feat(models): Allow reliable models and update model selection logic in UI

feat(about): add About tab with project overview, architecture, and links

feat(dependencies): restrict pandas version to <3 to avoid compatibility issues with gradio

Merge pull request #23 from abducodez/feat/universal-commentator

feat(session): finalize run on verdict and enhance leaderboard recording logic

feat(commentary): refine rafters-critic persona and improve commentary prompt for humor

feat(commentary): introduce universal rafters-critic for scenario commentary and cadence control

feat(lab): add roster model defaults merging to preserve user selections for newly added agents

Merge pull request #22 from abducodez/feat/hall-of-fame-leaderboard

feat(show): enhance rafters gallery with stable keys for improved audio handling and component persistence

feat: Add Hall of Fame leaderboard backed by a dedicated results table

feat(rafters): implement navigable gallery for illustrated and spoken beats with improved audio handling

feat(feed): update media rendering to use native components with badges instead of inline tags

feat(media): enhance media request handling with timeout configuration and improved serialization

feat(media): update media configuration for FLUX.2 and VoxCPM2 models with enhanced details

feat(commentator): update cadence logic to use a fixed count instead of per-speaker quorum

feat(media): introduce MediaRouter and stubs for image and speech generation

feat: Update model references to MiniCPM5 and adjust related documentation and tests for transformers 5.x compatibility

Refactor local provider to support on-device loading with accelerate

feat: Enhance telemetry store with revision tracking and optimize UI refresh logic

fix: Update GPU configuration for NVIDIA models to use A100 instead of H200

feat: Add use_cache parameter to support KV cache handling in models and update tests

Refactor local model configurations and update tests

feat: Update model routing and local provider to support multi-sponsor tiers and auto-class resolution

feat: Ensure full materialization of model weights to prevent meta tensor issues in ZeroGPU

feat: Add LFS migration step to workflow for handling binary files in Hugging Face Spaces

feat: Add images and enhance documentation for Field Notes series, improving visual context and clarity

feat: Enhance Secret Keeper's response logic to confirm correct guesses and improve consistency in answers

Add Field Notes series: Parts 2-5 covering scenarios, architecture, and ledger design

feat: Implement early termination for the judge in Twenty Sprouts game and enhance event handling

feat: Enhance color handling and styling across fishbowl components

feat: Add comprehensive state of the engine documentation

feat: Implement audience-only secret badge for Twenty Sprouts game

feat: implement winner celebration overlay and judging mechanics

fix: Update Python version to 3.13 for compatibility with local deploy environment

Refactor modal service and logging setup

feat: Adjust narrator rail feed styling for compactness and fixed height

fix: Ensure proper unpacking of BatchEncoding in model generation to prevent AttributeError

feat: Replace llama.cpp backend with in-process transformers backend for local GPU inference

Implement local in-process inference backend for transformers models

feat: Implement llama.cpp backend for local inference with GGUF models

feat: Add support for `spaces` package and integrate GPU self-test functionality

Refactor code structure for improved readability and maintainability

feat: Handle FP8 KV cache incompatibility with snapshot models in build command

Merge pull request #21 from abducodez/worktree-scenarios

feat: Add FP8 quantization support for model serving with environment overrides

Merge remote-tracking branch 'origin/main' into worktree-scenarios

feat: make every scenario arena-grade with a competition contract

feat: Enhance deployment instructions and update web server label formatting

feat: Implement well-known typed fields for verdicts in output models