This Is Why Your Main Agent Shouldn't Read Every Trace

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Original language: English

Original video: This Is Why Your Main Agent Shouldn’t Read Every Trace · Channel: LangChain · 01:07 · Watch on YouTube

Topics: AI agents, AI evaluation and benchmarks

Summary

The video describes a multi-agent approach to investigating traces without overwhelming the main agent’s context. Screener agents can inspect full traces and decide what is worth surfacing, while a verifier performs a quick final check before a trace is treated as problematic. Other agents may create issues with diagnoses and links to relevant traces. The approach is still evolving, with agents delegated tasks according to their capabilities, speed, and cost.

Key points

Screener agents are the primary way the system investigates traces.
Screeners can access the full trace when needed, rather than only a summarized view.
The screener decides whether a trace is interesting enough to surface to the main agent.
A verifier agent performs a quick, lightweight check of potentially problematic traces.
A separate sub-agent can create an issue, write a diagnosis, and link specific traces.
The agent structure and responsibilities are still being experimented with.
The main agent delegates work to screeners that are cheaper and faster but less capable of complex decisions.
Screeners may be well suited to identifying small problems in traces.

Chapters

Start	Chapter	Summary
00:00	Screeners investigate full traces	Screener agents inspect traces in depth and decide what information should be surfaced to the main agent.
00:34	Verification and issue creation	A verifier checks whether a trace is problematic, while another sub-agent may create an issue with a diagnosis and trace links.
01:07	Delegating by capability	The system distributes tasks like an org chart, matching screeners’ speed and trace-reading strengths to suitable work.

Quotes

The screener sub agent is like the primary way that we investigate traces. — 00:00

the full length of a trace. — 00:00

a final very quick, very light check — 00:34

they’re less capable of these more complex decisions. — 01:07

Concepts and entities

screener sub agent, verifier agent, main agent, trace, issue, LangChain

Full transcript (original language)

00:00 The screener sub agent is like the primary way that we investigate traces. In order to avoid exploding the context of the agent, we send out these screener agents that will always be the ones that have access to the entirety of a trace if ever there’s a need to look at. Not this extremely summarized condensed view of a trace, not even like this middle ground view of a trace, but the full length of a trace. So the screener is the one that’s ultimately kind of making a call on the way that this is something interesting to surface back to that original main agent. The main agent also hands that over to a verifier agent.

00:34 And the verifier agent is kind of doing a final very quick, very light check to ensure, yeah, this is a problematic trace. It should be contained in an issue, et cetera. Like I said, we’re kind of always experimenting with the different sub agents that we have in the different structure. We do have a sub agent that is actually creating an issue. It’s writing out a nice diagnosis and it is like linking the specific traces to it. It always changes though. And I think one of the things that we’re learning is there’s something kind of We’re really familiar with designing an org chart, in a way. Like we have this competent main model, main agent, that is then going to start delegating

01:07 tasks to these screeners that are less competent and way cheaper, way faster usually. But they’re less capable of these more complex decisions. But maybe they’re very good at reading traces and understanding very small problems in them. So similar to like an org chart, the way they’re like fanning things out and determining who’s best for what job.