Smarter summarization coaching & dynamic dataframe renders

[ashenfad]

Note

Enhances event-log summarization and transcript framing, adds token-budget-aware DataFrame rendering across task inputs/outputs, and removes the max_tokens Agent option.

• Agent & Loop:
  • Remove max_tokens from Agent/BaseAgent API and docs.
  • Pass on_event into maybe_summarize_event_log and emit SummaryEvent via callback.
  • Export SummaryEvent in agex/__init__.py.
• Summarization:
  • Stronger system prompt coaching and transcript-based summarization input.
  • Use max_tokens=16384 for summaries; include low-detail threshold in SummaryEvent.
• Rendering:
  • Add DataFrame utilities (is_dataframe, render_dataframe_with_budget) and token_budget support in ValueRenderer to optimize row limits by budget.
  • Apply budget-aware rendering in render_output_parts_full and task input rendering.
  • Ensure DataFrame HTML uses pandas default display settings; SummaryEvent renders markdown → HTML.
• LLM Core:
  • Convert event lists to a single framed transcript string for summarization.
• Docs:
  • Update Agent API and add detailed Event Log Summarization section.
• Tests:
  • Add tests/agex/render/test_dataframe_rendering.py verifying full-row visibility and budget-respecting truncation.

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