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Using UID: 1000, GID: 1000
Forwarding environment variable OPENROUTER_API_KEY to container
Mounting local directory /home/llmeval/llmeval/runs/run_20251217_150016/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: 3b0ce87c
Image: opencode
Executing command and waiting for completion...
Container will exit after command completes.
Command logs:
Initializing opencode v1.0.0
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--- 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 ---
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|  Read     app/input/test_cases.json
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I will start by reading the `classifier_prompt.md` and `test_cases.json` files to understand the classification criteria and the data I need to process.

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|  Write    app/input/results.json
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The file `classifier_prompt.md` was not found, which contains the exact classification criteria. However, the user provided the "Key Classification Guidelines" in the prompt, which I will use as the criteria. The `test_cases.json` has been read and contains 18 test cases (indices 0 to 17), each with a ground truth `knows_each_other` field which I will ignore to act as an objective classifier.

I will now classify the 18 test cases based on the provided strong and weak evidence guidelines and output the results to `results.json`.

---
**Classification Logic based on Key Guidelines:**

**Case 0: Sarah Chen (VP Eng @ Stripe) & Marcus Johnson (Sr SE @ Coinbase, ex-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:** Explicit reference to **shared experiences** ("late nights in 2019," "whiteboarding the first version," "old office"), **personal familiarity** ("Sarah!"), and a non-work invitation ("Drinks soon to celebrate?").
*   **Classification:** `true`

**Case 1: David Park (Founder & CEO @ Luminary AI) & Jennifer Walsh (Partner @ Sequoia Capital)**
*   **Comment:** "Congrats David! Well deserved."
*   **Evidence:** Generic professional comment. No personalization, specific reference, or non-work related language.
*   **Classification:** `false`

**Case 2: Rachel Torres (CMO @ HubSpot) & Michael Okonkwo (VP Marketing @ 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:** Use of a **personal nickname** ("Rach"), and explicit mention of a **non-work related interaction** ("at dinner last month").
*   **Classification:** `true`

**Case 3: James Liu (ML Eng @ OpenAI) & Amanda Stevens (Data Scientist @ Netflix)**
*   **Comment:** "Great work! This is exactly what the field needs. Looking forward to reading the full paper."
*   **Evidence:** Generic professional comment about the scientific work. Formal tone.
*   **Classification:** `false`

**Case 4: Emily Richardson (Head of Product @ Figma) & Tom Bradley (Design Director @ Airbnb, recently left)**
*   **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:** Reference to **shared experience** ("started the same week back in 2016"), **personal familiarity** ("Tom!!"), non-work related invitation ("Coffee next week"), and mention of a **non-work related interaction** ("fishing trip promise").
*   **Classification:** `true`

**Case 5: Kevin Patel (Startup Advisor, Ex-CTO @ Shopify) & Lisa Zhang (Founder @ Stealth Startup)**
*   **Comment:** "Thanks for sharing! This is really helpful advice."
*   **Evidence:** Generic professional comment. Purely transactional/informational.
*   **Classification:** `false`

**Case 6: Olivia Martinez (CEO @ Bloom Health) & Robert Kim (CMO @ One Medical)**
*   **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:** Use of a **personal nickname** ("Liv!"), mention of an event they both attended (JPM Conference implied, Andreessen party explicitly), non-work invitation ("Let's grab lunch"), and a **direct personal question** ("how's the new puppy adjusting??").
*   **Classification:** `true`

**Case 7: Daniel Brown (Sr PM @ Meta) & Sophia Lee (Product Lead @ TikTok)**
*   **Comment:** "Congratulations on this milestone! ����"
*   **Evidence:** Generic congratulation. No personalization or specific references.
*   **Classification:** `false`

**Case 8: Chris Anderson (Eng Manager @ Databricks) & Patricia Nguyen (Staff Engineer @ Snowflake)**
*   **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:** Reference to a **shared professional history that implies a personal relationship** (Chris was Patricia's onboarder/mentor), **personal familiarity** (full capitalization, multiple exclamation points), **direct personal congratulations**, and non-work invitation mentioning a family member/partner ("bring Alex, we need to finally meet this mysterious partner of yours!").
*   **Classification:** `true`

**Case 9: Andrew Thompson (Founder @ Climate Tech Ventures) & Maria Santos (Sustainability Director @ Patagonia)**
*   **Comment:** "Very insightful analysis. Would love to connect and discuss further."
*   **Evidence:** Generic professional comment. Purely transactional/informational.
*   **Classification:** `false`

**Case 10: Jessica Williams (VP of Sales @ Salesforce) & Brian O'Connor (Regional Sales Director @ DocuSign)**
*   **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:** Use of **personal nickname** ("Jess"), explicit reference to a **shared non-work related interaction/location** ("at your lake house last summer"), and mention of shared family engagement ("the kids are still talking about it").
*   **Classification:** `true`

**Case 11: Nathan Clark (Backend Eng @ Spotify) & Michelle Davis (Software Eng @ Apple Music)**
*   **Comment:** "Interesting approach! Looking forward to reading the technical details."
*   **Evidence:** Generic professional comment. Formal tone.
*   **Classification:** `false`

**Case 12: Laura Chen (CPO @ Stripe) & Steven Wright (Head of Talent @ Plaid)**
*   **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:** Reference to **shared experiences** ("our Google days," "navigate that massive reorg together"), **collaborative language** ("frameworks we built together"), **personal familiarity** ("Steve"), and a **direct personal question** about a family member ("How's Emma doing at Berkeley btw?").
*   **Classification:** `true`

**Case 13: Ryan Murphy (DevOps Eng @ Netflix) & Angela Foster (Platform Engineer @ Uber)**
*   **Comment:** "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings."
*   **Evidence:** Generic professional comment. Purely informational/transactional.
*   **Classification:** `false`

**Case 14: Hannah Miller (Founder & CEO @ FinTech Startup) & George Adams (Managing Director @ Goldman Sachs)**
*   **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:** Reference to **shared, specific conversation/meeting** (pitched the idea "over coffee right before you left GS"), **personal familiarity** in tone, and non-work related invitation referring to an established pattern ("annual catch-up dinner soon? Same spot as always?").
*   **Classification:** `true`

**Case 15: Tyler Robinson (Growth Mkt Lead @ Canva) & Samantha Brooks (Digital Mkt Manager @ Adobe)**
*   **Comment:** "Interesting perspective. Would be curious to see some data backing this up."
*   **Evidence:** Generic professional comment. Purely informational.
*   **Classification:** `false`

**Case 16: Diana Rodriguez (CTO @ E-commerce Startup) & William Chang (Principal Engineer @ Amazon)**
*   **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:** Reference to **shared experiences** and a clear personal history (Will was Diana's first mentor, specific debugging story), **personal familiarity** in tone ("Will!!!"), and non-work invitation ("Beers next time I'm in Seattle - non-negotiable!").
*   **Classification:** `true`

**Case 17: Eric Foster (VP of Product @ Slack) & Nicole Baker (Product Manager @ 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:** Generic professional comment and intellectual disagreement. Formal, distant tone.
*   **Classification:** `false`

**Case 18 (Index 17): Alexandra Green (Dir of Eng @ Airbnb) & Jason Kim (Eng Manager @ Lyft)** - *Note: Based on the line numbers, the final case is index 17 in the 0-indexed array.*
*   **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:** **Personal nickname** ("Alex!!"), reference to a **shared experience** ("crazy launch we did together at Twitter," "sleeping in the office"), and explicit **personal/family references** ("my daughter loved the birthday gift you sent," "family dinner soon," "Auntie Alex").
*   **Classification:** `true`

---
Now I will use the `write` tool to create `results.json`.

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INFO  2025-12-17T15:09:45 +7ms service=session.prompt sessionID=ses_4d3240416ffeTJKYZFrpspD0p3 exiting loop
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--- 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.