AI gateway products increasingly overlap with observability, FinOps, governance and optimization, so choosing a gateway is no longer only a proxy decision. LiteLLM, Portkey, Helicone and Clyvel represent different operating models across self-hosted infrastructure, enterprise control and managed production operations.
Key takeaways
- LiteLLM is highly relevant for open-source/self-hosted gateway ownership.
- Portkey offers a broad enterprise gateway, observability and governance stack.
- Helicone combines unified model routing with debugging and monitoring.
- Clyvel connects the gateway to a broader managed AI operations control plane.
LiteLLM
LiteLLM offers an open-source AI gateway with an OpenAI-compatible interface, broad provider support, keys, budgets, usage tracking, routing, observability, governance and optimization. Its self-hosting model is a major decision factor for infrastructure teams.
Portkey
Portkey provides an enterprise AI gateway with centralized model access, routing, key management, monitoring, guardrails and governance. Its official observability product includes detailed logging, tracing and cost/performance analysis.
Helicone
Helicone combines a unified model gateway with routing, failover and caching plus request debugging, agent tracing and monitoring. It also supports deploying the AI Gateway in the customer's own infrastructure.
Clyvel
Clyvel provides an OpenAI-compatible gateway inside a broader operations control plane. Gateway traffic feeds request telemetry, cost attribution, budgets, reliability, incidents, governance, evaluations, optimization and reporting.
Which operating model should you choose?
Choose based on who will own the gateway and what happens after deployment. Self-hosting can maximize infrastructure control. Enterprise gateway suites can consolidate security and model access. A managed operations control plane can reduce the number of systems used to investigate cost, reliability and governance. Test the workflow against your actual organizational constraints.
Questions to ask every vendor
Verify client compatibility, streaming, provider credentials, routing transparency, retries and fallback, workload attribution, request telemetry, cost accounting, budgets, audit history, data retention and deployment requirements. Then run a controlled failure and confirm the platform can explain the entire path.
FAQ
Common questions
What are the main AI gateway alternatives?
Commonly evaluated approaches include open-source/self-hosted gateways, enterprise gateway suites and managed AI operations platforms. LiteLLM, Portkey, Helicone and Clyvel represent different combinations of those models.
Should I self-host an AI gateway?
Self-hosting can be appropriate when infrastructure ownership, network isolation or deployment control are hard requirements. Include database, scaling, upgrades, availability and operational ownership in the decision.
CLYVEL
Put the operating model into practice.
Clyvel connects production AI traffic, cost, reliability and governance in one operations layer.
Explore Clyvel AI GatewaySources and further reading
Clyvel Research uses primary technical and vendor references wherever a claim benefits from external context.
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