GraphCanon updated Sep 14, 2026 · GitHub synced Sep 14, 2026
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Decision brief
ControlLayer offers robust interaction management with LLMs through validation, schema enforcement, circuit breaking, retry mechanisms, and audit logging.
Good fit when
- When your application requires strict input validation and schema enforcement to ensure consistent interactions with LLMs.
- If you need comprehensive logging for auditing purposes in production deployments of AI-driven applications.
Avoid when
- If your project does not require Python-based middleware between the app logic and LLM, or if working exclusively within another language ecosystem.
- For scenarios where minimal dependencies are a hard requirement, as ControlLayer depends on tiktoken, tenacity, pydantic, structlog.
- Requirements:
- The tool runs without ML libraries or GPU requirements. It relies solely on Python standard library and four additional packages.; Installation involves pip installing tiktoken, tenacity, pydantic, and structlog.
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (111d since push)
- As of Sep 14, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 14, 2026
- Security (OSV)
- No lockfile
- As of Jul 15, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install control-layerSimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
ControlLayer provides validation, schema enforcement, circuit breaking, retry mechanisms, and audit logging to ensure robust interaction with any language model.
Capability facts
- Languages
- python
Source: github.language · Sep 14, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 14, 2026)
No ML dependencies. No GPU required. All functionality runs on the Python standard librarySource link
Tags
README
Installation No ML dependencies. No GPU required. All functionality runs on the Python standard library plus the four packages above. Quick Start ```python from control layer import ControlLayer, ControlLayerConfig, ResponseSchema
For agents
This page has a .md twin and JSON over the API.