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PHP SDK
Use Nemo Router with openai-php/client
Last updated
Nemo Router works with openai-php/client. Set the base URI to https://api.nemorouter.ai/v1 and pass your sk-nemo-... key — guardrails, caching, and rate-limits auto-apply from your org config.
Installation
composer require openai-php/clientSetup
<?php
require 'vendor/autoload.php';
$client = OpenAI::factory()
->withApiKey(getenv('NEMOROUTER_API_KEY'))
->withBaseUri('https://api.nemorouter.ai/v1')
->make();Chat Completion
<?php
$response = $client->chat()->create([
'model' => 'claude-sonnet-4-20250514',
'messages' => [
['role' => 'user', 'content' => 'Hello!'],
],
]);
echo $response->choices[0]->message->content . "\n";Per-Request Overrides
openai-php/client forwards unknown keys, so nemo_* fields work inline:
<?php
// Apply only specific guardrails
$response = $client->chat()->create([
'model' => 'gpt-4o',
'messages' => [['role' => 'user', 'content' => 'Summarize Q1 earnings...']],
'nemo_guardrail_ids' => ['guardrail-uuid-1', 'guardrail-uuid-2'],
]);
// Run a prompt template with variables
$response = $client->chat()->create([
'model' => 'gpt-4o',
'messages' => [['role' => 'user', 'content' => 'Q1 revenue was $4.2M...']],
'nemo_prompt_template_id' => 'your-summarizer-id',
'nemo_prompt_variables' => ['language' => 'Spanish', 'max_length' => '100'],
]);
// Bypass cache for a single call
$response = $client->chat()->create([
'model' => 'gpt-4o',
'messages' => [['role' => 'user', 'content' => 'What is the latest news?']],
'nemo_cache' => false,
]);Error Handling
<?php
try {
$client->chat()->create([
'model' => 'gpt-4o',
'messages' => [['role' => 'user', 'content' => 'My SSN is 123-45-6789']],
]);
} catch (\Exception $e) {
// "guardrail_blocked" — guardrail rejected the request
// "insufficient_credits" — top up to continue
echo "Error: {$e->getMessage()}\n";
}Response Headers
Every successful response carries:
x-nemo-request-cost— exact USD spend for this callx-nemo-guardrails-applied— comma-separated guardrail names that ranx-nemo-prompt-version— version of the prompt template applied (if any)
Next Steps
- Python SDK — full deep-dive of all features
- cURL Examples — Inspect raw request/response shape
- Chat Completions API — Full API reference
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