Files
windmill/ai_evals/core/models.ts
T
hugocasaandClaude Opus 5.5 e117871bec weekly ai evals on current models, and claude 5.5/gpt-6 support (#11409)
* feat: run ai evals weekly on current models and post results to a dashboard

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* feat: add current flagship models, a reasoning flag and claude 5.5 defaults

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix: never send a reasoning disable claude 5.5 or gpt-6-astra reject, and treat gpt-6 as a reasoning model

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix: address review on gpt-6 support, chat completions tools and model metadata

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix: leave tiered gpt-6 unpriced and drop the off sentinel on gpt-5 and o-series

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* docs: point the ai_evals readme at the model registry instead of copying it

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* refactor: encode the reasoning rules as per-family maps with a shared parity fixture

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

* fix: keep the chat completions tools rule open-ended past gpt-5.6 and scope the parity fixture

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

---------

Co-authored-by: Claude Opus 5.5 <noreply@anthropic.com>
2026-09-30 13:10:24 +02:00

280 lines
5.9 KiB
TypeScript

import type { EvalMode } from "./types";
export interface FrontendEvalModelConfig {
provider: "anthropic" | "openai" | "googleai" | "deepseek";
model: string;
}
export interface CliEvalModelConfig {
provider: "anthropic";
model: string;
}
export interface EvalModelSpec {
id: string;
label: string;
aliases: string[];
frontend?: FrontendEvalModelConfig;
cli?: CliEvalModelConfig;
}
export const EVAL_MODELS: EvalModelSpec[] = [
{
id: "haiku",
label: "Claude Haiku 4.5",
aliases: [
"haiku",
"haiku-4.5",
"claude-haiku",
"claude-haiku-4.5",
"claude-haiku-4-5",
"claude-haiku-4-5-20251001",
],
frontend: {
provider: "anthropic",
model: "claude-haiku-4-5-20251001",
},
cli: {
provider: "anthropic",
model: "haiku",
},
},
{
id: "sonnet",
label: "Claude Sonnet 4.5",
aliases: [
"sonnet",
"sonnet-4.5",
"claude-sonnet",
"claude-sonnet-4.5",
"claude-sonnet-4-5",
"claude-sonnet-4-5-20250929",
],
frontend: {
provider: "anthropic",
model: "claude-sonnet-4-5-20250929",
},
cli: {
provider: "anthropic",
model: "sonnet",
},
},
{
id: "opus",
label: "Claude Opus 4.6",
aliases: [
"opus",
"opus-4.6",
"claude-opus",
"claude-opus-4.6",
"claude-opus-4-6",
],
frontend: {
provider: "anthropic",
model: "claude-opus-4-6",
},
cli: {
provider: "anthropic",
model: "opus",
},
},
{
id: "sonnet-5.5",
label: "Claude Sonnet 5.5",
aliases: ["sonnet-5.5", "claude-sonnet-5.5", "claude-sonnet-5-5"],
frontend: {
provider: "anthropic",
model: "claude-sonnet-5-5",
},
cli: {
provider: "anthropic",
model: "claude-sonnet-5-5",
},
},
{
id: "opus-5.5",
label: "Claude Opus 5.5",
aliases: ["opus-5.5", "claude-opus-5.5", "claude-opus-5-5"],
frontend: {
provider: "anthropic",
model: "claude-opus-5-5",
},
cli: {
provider: "anthropic",
model: "claude-opus-5-5",
},
},
{
id: "4o",
label: "GPT-4o",
aliases: ["4o", "gpt-4o"],
frontend: {
provider: "openai",
model: "gpt-4o",
},
},
{
id: "gpt-5.5",
label: "GPT-5.5",
aliases: ["gpt-5.5", "gpt-55", "5.5"],
frontend: {
provider: "openai",
model: "gpt-5.5",
},
},
{
id: "gpt-5.6-sol",
label: "GPT-5.6 Sol",
aliases: ["gpt-5.6-sol"],
frontend: {
provider: "openai",
model: "gpt-5.6-sol",
},
},
{
id: "gpt-6-astra",
label: "GPT-6 Astra",
aliases: ["gpt-6-astra", "gpt-6"],
frontend: {
provider: "openai",
model: "gpt-6-astra",
},
},
{
id: "gpt-6-sol",
label: "GPT-6 Sol",
aliases: ["gpt-6-sol"],
frontend: {
provider: "openai",
model: "gpt-6-sol",
},
},
{
id: "gpt-6-luna",
label: "GPT-6 Luna",
aliases: ["gpt-6-luna"],
frontend: {
provider: "openai",
model: "gpt-6-luna",
},
},
{
id: "gemini-3.8-flash",
label: "Gemini 3.8 Flash",
aliases: ["gemini-3.8-flash"],
frontend: {
provider: "googleai",
model: "gemini-3.8-flash",
},
},
{
id: "gemini-3-flash-preview",
label: "Gemini 3 Flash Preview",
aliases: ["gemini-3-flash-preview", "gemini-3-flash"],
frontend: {
provider: "googleai",
model: "gemini-3-flash-preview",
},
},
{
id: "gemini-3.1-pro-preview",
label: "Gemini 3.1 Pro Preview",
aliases: [
"gemini-3.1-pro-preview",
"gemini-3.1-pro",
"gemini-3-pro-preview",
],
frontend: {
provider: "googleai",
model: "gemini-3.1-pro-preview",
},
},
{
id: "deepseek-v4-flash",
label: "DeepSeek V4 Flash",
aliases: ["deepseek", "deepseek-v4", "deepseek-v4-flash"],
frontend: {
provider: "deepseek",
model: "deepseek-v4-flash",
},
},
{
id: "deepseek-v4-pro",
label: "DeepSeek V4 Pro",
aliases: ["deepseek-pro", "deepseek-v4-pro"],
frontend: {
provider: "deepseek",
model: "deepseek-v4-pro",
},
},
];
export function resolveEvalModel(
mode: EvalMode,
alias?: string,
): EvalModelSpec {
const spec = alias ? findEvalModel(alias) : getDefaultEvalModel(mode);
if (!spec) {
throw new Error(`Unknown model: ${alias}`);
}
if (mode === "cli" && !spec.cli) {
throw new Error(`Model ${spec.id} is not supported for cli mode`);
}
if (mode !== "cli" && !spec.frontend) {
throw new Error(`Model ${spec.id} is not supported for ${mode} mode`);
}
return spec;
}
export function getEvalModelHelpText(): string {
return EVAL_MODELS.map((model) => {
const modes = [
...(model.frontend ? ["flow", "script", "app", "global"] : []),
...(model.cli ? ["cli"] : []),
];
return ` ${model.id.padEnd(8)} ${model.label} (${modes.join(", ")})`;
}).join("\n");
}
export function formatRunModelLabel(
mode: EvalMode,
model: EvalModelSpec,
): string {
if (mode === "cli") {
return `${model.cli!.provider}:${model.cli!.model}`;
}
return `${model.frontend!.provider}:${model.frontend!.model}`;
}
export function getFrontendEvalModel(
model: EvalModelSpec,
): FrontendEvalModelConfig {
if (!model.frontend) {
throw new Error(`Model ${model.id} does not support frontend evals`);
}
return model.frontend;
}
export function getCliEvalModel(model: EvalModelSpec): CliEvalModelConfig {
if (!model.cli) {
throw new Error(`Model ${model.id} does not support cli evals`);
}
return model.cli;
}
function getDefaultEvalModel(mode: EvalMode): EvalModelSpec {
return mode === "cli" ? EVAL_MODELS[0]! : EVAL_MODELS[0]!;
}
function findEvalModel(alias: string): EvalModelSpec | undefined {
const normalized = alias.trim().toLowerCase();
return EVAL_MODELS.find((model) =>
[model.id, ...model.aliases].some(
(candidate) => candidate.toLowerCase() === normalized,
),
);
}