File size: 1,964 Bytes
f0743f4 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 | import { excludedKeys } from 'librechat-data-provider';
import { useGetModelsQuery } from 'librechat-data-provider/react-query';
import type {
TEndpointsConfig,
TModelsConfig,
TConversation,
TPreset,
} from 'librechat-data-provider';
import { getDefaultEndpoint, buildDefaultConvo } from '~/utils';
import { useGetEndpointsQuery } from '~/data-provider';
type TDefaultConvo = {
conversation: Partial<TConversation>;
preset?: Partial<TPreset> | null;
cleanInput?: boolean;
cleanOutput?: boolean;
};
const exceptions = new Set(['spec', 'iconURL']);
const useDefaultConvo = () => {
const { data: endpointsConfig = {} as TEndpointsConfig } = useGetEndpointsQuery();
const { data: modelsConfig = {} as TModelsConfig } = useGetModelsQuery();
const getDefaultConversation = ({
conversation: _convo,
preset,
cleanInput,
cleanOutput,
}: TDefaultConvo) => {
const endpoint = getDefaultEndpoint({
convoSetup: preset as TPreset,
endpointsConfig,
});
const models = modelsConfig[endpoint ?? ''] || [];
const conversation = { ..._convo };
if (cleanInput === true) {
for (const key in conversation) {
if (excludedKeys.has(key) && !exceptions.has(key)) {
continue;
}
if (conversation[key] == null) {
continue;
}
conversation[key] = undefined;
}
}
const defaultConvo = buildDefaultConvo({
conversation: conversation as TConversation,
endpoint,
lastConversationSetup: preset as TConversation,
models,
});
if (!cleanOutput) {
return defaultConvo;
}
for (const key in defaultConvo) {
if (excludedKeys.has(key) && !exceptions.has(key)) {
continue;
}
if (defaultConvo[key] == null) {
continue;
}
defaultConvo[key] = undefined;
}
return defaultConvo;
};
return getDefaultConversation;
};
export default useDefaultConvo;
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