docs release notes

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Ishaan Jaff 2025-05-10 22:48:58 -07:00
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@ -45,18 +45,40 @@ pip install litellm==1.69.0.post1
LiteLLM v1.69.0-stable brings the following key improvements:
- **Email Invites**: Send new users onboarded to LiteLLM an email invite.
- **Email Invites 2.0**: Send new users onboarded to LiteLLM an email invite.
- **Loadbalance Batch API Models**: Easily loadbalance across multiple azure batch deployments using LiteLLM Managed Files
- **Nscale**: LLM API for compliance with European regulations.
- **Bedrock /v1/messages**: Use Bedrock Anthropic models with /v1/messages.
- **Bedrock /v1/messages**: Use Bedrock Anthropic models with Anthropic's /v1/messages.
## Email Invites
This new release brings support for:
- Sending email invites for new users added to LiteLLM.
- Sending a user their virtual key over email.
- Controlling email notification settings.
- Support for SMTP servers or Resend for sending emails.
<Image
img={require('../../img/email_2_0.png')}
style={{width: '100%', display: 'block', margin: '0 0 2rem 0'}}
/>
This release brings the following improvements to our email invite integration:
- New templates for user invited and key created events.
- Fixes for using SMTP email providers.
- Native support for Resend API.
- Ability for Proxy Admins to control email events.
For LiteLLM Cloud Users, please reach out to us if you want this enabled for your instance.
## Batch API Load Balancing
<Image
img={require('../../img/release_notes/lb_batch.png')}
style={{width: '100%', display: 'block', margin: '0 0 2rem 0'}}
/>
This release brings LiteLLM Managed File support to Batches. This is great for:
- Proxy Admins: You can now control which Batch models users can call.
- Developers: You no longer need to know the Azure deployment name when creating your batch .jsonl files - just specify the model your LiteLLM key has access to.
Over time, we expect LiteLLM Managed Files to be the way most teams use Files across `/chat/completions`, `/batch`, `/fine_tuning` endpoints.
## New Models / Updated Models
- **Gemini ([VertexAI](https://docs.litellm.ai/docs/providers/vertex#usage-with-litellm-proxy-server) + [Google AI Studio](https://docs.litellm.ai/docs/providers/gemini))**