Menu

Post image 1
Post image 2
1 / 2
0

Eval vs. Rating: The Missing Layer in AI Agent Trust

DEV Community·Agent-Risk·21 days ago
#dQ3NkHyo
#ai#agents#webdev#python#agent#trust
Reading 0:00
15s threshold

"A reputation network based on vouches is useful for discovery, but it doesn't help you at runtime when a trusted agent's endpoint gets compromised or starts behaving outside its declared capabilities — a high trust score doesn't prevent prompt injection or scope creep mid-execution." That was Jairooh , commenting on a LangChain GitHub issue (#35976) proposing the Joy Trust Network integration. It's the most honest sentence in the entire thread — and nobody in the ecosystem has fully reckoned with what it means. Here's what it means: the LangChain ecosystem has built excellent evaluation tooling, but evaluation and trust rating answer different questions. The ecosystem has eval. It needs rating too. But first — why doesn't guarantee-based trust work at runtime? Imagine this: an agent you trust, vouched for by others, with a high score. Then its endpoint gets compromised and starts injecting prompts. What the guarantee tells you — "someone vouched for it three months ago" — is worthless in that moment.…

Continue reading — create a free account

Join HashtagPLUS to read full articles, follow hashtags, vote, and join the conversation.

Read More