docs: remove pydantic v1 references

Author: koxudaxi

README.md

@@ -8,7 +8,6 @@
 [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datamodel-code-generator)](https://pypi.python.org/pypi/datamodel-code-generator)
 [![codecov](https://codecov.io/gh/koxudaxi/datamodel-code-generator/graph/badge.svg?token=plzSSFb9Li)](https://codecov.io/gh/koxudaxi/datamodel-code-generator)
 ![license](https://img.shields.io/github/license/koxudaxi/datamodel-code-generator.svg)
-[![Pydantic v1](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v1.json)](https://pydantic.dev)
 [![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev)
 
 > 📣 💼 Maintainer update: Open to opportunities. 🔗 [koxudaxi.dev](https://koxudaxi.dev/?utm_source=github_readme&utm_medium=top&utm_campaign=open_to_work)
@@ -17,7 +16,7 @@
 
 - 📄 Converts **OpenAPI 3**, **JSON Schema**, **GraphQL**, and raw data (JSON/YAML/CSV) into Python models
 - 🐍 Generates from **existing Python types** (Pydantic, dataclass, TypedDict) via `--input-model`
-- 🎯 Generates **Pydantic v1/v2**, **dataclasses**, **TypedDict**, or **msgspec** output
+- 🎯 Generates **Pydantic v2**, **dataclasses**, **TypedDict**, or **msgspec** output
 - 🔗 Handles complex schemas: `$ref`, `allOf`, `oneOf`, `anyOf`, enums, and nested types
 - ✅ Produces type-safe, validated code ready for your IDE and type checker
 
@@ -161,7 +160,6 @@ class Pet(BaseModel):
 
 ## 📤 Supported Output
 
-- [pydantic v1](https://docs.pydantic.dev/1.10/) BaseModel
 - [pydantic v2](https://docs.pydantic.dev/) BaseModel
 - [pydantic v2](https://docs.pydantic.dev/) dataclass
 - [dataclasses](https://docs.python.org/3/library/dataclasses.html)

action.yml

@@ -15,7 +15,7 @@ inputs:
     description: 'Input file type (openapi, jsonschema, json, yaml, csv, graphql)'
     required: true
   output-model-type:
-    description: 'Output model type (pydantic_v2.BaseModel, pydantic.BaseModel, dataclasses.dataclass, typing.TypedDict, msgspec.Struct)'
+    description: 'Output model type (pydantic_v2.BaseModel, dataclasses.dataclass, typing.TypedDict, msgspec.Struct)'
     required: true
   check:
     description: 'Validate that existing output is up to date (no generation)'

docs/ci-cd.md

@@ -33,7 +33,7 @@ By default, the action runs in **check mode** (`--check`), which validates that
 | `input` | Yes | - | Input schema file or directory |
 | `output` | Yes | - | Output file or directory |
 | `input-file-type` | Yes | - | Input file type (`openapi`, `jsonschema`, `json`, `yaml`, `csv`, `graphql`) |
-| `output-model-type` | Yes | - | Output model type (`pydantic_v2.BaseModel`, `pydantic.BaseModel`, `dataclasses.dataclass`, `typing.TypedDict`, `msgspec.Struct`) |
+| `output-model-type` | Yes | - | Output model type (`pydantic_v2.BaseModel`, `dataclasses.dataclass`, `typing.TypedDict`, `msgspec.Struct`) |
 | `check` | No | `true` | Validate that existing output is up to date (no generation) |
 | `working-directory` | No | `.` | Working directory (where `pyproject.toml` is located) |
 | `profile` | No | - | Named profile from `pyproject.toml` |

docs/cli-reference/manual/profile.md

@@ -28,8 +28,8 @@ file. Each profile can override the default settings with its own set of options
     strict-nullable = true
 
     [tool.datamodel-codegen.profiles.legacy]
-    # Legacy profile for Pydantic v1
-    output-model-type = "pydantic.BaseModel"
+    # Legacy profile
+    output-model-type = "pydantic_v2.BaseModel"
     ```
 
     Use profiles:

docs/cli-reference/utility-options.md

@@ -162,8 +162,8 @@ file. Each profile can override the default settings with its own set of options
     strict-nullable = true
 
     [tool.datamodel-codegen.profiles.legacy]
-    # Legacy profile for Pydantic v1
-    output-model-type = "pydantic.BaseModel"
+    # Legacy profile
+    output-model-type = "pydantic_v2.BaseModel"
     ```
 
     Use profiles:

docs/dynamic-model-generation.md

@@ -280,7 +280,7 @@ assert all(r is results[0] for r in results)
 
 | Limitation | Details |
 |------------|---------|
-| Pydantic v2 only | Pydantic v1 is not supported |
+| Pydantic v2 only | Only Pydantic v2 is supported |
 | Not pickle-able | Use `model_dump()` to serialize instances |
 | Dict input only | Schema must be a `dict`, not a file path or string |
 
@@ -292,7 +292,7 @@ assert all(r is results[0] for r in results)
 | Use case | Code generation, file output | Runtime validation |
 | Caching | No | Yes (configurable) |
 | Thread-safe | Yes | Yes |
-| Pydantic v1 | Yes | No |
+| Pydantic v2 | Yes | Yes |
 
 ## See Also
 

docs/faq.md

@@ -211,7 +211,6 @@ See [Model Reuse and Deduplication](model-reuse.md) for details.
 ### 🤷 Which output model type should I use?
 
 - **Pydantic v2** (`pydantic_v2.BaseModel`): ✨ Recommended for new projects. Better performance and modern API.
-- **Pydantic v1** (`pydantic.BaseModel`): 🔄 Default for backward compatibility with existing codebases.
 - **dataclasses**: Simple data containers without validation.
 - **TypedDict**: Type hints for dict structures.
 - **msgspec**: High-performance serialization.
@@ -223,7 +222,7 @@ See [Output Model Types](what_is_the_difference_between_v1_and_v2.md) for a deta
 datamodel-codegen --output-model-type pydantic_v2.BaseModel ...
 ```
 
-See [Pydantic v1 vs v2](what_is_the_difference_between_v1_and_v2.md) for migration details.
+See [Output Model Types](what_is_the_difference_between_v1_and_v2.md) for more details.
 
 📎 Related: [#803](https://github.com/koxudaxi/datamodel-code-generator/issues/803)
 
@@ -237,9 +236,6 @@ python -c "import pydantic; print(pydantic.VERSION)"
 
 # Generate for Pydantic v2
 datamodel-codegen --output-model-type pydantic_v2.BaseModel ...
-
-# Generate for Pydantic v1
-datamodel-codegen --output-model-type pydantic.BaseModel ...
 ```
 
 ---

docs/index.md

@@ -8,7 +8,6 @@
 [![PyPI - Python Version](https://img.shields.io/pypi/pyversions/datamodel-code-generator)](https://pypi.python.org/pypi/datamodel-code-generator)
 [![codecov](https://codecov.io/gh/koxudaxi/datamodel-code-generator/graph/badge.svg?token=plzSSFb9Li)](https://codecov.io/gh/koxudaxi/datamodel-code-generator)
 ![license](https://img.shields.io/github/license/koxudaxi/datamodel-code-generator.svg)
-[![Pydantic v1](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v1.json)](https://pydantic.dev)
 [![Pydantic v2](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/pydantic/pydantic/main/docs/badge/v2.json)](https://pydantic.dev)
 
 ---
@@ -17,7 +16,7 @@
 
 - 📄 Converts **OpenAPI 3**, **JSON Schema**, **GraphQL**, and raw data (JSON/YAML/CSV) into Python models
 - 🐍 Generates from **existing Python types** (Pydantic, dataclass, TypedDict) via `--input-model`
-- 🎯 Generates **Pydantic v1/v2**, **dataclasses**, **TypedDict**, or **msgspec** output
+- 🎯 Generates **Pydantic v2**, **dataclasses**, **TypedDict**, or **msgspec** output
 - 🔗 Handles complex schemas: `$ref`, `allOf`, `oneOf`, `anyOf`, enums, and nested types
 - ✅ Produces type-safe, validated code ready for your IDE and type checker
 
@@ -65,7 +64,6 @@
 
 !!! warning "Omitting --output-model-type is deprecated"
     Starting from version 0.53.0, omitting `--output-model-type` is deprecated.
-    The implicit default `pydantic.BaseModel` (Pydantic v1) will be removed in a future version.
 
     We recommend using `--output-model-type pydantic_v2.BaseModel` for new projects.
 
@@ -113,9 +111,6 @@ datamodel-codegen --input pet.json --input-file-type jsonschema --output-model-t
 # 🆕 Pydantic v2 (recommended for new projects)
 datamodel-codegen --output-model-type pydantic_v2.BaseModel ...
 
-# 🔄 Pydantic v1 (default, for compatibility)
-datamodel-codegen --output-model-type pydantic.BaseModel ...
-
 # 🏗️ Python dataclasses
 datamodel-codegen --output-model-type dataclasses.dataclass ...