docs update

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Ishaan Jaff 2025-06-26 15:32:33 -07:00
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---
title: "[Pre-Release] v1.73.0-stable"
title: "v1.73.0-stable - Set default team for new users"
slug: "v1-73-0-stable"
date: 2025-06-21T10:00:00
authors:
@ -20,13 +20,14 @@ import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
:::info
:::warning
This is a pre-release version.
## Known Issues
The production version will be released on Wednesday.
The `non-root` docker image has a known issue around the UI not loading. If you use the `non-root` docker image we recommend waiting before upgrading to this version. We will post a patch fix for this.
:::
## Deploy this version
<Tabs>
@ -36,14 +37,14 @@ The production version will be released on Wednesday.
docker run \
-e STORE_MODEL_IN_DB=True \
-p 4000:4000 \
ghcr.io/berriai/litellm:v1.73.0.rc.1
ghcr.io/berriai/litellm:v1.73.0-stable
```
</TabItem>
<TabItem value="pip" label="Pip">
``` showLineNumbers title="pip install litellm"
pip install litellm==1.73.0rc1
pip install litellm==1.73.0.post1
```
</TabItem>
@ -54,9 +55,9 @@ pip install litellm==1.73.0rc1
* **Why Upgrade**
- User Management: Set default team for new users - enables giving all users $10 API keys for exploration.
- Passthrough Endpoints v2: Enhanced support for subroutes and custom cost tracking for passthrough endpoints.
- Health Check Dashboard: New frontend UI for monitoring model health and status.
- User Management: Set default team for new users - enables giving all users $10 API keys for exploration.
* **Who Should Read**
- Teams using **Passthrough Endpoints**
- Teams using **User Management** on LiteLLM
@ -72,6 +73,26 @@ pip install litellm==1.73.0rc1
## Key Highlights
### Set Default Team for New Users
<Image img={require('../../img/default_teams_product_ss.jpg')}/>
<br/>
v1.73.0 introduces the ability to assign new users to Default Teams. This makes it much easier to enable experimentation with LLMs within your company, while also **ensuring spend for exploration is tracked correctly.**
What this means for **Proxy Admins**:
- Set a max budget per team member: This sets a max amount an individual can spend within a team.
- Set a default team for new users: When a new user signs in via SSO / invitation link, they will be automatically added to this team.
What this means for **Developers**:
- View models across teams: You can now go to `Models + Endpoints` and view the models you have access to, across all teams you're a member of.
- Safe create key modal: If you have no model access outside of a team (default behaviour), you are now nudged to select a team on the Create Key modal. This resolves a common confusion point for new users onboarding to the proxy.
[Get Started](https://docs.litellm.ai/docs/tutorials/default_team_self_serve)
### Passthrough Endpoints v2
<Image img={require('../../img/release_notes/v2_pt.png')}/>
@ -98,25 +119,6 @@ This release brings support for Proxy Admins to select which specific models to
This allows Proxy Admins to immediately identify which specific models are in a bad state and view the full error stack trace for faster troubleshooting.
### Set Default Team for New Users
<Image img={require('../../img/default_teams_product_ss.jpg')}/>
<br/>
v1.73.0 introduces the ability to assign new users to Default Teams. This makes it much easier to enable experimentation with LLMs within your company, while also **ensuring spend for exploration is tracked correctly.**
What this means for **Proxy Admins**:
- Set a max budget per team member: This sets a max amount an individual can spend within a team.
- Set a default team for new users: When a new user signs in via SSO / invitation link, they will be automatically added to this team.
What this means for **Developers**:
- View models across teams: You can now go to `Models + Endpoints` and view the models you have access to, across all teams you're a member of.
- Safe create key modal: If you have no model access outside of a team (default behaviour), you are now nudged to select a team on the Create Key modal. This resolves a common confusion point for new users onboarding to the proxy.
[Get Started](https://docs.litellm.ai/docs/tutorials/default_team_self_serve)
---
@ -135,7 +137,7 @@ What this means for **Developers**:
| Azure | `azure/o3-pro` | 200k | $2.00 | $8.00 | Updated |
| Azure OpenAI | Azure Codex Models | Various | Various | Various | New |
## Updated Models
### Updated Models
#### Features
- **[Azure](../../docs/providers/azure)**
@ -167,7 +169,7 @@ What this means for **Developers**:
- Add thinking parameter support - [PR](https://github.com/BerriAI/litellm/pull/11914)
### Bugs
#### Bugs
- **[VertexAI](../../docs/providers/vertex)**
- Handle missing tokenCount in promptTokensDetails - [PR](https://github.com/BerriAI/litellm/pull/11896)
@ -258,7 +260,7 @@ What this means for **Developers**:
---
### Logging / Guardrails Integrations
## Logging / Guardrails Integrations
#### Bugs
- **[Prometheus](../../docs/observability/prometheus)**