William Jeynes
25 lines
1.1 KiB
TypeScript
25 lines
1.1 KiB
TypeScript
import { GraphNode } from "@langchain/langgraph";
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import { MessagesState } from "../state";
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import { AIMessage, BaseMessage } from "@langchain/core/messages";
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import { rankExampleTriggerEvents } from "../tools/retreiveExamples";
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function extractTE(text: string) {
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const match = text.match(/<norm>([\s\S]*?)<\/norm>/);
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if (!match) throw new Error("Nothing found between <norm> tags");
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return match[1].trim();
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}
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export const triggerEventSetup: GraphNode<typeof MessagesState> = async (state) => {
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let raw = state?.messages?.at(-1)?.content ?? "" //keep a copy of normalized trigger event. Again two things, womp womp
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let nc = extractTE(raw.toString())
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//Now give in-context examples. hopwfully we can self-teach?
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let similarityResults = await rankExampleTriggerEvents(state.disinformationTitle)
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let messages : BaseMessage[] = similarityResults.map((item) => {
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return new AIMessage(`- Event: ${item.rawtext} \n\n - Claims and given scores: ${item.cleantext}`)
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})
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return { messages: messages, disinformationTitle: state.disinformationTitle, normalizedClaim: nc };
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}; |