/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_20260216_150140/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: 56b66992 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 169 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 2026-02-16T15:10:50 +783ms service=default version=1.1.51 args=["run","--print-logs"] opencode INFO 2026-02-16T15:10:50 +4ms service=default directory=/app/input creating instance INFO 2026-02-16T15:10:50 +2ms service=project directory=/app/input fromDirectory INFO 2026-02-16T15:10:50 +6ms service=storage index=0 running migration INFO 2026-02-16T15:10:50 +6ms service=storage index=1 running migration INFO 2026-02-16T15:10:50 +5ms service=default directory=/app/input bootstrapping INFO 2026-02-16T15:10:50 +7ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2026-02-16T15:10:50 +49ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2026-02-16T15:10:50 +28ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2026-02-16T15:10:50 +15ms service=bun 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service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","--force","--exact","--cwd","/home/cubbi/.cache/opencode","@gitlab/opencode-gitlab-auth@1.3.2"] cwd=/home/cubbi/.cache/opencode running INFO 2026-02-16T15:10:53 +768ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) + opencode-anthropic-auth@0.0.13 installed @gitlab/opencode-gitlab-auth@1.3.2 77 packages installed [747.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [247] Saved lockfile done INFO 2026-02-16T15:10:53 +122ms service=bus type=* subscribing INFO 2026-02-16T15:10:53 +1ms service=bus type=session.updated subscribing INFO 2026-02-16T15:10:53 +0ms service=bus type=message.updated subscribing INFO 2026-02-16T15:10:53 +0ms service=bus type=message.part.updated subscribing INFO 2026-02-16T15:10:53 +0ms service=bus type=session.updated subscribing INFO 2026-02-16T15:10:53 +0ms service=bus type=message.updated subscribing INFO 2026-02-16T15:10:53 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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 2026-02-16T15:10:55 +1ms service=permission permission=read pattern=/app/input/classifier_prompt.md action={"permission":"read","pattern":"*","action":"allow"} evaluated INFO 2026-02-16T15:10:55 +9ms service=bus type=message.part.updated publishing My task is to classify 20 LinkedIn interaction scenarios from `test_cases.json` based on the provided guidelines in `classifier_prompt.md`. The classification determines whether the two individuals **know each other personally**. First, I need to read the classification prompt (`classifier_prompt.md`) and the test cases (`test_cases.json`). I will use the `read` tool to get the contents of both files.  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ext=.json checking INFO 2026-02-16T15:11:09 +0ms service=format name=dart ext=.json checking INFO 2026-02-16T15:11:09 +0ms service=format name=clang-format ext=.json checking INFO 2026-02-16T15:11:09 +0ms service=format name=biome ext=.json checking INFO 2026-02-16T15:11:09 +1ms service=bus type=message.part.updated publishing  The file `classifier_prompt.md` was not found, but the instructions provided a summary of the "Key Classification Guidelines" (Strong Evidence vs. Weak Evidence), which I will use for classification. I have read the `test_cases.json` file. Now I will go through each of the 20 test cases, apply the classification guidelines, and determine the `knows_each_other` boolean. ### Classification Analysis | Case Index | Primary Name | Candidate Name | Interaction | Evidence in Comment | Classification | Rationale | |---|---|---|---|---|---|---| | **0** | Sarah Chen (Stripe VP Eng) | Marcus Johnson (Coinbase Sr Eng, Ex-Stripe) | candidate_on_primary | "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?" | `true` | **Strong Evidence:** References shared work history ("late nights in 2019"), shared physical space ("the old office"), shared goal ("whiteboarding the first version"), and includes a direct, personal invitation ("Drinks soon to celebrate?"). | | **1** | David Park (Luminary AI CEO) | Jennifer Walsh (Sequoia Partner) | candidate_on_primary | "Congrats David! Well deserved." | `false` | **Weak Evidence:** Generic professional congratulations. While their professional relationship (founder/investor) is close, the comment shows no personal familiarity beyond professional courtesy. | | **2** | Rachel Torres (HubSpot CMO) | Michael Okonkwo (Notion VP Marketing) | candidate_on_primary | "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)." | `true` | **Strong Evidence:** Uses a personal nickname ("Rach"), references a non-work, social interaction ("at dinner last month"), and uses a familiar/joking tone ("You were right (as usual)"). | | **3** | James Liu (OpenAI ML Eng) | Amanda Stevens (Netflix Data Scientist) | candidate_on_primary | "Great work! This is exactly what the field needs. Looking forward to reading the full paper." | `false` | **Weak Evidence:** Generic professional praise and interest. No personal familiarity. | | **4** | Emily Richardson (Figma Head of Product) | Tom Bradley (Airbnb Design Dir) | primary_on_candidate | "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 ����" | `true` | **Strong Evidence:** References a shared, specific work experience ("started the same week back in 2016"), includes a direct invitation ("Coffee next week"), and mentions a non-work, personal interaction/promise ("fishing trip promise"). | | **5** | Kevin Patel (Startup Advisor, Ex-CTO Shopify) | Lisa Zhang (Stealth Startup Founder) | candidate_on_primary | "Thanks for sharing! This is really helpful advice." | `false` | **Weak Evidence:** Purely informational/transactional exchange. No personal connection is suggested. | | **6** | Olivia Martinez (Bloom Health CEO) | Robert Kim (One Medical CMO) | candidate_on_primary | "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??" | `true` | **Strong Evidence:** Uses a personal nickname ("Liv"), references a social event they both attended ("Andreessen party"), includes a direct social invitation ("Let's grab lunch"), and asks a direct personal question ("how's the new puppy adjusting??"). | | **7** | Daniel Brown (Meta Sr PM) | Sophia Lee (TikTok Product Lead) | candidate_on_primary | "Congratulations on this milestone! ����" | `false` | **Weak Evidence:** Generic, formal congratulations. No personal familiarity. | | **8** | Chris Anderson (Databricks Eng Manager) | Patricia Nguyen (Snowflake Staff Eng, Ex-LinkedIn) | primary_on_candidate | "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!" | `true` | **Strong Evidence:** References a specific shared history ("I onboarded at LinkedIn 8 years ago"), includes a strong personal sentiment ("incredibly proud of you"), includes a direct social invitation ("Dinner's on me"), and mentions the candidate's personal partner ("bring Alex"). | | **9** | Andrew Thompson (Climate Tech Ventures Founder) | Maria Santos (Patagonia Sustainability Dir) | candidate_on_primary | "Very insightful analysis. Would love to connect and discuss further." | `false` | **Weak Evidence:** Generic professional interest and a business networking request ("Would love to connect"). No personal connection suggested. | | **10** | Jessica Williams (Salesforce VP Sales) | Brian O'Connor (DocuSign Regional Sales Dir) | candidate_on_primary | "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!! ����" | `true` | **Strong Evidence:** Uses a personal nickname ("Jess"), references a non-work, personal gathering/location ("your lake house last summer"), references a shared memory involving their children ("the kids are still talking about it"), and uses a familiar/excited tone. | | **11** | Nathan Clark (Spotify Backend Eng) | Michelle Davis (Apple Music Software Eng) | candidate_on_primary | "Interesting approach! Looking forward to reading the technical details." | `false` | **Weak Evidence:** Purely professional, technical interest. No personal familiarity. | | **12** | Laura Chen (Stripe CPO, Ex-Google) | Steven Wright (Plaid Head of Talent, Formerly LinkedIn) | primary_on_candidate | "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?" | `true` | **Strong Evidence:** References shared work history/company ("our Google days"), references a specific shared crisis ("massive reorg together in 2018"), uses collaborative language ("frameworks we built together"), includes a direct invitation ("let's catch up soon"), and asks about the candidate's family member ("How's Emma doing at Berkeley btw?"). | | **13** | Ryan Murphy (Netflix DevOps Eng) | Angela Foster (Uber Platform Eng) | candidate_on_primary | "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." | `false` | **Weak Evidence:** Generic professional appreciation and informational follow-up. No personal connection suggested. | | **14** | Hannah Miller (FinTech Startup CEO, Ex-Goldman) | George Adams (Goldman Sachs Managing Dir) | candidate_on_primary | "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?" | `true` | **Strong Evidence:** References a specific shared personal meeting/conversation ("pitched this idea to me over coffee"), uses strong personal encouragement/sentiment, and references an ongoing social tradition ("annual catch-up dinner soon? Same spot as always?"). | | **15** | Tyler Robinson (Canva Growth Mktg Lead) | Samantha Brooks (Adobe Digital Mktg Mgr) | candidate_on_primary | "Interesting perspective. Would be curious to see some data backing this up." | `false` | **Weak Evidence:** Professional disagreement/request for data. Purely informational exchange with a distant tone. | | **16** | Diana Rodriguez (E-commerce Startup CTO, Ex-Amazon) | William Chang (Amazon Principal Eng) | primary_on_candidate | "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! ����" | `true` | **Strong Evidence:** References a specific, impactful shared work history ("my first mentor when I joined Amazon in 2015"), references a specific, detailed shared experience/favor ("stayed late for 3 weeks straight helping me debug that inventory system issue"), uses a strong, personal compliment ("You're the reason I became a CTO"), and includes a direct social invitation ("Beers next time I'm in Seattle - non-negotiable!"). | | **17** | Eric Foster (Slack VP of Product) | Nicole Baker (Microsoft Teams PM) | candidate_on_primary | "Some valid points here. Though I think the answer is more nuanced - it depends on the type of work and team culture." | `false` | **Weak Evidence:** Professional, high-level commentary on a business topic. Distant, formal tone. | | **18** | Alexandra Green (Airbnb Eng Dir, Ex-Twitter) | Jason Kim (Lyft Eng Manager) | candidate_on_primary | "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'" | `true` | **Strong Evidence:** Uses a personal nickname ("Alex"), references a specific, shared, high-effort work experience ("crazy launch we did together at Twitter - remember sleeping in the office"), mentions non-work interaction/gifts ("birthday gift you sent"), and references a strong family connection ("family dinner soon, the kids keep asking about 'Auntie Alex'"). | | **19** | Mark Peterson (Palantir Data Eng Lead) | Katherine Liu (Databricks Sr Data Eng) | candidate_on_primary | "Well said. Too many teams get caught up in buzzwords instead of focusing on fundamentals." | `false` | **Weak Evidence:** Generic professional agreement on a technical/business topic. No personal familiarity. | ### Final Output Structure I will now generate the `results.json` file with the final classifications. **Classification Summary:** `true` cases: 0, 2, 4, 6, 8, 10, 12, 14, 16, 18 (10 cases) `false` cases: 1, 3, 5, 7, 9, 11, 13, 15, 17, 19 (10 cases)  INFO 2026-02-16T15:11:09 +4ms service=bus type=file.watcher.updated publishing INFO 2026-02-16T15:11:09 +1ms service=file.time sessionID=ses_398fede33ffev0c01Bye41SYR7 file=/app/input/results.json read INFO 2026-02-16T15:11:09 +0ms service=lsp file=/app/input/results.json touching file INFO 2026-02-16T15:11:09 +6ms service=bus type=message.part.updated publishing ��� Write results.json Wrote file successfully.  INFO 2026-02-16T15:11:09 +4ms service=bus type=message.part.updated publishing INFO 2026-02-16T15:11:09 +2ms service=bus type=message.updated publishing INFO 2026-02-16T15:11:09 +37ms service=bus type=message.updated publishing INFO 2026-02-16T15:11:09 +2ms service=bus type=session.status publishing INFO 2026-02-16T15:11:09 +0ms service=session.prompt step=3 sessionID=ses_398fede33ffev0c01Bye41SYR7 loop INFO 2026-02-16T15:11:09 +19ms service=bus type=message.updated publishing INFO 2026-02-16T15:11:09 +1ms service=bus type=session.updated publishing INFO 2026-02-16T15:11:09 +1ms service=bus type=session.diff publishing INFO 2026-02-16T15:11:09 +4ms service=bus type=message.updated publishing INFO 2026-02-16T15:11:09 +0ms service=session.prompt status=started resolveTools INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started invalid INFO 2026-02-16T15:11:09 +1ms service=tool.registry status=started question INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started bash INFO 2026-02-16T15:11:09 +0ms service=bash-tool shell=/usr/bin/bash bash tool using shell INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started read INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started glob INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started grep INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started edit INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started write INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started task INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started webfetch INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started todowrite INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=started skill INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=1 invalid INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=0 question INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=0 read INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=0 glob INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=0 grep INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=0 edit INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=0 write INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=0 webfetch INFO 2026-02-16T15:11:09 +1ms service=tool.registry status=completed duration=1 todowrite INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=1 bash INFO 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=1 skill INFO 2026-02-16T15:11:09 +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 2026-02-16T15:11:09 +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 2026-02-16T15:11:09 +0ms service=tool.registry status=completed duration=1 task INFO 2026-02-16T15:11:09 +4ms service=session.prompt status=completed duration=6 resolveTools INFO 2026-02-16T15:11:09 +3ms service=session.processor process INFO 2026-02-16T15:11:09 +0ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_398fede33ffev0c01Bye41SYR7 small=false agent=build mode=primary stream INFO 2026-02-16T15:11:09 +6ms service=bus type=session.status publishing INFO 2026-02-16T15:11:10 +1529ms service=bus type=message.part.updated publishing INFO 2026-02-16T15:11:10 +1ms service=bus type=message.part.updated publishing INFO 2026-02-16T15:11:10 +38ms service=bus type=message.part.updated publishing INFO 2026-02-16T15:11:10 +69ms service=bus type=message.part.updated publishing INFO 2026-02-16T15:11:10 +5ms service=bus type=message.part.updated publishing All 20 test cases have been classified based on the provided guidelines, and the results have been written to `results.json`. The classification is complete.  INFO 2026-02-16T15:11:10 +3ms service=bus type=message.part.updated publishing INFO 2026-02-16T15:11:10 +0ms service=bus type=message.updated publishing INFO 2026-02-16T15:11:10 +6ms service=bus type=message.updated publishing INFO 2026-02-16T15:11:10 +1ms service=bus type=session.status publishing INFO 2026-02-16T15:11:10 +0ms service=session.prompt step=4 sessionID=ses_398fede33ffev0c01Bye41SYR7 loop INFO 2026-02-16T15:11:10 +14ms service=bus type=message.updated publishing INFO 2026-02-16T15:11:10 +0ms service=bus type=session.updated publishing INFO 2026-02-16T15:11:10 +1ms service=bus type=session.diff publishing INFO 2026-02-16T15:11:10 +1ms service=session.prompt sessionID=ses_398fede33ffev0c01Bye41SYR7 exiting loop INFO 2026-02-16T15:11:10 +1ms service=session.compaction pruning INFO 2026-02-16T15:11:10 +2ms service=session.prompt sessionID=ses_398fede33ffev0c01Bye41SYR7 cancel INFO 2026-02-16T15:11:10 +0ms service=bus type=session.status publishing INFO 2026-02-16T15:11:10 +1ms service=bus type=session.idle publishing INFO 2026-02-16T15:11:10 +1ms service=default directory=/app/input disposing instance INFO 2026-02-16T15:11:10 +4ms service=state key=/app/input waiting for state disposal to complete INFO 2026-02-16T15:11:10 +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.