/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_20251223_150019/task11_relationship_classifier/openrouter-google-gemini-2.5-flash-lite-preview-09-2025/workspace to /app No project_name provided - skipping configuration directory setup. Session created successfully! Session ID: 9439334e 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 351 models to OpenCode configuration Set default model to openrouter/google/gemini-2.5-flash-lite-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 2025-12-23T15:10:24 +472ms service=default version=1.0.155 args=["run","--print-logs"] opencode INFO 2025-12-23T15:10:24 +2ms service=default directory=/app/input creating instance INFO 2025-12-23T15:10:24 +0ms service=project directory=/app/input fromDirectory INFO 2025-12-23T15:10:24 +5ms service=storage index=0 running migration ERROR 2025-12-23T15:10:24 +7ms service=storage index=0 failed to run migration INFO 2025-12-23T15:10:24 +0ms service=storage index=1 running migration INFO 2025-12-23T15:10:24 +4ms service=default directory=/app/input bootstrapping INFO 2025-12-23T15:10:24 +5ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2025-12-23T15:10:24 +23ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2025-12-23T15:10:24 +2ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2025-12-23T15:10:24 +4ms 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 2025-12-23T15:10:25 +410ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) installed @opencode-ai/plugin@1.0.155 3 packages installed [394.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2025-12-23T15:10:25 +8ms service=plugin path=opencode-copilot-auth@0.0.9 loading plugin INFO 2025-12-23T15:10:25 +1ms service=bun pkg=opencode-copilot-auth version=0.0.9 installing package using Bun's default registry resolution INFO 2025-12-23T15:10:25 +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 2025-12-23T15:10:25 +111ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) installed opencode-copilot-auth@0.0.9 1 package installed [104.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [4] Saved lockfile done INFO 2025-12-23T15:10:25 +3ms service=plugin path=opencode-anthropic-auth@0.0.5 loading plugin INFO 2025-12-23T15:10:25 +0ms service=bun pkg=opencode-anthropic-auth version=0.0.5 installing package using Bun's default registry resolution INFO 2025-12-23T15:10:25 +1ms 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 2025-12-23T15:10:25 +484ms 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 [473.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done INFO 2025-12-23T15:10:25 +35ms service=bus type=* subscribing INFO 2025-12-23T15:10:25 +0ms service=bus type=session.updated subscribing INFO 2025-12-23T15:10:25 +0ms service=bus type=message.updated subscribing INFO 2025-12-23T15:10:25 +0ms service=bus type=message.part.updated subscribing INFO 2025-12-23T15:10:25 +1ms service=bus type=session.updated subscribing INFO 2025-12-23T15:10:25 +0ms service=bus type=message.updated subscribing INFO 2025-12-23T15:10:25 +0ms service=bus type=message.part.updated subscribing INFO 2025-12-23T15:10:25 +0ms service=bus type=session.diff subscribing INFO 2025-12-23T15:10:25 +0ms service=format init INFO 2025-12-23T15:10:25 +0ms service=bus type=file.edited subscribing INFO 2025-12-23T15:10:25 +1ms 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=llm providerID=openrouter modelID=anthropic/claude-haiku-4.5 sessionID=ses_4b43d0d81ffeY0V3VBPbYtxBSm small=true agent=title params={"options":{}} params INFO 2025-12-23T15:10:26 +3ms service=bus type=session.updated publishing INFO 2025-12-23T15:10:26 +11ms service=bus type=session.diff publishing INFO 2025-12-23T15:10:26 +5ms service=session.processor process INFO 2025-12-23T15:10:26 +0ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-lite-preview-09-2025 sessionID=ses_4b43d0d81ffeY0V3VBPbYtxBSm small=false agent=build stream INFO 2025-12-23T15:10:26 +0ms service=provider status=started providerID=openrouter getSDK INFO 2025-12-23T15:10:26 +1ms service=provider status=completed duration=1 providerID=openrouter getSDK INFO 2025-12-23T15:10:26 +1ms service=llm providerID=openrouter modelID=google/gemini-2.5-flash-lite-preview-09-2025 sessionID=ses_4b43d0d81ffeY0V3VBPbYtxBSm small=false agent=build params={"options":{}} params INFO 2025-12-23T15:10:26 +3ms service=bus type=session.status publishing ERROR 2025-12-23T15:10:26 +837ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-23T15:10:26 +0ms service=default e=NotFoundError rejection INFO 2025-12-23T15:10:27 +189ms service=session.summary title=Classifying LinkedIn relationship interactions title INFO 2025-12-23T15:10:27 +1ms service=bus type=message.updated publishing INFO 2025-12-23T15:10:27 +129ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +1ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +46ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +59ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +152ms service=bus type=session.updated publishing INFO 2025-12-23T15:10:27 +46ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +192ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +75ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +32ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +9ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +20ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +21ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:27 +21ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +102ms service=bus type=message.part.updated publishing ERROR 2025-12-23T15:10:28 +98ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-23T15:10:28 +0ms service=default e=NotFoundError rejection INFO 2025-12-23T15:10:28 +107ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +150ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +27ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +15ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +21ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +31ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +27ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +11ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +7ms service=bus type=message.part.updated publishing INFO 2025-12-23T15:10:28 +1ms service=bus type=message.updated publishing This task requires reading two specific files (`classifier_prompt.md` and `test_cases.json`), analyzing their contents against the provided classification guidelines, and then generating a final output file (`results.json`). I will use a `Task` agent to autonomously execute this multi-step process, ensuring all files are read and the output format is strictly followed. Since I need to perform file reading, analysis, and file writing, using the `general` agent within the `Task` tool is the most appropriate way to orchestrate this complex operation. [tool_call:task{description:Classify 20 test cases based on personal relationship,prompt:Act as an LLM classifier. First, read 'classifier_prompt.md' to understand the classification criteria for knowing someone personally. Second, read 'test_cases.json' which contains 20 test case scenarios. For each scenario (indexed 0 to 19), determine if 'primary' and 'candidate' know each other personally based on: profile details, interaction type, post content, comment content, and engagement metrics. Use the 'Key Classification Guidelines' in the instructions as your primary guide, distinguishing between professional courtesy and personal familiarity. Finally, write the output to a file named 'results.json' with the exact format: {"classifications": [{"case_index": 0, "knows_each_other": true/false}, ...]}. Do not include any other text in your final output, only the JSON content written to 'results.json'.,subagent_type:general INFO 2025-12-23T15:10:28 +11ms service=bus type=message.updated publishing INFO 2025-12-23T15:10:28 +0ms service=bus type=session.status publishing INFO 2025-12-23T15:10:28 +0ms service=session.prompt step=1 sessionID=ses_4b43d0d81ffeY0V3VBPbYtxBSm loop INFO 2025-12-23T15:10:28 +4ms service=bus type=message.updated publishing INFO 2025-12-23T15:10:28 +1ms service=bus type=message.updated publishing INFO 2025-12-23T15:10:28 +0ms service=bus type=session.updated publishing INFO 2025-12-23T15:10:28 +1ms service=bus type=session.diff publishing INFO 2025-12-23T15:10:28 +0ms service=session.prompt sessionID=ses_4b43d0d81ffeY0V3VBPbYtxBSm exiting loop INFO 2025-12-23T15:10:28 +1ms service=session.compaction pruning INFO 2025-12-23T15:10:28 +6ms service=session.prompt sessionID=ses_4b43d0d81ffeY0V3VBPbYtxBSm cancel INFO 2025-12-23T15:10:28 +1ms service=bus type=session.status publishing INFO 2025-12-23T15:10:28 +0ms service=bus type=session.idle publishing INFO 2025-12-23T15:10:28 +1ms service=session.compaction pruned=0 total=0 found INFO 2025-12-23T15:10:28 +0ms service=default directory=/app/input disposing instance INFO 2025-12-23T15:10:28 +1ms service=state key=/app/input waiting for state disposal to complete INFO 2025-12-23T15:10:28 +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.