dij-digital/langfuse-php

A langfuse wrapper for PHP

v0.2.0 2026-02-19 09:43 UTC

Requires

• php: ^8.3|^8.4
• guzzlehttp/guzzle: ^7.9

Requires (Dev)

• laravel/pint: ^1.22.1
• peckphp/peck: ^0.1.3
• pestphp/pest: ^3.8.0
• pestphp/pest-plugin-type-coverage: ^3.5.0
• phpstan/phpstan: ^2.1.16
• rector/rector: ^2.0.16
• symfony/var-dumper: ^7.2.6

MIT

• Tycho Engberink

• php
• langfuse

README

This package provides a wrapper around the Langfuse API, allowing you to easily integrate Langfuse into your PHP applications. It uses as few dependencies as possible.

This package supports the following features:

Prompts

• Get text prompts
• Get chat prompts
• Compile text prompts
• Compile chat prompts
• Create text prompts
• Create chat prompts
• List prompts (auto-paginated)
• Update prompt labels
• Fallback handling for prompt fetching errors
• Fallback handling when no prompt is found

Ingestion

• Create and update traces
• Create and update spans (with nesting)
• Create and update generations
• Automatic traceId and parentObservationId threading
• Sends directly to the Langfuse v2 ingestion API

Scores

• Create scores
• Get scores
• List scores
• Delete scores
• V2 API support for scores

Requires PHP 8.3 or PHP 8.4

Install the package using Composer:

composer require dij-digital/langfuse-php

How to use this package

Setup

use DIJ\Langfuse\PHP\Langfuse;
use DIJ\Langfuse\PHP\Transporters\HttpTransporter;
use GuzzleHttp\Client;

$langfuse = new Langfuse(
    transporter: new HttpTransporter(new Client([
        'base_uri' => 'https://cloud.langfuse.com',
        'auth' => ['PUBLIC_KEY', 'SECRET_KEY'],
    ])),
    environment: 'production', // optional, defaults to 'default'
);

Prompts

// Get and compile prompts
$langfuse->prompt()->text(promptName: 'promptName')->compile(params: ['key' => 'value']);
$langfuse->prompt()->chat(promptName: 'chatName')->compile(params: ['key' => 'value']);

// List all prompts (returns a Generator that auto-paginates)
foreach ($langfuse->prompt()->list() as $prompt) {
    echo $prompt->name;
}

// Create a prompt
$langfuse->prompt()->create(promptName: 'promptName', prompt: 'text', type: PromptType::TEXT);

// Update prompt labels
$langfuse->prompt()->update(promptName: 'promptName', version: 1, labels: ['production']);

Ingestion

Every call to trace(), span(), or generation() immediately sends a request to the Langfuse ingestion API. No buffering, no flushing required.

$ingestion = $langfuse->ingestion();

Trace

A trace is the root of an observation tree.

$trace = $ingestion->trace(
    name: 'my-workflow',
    userId: 'user-456',
    input: 'user question',
);

// Update the trace (sends immediately)
$trace->update(
    output: 'final answer',
    metadata: ['duration_ms' => 1234],
);

Span

Spans group related work within a trace. Create them from a Trace or another Span -- traceId and parentObservationId are set automatically.

// Create a span from the trace
$span = $trace->span(name: 'web-search-batch');

// Nest a child span under the parent span
$childSpan = $span->span(name: 'single-search');

// Update spans when work is done
$childSpan->update(output: ['results' => 3], endTime: date('c'));
$span->update(output: ['total' => 3], endTime: date('c'));

Generation

Generations represent LLM calls. Create them from a Trace or Span -- context IDs are threaded automatically.

// Generation on a trace
$gen = $trace->generation(
    input: ['messages' => [['role' => 'user', 'content' => 'Hello']]],
    output: 'Hi there!',
    name: 'llm-call',
    model: 'gpt-4o',
    modelParameters: ['temperature' => 0.7],
    promptName: 'my-prompt',
    promptVersion: 1,
);

// Generation nested under a span
$gen = $span->generation(
    input: 'summarize this',
    output: 'summary text',
    name: 'summarize-call',
    model: 'gpt-4o',
);

// Update a generation after the LLM responds
$gen->update(
    output: 'updated response',
    metadata: ['tokens' => 150],
);

Full example

$ingestion = $langfuse->ingestion();

$trace = $ingestion->trace(
    name: 'handle-request',
    userId: 'user-789',
    input: 'What is the weather?',
);

$span = $trace->span(name: 'search-batch');

    $child = $span->span(name: 'weather-api-call');
    $child->update(output: ['temp' => 22], endTime: date('c'));

    $span->generation(
        input: 'Summarize weather data',
        output: 'It is 22 degrees and sunny.',
        name: 'summarize',
        model: 'gpt-4o',
    );

$span->update(output: ['answer' => 'It is 22 degrees.'], endTime: date('c'));
$trace->update(output: 'It is 22 degrees and sunny.');

Scores

use DIJ\Langfuse\PHP;
use DIJ\Langfuse\PHP\Enums\ScoreDataType;

// Create a score
$score = $langfuse->score()->create(
    traceId: 'trace-id-123',
    name: 'accuracy',
    value: 0.95,
    dataType: ScoreDataType::NUMERIC,
    comment: 'High accuracy score'
);

// Get a specific score (using v2 API)
$score = $langfuse->score()->get('score-id-123');

// List scores with filters (using v2 API)
$scores = $langfuse->score()->list(
    traceId: 'trace-id-123',
    dataType: ScoreDataType::NUMERIC,
    limit: 10
);

// Delete a score
$langfuse->score()->delete('score-id-123');

Architecture

Langfuse(transporter, environment?)
├── prompt()                → Prompt
│                                 ├── text()     → TextPromptResponse|FallbackPrompt
│                                 ├── chat()     → ChatPromptResponse|FallbackPrompt
│                                 ├── list()     → Generator<PromptListItem>
│                                 ├── create()   → TextPromptResponse|ChatPromptResponse
│                                 └── update()   → TextPromptResponse|ChatPromptResponse
├── ingestion()             → Ingestion
│                             ├── trace()      → Trace
│                             │                   ├── update()
│                             │                   ├── span()       → Span
│                             │                   └── generation() → Generation
│                             ├── span()       → Span
│                             │                   ├── update()
│                             │                   ├── span()       → Span
│                             │                   └── generation() → Generation
│                             └── generation() → Generation
│                                                 └── update()
└── score()                 → Score
                              ├── create()
                              ├── get()
                              ├── list()
                              └── delete()

Each trace(), span(), generation(), and update() call sends a request to the Langfuse POST /api/public/ingestion endpoint immediately. Langfuse PHP was created by Tycho Engberink and is maintained by DIJ Digital under the MIT license.