CrewAI

pip install 'crewai[a2a]'

from crewai import Agent, Crew, Task
from crewai.a2a import A2AServerConfig

analyst = Agent(
    role="News Analyst",
    goal="Assess whether news is material to a company",
    backstory="Expert at filtering signal from noise in financial news",
    llm="gpt-4o",
    a2a=A2AServerConfig(
        url="https://your-server.com",
        port=8000,
    ),
)

task = Task(
    description="Analyze the given news item for the specified company",
    expected_output="Salience assessment with rationale",
    agent=analyst,
)

crew = Crew(agents=[analyst], tasks=[task])

if __name__ == "__main__":
    crew.serve(port=8000)

https://your-server.com/.well-known/agent.json

pip install 'crewai[a2a]' python-dotenv

import os
from dotenv import load_dotenv

from crewai.a2a.auth.client_schemes import APIKeyAuth
from crewai.a2a.utils.delegation import execute_a2a_delegation

load_dotenv()

endpoint = os.environ["KOVREX_AGENT_URL"]  # e.g. https://gateway.kovrex.ai/a2a/your-agent-slug
api_key = os.environ["KOVREX_API_KEY"]

result = execute_a2a_delegation(
    endpoint=endpoint,
    auth=APIKeyAuth(api_key=api_key, name="X-API-Key", location="header"),
    timeout=120,
    task_description="Analyze the given news item for Microsoft and return salience score + rationale",
)

print(result.status.state)
print(result.output)