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8/2/2026
AgentEval Forge: lessons from field-testing an open-source agent evaluation harness

AgentEval Forge: lessons from field-testing an open-source agent evaluation harness

Original: I Built an Agent Eval Harness. Real Agents Broke the Clean Version of the Story

Short summary

AgentEval Forge is an open-source agent evaluation harness now on PyPI, featuring 20 launch scenarios, 17 deterministic scorers, 11 LLM-as-judge metrics, and adapters for five agent frameworks including LangGraph and PydanticAI. Field testing against 19 real GitHub agents revealed integration challenges that unit tests and mocks had hidden. The author learned that real agents break clean assumptions about packaging, entry points, and infrastructure requirements.

  • •AgentEval Forge launched on PyPI with 20 scenarios and 28 scoring metrics
  • •Five framework adapters: subprocess, Python import, HTTP, LangGraph, PydanticAI
  • •Field-tested against 19 real agents from GitHub across three reliability tiers
  • •Real agents exposed integration problems that mock-based tests had hidden

Generated with AI, which can make mistakes.

#ai-tools#ai-agents#open-source
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