| --- |
| pretty_name: RAP E1 Luna Six-Way Evaluation |
| language: |
| - en |
| - zh |
| tags: |
| - pcb |
| - agent-evaluation |
| - rap |
| - tool-use |
| size_categories: |
| - n<1K |
| configs: |
| - config_name: e1_luna_six_way |
| data_files: |
| - split: test |
| path: e1-luna-six-way-20261003/results.jsonl |
| --- |
| # RAP evaluation data |
|
|
| 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. |
|
|
| | Condition | Clean pass | Total tokens | Mean wall seconds / episode | |
| |---|---:|---:|---:| |
| | Historical R2 | 24/98 | 966,897 | 41.77 | |
| | Historical RAP / R4b | 94/98 | 591,725 | 9.13 | |
| | Native V2 + R2 | 29/98 | 2,244,091 | 22.53 | |
| | Native V2 + RAP | 91/98 | 1,577,621 | 15.19 | |
| | Harbor Codex + R2 | 24/98 | 6,992,722 | 71.78 | |
| | Harbor Codex + RAP | 90/98 | 5,211,733 | 62.44 | |
|
|
| ## Browse and download |
|
|
| - [Results and latency HTML](e1-luna-six-way-20261003/report.html) — download and open locally. |
| - [Setup summary HTML](e1-luna-six-way-20261003/setup-summary.html) — each row's tools, history, settings, and comparison limits. |
| - [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). |
| - [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. |
| - [Provenance and redaction manifest](e1-luna-six-way-20261003/manifest.json), [SHA256SUMS](SHA256SUMS), [offline validator](verify_release.py). |
|
|
| 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. |
|
|
| ## Scope and limitations |
|
|
| 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. |
|
|
| 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. |
|
|
| 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. |
|
|
| ## Sanitization |
|
|
| 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. |
|
|
| ## Reproduce the reported aggregates |
|
|
| 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. |
|
|
| No new license is asserted for upstream software or task sources by this data card; existing ownership and notices remain applicable. |
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