test: use claude-3-5-sonnet-20241022 for thinking blocks tests

Since thinking blocks are an Anthropic-specific feature, the tests should
use an Anthropic model instead of gpt-4o for accuracy and clarity.

🤖 Generated with [Claude Code](https://claude.ai/code)

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

Author: lanej

tests/anthropic-request.test.ts

@@ -127,13 +127,16 @@ describe("Anthropic to OpenAI translation logic", () => {
 
   test("should handle thinking blocks in assistant messages", () => {
     const anthropicPayload: AnthropicMessagesPayload = {
-      model: "gpt-4o",
+      model: "claude-3-5-sonnet-20241022",
       messages: [
         { role: "user", content: "What is 2+2?" },
         {
           role: "assistant",
           content: [
-            { type: "thinking", thinking: "Let me think about this simple math problem..." },
+            {
+              type: "thinking",
+              thinking: "Let me think about this simple math problem...",
+            },
             { type: "text", text: "2+2 equals 4." },
           ],
         },
@@ -142,36 +145,55 @@ describe("Anthropic to OpenAI translation logic", () => {
     }
     const openAIPayload = translateToOpenAI(anthropicPayload)
     expect(isValidChatCompletionRequest(openAIPayload)).toBe(true)
-    
+
     // Check that thinking content is combined with text content
-    const assistantMessage = openAIPayload.messages.find(m => m.role === "assistant")
-    expect(assistantMessage?.content).toContain("Let me think about this simple math problem...")
+    const assistantMessage = openAIPayload.messages.find(
+      (m) => m.role === "assistant",
+    )
+    expect(assistantMessage?.content).toContain(
+      "Let me think about this simple math problem...",
+    )
     expect(assistantMessage?.content).toContain("2+2 equals 4.")
   })
 
   test("should handle thinking blocks with tool calls", () => {
     const anthropicPayload: AnthropicMessagesPayload = {
-      model: "gpt-4o",
+      model: "claude-3-5-sonnet-20241022",
       messages: [
         { role: "user", content: "What's the weather?" },
         {
           role: "assistant",
           content: [
-            { type: "thinking", thinking: "I need to call the weather API to get current weather information." },
+            {
+              type: "thinking",
+              thinking:
+                "I need to call the weather API to get current weather information.",
+            },
             { type: "text", text: "I'll check the weather for you." },
-            { type: "tool_use", id: "call_123", name: "get_weather", input: { location: "New York" } },
+            {
+              type: "tool_use",
+              id: "call_123",
+              name: "get_weather",
+              input: { location: "New York" },
+            },
           ],
         },
       ],
       max_tokens: 100,
     }
     const openAIPayload = translateToOpenAI(anthropicPayload)
     expect(isValidChatCompletionRequest(openAIPayload)).toBe(true)
-    
+
     // Check that thinking content is included in the message content
-    const assistantMessage = openAIPayload.messages.find(m => m.role === "assistant")
-    expect(assistantMessage?.content).toContain("I need to call the weather API")
-    expect(assistantMessage?.content).toContain("I'll check the weather for you.")
+    const assistantMessage = openAIPayload.messages.find(
+      (m) => m.role === "assistant",
+    )
+    expect(assistantMessage?.content).toContain(
+      "I need to call the weather API",
+    )
+    expect(assistantMessage?.content).toContain(
+      "I'll check the weather for you.",
+    )
     expect(assistantMessage?.tool_calls).toHaveLength(1)
     expect(assistantMessage?.tool_calls?.[0].function.name).toBe("get_weather")
   })