Initialize CrewAI Agents and Tools

Begin by setting up your CrewAI environment. Define three core agents: a 'PromptMonitor' to ingest and filter raw prompts, a 'BrandAnalyzer' to extract brands and determine sentiment using DeepSeek R1, and a 'ReportGenerator' to synthesize findings. Each agent should have distinct roles and goals. Configure tools for `ZapierInterfaces` to receive new prompts (simulate via webhook) and `KoreAIAssistant` for custom workflow automation (e.g., triggering alerts). Integrate DeepSeek R1 via its API for the BrandAnalyzer's core reasoning. Use the following snippet to start your agent definitions: ```python
from crewai import Agent, Task, Crew, Process
from langchain_community.llms import DeepSeekLLM # Example integration class CustomZapierTool: # Placeholder for actual Zapier integration # ... methods for Zapier interactions pass class CustomKoreAITool: # Placeholder for actual Kore.ai interactions # ... methods for Kore.ai interactions pass deepseek_llm = DeepSeekLLM(model='DeepSeek R1', api_key='YOUR_DEEPSEEK_API_KEY') prompt_monitor = Agent( role='Prompt Monitor', goal='Ingest and pre-process raw AI-generated prompts.', backstory='Expert in data ingestion and filtering, ensuring only relevant prompts are passed for analysis.', tools=[CustomZapierTool()], llm=deepseek_llm, verbose=True
) # Define other agents and their tasks here...
```
Focus on defining the agents' roles, goals, and the initial set of tools they will use. Make sure the BrandAnalyzer explicitly uses DeepSeek R1 for sentiment analysis.