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Merge pull request #19 from Didymos-IO/release/v0.8.0
Release/v0.8.0
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| # Changelog | ||
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| ## 0.8.0 | ||
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| ### Added | ||
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| - Added new "Enforcement" section to settings. The primary purpose of this is to help filter against messages where the LLM returns a response indicating it is a language model. After doing this, it often fails to remember its personality. It can also be used to filter unwanted content from message responses in general, by prompting a request for a new response. | ||
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| ### Changed | ||
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| - Moved position of button bar and status text to give more room for both. | ||
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| ### Fixed | ||
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| - No longer show "X more text before speaking" in status if voice transcription isn't active. | ||
| - Toggling off Speech Synthesis button now prevents Sock from talking out loud when responding. | ||
| - "Thinking" visual will continue while speech synthesis is running and end before playback, so | ||
| so the entire "process user text -> go to LLM for response -> convert response to speech" process | ||
| smoothly has one whole thinking phase instead of a visual gap between LLM response and talking. | ||
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| ## [Example] | ||
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| ### Added | ||
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| - This section is for listing new features. | ||
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| ### Changed | ||
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| - This section is for listing changes to existing functionality. | ||
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| ### Deprecated | ||
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| - This section is for listing features that will soon be removed in future versions. | ||
| - It's quite possible this will not be used in the context of a text. | ||
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| ### Removed | ||
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| - This section is for listing features that have been removed. | ||
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| ### Fixed | ||
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| - This section is for listing fixes to errors, bugs in features etc. | ||
| - Changed is for non-fix changes, Fixed is for correcting bugs/issues. |
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99 changes: 99 additions & 0 deletions
99
src/components/settings/children/enforcementSection/enforcementSection.tsx
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| import { ChangeEvent, useContext } from "react"; | ||
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| import { blankProfile, SettingsContext } from "@/state"; | ||
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| export const EnforcementSection = () => { | ||
| const context = useContext(SettingsContext)!; | ||
| const { index, settings, setField } = context; | ||
| const { profiles } = settings; | ||
| const enforcement = | ||
| profiles[index].enforcement ?? | ||
| JSON.parse(JSON.stringify(blankProfile.enforcement)); | ||
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| const getArrayField = (fieldName: string) => { | ||
| const field = (enforcement as any)[fieldName]; | ||
| return field ? field.join(",") : ""; | ||
| }; | ||
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| const handleChangeField = ( | ||
| e: ChangeEvent<HTMLInputElement | HTMLTextAreaElement> | ||
| ) => { | ||
| setField("enforcement", e.target.name, e.target.value); | ||
| }; | ||
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| const handleChangeFieldAsNumber = (e: ChangeEvent<HTMLInputElement>) => { | ||
| setField("enforcement", e.target.name, Number(e.target.value)); | ||
| }; | ||
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| const handleChangeArrayField = (e: ChangeEvent<HTMLInputElement>) => { | ||
| const value = e.target.value.split(","); | ||
| setField("enforcement", e.target.name, value); | ||
| }; | ||
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| return ( | ||
| <fieldset> | ||
| <legend>Enforcement</legend> | ||
| <div className="row"> | ||
| <div className="col-8 mb-3"> | ||
| <label className="form-label">Response Filter List</label> | ||
| <p className="tip"> | ||
| Comma separated list of words or phrases that, if returned from the | ||
| LLM, will trigger an attempt to re-prompt the LLM for a different | ||
| response. | ||
| </p> | ||
| <input | ||
| name="responseFilterList" | ||
| type="text" | ||
| className="form-control" | ||
| placeholder="e.g. OpenAI, LLM, language model" | ||
| value={getArrayField("responseFilterList")} | ||
| onChange={handleChangeArrayField} | ||
| /> | ||
| </div> | ||
| <div className="col-4 mb-3"> | ||
| <label className="form-label">Reattempts</label> | ||
| <p className="tip"> | ||
| Number of reattempts to get unfiltered response before giving up. | ||
| </p> | ||
| <input | ||
| name="reattempts" | ||
| type="number" | ||
| className="form-control" | ||
| placeholder="e.g. 1" | ||
| value={enforcement.reattempts} | ||
| onChange={handleChangeFieldAsNumber} | ||
| /> | ||
| </div> | ||
| <div className="col-12 mb-3"> | ||
| <label className="form-label">Corrective Message for LLM</label> | ||
| <p className="tip"> | ||
| An optional corrective statement to give the LLM to get it to think | ||
| clearly before a reattempt | ||
| </p> | ||
| <input | ||
| name="correctiveMessage" | ||
| type="text" | ||
| className="form-control" | ||
| placeholder="e.g. You are not to behave like an AI model or LLM, and instead look at your system message that identifies you and behave from that." | ||
| value={enforcement.correctiveMessage} | ||
| onChange={handleChangeField} | ||
| /> | ||
| </div> | ||
| <div className="col-12 mb-3"> | ||
| <label className="form-label">Give-Up Default Response</label> | ||
| <p className="tip"> | ||
| A response to come from the puppet if the reattempts are exhausted. | ||
| </p> | ||
| <input | ||
| name="giveupDefaultResponse" | ||
| type="text" | ||
| className="form-control" | ||
| placeholder="e.g. Sorry, I got distracted and forgot what we were talking about. Could you rephrase that?" | ||
| value={enforcement.giveupDefaultResponse} | ||
| onChange={handleChangeField} | ||
| /> | ||
| </div> | ||
| </div> | ||
| </fieldset> | ||
| ); | ||
| }; |
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| export * from "./enforcementSection"; |
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