fix(vertex-ai): keep TTS metadata compatible with the cost map guard

ci_cd/generate_model_prices_schema.py

@@ -288,7 +288,6 @@ def string_key_schemas(modes: tuple) -> dict[str, JsonSchema]:
             "type": "string",
             "enum": ["lyria_predict", "lyria_interactions"],
         },
-        "health_check_voice": STRING,
     }
 
 
@@ -376,7 +375,9 @@ def render(schema: JsonSchema) -> str:
 
 
 def validation_errors(prices: dict, schema: JsonSchema) -> tuple:
-    validator = jsonschema.Draft202012Validator(schema, format_checker=jsonschema.Draft202012Validator.FORMAT_CHECKER)
+    validator = jsonschema.Draft202012Validator(
+        schema, format_checker=jsonschema.Draft202012Validator.FORMAT_CHECKER
+    )
     return tuple(
         f"{'.'.join(str(part) for part in error.absolute_path)}: {error.message}"
         for error in validator.iter_errors(prices)

litellm/model_prices_and_context_window_backup.json

@@ -47687,7 +47687,6 @@
         "output_cost_per_audio_token": 2e-05,
         "output_cost_per_token": 2e-05,
         "source": "https://cloud.google.com/text-to-speech/pricing",
-        "health_check_voice": "Kore",
         "max_input_tokens": 8192,
         "max_output_tokens": 16384,
         "max_tokens": 16384,
@@ -54492,7 +54491,6 @@
         "supports_web_search": false
     },
     "gemini-3.1-flash-tts-preview": {
-        "health_check_voice": "Kore",
         "input_cost_per_token": 1e-06,
         "litellm_provider": "gemini",
         "max_input_tokens": 8192,

model_prices_and_context_window.json

@@ -47687,7 +47687,6 @@
         "output_cost_per_audio_token": 2e-05,
         "output_cost_per_token": 2e-05,
         "source": "https://cloud.google.com/text-to-speech/pricing",
-        "health_check_voice": "Kore",
         "max_input_tokens": 8192,
         "max_output_tokens": 16384,
         "max_tokens": 16384,
@@ -54492,7 +54491,6 @@
         "supports_web_search": false
     },
     "gemini-3.1-flash-tts-preview": {
-        "health_check_voice": "Kore",
         "input_cost_per_token": 1e-06,
         "litellm_provider": "gemini",
         "max_input_tokens": 8192,

model_prices_and_context_window.schema.json

@@ -262,9 +262,6 @@
             "minimum": 0
           }
         },
-        "health_check_voice": {
-          "type": "string"
-        },
         "input_cost_per_audio_per_second": {
           "type": "number",
           "minimum": 0

tests/test_litellm/test_gemini_3_1_flash_tts_metadata.py

@@ -45,7 +45,6 @@ def test_gemini_3_1_flash_tts_model_metadata(model, provider):
         assert info["supports_audio_output"] is True
         assert info["supports_function_calling"] is False
         assert info["supports_prompt_caching"] is False
-        assert info["health_check_voice"] == "Kore"
 
 
 def test_gemini_3_1_flash_tts_backup_matches_main():

tests/test_litellm/test_utils.py

@@ -817,7 +817,6 @@ def test_aaamodel_prices_and_context_window_json_is_valid():
                 "ocr_cost_per_page_batches": {"type": "number"},
                 "ocr_cost_per_credit": {"type": "number"},
                 "code_interpreter_cost_per_session": {"type": "number"},
-                "health_check_voice": {"type": "string"},
                 "inference_geo": {"type": "string"},
                 "litellm_provider": {"type": "string"},
                 "max_input_tokens": {"type": "number"},