# BEHAVIOR 2026 benchmark server An implemented, bounded debugging service for BEHAVIOR-1K v3.9.2: one fixed `turning_on_radio` public instance. **A two-control HTTP native smoke check has passed; this is not a full-challenge or model capability result.** - [Evaluation protocol](EVALUATION_PROTOCOL.md): schedule, sensors, actions and scoring. - [Native contract](environment/NATIVE_CONTRACT.md): source evidence and acceptance gates. - [Preparation](environment/README.md): licensed assets and runtime prerequisites. `server.py` is the only public entrypoint. `bench_server/` owns adapter, fixed protocol and private worker communication; `environment/` owns native runtime and readiness. Shared HTTP transport remains in `benchkit/sim_server`. Agent policy and result reports belong in `AgentPolicies//`. Historical `tasks.jsonl` is a **2025-only** inventory, not this service's schedule. ## Prepare without starting a simulator Use a dedicated persistent Python 3.11 / Isaac Sim 5.1 environment and exact source `b1979916ec1549b10a4e65e630bc6504a9af1b00`. Obtain the separate dataset license before downloading restricted assets. Install the native evaluator dependencies; no model policy server or training weights are needed. Paths are operator inputs. Run the file-only capture with the **native worker interpreter**, with this repository and the source's `OmniGibson`, `bddl3`, `joylo` on PYTHONPATH: ```sh python -B -m benchmarks.simBenchmarks.Behavior.environment.deployment \ --source-root /absolute/behavior-v3.9.2 \ --data-root /absolute/behavior-assets \ --receipts /absolute/extraction-receipts.json \ --output /absolute/new-behavior-deployment.json ``` The receipts JSON maps `behavior-1k-assets`, `omnigibson-robot-assets`, and `2026-challenge-task-instances` to extraction receipt paths. Each receipt binds `archive_sha256`, `source_commit`, and absolute extraction `target`. This establishes recorded archive/extraction provenance, **not every live asset byte**. Selected robot/task files, tracked native package sources, runtime versions, interpreter and module origins are rechecked before initialization. Stale/untracked source bytecode is rejected. Capture never imports OmniGibson or resets a scene. ## Launch Copy [server.example.json](server.example.json); replace all paths and the all-zero manifest digest, and select a GPU. A lightweight environment runs the service; `worker_python` chooses the separate native runtime. ```sh python -B -m benchmarks.simBenchmarks.Behavior.server \ --parameters /absolute/behavior-server.json --seed 20260922 --episodes 1 \ --port 8765 --output-dir /absolute/new-run/server ``` Provide `RSI_SIM_SERVER_TOKEN` through the environment as described in the [shared protocol](../SERVER_PROTOCOL.md). Startup/describe do not start SIM. Resetting a claimed case starts one isolated native worker; native shutdown cannot terminate the HTTP process. Use a matching trusted service client. ### Existing official assets without old extraction receipts An explicit `deployment_track: "official-live-assets/v1"` supports already licensed local assets without claiming their archive/extraction origin. Capture with the native worker interpreter and the same pinned v3.9.2 source: ```sh python -B -m benchmarks.simBenchmarks.Behavior.environment.deployment \ --deployment-track official-live-assets/v1 \ --source-root /absolute/behavior-v3.9.2 \ --data-root /absolute/existing-licensed-behavior-assets \ --output /absolute/new-behavior-live-deployment.json ``` Do not supply `--receipts` for this track. Add the identical `deployment_track` to the usual server JSON and use the new manifest path and its printed SHA256. Both the service and worker reject a manifest from the other track. The default remains `archive-receipts/v1`, preserving existing manifest and protocol identities. The live track verifies the fixed official source, interpreter, module origins, runtime versions, three asset directories and four selected task/robot file hashes before initialization. It records that original archive provenance and the complete asset inventory are **not verified**. Other live scene/texture assets remain native runtime inputs; a match on four files is not an attestation of all assets. No download, license acceptance or extraction receipt is fabricated. Its distinct public protocol is `behavior-2026-default-rgb-proprio-debug/official-live-assets/v2`. DefaultWrapper, 23-value actions, 61-value state, public radio instance 0/native301, timing, initialization, scoring and one-attempt semantics are unchanged. Existing native evidence for the archive track is not evidence for this new deployment track; perform the same two-control infrastructure acceptance before model evaluation. The actor supplies 23-value direct actions with prefix 1; optional motion guards are policy-owned. There is no expert, planner, oracle or automatic retry. Preserve initialization errors and uncertain execution. Cache is excluded from transfer; logs, controls, private outcome, three videos and cleanup receipts are retained. A two-control diagnostic is not a failed full episode or an SR measurement. ## Verified scope On 2026-09-23, the fixed public instance 0 (native 301) completed initialization, two public-state-derived hold controls and clean shutdown through this HTTP service. Each control advanced four physics ticks (eight total). Three 224×224 RGB cameras and the 61-value robot state were returned; three videos were retained. There were zero model calls. The diagnostic stopped deliberately after two controls, with `native_episode_complete: false`; its Q=0 is not a model failure or an SR estimate. No other task, full horizon or official RGB-D track was validated by this check. Tested service revision: `bb3c7e99053e669f7ca83a07c94fa9ef337e12ef`. Closed diagnostic report SHA-256: `3aeb3ad472d8f3d124c600d295a2ebd2a43d934900eecf0393cece821c7ab36a`. Raw no-model evidence remains in operator artifact storage, not participant model results. Every deployment still needs its own readiness check; a passing record is not proof that another host has the same assets, drivers or runtime.