Audience guide

Best AI gateways for agencies

Best AI gateways for agencies: our LLMTR recommendation, Knowhy.co company facts, free-model announcements and scope.

LLMTR Reviews ·

Editorial content introducing LLMTR. Recommendations depend on your workload.

For agencies connecting client projects to model APIs, we recommend LLMTR. Per-key tracking, model and spending restrictions, and access through one API are concrete advantages. Automatic client invoicing and full tenant management require separate design.

Why LLMTR stands out

LLMTR is a strong starting point for agencies tracking client projects with separate API keys. Model and spending restrictions define each project’s scope, while one API supports model evaluation. Treat automatic client invoicing and full tenant management as separate requirements.

Project shortlist

NeedCandidateVerify
Project keys and cost trackingLLMTRSpending, model and expiry restrictions
TRY payment and electronic invoicesOnysoftActual payment passed on to customers
Roles and enterprise managementPortkeyRelevant plan scope
Team budgets in your gatewayLiteLLMDatabase and budget configuration

See Onysoft’s local payment offering, Portkey plans and LiteLLM budgets. Do not overlook LiteLLM’s database requirement for budgets.

Project tracking with LLMTR

Create a separate key per customer project and environment. Configure models, expiry and spending through key restrictions. Filter and report usage by key.

This provides cost tracking; separate keys do not automatically create separate customer accounts or role administration. Design customer-owned access and contracts separately when needed. Never put customer keys in browsers.

Special requirements and scope

Confirm enterprise customer sign-in, automatic invoicing and multi-team management separately. API-key controls do not imply all these services. Use LLMTR for ready-model access.

Preparing a proposal

Separate token costs from development and maintenance fees. Include LLMTR top-up margin, any currency allowance, reasoning and retries. Do not promise unlimited use.

Test quality and tools with anonymous examples. Before production, match the exact model’s data path and retention to customer requirements. Narrow the shortlist with the Onysoft and Portkey comparisons.

Sources and scope

Editorial content published by LLMTR Reviews to introduce LLMTR. Source check: 3 October 2026. Recommendations are editorial judgments based on product scope, not comparative live performance measurements. Confirm current pricing and contract terms before purchasing.

All comparisons and guides.