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Welcome to Agent Foundry

Agent Foundry is a library of reusable, modular, and composable software baselines and packages for building production-ready AI agent systems.

Evaluating AI Agents with Confidence​

Challenge​

Teams building AI agents have no standard way to verify agent behavior across changes. Every prompt tweak, model swap, or tool update is a gamble. Teams rely on manual spot checks instead of systematic measurement. Regressions slip through undetected until production.

Solution​

Agent Evals brings structured evaluation to any AI agent. Define expected behavior once as evals for targeted regression tests, or as benchmarks for broad capability scorecards. Run them automatically on every change. Agent Evals works with OpenAI Agents, LangChain, Strands, or custom code.

Benefits​

  • Catch regressions early. Wire evals into CI/CD as quality gates. When a failure mode appears, fix it and confirm it will not come back.
  • Iterate with confidence. Swap models, rewrite prompts, or add tools, and know in minutes whether the agent still meets the standard.
  • Stay framework agnostic. Use one evaluation library for any Python agent. No lock in and no rewrites when you change frameworks.
Outcome

Agent Evals brings a data-driven approach to agent improvement. Catch issues at deployment, detect drift in production, and iterate based on evidence, not intuition.

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