The Optimizer · AI-agent cost optimization

Cut your agent bill.
Prove every dollar.

Point your base_url at us. We cut your LLM bill — quality-gated and measured to the dollar — and you pay only a share of what we measurably save. One line of config, your own provider keys.

free tier · one line of config · your own provider key

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cost · per request live model
$$$$00tokens →
baseline frontier, every call
optimized routed · pruned · stopped early
−0% measured cost, same quality bar
The integration

One line. Your SDK and keys, unchanged.

The Optimizer is a drop-in, OpenAI-compatible proxy. Change the base URL, keep your provider keys (they pass straight through). The dashboard lights up with real, attributed savings within minutes.

# before
client = OpenAI(api_key=KEY)

# after — that’s the whole change
client = OpenAI(
  api_key=KEY,
  base_url="https://rfa-labs.com/v1"
)
How it cuts the bill

A commodity gateway is table stakes. The savings live above it.

Caching and routing are commoditized. Our defensible value is the layer on top — quality-bounded, call-efficient, agent-native, and a memory that makes your savings compound the longer you run through us.

01 / gateway

Cache · route · fallback

Exact and semantic caching, model routing to the cheapest tier that holds quality, retry → fallback → circuit breakers. The commodity base — table stakes, done right.

02 / quality-bounded

Cut cost only when quality holds

An LLM-judge gates every downshift and cache hit against your threshold. Below the bar, we transparently fall back. We never serve you a degraded answer to save a dollar.

03 / verify-and-stop

Buy quality with the fewest calls

Spend extra reasoning only where it changes the answer, and stop the moment it’s good enough — the opposite of best-of-N spam. ~74% of best-of-16’s gain at ~1.2 samples.

04 / agent-native

Optimize whole agent runs

Memoize tool calls, prune carried context, reuse plan templates across a 30–50-step run — where agent cost actually lives. Plain prompt-caching can’t touch this.

The request pipeline

Every call walks the same path — cheapest first.

  1. 1
    cache

    the cheapest call is the one we never make

  2. 2
    trace

    make the call smaller — prune, memoize, dedupe

  3. 3
    route

    task-class → cheapest model that holds quality

  4. 4
    verify-and-stop

    spend extra compute only when quality requires it

  5. 5
    quality gate

    never serve below your threshold

  6. 6
    meter

    baseline vs actual = your savings, to the dollar

Talk to us

Bring us your highest-cost agent.

We’ll prove the savings on one workflow first — your support bot, your coding agent — then expand across your traffic.