import {z} from 'zod'

export type CreateApiOpenaiV1ResponsesResponseIdCancelArgs = {response_id: string, provider?: string | undefined};

export type CreateApiOpenaiV1ResponsesResponseIdCancelOptions = {baseUrl?: string | undefined, BearerAuth?: string | undefined, fetch?: typeof fetch | undefined};

export const cacheControl = z.object({type: z.literal("ephemeral").optional(), ttl: z.string().optional()});

export const bifrostCost = z.object({input_tokens_cost: z.number().optional(), output_tokens_cost: z.number().optional(), reasoning_tokens_cost: z.number().optional(), citation_tokens_cost: z.number().optional(), search_queries_cost: z.number().optional(), request_cost: z.number().optional(), total_cost: z.number().optional()});

export const modelProvider = z.enum(["openai", "azure", "anthropic", "bedrock", "cohere", "vertex", "vllm", "mistral", "ollama", "groq", "sgl", "parasail", "perplexity", "replicate", "cerebras", "deepseek", "gemini", "openrouter", "elevenlabs", "huggingface", "nebius", "xai", "runway", "fireworks"]);

export const bifrostCacheDebug = z.object({cache_hit: z.boolean().optional(), cache_id: z.string().optional(), hit_type: z.string().optional(), requested_provider: z.string().optional(), requested_model: z.string().optional(), provider_used: z.string().optional(), model_used: z.string().optional(), input_tokens: z.number().int().optional(), threshold: z.number().optional(), similarity: z.number().optional()});

export const bifrostResponseExtraFields = z.object({request_type: z.string().optional(), provider: modelProvider.optional(), model_requested: z.string().optional(), model_deployment: z.string().optional(), latency: z.number().int().optional(), chunk_index: z.number().int().optional(), raw_request: z.object({}).optional(), raw_response: z.object({}).optional(), cache_debug: bifrostCacheDebug.optional()});

export const perplexitySearchResult = z.object({title: z.string().optional(), url: z.string().optional(), date: z.string().optional(), last_updated: z.string().optional(), snippet: z.string().optional(), source: z.string().optional()});

export const perplexityVideoResult = z.object({url: z.string().optional(), thumbnail_url: z.string().optional(), thumbnail_width: z.number().int().optional(), thumbnail_height: z.number().int().optional(), duration: z.number().optional()});

export const responsesResponse = z.object({id: z.string().optional(), background: z.boolean().optional(), conversation: z.object({}).optional(), created_at: z.number().int().optional(), error: z.object({code: z.string(), message: z.string()}).optional(), include: z.array(z.string()).optional(), incomplete_details: z.object({reason: z.string()}).optional(), instructions: z.object({}).optional(), max_output_tokens: z.number().int().optional(), max_tool_calls: z.number().int().optional(), metadata: z.object({}).optional(), model: z.string().optional(), output: z.array(z.object({id: z.string().optional(), type: z.enum(["message", "file_search_call", "computer_call", "computer_call_output", "web_search_call", "web_fetch_call", "function_call", "function_call_output", "code_interpreter_call", "local_shell_call", "local_shell_call_output", "mcp_call", "custom_tool_call", "custom_tool_call_output", "image_generation_call", "mcp_list_tools", "mcp_approval_request", "mcp_approval_responses", "reasoning", "item_reference", "refusal"]).optional(), status: z.enum(["in_progress", "completed", "incomplete", "interpreting", "failed"]).optional(), role: z.enum(["assistant", "user", "system", "developer"]).optional(), content: z.union([z.string(), z.array(z.object({type: z.enum(["input_text", "input_image", "input_file", "input_audio", "output_text", "refusal", "reasoning_text"]), file_id: z.string().optional(), text: z.string().optional(), signature: z.string().optional(), image_url: z.string().optional(), detail: z.string().optional(), file_data: z.string().optional(), file_url: z.string().optional(), filename: z.string().optional(), file_type: z.string().optional(), input_audio: z.object({format: z.enum(["mp3", "wav"]), data: z.string()}).optional(), annotations: z.array(z.object({type: z.enum(["file_citation", "url_citation", "container_file_citation", "file_path"]).optional(), index: z.number().int().optional(), file_id: z.string().optional(), text: z.string().optional(), start_index: z.number().int().optional(), end_index: z.number().int().optional(), filename: z.string().optional(), title: z.string().optional(), url: z.string().optional(), container_id: z.string().optional()})).optional(), logprobs: z.array(z.object({bytes: z.array(z.number().int()).optional(), logprob: z.number().optional(), token: z.string().optional(), top_logprobs: z.array(z.object({bytes: z.array(z.number().int()).optional(), logprob: z.number().optional(), token: z.string().optional()})).optional()})).optional(), refusal: z.string().optional(), cache_control: cacheControl.optional()}))]).optional(), call_id: z.string().optional(), name: z.string().optional(), arguments: z.string().optional(), output: z.union([z.string(), z.array(z.object({type: z.enum(["input_text", "input_image", "input_file", "input_audio", "output_text", "refusal", "reasoning_text"]), file_id: z.string().optional(), text: z.string().optional(), signature: z.string().optional(), image_url: z.string().optional(), detail: z.string().optional(), file_data: z.string().optional(), file_url: z.string().optional(), filename: z.string().optional(), file_type: z.string().optional(), input_audio: z.object({format: z.enum(["mp3", "wav"]), data: z.string()}).optional(), annotations: z.array(z.object({type: z.enum(["file_citation", "url_citation", "container_file_citation", "file_path"]).optional(), index: z.number().int().optional(), file_id: z.string().optional(), text: z.string().optional(), start_index: z.number().int().optional(), end_index: z.number().int().optional(), filename: z.string().optional(), title: z.string().optional(), url: z.string().optional(), container_id: z.string().optional()})).optional(), logprobs: z.array(z.object({bytes: z.array(z.number().int()).optional(), logprob: z.number().optional(), token: z.string().optional(), top_logprobs: z.array(z.object({bytes: z.array(z.number().int()).optional(), logprob: z.number().optional(), token: z.string().optional()})).optional()})).optional(), refusal: z.string().optional(), cache_control: cacheControl.optional()})), z.object({type: z.literal("computer_screenshot").optional(), file_id: z.string().optional(), image_url: z.string().optional()})]).optional(), action: z.object({}).optional(), error: z.string().optional(), queries: z.array(z.string()).optional(), results: z.array(z.object({})).optional(), summary: z.array(z.object({type: z.literal("summary_text"), text: z.string()})).optional(), encrypted_content: z.string().optional()})).optional(), parallel_tool_calls: z.boolean().optional(), previous_response_id: z.string().optional(), prompt: z.object({}).optional(), prompt_cache_key: z.string().optional(), reasoning: z.object({effort: z.enum(["none", "minimal", "low", "medium", "high", "xhigh"]).optional(), generate_summary: z.string().optional(), summary: z.enum(["auto", "concise", "detailed"]).optional(), max_tokens: z.number().int().optional()}).optional(), safety_identifier: z.string().optional(), service_tier: z.string().optional(), status: z.enum(["completed", "failed", "in_progress", "canceled", "queued", "incomplete"]).optional(), stop_reason: z.string().optional(), store: z.boolean().optional(), temperature: z.number().optional(), text: z.object({format: z.object({type: z.enum(["text", "json_schema", "json_object"]), name: z.string().optional(), schema: z.object({}).optional(), strict: z.boolean().optional()}).optional(), verbosity: z.enum(["low", "medium", "high"]).optional()}).optional(), top_logprobs: z.number().int().optional(), top_p: z.number().optional(), tool_choice: z.union([z.enum(["none", "auto", "required"]), z.object({type: z.enum(["none", "auto", "any", "required", "function", "allowed_tools", "file_search", "web_search_preview", "computer_use_preview", "code_interpreter", "image_generation", "mcp", "custom"]), mode: z.string().optional(), name: z.string().optional(), server_label: z.string().optional(), tools: z.array(z.object({type: z.enum(["function", "mcp", "image_generation"]), name: z.string().optional(), server_label: z.string().optional()})).optional()})]).optional(), tools: z.array(z.object({type: z.enum(["function", "file_search", "computer_use_preview", "web_search", "web_fetch", "mcp", "code_interpreter", "image_generation", "local_shell", "custom", "web_search_preview", "memory", "tool_search"]), name: z.string().optional(), description: z.string().optional(), cache_control: cacheControl.optional(), parameters: z.object({type: z.string().optional(), description: z.string().optional(), required: z.array(z.string()).optional(), properties: z.record(z.string(), z.unknown()).optional(), enum: z.array(z.string()).optional(), additionalProperties: z.boolean().optional()}).optional(), strict: z.boolean().optional(), vector_store_ids: z.array(z.string()).optional(), filters: z.object({}).optional(), max_num_results: z.number().int().optional(), ranking_options: z.object({}).optional(), display_height: z.number().int().optional(), display_width: z.number().int().optional(), environment: z.string().optional(), enable_zoom: z.boolean().optional(), search_context_size: z.string().optional(), user_location: z.object({}).optional(), server_label: z.string().optional(), server_url: z.string().optional(), allowed_tools: z.object({}).optional(), authorization: z.string().optional(), connector_id: z.string().optional(), headers: z.record(z.string(), z.string()).optional(), require_approval: z.object({}).optional(), server_description: z.string().optional(), container: z.object({}).optional(), background: z.string().optional(), input_fidelity: z.string().optional(), input_image_mask: z.object({}).optional(), moderation: z.string().optional(), output_compression: z.number().int().optional(), output_format: z.string().optional(), partial_images: z.number().int().optional(), quality: z.string().optional(), size: z.string().optional(), format: z.object({}).optional()})).optional(), truncation: z.string().optional(), usage: z.object({input_tokens: z.number().int().optional(), input_tokens_details: z.object({text_tokens: z.number().int().optional(), audio_tokens: z.number().int().optional(), image_tokens: z.number().int().optional(), cached_read_tokens: z.number().int().optional(), cached_write_tokens: z.number().int().optional()}).optional(), output_tokens: z.number().int().optional(), output_tokens_details: z.object({text_tokens: z.number().int().optional(), accepted_prediction_tokens: z.number().int().optional(), audio_tokens: z.number().int().optional(), reasoning_tokens: z.number().int().optional(), rejected_prediction_tokens: z.number().int().optional(), citation_tokens: z.number().int().optional(), num_search_queries: z.number().int().optional()}).optional(), total_tokens: z.number().int().optional(), cost: bifrostCost.optional()}).optional(), extra_fields: bifrostResponseExtraFields.optional(), search_results: z.array(perplexitySearchResult).optional(), videos: z.array(perplexityVideoResult).optional(), citations: z.array(z.string()).optional()});

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
};

/**
 * Cancel a response (OpenAI format)
 * 
 * POST /openai/v1/responses/{response_id}/cancel
 * 
 * Also accepts auth: BasicAuth, VirtualKeyAuth, ApiKeyAuth
 */
export const createApiOpenaiV1ResponsesResponseIdCancel = async (args: CreateApiOpenaiV1ResponsesResponseIdCancelArgs, options?: CreateApiOpenaiV1ResponsesResponseIdCancelOptions) => {
const {baseUrl = "http://localhost:8080", fetch: fetchFn = fetch, BearerAuth} = options ?? {}

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

if (args.provider != null) query.append("provider", String(args.provider))
if (BearerAuth !== undefined) headers.set('authorization', `Bearer ${BearerAuth}`)

const url = `${baseUrl.replace(/\/+$/, '')}/openai/v1/responses/${encodeURIComponent(String(args.response_id))}/cancel${query.size > 0 ? `?${query}` : ''}`

const res = await fetchFn(url, {method: "POST", headers})

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

return validateResponse(responsesResponse, await res.json())
};