ORBIT AI Inference Middleware unifies access to 37+ language model providers—from local backends like Ollama and llama.cpp to cloud services including OpenAI, Anthropic, Gemini, and AWS Bedrock—behind a single secure gateway. Client applications authenticate via API Key Auth, RBAC, and SSO (Entra ID or Auth0), then route requests through the ORBIT Gateway Layer with intelligent model switching, circuit breakers, and fallback logic. The architecture integrates datasource adapters for vector stores (MongoDB, Elasticsearch) and REST/GraphQL APIs, enabling retrieval-augmented generation with prompt caching and multimodal support. An observability sidecar provides distributed tracing, metrics, audit logs, and health checks across all inference backends, giving platform teams complete visibility into model performance and usage. Fork this diagram on Diagrams.so to customize provider lists, add datasource connectors, or adapt the security model for your organization's compliance requirements.