feat: add prompt observability code (#2027)

* feat: add prompt observability code

* feat: improve logic for llm call

* feat: add tests for traces

* feat: remove unused improt

* feat: add function to clear and add task traces

* feat: fix import

* feat:  chagne time

* feat: fix type checking issues

* feat: add fixed time to fix test

* feat: fix datetime test issue

* feat: add add task traces function

* feat: add same logic as entp

* feat: add start_time as reference for duplication of tool call

* feat: add max_depth

* feat: add protocols file to properly import on LLM

---------

Co-authored-by: Brandon Hancock (bhancock_ai) <109994880+bhancockio@users.noreply.github.com>
This commit is contained in:
Eduardo Chiarotti
2025-02-19 08:52:30 -03:00
committed by GitHub
parent 1cb5f57864
commit 90f1bee602
12 changed files with 1254 additions and 48 deletions

View File

@@ -30,6 +30,10 @@ from crewai.flow.flow_visualizer import plot_flow
from crewai.flow.persistence.base import FlowPersistence
from crewai.flow.utils import get_possible_return_constants
from crewai.telemetry import Telemetry
from crewai.traces.unified_trace_controller import (
init_flow_main_trace,
trace_flow_step,
)
from crewai.utilities.printer import Printer
logger = logging.getLogger(__name__)
@@ -753,8 +757,12 @@ class Flow(Generic[T], metaclass=FlowMeta):
if inputs is not None and "id" not in inputs:
self._initialize_state(inputs)
return asyncio.run(self.kickoff_async())
async def run_flow():
return await self.kickoff_async()
return asyncio.run(run_flow())
@init_flow_main_trace
async def kickoff_async(self, inputs: Optional[Dict[str, Any]] = None) -> Any:
if not self._start_methods:
raise ValueError("No start method defined")
@@ -804,6 +812,7 @@ class Flow(Generic[T], metaclass=FlowMeta):
)
await self._execute_listeners(start_method_name, result)
@trace_flow_step
async def _execute_method(
self, method_name: str, method: Callable, *args: Any, **kwargs: Any
) -> Any: