managing-anyscale

name	managing-anyscale
description	Use when working with Anyscale — anyscale platform management covering Ray clusters, services, model deployments, jobs, and usage analytics. Use when monitoring deployed services, analyzing cluster utilization, reviewing job status, managing model endpoints, or troubleshooting Anyscale deployments.
connection_type	anyscale
preload	false

Anyscale Management Skill

Manage and analyze Anyscale platform resources including services, clusters, jobs, and deployments.

API Conventions

Authentication

All API calls use Bearer API key, injected automatically.

Base URL

https://api.anyscale.com/v2

Core Helper Function

#!/bin/bash

anyscale_api() {
    local method="$1"
    local endpoint="$2"
    local data="${3:-}"

    if [ -n "$data" ]; then
        curl -s -X "$method" \
            -H "Authorization: Bearer $ANYSCALE_API_KEY" \
            -H "Content-Type: application/json" \
            "https://api.anyscale.com/v2${endpoint}" \
            -d "$data"
    else
        curl -s -X "$method" \
            -H "Authorization: Bearer $ANYSCALE_API_KEY" \
            "https://api.anyscale.com/v2${endpoint}"
    fi
}

Output Rules

• Target ≤50 lines per script output
• Use jq to extract only needed fields
• Never dump full API responses

Phase 1: Discovery

#!/bin/bash
echo "=== Services ==="
anyscale_api GET "/services?count=20" \
    | jq -r '.results[] | "\(.id[0:16])\t\(.name)\t\(.state)\t\(.created_at[0:10])"' \
    | column -t | head -15

echo ""
echo "=== Clusters ==="
anyscale_api GET "/sessions?count=20" \
    | jq -r '.results[] | "\(.id[0:16])\t\(.name)\t\(.state)\t\(.created_at[0:10])"' \
    | column -t | head -15

echo ""
echo "=== Jobs ==="
anyscale_api GET "/jobs?count=20" \
    | jq -r '.results[] | "\(.id[0:16])\t\(.name[0:30])\t\(.state)\t\(.created_at[0:10])"' \
    | column -t | head -15

echo ""
echo "=== Cloud Configurations ==="
anyscale_api GET "/clouds" \
    | jq -r '.results[] | "\(.id[0:16])\t\(.name)\t\(.provider)\t\(.region)"' | head -10

Phase 2: Analysis

Service Health

#!/bin/bash
echo "=== Service Status Summary ==="
anyscale_api GET "/services?count=50" \
    | jq -r '.results[] | .state' | sort | uniq -c | sort -rn

echo ""
echo "=== Running Services ==="
anyscale_api GET "/services?count=20&state=RUNNING" \
    | jq -r '.results[] | "\(.name)\t\(.state)\t\(.current_version)\t\(.base_url[0:40])"' \
    | column -t | head -15

echo ""
echo "=== Failed Services ==="
anyscale_api GET "/services?count=10&state=SYSTEM_FAILURE,UNHEALTHY" \
    | jq -r '.results[] | "\(.name)\t\(.state)\t\(.status_message[0:60])"' | head -10

Job & Cluster Analytics

#!/bin/bash
echo "=== Job Status Summary ==="
anyscale_api GET "/jobs?count=100" \
    | jq -r '.results[] | .state' | sort | uniq -c | sort -rn

echo ""
echo "=== Active Clusters ==="
anyscale_api GET "/sessions?count=20&state=RUNNING" \
    | jq -r '.results[] | "\(.name)\t\(.state)\t\(.head_node_type)\t\(.num_workers) workers"' \
    | column -t | head -10

echo ""
echo "=== Recent Failed Jobs ==="
anyscale_api GET "/jobs?count=10&state=FAILED" \
    | jq -r '.results[] | "\(.id[0:16])\t\(.name[0:30])\t\(.created_at[0:10])\t\(.error_message[0:50] // "no error")"' \
    | head -10

Output Format

=== Anyscale Account ===
Services: <n>  Clusters: <n>  Jobs: <n>

--- Service Health ---
Running: <n>  Unhealthy: <n>  Failed: <n>

--- Job Summary ---
Succeeded: <n>  Running: <n>  Failed: <n>

--- Clusters ---
Active: <n>  Total Workers: <n>

Anti-Hallucination Rules

1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

Shortcut	Counter	Why
"I'll skip discovery and check known resources"	Always run Phase 1 discovery first	Resource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"	Follow the full discovery → analysis flow	Quick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"	Audit configuration explicitly	Defaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"	Always check relevant metrics when available	API/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"	Try the command and report the actual error	Assumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

• Service states: STARTING, RUNNING, UPDATING, UNHEALTHY, SYSTEM_FAILURE, TERMINATED
• Pagination: Use count and paging_token for list endpoints
• Rate limits: Check response headers for current rate limit status
• Cloud scoping: Resources are scoped to specific cloud configurations