> ## Documentation Index
> Fetch the complete documentation index at: https://praison.ai/docs/llms.txt
> Use this file to discover all available pages before exploring further.

# result • AI Agent SDK

> EmbeddingResult dataclass for embedding responses.

# result

<Badge color="blue">AI Agent</Badge>

EmbeddingResult dataclass for embedding responses.

This module provides a structured result type for embedding operations,
matching the OpenAI embedding response format.

## Import

```python theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
from praisonaiagents.embedding import result
```

## Classes

<CardGroup cols={2}>
  <Card title="EmbeddingResult" icon="brackets-curly" href="../classes/EmbeddingResult">
    Result from embedding generation.
  </Card>
</CardGroup>