Updated mentions of control plane to plane engine.

.github/workflows/release.yml

@@ -64,7 +64,7 @@ jobs:
               echo "type=cli" >> $GITHUB_OUTPUT
               echo "version=${TEST_TAG#cli-v}" >> $GITHUB_OUTPUT
             elif [[ $TEST_TAG == peng-v* ]]; then
-              echo "type=controlplane" >> $GITHUB_OUTPUT
+              echo "type=planengine" >> $GITHUB_OUTPUT
               echo "version=${TEST_TAG#peng-v}" >> $GITHUB_OUTPUT
             elif [[ $TEST_TAG == sdk-v* ]]; then
               echo "type=sdk" >> $GITHUB_OUTPUT
@@ -80,7 +80,7 @@ jobs:
               echo "type=cli" >> $GITHUB_OUTPUT
               echo "version=${TAG#cli-v}" >> $GITHUB_OUTPUT
             elif [[ $TAG == peng-v* ]]; then
-              echo "type=controlplane" >> $GITHUB_OUTPUT
+              echo "type=planengine" >> $GITHUB_OUTPUT
               echo "version=${TAG#peng-v}" >> $GITHUB_OUTPUT
             elif [[ $TAG == sdk-v* ]]; then
               echo "type=sdk" >> $GITHUB_OUTPUT
@@ -279,7 +279,7 @@ jobs:
           if [ "$RELEASE_TYPE" = "full" ]; then
             # Only add notes if the component has changes
             [ "${{ needs.prepare-release.outputs.has_cli }}" = "true" ] && add_component_notes "cli" "$VERSION" || echo "Skipping CLI notes"
-            [ "${{ needs.prepare-release.outputs.has_planengine }}" = "true" ] && add_component_notes "controlplane" "$VERSION" || echo "Skipping Plan Engine notes"  # Fixed from control-plane to controlplane
+            [ "${{ needs.prepare-release.outputs.has_planengine }}" = "true" ] && add_component_notes "planengine" "$VERSION" || echo "Skipping Plan Engine notes"
             [ "${{ needs.prepare-release.outputs.has_sdk }}" = "true" ] && add_component_notes "sdks" "$VERSION" || echo "Skipping SDK notes"
           else
             add_component_notes "$RELEASE_TYPE" "$VERSION"

README.md

@@ -35,7 +35,7 @@ Orra coordinates tasks across your existing stack, agents and any tools run as s
 
 ### Prerequisites
 
-- [Docker](https://docs.docker.com/desktop/) and [Docker Compose](https://docs.docker.com/compose/install/) - For running the control plane server (powers the Plan Engine)
+- [Docker](https://docs.docker.com/desktop/) and [Docker Compose](https://docs.docker.com/compose/install/) - For running the Plan Engine
 - Set up Reasoning and Embedding Models to power task planning and execution plan caching/validation
 
 #### Setup Reasoning Models
@@ -95,15 +95,15 @@ orra version
 
 → [Full CLI documentation](docs/cli.md)
 
-### 2. Get Orra Running
+### 2. Get Orra Plan Engine Running
 
-Clone the repository and start the control plane:
+Clone the repository and start the Plan Engine:
 
 ```shell
 git clone https://github.com/ezodude/orra.git
-cd orra/controlplane
+cd orra/planengine
 
-# Start the control plane
+# Start the Plan Engine
 docker compose up --build
 ```
 

docs/cli.md

@@ -50,7 +50,7 @@ orra version
 # Create a new project
 orra projects add my-ai-app
 
-# Add a webhook to receive results (assumes the control plane is running with docker compose)
+# Add a webhook to receive results (assumes the orra Plan Engine is running with docker compose)
 orra webhooks add http://host.docker.internal:3000/webhooks/results
 
 # Generate an API key for your services

docs/compensations.md

@@ -108,7 +108,7 @@ Compensations can have four outcomes:
 
 3. **Handling failures**
    - If a compensation fails, throw or raise the failure as an error from the revert handler.
-   - The Orra control plane will capture the error and deal with it accordingly.
+   - The orra Plan Engine will capture the error and deal with it accordingly.
 
 4. **Monitoring**
    - Track compensation attempts and failures

docs/sdks/js-sdk.md

@@ -61,7 +61,7 @@ customerChatSvc.start(async (task) => {
 		return { response };
 	} catch (error) {
 		// Once you determine the task should fail, throw the error.
-		// Orra will handle failure propagation to the control plane.
+		// Orra will handle failure propagation to the Plan Engine.
 		throw error;
 	}
 });

docs/sdks/python-sdk.md

@@ -62,7 +62,7 @@ async def main():
             return ChatOutput(response=response)
         except Exception as e:
             # Once you determine the task should fail, throw the error.
-            # Orra will handle failure propagation to the control plane.
+            # orra will handle failure propagation to the Plan Engine.
             raise
 
     await asyncio.gather(cust_chat_svc.start())

examples/README.md

@@ -30,7 +30,7 @@ Having deployed agent architectures in production, here's what to watch for:
 ## Quick Links
 
 - [Documentation](../docs) - Everything you need to know
-- [Control Plane Setup](../README.md#2-get-orra-running) - Required before running examples
+- [Plan Engine Setup](../README.md#2-get-orra-plan-engine-running) - Required before running examples
 - [CLI Reference](../docs/cli.md) - Essential commands for development
 
 Need help? Join us on [GitHub Discussion](https://github.com/orra-dev/orra/discussions).

examples/crewai-ghostwriters/README.md

@@ -40,7 +40,7 @@ for `ORRA_API_KEY`.
 
 ## Running the Example
 
-1. Ensure the control plane is running, then start the webhook server (in a separate terminal):
+1. Ensure the orra Plan Engine is running, then start the webhook server (in a separate terminal):
 
 ```bash
 # Start the webhook server using the verify subcommand
@@ -86,10 +86,10 @@ In this context the timeout was configured using the CLI's `verify` command usin
 Sometimes the `writer` Crew get stuck writing and re-writing infinitely. This is a
 known [ReACT prompt](https://www.promptingguide.ai/techniques/react) issue, where the prompt repetitively invokes the same function over and over.
 
-Here, Orra is very patient because timeout has been increased to `5m`. But it does kill the orchestration after a while.
-However, feel free to kill the Agent running process and start it again WITHOUT stopping the control plane.
+Here, the Plan Engine is very patient because timeout has been increased to `5m`. But it does kill the orchestration after a while.
+However, feel free to kill the Agent running process and start it again WITHOUT stopping the Plan Engine.
 
-Generally, you can keep the control plane running, while you work and update the CrewAI Agent code. Then simply,
+Generally, you can keep the Plan Engine running, while you work and update the CrewAI Agent code. Then simply,
 
 - `ctrl+c` to stop the running agents
 - Then, run the agents again using `poetry run python src/main.py`.

examples/echo-python/README.md

@@ -82,7 +82,7 @@ You should see the result both in the webhook server terminal and through the in
 
 ```bash
 # This curl command is equivalent to orra verify run performs internally  
-## Send an echo orchestration request to the control plane
+## Send an echo orchestration request to the orra Plan Engine
 
 curl -X POST http://localhost:8005/orchestrations \
   -H "Authorization: Bearer $ORRA_API_KEY" \