json-gpt
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Json-GPT permite interactuar de forma sencilla con el modelo GPT-3.5-turbo en formato JSON
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<h1><a href="index.html">All files</a> utils.ts</h1>
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<span class="strong">50% </span>
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<span class='fraction'>3/6</span>
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<span class="strong">100% </span>
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<span class="strong">33.33% </span>
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<span class='fraction'>1/3</span>
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<span class="strong">60% </span>
<span class="quiet">Lines</span>
<span class='fraction'>3/5</span>
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<tr><td class="line-count quiet"><a name='L1'></a><a href='#L1'>1</a>
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<span class="cline-any cline-neutral"> </span></td><td class="text"><pre class="prettyprint lang-js">import { encoding_for_model } from '@dqbd/tiktoken'
import { z } from 'zod'
import { zodToJsonSchema } from 'zod-to-json-schema';
const tiktoken = encoding_for_model('gpt-3.5-turbo')
export function <span class="fstat-no" title="function not covered" >countChatTokens(</span>messages: Array<{ content: string; }>): number {
const tokens = <span class="cstat-no" title="statement not covered" >tiktoken.encode(messages.map(<span class="fstat-no" title="function not covered" >m </span>=> <span class="cstat-no" title="statement not covered" >m.content)</span>.join(' '))</span>
<span class="cstat-no" title="statement not covered" > return tokens.length + ( messages.length * 5 ) + 3</span>
}
export function getJsonSchema(schema: z.ZodType, name: string) {
const { $schema, ...jsonSchema } = zodToJsonSchema(schema, name)
return jsonSchema
}</pre></td></tr></table></pre>
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at 2023-04-20T20:51:27.664Z
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