Function detectOllamaModels

src/setup/model-detector.ts:76–102

(baseUrl = 'http://localhost:11434')

/** Probe Ollama daemon for installed models. */
export async function detectOllamaModels(baseUrl = 'http://localhost:11434'): Promise<DetectedModel[]> {
  const r = await fetchWithTimeout(`${baseUrl}/api/tags`);
  if (!r || !r.ok) return [];
  try {
    const body = await r.json() as { models?: Array<{ name: string; size?: number; details?: any }> };
    if (!Array.isArray(body.models)) return [];
    return body.models.map(m => {
      const sizeGb = m.size ? m.size / (1024 ** 3) : undefined;
      const paramsB = parseParamsFromId(m.name);
      return {
        provider: 'ollama' as const,
        id: m.name,
        label: m.name,
        source: 'ollama' as const,
        sizeGb: sizeGb ? Math.round(sizeGb * 10) / 10 : undefined,
        paramsB,
        // Ollama models support structured tool_calls IFF they were trained for it.
        // Best-effort heuristic: Qwen 2.5+, Llama 3.1+, DeepSeek-V3/R1, Mistral support it natively.
        // We err toward 'true' for known coder/instruct families since QodeX's recovery layer catches the rest.
        toolCallsLikely: looksLikeToolCallCapable(m.name),
      };
    });
  } catch (e: any) {
    logger.debug('Ollama response parse failed', { err: e?.message });
    return [];
  }
}

/**
 * Probe LM Studio / llama.cpp server on common ports.