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v0.50.0: Sliding-window analyzer, updated model defaults
Sliding-window analyzer is now the default for keep analyze. Token-budgeted sliding windows with XML target marking and hash-based dedup across windows — works well with both local and cloud models.
Model-aware context budgets — the analyzer automatically selects the right context budget based on your configured model (3k for llama3.2:3b, 12k for claude-haiku-4.5, etc.)
Updated default models — Anthropic→claude-haiku-4.5, OpenAI→gpt-4.1-mini (best quality/cost from eval)
GPT-5 model support — OpenAI provider handles max_completion_tokens and temperature constraints for GPT-5 family