fix(__init__.py): add gemini models to all model list

Fixes https://github.com/BerriAI/litellm/issues/4240

litellm/__init__.py

@@ -338,6 +338,7 @@ bedrock_models: List = []
 deepinfra_models: List = []
 perplexity_models: List = []
 watsonx_models: List = []
+gemini_models: List = []
 for key, value in model_cost.items():
     if value.get("litellm_provider") == "openai":
         open_ai_chat_completion_models.append(key)
@@ -384,7 +385,8 @@ for key, value in model_cost.items():
         perplexity_models.append(key)
     elif value.get("litellm_provider") == "watsonx":
         watsonx_models.append(key)
-
+    elif value.get("litellm_provider") == "gemini":
+        gemini_models.append(key)
 # known openai compatible endpoints - we'll eventually move this list to the model_prices_and_context_window.json dictionary
 openai_compatible_endpoints: List = [
     "api.perplexity.ai",
@@ -591,6 +593,7 @@ model_list = (
     + maritalk_models
     + vertex_language_models
     + watsonx_models
+    + gemini_models
 )
 
 provider_list: List = [
@@ -663,6 +666,7 @@ models_by_provider: dict = {
     "perplexity": perplexity_models,
     "maritalk": maritalk_models,
     "watsonx": watsonx_models,
+    "gemini": gemini_models,
 }
 
 # mapping for those models which have larger equivalents

litellm/tests/test_utils.py

@@ -1,9 +1,9 @@
+import copy
 import sys
+from datetime import datetime
 from unittest import mock
 
 from dotenv import load_dotenv
-import copy
-from datetime import datetime
 
 load_dotenv()
 import os
@@ -12,25 +12,26 @@ sys.path.insert(
     0, os.path.abspath("../..")
 )  # Adds the parent directory to the system path
 import pytest
+
 import litellm
-from litellm.utils import (
-    trim_messages,
-    get_token_count,
-    get_valid_models,
-    check_valid_key,
-    validate_environment,
-    function_to_dict,
-    token_counter,
-    create_pretrained_tokenizer,
-    create_tokenizer,
-    get_max_tokens,
-    get_supported_openai_params,
-)
 from litellm.proxy.utils import (
     _duration_in_seconds,
     _extract_from_regex,
     get_last_day_of_month,
 )
+from litellm.utils import (
+    check_valid_key,
+    create_pretrained_tokenizer,
+    create_tokenizer,
+    function_to_dict,
+    get_max_tokens,
+    get_supported_openai_params,
+    get_token_count,
+    get_valid_models,
+    token_counter,
+    trim_messages,
+    validate_environment,
+)
 
 # Assuming your trim_messages, shorten_message_to_fit_limit, and get_token_count functions are all in a module named 'message_utils'
 
@@ -216,6 +217,16 @@ def test_get_valid_models():
     # reset replicate env key
     os.environ = old_environ
 
+    # GEMINI
+    expected_models = litellm.gemini_models
+    old_environ = os.environ
+    os.environ = {"GEMINI_API_KEY": "temp"}  # mock set only openai key in environ
+
+    valid_models = get_valid_models()
+
+    print(valid_models)
+    assert valid_models == expected_models
+
 
 # test_get_valid_models()
 
@@ -409,10 +420,10 @@ def test_redact_msgs_from_logs():
 
     On the proxy some users were seeing the redaction impact client side responses
     """
+    from litellm.litellm_core_utils.litellm_logging import Logging
     from litellm.litellm_core_utils.redact_messages import (
         redact_message_input_output_from_logging,
     )
-    from litellm.litellm_core_utils.litellm_logging import Logging
 
     litellm.turn_off_message_logging = True