From 8534a7c7b49bf7b036d25333ec1d6d9af2095c5c Mon Sep 17 00:00:00 2001
From: Himanjan Pati <himanjan.pati@outlook.com>
Date: Fri, 29 May 2026 22:57:57 +0000
Subject: [PATCH] refactor: derive model_list from models_by_provider to
 prevent drift

---
 litellm/__init__.py                     | 111 +-----------------------
 tests/litellm_utils_tests/test_utils.py |  26 +-----
 2 files changed, 6 insertions(+), 131 deletions(-)

diff --git a/litellm/__init__.py b/litellm/__init__.py
index 58e5d1ce4e8..54a8c2fa44c 100644
--- a/litellm/__init__.py
+++ b/litellm/__init__.py
@@ -951,114 +951,6 @@ ollama_models = ["llama2"]
 
 maritalk_models = ["maritalk"]
 
-model_list = list(
-    open_ai_chat_completion_models
-    | open_ai_text_completion_models
-    | cohere_models
-    | cohere_chat_models
-    | anthropic_models
-    | set(replicate_models)
-    | openrouter_models
-    | datarobot_models
-    | set(huggingface_models)
-    | vertex_chat_models
-    | vertex_text_models
-    | ai21_models
-    | ai21_chat_models
-    | set(together_ai_models)
-    | set(baseten_models)
-    | aleph_alpha_models
-    | nlp_cloud_models
-    | set(ollama_models)
-    | bedrock_models
-    | deepinfra_models
-    | perplexity_models
-    | set(maritalk_models)
-    | runwayml_models
-    | vertex_language_models
-    | watsonx_models
-    | gemini_models
-    | text_completion_codestral_models
-    | xai_models
-    | zai_models
-    | fal_ai_models
-    | deepseek_models
-    | azure_ai_models
-    | voyage_models
-    | infinity_models
-    | databricks_models
-    | cloudflare_models
-    | codestral_models
-    | friendliai_models
-    | palm_models
-    | groq_models
-    | azure_models
-    | azure_anthropic_models
-    | anyscale_models
-    | cerebras_models
-    | galadriel_models
-    | nvidia_nim_models
-    | nvidia_riva_models
-    | sambanova_models
-    | azure_text_models
-    | novita_models
-    | assemblyai_models
-    | jina_ai_models
-    | snowflake_models
-    | gradient_ai_models
-    | llama_models
-    | featherless_ai_models
-    | nscale_models
-    | deepgram_models
-    | elevenlabs_models
-    | dashscope_models
-    | moonshot_models
-    | publicai_models
-    | v0_models
-    | morph_models
-    | lambda_ai_models
-    | black_forest_labs_models
-    | recraft_models
-    | cometapi_models
-    | oci_models
-    | heroku_models
-    | vercel_ai_gateway_models
-    | volcengine_models
-    | wandb_models
-    | ovhcloud_models
-    | lemonade_models
-    | docker_model_runner_models
-    | reducto_models
-    | bedrock_mantle_models
-    | set(clarifai_models)
-    | set(petals_models)
-    | bedrock_converse_models
-    | vertex_anthropic_models
-    | vertex_vision_models
-    | vertex_deepseek_models
-    | vertex_minimax_models
-    | vertex_moonshot_models
-    | vertex_zai_models
-    | fireworks_ai_models
-    | fireworks_ai_embedding_models
-    | mistral_chat_models
-    | sambanova_embedding_models
-    | nebius_models
-    | nebius_embedding_models
-    | aiml_models
-    | hyperbolic_models
-    | amazon_nova_models
-    | stability_models
-    | github_copilot_models
-    | chatgpt_models
-    | minimax_models
-    | aws_polly_models
-    | gigachat_models
-    | llamagate_models
-    | ovhcloud_embedding_models
-)
-
-model_list_set = set(model_list)
 
 # provider_list is lazy-loaded via __getattr__ to avoid importing LlmProviders at import time
 
@@ -1165,6 +1057,9 @@ models_by_provider: dict = {
     "docker_model_runner": docker_model_runner_models,
 }
 
+model_list = list({m for v in models_by_provider.values() for m in v})
+model_list_set = set(model_list)
+
 # mapping for those models which have larger equivalents
 longer_context_model_fallback_dict: dict = {
     # openai chat completion models
diff --git a/tests/litellm_utils_tests/test_utils.py b/tests/litellm_utils_tests/test_utils.py
index 0788b873590..8fa04e16d49 100644
--- a/tests/litellm_utils_tests/test_utils.py
+++ b/tests/litellm_utils_tests/test_utils.py
@@ -2519,26 +2519,6 @@ def test_get_base_model_from_metadata():
 
 
 def test_model_list_models_by_provider_in_sync():
-    model_list_set = set(litellm.model_list)
-    all_provider_models: set = set()
-
-    missing_from_model_list = []
-    for provider, models in litellm.models_by_provider.items():
-        model_set = set(models) if isinstance(models, list) else models
-        all_provider_models |= model_set
-        for model in model_set:
-            if model not in model_list_set:
-                missing_from_model_list.append(f"{provider}: {model}")
-
-    assert not missing_from_model_list, (
-        f"{len(missing_from_model_list)} models in models_by_provider are missing from model_list:\n"
-        + "\n".join(missing_from_model_list[:20])
-    )
-
-    missing_from_providers = [
-        m for m in model_list_set if m not in all_provider_models
-    ]
-    assert not missing_from_providers, (
-        f"{len(missing_from_providers)} models in model_list are missing from models_by_provider:\n"
-        + "\n".join(missing_from_providers[:20])
-    )
+    assert set(litellm.model_list) == {
+        m for v in litellm.models_by_provider.values() for m in v
+    }