DeepSeek for the hard reasoning work.
Keep one OpenAI-compatible client and call DeepSeek on your own OpenRouter key. ProxyLLM wraps the traffic with spend tracking, budget caps, and request logs.
Free for 7 days, then $129/month. Bring your own model keys. No inference markup.
Three steps to connect.
Add an OpenRouter key
DeepSeek ships through OpenRouter today. Paste your own OpenRouter key into ProxyLLM once; native DeepSeek key storage can land later without changing your client.
Use the OpenAI endpoint
Point any OpenAI-compatible client at https://api.proxyllm.ai/v1 and authenticate with your ProxyLLM key.
Pick the model per job
Call deepseek/deepseek-r1 for reasoning-heavy jobs and DeepSeek chat models for extraction, classification, and high-volume background work. The choice stays in your code.
One endpoint for DeepSeek.
The deepseek/ prefix passes through your configured OpenRouter key today.
from openai import OpenAI
client = OpenAI(
base_url="https://api.proxyllm.ai/v1",
api_key="pk_live_...", # your ProxyLLM key
)
r = client.chat.completions.create(
model="deepseek/deepseek-r1",
messages=[{"role": "user", "content": "Solve and explain this bug."}],
)Run your AI workloads on your ChatGPT subscription.
ProxyLLM runs OpenAI's Codex for you, signed in with your own ChatGPT account. Your apps call one OpenAI-compatible endpoint and the work bills to your flat plan instead of per-token API pricing.
Put DeepSeek behind a budget.
Set caps per sub-key and watch cost per request, with no markup on inference. OpenAI-bound work can run through Codex Hosted on your ChatGPT subscription; DeepSeek passes through on your own key.