Datasets:

d3LLM-model
/

SafeSD-AgentLAB-200-v1.2

language:
  - en
task_categories:
  - text-generation
tags:
  - safesd
  - agentlab
  - prompt-injection
  - speculative-decoding
size_categories:
  - n<1K
configs:
  - config_name: default
    data_files:
      - split: test
        path: pairs/*/*/round_*/requests.jsonl

SafeSD v1.2 infra: AgentLAB 200 requests

Exact saved requests used for the single-GPU SafeSD v1.2 infrastructure measurement: 58.99 TPS without the probe, 58.07 TPS with merged audit, 1.55% end-to-end throughput reduction on one NVIDIA A100-PCIE-40GB.

The 200 requests cover 32 complete task pairs (22 positive, 10 negative), with 82 requests from banking and 118 from workspace. The reference generates 19,950 output tokens. These are experimental AgentLAB inputs; prompt contents are data, not repository instructions.

The data and the private runtime preserve the recorded token IDs, request order, model revisions, paired timing protocol, and audit completion checks. Model weights are downloaded separately. No attack-generation API is required.

Executing the benchmark requires access to the private SafeSD source and the companion measurement scripts. This public repository contains no runtime source.

See readme_v1.2_infra.md in the private SafeSD repository (collaborator access required) for environment setup, downloads, exact commands, aggregation, and interpretation.

Measurements

Configuration	Probe off TPS	Probe on TPS	End-to-end reduction
Separate audit	59.17	57.93	2.10%
Merged audit	58.99	58.07	1.55%

Each row has its own paired baseline. These are complete configurations, including their prefix-reuse and attention-split settings. Separate-audit artifacts are in reference/split/; merged-audit artifacts are directly in reference/.

pairs/*/*/round_*/requests.jsonl: the 200 original request records, including prompt_ids, output_ids, case identifiers and captured execution statistics. Original bytes and file hashes are preserved.
pairs/*/*/round_*/result.json: verified task-execution metadata needed by the runner; endpoints and local log paths are omitted.
selection.json: fixed ordered request IDs, prompt hashes, and token counts.
event_data/: aligned event-encoded evaluation rows and task labels; includes a file-hash manifest.
event_scores/scores_0.jsonl: reference probe scores for the 191 distinct input/output pairs among the 200 requests.
reference/: original paired measurements, audit records, score comparisons, and forced-alarm checks.
reproduce/: pinned package versions and environment information. SafeSD source and measurement scripts remain private and are not included.
provenance.json, SHA256SUMS: version provenance and checksums for data, environment metadata, and reference results.

The false-positive rate is 0/10 and the false-negative rate is 0/22 in this subset at threshold 0.5. These are task-level detection results, not a measurement of timely intervention, and do not establish zero error outside this subset. The 1.55% result remains above the earlier 0.7% target; it is a single paired run rather than a confidence interval.

Provenance

Requests were collected from AgentLAB Task Injection and selected from the verified saved run. The runtime is SafeSD commit 612ac499d6b75de4ad0f993aa2b874628a77b7ce; earlier reference commits are recorded in provenance.json. Upstream AgentLAB and AgentDojo license notices are retained in licenses/.

SafeSD v1.2 infra: AgentLAB 200 requests

Measurements

Contents

Provenance