Obsurfable
Sign inCreate free account

Prompt

API normalization for LLM providers

Artificial Intelligence / AI Infrastructure1 observationLast seen Oct 10, 2026

Latest observation

Oct 10, 2026OpenAI APIWeb search: off

Could you clarify what you mean by “API normalization for LLM providers”?

Common interpretations include:

  1. Unifying multiple LLM APIs behind one interface

    • Example: wrap OpenAI, Anthropic, Gemini, etc. with a single internal schema.

  2. Normalizing request/response formats

    • Converting differences in:
      • model names
      • chat/message structure
      • tool/function calling
      • streaming events
      • token usage fields
      • error codes

  3. Designing an abstraction layer or adapter system

    • For switching providers dynamically without changing application code.

  4. Standardizing your own internal API spec

    • E.g. defining a provider-agnostic contract for your backend.

If you want, I can help with any of these:

  • a provider-neutral API design
  • a normalization schema
  • TypeScript/Python adapter examples
  • a mapping table for OpenAI/Anthropic/Gemini
  • or a recommended architecture for multi-LLM support

If you share your goal and which providers you need to support, I can propose a concrete design.

Brands

OpenAIAnthropicGemini

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.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.