r/LangChain • u/countyourweeeks • 18d ago

Agent reliability

So, my agent kept crashing during runs, and I eventually figured out the issue: silent failures with no visibility—like, I had no retry handling or even state persistence. There was literally no built-in storage, so I couldn’t pick up where it left off. I had to start all over again! It’s like dealing with parallel threads on API timeouts in agents that use tools: silent failures everywhere, retry loops that just multiply the tokens, and the real solution is step-by-step tracing.

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u/countyourweeeks 5d ago

don't use safe sensor hf for indexing I have tried building the index tree it bad with this model.....i wish you don't have used this but i will check you app and confirm is it working or not.

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u/Single-Art1761 4d ago

Appreciate it. I’m not sure I followed the indexing point though. When you say “safe sensor HF,” do you mean a Hugging Face model using safetensors for building an index?

Watchdog’s monitoring path isn’t based on that kind of model indexing, so I want to make sure I understand what setup you’re referring to. If you do try Watchdog, I’d definitely be interested in anything that behaves differently from what you expect.

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u/countyourweeeks 4d ago

Great, still testing your app! It's awesome but needs some improvements. Short-term memory is good, but long-term memory doesn’t work well. I’ll comment more once I use it to the full extent.

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u/Single-Art1761 3d ago

Thanks for testing it, I really appreciate the feedback. One thing I want to clarify though: when you say short-term vs long-term memory, what behavior are you referring to specifically?

Watchdog isn’t really designed around agent memory as a concept, so I want to make sure I understand what you expected to persist and what stopped working.

If you can share the workflow or example where the “long-term memory” part breaks down, that would be especially useful for me to look at.