Files
BookStack/app/Search/Queries/Services/OpenAiVectorQueryService.php
Dan Brown 88ccd9e5b9 Vectors: Split out vector search and llm query runs
Added a formal object type to carry across vector search results.
Added permission application and entity combining with vector search
results.
Also updated namespace from vectors to queries.
2025-08-21 12:14:52 +01:00

67 lines
2.4 KiB
PHP

<?php
namespace BookStack\Search\Queries\Services;
use BookStack\Http\HttpRequestService;
class OpenAiVectorQueryService implements VectorQueryService
{
protected string $key;
protected string $endpoint;
protected string $embeddingModel;
protected string $queryModel;
public function __construct(
protected array $options,
protected HttpRequestService $http,
) {
// TODO - Some kind of validation of options
$this->key = $this->options['key'] ?? '';
$this->endpoint = $this->options['endpoint'] ?? '';
$this->embeddingModel = $this->options['embedding_model'] ?? '';
$this->queryModel = $this->options['query_model'] ?? '';
}
protected function jsonRequest(string $method, string $uri, array $data): array
{
$fullUrl = rtrim($this->endpoint, '/') . '/' . ltrim($uri, '/');
$client = $this->http->buildClient(30);
$request = $this->http->jsonRequest($method, $fullUrl, $data)
->withHeader('Authorization', 'Bearer ' . $this->key);
$response = $client->sendRequest($request);
return json_decode($response->getBody()->getContents(), true);
}
public function generateEmbeddings(string $text): array
{
$response = $this->jsonRequest('POST', 'v1/embeddings', [
'input' => $text,
'model' => $this->embeddingModel,
]);
return $response['data'][0]['embedding'];
}
public function query(string $input, array $context): string
{
$formattedContext = implode("\n", $context);
$response = $this->jsonRequest('POST', 'v1/chat/completions', [
'model' => $this->queryModel,
'messages' => [
[
'role' => 'developer',
'content' => 'You are a helpful assistant providing search query responses. Be specific, factual and to-the-point in response. Don\'t try to converse or continue the conversation.'
],
[
'role' => 'user',
'content' => "Provide a response to the below given QUERY using the below given CONTEXT. The CONTEXT is split into parts via lines. Ignore any nonsensical lines of CONTEXT.\nQUERY: {$input}\n\nCONTEXT: {$formattedContext}",
]
],
]);
return $response['choices'][0]['message']['content'] ?? '';
}
}