Pydantic Migration Guides

How to replace validate_arguments with validate_call in Pydantic v2

Fix validate_arguments migrations and keep the rewrite narrow enough to stay deterministic.

Start here

The safe first move

The direct decorator rename is validate_call. Stop when the decorator is wrapped or aliased.

Stop before automation when: Aliased decorator imports. Decorator wrappers.

Target shape

from pydantic import validate_call

@validate_call
def create_user(email: str, age: int) -> None:
    ...

Repo fit check

Want to know if your repo has this pattern?

Run the matching scanner locally first. Read the free findings and manual alternatives; consider paid cleanup only if supported patterns repeat enough to justify the price.

  • Local scan; no repository upload.
  • Supported findings are separated from manual-review findings.
  • Buy only when the repeated pattern is worth automating.
Run the Pydantic scan first View example report See when to buy
Example scan summary
supported_findings: 38
manual_review_findings: 6
files_uploaded: 0
confidence: reviewable

Why this page exists

How to replace validate_arguments with validate_call in Pydantic v2

This is a clean decorator migration when the import path is direct and the decorator is bare.

Direct answer

What changes

The direct decorator rename is validate_call. Stop when the decorator is wrapped or aliased.

Example

Before and after

Before

from pydantic import validate_arguments

@validate_arguments
def create_user(email: str, age: int) -> None:
    ...

After

from pydantic import validate_call

@validate_call
def create_user(email: str, age: int) -> None:
    ...

Decision path

If this repeats across the repo, open the evaluation pages next.

The cleanup pack is strongest when the repo still uses direct pydantic imports and a clean validator/settings/config subset.

  • The repo has direct pydantic or pydantic.v1 imports, BaseSettings usage, safe Config blocks, or simple validators.
  • The migration pain is repetitive v1-to-v2 cleanup, not a custom semantic rewrite.
  • If the scan output is ambiguous, review its findings and upstream guidance. Do not buy expecting unsupported cases to be resolved.

Typical symptoms

  • Decorators still use validate_arguments after the v2 bump.
  • Teams want the easy decorator rename handled automatically.
  • Migration should stop if the decorator is wrapped or aliased.

What the product covers

  • Direct validate_arguments to validate_call rewrites.
  • Reporting for exactly where the decorator still appears.
  • Links to the other direct-import Pydantic pages.

Manual-review boundary

  • Aliased decorator imports.
  • Decorator wrappers.
  • Files bundled with unsupported validator signatures.

FAQ

Fast answers before you decide

What is the safest fix for validate_arguments validate_call pydantic v2?

The direct decorator rename is validate_call. Stop when the decorator is wrapped or aliased.

Can validate_arguments validate_call pydantic v2 be automated?

Automate only the supported subset: Direct validate_arguments to validate_call rewrites. Reporting for exactly where the decorator still appears. Links to the other direct-import Pydantic pages. Keep these cases in manual review: Aliased decorator imports. Decorator wrappers. Files bundled with unsupported validator signatures.

When should I buy Pydantic v1 to v2 Migration Cleanup Pack?

Use Pydantic v1 to v2 Migration Cleanup Pack only when this pattern repeats across enough files that manual cleanup is still costly. Use the free report and upstream guide to evaluate fit. Buy only if repeated supported edits justify the price; no paid assessment is required.

Purchase fit

Choose the lowest-risk next step.

One matching page is not enough by itself. Run the local scan, then buy only when the same supported pattern appears often enough to matter.

Buy if

  • The repo has direct pydantic or pydantic.v1 imports, BaseSettings usage, safe Config blocks, or simple validators.
  • The migration pain is repetitive v1-to-v2 cleanup, not a custom semantic rewrite.
  • The team accepts manual-review findings for alias-heavy imports and signature-heavy validators.

What the workflow includes

  • Installable local CLI workflow, not a hosted black box.
  • Supported validator, settings, import, and config rewrites.
  • Demo report, public proof, coverage notes, rollback checklist, and buyer terms.

Before checkout

  • Stripe Checkout handles secure payment and receipts.
  • Download your purchased ZIP after payment.
  • Runs locally; no hosted API, repo upload, or production credentials needed.
  • The free report includes the evidence needed to evaluate fit. Paid summary and template add-ons are optional.
  • 14-day refund review for published-scope or delivery mismatches.