Lytix

TL;DR: Lytix is one control panel to observe, manage and optimize your E2E LLM stack. From early model experimentation to guardrails and specific evaluations, lytix helps teams at any stage save money, move faster, and minimize tech debt.

⚠️ The Problem

1. You want to use and experiment with multiple models, but setting up interfaces per provider/model is painful and slows you down.
2. As your product gets more specific, tracking performance becomes more challenging as off-the-shelf metrics lack the domain context to evaluate the unique attributes you care about.
3. You want to protect your inference calls against known failures, but finding + integrating the right guardrails for your use case is time-consuming and confusing.
4. Simple logging is great, but it gets hard to interpret and find bugs quickly, especially if you have multiple LLM tasks all being logged in a single place.

⚡ Our Solution

Lytix helps teams of all sizes build faster, save money, and minimize tech debt.

Single Gateway For All Models & Providers.

1. Integrate seamlessly with your existing stack to quickly get started.
2. Instantly gain access to 25+ models; switching between models becomes a 1-line change.
3. Our code is open-source, so you can always add more providers and models that are specific to you.

Guardrails & Alerts

1. An intuitive and flexible framework for adding SOTA guardrails to your inference calls, and set up real-time fallback logic
2. Configure alerts in seconds, to instantly get alerted when guardrails fail

Build Specific Evaluations

1. Easily build new eval metrics bespoke to your product, factoring specific domain knowledge and context.
2. Track how your specific evals perform over time, and easily find anomalous sessions or problematic users.
3. Move beyond ‘feelings’, and start to quantify your results as you experiment with different configurations, model combinations and prompts.

Grouping LLM events by task

1. Instead of a single stream of logs, lytix divides your logs by the task they belong to.
2. Debug errors faster by viewing them in the right context.
3. Cut critical metrics (like cost, latency, error rates) by task, to answer questions like ‘what is our most expensive task?’ or “which tasks are failing the most?”

Product + LLM Insights

• Identify themes and patterns in your LLM interactions
• Export that LLM events, with evals, to product analytic tools (such as Posthog) to combine product and LLM metrics into a single insight (i.e., cut conversation length by prompt).

And much more…

• Bring your own cache: own your data and save money on requests by hosting your own cache
• Playground to test new or existing events against 25+ models
• Cost + Token usage tracking
• Datasets to collect events for fine-tuning

🪩 The Team

We’ve both worked in the tech, and have known each other since high school.

Sahil worked as a product manager at Intuit, working on teams all over the world. For QuickBooks international, he launched localized sales tax and “send invoice via WhatsApp” increasing 91d retention, subscription rates, and invoice sends for emerging markets. He also worked on complex machine learning systems, working on matchmaking models for QuickBooks Live.

Sid worked at a verity of startups after college working on a breath of tasks from cybersecurity to infrastructure and devops. He was cited as an author on a state of the art cryptography white-paper and has helped teams containerize and migrate infrastructure while maintaining 50,000+ active users.

We are builders at heart and believe that lytix is the future of how to build and scale LLM products.

🚀 Lytix can be used today!

• Free to start and use up to 100k messages.
• We love learning about problems, if you have any in the LLM space we’d love to be helpful and chat!
• Check out our open-source work and get 24/7 support on our Discord
• Follow our socials on LinkedIn and X