Home/AI Gateway & Routing/Google Vertex AI

Google Vertex AI

Cloud#7 of 16 in AI Gateway & Routing
72%
COVERAGE
Model Garden (150+ models); Vertex Studio; Apigee integration; Model Armor; grounding with Google Search
Routing
1 full, 3 partial of 4
Multi-Provider Support
Breadth of LLM providers supported through a single unified API — OpenAI, Anthropic, Google, AWS, Azure, Cohere, Mistral, open-source, and more.
Partial
Smart Routing
Intelligent request routing based on cost, latency, model capability, or custom logic. Includes latency-based, cost-optimized, conditional, and semantic routing.
Partial
Fallback & Retry
Automatic failover to backup providers/models on failure. Retry logic with exponential backoff, circuit breaking, and health-aware routing.
Partial
Load Balancing
Distribute requests across endpoints. Round-robin, weighted, least-connections, and performance-aware strategies.
Full
Cost & Perf
3 full, 1 partial of 4
Semantic Caching
Cache LLM responses and serve semantically similar requests from cache. Reduces cost and latency for repeated queries.
Partial
Cost Tracking & Budgets
Real-time token cost tracking per user, team, project, or API key. Budget limits, spend alerts, and cost attribution.
Full
Rate Limiting & Quotas
Token-aware and request-based rate limiting. Per-user, per-team, per-key quotas.
Full
Latency Performance
Gateway overhead added to requests. Sub-ms is ideal. Rust/Go implementations outperform Python-based gateways.
Full
Security
3 full, 1 partial of 4
Guardrails & Safety
Built-in content filtering, PII detection, toxicity blocking, prompt injection defense, and output validation.
Full
Auth & RBAC
Authentication (API keys, OAuth, SSO), role-based access control, workspace isolation, fine-grained permissions.
Full
Audit Logging
Immutable logs of all requests, responses, routing decisions, and policy violations. Compliance-exportable.
Full
MCP Server Support
Model Context Protocol server support — enabling AI agents to access external tools through the gateway with auth and governance.
Partial
Ops
1 full, 2 partial of 4
Observability
Dashboards for request volume, latency, errors, tokens, model performance. Exportable to Datadog, Grafana, etc.
Partial
Prompt Management
Version control, deploy, A/B test prompts as gateway assets. Templates, variable injection, environment promotion.
Partial
Self-Hosted / OSS
Deploy on own infrastructure. Open-source, Docker/K8s, air-gapped, data residency compliance.
None
Streaming & SSE
Full streaming response support (SSE), chunked transfer, real-time token delivery for chat UIs.
Full
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