Smart routing
Automatically routes queries to the optimal LLM based on task complexity, cost, and performance requirements โ no manual model selection.
LLMRouter is an intelligent routing system that optimizes LLM inference by dynamically selecting the most suitable model for each query โ balancing task complexity, cost, and performance in real time.
One endpoint in. The optimal model out. LLMRouter analyzes each request and routes it to the model that best fits the job.
POST /v1/route
Automatically routes queries to the optimal LLM based on task complexity, cost, and performance requirements โ no manual model selection.
Send simple queries to cheap, fast models and reserve frontier models for the hard ones. Typical deployments save 40โ70% on inference.
Routing decisions happen in milliseconds, so your users never feel the difference โ except in the bill.
OpenAI-compatible endpoint. Point your existing SDK at LLMRouter and start routing across providers instantly.
If a provider degrades or rate-limits, LLMRouter reroutes transparently to keep your app online.
Per-query traces of which model handled what, the cost, latency, and why it was chosen.
Already using the OpenAI SDK? Change one line. LLMRouter handles model selection for you.
# pip install openai
from openai import OpenAI
client = OpenAI(
base_url="https://api.llmrouter.sh/v1",
api_key="llmr_sk_...",
)
# Ask for "auto" โ LLMRouter picks the best model
resp = client.chat.completions.create(
model="auto",
messages=[{"role": "user",
"content": "Summarize this contract..."}],
)
print(resp.choices[0].message.content)
# โ routed to the cheapest model that meets quality
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