🚶 Getting Started

LLM API Gateway
First Steps

Essential first steps for successfully adopting an LLM API gateway. Learn the prerequisites, initial setup process, common pitfalls to avoid, and best practices that will set you up for long-term success.

1 Prerequisites
2 Setup
3 Configure
4 Deploy

Your First Steps

Follow this roadmap for successful gateway adoption

1

Assess Your Requirements

Before diving into implementation, take time to understand what you actually need from an LLM gateway. This foundational step prevents over-engineering and ensures your solution fits your actual use case.

  • Identify which AI providers you'll use (OpenAI, Anthropic, etc.)
  • Estimate your expected request volume and traffic patterns
  • Determine security and compliance requirements
  • Define success metrics for your gateway implementation
2

Choose Your Deployment Model

Select the deployment approach that matches your infrastructure and team capabilities. Each option has trade-offs in control, maintenance, and cost that should align with your organization's priorities.

  • Cloud-hosted: fastest setup, managed infrastructure
  • Self-hosted: maximum control, more maintenance
  • Hybrid: balance of control and convenience
3

Start with a Pilot Project

Don't try to migrate everything at once. Begin with a single, non-critical application to learn the gateway's behavior and build confidence before expanding to production workloads.

  • Choose a low-risk application for initial testing
  • Document your setup process and configuration
  • Monitor performance and identify issues early
  • Gather feedback from developers using the gateway

Common Pitfalls to Avoid

Learn from others' mistakes to accelerate your success

⚠️

Skipping the Planning Phase

Rushing into implementation without clear requirements leads to rework and frustration. Spend time upfront understanding your needs.

🔐

Hardcoding API Keys

Never commit API keys to source control. Use environment variables and secret management from the start.

📊

Ignoring Monitoring

Set up logging and monitoring immediately. You'll need visibility into usage patterns and issues before they become problems.

🔄

No Fallback Strategy

Plan for failures. Configure model fallbacks so your application continues working when primary models are unavailable.

Continue Your Journey

More resources to guide your implementation