From 256c3425706d1c3376ec84c9e1601565750337f0 Mon Sep 17 00:00:00 2001
From: minixalpha <xkzalpha@gmail.com>
Date: Mon, 5 Oct 2026 04:50:14 -0700
Subject: [PATCH] docs(benchmarks): record the v0.9.0 pilot baseline

---
 .../harbor/configs/v0.9.0-pilot20/README.md   |   47 +
 .../configs/v0.9.0-pilot20/baseline.json      |  491 ++++
 .../configs/v0.9.0-pilot20/budget-1620s.json  |   30 +
 .../configs/v0.9.0-pilot20/budget-2220s.json  |   22 +
 .../configs/v0.9.0-pilot20/budget-3420s.json  |   34 +
 .../configs/v0.9.0-pilot20/budget-720s.json   |   66 +
 .../configs/v0.9.0-pilot20/install-only.json  |   99 +
 .../reports/v0.9.0-baseline-20261005.md       |  124 +
 .../results/tb21-v090-baseline-20261005.json  | 2092 +++++++++++++++++
 docs/dev_notes/README.md                      |    3 +
 docs/dev_notes/en/0.10.x.md                   |   49 +
 docs/dev_notes/zh-CN/0.10.x.md                |   39 +
 12 files changed, 3096 insertions(+)
 create mode 100644 benchmarks/harbor/configs/v0.9.0-pilot20/README.md
 create mode 100644 benchmarks/harbor/configs/v0.9.0-pilot20/baseline.json
 create mode 100644 benchmarks/harbor/configs/v0.9.0-pilot20/budget-1620s.json
 create mode 100644 benchmarks/harbor/configs/v0.9.0-pilot20/budget-2220s.json
 create mode 100644 benchmarks/harbor/configs/v0.9.0-pilot20/budget-3420s.json
 create mode 100644 benchmarks/harbor/configs/v0.9.0-pilot20/budget-720s.json
 create mode 100644 benchmarks/harbor/configs/v0.9.0-pilot20/install-only.json
 create mode 100644 benchmarks/harbor/reports/v0.9.0-baseline-20261005.md
 create mode 100644 benchmarks/harbor/results/tb21-v090-baseline-20261005.json
 create mode 100644 docs/dev_notes/en/0.10.x.md
 create mode 100644 docs/dev_notes/zh-CN/0.10.x.md

diff --git a/benchmarks/harbor/configs/v0.9.0-pilot20/README.md b/benchmarks/harbor/configs/v0.9.0-pilot20/README.md
new file mode 100644
index 0000000..aa166be
--- /dev/null
+++ b/benchmarks/harbor/configs/v0.9.0-pilot20/README.md
@@ -0,0 +1,47 @@
+# Frozen v0.9.0 pilot20 configuration
+
+These files define one 20-task baseline for the published v0.9.0 agent, before
+0.10.0 development. `baseline.json` records the release revision, original task
+revisions, task image digests, source/test hashes, budgets, and failure policy.
+The four budget groups are disjoint and cover the same 20 tasks as install-only.
+
+Copy this configuration directory into a checkout at the recorded v0.9.0
+revision, then run from that repository root using the standard Harbor adapter.
+The runner builds the agent from its current checkout. Configure an official
+DeepSeek API key in the environment and
+set `ANTHROPIC_BASE_URL=https://api.deepseek.com/anthropic`. Leave
+`ANTHROPIC_MODEL` unset so the explicit configuration selects `deepseek-flash`.
+See the [adapter documentation](../../README.md) for dependency and cache setup.
+
+Run dependency preflight before any model work:
+
+```bash
+uv run --project benchmarks/harbor python -m harbor_adapter run \
+  --config benchmarks/harbor/configs/v0.9.0-pilot20/install-only.json \
+  --install-only
+```
+
+After preflight succeeds, run these four commands sequentially. The adapter
+generates a fresh job name when `--job-name` is omitted.
+
+```bash
+uv run --project benchmarks/harbor python -m harbor_adapter run \
+  --config benchmarks/harbor/configs/v0.9.0-pilot20/budget-720s.json
+uv run --project benchmarks/harbor python -m harbor_adapter run \
+  --config benchmarks/harbor/configs/v0.9.0-pilot20/budget-1620s.json
+uv run --project benchmarks/harbor python -m harbor_adapter run \
+  --config benchmarks/harbor/configs/v0.9.0-pilot20/budget-2220s.json
+uv run --project benchmarks/harbor python -m harbor_adapter run \
+  --config benchmarks/harbor/configs/v0.9.0-pilot20/budget-3420s.json
+```
+
+The agent setup timeout is 1,800 seconds. Each task retains its native work and
+per-attempt verifier limits; the agent work budget reserves 180 seconds from the
+native agent timeout. Concurrency is two, with one model run per task and no
+whole-trial retries. Only verifier timeouts may retry, at most three attempts on
+the same agent output with the original per-attempt limit.
+
+At this revision, only the pinned QEMU task has a registered verifier dependency
+profile. The other 19 tasks must report `not_configured`, rather than being
+described as having passed verifier dependency preflight. Preserve every trial
+and report setup failures, verifier errors, and scored failures separately.
diff --git a/benchmarks/harbor/configs/v0.9.0-pilot20/baseline.json b/benchmarks/harbor/configs/v0.9.0-pilot20/baseline.json
new file mode 100644
index 0000000..a860693
--- /dev/null
+++ b/benchmarks/harbor/configs/v0.9.0-pilot20/baseline.json
@@ -0,0 +1,491 @@
+{
+  "agent_version": "0.9.0",
+  "agent_ref": "c0605369d277352ac0d5ec20d02017b7cb149314",
+  "dataset_ref": "sha256:7d7bdc1cbedad549fc1140404bd4dc45e5fd0ea7c4186773687d177ad3a0699a",
+  "endpoint": "https://api.deepseek.com/anthropic",
+  "model": "deepseek/deepseek-flash",
+  "task_count": 20,
+  "attempts_per_task": 1,
+  "concurrency": 2,
+  "max_turns": 100,
+  "max_tokens": 65536,
+  "agent_setup_timeout_seconds": 1800,
+  "setup_timeout_note": "Allow dependency installation up to 1800 seconds; this is separate from the unchanged native task-work and per-attempt verifier limits. Historical official pilot used the Harbor default of 360 seconds.",
+  "execution": "Run the four disjoint budget groups sequentially through the standard harbor_adapter entry point. Together they form one predeclared 20-task cohort, one model run per task.",
+  "whole_trial_retries": 0,
+  "verifier_timeout_attempts": 3,
+  "preflight": "Install-only for all tasks before model work. Registered QEMU verifier dependencies must pass; other tasks explicitly report not_configured.",
+  "failure_policy": "Preserve every trial. Report scored failures, setup failures, and verifier errors separately; never replace trials based on scores.",
+  "configuration_files": [
+    "benchmarks/harbor/configs/v0.9.0-pilot20/budget-720s.json",
+    "benchmarks/harbor/configs/v0.9.0-pilot20/budget-1620s.json",
+    "benchmarks/harbor/configs/v0.9.0-pilot20/budget-2220s.json",
+    "benchmarks/harbor/configs/v0.9.0-pilot20/budget-3420s.json"
+  ],
+  "tasks": [
+    {
+      "name": "terminal-bench/write-compressor",
+      "ref": "sha256:d9ddd9a8e925e2c566b37b2492cbf995afecefe58874e4043ef78d7f3c892c7e",
+      "native_agent_timeout_seconds": 900,
+      "work_budget_seconds": 720,
+      "verifier_timeout_seconds": 900.0,
+      "docker_image": "alexgshaw/write-compressor:20251031",
+      "docker_image_id": "sha256:3618e1f8a997b437c09cd3dbaac736705809c05f6f12f584b65722175970ebe1",
+      "docker_repo_digests": [
+        "alexgshaw/write-compressor@sha256:3618e1f8a997b437c09cd3dbaac736705809c05f6f12f584b65722175970ebe1"
+      ],
+      "task_file_sha256": {
+        "instruction.md": "c4fc3e73e44deeac95f1cd4a34a2d87e853b22ceec2b2824767f5f087b470bb2",
+        "task.toml": "6066a509066433c97c417fea68c4e3e73996f698dcdcbabe07718835eea355a6",
+        "tests/original-data.txt": "0fc483d0fb31128dfa41ed11adca56c88688888189826ef9daeafd7559b4fa4e",
+        "tests/original-decomp.c": "7f8d9ef66943f912a217aa48f4ef5efc967b44c2b21d0f56df029b5ab413f62a",
+        "tests/test.sh": "4770437ea96c3cc84684b4f99d55fb148fcac09f9ea1e8ef49de487716e6c334",
+        "tests/test_outputs.py": "809f486053e3ffbce852111dee1f63d80ab31297bd33172389e50278bed384e2"
+      }
+    },
+    {
+      "name": "terminal-bench/torch-tensor-parallelism",
+      "ref": "sha256:f32ce74a5aeb6638480247ab799fe46127bbee631acdd0921b0f394ec49b3684",
+      "native_agent_timeout_seconds": 900,
+      "work_budget_seconds": 720,
+      "verifier_timeout_seconds": 900.0,
+      "docker_image": "alexgshaw/torch-tensor-parallelism:20251031",
+      "docker_image_id": "sha256:c50ac169e11465f41b49749fe87e4487f24d31a0c39c0906cd3242cc5499c690",
+      "docker_repo_digests": [
+        "alexgshaw/torch-tensor-parallelism@sha256:c50ac169e11465f41b49749fe87e4487f24d31a0c39c0906cd3242cc5499c690"
+      ],
+      "task_file_sha256": {
+        "instruction.md": "13bde2ab165d72a311e2bf066d5d6c3c8761bf9d3dd39d1b23eda23bc546b910",
+        "task.toml": "72fd2a5500d1fe8795dcae76cccb1a29fb25894881a7475f2fa519c87d425a8d",
+        "tests/test.sh": "a7e6c9408b2401e4e7448371f7ddc72f3284caccfb56277d3cd4e98051868cdf",
+        "tests/test_outputs.py": "4ae4285e15fba1fcf13d7b7c0638ac8c2e2b0797c937abab1fb6b136fd508290"
+      }
+    },
+    {
+      "name": "terminal-bench/schemelike-metacircular-eval",
+      "ref": "sha256:58130c2166c3115276dc8592f358e326ff2d81ea852e3d88636c82fd1dff57e6",
+      "native_agent_timeout_seconds": 2400,
+      "work_budget_seconds": 2220,
+      "verifier_timeout_seconds": 2400.0,
+      "docker_image": "alexgshaw/schemelike-metacircular-eval:20251031",
+      "docker_image_id": "sha256:b485be38bf80d56c1a4cd9da95bbf7ec129dc03f6786b86c0525518a96f6d1db",
+      "docker_repo_digests": [
+        "alexgshaw/schemelike-metacircular-eval@sha256:b485be38bf80d56c1a4cd9da95bbf7ec129dc03f6786b86c0525518a96f6d1db"
+      ],
+      "task_file_sha256": {
+        "instruction.md": "3af5f9567b62f93683db7518ec6fcb609f83796258aa02166b5a7091c5b69031",
+        "task.toml": "8dae8eb226183b0ca92331c1106152a7abc93b03b4e5a95291b86a4ddc9b44e0",
+        "tests/interp.py": "efb8b5cdcf78b73afcf39d59600a1f355ca89b7bac9854bb01f110cc77bea2c1",
+        "tests/shadow_test/01-factorial.scm": "540e81fac476f04dc510ba107721d606ac980760088b2136889e7d4bf884e5c5",
+        "tests/shadow_test/02-fibonacci.scm": "628957171e0c4a3ee373635923fcd29e75bdf4bf13a402ac26fe94a5fc1443ac",
+        "tests/shadow_test/03-list-operations.scm": "fe8f17f59fe4045582fce363d52df95ba7c4de7345542c8bd4993a9f2f396235",
+        "tests/shadow_test/04-higher-order.scm": "9c2eba8c91bb7b224de56d789207d2eaad98bbe1f8c360d6eca4f014f42f9230",
+        "tests/shadow_test/05-simple-io.scm": "1eba30db30824fcf6048ea8e49b84e85c866cefce30862fce49b300e4416843c",
+        "tests/shadow_test/06-interactive-io.scm": "4fbc0e2d6e42c5a9495e549ccb13c02fcaeddf8fdaf8d2cf5de833116f12610a",
+        "tests/shadow_test/08-progn-sequencing.scm": "3bf8236dc5356d29ab8dbfe1b0f4c519354fbb23c8f3eaf946779c28b80feea3",
+        "tests/shadow_test/09-mutual-recursion.scm": "3bfa1f77e602c7039f8c8c70315e6d4fff6eed737dab0f0398e5bdf690137c2c",
+        "tests/shadow_test/10-advanced-features.scm": "b69ef497088fcf0aec388789a17561b783b8cdd5915719915a51c5ba189c31ff",
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+        "tests/test.sh": "4770437ea96c3cc84684b4f99d55fb148fcac09f9ea1e8ef49de487716e6c334",
+        "tests/test_outputs.py": "fbb84e3c0c2f72ed7de90f54380f860052c16155e7d0c9076cd57c966e9be7ed"
+      }
+    },
+    {
+      "name": "terminal-bench/kv-store-grpc",
+      "ref": "sha256:973c5d4c111fb61a344457936f1c36400acd2d9e44389e7b319586fe23a7a307",
+      "native_agent_timeout_seconds": 900,
+      "work_budget_seconds": 720,
+      "verifier_timeout_seconds": 900.0,
+      "docker_image": "alexgshaw/kv-store-grpc:20251031",
+      "docker_image_id": "sha256:3399400800dcb207634daa42bc1b052e831e285cc9d221eea66c47bc0fc79791",
+      "docker_repo_digests": [
+        "alexgshaw/kv-store-grpc@sha256:3399400800dcb207634daa42bc1b052e831e285cc9d221eea66c47bc0fc79791"
+      ],
+      "task_file_sha256": {
+        "instruction.md": "f4b3facc199d5b1c78db6e603ffa29ec1b93a77ff7d291e1a92b42e6bf582bed",
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+        "alexgshaw/merge-diff-arc-agi-task@sha256:bfc2a235f2ceea64ffb1ffc5529c2acebf570bff61f3668f0e5669ef570c17d4"
+      ],
+      "task_file_sha256": {
+        "instruction.md": "2d826479873e5ac1c94c1f802763bf85c22bb04624384685ebdf6b153fe0278e",
+        "task.toml": "6ced40e06b43b169857509765eb7f07791db558f9437cc7367d2536771c2ca5b",
+        "tests/test.json": "20f116a6b718bbf4874bbe203d15a5c0f85a1d88cb622e2d7529c7e4fb2d4c28",
+        "tests/test.sh": "c9052954cd6ce25c4a375a2fb48e765b1efa5b39f7991b93993cc793af8ab9d2",
+        "tests/test_outputs.py": "2754ba6c5c5f75c9db5ed2c5729d9f5d7e21cb7fdb18aa0c65abdc3e7e85c149"
+      }
+    }
+  ],
+  "source_sha256": {
+    "src/nanopycodeagent/__init__.py": "b922299f65b3db2fb1514df5aeda4413e599f595d2595f45a353b4dc551a1eb1",
+    "src/nanopycodeagent/agent.py": "2a24a51f04f0a23d4ee00374e97fcb8bce76941cdd9667bde2ee92254d884b5a",
+    "src/nanopycodeagent/atif.py": "ca4793b971d125d904888b858452db8db30e21f0d9b87818133062fb6cebe270",
+    "src/nanopycodeagent/bash_tool.py": "dcf0366fb9ebdca258d4c40b1a50b78b2ec79fc4b85cbb253ac9a9ce9534574f",
+    "src/nanopycodeagent/cli.py": "e335789b3f09440abd441547a2e3e2feb32b90c68e9ba5fc8237de8f6bac2932",
+    "src/nanopycodeagent/cost.py": "30a8df17942c424796e8532f45e1cb0784ed6541cea44284b863db3dae2f7b70",
+    "src/nanopycodeagent/deadline.py": "26a861721e6897a4e02e6ce364cb3ef1f1dc7d4ad9fb2f772404276f5c9e9d5f",
+    "src/nanopycodeagent/edit_tool.py": "78e2bec911279082b081366ab05cb4cbb37d8910b20b6245cccd4b0424489d0d",
+    "src/nanopycodeagent/event_journal.py": "8974919c2d460afb52bc57ec37e7e271851290c0845d01b4ad0f9f760cde0814",
+    "src/nanopycodeagent/read_tool.py": "e0075da19f2e1c6ccf34a3056a0aec92398e5afe67869937a096c6f1e04181c3",
+    "src/nanopycodeagent/settings.py": "491bf5c6eca50eb4c5fe04b7bfe62a8bfc7d2e1fad05b8eeac1680c2fcf3674e",
+    "src/nanopycodeagent/terminal.py": "8d27b40976b2b6d476e5106dfea982b055115435b4ba16b7f758412a05b75f04",
+    "src/nanopycodeagent/tool_validation.py": "3a1a85a7222dd1504bdf58f37e65a51d11de13d16c4e7df42c72b4cd58b5e5e5",
+    "src/nanopycodeagent/transport.py": "152d3ff78be0e3b2d92e0abbbfb652d73466aff57ad316c06dc0e072411167fe",
+    "src/nanopycodeagent/write_tool.py": "7671e83464fa1e942f25742fc573d0712e32053b5fc0291257884b027f7f6206",
+    "benchmarks/harbor/src/harbor_adapter/__init__.py": "513ad49c721b3e73293095c6a0486a791483e9aa2b51e0e9ad4b7816af07e76b",
+    "benchmarks/harbor/src/harbor_adapter/__main__.py": "db89d582fba45aad72147317f595531af49c434e3b23c65f22d7491f0b10551d",
+    "benchmarks/harbor/src/harbor_adapter/_verifier_runner.py": "2eb73c3e76d7360f2fa16018f0e933797bf982e589236095b5f98750f3807a7c",
+    "benchmarks/harbor/src/harbor_adapter/adapter.py": "d1aa154ec6972d706f0725cfa69c56635506d4499dff2a129e2c957ea7034c02",
+    "benchmarks/harbor/src/harbor_adapter/bootstrap.py": "f499bfddfc3d29338cae15a7f8f6e9c66d19eb69ad9577e607ced4b1aa057be2",
+    "benchmarks/harbor/src/harbor_adapter/verifier.py": "ec26fdefd69be1c5c450c9ba69d749d4a9d320a2a170b8db34421f0573d9b493"
+  },
+  "configuration_sha256": {
+    "budget-1620s.json": "7f23d228cadcddd45b2033ff1f002d371490c4280e79613244662ede983bb585",
+    "budget-2220s.json": "0bf57205bb0d82ea0342483a269eb995441a7c427fec40f0678f3a69b1a87b0b",
+    "budget-3420s.json": "6d427417078e98cae67a3db609cb49f2d6f99bd2e07ff1ccd1e33152cd99950e",
+    "budget-720s.json": "0f21d6d9572e99f9d66067fc7fdcd6f45a29511455d4194c332d88941065d904",
+    "install-only.json": "60afdec12d17a3462f8f4b43f58f4189b7e0be789a9f270026e4be267f405dd6"
+  },
+  "release_url": "https://github.com/minixalpha/nanoPyCodeAgent/releases/tag/v0.9.0",
+  "run_date": "2026-10-05"
+}
diff --git a/benchmarks/harbor/configs/v0.9.0-pilot20/budget-1620s.json b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-1620s.json
new file mode 100644
index 0000000..db7a095
--- /dev/null
+++ b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-1620s.json
@@ -0,0 +1,30 @@
+{
+  "n_concurrent_trials": 2,
+  "n_attempts": 1,
+  "agents": [
+    {
+      "name": "harbor_adapter:NanoPyCodeAgent",
+      "model_name": "deepseek/deepseek-flash",
+      "override_setup_timeout_sec": 1800,
+      "kwargs": {
+        "max_turns": 100,
+        "max_tokens": 65536,
+        "time_budget_seconds": 1620
+      }
+    }
+  ],
+  "tasks": [
+    {
+      "name": "terminal-bench/dna-assembly",
+      "ref": "sha256:e41a8e94d86019949b08d3b5f88a85f6d943ba0fd85d5e1d5ebb95cb8f66223f"
+    },
+    {
+      "name": "terminal-bench/path-tracing",
+      "ref": "sha256:cf56094c881a488b27e9f204a638a7e78ed7d55e12dc3064108c93357190314c"
+    },
+    {
+      "name": "terminal-bench/llm-inference-batching-scheduler",
+      "ref": "sha256:a3bf47589118daec5124fe3689b4439802c805b2f4ed9d402a48ae73ca2fea67"
+    }
+  ]
+}
diff --git a/benchmarks/harbor/configs/v0.9.0-pilot20/budget-2220s.json b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-2220s.json
new file mode 100644
index 0000000..0c80195
--- /dev/null
+++ b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-2220s.json
@@ -0,0 +1,22 @@
+{
+  "n_concurrent_trials": 2,
+  "n_attempts": 1,
+  "agents": [
+    {
+      "name": "harbor_adapter:NanoPyCodeAgent",
+      "model_name": "deepseek/deepseek-flash",
+      "override_setup_timeout_sec": 1800,
+      "kwargs": {
+        "max_turns": 100,
+        "max_tokens": 65536,
+        "time_budget_seconds": 2220
+      }
+    }
+  ],
+  "tasks": [
+    {
+      "name": "terminal-bench/schemelike-metacircular-eval",
+      "ref": "sha256:58130c2166c3115276dc8592f358e326ff2d81ea852e3d88636c82fd1dff57e6"
+    }
+  ]
+}
diff --git a/benchmarks/harbor/configs/v0.9.0-pilot20/budget-3420s.json b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-3420s.json
new file mode 100644
index 0000000..61a785f
--- /dev/null
+++ b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-3420s.json
@@ -0,0 +1,34 @@
+{
+  "n_concurrent_trials": 2,
+  "n_attempts": 1,
+  "agents": [
+    {
+      "name": "harbor_adapter:NanoPyCodeAgent",
+      "model_name": "deepseek/deepseek-flash",
+      "override_setup_timeout_sec": 1800,
+      "kwargs": {
+        "max_turns": 100,
+        "max_tokens": 65536,
+        "time_budget_seconds": 3420
+      }
+    }
+  ],
+  "tasks": [
+    {
+      "name": "terminal-bench/regex-chess",
+      "ref": "sha256:e763e0ac1c9759081af0a4a82ba51b8cf9ae5485a93de3bbe42d7d344597bd78"
+    },
+    {
+      "name": "terminal-bench/caffe-cifar-10",
+      "ref": "sha256:7b0045106d7d5af724efe96b610ba64f7893f5c88528401c573c4d47e384e2bf"
+    },
+    {
+      "name": "terminal-bench/mteb-leaderboard",
+      "ref": "sha256:484f6d7008a05b5b8640fc6618a384b8c9447cd76f85416c8a595028d29bff9c"
+    },
+    {
+      "name": "terminal-bench/circuit-fibsqrt",
+      "ref": "sha256:9bcffe1054bb33249aa578a9a2a74f3c8cca66b0cb7aa1328233f1d31822aae3"
+    }
+  ]
+}
diff --git a/benchmarks/harbor/configs/v0.9.0-pilot20/budget-720s.json b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-720s.json
new file mode 100644
index 0000000..29e0330
--- /dev/null
+++ b/benchmarks/harbor/configs/v0.9.0-pilot20/budget-720s.json
@@ -0,0 +1,66 @@
+{
+  "n_concurrent_trials": 2,
+  "n_attempts": 1,
+  "agents": [
+    {
+      "name": "harbor_adapter:NanoPyCodeAgent",
+      "model_name": "deepseek/deepseek-flash",
+      "override_setup_timeout_sec": 1800,
+      "kwargs": {
+        "max_turns": 100,
+        "max_tokens": 65536,
+        "time_budget_seconds": 720
+      }
+    }
+  ],
+  "tasks": [
+    {
+      "name": "terminal-bench/write-compressor",
+      "ref": "sha256:d9ddd9a8e925e2c566b37b2492cbf995afecefe58874e4043ef78d7f3c892c7e"
+    },
+    {
+      "name": "terminal-bench/torch-tensor-parallelism",
+      "ref": "sha256:f32ce74a5aeb6638480247ab799fe46127bbee631acdd0921b0f394ec49b3684"
+    },
+    {
+      "name": "terminal-bench/kv-store-grpc",
+      "ref": "sha256:973c5d4c111fb61a344457936f1c36400acd2d9e44389e7b319586fe23a7a307"
+    },
+    {
+      "name": "terminal-bench/pypi-server",
+      "ref": "sha256:1a1e0542f58e2d3362fec17a9bbb98667717d9a4a3e9a4c8413d3150a4fa0ff1"
+    },
+    {
+      "name": "terminal-bench/torch-pipeline-parallelism",
+      "ref": "sha256:db605337c749a872cea7b5b413429b3915bb4c3efe0f7875f0c46ce81bd8c4fb"
+    },
+    {
+      "name": "terminal-bench/qemu-alpine-ssh",
+      "ref": "sha256:60b7050b0e0aa51641208cf65766743d340e59575db2c4d2f8628240846c2a28"
+    },
+    {
+      "name": "terminal-bench/openssl-selfsigned-cert",
+      "ref": "sha256:d4afa2bd2a9ba1420db8d6cfde42ffdb4873ae2d955c35014e8da94444c83302"
+    },
+    {
+      "name": "terminal-bench/log-summary-date-ranges",
+      "ref": "sha256:27b074a2f10fff7606e096f3abd8dced418ad8fda0f53d88acbe477f2d9ceaf6"
+    },
+    {
+      "name": "terminal-bench/model-extraction-relu-logits",
+      "ref": "sha256:1ae5045ad68b5d34c3398b612066a07c4a08b6dc330d28868ec4021e17c94b17"
+    },
+    {
+      "name": "terminal-bench/regex-log",
+      "ref": "sha256:802c16cfd132e6c457529cb864be5a757c1b23b6cadc57f2d01983cb0110292a"
+    },
+    {
+      "name": "terminal-bench/pytorch-model-recovery",
+      "ref": "sha256:2e628841cff93290919172398e573e794f34c95d9382b7425adde4364022decc"
+    },
+    {
+      "name": "terminal-bench/merge-diff-arc-agi-task",
+      "ref": "sha256:6aab6511a5344ce87698293bb1ce4cc51d9a45f1ad9f0c075d2a83197b36727d"
+    }
+  ]
+}
diff --git a/benchmarks/harbor/configs/v0.9.0-pilot20/install-only.json b/benchmarks/harbor/configs/v0.9.0-pilot20/install-only.json
new file mode 100644
index 0000000..d08247e
--- /dev/null
+++ b/benchmarks/harbor/configs/v0.9.0-pilot20/install-only.json
@@ -0,0 +1,99 @@
+{
+  "n_concurrent_trials": 2,
+  "n_attempts": 1,
+  "agents": [
+    {
+      "name": "harbor_adapter:NanoPyCodeAgent",
+      "model_name": "deepseek/deepseek-flash",
+      "override_setup_timeout_sec": 1800,
+      "kwargs": {
+        "max_turns": 100,
+        "max_tokens": 65536,
+        "time_budget_seconds": 720
+      }
+    }
+  ],
+  "tasks": [
+    {
+      "name": "terminal-bench/write-compressor",
+      "ref": "sha256:d9ddd9a8e925e2c566b37b2492cbf995afecefe58874e4043ef78d7f3c892c7e"
+    },
+    {
+      "name": "terminal-bench/torch-tensor-parallelism",
+      "ref": "sha256:f32ce74a5aeb6638480247ab799fe46127bbee631acdd0921b0f394ec49b3684"
+    },
+    {
+      "name": "terminal-bench/schemelike-metacircular-eval",
+      "ref": "sha256:58130c2166c3115276dc8592f358e326ff2d81ea852e3d88636c82fd1dff57e6"
+    },
+    {
+      "name": "terminal-bench/kv-store-grpc",
+      "ref": "sha256:973c5d4c111fb61a344457936f1c36400acd2d9e44389e7b319586fe23a7a307"
+    },
+    {
+      "name": "terminal-bench/pypi-server",
+      "ref": "sha256:1a1e0542f58e2d3362fec17a9bbb98667717d9a4a3e9a4c8413d3150a4fa0ff1"
+    },
+    {
+      "name": "terminal-bench/dna-assembly",
+      "ref": "sha256:e41a8e94d86019949b08d3b5f88a85f6d943ba0fd85d5e1d5ebb95cb8f66223f"
+    },
+    {
+      "name": "terminal-bench/torch-pipeline-parallelism",
+      "ref": "sha256:db605337c749a872cea7b5b413429b3915bb4c3efe0f7875f0c46ce81bd8c4fb"
+    },
+    {
+      "name": "terminal-bench/qemu-alpine-ssh",
+      "ref": "sha256:60b7050b0e0aa51641208cf65766743d340e59575db2c4d2f8628240846c2a28"
+    },
+    {
+      "name": "terminal-bench/openssl-selfsigned-cert",
+      "ref": "sha256:d4afa2bd2a9ba1420db8d6cfde42ffdb4873ae2d955c35014e8da94444c83302"
+    },
+    {
+      "name": "terminal-bench/regex-chess",
+      "ref": "sha256:e763e0ac1c9759081af0a4a82ba51b8cf9ae5485a93de3bbe42d7d344597bd78"
+    },
+    {
+      "name": "terminal-bench/log-summary-date-ranges",
+      "ref": "sha256:27b074a2f10fff7606e096f3abd8dced418ad8fda0f53d88acbe477f2d9ceaf6"
+    },
+    {
+      "name": "terminal-bench/model-extraction-relu-logits",
+      "ref": "sha256:1ae5045ad68b5d34c3398b612066a07c4a08b6dc330d28868ec4021e17c94b17"
+    },
+    {
+      "name": "terminal-bench/path-tracing",
+      "ref": "sha256:cf56094c881a488b27e9f204a638a7e78ed7d55e12dc3064108c93357190314c"
+    },
+    {
+      "name": "terminal-bench/regex-log",
+      "ref": "sha256:802c16cfd132e6c457529cb864be5a757c1b23b6cadc57f2d01983cb0110292a"
+    },
+    {
+      "name": "terminal-bench/caffe-cifar-10",
+      "ref": "sha256:7b0045106d7d5af724efe96b610ba64f7893f5c88528401c573c4d47e384e2bf"
+    },
+    {
+      "name": "terminal-bench/mteb-leaderboard",
+      "ref": "sha256:484f6d7008a05b5b8640fc6618a384b8c9447cd76f85416c8a595028d29bff9c"
+    },
+    {
+      "name": "terminal-bench/llm-inference-batching-scheduler",
+      "ref": "sha256:a3bf47589118daec5124fe3689b4439802c805b2f4ed9d402a48ae73ca2fea67"
+    },
+    {
+      "name": "terminal-bench/pytorch-model-recovery",
+      "ref": "sha256:2e628841cff93290919172398e573e794f34c95d9382b7425adde4364022decc"
+    },
+    {
+      "name": "terminal-bench/circuit-fibsqrt",
+      "ref": "sha256:9bcffe1054bb33249aa578a9a2a74f3c8cca66b0cb7aa1328233f1d31822aae3"
+    },
+    {
+      "name": "terminal-bench/merge-diff-arc-agi-task",
+      "ref": "sha256:6aab6511a5344ce87698293bb1ce4cc51d9a45f1ad9f0c075d2a83197b36727d"
+    }
+  ],
+  "install_only": true
+}
diff --git a/benchmarks/harbor/reports/v0.9.0-baseline-20261005.md b/benchmarks/harbor/reports/v0.9.0-baseline-20261005.md
new file mode 100644
index 0000000..92531c5
--- /dev/null
+++ b/benchmarks/harbor/reports/v0.9.0-baseline-20261005.md
@@ -0,0 +1,124 @@
+# v0.9.0 frozen pilot20 baseline
+
+The published nanoPyCodeAgent **0.9.0** completed the predeclared 20-task
+Terminal-Bench 2.1 pilot on 2026-10-05: **18/20 passed**, **2 scored failures**,
+and **0 unscored trials**. This is the baseline for development toward 0.10.0.
+
+The [public results](../results/tb21-v090-baseline-20261005.json) contain all
+20 trials, hashes, timings, native outcomes, and known usage. The
+[predeclared configuration](../configs/v0.9.0-pilot20/baseline.json) records the
+original task revisions and budgets. Raw evidence stays in Git-ignored `jobs/`.
+
+## Frozen inputs and execution
+
+| Setting | Value |
+| --- | --- |
+| Agent release | [v0.9.0](https://github.com/minixalpha/nanoPyCodeAgent/releases/tag/v0.9.0) |
+| Agent and adapter revision | `c0605369d277352ac0d5ec20d02017b7cb149314` |
+| Model | `deepseek/deepseek-flash` (native model name `deepseek-flash`) |
+| Endpoint | `https://api.deepseek.com/anthropic` |
+| Dataset revision | `sha256:7d7bdc1cbedad549fc1140404bd4dc45e5fd0ea7c4186773687d177ad3a0699a` |
+| Tasks | The same 20 pinned revisions as the September 30 official-endpoint pilot |
+| Turn / generation limit | 100 model turns / 65,536 output tokens per request |
+| Work budget | Native agent timeout minus 180 seconds |
+| Concurrency / model runs per task / whole-trial retries | 2 / 1 / 0 |
+| Agent dependency setup timeout | 1,800 seconds; separate from task work |
+| Verifier policy | Native per-attempt timeout; timeout-only retry, at most 3 attempts |
+| Run start / finish (UTC) | 2026-10-05T09:04:24.092774+00:00 / 2026-10-05T11:47:12.665041+00:00 |
+| Wall time | 2.71 hours, including group setup and verification |
+
+The standard runner uses one work budget per job. Four disjoint groups ran
+sequentially through `uv run --project benchmarks/harbor python -m harbor_adapter run`:
+
+| Work budget (seconds) | Tasks | Job |
+| ---: | ---: | --- |
+| 720 | 12 | `v090-pilot20-720s-20261005` |
+| 1620 | 3 | `v090-pilot20-1620s-20261005` |
+| 2220 | 1 | `v090-pilot20-2220s-20261005` |
+| 3420 | 4 | `v090-pilot20-3420s-20261005` |
+
+Every preflight and benchmark wheel has the same SHA256 as the published PyPI
+wheel `nanopycodeagent-0.9.0-py3-none-any.whl`:
+`28bf15811d812c343bbd34ad1e3dc7928c62726c0f620d40568b92cd98594dd2`. All 21 recorded agent/adapter
+source files match the release tag. All 152 recorded instruction, task configuration,
+and official test files retained their predeclared hashes; full-run task
+checksums also match preflight.
+
+## Dependency preflight
+
+The install-only job `v090-pilot20-install-20261005` finished before model work:
+**20/20 agent installations passed**, all reporting version 0.9.0. The registered
+`qemu-alpine-ssh-v1` verifier dependency profile passed. The other **19 tasks
+reported `not_configured`**; their official test dependencies were not certified
+by preflight. Install-only runs do not call the model or score task assertions.
+
+Setup uses the shared APT cache with filename, size, and SHA256 verification
+against each task's package index. Task images and package sources were preserved.
+The 1,800-second agent setup limit is an explicit infrastructure change from the
+historical 360-second default; native task work and individual verifier limits
+were unchanged.
+
+## Per-task results
+
+Agent seconds measure the Harbor agent-execution interval, including finalization.
+Model steps count native ATIF agent entries, including incomplete attempts.
+Costs are known token-based USD estimates; an asterisk marks incomplete accounting.
+
+| Task | Reward | Native outcome | Work budget (s) | Agent (s) | Model steps | Known cost (USD) |
+| --- | ---: | --- | ---: | ---: | ---: | ---: |
+| `write-compressor` | 1 | `completed` | 720 | 476.5 | 49 | 0.134445 |
+| `torch-tensor-parallelism` | 1 | `completed` | 720 | 361.6 | 17 | 0.047699 |
+| `schemelike-metacircular-eval` | 0 | `response_truncated` | 2220 | 1163.4 | 68 | 0.298166* |
+| `kv-store-grpc` | 1 | `completed` | 720 | 165.0 | 10 | 0.004492 |
+| `pypi-server` | 1 | `completed` | 720 | 101.5 | 15 | 0.013944 |
+| `dna-assembly` | 1 | `completed` | 1620 | 882.2 | 58 | 0.226623 |
+| `torch-pipeline-parallelism` | 1 | `completed` | 720 | 601.7 | 27 | 0.055660 |
+| `qemu-alpine-ssh` | 1 | `completed` | 720 | 417.4 | 32 | 0.048066 |
+| `openssl-selfsigned-cert` | 1 | `completed` | 720 | 21.9 | 8 | 0.004056 |
+| `regex-chess` | 1 | `completed` | 3420 | 2496.1 | 93 | 0.369176 |
+| `log-summary-date-ranges` | 1 | `completed` | 720 | 145.0 | 8 | 0.005269 |
+| `model-extraction-relu-logits` | 0 | `response_truncated` | 720 | 301.3 | 2 | 0.079039 |
+| `path-tracing` | 1 | `completed` | 1620 | 313.6 | 21 | 0.110831 |
+| `regex-log` | 1 | `completed` | 720 | 477.3 | 20 | 0.105065 |
+| `caffe-cifar-10` | 1 | `completed` | 3420 | 1850.4 | 69 | 0.091623 |
+| `mteb-leaderboard` | 1 | `completed` | 3420 | 1356.3 | 83 | 0.117396 |
+| `llm-inference-batching-scheduler` | 1 | `completed` | 1620 | 378.6 | 26 | 0.089773 |
+| `pytorch-model-recovery` | 1 | `completed` | 720 | 114.9 | 10 | 0.020883 |
+| `circuit-fibsqrt` | 1 | `completed` | 3420 | 1389.2 | 45 | 0.136586 |
+| `merge-diff-arc-agi-task` | 1 | `completed` | 720 | 71.1 | 17 | 0.015473 |
+
+All **20/20 native trajectories** passed Harbor's ATIF validator.
+There were **20 verifier attempts** across 20 trials. Completed zero
+scores were retained; no model run was repeated to replace a failure.
+
+## Scored failures
+
+- `model-extraction-relu-logits`: The agent ended with `response_truncated` after about 300 seconds. The official test failed because `/app/steal.py` was missing, so the required `/app/stolen_A1.npy` artifact was not produced. This is a scored failure, not a setup or verifier error.
+- `schemelike-metacircular-eval`: The agent ended with `response_truncated` after about 1,162 seconds. The official evaluator passed 58 of 63 subcases and failed 5, producing reward 0. Two earlier model streams raised `RemoteProtocolError` and were retried successfully; their usage was unavailable. The verifier itself completed on its first attempt. The terminal outcome and incorrect subcases are separate observations, not proof that truncation caused every incorrect result.
+
+## Usage and cost limits
+
+The known estimated subtotal is **$1.974266**, using the static
+DeepSeek price table shipped in v0.9.0. There were **2 incomplete model attempts**;
+their missing usage and cost are unknown. The subtotal is therefore **partial**
+and must not be presented as the complete run cost or a provider bill.
+
+Known tokens: **48,617,531 prompt**
+(**48,119,548 cached**) and
+**1,280,128 completion**. Complete token totals are
+unavailable. Recovered model-stream interruptions are recorded separately from
+fatal Harbor exceptions and scored task failures.
+
+## Interpretation and next work
+
+This run establishes the actual released artifact's baseline before 0.10.0
+feature changes. Response truncation is a concrete follow-up for 0.10.0:
+inspect the failed cases and evaluate a bounded recovery policy in a separate
+experiment, preserving this cohort's original scores.
+
+The [September 30 run](deepseek-official-20260930.md) had 16 passed tasks,
+2 scored failures, and 2 infrastructure exceptions. The task revisions are
+unchanged, but the agent/harness revision, setup limit, cache state, and run date
+differ. Earlier OpenRouter runs also used another model/provider configuration.
+These records do not isolate the causal effect of an agent change. Pilot20 is
+only this small task cohort, not a full 89-task Terminal-Bench score.
diff --git a/benchmarks/harbor/results/tb21-v090-baseline-20261005.json b/benchmarks/harbor/results/tb21-v090-baseline-20261005.json
new file mode 100644
index 0000000..4190ad3
--- /dev/null
+++ b/benchmarks/harbor/results/tb21-v090-baseline-20261005.json
@@ -0,0 +1,2092 @@
+{
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+  "agent_ref": "c0605369d277352ac0d5ec20d02017b7cb149314",
+  "model": "deepseek/deepseek-flash",
+  "endpoint": "https://api.deepseek.com/anthropic",
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+  "started_at": "2026-10-05T09:04:24.092774+00:00",
+  "finished_at": "2026-10-05T11:47:12.665041+00:00",
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+      {
+        "task": "terminal-bench/schemelike-metacircular-eval",
+        "task_ref": "sha256:58130c2166c3115276dc8592f358e326ff2d81ea852e3d88636c82fd1dff57e6",
+        "task_checksum": "e4525988ae20585b6b90a2f1af2fcc9d18d6363d3cfcdd7be5305199428883d2",
+        "status": "setup_passed",
+        "agent_version": "0.9.0",
+        "verifier_preflight": {
+          "profile": null,
+          "status": "not_configured"
+        }
+      },
+      {
+        "task": "terminal-bench/torch-pipeline-parallelism",
+        "task_ref": "sha256:db605337c749a872cea7b5b413429b3915bb4c3efe0f7875f0c46ce81bd8c4fb",
+        "task_checksum": "31e565558cd22598a3c2069f771d9d0eee26fb843b77f7b03e00ad4c336fbce9",
+        "status": "setup_passed",
+        "agent_version": "0.9.0",
+        "verifier_preflight": {
+          "profile": null,
+          "status": "not_configured"
+        }
+      },
+      {
+        "task": "terminal-bench/torch-tensor-parallelism",
+        "task_ref": "sha256:f32ce74a5aeb6638480247ab799fe46127bbee631acdd0921b0f394ec49b3684",
+        "task_checksum": "d0160c1fe523063419b445f7b2974b64ff72a842ad5dc2b970d256e7629f0426",
+        "status": "setup_passed",
+        "agent_version": "0.9.0",
+        "verifier_preflight": {
+          "profile": null,
+          "status": "not_configured"
+        }
+      },
+      {
+        "task": "terminal-bench/write-compressor",
+        "task_ref": "sha256:d9ddd9a8e925e2c566b37b2492cbf995afecefe58874e4043ef78d7f3c892c7e",
+        "task_checksum": "17ff45a3beaa04e5f08eb4f3c6136f4b56602bdcca52ade0896cfd341f374e99",
+        "status": "setup_passed",
+        "agent_version": "0.9.0",
+        "verifier_preflight": {
+          "profile": null,
+          "status": "not_configured"
+        }
+      }
+    ]
+  },
+  "published_artifact": {
+    "checked_at": "2026-10-05T10:59:27.740782+00:00",
+    "metadata_url": "https://pypi.org/pypi/nanopycodeagent/0.9.0/json",
+    "filename": "nanopycodeagent-0.9.0-py3-none-any.whl",
+    "published_wheel_sha256": "28bf15811d812c343bbd34ad1e3dc7928c62726c0f620d40568b92cd98594dd2",
+    "local_wheel_sha256": {
+      "jobs/v090-pilot20-install-20261005-input": "28bf15811d812c343bbd34ad1e3dc7928c62726c0f620d40568b92cd98594dd2",
+      "jobs/v090-pilot20-720s-20261005-input": "28bf15811d812c343bbd34ad1e3dc7928c62726c0f620d40568b92cd98594dd2",
+      "jobs/v090-pilot20-1620s-20261005-input": "28bf15811d812c343bbd34ad1e3dc7928c62726c0f620d40568b92cd98594dd2",
+      "jobs/v090-pilot20-2220s-20261005-input": "28bf15811d812c343bbd34ad1e3dc7928c62726c0f620d40568b92cd98594dd2",
+      "jobs/v090-pilot20-3420s-20261005-input": "28bf15811d812c343bbd34ad1e3dc7928c62726c0f620d40568b92cd98594dd2"
+    },
+    "local_wheels_identical_to_pypi": true,
+    "package_sources_match_pypi": {
+      "src/nanopycodeagent/__init__.py": true,
+      "src/nanopycodeagent/agent.py": true,
+      "src/nanopycodeagent/atif.py": true,
+      "src/nanopycodeagent/bash_tool.py": true,
+      "src/nanopycodeagent/cli.py": true,
+      "src/nanopycodeagent/cost.py": true,
+      "src/nanopycodeagent/deadline.py": true,
+      "src/nanopycodeagent/edit_tool.py": true,
+      "src/nanopycodeagent/event_journal.py": true,
+      "src/nanopycodeagent/read_tool.py": true,
+      "src/nanopycodeagent/settings.py": true,
+      "src/nanopycodeagent/terminal.py": true,
+      "src/nanopycodeagent/tool_validation.py": true,
+      "src/nanopycodeagent/transport.py": true,
+      "src/nanopycodeagent/write_tool.py": true
+    }
+  },
+  "accounting_note": "Known token-based estimates use the static price table shipped in v0.9.0. Incomplete attempts are excluded from known subtotals; their cost and tokens are unknown, not zero. These are not provider billing totals.",
+  "evidence_note": "Raw trajectories, journals, setup logs, and verifier output remain in the referenced Git-ignored local jobs directories. This file contains metadata and aggregate metrics only.",
+  "failure_observations": {
+    "model-extraction-relu-logits": "The agent ended with `response_truncated` after about 300 seconds. The official test failed because `/app/steal.py` was missing, so the required `/app/stolen_A1.npy` artifact was not produced. This is a scored failure, not a setup or verifier error.",
+    "schemelike-metacircular-eval": "The agent ended with `response_truncated` after about 1,162 seconds. The official evaluator passed 58 of 63 subcases and failed 5, producing reward 0. Two earlier model streams raised `RemoteProtocolError` and were retried successfully; their usage was unavailable. The verifier itself completed on its first attempt. The terminal outcome and incorrect subcases are separate observations, not proof that truncation caused every incorrect result."
+  }
+}
diff --git a/docs/dev_notes/README.md b/docs/dev_notes/README.md
index d0e3d54..b12c04d 100644
--- a/docs/dev_notes/README.md
+++ b/docs/dev_notes/README.md
@@ -21,3 +21,6 @@ Current release series: **0.9.x** ([Chinese source](zh-CN/0.9.x.md),
 [English version](en/0.9.x.md)). The **0.8.x** notes retain the development
 record for v0.8.0 ([Chinese source](zh-CN/0.8.x.md),
 [English version](en/0.8.x.md)).
+
+Development toward **0.10.x** starts with the frozen v0.9.0 benchmark baseline
+([Chinese source](zh-CN/0.10.x.md), [English version](en/0.10.x.md)).
diff --git a/docs/dev_notes/en/0.10.x.md b/docs/dev_notes/en/0.10.x.md
new file mode 100644
index 0000000..df4e4ea
--- /dev/null
+++ b/docs/dev_notes/en/0.10.x.md
@@ -0,0 +1,49 @@
+# Development Notes — 0.10.x
+
+> This file is **generated from the Chinese source** [`../zh-CN/0.10.x.md`](../zh-CN/0.10.x.md).
+
+## 0.10.0 - YYYY.MM.DD
+
+### Freeze the v0.9.0 pilot20 baseline before development
+
+After publishing 0.9.0, rerun the complete original Terminal-Bench 2.1 pilot20
+on 2026-10-05 as the starting point for 0.10.0 development. Both the agent and
+Harbor adapter are pinned to release commit
+`c0605369d277352ac0d5ec20d02017b7cb149314`. The preflight and all four benchmark
+wheels have the same SHA256 as the PyPI 0.9.0 artifact. No agent or harness
+source changed during the run.
+
+Use DeepSeek's official Anthropic-compatible endpoint, `deepseek-flash`,
+100 turns, and a 65,536-output-token limit per request. Each task's work budget
+remains its native agent limit minus 180 seconds. The standard entry point runs
+four groups with budgets of 720, 1,620, 2,220, and 3,420 seconds: 20 tasks in
+total, one model run per task, and concurrency two within each group. Explicitly
+raise dependency setup from the historical 360-second default to 1,800 seconds,
+separate from task work. Preserve the native per-attempt verifier limits.
+
+Run install-only first: all 20 agent installations pass. QEMU's registered
+verifier dependency profile passes; the other 19 tasks explicitly report
+`not_configured`. Preserve task images, APT sources, and official tests. Verify
+cache hits against filenames, sizes, and SHA256 digests in the original index.
+
+The final result is **18/20 passed, 2 scored failures, and 0 unscored trials**.
+The scored failures are `model-extraction-relu-logits` (missing the required
+script and output artifact) and `schemelike-metacircular-eval` (58 of 63
+subcases passed). Both have the native outcome `response_truncated`, but that
+outcome alone does not establish truncation as the cause of every error. All
+native trajectories pass ATIF validation. Preserve every trial without
+replacing failed scores through reruns.
+
+The known token-based estimated subtotal is **$1.974266**. Two recovered model
+stream interruptions in the Scheme task have no usage records, so token and
+cost totals are incomplete. Missing values are not zero, and the estimated
+subtotal is not the provider bill.
+
+The [full report](../../../benchmarks/harbor/reports/v0.9.0-baseline-20261005.md),
+[structured results](../../../benchmarks/harbor/results/tb21-v090-baseline-20261005.json),
+and [frozen configuration](../../../benchmarks/harbor/configs/v0.9.0-pilot20/README.md)
+provide the audit references. Raw logs remain in Git-ignored `jobs/`. Prioritize
+investigating bounded truncation recovery in a separate experiment while
+preserving this run's scores. Pilot20 is a small trial cohort, not the full
+89-task score. Historical runs with different dates and conditions do not
+isolate the causal effect of a single change.
diff --git a/docs/dev_notes/zh-CN/0.10.x.md b/docs/dev_notes/zh-CN/0.10.x.md
new file mode 100644
index 0000000..3326a43
--- /dev/null
+++ b/docs/dev_notes/zh-CN/0.10.x.md
@@ -0,0 +1,39 @@
+# 开发笔记 — 0.10.x
+
+> 本文件为**中文源文件**(source of truth);英文版 [`../en/0.10.x.md`](../en/0.10.x.md) 由其生成。
+
+## 0.10.0 - YYYY.MM.DD
+
+### 开发前先固定 0.9.0 的 20 题 baseline
+
+0.9.0 发布后，于 2026-10-05 重新完整运行原来的 Terminal-Bench 2.1 pilot20，
+作为 0.10.0 开发前的起点。Agent 和 Harbor adapter 都固定到发布提交
+`c0605369d277352ac0d5ec20d02017b7cb149314`；预检和四组正式运行的 wheel 均与 PyPI
+0.9.0 发布包的 SHA256 一致。运行期间没有改动 agent 或 harness 源码。
+
+使用 DeepSeek 官方 Anthropic 兼容端点、`deepseek-flash`、100 回合和每次请求
+65,536 输出 token 上限。每题工作预算仍为原始 agent 时限减 180 秒；标准入口按
+720、1,620、2,220、3,420 秒分成四组，合计 20 题，每题只运行一次，组内并发为 2。
+依赖安装时限明确从历史默认 360 秒调到 1,800 秒，不占用题目的工作预算，原始
+逐次 verifier 时限保持不变。
+
+先做 install-only：20 题 agent 安装全部通过；QEMU 已注册的 verifier 依赖
+profile 通过，其余 19 题明确记录为 `not_configured`。任务镜像、APT 源和官方
+测试保持原样，缓存命中按原索引的文件名、大小和 SHA256 校验。
+
+最终结果是 **18/20 通过、2 题评分失败、0 题未评分**。两道评分失败为
+`model-extraction-relu-logits`（缺少要求的脚本和输出文件）与
+`schemelike-metacircular-eval`（63 个子例通过 58 个）。两题的原生终态均为
+`response_truncated`，但终态本身不能证明全部错误都由截断导致。所有原生
+trajectory 均通过 ATIF 校验，保留所有试次，没有用重跑替换失败分数。
+
+已知 token 费用估算小计为 **$1.974266**。Scheme 任务有两次已恢复的模型流
+中断，其 usage 缺失，因此 token 总数和费用都不完整，不能把缺失部分当作零，也
+不能把估算小计当成实际账单。
+
+[完整报告](../../../benchmarks/harbor/reports/v0.9.0-baseline-20261005.md)、
+[结构化结果](../../../benchmarks/harbor/results/tb21-v090-baseline-20261005.json) 和
+[固定配置](../../../benchmarks/harbor/configs/v0.9.0-pilot20/README.md) 保留了复核入口。
+原始日志留在 Git 忽略的 `jobs/` 中。后续优先研究有界的截断恢复策略，作为独立
+实验评估；本轮分数保持不变。20 题只是小规模试跑，不能代表完整 89 题的分数，
+也不能从不同日期、不同运行条件的历史结果推导单一改动的因果效果。