# Build your first agent in just a few minutes with [Rasa Copilot](https://hello.rasa.com/?utm_source=docs&utm_medium=referral&utm_campaign=docs_cta).

## On this page

In Rasa, policies are the components responsible for dialogue management. In a CALM-based assistant, the [FlowPolicy](/content/docs/reference/config/policies/flow-policy/index.html) is responsible for executing your business logic. If you're building an NLU-based assistant, you can read about the relevant policies [here](https://legacy-docs-oss.rasa.com/docs/rasa/policies).

## Policies in CALM

[Dialogue Understanding](/content/docs/learn/concepts/dialogue-understanding/index.html) in CALM accounts for the context of a conversation, so the role of the dialogue manager is simpler than it is in an NLU-based assistant.

You can customize the policies your assistant uses by specifying the `policies` key in your project's `config.yml`. In most cases, the default configuration should meet your needs, customization is there for advanced use-cases.

There are different policies to choose from, and you can include multiple policies in a single configuration. Here's an example of what a list of policies might look like:

- Rasa Pro <=3.7.x
- Rasa Pro >=3.8.x

### config.yml

```yaml
# ...

policies:
  - name: FlowPolicy
  - name: rasa_plus.ml.EnterpriseSearchPolicy
```

### config.yml

```yaml
# ...

policies:
  - name: FlowPolicy
  - name: EnterpriseSearchPolicy
```

## Action Selection

At every turn, each policy defined in your configuration gets a chance to predict a next [action](/content/docs/reference/primitives/actions/index.html) with a certain confidence level. A policy can also decide not to predict any action. The policy that predicts with the highest confidence decides the assistant's next action.

### Maximum number of predictions

By default, when using CALM assistant (or routing to it, in case of [coexistence of NLU-based and CALM systems](/content/docs/pro/calm-with-nlu/migrating-from-nlu/index.html)) the maximum number of next action predictions after each user message is 1000. To update this value, you can set the environment variable `MAX_NUMBER_OF_PREDICTIONS_CALM` to the desired number of maximum predictions. For an NLU-based assistant the maximum is set in the environment variable `MAX_NUMBER_OF_PREDICTIONS` with a default of 10.