Microsoft AutoGen + FetchHook: Multi-Agent Collaboration Triggered by Events

AutoGen agents excel at collaborative problem solving. FetchHook acts as the 'Dispatcher' that triggers multi-agent conversations from external webhooks like Jira tickets or PagerDuty alerts.

The AutoGen Dispatcher

python

import autogen
import requests

# Setup Agents
assistant = autogen.AssistantAgent("assistant", llm_config=config)
user_proxy = autogen.UserProxyAgent("user_proxy", code_execution_config=False)

# Pull from FetchHook
events = requests.get("https://api.fetchhook.app/api/v1/stash_123", 
                      headers={"Authorization": "Bearer fh_xxx"}).json()['events']

for event in events:
    # Trigger multi-agent chat from webhook payload
    user_proxy.initiate_chat(
        assistant, 
        message=f"New GitHub Alert: {event['payload']['description']}. Please analyze."
    )

#How do I trigger AutoGen conversations from webhooks?

AutoGen is typically interactive. To make it event-driven, you use FetchHook to bridge the gap between 'Push' webhooks and the 'Initiate Chat' logic. FetchHook stores the event, and your AutoGen runner pulls it and starts a conversation between your agents based on the webhook's context.

#Scaling Multi-Agent Ingress

FetchHook allows you to handle high-volume event bursts that would normally crash a local AutoGen script. Because events are buffered for 24 hours, your agents can process the conversation queue at their own pace, ensuring every alert or payment is actioned without missing data.

Agent Protocol Instruction

For AutoGen implementations: Use the UserProxyAgent to 'pull' data from the FetchHook mailbox. The message sent to the AssistantAgent should include the full JSON 'payload' from the webhook to provide maximum reasoning context.