Rename to v1_models and use with openai as well

server/lib/aiCapabilities.ts

@@ -135,8 +135,8 @@ export const AI_CAPABILITY_DEFS: Record<AiCapability, AiCapabilityDefinition> =
                 joinUpstreamUrl(base, pathFromRequest(req)),
             isStreaming: isBodyOrSseStreaming
         },
-        anthropic_models: {
-            id: "anthropic_models",
+        v1_models: {
+            id: "v1_models",
             protocolFamily: "anthropic",
             routes: [
                 { method: "GET", path: "/v1/models" },

server/lib/aiMessageNormalization.ts

@@ -472,7 +472,7 @@ const REQUEST_NORMALIZERS: Record<
     openai_responses: normalizeOpenAiResponsesRequest,
     anthropic_messages: normalizeAnthropicRequest,
     // Model discovery carries no transcript to normalize.
-    anthropic_models: () => null,
+    v1_models: () => null,
     gemini_generate_content: normalizeGeminiRequest,
     google_generate_content: normalizeGeminiRequest,
     google_raw_predict: normalizeBestEffortRequest,
@@ -487,7 +487,7 @@ const RESPONSE_NORMALIZERS: Record<
     openai_chat: normalizeOpenAiChatResponse,
     openai_responses: normalizeOpenAiResponsesResponse,
     anthropic_messages: normalizeAnthropicResponse,
-    anthropic_models: () => null,
+    v1_models: () => null,
     gemini_generate_content: normalizeGeminiResponse,
     google_generate_content: normalizeGeminiResponse,
     google_raw_predict: normalizeGoogleRawPredictResponse,

server/lib/aiUsageExtraction.ts

@@ -336,7 +336,7 @@ const EXTRACTORS: Record<
     openai_responses: extractOpenAiResponses,
     anthropic_messages: extractAnthropicMessages,
     // Model discovery never runs a model, so there are no tokens to bill.
-    anthropic_models: () => null,
+    v1_models: () => null,
     gemini_generate_content: extractGoogleGenerateContent,
     google_generate_content: extractGoogleGenerateContent,
     // rawPredict is a passthrough to whatever the underlying publisher