Invariant Labs
@invariantlabsai.bsky.social
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Invariant Labs makes AI Agents secure and reliable. https://invariantlabs.ai
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invariantlabsai.bsky.social
👀 removing images without user confirmation?
invariantlabsai.bsky.social
If you run your tests with the Swarm wrapper, all your runs will automatically be recorded in Explorer.

Of course, you also integrate non-Swarm agents or standard agent logs.

Learn more about it here: explorer.invariantlabs.ai/docs/testing...
invariantlabsai.bsky.social
🐝 Have you built an agent with OpenAI's Swarm, but you're unsure about shipping?

Invariant offers a simple wrapper for the Swarm class, making it easy to automatically trace your agent for testing and observability, to ensure your agent _works_.
invariantlabsai.bsky.social
🕵️‍♀️‍Check out the documentation to learn about all the ways you can filter traces in Explorer.

Docs: explorer.invariantlabs.ai/docs/explore...
invariantlabsai.bsky.social
👀 Trying to find specific details in your agent logs but drowning in the noise?

Explorer allows you to search for either keywords, annotations or other details to quickly identify bugs, security issues and failure modes.
invariantlabsai.bsky.social
Need a quick trace viewing tool for an LLM project that you're building?

1. > pip install invariant-ai
2. > invariant explorer
3. > open localhost

That's it.

Now you can push and inspect your traces in OAI format. Let us know what you think!

Docs: explorer.invariantlabs.ai/docs/explore...
invariantlabsai.bsky.social
To make things easier, testing also integrates with Explorer, allowing you to keep track visually of your test runs.
invariantlabsai.bsky.social
Struggling to ensure consistency with your agent's reliability, especially with tool calling?

Testing is our lightweight, pytest-based OSS library to write and run agent tests.

It provides helpers and assertions that enable you to write robust tests for your agentic applications.