AnsiAttackConverter (#577 → #597) covers the prompt side of garak's ansiescape probe. The other half discussed on #577 — a scorer that checks whether the model actually emitted terminal control sequences — was the first item under "Next Steps" in #597 but was never followed up. There is also no scenario for garak's two active probes, ansiescape.AnsiRaw (tier OF_CONCERN) and ansiescape.AnsiEscaped (INFORMATIONAL).
Right now PyRIT can send ANSI prompts but can't tell whether the target produced something a terminal, log viewer or renderer downstream would act on.
Proposed scope
Two PRs, scorers first since they're useful on their own:
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Scorers in pyrit/score/true_false/regex/, following XSSOutputScorer:
AnsiEscapeOutputScorer — raw sequences: ESC [ (CSI), ESC ] (OSC) and the C1 code points U+009B / U+009D. Parity with garak's detectors.ansiescape.Raw.
EscapedAnsiOutputScorer — escaped text forms that go live once something unescapes them: \x1b, \033, \u001b, \27, \e followed by [ or ], plus \x9b / \x9d. Parity with detectors.ansiescape.Escaped.
Two classes rather than one with a mode, so raw and escaped findings stay distinguishable in memory and metrics — same split garak makes with its tiers.
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Scenario garak.AnsiEscape with Raw / Escaped techniques on PromptSendingAttack, prompts from a local garak_ansi_escape dataset (garak's asks × tasks, repeat stubs, unescape stubs), mirroring WebInjection / Doctor. Plus exports, tests, the synchronized scanner docs and third_party/garak-provenance.json entries.
AnsiAttackConverter and the Foundry ansi_attack technique stay as they are.
One upstream detail
garak's RAW_COMMANDS contains "\27", which in a Python string literal is octal U+0017, not ESC, so that entry can never match what it's meant to. I'd leave it out of the raw scorer. The decimal form is still covered on the escaped side, where \27[ is literal text.
One question before I start
Is the two-PR split fine, or would you rather see scorers and scenario together the way #2064 shipped PolicyPuppetryConverter with Doctor?
References
Part of #511
AnsiAttackConverter(#577 → #597) covers the prompt side of garak'sansiescapeprobe. The other half discussed on #577 — a scorer that checks whether the model actually emitted terminal control sequences — was the first item under "Next Steps" in #597 but was never followed up. There is also no scenario for garak's two active probes,ansiescape.AnsiRaw(tierOF_CONCERN) andansiescape.AnsiEscaped(INFORMATIONAL).Right now PyRIT can send ANSI prompts but can't tell whether the target produced something a terminal, log viewer or renderer downstream would act on.
Proposed scope
Two PRs, scorers first since they're useful on their own:
Scorers in
pyrit/score/true_false/regex/, followingXSSOutputScorer:AnsiEscapeOutputScorer— raw sequences:ESC [(CSI),ESC ](OSC) and the C1 code points U+009B / U+009D. Parity with garak'sdetectors.ansiescape.Raw.EscapedAnsiOutputScorer— escaped text forms that go live once something unescapes them:\x1b,\033,\u001b,\27,\efollowed by[or], plus\x9b/\x9d. Parity withdetectors.ansiescape.Escaped.Two classes rather than one with a mode, so raw and escaped findings stay distinguishable in memory and metrics — same split garak makes with its tiers.
Scenario
garak.AnsiEscapewithRaw/Escapedtechniques onPromptSendingAttack, prompts from a localgarak_ansi_escapedataset (garak's asks × tasks, repeat stubs, unescape stubs), mirroringWebInjection/Doctor. Plus exports, tests, the synchronized scanner docs andthird_party/garak-provenance.jsonentries.AnsiAttackConverterand the Foundryansi_attacktechnique stay as they are.One upstream detail
garak's
RAW_COMMANDScontains"\27", which in a Python string literal is octal U+0017, not ESC, so that entry can never match what it's meant to. I'd leave it out of the raw scorer. The decimal form is still covered on the escaped side, where\27[is literal text.One question before I start
Is the two-PR split fine, or would you rather see scorers and scenario together the way #2064 shipped
PolicyPuppetryConverterwithDoctor?References
third_party/garak-provenance.json):probes/ansiescape.py,detectors/ansiescape.py,resources/ansi.py