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🚀 OpenRouter Ultra V1.1

A production-ready AI gateway built for reliability, structured outputs, and cost-efficient LLM workflows.

OpenRouter Ultra is not just another proxy. It is an intelligent execution layer on top of OpenRouter that makes AI responses usable in real-world systems.

⚡ Why OpenRouter Ultra?

Most LLM APIs break in production because of:

• ❌ invalid JSON
• ❌ inconsistent outputs
• ❌ high token costs
• ❌ unpredictable latency
• ❌ no observability

Ultra solves this.

🧠 What makes Ultra different

✅ Reliable Structured Outputs

Ultra includes a multi-stage repair + validation pipeline:

• removes prose and markdown wrappers
• fixes quotes and trailing commas
• balances brackets
• enforces JSON schema

→ You get usable data instead of broken responses

⚡ Smart Routing (Speed, Cost, Quality)

Ultra automatically selects the best model based on:

• task type (chat, extraction, coding, etc.)
• latency targets
• cost constraints

Available presets:

• ultra-fast → lowest latency
• ultra-smart → best quality
• ultra-private → privacy-focused
• ultra-json → structured output optimized
• ultra-batch → high-throughput processing

💸 Cost & Budget Control

Set limits directly in your request:

• max cost per request
• max tokens
• model fallback strategies

→ prevents runaway LLM costs in production

🔍 Full Observability

Every request returns:

• latency
• selected model
• routing decisions
• repair status
• estimated cost

Plus debug endpoints:

• /v1/request/:id
• /v1/debug/:id

🧪 Built-in Repair Engine

Ultra automatically fixes common LLM issues:

• missing quotes in JSON
• invalid syntax
• trailing commas
• broken structures

→ dramatically reduces parsing failures

🔁 Optional TOON Format (Token Optimized)

Ultra supports an alternative format for structured data:

• less verbose than JSON
• fewer tokens for tabular data
• easier for LLMs to generate correctly

Content-Type: text/plain
inputFormat: "toon"
outputFormat: "toon"

Use when working with large structured payloads or batch jobs.

🧩 API Overview

Base Endpoint

POST /v1/ultra

Example Request

{
"input":"Extract name and age from: John is 32 years old",
"mode":"ultra-extract",
"jsonSchema":{
"type":"object",
"properties":{
"name":{"type":"string"},
"age":{"type":"number"}
}
}
}

Example Response

{
"success":true,
"data":{
"name":"John",
"age":32
},
"meta":{
"latencyMs":842,
"model":"anthropic/claude-3-haiku",
"costUsd":0.0021,
"repairApplied":true
}
}

🔧 Specialized Endpoints

🧠 Core Concepts

1. Ultra Modes

Define how the system behaves:

• speed vs quality vs cost
• structured vs freeform
• batch vs realtime

2. Repair Pipeline

Every response passes through:

1. cleanup
2. syntax fixing
3. structure repair
4. schema validation

3. Task Awareness

Ultra detects intent:

• extraction
• summarization
• chat
• coding

→ routes to optimal model chain

📦 Use Cases

• AI-powered SaaS backends
• data extraction pipelines
• automation workflows
• marketplaces & platforms
• batch processing jobs
• agent systems

🚀 Why this matters

Most developers spend hours fixing:

• broken JSON
• inconsistent outputs
• model switching logic

Ultra handles this automatically.

→ You focus on your product → Ultra handles the AI complexity

🔑 Authentication

Use your OpenRouter API key:

$Authorization: Bearer YOUR_OPENROUTER_KEY

⚙️ Running on Apify

This actor runs as a serverless AI gateway:

• scalable
• production-ready
• easy to integrate
• supports batch + realtime

🤝 Contributing / Feedback

If you're building serious AI systems, feedback is welcome.

⚡ TL;DR

OpenRouter Ultra turns:

LLM output → broken JSON → debugging hell

into:

LLM output → validated structured data → production-ready