> For the complete documentation index, see [llms.txt](https://docs.rewst.help/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.rewst.help/documentation/automations/subworkflows/rewst-master-v2-psa-halo-get-agents.md).

# \[Rewst Master v2] PSA-Halo: Get Agents

This workflow serves as a fundamental data retrieval building block that pulls a complete list of technicians/agents from Halo PSA, providing essential personnel data that can be utilized in more complex automation sequences. MSPs would find this function valuable when building ticket assignment workflows, creating technician availability reports, implementing skill-based routing, or developing any automation that requires filtering or assigning work based on agent attributes. Technically, the workflow executes a straightforward API call to Halo PSA that retrieves all agent records, returning them as a structured array that other workflows can filter, iterate through, or use for decision-making processes without requiring administrators to manually extract this information each time it's needed.

This workflow contains 1 task.

### Inputs

* **choose\_variable** - string

### Outputs

* **options**: Array of agent objects.

### Key tasks

* **list\_agents**: HaloPSA integration: List Agents

### Jinja examples

#### Example 1

```jinja
{{ [{"id": agents.id, "label": agents.name, "default": true if agents.id == ORG.VARIABLES[CTX.choose_variable]|d|int else false} for agents in TASKS.list_agents.result.result] }}
```


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.rewst.help/documentation/automations/subworkflows/rewst-master-v2-psa-halo-get-agents.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.
