PriyangaPKini shared in

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Clarified Arm C optimization strategyPublic

Agent

Model

GPT-5.5

Started

Aug 21, 12:18 PM

Messages1,509

Downloads0

Workspace

Repo

nilenso/ai-playground

Summary

In Progress

Understand
Reviewed plan and current agent progress.
Understand
Understand
Analyzed Arm C optimizer and proposer prompts.
Understand
Verify
Explained optimization focus and evaluation distribution.
Verify

Here is the plan /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md

I read docs/plan.md.

Workflow checkpoint before implementation:

Current branch: feat/autoresearch
Its PR is already merged: #120
Deployment branch: main
Worktree is dirty with many unrelated deletions under ../editing-in-progress/ and untracked files/directories, including tools/dashboard/lever-history
Because the current branch is merged and the worktree is dirty, I should not start editing yet.

Detected next implementation sequence from the plan:

Phase 0a: add --setting-sources project to the claude -p invocation in runner.py
Phase 1: build autoresearch/agenteval/contract.py
Then proceed with taxonomy/probe/sabotage in later slices

Given the plan size, this should use sliced delivery, starting from a fresh branch off main.

Please confirm how you want me to proceed:

Clean/stash/ignore the unrelated dirty work and create a new branch from main, or
Stay on this branch and make changes without PR workflow, or
Only implement Phase 0a first as a small direct change.

I was running the experiment from claude c1b969b9-2854-4487-b27a-158d586ea4c4. claude subscription ran out, can you get the conetxt from the session and resume. I was Running in a research loop. This particular session was my horse reader. I have another pains which have my arm A, B and C and my orchestrator would give directions to all these arms. You will get all the context if you go through all my session context of clothes. Clarify any questions you have before

I found the context.

Main Claude session: c1b969b9-2854-4487-b27a-158d586ea4c4
Existing panes:
- arm-a session 212fdc91... — idle
- arm-b session 6327f806... — idle
- arm-c session a66b8580... — idle
- old orchestrator session is done
Durable handovers read:
- experiments/arm-a/HANDOVER.md
- experiments/arm-b/HANDOVER.md
- experiments/arm-c/HANDOVER.md
Current superseding plan read:
- docs/plan.md
Important memory found:
- decisions are yours; I should bring choices back, not decide
- parallel runs need separate BOTMAP_REPO
- global ~/.claude/skills/botmap is still disabled by Arm A

Before I resume, I need these clarifications:

Role: Should I resume as the orchestrator/reader only, coordinating arms and asking decisions, or should I also implement the first blocking changes myself?
Arms: Since Claude subscription ran out, should I:
- keep the old Claude panes as read-only historical context, and proceed in this Pi session, or
- try to re-prompt the existing arm-a/b/c panes anyway, or
- replace them with Pi subagents/new workers?
First work item: Do you want to follow docs/plan.md exactly, starting with:
- Phase 0a: add --setting-sources project in runner.py, then
- Phase 1: agenteval/contract.py, or should I only reconstruct/report state first?
Git/worktree: Current repo has unrelated dirty deletions under editing-in-progress/. Can I ignore those and work only under autoresearch/, or should I stop until the worktree is cleaned?
Global botmap skill: Should it stay disabled for experiment isolation, or should I restore it now for your normal Claude use?

your role as an orchestrator so the common first blocking changes you can do in your Pi sessions since a subscription ran out I want to use you to use proceed in proceed with pi agents you know spin up three pie agents for on A and B and Rave all the context that was there necessary for it to kickstart so the autoresearch loop loop require you to run cloud in interactive mode which you can use open router subscription so I have the API key in.env so you should be able to access the open router the same cloud patents are specified so use the thing for it and so the experiment itself is based on cloud interactive mode that will remain the same yeah I want you to follow the plan exactly let me know what is the editing in progress dirty changes like we'll review that first and we'll decide what to do with it so for the board map for the arm A should be using a skill it should have access to board map skill which is part of the tool in some way there was a reason why it was disabled try to find out that reason and try to get all the context related to it

The Pi-agent launch failed because the subagent runtime is broken, not because of the task:

So I cannot safely spin up Arm A/B/C as Pi subagents until that dependency is repaired.

Dirty `editing-in-progress` state

Current branch: feat/autoresearch.

The dirty changes are not small edits — the entire tracked editing-in-progress/ project is deleted from the working tree:

67 tracked files deleted
11271 deletions(-)
ls editing-in-progress says the directory does not exist

Recent commits show it is an active tracked project, not generated junk:

Untracked unrelated things also exist:

I will not clean or restore this without your decision.

Why the botmap skill was disabled

The global Claude skill was moved from:

to:

Reason from WHY-MOVED.txt:

All 20 baseline eval runs loaded THIS global skill instead of the project-scoped copy that evals/runner.py installs into its temp workdir. That made the prompt lever untestable: edits to botmap/data/skill.md were written to a file the agent never read.

So for the experiment, the global botmap skill should stay disabled. The agent under test must read the project-scoped skill copied into the temp workdir.

This matches Phase 0 of docs/plan.md: add --setting-sources project to the claude -p invocation so the agent sees project settings/skills only.

Current command in autoresearch/runner.py does not include it yet.

Decisions needed before I proceed

For editing-in-progress/, should I:
- restore it with git checkout -- editing-in-progress, or
- leave it dirty and only touch autoresearch/, or
- stop until you inspect it manually?
For Pi subagents, should I:
- repair the Pi subagent dependency (typebox/compile) and then launch Arm A/B/C, or
- avoid subagents and orchestrate manually in this parent Pi session for now?
For the global botmap skill:
- keep disabled for experiment isolation, or
- restore it for your normal Claude use and rely only on --setting-sources project once Phase 0 lands?

Can you spin up agents like pie in different sessions and communicate it with the three different sessions for AM ABC each session can be a tab in herder

Done — I spun up three Pi agents in separate Herdr tabs and briefed each with the relevant context.

Arm	Herdr agent	Tab	Pane	Status
Arm A	`pi-arm-a`	`w2:t1A`	`w2:p1K`	working
Arm B	`pi-arm-b`	`w2:t1B`	`w2:p1M`	working
Arm C	`pi-arm-c`	`w2:t1C`	`w2:p1N`	working

I instructed them to:

read docs/plan.md
read their old experiments/arm-*/HANDOVER.md
read the relevant Claude memory files
not edit files yet
not spend API/model quota
prepare readiness reports for their arm

Also confirmed the botmap global skill reason:

~/.claude/skills/botmap is still disabled.
It was disabled because it shadowed the project-scoped botmap/data/skill.md, making prompt-lever experiments invalid.
I told arms not to restore it.

I have a live dashboard here http://localhost:8765/ which updates the experiment data. As an orchestrator poll each arm and lemme know if any decision needs to be made, I can answer them you will relay it to the arms. You will be messaging them, they can signal you but they cannot talk to each other. All primary decision has to be run by me

Polled all three arms. All returned READY reports. No arm is editing or spending quota.

Decisions needed from you

1. Phase 0a validation spend

After I add --setting-sources project to autoresearch/runner.py, may Arm B / I spend two cheap Claude probe calls to verify:

project-scoped botmap skill is visible
personal/global skills are not visible
a normal question still completes

Options:

A. Yes, spend the two probes
B. No, only do static/unit validation for now

2. Record-v2 clean calls

For record-v2.json, failures have classes A–F. What should clean calls store?

Options:

A. "class": null
B. omit "class" for clean calls
C. use "class": "clean" even though plan says A–F

3. Arm A fixture sources

May Arm A use old untracked Arm A notes as sabotage fixture evidence?

Path:

Options:

A. Yes, use them as evidence sources
B. Use only committed autoresearch artifacts
C. First copy/preserve them into autoresearch before using

4. C1 `count-zero-hint` candidate identity

Future paired experiments need one exact candidate.

Options:

A. Use measured commit 99d993f
B. Use branch head 9a2496d — has post-review fix but was not remeasured
C. Rebuild fresh against the new evaluator contract

5. Class F ignored-hint window

How strict should ignored-hint detection be?

Options:

A. strict: hint at call N, not used at N+1
B. richer: record ignored for next K calls and eventual use
C. both: strict boolean plus richer detail

6. Quota exhaustion representation

Quota failures may happen with no botmap call.

Options:

A. attempt-level class E outside CallVerdict
B. extend contract with attempt verdict
C. force into a synthetic call verdict

7. Class B for exit-0 hints

If botmap exits 0 but prints “did you mean” / recovery guidance, should taxonomy normalize it as guided failure?

Options:

A. yes: treat as error + guided ⇒ Class B
B. no: only nonzero exits can be Class B
C. distinguish as its own guided-empty shape but derive to B

Non-decision status

Dirty editing-in-progress/: still 67 tracked deletions. I have not touched it.
Global botmap skill remains disabled intentionally.
Pi subagent tool is broken, but Herdr Pi tabs are working:
- pi-arm-a
- pi-arm-b
- pi-arm-c

Once you answer the blocking decisions, I’ll relay them to the arms and proceed with Phase 0a + contract.py.

for the question one go with the option A and verify which is pending spend the two props and verify for option two sorry for question number two record V2 clean calls let the schema say use class equal to clean or actually no use class equal to null use option A for question number two question number three fix your source for question three first copy and preserve them to auto research before using and then use the old untracked amenes as support as fixture evidence question number four I don't understand the question number four we can discuss it further going back to question number five how strict should they ignore hint detection be strict hint all colon not used for option C for option quest number 5 let it have the rich details six quarter exhaustion representation quota failures may happen with no board map call attempt level class the outside call with excellent contract with attempt verdict yeah extend contract with attempt verdict option b class question number seven class b for exit zero hints if bought my prince did you mean or recurring hints should taxon be normalized as guided figure see when it prints did you mean in the night the in the next iteration agent should be able to use this hint and recover itself if it has not done it then it's a failure like error and there was a guided but it failed still you know keep path

What is in the editing in progress folder? Report me back with it and then I'll decide if I need to keep it or not

editing-in-progress/ is a tracked project that is currently deleted from your working tree.

What it is

From its README: Editing in Progress is a local-first collaborative Markdown editor written in Deno/TypeScript.

Main pieces:

server/ — Deno CLI, HTTP/WebSocket transport, SCRAM-SHA-256 auth, room policy, Automerge document handling, persistence/recovery
ui/ — React 19 + MDXEditor + Automerge interface
native/ — vendored WebUI native libraries for macOS/Linux, x86/ARM
vendor/deno-webui/ — vendored Deno-WebUI loader
scripts/ — build/check scripts
config.example.toml, deno.json, deno.lock

It supports:

local editor app
in-memory room coordinator
remote collaboration over WebSocket protocol collab.v1
native WebView window via Deno-WebUI, with macOS browser fallback
packaging self-contained binaries with native sidecar libraries

Current dirty state

The entire directory is missing locally:

Git sees this as:

Recent history

Recent commits touching it:

text

3276e99 Add macOS browser fallback2bb444f Prevent duplicate editor processesada971d Improve coordinator transport diagnostics592ae8e Add manual coordinator reconnect8c52131 fix: add collaboration connection diagnosticsce80ae4 fix: keep Linux browser editor alive23dafcb fix: capture editor keyboard shortcuts464aa5d fix: use browser window on Linux0ef60b9 fix: allow Automerge WebAssembly in editor18411a4 fix: open editor when command has no argumentsf04a3eb fix(ci): build UI before testsad10af9 feat: add collaborative Markdown editor

So this is not build output or cache; it is a real tracked app in the monorepo.

Decision options:

Keep it: restore with git checkout -- editing-in-progress
Delete it intentionally: leave deletion and later commit removal
Defer: leave dirty for now, and I will avoid touching it while working only in autoresearch/

I think this is the dashboard code Can you check why where this was moved to and all the changes are there you can access it from the here

I checked. The live dashboard is not editing-in-progress/.

Dashboard location

The dashboard serving http://localhost:8765 is running from:

Process:

Tracked dashboard files:

These were added in commit:

That commit added 1,276 lines and did not move files from editing-in-progress/.

Untracked dashboard state

There is one untracked dashboard path:

It is currently just an empty/generated sampler directory. The dashboard README says it snapshots transient GEPA candidate versions there. It is runtime data, not source.

What `editing-in-progress/` is

editing-in-progress/ is a separate tracked Deno/TypeScript collaborative Markdown editor project. It is not the dashboard.

So my read is:

Keep dashboard: already lives under autoresearch/tools/dashboard/
editing-in-progress/: unrelated to dashboard
Its deletion is probably accidental unless you intentionally want to remove that whole editor project.

accidental

Restored editing-in-progress/.

Current dirty state now only has untracked files/directories:

No tracked deletions remain.

resume on the plan

I am going to sleep, continue the work according to the plan.

make sure to poll the arms once you have delegated tasks and check on them, while I am away, you can take sensible decision according to my plan. This experiment needs to be completed, it;s very important. Let the dashboard update with live data.

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Summary

Dirty editing-in-progress state

Why the botmap skill was disabled

Decisions needed before I proceed

Decisions needed from you

1. Phase 0a validation spend

2. Record-v2 clean calls

3. Arm A fixture sources

4. C1 count-zero-hint candidate identity

5. Class F ignored-hint window

6. Quota exhaustion representation

7. Class B for exit-0 hints

Non-decision status

What it is

Current dirty state

Recent history

Dashboard location

Untracked dashboard state

What editing-in-progress/ is

Summary

Dirty editing-in-progress state

Why the botmap skill was disabled

Decisions needed before I proceed

Decisions needed from you

1. Phase 0a validation spend

2. Record-v2 clean calls

3. Arm A fixture sources

4. C1 count-zero-hint candidate identity

5. Class F ignored-hint window

6. Quota exhaustion representation

7. Class B for exit-0 hints

Non-decision status

What it is

Current dirty state

Recent history

Dashboard location

Untracked dashboard state

What editing-in-progress/ is

Dirty `editing-in-progress` state

4. C1 `count-zero-hint` candidate identity

What `editing-in-progress/` is

Dirty `editing-in-progress` state

4. C1 `count-zero-hint` candidate identity

What `editing-in-progress/` is