OpenTelemetry instrumentation for Crewai
Project description
Crewai OpenTelemetry Integration
Overview
This integration provides support for using OpenTelemetry with the Crewai framework. It enables tracing and monitoring of applications built with Crewai.
Installation
- Install traceAI Crewai
pip install traceAI-crewai
- Install Crewai and Crewai_tools
pip install crewai crewai_tools
Set Environment Variables
Set up your environment variables to authenticate with FutureAGI
import os
os.environ["FI_API_KEY"] = FI_API_KEY
os.environ["FI_SECRET_KEY"] = FI_SECRET_KEY
Quickstart
Register Tracer Provider
Set up the trace provider to establish the observability pipeline. The trace provider:
from fi_instrumentation import register
from fi_instrumentation.fi_types import ProjectType
trace_provider = register(
project_type=ProjectType.OBSERVE,
project_name="crewai_app"
)
Configure Crewai Instrumentation
Instrument the Crewai client to enable telemetry collection. This step ensures that all interactions with the Crewai SDK are tracked and monitored.
from traceai_crewai import CrewAIInstrumentor
CrewAIInstrumentor().instrument(tracer_provider=trace_provider)
Create Crewai Components
Set up your Crewai client with built-in observability.
from crewai import LLM, Agent, Crew, Process, Task
from crewai_tools import SerperDevTool
def story_example():
llm = LLM(
model="gpt-4",
temperature=0.8,
max_tokens=150,
top_p=0.9,
frequency_penalty=0.1,
presence_penalty=0.1,
stop=["END"],
seed=42,
)
writer = Agent(
role="Writer",
goal="Write creative stories",
backstory="You are a creative writer with a passion for storytelling",
allow_delegation=False,
llm=llm,
)
writing_task = Task(
description="Write a short story about a magical forest",
agent=writer,
expected_output="A short story about a magical forest",
)
crew = Crew(agents=[writer], tasks=[writing_task])
# Execute the crew
result = crew.kickoff()
print(result)
if __name__ == "__main__":
story_example()
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