feat: add NVIDIA NIM and MiniMax provider support

.env.example

@@ -225,6 +225,30 @@ ANTHROPIC_API_KEY=sk-ant-your-key-here
 # GOOGLE_CLOUD_PROJECT=your-gcp-project-id
 
 
+# -----------------------------------------------------------------------------
+# Option 9: NVIDIA NIM
+# -----------------------------------------------------------------------------
+# NVIDIA NIM provides hosted inference endpoints for NVIDIA models.
+# Get your API key from https://build.nvidia.com/
+#
+# CLAUDE_CODE_USE_OPENAI=1
+# NVIDIA_API_KEY=nvapi-your-key-here
+# OPENAI_BASE_URL=https://integrate.api.nvidia.com/v1
+# OPENAI_MODEL=nvidia/llama-3.1-nemotron-70b-instruct
+
+
+# -----------------------------------------------------------------------------
+# Option 10: MiniMax
+# -----------------------------------------------------------------------------
+# MiniMax API provides text generation models.
+# Get your API key from https://platform.minimax.io/
+#
+# CLAUDE_CODE_USE_OPENAI=1
+# MINIMAX_API_KEY=your-minimax-key-here
+# OPENAI_BASE_URL=https://api.minimax.io/v1
+# OPENAI_MODEL=MiniMax-M2.5
+
+
 # =============================================================================
 # OPTIONAL TUNING
 # =============================================================================

src/components/ProviderManager.tsx

@@ -1009,6 +1009,16 @@ export function ProviderManager({ mode, onDone }: Props): React.ReactNode {
         label: 'Custom',
         description: 'Any OpenAI-compatible provider',
       },
+      {
+        value: 'nvidia-nim',
+        label: 'NVIDIA NIM',
+        description: 'NVIDIA NIM endpoint',
+      },
+      {
+        value: 'minimax',
+        label: 'MiniMax',
+        description: 'MiniMax API endpoint',
+      },
       ...(mode === 'first-run'
         ? [
             {

src/components/StartupScreen.ts

@@ -117,17 +117,28 @@ function detectProvider(): { name: string; model: string; baseUrl: string; isLoc
     const baseUrl = resolvedRequest.baseUrl
     const isLocal = isLocalProviderUrl(baseUrl)
     let name = 'OpenAI'
-    // Override to Codex when resolved endpoint is Codex
-    if (resolvedRequest.transport === 'codex_responses' || baseUrl.includes('chatgpt.com/backend-api/codex')) {
+    if (/nvidia/i.test(baseUrl) || /nvidia/i.test(rawModel) || process.env.NVIDIA_NIM)
+      name = 'NVIDIA NIM'
+    else if (/minimax/i.test(baseUrl) || /minimax/i.test(rawModel) || process.env.MINIMAX_API_KEY)
+      name = 'MiniMax'
+    else if (resolvedRequest.transport === 'codex_responses' || baseUrl.includes('chatgpt.com/backend-api/codex'))
       name = 'Codex'
-    } else if (/deepseek/i.test(baseUrl) || /deepseek/i.test(rawModel))       name = 'DeepSeek'
-    else if (/openrouter/i.test(baseUrl))                             name = 'OpenRouter'
-    else if (/together/i.test(baseUrl))                               name = 'Together AI'
-    else if (/groq/i.test(baseUrl))                                   name = 'Groq'
-    else if (/mistral/i.test(baseUrl) || /mistral/i.test(rawModel))     name = 'Mistral'
-    else if (/azure/i.test(baseUrl))                                  name = 'Azure OpenAI'
-    else if (/llama/i.test(rawModel))                                    name = 'Meta Llama'
-    else if (isLocal)                                                  name = getLocalOpenAICompatibleProviderLabel(baseUrl)
+    else if (/deepseek/i.test(baseUrl) || /deepseek/i.test(rawModel))
+      name = 'DeepSeek'
+    else if (/openrouter/i.test(baseUrl))
+      name = 'OpenRouter'
+    else if (/together/i.test(baseUrl))
+      name = 'Together AI'
+    else if (/groq/i.test(baseUrl))
+      name = 'Groq'
+    else if (/mistral/i.test(baseUrl) || /mistral/i.test(rawModel))
+      name = 'Mistral'
+    else if (/azure/i.test(baseUrl))
+      name = 'Azure OpenAI'
+    else if (/llama/i.test(rawModel))
+      name = 'Meta Llama'
+    else if (isLocal)
+      name = getLocalOpenAICompatibleProviderLabel(baseUrl)
 
     // Resolve model alias to actual model name + reasoning effort
     let displayModel = resolvedRequest.resolvedModel

src/services/api/openaiShim.ts

@@ -1313,8 +1313,12 @@ class OpenAIShimMessages {
       ...filterAnthropicHeaders(options?.headers),
     }
 
-    const isGemini = isEnvTruthy(process.env.CLAUDE_CODE_USE_GEMINI)
-    const apiKey = this.providerOverride?.apiKey ?? process.env.OPENAI_API_KEY ?? ''
+    const isGemini = isGeminiMode()
+    const isMiniMax = !!process.env.MINIMAX_API_KEY
+    const apiKey =
+      this.providerOverride?.apiKey ??
+      process.env.OPENAI_API_KEY ??
+      (isMiniMax ? process.env.MINIMAX_API_KEY : '')
     // Detect Azure endpoints by hostname (not raw URL) to prevent bypass via
     // path segments like https://evil.com/cognitiveservices.azure.com/
     let isAzure = false

src/utils/model/configs.ts

@@ -37,6 +37,8 @@ export const CLAUDE_3_7_SONNET_CONFIG = {
   gemini: 'gemini-2.0-flash',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_3_5_V2_SONNET_CONFIG = {
@@ -48,6 +50,8 @@ export const CLAUDE_3_5_V2_SONNET_CONFIG = {
   gemini: 'gemini-2.0-flash',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_3_5_HAIKU_CONFIG = {
@@ -59,6 +63,8 @@ export const CLAUDE_3_5_HAIKU_CONFIG = {
   gemini: 'gemini-2.0-flash-lite',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_HAIKU_4_5_CONFIG = {
@@ -70,6 +76,8 @@ export const CLAUDE_HAIKU_4_5_CONFIG = {
   gemini: 'gemini-2.0-flash-lite',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_SONNET_4_CONFIG = {
@@ -81,6 +89,8 @@ export const CLAUDE_SONNET_4_CONFIG = {
   gemini: 'gemini-2.0-flash',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_SONNET_4_5_CONFIG = {
@@ -92,6 +102,8 @@ export const CLAUDE_SONNET_4_5_CONFIG = {
   gemini: 'gemini-2.0-flash',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_OPUS_4_CONFIG = {
@@ -103,6 +115,8 @@ export const CLAUDE_OPUS_4_CONFIG = {
   gemini: 'gemini-2.5-pro-preview-03-25',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_OPUS_4_1_CONFIG = {
@@ -114,6 +128,8 @@ export const CLAUDE_OPUS_4_1_CONFIG = {
   gemini: 'gemini-2.5-pro-preview-03-25',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_OPUS_4_5_CONFIG = {
@@ -125,6 +141,8 @@ export const CLAUDE_OPUS_4_5_CONFIG = {
   gemini: 'gemini-2.5-pro-preview-03-25',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_OPUS_4_6_CONFIG = {
@@ -136,6 +154,8 @@ export const CLAUDE_OPUS_4_6_CONFIG = {
   gemini: 'gemini-2.5-pro-preview-03-25',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 export const CLAUDE_SONNET_4_6_CONFIG = {
@@ -147,6 +167,8 @@ export const CLAUDE_SONNET_4_6_CONFIG = {
   gemini: 'gemini-2.0-flash',
   github: 'github:copilot',
   codex: 'gpt-5.4',
+  'nvidia-nim': 'nvidia/llama-3.1-nemotron-70b-instruct',
+  minimax: 'MiniMax-M2.5',
 } as const satisfies ModelConfig
 
 // @[MODEL LAUNCH]: Register the new config here.
@@ -181,4 +203,4 @@ export const CANONICAL_ID_TO_KEY: Record<CanonicalModelId, ModelKey> =
     (Object.entries(ALL_MODEL_CONFIGS) as [ModelKey, ModelConfig][]).map(
       ([key, cfg]) => [cfg.firstParty, key],
     ),
-  ) as Record<CanonicalModelId, ModelKey>
+  ) as Record<CanonicalModelId, ModelKey>

src/utils/model/minimaxModels.ts

@@ -0,0 +1,46 @@
+/**
+ * MiniMax model list for the /model picker.
+ * Full model catalog from MiniMax API.
+ */
+
+import type { ModelOption } from './modelOptions.js'
+import { getAPIProvider } from './providers.js'
+import { isEnvTruthy } from '../envUtils.js'
+
+export function isMiniMaxProvider(): boolean {
+  if (isEnvTruthy(process.env.MINIMAX_API_KEY)) {
+    return true
+  }
+  const baseUrl = process.env.OPENAI_BASE_URL ?? ''
+  if (baseUrl.includes('minimax')) {
+    return true
+  }
+  return getAPIProvider() === 'minimax'
+}
+
+function getMiniMaxModels(): ModelOption[] {
+  return [
+    // Latest Generation Models - use correct MiniMax naming with M prefix
+    { value: 'MiniMax-M2', label: 'MiniMax M2', description: 'MoE model - 131K context - Chat/Code/Reasoning' },
+    { value: 'MiniMax-M2.1', label: 'MiniMax M2.1', description: 'Enhanced - 200K context - Vision' },
+    { value: 'MiniMax-M2.5', label: 'MiniMax M2.5', description: 'Flagship - 256K context - Vision/Function-calling' },
+    { value: 'MiniMax-Text-01', label: 'MiniMax Text 01', description: 'Text-focused - 512K context - FREE' },
+    { value: 'MiniMax-Text-01-Preview', label: 'MiniMax Text 01 Preview', description: 'Preview - 256K context - FREE' },
+    { value: 'MiniMax-Vision-01', label: 'MiniMax Vision 01', description: 'Vision model - 32K context' },
+    { value: 'MiniMax-Vision-01-Fast', label: 'MiniMax Vision 01 Fast', description: 'Fast vision - 16K context - FREE' },
+    // Legacy free tier models
+    { value: 'abab6.5s-chat', label: 'ABAB 6.5S Chat', description: 'Legacy free - 16K context' },
+    { value: 'abab6.5-chat', label: 'ABAB 6.5 Chat', description: 'Legacy free - 32K context' },
+    { value: 'abab6.5g-chat', label: 'ABAB 6.5G Chat', description: 'Generation 6.5 - 32K context' },
+    { value: 'abab6-chat', label: 'ABAB 6 Chat', description: 'Legacy - 8K context' },
+  ]
+}
+
+let cachedMiniMaxOptions: ModelOption[] | null = null
+
+export function getCachedMiniMaxModelOptions(): ModelOption[] {
+  if (!cachedMiniMaxOptions) {
+    cachedMiniMaxOptions = getMiniMaxModels()
+  }
+  return cachedMiniMaxOptions
+}

src/utils/model/modelOptions.ts

@@ -35,6 +35,8 @@ import { has1mContext } from '../context.js'
 import { getGlobalConfig } from '../config.js'
 import { getActiveOpenAIModelOptionsCache } from '../providerProfiles.js'
 import { getCachedOllamaModelOptions, isOllamaProvider } from './ollamaModels.js'
+import { getCachedNvidiaNimModelOptions, isNvidiaNimProvider } from './nvidiaNimModels.js'
+import { getCachedMiniMaxModelOptions, isMiniMaxProvider } from './minimaxModels.js'
 import { getAntModels } from './antModels.js'
 
 // @[MODEL LAUNCH]: Update all the available and default model option strings below.
@@ -390,6 +392,26 @@ function getModelOptionsBase(fastMode = false): ModelOption[] {
     return [defaultOption]
   }
 
+  // When using NVIDIA NIM, show models from the NVIDIA catalog
+  if (isNvidiaNimProvider()) {
+    const defaultOption = getDefaultOptionForUser(fastMode)
+    const nvidiaModels = getCachedNvidiaNimModelOptions()
+    if (nvidiaModels.length > 0) {
+      return [defaultOption, ...nvidiaModels]
+    }
+    return [defaultOption]
+  }
+
+  // When using MiniMax, show models from the MiniMax catalog
+  if (isMiniMaxProvider()) {
+    const defaultOption = getDefaultOptionForUser(fastMode)
+    const minimaxModels = getCachedMiniMaxModelOptions()
+    if (minimaxModels.length > 0) {
+      return [defaultOption, ...minimaxModels]
+    }
+    return [defaultOption]
+  }
+
   if (process.env.USER_TYPE === 'ant') {
     // Build options from antModels config
     const antModelOptions: ModelOption[] = getAntModels().map(m => ({