Foundry evaluates and observes your agent inside Azure. Converra closes the loop — diagnoses failures, generates fixes, simulation-tests them, and ships with governed deployment. Works on any cloud.
Foundry evaluates. Converra fixes.
Foundry monitors. Converra improves. Use both for the full loop — from production evaluation to tested fixes.
Foundry evaluators run as quality gates in your Azure pipeline
Converra diagnoses failing scenarios and generates targeted fixes
Validated fixes ship with rollback, then re-validate in Foundry
No. As of May 2026, Microsoft Foundry ships 9 built-in agent evaluators (Task Completion, Task Adherence, Task Navigation Efficiency, Intent Resolution, Tool Call Accuracy, Tool Selection, Tool Input Accuracy, Tool Output Utilization, Tool Call Success) plus quality/safety scoring and observability piped into Azure Monitor. It does not generate prompt variants, run simulation-based head-to-head, or deploy fixes autonomously.
Yes, complementary. Use Foundry's evaluators for in-pipeline quality gates. Use Converra to close the loop — diagnose what's failing, generate the fix, simulation-test it, deploy with rollback.
Foundry's evaluation surface is excellent for monitoring. The gap is everything after monitoring — variant generation, testing, deployment. That's the loop Converra runs autonomously, on Azure or anywhere else.
Yes. Foundry Agent Service is wire-compatible with the OpenAI Responses API, and Converra ingests Responses-API-compatible traces. Standardization on Responses API is good for tools that work across providers — like Converra.
Different surface. Foundry evaluates and observes. Converra closes the loop with fixes. If you want agent failures diagnosed and fixed automatically — not just measured — Converra is what you need.
Other comparisons: vs AWS AgentCore · vs OpenAI · vs Anthropic · vs Braintrust · vs LangSmith · vs Arize
Run a free /eval audit. No Azure rebuild, no Foundry instrumentation.