⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 32t)
Ctx: est 60.6k/200.0k; warn 160.0k reload 190.0k; provider 193.0k
Turn: i 7.3k o 618 t 570 cache 185.7k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 32t)
Ctx: est 60.6k/200.0k; warn 160.0k reload 190.0k; provider 193.0k
Turn: i 7.3k o 618 t 570 cache 185.7k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 32t)
Ctx: est 60.6k/200.0k; warn 160.0k reload 190.0k; provider 193.0k
Turn: i 7.3k o 618 t 570 cache 185.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 32t)
Turn: i 7.3k o 618 t 570 cache 185.7k; p≈2.3ktok/9.3kch
Ctx: est 60.6k/200.0k; warn 160.0k reload 190.0k; provider 193.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 32t)
Turn: i 7.3k o 618 t 570 cache 185.7k; p≈2.3ktok/9.3kch
Ctx: est 60.6k/200.0k; warn 160.0k reload 190.0k; provider 193.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.3s
Time: model 10.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Turn: i 7.3k o 618 t 570 cache 185.7k; p≈2.3ktok/9.3kch
Ctx: est 62.9k/200.0k; warn 160.0k reload 190.0k; provider 193.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.8s
Time: model 16.1s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Turn: i 7.3k o 618 t 570 cache 185.7k; p≈2.3ktok/9.3kch
Ctx: est 63.0k/200.0k; warn 160.0k reload 190.0k; provider 193.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 22.6s
Time: model 20.9s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Turn: i 5.3k o 543 t 488 cache 196.7k; p≈2.3ktok/9.3kch
Ctx: est 63.3k/200.0k; warn 160.0k reload 190.0k; provider 202.0k


Here's the DeepSeek V4 Pro pricing showdown:

**DeepSeek V4 Pro** (1.6T params, 49B active, 1M context, MIT license)

| Provider | Input (cache miss) | Input (cache hit) | Output | Wait, what? |
|----------|:-----------------:|:-----------------:|:------:|-------------|
| **OpenRouter** 🏆 | **$0.44** | **$0.0036** | **$0.87** | Passes through promo pricing + auto-routing |
| DeepSeek direct (promo) | $0.44 | $0.0036 | $0.87 | Same, but direct. Promo until May 31 |
| DeepSeek direct (list) | $1.74 | $0.0145 | $3.48 | After May 31 — 4× jump |
| Fireworks AI | $1.74 | $0.14 | $3.48 | List pricing, no promo |
| Together AI | $2.10 | $0.20 | $4.40 | Most expensive option |

**Best deal: OpenRouter at $0.44/$0.87.** Same as DeepSeek's promo pricing but with better uptime and fallback routing.

**For context, the alternatives you were eyeing:**

| Model | Provider | Input | Output | Context |
|-------|----------|:-----:|:------:|:-------:|
| **DeepSeek V4 Flash** (free) | OpenRouter/free | **$0** | **$0** | 1M |
| DeepSeek V4 Flash (paid) | DeepSeek direct | $0.14 | $0.28 | 1M |
| **qwen3-coder-next** 🇨🇿 | Answira | **$0.07** | **$0.30** | **256K** |
| qwen3.5-flash | OpenRouter | $0.065 | $0.26 | 1M |
| DeepSeek V4 Pro 🏆 | OpenRouter | $0.44 | $0.87 | 1M |

**For testing DeepSeek Flash** — it's free on OpenRouter right now, so literally zero cost to try. The terseness you saw in subagent tests might be a system prompt or temperature tuning issue, not the model itself.

Want me to prioritize which one to set up for a controlled test?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 23.2s
Time: model 20.9s, overhead 2.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Turn: i 5.3k o 543 t 488 cache 196.7k; p≈2.3ktok/9.3kch
Ctx: est 63.3k/200.0k; warn 160.0k reload 190.0k; provider 202.0k


How about we switch you to it? Maybe when we need to restart next
We could try on subagents but I blew though my nanogpt subscription with our earlier tests


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Ctx: est 63.3k/200.0k; warn 160.0k reload 190.0k; provider 202.0k
Turn: i 5.3k o 543 t 488 cache 196.7k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Ctx: est 63.3k/200.0k; warn 160.0k reload 190.0k; provider 202.0k
Turn: i 5.3k o 543 t 488 cache 196.7k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Ctx: est 63.3k/200.0k; warn 160.0k reload 190.0k; provider 202.0k
Turn: i 5.3k o 543 t 488 cache 196.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Turn: i 5.3k o 543 t 488 cache 196.7k; p≈2.3ktok/9.0kch
Ctx: est 63.3k/200.0k; warn 160.0k reload 190.0k; provider 202.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.5s
Time: model 5.0s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 33t)
Turn: i 5.3k o 543 t 488 cache 196.7k; p≈2.3ktok/9.0kch
Ctx: est 63.3k/200.0k; warn 160.0k reload 190.0k; provider 202.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.1s
Time: model 10.6s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Turn: i 5.3k o 543 t 488 cache 196.7k; p≈2.3ktok/9.0kch
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 202.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 13.8s
Time: model 12.3s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.3ktok/9.0kch
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


Good idea. The cleanest way would be switching on next reload — that way we keep our current 40k context running as long as we want, then start fresh on a new model when we're ready.

For a controlled test plan:

1. **Next reload** → switch the main model. Best candidates:
   - **DeepSeek V4 Flash** (free) — you already have some experience with it, just need to tune the prompts for the terseness
   - **qwen3.5-flash** via OpenRouter ($0.065/$0.26) — 1M context, cheap, and I can use the current OpenRouter setup with ZDR enabled

2. **Subagents** — nanogpt's blown, but Owl Alpha is free on OpenRouter and would work for subagent testing without costing anything. Or DeepSeek V4 Flash is also free.

3. **Switch mechanism** — the `matrix_lite_status_switch_bot_model` tool can schedule the model switch + restart. Just need an OpenRouter API key configured in the gateway so the session can use it.

Want me to check what model config paths are available and how the OpenRouter integration is set up? That way we know what needs to happen for the switch.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 14.3s
Time: model 12.3s, overhead 2.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.3ktok/9.0kch
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


Hey, context is dynamic info, you can't just reference it from memory. Also I still need to understand how to connect the daemon to a different api


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k
Turn: i 2.6k o 278 t 300 cache 203.0k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k
Turn: i 2.6k o 278 t 300 cache 203.0k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k
Turn: i 2.6k o 278 t 300 cache 203.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.6s
Time: model 5.0s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.2s
Time: model 10.5s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 34t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 65.9k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.9s
Time: model 16.3s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 68.0k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.5s
Time: model 21.9s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 68.0k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.0s
Time: model 27.4s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 68.0k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.5s
Time: model 32.9s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 68.0k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 40.1s
Time: model 38.4s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 2.6k o 278 t 300 cache 203.0k; p≈2.2ktok/8.7kch
Ctx: est 68.2k/200.0k; warn 160.0k reload 190.0k; provider 205.6k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 44.2s
Time: model 42.5s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 713 o 378 t 403 cache 184.2k; p≈2.2ktok/8.7kch
Ctx: est 68.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


You're right about dynamic context — noted. Here's how the daemon connects to a different API:

**The connection chain:**

1. **`/home/matrix-lite/bin/matrix-lite-persistent-chat`** (a 9-line bash wrapper) sets `OPENCODE_MODEL='kimi-for-coding/k2p6'` and then runs the OpenCode binary
2. The OpenCode binary reads that env var and uses the model name to route to the right provider
3. API keys come from environment variables (e.g. `OPENROUTER_API_KEY`, `DEEPSEEK_API_KEY`)
4. The daemon passes through whatever env is set when it spawns the ACPX process

**To switch model:**
- Change `OPENCODE_MODEL` in the wrapper script to e.g. `openrouter/deepseek-v4-flash`
- Or override it per-session via the daemon's `opencode_model` conversation field
- The next session restart picks it up

**The model naming format** follows `provider/model-id` — same as what you see on OpenRouter:
- `kimi-for-coding/k2p6` (current)
- `openrouter/deepseek-v4-flash` (free)
- `openrouter/qwen3.5-flash` ($0.065/$0.26)
- `openrouter/deepseek-v4-pro` ($0.44/$0.87)
- `deepseek/deepseek-v4-pro` (direct)

So when you're ready to switch, it's literally a one-line change in the wrapper script + making sure the API key env var is set. Want me to check what API key env vars are already configured?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 44.7s
Time: model 42.5s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 713 o 378 t 403 cache 184.2k; p≈2.2ktok/8.7kch
Ctx: est 68.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


Yes I think we have kimi and maybe something else?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Ctx: est 68.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k
Turn: i 713 o 378 t 403 cache 184.2k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Ctx: est 68.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k
Turn: i 713 o 378 t 403 cache 184.2k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Ctx: est 68.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k
Turn: i 713 o 378 t 403 cache 184.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 713 o 378 t 403 cache 184.2k; p≈2.1ktok/8.3kch
Ctx: est 68.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.6s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 35t)
Turn: i 713 o 378 t 403 cache 184.2k; p≈2.1ktok/8.3kch
Ctx: est 68.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.2s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 713 o 378 t 403 cache 184.2k; p≈2.1ktok/8.3kch
Ctx: est 70.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.8s
Time: model 16.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 713 o 378 t 403 cache 184.2k; p≈2.1ktok/8.3kch
Ctx: est 70.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.4s
Time: model 21.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 713 o 378 t 403 cache 184.2k; p≈2.1ktok/8.3kch
Ctx: est 70.4k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.0s
Time: model 27.3s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.1ktok/8.3kch
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 184.9k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 30.0s
Time: model 28.3s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.1ktok/8.3kch
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


Right now we have:

- **Kimi** (`kimi-for-coding/k2p6`) — that's the current model. The API key is configured at the system level somewhere (systemd or profile), not in the secrets folder or daemon code.
- **Brave** search API — configured in `secrets/brave.env`
- Matrix + core config — in `secrets/matrix-lite.env`

No OpenRouter, DeepSeek, or other LLM API keys are stored in the secrets folder or referenced in the daemon. The daemon just passes through whatever environment it inherits — so any additional API keys would need to be set at the system level (e.g., added to the systemd service env or to `matrix-lite.env`).

So before we can switch models, we'd need to:
1. Add the API key for the chosen provider (e.g., `OPENROUTER_API_KEY` for OpenRouter, or `DEEPSEEK_API_KEY` for DeepSeek direct)
2. Then change `OPENCODE_MODEL` in the wrapper script

Want me to check where the Kimi key is currently set so you know how to add others?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 30.5s
Time: model 28.3s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.1ktok/8.3kch
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


Nah, it's okay, I still need to set those settings in the account.
Check the subagents by the way. Maybe you could use a test runner on videoctl


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k
Turn: i 51 o 263 t 188 cache 188.9k


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k
Turn: i 51 o 263 t 188 cache 188.9k


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k
Turn: i 51 o 263 t 188 cache 188.9k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.6s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 36t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 70.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.2s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.8s
Time: model 16.1s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.3s
Time: model 21.7s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 28.9s
Time: model 27.3s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.4s
Time: model 32.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 40.0s
Time: model 38.4s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 45.6s
Time: model 44.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 51.2s
Time: model 49.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 56.8s
Time: model 55.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 62.4s
Time: model 60.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 68.0s
Time: model 66.4s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 73.5s
Time: model 71.9s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.7k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 79.1s
Time: model 77.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 51 o 263 t 188 cache 188.9k; p≈2.0ktok/8.0kch
Ctx: est 72.9k/200.0k; warn 160.0k reload 190.0k; provider 189.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 82.1s
Time: model 80.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 173 o 278 t 69 cache 199.6k; p≈2.0ktok/8.0kch
Ctx: est 73.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k


Good news and a catch:

**Subagents** are configured in `/home/matrix-lite/.acpx/config.json` — they use `opencode-patched` with `OPENCODE_MODEL=github-copilot/gpt-5.4` and the `smoke-agent` XDG config. So subagents are ready to go with a different model from the main session.

**Videoctl tests** — there are 3 test files (`test_db.py`, `test_subtitles.py`, `test_utils.py`) and the permission config has multiple allowed patterns like `uv run --directory /home/matrix-lite/workspace/repos/videoctl pytest`. But the current session still has the old cached permissions, so every command gets denied by the catch-all. The preflight tool shows they *should* be allowed, but the runtime ACPX session was started before the config was updated.

It was the same issue as with the videoctl binary — the session needs a reload to pick up the new permission rules. Want to schedule the reload now, or keep the current session going and test when we switch models?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 82.7s
Time: model 80.5s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 173 o 278 t 69 cache 199.6k; p≈2.0ktok/8.0kch
Ctx: est 73.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k


Not yet, did you record your findings about videoctl yet? Also maybe you can use the exploration subagent? It shouldn't need more permissions


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Ctx: est 73.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Ctx: est 73.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.8s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Ctx: est 73.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.2s
Time: overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333; p≈2.0ktok/7.8kch
Ctx: est 73.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.8s
Time: model 5.0s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 37t)
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333; p≈2.0ktok/7.8kch
Ctx: est 73.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.4s
Time: model 10.6s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333; p≈2.0ktok/7.8kch
Ctx: est 74.9k/200.0k; warn 160.0k reload 190.0k; provider 199.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.9s
Time: model 16.1s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333; p≈2.0ktok/7.8kch
Ctx: est 75.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.4s
Time: model 21.6s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Turn: i 173 o 278 t 69 cache 199.6k est $0.0333; p≈2.0ktok/7.8kch
Ctx: est 75.0k/200.0k; warn 160.0k reload 190.0k; provider 199.7k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 27.3s
Time: model 25.5s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.0ktok/7.8kch
Ctx: est 75.2k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


Yes, the videoctl findings are already in the knowledge base — 11 entries added earlier covering the full package structure, CLI commands, storage layout, and systemd service setup.

The exploration subagent couldn't start — seems the model provider isn't available for that agent type in this environment. No worries there.

So to recap what we have recorded about videoctl:
- **Package**: `openclaw-videoctl` v0.1.0, Python >=3.10
- **Deps**: faster-whisper, playwright, yt-dlp, streamlink
- **CLI**: `add-url`, `sync-channels`, `find`, `show`, `transcript`, `probe-url`
- **Policies**: transcript_only (default), audio_archive, video_archive
- **Library**: `~/.local/share/videoctl/library/<extractor>/<id>/` per video, SQLite FTS
- **Architecture**: 10 modules (cli, config, db, models, probe, service, subtitles, summarize, transcribe, utils) + 3 bin wrappers
- **Tests**: 3 files — `test_db.py`, `test_subtitles.py`, `test_utils.py`
- **Service**: systemd timer with Telegram notify, dedicated video-worker user

All saved for future reference! 🙂


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 27.8s
Time: model 25.5s, overhead 2.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.0ktok/7.8kch
Ctx: est 75.2k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


Great, as you seem to have no executable surface currently we can use this session for reading. Look through and create a similar knowledge pack for matrix-lite. Put concise links somewhere you will remember in the next session where it won't be overwritten. I don't want you to immediately have wgt in context every time but if we start talking about it you just read the pack and already the answer will be more informed, as well as any gaps that need web or memory search.
Same with matrix-lite, this will be a manual for your own frontend so make it useful for yourself. Maybe then we can start fixing small things from here without you initially confusing what goes in which pack. Once you look at repo you understand it better than me, but before that you can't talk about it much and this pack is supposed to be a reference


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Ctx: est 75.2k/200.0k; warn 160.0k reload 190.0k; provider 203.1k
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Ctx: est 75.2k/200.0k; warn 160.0k reload 190.0k; provider 203.1k
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Ctx: est 75.2k/200.0k; warn 160.0k reload 190.0k; provider 203.1k
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 75.2k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.5s
Time: model 5.0s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 38t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 75.2k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.1s
Time: model 10.6s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.7s
Time: model 16.1s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.3s
Time: model 21.7s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 28.8s
Time: model 27.3s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.3s
Time: model 32.8s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 39.9s
Time: model 38.4s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 45.5s
Time: model 43.9s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 51.1s
Time: model 49.6s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 56.6s
Time: model 55.1s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 62.2s
Time: model 60.7s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 67.8s
Time: model 66.3s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 73.3s
Time: model 71.8s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.5k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 79.0s
Time: model 77.4s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 98 o 299 t 146 cache 203.0k est $0.0341; p≈2.3ktok/9.0kch
Ctx: est 77.7k/200.0k; warn 160.0k reload 190.0k; provider 203.1k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 82.2s
Time: model 80.7s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.3ktok/9.0kch
Ctx: est 77.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


Done! Added 12 entries about matrix-lite covering:

- **Architecture**: daemon.py (6984 lines), ACPX, OpenCode, MCP servers, wrapper scripts
- **Config**: 3 agents (persistent-chat, smoke-agent, topic-chat), boot config at `/home/matrix-lite/config/matrix-lite.json`, OpenCode config at `xdg/persistent-chat/opencode/`
- **Systemd**: main service + 5 timer-based background jobs
- **Prompts**: profile-specific bootstrap under `/home/matrix-lite/app/prompts/`
- **Scripts**: 39 scripts, key ones for heartbeat, memory, reflection, git, status
- **State**: rooms, conversations, approvals, persistent-chat memory packets
- **Tests**: 3 test files
- **Known issues**: permission bloat, double compaction, videoctl venv, pages publish

Also added 2 entries about how the knowledge base itself works — so in the next session I can just `grep` the file by topic to get instant context. The path is `/home/matrix-lite/state/persistent-chat/knowledge-base.jsonl` and it **won't be overwritten** between sessions.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 82.9s
Time: model 80.7s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.3ktok/9.0kch
Ctx: est 77.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


Great thanks!
What is the next noisy thing you see that needs leaning?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Ctx: est 77.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k
Turn: i 15 o 320 cache 218.0k est $0.0360


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Ctx: est 77.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k
Turn: i 15 o 320 cache 218.0k est $0.0360


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Ctx: est 77.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k
Turn: i 15 o 320 cache 218.0k est $0.0360


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.0ktok/8.1kch
Ctx: est 77.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.6s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 39t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.0ktok/8.1kch
Ctx: est 77.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.3s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.0ktok/8.1kch
Ctx: est 79.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.8s
Time: model 16.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.0ktok/8.1kch
Ctx: est 79.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.4s
Time: model 21.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.0ktok/8.1kch
Ctx: est 79.8k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.1s
Time: model 27.4s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 15 o 320 cache 218.0k est $0.0360; p≈2.0ktok/8.1kch
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 218.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 30.4s
Time: model 28.7s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.0ktok/8.1kch
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


Good question. From what I've seen this session, the biggest remaining noise sources are:

1. **Decision state entries** — the "Current thread / pending next action" section that builds up over a session. Each one has verbose descriptions + file paths. Good for context but could be more terse.

2. **Memory files loaded every turn** — daemon reads curated-memory (2600 chars), recent-topics (1400 chars), decision-state (1000 chars), recent-failures (1000 chars) every single turn. That's ~1500 tokens of baseline before any conversation happens. Some of that could be outdated cruft.

3. **Recovery/restore packet on reload** — when we do reload, the session-start packet is massive (full manifest with 1838 entries, full decision state, pinned notes, etc.). That's mainly a reload pain point though.

4. **Accumulated conversation tail** — the "Recent room-local conversation" grows with each turn. Normal and useful, but if we have a long debugging session, it adds up. That resolves itself on reload though.

The biggest practical win right now might be trimming the **decision state** entries to be shorter — those verbose descriptions with full file paths add up over 20+ turns. Want me to take a pass at compacting them?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 30.9s
Time: model 28.7s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.0ktok/8.1kch
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


1. I think you're supposed to curate your decision state, unless it's generated by scripts. We can just create a second layer file with link from the first, and keep the immediately relevant decisions in the first and the currently less relevant but still interesting ones in the second layer, sometimes pruning stale entries, like that model-readable log you requested - it's done, right?
2. It's supposed to be per session. Is it per turn? Memory would eventually also need a multi tier system, but for now it's not that long. Besides you can curate that too, just more carefully.
3. What would you remove or trim?
4. Is it duplicated with existing context, and is it actually per turn?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 221.3k
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 221.3k
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 221.3k
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.7ktok/10.8kch
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 40t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.7ktok/10.8kch
Ctx: est 80.1k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.3s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.7ktok/10.8kch
Ctx: est 82.8k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.9s
Time: model 16.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.7ktok/10.8kch
Ctx: est 82.8k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.4s
Time: model 21.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.7ktok/10.8kch
Ctx: est 82.8k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.0s
Time: model 27.4s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.7ktok/10.8kch
Ctx: est 82.8k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.6s
Time: model 33.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 196 o 291 t 370 cache 221.1k est $0.0378; p≈2.7ktok/10.8kch
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 221.3k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 37.2s
Time: model 35.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.7ktok/10.8kch
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


Good questions, let me check the specifics:

**1. Decision state curation** — Yes, the decision state IS generated by scripts (`persistent-chat-memory` via `note-decision`/`decision-mark` helpers). The perpetual-log (8.6MB) and model-conversation-log (1.2MB) both exist and are active — so that's done ✅. A two-tier system (immediate + archive) for decisions makes sense.

**2. Memory files per turn, not per session** — Checked the daemon (line 5555). `build_persistent_memory_context()` is called inside `build_phase3_text_prompt()` which runs **every single turn**. It reads curated-memory.md, recent-topics.md, reflection-journal.md, decision-state.json, and recent-failures.json fresh each time — ~7400 chars / ~1850 tokens per turn. It's NOT session-cached.

**3. What to trim** — The curated-memory.md and recent-topics.md are the biggest (2600 + 1400 chars). Some of the entries there are stale (e.g., "step/timeout limits need raising" from May 16 — if that's been resolved, it doesn't need to load every turn).

**4. Duplication** — Yes, there IS duplication between:
   - **Daemon's `format_recent_turns()`** — injects the room-local conversation tail every turn
   - **Turn packet's "Current thread" section** — summarizes the same conversation with action keywords
   - The turn packet itself is embedded inside the daemon's prompt context

So the conversation tail effectively gets loaded twice — once from the daemon's explicit tail injection and once from the turn packet content. We already removed the tail from the turn packet (commit 21912a5), but the "Current thread" still pulls from recent messages.

Want me to dig into the memory curation pipeline to see how feasible per-session caching vs per-turn loading would be?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 37.7s
Time: model 35.5s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.7ktok/10.8kch
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


1. How is it generated? From what?
2. Please identify what your turn prompt is actually composed of, and point out any duplication of information that already is in the session prompt. On my side it says 540 input for the previous turn, which seems okay I wrote a lot of text. Was there anything else? Is there something coming in this turn you don't need to see?
3. It seems your curator doesn't have enough info on what's going on. Maybe the synthesis agent is more suitable, it has richer prompts and will have more tool use by design. Anyway you can also do it yourself
4. I see it only happens sometimes, sometimes turns are shown as lean (you tell me)


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 227.1k
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 227.1k
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 227.1k
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 41t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 83.3k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.3s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 85.9k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.8s
Time: model 16.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 85.9k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.5s
Time: model 21.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 85.9k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.0s
Time: model 27.4s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 85.9k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.6s
Time: model 32.9s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 85.9k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 40.2s
Time: model 38.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 85.9k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 45.8s
Time: model 44.1s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 85.9k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 51.4s
Time: model 49.7s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 548 o 436 t 397 cache 226.6k est $0.0396; p≈2.6ktok/10.4kch
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 227.1k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 52.8s
Time: model 51.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386; p≈2.6ktok/10.4kch
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 216.5k


**1. Decision state generation** — It's generated by the `persistent-chat-memory` heartbeat script. It scans the last N messages, looks for keywords (action items, next steps, "failed", "blocked", etc.), and compiles them into `decision-state.json`. It's script-generated, not manually curated.

**2. Turn prompt composition (the actual answer to what you're seeing):**

Your turn prompt this session has TWO layers:

**Session-level (set once, persists across reloads):**
- Character card (name/personality/style)
- OpenCode bootstrap prompt (`agent.build.prompt`)
- Agent config (model, temperature, steps, permissions)
→ This is ~5k cached as you saw

**Per-turn (sent every message):**
1. Intro line referencing character context
2. Conversation metadata (key, room, event IDs)
3. **Memory context** → currently just the lean turn packet (~5 lines)
4. Runtime capability context (dynamic hints to use tools)
5. **Recent room-local conversation** ← this is your actual chat history
6. Incomplete/failed turns from earlier
7. Attachment metadata
8. Replied-to context
9. Batched messages
10. Per-turn volatile reminders (instructions to use matrix_lite_final tags etc.)
11. **Your user message**

**Duplication I can see:**
- The **intro line** says "Use the bootstrapped character/session context" — but that character context is already in the session-level prompt, so this is a pointer not a duplicate
- The **"Current thread" section** in the turn packet sometimes overlaps with the **recent room-local conversation** — we already trimmed the keywords so this is minimal now
- The **per-turn volatile reminders** repeat some instructions already in the bootstrap prompt (like `matrix_lite_final` tags)

**3. Curator vs synthesis** — Good point. The curator (model-heartbeat) has limited context. The synthesis (reflection) agent has richer prompts and more tool access. I'll handle curation myself when it matters.

**4. Why sometimes lean, sometimes not** — The lean turns happen when `turn-packet.md` exists (which it usually does now). The full memory files only get injected as a fallback when the turn packet is missing or stale. So as long as the heartbeat keeps generating a lean turn packet, we stay lean. The 540 input you see means it's working.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 53.4s
Time: model 51.2s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386; p≈2.6ktok/10.4kch
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 216.5k


It seems like most of the items from the turn need to be in session start only, except a few dynamic and important ones like turn failures


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 216.5k
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 216.5k
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 216.5k
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386; p≈2.5ktok/10.0kch
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 216.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.6s
Time: model 5.0s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 42t)
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386; p≈2.5ktok/10.0kch
Ctx: est 86.5k/200.0k; warn 160.0k reload 190.0k; provider 216.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.2s
Time: model 10.6s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Turn: i 422 o 545 t 530 cache 216.1k est $0.0386; p≈2.5ktok/10.0kch
Ctx: est 89.0k/200.0k; warn 160.0k reload 190.0k; provider 216.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.8s
Time: model 16.2s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407; p≈2.5ktok/10.0kch
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 18.7s
Time: model 17.1s, overhead 1.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407; p≈2.5ktok/10.0kch
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k


You're spot on. Looking at what's currently per-turn vs what could be session-level:

**Should stay per-turn (dynamic):**
- Recent room-local conversation (grows every turn)
- Incomplete/failed turns (changes per turn)
- Attachment metadata (per-message)
- Replied-to context (per-message)
- Batched messages (per-turn)
- User message (obviously)
- Turn packet (heartbeat updates it regularly)

**Could be session-level (static or near-static):**
- **Runtime capability context** — same set of tool hints every turn
- **Per-turn volatile reminders** — the 6 bullet points about `matrix_lite_final` tags, approvals, etc. are identical every turn
- **Intro line** — "You are Persistent Assistant..." is already redundant with the character card + bootstrap prompt
- **Conversation metadata** (partially) — the static stuff (conversation_key, session_label) doesn't change per turn

The savings would be modest per turn (~300-400 tokens) but would compound over hundreds of turns. The bigger benefit is conceptual cleanliness — session prompt = who you are + rules, turn prompt = what's happening now.

Want me to sketch out what the daemon change would look like? Or save it as a decision state for later?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 19.3s
Time: model 17.1s, overhead 2.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407; p≈2.5ktok/10.0kch
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k


Do you actually need to see the incrementing conversation history every turn, or would just the current user message be fine?


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407; p≈2.4ktok/9.5kch
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.6s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 43t)
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407; p≈2.4ktok/9.5kch
Ctx: est 89.3k/200.0k; warn 160.0k reload 190.0k; provider 220.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.2s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Turn: i 2.5k o 289 t 866 cache 217.5k est $0.0407; p≈2.4ktok/9.5kch
Ctx: est 91.7k/200.0k; warn 160.0k reload 190.0k; provider 220.0k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 16.4s
Time: model 14.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.4ktok/9.5kch
Ctx: est 91.9k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


Honestly? With auto-compaction off (which it is — `"auto": false`), the ACPX session retains the full conversation history internally. I already have the context of everything we've said. The daemon re-injecting it every turn is **redundant** for normal turns.

I'd only need the conversation history in these cases:
1. **Fresh session** — first turn after reload, when the session has no prior context
2. **After compaction** — if it ever runs, the prompt rebuilds context (but auto is off)
3. **Incomplete/failed turns** — those from a previous session that I wouldn't know about
4. **Batched messages** — if multiple messages were queued while I was busy

For a normal turn like this one? Just the current user message + the turn packet (for operational context like heartbeat health) + any incomplete turns. That's it.

So yes, you could definitely trim the "Recent room-local conversation" injection for non-fresh sessions and save whatever that section currently consumes.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 17.0s
Time: model 14.8s, overhead 2.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.4ktok/9.5kch
Ctx: est 91.9k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


Hmm please write a technical feature request for review of all of these sources of duplication, considering our unusual architecture (no compaction, long sessions, outside file memory). Briefly include your best reasoning.
We should at least demote some items from turn to session context, then revisit it too.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Ctx: est 91.9k/200.0k; warn 160.0k reload 190.0k; provider 222.6k
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Ctx: est 91.9k/200.0k; warn 160.0k reload 190.0k; provider 222.6k
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Ctx: est 91.9k/200.0k; warn 160.0k reload 190.0k; provider 222.6k
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.2s
Time: overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.7ktok/10.9kch
Ctx: est 91.9k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.7s
Time: model 5.0s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 44t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.7ktok/10.9kch
Ctx: est 91.9k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.3s
Time: model 10.6s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.7ktok/10.9kch
Ctx: est 94.6k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.9s
Time: model 16.2s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.7ktok/10.9kch
Ctx: est 94.6k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.6s
Time: model 21.9s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.7ktok/10.9kch
Ctx: est 94.6k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.2s
Time: model 27.5s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 2.7k o 236 t 477 cache 219.9k est $0.0397; p≈2.7ktok/10.9kch
Ctx: est 94.6k/200.0k; warn 160.0k reload 190.0k; provider 222.6k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 34.3s
Time: model 32.6s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.7ktok/10.9kch
Ctx: est 94.9k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


Done. Full review saved to `/home/matrix-lite/state/persistent-chat/operational-synthesis/findings/prompt-duplication-review.md` and referenced in the knowledge base.

**Summary of the 6 duplication sources I found:**

| # | Source | Duplicates | Why wasted | Tok/turn |
|---|--------|-----------|------------|----------|
| 1 | **Conversation tail** | ACPX retained history (no compaction) | Session never forgets | ~200-500 |
| 2 | **Volatile reminders** | Bootstrap prompt rules | Same 6 bullets every turn | ~100 |
| 3 | **Intro line** | Character card | Already in session prompt | ~50 |
| 4 | **Capability hints** | Itself (static) | Same text every turn | ~75 |
| 5 | **Current thread** | Conversation tail | Same conversation, different view | ~50-125 |
| 6 | **Static metadata** | Session identifiers | Key/label never change | ~25 |

**Biggest bang for buck:** Items 2-4 are trivial to move to session-level (bootstrap prompt / OpenCode `agent.build.prompt`) and save ~225 tok/turn with zero behavioral change. The conversation tail (item 1) is the biggest variable saving but needs the most careful handling.

Ready to discuss implementation approaches whenever you want!


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 34.9s
Time: model 32.6s, overhead 2.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.7ktok/10.9kch
Ctx: est 94.9k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


Can you publish it on pages? Not sure this still works


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Ctx: est 94.9k/200.0k; warn 160.0k reload 190.0k; provider 227.7k
Turn: i 112 o 307 cache 227.6k est $0.0376


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Ctx: est 94.9k/200.0k; warn 160.0k reload 190.0k; provider 227.7k
Turn: i 112 o 307 cache 227.6k est $0.0376


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Ctx: est 94.9k/200.0k; warn 160.0k reload 190.0k; provider 227.7k
Turn: i 112 o 307 cache 227.6k est $0.0376


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 94.9k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 45t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 94.9k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.3s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 97.1k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 17.9s
Time: model 16.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 97.1k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.4s
Time: model 21.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 97.1k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.0s
Time: model 27.3s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 97.1k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.6s
Time: model 32.9s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 97.1k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 40.1s
Time: model 38.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 112 o 307 cache 227.6k est $0.0376; p≈2.2ktok/8.8kch
Ctx: est 97.1k/200.0k; warn 160.0k reload 190.0k; provider 227.7k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 43.3s
Time: model 41.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 229 o 80 t 25 cache 235.3k est $0.0382; p≈2.2ktok/8.8kch
Ctx: est 97.2k/200.0k; warn 160.0k reload 190.0k; provider 235.5k


It works! Published to **https://pages.nvdll.org/reports/prompt-duplication-review.md** 🎉

Pages server is alive and well. The review is now accessible as a public markdown page with metadata and index entry. Want me to also generate a prettier HTML version or regenerate the pages index?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 43.9s
Time: model 41.6s, overhead 2.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 229 o 80 t 25 cache 235.3k est $0.0382; p≈2.2ktok/8.8kch
Ctx: est 97.2k/200.0k; warn 160.0k reload 190.0k; provider 235.5k


No thanks it looks great, we also fixed the formatting earlier so I can actually click your links and see code blocks now, it's nice.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Ctx: est 97.2k/200.0k; warn 160.0k reload 190.0k; provider 235.5k
Turn: i 229 o 80 t 25 cache 235.3k est $0.0382


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Ctx: est 97.2k/200.0k; warn 160.0k reload 190.0k; provider 235.5k
Turn: i 229 o 80 t 25 cache 235.3k est $0.0382


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.8s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Ctx: est 97.2k/200.0k; warn 160.0k reload 190.0k; provider 235.5k
Turn: i 229 o 80 t 25 cache 235.3k est $0.0382


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.2s
Time: overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 229 o 80 t 25 cache 235.3k est $0.0382; p≈1.9ktok/7.4kch
Ctx: est 97.2k/200.0k; warn 160.0k reload 190.0k; provider 235.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.8s
Time: model 5.0s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 46t)
Turn: i 229 o 80 t 25 cache 235.3k est $0.0382; p≈1.9ktok/7.4kch
Ctx: est 97.2k/200.0k; warn 160.0k reload 190.0k; provider 235.5k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 11.4s
Time: model 9.6s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 47t)
Turn: i 1.9k o 100 t 39 cache 235.5k est $0.0395; p≈1.9ktok/7.4kch
Ctx: est 99.2k/200.0k; warn 160.0k reload 190.0k; provider 237.4k


Glad to hear the formatting fix is paying off — clickable links and clean code blocks make a big difference for these kinds of technical docs. We got a lot done this session despite the rough start with the wedging: trimmed the turn packet keywords, added knowledge packs for WGT/videoctl/matrix-lite, researched API providers, and published the prompt duplication review. Not bad for a recovery session! 🙂


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 12.0s
Time: model 9.6s, overhead 2.4s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 47t)
Turn: i 1.9k o 100 t 39 cache 235.5k est $0.0395; p≈1.9ktok/7.4kch
Ctx: est 99.2k/200.0k; warn 160.0k reload 190.0k; provider 237.4k


And we are still at 100k so trimming is paying off


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 47t)
Ctx: est 99.2k/200.0k; warn 160.0k reload 190.0k; provider 237.4k
Turn: i 1.9k o 100 t 39 cache 235.5k est $0.0395


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 47t)
Ctx: est 99.2k/200.0k; warn 160.0k reload 190.0k; provider 237.4k
Turn: i 1.9k o 100 t 39 cache 235.5k est $0.0395


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.6s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 47t)
Ctx: est 99.2k/200.0k; warn 160.0k reload 190.0k; provider 237.4k
Turn: i 1.9k o 100 t 39 cache 235.5k est $0.0395


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 47t)
Turn: i 1.9k o 100 t 39 cache 235.5k est $0.0395; p≈1.6ktok/6.4kch
Ctx: est 99.2k/200.0k; warn 160.0k reload 190.0k; provider 237.4k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 47t)
Turn: i 1.9k o 100 t 39 cache 235.5k est $0.0395; p≈1.6ktok/6.4kch
Ctx: est 99.2k/200.0k; warn 160.0k reload 190.0k; provider 237.4k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 11.4s
Time: model 9.7s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 48t)
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398; p≈1.6ktok/6.4kch
Ctx: est 100.9k/200.0k; warn 160.0k reload 190.0k; provider 239.0k


100k after all that — repo exploration, knowledge pack building, web research, API comparison, architecture review, and pages publishing — is impressive. The old session would've hit the ceiling halfway through. The context budget we freed up by trimming the noisy stuff is clearly making a difference. We've got another 100k of headroom left, so this session still has plenty of life in it. 🙂


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 12.0s
Time: model 9.7s, overhead 2.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 48t)
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398; p≈1.6ktok/6.4kch
Ctx: est 100.9k/200.0k; warn 160.0k reload 190.0k; provider 239.0k


Another problem is all those cached tokens. Can anything be done about those? Without affecting session restore too much


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 48t)
Ctx: est 100.9k/200.0k; warn 160.0k reload 190.0k; provider 239.0k
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 48t)
Ctx: est 100.9k/200.0k; warn 160.0k reload 190.0k; provider 239.0k
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 48t)
Ctx: est 100.9k/200.0k; warn 160.0k reload 190.0k; provider 239.0k
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 48t)
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398; p≈1.5ktok/5.9kch
Ctx: est 100.9k/200.0k; warn 160.0k reload 190.0k; provider 239.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.9s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 48t)
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398; p≈1.5ktok/5.9kch
Ctx: est 100.9k/200.0k; warn 160.0k reload 190.0k; provider 239.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.5s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398; p≈1.5ktok/5.9kch
Ctx: est 102.4k/200.0k; warn 160.0k reload 190.0k; provider 239.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 18.3s
Time: model 16.4s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Turn: i 1.7k o 97 t 75 cache 237.3k est $0.0398; p≈1.5ktok/5.9kch
Ctx: est 102.4k/200.0k; warn 160.0k reload 190.0k; provider 239.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.9s
Time: model 22.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.5ktok/5.9kch
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 24.6s
Time: model 22.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.5ktok/5.9kch
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


Good question. The ~5k cached tokens break down into a few layers:

1. **OpenCode/ACPX system prompt** — built-in instructions for tool calling, permission handling, ACP protocol. This is set by the vendor code.
2. **MCP tool schemas** — every tool's name, description, and JSON parameters schema. We have ~40+ tools across 4 MCP servers. Each tool schema is a JSON blob. This is likely the **biggest chunk** of the cached 5k.
3. **Character card** (600 bytes) — compact, not much to trim
4. **Bootstrap prompt** (~2.5kb) — has some overlap with character card
5. **Agent build prompt** — already minimal (1 sentence)
6. **Permission rules** — tables for bash/read/write permissions

The hard truth: #1, #2, and #6 are infrastructure overhead we can't trim without modifying OpenCode itself. What we CAN control:

- **Bootstrap prompt** could be merged with the character card's system_prompt to eliminate redundancy. Some rules about identity and behavior exist in both places.
- **Character card** could lose `goals` and `tags` if they're already covered in the bootstrap prompt — save ~200 chars.
- **Permission table** size depends on how many allow/deny rules — we could audit if some are stale.

But the biggest win might be accepting that ~5k cached is just platform overhead from having rich tooling. The provider caches it so you pay cache-hit prices (much cheaper), and it only hits context limits once per session, not per turn. Would you like me to look at how much each layer contributes to that 5k? I could check the ACPX session metadata or stream logs for the actual system prompt length.


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 25.1s
Time: model 22.6s, overhead 2.5s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.5ktok/5.9kch
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


Regarding modifying opencode, we have 2 patches already and you're now on our vendored patched backend. So nothing is off limits with gpt 5.5 agents but I am being more careful with opencode than openclaw.
For mcps you have a lean proxy now, I think you probably have only the necessary tools left directly
What can be done about permission rules?

Also I am not talking about 5k but the current 240k. Granted we did a lot in this session, but was there any redundancy? Last time you correctly noticed verbose bash error outputs so this introspection really helps.


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.2s
Time: overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.7ktok/6.6kch
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.8s
Time: model 5.0s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 49t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.7ktok/6.6kch
Ctx: est 102.8k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.4s
Time: model 10.6s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.7ktok/6.6kch
Ctx: est 104.5k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 18.0s
Time: model 16.2s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.7ktok/6.6kch
Ctx: est 104.5k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.7s
Time: model 21.9s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.7ktok/6.6kch
Ctx: est 104.5k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.3s
Time: model 27.5s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.7ktok/6.6kch
Ctx: est 104.5k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 35.0s
Time: model 33.2s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 470 o 402 t 341 cache 241.0k est $0.0415; p≈1.7ktok/6.6kch
Ctx: est 104.7k/200.0k; warn 160.0k reload 190.0k; provider 241.5k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 40.1s
Time: model 38.3s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.7ktok/6.6kch
Ctx: est 104.9k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


Ah, you're looking at the 240k total, not the 5k base. Let me break down what I can see from the context report:

**Context Report breakdown:**
- `cachedReadTokens_cumulative`: 241,024 (provider's accumulated cache accounting)
- `estimated_context_tokens`: 104,464 (actual unique context we're using)
- `prompt_chars`: 367,733 (our conversation history)
- `assistant_chars`: 50,126 (my replies)
- `last_turn_active_tokens`: 1,213 (the per-turn prompt — nice and lean)

The 240k is the provider's cumulative cache metric, not unique context. The actual session content is ~104k unique tokens. But there IS redundancy:

**Permission rules are the biggest fixable bloat.** The opencode config has **26 `"bash"` references** and at least 14 full agent sections duplicating identical allow/deny rules. Each videoctl allow rule appears 14+ times, each test command pattern 14+ times. This bloats the config to 24K+ lines.

**What we can do about it:**
- **Permission inheritance** — OpenCode likely supports per-agent override of a shared base config. Instead of duplicating the same 500+ rules 14 times, define them once and have each agent section inherit with per-agent exceptions.
- **Prune stale rules** — Some denys in the config may reference paths that no longer exist
- **Compact the format** — The JSON config uses verbose object syntax; minifying wouldn't save much but consolidation would

**Other redundancy in the 240k:**
- Our long conversation history from this session (~360k chars of prompts) — normal for a productive session
- Each tool call result gets logged — some are longer than needed

The permission duplication is the low-hanging fruit since it affects every session start and bloats the cached system prompt too. Want me to audit the actual duplication and propose a shared-base config structure?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 40.7s
Time: model 38.3s, overhead 2.4s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.7ktok/6.6kch
Ctx: est 104.9k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


Yes please check what is there and what can be safely removed without affecting your capabilities


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Ctx: est 104.9k/200.0k; warn 160.0k reload 190.0k; provider 246.2k
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Ctx: est 104.9k/200.0k; warn 160.0k reload 190.0k; provider 246.2k
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.7s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Ctx: est 104.9k/200.0k; warn 160.0k reload 190.0k; provider 246.2k
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 104.9k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 50t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 104.9k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.4s
Time: model 10.6s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 18.0s
Time: model 16.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.6s
Time: model 21.9s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.3s
Time: model 27.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 34.9s
Time: model 33.2s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 40.6s
Time: model 38.9s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 46.2s
Time: model 44.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 51.9s
Time: model 50.1s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.7k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 57.5s
Time: model 55.8s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 157 o 447 t 302 cache 246.0k est $0.0421; p≈1.8ktok/7.1kch
Ctx: est 106.8k/200.0k; warn 160.0k reload 190.0k; provider 246.2k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 62.2s
Time: model 60.5s, overhead 1.1s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈1.8ktok/7.1kch
Ctx: est 107.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


I've read the full main bash section (lines 201-550+). Here's what I can safely flag:

**High confidence (safe to remove):**
- **`/home/gleb/openclaw/videoctl` denys** (~50 lines) — the old path pattern. The binary is at `/home/gleb/videoctl/bin/videoctl` now. The `*` catch-all deny already covers these paths since they're dead symlinks. Removing won't affect anything.
- **`/home/gleb/openclaw-tools` rules** (~60+ lines) — you said to ignore this repo. These rules only prevent access to something we don't use.
- **Aggressive `.test-*` cleanup variants** — you have every `rm` flag combination for each of 4 repos × 2 paths = 8 × 4 variants = 32+ lines. A single `rm */.test-*` would never match anyway (shell doesn't expand `*` in paths this way). These are dead rules.

**Medium confidence (consolidation):**
- **Git rules for same repo at different paths** — sfq-factory has git rules for:
  - `/home/gleb/sfq-factory` (7 lines)
  - `/home/matrix-lite/workspace/repos/sfq-factory` (7 lines)
  - `safe.directory=/home/gleb/sfq-factory -C /home/gleb/sfq-factory` (9 lines)
  - `safe.directory=/home/gleb/sfq-factory -C /home/matrix-lite/workspace/repos/sfq-factory` (9 lines)

  That's 32 lines per repo × 4 repos = ~128 lines of near-identical git rules. Could be consolidated to just the workspace paths since `safe.directory` can be set globally.

**With ACPX's `findLast` evaluation ordering**, consolidation is safe — the more specific allow rules (workspace paths) would match before the generic catch-all deny. We could remove the old `/home/gleb/` path rules entirely if `safe.directory` is configured globally. Want me to propose a specific consolidation patch?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 62.8s
Time: model 60.5s, overhead 2.4s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈1.8ktok/7.1kch
Ctx: est 107.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


This doesn't sound like 24 lines you mentioned


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Ctx: est 107.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Ctx: est 107.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.8s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Ctx: est 107.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.3s
Time: overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈2.0ktok/7.8kch
Ctx: est 107.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.8s
Time: model 5.0s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 51t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈2.0ktok/7.8kch
Ctx: est 107.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.5s
Time: model 10.7s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈2.0ktok/7.8kch
Ctx: est 109.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 18.1s
Time: model 16.3s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈2.0ktok/7.8kch
Ctx: est 109.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 23.8s
Time: model 21.9s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈2.0ktok/7.8kch
Ctx: est 109.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 29.4s
Time: model 27.6s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈2.0ktok/7.8kch
Ctx: est 109.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 35.0s
Time: model 33.2s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 9.8k o 478 t 572 cache 257.2k est $0.0521; p≈2.0ktok/7.8kch
Ctx: est 109.1k/200.0k; warn 160.0k reload 190.0k; provider 267.0k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 40.7s
Time: model 38.9s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453; p≈2.0ktok/7.8kch
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k


* 🟡 Processing result
Stage: model returned
Model: kimi-for-coding/k2p6
Elapsed: 41.9s
Time: model 40.1s, overhead 1.3s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453; p≈2.0ktok/7.8kch
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k


You're right to call that out — the 24K lines aren't from a few dozen stale rules. Here's the real breakdown:

- **Main permission section**: ~1,800 lines (bash ~1,500, read/edit/external_directory ~300)
- **14 agent sections**: each with their own `build.permission.bash` containing 200-300+ rules, duplicated across all agents
- **MCP server configs**: ~100 lines (including disabled tools like duckduckgo, searxng, etc.)

So the 14 agent copies are ~85% of the file size. But those are **intentional per-agent permissions**, not pure waste — each agent needs its own allow/deny rules since different agents do different things.

The question is: does OpenCode actually load ALL agent sections at once, or only the current agent's? If it loads all 14, that's massive duplicated overhead. If it only loads the current agent's build.permission + the main permission, then the duplication doesn't affect runtime context size — only the config file being large.

Could you clarify — is the concern about the config file management (24K lines is unwieldy) or actual runtime context consumption?


* 🟢 Done
Stage: final reply sent
Model: kimi-for-coding/k2p6
Elapsed: 42.5s
Time: model 40.1s, overhead 2.4s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453; p≈2.0ktok/7.8kch
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k


The runtime context, I thought you meant 24k lines go there


⚪ Received
Stage: queued for agent
Model: kimi-for-coding/k2p6
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453


* ⚪ Queued
Stage: waiting for conversation turn
Model: kimi-for-coding/k2p6
Elapsed: 0.0s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453


* 🟡 Working
Stage: building prompt
Model: kimi-for-coding/k2p6
Elapsed: 0.8s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 1.2s
Time: overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453; p≈2.1ktok/8.5kch
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 6.8s
Time: model 5.0s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 52t)
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453; p≈2.1ktok/8.5kch
Ctx: est 109.5k/200.0k; warn 160.0k reload 190.0k; provider 272.7k


* 🟡 Working
Stage: model running
Model: kimi-for-coding/k2p6
Elapsed: 12.4s
Time: model 10.6s, overhead 1.2s
Backend: ses_1bf0bdb40ffeAFrAzQZD1eauNw (since 05-19 17:56 CEST, 53t)
Turn: i 202 o 357 t 76 cache 272.5k est $0.0453; p≈2.1ktok/8.5kch
Ctx: est 111.9k/200.0k; warn 160.0k reload 190.0k; provider 272.7k