---
title: "Classifier"
description: "Local-first visual environment for building and running AI workflows. Build agents visually, deploy anywhere, privacy by design."
canonical: https://docs.nodetool.ai/nodes/nodetool/agents/classifier
markdown: https://docs.nodetool.ai/nodes/nodetool/agents/classifier.md
product: NodeTool
source: https://github.com/nodetool-ai/nodetool/blob/main/docs/nodes/nodetool/agents/classifier.md
---

# Classifier

**Type:** `nodetool.agents.Classifier`

**Namespace:** `nodetool.agents`

## Description

Classify text into predefined or dynamic categories using LLM.
    classification, nlp, categorization

    Use cases:
    - Sentiment analysis
    - Topic classification
    - Intent detection
    - Content categorization

## Properties

| Property | Type | Description | Default |
|----------|------|-------------|---------|
| system_prompt | `str` | The system prompt for the classifier | ` You are a precise classifier.  Goal - Select e...` |
| model | `language_model` | Model to use for classification | `{"type":"language_model","provider":"empty","id...` |
| text | `str` | Text to classify | `` |
| image | `image` | Optional image to classify in context | `{"type":"image","uri":"","asset_id":null,"data"...` |
| audio | `audio` | Optional audio to classify in context | `{"type":"audio","uri":"","asset_id":null,"data"...` |
| categories | `list[str]` | List of possible categories. If empty, LLM will determine categories. | `[]` |
| max_tokens | `int` | The maximum number of tokens to generate. | `256` |

## Outputs

| Output | Type | Description |
|--------|------|-------------|
| output | `str` |  |

## Related Nodes

Browse other nodes in the [nodetool.agents](./) namespace.