agents 35b9a7efa0daf8e3063db456

78af77e8 4af5 4085 a656 5dc71c8a7491

agents/history/78af77e8-4af5-4085-a656-5dc71c8a7491.md

task_id: 78af77e8-4af5-4085-a656-5dc71c8a7491 description: 'Read-only investigation in the ndas repo at /home/kyhuang/scratch/ndas. Do NOT edit, commit, push, or send messages.

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/78af77e8-read-only-investigat base_branch: main worktree: /home/kyhuang/.config/dylanbot/worktrees/78af77e8-4af5-4085-a656-5dc71c8a7491 status: merge_failed pid: 507833 timeout_minutes: 30 started_at: 1789659157.0028389 completed_at: 1789659260.6196365 exit_code: null source_event_id: slack:D0984MRPP1R:1789658989.763739 runtime_requested_mode: cli result_summary: 'Refusing cleanup: /home/kyhuang/.config/dylanbot/worktrees/78af77e8-4af5-4085-a656-5dc71c8a7491 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: 1789659120.9918303 chat_id: 01a0afff-a366-76b6-94d4-e6b7871f841d agent_session_path: /home/kyhuang/.pi/agent/sessions/--home-kyhuang-.config-dylanbot-worktrees-78af77e8-4af5-4085-a656-5dc71c8a7491--/2026-09-17T15-32-41-446Z_01a0afff-a366-76b6-94d4-e6b7871f841d.jsonl turn_count: 1 thread_ts: '1789659157.090309' source_channel: D0984MRPP1R source_thread_ts: '1789658989.763739' source_is_im: true 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: d469577549eb9d293d3eff00a317b89d24ef8b706afe87ad13fdb0d32a72e0e0 spawn_context_bundle_path: /home/kyhuang/.config/dylanbot/memory/agents/context/78af77e8-4af5-4085-a656-5dc71c8a7491.json spawn_context_item_count: 6 prompt_manifest_schema_version: 1 prompt_manifest_algorithm_version: 1 prompt_manifest_hash: f9b77e59710c8edcac1869d2c8c5cc1e1dd4f000499b3ca508ae6d0e6c64b3bb prompt_manifest_path: /home/kyhuang/.config/dylanbot/memory/agents/prompts/78af77e8-4af5-4085-a656-5dc71c8a7491.json prompt_part_count: 8 prompt_rendered_hash: ff83981b996e423a03c6396d2afdfae8c264cb2b0a8123369a8e1412f16c1ed5 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:78af77e8-4af5-4085-a656-5dc71c8a7491:v0 stage_spec_hash: ffb00cbbc51bcedb175f340d21946a99f24e114c83cb78da51100bc57f84bb15 stage_spec_path: /home/kyhuang/.config/dylanbot/memory/agents/stages/78af77e8-4af5-4085-a656-5dc71c8a7491.json parent_channel: D0BET9CTWCW parent_ts: '1789659157.090309' started_message_channel: D0BET9CTWCW started_message_ts: '1789659157.307029' 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.

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: d469577549eb9d293d3eff00a317b89d24ef8b706afe87ad13fdb0d32a72e0e0
  • Manifest: /home/kyhuang/.config/dylanbot/memory/agents/context/78af77e8-4af5-4085-a656-5dc71c8a7491.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:78af77e8-4af5-4085-a656-5dc71c8a7491:v0
  • Stage spec hash: ffb00cbbc51bcedb175f340d21946a99f24e114c83cb78da51100bc57f84bb15
  • Stage spec: /home/kyhuang/.config/dylanbot/memory/agents/stages/78af77e8-4af5-4085-a656-5dc71c8a7491.json

Prompt Provenance

  • Schema: 1
  • Algorithm: 1
  • Manifest hash: f9b77e59710c8edcac1869d2c8c5cc1e1dd4f000499b3ca508ae6d0e6c64b3bb
  • Rendered prompt hash: ff83981b996e423a03c6396d2afdfae8c264cb2b0a8123369a8e1412f16c1ed5
  • Manifest: /home/kyhuang/.config/dylanbot/memory/agents/prompts/78af77e8-4af5-4085-a656-5dc71c8a7491.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/78af77e8-4af5-4085-a656-5dc71c8a7491 has dirty files after merge. Task status: completed. Backlog item: none. Dirty files:

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