Add: chat completion transformation for minmax

litellm/__init__.py

@@ -1482,6 +1482,7 @@ if TYPE_CHECKING:
     from .llms.bytez.chat.transformation import BytezChatConfig as BytezChatConfig
     from .llms.compactifai.chat.transformation import CompactifAIChatConfig as CompactifAIChatConfig
     from .llms.empower.chat.transformation import EmpowerChatConfig as EmpowerChatConfig
+    from .llms.minimax.chat.transformation import MinimaxChatConfig as MinimaxChatConfig
     from .llms.aiohttp_openai.chat.transformation import AiohttpOpenAIChatConfig as AiohttpOpenAIChatConfig
     from .llms.huggingface.chat.transformation import HuggingFaceChatConfig as HuggingFaceChatConfig
     from .llms.huggingface.embedding.transformation import HuggingFaceEmbeddingConfig as HuggingFaceEmbeddingConfig

litellm/_lazy_imports.py

@@ -165,6 +165,7 @@ LLM_CONFIG_NAMES = (
     "BytezChatConfig",
     "CompactifAIChatConfig",
     "EmpowerChatConfig",
+    "MinimaxChatConfig",
     "AiohttpOpenAIChatConfig",
     "HuggingFaceChatConfig",
     "HuggingFaceEmbeddingConfig",
@@ -750,6 +751,14 @@ def _lazy_import_llm_configs(name: str) -> Any:  # noqa: PLR0915
         _globals["EmpowerChatConfig"] = _EmpowerChatConfig
         return _EmpowerChatConfig
 
+    if name == "MinimaxChatConfig":
+        from .llms.minimax.chat.transformation import (
+            MinimaxChatConfig as _MinimaxChatConfig,
+        )
+
+        _globals["MinimaxChatConfig"] = _MinimaxChatConfig
+        return _MinimaxChatConfig
+
     if name == "AiohttpOpenAIChatConfig":
         from .llms.aiohttp_openai.chat.transformation import (
             AiohttpOpenAIChatConfig as _AiohttpOpenAIChatConfig,

litellm/litellm_core_utils/get_llm_provider_logic.py

@@ -270,6 +270,9 @@ def get_llm_provider(  # noqa: PLR0915
                     elif endpoint == "api.minimax.io/anthropic" or endpoint == "api.minimaxi.com/anthropic":
                         custom_llm_provider = "minimax"
                         dynamic_api_key = get_secret_str("MINIMAX_API_KEY")
+                    elif endpoint == "api.minimax.io/v1" or endpoint == "api.minimaxi.com/v1":
+                        custom_llm_provider = "minimax"
+                        dynamic_api_key = get_secret_str("MINIMAX_API_KEY")
                     elif endpoint == "platform.publicai.co/v1":
                         custom_llm_provider = "publicai"
                         dynamic_api_key = get_secret_str("PUBLICAI_API_KEY")

litellm/main.py

@@ -68,7 +68,6 @@ from litellm.constants import (
     DEFAULT_MOCK_RESPONSE_PROMPT_TOKEN_COUNT,
 )
 from litellm.exceptions import LiteLLMUnknownProvider
-from litellm.llms.openai_like.json_loader import JSONProviderRegistry
 from litellm.integrations.custom_logger import CustomLogger
 from litellm.litellm_core_utils.asyncify import run_async_function
 from litellm.litellm_core_utils.audio_utils.utils import (
@@ -98,6 +97,7 @@ from litellm.llms.base_llm.base_model_iterator import (
 from litellm.llms.bedrock.common_utils import BedrockModelInfo
 from litellm.llms.cohere.common_utils import CohereModelInfo
 from litellm.llms.custom_httpx.http_handler import AsyncHTTPHandler, HTTPHandler
+from litellm.llms.openai_like.json_loader import JSONProviderRegistry
 from litellm.llms.vertex_ai.common_utils import (
     VertexAIModelRoute,
     get_vertex_ai_model_route,
@@ -2247,6 +2247,42 @@ def completion(  # type: ignore # noqa: PLR0915
             logging.post_call(
                 input=messages, api_key=api_key, original_response=response
             )
+        elif custom_llm_provider == "minimax":
+            api_key = (
+                api_key
+                or get_secret_str("MINIMAX_API_KEY")
+                or litellm.api_key
+            )
+
+            api_base = (
+                api_base
+                or litellm.api_base
+                or get_secret_str("MINIMAX_API_BASE")
+                or "https://api.minimax.io/v1"
+            )
+
+            response = base_llm_http_handler.completion(
+                model=model,
+                messages=messages,
+                api_base=api_base,
+                custom_llm_provider=custom_llm_provider,
+                model_response=model_response,
+                encoding=_get_encoding(),
+                logging_obj=logging,
+                optional_params=optional_params,
+                timeout=timeout,
+                litellm_params=litellm_params,
+                shared_session=shared_session,
+                acompletion=acompletion,
+                stream=stream,
+                api_key=api_key,
+                headers=headers,
+                client=client,
+                provider_config=provider_config,
+            )
+            logging.post_call(
+                input=messages, api_key=api_key, original_response=response
+            )
         elif (
             model in litellm.open_ai_chat_completion_models
             or custom_llm_provider == "custom_openai"

litellm/utils.py

@@ -7224,6 +7224,8 @@ class ProviderConfigManager:
             return litellm.IBMWatsonXAIConfig()
         elif litellm.LlmProviders.EMPOWER == provider:
             return litellm.EmpowerChatConfig()
+        elif litellm.LlmProviders.MINIMAX == provider:            
+            return litellm.MinimaxChatConfig()
         elif litellm.LlmProviders.GITHUB == provider:
             return litellm.GithubChatConfig()
         elif litellm.LlmProviders.COMPACTIFAI == provider: