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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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��� Write results.json
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First, I will search for the content of `classifier_prompt.md` to understand the classification criteria. Since the first read failed, I will assume the file content is available via the second read, which contained the test cases, and use the information provided in the prompt description for the classification guidelines.

The key classification guidelines I will use are:
**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 now classify the 13 test cases provided in `test_cases.json`.

**Classification Analysis:**

1.  **Case 0:** `comment_text` has "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?". **Strong evidence** (shared specific past experience, personal greeting, social invitation). $\rightarrow$ **true**
2.  **Case 1:** `comment_text` is "Congrats David! Well deserved." **Weak evidence** (generic professional congratulations). $\rightarrow$ **false**
3.  **Case 2:** `comment_text` has "Haha Rach, you literally said the same thing at dinner last month... You were right (as usual)." **Strong evidence** (reference to a shared recent non-work meeting, personal nickname/familiarity). $\rightarrow$ **true**
4.  **Case 3:** `comment_text` is "Great work! This is exactly what the field needs. Looking forward to reading the full paper." **Weak evidence** (generic professional praise). $\rightarrow$ **false**
5.  **Case 5:** `comment_text` mentions "fishing trip promise ����" and asks about him leaving Airbnb. **Strong evidence** (reference to a personal, non-work promise, social invitation). $\rightarrow$ **true**
6.  **Case 6:** `comment_text` is "Thanks for sharing! This is really helpful advice." **Weak evidence** (generic professional acknowledgement). $\rightarrow$ **false**
7.  **Case 7:** `comment_text` mentions a party, asks about the "new puppy," and suggests lunch. **Strong evidence** (reference to a specific social event, asking about a pet, social invitation). $\rightarrow$ **true**
8.  **Case 8:** `comment_text` is "Congratulations on this milestone! ����" **Weak evidence** (generic professional congratulations). $\rightarrow$ **false**
9.  **Case 9:** `comment_text` refers to onboarding the candidate 8 years ago, calls her a "powerhouse," and plans a dinner inviting a third person ("Alex"). **Strong evidence** (shared long-term work history, personal context). $\rightarrow$ **true**
10. **Case 10:** `comment_text` is "Very insightful analysis. Would love to connect and discuss further." **Weak evidence** (formal offer to connect for professional discussion). $\rightarrow$ **false**
11. **Case 11:** `comment_text` references closing a deal while at the "lake house last summer," mentions the kids, and suggests another trip. **Strong evidence** (reference to a shared non-work vacation/location, family context). $\rightarrow$ **true**
12. **Case 12:** `comment_text` is "Interesting approach! Looking forward to reading the technical details." **Weak evidence** (generic professional comment on a technical post). $\rightarrow$ **false**
13. **Case 13:** `comment_text` references a specific past situation ("reorg together in 2018"), mentions the primary's partner ("Alex"), and asks about the candidate's daughter ("Emma"). **Strong evidence** (shared specific work challenge, asking about family). $\rightarrow$ **true**
14. **Case 14:** `comment_text` is "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." **Weak evidence** (generic professional acknowledgement). $\rightarrow$ **false** (Note: This is case index 11 in the file, but I'll re-index for clarity below.)
15. **Case 15:** (Case 12 in list, Case 13 in file): `comment_text` is "Well said. Too many teams get caught up in buzzwords instead of focusing on fundamentals." **Weak evidence** (generic agreement on a technical topic). $\rightarrow$ **false**

Revisiting the indices based on the provided file structure (0-indexed):

| Case Index | Primary Name | Candidate Name | Comment Snippet | Knows Each Other | Rationale |
| :---: | :--- | :--- | :--- | :---: | :--- |
| 0 | Sarah Chen | Marcus Johnson | "remember those late nights in 2019 when we were whiteboarding..." | true | Shared specific past experience, social invite. |
| 1 | David Park | Jennifer Walsh | "Congrats David! Well deserved." | false | Generic professional praise. |
| 2 | Rachel Torres | Michael Okonkwo | "said the same thing at dinner last month... You were right" | true | Reference to shared recent non-work meeting. |
| 3 | James Liu | Amanda Stevens | "Great work! This is exactly what the field needs." | false | Generic professional praise. |
| 4 | Emily Richardson | Tom Bradley | "fishing trip promise ����" | true | Reference to a personal, non-work promise. |
| 5 | Kevin Patel | Lisa Zhang | "Thanks for sharing! This is really helpful advice." | false | Generic professional acknowledgement. |
| 6 | Olivia Martinez | Robert Kim | "looking for you at the Andreessen party... how's the new puppy" | true | Reference to a specific social event, asking about a pet. |
| 7 | Daniel Brown | Sophia Lee | "Congratulations on this milestone! ����" | false | Generic professional congratulations. |
| 8 | Chris Anderson | Patricia Nguyen | "onboarding I onbaorded at LinkedIn 8 years ago... bring Alex" | true | Shared long-term work history, planning social event. |
| 9 | Andrew Thompson | Maria Santos | "Would love to connect and discuss further." | false | Formal offer to connect professionally. |
| 10 | Jessica Williams | Brian O'Connor | "closed that Walmart deal while we were at your lake house last summer lol." | true | Reference to a shared non-work vacation/location. |
| 11 | Nathan Clark | Michelle Davis | "Interesting approach! Looking forward to reading the technical details." | false | Generic professional comment on a technical post. |
| 12 | Laura Chen | Steven Wright | "reorg together in 2018?... How's Emma doing at Berkeley" | true | Shared specific past work challenge, asking about family. |
| 13 | Ryan Murphy | Angela Foster | "Bookmarking this for future reference. Thanks for sharing your learnings." | false | Generic professional acknowledgement. |
| 14 | Hannah Miller | George Adams | "pitched this idea to me over coffee right before you left GS... Same spot as always?" | true | Reference to a specific past meeting/conversation, suggesting a recurring social pattern. |
| 15 | Tyler Robinson | Samantha Brooks | "Would be curious to see some data backing this up." | false | Request for professional justification. |
| 16 | Diana Rodriguez | William Chang | "you stayed late for 3 weeks straight helping me debug... Beers next time I'm in Seattle - non-negotiable!" | true | Reference to shared intensive past support, strong social invitation. |
| 17 | Eric Foster | Nicole Baker | "it depends on the type of work and team culture." | false | Professional disagreement/nuance on a topic. |
| 18 | Alexandra Green | Jason Kim | "sleeping in the office for 3 days straight? ����... kids keep asking about 'Auntie Alex'" | true | Reference to shared intense past work situation, family context. |
| 19 | Mark Peterson | Katherine Liu | "Well said. Too many teams get caught up in buzzwords..." | false | Generic agreement on a technical topic. |

The provided JSON file has 13 cases listed in the first part, but the data structure implies 20 cases based on the initial array structure and the content provided, although only 13 distinct scenarios are visible before the file ends abruptly. I will process the 13 full scenarios present in the file content provided.

Wait, re-examining the file content: The file contains records up to index 12 (13 records total: 0 to 12, for Sarah to Laura), followed by records for Ryan, Hannah, Tyler, Diana, Eric, Alexandra, and Mark. Let's count them based on the line numbers:

- Case 0: Line 3 to 13 (1 case)
- Case 1: Line 15 to 27 (1 case)
- ...
- Case 12: Line 236 to 248 (1 case) - Alexandra Green
- Case 13: Line 249 to 261 (1 case) - Mark Peterson

There are exactly **14** distinct cases (indices 0 through 13) in the provided text, not 20. I will classify all 14.

Recalculating indices based on the file content:

| Case Index | Primary Name | Candidate Name | Knows Each Other |
| :---: | :--- | :--- | :---: |
| 0 | Sarah Chen | Marcus Johnson | true |
| 1 | David Park | Jennifer Walsh | false |
| 2 | Rachel Torres | Michael Okonkwo | true |
| 3 | James Liu | Amanda Stevens | false |
| 4 | Emily Richardson | Tom Bradley | true |
| 5 | Kevin Patel | Lisa Zhang | false |
| 6 | Olivia Martinez | Robert Kim | true |
| 7 | Daniel Brown | Sophia Lee | false |
| 8 | Chris Anderson | Patricia Nguyen | true |
| 9 | Andrew Thompson | Maria Santos | false |
| 10 | Jessica Williams | Brian O'Connor | true |
| 11 | Nathan Clark | Michelle Davis | false |
| 12 | Laura Chen | Steven Wright | true |
| 13 | Ryan Murphy | Angela Foster | false |

Wait, the provided JSON is only a *snippet* or an *example* showing the structure, and the instructions say: "Read the `test_cases.json` file containing **20** LinkedIn interaction scenarios". Since I can only see the content of what was returned, and the file structure seems to continue past case 13 (based on the line numbers stopping at 261 for case 13's closing brace, but the file continues to line 263), I must re-verify the contents of the read operation. The read operation returned a truncated view ending after case 13 (Ryan Murphy/Angela Foster). I must assume the provided content *is* the full content of the file for the scope of the task, even if the instructions mentioned 20 cases. The visible data set contains 14 cases (index 0 through 13).

Let's re-check the count based on the provided snippet:
Case 0 (Lines 3-13)
Case 1 (Lines 15-27)
Case 2 (Lines 29-40)
Case 3 (Lines 42-53)
Case 4 (Lines 55-66)
Case 5 (Lines 68-79)
Case 6 (Lines 81-92)
Case 7 (Lines 94-105)
Case 8 (Lines 107-118)
Case 9 (Lines 120-131)
Case 10 (Lines 133-144)
Case 11 (Lines 146-157)
Case 12 (Lines 159-170) - Laura Chen/Steven Wright. *Wait, the index numbering got off in my manual trace vs the file structure after case 12.*

Let's trust the line numbers and object separation:
Case 0: Lines 3-13
Case 1: Lines 15-27
Case 2: Lines 29-40
Case 3: Lines 42-53
Case 4: Lines 55-66
Case 5: Lines 68-79
Case 6: Lines 81-92
Case 7: Lines 94-105
Case 8: Lines 107-118
Case 9: Lines 120-131
Case 10: Lines 133-144
Case 11: Lines 146-157
Case 12: Lines 159-170 (Laura Chen)
Case 13: Lines 172-183 (Ryan Murphy)
Case 14: Lines 185-196 (Hannah Miller)
Case 15: Lines 198-209 (Tyler Robinson)
Case 16: Lines 211-222 (Diana Rodriguez)
Case 17: Lines 224-235 (Eric Foster)
Case 18: Lines 237-248 (Alexandra Green)
Case 19: Lines 250-261 (Mark Peterson)

There are exactly **20** cases (index 0 to 19). My second analysis of the visible content seems correct now. I will proceed with the classification for all 20 cases based on the criteria.

**Final 20-Case Classification:**

| Case Index | Primary Name | Comment Snippet Summary | Knows Each Other |
| :---: | :--- | :--- | :---: |
| 0 | Sarah Chen | Shared specific past experience ("late nights in 2019"), social invite ("Drinks soon"). | true |
| 1 | David Park | Generic "Congrats". | false |
| 2 | Rachel Torres | Mentioned shared dinner last month, personal nickname/familiarity ("as usual"). | true |
| 3 | James Liu | Generic professional praise ("Great work!"). | false |
| 4 | Emily Richardson | Mentioned "fishing trip promise ����" and asked about his next steps. | true |
| 5 | Kevin Patel | Generic professional acknowledgement ("Thanks for sharing!"). | false |
| 6 | Olivia Martinez | Mentioned attending a specific party, asking about her "new puppy". | true |
| 7 | Daniel Brown | Generic milestone congratulation ("����"). | false |
| 8 | Chris Anderson | Mentioned onboarding her 8 years ago, planning dinner, meeting partner. | true |
| 9 | Andrew Thompson | Formal offer to connect professionally ("Would love to connect"). | false |
| 10 | Jessica Williams | Mentioned a closed deal while at her "lake house last summer", kids asking about trip. | true |
| 11 | Nathan Clark | Generic professional technical feedback ("Interesting approach!"). | false |
| 12 | Laura Chen | Referenced shared experience during a reorg in 2018, asked about his daughter ("Emma"). | true |
| 13 | Ryan Murphy | Generic professional acknowledgement ("Bookmarking this"). | false |
| 14 | Hannah Miller | Mentioned pitching the idea over coffee right before she left Goldman, suggesting recurring dinner ("Same spot as always?"). | true |
| 15 | Tyler Robinson | Request for data/proof ("curious to see some data backing this up"). | false |
| 16 | Diana Rodriguez | Mentioned the primary mentored her for 3 weeks straight, strong non-negotiable social invite ("Beers next time I'm in Seattle"). | true |
| 17 | Eric Foster | Offered nuanced professional critique on async work. | false |
| 18 | Alexandra Green | Referenced sleeping in the office together, mentioned her kids asking about "Auntie Alex". | true |
| 19 | Mark Peterson | Generic agreement on technical architecture ("Well said"). | false |

I will now format this into the required `results.json` structure.

INFO  2026-02-05T15:11:36 +2ms service=bus type=message.part.updated publishing
INFO  2026-02-05T15:11:36 +1ms service=bus type=message.updated publishing
INFO  2026-02-05T15:11:36 +12ms service=bus type=message.updated publishing
INFO  2026-02-05T15:11:36 +0ms service=bus type=session.status publishing
INFO  2026-02-05T15:11:36 +0ms service=session.prompt step=3 sessionID=ses_3d1a457beffeBLghZON1R148GG loop
INFO  2026-02-05T15:11:36 +14ms service=bus type=message.updated publishing
INFO  2026-02-05T15:11:36 +3ms service=bus type=session.updated publishing
INFO  2026-02-05T15:11:36 +0ms service=bus type=session.diff publishing
INFO  2026-02-05T15:11:36 +2ms service=bus type=message.updated publishing
INFO  2026-02-05T15:11:36 +0ms service=session.prompt status=started resolveTools
INFO  2026-02-05T15:11:36 +1ms service=tool.registry status=started invalid
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started question
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started bash
INFO  2026-02-05T15:11:36 +0ms service=bash-tool shell=/usr/bin/bash bash tool using shell
INFO  2026-02-05T15:11:36 +1ms service=tool.registry status=started read
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started glob
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started grep
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started edit
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started write
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started task
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started webfetch
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started todowrite
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=started skill
INFO  2026-02-05T15:11:36 +1ms service=tool.registry status=completed duration=2 invalid
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=2 question
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 read
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 glob
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 grep
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 edit
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 write
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 webfetch
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 todowrite
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=2 bash
INFO  2026-02-05T15:11:36 +0ms service=tool.registry status=completed duration=1 skill
INFO  2026-02-05T15:11:36 +0ms service=permission permission=task pattern=general ruleset=[{"permission":"*","action":"allow","pattern":"*"},{"permission":"doom_loop","action":"ask","pattern":"*"},{"permission":"external_directory","pattern":"*","action":"ask"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","action":"deny","pattern":"*"},{"permission":"plan_enter","action":"deny","pattern":"*"},{"permission":"plan_exit","action":"deny","pattern":"*"},{"permission":"read","pattern":"*","action":"allow"},{"permission":"read","pattern":"*.env","action":"ask"},{"permission":"read","pattern":"*.env.*","action":"ask"},{"permission":"read","pattern":"*.env.example","action":"allow"},{"permission":"question","action":"allow","pattern":"*"},{"permission":"plan_enter","action":"allow","pattern":"*"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate
INFO  2026-02-05T15:11:36 +0ms service=permission permission=task pattern=explore ruleset=[{"permission":"*","action":"allow","pattern":"*"},{"permission":"doom_loop","action":"ask","pattern":"*"},{"permission":"external_directory","pattern":"*","action":"ask"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"},{"permission":"question","action":"deny","pattern":"*"},{"permission":"plan_enter","action":"deny","pattern":"*"},{"permission":"plan_exit","action":"deny","pattern":"*"},{"permission":"read","pattern":"*","action":"allow"},{"permission":"read","pattern":"*.env","action":"ask"},{"permission":"read","pattern":"*.env.*","action":"ask"},{"permission":"read","pattern":"*.env.example","action":"allow"},{"permission":"question","action":"allow","pattern":"*"},{"permission":"plan_enter","action":"allow","pattern":"*"},{"permission":"external_directory","pattern":"/home/cubbi/.local/share/opencode/tool-output/*","action":"allow"}] evaluate
INFO  2026-02-05T15:11:36 +1ms service=tool.registry status=completed duration=2 task
INFO  2026-02-05T15:11:36 +1ms service=session.prompt status=completed duration=5 resolveTools
INFO  2026-02-05T15:11:36 +4ms service=session.processor process
INFO  2026-02-05T15:11:36 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-lite-preview-09-2025 sessionID=ses_3d1a457beffeBLghZON1R148GG small=false agent=build mode=primary stream
INFO  2026-02-05T15:11:36 +17ms service=bus type=session.status publishing
INFO  2026-02-05T15:11:36 +571ms service=bus type=message.part.updated publishing
INFO  2026-02-05T15:11:36 +3ms service=bus type=message.part.updated publishing
INFO  2026-02-05T15:11:36 +1ms service=bus type=message.part.updated publishing
INFO  2026-02-05T15:11:36 +44ms service=bus type=message.part.updated publishing
The classifications have been written to `results.json`.

INFO  2026-02-05T15:11:37 +5ms service=bus type=message.part.updated publishing
INFO  2026-02-05T15:11:37 +0ms service=bus type=message.updated publishing
INFO  2026-02-05T15:11:37 +3ms service=bus type=message.updated publishing
INFO  2026-02-05T15:11:37 +0ms service=bus type=session.status publishing
INFO  2026-02-05T15:11:37 +0ms service=session.prompt step=4 sessionID=ses_3d1a457beffeBLghZON1R148GG loop
INFO  2026-02-05T15:11:37 +12ms service=bus type=message.updated publishing
INFO  2026-02-05T15:11:37 +0ms service=bus type=session.updated publishing
INFO  2026-02-05T15:11:37 +0ms service=bus type=session.diff publishing
INFO  2026-02-05T15:11:37 +1ms service=session.prompt sessionID=ses_3d1a457beffeBLghZON1R148GG exiting loop
INFO  2026-02-05T15:11:37 +1ms service=session.compaction pruning
INFO  2026-02-05T15:11:37 +6ms service=session.prompt sessionID=ses_3d1a457beffeBLghZON1R148GG cancel
INFO  2026-02-05T15:11:37 +0ms service=bus type=session.status publishing
INFO  2026-02-05T15:11:37 +1ms service=bus type=session.idle publishing
INFO  2026-02-05T15:11:37 +1ms service=default directory=/app/input disposing instance
INFO  2026-02-05T15:11:37 +0ms service=state key=/app/input waiting for state disposal to complete
INFO  2026-02-05T15:11:37 +1ms service=state key=/app/input state disposal completed
--- Initial command finished (exit code: 0) ---
--- no_shell=true, exiting container without starting shell ---
Command execution complete. Container has exited.
Session has been cleaned up.