co-mono/packages/coding-agent/src/cli/list-models.ts
Mario Zechner 1c31d91c83 WIP: Rename model-config.ts to models-json.ts
- loadCustomModels now takes file path instead of agentDir
2025-12-25 01:15:17 +01:00

113 lines
3.3 KiB
TypeScript

/**
* List available models with optional fuzzy search
*/
import type { Api, Model } from "@mariozechner/pi-ai";
import { getAvailableModels } from "../core/models-json.js";
import type { SettingsManager } from "../core/settings-manager.js";
import { fuzzyFilter } from "../utils/fuzzy.js";
/**
* Format a number as human-readable (e.g., 200000 -> "200K", 1000000 -> "1M")
*/
function formatTokenCount(count: number): string {
if (count >= 1_000_000) {
const millions = count / 1_000_000;
return millions % 1 === 0 ? `${millions}M` : `${millions.toFixed(1)}M`;
}
if (count >= 1_000) {
const thousands = count / 1_000;
return thousands % 1 === 0 ? `${thousands}K` : `${thousands.toFixed(1)}K`;
}
return count.toString();
}
/**
* List available models, optionally filtered by search pattern
*/
export async function listModels(searchPattern?: string, settingsManager?: SettingsManager): Promise<void> {
const { models, error } = await getAvailableModels(
undefined,
settingsManager ? (provider) => settingsManager.getApiKey(provider) : undefined,
);
if (error) {
console.error(error);
process.exit(1);
}
if (models.length === 0) {
console.log("No models available. Set API keys in environment variables.");
return;
}
// Apply fuzzy filter if search pattern provided
let filteredModels: Model<Api>[] = models;
if (searchPattern) {
filteredModels = fuzzyFilter(models, searchPattern, (m) => `${m.provider} ${m.id}`);
}
if (filteredModels.length === 0) {
console.log(`No models matching "${searchPattern}"`);
return;
}
// Sort by provider, then by model id
filteredModels.sort((a, b) => {
const providerCmp = a.provider.localeCompare(b.provider);
if (providerCmp !== 0) return providerCmp;
return a.id.localeCompare(b.id);
});
// Calculate column widths
const rows = filteredModels.map((m) => ({
provider: m.provider,
model: m.id,
context: formatTokenCount(m.contextWindow),
maxOut: formatTokenCount(m.maxTokens),
thinking: m.reasoning ? "yes" : "no",
images: m.input.includes("image") ? "yes" : "no",
}));
const headers = {
provider: "provider",
model: "model",
context: "context",
maxOut: "max-out",
thinking: "thinking",
images: "images",
};
const widths = {
provider: Math.max(headers.provider.length, ...rows.map((r) => r.provider.length)),
model: Math.max(headers.model.length, ...rows.map((r) => r.model.length)),
context: Math.max(headers.context.length, ...rows.map((r) => r.context.length)),
maxOut: Math.max(headers.maxOut.length, ...rows.map((r) => r.maxOut.length)),
thinking: Math.max(headers.thinking.length, ...rows.map((r) => r.thinking.length)),
images: Math.max(headers.images.length, ...rows.map((r) => r.images.length)),
};
// Print header
const headerLine = [
headers.provider.padEnd(widths.provider),
headers.model.padEnd(widths.model),
headers.context.padEnd(widths.context),
headers.maxOut.padEnd(widths.maxOut),
headers.thinking.padEnd(widths.thinking),
headers.images.padEnd(widths.images),
].join(" ");
console.log(headerLine);
// Print rows
for (const row of rows) {
const line = [
row.provider.padEnd(widths.provider),
row.model.padEnd(widths.model),
row.context.padEnd(widths.context),
row.maxOut.padEnd(widths.maxOut),
row.thinking.padEnd(widths.thinking),
row.images.padEnd(widths.images),
].join(" ");
console.log(line);
}
}