/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_20251219_150023/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: 0c99fca5 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 350 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 2025-12-19T15:16:02 +506ms service=default version=1.0.155 args=["run","--print-logs"] opencode INFO 2025-12-19T15:16:02 +2ms service=default directory=/app/input creating instance INFO 2025-12-19T15:16:02 +1ms service=project directory=/app/input fromDirectory INFO 2025-12-19T15:16:02 +9ms service=storage index=0 running migration ERROR 2025-12-19T15:16:02 +5ms service=storage index=0 failed to run migration INFO 2025-12-19T15:16:02 +1ms service=storage index=1 running migration INFO 2025-12-19T15:16:02 +3ms service=default directory=/app/input bootstrapping INFO 2025-12-19T15:16:02 +4ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2025-12-19T15:16:02 +22ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2025-12-19T15:16:02 +4ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc 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+134ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) installed opencode-copilot-auth@0.0.9 1 package installed [128.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [4] Saved lockfile done INFO 2025-12-19T15:16:02 +3ms service=plugin path=opencode-anthropic-auth@0.0.5 loading plugin INFO 2025-12-19T15:16:02 +1ms service=bun pkg=opencode-anthropic-auth version=0.0.5 installing package using Bun's default registry resolution INFO 2025-12-19T15:16:02 +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 2025-12-19T15:16:03 +467ms 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 [459.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done INFO 2025-12-19T15:16:03 +36ms service=bus type=* subscribing INFO 2025-12-19T15:16:03 +0ms service=bus type=session.updated subscribing INFO 2025-12-19T15:16:03 +0ms service=bus type=message.updated subscribing INFO 2025-12-19T15:16:03 +0ms service=bus type=message.part.updated subscribing INFO 2025-12-19T15:16:03 +1ms service=bus type=session.updated subscribing INFO 2025-12-19T15:16:03 +0ms service=bus type=message.updated subscribing INFO 2025-12-19T15:16:03 +1ms service=bus type=message.part.updated subscribing INFO 2025-12-19T15:16:03 +0ms service=bus type=session.diff subscribing INFO 2025-12-19T15:16:03 +1ms service=format init INFO 2025-12-19T15:16:03 +0ms service=bus type=file.edited subscribing INFO 2025-12-19T15:16:03 +0ms service=lsp serverIds=deno, typescript, vue, eslint, biome, gopls, ruby-lsp, pyright, elixir-ls, zls, csharp, sourcekit-lsp, rust, clangd, svelte, astro, jdtls, yaml-ls, lua-ls, php intelephense, dart, ocaml-lsp, bash, terraform, texlab, dockerfile, 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service=provider status=started providerID=openrouter getSDK INFO 2025-12-19T15:16:03 +0ms service=provider status=completed duration=0 providerID=openrouter getSDK INFO 2025-12-19T15:16:03 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 small=false agent=build params={"options":{}} params INFO 2025-12-19T15:16:03 +1ms service=bus type=session.status publishing INFO 2025-12-19T15:16:03 +10ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:03 +3ms service=llm providerID=openrouter modelID=anthropic/claude-haiku-4.5 sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 small=true agent=title stream INFO 2025-12-19T15:16:03 +0ms service=llm providerID=openrouter modelID=anthropic/claude-haiku-4.5 sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 small=true agent=title params={"options":{}} params INFO 2025-12-19T15:16:03 +5ms service=bus type=session.updated publishing INFO 2025-12-19T15:16:03 +5ms service=bus type=session.diff publishing ERROR 2025-12-19T15:16:04 +810ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-19T15:16:04 +0ms service=default e=NotFoundError rejection INFO 2025-12-19T15:16:04 +93ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:04 +6ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:04 +1ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:04 +56ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:04 +125ms service=session.summary title=Classifying LinkedIn relationship interactions title INFO 2025-12-19T15:16:04 +1ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:04 +27ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:04 +127ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:04 +228ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:04 +66ms service=bus type=session.updated publishing INFO 2025-12-19T15:16:05 +154ms service=bus type=message.part.updated publishing ERROR 2025-12-19T15:16:05 +210ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-19T15:16:05 +0ms service=default e=NotFoundError rejection INFO 2025-12-19T15:16:05 +193ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +11ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +7ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +16ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +7ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +37ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +2ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +2ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +10ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:05 +1ms service=bus type=message.updated publishing I understand the task. I need to read the `classifier_prompt.md` and `test_cases.json` files, classify each test case based on whether the profiles **know each other personally**, and write the results to a `results.json` file. I will start by using `glob` to verify the existence and paths of the required files, and then use `read` to get their content.The task requires me to act as an LLM classifier to determine if two people know each other personally based on a set of provided data and classification guidelines. I need to read the classification prompt, the test cases, apply the classification logic, and output the results in a specified JSON format. First, I will read the required files: `classifier_prompt.md` for the guidelines and `test_cases.json` for the test data. I will use the `glob` tool to find the files and then the `read` tool to read their content. |  Glob app/input |  Glob app/input INFO 2025-12-19T15:16:05 +11ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:05 +0ms service=bus type=session.status publishing INFO 2025-12-19T15:16:05 +1ms service=session.prompt step=1 sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 loop INFO 2025-12-19T15:16:05 +9ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:05 +4ms service=bus type=session.updated publishing INFO 2025-12-19T15:16:05 +0ms service=bus type=session.diff publishing INFO 2025-12-19T15:16:05 +11ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:05 +1ms service=session.prompt status=started resolveTools INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started invalid INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started bash INFO 2025-12-19T15:16:05 +0ms service=bash-tool shell=/usr/bin/bash bash tool using shell INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started read INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started glob INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started grep INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started list INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started edit INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started write INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started task INFO 2025-12-19T15:16:05 +2ms service=tool.registry status=started webfetch INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started todowrite INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=started todoread INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=2 invalid INFO 2025-12-19T15:16:05 +2ms service=tool.registry status=completed duration=2 read INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=4 glob INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=4 grep INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=4 list INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=4 edit INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=4 write INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=2 webfetch INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=2 todowrite INFO 2025-12-19T15:16:05 +1ms service=tool.registry status=completed duration=3 todoread INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=5 bash INFO 2025-12-19T15:16:05 +0ms service=tool.registry status=completed duration=5 task INFO 2025-12-19T15:16:05 +5ms service=session.prompt status=completed duration=10 resolveTools INFO 2025-12-19T15:16:05 +17ms service=session.processor process INFO 2025-12-19T15:16:05 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 small=false agent=build stream INFO 2025-12-19T15:16:05 +0ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-preview-09-2025 sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 small=false agent=build params={"options":{}} params INFO 2025-12-19T15:16:05 +9ms service=bus type=session.status publishing INFO 2025-12-19T15:16:06 +534ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:06 +0ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:06 +202ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:06 +38ms service=bus type=message.part.updated publishing ERROR 2025-12-19T15:16:06 +64ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-19T15:16:06 +1ms service=default e=NotFoundError rejection INFO 2025-12-19T15:16:06 +149ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:06 +163ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:07 +205ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:07 +18ms service=bus type=message.part.updated publishing ERROR 2025-12-19T15:16:07 +615ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-19T15:16:07 +0ms service=default e=NotFoundError rejection INFO 2025-12-19T15:16:07 +88ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:07 +4ms service=bus type=message.part.updated publishing INFO 2025-12-19T15:16:07 +1ms service=bus type=message.updated publishing It appears that only `test_cases.json` was found directly. I will use the `task` tool to read the contents of that file, as well as the contents of `classifier_prompt.md`. Additionally, I will use `task` to perform the classification and write the results, as this is a complex, multi-step process that requires code execution and data processing. I will use the `general` subagent type for this task, as it involves multi-step data processing. The task for the subagent is: 1. Read the contents of `/app/input/classifier_prompt.md` to get the classification guidelines. 2. Read the contents of `/app/input/test_cases.json` to get the 20 test cases. 3. For each test case, apply the classification logic based on the guidelines to determine if the two people "know each other personally" (`true` or `false`). 4. Output the classifications to a file named `results.json` in the specified format. INFO 2025-12-19T15:16:07 +18ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:07 +1ms service=bus type=session.status publishing INFO 2025-12-19T15:16:07 +0ms service=session.prompt step=2 sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 loop INFO 2025-12-19T15:16:07 +16ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:07 +2ms service=bus type=message.updated publishing INFO 2025-12-19T15:16:07 +1ms service=bus type=session.updated publishing INFO 2025-12-19T15:16:07 +0ms service=bus type=session.diff publishing INFO 2025-12-19T15:16:07 +1ms service=session.prompt sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 exiting loop INFO 2025-12-19T15:16:07 +1ms service=session.compaction pruning INFO 2025-12-19T15:16:07 +9ms service=session.prompt sessionID=ses_4c8d157dbffeAy76gG14b0B0X0 cancel INFO 2025-12-19T15:16:07 +1ms service=bus type=session.status publishing INFO 2025-12-19T15:16:07 +0ms service=bus type=session.idle publishing INFO 2025-12-19T15:16:07 +2ms service=default directory=/app/input disposing instance INFO 2025-12-19T15:16:07 +1ms service=state key=/app/input waiting for state disposal to complete INFO 2025-12-19T15:16:07 +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.