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Slack
Connect Slack to send experiment diffs and monitor alerts to the right channels for rapid visibility. Enable your team to stay informed about critical AI system changes without leaving their collaborative workspace.
Slack integration provides real-time notifications about experiment results, system alerts, and important changes to your AI workflows. By bringing these notifications directly into team channels, you can maintain awareness while avoiding notification fatigue.
Use channel mapping to route alerts by project or environment and reduce noise. Include deep links in notifications so your team can jump directly to the relevant views for immediate action or investigation.
Setup and Configuration
- 1
Install Slack app Add the Evaligo Slack app to your workspace with appropriate permissions.
- 2
Configure channels Set up primary channels for different types of notifications.
- 3
Test integration Send test messages to verify the integration is working correctly.
from evaligo import Client
client = Client()
# Configure Slack integration
slack_config = client.integrations.slack.configure(
workspace_id="T1234567890",
bot_token="xoxb-your-bot-token",
default_channels={
"alerts": "#ai-alerts",
"experiments": "#ai-experiments"
}
)
# Test the integration
test_result = client.integrations.slack.test_connection(
channel="#ai-experiments",
message="Evaligo Slack integration is now active! 🚀"
)Bot Permissions: Ensure the Slack bot has permissions to post messages, upload files, and read channel information. Avoid granting unnecessary permissions to maintain security.
Routing and Deep Links
Configure routing rules to send different types of notifications to appropriate channels. Include deep links so team members can quickly access relevant views for investigation or action.
Audit delivery history and handle failures to maintain trust in alerting. Monitor notification delivery rates and investigate failures promptly to ensure critical messages reach their intended recipients.
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