Changelog

First-class model packs for AI Gateway, Baseten, Cerebras, DeepInfra, Fireworks, LM Studio, Ollama, OpenRouter, Sarvam, Together AI, and Vercel — dedicated types (BasetenModel, CerebrasModel, and so on) built on a shared OpenAI-compatible base, replacing the OpenAICompatibleProvider factory functions for these providers (still available, deprecated). MistralModel, PerplexityModel, DeepSeekModel, and GroqModel moved onto the same shared base for consistency, and every pack listed here now accepts queryParams.
Together AI, DeepInfra, and Baseten also get dedicated embedding model types: TogetherAIEmbeddingModel, DeepInfraEmbeddingModel, and BasetenEmbeddingModel.
OpenRouter's reasoning effort now maps to its actual nested reasoning: {"effort": ...} wire format instead of the generic reasoning_effort field other OpenAI-compatible providers use.

Reorganized into Examples/Features/ (the same numbered walkthroughs as before, plus a new 23-WorkflowGuides) and Examples/Providers/<Name>, a minimal runnable example for every supported provider.

The first release. A Swift port of the Vercel AI SDK for iOS and macOS.

generateText and streamText, with the tool-calling loop, steps, and streamed reasoning.
Structured output: generateObject, streamObject (plus elementStream for arrays), generateEnum, and generateJSON.
embed, embedMany, cosineSimilarity, and rerank.
A Schema DSL that validates arguments and output before decoding.
ReasoningEffort maps to each provider's native reasoning controls; reasoning streams as .reasoningDelta.

Agent, the ToolLoopAgent analog: a model bundled with instructions, tools, and loop settings. Also works as a ChatTransport.
Loop control (stopWhen, stepCountIs, hasToolCall), plus prepareCall, prepareStep, and toolOrder.
Closure-based Tool with typed arguments, execution context, approvals, and client-side tools.
Subagents: any Agent becomes a tool via asTool.
Provider-defined (server-executed) tools with typed builders under <Model>.Tools for xAI, OpenAI, Google, and Anthropic — web and X search, code execution, file search, computer use, and more. Calls and results come back as provider-executed .toolCall / .toolResult parts, and Anthropic's required beta headers are added for you.
MCP tools over HTTP via MCPClient.

Native packs that speak each provider's own wire:

OpenAIModel (Responses and .chat), AnthropicModel, GoogleModel, GoogleVertexModel, AzureOpenAIProvider, BedrockModel, XaiModel (with typed SearchParameters live search), GroqModel, DeepSeekModel, MistralModel, PerplexityModel, CohereModel.
OpenAICompatibleProvider factories for Together, Fireworks, Cerebras, OpenRouter, DeepInfra, Baseten, Vercel, Gateway, Ollama, LM Studio, and Sarvam.
Sarvam: sarvam-30b / sarvam-105b reasoning chat, SarvamSpeechModel (Bulbul), and SarvamTranscriptionModel (Saaras) for Indian languages.
ProviderRegistry and customProvider for "provider:model" strings and aliases.

wrapLanguageModel with extractReasoning, simulateStreaming, defaultSettings, and cache (backed by LanguageModelCache; ships an in-process InMemoryLanguageModelCache).
Hooks: transformRequest, wrapStream, and wrapCall (wrap the whole call and decide whether to run the model).

Images: OpenAI, fal, Luma, Replicate.
Speech: OpenAI, ElevenLabs, LMNT, Hume, Deepgram, Sarvam.
Transcription: OpenAI, ElevenLabs, Deepgram, AssemblyAI, Rev.ai, Gladia, Sarvam.
Video: xAI, Luma.

ChatSession, CompletionSession, and ObjectSession as @Observable objects for SwiftUI.
The UI-message stream protocol, wire-compatible with the AI SDK's /api/chat route: ChatTransport, HTTPChatTransport, LocalChatTransport, readUIMessageStream, message metadata, and stream resumption.
Realtime voice over WebSockets — OpenAI, Google (Gemini Live), and xAI — through RealtimeSession.

FoundationModelsModel runs Apple Intelligence through the same API as the cloud providers, with nothing leaving the device.

AITelemetry spans, structured AIError, and testing helpers in the AITesting module.