Prompt

What should I use if I need one API for multiple LLM providers?

Artificial Intelligence / AI Platforms1 observationLast seen Oct 9, 2026

Latest observation

Oct 9, 2026OpenAI APIWeb search: off

If you want one API that can talk to multiple LLM providers, the usual choice is a model-agnostic LLM gateway / abstraction layer.

Common options

  • LiteLLM — probably the most popular open-source option for this. It gives you an OpenAI-compatible API over many providers like OpenAI, Anthropic, Gemini, Cohere, Bedrock, Azure, etc.
  • LangChain / LangGraph — useful if you also want orchestration, chains, agents, tools, and routing, but it’s more than just a unified API.
  • OpenRouter — a hosted API that routes requests to many models/providers behind one endpoint.
  • Vercel AI SDK — good if you’re building in the JS/TS ecosystem and want provider switching with a unified interface.
  • Portkey — an AI gateway focused on observability, governance, retries, and multi-provider routing.
  • Helicone — more observability/proxy-oriented, but can help standardize usage across providers.

Best default recommendation

  • If you want self-hosted, flexible, OpenAI-compatible: LiteLLM
  • If you want hosted convenience: OpenRouter
  • If you want enterprise routing/governance: Portkey

What to look for

  • OpenAI-compatible API
  • Streaming support
  • Tool/function calling support
  • Provider fallback / routing
  • Cost tracking and rate limiting
  • Logging / observability
  • Easy SDK support in your language

If you tell me your stack (Python, Node, Go, etc.) and whether you want self-hosted or managed, I can recommend the best fit.

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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