Add basic and weather agent implementations with ReAct pattern and API integration

Author: SayamAlt

Generative AI with Langchain/Agents/basic_agents.py

@@ -0,0 +1,40 @@
+from langchain.chat_models import ChatOpenAI
+from langchain_core.tools import tool
+from langchain_community.tools import DuckDuckGoSearchRun
+from dotenv import load_dotenv
+from langchain.agents import create_react_agent, AgentExecutor
+from langchain import hub
+import os, warnings, requests
+warnings.filterwarnings('ignore')
+
+load_dotenv()
+openai_api_key = os.getenv('OPENAI_API_KEY')
+
+llm = ChatOpenAI(api_key=openai_api_key)
+
+search_tool = DuckDuckGoSearchRun()
+
+results = search_tool.invoke("top news in football today")
+# print(results)
+
+# Pull the ReAct prompt from the LangChain Hub
+prompt = hub.pull("hwchase17/react") # pulls the standard react agent prompt
+
+# ReAct = Reasoning + Acting It's a design pattern
+# Create a ReAct agent with the pulled prompt
+agent = create_react_agent(
+ llm=llm,
+ tools=[search_tool],
+ prompt=prompt
+)
+
+# Wrap the agent with an executor
+agent_executor = AgentExecutor(
+ agent=agent,
+ tools=[search_tool],
+ verbose=True
+)
+
+query = "Give a detailed overview of the results of today's IPL match between MI and RR"
+result = agent_executor.invoke({"input": query})
+print(result['output'])

Generative AI with Langchain/Agents/weather_agent.py

@@ -0,0 +1,44 @@
+import os, warnings, requests
+warnings.filterwarnings('ignore')
+from dotenv import load_dotenv
+from langchain_core.tools import tool
+from langchain.chat_models import ChatOpenAI
+from langchain.agents import create_react_agent, AgentExecutor
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain import hub
+
+load_dotenv()
+openai_api_key = os.getenv('OPENAI_API_KEY')
+weatherstack_api_key = os.getenv('WEATHERSTACK_API_KEY')
+
+llm = ChatOpenAI(api_key=openai_api_key)
+search_tool = DuckDuckGoSearchRun()
+
+@tool
+def get_weather_data(city: str) -> str:
+ """
+ This function fetches the current weather data for a given city.
+ """
+ response = requests.get(f"https://api.weatherstack.com/current?access_key={weatherstack_api_key}&query={city}")
+ return response.json()
+
+# Pull the ReAct prompt from LangChain Hub
+prompt = hub.pull("hwchase17/react")
+
+# Create a ReAct agent with the pulled prompt
+agent = create_react_agent(
+ llm=llm,
+ tools=[search_tool, get_weather_data],
+ prompt=prompt
+)
+
+# Wrap it with AgentExecutor
+agent_executor = AgentExecutor.from_agent_and_tools(
+ agent=agent,
+ tools=[search_tool, get_weather_data],
+ verbose=True
+)
+
+query = "Find the capital of Scotland and find its current weather condition."
+response = agent_executor.invoke({"input": query})
+print(response['output'])