Add NVIDIA NIM provider

This commit is contained in:
Mario Zechner
2026-06-02 15:09:36 +02:00
parent 13898f048f
commit 6014801229
20 changed files with 700 additions and 66 deletions

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@@ -2,6 +2,10 @@
## [Unreleased]
### Added
- Added NVIDIA NIM as a built-in OpenAI-compatible provider, exposing public NIM models that support tool use.
### Fixed
- Fixed Amazon Bedrock requests to replace blank required user/tool-result text with a placeholder and skip blank replay text blocks ([#4975](https://github.com/earendil-works/pi/issues/4975)).

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@@ -54,6 +54,7 @@ Unified LLM API with automatic model discovery, provider configuration, token an
- **Azure OpenAI (Responses)**
- **OpenAI Codex** (ChatGPT Plus/Pro subscription, requires OAuth, see below)
- **DeepSeek**
- **NVIDIA NIM**
- **Anthropic**
- **Google**
- **Vertex AI** (Gemini via Vertex AI)
@@ -801,7 +802,7 @@ A **provider** offers models through a specific API. For example:
- **Google** models use the `google-generative-ai` API
- **OpenAI** models use the `openai-responses` API
- **Mistral** models use the `mistral-conversations` API
- **xAI, Cerebras, Groq, Together AI, etc.** models use the `openai-completions` API (OpenAI-compatible)
- **xAI, Cerebras, Groq, NVIDIA NIM, Together AI, etc.** models use the `openai-completions` API (OpenAI-compatible)
### Querying Providers and Models
@@ -923,7 +924,7 @@ const ollamaReasoningModel: Model<'openai-completions'> = {
### OpenAI Compatibility Settings
The `openai-completions` API is implemented by many providers with minor differences. By default, the library auto-detects compatibility settings based on `baseUrl` for a small set of known OpenAI-compatible providers (Cerebras, xAI, Chutes, DeepSeek, Together AI, zAi, OpenCode, Cloudflare Workers AI, etc.). For custom proxies or unknown endpoints, you can override these settings via the `compat` field. For `openai-responses` models, the compat field only supports Responses-specific flags.
The `openai-completions` API is implemented by many providers with minor differences. By default, the library auto-detects compatibility settings based on `baseUrl` for a small set of known OpenAI-compatible providers (Cerebras, xAI, Chutes, DeepSeek, NVIDIA NIM, Together AI, zAi, OpenCode, Cloudflare Workers AI, etc.). For custom proxies or unknown endpoints, you can override these settings via the `compat` field. For `openai-responses` models, the compat field only supports Responses-specific flags.
```typescript
interface OpenAICompletionsCompat {
@@ -1102,6 +1103,7 @@ In Node.js environments, you can set environment variables to avoid passing API
| Azure OpenAI | `AZURE_OPENAI_API_KEY` + `AZURE_OPENAI_BASE_URL` (e.g. `https://{resource}.openai.azure.com`) or `AZURE_OPENAI_RESOURCE_NAME`. Supports `*.openai.azure.com` and `*.cognitiveservices.azure.com`; root endpoints auto-normalize to `/openai/v1`. Optional: `AZURE_OPENAI_API_VERSION` (default `v1`), `AZURE_OPENAI_DEPLOYMENT_NAME_MAP`. |
| Anthropic | `ANTHROPIC_API_KEY` or `ANTHROPIC_OAUTH_TOKEN` |
| DeepSeek | `DEEPSEEK_API_KEY` |
| NVIDIA NIM | `NVIDIA_API_KEY` |
| Google | `GEMINI_API_KEY` |
| Vertex AI | `GOOGLE_CLOUD_API_KEY` or `GOOGLE_CLOUD_PROJECT` (or `GCLOUD_PROJECT`) + `GOOGLE_CLOUD_LOCATION` + ADC |
| Mistral | `MISTRAL_API_KEY` |

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@@ -32,12 +32,17 @@ interface ModelsDevModel {
};
modalities?: {
input?: string[];
output?: string[];
};
provider?: {
npm?: string;
};
}
interface NvidiaNimModelListItem {
id: string;
}
interface AiGatewayModel {
id: string;
name?: string;
@@ -117,6 +122,39 @@ const TOGETHER_TOGGLE_REASONING_LEVEL_MAP = {
const AI_GATEWAY_MODELS_URL = "https://ai-gateway.vercel.sh/v1";
const AI_GATEWAY_BASE_URL = "https://ai-gateway.vercel.sh";
const NVIDIA_BASE_URL = "https://integrate.api.nvidia.com/v1";
const NVIDIA_HEADERS = {
"NVCF-POLL-SECONDS": "3600",
} as const;
const NVIDIA_OPENAI_COMPAT: OpenAICompletionsCompat = {
supportsStore: false,
supportsDeveloperRole: false,
supportsReasoningEffort: false,
maxTokensField: "max_tokens",
supportsStrictMode: false,
supportsLongCacheRetention: false,
};
const NVIDIA_NIM_UNSUPPORTED_MODELS = new Set([
"abacusai/dracarys-llama-3.1-70b-instruct",
"bytedance/seed-oss-36b-instruct",
"deepseek-ai/deepseek-v4-flash",
"deepseek-ai/deepseek-v4-pro",
"google/gemma-2-2b-it",
"google/gemma-3n-e2b-it",
"google/gemma-3n-e4b-it",
"google/gemma-4-31b-it",
"meta/llama-3.2-1b-instruct",
"meta/llama-4-maverick-17b-128e-instruct",
"microsoft/phi-4-mini-instruct",
"minimaxai/minimax-m2.7",
"mistralai/mistral-nemotron",
"nvidia/nemotron-mini-4b-instruct",
"qwen/qwen3-next-80b-a3b-instruct",
"qwen/qwen3.5-122b-a10b",
"qwen/qwen3.5-397b-a17b",
"sarvamai/sarvam-m",
"upstage/solar-10.7b-instruct",
]);
const ZAI_TOOL_STREAM_UNSUPPORTED_MODELS = new Set(["glm-4.5", "glm-4.5-air", "glm-4.5-flash", "glm-4.5v"]);
const EAGER_TOOL_INPUT_STREAMING_UNSUPPORTED_ANTHROPIC_MODELS = new Set([
"github-copilot:claude-haiku-4.5",
@@ -312,6 +350,30 @@ function getBedrockBaseUrl(modelId: string): string {
: "https://bedrock-runtime.us-east-1.amazonaws.com";
}
function normalizeNvidiaModelId(modelId: string): string {
return modelId.toLowerCase().replaceAll("_", ".");
}
async function fetchNvidiaNimModelIds(): Promise<Map<string, string>> {
try {
console.log("Fetching models from NVIDIA NIM API...");
const response = await fetch(`${NVIDIA_BASE_URL}/models`);
const data = (await response.json()) as { data?: NvidiaNimModelListItem[] };
const modelIds = new Map<string, string>();
for (const model of data.data ?? []) {
modelIds.set(model.id, model.id);
modelIds.set(normalizeNvidiaModelId(model.id), model.id);
}
console.log(`Fetched ${data.data?.length ?? 0} model IDs from NVIDIA NIM`);
return modelIds;
} catch (error) {
console.error("Failed to fetch NVIDIA NIM models:", error);
return new Map();
}
}
async function fetchOpenRouterModels(): Promise<Model<any>[]> {
try {
console.log("Fetching models from OpenRouter API...");
@@ -435,6 +497,7 @@ async function loadModelsDevData(): Promise<Model<any>[]> {
const data = await response.json();
const models: Model<any>[] = [];
const nvidiaNimModelIds = data.nvidia?.models ? await fetchNvidiaNimModelIds() : new Map<string, string>();
// Process Amazon Bedrock models
if (data["amazon-bedrock"]?.models) {
@@ -836,6 +899,40 @@ async function loadModelsDevData(): Promise<Model<any>[]> {
}
}
// Process NVIDIA NIM models
if (data.nvidia?.models) {
for (const [modelId, model] of Object.entries(data.nvidia.models)) {
const m = model as ModelsDevModel;
if (m.tool_call !== true) continue;
if (!m.modalities?.input?.includes("text")) continue;
if (!m.modalities?.output?.includes("text")) continue;
const liveModelId = nvidiaNimModelIds.get(modelId) ?? nvidiaNimModelIds.get(normalizeNvidiaModelId(modelId));
if (!liveModelId) continue;
if (NVIDIA_NIM_UNSUPPORTED_MODELS.has(liveModelId)) continue;
models.push({
id: liveModelId,
name: m.name || liveModelId,
api: "openai-completions",
provider: "nvidia",
baseUrl: NVIDIA_BASE_URL,
headers: { ...NVIDIA_HEADERS },
reasoning: m.reasoning === true,
input: m.modalities.input.includes("image") ? ["text", "image"] : ["text"],
cost: {
input: m.cost?.input || 0,
output: m.cost?.output || 0,
cacheRead: m.cost?.cache_read || 0,
cacheWrite: m.cost?.cache_write || 0,
},
compat: NVIDIA_OPENAI_COMPAT,
contextWindow: m.limit?.context || 4096,
maxTokens: m.limit?.output || 4096,
});
}
}
// Process Together AI models
const togetherProvider = data.together ?? data.togetherai ?? data["together-ai"];
if (togetherProvider?.models) {

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@@ -101,6 +101,7 @@ function getApiKeyEnvVars(provider: string): readonly string[] | undefined {
const envMap: Record<string, string> = {
openai: "OPENAI_API_KEY",
"azure-openai-responses": "AZURE_OPENAI_API_KEY",
nvidia: "NVIDIA_API_KEY",
deepseek: "DEEPSEEK_API_KEY",
google: "GEMINI_API_KEY",
"google-vertex": "GOOGLE_CLOUD_API_KEY",

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@@ -6335,6 +6335,369 @@ export const MODELS = {
maxTokens: 262144,
} satisfies Model<"openai-completions">,
},
"nvidia": {
"meta/llama-3.1-70b-instruct": {
id: "meta/llama-3.1-70b-instruct",
name: "Llama 3.1 70b Instruct",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 128000,
maxTokens: 4096,
} satisfies Model<"openai-completions">,
"meta/llama-3.1-8b-instruct": {
id: "meta/llama-3.1-8b-instruct",
name: "Llama 3.1 8B Instruct",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 16000,
maxTokens: 4096,
} satisfies Model<"openai-completions">,
"meta/llama-3.2-11b-vision-instruct": {
id: "meta/llama-3.2-11b-vision-instruct",
name: "Llama 3.2 11b Vision Instruct",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 128000,
maxTokens: 4096,
} satisfies Model<"openai-completions">,
"meta/llama-3.2-90b-vision-instruct": {
id: "meta/llama-3.2-90b-vision-instruct",
name: "Llama-3.2-90B-Vision-Instruct",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 128000,
maxTokens: 8192,
} satisfies Model<"openai-completions">,
"meta/llama-3.3-70b-instruct": {
id: "meta/llama-3.3-70b-instruct",
name: "Llama 3.3 70b Instruct",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 128000,
maxTokens: 4096,
} satisfies Model<"openai-completions">,
"mistralai/mistral-large-3-675b-instruct-2512": {
id: "mistralai/mistral-large-3-675b-instruct-2512",
name: "Mistral Large 3 675B Instruct 2512",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 262144,
maxTokens: 262144,
} satisfies Model<"openai-completions">,
"mistralai/mistral-small-4-119b-2603": {
id: "mistralai/mistral-small-4-119b-2603",
name: "mistral-small-4-119b-2603",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 128000,
maxTokens: 8192,
} satisfies Model<"openai-completions">,
"moonshotai/kimi-k2.6": {
id: "moonshotai/kimi-k2.6",
name: "Kimi K2.6",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 262144,
maxTokens: 262144,
} satisfies Model<"openai-completions">,
"nvidia/llama-3.3-nemotron-super-49b-v1": {
id: "nvidia/llama-3.3-nemotron-super-49b-v1",
name: "Llama 3.3 Nemotron Super 49B v1",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 131072,
maxTokens: 131072,
} satisfies Model<"openai-completions">,
"nvidia/llama-3.3-nemotron-super-49b-v1.5": {
id: "nvidia/llama-3.3-nemotron-super-49b-v1.5",
name: "Llama 3.3 Nemotron Super 49B v1.5",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 131072,
maxTokens: 131072,
} satisfies Model<"openai-completions">,
"nvidia/nemotron-3-nano-30b-a3b": {
id: "nvidia/nemotron-3-nano-30b-a3b",
name: "nemotron-3-nano-30b-a3b",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 131072,
maxTokens: 131072,
} satisfies Model<"openai-completions">,
"nvidia/nemotron-3-nano-omni-30b-a3b-reasoning": {
id: "nvidia/nemotron-3-nano-omni-30b-a3b-reasoning",
name: "Nemotron 3 Nano Omni",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 256000,
maxTokens: 65536,
} satisfies Model<"openai-completions">,
"nvidia/nemotron-3-super-120b-a12b": {
id: "nvidia/nemotron-3-super-120b-a12b",
name: "Nemotron 3 Super",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0.2,
output: 0.8,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 262144,
maxTokens: 262144,
} satisfies Model<"openai-completions">,
"nvidia/nvidia-nemotron-nano-9b-v2": {
id: "nvidia/nvidia-nemotron-nano-9b-v2",
name: "nvidia-nemotron-nano-9b-v2",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 131072,
maxTokens: 131072,
} satisfies Model<"openai-completions">,
"openai/gpt-oss-20b": {
id: "openai/gpt-oss-20b",
name: "GPT OSS 20B",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 131072,
maxTokens: 32768,
} satisfies Model<"openai-completions">,
"qwen/qwen3-coder-480b-a35b-instruct": {
id: "qwen/qwen3-coder-480b-a35b-instruct",
name: "Qwen3 Coder 480B A35B Instruct",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: false,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 262144,
maxTokens: 66536,
} satisfies Model<"openai-completions">,
"stepfun-ai/step-3.5-flash": {
id: "stepfun-ai/step-3.5-flash",
name: "Step 3.5 Flash",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 256000,
maxTokens: 16384,
} satisfies Model<"openai-completions">,
"stepfun-ai/step-3.7-flash": {
id: "stepfun-ai/step-3.7-flash",
name: "Step 3.7 Flash",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text", "image"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 256000,
maxTokens: 16384,
} satisfies Model<"openai-completions">,
"z-ai/glm-5.1": {
id: "z-ai/glm-5.1",
name: "GLM-5.1",
api: "openai-completions",
provider: "nvidia",
baseUrl: "https://integrate.api.nvidia.com/v1",
headers: {"NVCF-POLL-SECONDS":"3600"},
compat: {"supportsStore":false,"supportsDeveloperRole":false,"supportsReasoningEffort":false,"maxTokensField":"max_tokens","supportsStrictMode":false,"supportsLongCacheRetention":false},
reasoning: true,
input: ["text"],
cost: {
input: 0,
output: 0,
cacheRead: 0,
cacheWrite: 0,
},
contextWindow: 131072,
maxTokens: 131072,
} satisfies Model<"openai-completions">,
},
"openai": {
"gpt-4": {
id: "gpt-4",

View File

@@ -1078,8 +1078,10 @@ function detectCompat(model: Model<"openai-completions">): ResolvedOpenAIComplet
const isOpenRouter = provider === "openrouter" || baseUrl.includes("openrouter.ai");
const isCloudflareWorkersAI = provider === "cloudflare-workers-ai" || baseUrl.includes("api.cloudflare.com");
const isCloudflareAiGateway = provider === "cloudflare-ai-gateway" || baseUrl.includes("gateway.ai.cloudflare.com");
const isNvidia = provider === "nvidia" || baseUrl.includes("integrate.api.nvidia.com");
const isNonStandard =
isNvidia ||
provider === "cerebras" ||
baseUrl.includes("cerebras.ai") ||
provider === "xai" ||
@@ -1094,7 +1096,7 @@ function detectCompat(model: Model<"openai-completions">): ResolvedOpenAIComplet
isCloudflareWorkersAI ||
isCloudflareAiGateway;
const useMaxTokens = baseUrl.includes("chutes.ai") || isMoonshot || isCloudflareAiGateway || isTogether;
const useMaxTokens = baseUrl.includes("chutes.ai") || isMoonshot || isCloudflareAiGateway || isTogether || isNvidia;
const isGrok = provider === "xai" || baseUrl.includes("api.x.ai");
const isDeepSeek = provider === "deepseek" || baseUrl.includes("deepseek.com");
@@ -1103,7 +1105,7 @@ function detectCompat(model: Model<"openai-completions">): ResolvedOpenAIComplet
return {
supportsStore: !isNonStandard,
supportsDeveloperRole: !isNonStandard && !isOpenRouter,
supportsReasoningEffort: !isGrok && !isZai && !isMoonshot && !isTogether && !isCloudflareAiGateway,
supportsReasoningEffort: !isGrok && !isZai && !isMoonshot && !isTogether && !isCloudflareAiGateway && !isNvidia,
supportsUsageInStreaming: true,
maxTokensField: useMaxTokens ? "max_tokens" : "max_completion_tokens",
requiresToolResultName: false,
@@ -1122,10 +1124,10 @@ function detectCompat(model: Model<"openai-completions">): ResolvedOpenAIComplet
openRouterRouting: {},
vercelGatewayRouting: {},
zaiToolStream: false,
supportsStrictMode: !isMoonshot && !isTogether && !isCloudflareAiGateway,
supportsStrictMode: !isMoonshot && !isTogether && !isCloudflareAiGateway && !isNvidia,
cacheControlFormat,
sendSessionAffinityHeaders: false,
supportsLongCacheRetention: !(isTogether || isCloudflareWorkersAI || isCloudflareAiGateway),
supportsLongCacheRetention: !(isTogether || isCloudflareWorkersAI || isCloudflareAiGateway || isNvidia),
};
}

View File

@@ -28,6 +28,7 @@ export type KnownProvider =
| "openai"
| "azure-openai-responses"
| "openai-codex"
| "nvidia"
| "deepseek"
| "github-copilot"
| "xai"

View File

@@ -787,6 +787,30 @@ describe("Generate E2E Tests", () => {
});
});
describe.skipIf(!process.env.NVIDIA_API_KEY)("NVIDIA NIM Provider (Nemotron 3 Super via OpenAI Completions)", () => {
const llm = getModel("nvidia", "nvidia/nemotron-3-super-120b-a12b");
it("should complete basic text generation", { retry: 3 }, async () => {
await basicTextGeneration(llm);
});
it("should handle tool calling", { retry: 3 }, async () => {
await handleToolCall(llm);
});
it("should handle streaming", { retry: 3 }, async () => {
await handleStreaming(llm);
});
it("should handle thinking mode", { retry: 3 }, async () => {
await handleThinking(llm, { reasoningEffort: "high" });
});
it("should handle multi-turn with thinking and tools", { retry: 3 }, async () => {
await multiTurn(llm, { reasoningEffort: "high" });
});
});
describe.skipIf(!process.env.OPENROUTER_API_KEY)("OpenRouter Provider (glm-4.5v via OpenAI Completions)", () => {
const llm = getModel("openrouter", "z-ai/glm-4.5v");