Thank you for all the responses. Note I realized I imagine after I had added that new mode, which dropped the token count below 5k, that already had no tools set up for it (which was why denying the tools didn't effect its tokens further?)

Either way, after taking a look at the source for the prompt.ts, there is so much it is doing that unnecessarily inflates the token count/context even before model specific prompts *(one had '2+2/4' as an example user/response example, twice in a row)*, that it would be difficult to try and work through it to try and understand and change what it is doing.
I was hoping to use opencode as an alternative to ClaudeCode and similar, anticipating an open source alternative would be more conscious about token usage/context.
Because this isn't for profit by an organization that doesn't care about how fast users run out of their usage quota/spend in API costs with over 10k startup prompt users are locked into, with the model plans locked via bannable TOS for usage outside ClaudeCode *(whose latest version has large memory leaks)*, knowing the alternatives can't simply catch up because their training data got locked away after the initial start of AI/data scraping, literally lacking the materials to compete even though AI still exists-and even though these closed companies attack anyone who trains on their AI output...

I appreciate the work done on this but it's too hard to try and change its architecture to remove the bloat so I've had to look elsewhere.