WIP.

src/crewai/pipeline/__init__.py

@@ -1,3 +1,5 @@
 from crewai.pipeline.pipeline import Pipeline
+from crewai.pipeline.pipeline_output import PipelineOutput
+from crewai.pipeline.pipeline_run_result import PipelineRunResult
 
-__all__ = ["Pipeline"]
+__all__ = ["Pipeline", "PipelineOutput", "PipelineRunResult"]

src/crewai/pipeline/pipeline.py

@@ -2,19 +2,17 @@ from __future__ import annotations
 
 import asyncio
 import copy
-from typing import TYPE_CHECKING, Any, Dict, List, Tuple, Union
+from typing import Any, Dict, List, Tuple, Union
 
 from pydantic import BaseModel, Field, model_validator
 
 from crewai.crew import Crew
 from crewai.crews.crew_output import CrewOutput
 from crewai.pipeline.pipeline_run_result import PipelineRunResult
+from crewai.routers.pipeline_router import PipelineRouter
 from crewai.types.pipeline_stage import PipelineStage
 from crewai.types.usage_metrics import UsageMetrics
 
-if TYPE_CHECKING:
-    from crewai.routers.pipeline_router import PipelineRouter
-
 Trace = Union[Union[str, Dict[str, Any]], List[Union[str, Dict[str, Any]]]]
 
 
@@ -54,7 +52,7 @@ Handling Traces and Crew Outputs:
 Pipeline Terminology:
 - Pipeline: The overall structure that defines a sequence of operations.
 - Stage: A distinct part of the pipeline, which can be either sequential or parallel.
-- Run: A specific execution of the pipeline for a given set of inputs, representing a single instance of processing through the pipeline.
+- Kickoff: A specific execution of the pipeline for a given set of inputs, representing a single instance of processing through the pipeline.
 - Branch: Parallel executions within a stage (e.g., concurrent crew operations).
 - Trace: The journey of an individual input through the entire pipeline.
 
@@ -408,3 +406,6 @@ class Pipeline(BaseModel):
             raise TypeError(
                 f"Unsupported operand type for >>: '{type(self).__name__}' and '{type(other).__name__}'"
             )
+
+
+Pipeline.model_rebuild()

src/crewai/pipeline/pipeline_run_result.py

@@ -8,7 +8,7 @@ from crewai.crews.crew_output import CrewOutput
 from crewai.types.usage_metrics import UsageMetrics
 
 
-class PipelineRunResult(BaseModel):
+class PipelineKickoffResult(BaseModel):
     """Class that represents the result of a pipeline run."""
 
     id: UUID4 = Field(

src/crewai/routers/pipeline_router.py

@@ -3,20 +3,21 @@ from typing import Any, Callable, Dict, Tuple, Union
 from pydantic import BaseModel, Field
 
 from crewai.pipeline.pipeline import Pipeline
-
+from crewai.types.route import Route
-RouteType = Tuple[Callable[[Dict[str, Any]], bool], Pipeline]
 
 
 class PipelineRouter(BaseModel):
-    routes: Dict[str, RouteType] = Field(
+    routes: Dict[str, Route] = Field(
         default_factory=dict,
         description="Dictionary of route names to (condition, pipeline) tuples",
     )
-    default: Pipeline = Field(
+    default: "Pipeline" = Field(
         ..., description="Default pipeline if no conditions are met"
     )
 
-    def __init__(self, *routes: Union[Tuple[str, RouteType], Pipeline], **data):
+    def __init__(self, *routes: Union[Tuple[str, Route], "Pipeline"], **data):
+        from crewai.pipeline.pipeline import Pipeline
+
         routes_dict = {}
         default_pipeline = None
 
@@ -41,7 +42,10 @@ class PipelineRouter(BaseModel):
         super().__init__(routes=routes_dict, default=default_pipeline, **data)
 
     def add_route(
-        self, name: str, condition: Callable[[Dict[str, Any]], bool], pipeline: Pipeline
+        self,
+        name: str,
+        condition: Callable[[Dict[str, Any]], bool],
+        pipeline: "Pipeline",
     ) -> "PipelineRouter":
         """
         Add a named route with its condition and corresponding pipeline to the router.
@@ -57,7 +61,7 @@ class PipelineRouter(BaseModel):
         self.routes[name] = (condition, pipeline)
         return self
 
-    def route(self, input_dict: Dict[str, Any]) -> Tuple[Pipeline, str]:
+    def route(self, input_dict: Dict[str, Any]) -> Tuple["Pipeline", str]:
         """
         Evaluate the input against the conditions and return the appropriate pipeline.
 
@@ -72,3 +76,6 @@ class PipelineRouter(BaseModel):
                 return pipeline, name
 
         return self.default, "default"
+
+
+PipelineRouter.model_rebuild()

src/crewai/types/route.py

@@ -0,0 +1,5 @@
+from typing import Any, Callable, Dict, Tuple
+
+from crewai.pipeline.pipeline import Pipeline
+
+Route = Tuple[Callable[[Dict[str, Any]], bool], Pipeline]

tests/pipeline/test_pipeline.py

@@ -8,7 +8,6 @@ from crewai.crews.crew_output import CrewOutput
 from crewai.pipeline.pipeline import Pipeline
 from crewai.pipeline.pipeline_run_result import PipelineRunResult
 from crewai.process import Process
-from crewai.routers.pipeline_router import PipelineRouter
 from crewai.task import Task
 from crewai.tasks.task_output import TaskOutput
 from crewai.types.usage_metrics import UsageMetrics
@@ -65,9 +64,9 @@ def mock_crew_factory():
     return _create_mock_crew
 
 
-@pytest.fixture
+# @pytest.fixture
-def pipeline_router_factory():
+# def pipeline_router_factory():
-    return PipelineRouter()
+#     return PipelineRouter()
 
 
 def test_pipeline_initialization(mock_crew_factory):