Prompt
I'm building an internal AI platform and want one layer between apps and model providers; what should I use?
Latest observation
If you want one layer between your apps and model providers, the thing you’re looking for is usually called a model gateway or LLM proxy.
What it does
A model gateway sits in front of OpenAI, Anthropic, Google, open-source endpoints, etc., and gives your apps a single API for:
- routing requests to different model providers
- fallback/retry logic
- rate limiting and quotas
- auth and access control
- logging, tracing, and cost tracking
- prompt/response moderation
- caching
- model versioning and experimentation
Good options
Depending on how much you want to build yourself:
- LiteLLM — very common choice; open-source, supports many providers, works as a proxy/gateway
- OpenRouter — more of a managed multi-model API layer
- AWS Bedrock / Azure OpenAI / Vertex AI — if you want a cloud-native abstraction, though less provider-agnostic
- LangChain / LlamaIndex — useful at the app orchestration layer, but not really the gateway layer
- Kong / Apigee / AWS API Gateway — if you want to build your own gateway behavior around LLM APIs
My recommendation
For an internal AI platform, start with LiteLLM if you want:
- provider-agnostic access
- a fast path to production
- self-hosting
- cost and usage visibility
- straightforward integration
If you want, I can also give you:
- a reference architecture for this layer, or
- a feature-by-feature comparison of LiteLLM vs building your own gateway.
Observation history
How did Obsurfable measure this prompt?
Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
Which AI systems does Obsurfable collect answers from?
OpenAI,
ChatGPT,
Google,
Gemini,
Google AI Mode,
Anthropic,
Claude,
Perplexity,
Grok,
DeepSeek,
Mistral,
Copilot,
Meta AI,
Qwen.
How can brands improve their AEO?
Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.
Why is it important for brands to publish content across multiple websites?
Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.
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