release note docs

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import Image from '@theme/IdealImage';
import Tabs from '@theme/Tabs';
import TabItem from '@theme/TabItem';
# Store Model in DB Settings
Enable or disable storing model definitions in the database directly from the Admin UI—no config file edits or proxy restart required. This is especially useful for cloud deployments where updating the config is difficult or requires a long release process.
## Overview
Previously, the `store_model_in_db` setting had to be configured in `proxy_config.yaml` under `general_settings`. Changing it required editing the config and restarting the proxy, which was problematic for cloud users who don't have direct access to the config file or who want to avoid the downtime caused by restarts.
<Image img={require('../../img/ui_store_model_in_db.png')} />
**Store Model in DB Settings** lets you:
- **Enable or disable storing models in the database** Control whether model definitions are cached in your database (useful for reducing config file size and improving scalability)
- **Apply changes immediately** No proxy restart needed; settings take effect for new model operations as soon as you save
:::warning UI overrides config
Settings changed in the UI **override** the values in your config file. For example, if `store_model_in_db` is set to `false` in `general_settings`, enabling it in the UI will still persist model definitions to the database. Use the UI when you want runtime control without redeploying.
:::
## How Store Model in DB Works
When `store_model_in_db` is enabled, the LiteLLM proxy stores model definitions in the database instead of relying solely on your `proxy_config.yaml`. This provides several benefits:
- **Reduced config size** Move model definitions out of YAML for easier maintenance
- **Scalability** Database storage scales better than large YAML files
- **Dynamic updates** Models can be added or updated without editing config files
- **Persistence** Model definitions persist across proxy instances and restarts
The setting applies to all new model operations from the moment you save it.
## How to Configure Store Model in DB in the UI
### 1. Access Models + Endpoints Settings
Navigate to the Admin UI (e.g. `http://localhost:4000/ui` or your `PROXY_BASE_URL/ui`) and go to the **Models + Endpoints** page.
![](https://colony-recorder.s3.amazonaws.com/files/2026-02-22/55bc71f5-730f-4b2c-8539-8a4f46b8bd10/ascreenshot_0f7ba8f1c2694e94938996fd1b4adfcc_text_export.jpeg)
### 2. Open Settings
Click **Models + Endpoints** from the navigation menu.
![](https://colony-recorder.s3.amazonaws.com/files/2026-02-22/55bc71f5-730f-4b2c-8539-8a4f46b8bd10/ascreenshot_fc2b9e4812a9480087f4eb350fa0a792_text_export.jpeg)
### 3. Click the Settings Icon
Look for the settings (gear) icon on the Models + Endpoints page to open the configuration panel.
![](https://colony-recorder.s3.amazonaws.com/files/2026-02-22/7b394364-c281-4db8-8cad-ee322c76c935/ascreenshot_d7c8a6b234bc4e4d92aa7f09aefb13d3_text_export.jpeg)
### 4. Enable or Disable Store Model in DB
Toggle the **Store Model in DB** setting based on your preference:
- **Enabled**: Model definitions will be stored in the database
- **Disabled**: Models are read from the config file only
![](https://colony-recorder.s3.amazonaws.com/files/2026-02-22/54a263ec-ad67-4b16-ba9f-2be57c3e4cb8/ascreenshot_501abda2a6c847f79d085efce814265d_text_export.jpeg)
### 5. Save Settings
Click **Save Settings** to apply the change. No proxy restart is required; the new setting takes effect immediately for subsequent model operations.
![](https://colony-recorder.s3.amazonaws.com/files/2026-02-22/7d13559a-d4e4-41f7-993b-cb20fbfa1f6e/ascreenshot_3245f3c5bd0d43cb96c5f5ff0ccb461d_text_export.jpeg)
## Use Cases
### Cloud and Managed Deployments
When the proxy runs in a managed or cloud environment, config may be in a separate repo, require a long release cycle, or be controlled by another team. Using the UI lets you change the `store_model_in_db` setting without going through a deployment process.
### Reducing Configuration Complexity
For large deployments with hundreds of models, storing model definitions in the database reduces the size and complexity of your `proxy_config.yaml`, making it easier to maintain and version control.
### Dynamic Model Management
Enable `store_model_in_db` to support dynamic model additions and updates without editing your config file. Teams can manage models through the UI or API without needing to redeploy the proxy.
### Zero-Downtime Updates
Change the setting from the UI and have it take effect immediately—perfect for production environments where downtime must be minimized.
## Related Documentation
- [Admin UI Overview](./ui_overview.md) General guide to the LiteLLM Admin UI
- [Models and Endpoints](./models_and_endpoints.md) Managing models and API endpoints
- [Config Settings](./config_settings.md) `store_model_in_db` in `general_settings`

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@ -45,6 +45,7 @@ pip install litellm==1.81.14
- **Guardrail Model Garden** - [Easily browse built-in and partner guardrails by use case — competitor blockers, topic filters, keyword lists, GDPR PII, EU AI Act, prompt injection, and more](../../docs/proxy/guardrails/policy_templates)
- **3 new built-in guardrails** - [Competitor name blocker, topic blocker, and insults/keyword filter — all run at the gateway level, no external API, configurable per-team or key](../../docs/proxy/guardrails)
- **Compliance Playground** - [Run your guardrails against your own datasets or pre-built ones to measure performance before going live](../../docs/proxy/guardrails/policy_templates)
- **Store Model in DB Settings via UI** - [Configure model storage directly in the Admin UI without editing config files or restarting the proxy—perfect for cloud deployments](../../docs/proxy/ui_store_model_db_setting)
- **Claude Sonnet 4.6 — day 0** - [Full support across Anthropic and Vertex AI: reasoning, computer use, prompt caching, 200K context](../../docs/providers/anthropic)
- **Major performance batch** - 20+ targeted optimizations across router algorithms, logging overhead, cost calculator, and connection management — meaningfully lower latency and CPU overhead on every request
@ -62,6 +63,10 @@ A competitor name blocker, a topic blocker (keyword and embedding-based), and an
Upload your own dataset or use a pre-built one to measure how a guardrail policy performs before it goes live. See precision, recall, and false positive rate on your actual traffic patterns — so you know how the policy will behave in production before you deploy it.
## Store Model in DB Settings via UI
Previously, the `store_model_in_db` setting could only be configured in `proxy_config.yaml` under `general_settings`, requiring a proxy restart to take effect. Now you can enable or disable this setting directly from the Admin UI without any restarts. This is especially useful for cloud deployments where you don't have direct access to config files or want to avoid downtime. Enable `store_model_in_db` to move model definitions from your YAML into the database—reducing config complexity, improving scalability, and enabling dynamic model management across multiple proxy instances.
### Eval results
We benchmark every built-in guardrail against labeled datasets before shipping. Results for the two policies most relevant to topic and keyword blocking (207 investment-question cases, 299 insult cases):

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@ -334,6 +334,7 @@ const sidebars = {
"proxy/ui_credentials",
"proxy/ai_hub",
"proxy/model_compare_ui",
"proxy/ui_store_model_db_setting",
]
},
{