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Updates: Reporting, Real-Time Pricing & More

· 2 min read
Shawn Gregg
Shawn Gregg
CTO of Neuronic AI
Platform Improvements

📢 Update Announcement 📢​

We've rolled out several improvements and fixes to streamline functionality, enhance reporting, and improve the user experience.

✅ Model Reporting Updates​

  • Image models and models with special characters now report latency properly
  • Coding models are now being actively tested for availability and latency metrics

⚙️ Real-Time Price Reporting​

We now provide real-time input/output cost reporting based on actual queries and real provider charges. This gives you the most precise breakdown of model usage costs.

Example (models route):

{
  "enabled": 1,
  "available": 1,
  "type": "llm",
  "subtype": null,
  "provider": "bedrock",
  "id": "titan-text-premier-v1",
  "model": "titan-text-premier-v1",
  "route": "amazon.titan-text-premier-v1:0",
  "description": null,
  "max_tokens": 32000,
  "max_response_tokens": 32000,
  "latency": "7022/8810/395/na/na/5409",
  "query_count": 56,
  "img_price": null,
  "img_json": null,
  "avg_cost": 0.0002729346,
  "price_type": "token",
  "input_cost": 1.00123355,
  "output_cost": 1.49994697
}

Details:

  • input_cost and output_cost reflect real costs per million tokens (e.g., $1 per million input tokens, $1.50 per million output tokens)
  • If no specific cost data is available, the avg_cost column provides an average cost per 1000 characters—useful but less precise

🌐 UI and SEO Improvements​

  • Fixed the Robots file to improve web crawler behavior
  • Created a SiteMap for both the root site and documentation
  • Added Meta Tags to the root site
  • Implemented OG Schema & OG Image Generator to generate rich previews when sharing links
  • Included missing Meta Tags to ensure better indexing

🐞 Bug Fixes​

  • Resolved an issue causing slow load times on the User Interface

Thanks for your continued support!

The APIpie Team 🥧