import { mkdtempSync } from "node:fs";
import { tmpdir } from "node:os";
import { join } from "node:path";
import { afterEach, describe, expect, it, vi } from "vitest";
import {
	getOpenAICodexWebSocketDebugStats,
	resetOpenAICodexWebSocketDebugStats,
	streamOpenAICodexResponses,
	streamSimpleOpenAICodexResponses,
} from "../src/providers/openai-codex-responses.ts";
import type { Context, Model } from "../src/types.ts";

const originalAgentDir = process.env.PI_CODING_AGENT_DIR;

afterEach(() => {
	vi.unstubAllGlobals();
	if (originalAgentDir === undefined) {
		delete process.env.PI_CODING_AGENT_DIR;
	} else {
		process.env.PI_CODING_AGENT_DIR = originalAgentDir;
	}
	resetOpenAICodexWebSocketDebugStats();
	vi.useRealTimers();
	vi.restoreAllMocks();
});

function mockToken(): string {
	const payload = Buffer.from(
		JSON.stringify({ "https://api.openai.com/auth": { chatgpt_account_id: "acc_test" } }),
		"utf8",
	).toString("base64");
	return `aaa.${payload}.bbb`;
}

function buildSSEPayload({
	status,
	includeDone = false,
}: {
	status: "completed" | "incomplete";
	includeDone?: boolean;
}): string {
	const terminalType = status === "incomplete" ? "response.incomplete" : "response.completed";
	const events = [
		`data: ${JSON.stringify({
			type: "response.output_item.added",
			item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
		})}`,
		`data: ${JSON.stringify({ type: "response.content_part.added", part: { type: "output_text", text: "" } })}`,
		`data: ${JSON.stringify({ type: "response.output_text.delta", delta: "Hello" })}`,
		`data: ${JSON.stringify({
			type: "response.output_item.done",
			item: {
				type: "message",
				id: "msg_1",
				role: "assistant",
				status: "completed",
				content: [{ type: "output_text", text: "Hello" }],
			},
		})}`,
		`data: ${JSON.stringify({
			type: terminalType,
			response: {
				status,
				incomplete_details: status === "incomplete" ? { reason: "max_output_tokens" } : null,
				usage: {
					input_tokens: 5,
					output_tokens: 3,
					total_tokens: 8,
					input_tokens_details: { cached_tokens: 0 },
				},
			},
		})}`,
	];

	if (includeDone) {
		events.push("data: [DONE]");
	}

	return `${events.join("\n\n")}\n\n`;
}

describe("openai-codex streaming", () => {
	it("streams SSE responses into AssistantMessageEventStream", async () => {
		const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
		process.env.PI_CODING_AGENT_DIR = tempDir;

		const payload = Buffer.from(
			JSON.stringify({ "https://api.openai.com/auth": { chatgpt_account_id: "acc_test" } }),
			"utf8",
		).toString("base64");
		const token = `aaa.${payload}.bbb`;

		const sse = `${[
			`data: ${JSON.stringify({
				type: "response.output_item.added",
				item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
			})}`,
			`data: ${JSON.stringify({ type: "response.content_part.added", part: { type: "output_text", text: "" } })}`,
			`data: ${JSON.stringify({ type: "response.output_text.delta", delta: "Hello" })}`,
			`data: ${JSON.stringify({
				type: "response.output_item.done",
				item: {
					type: "message",
					id: "msg_1",
					role: "assistant",
					status: "completed",
					content: [{ type: "output_text", text: "Hello" }],
				},
			})}`,
			`data: ${JSON.stringify({
				type: "response.completed",
				response: {
					status: "completed",
					usage: {
						input_tokens: 5,
						output_tokens: 3,
						total_tokens: 8,
						input_tokens_details: { cached_tokens: 0 },
					},
				},
			})}`,
		].join("\n\n")}\n\n`;

		const encoder = new TextEncoder();
		const stream = new ReadableStream<Uint8Array>({
			start(controller) {
				controller.enqueue(encoder.encode(sse));
				controller.close();
			},
		});

		const fetchMock = vi.fn(async (input: string | URL, init?: RequestInit) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
				return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
			}
			if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
				return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
			}
			if (url === "https://chatgpt.com/backend-api/codex/responses") {
				const headers = init?.headers instanceof Headers ? init.headers : undefined;
				expect(headers?.get("Authorization")).toBe(`Bearer ${token}`);
				expect(headers?.get("chatgpt-account-id")).toBe("acc_test");
				expect(headers?.get("OpenAI-Beta")).toBe("responses=experimental");
				expect(headers?.get("originator")).toBe("pi");
				expect(headers?.get("accept")).toBe("text/event-stream");
				expect(headers?.has("x-api-key")).toBe(false);
				return new Response(stream, {
					status: 200,
					headers: { "content-type": "text/event-stream" },
				});
			}
			return new Response("not found", { status: 404 });
		});

		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};

		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		const streamResult = streamOpenAICodexResponses(model, context, { apiKey: token, transport: "sse" });
		let sawTextDelta = false;
		let sawDone = false;

		for await (const event of streamResult) {
			if (event.type === "text_delta") {
				sawTextDelta = true;
			}
			if (event.type === "done") {
				sawDone = true;
				expect(event.message.content.find((c) => c.type === "text")?.text).toBe("Hello");
			}
		}

		expect(sawTextDelta).toBe(true);
		expect(sawDone).toBe(true);
	});

	it("completes after response.completed even when the SSE body stays open", async () => {
		const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
		process.env.PI_CODING_AGENT_DIR = tempDir;
		const token = mockToken();
		const encoder = new TextEncoder();
		const sse = buildSSEPayload({ status: "completed", includeDone: true });

		const stream = new ReadableStream<Uint8Array>({
			start(controller) {
				controller.enqueue(encoder.encode(sse));
			},
		});

		const fetchMock = vi.fn(async (input: string | URL) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
				return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
			}
			if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
				return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
			}
			if (url === "https://chatgpt.com/backend-api/codex/responses") {
				return new Response(stream, {
					status: 200,
					headers: { "content-type": "text/event-stream" },
				});
			}
			return new Response("not found", { status: 404 });
		});
		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};

		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		const result = await Promise.race([
			streamOpenAICodexResponses(model, context, { apiKey: token, transport: "sse" }).result(),
			new Promise<never>((_, reject) => {
				setTimeout(() => reject(new Error("Timed out waiting for completed SSE stream")), 1000);
			}),
		]);

		expect(result.content.find((c) => c.type === "text")?.text).toBe("Hello");
		expect(result.stopReason).toBe("stop");
	});

	it("maps response.incomplete to stopReason length even when the SSE body stays open", async () => {
		const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
		process.env.PI_CODING_AGENT_DIR = tempDir;
		const token = mockToken();
		const encoder = new TextEncoder();
		const sse = buildSSEPayload({ status: "incomplete" });

		const stream = new ReadableStream<Uint8Array>({
			start(controller) {
				controller.enqueue(encoder.encode(sse));
			},
		});

		const fetchMock = vi.fn(async (input: string | URL) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
				return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
			}
			if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
				return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
			}
			if (url === "https://chatgpt.com/backend-api/codex/responses") {
				return new Response(stream, {
					status: 200,
					headers: { "content-type": "text/event-stream" },
				});
			}
			return new Response("not found", { status: 404 });
		});
		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};

		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		const result = await Promise.race([
			streamOpenAICodexResponses(model, context, { apiKey: token, transport: "sse" }).result(),
			new Promise<never>((_, reject) => {
				setTimeout(() => reject(new Error("Timed out waiting for incomplete SSE stream")), 1000);
			}),
		]);

		expect(result.content.find((c) => c.type === "text")?.text).toBe("Hello");
		expect(result.stopReason).toBe("length");
	});

	it("sets session_id/x-client-request-id headers and prompt_cache_key when sessionId is provided", async () => {
		const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
		process.env.PI_CODING_AGENT_DIR = tempDir;

		const payload = Buffer.from(
			JSON.stringify({ "https://api.openai.com/auth": { chatgpt_account_id: "acc_test" } }),
			"utf8",
		).toString("base64");
		const token = `aaa.${payload}.bbb`;

		const sse = `${[
			`data: ${JSON.stringify({
				type: "response.output_item.added",
				item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
			})}`,
			`data: ${JSON.stringify({ type: "response.content_part.added", part: { type: "output_text", text: "" } })}`,
			`data: ${JSON.stringify({ type: "response.output_text.delta", delta: "Hello" })}`,
			`data: ${JSON.stringify({
				type: "response.output_item.done",
				item: {
					type: "message",
					id: "msg_1",
					role: "assistant",
					status: "completed",
					content: [{ type: "output_text", text: "Hello" }],
				},
			})}`,
			`data: ${JSON.stringify({
				type: "response.completed",
				response: {
					status: "completed",
					usage: {
						input_tokens: 5,
						output_tokens: 3,
						total_tokens: 8,
						input_tokens_details: { cached_tokens: 0 },
					},
				},
			})}`,
		].join("\n\n")}\n\n`;

		const encoder = new TextEncoder();
		const stream = new ReadableStream<Uint8Array>({
			start(controller) {
				controller.enqueue(encoder.encode(sse));
				controller.close();
			},
		});

		const sessionId = "test-session-123";
		const fetchMock = vi.fn(async (input: string | URL, init?: RequestInit) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
				return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
			}
			if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
				return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
			}
			if (url === "https://chatgpt.com/backend-api/codex/responses") {
				const headers = init?.headers instanceof Headers ? init.headers : undefined;
				// Verify sessionId is set in headers
				expect(headers?.get("session_id")).toBe(sessionId);
				expect(headers?.get("x-client-request-id")).toBe(sessionId);

				// Verify sessionId is set in request body as prompt_cache_key
				const body = typeof init?.body === "string" ? (JSON.parse(init.body) as Record<string, unknown>) : null;
				expect(body?.prompt_cache_key).toBe(sessionId);

				return new Response(stream, {
					status: 200,
					headers: { "content-type": "text/event-stream" },
				});
			}
			return new Response("not found", { status: 404 });
		});

		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};

		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		const streamResult = streamOpenAICodexResponses(model, context, { apiKey: token, sessionId, transport: "sse" });
		await streamResult.result();
	});

	it("clamps prompt_cache_key to OpenAI's 64-character limit", async () => {
		const token = mockToken();
		const sessionId = "x".repeat(67);
		let capturedPayload: { prompt_cache_key?: string } | undefined;
		const encoder = new TextEncoder();
		vi.stubGlobal(
			"fetch",
			vi.fn(
				async () =>
					new Response(
						new ReadableStream<Uint8Array>({
							start(controller) {
								controller.enqueue(encoder.encode(buildSSEPayload({ status: "completed" })));
								controller.close();
							},
						}),
						{ status: 200, headers: { "content-type": "text/event-stream" } },
					),
			),
		);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};
		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		await streamOpenAICodexResponses(model, context, {
			apiKey: token,
			transport: "sse",
			sessionId,
			onPayload: (payload) => {
				capturedPayload = payload as { prompt_cache_key?: string };
			},
		}).result();

		expect(capturedPayload?.prompt_cache_key).toBe("x".repeat(64));
	});

	it("preserves gpt-5.5 xhigh reasoning effort from simple options", async () => {
		const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
		process.env.PI_CODING_AGENT_DIR = tempDir;
		const token = mockToken();
		const sse = buildSSEPayload({ status: "completed" });
		const encoder = new TextEncoder();
		const stream = new ReadableStream<Uint8Array>({
			start(controller) {
				controller.enqueue(encoder.encode(sse));
				controller.close();
			},
		});
		let requestedReasoning: unknown;

		const fetchMock = vi.fn(async (input: string | URL, init?: RequestInit) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
				return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
			}
			if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
				return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
			}
			if (url === "https://chatgpt.com/backend-api/codex/responses") {
				const body = typeof init?.body === "string" ? (JSON.parse(init.body) as Record<string, unknown>) : null;
				requestedReasoning = body?.reasoning;
				return new Response(stream, {
					status: 200,
					headers: { "content-type": "text/event-stream" },
				});
			}
			return new Response("not found", { status: 404 });
		});
		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.5",
			name: "GPT-5.5",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			thinkingLevelMap: { xhigh: "xhigh" },
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};
		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		await streamSimpleOpenAICodexResponses(model, context, {
			apiKey: token,
			reasoning: "xhigh",
			transport: "sse",
		}).result();

		expect(requestedReasoning).toEqual({ effort: "xhigh", summary: "auto" });
	});

	it.each(["gpt-5.3-codex", "gpt-5.4", "gpt-5.5"])("clamps %s minimal reasoning effort to low", async (modelId) => {
		const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
		process.env.PI_CODING_AGENT_DIR = tempDir;

		const payload = Buffer.from(
			JSON.stringify({ "https://api.openai.com/auth": { chatgpt_account_id: "acc_test" } }),
			"utf8",
		).toString("base64");
		const token = `aaa.${payload}.bbb`;

		const sse = `${[
			`data: ${JSON.stringify({
				type: "response.output_item.added",
				item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
			})}`,
			`data: ${JSON.stringify({ type: "response.content_part.added", part: { type: "output_text", text: "" } })}`,
			`data: ${JSON.stringify({ type: "response.output_text.delta", delta: "Hello" })}`,
			`data: ${JSON.stringify({
				type: "response.output_item.done",
				item: {
					type: "message",
					id: "msg_1",
					role: "assistant",
					status: "completed",
					content: [{ type: "output_text", text: "Hello" }],
				},
			})}`,
			`data: ${JSON.stringify({
				type: "response.completed",
				response: {
					status: "completed",
					usage: {
						input_tokens: 5,
						output_tokens: 3,
						total_tokens: 8,
						input_tokens_details: { cached_tokens: 0 },
					},
				},
			})}`,
		].join("\n\n")}\n\n`;

		let requestedReasoning: unknown;
		const encoder = new TextEncoder();
		const stream = new ReadableStream<Uint8Array>({
			start(controller) {
				controller.enqueue(encoder.encode(sse));
				controller.close();
			},
		});

		const fetchMock = vi.fn(async (input: string | URL, init?: RequestInit) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
				return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
			}
			if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
				return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
			}
			if (url === "https://chatgpt.com/backend-api/codex/responses") {
				const body = typeof init?.body === "string" ? (JSON.parse(init.body) as Record<string, unknown>) : null;
				requestedReasoning = body?.reasoning;

				return new Response(stream, {
					status: 200,
					headers: { "content-type": "text/event-stream" },
				});
			}
			return new Response("not found", { status: 404 });
		});

		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: modelId,
			name: modelId,
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			thinkingLevelMap: { minimal: "low" },
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};

		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		const streamResult = streamOpenAICodexResponses(model, context, {
			apiKey: token,
			reasoningEffort: "minimal",
			transport: "sse",
		});
		await streamResult.result();
		expect(requestedReasoning).toEqual({ effort: "low", summary: "auto" });
	});

	it.each([
		["gpt-5.1-codex", "flex", 0.5],
		["gpt-5.1-codex", "priority", 2],
		["gpt-5.5", "flex", 0.5],
		["gpt-5.5", "priority", 2.5],
	] as const)(
		"uses the client-sent %s service tier for %s when Codex echoes default",
		async (modelId, serviceTier, multiplier) => {
			const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
			process.env.PI_CODING_AGENT_DIR = tempDir;
			const token = mockToken();
			const sse = `${[
				`data: ${JSON.stringify({
					type: "response.output_item.added",
					item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
				})}`,
				`data: ${JSON.stringify({ type: "response.content_part.added", part: { type: "output_text", text: "" } })}`,
				`data: ${JSON.stringify({ type: "response.output_text.delta", delta: "Hello" })}`,
				`data: ${JSON.stringify({
					type: "response.output_item.done",
					item: {
						type: "message",
						id: "msg_1",
						role: "assistant",
						status: "completed",
						content: [{ type: "output_text", text: "Hello" }],
					},
				})}`,
				`data: ${JSON.stringify({
					type: "response.completed",
					response: {
						status: "completed",
						service_tier: "default",
						usage: {
							input_tokens: 1000000,
							output_tokens: 1000000,
							total_tokens: 2000000,
							input_tokens_details: { cached_tokens: 0 },
						},
					},
				})}`,
			].join("\n\n")}\n\n`;

			const encoder = new TextEncoder();
			const stream = new ReadableStream<Uint8Array>({
				start(controller) {
					controller.enqueue(encoder.encode(sse));
					controller.close();
				},
			});

			const fetchMock = vi.fn(async (input: string | URL) => {
				const url = typeof input === "string" ? input : input.toString();
				if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
					return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
				}
				if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
					return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
				}
				if (url === "https://chatgpt.com/backend-api/codex/responses") {
					return new Response(stream, {
						status: 200,
						headers: { "content-type": "text/event-stream" },
					});
				}
				return new Response("not found", { status: 404 });
			});
			vi.stubGlobal("fetch", fetchMock);

			const model: Model<"openai-codex-responses"> = {
				id: modelId,
				name: modelId === "gpt-5.5" ? "GPT-5.5" : "GPT-5.1 Codex",
				api: "openai-codex-responses",
				provider: "openai-codex",
				baseUrl: "https://chatgpt.com/backend-api",
				reasoning: true,
				input: ["text"],
				cost: { input: 1, output: 2, cacheRead: 0, cacheWrite: 0 },
				contextWindow: 400000,
				maxTokens: 128000,
			};

			const context: Context = {
				systemPrompt: "You are a helpful assistant.",
				messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
			};

			const result = await streamOpenAICodexResponses(model, context, {
				apiKey: token,
				serviceTier,
				transport: "sse",
			}).result();

			expect(result.usage.cost.input).toBe(1 * multiplier);
			expect(result.usage.cost.output).toBe(2 * multiplier);
			expect(result.usage.cost.total).toBe(3 * multiplier);
		},
	);

	it("does not set session_id/x-client-request-id headers when sessionId is not provided", async () => {
		const tempDir = mkdtempSync(join(tmpdir(), "pi-codex-stream-"));
		process.env.PI_CODING_AGENT_DIR = tempDir;

		const payload = Buffer.from(
			JSON.stringify({ "https://api.openai.com/auth": { chatgpt_account_id: "acc_test" } }),
			"utf8",
		).toString("base64");
		const token = `aaa.${payload}.bbb`;

		const sse = `${[
			`data: ${JSON.stringify({
				type: "response.output_item.added",
				item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
			})}`,
			`data: ${JSON.stringify({ type: "response.content_part.added", part: { type: "output_text", text: "" } })}`,
			`data: ${JSON.stringify({ type: "response.output_text.delta", delta: "Hello" })}`,
			`data: ${JSON.stringify({
				type: "response.output_item.done",
				item: {
					type: "message",
					id: "msg_1",
					role: "assistant",
					status: "completed",
					content: [{ type: "output_text", text: "Hello" }],
				},
			})}`,
			`data: ${JSON.stringify({
				type: "response.completed",
				response: {
					status: "completed",
					usage: {
						input_tokens: 5,
						output_tokens: 3,
						total_tokens: 8,
						input_tokens_details: { cached_tokens: 0 },
					},
				},
			})}`,
		].join("\n\n")}\n\n`;

		const encoder = new TextEncoder();
		const stream = new ReadableStream<Uint8Array>({
			start(controller) {
				controller.enqueue(encoder.encode(sse));
				controller.close();
			},
		});

		const fetchMock = vi.fn(async (input: string | URL, init?: RequestInit) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url === "https://api.github.com/repos/openai/codex/releases/latest") {
				return new Response(JSON.stringify({ tag_name: "rust-v0.0.0" }), { status: 200 });
			}
			if (url.startsWith("https://raw.githubusercontent.com/openai/codex/")) {
				return new Response("PROMPT", { status: 200, headers: { etag: '"etag"' } });
			}
			if (url === "https://chatgpt.com/backend-api/codex/responses") {
				const headers = init?.headers instanceof Headers ? init.headers : undefined;
				// Verify headers are not set when sessionId is not provided
				expect(headers?.has("session_id")).toBe(false);
				expect(headers?.has("x-client-request-id")).toBe(false);

				return new Response(stream, {
					status: 200,
					headers: { "content-type": "text/event-stream" },
				});
			}
			return new Response("not found", { status: 404 });
		});

		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};

		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		// No sessionId provided
		const streamResult = streamOpenAICodexResponses(model, context, { apiKey: token, transport: "sse" });
		await streamResult.result();
	});
	it("forwards auto transport from streamSimple options and uses cached websocket context", async () => {
		const token = mockToken();
		const sentBodies: unknown[] = [];

		const fetchMock = vi.fn(async () => new Response("unexpected fetch", { status: 500 }));
		vi.stubGlobal("fetch", fetchMock);

		class MockWebSocket {
			private listeners = new Map<string, Set<(event: unknown) => void>>();

			constructor(_url: string, _protocols?: string | string[] | { headers?: Record<string, string> }) {
				queueMicrotask(() => this.dispatch("open", {}));
			}

			addEventListener(type: string, listener: (event: unknown) => void): void {
				let listeners = this.listeners.get(type);
				if (!listeners) {
					listeners = new Set();
					this.listeners.set(type, listeners);
				}
				listeners.add(listener);
			}

			removeEventListener(type: string, listener: (event: unknown) => void): void {
				this.listeners.get(type)?.delete(listener);
			}

			send(data: string): void {
				sentBodies.push(JSON.parse(data));
				const events = [
					{
						type: "response.output_item.added",
						item: { type: "message", id: "msg_1", role: "assistant", status: "in_progress", content: [] },
					},
					{ type: "response.content_part.added", part: { type: "output_text", text: "" } },
					{ type: "response.output_text.delta", delta: "Hello" },
					{
						type: "response.output_item.done",
						item: {
							type: "message",
							id: "msg_1",
							role: "assistant",
							status: "completed",
							content: [{ type: "output_text", text: "Hello" }],
						},
					},
					{
						type: "response.completed",
						response: {
							status: "completed",
							usage: {
								input_tokens: 5,
								output_tokens: 3,
								total_tokens: 8,
								input_tokens_details: { cached_tokens: 0 },
							},
						},
					},
				];
				queueMicrotask(() => {
					for (const event of events) {
						this.dispatch("message", { data: JSON.stringify(event) });
					}
				});
			}

			close(): void {}

			private dispatch(type: string, event: unknown): void {
				for (const listener of this.listeners.get(type) ?? []) {
					listener(event);
				}
			}
		}

		vi.stubGlobal("WebSocket", MockWebSocket);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};
		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: 1 }],
		};

		await streamSimpleOpenAICodexResponses(model, context, {
			apiKey: token,
			sessionId: "session-auto",
			transport: "auto",
		}).result();

		expect(sentBodies).toHaveLength(1);
		expect(global.fetch).not.toHaveBeenCalled();
		expect(getOpenAICodexWebSocketDebugStats("session-auto")).toMatchObject({
			cachedContextRequests: 1,
			fullContextRequests: 1,
		});
	});

	it("sends only response input deltas in websocket-cached mode", async () => {
		const token = mockToken();
		const sentBodies: unknown[] = [];
		const responses = [
			{ responseId: "resp_1", messageId: "msg_1", text: "Hello" },
			{ responseId: "resp_2", messageId: "msg_2", text: "Done" },
		];

		class MockWebSocket {
			static OPEN = 1;
			readyState = MockWebSocket.OPEN;
			private listeners = new Map<string, Set<(event: unknown) => void>>();

			constructor(_url: string, _protocols?: string | string[] | { headers?: Record<string, string> }) {
				queueMicrotask(() => this.dispatch("open", {}));
			}

			addEventListener(type: string, listener: (event: unknown) => void): void {
				let listeners = this.listeners.get(type);
				if (!listeners) {
					listeners = new Set();
					this.listeners.set(type, listeners);
				}
				listeners.add(listener);
			}

			removeEventListener(type: string, listener: (event: unknown) => void): void {
				this.listeners.get(type)?.delete(listener);
			}

			send(data: string): void {
				sentBodies.push(JSON.parse(data));
				const response = responses.shift();
				if (!response) throw new Error("unexpected websocket request");
				const events = [
					{ type: "response.created", response: { id: response.responseId } },
					{
						type: "response.output_item.added",
						item: {
							type: "message",
							id: response.messageId,
							role: "assistant",
							status: "in_progress",
							content: [],
						},
					},
					{ type: "response.content_part.added", part: { type: "output_text", text: "" } },
					{ type: "response.output_text.delta", delta: response.text },
					{
						type: "response.output_item.done",
						item: {
							type: "message",
							id: response.messageId,
							role: "assistant",
							status: "completed",
							content: [{ type: "output_text", text: response.text }],
						},
					},
					{
						type: "response.completed",
						response: {
							id: response.responseId,
							status: "completed",
							usage: {
								input_tokens: 5,
								output_tokens: 3,
								total_tokens: 8,
								input_tokens_details: { cached_tokens: 0 },
							},
						},
					},
				];
				queueMicrotask(() => {
					for (const event of events) {
						this.dispatch("message", { data: JSON.stringify(event) });
					}
				});
			}

			close(): void {
				this.readyState = 3;
			}

			private dispatch(type: string, event: unknown): void {
				for (const listener of this.listeners.get(type) ?? []) {
					listener(event);
				}
			}
		}

		vi.stubGlobal("WebSocket", MockWebSocket);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};
		const firstContext: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: 1 }],
		};

		const first = await streamOpenAICodexResponses(model, firstContext, {
			apiKey: token,
			sessionId: "session-1",
			transport: "websocket-cached",
		}).result();

		const secondContext: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [...firstContext.messages, first, { role: "user", content: "Now finish", timestamp: 2 }],
		};
		await streamOpenAICodexResponses(model, secondContext, {
			apiKey: token,
			sessionId: "session-1",
			transport: "websocket-cached",
		}).result();

		expect(sentBodies).toHaveLength(2);
		const firstBody = sentBodies[0] as { input: unknown[]; previous_response_id?: string; store?: boolean };
		const secondBody = sentBodies[1] as { input: unknown[]; previous_response_id?: string; store?: boolean };
		expect(firstBody.store).toBe(false);
		expect(firstBody.previous_response_id).toBeUndefined();
		expect(firstBody.input).toEqual([{ role: "user", content: [{ type: "input_text", text: "Say hello" }] }]);
		expect(secondBody.store).toBe(false);
		expect(secondBody.previous_response_id).toBe("resp_1");
		expect(secondBody.input).toEqual([{ role: "user", content: [{ type: "input_text", text: "Now finish" }] }]);
		expect(getOpenAICodexWebSocketDebugStats("session-1")).toMatchObject({
			requests: 2,
			connectionsCreated: 1,
			connectionsReused: 1,
			cachedContextRequests: 2,
			storeTrueRequests: 0,
			fullContextRequests: 1,
			deltaRequests: 1,
			lastDeltaInputItems: 1,
			lastPreviousResponseId: "resp_1",
		});
	});

	it.each([
		["retry-after-ms", () => ({ "content-type": "application/json", "retry-after-ms": "1500" }), 1500],
		["retry-after seconds", () => ({ "content-type": "application/json", "retry-after": "60" }), 60_000],
		[
			"retry-after HTTP date",
			() => ({ "content-type": "application/json", "retry-after": new Date(Date.now() + 45_000).toUTCString() }),
			45_000,
		],
	] as const)("uses %s for SSE retries", async (_name, makeHeaders, expectedDelay) => {
		vi.useFakeTimers();
		vi.setSystemTime(new Date("2026-05-13T00:00:00Z"));
		const setTimeoutSpy = vi.spyOn(globalThis, "setTimeout");
		const token = mockToken();
		const encoder = new TextEncoder();
		const sse = buildSSEPayload({ status: "completed" });
		let codexRequests = 0;

		const fetchMock = vi.fn(async (input: string | URL) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url !== "https://chatgpt.com/backend-api/codex/responses") {
				throw new Error(`Unexpected URL: ${url}`);
			}

			codexRequests++;
			if (codexRequests === 1) {
				return new Response(JSON.stringify({ error: { code: "rate_limit_exceeded", message: "rate limited" } }), {
					status: 429,
					headers: makeHeaders(),
				});
			}

			return new Response(
				new ReadableStream<Uint8Array>({
					start(controller) {
						controller.enqueue(encoder.encode(sse));
						controller.close();
					},
				}),
				{ status: 200, headers: { "content-type": "text/event-stream" } },
			);
		});
		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};
		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		const resultPromise = streamOpenAICodexResponses(model, context, { apiKey: token, transport: "sse" }).result();
		await vi.advanceTimersByTimeAsync(0);
		expect(setTimeoutSpy).toHaveBeenCalledWith(expect.any(Function), expectedDelay);

		await vi.advanceTimersToNextTimerAsync();
		const result = await resultPromise;
		expect(result.content.find((content) => content.type === "text")?.text).toBe("Hello");
		expect(codexRequests).toBe(2);
	});

	it("uses exponential backoff across repeated SSE retries without retry headers", async () => {
		vi.useFakeTimers();
		vi.setSystemTime(new Date("2026-05-13T00:00:00Z"));
		const setTimeoutSpy = vi.spyOn(globalThis, "setTimeout");
		const token = mockToken();
		const encoder = new TextEncoder();
		const sse = buildSSEPayload({ status: "completed" });
		let codexRequests = 0;

		const fetchMock = vi.fn(async (input: string | URL) => {
			const url = typeof input === "string" ? input : input.toString();
			if (url !== "https://chatgpt.com/backend-api/codex/responses") {
				throw new Error(`Unexpected URL: ${url}`);
			}

			codexRequests++;
			if (codexRequests <= 3) {
				return new Response(JSON.stringify({ error: { code: "rate_limit_exceeded", message: "rate limited" } }), {
					status: 429,
					headers: { "content-type": "application/json" },
				});
			}

			return new Response(
				new ReadableStream<Uint8Array>({
					start(controller) {
						controller.enqueue(encoder.encode(sse));
						controller.close();
					},
				}),
				{ status: 200, headers: { "content-type": "text/event-stream" } },
			);
		});
		vi.stubGlobal("fetch", fetchMock);

		const model: Model<"openai-codex-responses"> = {
			id: "gpt-5.1-codex",
			name: "GPT-5.1 Codex",
			api: "openai-codex-responses",
			provider: "openai-codex",
			baseUrl: "https://chatgpt.com/backend-api",
			reasoning: true,
			input: ["text"],
			cost: { input: 0, output: 0, cacheRead: 0, cacheWrite: 0 },
			contextWindow: 400000,
			maxTokens: 128000,
		};
		const context: Context = {
			systemPrompt: "You are a helpful assistant.",
			messages: [{ role: "user", content: "Say hello", timestamp: Date.now() }],
		};

		const resultPromise = streamOpenAICodexResponses(model, context, { apiKey: token, transport: "sse" }).result();
		await vi.advanceTimersByTimeAsync(0);
		expect(setTimeoutSpy).toHaveBeenNthCalledWith(1, expect.any(Function), 1000);

		await vi.advanceTimersToNextTimerAsync();
		expect(setTimeoutSpy).toHaveBeenNthCalledWith(2, expect.any(Function), 2000);

		await vi.advanceTimersToNextTimerAsync();
		expect(setTimeoutSpy).toHaveBeenNthCalledWith(3, expect.any(Function), 4000);

		await vi.advanceTimersToNextTimerAsync();
		const result = await resultPromise;
		expect(result.content.find((content) => content.type === "text")?.text).toBe("Hello");
		expect(codexRequests).toBe(4);
	});
});