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Framework-agnostic on-device LLM inference with a unified OnDeviceGenerator API: single-shot and streaming generation, model download/progress tracking, systemInstruction handling, and simple cancellation semantics.
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Generative AI integration for Firebase offering model creation, content DSL, multi-turn chat with streaming, safety filters, Vertex AI backend support, and token-estimation tools.
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Firebase Vertex AI integration enabling agent-framework LLM prompts with preconfigured Gemini model definitions, streaming responses, and simple executor adapters for easy backend connection.
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Koog-compatible on-device LLM client enabling offline Gemini Nano and Apple Foundation Models inference without API keys, supports hybrid cloud fallback, model download, warm-up and routing.
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Instrumentation layer stamping events with verifiable envelope (UUIDv7 event_id, per-session seq, session_id, timestamp), plus autocapture, scoped context, Compose modifiers and vendor-neutral transports.
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Composable UI–friendly in-app review prompts with unified API, safe request semantics (returns accepted-only ReviewResult), and a fake manager for deterministic testing.