Datasets:
roanbrasil
/
devops-gitops-corpus

Dataset card Data Studio Files
xet
 Community
1
text
stringlengths
0
59.1k
```
</TabItem>
<TabItem value="xAI" label="xAI">
```ts
import { Agent } from "@voltagent/core";
const agent = new Agent({
name: "grok-ideas",
instructions: "Brainstorm five product names.",
model: "xai/grok-3-mini",
});
```
</TabItem>
<TabItem value="OpenRouter" label="OpenRouter">
```ts
import { Agent } from "@voltagent/core";
const agent = new Agent({
name: "openrouter-agent",
instructions: "Answer in short paragraphs.",
model: "openrouter/anthropic/claude-3.5-haiku",
});
```
</TabItem>
</Tabs>
## Provider directory
Browse provider pages in the left navigation or visit the [Providers directory](/models-docs/providers/overview) for the full list.
For full model inventories per provider, see each provider page or explore [models.dev](https://models.dev).
## Type-safe model IDs
Use `ModelRouterModelId` to get IDE autocomplete for model strings:
```ts
import type { ModelRouterModelId } from "@voltagent/core";
const modelId: ModelRouterModelId = "openai/gpt-4.1-mini";
```
## Split workloads across models
Assign cheaper models to throughput-heavy steps and stronger models to critical analysis:
```ts
import { Agent } from "@voltagent/core";
const ingestAgent = new Agent({
name: "ingest-agent",
instructions: "Extract entities and key facts from raw notes.",
model: "google/gemini-2.0-flash",
});
const reviewAgent = new Agent({
name: "review-agent",
instructions: "Review the summary and flag risks or gaps.",
model: "anthropic/claude-3-5-sonnet",
});
```
## Runtime model selection
Pick a model based on request context:
```ts
const agent = new Agent({
name: "runtime-router",
model: ({ context }) => {
const tier = (context.get("tier") as string) || "fast";
return tier === "fast" ? "openai/gpt-4.1-mini" : "anthropic/claude-3-5-sonnet";
},
});
```
## Provider options
Pass provider-specific options per request when you need them:
```ts
const analyst = new Agent({
name: "analyst",
instructions: "Explain tradeoffs clearly and concisely.",
model: "openai/o3-mini",
});
const response = await analyst.generateText("Compare JWTs vs cookies for auth.", {
providerOptions: {
openai: { reasoningEffort: "high" },
},
});
```
## Custom headers
If you need custom headers, pass an ai-sdk `LanguageModel` directly: