adding agent
Browse files- gemini_agent.py +69 -0
gemini_agent.py
ADDED
@@ -0,0 +1,69 @@
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from typing import List
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from langchain_community.tools.ddg_search import DuckDuckGoSearchRun
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from langchain.agents import AgentType, initialize_agent
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from langchain.tools.base import BaseTool
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain_core.messages import SystemMessage
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from langchain.memory import ConversationBufferMemory
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class GeminiAgent:
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def __init__(self, api_key: str, model_name: str = "gemini-2.0-flash"):
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# Suppress warnings
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import warnings
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warnings.filterwarnings("ignore", category=UserWarning)
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warnings.filterwarnings("ignore", category=DeprecationWarning)
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warnings.filterwarnings("ignore", message=".*will be deprecated.*")
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warnings.filterwarnings("ignore", "LangChain.*")
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self.api_key = api_key
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self.model_name = model_name
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self.agent = self._setup_agent()
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def _setup_agent(self):
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# Initialize model with system message
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model = ChatGoogleGenerativeAI(
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model=self.model_name,
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google_api_key=self.api_key,
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temperature=0, # Lower temperature for faster, more focused responses
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max_output_tokens=200, # Limit response length
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convert_system_message_to_human=True, # Faster processing of system message
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stream=True, # Enable streaming for faster initial response
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system_message=SystemMessage(content="You are a concise AI assistant. Provide a short and accurate answer. Preferable answer should be in one word or line. Unless if query asked expects an elaborate answer.")
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)
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# Setup tools
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tools: List[BaseTool] = [DuckDuckGoSearchRun()]
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# Setup memory
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memory = ConversationBufferMemory(
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memory_key="chat_history",
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return_messages=True
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)
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# Create and return agent
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return initialize_agent(
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tools,
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model,
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agent=AgentType.CHAT_CONVERSATIONAL_REACT_DESCRIPTION,
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memory=memory,
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verbose=False,
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handle_parsing_errors=True
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)
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def run(self, query: str) -> str:
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try:
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result = self.agent.invoke({"input": query})
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return result["output"]
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except Exception as e:
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return f"Error: {e}"
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def run_interactive(self):
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print("AI Assistant Ready! (Type 'exit' to quit)")
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while True:
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query = input("You: ").strip()
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if query.lower() == 'exit':
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print("Goodbye!")
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break
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print("Assistant:", self.run(query))
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