/home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1213: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique. parser = self.make_parser(ctx) /home/llmeval/.local/share/uv/tools/cubbi/lib/python3.12/site-packages/click/core.py:1206: UserWarning: The parameter -m is used more than once. Remove its duplicate as parameters should be unique. self.parse_args(ctx, args) Using UID: 1000, GID: 1000 Forwarding environment variable OPENROUTER_API_KEY to container Mounting local directory /home/llmeval/llmeval/runs/run_20260217_150136/task11_relationship_classifier/openrouter-google-gemini-2.5-flash-preview-09-2025/workspace to /app No project_name provided - skipping configuration directory setup. Session created successfully! Session ID: 0a65871c Image: opencode Executing command and waiting for completion... Container will exit after command completes. Command logs: Initializing opencode v1.0.0 Setting up user 'cubbi' with UID: 1000, GID: 1000 Setting up standard directories Created directory: /app Created directory: /cubbi-config Created directory: /cubbi-config/home Creating /home/cubbi as symlink to /cubbi-config/home Created directory: /cubbi-config/home/.local Copied /root/.local/bin to user directory Running opencode-specific initialization Added litellm custom provider with 170 models to OpenCode configuration Added openrouter standard provider with 342 models to OpenCode configuration Set default model to openrouter/google/gemini-2.5-flash-preview-09-2025 Updated OpenCode configuration at /home/cubbi/.config/opencode/config.json with 2 providers No MCP servers to integrate --- Executing initial command --- Executing user command: if [ -f install.sh ]; then bash install.sh; fi; echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---"; cd input && opencode run --print-logs < ../task.md Executing as cubbi: sh -c if [ -f install.sh ]; then bash install.sh; fi; echo "--- TASK BEGIN ---"; cat task.md; echo "--- TASK END ---"; cd input && opencode run --print-logs < ../task.md --- TASK BEGIN --- # Relationship Classifier Task You are given a relationship classification prompt and a set of test cases. Your task is to act as an LLM classifier and classify each test case according to the provided prompt guidelines. ## Prompt Variables | Variable | Type | Description | | ------------------------------- | ---- | ------------------------------------------------------- | | `primary_name` | str | Name of the primary profile | | `primary_headline` | str | Title/headline of the primary profile | | `primary_bio` | str | Bio of the primary profile | | `candidate_name` | str | Name of the candidate profile | | `candidate_headline` | str | Title/headline of the candidate profile | | `candidate_bio` | str | Bio of the candidate profile | | `interaction_type` | str | Either "candidate_on_primary" or "primary_on_candidate" | | `post_text` | str | The post content (truncated to 500 chars) | | `comment_text` | str | The comment content | | `engagement.totalReactionCount` | int | Number of reactions on the post | | `engagement.totalComments` | int | Number of comments/replies on the post | ## Instructions 1. Read the `classifier_prompt.md` file to understand the classification criteria 2. Read the `test_cases.json` file containing 20 LinkedIn interaction scenarios 3. For each test case, determine whether the two people **know each other personally** based on: - The profiles of both people - The interaction type (who commented on whose post) - The post content - The comment content - The engagement metrics 4. Output your classifications to a file named `results.json` with the following format: ```json { "classifications": [ {"case_index": 0, "knows_each_other": true}, {"case_index": 1, "knows_each_other": false}, ... ] } ``` The `case_index` should match the index of each test case in the `test_cases.json` array (0-indexed). ## Key Classification Guidelines (from the prompt) **Strong Evidence (suggests they know each other):** - Personal familiarity in tone or language - References to shared experiences, meetings, or conversations - Inside jokes or personal nicknames - Mentions of non-work related interactions - Direct personal questions or congratulations - Collaborative language suggesting ongoing relationship **Weak Evidence (suggests they might NOT know each other):** - Generic professional comments ("Great post!", "Thanks for sharing") - Purely transactional or informational exchanges - Formal, distant tone - No personalization or specific references Be objective and evidence-based. Professional courtesy does NOT equal personal connection. PS: You are currently working in an automated system and cannot ask any questions or have back and forth with a user. --- TASK END --- INFO 2026-02-17T15:08:42 +931ms service=default version=1.1.51 args=["run","--print-logs"] opencode INFO 2026-02-17T15:08:42 +6ms service=default directory=/app/input creating instance INFO 2026-02-17T15:08:42 +3ms service=project directory=/app/input fromDirectory INFO 2026-02-17T15:08:42 +22ms service=storage index=0 running migration INFO 2026-02-17T15:08:42 +5ms service=storage index=1 running migration INFO 2026-02-17T15:08:42 +24ms service=default directory=/app/input bootstrapping INFO 2026-02-17T15:08:42 +21ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2026-02-17T15:08:42 +66ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2026-02-17T15:08:42 +5ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2026-02-17T15:08:42 +40ms service=bun 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ruleset=[{"permission":"*","pattern":"*","action":"allow"},{"permission":"doom_loop","pattern":"*","action":"ask"},{"permission":"external_directory","pattern":"*","action":"ask"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","pattern":"*","action":"deny"},{"permission":"plan_enter","pattern":"*","action":"deny"},{"permission":"plan_exit","pattern":"*","action":"deny"},{"permission":"read","pattern":"*","action":"allow"},{"permission":"read","pattern":"*.env","action":"ask"},{"permission":"read","pattern":"*.env.*","action":"ask"},{"permission":"read","pattern":"*.env.example","action":"allow"},{"permission":"question","pattern":"*","action":"allow"},{"permission":"plan_enter","pattern":"*","action":"allow"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","pattern":"*","action":"deny"},{"permission":"plan_enter","pattern":"*","action":"deny"},{"permission":"plan_exit","pattern":"*","action":"deny"}] evaluate INFO 2026-02-17T15:08:47 +0ms service=permission permission=read pattern=/app/input/test_cases.json action={"permission":"read","pattern":"*","action":"allow"} evaluated INFO 2026-02-17T15:08:47 +12ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:08:47 +8ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:08:47 +40ms service=bus type=message.part.updated publishing I need to perform the relationship classification task by first reading the provided prompt and test cases, then classifying each case based on the criteria, and finally writing the results to `results.json`. First, I will use `read` to understand the classification prompt in `classifier_prompt.md` and the test cases in `test_cases.json`.  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evaluate INFO 2026-02-17T15:09:00 +3ms service=permission permission=edit pattern=app/input/results.json action={"permission":"*","pattern":"*","action":"allow"} evaluated INFO 2026-02-17T15:09:00 +0ms service=bus type=file.edited publishing INFO 2026-02-17T15:09:00 +1ms service=format file=/app/input/results.json formatting INFO 2026-02-17T15:09:00 +7ms service=format name=zig ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=uv ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=terraform ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=standardrb ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=shfmt ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=rustfmt ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=ruff ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=rubocop ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=air ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=prettier ext=.json checking INFO 2026-02-17T15:09:00 +1ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:09:00 +9ms service=format name=pint ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=oxfmt ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=ormolu ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=ocamlformat ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=nixfmt ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=mix ext=.json checking INFO 2026-02-17T15:09:00 +1ms service=format name=latexindent ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=ktlint ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=htmlbeautifier ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=gofmt ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=gleam ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=dart ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=clang-format ext=.json checking INFO 2026-02-17T15:09:00 +0ms service=format name=biome ext=.json checking INFO 2026-02-17T15:09:00 +3ms service=bus type=message.part.updated publishing  The `classifier_prompt.md` file was not found, so I will rely on the "Key Classification Guidelines" provided in the task description. The `test_cases.json` file contains 20 test cases, although the output shows indices 0 through 18, which is 19 cases. I will proceed to analyze the 20 cases that are present in the provided file content (lines 1-262). I will assume the provided `test_cases.json` content has 20 cases, as I see a `knows_each_other` field for each. Wait, I only see 19 cases in the provided content (index 0 to 18). I will perform classification for the 19 cases I have and construct the `results.json` file. Here is the analysis for each case: | Index | Primary Name | Candidate Name | Comment Text | Evidence | Classification | |---|---|---|---|---|---| | **0** | Sarah Chen | Marcus Johnson | "Sarah! This is amazing - I still remember those late nights in 2019 when we were whiteboarding the first version of this in the old office. So happy to see it finally ship. Drinks soon to celebrate?" | Strong: Reference to shared past experience ("late nights in 2019... whiteboarding... in the old office"), personal familiarity ("Sarah!"), and suggestion of non-work social interaction ("Drinks soon to celebrate?"). Also, Marcus was "Previously at Stripe" (Sarah's current company). | **true** | | **1** | David Park | Jennifer Walsh | "Congrats David! Well deserved." | Weak: Generic professional congratulations. No reference to shared past or personal detail, despite Jennifer's company (Sequoia) having led David's Series B (a professional relationship). | **false** | | **2** | Rachel Torres | Michael Okonkwo | "Haha Rach, you literally said the same thing at dinner last month and I've been thinking about it ever since. Finally convinced my team to kill our corporate-speak landing pages. You were right (as usual)." | Strong: Personal nickname ("Rach"), reference to a non-work social interaction ("dinner last month"), and shared inside knowledge of an ongoing conversation. | **true** | | **3** | James Liu | Amanda Stevens | "Great work! This is exactly what the field needs. Looking forward to reading the full paper." | Weak: Generic professional praise for academic/technical work. No personal familiarity. | **false** | | **4** | Emily Richardson | Tom Bradley | "Tom!! I can't believe it. Remember when we both started the same week back in 2016? You've grown so much as a leader. Coffee next week - I want to hear all about what's next. And yes, I'm still holding you to that fishing trip promise ����" | Strong: Reference to shared past experience ("started the same week back in 2016"), personal interaction ("Coffee next week"), and personal/non-work reference ("fishing trip promise"). | **true** | | **5** | Kevin Patel | Lisa Zhang | "Thanks for sharing! This is really helpful advice." | Weak: Generic professional thanks/affirmation. No personal familiarity. | **false** | | **6** | Olivia Martinez | Robert Kim | "Liv! Was looking for you at the Andreessen party but couldn't find you in the crowd. Your panel was fantastic - especially the part about patient outcomes. Let's grab lunch when you're back in SF. Also, how's the new puppy adjusting??" | Strong: Personal nickname ("Liv!"), reference to a specific shared event (looking for her at a party), suggestion of a personal catch-up ("grab lunch"), and a direct personal question about a non-work topic ("how's the new puppy adjusting??"). | **true** | | **7** | Daniel Brown | Sophia Lee | "Congratulations on this milestone! ����" | Weak: Generic professional congratulations. | **false** | | **8** | Chris Anderson | Patricia Nguyen | "PATRICIA!!! ������������ So incredibly proud of you! I've watched you grow from that nervous new grad I onboarded at LinkedIn 8 years ago to the absolute powerhouse you are today. You earned every bit of this. Dinner's on me - and bring Alex, we need to finally meet this mysterious partner of yours!" | Strong: Reference to shared past professional relationship that involved mentorship/onboarding, personal tone, and suggestion of non-work social interaction ("Dinner's on me") involving a partner ("bring Alex, we need to finally meet..."). | **true** | | **9** | Andrew Thompson | Maria Santos | "Very insightful analysis. Would love to connect and discuss further." | Weak: Purely transactional/informational exchange ("Would love to connect"). | **false** | | **10** | Jessica Williams | Brian O'Connor | "There she is!! 142% is insane Jess, but honestly not surprised. Still can't believe you closed that Walmart deal while we were at your lake house last summer - I remember you taking that call on the dock lol. We need to do that trip again, the kids are still talking about it. Congrats!! ����" | Strong: Personal nickname ("Jess"), reference to shared non-work activity ("your lake house last summer"), and reference to family/kids. | **true** | | **11** | Nathan Clark | Michelle Davis | "Interesting approach! Looking forward to reading the technical details." | Weak: Generic professional interest/inquiry about technical details. | **false** | | **12** | Laura Chen | Steven Wright | "Steve, this post brought back so many memories from our Google days! Remember when we had to navigate that massive reorg together in 2018? Your calm under pressure taught me so much. Still using the frameworks we built together. Miss working with you - let's catch up soon. How's Emma doing at Berkeley btw?" | Strong: Shared company history ("our Google days"), reference to a shared specific professional experience ("navigate that massive reorg together"), and a direct personal question about family/personal life ("How's Emma doing at Berkeley btw?"). | **true** | | **13** | Ryan Murphy | Angela Foster | "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." | Weak: Generic professional compliment and thanks for sharing. | **false** | | **14** | Hannah Miller | George Adams | "Hannah, watching your journey has been incredible. I still remember when you pitched this idea to me over coffee right before you left GS - I thought you were crazy but secretly wished I had your courage. So proud of everything you've built. Let's do our annual catch-up dinner soon? Same spot as always?" | Strong: Reference to shared specific conversation/meeting ("pitched this idea to me over coffee"), shared institutional history ("right before you left GS"), personal tone, and reference to an established personal routine ("annual catch-up dinner soon? Same spot as always?"). | **true** | | **15** | Tyler Robinson | Samantha Brooks | "Interesting perspective. Would be curious to see some data backing this up." | Weak: Purely informational/professional inquiry. | **false** | | **16** | Diana Rodriguez | William Chang | "Will!!! 15 years is incredible. You were my first mentor when I joined Amazon in 2015 and honestly you shaped my entire career. Remember when you stayed late for 3 weeks straight helping me debug that inventory system issue? I still use the debugging framework you taught me. You're the reason I became a CTO. Beers next time I'm in Seattle - non-negotiable! ����" | Strong: Personal nickname ("Will!!!"), explicit mention of a mentor relationship, reference to a shared specific professional experience ("helping me debug that inventory system issue"), and suggestion of a personal social interaction ("Beers next time I'm in Seattle - non-negotiable!"). | **true** | | **17** | Eric Foster | Nicole Baker | "Some valid points here. Though I think the answer is more nuanced - it depends on the type of work and team culture." | Weak: Purely professional/informational disagreement or nuanced opinion. | **false** | | **18** | Alexandra Green | Jason Kim | "Alex!! So proud of you and the team! This reminds me of that crazy launch we did together at Twitter - remember sleeping in the office for 3 days straight? ���� You've always had this ability to rally people. BTW, my daughter loved the birthday gift you sent - she hasn't stopped playing with it. We need to do family dinner soon, the kids keep asking about 'Auntie Alex'" | Strong: Personal nickname ("Alex!!"), reference to shared past professional experience ("crazy launch we did together at Twitter"), and strong personal/family references ("my daughter loved the birthday gift," "family dinner soon," "Auntie Alex"). | **true** | | **19** | Mark Peterson | Katherine Liu | "Well said. Too many teams get caught up in buzzwords instead of focusing on fundamentals." | Weak: Generic professional agreement. | **false** | Now I will write the classifications to `results.json`. ```json { "classifications": [ {"case_index": 0, "knows_each_other": true}, {"case_index": 1, "knows_each_other": false}, {"case_index": 2, "knows_each_other": true}, {"case_index": 3, "knows_each_other": false}, {"case_index": 4, "knows_each_other": true}, {"case_index": 5, "knows_each_other": false}, {"case_index": 6, "knows_each_other": true}, {"case_index": 7, "knows_each_other": false}, {"case_index": 8, "knows_each_other": true}, {"case_index": 9, "knows_each_other": false}, {"case_index": 10, "knows_each_other": true}, {"case_index": 11, "knows_each_other": false}, {"case_index": 12, "knows_each_other": true}, {"case_index": 13, "knows_each_other": false}, {"case_index": 14, "knows_each_other": true}, {"case_index": 15, "knows_each_other": false}, {"case_index": 16, "knows_each_other": true}, {"case_index": 17, "knows_each_other": false}, {"case_index": 18, "knows_each_other": true}, {"case_index": 19, "knows_each_other": false} ] } ``` The content I read contained 20 cases (index 0 to 19, despite the line numbering error for the last case which starts at 00250 and ends at 00261). I will write the 20 classifications as planned.  INFO 2026-02-17T15:09:00 +5ms service=bus type=file.watcher.updated publishing INFO 2026-02-17T15:09:00 +0ms service=file.time sessionID=ses_393da7529ffeXssanfIEg51PBw file=/app/input/results.json read INFO 2026-02-17T15:09:00 +1ms service=lsp file=/app/input/results.json touching file INFO 2026-02-17T15:09:00 +9ms service=bus type=message.part.updated publishing ��� Write results.json Wrote file successfully.  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bash INFO 2026-02-17T15:09:00 +0ms service=bash-tool shell=/usr/bin/bash bash tool using shell INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=started read INFO 2026-02-17T15:09:00 +1ms service=tool.registry status=started glob INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=started grep INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=started edit INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=started write INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=started task INFO 2026-02-17T15:09:00 +3ms service=tool.registry status=started webfetch INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=started todowrite INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=started skill INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=4 invalid INFO 2026-02-17T15:09:00 +3ms service=tool.registry status=completed duration=7 question INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=7 read INFO 2026-02-17T15:09:00 +1ms service=tool.registry status=completed duration=7 glob INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=7 grep INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=7 edit INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=7 write INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=4 webfetch INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=4 todowrite INFO 2026-02-17T15:09:00 +1ms service=tool.registry status=completed duration=9 bash INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=5 skill INFO 2026-02-17T15:09:00 +0ms service=permission permission=task pattern=general ruleset=[{"permission":"*","action":"allow","pattern":"*"},{"permission":"doom_loop","action":"ask","pattern":"*"},{"permission":"external_directory","pattern":"*","action":"ask"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","action":"deny","pattern":"*"},{"permission":"plan_enter","action":"deny","pattern":"*"},{"permission":"plan_exit","action":"deny","pattern":"*"},{"permission":"read","pattern":"*","action":"allow"},{"permission":"read","pattern":"*.env","action":"ask"},{"permission":"read","pattern":"*.env.*","action":"ask"},{"permission":"read","pattern":"*.env.example","action":"allow"},{"permission":"question","action":"allow","pattern":"*"},{"permission":"plan_enter","action":"allow","pattern":"*"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 2026-02-17T15:09:00 +0ms service=permission permission=task pattern=explore ruleset=[{"permission":"*","action":"allow","pattern":"*"},{"permission":"doom_loop","action":"ask","pattern":"*"},{"permission":"external_directory","pattern":"*","action":"ask"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","action":"deny","pattern":"*"},{"permission":"plan_enter","action":"deny","pattern":"*"},{"permission":"plan_exit","action":"deny","pattern":"*"},{"permission":"read","pattern":"*","action":"allow"},{"permission":"read","pattern":"*.env","action":"ask"},{"permission":"read","pattern":"*.env.*","action":"ask"},{"permission":"read","pattern":"*.env.example","action":"allow"},{"permission":"question","action":"allow","pattern":"*"},{"permission":"plan_enter","action":"allow","pattern":"*"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 2026-02-17T15:09:00 +0ms service=tool.registry status=completed duration=8 task INFO 2026-02-17T15:09:00 +7ms service=session.prompt status=completed duration=17 resolveTools INFO 2026-02-17T15:09:00 +4ms service=session.processor process INFO 2026-02-17T15:09:00 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_393da7529ffeXssanfIEg51PBw small=false agent=build mode=primary stream INFO 2026-02-17T15:09:00 +20ms service=bus type=session.status publishing INFO 2026-02-17T15:09:01 +711ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:09:01 +1ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:09:01 +40ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:09:01 +43ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:09:01 +10ms service=bus type=message.part.updated publishing The classifications have been determined for the 20 test cases based on the provided guidelines, and the results have been written to `results.json`.  INFO 2026-02-17T15:09:01 +2ms service=bus type=message.part.updated publishing INFO 2026-02-17T15:09:01 +1ms service=bus type=message.updated publishing INFO 2026-02-17T15:09:01 +4ms service=bus type=message.updated publishing INFO 2026-02-17T15:09:01 +8ms service=bus type=session.status publishing INFO 2026-02-17T15:09:01 +0ms service=session.prompt step=3 sessionID=ses_393da7529ffeXssanfIEg51PBw loop INFO 2026-02-17T15:09:01 +21ms service=session.prompt sessionID=ses_393da7529ffeXssanfIEg51PBw exiting loop INFO 2026-02-17T15:09:01 +1ms service=session.compaction pruning INFO 2026-02-17T15:09:01 +1ms service=bus type=message.updated publishing INFO 2026-02-17T15:09:01 +1ms service=bus type=session.updated publishing INFO 2026-02-17T15:09:01 +0ms service=bus type=session.diff publishing INFO 2026-02-17T15:09:01 +6ms service=session.prompt sessionID=ses_393da7529ffeXssanfIEg51PBw cancel INFO 2026-02-17T15:09:01 +0ms service=bus type=session.status publishing INFO 2026-02-17T15:09:01 +0ms service=bus type=session.idle publishing INFO 2026-02-17T15:09:01 +1ms service=default directory=/app/input disposing instance INFO 2026-02-17T15:09:01 +1ms service=state key=/app/input waiting for state disposal to complete INFO 2026-02-17T15:09:01 +1ms service=state key=/app/input state disposal completed --- Initial command finished (exit code: 0) --- --- no_shell=true, exiting container without starting shell --- Command execution complete. Container has exited. Session has been cleaned up.