bun run scripts/get-trending-models.ts

bun run scripts/get-trending-models.ts > trending-models.json

bun run scripts/get-trending-models.ts | jq '.'

bun run scripts/get-trending-models.ts --help

{
  "metadata": {
    "fetchedAt": "2025-11-14T10:30:00.000Z",
    "weekEnding": "2025-11-10",
    "category": "programming",
    "view": "trending"
  },
  "models": [
    {
      "rank": 1,
      "id": "x-ai/grok-code-fast-1",
      "name": "Grok Code Fast",
      "tokenUsage": 908664328688,
      "contextLength": 131072,
      "maxCompletionTokens": 32768,
      "pricing": {
        "prompt": 0.0000005,
        "completion": 0.000001,
        "promptPer1M": 0.5,
        "completionPer1M": 1.0
      }
    }
    // ... 8 more models
  ],
  "summary": {
    "totalTokens": 4500000000000,
    "topProvider": "x-ai",
    "averageContextLength": 98304,
    "priceRange": {
      "min": 0.5,
      "max": 15.0,
      "unit": "USD per 1M tokens"
    }
  }
}

{
  fetchedAt: string;        // ISO 8601 timestamp of when data was fetched
  weekEnding: string;       // YYYY-MM-DD format, end of ranking week
  category: "programming";  // Fixed category
  view: "trending";         // Fixed view type
}

{
  rank: number;             // 1-9, position in trending list
  id: string;               // OpenRouter model ID (e.g., "x-ai/grok-code-fast-1")
  name: string;             // Human-readable name (e.g., "Grok Code Fast")
  tokenUsage: number;       // Total tokens used last week
  contextLength: number;    // Maximum input tokens
  maxCompletionTokens: number; // Maximum output tokens
  pricing: {
    prompt: number;         // Per-token input cost (USD)
    completion: number;     // Per-token output cost (USD)
    promptPer1M: number;    // Input cost per 1M tokens (USD)
    completionPer1M: number; // Output cost per 1M tokens (USD)
  }
}

{
  totalTokens: number;      // Sum of token usage across top 9 models
  topProvider: string;      // Most represented provider (e.g., "x-ai")
  averageContextLength: number; // Average context window size
  priceRange: {
    min: number;            // Lowest prompt price per 1M tokens
    max: number;            // Highest prompt price per 1M tokens
    unit: "USD per 1M tokens";
  }
}

undefined

**Implementation:**
```typescript
// Agent reads output
const data = JSON.parse(bashOutput);

// Extract top 5 models
const topModels = data.models.slice(0, 5);

// Present to user
const modelList = topModels.map((m, i) =>
  `${i + 1}. **${m.name}** (\`${m.id}\`)
   - Context: ${m.contextLength.toLocaleString()} tokens
   - Pricing: $${m.pricing.promptPer1M}/1M input
   - Usage: ${(m.tokenUsage / 1e9).toFixed(1)}B tokens last week`
).join('\n\n');

// Ask user to select
const userChoice = await AskUserQuestion(`Select model for review:\n\n${modelList}`);

undefined

**Output:**
```json
{
  "name": "Gemini 2.5 Flash",
  "id": "google/gemini-2.5-flash",
  "contextLength": 1000000,
  "price": 0.075
}
{
  "name": "Grok Code Fast",
  "id": "x-ai/grok-code-fast-1",
  "contextLength": 131072,
  "price": 0.5
}

undefined

undefined

undefined

---

✗ Error: Failed to fetch rankings: fetch failed

curl -I https://openrouter.ai/rankings

2. **Check URL in browser:**
   - Visit https://openrouter.ai/rankings
   - Verify page loads and shows programming rankings
   - If URL redirects, update RANKINGS_URL constant in script

3. **Check firewall/proxy:**
```bash

4. **Use fallback data:**
   - Keep last successful output as fallback
   - Use cached trending-models.json if < 14 days old

✗ Error: Failed to extract JSON from RSC format

curl "https://openrouter.ai/rankings?category=programming&view=trending&_rsc=2nz0s" | head -200

Warning: Model x-ai/grok-code-fast-1 not found in API, using defaults

curl "https://openrouter.ai/api/v1/models" | jq '.data[] | select(.id == "x-ai/grok-code-fast-1")'

jq '.metadata.fetchedAt' trending-models.json

**Solutions:**

1. **Re-run script:**
```bash
bun run scripts/get-trending-models.ts > trending-models.json

const data = JSON.parse(readFile("trending-models.json"));
const fetchedDate = new Date(data.metadata.fetchedAt);
const daysSinceUpdate = (Date.now() - fetchedDate.getTime()) / (1000 * 60 * 60 * 24);

if (daysSinceUpdate > 7) {
  console.warn("Data is over 7 days old, consider refreshing");
}

undefined

undefined

1. Try to fetch fresh data
   - Run: bun run scripts/get-trending-models.ts
   - If succeeds: Use fresh data
   - If fails: Continue to step 2

2. Try cached data
   - Check if trending-models.json exists
   - Check if < 14 days old
   - If valid: Use cached data
   - If not: Continue to step 3

3. Fallback to hardcoded models
   - Use known good models from agent prompt
   - Warn user data may be outdated
   - Suggest manual refresh

undefined

**Pattern 2: Cached (Fast Access)**
```bash

**Pattern 3: Background Refresh (Non-Blocking)**
```bash

---