Stop runaway LLM spend before it hits your bill.

The zero-storage MCP proxy & telemetry engine for Claude Code, Claude Desktop, and OpenAI pipelines. One-line setup to govern budgets and prune context.

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02 / Drop-in proxy
one line · sdk-agnostic

Drop-In Active Proxy

Switch one line of code. Stop runaway loops and prune token bloat in real-time.

proxy.py
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["OPENAI_API_KEY"],
    base_url="https://api.synapseui.dev/v1",
)

resp = client.chat.completions.create(
    model="gpt-4o",
    messages=messages,
)
🔒 Zero Data Retention • Proxy passes through RAM only • EU Hosted

Enable Synapse Circuit Breaker & Pruning

live test simulation · governed

Tokens
5,410 (-63.5%)
Circuit Breaker
Active (Max 12 turns)
Est. Cost
$0.10 / call
synapse://simulation
pruning on
→ POST /v1/chat/completions
[PRUNED: git_diff, history_window]
circuit_breaker: armed max_turns=12
✓ billed_tokens=5410 saved=9410 latency=1.12s
02.5 / Try it — token sandbox
raw context · before~336 tokens

Edit freely — the sandbox runs locally, nothing leaves your browser.

pruned context · after

click optimize to prune

one line · drop-in proxy
openai · anthropic · sdk-agnostic
// before
base_url = "https://api.openai.com/v1"

// after — governed by Synapse
base_url = "https://api.synapseui.dev/v1"
03 / Inside the console

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.

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