LiteLLM / LiteLLM

LiteLLM Azure OpenAI Authentication Broken in v1.84.0 with enable_azure_ad_token_refresh

Fix LiteLLM Azure OAI authentication error after upgrading to 1.84.0 when using enable_azure_ad_token_refresh Includes evidence for LiteLLM troubleshooting demand.

Category
LiteLLM
Error signature
LiteLLM AuthenticationError: AzureException AuthenticationError - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable
Quick fix
Verify the account session, API key, provider settings, and environment where the failing tool is running.
Updated

What this error means

LiteLLM AuthenticationError: AzureException AuthenticationError - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable is a LiteLLM failure pattern reported for developers trying to fix litellm azure oai authentication error after upgrading to 1.84.0 when using enable_azure_ad_token_refresh. Based on the imported evidence, treat this as a tool-specific troubleshooting page rather than a generic API error.

Why this happens

Issue #27945 on BerriAI/litellm: regression in v1.84.0 breaks Azure AD token refresh. Logs show AuthenticationError despite enable_azure_ad_token_refresh=true. Worked in 1.84.0rc1. Affects production deployments using Azure OpenAI with AD auth.

Common causes

Quick fixes

  1. Confirm the exact error signature matches LiteLLM AuthenticationError: AzureException AuthenticationError - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable.
  2. Check the LiteLLM account, local tool state, and provider configuration involved in the failing workflow.
  3. Verify the account session, API key, provider settings, and environment where the failing tool is running.

Platform/tool-specific checks

Step-by-step troubleshooting

  1. Capture the exact error message and the command, editor action, or request that triggered it.
  2. Check whether the failure is account/auth, quota/rate, model/provider, local runtime, or deployment configuration.
  3. Review the source evidence below and compare it with your environment.
  4. Apply one change at a time and rerun the smallest failing action.
  5. Keep the working fix documented for the team or deployment environment.

How to prevent it

Sources checked

Evidence note: Issue #27945 on BerriAI/litellm: regression in v1.84.0 breaks Azure AD token refresh. Logs show AuthenticationError despite enable_azure_ad_token_refresh=true. Worked in 1.84.0rc1. Affects production deployments using Azure OpenAI with AD auth.

FAQ

What should I check first?

Start with the exact LiteLLM AuthenticationError: AzureException AuthenticationError - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable text and the smallest action that reproduces it.

Can I ignore this error?

No. Treat it as a failed LiteLLM workflow until the root cause is understood.

Is this guaranteed to have one fix?

No. The imported evidence supports the troubleshooting path above, but tool behavior can vary by account, plan, version, provider, and local configuration.

How do I know the fix worked?

Rerun the same command, editor action, or request. The fix is working when that action completes without LiteLLM AuthenticationError: AzureException AuthenticationError - The api_key client option must be set either by passing api_key to the client or by setting the OPENAI_API_KEY environment variable.