> ## 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.

# Chat Options

> Per-call options for Agent.chat: attachments, reasoning, task metadata.

`AgentChatOptions` is the optional second argument to `agent.chat()` — settings that apply to one turn only.

```mermaid theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
graph LR
    P[💬 prompt] --> O[⚙️ chat options]
    O --> A[🤖 Agent turn]
    A --> R([Response])

    classDef in fill:#8B0000,stroke:#7C90A0,color:#fff
    classDef step fill:#189AB4,stroke:#7C90A0,color:#fff

    class P in
    class O,A step
    class R step
```

## Quick Start

```typescript theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
import { Agent } from 'praisonai';

const agent = new Agent({ instructions: 'You are helpful' });
await agent.chat('Summarise this', { reasoningSteps: true });
```

***

## Options

| Option            | Type                      | Notes                                                                                                                     |
| ----------------- | ------------------------- | ------------------------------------------------------------------------------------------------------------------------- |
| `attachments`     | `readonly string[]`       | Image paths, `http(s)://` or `data:` URIs. **Images only**; other inputs warn-and-skip. Ephemeral (never enters history). |
| `reasoningSteps`  | `boolean`                 | Forces a single non-streaming completion; beats `agent.stream` and per-call `stream: true`.                               |
| `taskName`        | `string`                  | Merged into `agent_start` / `agent_complete` hook contexts; read via `agent.getTaskContext()`.                            |
| `taskDescription` | `string`                  | As `taskName`.                                                                                                            |
| `taskId`          | `string`                  | As `taskName`.                                                                                                            |
| `config`          | `Record<string, unknown>` | Forwarded verbatim to a managed backend's `execute()`.                                                                    |

## Examples

```typescript theme={"theme":{"light":"vitesse-light","dark":"vitesse-dark"}}
import { Agent } from 'praisonai';

const agent = new Agent({ instructions: 'Describe and reason' });

// attachments — an image for this turn only
await agent.chat('What is in this picture?', {
  attachments: ['./photo.png', 'https://example.com/chart.png'],
});

// reasoningSteps — one non-streaming reasoning completion
await agent.chat('Prove that sqrt(2) is irrational', { reasoningSteps: true });

// task metadata — travels on the hook contexts, readable afterwards
await agent.chat('Ingest the file', {
  taskName: 'ingest',
  taskDescription: 'load the CSV',
  taskId: 'run-42',
});
console.log(agent.getTaskContext()); // { name: 'ingest', description: 'load the CSV', id: 'run-42' }

// config — forwarded to a managed backend's execute()
await agent.chat('Run this remotely', { config: { region: 'eu-west-1' } });
```

<Note>
  `attachments` are **images only** (`.jpg`, `.jpeg`, `.png`, `.gif`, `.webp`). A non-image or unreadable input is reported through the warning channel and skipped — the turn is never failed. On the AI SDK backend, multimodal attachments emit a "not yet honoured" parity notice.
</Note>

## Related

<CardGroup cols={2}>
  <Card title="Agent" icon="robot" href="/docs/js/agent">
    The chat() method
  </Card>

  <Card title="Streaming" icon="wave-sine" href="/docs/js/streaming">
    Token and event streams
  </Card>
</CardGroup>