feat(env-vars): rename SPLUNK_AO_LOG_STREAM → SPLUNK_AO_AGENT_STREAM (HYBIM-914)

README.md

@@ -79,7 +79,7 @@ the SDK APIs or environment variables:
 
 ```shell
 export SPLUNK_AO_PROJECT="your-project-name"
-export SPLUNK_AO_LOG_STREAM="your-log-stream-name"
+export SPLUNK_AO_AGENT_STREAM="your-log-stream-name"
 ```
 
 Set `SPLUNK_AO_LOGGING_DISABLED=true` to disable telemetry collection and
@@ -95,7 +95,7 @@ import os
 from splunk_ao import splunk_ao_context
 from splunk_ao.openai import openai
 
-# If you've set your SPLUNK_AO_PROJECT and SPLUNK_AO_LOG_STREAM env vars, you can skip this step
+# If you've set your SPLUNK_AO_PROJECT and SPLUNK_AO_AGENT_STREAM env vars, you can skip this step
 splunk_ao_context.init(project="your-project-name", log_stream="your-log-stream-name")
 
 # Initialize the Agent Observability wrapped OpenAI client
@@ -126,7 +126,7 @@ def make_nested_call():
     call_openai()
     call_openai()
 
-# If you've set your SPLUNK_AO_PROJECT and SPLUNK_AO_LOG_STREAM env vars, you can skip this step
+# If you've set your SPLUNK_AO_PROJECT and SPLUNK_AO_AGENT_STREAM env vars, you can skip this step
 splunk_ao_context.init(project="your-project-name", log_stream="your-log-stream-name")
 
 # This will create a trace with a workflow span and two nested LLM spans containing the OpenAI calls
@@ -229,7 +229,7 @@ agent_control.init(
 )
 ```
 
-The helper resolves an explicit log stream ID, `SPLUNK_AO_LOG_STREAM_ID`, or an
+The helper resolves an explicit log stream ID, `SPLUNK_AO_AGENT_STREAM_ID`, or an
 already-initialized `splunk_ao_context` logger. It does not import the Agent
 Control SDK or resolve log stream names over the network. If you use a direct
 Agent Control client instead of `agent_control.init(...)`, pass

examples/agent/crewAI/research_crew/README.md

@@ -55,7 +55,7 @@ cd sdk-examples/python/agent/crewAI/research_crew
 cp .env.example .env
 ```
 
-In addition to API keys, you’ll need to specify a Splunk AO project and log stream (e.g. SPLUNK_AO_PROJECT and SPLUNK_AO_LOG_STREAM). All CrewAI run data will be logged to this destination in Splunk AO. See
+In addition to API keys, you’ll need to specify a Splunk AO project and log stream (e.g. SPLUNK_AO_PROJECT and SPLUNK_AO_AGENT_STREAM). All CrewAI run data will be logged to this destination in Splunk AO. See
 [Understanding the Splunk AO Integration](#understanding-the-galileo-integration) for more detail.
 
 3. Install project dependencies into the active environment:
@@ -97,9 +97,9 @@ Creating a CrewAIEventListener() instance is all that’s required to enable Spl
 - Uses OpenTelemetry (OTel) to instrument Crew execution events
 - Reads Splunk AO configuration from environment variables
 - Logs all run data to the Splunk AO project and log stream specified by
-  `SPLUNK_AO_PROJECT` and `SPLUNK_AO_LOG_STREAM`
+  `SPLUNK_AO_PROJECT` and `SPLUNK_AO_AGENT_STREAM`
 
-No additional configuration or code changes are required. All data from this run is logged to the Splunk AO project and log stream specified by your environment configuration (for example, SPLUNK_AO_PROJECT and SPLUNK_AO_LOG_STREAM).
+No additional configuration or code changes are required. All data from this run is logged to the Splunk AO project and log stream specified by your environment configuration (for example, SPLUNK_AO_PROJECT and SPLUNK_AO_AGENT_STREAM).
 
 ## CrewAI Support
 

examples/agent/google-adk/README.md

@@ -23,7 +23,7 @@ GOOGLE_API_KEY=
 SPLUNK_AO_API_ENDPOINT=
 SPLUNK_AO_API_KEY=
 SPLUNK_AO_PROJECT=
-SPLUNK_AO_LOG_STREAM=
+SPLUNK_AO_AGENT_STREAM=
 ```
 
 For the `SPLUNK_AO_API_ENDPOINT`, this is different to the console URL that you would normally use. If you are using `app.galileo.ai` for example, the endpoint is `https://api.galileo.ai/otel/v1/traces`.

examples/agent/google-adk/my_agent/.env.example

@@ -6,7 +6,7 @@ SPLUNK_AO_API_KEY="YOUR_SPLUNK_AO_API_KEY"
 SPLUNK_AO_PROJECT="google-adk"
 
 # The name of the Log stream you want to use for logging
-SPLUNK_AO_LOG_STREAM="google-adk-log-stream"
+SPLUNK_AO_AGENT_STREAM="google-adk-log-stream"
 
 # Provide texhe console url below if you are using a
 # custom deployment, and not using the free tier, or app.galileo.ai.

examples/agent/langchain-agent/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO

examples/agent/langchain-agent/00-tutorial/00-Getting-Started.md

@@ -34,7 +34,7 @@ Copy the existing `.env.example` file, and rename it to `.env` in your project d
 ```
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url

examples/agent/langchain-middleware/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO

examples/agent/langchain-middleware/main.py

@@ -42,7 +42,7 @@ def get_stock_price(symbol: str) -> str:
 def main() -> None:
     # Use the Splunk AO context manager to specify project and log stream
     # All traces created within this context will be associated with this project
-    with splunk_ao_context(project=os.getenv("SPLUNK_AO_PROJECT", "langchain-middleware"), log_stream=os.getenv("SPLUNK_AO_LOG_STREAM", "agent_execution")):
+    with splunk_ao_context(project=os.getenv("SPLUNK_AO_PROJECT", "langchain-middleware"), log_stream=os.getenv("SPLUNK_AO_AGENT_STREAM", "agent_execution")):
         # Create an agent with SplunkAOMiddleware for automatic logging
         # SplunkAOMiddleware automatically captures:
         # - Agent lifecycle events (start/completion)

examples/agent/langgraph-fsi-agent/after/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=                              # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=Multi-Agent Banking Chatbot   # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=Default Log Stream         # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=Default Log Stream         # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=                        # Optional if you are using a hosted version of Splunk AO

examples/agent/langgraph-open-telemetry/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-api-key-here                              # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name   # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-log-stream-name     # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-log-stream-name     # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=                        # Optional if you are using a hosted version of Splunk AO

examples/agent/langgraph-open-telemetry/README.md

@@ -44,7 +44,7 @@ SPLUNK_AO_API_KEY=your_splunk_ao_api_key_here
 SPLUNK_AO_PROJECT=your_project_name
 
 # Log stream for organizing traces
-SPLUNK_AO_LOG_STREAM=langgraph
+SPLUNK_AO_AGENT_STREAM=langgraph
 
 # Splunk AO console URL (if using a custom deployment is different than https://app.galileo.ai)
 SPLUNK_AO_CONSOLE_URL=https://app.galileo.ai
@@ -57,7 +57,7 @@ OPENAI_API_KEY=your_openai_api_key_here
 | ------------------- | -------- | ------------------------------------------------------------------------------ |
 | `SPLUNK_AO_API_KEY`   | Yes      | Your Splunk AO API key from [settings](https://app.galileo.ai/settings/api-keys) |
 | `SPLUNK_AO_PROJECT`   | Yes      | Splunk AO project name (create one in your dashboard)                            |
-| `SPLUNK_AO_LOG_STREAM` | Yes      | Log stream name for organizing traces (default: "default")                     |
+| `SPLUNK_AO_AGENT_STREAM` | Yes      | Log stream name for organizing traces (default: "default")                     |
 | `OPENAI_API_KEY`    | Yes      | Your OpenAI API key from [OpenAI](https://platform.openai.com/api-keys)        |
 
 ### Run

examples/agent/langgraph-otel/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-api-key-here                              # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name   # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-log-stream-name     # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-log-stream-name     # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=                        # Optional if you are using a hosted version of Splunk AO

examples/agent/langgraph-otel/README.md

@@ -44,7 +44,7 @@ SPLUNK_AO_API_KEY=your_splunk_ao_api_key_here
 SPLUNK_AO_PROJECT=your_project_name
 
 # Log stream for organizing traces
-SPLUNK_AO_LOG_STREAM=langgraph
+SPLUNK_AO_AGENT_STREAM=langgraph
 
 # Splunk AO console URL (if using a custom deployment is different than https://app.galileo.ai)
 SPLUNK_AO_CONSOLE_URL=https://app.galileo.ai
@@ -57,7 +57,7 @@ OPENAI_API_KEY=your_openai_api_key_here
 | -------------------- | -------- | ------------------------------------------------------------------------------ |
 | `SPLUNK_AO_API_KEY`    | Yes      | Your Splunk AO API key from [settings](https://app.galileo.ai/settings/api-keys) |
 | `SPLUNK_AO_PROJECT`    | Yes      | Splunk AO project name (create one in your dashboard)                            |
-| `SPLUNK_AO_LOG_STREAM` | Yes      | Log stream name for organizing traces (default: "default")                     |
+| `SPLUNK_AO_AGENT_STREAM` | Yes      | Log stream name for organizing traces (default: "default")                     |
 | `OPENAI_API_KEY`     | Yes      | Your OpenAI API key from [OpenAI](https://platform.openai.com/api-keys)        |
 
 ### Run

examples/agent/langgraph-otel/main.py

@@ -42,7 +42,7 @@
 headers = {
     "Splunk-AO-API-Key": os.environ.get("SPLUNK_AO_API_KEY"),  # Your unique API key
     "project": os.environ.get("SPLUNK_AO_PROJECT"),  # Which Splunk AO project to use
-    "logstream": os.environ.get("SPLUNK_AO_LOG_STREAM", "default"),  # Organize traces within the project
+    "logstream": os.environ.get("SPLUNK_AO_AGENT_STREAM", "default"),  # Organize traces within the project
 }
 
 # OpenTelemetry requires headers in a specific format: "key1=value1,key2=value2"

examples/agent/langgraph-telecom-agent/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=                              # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=Multi-Agent Telecom Chatbot   # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=prod         # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=prod         # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=                        # Optional if you are using a hosted version of Splunk AO

examples/agent/microsoft-agent-framework/.env.example

@@ -5,4 +5,4 @@ OPENAI_API_KEY=
 # SPLUNK_AO_API_ENDPOINT=    # Optional, only set this if you are using a custom Splunk AO deployment
 SPLUNK_AO_API_KEY=
 SPLUNK_AO_PROJECT=
-SPLUNK_AO_LOG_STREAM=
+SPLUNK_AO_AGENT_STREAM=

examples/agent/microsoft-agent-framework/README.md

@@ -22,7 +22,7 @@ OPENAI_API_KEY=
 # SPLUNK_AO_API_ENDPOINT=    # Optional, only set this if you are using a custom Splunk AO deployment
 SPLUNK_AO_API_KEY=
 SPLUNK_AO_PROJECT=
-SPLUNK_AO_LOG_STREAM=
+SPLUNK_AO_AGENT_STREAM=
 ```
 
 For the `SPLUNK_AO_API_ENDPOINT`, you only need to set this if you are using a custom Splunk AO deployment. There is no need to set this if you are using [app.galileo.ai](https://app.galileo.ai). This endpoint is different to the console URL that you would normally use. See the [Splunk AO OpenTelemetry documentation](https://docs.galileo.ai/sdk-api/third-party-integrations/opentelemetry-and-openinference#self-hosted-deployments) for more details.

examples/agent/minimal-agent-example/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO

examples/agent/pydantic-ai-support-agent/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO

examples/agent/startup-simulator-3000/.example.env

@@ -9,7 +9,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO

examples/agent/startup-simulator-3000/README.md

@@ -94,7 +94,7 @@ Your `.env` file should look like this:
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO

examples/agent/startup-simulator-3000/TUTORIAL.md

@@ -79,7 +79,7 @@ Your `.env` file should look like this:
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO
@@ -209,7 +209,7 @@ def generate_startup():
 ```python
 logger = SplunkAOLogger(
     project=os.environ.get("SPLUNK_AO_PROJECT"),
-    log_stream=os.environ.get("SPLUNK_AO_LOG_STREAM")
+    log_stream=os.environ.get("SPLUNK_AO_AGENT_STREAM")
 )
 trace = logger.start_trace(f"Generate startup pitch - {mode} mode")
 ```

examples/agent/startup-simulator-3000/agent_framework/utils/logging.py

@@ -53,7 +53,7 @@ def get_galileo_logger():
                 # This logger will automatically use environment variables for configuration:
                 # - SPLUNK_AO_API_KEY: Your API key for authentication
                 # - SPLUNK_AO_PROJECT: Your project name/ID
-                # - SPLUNK_AO_LOG_STREAM: The log stream to use
+                # - SPLUNK_AO_AGENT_STREAM: The log stream to use
                 _global_galileo_logger = SplunkAOLogger()
                 print("✅ Splunk AO logger initialized successfully using environment variables")
             except Exception as e:

examples/agent/startup-simulator-3000/app.py

@@ -170,7 +170,7 @@ async def run_agent(industry: str, audience: str, random_word: str, mode: str =
 if __name__ == "__main__":
     # Verify Splunk AO configuration
     project_id = os.environ.get("SPLUNK_AO_PROJECT")
-    log_stream = os.environ.get("SPLUNK_AO_LOG_STREAM")
+    log_stream = os.environ.get("SPLUNK_AO_AGENT_STREAM")
     api_key = os.environ.get("SPLUNK_AO_API_KEY")
 
     print("🔍 Splunk AO Configuration:")

examples/agent/strands-agents/.env.example

@@ -5,4 +5,4 @@ AWS_BEARER_TOKEN_BEDROCK=
 SPLUNK_AO_API_ENDPOINT=
 SPLUNK_AO_API_KEY=
 SPLUNK_AO_PROJECT=
-SPLUNK_AO_LOG_STREAM=
+SPLUNK_AO_AGENT_STREAM=

examples/agent/strands-agents/README.md

@@ -22,7 +22,7 @@ AWS_BEARER_TOKEN_BEDROCK=
 # SPLUNK_AO_API_ENDPOINT=    # Optional, only set this if you are using a custom Splunk AO deployment
 SPLUNK_AO_API_KEY=
 SPLUNK_AO_PROJECT=
-SPLUNK_AO_LOG_STREAM=
+SPLUNK_AO_AGENT_STREAM=
 ```
 
 For the `SPLUNK_AO_API_ENDPOINT`, you only need to set this if you are using a custom Splunk AO deployment. There is no need to set this if you ae using [app.galileo.ai](https://app.galileo.ai). This endpoint is different to the console URL that you would normally use. See the [Splunk AO OpenTelemetry documentation](https://docs.galileo.ai/sdk-api/third-party-integrations/opentelemetry-and-openinference#self-hosted-deployments) for more details.

examples/agent/strands-agents/agent.py

@@ -17,7 +17,7 @@
 headers = {
     "Splunk-AO-API-Key": os.environ["SPLUNK_AO_API_KEY"],
     "project": os.environ["SPLUNK_AO_PROJECT"],
-    "logstream": os.environ["SPLUNK_AO_LOG_STREAM"],
+    "logstream": os.environ["SPLUNK_AO_AGENT_STREAM"],
 }
 
 os.environ["OTEL_EXPORTER_OTLP_HEADERS"] = ",".join([f"{k}={v}" for k, v in headers.items()])

examples/agent/weather-vibes-agent/.env.example

@@ -1,7 +1,7 @@
 # Splunk AO Environment Variables
 SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
 SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-SPLUNK_AO_LOG_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
+SPLUNK_AO_AGENT_STREAM=your-splunk-ao-log-stream       # The name of the log stream you want to use for logging.
 
 # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
 # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO

examples/agent/weather-vibes-agent/00-tutorial/01-weather-vibes-overview.md

@@ -104,7 +104,7 @@ By completing this tutorial, you will:
     # Splunk AO Environment Variables
     SPLUNK_AO_API_KEY=your-splunk-ao-api-key             # Your Splunk AO API key.
     SPLUNK_AO_PROJECT=your-splunk-ao-project-name        # Your Splunk AO project name.
-    SPLUNK_AO_LOG_STREAM=weather_vibes_agent
+    SPLUNK_AO_AGENT_STREAM=weather_vibes_agent
 
     # Provide the console url below if you are using a custom deployment, and not using app.galileo.ai
     # SPLUNK_AO_CONSOLE_URL=your-splunk-ao-console-url   # Optional if you are using a hosted version of Splunk AO