Update workersai.md

Author: tore-statsig

docs/integrations/workersai.md

@@ -120,7 +120,7 @@ async function initStatsig(env: Env) {
 **Explanation:**
 
 1.  **`initStatsig(env)`**: This function initializes the Statsig SDK using the `CloudflareKVDataAdapter` to fetch configurations from Cloudflare KV, ensuring low-latency access to your experiment setups. Make sure to replace `'statsig-YOUR_STATSIG_PROJECT_ID'` with your actual Statsig project ID and configure `STATSIG_SERVER_API_KEY` and `STATSIG_KV` as environment variables in your Worker.
-2.  **`Statsig.getExperimentSync(...)`**: This is the core of the experimentation. It retrieves the assigned experiment variant for the current user (based on `rayID`) for the `workers_ai_prompt` experiment. The `get()` method then safely retrieves the `prompt` and `model` parameters defined in your Statsig experiment, falling back to default values if the experiment or parameter is not found.
+2.  **`Statsig.getExperimentSync(...)`**: This is the core of the experimentation. It retrieves the assigned experiment variant for the current user (based on `rayID`) for the `workers_ai_experiment` experiment. The `get()` method then safely retrieves the `prompt` and `model` parameters defined in your Statsig experiment, falling back to default values if the experiment or parameter is not found.
 3.  **`env.AI.run(model, { prompt })`**: This executes the AI model provided by Cloudflare Workers AI with the dynamically chosen `model` and `prompt`.
 4.  **Latency Measurement**: `performance.now()` is used to capture the start and end times of the AI inference, allowing you to track the `ai_inference_ms` metric.
 5.  **`logUsageToStatsig(...)`**: This function logs a custom event (`cf_ai`) to Statsig. It includes the `model` used as the event value and attaches metadata such as `ai_inference_ms` and any `usage` information (e.g., token counts) returned by the AI model. This data is crucial for analyzing model performance and cost.