{"version":3,"file":"list-models.d.ts","sourceRoot":"","sources":["../../src/cli/list-models.ts"],"names":[],"mappings":"AAAA;;GAEG;AAMH,OAAO,KAAK,EAAE,aAAa,EAAE,MAAM,2BAA2B,CAAC;AAiB/D;;GAEG;AACH,wBAAsB,UAAU,CAAC,aAAa,EAAE,aAAa,EAAE,aAAa,CAAC,EAAE,MAAM,GAAG,OAAO,CAAC,IAAI,CAAC,CAkFpG","sourcesContent":["/**\n * List available models with optional fuzzy search\n */\n\nimport type { Api, Model } from \"@earendil-works/pi-ai\";\nimport { fuzzyFilter } from \"@earendil-works/pi-tui\";\nimport chalk from \"chalk\";\nimport { formatNoModelsAvailableMessage } from \"../core/auth-guidance.js\";\nimport type { ModelRegistry } from \"../core/model-registry.js\";\n\n/**\n * Format a number as human-readable (e.g., 200000 -> \"200K\", 1000000 -> \"1M\")\n */\nfunction formatTokenCount(count: number): string {\n\tif (count >= 1_000_000) {\n\t\tconst millions = count / 1_000_000;\n\t\treturn millions % 1 === 0 ? `${millions}M` : `${millions.toFixed(1)}M`;\n\t}\n\tif (count >= 1_000) {\n\t\tconst thousands = count / 1_000;\n\t\treturn thousands % 1 === 0 ? `${thousands}K` : `${thousands.toFixed(1)}K`;\n\t}\n\treturn count.toString();\n}\n\n/**\n * List available models, optionally filtered by search pattern\n */\nexport async function listModels(modelRegistry: ModelRegistry, searchPattern?: string): Promise<void> {\n\tconst loadError = modelRegistry.getError();\n\tif (loadError) {\n\t\tconsole.error(chalk.yellow(`Warning: errors loading models.json:\\n${loadError}`));\n\t}\n\n\tconst models = modelRegistry.getAvailable();\n\n\tif (models.length === 0) {\n\t\tconsole.log(formatNoModelsAvailableMessage());\n\t\treturn;\n\t}\n\n\t// Apply fuzzy filter if search pattern provided\n\tlet filteredModels: Model<Api>[] = models;\n\tif (searchPattern) {\n\t\tfilteredModels = fuzzyFilter(models, searchPattern, (m) => `${m.provider} ${m.id}`);\n\t}\n\n\tif (filteredModels.length === 0) {\n\t\tconsole.log(`No models matching \"${searchPattern}\"`);\n\t\treturn;\n\t}\n\n\t// Sort by provider, then by model id\n\tfilteredModels.sort((a, b) => {\n\t\tconst providerCmp = a.provider.localeCompare(b.provider);\n\t\tif (providerCmp !== 0) return providerCmp;\n\t\treturn a.id.localeCompare(b.id);\n\t});\n\n\t// Calculate column widths\n\tconst rows = filteredModels.map((m) => ({\n\t\tprovider: m.provider,\n\t\tmodel: m.id,\n\t\tcontext: formatTokenCount(m.contextWindow),\n\t\tmaxOut: formatTokenCount(m.maxTokens),\n\t\tthinking: m.reasoning ? \"yes\" : \"no\",\n\t\timages: m.input.includes(\"image\") ? \"yes\" : \"no\",\n\t}));\n\n\tconst headers = {\n\t\tprovider: \"provider\",\n\t\tmodel: \"model\",\n\t\tcontext: \"context\",\n\t\tmaxOut: \"max-out\",\n\t\tthinking: \"thinking\",\n\t\timages: \"images\",\n\t};\n\n\tconst widths = {\n\t\tprovider: Math.max(headers.provider.length, ...rows.map((r) => r.provider.length)),\n\t\tmodel: Math.max(headers.model.length, ...rows.map((r) => r.model.length)),\n\t\tcontext: Math.max(headers.context.length, ...rows.map((r) => r.context.length)),\n\t\tmaxOut: Math.max(headers.maxOut.length, ...rows.map((r) => r.maxOut.length)),\n\t\tthinking: Math.max(headers.thinking.length, ...rows.map((r) => r.thinking.length)),\n\t\timages: Math.max(headers.images.length, ...rows.map((r) => r.images.length)),\n\t};\n\n\t// Print header\n\tconst headerLine = [\n\t\theaders.provider.padEnd(widths.provider),\n\t\theaders.model.padEnd(widths.model),\n\t\theaders.context.padEnd(widths.context),\n\t\theaders.maxOut.padEnd(widths.maxOut),\n\t\theaders.thinking.padEnd(widths.thinking),\n\t\theaders.images.padEnd(widths.images),\n\t].join(\"  \");\n\tconsole.log(headerLine);\n\n\t// Print rows\n\tfor (const row of rows) {\n\t\tconst line = [\n\t\t\trow.provider.padEnd(widths.provider),\n\t\t\trow.model.padEnd(widths.model),\n\t\t\trow.context.padEnd(widths.context),\n\t\t\trow.maxOut.padEnd(widths.maxOut),\n\t\t\trow.thinking.padEnd(widths.thinking),\n\t\t\trow.images.padEnd(widths.images),\n\t\t].join(\"  \");\n\t\tconsole.log(line);\n\t}\n}\n"]}