> For clean Markdown of any page, append .md to the page URL.
> For a complete documentation index, see https://apidocs.movieknight.site/llms.txt.
> For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://apidocs.movieknight.site/_mcp/server.

# Picker (Let AI Choose)

POST https://movieknight-server-7d8h.onrender.com/api/ai/picker
Content-Type: application/json

**What:** Pick movies FROM the caller's own collection that best match a prompt, each with a one-line reason. Owner-only.

**Auth:** Bearer token required. Spends 1 daily AI action on success.

**Body (JSON):**

| Field        | Type    | Required | Description                                                                 | Example                        |
| ------------ | ------- | -------- | --------------------------------------------------------------------------- | ------------------------------ |
| collectionId | string  | yes      | The caller's collection id.                                                 | `66b0c1d2e3f4a5b6c7d8e9f0`     |
| prompt       | string  | yes      | Natural-language ask.                                                       | `a tense thriller for tonight` |
| count        | integer | no       | How many to return. Clamped to 1-3 and to the collection size; invalid = 1. | `2`                            |
| exclude\_ids | array   | no       | TMDB ids currently on screen (Smart Reroll soft filter).                    | `[550]`                        |

**Returns:** `data = [{ id, title, poster_path, vote_average, release_date, releaseYear, reason }]` + sibling `aiUsage`.

Reference: https://apidocs.movieknight.site/movie-knight-api/ai/picker-let-ai-choose

## Authentication

- `Authorization` header (bearer token, required)

## Servers

- `https://movieknight-server-7d8h.onrender.com` (Production (Render), default)
- `http://localhost:3000` (Local development)

## Request

### Body (application/json)

- `prompt` (string, required)
- `collectionId` (string, required)
- `count` (integer, optional)
- `exclude_ids` (list of integer, optional)

## Response

### 200

OK

- `ok` (boolean, required)
- `data` (list of object, required)
  - `id` (integer, required)
  - `title` (string, required)
  - `reason` (string, required)
  - `poster_path` (string, required)
  - `releaseYear` (integer, required)
  - `release_date` (date, required)
  - `vote_average` (double, required)
- `aiUsage` (object, required)
  - `used` (integer, required)
  - `limit` (integer, required)
  - `remaining` (integer, required)

## Examples

**Request**

```json
{
  "prompt": "a tense thriller for tonight",
  "collectionId": "{{collectionId}}",
  "count": 2
}
```

**Response**

```json
{
  "ok": true,
  "data": [
    {
      "id": 27205,
      "title": "Inception",
      "reason": "A layered heist thriller that keeps the tension high from start to finish.",
      "poster_path": "/oYuLEt3zVCKq57qu2F8dT7NIa6f.jpg",
      "releaseYear": 2010,
      "release_date": "2010-07-15",
      "vote_average": 8.369
    },
    {
      "id": 550,
      "title": "Fight Club",
      "reason": "Dark, twist-driven, and gripping right up to the final scene.",
      "poster_path": "/pB8BM7pdSp6B6Ih7QZ4DrQ3PmJK.jpg",
      "releaseYear": 1999,
      "release_date": "1999-10-15",
      "vote_average": 8.438
    }
  ],
  "aiUsage": {
    "used": 1,
    "limit": 5,
    "remaining": 4
  }
}
```

**SDK Code**

```python AI_Picker (Let AI Choose)_example
import requests

url = "https://movieknight-server-7d8h.onrender.com/api/ai/picker"

payload = {
    "prompt": "a tense thriller for tonight",
    "collectionId": "{{collectionId}}",
    "count": 2
}
headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json"
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())
```

```javascript AI_Picker (Let AI Choose)_example
const url = 'https://movieknight-server-7d8h.onrender.com/api/ai/picker';
const options = {
  method: 'POST',
  headers: {Authorization: 'Bearer <token>', 'Content-Type': 'application/json'},
  body: '{"prompt":"a tense thriller for tonight","collectionId":"{{collectionId}}","count":2}'
};

try {
  const response = await fetch(url, options);
  const data = await response.json();
  console.log(data);
} catch (error) {
  console.error(error);
}
```

```go AI_Picker (Let AI Choose)_example
package main

import (
	"fmt"
	"strings"
	"net/http"
	"io"
)

func main() {

	url := "https://movieknight-server-7d8h.onrender.com/api/ai/picker"

	payload := strings.NewReader("{\n  \"prompt\": \"a tense thriller for tonight\",\n  \"collectionId\": \"{{collectionId}}\",\n  \"count\": 2\n}")

	req, _ := http.NewRequest("POST", url, payload)

	req.Header.Add("Authorization", "Bearer <token>")
	req.Header.Add("Content-Type", "application/json")

	res, _ := http.DefaultClient.Do(req)

	defer res.Body.Close()
	body, _ := io.ReadAll(res.Body)

	fmt.Println(res)
	fmt.Println(string(body))

}
```

```ruby AI_Picker (Let AI Choose)_example
require 'uri'
require 'net/http'

url = URI("https://movieknight-server-7d8h.onrender.com/api/ai/picker")

http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true

request = Net::HTTP::Post.new(url)
request["Authorization"] = 'Bearer <token>'
request["Content-Type"] = 'application/json'
request.body = "{\n  \"prompt\": \"a tense thriller for tonight\",\n  \"collectionId\": \"{{collectionId}}\",\n  \"count\": 2\n}"

response = http.request(request)
puts response.read_body
```

```java AI_Picker (Let AI Choose)_example
import com.mashape.unirest.http.HttpResponse;
import com.mashape.unirest.http.Unirest;

HttpResponse<String> response = Unirest.post("https://movieknight-server-7d8h.onrender.com/api/ai/picker")
  .header("Authorization", "Bearer <token>")
  .header("Content-Type", "application/json")
  .body("{\n  \"prompt\": \"a tense thriller for tonight\",\n  \"collectionId\": \"{{collectionId}}\",\n  \"count\": 2\n}")
  .asString();
```

```php AI_Picker (Let AI Choose)_example
<?php
require_once('vendor/autoload.php');

$client = new \GuzzleHttp\Client();

$response = $client->request('POST', 'https://movieknight-server-7d8h.onrender.com/api/ai/picker', [
  'body' => '{
  "prompt": "a tense thriller for tonight",
  "collectionId": "{{collectionId}}",
  "count": 2
}',
  'headers' => [
    'Authorization' => 'Bearer <token>',
    'Content-Type' => 'application/json',
  ],
]);

echo $response->getBody();
```

```csharp AI_Picker (Let AI Choose)_example
using RestSharp;

var client = new RestClient("https://movieknight-server-7d8h.onrender.com/api/ai/picker");
var request = new RestRequest(Method.POST);
request.AddHeader("Authorization", "Bearer <token>");
request.AddHeader("Content-Type", "application/json");
request.AddParameter("application/json", "{\n  \"prompt\": \"a tense thriller for tonight\",\n  \"collectionId\": \"{{collectionId}}\",\n  \"count\": 2\n}", ParameterType.RequestBody);
IRestResponse response = client.Execute(request);
```

```swift AI_Picker (Let AI Choose)_example
import Foundation

let headers = [
  "Authorization": "Bearer <token>",
  "Content-Type": "application/json"
]
let parameters = [
  "prompt": "a tense thriller for tonight",
  "collectionId": "{{collectionId}}",
  "count": 2
] as [String : Any]

let postData = JSONSerialization.data(withJSONObject: parameters, options: [])

let request = NSMutableURLRequest(url: NSURL(string: "https://movieknight-server-7d8h.onrender.com/api/ai/picker")! as URL,
                                        cachePolicy: .useProtocolCachePolicy,
                                    timeoutInterval: 10.0)
request.httpMethod = "POST"
request.allHTTPHeaderFields = headers
request.httpBody = postData as Data

let session = URLSession.shared
let dataTask = session.dataTask(with: request as URLRequest, completionHandler: { (data, response, error) -> Void in
  if (error != nil) {
    print(error as Any)
  } else {
    let httpResponse = response as? HTTPURLResponse
    print(httpResponse)
  }
})

dataTask.resume()
```