Introduction to API Integration

Connect applications to Bud AI Foundry deployments with OpenAI-compatible and Bud-native APIs

Overview

The API Integration module helps teams move from a deployed model to production-ready application traffic. It combines endpoint discovery, project-scoped authentication, request patterns, and observability into one workflow.

What You Can Do

Discover endpoints quickly Find base URLs and model IDs from project routes and deployment details.

Use OpenAI-compatible APIs Integrate chat, completions, embeddings, image, audio, and document flows with familiar request formats.

Apply project-level governance Use project-scoped API keys, role-based access, and usage controls.

Operate with confidence Track latency, token usage, and errors in observability dashboards tied to endpoints.

Integration Building Blocks

Capability	What it enables
Endpoint discovery	Locate deployment URL, route, and endpoint type
Authentication	Secure requests using API keys and Authorization headers
Request templates	Bootstrap cURL, Python, and JavaScript calls from UI snippets
Error handling	Standardized status code handling and retries
Observability	Production monitoring of request volume, cost, and failures

Typical Use Cases

Customer-facing chat

Power conversational experiences with low-latency chat completions

Knowledge retrieval

Generate embeddings and route semantic search requests

Media workflows

Integrate image generation, text-to-speech, and transcription APIs

Backend automation

Connect service-to-service inference with retries and observability

Next Steps

Quickstart

Send your first API request in minutes

Concepts

Understand endpoints, auth, and request patterns

Troubleshooting

Resolve common integration issues quickly