feat: antropik cache — default anthropic-version, forward cache headers, model features, streaming usage, tests

- Auto-default anthropic-version to 2023-06-01 for prompt caching
- Forward cache headers (x-cache, cf-cache-status, age, etc.) from backend
- Add features: ["prompt_caching"] to /v1/models response
- Extract and report actual usage tokens in streaming message_delta
- Track output char count for token estimation when backend omits it
- Cache-aware usage reporting: cache_creation_input_tokens, cache_read_input_tokens
- Comprehensive tests for cache_control preservation in content blocks & system

src/index.ts

@@ -569,15 +569,17 @@ const server: Server<WSRelayData> = Bun.serve<WSRelayData>({
 		if (url.pathname === "/v1/models" && req.method === "GET") {
 			const authErr = requireAuth(req);
 			if (authErr) return authErr;
+			const models = listModels().map((id) => ({
+				id,
+				object: "model",
+				created: Math.floor(Date.now() / 1000),
+				owned_by: "edge-proxy",
+				features: ["prompt_caching"],
+			}));
 			return new Response(
 				JSON.stringify({
 					object: "list",
-					data: listModels().map((id) => ({
+					data: models,
-						id,
-						object: "model",
-						created: Math.floor(Date.now() / 1000),
-						owned_by: "edge-proxy",
-					})),
 				}),
 				{
 					status: 200,

src/lib/anthropic-proxy.test.ts

@@ -0,0 +1,219 @@
+import { test, expect, describe } from "bun:test";
+import { anthropicToBackend } from "./anthropic-proxy";
+import type { BackendConfig } from "./ai-proxy";
+
+const passthroughConfig: BackendConfig = {
+	provider: "opencode",
+	url: "https://opencode.ai/zen/v1/chat/completions",
+	headers: { "Content-Type": "application/json" },
+};
+
+const customConfig: BackendConfig = {
+	provider: "opencode",
+	url: "https://opencode.ai/zen/v1/chat/completions",
+	headers: { "Content-Type": "application/json" },
+	anthropicPassthrough: true,
+};
+
+const nativeConfig: BackendConfig = {
+	provider: "opencode",
+	url: "https://opencode.ai/zen/v1/messages",
+	headers: { "Content-Type": "application/json" },
+	anthropicPassthrough: true,
+};
+
+describe("anthropicToBackend", () => {
+	test("should flatten content blocks without cache_control to plain string", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				messages: [
+					{
+						role: "user",
+						content: [
+							{ type: "text", text: "Hello " },
+							{ type: "text", text: "world" },
+						],
+					},
+				],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		const body = result.body as any;
+		expect(body.messages[0].content).toBe("Hello world");
+	});
+
+	test("should preserve content blocks with cache_control as structured array", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				messages: [
+					{
+						role: "user",
+						content: [
+							{ type: "text", text: "Large context...", cache_control: { type: "ephemeral" } },
+							{ type: "text", text: "Follow up question" },
+						],
+					},
+				],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		const body = result.body as any;
+		expect(Array.isArray(body.messages[0].content)).toBe(true);
+		expect(body.messages[0].content[0].cache_control).toEqual({ type: "ephemeral" });
+		expect(body.messages[0].content[0].text).toBe("Large context...");
+		expect(body.messages[0].content[1].text).toBe("Follow up question");
+	});
+
+	test("should not add cache_control to blocks that don't have it", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				messages: [
+					{
+						role: "user",
+						content: [
+							{ type: "text", text: "Hello" },
+							{ type: "text", text: "world", cache_control: { type: "ephemeral" } },
+						],
+					},
+				],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		const body = result.body as any;
+		expect(Array.isArray(body.messages[0].content)).toBe(true);
+		expect(body.messages[0].content[0].cache_control).toBeUndefined();
+		expect(body.messages[0].content[1].cache_control).toEqual({ type: "ephemeral" });
+	});
+
+	test("should flatten system prompt as string when no cache_control", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				system: [
+					{ type: "text", text: "You are helpful." },
+					{ type: "text", text: "Be concise." },
+				],
+				messages: [{ role: "user", content: "Hi" }],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		const body = result.body as any;
+		expect(body.messages[0].role).toBe("system");
+		expect(body.messages[0].content).toBe("You are helpful.Be concise.");
+	});
+
+	test("should preserve system prompt cache_control as structured array", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				system: [
+					{ type: "text", text: "Long system instruction...", cache_control: { type: "ephemeral" } },
+				],
+				messages: [{ role: "user", content: "Hi" }],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		const body = result.body as any;
+		expect(body.messages[0].role).toBe("system");
+		expect(Array.isArray(body.messages[0].content)).toBe(true);
+		expect(body.messages[0].content[0].cache_control).toEqual({ type: "ephemeral" });
+	});
+
+	test("should forward anthropic-version header when provided", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				messages: [{ role: "user", content: "Hello" }],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+			"2023-06-01",
+		);
+		expect(result.headers?.["anthropic-version"]).toBe("2023-06-01");
+	});
+
+	test("should not add anthropic-version header when not provided", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				messages: [{ role: "user", content: "Hello" }],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		expect(result.headers?.["anthropic-version"]).toBeUndefined();
+	});
+
+	test("should pass through full Anthropic request when anthropicPassthrough is true", () => {
+		const result = anthropicToBackend(
+			{
+				model: "claude-sonnet-4-20250514",
+				max_tokens: 100,
+				system: [{ type: "text", text: "Be helpful.", cache_control: { type: "ephemeral" } }],
+				messages: [
+					{
+						role: "user",
+						content: [
+							{ type: "text", text: "Hello", cache_control: { type: "ephemeral" } },
+						],
+					},
+				],
+				stream: true,
+			},
+			nativeConfig,
+			"claude-sonnet-4-20250514",
+			"2023-06-01",
+		);
+		const body = result.body as any;
+		expect(body.model).toBe("claude-sonnet-4-20250514");
+		expect(body.messages[0].content[0].cache_control).toEqual({ type: "ephemeral" });
+		expect(body.system[0].cache_control).toEqual({ type: "ephemeral" });
+		expect(body.stream).toBe(true);
+		expect(result.headers?.["anthropic-version"]).toBe("2023-06-01");
+	});
+
+	test("should handle string content (not array) in messages", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				messages: [{ role: "user", content: "Plain text message" }],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		const body = result.body as any;
+		expect(body.messages[0].content).toBe("Plain text message");
+	});
+
+	test("should handle string system prompt", () => {
+		const result = anthropicToBackend(
+			{
+				model: "deepseek-v4-flash-free",
+				max_tokens: 100,
+				system: "You are a helpful assistant.",
+				messages: [{ role: "user", content: "Hi" }],
+			},
+			passthroughConfig,
+			"deepseek-v4-flash-free",
+		);
+		const body = result.body as any;
+		expect(body.messages[0].role).toBe("system");
+		expect(body.messages[0].content).toBe("You are a helpful assistant.");
+	});
+});

src/lib/anthropic-proxy.ts

@@ -11,7 +11,7 @@
  */
 
 import type { ProxyPool, SessionProxyPool } from "./proxy-pool";
-import { MODEL_ROUTES, listModels as listOpenAIModels, type BackendConfig } from "./ai-proxy";
+import { MODEL_ROUTES, type BackendConfig } from "./ai-proxy";
 import { fetchWithRetry, fetchWithSessionRetry, SSELineBuffer, isDevMode, trackReader, releaseReader, wrapStreamWithCleanup, type FetchWithRetryResult } from "./fetch-utils";
 
 // --- Types -------------------------------------------------------------------
@@ -54,7 +54,12 @@ interface AnthropicResponse {
 	model: string;
 	stop_reason: "end_turn" | "max_tokens" | "stop_sequence" | null;
 	stop_sequence: string | null;
-	usage: { input_tokens: number; output_tokens: number };
+	usage: {
+		input_tokens: number;
+		output_tokens: number;
+		cache_creation_input_tokens?: number;
+		cache_read_input_tokens?: number;
+	};
 }
 
 // --- Model resolution ----------------------------------------------------------
@@ -93,8 +98,10 @@ interface BackendBody {
  *
  * Preserves Anthropic content blocks with cache_control so that
  * caching directives are not lost during translation.
+ *
+ * @internal Exported for testing.
  */
-function anthropicToBackend(
+export function anthropicToBackend(
 	anthReq: AnthropicRequest,
 	config: BackendConfig,
 	backendModel: string,
@@ -202,9 +209,31 @@ function anthropicToBackend(
 
 // --- Translation: Backend -> Anthropic -----------------------------------------
 
+/**
+ * Extract usage tokens from a backend response, normalizing across
+ * OpenAI, Anthropic, and custom formats.
+ */
+function extractUsage(raw: any): AnthropicResponse["usage"] {
+	const usage = raw.usage ?? {};
+	return {
+		input_tokens:
+			usage.input_tokens ??
+			usage.prompt_tokens ??
+			0,
+		output_tokens:
+			usage.output_tokens ??
+			usage.completion_tokens ??
+			0,
+		cache_creation_input_tokens:
+			usage.cache_creation_input_tokens ?? undefined,
+		cache_read_input_tokens:
+			usage.cache_read_input_tokens ?? undefined,
+	};
+}
+
 /**
  * Convert a backend JSON response body into Anthropic Messages format.
- * Extracts token usage from the backend response when available.
+ * Extracts token usage and cache metrics from the backend response.
  */
 function backendToAnthropicResponse(
 	raw: any,
@@ -213,15 +242,6 @@ function backendToAnthropicResponse(
 	const text =
 		raw.choices?.[0]?.message?.content ?? raw.content ?? raw.text ?? "";
 
-	// Extract usage from various backend formats
-	const usage = raw.usage ?? {};
-	let inputTokens = 0;
-	let outputTokens = 0;
-	if (usage.input_tokens !== undefined) inputTokens = usage.input_tokens;
-	else if (usage.prompt_tokens !== undefined) inputTokens = usage.prompt_tokens;
-	if (usage.output_tokens !== undefined) outputTokens = usage.output_tokens;
-	else if (usage.completion_tokens !== undefined) outputTokens = usage.completion_tokens;
-
 	return {
 		id: raw.id ?? `msg_${Date.now()}`,
 		type: "message",
@@ -230,10 +250,7 @@ function backendToAnthropicResponse(
 		model,
 		stop_reason: raw.choices?.[0]?.finish_reason === "stop" ? "end_turn" : null,
 		stop_sequence: raw.stop_sequence ?? null,
-		usage: {
+		usage: extractUsage(raw),
-			input_tokens: inputTokens,
-			output_tokens: outputTokens,
-		},
 	};
 }
 
@@ -293,16 +310,51 @@ function extractTextFromSSE(parsed: any): string | null {
 	return null;
 }
 
+/**
+ * Try to extract usage info from a backend SSE data line.
+ * Returns usage object if found, null otherwise.
+ */
+function extractUsageFromSSELine(line: string): AnthropicResponse["usage"] | null {
+	if (!line.startsWith("data: ")) return null;
+	const raw = line.slice(6);
+	if (raw === "[DONE]") return null;
+	try {
+		const parsed = JSON.parse(raw);
+		if (parsed.usage) {
+			return extractUsage(parsed);
+		}
+	} catch {
+		// skip unparseable
+	}
+	return null;
+}
+
 /**
  * Transform a backend SSE line into Anthropic SSE content_block_delta events.
+ * Optionally collects usage from the stream.
+ * When outputCounter is provided, tracks the number of output characters
+ * for estimating output tokens when the backend doesn't report them.
  */
 function backendLineToAnthropicSSE(
 	line: string,
 	_model: string,
 	config: BackendConfig,
+	usageAccum?: AnthropicResponse["usage"],
+	outputCounter?: OutputCounter,
 ): string | null {
 	if (!line || line.trim().length === 0) return null;
 
+	// Try to extract usage from this line
+	if (usageAccum) {
+		const lineUsage = extractUsageFromSSELine(line);
+		if (lineUsage) {
+			if (lineUsage.input_tokens) usageAccum.input_tokens = lineUsage.input_tokens;
+			if (lineUsage.output_tokens) usageAccum.output_tokens = lineUsage.output_tokens;
+			if (lineUsage.cache_creation_input_tokens) usageAccum.cache_creation_input_tokens = lineUsage.cache_creation_input_tokens;
+			if (lineUsage.cache_read_input_tokens) usageAccum.cache_read_input_tokens = lineUsage.cache_read_input_tokens;
+		}
+	}
+
 	if (config.adaptStreamLine) {
 		const adapted = config.adaptStreamLine(line, {} as any);
 		if (!adapted) return null;
@@ -312,7 +364,10 @@ function backendLineToAnthropicSSE(
 		try {
 			const parsed = JSON.parse(adapted.replace(/^data: /, ""));
 			const text = extractTextFromSSE(parsed);
-			if (text) return formatContentBlockDelta(text);
+			if (text) {
+				if (outputCounter) outputCounter.chars += text.length;
+				return formatContentBlockDelta(text);
+			}
 			return null;
 		} catch {
 			return null;
@@ -332,7 +387,10 @@ function backendLineToAnthropicSSE(
 				return null;
 			}
 			const text = extractTextFromSSE(parsed);
-			if (text) return formatContentBlockDelta(text);
+			if (text) {
+				if (outputCounter) outputCounter.chars += text.length;
+				return formatContentBlockDelta(text);
+			}
 			return null;
 		} catch {
 			// Not JSON -- treat as plain text
@@ -340,6 +398,7 @@ function backendLineToAnthropicSSE(
 	}
 
 	if (line.length > 0) {
+		if (outputCounter) outputCounter.chars += line.length;
 		return formatContentBlockDelta(line);
 	}
 
@@ -355,6 +414,11 @@ function formatContentBlockDelta(text: string): string {
 	})}`;
 }
 
+/** Mutable counter shared between backendLineToAnthropicSSE and its caller. */
+interface OutputCounter {
+	chars: number;
+}
+
 // --- Stream transformer --------------------------------------------------------
 
 function transformAnthropicStream(
@@ -369,6 +433,14 @@ function transformAnthropicStream(
 
 	let phase: "init" | "block" | "done" = "init";
 	let messageId = `msg_${Date.now()}`;
+	const outputCounter: OutputCounter = { chars: 0 };
+
+	// Accumulate usage from backend SSE lines (some backends include usage
+	// in their SSE data). Start with zeros, update as we parse lines.
+	const usage: AnthropicResponse["usage"] = {
+		input_tokens: 0,
+		output_tokens: 0,
+	};
 
 	// SSE keepalive: send a comment every 15s to prevent LB/proxy timeout
 	let keepaliveTimer: ReturnType<typeof setInterval> | null = null;
@@ -411,7 +483,7 @@ function transformAnthropicStream(
 							model,
 							stop_reason: null,
 							stop_sequence: null,
-							usage: { input_tokens: 0, output_tokens: 0 },
+							usage,
 						},
 					})}`;
 					controller.enqueue(encoder.encode(startEvent + "\n\n"));
@@ -425,8 +497,6 @@ function transformAnthropicStream(
 				}
 
 				while (phase === "block") {
-					// Process multiple chunks before yielding to event loop
-					// to reduce per-chunk setTimeout overhead (~1-4ms each)
 					const BATCH_SIZE = 8;
 					let chunksProcessed = 0;
 
@@ -437,7 +507,7 @@ function transformAnthropicStream(
 							releaseReader(reader);
 							const remaining = lineBuffer.flush();
 							if (remaining.length > 0) {
-								const adapted = backendLineToAnthropicSSE(remaining, model, config);
+								const adapted = backendLineToAnthropicSSE(remaining, model, config, usage, outputCounter);
 								if (adapted) {
 									controller.enqueue(encoder.encode(adapted + "\n\n"));
 								}
@@ -450,7 +520,7 @@ function transformAnthropicStream(
 						const lines = lineBuffer.add(chunk);
 
 						for (const line of lines) {
-							const adapted = backendLineToAnthropicSSE(line, model, config);
+							const adapted = backendLineToAnthropicSSE(line, model, config, usage, outputCounter);
 							if (adapted) {
 								controller.enqueue(encoder.encode(adapted + "\n\n"));
 							}
@@ -460,7 +530,7 @@ function transformAnthropicStream(
 						if (chunksProcessed >= BATCH_SIZE) {
 							chunksProcessed = 0;
 							await new Promise((r) => setTimeout(r, 0));
-							return; // Yield to event loop, pull will be called again
+							return;
 						}
 					}
 				}
@@ -468,6 +538,12 @@ function transformAnthropicStream(
 				if (phase === "done") {
 					phase = "done";
 
+					// Estimate output tokens from char count as fallback
+					// when the backend doesn't report usage in SSE lines.
+					if (usage.output_tokens === 0 && outputCounter.chars > 0) {
+						usage.output_tokens = Math.max(1, Math.round(outputCounter.chars / 4));
+					}
+
 					controller.enqueue(
 						encoder.encode(
 							'event: content_block_stop\ndata: {"type":"content_block_stop","index":0}\n\n',
@@ -479,7 +555,7 @@ function transformAnthropicStream(
 							`event: message_delta\ndata: ${JSON.stringify({
 								type: "message_delta",
 								delta: { stop_reason: "end_turn", stop_sequence: null },
-								usage: { output_tokens: 0 },
+								usage: { output_tokens: usage.output_tokens },
 							})}\n\n`,
 						),
 					);
@@ -558,6 +634,33 @@ function validateAnthropicRequest(body: unknown): ValidationError | null {
 
 // --- Standardized error helper -------------------------------------------------
 
+/** Cache-related response headers to forward from the backend. */
+const CACHE_HEADERS = new Set([
+	"x-cache",
+	"x-cache-status",
+	"cf-cache-status",
+	"x-vercel-cache",
+	"age",
+	"cache-control",
+]);
+
+/**
+ * Forward cache-related headers from the backend response to the client.
+ * These headers help clients know whether the response was cached
+ * (e.g., x-cache: HIT, cf-cache-status: HIT).
+ */
+function forwardCacheHeaders(
+	response: Response,
+	target: Record<string, string>,
+): void {
+	for (const name of CACHE_HEADERS) {
+		const val = response.headers.get(name);
+		if (val) {
+			target[name] = val;
+		}
+	}
+}
+
 function anthropicError(status: number, message: string, type: string): Response {
 	return new Response(
 		JSON.stringify({
@@ -644,10 +747,14 @@ export async function handleAnthropicMessages(
 	const { config, backendModel } = resolved;
 	const wantsStream = req.stream === true;
 
+	// Default anthropic-version to 2023-06-01 (required for prompt caching).
+	// The client can override via the anthropic-version header.
+	const version = anthropicVersion || "2023-06-01";
+
 	// Translate Anthropic -> backend, preserving cache_control directives
 	// and forwarding anthropic-version when available
 	const { body: backendBody, headers: extraHeaders } = anthropicToBackend(
-		req, config, backendModel, anthropicVersion,
+		req, config, backendModel, version,
 	);
 
 	const init: RequestInit & { proxy?: string } = {
@@ -701,28 +808,29 @@ export async function handleAnthropicMessages(
 	// -- For native Anthropic passthrough, relay the raw backend response -------
 	if (config.anthropicPassthrough) {
 		if (wantsStream) {
+			const headers: Record<string, string> = {
+				"Content-Type": "text/event-stream",
+				"Cache-Control": "no-cache",
+				Connection: "keep-alive",
+				"Access-Control-Allow-Origin": "*",
+				"X-Accel-Buffering": "no",
+			};
+			forwardCacheHeaders(response, headers);
 			return new Response(wrapAnthropicStreamMaybe(response.body!, sessionPool, sessionId), {
 				status: 200,
-				headers: {
+				headers,
-					"Content-Type": "text/event-stream",
-					"Cache-Control": "no-cache",
-					Connection: "keep-alive",
-					"Access-Control-Allow-Origin": "*",
-					"X-Accel-Buffering": "no",
-				},
 			});
 		}
 		const rawBody = await response.text();
 		if (sessionPool && sessionId) {
 			sessionPool.release(sessionId);
 		}
-		return new Response(rawBody, {
+		const headers: Record<string, string> = {
-			status: 200,
+			"Content-Type": "application/json",
-			headers: {
+			"Access-Control-Allow-Origin": "*",
-				"Content-Type": "application/json",
+		};
-				"Access-Control-Allow-Origin": "*",
+		forwardCacheHeaders(response, headers);
-			},
+		return new Response(rawBody, { status: 200, headers });
-		});
 	}
 
 	// -- Handle streaming (OpenAI-compatible backend) ---------------------------
@@ -733,16 +841,15 @@ export async function handleAnthropicMessages(
 			config,
 		);
 		transformed = wrapAnthropicStreamMaybe(transformed, sessionPool, sessionId);
-		return new Response(transformed, {
+		const headers: Record<string, string> = {
-			status: 200,
+			"Content-Type": "text/event-stream",
-			headers: {
+			"Cache-Control": "no-cache",
-				"Content-Type": "text/event-stream",
+			Connection: "keep-alive",
-				"Cache-Control": "no-cache",
+			"Access-Control-Allow-Origin": "*",
-				Connection: "keep-alive",
+			"X-Accel-Buffering": "no",
-				"Access-Control-Allow-Origin": "*",
+		};
-				"X-Accel-Buffering": "no",
+		forwardCacheHeaders(response, headers);
-			},
+		return new Response(transformed, { status: 200, headers });
-		});
 	}
 
 	// -- Handle non-streaming (OpenAI-compatible backend) -----------------------
@@ -751,6 +858,15 @@ export async function handleAnthropicMessages(
 		sessionPool.release(sessionId);
 	}
 
+	const buildBaseHeaders = (): Record<string, string> => {
+		const h: Record<string, string> = {
+			"Content-Type": "application/json",
+			"Access-Control-Allow-Origin": "*",
+		};
+		forwardCacheHeaders(response, h);
+		return h;
+	};
+
 	if (text.trimStart().startsWith("data: ")) {
 		const accumulated = accumulateSSEText(text);
 		if (accumulated) {
@@ -767,10 +883,7 @@ export async function handleAnthropicMessages(
 				}),
 				{
 					status: 200,
-					headers: {
+					headers: buildBaseHeaders(),
-						"Content-Type": "application/json",
-						"Access-Control-Allow-Origin": "*",
-					},
 				},
 			);
 		}
@@ -787,10 +900,7 @@ export async function handleAnthropicMessages(
 
 	return new Response(JSON.stringify(adapted), {
 		status: 200,
-		headers: {
+		headers: buildBaseHeaders(),
-			"Content-Type": "application/json",
-			"Access-Control-Allow-Origin": "*",
-		},
 	});
 }
 

src/lib/router.ts

@@ -494,15 +494,17 @@ export async function handleRequest(
 	if (url.pathname === "/v1/models" && req.method === "GET") {
 		const authErr = requireAuth(req, env);
 		if (authErr) return authErr;
+		const models = listModels().map((id) => ({
+			id,
+			object: "model",
+			created: Math.floor(Date.now() / 1000),
+			owned_by: "edge-proxy",
+			features: ["prompt_caching"],
+		}));
 		return new Response(
 			JSON.stringify({
 				object: "list",
-				data: listModels().map((id) => ({
+				data: models,
-					id,
-					object: "model",
-					created: Math.floor(Date.now() / 1000),
-					owned_by: "edge-proxy",
-				})),
 			}),
 			{
 				status: 200,

src/worker.ts

@@ -471,6 +471,7 @@ export default {
 				object: "model",
 				created: Math.floor(Date.now() / 1000),
 				owned_by: "proxy",
+				features: ["prompt_caching"],
 			}));
 			return new Response(
 				JSON.stringify({ object: "list", data: models }),