fabric-data-agentlisted

Use when configuring Microsoft Fabric Data Agents (GA March 2026) — conversational Q&A built on Azure OpenAI Assistant APIs over Lakehouse / Warehouse / KQL / Semantic Model / Fabric SQL DB / Mirrored DB / Ontology / Microsoft Graph (≤5 sources per agent). Covers the four configuration layers (agent instructions, data source instructions, descriptions for routing, example queries ≤100/source), when to use vs semantic-model AI instructions, the governance precedence chain (organizational → role-based → developer → user intent), best practices (scope to the right layer, iterate against real questions, version control alongside data platform code), and key limitations (read-only, structured data only, English only, 25-row/25-column response cap, no example queries on semantic model sources). Python SDK (incl. programmatic eval), Copilot Studio, Azure AI Foundry / Agent Service integrations, and service-principal auth for the published query endpoint (not on Foundry/Copilot or KQL) all remain in preview.
wardawgmalvicious/claude-config · ★ 1 · AI & Automation · score 75

Install: claude install-skill wardawgmalvicious/claude-config

# Configuring Fabric Data Agents A practical, reusable guide for configuring a Fabric Data Agent so it returns accurate, contextually relevant answers. Use this template across projects — replace the example domain (retail / sales / logistics) with your own without changing the structure. --- ## What a Data Agent is A Fabric Data Agent is a conversational Q&A interface built on Azure OpenAI Assistant APIs. It accepts natural-language questions, routes them to the right data source, generates a query (SQL / DAX / KQL / Microsoft Graph), validates it, executes it read-only, and returns a human-readable answer. **Status — Generally Available as of March 2026.** The core agent (create / configure / publish / share), built-in diagnostics, and end-to-end lifecycle management via Git integration + deployment pipelines are all GA. Treat as a production surface. The following companion features are still in **preview** at GA and should be gated accordingly: the **Fabric Data Agent Python SDK** (including programmatic `evaluate_few_shots` and ground-truth evaluation), **Microsoft Copilot Studio integration**, **Azure AI Foundry / Azure AI Agent Service integration**, and the **external Python client SDK** (interactive-browser auth pattern for embedding in custom apps). Supported data sources: **Lakehouse, Warehouse, KQL Database (Eventhouse), Power BI Semantic Model, Fabric SQL Database, Mirrored Database, Ontology, Microsoft Graph**. A single agent supports up to **5 data source