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:

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