feat: add MiniMax as native LLM provider with M2.7 default

README.md

@@ -551,6 +551,14 @@ This example demonstrates how to:
 
 CrewAI supports using various LLMs through a variety of connection options. By default your agents will use the OpenAI API when querying the model. However, there are several other ways to allow your agents to connect to models. For example, you can configure your agents to use a local model via the Ollama tool.
 
+CrewAI includes native support for [MiniMax](https://www.minimax.io) models. Set the `MINIMAX_API_KEY` environment variable and use `MiniMax-M2.7` (latest flagship) or any other available model as the model name:
+
+```python
+from crewai import LLM
+
+llm = LLM(model="MiniMax-M2.7")
+```
+
 Please refer to the [Connect CrewAI to LLMs](https://docs.crewai.com/how-to/LLM-Connections/) page for details on configuring your agents' connections to models.
 
 ## How CrewAI Compares

lib/crewai/src/crewai/cli/constants.py

@@ -112,6 +112,12 @@
             "key_name": "SAMBANOVA_API_KEY",
         }
     ],
+    "minimax": [
+        {
+            "prompt": "Enter your MiniMax API key (press Enter to skip)",
+            "key_name": "MINIMAX_API_KEY",
+        }
+    ],
 }
 
 
@@ -128,6 +134,7 @@
     "azure",
     "cerebras",
     "sambanova",
+    "minimax",
 ]
 
 MODELS: dict[str, list[str]] = {
@@ -324,6 +331,12 @@
         "sambanova/Meta-Llama-3.2-3B-Instruct",
         "sambanova/Meta-Llama-3.2-1B-Instruct",
     ],
+    "minimax": [
+        "minimax/MiniMax-M2.7",
+        "minimax/MiniMax-M2.7-highspeed",
+        "minimax/MiniMax-M2.5",
+        "minimax/MiniMax-M2.5-highspeed",
+    ],
 }
 
 DEFAULT_LLM_MODEL = "gpt-4.1-mini"

lib/crewai/src/crewai/llm.py

@@ -43,6 +43,7 @@
     AZURE_MODELS,
     BEDROCK_MODELS,
     GEMINI_MODELS,
+    MINIMAX_MODELS,
     OPENAI_MODELS,
 )
 from crewai.utilities import InternalInstructor
@@ -297,6 +298,11 @@ def writable(self) -> bool:
     "ai21.j2-ultra-v1": 8191,
     "ai21.jamba-instruct-v1:0": 256000,
     "mistral.mistral-7b-instruct-v0:2": 32000,
+    # minimax
+    "MiniMax-M2.7": 204800,
+    "MiniMax-M2.7-highspeed": 204800,
+    "MiniMax-M2.5": 204800,
+    "MiniMax-M2.5-highspeed": 204800,
     "mistral.mixtral-8x7b-instruct-v0:1": 32000,
     # mistral
     "mistral-tiny": 32768,
@@ -325,6 +331,7 @@ def writable(self) -> bool:
     "gemini",
     "bedrock",
     "aws",
+    "minimax",
 ]
 
 
@@ -384,6 +391,7 @@ def __new__(cls, model: str, is_litellm: bool = False, **kwargs: Any) -> LLM:
                 "gemini": "gemini",
                 "bedrock": "bedrock",
                 "aws": "bedrock",
+                "minimax": "minimax",
             }
 
             canonical_provider = provider_mapping.get(prefix.lower())
@@ -483,6 +491,9 @@ def _matches_provider_pattern(cls, model: str, provider: str) -> bool:
                 for prefix in ["gpt-", "gpt-35-", "o1", "o3", "o4", "azure-"]
             )
 
+        if provider == "minimax":
+            return model_lower.startswith("minimax-")
+
         return False
 
     @classmethod
@@ -518,6 +529,9 @@ def _validate_model_in_constants(cls, model: str, provider: str) -> bool:
             # azure does not provide a list of available models, determine a better way to handle this
             return True
 
+        if provider == "minimax" and model in MINIMAX_MODELS:
+            return True
+
         # Fallback to pattern matching for models not in constants
         return cls._matches_provider_pattern(model, provider)
 
@@ -550,6 +564,9 @@ def _infer_provider_from_model(cls, model: str) -> str:
         if model in AZURE_MODELS:
             return "azure"
 
+        if model in MINIMAX_MODELS:
+            return "minimax"
+
         return "openai"
 
     @classmethod
@@ -582,6 +599,11 @@ def _get_native_provider(cls, provider: str) -> type | None:
 
             return BedrockCompletion
 
+        if provider == "minimax":
+            from crewai.llms.providers.minimax.completion import MiniMaxCompletion
+
+            return MiniMaxCompletion
+
         return None
 
     def __init__(

lib/crewai/src/crewai/llms/constants.py

@@ -238,6 +238,20 @@
     "claude-3-haiku-20240307",
 ]
 
+MiniMaxModels: TypeAlias = Literal[
+    "MiniMax-M2.7",
+    "MiniMax-M2.7-highspeed",
+    "MiniMax-M2.5",
+    "MiniMax-M2.5-highspeed",
+]
+MINIMAX_MODELS: list[MiniMaxModels] = [
+    "MiniMax-M2.7",
+    "MiniMax-M2.7-highspeed",
+    "MiniMax-M2.5",
+    "MiniMax-M2.5-highspeed",
+]
+
+
 GeminiModels: TypeAlias = Literal[
     "gemini-3-pro-preview",
     "gemini-2.5-pro",