01 / Synapse OS
Stop runaway LLM spend before it hits your bill.
Production teams see 15x cost variance between agent runs and thousands of dollars in ghost retries. Synapse OS gives you one-line proxy governance: attribution, loop firewalls, and team budgets that stop the bleeding.
Between identical agent runs depending on model mix and chain depth.
Silent retries and confused sub-agents burning budget with no business value.
Typical savings from proxy-level pruning, caching, and right-sizing.
// before base_url = "https://api.openai.com/v1" // after — governed by Synapse base_url = "https://api.synapseui.dev/v1"
The 60-Second AI System Health & Token Audit
Three questions. One report. Pinpoint context drift, token burn, and runtime exposure before they ship.
What is your primary development model toolchain?
● end-to-end encrypted · processed in your workspace
User Profile
Persona, tone, decision style
awaiting extraction
Project Knowledge Graph
Entities, files, relationships
awaiting extraction
Current Execution State
Pending tasks, blockers, next step
awaiting extraction
15x cost variance tamed
A multi-agent SaaS team saw identical requests swing from $0.80 to $12.40. Proxy attribution and a hard step budget cut variance to under 2x.
$1,200/week in ghost retries
A support bot silently re-sent context-heavy prompts on every 502. Loop detection blocked the storm and surfaced the culprit endpoint.
57% token reduction in RAG
An enterprise RAG pipeline doubled costs by embedding full threads every turn. Pruning and caching brought the bill down with no accuracy loss.
Point your SDK
Swap one base URL. No code rewrites, no library forks. Works with OpenAI, Anthropic, and any OpenAI-compatible client.
Proxy intercepts every call
Synapse sees model, prompt size, tool calls, latency, and cost per request in real time — without storing raw prompts in zero-retention mode.
Attribute, govern, alert
Token spend rolls up by user, team, and pipeline run. Budget caps and recursive-loop detection fire before the bill does.
Edit freely — the sandbox runs locally, nothing leaves your browser.
click optimize to prune
Token Attribution
Two-layer breakdown of every pipeline run and the agent steps inside it. Pinpoint the recursive loop that burned the quota.
Smart Firewall & Guardrails
Hard budget caps, anomaly thresholds, and a live alert feed. Stop runaway agents before they leave the sandbox.
Team Governance
Multi-tenant workspaces, scoped proxy keys, and department-level spend + pruning savings analytics.
no traffic yet
Point your SDK at https://api.synapseui.dev/v1 to start streaming real metrics into this page.
Baseline monthly spend
$696.5k
$4.76M/yr · 39.7B tokens pruned monthly
Your prompts stay yours.
We never read or store the text of your prompts or model responses. We only track the metadata needed to govern cost, access, and production guardrails.
AES-256 key encryption
Proxy and API keys are encrypted at rest with AES-256. Keys never leave your workspace in plaintext.
Read-only tracking
We track token usage, cost attribution, and guardrail events — never the underlying prompt or response text.
Zero prompt retention
Prompt and response text are never read, logged, or stored by Synapse OS. Only metadata passes through.
Questions? Review our full Trust Center or email founder@synapseui.dev.
06 / Ready to govern
Stop bleeding AI costs. Govern every token in production.
One line of code, full attribution, recursive-loop guardrails, and team-scoped budgets. Built for engineering teams shipping LLMs at scale.