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bugfix/eve
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docs/impro
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ee78446cc5 | ||
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50fe5080e6 | ||
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e1b8394265 |
@@ -1,6 +1,6 @@
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{
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"$schema": "https://mintlify.com/docs.json",
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"theme": "palm",
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"theme": "mint",
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"name": "CrewAI",
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"colors": {
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"primary": "#EB6658",
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@@ -8,6 +8,10 @@ icon: meteor
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With [Comet Opik](https://www.comet.com/docs/opik/), debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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<Frame caption="Opik Agent Dashboard">
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<img src="/images/opik-crewai-dashboard.png" alt="Opik agent monitoring example with CrewAI" />
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</Frame>
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Opik provides comprehensive support for every stage of your CrewAI application development:
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- **Log Traces and Spans**: Automatically track LLM calls and application logic to debug and analyze development and production systems. Manually or programmatically annotate, view, and compare responses across projects.
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@@ -27,7 +31,7 @@ For this guide we will use CrewAI’s quickstart example.
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<Steps>
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<Step title="Install required packages">
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```shell
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%pip install crewai crewai-tools opik --upgrade
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pip install crewai crewai-tools opik --upgrade
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```
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</Step>
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<Step title="Configure Opik">
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@@ -35,8 +39,10 @@ For this guide we will use CrewAI’s quickstart example.
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import opik
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opik.configure(use_local=False)
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```
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</Step>
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<Step title="Prepare environment">
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First, we set up our API keys for our LLM-provider as environment variables:
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```python
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import os
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import getpass
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@@ -47,53 +53,56 @@ For this guide we will use CrewAI’s quickstart example.
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</Step>
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<Step title="Using CrewAI">
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The first step is to create our project. We will use an example from CrewAI’s documentation:
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```python
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from crewai import Agent, Crew, Task, Process
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class YourCrewName:
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def agent_one(self) -> Agent:
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return Agent(
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role="Data Analyst",
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goal="Analyze data trends in the market",
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backstory="An experienced data analyst with a background in economics",
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verbose=True,
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)
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class YourCrewName:
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def agent_one(self) -> Agent:
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return Agent(
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role="Data Analyst",
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goal="Analyze data trends in the market",
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backstory="An experienced data analyst with a background in economics",
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verbose=True,
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)
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def agent_two(self) -> Agent:
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return Agent(
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role="Market Researcher",
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goal="Gather information on market dynamics",
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backstory="A diligent researcher with a keen eye for detail",
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verbose=True,
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)
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def agent_two(self) -> Agent:
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return Agent(
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role="Market Researcher",
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goal="Gather information on market dynamics",
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backstory="A diligent researcher with a keen eye for detail",
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verbose=True,
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)
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def task_one(self) -> Task:
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return Task(
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name="Collect Data Task",
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description="Collect recent market data and identify trends.",
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expected_output="A report summarizing key trends in the market.",
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agent=self.agent_one(),
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)
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def task_one(self) -> Task:
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return Task(
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name="Collect Data Task",
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description="Collect recent market data and identify trends.",
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expected_output="A report summarizing key trends in the market.",
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agent=self.agent_one(),
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)
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def task_two(self) -> Task:
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return Task(
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name="Market Research Task",
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description="Research factors affecting market dynamics.",
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expected_output="An analysis of factors influencing the market.",
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agent=self.agent_two(),
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)
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def task_two(self) -> Task:
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return Task(
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name="Market Research Task",
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description="Research factors affecting market dynamics.",
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expected_output="An analysis of factors influencing the market.",
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agent=self.agent_two(),
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)
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def crew(self) -> Crew:
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return Crew(
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agents=[self.agent_one(), self.agent_two()],
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tasks=[self.task_one(), self.task_two()],
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process=Process.sequential,
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verbose=True,
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)
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def crew(self) -> Crew:
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return Crew(
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agents=[self.agent_one(), self.agent_two()],
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tasks=[self.task_one(), self.task_two()],
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process=Process.sequential,
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verbose=True,
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)
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```
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Now we can import Opik’s tracker and run our crew:
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```python
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from opik.integrations.crewai import track_crewai
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@@ -109,10 +118,6 @@ class YourCrewName:
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- Agent interactions and task execution flow
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- Performance metrics like latency and token usage
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- Evaluation metrics (built-in or custom)
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<Frame caption="Opik Agent Dashboard">
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<img src="/images/opik-crewai-dashboard.png" alt="Opik agent monitoring example with CrewAI" />
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</Frame>
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</Step>
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</Steps>
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@@ -507,9 +507,10 @@ class ConsoleFormatter:
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# Remove the thinking status node when complete
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if "Thinking" in str(tool_branch.label):
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agent_branch.children.remove(tool_branch)
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self.print(crew_tree)
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self.print()
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if tool_branch in agent_branch.children:
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agent_branch.children.remove(tool_branch)
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self.print(crew_tree)
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self.print()
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def handle_llm_call_failed(
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self, tool_branch: Optional[Tree], error: str, crew_tree: Optional[Tree]
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@@ -587,6 +588,7 @@ class ConsoleFormatter:
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for child in flow_tree.children:
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if "Running tests" in str(child.label):
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child.label = Text("✅ Tests completed successfully", style="green")
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break
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self.print(flow_tree)
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self.print()
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