Self-improving LLM Applications

AI that optimizes LLM applications by tuning prompts and models

AI-powered LLMOps for developers

From development to production across data management, evals & fine-tuning.

Manage LLM Data

Log all your LLM calls to compare and find the best prompts, store feedback, collect latency & usage metrics. Perform analytics & compliance monitoring of LLM apps

Evaluate

Integrate Log10's GitHub app into your CI/CD workflow to continuously monitor the health of your LLM apps. Get notified when anomalies are detected. Option to run locally via cli

Optimize

Optimize your LLM app via a rich debugger, automatic evaluations, and AI-powered tuning of prompts and models

Integrate Log10 with a single line of code

Easy programmatic integration

Just call log10(openai) and use the OpenAI client library as before

openai.py
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 from log10.load import log10 import openai log10(openai) completion = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=[ { "role": "system", "content": "You are the most knowledgable Star Wars guru on the planet" }, { "role": "user", "content": "Write the time period of all the Star Wars movies and spinoffs?" } ] )

Monitor via web dashboard

Debug, compare and improve prompts & models

Stats
Get latency, cost & stats for each request
Feedback
Collect feedback for model fine-tuning
Organize
with full text search, tags and filters
Sessions & Color highlighting
Color highlighting for Chains
Create playgrounds from logs
experiment with new prompts and models
Product screenshot

Accelerate generative AI development,
with faster time to market.

Build LLM-powered apps 10x faster and more reliably with Log10

Meet the founders

We're passionate about AI and are committed to its safe, reliable & productive use

  • Arjun Bansal

    Arjun Bansal

    CEO & Co-founder

    Arjun's career spans research in brain-machine interfaces, building AI processors and AI sidekicks. He previously co-founded Nervana Systems (acq. Intel for $408M) and XOKind (an AI travel agent startup). He was a VP for AI Software & Research at Intel where he launched and led several open source AI projects and enterprise engagements.

  • Niklas Nielsen

    Niklas Nielsen

    CTO & Co-founder

    Nik was most recently Head of Product at MosaicML (acq. Databricks for $1.3B). Prior to that he worked at Intel and Mesosphere on building Distributed Systems, and at Adobe on the Virtual Machines and Compilers team. He co-founded CustomerDB, a startup applying AI to product management.

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