Agentic AI Development Tools: A Comprehensive Guide for Developers

1from langchain.llms import OpenAI
2from langchain.agents import load_tools
3from langchain.agents import initialize_agent
4
5# Replace with your OpenAI API key
6import os
7os.environ["OPENAI_API_KEY"] = "YOUR_OPENAI_API_KEY"
8
9llm = OpenAI(temperature=0) # You can also use AzureOpenAI or Cohere
10tools = load_tools(["serpapi", "llm-math"], llm=llm)
11
12agent = initialize_agent(tools, llm, agent="zero-shot-react-description", verbose=True)
13
14response = agent.run("What is the current temperature in New York City?")
15print(response)
16

1import autogen
2
3config_list = [
4    {
5        "model": "gpt-4",  # Replace with your desired model
6        "api_key": "YOUR_OPENAI_API_KEY",
7    }
8]
9
10llm_config = {
11    "seed": 42,  # Set the seed for reproducibility
12    "config_list": config_list,  # List of model configurations
13    "temperature": 0,  # Set the temperature for controlled generation
14}
15
16user_proxy = autogen.UserProxyAgent(
17    name="User_proxy",
18    human_input_mode="TERMINATE",
19    max_consecutive_auto_reply=10,
20    is_termination_msg=lambda x: x.get("content", "") and x.get("content", "").rstrip().endswith("TERMINATE"),
21    code_execution_config={
22        "work_dir": "coding",
23        "use_docker": False,
24    },
25    llm_config=llm_config,
26    system_message="""Reply TERMINATE if the task has been solved at full satisfaction. Otherwise, reply CONTINUE, or the reason why the task is not solved.""",
27)
28
29assistant = autogen.AssistantAgent(
30    name="Assistant",
31    llm_config=llm_config,
32    system_message="""You are a helpful assistant.
33Solve tasks using your coding and language skills.""",
34)
35
36user_proxy.initiate_chat(
37    assistant,
38    message="Solve the equation x + 3 = 5 and print the value of x.",
39)
40

1class SimpleAgent:
2    def __init__(self, name):
3        self.name = name
4
5    def process_input(self, input_text):
6        """Processes the input text and returns a response."""
7        if "hello" in input_text.lower():
8            return f"Hello, I am {self.name}!"
9        else:
10            return "I don't understand. Please say hello."
11
12# Create an instance of the agent
13my_agent = SimpleAgent("ExampleAgent")
14
15# Get input from the user
16user_input = input("Enter your message: ")
17
18# Process the input and print the response
19response = my_agent.process_input(user_input)
20print(response)
21