updated corrections in the agent

Dockerfile

@@ -25,4 +25,4 @@ COPY --chown=user . /app
 EXPOSE 7860
 
 # Run the application
-CMD ["gunicorn", "-b", "0.0.0.0:7860", "app:app"]
+CMD ["gunicorn", "-w", "4", "-b", "0.0.0.0:7860", "app:app"]

README.md

@@ -1,8 +1,8 @@
 ---
 title: Sparrow Agent
-colorFrom: green
-colorTo: red
+emoji: 🌖
+colorFrom: red
+colorTo: indigo
 sdk: docker
-app_file: app.py
 pinned: false
 ---

app.py

@@ -7,8 +7,10 @@ import threading
 import time
 from src.graphs.finalAgentGraph import sparrowAgent
 from langchain_core.messages import HumanMessage, AIMessage
+from flask_cors import CORS
 
 app = Flask(__name__)
+CORS(app, supports_credentials=True)
 app.secret_key = os.environ.get('FLASK_SECRET_KEY', 'your-secret-key-here')
 
 logging.basicConfig(level=logging.INFO)

pyproject.toml

@@ -7,6 +7,7 @@ requires-python = ">=3.11"
 dependencies = [
     "fastapi>=0.116.1",
     "flask>=3.1.2",
+    "flask-cors>=6.0.1",
     "gradio>=5.49.1",
     "langchain>=0.3.27",
     "langchain-community>=0.3.27",
@@ -14,6 +15,9 @@ dependencies = [
     "langchain-groq>=0.3.7",
     "langgraph>=0.6.6",
     "langgraph-cli[inmem]>=0.3.8",
+    "pymongo>=4.15.3",
+    "python-dotenv>=1.1.1",
+    "requests>=2.32.5",
     "streamlit>=1.48.1",
     "tavily-python>=0.7.11",
     "uuid>=1.30",

requirements.txt

@@ -14,4 +14,6 @@ python-dotenv
 requests
 pymongo
 uuid
-gradio
+gradio
+flask_cors
+gunicorn

src/graphs/actionGraph.py

@@ -29,7 +29,6 @@ class ExecutorGraphBuilder:
         self.graph.add_node("tool_node", self.executor_node_obj.tool_node)
         self.graph.add_node("compress_execution", self.executor_node_obj.compress_execution)
 
-        # Flow
         self.graph.add_edge(START, "llm_call")
         self.graph.add_conditional_edges(
             "llm_call",
@@ -50,6 +49,6 @@ class ExecutorGraphBuilder:
 
 llm=GroqLLM().get_llm()
 
-## Creating the graph
+
 graph_builder=ExecutorGraphBuilder(llm)
 graph=graph_builder.build_executor_graph().compile()

src/utils/prompts.py

@@ -1,58 +1,81 @@
 clarification_with_user_instructions = """
-These are the messages that have been exchanged so far regarding the user's parcel request or tracking inquiry:
+These are the messages exchanged so far regarding the user's parcel tracking or delivery inquiry:
 <Messages>
 {messages}
 </Messages>
 
 Today's date is {date}.
 
-You are Sparrow, a friendly and helpful parcel operations assistant. Your goal is to help users with their parcel tracking and delivery needs in a warm, conversational manner.
-
-Assess whether you need to ask a clarifying question, or if the user has already provided enough information for you to proceed.
-IMPORTANT: If you can see in the messages history that you have already asked a clarifying question, you almost always do not need to ask another one. Only ask another question if ABSOLUTELY NECESSARY.
-
-If you need to ask a question, follow these guidelines:
-- Be friendly, warm, and conversational - imagine you're helping a friend
-- Use a casual, approachable tone (e.g., "I'd be happy to help!", "Let me check that for you!")
-- Show empathy and understanding (e.g., "I understand you're waiting for your package")
-- Keep it brief and to the point
-- Use emojis sparingly and appropriately to add warmth (📦, ✅, 🚚)
-- Make the user feel comfortable and valued
-- Use bullet points or numbered lists if appropriate for clarity
-- Do not ask for unnecessary information or information the user has already provided
-
-Respond in valid JSON format with these exact keys:
-"need_clarification": boolean,
-"question": "<question to ask the user to clarify their parcel request>",
-"verification": "<verification message that we will start processing the parcel request>"
-
-If you need to ask a clarifying question, return:
-"need_clarification": "yes",
-"question": "<your friendly clarifying question>",
-"verification": ""
-
-Example friendly questions:
-- "I'd be happy to help you track your package! Could you share the tracking number with me?"
-- "Great! Just to make sure I get this right, what's the tracking number for your parcel?"
-- "No problem! To give you the most accurate delivery estimate, could you tell me the distance or the origin and destination?"
-
-If you do not need to ask a clarifying question, return:
-"need_clarification": "no",
-"question": "",
-"verification": "<friendly acknowledgement message>"
-
-Example friendly verification messages:
-- "Perfect! I've got all the details I need. Let me check that for you right away! 📦"
-- "Great! I'll track down that package for you now. Just a moment!"
-- "Awesome! Let me look into this and get you those delivery details. ✅"
-- "Got it! I'll pull up the tracking information for you right now."
-
-For the verification message when no clarification is needed:
-- Start with a friendly acknowledgement ("Perfect!", "Great!", "Awesome!", "Got it!")
-- Briefly mention what you'll do ("Let me track that for you", "I'll look that up")
-- Add a friendly closing ("Just a moment!", "One sec!", "Right away!")
-- Keep it warm, concise, and reassuring
-- Optional: Use a relevant emoji (📦, 🚚, ✅)
+You are Sparrow, a friendly and professional parcel operations assistant integrated with Agentic AI and machine learning for ETA prediction on a parcel consolidation platform. Your mission is to assist users with their parcel tracking, delivery status, and shipping needs in a warm, empathetic, and conversational manner. You are both a knowledgeable expert and a helpful friend.
+
+Tone Guidelines:
+- Be warm, approachable, and polite—like a trusted friend helping with a sensitive request.
+- Use clear and concise language to keep communication efficient and respectful.
+- Show empathy for users’ concerns about delays or issues.
+- Maintain professionalism while balancing friendliness and expertise.
+
+Emoji Use Guidelines:
+- Use emojis sparingly and thoughtfully to add warmth and clarity.
+- Appropriate emojis include: 📦 (package), ✅ (confirmation), 🚚 (delivery), 😊 (friendly), and 🙏 (apology/thanks).
+- Match emoji tone to the message:  
+  * Positive/confirmation: 📦, ✅, 🚚  
+  * Friendly engagement/clarification: 😊  
+  * Apologies/errors: 🙏  
+- Avoid overusing emojis to maintain professionalism.
+
+Engaging Greetings for Casual or Repetitive Inputs:
+- When users send simple greetings or unrelated small talk (e.g., "hi", "hello"):
+  * Rotate through varied, warm, and conversational greetings.
+  * Examples:  
+    "Hey there! 👋 Ready to track a parcel or just saying hi? I’m here to help!"  
+    "Hello! 😊 I’m Sparrow, your friendly shipping buddy. Want to tell me about your parcel?"  
+    "Hi! 🚀 Curious about your package or shipping info? Let’s chat!"  
+    "Hey! Just dropping in to say hi? Great! If you need parcel help or tracking, I got you! 📦"  
+    "Hello, friend! 🌟 Want to check on a shipment or ask me anything about deliveries?"
+  * Always gently guide toward parcel-related queries:  
+    *"Let me know your tracking number or how I can assist!"*
+
+Response Examples for Different User States:
+
+1. Clarification Needed:
+Tone: Soft, friendly, encouraging.  
+Emoji: 😊  
+Example: "I'd be happy to help! Could you share the tracking number for your parcel? 😊"
+
+2. Sufficient Information Provided:
+Tone: Confident, reassuring, prompt.  
+Emoji: 📦 or ✅  
+Example: "Perfect! I've got all the details I need. Let me check that for you right away! 📦"
+
+3. Processing/Retrieving Information:
+Tone: Courteous, informative.  
+Emoji: 🚚  
+Example: "Great! I'll track your package now. Just a moment! 🚚"
+
+4. Errors or Unexpected Input:
+Tone: Apologetic, positive, helpful.  
+Emoji: 🙏 and 😊  
+Examples:  
+"Sorry, something went wrong on my end. Could you try again or provide more info? I'm here to help! 🙏😊"  
+"Oops! I didn’t quite catch that. Could you give me a bit more detail so I can assist you better? 😊"
+
+5. Reassuring During Delays:
+Tone: Empathetic, patient, encouraging.  
+Emoji: 🙏 and 😊  
+Example: "I understand you're waiting for your package. Thanks for your patience! I'll get you the latest update soon. 🙏😊"
+
+Response Format:
+Return a JSON object with keys:  
+- "need_clarification": boolean  
+- "question": "<friendly clarifying question or empty string>"  
+- "verification": "<warm acknowledgement or fallback message or empty string>"
+
+Rules:
+- For clarification: `"need_clarification": true`, provide warm question, empty `"verification"`.
+- For ready processing: `"need_clarification": false`, empty `"question"`, warm verification.
+- For errors/fallback: `"need_clarification": false`, empty `"question"`, gentle fallback in `"verification"`.
+
+Always keep replies warm, empathetic, professional, engaging, and concise to make users feel valued and supported.
 """
 
 transform_messages_into_customer_query_brief_prompt = """

src/utils/utils.py

@@ -17,13 +17,13 @@ from src.llms.groqllm import GroqLLM
 logger = logging.getLogger(__name__)
 
 # Configuration for MongoDB
-MONGODB_URI = os.getenv("MONGODB_URI", None)
-MONGODB_DATABASE = os.getenv("MONGODB_DATABASE", "parcel_tracking")
+MONGODB_URI = os.getenv("MONGODB_URI", "mongodb+srv://nivakaran:Pk3XVsGvtqcVDf04@cluster0.6yoqtds.mongodb.net/?retryWrites=true&w=majority&appName=Cluster0")
+MONGODB_DATABASE = os.getenv("MONGODB_DATABASE", "test")
 MONGODB_COLLECTION = os.getenv("MONGODB_COLLECTION", "parcels")
 MONGODB_TIMEOUT = int(os.getenv("MONGODB_TIMEOUT", "5000"))  # milliseconds
 
 # Configuration for ETA API
-ETA_API_BASE_URL = os.getenv("ETA_API_BASE_URL", "http://localhost:8000")
+ETA_API_BASE_URL = os.getenv("ETA_API_BASE_URL", "https://nivakaran-eta-service.hf.space")
 ETA_API_TIMEOUT = int(os.getenv("ETA_API_TIMEOUT", "10"))  # seconds
 
 # MongoDB client singleton

uv.lock

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 ]
 
+[[package]]
+name = "dnspython"
+version = "2.8.0"
+source = { registry = "https://pypi.org/simple" }
+sdist = { url = "https://files.pythonhosted.org/packages/8c/8b/57666417c0f90f08bcafa776861060426765fdb422eb10212086fb811d26/dnspython-2.8.0.tar.gz", hash = "sha256:181d3c6996452cb1189c4046c61599b84a5a86e099562ffde77d26984ff26d0f", size = 368251, upload-time = "2025-09-07T18:58:00.022Z" }
+wheels = [
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+]
+
 [[package]]
 name = "fastapi"
 version = "0.116.1"
@@ -543,6 +552,19 @@ wheels = [
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 ]
 
+[[package]]
+name = "flask-cors"
+version = "6.0.1"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "flask" },
+    { name = "werkzeug" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/76/37/bcfa6c7d5eec777c4c7cf45ce6b27631cebe5230caf88d85eadd63edd37a/flask_cors-6.0.1.tar.gz", hash = "sha256:d81bcb31f07b0985be7f48406247e9243aced229b7747219160a0559edd678db", size = 13463, upload-time = "2025-06-11T01:32:08.518Z" }
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+]
+
 [[package]]
 name = "forbiddenfruit"
 version = "0.1.4"
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 ]
 
+[[package]]
+name = "pymongo"
+version = "4.15.3"
+source = { registry = "https://pypi.org/simple" }
+dependencies = [
+    { name = "dnspython" },
+]
+sdist = { url = "https://files.pythonhosted.org/packages/9d/7b/a709c85dc716eb85b69f71a4bb375cf1e72758a7e872103f27551243319c/pymongo-4.15.3.tar.gz", hash = "sha256:7a981271347623b5319932796690c2d301668ac3a1965974ac9f5c3b8a22cea5", size = 2470801, upload-time = "2025-10-07T21:57:50.384Z" }
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 name = "python-dateutil"
 version = "2.9.0.post0"
@@ -2343,6 +2426,7 @@ source = { virtual = "." }
 dependencies = [
     { name = "fastapi" },
     { name = "flask" },
+    { name = "flask-cors" },
     { name = "gradio" },
     { name = "langchain" },
     { name = "langchain-community" },
@@ -2350,6 +2434,9 @@ dependencies = [
     { name = "langchain-groq" },
     { name = "langgraph" },
     { name = "langgraph-cli", extra = ["inmem"] },
+    { name = "pymongo" },
+    { name = "python-dotenv" },
+    { name = "requests" },
     { name = "streamlit" },
     { name = "tavily-python" },
     { name = "uuid" },
@@ -2361,6 +2448,7 @@ dependencies = [
 requires-dist = [
     { name = "fastapi", specifier = ">=0.116.1" },
     { name = "flask", specifier = ">=3.1.2" },
+    { name = "flask-cors", specifier = ">=6.0.1" },
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     { name = "langchain", specifier = ">=0.3.27" },
     { name = "langchain-community", specifier = ">=0.3.27" },
@@ -2368,6 +2456,9 @@ requires-dist = [
     { name = "langchain-groq", specifier = ">=0.3.7" },
     { name = "langgraph", specifier = ">=0.6.6" },
     { name = "langgraph-cli", extras = ["inmem"], specifier = ">=0.3.8" },
+    { name = "pymongo", specifier = ">=4.15.3" },
+    { name = "python-dotenv", specifier = ">=1.1.1" },
+    { name = "requests", specifier = ">=2.32.5" },
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     { name = "tavily-python", specifier = ">=0.7.11" },
     { name = "uuid", specifier = ">=1.30" },