docs: fix SGLang docs links (docs.sglang.ai → docs.sglang.io) (#5894)

Signed-off-by: Dan Gil <dagil@nvidia.com>
Co-authored-by: Cursor <cursoragent@cursor.com>

README.md

@@ -133,7 +133,7 @@ sudo apt install python3-dev
 uv pip install "ai-dynamo[sglang]"
 ```
 
-> **Note:** For CUDA 13 (B300/GB300), the container is recommended. See [SGLang install docs](https://docs.sglang.ai/start/install.html) for details.
+> **Note:** For CUDA 13 (B300/GB300), the container is recommended. See [SGLang install docs](https://docs.sglang.io/get_started/install.html) for details.
 
 **TensorRT-LLM**
 

docs/_includes/quick_start_local.rst

@@ -63,7 +63,7 @@ Install system dependencies and the Dynamo wheel for your chosen backend:
 .. note::
 
    For CUDA 13 (B300/GB300), the container is recommended. See
-   `SGLang install docs <https://docs.sglang.ai/start/install.html>`_ for details.
+   `SGLang install docs <https://docs.sglang.io/get_started/install.html>`_ for details.
 
 **TensorRT-LLM**
 

docs/backends/sglang/prometheus.md

@@ -9,7 +9,7 @@ SPDX-License-Identifier: Apache-2.0
 
 When running SGLang through Dynamo, SGLang engine metrics are automatically passed through and exposed on Dynamo's `/metrics` endpoint (default port 8081). This allows you to access both SGLang engine metrics (prefixed with `sglang:`) and Dynamo runtime metrics (prefixed with `dynamo_*`) from a single worker backend endpoint.
 
-**For the complete and authoritative list of all SGLang metrics**, always refer to the [official SGLang Production Metrics documentation](https://docs.sglang.ai/references/production_metrics.html).
+**For the complete and authoritative list of all SGLang metrics**, always refer to the [official SGLang Production Metrics documentation](https://docs.sglang.io/references/production_metrics.html).
 
 **For Dynamo runtime metrics**, see the [Dynamo Metrics Guide](../../observability/metrics.md).
 
@@ -77,7 +77,7 @@ sglang:generation_tokens_total{model_name="meta-llama/Llama-3.1-8B-Instruct"} 75
 sglang:cache_hit_rate{model_name="meta-llama/Llama-3.1-8B-Instruct"} 0.0075
 ```
 
-**Note:** The specific metrics shown above are examples and may vary depending on your SGLang version. Always inspect your actual `/metrics` endpoint or refer to the [official documentation](https://docs.sglang.ai/references/production_metrics.html) for the current list.
+**Note:** The specific metrics shown above are examples and may vary depending on your SGLang version. Always inspect your actual `/metrics` endpoint or refer to the [official documentation](https://docs.sglang.io/references/production_metrics.html) for the current list.
 
 ### Metric Categories
 
@@ -88,7 +88,7 @@ SGLang provides metrics in the following categories (all prefixed with `sglang:`
 - **Latency metrics** - Request and token latency measurements
 - **Disaggregation metrics** - Metrics specific to disaggregated deployments (when enabled)
 
-**Note:** Specific metrics are subject to change between SGLang versions. Always refer to the [official documentation](https://docs.sglang.ai/references/production_metrics.html) or inspect the `/metrics` endpoint for your SGLang version.
+**Note:** Specific metrics are subject to change between SGLang versions. Always refer to the [official documentation](https://docs.sglang.io/references/production_metrics.html) or inspect the `/metrics` endpoint for your SGLang version.
 
 ## Available Metrics
 
@@ -99,7 +99,7 @@ The official SGLang documentation includes complete metric definitions with:
 - Setup guide for Prometheus + Grafana monitoring
 - Troubleshooting tips and configuration examples
 
-For the complete and authoritative list of all SGLang metrics, see the [official SGLang Production Metrics documentation](https://docs.sglang.ai/references/production_metrics.html).
+For the complete and authoritative list of all SGLang metrics, see the [official SGLang Production Metrics documentation](https://docs.sglang.io/references/production_metrics.html).
 
 ## Implementation Details
 
@@ -111,7 +111,7 @@ For the complete and authoritative list of all SGLang metrics, see the [official
 ## Related Documentation
 
 ### SGLang Metrics
-- [Official SGLang Production Metrics](https://docs.sglang.ai/references/production_metrics.html)
+- [Official SGLang Production Metrics](https://docs.sglang.io/references/production_metrics.html)
 - [SGLang GitHub - Metrics Collector](https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/metrics/collector.py)
 
 ### Dynamo Metrics

examples/basics/multinode/README.md

@@ -82,7 +82,7 @@ Note the IP address of this node - you'll need it for worker configuration.
 
 ### 2. Software Requirements
 
-Install Dynamo with [SGLang](https://docs.sglang.ai/) support:
+Install Dynamo with [SGLang](https://docs.sglang.io/) support:
 
 ```bash
 pip install ai-dynamo[sglang]

fern/pages/backends/sglang/prometheus.md

@@ -9,7 +9,7 @@
 
 When running SGLang through Dynamo, SGLang engine metrics are automatically passed through and exposed on Dynamo's `/metrics` endpoint (default port 8081). This allows you to access both SGLang engine metrics (prefixed with `sglang:`) and Dynamo runtime metrics (prefixed with `dynamo_*`) from a single worker backend endpoint.
 
-**For the complete and authoritative list of all SGLang metrics**, always refer to the [official SGLang Production Metrics documentation](https://docs.sglang.ai/references/production_metrics.html).
+**For the complete and authoritative list of all SGLang metrics**, always refer to the [official SGLang Production Metrics documentation](https://docs.sglang.io/references/production_metrics.html).
 
 **For Dynamo runtime metrics**, see the [Dynamo Metrics Guide](../../observability/metrics.md).
 
@@ -77,7 +77,7 @@ sglang:generation_tokens_total{model_name="meta-llama/Llama-3.1-8B-Instruct"} 75
 sglang:cache_hit_rate{model_name="meta-llama/Llama-3.1-8B-Instruct"} 0.0075
 ```
 
-**Note:** The specific metrics shown above are examples and may vary depending on your SGLang version. Always inspect your actual `/metrics` endpoint or refer to the [official documentation](https://docs.sglang.ai/references/production_metrics.html) for the current list.
+**Note:** The specific metrics shown above are examples and may vary depending on your SGLang version. Always inspect your actual `/metrics` endpoint or refer to the [official documentation](https://docs.sglang.io/references/production_metrics.html) for the current list.
 
 ### Metric Categories
 
@@ -88,7 +88,7 @@ SGLang provides metrics in the following categories (all prefixed with `sglang:`
 - **Latency metrics** - Request and token latency measurements
 - **Disaggregation metrics** - Metrics specific to disaggregated deployments (when enabled)
 
-**Note:** Specific metrics are subject to change between SGLang versions. Always refer to the [official documentation](https://docs.sglang.ai/references/production_metrics.html) or inspect the `/metrics` endpoint for your SGLang version.
+**Note:** Specific metrics are subject to change between SGLang versions. Always refer to the [official documentation](https://docs.sglang.io/references/production_metrics.html) or inspect the `/metrics` endpoint for your SGLang version.
 
 ## Available Metrics
 
@@ -99,7 +99,7 @@ The official SGLang documentation includes complete metric definitions with:
 - Setup guide for Prometheus + Grafana monitoring
 - Troubleshooting tips and configuration examples
 
-For the complete and authoritative list of all SGLang metrics, see the [official SGLang Production Metrics documentation](https://docs.sglang.ai/references/production_metrics.html).
+For the complete and authoritative list of all SGLang metrics, see the [official SGLang Production Metrics documentation](https://docs.sglang.io/references/production_metrics.html).
 
 ## Implementation Details
 
@@ -111,7 +111,7 @@ For the complete and authoritative list of all SGLang metrics, see the [official
 ## Related Documentation
 
 ### SGLang Metrics
-- [Official SGLang Production Metrics](https://docs.sglang.ai/references/production_metrics.html)
+- [Official SGLang Production Metrics](https://docs.sglang.io/references/production_metrics.html)
 - [SGLang GitHub - Metrics Collector](https://github.com/sgl-project/sglang/blob/main/python/sglang/srt/metrics/collector.py)
 
 ### Dynamo Metrics