github/arize-ai-provider-integration

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

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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 |

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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.

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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

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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.

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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.

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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 |

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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.