feat(provider): add Obscurify.ai

README.jp.md

@@ -473,6 +473,12 @@ DeepChatはメッセージアプリからリモート操作できるため、デ
       <a href="https://cheapaimodel.ai/?utm_source=deepchat">cheapaimodel</a>
     </td>
   </tr>
+  <tr align="center">
+    <td>
+      <img src="./src/renderer/src/assets/llm-icons/obscurify.svg" width="50" height="50" alt="Obscurify.ai Icon"><br/>
+      <a href="https://obscurify.ai/?utm_source=deepchat">Obscurify.ai</a>
+    </td>
+  </tr>
 
 </table>
 

README.md

@@ -476,6 +476,12 @@ Common commands include `/start`, `/help`, `/pair`, `/new`, `/sessions`, `/use`,
       <a href="https://cheapaimodel.ai/?utm_source=deepchat">cheapaimodel</a>
     </td>
   </tr>
+  <tr align="center">
+    <td>
+      <img src="./src/renderer/src/assets/llm-icons/obscurify.svg" width="50" height="50" alt="Obscurify.ai Icon"><br/>
+      <a href="https://obscurify.ai/?utm_source=deepchat">Obscurify.ai</a>
+    </td>
+  </tr>
 
 </table>
 

README.zh.md

@@ -470,6 +470,12 @@ DeepChat 可以通过聊天软件远程控制，让你离开桌面后也能继
       <a href="https://cheapaimodel.ai/?utm_source=deepchat">cheapaimodel</a>
     </td>
   </tr>
+  <tr align="center">
+    <td>
+      <img src="./src/renderer/src/assets/llm-icons/obscurify.svg" width="50" height="50" alt="Obscurify.ai Icon"><br/>
+      <a href="https://obscurify.ai/?utm_source=deepchat">Obscurify.ai</a>
+    </td>
+  </tr>
 
 </table>
 

docs/features/provider-runtime/spec.md

@@ -116,6 +116,18 @@ Embeddings are disabled for this profile.
 
 Upstream reference: [API docs](https://cloudgpu.app/api/docs?utm_source=deepchat).
 
+## Obscurify.ai
+
+`obscurify` uses the OpenAI-compatible transport with API-key credentials. Live model discovery
+reads the public `/v1/models` catalog, keeps each model's `context_length` and `tools` flag, and
+skips entries that are not chat models: decision models (`decisions: true`, which include the
+`typesafe/jev-*` judgment models) and ids that match the shared non-chat filter, such as image
+models. The catalog is public, so connection checks generate text with
+`meta-llama/llama-3.3-70b-instruct` and the shared 16-token output limit to validate credentials.
+Embeddings are disabled for this profile.
+
+Upstream reference: [API docs](https://obscurify.ai/api-docs).
+
 ## OpenAI Codex
 
 `openai-codex` is separate from standard `openai`: distinct provider ID, runtime kind, credential store,

src/main/provider/defaults.ts

@@ -720,6 +720,20 @@ const PROVIDER_DEFAULTS: LLM_PROVIDER_BASE[] = [
       models: 'https://cheapaimodel.ai/models?utm_source=deepchat'
     }
   },
+  {
+    id: 'obscurify',
+    name: 'Obscurify.ai',
+    apiType: 'openai-completions',
+    apiKey: '',
+    baseUrl: 'https://obscurify.ai/v1',
+    enable: false,
+    websites: {
+      official: 'https://obscurify.ai/?utm_source=deepchat',
+      apiKey: 'https://obscurify.ai/account',
+      docs: 'https://obscurify.ai/api-docs',
+      models: 'https://obscurify.ai/model_cards'
+    }
+  },
   {
     id: 'aistupidlevel',
     name: 'AI Stupid Level',

src/main/provider/providerRegistry.ts

@@ -14,6 +14,7 @@ export type AiSdkModelSourceStrategy =
   | 'apimodels'
   | 'runcrate'
   | 'cloudgpu'
+  | 'obscurify'
   | 'apimart'
   | 'openai-codex'
   | 'opencode-go'
@@ -664,6 +665,20 @@ const PROVIDER_ID_REGISTRY = new Map<string, AiSdkProviderDefinition>([
       checkMaxTokens: 16
     })
   ],
+  [
+    'obscurify',
+    createDefinition({
+      ...OPENAI_BASE,
+      modelSource: 'obscurify',
+      checkStrategy: 'generate-text',
+      credentialStrategy: 'api-key',
+      embeddingStrategy: 'none',
+      checkModelId: 'meta-llama/llama-3.3-70b-instruct',
+      checkPrompt: 'Hello',
+      checkTemperature: 0.2,
+      checkMaxTokens: 16
+    })
+  ],
   [
     'poe',
     createDefinition({

src/main/provider/providers/aiSdkProvider.ts

@@ -9,6 +9,7 @@ import {
   resolveNewApiEndpointTypeFromRoute,
   type NewApiEndpointType
 } from '@shared/model'
+import { isJevJudgmentModelId } from '@shared/jevProtocol'
 import { isTtsModelConfig, isTtsModelId } from '@shared/ttsSettings'
 import { isVideoGenerationModelConfig } from '@shared/videoGenerationSettings'
 import type { ChatMessage } from '@shared/types/core/chat-message'
@@ -212,6 +213,26 @@ function toPositiveFiniteNumber(value: unknown): number | undefined {
   return typeof value === 'number' && Number.isFinite(value) && value > 0 ? value : undefined
 }
 
+// Id fragments that mark a catalog entry as clearly not a chat model, for public catalogs that
+// carry no capability field (embedding, rerank, image, audio, speech).
+const NON_CHAT_MODEL_ID_PATTERNS = [
+  'embed',
+  'rerank',
+  'image',
+  'flux-',
+  'audio',
+  'speech',
+  'tts',
+  'whisper',
+  '-asr',
+  'transcri'
+]
+
+function isNonChatCatalogModelId(modelId: string): boolean {
+  const lower = modelId.toLowerCase()
+  return NON_CHAT_MODEL_ID_PATTERNS.some((pattern) => lower.includes(pattern))
+}
+
 function toErrorMessage(error: unknown, fallback: string): string {
   if (error instanceof Error && error.message) {
     return error.message
@@ -1786,6 +1807,8 @@ export class AiSdkProvider extends BaseLLMProvider {
         return this.fetchRuncrateModels()
       case 'cloudgpu':
         return this.fetchCloudgpuModels()
+      case 'obscurify':
+        return this.fetchObscurifyModels()
       case 'bedrock':
         return this.fetchBedrockModels()
       case 'new-api':
@@ -2188,23 +2211,10 @@ export class AiSdkProvider extends BaseLLMProvider {
    */
   private async fetchCloudgpuModels(): Promise<MODEL_META[]> {
     const records = await this.fetchOpenAIModelRecords({ timeout: this.getModelFetchTimeout() })
-    const nonChatPatterns = [
-      'embed',
-      'rerank',
-      'image',
-      'flux-',
-      'audio',
-      'speech',
-      'tts',
-      'whisper',
-      '-asr',
-      'transcri'
-    ]
     const models: MODEL_META[] = []
     for (const model of records) {
       const modelId = typeof model.id === 'string' ? model.id.trim() : ''
-      const lower = modelId.toLowerCase()
-      if (!modelId || nonChatPatterns.some((pattern) => lower.includes(pattern))) {
+      if (!modelId || isNonChatCatalogModelId(modelId)) {
         continue
       }
       models.push({
@@ -2222,6 +2232,40 @@ export class AiSdkProvider extends BaseLLMProvider {
     return models
   }
 
+  /**
+   * Obscurify.ai's public catalog answers without a key and publishes each model's context length
+   * and whether it accepts tools. It also lists models that are not chat models: decision models
+   * (flagged `decisions: true`, which include the Jev judgment models) and an image model. Those are
+   * left out so they cannot be picked in chat.
+   */
+  private async fetchObscurifyModels(): Promise<MODEL_META[]> {
+    const records = await this.fetchOpenAIModelRecords({ timeout: this.getModelFetchTimeout() })
+    const models: MODEL_META[] = []
+    for (const model of records) {
+      const modelId = typeof model.id === 'string' ? model.id.trim() : ''
+      if (
+        !modelId ||
+        model.decisions === true ||
+        isJevJudgmentModelId(modelId) ||
+        isNonChatCatalogModelId(modelId)
+      ) {
+        continue
+      }
+      const contextLength = toPositiveFiniteNumber(model.context_length)
+      models.push({
+        id: modelId,
+        name: modelId,
+        group: 'default',
+        providerId: this.provider.id,
+        isCustom: false,
+        type: ModelType.Chat,
+        ...(contextLength !== undefined ? { contextLength } : {}),
+        ...(typeof model.tools === 'boolean' ? { functionCall: model.tools } : {})
+      })
+    }
+    return models
+  }
+
   private async fetchBedrockModels(): Promise<MODEL_META[]> {
     const provider = this.provider as AWS_BEDROCK_PROVIDER
     const credential = provider.credential

src/renderer/src/components/icons/modelIconRegistry.ts

@@ -57,6 +57,7 @@ import aistupidlevelIcon from '@/assets/llm-icons/aistupidlevel.svg?url'
 import runcrateIcon from '@/assets/llm-icons/runcrate.svg?url'
 import cloudgpuIcon from '@/assets/llm-icons/cloudgpu.svg?url'
 import cheapaimodelIcon from '@/assets/llm-icons/cheapaimodel.svg?url'
+import obscurifyIcon from '@/assets/llm-icons/obscurify.svg?url'
 import demonrouteColorIcon from '@/assets/llm-icons/demonroute.svg?url'
 import orcarouterColorIcon from '@/assets/llm-icons/orcarouter.svg?url'
 import synthoraiColorIcon from '@/assets/llm-icons/synthorai.svg?url'
@@ -210,6 +211,7 @@ export const modelIcons = {
   runcrate: runcrateIcon,
   cloudgpu: cloudgpuIcon,
   cheapaimodel: cheapaimodelIcon,
+  obscurify: obscurifyIcon,
   demonroute: demonrouteColorIcon,
   orcarouter: orcarouterColorIcon,
   synthorai: synthoraiColorIcon,
@@ -296,6 +298,7 @@ const monoIconUrls = new Set<string>([
   cloudgpuIcon,
   xxapiIcon,
   llmbuzzIcon,
+  obscurifyIcon,
   demonrouteColorIcon,
   githubColorIcon,
   qiniuIcon,

test/main/provider/basicApiKeyProviders.test.ts

@@ -1866,6 +1866,96 @@ describe('basic API-key provider registrations', () => {
     )
   })
 
+  it('checks Obscurify.ai with a chat model instead of its public model list', async () => {
+    const defaults = DEFAULT_PROVIDERS.find((provider) => provider.id === 'obscurify')!
+    expect(defaults).toBeDefined()
+    const config = { ...defaults, apiKey: 'test-key' }
+    // The /v1/models catalog is public, so listing models cannot validate a key.
+    expect(resolveAiSdkProviderDefinition(config)).toMatchObject({
+      runtimeKind: 'openai-compatible',
+      modelSource: 'obscurify',
+      checkStrategy: 'generate-text',
+      credentialStrategy: 'api-key',
+      embeddingStrategy: 'none',
+      checkModelId: 'meta-llama/llama-3.3-70b-instruct'
+    })
+    const provider = new AiSdkProvider(config, createProviderSettings())
+    ;(provider as any).isInitialized = true
+
+    await expect(provider.check()).resolves.toEqual({ isOk: true, errorMsg: null })
+    expect(mockRunAiSdkGenerateText).toHaveBeenCalledWith(
+      expect.objectContaining({
+        providerKind: 'openai-compatible',
+        provider: expect.objectContaining({
+          id: 'obscurify',
+          apiKey: 'test-key',
+          baseUrl: 'https://obscurify.ai/v1'
+        })
+      }),
+      [{ role: 'user', content: 'Hello' }],
+      'meta-llama/llama-3.3-70b-instruct',
+      expect.any(Object),
+      0.2,
+      16
+    )
+  })
+
+  it('reads chat models with context length and tool support from the Obscurify.ai catalog', async () => {
+    const defaults = DEFAULT_PROVIDERS.find(({ id }) => id === 'obscurify')!
+    const fetchMock = vi.fn().mockResolvedValue(
+      Response.json({
+        object: 'list',
+        data: [
+          { id: 'moonshotai/kimi-k2-0905', context_length: 262144, tools: true },
+          { id: 'vendor/plain-model', context_length: 0, tools: false },
+          { id: 'vendor/no-metadata' },
+          { id: 'google/gemini-2.5-flash-image', context_length: 32768, tools: false },
+          { id: 'typesafe/jev-1.14', decisions: true, tools: false },
+          { id: 'typesafe/jev-latest', tools: false },
+          { id: 'vendor/decider-small', decisions: true, tools: false },
+          { id: '  ' },
+          { id: 7 }
+        ]
+      })
+    )
+    global.fetch = fetchMock
+    const provider = new AiSdkProvider(defaults, createProviderSettings())
+
+    expect(await provider.fetchModels({ suppressErrors: false })).toEqual([
+      {
+        id: 'moonshotai/kimi-k2-0905',
+        name: 'moonshotai/kimi-k2-0905',
+        group: 'default',
+        providerId: 'obscurify',
+        isCustom: false,
+        type: 'chat',
+        contextLength: 262144,
+        functionCall: true
+      },
+      {
+        id: 'vendor/plain-model',
+        name: 'vendor/plain-model',
+        group: 'default',
+        providerId: 'obscurify',
+        isCustom: false,
+        type: 'chat',
+        functionCall: false
+      },
+      {
+        id: 'vendor/no-metadata',
+        name: 'vendor/no-metadata',
+        group: 'default',
+        providerId: 'obscurify',
+        isCustom: false,
+        type: 'chat'
+      }
+    ])
+    expect(fetchMock).toHaveBeenCalledWith(
+      'https://obscurify.ai/v1/models',
+      expect.objectContaining({ method: 'GET' })
+    )
+  })
+
   it('lists only text chat models from the public Runcrate catalog', async () => {
     const defaults = DEFAULT_PROVIDERS.find(({ id }) => id === 'runcrate')!
     const fetchMock = vi.fn().mockResolvedValue(