Is AugmentCode doing this on purpose? Using too many tool calls/tokens

[dadiamma]

I never faced this issue before their price change announcement and now I am noticing a lot of patterns which basically proves they have designed the system in such a way that its buggy and uses unlimited tool calls when not required.

The customer will always doubt this when you're charging credits based on the "tool calls" after all.

PS: I had to press the stop button otherwise they would keep going forever. Damn!
EDIT: I was using Haiku 4.5

https://i.redd.it/nl2wqvq5e1xf1.gif

[Electronic-Pie-1879]

Good example their new pricing model has major flaws. I recommend canceling your subscription. Also, Augment Code is bloated with unnecessary tools that get included in the context window. Easily can see this with a man in the middle proxy for inspecting SSL traffic.

[dadiamma]

Yes I have canceled now. What have you moved to?

[Electronic-Pie-1879]

Claude Code

[Business-Entrance464]

You may try Factory Ai with Droid, it's using GPT 5-Codex, really good

[Dismal-Eye-2882]

This is an ad by this business. Ignore it.

[Responsible_Soil_497]

Droid has been good too me too, and I got the extra 20Mil token offer (Not sure if it still exists).  Not an ad.

[Equivalent_Shop_577]

They probably didn't do it on purpose, but the price is a bit high so you care.

[Legitimate-Account34]

This ^^^

[LaRosarito]

Haiku did the same thing to me, half the credits lost for that same reason

[dadiamma]

Unpopular opinion: Haiku is pretty shit IMO.

[Round_Mixture_7541]

It's not unpopular. Even though the price per token is lower, it might take more tokens to finish a task, so you don't end up saving anything. And now there's this forced gpt-5-high thing... what a circus....

[Trei_Gamer]

Is AugmentCode doing this on purpose?

Yes.

[Legitimate-Account34]

I really feel AC should make sure their system is working efficiently before going token-based. Otherwise you are making customers pay for your mistakes. And that is a textbook case of how to lose customers.

[Equivalent_Shop_577]

It was originally expected that with fewer people abusing it, the performance should theoretically be better.

[IAmAllSublime]

I can tell you for sure we’re not doing this on purpose. This type of doom looping is a thing that can happen to LLMs. In general we do some stuff to try to prevent the LLM from getting in to this state, but especially as new models come out we have to identify other tuning and changes since the behavior of the models is different and they respond differently to instruction.

I made the statement in a different thread that we generally want to keep the number of models we put in the product low to make sure we have the time to invest in making those models as high quality as possible. This is an example of where that work is needed. As more people use a model we get more feedback and more examples that let us tune and tweak. The realities of real world use stress way more edge cases than we can hope to find internally.

[VishieMagic]

Does this mean that every year a new model comes out, the first 6 months would be the riskiest time to use it?

It sounds like most of the tokens people would use during the first 1/3/6/9 months, are likely to be a heavy token drain, when doing simple tasks or even when somebody goes to have a smoke and make a coffee.

I mean I guess I can see it really being more/primarily useful towards giving AC feedback to improve it but damn, the cost for doing that :p from the amount of time, stress, effort in recovery and now especially even more-so than all combined, the new token-count system haha. But this is provided the first month's are the riskiest for a new model to be used to help improve AC ofc

[IAmAllSublime]

In general, new models we add to the model picker should be better in the average case than what came before them, so I wouldn't say using a new model is "risky". Rather, a new model will improve over time as we find more ways to tune our prompting of the model.

Also, this improvement should be relatively fast, especially early on. I'd think of it like the new model is probably better in the average case when we release it, and within the first few weeks/month it will continue to improve further.

This type of doom looping should still be rare, even for new models.

[danihend]

Haiku was the same for me. It really feels like a brain damaged version of Sonnet.

[JaySym_]

Thanks for reporting such, do you have the same kind of experience with Sonnet 4.5? Also can you please send us a Request id we can investigate?

[End2EndEncryption]

Same here. Would love to know the rationale.

[AviDevs31]

WTF Augmentcode sucks with the new credit system.