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agno-integrations

Integrate Agno agents with observability platforms and external services.

4|Updated Feb 19, 2026
Search Tags:#github#observability#tracing#slack#integrations#langfuse#a2a
One-click install
npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-integrations
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agno-integrations
Source: https://github.com/ajshedivy/agno-cookbook/tree/main/plugins/agno-framework/skills/agno-integrations
Command: npx skills add https://github.com/ajshedivy/agno-cookbook --skill agno-integrations

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires agno[opentelemetry], openinference-instrumentation-agno, opentelemetry-exporter-otlp, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill simplifies the integration of Agno agents with essential external systems, including observability platforms, communication tools, and other agent frameworks, enabling more robust and connected AI applications.

Core Features & Use Cases

  • Observability & Tracing: Integrate with OpenTelemetry, Langfuse, and Arize Phoenix for detailed monitoring and debugging of agent runs.
  • Inter-Agent Communication: Implement the Agent-to-Agent (A2A) protocol for seamless communication between different Agno agents.
  • External Service Integration: Connect agents to Slack, GitHub, Gmail, and more, allowing them to interact with these platforms directly.
  • Use Case: You can set up an agent to monitor GitHub issues, automatically respond to relevant comments via Slack, and log all activities to Langfuse for performance analysis.

Quick Start

Use the agno-integrations skill to set up tracing for your agent with Langfuse by following the provided Python example.

Frequently Asked Questions about agno-integrations

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I integrate Agno agents with OpenTelemetry for tracing?▼

To integrate Agno agents with OpenTelemetry, you use the agno-integrations skill to configure tracing via the openinference-instrumentation-agno package and export telemetry data using the opentelemetry-exporter-otlp dependency.

Can I connect my AI agent to Slack, GitHub, and Gmail directly?▼

Yes, you can connect AI agents directly to Slack, GitHub, and Gmail. The skill provides integration components that enable agents to interact with these external services and communicate with other agents via the A2A protocol.

What's the best way to monitor Agno agent runs in Langfuse?▼

The best way to monitor Agno agent runs in Langfuse is by applying the skill's observability integrations, which facilitate programmatic logging of agent events for detailed performance analysis and debugging.

Does this skill support inter-agent communication protocols?▼

Yes, the skill supports inter-agent communication protocols. It specifically implements the Agent-to-Agent (A2A) protocol, enabling seamless communication and connectivity between different Agno agents.

What observability platforms can I use for tracing AI agent activities?▼

You can use OpenTelemetry, Langfuse, and Arize Phoenix for tracing AI agent activities. These integrations allow comprehensive monitoring of agent runs and provide guidance on anti-patterns for robust integration.

Do I need specific dependencies to set up tracing for my agents?▼

Yes, you need specific dependencies including agno with opentelemetry extras, openinference-instrumentation-agno, and opentelemetry-exporter-otlp to properly set up tracing and export telemetry data for your agents.

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