fix: use MODEL_ROUTES directly for Anthropic proxy routing

Remove the ANTHROPIC_MODEL_MAP layer — /v1/messages now uses the
same model names as /v1/chat/completions (deepseek-v4-flash-free,
gpt-5.4-mini-no-login, deepseek/deepseek-v4-flash). This way users
send the original model name and it routes to the correct backend.

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>

api/relay.ts

@@ -28,7 +28,7 @@ import { checkBodySize } from "../src/middleware/body-limiter";
 import { createRateLimiter } from "../src/middleware/rate-limiter";
 import { logRelayEvent } from "../src/middleware/logger";
 import { handleChatCompletion, listModels } from "../src/lib/ai-proxy";
-import { handleAnthropicMessages, listAnthropicModels } from "../src/lib/anthropic-proxy";
+import { handleAnthropicMessages } from "../src/lib/anthropic-proxy";
 
 // ─── Configuration ──────────────────────────────────────────────────────────────
 
@@ -428,7 +428,7 @@ export default {
 
 		// Models list
 		if (url.pathname === "/v1/models" && req.method === "GET") {
-			const models = [...listModels(), ...listAnthropicModels()].map((id) => ({
+			const models = listModels().map((id) => ({
 				id,
 				object: "model",
 				created: Math.floor(Date.now() / 1000),

src/index.ts

@@ -29,7 +29,7 @@ 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 { handleAnthropicMessages, listAnthropicModels } from "./lib/anthropic-proxy";
+import { handleAnthropicMessages } from "./lib/anthropic-proxy";
 
 import type { Server, ServerWebSocket } from "bun";
 

src/lib/anthropic-proxy.ts

@@ -40,53 +40,20 @@ interface AnthropicResponse {
 	usage: { input_tokens: number; output_tokens: number };
 }
 
-// ─── Anthropic model → backend model mapping ──────────────────────────────────
+// ─── Model resolution ─────────────────────────────────────────────────────────
 
-/** User-facing Anthropic model name → { backendModel, backendConfig }. */
-const ANTHROPIC_MODEL_MAP: Record<
-	string,
-	{ backendModel: string; config: BackendConfig }
-> = {
-	"claude-sonnet-4-20250514": {
-		backendModel: "deepseek-v4-flash-free",
-		config: MODEL_ROUTES["deepseek-v4-flash-free"]!,
-	},
-	"claude-sonnet-4": {
-		backendModel: "deepseek-v4-flash-free",
-		config: MODEL_ROUTES["deepseek-v4-flash-free"]!,
-	},
-	"claude-3-haiku-20240307": {
-		backendModel: "gpt-5.4-mini-no-login",
-		config: MODEL_ROUTES["gpt-5.4-mini-no-login"]!,
-	},
-	"claude-3-haiku": {
-		backendModel: "gpt-5.4-mini-no-login",
-		config: MODEL_ROUTES["gpt-5.4-mini-no-login"]!,
-	},
-	"claude-opus-4-20250514": {
-		backendModel: "deepseek/deepseek-v4-flash",
-		config: MODEL_ROUTES["deepseek/deepseek-v4-flash"]!,
-	},
-	"claude-opus-4": {
-		backendModel: "deepseek/deepseek-v4-flash",
-		config: MODEL_ROUTES["deepseek/deepseek-v4-flash"]!,
-	},
-};
-
-// Also allow using raw backend model names directly
+/** Resolve a model name to a backend config (uses MODEL_ROUTES directly). */
 function resolveAnthropicModel(
 	model: string,
 ): { backendModel: string; config: BackendConfig } | undefined {
-	if (ANTHROPIC_MODEL_MAP[model]) return ANTHROPIC_MODEL_MAP[model];
-	// Fallback — try using the model name directly as a backend route
 	const direct = MODEL_ROUTES[model];
 	if (direct) return { backendModel: model, config: direct };
 	return undefined;
 }
 
-/** List all available Anthropic model names. */
+/** List all available model names (same as OpenAI endpoint). */
 export function listAnthropicModels(): string[] {
-	return Object.keys(ANTHROPIC_MODEL_MAP);
+	return Object.keys(MODEL_ROUTES);
 }
 
 // ─── Translation: Anthropic → Backend (OpenAI-format) ───────────────────────
@@ -126,7 +93,7 @@ function anthropicToBackend(
 	}
 
 	const base: BackendBody = {
-		model: anthReq.model,
+		model: backendModel,
 		messages,
 		max_tokens: anthReq.max_tokens,
 		temperature: anthReq.temperature,
@@ -144,7 +111,7 @@ function anthropicToBackend(
 	// If backend has a custom adaptRequest, use it
 	if (config.adaptRequest) {
 		return config.adaptRequest({
-			model: anthReq.model,
+			model: backendModel,
 			messages,
 			temperature: anthReq.temperature,
 			max_tokens: anthReq.max_tokens,

src/worker.ts

@@ -27,7 +27,7 @@ import { checkBodySize } from "./middleware/body-limiter";
 import { createRateLimiter } from "./middleware/rate-limiter";
 import { logRelayEvent } from "./middleware/logger";
 import { handleChatCompletion, listModels } from "./lib/ai-proxy";
-import { handleAnthropicMessages, listAnthropicModels } from "./lib/anthropic-proxy";
+import { handleAnthropicMessages } from "./lib/anthropic-proxy";
 
 // ─── Types ───────────────────────────────────────────────────────────────────────
 
@@ -424,7 +424,7 @@ export default {
 
 		// Models list
 		if (url.pathname === "/v1/models" && req.method === "GET") {
-			const models = [...listModels(), ...listAnthropicModels()].map((id) => ({
+			const models = listModels().map((id) => ({
 				id,
 				object: "model",
 				created: Math.floor(Date.now() / 1000),