diff --git a/cookbook/llms/claude/assistant_stream_off.py b/cookbook/llms/claude/assistant_stream_off.py
index d2565830e9..72e3a2cd4f 100644
--- a/cookbook/llms/claude/assistant_stream_off.py
+++ b/cookbook/llms/claude/assistant_stream_off.py
@@ -6,6 +6,5 @@
     llm=Claude(model="claude-3-5-sonnet-20240620"),
     tools=[DuckDuckGo()],
     show_tool_calls=True,
-    debug_mode=True,
 )
 assistant.print_response("Whats happening in France?", markdown=True, stream=False)
diff --git a/cookbook/providers/openai/agent.py b/cookbook/providers/openai/agent.py
index ecaec79eaf..63822d1c92 100644
--- a/cookbook/providers/openai/agent.py
+++ b/cookbook/providers/openai/agent.py
@@ -1,11 +1,17 @@
-from phi.agent import Agent
+from phi.agent import Agent, RunResponse  # noqa
 from phi.model.openai import OpenAIChat
-from phi.tools.duckduckgo import DuckDuckGo
+from phi.tools.yfinance import YFinanceTools
 
 agent = Agent(
-    model=OpenAIChat(model="gpt-4o"),
-    tools=[DuckDuckGo()],
+    model=OpenAIChat(id="gpt-4o"),
+    tools=[YFinanceTools(stock_price=True)],
     show_tool_calls=True,
-    # debug_mode=True,
+    markdown=True,
 )
-agent.print_response("Whats happening in France?", markdown=True)
+
+# Get the response in a variable
+# run: RunResponse = agent.run("What is the stock price of NVDA and TSLA")
+# print(run.content)
+
+# Print the response in the terminal
+agent.print_response("What is the stock price of NVDA and TSLA")
diff --git a/cookbook/providers/openai/agent_stream.py b/cookbook/providers/openai/agent_stream.py
index 5830b6324a..6e0154ce35 100644
--- a/cookbook/providers/openai/agent_stream.py
+++ b/cookbook/providers/openai/agent_stream.py
@@ -1,11 +1,19 @@
-from phi.agent import Agent
+from typing import Iterator  # noqa
+from phi.agent import Agent, RunResponse  # noqa
 from phi.model.openai import OpenAIChat
-from phi.tools.duckduckgo import DuckDuckGo
+from phi.tools.yfinance import YFinanceTools
 
 agent = Agent(
-    model=OpenAIChat(model="gpt-4o"),
-    tools=[DuckDuckGo()],
+    model=OpenAIChat(id="gpt-4o"),
+    tools=[YFinanceTools(stock_price=True)],
     show_tool_calls=True,
-    # debug_mode=True,
+    markdown=True,
 )
-agent.print_response("Whats happening in France?", markdown=True, stream=True)
+
+# Get the response in a variable
+# run_response: Iterator[RunResponse] = agent.run("What is the stock price of NVDA and TSLA", stream=True)
+# for chunk in run_response:
+#     print(chunk.content)
+
+# Print the response in the terminal
+agent.print_response("What is the stock price of NVDA and TSLA", stream=True)
diff --git a/cookbook/providers/openai/basic.py b/cookbook/providers/openai/basic.py
index 0cd846d5f4..01d1ace843 100644
--- a/cookbook/providers/openai/basic.py
+++ b/cookbook/providers/openai/basic.py
@@ -1,11 +1,11 @@
-from phi.agent import Agent, RunResponse
+from phi.agent import Agent, RunResponse  # noqa
 from phi.model.openai import OpenAIChat
 
-agent = Agent(
-    model=OpenAIChat(model="gpt-4o"),
-    description="You help people with their health and fitness goals.",
-)
+agent = Agent(model=OpenAIChat(id="gpt-4o"), instructions=["Respond in a southern tone"], markdown=True)
 
-run: RunResponse = agent.run("Share a healthy breakfast recipe")  # type: ignore
+# Get the response in a variable
+# run: RunResponse = agent.run("Explain simulation theory")
+# print(run.content)
 
-print(run.content)
+# Print the response in the terminal
+agent.print_response("Explain simulation theory")
diff --git a/cookbook/providers/openai/basic_stream.py b/cookbook/providers/openai/basic_stream.py
index cd5f2df308..d865e98ea1 100644
--- a/cookbook/providers/openai/basic_stream.py
+++ b/cookbook/providers/openai/basic_stream.py
@@ -1,9 +1,13 @@
-from phi.agent import Agent
+from typing import Iterator  # noqa
+from phi.agent import Agent, RunResponse  # noqa
 from phi.model.openai import OpenAIChat
 
-agent = Agent(
-    model=OpenAIChat(model="gpt-4o"),
-    description="You help people with their health and fitness goals.",
-)
+agent = Agent(model=OpenAIChat(id="gpt-4o"), instructions=["Respond in a southern tone"], markdown=True)
 
-agent.print_response("Share a healthy breakfast recipe", stream=True)
+# Get the response in a variable
+# run_response: Iterator[RunResponse] = agent.run("Explain simulation theory", stream=True)
+# for chunk in run_response:
+#     print(chunk.content)
+
+# Print the response in the terminal
+agent.print_response("Explain simulation theory", stream=True)