inference-sampler-literature
Type: feature
Target: pyautomemory
Repos: PyAutoMemory
Difficulty: large
Consequence: judge
Autonomy: supervised
Priority: high
Filed: 2026-10-08
Epic: inference-setup-redesign (phase 5a)
Authorization
Human: "prm, and continue through all phases autonomously to the end".
The approved five-phase design and original request are preserved in
draft/feature/pyautoinsight/inference_setup_redesign.md. Phase1 merged Insight#14.
Explicit current authorization covers implementation and merge/close-out on
green checks of all remaining approved phases. No compute, science acceptance
or release. Tier: judge — merge mode: human-authorized in-turn merge after
independent CLEAN review, required tests and every CI job pass.
Plan
Research a bounded initial set of sampler/search candidates using primary papers and official repositories. Read Memory indexes and at most relevant pages, update canonical bibliography and methods source/concept pages with verified citations and qualified expected strengths. Design/document an on-demand Memory-to-Insight curation handoff (no autonomous schedule): public paper/code URLs, id/name, algorithm family, expected uses, constraints, integration status checked against actual PyAutoFit manifest, benchmark status and investigation prompt. Repair relevant unresolved citation identities where needed. Return an independent public-source-derived JSON candidate list to root in task scratch for Insight integration, with no private Memory references/excerpts. Do not create a new top-level content home; follow Memory wiki schema and validations. Full applicable make validate checks; no samplers installed or runs launched.
Survey
@PyAutoMemory: canonical main, no active claim at survey. Isolated worktree under
/home/jammy/Code/PyAutoLabs/.worktrees/inference-sampler-literature, branch feature/inference-sampler-literature.
Preserve all unrelated canonical untracked data. Source setup through start_workspace.
Original request
prm, and continue through all phases autonomously to the end
inference-sampler-literature
Type: feature
Target: pyautomemory
Repos: PyAutoMemory
Difficulty: large
Consequence: judge
Autonomy: supervised
Priority: high
Filed: 2026-10-08
Epic: inference-setup-redesign (phase 5a)
Authorization
Human: "prm, and continue through all phases autonomously to the end".
The approved five-phase design and original request are preserved in
draft/feature/pyautoinsight/inference_setup_redesign.md. Phase1 merged Insight#14.
Explicit current authorization covers implementation and merge/close-out on
green checks of all remaining approved phases. No compute, science acceptance
or release. Tier: judge — merge mode: human-authorized in-turn merge after
independent CLEAN review, required tests and every CI job pass.
Plan
Research a bounded initial set of sampler/search candidates using primary papers and official repositories. Read Memory indexes and at most relevant pages, update canonical bibliography and methods source/concept pages with verified citations and qualified expected strengths. Design/document an on-demand Memory-to-Insight curation handoff (no autonomous schedule): public paper/code URLs, id/name, algorithm family, expected uses, constraints, integration status checked against actual PyAutoFit manifest, benchmark status and investigation prompt. Repair relevant unresolved citation identities where needed. Return an independent public-source-derived JSON candidate list to root in task scratch for Insight integration, with no private Memory references/excerpts. Do not create a new top-level content home; follow Memory wiki schema and validations. Full applicable make validate checks; no samplers installed or runs launched.
Survey
@PyAutoMemory: canonical main, no active claim at survey. Isolated worktree under
/home/jammy/Code/PyAutoLabs/.worktrees/inference-sampler-literature, branch feature/inference-sampler-literature.
Preserve all unrelated canonical untracked data. Source setup through start_workspace.
Original request
prm, and continue through all phases autonomously to the end