fix(deps): update dependency com.google.ai.edge.litertlm:litertlm-android to v0.16.1

[renovate]

This PR contains the following updates:

Package	Change	Age	Confidence
com.google.ai.edge.litertlm:litertlm-android	0.11.0 → 0.16.1

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Release Notes

google-ai-edge/LiteRT-LM (com.google.ai.edge.litertlm:litertlm-android)

v0.16.1

🔥 What's New: v0.16.1

• Fixed Windows JVM crash
• This release updates the fixed build flag only for Kotlin/Maven/Windows. Hence, the underlying git commit is the same as v0.16.0.

v0.16.0

🔥 What's New: v0.16.0

This release is a quick follow up to v0.15.0 (which brought Apple Foundation
Framework integration, CLI configuration, and JavaScript API Updates).

• 📦 C API Prebuilts: Added the first versioned C API shared library
  prebuilts for all supported platforms. This allows natively integrating
  LiteRT-LM into your applications and creating language bindings without the
  hassle of building shared libraries.
• 🚀 Experimental YNNPACK Delegate: Added the experimental
  YNNPACK
  delegate, enabled for linux arm64 builds in the LiteRT-LM CLI and Python
  API.

v0.15.0

🍎 Apple Foundation Framework

• Apple FM Adapter: Shipped a new Apple Foundation framework adapter natively integrating Apple's backend with the LiteRT-LM runtime for fast text and multimodal (vision/audio) execution featuring Gemma4 models, thanks to john-rocky's contributions!
• Concurrency & Stability: Resolved re-entrancy issues on concurrent engine initializations.

🛠️ LiteRT-LM CLI

• Centralized config.json System: Introduced configuration file support for the LiteRT-LM CLI to define global defaults and per-model settings (such as specialized hardware backends, thinking budgets, and context window sizes) without needing to pass verbose command-line flags.
• Strict Parameter Precedence: Execution parameters follow a clear hierarchy: Runtime arguments > Model-specific config > Global defaults > Model metadata > Engine fallbacks. For more details, see the CLI Configuration guide.

🌐 JavaScript API & Web Application (LiteRT-LM.js)

• Gemma 4 Web Support: Gemma 4 12B, Gemma 4 26B A4B, and Gemma 4 31B are officially supported on web.
• Memory Efficiency: Added a new use_autosized_ringbuffers option that improves long context memory efficiency.
• Tool Calling Capabilities: Added AutoToolChat, which automatically runs tool calls that the model emits.

v0.14.0

What's New (v0.14.0)

• Android Support for Python and CLI: The command-line interface and Python
  API now support running directly on Android (aarch64 and x86_64), such as
  inside Termux or packaged with BeeWare. See the CLI Guide and
  Python Guide.
• Tool Calling & Agentic Capabilities: Enabled real-time streaming of tool
  call tokens in C and Swift APIs, full tool calling support in LiteRT-LM.js,
  and support for reasoning/thinking channels.
• Expanded Multi-Modality & Auto-Backend Selection: Automatic backend
  selection for audio and vision models in the CLI (run and serve), alongside
  NPU and GPU audio acceleration.

v0.13.1

Bug fixes based on 0.13.0

v0.13.0

🔥 What's New (v0.13.0)

• 🚀 Agent skill support: Support creating a standalone LiteRT-LM Android demo app with backend selection and multi-modality support. See README.md for the example prompt.
• LiteRT LM CLI update: Support OpenAI API Compatible server (doc)
• Swift package for MacOS: Swift package supports MacOS besides iOS now.

v0.12.0

🔥 What's New (v0.12.0)

• 🚀 Swift APIs: Natively integrate LiteRT-LM into iOS applications with Metal GPU acceleration.
• 🚀 Web JavaScript APIs: Run models inside web browsers with high performance via web GPU/CPU.
• LiteRT-LM CLI Update: The command-line interface now supports NPU, besides CPU and GPU backends across Linux, macOS, and Windows.
• 🚀 Community-Maintained Flutter APIs: Build cross-platform Flutter applications using the community flutter_gemma package.

Features and bug fixes:

CLI

• [feature] NPU support for Intel OpenVINO with --backend=npu.
• [feature] Add --max-num-tokens (context length) to benchmark
• [bugfix] Pin CLI version with API version. (0.12.0 CLI uses 0.12.0 API)

Python API

• [feature] NPU support for Intel OpenVINO.
• [feature] New API to construct Message object.
• [bugfix] Correct the GPU activation type. Prefill speed back to normal (was limited to 50%).
• [bugfix] Propagate cache_dir to vision and audio backend.

---

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🤖 Android CI Summary

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🤖 Android CI Summary

Step Results:

• Debug Build: ✅ Success (3m 59s)
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• Compose Stability: ✅ Success (1m 0s)

Total Time: 7m 54s

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Roborazzi Snapshot Diff Report

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[github-actions]

🤖 Android CI Summary

Step Results:

• Debug Build: ✅ Success (3m 17s)
• Code Style Check: ✅ Success (2m 43s)
• Compose Stability: ✅ Success (47s)

Total Time: 6m 47s

🎉 All steps completed successfully!

[github-actions]

🤖 Android CI Summary

Step Results:

• Debug Build: ✅ Success (3m 8s)
• Code Style Check: ✅ Success (2m 30s)
• Compose Stability: ✅ Success (50s)

Total Time: 6m 28s

🎉 All steps completed successfully!

[github-actions]

🤖 Android CI Summary

Step Results:

• Debug Build: ✅ Success (53s)
• Code Style Check: ✅ Success (2m 37s)
• Compose Stability: ✅ Success (1m 8s)

Total Time: 4m 38s

🎉 All steps completed successfully!