Repository: Ayush2006128/ai_assistant
Pull request #11: Dev
Author: login: Ayush2006128
Created: 2025-04-26T06:02:44Z | Merged: 2025-04-26T06:24:03Z



<!-- This is an auto-generated comment: release notes by coderabbit.ai -->
## Summary by CodeRabbit

- **New Features**
  - Introduced a joke generator feature, allowing users to request random jokes.
- **Documentation**
  - Updated the README, Privacy Policy, and Terms of Use to reflect the integration of the joke generator and the use of the pyjokes library.
- **Chores**
  - Added the pyjokes library as a new dependency.
<!-- end of auto-generated comment: release notes by coderabbit.ai -->


Diff:
diff --git a/PRIVACY_POLICY.md b/PRIVACY_POLICY.md
index 8e410c2..ba6f722 100644
--- a/PRIVACY_POLICY.md
+++ b/PRIVACY_POLICY.md
@@ -4,7 +4,7 @@
 Welcome to coolGemini! This Privacy Policy explains how we collect, use, and protect your information when you use our application. By using this application, you agree to the terms outlined in this Privacy Policy.
 
 ## Information We Collect
-We do not collect or store any personal information from users. However, the application may interact with third-party APIs (e.g., Google Gemini API, Tavily API, YouTube Data API) to provide its functionality. These APIs may collect data as per their respective privacy policies.
+We do not collect or store any personal information from users. However, the application may interact with third-party APIs (e.g., Google Gemini API, Tavily API, YouTube Data API, pyjokes library) to provide its functionality. These APIs may collect data as per their respective privacy policies.
 
 ## Use of Information
 The application uses the data provided by users (e.g., search queries, chat inputs) solely to interact with third-party APIs and provide responses. No data is stored or shared by this application.
@@ -14,6 +14,7 @@ This application integrates with the following third-party services:
 - **Google Gemini API**: Used for AI chat functionality.
 - **Tavily API**: Used for search functionality.
 - **YouTube Data API**: Used for video search functionality.
+- **pyjokes library**: Used for generating random jokes.
 
 Please review the privacy policies of these services to understand how they handle your data.
 
diff --git a/README.md b/README.md
index a45eee9..b60337c 100644
--- a/README.md
+++ b/README.md
@@ -6,6 +6,7 @@ coolGemini is an AI-powered assistant application built using Streamlit. It prov
 
 - **Chat AI Assistant**: Interact with an AI assistant powered by Google Gemini.
 - **Search Engine**: Perform web searches using Tavily API and video searches using YouTube Data API.
+- **Joke Generator**: Get random jokes using the pyjokes library.
 - **Multi-tab Interface**: View results categorized into All, Images, Videos, and Web tabs.
 
 ## Technologies Used
@@ -14,6 +15,7 @@ coolGemini is an AI-powered assistant application built using Streamlit. It prov
 - **Google Gemini API**: For AI chat functionality.
 - **Tavily API**: For web search functionality.
 - **YouTube Data API**: For video search functionality.
+- **pyjokes**: For generating random jokes.
 - **LangChain**: For managing AI agent interactions.
 
 ## Installation
@@ -47,6 +49,7 @@ coolGemini is an AI-powered assistant application built using Streamlit. It prov
 
 - Navigate to the chat page to interact with the AI assistant.
 - Use the search page to perform web and video searches.
+- Ask for a joke to receive a random joke generated by the pyjokes library.
 - Visit the about page to learn more about the application.
 
 ## License
@@ -55,4 +58,4 @@ This application is licensed under the BSD 3-Clause License. See the LICENSE fil
 
 ## Disclaimer
 
-This application is for educational purposes only and is not affiliated with Google or Tavily.
\ No newline at end of file
+This application is for educational purposes only and is not affiliated with Google, Tavily, or pyjokes.
\ No newline at end of file
diff --git a/TERMS_OF_USE.md b/TERMS_OF_USE.md
index 9676f3d..8c0d1d9 100644
--- a/TERMS_OF_USE.md
+++ b/TERMS_OF_USE.md
@@ -4,7 +4,7 @@
 By using the coolGemini application ("the App"), you agree to be bound by these Terms of Use. If you do not agree to these terms, do not use the App.
 
 ## Description of Service
-coolGemini is an AI-powered assistant application for educational purposes. It provides chat and search functionalities using third-party APIs, including Google Gemini, Tavily, and YouTube Data API.
+coolGemini is an AI-powered assistant application for educational purposes. It provides chat and search functionalities using third-party APIs, including Google Gemini, Tavily, YouTube Data API, and the pyjokes library for joke generation.
 
 ## User Responsibilities
 - You agree to use the App only for lawful purposes and in accordance with these Terms.
@@ -12,7 +12,7 @@ coolGemini is an AI-powered assistant application for educational purposes. It p
 - You must not use the App to transmit any harmful, offensive, or unlawful material.
 
 ## Third-Party Services
-The App integrates with third-party APIs. Your use of these services is subject to their respective terms and privacy policies. The App does not control or take responsibility for the content or data handling practices of these third parties.
+The App integrates with third-party APIs and libraries. Your use of these services is subject to their respective terms and privacy policies. The App does not control or take responsibility for the content or data handling practices of these third parties. These include, but are not limited to, Google Gemini, Tavily, YouTube Data API, and pyjokes.
 
 ## No Warranty
 The App is provided "as is" without warranties of any kind, either express or implied. The developers make no guarantees regarding the accuracy, reliability, or availability of the App or its results.
diff --git a/chat.py b/chat.py
index 310926d..a543e21 100644
--- a/chat.py
+++ b/chat.py
@@ -1,3 +1,4 @@
+import asyncio
 import streamlit as st
 from logic.chat_agent import agent_executor
 
@@ -31,4 +32,4 @@
     # Display assistant response in chat message container
     st.session_state.messages.append({"role": "assistant", "content": final_answer})
     with st.chat_message("assistant"):
-        st.markdown(final_answer)
+        st.markdown(final_answer)
\ No newline at end of file
diff --git a/logic/chat_agent.py b/logic/chat_agent.py
index 33051a8..c0d5974 100644
--- a/logic/chat_agent.py
+++ b/logic/chat_agent.py
@@ -1,81 +1,73 @@
 import os
 import dotenv
-from langchain_google_genai import ChatGoogleGenerativeAI
+import logging
+from langchain_google_genai import ChatGoogleGenerativeAI, HarmCategory, HarmBlockThreshold
 from langchain_community.tools import TavilySearchResults
+from tools.random_joke import ProvideJoke
 from langchain.agents import create_react_agent, AgentExecutor
 from langchain.prompts import PromptTemplate
 from langchain.memory import ConversationSummaryMemory
-import logging
 
 # Load environment variables from .env file
 dotenv.load_dotenv(".env")
 
 # Configure logging
-# Sets up basic logging to display informational messages
 logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s')
 
 # --- Configuration ---
-# Retrieve API keys and model settings from environment variables
 google_api_key = os.getenv("GOOGLE_API_KEY")
 tavily_api_key = os.getenv("TAVILY_API_KEY")
-# Use gemini-1.5-flash if MODEL_NAME is not set in .env
 model_name = os.getenv("MODEL_NAME", "gemini-1.5-flash")
-# Use 0.7 if TEMPERATURE is not set in .env
 temperature = float(os.getenv("TEMPERATURE", 0.7))
 
 # --- Input Validation ---
-# Check if necessary API keys are provided
 if not google_api_key:
     logging.error("GOOGLE_API_KEY not found in environment variables.")
-    exit(1) # Exit if Google API key is missing
+    exit(1)
 if not tavily_api_key:
     logging.error("TAVILY_API_KEY not found in environment variables.")
-    exit(1) # Exit if Tavily API key is missing
+    exit(1)
 
 # --- LLM Initialization ---
-# Initialize the Google Generative AI model
 try:
     llm = ChatGoogleGenerativeAI(
         google_api_key=google_api_key,
         model=model_name,
         temperature=temperature,
-        convert_system_message_to_human=True # Important for some models
+        convert_system_message_to_human=True,
+        safety_settings={
+            HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
+        }
     )
     logging.info(f"Initialized LLM: {model_name} with temperature {temperature}")
 except Exception as e:
     logging.error(f"Failed to initialize LLM: {e}")
-    exit(1) # Exit if LLM initialization fails
+    exit(1)
 
 # --- Tools Definition ---
-# Initialize the Tavily search tool
 try:
     search_tool = TavilySearchResults(
-        max_results=3, # Limit search results to 3
+        max_results=3,
     )
-    tools = [search_tool]
-    logging.info("Initialized TavilySearchResults tool.")
+    # Initialize the async joke tool
+    joke_tool = ProvideJoke()
+    tools = [search_tool, joke_tool]
+    logging.info("Initialized TavilySearchResults and ProvideJoke tool.")
 except Exception as e:
-    logging.error(f"Failed to initialize TavilySearchResults: {e}")
-    # Decide if you want to exit or continue without the tool
+    logging.error(f"Failed to initialize tools: {e}")
     tools = []
-    logging.warning("Continuing without search tool due to initialization error.")
-
+    logging.warning("Continuing without tools due to initialization error.")
 
 # --- Memory Initialization ---
-# Initialize conversation summary memory to store chat history
-# The LLM itself is used to create summaries of the conversation turns
 memory = ConversationSummaryMemory(
     llm=llm,
-    memory_key="chat_history", # Key used to store and retrieve the history
-    return_messages=True,     # Return history as message objects
-    input_key="input"         # Specify the key for the user input
+    memory_key="chat_history",
+    return_messages=True,
+    input_key="input"
 )
 logging.info("Initialized ConversationSummaryMemory.")
 
 # --- Prompt Template ---
-# Define the prompt structure for the ReAct agent
-# This template guides the agent on how to use tools and format its thoughts/actions.
-# **Crucially, it now includes `chat_history` and uses `MessagesPlaceholder`**
 react_prompt_template = """Answer the following questions as best you can. You have access to the following tools:
 
 {tools}
@@ -99,8 +91,6 @@
 New input: {input}
 Thought:{agent_scratchpad}"""
 
-# Create the PromptTemplate object
-# Note: `chat_history` is now included in input_variables
 prompt = PromptTemplate(
     input_variables=["input", "agent_scratchpad", "tools", "tool_names", "chat_history"],
     template=react_prompt_template
@@ -108,7 +98,6 @@
 logging.info("Created PromptTemplate.")
 
 # --- Agent Initialization ---
-# Create the ReAct agent using the LLM, tools, and the defined prompt
 try:
     agent = create_react_agent(
         llm=llm,
@@ -118,54 +107,51 @@
     logging.info("Created ReAct agent.")
 except Exception as e:
     logging.error(f"Failed to create agent: {e}")
-    exit(1) # Exit if agent creation fails
+    exit(1)
 
 # --- Agent Executor ---
-# Set up the AgentExecutor to run the agent
-# It manages the interaction loop, tool execution, and memory handling.
 agent_executor = AgentExecutor(
     agent=agent,
     tools=tools,
-    memory=memory,              # Pass the initialized memory here
-    verbose=True,               # Print detailed execution steps
-    max_iterations=5,           # Increase max iterations slightly
-    handle_parsing_errors=True, # Attempt to recover from LLM output parsing errors
-    # return_intermediate_steps=True # Uncomment to see detailed thought process
+    memory=memory,
+    verbose=True,
+    max_iterations=5,
+    handle_parsing_errors=True,
+    return_intermediate_steps=True
 )
 logging.info("Created AgentExecutor.")
 
-# --- Main Execution Block ---
-if __name__ == "__main__":
+# --- Main Execution Block (Async) ---
+def main(): # Define main as an async function
+    """
+    Runs the main interaction loop for the conversational AI agent.
+    
+    Prompts the user for input, processes queries through the agent executor, and displays responses until the user types 'quit' to exit. Handles and logs errors during agent execution.
+    """
     logging.info("Starting agent interaction loop.")
     print("Agent is ready. Type 'quit' to exit.")
 
     while True:
         try:
-            # Get user input
             query = input("You: ")
             if query.lower() == 'quit':
                 logging.info("Exiting interaction loop.")
                 break
 
-            # Log the query
             logging.info(f"User Query: {query}")
 
-            # Invoke the agent executor with the user input
-            # The executor automatically handles memory loading/saving
-            response = agent_executor.invoke({"input": query})
+            # Invoke the agent executor asynchronously
+            response = agent_executor.invoke({"input": query}) # Use ainvoke and await
 
-            # Log and print the response
             output = response.get('output', 'No output found.')
             logging.info(f"Agent Response: {output}")
             print(f"Agent: {output}")
 
-            # Log current memory summary (optional, for debugging)
-            # summary = memory.load_memory_variables({})
-            # logging.debug(f"Current memory summary: {summary.get('chat_history')}")
-
         except Exception as e:
-            # Log any errors during the interaction loop
             logging.error(f"An error occurred during agent execution: {e}", exc_info=True)
             print("Sorry, an error occurred. Please try again.")
 
     logging.info("Agent interaction finished.")
+
+if __name__ == "__main__":
+    main()
diff --git a/requirements.txt b/requirements.txt
index 10df68d..f4076ef 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -6,4 +6,5 @@ streamlit==1.44.1
 dotenv==0.9.9
 google-api-python-client==2.167.0
 google-auth-oauthlib==1.2.1
-google-auth-httplib2==0.2.0
\ No newline at end of file
+google-auth-httplib2==0.2.0
+pyjokes==0.8.3
\ No newline at end of file
diff --git a/tools/random_joke.py b/tools/random_joke.py
new file mode 100644
index 0000000..30bdad0
--- /dev/null
+++ b/tools/random_joke.py
@@ -0,0 +1,48 @@
+from langchain_core.tools import BaseTool
+import pyjokes
+from pydantic import BaseModel, Field
+from typing import Optional, Type
+class JokeArgSchema(BaseModel):
+    """Schema for joke arguments."""
+    category: Optional[str] = Field(default="neutral", description="Category of the joke. Options: 'neutral', 'chuck', 'all'.")
+    language: Optional[str] = Field(default="en", description="Language of the joke. Default is 'en'.")
+
+class ProvideJoke(BaseTool):
+    """Tool to provide a random joke."""
+    name: str = "provide_joke"
+    description: str = "Provides a random joke. You can specify the category and language."
+    args_schema: Type[JokeArgSchema] = JokeArgSchema
+
+    def _run(self, language: Optional[str] = "en", category: Optional[str] = "neutral") -> str:
+        """
+        Fetches a random joke based on the specified language and category.
+        
+        If both language and category are provided, returns a joke matching those criteria.
+        If either is missing, returns a default joke. If joke retrieval fails, returns an error message.
+        
+        Args:
+            language: Optional language code for the joke (default: "en").
+            category: Optional joke category (default: "neutral").
+        
+        Returns:
+            A joke string or an error message if retrieval fails.
+        """
+        if language and category:
+            try:
+                return pyjokes.get_joke(language=language, category=category)
+            except Exception as e:
+                return f"Error fetching joke: {e}"
+        else:
+            try:
+                return pyjokes.get_joke()
+            except Exception as e:
+                return f"Error fetching joke: {e}"
+
+    async def _arun(self, language: Optional[str] = None, category: Optional[str] = None) -> str:
+        """
+        Asynchronously executes the tool, but always raises NotImplementedError.
+        
+        Raises:
+            NotImplementedError: Async execution is not supported for this tool.
+        """
+        raise NotImplementedError("This tool does not support async execution.")
\ No newline at end of file


Reviews:
user: login: coderabbitai[bot]
body: **Actionable comments posted: 3**

<details>
<summary>🧹 Nitpick comments (9)</summary><blockquote>

<details>
<summary>chat.py (1)</summary><blockquote>

`1-1`: **Remove unused `asyncio` import or implement async logic.**

The `asyncio` module is imported but never used, triggering a lint warning (F401). Either remove this import to clean up the code or update the execution flow to leverage async/await patterns in `chat.py`.

<details>
<summary>🧰 Tools</summary>

<details>
<summary>🪛 Ruff (0.8.2)</summary>

1-1: `asyncio` imported but unused

Remove unused import: `asyncio`

(F401)

</details>

</details>

</blockquote></details>
<details>
<summary>PRIVACY_POLICY.md (1)</summary><blockquote>

`17-17`: **List `pyjokes` under third-party services.**

Nicely added. For enhanced transparency, consider linking to the `pyjokes` project’s privacy documentation.

</blockquote></details>
<details>
<summary>README.md (2)</summary><blockquote>

`18-18`: **Include `pyjokes` in Technologies Used.**

Correctly adds `pyjokes`. Optionally, standardize the naming to “pyjokes library” for consistency with other entries.

---

`61-61`: **Extend non-affiliation disclaimer.**

Good catch including `pyjokes`. To maintain consistency, consider capitalizing it as “Pyjokes” throughout the docs or keeping it lowercase everywhere.

</blockquote></details>
<details>
<summary>tools/random_joke.py (3)</summary><blockquote>

`5-8`: **Add more information to field descriptions**

The field descriptions provide basic information, but could be more complete:
- For `category`, explain what each option means (neutral vs. chuck vs. all)
- For `language`, list all supported language codes instead of just mentioning the default


```diff
-    category: Optional[str] = Field(default="neutral", description="Category of the joke. Options: 'neutral', 'chuck', 'all'.")
-    language: Optional[str] = Field(default="en", description="Language of the joke. Default is 'en'.")
+    category: Optional[str] = Field(default="neutral", description="Category of the joke. Options: 'neutral' (programming jokes), 'chuck' (Chuck Norris jokes), 'all' (all jokes).")
+    language: Optional[str] = Field(default="en", description="Language of the joke. Options: 'en' (English), 'de' (German), 'es' (Spanish), 'it' (Italian), 'fr' (French).")
```

---

`10-14`: **Enhance the tool description for better clarity**

The description is accurate but somewhat sparse. Add more detail to help the agent understand the capabilities.


```diff
-    description: str = "Provides a random joke. You can specify the category and language."
+    description: str = "Provides a random programming joke using the pyjokes library. You can specify the category ('neutral', 'chuck', 'all') and language ('en', 'de', 'es', 'it', 'fr')."
```

---

`29-31`: **Make async method parameter defaults match sync method**

The parameter defaults in `_arun` don't match those in `_run`, which could cause inconsistent behavior if async execution is ever implemented.


```diff
-    async def _arun(self, language: Optional[str] = None, category: Optional[str] = None) -> str:
+    async def _arun(self, language: Optional[str] = "en", category: Optional[str] = "neutral") -> str:
```

</blockquote></details>
<details>
<summary>logic/chat_agent.py (2)</summary><blockquote>

`52-53`: **Remove misleading comment about async joke tool**

The comment describes the joke tool as async, but the ProvideJoke tool explicitly raises NotImplementedError in its _arun method.


```diff
-    # Initialize the async joke tool
+    # Initialize the joke tool
```

---

`38-40`: **Consider expanding safety settings beyond hate speech**

You're currently only blocking hate speech, but you might want to consider other harm categories too for a more comprehensive content safety approach.


```diff
     safety_settings={
-            HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
+            HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
+            HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
+            HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE,
+            HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_MEDIUM_AND_ABOVE
     }
```

</blockquote></details>

</blockquote></details>

<details>
<summary>📜 Review details</summary>

**Configuration used: CodeRabbit UI**
**Review profile: CHILL**
**Plan: Pro**

<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between 42914d433a976f13fa295192038dda3566fa7828 and b3b9b78b75a1fd7818ba2ec4bac3ef707fa4897b.

</details>

<details>
<summary>📒 Files selected for processing (7)</summary>

* `PRIVACY_POLICY.md` (2 hunks)
* `README.md` (4 hunks)
* `TERMS_OF_USE.md` (1 hunks)
* `chat.py` (2 hunks)
* `logic/chat_agent.py` (2 hunks)
* `requirements.txt` (1 hunks)
* `tools/random_joke.py` (1 hunks)

</details>

<details>
<summary>🧰 Additional context used</summary>

<details>
<summary>🧬 Code Graph Analysis (1)</summary>

<details>
<summary>logic/chat_agent.py (1)</summary><blockquote>

<details>
<summary>tools/random_joke.py (1)</summary>

* `ProvideJoke` (10-31)

</details>

</blockquote></details>

</details><details>
<summary>🪛 Ruff (0.8.2)</summary>

<details>
<summary>chat.py</summary>

1-1: `asyncio` imported but unused

Remove unused import: `asyncio`

(F401)

</details>

</details>

</details>

<details>
<summary>🔇 Additional comments (7)</summary><blockquote>

<details>
<summary>requirements.txt (1)</summary>

`9-10`: <details>
<summary>✅ Verification successful</summary>

**Verify the added `pyjokes` dependency version.**

Ensure that `pyjokes==0.8.3` is a valid release on PyPI and free of known vulnerabilities. You can run the following script to confirm the latest version:

---

🏁 Script executed:

```shell
#!/bin/bash
# Check latest pyjokes version on PyPI
curl -s https://pypi.org/pypi/pyjokes/json | jq .info.version
```

Length of output: 71

---

We should verify that `pyjokes==0.8.3` has no known vulnerabilities. Let’s install it along with `pip-audit` and run a scan:

---

🏁 Script executed:

```shell
#!/bin/bash
pip install pip-audit pyjokes==0.8.3
pip-audit --progress-spinner off
```

Length of output: 5175

---

To bypass the missing CLI shim, let’s invoke pip-audit as a Python module:

---

🏁 Script executed:

```shell
#!/bin/bash
# Reinstall and scan via python -m pip_audit
pip install --user pip-audit pyjokes==0.8.3
python3 -m pip_audit --progress-spinner off
```

Length of output: 4183

---



</details>

**Dependency verification complete: `pyjokes==0.8.3` is valid and free of known vulnerabilities**

We confirmed via PyPI that `pyjokes==0.8.3` is the latest release, and a `pip-audit` scan found no issues in the `pyjokes` package (the only advisory flagged was against the system’s `pip` tool, which isn’t a project dependency).

</details>
<details>
<summary>PRIVACY_POLICY.md (1)</summary>

`7-7`: **Disclose interaction with `pyjokes` library.**

Good update: the policy now notes that the app may interact with the `pyjokes` library, and that users should review its privacy policy. No further action required.

</details>
<details>
<summary>README.md (2)</summary>

`9-9`: **Document the new Joke Generator feature.**

Clear and concise addition of the Joke Generator feature using `pyjokes`. This aligns well with the existing format.

---

`52-52`: **Update Usage instructions for jokes.**

Users now know how to request a joke—this instruction fits perfectly in the Usage section.

</details>
<details>
<summary>TERMS_OF_USE.md (2)</summary>

`7-7`: **Reflect usage of `pyjokes` in service description.**

The Description of Service now accurately mentions the `pyjokes` library. No further changes needed.

---

`15-15`: **Add `pyjokes` to the third-party services list.**

Third-party services are correctly updated. Ensure future legal reviews cover both APIs and libraries.

</details>
<details>
<summary>logic/chat_agent.py (1)</summary>

`151-152`: **Update script entry point if implementing async functionality**

If implementing async functionality as suggested by the comments, the entry point would need to be updated.


If you decide to implement asynchronous execution as suggested by the comments, you'll need to modify the entry point:

```diff
if __name__ == "__main__":
-    main()
+    import asyncio
+    asyncio.run(main())
```

This depends on your decision whether to implement async functionality or remove the async-related comments.

</details>

</blockquote></details>

</details>

<!-- This is an auto-generated comment by CodeRabbit for review status -->
state: COMMENTED
author_association: CONTRIBUTOR
submitted_at: 2025-04-26T06:07:32Z

Review comments:
diff_hunk: @@ -0,0 +1,31 @@
+from langchain_core.tools import BaseTool
+import pyjokes
+from pydantic import BaseModel, Field
+from typing import Optional, Type
+class JokeArgSchema(BaseModel):
+    """Schema for joke arguments."""
+    category: Optional[str] = Field(default="neutral", description="Category of the joke. Options: 'neutral', 'chuck', 'all'.")
+    language: Optional[str] = Field(default="en", description="Language of the joke. Default is 'en'.")
+
+class ProvideJoke(BaseTool):
+    """Tool to provide a random joke."""
+    name: str = "provide_joke"
+    description: str = "Provides a random joke. You can specify the category and language."
+    args_schema: Type[JokeArgSchema] = JokeArgSchema
+
+    def _run(self, language: Optional[str] = "en", category: Optional[str] = "neutral") -> str:
+        """Run the tool to get a joke."""
+        if language and category:
+            try:
+                return pyjokes.get_joke(language=language, category=category)
+            except Exception as e:
+                return f"Error fetching joke: {e}"
+        else:
+            try:
+                return pyjokes.get_joke()
+            except Exception as e:
+                return f"Error fetching joke: {e}"
+
path: tools/random_joke.py
user: login: coderabbitai[bot]
body: _🛠️ Refactor suggestion_

**Refactor to eliminate code duplication and improve default handling**

The current implementation has duplicate try-except blocks and inconsistent parameter handling between the function signature and the condition.


```diff
-    def _run(self, language: Optional[str] = "en", category: Optional[str] = "neutral") -> str:
-        """Run the tool to get a joke."""
-        if language and category:
-            try:
-                return pyjokes.get_joke(language=language, category=category)
-            except Exception as e:
-                return f"Error fetching joke: {e}"
-        else:
-            try:
-                return pyjokes.get_joke()
-            except Exception as e:
-                return f"Error fetching joke: {e}"
+    def _run(self, language: Optional[str] = "en", category: Optional[str] = "neutral") -> str:
+        """Run the tool to get a joke."""
+        try:
+            # Always use explicit parameters to be consistent with defaults
+            return pyjokes.get_joke(language=language, category=category)
+        except ValueError as e:
+            # Handle specific known exceptions with helpful messages
+            return f"Invalid parameters for joke: {e}. Try using category='neutral'|'chuck'|'all' and language='en'|'de'|'es'|'it'|'fr'."
+        except Exception as e:
+            return f"Error fetching joke: {e}"
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
    def _run(self, language: Optional[str] = "en", category: Optional[str] = "neutral") -> str:
        """Run the tool to get a joke."""
        try:
            # Always use explicit parameters to be consistent with defaults
            return pyjokes.get_joke(language=language, category=category)
        except ValueError as e:
            # Handle specific known exceptions with helpful messages
            return f"Invalid parameters for joke: {e}. Try using category='neutral'|'chuck'|'all' and language='en'|'de'|'es'|'it'|'fr'."
        except Exception as e:
            return f"Error fetching joke: {e}"
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-26T06:07:31Z
author_association: CONTRIBUTOR
diff_hunk: @@ -118,54 +107,46 @@
     logging.info("Created ReAct agent.")
 except Exception as e:
     logging.error(f"Failed to create agent: {e}")
-    exit(1) # Exit if agent creation fails
+    exit(1)
 
 # --- Agent Executor ---
-# Set up the AgentExecutor to run the agent
-# It manages the interaction loop, tool execution, and memory handling.
 agent_executor = AgentExecutor(
     agent=agent,
     tools=tools,
-    memory=memory,              # Pass the initialized memory here
-    verbose=True,               # Print detailed execution steps
-    max_iterations=5,           # Increase max iterations slightly
-    handle_parsing_errors=True, # Attempt to recover from LLM output parsing errors
-    # return_intermediate_steps=True # Uncomment to see detailed thought process
+    memory=memory,
+    verbose=True,
+    max_iterations=5,
+    handle_parsing_errors=True,
+    return_intermediate_steps=True
 )
 logging.info("Created AgentExecutor.")
 
-# --- Main Execution Block ---
-if __name__ == "__main__":
+# --- Main Execution Block (Async) ---
+def main(): # Define main as an async function
path: logic/chat_agent.py
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Fix inconsistency between comments and implementation regarding async**

The comments suggest this should be an async function, but the implementation is synchronous.


You have two options to resolve this inconsistency:

Option 1: If async is intended, implement properly:
```diff
-# --- Main Execution Block (Async) ---
-def main(): # Define main as an async function
+# --- Main Execution Block (Async) ---
+async def main():
```

Option 2: If async is not intended yet, update comments:
```diff
-# --- Main Execution Block (Async) ---
-def main(): # Define main as an async function
+# --- Main Execution Block ---
+def main():
```


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
# --- Main Execution Block (Async) ---
async def main():
`````

`````suggestion
# --- Main Execution Block ---
def main():
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-26T06:07:31Z
author_association: CONTRIBUTOR
diff_hunk: @@ -118,54 +107,46 @@
     logging.info("Created ReAct agent.")
 except Exception as e:
     logging.error(f"Failed to create agent: {e}")
-    exit(1) # Exit if agent creation fails
+    exit(1)
 
 # --- Agent Executor ---
-# Set up the AgentExecutor to run the agent
-# It manages the interaction loop, tool execution, and memory handling.
 agent_executor = AgentExecutor(
     agent=agent,
     tools=tools,
-    memory=memory,              # Pass the initialized memory here
-    verbose=True,               # Print detailed execution steps
-    max_iterations=5,           # Increase max iterations slightly
-    handle_parsing_errors=True, # Attempt to recover from LLM output parsing errors
-    # return_intermediate_steps=True # Uncomment to see detailed thought process
+    memory=memory,
+    verbose=True,
+    max_iterations=5,
+    handle_parsing_errors=True,
+    return_intermediate_steps=True
 )
 logging.info("Created AgentExecutor.")
 
-# --- Main Execution Block ---
-if __name__ == "__main__":
+# --- Main Execution Block (Async) ---
+def main(): # Define main as an async function
     logging.info("Starting agent interaction loop.")
     print("Agent is ready. Type 'quit' to exit.")
 
     while True:
         try:
-            # Get user input
             query = input("You: ")
             if query.lower() == 'quit':
                 logging.info("Exiting interaction loop.")
                 break
 
-            # Log the query
             logging.info(f"User Query: {query}")
 
-            # Invoke the agent executor with the user input
-            # The executor automatically handles memory loading/saving
-            response = agent_executor.invoke({"input": query})
+            # Invoke the agent executor asynchronously
+            response = agent_executor.invoke({"input": query}) # Use ainvoke and await
path: logic/chat_agent.py
user: login: coderabbitai[bot]
body: _⚠️ Potential issue_

**Resolve async invocation comment inconsistency**

The comment suggests using async invocation, but the code uses synchronous invocation.


Either update the comment or implement async invocation:

```diff
-            # Invoke the agent executor asynchronously
-            response = agent_executor.invoke({"input": query}) # Use ainvoke and await
+            # Invoke the agent executor
+            response = agent_executor.invoke({"input": query})
```

Or if you want to use async:
```diff
-            # Invoke the agent executor asynchronously
-            response = agent_executor.invoke({"input": query}) # Use ainvoke and await
+            # Invoke the agent executor asynchronously
+            response = await agent_executor.ainvoke({"input": query})
```

Note: If choosing async implementation, you'll need to update the main function signature to be async and the script entry point to use asyncio.run().


<!-- suggestion_start -->

<details>
<summary>📝 Committable suggestion</summary>

> ‼️ **IMPORTANT**
> Carefully review the code before committing. Ensure that it accurately replaces the highlighted code, contains no missing lines, and has no issues with indentation. Thoroughly test & benchmark the code to ensure it meets the requirements.

`````suggestion
            # Invoke the agent executor
            response = agent_executor.invoke({"input": query})
`````

</details>

<!-- suggestion_end -->

<!-- This is an auto-generated comment by CodeRabbit -->
created_at: 2025-04-26T06:07:31Z
author_association: CONTRIBUTOR

PR comments:
user: login: coderabbitai[bot]
created_at: 2025-04-26T06:02:53Z
body: <!-- This is an auto-generated comment: summarize by coderabbit.ai -->
<!-- walkthrough_start -->

## Walkthrough

The changes introduce a new joke generation feature powered by the `pyjokes` library. This includes the creation of a `ProvideJoke` tool, integration of this tool into the chat agent, and updates to documentation files to reflect the new capability and dependency. The privacy policy and terms of use are updated to mention the use of `pyjokes` as a third-party service. The requirements file adds `pyjokes` as a dependency. Logging is improved in the chat agent, and the code structure is refactored to better support extensibility and error handling.

## Changes

| Files/Paths                          | Change Summary                                                                                                               |
|------------------------------------|-----------------------------------------------------------------------------------------------------------------------------|
| PRIVACY_POLICY.md, TERMS_OF_USE.md | Updated to include the `pyjokes` library as a third-party service/library.                                                  |
| README.md                          | Added "Joke Generator" feature, listed `pyjokes` as a dependency, updated usage instructions, and disclaimer.               |
| requirements.txt                   | Added `pyjokes==0.8.3` dependency; improved file formatting.                                                                |
| chat.py                           | Added `import asyncio`; no other code changes.                                                                              |
| logic/chat_agent.py               | Refactored imports, added logging, integrated `ProvideJoke` tool, set LLM safety for hate speech, improved error handling, and restructured main execution loop. |
| tools/random_joke.py              | New file introducing `ProvideJoke` tool and `JokeArgSchema` for generating jokes using `pyjokes`.                          |

## Sequence Diagram(s)

```mermaid
sequenceDiagram
    participant User
    participant ChatAgent
    participant ProvideJoke
    participant pyjokes

    User->>ChatAgent: Request a joke
    ChatAgent->>ProvideJoke: Invoke joke tool
    ProvideJoke->>pyjokes: Fetch random joke
    pyjokes-->>ProvideJoke: Return joke
    ProvideJoke-->>ChatAgent: Return joke
    ChatAgent-->>User: Display joke
```

## Poem

> In the code a new tool awoke,  
> Now the agent can tell a joke!  
> With pyjokes in tow,  
> Laughter will flow,  
> And bunnies will giggle at each clever poke.  
> 🐰✨

<!-- walkthrough_end -->


---

<details>
<summary>📜 Recent review details</summary>

**Configuration used: CodeRabbit UI**
**Review profile: CHILL**
**Plan: Pro**

<details>
<summary>📥 Commits</summary>

Reviewing files that changed from the base of the PR and between b3b9b78b75a1fd7818ba2ec4bac3ef707fa4897b and 249d4d644203045bfcecb2c0a28a6c501c0a62bc.

</details>

<details>
<summary>📒 Files selected for processing (2)</summary>

* `logic/chat_agent.py` (2 hunks)
* `tools/random_joke.py` (1 hunks)

</details>

<details>
<summary>🚧 Files skipped from review as they are similar to previous changes (2)</summary>

* logic/chat_agent.py
* tools/random_joke.py

</details>

</details>
<!-- internal state start -->


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<summary>✨ Finishing Touches</summary>

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author_association: CONTRIBUTOR
user: login: coderabbitai[bot]
created_at: 2025-04-26T06:04:54Z
body: > [!NOTE]
> Generated docstrings for this pull request at https://github.com/Ayush2006128/ai_assistant/pull/12
author_association: CONTRIBUTOR
user: login: Ayush2006128
created_at: 2025-04-26T06:22:55Z
body: ok merging
author_association: OWNER