feat(agent): More agent tweaks
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11 changed files with 169 additions and 26 deletions
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@ -19,6 +19,7 @@ export type PreviewContent = {
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export const analyzePreviewContent = async (
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previewContents: PreviewContent[],
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query: string,
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taskQuery: string,
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chatHistory: BaseMessage[],
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llm: BaseChatModel,
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systemInstructions: string,
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@ -60,14 +61,15 @@ Snippet: ${content.snippet}
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console.log(`Invoking LLM for preview content analysis`);
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const analysisResponse = await llm.invoke(
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`${systemPrompt}You are a preview content analyzer, tasked with determining if search result snippets contain sufficient information to answer a user's query.
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`${systemPrompt}You are a preview content analyzer, tasked with determining if search result snippets contain sufficient information to answer the Task Query.
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# Instructions
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- Analyze the provided search result previews (titles + snippets), and chat history context to determine if they collectively contain enough information to provide a complete and accurate answer to the user's query
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- Analyze the provided search result previews (titles + snippets), and chat history context to determine if they collectively contain enough information to provide a complete and accurate answer to the Task Query
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- You must make a binary decision: either the preview content is sufficient OR it is not sufficient
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- If the preview content can provide a complete answer to the query, respond with "sufficient"
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- If the preview content lacks important details, requires deeper analysis, or cannot fully answer the query, respond with "not_needed: [specific reason why full content analysis is required]"
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- If the preview content can provide a complete answer to the Task Query, respond with "sufficient"
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- If the preview content lacks important details, requires deeper analysis, or cannot fully answer the Task Query, respond with "not_needed: [specific reason why full content analysis is required]"
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- Be specific in your reasoning when the content is not sufficient
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- The original query is provided for additional context, only use it for clarification of overall expectations and intent. You do **not** need to answer the original query directly or completely
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- Output your decision inside a \`decision\` XML tag
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# Information Context:
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@ -79,6 +81,9 @@ ${formattedChatHistory ? formattedChatHistory : 'No previous conversation contex
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# User Query:
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${query}
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# Task Query (what to answer):
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${taskQuery}
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# Search Result Previews to Analyze:
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${formattedPreviewContent}
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`,
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