awesome-copilot/skills/arize-ai-provider-integration/SKILL.md

name, description

name	description
arize-ai-provider-integration	INVOKE THIS SKILL when creating, reading, updating, or deleting Arize AI integrations. Covers listing integrations, creating integrations for any supported LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom), updating credentials or metadata, and deleting integrations using the ax CLI.

Arize AI Integration Skill

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: check .env for ARIZE_API_KEY and use it to create/update the profile via references/ax-profiles.md. If .env has no key either, ask the user for their Arize API key (https://app.arize.com/admin > API Keys)
• Space ID unknown → check .env for ARIZE_SPACE_ID, or run ax spaces list -o json, or ask the user
• LLM provider call fails (missing OPENAI_API_KEY / ANTHROPIC_API_KEY) → check .env, load if present, otherwise ask the user

---

List AI Integrations

List all integrations accessible in a space:

ax ai-integrations list --space-id SPACE_ID

Filter by name (case-insensitive substring match):

ax ai-integrations list --space-id SPACE_ID --name "openai"

Paginate large result sets:

# Get first page
ax ai-integrations list --space-id SPACE_ID --limit 20 -o json

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

Key flags:

Flag	Description
--space-id	Space to list integrations in
--name	Case-insensitive substring filter on integration name
--limit	Max results (1–100, default 50)
--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

ax ai-integrations get INT_ID
ax ai-integrations get INT_ID -o json

Use this to inspect an integration's full configuration or to confirm its ID after creation.

---

Create an AI Integration

Before creating, always list integrations first — the user may already have a suitable one:

ax ai-integrations list --space-id SPACE_ID

If no suitable integration exists, create one. The required flags depend on the provider.

OpenAI

ax ai-integrations create \
  --name "My OpenAI Integration" \
  --provider openAI \
  --api-key $OPENAI_API_KEY

Anthropic

ax ai-integrations create \
  --name "My Anthropic Integration" \
  --provider anthropic \
  --api-key $ANTHROPIC_API_KEY

Azure OpenAI

ax ai-integrations create \
  --name "My Azure OpenAI Integration" \
  --provider azureOpenAI \
  --api-key $AZURE_OPENAI_API_KEY \
  --base-url "https://my-resource.openai.azure.com/"

AWS Bedrock

AWS Bedrock uses IAM role-based auth instead of an API key. Provide the ARN of the role Arize should assume:

ax ai-integrations create \
  --name "My Bedrock Integration" \
  --provider awsBedrock \
  --role-arn "arn:aws:iam::123456789012:role/ArizeBedrockRole"

Vertex AI

Vertex AI uses GCP service account credentials. Provide the GCP project and region:

ax ai-integrations create \
  --name "My Vertex AI Integration" \
  --provider vertexAI \
  --project-id "my-gcp-project" \
  --location "us-central1"

Gemini

ax ai-integrations create \
  --name "My Gemini Integration" \
  --provider gemini \
  --api-key $GEMINI_API_KEY

NVIDIA NIM

ax ai-integrations create \
  --name "My NVIDIA NIM Integration" \
  --provider nvidiaNim \
  --api-key $NVIDIA_API_KEY \
  --base-url "https://integrate.api.nvidia.com/v1"

Custom (OpenAI-compatible endpoint)

ax ai-integrations create \
  --name "My Custom Integration" \
  --provider custom \
  --base-url "https://my-llm-proxy.example.com/v1" \
  --api-key $CUSTOM_LLM_API_KEY

Supported Providers

Provider	Required extra flags
openAI	--api-key <key>
anthropic	--api-key <key>
azureOpenAI	--api-key <key>, --base-url <azure-endpoint>
awsBedrock	--role-arn <arn>
vertexAI	--project-id <gcp-project>, --location <region>
gemini	--api-key <key>
nvidiaNim	--api-key <key>, --base-url <nim-endpoint>
custom	--base-url <endpoint>

Optional flags for any provider

Flag	Description
--model-names	Comma-separated list of allowed model names; omit to allow all models
--enable-default-models / --no-default-models	Enable or disable the provider's default model list
--function-calling / --no-function-calling	Enable or disable tool/function calling support

After creation

Capture the returned integration ID (e.g., TGxtSW50ZWdyYXRpb246MTI6YUJjRA==) — it is needed for evaluator creation and other downstream commands. If you missed it, retrieve it:

ax ai-integrations list --space-id SPACE_ID -o json
# or, if you know the ID:
ax ai-integrations get INT_ID

---

Update an AI Integration

update is a partial update — only the flags you provide are changed. Omitted fields stay as-is.

# Rename
ax ai-integrations update INT_ID --name "New Name"

# Rotate the API key
ax ai-integrations update INT_ID --api-key $OPENAI_API_KEY

# Change the model list
ax ai-integrations update INT_ID --model-names "gpt-4o,gpt-4o-mini"

# Update base URL (for Azure, custom, or NIM)
ax ai-integrations update INT_ID --base-url "https://new-endpoint.example.com/v1"

Any flag accepted by create can be passed to update.

---

Delete an AI Integration

Warning: Deletion is permanent. Evaluators that reference this integration will no longer be able to run.

ax ai-integrations delete INT_ID --force

Omit --force to get a confirmation prompt instead of deleting immediately.

---

Troubleshooting

Problem	Solution
ax: command not found	See references/ax-setup.md
401 Unauthorized	API key may not have access to this space. Verify key and space ID at https://app.arize.com/admin > API Keys
No profile found	Run ax profiles show --expand; set ARIZE_API_KEY env var or write ~/.arize/config.toml
Integration not found	Verify with ax ai-integrations list --space-id SPACE_ID
has_api_key: false after create	Credentials were not saved — re-run update with the correct --api-key or --role-arn
Evaluator runs fail with LLM errors	Check integration credentials with ax ai-integrations get INT_ID; rotate the API key if needed
provider mismatch	Cannot change provider after creation — delete and recreate with the correct provider

---

Related Skills

• arize-evaluator: Create LLM-as-judge evaluators that use an AI integration → use arize-evaluator
• arize-experiment: Run experiments that use evaluators backed by an AI integration → use arize-experiment

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Save Credentials for Future Use

See references/ax-profiles.md § Save Credentials for Future Use.