One URL swap. Your API keys. A self-learning router that sends simple queries to cheap models and hard queries to quality models — automatically.
# Before
client = OpenAI(base_url="https://api.openai.com/v1")
# After — that's it
client = OpenAI(base_url="https://api.feeg.ai/v1")
21 providers. 99+ models. One URL.
67% of your API calls don't need GPT-4 or Claude Sonnet. You're paying premium prices for "Hello world."
Hardcoded model tiers can't adapt when your workload shifts. What's "simple" today isn't tomorrow.
You can't review every query and decide which model handles it. You need a system that learns.
Change one line of code. Everything else stays the same — your SDK, your prompts, your logic.
base_url="https://api.feeg.ai/v1"
FEEG never sees or stores your prompts or responses. Your provider keys are encrypted at rest and never leave your tenant.
Every query teaches the router. Simple questions go cheap. Complex reasoning goes to your best model. No labels. No configuration. It just adapts.
FEEG runs an independent LLM judge on a sample of every routed query, scoring accuracy, relevance, depth, and clarity. If a cheap model isn't cutting it, the router learns and sends the next similar query to a better one.
In testing, FEEG's judge caught quality gaps that traditional metrics completely missed — downgrading a model's share from 96% to 60% when quality didn't hold up.
Quality is monitored. Always. Automatically.
FEEG takes 20% of your verified savings. If we save you nothing, you pay nothing.
| Your Monthly LLM Spend | FEEG Saves (~78%) | Your 20% Cost | You Keep |
|---|---|---|---|
| $500 / mo | $392 | $78 | $314 |
| $1,000 / mo | $784 | $157 | $627 |
| $5,000 / mo | $3,920 | $784 | $3,136 |
| $10,000 / mo | $7,840 | $1,568 | $6,272 |
| FEEG | DIY Routing | Static Rules | |
|---|---|---|---|
| Setup time | 5 minutes | Weeks | Days |
| Adapts to workload | Automatically | You maintain it | Never |
| Quality monitoring | Built-in judge | Build your own | None |
| Cost to you | 20% of savings | Engineering time | Overpaying |
| Risk | Zero — pay only if you save | High — may not work | Medium — breaks silently |
No. FEEG routes your request to the selected model and streams the response back. We log the model used, token counts, and cost for your savings dashboard — never the content of your prompts or responses. Your API keys stay in your environment, not ours.
If FEEG is unreachable, your client receives a standard connection error, just like any API outage. We recommend configuring a fallback base URL in your client for high-availability workloads. FEEG runs on infrastructure with automatic restarts and health monitoring.
Every query logs two numbers: the actual cost (what the routed model charged) and the counterfactual cost (what your default model would have charged for the same query). The difference is your savings. You can audit every query, every token, every penny in your real-time dashboard.
99+ models across 21 providers. Major providers: OpenAI (GPT-4o, GPT-4.1, o1, o3-mini), Anthropic (Claude Opus, Sonnet, Haiku), Google (Gemini 2.5 Pro, 2.5 Flash, 2.0 Flash), Mistral (Large, Small, Codestral, Pixtral), DeepSeek (Chat, Reasoner), xAI (Grok). Inference platforms: Groq, Together, Fireworks, Cerebras, SambaNova, Lepton. Enterprise: Azure OpenAI, AWS Bedrock, OpenRouter, Perplexity. Specialized: Cohere, AI21, Replicate, Hugging Face, Ollama (local). You choose which models are in your routing pool.
Yes. FEEG's built-in LLM judge monitors response quality across accuracy, relevance, depth, and clarity. If a cheaper model consistently underperforms on certain query types, the router automatically shifts those queries to a higher-quality model.
Immediately. FEEG starts with intelligent priors — cheap models for simple queries, quality models for complex ones. The router improves over the first few hundred queries as it learns your specific workload patterns, but savings begin from query one.
FEEG still saves you money by routing between models within a single provider. For example, routing simple queries to Haiku instead of Sonnet. In our Anthropic-only tests, savings were 48.5%. With multi-provider routing, savings reach 78.4%.
No. FEEG's routing engine adapts to your query patterns using lightweight mathematical signals (embedding similarity and cost data) — not your actual content. Your data is never stored, shared, or used for training.
OpenRouter and Portkey give you unified access to multiple providers — you still choose which model to use. FEEG chooses for you, automatically, and gets better over time. It's the difference between a switchboard and an autopilot.
No. Monthly invoicing via Stripe, cancel anytime. You only pay 20% of verified savings — if FEEG doesn't save you money, you pay nothing.