Stellahub · Unified AI access for teams

Make AI usage visible, governed, and ready to scale

Connect compatible clients through one operational gateway.
Keep keys, quotas, requests, and usage in a single accountable workspace.

A three-layer operating model for AI delivery

Bring client integration, access governance, and gateway operations into one observable path so teams can work with clearer boundaries and faster diagnosis.

Client layer

AI coding

Internal apps

Workflow tools

Service agents

Compatible clients

Adoption and delivery

Governance layer

♟ Access and distribution

Organizations

API keys

Dedicated access

Routing policies

Roles

Quota controls

Members

Account health

↗ Usage and cost

Metering

Usage trends

Allocation

Model usage

Request cost

Cost lookup

Reports

Quota review

◆ Security and audit

Key management

Key revocation

Access settings

Tenant isolation

Exception review

Request logs

Audit trail

Configuration

Clear access
visible usage
accountable operations

Gateway layer

Unified API

Route aggregation

Failover

Route health

Load balancing

Protocol compatibility

GPT

Compatible models

Traceable requests
one control point

Six capabilities for governed AI operations

From integration to request tracing, Stellahub gives teams one place to manage AI access and day-to-day usage.

Usage and cost visibility

Review token consumption and request costs with usage summaries and request details, so cost discussions start with evidence.

Scoped keys and quotas

Create separate API keys for applications and pair them with quota and access settings instead of relying on shared credentials.

Routing and traffic operations

Direct compatible requests through a unified gateway and manage routes, accounts, scheduling, and failure handling from one control point.

Access boundaries

Use authentication, roles, and dedicated access paths to make individual and team access boundaries explicit.

Request tracing and audit

Inspect request status, token usage, response details, and operational logs to shorten investigation paths when calls fail.

Organization management

Organize members, roles, keys, and operational workflows around the teams responsible for AI usage.

Why use the Stellahub gateway?

Bring scattered client settings, access controls, and request evidence into a single operating surface.

Capability

Self-built

Stellahub

Basic proxy

Unified compatible access

Manual upkeep

✓

Key distribution and roles

—

✓

—

Quota controls

—

✓

—

Usage and cost evidence

—

✓

—

Application-specific keys

—

✓

—

Tenant access boundaries

—

✓

—

Routing and failover

Engineering required

✓

Basic support

Request and operation logs

Engineering required

✓

—

Organization operations

—

✓

—

Private deployment

✓

—

Team use cases

Examples of how a unified AI gateway can support teams from client integration through everyday operations.

AI codingEngineering

Bring coding assistants into a team workflow

The challenge

Engineering teams may use multiple coding clients and models while personal settings, shared keys, and cost records remain scattered.

Operating approach

Route compatible client requests through one gateway, configure access per application, and review request, usage, and response evidence without changing each developer workflow.

What to manage

✓A consistent client integration path
✓Access scoped by team and project
✓Token, request, and cost evidence
✓A traceable path for diagnosis

Financial servicesEnterprise

Give distributed teams a shared usage view

The challenge

Teams often configure keys and models independently, leaving daily usage and cost records hard to reconcile.

Operating approach

Manage organizations, members, and API keys from one control point, then use usage summaries and request details to understand operational consumption.

What to manage

✓Organization-aware access
✓Separate keys for applications
✓Usage and request cost review
✓Quota boundaries for teams

Financial services scenario illustration

Customer operationsService teams

Operate AI-assisted customer workflows

The challenge

Customer teams can end up with separate model endpoints and keys across channels, making an exception slow to investigate.

Operating approach

Collect compatible requests in one gateway and use request records, route health, and account checks to manage normal operations and failures.

What to manage

✓Consistent client protocol settings
✓Central route and account operations
✓Request status and exception review
✓Visible consumption by workflow

Customer operations scenario illustration

Connect your GPT-capable client with a clear operating boundary

Start from the Stellahub GPT guide, use the base URL and API key supplied to your organization, then confirm the model ID through the authenticated models endpoint.

Open the GPT guide