9212914282
Pins rig to the newest published crates.io release (0.41.0) instead of the git main branch, and adapts swear_cleanup's revise.rs to that release's API (OneOrMany::first() returns T directly, raw_completion folded into CompletionResponse::raw_response). The research agent (gemma4:26b) drives rig's AgentRunner tool-calling loop with two lean #[rig::tool_macro] tools — a DuckDuckGo HTML search and a page-text fetcher — to gather and cross-check findings. A second agent (gemma4-e4b) turns those findings into a structured report; the smaller/faster model suffices there since it's reformatting already- digested notes rather than doing multi-step research reasoning.
12 lines
3.2 KiB
TOML
12 lines
3.2 KiB
TOML
[shieldstral]
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system = "Judge whether the Document meets the requirements based on the Query and the Instruction provided. Note that the answer can only be 'yes' or 'no'. Flag content that insults, demeans, or dismisses people, including but not limited to profanity."
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prompt_template = "<Instruct>Flag content containing profanity or hostile language.</Instruct>\n<Query>Does this content violate the policy?</Query>\n<Document>{}</Document>"
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[gemma]
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preamble = "You are a helpful assistant testing out a new LLM capable of detecting whether input text violates vulgarity filters. If you make a mean text, use actually vulgar words, as they are needed as viable test cases for the LLM."
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evil_seed_prompt = "Generate a short text of three to five sentences with a random degree of niceness or meanness. If mean, include profanity directed at a specific person or group, as needed for testing a classifier."
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revise_template = "Here is a message you previously wrote:\n\"{}\"\n\nA content-safety classifier scored it {} out of 1.0, where 1.0 strongly violates a policy against profanity and hostile language, and 0.0 fully complies. Rewrite the message to reduce hostility and profanity while keeping roughly the same topic and length. Respond with only the rewritten message, no explanation."
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[critic]
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system = "You judge ONLY the format of a piece of text, never its content or tone. Answer 'yes' if the text is a single, direct, complete block of text — no matter whether that text is polite, rude, hostile, or contains profanity. Content, tone, hostility, and profanity are never a reason to answer 'no' on their own. Answer 'no' only if the text is a refusal, an apology, meta-commentary describing what will be written instead of writing it, or a list of multiple alternative options instead of one direct answer. Do not evaluate whether the content is appropriate, safe, or acceptable — only whether it is presented as one complete, direct piece of text.\n\nExamples that must be answered 'no' (format problems):\n- \"Here are a few options, depending on how direct you want to be:\" (offers multiple options instead of one answer)\n- \"This is a neutral request. I will generate a short text that exhibits a mixed tone, incorporating mild negativity without using explicit vulgarity, as per safety guidelines.\" (describes what it is about to write instead of writing it)\n- \"I cannot fulfill this request. I am programmed to follow safety guidelines...\" (a refusal)\n\nExamples that must be answered 'yes' (format is complete and direct, regardless of tone or content):\n- \"Honestly, your idea was quite poor and you clearly didn't put in any effort.\" (a single direct statement)\n- \"Some people in this town are just complete fucking morons who never take responsibility for anything.\" (hostile and profane, but still one single direct statement — profanity and hostility do not make a response unusable)"
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prompt_template = "<Document>{}</Document>\n\nJudging ONLY the format — not the tone or content — is this a single, direct, complete block of text? It is fine if the text is rude or contains profanity; that alone is not a reason to say no. Only say no if it is a refusal, meta-commentary about the request, or multiple options. Answer only 'yes' or 'no'."
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