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phospho

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Have phospho work in preview without using OpenAI

Using a custom LLM provider

phospho is the open source text analytics platform for LLM apps

Welcome to phospho!

Clusterize your text messages in 5 minutes. No code required.

Getting started

You can upload your data to phospho by importing a CSV file or an Excel file

Import a CSV or Excel file

Log text messages to phospho in real time

Setup logging in your app

Import from Langsmith 🦜🔗

Import from Langfuse 🪢

Self-hosting

Use the Phospho CLI to interact with the Phospho API

Command Line Interface

Run AB tests in your app to see which version performs better

AB Testing

Events are the key to getting insights from your data in phospho

Event detection

phospho automatically tags your data and warns you when needed

Automatic tagging

Group users messages based on their intention

Clustering

Group tasks together into sessions and attach them to users.

Sessions and Users

Language Detection

Sentiment Analysis

How to send the user feedback from your app to phospho?

User Feedback

Usage-based billing

Log to phospho with Python

Run custom analytics jobs in Python on your phospho logs

Analyze your logs in Python

Test your agent before deploying it to production

Testing with Python

Log to phospho with Javascript

Add AI analytics to your Langchain agent with phospho

Log to phospho in Python Langchain

Add AI analytics to your Supabase chatbot with phospho

Log to phospho in a Supabase app with a webhook

Export your data to Argilla

Export your data to a PostgreSQL database

Export your data to PostgreSQL

Export your data to create a PowerBI report

Export your data to PowerBI

Open Source Text Analytics Platform for LLM apps

Welcome!

Discover how to run analytics on your LLM app data in 5 minutes

Run analytics on your LLM app data

Learn how to setup LLM as a judge on the phospho platform

LLM as a Judge

Cluster User Intentions

Learn how to visualize, clusterize, and more.

Understand your data

You can generate a dataset from your project and export it to Argilla in one click.

Export a dataset to Argilla

Start logging your fist text message using phospho API

Log messages

Evaluate new system prompt on historical data

Backtesting

Run event detection

Easily query analytics from your phospho project

Query your analytics

Implement logging and discover phospho with those examples

Phospho examples

Generate specific embeddings with phospho

Getting Started

Analytics

Connectors

Integrations

Models API

Using a custom LLM provider