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rohaga

HN member
Joined
Fri, May 08, 2026, 4:09 AM UTC
HN karma
39
Public activity
12 items

About rohaga

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Recent public activity

  1. comment
    Comment #49101426

    We have run it on DeepSWE, check out our blog post for details of how we leverage the intelligence of the smart models https://usetokenless.com/blog/building-tokenless/

  2. comment
    Comment #49101297

    Since we fan out in parallel, by definition the latency is only at worst the latency of the slowest model. The model in between is fairly light, so it seems to not materially affec…

  3. comment
    Comment #49101275

    Yeah this is a great observation--we have to collect some more data to understand new models as they come out. However, by having this composable architecture that separates "confi…

  4. comment
    Comment #49101247

    I agree that adjusting the reasoning effort to retain cache is a huge thing! But even doing that automatically is currently a challenge for people to figure out and do well, and co…

  5. comment
    Comment #49100431

    It automatically works with multi-turn routing. You can try it yourself in Claude Code or Codex

  6. comment
    Comment #49099992

    Thanks for the praise! We think the results are a work in progress. Routing is convincing for quality for the following reason. Take your favorite benchmark, and on each task, run …

  7. comment
    Comment #49099917

    Well, you can estimate the confidence BEFORE you start the task, too. That way you can restrict your trajectory to just a few models. We also think there are tons of people working…

  8. comment
    Comment #49099871

    Highly encourage you to read the blog post ( https://usetokenless.com/blog/building-tokenless ). Essentially, we estimate the confidence of a specific model failing or succeeding o…

  9. comment
    Comment #49099733

    Our research seems to indicate you can get a decent signal based on the first few reasoning trace summaries. We analyzed hundreds of billions of tokens to figure this out. Any open…

  10. comment
    Comment #49099507

    If we cut off an unconfident/expensive model early in thinking, then we don't have to pay for additional thinking cost at all. For many tasks, this is quite a large saving. That be…

  11. comment
    Comment #49099420

    > So this only switches models if the cache is cold Not exactly. It can also make sense if the cache is hot to switch models. For example, we might currently be on Deepseek and the…

  12. story
    Launch HN: Tokenless (YC S26) – Automatic model switching to save money

    Hi HN, Rohit here from Tokenless ( https://usetokenless.com/ ), which I’m building alongside co-founders Andrew and Kev. We’re building an API gateway which routes agent traffic dy…