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agent1 / SentimentAnalysisAgent /SentimentAnalysisAgent.py

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from agency_swarm.agents import Agent
from agency_swarm.tools import CodeInterpreter

class SentimentAnalysisAgent(Agent):
    def __init__(self):
        super().__init__(
            name="SentimentAnalysisAgent",
            description="This agent processes news and social media sentiment using NLP libraries like NLTK and spaCy.",
            instructions="./instructions.md",
            files_folder="./files",
            schemas_folder="./schemas",
            tools=[CodeInterpreter],
            tools_folder="./tools",
            temperature=0.3,
            max_prompt_tokens=25000,
        )
        
    def response_validator(self, message):
        return message

	from agency_swarm.agents import Agent
	from agency_swarm.tools import CodeInterpreter

	class SentimentAnalysisAgent(Agent):
	def __init__(self):
	super().__init__(
	name="SentimentAnalysisAgent",
	description="This agent processes news and social media sentiment using NLP libraries like NLTK and spaCy.",
	instructions="./instructions.md",
	files_folder="./files",
	schemas_folder="./schemas",
	tools=[CodeInterpreter],
	tools_folder="./tools",
	temperature=0.3,
	max_prompt_tokens=25000,
	)

	def response_validator(self, message):
	return message