Bug — the "Content Entity Seeder" tool generates a JSON Schema with one extra array level and breaks when creating/editing content
### **Environment**
| **Item** | **Value** |
|----------|-----------|
| Drupal | 11.4.6 |
| PHP | 8.4 |
| `drupal/ai` | 1.4.8 |
| `drupal/ai_agents` | 1.3.5 (the same `execute()` is present on the `1.4.x` branch / `1.4.0-beta1`) |
| Provider / model | OpenAI `gpt-5.4` (via `ai_provider_openai` 1.2.5) |
| Tool | `ai_agent:content_entity_seeder` → `Drupal\ai_agents\Plugin\AiFunctionCall\ContentEntitySeeder` |
---
### **Description**
`ContextDefinitionNormalizer` wraps the `ContentEntitySeeder`'s `entity_array` parameter in one extra array level (`multiple` + `ComplexToolItems` applied together). The JSON Schema advertised to the LLM becomes `array<array<object>>`, but `ContentEntitySeeder::execute()` reads `array<object>`. Every tool call that is well-formed according to the schema results in `Warning: Undefined array key "field_name"` and then `InvalidArgumentException: Field is unknown.`
The `ContentEntitySeeder` plugin declares the `entity_array` context with **two** markers at the same time:
```
// web/modules/contrib/ai_agents/src/Plugin/AiFunctionCall/ContentEntitySeeder.php
'entity_array' => new ContextDefinition(
data_type: 'map',
label: new TranslatableMarkup("Entity Array"),
description: new TranslatableMarkup("The entity array to seed the entity with."),
required: TRUE,
multiple: TRUE, // (1)
constraints: [
'ComplexToolItems' => ContentEntityFieldValuesList::class, // (2)
],
),
```
In `Drupal\ai\Utility\ContextDefinitionNormalizer::normalize()` these two paths are independent and **both** are applied:
```
// Complex lists.
if (isset($constraints['ComplexToolItems'])) {
$property->setType('array'); // (2) already becomes an array of objects
$sub_item = $this->getFunctionCallPluginManager()->getFunctionCallFromClass($constraints['ComplexToolItems']);
$normalized = $sub_item->normalize()->renderFunctionArray();
$property->setItems($normalized['parameters'] ?? []);
}
// ...
// If multiple, wrap in array.
if ($definition->isMultiple()) {
$array_property = new ToolsPropertyInput($key);
$array_property->setType('array'); // (1) wraps it AGAIN
$array_property->setItems($property->renderPropertyArray());
$properties[] = $array_property;
}
```
Result: `entity_array` is advertised as an **array of array of object**. The same double wrap recurses one level down into `field_values` (which is also `map` + `multiple` + `ComplexToolItems`) and into `values` (`list` + `multiple`).
The plugin's own `execute()`, however, iterates `entity_array` as a **flat** list of field objects:
```
// ContentEntitySeeder::execute() — lines ~156-164
foreach ($entity_array as $lists) {
$field_name = $lists['field_name']; // line 158
$values = [];
foreach ($lists['field_values'] as $field_value) { // line 160
$values[$field_value['value_name']] = $field_value['values'][0];
}
$data[$field_name][] = $values;
}
// ...
foreach ($data as $field_name => $value) {
// ...
$entity->set($field_name, $value); // $entity->set('', ...)
}
```
When the model follows the advertised (over-nested) schema, each `$lists` is the spurious inner array, so `$lists['field_name']` and `$lists['field_values']` are undefined → `$field_name = NULL`, `foreach` over `NULL`. `$data` ends up with the empty key `''`, and `$entity->set('', ...)` throws `InvalidArgumentException: Field is unknown.` (caught in `ai_chatbot/src/Form/ChatForm.php::submitForm()` by `catch (\Exception)`), so the chatbot returns no usable answer and no content is created.
#### **JSON Schema actually generated for the tool (abridged)**
```
entity_array : array
items : array ◄── extra level
items : object
field_name : string
field_values : array
items : array ◄── extra level
items : object
value_name : string
values : array
items : array ◄── extra level
items : string
```
`execute()` actually expects:
```
entity_array : array
items : object { field_name:string, field_values: array< object{ value_name:string, values: array<string> } > }
```
---
### **Steps to reproduce**
#### **A. Deterministic, no LLM (proof of the schema × execute mismatch)**
`ddev drush php:script <file>` with:
```
<?php
$switcher = \Drupal::service('account_switcher');
$switcher->switchTo(\Drupal::entityTypeManager()->getStorage('user')->load(1));
$m = \Drupal::service('plugin.manager.ai.function_calls');
function run($label, array $entity_array) {
$tool = \Drupal::service('plugin.manager.ai.function_calls')
->createInstance('ai_agent:content_entity_seeder');
$tool->setContextValue('entity_type', 'node');
$tool->setContextValue('bundle', 'article');
$tool->setContextValue('label', "Seeder shape test $label");
$tool->setContextValue('entity_array', $entity_array);
try { $tool->execute(); print "[$label] OK -> " . $tool->getReadableOutput() . "\n"; }
catch (\Throwable $e) { print "[$label] " . get_class($e) . ': ' . $e->getMessage() . "\n"; }
}
// (1) the shape execute() consumes:
run('FLAT', [
['field_name' => 'field_body', 'field_values' => [
['value_name' => 'value', 'values' => ['<p>Flat.</p>']],
['value_name' => 'format', 'values' => ['basic_html']],
]],
]);
// (2) the shape the JSON Schema advertises (one extra array at every level):
run('SCHEMA-SHAPED', [
[
['field_name' => 'field_body', 'field_values' => [
[
['value_name' => 'value', 'values' => [['<p>Nested.</p>']]],
['value_name' => 'format', 'values' => [['basic_html']]],
],
]],
],
]);
$switcher->switchBack();
```
Output obtained:
```
[FLAT] OK -> Entity of type node created with id: 14 View link: /node/14 Edit link: /node/14/edit
[warning] Undefined array key "field_name" ContentEntitySeeder.php:158
[warning] Undefined array key "field_values" ContentEntitySeeder.php:160
[warning] foreach() argument must be of type array|object, null given ContentEntitySeeder.php:160
[SCHEMA-SHAPED] InvalidArgumentException: Field is unknown.
```
#### **B. Through the chatbot UI (real user flow)**
1. Have an orchestration `ai_agent` with the `ai_agent:content_entity_seeder` tool enabled, wired to an `ai_assistant` + chatbot block (here: assistant `content_manager`, block `olivero_aichatbot_manager`).
2. Log in as a user who can run the assistant **and** has `create article content` (here: user `chatbot_tester`, role `content_editor`).
3. Open a page carrying the chatbot (e.g. `/node/5`) and send: _"Create a new unpublished article titled "Bug repro article" with body "\<p\>Reproducing the seeder bug.\</p\>". Do it now."_
4. Reply **confirm** when the assistant asks for confirmation.
Result: no node is created; three PHP `Warning`s are written to _Reports → Recent log messages_, all pointing at `ContentEntitySeeder.php` lines 158/160; the assistant's reply bubble **spins forever** (the streamed response is interrupted by the exception) or comes back empty.
---
### **Expected behavior**
* The JSON Schema advertised for the `entity_array` parameter (and for `field_values` / `values`) must match what `ContentEntitySeeder::execute()` consumes: a **flat** list of objects `{ field_name, field_values:[ { value_name, values:[…] } ] }`.
* A tool call that is well-formed per the schema creates/edits the entity and the assistant replies with the `/node/<id>` link.
### **Actual behavior**
* The schema has one extra array level at every point that combines `multiple: TRUE` with `SimpleToolItems` / `ComplexToolItems`.
* A call that follows the schema → `Warning: Undefined array key "field_name"` + `Warning: Undefined array key "field_values"` + `Warning: foreach() argument must be of type array|object, null given` (`ContentEntitySeeder.php:158` and `:160`) → `$entity->set('', …)` → `InvalidArgumentException: Field is unknown.`
* The exception is caught in `ChatForm::submitForm()`; for the end user the chatbot **does not create the content and gives no usable answer**. Search and publish/unpublish through the same assistant keep working.
### **Backtrace (from the Drupal log)**
```
Warning: Undefined array key "field_name" in
Drupal\ai_agents\Plugin\AiFunctionCall\ContentEntitySeeder->execute()
(line 158 of .../ai_agents/src/Plugin/AiFunctionCall/ContentEntitySeeder.php)
#2 ContentEntitySeeder->execute()
#3 Drupal\ai_agents\PluginBase\AiAgentEntityWrapper->executeTool() (line 1606)
#4 Drupal\ai_agents\PluginBase\AiAgentEntityWrapper->determineSolvability() (line 556)
#5 Drupal\ai_assistant_api\Service\AgentRunner->runAsAgent() (line 124)
#6 Drupal\ai_assistant_api\AiAssistantApiRunner->process() (line 329)
#7 Drupal\ai_chatbot\Form\ChatForm->submitForm() (line 171)
```
---
### **Evidence (screenshots)**
| **File** | **What it shows** |
|----------|-------------------|
| {width="225" height="600"} | "Content Manager" chatbot: create request → asks for confirmation → after `confirm` the reply stays stuck loading. No node created. |
| {width="822" height="600"} | _Reports → Recent log messages_: three PHP `Warning`s (`foreach()…null`, `Undefined array key "field_values"`, `Undefined array key "field_name"`) logged by user `chatbot_tester` in the same minute as the conversation. |
| {width="365" height="600"} | Log event detail: `Undefined array key "field_name"` in `ContentEntitySeeder->execute()` line 158, `Location: /node/5`, with the full backtrace up to `ChatForm->submitForm()`. |
issue
GitLab AI Context
Project: project/ai
Instance: https://git.drupalcode.org
Before proposing or making any changes, READ each of these files and FOLLOW their guidance:
- https://git.drupalcode.org/project/ai/-/raw/1.x/README.md — project overview and setup
Repository: https://git.drupalcode.org/project/ai
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- GitLab CLI (glab): create branches and open merge requests from the terminal. https://gitlab.com/api/v4/projects/34675721/repository/files/README.md/raw?ref=HEAD