Design question: why not use model metadata for contextWindow + built-in compaction?

[Lynskylate]

Context

I noticed that Bub currently:

1. Has no contextWindow metadata — It doesn't track each model's max context length (unlike pi, where models.json contains contextWindow per model)
2. Has no proactive compaction — It relies entirely on the API returning a context-length error, then does a reactive auto-handoff (anchor-based truncation, retrying once)
3. Uses handoff for truncation, not summarization — When context overflows, older tape entries before the anchor are simply dropped, not summarized

Current behavior

AgentSettings:
  - max_tokens: 16384  (output limit only, not context window)
  
On context overflow:
  - is_context_length_error() regex-matches the API error
  - tape.handoff() creates a new anchor → older messages are silently dropped
  - MAX_AUTO_HANDOFF_RETRIES = 1

Question

Is this by design? Specifically:

1. Model metadata: any-llm-sdk doesn't appear to expose contextWindow for providers/models. Is there a plan to add this? Or is the philosophy that Bub should be model-agnostic and not rely on hardcoded limits?

2. Built-in compaction: Would the project consider built-in summarization-based compaction (like pi's /compact), or is the anchor-based handoff considered sufficient? The current approach drops history rather than preserving it in compressed form.

3. Prevention vs recovery: Is the preference for "try first, recover on error" over "track context usage proactively"? The latter would allow Bub to trim/compact before hitting the API limit.

I'm happy to contribute if there's alignment on a direction. Thanks!