diff --git a/fastapi_querybuilder/__init__.py b/fastapi_querybuilder/__init__.py
index 5feb42e..4f2a88f 100644
--- a/fastapi_querybuilder/__init__.py
+++ b/fastapi_querybuilder/__init__.py
@@ -1,5 +1,6 @@
-from .dependencies import QueryBuilder
-from .params import QueryParams
 from .builder import build_query
+from .dependencies import QueryBuilder
+from .fields import SchemaConfig
+from .params import QueryParams, QueryParamsConfigDict
 
-__all__ = ["QueryBuilder", "QueryParams", "build_query"]
+__all__ = ["QueryBuilder", "QueryParams", "build_query", "SchemaConfig", "QueryParamsConfigDict"]
diff --git a/fastapi_querybuilder/builder.py b/fastapi_querybuilder/builder.py
index dcedbf0..b5dfa08 100644
--- a/fastapi_querybuilder/builder.py
+++ b/fastapi_querybuilder/builder.py
@@ -1,26 +1,32 @@
-from sqlalchemy import cast, select, or_, asc, desc, String, Enum
 from fastapi import HTTPException
-from .core import parse_filter_query, parse_filters, resolve_and_join_column
+from sqlalchemy import Enum, String, asc, cast, desc, or_, select
+from sqlalchemy.orm import DeclarativeBase
+from sqlalchemy.sql.elements import KeyedColumnElement
 
+from .core import parse_filters, resolve_and_join_column
+from .params import QueryParams
 
-def build_query(cls, params):
-    if hasattr(cls, 'deleted_at'):
+
+def build_query(cls: type[DeclarativeBase], params: QueryParams):
+    if hasattr(cls, "deleted_at"):
         query = select(cls).where(cls.deleted_at.is_(None))
     else:
         query = select(cls)
 
     # Filters
-    parsed_filters = parse_filter_query(params.filters)
-    if parsed_filters:
-        filter_expr, query = parse_filters(cls, parsed_filters, query)
+    if params.filters:
+        filter_expr, query = parse_filters(cls, params.filters, query, params.get_schema().filterable_fields)
         if filter_expr is not None:
             query = query.where(filter_expr)
 
-    # Search - ONLY in safe columns
+    # Search - restricted to schema.searchable_fields
     if params.search:
         search_expr = []
-        
+        allowed_search = set(params.get_schema().searchable_fields)
+
         for column in cls.__table__.columns:
+            if column.key not in allowed_search:
+                continue
             if is_enum_column(column):
                 search_expr.append(cast(column, String).ilike(f"%{params.search}%"))
             elif is_string_column(column):
@@ -37,42 +43,36 @@ def build_query(cls, params):
 
     # Sorting
     if params.sort:
-        try:
-            sort_field, sort_dir = params.sort.split(":")
-        except ValueError:
-            sort_field, sort_dir = params.sort, "asc"
-
-        column = getattr(cls, sort_field, None)
-        if column is None:
-            nested_keys = sort_field.split(".")
-            if len(nested_keys) > 1:
-                joins = {}
-                column, query = resolve_and_join_column(
-                    cls, nested_keys, query, joins)
-            else:
-                raise HTTPException(
-                    status_code=400, detail=f"Invalid sort field: {sort_field}")
-
-        query = query.order_by(
-            asc(column) if sort_dir.lower() == "asc" else desc(column))
+        for sort_field in params.sort:
+            column = getattr(cls, sort_field.field, None)
+            if column is None:
+                nested_keys = sort_field.field.split(".")
+                if len(nested_keys) > 1:
+                    joins = {}
+                    column, query = resolve_and_join_column(cls, nested_keys, query, joins)
+                else:
+                    raise HTTPException(status_code=400, detail=f"Invalid sort field: {sort_field}")
+
+            query = query.order_by(asc(column) if sort_field.direction.lower() == "asc" else desc(column))
 
     return query
 
-def is_enum_column(column):
+
+def is_enum_column(column: KeyedColumnElement):
     """Check if a column is an enum type"""
     return isinstance(column.type, Enum)
 
 
-def is_string_column(column):
+def is_string_column(column: KeyedColumnElement):
     """Check if a column is a string type"""
     return isinstance(column.type, String)
 
 
-def is_integer_column(column):
+def is_integer_column(column: KeyedColumnElement):
     """Check if a column is an integer type"""
     return hasattr(column.type, "python_type") and column.type.python_type is int
 
 
-def is_boolean_column(column):
+def is_boolean_column(column: KeyedColumnElement):
     """Check if a column is a boolean type"""
     return hasattr(column.type, "python_type") and column.type.python_type is bool
diff --git a/fastapi_querybuilder/core.py b/fastapi_querybuilder/core.py
index c2c27e4..242ef68 100644
--- a/fastapi_querybuilder/core.py
+++ b/fastapi_querybuilder/core.py
@@ -1,18 +1,23 @@
 # app/filters/core.py
 
+from typing import Any, Optional
+
 from fastapi import HTTPException
-from sqlalchemy.orm import RelationshipProperty, aliased
+from sqlalchemy.orm import DeclarativeBase, InstrumentedAttribute, RelationshipProperty, aliased
 from sqlalchemy.sql import Select, and_
-from typing import Any, Optional, Dict, Tuple
-import json
-from .operators import LOGICAL_OPERATORS, COMPARISON_OPERATORS
 
-def resolve_and_join_column(model, nested_keys: list[str], query: Select, joins: dict) -> Tuple[Any, Select]:
+from .operators import COMPARISON_OPERATORS, LOGICAL_OPERATORS, Operator
+from .params import FilterSchema
+
+
+def resolve_and_join_column(
+    model: DeclarativeBase, nested_keys: list[str], query: Select, joins: dict
+) -> tuple[InstrumentedAttribute[Any], Select]:
     current_model = model
     alias = None
 
     for i, attr in enumerate(nested_keys):
-        relationship = getattr(current_model, attr, None)
+        relationship: InstrumentedAttribute[Any] = getattr(current_model, attr, None)
 
         if relationship is not None and isinstance(relationship.property, RelationshipProperty):
             related_model = relationship.property.mapper.class_
@@ -30,27 +35,22 @@ def resolve_and_join_column(model, nested_keys: list[str], query: Select, joins:
             raise HTTPException(
                 status_code=400,
                 detail=f"Invalid filter key: {'.'.join(nested_keys)}. "
-                f"Could not resolve attribute '{attr}' in model '{current_model.__name__}'."
+                f"Could not resolve attribute '{attr}' in model '{current_model.__name__}'.",
             )
-    raise HTTPException(
-        status_code=400,
-        detail=f"Could not resolve relationship for {'.'.join(nested_keys)}."
-    )
+    raise HTTPException(status_code=400, detail=f"Could not resolve relationship for {'.'.join(nested_keys)}.")
 
 
-def parse_filters(model, filters: dict, query: Select) -> Tuple[Optional[Any], Select]:
+def parse_filters(
+    model, filters: FilterSchema, query: Select, allowed_fields: set[str]
+) -> tuple[Optional[Any], Select]:
     expressions = []
     joins = {}
 
-    if not isinstance(filters, dict):
-        raise HTTPException(
-            status_code=400, detail="Filters must be a dictionary")
-
-    for key, value in filters.items():
+    filter_dict = filters.root
+    for key, value in filter_dict.items():
         if key in LOGICAL_OPERATORS:
             if not isinstance(value, list):
-                raise HTTPException(
-                    status_code=400, detail=f"Logical operator '{key}' must be a list")
+                raise HTTPException(status_code=400, detail=f"Logical operator '{key}' must be a list")
             sub_expressions = []
             for sub_filter in value:
                 sub_expr, query = parse_filters(model, sub_filter, query)
@@ -61,37 +61,18 @@ def parse_filters(model, filters: dict, query: Select) -> Tuple[Optional[Any], S
 
         elif isinstance(value, dict):
             nested_keys = key.split(".")
-            column, query = resolve_and_join_column(
-                model, nested_keys, query, joins)
+            column, query = resolve_and_join_column(model, nested_keys, query, joins)
             for operator, operand in value.items():
                 if operator not in COMPARISON_OPERATORS:
-                    raise HTTPException(
-                        status_code=400, detail=f"Invalid operator '{operator}' for field '{key}'")
+                    raise HTTPException(status_code=400, detail=f"Invalid operator '{operator}' for field '{key}'")
                 try:
-                    if operator in ["$isempty", "$isnotempty"]:
-                        expressions.append(
-                            COMPARISON_OPERATORS[operator](column))
+                    if operator in {Operator.ISNOTEMPTY, Operator.ISEMPTY}:
+                        expressions.append(COMPARISON_OPERATORS[operator](column))
                     else:
-                        expressions.append(
-                            COMPARISON_OPERATORS[operator](column, operand))
+                        expressions.append(COMPARISON_OPERATORS[operator](column, operand))
                 except Exception as e:
-                    raise HTTPException(
-                        status_code=400, detail=f"Error filtering '{key}': {e}")
+                    raise HTTPException(status_code=400, detail=f"Error filtering '{key}': {e}")
         else:
-            raise HTTPException(
-                status_code=400, detail=f"Invalid filter format for key '{key}': {value}")
+            raise HTTPException(status_code=400, detail=f"Invalid filter format for key '{key}': {value}")
 
     return and_(*expressions) if expressions else None, query
-
-
-def parse_filter_query(filters: Optional[str]) -> Optional[Dict]:
-    if not filters:
-        return None
-    try:
-        parsed = json.loads(filters)
-        if not isinstance(parsed, dict):
-            raise ValueError("Filters must be a JSON object")
-        return parsed
-    except Exception as e:
-        raise HTTPException(
-            status_code=400, detail=f"Invalid filter JSON: {e}")
diff --git a/fastapi_querybuilder/dependencies.py b/fastapi_querybuilder/dependencies.py
index f1355c3..650a9d7 100644
--- a/fastapi_querybuilder/dependencies.py
+++ b/fastapi_querybuilder/dependencies.py
@@ -1,15 +1,55 @@
 # fastapi_querybuilder/dependencies.py
 
-from fastapi import Depends, Request
+from fastapi import Depends, HTTPException, Query, Request
+from pydantic import ValidationError
+
+from .fields import SchemaConfig
 from .params import QueryParams
+
 from .builder import build_query
-from typing import Type
 
 
-def QueryBuilder(model: Type):
-    def wrapper(
-        request: Request,
-        params: QueryParams = Depends()
-    ):
-        return build_query(model, params)
+def _parse_errors(e: ValidationError):
+    # Ensure the error structure is compatible with FastAPI's expected format
+    return [
+        {"type": error["type"], "loc": error["loc"], "msg": error["msg"]}
+        for error in e.errors(include_context=False, include_url=False, include_input=False)
+    ]
+
+
+def filter_params(cls: type[QueryParams]):
+    def get(
+        filters: str | None = Query(
+            default=None,
+            description="Filtro en formato de string JSON.",
+            example='{"$and": [{"active": {"$eq": true}}, {"role": {"$eq": "admin"}}, {"age": {"$gte": 30, "$lt": 50}}]}',
+        ),
+        sort: str | None = Query(
+            default=None,
+            description="e.g. name:asc,phone:desc or user.email:desc",
+            example="name:asc,age:desc",
+        ),
+        search: str | None = Query(
+            default=None,
+            description="Una cadena para búsqueda global a través de campos de cadena.",
+            example="developer",
+        ),
+    ) -> type[QueryParams]:
+        try:
+            return cls(filters=filters, sort=sort, search=search)
+        except ValidationError as e:
+            raise HTTPException(status_code=422, detail=_parse_errors(e))
+
+    return get
+
+
+def QueryBuilder(query_params: type[QueryParams] = QueryParams):
+    def wrapper(request: Request, params: QueryParams = Depends(filter_params(query_params))):
+        schema_config: SchemaConfig = query_params.model_config.get("schema_config")
+        model = query_params.model_config.get("sqla_model")
+        return build_query(
+            model or schema_config.model,
+            params,
+        )
+
     return Depends(wrapper)
diff --git a/fastapi_querybuilder/fields.py b/fastapi_querybuilder/fields.py
new file mode 100644
index 0000000..a78d995
--- /dev/null
+++ b/fastapi_querybuilder/fields.py
@@ -0,0 +1,206 @@
+from collections.abc import Sequence
+from dataclasses import dataclass
+from enum import StrEnum
+from typing import Optional
+
+from pydantic import BaseModel, Field
+from sqlalchemy import ColumnElement, inspect
+from sqlalchemy.orm import DeclarativeBase, DeclarativeMeta
+from sqlalchemy.types import Boolean, Date, DateTime, Float, Integer, Numeric, String, Text
+
+from .operators import Operator
+
+
+class OperatorInfo(BaseModel):
+    name: Operator = Field(..., description="The comparison operator, e.g., '$eq'")
+    description: str = Field(..., description="A human-readable description.")
+
+
+class FieldInfo(BaseModel):
+    name: str = Field(..., description="The name of the field.")
+    type: str = Field(..., description="The general data type (string, number, boolean, datetime).")
+    operators: list[OperatorInfo] = Field(..., description="List of valid operators for this field.")
+
+
+class QueryParamsSchemaResponse(BaseModel):
+    filterable_fields: list[FieldInfo] = Field(..., description="Fields that can be used in filters.")
+    sortable_fields: list[str] = Field(..., description="Fields that can be sorted.")
+    searchable_fields: list[str] = Field(..., description="Text fields that can be searched.")
+
+
+@dataclass
+class SchemaConfig:
+    model: type[DeclarativeMeta | DeclarativeBase]  # Should be a SQLAlchemy DeclarativeBase subclass
+    only: Optional[Sequence[str]] = None
+    exclude: Optional[Sequence[str]] = None
+
+
+class ColumnTypeCategory(StrEnum):
+    STRING = "string"
+    NUMBER = "number"
+    BOOLEAN = "boolean"
+    DATETIME = "datetime"
+
+
+OPERATORS = {
+    ColumnTypeCategory.STRING: [
+        OperatorInfo(name=Operator.EQ, description="Equal to"),
+        OperatorInfo(name=Operator.NE, description="Not equal to"),
+        OperatorInfo(name=Operator.IN, description="Is in the list"),
+        OperatorInfo(name=Operator.CONTAINS, description="Contains the text"),
+        OperatorInfo(name=Operator.STARTSWITH, description="Starts with"),
+        OperatorInfo(name=Operator.ENDSWITH, description="Ends with"),
+    ],
+    ColumnTypeCategory.NUMBER: [
+        OperatorInfo(name=Operator.EQ, description="Equal to"),
+        OperatorInfo(name=Operator.NE, description="Not equal to"),
+        OperatorInfo(name=Operator.GT, description="Greater than"),
+        OperatorInfo(name=Operator.GTE, description="Greater than or equal to"),
+        OperatorInfo(name=Operator.LT, description="Less than"),
+        OperatorInfo(name=Operator.LTE, description="Less than or equal to"),
+        OperatorInfo(name=Operator.IN, description="Is in the list"),
+    ],
+    ColumnTypeCategory.BOOLEAN: [
+        OperatorInfo(name=Operator.EQ, description="Equal to"),
+        OperatorInfo(name=Operator.NE, description="Not equal to"),
+    ],
+    ColumnTypeCategory.DATETIME: [
+        OperatorInfo(name=Operator.EQ, description="Exact date"),
+        OperatorInfo(name=Operator.NE, description="Not the exact date"),
+        OperatorInfo(name=Operator.GT, description="After"),
+        OperatorInfo(name=Operator.GTE, description="Greater than or equal to"),
+        OperatorInfo(name=Operator.LT, description="Before"),
+        OperatorInfo(name=Operator.LTE, description="Until"),
+    ],
+}
+
+
+class SchemaGenerator:
+    def __init__(self, config: SchemaConfig):
+        self.config = config
+        self.inspector = inspect(self.config.model)
+
+    @staticmethod
+    def _parse_scoped_list(items: Optional[list[str]]) -> dict[str, set[str]]:
+        """Parse a list of strings that may contain scoped prefixes.
+
+        Supported prefixes (case-insensitive):
+          - filter:field
+          - search:field
+          - sort:field (alias: order:field)
+
+        Items without a prefix apply globally to all capabilities.
+        Returns a dict with keys: 'global', 'filter', 'sort', 'search'.
+        """
+        scopes = {"global": set(), "filter": set(), "sort": set(), "search": set()}
+        if not items:
+            return scopes
+        for raw in items:
+            if not isinstance(raw, str):
+                continue
+            s = raw.strip()
+            if ":" in s:
+                prefix, name = s.split(":", 1)
+                field = name.strip()
+                p = prefix.strip().lower()
+                if p == "order":
+                    p = "sort"
+                if p in {"filter", "sort", "search"} and field:
+                    scopes[p].add(field)
+                else:
+                    # Unrecognized prefix -> treat whole item as a global field name
+                    scopes["global"].add(s)
+            elif s:
+                scopes["global"].add(s)
+        return scopes
+
+    def _get_column_type_category(self, column: ColumnElement) -> Optional[ColumnTypeCategory]:
+        if isinstance(column.type, (String, Text)):
+            return ColumnTypeCategory.STRING
+        if isinstance(column.type, (Integer, Float, Numeric)):
+            return ColumnTypeCategory.NUMBER
+        if isinstance(column.type, Boolean):
+            return ColumnTypeCategory.BOOLEAN
+        if isinstance(column.type, (Date, DateTime)):
+            return ColumnTypeCategory.DATETIME
+        return None
+
+    def _get_fields_to_process(self) -> set[str]:
+        all_columns = {c.name for c in self.inspector.columns}
+        all_columns |= {r.key for r in self.inspector.relationships}
+
+        only_scoped = self._parse_scoped_list(self.config.only)
+        exclude_scoped = self._parse_scoped_list(self.config.exclude)
+
+        # Apply ONLY and EXCLUDE at the global level first
+        fields = set(all_columns)
+        if only_scoped["global"]:
+            fields &= only_scoped["global"]
+        if exclude_scoped["global"]:
+            fields -= exclude_scoped["global"]
+        return fields
+
+    @staticmethod
+    def _apply_only_exclude(base: set[str], only: set[str] | None, exclude: set[str] | None) -> set[str]:
+        fields = set(base)
+        if only:
+            fields &= set(only)
+        if exclude:
+            fields -= set(exclude)
+        return fields
+
+    def generate(self) -> QueryParamsSchemaResponse:
+        # Base fields after applying global scoped only/exclude
+        base_fields = self._get_fields_to_process()
+
+        # Scoped controls
+        only_scoped = self._parse_scoped_list(self.config.only)
+        exclude_scoped = self._parse_scoped_list(self.config.exclude)
+
+        filter_names = self._apply_only_exclude(
+            base_fields, only_scoped["filter"], exclude_scoped["filter"]
+        )
+        sort_names = self._apply_only_exclude(
+            base_fields, only_scoped["sort"], exclude_scoped["sort"]
+        )
+        search_names = self._apply_only_exclude(
+            base_fields, only_scoped["search"], exclude_scoped["search"]
+        )
+        search_scoped = bool(only_scoped["search"] or exclude_scoped["search"])  # Did user provide scoped search?
+
+        filterable_fields: list[FieldInfo] = []
+        sortable_fields: list[str] = []
+        searchable_fields: list[str] = []
+
+        for field_name in sorted(list(base_fields)):
+            if field_name not in self.inspector.columns:
+                continue
+
+            column = self.inspector.columns[field_name]
+            type_category = self._get_column_type_category(column)
+
+            if not type_category:
+                continue
+
+            if field_name in filter_names:
+                available_operators = OPERATORS.get(type_category, [])
+                filterable_fields.append(
+                    FieldInfo(name=field_name, type=type_category, operators=available_operators)
+                )
+            if field_name in sort_names:
+                sortable_fields.append(field_name)
+            # Search list:
+            # - If user provided scoped search, honor it for any column type.
+            # - If not, include all columns and let the query builder decide
+            #   which types are safe to search (string/enum/int/bool).
+            if search_scoped:
+                if field_name in search_names:
+                    searchable_fields.append(field_name)
+            else:
+                searchable_fields.append(field_name)
+
+        return QueryParamsSchemaResponse(
+            filterable_fields=filterable_fields,
+            sortable_fields=sortable_fields,
+            searchable_fields=searchable_fields,
+        )
diff --git a/fastapi_querybuilder/operators.py b/fastapi_querybuilder/operators.py
index 512124d..ccbb0a3 100644
--- a/fastapi_querybuilder/operators.py
+++ b/fastapi_querybuilder/operators.py
@@ -1,70 +1,123 @@
-# app/filters/operators.py
+from enum import StrEnum
+from typing import Any
 
-from sqlalchemy import and_, or_
+from sqlalchemy import ColumnElement, ColumnExpressionArgument, and_, or_
 from sqlalchemy.sql import operators
-from .utils import _adjust_date_range
 
-LOGICAL_OPERATORS = {
-    "$and": and_,
-    "$or": or_
-}
+from .utils import adjust_date_range
+
+
+class Operator(StrEnum):
+    # Logical Operators
+    AND = "$and"
+    OR = "$or"
+    NOT = "$not"
+    # Comparison Operators
+    EQ = "$eq"
+    NE = "$ne"
+    GT = "$gt"
+    GTE = "$gte"
+    LT = "$lt"
+    LTE = "$lte"
+    IN = "$in"
+    CONTAINS = "$contains"
+    NCONTAINS = "$ncontains"
+    STARTSWITH = "$startswith"
+    ENDSWITH = "$endswith"
+    ISNOTEMPTY = "$isnotempty"
+    ISEMPTY = "$isempty"
+    ISANYOF = "$isanyof"
+
+
+def _not_operator(column: ColumnExpressionArgument):
+    return ~column
 
 
-def _eq_operator(column, value):
+def _eq_operator(column: ColumnElement[Any], value):
     if value == "":
         return column.is_(None)
-    adjusted_value, is_range = _adjust_date_range(column, value, "$eq")
+    adjusted_value, is_range = adjust_date_range(column, value, Operator.EQ)
     if adjusted_value is not None and is_range is not None:
         return adjusted_value if is_range else column == adjusted_value
     return column == value
 
 
-def _ne_operator(column, value):
+def _ne_operator(column: ColumnElement[Any], value):
     if value == "":
         return column.is_not(None)
-    adjusted_value, is_range = _adjust_date_range(column, value, "$ne")
+    adjusted_value, is_range = adjust_date_range(column, value, Operator.NE)
     if adjusted_value is not None and is_range is not None:
         return adjusted_value if is_range else column != adjusted_value
     return column != value
 
 
-def _gt_operator(column, value):
-    return operators.gt(column, _adjust_date_range(column, value, "$gt")[0])
+def _gt_operator(column: ColumnElement[Any], value):
+    return operators.gt(column, adjust_date_range(column, value, Operator.GT)[0])
+
+
+def _gte_operator(column: ColumnElement[Any], value):
+    return operators.ge(column, adjust_date_range(column, value, Operator.GTE)[0])
+
+
+def _lt_operator(column: ColumnElement[Any], value):
+    return operators.lt(column, adjust_date_range(column, value, Operator.LT)[0])
+
+
+def _lte_operator(column: ColumnElement[Any], value):
+    return operators.le(column, adjust_date_range(column, value, Operator.LTE)[0])
 
 
-def _gte_operator(column, value):
-    return operators.ge(column, _adjust_date_range(column, value, "$gte")[0])
+def _isanyof_operator(column: ColumnElement[Any], value: list):
+    return or_(*[adjust_date_range(column, v, Operator.EQ)[0] if isinstance(v, str) else column == v for v in value])
 
 
-def _lt_operator(column, value):
-    return operators.lt(column, _adjust_date_range(column, value, "$lt")[0])
+def _in_operator(column: ColumnElement[Any], value: list):
+    return column.in_(value)
 
 
-def _lte_operator(column, value):
-    return operators.le(column, _adjust_date_range(column, value, "$lte")[0])
+def _contains_operator(column: ColumnElement[Any], value):
+    return column.ilike(f"%{value}%")
 
 
-def _isanyof_operator(column, value):
-    return or_(*[
-        _adjust_date_range(column, v, "$eq")[
-            0] if isinstance(v, str) else column == v
-        for v in value
-    ])
+def _ncontains_operator(column: ColumnElement[Any], value):
+    return ~column.ilike(f"%{value}%")
 
 
+def _startswith_operator(column: ColumnElement[Any], value):
+    return column.ilike(f"{value}%")
+
+
+def _endswith_operator(column: ColumnElement[Any], value):
+    return column.ilike(f"%{value}")
+
+
+def _isnotempty_operator(column: ColumnElement[Any]):
+    return column.is_not(None)
+
+
+def _isempty_operator(column: ColumnElement[Any]):
+    return column.is_(None)
+
+
+LOGICAL_OPERATORS = {
+    Operator.AND: and_,
+    Operator.OR: or_,
+    Operator.NOT: _not_operator,
+}
+
 COMPARISON_OPERATORS = {
-    "$eq": _eq_operator,
-    "$ne": _ne_operator,
-    "$gt": _gt_operator,
-    "$gte": _gte_operator,
-    "$lt": _lt_operator,
-    "$lte": _lte_operator,
-    "$in": lambda column, value: column.in_(value),
-    "$contains": lambda column, value: column.ilike(f"%{value}%"),
-    "$ncontains": lambda column, value: ~column.ilike(f"%{value}%"),
-    "$startswith": lambda column, value: column.ilike(f"{value}%"),
-    "$endswith": lambda column, value: column.ilike(f"%{value}"),
-    "$isnotempty": lambda column: column.is_not(None),
-    "$isempty": lambda column: column.is_(None),
-    "$isanyof": _isanyof_operator,
+    Operator.EQ: _eq_operator,
+    Operator.NE: _ne_operator,
+    Operator.GT: _gt_operator,
+    Operator.GTE: _gte_operator,
+    Operator.LT: _lt_operator,
+    Operator.LTE: _lte_operator,
+    Operator.IN: _in_operator,
+    Operator.CONTAINS: _contains_operator,
+    Operator.NCONTAINS: _ncontains_operator,
+    Operator.STARTSWITH: _startswith_operator,
+    Operator.ENDSWITH: _endswith_operator,
+    Operator.ISNOTEMPTY: _isnotempty_operator,
+    Operator.ISEMPTY: _isempty_operator,
+    Operator.ISANYOF: _isanyof_operator,
 }
diff --git a/fastapi_querybuilder/params.py b/fastapi_querybuilder/params.py
index aa5101c..bd3261d 100644
--- a/fastapi_querybuilder/params.py
+++ b/fastapi_querybuilder/params.py
@@ -1,16 +1,302 @@
-# fastapi_querybuilder/params.py
+from typing import Any, ClassVar, Literal, Optional, TypeAlias
 
-from typing import Optional
+import orjson
 from fastapi import Query
+from pydantic import (
+    BaseModel,
+    ConfigDict,
+    Field,
+    RootModel,
+    TypeAdapter,
+    ValidationError,
+    ValidationInfo,
+    field_validator,
+    model_validator,
+)
+from pydantic_core import InitErrorDetails
+from sqlalchemy import inspect
+from sqlalchemy.orm import DeclarativeBase, DeclarativeMeta
 
+from .fields import FieldInfo, QueryParamsSchemaResponse, SchemaConfig, SchemaGenerator
+from .operators import Operator
 
-class QueryParams:
-    def __init__(
-        self,
-        filters: Optional[str] = Query(None,description="A JSON string representing filter conditions."),
-        sort: Optional[str] = Query(None,description="e.g. name:asc or user__email:desc"),
-        search: Optional[str] = Query(None,description="A string for global search across string fields.")
-    ):
-        self.filters = filters
-        self.search = search
-        self.sort = sort
+LOGICAL_OPERATORS = {Operator.AND, Operator.OR, Operator.NOT}
+COMPARISON_OPERATORS = {op for op in Operator if op not in LOGICAL_OPERATORS}
+LIST_BASED_OPERATORS = {Operator.IN, Operator.ISANYOF}
+
+
+def _validate_field_path(model: type[DeclarativeBase], path: str, errors: list[dict] | None = None) -> bool:
+    parts = path.split(".")
+    current_model = model
+    for i, part in enumerate(parts):
+        is_last_part = i == len(parts) - 1
+        current_inspector = inspect(current_model)
+        if part in current_inspector.columns:
+            if not is_last_part:
+                error_msg = f"The field '{part}' in the path '{path}' is a column and cannot have more relationships."
+                if errors is not None:
+                    errors.append(InitErrorDetails(loc=(path,), type="value_error", ctx={"error": error_msg}))
+                    return False
+                else:
+                    raise ValueError(error_msg)
+            return True
+        elif part in current_inspector.relationships:
+            if is_last_part:
+                error_msg = (
+                    f"The path '{path}' cannot end in a relationship. It must point to a column (e.g. '{path}.id')."
+                )
+                if errors is not None:
+                    errors.append(InitErrorDetails(loc=(path,), type="value_error", ctx={"error": error_msg}))
+                    return False
+                else:
+                    raise ValueError(error_msg)
+            current_model = current_inspector.relationships[part].mapper.class_
+        else:
+            error_msg = f"The field or relationship '{part}' does not exist in the model '{current_model.__name__}' for the path '{path}'."
+            if errors is not None:
+                errors.append(InitErrorDetails(loc=(path,), type="value_error", ctx={"error": error_msg}))
+                return False
+            else:
+                raise ValueError(error_msg)
+    return False
+
+
+def _recursive_validate_keys(
+    filter_data: dict[str, Any],
+    sqla_model: type[DeclarativeBase],
+    allowed_fields: list[FieldInfo] | None = None,
+    errors: list[InitErrorDetails] | None = None,
+) -> list[InitErrorDetails]:
+    """Validates filter keys recursively and returns a list of error objects."""
+    if is_top_level_call := errors is None:
+        errors = []
+
+    if not isinstance(filter_data, dict):
+        errors.append(
+            InitErrorDetails(loc=(), ctx={"error": "Each filter clause must be a dictionary."}, type="dict_type")
+        )
+        return
+
+    for key, value in filter_data.items():
+        if key in LOGICAL_OPERATORS:
+            if key in {Operator.AND, Operator.OR}:
+                if not isinstance(value, list):
+                    errors.append(
+                        InitErrorDetails(
+                            loc=(key,),
+                            ctx={"error": f"The value for the operator '{key}' must be a list."},
+                            type="list_type",
+                        )
+                    )
+                    continue
+                for sub_filter in value:
+                    _recursive_validate_keys(sub_filter, sqla_model, allowed_fields, errors)
+            elif key == Operator.NOT:
+                if not isinstance(value, dict):
+                    errors.append(
+                        InitErrorDetails(
+                            loc=(key,),
+                            ctx={"error": f"The value for the operator '{key}' must be a dictionary."},
+                            type="dict_type",
+                        )
+                    )
+                    continue
+                _recursive_validate_keys(value, sqla_model, allowed_fields, errors)
+        else:
+            field_info = None
+            if allowed_fields is not None:
+                field_info = next((f for f in allowed_fields if f.name == key), None)
+                if field_info is None:
+                    errors.append(
+                        InitErrorDetails(
+                            loc=(key,),
+                            ctx={"error": f"The field '{key}' is not allowed for filtering."},
+                            type="value_error",
+                        )
+                    )
+                    continue
+
+            # Validate field path and collect any errors
+            _validate_field_path(sqla_model, key, errors)
+
+            if not isinstance(value, dict):
+                errors.append(
+                    InitErrorDetails(
+                        loc=(key,),
+                        ctx={
+                            "error": f"The value for the field '{key}' must be a comparison dictionary (e.g. {{'$eq': 'value'}})."
+                        },
+                        type="dict_type",
+                    )
+                )
+                continue
+
+            if not value:
+                errors.append(
+                    InitErrorDetails(
+                        loc=(key,),
+                        ctx={"error": f"The comparison object for '{key}' cannot be empty."},
+                        type="value_error",
+                    )
+                )
+                continue
+
+            for comp_op_str, comp_val in value.items():
+                try:
+                    comp_op = Operator(comp_op_str)
+                    if comp_op not in COMPARISON_OPERATORS:
+                        raise ValueError()
+                except ValueError:
+                    errors.append(
+                        InitErrorDetails(
+                            loc=(key, comp_op_str),
+                            ctx={"error": f"'{comp_op_str}' is not a valid comparison operator for the field '{key}'."},
+                            type="value_error",
+                        )
+                    )
+                    continue
+
+                if field_info and comp_op not in {field.name for field in field_info.operators}:
+                    errors.append(
+                        InitErrorDetails(
+                            loc=(key, comp_op_str),
+                            ctx={"error": f"'{comp_op_str}' is not a valid comparison operator for the field '{key}'."},
+                            type="value_error",
+                        )
+                    )
+                    continue
+
+                if comp_op in LIST_BASED_OPERATORS:
+                    if not isinstance(comp_val, list):
+                        errors.append(
+                            InitErrorDetails(
+                                loc=(key, comp_op_str),
+                                ctx={
+                                    "error": f"The value for the operator '{comp_op}' in the field '{key}' must be a list."
+                                },
+                                type="list_type",
+                            )
+                        )
+
+    # Return the list of errors (empty if no errors found)
+    return errors if is_top_level_call else []
+
+
+ComparisonValue: TypeAlias = str | int | float | bool | list
+ComparisonObject: TypeAlias = dict[str, ComparisonValue]
+FilterDict: TypeAlias = dict[str, ComparisonObject | list["FilterSchema"]]
+
+
+class FilterSchema(RootModel[FilterDict]):
+    @model_validator(mode="before")
+    @classmethod
+    def _validate_with_context(cls, data: Any, info: ValidationInfo) -> Any:
+        sqla_model = info.context.get("sqla_model")
+        allowed_fields = info.context.get("allowed_fields")
+        if not sqla_model:
+            raise ValueError("The SQLAlchemy model was not found in the validation context.")
+
+        if not isinstance(data, dict):
+            raise ValueError("The main filter clause must be a dictionary.")
+
+        # Get validation errors as objects
+        validation_errors = _recursive_validate_keys(data, sqla_model, allowed_fields)
+
+        # If there are errors, raise ValidationError with the structured errors
+        if validation_errors:
+            raise ValidationError.from_exception_data(title="FilterValidation", line_errors=validation_errors)
+
+        return data
+
+
+class SortField(BaseModel):
+    field: str = Field(..., description="The field name to sort by.", min_length=1)
+    direction: Literal["asc", "desc"] | None = Field(default=None)
+
+
+class QueryParamsConfigDict(ConfigDict, total=False):
+    schema_config: Optional[SchemaConfig]
+    sqla_model: Optional[type[DeclarativeMeta | DeclarativeBase]]
+
+
+class QueryParams(BaseModel):
+    SCHEMA: ClassVar[Optional[QueryParamsSchemaResponse]] = None
+
+    filters: Optional[FilterSchema] = Query(default=None, description="Filters in JSON format.")
+    sort: Optional[list[SortField]] = Query(default=None, description="e.g. name:asc,phone:desc or user.email:desc")
+    search: Optional[str | None] = Query(default=None, description="A string for global search across string fields.")
+
+    def __init_subclass__(cls, **kwargs):
+        super().__init_subclass__(**kwargs)
+        config = cls.model_config.get("schema_config")
+        if not config:
+            config = SchemaConfig(model=cls.model_config.get("sqla_model"))
+        if isinstance(config, SchemaConfig):
+            generator = SchemaGenerator(config)
+            cls.SCHEMA = generator.generate()
+
+    @classmethod
+    def get_schema(cls) -> QueryParamsSchemaResponse:
+        if cls.SCHEMA is None:
+            raise TypeError(f"The schema has not been generated for the class '{cls.__name__}'.")
+
+        return cls.SCHEMA
+
+    @field_validator("filters", mode="before")
+    @classmethod
+    def validate_and_parse_filters(cls, v: Any, info: ValidationInfo) -> Optional[dict[str, Any]]:
+        if v is None or not isinstance(v, str) or not v.strip():
+            return None
+        try:
+            data = orjson.loads(v)
+        except orjson.JSONDecodeError:
+            raise ValueError("The JSON provided in 'filters' is invalid.")
+        sqla_model = cls.model_config.get("sqla_model") if cls.model_config else None
+        query_config = cls.model_config.get("schema_config") if cls.model_config else None
+
+        if not sqla_model:
+            if not isinstance(query_config, SchemaConfig):
+                raise ValueError("The SQLAlchemy model must be provided in 'model_config' or via 'schema_config'.")
+            sqla_model = query_config.model
+        if query_config:
+            if not isinstance(query_config, SchemaConfig):
+                raise ValueError("'schema_config' in 'model_config' must be an instance of SchemaConfig.")
+            if sqla_model is not query_config.model:
+                raise ValueError("The SQLAlchemy model in 'model_config' must match the one in 'schema_config'.")
+        allowed_fields = cls.get_schema().filterable_fields
+
+        validated_filter = TypeAdapter(FilterSchema).validate_python(
+            data, context={"sqla_model": sqla_model, "allowed_fields": allowed_fields}
+        )
+        return validated_filter
+
+    @field_validator("sort", mode="before")
+    @classmethod
+    def parse_sort_string(cls, v: Any) -> list[dict]:
+        if v is None:
+            return []
+        if isinstance(v, list):
+            return v
+
+        if isinstance(v, str):
+            allowed_fields = cls.get_schema().sortable_fields
+            if not v.strip():
+                return []
+            sort_fields = []
+            sort_string = v.strip()
+            fields = [field.strip() for field in sort_string.split(",") if field.strip()]
+            for sort_field_expr in fields:
+                sort_field = {}
+                if ":" in sort_field_expr:
+                    field_name, direction = sort_field_expr.split(":", 1)
+                    sort_field["field"] = field_name.strip()
+                    sort_field["direction"] = direction.strip().lower()
+                else:
+                    field_name = sort_field_expr.strip()
+                    sort_field["field"] = field_name
+                    sort_field["direction"] = "asc"
+                if sort_field["field"] not in allowed_fields:
+                    raise ValueError(f"Field '{sort_field['field']}' is not sortable.")
+                sort_fields.append(sort_field)
+            return sort_fields
+        raise ValueError(f"Invalid sort type: {type(v)}. Expected string or list.")
diff --git a/fastapi_querybuilder/utils.py b/fastapi_querybuilder/utils.py
index 985fed4..80b5a61 100644
--- a/fastapi_querybuilder/utils.py
+++ b/fastapi_querybuilder/utils.py
@@ -1,8 +1,11 @@
+from datetime import datetime, timedelta
+from typing import Any, Tuple
+
 from fastapi import HTTPException
+from sqlalchemy import ColumnElement, DateTime
+from sqlalchemy.orm import InstrumentedAttribute
 from sqlalchemy.sql import and_, or_
-from typing import Any, Tuple
-from datetime import datetime, timedelta
-from sqlalchemy import DateTime
+
 
 def _parse_datetime(value: str) -> datetime:
     for fmt in ("%Y-%m-%d", "%Y-%m-%dT%H:%M:%S", "%Y-%m-%d %H:%M:%S", "%Y-%m-%dT%H:%M:%SZ"):
@@ -10,26 +13,38 @@ def _parse_datetime(value: str) -> datetime:
             return datetime.strptime(value, fmt)
         except ValueError:
             continue
-    raise HTTPException(
-        status_code=400, detail=f"Invalid date format: {value}")
+    raise HTTPException(status_code=400, detail=f"Invalid date format: {value}")
+
+
+def _parse_datetime_py11(value: str) -> datetime:
+    try:
+        # Python 3.11+ has fromisoformat that can handle ISO 8601 directly
+        return datetime.fromisoformat(value)
+    except ValueError:
+        raise HTTPException(status_code=400, detail=f"Invalid date format: {value}")
 
 
-def _adjust_date_range(column, value: str, operator: str) -> Tuple[Any, bool]:
+def adjust_date_range(
+    column: InstrumentedAttribute[Any] | ColumnElement, value: str, operator: str
+) -> Tuple[Any, bool]:
+    from .operators import Operator
+
     if not isinstance(column.type, DateTime) or not isinstance(value, str):
         return value, False
 
-    dt = _parse_datetime(value)
+    dt = _parse_datetime_py11(value)
+
     if len(value.split("T")) == 1 and " " not in value:
-        if operator == "$eq":
+        if operator is Operator.EQ:
             return and_(column >= dt, column < dt + timedelta(days=1)), True
-        elif operator == "$ne":
+        elif operator is Operator.NE:
             return or_(column < dt, column >= dt + timedelta(days=1)), True
-        elif operator == "$gt":
+        elif operator is Operator.GT:
             return dt + timedelta(days=1), False
-        elif operator == "$gte":
+        elif operator is Operator.GTE:
             return dt, False
-        elif operator == "$lt":
+        elif operator is Operator.LT:
             return dt, False
-        elif operator == "$lte":
+        elif operator is Operator.LTE:
             return dt + timedelta(days=1), False
-    return dt, False
\ No newline at end of file
+    return dt, False
diff --git a/poetry.lock b/poetry.lock
index 3dfb82b..7de174d 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -1,4 +1,4 @@
-# This file is automatically @generated by Poetry 2.1.3 and should not be changed by hand.
+# This file is automatically @generated by Poetry 2.1.2 and should not be changed by hand.
 
 [[package]]
 name = "aiosqlite"
@@ -44,7 +44,6 @@ files = [
 ]
 
 [package.dependencies]
-exceptiongroup = {version = ">=1.0.2", markers = "python_version < \"3.11\""}
 idna = ">=2.8"
 sniffio = ">=1.1"
 typing_extensions = {version = ">=4.5", markers = "python_version < \"3.13\""}
@@ -54,6 +53,281 @@ doc = ["Sphinx (>=8.2,<9.0)", "packaging", "sphinx-autodoc-typehints (>=1.2.0)",
 test = ["anyio[trio]", "blockbuster (>=1.5.23)", "coverage[toml] (>=7)", "exceptiongroup (>=1.2.0)", "hypothesis (>=4.0)", "psutil (>=5.9)", "pytest (>=7.0)", "trustme", "truststore (>=0.9.1) ; python_version >= \"3.10\"", "uvloop (>=0.21) ; platform_python_implementation == \"CPython\" and platform_system != \"Windows\" and python_version < \"3.14\""]
 trio = ["trio (>=0.26.1)"]
 
+[[package]]
+name = "backports-tarfile"
+version = "1.2.0"
+description = "Backport of CPython tarfile module"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
+markers = "python_version == \"3.11\""
+files = [
+    {file = "backports.tarfile-1.2.0-py3-none-any.whl", hash = "sha256:77e284d754527b01fb1e6fa8a1afe577858ebe4e9dad8919e34c862cb399bc34"},
+    {file = "backports_tarfile-1.2.0.tar.gz", hash = "sha256:d75e02c268746e1b8144c278978b6e98e85de6ad16f8e4b0844a154557eca991"},
+]
+
+[package.extras]
+docs = ["furo", "jaraco.packaging (>=9.3)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
+testing = ["jaraco.test", "pytest (!=8.0.*)", "pytest (>=6,!=8.1.*)", "pytest-checkdocs (>=2.4)", "pytest-cov", "pytest-enabler (>=2.2)"]
+
+[[package]]
+name = "build"
+version = "1.3.0"
+description = "A simple, correct Python build frontend"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "build-1.3.0-py3-none-any.whl", hash = "sha256:7145f0b5061ba90a1500d60bd1b13ca0a8a4cebdd0cc16ed8adf1c0e739f43b4"},
+    {file = "build-1.3.0.tar.gz", hash = "sha256:698edd0ea270bde950f53aed21f3a0135672206f3911e0176261a31e0e07b397"},
+]
+
+[package.dependencies]
+colorama = {version = "*", markers = "os_name == \"nt\""}
+packaging = ">=19.1"
+pyproject_hooks = "*"
+
+[package.extras]
+uv = ["uv (>=0.1.18)"]
+virtualenv = ["virtualenv (>=20.11) ; python_version < \"3.10\"", "virtualenv (>=20.17) ; python_version >= \"3.10\" and python_version < \"3.14\"", "virtualenv (>=20.31) ; python_version >= \"3.14\""]
+
+[[package]]
+name = "cachecontrol"
+version = "0.14.3"
+description = "httplib2 caching for requests"
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+files = [
+    {file = "cachecontrol-0.14.3-py3-none-any.whl", hash = "sha256:b35e44a3113f17d2a31c1e6b27b9de6d4405f84ae51baa8c1d3cc5b633010cae"},
+    {file = "cachecontrol-0.14.3.tar.gz", hash = "sha256:73e7efec4b06b20d9267b441c1f733664f989fb8688391b670ca812d70795d11"},
+]
+
+[package.dependencies]
+filelock = {version = ">=3.8.0", optional = true, markers = "extra == \"filecache\""}
+msgpack = ">=0.5.2,<2.0.0"
+requests = ">=2.16.0"
+
+[package.extras]
+dev = ["CacheControl[filecache,redis]", "build", "cherrypy", "codespell[tomli]", "furo", "mypy", "pytest", "pytest-cov", "ruff", "sphinx", "sphinx-copybutton", "tox", "types-redis", "types-requests"]
+filecache = ["filelock (>=3.8.0)"]
+redis = ["redis (>=2.10.5)"]
+
+[[package]]
+name = "certifi"
+version = "2025.8.3"
+description = "Python package for providing Mozilla's CA Bundle."
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
+files = [
+    {file = "certifi-2025.8.3-py3-none-any.whl", hash = "sha256:f6c12493cfb1b06ba2ff328595af9350c65d6644968e5d3a2ffd78699af217a5"},
+    {file = "certifi-2025.8.3.tar.gz", hash = "sha256:e564105f78ded564e3ae7c923924435e1daa7463faeab5bb932bc53ffae63407"},
+]
+
+[[package]]
+name = "cffi"
+version = "2.0.0"
+description = "Foreign Function Interface for Python calling C code."
+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
+markers = "sys_platform == \"linux\" and platform_python_implementation != \"PyPy\" or sys_platform == \"darwin\""
+files = [
+    {file = "cffi-2.0.0-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:0cf2d91ecc3fcc0625c2c530fe004f82c110405f101548512cce44322fa8ac44"},
+    {file = "cffi-2.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:f73b96c41e3b2adedc34a7356e64c8eb96e03a3782b535e043a986276ce12a49"},
+    {file = "cffi-2.0.0-cp310-cp310-manylinux1_i686.manylinux2014_i686.manylinux_2_17_i686.manylinux_2_5_i686.whl", hash = "sha256:53f77cbe57044e88bbd5ed26ac1d0514d2acf0591dd6bb02a3ae37f76811b80c"},
+    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_aarch64.manylinux_2_17_aarch64.whl", hash = "sha256:3e837e369566884707ddaf85fc1744b47575005c0a229de3327f8f9a20f4efeb"},
+    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_ppc64le.manylinux_2_17_ppc64le.whl", hash = "sha256:5eda85d6d1879e692d546a078b44251cdd08dd1cfb98dfb77b670c97cee49ea0"},
+    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_s390x.manylinux_2_17_s390x.whl", hash = "sha256:9332088d75dc3241c702d852d4671613136d90fa6881da7d770a483fd05248b4"},
+    {file = "cffi-2.0.0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:fc7de24befaeae77ba923797c7c87834c73648a05a4bde34b3b7e5588973a453"},
+    {file = "cffi-2.0.0-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:cf364028c016c03078a23b503f02058f1814320a56ad535686f90565636a9495"},
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+optional = false
+python-versions = ">=3.7,<4.0"
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+rapidfuzz = ">=3.0.0,<4.0.0"
+
 [[package]]
 name = "click"
 version = "8.1.8"
@@ -76,27 +350,163 @@ description = "Cross-platform colored terminal text."
 optional = false
 python-versions = "!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*,>=2.7"
 groups = ["main"]
-markers = "platform_system == \"Windows\""
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 ]
 
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-version = "1.2.2"
-description = "Backport of PEP 654 (exception groups)"
+name = "crashtest"
+version = "0.4.1"
+description = "Manage Python errors with ease"
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-python-versions = ">=3.7"
+python-versions = ">=3.7,<4.0"
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@@ -155,6 +565,48 @@ sqlalchemy = ["sqlakeyset (>=2.0.1680321678,<3)", "sqlalchemy (>=1.3.20)"]
 sqlmodel = ["sqlakeyset (>=2.0.1680321678,<3)", "sqlmodel (>=0.0.22)"]
 tortoise = ["tortoise-orm (>=0.22.0)"]
 
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@@ -255,6 +707,53 @@ files = [
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+
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 version = "3.10"
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+
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+
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+description = "Tool to Detect Surrounding Shell"
+optional = false
+python-versions = ">=3.7"
+groups = ["main"]
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+
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 version = "1.3.1"
@@ -530,6 +1669,30 @@ anyio = ">=3.6.2,<5"
 [package.extras]
 full = ["httpx (>=0.27.0,<0.29.0)", "itsdangerous", "jinja2", "python-multipart (>=0.0.18)", "pyyaml"]
 
+[[package]]
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+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+
+[[package]]
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+description = "Canonical source for classifiers on PyPI (pypi.org)."
+optional = false
+python-versions = "*"
+groups = ["main"]
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 version = "4.12.2"
@@ -542,6 +1705,24 @@ files = [
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 ]
 
+[[package]]
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+optional = false
+python-versions = ">=3.9"
+groups = ["main"]
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+zstd = ["zstandard (>=0.18.0)"]
+
 [[package]]
 name = "uvicorn"
 version = "0.34.0"
@@ -557,12 +1738,252 @@ files = [
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 click = ">=7.0"
 h11 = ">=0.8"
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+[[package]]
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+description = "Virtual Python Environment builder"
+optional = false
+python-versions = ">=3.8"
+groups = ["main"]
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+platformdirs = ">=3.9.1,<5"
+
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+markers = "sys_platform == \"darwin\""
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+]
+
+[package.extras]
+cffi = ["cffi (>=1.17) ; python_version >= \"3.13\" and platform_python_implementation != \"PyPy\""]
+
 [metadata]
 lock-version = "2.1"
-python-versions = ">=3.10,<4.0"
-content-hash = "173913501580b54d0868c9ab3ff90b730984529938dd8a93a2ffb3b50e44ae46"
+python-versions = ">=3.11,<4.0"
+content-hash = "dabce20072ade4991b5929e1905c07c9f808e8c26d4fc0437c064c1ff5fa8ccd"
diff --git a/pyproject.toml b/pyproject.toml
index 9984ee0..c2c8921 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "fastapi-querybuilder"
-version = "0.1.10"
+version = "0.2.1"
 description = "Smart filtering, sorting, and searching for FastAPI with SQLAlchemy"
 authors = ["Bhadri01 <bhadrinathan28@gmail.com>"]
 license = "MIT"
@@ -20,13 +20,14 @@ classifiers = [
 ]
 
 [tool.poetry.dependencies]
-python = ">=3.10,<4.0"
+python = ">=3.11,<4.0"
 fastapi = ">=0.115"
 uvicorn = ">=0.30"
 sqlalchemy = ">=2.0"
-fastapi_pagination = "0.13.2"
+fastapi_pagination = ">=0.13.2"
 aiosqlite = ">=0.21.0"
 poetry = ">=2.1.4"
+orjson = "^3.11.3"
 
 [tool.coverage.paths]
 source = ["fastapi_querybuilder"]