Arize Link
SkillDatabases & dataarize-link lets your AI create clickable links to pages in the Arize interface. Once added, your AI can turn a request for any Arize resource into a shareable URL, so teammates can jump straight to the right project, trace, or dataset instead of hunting for it.
Available today. Use it from your connected AI after setup.
No other account needed.
After adding the skill, ask your AI for a link to a specific Arize resource, such as a trace or project. It will look up the needed IDs and hand you a URL you can paste into a message or ticket.
Then ask your AI: use the Arize Link skill
What your AI can do with it
- Create direct links to Arize projects, traces, and spans
- Link to sessions, datasets, labeling queues, evaluators, and annotation configs
- Find the correct organization and project IDs using the ax command line tool
- Produce ready-to-share URLs for any Arize resource
What this skill tells your AI
The instructions your AI receives, as published by arize-ai/arize-skills in skills/arize-link/SKILL.md and read by ahel’s review.
Generate deep links to the Arize UI for projects, traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.
When to Use
- User wants a link to a project, trace, span, session, dataset, labeling queue, evaluator, or annotation config
- You have IDs from exported data or logs and need to link back to the UI
- User asks to "open" or "view" any of the above in Arize
Required Inputs
Collect from the user, context (exported trace data or parsed URLs), or the ax CLI:
| Always required | Resource-specific |
|---|---|
org_id (base64) | project_id + trace_id [+ span_id] — trace/span |
space_id (base64) | project_id + session_id — session |
dataset_id — dataset | |
queue_id — specific queue (omit for list) | |
evaluator_id [+ version] — evaluator |
Discover organization and project IDs
Prefer the CLI over asking the user for IDs that it can provide:
ax organizations list --output json
Use .organizations[].id for the organization ID. If more than one organization is returned, match the user-provided organization name or ask them to choose.
To discover a project ID, list projects in the relevant space:
ax projects list --space "{space_name_or_id}" --limit 100 --output json
Use the matching project's id; its space_id supplies the space ID required in the URL. The command accepts a space name or ID; if no space is known, run ax projects list --limit 100 --output json and select the matching project.
All path IDs must be base64-encoded (characters: A-Za-z0-9+/=). A raw numeric ID produces a valid-looking URL that 404s. If the user provides a number, ask them to copy the ID directly from their Arize browser URL (https://app.arize.com/organizations/{org_id}/spaces/{space_id}/…). If you have a raw internal ID (e.g. Organization:1:abC1), base64-encode it before inserting into the URL.
URL Templates
Base URL: https://app.arize.com (override for on-prem)
Project:
{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}
Trace (add &selectedSpanId={span_id} to highlight a specific span):
{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedTraceId={trace_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm
Session:
{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedSessionId={session_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_ms}&endA={end_ms}&envA=tracing&modelType=generative_llm
Dataset (selectedTab: examples or experiments):
{base_url}/organizations/{org_id}/spaces/{space_id}/datasets/{dataset_id}?selectedTab=examples
Queue list / specific queue:
{base_url}/organizations/{org_id}/spaces/{space_id}/queues
{base_url}/organizations/{org_id}/spaces/{space_id}/queues/{queue_id}
Evaluator (omit ?version=… for latest):
{base_url}/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}
{base_url}/organizations/{org_id}/spaces/{space_id}/evaluators/{evaluator_id}?version={version_url_encoded}
The version value must be URL-encoded (e.g., trailing = → %3D).
Annotation configs:
{base_url}/organizations/{org_id}/spaces/{space_id}/annotation-configs
Time Range
CRITICAL: startA and endA (epoch milliseconds) are required for trace/span/session links — omitting them defaults to the last 7 days and will show "no recent data" if the trace falls outside that window.
Priority order:
- User-provided URL — extract and reuse
startA/endAdirectly. - Span
start_time— pad ±1 day (or ±1 hour for a tighter window). - Fallback — last 90 days (
now - 90dtonow).
Prefer tight windows; 90-day windows load slowly.
Instructions
- Gather IDs from user, exported data, URL context, or the CLI. Use
ax organizations list --output jsonto obtainorg_id; useax projects listto obtainproject_idwhen needed. - Verify all path IDs are base64-encoded.
- Determine
startA/endAusing the priority order above for trace, span, and session links. - Substitute into the appropriate template and present as a clickable markdown link.
Troubleshooting
| Problem | Solution |
|---|---|
| "No data" / empty view | Trace outside time window — widen startA/endA (±1h → ±1d → 90d). |
| 404 | ID wrong or not base64. Re-check org_id with ax organizations list --output json, project_id with ax projects list, and space_id from the browser URL. |
| Span not highlighted | span_id may belong to a different trace. Verify against exported span data. |
org_id unknown | Run ax organizations list --output json and use .organizations[].id. If the CLI cannot access the organization, ask the user to copy it from their Arize browser URL. |
Related Skills
- arize-trace: Export spans to get
trace_id,span_id, andstart_time.
Examples
See references/EXAMPLES.md for a complete set of concrete URLs for every link type.
Signals
- GitHub stars
- 50
- Forks
- 10
- Last commit
- Sep 2026
Advanced
- Catalog kind
- skill
- Gateway key
arize-link- Source
- github.com/arize-ai/arize-skills