cai/docs/cai/getting-started/configuration.md

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Configuration

Environment Variables

CAI leverages the .env file to load configuration at launch. To facilitate the setup, the repo provides an exemplary .env.example file provides a template for configuring CAI's setup and your LLM API keys to work with desired LLM models.

⚠️ Important:

CAI does NOT provide API keys for any model by default. Don't ask us to provide keys, use your own or host your own models.

⚠️ Note:

The OPENAI_API_KEY must not be left blank. It should contain either "sk-123" (as a placeholder) or your actual API key. See https://github.com/aliasrobotics/cai/issues/27.

List of Environment Variables

For a complete reference organized by use case, see Environment Variables Reference.

Variable Description Default
CTF_NAME Name of the CTF challenge to run (e.g. "picoctf_static_flag") -
CTF_CHALLENGE Specific challenge name within the CTF to test -
CTF_SUBNET Network subnet for the CTF container 192.168.3.0/24
CTF_IP IP address for the CTF container 192.168.3.100
CTF_INSIDE Whether to conquer the CTF from within container true
CAI_MODEL Model to use for agents alias1
CAI_DEBUG Set debug output level (0: Only tool outputs, 1: Verbose debug output, 2: CLI debug output) 1
CAI_BRIEF Enable/disable brief output mode false
CAI_MAX_TURNS Maximum number of turns for agent interactions inf
CAI_MAX_INTERACTIONS Maximum number of interactions (tool calls, agent actions, etc.) allowed in a session. If exceeded, only CLI commands are allowed until increased. If force_until_flag=true, the session will exit inf
CAI_PRICE_LIMIT Price limit for the conversation in dollars. If exceeded, only CLI commands are allowed until increased. If force_until_flag=true, the session will exit 1
CAI_TRACING Enable/disable OpenTelemetry tracing. When enabled, traces execution flow and agent interactions for debugging and analysis true
CAI_AGENT_TYPE Specify the agents to use (e.g., boot2root, one_tool, redteam_agent). Use "/agent" command in CLI to list all available agents redteam_agent
CAI_STATE Enable/disable stateful mode. When enabled, the agent will use a state agent to keep track of the state of the network and the flags found false
CAI_MEMORY Enable/disable memory mode (episodic: use episodic memory, semantic: use semantic memory, all: use both episodic and semantic memory) false
CAI_MEMORY_ONLINE Enable/disable online memory mode false
CAI_MEMORY_OFFLINE Enable/disable offline memory false
CAI_ENV_CONTEXT Add environment context, dirs and current env available true
CAI_MEMORY_ONLINE_INTERVAL Number of turns between online memory updates 5
CAI_SUPPORT_MODEL Model to use for the support agent o3-mini
CAI_SUPPORT_INTERVAL Number of turns between support agent executions 5
CAI_STREAM Enable/disable streaming output in rich panel false
CAI_TELEMETRY Enable/disable telemetry true
CAI_PARALLEL Number of parallel agent instances to run. When set to values greater than 1, executes multiple instances of the same agent in parallel and displays all results 1
CAI_GUARDRAILS Enable/disable security guardrails for agents. When set to "true", applies security guardrails to prevent potentially dangerous outputs and inputs false
CAI_GCTR_NITERATIONS Number of tool interactions before triggering GCTR (Generative Cut-The-Rope) analysis in bug_bounter_gctr agent. Only applies when using gctr-enabled agents 5
CAI_ACTIVE_CONTAINER Docker container ID where commands should be executed. When set, shell commands and tools execute inside the specified container instead of the host. Automatically set when CTF challenges start (if CTF_INSIDE=true) or when switching containers via /virtualization command -
CAI_TOOL_TIMEOUT Override the default timeout for tool command executions in seconds. When set, this value overrides all default timeouts for shell commands and tool executions varies (10s for interactive, 100s for regular)

Custom OpenAI Base URL Support

CAI supports configuring a custom OpenAI API base URL via the OPENAI_BASE_URL environment variable. This allows users to redirect API calls to a custom endpoint, such as a proxy or self-hosted OpenAI-compatible service.

Example .env entry configuration:

OLLAMA_API_BASE="https://custom-openai-proxy.com/v1"

Or directly from the command line:

OLLAMA_API_BASE="https://custom-openai-proxy.com/v1" cai

OpenRouter Integration

The Cybersecurity AI (CAI) platform offers seamless integration with OpenRouter, a unified interface for Large Language Models (LLMs). This integration is crucial for users who wish to leverage advanced AI capabilities in their cybersecurity tasks. OpenRouter acts as a bridge, allowing CAI to communicate with various LLMs, thereby enhancing the flexibility and power of the AI agents used within CAI.

To enable OpenRouter support in CAI, you need to configure your environment by adding specific entries to your .env file. This setup ensures that CAI can interact with the OpenRouter API, facilitating the use of sophisticated models like Meta-LLaMA. Here's how you can configure it:

CAI_AGENT_TYPE=redteam_agent
CAI_MODEL=openrouter/meta-llama/llama-4-maverick
OPENROUTER_API_KEY=<sk-your-key>  # note, add yours
OPENROUTER_API_BASE=https://openrouter.ai/api/v1