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control-layer
Python

control-layer

A production-grade control layer that sits between your application logic and any LLM — input validation, schema enforcement, circuit breaking, targeted retry, and audit logging in one composable pipeline.

by Emmimal · GitHub
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anthropiccircuit-breakergenerative-aiMITPython
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Ensure your application communicates safely with AI models by validating inputs and managing errors effectively.

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6362
2026-07-202026-08-31
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📄 About

A production-grade control layer that sits between your application logic and any LLM — input validation, schema enforcement, circuit breaking, targeted retry, and audit logging in one composable pipeline.

control-layer has 62 stars on GitHub. It has been forked 8 times. control-layer is written mainly in Python. It has been in active development since 2026. control-layer is available under the MIT license. Its main topics are anthropic, circuit-breaker, generative-ai, input-validation.

Frequently asked questions

What is control-layer?

A production-grade control layer that sits between your application logic and any LLM — input validation, schema enforcement, circuit breaking, targeted retry, and audit logging in one composable pipeline.

Is control-layer open source?

control-layer is an open-source project. It is released under the MIT license.

Is control-layer free?

Yes. control-layer is free and open source — you can use, modify and self-host it.

What license does control-layer use?

control-layer is available under the MIT license.

What language is control-layer written in?

control-layer is written mainly in Python.

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