Langtrace AI is an innovative open-source observability tool designed to revolutionize the way you monitor, evaluate, and improve your Large Language Model (LLM) applications. With its comprehensive suite of features, Langtrace ensures that you have end-to-end visibility into your ML pipelines, advanced security measures, and seamless integration capabilities, allowing you to optimize performance and build with confidence.

One of the standout features of Langtrace AI is its advanced security framework. The platform is SOC 2 Type II certified, guaranteeing the highest level of protection for your data. This certification is a testament to Langtrace's commitment to safeguarding your sensitive information, ensuring that you can operate with peace of mind.

Setting up Langtrace is a breeze, thanks to its simple, non-intrusive setup process. With just two lines of code, you can access the Langtrace SDK and begin leveraging its powerful capabilities. This ease of integration makes Langtrace an ideal choice for developers looking to enhance their LLM applications without significant overhead.

Langtrace supports a wide array of popular LLMs, frameworks, and vector databases, ensuring compatibility and flexibility. Moreover, it adheres to the OpenTelemetry standard for traces, allowing you to ingest data into any observability tool of your choice. This eliminates vendor lock-in and provides you with the freedom to choose the best tools for your specific needs.

End-to-end observability is a core strength of Langtrace AI. It provides comprehensive visibility into your entire ML pipeline, whether you're working with a Retrieval-Augmented Generation (RAG) model or a fine-tuned model. This level of insight enables you to detect and address issues quickly, ensuring optimal performance.

Langtrace also facilitates the establishment of a feedback loop, allowing you to annotate and create golden datasets from traced LLM interactions. These datasets can be used to continuously test and enhance your AI applications. Langtrace includes built-in heuristic, statistical, and model-based evaluations to support this process, ensuring that your applications are always improving.

The platform offers a range of tools to help you build and deploy with confidence. The Trace feature allows you to track requests, detect bottlenecks, and optimize performance. The Annotate feature enables you to manually evaluate LLM requests and create golden datasets. The Evaluate feature runs LLM-based automated evaluations to track performance over time. The Playground feature lets you compare the performance of your prompts across different models, while the Metrics feature helps you track cost and latency at various levels.

Langtrace AI is built by a world-class team of experts, ensuring that you have access to cutting-edge technology and support. By joining the Langtrace community, you can benefit from a wealth of knowledge and resources, helping you to stay at the forefront of LLM application development.

In summary, Langtrace AI is a powerful, secure, and flexible observability tool that empowers you to monitor, evaluate, and improve your LLM applications with ease. With its advanced features, comprehensive security measures, and user-friendly setup, Langtrace is the ideal choice for developers looking to enhance their AI applications and build with confidence.

Langtrace AI

LangWatch is an innovative and comprehensive platform that empowers you to enhance and optimize your current LLM pipelines while minimizing risks such as jailbreaking, sensitive data leaks, and hallucinations. With LangWatch, you can build AI solutions with utmost quality, confidence, and safety.

Integrating seamlessly with your preferred LLM technology, LangWatch offers an all-in-one solution that revolutionizes the way you create AI. It addresses common AI issues and ensures robust safeguards to prevent jailbreaking, exposure of sensitive data, and off-topic conversations. With LangWatch, you can enjoy peace of mind knowing that your AI solutions are secured and protected.

One of the key features of LangWatch is its ability to provide detailed analysis and continuous improvement for your AI solutions. By tracking conversion rates, output quality, user feedback, and knowledge base gaps, LangWatch offers real-time metrics and constant insights. This enables you to make informed decisions and iterate on your AI models for ongoing enhancement.

LangWatch also offers intelligent evaluation capabilities that enable you to evaluate new models and prompts, develop datasets for testing, and run experimental simulations on tailored builds. This empowers you to refine and optimize your AI solutions based on data-driven insights, leading to better performance and results.

Don't just take our word for it - LangWatch has been trusted by numerous satisfied customers who have experienced the benefits firsthand. Our customers have witnessed the positive impact of LangWatch in terms of improving their AI pipelines, enhancing safety measures, and achieving higher quality output.

When it comes to pricing, LangWatch offers a flexible plan that allows you to start with the pro plan and upgrade as you go. The pro plan includes premium onboarding and tech support, ensuring you have a smooth and hassle-free experience. Additionally, LangWatch provides 30-day messages retention, enabling you to review and analyze data from your AI solutions within a convenient timeframe.

We understand that security is a critical concern for AI solutions. That's why LangWatch is built on enterprise security foundations, ensuring that your data is protected and secure. LangWatch also complies with the General Data Protection Regulation (GDPR), assuring you that your data is processed securely and in compliance with relevant data protection laws. We are actively working towards ISO 27001 certification, further demonstrating our commitment to maintaining the highest standards of security.

If you have any questions or need more information, our dedicated support team is here to assist you. Contact us today to learn more about how LangWatch can revolutionize your AI solutions, enhance safety, and deliver outstanding results. Take your AI to new heights with LangWatch!

LangWatch

Evidently AI is an innovative open-source framework designed to evaluate, test, and monitor AI-powered applications, ensuring their performance and reliability across various stages of development and deployment. With over 100 built-in checks ranging from classification to Retrieval-Augmented Generation (RAG), Evidently AI provides comprehensive insights and monitoring capabilities both offline and in live environments. This versatile tool allows users to easily add custom metrics and Large Language Model (LLM) judges, enhancing its adaptability to specific needs.

Evidently AI

Keywords AI is a revolutionary platform that empowers AI startups to build better AI products with complete observability. With its unified developer platform, developers can seamlessly build, deploy, and scale their LLM applications with ease. Whether you're a beginner or an experienced developer, Keywords AI provides every feature you need to streamline your application development process.

One of the standout features of Keywords AI is its powerful LLM observability capabilities. Similar to Datadog, Keywords AI offers comprehensive monitoring and logging tools that allow you to visualize and log every user session. With beautiful pre-built dashboards, you can monitor every LLM metric and request log, providing you with valuable insights to optimize your app's performance.

Built specifically for developers, Keywords AI offers a unified interface for any model, saving you hours of building custom API clients. Say goodbye to rate limits and latency issues, as Keywords AI allows you to make hundreds of concurrent calls without any impact on performance. Its dead simple integration with OpenAI requires just two lines of code change, making it effortless to integrate into your existing codebase.

Keywords AI understands the importance of scalability, and that's why it provides a one-stop DevOps platform for the entire LLM development lifecycle. From MVP to production, you can rely on Keywords AI to handle the complexities of scaling your application. With its built-in infrastructure and easy deployment process, you can focus on building a product that people love.

Testing and experimenting with models has never been easier with Keywords AI. Its playground and prompt management features allow you to run experiments effortlessly. You can conduct A/B tests from the intuitive UI and fine-tune your models to optimize their performance. Keywords AI also offers production performance monitoring with auto-evaluations, helping you improve user experiences and ensure the success of your AI application.

Collecting data for optimization is made simple with Keywords AI. Its powerful toolkit enables you to collect datasets from production seamlessly. This data-driven approach allows you to easily fine-tune your models and continuously improve their performance. Keywords AI empowers you to iterate, analyze, and optimize your AI products, giving you a competitive edge in the market.

Integrating Keywords AI into your workflow is a breeze. You can integrate within minutes with its easy OpenAI style API call. The platform fits right into your codebase, allowing you to switch without the hassle of rewriting code. With Keywords AI, you can start building better AI products today and receive $15 free credits to get you started.

Join the ranks of the world's best AI startups and experience the beautiful, lightweight, and powerful platform that is Keywords AI. Get started now and unlock the full potential of your LLM applications.

Keywords AI

Langtail is an LLMOps platform designed to accelerate the development of AI-powered apps and streamline the process of shipping them to production. With its robust features and intuitive interface, Langtail empowers teams to debug prompts, run tests, and monitor app performance in real-time, reducing surprises and ensuring smooth deployments.

One of the key features of Langtail is its Playground, which allows users to iterate at lightning speed. By fine-tuning prompts and settings, teams can optimize the performance of their language model in record time. With support for variables, tools (functions), vision, and more built right in, Langtail provides advanced features to enhance the development workflow.

With the Instant Feedback Loop feature, users can instantly see how prompt changes affect their AI's output. This allows for quick iteration and refinement, eliminating the need for time-consuming manual testing. In addition, Langtail offers Version History functionality, enabling users to roll back to previous prompt versions with ease, providing a safety net for prompt modifications.

Langtail's Testing capabilities are designed to prevent surprises during the development process. Users can run tests on different prompt versions to identify the top-performing one. This benchmarking feature empowers teams to make data-driven decisions when selecting prompt variations. Furthermore, Langtail helps ensure app stability when upgrading models by leveraging a comprehensive test suite, providing confidence and peace of mind during the deployment process.

The Deployment functionality in Langtail is geared towards streamlining the process of deploying prompts. By publishing prompts as API endpoints, users can make changes without redeploying the entire application. This allows for faster iteration and fits seamlessly into the development workflow. Langtail also enables decoupling of prompt development from app development, allowing teams to work more independently and efficiently.

Monitoring app performance is crucial, and Langtail provides comprehensive features to achieve this. The Monitor Production feature captures detailed API logging, including performance data, token count, and LLM costs for every API call. The built-in Metrics Dashboard provides visibility into aggregated prompt performance metrics, such as request count, cost, and latency. With Problem Detection capabilities, users can identify and address issues by monitoring user interactions with their app in production, ensuring a smooth user experience.

The testimonials from engineering and AI teams who have used Langtail speak volumes about its effectiveness. They commend Langtail for simplifying the development and testing of AI, saving time and effort. Users appreciate how Langtail eliminates the unpredictable behavior of language models and enables collaboration on prompts. Its user-friendly interface and robust evaluation capabilities make it an invaluable tool for building AI-powered apps with confidence.

Langtail also offers a No-code Playground, allowing non-technical users to write and run prompts without coding. Adjustable Parameters give users the flexibility to fine-tune the behavior of their language model by adjusting temperature, top_p, and other settings. Test Suites help prevent surprises by running tests on prompts, ensuring quality and reliability. Benchmark Variations functionality helps identify the best performing prompt versions, facilitating data-driven decision-making.

Seamless Deployment is facilitated by Langtail's ability to deploy prompts as API endpoints across environments. This allows for easy iteration and alignment with the team's shipping process. Langtail's Detailed Logging feature captures essential performance data, token count, and LLM costs for every API call, facilitating optimization and cost management. The Metrics Dashboard provides a centralized view of prompt performance, giving users insights into usage patterns and costs. Problem Detection capabilities empower teams to proactively identify and resolve issues in real-time.

With its collaborative workflow, Langtail streamlines team collaboration by enabling users to share prompts and work seamlessly together. This promotes efficiency and enhances productivity, allowing teams to deliver better results in less time.

Upgrade your AI development workflow with Langtail. It is the ultimate tool for debugging, testing, and observing LLM-powered apps. Give it a try for free and experience the benefits yourself. No credit card required. Get started now!

Langtrace AI

Related Categories - Langtrace AI

Observability Tool

Open-Source

Security

Performance Optimization

AI Application Development

Key Features of Langtrace AI

End-to-end Observability

Advanced Security

Simple Non-intrusive Setup

Open-Source & Secure

Establish a Feedback Loop

Target Users of Langtrace AI

Software Developers

DevOps Engineers

Data Scientists

AI Researchers

Target User Scenes of Langtrace AI

As a Software Developer, I want to easily integrate Langtrace SDK into my LLM app so that I can monitor and optimize its performance with minimal effort

As a DevOps Engineer, I need to ensure the security of my LLM app data, so I require Langtrace's SOC 2 Type II certified platform to protect my information

As a Data Scientist, I want to establish a feedback loop using Langtrace's capabilities to continuously test and enhance my AI applications for better performance

As an AI Researcher, I need Langtrace's support for open-source and OpenTelemetry standards to avoid vendor lock-in and maintain flexibility in my research projects.

Langtrace AI Alternatives

Langtrace AI

Observability Tool

LangWatch

AI Quality Control

Evidently AI

AI Observability

Keywords AI

LLM platform

Langtail Public Beta

LLMOps platform