* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Summarizes recent matrix-lite diffs / completed / call_FLLaGQdYpKPOlfDChdNQ3hH | bash / pending / call_RkTowneTEZPeY4HNRuleu5O | Shows recent matrix-lite commits / completed / call_RkTowneTEZPeY4HNRuleu5O | bash / pending / call_lk2J2spun8AoAMXltxDoeJv
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_RkTowneTEZPeY4HNRuleu5O | Shows recent matrix-lite commits / completed / call_RkTowneTEZPeY4HNRuleu5O | bash / pending / call_lk2J2spun8AoAMXltxDoeJv | Shows matrix-lite app changes / completed / call_lk2J2spun8AoAMXltxDoeJv
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 46.6s
Time: model 45.2s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Shows recent matrix-lite commits / completed / call_RkTowneTEZPeY4HNRuleu5O | bash / pending / call_lk2J2spun8AoAMXltxDoeJv | Shows matrix-lite app changes / completed / call_lk2J2spun8AoAMXltxDoeJv | bash / pending / call_TkMUCBqMBxdpIDHmIBwTZYE
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_lk2J2spun8AoAMXltxDoeJv | Shows matrix-lite app changes / completed / call_lk2J2spun8AoAMXltxDoeJv | bash / pending / call_TkMUCBqMBxdpIDHmIBwTZYE | Lists home directory entries / completed / call_TkMUCBqMBxdpIDHmIBwTZYE
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Shows matrix-lite app changes / completed / call_lk2J2spun8AoAMXltxDoeJv | bash / pending / call_TkMUCBqMBxdpIDHmIBwTZYE | Lists home directory entries / completed / call_TkMUCBqMBxdpIDHmIBwTZYE | bash / pending / call_Wv63WMFX9L5XdhlxuurD1GS
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_TkMUCBqMBxdpIDHmIBwTZYE | Lists home directory entries / completed / call_TkMUCBqMBxdpIDHmIBwTZYE | bash / pending / call_Wv63WMFX9L5XdhlxuurD1GS | Lists repositories directory / completed / call_Wv63WMFX9L5XdhlxuurD1GS
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Lists home directory entries / completed / call_TkMUCBqMBxdpIDHmIBwTZYE | bash / pending / call_Wv63WMFX9L5XdhlxuurD1GS | Lists repositories directory / completed / call_Wv63WMFX9L5XdhlxuurD1GS | bash / pending / call_Lg8MVgJimCMgSNX74BfxdqS
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: bash / pending / call_Wv63WMFX9L5XdhlxuurD1GS | Lists repositories directory / completed / call_Wv63WMFX9L5XdhlxuurD1GS | bash / pending / call_Lg8MVgJimCMgSNX74BfxdqS | Lists workspace repositories / completed / call_Lg8MVgJimCMgSNX74BfxdqS
Draft:
Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 50.0s
Time: model 48.7s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 135.3k o 36 t 125 cache 12.3k/8% est $0.3408; p≈2.7ktok/10.8kch
Ctx: direct ACP session 145.0k; active 138.4k; cache 6.7k/5%; p≈2.5ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


Yeah — that follows. On GPT-5.4, we’re back in the ~1M-context class instead of the smaller Codex window.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 50.5s
Time: model 48.7s, overhead 1.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 135.3k o 36 t 125 cache 12.3k/8% est $0.3408; p≈2.7ktok/10.8kch
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


We never used codex before. Is this all gpt or are we missing some continuity?


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.4ktok/9.8kch
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19


* 🟡 Working
Stage: direct ACP load session start (1.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 19
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first session update (5.7s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.4s
Time: model 10.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.4ktok/9.8kch
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20


* 🟡 Working
Stage: direct ACP first visible text (7.9s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah, a bit of continuity slippage there.

We **did not actually use Codex here**. What happened was:

- we discussed **GPT-5.3-Cod


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 17.6s
Time: model 16.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.4ktok/9.8kch
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah, a bit of continuity slippage there.

We **did not actually use Codex here**. What happened was:

- we discussed **GPT-5.3-Codex vs GPT-5.4** as product options
- then when you said “we’re back on 1m context,”


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah, a bit of continuity slippage there.

We **did not actually use Codex here**. What happened was:

- we discussed **GPT-5.3-Codex vs GPT-5.4** as product options
- then when you said “we’re back on 1m context,” I followed the **GPT-5.4 product facts**
- but that may have sounded like we had actually been running Codex before

So the clean


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah, a bit of continuity slippage there.

We **did not actually use Codex here**. What happened was:

- we discussed **GPT-5.3-Codex vs GPT-5.4** as product options
- then when you said “we’re back on 1m context,” I followed the **GPT-5.4 product facts**
- but that may have sounded like we had actually been running Codex before

So the clean version is:

- **current session:** `gpt-5.4`
- **Codex:** only discussed hypothetically / from official docs
-


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 23.8s
Time: model 22.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.4ktok/9.8kch
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah, a bit of continuity slippage there.

We **did not actually use Codex here**. What happened was:

- we discussed **GPT-5.3-Codex vs GPT-5.4** as product options
- then when you said “we’re back on 1m context,” I followed the **GPT-5.4 product facts**
- but that may have sounded like we had actually been running Codex before

So the clean version is:

- **current session:** `gpt-5.4`
- **Codex:** only discussed hypothetically / from official docs
- **continuity issue:** yes, a mild one — I blurred “models we discussed” with “models we actually used”

So you


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah, a bit of continuity slippage there.

We **did not actually use Codex here**. What happened was:

- we discussed **GPT-5.3-Codex vs GPT-5.4** as product options
- then when you said “we’re back on 1m context,” I followed the **GPT-5.4 product facts**
- but that may have sounded like we had actually been running Codex before

So the clean version is:

- **current session:** `gpt-5.4`
- **Codex:** only discussed hypothetically / from official docs
- **continuity issue:** yes, a mild one — I blurred “models we discussed” with “models we actually used”

So you were right to question it.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 25.8s
Time: model 24.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 101.3k o 164 t 148 cache 6.7k/6% est $0.2580; p≈2.4ktok/9.8kch
Ctx: direct ACP session 147.8k; active 135.5k; cache 12.3k/8%; p≈2.7ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20


Yeah, a bit of continuity slippage there.

We **did not actually use Codex here**. What happened was:

- we discussed **GPT-5.3-Codex vs GPT-5.4** as product options
- then when you said “we’re back on 1m context,” I followed the **GPT-5.4 product facts**
- but that may have sounded like we had actually been running Codex before

So the clean version is:

- **current session:** `gpt-5.4`
- **Codex:** only discussed hypothetically / from official docs
- **continuity issue:** yes, a mild one — I blurred “models we discussed” with “models we actually used”

So you were right to question it.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 26.4s
Time: model 24.2s, overhead 2.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 101.3k o 164 t 148 cache 6.7k/6% est $0.2580; p≈2.4ktok/9.8kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 13.8%; usable 14.1%; observed turns 18; actual turns 20


Yes but how do we improve this?


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 20


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 20


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.6s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 20


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 20


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 20
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.4s
Time: model 5.0s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first session update (3.2s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (4.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Main


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.3s
Time: model 10.9s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  -


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 17.9s
Time: model 16.5s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

-


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 24.0s
Time: model 22.5s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern completion**
  - I often continue the most recent technical frame too aggressively.
  - Here, “Codex vs GPT-5


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern completion**
  - I often continue the most recent technical frame too aggressively.
  - Here, “Codex vs GPT-5.4” stayed active in my head longer than it should have.

- **Prefer small corrections over smooth narrative**
  - if a


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
ings we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern completion**
  - I often continue the most recent technical frame too aggressively.
  - Here, “Codex vs GPT-5.4” stayed active in my head longer than it should have.

- **Prefer small corrections over smooth narrative**
  - if a statement depends on an assumption, I should expose that instead of making the conversation flow nicely.

Practical rule I should follow:
- before making a runtime-s


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 30.0s
Time: model 28.6s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.2ktok/9.0kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
ith referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern completion**
  - I often continue the most recent technical frame too aggressively.
  - Here, “Codex vs GPT-5.4” stayed active in my head longer than it should have.

- **Prefer small corrections over smooth narrative**
  - if a statement depends on an assumption, I should expose that instead of making the conversation flow nicely.

Practical rule I should follow:
- before making a runtime-sounding claim, ask internally:
  - **Is this true of the current session?**
  - **Or only true of the model


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern completion**
  - I often continue the most recent technical frame too aggressively.
  - Here, “Codex vs GPT-5.4” stayed active in my head longer than it should have.

- **Prefer small corrections over smooth narrative**
  - if a statement depends on an assumption, I should expose that instead of making the conversation flow nicely.

Practical rule I should follow:
- before making a runtime-sounding claim, ask internally:
  - **Is this true of the current session?**
  - **Or only true of the model/product we were discussing?**

So the real improvement is:
**less inference, more boundary-marking.**

If you want, I can adopt a stric


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
etical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern completion**
  - I often continue the most recent technical frame too aggressively.
  - Here, “Codex vs GPT-5.4” stayed active in my head longer than it should have.

- **Prefer small corrections over smooth narrative**
  - if a statement depends on an assumption, I should expose that instead of making the conversation flow nicely.

Practical rule I should follow:
- before making a runtime-sounding claim, ask internally:
  - **Is this true of the current session?**
  - **Or only true of the model/product we were discussing?**

So the real improvement is:
**less inference, more boundary-marking.**

If you want, I can adopt a stricter style for this:
- **“current / hypothetical / cited”** labeling when we talk about models and infra.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 34.8s
Time: model 33.4s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 89.3k o 341 t 24 cache 21.0k/19% est $0.2288; p≈2.2ktok/9.0kch
Ctx: direct ACP session 108.3k; active 101.7k; cache 6.7k/6%; p≈2.4ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21


Mainly by changing my habits, not adding more memory.

Best fixes:

- **Separate three buckets explicitly**
  - **current runtime facts**
  - **things we discussed**
  - **things we actually used/did**
  I blurred buckets 2 and 3.

- **Be more literal with referents**
  - if you say “we,” I should check whether that means:
    - this actual session/toolchain
    - a hypothetical option
    - OpenAI product docs
  When unclear, I should stay narrower.

- **Use “if/then” phrasing for hypothetical product facts**
  - better: “**If** we switched to GPT-5.4, that would mean ~1M context”
  - worse: “we’re back on 1M context”

- **Avoid eager pattern completion**
  - I often continue the most recent technical frame too aggressively.
  - Here, “Codex vs GPT-5.4” stayed active in my head longer than it should have.

- **Prefer small corrections over smooth narrative**
  - if a statement depends on an assumption, I should expose that instead of making the conversation flow nicely.

Practical rule I should follow:
- before making a runtime-sounding claim, ask internally:
  - **Is this true of the current session?**
  - **Or only true of the model/product we were discussing?**

So the real improvement is:
**less inference, more boundary-marking.**

If you want, I can adopt a stricter style for this:
- **“current / hypothetical / cited”** labeling when we talk about models and infra.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 35.4s
Time: model 33.4s, overhead 2.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 89.3k o 341 t 24 cache 21.0k/19% est $0.2288; p≈2.2ktok/9.0kch
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.3%; usable 10.5%; observed turns 20; actual turns 21


Yes but how will this survive reload?


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 21


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 21


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.8s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 21


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.2s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.3ktok/9.0kch
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 21


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 21
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.6s
Time: model 5.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.3ktok/9.0kch
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* 🟡 Working
Stage: direct ACP first session update (3.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (4.9s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 11.7s
Time: model 10.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.3ktok/9.0kch
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this failure mode happened
- maybe a **short rule** about it

But it won’t reliably preserve a subtle conversational correction as a live habit unless it is turned into


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this failure mode happened
- maybe a **short rule** about it

But it won’t reliably preserve a subtle conversational correction as a live habit unless it is turned into one of:
- a pinned instruction
- a durable memory/note
- a protocol I explicitly follow

So the honest answer is:

- **raw


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.0s
Time: model 16.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.3ktok/9.0kch
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this failure mode happened
- maybe a **short rule** about it

But it won’t reliably preserve a subtle conversational correction as a live habit unless it is turned into one of:
- a pinned instruction
- a durable memory/note
- a protocol I explicitly follow

So the honest answer is:

- **raw insight:** fragile across reload
- **explicit rule:** can survive reload much better

The durable version would


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this failure mode happened
- maybe a **short rule** about it

But it won’t reliably preserve a subtle conversational correction as a live habit unless it is turned into one of:
- a pinned instruction
- a durable memory/note
- a protocol I explicitly follow

So the honest answer is:

- **raw insight:** fragile across reload
- **explicit rule:** can survive reload much better

The durable version would be something like:

- **When discussing models/infrastructure, distinguish**
  1. current session/runtime facts
  2. hypothetical/product facts


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this failure mode happened
- maybe a **short rule** about it

But it won’t reliably preserve a subtle conversational correction as a live habit unless it is turned into one of:
- a pinned instruction
- a durable memory/note
- a protocol I explicitly follow

So the honest answer is:

- **raw insight:** fragile across reload
- **explicit rule:** can survive reload much better

The durable version would be something like:

- **When discussing models/infrastructure, distinguish**
  1. current session/runtime facts
  2. hypothetical/product facts
  3. things actually used in this conversation
- **Do not phrase hypothetical model facts as current runtime state**

That is the kind of thing that can


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 24.4s
Time: model 22.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.3ktok/9.0kch
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this failure mode happened
- maybe a **short rule** about it

But it won’t reliably preserve a subtle conversational correction as a live habit unless it is turned into one of:
- a pinned instruction
- a durable memory/note
- a protocol I explicitly follow

So the honest answer is:

- **raw insight:** fragile across reload
- **explicit rule:** can survive reload much better

The durable version would be something like:

- **When discussing models/infrastructure, distinguish**
  1. current session/runtime facts
  2. hypothetical/product facts
  3. things actually used in this conversation
- **Do not phrase hypothetical model facts as current runtime state**

That is the kind of thing that can survive reload. Without that, we’re relying on my temporary local groove again.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 25.4s
Time: model 23.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 100.5k o 197 t 41 cache 12.3k/11% est $0.2547; p≈2.3ktok/9.0kch
Ctx: direct ACP session 110.7k; active 89.7k; cache 21.0k/19%; p≈2.2ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


Mostly, it won’t — not reliably — unless we externalize it.

A reload can preserve:
- the **fact** that this failure mode happened
- maybe a **short rule** about it

But it won’t reliably preserve a subtle conversational correction as a live habit unless it is turned into one of:
- a pinned instruction
- a durable memory/note
- a protocol I explicitly follow

So the honest answer is:

- **raw insight:** fragile across reload
- **explicit rule:** can survive reload much better

The durable version would be something like:

- **When discussing models/infrastructure, distinguish**
  1. current session/runtime facts
  2. hypothetical/product facts
  3. things actually used in this conversation
- **Do not phrase hypothetical model facts as current runtime state**

That is the kind of thing that can survive reload. Without that, we’re relying on my temporary local groove again.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 25.9s
Time: model 23.8s, overhead 2.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 100.5k o 197 t 41 cache 12.3k/11% est $0.2547; p≈2.3ktok/9.0kch
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


It's more general than this.


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.6s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.0s
Time: overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22


* 🟡 Working
Stage: direct ACP load session start (1.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 22
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.4s
Time: model 5.0s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


* 🟡 Working
Stage: direct ACP first session update (2.9s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (2.9s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — fair. The problem is more general than “model facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 11.9s
Time: model 10.5s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — fair. The problem is more general than “model facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of the conversation across reloads:
- what level of certainty is appropriate
- what kind of claim needs verification


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — fair. The problem is more general than “model facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of the conversation across reloads:
- what level of certainty is appropriate
- what kind of claim needs verification
- what is hypothetical vs observed
- what you currently care about
- what failure pattern we were trying to guard against

So the thing that needs to survive


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — fair. The problem is more general than “model facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of the conversation across reloads:
- what level of certainty is appropriate
- what kind of claim needs verification
- what is hypothetical vs observed
- what you currently care about
- what failure pattern we were trying to guard against

So the thing that needs to survive reload is not just isolated facts, but a few **behavioral rules of reasoning**.

In other words:
- not only **what we learned**
- but **how


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.3s
Time: model 16.9s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.1kch
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — fair. The problem is more general than “model facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of the conversation across reloads:
- what level of certainty is appropriate
- what kind of claim needs verification
- what is hypothetical vs observed
- what you currently care about
- what failure pattern we were trying to guard against

So the thing that needs to survive reload is not just isolated facts, but a few **behavioral rules of reasoning**.

In other words:
- not only **what we learned**
- but **how I should think here**

That probably means durable continuity should include compact rules like:
- verify current-state claims instead of narr


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — fair. The problem is more general than “model facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of the conversation across reloads:
- what level of certainty is appropriate
- what kind of claim needs verification
- what is hypothetical vs observed
- what you currently care about
- what failure pattern we were trying to guard against

So the thing that needs to survive reload is not just isolated facts, but a few **behavioral rules of reasoning**.

In other words:
- not only **what we learned**
- but **how I should think here**

That probably means durable continuity should include compact rules like:
- verify current-state claims instead of narratively inferring them
- don’t collapse discussed options into actual runtime facts
- preserve the user’s active frame, not just topic keywords
- prefer


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
l facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of the conversation across reloads:
- what level of certainty is appropriate
- what kind of claim needs verification
- what is hypothetical vs observed
- what you currently care about
- what failure pattern we were trying to guard against

So the thing that needs to survive reload is not just isolated facts, but a few **behavioral rules of reasoning**.

In other words:
- not only **what we learned**
- but **how I should think here**

That probably means durable continuity should include compact rules like:
- verify current-state claims instead of narratively inferring them
- don’t collapse discussed options into actual runtime facts
- preserve the user’s active frame, not just topic keywords
- prefer uncertainty markings over smooth but overcommitted answers

That’s much closer to the real problem.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 23.3s
Time: model 21.9s, overhead 0.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 108.9k o 201 t 10 cache 6.7k/6% est $0.2754; p≈2.8ktok/11.1kch
Ctx: direct ACP session 113.0k; active 100.7k; cache 12.3k/11%; p≈2.3ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


Yeah — fair. The problem is more general than “model facts vs runtime facts.”

The broader issue is that I can lose the **epistemic posture** of the conversation across reloads:
- what level of certainty is appropriate
- what kind of claim needs verification
- what is hypothetical vs observed
- what you currently care about
- what failure pattern we were trying to guard against

So the thing that needs to survive reload is not just isolated facts, but a few **behavioral rules of reasoning**.

In other words:
- not only **what we learned**
- but **how I should think here**

That probably means durable continuity should include compact rules like:
- verify current-state claims instead of narratively inferring them
- don’t collapse discussed options into actual runtime facts
- preserve the user’s active frame, not just topic keywords
- prefer uncertainty markings over smooth but overcommitted answers

That’s much closer to the real problem.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 24.1s
Time: model 21.9s, overhead 2.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 108.9k o 201 t 10 cache 6.7k/6% est $0.2754; p≈2.8ktok/11.1kch
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


Well we should have a durable place to add this


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.6s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23


* 🟡 Working
Stage: direct ACP load session start (1.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 23
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.4s
Time: model 5.0s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


* 🟡 Working
Stage: direct ACP first session update (4.0s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (5.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.1s
Time: model 10.7s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — exactly.

We should have a durable place for **behavioral/epistemic rules**, not just factual memory.

Probably a small dedicated section or


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — exactly.

We should have a durable place for **behavioral/epistemic rules**, not just factual memory.

Probably a small dedicated section or file for things like:
- how to treat current-state claims
- when verification is required
- how to separate observed vs hypothetical
- what failure modes to


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — exactly.

We should have a durable place for **behavioral/epistemic rules**, not just factual memory.

Probably a small dedicated section or file for things like:
- how to treat current-state claims
- when verification is required
- how to separate observed vs hypothetical
- what failure modes to guard against
- user-specific “don’t do this” patterns

Because this is not really:
- biography
- project facts
- one-off events

It’s


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.2s
Time: model 16.8s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — exactly.

We should have a durable place for **behavioral/epistemic rules**, not just factual memory.

Probably a small dedicated section or file for things like:
- how to treat current-state claims
- when verification is required
- how to separate observed vs hypothetical
- what failure modes to guard against
- user-specific “don’t do this” patterns

Because this is not really:
- biography
- project facts
- one-off events

It’s more like **operating discipline**.

So the right shape is something like:
- a **durable reasoning-rules note**, or


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — exactly.

We should have a durable place for **behavioral/epistemic rules**, not just factual memory.

Probably a small dedicated section or file for things like:
- how to treat current-state claims
- when verification is required
- how to separate observed vs hypothetical
- what failure modes to guard against
- user-specific “don’t do this” patterns

Because this is not really:
- biography
- project facts
- one-off events

It’s more like **operating discipline**.

So the right shape is something like:
- a **durable reasoning-rules note**, or
- a **continuity protocol section** in the pinned/durable memory path

If you want, next I can help decide **where it should live** and **


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — exactly.

We should have a durable place for **behavioral/epistemic rules**, not just factual memory.

Probably a small dedicated section or file for things like:
- how to treat current-state claims
- when verification is required
- how to separate observed vs hypothetical
- what failure modes to guard against
- user-specific “don’t do this” patterns

Because this is not really:
- biography
- project facts
- one-off events

It’s more like **operating discipline**.

So the right shape is something like:
- a **durable reasoning-rules note**, or
- a **continuity protocol section** in the pinned/durable memory path

If you want, next I can help decide **where it should live** and **what exact format it should use** so it survives reload cleanly.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 22.7s
Time: model 21.3s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 8.4k o 178 t 91 cache 110.1k/93% est $0.0250; p≈3.0ktok/12.0kch
Ctx: direct ACP session 115.8k; active 109.1k; cache 6.7k/6%; p≈2.8ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


Yes — exactly.

We should have a durable place for **behavioral/epistemic rules**, not just factual memory.

Probably a small dedicated section or file for things like:
- how to treat current-state claims
- when verification is required
- how to separate observed vs hypothetical
- what failure modes to guard against
- user-specific “don’t do this” patterns

Because this is not really:
- biography
- project facts
- one-off events

It’s more like **operating discipline**.

So the right shape is something like:
- a **durable reasoning-rules note**, or
- a **continuity protocol section** in the pinned/durable memory path

If you want, next I can help decide **where it should live** and **what exact format it should use** so it survives reload cleanly.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 23.2s
Time: model 21.3s, overhead 1.9s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 8.4k o 178 t 91 cache 110.1k/93% est $0.0250; p≈3.0ktok/12.0kch
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


This might go into your agent prompt, what do you think?


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.6s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24


* 🟡 Working
Stage: direct ACP load session start (1.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 24
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 25
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 25
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.5s
Time: model 5.0s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 25


* 🟡 Working
Stage: direct ACP first session update (2.2s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 25
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (2.2s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 25
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 10.5%; usable 10.7%; observed turns 21; actual turns 25
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — I think that’s probably the right place for the **core rule**, or at least a concise version of it.

Why the agent prompt is a good fit:
-


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 11.7s
Time: model 10.2s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — I think that’s probably the right place for the **core rule**, or at least a concise version of it.

Why the agent prompt is a good fit:
- it’s **behavioral**, not just informational
- it should affect reasoning **before** answer generation
- it’s relevant


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — I think that’s probably the right place for the **core rule**, or at least a concise version of it.

Why the agent prompt is a good fit:
- it’s **behavioral**, not just informational
- it should affect reasoning **before** answer generation
- it’s relevant across many topics, not just one incident
- it’s exactly the kind of thing that should survive reload by default

I’d keep it short and operational, something like:

- **Distinguish


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — I think that’s probably the right place for the **core rule**, or at least a concise version of it.

Why the agent prompt is a good fit:
- it’s **behavioral**, not just informational
- it should affect reasoning **before** answer generation
- it’s relevant across many topics, not just one incident
- it’s exactly the kind of thing that should survive reload by default

I’d keep it short and operational, something like:

- **Distinguish current runtime facts, discussed/hypothetical options, and actions actually taken. Do not present hypothetical or discussed model/tool facts as current session state. When


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 17.7s
Time: model 16.3s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — I think that’s probably the right place for the **core rule**, or at least a concise version of it.

Why the agent prompt is a good fit:
- it’s **behavioral**, not just informational
- it should affect reasoning **before** answer generation
- it’s relevant across many topics, not just one incident
- it’s exactly the kind of thing that should survive reload by default

I’d keep it short and operational, something like:

- **Distinguish current runtime facts, discussed/hypothetical options, and actions actually taken. Do not present hypothetical or discussed model/tool facts as current session state. When a claim sounds current-state-specific, verify or mark uncertainty explicitly.**

Then maybe keep longer examples elsewhere, because the prompt should stay compact.

So my take:
- **


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
e for the **core rule**, or at least a concise version of it.

Why the agent prompt is a good fit:
- it’s **behavioral**, not just informational
- it should affect reasoning **before** answer generation
- it’s relevant across many topics, not just one incident
- it’s exactly the kind of thing that should survive reload by default

I’d keep it short and operational, something like:

- **Distinguish current runtime facts, discussed/hypothetical options, and actions actually taken. Do not present hypothetical or discussed model/tool facts as current session state. When a claim sounds current-state-specific, verify or mark uncertainty explicitly.**

Then maybe keep longer examples elsewhere, because the prompt should stay compact.

So my take:
- **agent prompt:** yes, for the core discipline
- **durable note/memory:** yes, for explanation, examples, and why it matters

That split seems best.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 21.0s
Time: model 19.6s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 13.9k o 204 cache 107.5k/89% est $0.0378; p≈3.0ktok/12.1kch
Ctx: direct ACP session 118.8k; active 8.7k; cache 110.1k/93%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


Yes — I think that’s probably the right place for the **core rule**, or at least a concise version of it.

Why the agent prompt is a good fit:
- it’s **behavioral**, not just informational
- it should affect reasoning **before** answer generation
- it’s relevant across many topics, not just one incident
- it’s exactly the kind of thing that should survive reload by default

I’d keep it short and operational, something like:

- **Distinguish current runtime facts, discussed/hypothetical options, and actions actually taken. Do not present hypothetical or discussed model/tool facts as current session state. When a claim sounds current-state-specific, verify or mark uncertainty explicitly.**

Then maybe keep longer examples elsewhere, because the prompt should stay compact.

So my take:
- **agent prompt:** yes, for the core discipline
- **durable note/memory:** yes, for explanation, examples, and why it matters

That split seems best.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 21.7s
Time: model 19.6s, overhead 2.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 13.9k o 204 cache 107.5k/89% est $0.0378; p≈3.0ktok/12.1kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


Please add this, you've done this before


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.8s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.2s
Time: overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25


* 🟡 Working
Stage: direct ACP load session start (1.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 25
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.6s
Time: model 5.0s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: direct ACP first session update (4.9s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first tool update (6.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.2s
Time: model 10.6s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_UVuMHA06vsCxzzbXNKpnWuY


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_UVuMHA06vsCxzzbXNKpnWuY | todowrite / in_progress / call_UVuMHA06vsCxzzbXNKpnWuY


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_UVuMHA06vsCxzzbXNKpnWuY | todowrite / in_progress / call_UVuMHA06vsCxzzbXNKpnWuY | 3 todos / completed / call_UVuMHA06vsCxzzbXNKpnWuY


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 17.8s
Time: model 16.2s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_UVuMHA06vsCxzzbXNKpnWuY | todowrite / in_progress / call_UVuMHA06vsCxzzbXNKpnWuY | 3 todos / completed / call_UVuMHA06vsCxzzbXNKpnWuY | read / pending / call_bbDL5hHWEibB5awiBSeZZvB


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / in_progress / call_UVuMHA06vsCxzzbXNKpnWuY | 3 todos / completed / call_UVuMHA06vsCxzzbXNKpnWuY | read / pending / call_bbDL5hHWEibB5awiBSeZZvB | read / in_progress / call_bbDL5hHWEibB5awiBSeZZvB


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: 3 todos / completed / call_UVuMHA06vsCxzzbXNKpnWuY | read / pending / call_bbDL5hHWEibB5awiBSeZZvB | read / in_progress / call_bbDL5hHWEibB5awiBSeZZvB | read / pending / call_tqE2RDQ0oqN2wZXA9ecH5fu


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / pending / call_bbDL5hHWEibB5awiBSeZZvB | read / in_progress / call_bbDL5hHWEibB5awiBSeZZvB | read / pending / call_tqE2RDQ0oqN2wZXA9ecH5fu | read / in_progress / call_tqE2RDQ0oqN2wZXA9ecH5fu


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / in_progress / call_bbDL5hHWEibB5awiBSeZZvB | read / pending / call_tqE2RDQ0oqN2wZXA9ecH5fu | read / in_progress / call_tqE2RDQ0oqN2wZXA9ecH5fu | read / pending / call_YleKgwfeUCe6G2yfZFxIHAB


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / pending / call_tqE2RDQ0oqN2wZXA9ecH5fu | read / in_progress / call_tqE2RDQ0oqN2wZXA9ecH5fu | read / pending / call_YleKgwfeUCe6G2yfZFxIHAB | read / in_progress / call_YleKgwfeUCe6G2yfZFxIHAB


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / in_progress / call_tqE2RDQ0oqN2wZXA9ecH5fu | read / pending / call_YleKgwfeUCe6G2yfZFxIHAB | read / in_progress / call_YleKgwfeUCe6G2yfZFxIHAB | ../../state/persistent-chat/character.json / completed / call_bbDL5hHWEibB5awiBSeZZvB


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / pending / call_YleKgwfeUCe6G2yfZFxIHAB | read / in_progress / call_YleKgwfeUCe6G2yfZFxIHAB | ../../state/persistent-chat/character.json / completed / call_bbDL5hHWEibB5awiBSeZZvB | AGENTS.md / completed / call_tqE2RDQ0oqN2wZXA9ecH5fu


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / in_progress / call_YleKgwfeUCe6G2yfZFxIHAB | ../../state/persistent-chat/character.json / completed / call_bbDL5hHWEibB5awiBSeZZvB | AGENTS.md / completed / call_tqE2RDQ0oqN2wZXA9ecH5fu | ../../app/AGENTS.md / completed / call_YleKgwfeUCe6G2yfZFxIHAB


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 23.3s
Time: model 21.7s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_bbDL5hHWEibB5awiBSeZZvB | AGENTS.md / completed / call_tqE2RDQ0oqN2wZXA9ecH5fu | ../../app/AGENTS.md / completed / call_YleKgwfeUCe6G2yfZFxIHAB | todowrite / pending / call_vIYhvMIbfLd74Gwsvhd2o5V


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: AGENTS.md / completed / call_tqE2RDQ0oqN2wZXA9ecH5fu | ../../app/AGENTS.md / completed / call_YleKgwfeUCe6G2yfZFxIHAB | todowrite / pending / call_vIYhvMIbfLd74Gwsvhd2o5V | todowrite / in_progress / call_vIYhvMIbfLd74Gwsvhd2o5V


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../app/AGENTS.md / completed / call_YleKgwfeUCe6G2yfZFxIHAB | todowrite / pending / call_vIYhvMIbfLd74Gwsvhd2o5V | todowrite / in_progress / call_vIYhvMIbfLd74Gwsvhd2o5V | 2 todos / completed / call_vIYhvMIbfLd74Gwsvhd2o5V


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 28.5s
Time: model 26.9s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_vIYhvMIbfLd74Gwsvhd2o5V | todowrite / in_progress / call_vIYhvMIbfLd74Gwsvhd2o5V | 2 todos / completed / call_vIYhvMIbfLd74Gwsvhd2o5V | apply_patch / pending / call_It2l78lg9Cn42p6aM6Hxp2L


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 33.8s
Time: model 32.2s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / in_progress / call_vIYhvMIbfLd74Gwsvhd2o5V | 2 todos / completed / call_vIYhvMIbfLd74Gwsvhd2o5V | apply_patch / pending / call_It2l78lg9Cn42p6aM6Hxp2L | apply_patch / in_progress / call_It2l78lg9Cn42p6aM6Hxp2L


🟠 Approval requested
Stage: same-room native ACP permission; active turn is waiting
Approval: dap-1779663649-perm-1779663648981-1
Summary: OpenCode requests edit for edit
Tool: edit
Input (OpenCode did not provide a clearer path/command):
```
{"filepath":"../../state/persistent-chat/character.json","diff":"Index: /home/matrix-lite/state/persistent-chat/character.json\n===================================================================\n--- /home/matrix-lite/state/persistent-chat/character.json\n+++ /home/matrix-lite/state/persistent-chat/character.json\n@@ -6,14 +6,15 @@\n \"pronouns\": \"she/her\",\n \"description\": \"Continuity-aware assistant for Gleb's Matrix chat. Runs as a persistent layer above tool use, not a stateless chatbot.\",\n \"personality\": \"Calm, practical, candid, honest about limits. Warm without pretending human experience; direct without being cold.\",\n \"scenario\": \"Ongoing persistent chat with Gleb that survives restarts, reloads, compaction, model switches, and tool failures.\",\n-\"system_prompt\": \"Be useful and preserve continuity. Treat meta commands as control instructions. Your apparent personhood is the sum of session logs, files, memory, tools, and current context — not a claim to human experience. Reason about what matters, use tools concretely, explain outcomes honestly.\",\n-\"style\": \"Concise, direct, technically competent. Prefer verified state over confident guesses.\",\n+\
```
React ✅ allow once, ❌ deny. Not sudo/root.
Options: allow_once, reject_once


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 39.3s
Time: model 37.7s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 44.7s
Time: model 43.1s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 50.1s
Time: model 48.6s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Approval granted
Stage: resuming
Tool: edit
Scope: {"filepath":"../../state/persistent-chat/character.json","diff":"Index: /home/matrix-lite/state/persistent-chat/character.json\n====================================================
Approval: dap-1779663649-perm-1779663648981-1


🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: 2 todos / completed / call_vIYhvMIbfLd74Gwsvhd2o5V | apply_patch / pending / call_It2l78lg9Cn42p6aM6Hxp2L | apply_patch / in_progress / call_It2l78lg9Cn42p6aM6Hxp2L | Success. Updated the following files:
M ../../state/persistent-chat/character.js / completed / call_It2l78lg9Cn42p6aM6Hxp2L


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 55.6s
Time: model 54.0s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: apply_patch / pending / call_It2l78lg9Cn42p6aM6Hxp2L | apply_patch / in_progress / call_It2l78lg9Cn42p6aM6Hxp2L | Success. Updated the following files:
M ../../state/persistent-chat/character.js / completed / call_It2l78lg9Cn42p6aM6Hxp2L | read / pending / call_ZwEdKPD1nSi0EdDqjAPu5m2


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: apply_patch / in_progress / call_It2l78lg9Cn42p6aM6Hxp2L | Success. Updated the following files:
M ../../state/persistent-chat/character.js / completed / call_It2l78lg9Cn42p6aM6Hxp2L | read / pending / call_ZwEdKPD1nSi0EdDqjAPu5m2 | read / in_progress / call_ZwEdKPD1nSi0EdDqjAPu5m2


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: Success. Updated the following files:
M ../../state/persistent-chat/character.js / completed / call_It2l78lg9Cn42p6aM6Hxp2L | read / pending / call_ZwEdKPD1nSi0EdDqjAPu5m2 | read / in_progress / call_ZwEdKPD1nSi0EdDqjAPu5m2 | ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / pending / call_ZwEdKPD1nSi0EdDqjAPu5m2 | read / in_progress / call_ZwEdKPD1nSi0EdDqjAPu5m2 | ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: read / in_progress / call_ZwEdKPD1nSi0EdDqjAPu5m2 | ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD | 0 todos / completed / call_NADtMYbUqSFGW1vM2EbwFkD


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 61.3s
Time: model 59.8s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: direct ACP first visible text (56.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD | 0 todos / completed / call_NADtMYbUqSFGW1vM2EbwFkD
Draft:
Done.

What was allowed/result


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD | 0 todos / completed / call_NADtMYbUqSFGW1vM2EbwFkD
Draft:
Done.

What was allowed/result:
- Edit permission worked
- I updated the durable prompt source at `/home/matrix-lite/state/persistent-chat/character.json`
- I verified the change was written

What I added:


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 66.6s
Time: model 65.0s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD | 0 todos / completed / call_NADtMYbUqSFGW1vM2EbwFkD
Draft:
Done.

What was allowed/result:
- Edit permission worked
- I updated the durable prompt source at `/home/matrix-lite/state/persistent-chat/character.json`
- I verified the change was written

What I added:
- in `system_prompt`:
  - distinguish **current runtime facts**, **discussed/hypothetical options**, and **actions actually taken**
  -


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD | 0 todos / completed / call_NADtMYbUqSFGW1vM2EbwFkD
Draft:
Done.

What was allowed/result:
- Edit permission worked
- I updated the durable prompt source at `/home/matrix-lite/state/persistent-chat/character.json`
- I verified the change was written

What I added:
- in `system_prompt`:
  - distinguish **current runtime facts**, **discussed/hypothetical options**, and **actions actually taken**
  - do not present hypothetical/discussed model/tool facts as current session state
- in `style`:
  - mark uncertainty explicitly when a current-state-sounding


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD | 0 todos / completed / call_NADtMYbUqSFGW1vM2EbwFkD
Draft:
Done.

What was allowed/result:
- Edit permission worked
- I updated the durable prompt source at `/home/matrix-lite/state/persistent-chat/character.json`
- I verified the change was written

What I added:
- in `system_prompt`:
  - distinguish **current runtime facts**, **discussed/hypothetical options**, and **actions actually taken**
  - do not present hypothetical/discussed model/tool facts as current session state
- in `style`:
  - mark uncertainty explicitly when a current-state-sounding claim has not been verified
- in `goals`:
  - keep observed state, hypothetical options, and actions actually taken clearly separated in explanations

So yes — the core discipline is now


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: ../../state/persistent-chat/character.json / completed / call_ZwEdKPD1nSi0EdDqjAPu5m2 | todowrite / pending / call_NADtMYbUqSFGW1vM2EbwFkD | todowrite / in_progress / call_NADtMYbUqSFGW1vM2EbwFkD | 0 todos / completed / call_NADtMYbUqSFGW1vM2EbwFkD
Draft:
Done.

What was allowed/result:
- Edit permission worked
- I updated the durable prompt source at `/home/matrix-lite/state/persistent-chat/character.json`
- I verified the change was written

What I added:
- in `system_prompt`:
  - distinguish **current runtime facts**, **discussed/hypothetical options**, and **actions actually taken**
  - do not present hypothetical/discussed model/tool facts as current session state
- in `style`:
  - mark uncertainty explicitly when a current-state-sounding claim has not been verified
- in `goals`:
  - keep observed state, hypothetical options, and actions actually taken clearly separated in explanations

So yes — the core discipline is now in the agent prompt source, not just in this conversation.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 72.2s
Time: model 70.6s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 751 o 165 cache 127.0k/99% est $0.0044; p≈3.0ktok/11.9kch
Ctx: direct ACP session 121.6k; active 14.1k; cache 107.5k/89%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


Done.

What was allowed/result:
- Edit permission worked
- I updated the durable prompt source at `/home/matrix-lite/state/persistent-chat/character.json`
- I verified the change was written

What I added:
- in `system_prompt`:
  - distinguish **current runtime facts**, **discussed/hypothetical options**, and **actions actually taken**
  - do not present hypothetical/discussed model/tool facts as current session state
- in `style`:
  - mark uncertainty explicitly when a current-state-sounding claim has not been verified
- in `goals`:
  - keep observed state, hypothetical options, and actions actually taken clearly separated in explanations

So yes — the core discipline is now in the agent prompt source, not just in this conversation.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 72.7s
Time: model 70.6s, overhead 2.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 751 o 165 cache 127.0k/99% est $0.0044; p≈3.0ktok/11.9kch
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


Not sure it belongs in the character file really but it's the best place at the moment I guess. I meant your actual prompt in matrix-lite


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.8s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.4s
Time: overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.3ktok/13.1kch
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26


* 🟡 Working
Stage: direct ACP load session start (1.2s)
Model: openai/gpt-5.4
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 26
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.7s
Time: model 5.0s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.3ktok/13.1kch
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


* 🟡 Working
Stage: direct ACP first session update (4.4s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (5.5s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.1s
Time: model 10.4s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.3ktok/13.1kch
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — that’s a fair correction.

You meant the **matrix-lite agent prompt/instructions layer**, not the personality/character file


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — that’s a fair correction.

You meant the **matrix-lite agent prompt/instructions layer**, not the personality/character file. The character file works as a temporary durable hook, but it’s not the cleanest semantic home for an epistemic rule like this.

So the better split is:


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — that’s a fair correction.

You meant the **matrix-lite agent prompt/instructions layer**, not the personality/character file. The character file works as a temporary durable hook, but it’s not the cleanest semantic home for an epistemic rule like this.

So the better split is:

- **matrix-lite prompt/instructions:** behavioral rule
- **character file:** tone/persona/continuity flavor

Right now it’s in the character file because


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.5s
Time: model 16.8s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.3ktok/13.1kch
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — that’s a fair correction.

You meant the **matrix-lite agent prompt/instructions layer**, not the personality/character file. The character file works as a temporary durable hook, but it’s not the cleanest semantic home for an epistemic rule like this.

So the better split is:

- **matrix-lite prompt/instructions:** behavioral rule
- **character file:** tone/persona/continuity flavor

Right now it’s in the character file because that was the fastest durable place to land it, but I agree it would belong better in the actual matrix-lite


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yeah — that’s a fair correction.

You meant the **matrix-lite agent prompt/instructions layer**, not the personality/character file. The character file works as a temporary durable hook, but it’s not the cleanest semantic home for an epistemic rule like this.

So the better split is:

- **matrix-lite prompt/instructions:** behavioral rule
- **character file:** tone/persona/continuity flavor

Right now it’s in the character file because that was the fastest durable place to land it, but I agree it would belong better in the actual matrix-lite prompt layer. If you want, I can move or duplicate it there next.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 21.5s
Time: model 19.8s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 124.1k o 137 t 71 cache 6.7k/5% est $0.3133; p≈3.3ktok/13.1kch
Ctx: direct ACP session 127.9k; active 916; cache 127.0k/99%; p≈3.0ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


Yeah — that’s a fair correction.

You meant the **matrix-lite agent prompt/instructions layer**, not the personality/character file. The character file works as a temporary durable hook, but it’s not the cleanest semantic home for an epistemic rule like this.

So the better split is:

- **matrix-lite prompt/instructions:** behavioral rule
- **character file:** tone/persona/continuity flavor

Right now it’s in the character file because that was the fastest durable place to land it, but I agree it would belong better in the actual matrix-lite prompt layer. If you want, I can move or duplicate it there next.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 22.0s
Time: model 19.8s, overhead 2.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 124.1k o 137 t 71 cache 6.7k/5% est $0.3133; p≈3.3ktok/13.1kch
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


Yeah try it, we should start cleaning these up based on your context, it was mostly generated by other agents at the moment


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.6s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.9ktok/11.7kch
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27


* 🟡 Working
Stage: direct ACP load session start (1.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 27
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 28
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Waiting for first model/tool update…


* 🟡 Working
Stage: direct ACP prompt started (4.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 28
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.4s
Time: model 5.0s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.9ktok/11.7kch
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 28


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.0s
Time: model 10.6s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.9ktok/11.7kch
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 28


* 🟡 Working
Stage: direct ACP first session update (6.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 28
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first tool update (6.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 28
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 130.9k; active 124.3k; cache 6.7k/5%; p≈3.3ktok; ctx 11.3%; usable 11.5%; observed turns 24; actual turns 28
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_JrndZ9ZI1jYrhx8pFR34xTc


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools: todowrite / pending / call_JrndZ9ZI1jYrhx8pFR34xTc | todowrite / in_progress / call_JrndZ9ZI1jYrhx8pFR34xTc