What frameworks does swarm-test support?

swarm-test includes adapters for CrewAI, LangGraph, AutoGen, and generic static graphs. Framework extras can be installed via pip install "swarm-test[crewai]", "swarm-test[langgraph]", or "swarm-test[autogen]".

Does swarm-test require running my agents or making API calls?

No. All tests are static graph analyses performed on your agent topology with no LLM calls made, and results are deterministic given the same topology. This means no API cost and instant feedback.

Can swarm-test integrate into my CI/CD pipeline?

Yes. A GitHub Action is provided that runs on pull requests, posts findings as inline annotations, and includes the Swarm Score in the workflow job summary. You can set it to fail the workflow if findings exceed a specified severity threshold.

Back to articlesLarge Language Models

Large Language Models

swarm-test, an open-source testing tool for multi-agent AI systems, helps developers find reliability failures before production by analyzing agent topology and dependencies without making live LLM calls.

Hacker News22h ago5 min read

Key takeaway

swarm-test is an open-source Python tool that statically analyzes multi-agent AI system topologies to find reliability failures—cascade effects, single points of failure, context leaks, and other connection-level problems—without running live LLM calls or incurring API costs. The tool assigns a 0–100 Swarm Score, identifies critical issues, and integrates with GitHub Actions, helping developers catch integration failures before production deployment.

Summaries like this, in your inbox every morning.

3 Key Points

What happened
A developer has released swarm-test, a static analysis tool that tests multi-agent AI systems (built with CrewAI, LangGraph, AutoGen, or custom frameworks) to detect cascade failures, single points of failure, context leakage, intent drift, timeout issues, and other structural problems. The tool produces a 0–100 Swarm Score, an interactive dashboard with a force-directed graph highlighting critical failures in red, and integrates with GitHub Actions for CI gating.
Why it matters
Multi-agent systems composed of many agents connected in sequence can fail in hidden ways—a chain of 14 agents at 95% reliability each yields only ~49% end-to-end reliability (0.95^14), and the failures occur not within individual agents but in how they interact. swarm-test catches these integration problems early and deterministically (no LLM calls, no API cost) before they reach production, helping developers avoid silent cascade failures and costly debugging.
What to watch
The tool is available now via pip install swarm-test and supports framework adapters for CrewAI, LangGraph, and AutoGen; it offers a GitHub Action for PR-based CI gating, historical tracking of Swarm Score across runs, and a plugin system for custom tests. The interactive --open flag launches a D3 dashboard in the browser, and results can be exported to Mermaid, DOT, or PNG formats.

FAQ

What frameworks does swarm-test support?: swarm-test includes adapters for CrewAI, LangGraph, AutoGen, and generic static graphs. Framework extras can be installed via pip install "swarm-test[crewai]", "swarm-test[langgraph]", or "swarm-test[autogen]".
Does swarm-test require running my agents or making API calls?: No. All tests are static graph analyses performed on your agent topology with no LLM calls made, and results are deterministic given the same topology. This means no API cost and instant feedback.
Can swarm-test integrate into my CI/CD pipeline?: Yes. A GitHub Action is provided that runs on pull requests, posts findings as inline annotations, and includes the Swarm Score in the workflow job summary. You can set it to fail the workflow if findings exceed a specified severity threshold.

Discussion

No comments yet. Be the first to share your thoughts!

Unable to generate summary — the article body provided contains no news content, only a newsletter registration prompt.

Nikkei AI Stocks1h ago

GitHub Copilot's shared AI harness matches rival model-vendor tools on task completion while using fewer tokens, letting developers mix-and-match models without sacrificing performance.

GitHub Copilot Blog4h ago

OpenAI will release GPT-5.6 in limited preview with Trump administration case-by-case approval, a less restrictive arrangement than the export controls imposed on rival Anthropic.

The Verge AI4h ago

The Trump administration is pressuring OpenAI to limit early access to its new GPT 5.6 model to select partners before a broader public release, shifting from its previous hands-off AI stance.

TechCrunch AI4h ago

Visa partners with AI and stablecoin firms to build payments infrastructure for autonomous agents and digital assets, diversifying revenue beyond traditional card fees.

Top Companies AI — US (1/2)8h ago

TrueFoundry acquires MLOps pioneer Seldon AI to combine infrastructure for deploying AI agents at scale, addressing a gap where only 14% of enterprises have moved AI pilots into production.

Top Companies AI — US (1/2)8h ago

Stay ahead with AI news

Get curated AI news from 200+ sources delivered daily to your inbox. Free to use.

Get Started Free

Free · takes 30 seconds · unsubscribe anytime

5 minutes a day. The AI essentials.

200+ sources · Email / LINE / Slack

Get it free →