Prompt
I'm building a SaaS app with multiple model providers; what should I use to manage routing and spend?
Latest observation
Oct 10, 2026
OpenAI APIWeb search: off
For a SaaS app with multiple model providers, the best “single pane of glass” for routing, spend control, and observability is usually:
Recommended: an LLM gateway / proxy
Use a gateway that sits between your app and the model providers. It can handle:
- Provider routing / failover: send requests to OpenAI, Anthropic, Gemini, etc.
- Cost tracking: attribute spend per tenant, feature, team, or request
- Rate limiting / quotas: prevent runaway usage
- Retries and fallbacks: switch models on errors or latency
- Caching: reduce duplicated spend
- Logging / tracing: see prompts, completions, latency, token usage
- Policy enforcement: block certain models or prompt patterns
Good options
1) LiteLLM
Best if you want an open-source, flexible gateway with strong multi-provider support.
Why it’s popular:
- Unified API across many providers
- Simple routing/fallbacks
- Cost tracking and budgets
- Easy self-hosting
- Good fit for SaaS apps that want control
2) Helicone
Best if your main focus is observability and spend analytics.
Strengths:
- Great request logging and analytics
- Cost monitoring by user/endpoint
- Useful dashboards for product and finance
- Can complement a gateway or be used alongside one
3) OpenRouter
Best if you want a hosted routing layer and easy access to many models.
Strengths:
- One API for many models
- Simple model selection
- Less infra to manage
Tradeoff:
- Less control than self-hosting a gateway
4) Langfuse
Best for tracing, evals, and usage visibility across LLM workflows.
Strengths:
- Traces, prompts, scores, evals
- Helpful for debugging chains/agents
- Good for engineering visibility
Tradeoff:
- Not primarily a routing/spend control layer
Practical setup I’d recommend
For a SaaS app, a strong default stack is:
- LiteLLM for routing, quotas, and cost control
- Helicone or Langfuse for observability and traces
- Your own billing layer for customer-facing usage limits
What to choose depending on your goal
- Need routing + spend control now → LiteLLM
- Need best analytics and debugging → Helicone + LiteLLM
- Need fastest setup with minimal ops → OpenRouter
- Need deep tracing/evals for product quality → Langfuse
Important design tip
Even if you use a gateway, keep a tenant-aware usage ledger in your app:
- user_id / org_id
- model used
- input/output tokens
- estimated cost
- request ID
- feature name
- timestamp
That way you can:
- bill accurately
- enforce plan limits
- detect abuse
- reconcile provider invoices
If you want, I can also give you:
- a best-in-class architecture diagram for multi-provider routing, or
- a comparison table of LiteLLM vs Helicone vs OpenRouter vs Langfuse.