fix: remove test files

no_cache_hits.py

@@ -1,48 +0,0 @@
-from locust import HttpUser, between, task
-
-
-class MyUser(HttpUser):
-    """
-    Minimal Locust user for repeatedly hitting `/v1/audio/speech`.
-    The goal is to measure server-side performance, so we avoid any extra work
-    (file writes, random generation, manual timing, custom event hooks, etc.)
-    that could inflate client-side latency.
-    """
-
-    wait_time = between(0.5, 1)
-    host = "http://0.0.0.0:8090"
-
-    def on_start(self):
-        self.api_key = "sk-1234"
-        self.model_name = "fake-openai-speech"
-        self.headers = {
-            "Authorization": f"Bearer {self.api_key}",
-            "Content-Type": "application/json",
-        }
-        self.prompt_counter = 0
-
-    @task
-    def audio_speech_request(self):
-        self.prompt_counter += 1
-        # Ensure prompts differ slightly so the backend can't reuse cached audio.
-        prompt = (
-            "Generate a short spoken status update mentioning counter "
-            f"{self.prompt_counter}."
-        )
-
-        response = self.client.post(
-            "v1/audio/speech",
-            json={
-                "model": self.model_name,
-                "input": prompt,
-                "voice": "alloy",
-                "format": "mp3",
-            },
-            headers=self.headers,
-            name="audio_speech",
-        )
-
-        if response.status_code != 200:
-            # log the errors in error.txt
-            with open("error.txt", "a") as error_log:
-                error_log.write(response.text + "\n")

speech_config.yaml

@@ -1,9 +0,0 @@
-model_list:
-  - model_name: fake-openai-speech
-    litellm_params:
-      model: openai/gpt-4o-mini-tts
-      api_base: http://0.0.0.0:8090/
-      api_key: sk-1234
-    model_info:
-      mode: audio_speech
-