---
title: Add human feedback using Worker Bindings
description: Provide human feedback on AI Gateway evaluations programmatically using Worker bindings.
image: https://edgetunnel-b2h.pages.dev/dev-products-preview.png
---

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# Add human feedback using Worker Bindings

This guide explains how to provide human feedback for AI Gateway evaluations using Worker bindings.

## 1\. Run an AI Evaluation

Start by sending a prompt to the AI model through your AI Gateway.

**JavaScript**

```javascript
const resp = await env.AI.run(
  "@cf/meta/llama-3.1-8b-instruct",
  {
    prompt: "tell me a joke",
  },
  {
    gateway: {
      id: "my-gateway",
    },
  },
);


const myLogId = env.AI.aiGatewayLogId;
```

Let the user interact with or evaluate the AI response. This interaction will inform the feedback you send back to the AI Gateway.

## 2\. Send Human Feedback

Use the [patchLog()](https://edgetunnel-b2h.pages.dev/ai-gateway/usage/worker-binding-methods/#patchlog) method to provide feedback for the AI evaluation.

**JavaScript**

```javascript
await env.AI.gateway("my-gateway").patchLog(myLogId, {
  feedback: 1, // all fields are optional; set values that fit your use case
  score: 100,
  metadata: {
    user: "123", // Optional metadata to provide additional context
  },
});
```

## Feedback parameters explanation

* `feedback`: is either `-1` for negative or `1` to positive, `0` is considered not evaluated.
* `score`: A number between 0 and 100.
* `metadata`: An object containing additional contextual information.

### patchLog: Send Feedback

The `patchLog` method allows you to send feedback, score, and metadata for a specific log ID. All object properties are optional, so you can include any combination of the parameters:

**JavaScript**

```javascript
gateway.patchLog("my-log-id", {
  feedback: 1,
  score: 100,
  metadata: {
    user: "123",
  },
});
```

Returns: `Promise<void>` (Make sure to `await` the request.)

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