arize-ai-provider-integration

name	arize-ai-provider-integration
description	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 OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM). Use when the user mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.
metadata	{"author":"arize","version":"1.0"}
compatibility	Requires the ax CLI and a configured Arize profile.

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 provider credentials) → run ax ai-integrations list --space SPACE to check for platform-managed credentials. If none exist:
  • Preferred: Give the user the exact ax ai-integrations create command from Supported Providers below (reference env var names like $OPENAI_API_KEY, never raw values). Ask them to export the provider key in their own terminal and run the command there — never paste the key into chat. Do not run the create command yourself unless the var is already exported in this terminal session.
  • Bedrock/Vertex: use --provider-metadata instead of --api-key (see Supported Providers below).
• 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. Never ask the user to paste secrets into chat. For missing credentials, see references/ax-profiles.md.

---

List AI Integrations

List all integrations accessible in a space:

ax ai-integrations list --space SPACE

Filter by name (case-insensitive substring match):

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

Paginate large result sets:

# 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

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 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 SPACE

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. Provide the ARN of the role Arize should assume via --provider-metadata:

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

Vertex AI

Vertex AI uses GCP service account credentials. Provide the GCP project and region via --provider-metadata:

ax ai-integrations create \
  --name "My Vertex AI Integration" \
  --provider vertexAI \
  --provider-metadata '{"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	--provider-metadata '{"role_arn": "<arn>"}'
vertexAI	--provider-metadata '{"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-name	Allowed model name (repeat for multiple, e.g. --model-name gpt-4o --model-name gpt-4o-mini); omit to allow all models
--enable-default-models	Enable the provider's default model list
--function-calling-enabled	Enable tool/function calling support
--auth-type	Authentication type: default, proxy_with_headers, or bearer_token
--headers	Custom headers as JSON object or file path (for proxy auth)
--provider-metadata	Provider-specific metadata as JSON object or file path

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 SPACE -o json
# or by name/ID directly:
ax ai-integrations get NAME_OR_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 NAME_OR_ID --name "New Name"

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

# Change the model list (replaces all existing model names)
ax ai-integrations update NAME_OR_ID --model-name gpt-4o --model-name gpt-4o-mini

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

# Restrict visibility to specific spaces (full replace — lists all spaces that should have access)
ax ai-integrations update NAME_OR_ID \
  --scopings '[{"space_id": "SPACE_GLOBAL_ID", "scoping_type": "include"}]'

Add --space SPACE when using a name instead of ID. Any flag accepted by create can be passed to update.

--scopings flag: Controls which spaces can use this integration. Accepts a JSON array of scoping rules. Replaces all existing scopings on update. Use ax spaces list -o json to find space global IDs.

---

Delete an AI Integration

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

ax ai-integrations delete NAME_OR_ID --force
ax ai-integrations delete NAME_OR_ID --space SPACE --force   # required when using name instead of ID

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 SPACE
has_api_key: false after create	Credentials were not saved — re-run update with the correct --api-key or --provider-metadata
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

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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.