feat: add MiniMax as a new LLM provider

core/llm/llms/MiniMax.ts

@@ -0,0 +1,40 @@
+import { ChatMessage, CompletionOptions, LLMOptions } from "../../index.js";
+
+import OpenAI from "./OpenAI.js";
+
+class MiniMax extends OpenAI {
+  static providerName = "minimax";
+  static defaultOptions: Partial<LLMOptions> = {
+    apiBase: "https://api.minimax.io/v1/",
+    model: "MiniMax-M2.5",
+    useLegacyCompletionsEndpoint: false,
+  };
+
+  protected _convertArgs(
+    options: CompletionOptions,
+    messages: ChatMessage[],
+  ) {
+    const finalOptions = super._convertArgs(options, messages);
+
+    // MiniMax requires temperature in (0.0, 1.0] — zero is rejected
+    if (
+      finalOptions.temperature !== undefined &&
+      finalOptions.temperature !== null
+    ) {
+      if (finalOptions.temperature <= 0) {
+        finalOptions.temperature = 0.01;
+      } else if (finalOptions.temperature > 1) {
+        finalOptions.temperature = 1.0;
+      }
+    }
+
+    // MiniMax does not support response_format
+    if ((finalOptions as any).response_format) {
+      delete (finalOptions as any).response_format;
+    }
+
+    return finalOptions;
+  }
+}
+
+export default MiniMax;

core/llm/llms/index.ts

@@ -38,6 +38,7 @@ import Lemonade from "./Lemonade";
 import LMStudio from "./LMStudio";
 import Mistral from "./Mistral";
 import Mimo from "./Mimo";
+import MiniMax from "./MiniMax";
 import MockLLM from "./Mock";
 import Moonshot from "./Moonshot";
 import Msty from "./Msty";
@@ -92,6 +93,7 @@ export const LLMClasses = [
   LMStudio,
   Mistral,
   Mimo,
+  MiniMax,
   Bedrock,
   BedrockImport,
   SageMaker,

docs/customize/model-providers/more/minimax.mdx

@@ -0,0 +1,53 @@
+---
+title: "How to Configure MiniMax with Continue"
+sidebarTitle: "MiniMax"
+---
+
+<Info>
+  Get your API key from the [MiniMax Platform](https://platform.minimax.io)
+</Info>
+
+## Configuration
+
+<Tabs>
+  <Tab title="YAML">
+  ```yaml title="config.yaml"
+  name: My Config
+  version: 0.0.1
+  schema: v1
+
+  models:
+    - name: MiniMax M2.5
+      provider: minimax
+      model: MiniMax-M2.5
+      apiKey: <YOUR_MINIMAX_API_KEY>
+  ```
+  </Tab>
+  <Tab title="JSON (Deprecated)">
+  ```json title="config.json"
+  {
+    "models": [
+      {
+        "title": "MiniMax M2.5",
+        "provider": "minimax",
+        "model": "MiniMax-M2.5",
+        "apiKey": "<YOUR_MINIMAX_API_KEY>"
+      }
+    ]
+  }
+  ```
+  </Tab>
+</Tabs>
+
+## Available Models
+
+| Model | Description |
+| :---- | :---------- |
+| `MiniMax-M2.5` | Peak performance with ultimate value. 204K context window. |
+| `MiniMax-M2.5-highspeed` | Same performance, faster and more agile. 204K context window. |
+
+## Notes
+
+- MiniMax uses an OpenAI-compatible API at `https://api.minimax.io/v1`
+- Set the `MINIMAX_API_KEY` environment variable or configure `apiKey` in your config
+- For users in China, set `apiBase` to `https://api.minimaxi.com/v1/`

docs/customize/model-providers/overview.mdx

@@ -38,6 +38,7 @@ Beyond the top-level providers, Continue supports many other options:
 | [Cohere](/customize/model-providers/more/cohere)                       | Models specialized for semantic search and text generation |
 | [NVIDIA](/customize/model-providers/more/nvidia)                       | GPU-accelerated model hosting                              |
 | [Cloudflare](/customize/model-providers/more/cloudflare)               | Edge-based AI inference services                           |
+| [MiniMax](/customize/model-providers/more/minimax)                     | High-performance models with 200K+ context window          |
 
 ### Local Model Options
 

gui/src/pages/AddNewModel/configs/models.ts

@@ -2688,6 +2688,30 @@ export const models: { [key: string]: ModelPackage } = {
     providerOptions: ["sambanova"],
     isOpenSource: true,
   },
+  minimaxM25: {
+    title: "MiniMax M2.5",
+    description:
+      "Peak performance with ultimate value. Excels at complex reasoning, code generation, and multi-step tasks with a 204K context window.",
+    params: {
+      title: "MiniMax M2.5",
+      model: "MiniMax-M2.5",
+      contextLength: 204_800,
+    },
+    providerOptions: ["minimax"],
+    isOpenSource: false,
+  },
+  minimaxM25Highspeed: {
+    title: "MiniMax M2.5 Highspeed",
+    description:
+      "Same performance as M2.5, faster and more agile for latency-sensitive tasks with a 204K context window.",
+    params: {
+      title: "MiniMax M2.5 Highspeed",
+      model: "MiniMax-M2.5-highspeed",
+      contextLength: 204_800,
+    },
+    providerOptions: ["minimax"],
+    isOpenSource: false,
+  },
   AUTODETECT: {
     title: "Autodetect",
     description:

gui/src/pages/AddNewModel/configs/providers.ts

@@ -579,6 +579,36 @@ Select the \`GPT-4o\` model below to complete your provider configuration, but n
     ],
     apiKeyUrl: "https://console.groq.com/keys",
   },
+  minimax: {
+    title: "MiniMax",
+    provider: "minimax",
+    description:
+      "MiniMax offers high-performance models with 200K+ context windows at competitive pricing.",
+    longDescription:
+      "To get started with MiniMax, obtain an API key from the [MiniMax Platform](https://platform.minimax.io).",
+    tags: [ModelProviderTags.RequiresApiKey],
+    collectInputFor: [
+      {
+        inputType: "text",
+        key: "apiKey",
+        label: "API Key",
+        placeholder: "Enter your MiniMax API key",
+        required: true,
+      },
+    ],
+    packages: [
+      models.minimaxM25,
+      models.minimaxM25Highspeed,
+      {
+        ...models.AUTODETECT,
+        params: {
+          ...models.AUTODETECT.params,
+          title: "MiniMax",
+        },
+      },
+    ],
+    apiKeyUrl: "https://platform.minimax.io",
+  },
   deepseek: {
     title: "DeepSeek",
     provider: "deepseek",

packages/config-types/src/index.ts

@@ -61,6 +61,7 @@ export const modelDescriptionSchema = z.object({
     "nebius",
     "scaleway",
     "watsonx",
+    "minimax",
   ]),
   model: z.string(),
   apiKey: z.string().optional(),

packages/llm-info/src/index.ts

@@ -4,6 +4,7 @@ import { Bedrock } from "./providers/bedrock.js";
 import { Cohere } from "./providers/cohere.js";
 import { CometAPI } from "./providers/cometapi.js";
 import { Gemini } from "./providers/gemini.js";
+import { MiniMax } from "./providers/minimax.js";
 import { Mistral } from "./providers/mistral.js";
 import { Ollama } from "./providers/ollama.js";
 import { OpenAi } from "./providers/openai.js";
@@ -25,6 +26,7 @@ export const allModelProviders: ModelProvider[] = [
   Bedrock,
   Cohere,
   CometAPI,
+  MiniMax,
   xAI,
   zAI,
 ];

packages/llm-info/src/providers/minimax.ts

@@ -0,0 +1,28 @@
+import { ModelProvider } from "../types.js";
+
+export const MiniMax: ModelProvider = {
+  models: [
+    {
+      model: "MiniMax-M2.5",
+      displayName: "MiniMax M2.5",
+      contextLength: 204800,
+      maxCompletionTokens: 192000,
+      description:
+        "Peak performance with ultimate value. Excels at complex reasoning, code generation, and multi-step tasks.",
+      regex: /MiniMax-M2\.5$/i,
+      recommendedFor: ["chat"],
+    },
+    {
+      model: "MiniMax-M2.5-highspeed",
+      displayName: "MiniMax M2.5 Highspeed",
+      contextLength: 204800,
+      maxCompletionTokens: 192000,
+      description:
+        "Same performance as M2.5, faster and more agile for latency-sensitive tasks.",
+      regex: /MiniMax-M2\.5-highspeed/i,
+      recommendedFor: ["chat"],
+    },
+  ],
+  id: "minimax",
+  displayName: "MiniMax",
+};

packages/openai-adapters/src/index.ts

@@ -141,6 +141,8 @@ export function constructLlmApi(config: LLMConfig): BaseLlmApi | undefined {
       return openAICompatible("http://localhost:8000/v1/", config);
     case "groq":
       return openAICompatible("https://api.groq.com/openai/v1/", config);
+    case "minimax":
+      return openAICompatible("https://api.minimax.io/v1/", config);
     case "sambanova":
       return openAICompatible("https://api.sambanova.ai/v1/", config);
     case "text-gen-webui":