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* 🔧 chore: Update dependencies in package-lock.json and package.json - Bump version of @librechat/agents to 3.1.75-dev.0 in multiple package.json files. - Upgrade various AWS SDK and Smithy dependencies to their latest versions in package-lock.json for improved stability and performance. * 🔧 chore: Update AWS SDK and Smithy dependencies in package-lock.json - Bump version of @aws-sdk/client-bedrock-runtime to 3.1041.0 and update related dependencies for improved performance and stability. - Upgrade various AWS SDK and Smithy packages to their latest versions, ensuring compatibility and enhanced functionality. * chore: Align LibreChat with agents LangChain upgrade - Route LangChain imports through @librechat/agents facade exports - Update @librechat/agents to 3.1.75-dev.1 and remove direct LangChain deps - Normalize nullable agent model params and API key override typing - Update Google thinking config typing for newer LangChain packages - Refresh targeted audit-related dependency overrides * chore: Add Jest types for API specs * test: Fix LangChain upgrade CI specs * test: Exercise agents env facade * fix: Clean up TS preview diagnostics * fix: Address Codex review feedback
53 lines
1.5 KiB
JavaScript
53 lines
1.5 KiB
JavaScript
const { PromptTemplate } = require('@librechat/agents/langchain/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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