review · segments
Resume conductor GPU scaling work
claude 166 events 8 segments main
segment 1 of 8
Get oriented and verify ground truth
Loaded the handoff doc and flower playbook, loaded flower MCP tools, queried recall_projects, recall_resume, recall_health, recall_open_loops, checked repo HEADs and dirty state via Bash, searched for VRAM-related content, loaded Solo tools, and verified that conductor/conductor-client/legit-embedding are indexed and open todos are surfaced. Also filed feedback about recall_resume returning false after a clean handoff.
outcome
All repos verified consistent with documented handoff; flower indexing confirmed; dogfooding finding #94 filed.
next steps
- Proceed to planning discussion based on findings.
key decisions
- Noted that recall_resume has a gap in clean handoff scenarios; filed idea for improvement.
open questions
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1 day ago → 1 day ago
segment 2 of 8
Read and review VRAM-aware tuning and multi-pod specs
The assistant read the two specification files (vram-aware tuning and multi-pod) as requested, and the user provided additional content from the specs. The reading phase was interrupted by the user, but the content was covered.
outcome
Both specification documents have been reviewed by the assistant.
next steps
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key decisions
- No implementation during this session; only planning.
open questions
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1 day ago → 1 day ago
segment 3 of 8
Decide on scaling strategy and result-routing approach for conductor
Multi-pod shelved; dynamic memory optimization discussed. User chose option B (single-process multi-model). Assistant read the vodmanager integration plan and recommended a two-track split: keep existing pipeline shipping with config-gated per-app result routing on the Laravel side, while building the new multi-model worker (including result-routing) independently. User approved, greenlighting research to prepare briefs.
outcome
Two-track plan decided: (1) existing foundation with Laravel-side result-routing config-gated, (2) new worker with multi-model and result-routing built independently.
next steps
- Conduct code recons across three repos (legit-embedding, conductor-client, conductor) to inform design.
key decisions
- Multi-pod shelved and deferred to idea status.
- Option B (single-process multi-model) chosen over multi-process.
- Two-track split: keep existing pipeline shipping while building replacement in isolation.
- Result-routing deferred to new worker, not implemented on current Celery worker.
- vodmanager integration scoped to rely on the new worker.
- Per-app result routing on Laravel side (conductor-client/conductor) to be built config-gated and OFF by default.
open questions
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1 day ago → 1 day ago
segment 4 of 8
Recon three codebases for GPU embedding pipeline scaling
Launched three parallel research agents to recon the legit-embedding worker, conductor-client consumer surface, and conductor control-plane. The user provided detailed findings for each, including a critical correction: the worker is not Celery-prefork but uses subprocess.Popen --pool=solo, and the VRAM bug's root cause (CUDA-after-fork) is incorrect. The real bug is the CPU-only prep worker creating a phantom CUDA context via torch.cuda.get_device_properties at config load and sizing off total memory instead of free VRAM.
outcome
Complete recon reports for all three repos with concrete file:line change points, corrected 1766f48 regression diagnosis.
next steps
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key decisions
- The existing spec's root cause diagnosis (CUDA-after-fork) is wrong; actual bug is CPU prep worker creating phantom CUDA context + sizing off total VRAM
- No changes needed to fork architecture understanding going forward
open questions
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1 day ago → 1 day ago
segment 5 of 8
Create epic brief and child briefs for conductor GPU scaling
Grounded recon findings, loaded flower tools, and created an epic brief (id 201) with 8 child briefs covering immediate op (VRAM auto-size, result-routing contract, text-path validation), Track B substrate spike single-process worker and cost packer, plus two deferred items (multi-pod, vodmanager onboarding). All created as drafts.
outcome
1 epic and 8 child briefs created as drafts in flower.
next steps
- Write detailed specs for each brief
- Set parent-child relationships and dependencies
key decisions
- Split work into two tracks plus immediate op based on repo boundaries to minimize merge conflicts
- Corrected the 1766f48 regression root cause from CUDA-after-fork to CPU prep worker phantom CUDA context + total vs free VRAM sizing
open questions
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1 day ago → 1 day ago
segment 6 of 8
Write detailed specifications for each brief
Authored full specs for the epic and all 8 child briefs, detailing design rationale dependencies and implementation notes grounded in file:line references from the recon.
outcome
All briefs now have detailed specifications.
next steps
- Set parent-child relationships
- Wire dependencies and set deferred status
key decisions
- Each spec includes corrected diagnosis and specific file changes needed
open questions
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1 day ago → 1 day ago
segment 7 of 8
Set parent relationships dependencies and statuses for briefs
Set all child briefs under the epic as parents, wired dependencies (205 depends 204, 206 depends 205, 209 depends 203 and 205), and set multi-pod and vodmanager briefs to deferred status.
outcome
Brief tree structured with epic, 8 children, correct dependency chains, and two items in deferred status.
next steps
- Verify tree and write master cross-repo scratchpad
key decisions
- Used flower's built-in deferred status (not just a label) for parked items
- Dependency chain ensures Track B building order
open questions
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1 day ago → 1 day ago
segment 8 of 8
Write master cross-repo scratchpad and verify brief tree
Authored a master scratchpad (id 1082) in the conductor Solo project tying together the plan cadence and cross-repo touch-points, then verified the brief tree via recall_briefs confirming all 8 children.
outcome
Master scratchpad written and brief tree verified as complete.
next steps
- Promote #202 and or #203 from idea to planned when ready for implementation
key decisions
- Master scratchpad supersedes previous resume scratchpad as the active plan
open questions
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1 day ago → 1 day ago