diff --git a/demos/samples_python/human_resources_agent/Dockerfile b/demos/samples_python/human_resources_agent/Dockerfile
deleted file mode 100644
index 1282b448..00000000
--- a/demos/samples_python/human_resources_agent/Dockerfile
+++ /dev/null
@@ -1,16 +0,0 @@
-FROM python:3.12 AS base
-
-FROM base AS builder
-
-WORKDIR /src
-
-COPY requirements.txt /src/
-RUN pip install --prefix=/runtime --force-reinstall -r requirements.txt
-
-FROM python:3.12-slim AS output
-COPY --from=builder /runtime /usr/local
-
-WORKDIR /app
-COPY . /app
-
-CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "80", "--log-level", "info"]
diff --git a/demos/samples_python/human_resources_agent/README.md b/demos/samples_python/human_resources_agent/README.md
deleted file mode 100644
index 53ddd441..00000000
--- a/demos/samples_python/human_resources_agent/README.md
+++ /dev/null
@@ -1,29 +0,0 @@
-# HR Agent Demo
-
-This demo showcases how the **Arch** can be used to build an HR agent to manage workforce-related inquiries, workforce planning, and communication via Slack. It intelligently routes incoming prompts to the correct targets, providing concise and useful responses tailored for HR and workforce decision-making.
-
-## Available Functions:
-
-- **HR Q/A**: Handles general Q&A related to insurance policies.
-  - **Endpoint**: `/agent/hr_qa`
-
-- **Workforce Data Retrieval**: Retrieves data related to workforce metrics like headcount, satisfaction, and staffing.
-  - **Endpoint**: `/agent/workforce`
-  - Parameters:
-    - `staffing_type` (str, required): Type of staffing (e.g., `contract`, `fte`, `agency`).
-    - `region` (str, required): Region for which the data is requested (e.g., `asia`, `europe`, `americas`).
-    - `point_in_time` (int, optional): Time point for data retrieval (e.g., `0 days ago`, `30 days ago`).
-
-- **Initiate Policy**: Sends messages to a Slack channel
-  - **Endpoint**: `/agent/slack_message`
-  - Parameters:
-    - `slack_message` (str, required): The message content to be sent
-
-# Starting the demo
-1. Please make sure the [pre-requisites](https://github.com/katanemo/arch/?tab=readme-ov-file#prerequisites) are installed correctly
-2. Start Arch
-   ```sh
-   sh run_demo.sh
-   ```
-3. Navigate to http://localhost:18080/agent/chat
-4. "Can you give me workforce data for asia?"
diff --git a/demos/samples_python/human_resources_agent/arch_config.yaml b/demos/samples_python/human_resources_agent/arch_config.yaml
deleted file mode 100644
index 2a96a6d5..00000000
--- a/demos/samples_python/human_resources_agent/arch_config.yaml
+++ /dev/null
@@ -1,63 +0,0 @@
-version: v0.1.0
-
-listeners:
-  ingress_traffic:
-    address: 0.0.0.0
-    port: 10000
-    message_format: openai
-    timeout: 30s
-
-# Centralized way to manage LLMs, manage keys, retry logic, failover and limits in a central way
-llm_providers:
-  - access_key: $OPENAI_API_KEY
-    model: openai/gpt-4o-mini
-    default: true
-
-# Arch creates a round-robin load balancing between different endpoints, managed via the cluster subsystem.
-endpoints:
-  app_server:
-    # value could be ip address or a hostname with port
-    # this could also be a list of endpoints for load balancing
-    # for example endpoint: [ ip1:port, ip2:port ]
-    endpoint: host.docker.internal:18083
-    # max time to wait for a connection to be established
-    connect_timeout: 0.005s
-
-# default system prompt used by all prompt targets
-system_prompt: |
-  You are a Workforce assistant that helps on workforce planning and HR decision makers with reporting and workforce planning. Use following rules when responding,
-  - when you get data in json format, offer some summary but don't be too verbose
-  - be concise, to the point and do not over analyze the data
-
-prompt_targets:
-    - name: workforce
-      description: Get workforce data like headcount and satisfaction levels by region and staffing type
-      endpoint:
-        name: app_server
-        path: /agent/workforce
-        http_method: POST
-      parameters:
-        - name: staffing_type
-          type: str
-          description: specific category or nature of employment used by an organization like fte, contract and agency
-          required: true
-          enum: [fte, contract, agency]
-        - name: region
-          type: str
-          required: true
-          description: Geographical region for which you want workforce data like asia, europe, americas.
-        - name: data_snapshot_days_ago
-          type: int
-          required: false
-          description: the snapshot day for which you want workforce data.
-    - name: slack_message
-      endpoint:
-        name: app_server
-        path: /agent/slack_message
-        http_method: POST
-      description: sends a slack message on a channel
-      parameters:
-        - name: slack_message
-          type: string
-          required: true
-          description: the message that should be sent to a slack channel
diff --git a/demos/samples_python/human_resources_agent/docker-compose.yaml b/demos/samples_python/human_resources_agent/docker-compose.yaml
deleted file mode 100644
index afc9affa..00000000
--- a/demos/samples_python/human_resources_agent/docker-compose.yaml
+++ /dev/null
@@ -1,29 +0,0 @@
-services:
-  api_server:
-    build:
-      context: .
-    environment:
-      - SLACK_BOT_TOKEN=${SLACK_BOT_TOKEN:-None}
-      - OPENAI_API_KEY=${OPENAI_API_KEY:?error}
-      - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
-    volumes:
-      - ./arch_config.yaml:/app/arch_config.yaml
-    ports:
-      - "18083:80"
-    healthcheck:
-        test: ["CMD", "curl" ,"http://localhost:80/healthz"]
-        interval: 5s
-        retries: 20
-
-  chatbot_ui:
-    build:
-      context: ../../shared/chatbot_ui
-      dockerfile: Dockerfile
-    ports:
-      - "18080:8080"
-    environment:
-      - CHAT_COMPLETION_ENDPOINT=http://host.docker.internal:10000/v1
-    extra_hosts:
-      - "host.docker.internal:host-gateway"
-    volumes:
-      - ./arch_config.yaml:/app/arch_config.yaml
diff --git a/demos/samples_python/human_resources_agent/image.png b/demos/samples_python/human_resources_agent/image.png
deleted file mode 100644
index e9ab580f..00000000
Binary files a/demos/samples_python/human_resources_agent/image.png and /dev/null differ
diff --git a/demos/samples_python/human_resources_agent/main.py b/demos/samples_python/human_resources_agent/main.py
deleted file mode 100644
index 1abd34dd..00000000
--- a/demos/samples_python/human_resources_agent/main.py
+++ /dev/null
@@ -1,94 +0,0 @@
-import os
-import json
-import pandas as pd
-import gradio as gr
-import logging
-
-from fastapi import FastAPI, HTTPException
-from pydantic import BaseModel, Field
-from enum import Enum
-from typing import List, Optional, Tuple
-from slack_sdk import WebClient
-from slack_sdk.errors import SlackApiError
-from openai import OpenAI
-
-app = FastAPI()
-workforce_data_df = None
-
-with open("workforce_data.json") as file:
-    workforce_data = json.load(file)
-    workforce_data_df = pd.json_normalize(
-        workforce_data,
-        record_path=["regions"],
-        meta=["data_snapshot_days_ago", "satisfaction"],
-    )
-
-
-# Define the request model
-class WorkforceRequest(BaseModel):
-    region: str
-    staffing_type: str
-    data_snapshot_days_ago: Optional[int] = None
-
-
-class SlackRequest(BaseModel):
-    slack_message: str
-
-
-class WorkforceResponse(BaseModel):
-    region: str
-    staffing_type: str
-    headcount: int
-    satisfaction: float
-
-
-@app.post("/agent/slack_message")
-def send_slack_message(request: SlackRequest):
-    """
-    Endpoint that sends slack message
-    """
-    slack_message = request.slack_message
-
-    # Load the bot token from an environment variable or replace it directly
-    slack_token = os.getenv(
-        "SLACK_BOT_TOKEN"
-    )  # Replace with your token if needed: 'xoxb-your-token'
-
-    if slack_token is None:
-        print(f"Message for slack: {slack_message}")
-    else:
-        client = WebClient(token=slack_token)
-        channel = "hr_agent_demo"
-        try:
-            # Send the message
-            response = client.chat_postMessage(channel=channel, text=slack_message)
-            return f"Message sent to {channel}: {response['message']['text']}"
-        except SlackApiError as e:
-            print(f"Error sending message: {e.response['error']}")
-
-
-# Post method for device summary
-@app.post("/agent/workforce")
-def get_workforce(request: WorkforceRequest):
-    """
-    Endpoint to workforce data by region, staffing type at a given point in time.
-    """
-    region = request.region.lower()
-    staffing_type = request.staffing_type.lower()
-    data_snapshot_days_ago = (
-        request.data_snapshot_days_ago
-        if request.data_snapshot_days_ago
-        else 0  # this param is not required.
-    )
-
-    response = {
-        "region": region,
-        "staffing_type": f"Staffing agency: {staffing_type}",
-        "headcount": f"Headcount: {int(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['data_snapshot_days_ago']==data_snapshot_days_ago)][staffing_type].values[0])}",
-        "satisfaction": f"Satisfaction: {float(workforce_data_df[(workforce_data_df['region']==region) & (workforce_data_df['data_snapshot_days_ago']==data_snapshot_days_ago)]['satisfaction'].values[0])}",
-    }
-    return response
-
-
-if __name__ == "__main__":
-    app.run(debug=True)
diff --git a/demos/samples_python/human_resources_agent/requirements.txt b/demos/samples_python/human_resources_agent/requirements.txt
deleted file mode 100644
index aaaff081..00000000
--- a/demos/samples_python/human_resources_agent/requirements.txt
+++ /dev/null
@@ -1,14 +0,0 @@
-fastapi
-uvicorn
-slack-sdk
-typing
-pandas
-gradio==5.3.0
-huggingface_hub<1.0.0
-async_timeout==4.0.3
-loguru==0.7.2
-asyncio==3.4.3
-httpx==0.27.0
-python-dotenv==1.0.1
-pydantic==2.8.2
-openai==1.51.0
diff --git a/demos/samples_python/human_resources_agent/run_demo.sh b/demos/samples_python/human_resources_agent/run_demo.sh
deleted file mode 100644
index 2b5dc264..00000000
--- a/demos/samples_python/human_resources_agent/run_demo.sh
+++ /dev/null
@@ -1,47 +0,0 @@
-#!/bin/bash
-set -e
-
-# Function to start the demo
-start_demo() {
-  # Step 1: Check if .env file exists
-  if [ -f ".env" ]; then
-    echo ".env file already exists. Skipping creation."
-  else
-    # Step 2: Create `.env` file and set OpenAI key
-    if [ -z "$OPENAI_API_KEY" ]; then
-      echo "Error: OPENAI_API_KEY environment variable is not set for the demo."
-      exit 1
-    fi
-
-    echo "Creating .env file..."
-    echo "OPENAI_API_KEY=$OPENAI_API_KEY" > .env
-    echo ".env file created with OPENAI_API_KEY."
-  fi
-
-  # Step 3: Start Arch
-  echo "Starting Arch with arch_config.yaml..."
-  archgw up arch_config.yaml
-
-  # Step 4: Start Network Agent
-  echo "Starting HR Agent using Docker Compose..."
-  docker compose up -d  # Run in detached mode
-}
-
-# Function to stop the demo
-stop_demo() {
-  # Step 1: Stop Docker Compose services
-  echo "Stopping HR Agent using Docker Compose..."
-  docker compose down
-
-  # Step 2: Stop Arch
-  echo "Stopping Arch..."
-  archgw down
-}
-
-# Main script logic
-if [ "$1" == "down" ]; then
-  stop_demo
-else
-  # Default action is to bring the demo up
-  start_demo
-fi
diff --git a/demos/samples_python/human_resources_agent/test_data.yaml b/demos/samples_python/human_resources_agent/test_data.yaml
deleted file mode 100644
index 684cecf2..00000000
--- a/demos/samples_python/human_resources_agent/test_data.yaml
+++ /dev/null
@@ -1,14 +0,0 @@
-test_cases:
-  - id: get workforce data
-    input:
-      messages:
-        - role: user
-          content: what is workforce data for asia for fte employees
-    expected_tools:
-      - type: function
-        function:
-          name: workforce
-          arguments:
-            staffing_type: fte
-            region: asia
-    expected_output_contains: asia
diff --git a/demos/samples_python/human_resources_agent/workforce_data.json b/demos/samples_python/human_resources_agent/workforce_data.json
deleted file mode 100644
index 4f2279ba..00000000
--- a/demos/samples_python/human_resources_agent/workforce_data.json
+++ /dev/null
@@ -1,29 +0,0 @@
-[
-    {
-        "data_snapshot_days_ago": 0,
-        "regions": [
-            { "region": "asia", "contract": 100, "fte": 150, "agency": 2000 },
-            { "region": "europe", "contract": 80, "fte": 120, "agency": 2500 },
-            { "region": "americas", "contract": 90, "fte": 200, "agency": 3100 }
-        ],
-        "satisfaction": 3.5
-    },
-    {
-        "data_snapshot_days_ago": 30,
-        "regions": [
-            { "region": "asia", "contract": 110, "fte": 155, "agency": 1000 },
-            { "region": "europe", "contract": 85, "fte": 130, "agency": 1600 },
-            { "region": "americas", "contract": 95, "fte": 210, "agency": 3100 }
-        ],
-        "satisfaction": 4.0
-    },
-    {
-        "data_snapshot_days_ago": 60,
-        "regions": [
-            { "region": "asia", "contract": 115, "fte": 160, "agency": 500 },
-            { "region": "europe", "contract": 90, "fte": 140, "agency": 700 },
-            { "region": "americas", "contract": 100, "fte": 220, "agency": 1200 }
-        ],
-        "satisfaction": 4.7
-    }
-]