Release Notes Version 1.1

These notes summarize local changes since the last commit.

Highlights

Added a full async pipeline via ShinkaEvolveRunner for concurrent proposal generation and evaluation.
Introduced prompt co-evolution (system prompt archive, prompt mutation, prompt fitness tracking).
Expanded island and parent sampling logic, including dynamic island spawning on stagnation.
Refactored LLM + embedding stack into provider-based modules.
Major WebUI refresh with dashboard + compare views and new API endpoints.

max_api_costs is now a first-class runtime budget guard in evolution runners.
Budget checks use a committed cost model:
- realized DB costs (api_costs, embed_cost, novelty_cost, meta_cost)
- plus estimated cost of in-flight work
Once the budget is reached, new proposals stop and the runner drains ongoing jobs.
If num_generations is omitted, max_api_costs is required to bound the run.

Async runtime and helpers:
- shinka/core/async_runner.py
- shinka/core/async_summarizer.py
- shinka/core/async_novelty_judge.py
- shinka/database/async_dbase.py
Prompt evolution system:
- shinka/core/prompt_evolver.py
- shinka/database/prompt_dbase.py
- shinka/prompts/prompts_prompt_evo.py
Fix-mode prompt path for incorrect-only populations:
- shinka/prompts/prompts_fix.py
Island sampling strategies:
- shinka/database/island_sampler.py (uniform, equal, proportional, weighted)
New plotting modules:
- shinka/plots/plot_costs.py
- shinka/plots/plot_evals.py
- shinka/plots/plot_time.py
- shinka/plots/plot_llm.py
New docs:
- docs/async_evolution.md
- docs/design/dynamic_evolve_markers.md
- docs/design/evaluation_cascades.md
New example:
- examples/game_2048/*

ShinkaEvolveRunner now includes:
- stronger resume behavior (meta memory + bandit state persistence)
- fix-mode sampling fallback when no correct program exists
- richer metadata and cost accounting
Database model expanded with:
- dynamic island spawning controls
- island selection strategy config
- system_prompt_id lineage field
LLM/embedding refactor:
- shinka/llm/models/* replaced by shinka/llm/providers/*
- embeddings moved to shinka/embed/*
Evaluation wrapper (shinka/core/wrap_eval.py) now supports:
- per-run process parallelism via run_workers (with optional max_workers_cap)
- deterministic result ordering and clearer worker/serialization error surfacing
- early stopping (bayesian, ci, hybrid)
  - early stopping remains sequential-only (run_workers=1)
- optional plot artifact generation
- NaN/Inf score guards
WebUI backend and frontend expanded:
- new endpoints for summary/count/details/prompts/stats/plots
- improved WAL retry behavior under active writes
- added shinka/webui/index.html and shinka/webui/compare.html

pyproject.toml updates:
- google-generativeai -> google-genai
- added psutil
- pinned httpx==0.27
- setuptools packaging config updated