MR
Mayur Rathi
@github
⭐ 34.1k GitHub stars

Arize-Ai-Provider-Integration

Arize-Ai-Provider-Integration is an engineering AI skill with a core value of Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. It helps developers solve real-world problems in the engineering domain, boosting efficiency, automating repetitive tasks, and optimizing workflows.

Creates, reads, updates, and deletes Arize AI integrations that store LLM provider credentials used by evaluators and other Arize features. Supports any LLM provider (e.g. OpenAI, Anthropic, Azure Ope

Last verified on: 2026-07-14

Quick Facts

Category engineering
Works With Claude, GitHub Copilot, ChatGPT
Source github/awesome-copilot
Stars ⭐ 34.1k
Last Verified 2026-07-14
Risk Level High
mkdir -p ./skills/arize-ai-provider-integration && curl -sfL https://raw.githubusercontent.com/github/awesome-copilot/main/skills/arize-ai-provider-integration/SKILL.md -o ./skills/arize-ai-provider-integration/SKILL.md

Run in terminal / PowerShell. Requires curl (Unix) or PowerShell 5+ (Windows).

Skill Content

# 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.


---


List AI Integrations


List all integrations accessible in a space:


bash
ax ai-integrations list --space SPACE

Filter by name (case-insensitive substring match):


bash
ax ai-integrations list --space SPACE --name "openai"

Paginate large result sets:


bash
# Get first page
ax ai-integrations list --space SPACE --limit 20 -o json

# Get next page using cursor from previous response
ax ai-integrations list --space SPACE --limit 20 --cursor CURSOR_TOKEN -o json

**Key flags:**


| Flag | Description |

|------|-------------|

| `--space` | Space name or ID to filter integrations |

| `--name` | Case-insensitive substring filter on integration name |

| `--limit` | Max results (1–100, default 15) |

| `--cursor` | Pagination token from a previous response |

| `-o, --output` | Output format: `table` (default) or `json` |


**Response fields:**


| Field | Description |

|-------|-------------|

| `id` | Base64 integration ID — copy this for downstream commands |

| `name` | Human-readable name |

| `provider` | LLM provider enum (see Supported Providers below) |

| `has_api_key` | `true` if credentials are stored |

| `model_names` | Allowed model list, or `null` if all models are enabled |

| `enable_default_models` | Whether default models for this provider are allowed |

| `function_calling_enabled` | Whether tool/function calling is enabled |

| `auth_type` | Authentication method: `default`, `proxy_with_headers`, or `bearer_token` |


---


Get a Specific Integration


bash
ax ai-integrations get NAME_OR_ID
ax ai-integrations get NAME_OR_ID -o json
ax ai-integrations get NAME_OR_ID --space SPACE   # required when using name instead of ID

Use this to in

🎯 Best For

  • Claude users
  • GitHub Copilot users
  • ChatGPT users
  • Gemini users
  • AI users

💡 Use Cases

  • Using Arize-Ai-Provider-Integration in daily workflow
  • Automating repetitive engineering tasks

📖 How to Use This Skill

  1. 1

    Install the Skill

    Copy the install command from the Terminal tab and run it. The SKILL.md file downloads to your local skills directory.

  2. 2

    Load into Your AI Assistant

    Open Claude or GitHub Copilot and reference the skill. Paste the SKILL.md content or use the system prompt tab.

  3. 3

    Apply Arize-Ai-Provider-Integration to Your Work

    Provide context for your task — paste source material, describe your audience, or share existing work to guide the AI.

  4. 4

    Review and Refine

    Edit the AI output for accuracy, tone, and completeness. Add human insight where the AI lacks context.

❓ Frequently Asked Questions

How do I install Arize-Ai-Provider-Integration?

Copy the install command from the Terminal tab and run it. The skill downloads to ./skills/arize-ai-provider-integration/SKILL.md, ready to use.

Can I customize this skill for my team?

Absolutely. Edit the SKILL.md file to add team-specific instructions, examples, or workflows.

⚠️ Common Mistakes to Avoid

Not reading the full skill

Skills contain important context and edge cases beyond the quick start.

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