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Publish sanitized E1 Luna six-way results, tasks, traces and reports

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Files changed (43) hide show
  1. README.md +58 -0
  2. SHA256SUMS +42 -0
  3. e1-luna-six-way-20261003/evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/harbor_codex_rap/C005/private/mcp-tools.json +702 -0
  4. e1-luna-six-way-20261003/evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/harbor_codex_rap/C005/private/run-settings.json +13 -0
  5. e1-luna-six-way-20261003/evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/native_v2/C002/episode.json +2056 -0
  6. e1-luna-six-way-20261003/evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/native_v2/C002/run-config.json +34 -0
  7. e1-luna-six-way-20261003/evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/plan.json +1240 -0
  8. e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/C002/private/mcp-tools.json +136 -0
  9. e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/C002/private/run-settings.json +13 -0
  10. e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/plan.json +0 -0
  11. e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/summary.json +0 -0
  12. e1-luna-six-way-20261003/evidence/e1-native-v2-r2-control-smoke-luna-20261002/C002/episode.json +0 -0
  13. e1-luna-six-way-20261003/evidence/e1-native-v2-r2-control-smoke-luna-20261002/C002/run-config.json +36 -0
  14. e1-luna-six-way-20261003/implementation/integrations/harbor/README.md +266 -0
  15. e1-luna-six-way-20261003/implementation/src/rap_harbor/bridge.py +245 -0
  16. e1-luna-six-way-20261003/implementation/src/rap_harbor/e1.py +59 -0
  17. e1-luna-six-way-20261003/implementation/src/rap_harbor/run.py +151 -0
  18. e1-luna-six-way-20261003/implementation/src/rap_harbor/verifier.py +25 -0
  19. e1-luna-six-way-20261003/implementation/src/rap_native_v2/domains/e1.py +108 -0
  20. e1-luna-six-way-20261003/implementation/src/rap_native_v2/domains/e1_coordinate.py +26 -0
  21. e1-luna-six-way-20261003/implementation/src/rap_native_v2/responses.py +112 -0
  22. e1-luna-six-way-20261003/implementation/src/rap_native_v2/runtime.py +134 -0
  23. e1-luna-six-way-20261003/implementation/src/rap_native_v2/schema.py +219 -0
  24. e1-luna-six-way-20261003/implementation/vendor/rap-method/pcb/experiments/01-ladder/agent.py +273 -0
  25. e1-luna-six-way-20261003/implementation/vendor/rap-method/pcb/experiments/01-ladder/rungs/declarative.py +78 -0
  26. e1-luna-six-way-20261003/implementation/vendor/rap-method/pcb/experiments/01-ladder/rungs/raw.py +40 -0
  27. e1-luna-six-way-20261003/manifest.json +0 -0
  28. e1-luna-six-way-20261003/metadata/historical-comparison.json +358 -0
  29. e1-luna-six-way-20261003/metadata/historical-sources.json +76 -0
  30. e1-luna-six-way-20261003/raw/harbor_codex_r2.tar.gz +3 -0
  31. e1-luna-six-way-20261003/raw/harbor_codex_rap.tar.gz +3 -0
  32. e1-luna-six-way-20261003/raw/native_v2_r2.tar.gz +3 -0
  33. e1-luna-six-way-20261003/raw/native_v2_rap.tar.gz +3 -0
  34. e1-luna-six-way-20261003/raw/paper_r2.tar.gz +3 -0
  35. e1-luna-six-way-20261003/raw/paper_rap.tar.gz +3 -0
  36. e1-luna-six-way-20261003/report.html +20 -0
  37. e1-luna-six-way-20261003/results.jsonl +0 -0
  38. e1-luna-six-way-20261003/setup-summary.html +193 -0
  39. e1-luna-six-way-20261003/summary.json +191 -0
  40. e1-luna-six-way-20261003/tasks/frozen-tasks.json +2745 -0
  41. e1-luna-six-way-20261003/tasks/selected-task-ids.json +100 -0
  42. e1-luna-six-way-20261003/tasks/tasks.jsonl +0 -0
  43. verify_release.py +93 -0
README.md ADDED
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+ ---
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+ pretty_name: RAP E1 Luna Six-Way Evaluation
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+ language:
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+ - en
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+ - zh
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+ tags:
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+ - pcb
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+ - agent-evaluation
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+ - rap
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+ - tool-use
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+ size_categories:
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+ - n<1K
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+ configs:
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+ - config_name: e1_luna_six_way
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+ data_files:
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+ - split: test
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+ path: e1-luna-six-way-20261003/results.jsonl
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+ ---
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+ # RAP evaluation data
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+
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+ Current release: **e1-luna-six-way-20261003**. It contains **98 frozen simulated PCB test tasks × 6 conditions = 588 episodes**, all with GPT-5.6 Luna, seed 1, and at most 5 model API calls per episode. No models were called and no results were regraded for publication.
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+
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+ | Condition | Clean pass | Total tokens | Mean wall seconds / episode |
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+ |---|---:|---:|---:|
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+ | Historical R2 | 24/98 | 966,897 | 41.77 |
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+ | Historical RAP / R4b | 94/98 | 591,725 | 9.13 |
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+ | Native V2 + R2 | 29/98 | 2,244,091 | 22.53 |
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+ | Native V2 + RAP | 91/98 | 1,577,621 | 15.19 |
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+ | Harbor Codex + R2 | 24/98 | 6,992,722 | 71.78 |
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+ | Harbor Codex + RAP | 90/98 | 5,211,733 | 62.44 |
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+
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+ ## Browse and download
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+
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+ - [Results and latency HTML](e1-luna-six-way-20261003/report.html) — download and open locally.
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+ - [Setup summary HTML](e1-luna-six-way-20261003/setup-summary.html) — each row's tools, history, settings, and comparison limits.
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+ - [Per-episode metrics](e1-luna-six-way-20261003/results.jsonl), [summary](e1-luna-six-way-20261003/summary.json), [98 complete tasks](e1-luna-six-way-20261003/tasks/tasks.jsonl).
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+ - [Raw evidence archives](e1-luna-six-way-20261003/raw): one compressed archive per condition, retaining per-task prompts/requests, visible responses, tool calls/feedback, artifacts, grades, usage, and available run configuration.
38
+ - [Provenance and redaction manifest](e1-luna-six-way-20261003/manifest.json), [SHA256SUMS](SHA256SUMS), [offline validator](verify_release.py).
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+
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+ The historical two arms have recorded actions and usage ledgers, but not all original HTTP request/response bodies. Current four arms include the stored request/response records. A file named `private/grade.json` inside an archive is a formerly host-private grader artifact, now deliberately included for audit; it is not a credential file. No hidden checker was exposed as an agent tool during the runs.
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+
42
+ ## Scope and limitations
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+
44
+ This is **not** all E1–E5, all nine models, or 196 tasks across six seeds. The full frozen manifest includes 223 task entries; only the 98 IDs in `selected-task-ids.json` belong to this release. Other historical baseline summary values may appear in provenance metadata, but their trajectories are not included.
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+
46
+ Historical Luna used output cap 1,200 and omitted reasoning effort; current runs use 8,192 and medium. Their prompts, history handling and tool serialization differ. Native and Harbor use the same RAP backend and checker, but Harbor adds a general coding-agent loop, tool discovery and scratch tools. R2 is a single-object/net geometry interface, while RAP realizes whole bundles. The 5-call constraint creates a necessary-action bottleneck for at least 47 tasks under R2. Thus these are interface/pipeline results, not an isolated proof of superior general reasoning or a pure native-vs-text/harness ablation.
47
+
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+ Latency includes both passing and failing episodes. Harbor includes job and environment setup; Native records its loop and final grading. Timing also depends on request load and worker conditions. Tokens are input + output per provider call, including cached input and reasoning output exactly once. Costs are reference estimates, not verified invoices.
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+
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+ ## Sanitization
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+
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+ Public copies remove credential fields and recognizable credential strings, replace local path prefixes, and remove opaque encrypted reasoning values (including JSON embedded in strings). Duplicate SSE chunks and runtime/authentication directories are excluded. Visible tool decisions, artifacts and numeric outcomes are retained. Local originals are unchanged. The manifest contains original and published SHA256 values; selected JSONL records are hashed without their line terminator. These sanitized files are not a byte-identical full transport replay package.
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+
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+ ## Reproduce the reported aggregates
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+
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+ Download the dataset repository, then run `python verify_release.py`. It verifies every published file checksum, all archive member checksums, 588 task/condition records, token arithmetic, and the success/token/call aggregates directly from detailed episode records. This validates the stored results without new paid API calls. Re-running stochastic model inference is a separate procedure and need not reproduce the exact numbers. Selected implementation files and run configurations are included for inspection, not advertised as a complete standalone environment image.
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+
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+ No new license is asserted for upstream software or task sources by this data card; existing ownership and notices remain applicable.
SHA256SUMS ADDED
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+ "content": "{\"board\": \"BOARD 46 x 34 mm, layers: F.Cu, B.Cu (trace width 0.25 mm, clearance 0.2 mm)\\n\\nPARTS:\\n U1 (ic, 6.0x6.0 mm) at (23.00, 17.00) rot 0\\n pin L1: at (20.50, 15.00), net S1\\n pin R1: at (25.50, 15.00), net VDD1\\n pin L2: at (20.50, 16.00), net S2\\n pin R2: at (25.50, 16.00), net VDD2\\n pin L3: at (20.50, 17.00), net S3\\n pin R3: at (25.50, 17.00), net VDD3\\n pin L4: at (20.50, 18.00), net GND\\n pin R4: at (25.50, 18.00), net F1A\\n pin L5: at (20.50, 19.00), net -\\n pin R5: at (25.50, 19.00), net F2A\\n J1 (connector, 8.0x4.0 mm) UNPLACED\\n pin 1: offset (-2.00, +0.00), net S1\\n pin 2: offset (+0.00, +0.00), net S2\\n pin 3: offset (+2.00, +0.00), net S3\\n C1 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net VDD1\\n pin 2: offset (+0.50, +0.00), net GND\\n C2 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net VDD2\\n pin 2: offset (+0.50, +0.00), net GND\\n C3 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net VDD3\\n pin 2: offset (+0.50, +0.00), net GND\\n R1 (resistor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F1A\\n pin 2: offset (+0.50, +0.00), net F1B\\n C4 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F1B\\n pin 2: offset (+0.50, +0.00), net GND\\n R2 (resistor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F2A\\n pin 2: offset (+0.50, +0.00), net F2B\\n C5 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F2B\\n pin 2: offset (+0.50, +0.00), net GND\\n\\nNETS:\\n S1: [J1.1, U1.L1] UNROUTED\\n S2: [J1.2, U1.L2] UNROUTED\\n S3: [J1.3, U1.L3] UNROUTED\\n VDD1: [U1.R1, C1.1] UNROUTED\\n VDD2: [U1.R2, C2.1] UNROUTED\\n VDD3: [U1.R3, C3.1] UNROUTED\\n F1A: [U1.R4, R1.1] UNROUTED\\n F1B: [R1.2, C4.1] UNROUTED\\n F2A: [U1.R5, R2.1] UNROUTED\\n F2B: [R2.2, C5.1] UNROUTED\\n GND: [U1.L4, C1.2, C2.2, C3.2, C4.2, C5.2] UNROUTED\\n\\nDRC: 0 violations\\nUNROUTED NETS: ['F1A', 'F1B', 'F2A', 'F2B', 'GND', 'S1', 'S2', 'S3', 'VDD1', 'VDD2', 'VDD3']\", \"intent_checks\": \"INTENT CHECKS (0/6 pass):\\n [FAIL] edge\\n [FAIL] near_pin\\n [FAIL] near_pin\\n [FAIL] near_pin\\n [FAIL] cluster\\n [FAIL] cluster\", \"active_intent\": [], \"message\": \"Starting board; no intent submitted.\"}"
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+ "role": "system",
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+ "content": "You are an expert PCB layout agent on a small 2-layer board. The authoritative read view may contain coordinates; write only relational intent. Board units are mm, origin top-left, x right, y down. Trace width 0.25 mm; copper clearance 0.2 mm. Parts must not overlap or leave the board; routed copper must connect each net's pads.\nTASK: Combined task: place every movable part (8 parts) and route all 11 nets end to end. Intent: J1 body within 1.0 mm of the bottom board edge; C1 must have a pin within 3.0 mm of U1.R1; C2 must have a pin within 3.0 mm of U1.R2; C3 must have a pin within 3.0 mm of U1.R3; ['R1', 'C4'] within 5.0 mm of each other (center-to-center); ['R2', 'C5'] within 5.0 mm of each other (center-to-center). Success: DRC = 0, all nets routed, checks pass.\nCall exactly one tool per response. At most 5 model calls including invalid calls and finish. submit_intent replaces the WHOLE bundle and realizes it from the starting board. finish stops early; otherwise the board after the final turn is scored. Use null for optional fields you do not specify; tools do not infer new choices. Check the board, DRC, unrouted nets and coarse intent checks after each submission.\nalign axis x means same x, y means same y. symmetry axis x mirrors about a vertical line through axis_ref. place_relative between requires second_anchor. Distance/clearance/width/tolerance classes map to metric values in the unchanged solver. Keepouts/avoid refer to named objects. Joint submission routes all routable nets; diff_pair/route_matched are permitted only for task-declared matched groups. Only task-movable parts may move; geometry and hidden scoring are not tools."
1911
+ },
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+ {
1913
+ "role": "user",
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+ "content": "{\"board\": \"BOARD 46 x 34 mm, layers: F.Cu, B.Cu (trace width 0.25 mm, clearance 0.2 mm)\\n\\nPARTS:\\n U1 (ic, 6.0x6.0 mm) at (23.00, 17.00) rot 0\\n pin L1: at (20.50, 15.00), net S1\\n pin R1: at (25.50, 15.00), net VDD1\\n pin L2: at (20.50, 16.00), net S2\\n pin R2: at (25.50, 16.00), net VDD2\\n pin L3: at (20.50, 17.00), net S3\\n pin R3: at (25.50, 17.00), net VDD3\\n pin L4: at (20.50, 18.00), net GND\\n pin R4: at (25.50, 18.00), net F1A\\n pin L5: at (20.50, 19.00), net -\\n pin R5: at (25.50, 19.00), net F2A\\n J1 (connector, 8.0x4.0 mm) UNPLACED\\n pin 1: offset (-2.00, +0.00), net S1\\n pin 2: offset (+0.00, +0.00), net S2\\n pin 3: offset (+2.00, +0.00), net S3\\n C1 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net VDD1\\n pin 2: offset (+0.50, +0.00), net GND\\n C2 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net VDD2\\n pin 2: offset (+0.50, +0.00), net GND\\n C3 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net VDD3\\n pin 2: offset (+0.50, +0.00), net GND\\n R1 (resistor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F1A\\n pin 2: offset (+0.50, +0.00), net F1B\\n C4 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F1B\\n pin 2: offset (+0.50, +0.00), net GND\\n R2 (resistor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F2A\\n pin 2: offset (+0.50, +0.00), net F2B\\n C5 (capacitor, 2.0x1.2 mm) UNPLACED\\n pin 1: offset (-0.50, +0.00), net F2B\\n pin 2: offset (+0.50, +0.00), net GND\\n\\nNETS:\\n S1: [J1.1, U1.L1] UNROUTED\\n S2: [J1.2, U1.L2] UNROUTED\\n S3: [J1.3, U1.L3] UNROUTED\\n VDD1: [U1.R1, C1.1] UNROUTED\\n VDD2: [U1.R2, C2.1] UNROUTED\\n VDD3: [U1.R3, C3.1] UNROUTED\\n F1A: [U1.R4, R1.1] UNROUTED\\n F1B: [R1.2, C4.1] UNROUTED\\n F2A: [U1.R5, R2.1] UNROUTED\\n F2B: [R2.2, C5.1] UNROUTED\\n GND: [U1.L4, C1.2, C2.2, C3.2, C4.2, C5.2] UNROUTED\\n\\nDRC: 0 violations\\nUNROUTED NETS: ['F1A', 'F1B', 'F2A', 'F2B', 'GND', 'S1', 'S2', 'S3', 'VDD1', 'VDD2', 'VDD3']\", \"intent_checks\": \"INTENT CHECKS (0/6 pass):\\n [FAIL] edge\\n [FAIL] near_pin\\n [FAIL] near_pin\\n [FAIL] near_pin\\n [FAIL] cluster\\n [FAIL] cluster\", \"active_intent\": [], \"message\": \"Starting board; no intent submitted.\"}"
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+ "content": [],
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+ "encrypted_content": "[REMOVED_OPAQUE_REASONING]"
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+ "arguments": "{\"bundle\": {\"placement\": [{\"op\": \"place_relative\", \"id\": \"j1_below\", \"part\": \"J1\", \"anchor\": \"U1\", \"relation\": \"below\", \"second_anchor\": null, \"dist_class\": \"loose\"}, {\"op\": \"board_edge\", \"id\": \"j1_bottom\", \"part\": \"J1\", \"side\": \"bottom\"}, {\"op\": \"place_relative\", \"id\": \"c1_vdd1\", \"part\": \"C1\", \"anchor\": \"U1.R1\", \"relation\": \"near\", \"second_anchor\": null, \"dist_class\": \"tight\"}, {\"op\": \"place_relative\", \"id\": \"c2_vdd2\", \"part\": \"C2\", \"anchor\": \"U1.R2\", \"relation\": \"near\", \"second_anchor\": null, \"dist_class\": \"tight\"}, {\"op\": \"place_relative\", \"id\": \"c3_vdd3\", \"part\": \"C3\", \"anchor\": \"U1.R3\", \"relation\": \"near\", \"second_anchor\": null, \"dist_class\": \"tight\"}, {\"op\": \"place_relative\", \"id\": \"r1_f1\", \"part\": \"R1\", \"anchor\": \"U1.R4\", \"relation\": \"near\", \"second_anchor\": null, \"dist_class\": \"close\"}, {\"op\": \"place_relative\", \"id\": \"c4_f1\", \"part\": \"C4\", \"anchor\": \"R1\", \"relation\": \"near\", \"second_anchor\": null, \"dist_class\": \"close\"}, {\"op\": \"place_relative\", \"id\": \"r2_f2\", \"part\": \"R2\", \"anchor\": \"U1.R5\", \"relation\": \"near\", \"second_anchor\": null, \"dist_class\": \"close\"}, {\"op\": \"place_relative\", \"id\": \"c5_f2\", \"part\": \"C5\", \"anchor\": \"R2\", \"relation\": \"near\", \"second_anchor\": null, \"dist_class\": \"close\"}], \"routing\": [{\"op\": \"net_class\", \"id\": \"signals\", \"nets\": [\"S1\", \"S2\", \"S3\", \"VDD1\", \"VDD2\", \"VDD3\", \"F1A\", \"F1B\", \"F2A\", \"F2B\"], \"width_class\": \"signal\", \"clearance_class\": \"normal\"}, {\"op\": \"net_class\", \"id\": \"ground\", \"nets\": [\"GND\"], \"width_class\": \"power\", \"clearance_class\": \"normal\"}]}}",
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+ "call_id": "call_d6M8O7MZc15COoNnJm79LCT8",
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+ "name": "submit_intent",
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+ "id": "fc_04f4075d1f74db7e016ac00f8cf63487d1a9a74bad9dfd0d59",
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+ {
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+ "call_id": "call_d6M8O7MZc15COoNnJm79LCT8",
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2.0x1.2 mm) at (27.50, 17.00) rot 0\\n pin 1: at (27.00, 17.00), net VDD3\\n pin 2: at (28.00, 17.00), net GND\\n R1 (resistor, 2.0x1.2 mm) at (27.50, 14.00) rot 0\\n pin 1: at (27.00, 14.00), net F1A\\n pin 2: at (28.00, 14.00), net F1B\\n C4 (capacitor, 2.0x1.2 mm) at (28.50, 12.00) rot 0\\n pin 1: at (28.00, 12.00), net F1B\\n pin 2: at (29.00, 12.00), net GND\\n R2 (resistor, 2.0x1.2 mm) at (29.50, 19.00) rot 0\\n pin 1: at (29.00, 19.00), net F2A\\n pin 2: at (30.00, 19.00), net F2B\\n C5 (capacitor, 2.0x1.2 mm) at (30.00, 17.50) rot 0\\n pin 1: at (29.50, 17.50), net F2B\\n pin 2: at (30.50, 17.50), net GND\\n\\nNETS:\\n S1: [J1.1, U1.L1] routed, connected copper length 19.5 mm\\n S2: [J1.2, U1.L2] routed, connected copper length 16.5 mm\\n S3: [J1.3, U1.L3] routed, connected copper length 15.5 mm\\n VDD1: [U1.R1, C1.1] routed, connected copper length 3.0 mm\\n VDD2: [U1.R2, C2.1] routed, connected copper length 2.0 mm\\n VDD3: [U1.R3, C3.1] routed, connected copper length 1.5 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1111
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1113
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1116
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1117
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1118
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1119
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1120
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1121
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1122
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1123
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1124
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1126
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1127
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1128
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1129
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1130
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1131
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1132
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1135
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1136
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1140
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1142
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1143
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1144
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1148
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1149
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1150
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1151
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1153
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1154
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1155
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1156
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1157
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1158
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1159
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1160
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1162
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1163
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1164
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1165
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1166
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1167
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1168
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1169
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1170
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1171
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1172
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1173
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1174
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1175
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1176
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1177
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1178
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1179
+ "vendor/rap-method/pcb/experiments/04-embedded/toolchains.py": "4d4955ac1df84c5fe72b3fba5d928bc18cb78995a8a31d6ee0cd3e4428fa5f3b",
1180
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1181
+ "vendor/rap-method/pcb/experiments/99-common/__init__.py": "89406d8ed384c07899d002ab8cde5ab13af5479349e6d708412b873cc32973cf",
1182
+ "vendor/rap-method/pcb/experiments/99-common/jsonl_store.py": "34296d47e0853d6700c020f10a8bce7981ff45b5e833944a4173c25b7bb83486",
1183
+ "vendor/rap-method/pcb/experiments/99-common/pricing.py": "8e040ff1d4e66d9656bf4937ff9a4c7c280fefa967a1e8db189f25af8a79a146",
1184
+ "vendor/rap-method/pcb/experiments/99-common/protocol.py": "b2db435722c242681fdb47a58b2e56bfabd806e7974535d2d2a8774528a3f783",
1185
+ "vendor/rap-method/pcb/experiments/99-common/report_io.py": "7efbb87d0776705551a5c7c36a07c889d5b1568cf9a82bcaaa63d7578cbecbed",
1186
+ "vendor/rap-method/pcb/experiments/99-common/schema.py": "b7296eef3cfaf5ebf47c710c2a8e0247e13b2c66605fcd6e5b400964e182d7d1",
1187
+ "vendor/rap-method/pcb/experiments/99-common/stats.py": "43091524382cd0e10447d4616c92e2b1581d823f35a5eb97f30d885afd791c88",
1188
+ "vendor/rap-method/pcb/experiments/99-common/svg.py": "0ce7b79643b6852c443a5ea74174c73902dbaf5767eaa2fb1359ebb43d79c8c2"
1189
+ },
1190
+ "codex_binary": "$BACKUP/records/codex-runtime-0.157.1/codex",
1191
+ "codex_sha256": "3e2584f3f3829a43a0495011a1cecb2facbe64a2403e2b682351fd9c2983f970",
1192
+ "external_tools": {
1193
+ "kicad-cli": {
1194
+ "name": "kicad-cli",
1195
+ "path": null,
1196
+ "version": null,
1197
+ "note": "set KICAD_CLI or install KiCad 10"
1198
+ },
1199
+ "kicad-python": {
1200
+ "name": "kicad-python",
1201
+ "path": null,
1202
+ "version": null,
1203
+ "note": "set KICAD_PYTHON to an interpreter that imports pcbnew"
1204
+ },
1205
+ "kicad-drc": {
1206
+ "name": "kicad-drc",
1207
+ "path": null,
1208
+ "version": null,
1209
+ "note": "kicad-cli unusable: set KICAD_CLI or install KiCad 10"
1210
+ },
1211
+ "java": {
1212
+ "name": "java",
1213
+ "path": null,
1214
+ "version": null,
1215
+ "note": "install a JDK (Temurin 21) or set JAVA"
1216
+ },
1217
+ "freerouting": {
1218
+ "name": "freerouting",
1219
+ "path": null,
1220
+ "version": null,
1221
+ "note": "run `python -m ladder.kicad.fetch --freerouting` (downloads https://github.com/freerouting/freerouting/releases/download/v2.1.0/freerouting-2.1.0.jar) or set FREEROUTING_JAR"
1222
+ }
1223
+ },
1224
+ "not_in_this_run": {
1225
+ "sim_dev": 22,
1226
+ "pcbworld_external": 98,
1227
+ "realboard_external": 5
1228
+ },
1229
+ "development_evaluation": true,
1230
+ "pristine_heldout_claim": false,
1231
+ "limitations": [
1232
+ "Earlier C001/C002/C003 development probes are not a pristine holdout.",
1233
+ "Harbor uses a non-root chroot with host network, not Docker isolation.",
1234
+ "Only one seed; not the paper's multi-seed evaluation.",
1235
+ "Tool discovery and scratch work consume Harbor's same 5-call budget.",
1236
+ "MCP inlines the equivalent native V2 schema for Codex rendering.",
1237
+ "Latency includes Harbor environment setup; tokens are provider usage sums."
1238
+ ],
1239
+ "created_utc": "2026-10-02T20:09:01.562085+00:00"
1240
+ }
e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/C002/private/mcp-tools.json ADDED
@@ -0,0 +1,136 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "tools": [
3
+ {
4
+ "name": "place",
5
+ "description": "Apply one original R2 place action.",
6
+ "inputSchema": {
7
+ "type": "object",
8
+ "properties": {
9
+ "part": {
10
+ "type": "string"
11
+ },
12
+ "x": {
13
+ "type": "number"
14
+ },
15
+ "y": {
16
+ "type": "number"
17
+ },
18
+ "rot": {
19
+ "type": "integer",
20
+ "enum": [
21
+ 0,
22
+ 90,
23
+ 180,
24
+ 270
25
+ ]
26
+ }
27
+ },
28
+ "additionalProperties": false,
29
+ "required": [
30
+ "part",
31
+ "x",
32
+ "y",
33
+ "rot"
34
+ ]
35
+ }
36
+ },
37
+ {
38
+ "name": "draw",
39
+ "description": "Apply one original R2 draw action.",
40
+ "inputSchema": {
41
+ "type": "object",
42
+ "properties": {
43
+ "net": {
44
+ "type": "string"
45
+ },
46
+ "layer": {
47
+ "type": "string",
48
+ "enum": [
49
+ "F.Cu",
50
+ "B.Cu"
51
+ ]
52
+ },
53
+ "points": {
54
+ "type": "array",
55
+ "minItems": 2,
56
+ "maxItems": 30,
57
+ "items": {
58
+ "type": "array",
59
+ "items": {
60
+ "type": "number"
61
+ },
62
+ "minItems": 2,
63
+ "maxItems": 2
64
+ }
65
+ }
66
+ },
67
+ "additionalProperties": false,
68
+ "required": [
69
+ "net",
70
+ "layer",
71
+ "points"
72
+ ]
73
+ }
74
+ },
75
+ {
76
+ "name": "via",
77
+ "description": "Apply one original R2 via action.",
78
+ "inputSchema": {
79
+ "type": "object",
80
+ "properties": {
81
+ "net": {
82
+ "type": "string"
83
+ },
84
+ "x": {
85
+ "type": "number"
86
+ },
87
+ "y": {
88
+ "type": "number"
89
+ }
90
+ },
91
+ "additionalProperties": false,
92
+ "required": [
93
+ "net",
94
+ "x",
95
+ "y"
96
+ ]
97
+ }
98
+ },
99
+ {
100
+ "name": "unroute",
101
+ "description": "Apply one original R2 unroute action.",
102
+ "inputSchema": {
103
+ "type": "object",
104
+ "properties": {
105
+ "net": {
106
+ "type": "string"
107
+ }
108
+ },
109
+ "additionalProperties": false,
110
+ "required": [
111
+ "net"
112
+ ]
113
+ }
114
+ },
115
+ {
116
+ "name": "autoroute",
117
+ "description": "Apply one original R2 autoroute action.",
118
+ "inputSchema": {
119
+ "type": "object",
120
+ "properties": {},
121
+ "additionalProperties": false,
122
+ "required": []
123
+ }
124
+ },
125
+ {
126
+ "name": "finish",
127
+ "description": "Stop with the current board.",
128
+ "inputSchema": {
129
+ "type": "object",
130
+ "properties": {},
131
+ "additionalProperties": false,
132
+ "required": []
133
+ }
134
+ }
135
+ ]
136
+ }
e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/C002/private/run-settings.json ADDED
@@ -0,0 +1,13 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "harbor_version": "0.23.0",
3
+ "codex_version": "0.157.1",
4
+ "codex_sha256": "3e2584f3f3829a43a0495011a1cecb2facbe64a2403e2b682351fd9c2983f970",
5
+ "model": "openai/openai/gpt-5.6-luna",
6
+ "output_cap": 8192,
7
+ "model_call_cap": 5,
8
+ "reasoning_effort_override": "medium",
9
+ "temperature_override": null,
10
+ "mcp_schema_format": "native-v2-inline-refs-compact-nullable",
11
+ "environment": "non-root chroot; host network; no procfs/host mounts",
12
+ "endpoint": "E1 clean_pass; routability secondary not run"
13
+ }
e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/plan.json ADDED
The diff for this file is too large to render. See raw diff
 
e1-luna-six-way-20261003/evidence/e1-harbor-codex-r2-full-luna-20261003/summary.json ADDED
The diff for this file is too large to render. See raw diff
 
e1-luna-six-way-20261003/evidence/e1-native-v2-r2-control-smoke-luna-20261002/C002/episode.json ADDED
The diff for this file is too large to render. See raw diff
 
e1-luna-six-way-20261003/evidence/e1-native-v2-r2-control-smoke-luna-20261002/C002/run-config.json ADDED
@@ -0,0 +1,36 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "domain": "E1",
3
+ "task": "C002",
4
+ "schema": "v2",
5
+ "interface": "r2",
6
+ "model": "openai/openai/gpt-5.6-luna",
7
+ "seed": 1,
8
+ "max_output_tokens": 8192,
9
+ "reasoning_effort": "medium",
10
+ "temperature": "omitted/provider_default",
11
+ "source_sha256": {
12
+ "src/rap_harbor/__init__.py": "f68c3cd334fdc7f28adcf630d4621108ddbf58f6da1eabd3faf3a014c7d3f6b9",
13
+ "src/rap_harbor/batch.py": "342979039c23f1164321ffc919edb74aa38d5dba815d95f0192eefaabcf1946d",
14
+ "src/rap_harbor/bridge.py": "4219aded66624e747b56443821828828ffc70916afae3b97c8b0bc12355926c1",
15
+ "src/rap_harbor/e1.py": "0f8025b47474c890c4506804c1d91c15a9a2adcda17d6b7a25509f1ede6dc74a",
16
+ "src/rap_harbor/environment.py": "17c5026e637d9775cc9d60cf673ee42f41ff9d978ef529e1df652fc055df3376",
17
+ "src/rap_harbor/jail_exec.py": "2a576f2d860c262c77c6d1d2476c78e5fb746a5322c12b49bf87acde1ac057ab",
18
+ "src/rap_harbor/mcp_client.py": "fa824d6b7052f20b69e3eafad9186fee9e726396cfed8de81f0602bb8e34ed31",
19
+ "src/rap_harbor/run.py": "1e559a665422587a9243f9abccaea61cadb5519d4af7c56db4fc2ba6ff860c9f",
20
+ "src/rap_harbor/verifier.py": "aca4df46f86d415a1a7475aedec773b3ca6deea07f53551463403c31ec86c01c",
21
+ "src/rap_native_v2/__init__.py": "9733f886d4229cee61fdbc444dc5479f2299be13a4c48ea06b576643047901fd",
22
+ "src/rap_native_v2/cli.py": "7e91711a571a3466464bbed380a3e5542090831a0176c2bd53a4cfe1122ed164",
23
+ "src/rap_native_v2/domains/__init__.py": "001635edfc6b3ea41fe6347fd90cbe6771b8a63d96d9d92e710a65e842d7b43e",
24
+ "src/rap_native_v2/domains/common.py": "3b7f8c73ac09e4ec61ac5c345c1c8c98e0e6364cb2acaea1e4e8fc3badee61f0",
25
+ "src/rap_native_v2/domains/e1.py": "06709c4366728a949884d7e81ff69816289e8036be84c94a4e2ea5a95d9d4854",
26
+ "src/rap_native_v2/domains/e1_coordinate.py": "34f7faa3659b2c4c937281721eab92a7e2f805f9a90407e677f0a8d6c9f268f3",
27
+ "src/rap_native_v2/domains/e3.py": "af82236eae901427d658f26cea463ea5e075fe1f66fa7dcb95da3647f03a7234",
28
+ "src/rap_native_v2/domains/e4.py": "dbb6e52bf92ff6ea536d06ba09cfd86bbba074c49c3a3c3adf5c19054bc38026",
29
+ "src/rap_native_v2/domains/e5.py": "9c64913213ad0b1bc28fd9da9279a4e3beff56c0e4af764a2d6d6e02a1560f08",
30
+ "src/rap_native_v2/paths.py": "41038002825b29af14f264dd9b7bef4ff68b06044bb736b0e4d7d87f9abcb3b0",
31
+ "src/rap_native_v2/responses.py": "fd5cf46e8ebff2a951ac617dcf9d068ac308f52dfbc8c22e05c90d04f10eab8e",
32
+ "src/rap_native_v2/runtime.py": "31d7ad4090b9402b5fbb5c63ce001f5817e33e881c8c78e5585bb2f6bc4ccba5",
33
+ "src/rap_native_v2/schema.py": "5c04b8b0ddde134550014a6a72e02127c0d455fccb765f1f91c31011f9dcabc2",
34
+ "src/rap_native_v2/tools.py": "b645329fd873df3b09db55cacab2032cb830f6e22b7353780da9a0ca9c020eba"
35
+ }
36
+ }
e1-luna-six-way-20261003/implementation/integrations/harbor/README.md ADDED
@@ -0,0 +1,266 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Harbor 接入（2026-10-02，开发 smoke）
2
+
3
+ 此目录说明新工作副本中的 Harbor 集成。原始 2026-09-26/27 备份、vendor 方法代码、
4
+ 冻结题目和历史结果没有被修改；这不是恢复旧 Harbor 实验，也不与旧结果拼接。
5
+
6
+ ## 实际运行链
7
+
8
+ `Harbor 0.23.0 Job/Trial → 官方 Codex adapter → Codex CLI 0.157.1 → Luna 5.6`
9
+
10
+ Codex 保留自己的系统提示、会话、原生 shell/file 工具和 MCP 调用。
11
+ `RAP MCP → 原 native V2 ToolRegistry → 原 E1 后端 → public feedback`。
12
+ 最后由 Harbor 的自定义 **host-only verifier** 调用原 E1 独立检查器。
13
+ 并非给旧 RAP runtime 改名为 Codex/Harbor。
14
+
15
+ 当前两种 E1 工具条件：
16
+
17
+ - `--interface rap`：原 native V2 `submit_intent` / `finish`，完整关系束由原后端实现。
18
+ - `--interface r2`：坐标 `place/draw/via/unroute/finish`，placement 题才有原 `autoroute`。
19
+ 调用原 RawRung，不新增解题能力。Codex 自身仍有 shell/Python 等计算能力，
20
+ 所以是 **coding agent + R2 write interface**，不是历史上禁用计算工具的裸 R2。
21
+
22
+ E3/E4/E5 尚未接入 Harbor，已有 native V2 的开发状态不因安装 Harbor 自动升级。
23
+
24
+ ## 安装和运行
25
+
26
+ 需 Python 3.12；当前独立环境是 `runtime/harbor-py312`。当前 chroot runner 还需要 root /
27
+ `CAP_SYS_CHROOT`，普通用户会被拒绝；尚未提供 Docker runner。以下命令在项目根目录运行：
28
+
29
+ ```bash
30
+ uv venv --python /usr/bin/python3 runtime/harbor-py312
31
+ env -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY -u http_proxy -u https_proxy -u all_proxy uv pip install --python runtime/harbor-py312/bin/python -e '.[harbor]' pytest
32
+ ```
33
+
34
+ 不要用以上创建命令覆盖已有环境。本机环境已经安装，无需重建。
35
+
36
+ 离线负对照，无 API 费用：
37
+
38
+ ```bash
39
+ PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python -m rap_harbor.run \
40
+ --agent nop --interface rap --task C001 \
41
+ --codex-binary $BACKUP/records/codex-runtime-0.157.1/codex \
42
+ --output outputs/harbor-nop-new
43
+ ```
44
+
45
+ 真实 Luna 运行（输出目录必须不存在，key 用不回显提示输入，不存入源码）：
46
+
47
+ ```bash
48
+ env -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY -u http_proxy -u https_proxy -u all_proxy PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python -m rap_harbor.run \
49
+ --api --prompt-key --interface rap --task C001 \
50
+ --codex-binary $BACKUP/records/codex-runtime-0.157.1/codex \
51
+ --output outputs/harbor-luna-rap-new
52
+ ```
53
+
54
+ 坐标组只改为 `--interface r2` 并使用另一个输出目录。也可设置 `NVIDIA_API_KEY` 并去掉
55
+ `--prompt-key`。默认最多 5 次上游模型调用、每次输出 cap 8192，无自动重试或模型 fallback。
56
+ Gateway 路由固定 `openai/openai/gpt-5.6-luna`。Harbor adapter 会删去 `--model` 的路径前缀，
57
+ 本地转发器将其映射回这一个准确路由，原 CLI 请求和上游实际请求分别保存。
58
+ 单题命令默认不显式设置 reasoning effort / temperature；应以请求中的实际字段为准，
59
+ 不假定默认 medium。可用 `--reasoning-effort medium` 显式固定；全量配对命令已固定该值。
60
+
61
+ ## 全量 E1 配对运行
62
+
63
+ `rap_harbor.batch` 固定使用原 manifest 的 98 道模拟板 test 题（42 routing、31 placement、
64
+ 17 combined、8 repair），不是 manifest 中全部 223 题，也不含另外 98 道 PCBWorld 外部题。
65
+ 后者需要 KiCad 10、pcbnew、Java 21+ 和固定 SHA256 的 Freerouting 2.1.0；当前机器缺失这些工具。
66
+ 不将缺少工具的外部题换成模拟 checker 评分。
67
+
68
+ 两组是 standalone native V2 + RAP 和 Harbor 官方 Codex + RAP；Luna / seed 1 / medium /
69
+ 最多 5 次上游调用 / 每次输出 cap 8192，temperature 保持默认。每个 cell 独立进程，默认
70
+ 4 路并行，不自动重试失败或基础设施错误；连续 3 个未知结果暂停新增任务。成功和失败均保留。
71
+
72
+ ```bash
73
+ # 不加 --api：只进行零费用预检并写入冻结计划，输出目录须不存在。
74
+ PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python -m rap_harbor.batch \
75
+ --output outputs/e1-full-new --workers 4 \
76
+ --codex-binary $BACKUP/records/codex-runtime-0.157.1/codex \
77
+ --reuse outputs/harbor-agent-rap-luna-mcp-compat-20261002
78
+
79
+ # 启动上述计划；key 只进入进程，不写入文件。--detach 让队列在后台持续执行。
80
+ env -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY -u http_proxy -u https_proxy -u all_proxy PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python -m rap_harbor.batch \
81
+ --output outputs/e1-full-new --workers 4 --resume --api --prompt-key --detach \
82
+ --codex-binary $BACKUP/records/codex-runtime-0.157.1/codex
83
+ ```
84
+
85
+ `--reuse` 只复用最终兼容版本的 C002/C003，校验 task、seed、代码、模型、实际 effort、
86
+ output cap 和 schema；不是挑成功题。去掉它则两个组均从头运行。旧 native 的 cap 1200
87
+ 记录不能作为本次 cap 8192 的配对结果，因此全部新跑。`--resume` 检查代码和配置哈希，
88
+ 且不会覆盖��重新调用任何已尝试的 cell，包括未知/失败；用文件锁防止重叠启动。
89
+
90
+ 当前运行目录：`outputs/e1-full-native-v2-vs-harbor-rap-luna-20261002`。
91
+ `report.html`、`progress.json` 随队列自动更新；`plan.json` 固定范围和源代码哈希；
92
+ 各 arm/task 子目录保留请求、响应、usage、参考费用、artifact、独立评分及 Harbor 原始轨迹。
93
+ 保留原始文件中的历史失败，不与旧版本合并。费用来自网关，未核验账单；tokens 为逐次
94
+ input + output，cache/reasoning 不重复相加。两组的完成数量不同，不应拿中途不配对的成功率
95
+ 下结论，报告另列共同完成题目的配对小计。
96
+
97
+ 这仍是单 seed、开发环境的全任务运行；曾经用于调试的题不是 pristine held-out test。
98
+ 不能把本次结果称为论文多 seed 矩阵或 Docker 等价的完整 Codex 部署。
99
+
100
+ ## Native V2 的无关系工具控制组
101
+
102
+ `rap_native_v2.cli --interface r2` 在同一个 native runtime 中换用原 R2 坐标工具，
103
+ 不运行 Harbor/Codex，不提供 shell/Python；placement 任务保留原来的 autoroute。
104
+ `--interface rap` 是未改变的默认值。共享原任务、read view、seed、独立 checker 和计量。
105
+ 工具对应说明会随接口变化；R2 一次一个几何动作，RAP 一次整束意图，不能称为动作粒度匹配实验。
106
+
107
+ ```bash
108
+ env -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY -u http_proxy -u https_proxy -u all_proxy PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python scripts/run_e1_native_r2_control.py \
109
+ --output outputs/e1-native-r2-control-new \
110
+ --reference outputs/e1-full-native-v2-vs-harbor-rap-luna-20261002 --api --prompt-key
111
+ ```
112
+
113
+ 脚本固定取四个模拟套件各前两道 test 题，只新跑 8 个 R2 episode；旧 RAP 同题结果校验后复用。
114
+ 本次报告：`outputs/e1-native-v2-r2-control-smoke-luna-20261002/report.html`。
115
+ R2 5/8、134,103 tokens；RAP 8/8、58,415 tokens。新增网关参考费用 $0.01574372014。
116
+ R2 失败 C001/C002/R002：前两题存在逐件放置预算瓶颈，R002 有未连通和 DRC 错误。
117
+ 这是 8 题开发对照，不外推为 98 题全量成功率；未来可单列批量坐标控制来检查动作粒度因素。
118
+
119
+ 全量补跑使用 `--full --reuse-r2`，复用上述全部 8 题（包括失败），只新增 90 个 episode。
120
+ 任务、原子动作工具、prompt、native 循环和 API 参数不变。先不加 `--api` 写入零费用预检计划，
121
+ 再加 `--resume --api --prompt-key --detach` 启动同一计划。后台 4 路并行，遇到基础设施错误
122
+ 停止追加任务；不按成功率重试，已有输出或尝试日志不会被覆盖或重复调用。
123
+
124
+ ```bash
125
+ PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python scripts/run_e1_native_r2_control.py \
126
+ --full --reuse-r2 outputs/e1-native-v2-r2-control-smoke-luna-20261002 \
127
+ --reference outputs/e1-full-native-v2-vs-harbor-rap-luna-20261002 \
128
+ --output outputs/e1-native-r2-full-new
129
+
130
+ env -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY -u http_proxy -u https_proxy -u all_proxy PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python scripts/run_e1_native_r2_control.py \
131
+ --full --resume --api --prompt-key --detach \
132
+ --reference outputs/e1-full-native-v2-vs-harbor-rap-luna-20261002 \
133
+ --output outputs/e1-native-r2-full-new
134
+ ```
135
+
136
+ 本次全量目录：`outputs/e1-native-v2-r2-control-full-luna-20261002`。
137
+ `summary.json` / `report.html` 自动更新，并只对同题闭合结果计算配对指标；新费用与复用费用分列。
138
+ 这仍是 98 道模拟板、单 seed 的原子 R2 控制，不含 PCBWorld 外部题，也不是新增的批量坐标接口。
139
+
140
+ ## 当前机器的隔离边界（Harbor）
141
+
142
+ 本机没有 Docker socket，namespace 创建被系统禁止。使用 Harbor 官方扩展接口接入
143
+ `RapChrootEnvironment`：root 建立新文件系统后，所有命令降权到 UID/GID 65534，清空补充组，
144
+ 设置 `no_new_privs`，不挂载宿主文件、原备份、历史答案、评分器或 procfs。
145
+ 仅提供系统可执行文件、Python 标准库、Codex 和 public task/MCP relay。
146
+ `/proc/self/exe` 是指向 jail 内 Codex 的静态兼容链接，不是宿主 procfs。
147
+ Host-only verifier 和 RAP 实现只在父进程中运行；无 HTTP grading 路由。
148
+ 最终评分关闭 session，再运行原 checker；agent 不能通过修改本地 JSON 或 reward 文件过题。
149
+
150
+ 这不是 Docker 等价实现：共享 host network，没有独立 PID/network namespace 或 CPU/memory
151
+ 配额，不能作为敌对代码的完整安全沙箱。仅用于当前用户授权的开发 smoke，不宣称已具备正式
152
+ 全量多租户部署条件。转移到有容器支持的机器后还应补标准容器运行与相同工具预算验证。
153
+
154
+ ## 记录和比较口径
155
+
156
+ - `jobs/...`：真实 Harbor config/lock/result、Codex stdout、原生 session、转换后的 ATIF。
157
+ - `private/call-*.codex-request.json` / `*.upstream-request.json`：两端实际请求。
158
+ - `private/call-*.response.json` / `*.events.json` / `*.receipt.json`：返回、流事件和 usage。
159
+ - `private/tool-*.json`：公开反馈及只对研究者开放的产物；不回传 private 字段给模型。
160
+ - `private/artifact.json` / `grade.json` / `binding.json`：最后板图、原评分和任务 fingerprint。
161
+ - `summary.json`：总 tokens、网关参考费用、Harbor error 与独立 artifact verdict 分开报告。
162
+
163
+ Tokens 累加每次上游 `input_tokens + output_tokens`；缓存 input、reasoning output 已含在各自
164
+ 总项中，不重复加。Codex 的 system prompt、MCP schema、shell 输出和累积历史都计入模型输入。
165
+ 缺失 usage/费用必须标 incomplete，不能称为免费。参考费用优先用 `x-litellm-response-cost`，
166
+ 流接口缺少该 header 时使用网关在 `response.usage.cost` 中返回的美元值，并记录来源。
167
+ Harbor 自带 `cost_usd` 是另一套估算（本次和网关值不同），不把两者相加，也不冒充账单核验。
168
+ 真实 API key 只存在父进程内存；agent 只获得临时本地 bridge token。
169
+
170
+ 初期环境错误不算模型失败。达到预先设定调用上限的完整尝试则应保留最后产物并标明 budget
171
+ termination，不能因为不通过而删掉。单道 C001 smoke 只证明集成工作，不证明优于其他 harness。
172
+ 当前输出 cap 8192 与 native V2 默认 1200 不一致，不能直接声称 token 或成功率公平优劣。
173
+
174
+ ## 首次计量完整的真实 smoke
175
+
176
+ ### 后续 MCP schema 兼容修复（2026-10-02）
177
+
178
+ C002/C003 的模型请求显示，Codex 0.157.1 的代码模式把 native V2 schema 的 `$ref`
179
+ 参数渲染成 `unknown`，例如距离档位的 `tight | close | loose` 没有展示给模型。
180
+ 仅展开引用还不够：嵌套 `anyOf[scalar, null]` 会导致整个数组元素成为 `unknown`。
181
+ 现在只在 MCP `tools/list` 的 `inputSchema` 中展开本地引用，并把上述 nullable 标量
182
+ 改写为等价的 `type: [T, "null"]`（enum 同时保留 null）。字段、合法值集合、required、
183
+ additionalProperties 和其他校验约束不变。不切换 native schema 版本，
184
+ 服务端仍由原 V2 `ToolRegistry` 校验及执行，不猜测或修正模型参数。
185
+
186
+ 新运行在 `private/mcp-tools.json` 保存实际发布的 schema，`run-settings.json` 标记
187
+ `mcp_schema_format=native-v2-inline-refs-compact-nullable`。任务、提示词、5 次调用预算、模型、
188
+ 8192 输出 cap、求解器、独立评分器均未调整。回归测试为 55 passed，包含无 API 的
189
+ E1/E3/E4/E5 原实现等价测试，记录在 `validation/harbor-mcp-compat-final-tests-20261002.xml`。
190
+ 真实 Codex CLI + Harbor 的零 API 渲染检查确认 `unknown` 从 33 处变为 0，距离枚举可见。
191
+ 可用 `scripts/check_harbor_schema_rendering.py --codex-binary <path> --output <new-dir>`
192
+ 复现；该脚本用本地脚本化响应代替模型服务，输出明确标记 offline，不纳入实验成功率或 API 费用。
193
+ 原先 C002/C003 的失败轨迹保留于 `outputs/harbor-agent-rap-luna-pilot2-20261002`；
194
+ 第一版仅展开引用的失败尝试在 `outputs/harbor-agent-rap-luna-inline-schema-20261002`，
195
+ 最终兼容修复后各一次同题复测在 `outputs/harbor-agent-rap-luna-mcp-compat-20261002`。
196
+ 不按复测结果筛选或替换历史结果；前两个 cohort 不能冒充最终版的结果。
197
+
198
+ 最终版 C002/C003 均 clean-pass（2/2），8 个领域调用无参数校验错误。10 次 API 共
199
+ 149,730 tokens、网关参考 $0.01402893466；tokens 比修复前两题增加 26.49%，不声称更省。
200
+ 含中间失败版本，本次修复总费用约 $0.02543823。仅是两题开发验证，尚不能推广到全量。
201
+ [修复前后 HTML 报告及全部尝试索引](../../outputs/harbor-agent-rap-luna-mcp-compat-20261002/report.html)。
202
+
203
+ 以下表格仍是修复前的 C001 记录，不代表修复后的成功率。
204
+
205
+ 两组均为 C001 / seed 1 / 5 次 API / 输出 cap 8192。同一独立 clean-pass checker。
206
+ 没有显式 effort 配置，但这次实际 Codex 请求包含 `reasoning.effort=medium`；与旧 native
207
+ “不传 effort”的请求不是同一个已证实设置，不能直接合并比较。
208
+
209
+ | 工具条件 | Clean pass | 输入 tokens | 输出 tokens | 总 tokens | 网关参考 USD |
210
+ |---|---:|---:|---:|---:|---:|
211
+ | Codex + R2 | 否 | 70,549 | 1,965 | 72,514 | 0.00566536432 |
212
+ | Codex + RAP | 否 | 55,062 | 2,603 | 57,665 | 0.00520971914 |
213
+
214
+ RAP 产物全连通、0 DRC violation、3/4 intent checks 通过；C2 距离检查未过（3.50 > 3.00 mm）。
215
+ R2 只完成部分放置，尚未布线。两者触达本地冻结模型调用上限；Harbor 原始错误类型为
216
+ `ApiRateLimitError`，但这是本地转发器的 **budget termination**，不是上游 API 限流。
217
+ 这两条均保留为尝试，不从失败分母中排除。单题没有统计意义，不据此宣称 harness 优劣。
218
+
219
+ 结果分别在 `outputs/harbor-codex-luna-{r2,rap}-c001-metered-20261002/`。
220
+ 之前的启动错误和第一条 usage 不完整的 RAP 调试轨迹也保留在各自独立目录。
221
+ 汇总：[HTML 报告和 raw data 索引](../../outputs/harbor-integration-final-report-20261002/report.html)。
222
+ 包括调试在内共 15 次上游 API 调用；其中早期 4 次流结束时漏记 usage/费用，保留 incomplete。
223
+ 只对两条计量闭合的 smoke，网关参考合计为 $0.01087508346；不把它称为全部调试花费。
224
+ 回归验证：`validation/harbor-integration-final-tests-20261002.xml`，46 passed。
225
+
226
+ 参考：[Harbor agents](https://docs.harborframework.com/core-concepts/agents/pre-integrated-agents)、
227
+ [Harbor task format](https://docs.harborframework.com/core-concepts/tasks/overview)、
228
+ [OpenAI Codex custom providers](https://learn.chatgpt.com/docs/config-file/config-advanced)。
229
+
230
+ ## 补齐 Harbor Codex + R2 全量对照（2026-10-03）
231
+
232
+ `scripts/run_e1_harbor_r2_control.py` 只补同一冻结 manifest 的 98 道模拟板 test。
233
+ Luna / medium / seed 1 / 5 次模型调用 / 输出 cap 8192；4 个 episode 并发，无自动重试。
234
+ 原任务、R2 执行器、native runtime、Harbor 单题运行器和评分器均未修改。
235
+ 另外三组（Native V2 + R2、Native V2 + RAP、Harbor Codex + RAP）全部复用。
236
+
237
+ 旧 Harbor R2 C001 失败被保留，不按成功筛选：预检比较原提示和公开观察、实际请求配置、
238
+ Codex 二进制 hash，并用真实 Harbor/Codex 的零 API fixture 比较 MCP 渲染声明，再离线重放
239
+ 所有动作，核对公开反馈、最终 artifact 和原 grader。R2 schema 不含本次兼容修复影响的结构，
240
+ 内联转换在该 schema 上是恒等变换。故仅新增 97 次 episode；离线 fixture 明确排除于指标外。
241
+
242
+ ```bash
243
+ env -u HTTP_PROXY -u HTTPS_PROXY -u ALL_PROXY -u http_proxy -u https_proxy -u all_proxy \
244
+ PYTHONDONTWRITEBYTECODE=1 runtime/harbor-py312/bin/python -B scripts/run_e1_harbor_r2_control.py \
245
+ --output outputs/e1-harbor-codex-r2-full-luna-20261003 \
246
+ --codex-binary $BACKUP/records/codex-runtime-0.157.1/codex \
247
+ --rap-reference outputs/e1-full-native-v2-vs-harbor-rap-luna-20261002 \
248
+ --native-r2-reference outputs/e1-native-v2-r2-control-full-luna-20261002 \
249
+ --reuse outputs/harbor-codex-luna-r2-c001-metered-20261002
250
+ ```
251
+
252
+ 首次命令仅生成冻结计划并进行零 API 预检；启动时在相同命令后加
253
+ `--resume --api --prompt-key --detach`。已有输出和日志永不覆盖、不自动重抽失败或未闭合尝试；
254
+ 文件锁防止重复启动付费任务，基础设施未知会暂停后续派发。API key 通过不回显输入读取，不落盘。
255
+ 恢复时检查任务、代码、Codex 和引用结果 hashes。四组 HTML 按共同有效题目配对，避免用未完成
256
+ 子集和完整 98 题直接比较。参考费用区分复用和新增；不冒充已对账账单。
257
+
258
+ 冻结清单共 **223** 题：模拟 test 98 + 模拟 dev 22 + PCBWorld 98 + 其他 realboard 5。
259
+ 论文所述 196 是模拟 test 98 + PCBWorld 98，不等于此次仅模拟 test 98 的四组对照。
260
+ PCBWorld 上游 D3-A 的 98 题在本地 manifest 被另标为 93 test / 5 dev，外部汇总必须注明口径。
261
+ 当前环境缺 KiCad 10 / pcbnew、Java 21、Freerouting 2.1.0，外部真实板不能用模拟 grader 代替。
262
+
263
+ R2 的每轮单几何动作与 RAP 整个关系 bundle 的动作粒度不同；Harbor 还拥有 native V2 没有的
264
+ shell/file scratch 工具。报告保留这些限制，不将结果解释为严格工具能力相同的纯 harness 因果实验。
265
+ 回归：`validation/e1-harbor-r2-full-tests-20261003.xml`，83 passed。
266
+ [实时四组 HTML 与 raw data 索引](../../outputs/e1-harbor-codex-r2-full-luna-20261003/report.html)。
e1-luna-six-way-20261003/implementation/src/rap_harbor/bridge.py ADDED
@@ -0,0 +1,245 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Private RAP session + MCP endpoint + metered Responses forwarding.
2
+
3
+ Only public observations/tool results are exposed over HTTP. The grader has no
4
+ HTTP route. The real API key stays here; Codex receives an ephemeral local token.
5
+ """
6
+ from dataclasses import asdict
7
+ from http.server import BaseHTTPRequestHandler, ThreadingHTTPServer
8
+ import json
9
+ import math
10
+ from pathlib import Path
11
+ import secrets
12
+ import threading
13
+ import time
14
+
15
+ import httpx
16
+
17
+ from rap_native_v2.responses import ENDPOINT, MODEL, redact
18
+ from rap_native_v2.tools import ToolInputError, ToolRegistry
19
+
20
+
21
+ ACTIVE = {}
22
+
23
+
24
+ def inline_mcp_schema(schema):
25
+ """Expand refs and compact scalar null unions for Codex's MCP renderer.
26
+
27
+ Presentation only: execution still uses the unchanged V2 registry schema.
28
+ """
29
+ def visit(node, active=()):
30
+ if isinstance(node, list):
31
+ return [visit(item, active) for item in node]
32
+ if not isinstance(node, dict):
33
+ return node
34
+ if "$ref" in node:
35
+ ref = node["$ref"]
36
+ if set(node) != {"$ref"} or not ref.startswith("#/$defs/"):
37
+ raise ValueError("MCP presentation requires standalone local $defs references")
38
+ if ref in active:
39
+ raise ValueError("recursive MCP schema cannot be inlined")
40
+ return visit(schema["$defs"][ref[len("#/$defs/"):]], (*active, ref))
41
+ out = {key: visit(value, active) for key, value in node.items() if key != "$defs"}
42
+ branches = out.get("anyOf", [])
43
+ # Expanded anyOf[scalar, null] inside an operation union causes Codex
44
+ # 0.157.1 to render the whole array item as unknown. Equivalent nullable
45
+ # scalar types preserve its field/enum declarations and validation set.
46
+ if (set(out) == {"anyOf"} and len(branches) == 2 and branches[1] == {"type": "null"}
47
+ and branches[0].get("type") in ("string", "integer", "number", "boolean")):
48
+ out = {**branches[0], "type": [branches[0]["type"], "null"]}
49
+ if "enum" in out and None not in out["enum"]:
50
+ out["enum"] = [*out["enum"], None]
51
+ return out
52
+
53
+ return visit(schema)
54
+
55
+
56
+ class Bridge:
57
+ def __init__(self, session, output, api_key=None, max_calls=5, output_cap=8192):
58
+ self.session = session
59
+ self.registry = ToolRegistry(session.tools(), "v2")
60
+ self.output = Path(output)
61
+ self.output.mkdir(parents=True, exist_ok=False)
62
+ self.api_key, self.token = api_key, secrets.token_urlsafe(32)
63
+ self.max_calls, self.output_cap = max_calls, output_cap
64
+ self.calls = 0
65
+ self.budget_rejections = 0
66
+ self.closed = False
67
+ self.lock = threading.RLock()
68
+ self.receipts, self.events = [], []
69
+ self.server = ThreadingHTTPServer(("127.0.0.1", 0), self.handler())
70
+ self.url = f"http://127.0.0.1:{self.server.server_port}"
71
+ ACTIVE[self.url] = self
72
+ self.thread = threading.Thread(target=self.server.serve_forever, daemon=True)
73
+ self.thread.start()
74
+
75
+ def save(self, filename, data):
76
+ text = json.dumps(redact(data), ensure_ascii=False, indent=2, allow_nan=False)
77
+ for secret in (self.api_key, self.token):
78
+ if secret:
79
+ text = text.replace(secret, "[REDACTED]")
80
+ with (self.output / filename).open("x") as stream:
81
+ stream.write(text + "\n")
82
+
83
+ def rpc(self, request):
84
+ method, params = request.get("method"), request.get("params", {})
85
+ response = {"jsonrpc": "2.0", "id": request.get("id")}
86
+ if method == "initialize":
87
+ result = {"protocolVersion": params.get("protocolVersion", "2024-11-05"),
88
+ "capabilities": {"tools": {"listChanged": False}},
89
+ "serverInfo": {"name": "rap-native-v2-e1", "version": "0.1.0"}}
90
+ elif method in ("notifications/initialized", "ping"):
91
+ result = {}
92
+ elif method == "tools/list":
93
+ result = {"tools": [{"name": tool["name"], "description": tool["description"],
94
+ "inputSchema": inline_mcp_schema(tool["parameters"])}
95
+ for tool in self.registry.schemas]}
96
+ elif method == "tools/call":
97
+ with self.lock:
98
+ name, arguments = params.get("name"), params.get("arguments", {})
99
+ private = {}
100
+ try:
101
+ if self.closed or self.session.done:
102
+ raise ToolInputError("episode is closed")
103
+ if self.calls < 1:
104
+ raise ToolInputError("domain actions require a model response first")
105
+ if self.session.turn < self.calls:
106
+ self.session.begin_turn(self.calls)
107
+ if self.session.action_used:
108
+ raise ToolInputError("only one domain action per model response")
109
+ # Invalid JSON/schema/tool name also consumes this response's action.
110
+ try:
111
+ value = self.registry.execute(name, json.dumps(arguments, allow_nan=False))
112
+ finally:
113
+ self.session.action_used = True
114
+ public, private, is_error = value.public, value.private, False
115
+ except ToolInputError as exc:
116
+ public, is_error = {"accepted": False, "error": str(exc)}, True
117
+ self.events.append({"model_call": self.calls, "name": name, "arguments": arguments,
118
+ "public": public, "private": private, "is_error": is_error})
119
+ self.save(f"tool-{len(self.events):03d}.json", self.events[-1])
120
+ result = {"content": [{"type": "text", "text": json.dumps(public)}], "isError": is_error}
121
+ else:
122
+ return {**response, "error": {"code": -32601, "message": "method not available"}}
123
+ return {**response, "result": result}
124
+
125
+ def handler(self):
126
+ bridge = self
127
+
128
+ class Handler(BaseHTTPRequestHandler):
129
+ def log_message(self, *_):
130
+ pass
131
+
132
+ def reply(self, status, value):
133
+ body = json.dumps(value).encode()
134
+ self.send_response(status)
135
+ self.send_header("Content-Type", "application/json")
136
+ self.send_header("Content-Length", str(len(body)))
137
+ self.end_headers()
138
+ self.wfile.write(body)
139
+
140
+ def do_POST(self):
141
+ if not secrets.compare_digest(self.headers.get("Authorization", ""), "Bearer " + bridge.token):
142
+ return self.reply(401, {"error": "unauthorized"})
143
+ size = int(self.headers.get("Content-Length", "0"))
144
+ if size < 1 or size > 8_000_000:
145
+ return self.reply(400, {"error": "invalid request size"})
146
+ try:
147
+ body = json.loads(self.rfile.read(size))
148
+ except ValueError:
149
+ return self.reply(400, {"error": "invalid JSON"})
150
+ if self.path == "/rpc":
151
+ return self.reply(200, bridge.rpc(body))
152
+ if self.path != "/v1/responses":
153
+ return self.reply(404, {"error": "route not available"})
154
+ with bridge.lock:
155
+ if bridge.closed or bridge.calls >= bridge.max_calls:
156
+ if bridge.calls >= bridge.max_calls:
157
+ bridge.budget_rejections += 1
158
+ return self.reply(429, {"error": {"message": "frozen episode model-call budget exhausted"}})
159
+ if not bridge.api_key:
160
+ return self.reply(503, {"error": "no upstream credential supplied"})
161
+ if body.get("model") not in (MODEL, MODEL.split("/")[-1]):
162
+ return self.reply(400, {"error": "model differs from the pinned Luna route"})
163
+ bridge.calls += 1
164
+ index = bridge.calls
165
+ if not bridge.session.done:
166
+ bridge.session.begin_turn(index)
167
+ bridge.save(f"call-{index:03d}.codex-request.json", body)
168
+ # Harbor's official adapter strips the provider prefix from --model.
169
+ # Restore the exact user route at the gateway, without model fallback.
170
+ body = {**body, "model": MODEL, "max_output_tokens": bridge.output_cap, "store": False}
171
+ bridge.save(f"call-{index:03d}.upstream-request.json", body)
172
+ receipt = {"call": index, "reference_usd": None, "usage": None,
173
+ "invoice_verified": False, "requested_model": MODEL,
174
+ "automatic_retries": 0}
175
+ start = time.monotonic()
176
+ response_data = None
177
+ events = []
178
+ try:
179
+ with httpx.Client(timeout=300, trust_env=False, follow_redirects=False) as client:
180
+ with client.stream("POST", ENDPOINT, json=body,
181
+ headers={"Authorization": "Bearer " + bridge.api_key}) as upstream:
182
+ receipt["http_status"] = upstream.status_code
183
+ cost = upstream.headers.get("x-litellm-response-cost")
184
+ if cost is not None:
185
+ number = float(cost)
186
+ if math.isfinite(number) and number >= 0:
187
+ receipt["reference_usd"] = number
188
+ receipt["cost_source"] = "x-litellm-response-cost"
189
+ if "text/event-stream" in upstream.headers.get("content-type", ""):
190
+ self.send_response(upstream.status_code)
191
+ self.send_header("Content-Type", "text/event-stream")
192
+ self.end_headers()
193
+ client_closed = False
194
+ for line in upstream.iter_lines():
195
+ if line.startswith("data: ") and line != "data: [DONE]":
196
+ item = json.loads(line[6:])
197
+ events.append(item)
198
+ if item.get("type") in ("response.completed", "response.incomplete", "response.failed"):
199
+ response_data = item.get("response")
200
+ # Codex can close as soon as response.completed arrives.
201
+ # Keep draining the billed upstream stream for accounting.
202
+ if not client_closed:
203
+ try:
204
+ self.wfile.write((line + "\n").encode())
205
+ self.wfile.flush()
206
+ except (BrokenPipeError, ConnectionResetError):
207
+ client_closed = True
208
+ receipt["client_disconnected"] = True
209
+ else:
210
+ response_data = json.loads(upstream.read())
211
+ self.reply(upstream.status_code, response_data)
212
+ except Exception as exc:
213
+ receipt["error_type"] = type(exc).__name__
214
+ finally:
215
+ if response_data:
216
+ receipt.update(usage=response_data.get("usage"), returned_model=response_data.get("model"),
217
+ response_status=response_data.get("status"))
218
+ if receipt["reference_usd"] is None:
219
+ cost = (response_data.get("usage") or {}).get("cost")
220
+ if isinstance(cost, (int, float)) and not isinstance(cost, bool) and math.isfinite(cost) and cost >= 0:
221
+ receipt.update(reference_usd=cost, cost_source="response.usage.cost (gateway)")
222
+ bridge.save(f"call-{index:03d}.response.json", response_data or {"events": events})
223
+ if events:
224
+ bridge.save(f"call-{index:03d}.events.json", events)
225
+ receipt["wall_s"] = time.monotonic() - start
226
+ bridge.receipts.append(receipt)
227
+ bridge.save(f"call-{index:03d}.receipt.json", receipt)
228
+
229
+ return Handler
230
+
231
+ def close_episode(self):
232
+ with self.lock:
233
+ self.closed = True
234
+ grade = self.session.grade()
235
+ self.save("grade.json", grade)
236
+ self.save("artifact.json", asdict(self.session.ctx.state))
237
+ self.save("binding.json", self.session.binding())
238
+ return grade
239
+
240
+ def shutdown(self):
241
+ self.closed = True
242
+ self.server.shutdown()
243
+ self.server.server_close()
244
+ self.thread.join(timeout=5)
245
+ ACTIVE.pop(self.url, None)
e1-luna-six-way-20261003/implementation/src/rap_harbor/e1.py ADDED
@@ -0,0 +1,59 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Coordinate interface over the same frozen E1 task, state and grader as RAP."""
2
+ from dataclasses import asdict
3
+
4
+ from rap_native_v2.domains.e1 import E1NativeAdapter
5
+ from rap_native_v2.domains.common import object_schema
6
+ from rap_native_v2.tools import Tool, ToolInputError, ToolResult
7
+
8
+
9
+ class E1CoordinateAdapter(E1NativeAdapter):
10
+ def __init__(self, task_id, seed=1):
11
+ super().__init__(task_id, seed)
12
+ from ladder.rungs.raw import RawRung
13
+ self.rung = RawRung("R2")
14
+
15
+ def instructions(self, version):
16
+ return ("You are a PCB layout agent. Write exact component coordinates and copper paths. "
17
+ "Units are mm; origin top-left, x right, y down. Only task-movable parts may move. "
18
+ "Satisfy the task, DRC, and connectivity. Use the named MCP tools to change the board. "
19
+ "Local files are scratch space, NOT the authoritative board. "
20
+ f"TASK: {self.task.description}\n" + self.rung.docs(self.task))
21
+
22
+ def tools(self):
23
+ name = {"type": "string"}
24
+ number = {"type": "number"}
25
+ specs = {
26
+ "place": {"part": name, "x": number, "y": number,
27
+ "rot": {"type": "integer", "enum": [0, 90, 180, 270]}},
28
+ "draw": {"net": name, "layer": {"type": "string", "enum": ["F.Cu", "B.Cu"]},
29
+ "points": {"type": "array", "minItems": 2, "maxItems": 30,
30
+ "items": {"type": "array", "items": number,
31
+ "minItems": 2, "maxItems": 2}}},
32
+ "via": {"net": name, "x": number, "y": number},
33
+ "unroute": {"net": name},
34
+ }
35
+ if self.task.kind == "placement":
36
+ specs["autoroute"] = {}
37
+ tools = [Tool(op, "Apply one original R2 " + op + " action.", object_schema(fields),
38
+ lambda args, op=op: self.apply_coordinate(op, args))
39
+ for op, fields in specs.items()]
40
+ return tools + [Tool("finish", "Stop with the current board.", object_schema({}), self.finish)]
41
+
42
+ def apply_coordinate(self, op, args):
43
+ self.claim_action()
44
+ from pilot.env.errors import ActionError
45
+ action = {"action": op, **args}
46
+ error = self.rung.validate(self.task, action)
47
+ if error:
48
+ raise ToolInputError(error)
49
+ try:
50
+ step = self.rung.apply(self.ctx.with_state(
51
+ self.ctx.state, turn_seed=f"{self.seed}:{self.task.tid}:t{self.turn}"), action)
52
+ except ActionError as exc:
53
+ raise ToolInputError(str(exc)) from exc
54
+ self.ctx, self.last_message, self.grade_cache = step.ctx, step.message, None
55
+ return ToolResult({"accepted": True, **self.observe()},
56
+ {"artifact": asdict(self.ctx.state), "action": action})
57
+
58
+ def binding(self):
59
+ return {**super().binding(), "interface": "R2", "harness_arithmetic_available": True}
e1-luna-six-way-20261003/implementation/src/rap_harbor/run.py ADDED
@@ -0,0 +1,151 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """One frozen E1 task through a real Harbor Job and official Codex adapter."""
2
+ import argparse
3
+ import asyncio
4
+ import getpass
5
+ import importlib.metadata
6
+ import json
7
+ import os
8
+ from pathlib import Path
9
+ import time
10
+
11
+ from harbor.job import Job
12
+ from harbor.models.job.config import JobConfig
13
+
14
+ from rap_native_v2.domains.e1 import E1NativeAdapter
15
+ from rap_native_v2.paths import sha256
16
+ from rap_native_v2.responses import MODEL
17
+
18
+ from .bridge import Bridge
19
+ from .e1 import E1CoordinateAdapter
20
+
21
+
22
+ def summarize(bridge, job_result):
23
+ receipts = bridge.receipts
24
+ usage_complete = all(isinstance(r.get("usage"), dict) and
25
+ all(isinstance(r["usage"].get(k), int) for k in
26
+ ("input_tokens", "output_tokens", "total_tokens")) for r in receipts)
27
+ totals = {name: sum((r.get("usage") or {}).get(name, 0) or 0 for r in receipts)
28
+ for name in ("input_tokens", "output_tokens", "total_tokens")}
29
+ grade_path = bridge.output / "grade.json"
30
+ job_data = job_result.model_dump(mode="json")
31
+ errors = [t.get("exception_info") for t in job_data.get("trial_results", []) if t.get("exception_info")]
32
+ budget_stop = bool(bridge.budget_rejections) and len(receipts) == bridge.max_calls and all(
33
+ r.get("http_status") == 200 and r.get("response_status") == "completed" and not r.get("error_type")
34
+ for r in receipts)
35
+ known_costs = [r["reference_usd"] for r in receipts if r.get("reference_usd") is not None]
36
+ cost_complete = len(known_costs) == len(receipts)
37
+ return {"grade": json.loads(grade_path.read_text()) if grade_path.exists() else {"status": "unknown"},
38
+ "run_status": "budget_exhausted" if budget_stop else ("infrastructure_or_agent_error" if errors else "completed"),
39
+ "eligible_for_success_rate": (not errors or budget_stop) and bool(receipts),
40
+ "model": MODEL, "api_calls": len(receipts), "tokens": totals,
41
+ "usage_complete": usage_complete,
42
+ "reference_usd": sum(known_costs) if cost_complete else None,
43
+ "known_reference_usd_subtotal": sum(known_costs), "cost_complete": cost_complete,
44
+ "invoice_verified": False, "domain_actions": len(bridge.events),
45
+ "development_only": True, "historical_results_overwritten": False,
46
+ "job_result": job_data}
47
+
48
+
49
+ async def run(args, api_key):
50
+ if importlib.metadata.version("harbor") != "0.23.0":
51
+ raise RuntimeError("This integration is tested with harbor==0.23.0")
52
+ os.umask(0o077)
53
+ output = args.output.resolve()
54
+ output.mkdir(parents=True, exist_ok=False)
55
+ session = (E1NativeAdapter if args.interface == "rap" else E1CoordinateAdapter)(args.task)
56
+ bridge = Bridge(session, output / "private", api_key=api_key, output_cap=args.max_output_tokens)
57
+ task = output / "tasks" / f"e1-{args.task.lower()}-{args.interface}"
58
+ (task / "environment").mkdir(parents=True)
59
+ (task / "tests").mkdir()
60
+ public = {"instructions": session.instructions("v2"), "observation": session.observe(),
61
+ "binding": session.binding()}
62
+ (task / "environment/public.json").write_text(json.dumps(public, indent=2) + "\n")
63
+ instruction = (
64
+ session.instructions("v2") + "\n\n" + json.dumps(session.observe()) +
65
+ "\n\nThis is a Harbor coding-agent evaluation. The live board is owned by the RAP MCP server. "
66
+ "Use its tools to act; changing local JSON does not change the board. "
67
+ "You have at most 5 model API calls (including reasoning/final-only responses), "
68
+ "and at most one board-changing MCP action per response. Native shell and file tools "
69
+ "are available for your own scratch work, but consume this same model-call budget. "
70
+ "The final authoritative board is graded, not your natural-language answer."
71
+ )
72
+ (task / "instruction.md").write_text(instruction + "\n")
73
+ (task / "task.toml").write_text(
74
+ 'version = "1.0"\n[metadata]\ndomain = "E1"\ndevelopment_only = true\n'
75
+ '[agent]\ntimeout_sec = 600\nuser = 65534\n'
76
+ '[verifier]\ntimeout_sec = 120\n[environment]\nbuild_timeout_sec = 180\n'
77
+ )
78
+ # Harbor validates the task layout. The declared custom host-only verifier is
79
+ # the sole grader; this fail-closed placeholder must never produce a reward.
80
+ (task / "tests/test.sh").write_text("#!/bin/sh\nexit 1 # use rap_harbor.verifier:RapVerifier\n")
81
+ config = {
82
+ "model_provider": "rap_gateway", "web_search": "disabled",
83
+ "model_providers": {"rap_gateway": {
84
+ "name": "RAP metered gateway", "base_url": bridge.url + "/v1",
85
+ "env_key": "OPENAI_API_KEY", "wire_api": "responses", "requires_openai_auth": False,
86
+ "request_max_retries": 0, "stream_max_retries": 0, "supports_websockets": False}},
87
+ "features": {"multi_agent": False},
88
+ "mcp_servers": {"rap": {"command": "/bin/python3", "args": ["/app/rap_mcp.py"],
89
+ "env_vars": ["RAP_BRIDGE_URL", "RAP_BRIDGE_TOKEN"],
90
+ "startup_timeout_sec": 30, "tool_timeout_sec": 180}},
91
+ }
92
+ if getattr(args, "reasoning_effort", None) is not None:
93
+ config["model_reasoning_effort"] = args.reasoning_effort
94
+ agent = {"name": args.agent}
95
+ if args.agent == "codex":
96
+ agent.update(model_name="openai/gpt-5.6-luna",
97
+ kwargs={"version": "0.157.1", "config": config},
98
+ env={"OPENAI_API_KEY": bridge.token, "OPENAI_BASE_URL": bridge.url + "/v1",
99
+ "RAP_BRIDGE_URL": bridge.url, "RAP_BRIDGE_TOKEN": bridge.token})
100
+ job_config = JobConfig.model_validate({
101
+ "job_name": "harbor-e1-smoke", "jobs_dir": output / "jobs", "quiet": True,
102
+ "n_concurrent_trials": 1, "n_attempts": 1, "retry": {"max_retries": 0},
103
+ "tasks": [{"path": task}], "agents": [agent],
104
+ "environment": {"import_path": "rap_harbor.environment:RapChrootEnvironment", "delete": False,
105
+ "kwargs": {"codex_binary": str(args.codex_binary.resolve())}},
106
+ "verifier": {"import_path": "rap_harbor.verifier:RapVerifier", "kwargs": {"bridge_url": bridge.url}},
107
+ })
108
+ bridge.save("run-settings.json", {"harbor_version": "0.23.0", "codex_version": "0.157.1",
109
+ "codex_sha256": sha256(args.codex_binary), "model": MODEL,
110
+ "output_cap": args.max_output_tokens, "model_call_cap": 5,
111
+ "reasoning_effort_override": getattr(args, "reasoning_effort", None),
112
+ "temperature_override": None,
113
+ "mcp_schema_format": "native-v2-inline-refs-compact-nullable",
114
+ "environment": "non-root chroot; host network; no procfs/host mounts",
115
+ "endpoint": "E1 clean_pass; routability secondary not run"})
116
+ bridge.save("mcp-tools.json", bridge.rpc({"id": 0, "method": "tools/list"})["result"])
117
+ start = time.monotonic()
118
+ try:
119
+ job = await Job.create(job_config)
120
+ result = await job.run()
121
+ summary = {**summarize(bridge, result), "wall_s": time.monotonic() - start}
122
+ (output / "summary.json").write_text(json.dumps(summary, indent=2) + "\n")
123
+ print(json.dumps({k: v for k, v in summary.items() if k != "job_result"}, indent=2))
124
+ finally:
125
+ bridge.shutdown()
126
+
127
+
128
+ def main():
129
+ parser = argparse.ArgumentParser(description=__doc__)
130
+ parser.add_argument("--task", default="C001")
131
+ parser.add_argument("--interface", choices=["rap", "r2"], default="rap")
132
+ parser.add_argument("--agent", choices=["codex", "nop"], default="codex")
133
+ parser.add_argument("--codex-binary", type=Path, required=True)
134
+ parser.add_argument("--output", type=Path, required=True)
135
+ parser.add_argument("--max-output-tokens", type=int, default=8192)
136
+ parser.add_argument("--reasoning-effort", choices=("low", "medium", "high"))
137
+ parser.add_argument("--api", action="store_true")
138
+ parser.add_argument("--prompt-key", action="store_true")
139
+ args = parser.parse_args()
140
+ if args.agent == "codex" and not args.api:
141
+ parser.error("Codex uses a paid API: explicitly pass --api; use --agent nop for offline verification")
142
+ if args.max_output_tokens < 1:
143
+ parser.error("positive output token cap required")
144
+ key = getpass.getpass("Gateway API key (not saved): ") if args.prompt_key else os.environ.get("NVIDIA_API_KEY")
145
+ if args.api and not key:
146
+ parser.error("set NVIDIA_API_KEY or use --prompt-key; keys are never placed in source")
147
+ asyncio.run(run(args, key))
148
+
149
+
150
+ if __name__ == "__main__":
151
+ main()
e1-luna-six-way-20261003/implementation/src/rap_harbor/verifier.py ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Harbor custom verifier: host-only, original independent E1 checks."""
2
+ import json
3
+
4
+ from harbor.models.verifier.result import VerifierResult
5
+ from harbor.verifier.base import BaseVerifier
6
+
7
+ from .bridge import ACTIVE
8
+
9
+
10
+ class RapVerifier(BaseVerifier):
11
+ def __init__(self, *, bridge_url, **kwargs):
12
+ super().__init__(**kwargs)
13
+ self.bridge = ACTIVE[bridge_url]
14
+
15
+ async def verify(self):
16
+ await self.environment.stop(delete=False)
17
+ grade = self.bridge.close_episode()
18
+ self.trial_paths.verifier_dir.mkdir(parents=True, exist_ok=True)
19
+ (self.trial_paths.verifier_dir / "grade.json").write_text(json.dumps(grade, indent=2) + "\n")
20
+ # Infrastructure errors are not silently converted into negative rewards.
21
+ if grade["status"] not in ("pass", "fail"):
22
+ raise RuntimeError("independent verifier did not return a closed verdict")
23
+ rewards = {"reward": int(grade["status"] == "pass")}
24
+ self.trial_paths.reward_json_path.write_text(json.dumps(rewards) + "\n")
25
+ return VerifierResult(rewards=rewards)
e1-luna-six-way-20261003/implementation/src/rap_native_v2/domains/e1.py ADDED
@@ -0,0 +1,108 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ from copy import deepcopy
2
+ from dataclasses import asdict
3
+ import json
4
+
5
+ from ..paths import activate, sha256
6
+ from ..tools import Tool, ToolInputError, ToolResult
7
+ from .common import Session, bundle_parameters, object_schema
8
+
9
+
10
+ class E1NativeAdapter(Session):
11
+ max_turns = 5
12
+ output_cap = 1200
13
+
14
+ def __init__(self, task_id, seed=1):
15
+ root = activate("E1")
16
+ from ladder.tasks.generator import get_task
17
+ from ladder.tasks.freeze import task_fingerprint
18
+ from ladder.rungs.declarative import DeclarativeRung
19
+ from ladder.rungs.base import Ctx
20
+ self.task = get_task(task_id)
21
+ frozen = json.loads((root / "01-ladder/tasks/frozen-tasks.json").read_text())
22
+ self.fingerprint = task_fingerprint(self.task)
23
+ if frozen["fingerprints"].get(task_id) != self.fingerprint:
24
+ raise ValueError("E1 task drift; do not silently replace the old manifest")
25
+ self.freeze_hash = sha256(root / "01-ladder/tasks/frozen-tasks.json")
26
+ self.rung, self.seed = DeclarativeRung(), seed
27
+ self.ctx = Ctx(task=self.task, state=self.task.board)
28
+ self.turn, self.done, self.last_error = 0, False, None
29
+ self.last_message = "Starting board; no intent submitted."
30
+ self.parameters = bundle_parameters()
31
+ self.grade_cache = None
32
+
33
+ def instructions(self, version):
34
+ from pilot import config
35
+ from ladder.rungs.imperative import INTENT_DOCS
36
+ text = ("You are an expert PCB layout agent on a small 2-layer board. "
37
+ "The authoritative read view may contain coordinates; write only relational intent. "
38
+ "Board units are mm, origin top-left, x right, y down. "
39
+ f"Trace width {config.TRACE_W} mm; copper clearance {config.CLEAR} mm. "
40
+ "Parts must not overlap or leave the board; routed copper must connect each net's pads.\n"
41
+ f"TASK: {self.task.description}\n"
42
+ "Call exactly one tool per response. At most 5 model calls including invalid calls and finish. "
43
+ "submit_intent replaces the WHOLE bundle and realizes it from the starting board. "
44
+ "finish stops early; otherwise the board after the final turn is scored. "
45
+ "Use null for optional fields you do not specify; tools do not infer new choices. "
46
+ "Check the board, DRC, unrouted nets and coarse intent checks after each submission.\n")
47
+ if version == "v1":
48
+ return text + INTENT_DOCS.replace('"action":', '"op":')
49
+ return text + (
50
+ "align axis x means same x, y means same y. symmetry axis x mirrors about a vertical line "
51
+ "through axis_ref. place_relative between requires second_anchor. "
52
+ "Distance/clearance/width/tolerance classes map to metric values in the unchanged solver. "
53
+ "Keepouts/avoid refer to named objects. Joint submission routes all routable nets; "
54
+ "diff_pair/route_matched are permitted only for task-declared matched groups. "
55
+ "Only task-movable parts may move; geometry and hidden scoring are not tools.")
56
+
57
+ def observe(self):
58
+ from pilot.env.views import render_state
59
+ from ladder.agent import render_intent_checks
60
+ return {"board": render_state(self.ctx.state),
61
+ "intent_checks": render_intent_checks(self.task, self.ctx.state, "coarse"),
62
+ "active_intent": [c.describe() for c in self.ctx.constraints],
63
+ "message": self.last_message}
64
+
65
+ def tools(self):
66
+ return [Tool("submit_intent", "Replace and jointly realize the full PCB relational bundle.",
67
+ self.parameters, self.submit),
68
+ Tool("finish", "Stop and independently score the current board.", object_schema({}), self.finish)]
69
+
70
+ def submit(self, arguments):
71
+ self.claim_action()
72
+ from pilot.env.errors import ActionError
73
+ from pilot.env import solver_meter
74
+ action = {"action": "submit", **arguments}
75
+ error = self.rung.validate(self.task, action)
76
+ if error:
77
+ raise ToolInputError(error)
78
+ ctx = self.ctx.with_state(self.ctx.state, turn_seed=f"{self.seed}:{self.task.tid}:t{self.turn}")
79
+ try:
80
+ with solver_meter.phase("applied"):
81
+ step = self.rung.apply(ctx, action)
82
+ except ActionError as exc:
83
+ raise ToolInputError(str(exc)) from exc
84
+ self.ctx, self.last_message = step.ctx, step.message
85
+ self.grade_cache = None
86
+ return ToolResult({"accepted": True, **self.observe()},
87
+ {"artifact": asdict(self.ctx.state), "action": deepcopy(action)})
88
+
89
+ def finish(self, arguments):
90
+ self.claim_action()
91
+ self.done = True
92
+ return ToolResult({"accepted": True, "finished": True})
93
+
94
+ def grade(self):
95
+ from ladder.tasks.checkers import evaluate
96
+ if self.grade_cache is None:
97
+ # Routability is a separate post-placement secondary, not this endpoint.
98
+ metrics = evaluate(self.task, self.ctx.state, include_routability=False)
99
+ self.grade_cache = {"status": "pass" if metrics["clean_pass"] else "fail", "metrics": metrics}
100
+ return deepcopy(self.grade_cache)
101
+
102
+ def binding(self):
103
+ from ladder.agent import solver_backend_of
104
+ return {"domain": "E1", "task": self.task.tid, "task_fingerprint": self.fingerprint,
105
+ "freeze_sha256": self.freeze_hash, "seed": self.seed, "interface": "R4b",
106
+ "intent_view": "coarse", "solver_backend": solver_backend_of(self.task),
107
+ "endpoint": "clean_pass", "include_routability_secondary": False,
108
+ "stop_on_pass": False, "solver_calls": self.ctx.solver_calls}
e1-luna-six-way-20261003/implementation/src/rap_native_v2/domains/e1_coordinate.py ADDED
@@ -0,0 +1,26 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Native R2 control: reuse coordinate actions, not Harbor's agent/runtime."""
2
+ from rap_harbor.e1 import E1CoordinateAdapter
3
+
4
+
5
+ class E1NativeCoordinateAdapter(E1CoordinateAdapter):
6
+ def instructions(self, version):
7
+ from pilot import config
8
+ return (
9
+ "You are an expert PCB layout agent on a small 2-layer board. "
10
+ "The authoritative read view contains coordinates; write exact component coordinates and copper paths. "
11
+ "Board units are mm, origin top-left, x right, y down. "
12
+ f"Trace width {config.TRACE_W} mm; copper clearance {config.CLEAR} mm. "
13
+ "Parts must not overlap or leave the board; routed copper must connect each net's pads.\n"
14
+ f"TASK: {self.task.description}\n"
15
+ "Call exactly one tool per response. At most 5 model calls including invalid calls and finish. "
16
+ "Coordinate actions modify the current board incrementally. "
17
+ "finish stops early; otherwise the board after the final turn is scored. "
18
+ "Check the board, DRC, unrouted nets and coarse intent checks after each action. "
19
+ "Only task-movable parts may move. No shell or Python tool is available. "
20
+ "The action examples below document the original R2 semantics: invoke the matching native "
21
+ "function and omit the action selector from its arguments.\n" + self.rung.docs(self.task)
22
+ )
23
+
24
+ def binding(self):
25
+ return {**super().binding(), "harness_arithmetic_available": False,
26
+ "runtime": "native_v2", "coordinate_action_granularity": "one original R2 action per call"}
e1-luna-six-way-20261003/implementation/src/rap_native_v2/responses.py ADDED
@@ -0,0 +1,112 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Single-attempt Responses transport. Credentials never enter trace records."""
2
+ from pathlib import Path
3
+ import json
4
+ import math
5
+ import os
6
+ import re
7
+ import time
8
+
9
+ import httpx
10
+
11
+ from .runtime import ModelReply
12
+
13
+ MODEL = "openai/openai/gpt-5.6-luna"
14
+ ENDPOINT = "https://inference-api.nvidia.com/v1/responses"
15
+
16
+
17
+ class ResponsesFailure(RuntimeError):
18
+ def __init__(self, error_type, receipt, usage):
19
+ super().__init__(f"Responses call failed ({error_type}); see sanitized receipt")
20
+ self.receipt = receipt
21
+ self.usage = usage if isinstance(usage, dict) else {}
22
+
23
+
24
+ def redact(value):
25
+ if isinstance(value, str):
26
+ return re.sub(r"\bsk-[A-Za-z0-9_-]+", "[REDACTED_API_KEY]", value)
27
+ if isinstance(value, list):
28
+ return [redact(v) for v in value]
29
+ if isinstance(value, dict):
30
+ return {k: ("[REDACTED]" if k.lower() in ("authorization", "api_key", "apikey") else redact(v))
31
+ for k, v in value.items()}
32
+ return value
33
+
34
+
35
+ def write_new(path, value):
36
+ path = Path(path)
37
+ path.parent.mkdir(parents=True, exist_ok=True)
38
+ with path.open("x", encoding="utf-8") as stream:
39
+ json.dump(redact(value), stream, ensure_ascii=False, indent=2, allow_nan=False)
40
+ stream.write("\n")
41
+
42
+
43
+ class ResponsesClient:
44
+ def __init__(self, output_dir, *, model=MODEL, max_output_tokens=8192, api_key=None,
45
+ endpoint=ENDPOINT, timeout=300, client=None, reasoning_effort=None):
46
+ if type(max_output_tokens) is not int or max_output_tokens < 1:
47
+ raise ValueError("positive output cap required")
48
+ self.api_key = api_key or os.environ.get("NVIDIA_API_KEY")
49
+ if not self.api_key:
50
+ raise ValueError("set NVIDIA_API_KEY in the environment; do not put it in source")
51
+ self.path = Path(output_dir)
52
+ self.path.mkdir(parents=True, exist_ok=False)
53
+ self.model, self.cap, self.endpoint = model, max_output_tokens, endpoint
54
+ self.reasoning_effort = reasoning_effort
55
+ self.client = client or httpx.Client(timeout=timeout, trust_env=False, follow_redirects=False)
56
+ self.owns_client = client is None
57
+ self.attempt = 0
58
+
59
+ def close(self):
60
+ if self.owns_client:
61
+ self.client.close()
62
+
63
+ def generate(self, messages, tools):
64
+ self.attempt += 1
65
+ prefix = self.path / f"call-{self.attempt:03d}"
66
+ # The runtime contract requires one action, including an explicit finish/accept.
67
+ # Enforce that transport choice without choosing the tool or its arguments.
68
+ request = {"model": self.model, "input": messages, "tools": tools, "tool_choice": "required",
69
+ "parallel_tool_calls": False, "max_output_tokens": self.cap,
70
+ "store": False, "include": ["reasoning.encrypted_content"]}
71
+ if self.reasoning_effort is not None:
72
+ request["reasoning"] = {"effort": self.reasoning_effort}
73
+ # Defaults remain omitted; matched runs may explicitly pin effort.
74
+ write_new(prefix.with_suffix(".request.json"), request)
75
+ start = time.monotonic()
76
+ receipt = {"api_calls": 1, "attempt": self.attempt, "requested_model": self.model,
77
+ "reference_usd": None, "invoice_verified": False, "automatic_retries": 0}
78
+ data = {}
79
+ try:
80
+ response = self.client.post(self.endpoint, json=request,
81
+ headers={"Authorization": "Bearer " + self.api_key})
82
+ receipt.update(http_status=response.status_code, wall_s=time.monotonic() - start)
83
+ cost = response.headers.get("x-litellm-response-cost")
84
+ if cost is not None:
85
+ try:
86
+ price = float(cost)
87
+ if math.isfinite(price) and price >= 0:
88
+ receipt.update(reference_usd=price, cost_source="x-litellm-response-cost")
89
+ except ValueError:
90
+ pass
91
+ response.raise_for_status()
92
+ data = response.json()
93
+ if not isinstance(data, dict):
94
+ data = {}
95
+ raise ValueError("Responses body must be an object")
96
+ write_new(prefix.with_suffix(".response.json"), data)
97
+ actual = data.get("model")
98
+ # Gateway may return the routed name or the exact underlying alias.
99
+ if actual not in (self.model, self.model.split("/")[-1]):
100
+ raise ValueError("response model does not match requested model")
101
+ if not isinstance(data.get("output"), list):
102
+ raise ValueError("Responses output array missing")
103
+ receipt.update(response_id=data.get("id"), returned_model=actual, status=data.get("status"))
104
+ write_new(prefix.with_suffix(".receipt.json"), receipt)
105
+ return ModelReply(data["output"], data.get("status", "unknown"), data.get("usage") or {}, receipt)
106
+ except Exception as exc:
107
+ receipt.update(error_type=type(exc).__name__, wall_s=time.monotonic() - start,
108
+ usage_unknown=True, outcome="transport_or_protocol_error")
109
+ if not prefix.with_suffix(".receipt.json").exists():
110
+ write_new(prefix.with_suffix(".receipt.json"), receipt)
111
+ # URLs/headers/provider exception bodies are not echoed or recorded.
112
+ raise ResponsesFailure(type(exc).__name__, receipt, data.get("usage") or {}) from None
e1-luna-six-way-20261003/implementation/src/rap_native_v2/runtime.py ADDED
@@ -0,0 +1,134 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Bounded native Responses loop; realization and verification stay tool-owned."""
2
+ from copy import deepcopy
3
+ from dataclasses import dataclass, field
4
+ import json
5
+ import math
6
+ import time
7
+
8
+ from .tools import ToolInputError, ToolRegistry
9
+
10
+
11
+ @dataclass(frozen=True)
12
+ class ModelReply:
13
+ output: list[dict]
14
+ status: str = "completed"
15
+ usage: dict = field(default_factory=dict)
16
+ receipt: dict = field(default_factory=dict)
17
+
18
+
19
+ def accounting(replies, unresolved=0):
20
+ def integer(value):
21
+ return type(value) is int and value >= 0
22
+
23
+ def counts(reply):
24
+ usage = reply.usage
25
+ if not isinstance(usage, dict):
26
+ return False
27
+ values = [usage.get(k) for k in ("input_tokens", "output_tokens", "total_tokens")]
28
+ return all(integer(v) for v in values) and values[2] == values[0] + values[1]
29
+
30
+ complete = not unresolved and all(counts(r) for r in replies)
31
+ costs = [r.receipt.get("reference_usd") for r in replies]
32
+ known = [v for v in costs if type(v) in (int, float) and math.isfinite(v) and v >= 0]
33
+ totals = {key: sum(r.usage.get(key, 0) for r in replies if counts(r))
34
+ for key in ("input_tokens", "output_tokens", "total_tokens")}
35
+ return {**totals, "usage_complete": complete,
36
+ "model_responses": sum(r.status != "transport_error" for r in replies),
37
+ "new_api_calls_known": sum(r.receipt.get("api_calls", 0) for r in replies),
38
+ "unresolved_invocations": unresolved, "reference_usd_known": sum(known),
39
+ "cost_complete": not unresolved and len(known) == len(costs),
40
+ "invoice_verified": False, "reasoning_tokens_already_in_output": True,
41
+ "cached_tokens_already_in_input": True}
42
+
43
+
44
+ def run_native(adapter, model, *, version="v2", max_turns=None):
45
+ limit = adapter.max_turns if max_turns is None else max_turns
46
+ if type(limit) is not int or not 1 <= limit <= adapter.max_turns:
47
+ raise ValueError("requested model budget exceeds the domain budget")
48
+ started = time.monotonic()
49
+ registry = ToolRegistry(adapter.tools(), version)
50
+ messages = [{"role": "system", "content": adapter.instructions(version)},
51
+ {"role": "user", "content": json.dumps(adapter.observe(), allow_nan=False)}]
52
+ initial = deepcopy(messages)
53
+ history, replies = [], []
54
+ stopped, error, unresolved = "budget", None, 0
55
+ for turn in range(1, limit + 1):
56
+ if adapter.done:
57
+ stopped = "domain_done"
58
+ break
59
+ adapter.begin_turn(turn)
60
+ try:
61
+ reply = model.generate(deepcopy(messages), deepcopy(registry.schemas))
62
+ if not isinstance(reply, ModelReply):
63
+ raise TypeError("model must return ModelReply")
64
+ except Exception as exc:
65
+ stopped, error, unresolved = "model_unavailable", type(exc).__name__, 1
66
+ if isinstance(getattr(exc, "receipt", None), dict):
67
+ # A failed/incorrectly routed request can still be billable.
68
+ replies.append(ModelReply([], "transport_error", getattr(exc, "usage", {}), exc.receipt))
69
+ break
70
+ replies.append(reply)
71
+ if (not isinstance(reply.output, list) or not all(isinstance(item, dict) for item in reply.output)
72
+ or reply.status not in ("completed", "incomplete")):
73
+ stopped, error = "model_unavailable", "MalformedOrFailedResponse"
74
+ break
75
+ row = {"turn": turn, "response_status": reply.status, "output": deepcopy(reply.output),
76
+ "usage": deepcopy(reply.usage), "receipt": deepcopy(reply.receipt), "tools": []}
77
+ history.append(row)
78
+ calls = [item for item in reply.output if item.get("type") == "function_call"]
79
+ ids = [call.get("call_id") for call in calls]
80
+ well_formed = all(isinstance(i, str) and i for i in ids) and len(ids) == len(set(ids))
81
+ # Invalid envelopes remain in raw records, not in a broken API transcript.
82
+ if well_formed:
83
+ messages.extend(deepcopy(reply.output))
84
+ if reply.status != "completed":
85
+ rejection = "incomplete response; no action executed"
86
+ elif not well_formed:
87
+ rejection = "tool calls need distinct nonempty call_id values; no action executed"
88
+ elif len(calls) != 1:
89
+ rejection = "exactly one tool call per model turn; no action executed"
90
+ else:
91
+ rejection = None
92
+ if rejection:
93
+ adapter.reject(rejection)
94
+ row["error"] = rejection
95
+ feedback = {"accepted": False, "error": rejection}
96
+ if calls and well_formed:
97
+ messages.extend({"type": "function_call_output", "call_id": call["call_id"],
98
+ "output": json.dumps(feedback)} for call in calls)
99
+ else:
100
+ messages.append({"role": "user", "content": json.dumps(feedback)})
101
+ continue
102
+ call = calls[0]
103
+ tool_start = time.monotonic()
104
+ try:
105
+ result = registry.execute(call.get("name"), call.get("arguments"))
106
+ public = result.public
107
+ row["tools"].append({"name": call["name"], "call_id": call["call_id"],
108
+ "public": deepcopy(public), "private": deepcopy(result.private),
109
+ "wall_s": time.monotonic() - tool_start})
110
+ except ToolInputError as exc:
111
+ adapter.reject(str(exc))
112
+ public = {"accepted": False, "error": str(exc)}
113
+ row["error"] = str(exc)
114
+ except Exception as exc:
115
+ stopped, error = "tool_unavailable", type(exc).__name__
116
+ row["error"] = {"type": error, "model_failure": False}
117
+ break
118
+ messages.append({"type": "function_call_output", "call_id": call["call_id"],
119
+ "output": json.dumps(public, allow_nan=False)})
120
+ if adapter.done and stopped == "budget":
121
+ stopped = "domain_done"
122
+ final = None
123
+ if error is None:
124
+ try:
125
+ final = adapter.grade()
126
+ except Exception as exc:
127
+ stopped, error = "verification_unavailable", type(exc).__name__
128
+ return {"implementation": "backup-native-v2-reimplementation-20261002", "schema_version": version,
129
+ "binding": adapter.binding(), "max_model_calls": limit,
130
+ "initial_messages": initial, "tool_schemas": registry.schemas,
131
+ "history": history, "transcript": messages, "final": final,
132
+ "status": "unknown" if error else final["status"], "stopped": stopped, "error": error,
133
+ "attempt_receipts": [deepcopy(reply.receipt) for reply in replies],
134
+ "usage": accounting(replies, unresolved), "wall_s": time.monotonic() - started}
e1-luna-six-way-20261003/implementation/src/rap_native_v2/schema.py ADDED
@@ -0,0 +1,219 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Strict wire schemas; the original schema remains the execution authority.
2
+
3
+ V1 expands references and spells optionality with anyOf. V2 retains reachable
4
+ $defs and compacts primitive nullable types. Neither supplies engineering choices.
5
+ Constraints unsupported by the provider (e.g. uniqueItems/if) are STILL checked
6
+ locally against the original schema before the original domain validator runs.
7
+ """
8
+ from copy import deepcopy
9
+ import json
10
+
11
+ from jsonschema import Draft202012Validator
12
+
13
+
14
+ def _resolve(node, root):
15
+ if "$ref" not in node:
16
+ return node
17
+ ref = node["$ref"]
18
+ if not ref.startswith("#/$defs/") or set(node) != {"$ref"}:
19
+ raise ValueError("only local $defs references without siblings are supported")
20
+ return root["$defs"][ref[len("#/$defs/"):]]
21
+
22
+
23
+ def _type(value):
24
+ if value is None:
25
+ return "null"
26
+ return {str: "string", int: "integer", float: "number", bool: "boolean"}[type(value)]
27
+
28
+
29
+ def strict_schema(original, version="v2"):
30
+ if version not in ("v1", "v2"):
31
+ raise ValueError("schema version must be v1 or v2")
32
+ Draft202012Validator.check_schema(original)
33
+ used, definitions = set(), {}
34
+
35
+ def nullable(node):
36
+ if version == "v2" and "type" in node and isinstance(node["type"], str):
37
+ out = deepcopy(node)
38
+ out["type"] = [node["type"], "null"]
39
+ if "enum" in out and None not in out["enum"]:
40
+ out["enum"].append(None)
41
+ return out
42
+ return {"anyOf": [node, {"type": "null"}]}
43
+
44
+ def visit(node):
45
+ if "$ref" in node:
46
+ target = _resolve(node, original)
47
+ if version == "v1":
48
+ return visit(target)
49
+ name = node["$ref"].split("/")[-1]
50
+ if name not in used:
51
+ used.add(name)
52
+ definitions[name] = visit(target)
53
+ return deepcopy(node)
54
+ out = {}
55
+ for key, value in node.items():
56
+ if key in ("$schema", "$id", "$defs", "title", "default", "examples",
57
+ "if", "then", "else", "uniqueItems"):
58
+ continue
59
+ if key in ("oneOf", "anyOf"):
60
+ out["anyOf"] = [visit(branch) for branch in value]
61
+ elif key == "properties":
62
+ required = node.get("required", [])
63
+ out[key] = {name: (visit(s) if name in required else nullable(visit(s)))
64
+ for name, s in value.items()}
65
+ elif key == "items":
66
+ out[key] = visit(value)
67
+ elif key == "const":
68
+ out["enum"] = [deepcopy(value)]
69
+ else:
70
+ out[key] = deepcopy(value)
71
+ if "enum" in out and "type" not in out:
72
+ types = list(dict.fromkeys(_type(v) for v in out["enum"]))
73
+ if not types:
74
+ raise ValueError("cannot advertise an empty enum")
75
+ out["type"] = types[0] if len(types) == 1 else types
76
+ if out.get("type") == "object":
77
+ if node.get("additionalProperties") is not False:
78
+ raise ValueError("native tools require closed objects")
79
+ out["properties"] = out.get("properties", {})
80
+ out["required"] = list(out["properties"])
81
+ return out
82
+
83
+ result = visit(original)
84
+ if result.get("type") != "object" or "anyOf" in result:
85
+ raise ValueError("tool parameters require an object root; wrap unions in a named field")
86
+ if definitions:
87
+ result["$defs"] = definitions
88
+ # A reference is not automatically smaller. Inline one-use/short defs;
89
+ # retain only sharing that reduces the compact JSON byte count.
90
+ while True:
91
+ counts = dict.fromkeys(result["$defs"], 0)
92
+
93
+ def count(node):
94
+ if isinstance(node, dict):
95
+ if "$ref" in node:
96
+ counts[node["$ref"].split("/")[-1]] += 1
97
+ for value in node.values():
98
+ count(value)
99
+ elif isinstance(node, list):
100
+ for value in node:
101
+ count(value)
102
+
103
+ count(result)
104
+ inline = next((name for name, node in result["$defs"].items()
105
+ if counts[name] * json_size(node) <=
106
+ counts[name] * json_size({"$ref": "#/$defs/" + name}) + json_size({name: node})), None)
107
+ if inline is None:
108
+ break
109
+ replacement = result["$defs"].pop(inline)
110
+
111
+ def substitute(node):
112
+ if isinstance(node, dict):
113
+ if node == {"$ref": "#/$defs/" + inline}:
114
+ return deepcopy(replacement)
115
+ return {k: substitute(v) for k, v in node.items()}
116
+ if isinstance(node, list):
117
+ return [substitute(v) for v in node]
118
+ return node
119
+
120
+ result = substitute(result)
121
+ if not result["$defs"]:
122
+ del result["$defs"]
123
+ if version == "v2":
124
+ # E4 operation schemas contain repeated scalar definitions without
125
+ # original $refs. Share only byte-profitable, structurally equal leaves.
126
+ occurrences = {}
127
+
128
+ def leaves(node):
129
+ if isinstance(node, dict):
130
+ if isinstance(node.get("type"), str) and node["type"] in ("string", "number", "integer", "boolean"):
131
+ key = json.dumps(node, sort_keys=True, separators=(",", ":"))
132
+ occurrences.setdefault(key, [deepcopy(node), 0])[1] += 1
133
+ for value in node.values():
134
+ leaves(value)
135
+ elif isinstance(node, list):
136
+ for value in node:
137
+ leaves(value)
138
+
139
+ leaves(result)
140
+ for node, count in occurrences.values():
141
+ if count < 2:
142
+ continue
143
+ definitions = result.setdefault("$defs", {})
144
+ index = 1
145
+ while f"s{index}" in definitions:
146
+ index += 1
147
+ name = f"s{index}"
148
+ ref = {"$ref": "#/$defs/" + name}
149
+ if count * json_size(node) <= count * json_size(ref) + json_size({name: node}) + 12:
150
+ continue
151
+
152
+ def replace_leaf(item):
153
+ if isinstance(item, dict):
154
+ return deepcopy(ref) if item == node else {k: replace_leaf(v) for k, v in item.items()}
155
+ if isinstance(item, list):
156
+ return [replace_leaf(v) for v in item]
157
+ return item
158
+
159
+ result = replace_leaf(result)
160
+ result["$defs"][name] = node
161
+ if "$defs" in result and not result["$defs"]:
162
+ del result["$defs"]
163
+ Draft202012Validator.check_schema(result)
164
+ return result
165
+
166
+
167
+ def normalize_arguments(value, original):
168
+ """Remove null ONLY for originally optional fields; validate the full result."""
169
+ def visit(item, node):
170
+ node = _resolve(node, original)
171
+ branches = node.get("oneOf", node.get("anyOf"))
172
+ if branches is not None:
173
+ matches = []
174
+ for branch in branches:
175
+ candidate = visit(item, branch)
176
+ check = {**branch, "$defs": original.get("$defs", {})}
177
+ if Draft202012Validator(check).is_valid(candidate):
178
+ matches.append(candidate)
179
+ return matches[0] if len(matches) == 1 else deepcopy(item)
180
+ if isinstance(item, dict) and "properties" in node:
181
+ required = node.get("required", [])
182
+ properties = node["properties"]
183
+ return {key: (visit(v, properties[key]) if key in properties else deepcopy(v))
184
+ for key, v in item.items()
185
+ if not (v is None and key in properties and key not in required)}
186
+ if isinstance(item, list) and "items" in node:
187
+ return [visit(v, node["items"]) for v in item]
188
+ return deepcopy(item)
189
+
190
+ normalized = visit(value, original)
191
+ Draft202012Validator(original).validate(normalized)
192
+ return normalized
193
+
194
+
195
+ def wire_arguments(value, original):
196
+ """Offline/replay helper: spell optional omissions as null, never add values."""
197
+ Draft202012Validator(original).validate(value)
198
+
199
+ def visit(item, node):
200
+ node = _resolve(node, original)
201
+ branches = node.get("oneOf", node.get("anyOf"))
202
+ if branches is not None:
203
+ matching = [b for b in branches if Draft202012Validator(
204
+ {**b, "$defs": original.get("$defs", {})}).is_valid(item)]
205
+ if len(matching) != 1:
206
+ raise ValueError("ambiguous original union")
207
+ return visit(item, matching[0])
208
+ if isinstance(item, dict) and "properties" in node:
209
+ return {key: visit(item[key], s) if key in item else None
210
+ for key, s in node["properties"].items()}
211
+ if isinstance(item, list) and "items" in node:
212
+ return [visit(v, node["items"]) for v in item]
213
+ return deepcopy(item)
214
+
215
+ return visit(value, original)
216
+
217
+
218
+ def json_size(value):
219
+ return len(json.dumps(value, ensure_ascii=False, separators=(",", ":")).encode())
e1-luna-six-way-20261003/implementation/vendor/rap-method/pcb/experiments/01-ladder/agent.py ADDED
@@ -0,0 +1,273 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Episode loop for one (task, rung, model, seed) cell.
2
+
3
+ Stateless per-turn prompting (as in P0): the model receives the full typed
4
+ board view (coordinates IN, identical at every rung), the rung's extra
5
+ read view (candidates for R3, the PNG for R1, active intent for R4/R5),
6
+ and a compact log of its own past actions. Only the write path differs.
7
+ """
8
+
9
+ from __future__ import annotations
10
+
11
+ import time
12
+
13
+ from pilot.env.views import render_state
14
+ from pilot.env import memo, router, solver_meter as meter
15
+ from pilot.env.errors import ActionError
16
+ from pilot.llm.client import Timing
17
+ from pilot.llm.parsing import extract_action
18
+
19
+ from . import config as cfg
20
+ from .rungs.base import Ctx, Rung
21
+ from .sampling import sample_turn
22
+ from .solver import placement_ablation as e2
23
+ from .tasks.checkers import evaluate, intent_results
24
+ from .tasks.generator import Task
25
+ from .vocabulary import SPEC_VERSION
26
+
27
+
28
+ def system_prompt(task: Task, rung: Rung) -> str:
29
+ from pilot import config as pcfg
30
+ if getattr(rung, "placement_only", False):
31
+ return f"{rung.blurb()}\nTASK: {e2.task_description(task)}\n{rung.docs(task)}\nAt most {rung.max_turns} turns."
32
+ return f"""You are an expert PCB layout agent working on a small 2-layer board.
33
+ Units in the board view are mm; origin is the top-left board corner, x grows right, y grows down.
34
+ DRC rules: trace width {pcfg.TRACE_W} mm, copper clearance {pcfg.CLEAR} mm, parts must not
35
+ overlap and must stay on the board. A net is routed when copper connects all its pads.
36
+
37
+ {rung.blurb()}
38
+
39
+ TASK: {task.description}
40
+
41
+ Available actions (reply with EXACTLY ONE JSON object in a ```json fence per turn):
42
+ {rung.docs(task)}
43
+
44
+ Work step by step. Check the DRC report, the unrouted-net list and the intent
45
+ checks each turn. Each reply consumes one turn. The board after turn
46
+ {rung.max_turns} is scored automatically even if you do not send `finish`;
47
+ use `finish` only to stop early. You have at most {rung.max_turns} turns."""
48
+
49
+
50
+ def substrate_of(task: Task) -> str:
51
+ return "kicad" if task.board.substrate is not None else "sim"
52
+
53
+
54
+ def external_tools(task: Task) -> dict | None:
55
+ """The external tool versions an episode's verdict depends on: all of
56
+ them on a real board (KiCad's DRC judges, Freerouting routes), the router
57
+ pair alone when a sim task is served by Freerouting, nothing otherwise."""
58
+ from .kicad import tools as ktools
59
+ if task.board.substrate is not None:
60
+ return ktools.versions()
61
+ if solver_backend_of(task) == "freerouting":
62
+ return ktools.router_versions() # never the KiCad probes on a sim cell
63
+ return None
64
+
65
+
66
+ def solver_backend_of(task: Task) -> str:
67
+ return "freerouting" if task.board.substrate is not None else router.batch_backend()
68
+
69
+
70
+ def _shorten(text: str, n: int = 220) -> str:
71
+ text = " ".join(text.split())
72
+ return text if len(text) <= n else text[:n] + "..."
73
+
74
+
75
+ _PY_LOG_CHARS = 2200
76
+
77
+
78
+ def render_intent_checks(task: Task, state, view: str = cfg.INTENT_VIEW_DEFAULT) -> str:
79
+ """The machine intent checker's verdict on the CURRENT state, shown every
80
+ turn (the system prompt tells the model to check it). Rung-independent: it
81
+ is part of the shared read path, like the DRC report.
82
+
83
+ `view` is the registered ablation (config.INTENT_VIEWS). `detailed` also
84
+ prints each check's exact numeric error and tolerance — a dense gradient on
85
+ the very objective being scored, available for up to MAX_TURNS turns, which
86
+ turns an episode into guided hill-climbing on the grader. `coarse` (the
87
+ default) names the failing checks without their margins: the agent still
88
+ learns WHAT is wrong, never HOW FAR OFF and in which direction."""
89
+ if view not in cfg.INTENT_VIEWS:
90
+ raise ValueError(f"unknown intent view {view!r} (known: {list(cfg.INTENT_VIEWS)})")
91
+ # the checks alone: `evaluate` would also route the bare placement for the
92
+ # routability secondary, charging this turn's proposal ledger with solves
93
+ # the agent never asked for (and, on a real board, launching Freerouting)
94
+ results = intent_results(task, state)
95
+ if not results:
96
+ return "INTENT CHECKS: none for this task"
97
+ lines = [f"INTENT CHECKS ({sum(r['ok'] for r in results)}/{len(results)} pass):"]
98
+ for r in results:
99
+ detail = f": {r['detail']}" if view == "detailed" else ""
100
+ lines.append(f" [{'ok' if r['ok'] else 'FAIL'}] {r['type']}{detail}")
101
+ return "\n".join(lines)
102
+
103
+
104
+ def turn_content(ctx: Ctx, rung: Rung, turn: int, log: list[str],
105
+ intent_view: str = cfg.INTENT_VIEW_DEFAULT) -> list[dict]:
106
+ parts = [{"type": "text", "text": f"== TURN {turn}/{rung.max_turns} ==\n" + (e2.view(ctx) if getattr(rung, "placement_only", False) else render_state(ctx.state))
107
+ + "\n" + render_intent_checks(ctx.task, ctx.state, intent_view)}]
108
+ parts.extend(rung.extra_view(ctx))
109
+ tail = ""
110
+ if log:
111
+ tail += "\nYOUR PREVIOUS ACTIONS:\n" + "\n".join(f" {line}" for line in log[-12:])
112
+ tail += "\nReply with exactly one JSON action."
113
+ parts.append({"type": "text", "text": tail})
114
+ return parts
115
+
116
+
117
+ def _flatten(parts: list[dict]):
118
+ """Text-only models get a plain string; image parts need the list form."""
119
+ if all(p["type"] == "text" for p in parts):
120
+ return "\n".join(p["text"] for p in parts)
121
+ return parts
122
+
123
+
124
+ def run_episode(task: Task, rung: Rung, model_key: str, seed: int, client,
125
+ intent_view: str = cfg.INTENT_VIEW_DEFAULT, placement_work_cap: int = 0) -> dict:
126
+ """client: object with .chat(model_id, messages) -> ChatResult, or a
127
+ callable policy(task, rung, ctx, turn, log) -> action dict (offline).
128
+
129
+ `intent_view` selects the read-path ablation (config.INTENT_VIEWS); it is
130
+ stamped on the record and is part of the cell key, so a coarse and a
131
+ detailed episode of the same cell never average together."""
132
+ # every episode pays for its own solver work: R3's candidate memo
133
+ # (rungs/engine.py) is private to this episode, so its solver ledger and
134
+ # wall_s never depend on whether an identical (task, seed) cell ran
135
+ # earlier in the process (pilot/env/memo.py)
136
+ if type(placement_work_cap) is not int or placement_work_cap < 0:
137
+ raise ValueError("placement work cap must be a non-negative integer")
138
+ if placement_work_cap:
139
+ if not e2.eligible(task) or solver_backend_of(task) != cfg.SOLVER_BACKEND_DEFAULT:
140
+ raise ValueError("task/backend is not eligible for matched placement work")
141
+ rung = e2.PlacementOnlyRung(rung, placement_work_cap)
142
+ with memo.episode_scope():
143
+ return _run_episode(task, rung, model_key, seed, client, intent_view)
144
+
145
+
146
+ def _run_episode(task: Task, rung: Rung, model_key: str, seed: int, client,
147
+ intent_view: str) -> dict:
148
+ solver_seed = f"{seed}:{task.tid}" # rung-free by design
149
+ ctx = Ctx(task=task, state=task.board)
150
+ log: list[str] = []
151
+ actions: list[dict] = []
152
+ provider_models: set[str] = set()
153
+ tokens_in = tokens_out = 0
154
+ timing = Timing()
155
+ proposal_s = applied_s = 0.0
156
+ meter.reset()
157
+ # the tool probes are process-cached, but the FIRST episode of a process
158
+ # would otherwise pay for them inside its wall clock (kicad_drc alone
159
+ # builds a smoke board through kicad-cli): stamp them before the clock starts
160
+ tools = external_tools(task)
161
+ start = time.time()
162
+ offline = callable(client) and not hasattr(client, "chat")
163
+ sys_msg = system_prompt(task, rung)
164
+ finished = False
165
+ for turn in range(1, rung.max_turns + 1):
166
+ ctx = ctx.with_state(ctx.state, turn_seed=f"{solver_seed}:t{turn}")
167
+ step, extra = None, {}
168
+ if offline:
169
+ action, err = client(task, rung, ctx, turn, log), None
170
+ if action is None:
171
+ break
172
+ elif getattr(rung, "samples", 1) > 1:
173
+ # best-of-n arm: n draws, solver-verified choice (sampling.py)
174
+ view_started = time.time()
175
+ with meter.phase("proposal"):
176
+ content = _flatten(turn_content(ctx, rung, turn, log, intent_view))
177
+ proposal_s += time.time() - view_started
178
+ messages = [{"role": "system", "content": sys_msg}, {"role": "user", "content": content}]
179
+ sampled = sample_turn(task, rung, ctx, messages, client, cfg.MODELS[model_key],
180
+ rung.samples, rung.sample_temperature)
181
+ tokens_in += sampled.tokens_in
182
+ tokens_out += sampled.tokens_out
183
+ timing = timing.plus_many(sampled.results)
184
+ provider_models |= sampled.provider_models
185
+ action, err, step = sampled.chosen.action, sampled.chosen.error, sampled.chosen.step
186
+ extra = {"candidates": [c.record() for c in sampled.candidates], "chosen": sampled.chosen.index}
187
+ else:
188
+ # R3's candidate menu is rendered by SOLVING -- a placement solve per
189
+ # constrained part and a full route realization per variant per
190
+ # unrouted net. It is timed and counted as `proposal`, separately
191
+ # from the single solve the chosen action costs, so `solver_calls`
192
+ # is comparable across rungs and a rung that does not propose gets
193
+ # no wall-time credit for work it never did (env/solver_meter.py).
194
+ view_started = time.time()
195
+ with meter.phase("proposal"):
196
+ content = _flatten(turn_content(ctx, rung, turn, log, intent_view))
197
+ proposal_s += time.time() - view_started
198
+ messages = [{"role": "system", "content": sys_msg}, {"role": "user", "content": content}]
199
+ result = client.chat(cfg.MODELS[model_key], messages)
200
+ tokens_in += result.prompt_tokens
201
+ tokens_out += result.completion_tokens
202
+ timing = timing.plus(result)
203
+ if result.model:
204
+ provider_models.add(result.model)
205
+ action, err = extract_action(result.text)
206
+ if step is None and err is None and action is not None:
207
+ err = rung.validate(task, action)
208
+ if err is not None:
209
+ log.append(f"turn {turn}: PARSE/VALIDATION ERROR -> {_shorten(err)}")
210
+ actions.append({"turn": turn, "action": None, "error": err, **extra})
211
+ continue
212
+ if step is None:
213
+ apply_started = time.time()
214
+ try:
215
+ with meter.phase("applied"):
216
+ step = rung.apply(ctx, action)
217
+ except ActionError as exc:
218
+ # ONLY an agent-supplied-value error costs a turn. A KeyError
219
+ # from a refactor or a solver regression propagates, so the
220
+ # runner records an infra_error and re-runs the cell instead of
221
+ # scoring our defect against the model (pilot/env/errors.py).
222
+ msg = f"error ({type(exc).__name__}): {exc}"
223
+ applied_s += time.time() - apply_started
224
+ if step is not None:
225
+ ctx, msg = step.ctx, step.message
226
+ shown = msg[:_PY_LOG_CHARS] if action.get("action") == "python" else _shorten(msg)
227
+ log.append(f"turn {turn}: {_shorten(str(action), 200)} -> {shown}")
228
+ actions.append({"turn": turn, "action": action, "result": msg[:4000], **extra})
229
+ if ctx.done:
230
+ finished = True
231
+ break
232
+ placement_only = getattr(rung, "placement_only", False)
233
+ metrics = evaluate(task, ctx.state, include_routability=not placement_only)
234
+ if placement_only:
235
+ metrics["placement_pass"] = e2.placement_pass(task, ctx.state)
236
+ return {
237
+ "task": task.tid, "suite": task.suite, "split": task.split, "difficulty": task.difficulty,
238
+ # grouping labels: `family` is the exact-structural-clone class the
239
+ # cluster bootstrap resamples, `template` the generator procedure the
240
+ # leave-one-template-out check withholds (tasks/identity.py)
241
+ "family": task.family, "template": task.template,
242
+ "rung": rung.name, "model": model_key,
243
+ "model_id": None if offline else cfg.MODELS[model_key],
244
+ # the board that judged this episode and the batch router that served it
245
+ # (a real-board substrate always routes with Freerouting on its own board)
246
+ "substrate": substrate_of(task),
247
+ "solver_backend": solver_backend_of(task),
248
+ # the external tools that judged / routed it (None on the pure-sim path)
249
+ "tools": tools,
250
+ # the read-path ablation this episode ran under (config.INTENT_VIEWS)
251
+ "intent_view": intent_view,
252
+ **e2.stamp(),
253
+ "placement_work_used": 0,
254
+ "placement_work_detail": {},
255
+ "placement_work_exhausted": False,
256
+ "provider_models": sorted(provider_models),
257
+ "seed": seed, "spec": SPEC_VERSION,
258
+ "turns": len(actions), "finished": finished,
259
+ "tokens_in": tokens_in, "tokens_out": tokens_out,
260
+ # `solver_calls` stays the count of solves the APPLIED actions cost, so
261
+ # the field keeps its meaning across old and new records; the exhaustive
262
+ # per-phase ledger (proposal / applied / verification) lives beside it.
263
+ "solver_calls": ctx.solver_calls,
264
+ "solver_calls_ledger": meter.totals(meter.snapshot()),
265
+ "solver_calls_detail": meter.snapshot(),
266
+ "proposal_s": round(proposal_s, 3),
267
+ "applied_s": round(applied_s, 3),
268
+ **timing.as_record(),
269
+ "wall_s": round(time.time() - start, 2),
270
+ "actions": actions,
271
+ **(rung.record_extra(task) if hasattr(rung, "record_extra") else {}),
272
+ **metrics,
273
+ }
e1-luna-six-way-20261003/implementation/vendor/rap-method/pcb/experiments/01-ladder/rungs/declarative.py ADDED
@@ -0,0 +1,78 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """R4b relational intent, DECLARATIVE form: the agent submits one
2
+ constraint bundle; the solver satisfies placement constraints jointly and
3
+ then routes. Same vocabulary as R4a; equal-turn E2 compares the complete
4
+ interfaces, including their numerical budgets. Matched placement-search work
5
+ is a separate placement-only secondary."""
6
+
7
+ from __future__ import annotations
8
+
9
+ import json
10
+
11
+ from pilot.arms.seeding import derive_rng
12
+ from pilot.env import placement_work
13
+
14
+ from .. import config as cfg
15
+ from .. import vocabulary as vocab
16
+ from ..solver.compile import bundle_to_constraints
17
+ from ..solver.executor import realize
18
+ from ..tasks.generator import Task
19
+ from .base import FINISH_DOC, Ctx, Step, bundle_semantic_error
20
+ from .imperative import INTENT_DOCS
21
+
22
+ _DOC = """{"action": "submit", "bundle": {"placement": [ <placement ops> ], "routing": [ <routing ops> ]}}
23
+ -- submit the WHOLE intent at once; the solver places every part jointly, then routes all nets.
24
+ -- resubmitting replaces the previous bundle and re-solves from the task's starting board.
25
+ Ops use the key "op" instead of "action" inside a bundle, e.g. {"op": "place_relative", ...}.
26
+ Available ops (route_intent is not needed: submit routes everything):
27
+ """ + INTENT_DOCS.replace('"action":', '"op":').replace(
28
+ '\n{"op": "route_intent", "nets": "all"} -- run the router on nets ("all" or a list) honoring the directives above', "")
29
+
30
+
31
+ class DeclarativeRung:
32
+ name = "R4b"
33
+ reads_pixels = False
34
+ max_turns = cfg.MAX_TURNS
35
+
36
+ def blurb(self) -> str:
37
+ return ("You act through RELATIONAL INTENT only, submitted as ONE constraint bundle: "
38
+ "the solver satisfies all relations jointly and routes. You never emit coordinates.")
39
+
40
+ def docs(self, task: Task) -> str:
41
+ return "\n".join([_DOC, FINISH_DOC])
42
+
43
+ def validate(self, task: Task, action: dict) -> str | None:
44
+ name = action.get("action")
45
+ if name == "finish":
46
+ return None
47
+ if name != "submit":
48
+ return 'allowed actions: "submit" (with a bundle) or "finish"'
49
+ if vocab.contains_metric(action):
50
+ return "intent ops carry CLASSES, never metric values (mm)"
51
+ errs = vocab.errors(action, {"$ref": "#/$defs/declarative_action"}, "action")
52
+ if errs:
53
+ return "; ".join(errs)
54
+ try:
55
+ cs = bundle_to_constraints(action["bundle"])
56
+ except ValueError as exc:
57
+ return str(exc)
58
+ return bundle_semantic_error(task, cs)
59
+
60
+ def apply(self, ctx: Ctx, action: dict) -> Step:
61
+ if action["action"] == "finish":
62
+ return Step(ctx.with_state(ctx.state, done=True), "finished")
63
+ cs = bundle_to_constraints(action["bundle"])
64
+ rng = derive_rng(ctx.turn_seed, "bundle", json.dumps(action["bundle"], sort_keys=True))
65
+ report = realize(ctx.task.board, ctx.task.movable_parts, ctx.task.routable_nets, cs, rng,
66
+ route=placement_work.current() is None,
67
+ iters=(cfg.PLACEMENT_WORK_ITERS if placement_work.current() is not None
68
+ else cfg.PLACER_ITERS))
69
+ new_ctx = ctx.with_state(report.state, constraints=cs, solver_calls=ctx.solver_calls + 1,
70
+ last_feasible=report.feasible)
71
+ margins = ", ".join(f"{cid}:{m:+.2f}" for cid, m in sorted(report.margins.items()))
72
+ return Step(new_ctx, report.summary() + f"\n margins (<=0 satisfied): {margins}")
73
+
74
+ def extra_view(self, ctx: Ctx) -> list[dict]:
75
+ if not ctx.constraints:
76
+ return []
77
+ lines = ["\nLAST SUBMITTED BUNDLE:"] + [f" {c.describe()}" for c in ctx.constraints]
78
+ return [{"type": "text", "text": "\n".join(lines)}]
e1-luna-six-way-20261003/implementation/vendor/rap-method/pcb/experiments/01-ladder/rungs/raw.py ADDED
@@ -0,0 +1,40 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """R2 raw coordinates and R2+ raw coordinates + Python sandbox (the Gate-0
2
+ null). Both reuse the pilot's A1/A2 write paths unchanged."""
3
+
4
+ from __future__ import annotations
5
+
6
+ from pilot.arms.apply import apply_action
7
+ from pilot.arms.schemas import action_docs, validate
8
+
9
+ from .. import config as cfg
10
+ from ..tasks.generator import Task
11
+ from .base import Ctx, Step
12
+
13
+
14
+ class RawRung:
15
+ reads_pixels = False
16
+ max_turns = cfg.MAX_TURNS
17
+
18
+ def __init__(self, name: str):
19
+ self.name = name
20
+ self._arm = "A1" if name == "R2" else "A2"
21
+
22
+ def blurb(self) -> str:
23
+ base = "You act by emitting exact coordinates (mm)."
24
+ if self._arm == "A2":
25
+ base += " You also have a Python sandbox to compute any geometry before acting."
26
+ return base
27
+
28
+ def docs(self, task: Task) -> str:
29
+ return action_docs(self._arm, task.kind)
30
+
31
+ def validate(self, task: Task, action: dict) -> str | None:
32
+ return validate(self._arm, task.kind, action)
33
+
34
+ def apply(self, ctx: Ctx, action: dict) -> Step:
35
+ state, msg, _ = apply_action(ctx.state, ctx.task, self._arm, action, ctx.turn_seed)
36
+ calls = ctx.solver_calls + (1 if action["action"] == "autoroute" else 0)
37
+ return Step(ctx.with_state(state, solver_calls=calls, done=action["action"] == "finish"), msg)
38
+
39
+ def extra_view(self, ctx: Ctx) -> list[dict]:
40
+ return []
e1-luna-six-way-20261003/manifest.json ADDED
The diff for this file is too large to render. See raw diff
 
e1-luna-six-way-20261003/metadata/historical-comparison.json ADDED
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1
+ {
2
+ "created_utc": "2026-10-03T03:27:50.339289+00:00",
3
+ "api_calls_this_audit": 0,
4
+ "model": "openai/openai/gpt-5.6-luna",
5
+ "tasks": [
6
+ "C001",
7
+ "C002",
8
+ "C003",
9
+ "C005",
10
+ "C006",
11
+ "C007",
12
+ "C008",
13
+ "C009",
14
+ "C010",
15
+ "C012",
16
+ "C013",
17
+ "C014",
18
+ "C015",
19
+ "C016",
20
+ "C018",
21
+ "C019",
22
+ "C020",
23
+ "P001",
24
+ "P002",
25
+ "P004",
26
+ "P005",
27
+ "P006",
28
+ "P007",
29
+ "P009",
30
+ "P010",
31
+ "P011",
32
+ "P013",
33
+ "P014",
34
+ "P015",
35
+ "P016",
36
+ "P018",
37
+ "P019",
38
+ "P021",
39
+ "P022",
40
+ "P023",
41
+ "P024",
42
+ "P025",
43
+ "P026",
44
+ "P027",
45
+ "P029",
46
+ "P030",
47
+ "P031",
48
+ "P033",
49
+ "P034",
50
+ "P035",
51
+ "P036",
52
+ "P038",
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+ "P039",
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+ "R001",
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+ "R003",
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+ "R005",
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+ "R006",
59
+ "R007",
60
+ "R008",
61
+ "R009",
62
+ "R011",
63
+ "R012",
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+ "R013",
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+ "R014",
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+ "R049",
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+ "attempts": 316,
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+ "usage_complete": true,
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+ "seed": 1,
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+ "reasoning_effort": "medium",
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+ "max_model_calls": 5,
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+ },
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+ "paired_to_corresponding_historical_interface": {
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+ "native_v2_r2": {
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+ "historical_only_pass": [],
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+ "current_only_pass": [
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+ "P005",
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+ "P007",
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+ "P034",
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+ "P035",
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+ "R009"
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+ ]
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+ },
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+ "X010"
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+ ],
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+ "current_only_pass": [
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+ "harbor_codex_r2": {
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+ "historical_only_pass": [
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+ "R032",
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+ "R039"
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+ ],
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+ "current_only_pass": []
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+ }
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+ },
348
+ "scope_correction": "These supplied paper numbers reproduce 98 simulated test tasks, seed 1, six interfaces; not 196 tasks across six seeds.",
349
+ "limitations": [
350
+ "Old and new have identical frozen tasks but different prompts/history/serialization and output caps.",
351
+ "Historical Luna omitted reasoning effort; current arms explicitly use medium. Historical effective default is not proven.",
352
+ "Original text loop rebuilds current state plus shortened action logs; native/Harbor replay native tool conversations.",
353
+ "All four current arms are single-seed development runs, not repeated-seed confirmation.",
354
+ "R2 uses one geometric action, while RAP can realize a bundle; Harbor also has shell/file tools.",
355
+ "R2+ archived episode token sum is preserved but five calls are absent from the selected usage ledger; not silently imputed.",
356
+ "Historical/current cross-cohort differences are descriptive, not a pure native-vs-text causal attribution."
357
+ ]
358
+ }
e1-luna-six-way-20261003/metadata/historical-sources.json ADDED
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+ <!doctype html><html lang="zh-CN"><meta charset="utf-8">
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+ <meta name="viewport" content="width=device-width,initial-scale=1"><title>E1 Luna · Public evaluation release</title>
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+ <style>body{font:16px/1.7 system-ui;max-width:1250px;margin:40px auto;padding:0 20px;color:#18333b}
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+ table{border-collapse:collapse;width:100%;font-size:14px}th,td{padding:10px;border:1px solid #d3e1e5;text-align:left}
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+ th{background:#eef5f5}.note{background:#fff5d9;padding:18px}a{color:#087b79}.scroll{overflow:auto}</style>
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+ <h1>E1 Luna：六组完整结果与公开证据</h1><p>98 道模拟 test × 6 条件 = 588 个 episode。单 seed=1；没有新跑 API 或修改评分。</p>
7
+ <p><a href="setup-summary.html">逐行 Setup 说明</a> · <a href="results.jsonl">逐题指标</a> ·
8
+ <a href="tasks/tasks.jsonl">98 道完整任务</a> · <a href="manifest.json">来源与校验清单</a></p>
9
+ <div class="scroll"><table><tr><th>条件</th><th>Clean pass</th><th>Total tokens</th><th>Model calls</th>
10
+ <th>平均秒/题</th><th>中位秒/题</th><th>Raw data</th></tr><tr><td>Historical R2</td><td>24/98 (24.5%)</td><td>966,897</td><td>469</td><td>41.77</td><td>46.39</td><td><a href="raw/paper_r2.tar.gz">Sanitized traces</a></td></tr><tr><td>Historical RAP / R4b</td><td>94/98 (95.9%)</td><td>591,725</td><td>240</td><td>9.13</td><td>6.17</td><td><a href="raw/paper_rap.tar.gz">Sanitized traces</a></td></tr><tr><td>Native V2 + R2</td><td>29/98 (29.6%)</td><td>2,244,091</td><td>469</td><td>22.53</td><td>21.95</td><td><a href="raw/native_v2_r2.tar.gz">Sanitized traces</a></td></tr><tr><td>Native V2 + RAP</td><td>91/98 (92.9%)</td><td>1,577,621</td><td>276</td><td>15.19</td><td>10.69</td><td><a href="raw/native_v2_rap.tar.gz">Sanitized traces</a></td></tr><tr><td>Harbor Codex + R2</td><td>24/98 (24.5%)</td><td>6,992,722</td><td>490</td><td>71.78</td><td>68.71</td><td><a href="raw/harbor_codex_r2.tar.gz">Sanitized traces</a></td></tr><tr><td>Harbor Codex + RAP</td><td>90/98 (91.8%)</td><td>5,211,733</td><td>425</td><td>62.44</td><td>60.63</td><td><a href="raw/harbor_codex_rap.tar.gz">Sanitized traces</a></td></tr></table></div>
11
+ <h2>解释边界</h2><ul><li>Old and new have identical frozen tasks but different prompts/history/serialization and output caps.</li><li>Historical Luna omitted reasoning effort; current arms explicitly use medium. Historical effective default is not proven.</li><li>Original text loop rebuilds current state plus shortened action logs; native/Harbor replay native tool conversations.</li><li>All four current arms are single-seed development runs, not repeated-seed confirmation.</li><li>R2 uses one geometric action, while RAP can realize a bundle; Harbor also has shell/file tools.</li><li>Historical/current cross-cohort differences are descriptive, not a pure native-vs-text causal attribution.</li><li>This release contains six arms / 588 episodes only; it is not the complete nine-model paper archive.</li><li>The audited historical paper numbers use 98 simulated test tasks, seed 1, not 196 tasks across six seeds.</li><li>R2 is single-object/net geometry; RAP can jointly realize a whole bundle. Equal model calls do not equal solver work.</li><li>A conservative necessary-action bound exceeds 5 for 47/98 tasks under the R2 interface; do not attribute the full gap to reasoning.</li><li>Solver randomness depends on model-turn index and bundle content; tool discovery can shift the realization seed.</li><li>Harbor wall time includes job/environment setup; Native measures its loop and grading. These are not a pure harness speed benchmark.</li><li>Reference API cost is not an invoice. Redacted trajectories cannot replay opaque encrypted reasoning state.</li></ul>
12
+ <h2>Latency 口径</h2><p>所有 latency 包含通过与失败题。Native 是模型—工具循环及评分；Harbor 是 job 创建、
13
+ 环境准备、agent 执行及验证等的整体计时，不能把全部差异归因于模型推理。记录受 API 负载、并发和运行日期影响。</p>
14
+ <p>Harbor RAP 平均 62.44s：环境准备 13.41s、agent 执行 36.50s，其余设置/验证/任务管理约 12.54s。
15
+ 累计 API 请求耗时约 18.71s，属于上述执行时间，不能重复相加；Native RAP 累计 API 请求约 13.58s。</p>
16
+ <h2>公共数据处理</h2><p>保留模型可见提示、工具调用、参数、公开反馈、最终产物、评分、用量和运行配置。
17
+ 移除凭据、opaque encrypted reasoning；替换本地路径前缀。重复 SSE chunk、环境镜像/运行时和认证缓存不发布。
18
+ 这是脱敏后的证据副本，不是原始 HTTP 字节的完整重放包。来源和脱敏后文件的 SHA256 均记录在 manifest 中。</p>
19
+ <p>完整 frozen manifest 含 223 项，不等于本次全部运行；本发布只有指定 98 道模拟 test。
20
+ 不包括其他模型、E3/E4/E5 或原生 solver API 新对照。</p></html>
e1-luna-six-way-20261003/results.jsonl ADDED
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+ </style>
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+ </head>
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+ <body><main>
32
+ <div class="eyebrow">RAP / E1 / GPT-5.6 LUNA · SETUP AUDIT · 2026-10-03</div>
33
+ <h1>这六行，分别是怎么跑的？</h1>
34
+ <p class="lead"><b>工具接口</b>决定 agent 输出坐标还是关系意图；<b>运行框架（harness）</b>决定如何组织提示、历史、工具调用与额外的 coding 工具。六行并不是六个不同模型。</p>
35
+ <nav class="nav" aria-label="页面导航"><a href="#matrix">六行总览</a><a href="#common">共同条件</a><a href="#details">逐行展开</a><a href="#comparability">能比较什么</a><a href="#tokens">Token 口径</a><a href="report.html">完整结果对账报告</a></nav>
36
+ <div class="grid">
37
+ <div class="tile"><span>模型 / 路由一致</span><b>GPT-5.6 Luna</b><small><code>openai/openai/gpt-5.6-luna</code><br>NVIDIA 网关 · Responses 接口</small></div>
38
+ <div class="tile"><span>本页比较的任务</span><b>98 道模拟 test</b><small>冻结 manifest 相同；不混入 dev 或 PCBWorld</small></div>
39
+ <div class="tile"><span>每题上限</span><b>5 次模型调用</b><small>不是直到成功为止，也不是保证每题都调用 5 次</small></div>
40
+ <div class="tile"><span>重复设置</span><b>seed = 1 · 单次</b><small>任务 / solver seed；不等于模型采样被完全固定</small></div>
41
+ </div>
42
+
43
+ <section id="matrix">
44
+ <h2>1. 六行 Setup 总览</h2>
45
+ <div class="scroll"><table class="overview">
46
+ <caption>输出 cap 指每次 API 请求的输出 token 上限。旧版参数来自归档配置；新版有实际请求和 run-config 可核查。历史实际默认 effort 未证实为 medium。</caption>
47
+ <thead><tr><th scope="col">实验行</th><th scope="col">运行框架 / 输出协议</th><th scope="col">模型能执行什么</th><th scope="col">上下文 / 历史</th><th scope="col">Effort / 输出 cap</th><th scope="col">Shell / Python</th><th scope="col">结果锚点</th></tr></thead>
48
+ <tbody>
49
+ <tr data-arm="paper_r2" data-passed="24" data-tokens="966897" data-calls="469" data-cap="1200"><th scope="row"><a href="#paper-r2">① 论文原版 R2</a></th><td>原 ladder agent loop<br>JSON 文本 → 手动 parse</td><td>逐个坐标 / 铜线动作；<code>finish</code><small>原 R2 写接口，不是 R2+。</small></td><td>每轮重建当前板状态 + 精简动作日志</td><td>effort 省略<br><b>1,200</b></td><td>无</td><td class="num">24/98 · 24.5%<small>966,897 tokens<br>469 次调用</small></td></tr>
50
+ <tr data-arm="paper_rap" data-passed="94" data-tokens="591725" data-calls="240" data-cap="1200"><th scope="row"><a href="#paper-rap">② 论文原版 RAP</a></th><td>同一原 ladder loop<br>JSON 文本 → 手动 parse</td><td>完整关系 bundle：<code>submit</code>；<code>finish</code></td><td>当前板状态 + 当前 bundle + 精简动作日志</td><td>effort 省略<br><b>1,200</b></td><td>无</td><td class="num">94/98 · 95.9%<small>591,725 tokens<br>240 次调用</small></td></tr>
51
+ <tr data-arm="native_v2_r2" data-passed="29" data-tokens="2244091" data-calls="469" data-cap="8192"><th scope="row"><a href="#native-r2">③ Native V2 + R2</a></th><td>自定义 bounded native loop<br>Responses function calls</td><td>原 R2 操作包装为 native functions；无关系求解入口</td><td>累积模型返回项 + <code>function_call_output</code></td><td>显式 <b>medium</b><br><b>8,192</b></td><td>无</td><td class="num">29/98 · 29.6%<small>2,244,091 tokens<br>469 次调用</small></td></tr>
52
+ <tr data-arm="native_v2_rap" data-passed="91" data-tokens="1577621" data-calls="276" data-cap="8192"><th scope="row"><a href="#native-rap">④ Native V2 + RAP</a></th><td>同一 native loop<br>Responses function calls</td><td><code>submit_intent</code> + <code>finish</code><small>bundle 由原 R4b 执行器实现。</small></td><td>同一 native 历史策略；反馈含新状态与实现结果</td><td>显式 <b>medium</b><br><b>8,192</b></td><td>无</td><td class="num">91/98 · 92.9%<small>1,577,621 tokens<br>276 次调用</small></td></tr>
53
+ <tr data-arm="harbor_codex_r2" data-passed="24" data-tokens="6992722" data-calls="490" data-cap="8192"><th scope="row"><a href="#harbor-r2">⑤ Harbor Codex + R2</a></th><td>Harbor 0.23.0<br>官方 Codex adapter / CLI 0.157.1</td><td>MCP 暴露 R2 操作；Codex 调用工具并继续决策</td><td>Codex 自带提示与会话、工具发现、MCP 反馈及 scratch 输出</td><td>请求为 <b>medium</b><br><b>8,192</b></td><td><b>有</b><small>只作 scratch；不能通过改本地文件替换板图。</small></td><td class="num">24/98 · 24.5%<small>6,992,722 tokens<br>490 次调用</small></td></tr>
54
+ <tr data-arm="harbor_codex_rap" data-passed="90" data-tokens="5211733" data-calls="425" data-cap="8192"><th scope="row"><a href="#harbor-rap">⑥ Harbor Codex + RAP</a></th><td>同一 Harbor / Codex 版本</td><td>MCP 暴露 <code>submit_intent</code> + <code>finish</code>；后端仍是 RAP</td><td>同一 Codex 会话机制；MCP schema 做等价渲染适配</td><td>请求为 <b>medium</b><br><b>8,192</b></td><td><b>有</b><small>与 Harbor R2 同类 scratch 权限。</small></td><td class="num">90/98 · 91.8%<small>5,211,733 tokens<br>425 次调用</small></td></tr>
55
+ </tbody>
56
+ </table></div>
57
+ <p class="muted">六行 temperature 均省略，使用 provider default。旧版和新版不是完全相同的 prompt，也不是完全相同的输出预算。</p>
58
+ </section>
59
+
60
+ <section id="common">
61
+ <h2>2. 共同条件：题目与判分不换</h2>
62
+ <div class="tile"><dl>
63
+ <dt>任务范围</dt><dd>同一冻结清单中的 98 道模拟板 test：routing 42、placement 31、combined 17、repair 8。每个条件一题一次，seed=1。</dd>
64
+ <dt>原始任务一致性</dt><dd>历史与当前 frozen-tasks.json 字节一致；SHA256：<code>bd37c8ccf04560a21ebddc3adab78ec2103f6b943a92bae128e02a19979c0cb8</code>。</dd>
65
+ <dt>模型观察</dt><dd>权威板状态、可见坐标、DRC、未连接 nets，以及 coarse intent checks。<b>关系写入不等于禁止读取坐标。</b>coarse 指任务 intent-check 的反馈粒度，不表示求解器的所有数值反馈都被隐藏。</dd>
66
+ <dt>工具责任</dt><dd>R2：模型给出具体几何动作，工具应用该动作。RAP：模型选择关系意图，原求解器联合放置并执行布线。两者使用同一任务定义和 clean-pass 判分标准。</dd>
67
+ <dt>主评分</dt><dd><code>clean_pass = 零 DRC 违规 ∧ 所需 nets 全部���通 ∧ 全部 task intent checks 通过</code>。判断实际最终板图，不按模型说“完成”来计分。</dd>
68
+ <dt>停止规则</dt><dd><code>finish</code> 可以提前结束；否则达到 5 次模型调用上限后评分最后板图，不从中间轨迹挑最好的一版。错误动作和结束调用同样消耗预算。</dd>
69
+ <dt>Secondary 指标</dt><dd>当前四组不执行额外的 post-placement routability secondary。它不进入上述 clean-pass 条件；因此不要把旧表全部 secondary 或 wall time 都当作与当前完全等价。</dd>
70
+ <dt>异常 / 复用</dt><dd>当前四组各 98 个有效结果、0 unknown。基础设施错误与模型未通过分开记录。旧结果保留；Harbor R2 复用 1 题、新跑 97 题，Harbor RAP 复用 2 题、新跑 96 题，Native R2 复用 smoke 8 题、新跑 90 题。</dd>
71
+ </dl></div>
72
+ <aside class="notice"><b>不要混淆三个“6 / 98 / 196”：</b>这份论文主表的已核查来源是 9 models × 98 道模拟 test × <b>6 个接口</b>，每格 seed=1。不是 6 个随机 seeds。完整 manifest 共 223 题；论文文字中的 196 = 98 模拟 test + 98 PCBWorld，但 PCBWorld 不在本页六行的成功率分母中。</aside>
73
+ </section>
74
+
75
+ <section id="details">
76
+ <h2>3. 逐行 Setup：点开查看</h2>
77
+ <details id="paper-r2"><summary>① 论文原版 R2 <span class="muted">原文本循环 + 低层几何操作</span></summary><div class="detail">
78
+ <p class="flow">system prompt 描述动作 → 模型输出 JSON 文本 → extract_action / validate → RawRung("R2") 执行 → 下轮重新生成状态与简短日志</p>
79
+ <dl>
80
+ <dt>Agent 做什么</dt><dd>选择元件的 x/y/rotation、铜线的 net/layer/points、via 位置和 unroute 对象，直接负责几何实现。</dd>
81
+ <dt>动作列表</dt><dd><code>place</code>、<code>draw</code>、<code>via</code>、<code>unroute</code>、<code>finish</code>；仅 task.kind 为 placement 时允许 <code>autoroute</code>。无 <code>python</code> 工具；它属于另一条 R2+ baseline。</dd>
82
+ <dt>交互 / 预算</dt><dd>最多 5 个模型回合，每次一个 JSON action；归档配置 output cap=1,200，effort 和 temperature 都省略。</dd>
83
+ <dt>历史策略</dt><dd>不是不断追加完整聊天记录。每轮构造 system + 当前公开状态，附上精简的历史动作日志；日志最多保留最后 12 条。本实验最多 5 轮。</dd>
84
+ <dt>为什么纳入</dt><dd>它是论文原本的坐标 baseline，也是“文本协议、没有 RAP 关系工具”的历史参考。</dd>
85
+ </dl>
86
+ <p class="sources">证据：<a href="raw/paper_r2.tar.gz">历史逐题数据</a> · <a href="implementation/vendor/rap-method/pcb/experiments/01-ladder/agent.py">原 agent loop</a> · <a href="implementation/vendor/rap-method/pcb/experiments/01-ladder/rungs/raw.py">RawRung</a>。</p>
87
+ </div></details>
88
+
89
+ <details id="paper-rap"><summary>② 论文原版 RAP / R4b <span class="muted">原文本循环 + 完整关系 bundle</span></summary><div class="detail">
90
+ <p class="flow">关系协议提示 → JSON submit(bundle) → 原 parser / validator → DeclarativeRung → 联合放置与布线 → 公开实现反馈</p>
91
+ <dl>
92
+ <dt>Agent 做什么</dt><dd>选择命名对象之间的 proximity、alignment、symmetry、edge、keepout、routing 等意图，决定完整 bundle，而不写具体放置坐标和铜线路径。</dd>
93
+ <dt>动作列表</dt><dd><code>{"action":"submit","bundle":{…}}</code> 和 <code>{"action":"finish"}</code>。每次 submit 替换整个 bundle，从任务初始板重新求解，不是在上一版几何上直接打补丁。</dd>
94
+ <dt>确定性工具做什么</dt><dd>原 bundle compiler 将意图变成约束；solver 联合实现 placement，再执行 routing。距离等通过原有 class 映射到实际数值。</dd>
95
+ <dt>交互 / 历史</dt><dd>与历史 R2 同一文本循环、5 轮、1,200 cap、effort 省略。每轮包括当前板图、当前 bundle 和精简日志。</dd>
96
+ <dt>结果定位</dt><dd>这是论文 Luna 的 94/98、95.9%、591,725 tokens 来源。旧结果锁定，不以新版结果覆盖。</dd>
97
+ </dl>
98
+ <p class="sources">证据：<a href="raw/paper_rap.tar.gz">历史 R4b 逐题数据（本发布仅含选定组）</a> · <a href="implementation/vendor/rap-method/pcb/experiments/01-ladder/rungs/declarative.py">原 DeclarativeRung</a> · <a href="metadata/historical-sources.json">归档成员与 hashes</a>。</p>
99
+ </div></details>
100
+
101
+ <details id="native-r2"><summary>③ Native V2 + R2 <span class="muted">保留 native harness，换成坐标工具</span></summary><div class="detail">
102
+ <p class="flow">messages + strict tools schema → function_call → ToolRegistry → 原 R2 执行器 → function_call_output → 下一次决策</p>
103
+ <dl>
104
+ <dt>这不是哪一种</dt><dd>不是 Codex CLI，也不是“什么工具都没有”。它使用自定义 native 循环，提供 R2 坐���函数，不提供 RAP 的 submit_intent。</dd>
105
+ <dt>动作 / 参数</dt><dd>与 R2 对应的 <code>place / draw / via / unroute / finish</code>，placement 类任务加 <code>autoroute</code>。原动作的 action selector 改由函数名表达。Native schema 要求封闭、类型化参数；例如 draw 的 points 限 2–30 个点。</dd>
106
+ <dt>协议控制</dt><dd><code>tool_choice=required</code>、<code>parallel_tool_calls=false</code>；每轮恰好一个有效 function call 才执行动作。错误参数消耗该轮，不自动替模型补工程选择。</dd>
107
+ <dt>上下文</dt><dd>保留 Responses 返回项及后续 function_call_output；包括返回的 reasoning 项。不是旧版“当前状态 + 精简日志”的重建方式。</dd>
108
+ <dt>额外工具 / 设置</dt><dd>无 shell、Python sandbox、文件操作工具。Luna / medium / output cap 8,192 / temperature 省略；每题最多 5 次，单次尝试，无自动 API 重试。</dd>
109
+ </dl>
110
+ <p class="sources">证据：<a href="implementation/src/rap_native_v2/domains/e1_coordinate.py">native coordinate adapter</a> · <a href="implementation/src/rap_native_v2/runtime.py">native runtime</a> · <a href="evidence/e1-native-v2-r2-control-smoke-luna-20261002/C002/episode.json">C002 完整 episode</a> · <a href="evidence/e1-native-v2-r2-control-smoke-luna-20261002/C002/run-config.json">配置</a>。</p>
111
+ </div></details>
112
+
113
+ <details id="native-rap"><summary>④ Native V2 + RAP <span class="muted">同一 native harness + RAP 关系工具</span></summary><div class="detail">
114
+ <p class="flow">messages + V2 schema → submit_intent(bundle) → ToolRegistry → 原 R4b 实现器 → 新状态与公开反馈 → 下一次决策</p>
115
+ <dl>
116
+ <dt>实际暴露工具</dt><dd>只有 <code>submit_intent</code> 和 <code>finish</code>。目前没有独立的 inspect_artifact、revise_intent 或 accept 工具；新的公开状态随动作结果自动返回，修改通过重新提交完整 bundle 完成。</dd>
117
+ <dt>Schema V2 是什么</dt><dd>复用可共享的 schema 定义、紧凑表达 nullable 字段；仍由本地原始 schema 和领域 validator 校验。V2 不表示换了求解器，也不会替模型猜选元件或填充工程决策。</dd>
118
+ <dt>工具实现</dt><dd>调用原 DeclarativeRung，bundle 重提时从初始板重新实现。输出仍必须满足原有 named-object / relation 规则，不能直接写坐标补丁。</dd>
119
+ <dt>与 Native R2 相同</dt><dd>同一 runtime、模型路由、medium、8,192 cap、temperature 省略、5 次上限、累积历史策略、最终 clean-pass checker；都没有 shell/Python。</dd>
120
+ <dt>有意不同</dt><dd>工具集合、接口说明和动作粒度：R2 一次改一个几何动作，RAP 一次可以表达一整个 bundle。所以是接口方案对照，不是“单个函数做等量工作”的对照。</dd>
121
+ </dl>
122
+ <p class="sources">证据：<a href="implementation/src/rap_native_v2/domains/e1.py">E1 native RAP adapter</a> · <a href="implementation/src/rap_native_v2/schema.py">V2 schema</a> · <a href="evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/native_v2/C002/episode.json">C002 完整 episode</a> · <a href="evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/native_v2/C002/run-config.json">配置</a>。</p>
123
+ </div></details>
124
+
125
+ <details id="harbor-r2"><summary>⑤ Harbor Codex + R2 <span class="muted">真实 coding-agent pipeline + 坐标 MCP 工具</span></summary><div class="detail">
126
+ <p class="flow">Harbor Job → 官方 Codex adapter / CLI → 工具发现与 MCP 调用 → host-side R2 板状态 → host-only verifier</p>
127
+ <dl>
128
+ <dt>框架版本</dt><dd>Harbor 0.23.0；官方 Codex adapter；Codex CLI 0.157.1。不是把自定义 native loop 叫作 Codex。</dd>
129
+ <dt>领域工具</dt><dd>MCP 暴露与原 R2 对应的坐标函数。服务器虽名为 <code>rap</code>，这一行不提供关系 bundle 接口；服务器名称不代表启用了 RAP 方法。</dd>
130
+ <dt>Coding 能力</dt><dd>保留 shell / file / Python 标准库 scratch 能力。权威板图由 host-side session 持有；本地文件只作草稿，不能编辑 JSON 文件绕过板图工具或最终 checker。</dd>
131
+ <dt>预算怎样算</dt><dd>最多 5 次上游模型调用；工具发现、scratch、只推理或只输出自然语言的响应也计入这 5 次。每个模型响应最多执行一个领域动作，因此 5 次模型调用不一定意味着 5 次有效改板。</dd>
132
+ <dt>本次运行设置</dt><dd>实际请求 medium / cap 8,192 / temperature 省略；4 个 episode 并行派发。Harbor 每个 job 1 trial、1 attempt，重试关闭。旧 C001 实际请求同为 medium，离线兼容核对后保留其失败结果。</dd>
133
+ <dt>环境边界</dt><dd>自定义非 root chroot，使用 host network；不挂载宿主备份、真实 procfs 或评分器。不是 Docker 等价的强隔离。agent timeout 600s、verifier 120s；配置关闭 web_search / multi_agent。结果不能泛化为“无预算、无限工具访问的 Codex 上限”。</dd>
134
+ </dl>
135
+ <p class="sources">证据：<a href="implementation/src/rap_harbor/run.py">Harbor runner</a> · <a href="implementation/src/rap_harbor/e1.py">R2 MCP adapter</a> · <a href="evidence/e1-harbor-codex-r2-full-luna-20261003/C002/private/run-settings.json">C002 设置</a> · <a href="evidence/e1-harbor-codex-r2-full-luna-20261003/C002/private/mcp-tools.json">MCP schemas</a> · <a href="evidence/e1-harbor-codex-r2-full-luna-20261003/plan.json">冻结批量计划 / 复用审计</a>。</p>
136
+ </div></details>
137
+
138
+ <details id="harbor-rap"><summary>⑥ Harbor Codex + RAP <span class="muted">同一 coding-agent pipeline + RAP MCP 工具</span></summary><div class="detail">
139
+ <p class="flow">Harbor / Codex → 发现 RAP MCP 工具 → submit_intent(bundle) → 原 R4b → 公开反馈 → Codex 继续决策</p>
140
+ <dl>
141
+ <dt>和上一行一样</dt><dd>同一 Harbor/Codex 版本、模型、medium、8,192 cap、5 次调用预算、scratch 权限、chroot 环境和最终 verifier。</dd>
142
+ <dt>有意更换的部分</dt><dd>领域工具变成 <code>submit_intent</code> + <code>finish</code>，以及相应的关系意图说明。板图修改交给 RAP 的原实现器；这不是让 Codex 自己实现求解器。</dd>
143
+ <dt>和 Native RAP 一样</dt><dd>同一 E1NativeAdapter / 原 DeclarativeRung 负责 bundle、求解和 clean-pass。隐藏评分不是 agent 可调用的 MCP 工具。</dd>
144
+ <dt>和 Native RAP 不同</dt><dd>额外的 Codex 系统提示、工具发现与 coding 工具；由 Codex 管理会话，不是原 native runtime。MCP 发布 schema 展开本地引用、紧凑化 nullable 标量，以便 Codex 正确展示字段；服务端仍使用原 V2 registry 校验。</dd>
145
+ <dt>预算与计费</dt><dd>工具发现和 scratch 消耗同一 5 次模型调用预算，所有这些上下文都计入 provider token 用量；不只统计 bundle 中的字数。</dd>
146
+ <dt>本次来源</dt><dd>同条件 C002/C003 两题复用，96 题新增，最终 98 题全部闭合。达到调用上限时的最后板图仍正常评分，不能把预算耗尽统一计成基础设施错误。</dd>
147
+ </dl>
148
+ <p class="sources">证据：<a href="implementation/src/rap_harbor/bridge.py">MCP / metered bridge</a> · <a href="implementation/src/rap_harbor/verifier.py">host-only verifier</a> · <a href="evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/harbor_codex_rap/C005/private/run-settings.json">C005 设置</a> · <a href="evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/harbor_codex_rap/C005/private/mcp-tools.json">MCP schemas</a> · <a href="evidence/e1-full-native-v2-vs-harbor-rap-luna-20261002/plan.json">冻结批量计划</a>。</p>
149
+ </div></details>
150
+ <p class="muted">术语提示：Responses 协议实际使用 <code>function_call</code> / <code>function_call_output</code>；不能把概念性的 Chat Completions <code>role=tool</code> 示例误当成本次保存的原始请求格式。</p>
151
+ </section>
152
+
153
+ <section id="comparability">
154
+ <h2>4. 哪些比较能回答什么问题？</h2>
155
+ <div class="scroll"><table>
156
+ <thead><tr><th scope="col">配对</th><th scope="col">主要改变</th><th scope="col">可以说明</th><th scope="col">不能直接说明</th></tr></thead>
157
+ <tbody>
158
+ <tr><th scope="row">① ↔ ②<br>历史 R2 / RAP</th><td>写接口、说明、几何实现的责任边界</td><td>原论文文本循环下，RAP 接口方案相对 R2 的表现</td><td>不是 native calling 效果，也不是 coding-agent harness 优劣</td></tr>
159
+ <tr><th scope="row">③ ↔ ④<br>Native R2 / RAP</th><td>同 native loop，替换领域工具与说明</td><td>固定 native 运行设置时，RAP 接口是否有效</td><td>动作工作量不等价：一个几何动作 ≠ 一整个 bundle</td></tr>
160
+ <tr><th scope="row">⑤ ↔ ⑥<br>Harbor R2 / RAP</th><td>同 coding pipeline，替换领域工具与说明</td><td>给 Harbor Codex 提供 RAP 工具是否有收益</td><td>不能声称纯粹是“框架名字”的收益；领域工具能力也变了</td></tr>
161
+ <tr><th scope="row">③ ↔ ⑤；④ ↔ ⑥</th><td>框架、会话组织、提示、scratch 工具、schema 展示</td><td>同任务 / 当前模型预算下的完整 pipeline 表现</td><td>不是工具权限完全一致的纯 harness 因果实验</td></tr>
162
+ <tr><th scope="row">① ↔ ③；② ↔ ④</th><td>文本 → native，兼有 cap、effort、prompt、schema 与历史改变</td><td>旧结果与当前实现的描述性对照</td><td>不能将全部 token / 成功率变化归因于 native tool calling</td></tr>
163
+ </tbody>
164
+ </table></div>
165
+ <div class="notice soft"><b>目前最直接的“工具可迁移”证据：</b>在同一 Harbor pipeline 内，R2 → RAP 为 24/98 → 90/98，增加 67.35 个百分点，tokens 减少 25.47%。这支持 RAP 工具在 coding-agent pipeline 内有用；同时保留动作粒度与单 seed 的解释限制。旧版 RAP 94/98 仍高于当前 91/98 和 90/98，不宣称新版超过历史结果。</div>
166
+ </section>
167
+
168
+ <section id="tokens">
169
+ <h2>5. Tokens 到底统计了什么？</h2>
170
+ <p><code>总 tokens = Σ 每次上游调用的 input_tokens + output_tokens</code>。旧数据在 episode 中写作 <code>tokens_in + tokens_out</code>，本页历史 R2 与 RAP 的 episode 总数已与逐调用 ledger 对齐。</p>
171
+ <ul>
172
+ <li><b>计入：</b>系统提示、任务与板状态、工具 schema / 工具发现、重复历史、工具返回和模型输出；Harbor 的 coding-agent 提示与 scratch 输出同样计入。</li>
173
+ <li><b>不重复加：</b>cached input 已包含在 input，reasoning output 已包含在 output。缓存费用优惠不表示缓存 tokens 从用量中扣除。</li>
174
+ <li><b>不混作 token：</b>求解器内部 CPU 运算不消耗模型 tokens；其发回模型的文本会消耗输入 tokens。</li>
175
+ <li><b>上限不是实耗：</b>8,192 是每次输出上限，不是每题总 token 上限，更不是每次请求一定用满。输入和累积上下文另计。</li>
176
+ <li><b>为何旧版与新版用量不同：</b>旧版每轮重建精简上下文；native 回放工具对话；Harbor 又增加 coding-agent 层。它们都是已存在的 setup 差异，不能仅凭总 tokens 判定模型能力强弱。</li>
177
+ </ul>
178
+ </section>
179
+
180
+ <section id="evidence">
181
+ <h2>6. 来源与核查入口</h2>
182
+ <p>本页汇总六组对照；历史比较元数据另含其他四个 baseline 的汇总值，但其逐题数据不在本发布中。没有新跑模型，没有重算成功率，也没有改旧 raw data。</p>
183
+ <ul>
184
+ <li><a href="metadata/historical-comparison.json">历史 / 当前指标、配置与逐题差异 JSON</a> · <a href="metadata/historical-sources.json">归档来源与 SHA256</a></li>
185
+ <li><a href="tasks/frozen-tasks.json">原始冻结 manifest</a> · <a href="metadata/historical-comparison.json">历史汇总证据（非完整历史 HTML）</a></li>
186
+ <li><a href="report.html">当前四组完整报告</a> · <a href="evidence/e1-harbor-codex-r2-full-luna-20261003/summary.json">当前四组逐题索引</a></li>
187
+ <li><a href="implementation/integrations/harbor/README.md">Harbor 集成说明</a> · <a href="implementation/src/rap_native_v2/responses.py">当前 native 请求与 token 记录实现</a></li>
188
+ </ul>
189
+ <p class="sources">历史 cap / effort 结论来自归档配置，不把“省略 effort”推定为某个已知默认值。当前指标来自已完成的冻结批次。下载整个发布目录后，相对链接可用；网页托管和数据下载是不同功能。历史汇总证据（非完整历史 HTML） 原样保留，其内部旧路径未重写。</p>
190
+ </section>
191
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+ "family": "0bf704f23e634712",
2461
+ "split": "dev",
2462
+ "suite": "repair",
2463
+ "template": "repair-routing-violation"
2464
+ },
2465
+ "X009": {
2466
+ "difficulty": "hard",
2467
+ "family": "593839d438aa0b82",
2468
+ "split": "test",
2469
+ "suite": "repair",
2470
+ "template": "repair-routing-violation"
2471
+ },
2472
+ "X010": {
2473
+ "difficulty": "hard",
2474
+ "family": "a8901c24f4b4d350",
2475
+ "split": "test",
2476
+ "suite": "repair",
2477
+ "template": "repair-routing-violation"
2478
+ }
2479
+ },
2480
+ "min_checks_per_task": 1,
2481
+ "n_headline_tasks": 120,
2482
+ "n_tasks": 223,
2483
+ "suites": {
2484
+ "combined": 20,
2485
+ "pcbworld": 98,
2486
+ "placement": 40,
2487
+ "realboard": 5,
2488
+ "repair": 10,
2489
+ "routing": 50
2490
+ },
2491
+ "templates": {
2492
+ "align-row": [
2493
+ "P037",
2494
+ "P038",
2495
+ "P039",
2496
+ "P040"
2497
+ ],
2498
+ "combined-full-board": [
2499
+ "C001",
2500
+ "C002",
2501
+ "C003",
2502
+ "C004",
2503
+ "C005",
2504
+ "C006",
2505
+ "C007",
2506
+ "C008",
2507
+ "C009",
2508
+ "C010",
2509
+ "C011",
2510
+ "C012",
2511
+ "C013",
2512
+ "C014",
2513
+ "C015",
2514
+ "C016",
2515
+ "C017",
2516
+ "C018",
2517
+ "C019",
2518
+ "C020"
2519
+ ],
2520
+ "connector-edge": [
2521
+ "P009",
2522
+ "P010",
2523
+ "P011",
2524
+ "P012",
2525
+ "P013",
2526
+ "P014"
2527
+ ],
2528
+ "decap-near-pin": [
2529
+ "P001",
2530
+ "P002",
2531
+ "P003",
2532
+ "P004",
2533
+ "P005",
2534
+ "P006",
2535
+ "P007",
2536
+ "P008"
2537
+ ],
2538
+ "grouping-cluster": [
2539
+ "P027",
2540
+ "P028",
2541
+ "P029",
2542
+ "P030",
2543
+ "P031",
2544
+ "P032"
2545
+ ],
2546
+ "pcbworld-d3a": [
2547
+ "W001",
2548
+ "W002",
2549
+ "W003",
2550
+ "W004",
2551
+ "W005",
2552
+ "W006",
2553
+ "W007",
2554
+ "W008",
2555
+ "W009",
2556
+ "W010",
2557
+ "W011",
2558
+ "W012",
2559
+ "W013",
2560
+ "W014",
2561
+ "W015",
2562
+ "W016",
2563
+ "W017",
2564
+ "W018",
2565
+ "W019",
2566
+ "W020",
2567
+ "W021",
2568
+ "W022",
2569
+ "W023",
2570
+ "W024",
2571
+ "W025",
2572
+ "W026",
2573
+ "W027",
2574
+ "W028",
2575
+ "W029",
2576
+ "W030",
2577
+ "W031",
2578
+ "W032",
2579
+ "W033",
2580
+ "W034",
2581
+ "W035",
2582
+ "W036",
2583
+ "W037",
2584
+ "W038",
2585
+ "W039",
2586
+ "W040",
2587
+ "W041",
2588
+ "W042",
2589
+ "W043",
2590
+ "W044",
2591
+ "W045",
2592
+ "W046",
2593
+ "W047",
2594
+ "W048",
2595
+ "W049",
2596
+ "W050",
2597
+ "W051",
2598
+ "W052",
2599
+ "W053",
2600
+ "W054",
2601
+ "W055",
2602
+ "W056",
2603
+ "W057",
2604
+ "W058",
2605
+ "W059",
2606
+ "W060",
2607
+ "W061",
2608
+ "W062",
2609
+ "W063",
2610
+ "W064",
2611
+ "W065",
2612
+ "W066",
2613
+ "W068",
2614
+ "W069",
2615
+ "W070",
2616
+ "W071",
2617
+ "W072",
2618
+ "W073",
2619
+ "W074",
2620
+ "W075",
2621
+ "W076",
2622
+ "W077",
2623
+ "W078",
2624
+ "W079",
2625
+ "W080",
2626
+ "W081",
2627
+ "W082",
2628
+ "W083",
2629
+ "W084",
2630
+ "W085",
2631
+ "W086",
2632
+ "W087",
2633
+ "W088",
2634
+ "W089",
2635
+ "W090",
2636
+ "W091",
2637
+ "W092",
2638
+ "W093",
2639
+ "W094",
2640
+ "W095",
2641
+ "W097",
2642
+ "W098",
2643
+ "W099",
2644
+ "W100"
2645
+ ],
2646
+ "realboard-decoupling": [
2647
+ "B001",
2648
+ "B002",
2649
+ "B003",
2650
+ "B004",
2651
+ "B005"
2652
+ ],
2653
+ "repair-placement-violation": [
2654
+ "X001",
2655
+ "X002",
2656
+ "X003",
2657
+ "X004",
2658
+ "X005"
2659
+ ],
2660
+ "repair-routing-violation": [
2661
+ "X006",
2662
+ "X007",
2663
+ "X008",
2664
+ "X009",
2665
+ "X010"
2666
+ ],
2667
+ "rf-keepout": [
2668
+ "P015",
2669
+ "P016",
2670
+ "P017",
2671
+ "P018",
2672
+ "P019",
2673
+ "P020"
2674
+ ],
2675
+ "routing-crossings": [
2676
+ "R001",
2677
+ "R002",
2678
+ "R003",
2679
+ "R004",
2680
+ "R005",
2681
+ "R006",
2682
+ "R007",
2683
+ "R008",
2684
+ "R009",
2685
+ "R010",
2686
+ "R011",
2687
+ "R012",
2688
+ "R013",
2689
+ "R014",
2690
+ "R015",
2691
+ "R016",
2692
+ "R017",
2693
+ "R018",
2694
+ "R019",
2695
+ "R020",
2696
+ "R021",
2697
+ "R022",
2698
+ "R023",
2699
+ "R024",
2700
+ "R025",
2701
+ "R026",
2702
+ "R027",
2703
+ "R028",
2704
+ "R029",
2705
+ "R030",
2706
+ "R031",
2707
+ "R032",
2708
+ "R033",
2709
+ "R034",
2710
+ "R035",
2711
+ "R036",
2712
+ "R037",
2713
+ "R038",
2714
+ "R039",
2715
+ "R040",
2716
+ "R041",
2717
+ "R042",
2718
+ "R043",
2719
+ "R044",
2720
+ "R045",
2721
+ "R046",
2722
+ "R047",
2723
+ "R048",
2724
+ "R049",
2725
+ "R050"
2726
+ ],
2727
+ "symmetry-pairs": [
2728
+ "P033",
2729
+ "P034",
2730
+ "P035",
2731
+ "P036"
2732
+ ],
2733
+ "thermal-keepout": [
2734
+ "P021",
2735
+ "P022",
2736
+ "P023",
2737
+ "P024",
2738
+ "P025",
2739
+ "P026"
2740
+ ]
2741
+ },
2742
+ "waived_no_check_suites": [
2743
+ "pcbworld"
2744
+ ]
2745
+ }
e1-luna-six-way-20261003/tasks/selected-task-ids.json ADDED
@@ -0,0 +1,100 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ "C001",
3
+ "C002",
4
+ "C003",
5
+ "C005",
6
+ "C006",
7
+ "C007",
8
+ "C008",
9
+ "C009",
10
+ "C010",
11
+ "C012",
12
+ "C013",
13
+ "C014",
14
+ "C015",
15
+ "C016",
16
+ "C018",
17
+ "C019",
18
+ "C020",
19
+ "P001",
20
+ "P002",
21
+ "P004",
22
+ "P005",
23
+ "P006",
24
+ "P007",
25
+ "P009",
26
+ "P010",
27
+ "P011",
28
+ "P013",
29
+ "P014",
30
+ "P015",
31
+ "P016",
32
+ "P018",
33
+ "P019",
34
+ "P021",
35
+ "P022",
36
+ "P023",
37
+ "P024",
38
+ "P025",
39
+ "P026",
40
+ "P027",
41
+ "P029",
42
+ "P030",
43
+ "P031",
44
+ "P033",
45
+ "P034",
46
+ "P035",
47
+ "P036",
48
+ "P038",
49
+ "P039",
50
+ "R001",
51
+ "R002",
52
+ "R003",
53
+ "R005",
54
+ "R006",
55
+ "R007",
56
+ "R008",
57
+ "R009",
58
+ "R011",
59
+ "R012",
60
+ "R013",
61
+ "R014",
62
+ "R015",
63
+ "R016",
64
+ "R017",
65
+ "R019",
66
+ "R020",
67
+ "R021",
68
+ "R022",
69
+ "R023",
70
+ "R025",
71
+ "R026",
72
+ "R027",
73
+ "R028",
74
+ "R029",
75
+ "R031",
76
+ "R032",
77
+ "R033",
78
+ "R034",
79
+ "R035",
80
+ "R037",
81
+ "R038",
82
+ "R039",
83
+ "R040",
84
+ "R041",
85
+ "R043",
86
+ "R044",
87
+ "R045",
88
+ "R046",
89
+ "R047",
90
+ "R049",
91
+ "R050",
92
+ "X001",
93
+ "X002",
94
+ "X004",
95
+ "X005",
96
+ "X006",
97
+ "X007",
98
+ "X009",
99
+ "X010"
100
+ ]
e1-luna-six-way-20261003/tasks/tasks.jsonl ADDED
The diff for this file is too large to render. See raw diff
 
verify_release.py ADDED
@@ -0,0 +1,93 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ """Offline integrity and metric audit for the public six-arm release (stdlib only)."""
2
+ from collections import Counter
3
+ import hashlib
4
+ from html.parser import HTMLParser
5
+ import json
6
+ from pathlib import Path
7
+ import re
8
+ import tarfile
9
+
10
+
11
+ def main():
12
+ root = Path(__file__).resolve().parent
13
+ release = root / 'e1-luna-six-way-20261003'
14
+ def sha(data):
15
+ return hashlib.sha256(data).hexdigest()
16
+ checksums = {}
17
+ for line in (root / 'SHA256SUMS').read_text().splitlines():
18
+ expected, name = line.split(' ', 1)
19
+ assert not Path(name).is_absolute() and '..' not in Path(name).parts
20
+ assert sha((root / name).read_bytes()) == expected, name
21
+ checksums[name] = expected
22
+ manifest = json.loads((release / 'manifest.json').read_text())
23
+ expected_members = {(m['archive'], m['path']): m for m in manifest['members'] if 'archive' in m}
24
+ seen, archive_totals = set(), {}
25
+ credential = re.compile(rb'\b(?:hf_[A-Za-z0-9]{10,}|sk-[A-Za-z0-9_-]{10,})\b')
26
+ for name in checksums:
27
+ path = root / name
28
+ if path.suffix != '.gz':
29
+ assert not credential.search(path.read_bytes()), 'Credential-like string in ' + name
30
+ for archive_path in sorted((release / 'raw').glob('*.tar.gz')):
31
+ arm = archive_path.name.removesuffix('.tar.gz')
32
+ totals = Counter()
33
+ with tarfile.open(archive_path, 'r:gz') as archive:
34
+ for member in archive:
35
+ assert member.isfile() and not Path(member.name).is_absolute() and '..' not in Path(member.name).parts
36
+ key = (str(archive_path.relative_to(release)), member.name)
37
+ assert key not in seen and key in expected_members
38
+ seen.add(key)
39
+ raw = archive.extractfile(member).read()
40
+ assert sha(raw) == expected_members[key]['published_sha256'], key
41
+ assert not credential.search(raw), 'Credential-like string in ' + member.name
42
+ value = json.loads(raw)
43
+ if member.name.endswith('/episode.json') or (arm.startswith('harbor') and member.name.endswith('/summary.json')):
44
+ totals['n'] += 1
45
+ if arm.startswith('paper'):
46
+ passed, tokens, calls = value['clean_pass'], value['tokens_in'] + value['tokens_out'], value['llm_calls']
47
+ elif arm.startswith('native'):
48
+ passed, tokens, calls = value['status'] == 'pass', value['usage']['total_tokens'], value['usage']['model_responses']
49
+ else:
50
+ passed, tokens, calls = value['grade']['status'] == 'pass', value['tokens']['total_tokens'], value['api_calls']
51
+ totals['passed'] += int(passed)
52
+ totals['total_tokens'] += tokens
53
+ totals['model_calls'] += calls
54
+ archive_totals[arm] = totals
55
+ assert seen == set(expected_members)
56
+ rows = [json.loads(line) for line in (release / 'results.jsonl').read_text().splitlines()]
57
+ assert len(rows) == len({(r['arm'], r['task']) for r in rows}) == 588
58
+ summary = json.loads((release / 'summary.json').read_text())
59
+ tasks = set(json.loads((release / 'tasks/selected-task-ids.json').read_text()))
60
+ assert len(tasks) == 98
61
+ assert {json.loads(line)['tid'] for line in (release / 'tasks/tasks.jsonl').read_text().splitlines()} == tasks
62
+ for arm, expected in summary['groups'].items():
63
+ group = [r for r in rows if r['arm'] == arm]
64
+ assert len(group) == 98 and {r['task'] for r in group} == tasks
65
+ assert all(r['total_tokens'] == r['input_tokens'] + r['output_tokens'] for r in group)
66
+ totals = {'n': len(group), 'passed': sum(r['status'] == 'pass' for r in group),
67
+ 'total_tokens': sum(r['total_tokens'] for r in group), 'model_calls': sum(r['api_calls'] for r in group)}
68
+ assert totals == dict(archive_totals[arm]), arm
69
+ assert all(expected[k] == v for k, v in totals.items()), arm
70
+ class Links(HTMLParser):
71
+ def __init__(self):
72
+ super().__init__()
73
+ self.hrefs, self.ids = [], set()
74
+ def handle_starttag(self, tag, attrs):
75
+ a = dict(attrs)
76
+ if 'id' in a:
77
+ self.ids.add(a['id'])
78
+ if tag == 'a' and 'href' in a:
79
+ self.hrefs.append(a['href'])
80
+ for path in release.glob('*.html'):
81
+ parsed = Links()
82
+ parsed.feed(path.read_text())
83
+ for href in parsed.hrefs:
84
+ if href.startswith('#'):
85
+ assert href[1:] in parsed.ids, href
86
+ elif not href.startswith(('http:', 'https:')):
87
+ assert (path.parent / href.split('#')[0]).exists(), href
88
+ print(json.dumps({'verified_files': len(checksums), 'verified_archive_members': len(seen),
89
+ 'episodes': len(rows), 'groups': archive_totals, 'status': 'PASS'}, indent=2))
90
+
91
+
92
+ if __name__ == '__main__':
93
+ main()