CrewAI Built-in Tracing

CrewAI provides built-in tracing capabilities that allow you to monitor and debug your Crews and Flows in real-time. This guide demonstrates how to enable tracing for both Crews and Flows using CrewAI’s integrated observability platform.

What is CrewAI Tracing? CrewAI’s built-in tracing provides comprehensive observability for your AI agents, including agent decisions, task execution timelines, tool usage, and LLM calls - all accessible through the CrewAI AMP platform.

Prerequisites

Before you can use CrewAI tracing, you need:

CrewAI AMP Account: Sign up for a free account at app.crewai.com
CLI Authentication: Use the CrewAI CLI to authenticate your local environment

crewai login

Setup Instructions

Step 1: Create Your CrewAI AMP Account

Visit app.crewai.com and create your free account. This will give you access to the CrewAI AMP platform where you can view traces, metrics, and manage your crews.

Step 2: Install CrewAI CLI and Authenticate

If you haven’t already, install CrewAI with the CLI tools:

uv add 'crewai[tools]'

Then authenticate your CLI with your CrewAI AMP account:

crewai login

This command will:

Open your browser to the authentication page
Prompt you to enter a device code
Authenticate your local environment with your CrewAI AMP account
Enable tracing capabilities for your local development

Step 3: Enable Tracing in Your Crew

You can enable tracing for your Crew by setting the tracing parameter to True:

from crewai import Agent, Crew, Process, Task
from crewai_tools import SerperDevTool

# Define your agents
researcher = Agent(
    role="Senior Research Analyst",
    goal="Uncover cutting-edge developments in AI and data science",
    backstory="""You work at a leading tech think tank.
    Your expertise lies in identifying emerging trends.
    You have a knack for dissecting complex data and presenting actionable insights.""",
    verbose=True,
    tools=[SerperDevTool()],
)

writer = Agent(
    role="Tech Content Strategist",
    goal="Craft compelling content on tech advancements",
    backstory="""You are a renowned Content Strategist, known for your insightful and engaging articles.
    You transform complex concepts into compelling narratives.""",
    verbose=True,
)

# Create tasks for your agents
research_task = Task(
    description="""Conduct a comprehensive analysis of the latest advancements in AI in 2024.
    Identify key trends, breakthrough technologies, and potential industry impacts.""",
    expected_output="Full analysis report in bullet points",
    agent=researcher,
)

writing_task = Task(
    description="""Using the insights provided, develop an engaging blog
    post that highlights the most significant AI advancements.
    Your post should be informative yet accessible, catering to a tech-savvy audience.""",
    expected_output="Full blog post of at least 4 paragraphs",
    agent=writer,
)

# Enable tracing in your crew
crew = Crew(
    agents=[researcher, writer],
    tasks=[research_task, writing_task],
    process=Process.sequential,
    tracing=True,  # Enable built-in tracing
    verbose=True
)

# Execute your crew
result = crew.kickoff()

Step 4: Enable Tracing in Your Flow

Similarly, you can enable tracing for CrewAI Flows:

from crewai.flow.flow import Flow, listen, start
from pydantic import BaseModel

class ExampleState(BaseModel):
    counter: int = 0
    message: str = ""

class ExampleFlow(Flow[ExampleState]):
    def __init__(self):
        super().__init__(tracing=True)  # Enable tracing for the flow

    @start()
    def first_method(self):
        print("Starting the flow")
        self.state.counter = 1
        self.state.message = "Flow started"
        return "continue"

    @listen("continue")
    def second_method(self):
        print("Continuing the flow")
        self.state.counter += 1
        self.state.message = "Flow continued"
        return "finish"

    @listen("finish")
    def final_method(self):
        print("Finishing the flow")
        self.state.counter += 1
        self.state.message = "Flow completed"

# Create and run the flow with tracing enabled
flow = ExampleFlow(tracing=True)
result = flow.kickoff()

Step 5: View Traces in the CrewAI AMP Dashboard

After running the crew or flow, you can view the traces generated by your CrewAI application in the CrewAI AMP dashboard. You should see detailed steps of the agent interactions, tool usages, and LLM calls. Just click on the link below to view the traces or head over to the traces tab in the dashboard here

Alternative: Environment Variable Configuration

You can also enable tracing globally by setting an environment variable:

export CREWAI_TRACING_ENABLED=true

Or add it to your .env file:

CREWAI_TRACING_ENABLED=true

When this environment variable is set, all Crews and Flows will automatically have tracing enabled, even without explicitly setting tracing=True.

Viewing Your Traces

Access the CrewAI AMP Dashboard

Visit app.crewai.com and log in to your account
Navigate to your project dashboard
Click on the Traces tab to view execution details

What You’ll See in Traces

CrewAI tracing provides comprehensive visibility into:

Agent Decisions: See how agents reason through tasks and make decisions
Task Execution Timeline: Visual representation of task sequences and dependencies
Tool Usage: Monitor which tools are called and their results
LLM Calls: Track all language model interactions, including prompts and responses
Performance Metrics: Execution times, token usage, and costs
Error Tracking: Detailed error information and stack traces

Trace Features

Execution Timeline: Click through different stages of execution
Detailed Logs: Access comprehensive logs for debugging
Performance Analytics: Analyze execution patterns and optimize performance
Export Capabilities: Download traces for further analysis

Authentication Issues

If you encounter authentication problems:

Ensure you’re logged in: crewai login
Check your internet connection
Verify your account at app.crewai.com

Traces Not Appearing

If traces aren’t showing up in the dashboard:

Confirm tracing=True is set in your Crew/Flow
Check that CREWAI_TRACING_ENABLED=true if using environment variables
Ensure you’re authenticated with crewai login
Verify your crew/flow is actually executing

​CrewAI Built-in Tracing

​Prerequisites

​Setup Instructions

​Step 1: Create Your CrewAI AMP Account

​Step 2: Install CrewAI CLI and Authenticate

​Step 3: Enable Tracing in Your Crew

​Step 4: Enable Tracing in Your Flow

​Step 5: View Traces in the CrewAI AMP Dashboard

​Alternative: Environment Variable Configuration

​Viewing Your Traces

​Access the CrewAI AMP Dashboard

​What You’ll See in Traces

​Trace Features

​Authentication Issues

​Traces Not Appearing