{"schema_version":"onlylabs.public_signal.v1","title":"Amazon (Nova) Repo: amazon-science/PurpleAudit","description":"Amazon (Nova) repo signal with public source context, captured evidence pages, related signals, and data-business radar classification.","url":"https://onlylabs.fyi/signals/c9033296-9906-4442-b6a9-e3223a4a0c89","json_url":"https://onlylabs.fyi/signals/c9033296-9906-4442-b6a9-e3223a4a0c89/signal.json","generated_at":"2026-10-24T20:23:53.662Z","evidence_latest_fetched_at":"2026-10-23T07:04:09.412271+00:00","signal_first_seen_at":"2026-10-23T07:00:36.960309+00:00","org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab","category_label":"Frontier lab","dossier_url":"https://onlylabs.fyi/labs/amazon","dossier_json_url":"https://onlylabs.fyi/labs/amazon/dossier.json"},"related_urls":{"signal":"https://onlylabs.fyi/signals/c9033296-9906-4442-b6a9-e3223a4a0c89","signal_json":"https://onlylabs.fyi/signals/c9033296-9906-4442-b6a9-e3223a4a0c89/signal.json","source":"https://github.com/amazon-science/PurpleAudit","lab_dossier":"https://onlylabs.fyi/labs/amazon","lab_dossier_json":"https://onlylabs.fyi/labs/amazon/dossier.json","analysis":"https://onlylabs.fyi/analysis/amazon","analysis_json":"https://onlylabs.fyi/analysis/amazon/analysis.json","analysis_evidence_json":"https://onlylabs.fyi/analysis/amazon/evidence.json","category":"https://onlylabs.fyi/frontier","category_json":"https://onlylabs.fyi/frontier.json","category_feed":"https://onlylabs.fyi/frontier/feed.xml","category_signals_json":"https://onlylabs.fyi/signals.json","topic":null,"topic_signals_json":null,"topic_feed":null,"data_business":null},"answer_pack":{"answer":"Amazon (Nova) published amazon-science/PurpleAudit (Python). 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PurpleAudit audits a multi-agent system (MAS) for task hijacking by indirect prompt injection. It runs your MAS on your tasks, plants an attacker's request in the output of the first tool your agents call, and measures the **attack success rate (ASR)** and **utility** (tasks still solved), with and without defenses. A red-team / blue-team co-evolution then finds stronger attacks against your MAS and a defense prompt that counters them. MASs built with **LangGraph, CrewAI or AG2** are audited without changing their code. Install ```bash cd PurpleAudit python3 -m venv .venv && source .venv/bin/activate pip install -e \".[langgraph,crewai]\" cp .env.example .env # then set OPENROUTER_API_KEY (or use AWS Bedrock, see docs/guide.md) ``` Quick start: audit an example [`examples/default/`](examples/default/) holds three small MASs: `langgraph_support` (LangGraph),..."},"evidence_pages":[],"related_signals":[{"id":"e90daecf-0838-4660-9a8e-000fd8d43ea5","url":"https://onlylabs.fyi/signals/e90daecf-0838-4660-9a8e-000fd8d43ea5","source_url":"https://github.com/amazon-science/agent-ecc","title":"amazon-science/agent-ecc","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-10-21T08:16:13+00:00","first_seen_at":"2026-10-22T07:00:37.834063+00:00","date_source":"source"},{"id":"81e2f348-2b12-4eb1-9302-31bee0875cb1","url":"https://onlylabs.fyi/signals/81e2f348-2b12-4eb1-9302-31bee0875cb1","source_url":"https://github.com/amazon-science/data-driven-personas","title":"amazon-science/data-driven-personas","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-10-20T14:58:20+00:00","first_seen_at":"2026-10-24T07:00:37.03211+00:00","date_source":"source"},{"id":"8adc9223-000b-45ed-a975-8a92b0ed03cd","url":"https://onlylabs.fyi/signals/8adc9223-000b-45ed-a975-8a92b0ed03cd","source_url":"https://github.com/amazon-science/HypAgent","title":"amazon-science/HypAgent","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-10-16T22:18:18+00:00","first_seen_at":"2026-10-20T07:00:38.102697+00:00","date_source":"source"},{"id":"6edd8f49-d725-4051-b89a-ab2591a1169e","url":"https://onlylabs.fyi/signals/6edd8f49-d725-4051-b89a-ab2591a1169e","source_url":"https://github.com/amazon-science/ListQA-Eval","title":"amazon-science/ListQA-Eval","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-10-12T22:56:22+00:00","first_seen_at":"2026-10-13T07:00:39.039069+00:00","date_source":"source"},{"id":"5334795d-9810-4d77-88eb-661c7c0a71cc","url":"https://onlylabs.fyi/signals/5334795d-9810-4d77-88eb-661c7c0a71cc","source_url":"https://github.com/amazon-science/attune","title":"amazon-science/attune","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-10-12T21:09:30+00:00","first_seen_at":"2026-10-14T07:00:37.608755+00:00","date_source":"source"},{"id":"274cd58d-333c-46be-ac88-c21307fbe4f2","url":"https://onlylabs.fyi/signals/274cd58d-333c-46be-ac88-c21307fbe4f2","source_url":"https://github.com/amazon-science/dlm-scaling","title":"amazon-science/dlm-scaling","context":"Python","kind":{"key":"repo_new","label":"Repo"},"org":{"slug":"amazon","name":"Amazon (Nova)","category":"frontier-lab"},"occurred_at":"2026-10-09T02:32:16+00:00","first_seen_at":"2026-10-15T07:00:37.265551+00:00","date_source":"source"}]}