agent.conf.example

# Autonomous Agent Configuration File - Example
# Copy this to agent.conf and customize for your environment

[agent]
# System prompt file path
system_prompt = ./prompts/agent_system.prompt

# Logging level (DEBUG, INFO, WARNING, ERROR, CRITICAL)
log_level = INFO

# Maximum iterations for agent reasoning loop (prevents infinite loops)
max_iterations = 10

[llm]
# LLM provider: anthropic or openai
provider = anthropic

# Model to use
# Anthropic: claude-sonnet-4-20250514, claude-3-5-sonnet-20241022, claude-3-haiku-20240307
# OpenAI: gpt-4, gpt-4-turbo, gpt-3.5-turbo
model = claude-sonnet-4-20250514

# Temperature for LLM responses (0.0 to 1.0)
# Lower = more focused/deterministic, Higher = more creative/varied
temperature = 0.7

# Maximum tokens for LLM responses
# Note: Increase for tasks that generate large content (e.g., HTML files, reports)
max_tokens = 8192

[mcp]
# MCP configuration file path (contains MCP server definitions)
config_file = ./mcp_config.json

# Itential MCP configuration file (if using itential-mcp)
itential_mcp_conf = ./itential-mcp.conf

# MCP connection timeout in seconds
timeout = 120