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Keywords AI

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The AI gateway with built-in observability for LLM applications.

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TL;DR - Keywords AI

  • Unified platform for building, testing, and monitoring LLM applications.
  • Integrates with existing codebases using an OpenAI-compatible API.
  • Provides tools for debugging, performance analysis, and model optimization.
Pricing: Free plan available
Best for: Growing teams
4.2/5 across review platforms

Pros & Cons

Pros

  • Simplifies LLM integration with a unified API
  • Enables easy A/B testing of prompts and models
  • Provides comprehensive observability for LLM requests
  • Designed for scalability and high concurrency
  • Facilitates data collection for model fine-tuning

Cons

  • Specific pricing details are not immediately available on the homepage
  • May require some initial setup to integrate with existing LLM applications

Ratings Across the Web

4.2(103 reviews)

Ratings aggregated from independent review platforms. Learn more

Key Features

Unified API endpoint for multiple LLMsBuilt-in infrastructure for LLM applicationsPlayground and prompt management for testingA/B testing for prompts and modelsPre-built dashboards for LLM metrics and request logsProduction performance monitoring with auto-evaluationsToolkit for collecting datasets from productionOpenAI compatible integration

Pricing Plans

Free Trial

Free

$0

  • 2k logs free
  • 2 seats
  • Community support
  • 2 prompts
  • 1 team
  • 100 users
  • 42 logs / min
  • 7 days data retention
  • G Suite SSO

Pro

$7/user per month

  • Everything in Free
  • 10k logs free
  • 5 prompts
  • Unlimited seats
  • 1k user analytics
  • 5 prompts
  • 1 team
  • 1k users
  • 412 logs / min
  • 30 days data retention
  • G Suite SSO

Team

$42/user per month

  • Everything in Pro
  • 100k logs free
  • Unlimited prompts
  • Custom evaluations
  • Role-based access
  • Private Slack support
  • Unlimited prompts
  • 5 teams
  • Unlimited users
  • 4,200 logs / min
  • 90 days data retention
  • G Suite SSO

Enterprise

Custom

  • Everything in Team
  • Unlimited logs
  • Volume discount
  • HIPAA & SOC-2 compliance
  • On-prem deployment
  • Uptime SLA
  • Founders 24/7 support
  • Unlimited prompts
  • Unlimited teams
  • Unlimited users
  • Unlimited logs / min
  • Unlimited data retention
  • G Suite + SAML SSO
  • Admin roles
  • Audit logs

What is Keywords AI?

Editorial review
Keywords AI is an LLM monitoring platform designed for AI startups and developers. It provides a unified developer platform for building, testing, monitoring, analyzing, and optimizing large language model (LLM) applications. The platform allows users to route, trace, evaluate, and debug every LLM request with minimal code changes, offering a single interface for various LLMs and bypassing rate limits for scalable operations. This tool is ideal for developers and teams working on LLM-powered products, from initial MVP to full production. It streamlines the LLM development lifecycle by offering features like a unified API endpoint, prompt management with A/B testing, pre-built dashboards for monitoring LLM metrics, and tools for collecting datasets to fine-tune models. Keywords AI aims to simplify the complexities of LLM infrastructure and observability, enabling faster development and better performance optimization.

Reviews

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Keywords AI FAQ

How does Keywords AI handle rate limits and concurrency for LLM calls?

Keywords AI is built for scaling, allowing users to bypass rate limits and make hundreds of concurrent calls without impacting latency. This is achieved through its built-in infrastructure designed to manage high-volume LLM requests efficiently.

What kind of A/B testing capabilities does Keywords AI offer for LLM applications?

The platform includes a playground and prompt management system that allows users to run A/B tests effortlessly from the UI. This enables direct comparison and improvement of prompts and models based on performance metrics.

Can Keywords AI help with fine-tuning custom LLMs based on production data?

Yes, Keywords AI provides a powerful toolkit specifically for collecting datasets from production environments. This data can then be used to fine-tune models, optimizing their performance and improving user experiences.

What is the integration process like for existing LLM applications, particularly those using OpenAI's API?

Keywords AI offers a dead simple integration that is OpenAI compatible. It requires literally two lines of code change and fits right into existing codebases, allowing users to switch models without rewriting extensive code. SDKs are available for Python and JavaScript.

Beyond basic logging, what specific metrics can developers monitor using Keywords AI's dashboards?

Keywords AI provides beautiful pre-built dashboards to monitor every LLM metric and request log. This includes production performance monitoring with auto-evaluations, designed to help improve user experiences by visualizing key performance indicators of LLM interactions.