Update toml-reference.mdx

toml-reference/toml-reference.mdx

@@ -10,7 +10,6 @@ The configuration is organized into the following main sections:
 - **[cerebrium.hardware]** Compute resources including CPU, memory, and GPU specifications
 - **[cerebrium.scaling]** Auto-scaling behavior and replica management
 - **[cerebrium.dependencies]** Package management for Python (pip), system (apt), and Conda dependencies
-- **[cerebrium.build]** Build optimizations including UV package manager support (Optional)
 
 ## Deployment Configuration
 
@@ -26,12 +25,45 @@ The `[cerebrium.deployment]` section defines core deployment settings.
 | shell_commands        | string[] | []                     | Commands to run at the end of the build                     |
 | pre_build_commands    | string[] | []                     | Commands to run before dependencies install                 |
 | docker_base_image_url | string   | "debian:bookworm-slim" | Base Docker image                                           |
+| use_uv                | boolean  | false                  | Use UV for faster Python package installation               |
 
 <Info>
   Changes to python_version or docker_base_image_url trigger full rebuilds since
   they affect the base environment.
 </Info>
 
+### UV Package Manager
+
+UV is a fast Python package installer written in Rust that can significantly speed up deployment times. When enabled, UV will be used instead of pip for installing Python dependencies.
+
+<Info>
+UV typically installs packages 10-100x faster than pip, especially beneficial for:
+
+- Large dependency trees
+- Multiple packages
+- Clean builds without cache
+
+</Info>
+
+**Example with UV enabled:**
+
+```toml
+[cerebrium.build]
+use_uv = true
+```
+
+### Monitoring UV Usage
+
+Check your build logs for these indicators:
+
+- **UV_PIP_INSTALL_STARTED** - UV is successfully being used
+- **PIP_INSTALL_STARTED** - Standard pip installation (when `use_uv=false`)
+
+<Warning>
+  While UV is compatible with most packages, some edge cases may cause build
+  failures, such as legacy packages with non-standard metadata.
+</Warning>
+
 ## Runtime Configuration
 
 The `[cerebrium.runtime.custom]` section configures custom web servers and runtime behavior.
@@ -147,46 +179,6 @@ apt = "pkglist.txt"
 conda = "conda_pkglist.txt"
 ```
 
-## Build Configuration
-
-The `[cerebrium.build]` section configures build-time optimizations and tools.
-
-| Option | Type    | Default | Description                                   |
-| ------ | ------- | ------- | --------------------------------------------- |
-| use_uv | boolean | false   | Use UV for faster Python package installation |
-
-### UV Package Manager
-
-UV is a fast Python package installer written in Rust that can significantly speed up deployment times. When enabled, UV will be used instead of pip for installing Python dependencies.
-
-<Info>
-UV typically installs packages 10-100x faster than pip, especially beneficial for:
-
-- Large dependency trees
-- Multiple packages
-- Clean builds without cache
-
-</Info>
-
-**Example with UV enabled:**
-
-```toml
-[cerebrium.build]
-use_uv = true
-```
-
-### Monitoring UV Usage
-
-Check your build logs for these indicators:
-
-- **UV_PIP_INSTALL_STARTED** - UV is successfully being used
-- **PIP_INSTALL_STARTED** - Standard pip installation (when `use_uv=false`)
-
-<Warning>
-  While UV is compatible with most packages, some edge cases may cause build
-  failures, such as legacy packages with non-standard metadata.
-</Warning>
-
 ## Complete Example
 
 ```toml
@@ -199,6 +191,8 @@ exclude = [".*"]
 shell_commands = []
 pre_build_commands = []
 docker_base_image_url = "debian:bookworm-slim"
+use_uv = true
+# Enable fast package installation with UV (omit or set to false if you want to use pip)
 
 [cerebrium.runtime.custom]
 port = 8000
@@ -240,8 +234,4 @@ ffmpeg = "latest"
 # pip = "requirements.txt"
 # apt = "pkglist.txt"
 # conda = "conda_pkglist.txt"
-
-[cerebrium.build]
-use_uv = true
-# Enable fast package installation with UV (ignore or set to false if you want to use pip)
 ```