[vdusek]

Configuration.actor_pricing_info now holds the apify-client pricing models (FreeActorPricingInfo, FlatPricePerMonthActorPricingInfo, PricePerDatasetItemActorPricingInfo, PayPerEventActorPricingInfo). The SDK subclasses of these models, along with ActorChargeEvent and PricingPerEvent, are removed from apify._charging. They made fields optional that the client requires (apifyMarginPercentage, createdAt, startedAt, trialMinutes, pricePerUnitUsd, unitName, eventDescription), and ty 0.0.86 reports those overrides as invalid.

The platform builds APIFY_ACTOR_PRICING_INFO from the run's pricingInfo and removes only eventDescription from each charge event (getPricingInfoJson() in apify-worker). The env var parser fills a missing eventDescription with an empty string, so event_description is '' where it used to be None. The parser copies a dict passed by the caller before filling it in, and leaves malformed nested values for pydantic to reject. The v4 upgrade guide is updated to match.

The PR also bumps ty from 0.0.84 to 0.0.86 and fixes its other errors:

• @contextmanager / @asynccontextmanager functions return Generator / AsyncGenerator.
• Configuration.model_config is a SettingsConfigDict, and pydantic-settings is now a direct dependency.

✍️ Drafted by Claude Code

[codecov]

Codecov Report

❌ Patch coverage is 93.54839% with 2 lines in your changes missing coverage. Please review.
✅ Project coverage is 93.05%. Comparing base (a0f54b2) to head (5da59b3).

Files with missing lines	Patch %	Lines
src/apify/_configuration.py	91.30%	2 Missing ⚠️

Additional details and impacted files

@@            Coverage Diff             @@
##           master    #1172      +/-   ##
==========================================
- Coverage   93.22%   93.05%   -0.18%     
==========================================
  Files          54       54              
  Lines        3721     3671      -50     
==========================================
- Hits         3469     3416      -53     
- Misses        252      255       +3     

Flag	Coverage Δ
e2e	31.73% <51.61%> (?)
integration	51.70% <54.83%> (-1.03%)	⬇️
unit	89.78% <93.54%> (-0.20%)	⬇️

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[Mantisus]

LGTM

[apify-approval-mirror]

Mirroring approval from @Mantisus.