Updating Docs

docs/how-to/Customizing-Agents.md

@@ -17,6 +17,7 @@ Beyond the basic attributes, CrewAI allows for deeper customization to enhance a
 
 ### Language Model Customization
 Agents can be customized with specific language models (`llm`) and function-calling language models (`function_calling_llm`), offering advanced control over their processing and decision-making abilities.
+By default crewAI agents are ReAct agents, but by setting the `function_calling_llm` you can turn them into a function calling agents.
 
 ### Enabling Memory for Agents
 CrewAI supports memory for agents, enabling them to remember past interactions. This feature is critical for tasks requiring awareness of previous contexts or decisions.
@@ -25,11 +26,11 @@ CrewAI supports memory for agents, enabling them to remember past interactions.
 Adjusting an agent's performance and monitoring its operations are crucial for efficient task execution.
 
 ### Verbose Mode and RPM Limit
-- **Verbose Mode**: Enables detailed logging of an agent's actions, useful for debugging and optimization.
+- **Verbose Mode**: Enables detailed logging of an agent's actions, useful for debugging and optimization. Specifically, it provides insights into agent execution processes, aiding in the optimization of performance.
 - **RPM Limit**: Sets the maximum number of requests per minute (`max_rpm`), controlling the agent's query frequency to external services.
 
 ### Maximum Iterations for Task Execution
-The `max_iter` attribute allows users to define the maximum number of iterations an agent can perform for a single task, preventing infinite loops or excessively long executions.
+The `max_iter` attribute allows users to define the maximum number of iterations an agent can perform for a single task, preventing infinite loops or excessively long executions. The default value is set to 15, providing a balance between thoroughness and efficiency. Once the agent approaches this number it will try it's best to give a good answer.
 
 ## Customizing Agents and Tools
 Agents are customized by defining their attributes and tools during initialization. Tools are critical for an agent's functionality, enabling them to perform specialized tasks. In this example we will use the crewAI tools package to create a tool for a research analyst agent.
@@ -42,31 +43,31 @@ pip install 'crewai[tools]'
 ```python
 import os
 from crewai import Agent
-from crewai_tools import SeperDevTool
+from crewai_tools import SerperDevTool
 
 # Set API keys for tool initialization
 os.environ["OPENAI_API_KEY"] = "Your Key"
 os.environ["SERPER_API_KEY"] = "Your Key"
 
 # Initialize a search tool
-search_tool = SeperDevTool()
+search_tool = SerperDevTool()
 
 # Initialize the agent with advanced options
 agent = Agent(
   role='Research Analyst',
   goal='Provide up-to-date market analysis',
   backstory='An expert analyst with a keen eye for market trends.',
-  tools=[serper_tool],
+  tools=[search_tool],
   memory=True,
   verbose=True,
-  max_rpm=10, # Optinal: Limit requests to 10 per minute, preventing API abuse
-  max_iter=5, # Optional: Limit task iterations to 5 before the agent tried to gives its best answer
+  max_rpm=10, # Optional: Limit requests to 10 per minute, preventing API abuse
+  max_iter=5, # Optional: Limit task iterations to 5 before the agent tries to give its best answer
   allow_delegation=False
 )
 ```
 
 ## Delegation and Autonomy
-Controlling an agent's ability to delegate tasks or ask questions is vital for tailoring its autonomy and collaborative dynamics within the CrewAI framework.
+Controlling an agent's ability to delegate tasks or ask questions is vital for tailoring its autonomy and collaborative dynamics within the crewAI framework. By default, the `allow_delegation` attribute is set to `True`, enabling agents to seek assistance or delegate tasks as needed. This default behavior promotes collaborative problem-solving and efficiency within the crewAI ecosystem.
 
 ### Example: Disabling Delegation for an Agent
 ```python
@@ -79,4 +80,4 @@ agent = Agent(
 ```
 
 ## Conclusion
-Customizing agents in CrewAI by setting their roles, goals, backstories, and tools, alongside advanced options like language model customization, memory, and performance settings, equips a nuanced and capable AI team ready for complex challenges.
+Customizing agents in CrewAI by setting their roles, goals, backstories, and tools, alongside advanced options like language model customization, memory, performance settings, and delegation preferences, equips a nuanced and capable AI team ready for complex challenges.