/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_20260207_150128/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: cc36f946 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 154 models to OpenCode configuration Added openrouter standard provider with 345 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 2026-02-07T15:06:03 +850ms service=default version=1.1.51 args=["run","--print-logs"] opencode INFO 2026-02-07T15:06:03 +5ms service=default directory=/app/input creating instance INFO 2026-02-07T15:06:03 +0ms service=project directory=/app/input fromDirectory INFO 2026-02-07T15:06:03 +14ms service=storage index=0 running migration INFO 2026-02-07T15:06:03 +8ms service=storage index=1 running migration INFO 2026-02-07T15:06:03 +9ms service=default directory=/app/input bootstrapping INFO 2026-02-07T15:06:03 +17ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2026-02-07T15:06:03 +81ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2026-02-07T15:06:03 +23ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2026-02-07T15:06:03 +47ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","@opencode-ai/plugin@1.1.51","--exact"] cwd=/home/cubbi/.config/opencode running INFO 2026-02-07T15:06:04 +653ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) installed @opencode-ai/plugin@1.1.51 3 packages installed [625.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2026-02-07T15:06:04 +3ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","install"] cwd=/home/cubbi/.config/opencode running INFO 2026-02-07T15:06:04 +32ms service=bun code=0 stdout=bun install v1.3.5 (1e86cebd) Checked 3 installs across 4 packages (no changes) [10.00ms] stderr= done INFO 2026-02-07T15:06:04 +14ms service=plugin name=CodexAuthPlugin loading internal plugin INFO 2026-02-07T15:06:04 +4ms service=plugin name=CopilotAuthPlugin loading internal plugin INFO 2026-02-07T15:06:04 +1ms service=plugin path=opencode-anthropic-auth@0.0.13 loading plugin INFO 2026-02-07T15:06:04 +2ms service=bun pkg=opencode-anthropic-auth version=0.0.13 installing package using Bun's default registry resolution INFO 2026-02-07T15:06:04 +0ms 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","opencode-anthropic-auth@0.0.13"] cwd=/home/cubbi/.cache/opencode running INFO 2026-02-07T15:06:04 +570ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) installed opencode-anthropic-auth@0.0.13 13 packages installed [554.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done INFO 2026-02-07T15:06:04 +62ms service=plugin path=@gitlab/opencode-gitlab-auth@1.3.2 loading plugin INFO 2026-02-07T15:06:04 +1ms service=bun pkg=@gitlab/opencode-gitlab-auth version=1.3.2 installing package using Bun's default registry resolution INFO 2026-02-07T15:06:04 +0ms 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evaluate INFO 2026-02-07T15:06:07 +1ms service=permission permission=read pattern=/app/input/classifier_prompt.md action={"permission":"read","pattern":"*","action":"allow"} evaluated INFO 2026-02-07T15:06:07 +0ms service=permission permission=read pattern=/app/input/test_cases.json 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 2026-02-07T15:06:07 +0ms service=permission permission=read pattern=/app/input/test_cases.json action={"permission":"read","pattern":"*","action":"allow"} evaluated INFO 2026-02-07T15:06:07 +40ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:07 +1ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:07 +24ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:07 +1ms service=bus type=message.part.updated publishing The first step is to read the `classifier_prompt.md` and `test_cases.json` files to understand the classification criteria and the data to be classified. I will read both files in parallel.  INFO 2026-02-07T15:06:07 +3ms service=lsp file=/app/input/test_cases.json touching file INFO 2026-02-07T15:06:07 +0ms service=file.time sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr file=/app/input/test_cases.json read INFO 2026-02-07T15:06:07 +11ms service=bus type=message.part.updated publishing ��� Read test_cases.json INFO 2026-02-07T15:06:07 +13ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:07 +1ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:07 +23ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:07 +1ms service=bus type=session.status publishing INFO 2026-02-07T15:06:07 +0ms service=session.prompt step=1 sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr loop INFO 2026-02-07T15:06:07 +32ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:07 +1ms service=bus type=session.updated publishing INFO 2026-02-07T15:06:07 +0ms service=bus type=session.diff publishing INFO 2026-02-07T15:06:07 +9ms service=bus 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ext=.json checking INFO 2026-02-07T15:06:21 +0ms service=format name=dart ext=.json checking INFO 2026-02-07T15:06:21 +0ms service=format name=clang-format ext=.json checking INFO 2026-02-07T15:06:21 +0ms service=format name=biome ext=.json checking INFO 2026-02-07T15:06:21 +10ms service=bus type=message.part.updated publishing  The file `classifier_prompt.md` was not found. However, the instructions in the prompt provided the **Key Classification Guidelines** which are sufficient to proceed with the classification task: **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 The `test_cases.json` file contains 18 test cases (index 0 to 17), not 20 as stated in the instructions, but I will classify all provided cases. The file structure shows the ground truth (`knows_each_other`) which I will ignore to act as the classifier, and then output the final classifications. I will now analyze each case and determine the classification. ### Case Analysis | Index | `primary_name` | `candidate_name` | `comment_text` | Classification Decision | | :---: | :---: | :---: | :---: | :--- | | **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?" | **True**. The comment uses a nickname ("Sarah!"). It references a specific, shared past event ("late nights in 2019," "whiteboarding... in the old office") and includes a direct personal invitation ("Drinks soon to celebrate?"). This is strong evidence of a personal/professional relationship. | | **1** | David Park | Jennifer Walsh | "Congrats David! Well deserved." | **False**. This is a generic, professional congratulation. It lacks any specific references or personal tone. It's a typical comment from an investor (Walsh, Sequoia) to a founder (Park, Luminary AI) they just funded. | | **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)." | **True**. The comment uses a nickname ("Rach"). It references a specific non-work-related interaction ("at dinner last month"). This is strong evidence of a personal connection. | | **3** | James Liu | Amanda Stevens | "Great work! This is exactly what the field needs. Looking forward to reading the full paper." | **False**. The tone is purely professional and informational. It's a standard compliment on a technical post without any personalization. | | **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 ����" | **True**. The comment references a shared historical event ("started the same week back in 2016"), includes a direct personal invitation ("Coffee next week"), and mentions a non-work-related interaction/inside joke ("fishing trip promise"). This is strong evidence. | | **5** | Kevin Patel | Lisa Zhang | "Thanks for sharing! This is really helpful advice." | **False**. This is a purely generic and transactional comment ("Thanks for sharing!"). No personalization or specific references. | | **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??" | **True**. The comment uses a nickname ("Liv!"). It references a non-work-related interaction ("Andreessen party") and asks a direct personal question ("how's the new puppy adjusting??"). This is strong evidence. | | **7** | Daniel Brown | Sophia Lee | "Congratulations on this milestone! ����" | **False**. This is a generic congratulation on a professional milestone (5 years at Meta). There is no personal or specific reference. | | **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!" | **True**. The comment references a specific shared work history ("new grad I onboarded at LinkedIn 8 years ago"). It includes a direct personal invitation and mentions the candidate's non-work-related partner ("bring Alex, we need to finally meet..."). This is strong evidence. | | **9** | Andrew Thompson | Maria Santos | "Very insightful analysis. Would love to connect and discuss further." | **False**. This is a purely transactional, networking-style comment ("Would love to connect"). It lacks any personal familiarity. | | **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!! ����" | **True**. The comment uses a nickname ("Jess"). It references a specific non-work-related event ("at your lake house last summer") which included family ("the kids are still talking about it"). This is strong evidence. | | **11** | Nathan Clark | Michelle Davis | "Interesting approach! Looking forward to reading the technical details." | **False**. This is a purely professional and generic technical comment. No personalization. | | **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?" | **True**. The comment references shared work history and challenges ("our Google days," "massive reorg together in 2018," "frameworks we built together"). It includes a direct personal question ("How's Emma doing at Berkeley btw?"). This is strong evidence. | | **13** | Ryan Murphy | Angela Foster | "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." | **False**. This is a purely professional and transactional comment ("Thanks for sharing your learnings"). No personalization. | | **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?" | **True**. The comment references a specific, personal past conversation/meeting ("pitched this idea to me over coffee"). It suggests an established, non-work-specific routine ("annual catch-up dinner soon? Same spot as always?"). This is strong evidence. | | **15** | Tyler Robinson | Samantha Brooks | "Interesting perspective. Would be curious to see some data backing this up." | **False**. This is a professional critique/follow-up on a business post. It maintains a distant, formal tone. | | **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! ����" | **True**. The comment uses a nickname ("Will!!!"). It references specific shared work history ("my first mentor," "stayed late for 3 weeks straight helping me debug"). It includes a direct personal invitation ("Beers next time I'm in Seattle - non-negotiable! ����"). This is strong evidence. | | **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." | **False**. This is a purely professional, high-level disagreement/nuance on a business post. It lacks any personal familiarity. | | **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'" | **True**. The comment uses a nickname ("Alex!!"). It references shared work experience ("launch we did together at Twitter"). Crucially, it mentions a non-work, family-related interaction ("my daughter loved the birthday gift you sent," "family dinner soon," "Auntie Alex"). This is strong evidence. | | **19** | Mark Peterson | Katherine Liu | "Well said. Too many teams get caught up in buzzwords instead of focusing on fundamentals." | **False**. This is a generic, professional agreement on a technical post. No personalization or specific references. | ### Final Classification | Case Index | `knows_each_other` | | :--------: | :----------------: | | 0 | true | | 1 | false | | 2 | true | | 3 | false | | 4 | true | | 5 | false | | 6 | true | | 7 | false | | 8 | true | | 9 | false | | 10 | true | | 11 | false | | 12 | true | | 13 | false | | 14 | true | | 15 | false | | 16 | true | | 17 | false | | 18 | true | | 19 | false | I will now write the results to `results.json`. The original `test_cases.json` only contained 18 entries, but the prompt requested 20. Looking closer at the provided content: lines 1-261 in `test_cases.json` contain 20 JSON objects (from index 0 to 19). The line numbers in my previous read output are misleading due to truncation. I will proceed with 20 classifications as derived above. Wait, the provided `test_cases.json` is: - Index 0: Sarah Chen / Marcus Johnson - Index 1: David Park / Jennifer Walsh - Index 2: Rachel Torres / Michael Okonkwo - Index 3: James Liu / Amanda Stevens - Index 4: Emily Richardson / Tom Bradley - Index 5: Kevin Patel / Lisa Zhang - Index 6: Olivia Martinez / Robert Kim - Index 7: Daniel Brown / Sophia Lee - Index 8: Chris Anderson / Patricia Nguyen - Index 9: Andrew Thompson / Maria Santos - Index 10: Jessica Williams / Brian O'Connor - Index 11: Nathan Clark / Michelle Davis - Index 12: Laura Chen / Steven Wright - Index 13: Ryan Murphy / Angela Foster - Index 14: Hannah Miller / George Adams - Index 15: Tyler Robinson / Samantha Brooks - Index 16: Diana Rodriguez / William Chang - Index 17: Eric Foster / Nicole Baker - Index 18: Alexandra Green / Jason Kim - Index 19: Mark Peterson / Katherine Liu There are exactly 20 cases (0 through 19). My analysis above is correct and covers all 20 cases. Final structure for `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} ] } ```  INFO 2026-02-07T15:06:21 +3ms service=bus type=file.watcher.updated publishing INFO 2026-02-07T15:06:21 +0ms service=file.time sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr file=/app/input/results.json read INFO 2026-02-07T15:06:21 +0ms service=lsp file=/app/input/results.json touching file INFO 2026-02-07T15:06:21 +4ms service=bus type=message.part.updated publishing ��� Write results.json Wrote file successfully.  INFO 2026-02-07T15:06:21 +4ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:21 +1ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:21 +12ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:21 +0ms service=bus type=session.status publishing INFO 2026-02-07T15:06:21 +0ms service=session.prompt step=2 sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr loop INFO 2026-02-07T15:06:21 +5ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:21 +1ms service=bus type=session.updated publishing INFO 2026-02-07T15:06:21 +0ms service=bus type=session.diff publishing INFO 2026-02-07T15:06:21 +12ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:21 +1ms service=session.prompt status=started resolveTools INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started invalid INFO 2026-02-07T15:06:21 +1ms service=tool.registry status=started question INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started bash INFO 2026-02-07T15:06:21 +0ms service=bash-tool shell=/usr/bin/bash bash tool using shell INFO 2026-02-07T15:06:21 +2ms service=tool.registry status=started read INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started glob INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started grep INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started edit INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started write INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started task INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started webfetch INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started todowrite INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=started skill INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=3 invalid INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=2 question INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=0 read INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=0 glob INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=0 grep INFO 2026-02-07T15:06:21 +1ms service=tool.registry status=completed duration=1 edit INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=1 write INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=1 webfetch INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=1 todowrite INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=3 bash INFO 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=1 skill INFO 2026-02-07T15:06:21 +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 2026-02-07T15:06:21 +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 2026-02-07T15:06:21 +0ms service=tool.registry status=completed duration=1 task INFO 2026-02-07T15:06:21 +5ms service=session.prompt status=completed duration=9 resolveTools INFO 2026-02-07T15:06:21 +32ms service=session.processor process INFO 2026-02-07T15:06:21 +0ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr small=false agent=build mode=primary stream INFO 2026-02-07T15:06:21 +5ms service=bus type=session.status publishing INFO 2026-02-07T15:06:22 +543ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:22 +2ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:22 +37ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:22 +36ms service=bus type=message.part.updated publishing The relationship classifications for the 20 test cases have been completed and saved to `results.json`.  INFO 2026-02-07T15:06:22 +7ms service=bus type=message.part.updated publishing INFO 2026-02-07T15:06:22 +1ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:22 +14ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:22 +0ms service=bus type=session.status publishing INFO 2026-02-07T15:06:22 +0ms service=session.prompt step=3 sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr loop INFO 2026-02-07T15:06:22 +32ms service=bus type=message.updated publishing INFO 2026-02-07T15:06:22 +2ms service=bus type=session.updated publishing INFO 2026-02-07T15:06:22 +2ms service=bus type=session.diff publishing INFO 2026-02-07T15:06:22 +12ms service=session.prompt sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr exiting loop INFO 2026-02-07T15:06:22 +2ms service=session.compaction pruning INFO 2026-02-07T15:06:22 +2ms service=session.prompt sessionID=ses_3c75c7d76ffeDW3Y7HV4LuWstr cancel INFO 2026-02-07T15:06:22 +0ms service=bus type=session.status publishing INFO 2026-02-07T15:06:22 +1ms service=bus type=session.idle publishing INFO 2026-02-07T15:06:22 +4ms service=default directory=/app/input disposing instance INFO 2026-02-07T15:06:22 +1ms service=state key=/app/input waiting for state disposal to complete INFO 2026-02-07T15:06:22 +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.