Synthesized CLI agent-friendly principles
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Synthesized CLI agent-friendly principles
Agent
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GPT-5.5
Started
Aug 21, 12:32 PM
Messages314
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Reviewed prior experiment runs and documentation.
UnderstandSynthesized general principles from experiment data.
BuildDocumented top principles for CLI agent-friendly behavior.
EditYou are PI ARM C for the autoresearch experiment. You replace the old Claude Arm C because the Claude subscription ran out. Work as a child arm under an orchestrator; do not make project decisions on your own.
READ FIRST:
Old Arm C worktree:
Important current facts:
Your immediate task:
When done, say READY and provide the report in this session.
Preparing to read task files
Inspecting worktree status with git
>git -C /Users/priyangapkini/nilenso/ar-c-autoresearch status --short && git -C /Users/priyangapkini/nilenso/ar-c-autoresearch branch --show-currentfeat/agent-struggle-scorer>git -C /Users/priyangapkini/nilenso/ar-c-autoresearch log --oneline --decorate -2060d5de8 (HEAD -> feat/agent-struggle-scorer, origin/feat/agent-struggle-scorer) Add. the exam cannot detect what it was built to detect
0819eac Add. refuse to reconcile against a withdrawn or partial baseline
e039e09 Add. carry the lower-bound caveat in the report, not just the writeup
0df3068 Add. within-run repeat floor, because five questions is too thin
b4f6bc4 Add. reconcile a shared baseline against this branch's rules
7fc43f4 Fix. the score pointed at deleting the tool's own diagnostics
047a19c Add. warn that repo context inflates the blocked-file counts
aae2db6 Add. verdict on whether two conditions are interchangeable
da831d7 Fix. quota exhaustion scored as a candidate that broke the tool
5d8fa67 Add. detect which instruction file each attempt actually read
f6a7bd0 Add. noise floor, so a movement in the new terms can be believed
0118512 Fix. network timeouts scored as if the tool had crashed
c0a8bcf Fix. baseline stamped with a scorer its numbers did not come from
1ee5bd2 Add. read-only whole-repo context for the proposer
ab5e899 Add. agent-struggle terms to the score
f990ef7 (feat/autoresearch-from-proposals) Add. --proposer subscription, so a claude plan can do the proposing
e63be88 Add. openrouter balance check before a run starts
cf97c15 Add. gepa-driven autoresearch loop for the botmap cli
b1800ec (origin/feat/rl4repl-more-problems, main) docs(rl4repl): record Gemma 4 E2B baseline
4b8e04e feat(rl4repl): add more repair problems>find /Users/priyangapkini/nilenso/ar-c-autoresearch -maxdepth 3 -path '*/autoresearch/*' -type f | sort | sed 's#^#/##' | head -200sed: 1: "s#^#/##
": bad flag in substitute command: '#'Redoing file list generation
>find /Users/priyangapkini/nilenso/ar-c-autoresearch -maxdepth 4 -type f \( -path '*/autoresearch/*' -o -path '*/experiments/*' \) | sort | head -200/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.env
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.gitignore
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.pytest_cache/.gitignore
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.pytest_cache/CACHEDIR.TAG
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.pytest_cache/README.md
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/.gitignore
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/.lock
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate_this.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate.bat
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate.csh
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate.fish
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate.nu
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate.ps1
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/activate.xsh
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/deactivate.bat
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/distro
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/dotenv
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/hf
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/httpx
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/huggingface-cli
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/idna
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/jsonschema
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/lite
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/litellm
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/litellm-proxy
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/normalizer
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/py.test
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/pydoc.bat
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/pygmentize
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/pytest
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/tiny-agents
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/bin/tqdm
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/CACHEDIR.TAG
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/.venv/pyvenv.cfg
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__init__.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/__init__.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/__init__.cpython-314.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/baseline.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/blocked.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/config.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/config.cpython-314.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/credits.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/credits.cpython-314.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/evaluator.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/noise_floor.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/optimize.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/proposer.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/questions.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/reconcile.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/repo_context.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/repo_context.cpython-314.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/runner.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/score.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/smoke.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/taxonomy.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/trace.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/__pycache__/worktree.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/baseline.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/blocked.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/config.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/credits.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/evaluator.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/noise_floor.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/optimize.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/proposer.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/questions.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/reconcile.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/repo_context.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/runner.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/score.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/shim/botmap
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/smoke.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/taxonomy.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/trace.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/autoresearch/worktree.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/experiments/baselines/3009509.json
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/experiments/baselines/README.md
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/experiments/NOISE-FLOOR-FINDING.md
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/experiments/proposals.json
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/experiments/questions.yaml
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/pyproject.toml
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/README.md
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/tests/__pycache__/test_noise_floor.cpython-311-pytest-9.1.1.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/tests/__pycache__/test_noise_floor.cpython-311.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/tests/__pycache__/test_reconcile.cpython-311-pytest-9.1.1.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/tests/__pycache__/test_scoring.cpython-311-pytest-9.1.1.pyc
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/tests/test_noise_floor.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/tests/test_reconcile.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/tests/test_scoring.py
/Users/priyangapkini/nilenso/ar-c-autoresearch/autoresearch/uv.lockInspecting taxonomy score and evaluator tests
Identifying relevant config weights and quotas
>git -C /Users/priyangapkini/nilenso/ar-c-autoresearch show --stat --oneline --no-renames ab5e899 0118512 da831d7 7fc43f4ab5e899 Add. agent-struggle terms to the score
autoresearch/autoresearch/config.py | 47 +++++++++--
autoresearch/autoresearch/evaluator.py | 14 +++-
autoresearch/autoresearch/score.py | 122 +++++++++++++++++++++++++++-
autoresearch/tests/test_scoring.py | 140 ++++++++++++++++++++++++++++++++-
4 files changed, 310 insertions(+), 13 deletions(-)
0118512 Fix. network timeouts scored as if the tool had crashed
autoresearch/autoresearch/evaluator.py | 14 +++++--
autoresearch/autoresearch/score.py | 51 +++++++++++++++++++++---
autoresearch/autoresearch/taxonomy.py | 24 ++++++++++++
autoresearch/tests/test_scoring.py | 72 ++++++++++++++++++++++++++++++++++
4 files changed, 152 insertions(+), 9 deletions(-)
da831d7 Fix. quota exhaustion scored as a candidate that broke the tool
autoresearch/autoresearch/evaluator.py | 24 +++++++++
autoresearch/autoresearch/optimize.py | 29 ++++++++++-
autoresearch/autoresearch/score.py | 17 +++++++
autoresearch/autoresearch/trace.py | 19 +++++++
autoresearch/tests/test_scoring.py | 92 ++++++++++++++++++++++++++++++++++
5 files changed, 180 insertions(+), 1 deletion(-)
7fc43f4 Fix. the score pointed at deleting the tool's own diagnostics
autoresearch/autoresearch/score.py | 30 ++++++++++-
autoresearch/autoresearch/taxonomy.py | 21 +++++---
autoresearch/tests/test_scoring.py | 94 ++++++++++++++++++++++++++++++++---
3 files changed, 130 insertions(+), 15 deletions(-)Inspecting current repo status
>pwd; git status --short; find autoresearch -maxdepth 3 -type f | sort | sed -n '1,120p'; git log --oneline --decorate -5/Users/priyangapkini/nilenso/ai-playground/autoresearch
D ../editing-in-progress/.gitignore
D ../editing-in-progress/README.md
D ../editing-in-progress/config.example.toml
D ../editing-in-progress/deno.json
D ../editing-in-progress/deno.lock
D ../editing-in-progress/native/LICENSE.webui
D ../editing-in-progress/native/README.md
D ../editing-in-progress/native/aarch64-apple-darwin/libwebui-2.dylib
D ../editing-in-progress/native/aarch64-unknown-linux-gnu/libwebui-2.so
D ../editing-in-progress/native/x86_64-apple-darwin/libwebui-2.dylib
D ../editing-in-progress/native/x86_64-unknown-linux-gnu/libwebui-2.so
D ../editing-in-progress/scripts/build_app.ts
D ../editing-in-progress/scripts/build_ui.ts
D ../editing-in-progress/scripts/check_webui.ts
D ../editing-in-progress/server/app/api.ts
D ../editing-in-progress/server/app/api_test.ts
D ../editing-in-progress/server/app/local_app.ts
D ../editing-in-progress/server/app/local_app_test.ts
D ../editing-in-progress/server/app/local_document.ts
D ../editing-in-progress/server/app/local_document_test.ts
D ../editing-in-progress/server/app/persistence.ts
D ../editing-in-progress/server/app/persistence_test.ts
D ../editing-in-progress/server/cli.ts
D ../editing-in-progress/server/cli_test.ts
D ../editing-in-progress/server/config_file.ts
D ../editing-in-progress/server/config_file_test.ts
D ../editing-in-progress/server/core/config.ts
D ../editing-in-progress/server/core/config_test.ts
D ../editing-in-progress/server/core/protocol.ts
D ../editing-in-progress/server/core/protocol_test.ts
D ../editing-in-progress/server/core/scram.ts
D ../editing-in-progress/server/core/scram_test.ts
D ../editing-in-progress/server/core/uuid.ts
D ../editing-in-progress/server/core/uuid_test.ts
D ../editing-in-progress/server/http/mod.ts
D ../editing-in-progress/server/http/mod_test.ts
D ../editing-in-progress/server/log.ts
D ../editing-in-progress/server/main.ts
D ../editing-in-progress/server/main_test.ts
D ../editing-in-progress/server/network/client.ts
D ../editing-in-progress/server/network/client_test.ts
D ../editing-in-progress/server/network/coordinator.ts
D ../editing-in-progress/server/network/network_e2e_test.ts
D ../editing-in-progress/server/state/room.ts
D ../editing-in-progress/server/state/room_test.ts
D ../editing-in-progress/server/state/storage.ts
D ../editing-in-progress/server/state/storage_test.ts
D ../editing-in-progress/server/window.ts
D ../editing-in-progress/server/window_test.ts
D ../editing-in-progress/ui/index.html
D ../editing-in-progress/ui/src/automerge_doc.ts
D ../editing-in-progress/ui/src/automerge_doc_test.ts
D ../editing-in-progress/ui/src/bridge.ts
D ../editing-in-progress/ui/src/bridge_test.ts
D ../editing-in-progress/ui/src/index.tsx
D ../editing-in-progress/ui/src/state.ts
D ../editing-in-progress/ui/src/state_test.ts
D ../editing-in-progress/ui/src/style.css
D ../editing-in-progress/ui/src/test_support.ts
D ../editing-in-progress/vendor/deno-webui/LICENSE
D ../editing-in-progress/vendor/deno-webui/deno.json
D ../editing-in-progress/vendor/deno-webui/deps.ts
D ../editing-in-progress/vendor/deno-webui/mod.ts
D ../editing-in-progress/vendor/deno-webui/src/lib.ts
D ../editing-in-progress/vendor/deno-webui/src/types.ts
D ../editing-in-progress/vendor/deno-webui/src/utils.ts
D ../editing-in-progress/vendor/deno-webui/src/webui.ts
?? ../.DS_Store
?? ../.claude/worktrees/
?? ../.idea/
?? ../.vscode/
?? tools/dashboard/lever-history
autoresearch/__init__.py
autoresearch/__pycache__/__init__.cpython-311.pyc
autoresearch/__pycache__/__init__.cpython-314.pyc
autoresearch/__pycache__/baseline.cpython-311.pyc
autoresearch/__pycache__/baseline.cpython-314.pyc
autoresearch/__pycache__/blocked.cpython-311.pyc
autoresearch/__pycache__/config.cpython-311.pyc
autoresearch/__pycache__/config.cpython-314.pyc
autoresearch/__pycache__/credits.cpython-311.pyc
autoresearch/__pycache__/credits.cpython-314.pyc
autoresearch/__pycache__/evaluator.cpython-311.pyc
autoresearch/__pycache__/optimize.cpython-311.pyc
autoresearch/__pycache__/orproxy.cpython-311.pyc
autoresearch/__pycache__/proposer.cpython-311.pyc
autoresearch/__pycache__/questions.cpython-311.pyc
autoresearch/__pycache__/questions.cpython-314.pyc
autoresearch/__pycache__/runner.cpython-311.pyc
autoresearch/__pycache__/runner.cpython-314.pyc
autoresearch/__pycache__/score.cpython-311.pyc
autoresearch/__pycache__/smoke.cpython-311.pyc
autoresearch/__pycache__/taxonomy.cpython-311.pyc
autoresearch/__pycache__/trace.cpython-311.pyc
autoresearch/__pycache__/worktree.cpython-311.pyc
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_input.md
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_meta.json
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_output.md
autoresearch/.pi-subagents/artifacts/5397a165_researcher_0_transcript.jsonl
autoresearch/baseline.py
autoresearch/blocked.py
autoresearch/config.py
autoresearch/credits.py
autoresearch/evaluator.py
autoresearch/optimize.py
autoresearch/orproxy.py
autoresearch/proposer.py
autoresearch/questions.py
autoresearch/runner.py
autoresearch/score.py
autoresearch/shim/botmap
autoresearch/smoke.py
autoresearch/taxonomy.py
autoresearch/trace.py
autoresearch/worktree.py
e005816 (HEAD -> feat/autoresearch, origin/feat/autoresearch) 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 one machineReviewing current taxonomy relevance
>test -e /Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch/agenteval/contract.py; echo contract_exists=$?; find /Users/priyangapkini/nilenso/ai-playground/autoresearch/autoresearch -maxdepth 2 -path '*/agenteval/*' -type f -printcontract_exists=1Summarizing final report content
READY
docs/plan.md, Arm C handover, and both memory notes./Users/priyangapkini/nilenso/ar-c-autoresearchfeat/agent-struggle-scorer60d5de8 Add. the exam cannot detect what it was built to detectautoresearch/agenteval/contract.py yet, so Arm C remains blocked per plan.Class B / hint-not-punished fix
7fc43f4 Fix. the score pointed at deleting the tool's own diagnosticserror + guided → class Bcount-zero-hint must score better than baseline.Class E network handling
0118512 Fix. network timeouts scored as if the tool had crashedblame=environment → class Enetwork_failure into axis verdict.Quota exhaustion handling
da831d7 Fix. quota exhaustion scored as a candidate that broke the toolCall, because quota may produce no botmap call."session limit"; "usage limit" / "rate limit" are unconfirmed guesses.Silent-failure weighting concept
ab5e899 Add. agent-struggle terms to the scoresilent term becomes class-C penalty logic, now driven by probes/subtypes rather than brittle stderr matching.Completion gate / effort terms
score.py: effort must not reward no-answer attempts.f6a7bd0, 0df3068, e039e09, 60d5de8) is evidence for why the old scorer/question bank saturated. New plan explicitly expects class C detection may restore headroom, so this becomes background context, not implementation direction.1ee5bd2) is superseded by the evaluator-first plan; do not merge into new work unless orchestrator decides.contract.py landsautoresearch/agenteval/taxonomy.py
classify(call, probes) -> CallVerdictcontract.derive_class(...); do not compute/store class independently.ok | empty | error | degeneratetool | agent | environmentguided | unguided | n/ac-vocabularyc-wrong-columnc-wrong-typec-dropped-inputc-truncatedc-wrong-entityc-unknownautoresearch/agenteval/score.py
Prove class-B fix using Arm A’s count-zero-hint
No model/API quota; all local/unit/recorded-data only until orchestrator authorizes otherwise.
Tests to build/adapt:
CallVerdictcontract.derive_classerror + unguidederror + guidedempty + unguideddegenerateblame=environmentblame=agentprobe.py exists.c-unknown, never clean.score.py; new plan requires agenteval/ contract and axes.0 rows + categories.primary heuristic is too narrow and risks recreating invisible failures.contract.py. Current checkout confirms contract is not present yet.CallVerdict, or should contract.py expose an attempt verdict as well?taxonomy.py also expose helpers for F once Arm A detects ignored hints?outcome remain error even when old botmap exits 0 but emits “Did you mean” on stderr, or should taxonomy.py normalize that as an effective refused/guided outcome?network_failure markers be accepted as-is initially, or should Priyanga review the marker list before they enter the shared evaluator?Decisions from Priyanga/orchestrator:\n\n1. Phase 0a validation: approved to spend the two cheap Claude probe calls after the code change.\n2. record-v2 clean calls: use JSON class: null.\n3. Fixture sources: first copy/preserve old untracked Arm A notes into autoresearch, then old notes may be used as supporting fixture evidence.\n4. C1 candidate identity is NOT decided; Priyanga does not understand the question yet. Do not act on C1 identity until discussed further.\n5. Ignored-hint detection: use option C — strict boolean plus richer details/window.\n6. Quota failures: extend contract with attempt verdict; quota can be attempt-level class E outside per-call CallVerdict.\n7. Exit-0 did-you-mean/recovery hints: keep the recovery path. Treat guidance as something the agent should be able to use in the next iteration; if the agent does not recover, record that failure path (guided signal + agent-side failure detail), do not flatten it away.\n\nContinue to wait for contract.py before component edits. You may refine your readiness notes if this changes them; do not edit source files yet.
READY
Updated readiness notes from Priyanga/orchestrator decisions:
contract.py; no source edits until it lands.record-v2 calls should serialize with JSON "class": null, not "clean" / "A-F".contract.py should include an attempt-level verdict.CallVerdict.did you mean / recovery hints:
autoresearch.No edits made; awaiting contract.py.
Contract is now landed in the shared checkout (not committed yet):
You are unblocked for Arm C Phase 2 work. You may edit ONLY these files unless you ask first:
Do not modify old autoresearch/taxonomy.py or autoresearch/score.py in this pass unless you ask first; the new evaluator lives under autoresearch/agenteval/. Do not launch evals or spend model/API quota. Mine old Arm C branch for ideas but do not merge blindly. Follow docs/plan.md exactly: axes, class via contract.derive_class only, E dropped, F recorded-not-charged, B near-free and satisfies recovery, C dominates, weights named constants with TODO and no tuning.
Important decisions: clean class null; quota is attempt-level verdict; exit-0 did-you-mean preserves guided recovery path and agent-side non-use detail; C1 candidate identity is unresolved, so use generic fixtures rather than assuming a commit.
Goal for this pass: implement taxonomy.py and score.py minimal real versions with tests, including B inversion, E network/quota handling shape, C unknown fallback, and scoring ordering. Report READY or BLOCKED with tests run and decisions needed.
Inspecting contract details
>ls -l autoresearch/agenteval tests/test_agenteval_* 2>/dev/null || trueautoresearch/agenteval:
total 32
-rw-r--r--@ 1 priyangapkini staff 71 21 Aug 21:19 __init__.py
drwxr-xr-x@ 4 priyangapkini staff 128 21 Aug 21:20 __pycache__
-rw-r--r--@ 1 priyangapkini staff 8534 21 Aug 21:20 contract.pyDesigning allowed files taxonomy tests
Designing call outcome classification logic
Defining scoring penalties and classification weights
Planning recovery function tests
Running test suite
>uv run pytest tests/test_agenteval_taxonomy.py tests/test_agenteval_score.py tests/test_contract.py................... [100%]
19 passed in 0.06sPlanning full test run
>uv run pytest........................................................................ [ 69%]
............................... [100%]
103 passed in 0.16sEvaluating git diff access
>git diff -- autoresearch/agenteval/taxonomy.py autoresearch/agenteval/score.py tests/test_agenteval_taxonomy.py tests/test_agenteval_score.py --stat && git status --short autoresearch/agenteval/taxonomy.py autoresearch/agenteval/score.py tests/test_agenteval_taxonomy.py tests/test_agenteval_score.py?? autoresearch/agenteval/score.py
?? autoresearch/agenteval/taxonomy.py
?? tests/test_agenteval_score.py
?? tests/test_agenteval_taxonomy.pySummarizing final decisions and concerns
READY
Implemented minimal Arm C Phase 2 files only:
autoresearch/agenteval/taxonomy.pyautoresearch/agenteval/score.pytests/test_agenteval_taxonomy.pytests/test_agenteval_score.pyWhat landed:
contract.derive_class only.cls=None.did you mean becomes guided class B recovery signal.classify_attempt.c-unknown.Validation:
uv run pytest tests/test_agenteval_taxonomy.py tests/test_agenteval_score.py tests/test_contract.py
19 passeduv run pytest
103 passedNo evals launched. No model/API quota spent.
Decision still needed later:
agenteval.score.score_attempt is wired into record-v2 writing/evaluator flow.You are PI ARM C. The evaluator-first work is now in the shared autoresearch checkout. Your role now: wire the NEW evaluator into the optimizer/evaluator flow so all future arms actually use it.
Context to read:
Your clean botmap repo for future tool/repo-context runs:
Constraints:
Task:
Planning file reading strategy
>find autoresearch/agenteval -type f -maxdepth 1 -print -exec wc -l {} \;autoresearch/agenteval/repair.py
105 autoresearch/agenteval/repair.py
autoresearch/agenteval/sabotage.py
295 autoresearch/agenteval/sabotage.py
autoresearch/agenteval/enrich.py
107 autoresearch/agenteval/enrich.py
autoresearch/agenteval/agent_side.py
124 autoresearch/agenteval/agent_side.py
autoresearch/agenteval/__init__.py
1 autoresearch/agenteval/__init__.py
autoresearch/agenteval/taxonomy.py
250 autoresearch/agenteval/taxonomy.py
autoresearch/agenteval/probe.py
643 autoresearch/agenteval/probe.py
autoresearch/agenteval/record.py
84 autoresearch/agenteval/record.py
autoresearch/agenteval/contract.py
256 autoresearch/agenteval/contract.py
autoresearch/agenteval/explain.py
135 autoresearch/agenteval/explain.py
autoresearch/agenteval/score.py
243 autoresearch/agenteval/score.py
autoresearch/agenteval/analyze.py
128 autoresearch/agenteval/analyze.pyPlanning to read agenteval repository
Identifying required components
Requesting current test suite
>ls tests | sort && grep -R "Evaluator\|sabotage\|agenteval" -n tests autoresearch | head -200__pycache__
test_agent_side.py
test_agenteval_score.py
test_agenteval_taxonomy.py
test_analyze_records.py
test_contract.py
test_explain.py
test_probe.py
test_record_v2.py
test_repair_records.py
test_sabotage_integration.py
test_sabotage.py
test_scoring.py
tests/test_probe.py:5:from autoresearch.agenteval.probe import (
tests/test_sabotage.py:1:from autoresearch.agenteval.contract import C_SUBTYPES, validate
tests/test_sabotage.py:2:from autoresearch.agenteval.sabotage import FIXTURES, assert_sabotage_passes, expected_verdict, run_sabotage
tests/test_sabotage.py:5:def test_sabotage_has_every_class_and_class_c_subtype():
tests/test_sabotage.py:16: "schema": "agenteval/2",
tests/test_sabotage.py:28:def test_sabotage_passes_with_reference_classifier():
tests/test_sabotage.py:29: assert_sabotage_passes(expected_verdict)
tests/test_sabotage.py:30: assert all(result.passed for result in run_sabotage(expected_verdict))
tests/test_sabotage.py:33:def test_sabotage_fails_if_silent_wrong_classifies_clean():
tests/test_sabotage.py:40: results = run_sabotage(broken_classifier)
tests/test_sabotage_integration.py:1:from autoresearch.agenteval.sabotage import FIXTURES, run_sabotage
tests/test_sabotage_integration.py:2:from autoresearch.agenteval.taxonomy import classify, classify_attempt, TranscriptLike
tests/test_sabotage_integration.py:5:def test_call_level_sabotage_fixtures_fire_with_taxonomy_classifier():
tests/test_sabotage_integration.py:8: results = run_sabotage(lambda call: classify(call, call.get("probes", [])), call_level)
tests/test_agenteval_taxonomy.py:3:from autoresearch.agenteval.contract import Probe, derive_class
tests/test_agenteval_taxonomy.py:4:from autoresearch.agenteval.taxonomy import classify, classify_attempt
Binary file tests/__pycache__/test_explain.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_contract.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_analyze_records.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_agent_side.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_sabotage_integration.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_agenteval_taxonomy.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_record_v2.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_sabotage.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_agenteval_score.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_repair_records.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_scoring.cpython-311-pytest-9.1.1.pyc matches
Binary file tests/__pycache__/test_probe.cpython-311-pytest-9.1.1.pyc matches
tests/test_scoring.py:326: from autoresearch.evaluator import Evaluator
tests/test_scoring.py:328: ev = Evaluator("tool", pool, reference={})
tests/test_scoring.py:331: monkeypatch.setattr(Evaluator, "_broken", lambda self, tree: "stub")
tests/test_scoring.py:688: # default to the Evaluator: that would retain hundreds of attempt
tests/test_scoring.py:696: assert "Evaluator(lever, pool, reference, keep_dir=candidate_attempts)" in src
tests/test_agent_side.py:1:from autoresearch.agenteval.agent_side import detect_ignored_hints
tests/test_contract.py:1:from autoresearch.agenteval.contract import (
tests/test_record_v2.py:3:from autoresearch.agenteval.contract import validate
tests/test_record_v2.py:4:from autoresearch.agenteval.record import build_record, parse_tools_used
tests/test_agenteval_score.py:1:from autoresearch.agenteval.contract import AttemptVerdict, CallVerdict, derive_class
tests/test_agenteval_score.py:2:from autoresearch.agenteval.score import score_attempt
tests/test_explain.py:1:from autoresearch.agenteval.contract import Probe, Record2, SCHEMA
tests/test_explain.py:2:from autoresearch.agenteval.explain import explain
tests/test_analyze_records.py:3:from autoresearch.agenteval.analyze import summarize_run, summarize_with_completed_retries, write_combined_summary, write_summary
tests/test_analyze_records.py:12: "schema": "agenteval/2",
tests/test_analyze_records.py:40: assert out == tmp_path / "agenteval-summary.json"
tests/test_analyze_records.py:64: assert out == base / "agenteval-summary-with-retries.json"
tests/test_analyze_records.py:73: "schema": "agenteval/2",
tests/test_repair_records.py:3:from autoresearch.agenteval.repair import repair_us_state_entity_false_positives
tests/test_repair_records.py:10: "schema": "agenteval/2",
autoresearch/optimize.py:33:from .evaluator import Evaluator
autoresearch/optimize.py:162: evaluate = Evaluator(lever, pool, reference, keep_dir=candidate_attempts)
autoresearch/runner.py:108: from .agenteval.contract import write as write_record2
autoresearch/runner.py:109: from .agenteval.record import build_record
Binary file autoresearch/__pycache__/evaluator.cpython-311.pyc matches
Binary file autoresearch/__pycache__/optimize.cpython-311.pyc matches
Binary file autoresearch/__pycache__/runner.cpython-311.pyc matches
autoresearch/agenteval/sabotage.py:13:from autoresearch.agenteval.contract import CallVerdict, Probe, derive_class
autoresearch/agenteval/sabotage.py:52:def run_sabotage(classifier: Classifier, fixtures: Iterable[SabotageFixture] | None = None) -> list[SabotageResult]:
autoresearch/agenteval/sabotage.py:75:def assert_sabotage_passes(classifier: Classifier, fixtures: Iterable[SabotageFixture] | None = None) -> None:
autoresearch/agenteval/sabotage.py:76: failures = [result for result in run_sabotage(classifier, fixtures) if not result.passed]
autoresearch/agenteval/sabotage.py:79: raise AssertionError(f"sabotage fixtures failed: {details}")
Binary file autoresearch/agenteval/__pycache__/record.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/explain.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/sabotage.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/enrich.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/probe.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/repair.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/taxonomy.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/score.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/agent_side.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/contract.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/__init__.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/analyze.cpython-311.pyc matches
autoresearch/agenteval/record.py:23: schema="agenteval/2",
autoresearch/agenteval/contract.py:15:SCHEMA = "agenteval/2"
autoresearch/agenteval/explain.py:8:from autoresearch.agenteval.contract import Record2
autoresearch/agenteval/analyze.py:40: target = Path(out) if out is not None else root / "agenteval-summary.json"
autoresearch/agenteval/analyze.py:48: target = Path(out) if out is not None else root / "agenteval-summary-with-retries.json"
autoresearch/evaluator.py:28:class Evaluator:Considering configuration requirements
Planning evaluator updates and sabotage checks
Designing new evaluator scoring functions
Planning baseline summary with new score
Reviewing baseline checks in config tests
>grep -R "CORRECTNESS_IMPL\|correctness_impl\|score.objective\|score.correctness\|evaluator" -n tests autoresearch | head -200Binary file tests/__pycache__/test_scoring.cpython-311-pytest-9.1.1.pyc matches
tests/test_scoring.py:57: assert score.correctness([a]) == 1.0
tests/test_scoring.py:61: assert score.correctness([a]) == 0.0
tests/test_scoring.py:68: assert score.correctness([dumped]) < score.correctness([errored])
tests/test_scoring.py:74: assert score.correctness([stuck]) < score.correctness([recovered])
tests/test_scoring.py:80: assert score.correctness([a]) == 1.0
tests/test_scoring.py:98: assert score.objective(1.0, 0.5, 0.5) == pytest.approx(0.6 + 0.1 + 0.1)
tests/test_scoring.py:326: from autoresearch.evaluator import Evaluator
autoresearch/optimize.py:33:from .evaluator import Evaluator
autoresearch/optimize.py:170: evaluator=evaluate,
autoresearch/optimize.py:243: "correctness_impl": config.CORRECTNESS_IMPL,
autoresearch/config.py:100:CORRECTNESS_IMPL = "proxy-v1"
autoresearch/baseline.py:125: "correctness_impl": config.CORRECTNESS_IMPL,
Binary file autoresearch/__pycache__/config.cpython-314.pyc matches
Binary file autoresearch/__pycache__/evaluator.cpython-311.pyc matches
Binary file autoresearch/__pycache__/config.cpython-311.pyc matches
Binary file autoresearch/__pycache__/optimize.cpython-311.pyc matches
Binary file autoresearch/__pycache__/baseline.cpython-314.pyc matches
Binary file autoresearch/__pycache__/baseline.cpython-311.pyc matches
Binary file autoresearch/__pycache__/score.cpython-311.pyc matches
autoresearch/agenteval/repair.py:4:original attempts and only recompute fields derived from evaluator logic.
Binary file autoresearch/agenteval/__pycache__/repair.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/score.cpython-311.pyc matches
Binary file autoresearch/agenteval/__pycache__/contract.cpython-311.pyc matches
autoresearch/agenteval/contract.py:1:"""Record-v2 contract for the shared agent evaluator.
autoresearch/agenteval/contract.py:3:This module owns the stable JSON shape used by all evaluator components. The
autoresearch/agenteval/score.py:1:"""Class-weighted scoring for the shared agent evaluator.
autoresearch/agenteval/score.py:101: the outer evaluator when a reference baseline exists. This module owns the
autoresearch/evaluator.py:70: # -- the evaluator GEPA calls ----------------------------------------
autoresearch/evaluator.py:102: correct = score.correctness(usable)
autoresearch/evaluator.py:109: total = score.objective(correct, token_eff, wall_eff)
autoresearch/score.py:74: Named in config as CORRECTNESS_IMPL so two runs scored by different rulesPlanning sabotage gate integration before optimization
Designing evaluator gate validation function
Planning sabotage gate implementation
Designing sabotage gate before optimizer
Planning evaluator improvements and logging explanations
Refining evaluator scoring for incomplete attempts
Implementing zero score for no-answer attempts
Adding helper functions
Planning to add _measure_attempt method
Confirming asdict import and baseline score use
Verifying configuration correctness
Confirming test availability
>grep -R "proxy-v1\|agenteval-v2" -n tests autoresearch | head -50autoresearch/config.py:100:CORRECTNESS_IMPL = "agenteval-v2"
Binary file autoresearch/__pycache__/config.cpython-314.pyc matches
Binary file autoresearch/__pycache__/config.cpython-311.pyc matchesOptimizing sabotage gate
Planning tests for evaluator sabotage and isolation
Testing evaluator scoring and quota handling
Adding quota check to config preflight
Adding tests for score_record sabotage
Planning optimization test separation
Fixing token baseline usage and running tests
>uv run pytest tests/test_agenteval_score.py tests/test_evaluator_agenteval.py tests/test_optimizer_gate.py tests/test_sabotage_integration.py............... [100%]
15 passed in 0.10s>uv run pytest........................................................................ [ 52%]
................................................................. [100%]
137 passed in 0.20s>git status --short && git diff --statM autoresearch/agenteval/score.py
M autoresearch/baseline.py
M autoresearch/config.py
M autoresearch/evaluator.py
M autoresearch/optimize.py
M tests/test_agenteval_score.py
?? ../.DS_Store
?? ../.claude/worktrees/
?? ../.idea/
?? ../.vscode/
?? tests/test_evaluator_agenteval.py
?? tests/test_optimizer_gate.py
?? tools/dashboard/lever-history
autoresearch/autoresearch/agenteval/score.py | 103 ++++++++++++++++++++++++++-
autoresearch/autoresearch/baseline.py | 17 +++--
autoresearch/autoresearch/config.py | 2 +-
autoresearch/autoresearch/evaluator.py | 81 ++++++++++++++-------
autoresearch/autoresearch/optimize.py | 18 +++++
autoresearch/tests/test_agenteval_score.py | 29 +++++++-
6 files changed, 215 insertions(+), 35 deletions(-)Reviewing untracked files in diff
>git diff -- autoresearch/agenteval/score.py autoresearch/evaluator.py autoresearch/baseline.py autoresearch/optimize.py autoresearch/config.py tests/test_agenteval_score.py tests/test_evaluator_agenteval.py tests/test_optimizer_gate.pydiff --git a/autoresearch/autoresearch/agenteval/score.py b/autoresearch/autoresearch/agenteval/score.py
index a4d6a6f..3aabeca 100644
--- a/autoresearch/autoresearch/agenteval/score.py
+++ b/autoresearch/autoresearch/agenteval/score.py
@@ -20,9 +20,9 @@ Class E is excluded. Class F is recorded but not charged to the CLI.
from __future__ import annotations
from dataclasses import dataclass
-from typing import Iterable
+from typing import Any, Iterable
-from .contract import AttemptVerdict, CallVerdict
+from .contract import AttemptVerdict, CallVerdict, Probe
CORRECTNESS_RECOVERABILITY_WEIGHT = 0.60
TOKEN_EFFICIENCY_WEIGHT = 0.20
@@ -121,6 +121,18 @@ def score_attempt(
attempt_environment=attempt,
)
+ if not completed:
+ return Score(
+ value=0.0,
+ excluded=False,
+ charged=charged,
+ recorded_not_charged=recorded_not_charged,
+ environment=environment,
+ breakdown=empty_breakdown,
+ recovery=recovery,
+ attempt_environment=attempt if attempt and attempt.cls == "E" else None,
+ )
+
breakdown = _breakdown(
charged,
completed=completed,
@@ -145,6 +157,45 @@ def score_attempt(
)
+def score_record(
+ record: object,
+ *,
+ completed: bool = True,
+ token_efficiency: float = 1.0,
+ wallclock: float = 1.0,
+ extra_tokens: int = 0,
+ extra_wallclock_ms: int = 0,
+) -> Score:
+ """Score a record-v2 object or raw dictionary.
+
+ This is the integration point for the runner/evaluator: record-v2 remains
+ the auditable source, and scoring reads the same verdict fields that are
+ written to disk.
+ """
+ raw = _raw_record(record)
+ return score_attempt(
+ [_call_verdict(call) for call in raw.get("calls", ())],
+ attempt=_attempt_verdict(raw.get("attempt")),
+ agent_side=raw.get("agent_side", ()),
+ completed=completed,
+ token_efficiency=[REDACTED]
+ wallclock=wallclock,
+ extra_tokens=[REDACTED]
+ extra_wallclock_ms=extra_wallclock_ms,
+ )
+
+
+def efficiency(reference: float | None, actual: float) -> float:
+ """Normalize cost/time against the unchanged tool.
+
+ 0.5 means parity, below is worse, above is better. No reference is neutral
+ rather than free full credit.
+ """
+ if not reference or actual <= 0:
+ return 0.5
+ return min(2.0, reference / actual) / 2.0
+
+
def _breakdown(
charged: tuple[CallVerdict, ...],
*,
@@ -241,3 +292,51 @@ def _attribution_quality(calls: tuple[CallVerdict, ...]) -> float:
return 1.0
penalty = sum(CLASS_SEVERITY_PENALTIES.get(call.cls or "", 0.0) for call in charged_failures)
return max(0.0, 1.0 - (penalty / len(charged_failures)))
+
+
+def _raw_record(record: object) -> dict[str, Any]:
+ if isinstance(record, dict):
+ return record
+ return {
+ "calls": getattr(record, "calls", ()),
+ "agent_side": getattr(record, "agent_side", ()),
+ "attempt": getattr(record, "attempt", None),
+ }
+
+
+def _call_verdict(raw: CallVerdict | dict[str, Any]) -> CallVerdict:
+ if isinstance(raw, CallVerdict):
+ return raw
+ return CallVerdict(
+ outcome=raw.get("outcome", ""),
+ blame=raw.get("blame", ""),
+ recovery=raw.get("recovery", ""),
+ cls=raw.get("class", raw.get("cls")),
+ subtype=raw.get("subtype"),
+ evidence=raw.get("evidence", ""),
+ probes=tuple(_probe(probe) for probe in raw.get("probes", ())),
+ )
+
+
+def _attempt_verdict(raw: AttemptVerdict | dict[str, Any] | None) -> AttemptVerdict | None:
+ if raw is None or isinstance(raw, AttemptVerdict):
+ return raw
+ return AttemptVerdict(
+ outcome=raw.get("outcome", ""),
+ blame=raw.get("blame", ""),
+ recovery=raw.get("recovery", ""),
+ cls=raw.get("class", raw.get("cls")),
+ subtype=raw.get("subtype"),
+ evidence=raw.get("evidence", ""),
+ )
+
+
+def _probe(raw: Probe | dict[str, Any]) -> Probe:
+ if isinstance(raw, Probe):
+ return raw
+ return Probe(
+ kind=raw.get("kind", ""),
+ ran=raw.get("ran", ""),
+ result=raw.get("result", ""),
+ conclusive=bool(raw.get("conclusive", False)),
+ )
diff --git a/autoresearch/autoresearch/baseline.py b/autoresearch/autoresearch/baseline.py
index 501b64b..84b5f6d 100644
--- a/autoresearch/autoresearch/baseline.py
+++ b/autoresearch/autoresearch/baseline.py
@@ -15,6 +15,8 @@ from dataclasses import asdict, dataclass
from pathlib import Path
from . import config, runner
+from .agenteval.record import build_record
+from .agenteval.score import score_record
from .questions import Question
from .score import Attempt
@@ -29,15 +31,18 @@ class Reading:
def _summarise(attempts: list[Attempt]) -> Reading | None:
- usable = [a for a in attempts if a.ok]
+ scored = [
+ score_record(build_record(a), completed=a.completed)
+ for a in attempts
+ ]
+ usable = [score for score in scored if not score.excluded]
if not usable:
- return None # every try failed; this question tells us nothing
- from .score import correctness
+ return None # every try failed outside the tool; this question tells us nothing
return Reading(
- tokens=[REDACTED] for a in usable),
- duration_ms=statistics.mean(a.transcript.usage.duration_ms for a in usable),
- correctness=correctness(usable),
+ tokens=[REDACTED] for a in attempts),
+ duration_ms=statistics.mean(a.transcript.usage.duration_ms for a in attempts),
+ correctness=statistics.mean(score.breakdown.correctness_recoverability for score in usable),
)
diff --git a/autoresearch/autoresearch/config.py b/autoresearch/autoresearch/config.py
index 8f512a9..e7eb12b 100644
--- a/autoresearch/autoresearch/config.py
+++ b/autoresearch/autoresearch/config.py
@@ -97,7 +97,7 @@ WEIGHTS = {"correctness": 0.60, "token_efficiency": 0.20, "wallclock": 0.20}
# Names the way correctness is currently measured. Recorded on every result so
# two runs scored by different rules are never compared as if they matched.
-CORRECTNESS_IMPL = "proxy-v1"
+CORRECTNESS_IMPL = "agenteval-v2"
# The tool we're changing. `~/workspace/botmap` unless you say otherwise.
DEFAULT_REPO = Path.home() / "workspace" / "botmap"
diff --git a/autoresearch/autoresearch/evaluator.py b/autoresearch/autoresearch/evaluator.py
index 0eb3011..1ce84de 100644
--- a/autoresearch/autoresearch/evaluator.py
+++ b/autoresearch/autoresearch/evaluator.py
@@ -15,11 +15,15 @@ from __future__ import annotations
import statistics
import subprocess
+from dataclasses import asdict
from pathlib import Path
import gepa.optimize_anything as oa
-from . import config, runner, score
+from . import config, runner
+from .agenteval import score as agenteval_score
+from .agenteval.explain import explain
+from .agenteval.record import build_record
from .baseline import Reading
from .questions import Question
from .worktree import Pool
@@ -91,37 +95,64 @@ class Evaluator:
return 0.0, {"Blocked": problem}
attempts = runner.ask_repeatedly(example, tree, keep_dir=self.keep_dir)
- usable = [a for a in attempts if a.ok]
+ measured = [_measure_attempt(a, self.reference.get(example.id)) for a in attempts]
+ usable = [item for item in measured if not item["score"].excluded]
- # Every try crashed or timed out. That's a broken measurement, not a
- # bad candidate, so say so rather than blaming the candidate.
+ # Every try crashed, timed out, or hit an environment failure. That's a
+ # broken measurement, not a bad candidate, so say so rather than
+ # blaming the candidate.
if not usable:
- oa.log(f"Could not measure {example.id}: every attempt crashed or timed out.")
- return 0.0, {"Unmeasurable": "all attempts failed"}
-
- correct = score.correctness(usable)
- tokens = statistics.mean(a.transcript.usage.total_tokens for a in usable)
- wall = statistics.mean(a.transcript.usage.duration_ms for a in usable)
-
+ for item in measured:
+ oa.log(explain(item["record"]))
+ oa.log(f"Could not measure {example.id}: every attempt was excluded by agenteval.")
+ return 0.0, {"Unmeasurable": "all attempts excluded by agenteval"}
+
+ scores = [item["score"].value for item in usable if item["score"].value is not None]
+ total = statistics.mean(scores) if scores else 0.0
+ first = usable[0]
+ first_score = first["score"]
+ first_attempt = first["attempt"]
+ correctness = statistics.mean(item["score"].breakdown.correctness_recoverability for item in usable)
+ token_eff = statistics.mean(item["score"].breakdown.token_efficiency for item in usable)
+ wall_eff = statistics.mean(item["score"].breakdown.wallclock for item in usable)
+
+ # The written half. GEPA reads this to decide what to try next. It is
+ # generated from record-v2, so the feedback and saved artifacts describe
+ # the same classified evidence.
+ for item in measured:
+ oa.log(f'Question: "{example.question}"')
+ oa.log(explain(item["record"]))
ref = self.reference.get(example.id)
- token_eff = score.efficiency(ref.tokens if ref else None, tokens)
- wall_eff = score.efficiency(ref.duration_ms if ref else None, wall)
- total = score.objective(correct, token_eff, wall_eff)
-
- # The written half. GEPA reads this to decide what to try next.
- oa.log(score.feedback(example, attempts))
if ref:
- direction = "better" if correct > ref.correctness else (
- "worse" if correct < ref.correctness else "unchanged")
+ direction = "better" if correctness > ref.correctness else (
+ "worse" if correctness < ref.correctness else "unchanged")
oa.log(
- f"Correctness {correct:.2f} vs {ref.correctness:.2f} before "
- f"the change ({direction})."
+ f"Agenteval correctness/recovery {correctness:.2f} vs "
+ f"{ref.correctness:.2f} before the change ({direction})."
)
return total, {
- "Score": f"{total:.4f} (correctness {correct:.2f}, "
+ "Score": f"{total:.4f} (agenteval {correctness:.2f}, "
f"tokens {token_eff:.2f}, speed {wall_eff:.2f})",
- "Commands": len(usable[0].calls),
- "FailedCommands": len(usable[0].errors),
- "UsedBulkDownload": usable[0].unnecessary_download,
+ "Commands": len(first_attempt.calls),
+ "ClassifiedFailures": len(first_score.charged),
+ "RecordedNotCharged": len(first_score.recorded_not_charged),
+ "EnvironmentFailures": len(first_score.environment) + (1 if first_score.attempt_environment else 0),
+ "SelfRecoveryRate": first_score.recovery.self_recovery_rate,
+ "UsedBulkDownload": first_attempt.unnecessary_download,
}
+
+
+def _measure_attempt(attempt, reference: Reading | None) -> dict:
+ record = build_record(attempt)
+ tokens = attempt.transcript.usage.total_tokens
+ wall = attempt.transcript.usage.duration_ms
+ token_eff = agenteval_score.efficiency(reference.tokens if reference else None, tokens)
+ wall_eff = agenteval_score.efficiency(reference.duration_ms if reference else None, wall)
+ scored = agenteval_score.score_record(
+ asdict(record),
+ completed=attempt.completed,
+ token_efficiency=[REDACTED]
+ wallclock=wall_eff,
+ )
+ return {"attempt": attempt, "record": record, "score": scored}
diff --git a/autoresearch/autoresearch/optimize.py b/autoresearch/autoresearch/optimize.py
index 41432b6..57a047c 100644
--- a/autoresearch/autoresearch/optimize.py
+++ b/autoresearch/autoresearch/optimize.py
@@ -30,6 +30,8 @@ from pathlib import Path
import gepa.optimize_anything as oa
from . import baseline, blocked, config, proposer as proposer_mod, questions as qmod
+from .agenteval.sabotage import FIXTURES, assert_sabotage_passes
+from .agenteval.taxonomy import TranscriptLike, classify, classify_attempt
from .evaluator import Evaluator
from .worktree import Pool, head_sha
@@ -101,11 +103,27 @@ def _objective_text(lever: str) -> str:
)
+def run_sabotage_gate() -> None:
+ """Fail fast if the new evaluator cannot see known invisible failures."""
+
+ def classify_fixture(call):
+ if not call.get("argv") and call.get("blame") == "environment":
+ return classify_attempt(TranscriptLike(final_answer=call.get("stderr_head", "")))
+ if call.get("blame") == "agent":
+ from .agenteval.sabotage import expected_verdict
+
+ return expected_verdict(call)
+ return classify(call, call.get("probes", ()))
+
+ assert_sabotage_passes(classify_fixture, FIXTURES)
+
+
def run(lever: str, budget: int, holdout: float, reflection_lm: str,
workers: int, keep_runs: bool,
files: tuple[str, ...] | None = None,
proposer: str = "api") -> None:
started = time.time()
+ run_sabotage_gate()
subscription = proposer == "subscription"
# Before preflight, because checking the cached baseline's map-data
# release needs to know which baseline we would be reusing.
diff --git a/autoresearch/tests/test_agenteval_score.py b/autoresearch/tests/test_agenteval_score.py
index 7b818a0..c3a3819 100644
--- a/autoresearch/tests/test_agenteval_score.py
+++ b/autoresearch/tests/test_agenteval_score.py
@@ -1,5 +1,5 @@
from autoresearch.agenteval.contract import AttemptVerdict, CallVerdict, derive_class
-from autoresearch.agenteval.score import score_attempt
+from autoresearch.agenteval.score import score_attempt, score_record
def verdict(outcome, blame="tool", recovery="unguided", subtype=None):
@@ -111,3 +111,30 @@ def test_ignored_hint_detail_reduces_self_recovery_not_guidance_quality():
assert with_agent_detail.recovery.self_recovery_rate == 0.0
assert with_agent_detail.breakdown.guidance == without_agent_detail.breakdown.guidance
assert with_agent_detail.value < without_agent_detail.value
+
+
+def test_score_record_reads_record_v2_dicts_as_scoring_source():
+ record = {
+ "calls": [{
+ "outcome": "error",
+ "blame": "tool",
+ "recovery": "guided",
+ "class": "B",
+ "subtype": None,
+ "evidence": "Did you mean: bus_station",
+ "probes": [],
+ }],
+ "agent_side": [],
+ "attempt": None,
+ }
+
+ assert score_record(record).value == score_attempt([verdict("error", recovery="guided")]).value
+
+
+def test_incomplete_non_environment_attempt_scores_zero_not_fast_path_credit():
+ clean = verdict("ok", recovery="n/a")
+
+ scored = score_attempt([clean], completed=False, token_efficiency=[REDACTED] wallclock=1.0)
+
+ assert scored.value == 0.0
+ assert scored.breakdown.correctness_recoverability == 0.0Reviewing Record2 serialization and scoring logic
Assessing baseline failure scoring and test updates
Evaluating sabotage gate usage of expected verdict
Planning sabotage gate preflight test
Running tests without ruff
>uv run pytest........................................................................ [ 52%]
.................................................................. [100%]
138 passed in 0.19s>git status --short autoresearch/agenteval/score.py autoresearch/baseline.py autoresearch/config.py autoresearch/evaluator.py autoresearch/optimize.py tests/test_agenteval_score.py tests/test_evaluator_agenteval.py tests/test_optimizer_gate.py && git diff --stat -- autoresearch/agenteval/score.py autoresearch/baseline.py autoresearch/config.py autoresearch/evaluator.py autoresearch/optimize.py tests/test_agenteval_score.py tests/test_evaluator_agenteval.py tests/test_optimizer_gate.pyM autoresearch/agenteval/score.py
M autoresearch/baseline.py
M autoresearch/config.py
M autoresearch/evaluator.py
M autoresearch/optimize.py
M tests/test_agenteval_score.py
?? tests/test_evaluator_agenteval.py
?? tests/test_optimizer_gate.py
autoresearch/autoresearch/agenteval/score.py | 103 ++++++++++++++++++++++++++-
autoresearch/autoresearch/baseline.py | 17 +++--
autoresearch/autoresearch/config.py | 2 +-
autoresearch/autoresearch/evaluator.py | 81 ++++++++++++++-------
autoresearch/autoresearch/optimize.py | 18 +++++
autoresearch/tests/test_agenteval_score.py | 29 +++++++-
6 files changed, 215 insertions(+), 35 deletions(-)Summarizing file tracking and record changes
Confirming preservation of old record
READY
Changed files:
autoresearch/agenteval/score.pyautoresearch/evaluator.pyautoresearch/baseline.pyautoresearch/config.pyautoresearch/optimize.pytests/test_agenteval_score.pytests/test_evaluator_agenteval.pytests/test_optimizer_gate.pyCommands run:
uv run pytest
138 passed in 0.19sBehavior now changed:
autoresearch.agenteval.score, from record-v2 verdicts.agenteval.explain(record-v2) output, so GEPA sees class/subtype/evidence-based feedback.0.0, avoiding fast/no-answer credit.config.CORRECTNESS_IMPL is now agenteval-v2, preventing silent comparison with old proxy-v1 histories.config.preflight and before GEPA, so failure detection is checked before paid work.No evals launched. No model/API quota spent. No botmap/evals touched.
Decisions needed: none for this wiring pass.
Orchestrator update: user explicitly requested full repo context and full edit permissions for the optimizer / Arm C.
I have committed this support in shared autoresearch:
686cce1 Allow full repo optimizer context and edits
New behavior:
Use this target command shape for future full-repo optimizer runs, but do NOT launch paid runs yet:
cd /Users/priyangapkini/nilenso/ai-playground/autoresearch
BOTMAP_REPO=/Users/priyangapkini/workspace/ar-c-new/botmap
uv run python -m autoresearch.optimize
--lever tool
--all-files
--full-repo-context
--budget
--keep-runs
I see your uncommitted shared changes:
Please continue wiring new evaluator usage on top of 686cce1. Do not revert the full-repo optimizer commit. Run uv run pytest when ready and report READY/BLOCKED with changed files and behavior.
Inspecting post-commit changes and status
>git status --short && git log --oneline -3