continuedev · demianarc · Aug 13, 2026
@@ -5,34 +5,9 @@ import OpenAI from "./OpenAI";
 class Nebius extends OpenAI {
   static providerName = "nebius";
   static defaultOptions: Partial<LLMOptions> = {
-    apiBase: "https://api.studio.nebius.ai/v1/",
+    apiBase: "https://api.tokenfactory.nebius.com/v1/",
     useLegacyCompletionsEndpoint: false,
   };
-
-  private static MODEL_IDS: { [name: string]: string } = {
-    "deepseek/deepseek_v3": "deepseek-ai/DeepSeek-V3",
-    "deepseek/deepseek-r1": "deepseek-ai/DeepSeek-R1",
-    "qwen2.5-coder-32b": "Qwen/Qwen2.5-Coder-32B-Instruct-fast",
-    "Qwen/QwQ-32B-Preview": "Qwen/QwQ-32B-Preview",
-    "llama3.1-70b-nemotron": "nvidia/Llama-3.1-Nemotron-70B-Instruct-HF-fast",
-    "llama3.1-8b": "meta-llama/Meta-Llama-3.1-70B-Instruct-fast",
-    "llama3.1-70b": "meta-llama/Meta-Llama-3.1-70B-Instruct-fast",
-    "llama3.1-405b": "meta-llama/Meta-Llama-3.1-405B-Instruct",
-    "mistral-nemo": "mistralai/Mistral-Nemo-Instruct-2407-fast",
-    "mistral-8x7b": "mistralai/Mixtral-8x7B-Instruct-v0.1-fast",
-    "mistral-8x22b": "mistralai/Mixtral-8x22B-Instruct-v0.1-fast",
-    "qwen-coder2.5-7b": "Qwen/Qwen2.5-Coder-7B-Instruct-fast",
-    "deepseek-2-lite": "deepseek-ai/DeepSeek-Coder-V2-Lite-Instruct-fast",
-    "phi-3-mini": "microsoft/Phi-3-mini-4k-instruct-fast",
-    "phi-3-medium": "microsoft/Phi-3-medium-128k-instruct-fast",
-    "gemma2-2b-it": "google/gemma-2-2b-it-fast",
-    "gemma2-9b-it": "google/gemma-2-9b-it-fast",
-    "olmo-7b": "allenai/OLMo-7B-Instruct-hf",
-  };
-
-  protected _convertModelName(model: string) {
-    return Nebius.MODEL_IDS[model] || this.model;
-  }
 }
 
 export default Nebius;
@@ -450,7 +450,8 @@ createOpenAISubclassTests(LlamaStack, {
 
 createOpenAISubclassTests(Nebius, {
   providerName: "nebius",
-  defaultApiBase: "https://api.studio.nebius.ai/v1/",
+  defaultApiBase: "https://api.tokenfactory.nebius.com/v1/",
+  testTools: true,
 });
 
 createOpenAISubclassTests(OVHcloud, {

@@ -141,6 +141,7 @@ export interface OpenAISubclassConfig {
   customEmbeddingsHeaders?: { [key: string]: string };
   customEmbeddingsBody?: any;
   customBodyOptions?: any;
+  testTools?: boolean;
 }
 
 function getExpectedUrl(
@@ -252,6 +253,58 @@ export const createOpenAISubclassTests = (
       });
     });
 
+    if (config.testTools) {
+      test("chat should send tools to the provider", async () => {
+        const provider = new ProviderClass({
+          apiKey: "test-api-key",
+          model: "catalog/model-id",
+          apiBase: config.defaultApiBase || "https://api.openai.com/v1/",
+        });
+        const tools = [
+          {
+            type: "function" as const,
+            function: {
+              name: "read_file",
+              description: "Read a file",
+              parameters: {
+                type: "object",
+                properties: { path: { type: "string" } },
+                required: ["path"],
+              },
+            },
+          },
+        ];
+
+        await runLlmTest({
+          llm: provider,
+          methodToTest: "chat",
+          params: [
+            [{ role: "user", content: "read README.md" }],
+            new AbortController().signal,
+            { tools },
+          ],
+          expectedRequest: {
+            url: getExpectedUrl(config, "chat/completions"),
+            method: "POST",
+            headers: {
+              "Content-Type": "application/json",
+              Authorization: "Bearer test-api-key",
+              "api-key": "test-api-key",
+            },
+            body: {
+              model: "catalog/model-id",
+              messages: [{ role: "user", content: "read README.md" }],
+              stream: true,
+              max_tokens: 4096,
+              tools,
+              ...config.customBodyOptions,
+            },
+          },
+          mockStream: [{ choices: [{ delta: { content: "" } }] }],
+        });
+      });
+    }
+
     test("streamComplete should send a valid request", async () => {
       const provider = new ProviderClass({
         apiKey: "test-api-key",

@@ -1,75 +1,44 @@
 ---
-title: "Nebius"
-description: "Configure Nebius AI Studio with Continue to access their language model offerings, including DeepSeek R1 for chat and BAAI embeddings models"
+title: "Nebius Token Factory"
+description: "Configure Nebius Token Factory's OpenAI-compatible API with Continue"
 ---
 
-You can get an API key from the [Nebius AI Studio API keys page](https://studio.nebius.ai/settings/api-keys)
+[Nebius Token Factory](https://tokenfactory.nebius.com) provides an OpenAI-compatible inference API. Create an API key in Token Factory, then choose a model ID from its live catalog.
 
-## Available Models
+## Choose a model
 
-Available models can be found on the [Nebius AI Studio models page](https://studio.nebius.ai/models/text2text)
+Token Factory's catalog changes independently of Continue. Copy a current model ID from the [Models page](https://tokenfactory.nebius.com/models) or use the authenticated [`GET /v1/models` endpoint](https://docs.tokenfactory.nebius.com/api-reference/examples/list-of-models). Continue also fetches the catalog after you enter an API key in the model setup form.
 
-## Chat Model
+## Chat model
 
-<Tabs>
-  <Tab title="YAML">
-  ```yaml title="config.yaml"
-  name: My Config
-  version: 0.0.1
-  schema: v1
+```yaml title="config.yaml"
+name: My Config
+version: 0.0.1
+schema: v1
 
-  models:
-    - name: DeepSeek R1
-      provider: nebius
-      model: deepseek-ai/DeepSeek-R1
-      apiKey: <YOUR_NEBIUS_API_KEY>
-  ```
-  </Tab>
-  <Tab title="JSON">
-  ```json title="config.json"
-  {
-    "models": [
-      {
-        "title": "DeepSeek R1",
-        "provider": "nebius",
-        "model": "deepseek-ai/DeepSeek-R1",
-        "apiKey": "<YOUR_NEBIUS_API_KEY>"
-      }
-    ]
-  }
-  ```
-  </Tab>
-</Tabs>
+models:
+  - name: Nebius model
+    provider: nebius
+    model: <MODEL_ID_FROM_TOKEN_FACTORY>
+    apiKey: <YOUR_NEBIUS_API_KEY>
+```
 
-## Embeddings Model
+The provider uses the Chat Completions endpoint by default. Tool calling and other capabilities depend on the selected model; check that model's catalog metadata before enabling it for an agent role.
 
-Available models can be found on the [Nebius AI Studio embeddings page](https://studio.nebius.ai/models/embedding)
+## Embeddings model
 
-<Tabs>
-  <Tab title="YAML">
-  ```yaml title="config.yaml"
-  name: My Config
-  version: 0.0.1
-  schema: v1
+```yaml title="config.yaml"
+name: My Config
+version: 0.0.1
+schema: v1
 
-  models:
-    - name: BAAI Embedder
-      provider: nebius
-      model: BAAI/bge-en-icl
-      apiKey: <YOUR_NEBIUS_API_KEY>
-      roles:
-        - embed
-  ```
-  </Tab>
-  <Tab title="JSON">
-  ```json title="config.json"
-  {
-    "embeddingsProvider": {
-      "provider": "nebius",
-      "model": "BAAI/bge-en-icl",
-      "apiKey": "<YOUR_NEBIUS_API_KEY>"
-    }
-  }
-  ```
-  </Tab>
-</Tabs>
+models:
+  - name: Nebius embedder
+    provider: nebius
+    model: <EMBEDDING_MODEL_ID_FROM_TOKEN_FACTORY>
+    apiKey: <YOUR_NEBIUS_API_KEY>
+    roles:
+      - embed
+```
+
+See the [Token Factory API documentation](https://docs.tokenfactory.nebius.com/api-reference/introduction) for authentication and API details.
@@ -57,7 +57,7 @@ Beyond the top-level providers, Continue supports many other options:
 | [SambaNova](/customize/model-providers/more/SambaNova) | Enterprise AI platform                |
 | [Watson x](/customize/model-providers/more/watsonx)    | IBM's enterprise AI platform          |
 | [Sagemaker](/customize/model-providers/more/sagemaker) | AWS machine learning platform         |
-| [Nebius](/customize/model-providers/more/nebius)       | Cloud-based machine learning platform |
+| [Nebius](/customize/model-providers/more/nebius)       | OpenAI-compatible model inference API  |
 
 ## How to Choose a Model Provider
 

@@ -275,7 +275,7 @@
             "### vLLM\nvLLM is a highly performant way of hosting LLMs for a team. To get started, follow their [quickstart](https://docs.vllm.ai/en/latest/getting_started/quickstart.html) to set up your server.",
             "### Cerebras\nCerebras Inference uses specialized silicon to provides superfast inference. To get started, get your API keys from [their console](https://cloud.cerebras.ai/).",
             "### Ask Sage\nAsk Sage is an agnostic hosted service that provides language models. To get started with Ask Sage:\n1. Obtain an API key from your account. For more information, visit [Ask Sage](https://docs.asksage.ai/).\n2. Paste the API key below.\n3. Select a model preset.\n> [Reference](https://docs.asksage.ai/)",
-            "### Nebius\nNebius AI platform is a cloud service for machine learning model inference and training. To get started, obtain an API key from the [Nebius console](https://console.nebius.ai/).",
+            "### Nebius Token Factory\nNebius Token Factory provides an OpenAI-compatible model inference API. To get started, obtain an API key from [Token Factory](https://tokenfactory.nebius.com/).",
             "### Vertex AI\nVertex AI provides access to Google's foundation models and ML tools. To get started, enable the [Vertex AI API](https://console.cloud.google.com/marketplace/product/google/aiplatform.googleapis.com) and set up [Google Application Default Credentials](https://cloud.google.com/docs/authentication/provide-credentials-adc).",
             "### xAI offers a world class developer tool set to build scalable applications powered by Grok. To get started, obtain an API key from [the x Console](https://console.x.ai/), and see the [docs](https://docs.x.ai/docs/)",
             "### Secure AI management software that helps enterprises adopt and manage AI across their workforce. To get started, obtain an API key from [the Kindo console](https://app.kindo.ai/settings/api), and see the [website](https://app.kindo.ai//)",

@@ -1183,11 +1183,11 @@ To get started, [register](https://dataplatform.cloud.ibm.com/registration/stepo
     apiKeyUrl: "https://chat.asksage.ai/",
   },
   nebius: {
-    title: "Nebius AI Studio",
+    title: "Nebius Token Factory",
     provider: "nebius",
     refPage: "nebius",
-    description: "Use the Nebius API to run open-source models",
-    longDescription: `Nebius AI Studio is a cheap hosted service with $100 trial. To get started with Nebius AI Studio:\n1. Obtain an API key from [here](https://studio.nebius.ai)\n2. Paste below\n3. Select a model preset`,
+    description: "Use the Nebius Token Factory inference API",
+    longDescription: `Nebius Token Factory provides an OpenAI-compatible inference API. To get started:\n1. Create an API key in [Token Factory](https://tokenfactory.nebius.com)\n2. Paste it below\n3. Refresh and select a model from the live catalog`,
     params: {
       apiKey: "",
     },
@@ -1196,34 +1196,28 @@ To get started, [register](https://dataplatform.cloud.ibm.com/registration/stepo
         inputType: "text",
         key: "apiKey",
         label: "API Key",
-        placeholder: "Enter your Nebius AI Studio API key",
+        placeholder: "Enter your Nebius Token Factory API key",
         required: true,
       },
       ...completionParamsInputsConfigs,
     ],
     icon: "nebius.png",
     tags: [ModelProviderTags.RequiresApiKey, ModelProviderTags.OpenSource],
     packages: [
-      models.deepseekR1Chat,
-      models.deepseekV3Chat,
-      models.QwenQwQ_32b_preview,
-      models.Qwen25Coder_32b,
-      models.llama318bChat,
-      models.llama3170bChat,
-      models.llama31405bChat,
-      models.llama3170bNemotron,
-      models.mistral8x7b,
-      models.mistral8x22b,
-      models.mistralNemo,
-      models.phi3mini,
-      models.phi3medium,
-      models.gemma2_2b,
-      models.gemma2_9b,
-      models.Qwen2Coder,
-      models.deepseekCoder2Lite,
-      models.olmo7b,
-    ],
-    apiKeyUrl: "https://studio.nebius.ai/settings/api-keys",
+      {
+        title: "gpt-oss-120b",
+        description:
+          "A current Token Factory model. Refresh after entering an API key to load the live catalog.",
+        params: {
+          title: "gpt-oss-120b",
+          model: "openai/gpt-oss-120b",
+        },
+        providerOptions: ["nebius"],
+        icon: "openai.png",
+        isOpenSource: true,
+      },
+    ],
+    apiKeyUrl: "https://tokenfactory.nebius.com",
   },
   siliconflow: {
     title: "SiliconFlow",

@@ -171,7 +171,10 @@ export function constructLlmApi(config: LLMConfig): BaseLlmApi | undefined {
     case "novita":
       return openAICompatible("https://api.novita.ai/v3/openai", config);
     case "nebius":
-      return openAICompatible("https://api.studio.nebius.ai/v1/", config);
+      return openAICompatible(
+        "https://api.tokenfactory.nebius.com/v1/",
+        config,
+      );
     case "function-network":
       return openAICompatible("https://api.function.network/v1/", config);
     case "tensorix":

@@ -216,6 +216,27 @@ if (process.env.IGNORE_API_KEY_TESTS === "true") {
 }
 
 describe("Configuration", () => {
+  it("should configure Nebius with the Token Factory API by default", () => {
+    const nebius = constructLlmApi({
+      provider: "nebius",
+      apiKey: "test-api-key",
+    });
+
+    expect((nebius as OpenAIApi).openai.baseURL).toBe(
+      "https://api.tokenfactory.nebius.com/v1/",
+    );
+    expect((nebius as OpenAIApi).openai.apiKey).toBe("test-api-key");
+
+    const customNebius = constructLlmApi({
+      provider: "nebius",
+      apiKey: "test-api-key",
+      apiBase: "https://custom.example/v1/",
+    });
+    expect((customNebius as OpenAIApi).openai.baseURL).toBe(
+      "https://custom.example/v1/",
+    );
+  });
+
   it("should configure DeepSeek OpenAI client with correct apiBase and apiKey", () => {
     const deepseek = constructLlmApi({
       provider: "deepseek",