import {z} from 'zod'

export type CustomLLMProvider = 'openai_compatible' | 'ollama' | 'openrouter' | 'gemini';

export type CustomLLMConfig = {display_name: string, provider: CustomLLMProvider, model_name: string, api_base?: (string | null) | undefined, api_key?: (string | null) | undefined, api_version?: (string | null) | undefined, supports_vision?: boolean | undefined, add_assistant_prefix?: boolean | undefined, max_completion_tokens?: (number | null) | undefined, temperature?: (number | null) | undefined, reasoning_effort?: (string | null) | undefined, extra_parameters?: {[key: string]: unknown} | undefined};

export type CustomLLMUpdateRequest = {config: CustomLLMConfig};

export type UpdateApiV1CustomLlmsCustomLlmIdArgs = {custom_llm_id: string, body: CustomLLMUpdateRequest};

export type UpdateApiV1CustomLlmsCustomLlmIdOptions = {baseUrl?: string | undefined, ApiKeyAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const customLLMProvider = z.enum(["openai_compatible", "ollama", "openrouter", "gemini"]);

export const customLLMConfig = z.object({display_name: z.string().min(1).max(120), provider: customLLMProvider, model_name: z.string().min(1).max(250), api_base: z.string().max(500).nullable().optional(), api_key: z.string().max(1000).nullable().optional(), api_version: z.string().max(100).nullable().optional(), supports_vision: z.boolean().optional(), add_assistant_prefix: z.boolean().optional(), max_completion_tokens: z.number().int().gte(1).lte(1000000).nullable().optional(), temperature: z.number().gte(0).lte(2).nullable().optional(), reasoning_effort: z.string().max(50).nullable().optional(), extra_parameters: z.record(z.string(), z.unknown()).optional()});

export const customLLM = z.object({id: z.string(), organization_id: z.string(), config: customLLMConfig, created_at: z.string(), modified_at: z.string(), valid: z.boolean()});

export const customLLMResponse = z.object({custom_llm: customLLM});

export const validateResponse = async <Output>(
  schema: {
    readonly '~standard': {
      readonly validate: (value: unknown) => ({ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }) | Promise<{ readonly value: Output; readonly issues?: undefined } | { readonly issues: ReadonlyArray<{ readonly message: string; readonly path?: ReadonlyArray<PropertyKey | { readonly key: PropertyKey }> | undefined }> }>
    }
  },
  value: unknown
): Promise<Output> => {
  const result = await schema['~standard'].validate(value)

  if (result.issues !== undefined) {
    const detail = result.issues
      .map(({ message, path }) =>
        path?.length
          ? `${path.map((segment) => String(typeof segment === 'object' ? segment.key : segment)).join('.')}: ${message}`
          : message
      )
      .join('; ')

    throw new Error(`Response does not match the schema: ${detail}`, { cause: { issues: result.issues } })
  }

  return result.value
};

/**
 * Update Custom LLM
 * 
 * PUT /v1/custom-llms/{custom_llm_id}
 */
export const updateApiV1CustomLlmsCustomLlmId = async (args: UpdateApiV1CustomLlmsCustomLlmIdArgs, options?: UpdateApiV1CustomLlmsCustomLlmIdOptions) => {
const {baseUrl = "https://api.skyvern.com", fetch: fetchFn = fetch, ApiKeyAuth} = options ?? {}

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

if (ApiKeyAuth !== undefined) headers.set("x-api-key", ApiKeyAuth)

const url = `${baseUrl.replace(/\/+$/, '')}/v1/custom-llms/${encodeURIComponent(String(args.custom_llm_id))}${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "PUT", 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 validateResponse(customLLMResponse, await res.json())
};