One line.
Every LLM call, watched and optimized.

Production visibility into every LLM call: cost, latency, errors, and quality, in real time. Then cut 20–30% without touching quality.

Drop-in proxy · <50ms overhead · keys never stored · observe-only by default, no prod changes.

Start free, see your spend in 5 min See pricing →

7-day trial · no card · $9.50/mo with EARLY50 · cancel anytime

Tokens analyzed · MTD

14,820,400

and counting

Saved this month

$4,128

across all early teams

Quality match · evals

96.4%

vs golden answers · live

Last 3 interceptionsLive

2s agoopus → haiku · classify-intent-$0.0036
9s agocache hit · /faq embedding-$0.0021
14s agoregression caught · summarize v3blocked

How it works

From black box to one-click fixes, in an afternoon.

No SDK rewrite, no agent in your stack. A drop-in proxy at the edge, under 50ms of overhead, and your provider keys never stored.

Plug in one line

Point your app at our drop-in proxy — one line, no SDK rewrite. Observe-only by default means zero changes to production. Turn on optimizations when you’re ready.

See where the money leaks

Every call lands with cost, tokens and latency, sliced by model, app, or tag. Tokenwise flags the waste: oversized prompts loaded on every call, cache misses, and Opus where Haiku would do.

Apply the fix, keep the quality

One-click fixes: model swaps, caching, prompt trims. Each one is replay-checked against your own quality bar before it reaches you. Apply it, or ignore it. Nothing changes silently.

Start free, see your spend in 5 min

Where the money goes

Your bill isn’t high.
It’s leaking.

Most of an LLM bill is waste you can’t see: prompts loaded but never read, calls that should have been cached, and expensive models doing cheap work. Tokenwise names each leak and the fix, with the dollar figure attached.

Find your leaks for free

Before

$680/mo

After · −31%

$470/mo

38%

Oversized system prompt on every call

A 2,140-token instruction block sent on requests that never used it.

Trim prompt

21%

Cache misses & prefix invalidations

Repeated near-identical /faq and /classify calls re-billed in full.

Enable semantic cache

14%

Opus on work Haiku handles

/summarize ran on Opus at a 96% quality match on Haiku.

Switch model

Illustrative breakdown of a $680/mo workspace · your numbers depend on your own traffic.

app.tokenwisehq.com/dashboard

Overview · Last 14 days

Acme AI app

7d14d30d

Saved this month

$4,128

+22.0%

Total cost

$2,016

-36.0%

Requests

1.84M

+12.0%

P95 latency

844ms

+2.0%

Cost over time

By model

claude-opus-4$842.12

claude-haiku-4-5$312.40

gpt-4o-mini$186.60

gemini-2.5-pro$94.53

48 teams ship with Tokenwise, routing 1.2B tokens a month

Monitor · Optimize · Protect

Everything after the
first line of code.

Three jobs, one workspace, one bill: see where the money goes, cut the waste, and make sure cheaper never means worse.

01Monitor

See every call from your app
and your agents.

Cost, latency, errors and tokens, sliced by model, app, or tag. The dashboard updates as fast as your traffic does, with a 14-day forecast pinned at the top so spend never surprises you again.

See the dashboard

Saved

$4,128

+22%

Spent

$2,016

-36%

Cost · 14 days$2,016

02Optimize

Cut the waste, one
click at a time.

We replay your real traffic against cheaper models, find cache opportunities, and flag bloated prompts, then hand you one-click fixes. Each one is replay-checked against your quality baseline before it reaches you. Switch with proof, not hope.

See recommendations

Recommendation

Opus → Haiku on /summarize

quality match 96%

$842

/mo

Recommendation

Cache /classify-intent

−180ms p95

71%

hit rate

Recommendation

Trim 2,140-token system prompt

quality unchanged

$94

/mo

03Protect

Cheaper, never
worse.

Cost spikes, latency regressions and quality dips, caught and routed to email, Slack or Discord before they hit your bill or your users. Budget caps auto-roll back to the last known-good config, and LLM-as-judge scoring makes sure a cost cut never quietly degrades output.

See the safeguards

#engineering

tokenwise · 2m ago

Cost spike

Spend up +84% in the last hour

Workspace prod-eu · model claude-opus-4 · 12.4× normal traffic since 12:18.

[email protected]

P95 latency regression detected

/classify-intent · 814ms → 1480ms

· One change

One SDK for every provider.

Keep your existing SDK. Swap the base URL. Tokenwise routes the call to the right provider, caches when it can, and logs every byte for the dashboard. No code rewrites needed.

openai.ts

import OpenAI from "openai";
const client = new OpenAI({
  apiKey: process.env.OPENAI_API_KEY,
  baseURL: "https://proxy.tokenwisehq.com/openai/v1",
  defaultHeaders: {
    "X-Tokenwise-Key": process.env.TOKENWISE_KEY!,
  },
});
const reply = await client.chat.completions.create({
  model: "gpt-4o-mini",      // or "claude-haiku-4-5", "gemini-2.5-pro", …
  messages: [{ role: "user", content: "Hello!" }],
});

One base URL, every provider

OpenAIAnthropicGoogle GeminixAI GrokVercel AI SDKOpenAIAnthropicGoogle GeminixAI GrokVercel AI SDK

+ Groq, DeepSeek, Mistral, OpenRouter, Cohere, Together, Fireworks, Perplexity, Bedrock.

Start free, see your spend in 5 min Read the docs →

How we compare

We don't just log your LLM calls.

We log them, find the waste, and help you fix it, all without redeploying.

	Tokenwise 1-line setup	Helicone Maintenance mode	Langfuse Dev-heavy	LangSmith LangChain-only
Setup time	5 min · one URL	15 min	~1 hr · SDK + traces	~1 hr · LangChain only
Active development	Weekly releases	Paused	Active	Active
One-click apply (no redeploy)	Swap, cap, trim, cache		Manual	Manual
A/B experiments on real traffic	Built in · auto-rollback		Partial	LangChain only
Semantic caching	Zero-config · at edge	Exact only
Weekly Insights email	Every Monday, your timezone
Multi-workspace / team roles	Up to 50 · 4 role tiers	Limited	Yes	Per-seat
Public REST API	Workspaces, requests, evals	Yes	Yes	Yes
Provider lock-in	None · BYOK	BYOK	BYOK	LangChain
Proxy overhead	<50 ms · 300+ POPs	~120 ms	n/a · async traces	n/a · async traces
Starts at	$9.50/mo with EARLY50	$0 → $50/mo	$0 → $59/mo	$0 → $39/seat

By the numbers

Already routing 1.2 billion tokens a month, catching 47 regressions before users saw them across 48 teams shipping with Tokenwise.

“I built Tokenwise because I was spending hours every week digging through OpenAI + Anthropic dashboards trying to figure out why my LLM bill kept doubling, and I knew I wasn’t the only one. One line of code, one dashboard, one weekly email. Ship faster, spend less, see everything.”

Théophile Louvart

@toflou · Founder, Tokenwise

Security

Your prompts are your prompts.

Provider keys never touch our disk. Prompts and cached completions sit as ciphertext at rest. Your proxy key is hashed before it reaches our database. Not even we can read it back.

At rest

Your prompts as ciphertext.

Prompts and cached completions are encrypted at rest with strong, modern cryptography. We don't keep a plaintext copy anywhere.

BYOK proxy

Your provider key never lands on our disk.

Your OpenAI, Anthropic and OpenRouter keys flow through the proxy to the upstream provider and are dropped from memory. We don't log, cache, or persist them.

Access keys

We never store them in clear.

Your access keys are hashed with a modern algorithm before they reach our database. We keep the short prefix you see in the UI; the secret half is yours alone.

In transit

Encrypted from edge to database.

Every hop (app to edge, edge to ingest, ingest to storage) runs over modern TLS. HSTS preload, strict CSP, and locked-down headers on every response.

Your choice

Payload storage is opt-out.

Flip prompt storage off per workspace or per tag. We keep cost, latency and tokens; the prompt body is dropped. Insights and evals follow the same toggle.

Outbound

Webhooks go to allowlisted destinations only.

Slack and Discord webhook URLs are validated against an allowlist of trusted destinations before save. Auth, billing and key endpoints sit behind strict rate limits.

Read the full security model Found something? [email protected]

Pricing

Two plans. 50% off for the first 100.

7 days free. No card. Apply EARLY50 at checkout to lock in half-price forever.

Early access

50% off Indie or Pro. Forever. First 100 subs.

Code EARLY50 applies automatically when you click Start.

84/ 100 left

Ends Jul 31, 2026

Frequently asked.

01Who is Tokenwise for?

Developers and small teams running LLM features in production: apps and SaaS that call the OpenAI, Anthropic, Google, or other model APIs through the Vercel AI SDK, LangChain, or a plain SDK. If your monthly LLM bill is between $50 and $2,000, Tokenwise is built for you.

02Which providers work?

Native path providers: OpenAI, Anthropic, Google Gemini (OpenAI-compatible shim), xAI Grok, Groq, DeepSeek, Mistral, and OpenRouter (which adds 200+ more: Meta Llama, Cohere, Qwen, Perplexity, etc.).

On the SDK side: openai (works for OpenAI / xAI / Gemini all on the same SDK), @anthropic-ai/sdk, ai (Vercel), langchain, plain fetch(), cURL. Onboarding has copy-paste snippets for each.

03What happens to my API keys?

They stay in your environment. The proxy forwards your provider key upstream and drops it from memory. We never persist provider keys. Not in databases, not in logs, not in backups.

Request metadata (model, tokens, latency, status) is always logged. Full payload storage is on by default and you can turn it off per workspace or per tag.

04How fast is the proxy?

Median overhead is 37 ms. p95 sits under 50 ms. Cloudflare Workers in 300+ cities. The LLM response itself is 400 to 2,000 ms, so the proxy is in the noise.

05What if quality drops after a model switch?

Every recommendation gets evaled before it goes live. LLM-as-judge scores recent prompts on the new model. You can apply directly, run an A/B on 5 to 50% of traffic, or let Watchdog auto-rollback if scores drop more than 10%.

06How does the trial work?

No card to start. 7 days of full Indie access. After day 7 the dashboard prompts you to subscribe. The proxy keeps forwarding so your app stays up while you decide.

07Is EARLY50 really forever?

Yes. EARLY50 takes 50% off every renewal of Indie ($19 to $9.50) or Pro ($79 to $39.50) for as long as you stay subscribed. Capped at 100 redemptions or July 31, 2026, whichever comes first.

08Is there a public API?

Yes. tw_api_* keys hit /api/v1/public/* for workspaces, requests, metrics, and evals. 1,000 calls/hour on Indie, 10,000/hour on Pro. Docs at /api-docs.

Ship with confidence on every LLM call.

One line of code. Seven-day trial, no card. EARLY50 locks in half-price forever.

Start free, see your spend in 5 min See pricing →

No card · 5-minute setup · cancel anytime

One line.Every LLM call, watched and optimized.

From black box to one-click fixes, in an afternoon.

Plug in one line

See where the money leaks

Apply the fix, keep the quality

Your bill isn’t high.It’s leaking.

Acme AI app

Cost over time

By model

Everything after thefirst line of code.

See every call from your appand your agents.

Cut the waste, oneclick at a time.

Cheaper, neverworse.

One SDK for every provider.

We don't just log your LLM calls.

Already routing 1.2 billion tokens a month, catching 47 regressions before users saw them across 48 teams shipping with Tokenwise.

Your prompts are your prompts.

Your prompts as ciphertext.

Your provider key never lands on our disk.

We never store them in clear.

Encrypted from edge to database.

Payload storage is opt-out.

Webhooks go to allowlisted destinations only.

Two plans. 50% off for the first 100.

Become an AI Engineer in 7 days.

Frequently asked.

Ship with confidence on every LLM call.

One line.
Every LLM call, watched and optimized.

Your bill isn’t high.
It’s leaking.

Everything after the
first line of code.

See every call from your app
and your agents.

Cut the waste, one
click at a time.

Cheaper, never
worse.