feat: upgrade MiniMax default model to M2.7 (#2993)

packages/dbgpt-core/src/dbgpt/model/proxy/llms/minimax.py

@@ -24,7 +24,7 @@ if TYPE_CHECKING:
 
     ClientType = Union[AsyncAzureOpenAI, AsyncOpenAI]
 
-_DEFAULT_MODEL = "MiniMax-M2.5"
+_DEFAULT_MODEL = "MiniMax-M2.7"
 
 
 @auto_register_resource(
@@ -160,6 +160,28 @@ class MiniMaxLLMClient(OpenAILLMClient):
 register_proxy_model_adapter(
     MiniMaxLLMClient,
     supported_models=[
+        ModelMetadata(
+            model="MiniMax-M2.7",
+            context_length=204800,
+            max_output_length=192000,
+            description=(
+                "MiniMax-M2.7 by MiniMax. Latest flagship model with enhanced "
+                "reasoning and coding."
+            ),
+            link="https://platform.minimax.io/docs/api-reference/text-openai-api",
+            function_calling=True,
+        ),
+        ModelMetadata(
+            model="MiniMax-M2.7-highspeed",
+            context_length=204800,
+            max_output_length=192000,
+            description=(
+                "MiniMax-M2.7-highspeed by MiniMax. High-speed version of M2.7 "
+                "for low-latency scenarios."
+            ),
+            link="https://platform.minimax.io/docs/api-reference/text-openai-api",
+            function_calling=True,
+        ),
         ModelMetadata(
             model="MiniMax-M2.5",
             context_length=204800,

packages/dbgpt-core/src/dbgpt/model/proxy/tests/test_minimax.py

@@ -0,0 +1,95 @@
+"""Tests for MiniMax proxy LLM client."""
+
+import os
+from unittest.mock import patch
+
+import pytest
+
+from dbgpt.model.proxy.llms.minimax import (
+    _DEFAULT_MODEL,
+    MiniMaxDeployModelParameters,
+    MiniMaxLLMClient,
+)
+
+
+class TestMiniMaxDefaults:
+    """Test MiniMax default model configuration."""
+
+    def test_default_model_is_m27(self):
+        assert _DEFAULT_MODEL == "MiniMax-M2.7"
+
+    @patch.dict(os.environ, {"MINIMAX_API_KEY": "test-key"})
+    def test_client_default_model(self):
+        client = MiniMaxLLMClient()
+        assert client.default_model == "MiniMax-M2.7"
+
+    @patch.dict(os.environ, {"MINIMAX_API_KEY": "test-key"})
+    def test_client_custom_model(self):
+        client = MiniMaxLLMClient(model="MiniMax-M2.5")
+        assert client.default_model == "MiniMax-M2.5"
+
+    def test_deploy_params_provider(self):
+        assert MiniMaxDeployModelParameters.provider == "proxy/minimax"
+
+
+class TestMiniMaxModelList:
+    """Test MiniMax model registration."""
+
+    def test_model_list_contains_m27(self):
+        # Import triggers registration
+        from dbgpt.model.adapter.base import get_model_adapter
+        from dbgpt.model.proxy.llms.minimax import MiniMaxLLMClient  # noqa: F811
+
+        adapter = get_model_adapter("proxy/minimax", "MiniMax-M2.7")
+        assert adapter is not None
+
+    def test_model_list_contains_m27_highspeed(self):
+        from dbgpt.model.adapter.base import get_model_adapter
+        from dbgpt.model.proxy.llms.minimax import MiniMaxLLMClient  # noqa: F811
+
+        adapter = get_model_adapter("proxy/minimax", "MiniMax-M2.7-highspeed")
+        assert adapter is not None
+
+    def test_model_list_contains_m25(self):
+        from dbgpt.model.adapter.base import get_model_adapter
+        from dbgpt.model.proxy.llms.minimax import MiniMaxLLMClient  # noqa: F811
+
+        adapter = get_model_adapter("proxy/minimax", "MiniMax-M2.5")
+        assert adapter is not None
+
+    def test_model_list_contains_m25_highspeed(self):
+        from dbgpt.model.adapter.base import get_model_adapter
+        from dbgpt.model.proxy.llms.minimax import MiniMaxLLMClient  # noqa: F811
+
+        adapter = get_model_adapter("proxy/minimax", "MiniMax-M2.5-highspeed")
+        assert adapter is not None
+
+
+class TestMiniMaxTemperatureClamping:
+    """Test temperature clamping behavior."""
+
+    @patch.dict(os.environ, {"MINIMAX_API_KEY": "test-key"})
+    def test_valid_temperature_passthrough(self):
+        from dbgpt.core import ModelMessage, ModelRequest
+
+        client = MiniMaxLLMClient()
+        request = ModelRequest(
+            model="MiniMax-M2.7",
+            messages=[ModelMessage(role="user", content="hi")],
+            temperature=0.5,
+        )
+        payload = client._build_request(request)
+        assert payload["temperature"] == 0.5
+
+    @patch.dict(os.environ, {"MINIMAX_API_KEY": "test-key"})
+    def test_high_temperature_clamped(self):
+        from dbgpt.core import ModelMessage, ModelRequest
+
+        client = MiniMaxLLMClient()
+        request = ModelRequest(
+            model="MiniMax-M2.7",
+            messages=[ModelMessage(role="user", content="hi")],
+            temperature=2.0,
+        )
+        payload = client._build_request(request)
+        assert payload["temperature"] == 1.0

web/utils/constants.ts

@@ -38,7 +38,7 @@ export const MODEL_ICON_INFO: Record<string, ModelIconInfo> = {
   minimax: {
     label: 'MiniMax',
     icon: '/models/minimax.png',
-    patterns: ['minimax', 'm2.5', 'm2.1', 'm2'],
+    patterns: ['minimax', 'm2.7', 'm2.5', 'm2.1', 'm2'],
   },
   doubao: {
     label: 'Doubao',