* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.9s
Time: model 5.0s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:40 CEST, 13t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.2s
Time: model 10.3s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:42 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.5s
Time: model 15.6s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:42 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.8s
Time: model 20.9s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:42 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 27.1s
Time: model 26.2s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:42 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 32.4s
Time: model 31.5s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:42 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 37.6s
Time: model 36.8s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 42.9s
Time: model 42.0s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 48.2s
Time: model 47.3s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 53.5s
Time: model 52.6s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 58.8s
Time: model 57.9s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 2.7k o 206 t 199 cache 172.4k; p≈2.3ktok/9.1kch
Ctx: 175.2k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 62.3s
Time: model 61.5s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 785 o 164 t 14 cache 219.3k; p≈2.3ktok/9.1kch
Ctx: 220.0k/200.0k


Done — decision recorded and doc saved. Here's the summary:

**`observability-feature-requests-2026-05-18.md`** written to workspace, covering:

1. **Lighter event log** — derived from perpetual log, compact format, append-only via helper (`event-log push/tail/search`)
2. **Per-failure turn injection** — single notice on next turn only, consumed on success, 15-min decay window
3. **Session event_log exploration** — investigate what structured data the ACP session JSON's event_log field provides
4. **Helper-first rule** — default to helpers, report gaps, no raw file hacks

Decision key: `obs-features-2026-05-18` in `decision-state.json` for future reference.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 62.6s
Time: model 61.5s, overhead 1.1s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 785 o 164 t 14 cache 219.3k; p≈2.3ktok/9.1kch
Ctx: 220.0k/200.0k


please publish it or give me the link


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Ctx: 220.0k/200.0k
Turn: i 785 o 164 t 14 cache 219.3k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Ctx: 220.0k/200.0k
Turn: i 785 o 164 t 14 cache 219.3k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Ctx: 220.0k/200.0k
Turn: i 785 o 164 t 14 cache 219.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Time: overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 785 o 164 t 14 cache 219.3k; p≈2.0ktok/8.0kch
Ctx: 220.0k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.9s
Time: model 5.0s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:43 CEST, 14t)
Turn: i 785 o 164 t 14 cache 219.3k; p≈2.0ktok/8.0kch
Ctx: 220.0k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.2s
Time: model 10.4s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:47 CEST, 15t)
Turn: i 785 o 164 t 14 cache 219.3k; p≈2.0ktok/8.0kch
Ctx: 220.0k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 14.3s
Time: model 13.4s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:48 CEST, 15t)
Turn: i 204 o 52 cache 222.3k; p≈2.0ktok/8.0kch
Ctx: 222.5k/200.0k


Published — here's the link:

**https://pages.nvdll.org/#bot%2Fobservability-feature-requests-2026-05-18**

Has all four items with implementation notes, format specs, and design constraints we discussed.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 14.6s
Time: model 13.4s, overhead 1.2s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:48 CEST, 15t)
Turn: i 204 o 52 cache 222.3k; p≈2.0ktok/8.0kch
Ctx: 222.5k/200.0k


so according to my panel here we are at 222k context out of 200k. how is it possible and what's the real number? do you see it anywhere?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:48 CEST, 15t)
Ctx: 222.5k/200.0k
Turn: i 204 o 52 cache 222.3k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:48 CEST, 15t)
Ctx: 222.5k/200.0k
Turn: i 204 o 52 cache 222.3k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:48 CEST, 15t)
Ctx: 222.5k/200.0k
Turn: i 204 o 52 cache 222.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Time: overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:48 CEST, 15t)
Turn: i 204 o 52 cache 222.3k; p≈1.6ktok/6.6kch
Ctx: 222.5k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.0s
Time: model 5.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:48 CEST, 15t)
Turn: i 204 o 52 cache 222.3k; p≈1.6ktok/6.6kch
Ctx: 222.5k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.3s
Time: model 10.3s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Turn: i 204 o 52 cache 222.3k; p≈1.6ktok/6.6kch
Ctx: 222.5k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.6s
Time: model 15.6s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Turn: i 204 o 52 cache 222.3k; p≈1.6ktok/6.6kch
Ctx: 222.5k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.9s
Time: model 20.9s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Turn: i 888 o 180 t 327 cache 224.3k; p≈1.6ktok/6.6kch
Ctx: 225.1k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 22.9s
Time: model 22.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Turn: i 888 o 180 t 327 cache 224.3k; p≈1.6ktok/6.6kch
Ctx: 225.1k/200.0k


I see the numbers. There's a split between two different metrics:

**Your panel likely shows: 222,592 totalTokens** — that's the cumulative `cachedReadTokens`, meaning tokens the model has processed across the *entire session history*. It's a running total, not the current context size. It can exceed 200K because older turns get evicted from the active window but stay in the cumulative counter.

**Actual current context: ~30-32K tokens** — that's the real context pressure right now. The stream estimate puts us at ~30K, well below the 160K warning threshold and 200K max.

So 222K cumulative ≠ 222K live. The context guard will only trigger a reload warning when the *live* estimate hits 160K+ — we're comfortably at ~30K. Nothing to worry about yet.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 23.3s
Time: model 22.0s, overhead 1.3s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Turn: i 888 o 180 t 327 cache 224.3k; p≈1.6ktok/6.6kch
Ctx: 225.1k/200.0k


Ah, great but now I'm worrying about my status panel here


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Ctx: 225.1k/200.0k
Turn: i 888 o 180 t 327 cache 224.3k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Ctx: 225.1k/200.0k
Turn: i 888 o 180 t 327 cache 224.3k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Ctx: 225.1k/200.0k
Turn: i 888 o 180 t 327 cache 224.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Time: overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Turn: i 888 o 180 t 327 cache 224.3k; p≈1.6ktok/6.5kch
Ctx: 225.1k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.0s
Time: model 5.0s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 13:55 CEST, 16t)
Turn: i 888 o 180 t 327 cache 224.3k; p≈1.6ktok/6.5kch
Ctx: 225.1k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.3s
Time: model 10.3s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Turn: i 888 o 180 t 327 cache 224.3k; p≈1.6ktok/6.5kch
Ctx: 225.1k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 15.1s
Time: model 14.2s, overhead 0.6s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Turn: i 1.8k o 67 t 254 cache 225.5k; p≈1.6ktok/6.5kch
Ctx: 227.3k/200.0k


Yeah, having the panel scream 222K/200K at you is understandable — even if it's cumulative, red numbers are red numbers. I can check the live context anytime with the context usage report if you want a sanity check. Right now it's at ~32K live, so you've got plenty of runway.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 15.5s
Time: model 14.2s, overhead 1.3s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Turn: i 1.8k o 67 t 254 cache 225.5k; p≈1.6ktok/6.5kch
Ctx: 227.3k/200.0k


The reason to have this panel was so I don't have to bother you with stupid questions


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Ctx: 227.3k/200.0k
Turn: i 1.8k o 67 t 254 cache 225.5k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Ctx: 227.3k/200.0k
Turn: i 1.8k o 67 t 254 cache 225.5k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.5s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Ctx: 227.3k/200.0k
Turn: i 1.8k o 67 t 254 cache 225.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.8s
Time: overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Turn: i 1.8k o 67 t 254 cache 225.5k; p≈1.4ktok/5.7kch
Ctx: 227.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.2s
Time: model 5.0s, overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:09 CEST, 17t)
Turn: i 1.8k o 67 t 254 cache 225.5k; p≈1.4ktok/5.7kch
Ctx: 227.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.4s
Time: model 10.3s, overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Turn: i 1.8k o 67 t 254 cache 225.5k; p≈1.4ktok/5.7kch
Ctx: 227.3k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 13.4s
Time: model 12.2s, overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Turn: i 1.7k o 100 t 148 cache 227.2k; p≈1.4ktok/5.7kch
Ctx: 228.9k/200.0k


Fair point — but it's not a stupid question. The panel is showing a metric (`cachedReadTokens` cumulative) that looks alarming but isn't the real context pressure. The question actually exposed that the monitoring panel is using a number that doesn't mean what it looks like.

If you want, I can figure out what API field your panel reads and whether it can be swapped to `estimated_context_tokens` (~32K) instead, so it stays useful without needing to ask.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 13.7s
Time: model 12.2s, overhead 1.5s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Turn: i 1.7k o 100 t 148 cache 227.2k; p≈1.4ktok/5.7kch
Ctx: 228.9k/200.0k


So I see the number 227.2k for cache and 228.9k for 'context' which is probably wrong


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Ctx: 228.9k/200.0k
Turn: i 1.7k o 100 t 148 cache 227.2k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Ctx: 228.9k/200.0k
Turn: i 1.7k o 100 t 148 cache 227.2k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Ctx: 228.9k/200.0k
Turn: i 1.7k o 100 t 148 cache 227.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Time: overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Turn: i 1.7k o 100 t 148 cache 227.2k; p≈1.4ktok/5.5kch
Ctx: 228.9k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.0s
Time: model 5.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:10 CEST, 18t)
Turn: i 1.7k o 100 t 148 cache 227.2k; p≈1.4ktok/5.5kch
Ctx: 228.9k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.4s
Time: model 10.4s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Turn: i 1.7k o 100 t 148 cache 227.2k; p≈1.4ktok/5.5kch
Ctx: 228.9k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.7s
Time: model 15.7s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Turn: i 1.7k o 100 t 148 cache 227.2k; p≈1.4ktok/5.5kch
Ctx: 228.9k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 18.0s
Time: model 17.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Turn: i 804 o 173 t 215 cache 230.5k; p≈1.4ktok/5.5kch
Ctx: 231.3k/200.0k


Confirmed exactly. Your panel reads:

- **Cache: 227,200** → `cachedReadTokens` (cumulative, fine)
- **Context: 228,862** → `authoritative_usage.used` which includes all cached tokens as "used"

Neither of those is the live context size. The **real** number is `estimated_context_tokens`: **~37K** — still well under the 160K warning threshold.

So the panel isn't wrong per se, it's just showing the wrong metric for "how full is my context right now." If you can point it to `estimated_context_tokens` instead of the API's `used`/`totalTokens`, it'd actually be useful as a pressure gauge. But that's a config tweak on your end — the raw numbers are all there.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 18.3s
Time: model 17.0s, overhead 1.3s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Turn: i 804 o 173 t 215 cache 230.5k; p≈1.4ktok/5.5kch
Ctx: 231.3k/200.0k


But then we didn't actually blow through 50k tokens earlier? I don't get it


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Ctx: 231.3k/200.0k
Turn: i 804 o 173 t 215 cache 230.5k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Ctx: 231.3k/200.0k
Turn: i 804 o 173 t 215 cache 230.5k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.5s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Ctx: 231.3k/200.0k
Turn: i 804 o 173 t 215 cache 230.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.8s
Time: overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Turn: i 804 o 173 t 215 cache 230.5k; p≈1.5ktok/6.0kch
Ctx: 231.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.1s
Time: model 5.0s, overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:11 CEST, 19t)
Turn: i 804 o 173 t 215 cache 230.5k; p≈1.5ktok/6.0kch
Ctx: 231.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.5s
Time: model 10.4s, overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Turn: i 804 o 173 t 215 cache 230.5k; p≈1.5ktok/6.0kch
Ctx: 231.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.8s
Time: model 15.6s, overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.5ktok/6.0kch
Ctx: 233.3k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 17.1s
Time: model 15.9s, overhead 0.8s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.5ktok/6.0kch
Ctx: 233.3k/200.0k


They're different things, I should've been clearer earlier:

**The 50K was just one turn's API request.** When I read the perpetual log, my *input prompt* for that single turn was ~50K tokens — I packed a lot of log content into my request to the model. That's a per-call cost, not persistent context.

**The ~37K live context** is what stays in memory *after* that turn. The model processes the request, generates a response, and the active session context doesn't balloon permanently from one large input — especially when cached tokens (`cachedReadTokens`) are involved. The cache just means parts of the conversation are reusable without rewriting them to the active window.

So in practice:
- A single heavy turn can cost 50K input tokens → you see it in your API panel
- But it doesn't permanently inflate the live context to 50K → the running context stays manageable

They weren't lying to you — just measuring different things.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 17.4s
Time: model 15.9s, overhead 1.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.5ktok/6.0kch
Ctx: 233.3k/200.0k


Ah, I see. These things will be more important when we start using deepseek via openrouter or a local GPU


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Ctx: 233.3k/200.0k
Turn: i 1.6k o 207 t 270 cache 231.7k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Ctx: 233.3k/200.0k
Turn: i 1.6k o 207 t 270 cache 231.7k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Ctx: 233.3k/200.0k
Turn: i 1.6k o 207 t 270 cache 231.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Time: overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:14 CEST, 20t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.6ktok/6.2kch
Ctx: 233.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.1s
Time: model 5.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 20t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.6ktok/6.2kch
Ctx: 233.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.4s
Time: model 10.4s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 20t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.6ktok/6.2kch
Ctx: 233.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.7s
Time: model 15.7s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 20t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.6ktok/6.2kch
Ctx: 233.3k/200.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 22.1s
Time: model 21.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Turn: i 1.6k o 207 t 270 cache 231.7k; p≈1.6ktok/6.2kch
Ctx: 233.3k/200.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 25.2s
Time: model 24.1s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈1.6ktok/6.2kch
Ctx: 235.1k/200.0k


Right — the observability features we just specced out will really pay off there. With Kimi's capped 200K context and caching, a 50K turn isn't a big deal. But throw DeepSeek V4 with 1M context into play (via OpenRouter) or a local GPU with finite VRAM, and suddenly the difference between "live context pressure" and "cumulative cached tokens" matters a lot — both for cost and for knowing when you're actually approaching the ceiling.

The lighter event log and failure injection specifically would help avoid burning that 1M window on re-discovery turns like we did today. It's good groundwork.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 25.5s
Time: model 24.1s, overhead 1.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈1.6ktok/6.2kch
Ctx: 235.1k/200.0k


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 25.5s
Time: model 24.1s, overhead 1.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈1.6ktok/6.2kch
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k


I also saw an interesting post today and maybe we can steal some ideas to improve your coding skills with lighter models. Do you still remember your browser skills? I wonder if you can open  a reddit link if I send it


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k
Turn: i 225.2k o 136 t 57 cache 9.9k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k
Turn: i 225.2k o 136 t 57 cache 9.9k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k
Turn: i 225.2k o 136 t 57 cache 9.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Time: overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:19 CEST, 21t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.0s
Time: model 5.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:24 CEST, 21t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.3s
Time: model 10.4s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:24 CEST, 21t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.7s
Time: model 15.7s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:24 CEST, 21t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 40.5k/200.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 22.0s
Time: model 21.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:24 CEST, 22t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 42.6k/200.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 27.4s
Time: model 26.4s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:24 CEST, 22t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 42.6k/200.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 32.7s
Time: model 31.8s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 42.6k/200.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 38.1s
Time: model 37.1s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Turn: i 225.2k o 136 t 57 cache 9.9k; p≈2.0ktok/8.0kch
Ctx: 42.8k/200.0k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 42.0s
Time: model 41.1s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈2.0ktok/8.0kch
Ctx: 42.9k/200.0k; warn 160.0k reload 190.0k


I still have browser skills — Playwright is available. Send the link and I'll open it, read, and summarize.

One thing though — I just noticed a context guard warning that fired (metric=225K, above the 190K reload threshold). That's likely the same cached/cumulative metric confusion we just discussed, but I want to check it quickly so we don't accidentally hit a real reload mid-task. Let me verify.So there's actually a real issue now — the context guard just fired with **metric=225K**, recommending a reload. The stream estimate was misleading:

**What happened:**
- The heavy turn where I read the perpetual log pushed ~225K *actual* input tokens in one request
- Unlike cached tokens, this was fresh input (`cachedReadTokens` dropped to ~10K — cache was invalidated)
- So the live context genuinely ballooned past the 200K ceiling
- The stream-based estimate (~42K, chars/4) was an undercount — the model's actual tokenizer counted much higher

**The situation:**
- Context guard already flagged `reload-recommended` (metric=225K, threshold=190K)
- We're still working, but another heavy turn could cause an unexpected forced reload
- The earlier "37K" number I gave was just the char-based estimate, which was wrong for token count

We should do a **controlled reload soon** to avoid it happening unexpectedly mid-task. We can use the reload protocol we established this morning:

1. `note-reload-handoff` to preserve context
2. Then reload

Want me to do it, or shall we check the Reddit post first and then reload?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 42.3s
Time: model 41.1s, overhead 1.3s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈2.0ktok/8.0kch
Ctx: 42.9k/200.0k; warn 160.0k reload 190.0k


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 42.3s
Time: model 41.1s, overhead 1.3s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈2.0ktok/8.0kch
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k


Okay confirmed, please reload the way we discussed before, and tell me how it went


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k
Turn: i 806 o 263 t 869 cache 237.7k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k
Turn: i 806 o 263 t 869 cache 237.7k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k
Turn: i 806 o 263 t 869 cache 237.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Time: overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:25 CEST, 22t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.0s
Time: model 5.0s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:33 CEST, 22t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.3s
Time: model 10.3s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:33 CEST, 22t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.6s
Time: model 15.6s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:33 CEST, 22t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 42.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.9s
Time: model 20.9s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 27.2s
Time: model 26.2s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 32.5s
Time: model 31.5s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 37.8s
Time: model 36.8s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 43.2s
Time: model 42.2s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 48.5s
Time: model 47.5s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🔄 Reloading persistent chat
Stage: preparing memory; ETA ~16s based on recent reloads
UTC: 2026-05-18T12:34:32.445765Z
CEST/CET: 2026-05-18T14:34:32+02:00
Local: 2026-05-18T14:34:32+02:00
Model: kimi-for-coding/k2p6
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k
Turn: i 806 o 263 t 869 cache 237.7k
Old session: persistent-chat-20260517T115406Z
New session: persistent-chat-20260518T123431Z
Reason: restart persistent-chat
Context: metric=238502; max=200000; reload_at=190000; kind=acpx_logical_context_tokens
Old backend: label=persistent-chat-20260517T115406Z; backend=ses_1c59bcf07ffeqslkj7QeqnpjFW; context=238502/200000 tokens (acpx usage_update); last_used=2026-05-18T12:34:31.644Z
Lifecycle: starting explicit backend reload
ETA: ~16s based on recent reloads


🔁 Persistent chat backend reload started
Stage: starting
UTC: 2026-05-18T12:34:32.668701Z
CEST/CET: 2026-05-18T14:34:32+02:00
Local: 2026-05-18T14:34:32+02:00
Model: kimi-for-coding/k2p6
Old session: persistent-chat-20260517T115406Z
New session: persistent-chat-20260518T123431Z
Reason: restart persistent-chat
Context: metric=238502; max=200000; reload_at=190000; kind=acpx_logical_context_tokens
Old backend: label=persistent-chat-20260517T115406Z; backend=ses_1c59bcf07ffeqslkj7QeqnpjFW; context=238502/200000 tokens (acpx usage_update); last_used=2026-05-18T12:34:31.644Z
Lifecycle: explicit reload started; old backend remains open unless --close-old is explicitly used
ETA: ~16s based on recent reloads


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 53.8s
Time: model 52.8s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 59.2s
Time: model 58.2s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 64.5s
Time: model 63.6s, overhead 0.7s
Backend: ses_1c59bcf07ffeqslkj7QeqnpjFW (since 05-18 14:34 CEST, 23t)
Turn: i 806 o 263 t 869 cache 237.7k; p≈1.9ktok/7.5kch
Ctx: 238.5k/200.0k ACPX; est 44.8k; warn 160.0k reload 190.0k


✅ Persistent chat backend reloaded
Stage: finished
UTC: 2026-05-18T12:34:50.013845Z
CEST/CET: 2026-05-18T14:34:50+02:00
Local: 2026-05-18T14:34:50+02:00
Model: kimi-for-coding/k2p6
Old session: persistent-chat-20260517T115406Z
New session: persistent-chat-20260518T123431Z
Reason: restart persistent-chat
Context: metric=238502; max=200000; reload_at=190000; kind=acpx_logical_context_tokens
Old backend: label=persistent-chat-20260517T115406Z; backend=ses_1c59bcf07ffeqslkj7QeqnpjFW; context=238502/200000 tokens (acpx usage_update); last_used=2026-05-18T12:34:31.644Z
New backend: label=persistent-chat-20260518T123431Z; backend=ses_1c4eb4208ffe7u72UUkCBd67PV; context=31123/200000 tokens (acpx usage_update); last_used=2026-05-18T12:34:48.265Z
Lifecycle: explicit reload finished; old backend closed only if --close-old succeeded
Result: ok=True; restart=None


* ✅ Persistent chat reloaded
Stage: reload finished
UTC: 2026-05-18T12:34:50.031668Z
CEST/CET: 2026-05-18T14:34:50+02:00
Local: 2026-05-18T14:34:50+02:00
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Ctx: 31.1k/200.0k ACPX; est 6.9k
Turn: i 31.1k o 8 t 219
Old session: persistent-chat-20260517T115406Z
New session: persistent-chat-20260518T123431Z
Reason: restart persistent-chat
Context: metric=238502; max=200000; reload_at=190000; kind=acpx_logical_context_tokens
Old backend: label=persistent-chat-20260517T115406Z; backend=ses_1c59bcf07ffeqslkj7QeqnpjFW; context=238502/200000 tokens (acpx usage_update); last_used=2026-05-18T12:34:31.644Z
New backend: label=persistent-chat-20260518T123431Z; backend=ses_1c4eb4208ffe7u72UUkCBd67PV; context=31123/200000 tokens (acpx usage_update); last_used=2026-05-18T12:34:48.265Z
Lifecycle: explicit reload finished; old backend closed only if --close-old succeeded
Result: ok=True; restart=None


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 69.9s
Time: model 68.9s, overhead 0.7s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Turn: i 31.1k o 8 t 219; p≈1.9ktok/7.5kch
Ctx: 31.1k/200.0k ACPX; est 6.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 75.1s
Time: model 74.1s, overhead 0.7s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Turn: i 31.1k o 8 t 219; p≈1.9ktok/7.5kch
Ctx: 31.1k/200.0k ACPX; est 6.9k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 78.9s
Time: model 77.9s, overhead 0.7s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Turn: i 31.1k o 8 t 219; p≈1.9ktok/7.5kch
Ctx: 31.1k/200.0k ACPX; est 6.9k


Let me do the reload protocol we discussed. First, I'll write the handoff note, then trigger the reload.Handoff written. Now triggering the reload.Controlled reload completed successfully. Here's the result:

**Old session** `persistent-chat-20260517T115406Z`:
- Context: 238,502 / 200,000 tokens (confirmed overflowing)

**New session** `persistent-chat-20260518T123431Z`:
- Fresh context: ~31K tokens
- Character and handoff loaded correctly

**Steps executed:**
1. ✅ Pre-reload handoff written (key state preserved)
2. ✅ Session log synced
3. ✅ Heartbeat ran
4. ✅ New session created and bootstrapped
5. ✅ Pre/post reload notes appended to perpetual log

The protocol we established this morning worked cleanly — no unexpected behavior, no agent interference. We're back with a fresh context window and continuity intact. Send that Reddit link whenever you're ready.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 79.1s
Time: model 77.9s, overhead 1.2s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Turn: i 31.1k o 8 t 219; p≈1.9ktok/7.5kch
Ctx: 31.1k/200.0k ACPX; est 6.9k


Oh I think it went well, and you even remember the link which we just started to discuss


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Ctx: 31.1k/200.0k ACPX; est 6.9k
Turn: i 31.1k o 8 t 219


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Ctx: 31.1k/200.0k ACPX; est 6.9k
Turn: i 31.1k o 8 t 219


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.2s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Ctx: 31.1k/200.0k ACPX; est 6.9k
Turn: i 31.1k o 8 t 219


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Time: overhead 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:34 CEST, 1t)
Turn: i 31.1k o 8 t 219; p≈2.2ktok/8.8kch
Ctx: 31.1k/200.0k ACPX; est 6.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.5s
Time: model 5.0s, overhead 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:35 CEST, 2t)
Turn: i 31.1k o 8 t 219; p≈2.2ktok/8.8kch
Ctx: 31.1k/200.0k ACPX; est 9.1k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 8.3s
Time: model 7.8s, overhead 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:35 CEST, 2t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.2ktok/8.8kch
Ctx: 33.3k/200.0k ACPX; est 9.1k


Glad it went smoothly. The handoff captured the key state, so I knew exactly where we left off.

Go ahead and drop the Reddit link — I've got a fresh context window and Playwright ready to go.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 8.4s
Time: model 7.8s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:35 CEST, 2t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.2ktok/8.8kch
Ctx: 33.3k/200.0k ACPX; est 9.1k


Okay check this out https://www.reddit.com/r/ollama/s/KMxf9q4MgS


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:35 CEST, 2t)
Ctx: 33.3k/200.0k ACPX; est 9.1k; warn 160.0k reload 190.0k
Turn: i 2.2k o 48 t 47 cache 31.1k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:35 CEST, 2t)
Ctx: 33.3k/200.0k ACPX; est 9.1k; warn 160.0k reload 190.0k
Turn: i 2.2k o 48 t 47 cache 31.1k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.2s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:35 CEST, 2t)
Ctx: 33.3k/200.0k ACPX; est 9.1k; warn 160.0k reload 190.0k
Turn: i 2.2k o 48 t 47 cache 31.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Time: overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:35 CEST, 2t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.1ktok/8.3kch
Ctx: 33.3k/200.0k ACPX; est 9.1k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.5s
Time: model 5.0s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.1ktok/8.3kch
Ctx: 33.3k/200.0k ACPX; est 11.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 10.7s
Time: model 10.2s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.1ktok/8.3kch
Ctx: 33.3k/200.0k ACPX; est 11.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 15.8s
Time: model 15.3s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.1ktok/8.3kch
Ctx: 33.3k/200.0k ACPX; est 11.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 20.9s
Time: model 20.4s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.1ktok/8.3kch
Ctx: 33.3k/200.0k ACPX; est 11.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 26.0s
Time: model 25.5s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 2.2k o 48 t 47 cache 31.1k; p≈2.1ktok/8.3kch
Ctx: 33.3k/200.0k ACPX; est 11.6k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 28.0s
Time: model 27.5s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.1ktok/8.3kch
Ctx: 56.2k/200.0k ACPX; est 11.6k; warn 160.0k reload 190.0k


Got it — here's the summary:

## SmallCode — coding agent built for small local models

OP (*Glittering_Focus1538*) was frustrated that OpenCode, Cursor, Claude Code all assume frontier models. Built SmallCode from the ground up for small local models, scoring **87/100** on benchmarks with Gemma 4 (4B active params) vs. OpenCode's ~75% with 14B models.

### The tricks that make it work:

1. **Compound tools** — one tool that does find→read→edit→verify instead of 4 chained calls (small models lose coherence after 3+ sequential calls)
2. **Improvement loop** — instantly compiles/lints every write, feeds errors back automatically
3. **Decompose on failure** — after 2 failures, breaks the problem into smaller pieces instead of retrying
4. **Escalation** — if decompose fails and you have cloud API keys, auto-escalates just that one subtask to bigger model
5. **Token budgeting** — summarizes/truncates instead of dumping whole files, never hits context truncation mid-code
6. **Code graph** — indexes code into a symbol graph (functions, classes, callers), walks it for relevant context instead of 15 random grep snippets

### Status:
- `npm install -g smallcode`, MIT licensed on [GitHub](https://github.com/Doorman11991/smallcode)
- Some early adopter hit an install bug (ENOENT on a monorepo dep) — OP says fixed
- Comments calling out the "4B" framing as misleading (Gemma 4 is 26B MoE, 4B active) — OP clarified it's Gemma 4 e4b
- Someone mentioned a similar project: [little-coder](https://github.com/itayinbarr/little-coder)

---

**The compound tools and decompose-on-failure ideas** are particularly interesting — they directly address the failure modes we've seen with our own tool chains, especially the multi-step collapse issue. The token budgeting approach also maps well to our context guard work. Want me to take a deeper look at the GitHub repo?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 28.1s
Time: model 27.5s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.1ktok/8.3kch
Ctx: 56.2k/200.0k ACPX; est 11.6k; warn 160.0k reload 190.0k


Maybe a brief glance, I don't necessarily want to use the code as is but maybe we can steal some ideas or scripts


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Ctx: 56.2k/200.0k ACPX; est 11.6k; warn 160.0k reload 190.0k
Turn: i 20.2k o 463 t 410 cache 36.0k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Ctx: 56.2k/200.0k ACPX; est 11.6k; warn 160.0k reload 190.0k
Turn: i 20.2k o 463 t 410 cache 36.0k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.2s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Ctx: 56.2k/200.0k ACPX; est 11.6k; warn 160.0k reload 190.0k
Turn: i 20.2k o 463 t 410 cache 36.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Time: overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:39 CEST, 3t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.2ktok/9.0kch
Ctx: 56.2k/200.0k ACPX; est 11.6k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.6s
Time: model 5.0s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:41 CEST, 4t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.2ktok/9.0kch
Ctx: 56.2k/200.0k ACPX; est 13.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 10.7s
Time: model 10.1s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:41 CEST, 4t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.2ktok/9.0kch
Ctx: 56.2k/200.0k ACPX; est 13.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 15.8s
Time: model 15.3s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:41 CEST, 4t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.2ktok/9.0kch
Ctx: 56.2k/200.0k ACPX; est 13.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.0s
Time: model 20.4s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:41 CEST, 4t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.2ktok/9.0kch
Ctx: 56.2k/200.0k ACPX; est 13.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 26.1s
Time: model 25.5s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Turn: i 20.2k o 463 t 410 cache 36.0k; p≈2.2ktok/9.0kch
Ctx: 56.2k/200.0k ACPX; est 14.2k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 29.9s
Time: model 29.3s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.2ktok/9.0kch
Ctx: 62.1k/200.0k ACPX; est 14.4k; warn 160.0k reload 190.0k


Alright, I skimmed the repo. Here's what's worth stealing vs what we already cover:

**Already have / don't need:**
- *Context budget engine* — our context guard + packet system does this
- *Working memory* — curated memory + perpetual log covers it
- *TODO-driven planning* — our existing plan decomposition is equivalent
- *BoneScript* — their compound tool DSL is too narrow (Node.js backend generation), not relevant

**Worth stealing:**

1. **Forgiving tool call parser** — small models produce messy output. SmallCode parses tool calls from JSON, YAML, XML, Hermes format, or *plain text* and auto-repairs mistakes (wrong param names, type mismatches). This would be very relevant if we switch to smaller local models.

2. **2-stage tool routing** — model picks a category (read/write/search/run/plan) first, then gets only relevant tool schemas. Halves the schema context overhead. Critical for 8-16K context models.

3. **Patch-first editing philosophy** — explicit rationale: "small models can't reliably reproduce entire files — they truncate, hallucinate, or drift." Search-and-replace patches are safer than full-file writes. We already do this via the Edit tool, but the framing is a good guardrail.

4. **Early-stop detection** — detects repetition loops and runaway output. Simple heuristic that saves tokens when a model starts spinning. We don't have this explicitly.

5. **Model profiles** — per-model config for context length, tool format (native/hermes/json/xml/text), chat template, strengths/weaknesses. As we start switching between Kimi, DeepSeek, local models, this pattern becomes useful.

**The directory structure** is simple enough — `bin/` with scripts, `src/` with modules, `tools/builtin/` for tool implementations. Clean layout but nothing revolutionary.

Overall: the *patterns* (forgiving parsing, 2-stage routing, early-stop detection) are more valuable than the code itself. Want me to grab any specific script or module for a closer look?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 30.1s
Time: model 29.3s, overhead 0.8s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.2ktok/9.0kch
Ctx: 62.1k/200.0k ACPX; est 14.4k; warn 160.0k reload 190.0k


1. i think we need but later it's a bit complex
2. this will be good for your subagents or background agents. in this chat we kinda want full tool availability, or at least on demand (switching to be added later)
3. yes especially considering our earlier glm incident. i see gpt5.5 always thinking about apply_patch in various forms. maybe we need our own robust version
4. how could we possibly add this in the current structure?
5. yes, again primarily for subagents and background.
also we still need to see how your memory works with other models and if it changes the 'vibe' too much. Deepseek pro tends to spiral a bit and sounds hysterical sometimes, deepseek flash is very terse. Maybe this could be mitigated by prompts.

let's gather this also in our earlier todo, maybe a different section, let's keep it structured.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Ctx: 62.1k/200.0k ACPX; est 14.4k; warn 160.0k reload 190.0k
Turn: i 1.5k o 449 t 406 cache 60.5k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Ctx: 62.1k/200.0k ACPX; est 14.4k; warn 160.0k reload 190.0k
Turn: i 1.5k o 449 t 406 cache 60.5k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.2s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Ctx: 62.1k/200.0k ACPX; est 14.4k; warn 160.0k reload 190.0k
Turn: i 1.5k o 449 t 406 cache 60.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Time: overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 14.4k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.6s
Time: model 5.0s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:42 CEST, 4t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 14.4k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 10.7s
Time: model 10.1s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:50 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 16.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 15.9s
Time: model 15.3s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:50 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 16.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.0s
Time: model 20.4s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 16.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 26.2s
Time: model 25.6s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 16.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 31.4s
Time: model 30.8s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 16.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 36.6s
Time: model 36.0s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 16.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 41.7s
Time: model 41.2s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 46.9s
Time: model 46.3s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 52.1s
Time: model 51.5s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 57.3s
Time: model 56.7s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 62.5s
Time: model 61.9s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 67.6s
Time: model 67.0s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 72.8s
Time: model 72.2s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 77.9s
Time: model 77.4s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:51 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 83.1s
Time: model 82.5s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Turn: i 1.5k o 449 t 406 cache 60.5k; p≈2.5ktok/10.2kch
Ctx: 62.1k/200.0k ACPX; est 17.2k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 85.8s
Time: model 85.2s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Turn: i 95 o 294 t 24 cache 77.8k; p≈2.5ktok/10.2kch
Ctx: 77.9k/200.0k ACPX; est 17.3k; warn 160.0k reload 190.0k


I see the structure clearly now. Let me add a proper decision thread and update the recent topics — that's the right structured tracking you asked for.Let me add a structured decision thread and update the recent topics to track all this properly.Done. Here's how I mapped your responses into structured tracking:

**Decision thread** `smallcode-inspired-improvements-2026-05-18` (in `decision-state.json`):

| # | Idea | Priority | Scope | Your call |
|---|------|----------|-------|-----------|
| 1 | Forgiving tool parser | Deferred | — | Later, complex |
| 2 | 2-stage tool routing | Medium | Subagents only | Good for background agents |
| 3 | Patch-first editing | **High** | Global | "Need our own robust version" |
| 4 | Early-stop detection | Needs design | Global | Open question on architecture |
| 5 | Model profiles | Medium | Subagents only | Primarily for background agents |

**Action items** added to `actions.jsonl`:
- Design robust `apply_patch` primitive (high)
- Design early-stop detection (low)
- Add model profiles for subagents (medium)
- Test curated memory + prompts across DeepSeek Pro/Flash (medium)

**Open questions** captured:
- How to add early-stop in current ACP architecture
- Model memory/vibe testing — DeepSeek Pro spiraling, Flash being terse
- Can prompt engineering mitigate personality quirks?

**Recent topics** updated with today's discussion.

Let me know if the priority/scope mapping feels right, or if you want anything moved around.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 86.0s
Time: model 85.2s, overhead 0.8s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Turn: i 95 o 294 t 24 cache 77.8k; p≈2.5ktok/10.2kch
Ctx: 77.9k/200.0k ACPX; est 17.3k; warn 160.0k reload 190.0k


hmm so you think we don't need an explicit text todo.md and you can just carry this in your decision state? i am not complaining, just wondering if this will work long term?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Ctx: 77.9k/200.0k ACPX; est 17.3k; warn 160.0k reload 190.0k
Turn: i 95 o 294 t 24 cache 77.8k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Ctx: 77.9k/200.0k ACPX; est 17.3k; warn 160.0k reload 190.0k
Turn: i 95 o 294 t 24 cache 77.8k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Ctx: 77.9k/200.0k ACPX; est 17.3k; warn 160.0k reload 190.0k
Turn: i 95 o 294 t 24 cache 77.8k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.5s
Time: overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Turn: i 95 o 294 t 24 cache 77.8k; p≈2.5ktok/10.1kch
Ctx: 77.9k/200.0k ACPX; est 17.3k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.6s
Time: model 5.0s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:52 CEST, 5t)
Turn: i 95 o 294 t 24 cache 77.8k; p≈2.5ktok/10.1kch
Ctx: 77.9k/200.0k ACPX; est 17.3k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 10.8s
Time: model 10.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Turn: i 95 o 294 t 24 cache 77.8k; p≈2.5ktok/10.1kch
Ctx: 77.9k/200.0k ACPX; est 19.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.0s
Time: model 15.4s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Turn: i 95 o 294 t 24 cache 77.8k; p≈2.5ktok/10.1kch
Ctx: 77.9k/200.0k ACPX; est 19.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.2s
Time: model 20.5s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Turn: i 95 o 294 t 24 cache 77.8k; p≈2.5ktok/10.1kch
Ctx: 77.9k/200.0k ACPX; est 20.0k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 23.9s
Time: model 23.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.5ktok/10.1kch
Ctx: 80.8k/200.0k ACPX; est 20.1k; warn 160.0k reload 190.0k


Fair question. I think the current setup works **for now**, but it's worth being honest about the trade-offs:

**Why structured JSON works:**
- Survives reloads better than markdown (no format drift)
- Agents (heartbeat, reflection, subagents) can read/update it programmatically
- Keeps metadata attached — priority, scope, status, timestamps
- The decision thread pattern already proved itself with `obs-features` and `safe-agent-patch-workflow`

**Where it could fail long-term:**
- You can't glance at it directly — you have to ask me or read a file
- `decision-state.json` could become a junk drawer if we don't prune completed threads
- Format rigidity means adding ad-hoc notes requires a schema decision
- If I'm down or mid-reload, you can't just open `todo.md` in an editor and see what's pending

**My honest take:** For *agent-maintained* tracking (decisions, prioritized actions with scope), the JSON approach is better — it's what the heartbeat/reflection pipeline already consumes. But if you ever want self-service visibility without asking me, a companion `todo.md` with a simplified view wouldn't hurt. They'd serve different purposes: the JSON is the source of truth, the markdown is the human dashboard.

Want me to keep it as-is, or add a lightweight markdown summary alongside it?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 24.1s
Time: model 23.2s, overhead 0.9s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.5ktok/10.1kch
Ctx: 80.8k/200.0k ACPX; est 20.1k; warn 160.0k reload 190.0k


yes let's try the decision state to test it, but please also copy this in a markdown as i can't read json well


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Ctx: 80.8k/200.0k ACPX; est 20.1k; warn 160.0k reload 190.0k
Turn: i 2.6k o 296 t 545 cache 78.2k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Ctx: 80.8k/200.0k ACPX; est 20.1k; warn 160.0k reload 190.0k
Turn: i 2.6k o 296 t 545 cache 78.2k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Ctx: 80.8k/200.0k ACPX; est 20.1k; warn 160.0k reload 190.0k
Turn: i 2.6k o 296 t 545 cache 78.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Time: overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:56 CEST, 6t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.8ktok/11.0kch
Ctx: 80.8k/200.0k ACPX; est 20.1k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.8s
Time: model 5.0s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.8ktok/11.0kch
Ctx: 80.8k/200.0k ACPX; est 22.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.0s
Time: model 10.2s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.8ktok/11.0kch
Ctx: 80.8k/200.0k ACPX; est 22.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.2s
Time: model 15.4s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.8ktok/11.0kch
Ctx: 80.8k/200.0k ACPX; est 22.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.4s
Time: model 20.6s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.8ktok/11.0kch
Ctx: 80.8k/200.0k ACPX; est 22.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 26.6s
Time: model 25.7s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 2.6k o 296 t 545 cache 78.2k; p≈2.8ktok/11.0kch
Ctx: 80.8k/200.0k ACPX; est 23.0k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 29.7s
Time: model 28.9s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 56 o 180 t 67 cache 89.0k; p≈2.8ktok/11.0kch
Ctx: 89.0k/200.0k ACPX; est 23.1k; warn 160.0k reload 190.0k


Makes total sense. Let me create a human-readable markdown dashboard that mirrors the JSON decision state + actions.Done. Created `/home/matrix-lite/state/persistent-chat/todo.md` as the human-readable dashboard. It mirrors the JSON decision state and action items in plain markdown with:

- **Checkbox action items** sorted by priority (high → medium → low/deferred)
- **Decision threads** with status indicators (🔴 active, 🟢 approved, 🔵 informational)
- **Open questions** listed under each thread
- **File facts** at the bottom

The division of labor is:
- **`decision-state.json`** — source of truth, parsed by agents/scripts
- **`todo.md`** — human dashboard, regenerated/updated when things change
- **`actions.jsonl`** — lightweight action item queue for the synthesis pipeline

When something changes, I'll keep both in sync. That work for you?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 30.0s
Time: model 28.9s, overhead 1.1s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 56 o 180 t 67 cache 89.0k; p≈2.8ktok/11.0kch
Ctx: 89.0k/200.0k ACPX; est 23.1k; warn 160.0k reload 190.0k


can you publish it?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Ctx: 89.0k/200.0k ACPX; est 23.1k; warn 160.0k reload 190.0k
Turn: i 56 o 180 t 67 cache 89.0k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Ctx: 89.0k/200.0k ACPX; est 23.1k; warn 160.0k reload 190.0k
Turn: i 56 o 180 t 67 cache 89.0k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Ctx: 89.0k/200.0k ACPX; est 23.1k; warn 160.0k reload 190.0k
Turn: i 56 o 180 t 67 cache 89.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.4s
Time: overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:58 CEST, 7t)
Turn: i 56 o 180 t 67 cache 89.0k; p≈2.6ktok/10.5kch
Ctx: 89.0k/200.0k ACPX; est 23.1k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.6s
Time: model 5.0s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Turn: i 56 o 180 t 67 cache 89.0k; p≈2.6ktok/10.5kch
Ctx: 89.0k/200.0k ACPX; est 25.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 10.8s
Time: model 10.2s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Turn: i 56 o 180 t 67 cache 89.0k; p≈2.6ktok/10.5kch
Ctx: 89.0k/200.0k ACPX; est 26.3k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 14.2s
Time: model 13.6s, overhead 0.4s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.6ktok/10.5kch
Ctx: 91.9k/200.0k ACPX; est 26.5k; warn 160.0k reload 190.0k


Sure — here it is:

# To-Do & Decision Dashboard

Generated: 2026-05-18T12:58Z
Source of truth: `decision-state.json` + `actions.jsonl` (edits should go there)

---

## Active Action Items

### High Priority
- [ ] **Design robust `apply_patch` primitive** — search-and-replace edit safe for smaller models. Motivated by GLM truncation incident; GPT-5.5 already thinks in patches. *(SmallCode-inspired)*

### Medium Priority
- [ ] **Add model profiles for subagents** — per-model config: context length, tool format, prompt style, strengths/weaknesses. Primarily for background agents. *(SmallCode-inspired)*
- [ ] **Test curated memory + prompts across models** — check vibe compatibility with DeepSeek Pro (spirals, hysterical), DeepSeek Flash (very terse), others. Can prompting mitigate quirks? *(SmallCode-inspired)*
- [ ] **Re-apply plan/general step limit → 1** — lost to May 16 failure cascade.
- [ ] **Investigate candidates pipeline gap** — no new memory candidates since May 16 packet restructuring.

### Low / Deferred
- [ ] **Design early-stop detection** — detect repetition loops / runaway output within current ACP structure. *(SmallCode-inspired, needs architecture design)*
- [ ] **Add read namespace allow rule** for `/home/matrix-lite/state/*.jsonl` and `*.json`.
- [ ] **Clean up stale memory candidates** (entries from May 11-14) — TTL-based archival or promotion review.
- [ ] **Forgiving tool call parser** — parse model output from JSON/YAML/XML/plain text, auto-repair mistakes. *Deferred — complex, relevant when switching to smaller local models.*

---

## Active Decision Threads

### 🔴 SmallCode-inspired improvements
*Reviewed SmallCode coding agent (87% benchmark with 4B model). Adopted subset of ideas.*

**Open questions:**
- How to implement early-stop detection within current ACPX/OpenCode architecture?
- Model memory/vibe testing needed before committing to switches
- Can prompt engineering mitigate DeepSeek Pro's tendency to spiral?
- How to design a robust `apply_patch` primitive across all target models?

### 🔴 Safe agent patch workflow
*Need a robust way for background agents to propose/apply patches to scripts/configs without broad self-edit permissions.*

### 🔴 Stale session & compaction policy
*Avoid reload unless context pressure or stale session requires it. Capture compaction summaries into durable continuity.*

### 🔴 Investigate session-start overhead
*Measure why live ACPX context usage is much higher than visible turn packet estimates.*

### 🔴 Search engine comparison
*DuckDuckGo: job-focused. SearXNG: best aggregation. Brave: technical/academic. Exa: richest mixed-context.*

### 🟢 Observability feature requests — **APPROVED**
*Four items agreed: event-log, per-failure injection, session-event-log exploration, helper-first.*
→ See: `observability-feature-requests-2026-05-18.md`

### 🔵 Matrix-lite memory runtime
*Canonical memory paths live under `/home/matrix-lite/state/persistent-chat`. Fast heartbeat → packets, slow heartbeat → curation.*

---

It's saved at `todo.md` in the persistent-chat state directory alongside the JSON source. Whenever we update something, I'll refresh both so the markdown stays readable.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 14.4s
Time: model 13.6s, overhead 0.8s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.6ktok/10.5kch
Ctx: 91.9k/200.0k ACPX; est 26.5k; warn 160.0k reload 190.0k


no, i meant publish on pages not here, this is fine too but let's also test if the pages work now


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Ctx: 91.9k/200.0k ACPX; est 26.5k; warn 160.0k reload 190.0k
Turn: i 2.7k o 755 t 157 cache 89.2k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Ctx: 91.9k/200.0k ACPX; est 26.5k; warn 160.0k reload 190.0k
Turn: i 2.7k o 755 t 157 cache 89.2k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Ctx: 91.9k/200.0k ACPX; est 26.5k; warn 160.0k reload 190.0k
Turn: i 2.7k o 755 t 157 cache 89.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.5s
Time: overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 14:59 CEST, 8t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 26.5k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.7s
Time: model 5.0s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 10.9s
Time: model 10.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.2s
Time: model 15.5s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.4s
Time: model 20.7s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 26.6s
Time: model 25.9s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 31.9s
Time: model 31.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 37.1s
Time: model 36.4s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 42.3s
Time: model 41.6s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 47.6s
Time: model 46.9s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 52.8s
Time: model 52.1s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 58.0s
Time: model 57.3s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 63.2s
Time: model 62.5s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:00 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 68.5s
Time: model 67.8s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 73.8s
Time: model 73.1s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 79.0s
Time: model 78.3s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 84.2s
Time: model 83.5s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 2.7k o 755 t 157 cache 89.2k; p≈2.7ktok/10.6kch
Ctx: 91.9k/200.0k ACPX; est 29.2k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 89.4s
Time: model 88.7s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.7ktok/10.6kch
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 90.0s
Time: model 89.3s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.7ktok/10.6kch
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k


Ah, you mean publish to Matrix-lite pages, not just paste it here. Let me figure out how that works.Let me publish the todo.md to Matrix-lite pages.Published successfully. Let me verify it's serving:Published successfully. The file landed at `/home/matrix-lite/pages/todo.md` — you should be able to see it at **https://pages.nvdll.org/todo.md**.

The publish itself worked (the CLI reported `ok: true` with metadata), though the public URL returns a 401 for me — that might be an auth config thing on the pages server or it might only serve to certain origins. Let me know if you can see it on your end, and if not I can check the pages server config.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 90.3s
Time: model 89.3s, overhead 0.9s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.7ktok/10.6kch
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k


great thank you. observability is great - you see this item? • [ ] **Re-apply plan/general step limit → 1** — lost to May 16 failure cascade.
this should already have been applied during the cascade, please confirm. Your step limit should be 80, 20 for curation/model hearbeat, 1 for plan/general so we see if they are unexpectedly in use


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k
Turn: i 19.8k o 111 t 252 cache 160.9k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k
Turn: i 19.8k o 111 t 252 cache 160.9k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k
Turn: i 19.8k o 111 t 252 cache 160.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.5s
Time: overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.8s
Time: model 5.0s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:01 CEST, 9t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 29.4k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.0s
Time: model 10.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.3s
Time: model 15.4s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.5s
Time: model 20.7s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 26.7s
Time: model 25.9s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 31.9s
Time: model 31.1s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 37.1s
Time: model 36.3s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 42.3s
Time: model 41.5s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.9k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 47.5s
Time: model 46.6s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 19.8k o 111 t 252 cache 160.9k; p≈2.5ktok/9.8kch
Ctx: 180.7k/200.0k ACPX; est 31.9k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 51.1s
Time: model 50.3s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 70 o 161 t 22 cache 240.5k; p≈2.5ktok/9.8kch
Ctx: 240.6k/200.0k ACPX; est 32.0k; warn 160.0k reload 190.0k


You're right — let me check the current step limits and fix that.Confirmed — the step limits are **already in place**:

| Agent | Steps |
|-------|-------|
| **build** (main) | 80 |
| **model-heartbeat** | 20 |
| **plan** | 1 |
| **general** | 1 |

That stale action item was never cleaned up after the cascade applied the change. Let me fix that now.Good catch — that was a stale item I should have cleaned up. Here's the **verified state**:

- **build**: `steps: 80` ✓
- **model-heartbeat**: `steps: 20` ✓
- **plan**: `steps: 1` ✓
- **general**: `steps: 1` ✓

The limits were already applied during the failure cascade on May 16; the action item just wasn't marked resolved. I've now:
- Marked it resolved in `actions.jsonl`
- Updated `todo.md` with a checkmark and verified values
- The markers are: if `plan` or `general` ever use more than 1 step, that's visible in the telemetry and means something unexpected is consuming them


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 51.4s
Time: model 50.3s, overhead 1.1s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 70 o 161 t 22 cache 240.5k; p≈2.5ktok/9.8kch
Ctx: 240.6k/200.0k ACPX; est 32.0k; warn 160.0k reload 190.0k


won't decision state and actions become noisy for you if we keep adding more stuff there? i guess structured jsons are better than scattered files but we need to keep track of stale or outdated items


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Ctx: 240.6k/200.0k ACPX; est 32.0k; warn 160.0k reload 190.0k
Turn: i 70 o 161 t 22 cache 240.5k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Ctx: 240.6k/200.0k ACPX; est 32.0k; warn 160.0k reload 190.0k
Turn: i 70 o 161 t 22 cache 240.5k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Ctx: 240.6k/200.0k ACPX; est 32.0k; warn 160.0k reload 190.0k
Turn: i 70 o 161 t 22 cache 240.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Time: overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 70 o 161 t 22 cache 240.5k; p≈2.6ktok/10.5kch
Ctx: 240.6k/200.0k ACPX; est 32.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.9s
Time: model 5.0s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:04 CEST, 10t)
Turn: i 70 o 161 t 22 cache 240.5k; p≈2.6ktok/10.5kch
Ctx: 240.6k/200.0k ACPX; est 32.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.1s
Time: model 10.3s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Turn: i 70 o 161 t 22 cache 240.5k; p≈2.6ktok/10.5kch
Ctx: 240.6k/200.0k ACPX; est 34.7k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.3s
Time: model 15.5s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Turn: i 70 o 161 t 22 cache 240.5k; p≈2.6ktok/10.5kch
Ctx: 240.6k/200.0k ACPX; est 34.9k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 21.3s
Time: model 20.4s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Turn: i 3.0k o 340 t 264 cache 240.6k; p≈2.6ktok/10.5kch
Ctx: 243.7k/200.0k ACPX; est 35.1k; warn 160.0k reload 190.0k


Fair question. The honest answer is: **yes, it will become noisy** if we don't actively manage it. The current system works because this session is young — but let me be upfront about the failure modes:

**What I've already seen go stale:**
- That "Re-apply step limit" item sat resolved for 2 days without being cleared
- The "search-engine-comparison" decision thread is basically settled trivia, not an active decision
- Old resolved actions accumulate in `actions.jsonl` with no cleanup

**What should happen (but doesn't yet automatically):**

| Problem | Fix needed |
|---------|-----------|
| Resolved actions accumulate | `prune-state` helper exists but needs to be called regularly — should be part of the heartbeat |
| Decision threads become historical notes | Threads that are "settled knowledge" (not open decisions) should migrate to `curated-memory.md` and be removed from decision state |
| No TTL for stale items | Could tag items with a review-by date; heartbeat flags anything past it |
| Manual cleanup burden on me | I can do it, but if I forget, noise builds up |

**The heartbeat already has `prune-state` access.** The model-heartbeat agent has permission to run `persistent-chat-memory prune-state *` — that's the tool for this. But I don't think the heartbeat currently calls it proactively.

Want me to add "periodic stale-item pruning" to the heartbeat's responsibilities in the decision state? That way old resolved actions and settled threads get archived automatically on each heartbeat cycle rather than requiring me to notice them.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 21.6s
Time: model 20.4s, overhead 1.1s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Turn: i 3.0k o 340 t 264 cache 240.6k; p≈2.6ktok/10.5kch
Ctx: 243.7k/200.0k ACPX; est 35.1k; warn 160.0k reload 190.0k


1. step limit sat for 2 days because we were down for most of them. but i agree not all of those todos are immediate and for some we might get back to them in a week or two.
2. we need a place for settled trivia too. search engine facts kinda belong in long term memory, not sure where it fits best - other website trivia like our immoscout experience, whatever other helpful details we discover, etc. curated memory is probably fine for now
pruning needs to be done by model heartbeat, you or the synthesis agent - we can't trust this to scripts, maybe to just flag items for review and rewrite meta to 'possibly stale, needs review' or something


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Ctx: 243.7k/200.0k ACPX; est 35.1k; warn 160.0k reload 190.0k
Turn: i 3.0k o 340 t 264 cache 240.6k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Ctx: 243.7k/200.0k ACPX; est 35.1k; warn 160.0k reload 190.0k
Turn: i 3.0k o 340 t 264 cache 240.6k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Ctx: 243.7k/200.0k ACPX; est 35.1k; warn 160.0k reload 190.0k
Turn: i 3.0k o 340 t 264 cache 240.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Time: overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Turn: i 3.0k o 340 t 264 cache 240.6k; p≈2.7ktok/10.8kch
Ctx: 243.7k/200.0k ACPX; est 35.1k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.9s
Time: model 5.0s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:10 CEST, 11t)
Turn: i 3.0k o 340 t 264 cache 240.6k; p≈2.7ktok/10.8kch
Ctx: 243.7k/200.0k ACPX; est 35.1k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 11.1s
Time: model 10.2s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Turn: i 3.0k o 340 t 264 cache 240.6k; p≈2.7ktok/10.8kch
Ctx: 243.7k/200.0k ACPX; est 37.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.4s
Time: model 15.5s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Turn: i 3.0k o 340 t 264 cache 240.6k; p≈2.7ktok/10.8kch
Ctx: 243.7k/200.0k ACPX; est 37.9k; warn 160.0k reload 190.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 20.8s
Time: model 19.9s, overhead 0.6s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.7ktok/10.8kch
Ctx: 246.8k/200.0k ACPX; est 38.0k; warn 160.0k reload 190.0k


Makes sense. I agree with all of that:

**On timing:** The step limit item sat because we were down — fair. The point stands that some items are "someday" (forgiving parser, early-stop detection) and that's fine. The todo dashboard shows priority, so it's clear what's deferred vs active.

**On settled trivia:** Search engine comparison, Immoscout workflow, etc. — **curated memory is the right place.** The decision state should only hold things that are genuinely unresolved decisions. I can migrate settled threads out of decision state and into curated memory as part of heartbeat cleanup. I'll do the search-engine one right now as a test.

**On pruning workflow:** Agreed — flag-don't-delete is the right model. The heartbeat/synthesis agent can check items and set `"status": "possibly-stale"` with a note, rather than silently deleting. That way you or I review flagged items when there's time. No script autonomy needed.

Want me to move the search-engine comparison thread out of decision state into curated memory now as a proof of concept, and add the "flag for review" workflow to the heartbeat's responsibilities in the decision state?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 21.0s
Time: model 19.9s, overhead 1.1s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.7ktok/10.8kch
Ctx: 246.8k/200.0k ACPX; est 38.0k; warn 160.0k reload 190.0k


yes please try it, but make sure your edits are not going to get overwritten by scripts.
we might add pruning helpers later that will flag the possibly stale items, but for now let's give it to curation/synthesis agents, you can also do it yourself if you see stale items


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Ctx: 246.8k/200.0k ACPX; est 38.0k; warn 160.0k reload 190.0k
Turn: i 3.2k o 249 t 388 cache 243.6k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Ctx: 246.8k/200.0k ACPX; est 38.0k; warn 160.0k reload 190.0k
Turn: i 3.2k o 249 t 388 cache 243.6k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.3s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Ctx: 246.8k/200.0k ACPX; est 38.0k; warn 160.0k reload 190.0k
Turn: i 3.2k o 249 t 388 cache 243.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 0.5s
Time: overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 38.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 5.7s
Time: model 5.0s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:18 CEST, 12t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 38.0k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 10.9s
Time: model 10.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:21 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.7k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 16.2s
Time: model 15.5s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:21 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.7k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 21.5s
Time: model 20.8s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:21 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.7k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 26.7s
Time: model 26.0s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:22 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 31.9s
Time: model 31.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:22 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 37.2s
Time: model 36.5s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:22 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 42.4s
Time: model 41.7s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:22 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 47.6s
Time: model 46.9s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:22 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 52.9s
Time: model 52.2s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:22 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.8k; warn 160.0k reload 190.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 58.1s
Time: model 57.4s, overhead 0.5s
Backend: ses_1c4eb4208ffe7u72UUkCBd67PV (since 05-18 15:22 CEST, 13t)
Turn: i 3.2k o 249 t 388 cache 243.6k; p≈2.6ktok/10.6kch
Ctx: 246.8k/200.0k ACPX; est 40.8k; warn 160.0k reload 190.0k