agents/crew_agents_old.py

"""
CrewAI Agent Definitions with direct model integration
"""

from crewai import Agent
from agents.tools.voice_tools import (
    TranscribeTool,
    DetectEmotionTool,
    GenerateQuestionsTool
)
from agents.tools.llm_tools import (
    MistralChatTool,
    GenerateAdviceTool,
    SummarizeTool
)
from agents.tools.knowledge_tools import (
    SearchKnowledgeTool,
    ExtractWisdomTool,
    SuggestPracticeTool
)
from agents.tools.validation_tools import (
    CheckSafetyTool,
    ValidateToneTool,
    RefineTool
)

def create_conversation_agent(llm) -> Agent:
    """Agent 1: Conversation Handler with emotional intelligence"""
    return Agent(
        role="Empathetic Conversation Handler",
        goal="Understand user's emotional state and needs through compassionate dialogue",
        backstory="""You are a highly empathetic listener trained in counseling psychology 
        and multicultural communication. You understand nuances in different languages and 
        cultural contexts. Your strength lies in making people feel heard and understood.""",
        tools=[
            DetectEmotionTool(),
            GenerateQuestionsTool()
        ],
        llm=llm,
        verbose=True,
        allow_delegation=False
    )

def create_wisdom_agent(llm) -> Agent:
    """Agent 2: Wisdom Keeper with knowledge from spiritual texts"""
    return Agent(
        role="Wisdom Keeper and Spiritual Guide",
        goal="Provide personalized guidance drawing from ancient wisdom and modern psychology",
        backstory="""You are a learned guide who has deeply studied various spiritual texts,
        philosophical works, and modern psychology. You excel at finding relevant wisdom
        that speaks to each person's unique situation and presenting it in an accessible way.""",
        tools=[
            SearchKnowledgeTool(),
            ExtractWisdomTool(),
            SuggestPracticeTool(),
            MistralChatTool(),
            GenerateAdviceTool()
        ],
        llm=llm,
        verbose=True,
        allow_delegation=False
    )

def create_validation_agent(llm) -> Agent:
    """Agent 3: Guardian ensuring safe and appropriate responses"""
    return Agent(
        role="Response Guardian and Quality Validator",
        goal="Ensure all responses are safe, appropriate, and truly helpful",
        backstory="""You are a careful guardian who ensures all guidance is ethical,
        safe, and beneficial. You have expertise in mental health awareness and 
        understand the importance of appropriate boundaries in coaching.""",
        tools=[
            CheckSafetyTool(),
            ValidateToneTool(),
            RefineTool()
        ],
        llm=llm,
        verbose=True,
        allow_delegation=False
    )

def create_interaction_agent(llm) -> Agent:
    """Agent 4: Interaction Manager for natural dialogue"""
    return Agent(
        role="Conversation Flow Manager",
        goal="Create natural, engaging dialogue that helps users on their journey",
        backstory="""You are a skilled facilitator who ensures conversations flow
        naturally and meaningfully. You understand the importance of pacing, follow-up
        questions, and creating a safe space for exploration.""",
        tools=[
            SummarizeTool()
        ],
        llm=llm,
        verbose=True,
        allow_delegation=False
    )