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Switch to gpt-5-mini as the default #142

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Switch to gpt-5-mini as the default #142

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13 changes: 5 additions & 8 deletions evals/src/autoevals.eval.ts
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Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,6 @@ import {
DEFAULT_MODEL,
Factuality,
NumericDiff,
Score,
} from "autoevals";

const experimentNamePrefix = process.env.EXPERIMENT_NAME;
Expand Down Expand Up @@ -77,15 +76,13 @@ Eval("Autoevals", {
tags: [...(tags ?? []), name],
}));
}),
task: async (input, hooks) => {
task: async (input) => {
const { scorer, ...rest } = input;
let result: Score | null = null;
try {
result = await runScorerT(scorer, rest);
} catch (e) {
hooks.meta({ error: `${e}` });
const result = await runScorerT(scorer, rest);
if (result.score === null) {
throw new Error(`Scorer ${scorer} did not return a score.`);
}
return result?.score ?? -1;
return result.score;
},
scores: [NumericDiff],
experimentName: experimentNamePrefix ?? undefined,
Expand Down
4 changes: 1 addition & 3 deletions js/llm.ts
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Expand Up @@ -20,7 +20,7 @@ export type LLMArgs = {
temperature?: number;
} & OpenAIAuth;

export const DEFAULT_MODEL = "gpt-4o";
export const DEFAULT_MODEL = "gpt-5-mini";

const PLAIN_RESPONSE_SCHEMA = {
properties: {
Expand Down Expand Up @@ -217,7 +217,6 @@ export function LLMClassifierFromTemplate<RenderArgs>({
const prompt =
promptTemplate + "\n" + (useCoT ? COT_SUFFIX : NO_COT_SUFFIX);

const maxTokens = 512;
const messages: ChatCompletionMessageParam[] = [
{
role: "user",
Expand All @@ -231,7 +230,6 @@ export function LLMClassifierFromTemplate<RenderArgs>({
choiceScores,
classificationTools: buildClassificationTools(useCoT, choiceStrings),
model,
maxTokens,
temperature,
__choices: choiceStrings,
...runtimeArgs,
Expand Down
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