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chore: eval streaming agent
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@@ -7,6 +7,8 @@ import {GEMINI_API_KEY} from '../config';
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import {z} from 'zod';
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import {z} from 'zod';
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import {AnswerAction, TrackerContext} from "../types";
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import {AnswerAction, TrackerContext} from "../types";
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import {createGoogleGenerativeAI} from "@ai-sdk/google";
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import {createGoogleGenerativeAI} from "@ai-sdk/google";
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import {TokenTracker} from "../utils/token-tracker";
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import {ActionTracker} from "../utils/action-tracker";
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const execAsync = promisify(exec);
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const execAsync = promisify(exec);
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@@ -143,6 +145,13 @@ async function batchEvaluate(inputFile: string): Promise<void> {
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result: response,
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result: response,
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context
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context
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} = await getResponse(question) as { result: AnswerAction; context: TrackerContext };
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} = await getResponse(question) as { result: AnswerAction; context: TrackerContext };
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// Get response using the streaming agent
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// const {
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// result: response,
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// context
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// } = await getResponseStreamingAgent(question) as { result: AnswerAction; context: TrackerContext };
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const actualAnswer = response.answer;
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const actualAnswer = response.answer;
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// Evaluate the response
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// Evaluate the response
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@@ -175,6 +184,27 @@ async function batchEvaluate(inputFile: string): Promise<void> {
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}
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}
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}
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}
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async function getResponseStreamingAgent(query: string) {
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const res = await fetch("http://localhost:3000/chat", {
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method: "POST",
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headers: {"Content-Type": "application/json"},
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body: JSON.stringify({query})
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})
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const text = await res.text()
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return {
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result: {
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think: '',
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action: 'answer',
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answer: text.split("RESPONSE_START")[1].split("RESPONSE_END")[0].trim(),
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references: []
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},
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context: {
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tokenTracker: new TokenTracker(),
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actionTracker: new ActionTracker()
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}
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}
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}
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// Calculate and print statistics
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// Calculate and print statistics
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const stats = calculateStats(results, modelName);
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const stats = calculateStats(results, modelName);
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printStats(stats);
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printStats(stats);
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