feat: accept camelCase keys in input TypedDicts

[vdusek]

Summary

Synthesize a <Name>CamelDict sibling for every input TypedDict so users can pass API-shaped dicts (e.g. {'uniqueKey': ..., 'retryCount': ...}) and still satisfy the type checker. The Pydantic alias map extracted from _models.py is the source of truth for the camelCase names; nested TypedDict references in cloned annotations are rewired to their camel variants.

Resource-client signatures in _resource_clients/request_queue.py and the WebhooksList union in _types.py are widened to accept either casing alongside the Pydantic model.

Runtime behavior is unchanged — Pydantic's populate_by_name=True already validates both casings.

Closes #756.

[codecov]

Codecov Report

✅ All modified and coverable lines are covered by tests.
✅ Project coverage is 97.87%. Comparing base (d1bd5a3) to head (b5d9cdf).
⚠️ Report is 2 commits behind head on master.

Additional details and impacted files

@@            Coverage Diff             @@
##           master     #793      +/-   ##
==========================================
+ Coverage   97.73%   97.87%   +0.13%     
==========================================
  Files          48       48              
  Lines        4860     4938      +78     
==========================================
+ Hits         4750     4833      +83     
+ Misses        110      105       -5     

Flag	Coverage Δ
integration	93.98% <100.00%> (+0.32%)	⬆️
unit	86.41% <100.00%> (+0.21%)	⬆️

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[janbuchar]

Well, the code looks pretty much the way I'd expect it to look - not great, not terrible 🙂 Did you test what the DX feels like? I.e., type checking, completions, ...?