export type PatchApiV20LargelanguagemodelsLargeLanguageModelIdArgs = {Accept?: ('application/json' | 'application/hal+json' | 'application/xml' | 'text/xml' | 'text/csv') | undefined, largeLanguageModelId: string, body: {name?: string | undefined, description?: string | undefined, provider?: ('azureOpenAI' | 'openAI' | 'anthropic' | 'googleVertexAI' | 'googleGemini' | 'googleGenAI' | 'alephAlpha' | 'awsBedrock' | 'mistral') | undefined, connectionId?: string | undefined, isDefault?: boolean | undefined}};

export type PatchApiV20LargelanguagemodelsLargeLanguageModelIdOptions = {baseUrl?: string | undefined, APIKeyHeader?: string | undefined, fetch?: typeof fetch | undefined};

/**
 * Update a large language model
 * 
 * PATCH /v2.0/largelanguagemodels/{largeLanguageModelId}
 * 
 * Also accepts auth: APIKeyQueryParam, CXoneTokenHeader, OAuth2
 */
export const patchApiV20LargelanguagemodelsLargeLanguageModelId = async (args: PatchApiV20LargelanguagemodelsLargeLanguageModelIdArgs, options?: PatchApiV20LargelanguagemodelsLargeLanguageModelIdOptions) => {
const {baseUrl = "https://api-trial.cognigy.ai/testing", fetch: fetchFn = fetch, APIKeyHeader} = options ?? {}

const query = new URLSearchParams()
const headers = new Headers()
headers.set('content-type', "application/json")

if (args.Accept != null) headers.set("Accept", String(args.Accept))
if (APIKeyHeader !== undefined) headers.set("X-API-Key", APIKeyHeader)

const url = `${baseUrl.replace(/\/+$/, '')}/v2.0/largelanguagemodels/${encodeURIComponent(String(args.largeLanguageModelId))}${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "PATCH", headers, body: JSON.stringify(args.body)})

if (!res.ok) throw new Error(`Request failed with status ${res.status}`, {cause: {status: res.status, body: await res.text()}})

return undefined
};