{"schema_version":"dashboard-memory-file.v1","generated_at":1790075038.4938526,"file":{"path":"agents/history/18533d33-58ef-4d83-948d-919fc16eb55c.md","path_id":"4b79c732a143ae6bb6a75681","category":"agents","title":"18533d33 58ef 4d83 948d 919fc16eb55c","size_bytes":8086,"mtime":1789659661.2286944,"age_days":4.8,"stale":false,"staleness_reason":"","source":"agent run record","provenance":["memory/agents","mtime:2026-09-17"],"warnings":[],"entities":[{"kind":"git_sha","value":"01a0b004","label":"01a0b004"},{"kind":"git_sha","value":"1223b57b4d63","label":"1223b57b4d63"},{"kind":"git_sha","value":"18533d33","label":"18533d33"},{"kind":"git_sha","value":"6ac9c1eeb012","label":"6ac9c1eeb012"},{"kind":"git_sha","value":"919fc16eb55c","label":"919fc16eb55c"},{"kind":"git_sha","value":"c649403f","label":"c649403f"},{"kind":"project","value":"cursor","label":"cursor"},{"kind":"project","value":"dylanbot","label":"dylanbot"},{"kind":"project","value":"ndas","label":"ndas"},{"kind":"uuid","value":"01a0b004-7ced-7bc3-b699-1223b57b4d63","label":"01a0b004"},{"kind":"uuid","value":"18533d33-58ef-4d83-948d-919fc16eb55c","label":"18533d33"},{"kind":"uuid","value":"c649403f-baf3-44ea-9751-6ac9c1eeb012","label":"c649403f"}],"metadata":{}},"content":"---\ntask_id: 18533d33-58ef-4d83-948d-919fc16eb55c\ndescription: 'Read-only investigation in the ndas repo at /home/kyhuang/scratch/ndas.\n Do NOT edit, commit, push, or send messages. (This is a re-run: a prior investigation\n completed but its result was not captured, so produce a fresh, self-contained report.)\n\n\n Question: Is there a \"CLE only\" DAG stage (a stage that runs only CLE evaluation\n without training) in the AML/plannet DAG configs? And is there any evidence/config\n for such a stage that has successfully run/completed?\n\n\n Investigate:\n\n 1. Search the repo (case-insensitive) for \"cle_only\", \"cle-only\", \"cle only\", \"cleOnly\",\n \"cle_stage\", \"cle-stage\" in DAG config yaml files and dag scripts under avdnn/dlav/aml/\n and avdnn/dlav/plannet/.\n\n 2. Look at avdnn/dlav/aml/scripts/dag/launch_dag.py and config_loader.py for how\n a CLE stage is appended/configured (e.g. via --cle-config flag).\n\n 3. Look for any DAG config that defines a stage whose only purpose is CLE (e.g.\n sft_only.yaml variants, or a dedicated cle_only yaml).\n\n 4. Report: exact file paths and line numbers for any \"cle only\" stage definition,\n the stage name(s), how it''s invoked, and whether there''s any marker/evidence of\n a successful completion (e.g. a config, a comment, a test, a job reference). Do\n not speculate about runtime completion if no evidence exists in the repo.\n\n\n Report concisely with file paths and line numbers. If nothing exists, say so explicitly.'\nruntime: pi\nruntime_mode: cli\nrepo: /home/kyhuang/scratch/ndas\nbranch: dylanbot/18533d33-read-only-investigat\nbase_branch: main\nworktree: /home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c\nstatus: handed_off\npid: 508243\ntimeout_minutes: 30\nstarted_at: 1789659476.200413\ncompleted_at: 1789659550.4736412\nexit_code: null\nsource_event_id: c649403f-baf3-44ea-9751-6ac9c1eeb012\nruntime_requested_mode: cli\nresult_summary: 'Refusing cleanup: `/home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c`\n has dirty files after merge.\n\n Task status: `completed`.\n\n Backlog item: `none`.\n\n Dirty files:\n\n - ?? .cursor/ (`av-dev-l2pp-2` comparison unavailable)'\ncompletion_artifact_status: not_required\nspawn_contract_status: valid\ncreated_at: 1789659447.850881\nchat_id: 01a0b004-7ced-7bc3-b699-1223b57b4d63\nagent_session_path: /home/kyhuang/.pi/agent/sessions/--home-kyhuang-.config-dylanbot-worktrees-18533d33-58ef-4d83-948d-919fc16eb55c--/2026-09-17T15-37-59-277Z_01a0b004-7ced-7bc3-b699-1223b57b4d63.jsonl\nturn_count: 1\nthread_ts: '1789659476.284239'\nlifecycle_policy: ndas.read_only\nspawn_policy: auto\nrepo_family: ndas\ntask_kind: read_only\nsuccess_criteria:\n- Validate NDAS data assumptions and identifier semantics before changing behavior.\n- Run the relevant tests, scripts, or notebook validation for touched code.\n- Document any data query, sample, or validation evidence used.\ndefinition_of_done:\n- Relevant tests or validation scripts pass.\n- 'NDAS terminology is correct: session_id, clip_id, and timestamp units are not confused.'\n- Data/SQL assumptions are verified or explicitly handed off.\n- The branch/CL is reviewable with no unrelated edits.\nspawn_context_schema_version: 1\nspawn_context_algorithm_version: 1\nspawn_context_bundle_hash: 52b352f1eb9d7887335dd8a07410acfd91ee5e2a75b3e0a9333b39df1d9f6a53\nspawn_context_bundle_path: /home/kyhuang/.config/dylanbot/memory/agents/context/18533d33-58ef-4d83-948d-919fc16eb55c.json\nspawn_context_item_count: 6\nprompt_manifest_schema_version: 1\nprompt_manifest_algorithm_version: 1\nprompt_manifest_hash: 41621dea0ec6f1c11caa7a168b8c9e2bd7db9760308ac53eea4c1539261d6466\nprompt_manifest_path: /home/kyhuang/.config/dylanbot/memory/agents/prompts/18533d33-58ef-4d83-948d-919fc16eb55c.json\nprompt_part_count: 8\nprompt_rendered_hash: 78f2189af79912b187cde506b0d431959e0a5b16ac7556c38923fc6e380c7c9a\nruntime_command: /home/kyhuang/.local/share/pi-node/node-v22.23.2-linux-x64/bin/pi\nruntime_invocation_profile: pi.mode_json\nstage_spec_schema_version: 1\nstage_spec_algorithm_version: 2\nstage_spec_id: stage:18533d33-58ef-4d83-948d-919fc16eb55c:v0\nstage_spec_hash: 7f430bc0b2065ebe0ffc6c8074caa527a0114659064664ba1f3e3d1f7efff726\nstage_spec_path: /home/kyhuang/.config/dylanbot/memory/agents/stages/18533d33-58ef-4d83-948d-919fc16eb55c.json\nparent_channel: D0BET9CTWCW\nparent_ts: '1789659476.284239'\nstarted_message_channel: D0BET9CTWCW\nstarted_message_ts: '1789659476.468209'\nmerge_failure_kind: cleanup_dirty_worktree\n---\n\n## Task\nRead-only investigation in the ndas repo at /home/kyhuang/scratch/ndas. Do NOT edit, commit, push, or send messages. (This is a re-run: a prior investigation completed but its result was not captured, so produce a fresh, self-contained report.)\n\nQuestion: Is there a \"CLE only\" DAG stage (a stage that runs only CLE evaluation without training) in the AML/plannet DAG configs? And is there any evidence/config for such a stage that has successfully run/completed?\n\nInvestigate:\n1. Search the repo (case-insensitive) for \"cle_only\", \"cle-only\", \"cle only\", \"cleOnly\", \"cle_stage\", \"cle-stage\" in DAG config yaml files and dag scripts under avdnn/dlav/aml/ and avdnn/dlav/plannet/.\n2. Look at avdnn/dlav/aml/scripts/dag/launch_dag.py and config_loader.py for how a CLE stage is appended/configured (e.g. via --cle-config flag).\n3. Look for any DAG config that defines a stage whose only purpose is CLE (e.g. sft_only.yaml variants, or a dedicated cle_only yaml).\n4. Report: exact file paths and line numbers for any \"cle only\" stage definition, the stage name(s), how it's invoked, and whether there's any marker/evidence of a successful completion (e.g. a config, a comment, a test, a job reference). Do not speculate about runtime completion if no evidence exists in the repo.\n\nReport concisely with file paths and line numbers. If nothing exists, say so explicitly.\n\n\n## Context\n\n\n## Definition of Done\n\nPolicy: `ndas.read_only`\n\nSpawn policy: `auto`\n\n- Relevant tests or validation scripts pass.\n- NDAS terminology is correct: session_id, clip_id, and timestamp units are not confused.\n- Data/SQL assumptions are verified or explicitly handed off.\n- The branch/CL is reviewable with no unrelated edits.\n\n### Success Criteria\n- Validate NDAS data assumptions and identifier semantics before changing behavior.\n- Run the relevant tests, scripts, or notebook validation for touched code.\n- Document any data query, sample, or validation evidence used.\n\n\n## Spawn Context Bundle\n- Schema: 1\n- Algorithm: 1\n- Hash: `52b352f1eb9d7887335dd8a07410acfd91ee5e2a75b3e0a9333b39df1d9f6a53`\n- Manifest: `/home/kyhuang/.config/dylanbot/memory/agents/context/18533d33-58ef-4d83-948d-919fc16eb55c.json`\n- Included items: 6\n- Before implementing, read the referenced rules, memory pointers, and recent related-work hits in the manifest.\n\n### Existing State Audit\nComplete this before editing code:\n- Searches run:\n- Existing implementations or related code found:\n- Reuse/extend decision:\n\n\n\n## Stage Contract\n- Schema: 1\n- Algorithm: 2\n- Stage spec id: `stage:18533d33-58ef-4d83-948d-919fc16eb55c:v0`\n- Stage spec hash: `7f430bc0b2065ebe0ffc6c8074caa527a0114659064664ba1f3e3d1f7efff726`\n- Stage spec: `/home/kyhuang/.config/dylanbot/memory/agents/stages/18533d33-58ef-4d83-948d-919fc16eb55c.json`\n\n\n## Prompt Provenance\n- Schema: 1\n- Algorithm: 1\n- Manifest hash: `41621dea0ec6f1c11caa7a168b8c9e2bd7db9760308ac53eea4c1539261d6466`\n- Rendered prompt hash: `78f2189af79912b187cde506b0d431959e0a5b16ac7556c38923fc6e380c7c9a`\n- Manifest: `/home/kyhuang/.config/dylanbot/memory/agents/prompts/18533d33-58ef-4d83-948d-919fc16eb55c.json`\n- Prompt parts: 8\n- Runtime command: `/home/kyhuang/.local/share/pi-node/node-v22.23.2-linux-x64/bin/pi`\n- Runtime invocation profile: `pi.mode_json`\n- Runtime model: not reported by runtime config\n\n\n## Progress\n\n\n## Result\nRefusing cleanup: `/home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c` has dirty files after merge.\nTask status: `completed`.\nBacklog item: `none`.\nDirty files:\n- ?? .cursor/ (`av-dev-l2pp-2` comparison unavailable)\n","rendered_html":"
\n

task_id: 18533d33-58ef-4d83-948d-919fc16eb55c\ndescription: 'Read-only investigation in the ndas repo at /home/kyhuang/scratch/ndas.\nDo NOT edit, commit, push, or send messages. (This is a re-run: a prior investigation\ncompleted but its result was not captured, so produce a fresh, self-contained report.)

\n

Question: Is there a "CLE only" DAG stage (a stage that runs only CLE evaluation\nwithout training) in the AML/plannet DAG configs? And is there any evidence/config\nfor such a stage that has successfully run/completed?

\n

Investigate:

\n
    \n
  1. \n

    Search the repo (case-insensitive) for "cle_only", "cle-only", "cle only", "cleOnly",\n"cle_stage", "cle-stage" in DAG config yaml files and dag scripts under avdnn/dlav/aml/\nand avdnn/dlav/plannet/.

    \n
    2. \n
  2. \n

    Look at avdnn/dlav/aml/scripts/dag/launch_dag.py and config_loader.py for how\na CLE stage is appended/configured (e.g. via --cle-config flag).

    \n
    3. \n
  3. \n

    Look for any DAG config that defines a stage whose only purpose is CLE (e.g.\nsft_only.yaml variants, or a dedicated cle_only yaml).

    \n
    4. \n
  4. \n

    Report: exact file paths and line numbers for any "cle only" stage definition,\nthe stage name(s), how it''s invoked, and whether there''s any marker/evidence of\na successful completion (e.g. a config, a comment, a test, a job reference). Do\nnot speculate about runtime completion if no evidence exists in the repo.

    \n
    5. \n
\n

Report concisely with file paths and line numbers. If nothing exists, say so explicitly.'\nruntime: pi\nruntime_mode: cli\nrepo: /home/kyhuang/scratch/ndas\nbranch: dylanbot/18533d33-read-only-investigat\nbase_branch: main\nworktree: /home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c\nstatus: handed_off\npid: 508243\ntimeout_minutes: 30\nstarted_at: 1789659476.200413\ncompleted_at: 1789659550.4736412\nexit_code: null\nsource_event_id: c649403f-baf3-44ea-9751-6ac9c1eeb012\nruntime_requested_mode: cli\nresult_summary: 'Refusing cleanup: /home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c\nhas dirty files after merge.

\n

Task status: completed.

\n

Backlog item: none.

\n

Dirty files:

\n\n
\n

Task

\n

Read-only investigation in the ndas repo at /home/kyhuang/scratch/ndas. Do NOT edit, commit, push, or send messages. (This is a re-run: a prior investigation completed but its result was not captured, so produce a fresh, self-contained report.)

\n

Question: Is there a "CLE only" DAG stage (a stage that runs only CLE evaluation without training) in the AML/plannet DAG configs? And is there any evidence/config for such a stage that has successfully run/completed?

\n

Investigate:

\n
    \n
  1. Search the repo (case-insensitive) for "cle_only", "cle-only", "cle only", "cleOnly", "cle_stage", "cle-stage" in DAG config yaml files and dag scripts under avdnn/dlav/aml/ and avdnn/dlav/plannet/.
    2. \n
  2. Look at avdnn/dlav/aml/scripts/dag/launch_dag.py and config_loader.py for how a CLE stage is appended/configured (e.g. via --cle-config flag).
    3. \n
  3. Look for any DAG config that defines a stage whose only purpose is CLE (e.g. sft_only.yaml variants, or a dedicated cle_only yaml).
    4. \n
  4. Report: exact file paths and line numbers for any "cle only" stage definition, the stage name(s), how it's invoked, and whether there's any marker/evidence of a successful completion (e.g. a config, a comment, a test, a job reference). Do not speculate about runtime completion if no evidence exists in the repo.
    5. \n
\n

Report concisely with file paths and line numbers. If nothing exists, say so explicitly.

\n

Context

\n

Definition of Done

\n

Policy: ndas.read_only

\n

Spawn policy: auto

\n\n

Success Criteria

\n\n

Spawn Context Bundle

\n\n

Existing State Audit

\n

Complete this before editing code:

\n\n

Stage Contract

\n\n

Prompt Provenance

\n\n

Progress

\n

Result

\n

Refusing cleanup: /home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c has dirty files after merge.\nTask status: completed.\nBacklog item: none.\nDirty files:

\n\n","breadcrumbs":[{"label":"memory","path":""},{"label":"agents","path":"agents"},{"label":"history","path":"agents/history"},{"label":"18533d33-58ef-4d83-948d-919fc16eb55c.md","path":"agents/history/18533d33-58ef-4d83-948d-919fc16eb55c.md"}],"truncated":false,"line_count":179,"related_entities":[{"kind":"git_sha","value":"01a0b004","label":"01a0b004"},{"kind":"git_sha","value":"1223b57b4d63","label":"1223b57b4d63"},{"kind":"git_sha","value":"18533d33","label":"18533d33"},{"kind":"git_sha","value":"6ac9c1eeb012","label":"6ac9c1eeb012"},{"kind":"git_sha","value":"919fc16eb55c","label":"919fc16eb55c"},{"kind":"git_sha","value":"c649403f","label":"c649403f"},{"kind":"project","value":"cursor","label":"cursor"},{"kind":"project","value":"dylanbot","label":"dylanbot"},{"kind":"project","value":"ndas","label":"ndas"},{"kind":"uuid","value":"01a0b004-7ced-7bc3-b699-1223b57b4d63","label":"01a0b004"},{"kind":"uuid","value":"18533d33-58ef-4d83-948d-919fc16eb55c","label":"18533d33"},{"kind":"uuid","value":"c649403f-baf3-44ea-9751-6ac9c1eeb012","label":"c649403f"}],"related_files":[],"errors":[]}