genie-integration
CommunityTurn Genie spaces into AI tools for agents.
Authorjuanlamadrid20
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Integrate Databricks Genie rooms as tools in AI agent workflows, enabling seamless use of Genie as a data source and conversational interface within automated agents.
Core Features & Use Cases
- SDK-based integration: direct programmatic control of Genie rooms via the Databricks Python SDK, starting conversations and polling results.
- MCP tool integration: pre-configured, higher-level tool interfaces for common Genie workflows with built-in polling and error handling.
- Conversation management and error handling: maintain context across messages, handle timeouts and failures gracefully.
- Performance optimization patterns: caching responses and parallel querying to improve latency and throughput.
- Use cases: build agents that answer natural language questions by querying Genie spaces, or orchestrate tool calls across multiple Genie spaces for complex analyses.
Quick Start
Configure a Genie space in your environment and begin querying it from your agent using the SDK or MCP approach.
Dependency Matrix
Required Modules
None requiredComponents
references
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: genie-integration Download link: https://github.com/juanlamadrid20/dbrx-multi-agent-retail-intelligence/archive/main.zip#genie-integration Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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