import { n as clampThinkingLevel, t as calculateCost } from "./models-DLe4jxeD.js";
import { n as getEnvApiKey } from "./env-api-keys-BYCyQooC.js";
import { t as AssistantMessageEventStream } from "./event-stream-DMF9je2P.js";
import { n as parseStreamingJson } from "./json-parse-_aR2PLFY.js";
import { t as headersToRecord } from "./headers-C4Qz3Ocl.js";
import { i as sanitizeSurrogates, r as buildBaseOptions, t as transformMessages } from "./transform-messages-CDzZFJ8Z.js";
import { i as resolveCloudflareBaseUrl, n as hasCopilotVisionInput, r as isCloudflareProvider, t as buildCopilotDynamicHeaders } from "./github-copilot-headers-Cxuq_BM_.js";
import OpenAI from "openai";
//#region node_modules/@mariozechner/pi-ai/dist/providers/openai-completions.js
/**
* Check if conversation messages contain tool calls or tool results.
* This is needed because Anthropic (via proxy) requires the tools param
* to be present when messages include tool_calls or tool role messages.
*/
function hasToolHistory(messages) {
	for (const msg of messages) {
		if (msg.role === "toolResult") return true;
		if (msg.role === "assistant") {
			if (msg.content.some((block) => block.type === "toolCall")) return true;
		}
	}
	return false;
}
function isTextContentBlock(block) {
	return block.type === "text";
}
function isThinkingContentBlock(block) {
	return block.type === "thinking";
}
function isToolCallBlock(block) {
	return block.type === "toolCall";
}
function isImageContentBlock(block) {
	return block.type === "image";
}
function resolveCacheRetention(cacheRetention) {
	if (cacheRetention) return cacheRetention;
	if (typeof process !== "undefined" && process.env.PI_CACHE_RETENTION === "long") return "long";
	return "short";
}
const streamOpenAICompletions = (model, context, options) => {
	const stream = new AssistantMessageEventStream();
	(async () => {
		const output = {
			role: "assistant",
			content: [],
			api: model.api,
			provider: model.provider,
			model: model.id,
			usage: {
				input: 0,
				output: 0,
				cacheRead: 0,
				cacheWrite: 0,
				totalTokens: 0,
				cost: {
					input: 0,
					output: 0,
					cacheRead: 0,
					cacheWrite: 0,
					total: 0
				}
			},
			stopReason: "stop",
			timestamp: Date.now()
		};
		try {
			const apiKey = options?.apiKey || getEnvApiKey(model.provider) || "";
			const compat = getCompat(model);
			const cacheRetention = resolveCacheRetention(options?.cacheRetention);
			const cacheSessionId = cacheRetention === "none" ? void 0 : options?.sessionId;
			const client = createClient(model, context, apiKey, options?.headers, cacheSessionId, compat);
			let params = buildParams(model, context, options, compat, cacheRetention);
			const nextParams = await options?.onPayload?.(params, model);
			if (nextParams !== void 0) params = nextParams;
			const requestOptions = {
				...options?.signal ? { signal: options.signal } : {},
				...options?.timeoutMs !== void 0 ? { timeout: options.timeoutMs } : {},
				...options?.maxRetries !== void 0 ? { maxRetries: options.maxRetries } : {}
			};
			const { data: openaiStream, response } = await client.chat.completions.create(params, requestOptions).withResponse();
			await options?.onResponse?.({
				status: response.status,
				headers: headersToRecord(response.headers)
			}, model);
			stream.push({
				type: "start",
				partial: output
			});
			let currentBlock = null;
			const blocks = output.content;
			const getContentIndex = (block) => block ? blocks.indexOf(block) : -1;
			const currentContentIndex = () => getContentIndex(currentBlock);
			const finishCurrentBlock = (block) => {
				if (block) {
					const contentIndex = getContentIndex(block);
					if (contentIndex === -1) return;
					if (block.type === "text") stream.push({
						type: "text_end",
						contentIndex,
						content: block.text,
						partial: output
					});
					else if (block.type === "thinking") stream.push({
						type: "thinking_end",
						contentIndex,
						content: block.thinking,
						partial: output
					});
					else if (block.type === "toolCall") {
						block.arguments = parseStreamingJson(block.partialArgs);
						delete block.partialArgs;
						delete block.streamIndex;
						stream.push({
							type: "toolcall_end",
							contentIndex,
							toolCall: block,
							partial: output
						});
					}
				}
			};
			for await (const chunk of openaiStream) {
				if (!chunk || typeof chunk !== "object") continue;
				output.responseId ||= chunk.id;
				if (typeof chunk.model === "string" && chunk.model.length > 0 && chunk.model !== model.id) output.responseModel ||= chunk.model;
				if (chunk.usage) output.usage = parseChunkUsage(chunk.usage, model);
				const choice = Array.isArray(chunk.choices) ? chunk.choices[0] : void 0;
				if (!choice) continue;
				if (!chunk.usage && choice.usage) output.usage = parseChunkUsage(choice.usage, model);
				if (choice.finish_reason) {
					const finishReasonResult = mapStopReason(choice.finish_reason);
					output.stopReason = finishReasonResult.stopReason;
					if (finishReasonResult.errorMessage) output.errorMessage = finishReasonResult.errorMessage;
				}
				if (choice.delta) {
					if (choice.delta.content !== null && choice.delta.content !== void 0 && choice.delta.content.length > 0) {
						if (!currentBlock || currentBlock.type !== "text") {
							finishCurrentBlock(currentBlock);
							currentBlock = {
								type: "text",
								text: ""
							};
							output.content.push(currentBlock);
							stream.push({
								type: "text_start",
								contentIndex: currentContentIndex(),
								partial: output
							});
						}
						if (currentBlock.type === "text") {
							currentBlock.text += choice.delta.content;
							stream.push({
								type: "text_delta",
								contentIndex: currentContentIndex(),
								delta: choice.delta.content,
								partial: output
							});
						}
					}
					const reasoningFields = [
						"reasoning_content",
						"reasoning",
						"reasoning_text"
					];
					let foundReasoningField = null;
					for (const field of reasoningFields) if (choice.delta[field] !== null && choice.delta[field] !== void 0 && choice.delta[field].length > 0) {
						if (!foundReasoningField) {
							foundReasoningField = field;
							break;
						}
					}
					if (foundReasoningField) {
						if (!currentBlock || currentBlock.type !== "thinking") {
							finishCurrentBlock(currentBlock);
							currentBlock = {
								type: "thinking",
								thinking: "",
								thinkingSignature: foundReasoningField
							};
							output.content.push(currentBlock);
							stream.push({
								type: "thinking_start",
								contentIndex: currentContentIndex(),
								partial: output
							});
						}
						if (currentBlock.type === "thinking") {
							const delta = choice.delta[foundReasoningField];
							currentBlock.thinking += delta;
							stream.push({
								type: "thinking_delta",
								contentIndex: currentContentIndex(),
								delta,
								partial: output
							});
						}
					}
					if (choice?.delta?.tool_calls) for (const toolCall of choice.delta.tool_calls) {
						const streamIndex = typeof toolCall.index === "number" ? toolCall.index : void 0;
						if (!(currentBlock?.type === "toolCall" && (streamIndex !== void 0 && currentBlock.streamIndex === streamIndex || streamIndex === void 0 && toolCall.id && currentBlock.id === toolCall.id))) {
							finishCurrentBlock(currentBlock);
							currentBlock = {
								type: "toolCall",
								id: toolCall.id || "",
								name: toolCall.function?.name || "",
								arguments: {},
								partialArgs: "",
								streamIndex
							};
							output.content.push(currentBlock);
							stream.push({
								type: "toolcall_start",
								contentIndex: getContentIndex(currentBlock),
								partial: output
							});
						}
						const currentToolCallBlock = currentBlock?.type === "toolCall" ? currentBlock : null;
						if (currentToolCallBlock) {
							if (!currentToolCallBlock.id && toolCall.id) currentToolCallBlock.id = toolCall.id;
							if (!currentToolCallBlock.name && toolCall.function?.name) currentToolCallBlock.name = toolCall.function.name;
							if (currentToolCallBlock.streamIndex === void 0 && streamIndex !== void 0) currentToolCallBlock.streamIndex = streamIndex;
							let delta = "";
							if (toolCall.function?.arguments) {
								delta = toolCall.function.arguments;
								currentToolCallBlock.partialArgs += toolCall.function.arguments;
								currentToolCallBlock.arguments = parseStreamingJson(currentToolCallBlock.partialArgs);
							}
							stream.push({
								type: "toolcall_delta",
								contentIndex: getContentIndex(currentToolCallBlock),
								delta,
								partial: output
							});
						}
					}
					const reasoningDetails = choice.delta.reasoning_details;
					if (reasoningDetails && Array.isArray(reasoningDetails)) {
						for (const detail of reasoningDetails) if (detail.type === "reasoning.encrypted" && detail.id && detail.data) {
							const matchingToolCall = output.content.find((b) => b.type === "toolCall" && b.id === detail.id);
							if (matchingToolCall) matchingToolCall.thoughtSignature = JSON.stringify(detail);
						}
					}
				}
			}
			finishCurrentBlock(currentBlock);
			if (options?.signal?.aborted) throw new Error("Request was aborted");
			if (output.stopReason === "aborted") throw new Error("Request was aborted");
			if (output.stopReason === "error") throw new Error(output.errorMessage || "Provider returned an error stop reason");
			stream.push({
				type: "done",
				reason: output.stopReason,
				message: output
			});
			stream.end();
		} catch (error) {
			for (const block of output.content) {
				delete block.index;
				delete block.partialArgs;
				delete block.streamIndex;
			}
			output.stopReason = options?.signal?.aborted ? "aborted" : "error";
			output.errorMessage = error instanceof Error ? error.message : JSON.stringify(error);
			const rawMetadata = error?.error?.metadata?.raw;
			if (rawMetadata) output.errorMessage += `\n${rawMetadata}`;
			stream.push({
				type: "error",
				reason: output.stopReason,
				error: output
			});
			stream.end();
		}
	})();
	return stream;
};
const streamSimpleOpenAICompletions = (model, context, options) => {
	const apiKey = options?.apiKey || getEnvApiKey(model.provider);
	if (!apiKey) throw new Error(`No API key for provider: ${model.provider}`);
	const base = buildBaseOptions(model, options, apiKey);
	const clampedReasoning = options?.reasoning ? clampThinkingLevel(model, options.reasoning) : void 0;
	const reasoningEffort = clampedReasoning === "off" ? void 0 : clampedReasoning;
	const toolChoice = options?.toolChoice;
	return streamOpenAICompletions(model, context, {
		...base,
		reasoningEffort,
		toolChoice
	});
};
function createClient(model, context, apiKey, optionsHeaders, sessionId, compat = getCompat(model)) {
	if (!apiKey) {
		if (!process.env.OPENAI_API_KEY) throw new Error("OpenAI API key is required. Set OPENAI_API_KEY environment variable or pass it as an argument.");
		apiKey = process.env.OPENAI_API_KEY;
	}
	const headers = { ...model.headers };
	if (model.provider === "github-copilot") {
		const hasImages = hasCopilotVisionInput(context.messages);
		const copilotHeaders = buildCopilotDynamicHeaders({
			messages: context.messages,
			hasImages
		});
		Object.assign(headers, copilotHeaders);
	}
	if (sessionId && compat.sendSessionAffinityHeaders) {
		headers.session_id = sessionId;
		headers["x-client-request-id"] = sessionId;
		headers["x-session-affinity"] = sessionId;
	}
	if (optionsHeaders) Object.assign(headers, optionsHeaders);
	const defaultHeaders = model.provider === "cloudflare-ai-gateway" ? {
		...headers,
		Authorization: headers.Authorization ?? null,
		"cf-aig-authorization": `Bearer ${apiKey}`
	} : headers;
	return new OpenAI({
		apiKey,
		baseURL: isCloudflareProvider(model.provider) ? resolveCloudflareBaseUrl(model) : model.baseUrl,
		dangerouslyAllowBrowser: true,
		defaultHeaders
	});
}
function buildParams(model, context, options, compat = getCompat(model), cacheRetention = resolveCacheRetention(options?.cacheRetention)) {
	const messages = convertMessages(model, context, compat);
	const cacheControl = getCompatCacheControl(compat, cacheRetention);
	const params = {
		model: model.id,
		messages,
		stream: true,
		prompt_cache_key: model.baseUrl.includes("api.openai.com") && cacheRetention !== "none" || cacheRetention === "long" && compat.supportsLongCacheRetention ? options?.sessionId : void 0,
		prompt_cache_retention: cacheRetention === "long" && compat.supportsLongCacheRetention ? "24h" : void 0
	};
	if (compat.supportsUsageInStreaming !== false) params.stream_options = { include_usage: true };
	if (compat.supportsStore) params.store = false;
	if (options?.maxTokens) if (compat.maxTokensField === "max_tokens") params.max_tokens = options.maxTokens;
	else params.max_completion_tokens = options.maxTokens;
	if (options?.temperature !== void 0) params.temperature = options.temperature;
	if (context.tools && context.tools.length > 0) {
		params.tools = convertTools(context.tools, compat);
		if (compat.zaiToolStream) params.tool_stream = true;
	} else if (hasToolHistory(context.messages)) params.tools = [];
	if (cacheControl) applyAnthropicCacheControl(messages, params.tools, cacheControl);
	if (options?.toolChoice) params.tool_choice = options.toolChoice;
	if (compat.thinkingFormat === "zai" && model.reasoning) params.enable_thinking = !!options?.reasoningEffort;
	else if (compat.thinkingFormat === "qwen" && model.reasoning) params.enable_thinking = !!options?.reasoningEffort;
	else if (compat.thinkingFormat === "qwen-chat-template" && model.reasoning) params.chat_template_kwargs = {
		enable_thinking: !!options?.reasoningEffort,
		preserve_thinking: true
	};
	else if (compat.thinkingFormat === "deepseek" && model.reasoning) {
		params.thinking = { type: options?.reasoningEffort ? "enabled" : "disabled" };
		if (options?.reasoningEffort) params.reasoning_effort = model.thinkingLevelMap?.[options.reasoningEffort] ?? options.reasoningEffort;
	} else if (compat.thinkingFormat === "openrouter" && model.reasoning) {
		const openRouterParams = params;
		if (options?.reasoningEffort) openRouterParams.reasoning = { effort: model.thinkingLevelMap?.[options.reasoningEffort] ?? options.reasoningEffort };
		else if (model.thinkingLevelMap?.off !== null) openRouterParams.reasoning = { effort: model.thinkingLevelMap?.off ?? "none" };
	} else if (options?.reasoningEffort && model.reasoning && compat.supportsReasoningEffort) params.reasoning_effort = model.thinkingLevelMap?.[options.reasoningEffort] ?? options.reasoningEffort;
	else if (!options?.reasoningEffort && model.reasoning && compat.supportsReasoningEffort) {
		const offValue = model.thinkingLevelMap?.off;
		if (typeof offValue === "string") params.reasoning_effort = offValue;
	}
	if (model.baseUrl.includes("openrouter.ai") && model.compat?.openRouterRouting) params.provider = model.compat.openRouterRouting;
	if (model.baseUrl.includes("ai-gateway.vercel.sh") && model.compat?.vercelGatewayRouting) {
		const routing = model.compat.vercelGatewayRouting;
		if (routing.only || routing.order) {
			const gatewayOptions = {};
			if (routing.only) gatewayOptions.only = routing.only;
			if (routing.order) gatewayOptions.order = routing.order;
			params.providerOptions = { gateway: gatewayOptions };
		}
	}
	return params;
}
function getCompatCacheControl(compat, cacheRetention) {
	if (compat.cacheControlFormat !== "anthropic" || cacheRetention === "none") return;
	const ttl = cacheRetention === "long" && compat.supportsLongCacheRetention ? "1h" : void 0;
	return {
		type: "ephemeral",
		...ttl ? { ttl } : {}
	};
}
function applyAnthropicCacheControl(messages, tools, cacheControl) {
	addCacheControlToSystemPrompt(messages, cacheControl);
	addCacheControlToLastTool(tools, cacheControl);
	addCacheControlToLastConversationMessage(messages, cacheControl);
}
function addCacheControlToSystemPrompt(messages, cacheControl) {
	for (const message of messages) if (message.role === "system" || message.role === "developer") {
		addCacheControlToInstructionMessage(message, cacheControl);
		return;
	}
}
function addCacheControlToLastConversationMessage(messages, cacheControl) {
	for (let i = messages.length - 1; i >= 0; i--) {
		const message = messages[i];
		if (message.role === "user" || message.role === "assistant") {
			if (addCacheControlToMessage(message, cacheControl)) return;
		}
	}
}
function addCacheControlToLastTool(tools, cacheControl) {
	if (!tools || tools.length === 0) return;
	const lastTool = tools[tools.length - 1];
	lastTool.cache_control = cacheControl;
}
function addCacheControlToInstructionMessage(message, cacheControl) {
	return addCacheControlToTextContent(message, cacheControl);
}
function addCacheControlToMessage(message, cacheControl) {
	if (message.role === "user" || message.role === "assistant") return addCacheControlToTextContent(message, cacheControl);
	return false;
}
function addCacheControlToTextContent(message, cacheControl) {
	const content = message.content;
	if (typeof content === "string") {
		if (content.length === 0) return false;
		message.content = [{
			type: "text",
			text: content,
			cache_control: cacheControl
		}];
		return true;
	}
	if (!Array.isArray(content)) return false;
	for (let i = content.length - 1; i >= 0; i--) {
		const part = content[i];
		if (part?.type === "text") {
			const textPart = part;
			textPart.cache_control = cacheControl;
			return true;
		}
	}
	return false;
}
function convertMessages(model, context, compat) {
	const params = [];
	const normalizeToolCallId = (id) => {
		if (id.includes("|")) {
			const [callId] = id.split("|");
			return callId.replace(/[^a-zA-Z0-9_-]/g, "_").slice(0, 40);
		}
		if (model.provider === "openai") return id.length > 40 ? id.slice(0, 40) : id;
		return id;
	};
	const transformedMessages = transformMessages(context.messages, model, (id) => normalizeToolCallId(id));
	if (context.systemPrompt) {
		const role = model.reasoning && compat.supportsDeveloperRole ? "developer" : "system";
		params.push({
			role,
			content: sanitizeSurrogates(context.systemPrompt)
		});
	}
	let lastRole = null;
	for (let i = 0; i < transformedMessages.length; i++) {
		const msg = transformedMessages[i];
		if (compat.requiresAssistantAfterToolResult && lastRole === "toolResult" && msg.role === "user") params.push({
			role: "assistant",
			content: "I have processed the tool results."
		});
		if (msg.role === "user") if (typeof msg.content === "string") params.push({
			role: "user",
			content: sanitizeSurrogates(msg.content)
		});
		else {
			const content = msg.content.map((item) => {
				if (item.type === "text") return {
					type: "text",
					text: sanitizeSurrogates(item.text)
				};
				else return {
					type: "image_url",
					image_url: { url: `data:${item.mimeType};base64,${item.data}` }
				};
			});
			if (content.length === 0) continue;
			params.push({
				role: "user",
				content
			});
		}
		else if (msg.role === "assistant") {
			const assistantMsg = {
				role: "assistant",
				content: compat.requiresAssistantAfterToolResult ? "" : null
			};
			const assistantTextParts = msg.content.filter(isTextContentBlock).filter((block) => block.text.trim().length > 0).map((block) => ({
				type: "text",
				text: sanitizeSurrogates(block.text)
			}));
			const assistantText = assistantTextParts.map((part) => part.text).join("");
			const nonEmptyThinkingBlocks = msg.content.filter(isThinkingContentBlock).filter((block) => block.thinking.trim().length > 0);
			if (nonEmptyThinkingBlocks.length > 0) if (compat.requiresThinkingAsText) assistantMsg.content = [{
				type: "text",
				text: nonEmptyThinkingBlocks.map((block) => sanitizeSurrogates(block.thinking)).join("\n\n")
			}, ...assistantTextParts];
			else {
				if (assistantText.length > 0) assistantMsg.content = assistantText;
				const signature = nonEmptyThinkingBlocks[0].thinkingSignature;
				if (signature && signature.length > 0) assistantMsg[signature] = nonEmptyThinkingBlocks.map((block) => block.thinking).join("\n");
			}
			else if (assistantText.length > 0) assistantMsg.content = assistantText;
			const toolCalls = msg.content.filter(isToolCallBlock);
			if (toolCalls.length > 0) {
				assistantMsg.tool_calls = toolCalls.map((tc) => ({
					id: tc.id,
					type: "function",
					function: {
						name: tc.name,
						arguments: JSON.stringify(tc.arguments)
					}
				}));
				const reasoningDetails = toolCalls.filter((tc) => tc.thoughtSignature).map((tc) => {
					try {
						return JSON.parse(tc.thoughtSignature);
					} catch {
						return null;
					}
				}).filter(Boolean);
				if (reasoningDetails.length > 0) assistantMsg.reasoning_details = reasoningDetails;
			}
			if (compat.requiresReasoningContentOnAssistantMessages && model.reasoning && assistantMsg.reasoning_content === void 0) assistantMsg.reasoning_content = "";
			const content = assistantMsg.content;
			if (!(content !== null && content !== void 0 && (typeof content === "string" ? content.length > 0 : content.length > 0)) && !assistantMsg.tool_calls) continue;
			params.push(assistantMsg);
		} else if (msg.role === "toolResult") {
			const imageBlocks = [];
			let j = i;
			for (; j < transformedMessages.length && transformedMessages[j].role === "toolResult"; j++) {
				const toolMsg = transformedMessages[j];
				const textResult = toolMsg.content.filter(isTextContentBlock).map((block) => block.text).join("\n");
				const hasImages = toolMsg.content.some((c) => c.type === "image");
				const toolResultMsg = {
					role: "tool",
					content: sanitizeSurrogates(textResult.length > 0 ? textResult : "(see attached image)"),
					tool_call_id: toolMsg.toolCallId
				};
				if (compat.requiresToolResultName && toolMsg.toolName) toolResultMsg.name = toolMsg.toolName;
				params.push(toolResultMsg);
				if (hasImages && model.input.includes("image")) {
					for (const block of toolMsg.content) if (isImageContentBlock(block)) imageBlocks.push({
						type: "image_url",
						image_url: { url: `data:${block.mimeType};base64,${block.data}` }
					});
				}
			}
			i = j - 1;
			if (imageBlocks.length > 0) {
				if (compat.requiresAssistantAfterToolResult) params.push({
					role: "assistant",
					content: "I have processed the tool results."
				});
				params.push({
					role: "user",
					content: [{
						type: "text",
						text: "Attached image(s) from tool result:"
					}, ...imageBlocks]
				});
				lastRole = "user";
			} else lastRole = "toolResult";
			continue;
		}
		lastRole = msg.role;
	}
	return params;
}
function convertTools(tools, compat) {
	return tools.map((tool) => ({
		type: "function",
		function: {
			name: tool.name,
			description: tool.description,
			parameters: tool.parameters,
			...compat.supportsStrictMode !== false && { strict: false }
		}
	}));
}
function parseChunkUsage(rawUsage, model) {
	const promptTokens = rawUsage.prompt_tokens || 0;
	const reportedCachedTokens = rawUsage.prompt_tokens_details?.cached_tokens ?? rawUsage.prompt_cache_hit_tokens ?? 0;
	const cacheWriteTokens = rawUsage.prompt_tokens_details?.cache_write_tokens || 0;
	const cacheReadTokens = cacheWriteTokens > 0 ? Math.max(0, reportedCachedTokens - cacheWriteTokens) : reportedCachedTokens;
	const input = Math.max(0, promptTokens - cacheReadTokens - cacheWriteTokens);
	const outputTokens = rawUsage.completion_tokens || 0;
	const usage = {
		input,
		output: outputTokens,
		cacheRead: cacheReadTokens,
		cacheWrite: cacheWriteTokens,
		totalTokens: input + outputTokens + cacheReadTokens + cacheWriteTokens,
		cost: {
			input: 0,
			output: 0,
			cacheRead: 0,
			cacheWrite: 0,
			total: 0
		}
	};
	calculateCost(model, usage);
	if (typeof rawUsage.cost === "number" && Number.isFinite(rawUsage.cost) && rawUsage.cost > 0) usage.cost.total = rawUsage.cost;
	return usage;
}
function mapStopReason(reason) {
	if (reason === null) return { stopReason: "stop" };
	switch (reason) {
		case "stop":
		case "end": return { stopReason: "stop" };
		case "length": return { stopReason: "length" };
		case "function_call":
		case "tool_calls": return { stopReason: "toolUse" };
		case "content_filter": return {
			stopReason: "error",
			errorMessage: "Provider finish_reason: content_filter"
		};
		case "network_error": return {
			stopReason: "error",
			errorMessage: "Provider finish_reason: network_error"
		};
		default: return {
			stopReason: "error",
			errorMessage: `Provider finish_reason: ${reason}`
		};
	}
}
/**
* Detect compatibility settings from provider and baseUrl for known providers.
* Provider takes precedence over URL-based detection since it's explicitly configured.
* Returns a fully resolved OpenAICompletionsCompat object with all fields set.
*/
function detectCompat(model) {
	const provider = model.provider;
	const baseUrl = model.baseUrl;
	const isZai = provider === "zai" || baseUrl.includes("api.z.ai");
	const isMoonshot = provider === "moonshotai" || provider === "moonshotai-cn" || baseUrl.includes("api.moonshot.");
	const isCloudflareWorkersAI = provider === "cloudflare-workers-ai" || baseUrl.includes("api.cloudflare.com");
	const isCloudflareAiGateway = provider === "cloudflare-ai-gateway" || baseUrl.includes("gateway.ai.cloudflare.com");
	const isNonStandard = provider === "cerebras" || baseUrl.includes("cerebras.ai") || provider === "xai" || baseUrl.includes("api.x.ai") || baseUrl.includes("chutes.ai") || baseUrl.includes("deepseek.com") || isZai || isMoonshot || provider === "opencode" || baseUrl.includes("opencode.ai") || isCloudflareWorkersAI || isCloudflareAiGateway;
	const useMaxTokens = baseUrl.includes("chutes.ai") || isMoonshot || isCloudflareAiGateway;
	const isGrok = provider === "xai" || baseUrl.includes("api.x.ai");
	const isDeepSeek = provider === "deepseek" || baseUrl.includes("deepseek.com");
	const cacheControlFormat = provider === "openrouter" && model.id.startsWith("anthropic/") ? "anthropic" : void 0;
	return {
		supportsStore: !isNonStandard,
		supportsDeveloperRole: !isNonStandard,
		supportsReasoningEffort: !isGrok && !isZai && !isMoonshot && !isCloudflareAiGateway,
		supportsUsageInStreaming: true,
		maxTokensField: useMaxTokens ? "max_tokens" : "max_completion_tokens",
		requiresToolResultName: false,
		requiresAssistantAfterToolResult: false,
		requiresThinkingAsText: false,
		requiresReasoningContentOnAssistantMessages: isDeepSeek,
		thinkingFormat: isDeepSeek ? "deepseek" : isZai ? "zai" : provider === "openrouter" || baseUrl.includes("openrouter.ai") ? "openrouter" : "openai",
		openRouterRouting: {},
		vercelGatewayRouting: {},
		zaiToolStream: false,
		supportsStrictMode: !isMoonshot && !isCloudflareAiGateway,
		cacheControlFormat,
		sendSessionAffinityHeaders: false,
		supportsLongCacheRetention: !(isCloudflareWorkersAI || isCloudflareAiGateway)
	};
}
/**
* Get resolved compatibility settings for a model.
* Uses explicit model.compat if provided, otherwise auto-detects from provider/URL.
*/
function getCompat(model) {
	const detected = detectCompat(model);
	if (!model.compat) return detected;
	return {
		supportsStore: model.compat.supportsStore ?? detected.supportsStore,
		supportsDeveloperRole: model.compat.supportsDeveloperRole ?? detected.supportsDeveloperRole,
		supportsReasoningEffort: model.compat.supportsReasoningEffort ?? detected.supportsReasoningEffort,
		supportsUsageInStreaming: model.compat.supportsUsageInStreaming ?? detected.supportsUsageInStreaming,
		maxTokensField: model.compat.maxTokensField ?? detected.maxTokensField,
		requiresToolResultName: model.compat.requiresToolResultName ?? detected.requiresToolResultName,
		requiresAssistantAfterToolResult: model.compat.requiresAssistantAfterToolResult ?? detected.requiresAssistantAfterToolResult,
		requiresThinkingAsText: model.compat.requiresThinkingAsText ?? detected.requiresThinkingAsText,
		requiresReasoningContentOnAssistantMessages: model.compat.requiresReasoningContentOnAssistantMessages ?? detected.requiresReasoningContentOnAssistantMessages,
		thinkingFormat: model.compat.thinkingFormat ?? detected.thinkingFormat,
		openRouterRouting: model.compat.openRouterRouting ?? {},
		vercelGatewayRouting: model.compat.vercelGatewayRouting ?? detected.vercelGatewayRouting,
		zaiToolStream: model.compat.zaiToolStream ?? detected.zaiToolStream,
		supportsStrictMode: model.compat.supportsStrictMode ?? detected.supportsStrictMode,
		cacheControlFormat: model.compat.cacheControlFormat ?? detected.cacheControlFormat,
		sendSessionAffinityHeaders: model.compat.sendSessionAffinityHeaders ?? detected.sendSessionAffinityHeaders,
		supportsLongCacheRetention: model.compat.supportsLongCacheRetention ?? detected.supportsLongCacheRetention
	};
}
//#endregion
export { streamOpenAICompletions as n, streamSimpleOpenAICompletions as r, convertMessages as t };
