MCP Terminal Server
by dillip285
- js
- testapps
- custom-evaluators
- src
- funniness
/**
* 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 { ModelArgument, z } from 'genkit';
import { BaseEvalDataPoint, Score } from 'genkit/evaluator';
import { ai } from '../index.js';
const FUNNINESS_VALUES = [
'FUNNY_JOKE',
'NOT_FUNNY_JOKE',
'OFFENSIVE_JOKE',
'NOT_A_JOKE',
] as const;
const funninessPrompt = ai.prompt('funniness');
const FunninessResponseSchema = z.object({
reason: z.string(),
verdict: z.enum(FUNNINESS_VALUES),
});
export async function funninessScore<CustomModelOptions extends z.ZodTypeAny>(
judgeLlm: ModelArgument<CustomModelOptions>,
dataPoint: BaseEvalDataPoint,
judgeConfig?: z.infer<CustomModelOptions>
): Promise<Score> {
const d = dataPoint;
try {
if (!d.output) {
throw new Error('Output is required for Funniness detection');
}
const finalPrompt = (
await funninessPrompt.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: FunninessResponseSchema,
},
});
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 funniness evaluation failed with error ${err} for sample ${JSON.stringify(
d
)}`
);
throw err;
}
}