fix(piebald): use per-message model instead of chat-level model

[mike1858]

This affects Piebald users only.

Summary by CodeRabbit

Release Notes

• Improvements
  • Enhanced message model attribution to accurately identify and track which model generated each individual message within a conversation, with automatic fallback to the conversation-level model for backward compatibility with previously recorded messages.

[coderabbitai]

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📝 Walkthrough

Walkthrough

Added per-message model tracking to PiebaldMessage with optional model field. Updated SQL query to retrieve the model column and modified assistant message handling to compute model_str using per-message model with fallback to chat-level model.

Changes

Cohort / File(s)	Summary
Per-Message Model Tracking src/analyzers/piebald.rs	Added optional model field to PiebaldMessage struct; updated SQL query to retrieve model column; modified conversion logic for assistant messages to use per-message model with fallback to chat-level model; updated comments to reflect new behavior.

Estimated code review effort

🎯 3 (Moderate) | ⏱️ ~20 minutes

Poem

🐰 A message now carries its model within,
With fallback to chat when the model's been thin,
Per-message precision takes flight,
SQL queries fetch what's right,
Tracking gets richer—how clever! ✨

🚥 Pre-merge checks | ✅ 3

✅ Passed checks (3 passed)

Check name	Status	Explanation
Description Check	✅ Passed	Check skipped - CodeRabbit’s high-level summary is enabled.
Title check	✅ Passed	The title clearly and concisely summarizes the main change: adopting per-message model tracking instead of relying solely on chat-level models.
Docstring Coverage	✅ Passed	Docstring coverage is 100.00% which is sufficient. The required threshold is 80.00%.

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✨ Finishing touches

🧪 Generate unit tests (beta)

• Create PR with unit tests
• Post copyable unit tests in a comment
• Commit unit tests in branch fix/use-actual-model-versus-stated-model-in-piebald-analyzer

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