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roanbrasil
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devops-gitops-corpus

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#### Key Additions
- **Typed chat messages** — `UIMessage` vs. `ModelMessage`. Convert UI messages to model messages before streaming for persistence and type safety.
- **Agentic Loop Control** — fine-tune or stop multi-step tool calls using `stopWhen` and `prepareStep`. Includes a lightweight `Agent` class that wraps `generateText` and `streamText`.
- **SSE-based Streaming** — Server-Sent Events replace WebSockets for stable real-time responses and partial data streaming.
- **Dynamic Tooling** — define tools dynamically with `inputSchema` and `outputSchema` instead of `parameters` and `result`. Runtime-defined tools and improved schema validation.
- **Speech & Audio APIs** — experimental text-to-speech and transcription support for OpenAI, ElevenLabs, Deepgram.
- **Global Provider System** — models can be referenced simply as `"openai/gpt-4o"`; provider setup is handled automatically.
- **Zod 4 + MCP V2 Support** — upgraded schema and protocol for reasoning, sources, and image generation.
<ZoomableMermaid chart={`graph LR
VAISDK[Vercel AI SDK v5] --> MODELS[Model Providers]
VAISDK --> FEATURES[Features]
VAISDK --> UI[UI Hooks]
MODELS --> OPENAI[OpenAI]
MODELS --> ANTHROPIC[Anthropic]
MODELS --> GOOGLE[Google Gemini]
MODELS --> HF[Hugging Face]
FEATURES --> STREAM[Streaming]
FEATURES --> TOOLS[Dynamic Tools]
FEATURES --> SPEECH[Speech APIs]
FEATURES --> AGENTIC[Agentic Loop Control]
FEATURES --> GLOBAL[Global Provider]
FEATURES --> SCHEMA[Zod 4 Schema]
UI --> USECHAT[useChat]
UI --> USECOMPLETION[useCompletion]
style VAISDK fill:#121E1B,stroke:#50C878,stroke-width:2px,color:#50C878
style MODELS fill:#0F1A15,stroke:#50C878,stroke-width:2px,color:#50C878
style FEATURES fill:#0F1A15,stroke:#50C878,stroke-width:2px,color:#50C878
style UI fill:#0F1A15,stroke:#50C878,stroke-width:2px,color:#50C878`} />
#### Core SDK Functions
**Model Provider Support**
The SDK supports multiple model providers (OpenAI, Anthropic, Google Gemini, Hugging Face) through a single API. This eliminates provider-specific integration code for each model.
**Streaming**
The SDK supports streaming responses for both text and structured data (JSON). For Next.js applications, React hooks like `useChat` and `useCompletion` handle common UI patterns.
**Additional Components:**
- **`generateText` / `streamText`**: Functions for text generation with streaming support.
- **`generateObject` / `streamObject`**: Generate structured data (JSON) with schema validation using Zod. Model output conforms to the defined schema structure. Model support for structured output varies by provider.
- **Function Calling**: Models can invoke predefined functions or tools. An agent can fetch data from an API or execute actions during conversation.
- **Multi-modal Support**: Process inputs beyond text, such as images. The SDK passes multi-modal messages to models that support this capability.
- **Provider-Specific Options**: Pass provider-specific parameters directly to underlying SDK functions through the `provider` object for model-specific features.
:::important Performance Note
When using `streamObject()` with large response structures, implement progressive UI rendering to maintain responsiveness. Schema validation can introduce delays with complex nested structures.
:::
---
### Example Code (AI SDK 5)
```typescript
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
const result = await generateText({
model: openai("gpt-4o"),
prompt: "Explain what an agentic loop is in one sentence.",
});
console.log(result.text);
```
This structure now supports typed responses, streamed outputs, and custom data chunks.
:::note API Key Management
The SDK looks for environment variables like `OPENAI_API_KEY` or `ANTHROPIC_API_KEY`. Set these in your development environment or deployment configuration.
:::
---
## VoltAgent: Building Autonomous AI Agents
VoltAgent is a TypeScript framework for creating autonomous AI agents. While Vercel AI SDK focuses on model communication, VoltAgent provides the agent architecture tools, memory, reasoning, and coordination.
Refer to [Vercel AI SDK docs](https://voltagent.dev/docs/integrations/vercel-ai/) on Voltagent.
### Core VoltAgent Concepts
- **Instructions** — define behavior and purpose
- **Tools** — external actions or APIs
- **Memory** — state and context
- **Sub-agents** — task delegation
- **Providers** — model connection layer
---
### Integration with Vercel AI SDK
VoltAgent integrates with AI SDK 5 through the `@voltagent/vercel-ai` provider. This allows agents to use Vercel's model APIs (`generateText`, `streamText`, `generateObject`) directly.
```typescript
import { Agent } from "@voltagent/core";