Observe real work
Watch representative requests, spend, latency, and success signals before a team changes any production route.
AI Gateway
Stable execution for every approved AI route.
Connect once, then let QuotaFlow schedule eligible sources around the cost, SLA, RPM, source, and fallback rules that apply to each project.
scheduled request
POST /v1/chat/completions
eligible sources evaluated
cost + SLA + RPM considered
route selected within policy
execution evidence recordedAUTOMATED EXPERIMENT PLATFORM
Observe the work. Test the path. Learn your route.
QuotaFlow observes representative production work, classifies it automatically, evaluates cheaper candidates by task-specific metrics, and produces the evidence needed to train a routing policy for your business. We agree the quality, cost, latency, and rollout guardrails with your team before anything moves.
Classify the task
Group PDF reports, retrieval, support replies, and coding automatically, then attach the right quality and speed metric.
Run candidate tests
Test lower-cost models and lower-cost provider paths against the baseline for every workload segment.
Train your routing policy
Turn the recommendation into a routing model for your business after agreeing the core quality, cost, latency, and rollout guardrails.
Different sources. One clear operating decision.
See each production task move from its current model to a verified lower-cost path.
Before · production todayAfter · verified candidate
PDF reporting
Claude Sonnet
Claude SonnetPDF reportingClaude Haiku56% lower cost · p95 +7%
Claude HaikuSupport replies
GPT-5
GPT-5Support replies
Gemini Flash63% lower cost · 24% faster
Gemini FlashGrounded retrievalClaude Sonnet
Claude SonnetGrounded retrieval
DeepSeek V448% lower cost · 98.9% quality match
DeepSeek V4Coding reviewGPT-5
GPT-5Coding reviewGPT-5 via lower-cost provider22% lower cost · p95 unchanged
GPT-5 via lower-cost providerWHY QUOTAFLOW
Evaluate when you need it. Let every result compound.
Keep developers focused on the best product experience. QuotaFlow provides an evaluation system on demand, then automates the repetitive work of classifying, testing, and learning from the results.
Evaluate on demand. Build nothing new.
Start a real evaluation when a cost or routing question appears. Your team does not need to build and maintain a separate evaluation system.
Automate evaluation on the fly
AI groups similar work, applies the right success metrics, and runs the promising candidate tests first so the loop moves faster.
Let each result make the next one better
Evidence from similar tasks compounds into stronger candidate selection and helps train a routing policy for your business.
How it works
Use the best model for the product. QuotaFlow runs the evaluation and learning loop around your existing stack.
- 1Change two values
Point your existing client to a new base URL and API key. Your SDKs, agents, prompts, and harnesses stay in place.
- 2Evaluate when it matters
Start on demand, or let QuotaFlow identify a high-cost or high-volume workload worth evaluating from live signals.
- 3Compound the evidence
Similar-task results improve which candidates are tested next and inform the routing policy you approve for production.
VERIFIED CANDIDATES
Open source has closed the gap.
For many production tasks, a lower-cost candidate can match the baseline closely enough to pass. QuotaFlow measures the gap on your workload instead of asking you to trust a generic benchmark.
GPT & Codexsupported model familyExecute against eligible OpenAI-family sources with route status and limits visible.
Claudesupported model familySchedule eligible Claude sources against availability, source, and fallback rules.
Geminisupported model familyUse current status and throughput signals when selecting eligible Gemini routes.
GLMsupported model familyKeep additional approved families behind the same execution and evidence layer.
Baseline qualityCandidate qualityMonthly spendTraffic ruleReferencePass thresholdMeasuredGuarded
ILLUSTRATIVE REPORT
What you'd save by switching to open source.
Select a real workload, compare the baseline with a verified candidate, and see the cost and latency change before traffic moves.
WORKLOAD: PDF report extraction
BASELINE: Claude Sonnet 4.6
CANDIDATE: DeepSeek
QUALITY GATE 98.7% match
COST CHANGE -58%
P95 LATENCY -12%
DECISION Ready for guarded rollout// Keep your current integration
const client = new OpenAI({
apiKey: process.env.QUOTAFLOW_API_KEY,
baseURL: "https://api.quotaflow.ai/openai/v1"
});
// Your SDK, agents, and harness stay the same.BUILT FOR PRODUCTION
LLM inference built for demanding products.
OpenAI-compatible LLM API
Keep existing SDK calls, change the base URL and key, then attach metadata for reporting.
Claude-compatible Messages
Claude-style clients can use exact enabled Claude model ids returned by discovery.
Gemini-compatible generateContent
Gemini-native clients can keep countTokens and cached-content workflows where supported.
Execution evidence
Track the selected route, source, status, limits, owner, and workflow for each request.
Endpoint discovery
Use /models to verify exactly which model ids are enabled for a key.
Project-level control
Apply different scheduling goals and boundaries to different projects without changing client integrations.
Security
Your data stays yours.
FAQ
Connect your approved routes.
Start with automatic scheduling, then add advanced cost, SLA, RPM, source, and fallback requirements when your projects need them.
Eligible-source scheduling, route-status visibility, and execution evidence in one API.
Get started