# Agents
`vet` natively supports AI agents with MCP based integration for tools.
To get started, set an API key for the LLM you want to use. Example:
```bash
export OPENAI_API_KEY=sk-...
export ANTHROPIC_API_KEY=sk-...
export GEMINI_API_KEY=AIza...
```
> **Note:** You can also set the model to use with `OPENAI_MODEL_OVERRIDE`, `ANTHROPIC_MODEL_OVERRIDE` and `GEMINI_MODEL_OVERRIDE` environment variables to override the default model used by the agent.
## Fast Mode
All agents support a `--fast` flag to use a faster LLM model instead of a slower but more powerful reasoning model. This is only for influencing the default choice of model. It can be overridden by setting model provider specific environment variables such as `OPENAI_MODEL_OVERRIDE`, `ANTHROPIC_MODEL_OVERRIDE` and `GEMINI_MODEL_OVERRIDE`.
## Available Agents
### Query Agent
The query agent helps run query and analysis over vet's sqlite3 reporting database. To use it:
* Run a `vet` scan and generate report in sqlite3 format
```bash
vet scan --insights-v2 -M package-lock.json --report-sqlite3 report.db
```
**Note:** Agents only work with `--insights-v2`
* Start the query agent
```bash
vet agent query --db report.db
```
* Thats it! Start asking questions about the scan results.
### ClawHub Skill Scanner
The ClawHub skill scanner agent analyzes [ClawHub](https://clawhub.ai) skills for security issues using AI. It reads skill metadata, lists files, and inspects source code to produce a security assessment.
```bash
vet agent clawhub-scanner --skill <skill-slug>
```
Use `--interactive` to start a conversational TUI where you can ask follow-up questions about the skill's security:
```bash
vet agent clawhub-scanner --skill <skill-slug> --interactive
```
Use `--prompt` to provide a custom analysis prompt instead of the default:
```bash
vet agent clawhub-scanner --skill <skill-slug> --prompt "Check for credential leaks"
```
