How Koten AI optimizes your LLM requests

Interception

Koten acts as a transparent proxy between your application and your LLM provider. Simply change your client's base URL. No other modifications are needed.

import openai

openai.base_url = "https://gateway.koten.ai/v1"
openai.api_key = "KOTEN_API_KEY"

response = openai.chat.completions.create(
    model="gpt-4o",
    messages=[{"role": "user", "content": "Hello Koten"}]
)

Analysis

Each incoming request is analyzed in real-time. Our algorithms detect redundancies, useless tokens, and optimizable structures without ever altering the semantic intent.

• ✓Redundancy and repetition detection in prompts
• ✓Identification of tokens with low information value
• ✓Context structure analysis (system, user, assistant)
• ✓Potential savings estimation per request type

Compression

Tokens are compressed without semantic loss. Koten reformulates and optimizes prompt structure to consume fewer tokens while preserving full meaning.

Intelligent Routing

Koten selects the most cost-efficient path based on request type, active model, and complexity. For simple tasks, a less expensive model may be recommended.

• ✓Task complexity analysis
• ✓Model to complexity matching
• ✓Respect for quality constraints you define
• ✓Automatic fallback in case of provider failure

Monitoring

Each request is analyzed and metrics are available in real-time in your dashboard. Track tokens saved, cost avoided, and performance by use case.

• ✓Tokens saved per request and globally
• ✓Total cost without Koten vs with Koten
• ✓Performance and added latency (< 10ms)
• ✓Usage breakdown (Chat, RAG, Agents)