arize-ai-provider-integration

What problem does it solve?

This Skill eliminates the manual, error-prone work of configuring and managing LLM provider credentials for Arize, ensuring evaluators and other Arize features can reliably access the LLM services you need.

Core Features & Use Cases

• Full CRUD for LLM Integrations: Create, list, retrieve, update, and delete Arize AI integrations for any supported LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom OpenAI-compatible endpoints).
• Secure Credential Management: Store and manage LLM provider API keys, IAM roles, and service account credentials directly in Arize, avoiding hardcoded secrets in your code or environment files.
• Use Case: If you are building LLM-as-judge evaluators for Arize experiments, use this Skill to quickly set up a Bedrock integration with your IAM role, then retrieve the integration ID to attach to your evaluator configuration.

Quick Start

Use the arize-ai-provider-integration skill to create a new OpenAI integration named 'Production Judge' with your OpenAI API key, then retrieve its integration ID for use in your Arize evaluator.