added baml logic

cognee/base_config.py

@@ -9,7 +9,7 @@ from pydantic_settings import BaseSettings, SettingsConfigDict
 class BaseConfig(BaseSettings):
     data_root_directory: str = get_absolute_path(".data_storage")
     monitoring_tool: object = Observer.LANGFUSE
-    structured_output_framework: str = os.getenv("STRUCTURED_OUTPUT_FRAMEWORK")
+    structured_output_framework: str = os.getenv("STRUCTURED_OUTPUT_FRAMEWORK", "")
     graphistry_username: Optional[str] = os.getenv("GRAPHISTRY_USERNAME")
     graphistry_password: Optional[str] = os.getenv("GRAPHISTRY_PASSWORD")
     langfuse_public_key: Optional[str] = os.getenv("LANGFUSE_PUBLIC_KEY")

cognee/infrastructure/llm/structured_output_framework/baml/baml_client/async_client.py

@@ -101,6 +101,20 @@ class BamlAsyncClient:
             "content": content,"prompt_override": prompt_override,
         })
         return typing.cast(types.KnowledgeGraph, result.cast_to(types, types, stream_types, False, __runtime__))
+    async def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> types.SummarizedCode:
+        result = await self.__options.merge_options(baml_options).call_function_async(function_name="SummarizeCode", args={
+            "content": content,
+        })
+        return typing.cast(types.SummarizedCode, result.cast_to(types, types, stream_types, False, __runtime__))
+    async def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> types.SummarizedContent:
+        result = await self.__options.merge_options(baml_options).call_function_async(function_name="SummarizeContent", args={
+            "content": content,
+        })
+        return typing.cast(types.SummarizedContent, result.cast_to(types, types, stream_types, False, __runtime__))
     
 
 
@@ -158,6 +172,30 @@ class BamlStreamClient:
           lambda x: typing.cast(types.KnowledgeGraph, x.cast_to(types, types, stream_types, False, __runtime__)),
           ctx,
         )
+    def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.BamlStream[stream_types.SummarizedCode, types.SummarizedCode]:
+        ctx, result = self.__options.merge_options(baml_options).create_async_stream(function_name="SummarizeCode", args={
+            "content": content,
+        })
+        return baml_py.BamlStream[stream_types.SummarizedCode, types.SummarizedCode](
+          result,
+          lambda x: typing.cast(stream_types.SummarizedCode, x.cast_to(types, types, stream_types, True, __runtime__)),
+          lambda x: typing.cast(types.SummarizedCode, x.cast_to(types, types, stream_types, False, __runtime__)),
+          ctx,
+        )
+    def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.BamlStream[stream_types.SummarizedContent, types.SummarizedContent]:
+        ctx, result = self.__options.merge_options(baml_options).create_async_stream(function_name="SummarizeContent", args={
+            "content": content,
+        })
+        return baml_py.BamlStream[stream_types.SummarizedContent, types.SummarizedContent](
+          result,
+          lambda x: typing.cast(stream_types.SummarizedContent, x.cast_to(types, types, stream_types, True, __runtime__)),
+          lambda x: typing.cast(types.SummarizedContent, x.cast_to(types, types, stream_types, False, __runtime__)),
+          ctx,
+        )
     
 
 class BamlHttpRequestClient:
@@ -194,6 +232,20 @@ class BamlHttpRequestClient:
             "content": content,"prompt_override": prompt_override,
         }, mode="request")
         return result
+    async def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = await self.__options.merge_options(baml_options).create_http_request_async(function_name="SummarizeCode", args={
+            "content": content,
+        }, mode="request")
+        return result
+    async def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = await self.__options.merge_options(baml_options).create_http_request_async(function_name="SummarizeContent", args={
+            "content": content,
+        }, mode="request")
+        return result
     
 
 class BamlHttpStreamRequestClient:
@@ -230,6 +282,20 @@ class BamlHttpStreamRequestClient:
             "content": content,"prompt_override": prompt_override,
         }, mode="stream")
         return result
+    async def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = await self.__options.merge_options(baml_options).create_http_request_async(function_name="SummarizeCode", args={
+            "content": content,
+        }, mode="stream")
+        return result
+    async def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = await self.__options.merge_options(baml_options).create_http_request_async(function_name="SummarizeContent", args={
+            "content": content,
+        }, mode="stream")
+        return result
     
 
 b = BamlAsyncClient(DoNotUseDirectlyCallManager({}))

cognee/infrastructure/llm/structured_output_framework/baml/baml_client/parser.py

@@ -46,6 +46,18 @@ class LlmResponseParser:
         result = self.__options.merge_options(baml_options).parse_response(function_name="ExtractContentGraphWithEnvPrompt", llm_response=llm_response, mode="request")
         return typing.cast(types.KnowledgeGraph, result)
 
+    def SummarizeCode(
+        self, llm_response: str, baml_options: BamlCallOptions = {},
+    ) -> types.SummarizedCode:
+        result = self.__options.merge_options(baml_options).parse_response(function_name="SummarizeCode", llm_response=llm_response, mode="request")
+        return typing.cast(types.SummarizedCode, result)
+
+    def SummarizeContent(
+        self, llm_response: str, baml_options: BamlCallOptions = {},
+    ) -> types.SummarizedContent:
+        result = self.__options.merge_options(baml_options).parse_response(function_name="SummarizeContent", llm_response=llm_response, mode="request")
+        return typing.cast(types.SummarizedContent, result)
+
     
 
 class LlmStreamParser:
@@ -78,4 +90,16 @@ class LlmStreamParser:
         result = self.__options.merge_options(baml_options).parse_response(function_name="ExtractContentGraphWithEnvPrompt", llm_response=llm_response, mode="stream")
         return typing.cast(stream_types.KnowledgeGraph, result)
 
+    def SummarizeCode(
+        self, llm_response: str, baml_options: BamlCallOptions = {},
+    ) -> stream_types.SummarizedCode:
+        result = self.__options.merge_options(baml_options).parse_response(function_name="SummarizeCode", llm_response=llm_response, mode="stream")
+        return typing.cast(stream_types.SummarizedCode, result)
+
+    def SummarizeContent(
+        self, llm_response: str, baml_options: BamlCallOptions = {},
+    ) -> stream_types.SummarizedContent:
+        result = self.__options.merge_options(baml_options).parse_response(function_name="SummarizeContent", llm_response=llm_response, mode="stream")
+        return typing.cast(stream_types.SummarizedContent, result)
+
     

cognee/infrastructure/llm/structured_output_framework/baml/baml_client/stream_types.py

@@ -23,7 +23,7 @@ class StreamState(BaseModel, typing.Generic[StreamStateValueT]):
     value: StreamStateValueT
     state: typing_extensions.Literal["Pending", "Incomplete", "Complete"]
 # #########################################################################
-# Generated classes (3)
+# Generated classes (7)
 # #########################################################################
 
 class Edge(BaseModel):
@@ -45,6 +45,32 @@ class Node(BaseModel):
     type: typing.Optional[str] = None
     description: typing.Optional[str] = None
 
+class SummarizedClass(BaseModel):
+    name: typing.Optional[str] = None
+    description: typing.Optional[str] = None
+    methods: typing.Optional[typing.List["SummarizedFunction"]] = None
+    decorators: typing.Optional[typing.List[str]] = None
+
+class SummarizedCode(BaseModel):
+    high_level_summary: typing.Optional[str] = None
+    key_features: typing.List[str]
+    imports: typing.List[str]
+    constants: typing.List[str]
+    classes: typing.List["SummarizedClass"]
+    functions: typing.List["SummarizedFunction"]
+    workflow_description: typing.Optional[str] = None
+
+class SummarizedContent(BaseModel):
+    summary: typing.Optional[str] = None
+    description: typing.Optional[str] = None
+
+class SummarizedFunction(BaseModel):
+    name: typing.Optional[str] = None
+    description: typing.Optional[str] = None
+    inputs: typing.Optional[typing.List[str]] = None
+    outputs: typing.Optional[typing.List[str]] = None
+    decorators: typing.Optional[typing.List[str]] = None
+
 # #########################################################################
 # Generated type aliases (0)
 # #########################################################################

cognee/infrastructure/llm/structured_output_framework/baml/baml_client/sync_client.py

@@ -113,6 +113,20 @@ class BamlSyncClient:
             "content": content,"prompt_override": prompt_override,
         })
         return typing.cast(types.KnowledgeGraph, result.cast_to(types, types, stream_types, False, __runtime__))
+    def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> types.SummarizedCode:
+        result = self.__options.merge_options(baml_options).call_function_sync(function_name="SummarizeCode", args={
+            "content": content,
+        })
+        return typing.cast(types.SummarizedCode, result.cast_to(types, types, stream_types, False, __runtime__))
+    def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> types.SummarizedContent:
+        result = self.__options.merge_options(baml_options).call_function_sync(function_name="SummarizeContent", args={
+            "content": content,
+        })
+        return typing.cast(types.SummarizedContent, result.cast_to(types, types, stream_types, False, __runtime__))
     
 
 
@@ -170,6 +184,30 @@ class BamlStreamClient:
           lambda x: typing.cast(types.KnowledgeGraph, x.cast_to(types, types, stream_types, False, __runtime__)),
           ctx,
         )
+    def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.BamlSyncStream[stream_types.SummarizedCode, types.SummarizedCode]:
+        ctx, result = self.__options.merge_options(baml_options).create_sync_stream(function_name="SummarizeCode", args={
+            "content": content,
+        })
+        return baml_py.BamlSyncStream[stream_types.SummarizedCode, types.SummarizedCode](
+          result,
+          lambda x: typing.cast(stream_types.SummarizedCode, x.cast_to(types, types, stream_types, True, __runtime__)),
+          lambda x: typing.cast(types.SummarizedCode, x.cast_to(types, types, stream_types, False, __runtime__)),
+          ctx,
+        )
+    def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.BamlSyncStream[stream_types.SummarizedContent, types.SummarizedContent]:
+        ctx, result = self.__options.merge_options(baml_options).create_sync_stream(function_name="SummarizeContent", args={
+            "content": content,
+        })
+        return baml_py.BamlSyncStream[stream_types.SummarizedContent, types.SummarizedContent](
+          result,
+          lambda x: typing.cast(stream_types.SummarizedContent, x.cast_to(types, types, stream_types, True, __runtime__)),
+          lambda x: typing.cast(types.SummarizedContent, x.cast_to(types, types, stream_types, False, __runtime__)),
+          ctx,
+        )
     
 
 class BamlHttpRequestClient:
@@ -206,6 +244,20 @@ class BamlHttpRequestClient:
             "content": content,"prompt_override": prompt_override,
         }, mode="request")
         return result
+    def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = self.__options.merge_options(baml_options).create_http_request_sync(function_name="SummarizeCode", args={
+            "content": content,
+        }, mode="request")
+        return result
+    def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = self.__options.merge_options(baml_options).create_http_request_sync(function_name="SummarizeContent", args={
+            "content": content,
+        }, mode="request")
+        return result
     
 
 class BamlHttpStreamRequestClient:
@@ -242,6 +294,20 @@ class BamlHttpStreamRequestClient:
             "content": content,"prompt_override": prompt_override,
         }, mode="stream")
         return result
+    def SummarizeCode(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = self.__options.merge_options(baml_options).create_http_request_sync(function_name="SummarizeCode", args={
+            "content": content,
+        }, mode="stream")
+        return result
+    def SummarizeContent(self, content: str,
+        baml_options: BamlCallOptions = {},
+    ) -> baml_py.baml_py.HTTPRequest:
+        result = self.__options.merge_options(baml_options).create_http_request_sync(function_name="SummarizeContent", args={
+            "content": content,
+        }, mode="stream")
+        return result
     
 
 b = BamlSyncClient(DoNotUseDirectlyCallManager({}))

cognee/infrastructure/llm/structured_output_framework/baml/baml_client/type_builder.py

@@ -18,7 +18,7 @@ from .globals import DO_NOT_USE_DIRECTLY_UNLESS_YOU_KNOW_WHAT_YOURE_DOING_RUNTIM
 class TypeBuilder(type_builder.TypeBuilder):
     def __init__(self):
         super().__init__(classes=set(
-          ["Edge","KnowledgeGraph","Node",]
+          ["Edge","KnowledgeGraph","Node","SummarizedClass","SummarizedCode","SummarizedContent","SummarizedFunction",]
         ), enums=set(
           []
         ), runtime=DO_NOT_USE_DIRECTLY_UNLESS_YOU_KNOW_WHAT_YOURE_DOING_RUNTIME)
@@ -29,7 +29,7 @@ class TypeBuilder(type_builder.TypeBuilder):
 
 
     # #########################################################################
-    # Generated classes 3
+    # Generated classes 7
     # #########################################################################
 
     @property
@@ -44,6 +44,22 @@ class TypeBuilder(type_builder.TypeBuilder):
     def Node(self) -> "NodeBuilder":
         return NodeBuilder(self)
 
+    @property
+    def SummarizedClass(self) -> "SummarizedClassViewer":
+        return SummarizedClassViewer(self)
+
+    @property
+    def SummarizedCode(self) -> "SummarizedCodeViewer":
+        return SummarizedCodeViewer(self)
+
+    @property
+    def SummarizedContent(self) -> "SummarizedContentViewer":
+        return SummarizedContentViewer(self)
+
+    @property
+    def SummarizedFunction(self) -> "SummarizedFunctionViewer":
+        return SummarizedFunctionViewer(self)
+
 
 
 # #########################################################################
@@ -52,7 +68,7 @@ class TypeBuilder(type_builder.TypeBuilder):
 
 
 # #########################################################################
-# Generated classes 3
+# Generated classes 7
 # #########################################################################
 
 class EdgeAst:
@@ -206,3 +222,215 @@ class NodeProperties:
     
     
 
+
+class SummarizedClassAst:
+    def __init__(self, tb: type_builder.TypeBuilder):
+        _tb = tb._tb # type: ignore (we know how to use this private attribute)
+        self._bldr = _tb.class_("SummarizedClass")
+        self._properties: typing.Set[str] = set([  "name",  "description",  "methods",  "decorators",  ])
+        self._props = SummarizedClassProperties(self._bldr, self._properties)
+
+    def type(self) -> baml_py.FieldType:
+        return self._bldr.field()
+
+    @property
+    def props(self) -> "SummarizedClassProperties":
+        return self._props
+
+
+class SummarizedClassViewer(SummarizedClassAst):
+    def __init__(self, tb: type_builder.TypeBuilder):
+        super().__init__(tb)
+
+    
+    def list_properties(self) -> typing.List[typing.Tuple[str, type_builder.ClassPropertyViewer]]:
+        return [(name, type_builder.ClassPropertyViewer(self._bldr.property(name))) for name in self._properties]
+    
+
+
+class SummarizedClassProperties:
+    def __init__(self, bldr: baml_py.ClassBuilder, properties: typing.Set[str]):
+        self.__bldr = bldr
+        self.__properties = properties # type: ignore (we know how to use this private attribute) # noqa: F821
+
+    
+    
+    @property
+    def name(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("name"))
+    
+    @property
+    def description(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("description"))
+    
+    @property
+    def methods(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("methods"))
+    
+    @property
+    def decorators(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("decorators"))
+    
+    
+
+
+class SummarizedCodeAst:
+    def __init__(self, tb: type_builder.TypeBuilder):
+        _tb = tb._tb # type: ignore (we know how to use this private attribute)
+        self._bldr = _tb.class_("SummarizedCode")
+        self._properties: typing.Set[str] = set([  "high_level_summary",  "key_features",  "imports",  "constants",  "classes",  "functions",  "workflow_description",  ])
+        self._props = SummarizedCodeProperties(self._bldr, self._properties)
+
+    def type(self) -> baml_py.FieldType:
+        return self._bldr.field()
+
+    @property
+    def props(self) -> "SummarizedCodeProperties":
+        return self._props
+
+
+class SummarizedCodeViewer(SummarizedCodeAst):
+    def __init__(self, tb: type_builder.TypeBuilder):
+        super().__init__(tb)
+
+    
+    def list_properties(self) -> typing.List[typing.Tuple[str, type_builder.ClassPropertyViewer]]:
+        return [(name, type_builder.ClassPropertyViewer(self._bldr.property(name))) for name in self._properties]
+    
+
+
+class SummarizedCodeProperties:
+    def __init__(self, bldr: baml_py.ClassBuilder, properties: typing.Set[str]):
+        self.__bldr = bldr
+        self.__properties = properties # type: ignore (we know how to use this private attribute) # noqa: F821
+
+    
+    
+    @property
+    def high_level_summary(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("high_level_summary"))
+    
+    @property
+    def key_features(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("key_features"))
+    
+    @property
+    def imports(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("imports"))
+    
+    @property
+    def constants(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("constants"))
+    
+    @property
+    def classes(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("classes"))
+    
+    @property
+    def functions(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("functions"))
+    
+    @property
+    def workflow_description(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("workflow_description"))
+    
+    
+
+
+class SummarizedContentAst:
+    def __init__(self, tb: type_builder.TypeBuilder):
+        _tb = tb._tb # type: ignore (we know how to use this private attribute)
+        self._bldr = _tb.class_("SummarizedContent")
+        self._properties: typing.Set[str] = set([  "summary",  "description",  ])
+        self._props = SummarizedContentProperties(self._bldr, self._properties)
+
+    def type(self) -> baml_py.FieldType:
+        return self._bldr.field()
+
+    @property
+    def props(self) -> "SummarizedContentProperties":
+        return self._props
+
+
+class SummarizedContentViewer(SummarizedContentAst):
+    def __init__(self, tb: type_builder.TypeBuilder):
+        super().__init__(tb)
+
+    
+    def list_properties(self) -> typing.List[typing.Tuple[str, type_builder.ClassPropertyViewer]]:
+        return [(name, type_builder.ClassPropertyViewer(self._bldr.property(name))) for name in self._properties]
+    
+
+
+class SummarizedContentProperties:
+    def __init__(self, bldr: baml_py.ClassBuilder, properties: typing.Set[str]):
+        self.__bldr = bldr
+        self.__properties = properties # type: ignore (we know how to use this private attribute) # noqa: F821
+
+    
+    
+    @property
+    def summary(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("summary"))
+    
+    @property
+    def description(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("description"))
+    
+    
+
+
+class SummarizedFunctionAst:
+    def __init__(self, tb: type_builder.TypeBuilder):
+        _tb = tb._tb # type: ignore (we know how to use this private attribute)
+        self._bldr = _tb.class_("SummarizedFunction")
+        self._properties: typing.Set[str] = set([  "name",  "description",  "inputs",  "outputs",  "decorators",  ])
+        self._props = SummarizedFunctionProperties(self._bldr, self._properties)
+
+    def type(self) -> baml_py.FieldType:
+        return self._bldr.field()
+
+    @property
+    def props(self) -> "SummarizedFunctionProperties":
+        return self._props
+
+
+class SummarizedFunctionViewer(SummarizedFunctionAst):
+    def __init__(self, tb: type_builder.TypeBuilder):
+        super().__init__(tb)
+
+    
+    def list_properties(self) -> typing.List[typing.Tuple[str, type_builder.ClassPropertyViewer]]:
+        return [(name, type_builder.ClassPropertyViewer(self._bldr.property(name))) for name in self._properties]
+    
+
+
+class SummarizedFunctionProperties:
+    def __init__(self, bldr: baml_py.ClassBuilder, properties: typing.Set[str]):
+        self.__bldr = bldr
+        self.__properties = properties # type: ignore (we know how to use this private attribute) # noqa: F821
+
+    
+    
+    @property
+    def name(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("name"))
+    
+    @property
+    def description(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("description"))
+    
+    @property
+    def inputs(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("inputs"))
+    
+    @property
+    def outputs(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("outputs"))
+    
+    @property
+    def decorators(self) -> type_builder.ClassPropertyViewer:
+        return type_builder.ClassPropertyViewer(self.__bldr.property("decorators"))
+    
+    
+

cognee/infrastructure/llm/structured_output_framework/baml/baml_client/type_map.py

@@ -25,5 +25,17 @@ type_map = {
     "types.Node": types.Node,
     "stream_types.Node": stream_types.Node,
 
+    "types.SummarizedClass": types.SummarizedClass,
+    "stream_types.SummarizedClass": stream_types.SummarizedClass,
+
+    "types.SummarizedCode": types.SummarizedCode,
+    "stream_types.SummarizedCode": stream_types.SummarizedCode,
+
+    "types.SummarizedContent": types.SummarizedContent,
+    "stream_types.SummarizedContent": stream_types.SummarizedContent,
+
+    "types.SummarizedFunction": types.SummarizedFunction,
+    "stream_types.SummarizedFunction": stream_types.SummarizedFunction,
+
 
 }

cognee/infrastructure/llm/structured_output_framework/baml/baml_client/types.py

@@ -41,7 +41,7 @@ def all_succeeded(checks: typing.Dict[CheckName, Check]) -> bool:
 # #########################################################################
 
 # #########################################################################
-# Generated classes (3)
+# Generated classes (7)
 # #########################################################################
 
 class Edge(BaseModel):
@@ -63,6 +63,32 @@ class Node(BaseModel):
     type: str
     description: str
 
+class SummarizedClass(BaseModel):
+    name: str
+    description: str
+    methods: typing.Optional[typing.List["SummarizedFunction"]] = None
+    decorators: typing.Optional[typing.List[str]] = None
+
+class SummarizedCode(BaseModel):
+    high_level_summary: str
+    key_features: typing.List[str]
+    imports: typing.List[str]
+    constants: typing.List[str]
+    classes: typing.List["SummarizedClass"]
+    functions: typing.List["SummarizedFunction"]
+    workflow_description: typing.Optional[str] = None
+
+class SummarizedContent(BaseModel):
+    summary: str
+    description: str
+
+class SummarizedFunction(BaseModel):
+    name: str
+    description: str
+    inputs: typing.Optional[typing.List[str]] = None
+    outputs: typing.Optional[typing.List[str]] = None
+    decorators: typing.Optional[typing.List[str]] = None
+
 # #########################################################################
 # Generated type aliases (0)
 # #########################################################################

cognee/infrastructure/llm/structured_output_framework/baml_src/config.py

@@ -1,5 +1,5 @@
 import os
-from typing import Optional
+from typing import Optional, ClassVar
 from functools import lru_cache
 from pydantic_settings import BaseSettings, SettingsConfigDict
 from pydantic import model_validator
@@ -48,18 +48,19 @@ class LLMConfig(BaseSettings):
     embedding_rate_limit_enabled: bool = False
     embedding_rate_limit_requests: int = 60
     embedding_rate_limit_interval: int = 60  # in seconds (default is 60 requests per minute)
-    baml_registry = ClientRegistry()
+    baml_registry: ClassVar[ClientRegistry] = ClientRegistry()
 
     model_config = SettingsConfigDict(env_file=".env", extra="allow")
 
-
-    baml_registry.add_llm_client(name=llm_provider, provider=llm_provider, options={
-        "model": llm_model,
-        "temperature": llm_temperature,
-        "api_key": llm_api_key
-    })
-    # Sets MyAmazingClient as the primary client
-    baml_registry.set_primary('openai')
+    def model_post_init(self, __context) -> None:
+        """Initialize the BAML registry after the model is created."""
+        self.baml_registry.add_llm_client(name=self.llm_provider, provider=self.llm_provider, options={
+            "model": self.llm_model,
+            "temperature": self.llm_temperature,
+            "api_key": self.llm_api_key
+        })
+        # Sets the primary client
+        self.baml_registry.set_primary(self.llm_provider)
 
     @model_validator(mode="after")
     def ensure_env_vars_for_ollama(self) -> "LLMConfig":

cognee/infrastructure/llm/structured_output_framework/baml_src/extract_content_graph.baml

@@ -19,6 +19,37 @@ class KnowledgeGraph {
     edges Edge[]
 }
 
+// Summarization classes
+class SummarizedContent {
+    summary string
+    description string
+}
+
+class SummarizedFunction {
+    name string
+    description string
+    inputs string[]?
+    outputs string[]?
+    decorators string[]?
+}
+
+class SummarizedClass {
+    name string
+    description string
+    methods SummarizedFunction[]?
+    decorators string[]?
+}
+
+class SummarizedCode {
+    high_level_summary string
+    key_features string[]
+    imports string[]
+    constants string[]
+    classes SummarizedClass[]
+    functions SummarizedFunction[]
+    workflow_description string?
+}
+
 // Simple template for basic extraction (fast, good quality)
 template_string ExtractContentGraphPrompt() #"
     You are an advanced algorithm that extracts structured data into a knowledge graph.
@@ -50,6 +81,28 @@ template_string ExtractContentGraphPrompt() #"
     - Follow these rules exactly. Non-compliance results in termination.
 "#
 
+// Summarization prompt template
+template_string SummarizeContentPrompt() #"
+    You are a top-tier summarization engine. Your task is to summarize text and make it versatile.
+    Be brief and concise, but keep the important information and the subject.
+    Use synonym words where possible in order to change the wording but keep the meaning.
+"#
+
+// Code summarization prompt template
+template_string SummarizeCodePrompt() #"
+    You are an expert code analyst. Analyze the provided source code and extract key information:
+
+    1. Provide a high-level summary of what the code does
+    2. List key features and functionality
+    3. Identify imports and dependencies
+    4. List constants and global variables
+    5. Summarize classes with their methods
+    6. Summarize standalone functions
+    7. Describe the overall workflow if applicable
+
+    Be precise and technical while remaining clear and concise.
+"#
+
 // Detailed template for complex extraction (slower, higher quality)
 template_string DetailedExtractContentGraphPrompt() #"
     You are a top-tier algorithm designed for extracting information in structured formats to build a knowledge graph.
@@ -325,6 +378,33 @@ function ExtractContentGraphWithAnthropic(
     "#
 }
 
+// Summarization functions
+function SummarizeContent(content: string) -> SummarizedContent {
+    client OpenAIClientWithEnvModel
+
+    prompt #"
+        {{ SummarizeContentPrompt() }}
+
+        {{ ctx.output_format(prefix="Answer in this schema:\n") }}
+
+        {{ _.role('user') }}
+        {{ content }}
+    "#
+}
+
+function SummarizeCode(content: string) -> SummarizedCode {
+    client OpenAIClientWithEnvModel
+
+    prompt #"
+        {{ SummarizeCodePrompt() }}
+
+        {{ ctx.output_format(prefix="Answer in this schema:\n") }}
+
+        {{ _.role('user') }}
+        {{ content }}
+    "#
+}
+
 test ExtractPersonExample {
     functions [ExtractContentGraph]
     args {
@@ -365,3 +445,31 @@ test ExtractGenericExample {
         mode "simple"
     }
 }
+
+test SummarizeContentExample {
+    functions [SummarizeContent]
+    args {
+        content #"
+            Natural language processing (NLP) is an interdisciplinary subfield of computer science and information retrieval.
+            It deals with the interaction between computers and human language, in particular how to program computers to process and analyze large amounts of natural language data.
+        "#
+    }
+}
+
+test SummarizeCodeExample {
+    functions [SummarizeCode]
+    args {
+        content #"
+            def fibonacci(n):
+                if n <= 1:
+                    return n
+                return fibonacci(n-1) + fibonacci(n-2)
+            
+            def main():
+                print(fibonacci(10))
+            
+            if __name__ == "__main__":
+                main()
+        "#
+    }
+}

cognee/infrastructure/llm/structured_output_framework/baml_src/extraction/__init__.py

@@ -1 +1,2 @@
 from .knowledge_graph.extract_content_graph import extract_content_graph
+from .extract_summary import extract_summary, extract_code_summary

cognee/infrastructure/llm/structured_output_framework/baml_src/extraction/extract_summary.py

@@ -0,0 +1,67 @@
+import os
+from typing import Type
+from pydantic import BaseModel
+from cognee.infrastructure.llm.structured_output_framework.baml.baml_client.async_client import b
+from cognee.infrastructure.llm.structured_output_framework.baml_src.config import get_llm_config
+from cognee.shared.data_models import SummarizedCode
+from cognee.tasks.summarization.mock_summary import get_mock_summarized_code
+from cognee.shared.logging_utils import get_logger
+from instructor.exceptions import InstructorRetryException
+
+logger = get_logger("extract_summary_baml")
+
+
+async def extract_summary(content: str, response_model: Type[BaseModel]):
+    """
+    Extract summary using BAML framework.
+    
+    Args:
+        content: The content to summarize
+        response_model: The Pydantic model type for the response
+        
+    Returns:
+        BaseModel: The summarized content in the specified format
+    """
+    config = get_llm_config()
+    
+    # Use BAML's SummarizeContent function
+    summary_result = await b.SummarizeContent(content, baml_options={"tb": config.baml_registry})
+    
+    # Convert BAML result to the expected response model
+    if response_model is SummarizedCode:
+        # If it's asking for SummarizedCode but we got SummarizedContent, 
+        # we need to use SummarizeCode instead
+        code_result = await b.SummarizeCode(content, baml_options={"tb": config.baml_registry})
+        return code_result
+    else:
+        # For other models, return the summary result
+        return summary_result
+
+
+async def extract_code_summary(content: str):
+    """
+    Extract code summary using BAML framework with mocking support.
+    
+    Args:
+        content: The code content to summarize
+        
+    Returns:
+        SummarizedCode: The summarized code information
+    """
+    enable_mocking = os.getenv("MOCK_CODE_SUMMARY", "false")
+    if isinstance(enable_mocking, bool):
+        enable_mocking = str(enable_mocking).lower()
+    enable_mocking = enable_mocking in ("true", "1", "yes")
+
+    if enable_mocking:
+        result = get_mock_summarized_code()
+        return result
+    else:
+        try:
+            config = get_llm_config()
+            result = await b.SummarizeCode(content, baml_options={"tb": config.baml_registry})
+        except Exception as e:
+            logger.error("Failed to extract code summary with BAML, falling back to mock summary", exc_info=e)
+            result = get_mock_summarized_code()
+
+        return result

cognee/infrastructure/llm/structured_output_framework/baml_src/extraction/knowledge_graph/extract_content_graph.py

@@ -1,8 +1,8 @@
 import os
 from typing import Type
 from pydantic import BaseModel
-from cognee.infrastructure.llm.structured_output_framework.baml.async_client import b
-from cognee.infrastructure.llm.structured_output_framework.baml.type_builder import TypeBuilder
+from cognee.infrastructure.llm.structured_output_framework.baml.baml_client.async_client import b
+from cognee.infrastructure.llm.structured_output_framework.baml.baml_client.type_builder import TypeBuilder
 from cognee.infrastructure.llm.structured_output_framework.baml_src.config import get_llm_config
 
 from cognee.shared.logging_utils import get_logger, setup_logging

cognee/tasks/graph/extract_graph_from_code.py

@@ -9,8 +9,10 @@ from cognee.base_config import get_base_config
 base = get_base_config()
 
 if base.structured_output_framework == 'BAML':
+    print(f"Using BAML framework: {base.structured_output_framework}")
     from cognee.infrastructure.llm.structured_output_framework.baml_src.extraction import extract_content_graph
 else:
+    print(f"Using llitellm_instructor framework: {base.structured_output_framework}")
     from cognee.infrastructure.llm.structured_output_framework.llitellm_instructor.extraction import extract_content_graph
 
 async def extract_graph_from_code(

cognee/tasks/graph/extract_graph_from_data.py

@@ -9,8 +9,10 @@ from cognee.modules.chunking.models.DocumentChunk import DocumentChunk
 from cognee.base_config import get_base_config
 base = get_base_config()
 if base.structured_output_framework == 'BAML':
+    print(f"Using BAML framework: {base.structured_output_framework}")
     from cognee.infrastructure.llm.structured_output_framework.baml_src.extraction import extract_content_graph
 else:
+    print(f"Using llitellm_instructor framework: {base.structured_output_framework}")
     from cognee.infrastructure.llm.structured_output_framework.llitellm_instructor.extraction import extract_content_graph
 
 from cognee.modules.graph.utils import (

cognee/tasks/summarization/summarize_code.py

@@ -3,7 +3,15 @@ from typing import AsyncGenerator, Union
 from uuid import uuid5
 
 from cognee.infrastructure.engine import DataPoint
-from cognee.infrastructure.llm.structured_output_framework.llitellm_instructor.extraction import extract_code_summary
+from cognee.base_config import get_base_config
+
+base = get_base_config()
+if base.structured_output_framework == 'BAML':
+    print(f"Using BAML framework for code summarization: {base.structured_output_framework}")
+    from cognee.infrastructure.llm.structured_output_framework.baml_src.extraction import extract_code_summary
+else:
+    print(f"Using llitellm_instructor framework for code summarization: {base.structured_output_framework}")
+    from cognee.infrastructure.llm.structured_output_framework.llitellm_instructor.extraction import extract_code_summary
 
 from .models import CodeSummary
 

cognee/tasks/summarization/summarize_text.py

@@ -2,7 +2,16 @@ import asyncio
 from typing import Type
 from uuid import uuid5
 from pydantic import BaseModel
-from cognee.infrastructure.llm.structured_output_framework.llitellm_instructor.extraction import extract_summary
+from cognee.base_config import get_base_config
+
+base = get_base_config()
+if base.structured_output_framework == 'BAML':
+    print(f"Using BAML framework for text summarization: {base.structured_output_framework}")
+    from cognee.infrastructure.llm.structured_output_framework.baml_src.extraction import extract_summary
+else:
+    print(f"Using llitellm_instructor framework for text summarization: {base.structured_output_framework}")
+    from cognee.infrastructure.llm.structured_output_framework.llitellm_instructor.extraction import extract_summary
+
 from cognee.modules.chunking.models.DocumentChunk import DocumentChunk
 from cognee.modules.cognify.config import get_cognify_config
 from .models import TextSummary