Step 1
Inventory services that call external models today and note which request families they use.
Integrations
Integrate once at the gateway instead of per provider
Application teams want a stable API surface while platform teams manage provider targets, credentials, and policy. Verdictan exposes supported OpenAI-compatible endpoints and documents provider catalog paths for review before rollout.
What you are trying to solve
Each new service that stores its own API key adds operational risk and slows security review.
Step 2
Migrate supported traffic to the gateway endpoint with environment-specific configuration.
Step 3
Review integration docs for provider-specific handoffs when you add new upstream targets.
Integration surfaces teams use first
Most teams start with the OpenAI-compatible gateway API for supported Chat Completions and Responses traffic. Existing clients often need only an endpoint and credential change.
Use the public model catalog to review provider families, listed models, and upstream cost references before you select targets in configuration.
Common integration paths
Application services
Point backend services at the gateway endpoint and keep provider credentials out of application repositories.
Agent frameworks
Route supported agent traffic through the same gateway configuration as the rest of your AI workloads when the runtime allows it.
Provider catalog review
Use /models and provider pages to confirm listed models and handoff paths before you enable routing.
Before you move production traffic
- Confirm each workload uses a supported request family documented for your deployment.
- Run policy tests against representative prompts and tool payloads in staging.
- Review decision samples with security and FinOps stakeholders.
Related paths
Continue with a template, product area, or guide that matches this page.
New features adopt the same gateway integration pattern and inherit configured controls automatically.
Read the OpenAI integration guide and send a test request through the gateway.