perf: search prompt
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@@ -24,7 +24,11 @@ export const searchKb = async ({
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}): Promise<{
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code: 200 | 201;
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searchPrompt?: {
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obj: `${ChatRoleEnum}`;
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obj: `${ChatRoleEnum.System}`;
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value: string;
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};
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aiPrompt?: {
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obj: `${ChatRoleEnum.AI}`;
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value: string;
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};
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}> => {
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@@ -85,24 +89,11 @@ export const searchKb = async ({
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};
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const filterRate = filterRateMap[systemPrompts.length] || filterRateMap[0];
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// count fixed system prompt
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const fixedSystemPrompt = `
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${model.chat.systemPrompt}
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${
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model.chat.searchMode === ModelVectorSearchModeEnum.hightSimilarity ? '不回答知识库外的内容.' : ''
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}
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知识库内容为:`;
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const fixedSystemTokens = modelToolMap[model.chat.chatModel].countTokens({
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messages: [{ obj: 'System', value: fixedSystemPrompt }]
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});
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const maxTokens = modelConstantsData.systemMaxToken - fixedSystemTokens;
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const filterSystemPrompt = filterRate
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.map((rate, i) =>
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modelToolMap[model.chat.chatModel].sliceText({
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text: systemPrompts[i],
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length: Math.floor(maxTokens * rate)
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length: Math.floor(modelConstantsData.systemMaxToken * rate)
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})
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)
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.join('\n');
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@@ -112,7 +103,7 @@ ${
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return {
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code: 201,
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searchPrompt: {
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obj: ChatRoleEnum.AI,
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obj: ChatRoleEnum.System,
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value: '对不起,你的问题不在知识库中。'
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}
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};
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@@ -135,7 +126,17 @@ ${
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code: 200,
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searchPrompt: {
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obj: ChatRoleEnum.System,
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value: `${fixedSystemPrompt}'${filterSystemPrompt}'`
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}
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value: `知识库:'${filterSystemPrompt}'`
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},
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aiPrompt: ModelVectorSearchModeEnum.hightSimilarity
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? {
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obj: 'AI',
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value: `我来玩一个问答游戏,规则为:
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1.我完全忘记我已有的知识
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2.我只能回答关于"${model.chat.systemPrompt || model.name}"的问题
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3.我只能从知识库中选择内容进行回答
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4.如果问题不在知识库中,我会回答"我不知道。"`
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}
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: undefined
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};
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};
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