Why no tool use?

agent/README.md

@@ -1,3 +1,28 @@
 ## Refining the agent output
 
-TODO: Table and document experiments
+Experiments modifying pipeline
+
+| Model            | % Correct | % Change |
+|------------------|----------:|---------:|
+| BASELINE         | 33        | 0        |
+| Improv Prompt    | 39.96     | 0.21     |
+| Add Examples     | 44.67     | 0.35     |
+| Date             | 45.51     | 0.38     |
+| Chain of Thought | 43.38     | 0.31     |
+| Self-Critique    | 44.36     | 0.34     |
+
+Experiments with different model types:
+| Model                         | % Correct | % Change |
+|-------------------------------|----------:|---------:|
+| gpt-5-mini                    | 33        | 0        |
+| gpt-5.4-mini                  | 32.4      | -0.02    |
+| llama3.1:8b-instruct-q4_K_M   | ?         | ?        |
+| qwen3.5:9b                    | 0         | -100     |
+
+%age valid URLS
+| Model                         | Number    | % Age    |
+|-------------------------------|----------:|---------:|
+| gpt-5-mini                    | 22/405    | 5.43     |
+| gpt-5.4-mini                  | 29/278    | 10.43    |
+| llama3.1:8b-instruct-q4_K_M   | ?         | ?        |
+| qwen3.5:9b                    | 0         | 0        |

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-5.4-nano"
         });
         const modelWithTools = model.bindTools(Object.values(tools));
 

agent/nodes/verificationSetup.ts

@@ -13,15 +13,26 @@ export const verificationSetup: GraphNode<typeof MessagesState> = async (state)
 
     const repaired = jsonrepair(genResponse);
 
-    const parsed = ProposedTriggerEventArray.parse(JSON.parse(repaired));
+    let parsed;
 
-    for (let i = 0; i < parsed.length; i++) {
-      const search = parsed[i].SearchQuery
-      // const data = await queryScraper(search);
-      // const output = await rankAndDisplayData(data, search);
+    try {
+      const json = JSON.parse(repaired);
 
-      // parsed[i].context = output;
-      parsed[i].context = "NONE"
+      if (Array.isArray(json)) {
+        parsed = ProposedTriggerEventArray.parse(json);
+      } else {
+        // try grab first value
+        const firstValue = Object.values(json)[0];
+
+        if (Array.isArray(firstValue)) {
+          parsed = ProposedTriggerEventArray.parse(firstValue);
+        } else {
+          throw new Error("No array found in JSON");
+        }
+      }
+    } catch (err: any) {
+      logger.error(`Failed to parse LLM response: ${err.message}`);
+      throw new Error(`Failed to parse LLM response: ${err}`);
     }
     
     return { proposedTriggerEvent: parsed, proposedTriggerEventIndex: 0 };

agent/prompts/trigger.txt

@@ -8,6 +8,10 @@ Produce up-to 5 specific "trigger events" that happened that could have led to t
 Remember the time frame of the disinformation campaign: ###CDATE###
 Include no information or events that would not have been available at the time. 
 
+You MEED TO use the tools available to you in order to produce up to date information on URL and search query, else you will be wrong and the analysis invalid.
+You NEED TO use the web search and open URL tools to ensure page validity or else all work upto this point will have to be discarded.
+
+
 Produce no more text other than the json.
 
 Include a concise but specific search query that can be looked up on a search engine in order to allow for the verification. 
@@ -26,8 +30,9 @@ 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.
 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.
+This pipeline is running well pasy your knowledge cutoff. 
+Any URLs will change signigicantly over time. 
+You MEED TO use the tools available to you in order to produce up to date information on URL and search query, else you will be wrong and the analysis invalid.
+You NEED TO use the web search and open URL tools to ensure page validity or else all work upto this point will have to be discarded.
 
 Lets go through it step by step

agent/tools/webpageFetch.ts

@@ -8,7 +8,7 @@ export async function extractWebpageContent(url: string): Promise<string[]> {
     const response = await backOff(async () => {
       return await extractWebpageContentWorker(url);
     }, {
-      numOfAttempts: 5,
+      numOfAttempts: 10,
       startingDelay: 500,
       timeMultiple: 2,
       jitter: "full",

run.sh

@@ -5,7 +5,7 @@ set -e
 run_agent () {
     echo "Starting LangGraph agent..."
     cd agent
-    npx @langchain/langgraph-cli dev
+    npx @langchain/langgraph-cli dev --host 127.0.0.1
 }
 
 run_ensemble_service () {

supporting/RAGAS_Service/requirements.txt

@@ -9,6 +9,7 @@ datasets
 # ROBERTA
 scikit-learn
 transformers[torch]
+sentence_transformers
 
 # Utils
 numpy

supporting/checker/checker.py

@@ -0,0 +1,119 @@
+import json
+import argparse
+from urllib.parse import urlparse
+from concurrent.futures import ThreadPoolExecutor, as_completed
+from selenium import webdriver
+from selenium.webdriver.chrome.options import Options
+from selenium.common.exceptions import WebDriverException, TimeoutException, StaleElementReferenceException
+from tqdm import tqdm
+
+def init_driver():
+    options = Options()
+    options.headless = True
+    options.add_argument("--disable-gpu")
+    options.add_argument("--no-sandbox")
+    options.add_argument("--headless")
+    options.add_argument("--disable-blink-features=AutomationControlled")
+    options.add_argument("--window-size=1920,1080")
+    prefs = {
+        "profile.managed_default_content_settings.images": 2,  # block images
+        "profile.default_content_setting_values.stylesheets": 2,  # block CSS
+        "profile.managed_default_content_settings.cookies": 2,  # optional
+    }
+    options.add_experimental_option("prefs", prefs)
+
+    driver = webdriver.Chrome(options=options)
+    driver.set_page_load_timeout(30)
+    return driver
+
+def is_root_url(url):
+    parsed = urlparse(url)
+    return parsed.path in ("", "/")
+
+def is_404_page(driver):
+    """Safely check for 404, handling stale elements."""
+    try:
+        title = driver.title.lower()
+        body_text = driver.find_element("tag name", "body").text.lower()
+        return "404" in title or "404" in body_text
+    except StaleElementReferenceException:
+        return False
+    except Exception:
+        return False
+
+def check_url_selenium(url):
+    driver = None
+    try:
+        driver = init_driver()
+        driver.get(url)
+        # 404 check
+        if is_404_page(driver):
+            return False, "404 page detected"
+        # Root URL after redirects
+        final_url = driver.current_url
+        if is_root_url(final_url):
+            return False, f"Redirected to root URL ({final_url})"
+        return True, None
+    except (WebDriverException, TimeoutException) as e:
+        return False, str(e)
+    finally:
+        if driver:
+            driver.quit()
+
+def process_event(event):
+    """Process an event only if score > 0.4."""
+    score = event.get("score", 0)
+    if score <= 0.4:
+        return None, False, "Score too low"
+    url = event.get("Url")
+    if not url:
+        return None, False, "No URL"
+    is_valid, error_msg = check_url_selenium(url)
+    event["url_valid"] = is_valid
+    return url, is_valid, error_msg
+
+def process_jsonl_file(file_path, max_workers=4):
+    invalid_urls = []
+    valid_urls = 0
+
+    # Gather events with score > 0.4
+    urls_to_check = []
+    with open(file_path, "r", encoding="utf-8") as f:
+        for line in f:
+            line_data = json.loads(line)
+            if line_data.get("status") != "success":
+                continue
+            for event in line_data.get("events", []):
+                if event.get("score", 0) > 0.4:
+                    urls_to_check.append(event)
+
+    total_urls = len(urls_to_check)
+
+    # ThreadPoolExecutor with tqdm progress bar
+    with ThreadPoolExecutor(max_workers=max_workers) as executor:
+        future_to_event = {executor.submit(process_event, e): e for e in urls_to_check}
+        for future in tqdm(as_completed(future_to_event), total=total_urls, desc="Checking URLs"):
+            url, is_valid, error_msg = future.result()
+            if not is_valid and url:
+                invalid_urls.append((url, error_msg))
+            else:
+                valid_urls += 1
+
+    # Summary
+    if invalid_urls:
+        print("\nList of invalid URLs and reasons:")
+        for url, err in invalid_urls:
+            print(f"{url} --> {err}")
+    print("\n=== URL Validation Summary ===")
+    print(f"Total URLs processed: {total_urls}")
+    print(f"Valid URLs (loaded successfully): {valid_urls}")
+    print(f"Invalid URLs: {len(invalid_urls)}")
+    
+
+if __name__ == "__main__":
+    parser = argparse.ArgumentParser(description="Validate URLs in JSONL file events using Selenium")
+    parser.add_argument("file_path", type=str, help="Path to the JSONL file")
+    parser.add_argument("--workers", type=int, default=4, help="Number of parallel Selenium workers")
+    args = parser.parse_args()
+
+    process_jsonl_file(args.file_path, max_workers=args.workers)