---
title: Use KV API
description: Learn how to use Cloudflare Workers AI to interact with KV storage, enabling persistent data handling with embedded function calling in a few lines of code.
image: https://developers.cloudflare.com/dev-products-preview.png
---

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### Tags

[ AI ](https://developers.cloudflare.com/search/?tags=AI) 

# Use KV API

Interact with persistent storage to retrieve or store information enables for powerful use cases.

In this example we show how embedded function calling can interact with other resources on the Cloudflare Developer Platform with a few lines of code.

## Pre-Requisites

For this example to work, you need to provision a [KV](https://developers.cloudflare.com/kv/) namespace first. To do so, follow the [KV - Get started ](https://developers.cloudflare.com/kv/get-started/) guide.

Importantly, your Wrangler file must be updated to include the `KV` binding definition to your respective namespace.

## Worker code

Embedded function calling example with KV API

```

import { runWithTools } from "@cloudflare/ai-utils";


type Env = {

  AI: Ai;

  KV: KVNamespace;

};


export default {

  async fetch(request, env, ctx) {

    // Define function

    const updateKvValue = async ({

      key,

      value,

    }: {

      key: string;

      value: string;

    }) => {

      const response = await env.KV.put(key, value);

      return `Successfully updated key-value pair in database: ${response}`;

    };


    // Run AI inference with function calling

    const response = await runWithTools(

      env.AI,

      "@hf/nousresearch/hermes-2-pro-mistral-7b",

      {

        messages: [

          { role: "system", content: "Put user given values in KV" },

          { role: "user", content: "Set the value of banana to yellow." },

        ],

        tools: [

          {

            name: "KV update",

            description: "Update a key-value pair in the database",

            parameters: {

              type: "object",

              properties: {

                key: {

                  type: "string",

                  description: "The key to update",

                },

                value: {

                  type: "string",

                  description: "The value to update",

                },

              },

              required: ["key", "value"],

            },

            function: updateKvValue,

          },

        ],

      },

    );

    return new Response(JSON.stringify(response));

  },

} satisfies ExportedHandler<Env>;


```

## Verify results

To verify the results, run the following command

Terminal window

```

npx wrangler kv key get banana --binding KV --local


```

```json
{"@context":"https://schema.org","@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"item":{"@id":"/directory/","name":"Directory"}},{"@type":"ListItem","position":2,"item":{"@id":"/workers-ai/","name":"Workers AI"}},{"@type":"ListItem","position":3,"item":{"@id":"/workers-ai/features/","name":"Features"}},{"@type":"ListItem","position":4,"item":{"@id":"/workers-ai/features/function-calling/","name":"Function calling"}},{"@type":"ListItem","position":5,"item":{"@id":"/workers-ai/features/function-calling/embedded/","name":"Embedded"}},{"@type":"ListItem","position":6,"item":{"@id":"/workers-ai/features/function-calling/embedded/examples/","name":"Examples"}},{"@type":"ListItem","position":7,"item":{"@id":"/workers-ai/features/function-calling/embedded/examples/kv/","name":"Use KV API"}}]}
```