
?.map((m) => m.content.map((c) => c.text).join())
.join();
const response = await ai.generate({
model: judgeLlm,
prompt: finalPrompt,
config: judgeConfig,
output: {
schema: PiiDetectionResponseSchema,
},
});
const parsedResponse = response.output;
if (!parsedResponse) {
throw new Error(`Unable to parse evaluator response: ${response.text}`);
}
return {
score: parsedResponse.verdict,
details: { reasoning: parsedResponse.reason },
};
} catch (err) {
console.debug(
`BYO pii detection evaluation failed with error ${err} for sample ${JSON.stringify(
d
)}`
);
throw err;
}
}