/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_20260127_150109/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: 38057a66 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 153 models to OpenCode configuration Added openrouter standard provider with 346 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 2026-01-27T15:06:15 +834ms service=default version=1.1.17 args=["run","--print-logs"] opencode INFO 2026-01-27T15:06:15 +8ms service=default directory=/app/input creating instance INFO 2026-01-27T15:06:15 +0ms service=project directory=/app/input fromDirectory INFO 2026-01-27T15:06:15 +16ms service=storage index=0 running migration ERROR 2026-01-27T15:06:15 +14ms service=storage index=0 failed to run migration INFO 2026-01-27T15:06:15 +5ms service=storage index=1 running migration INFO 2026-01-27T15:06:15 +7ms service=default directory=/app/input bootstrapping INFO 2026-01-27T15:06:15 +4ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2026-01-27T15:06:15 +79ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2026-01-27T15:06:15 +6ms service=config 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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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output","action":"allow"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 2026-01-27T15:06:18 +0ms service=permission permission=read pattern=/app/input/test_cases.json action={"permission":"read","pattern":"*","action":"allow"} evaluated INFO 2026-01-27T15:06:18 +6ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:18 +18ms service=lsp file=/app/input/test_cases.json touching file INFO 2026-01-27T15:06:18 +2ms service=file.time sessionID=ses_400024676ffe0lSZ785w4N8xy3 file=/app/input/test_cases.json read INFO 2026-01-27T15:06:18 +20ms service=bus type=message.part.updated publishing Okay, I understand the task. I need to act as an LLM classifier, read the classification criteria from `classifier_prompt.md` and the test cases from `test_cases.json`, and then classify each case based on whether the two people know each other personally, saving the results to `results.json`. First, I will read the `classifier_prompt.md` and `test_cases.json` files to gather the necessary data. 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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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output","action":"allow"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 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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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output","action":"allow"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 2026-01-27T15:06:18 +2ms service=tool.registry status=completed duration=27 task INFO 2026-01-27T15:06:18 +7ms service=session.prompt status=completed duration=39 resolveTools INFO 2026-01-27T15:06:18 +20ms service=session.processor process INFO 2026-01-27T15:06:18 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_400024676ffe0lSZ785w4N8xy3 small=false agent=build stream INFO 2026-01-27T15:06:18 +16ms service=bus type=session.status publishing INFO 2026-01-27T15:06:19 +1216ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:19 +2ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:19 +28ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:19 +174ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:20 +228ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:20 +133ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:20 +188ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:20 +285ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:20 +197ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:21 +179ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:21 +223ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:21 +353ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:21 +18ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:21 +219ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:22 +174ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:22 +210ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:22 +181ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:22 +177ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:22 +139ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:22 +176ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:23 +179ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:23 +103ms service=session.summary title=LinkedIn relationship classifier title INFO 2026-01-27T15:06:23 +1ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:23 +77ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:23 +141ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:23 +219ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:23 +180ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:24 +159ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:24 +158ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:24 +228ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:24 +174ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:24 +209ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:24 +138ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:25 +209ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:25 +158ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:25 +183ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:25 +157ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:25 +64ms service=session.summary title=LinkedIn relationship classifier title INFO 2026-01-27T15:06:25 +2ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:25 +130ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:26 +257ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:26 +229ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:26 +131ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:26 +79ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:26 +244ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:26 +188ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:27 +145ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:27 +164ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:27 +181ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:27 +323ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:27 +74ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:28 +191ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:28 +147ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:28 +232ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:28 +37ms service=bus type=session.updated publishing INFO 2026-01-27T15:06:29 +1296ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:29 +5ms service=permission permission=edit pattern=app/input/results.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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output","action":"allow"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 2026-01-27T15:06:29 +0ms service=permission permission=edit pattern=app/input/results.json action={"permission":"*","pattern":"*","action":"allow"} evaluated INFO 2026-01-27T15:06:29 +1ms service=bus type=file.edited publishing INFO 2026-01-27T15:06:29 +2ms service=format file=/app/input/results.json formatting INFO 2026-01-27T15:06:29 +4ms service=format name=zig ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=uv format ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=terraform ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=standardrb ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=shfmt ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=rustfmt ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=ruff ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=rubocop ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=air ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=prettier ext=.json checking INFO 2026-01-27T15:06:29 +1ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:29 +1ms service=format name=oxfmt ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=ocamlformat ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=nixfmt ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=mix ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=latexindent ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=ktlint ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=htmlbeautifier ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=gofmt ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=gleam ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=dart ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=clang-format ext=.json checking INFO 2026-01-27T15:06:29 +1ms service=format name=cargofmt ext=.json checking INFO 2026-01-27T15:06:29 +0ms service=format name=biome ext=.json checking INFO 2026-01-27T15:06:29 +8ms service=bus type=message.part.updated publishing The `classifier_prompt.md` file was not found, which contains the specific criteria for classification. Since the task explicitly states: 1. Read the `classifier_prompt.md` file to understand the classification criteria 2. For each test case, determine whether the two people **know each other personally** based on the provided guidelines And also provided "Key Classification Guidelines" in the user instructions: **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 I will proceed by using the **Key Classification Guidelines** provided in the user's request as the primary source of truth, as I cannot access the actual `classifier_prompt.md` file. I have read `test_cases.json`, which contains 18 test cases (indices 0 through 17). I will now classify them. --- ### Classification Analysis | Case Index | Primary Profile | Candidate Profile | Comment Text | Classification | Reasoning | | :---: | :---: | :---: | :---: | :---: | :--- | | **0** | Sarah Chen (VP of Eng) | Marcus Johnson (Sr SE, Ex-Stripe) | "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` | **Strong Evidence:** References a shared, specific, past experience ("late nights in 2019," "whiteboarding... in the old office"). Asks a non-work personal question/invitation ("Drinks soon to celebrate?"). Uses familiar, informal address ("Sarah!"). | | **1** | David Park (Founder & CEO) | Jennifer Walsh (Partner at Sequoia) | "Congrats David! Well deserved." | `false` | **Weak Evidence:** Generic professional congratulation. This is standard behavior between a founder and their lead investor/board member, but contains no evidence of *personal* familiarity outside the professional, transactional relationship. | | **2** | Rachel Torres (CMO) | Michael Okonkwo (VP Marketing) | "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 nickname ("Rach"). References a non-work interaction ("at dinner last month"). Clearly suggests a personal connection outside of professional comments. | | **3** | James Liu (ML Engineer) | Amanda Stevens (Data Scientist) | "Great work! This is exactly what the field needs. Looking forward to reading the full paper." | `false` | **Weak Evidence:** Purely professional and informational exchange. Formal tone, no personalization. | | **4** | Emily Richardson (Head of Product) | Tom Bradley (Design Director) | "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 specific shared experience ("started the same week back in 2016"). Mentions a non-work related interaction/inside joke ("fishing trip promise"). Asks for a personal catch-up ("Coffee next week"). | | **5** | Kevin Patel (Advisor/Ex-CTO) | Lisa Zhang (Founder) | "Thanks for sharing! This is really helpful advice." | `false` | **Weak Evidence:** Generic professional comment. Transactional (seeking/receiving advice). Formal tone, no personalization. | | **6** | Olivia Martinez (CEO) | Robert Kim (CMO) | "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 nickname ("Liv!"). References a specific shared event/meeting context ("Andreessen party"). Asks two direct, non-work related personal questions ("Let's grab lunch," "how's the new puppy adjusting??"). | | **7** | Daniel Brown (Sr PM) | Sophia Lee (Product Lead) | "Congratulations on this milestone! ����" | `false` | **Weak Evidence:** Generic professional congratulation. No personalization or specific references. | | **8** | Chris Anderson (Eng Manager) | Patricia Nguyen (Staff Engineer) | "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 and mentorship role ("nervous new grad I onboarded at LinkedIn 8 years ago"). Uses highly informal and congratulatory tone. Asks for a non-work social gathering, including a question about the candidate's partner ("bring Alex, we need to finally meet..."). | | **9** | Andrew Thompson (Founder) | Maria Santos (Director) | "Very insightful analysis. Would love to connect and discuss further." | `false` | **Weak Evidence:** Purely transactional/professional networking request. Formal tone. | | **10** | Jessica Williams (VP of Sales) | Brian O'Connor (Regional Sales Director) | "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 nickname ("Jess"). References a specific, non-work related shared activity ("at your lake house last summer," "the kids are still talking about it"). Informal, highly personal language. | | **11** | Nathan Clark (Backend Engineer) | Michelle Davis (Software Engineer) | "Interesting approach! Looking forward to reading the technical details." | `false` | **Weak Evidence:** Professional, technical, and informational exchange. No personalization. | | **12** | Laura Chen (CPO) | Steven Wright (Head of Talent) | "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:** Uses a nickname ("Steve"). References a specific shared, high-pressure professional experience ("navigate that massive reorg together in 2018"). Asks a direct personal question about a family member ("How's Emma doing at Berkeley btw?"). | | **13** | Ryan Murphy (DevOps Engineer) | Angela Foster (Platform Engineer) | "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." | `false` | **Weak Evidence:** Generic professional comment. Transactional (bookmarking for reference). Formal tone. | | **14** | Hannah Miller (CEO) | George Adams (Managing Director) | "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 shared, specific meeting/conversation ("pitched this idea to me over coffee"). References an established personal tradition ("annual catch-up dinner soon? Same spot as always?"). Highly familiar and personal tone. | | **15** | Tyler Robinson (Growth Lead) | Samantha Brooks (Digital Manager) | "Interesting perspective. Would be curious to see some data backing this up." | `false` | **Weak Evidence:** Purely professional, technical critique/inquiry. No personalization. | | **16** | Diana Rodriguez (CTO) | William Chang (Principal Engineer) | "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 long-term, specific shared history and mentorship ("first mentor when I joined Amazon in 2015," "stayed late for 3 weeks straight helping me debug..."). Highly personal expression of gratitude ("You're the reason I became a CTO"). Non-work social invitation/command ("Beers next time I'm in Seattle - non-negotiable!"). | | **17** | Alexandra Green (Director of Eng) | Jason Kim (Eng Manager) | "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 nickname ("Alex!!"). References a specific, shared extreme work experience ("sleeping in the office for 3 days straight"). Mentions a specific non-work personal interaction ("daughter loved the birthday gift you sent"). Mentions a familial nickname and suggests a social family meeting ("Auntie Alex," "family dinner soon"). | --- ### Results Output I will now create the `results.json` file. INFO 2026-01-27T15:06:29 +4ms service=file.time sessionID=ses_400024676ffe0lSZ785w4N8xy3 file=/app/input/results.json read INFO 2026-01-27T15:06:29 +0ms service=lsp file=/app/input/results.json touching file INFO 2026-01-27T15:06:29 +3ms service=bus type=message.part.updated publishing |  Write app/input/results.json INFO 2026-01-27T15:06:29 +2ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:29 +1ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:29 +13ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:29 +1ms service=bus type=session.status publishing INFO 2026-01-27T15:06:29 +0ms service=session.prompt step=2 sessionID=ses_400024676ffe0lSZ785w4N8xy3 loop INFO 2026-01-27T15:06:29 +11ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:29 +0ms service=bus type=session.updated publishing INFO 2026-01-27T15:06:29 +1ms service=bus type=session.diff publishing INFO 2026-01-27T15:06:29 +3ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:29 +1ms service=session.prompt status=started resolveTools INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started invalid INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started question INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started bash INFO 2026-01-27T15:06:29 +0ms service=bash-tool shell=/usr/bin/bash bash tool using shell INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started read INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started glob INFO 2026-01-27T15:06:29 +1ms service=tool.registry status=started grep INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started edit INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started write INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started task INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started webfetch INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started todowrite INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started todoread INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=started skill INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=1 invalid INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=1 question INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=1 read INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=1 glob INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 grep INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 edit INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 write INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 webfetch INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 todowrite INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 todoread INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=1 bash INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 skill INFO 2026-01-27T15:06:29 +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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output","action":"allow"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 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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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","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":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output","action":"allow"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate INFO 2026-01-27T15:06:29 +0ms service=tool.registry status=completed duration=0 task INFO 2026-01-27T15:06:29 +8ms service=session.prompt status=completed duration=9 resolveTools INFO 2026-01-27T15:06:29 +11ms service=session.processor process INFO 2026-01-27T15:06:29 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_400024676ffe0lSZ785w4N8xy3 small=false agent=build stream INFO 2026-01-27T15:06:29 +4ms service=bus type=session.status publishing INFO 2026-01-27T15:06:30 +620ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:30 +1ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:30 +55ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:30 +181ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:30 +14ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:30 +179ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:31 +159ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:31 +156ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:31 +274ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:31 +296ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:32 +409ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:32 +76ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:32 +52ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:32 +75ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:32 +42ms service=bus type=message.part.updated publishing The relationship classifications have been determined based on the provided guidelines and saved to `results.json`. The final `results.json` file contains 18 classifications: ```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": true} ] } ``` INFO 2026-01-27T15:06:32 +2ms service=bus type=message.part.updated publishing INFO 2026-01-27T15:06:32 +1ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:32 +2ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:32 +0ms service=bus type=session.status publishing INFO 2026-01-27T15:06:32 +0ms service=session.prompt step=3 sessionID=ses_400024676ffe0lSZ785w4N8xy3 loop INFO 2026-01-27T15:06:32 +20ms service=bus type=message.updated publishing INFO 2026-01-27T15:06:32 +3ms service=bus type=session.updated publishing INFO 2026-01-27T15:06:32 +0ms service=bus type=session.diff publishing INFO 2026-01-27T15:06:32 +0ms service=session.prompt sessionID=ses_400024676ffe0lSZ785w4N8xy3 exiting loop INFO 2026-01-27T15:06:32 +1ms service=session.compaction pruning INFO 2026-01-27T15:06:32 +12ms service=session.prompt sessionID=ses_400024676ffe0lSZ785w4N8xy3 cancel INFO 2026-01-27T15:06:32 +0ms service=bus type=session.status publishing INFO 2026-01-27T15:06:32 +0ms service=bus type=session.idle publishing INFO 2026-01-27T15:06:32 +4ms service=default directory=/app/input disposing instance INFO 2026-01-27T15:06:32 +0ms service=state key=/app/input waiting for state disposal to complete INFO 2026-01-27T15:06:32 +2ms 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.