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Connectors (MCP)40k · #5006

arize-link

Lets your agent generate direct links to resources in the Arize UI. This makes it easy to share traces, datasets, and configurations with the team.

What it does

This tool creates clickable links to different parts of the Arize platform. You can use it to quickly share links to traces, sessions, datasets, and other items with your team.

When to use it

  • ✓When you want to share a link to a specific item in Arize.
  • ✓If you have IDs from exported data and need to link back to the Arize interface.
  • ✓When someone asks to 'open' or 'view' something in Arize.

Example of what to ask your AI

“Create a link to the trace with ID 'abc123xyz' in project 'my-project' for organization 'org456' and space 'space789'.”

Want more? Open the sections below.

How to use

The easiest way: copy the message below and paste it into Claude, ChatGPT, Cursor or any AI. It reads the skill and follows the instructions.

Skill link

https://github.com/github/awesome-copilot/blob/main/skills/arize-link/SKILL.md

Ready-to-paste message

Use this skill to help me: https://github.com/github/awesome-copilot/blob/main/skills/arize-link/SKILL.md Read the SKILL.md file at that link and follow its instructions for my task.
How it works

The tool takes the IDs you provide (like organization ID, project ID, trace ID) and inserts them into a URL template. This creates a direct link to the correct page within the Arize interface.

Installation

Easiest way: copy the skill link and paste it into Claude, ChatGPT or Cursor asking it to follow the instructions.

In the terminal (Claude Code, Codex, Cursor), in your project folder:

npx skills add github/awesome-copilot --skill arize-link

Or download just the file:

curl -L https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-link/SKILL.md -o SKILL.md
Technical content (original SKILL.md)

Original text by the author, straight from GitHub.

Arize Link

Generate deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs.

When to Use

  • User wants a link to a 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 or context (exported trace data, parsed URLs):

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

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)

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:

  1. User-provided URL — extract and reuse startA/endA directly.
  2. Span start_time — pad ±1 day (or ±1 hour for a tighter window).
  3. Fallback — last 90 days (now - 90d to now).

Prefer tight windows; 90-day windows load slowly.

Instructions

  1. Gather IDs from user, exported data, or URL context.
  2. Verify all path IDs are base64-encoded.
  3. Determine startA/endA using the priority order above.
  4. 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, space_id, project_id from the browser URL.
Span not highlighted span_id may belong to a different trace. Verify against exported span data.
org_id unknown ax CLI doesn't expose it. Ask user to copy from https://app.arize.com/organizations/{org_id}/spaces/{space_id}/….

Related Skills

  • arize-trace: Export spans to get trace_id, span_id, and start_time.

Examples

See references/EXAMPLES.md for a complete set of concrete URLs for every link type.

FAQ

What are Base64 encoded IDs?

Base64 is a way to encode information so it can be easily sent over the internet. Arize IDs need to be in this format for the link to work correctly.

Why isn't the link working or showing 'no data'?

This can happen if the ID is incorrect, not Base64 encoded, or if the item you're trying to view is outside the default time window (usually the last 7 days). Try adjusting the time window or checking the IDs.

How do I find my 'org_id' or 'space_id'?

You can find these IDs in your browser's address bar when you are using Arize. They usually appear after '/organizations/' and '/spaces/' in the URL.

Details

Original description by the author

Generates deep links to the Arize UI for traces, spans, sessions, datasets, labeling queues, evaluators, and annotation configs. Produces clickable URLs for sharing Arize resources with team members. Use when the user wants to link to or open a trace, span, session, dataset, evaluator, or annotation config in the Arize UI.

repo: github/awesome-copilot

Popularity

GitHub stars
40k
Ranking position
#5006
License
MIT
Updated
10/15/2026

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