Arize AI Provider Integration
Creates, reads, updates, and deletes Arize AI integrations that store LLM provider...
Install
npx skills add github/awesome-copilot --skill arize-ai-provider-integration -g -a claude-code -y- Repository
- github/awesome-copilot40.7k
- Category
- AI and agents
- Updated
- 6d ago
- License
- MIT
- Context cost
- Mediumabout 2,449 tokens
- Runs scripts
- No, instructions only
What it does
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.
Arize AI Integration Skill
SPACE, Most--spaceflags and theARIZE_SPACEenv var accept a space name (e.g.,my-workspace) or a base64 space ID (e.g.,U3BhY2U6...). Find yours withax spaces list. Note:ai-integrations createdoes not accept--space, AI integrations are account-scoped. Use--spaceonly withlist,get,update, anddelete.
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), orbearer_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.
