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LLM Shim
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AI infrastructure, clearly composed

Every model.
One clear layer.

LLM Shim brings model access, request visibility, and workspace billing into one quiet control plane—so your team can focus on the product, not the plumbing.

Create your workspace Explore the platform
Consistent API surfaceUsage-level insightWorkspace-first controls
workspace / production

Workspace pulse

Good systems stay visible.

Live view

Requests

24.8k

+12.4%

Tokens

8.2m

+8.1%

Avg. latency

284ms

−6.2%

Request volume

Last 7 days

Requests
fast-chat182 ms
reasoning-pro426 ms

One layer of clarity

From request to ledger

01

Connect

02

Compose

03

Observe

04

Control

The control plane

Less operational noise. More useful signal.

A thoughtful layer between your application and model infrastructure, with the context your team needs to make confident decisions.

A steady front door

Keep your application oriented around one consistent interface while your model choices evolve behind it.

Web app
Worker
Agent
fast-chat
reasoning-pro
embedding-small

See every token

Move from a monthly surprise to an understandable stream of requests, model usage, latency, and cost.

fast-chat4.8m
reasoning-pro2.1m
embedding-small1.3m

Access with boundaries

Give each workspace a clear place for credentials, account settings, and operational controls.

sk_shim_••••••••••••Scoped

Billing you can read

Keep account credit, usage, and adjustments legible. Verified funding becomes credit; actual usage tells the rest of the story.

Credit

$248.00

Usage

$71.42

Net position

$176.58

A smaller integration surface

Your product stays focused on the experience.

Send a familiar request, choose a workspace model, and let the access layer handle the operational context around it.

Familiar request shape

A clean API boundary without another sprawling integration.

Deliberate access

Workspace credentials stay separate from your application experience.

Built-in context

Usage and request activity become part of the same operating picture.

request.shcURL
curl https://your-host/v1/chat/completions \
  -H "Authorization: Bearer $LLMSHIM_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "fast-chat",
    "messages": [
      { "role": "user", "content": "Hello, Shim" }
    ]
  }'
200 OK·composed, metered, visible

Designed for trust

The important things should stay understandable.

No mysterious layer between your team and the numbers. LLM Shim is shaped around clear boundaries, explicit states, and accountable operations.

Open by default

Readable interfaces and portable requests keep your application in your hands.

Verified before credited

Account funding follows verified upstream outcomes—not browser redirects or hopeful callbacks.

Operations with intent

Administrative actions are designed to be reviewed, approved, and traced.

Make your AI stack feel composed.

Start with a workspace built for clear model access, thoughtful visibility, and control that scales with your team.

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