feat: updating imports and llm cut off chunking

[TEJASNARAYANS]

What Changed?

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Why?

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How to Test?

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Checklist

• I have read the CONTRIBUTING.md guide.
• My code follows the project's style guidelines.
• I have added tests that prove my fix is effective or my feature works.
• I have updated documentation where needed.

[greptile-apps]

Greptile Summary

This PR improves call imports and long-form LLM diarisation. The main changes are:

• Persists details for source rows skipped during CSV and Excel imports.
• Supports partial imports when some rows have invalid identifiers or recording URLs.
• Adds model-specific output token budgets and clearer truncation errors.
• Expands accepted metric description and example lengths.
• Updates the import details UI and API types for skipped rows.

Confidence Score: 5/5

The updated code appears safe to merge.

• No new blocking issue qualifies for this follow-up review.
• Backend skip details are persisted and serialized consistently.
• Changed imports have compatible module-loading paths.

Important Files Changed

Filename	Overview
app/api/v1/routes/call_imports.py	Adds structured parse results, row-skip tracking, and partial import support.
app/services/call_imports/bulk_ops.py	Persists skipped-row details and marks imports with no usable rows as failed.
app/workers/tasks/helpers/llm_diarisation.py	Adds model-specific output budgets and rejects truncated responses.
frontend/src/pages/callImports/CallImportDetail.tsx	Displays skipped-row information for partial imports and updates diarisation guidance.
app/models/schemas.py	Adds the skipped-row response shape and expands metric text validation limits.

_{Reviews (2): Last reviewed commit: "feat: updating long test inputs" | Re-trigger Greptile}

[greptile-apps]

All-Skipped Details Stay Hidden

When every source row is skipped, materialization stores the row details but sets total_rows to zero. This condition then hides those details, so the failed import does not show which rows and values need correction.

Suggested change

	{(data.source_row_skips?.length ?? 0) > 0 && data.total_rows > 0 && (
	{(data.source_row_skips?.length ?? 0) > 0 && (

Note: If this suggestion doesn't match your team's coding style, reply to this and let me know. I'll remember it for next time!