udpate doc links to openedge 1.2

Author: sajeevrajput

microservices/dlstreamer-pipeline-server/README-dockerhub.md

@@ -6,11 +6,11 @@ Video analytics involves the conversion of video streams into valuable insights
 
 ## Deploy using Docker Compose
 ---
-For more details on deployment, refer to the [documentation](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/main/user-guide/get-started.html).
+For more details on deployment, refer to the [documentation](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/1.2.0/user-guide/get-started.html).
 
 ## Deploy using Kubernetes Charts
 ---
-For more details on deployment, refer to the [documentation](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/main/user-guide/how-to-deploy-with-helm.html).
+For more details on deployment, refer to the [documentation](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/1.2.0/user-guide/how-to-deploy-with-helm.html).
 
 ## Supported versions
 ---

microservices/dlstreamer-pipeline-server/README.md

@@ -23,7 +23,7 @@ Deep Learning Streamer Pipeline Server (DL Streamer Pipeline Server) is a Python
 Video analytics involves the conversion of video streams into valuable insights through the application of video processing, inference, and analytics operations. It finds applications in various business sectors including healthcare, retail, entertainment, and industrial domains. The algorithms utilized in video analytics are responsible for performing tasks such as object detection, classification, identification, counting, and tracking on the input video stream.
 
 
-Note - The detailed documentation of Deep Learning Streamer Pipeline Server can be found [here](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/main/user-guide/Overview.html)
+Note - The detailed documentation of Deep Learning Streamer Pipeline Server can be found [here](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/1.2.0/user-guide/Overview.html)
 
 ## Architecture
 
@@ -167,7 +167,7 @@ Run the following commands:
 
 ---
 ### Run default sample
-Refer [here](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/main/user-guide/get-started.html) to run default sample upon bringing up Intel® Deep Learning Streamer Pipeline Server container.
+Refer [here](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/1.2.0/user-guide/get-started.html) to run default sample upon bringing up Intel® Deep Learning Streamer Pipeline Server container.
 
 ---
 ## Legal compliance: Build a docker image containing sources for GPL/LGPL/AGPL binary distributed components
@@ -188,6 +188,6 @@ Refer [here](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreame
 ---
 ## Learn More
 
--   Understand the components, services, architecture, and data flow, in the [Overview](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/main/user-guide/Overview.html)
--   For more details on advanced configuration, usage of features refer to [Advanced User Guide](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/main/user-guide/advanced-guide/Overview.html). 
--   For more tutorials refer [here](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/main/user-guide/get-started.html)
+-   Understand the components, services, architecture, and data flow, in the [Overview](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/1.2.0/user-guide/Overview.html)
+-   For more details on advanced configuration, usage of features refer to [Advanced User Guide](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/1.2.0/user-guide/advanced-guide/Overview.html). 
+-   For more tutorials refer [here](https://docs.openedgeplatform.intel.com/edge-ai-libraries/dlstreamer-pipeline-server/1.2.0/user-guide/get-started.html)

microservices/dlstreamer-pipeline-server/docs/user-guide/how-to-deploy-with-helm.md

@@ -27,10 +27,10 @@ Follow the steps in this section to quickly pull the latest pre-built DL Streame
 
 - Download helm chart with the following command
 
-    `helm pull oci://ghcr.io/open-edge-platform/edge-ai-libraries/dlstreamer-pipeline-server --version 20250805-EAL1.2`
+    `helm pull oci://registry-1.docker.io/intel/dlstreamer-pipeline-server --version 3.1.0-helm`
 - unzip the package using the following command
 
-    `tar -xvf dlstreamer-pipeline-server-20250805-EAL1.2.tgz`
+    `tar -xvf dlstreamer-pipeline-server-3.1.0.tgz`
 - Get into the helm directory
 
     `cd dlstreamer-pipeline-server`

microservices/dlstreamer-pipeline-server/docs/user-guide/how-to-publish-metadata-over-ros2.md

@@ -8,7 +8,7 @@ Ensure to build/pull the DL Streamer Pipeline Server extended image.
 
 [Build instructions](./how-to-build-from-source.md)
 
-Pull DL Streamer Pipeline Server extended image from [dockerhub](https://hub.docker.com/r/intel/dlstreamer-pipeline-server) or [ghcr](https://github.com/open-edge-platform/edge-ai-libraries/pkgs/container/edge-ai-libraries%2Fintel%2Fedge-ai-dlstreamer-pipeline-server)
+Pull DL Streamer Pipeline Server extended image from [dockerhub](https://hub.docker.com/r/intel/dlstreamer-pipeline-server)
 - Ensure to update the `DLSTREAMER_PIPELINE_SERVER_IMAGE` value in `[WORKDIR]/edge-ai-libraries/microservices/dlstreamer-pipeline-server/docker/.env` file accordingly, in order to run the pulled image.
 
 ## Publish 

microservices/dlstreamer-pipeline-server/docs/user-guide/how-to-run-udf-pipelines.md

@@ -6,7 +6,7 @@ Ensure to build/pull the DL Streamer Pipeline Server extended image.
 
 [Build instructions](./how-to-build-from-source.md)
 
-Pull DL Streamer Pipeline Server extended image from [dockerhub](https://hub.docker.com/r/intel/dlstreamer-pipeline-server) or [ghcr](https://github.com/open-edge-platform/edge-ai-libraries/pkgs/container/edge-ai-libraries%2Fintel%2Fedge-ai-dlstreamer-pipeline-server)
+Pull DL Streamer Pipeline Server extended image from [dockerhub](https://hub.docker.com/r/intel/dlstreamer-pipeline-server)
 - Ensure to update the `DLSTREAMER_PIPELINE_SERVER_IMAGE` value in `[WORKDIR]/edge-ai-libraries/microservices/dlstreamer-pipeline-server/docker/.env` file accordingly, in order to run the pulled image.
 
 ## Steps

microservices/dlstreamer-pipeline-server/docs/user-guide/release_notes/august-2025.md

@@ -1,4 +1,4 @@
-# August 2025 (Upcoming release)
+# August 2025
 
 ## v3.1.0
 
@@ -19,6 +19,6 @@
 - Bug in appsink destination and publisher configurations
 
 ### Updates
-- DL Streamer updated to TBD
+- DL Streamer updated to 2025.1.2
 - Interface to Model registry updated with environment variables instead of config.json
 - Documentation updates: Cross stream batching, latency tracing, tutorial on launching and managing pipelines