CrewAI
How to use GATE/0 with CrewAI
Introduction
CrewAI is an open-source framework for orchestrating multi-agent systems, enabling collaborative AI workflows with specialized agents and structured task flows.
GATE/0 integrates seamlessly with CrewAI, allowing you to route all LLM requests through GATE/0’s API layer — unlocking cost tracking, custom labeling, and enhanced observability — with no changes to CrewAI’s core logic.
Using GATE/0 with CrewAI
Using GATE/0 with the OpenAI Agents SDK
Set up your OpenAI provider in GATE/0
Set up CrewAI
- Follow the official installation guide
- Build your first agent using the quickstart tutorial
Implement your agent
from crewai import Agent, Crew, Process, Task, LLM
from crewai.project import CrewBase, agent, crew, task
from crewai.agents.agent_builder.base_agent import BaseAgent
from typing import List
import os
llm = LLM(
model="openai/openai/gpt-4o", # Prefixed model name
base_url="https://gateway.gate.io/v1", # GATE0 cloud proxy URL
api_key=os.environ.get("GATE0_API_KEY"), # API key provided by GATE0
extra_headers={ # Custom labels
'x-gate0-label-project': 'alpha',
'x-gate0-label-client': 'frontend',
'x-gate0-label-env': 'prod'
}
)
@CrewBase
class CrewaiExamples():
"""CrewaiExamples crew"""
agents: List[BaseAgent]
tasks: List[Task]
@agent
def researcher(self) -> Agent:
return Agent(
config=self.agents_config['researcher'],
verbose=True,
llm=llm
)
@agent
def reporting_analyst(self) -> Agent:
return Agent(
config=self.agents_config['reporting_analyst'],
verbose=True,
llm=llm
)
@task
def research_task(self) -> Task:
return Task(
config=self.tasks_config['research_task'],
)
@task
def reporting_task(self) -> Task:
return Task(
config=self.tasks_config['reporting_task'],
output_file='report.md'
)
@crew
def crew(self) -> Crew:
"""Creates the CrewaiExamples crew"""
return Crew(
agents=self.agents,
tasks=self.tasks,
process=Process.sequential,
verbose=True,
)Explanation of the implementation
Each CrewAI agent is configured with a custom LLM instance that:
- Uses
https://gateway.gate0.io/v1as the base URL - Is authorized using your GATE/0 API key
- Uses a model name prefixed with the provider slug (e.g.,
openai/gpt-4oinstead ofgpt-4o)
Provider-prefixed model names
When defining a custom LLM in CrewAI, you need to use the provider-prefixed model name (e.g., openai/gpt-4o instead of gpt-4o).
This model name must be prefixed with the GATE/0 provider slug (e.g., openai for OpenAI, azure for Azure OpenAI, etc.),
meaning you need to use openai/openai/gpt-4o to access gpt-4o from OpenAI and azure/azure/gpt-4o to access gpt-4o from Azure OpenAI.
- Includes
extra_headersto attach custom labels for detailed cost tracking and analytics
This configuration allows you to plug GATE/0 directly into CrewAI without modifying how agents or tasks are defined.