When was the last time you learn something from your LLM logs ? Here is the solution : phospho

#llm #analytics #opensource #ai

TL;DR: phospho is an open-source text analytics for LLM Apps. It helps companies turn their LLM prototype into a product with testing, evaluation, monitoring and guardrails at the semantic level.

Building LLM apps has never been easier. There are TONS of tools. Yet, companies that ship to production are scarce. And lots of AI tools that have made it to production have either HIGH churn rate or, LOW usage rate. Why ?

Unfortunately, many AI builders (I was one of them) are trapped at ground zero:

They don’t know what to improve in their products, because there is so many ways to improve (and many yet to come!)
To make decisions, they either have KPIs irrelevant to their use case or just gut feeling from everyone, but their users
Who are the users, what they do, or what they say, is usually a big unknown.

No wonder they feel stuck. Their best chance at improving is either guesswork or reading through thousands of logs & messages. It is like looking for a needle in a haystack.

There is no secret. Here is what the best companies shipping LLM products do that others don’t:

They release often, and fast… because they have a clear set of custom metrics that act as a simple “green light/red light”
They improve on precise product issues… because they understand in great detail who use their products and why
They act on feedback quickly… because they listen to it every day in their Slack channels or via mail and get alerted when something is going wrong

🧪 This is the purpose of phospho. phospho is an open-source text analytics tool for LLM apps.

It gathers all the tools that enable your team to go from prototype to product at record pace: testing, evaluation, monitoring at the semantic level. Let’s deep dive:

Build and Test

Define your own textual event detection pipeline
Set up webhooks and enforce guardrails
Assess the quality before releasing with personalized evals, continuously A/B test

Understand and Analyze

Detect usage patterns, categorize interactions by type, topics, intents, and more
Evaluate app response quality
Run tests at scale and in real-time

Improve and Take Action

Trigger workflows, escalations, and alerts based on detected events or evaluations
Dive deeper into the data; get consolidated reports through the platform or via the API
Break down the analysis by users or sessions