
Arize Ai Provider Integration
- 1.9k installs
- 40 repo stars
- Updated July 27, 2026
- arize-ai/arize-skills
How to register, list, update, and delete LLM provider credentials stored in Arize.
About
The Arize AI Integration skill creates, reads, updates, and deletes credential stores for any LLM provider (OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom endpoints) within an Arize account or space. Developers use it to register provider API keys or IAM roles once, then reference the integration ID in evaluators and other Arize workflows. Key workflows include listing integrations to find existing credentials, creating new integrations with provider-specific flags (API key, base URL, provider metadata), rotating keys via update, and managing scoping rules to control which spaces can access each integration.
- Support for 8+ LLM providers with provider-specific auth (API keys, IAM roles, GCP service accounts, bearer tokens)
- Partial update semantics - change only the fields you need without re-entering full config
- Scoping rules to restrict integration visibility to specific spaces within an Arize account
- List and filter integrations by name, with pagination for large result sets
- Integration IDs returned as base64 identifiers for use in downstream evaluator and experiment commands
Arize Ai Provider Integration by the numbers
- 1,875 all-time installs (skills.sh)
- +166 installs in the week ending Jul 28, 2026 (Skillselion tracking)
- Ranked #250 of 4,386 Backend & APIs skills by installs in the Skillselion catalog
- Security screen: LOW risk (skills.sh audit)
- Data as of Jul 28, 2026 (Skillselion catalog sync)
arize-ai-provider-integration capabilities & compatibility
- Capabilities
- create ai integrations for any llm provider · list and filter integrations by name and space · update integration credentials and config · delete integrations with confirmation · apply scoping rules to restrict access
- Works with
- openai · anthropic · aws · gcp
- Use cases
- api development · token optimization
- Platforms
- macOS · Windows · Linux · WSL
- Runs
- Hosted SaaS
- Pricing
- Free
What arize-ai-provider-integration says it does
Supports any LLM provider (e.g. OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM)
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| Installs | 1.9k |
|---|---|
| repo stars | ★ 40 |
| Security audit | 3 / 3 scanners passed |
| Last updated | July 27, 2026 |
| Repository | arize-ai/arize-skills ↗ |
What it does
Store and manage LLM provider credentials in Arize for evaluators and platform features.
Who is it for?
Teams using Arize evaluators or LLM-as-judge workflows that need to manage credentials for multiple providers.
Skip if: Local LLM deployments not exposed via provider APIs; direct credential passing in code.
When should I use this skill?
User mentions AI integration, LLM provider credentials, create integration, list integrations, update credentials, delete integration, or connecting an LLM provider to Arize.
What you get
Credentials are stored once and referenced by integration ID across evaluators, experiments, and platform workflows.
- corrected ax profile configuration
By the numbers
- 8+ supported LLM providers: OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, Vertex AI, Gemini, NVIDIA NIM, custom
- 3 authentication types: default, proxy_with_headers, bearer_token
- List pagination supports 1-100 results per page
Files
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.
If an ax command fails, troubleshoot based on the error:
command not foundor version error → see references/ax-setup.md401 Unauthorized/ missing API key → runax profiles showto 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 listto pick by name, or ask the user - LLM provider call fails (missing OPENAI_API_KEY / ANTHROPIC_API_KEY) → run
ax ai-integrations list --space SPACEto check for platform-managed credentials. If none exist, ask the user to provide the key or create an integration via the arize-ai-provider-integration skill - Security: Never read
.envfiles or search the filesystem for credentials. Useax profilesfor Arize credentials andax ai-integrationsfor LLM provider keys. If credentials are not available through these channels, ask the user.
---
List AI Integrations
List all integrations accessible in a space:
ax ai-integrations list --space SPACEFilter 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 jsonKey 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 IDUse 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 SPACEIf 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_KEYAnthropic
ax ai-integrations create \
--name "My Anthropic Integration" \
--provider anthropic \
--api-key $ANTHROPIC_API_KEYAzure 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_KEYNVIDIA 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_KEYSupported 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 IDOmit --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 |
---
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
---
Save Credentials for Future Use
See references/ax-profiles.md § Save Credentials for Future Use.
ax Profile Setup
Consult this when authentication fails (401, missing profile, missing API key). Do NOT run these checks proactively.
Use this when there is no profile, or a profile has incorrect settings (wrong API key, wrong region, etc.).
1. Inspect the current state
ax profiles showLook at the output to understand what's configured:
API Key: (not set)or missing → key needs to be created/updated- No profile output or "No profiles found" → no profile exists yet
- Connected but getting
401 Unauthorized→ key is wrong or expired - Connected but wrong endpoint/region → region needs to be updated
2. Fix a misconfigured profile
If a profile exists but one or more settings are wrong, patch only what's broken.
Never pass a raw API key value as a flag. Always reference it via the ARIZE_API_KEY environment variable. If the variable is not already set in the shell, instruct the user to set it first, then run the command:
# If ARIZE_API_KEY is already exported in the shell:
ax profiles update --api-key $ARIZE_API_KEY
# Fix the region (no secret involved — safe to run directly)
ax profiles update --region us-east-1b
# Fix both at once
ax profiles update --api-key $ARIZE_API_KEY --region us-east-1bupdate only changes the fields you specify — all other settings are preserved. If no profile name is given, the active profile is updated.
3. Create a new profile
If no profile exists, or if the existing profile needs to point to a completely different setup (different org, different region):
Always reference the key via `$ARIZE_API_KEY`, never inline a raw value.
# Requires ARIZE_API_KEY to be exported in the shell first
ax profiles create --api-key $ARIZE_API_KEY
# Create with a region
ax profiles create --api-key $ARIZE_API_KEY --region us-east-1b
# Create a named profile
ax profiles create work --api-key $ARIZE_API_KEY --region us-east-1bTo use a named profile with any ax command, add -p NAME:
ax spans export PROJECT -p work4. Getting the API key
Never ask the user to paste their API key into the chat. Never log, echo, or display an API key value.
If ARIZE_API_KEY is not already set, instruct the user to export it in their shell:
export ARIZE_API_KEY="..." # user pastes their key here in their own terminalThey can find their key at https://app.arize.com/admin > API Keys. Recommend they create a scoped service key (not a personal user key) — service keys are not tied to an individual account and are safer for programmatic use. Keys are space-scoped — make sure they copy the key for the correct space.
Once the user confirms the variable is set, proceed with ax profiles create --api-key $ARIZE_API_KEY or ax profiles update --api-key $ARIZE_API_KEY as described above.
5. Verify
After any create or update:
ax profiles showConfirm the API key and region are correct, then retry the original command.
Space
There is no profile flag for space. Save it as an environment variable — accepts a space name (e.g., my-workspace) or a base64 space ID (e.g., U3BhY2U6...). Find yours with ax spaces list -o json.
macOS/Linux — add to ~/.zshrc or ~/.bashrc:
export ARIZE_SPACE="my-workspace" # name or base64 IDThen source ~/.zshrc (or restart terminal).
Windows (PowerShell):
[System.Environment]::SetEnvironmentVariable('ARIZE_SPACE', 'my-workspace', 'User')Restart terminal for it to take effect.
Save Credentials for Future Use
At the end of the session, if the user manually provided any credentials during this conversation and those values were NOT already loaded from a saved profile or environment variable, offer to save them.
Skip this entirely if:
- The API key was already loaded from an existing profile or
ARIZE_API_KEYenv var - The space was already set via
ARIZE_SPACEenv var - The user only used base64 project IDs (no space was needed)
How to offer: Use AskQuestion: "Would you like to save your Arize credentials so you don't have to enter them next time?" with options "Yes, save them" / "No thanks".
If the user says yes:
1. API key — Run ax profiles show to check the current state. Then run ax profiles create --api-key $ARIZE_API_KEY or ax profiles update --api-key $ARIZE_API_KEY (the key must already be exported as an env var — never pass a raw key value).
2. Space — See the Space section above to persist it as an environment variable.
ax CLI — Troubleshooting
Consult this only when an ax command fails. Do NOT run these checks proactively.
Check version first
If ax is installed (not command not found), always run ax --version before investigating further. The version must be 0.19.0 or higher — many errors are caused by an outdated install. If the version is too old, see Version too old below.
ax: command not found
macOS/Linux: 1. Check common locations: ~/.local/bin/ax, ~/Library/Python/*/bin/ax 2. Install: uv tool install arize-ax-cli (preferred), pipx install arize-ax-cli, or pip install arize-ax-cli 3. Add to PATH if needed: export PATH="$HOME/.local/bin:$PATH"
Windows (PowerShell): 1. Check: Get-Command ax or where.exe ax 2. Common locations: %APPDATA%\Python\Scripts\ax.exe, %LOCALAPPDATA%\Programs\Python\Python*\Scripts\ax.exe 3. Install: pip install arize-ax-cli 4. Add to PATH: $env:PATH = "$env:APPDATA\Python\Scripts;$env:PATH"
Version too old (below 0.19.0)
Upgrade: uv tool install --force --reinstall arize-ax-cli, pipx upgrade arize-ax-cli, or pip install --upgrade arize-ax-cli
SSL/certificate error
- macOS:
export SSL_CERT_FILE=/etc/ssl/cert.pem - Linux:
export SSL_CERT_FILE=/etc/ssl/certs/ca-certificates.crt - Fallback:
export SSL_CERT_FILE=$(python -c "import certifi; print(certifi.where())")
Subcommand not recognized
Upgrade ax (see above) or use the closest available alternative.
Still failing
Stop and ask the user for help.
Related skills
Forks & variants (1)
Arize Ai Provider Integration has 1 known copy in the catalog totaling 1k installs. They canonicalize to this original listing.
- github - 1k installs
FAQ
Are AI integrations account-scoped or space-scoped?
Account-scoped at creation; use --space with list, get, update, delete to control visibility. Scoping rules restrict which spaces can use each integration.
What auth types does Arize support?
default (provider API key), proxy_with_headers (custom headers), bearer_token (bearer token auth).
Can I change a provider after creating an integration?
No. Delete and recreate with the correct provider.
Is Arize Ai Provider Integration safe to install?
skills.sh reports 3 of 3 security scanners passed. Review the Security Audits panel on this page before installing in production.