arize-link

Original：🇺🇸 English

Translated

Generate deep links to traces, spans, and sessions in the Arize UI. Use when the user wants a clickable URL to open a specific trace, span, or session.

2installs

Sourcearize-ai/arize-skills

Added on2026-03-11

NPX Install

npx skill4agent add arize-ai/arize-skills arize-link

SKILL.md Content

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Arize Link

Generate deep links to the Arize UI for traces, spans, and sessions.

When to Use

User wants a link to a specific trace, span, or session
You have trace/span/session IDs from exported data or logs and need to link back to the UI
User asks to "open" or "view" a trace/span/session in Arize

Required Inputs

Collect these from the user or from context (e.g., exported trace data, parsed URLs):

org_id -- Base64-encoded organization ID (from URL path or user)
space_id -- Base64-encoded space ID (from URL path or user)
project_id -- Base64-encoded project/model ID (from URL path or user)
One of:
- trace_id (and optionally span_id) for trace/span links
- session_id for session links

URL Construction

Base URL:

https://app.arize.com

(override for on-prem if the user specifies a custom base URL)

Trace Link

Opens the trace slideover showing all spans in the trace.

{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedTraceId={trace_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_epoch_ms}&endA={end_epoch_ms}&envA=tracing&modelType=generative_llm

If a span_id is also available, add

&selectedSpanId={span_id}

to highlight that span within the trace.

Span Link

Opens a specific span within a trace. Both trace_id and span_id are required.

{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedTraceId={trace_id}&selectedSpanId={span_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_epoch_ms}&endA={end_epoch_ms}&envA=tracing&modelType=generative_llm

Session Link

Opens the session view for a conversation/interaction flow.

{base_url}/organizations/{org_id}/spaces/{space_id}/projects/{project_id}?selectedSessionId={session_id}&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA={start_epoch_ms}&endA={end_epoch_ms}&envA=tracing&modelType=generative_llm

Time Range

CRITICAL:

startA

and

endA

are required query parameters. Without them, the Arize UI defaults to the last 7 days and will show a "Your model doesn't have any recent data" error if the trace/span falls outside that window.

startA: Start of the time window as epoch milliseconds
endA: End of the time window as epoch milliseconds

How to Determine the Time Range

Use these sources in priority order:

User-provided URL: If the user shared an Arize URL, extract
```
startA
```
and
```
endA
```
from it and reuse them. This is the most reliable approach since it preserves the user's original time window.

Exported span data: If you have span data (e.g., from

ax spans export

), use the span's

start_time

field to calculate a range that covers the data:

bash

# Convert span start_time to epoch ms, then pad ±1 day
python -c "
from datetime import datetime, timedelta
t = datetime.fromisoformat('2026-03-07T05:39:15.822147Z'.replace('Z','+00:00'))
start = int((t - timedelta(days=1)).timestamp() * 1000)
end = int((t + timedelta(days=1)).timestamp() * 1000)
print(f'startA={start}&endA={end}')
"

Default fallback: Use the last 90 days. Calculate:
- ```
startA
```
  :
```
(now - 90 days)
```
  as epoch milliseconds
- ```
endA
```
  : current time as epoch milliseconds

Instructions

Gather the required IDs from the user or from available context (URLs, exported trace data, conversation history).
Determine
```
startA
```
and
```
endA
```
epoch milliseconds using the priority order above.
Substitute values into the appropriate URL template above.
Present the URL as a clickable markdown link.

Example Output

Given: org_id=

QWNjb3VudE9yZ2FuaXphdGlvbjoxOmFiQzE=

, space_id=

U3BhY2U6MTp4eVo5

, project_id=

TW9kZWw6MTpkZUZn

, trace_id=

0123456789abcdef0123456789abcdef

Trace link:

https://app.arize.com/organizations/QWNjb3VudE9yZ2FuaXphdGlvbjoxOmFiQzE=/spaces/U3BhY2U6MTp4eVo5/projects/TW9kZWw6MTpkZUZn?selectedTraceId=0123456789abcdef0123456789abcdef&queryFilterA=&selectedTab=llmTracing&timeZoneA=America%2FLos_Angeles&startA=1700000000000&endA=1700086400000&envA=tracing&modelType=generative_llm