Debugging multi-step LLM agents is surprisingly hard — how are people handling this?

Reddit r/LocalLLaMA / 3/23/2026

💬 OpinionDeveloper Stack & InfrastructureTools & Practical Usage

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The post points out core pain points in debugging multi-step LLM agents, including invalid JSON breaking workflows, prompts growing too large across steps, latency spikes from specific tools, and difficulty discerning how runs differ.
As flows become more complex, logs alone stop being helpful for diagnosing issues.
The author built a personal tracing setup to map runs to spans and inputs/outputs, which significantly improved visibility into agent behavior.
They are seeking community approaches, asking whether people rely on logs and retries or use tracing/visualization tools.

I’ve been building multi-step LLM agents (LLM + tools), and debugging them has been way harder than I expected.

Some recurring issues I keep hitting:

- invalid JSON breaking the workflow

- prompts growing too large across steps

- latency spikes from specific tools

- no clear way to understand what changed between runs

Once flows get even slightly complex, logs stop being very helpful.

I’m curious how others are handling this — especially for multi-step agents.

Are you just relying on logs + retries, or using some kind of tracing / visualization?

I ended up building a small tracing setup for myself to see runs → spans → inputs/outputs, which helped a lot, but I’m wondering what approaches others are using.

submitted by /u/Senior_Big4503
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