mirror of
https://github.com/danny-avila/LibreChat.git
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95201908e9
* chore: bump langchain deps to address vulnerability warnings * chore: bump community package and install textsplitters package * fix: update expected result in tokenSplit tests for accuracy * chore: remove CodeSherpa tools * chore: remove E2B tools and loadToolSuite * chore: remove CodeBrew tool and update related references * chore: remove HumanTool and ChatTool, update tool references * chore: remove Zapier tool from manifest.json and update SerpAPI * chore: remove basic tools * chore: update import path for RecursiveCharacterTextSplitter * chore: update import path for DynamicStructuredTool * chore: remove extractionChain.js and update tool filtering logic * chore: npm audit fix * chore: bump google packages * chore: update DALL-E tool to DALL-E-3 and adjust authentication logic * ci: update message classes * chore: elliptic npm audit fix * chore: update CallbackManager import and remove deprecated tool handling logic * chore: imports order * chore: remove unused code --------- Co-authored-by: Max Sanna <max@maxsanna.com>
53 lines
1.5 KiB
JavaScript
53 lines
1.5 KiB
JavaScript
const { PromptTemplate } = require('@langchain/core/prompts');
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/*
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* Without `{summary}` and `{new_lines}`, token count is 98
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* We are counting this towards the max context tokens for summaries, +3 for the assistant label (101)
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* If this prompt changes, use https://tiktokenizer.vercel.app/ to count the tokens
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*/
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const _DEFAULT_SUMMARIZER_TEMPLATE = `Summarize the conversation by integrating new lines into the current summary.
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EXAMPLE:
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Current summary:
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The human inquires about the AI's view on artificial intelligence. The AI believes it's beneficial.
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New lines:
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Human: Why is it beneficial?
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AI: It helps humans achieve their potential.
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New summary:
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The human inquires about the AI's view on artificial intelligence. The AI believes it's beneficial because it helps humans achieve their potential.
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Current summary:
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{summary}
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New lines:
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{new_lines}
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New summary:`;
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const SUMMARY_PROMPT = new PromptTemplate({
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inputVariables: ['summary', 'new_lines'],
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template: _DEFAULT_SUMMARIZER_TEMPLATE,
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});
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/*
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* Without `{new_lines}`, token count is 27
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* We are counting this towards the max context tokens for summaries, rounded up to 30
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* If this prompt changes, use https://tiktokenizer.vercel.app/ to count the tokens
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*/
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const _CUT_OFF_SUMMARIZER = `The following text is cut-off:
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{new_lines}
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Summarize the content as best as you can, noting that it was cut-off.
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Summary:`;
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const CUT_OFF_PROMPT = new PromptTemplate({
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inputVariables: ['new_lines'],
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template: _CUT_OFF_SUMMARIZER,
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});
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module.exports = {
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SUMMARY_PROMPT,
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CUT_OFF_PROMPT,
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};
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