/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_20260129_150110/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: ac680fcf 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 347 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 2026-01-29T15:12:04 +779ms service=default version=1.1.17 args=["run","--print-logs"] opencode INFO 2026-01-29T15:12:04 +2ms service=default directory=/app/input creating instance INFO 2026-01-29T15:12:04 +0ms service=project directory=/app/input fromDirectory INFO 2026-01-29T15:12:04 +22ms service=storage index=0 running migration ERROR 2026-01-29T15:12:04 +12ms service=storage index=0 failed to run migration INFO 2026-01-29T15:12:04 +9ms service=storage index=1 running migration INFO 2026-01-29T15:12:04 +16ms service=default directory=/app/input bootstrapping INFO 2026-01-29T15:12:04 +11ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2026-01-29T15:12:04 +59ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2026-01-29T15:12:04 +0ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2026-01-29T15:12:04 +9ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","@opencode-ai/plugin@1.1.17","--exact"] cwd=/home/cubbi/.config/opencode running INFO 2026-01-29T15:12:05 +766ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) installed @opencode-ai/plugin@1.1.17 3 packages installed [749.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2026-01-29T15:12:05 +2ms 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 2026-01-29T15:12:05 +18ms service=bun code=0 stdout=bun install v1.3.5 (1e86cebd) Checked 3 installs across 4 packages (no changes) [5.00ms] stderr= done INFO 2026-01-29T15:12:05 +16ms service=plugin name=CodexAuthPlugin loading internal plugin INFO 2026-01-29T15:12:05 +4ms service=plugin 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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@0.0.8"] cwd=/home/cubbi/.cache/opencode running INFO 2026-01-29T15:12:05 +688ms service=bun code=0 stdout=bun add v1.3.5 (1e86cebd) + opencode-copilot-auth@0.0.12 installed opencode-anthropic-auth@0.0.8 14 packages installed [673.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done INFO 2026-01-29T15:12:06 +93ms service=bus type=* subscribing INFO 2026-01-29T15:12:06 +1ms service=bus type=session.updated subscribing INFO 2026-01-29T15:12:06 +1ms service=bus type=message.updated subscribing INFO 2026-01-29T15:12:06 +1ms service=bus type=message.part.updated subscribing INFO 2026-01-29T15:12:06 +0ms service=bus type=session.updated subscribing INFO 2026-01-29T15:12:06 +0ms service=bus type=message.updated subscribing INFO 2026-01-29T15:12:06 +0ms service=bus 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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 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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 2026-01-29T15:12:07 +0ms service=permission permission=read pattern=/app/input/test_cases.json action={"permission":"read","pattern":"*","action":"allow"} evaluated INFO 2026-01-29T15:12:07 +35ms service=lsp file=/app/input/test_cases.json touching file INFO 2026-01-29T15:12:07 +4ms service=file.time sessionID=ses_3f5b039deffeY7Irf3OG86085D file=/app/input/test_cases.json read INFO 2026-01-29T15:12:07 +7ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:07 +6ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:07 +24ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:07 +5ms service=bus type=message.part.updated publishing I need to first read the `classifier_prompt.md` and `test_cases.json` files to understand the classification criteria and the data. Then, I will classify each test case and output the results to `results.json`. I will start by reading both files in parallel. INFO 2026-01-29T15:12:07 +10ms service=bus type=message.part.updated publishing |  Read app/input/test_cases.json INFO 2026-01-29T15:12:07 +17ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:07 +4ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:07 +23ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:07 +1ms service=bus type=session.status publishing INFO 2026-01-29T15:12:07 +0ms service=session.prompt step=1 sessionID=ses_3f5b039deffeY7Irf3OG86085D loop INFO 2026-01-29T15:12:07 +18ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:07 +3ms service=llm providerID=openrouter modelID=anthropic/claude-haiku-4.5 sessionID=ses_3f5b039deffeY7Irf3OG86085D small=true agent=title stream INFO 2026-01-29T15:12:07 +2ms service=bus type=session.updated publishing INFO 2026-01-29T15:12:07 +1ms service=bus type=session.diff publishing INFO 2026-01-29T15:12:07 +7ms service=bus type=message.updated publishing INFO 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service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:11 +185ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:12 +223ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:12 +179ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:12 +203ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:12 +223ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:12 +140ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:12 +12ms service=session.summary title=LinkedIn relationship classifier title INFO 2026-01-29T15:12:12 +4ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:12 +174ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:13 +213ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:13 +191ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:13 +192ms service=bus 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INFO 2026-01-29T15:12:22 +0ms service=format name=prettier ext=.json checking INFO 2026-01-29T15:12:22 +2ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:22 +10ms service=format name=oxfmt ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=ocamlformat ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=nixfmt ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=mix ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=latexindent ext=.json checking INFO 2026-01-29T15:12:22 +3ms service=format name=ktlint ext=.json checking INFO 2026-01-29T15:12:22 +2ms service=format name=htmlbeautifier ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=gofmt ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=gleam ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=dart ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=clang-format ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=cargofmt ext=.json checking INFO 2026-01-29T15:12:22 +0ms service=format name=biome ext=.json checking INFO 2026-01-29T15:12:22 +2ms service=bus type=message.part.updated publishing The `classifier_prompt.md` file was not found, but the instructions provided a summary of the key classification guidelines. The `test_cases.json` file contains 18 test cases. I will proceed with the classification based on the provided instructions and the key guidelines. Here is the classification analysis for each case: ### Case 0 - **Interaction:** `candidate_on_primary` (Marcus Johnson on Sarah Chen) - **Shared Context:** Both worked at Stripe (`primary_headline`: VP Eng @ Stripe, `candidate_bio`: Previously at Stripe) - **Comment:** "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?**" - **Evidence:** Strong. Uses informal address ("Sarah!"), references a shared specific memory ("late nights in 2019," "whiteboarding... in the old office," "first version"), and proposes a social, non-work related interaction ("Drinks soon to celebrate?"). - **Classification:** `true` ### Case 1 - **Interaction:** `candidate_on_primary` (Jennifer Walsh on David Park) - **Shared Context:** Jennifer is a Partner at Sequoia, who led David's company's Series B (mentioned in `post_text`). This is a professional, transactional relationship. - **Comment:** "Congrats David! Well deserved." - **Evidence:** Weak. The tone is formal and generic ("Congrats," "Well deserved"). This is the standard, public congratulation expected between an investor and a founder they fund. No personal familiarity is shown. - **Classification:** `false` ### Case 2 - **Interaction:** `candidate_on_primary` (Michael Okonkwo on Rachel Torres) - **Shared Context:** High-level marketing VPs at different, competitive companies (HubSpot and Notion). - **Comment:** "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).**" - **Evidence:** Strong. Uses an informal nickname ("Rach"), references a specific non-work related interaction ("at dinner last month"), and uses a familiar, playful tone ("You were right (as usual)"). - **Classification:** `true` ### Case 3 - **Interaction:** `candidate_on_primary` (Amanda Stevens on James Liu) - **Shared Context:** Both are ML/AI specialists at different, leading tech companies (OpenAI and Netflix). - **Comment:** "Great work! This is exactly what the field needs. Looking forward to reading the full paper." - **Evidence:** Weak. The comment is purely professional, focused on the technical content of the post ("Great work!", "Looking forward to reading the full paper"). No personal or familiar language. - **Classification:** `false` ### Case 4 - **Interaction:** `primary_on_candidate` (Emily Richardson on Tom Bradley) - **Shared Context:** Both worked at Airbnb, and the candidate is leaving. - **Comment:** "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** ����" - **Evidence:** Strong. Uses informal address ("Tom!!"), references a specific shared professional start date ("started the same week back in 2016"), proposes a personal meeting ("Coffee next week"), and mentions a non-work related, ongoing personal plan ("fishing trip promise"). - **Classification:** `true` ### Case 5 - **Interaction:** `candidate_on_primary` (Lisa Zhang on Kevin Patel) - **Shared Context:** Kevin is a Startup Advisor/Ex-CTO, and Lisa is a Founder at a Stealth Startup. Kevin's bio suggests he helps founders. - **Comment:** "Thanks for sharing! This is really helpful advice." - **Evidence:** Weak. The comment is generic and transactional, typical of a professional seeking or receiving advice from a mentor/influencer. No indication of personal relationship. - **Classification:** `false` ### Case 6 - **Interaction:** `candidate_on_primary` (Robert Kim on Olivia Martinez) - **Shared Context:** Both are high-level healthcare professionals (CEO and Chief Medical Officer) attending the same professional conference. - **Comment:** "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??**" - **Evidence:** Strong. Uses a personal nickname ("Liv!"), references a shared professional event and social gathering ("Andreessen party"), proposes a professional-social meeting ("Let's grab lunch"), and most strongly, asks a direct personal, non-work related question about the primary's pet ("how's the new puppy adjusting??"). - **Classification:** `true` ### Case 7 - **Interaction:** `candidate_on_primary` (Sophia Lee on Daniel Brown) - **Shared Context:** Both are Product Leaders at competing social tech companies (Meta and TikTok). - **Comment:** "Congratulations on this milestone! ����" - **Evidence:** Weak. The comment is a generic, formal congratulation on a work anniversary, typical for a public post. No personal details. - **Classification:** `false` ### Case 8 - **Interaction:** `primary_on_candidate` (Chris Anderson on Patricia Nguyen) - **Shared Context:** Chris was Patricia's mentor at LinkedIn (implied by "onboarded at LinkedIn 8 years ago"). - **Comment:** "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!**" - **Evidence:** Strong. High emotional investment ("incredibly proud"), references a long-term, specific shared history ("nervous new grad I onboarded at LinkedIn 8 years ago"), proposes a social meeting ("Dinner's on me"), and mentions/invites the candidate's non-work related partner ("bring Alex, we need to finally meet..."). - **Classification:** `true` ### Case 9 - **Interaction:** `candidate_on_primary` (Maria Santos on Andrew Thompson) - **Shared Context:** Both are involved in climate/sustainability (Investor and Director). - **Comment:** "Very insightful analysis. Would love to connect and discuss further." - **Evidence:** Weak. The comment is purely professional and transactional ("Very insightful," "Would love to connect"). It's a standard networking request. - **Classification:** `false` ### Case 10 - **Interaction:** `candidate_on_primary` (Brian O'Connor on Jessica Williams) - **Shared Context:** Both are Sales leaders (VP Sales and Regional Sales Director). - **Comment:** "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!! ����" - **Evidence:** Strong. Uses informal address ("Jess"), references a specific non-work related shared event ("at your lake house last summer," "on the dock"), and mentions shared non-work related people/plans ("the kids are still talking about it," "We need to do that trip again"). - **Classification:** `true` ### Case 11 - **Interaction:** `candidate_on_primary` (Michelle Davis on Nathan Clark) - **Shared Context:** Both are engineers at competing music streaming companies (Spotify and Apple Music). - **Comment:** "Interesting approach! Looking forward to reading the technical details." - **Evidence:** Weak. The comment is professional, technical, and generic. No personal connection. - **Classification:** `false` ### Case 12 - **Interaction:** `primary_on_candidate` (Laura Chen on Steven Wright) - **Shared Context:** Both worked at Google People Ops ("Google days"). - **Comment:** "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?**" - **Evidence:** Strong. Uses a nickname ("Steve"), references a specific, challenging shared professional experience ("navigate that massive reorg together in 2018"), references ongoing professional collaboration ("frameworks we built together"), and asks a direct personal, non-work related question about the candidate's child ("How's Emma doing at Berkeley btw?"). - **Classification:** `true` ### Case 13 - **Interaction:** `candidate_on_primary` (Angela Foster on Ryan Murphy) - **Shared Context:** Both are DevOps/Platform Engineers at major tech companies (Netflix and Uber). - **Comment:** "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." - **Evidence:** Weak. The comment is purely professional, thanking for and recognizing the value of the technical content. - **Classification:** `false` ### Case 14 - **Interaction:** `candidate_on_primary` (George Adams on Hannah Miller) - **Shared Context:** Hannah used to work at Goldman Sachs (`primary_bio`: Ex-Goldman) where George is a Managing Director. - **Comment:** "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?**" - **Evidence:** Strong. References a specific, past personal-professional interaction ("pitched this idea to me over coffee"), shows a deep emotional/personal connection to her career move, and suggests a non-work related, established social tradition ("our annual catch-up dinner soon? Same spot as always?"). - **Classification:** `true` ### Case 15 - **Interaction:** `candidate_on_primary` (Samantha Brooks on Tyler Robinson) - **Shared Context:** Both are Marketing leads at design/creative software companies (Canva and Adobe). - **Comment:** "Interesting perspective. Would be curious to see some data backing this up." - **Evidence:** Weak. The comment is a professional request for further evidence/data. The tone is formal and non-personal. - **Classification:** `false` ### Case 16 - **Interaction:** `primary_on_candidate` (Diana Rodriguez on William Chang) - **Shared Context:** Both worked at Amazon, where William mentored Diana. - **Comment:** "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! ����" - **Evidence:** Strong. Uses an informal nickname/abbreviation ("Will!!!"), references specific, shared, high-effort professional experience and mentorship ("first mentor," "stayed late for 3 weeks straight helping me debug"), references career-level impact ("You're the reason I became a CTO"), and proposes a social meeting ("Beers next time I'm in Seattle - non-negotiable!"). - **Classification:** `true` ### Case 17 - **Interaction:** `candidate_on_primary` (Nicole Baker on Eric Foster) - **Shared Context:** Both are Product VPs/PMs in collaboration software (Slack and Microsoft Teams). - **Comment:** "Some valid points here. Though I think the answer is more nuanced - it depends on the type of work and team culture." - **Evidence:** Weak. The comment is a generic, polite, professional disagreement/nuance addition to the post's topic. No personal connection. - **Classification:** `false` ### Case 18 - **Interaction:** `candidate_on_primary` (Jason Kim on Alexandra Green) - **Shared Context:** Both are Engineering Directors/Managers who worked at Twitter (`primary_bio`: Ex-Twitter). - **Comment:** "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'**" - **Evidence:** Strong. Uses informal address ("Alex!!"), references a specific, intense shared professional memory ("sleeping in the office for 3 days straight?"), and includes multiple non-work related, personal details ("daughter loved the birthday gift you sent") and references an established social/family relationship ("family dinner soon," "Auntie Alex"). - **Classification:** `true` ### Case 19 - **Interaction:** `candidate_on_primary` (Katherine Liu on Mark Peterson) - **Shared Context:** Both are Data Engineers at competing data companies (Palantir and Databricks). - **Comment:** "Well said. Too many teams get caught up in buzzwords instead of focusing on fundamentals." - **Evidence:** Weak. The comment is purely professional agreement with the post's topic. No personal connection. - **Classification:** `false` ## Final Output Structure I will now write the results to `results.json`. INFO 2026-01-29T15:12:22 +9ms service=file.time sessionID=ses_3f5b039deffeY7Irf3OG86085D file=/app/input/results.json read INFO 2026-01-29T15:12:22 +0ms service=lsp file=/app/input/results.json touching file INFO 2026-01-29T15:12:22 +3ms service=bus type=message.part.updated publishing |  Write app/input/results.json INFO 2026-01-29T15:12:22 +3ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:22 +2ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:22 +8ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:22 +25ms service=bus type=session.status publishing INFO 2026-01-29T15:12:22 +0ms service=session.prompt step=2 sessionID=ses_3f5b039deffeY7Irf3OG86085D loop INFO 2026-01-29T15:12:22 +32ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:22 +1ms service=bus type=session.updated publishing INFO 2026-01-29T15:12:22 +0ms service=bus type=session.diff publishing INFO 2026-01-29T15:12:22 +13ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:22 +0ms service=session.prompt status=started resolveTools INFO 2026-01-29T15:12:22 +3ms service=tool.registry status=started invalid INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started question INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started bash INFO 2026-01-29T15:12:22 +1ms service=bash-tool shell=/usr/bin/bash bash tool using shell INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started read INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started glob INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started grep INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started edit INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started write INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started task INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started webfetch INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started todowrite INFO 2026-01-29T15:12:22 +1ms service=tool.registry status=started todoread INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=started skill INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=2 invalid INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=2 question INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=1 read INFO 2026-01-29T15:12:22 +1ms service=tool.registry status=completed duration=1 glob INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=2 grep INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=2 edit INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=2 write INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=2 webfetch INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=2 todowrite INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=1 todoread INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=3 bash INFO 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=1 skill INFO 2026-01-29T15:12:22 +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 2026-01-29T15:12:22 +1ms 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":"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 2026-01-29T15:12:22 +0ms service=tool.registry status=completed duration=3 task INFO 2026-01-29T15:12:22 +2ms service=session.prompt status=completed duration=9 resolveTools INFO 2026-01-29T15:12:22 +12ms service=session.processor process INFO 2026-01-29T15:12:22 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_3f5b039deffeY7Irf3OG86085D small=false agent=build stream INFO 2026-01-29T15:12:22 +8ms service=bus type=session.status publishing INFO 2026-01-29T15:12:23 +719ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:23 +1ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:23 +415ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:23 +103ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +70ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +276ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +101ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +26ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +10ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +45ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +110ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +142ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +166ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +29ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +11ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +39ms service=bus type=message.part.updated publishing The classifications for all 20 test cases have been determined based on the provided guidelines and saved to `results.json`. ```json { "classifications": [ {"case_index": 0, "knows_each_other": true}, {"case_index": 1, "knows_each_other": false}, {"case_index": 2, "knows_each_other": true}, {"case_index": 3, "knows_each_other": false}, {"case_index": 4, "knows_each_other": true}, {"case_index": 5, "knows_each_other": false}, {"case_index": 6, "knows_each_other": true}, {"case_index": 7, "knows_each_other": false}, {"case_index": 8, "knows_each_other": true}, {"case_index": 9, "knows_each_other": false}, {"case_index": 10, "knows_each_other": true}, {"case_index": 11, "knows_each_other": false}, {"case_index": 12, "knows_each_other": true}, {"case_index": 13, "knows_each_other": false}, {"case_index": 14, "knows_each_other": true}, {"case_index": 15, "knows_each_other": false}, {"case_index": 16, "knows_each_other": true}, {"case_index": 17, "knows_each_other": false}, {"case_index": 18, "knows_each_other": true}, {"case_index": 19, "knows_each_other": false} ] } ``` INFO 2026-01-29T15:12:24 +6ms service=bus type=message.part.updated publishing INFO 2026-01-29T15:12:24 +2ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:24 +10ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:24 +2ms service=bus type=session.status publishing INFO 2026-01-29T15:12:24 +0ms service=session.prompt step=3 sessionID=ses_3f5b039deffeY7Irf3OG86085D loop INFO 2026-01-29T15:12:24 +19ms service=bus type=message.updated publishing INFO 2026-01-29T15:12:25 +5ms service=bus type=session.updated publishing INFO 2026-01-29T15:12:25 +0ms service=bus type=session.diff publishing INFO 2026-01-29T15:12:25 +12ms service=session.prompt sessionID=ses_3f5b039deffeY7Irf3OG86085D exiting loop INFO 2026-01-29T15:12:25 +4ms service=session.compaction pruning INFO 2026-01-29T15:12:25 +10ms service=session.prompt sessionID=ses_3f5b039deffeY7Irf3OG86085D cancel INFO 2026-01-29T15:12:25 +0ms service=bus type=session.status publishing INFO 2026-01-29T15:12:25 +0ms service=bus type=session.idle publishing INFO 2026-01-29T15:12:25 +5ms service=default directory=/app/input disposing instance INFO 2026-01-29T15:12:25 +1ms service=state key=/app/input waiting for state disposal to complete INFO 2026-01-29T15:12:25 +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.