/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_20251217_150016/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: c9df04fb 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 349 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 2025-12-17T15:09:50 +462ms service=default version=1.0.155 args=["run","--print-logs"] opencode INFO 2025-12-17T15:09:50 +1ms service=default directory=/app/input creating instance INFO 2025-12-17T15:09:50 +1ms service=project directory=/app/input fromDirectory INFO 2025-12-17T15:09:50 +5ms service=storage index=0 running migration ERROR 2025-12-17T15:09:50 +9ms service=storage index=0 failed to run migration INFO 2025-12-17T15:09:50 +1ms service=storage index=1 running migration INFO 2025-12-17T15:09:50 +7ms service=default directory=/app/input bootstrapping INFO 2025-12-17T15:09:50 +4ms service=config path=/home/cubbi/.config/opencode/config.json loading INFO 2025-12-17T15:09:50 +27ms service=config path=/home/cubbi/.config/opencode/opencode.json loading INFO 2025-12-17T15:09:50 +1ms service=config path=/home/cubbi/.config/opencode/opencode.jsonc loading INFO 2025-12-17T15:09:50 +10ms 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 2025-12-17T15:09:51 +445ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) installed @opencode-ai/plugin@1.0.155 3 packages installed [428.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [12] Saved lockfile done INFO 2025-12-17T15:09:51 +7ms service=plugin path=opencode-copilot-auth@0.0.9 loading plugin INFO 2025-12-17T15:09:51 +2ms service=bun pkg=opencode-copilot-auth version=0.0.9 installing package using Bun's default registry resolution INFO 2025-12-17T15:09:51 +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 2025-12-17T15:09:51 +78ms service=bun code=0 stdout=bun add v1.3.4 (5eb2145b) installed opencode-copilot-auth@0.0.9 1 package installed [72.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [4] Saved lockfile done INFO 2025-12-17T15:09:51 +4ms service=plugin path=opencode-anthropic-auth@0.0.5 loading plugin INFO 2025-12-17T15:09:51 +1ms service=bun pkg=opencode-anthropic-auth version=0.0.5 installing package using Bun's default registry resolution INFO 2025-12-17T15:09:51 +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 2025-12-17T15:09:51 +556ms 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 [547.00ms] stderr=Resolving dependencies Resolved, downloaded and extracted [50] Saved lockfile done 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type=message.updated publishing INFO 2025-12-17T15:09:53 +236ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:53 +2ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:53 +24ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:53 +183ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:53 +125ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:53 +103ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:53 +4ms service=session.summary title=Classifying LinkedIn relationship interactions title INFO 2025-12-17T15:09:53 +1ms service=bus type=message.updated publishing INFO 2025-12-17T15:09:53 +66ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:54 +148ms service=bus type=message.part.updated publishing ERROR 2025-12-17T15:09:54 +111ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-17T15:09:54 +0ms 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e=NotFoundError rejection INFO 2025-12-17T15:09:55 +8ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:55 +103ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:55 +108ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:55 +152ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:55 +96ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:55 +127ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:55 +110ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:56 +117ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:56 +97ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:56 +83ms service=bus type=message.part.updated publishing ERROR 2025-12-17T15:09:56 +8ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-17T15:09:56 +0ms service=default e=NotFoundError rejection INFO 2025-12-17T15:09:56 +174ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:56 +150ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:56 +98ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:56 +95ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:56 +153ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +103ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +87ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +91ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +173ms service=bus type=message.part.updated publishing ERROR 2025-12-17T15:09:57 +53ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-17T15:09:57 +0ms service=default e=NotFoundError rejection INFO 2025-12-17T15:09:57 +42ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +92ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +88ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +174ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:57 +82ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:58 +137ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:58 +143ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:58 +137ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:58 +120ms service=bus type=message.part.updated publishing ERROR 2025-12-17T15:09:58 +32ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-17T15:09:58 +0ms service=default e=NotFoundError rejection INFO 2025-12-17T15:09:58 +116ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:58 +145ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:58 +122ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:59 +172ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:59 +83ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:59 +89ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:59 +28ms service=bus type=message.part.updated publishing ERROR 2025-12-17T15:09:59 +362ms service=acp-command promise={} reason=NotFoundError Unhandled rejection ERROR 2025-12-17T15:09:59 +0ms service=default e=NotFoundError rejection INFO 2025-12-17T15:09:59 +373ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:59 +1ms service=bus type=file.edited publishing INFO 2025-12-17T15:09:59 +0ms service=format file=/app/input/results.json formatting INFO 2025-12-17T15:09:59 +1ms service=format name=zig ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=uv format ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=terraform ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=standardrb ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=ruff ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=rubocop ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=air ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=prettier ext=.json checking INFO 2025-12-17T15:09:59 +1ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:09:59 +1ms service=format name=ocamlformat ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=mix ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=latexindent ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=ktlint ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=htmlbeautifier ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=gofmt ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=gleam ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=dart ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=clang-format ext=.json checking INFO 2025-12-17T15:09:59 +0ms service=format name=biome ext=.json checking INFO 2025-12-17T15:09:59 +2ms service=file.time sessionID=ses_4d323b9edffezvAGayBS3pHhv7 file=/app/input/results.json read INFO 2025-12-17T15:09:59 +0ms service=lsp file=/app/input/results.json touching file INFO 2025-12-17T15:09:59 +2ms service=bus type=message.part.updated publishing |  Write app/input/results.json INFO 2025-12-17T15:10:00 +37ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:10:00 +3ms service=bus type=message.part.updated publishing INFO 2025-12-17T15:10:00 +1ms service=bus type=message.updated publishing I see the `test_cases.json` content, but I encountered an error reading `/app/input/classifier_prompt.md`. Since the instructions state that I must "Read the `classifier_prompt.md` file to understand the classification criteria," I must attempt to read it again, or assume the visible criteria in the prompt are sufficient for now and state the assumption. Given the explicit "Key Classification Guidelines" section provided in the main instructions, I can proceed with the classification based on the provided summary, even if the dedicated file read failed. The summary criteria are quite detailed: **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 process the 20 test cases based on these guidelines. The test cases are already present in the response from reading `test_cases.json`. I will now analyze them one by one. ### Analysis **Case 0 (Sarah Chen & Marcus Johnson):** * **Interaction:** Candidate (Marcus) on Primary (Sarah). * **Evidence:** Marcus references "late nights in 2019 when we were whiteboarding the first version of this in the old office" (Shared experience/conversation), and suggests "Drinks soon to celebrate?" (Personal familiarity/non-work interaction). * **Classification:** `knows_each_other`: **true** (Strong personal context and shared history). **Case 1 (David Park & Jennifer Walsh):** * **Interaction:** Candidate (Jennifer) on Primary (David). * **Evidence:** Comment is "Congrats David! Well deserved." (Generic professional comment). * **Classification:** `knows_each_other`: **false** (Weak evidence, boilerplate congratulations). **Case 2 (Rachel Torres & Michael Okonkwo):** * **Interaction:** Candidate (Michael) on Primary (Rachel). * **Evidence:** Michael references "dinner last month" and mentions Rachel's influence ("You were right (as usual)"). Tone is familiar. * **Classification:** `knows_each_other`: **true** (References a recent non-work interaction and personal familiarity). **Case 3 (James Liu & Amanda Stevens):** * **Interaction:** Candidate (Amanda) on Primary (James). * **Evidence:** Comment is "Great work! This is exactly what the field needs. Looking forward to reading the full paper." (Generic professional praise). * **Classification:** `knows_each_other`: **false** (Weak evidence, standard professional engagement). **Case 4 (Emily Richardson & Tom Bradley):** * **Interaction:** Primary (Emily) on Candidate (Tom). * **Evidence:** Emily references them starting the same week ("Remember when we both started the same week back in 2016?"), mentions a "fishing trip promise" (Shared non-work interaction), and suggests meeting next week ("Coffee next week"). * **Classification:** `knows_each_other`: **true** (Strong shared history and promise of a personal meeting). **Case 5 (Kevin Patel & Lisa Zhang):** * **Interaction:** Candidate (Lisa) on Primary (Kevin). * **Evidence:** Comment is "Thanks for sharing! This is really helpful advice." (Transactional/informational exchange). * **Classification:** `knows_each_other`: **false** (Weak evidence, simple professional acknowledgment). **Case 6 (Olivia Martinez & Robert Kim):** * **Interaction:** Candidate (Robert) on Primary (Olivia). * **Evidence:** Robert mentions looking for her at "the Andreessen party" (Shared event/non-work interaction), compliments her panel, suggests lunch, and asks about her "new puppy" (Direct personal question/non-work life). * **Classification:** `knows_each_other`: **true** (Multiple references to personal life and social events). **Case 7 (Daniel Brown & Sophia Lee):** * **Interaction:** Candidate (Sophia) on Primary (Daniel). * **Evidence:** Comment is "Congratulations on this milestone! ����" (Generic professional congratulations). * **Classification:** `knows_each_other`: **false** (Weak evidence, polite but impersonal). **Case 8 (Chris Anderson & Patricia Nguyen):** * **Interaction:** Primary (Chris) on Candidate (Patricia). * **Evidence:** Chris references onboarding her as a "nervous new grad I onboarded at LinkedIn 8 years ago" (Deep shared history/mentoring), and suggests a dinner with her partner, Alex. * **Classification:** `knows_each_other`: **true** (Long history, personal acknowledgment, planning social interaction). **Case 9 (Andrew Thompson & Maria Santos):** * **Interaction:** Candidate (Maria) on Primary (Andrew). * **Evidence:** Comment is "Very insightful analysis. Would love to connect and discuss further." (Transactional/informational exchange, standard professional request). * **Classification:** `knows_each_other`: **false** (Weak evidence, standard professional networking). **Case 10 (Jessica Williams & Brian O'Connor):** * **Interaction:** Candidate (Brian) on Primary (Jessica). * **Evidence:** Brian uses an informal greeting ("There she is!!"), references a specific shared memory of her closing a deal while at "your lake house last summer" (Shared non-work experience), and mentions their children. Suggests another trip. * **Classification:** `knows_each_other`: **true** (References shared vacation, personal life/children, and suggests planning another trip). **Case 11 (Nathan Clark & Michelle Davis):** * **Interaction:** Candidate (Michelle) on Primary (Nathan). * **Evidence:** Comment is "Interesting approach! Looking forward to reading the technical details." (Purely technical/professional interest). * **Classification:** `knows_each_other`: **false** (Weak evidence, purely technical engagement). **Case 12 (Laura Chen & Steven Wright):** * **Interaction:** Primary (Laura) on Candidate (Steven). * **Evidence:** Laura references working together at Google ("our Google days in 2018"), mentions a frameworks they built together, and asks a direct personal question: "How's Emma doing at Berkeley btw?". * **Classification:** `knows_each_other`: **true** (References shared professional history and asks about a family member's education). **Case 13 (Ryan Murphy & Angela Foster):** * **Interaction:** Candidate (Angela) on Primary (Ryan). * **Evidence:** Comment is "Great thread! Bookmarking this for future reference. Thanks for sharing your learnings." (Transactional/informational exchange). * **Classification:** `knows_each_other`: **false** (Weak evidence, standard professional praise). **Case 14 (Hannah Miller & George Adams):** * **Interaction:** Candidate (George) on Primary (Hannah). * **Evidence:** George references her pitching the idea to him "over coffee right before she left GS" (Shared event/conversation), expresses admiration for her courage, and suggests their "annual catch-up dinner" at the "same spot as always." * **Classification:** `knows_each_other`: **true** (References shared history and an established annual non-work tradition). **Case 15 (Tyler Robinson & Samantha Brooks):** * **Interaction:** Candidate (Samantha) on Primary (Tyler). * **Evidence:** Comment is "Interesting perspective. Would be curious to see some data backing this up." (Purely transactional/informational exchange, requesting evidence). * **Classification:** `knows_each_other`: **false** (Weak evidence, professional inquiry). **Case 16 (Diana Rodriguez & William Chang):** * **Interaction:** Primary (Diana) on Candidate (William). * **Evidence:** Diana references him as her "first mentor when I joined Amazon in 2015" (Deep shared history/mentoring), fondly recalls a specific debugging incident where he stayed late to help her, praises his teaching style, and strongly suggests "Beers next time I'm in Seattle - non-negotiable!" * **Classification:** `knows_each_other`: **true** (Long history, specific shared work struggle, planning a personal meetup). **Case 17 (Eric Foster & Nicole Baker):** * **Interaction:** Candidate (Nicole) on Primary (Eric). * **Evidence:** Comment acknowledges points but states the answer is "more nuanced" based on "type of work and team culture." (High-level professional disagreement/debate). * **Classification:** `knows_each_other`: **false** (Formal, professional debate on a topic). **Case 18 (Alexandra Green & Jason Kim):** * **Interaction:** Candidate (Jason) on Primary (Alexandra). * **Evidence:** Jason references a specific shared, difficult launch at Twitter ("remember sleeping in the office for 3 days straight? ����"), praises her leadership, and mentions a non-work interaction involving her sending a gift to his daughter, explicitly calling her "Auntie Alex" and suggesting a family dinner. * **Classification:** `knows_each_other`: **true** (Shared intense professional experience and strong indication of an existing familial-like personal relationship). **Case 19 (Mark Peterson & Katherine Liu):** * **Interaction:** Candidate (Katherine) on Primary (Mark). * **Evidence:** Comment agrees with the substance of the post ("Well said. Too many teams get caught up in buzzwords instead of focusing on fundamentals."). * **Classification:** `knows_each_other`: **false** (Weak evidence, general agreement with professional content). **Case 20 (The `test_cases.json` file seems to end on Case 19, index 19, which is the 20th case).** The `test_cases.json` provided contains 20 objects, correctly indexed from 0 to 19 in the file structure presented. ### Final Compilation Index | Knows Each Other ------|------------------ 0 | true 1 | false 2 | true 3 | false 4 | true 5 | false 6 | true 7 | false 8 | true 9 | false 10 | true 11 | false 12 | true 13 | false 14 | true 15 | false 16 | true 17 | false 18 | true 19 | false Now I will generate the required `results.json` output. INFO 2025-12-17T15:10:00 +8ms service=bus type=message.updated publishing INFO 2025-12-17T15:10:00 +0ms service=bus type=session.status publishing INFO 2025-12-17T15:10:00 +0ms service=session.prompt step=2 sessionID=ses_4d323b9edffezvAGayBS3pHhv7 loop INFO 2025-12-17T15:10:00 +11ms service=bus type=message.updated publishing INFO 2025-12-17T15:10:00 +1ms service=bus type=message.updated publishing INFO 2025-12-17T15:10:00 +1ms service=bus type=session.updated publishing INFO 2025-12-17T15:10:00 +0ms service=bus type=session.diff publishing INFO 2025-12-17T15:10:00 +5ms service=session.prompt sessionID=ses_4d323b9edffezvAGayBS3pHhv7 exiting loop INFO 2025-12-17T15:10:00 +1ms service=session.compaction pruning INFO 2025-12-17T15:10:00 +1ms service=session.prompt sessionID=ses_4d323b9edffezvAGayBS3pHhv7 cancel INFO 2025-12-17T15:10:00 +0ms service=bus type=session.status publishing INFO 2025-12-17T15:10:00 +0ms service=bus type=session.idle publishing INFO 2025-12-17T15:10:00 +3ms service=default directory=/app/input disposing instance INFO 2025-12-17T15:10:00 +0ms service=state key=/app/input waiting for state disposal to complete INFO 2025-12-17T15:10:00 +2ms 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.