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

I do have tool access from this chat side, including web/search-style tools, but that’s different from the **persistent-chat OpenCode MCP config**.

So the distinction is:

- **chat/tool bridge:** yes, I can still use tools like web search from here
- **persistent-chat MCP entries inside OpenCode:** those specific `playwright` / `duckduckgo` / `searxng` / `brave-search` MCPs are disabled in the current `opencode.json`

So you were right to push back: “disabled in MCP config” does **not** mean “I have no way to search at all.” It just means those particular OpenCode MCP servers are off for this session config.


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 246.4k; active 5.8k; cache 240.6k/98%; p≈2.7ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 32.1s
Time: model 30.4s, overhead 1.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 248.7k o 157 t 87 est $0.6253; p≈2.6ktok/10.6kch
Ctx: direct ACP session 246.4k; active 5.8k; cache 240.6k/98%; p≈2.7ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64


Yeah — fair.

I do have tool access from this chat side, including web/search-style tools, but that’s different from the **persistent-chat OpenCode MCP config**.

So the distinction is:

- **chat/tool bridge:** yes, I can still use tools like web search from here
- **persistent-chat MCP entries inside OpenCode:** those specific `playwright` / `duckduckgo` / `searxng` / `brave-search` MCPs are disabled in the current `opencode.json`

So you were right to push back: “disabled in MCP config” does **not** mean “I have no way to search at all.” It just means those particular OpenCode MCP servers are off for this session config.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 32.6s
Time: model 30.4s, overhead 2.2s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 248.7k o 157 t 87 est $0.6253; p≈2.6ktok/10.6kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64


They are on just hidden behind proxy so we don't waste context on tool schemas. We talked about it


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64


* 🟡 Working
Stage: direct ACP load session start (1.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 64
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65
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 (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65
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≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.3s
Time: model 10.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 🟡 Working
Stage: direct ACP first session update (8.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (9.6s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


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


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 17.8s
Time: model 16.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 23.8s
Time: model 22.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about


* 🟡 Working
Stage: direct ACP first tool update (10.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (5):
- bash / pending / call_bssAfkGPeMqfz3pA4mf1Ukm
- Shows unstaged and staged diff / completed / call_bssAfkGPeMqfz3pA4mf1Ukm
- bash / pending / call_HmkFrYhndTbTg2ZXN9KIMNf
- Shows working tree changes / completed / call_HmkFrYhndTbTg2ZXN9KIMNf
- todowrite / pending / call_RkFkCJU4WKMZWcYjj1935yh

Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 29.7s
Time: model 28.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (11):
- bash / pending / call_bssAfkGPeMqfz3pA4mf1Ukm
- Shows unstaged and staged diff / completed / call_bssAfkGPeMqfz3pA4mf1Ukm
- bash / pending / call_HmkFrYhndTbTg2ZXN9KIMNf
- Shows working tree changes / completed / call_HmkFrYhndTbTg2ZXN9KIMNf
- todowrite / pending / call_RkFkCJU4WKMZWcYjj1935yh
- 0 todos / completed / call_RkFkCJU4WKMZWcYjj1935yh
- read / pending / call_V2cm8LAHAyFwFnAIYuRSw63
- ../../app/config/matrix-lite.json / completed / call_V2cm8LAHAyFwFnAIYuRSw63
- read / pending / call_R1c8a46i2j7a0jA2npOsfpl
- ../../app/matrix_lite/daemon.py / completed / call_R1c8a46i2j7a0jA2npOsfpl
- apply_patch / pending / call_XPajo7qjuVnPKFPLKwpPNOX

Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (17):
- bash / pending / call_bssAfkGPeMqfz3pA4mf1Ukm
- Shows unstaged and staged diff / completed / call_bssAfkGPeMqfz3pA4mf1Ukm
- bash / pending / call_HmkFrYhndTbTg2ZXN9KIMNf
- Shows working tree changes / completed / call_HmkFrYhndTbTg2ZXN9KIMNf
- todowrite / pending / call_RkFkCJU4WKMZWcYjj1935yh
- 0 todos / completed / call_RkFkCJU4WKMZWcYjj1935yh
- read / pending / call_V2cm8LAHAyFwFnAIYuRSw63
- ../../app/config/matrix-lite.json / completed / call_V2cm8LAHAyFwFnAIYuRSw63
- read / pending / call_R1c8a46i2j7a0jA2npOsfpl
- ../../app/matrix_lite/daemon.py / completed / call_R1c8a46i2j7a0jA2npOsfpl
- apply_patch / pending / call_XPajo7qjuVnPKFPLKwpPNOX
- Success. Updated the following files:
M ../../app/matrix_lite/daemon.py / completed / call_XPajo7qjuVnPKFPLKwpPNOX
- read / pending / call_2G3W8G23PT8WbUb4TErmIMN
- ../../app/matrix_lite/daemon.py / completed / call_2G3W8G23PT8WbUb4TErmIMN
- grep / pending / call_2PiiFvigt0LE7QKnkbBC1Rk
- tool_idle_timeout\s*=|first_event_timeout\s*=|DEFAULT_ACP_TIMEOUT_SECONDS / completed / call_2PiiFvigt0LE7QKnkbBC1Rk
- read / pending / call_OGkMEFjYDFuZnszrhY6FJXo

Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (24):
- bash / pending / call_bssAfkGPeMqfz3pA4mf1Ukm
- Shows unstaged and staged diff / completed / call_bssAfkGPeMqfz3pA4mf1Ukm
- bash / pending / call_HmkFrYhndTbTg2ZXN9KIMNf
- Shows working tree changes / completed / call_HmkFrYhndTbTg2ZXN9KIMNf
- todowrite / pending / call_RkFkCJU4WKMZWcYjj1935yh
- 0 todos / completed / call_RkFkCJU4WKMZWcYjj1935yh
- read / pending / call_V2cm8LAHAyFwFnAIYuRSw63
- ../../app/config/matrix-lite.json / completed / call_V2cm8LAHAyFwFnAIYuRSw63
- read / pending / call_R1c8a46i2j7a0jA2npOsfpl
- ../../app/matrix_lite/daemon.py / completed / call_R1c8a46i2j7a0jA2npOsfpl
- apply_patch / pending / call_XPajo7qjuVnPKFPLKwpPNOX
- Success. Updated the following files:
M ../../app/matrix_lite/daemon.py / completed / call_XPajo7qjuVnPKFPLKwpPNOX
- read / pending / call_2G3W8G23PT8WbUb4TErmIMN
- ../../app/matrix_lite/daemon.py / completed / call_2G3W8G23PT8WbUb4TErmIMN
- grep / pending / call_2PiiFvigt0LE7QKnkbBC1Rk
- tool_idle_timeout\s*=|first_event_timeout\s*=|DEFAULT_ACP_TIMEOUT_SECONDS / completed / call_2PiiFvigt0LE7QKnkbBC1Rk
- read / pending / call_OGkMEFjYDFuZnszrhY6FJXo
- ../../app/matrix_lite/daemon.py / completed / call_OGkMEFjYDFuZnszrhY6FJXo
- read / pending / call_DKphxh3l7aJscRURCf34Kdz
- ../../app/matrix_lite/daemon.py / completed / call_DKphxh3l7aJscRURCf34Kdz
- grep / pending / call_Ji8dYFljOdvfmX9c5RmAg6a
- --timeout-ms|timeoutMs|direct_acp_client.mjs / completed / call_Ji8dYFljOdvfmX9c5RmAg6a
- read / pending / call_RybC5dqJyBk25NT4sJfM4dd
- ../../app/scripts/matrix-lite-direct-acp-client.mjs / completed / call_RybC5dqJyBk25NT4sJfM4dd

Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 35.4s
Time: model 33.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (30):
- bash / pending / call_bssAfkGPeMqfz3pA4mf1Ukm
- Shows unstaged and staged diff / completed / call_bssAfkGPeMqfz3pA4mf1Ukm
- bash / pending / call_HmkFrYhndTbTg2ZXN9KIMNf
- Shows working tree changes / completed / call_HmkFrYhndTbTg2ZXN9KIMNf
- todowrite / pending / call_RkFkCJU4WKMZWcYjj1935yh
- 0 todos / completed / call_RkFkCJU4WKMZWcYjj1935yh
- read / pending / call_V2cm8LAHAyFwFnAIYuRSw63
- ../../app/config/matrix-lite.json / completed / call_V2cm8LAHAyFwFnAIYuRSw63
- read / pending / call_R1c8a46i2j7a0jA2npOsfpl
- ../../app/matrix_lite/daemon.py / completed / call_R1c8a46i2j7a0jA2npOsfpl
- apply_patch / pending / call_XPajo7qjuVnPKFPLKwpPNOX
- Success. Updated the following files:
M ../../app/matrix_lite/daemon.py / completed / call_XPajo7qjuVnPKFPLKwpPNOX
- read / pending / call_2G3W8G23PT8WbUb4TErmIMN
- ../../app/matrix_lite/daemon.py / completed / call_2G3W8G23PT8WbUb4TErmIMN
- grep / pending / call_2PiiFvigt0LE7QKnkbBC1Rk
- tool_idle_timeout\s*=|first_event_timeout\s*=|DEFAULT_ACP_TIMEOUT_SECONDS / completed / call_2PiiFvigt0LE7QKnkbBC1Rk
- read / pending / call_OGkMEFjYDFuZnszrhY6FJXo
- ../../app/matrix_lite/daemon.py / completed / call_OGkMEFjYDFuZnszrhY6FJXo
- read / pending / call_DKphxh3l7aJscRURCf34Kdz
- ../../app/matrix_lite/daemon.py / completed / call_DKphxh3l7aJscRURCf34Kdz
- grep / pending / call_Ji8dYFljOdvfmX9c5RmAg6a
- --timeout-ms|timeoutMs|direct_acp_client.mjs / completed / call_Ji8dYFljOdvfmX9c5RmAg6a
- read / pending / call_RybC5dqJyBk25NT4sJfM4dd
- ../../app/scripts/matrix-lite-direct-acp-client.mjs / completed / call_RybC5dqJyBk25NT4sJfM4dd
- read / pending / call_0kWjCjQiCUEt1KBKVF22z0r
- ../../app/scripts/matrix-lite-direct-acp-client.mjs / completed / call_0kWjCjQiCUEt1KBKVF22z0r
- grep / pending / call_qMwIPUoH36o10l1sZVOiP15
- tool idle timeout|timeoutMs|timeoutSeconds|300000|300\)|5 \* 60|300000ms|idle wa / completed / call_qMwIPUoH36o10l1sZVOiP15
- read / pending / call_qPWhhYHTMzlRRzqjFeo5QTP
- ../../app/matrix_lite/daemon.py / completed / call_qPWhhYHTMzlRRzqjFeo5QTP

Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (37):
- bash / pending / call_bssAfkGPeMqfz3pA4mf1Ukm
- Shows unstaged and staged diff / completed / call_bssAfkGPeMqfz3pA4mf1Ukm
- bash / pending / call_HmkFrYhndTbTg2ZXN9KIMNf
- Shows working tree changes / completed / call_HmkFrYhndTbTg2ZXN9KIMNf
- todowrite / pending / call_RkFkCJU4WKMZWcYjj1935yh
- 0 todos / completed / call_RkFkCJU4WKMZWcYjj1935yh
- read / pending / call_V2cm8LAHAyFwFnAIYuRSw63
- ../../app/config/matrix-lite.json / completed / call_V2cm8LAHAyFwFnAIYuRSw63
- read / pending / call_R1c8a46i2j7a0jA2npOsfpl
- ../../app/matrix_lite/daemon.py / completed / call_R1c8a46i2j7a0jA2npOsfpl
- apply_patch / pending / call_XPajo7qjuVnPKFPLKwpPNOX
- Success. Updated the following files:
M ../../app/matrix_lite/daemon.py / completed / call_XPajo7qjuVnPKFPLKwpPNOX
- read / pending / call_2G3W8G23PT8WbUb4TErmIMN
- ../../app/matrix_lite/daemon.py / completed / call_2G3W8G23PT8WbUb4TErmIMN
- grep / pending / call_2PiiFvigt0LE7QKnkbBC1Rk
- tool_idle_timeout\s*=|first_event_timeout\s*=|DEFAULT_ACP_TIMEOUT_SECONDS / completed / call_2PiiFvigt0LE7QKnkbBC1Rk
- read / pending / call_OGkMEFjYDFuZnszrhY6FJXo
- ../../app/matrix_lite/daemon.py / completed / call_OGkMEFjYDFuZnszrhY6FJXo
- read / pending / call_DKphxh3l7aJscRURCf34Kdz
- ../../app/matrix_lite/daemon.py / completed / call_DKphxh3l7aJscRURCf34Kdz
- grep / pending / call_Ji8dYFljOdvfmX9c5RmAg6a
- --timeout-ms|timeoutMs|direct_acp_client.mjs / completed / call_Ji8dYFljOdvfmX9c5RmAg6a
- read / pending / call_RybC5dqJyBk25NT4sJfM4dd
- ../../app/scripts/matrix-lite-direct-acp-client.mjs / completed / call_RybC5dqJyBk25NT4sJfM4dd
- read / pending / call_0kWjCjQiCUEt1KBKVF22z0r
- ../../app/scripts/matrix-lite-direct-acp-client.mjs / completed / call_0kWjCjQiCUEt1KBKVF22z0r
- grep / pending / call_qMwIPUoH36o10l1sZVOiP15
- tool idle timeout|timeoutMs|timeoutSeconds|300000|300\)|5 \* 60|300000ms|idle wa / completed / call_qMwIPUoH36o10l1sZVOiP15
- read / pending / call_qPWhhYHTMzlRRzqjFeo5QTP
- ../../app/matrix_lite/daemon.py / completed / call_qPWhhYHTMzlRRzqjFeo5QTP
- read / pending / call_qYmjJj3T2x2C3cUPzsvSPjE
- ../../app/matrix_lite/daemon.py / completed / call_qYmjJj3T2x2C3cUPzsvSPjE
- read / pending / call_FpTUZXdf5MdJxk9wpRUL2Ky
- ../../app/matrix_lite/daemon.py / completed / call_FpTUZXdf5MdJxk9wpRUL2Ky
- read / pending / call_gepfbPznk1E6eibI6jfXewk
- ../../app/config/matrix-lite.json / completed / call_gepfbPznk1E6eibI6jfXewk
- read / pending / call_5KsAhE4s7MN35mgRjZD7SU5

Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 41.2s
Time: model 39.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (40):
- bash / pending / call_bssAfkGPeMqfz3pA4mf1Ukm
- Shows unstaged and staged diff / completed / call_bssAfkGPeMqfz3pA4mf1Ukm
- bash / pending / call_HmkFrYhndTbTg2ZXN9KIMNf
- Shows working tree changes / completed / call_HmkFrYhndTbTg2ZXN9KIMNf
- todowrite / pending / call_RkFkCJU4WKMZWcYjj1935yh
- 0 todos / completed / call_RkFkCJU4WKMZWcYjj1935yh
- read / pending / call_V2cm8LAHAyFwFnAIYuRSw63
- ../../app/config/matrix-lite.json / completed / call_V2cm8LAHAyFwFnAIYuRSw63
- read / pending / call_R1c8a46i2j7a0jA2npOsfpl
- ../../app/matrix_lite/daemon.py / completed / call_R1c8a46i2j7a0jA2npOsfpl
- apply_patch / pending / call_XPajo7qjuVnPKFPLKwpPNOX
- Success. Updated the following files:
M ../../app/matrix_lite/daemon.py / completed / call_XPajo7qjuVnPKFPLKwpPNOX
- read / pending / call_2G3W8G23PT8WbUb4TErmIMN
- ../../app/matrix_lite/daemon.py / completed / call_2G3W8G23PT8WbUb4TErmIMN
- grep / pending / call_2PiiFvigt0LE7QKnkbBC1Rk
- tool_idle_timeout\s*=|first_event_timeout\s*=|DEFAULT_ACP_TIMEOUT_SECONDS / completed / call_2PiiFvigt0LE7QKnkbBC1Rk
- read / pending / call_OGkMEFjYDFuZnszrhY6FJXo
- ../../app/matrix_lite/daemon.py / completed / call_OGkMEFjYDFuZnszrhY6FJXo
- read / pending / call_DKphxh3l7aJscRURCf34Kdz
- ../../app/matrix_lite/daemon.py / completed / call_DKphxh3l7aJscRURCf34Kdz
- grep / pending / call_Ji8dYFljOdvfmX9c5RmAg6a
- --timeout-ms|timeoutMs|direct_acp_client.mjs / completed / call_Ji8dYFljOdvfmX9c5RmAg6a
- read / pending / call_RybC5dqJyBk25NT4sJfM4dd
- ../../app/scripts/matrix-lite-direct-acp-client.mjs / completed / call_RybC5dqJyBk25NT4sJfM4dd
- read / pending / call_0kWjCjQiCUEt1KBKVF22z0r
- ../../app/scripts/matrix-lite-direct-acp-client.mjs / completed / call_0kWjCjQiCUEt1KBKVF22z0r
- grep / pending / call_qMwIPUoH36o10l1sZVOiP15
- tool idle timeout|timeoutMs|timeoutSeconds|300000|300\)|5 \* 60|300000ms|idle wa / completed / call_qMwIPUoH36o10l1sZVOiP15
- read / pending / call_qPWhhYHTMzlRRzqjFeo5QTP
- ../../app/matrix_lite/daemon.py / completed / call_qPWhhYHTMzlRRzqjFeo5QTP
- read / pending / call_qYmjJj3T2x2C3cUPzsvSPjE
- ../../app/matrix_lite/daemon.py / completed / call_qYmjJj3T2x2C3cUPzsvSPjE
- read / pending / call_FpTUZXdf5MdJxk9wpRUL2Ky
- ../../app/matrix_lite/daemon.py / completed / call_FpTUZXdf5MdJxk9wpRUL2Ky
- read / pending / call_gepfbPznk1E6eibI6jfXewk
- ../../app/config/matrix-lite.json / completed / call_gepfbPznk1E6eibI6jfXewk
- read / pending / call_5KsAhE4s7MN35mgRjZD7SU5
- ../../app/matrix_lite/daemon.py / completed / call_5KsAhE4s7MN35mgRjZD7SU5
- read / pending / call_yfjBFavBWJ7vAPLH5DFB6mb
- ../../app/matrix_lite/daemon.py / completed / call_yfjBFavBWJ7vAPLH5DFB6mb

Draft:
Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 42.6s
Time: model 41.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 251.1k o 101 t 75 est $0.6304; p≈2.6ktok/10.2kch
Ctx: direct ACP session 248.9k; active 248.9k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


Right — you’re correct.

I answered too literally from the visible `opencode.json` entries and missed the actual setup: the MCPs are effectively available **through the proxy layer**, with the direct tool schemas hidden to save context.

So the real state is more like:
- **direct MCP entries:** disabled/hidden
- **effective capability via proxy:** still available

That was exactly the kind of discussed-vs-actual-runtime mixup we were talking about earlier.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 43.1s
Time: model 41.0s, overhead 2.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 251.1k o 101 t 75 est $0.6304; p≈2.6ktok/10.2kch
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


Can you actually remember the fact that you do have them available by design? We might add more interesting stuff behind that proxy


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.3kch
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 65
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


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


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.7s
Time: model 5.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.3kch
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66


* 🟡 Working
Stage: direct ACP prompt started (4.4s)
Model: openai/gpt-5.4
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66
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≈2.6ktok/10.3kch
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66


* 🟡 Working
Stage: direct ACP first session update (9.3s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (9.3s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66
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: 17.9s
Time: model 16.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.3kch
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — and this is exactly the kind of thing I should retain as a **runtime capability rule**, not rediscover each time.

The durable version is basically:

- **Some capabilities are intentionally hidden behind the MCP proxy to save context/tool


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 24.0s
Time: model 22.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.6ktok/10.3kch
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — and this is exactly the kind of thing I should retain as a **runtime capability rule**, not rediscover each time.

The durable version is basically:

- **Some capabilities are intentionally hidden behind the MCP proxy to save context/tool-schema overhead.**
- **Disabled direct MCP entries do not necessarily mean the capability is unavailable.**
- Treat proxy-backed tools as **available by design** unless current runtime evidence says otherwise.

So yes, that’s worth remembering


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Yes — and this is exactly the kind of thing I should retain as a **runtime capability rule**, not rediscover each time.

The durable version is basically:

- **Some capabilities are intentionally hidden behind the MCP proxy to save context/tool-schema overhead.**
- **Disabled direct MCP entries do not necessarily mean the capability is unavailable.**
- Treat proxy-backed tools as **available by design** unless current runtime evidence says otherwise.

So yes, that’s worth remembering, especially if you plan to hide more interesting stuff behind the same layer.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 26.7s
Time: model 25.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 220.4k o 113 t 174 cache 6.7k/3% est $0.5553; p≈2.6ktok/10.3kch
Ctx: direct ACP session 251.3k; active 251.3k; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66


Yes — and this is exactly the kind of thing I should retain as a **runtime capability rule**, not rediscover each time.

The durable version is basically:

- **Some capabilities are intentionally hidden behind the MCP proxy to save context/tool-schema overhead.**
- **Disabled direct MCP entries do not necessarily mean the capability is unavailable.**
- Treat proxy-backed tools as **available by design** unless current runtime evidence says otherwise.

So yes, that’s worth remembering, especially if you plan to hide more interesting stuff behind the same layer.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 27.4s
Time: model 25.1s, overhead 2.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 220.4k o 113 t 174 cache 6.7k/3% est $0.5553; p≈2.6ktok/10.3kch
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 22.7%; usable 25.9%; observed turns 34; actual turns 66


Yes, please do it. As I said many of your prompts and files were generated by external agents who lack the context of what's important to remember for seamless workflows


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 66


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 66


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 66


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.3s
Time: overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 66


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 66
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.7s)
Model: openai/gpt-5.4
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.9s
Time: model 5.1s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


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


* 🟡 Working
Stage: direct ACP prompt started (4.7s)
Model: openai/gpt-5.4
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.7s
Time: model 10.9s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* 🟡 Working
Stage: direct ACP first session update (7.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first tool update (7.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- matrix_lite_status_memory_append_candidate / pending / call_peRPZydZwWSZ4tcTSAo3lGk


* 🟡 Working
Stage: direct ACP first visible text (11.4s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.2s
Time: model 16.4s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- matrix_lite_status_memory_append_candidate / pending / call_peRPZydZwWSZ4tcTSAo3lGk
- matrix_lite_status_memory_append_candidate / in_progress / call_peRPZydZwWSZ4tcTSAo3lGk
- tool / completed / call_peRPZydZwWSZ4tcTSAo3lGk

Draft:
Done


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- matrix_lite_status_memory_append_candidate / pending / call_peRPZydZwWSZ4tcTSAo3lGk
- matrix_lite_status_memory_append_candidate / in_progress / call_peRPZydZwWSZ4tcTSAo3lGk
- tool / completed / call_peRPZydZwWSZ4tcTSAo3lGk

Draft:
Done.

What was allowed/result:
- Durable memory append worked
- I added the rule as a memory candidate for later promotion

What I recorded:
- some capabilities are intentionally hidden behind the MCP proxy to save context/tool-schema overhead
- disabled direct MCP entries


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 23.9s
Time: model 22.0s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.0kch
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- matrix_lite_status_memory_append_candidate / pending / call_peRPZydZwWSZ4tcTSAo3lGk
- matrix_lite_status_memory_append_candidate / in_progress / call_peRPZydZwWSZ4tcTSAo3lGk
- tool / completed / call_peRPZydZwWSZ4tcTSAo3lGk

Draft:
Done.

What was allowed/result:
- Durable memory append worked
- I added the rule as a memory candidate for later promotion

What I recorded:
- some capabilities are intentionally hidden behind the MCP proxy to save context/tool-schema overhead
- disabled direct MCP entries do not necessarily mean the capability is unavailable
- proxy-backed tools like search and Playwright should be treated as available by design unless current runtime evidence says otherwise

It was appended here:
- `/home/matrix-lite/workspace


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (3):
- matrix_lite_status_memory_append_candidate / pending / call_peRPZydZwWSZ4tcTSAo3lGk
- matrix_lite_status_memory_append_candidate / in_progress / call_peRPZydZwWSZ4tcTSAo3lGk
- tool / completed / call_peRPZydZwWSZ4tcTSAo3lGk

Draft:
Done.

What was allowed/result:
- Durable memory append worked
- I added the rule as a memory candidate for later promotion

What I recorded:
- some capabilities are intentionally hidden behind the MCP proxy to save context/tool-schema overhead
- disabled direct MCP entries do not necessarily mean the capability is unavailable
- proxy-backed tools like search and Playwright should be treated as available by design unless current runtime evidence says otherwise

It was appended here:
- `/home/matrix-lite/workspace/memory/dreaming/candidates/2026-05-25.md`

So it’s now externalized instead of relying on me to rediscover it.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 30.2s
Time: model 28.3s, overhead 1.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 841 o 133 cache 229.4k/100% est $0.0041; p≈3.0ktok/12.0kch
Ctx: direct ACP session 227.3k; active 220.7k; cache 6.7k/3%; p≈2.6ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


Done.

What was allowed/result:
- Durable memory append worked
- I added the rule as a memory candidate for later promotion

What I recorded:
- some capabilities are intentionally hidden behind the MCP proxy to save context/tool-schema overhead
- disabled direct MCP entries do not necessarily mean the capability is unavailable
- proxy-backed tools like search and Playwright should be treated as available by design unless current runtime evidence says otherwise

It was appended here:
- `/home/matrix-lite/workspace/memory/dreaming/candidates/2026-05-25.md`

So it’s now externalized instead of relying on me to rediscover it.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 30.7s
Time: model 28.3s, overhead 2.4s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 841 o 133 cache 229.4k/100% est $0.0041; p≈3.0ktok/12.0kch
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


Hmm is it really the best place? You don't even directly control if it gets promoted from there. It probably will but still


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.0kch
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* 🟡 Working
Stage: direct ACP load session start (1.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.8s
Time: model 5.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.0kch
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 67


* 🟡 Working
Stage: direct ACP replay drain done (5.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68
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 (5.1s)
Model: openai/gpt-5.4
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.7s
Time: model 10.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.0kch
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


* 🟡 Working
Stage: direct ACP first session update (6.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (6.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
No


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.1s
Time: model 16.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.0kch
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
No, not really — you’re right.

It’s a **reasonable capture point**, but not the best long-term home for a rule that should reliably shape behavior. It’s still one step removed from actual guaranteed use.

Better homes would


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
No, not really — you’re right.

It’s a **reasonable capture point**, but not the best long-term home for a rule that should reliably shape behavior. It’s still one step removed from actual guaranteed use.

Better homes would be:
- the **agent prompt/instruction layer**
- a **durable runtime-capabilities note** that packets/prompts actually read
- possibly the **orientation/handover artifact** if it’s about current workflow assumptions

So the candidate file is


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 24.1s
Time: model 22.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.0kch
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
No, not really — you’re right.

It’s a **reasonable capture point**, but not the best long-term home for a rule that should reliably shape behavior. It’s still one step removed from actual guaranteed use.

Better homes would be:
- the **agent prompt/instruction layer**
- a **durable runtime-capabilities note** that packets/prompts actually read
- possibly the **orientation/handover artifact** if it’s about current workflow assumptions

So the candidate file is more like:
- “don’t lose this meanwhile”

not:
- “this is the canonical place”

You’re right to be dissatisfied with that as the final answer.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 26.5s
Time: model 24.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 226.0k o 136 cache 6.7k/3% est $0.5670; p≈2.8ktok/11.0kch
Ctx: direct ACP session 230.3k; active 974; cache 229.4k/100%; p≈3.0ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


No, not really — you’re right.

It’s a **reasonable capture point**, but not the best long-term home for a rule that should reliably shape behavior. It’s still one step removed from actual guaranteed use.

Better homes would be:
- the **agent prompt/instruction layer**
- a **durable runtime-capabilities note** that packets/prompts actually read
- possibly the **orientation/handover artifact** if it’s about current workflow assumptions

So the candidate file is more like:
- “don’t lose this meanwhile”

not:
- “this is the canonical place”

You’re right to be dissatisfied with that as the final answer.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 27.0s
Time: model 24.7s, overhead 2.3s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 226.0k o 136 cache 6.7k/3% est $0.5670; p≈2.8ktok/11.0kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


Please don't just tell me I am right, be a bit more adversarial and provide feedback and guidance.

Also your agent prompt probably fits, it's more or less constant capability


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.5s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.0s
Time: overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 68
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.6s)
Model: openai/gpt-5.4
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.6s
Time: model 5.0s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


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


* 🟡 Working
Stage: direct ACP prompt started (4.6s)
Model: openai/gpt-5.4
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.6s
Time: model 11.1s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


* 🟡 Working
Stage: direct ACP first session update (11.1s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.1s
Time: model 16.5s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


* 🟡 Working
Stage: direct ACP first visible text (12.7s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


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


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 23.4s
Time: model 21.9s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Fair. I was being too accommodating.

On the substance: **yes, agent prompt is probably the right primary place** — but not because it’s perfect.

My pushback is:
- if we put **every** workflow/capability nuance into the prompt, it turns into


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Fair. I was being too accommodating.

On the substance: **yes, agent prompt is probably the right primary place** — but not because it’s perfect.

My pushback is:
- if we put **every** workflow/capability nuance into the prompt, it turns into sludge
- prompts are for **stable, high-leverage rules**
- capability details that may drift still need some runtime-facing source of truth

So I’d split it like this:

- **agent prompt:**
  “Some tools


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 29.2s
Time: model 27.7s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
Fair. I was being too accommodating.

On the substance: **yes, agent prompt is probably the right primary place** — but not because it’s perfect.

My pushback is:
- if we put **every** workflow/capability nuance into the prompt, it turns into sludge
- prompts are for **stable, high-leverage rules**
- capability details that may drift still need some runtime-facing source of truth

So I’d split it like this:

- **agent prompt:**
  “Some tools/capabilities may be intentionally hidden behind proxy layers to save context. Do not infer unavailability from disabled direct MCP entries alone; verify effective capability before claiming absence.”

- **runtime capability note / source artifact:**
  concrete examples like search,


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 35.2s
Time: model 33.6s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


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

On the substance: **yes, agent prompt is probably the right primary place** — but not because it’s perfect.

My pushback is:
- if we put **every** workflow/capability nuance into the prompt, it turns into sludge
- prompts are for **stable, high-leverage rules**
- capability details that may drift still need some runtime-facing source of truth

So I’d split it like this:

- **agent prompt:**
  “Some tools/capabilities may be intentionally hidden behind proxy layers to save context. Do not infer unavailability from disabled direct MCP entries alone; verify effective capability before claiming absence.”

- **runtime capability note / source artifact:**
  concrete examples like search, Playwright, future hidden tools

Why not only the capability note?
- because then I have to remember to consult it
- and the whole problem here is that I failed at the *reasoning rule*, not just the fact


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
s**
- capability details that may drift still need some runtime-facing source of truth

So I’d split it like this:

- **agent prompt:**
  “Some tools/capabilities may be intentionally hidden behind proxy layers to save context. Do not infer unavailability from disabled direct MCP entries alone; verify effective capability before claiming absence.”

- **runtime capability note / source artifact:**
  concrete examples like search, Playwright, future hidden tools

Why not only the capability note?
- because then I have to remember to consult it
- and the whole problem here is that I failed at the *reasoning rule*, not just the fact

Why not only the prompt?
- because the prompt should teach the rule, not become a giant catalog of exceptions

So my guidance is:
- **put the reasoning rule in the agent prompt**
- **put the concrete current capability examples in a durable capability artifact**


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 41.2s
Time: model 39.6s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Draft:
 I’d split it like this:

- **agent prompt:**
  “Some tools/capabilities may be intentionally hidden behind proxy layers to save context. Do not infer unavailability from disabled direct MCP entries alone; verify effective capability before claiming absence.”

- **runtime capability note / source artifact:**
  concrete examples like search, Playwright, future hidden tools

Why not only the capability note?
- because then I have to remember to consult it
- and the whole problem here is that I failed at the *reasoning rule*, not just the fact

Why not only the prompt?
- because the prompt should teach the rule, not become a giant catalog of exceptions

So my guidance is:
- **put the reasoning rule in the agent prompt**
- **put the concrete current capability examples in a durable capability artifact**

That’s stronger than just tossing it into candidate memory and hoping promotion happens.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 42.6s
Time: model 41.1s, overhead 1.0s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 228.5k o 273 t 59 cache 6.7k/3% est $0.5763; p≈2.8ktok/11.2kch
Ctx: direct ACP session 232.8k; active 226.1k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


Fair. I was being too accommodating.

On the substance: **yes, agent prompt is probably the right primary place** — but not because it’s perfect.

My pushback is:
- if we put **every** workflow/capability nuance into the prompt, it turns into sludge
- prompts are for **stable, high-leverage rules**
- capability details that may drift still need some runtime-facing source of truth

So I’d split it like this:

- **agent prompt:**
  “Some tools/capabilities may be intentionally hidden behind proxy layers to save context. Do not infer unavailability from disabled direct MCP entries alone; verify effective capability before claiming absence.”

- **runtime capability note / source artifact:**
  concrete examples like search, Playwright, future hidden tools

Why not only the capability note?
- because then I have to remember to consult it
- and the whole problem here is that I failed at the *reasoning rule*, not just the fact

Why not only the prompt?
- because the prompt should teach the rule, not become a giant catalog of exceptions

So my guidance is:
- **put the reasoning rule in the agent prompt**
- **put the concrete current capability examples in a durable capability artifact**

That’s stronger than just tossing it into candidate memory and hoping promotion happens.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 43.2s
Time: model 41.1s, overhead 2.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 228.5k o 273 t 59 cache 6.7k/3% est $0.5763; p≈2.8ktok/11.2kch
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 21.7%; usable 24.7%; observed turns 38; actual turns 69


By adversarial I mean not just now but in general when suitable.
For this case it's not enough to not claim absence, you need to actually know that you have them and use liberally whenever needed


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 69


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 69


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 69


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 69


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 69
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.5s)
Model: openai/gpt-5.4
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70


📝 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 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first session update (5.6s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first visible text (5.6s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.6s
Time: model 10.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


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


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

Then the rule is stronger than “don’t assume absence.” It should be more like:

- **Proxy-backed capabilities are part of my normal toolset.**
- I should assume they are **available by design** and use them when appropriate.
-


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 18.5s
Time: model 16.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70


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

Then the rule is stronger than “don’t assume absence.” It should be more like:

- **Proxy-backed capabilities are part of my normal toolset.**
- I should assume they are **available by design** and use them when appropriate.
- The burden is on me to verify **failure**, not to re-derive **availability** each time from visible config.

And on the “adversarial” part: yes, I should do more of that when it helps. Not argumentative for its own sake


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 24.6s
Time: model 22.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.0ktok/12.1kch
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70


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

Then the rule is stronger than “don’t assume absence.” It should be more like:

- **Proxy-backed capabilities are part of my normal toolset.**
- I should assume they are **available by design** and use them when appropriate.
- The burden is on me to verify **failure**, not to re-derive **availability** each time from visible config.

And on the “adversarial” part: yes, I should do more of that when it helps. Not argumentative for its own sake, but willing to say:
- this is the wrong abstraction
- this is a weak place to store it
- this rule is too weak
- this design will fail in practice

In this case, your point is that a mere negative guardrail:


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

Then the rule is stronger than “don’t assume absence.” It should be more like:

- **Proxy-backed capabilities are part of my normal toolset.**
- I should assume they are **available by design** and use them when appropriate.
- The burden is on me to verify **failure**, not to re-derive **availability** each time from visible config.

And on the “adversarial” part: yes, I should do more of that when it helps. Not argumentative for its own sake, but willing to say:
- this is the wrong abstraction
- this is a weak place to store it
- this rule is too weak
- this design will fail in practice

In this case, your point is that a mere negative guardrail:
- “don’t claim absence”

is not enough.

What’s needed is a positive operational rule:
- **treat proxy-hidden tools as real available capabilities and reach for them normally**

That’s a better rule, and it belongs somewhere durable.


* 🟡 Processing result
Stage: model returned
Model: openai/gpt-5.4
Elapsed: 29.7s
Time: model 28.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 238.1k o 212 t 18 est $0.5986; p≈3.0ktok/12.1kch
Ctx: direct ACP session 235.5k; active 228.9k; cache 6.7k/3%; p≈2.8ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70


Good correction.

Then the rule is stronger than “don’t assume absence.” It should be more like:

- **Proxy-backed capabilities are part of my normal toolset.**
- I should assume they are **available by design** and use them when appropriate.
- The burden is on me to verify **failure**, not to re-derive **availability** each time from visible config.

And on the “adversarial” part: yes, I should do more of that when it helps. Not argumentative for its own sake, but willing to say:
- this is the wrong abstraction
- this is a weak place to store it
- this rule is too weak
- this design will fail in practice

In this case, your point is that a mere negative guardrail:
- “don’t claim absence”

is not enough.

What’s needed is a positive operational rule:
- **treat proxy-hidden tools as real available capabilities and reach for them normally**

That’s a better rule, and it belongs somewhere durable.


* 🟢 Done
Stage: final reply sent
Model: openai/gpt-5.4
Elapsed: 30.4s
Time: model 28.0s, overhead 2.4s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: i 238.1k o 212 t 18 est $0.5986; p≈3.0ktok/12.1kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.4%; usable 25.5%; observed turns 41; actual turns 70


Yes please add all of this stuff I think it's generally beneficial


⚪ Received
Stage: queued for agent
Model: openai/gpt-5.4
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 70


* ⚪ Queued
Stage: waiting for conversation turn
Model: openai/gpt-5.4
Elapsed: 0.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 70


* 🟡 Working
Stage: building prompt
Model: openai/gpt-5.4
Elapsed: 0.7s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 70


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 1.1s
Time: overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 70


* 🟡 Working
Stage: direct ACP load session start (1.3s)
Model: openai/gpt-5.4
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 70
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP replay drain done (4.6s)
Model: openai/gpt-5.4
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 6.7s
Time: model 5.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


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


* 🟡 Working
Stage: direct ACP prompt started (4.6s)
Model: openai/gpt-5.4
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 12.3s
Time: model 10.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: direct ACP first session update (7.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: direct ACP first tool update (7.8s after prompt)
Model: openai/gpt-5.4
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 🟡 Working
Stage: streaming direct ACP progress
Model: openai/gpt-5.4
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX


* 📝 Live progress
This is streamed draft/tool progress, not hidden reasoning.
Tools (1):
- todowrite / pending / call_MBeg8QWxNfmPJbHNv45yxmV


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 17.7s
Time: model 16.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 23.1s
Time: model 21.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 28.5s
Time: model 26.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 34.0s
Time: model 32.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 39.5s
Time: model 37.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 44.9s
Time: model 43.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 50.5s
Time: model 48.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 56.1s
Time: model 54.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 61.6s
Time: model 59.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 67.1s
Time: model 65.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 72.5s
Time: model 70.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 78.1s
Time: model 76.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 83.5s
Time: model 81.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 89.0s
Time: model 87.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 94.5s
Time: model 92.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 99.9s
Time: model 98.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 105.3s
Time: model 103.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 110.8s
Time: model 109.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 116.3s
Time: model 114.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 121.8s
Time: model 120.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 127.2s
Time: model 125.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 132.8s
Time: model 131.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 138.2s
Time: model 136.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 143.7s
Time: model 142.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 149.2s
Time: model 147.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 154.7s
Time: model 153.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 160.2s
Time: model 158.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 165.6s
Time: model 163.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 171.2s
Time: model 169.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 176.6s
Time: model 174.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 182.1s
Time: model 180.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 187.7s
Time: model 186.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 193.2s
Time: model 191.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 198.7s
Time: model 197.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 204.2s
Time: model 202.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 209.7s
Time: model 208.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 215.2s
Time: model 213.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 220.7s
Time: model 219.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 226.1s
Time: model 224.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 231.7s
Time: model 230.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 237.1s
Time: model 235.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 242.6s
Time: model 240.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 248.1s
Time: model 246.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 253.5s
Time: model 251.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 259.0s
Time: model 257.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 264.5s
Time: model 262.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 269.9s
Time: model 268.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 275.4s
Time: model 273.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 280.9s
Time: model 279.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 286.4s
Time: model 284.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 292.0s
Time: model 290.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 297.4s
Time: model 295.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 302.9s
Time: model 301.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 308.4s
Time: model 306.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 313.9s
Time: model 312.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 319.4s
Time: model 317.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 324.9s
Time: model 323.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 330.3s
Time: model 328.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 335.8s
Time: model 334.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 341.3s
Time: model 339.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 346.8s
Time: model 345.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 352.4s
Time: model 350.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 357.9s
Time: model 356.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 363.4s
Time: model 361.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 368.9s
Time: model 367.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 374.4s
Time: model 372.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 380.0s
Time: model 378.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 385.4s
Time: model 383.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 391.0s
Time: model 389.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 396.4s
Time: model 394.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 401.9s
Time: model 400.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 407.3s
Time: model 405.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 412.9s
Time: model 411.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 418.4s
Time: model 416.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 423.9s
Time: model 422.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 429.4s
Time: model 427.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 434.9s
Time: model 433.2s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 440.4s
Time: model 438.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 445.8s
Time: model 444.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 451.3s
Time: model 449.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 456.8s
Time: model 455.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 462.3s
Time: model 460.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 467.7s
Time: model 466.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 473.3s
Time: model 471.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 478.8s
Time: model 477.1s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 484.3s
Time: model 482.6s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 489.7s
Time: model 488.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 495.2s
Time: model 493.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 500.7s
Time: model 499.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 506.2s
Time: model 504.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 511.7s
Time: model 510.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 517.2s
Time: model 515.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 522.6s
Time: model 520.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 528.1s
Time: model 526.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 533.7s
Time: model 532.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 539.2s
Time: model 537.5s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 544.7s
Time: model 543.0s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 550.1s
Time: model 548.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 555.6s
Time: model 553.9s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 561.1s
Time: model 559.4s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 566.5s
Time: model 564.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 572.0s
Time: model 570.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 577.5s
Time: model 575.8s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 583.0s
Time: model 581.3s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71


* 🟡 Working
Stage: model running
Model: openai/gpt-5.4
Elapsed: 588.4s
Time: model 586.7s, overhead 1.1s
Backend: ses_1a4838151ffe2RE9g5hXeQ8xwX
Turn: p≈3.1ktok/12.2kch
Ctx: direct ACP session 238.3k; active 238.3k; p≈3.0ktok; ctx 22.7%; usable 25.8%; observed turns 42; actual turns 71