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- 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.
9 lines
373 B
TypeScript
9 lines
373 B
TypeScript
/**
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* Format a token count as a human-readable string (e.g. 1M, 128K, 4096).
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* Strips trailing ".0" for clean round numbers.
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*/
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export function formatTokenCount(n: number): string {
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if (n >= 1_000_000) return `${(n / 1_000_000).toFixed(n % 1_000_000 === 0 ? 0 : 1)}M`;
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if (n >= 1_000) return `${(n / 1_000).toFixed(n % 1_000 === 0 ? 0 : 1)}K`;
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return String(n);
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}
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