web/src/lib/format.ts

/**
 * Format a token count as a human-readable string (e.g. 1M, 128K, 4096).
 * Strips trailing ".0" for clean round numbers.
 */
export function formatTokenCount(n: number): string {
  if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(n % 1_000_000 === 0 ? 0 : 1)}M`;
  if (n >= 1_000) return `${(n / 1_000).toFixed(n % 1_000 === 0 ? 0 : 1)}K`;
  return String(n);
}
feat(web): add context window support to dashboard config - Add GET /api/model/info endpoint that resolves model metadata using the same 10-step context-length detection chain the agent uses. Returns auto-detected context length, config override, effective value, and model capabilities (tools, vision, reasoning, max output, model family). - Surface model.context_length as model_context_length virtual field in the config normalize/denormalize cycle. 0 = auto-detect (default), positive value overrides. Writing 0 removes context_length from the model dict on disk. - Add ModelInfoCard component showing resolved context window (e.g. '1M auto-detected' or '500K override — auto: 1M'), max output tokens, and colored capability badges (Tools, Vision, Reasoning, model family). - Inject ModelInfoCard between model field and context_length override in ConfigPage General tab. Card re-fetches on model change and after save. - Insert model_context_length right after model in CONFIG_SCHEMA ordering so the three elements (model input → info card → override) are adjacent. 2026-04-14 08:25:09 +05:30			`/**`
			`* Format a token count as a human-readable string (e.g. 1M, 128K, 4096).`
			`* Strips trailing ".0" for clean round numbers.`
			`*/`
			`export function formatTokenCount(n: number): string {`
			if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(n % 1_000_000 === 0 ? 0 : 1)}M`;
			if (n >= 1_000) return `${(n / 1_000).toFixed(n % 1_000 === 0 ? 0 : 1)}K`;
			`return String(n);`
			`}`