can1357
8e3e0ebf9e
- Introduced Effort enum and ThinkingConfig metadata for per-model reasoning capabilities with min/max effort levels. - Migrated thinking level API from string-based ThinkingLevel to structured Effort enum across agent and AI packages. - Added model-thinking module with effort mapping, policy application, and semantic versioning utilities for provider-specific thinking modes. - Removed supportsXhigh() function and replaced effort clamping with model-aware validation using ThinkingConfig metadata. - Expanded models.json with thinking configuration objects for 50+ models including Claude, Gemini, and OpenAI variants. - Added Python analysis scripts for edit tool usage patterns and tool invocation stream processing.
90 lines
2.8 KiB
TypeScript
90 lines
2.8 KiB
TypeScript
/**
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* List available models with optional fuzzy search
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*/
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import { type Api, getSupportedEfforts, type Model } from "@oh-my-pi/pi-ai";
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import { formatNumber } from "@oh-my-pi/pi-utils";
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import type { ModelRegistry } from "../config/model-registry";
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import { fuzzyFilter } from "../utils/fuzzy";
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/**
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* List available models, optionally filtered by search pattern
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*/
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export async function listModels(modelRegistry: ModelRegistry, searchPattern?: string): Promise<void> {
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const models = modelRegistry.getAvailable();
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if (models.length === 0) {
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console.log("No models available. Set API keys in environment variables.");
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return;
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}
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// Apply fuzzy filter if search pattern provided
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let filteredModels: Model<Api>[] = models;
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if (searchPattern) {
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filteredModels = fuzzyFilter(models, searchPattern, m => `${m.provider} ${m.id}`);
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}
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if (filteredModels.length === 0) {
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console.log(`No models matching "${searchPattern}"`);
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return;
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}
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// Sort by provider, then by model id
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filteredModels.sort((a, b) => {
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const providerCmp = a.provider.localeCompare(b.provider);
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if (providerCmp !== 0) return providerCmp;
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return a.id.localeCompare(b.id);
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});
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// Calculate column widths
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const rows = filteredModels.map(m => ({
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provider: m.provider,
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model: m.id,
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context: formatNumber(m.contextWindow),
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maxOut: formatNumber(m.maxTokens),
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thinking: m.thinking ? getSupportedEfforts(m).join(",") : m.reasoning ? "yes" : "-",
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images: m.input.includes("image") ? "yes" : "no",
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}));
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const headers = {
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provider: "provider",
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model: "model",
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context: "context",
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maxOut: "max-out",
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thinking: "thinking",
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images: "images",
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};
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const widths = {
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provider: Math.max(headers.provider.length, ...rows.map(r => r.provider.length)),
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model: Math.max(headers.model.length, ...rows.map(r => r.model.length)),
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context: Math.max(headers.context.length, ...rows.map(r => r.context.length)),
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maxOut: Math.max(headers.maxOut.length, ...rows.map(r => r.maxOut.length)),
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thinking: Math.max(headers.thinking.length, ...rows.map(r => r.thinking.length)),
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images: Math.max(headers.images.length, ...rows.map(r => r.images.length)),
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};
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// Print header
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const headerLine = [
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headers.provider.padEnd(widths.provider),
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headers.model.padEnd(widths.model),
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headers.context.padEnd(widths.context),
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headers.maxOut.padEnd(widths.maxOut),
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headers.thinking.padEnd(widths.thinking),
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headers.images.padEnd(widths.images),
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].join(" ");
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console.log(headerLine);
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// Print rows
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for (const row of rows) {
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const line = [
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row.provider.padEnd(widths.provider),
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row.model.padEnd(widths.model),
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row.context.padEnd(widths.context),
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row.maxOut.padEnd(widths.maxOut),
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row.thinking.padEnd(widths.thinking),
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row.images.padEnd(widths.images),
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].join(" ");
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console.log(line);
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}
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}
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