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.
Ensure your application communicates safely with AI models by validating inputs and managing errors effectively.
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Free · no card · unsubscribe anytimeA 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.
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 is an open-source project. It is released under the MIT license.
Yes. control-layer is free and open source — you can use, modify and self-host it.
control-layer is available under the MIT license.
control-layer is written mainly in Python.
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