Added #

• Compute Budget Contracts: Declare p95 latency, battery drain, thermal level, and memory ceiling constraints via EdgeVedaBudget
• Adaptive Budget Profiles: BudgetProfile.conservative / .balanced / .performance auto-calibrate to measured device performance after warm-up
• MeasuredBaseline: Inspect actual device metrics (p95, drain rate, thermal, RSS) via Scheduler.measuredBaseline
• Central Scheduler: Arbitrates concurrent workloads (vision + text) with priority-based degradation every 2 seconds
• Budget Violation Events: Scheduler.onBudgetViolation stream with constraint details, mitigation status, and observeOnly classification
• Two-Phase Resolution: Latency constraints resolve at ~40s, battery constraints resolve when drain data arrives (~2min)
• Experiment Tracking: analyze_trace.py supports 6 testable hypotheses with versioned experiment runs
• Trace Export: Share JSONL trace files from soak test via native iOS share sheet
• Adaptive Budget UI: Soak test screen shows measured baseline, resolved budget, and resolution status live

Changed #

• Soak test uses EdgeVedaBudget.adaptive(BudgetProfile.balanced) instead of hardcoded values
• RuntimePolicy is now display-only; Scheduler is sole authority for inference gating
• PerfTrace captures scheduler_decision, budget_check, budget_violation, and budget_resolved entries

Fixed #

• License corrected to Apache 2.0 (was incorrectly MIT in pub.dev package)
• README rewritten with accurate capabilities and real soak test metrics
• CHANGELOG cleaned up to reflect only shipped features

Added #

• Vision (VLM): SmolVLM2-500M support for real-time camera-to-text inference
• Chat Session API: Multi-turn conversation management with context overflow summarization
• Chat Templates: Llama 3 Instruct, ChatML, and generic template formats
• System Prompt Presets: Built-in assistant, coder, and creative personas
• VisionWorker: Persistent isolate for vision inference (model loads once, reused across frames)
• FrameQueue: Drop-newest backpressure for camera frame processing
• RuntimePolicy: Adaptive QoS with thermal/battery/memory-aware hysteresis
• TelemetryService: iOS thermal state, battery level, memory polling via MethodChannel
• PerfTrace: JSONL performance trace logger for soak test analysis
• Soak Test Screen: 15-minute automated vision benchmark in demo app
• initVision() and describeImage() APIs
• CameraUtils for BGRA/YUV420 to RGB conversion
• Context indicator (turn count + usage bar) in demo Chat tab
• New Chat button and persona picker in demo app

Changed #

• Upgraded llama.cpp from b4658 to b7952
• XCFramework rebuilt with all symbols including ev_vision_get_last_timings
• Demo app redesigned with dark theme, 3-tab navigation (Chat, Vision, Settings)
• Chat tab rewritten to use ChatSession API (no direct generate() calls)
• All FFI bindings now eager (removed lazy workaround for missing symbols)
• Constrained ffi to <2.1.0 (avoids objective_c simulator crash)

Fixed #

• Xcode 26 debug blank executor: export _main in podspec symbol whitelist
• RuntimePolicy evaluate() de-escalation when pressure improves but persists

Added #

• Core SDK: On-device LLM inference via llama.cpp with Metal GPU on iOS
• Dart FFI: 37 native function bindings via DynamicLibrary.process()
• Streaming: Token-by-token generation with CancelToken cancellation
• Model Management: Download, cache, SHA-256 verify, delete
• Memory Monitoring: RSS tracking, pressure callbacks, configurable limits
• Isolate Safety: All FFI calls in Isolate.run(), persistent StreamingWorker
• XCFramework: Device arm64 + simulator arm64 static library packaging
• Demo App: Chat screen with streaming, model selection, benchmark mode
• Exception Hierarchy: 10 typed exceptions mapped from native error codes