Create a chat completion

//native

type Telnyx = {

	apiKey: string

}

/**

 * Create a chat completion

 * Chat with a language model. This endpoint is consistent with the [OpenAI Chat Completions API](https://platform.openai.com/docs/api-reference/chat) and may be used with the OpenAI JS or Python SDK.

 */

export async function main(

	auth: Telnyx,

	body: {

		messages: {

			content: string | { type: 'text' | 'image_url'; text?: string; image_url?: string }[]

			role: 'system' | 'user' | 'assistant' | 'tool'

		}[]

		model?: string

		stream?: false | true

		temperature?: number

		max_tokens?: number

		tools?:

			| {

					type: 'function'

					function: { name: string; description?: string; parameters?: {} }

			  }

			| {

					type: 'retrieval'

					retrieval: { bucket_ids: string[]; max_num_results?: number }

			  }[]

		tool_choice?: 'none' | 'auto' | 'required'

		response_format?: { type: 'text' | 'json_object' }

		guided_json?: {}

		guided_regex?: string

		guided_choice?: string[]

		min_p?: number

		n?: number

		use_beam_search?: false | true

		best_of?: number

		length_penalty?: number

		early_stopping?: false | true

		logprobs?: false | true

		top_logprobs?: number

		frequency_penalty?: number

		presence_penalty?: number

		top_p?: number

		openai_api_key?: string

	}

) {

	const url = new URL(`https://api.telnyx.com/v2/ai/chat/completions`)

	const response = await fetch(url, {

		method: 'POST',

		headers: {

			'Content-Type': 'application/json',

			Authorization: 'Bearer ' + auth.apiKey

		},

		body: JSON.stringify(body)

	})

	if (!response.ok) {

		const text = await response.text()

		throw new Error(`${response.status} ${text}`)

	}

	return await response.json()

}