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FoundationModels: On-Device LLM (iOS 26)

poraffaan-m·affaan-m· v1.0.0 · atualizado em 2026-04-10
80
Score

Apple FoundationModels framework for on-device LLM — text generation, guided generation with @Generable, tool calling, and snapshot streaming in iOS 26+.

on-device-llmapple-intelligencefoundation-modelstool-callingstructured-generationsnapshot-streamingios-development
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Documento do Skill

SKILL.mdfoundation-models-on-device/workflow
1. Check model availability using `model.availability`.
2. Create a `LanguageModelSession` with optional instructions and tools.
3. Define `@Generable` types for structured output, if needed.
4. Send a prompt to the session using `session.respond(to:)`.
5. Handle tool calls and potential errors.
6. Access the response content using `response.content`.
7. Stream structured responses using `session.streamResponse(to:)` for real-time UI updates.

Telemetria de Agentes

Execuções
0
total
Taxa de Sucesso
0%
últimos 30d
Latência Média
0.0s
p50
Alucinação
0.0%
detecção
Tokens Entrada
0
avg 0/exec
Tokens Saída
0
avg 0/exec

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Árvore do Skill

FoundationModels: On-Device LLM (iOS 26)
foundation-models-on-device
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.ACT
5.REFLECT
Triggers8
use Apple's on-device language modelintegrate FoundationModels frameworkgenerate text on device with Apple Intelligenceextract structured data using FoundationModelsimplement custom tool calling in iOSstream structured responses in real-timegenerate content on device for privacyuse @Generable for structured output

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Score Breakdown

⭐Avaliação Humana0%
🤖Sucesso de Agentes0%
🕐Atualidade100%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo0%
🛡️Segurança50%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança

Instalação

$ synaptic mcp download foundation-models-on-device
$ synaptic skills detail foundation-models-on-device
$ synaptic skills live foundation-models-on-device

Links

GitHub Repository