From 1432266694d48210ef76f1cfd6e3d92cbb70ad5a Mon Sep 17 00:00:00 2001 From: PR Bot Date: Wed, 18 Mar 2026 16:33:04 +0800 Subject: [PATCH] feat: upgrade MiniMax default model to M2.7 - Add MiniMax-M2.7 and MiniMax-M2.7-highspeed to supported models list - Update docstring to list M2.7 models before M2.5 - Update README/README_CHS model references - Add unit tests for M2.7 and M2.7-highspeed models - Keep all previous models as alternatives --- README.md | 2 +- README_CHS.md | 2 +- sources/llm_provider.py | 6 ++++-- tests/test_minimax_provider.py | 36 ++++++++++++++++++++++++++++++++++ 4 files changed, 42 insertions(+), 4 deletions(-) diff --git a/README.md b/README.md index aa874a5..751fbd9 100644 --- a/README.md +++ b/README.md @@ -240,7 +240,7 @@ provider_server_address = # Typically ignored or can be left blank when is_local | Hugging Face | `huggingface` | No | Use models from Hugging Face Inference API. | [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens) | | TogetherAI | `togetherAI` | No | Use various open-source models via TogetherAI API.| [api.together.ai/settings/api-keys](https://api.together.ai/settings/api-keys) | | OpenRouter | `openrouter` | No | Use OpenRouter Models| [https://openrouter.ai/](https://openrouter.ai/) | -| MiniMax | `minimax` | No | Use MiniMax M2.5 series models (e.g., MiniMax-M2.5).| [platform.minimax.io](https://platform.minimax.io/user-center/basic-information) | +| MiniMax | `minimax` | No | Use MiniMax models (e.g., MiniMax-M2.7, MiniMax-M2.5).| [platform.minimax.io](https://platform.minimax.io/user-center/basic-information) | *Note:* * We advise against using `gpt-4o` or other OpenAI models for complex web browsing and task planning as current prompt optimizations are geared towards models like Deepseek. diff --git a/README_CHS.md b/README_CHS.md index d505131..d37c3af 100644 --- a/README_CHS.md +++ b/README_CHS.md @@ -230,7 +230,7 @@ provider_server_address = # 当 is_local = False 时，对于大多数 API 通 | Hugging Face | `huggingface` | 否 | 使用 Hugging Face Inference API 中的模型。 | [huggingface.co/settings/tokens](https://huggingface.co/settings/tokens) | | TogetherAI | `togetherAI` | 否 | 通过 TogetherAI API 使用各种开源模型。| [api.together.ai/settings/api-keys](https://api.together.ai/settings/api-keys) | | OpenRouter | `openrouter` | No | 通过 OpenRouter 使用各种开源模型| [https://openrouter.ai/](https://openrouter.ai/) | -| MiniMax | `minimax` | 否 | 使用 MiniMax 的 M2.5 系列模型（如 MiniMax-M2.5）。 | [platform.minimax.io](https://platform.minimax.io/user-center/basic-information) | +| MiniMax | `minimax` | 否 | 使用 MiniMax 模型（如 MiniMax-M2.7、MiniMax-M2.5）。 | [platform.minimax.io](https://platform.minimax.io/user-center/basic-information) | *注意：* * 我们不建议将 `gpt-4o` 或其他 OpenAI 模型用于复杂的网页浏览和任务规划，因为当前的提示优化针对 Deepseek 等模型。 diff --git a/sources/llm_provider.py b/sources/llm_provider.py index a77dc14..790965d 100644 --- a/sources/llm_provider.py +++ b/sources/llm_provider.py @@ -416,11 +416,13 @@ class Provider: def minimax_fn(self, history, verbose=False): """ Use MiniMax API to generate text via OpenAI-compatible interface. - + Supported models: + - MiniMax-M2.7: Latest flagship model with enhanced reasoning and coding + - MiniMax-M2.7-highspeed: High-speed version of M2.7 for low-latency scenarios - MiniMax-M2.5: Peak performance model (~60 tps), 204,800 context window - MiniMax-M2.5-highspeed: Same performance, faster (~100 tps) - + Note: temperature must be in range (0.0, 1.0], default is 1.0 """ load_dotenv() diff --git a/tests/test_minimax_provider.py b/tests/test_minimax_provider.py index 15453c3..0b7a041 100644 --- a/tests/test_minimax_provider.py +++ b/tests/test_minimax_provider.py @@ -155,6 +155,42 @@ class TestMiniMaxProvider(unittest.TestCase): class TestMiniMaxProviderModels(unittest.TestCase): """Test cases for MiniMax provider model configurations.""" + @patch('sources.llm_provider.OpenAI') + @patch.dict(os.environ, {'MINIMAX_API_KEY': 'test-key'}) + def test_minimax_m27_model(self, mock_openai_class): + """Test MiniMax-M2.7 model.""" + mock_client = MagicMock() + mock_openai_class.return_value = mock_client + mock_response = MagicMock() + mock_response.choices = [MagicMock(message=MagicMock(content="Response"))] + mock_client.chat.completions.create.return_value = mock_response + + with patch.object(Provider, 'get_api_key', return_value='test-key'): + provider = Provider("minimax", "MiniMax-M2.7", is_local=False) + history = [{"role": "user", "content": "Hello"}] + provider.minimax_fn(history) + + call_kwargs = mock_client.chat.completions.create.call_args[1] + self.assertEqual(call_kwargs['model'], "MiniMax-M2.7") + + @patch('sources.llm_provider.OpenAI') + @patch.dict(os.environ, {'MINIMAX_API_KEY': 'test-key'}) + def test_minimax_m27_highspeed_model(self, mock_openai_class): + """Test MiniMax-M2.7-highspeed model.""" + mock_client = MagicMock() + mock_openai_class.return_value = mock_client + mock_response = MagicMock() + mock_response.choices = [MagicMock(message=MagicMock(content="Response"))] + mock_client.chat.completions.create.return_value = mock_response + + with patch.object(Provider, 'get_api_key', return_value='test-key'): + provider = Provider("minimax", "MiniMax-M2.7-highspeed", is_local=False) + history = [{"role": "user", "content": "Hello"}] + provider.minimax_fn(history) + + call_kwargs = mock_client.chat.completions.create.call_args[1] + self.assertEqual(call_kwargs['model'], "MiniMax-M2.7-highspeed") + @patch('sources.llm_provider.OpenAI') @patch.dict(os.environ, {'MINIMAX_API_KEY': 'test-key'}) def test_minimax_m25_model(self, mock_openai_class):