3 ms·

Hmm, I tried that and made the config file change but it didn't work for me. I just see: DATE INPUT OUTPUT CACHE_CR CACHE_RD COST MODELS

Hmm, I tried that and made the config file change but it didn't work for me. I just see: DATE INPUT OUTPUT CACHE_CR CACHE_RD COST MODELS ---- ----- ------ -------- -------- ---- ------ 2026-06-09 142015 85315 321224 6880110 $10.96 claude-fable-5, gpt-5.5, claude-haiku-4-5-20251001 I tried to filter down to just fable (or 5.5 so I could deduct it) but the `--agent` flag doesn't seem to work how I'd expect... I think the $10.96 is coming from gpt-5.5 since I switched to it once I exhausted all my usage on CC. CCusage reports completely different numbers so I don't know which one of those is right. Thanks for trying, for yesterday ccusage says "$92.02" for claude, which I assumed was the Fable usage.

simonw 4mo ago
If you run this: uvx agentsview serve You'll get a localhost web application which makes it much easier to filter by model.
- joshstrange 4mo ago
  That's very interesting, I had not used agentsview at all before today and I'll have to keep that in my back pocket. Unfortunately it's not telling the whole story. The last message from the _only_ Fable session it monitored was: > The data layer looks clean — <REDACTED>. Now waiting on the 11-angle workflow — verification and the gap sweep run after the finders; I'll compile the full ranked findings list when it completes. And my memory jives with that, I could see in the footer that it had spun up 11 agents (though agentsview says it used 0 subagents, don't know if it was "actually" workflows that it spun up?). It's like it didn't record the sub-sessions/sub-agents info? I'm still shocked that my prompt (which I now can see thanks to this tool) of: > Please review all the uncommitted work in this repo and identify any issues. was able to burn so much, so quickly, and, most frustratingly, without actually doing anything useful because killing it was my only option lest it spend even more of "extra usage". Overview of usage: https://cs.joshstrange.com/RjGzWVXy https://cs.joshstrange.com/RjGzWVXy Stats for that 1 session: https://cs.joshstrange.com/Fj5qv1wl https://cs.joshstrange.com/Fj5qv1wl
  - simonw 4mo ago
    Can you tell in AgentsView if Fable spun up a bunch of Opus/Haiku/etc subagents that burned tokens as well?
    - joshstrange 4mo ago
      It's as if it spun up a bunch of subagents but agentsview doesn't report on it. I see a tiny bit of Haiku use once I turn on all models (except gpt-5.5). https://cs.joshstrange.com/z9x6SPcC https://cs.joshstrange.com/z9x6SPcC

simonw 4mo ago

If you run this: uvx agentsview serve You'll get a localhost web application which makes it much easier to filter by model.

joshstrange 4mo ago
That's very interesting, I had not used agentsview at all before today and I'll have to keep that in my back pocket. Unfortunately it's not telling the whole story. The last message from the _only_ Fable session it monitored was: > The data layer looks clean — <REDACTED>. Now waiting on the 11-angle workflow — verification and the gap sweep run after the finders; I'll compile the full ranked findings list when it completes. And my memory jives with that, I could see in the footer that it had spun up 11 agents (though agentsview says it used 0 subagents, don't know if it was "actually" workflows that it spun up?). It's like it didn't record the sub-sessions/sub-agents info? I'm still shocked that my prompt (which I now can see thanks to this tool) of: > Please review all the uncommitted work in this repo and identify any issues. was able to burn so much, so quickly, and, most frustratingly, without actually doing anything useful because killing it was my only option lest it spend even more of "extra usage". Overview of usage: https://cs.joshstrange.com/RjGzWVXy https://cs.joshstrange.com/RjGzWVXy Stats for that 1 session: https://cs.joshstrange.com/Fj5qv1wl https://cs.joshstrange.com/Fj5qv1wl
- simonw 4mo ago
  Can you tell in AgentsView if Fable spun up a bunch of Opus/Haiku/etc subagents that burned tokens as well?
  - joshstrange 4mo ago
    It's as if it spun up a bunch of subagents but agentsview doesn't report on it. I see a tiny bit of Haiku use once I turn on all models (except gpt-5.5). https://cs.joshstrange.com/z9x6SPcC https://cs.joshstrange.com/z9x6SPcC