feat(ml/serving): inject profile features + sort tasks in tip prompt (#79)

- prompts.py: sort tasks overdue-first → priority desc → age desc before
  rendering into the LLM prompt (same ordering as ml/features/context.py)
- prompts.py: render User profile summary line (completion_rate, dismiss_rate,
  preferred_hour) when profile_features are present
- main.py: add profile_features field to PromptContext; plumb from
  GenerateRequest into the prompt builder via model_copy
- logging_config.py: drop add_logger_name processor (incompatible with
  PrintLoggerFactory — caused test ordering failures)
- test_generate.py: 6 new tests covering sort order, profile rendering,
  partial fields, empty profile, and end-to-end plumbing through /generate

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>

ml/serving/logging_config.py

@@ -8,7 +8,6 @@ def configure() -> None:
         processors=[
             structlog.contextvars.merge_contextvars,
             structlog.stdlib.add_log_level,
-            structlog.stdlib.add_logger_name,
             structlog.processors.TimeStamper(fmt="iso"),
             structlog.processors.StackInfoRenderer(),
             structlog.processors.JSONRenderer(),