**Its reasoning is read back afterwards**, and sorted into two buckets that need different fixes. Both land in `blocked-files.txt` and `summary.json`. *An existing file we left out* — just add it next run: ``` GEPA REFERRED TO EXISTING FILES IT COULD NOT ED] --- 66 assistant 2026-08-20T08:20:15.750Z --- [tool_use Bash {'command': 'grep -n "add_argument\\|def main\\|argparse" autoresearch/optimize.py | head -60', 'description': 'Extract optimize CLI flags'}] --- 67 user 2026-08-20T08:20:15.864Z --- [tool_result 24:import argparse 259:def main() -> None: 260: p = argparse.ArgumentParser(description=__doc__, 261: formatter_class=argparse.RawDescriptionHelpFormatter) 262: p.add_argument("--lever", choices=sorted(config.LEVERS), default="tool", 264: p.add_argument("--bud] --- 70 assistant 2026-08-20T08:20:33.682Z --- Context gathered. Before I spin up the panes, let me check the mechanism and confirm the three variants. --- 71 assistant 2026-08-20T08:20:35.494Z --- [tool_use Bash {'command': 'ls -la ~/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/*.jsonl 2>/dev/null | tail -5; echo "--- blocked ---"; cat experiments/runs/tool-3009509-1787049966/block] --- 72 assistant 2026-08-20T08:20:35.505Z --- [tool_use Skill {'skill': 'herdr'}] --- 73 user 2026-08-20T08:20:35.596Z --- [tool_result -rw-------@ 1 priyangapkini staff 529096 20 Aug 11:57 /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/0f579b33-6264-40c1-ba2f-3146add61f02.jsonl -rw-------@ 1 priyangapkini staff 63998 17 Aug 20:32 /Users/priyangapkini/.claude/projects/-Users-priyan] --- 74 user 2026-08-20T08:20:35.600Z --- [tool_result Launching skill: herdr] --- 75 user 2026-08-20T08:20:35.599Z --- Base directory for this skill: /Users/priyangapkini/.claude/skills/herdr # Herdr Herdr organizes terminals into workspaces, tabs, and panes, recognizes coding agents running inside panes, and exposes the current session through the `herdr` CLI. Before issuing any control command, verify that this agent is running inside a Herdr-managed pane: ```bash test "${HERDR_ENV:-}" = 1 ``` If the check fails, say that you are not running inside Herdr and stop. Do not inspect or control the focused Herdr session from outside Herdr. When the check passes, the `herdr` binary in `PATH` talks to the current session. Use it to inspect neighboring work, create terminal layout, start agents and commands, read output, and wait for state changes. ## Learn the current CLI The installed binary is the authority for command syntax. Start with: ```bash herdr --help ``` Then print the relevant command group by running the group without a subcommand: ```bash herdr agent herdr pane herdr workspace herdr tab herdr worktree herdr terminal herdr notification herdr integration herdr session ``` Do not run bare `herdr` for discovery; it launches or attaches the TUI. Do not probe a mutating nested command by omitting arguments. Commands such as `herdr workspace create` are valid with defaults and will execute. Most control commands return JSON. Read identifiers and state from those responses instead of predicting them. ## Understand layout, panes, and agents Choose the primitive that matches the job: - Workspace, tab, and pane topology organize terminal locations. - Pane commands control raw terminals, shells, tests, servers, input, and output. - Agent commands control the recognized coding agent currently occupying a pane. A pane exists whether or not it contains an agent. `agent start` requires an existing available shell pane and never creates, splits, or moves layout. Use pane commands for ordinary processes. Use agent commands when Herdr must validate agent identity or interpret --- 84 assistant 2026-08-20T08:20:49.883Z --- Context is in place. Here's what the last run tells us: **Run `tool-3009509` (lever=tool, budget 60, 254 min):** 61 evaluations, only **3 candidates tried**, and only `geocoding.py` actually changed. The loud signal is in `blocked-files.txt` — GEPA reached for `botmap/core.py` **35 times** and couldn't edit it, plus wanted four files that don't exist (`AGENTS.md`, `SKILL.md`, `catalog.py`, `data.py`). So the interesting next experiments are basically written for us. Two things I need from you before spinning panes: --- 85 assistant 2026-08-20T08:20:58.838Z --- [tool_use AskUserQuestion {'questions': [{'question': 'Which three variants should the parallel runs test?', 'header': 'Variants', 'multiSelect': True, 'options': [{'label': 'Widen: +core.py +cache.py', 'description': '--lever] --- 86 user 2026-08-20T08:26:48.911Z --- [tool_result Your questions have been answered: "Budget per run? Each evaluation is roughly $0.50 and ~3 min, and three run concurrently."="60 each (~$90, ~4h)". You can now continue with these answers in mind.] --- 89 assistant 2026-08-20T08:27:00.491Z --- Budget noted: **60 each**. You didn't pick variants, so I'll go with the three that span the design space best — widen scope, change lever, go deeper — and you can redirect any pane after it starts: 1. `tool` + `core.py`/`cache.py` (chases the 35× signal) 2. `prompt` lever (the A/B the README asks for) 3. `geocoding.py` narrow & deep (full budget on the one file that moved) Let me verify the fork mechanism and that three concurrent runs won't collide: --- 90 assistant 2026-08-20T08:27:01.199Z --- [tool_use Bash {'command': 'claude --help 2>&1 | grep -iE "resume|fork-session|session-id" ', 'description': 'Check claude resume/fork flags'}] --- 91 user 2026-08-20T08:27:01.431Z --- [tool_result --fork-session When resuming, create a new session ID with --resume or --continue) --from-pr [value] Resume a session linked to a PR by PR (shown in the prompt box, /resume ] --- 92 assistant 2026-08-20T08:27:01.985Z --- [tool_use Bash {'command': 'sed -n \'1,60p\' autoresearch/worktree.py; echo "=== CREDITS ==="; sed -n \'1,50p\' autoresearch/credits.py', 'description': 'Check worktree isolation and credits check'}] --- 93 user 2026-08-20T08:27:02.071Z --- [tool_result """Private copies of the tool, so experiments can't tread on each other. A git worktree is a second checkout of the same repository in another folder. We give each worker its own, write the candidate version of the file into it, and run the questions there. Nothing we do touches your real checkout.] --- 96 assistant 2026-08-20T08:27:07.321Z --- [tool_use Bash {'command': 'sed -n \'58,120p\' autoresearch/worktree.py; echo "=== who calls Pool ==="; grep -rn "Pool(\\|acquire(\\|base=" autoresearch/*.py | grep -v "^autoresearch/worktree.py"', 'description': 'C] --- 97 user 2026-08-20T08:27:07.422Z --- [tool_result def acquire(self) -> Path: """The calling thread's private copy, made on first use.""" key = threading.get_ident() with self._lock: if key not in self._trees: self._trees[key] = self._create(f"{self.sha}-{len(self._trees)}") return ] --- 105 assistant 2026-08-20T08:27:25.627Z --- Found a real blocker before launching — worth stating plainly. --- 106 user 2026-08-20T08:27:26.755Z --- [Request interrupted by user] --- 108 user 2026-08-20T08:32:04.265Z --- None of your earlier suggested options is what I want to try. I want to try three new options that I have, three new ideas. First one is write a skill.md where the skill will have all the instruction to run an O2 research loop. So you're not essentially writing any JPEG code or anything. The skill will spin up an agent, it will run a loop on its own. It will try to achieve the goal without me writing the code first. It's just a skill that will spin up the auto research. Second one is just give the skill.md from the board map and try to optimize the skill.md file, just a skill.md file and see how the tool improves in the third pane. I want you to take the proposal as an input and try to wait I don't want that the third one could be to give more context on the repo to JPA. So instead of optimizing one file per run it'll be good to go in another direction you know like try to improve the age and experience to maybe give the full repo context first the optimization could be optimizing the agent interface optimizing or reducing the agent struggle which means reducing the agent failures so different agent failures could be like right you know the recovery error recovery could be improved agents should have like more context on the reducing the number of turns agent takes to complete the task so we can reduce the wasteful commands it does so like reducing the optimizing the path to the current comment that could be the goal giving transparent feedback loop to prevent silent failures better guidance on how to use a CLI through skill or CLI help commands so these are the different things that I want to try out you know let's first create a plan on how we can proceed with this let's see like what are the missing things or like if you need more clarifications we can go over it and then we can execute these three options in parallel --- 111 assistant 2026-08-20T08:32:21.423Z --- Good — those are much more interesting than what I offered. Let me read the pieces I'd need to plan against, then lay out the plan and my open questions. --- 112 assistant 2026-08-20T08:32:23.544Z --- [tool_use Bash {'command': 'echo "=== config.py ===" && cat autoresearch/config.py', 'description': 'Read config.py for levers and paths'}] --- 113 user 2026-08-20T08:32:23.652Z --- [tool_result === config.py === """Everything that must stay the same across the whole run. If any of these changed mid-run, two measurements couldn't be compared, and the whole search would be chasing its own tail. So they live in one place and nothing else is allowed to override them. The only thing imported ] --- 114 assistant 2026-08-20T08:32:24.057Z --- [tool_use Bash {'command': 'echo "=== score.py ===" && cat autoresearch/score.py && echo "=== taxonomy.py ===" && cat autoresearch/taxonomy.py', 'description': 'Read score.py and taxonomy.py'}] --- 115 user 2026-08-20T08:32:24.131Z --- [tool_result === score.py === """Turns one attempt at a question into a number, plus a written explanation. The explanation matters as much as the number here. GEPA improves things by reading *why* something failed, so every score comes with the commands that were run and what went wrong with them. """ from __] --- 123 assistant 2026-08-20T08:32:29.431Z --- [tool_use Bash {'command': 'echo "=== trace.py ===" && cat autoresearch/trace.py', 'description': 'Read trace.py'}] --- 124 user 2026-08-20T08:32:29.544Z --- [tool_result === trace.py === """Reads the two things a single question leaves behind. 1. The command log: every `botmap ...` the AI ran, with what came back. 2. The transcript: what the AI finally said, and what it cost. Together these are the raw evidence. The score is derived from them, and the same evidenc] --- 125 assistant 2026-08-20T08:32:30.895Z --- [tool_use Bash {'command': 'echo "=== skill.md ==="; wc -l ~/workspace/botmap/botmap/data/skill.md; head -40 ~/workspace/botmap/botmap/data/skill.md; echo; echo "=== runner.py head ==="; sed -n \'1,70p\' autoresearc] --- 126 user 2026-08-20T08:32:33.086Z --- [tool_result === skill.md === 267 /Users/priyangapkini/workspace/botmap/botmap/data/skill.md --- name: botmap description: Use when a user's question or task involves places, buildings, roads, addresses, neighborhoods, or other geographic features — even if they don't use geo terms. Examples: "how many coff] --- 129 assistant 2026-08-20T08:33:13.708Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== num_turns usage ==="; grep -rn "num_turns\\|len(calls)\\|len(a.calls)" autoresearch/ --include=*.py; echo "=== object] --- 130 user 2026-08-20T08:33:13.804Z --- [tool_result === num_turns usage === (eval):1: no matches found: --include=*.py] --- 131 assistant 2026-08-20T08:33:14.808Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== proposer.py ==="; sed -n \'1,45p\' autoresearch/proposer.py; echo "=== optimize.py 100-175 ==="; sed -n \'100,175p\' ] --- 132 user 2026-08-20T08:33:14.890Z --- [tool_result === proposer.py === """Lets the Claude Code subscription do the proposing, instead of an API key. GEPA normally reaches its model through litellm, which bills an API key. But it will accept any callable of the shape `(prompt) -> text`, so we can hand it the `claude` command line instead -- the same] --- 140 assistant 2026-08-20T08:33:20.658Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== num_turns / call-count in scoring ==="; grep -rn "num_turns" autoresearch/ ; echo "--- objective/efficiency callers -] --- 141 user 2026-08-20T08:33:22.582Z --- [tool_result === num_turns / call-count in scoring === autoresearch/trace.py:54: num_turns: int = 0 autoresearch/trace.py:135: num_turns=int(result.get("num_turns") or 0), --- objective/efficiency callers --- autoresearch/config.py:93:WEIGHTS = {"correctness": 0.60, "token_efficiency": 0.20, "wallc] --- 144 assistant 2026-08-20T08:33:49.978Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; grep -n "def load\\|def measure\\|CACHE\\|baselines" autoresearch/baseline.py | head -20; echo "--- cached baselines ---"; find] --- 145 user 2026-08-20T08:33:50.105Z --- [tool_result 45: return config.ROOT / "experiments" / "baselines" / f"{sha}.json" 48:def load(sha: str) -> dict[str, Reading] | None: 56:def measure(questions: list[Question], tree: Path, sha: str, --- cached baselines --- experiments/baselines experiments/baselines/3009509.json artifacts baselines logs propo] --- 148 assistant 2026-08-20T08:34:09.111Z --- Context is complete. Here's the plan, and the three things I need you to decide. ## What I found that changes the shape of this **1. Your arm 2 already exists.** `config.py:84` defines `LEVERS["prompt"] = ("botmap/data/skill.md",)`, and `runner.py::_install_instructions` copies that file into `.claude/skills/botmap/SKILL.md` for the agent to read. So "optimize just the skill.md" is literally `--lever prompt`. No code to write — and because it's one file instead of four, all 60 evaluations land on it (~60 attempts vs ~15/file last run). **2. Your arm 3 is half-built already.** `trace.py:54` captures `num_turns` per attempt — and nothing scores it. Same for command count. The scorer only looks at *did it finish*, *did it fall back to `download`*, *did it error*. So "reduce agent struggle" is mostly a **scoring change**, not new plumbing. Signals available today with zero new instrumentation: | Signal | Where it already lives | Used in score? | |---|---|---| | turns taken | `trace.py:54` `num_turns` | ❌ | | commands run | `len(attempt.calls)` | ❌ | | wasted commands before first success | `score.py:59` `first_bad` | partially | | **silent failure** (exit 0 but wrong) | `taxonomy.py:33` `bad_category_value` | ❌ (only as generic error) | | error recovery | `score.py:69` `a.recovered` | ✅ (softens penalty only) | That last one is worth noting — `BACKGROUND` already calls silent zero-results *"the worst failure mode in the system"*, but the score barely distinguishes it from a typo. **3. Baseline is cached.** `experiments/baselines/3009509.json` exists, so any run at that commit skips the ~1hr/$15 yardstick measurement. All three arms share it if they all sit at `3009509`. ## Blocker: three GEPA runs in parallel will corrupt each other `worktree.py:47` builds its private copy at `{BOTMAP_REPO}/../botmap-oa-{sha}-{index}`. With `--workers 1` the index is always `0` and the sha is the same, so all three runs resolve to **the same path** — and `_create` does `if path. --- 149 assistant 2026-08-20T08:34:23.334Z --- [tool_use AskUserQuestion {'questions': [{'question': 'Arm A — how much should the skill-driven loop reuse the existing harness?', 'header': 'Arm A scope', 'multiSelect': False, 'options': [{'label': 'Reuse measurement, agent ] --- 150 user 2026-08-20T08:42:21.708Z --- [tool_result The user answered: "Arm A — how much should the skill-driven loop reuse the existing harness?"="use the exisiting evals from botmap repo. use the questions.yaml", "Arm C braids two changes. Which do we actually run?"="Both, as you described", "Which agent-struggle signals should the new scorer rewar] --- 158 assistant 2026-08-20T08:42:26.666Z --- All four metrics, both C changes, and Arm A grounded in botmap's own evals. Let me look at that evals directory — I haven't seen it yet. --- 159 assistant 2026-08-20T08:42:27.339Z --- [tool_use Bash {'command': 'cd ~/workspace/botmap; ls -la evals/; echo "=== justfile eval targets ==="; grep -n -A3 -i "eval" justfile | head -40', 'description': 'Inspect botmap evals directory'}] --- 160 user 2026-08-20T08:42:29.487Z --- [tool_result total 96 -rw-r--r--@ 1 priyangapkini staff 127 27 Jul 15:55 __init__.py drwxr-xr-x@ 11 priyangapkini staff 352 15 Aug 01:21 __pycache__ drwxr-xr-x@ 13 priyangapkini staff 416 17 Aug 13:48 . drwxr-xr-x@ 27 priyangapkini staff 864 19 Aug 18:33 .. -rw-r--r--@ 1 priyangapkini staff 3742 ] --- 163 assistant 2026-08-20T08:42:37.976Z --- [tool_use Bash {'command': 'cd ~/workspace/botmap; cat evals/README.md; echo "=== q counts ==="; grep -c "^- id:\\|^ - id:\\|id:" evals/questions.yaml; grep -c "id:" /Users/priyangapkini/nilenso/ai-playground/autor] --- 164 user 2026-08-20T08:42:39.835Z --- [tool_result # Agent-Usability Eval Measures whether an agent can answer geospatial questions with the Overture CLI without falling back to `download` and without CLI errors. See the design spec: `docs/superpowers/specs/2026-05-28-agent-usability-eval-design.md`. ## Run it ```bash just eval # ] --- 167 assistant 2026-08-20T08:43:01.435Z --- Everything checks out. Final plan below — then I'll set up and launch. --- 168 assistant 2026-08-20T08:43:03.539Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; python3 -c "\nfrom autoresearch import config\nconfig.load_env()\nimport os\nfrom autoresearch import credits\nk=os.environ.get] --- 169 assistant 2026-08-20T08:43:04.591Z --- [tool_use Bash {'command': 'cd ~/workspace/botmap; du -sh .git; git log --oneline -1; git rev-parse --short HEAD; echo "--- status clean? ---"; git status --porcelain | head; echo "--- 3009509 exists? ---"; git cat-] --- 170 user 2026-08-20T08:43:06.457Z --- [tool_result key set: True granted $1430.00 used $1347.04 REMAINING $82.96] --- 176 user 2026-08-20T08:43:08.474Z --- [tool_result 2.0M .git 3009509 docs: lead README with agent-first Quick Start 3009509 --- status clean? --- M .gitignore ?? .claude/ ?? node_modules/ ?? package-lock.json ?? package.json --- 3009509 exists? --- commit Shell cwd was reset to /Users/priyangapkini/nilenso/ai-playground/autoresearch] --- 181 assistant 2026-08-20T08:43:32.834Z --- Balance: **$82.96**. Baseline is cached, so no $15 yardstick charge. Now the isolation setup — there's a second collision beyond the worktree one: --- 182 assistant 2026-08-20T08:43:34.148Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch; echo "=== .gitignore ==="; cat .gitignore; echo "=== is baselines tracked? ==="; git check-ignore -v experiments/baselines/3009] --- 183 user 2026-08-20T08:43:36.389Z --- [tool_result === .gitignore === .venv/ .env .env.* __pycache__/ .pytest_cache/ # Generated by runs experiments/runs/ experiments/baselines/ experiments/logs/ # Agent scratch space .pi-subagents/ # Supporting research and the previous TypeScript implementation — kept on # disk for reference, but not part of wh] --- 187 assistant 2026-08-20T08:44:13.094Z --- Two things landed at once — let me fold the feedback in, because it materially changes Arm A. **How the feedback changes the plan:** - **Arm A gets a real spec now.** Govind's "structure it as *skills*" is more specific than what I had: **two** skills — one that reads a file set and *proposes*, another that *implements and tests* to verify the gain. Atharva adds the search strategy to bake in: mini-batch the eval cases (running all 30×2 is wasteful), propose 2–3 candidates, score them on an *overlapping subset* to build a Pareto, pick the dominant winner. His point that "GEPA uses significant code scaffolding, but you can get similar results by instructing an agent to apply those strategies" is exactly Arm A's thesis — so Arm A is now a direct test of it. - **Reward-hacking validation is an assigned next step**, not a nice-to-have ("Priyanga to test sub-agent validation..."). It slots into Arm A cleanly — a sub-agent inspects each candidate and rules on whether it's overfitting to a specific eval. Adding it to the GEPA arms would need scaffolding; in Arm A it's a paragraph of instructions. - **Arm B vs Arm C is exactly the agreed next step** ("broader repository access versus isolated skill.md improvements"). No change needed — the split already matches. - **Srihari's "context lens"** is a genuinely fourth idea, and it targets Arm B's file. I'd seed it as a directive in Arm B rather than spawn a fourth run. **Also found:** `experiments/baselines/` is gitignored (`.gitignore:9`). So a fresh checkout for Arm C would *not* inherit the cached `3009509.json` and would re-measure the baseline — ~1hr and ~$15 wasted. I'll copy it across. Starting setup now — the clones are slow, so they go first: --- 188 assistant 2026-08-20T08:44:15.485Z --- [tool_use Bash {'command': 'set -e\nfor arm in a b c; do\n d=~/workspace/ar-$arm\n mkdir -p "$d"\n if [ ! -d "$d/botmap/.git" ]; then\n git clone --quiet ~/workspace/botmap "$d/botmap"\n git -C "$d/botmap" ] --- 189 user 2026-08-20T08:44:17.851Z --- [tool_result cloned ar-a at 3009509 cloned ar-b at 3009509 cloned ar-c at 3009509] --- 199 assistant 2026-08-20T08:44:24.063Z --- [tool_use Bash {'command': 'cd ~/workspace/ar-a/botmap && uv sync 2>&1 | tail -3', 'description': 'Install deps in Arm A botmap clone', 'run_in_background': True}] --- 200 user 2026-08-20T08:44:26.257Z --- [tool_result Command running in background with ID: bg7wapraz. Output is being written to: /private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/tasks/bg7wapraz.output. You will be notified when it completes. To check interim output, use Read on that] --- 201 assistant 2026-08-20T08:44:28.206Z --- [tool_use Bash {'command': 'set -e\ncd /Users/priyangapkini/nilenso/ai-playground\nWT=/Users/priyangapkini/nilenso/ar-c-autoresearch\nif [ ! -d "$WT" ]; then\n git worktree add --quiet -b feat/agent-struggle-scorer] --- 202 user 2026-08-20T08:44:30.364Z --- [tool_result 3009509.json env: copied worktree: /Users/priyangapkini/nilenso/ar-c-autoresearch branch feat/agent-struggle-scorer Shell cwd was reset to /Users/priyangapkini/nilenso/ai-playground/autoresearch] --- 206 assistant 2026-08-20T08:44:43.193Z --- Arm A's skills need runnable commands, so let me check what `evals/runner.py` actually accepts: --- 207 assistant 2026-08-20T08:44:44.710Z --- [tool_use Bash {'command': 'cd ~/workspace/ar-a/botmap; grep -n "add_argument\\|def main" evals/runner.py; echo "=== score.py args ==="; grep -n "add_argument\\|def main" evals/score.py; echo "=== synthesize args ==] --- 208 user 2026-08-20T08:44:46.625Z --- [tool_result 138:def main() -> None: 140: p.add_argument("--questions", type=Path, default=DEFAULT_QUESTIONS) 141: p.add_argument("--repeats", type=int, default=2) 142: p.add_argument("--model", default="sonnet", help="Model alias passed to `claude -p` (e.g. sonnet, opus).") 143: p.add_argument("--ru] --- 211 assistant 2026-08-20T08:44:52.559Z --- Good — `--questions` and `--runs-dir` make mini-batching and per-candidate isolation possible. Writing Arm A's three skills: --- 212 assistant 2026-08-20T08:45:18.861Z --- [tool_use Bash {'command': 'mkdir -p ~/workspace/ar-a/botmap/.claude/skills/autoresearch-loop\ncat > ~/workspace/ar-a/botmap/.claude/skills/autoresearch-loop/SKILL.md <<\'SKILL\'\n---\nname: autoresearch-loop\ndescr] --- 218 user 2026-08-20T08:45:20.959Z --- [tool_result written: 134 lines] --- 221 assistant 2026-08-20T08:45:43.216Z --- [tool_use Bash {'command': 'mkdir -p ~/workspace/ar-a/botmap/.claude/skills/autoresearch-propose\ncat > ~/workspace/ar-a/botmap/.claude/skills/autoresearch-propose/SKILL.md <<\'SKILL\'\n---\nname: autoresearch-propo] --- 222 user 2026-08-20T08:45:45.087Z --- [tool_result propose: 88 lines] --- 224 assistant 2026-08-20T08:46:08.995Z --- [tool_use Bash {'command': 'mkdir -p ~/workspace/ar-a/botmap/.claude/skills/autoresearch-verify\ncat > ~/workspace/ar-a/botmap/.claude/skills/autoresearch-verify/SKILL.md <<\'SKILL\'\n---\nname: autoresearch-verify\] --- 225 user 2026-08-20T08:46:10.902Z --- [tool_result verify: 114 lines autoresearch-loop autoresearch-propose autoresearch-verify] --- 228 assistant 2026-08-20T08:46:32.350Z --- Skills are in place. Now the panes — let me check the layout and Herdr's agent options: --- 229 assistant 2026-08-20T08:46:32.904Z --- [tool_use Bash {'command': 'herdr pane layout --pane "$HERDR_PANE_ID" 2>&1 | head -30', 'description': 'Check current pane layout'}] --- 230 assistant 2026-08-20T08:46:33.471Z --- [tool_use Bash {'command': 'herdr agent 2>&1 | head -50', 'description': 'Check herdr agent command options'}] --- 231 user 2026-08-20T08:46:35.514Z --- [tool_result {"id":"cli:pane:layout","result":{"layout":{"area":{"height":47,"width":163,"x":25,"y":1},"focused_pane_id":"w2:pA","panes":[{"focused":true,"pane_id":"w2:pA","rect":{"height":47,"width":163,"x":25,"y":1}}],"splits":[],"tab_id":"w2:t4","workspace_id":"w2","zoomed":false},"type":"pane_layout"}}] --- 232 user 2026-08-20T08:46:37.996Z --- [tool_result herdr agent commands: herdr agent list herdr agent get herdr agent read [--source visible|recent|recent-unwrapped|detection] [--lines N] [--format text|ansi] [--ansi] herdr agent send-keys [key ...] herdr agent prompt [--wait] [--until STATU] --- 240 assistant 2026-08-20T08:46:55.240Z --- Layout is a single 163×47 pane. I'll make a 2×2 grid — my pane top-left, one arm in each of the others: --- 241 assistant 2026-08-20T08:46:58.724Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch\nAR=/Users/priyangapkini/nilenso/ai-playground/autoresearch\nB=$(herdr pane split --current --direction right --cwd "$AR" --no-f] --- 242 user 2026-08-20T08:47:00.926Z --- [tool_result B=w2:p19 C=w2:p1A D=w2:p1B] --- 245 assistant 2026-08-20T08:47:07.541Z --- Now launching three forked Claude sessions — each inherits this full conversation: --- 246 assistant 2026-08-20T08:47:08.902Z --- [tool_use Bash {'command': 'herdr agent start arm-a --kind claude --pane w2:p19 --timeout 180000 -- --resume c1b969b9-2854-4487-b27a-158d586ea4c4 --fork-session --add-dir /Users/priyangapkini/workspace/ar-a/botmap 2] --- 247 assistant 2026-08-20T08:47:10.322Z --- [tool_use Bash {'command': 'herdr agent start arm-b --kind claude --pane w2:p1A --timeout 180000 -- --resume c1b969b9-2854-4487-b27a-158d586ea4c4 --fork-session --add-dir /Users/priyangapkini/workspace/ar-b/botmap 2] --- 248 assistant 2026-08-20T08:47:11.315Z --- [tool_use Bash {'command': 'herdr agent start arm-c --kind claude --pane w2:p1B --timeout 180000 -- --resume c1b969b9-2854-4487-b27a-158d586ea4c4 --fork-session --add-dir /Users/priyangapkini/nilenso/ar-c-autoresear] --- 249 user 2026-08-20T08:47:14.556Z --- [tool_result {"id":"cli:agent:start","result":{"agent":{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"212fdc91-5d19-4900-a05c-b1110406e7c5"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/U] --- 250 user 2026-08-20T08:47:19.439Z --- [tool_result {"id":"cli:agent:start","result":{"agent":{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"6327f806-6352-4771-ba3b-7da978fd3513"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/U] --- 251 user 2026-08-20T08:47:25.186Z --- [tool_result {"id":"cli:agent:start","result":{"agent":{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"a66b8580-be99-4a96-9d15-f1c03c2b78ba"},"agent_status":"idle","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":false,"foreground_cwd":"/U] --- 254 assistant 2026-08-20T08:47:44.311Z --- All three forked cleanly (note the inherited title — they have the full history). Now briefing each: --- 255 assistant 2026-08-20T08:47:55.757Z --- [tool_use Bash {'command': 'SP=/private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/scratchpad\ncat > $SP/prompt-a.txt <<\'EOF\'\nYou are ARM A of the ] --- 256 user 2026-08-20T08:47:57.857Z --- [tool_result agent_prompted idle] --- 264 assistant 2026-08-20T08:48:15.852Z --- [tool_use Bash {'command': 'SP=/private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/scratchpad\ncat > $SP/prompt-b.txt <<\'EOF\'\nYou are ARM B of the ] --- 265 user 2026-08-20T08:48:17.754Z --- [tool_result agent_prompted] --- 267 assistant 2026-08-20T08:48:41.256Z --- [tool_use Bash {'command': 'SP=/private/tmp/claude-501/-Users-priyangapkini-nilenso-ai-playground-autoresearch/c1b969b9-2854-4487-b27a-158d586ea4c4/scratchpad\ncat > $SP/prompt-c.txt <<\'EOF\'\nYou are ARM C of the ] --- 268 user 2026-08-20T08:48:44.247Z --- [tool_result agent_prompted] --- 270 assistant 2026-08-20T08:48:47.307Z --- [tool_use Bash {'command': 'herdr agent list 2>&1 | python3 -c \'\nimport sys,json\nd=json.load(sys.stdin)\nfor a in d["result"]["agents"]:\n print(f\'"\'"\'{a["name"]:8} {a["pane_id"]:8} {a["agent_status"]}\'"\'] --- 271 user 2026-08-20T08:48:49.347Z --- [tool_result {"id":"cli:agent:list","result":{"agents":[{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"c1b969b9-2854-4487-b27a-158d586ea4c4"},"agent_status":"working","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":true,"foreground_cwd":] --- 274 assistant 2026-08-20T08:48:57.084Z --- All three panes are live and working. Let me record the two things that would be expensive to rediscover: --- 275 assistant 2026-08-20T08:48:58.256Z --- [tool_use Bash {'command': 'M=/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory\nls $M 2>/dev/null; echo "--- MEMORY.md ---"; cat $M/MEMORY.md 2>/dev/null || echo "] --- 276 user 2026-08-20T08:48:58.347Z --- [tool_result --- MEMORY.md --- (none yet)] --- 278 assistant 2026-08-20T08:49:21.430Z --- [tool_use Bash {'command': 'M=/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory\ncat > $M/parallel-runs-need-separate-botmap-repo.md <<\'EOF\'\n---\nname: parallel-] --- 279 user 2026-08-20T08:49:23.290Z --- [tool_result Exit code 1 (eval):2: no such file or directory: /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory/parallel-runs-need-separate-botmap-repo.md (eval):33: no such file or directory: /Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai] --- 287 assistant 2026-08-20T08:49:42.018Z --- [tool_use Bash {'command': 'M=/Users/priyangapkini/.claude/projects/-Users-priyangapkini-nilenso-ai-playground-autoresearch/memory\nmkdir -p $M\ncat > $M/parallel-runs-need-separate-botmap-repo.md <<\'EOF\'\n---\nna] --- 288 user 2026-08-20T08:49:44.443Z --- [tool_result autoresearch-three-arm-experiment.md MEMORY.md parallel-runs-need-separate-botmap-repo.md] --- 290 assistant 2026-08-20T08:50:02.376Z --- All three arms are running. Here's where things stand. ## What's live | Pane | Arm | What it's doing | Isolation | |---|---|---|---| | `w2:p19` | **A** | Runs the loop *as a skill* — no GEPA. Three skills written for it: orchestrator, propose, verify. | `~/workspace/ar-a/botmap` | | `w2:p1A` | **B** | `--lever prompt --budget 60` — clean A/B vs `tool-3009509` | `BOTMAP_REPO=~/workspace/ar-b/botmap` | | `w2:p1B` | **C** | Full-repo context into `background=` + new agent-struggle scorer, then `--lever tool --budget 60` | worktree `~/nilenso/ar-c-autoresearch` on `feat/agent-struggle-scorer`, `BOTMAP_REPO=~/workspace/ar-c/botmap` | Each pane is a Claude session forked from this one, so they inherit the whole planning discussion including your colleagues' feedback. ## Two collisions I had to design around **Worktree paths.** `worktree.py:47` builds its private copy at `{BOTMAP_REPO}/../botmap-oa-{sha}-0` — same path for every run at the same commit — and `_create` *destroys* an existing one. Three concurrent runs would have deleted each other's worktrees mid-flight. Fixed with three separate botmap clones, all pinned at `3009509` so the cached baseline still applies and the arms stay comparable. No code change needed. **Shared harness code.** Arm C edits `score.py` and `config.py`, which Arm B is running from. Arm C got a git worktree so it can't touch Arm B's copy. `experiments/baselines/` is gitignored, so I copied the cached `3009509.json` and `.env` across — otherwise Arm C would have re-measured the baseline for ~1hr and ~$15. ## How the feedback shaped it Govind's "structure it as skills" became three files rather than one — `autoresearch-propose` reads evidence and returns 2–3 competing candidates, `autoresearch-verify` implements and tests them. Atharva's strategy is baked into verify: mini-batch screening (`evals/runner.py` takes `--questions`, so subsets work), the same mini-batch for every candidate in a round, full-suite confirmation only for a final --- 294 user 2026-08-21T11:18:52.866Z --- /compact --- 301 user 2026-08-21T11:20:46.669Z --- This session is being continued from a previous conversation that ran out of context. The summary below covers the earlier portion of the conversation. Summary: 1. **Primary Request and Intent:** The user is working on the `autoresearch` project (at `/Users/priyangapkini/nilenso/ai-playground/autoresearch`), a GEPA-based optimization harness that rewrites the `botmap` CLI to make it easier for AI agents to drive. Their requests evolved across the conversation: - **Initial:** Gather context from the previous run at `experiments/runs/tool-3009509-1787049966` and from prior sessions in the `~/workspace/botmap` project, then continue the experiment. - **Second:** "I want to run 3 different versions of autoresearch loop parallelly. can you spin off of 3 panes with claude forked from this conversation so it has all past history." - **Third (the defining pivot):** The user rejected my suggested variants and specified **three new ideas of their own**: 1. **Arm A** — Write a `skill.md` containing all instructions to run an autoresearch loop. The skill spins up an agent that runs the loop on its own and tries to achieve the goal "without me writing the code first" — i.e., no GEPA code. 2. **Arm B** — Take botmap's `skill.md` and optimize just that one file, and see how the tool improves. (The user began to suggest feeding `proposals.json` as input, then explicitly retracted it.) 3. **Arm C** — Give GEPA **more context on the repo** (full repo context) instead of optimizing one file per run. Reframe the optimization goal as **optimizing the agent interface / reducing agent struggle**, meaning reducing agent failures: better error recovery, more context for the agent, reducing the number of turns, reducing wasteful commands, optimizing the path to the correct command, transparent feedback loops to prevent silent failures, and better guidance on using the CLI through skill or CLI help. - The user asked to **first create a plan**, identify missing --- 302 user 2026-08-21T11:18:52.875Z --- Caveat: The messages below were generated by the user while running local commands. DO NOT respond to these messages or otherwise consider them in your response unless the user explicitly asks you to. --- 303 user 2026-08-21T11:18:52.875Z --- /compact

compact

--- 304 user 2026-08-21T11:20:47.638Z --- [2mCompacted (ctrl+o to see full summary)[22m --- 317 user 2026-08-21T11:47:33.138Z --- Lets continue on the plan? --- 320 assistant 2026-08-21T11:47:38.129Z --- [tool_use Bash {'command': 'herdr agent list 2>&1 | head -60', 'description': 'List running herdr agents'}] --- 321 assistant 2026-08-21T11:47:39.634Z --- [tool_use Bash {'command': 'ls -la /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments/runs/ 2>&1; echo "---AR-C---"; ls -la /Users/priyangapkini/nilenso/ar-c-autoresearch/experiments/runs/ 2>&1 | ta] --- 322 user 2026-08-21T11:47:42.228Z --- [tool_result {"id":"cli:agent:list","result":{"agents":[{"agent":"claude","agent_session":{"agent":"claude","kind":"id","source":"herdr:claude","value":"c1b969b9-2854-4487-b27a-158d586ea4c4"},"agent_status":"working","cwd":"/Users/priyangapkini/nilenso/ai-playground/autoresearch","focused":true,"foreground_cwd":] --- 323 user 2026-08-21T11:47:44.063Z --- [tool_result total 0 drwxr-xr-x@ 9 priyangapkini staff 288 21 Aug 02:52 . drwxr-xr-x@ 12 priyangapkini staff 384 21 Aug 16:40 .. drwxr-xr-x@ 3 priyangapkini staff 96 20 Aug 23:59 baseline-noise-run1-3009509 drwxr-xr-x@ 4 priyangapkini staff 128 21 Aug 03:03 calibration-3009509 drwxr-xr-x@ 4 priyanga] --- 326 assistant 2026-08-21T11:47:49.977Z --- [tool_use Bash {'command': 'herdr agent read arm-a --source recent-unwrapped --lines 150 2>&1 | tail -120', 'description': 'Read arm-a recent output'}] --- 327 assistant 2026-08-21T11:47:50.682Z --- [tool_use Bash {'command': 'herdr agent read arm-b --source recent-unwrapped --lines 150 2>&1 | tail -120', 'description': 'Read arm-b recent output'}] --- 328 assistant 2026-08-21T11:47:51.190Z --- [tool_use Bash {'command': 'herdr agent read arm-c --source recent-unwrapped --lines 150 2>&1 | tail -120', 'description': 'Read arm-c recent output'}] --- 329 user 2026-08-21T11:47:56.864Z --- [tool_result WHAT I NEED FROM YOU, and this is the only task: Write a short handover. Not a report — a handover. Priyanga is going to decide what happens next and needs to see the real state, not a summary of intentions. Cover exactly these four things: 1. DONE AND VERIFIED. What have you actually chang] --- 335 user 2026-08-21T11:48:04.107Z --- [tool_result ⏺ Calibration had already completed before the kill — 5/5, $0.1942 per question. Zero processes spending now. Checking working-tree state: Ran 1 shell command ⏺ Nothing of mine was committed — all my work is uncommitted. Note autoresearch/experiments/failure_dataset.yaml and autoresearch/doc] --- 341 user 2026-08-21T11:48:11.093Z --- [tool_result 3. OPEN QUESTIONS YOU CANNOT ANSWER ALONE. What decisions is your work blocked on that need a human? Phrase each as a question with the options you can see, not as a recommendation. Priyanga wants to decide, not to ratify. 4. WHAT WOULD BREAK if someone resumed you cold in a week. Stale assump] --- 348 assistant 2026-08-21T11:48:19.161Z --- All three arms have run, paused, and written handovers. Let me read the durable state. --- 349 assistant 2026-08-21T11:48:20.591Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ai-playground/autoresearch/experiments && for f in arm-a arm-b arm-c; do echo "=============== $f ==============="; wc -l $f/HANDOVER.md; done 2>&1', 'desc] --- 350 assistant 2026-08-21T11:48:21.635Z --- [tool_use Bash {'command': 'git log --oneline -8 2>&1; echo "--- STATUS ---"; git status --short 2>&1 | head -30', 'description': 'Check git state of main checkout'}] --- 351 user 2026-08-21T11:48:22.356Z --- [tool_result =============== arm-a =============== 150 arm-a/HANDOVER.md =============== arm-b =============== 105 arm-b/HANDOVER.md =============== arm-c =============== 111 arm-c/HANDOVER.md] --- 352 user 2026-08-21T11:48:22.468Z --- [tool_result e005816 Add. the case study source, which lived only in a temp scratchpad 52a33f3 Add. three arm handovers, written before compaction 57cd1c8 Add. the live experiment dashboard c7b6449 Add. arm A's findings, which were excluded from the tool's repo 5bd6ae0 Update. record why the run payloads stay on] --- 354 assistant 2026-08-21T11:48:29.492Z --- [tool_use Bash {'command': 'ls -la ~/.claude/skills/ 2>&1 | head; echo "--- DISABLED? ---"; ls -la ~/.claude/botmap-skill-DISABLED-BY-ARM-A 2>&1 | head -5', 'description': 'Check whether global botmap skill is still] --- 355 assistant 2026-08-21T11:48:30.929Z --- [tool_use Bash {'command': "cd /Users/priyangapkini/nilenso/ai-playground/autoresearch && sed -n '1,60p' experiments/arm-c/HANDOVER.md 2>&1", 'description': 'Read arm-c handover head'}] --- 356 user 2026-08-21T11:48:31.038Z --- [tool_result # Arm C — handover Branch `feat/agent-struggle-scorer`, worktree `/Users/priyangapkini/nilenso/ar-c-autoresearch`. 15 commits, **none merged into `feat/autoresearch`**. 145 tests pass. Tree clean — nothing stashed, no WIP commit. No quota spent at any point. Arm C owns: `taxonomy.py`, `score.py`, ] --- 357 user 2026-08-21T11:48:31.677Z --- [tool_result total 0 drwxr-xr-x@ 51 priyangapkini staff 1632 21 Aug 01:03 . drwxr-xr-x@ 35 priyangapkini staff 1120 21 Aug 17:17 .. lrwxr-xr-x@ 1 priyangapkini staff 29 12 Jul 21:17 ask-matt -> ../../.agents/skills/ask-matt lrwxr-xr-x@ 1 priyangapkini staff 31 22 Jul 11:50 ask-skills -> ../../.agen] --- 359 assistant 2026-08-21T11:48:59.754Z --- [tool_use Bash {'command': "cd /Users/priyangapkini/nilenso/ar-c-autoresearch && sed -n '1,45p' experiments/NOISE-FLOOR-FINDING.md 2>&1", 'description': 'Read the noise floor finding'}] --- 360 assistant 2026-08-21T11:49:00.868Z --- [tool_use Bash {'command': 'source .env 2>/dev/null; curl -s -m 20 https://openrouter.ai/api/v1/credits -H "Authorization: Bearer $OPENROUTER_API_KEY" 2>&1 | head -5', 'description': 'Check OpenRouter credit balance] --- 361 user 2026-08-21T11:49:02.321Z --- [tool_result Exit code 1 sed: experiments/NOISE-FLOOR-FINDING.md: No such file or directory] --- 367 user 2026-08-21T11:49:04.703Z --- [tool_result {"data":{"total_credits":1430,"total_usage":1347.871945012}}] --- 369 assistant 2026-08-21T11:49:09.131Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ar-c-autoresearch && find . -iname "*NOISE*" -not -path "./.git/*" 2>&1; echo "--- branch ---"; git branch --show-current; git log --oneline -3', 'descript] --- 370 user 2026-08-21T11:49:11.441Z --- [tool_result ./autoresearch/autoresearch/noise_floor.py ./autoresearch/experiments/NOISE-FLOOR-FINDING.md ./autoresearch/tests/test_noise_floor.py ./autoresearch/autoresearch/__pycache__/noise_floor.cpython-311.pyc ./autoresearch/tests/__pycache__/test_noise_floor.cpython-311.pyc ./autoresearch/tests/__pycache__] --- 371 assistant 2026-08-21T11:49:15.662Z --- [tool_use Bash {'command': "sed -n '1,50p' /Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/experiments/NOISE-FLOOR-FINDING.md 2>&1", 'description': 'Read noise floor finding'}] --- 372 user 2026-08-21T11:49:18.210Z --- [tool_result # The exam cannot detect the thing it was built to detect Measured 2026-08-21 from the shared baseline `3009509.json` (release 2026-08-19.0) and the 60 retained attempts of `baseline-noise-run1-3009509`. Pure analysis of an existing measurement: no quota spent, nothing re-run. ## The finding, in o] --- 374 assistant 2026-08-21T11:49:43.855Z --- [tool_use Bash {'command': 'cd /Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch && git show 7fc43f4 --stat 2>&1 | head -20; echo "=== DIFF ==="; git show 7fc43f4 2>&1 | grep -A6 -B6 "^[+-]" | head -60', '] --- 375 user 2026-08-21T11:49:46.731Z --- [tool_result commit 7fc43f48bb776b66ac9fa56a5f414d7c2673d886 Author: PriyangaPKini <[REDACTED]> Date: Fri Aug 21 00:50:21 2026 +0530 Fix. the score pointed at deleting the tool's own diagnostics Found by arm A. Its candidate C1 adds a near-match hint where the tool used to retu] --- 377 assistant 2026-08-21T11:50:24.388Z --- All three arms finished, paused, and wrote handovers (committed at `52a33f3`). Here's the real state — it's not what the plan expected. ## None of the three GEPA runs happened OpenRouter is at **$82.13**, down $0.83 from $82.96. That's the tell: no optimization run was ever funded. All three arms spent their entire budget on the *measuring instrument* and found it broken. About $145 of subscription tokens went into that. That sounds like failure. I don't think it is — they found two things that would have silently wasted every dollar of the runs. ## Finding 1: the scorer was rewarding the tool for hiding its own errors Arm A built a candidate (C1) that adds a "did you mean `bus_station`?" hint where botmap used to return an unexplained zero. Arm C measured what the scorer did with it — three versions of the same wrong-value command: | tool behaviour | score | |---|---| | silent, no stderr at all | **0.9000** | | names the bad field, no hint | 0.6538 | | names it *and* suggests the fix (C1) | 0.6538 | The silent failure — the exact thing the struggle term exists to punish — scored **highest**. `taxonomy.py` filed "exit 0 + `did you mean:`" as `bad_category_value`, so making the tool more helpful turned a clean call into a scored error. Point GEPA at that and it learns to delete diagnostics. That's an inverted gradient, and it's fixed only on Arm C's branch (`7fc43f4`) — the shared checkout still has it. ## Finding 2: the exam can't detect improvement even when it works Arm C ran the numbers on the retained baseline attempts: ``` within-run noise floor (lower bound) 0.117 total achievable headroom 0.039 → noise is 3× the prize correctness ceiling 0.0195 silent sub-term fired 0/58, headroom 0.0000 ``` 21 of 30 questions already score perfectly. A candidate that scored *flawlessly* would gain 0.039 on an objective that wobbles 0.117 between identical repeats. Arm B reached the same conclusion indepen --- 378 assistant 2026-08-21T11:50:36.595Z --- [tool_use AskUserQuestion {'questions': [{'question': 'Given noise is 3× the available prize, where should the next effort go?', 'header': 'Next step', 'multiSelect': False, 'options': [{'label': 'Fix the exam first (Recommend] --- 384 user 2026-08-21T11:50:56.873Z --- [tool_result The user doesn't want to proceed with this tool use. The tool use was rejected (eg. if it was a file edit, the new_string was NOT written to the file). STOP what you are doing and wait for the user to tell you how to proceed.] --- 385 user 2026-08-21T11:50:56.874Z --- [Request interrupted by user for tool use] --- 388 user 2026-08-21T11:51:13.930Z --- Here is the plan context-lens claude --resume c1b969b9-2854-4487-b27a-158d586ea4c4 --- 390 user 2026-08-21T11:51:35.963Z --- Here is the plan /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md --- 392 assistant 2026-08-21T11:51:39.150Z --- [tool_use Bash {'command': 'wc -l /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md; echo "==="; cat /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md', 'description': 'Read the] --- 393 user 2026-08-21T11:51:39.293Z --- [tool_result 690 /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md === # Plan — agent failure taxonomy and the new evaluator Status: **agreed, not yet built.** All three arms paused. This supersedes the fix plan I issued on 2026-08-21 morning. --- ## 0. The question > **What makes a C] --- 405 user 2026-08-21T11:54:56.753Z --- This session is being continued from a previous conversation that ran out of context. The summary below covers the earlier portion of the conversation. Summary: 1. **Primary Request and Intent:** The user is running a three-arm parallel experiment on the `autoresearch` project (`/Users/priyangapkini/nilenso/ai-playground/autoresearch`, branch `feat/autoresearch`) — a GEPA-based optimization harness that rewrites the `botmap` CLI to make it easier for AI agents to drive. **Carried forward from the pre-compaction portion** — the user specified three arms of their own design (explicitly rejecting my earlier suggestions with "None of your earlier suggested options is what I want to try"): - **Arm A** — a `skill.md` containing all instructions to run an autoresearch loop; the skill spins up an agent that runs the loop itself, achieving the goal "without me writing the code first" (no GEPA code). Uses the existing botmap evals and `questions.yaml`. - **Arm B** — take botmap's `skill.md` and optimize just that one file, and see how the tool improves. - **Arm C** — give GEPA more context on the repo (full repo context) instead of one file per run, and reframe the objective as *optimizing the agent interface / reducing agent struggle*: better error recovery, more context for the agent, fewer turns, fewer wasteful commands, optimized path to the correct command, transparent feedback loops preventing silent failures, better CLI/skill guidance. The user chose "Both, as you described" (context change AND objective change) and asked for all four struggle metrics to be scored: silent failures (heaviest), turns + command count, wasted commands before first success, error-recovery rate. Budget: 60 evaluations each. **In this session:** after `/compact`, the user asked **"Lets continue on the plan?"**. I investigated arm state and produced a status report, then attempted an `AskUserQuestion` with three decision forks. **The user rejected that tool call, interrup --- 417 assistant 2026-08-21T11:57:52.826Z --- API Error: Connection refused — a firewall or proxy may be blocking it (ConnectionRefused) --- 420 user 2026-08-21T12:17:47.401Z --- Here is the plan /Users/priyangapkini/nilenso/ai-playground/autoresearch/docs/plan.md --- 421 assistant 2026-08-21T12:20:45.420Z --- API Error: Connection refused — a firewall or proxy may be blocking it (ConnectionRefused) [Showing lines 152-982 of 982 (50.0KB limit). Full output: /var/folders/2g/85d5_sh17wdf0fm5yw5k3gs80000gn/T/pi-bash-a79a3b69db89fe0c.log]