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Eventstream Consumption Cli

  • 89 installs
  • 934 repo stars
  • Updated July 30, 2026
  • microsoft/skills-for-fabric

eventstream-consumption-cli is an agent skill for listing, inspecting, and monitoring Fabric Eventstream pipelines and topologies.

About

The eventstream-consumption-cli skill lists, inspects, and monitors Microsoft Fabric Eventstream real-time ingestion pipelines via the Fabric Items REST API. It discovers Eventstreams in workspaces, fetches definitions, base64-decodes eventstream.json graph topologies, and traces flow from sources through operators to destination nodes. Validation covers source connection IDs, destination wiring, retention policies between one and ninety days, and throughput level settings. Monitoring workflows check health, explain topology to users, and correlate downstream analytics targets such as Eventhouse, Lakehouse, Activator, and Real-Time Hub integrations. Listing uses GET workspace eventstreams endpoints with JMESPath name filters, while definition inspection retrieves and decodes graph JSON for operator and stream analysis. The skill distinguishes Eventstream routing pipelines from Eventhouse KQL consumption skills. Gotchas reference COMMON-CLI workspace discovery, wrong token audience 401 errors, and base64 definition decoding requirements. Triggers include list eventstreams, inspect topology, eventstream health, describe configuration, and check retention or throughput settings.

  • Lists and inspects Fabric Eventstreams via Items REST API.
  • Decodes base64 definitions to trace source-operator-destination graphs.
  • Validates retention policies, throughput, and connection wiring.
  • Distinguishes Eventstream pipelines from Eventhouse KQL skills.
  • Supports health and configuration monitoring workflows.

Eventstream Consumption Cli by the numbers

  • 89 all-time installs (skills.sh)
  • +6 installs in the week ending Aug 4, 2026 (Skillselion tracking)
  • Ranked #3,022 of 4,347 Backend & APIs skills by installs in the Skillselion catalog
  • Data as of Aug 5, 2026 (Skillselion catalog sync)
At a glance

eventstream-consumption-cli capabilities & compatibility

Capabilities
workspace eventstream listing and lookup · base64 definition decode and graph tracing · source and destination configuration validation · retention and throughput policy inspection · health and explain topology monitoring workflows
Works with
azure
Use cases
data analysis · devops
From the docs

What eventstream-consumption-cli says it does

List, inspect, and monitor Microsoft Fabric Eventstream real-time event ingestion pipelines via the Fabric Items REST API.
SKILL.md
Eventstream ≠ Eventhouse. Eventstream is a real-time event ingestion and routing pipeline.
SKILL.md
npx skills add https://github.com/microsoft/skills-for-fabric --skill eventstream-consumption-cli

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Listed on Skillselion
Installs89
repo stars934
Last updatedJuly 30, 2026
Repositorymicrosoft/skills-for-fabric

How do I inspect a Fabric Eventstream topology and validate its sources, destinations, and retention settings?

List, inspect, and validate Fabric Eventstream topologies, retention, throughput, and source or destination wiring.

Who is it for?

Data platform operators monitoring Fabric Eventstream ingestion and routing configurations.

Skip if: Skip for authoring new Eventstream topologies or running Eventhouse KQL queries.

When should I use this skill?

User asks to list, inspect, explain, or health-check a Fabric Eventstream configuration.

What you get

Decoded topology trace with validated wiring, retention, throughput, and health findings for the Eventstream.

Files

SKILL.mdMarkdownGitHub ↗
Update Check — ONCE PER SESSION (mandatory)
The first time this skill is used in a session, run the check-updates skill before proceeding.
- GitHub Copilot CLI / VS Code: invoke the check-updates skill.
- Claude Code / Cowork / Cursor / Windsurf / Codex: compare local vs remote package.json version.
- Skip if the check was already performed earlier in this session.
CRITICAL NOTES
1. To find the workspace details (including its ID) from workspace name: list all workspaces and, then, use JMESPath filtering
2. To find the item details (including its ID) from workspace ID, item type, and item name: list all items of that type in that workspace and, then, use JMESPath filtering
3. Eventstream ≠ Eventhouse. Eventstream is a real-time event ingestion and routing pipeline. For KQL queries, use eventhouse-consumption-cli.

Eventstream Consumption — CLI Skill

Table of Contents

TaskReferenceNotes
Finding Workspaces and Items in FabricCOMMON-CLI.md § Finding Workspaces and Items in FabricMandatoryREAD link first [needed for finding workspace id by its name or item id by its name, item type, and workspace id]
Fabric Topology & Key ConceptsCOMMON-CORE.md § Fabric Topology & Key Concepts
Environment URLsCOMMON-CORE.md § Environment URLs
Authentication & Token AcquisitionCOMMON-CORE.md § Authentication & Token AcquisitionWrong audience = 401; read before any auth issue
Core Control-Plane REST APIsCOMMON-CORE.md § Core Control-Plane REST APIsIncludes pagination, LRO polling, and rate-limiting patterns
Gotchas, Best Practices & TroubleshootingCOMMON-CORE.md § Gotchas, Best Practices & Troubleshooting
Tool Selection RationaleCOMMON-CLI.md § Tool Selection Rationale
Authentication RecipesCOMMON-CLI.md § Authentication Recipesaz login flows and token acquisition
Fabric Control-Plane API via az restCOMMON-CLI.md § Fabric Control-Plane API via az restAlways pass `--resource`; includes pagination and LRO helpers
Gotchas & Troubleshooting (CLI-Specific)COMMON-CLI.md § Gotchas & Troubleshooting (CLI-Specific)az rest audience, shell escaping, token expiry
Quick ReferenceCOMMON-CLI.md § Quick Referenceaz rest template + token audience/tool matrix
Listing and Discovering EventstreamsEVENTSTREAM-CONSUMPTION-CORE.md § Listing and Discovering EventstreamsList, Get, Search across workspaces
Inspecting Eventstream TopologyEVENTSTREAM-CONSUMPTION-CORE.md § Inspecting Eventstream TopologyDecode base64 definition → trace graph flow
Monitoring Eventstream HealthEVENTSTREAM-CONSUMPTION-CORE.md § Monitoring Eventstream HealthRetention and throughput checks
Source and Destination StatusEVENTSTREAM-CONSUMPTION-CORE.md § Source and Destination StatusValidation checklist for sources and destinations
Integration with Downstream AnalyticsEVENTSTREAM-CONSUMPTION-CORE.md § Integration with Downstream AnalyticsEventhouse, Lakehouse, Activator, Real-Time Hub
Gotchas and Troubleshooting ReferenceEVENTSTREAM-CONSUMPTION-CORE.md § Gotchas and Troubleshooting Reference10 common issues with causes and fixes
List EventstreamsSKILL.md § List Eventstreams
Inspect Eventstream TopologySKILL.md § Inspect Eventstream TopologyDecode and explore the graph
Validate Eventstream ConfigurationSKILL.md § Validate Eventstream Configuration
Gotchas, Rules, TroubleshootingSKILL.md § Gotchas, Rules, TroubleshootingMUST DO / AVOID / PREFER checklists

---

List Eventstreams

List All Eventstreams in a Workspace

az rest --method GET \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams" \
  --resource "https://api.fabric.microsoft.com"

Returns an array of Eventstream items. Use JMESPath to filter by name:

az rest --method GET \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams" \
  --resource "https://api.fabric.microsoft.com" \
  --query "value[?displayName=='my-eventstream']"

Get Eventstream Details

az rest --method GET \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}" \
  --resource "https://api.fabric.microsoft.com"

---

Inspect Eventstream Topology

Retrieve the Eventstream definition and decode it to inspect the full graph topology.

Step 1: Get the Definition

az rest --method GET \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/definition" \
  --resource "https://api.fabric.microsoft.com"

Step 2: Decode the Topology

Extract the eventstream.json part's payload field and base64-decode it:

# Using jq + base64 (Linux/macOS)
az rest --method GET \
  --url "https://api.fabric.microsoft.com/v1/workspaces/${WORKSPACE_ID}/eventstreams/${EVENTSTREAM_ID}/definition" \
  --resource "https://api.fabric.microsoft.com" \
  | jq -r '.definition.parts[] | select(.path=="eventstream.json") | .payload' \
  | base64 -d | jq .
# PowerShell (Windows)
$def = az rest --method GET `
  --url "https://api.fabric.microsoft.com/v1/workspaces/$WORKSPACE_ID/eventstreams/$EVENTSTREAM_ID/definition" `
  --resource "https://api.fabric.microsoft.com" | ConvertFrom-Json
$payload = ($def.definition.parts | Where-Object { $_.path -eq 'eventstream.json' }).payload
[Text.Encoding]::UTF8.GetString([Convert]::FromBase64String($payload)) | ConvertFrom-Json | ConvertTo-Json -Depth 10

Step 3: Summarize the Topology

After decoding, count and list each node type:

MetricPath in decoded JSON
Sources`.sources[] \
Destinations`.destinations[] \
Operators`.operators[] \
Streams`.streams[] \

---

Validate Eventstream Configuration

Check key configuration aspects of a decoded Eventstream topology:

Source Validation Checklist

CheckHow
Source type is API-supportedCompare against 25 known type enums
Cloud connection existsVerify dataConnectionId GUID resolves
Consumer group setRequired for Event Hub, IoT Hub, Kafka sources
Serialization matches sourceinputSerialization.type = Json, Csv, or Avro

Destination Validation Checklist

CheckHow
Destination type is validMust be Lakehouse, Eventhouse, Activator, or CustomEndpoint
Target item accessibleVerify workspaceId + itemId resolve via GET
Input wiredinputNodes array must not be empty
Eventhouse direct ingestionconnectionName and mappingRuleName set

EventstreamProperties Validation

Decode eventstreamProperties.json and check:

  • retentionTimeInDays is within 1–90
  • eventThroughputLevel is Low, Medium, or High

---

Gotchas, Rules, Troubleshooting

MUST DO

  • Always pass `--resource https://api.fabric.microsoft.com` with az rest calls
  • Always use JMESPath filtering to resolve workspace name → ID and item name → ID
  • Always base64-decode the definition payload before inspecting topology
  • Handle pagination — check for continuationUri in list responses
  • Poll LRO responses — Get Definition may return 202 Accepted

PREFER

  • Decode topology JSON into structured output for readable summaries
  • Use jq (bash) or ConvertFrom-Json (PowerShell) for parsing
  • Validate configurations before reporting issues to users
  • Cross-reference destinations with downstream skills (eventhouse, sqldw, spark)

AVOID

  • Do NOT confuse Eventstream with Eventhouse — they are separate Fabric workloads
  • Do NOT hardcode workspace or item IDs — always discover them via the API
  • Do NOT assume all source types appear in API enums — preview sources exist only in the UI
  • Do NOT modify Eventstream topology with this consumption skill — use eventstream-authoring-cli for writes
  • Do NOT attempt to query event data through the Eventstream API — use downstream skills (eventhouse-consumption-cli, sqldw-consumption-cli) for querying landed data

Related skills

FAQ

How do I view an Eventstream topology?

GET the definition endpoint, base64-decode eventstream.json, then trace sources, operators, streams, and destinations.

Is Eventstream the same as Eventhouse?

No. Eventstream is ingestion and routing; use eventhouse-consumption-cli for KQL database queries.

Is eventstream-consumption-cli safe to install?

Review the Security Audits panel on this page before installing in production.

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