make prompt worse

agent/nodes/model.ts

@@ -9,7 +9,7 @@ export function createModelNode(tools: any, promptPath: string): GraphNode<typeo
         const sysPrompt = await hydratePrompt(promptPath, state);
 
         const model = new ChatOpenAI({
-            model: "gpt-5.4-mini"
+            model: "gpt-5-mini"
         });
         const modelWithTools = model.bindTools(Object.values(tools));
 

agent/nodes/verificationSetup.ts

@@ -1,7 +1,8 @@
 import { GraphNode } from "@langchain/langgraph";
 import { MessagesState, ProposedTriggerEventArray } from "../state";
 import { logger } from "../utils/logger";
-import { jsonrepair } from 'jsonrepair'
+import { queryScraper } from "../tools/webSearch";
+import { rankAndDisplayData } from "../tools/triggerEventTools";
 
 export const verificationSetup: GraphNode<typeof MessagesState> = async (state) => {
   //this is kinda doing two things, but having two nodes for it seems overkill
@@ -10,10 +11,7 @@ export const verificationSetup: GraphNode<typeof MessagesState> = async (state)
     logger.warn("No trigger events in memory, parsing")
 
     let genResponse = state.messages.at(-1)?.content.toString() ?? "";
-
+    const parsed = ProposedTriggerEventArray.parse(JSON.parse(genResponse));
-    const repaired = jsonrepair(genResponse);
-
-    const parsed = ProposedTriggerEventArray.parse(JSON.parse(repaired));
 
     for (let i = 0; i < parsed.length; i++) {
       const search = parsed[i].SearchQuery

agent/package-lock.json

@@ -20,7 +20,6 @@
         "dotenv": "^17.2.3",
         "exponential-backoff": "^3.1.3",
         "fs": "^0.0.1-security",
-        "jsonrepair": "^3.13.3",
         "langchain": "^1.2.14",
         "selenium-webdriver": "^4.40.0",
         "tldts": "^7.0.23",
@@ -2076,15 +2075,6 @@
       "integrity": "sha512-ZClg6AaYvamvYEE82d3Iyd3vSSIjQ+odgjaTzRuO3s7toCdFKczob2i0zCh7JE8kWn17yvAWhUVxvqGwUalsRA==",
       "license": "ISC"
     },
-    "node_modules/jsonrepair": {
-      "version": "3.13.3",
-      "resolved": "https://registry.npmjs.org/jsonrepair/-/jsonrepair-3.13.3.tgz",
-      "integrity": "sha512-BTznj0owIt2CBAH/LTo7+1I5pMvl1e1033LRl/HUowlZmJOIhzC0zbX5bxMngLkfT4WnzPP26QnW5wMr2g9tsQ==",
-      "license": "ISC",
-      "bin": {
-        "jsonrepair": "bin/cli.js"
-      }
-    },
     "node_modules/jszip": {
       "version": "3.10.1",
       "resolved": "https://registry.npmjs.org/jszip/-/jszip-3.10.1.tgz",

agent/package.json

@@ -24,7 +24,6 @@
     "dotenv": "^17.2.3",
     "exponential-backoff": "^3.1.3",
     "fs": "^0.0.1-security",
-    "jsonrepair": "^3.13.3",
     "langchain": "^1.2.14",
     "selenium-webdriver": "^4.40.0",
     "tldts": "^7.0.23",

agent/prompts/trigger.txt

@@ -3,10 +3,9 @@ Once the information has been created as below, a dataset can be created to feed
 
 There is a false disinformation claim circulating:
 ###NTITLE###
-Produce up-to 5 specific "trigger events" that happened that could have led to the spread of this disinformation.
+Produce up-to 5 specific events that happened that have led to the spread of this disinformation.
 
 Remember the time frame of the disinformation campaign: ###CDATE###
-Include no information or events that would not have been available at the time. 
 
 Produce no more text other than the json.
 
@@ -14,20 +13,8 @@ Include a concise but specific search query that can be looked up on a search en
 
 Include a url to a source for your trigger event (not a web search, a specific url from a reputuable source). Do not use OAI cite, include url as text in response.
 
-Include the date that the event happened ("March 2022" for exmaple)
+Use a JSON format with each entry containing "Event,ReasoningWhyRelevant,SearchQuery,Url".
-
-Use a JSON format with each entry containing "Event,ReasoningWhyRelevant,SearchQuery,Url,Date".
 
 Multiple tool invocations should be requested at once, if applicable.
-Use your abilities to look between the lines and produce some insightful analysis, thinking both short and long term.
 
-Events will be reordered as part of processing, each statement must stand alone
+The preceeding messages act as examples of previous responses to potentially ficitonal events and scores given.
-
-The preceeding messages act as examples of previous responses to potentially ficitonal events and scores given.
-Analysis should only be completed for proposed events that would graner >0.7 points
-
-First, consider a range of directions in which the proposed disinformation could have been influenced by.
-Then, research these directions in turn, using the tools at hand.
-Finally, refine your proposed "trigger event" until it is specific, quantifiable and backed up by evidence.
-
-Lets go through it step by step

agent/state.ts

@@ -9,7 +9,6 @@ export const ProposedTriggerEvent = z.object({
   ReasoningWhyRelevant: z.string(),
   SearchQuery: z.string(),
   Url: z.url(),
-  Date: z.string(),
   context: z.string().optional(),
   score: z.number().optional()
 })

agent/tools/retreiveExamples.ts

@@ -15,8 +15,6 @@ const CACHE_PATH = "../data/csv.cache.json";
 
 const JSONL_PATH = "../data/input.jsonl"
 
-const BM25_MIN_DOCS = 3;
-
 type EmbeddingCache = {
   rawtexts: string[];
   cleantexts: string[];
@@ -289,20 +287,8 @@ async function embedText(text: string): Promise<number[]> {
 }
 
 function buildBM25(texts: string[]) {
-  let paddedTexts = texts;
+  logger.info("Building BM25 index (%s docs)...", texts.length);
 
-  if (texts.length < BM25_MIN_DOCS) {
-    const needed = BM25_MIN_DOCS - texts.length;
-    logger.error(
-      "Corpus too small for BM25 (%s docs, need %s+), padding with %s dummy doc(s)",
-      texts.length,
-      BM25_MIN_DOCS,
-      needed
-    );
-    paddedTexts = [...texts, ...Array(needed).fill("placeholder dummy document")];
-  }
-
-  logger.info("Building BM25 index (%s docs)...", paddedTexts.length);
   const bm25 = bm25Factory();
 
   bm25.defineConfig({
@@ -316,7 +302,7 @@ function buildBM25(texts: string[]) {
     nlp.tokens.removeWords,
   ]);
 
-  paddedTexts.forEach((text, i) => {
+  texts.forEach((text, i) => {
     bm25.addDoc({ text }, i);
   });
 

agent/tools/webpageFetch.ts

@@ -1,92 +1,32 @@
 import { Builder, Browser } from "selenium-webdriver";
 import firefox from "selenium-webdriver/firefox";
-import { backOff } from "exponential-backoff";
-import { logger } from "../utils/logger";
 
-export async function extractWebpageContent(url: string): Promise<string[]> {
+export async function extractWebpageContent(url: string) : Promise<string[]>{
-  try {
-    const response = await backOff(async () => {
-      return await extractWebpageContentWorker(url);
-    }, {
-      numOfAttempts: 5,
-      startingDelay: 500,
-      timeMultiple: 2,
-      jitter: "full",
-      maxDelay: 50000,
-    });
-    return response;
-  } catch (err: any) {
-    logger.error(`Failed out of retry loop for URL "${url}", returning placeholder to pipeline`);
-    return ["API EXCEPTION"];
-  }
-}
-
-async function extractWebpageContentWorker(url: string): Promise<string[]> {
-  let driver;
-  try {
     const options = new firefox.Options();
     options.addArguments("--headless");
-    driver = await new Builder()
-      .forBrowser(Browser.FIREFOX)
-      .setFirefoxOptions(options)
-      .build();
-  } catch (err: any) {
-    const desc = `Failed to launch Firefox driver: ${err.message}`;
-    logger.error(desc);
-    throw new Error(desc);
-  }
 
-  try {
+    let driver = await new Builder().forBrowser(Browser.FIREFOX).setFirefoxOptions(options).build()
     try {
-      await driver.get(url);
+        await driver.get(url)
-    } catch (err: any) {
+        await driver.wait(async () => {
-      const desc = `Failed to navigate to URL "${url}": ${err.message}`;
+            return await driver.executeScript(
-      logger.error(desc);
+                "return document.readyState === 'complete'"
-      throw new Error(desc);
+            );
-    }
+        }, 5000);
 
-    try {
+        const readableText = await driver.executeScript(
-      await driver.wait(async () => {
+            "return document.body.innerText;"
-        return await driver.executeScript(
+        ) as string;
-          "return document.readyState === 'complete'"
-        );
-      }, 5000);
-    } catch (err: any) {
-      logger.error(`Page load timed out for "${url}", attempting to read partial content: ${err.message}`);
-      // do not throw, attempt to read
-    }
 
-    let readableText: string;
+        const filteredLines = readableText
-    try {
+            .split(/\r?\n/)
-      readableText = await driver.executeScript(
+            .map(line => line.trim())
-        "return document.body.innerText;"
+            .filter(line => line.split(/\s+/).length > 1); 
-      ) as string;
+        
-    } catch (err: any) {
+        return filteredLines;
-      const desc = `Failed to extract page text from "${url}": ${err.message}`;
+    } finally {
-      logger.error(desc);
+        await driver.quit()
-      throw new Error(desc);
     }
-
-    const filteredLines = readableText
-      .split(/\r?\n/)
-      .map(line => line.trim())
-      .filter(line => line.split(/\s+/).length > 1);
-
-    if (filteredLines.length === 0) {
-      const desc = `No content extracted from "${url}"`;
-      logger.error(desc);
-      throw new Error(desc);
-    }
-
-    return filteredLines;
-  } finally {
-    try {
-      await driver.quit();
-    } catch (err: any) {
-      logger.error(`Failed to quit Firefox driver cleanly: ${err.message}`);
-    }
-  }
 }
 
-// console.log(await extractWebpageContent("https://www.bbc.co.uk/news/live/c74wd01egvyt"))
+//console.log(await extractWebpageContent("https://www.bbc.co.uk/news/live/c74wd01egvyt"))
-// console.log(await extractWebpageContent("https://badcertificate.int.jeynes.uk/"))

supporting/Wrapper/run.ts

@@ -118,7 +118,7 @@ async function processRecord(record: any): Promise<ResultRecord> {
       input: buildAgentInput(record),
       streamMode: "values",
       config: {
-        recursion_limit: 100
+        recursion_limit: 50
       }
     });