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# Introduction
<- Arquivos de configurações necessários (json,yalm, xml).

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# Example configuration file for Agent Microservice
# Copy this file to config.yaml and customize as needed
# Application Settings
APP_NAME: "Agent Microservice"
VERSION: "1.0.0"
DEBUG: false
# Server Settings
HOST: "0.0.0.0"
PORT: 8000
# LLM Configuration
LLM_PROVIDER: "openai" # Options: openai, anthropic
LLM_MODEL: "gpt-4"
LLM_TEMPERATURE: 0.7
LLM_MAX_TOKENS: null # null for no limit, or specify a number
# API Keys (NEVER commit actual keys!)
# Set these via environment variables instead
OPENAI_API_KEY: "your-openai-key-here"
ANTHROPIC_API_KEY: "your-anthropic-key-here"
# Logging Configuration
LOG_LEVEL: "INFO" # Options: DEBUG, INFO, WARNING, ERROR, CRITICAL
LOG_FORMAT: "json" # Options: json, text
# Agent Configuration (Optional)
AGENT_NAME: "Example Agent"
AGENT_DESCRIPTION: "An example agent built with LangGraph"
AGENT_SYSTEM_PROMPT: "You are a helpful AI assistant."
AGENT_MAX_ITERATIONS: 10