Const AlphaA stable callback that triggers the action and resolves a Promise with the prompt result.
This hook provides a stable callback to send prompts to the Content Agent and receive responses. Unlike the other agent action hooks, this one does not modify documents—it simply returns the AI's response.
Features:
$variables as other actions.format: 'string' or 'json' (instruction must contain the word "json" for JSON responses).instructionParams for dynamic content (constants, fields, documents, GROQ queries).temperature for controlling response creativity.import {useState} from 'react'
import {useAgentPrompt} from '@sanity/sdk-react'
function AskQuestion() {
const prompt = useAgentPrompt()
const [answer, setAnswer] = useState<string>('')
const handleAsk = async () => {
const result = await prompt({
instruction: 'What are the top 3 benefits of content modeling?',
format: 'string',
})
setAnswer(result.output)
}
return (
<div>
<button onClick={handleAsk}>Ask AI</button>
{answer && <p>{answer}</p>}
</div>
)
}
import {useState} from 'react'
import {useAgentPrompt} from '@sanity/sdk-react'
interface TagSuggestions {
tags: string[]
reasoning: string
}
function SuggestTags({documentId}: {documentId: string}) {
const prompt = useAgentPrompt()
const [suggestions, setSuggestions] = useState<TagSuggestions | null>(null)
const handleSuggest = async () => {
const result = await prompt({
instruction: `
Based on the following article title and content, suggest relevant tags.
Return as json with "tags" (array of strings) and "reasoning" (string).
Title: $title
Content: $body
`,
instructionParams: {
title: {type: 'field', path: 'title', documentId},
body: {type: 'field', path: 'body', documentId},
},
format: 'json',
})
setSuggestions(result.output as TagSuggestions)
}
return (
<div>
<button onClick={handleSuggest}>Suggest Tags</button>
{suggestions && (
<div>
<p>Reasoning: {suggestions.reasoning}</p>
<ul>
{suggestions.tags.map((tag) => (
<li key={tag}>{tag}</li>
))}
</ul>
</div>
)}
</div>
)
}
Prompts the Content Agent using the same instruction template format as other agent actions.