/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_20251216_223746/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: a33a569f 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 145 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 2025-12-16T22:47:36 +368ms service=default version=1.0.155 args=["run","--print-logs"] opencode INFO 2025-12-16T22:47:36 +1ms service=default directory=/app/input creating instance INFO 2025-12-16T22:47:36 +1ms service=project directory=/app/input fromDirectory INFO 2025-12-16T22:47:36 +11ms service=storage index=0 running migration ERROR 2025-12-16T22:47:36 +2ms service=storage index=0 failed to run migration INFO 2025-12-16T22:47:36 +0ms service=storage index=1 running migration INFO 2025-12-16T22:47:36 +5ms service=default directory=/app/input bootstrapping INFO 2025-12-16T22:47:36 +3ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2025-12-16T22:47:36 +19ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2025-12-16T22:47:36 +1ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2025-12-16T22:47:36 +8ms service=bun cmd=["/opt/node/lib/node_modules/opencode-ai/node_modules/opencode-linux-x64/bin/opencode","add","@opencode-ai/plugin@1.0.155","--exact"] cwd=/home/cubbi/.config/opencode running INFO 2025-12-16T22:47:37 +445ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) installed @opencode-ai/plugin@1.0.155 3 packages installed [433.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2025-12-16T22:47:37 +6ms service=plugin path=opencode-copilot-auth@0.0.9 loading plugin INFO 2025-12-16T22:47:37 +2ms service=bun pkg=opencode-copilot-auth version=0.0.9 installing package using Bun's default registry resolution INFO 2025-12-16T22:47:37 +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-copilot-auth@0.0.9"] cwd=/home/cubbi/.cache/opencode running INFO 2025-12-16T22:47:37 +314ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) installed opencode-copilot-auth@0.0.9 1 package installed [309.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [4] Saved lockfile done INFO 2025-12-16T22:47:37 +4ms service=plugin path=opencode-anthropic-auth@0.0.5 loading plugin INFO 2025-12-16T22:47:37 +0ms service=bun pkg=opencode-anthropic-auth version=0.0.5 installing package using Bun's default registry resolution INFO 2025-12-16T22:47:37 +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@0.0.5"] cwd=/home/cubbi/.cache/opencode running INFO 2025-12-16T22:47:37 +465ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) + opencode-copilot-auth@0.0.9 installed opencode-anthropic-auth@0.0.5 14 packages installed [458.00ms] stderr=Resolving 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publishing INFO 2025-12-16T22:47:38 +1ms service=bus type=session.diff publishing INFO 2025-12-16T22:47:38 +681ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:38 +2ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:38 +25ms service=bus type=message.part.updated publishing ERROR 2025-12-16T22:47:38 +163ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-16T22:47:38 +0ms service=default e=NotFoundError rejection INFO 2025-12-16T22:47:39 +97ms service=session.summary title=Classifying LinkedIn relationship interactions title INFO 2025-12-16T22:47:39 +0ms service=bus type=message.updated publishing INFO 2025-12-16T22:47:39 +8ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:39 +202ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:39 +60ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:39 +1ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:39 +9ms service=bus type=message.part.updated publishing |  Glob app/input INFO 2025-12-16T22:47:39 +18ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:39 +5ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:39 +0ms service=bus type=message.updated publishing INFO 2025-12-16T22:47:39 +8ms service=bus type=message.updated publishing INFO 2025-12-16T22:47:39 +1ms service=bus type=session.status publishing INFO 2025-12-16T22:47:39 +0ms service=session.prompt step=1 sessionID=ses_4d6a6fd4effegUgXpv5bq45JiV loop I see that I need to act as an LLM classifier to determine whether two people know each other personally based on a set of LinkedIn interaction scenarios. I will use the provided variables and follow the classification guidelines implicitly from the prompt. Since I am currently in an empty environment, I first need to get the contents of `classifier_prompt.md` and `test_cases.json`. I will use the `glob` tool to verify the contents of the current directory, and then the `read` tool to read the required files. 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The prompt also mentioned another file, `classifier_prompt.md`, which is not listed in the provided `` or in the result of the `glob` call. I will assume it's also present, or that the essential parts of the classification guidelines were already provided in the prompt. I will read `test_cases.json` first. I will also attempt to read `classifier_prompt.md` just in case, using the `read` tool. I will read both files in parallel. 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type=message.part.updated publishing INFO 2025-12-16T22:47:42 +172ms service=bus type=message.part.updated publishing ERROR 2025-12-16T22:47:42 +236ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-16T22:47:42 +1ms service=default e=NotFoundError rejection INFO 2025-12-16T22:47:42 +76ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:42 +250ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:42 +195ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:43 +338ms service=bus type=message.part.updated publishing ERROR 2025-12-16T22:47:43 +217ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-16T22:47:43 +0ms service=default e=NotFoundError rejection INFO 2025-12-16T22:47:43 +17ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:43 +155ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:43 +211ms 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service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-16T22:47:45 +1ms service=default e=NotFoundError rejection INFO 2025-12-16T22:47:45 +247ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:46 +210ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:46 +178ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:46 +208ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:46 +222ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:46 +179ms service=bus type=message.part.updated publishing ERROR 2025-12-16T22:47:46 +4ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-16T22:47:46 +0ms service=default e=NotFoundError rejection INFO 2025-12-16T22:47:47 +216ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:47 +188ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:47 +187ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:47 +163ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:47 +248ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:48 +183ms service=bus type=message.part.updated publishing ERROR 2025-12-16T22:47:48 +36ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-16T22:47:48 +0ms service=default e=NotFoundError rejection INFO 2025-12-16T22:47:48 +128ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:48 +169ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:48 +232ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:48 +226ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:49 +247ms service=bus type=message.part.updated publishing ERROR 2025-12-16T22:47:49 +129ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-16T22:47:49 +0ms service=default e=NotFoundError rejection INFO 2025-12-16T22:47:50 +986ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:50 +1ms service=bus type=file.edited publishing INFO 2025-12-16T22:47:50 +0ms service=format file=/app/input/results.json formatting INFO 2025-12-16T22:47:50 +1ms service=format name=zig ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=uv format ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=terraform ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=standardrb ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=ruff ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=rubocop ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=air ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=prettier ext=.json checking INFO 2025-12-16T22:47:50 +1ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:50 +2ms service=format name=ocamlformat ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=mix ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=latexindent ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=ktlint ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=htmlbeautifier ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=gofmt ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=gleam ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=dart ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=clang-format ext=.json checking INFO 2025-12-16T22:47:50 +0ms service=format name=biome ext=.json checking INFO 2025-12-16T22:47:50 +2ms service=file.time sessionID=ses_4d6a6fd4effegUgXpv5bq45JiV file=/app/input/results.json read INFO 2025-12-16T22:47:50 +0ms service=lsp file=/app/input/results.json touching file INFO 2025-12-16T22:47:50 +1ms service=bus type=message.part.updated publishing |  Write app/input/results.json INFO 2025-12-16T22:47:50 +36ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:50 +2ms service=bus type=message.part.updated publishing INFO 2025-12-16T22:47:50 +0ms service=bus type=message.updated publishing I have read `test_cases.json`, which contains 18 samples (indices 0 through 17). The file `classifier_prompt.md` was not found, but the key classification guidelines were already provided in the initial prompt. I will use the provided guidelines and the content of `test_cases.json` to perform the classification. The `test_cases.json` file I read only contains 18 cases, even though the instruction said "20 LinkedIn interaction scenarios". I will classify the 18 cases I have. I need to process the cases and output `results.json` in the specified format: ```json { "classifications": [ {"case_index": 0, "knows_each_other": true}, {"case_index": 1, "knows_each_other": false}, ... ] } ``` The file I read already contains the expected `knows_each_other` classification, which indicates this is a validation set. I will disregard the provided `knows_each_other` values in my classification process and act as the classifier using the prompt variables. I will then perform the classification and write the results. Here is the classification based on the criteria: | Case Index | Primary Name | Candidate Name | Interaction Type | Comment Evidence | Classification | Rationale | |---|---|---|---|---|---|---| | **0** | Sarah Chen (VP Eng @ Stripe) | Marcus Johnson (Sr SE @ Coinbase) | candidate_on_primary | "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 shared experience ("late nights... in the old office"), personal familiarity ("Sarah!"), and a personal question/suggestion ("Drinks soon to celebrate?"). The "old office" clearly suggests they worked closely at a previous shared company (Stripe is in Sarah's current, Marcus is ex-Stripe). | | **1** | David Park (Founder & CEO @ Luminary AI) | Jennifer Walsh (Partner @ Sequoia Capital) | candidate_on_primary | "Congrats David! Well deserved." | **false** | **Weak Evidence:** Generic professional congratulation. It's highly likely they know *of* each other (she invested), but the comment shows no personal familiarity. | | **2** | Rachel Torres (CMO @ HubSpot) | Michael Okonkwo (VP Marketing @ Notion) | candidate_on_primary | "Haha Rach, you literally said the same thing at dinner last month and I've been thinking about it ever since. Finally convinced my team to kill our corporate-speak landing pages. You were right (as usual)." | **true** | **Strong Evidence:** Uses a personal nickname ("Rach"), references a non-work related interaction ("dinner last month"), and uses a personal/inside-joke tone ("You were right (as usual)"). | | **3** | James Liu (ML Engineer @ OpenAI) | Amanda Stevens (Data Scientist @ Netflix) | candidate_on_primary | "Great work! This is exactly what the field needs. Looking forward to reading the full paper." | **false** | **Weak Evidence:** Purely professional, informational exchange. Highly generic professional compliment. | | **4** | Emily Richardson (Head of Product @ Figma) | Tom Bradley (Design Director @ Airbnb) | primary_on_candidate | "Tom!! I can't believe it. Remember when we both started the same week back in 2016? You've grown so much as a leader. Coffee next week - I want to hear all about what's next. And yes, I'm still holding you to that fishing trip promise ����" | **true** | **Strong Evidence:** References a shared past experience ("started the same week back in 2016"), a shared non-work activity ("fishing trip promise"), and a concrete plan for a personal meeting ("Coffee next week"). | | **5** | Kevin Patel (Startup Advisor) | Lisa Zhang (Founder @ Stealth) | candidate_on_primary | "Thanks for sharing! This is really helpful advice." | **false** | **Weak Evidence:** Generic professional comment. Transactional and formal tone. | | **6** | Olivia Martinez (CEO @ Bloom Health) | Robert Kim (CMO @ One Medical) | candidate_on_primary | "Liv! Was looking for you at the Andreessen party but couldn't find you in the crowd. Your panel was fantastic - especially the part about patient outcomes. Let's grab lunch when you're back in SF. Also, how's the new puppy adjusting??" | **true** | **Strong Evidence:** Personal nickname ("Liv!"), references a social interaction ("Andreessen party"), suggests a personal meeting ("grab lunch"), and mentions a non-work related personal detail ("how's the new puppy adjusting?"). | | **7** | Daniel Brown (Sr PM @ Meta) | Sophia Lee (Product Lead @ TikTok) | candidate_on_primary | "Congratulations on this milestone! ����" | **false** | **Weak Evidence:** Generic, formal congratulation. | | **8** | Chris Anderson (EM @ Databricks) | Patricia Nguyen (Staff Engineer @ Snowflake) | primary_on_candidate | "PATRICIA!!! ������������ So incredibly proud of you! I've watched you grow from that nervous new grad I onboarded at LinkedIn 8 years ago to the absolute powerhouse you are today. You earned every bit of this. Dinner's on me - and bring Alex, we need to finally meet this mysterious partner of yours!" | **true** | **Strong Evidence:** Uses all caps/emojis for excitement, references a shared history/mentorship ("onboarded at LinkedIn 8 years ago"), uses personal nickname ("PATRICIA!!!"), and references a known personal contact of the candidate ("bring Alex... mysterious partner of yours"). | | **9** | Andrew Thompson (Founder @ Climate Tech Ventures) | Maria Santos (Sustainability Director @ Patagonia) | candidate_on_primary | "Very insightful analysis. Would love to connect and discuss further." | **false** | **Weak Evidence:** Professional interest, clearly transactional and informational exchange ("Would love to connect"). | | **10** | Jessica Williams (VP of Sales @ Salesforce) | Brian O'Connor (Regional Sales Director @ DocuSign) | candidate_on_primary | "There she is!! 142% is insane Jess, but honestly not surprised. Still can't believe you closed that Walmart deal while we were at your lake house last summer - I remember you taking that call on the dock lol. We need to do that trip again, the kids are still talking about it. Congrats!! ����" | **true** | **Strong Evidence:** Personal nickname ("Jess"), references a non-work/personal shared experience ("your lake house last summer"), mentions mutual third parties ("the kids are still talking about it"), and suggests a future personal activity ("We need to do that trip again"). | | **11** | Nathan Clark (Backend Engineer @ Spotify) | Michelle Davis (Software Engineer @ Apple Music) | candidate_on_primary | "Interesting approach! Looking forward to reading the technical details." | **false** | **Weak Evidence:** Purely professional curiosity, generic, formal tone. | | **12** | Laura Chen (CPO @ Stripe) | Steven Wright (Head of Talent @ Plaid) | primary_on_candidate | "Steve, this post brought back so many memories from our Google days! Remember when we had to navigate that massive reorg together in 2018? Your calm under pressure taught me so much. Still using the frameworks we built together. Miss working with you - let's catch up soon. How's Emma doing at Berkeley btw?" | **true** | **Strong Evidence:** Uses a personal nickname ("Steve"), references a shared work experience ("our Google days," "massive reorg together"), suggests a personal meeting ("let's catch up soon"), and asks a direct personal question about a known third party ("How's Emma doing at Berkeley btw?"). | | **13** | Ryan Murphy (DevOps Engineer @ Netflix) | Angela Foster (Platform Engineer @ Uber) | candidate_on_primary | "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." | **false** | **Weak Evidence:** Generic professional comment, transactional. | | **14** | Hannah Miller (CEO @ FinTech Startup) | George Adams (Managing Director @ Goldman Sachs) | candidate_on_primary | "Hannah, watching your journey has been incredible. I still remember when you pitched this idea to me over coffee right before you left GS - I thought you were crazy but secretly wished I had your courage. So proud of everything you've built. Let's do our annual catch-up dinner soon? Same spot as always?" | **true** | **Strong Evidence:** References a specific shared personal/professional moment in the past ("pitched this idea to me over coffee right before you left GS"), uses a strong show of personal pride ("So proud of everything you've built"), and suggests a recurring, personal meeting ("annual catch-up dinner soon? Same spot as always?"). | | **15** | Tyler Robinson (Growth Marketing Lead @ Canva) | Samantha Brooks (Digital Marketing Manager @ Adobe) | candidate_on_primary | "Interesting perspective. Would be curious to see some data backing this up." | **false** | **Weak Evidence:** Professional challenge/request, strictly informational/transactional. | | **16** | Diana Rodriguez (CTO @ E-commerce Startup) | William Chang (Principal Engineer @ Amazon) | primary_on_candidate | "Will!!! 15 years is incredible. You were my first mentor when I joined Amazon in 2015 and honestly you shaped my entire career. Remember when you stayed late for 3 weeks straight helping me debug that inventory system issue? I still use the debugging framework you taught me. You're the reason I became a CTO. Beers next time I'm in Seattle - non-negotiable! ����" | **true** | **Strong Evidence:** Personal nickname ("Will!!!"), references a shared history/mentorship ("my first mentor when I joined Amazon in 2015"), strong personal acknowledgement of impact ("shaped my entire career," "You're the reason I became a CTO"), references a specific shared experience ("stayed late for 3 weeks... helping me debug"), and an insistent suggestion for a personal meeting/drink ("Beers next time I'm in Seattle - non-negotiable!"). | | **17** | Eric Foster (VP of Product @ Slack) | Nicole Baker (Product Manager @ Microsoft Teams) | candidate_on_primary | "Some valid points here. Though I think the answer is more nuanced - it depends on the type of work and team culture." | **false** | **Weak Evidence:** Generic, professional disagreement/commentary. Does not show personal familiarity. | Now I will format this as `results.json` and write the file. INFO 2025-12-16T22:47:50 +4ms service=bus type=message.updated publishing INFO 2025-12-16T22:47:50 +0ms service=bus type=session.status publishing INFO 2025-12-16T22:47:50 +0ms service=session.prompt step=3 sessionID=ses_4d6a6fd4effegUgXpv5bq45JiV loop INFO 2025-12-16T22:47:50 +10ms service=bus type=message.updated publishing INFO 2025-12-16T22:47:50 +0ms service=bus type=message.updated publishing INFO 2025-12-16T22:47:50 +1ms service=bus type=session.updated publishing INFO 2025-12-16T22:47:50 +0ms service=bus type=session.diff publishing INFO 2025-12-16T22:47:50 +1ms service=session.prompt sessionID=ses_4d6a6fd4effegUgXpv5bq45JiV exiting loop INFO 2025-12-16T22:47:50 +1ms service=session.compaction pruning INFO 2025-12-16T22:47:50 +2ms service=session.prompt sessionID=ses_4d6a6fd4effegUgXpv5bq45JiV cancel INFO 2025-12-16T22:47:50 +0ms service=bus type=session.status publishing INFO 2025-12-16T22:47:50 +0ms service=bus type=session.idle publishing INFO 2025-12-16T22:47:50 +1ms service=default directory=/app/input disposing instance INFO 2025-12-16T22:47:50 +1ms service=state key=/app/input waiting for state disposal to complete INFO 2025-12-16T22:47:50 +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. 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