Files
dev/third_party/pi/packages/ai/scripts/openrouter-catalog.ts
alexion 6081e3e325 chore(vendor): import pi 1.3.0
Imported as a linear vendor commit so forge rebases do not replay the upstream root tree.

git-subtree-dir: third_party/pi

git-subtree-split: 71023aec1546d6d677a65669c5665c0927ce0dd0
2026-10-15 17:58:48 -04:00

106 lines
4.0 KiB
TypeScript

import { type OpenRouterModel, openRouterCost } from "../src/providers/openrouter-api.ts";
import type { ClassifierModel, ImageModel, Model } from "../src/types.ts";
import { getOpenRouterThinkingLevelMap, type OpenRouterReasoningMetadata } from "./openrouter-reasoning-options.ts";
export interface OpenRouterModelListItem extends OpenRouterModel {
name: string;
supported_parameters?: string[];
architecture?: { modality?: string; input_modalities?: string[]; output_modalities?: string[] };
reasoning?: OpenRouterReasoningMetadata;
}
export interface OpenRouterCatalog {
chat: Model<"anthropic-messages" | "openai-completions">[];
images: ImageModel<"openrouter-images">[];
classifiers: ClassifierModel<"typesafe-system-one">[];
}
function modalities(values: string[] | undefined): ("text" | "image")[] {
return Array.from(
new Set((values ?? []).filter((value): value is "text" | "image" => value === "text" || value === "image")),
);
}
/**
* Build the OpenRouter catalog from the default listing and the
* `output_modalities=image` and `output_modalities=decisions` listings. The
* default listing omits image-only and decision models, so those come from
* the other listings. An upstream model may appear in several results; it then
* gets separate entries per operation.
*/
export function buildOpenRouterCatalog(
listed: readonly OpenRouterModelListItem[],
imageListed: readonly OpenRouterModelListItem[],
decisionListed: readonly OpenRouterModelListItem[],
): OpenRouterCatalog {
const chat: OpenRouterCatalog["chat"] = [];
for (const model of listed) {
// Only include models that support tools
if (!model.supported_parameters?.includes("tools")) continue;
// Parse input modalities
const input: ("text" | "image")[] = ["text"];
if (model.architecture?.modality?.includes("image")) {
input.push("image");
}
const thinkingLevelMap = getOpenRouterThinkingLevelMap(model.reasoning);
const useAnthropicMessages = /^anthropic\//.test(model.id) && !model.id.endsWith(":batch");
chat.push({
type: "chat",
id: model.id,
name: model.name,
api: useAnthropicMessages ? "anthropic-messages" : "openai-completions",
baseUrl: useAnthropicMessages ? "https://openrouter.ai/api" : "https://openrouter.ai/api/v1",
provider: "openrouter",
reasoning: model.supported_parameters?.includes("reasoning") || false,
...(thinkingLevelMap && { thinkingLevelMap }),
input,
cost: openRouterCost(model.pricing),
contextWindow: model.top_provider?.context_length || model.context_length || 4096,
maxTokens: model.top_provider?.max_completion_tokens || 4096,
});
}
const images: OpenRouterCatalog["images"] = [];
for (const model of imageListed) {
if (images.some((entry) => entry.id === model.id)) continue;
const output = modalities(model.architecture?.output_modalities);
if (!output.includes("image")) continue;
const input = modalities(model.architecture?.input_modalities);
images.push({
type: "image",
id: model.id,
name: model.name,
api: "openrouter-images",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
input: input.length > 0 ? input : ["text"],
output,
cost: openRouterCost(model.pricing),
});
}
// Decision models such as TypeSafe's Jev are served through OpenRouter's
// TypeSafe-compatible System One endpoint.
const classifiers: OpenRouterCatalog["classifiers"] = [];
for (const model of decisionListed) {
if (classifiers.some((entry) => entry.id === model.id)) continue;
if (!model.architecture?.output_modalities?.includes("decisions")) continue;
const input = modalities(model.architecture.input_modalities);
classifiers.push({
type: "classifier",
id: model.id,
name: model.name,
api: "typesafe-system-one",
provider: "openrouter",
baseUrl: "https://openrouter.ai/api/v1",
input: input.length > 0 ? input : ["text"],
cost: openRouterCost(model.pricing),
contextWindow: model.top_provider?.context_length || model.context_length || 4096,
});
}
return { chat, images, classifiers };
}