> ## Documentation Index
> Fetch the complete documentation index at: https://docs.keywordsai.co/llms.txt
> Use this file to discover all available pages before exploring further.

# Customer identifier

> You can pass customer identifier to your traces to get more insights into your LLM workflows.

<Note>
  You can only pass Keywords AI params to traces with Keywords AI tracing SDK. External integrations like **OpenAI Agents SDK** are not supported yet.
</Note>

## Example code

<Tabs>
  <Tab title="Example Python code">
    This is how to add Keywords AI params to your workflow traces:

    <Note>
      It's the same way to add Keywords AI params to a workflow or a task.
    </Note>

    ```python agent.py {4-11} theme={"system"}
    @workflow(name="my_workflow")
    def my_workflow():
        # Add Keywords AI params to the current trace
        with keywordsai_span_attributes(
            keywordsai_params={
                "customer_params": {
                    "customer_identifier": "123",
                },
                "metadata": {"some_key": "some_value"},
            }
        ):
            # Your LLM calls or other operations here
            client = OpenAI()
            response = client.chat.completions.create(
                model="gpt-4o",
                messages=[{"role": "user", "content": "Hello, world!"}],
            )
        return response
    ```
  </Tab>

  <Tab title="Example JS/TS code">
    This is how to add Keywords AI params to your workflow traces:

    <Note>
      It's the same way to add Keywords AI params to a workflow or a task.
    </Note>

    Once you integrate the Keywords AI tracing SDK in your project, and annotate the workflows and tasks, you can easily add Keywords AI params in your traces.

    Here's an example of how to add Keywords AI params to a workflow:

    ```typescript agent.tsx {4, 8-13} theme={"system"}
    async function testWorkflow() {
      return await keywordsAI.withWorkflow({ name: "test" }, 
      async () => {
        keywordsAI.withKeywordsAISpanAttributes(
          async () => {
            testTask();
          },
          {
            customer_params: {
              customer_identifier: "123",
            },
            metadata: { some_key: "some_value" },
          }
        );
        return "test workflow";
      });
    }

    ```
  </Tab>
</Tabs>