arize-ai-provider-integration

安装量: 834
排名: #4755

安装

npx skills add https://github.com/github/awesome-copilot --skill 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 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 anthropic --api-key azureOpenAI --api-key , --base-url awsBedrock --role-arn vertexAI --project-id , --location gemini --api-key nvidiaNim --api-key , --base-url custom --base-url 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

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