Connect to 250+ models and runtimes through a single API — including OpenAI, Anthropic, Meta, Google, Azure, Amazon Bedrock, Mistral, LlamaIndex, and OSS providers. Eliminate integration silos, standardize access across teams, and orchestrate any provider without rewriting your application code.

Maintain uptime and SLA adherence with latency-aware load balancing, provider fallback, and conditional routing based on cost, performance, or error-handling logic.

Accelerate throughput and reduce spend with semantic prompt caching, batched LLM requests, and traffic shaping to budget-friendly models for non-critical workloads.

The gateway exposes dedicated API endpoints for every activity — model inference, agent execution, and memory provider access. Each endpoint is secured by the same API key, giving you centralized control and a consistent access pattern across your entire GenAI stack.

Track request metrics, token usage, latency, and error breakdowns in real time. Gain full visibility at every level — from workflow execution logs and evaluation run traces to individual resource-level logs — enabling precise drill-down into any agent or model interaction. Native integrations with Prometheus and Grafana give engineering and finance teams complete operational visibility into LLM operations.

Enforce enterprise policies with scoped API keys, OAuth2.0, JWT, RBAC, and built-in workspace management for user access controls. Built-in audit logs support compliance and zero-trust architectures.

Efficiently manage API keys for LLM access across multiple providers, ensuring security-based change management and access governance within your organization.