diff --git a/src/index.ts b/src/index.ts
index 09eb9fa..bf77cac 100644
--- a/src/index.ts
+++ b/src/index.ts
@@ -28,6 +28,7 @@ import { checkBodySize } from "./middleware/body-limiter";
 import { createRateLimiter } from "./middleware/rate-limiter";
 import { logRelayEvent } from "./middleware/logger";
 import { ProxyPool } from "./lib/proxy-pool";
+import { handleChatCompletion, listModels } from "./lib/ai-proxy";
 
 import type { Server, ServerWebSocket } from "bun";
 
@@ -473,6 +474,45 @@ const server: Server<WSRelayData> = Bun.serve<WSRelayData>({
 		if (url.pathname === "/" && req.method === "GET" && !req.headers.get("x-relay-target"))
 		return handleIndex();
 
+		// AI proxy routes — OpenAI-compatible API
+		if (url.pathname === "/v1/chat/completions") {
+			if (req.method === "OPTIONS") {
+				return createCorsPreflightResponse();
+			}
+			if (req.method !== "POST") {
+				return new Response("Method Not Allowed", { status: 405 });
+			}
+			try {
+				const body = await req.json();
+				return handleChatCompletion(body, proxyPool);
+			} catch (e) {
+				return new Response(
+					JSON.stringify({ error: { message: "Invalid JSON body", type: "invalid_request_error" } }),
+					{ status: 400, headers: { "Content-Type": "application/json", "Access-Control-Allow-Origin": "*" } },
+				);
+			}
+		}
+		if (url.pathname === "/v1/models" && req.method === "GET") {
+			return new Response(
+				JSON.stringify({
+					object: "list",
+					data: listModels().map((id) => ({
+						id,
+						object: "model",
+						created: Math.floor(Date.now() / 1000),
+						owned_by: "edge-proxy",
+					})),
+				}),
+				{
+					status: 200,
+					headers: {
+						"Content-Type": "application/json",
+						"Access-Control-Allow-Origin": "*",
+					},
+				},
+			);
+		}
+
 		// WebSocket upgrade check — if the target is ws:// or wss://,
 		// attempt to upgrade and relay.  This must happen before the
 		// general HTTP relay.
diff --git a/src/lib/ai-proxy.ts b/src/lib/ai-proxy.ts
new file mode 100644
index 0000000..3c799dd
--- /dev/null
+++ b/src/lib/ai-proxy.ts
@@ -0,0 +1,474 @@
+/**
+ * OpenAI-compatible AI proxy.
+ *
+ * Accepts requests in OpenAI Chat Completions format (POST /v1/chat/completions)
+ * and routes them to various backend AI providers based on the model name.
+ *
+ * Supported backends:
+ *   - opencode.ai (OpenAI-compatible — passthrough)
+ *   - surfsense.com (custom format — adapted)
+ *   - deep-seek.ai (custom format — adapted)
+ *
+ * Streaming (SSE) is supported for all backends.
+ */
+
+import type { ProxyPool } from "./proxy-pool";
+
+// ─── Types ───────────────────────────────────────────────────────────────────────
+
+export interface OpenAIRequest {
+	model: string;
+	messages: Array<{ role: string; content: string }>;
+	temperature?: number;
+	max_tokens?: number;
+	top_p?: number;
+	stream?: boolean;
+	stop?: string | string[];
+	presence_penalty?: number;
+	frequency_penalty?: number;
+}
+
+export interface BackendConfig {
+	provider: string;
+	url: string;
+	method?: "POST" | "GET";
+	/** Extra headers to include (origin, referer, etc.) */
+	headers: Record<string, string>;
+	/** Field name for the model in the backend request (default: "model") */
+	modelField?: string;
+	/** Transform the OpenAI request into the backend format */
+	adaptRequest?: (req: OpenAIRequest) => unknown;
+	/** Transform a backend JSON response into OpenAI format */
+	adaptResponse?: (raw: unknown, req: OpenAIRequest) => unknown;
+	/** Transform a backend SSE/stream line into OpenAI SSE line (or null to skip) */
+	adaptStreamLine?: (line: string, req: OpenAIRequest) => string | null;
+}
+
+// ─── Model routing table ─────────────────────────────────────────────────────────
+
+const MODEL_ROUTES: Record<string, BackendConfig> = {
+	// ── opencode.ai (OpenAI-compatible — passthrough) ────────────────
+	"deepseek-v4-flash-free": {
+		provider: "opencode",
+		url: "https://opencode.ai/zen/v1/chat/completions",
+		headers: {
+			"Content-Type": "application/json",
+		},
+	},
+
+	// ── surfsense.com (custom format) ───────────────────────────────
+	"gpt-5.4-mini-no-login": {
+		provider: "surfsense",
+		url: "https://api.surfsense.com/api/v1/public/anon-chat/stream",
+		modelField: "model_slug",
+		headers: {
+			accept: "*/*",
+			"accept-language": "en-US,en;q=0.7",
+			"content-type": "application/json",
+			origin: "https://www.surfsense.com",
+			referer: "https://www.surfsense.com/",
+			"user-agent":
+				"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36",
+		},
+		adaptRequest: (req) => ({
+			model_slug: req.model,
+			messages: req.messages,
+		}),
+		adaptStreamLine: (line) => {
+			// surfsense returns lines like: data: {"content":"Hello","done":false}
+			if (!line.startsWith("data: ")) return null;
+			try {
+				const raw = JSON.parse(line.slice(6));
+				if (raw.done) return "data: [DONE]";
+				return `data: ${JSON.stringify({
+					id: `chatcmpl-${Date.now()}`,
+					object: "chat.completion.chunk",
+					created: Math.floor(Date.now() / 1000),
+					model: "gpt-5.4-mini-no-login",
+					choices: [
+						{
+							index: 0,
+							delta: { content: raw.content ?? "" },
+							finish_reason: null,
+						},
+					],
+				})}`;
+			} catch {
+				return null;
+			}
+		},
+		adaptResponse: (raw: any) => ({
+			id: `chatcmpl-${Date.now()}`,
+			object: "chat.completion",
+			created: Math.floor(Date.now() / 1000),
+			model: "gpt-5.4-mini-no-login",
+			choices: [
+				{
+					index: 0,
+					message: {
+						role: "assistant",
+						content: raw.content ?? raw.text ?? "",
+					},
+					finish_reason: "stop",
+				},
+			],
+			usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 },
+		}),
+	},
+
+	// ── deep-seek.ai (custom format) ────────────────────────────────
+	"deepseek/deepseek-v4-flash": {
+		provider: "deepseek",
+		url: "https://deep-seek.ai/api/chat",
+		headers: {
+			Accept: "*/*",
+			"Accept-Language": "en-US,en;q=0.8",
+			"Content-Type": "application/json",
+			Origin: "https://deep-seek.ai",
+			Referer: "https://deep-seek.ai/chat",
+			"User-Agent":
+				"Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/148.0.0.0 Safari/537.36",
+		},
+		adaptStreamLine: (line) => {
+			// deep-seek.ai may return plain text chunks or SSE-like data
+			if (!line || line.trim().length === 0) return null;
+			// If it's already SSE format, try to pass through
+			if (line.startsWith("data: ")) {
+				// Rewrite the id and object fields
+				try {
+					const parsed = JSON.parse(line.slice(6));
+					parsed.id = `chatcmpl-${Date.now()}`;
+					parsed.object = "chat.completion.chunk";
+					parsed.created = Math.floor(Date.now() / 1000);
+					parsed.model = "deepseek/deepseek-v4-flash";
+					return `data: ${JSON.stringify(parsed)}`;
+				} catch {
+					return line;
+				}
+			}
+			// Plain text chunks — wrap in OpenAI SSE format
+			return `data: ${JSON.stringify({
+				id: `chatcmpl-${Date.now()}`,
+				object: "chat.completion.chunk",
+				created: Math.floor(Date.now() / 1000),
+				model: "deepseek/deepseek-v4-flash",
+				choices: [
+					{
+						index: 0,
+						delta: { content: line },
+						finish_reason: null,
+					},
+				],
+			})}`;
+		},
+		adaptResponse: (raw: any) => ({
+			id: `chatcmpl-${Date.now()}`,
+			object: "chat.completion",
+			created: Math.floor(Date.now() / 1000),
+			model: "deepseek/deepseek-v4-flash",
+			choices: [
+				{
+					index: 0,
+					message: {
+						role: "assistant",
+						content: raw.choices?.[0]?.message?.content ?? raw.content ?? raw.text ?? "",
+					},
+					finish_reason: "stop",
+				},
+			],
+			usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 },
+		}),
+	},
+};
+
+// ─── Helpers ─────────────────────────────────────────────────────────────────────
+
+/** List all available model names. */
+export function listModels(): string[] {
+	return Object.keys(MODEL_ROUTES);
+}
+
+/** Look up a backend config by model name. */
+export function resolveModel(model: string): BackendConfig | undefined {
+	return MODEL_ROUTES[model];
+}
+
+// ─── Request building ────────────────────────────────────────────────────────────
+
+/**
+ * Build the backend `fetch()` options from an OpenAI-style request.
+ */
+function buildBackendRequest(
+	req: OpenAIRequest,
+	config: BackendConfig,
+	proxyPool?: ProxyPool,
+): { url: string; init: RequestInit & { proxy?: string } } {
+	const body =
+		config.adaptRequest?.(req) ?? {
+			model: req.model,
+			messages: req.messages,
+			temperature: req.temperature,
+			max_tokens: req.max_tokens,
+			top_p: req.top_p,
+			stream: req.stream,
+			stop: req.stop,
+		};
+
+	const init: RequestInit & { proxy?: string } = {
+		method: config.method ?? "POST",
+		headers: config.headers,
+		body: JSON.stringify(body),
+	};
+
+	// Direct first, proxy as fallback (if pool available)
+	if (proxyPool && proxyPool.size > 0) {
+		init.proxy = undefined; // start direct
+	}
+
+	return { url: config.url, init };
+}
+
+// ─── Response parsing ───────────────────────────────────────────────────────────
+
+/**
+ * Try to parse a JSON response into OpenAI format.
+ * Falls back to a generic wrapper if the adapter is unavailable.
+ */
+function parseJSONResponse(
+	text: string,
+	config: BackendConfig,
+	req: OpenAIRequest,
+): unknown {
+	if (config.adaptResponse) {
+		try {
+			const raw = JSON.parse(text);
+			return config.adaptResponse(raw, req);
+		} catch {
+			// fall through
+		}
+	}
+
+	// Default fallback — assume raw text is the content
+	return {
+		id: `chatcmpl-${Date.now()}`,
+		object: "chat.completion",
+		created: Math.floor(Date.now() / 1000),
+		model: req.model,
+		choices: [
+			{
+				index: 0,
+				message: { role: "assistant", content: text },
+				finish_reason: "stop",
+			},
+		],
+		usage: { prompt_tokens: 0, completion_tokens: 0, total_tokens: 0 },
+	};
+}
+
+// ─── Main handler ───────────────────────────────────────────────────────────────
+
+/**
+ * Handle an OpenAI-compatible chat completions request.
+ *
+ * @param body  Parsed JSON body (OpenAI format)
+ * @param proxyPool  Optional proxy pool for fallback on failure
+ */
+export async function handleChatCompletion(
+	body: unknown,
+	proxyPool?: ProxyPool,
+): Promise<Response> {
+	const req = body as OpenAIRequest;
+
+	if (!req.model) {
+		return new Response(
+			JSON.stringify({ error: { message: "model is required", type: "invalid_request_error" } }),
+			{ status: 400, headers: { "Content-Type": "application/json" } },
+		);
+	}
+
+	const config = resolveModel(req.model);
+	if (!config) {
+		return new Response(
+			JSON.stringify({
+				error: {
+					message: `Unknown model: ${req.model}. Available: ${listModels().join(", ")}`,
+					type: "invalid_request_error",
+				},
+			}),
+			{
+				status: 400,
+				headers: {
+					"Content-Type": "application/json",
+					"Access-Control-Allow-Origin": "*",
+				},
+			},
+		);
+	}
+
+	const wantsStream = req.stream === true;
+	const { url, init } = buildBackendRequest(req, config, proxyPool);
+
+	// ── Execute (direct → proxy fallback) ─────────────────────────
+	let response: Response | undefined;
+
+	for (let attempt = 0; attempt < 3; attempt++) {
+		if (attempt === 0) {
+			init.proxy = undefined; // direct
+		} else if (attempt === 1 && proxyPool && proxyPool.size > 0) {
+			init.proxy = proxyPool.getProxyUrl()!;
+		} else if (attempt >= 2 && proxyPool && proxyPool.size > 0) {
+			const next = proxyPool.markFailed();
+			if (!next) break;
+			init.proxy = proxyPool.getProxyUrl()!;
+		} else {
+			break;
+		}
+
+		try {
+			response = await fetch(url, init);
+			if (response.ok && proxyPool && proxyPool.size > 0 && init.proxy && attempt > 0) {
+				proxyPool.markSuccess();
+			}
+			if (response.ok || response.status < 500) break; // non-5xx = no retry
+		} catch {
+			// fall through to next attempt
+		}
+	}
+
+	if (!response) {
+		return new Response(
+			JSON.stringify({
+				error: { message: "Upstream service unreachable after retries", type: "server_error" },
+			}),
+			{ status: 502, headers: { "Content-Type": "application/json", "Access-Control-Allow-Origin": "*" } },
+		);
+	}
+
+	// ── Handle error responses from backend ───────────────────────
+	if (!response.ok) {
+		const errBody = await response.text().catch(() => "");
+		return new Response(
+			JSON.stringify({
+				error: {
+					message: `Upstream error ${response.status}: ${errBody.slice(0, 500)}`,
+					type: "upstream_error",
+				},
+			}),
+			{
+				status: response.status,
+				headers: { "Content-Type": "application/json", "Access-Control-Allow-Origin": "*" },
+			},
+		);
+	}
+
+	// ── Handle streaming ─────────────────────────────────────────
+	if (wantsStream || isStreamableResponse(response)) {
+		const contentType = response.headers.get("content-type") ?? "";
+		const isNativeStream = contentType.includes("text/event-stream");
+
+		if (isNativeStream && config.provider === "opencode") {
+			// Passthrough for OpenAI-compatible SSE
+			return new Response(response.body, {
+				status: 200,
+				headers: {
+					"Content-Type": "text/event-stream",
+					"Cache-Control": "no-cache",
+					Connection: "keep-alive",
+					"Access-Control-Allow-Origin": "*",
+					"X-Accel-Buffering": "no",
+				},
+			});
+		}
+
+		// Transform the stream
+		const transformed = transformStream(
+			response.body!,
+			config,
+			req,
+		);
+		return new Response(transformed, {
+			status: 200,
+			headers: {
+				"Content-Type": "text/event-stream",
+				"Cache-Control": "no-cache",
+				Connection: "keep-alive",
+				"Access-Control-Allow-Origin": "*",
+				"X-Accel-Buffering": "no",
+			},
+		});
+	}
+
+	// ── Handle non-streaming response ─────────────────────────────
+	const text = await response.text();
+	const adapted = parseJSONResponse(text, config, req);
+
+	return new Response(JSON.stringify(adapted), {
+		status: 200,
+		headers: {
+			"Content-Type": "application/json",
+			"Access-Control-Allow-Origin": "*",
+		},
+	});
+}
+
+// ─── Stream handling ────────────────────────────────────────────────────────────
+
+function isStreamableResponse(res: Response): boolean {
+	const ct = res.headers.get("content-type") ?? "";
+	return (
+		ct.includes("text/event-stream") ||
+		ct.includes("application/x-ndjson") ||
+		ct.includes("text/plain")
+	);
+}
+
+/**
+ * Transform a backend ReadableStream into OpenAI SSE format.
+ * Uses the config's `adaptStreamLine` if available.
+ */
+function transformStream(
+	body: ReadableStream,
+	config: BackendConfig,
+	req: OpenAIRequest,
+): ReadableStream {
+	const reader = body.getReader();
+	const decoder = new TextDecoder();
+	const encoder = new TextEncoder();
+
+	return new ReadableStream({
+		async pull(controller) {
+			try {
+				while (true) {
+					const { done, value } = await reader.read();
+					if (done) {
+						controller.enqueue(encoder.encode("data: [DONE]\n\n"));
+						controller.close();
+						return;
+					}
+
+					const chunk = decoder.decode(value, { stream: true });
+					const lines = chunk.split("\n");
+
+					for (const line of lines) {
+						if (config.adaptStreamLine) {
+							const adapted = config.adaptStreamLine(line, req);
+							if (adapted) {
+								controller.enqueue(encoder.encode(adapted + "\n\n"));
+							}
+						} else {
+							// Default passthrough
+							controller.enqueue(encoder.encode(line + "\n\n"));
+						}
+					}
+				}
+			} catch (err) {
+				controller.enqueue(
+					encoder.encode(
+						`data: ${JSON.stringify({ error: String(err) })}\n\n`,
+					),
+				);
+				controller.close();
+			}
+		},
+	});
+}