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arize-span-routing — Claude Code skill: route Arize spans

Sends each span from one Python service to the right Arize space and project, based on agent, tenant or request metadata.

Install into Claude Code · Skills CLI (Vercel) All methods and platforms ↓
npx skills add Arize-ai/arize-skills --skill arize-span-routing -a claude-code
Open on GitHub

What arize-span-routing does

This skill fits a service that serves several agents or tenants and has to keep their traces apart in Arize. Every operation must resolve to exactly one space_id and project_name before its first span starts. Plain single-project tracing is a different job — that is what arize-instrumentation covers.

It works in two phases. First inspection: find the entrypoint, the current OpenTelemetry setup, the request boundary that owns the destination metadata, and the stable fields that map to a destination. Then the edits: require arize-otel>=0.11.0, initialize routing once with register_with_routing or attach ArizeRoutingSpanProcessor to a provider the app already owns, write a resolver, and wrap the operation in set_routing_context. Child spans created inside that context inherit arize.space_id and arize.project.name.

You need Python, arize-otel 0.11.0 or newer, and a single Arize API key authorized for every destination space. The key is read from the ARIZE_API_KEY environment variable, never pasted into code. When routing metadata is missing or invalid, the business operation still runs and its spans stay out of Arize — tenant isolation wins over trace completeness. A fixed Arize exporter has to go at the same time, or spans land in both places; OpenTelemetry processors cannot be removed safely after startup, so that change belongs in initialization.

What it helps with

  • keep traces from several tenants in their own Arize spaces
  • route each agent's spans to a separate project using request metadata
  • let the business operation finish when routing metadata is unavailable
  • swap a fixed Arize export path for dynamic routing without duplicates
  • verify that two metadata values produce two space/project pairs

Example prompts for the agent

  • Set up Arize span routing in this service: each agent should go to its own space_id and project_name from request metadata.
  • Add ArizeRoutingSpanProcessor to the existing provider and remove the fixed Arize export path.
  • Check that spans are not exported to Arize when routing metadata is missing, while the operation still runs.

How to install arize-span-routing

1Skills CLI (Vercel)

npx skills add Arize-ai/arize-skills --skill arize-span-routing -a claude-code

2Manually: put the files in place

~/.claude/skills/arize-span-routing/SKILL.md

Copy the whole skill folder; for one project use .claude/skills/arize-span-routing/

Step by step, with commands for each platform: How to install skills in Claude Code: five ways

Questions about arize-span-routing

How do I install arize-span-routing in Claude?

Run npx skills add Arize-ai/arize-skills --skill arize-span-routing -a claude-code. The skill lands in ~/.claude/skills/arize-span-routing/SKILL.md.

What does arize-span-routing do?

It resolves one space_id and project_name per operation and opens a routing context so every child span goes to the correct Arize space and project.

What do I need before using it?

Python, arize-otel 0.11.0 or newer, and one Arize API key authorized for all destination spaces. The key comes from the ARIZE_API_KEY environment variable.

Source text

SKILL.md · MIT
---
name: arize-span-routing
description: Use when one Python service must send each agent's, tenant's, team's, or request's spans to its correct Arize space and project using application metadata. Covers dynamic OpenTelemetry routing for custom agent builders and multi-tenant applications, including register_with_routing, set_routing_context, multi-space tracing, and custom span routing.
metadata:
  author: arize
  version: "1.0"
compatibility: Requires Python, arize-otel 0.11.0 or newer, and one Arize API key authorized for every destination space.
---

# Arize Span Routing Skill

Use this skill to send each traced operation from one Python service to its correct Arize space and project. Each operation must resolve to exactly one `space_id` and `project_name` before its first span starts.

Do not use this skill for ordinary single-project tracing; use `arize-instrumentation`. This skill does not reroute spans after export, backfill historical spans, create Arize spaces/projects, or invent a customer-specific metadata mapping.

## Safety rules

- Never guess a destination or silently use another tenant's destination.
- Never embed API keys in code or ask users to paste keys into chat. Read `ARIZE_API_KEY` from the environment.
- Preserve existing non-Arize exporters and processors. Remove or replace a fixed-destination Arize export path so routed spans are not also copied to that destination.
- Missing, invalid, or unavailable routing metadata must leave the business operation running but its spans unexported to Arize. Run that operation under a fresh OpenTelemetry context so stale routing values cannot leak across tenants. Log a warning without including secrets or sensitive metadata values.
- Use one API key that is authorized for every destination space. Stop and report a credential blocker if that is not true.

## Phase 1: Inspect and define the contract

Read only until the routing contract is clear.

1. Identify the exact Python service and entrypoint to change.
2. Find current tracing initialization, provider/exporters, instrumentors, and client creation order.
3. Find the request or agent-execution boundary that owns destination metadata.
4. Identify the stable metadata field(s) and existing source of truth that resolve to:
   - Arize `space_id`
   - Arize `project_name`
5. Check async tasks, thread pools, queues, or background workers that may outlive the request context.
6. Find the app's test command and existing test style.

Inspect only the target app's configuration. Do not search unrelated repositories, sibling services, shell startup files, or arbitrary `.env` files for credentials.

If service scope, metadata fields, mapping source, or destination behavior is ambiguous, stop and ask the minimum question needed. Do not install packages or edit code first. If the user requested implementation and all four are clear, summarize the contract briefly and continue.

## Phase 2: Implement

### 1. Ensure routing support exists

Use the project's package manager to require `arize-otel>=0.11.0`. Do not change unrelated dependencies.

### 2. Initialize routing once

For an app without an existing OpenTelemetry provider, initialize routing before instrumentors and LLM clients:

```python
import os

from arize.otel import register_with_routing

tracer_provider = register_with_routing(
    api_key=os.environ["ARIZE_API_KEY"],
)
```

If the app already owns a provider with non-Arize telemetry, keep it and add the routing processor:

```python
import os

from arize.otel import ArizeRoutingSpanProcessor, Endpoint, Transport

tracer_provider.add_span_processor(
    ArizeRoutingSpanProcessor(
        api_key=os.environ["ARIZE_API_KEY"],
        endpoint=Endpoint.ARIZE,
        transport=Transport.GRPC,
    )
)
```

Reuse the app's configured endpoint and transport when present. Never call `register_with_routing` after another global provider has already been installed. If the provider also has a fixed Arize processor/exporter, remove that fixed path in its initialization before adding routing; OpenTelemetry processors cannot be safely removed after startup.

### 3. Resolve one routing target

Adapt the app's existing metadata model; do not introduce a framework for one lookup. The resolver must return both non-empty values or no target. Keep mapping data in its existing source of truth rather than duplicating it in tracing code.

```python
from dataclasses import dataclass


@dataclass(frozen=True)
class RoutingTarget:
    space_id: str
    project_name: str
```

Use this type only when the codebase lacks an equivalent. Validate the result before any traced work begins.

### 4. Set context around the complete operation

Enter routing context at the highest boundary that has the metadata and encloses every child span:

Replace `RoutingLookupError` below with the resolver's specific existing lookup/configuration exception.

```python
from opentelemetry import context as context_api
from arize.otel import set_routing_context


def run_without_arize_routing(request):
    token = context_api.attach(context_api.Context())
    try:
        return run_agent(request)
    finally:
        context_api.detach(token)


def handle_agent_request(request):
    try:
        target = resolve_routing_target(request.agent_metadata)
    except RoutingLookupError:
        logger.warning("Arize routing lookup failed; spans will not be exported")
        return run_without_arize_routing(request)

    if target is None or not target.space_id or not target.project_name:
        logger.warning("No Arize routing target; spans will not be exported")
        return run_without_arize_routing(request)

    with set_routing_context(
        space_id=target.space_id,
        project_name=target.project_name,
    ):
        return run_agent(request)
```

Catch only the resolver's expected lookup/configuration exceptions; do not hide unrelated application failures. A fresh context on the no-target path intentionally prevents inherited routing values from reaching Arize. It may start a new trace for other exporters; tenant isolation takes priority. If preserving the distributed parent is mandatory, report the missing public routing-clear API as an SDK follow-up rather than using private context keys.

All auto-instrumented and manual child spans created inside the routing context inherit `arize.space_id` and `arize.project.name`. Do not set routing after spans have started.

For background work, propagate the OpenTelemetry context explicitly or resolve and enter a new routing context in the worker. Never rely on request-local context after a queue or thread boundary.

See `references/REFERENCE.md` for agent experiment endpoints, existing-provider details, concurrency rules, testing, verification, and troubleshooting.

## Verification

1. Run focused unit tests for the resolver and execution boundary.
2. Prove two different metadata values produce two different space/project pairs.
3. Prove child spans inherit the selected pair.
4. Prove concurrent operations cannot leak routing context.
5. Prove unknown metadata and resolver failures clear inherited routing, export no spans to any fallback destination, and leave business logic running.
6. Prove pre-existing non-Arize exporters/processors remain attached and no fixed Arize path remains.
7. Trigger one uniquely named trace per target in non-production spaces.
8. Use `arize-trace` with the same credential context to confirm each trace exists only in its intended destination.

For short-lived scripts, call `force_flush()` and `shutdown()` before exit. Finish as **confirmed**, **confirmed with warnings**, or a precise blocker; never report completion from unit tests alone when live verification was requested.

## Guardrails and limits

- Both routing values are required. Spans missing either value are skipped.
- `ArizeRoutingSpanProcessor` creates and caches one processor per unique space. Flag unbounded or high-cardinality space IDs before implementation.
- Routing selects spaces and projects only; other customer metadata still belongs in normal OpenInference attributes.
- If dogfooding exposes a missing `arize-otel` capability, stop and propose a separate SDK change instead of adding a compatibility hack.

## Related skills

- `arize-instrumentation`: first-time or single-destination tracing
- `arize-trace`: post-export verification and debugging
- `arize-admin`: inspect or manage authorized spaces and API keys

© arize · MIT · Arize-ai/arize-skills

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