diff --git a/pyproject.toml b/pyproject.toml index c682ddbb..bc2c5cf9 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -1,6 +1,6 @@ [project] name = "sap-cloud-sdk" -version = "0.57.0" +version = "0.57.1" description = "SAP Cloud SDK for Python" readme = "README.md" license = "Apache-2.0" diff --git a/src/sap_cloud_sdk/agentgateway/converters.py b/src/sap_cloud_sdk/agentgateway/converters.py index 18788c60..ed9c40bc 100644 --- a/src/sap_cloud_sdk/agentgateway/converters.py +++ b/src/sap_cloud_sdk/agentgateway/converters.py @@ -91,9 +91,22 @@ def mcp_tool_to_langchain( "Install it with: pip install sap-cloud-sdk[langchain]" ) from None + # Build args schema from input_schema. + # Pydantic v2 rejects field names starting with '_' (OData CSDL §15.2 allows them). + # Strip leading underscores for the Pydantic model and restore originals before + # forwarding to call_tool via name_map. + properties = mcp_tool.input_schema.get("properties", {}) + required = set(mcp_tool.input_schema.get("required", [])) + # safe_name -> original_name; identity for names that need no renaming + name_map: dict[str, str] = {k.lstrip("_") or k: k for k in properties} + async def run(**kwargs) -> str: + # Translate safe names back to original OData names before forwarding. + restored = {name_map.get(k, k): v for k, v in kwargs.items()} resolved = ( - {k: v for k, v in kwargs.items() if v is not None} if omit_none else kwargs + {k: v for k, v in restored.items() if v is not None} + if omit_none + else restored ) return await call_tool( mcp_tool, @@ -101,17 +114,15 @@ async def run(**kwargs) -> str: **resolved, ) - # Build args schema from input_schema - properties = mcp_tool.input_schema.get("properties", {}) - required = set(mcp_tool.input_schema.get("required", [])) fields: dict[str, Any] = {} - for k, v in properties.items(): + for safe, orig in name_map.items(): + v = properties[orig] py_type, type_nullable = _resolve_type(v.get("type")) - optional = k not in required + optional = orig not in required if optional or type_nullable: - fields[k] = (py_type | None, Field(default=None)) + fields[safe] = (py_type | None, Field(default=None)) else: - fields[k] = (py_type, ...) + fields[safe] = (py_type, ...) args_schema = create_model(f"{mcp_tool.name}_args", **fields) if fields else None return StructuredTool.from_function( diff --git a/tests/agentgateway/unit/test_converters.py b/tests/agentgateway/unit/test_converters.py index d6dce001..45e30663 100644 --- a/tests/agentgateway/unit/test_converters.py +++ b/tests/agentgateway/unit/test_converters.py @@ -9,7 +9,7 @@ def _schema_fields(lc_tool): - """Narrow args_schema to BaseModel and return model_fields.""" + """Return model_fields from the args_schema Pydantic model.""" schema = lc_tool.args_schema assert isinstance(schema, type) and issubclass(schema, BaseModel) return schema.model_fields @@ -155,6 +155,7 @@ def test_object_type_maps_to_dict(self): def test_unknown_type_maps_to_any(self): from typing import Any + lc_tool = mcp_tool_to_langchain( self._tool_with_types({"data": {"type": "unknown"}}, required=["data"]), AsyncMock(), @@ -164,6 +165,7 @@ def test_unknown_type_maps_to_any(self): def test_missing_type_maps_to_any(self): from typing import Any + lc_tool = mcp_tool_to_langchain( self._tool_with_types({"data": {}}, required=["data"]), AsyncMock(), @@ -181,6 +183,7 @@ def test_optional_non_string_field_is_nullable(self): assert not field.is_required() # annotation should be int | None import types as _types + assert isinstance(field.annotation, _types.UnionType) assert int in field.annotation.__args__ assert type(None) in field.annotation.__args__ @@ -193,6 +196,7 @@ def test_array_type_integer_null_maps_to_int(self): ) field = _schema_fields(lc_tool)["limit"] import types as _types + assert isinstance(field.annotation, _types.UnionType) assert int in field.annotation.__args__ assert type(None) in field.annotation.__args__ @@ -205,6 +209,7 @@ def test_array_type_number_null_maps_to_float(self): ) field = _schema_fields(lc_tool)["ratio"] import types as _types + assert isinstance(field.annotation, _types.UnionType) assert float in field.annotation.__args__ assert type(None) in field.annotation.__args__ @@ -212,12 +217,15 @@ def test_array_type_number_null_maps_to_float(self): def test_array_type_multiple_scalars_uses_first_non_null(self): # e.g. {"type": ["number", "string", "null"]} — pick "number" lc_tool = mcp_tool_to_langchain( - self._tool_with_types({"val": {"type": ["number", "string", "null"]}}, required=["val"]), + self._tool_with_types( + {"val": {"type": ["number", "string", "null"]}}, required=["val"] + ), AsyncMock(), lambda: "token", ) field = _schema_fields(lc_tool)["val"] import types as _types + assert isinstance(field.annotation, _types.UnionType) assert float in field.annotation.__args__ assert type(None) in field.annotation.__args__ @@ -232,6 +240,82 @@ def test_array_type_without_null_is_not_nullable(self): assert field.annotation is int +class TestMcpToolToLangchainUnderscoredParams: + """OData CSDL §15.2 allows '_'-prefixed identifiers; Pydantic v2 rejects them. + + The converter strips leading underscores for the Pydantic model and restores + originals before forwarding to call_tool via an internal name_map. + """ + + def _tool_with_underscore_params(self): + return MCPTool( + name="get_variant_config", + server_name="s4hana", + description="Get variant configuration", + input_schema={ + "type": "object", + "required": ["_VariantConfiguration"], + "properties": { + "_VariantConfiguration": {"type": "string"}, + "_Product": {"type": "string"}, + "NormalParam": {"type": "string"}, + }, + }, + url="https://example.com/mcp", + ) + + def test_underscored_required_param_present_in_schema(self): + """'_VariantConfiguration' must appear in the args schema (stripped to safe name).""" + lc_tool = mcp_tool_to_langchain( + self._tool_with_underscore_params(), AsyncMock(return_value="ok"), lambda: "token" + ) + fields = _schema_fields(lc_tool) + assert "VariantConfiguration" in fields + assert fields["VariantConfiguration"].is_required() + + def test_underscored_optional_param_present_in_schema(self): + lc_tool = mcp_tool_to_langchain( + self._tool_with_underscore_params(), AsyncMock(return_value="ok"), lambda: "token" + ) + fields = _schema_fields(lc_tool) + assert "Product" in fields + assert not fields["Product"].is_required() + + def test_non_underscored_param_unaffected(self): + lc_tool = mcp_tool_to_langchain( + self._tool_with_underscore_params(), AsyncMock(return_value="ok"), lambda: "token" + ) + assert "NormalParam" in _schema_fields(lc_tool) + + @pytest.mark.asyncio + async def test_original_underscore_name_restored_on_invocation(self): + """call_tool must receive '_VariantConfiguration', not 'VariantConfiguration'.""" + call_tool = AsyncMock(return_value="ok") + lc_tool = mcp_tool_to_langchain( + self._tool_with_underscore_params(), call_tool, lambda: "token" + ) + + await lc_tool.arun({"VariantConfiguration": "VC001"}) + + kwargs = call_tool.call_args.kwargs + assert "_VariantConfiguration" in kwargs + assert kwargs["_VariantConfiguration"] == "VC001" + assert "VariantConfiguration" not in kwargs + + @pytest.mark.asyncio + async def test_optional_underscore_param_restored_when_supplied(self): + call_tool = AsyncMock(return_value="ok") + lc_tool = mcp_tool_to_langchain( + self._tool_with_underscore_params(), call_tool, lambda: "token" + ) + + await lc_tool.arun({"VariantConfiguration": "VC001", "Product": "P001"}) + + kwargs = call_tool.call_args.kwargs + assert kwargs.get("_Product") == "P001" + assert "Product" not in kwargs + + class TestMcpToolToLangchainInvocation: """End-to-end invocation tests: verify what actually reaches call_tool.""" diff --git a/uv.lock b/uv.lock index dc99fe5d..5c4ff105 100644 --- a/uv.lock +++ b/uv.lock @@ -166,9 +166,9 @@ name = "aiologic" version = "0.17.1" source = { registry = "https://pypi.org/simple" } 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