`vendor_fabric.meshy.tools`¶

Provider capability functions for Meshy AI 3D generation.

This module exposes framework-agnostic Python functions plus capability metadata. Agent framework wrappers belong in agentic-fabric.

Module Contents¶

Classes¶

`Text3dGenerateSchema`	Pydantic schema for the text3d_generate tool.
`Image3dGenerateSchema`	Pydantic schema for the image3d_generate tool.
`RigModelSchema`	Pydantic schema for the rig_model tool.
`ApplyAnimationSchema`	Pydantic schema for the apply_animation tool.
`RetextureModelSchema`	Pydantic schema for the retexture_model tool.
`ListAnimationsSchema`	Pydantic schema for the list_animations tool.
`CheckTaskStatusSchema`	Pydantic schema for the check_task_status tool.
`GetAnimationSchema`	Pydantic schema for the get_animation tool.

Functions¶

`text3d_generate`	Generate a 3D model from text description.
`image3d_generate`	Generate a 3D model from an image.
`rig_model`	Add skeleton/rig to a static 3D model.
`apply_animation`	Apply animation to a rigged model.
`retexture_model`	Apply new textures to an existing model.
`list_animations`	List available animations from the Meshy catalog.
`check_task_status`	Check status of a Meshy task.
`get_animation`	Get details of a specific animation.

Data¶

TOOL_DEFINITIONS

API¶

class vendor_fabric.meshy.tools.Text3dGenerateSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the text3d_generate tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

prompt: str = 'Field(...)'¶

art_style: str = 'Field(...)'¶

negative_prompt: str = 'Field(...)'¶

target_polycount: int = 'Field(...)'¶

enable_pbr: bool = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

class vendor_fabric.meshy.tools.Image3dGenerateSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the image3d_generate tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

image_url: str = 'Field(...)'¶

topology: str = 'Field(...)'¶

target_polycount: int = 'Field(...)'¶

enable_pbr: bool = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

class vendor_fabric.meshy.tools.RigModelSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the rig_model tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_id: str = 'Field(...)'¶

wait: bool = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

class vendor_fabric.meshy.tools.ApplyAnimationSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the apply_animation tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_id: str = 'Field(...)'¶

animation_id: int = 'Field(...)'¶

wait: bool = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

class vendor_fabric.meshy.tools.RetextureModelSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the retexture_model tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_id: str = 'Field(...)'¶

texture_prompt: str = 'Field(...)'¶

enable_pbr: bool = 'Field(...)'¶

wait: bool = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

class vendor_fabric.meshy.tools.ListAnimationsSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the list_animations tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

category: str = 'Field(...)'¶

limit: int = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

class vendor_fabric.meshy.tools.CheckTaskStatusSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the check_task_status tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

task_id: str = 'Field(...)'¶

task_type: str = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

class vendor_fabric.meshy.tools.GetAnimationSchema(/, **data: Any)¶

Bases: pydantic.BaseModel

Pydantic schema for the get_animation tool.

Initialization

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

animation_id: int = 'Field(...)'¶

model_config: ClassVar[pydantic.config.ConfigDict] = 'ConfigDict(...)'¶

classmethod model_fields() → dict[str, pydantic.fields.FieldInfo]¶

classmethod model_computed_fields() → dict[str, pydantic.fields.ComputedFieldInfo]¶

property model_extra: dict[str, Any] | None¶

property model_fields_set: set[str]¶

classmethod model_construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

model_copy(*, update: collections.abc.Mapping[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

model_dump(*, mode: Literal[json, python] | str = 'python', include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → dict[str, Any]¶

model_dump_json(*, indent: int | None = None, ensure_ascii: bool = False, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, context: Any | None = None, by_alias: bool | None = None, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, exclude_computed_fields: bool = False, round_trip: bool = False, warnings: bool | Literal[none, warn, error] = True, fallback: Callable[[Any], Any] | None = None, serialize_as_any: bool = False, polymorphic_serialization: bool | None = None) → str¶

classmethod model_json_schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, schema_generator: type[pydantic.json_schema.GenerateJsonSchema] = GenerateJsonSchema, mode: pydantic.json_schema.JsonSchemaMode = 'validation', *, union_format: Literal[any_of, primitive_type_array] = 'any_of') → dict[str, Any]¶

classmethod model_parametrized_name(params: tuple[type[Any], ...]) → str¶

model_post_init(context: Any, /) → None¶

classmethod model_rebuild(*, force: bool = False, raise_errors: bool = True, _parent_namespace_depth: int = 2, _types_namespace: pydantic._internal._namespace_utils.MappingNamespace | None = None) → bool | None¶

classmethod model_validate(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, from_attributes: bool | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_json(json_data: str | bytes | bytearray, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

classmethod model_validate_strings(obj: Any, *, strict: bool | None = None, extra: pydantic.config.ExtraValues | None = None, context: Any | None = None, by_alias: bool | None = None, by_name: bool | None = None) → typing_extensions.Self¶

dict(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False) → Dict[str, Any]¶

json(*, include: pydantic.main.IncEx | None = None, exclude: pydantic.main.IncEx | None = None, by_alias: bool = False, exclude_unset: bool = False, exclude_defaults: bool = False, exclude_none: bool = False, encoder: Callable[[Any], Any] | None = PydanticUndefined, models_as_dict: bool = PydanticUndefined, **dumps_kwargs: Any) → str¶

classmethod parse_obj(obj: Any) → typing_extensions.Self¶

classmethod parse_raw(b: str | bytes, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod parse_file(path: str | pathlib.Path, *, content_type: str | None = None, encoding: str = 'utf8', proto: pydantic.deprecated.parse.Protocol | None = None, allow_pickle: bool = False) → typing_extensions.Self¶

classmethod from_orm(obj: Any) → typing_extensions.Self¶

classmethod construct(_fields_set: set[str] | None = None, **values: Any) → typing_extensions.Self¶

copy(*, include: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, exclude: pydantic._internal._utils.AbstractSetIntStr | pydantic._internal._utils.MappingIntStrAny | None = None, update: Dict[str, Any] | None = None, deep: bool = False) → typing_extensions.Self¶

classmethod schema(by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE) → Dict[str, Any]¶

classmethod schema_json(*, by_alias: bool = True, ref_template: str = DEFAULT_REF_TEMPLATE, **dumps_kwargs: Any) → str¶

classmethod validate(value: Any) → typing_extensions.Self¶

classmethod update_forward_refs(**localns: Any) → None¶

vendor_fabric.meshy.tools.text3d_generate(prompt: str, art_style: str = 'realistic', negative_prompt: str = '', target_polycount: int = 30000, enable_pbr: bool = True) → extended_data.containers.ExtendedDict¶

Generate a 3D model from text description.

Args: prompt: Detailed text description of the 3D model (max 600 chars) art_style: One of: realistic, sculpture. For ‘sculpture’, set enable_pbr=False as sculpture style generates its own PBR maps. negative_prompt: Things to avoid in the generation target_polycount: Target polygon count enable_pbr: Enable PBR materials. API defaults to False; we default to True for better realistic renders. Set False for sculpture.

Returns: Dict with task_id, status, model_url, and thumbnail_url

vendor_fabric.meshy.tools.image3d_generate(image_url: str, topology: str = '', target_polycount: int = 15000, enable_pbr: bool = True) → extended_data.containers.ExtendedDict¶

Generate a 3D model from an image.

Args: image_url: URL to the source image topology: Mesh topology (“quad” or “triangle”), empty for default target_polycount: Target polygon count enable_pbr: Enable PBR materials

Returns: Dict with task_id, status, model_url, and thumbnail_url

vendor_fabric.meshy.tools.rig_model(model_id: str, wait: bool = True) → extended_data.containers.ExtendedDict¶

Add skeleton/rig to a static 3D model.

Args: model_id: Task ID of the static model to rig wait: Whether to wait for completion (default True)

Returns: Dict with task_id and status

vendor_fabric.meshy.tools.apply_animation(model_id: str, animation_id: int, wait: bool = True) → extended_data.containers.ExtendedDict¶

Apply animation to a rigged model.

Args: model_id: Task ID of the rigged model animation_id: Animation ID from the Meshy catalog (integer) wait: Whether to wait for completion (default True)

Returns: Dict with task_id, status, and glb_url

vendor_fabric.meshy.tools.retexture_model(model_id: str, texture_prompt: str, enable_pbr: bool = True, wait: bool = True) → extended_data.containers.ExtendedDict¶

Apply new textures to an existing model.

Args: model_id: Task ID of the model to retexture texture_prompt: Description of the new texture/appearance enable_pbr: Enable PBR materials wait: Whether to wait for completion (default True)

Returns: Dict with task_id, status, and model_url

vendor_fabric.meshy.tools.list_animations(category: str = '', limit: int = 50) → extended_data.containers.ExtendedDict¶

List available animations from the Meshy catalog.

Args: category: Optional category filter (Fighting, WalkAndRun, etc.) limit: Maximum number of results

Returns: Dict with count, total, and list of animations

vendor_fabric.meshy.tools.check_task_status(task_id: str, task_type: str = 'text-to-3d') → extended_data.containers.ExtendedDict¶

Check status of a Meshy task.

Args: task_id: The Meshy task ID task_type: Task type (text-to-3d, rigging, animation, retexture)

Returns: Dict with status, progress, and model_url if complete

vendor_fabric.meshy.tools.get_animation(animation_id: int) → extended_data.containers.ExtendedDict¶

Get details of a specific animation.

Args: animation_id: The animation ID number

Returns: Dict with animation details

vendor_fabric.meshy.tools.TOOL_DEFINITIONS = None¶

vendor_fabric.meshy.tools¶

Module Contents¶

Classes¶

Functions¶

Data¶

API¶

`vendor_fabric.meshy.tools`¶