What is arize-ai-provider-integration?

A guide for managing Arize AI connections to language-model providers such as OpenAI, Anthropic, or AWS Bedrock. Arize is a platform for evaluating and monitoring AI systems.

Use it to manage integrations, authentication details, visibility between users or workspaces, and integration IDs needed by other Arize operations.

It provides the rules for finding, creating, changing, and removing the stored provider credentials that Arize uses to call language models.

arize-ai-provider-integration — Skill for Claude Code and Codex by bos

Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

Any agent

npx skills add boshi-xixixi/TraeSkill --skill arize-ai-provider-integration

Clone the repo

git clone --depth 1 https://github.com/boshi-xixixi/TraeSkill

Made for: Claude Code, Codex.

Wrote this? Show the measurements

A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.

README.md

[![agentmods](https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/arize-ai-provider-integration/github.svg)](https://agentmods.dev/skills/boshi-xixixi/traeskill/arize-ai-provider-integration)

Your own site

<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/arize-ai-provider-integration"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/arize-ai-provider-integration/github.svg" alt="Measured on agentmods" height="20"></a>

Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.

Your own site · 80×15

<a href="https://agentmods.dev/skills/boshi-xixixi/traeskill/arize-ai-provider-integration"><img src="https://agentmods.dev/badge/skills/boshi-xixixi/traeskill/arize-ai-provider-integration.svg" alt="Reviewed on agentmods" width="80" height="20"></a>

Per session 78 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.

When invoked 2,606 The whole file, excluding the scripts and references it only reads on demand.

Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.

Origin original No closer match found in the catalogue.

Token cost

What it costs to keep this loaded

Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.

Model	Per session	Once invoked
Fable 5.1	$0.00078	$0.02606
Opus 5	$0.00039	$0.01303
Sonnet 5	$0.00016	$0.00521
Haiku 4.5	$0.00008	$0.00261

Measured 11d ago against content hash 701bccfb95ad, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

arize-ai-provider-integration scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 11d ago.

A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

Origin

Copies of this mod

2 near-identical copies found in the catalogue:

arize-ai-provider-integration — 95% identical, 12 lines differ
arize-ai-provider-integration — 86% identical, 68 lines differ

.trae/Skills/.agents/skills/arize-ai-provider-integration/SKILL.md · 277 lines

How it starts

The opening of the file, as written. The whole thing — 277 lines — stays where its author put it; the contents beside it link to each section on GitHub.

Arize AI Integration Skill

SPACE — Most --space flags and the ARIZE_SPACE env var accept a space name (e.g., my-workspace) or a base64 space ID (e.g., U3BhY2U6...). Find yours with ax spaces list. Note: ai-integrations create does not accept --space — AI integrations are account-scoped. Use --space only with list, get, update, and delete.

Concepts

AI Integration = stored LLM provider credentials registered in Arize; used by evaluators to call a judge model and by other Arize features that need to invoke an LLM on your behalf
Provider = the LLM service backing the integration (e.g., openAI, anthropic, awsBedrock)
Integration ID = a base64-encoded global identifier for an integration (e.g., TGxtSW50ZWdyYXRpb246MTI6YUJjRA==); required for evaluator creation and other downstream operations
Scoping = visibility rules controlling which spaces or users can use an integration
Auth type = how Arize authenticates with the provider: default (provider API key), proxy_with_headers (proxy via custom headers), or bearer_token (bearer token auth)

Prerequisites

Proceed directly with the task — run the ax command you need. Do NOT check versions, env vars, or profiles upfront.

If an ax command fails, troubleshoot based on the error:

command not found or version error → see references/ax-setup.md
401 Unauthorized / missing API key → run ax profiles show to inspect the current profile. If the profile is missing or the API key is wrong, follow references/ax-profiles.md to create/update it. If the user doesn't have their key, direct them to https://app.arize.com/admin > API Keys
Space unknown → run ax spaces list to pick by name, or ask the user
LLM provider call fails (missing OPENAI_API_KEY / ANTHROPIC_API_KEY) → run ax ai-integrations list --space SPACE to check for platform-managed credentials. If none exist, ask the user to provide the key or create an integration via the arize-ai-provider-integration skill
Security: Never read .env files or search the filesystem for credentials. Use ax profiles for Arize credentials and ax ai-integrations for LLM provider keys. If credentials are not available through these channels, ask the user.

Read the full file on GitHub · 277 lines

Files

What ships with it

2 files beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.

Changes

What this file has done since we first saw it

Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.

11d ago First seen · 277 lines · 78 tokens per session scan A 701bccfb95ad

Subscribe to this mod's changes

arize-ai-provider-integration is a skill published in the GitHub repository boshi-xixixi/TraeSkill (262 stars, last pushed 4mo ago), licensed MIT. It adds 78 tokens to every session and 2,606 once invoked, about $0.0004 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.

Data and AI DevOps and cloud ai-agent ai-coding skills trae workflow

azure-data-factory

Expert knowledge for Azure Data Factory development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when building ADF pipelines, mapping data flows, SSIS IR/SHIR, CI/CD deployments…

MicrosoftDocs/Agent-Skills · 127 tokens

azure-databricks

Expert knowledge for Azure Databricks development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Unity Catalog, Lakeflow pipelines, Genie/AI Runtime, Delta…

MicrosoftDocs/Agent-Skills · 124 tokens

azure-machine-learning

Expert knowledge for Azure Machine Learning development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when running AutoML jobs, Prompt Flow/RAG, online endpoints, feature stores…

MicrosoftDocs/Agent-Skills · 127 tokens

azure-hdinsight

Expert knowledge for Azure HDInsight development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when working with HDInsight Spark/Hive/Kafka/HBase clusters, Ambari/Oozie pipelines…

MicrosoftDocs/Agent-Skills · 119 tokens

azure-synapse-analytics

Expert knowledge for Azure Synapse Analytics development including troubleshooting, best practices, decision making, architecture & design patterns, limits & quotas, security, configuration, integrations & coding patterns, and deployment. Use when using Synapse SQL pools, Spark pools, Synapse Link, PolyBase ELT, or…