invariant-gateway
LLM proxy for observing and debugging AI agent activities
GraphCanon updated Sep 13, 2026 · GitHub synced Sep 13, 2026
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Decision brief
The invariant-gateway is an observability proxy crafted for Python-based AI agents running under LLMs, offering robust debugging and guardrail implementations.
Good fit when
- If you are working on Python-based projects and need detailed monitoring of AI agent activities to enhance security or compliance;
- When a cloud environment setup with Docker is preferred, as it simplifies deployment for observing AI agent behaviors;
Avoid when
- In scenarios where the programming language used is not Python, given that invariant-gateway is specifically designed for Python-based applications;
- For organizations that do not require sophisticated guardrails or observability features when dealing with their AI agents' operations;
Observed Jul 16, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (310d since push)
- As of Sep 13, 2026
- Provenance
- Not a fork · Organization account
- As of Sep 13, 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 invariant-gatewaySimilar tools
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Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
The invariant-gateway is an LLM proxy engineered to monitor and debug the operations of AI agents through observability features and guardrails.
Capability facts
- CLI
- CLI entrypoint
Source: pyproject.toml:[project.scripts] · Sep 13, 2026
- Languages
- python
Source: github.language+pyproject.toml · Sep 13, 2026
Categories
Tags
README
2. Run the Gateway using the published Docker image You can also run the Gateway using the published Docker image. This is a good option if you want to run the Gateway in a cloud environment. ```bash
For agents
This page has a .md twin and JSON over the API.