agents 4b79c732a143ae6bb6a75681

18533d33 58ef 4d83 948d 919fc16eb55c

agents/history/18533d33-58ef-4d83-948d-919fc16eb55c.md

task_id: 18533d33-58ef-4d83-948d-919fc16eb55c description: '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.)

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?

Investigate:

  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. 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. 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. 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.

Report concisely with file paths and line numbers. If nothing exists, say so explicitly.' runtime: pi runtime_mode: cli repo: /home/kyhuang/scratch/ndas branch: dylanbot/18533d33-read-only-investigat base_branch: main worktree: /home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c status: handed_off pid: 508243 timeout_minutes: 30 started_at: 1789659476.200413 completed_at: 1789659550.4736412 exit_code: null source_event_id: c649403f-baf3-44ea-9751-6ac9c1eeb012 runtime_requested_mode: cli result_summary: 'Refusing cleanup: /home/kyhuang/.config/dylanbot/worktrees/18533d33-58ef-4d83-948d-919fc16eb55c has dirty files after merge.

Task status: completed.

Backlog item: none.

Dirty files:

  • ?? .cursor/ (av-dev-l2pp-2 comparison unavailable)' completion_artifact_status: not_required spawn_contract_status: valid created_at: 1789659447.850881 chat_id: 01a0b004-7ced-7bc3-b699-1223b57b4d63 agent_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 turn_count: 1 thread_ts: '1789659476.284239' lifecycle_policy: ndas.read_only spawn_policy: auto repo_family: ndas task_kind: read_only success_criteria:
  • Validate NDAS data assumptions and identifier semantics before changing behavior.
  • Run the relevant tests, scripts, or notebook validation for touched code.
  • Document any data query, sample, or validation evidence used. definition_of_done:
  • Relevant tests or validation scripts pass.
  • 'NDAS terminology is correct: session_id, clip_id, and timestamp units are not confused.'
  • Data/SQL assumptions are verified or explicitly handed off.
  • The branch/CL is reviewable with no unrelated edits. spawn_context_schema_version: 1 spawn_context_algorithm_version: 1 spawn_context_bundle_hash: 52b352f1eb9d7887335dd8a07410acfd91ee5e2a75b3e0a9333b39df1d9f6a53 spawn_context_bundle_path: /home/kyhuang/.config/dylanbot/memory/agents/context/18533d33-58ef-4d83-948d-919fc16eb55c.json spawn_context_item_count: 6 prompt_manifest_schema_version: 1 prompt_manifest_algorithm_version: 1 prompt_manifest_hash: 41621dea0ec6f1c11caa7a168b8c9e2bd7db9760308ac53eea4c1539261d6466 prompt_manifest_path: /home/kyhuang/.config/dylanbot/memory/agents/prompts/18533d33-58ef-4d83-948d-919fc16eb55c.json prompt_part_count: 8 prompt_rendered_hash: 78f2189af79912b187cde506b0d431959e0a5b16ac7556c38923fc6e380c7c9a runtime_command: /home/kyhuang/.local/share/pi-node/node-v22.23.2-linux-x64/bin/pi runtime_invocation_profile: pi.mode_json stage_spec_schema_version: 1 stage_spec_algorithm_version: 2 stage_spec_id: stage:18533d33-58ef-4d83-948d-919fc16eb55c:v0 stage_spec_hash: 7f430bc0b2065ebe0ffc6c8074caa527a0114659064664ba1f3e3d1f7efff726 stage_spec_path: /home/kyhuang/.config/dylanbot/memory/agents/stages/18533d33-58ef-4d83-948d-919fc16eb55c.json parent_channel: D0BET9CTWCW parent_ts: '1789659476.284239' started_message_channel: D0BET9CTWCW started_message_ts: '1789659476.468209' merge_failure_kind: cleanup_dirty_worktree

Task

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.)

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?

Investigate:

  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. 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. 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. 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.

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

Context

Definition of Done

Policy: ndas.read_only

Spawn policy: auto

  • Relevant tests or validation scripts pass.
  • NDAS terminology is correct: session_id, clip_id, and timestamp units are not confused.
  • Data/SQL assumptions are verified or explicitly handed off.
  • The branch/CL is reviewable with no unrelated edits.

Success Criteria

  • Validate NDAS data assumptions and identifier semantics before changing behavior.
  • Run the relevant tests, scripts, or notebook validation for touched code.
  • Document any data query, sample, or validation evidence used.

Spawn Context Bundle

  • Schema: 1
  • Algorithm: 1
  • Hash: 52b352f1eb9d7887335dd8a07410acfd91ee5e2a75b3e0a9333b39df1d9f6a53
  • Manifest: /home/kyhuang/.config/dylanbot/memory/agents/context/18533d33-58ef-4d83-948d-919fc16eb55c.json
  • Included items: 6
  • Before implementing, read the referenced rules, memory pointers, and recent related-work hits in the manifest.

Existing State Audit

Complete this before editing code:

  • Searches run:
  • Existing implementations or related code found:
  • Reuse/extend decision:

Stage Contract

  • Schema: 1
  • Algorithm: 2
  • Stage spec id: stage:18533d33-58ef-4d83-948d-919fc16eb55c:v0
  • Stage spec hash: 7f430bc0b2065ebe0ffc6c8074caa527a0114659064664ba1f3e3d1f7efff726
  • Stage spec: /home/kyhuang/.config/dylanbot/memory/agents/stages/18533d33-58ef-4d83-948d-919fc16eb55c.json

Prompt Provenance

  • Schema: 1
  • Algorithm: 1
  • Manifest hash: 41621dea0ec6f1c11caa7a168b8c9e2bd7db9760308ac53eea4c1539261d6466
  • Rendered prompt hash: 78f2189af79912b187cde506b0d431959e0a5b16ac7556c38923fc6e380c7c9a
  • Manifest: /home/kyhuang/.config/dylanbot/memory/agents/prompts/18533d33-58ef-4d83-948d-919fc16eb55c.json
  • Prompt parts: 8
  • Runtime command: /home/kyhuang/.local/share/pi-node/node-v22.23.2-linux-x64/bin/pi
  • Runtime invocation profile: pi.mode_json
  • Runtime model: not reported by runtime config

Progress

Result

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

  • ?? .cursor/ (av-dev-l2pp-2 comparison unavailable)