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SERV Reasoning is an inference API for LLMs. Each call runs through a structured reasoning step that improves the consistency and accuracy of outputs. It sits between your application and the model: the same request returns more reliable results, at lower cost, with no change to how you build.

Better outputs

Every request runs through a reasoning step — more accurate and consistent outputs than calling the model directly.

Lower cost

Pair a smaller model with SERV Reasoning to reach a larger model’s quality. Savings scale with volume.

No code changes

Change the base URL and API key in your existing OpenAI or Anthropic SDK. Nothing else changes.

One endpoint, many models

A broad catalog of models behind a single endpoint and a single API key.

Try before you integrate

Compare any model with and without SERV Reasoning in the Playground. No code required.

Same build. Better results.

One layer between your app and the model. More reliable, cheaper, zero rewrite.
Both are available as SERV Tools: enable them by adding a tool to any request, in any SDK.

Prompt injection guard

Protect your system prompt from injection-based leakage. Opt in with the serv_prompt_guard tool.

Shadow agents

Difficult tasks reach higher accuracy through a validate-and-iterate loop. Opt in with the serv_shadow_agent tool.