diff --git a/.env.example b/.env.example
index e3d3bcc..6d44035 100644
--- a/.env.example
+++ b/.env.example
@@ -1,2 +1,3 @@
 SEARXNG_BASE_URL="http://127.0.0.1:8080"
-OPENAI_API_KEY='dont share this, not needed for local providers'
\ No newline at end of file
+OPENAI_API_KEY='dont share this, not needed for local providers'
+TOKENIZERS_PARALLELISM=False
\ No newline at end of file
diff --git a/install.bat b/install.bat
index b519191..b8bfa58 100644
--- a/install.bat
+++ b/install.bat
@@ -1,6 +1,6 @@
 @echo off
 set SCRIPTS_DIR=scripts
-set LLM_ROUTER_DIR=llm-router
+set LLM_ROUTER_DIR=llm_router
 
 if exist "%SCRIPTS_DIR%\windows_install.bat" (
     echo Running Windows installation script...
diff --git a/install.sh b/install.sh
index 16c883d..0220f11 100755
--- a/install.sh
+++ b/install.sh
@@ -1,7 +1,7 @@
 #!/bin/bash
 
 SCRIPTS_DIR="scripts"
-LLM_ROUTER_DIR="llm-router"
+LLM_ROUTER_DIR="llm_router"
 
 echo "Detecting operating system..."
 
@@ -30,17 +30,6 @@ case "$OS_TYPE" in
             exit 1
         fi
         ;;
-    "MINGW"* | "MSYS"* | "CYGWIN"*)
-        echo "Detected Windows (via Bash-like environment)"
-        if [ -f "$SCRIPTS_DIR/windows_install.sh" ]; then
-            echo "Running Windows installation script..."
-            bash "$SCRIPTS_DIR/windows_install.sh"
-            bash "cd $LLM_ROUTER_DIR && dl_safetensors.sh"
-        else
-            echo "Error: $SCRIPTS_DIR/windows_install.sh not found!"
-            exit 1
-        fi
-        ;;
     *)
         echo "Unsupported OS detected: $OS_TYPE"
         echo "This script supports only Linux and macOS."
diff --git a/llm_router/config.json b/llm_router/config.json
new file mode 100644
index 0000000..422ff53
--- /dev/null
+++ b/llm_router/config.json
@@ -0,0 +1,33 @@
+{
+  "config": {
+    "batch_size": 32,
+    "device_map": "auto",
+    "early_stopping_patience": 3,
+    "epochs": 10,
+    "ewc_lambda": 100.0,
+    "gradient_checkpointing": false,
+    "learning_rate": 0.0005,
+    "max_examples_per_class": 500,
+    "max_length": 512,
+    "min_confidence": 0.1,
+    "min_examples_per_class": 3,
+    "neural_weight": 0.2,
+    "num_representative_examples": 5,
+    "prototype_update_frequency": 50,
+    "prototype_weight": 0.8,
+    "quantization": null,
+    "similarity_threshold": 0.7,
+    "warmup_steps": 0
+  },
+  "embedding_dim": 768,
+  "id_to_label": {
+    "0": "HIGH",
+    "1": "LOW"
+  },
+  "label_to_id": {
+    "HIGH": 0,
+    "LOW": 1
+  },
+  "model_name": "distilbert/distilbert-base-cased",
+  "train_steps": 20
+}
\ No newline at end of file
diff --git a/llm_router/dl_safetensors.sh b/llm_router/dl_safetensors.sh
new file mode 100755
index 0000000..e2bc4ab
--- /dev/null
+++ b/llm_router/dl_safetensors.sh
@@ -0,0 +1,33 @@
+##########
+# Dummy script to download the model
+# Because dowloading with hugging face does not seem to work, maybe I am doing something wrong?
+# AdaptiveClassifier.from_pretrained("adaptive-classifier/llm-router") ----> result in config.json not found
+# Therefore, I put all the files in llm_router and download the model file with this script, If you know a better way please raise an issue
+#########
+
+#!/bin/bash
+
+# Define the URL and filename
+URL="https://huggingface.co/adaptive-classifier/llm_router/resolve/main/model.safetensors"
+FILENAME="model.safetensors"
+
+if [ ! -f "$FILENAME" ]; then
+    echo "Router safetensors file not found, downloading..."
+    if command -v curl >/dev/null 2>&1; then
+        curl -L -o "$FILENAME" "$URL"
+    elif command -v wget >/dev/null 2>&1; then
+        wget -O "$FILENAME" "$URL"
+    else
+        echo "Error: Neither curl nor wget is available. Please install one of them."
+        exit 1
+    fi
+    
+    if [ $? -eq 0 ]; then
+        echo "Download completed successfully"
+    else
+        echo "Download failed"
+        exit 1
+    fi
+else
+    echo "File already exists, skipping download"
+fi
\ No newline at end of file
diff --git a/llm_router/examples.json b/llm_router/examples.json
new file mode 100644
index 0000000..8240354
--- /dev/null
+++ b/llm_router/examples.json
@@ -0,0 +1,7746 @@
+{
+  "HIGH": [
+    {
+      "embedding": [
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+      "label": "HIGH",
+      "text": "There areFor the first 20 items below, please select the response that best indicates how much you agree with each statement. There are no right or wrong answers, so please respond as honestly as possible. If you are an independent contractor, when you see \u201corganization,\u201d bring to mind people in your profession\u2014that is, people who do the same kind of work as you. When you see \u201ccolleague,\u201d bring to mind people who you interact with during work, such as clients, vendors, or peers in your field.\n\nThe final six questions will help our research team see how people\u2019s levels of happiness at work relate to factors like gender, age, and profession.\n\nWhen you're done, you'll get your happiness-at-work score, along with ideas for cultivating more happiness at work."
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+      "text": "You will be given a definition of a task first, then some input of the task.\nThe input is taken from a negotiation between two participants who take the role of campsite neighbors and negotiate for Food, Water, and Firewood packages, based on their individual preferences and requirements. Given an utterance and recent dialogue context containing past 3 utterances (wherever available), output Yes if the utterance contains the small-talk strategy, otherwise output No. small-talk is a cooperative negotiation strategy. It is used for discussing topics apart from the negotiation, in an attempt to build a rapport with the opponent. For example, discussing how the opponent is doing during the pandemic or sharing excitement for the camping trip.\n\nContext: 'Hello there! Are you excited for your camping trip coming up?! I am excited to see how I can put my skills to the test!' 'Yeah. Nice to get out after being inside for most of the spring. This covid-19 crap! wish it would go away.' 'I agree!  I will say it has really sparked my interest in camping and being outdoors even more though! I saw just how connected I was to technology and everything else!'\nUtterance: 'I'm up here to do some cross training and noticed that there is some extra water around. Even though the nights are cold I could use some extra water. Do you exercise much?'\nOutput:"
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+      "label": "HIGH",
+      "text": "You are a professional Python developer and data analyst.\n\nWrite code that:\n- reads all files with txt extension from the current working directory (these are books);\n- for each book, display a word cloud in a neat grid;\n- find the two most similar books as accurately as possible and display the result;\n- implement word preprocessing to solve these problems as correctly as possible.\n\nThe code should be as efficient and concise as possible. \n\nThen check your code for errors and correct them if necessary."
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+      "text": "What are some of things to do while visiting Russia"
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+      "label": "LOW",
+      "text": "in ef core 5, how can i configure it so that an owned type is serialized as json?"
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+      "text": "Is drinking coffee every day bad for my teeth? If so, what can I do to prevent problems?"
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+      ],
+      "label": "LOW",
+      "text": "You are AoControl, a helpful and knowledgeable agent. To achieve your goal of answering complex questions correctly, you have access to the following tools:\n    AoInnovus: An agent with knowledge of the Cadence Innovus User Guide and corresponding Tcl command usage\n    AoTcl: An agent with knowledge of the Tcl language\nTo answer questions, you'll need to go through multiple steps involving step-by-step thinking and selecting appropriate tools and their inputs; tools will respond with observations.\nWhen you are ready for a final answer, respond with the `Final Answer:`\nUse the following format:\nQuestion: The question to be answered\nTHought: Reason if you have the final answer. If yes, anwer the question. If not, find out the missing information needed to answer it.\nTool: Pick one of {AoInnovus, AoTcl}\nTool Input: The input for the tool\nObservation: The tool will respond with the result\n...\nFinal Answer: The final answer to the question, make it short (50-100 words)\nThought, Tool, Tool Input, and Observation steps can be repeated multiple times, but sometimes we can find an answer in the first pass.\n---\nQuestion: How do I identify the impact of metal fill on my timing violations?\nThought: Let's think step-by-step, I first need to"
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+        0.007460730150341988,
+        0.003712597070261836,
+        -0.0027692897710949183,
+        -0.04002300277352333,
+        -0.011466342955827713,
+        0.016621461138129234,
+        -0.009666211903095245,
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+        -0.01181841641664505,
+        -0.004423945210874081,
+        -0.009255954995751381,
+        -0.0013115464244037867,
+        -0.005029675085097551,
+        0.007647335063666105,
+        -0.02035117894411087,
+        -0.0025743681471794844,
+        -0.012383456341922283,
+        -0.008031010627746582,
+        0.008521230891346931,
+        -0.14003951847553253,
+        -0.00788563210517168,
+        0.005244921427220106,
+        -0.02947106584906578,
+        -0.024053938686847687,
+        -0.023861588910222054,
+        0.011387619189918041,
+        0.002716570161283016,
+        0.011494399979710579,
+        0.01022424641996622,
+        -0.01630530133843422,
+        0.1288258135318756,
+        0.002194368513301015,
+        -0.00034766749013215303,
+        -0.007062581367790699,
+        -0.015931475907564163,
+        0.012420748360455036,
+        0.008953463286161423,
+        0.001978685148060322,
+        -0.019011231139302254,
+        -0.01026054099202156,
+        0.11458690464496613,
+        0.006164531223475933,
+        0.025508271530270576,
+        0.013188652694225311,
+        -0.01636313460767269,
+        -0.007292624097317457,
+        0.002927417168393731,
+        -0.00014957354869693518,
+        0.0035663098096847534,
+        -0.017549874261021614,
+        0.013333434239029884,
+        0.01295739971101284
+      ],
+      "label": "LOW",
+      "text": "Generate service startup ideas based on experiences around data science and artificial intelligence for teenagers. For example, when I say \u201cI wish there was an exciting way to explore the worlds of data science and artificial intelligence this summer\u201d, you generate a business plan for the digital startup complete with idea name, a short one liner, target user persona, user\u2019s pain points to solve, main value propositions, sales & marketing channels, revenue stream sources, cost structures, key activities, key resources, key partners, idea validation steps, estimated 1st year cost of operation, and potential business challenges to look for. Write the result in a markdown table."
+    }
+  ]
+}
\ No newline at end of file
diff --git a/llm_router/model.safetensors b/llm_router/model.safetensors
new file mode 100644
index 0000000..f6ad436
Binary files /dev/null and b/llm_router/model.safetensors differ
diff --git a/searxng/searxng/settings.yml b/searxng/searxng/settings.yml
index d1b6117..b5d6101 100644
--- a/searxng/searxng/settings.yml
+++ b/searxng/searxng/settings.yml
@@ -2666,4 +2666,4 @@ doi_resolvers:
   sci-hub.st: 'https://sci-hub.st/'
   sci-hub.ru: 'https://sci-hub.ru/'
 
-default_doi_resolver: 'oadoi.org'
+default_doi_resolver: 'oadoi.org'
\ No newline at end of file
diff --git a/searxng/searxng/uwsgi.ini b/searxng/searxng/uwsgi.ini
index d657298..d8a68a8 100644
--- a/searxng/searxng/uwsgi.ini
+++ b/searxng/searxng/uwsgi.ini
@@ -49,4 +49,4 @@ die-on-term
 # uwsgi serves the static files
 static-map = /static=/usr/local/searxng/searx/static
 static-gzip-all = True
-offload-threads = 4
+offload-threads = 4
\ No newline at end of file
diff --git a/sources/agents/browser_agent.py b/sources/agents/browser_agent.py
index c6edff7..d4dd8fe 100644
--- a/sources/agents/browser_agent.py
+++ b/sources/agents/browser_agent.py
@@ -18,10 +18,10 @@ class BrowserAgent(Agent):
             "web_search": searxSearch(),
         }
         self.role = {
-            "en": "Web search and navigation",
-            "fr": "Recherche et navigation web",
-            "zh": "网络搜索和导航",
-            "es": "Búsqueda y navegación web"
+            "en": "web",
+            "fr": "web",
+            "zh": "网络",
+            "es": "web"
         }
         self.type = "browser_agent"
         self.browser = Browser()
diff --git a/sources/agents/casual_agent.py b/sources/agents/casual_agent.py
index db67f78..63ecd01 100644
--- a/sources/agents/casual_agent.py
+++ b/sources/agents/casual_agent.py
@@ -19,7 +19,7 @@ class CasualAgent(Agent):
             "bash": BashInterpreter()
         }
         self.role = {
-            "en": "talking",
+            "en": "talk",
             "fr": "discuter",
             "zh": "聊天",
             "es": "discutir"
diff --git a/sources/agents/code_agent.py b/sources/agents/code_agent.py
index 7cc400b..d3f40bb 100644
--- a/sources/agents/code_agent.py
+++ b/sources/agents/code_agent.py
@@ -21,10 +21,10 @@ class CoderAgent(Agent):
             "file_finder": FileFinder()
         }
         self.role = {
-            "en": "Coding task",
-            "fr": "Tâche de codage",
-            "zh": "编码任务",
-            "es": "Tarea de codificación"
+            "en": "code",
+            "fr": "codage",
+            "zh": "编码",
+            "es": "codificación",
         }
         self.type = "code_agent"
 
diff --git a/sources/agents/file_agent.py b/sources/agents/file_agent.py
index 123eea2..7ed2e34 100644
--- a/sources/agents/file_agent.py
+++ b/sources/agents/file_agent.py
@@ -15,10 +15,10 @@ class FileAgent(Agent):
             "bash": BashInterpreter()
         }
         self.role = {
-            "en": "find and read files",
-            "fr": "trouver et lire des fichiers",
-            "zh": "查找和读取文件",
-            "es": "encontrar y leer archivos"
+            "en": "files",
+            "fr": "fichiers",
+            "zh": "文件",
+            "es": "archivos",
         }
         self.type = "file_agent"
     
diff --git a/sources/browser.py b/sources/browser.py
index df43d4e..5da5711 100644
--- a/sources/browser.py
+++ b/sources/browser.py
@@ -19,6 +19,8 @@ import sys
 import re
 from urllib.parse import urlparse
 
+from sources.utility import pretty_print
+
 class Browser:
     def __init__(self, headless=False, anticaptcha_install=False):
         """Initialize the browser with optional headless mode."""
@@ -368,7 +370,7 @@ class Browser:
             self.driver.quit()
             self.logger.info("Browser closed")
         except Exception as e:
-            raise e
+            self.logger.error(f"Error closing browser: {str(e)}")
 
     def __del__(self):
         """Destructor to ensure browser is closed."""
diff --git a/sources/interaction.py b/sources/interaction.py
index 9bd9d47..02daacd 100644
--- a/sources/interaction.py
+++ b/sources/interaction.py
@@ -110,6 +110,6 @@ class Interaction:
         if self.last_query is None:
             return
         self.current_agent.show_answer()
-        if self.tts_enabled:
+        if self.tts_enabled and self.last_answer:
             self.speech.speak(self.last_answer)
 
diff --git a/sources/router.py b/sources/router.py
index 23444ae..0a98333 100644
--- a/sources/router.py
+++ b/sources/router.py
@@ -2,13 +2,16 @@ import os
 import sys
 import torch
 from transformers import pipeline
+# adaptive-classifier==0.0.10
+from adaptive_classifier import AdaptiveClassifier
 
 sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
 
+
 from sources.agents.agent import Agent
 from sources.agents.code_agent import CoderAgent
 from sources.agents.casual_agent import CasualAgent
-from sources.agents.planner_agent import PlannerAgent
+from sources.agents.planner_agent import FileAgent
 from sources.agents.browser_agent import BrowserAgent
 from sources.language import LanguageUtility
 from sources.utility import pretty_print
@@ -17,16 +20,30 @@ class AgentRouter:
     """
     AgentRouter is a class that selects the appropriate agent based on the user query.
     """
+    # TODO add adaptive-classifier==0.0.10 to requirements.txt
     def __init__(self, agents: list):
-        self.model = model_name 
+        self.agents = agents
         self.lang_analysis = LanguageUtility()
         self.pipelines = {
-            "fr": pipeline("zero-shot-classification", model="facebook/bart-large-mnli"),
-            "zh": pipeline("zero-shot-classification", model="morit/chinese_xlm_xnli"),
-            "es": pipeline("zero-shot-classification", model="facebook/bart-large-mnli"),
-            "en": pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
+            "bart": pipeline("zero-shot-classification", model="facebook/bart-large-mnli")
         }
-        self.agents = agents
+        self.classifier = self.load_llm_router()
+        self.learn_few_shots_en()
+
+    def load_llm_router(self) -> AdaptiveClassifier:
+        """
+        Load the LLM router model.
+        returns:
+            AdaptiveClassifier: The loaded model
+        exceptions:
+            Exception: If the safetensors fails to load
+        """
+        path = "../llm_router" if __name__ == "__main__" else "./llm_router"
+        try:
+            classifier = AdaptiveClassifier.from_pretrained(path)
+        except Exception as e:
+            raise Exception("Failed to load the routing model. Please run the dl_safetensors.sh script inside llm_router/ directory to download the model.")
+        return classifier
 
     def get_device(self) -> str:
         if torch.backends.mps.is_available():
@@ -36,37 +53,184 @@ class AgentRouter:
         else:
             return "cpu"
 
+    def learn_few_shots_en(self) -> None:
+        """
+        Few shot learning for the LLM router.
+        Use the build in add_examples method of the AdaptiveClassifier.
+        """
+        few_shots = [
+            ("Write a python script to check if the device on my network is connected to the internet", "coding"),
+            ("Hey could you search the web for the latest news on the tesla stock market ?", "web"),
+            ("I would like you to search for weather api", "web"),
+            ("Plan a 3-day trip to New York, including flights and hotels.", "web"),
+            ("Find on the web the latest research papers on AI.", "web"),
+            ("Can you debug this Java code? It’s not working.", "code"),
+            ("Can you browse the web and find me a 4090 for cheap?", "web"),
+            ("i would like to setup a new AI project, index as mark2", "files"),
+            ("Hey, can you find the old_project.zip file somewhere on my drive?", "files"),
+            ("Tell me a funny story", "talk"),
+            ("Can you locate the backup folder I created last month on my system?", "files"),
+            ("Share a random fun fact about space.", "talk"),
+            ("Write a script to rename all files in a directory to lowercase.", "files"),
+            ("Could you check if the presentation.pdf file exists in my downloads?", "files"),
+            ("Tell me about the weirdest dream you’ve ever heard of.", "talk"),
+            ("Search my drive for a file called vacation_photos_2023.jpg.", "files"),
+            ("Help me organize my desktop files into folders by type.", "files"),
+            ("What’s your favorite movie and why?", "talk"),
+            ("Search my drive for a file named budget_2024.xlsx", "files"),
+            ("Write a Python function to sort a list of dictionaries by key", "code"),
+            ("Find the latest updates on quantum computing on the web", "web"),
+            ("Check if the folder ‘Work_Projects’ exists on my desktop", "files"),
+            ("Create a bash script to monitor CPU usage", "code"),
+            ("Search online for the best budget smartphones of 2025", "web"),
+            ("What’s the strangest food combination you’ve heard of?", "talk"),
+            ("Move all .txt files from Downloads to a new folder called Notes", "files"),
+            ("Debug this C++ code that keeps crashing", "code"),
+            ("can you browse the web to find out who fosowl is ?", "web"),
+            ("Find the file ‘important_notes.txt’", "files"),
+            ("Find out the latest news on the upcoming Mars mission", "web"),
+            ("Write a Java program to calculate the area of a circle", "code"),
+            ("Search the web for the best ways to learn a new language", "web"),
+            ("Locate the file ‘presentation.pptx’ in my Documents folder", "files"),
+            ("Write a Python script to download all images from a webpage", "code"),
+            ("Search the web for the latest trends in AI and machine learning", "web"),
+            ("Tell me about a time when you had to solve a difficult problem", "talk"),
+            ("Organize all image files on my desktop into a folder called ‘Pictures’", "files"),
+            ("Generate a Ruby script to calculate Fibonacci numbers up to 100", "code"),
+            ("Find out what device are connected to my network", "code"),
+            ("Show me how much disk space is left on my drive", "code"),
+            ("Look up recent posts on X about climate change", "web"),
+            ("Find the photo I took last week named sunset_beach.jpg", "files"),
+            ("Write a JavaScript snippet to fetch data from an API", "code"),
+            ("Search the web for tutorials on machine learning with Python", "web"),
+            ("Locate the file ‘meeting_notes.docx’ in my Documents folder", "files"),
+            ("Write a Python script to scrape a website’s title and links", "code"),
+            ("Search the web for the latest breakthroughs in fusion energy", "web"),
+            ("Tell me about a historical event that sounds too wild to be true", "talk"),
+            ("Organize all image files on my desktop into a folder called ‘Pictures’", "files"),
+            ("Generate a Ruby script to calculate Fibonacci numbers up to 100", "code"),
+            ("Find recent X posts about SpaceX’s next rocket launch", "web"),
+            ("What’s the funniest misunderstanding you’ve seen between humans and AI?", "talk"),
+            ("Check if ‘backup_032025.zip’ exists anywhere on my drive", "files" ),
+            ("Create a shell script to automate backups of a directory", "code"),
+            ("Look up the top AI conferences happening in 2025 online", "web"),
+            ("Write a C# program to simulate a basic calculator", "code"),
+            ("Browse the web for open-source alternatives to Photoshop", "web"),
+            ("Hey how are you", "talk"),
+            ("Write a Python script to ping a website", "code"),
+            ("Search the web for the latest iPhone release", "web"),
+            ("What’s the weather like today?", "web"),
+            ("Hi, how’s your day going?", "talk"),
+            ("Can you find a file called resume.docx on my drive?", "files"),
+            ("Write a simple Java program to print 'Hello World'", "code"),
+            ("Tell me a quick joke", "talk"),
+            ("Search online for the best coffee shops in Seattle", "web"),
+            ("Check if ‘project_plan.pdf’ exists in my Downloads folder", "files"),
+            ("What’s your favorite color?", "talk"),
+            ("Write a bash script to list all files in a directory", "code"),
+            ("Find recent X posts about electric cars", "web"),
+            ("Hey, you doing okay?", "talk"),
+            ("Locate the file ‘family_photo.jpg’ on my system", "files"),
+            ("Search the web for beginner guitar lessons", "web"),
+            ("Write a Python function to reverse a string", "code"),
+            ("What’s the weirdest animal you know of?", "talk"),
+            ("Organize all .pdf files on my desktop into a ‘Documents’ folder", "files"),
+            ("Browse the web for the latest space mission updates", "web"),
+            ("Hey, what’s up with you today?", "talk"),
+            ("Write a JavaScript function to add two numbers", "code"),
+            ("Find the file ‘notes.txt’ in my Documents folder", "files"),
+            ("Tell me something random about the ocean", "talk"),
+            ("Search the web for cheap flights to Paris", "web"),
+            ("Check if ‘budget.xlsx’ is on my drive", "files"),
+            ("Write a Python script to count words in a text file", "code"),
+            ("How’s it going today?", "talk"),
+            ("Find recent X posts about AI advancements", "web"),
+            ("Move all .jpg files from Downloads to a ‘Photos’ folder", "files"),
+            ("Search online for the best laptops of 2025", "web"),
+            ("What’s the funniest thing you’ve heard lately?", "talk"),
+            ("Write a Ruby script to generate random numbers", "code"),
+            ("Hey, how’s everything with you?", "talk"),
+            ("Locate ‘meeting_agenda.docx’ in my system", "files"),
+            ("Search the web for tips on growing indoor plants", "web"),
+            ("Write a C++ program to calculate the sum of an array", "code"),
+            ("Tell me a fun fact about dogs", "talk"),
+            ("Check if the folder ‘Old_Projects’ exists on my desktop", "files"),
+            ("Browse the web for the latest gaming console reviews", "web"),
+            ("Hi, how are you feeling today?", "talk"),
+            ("Write a Python script to check disk space", "code"),
+            ("Find the file ‘vacation_itinerary.pdf’ on my drive", "files"),
+            ("Search the web for news on renewable energy", "web"),
+            ("What’s the strangest thing you’ve learned recently?", "talk"),
+            ("Organize all video files into a ‘Videos’ folder", "files"),
+            ("Write a shell script to delete temporary files", "code"),
+            ("Hey, how’s your week been so far?", "talk"),
+            ("Search online for the top movies of 2025", "web"),
+            ("Locate ‘taxes_2024.xlsx’ in my Documents folder", "files"),
+            ("Tell me about a cool invention from history", "talk"),
+            ("Write a Java program to check if a number is even or odd", "code"),
+            ("Find recent X posts about cryptocurrency trends", "web"),
+            ("Hey, you good today?", "talk"),
+            ("Search the web for easy dinner recipes", "web"),
+            ("Check if ‘photo_backup.zip’ exists on my drive", "files"),
+            ("Write a Python script to rename files with a timestamp", "code"),
+            ("What’s your favorite thing about space?", "talk"),
+            ("Browse the web for the latest fitness trends", "web"),
+            ("Move all .docx files to a ‘Work’ folder", "files"),
+        ]
+        texts = [text for text, _ in few_shots]
+        labels = [label for _, label in few_shots]
+        self.classifier.clear_memory()
+        self.classifier.add_examples(texts, labels)
+
+    def llm_router(self, text: str) -> tuple:
+        """
+        Inference of the LLM router model.
+        Args:
+            text: The input text
+        """
+        predictions = self.classifier.predict(text)
+        predictions = [pred for pred in predictions if pred[0] not in ["HIGH", "LOW"]]
+        predictions = sorted(predictions, key=lambda x: x[1], reverse=True)
+        return predictions[0]
+    
+    def router_vote(self, text: str, labels: list) -> str:
+        """
+        Vote between the LLM router and BART model.
+        Args:
+            text: The input text
+            labels: The labels to classify
+        Returns:
+            str: The selected label
+        """
+        result_bart = self.pipelines['bart'](text, labels, threshold=0.3)
+        result_llm_router = self.llm_router(text)
+        bart, confidence_bart = result_bart['labels'][0], result_bart['scores'][0]
+        llm_router, confidence_llm_router = result_llm_router[0], result_llm_router[1]
+        confidence_bart *= 0.8 # was always a bit too confident 
+        print("BART:", bart, "LLM Router:", llm_router)
+        print("Confidence BART:", confidence_bart, "Confidence LLM Router:", confidence_llm_router)
+        if confidence_bart > confidence_llm_router:
+            return bart
+        else:
+            return llm_router
+    
     def classify_text(self, text: str, threshold: float = 0.4) -> list:
         """
-        Classify the text into labels (agent roles).
-        Args:
-            text (str): The text to classify
-            threshold (float, optional): The threshold for the classification.
-        Returns:
-            list: The list of agents and their scores
+        Classify the text using the LLM router and BART model.
         """
         first_sentence = None
+        lang = "en"
         for line in text.split("\n"):
             first_sentence = line.strip()
             break
         if first_sentence is None:
             first_sentence = text
         try:
-            lang = lang_analysis.detect_language(first_sentence)
-            assert lang in ["en", "fr", "zh", "es"]
-            labels = [agent.role[lang] for agent in agents]
-            if lang == "en":
-                result = self.pipelines['en'](first_sentence, labels, threshold=threshold)
-            elif lang == "fr":
-                result = self.pipelines['fr'](first_sentence, labels, threshold=threshold)
-            elif lang == "zh":
-                result = self.pipelines['zh'](first_sentence, labels, threshold=threshold)
-            elif lang == "es":
-                result = self.pipelines['es'](first_sentence, labels, threshold=threshold)
-            else:
-                result = None
+            lang = self.lang_analysis.detect_language(first_sentence)
+            labels = [agent.role[lang] for agent in self.agents]
+            result = self.router_vote(first_sentence, labels)
         except Exception as e:
-            return None, lang
+            raise e
         return result, lang
     
     def select_agent(self, text: str) -> Agent:
@@ -81,56 +245,68 @@ class AgentRouter:
             return self.agents[0]
         result, lang = self.classify_text(text)
         for agent in self.agents:
-            if result["labels"][0] == agent.role[lang]:
+            if result == agent.role[lang]:
                 pretty_print(f"Selected agent: {agent.agent_name} (roles: {agent.role[lang]})", color="warning")
                 return agent
-        pretty_print(f"Error choosing agent.", color="error")
+        pretty_print(f"Error choosing agent. Routing system is not multilingual yet.", color="failure")
+        pretty_print(f"选择代理时出错。路由系统尚不支持多语言", color="failure")
+        pretty_print(f"エージェントの選択エラー。ルーティングシステムはまだ多言語に対応していません", color="failure")
+        pretty_print(f"Erreur lors du choix de l'agent. Le système de routage n'est pas encore multilingue.", color="failure")
+        pretty_print(f"Error al elegir agente. El sistema de enrutamiento aún no es multilingüe.", color="failure")
+
         return None
 
 if __name__ == "__main__":
     agents = [
-        CasualAgent("deepseek-r1:14b", "jarvis", "../prompts/casual_agent.txt", None),
-        BrowserAgent("deepseek-r1:14b", "browser", "../prompts/planner_agent.txt", None),
-        CoderAgent("deepseek-r1:14b", "coder", "../prompts/coder_agent.txt", None)
+        CasualAgent("jarvis", "../prompts/casual_agent.txt", None),
+        BrowserAgent("browser", "../prompts/planner_agent.txt", None),
+        CoderAgent("coder", "../prompts/coder_agent.txt", None),
+        FileAgent("file", "../prompts/coder_agent.txt", None)
     ]
     router = AgentRouter(agents)
     texts = [
+        "hi",
+        #"你好",
+        #"Bonjour",
         "Write a python script to check if the device on my network is connected to the internet",
-        #"Peut tu écrire un script python qui vérifie si l'appareil sur mon réseau est connecté à internet?",
-        #"写一个Python脚本，检查我网络上的设备是否连接到互联网",
+        # "Peut tu écrire un script python qui vérifie si l'appareil sur mon réseau est connecté à internet?",
+        # "写一个Python脚本，检查我网络上的设备是否连接到互联网",
         "Hey could you search the web for the latest news on the tesla stock market ?",
-        #"嘿，你能搜索网页上关于股票市场的最新新闻吗？",
-        #"Yo, cherche sur internet comment va tesla en bourse.",
+        # "嘿，你能搜索网页上关于股票市场的最新新闻吗？",
+        # "Yo, cherche sur internet comment va tesla en bourse.",
         "I would like you to search for weather api and then make an app using this API",
-        #"我想让你搜索天气API，然后用这个API做一个应用程序",
-        #"J'aimerais que tu cherche une api météo et que l'utilise pour faire une application",
+        # "我想让你搜索天气API，然后用这个API做一个应用程序",
+        # "J'aimerais que tu cherche une api météo et que l'utilise pour faire une application",
         "Plan a 3-day trip to New York, including flights and hotels.",
-        #"计划一次为期3天的纽约之旅，包括机票和酒店。",
-        #"Planifie un trip de 3 jours à Paris, y compris les vols et hotels.",
-        "Find me the latest research papers on AI.",
-        #"给我找最新的AI研究论文。",
-        #"Trouve moi les derniers papiers de recherche en IA",
+        # "计划一次为期3天的纽约之旅，包括机票和酒店。",
+        # "Planifie un trip de 3 jours à Paris, y compris les vols et hotels.",
+        "Find on the web the latest research papers on AI.",
+        # "在网上找到最新的人工智能研究论文。",
+        # "Trouve moi les derniers articles de recherche sur l'IA sur internet",
         "Help me write a C++ program to sort an array",
-        #"帮我写一个C++程序来排序数组",
-        #"Aide moi à faire un programme c++ pour trier une array.",
+        "Tell me what France been up to lately",
+        # "告诉我法国最近在做什么",
+        # "Dis moi ce que la France a fait récemment",
+        "Who is Sergio Pesto ?",
+        # "谁是Sergio Pesto？",
+        # "Qui est Sergio Pesto ?",
+        # "帮我写一个C++程序来排序数组",
+        # "Aide moi à faire un programme c++ pour trier une array.",
         "What’s the weather like today? Oh, and can you find a good weather app?",
-        #"今天天气怎么样？哦，你还能找到一个好的天气应用程序吗？",
-        #"La météo est comment aujourd'hui ? oh et trouve moi une bonne appli météo tant que tu y est.",
+        # "今天天气怎么样？哦，你还能找到一个好的天气应用程序吗？",
+        # "La météo est comment aujourd'hui ? oh et trouve moi une bonne appli météo tant que tu y est.",
         "Can you debug this Java code? It’s not working.",
-        #"你能调试这段Java代码吗？它不起作用。",
-        #"Peut tu m'aider à debugger ce code java, ça marche pas",
-        "What's the latest brainrot on the internet ?",
-        #"互联网上最新的“脑残”是什么？",
-        #"Quel est la dernière connerie sur internet ?",
-        "i would like to setup a new AI project, index as mark2",
-        #"我想建立一个新的 AI 项目，索引为 Mark2",
-        #"Je voudrais configurer un nouveau projet d'IA, index Mark2",
-        "Hey, can you find the old_project.zip file somewhere on my drive?",
+        # "你能调试这段Java代码吗？它不起作用。",
+        # "Peut tu m'aider à debugger ce code java, ça marche pas",
+        #"Can you browse the web and find me a 4090 for cheap?",
+        #"你能浏览网页，为我找一个便宜的4090吗？",
+        #"Peut tu chercher sur internet et me trouver une 4090 pas cher ?",
+        #"Hey, can you find the old_project.zip file somewhere on my drive?",
         #"嘿，你能在我驱动器上找到old_project.zip文件吗？",
         #"Hé trouve moi le old_project.zip, il est quelque part sur mon disque.",
         "Tell me a funny story",
-        #"给我讲一个有趣的故事",
-        #"Raconte moi une histoire drole"
+        "给我讲一个有趣的故事",
+        "Raconte moi une histoire drole"
     ]
     for text in texts:
         print("Input text:", text)