AI SummaryADK Multi-Agent Architecture enables developers to build serverless AI agents with function calling capabilities integrated directly into workflows, ideal for DevOps, SRE, and automation teams needing intelligent decision-making at scale.
Install
Copy this and paste it into Claude Code, Cursor, or any AI assistant:
I want to set up the "ADK Multi-Agent Architecture" agent in my project. Please run this command in my terminal: # Add AGENTS.md to your project root curl --retry 3 --retry-delay 2 --retry-all-errors -o AGENTS.md "https://raw.githubusercontent.com/kubiyabot/sdk-py/main/docs/kubiya/providers/adk/agents.mdx" Then explain what the agent does and how to invoke it.
Description
Deep dive into ADK's serverless AI agents and function calling
Custom Tools
Add custom tools to agents: `python from kubiya.providers.adk.tools import Tool
Serverless AI Agents at Your Service
<Card title="🚀 Serverless Agents with Function Calling" icon="robot"> ADK exposes Kubiya's serverless AI agents that leverage state-of-the-art techniques: • Function Calling: Agents use simple function calls to execute workflow tools • Serverless Execution: Spin up on-demand, no persistent processes • Tool Integration: Seamlessly call workflow steps as functions • Best-in-Class Models: Leverages top AI models for reasoning • Deterministic Outputs: Structured responses that fit into workflows </Card>
The Power of Inline Agents
Unlike traditional agent frameworks that require complex setups, Kubiya's inline agents are: • Just workflow steps - No separate agent infrastructure • Function-based - Agents call tools through simple function interfaces • Context-aware - Access workflow state and previous outputs • Serverless - No always-on processes consuming resources • Integrated - Part of your workflow DAG, not external `python
Serverless agent as a workflow step
.step("intelligent-analysis") .inline_agent( message="Analyze system health and recommend actions", agent_name="sre-assistant", ai_instructions="You are an SRE expert. Use the provided tools to gather metrics.", # Agent uses function calling to execute tools tools=[ { "name": "get_cpu_usage", "type": "function", "description": "Get current CPU usage across pods", "implementation": "kubectl top pods | awk '{print $2}'" }, { "name": "check_error_logs", "type": "function", "description": "Count errors in application logs", "implementation": "kubectl logs -l app=myapp | grep ERROR | wc -l" } ], runners=["kubiya-hosted"] # Serverless execution ) .output("SRE_ANALYSIS") `
Discussion
Health Signals
My Fox Den
Community Rating
Sign in to rate this booster