Best AI tools for< Trace Llm Calls >

Symbl.ai is a real-time voice AI platform that enables businesses to extract insights from unstructured live calls. It offers a range of features, including real-time transcription, sentiment analysis, question detection, and topic tracking. Symbl.ai's platform is powered by Nebula, a proprietary LLM that is specialized in understanding human interactions in streaming mode. This allows Symbl.ai to provide accurate and low-latency insights that can be used to improve customer service, sales, and compliance.

Lucida AI is an AI-driven coaching tool designed to enhance employees' English language skills through personalized insights and feedback based on real-life call interactions. The tool offers comprehensive coaching in pronunciation, fluency, grammar, vocabulary, and tracking of language proficiency. It provides advanced speech analysis using proprietary LLM and NLP technologies, ensuring accurate assessments and detailed tracking. With end-to-end encryption for data privacy, Lucy AI is a cost-effective solution for organizations seeking to improve communication skills and streamline language assessment processes.

Langtrace AI is an open-source observability tool powered by Scale3 Labs that helps monitor, evaluate, and improve LLM (Large Language Model) applications. It collects and analyzes traces and metrics to provide insights into the ML pipeline, ensuring security through SOC 2 Type II certification. Langtrace supports popular LLMs, frameworks, and vector databases, offering end-to-end observability and the ability to build and deploy AI applications with confidence.

Lunary is an AI developer platform designed to bring AI applications to production. It offers a comprehensive set of tools to manage, improve, and protect LLM apps. With features like Logs, Metrics, Prompts, Evaluations, and Threads, Lunary empowers users to monitor and optimize their AI agents effectively. The platform supports tasks such as tracing errors, labeling data for fine-tuning, optimizing costs, running benchmarks, and testing open-source models. Lunary also facilitates collaboration with non-technical teammates through features like A/B testing, versioning, and clean source-code management.

RagaAI Catalyst is a sophisticated AI observability, monitoring, and evaluation platform designed to help users observe, evaluate, and debug AI agents at all stages of Agentic AI workflows. It offers features like visualizing trace data, instrumenting and monitoring tools and agents, enhancing AI performance, agentic testing, comprehensive trace logging, evaluation for each step of the agent, enterprise-grade experiment management, secure and reliable LLM outputs, finetuning with human feedback integration, defining custom evaluation logic, generating synthetic data, and optimizing LLM testing with speed and precision. The platform is trusted by AI leaders globally and provides a comprehensive suite of tools for AI developers and enterprises.

OpenLIT is an AI application designed as an Observability tool for GenAI and LLM applications. It empowers model understanding and data visualization through an interactive Learning Interpretability Tool. With OpenTelemetry-native support, it seamlessly integrates into projects, offering features like fine-tuning performance, real-time data streaming, low latency processing, and visualizing data insights. The tool simplifies monitoring with easy installation and light/dark mode options, connecting to popular observability platforms for data export. Committed to OpenTelemetry community standards, OpenLIT provides valuable insights to enhance application performance and reliability.

LightFeed is an automated news hub powered by LLM technology that allows users to track, filter, and summarize news from any public website. It offers automated daily updates that can be viewed in a browser, email, or RSS format. Users can create their own news hub with a 10-day free trial and no credit card required. LightFeed employs LLMs like GPT-3.5-turbo and Llama 3 to parse, filter, and summarize web pages into structured and readable feeds. The platform also supports customization of news feeds based on user preferences and provides options for automation and scheduling.

Notification Harbor is an email marketing platform that uses Large Language Models (LLMs) to help businesses create and send more effective email campaigns. With Notification Harbor, businesses can use LLMs to generate personalized email content, optimize subject lines, and even create entire email campaigns from scratch. Notification Harbor is designed to make email marketing easier and more effective for businesses of all sizes.

Goover is a personalized AI research agent that streamlines the process of acquiring knowledge by providing self-driving experiences. It offers users the ability to dive deeper into various topics through curated briefings, reports, and insights. Goover utilizes advanced AI technology to deliver tailored answers, identify key information, and facilitate meaningful discussions. Users can access knowledge anytime, anywhere through the mobile app, ensuring they stay informed and engaged with their passions. With Goover, users can track specific topics, receive automatic updates, and explore diverse perspectives effortlessly.

Kapa.ai is an AI-powered answer engine that transforms your knowledge base into a reliable and production-ready AI assistant. It provides instant and accurate answers to technical product questions, helping to improve documentation and enhance user experience. With over 40 technical source connectors, Kapa.ai optimizes your knowledge sources and deploys custom AI assistants across various platforms like Docs, Slack, Discord, API, and Zendesk. The platform is designed to provide grounded answers with citations, acknowledge limitations, synthesize information from multiple sources, and track usage with analytics. Kapa.ai is trusted by enterprises and startups to power production-ready AI assistants, reducing support hours and improving user experience.

Monitr is a data visualization and analytics platform that allows users to query, visualize, and share data in one place. It helps in tracking key metrics, making data-driven decisions, and breaking down data silos to provide a unified view of data from various sources. Users can create charts and dashboards, connect to different data sources like Postgresql and MySQL, and collaborate with teammates on SQL queries. Monitr's AI features are powered by Meta AI's Llama 3 LLM, enabling the development of powerful and flexible analytics tools for maximizing data utilization.

Neural Concept is an end-to-end platform for high-performance engineering teams, powered by a leading proprietary 3D AI core. It accelerates product development and innovation with industry-leading 3D deep-learning and simulation capabilities. The platform works with various CAE and CAD softwares, offering 3D visual feedback, collaborative environment, and LLM guidance to boost engineers' impact. Neural Concept is used by engineering companies to design and deliver better products faster, bringing AI-designed products to market up to 75% faster.

TimeToTok is an AI Copilot and Agent designed to assist TikTok creators in optimizing their content strategy for growth and engagement. By leveraging AI technology like GPT, TimeToTok analyzes millions of viral TikTok videos to provide personalized insights and recommendations. It helps creators identify the best time to post, generate viral ideas, optimize video quality, increase interaction with followers, track competitors, and access a comprehensive industry database. With a focus on data-driven methods and LLM AI technology, TimeToTok aims to simplify the process of achieving significant growth on TikTok.

Empy AI is a platform designed to detect and resolve team conflicts in real-time, aiming to improve emotional well-being and productivity within the workplace. It utilizes advanced technologies like LLM and Bert to analyze communication data and provide insights to prevent conflicts and burnout. Empy offers personalized advice, real-time analytics, and individual mental health reports to help managers make data-driven decisions for better team management.

chatQR.ai is an AI-powered ordering application that serves as a complete Point Of Sale/Kiosk replacement. It utilizes voice recognition technology combined with the latest Large Language Model (LLM) AI to create a seamless QR code ordering experience for customers. The system is designed to be AI-first, offering mature point of sale features and the ability to integrate the ChatQR Voice Assistant into existing systems. With support for multiple currencies and payment providers like Stripe and Square, chatQR.ai aims to revolutionize the way businesses manage orders and payments.

LexEdge is an AI-powered legal practice management solution that revolutionizes how legal professionals handle their responsibilities. It offers advanced features like case tracking, client communications, AI chatbot assistance, document automation, task management, and detailed reporting and analytics. LexEdge enhances productivity, accuracy, and client satisfaction by leveraging technologies such as AI, large language models (LLM), retrieval-augmented generation (RAG), fine-tuning, and custom model training. It caters to solo practitioners, small and large law firms, and corporate legal departments, providing tailored solutions to meet their unique needs.

LiteLLM is a platform that provides model access, logging, and usage tracking across various LLMs in the OpenAI format. It offers features such as control over model access, budget tracking, pass-through endpoints for migration, OpenAI-compatible API access, and a self-serve portal for key management. LiteLLM also offers different pricing tiers, including Open Source, Enterprise Basic, and Enterprise Premium, with various integrations and features tailored for different user needs.

Vectorizer.AI is an online tool that allows users to convert PNG and JPG images to SVG vectors quickly and easily using AI technology. The application offers fully automatic conversion, high performance, and a range of features such as full shape fitting, curve support, clean corners, and symmetry modeling. Vectorizer.AI supports various output formats including SVG, PDF, EPS, DXF, and PNG, and is designed to provide accurate and consistent results for a wide range of image types.

Retraced is a compliance platform designed for fashion and textile supply chains. It offers a comprehensive 360° solution to empower CSR teams in streamlining sustainability strategies, collaborating with suppliers in real-time, and meeting compliance requirements effectively. The platform enables digital connection with suppliers for efficient communication, traceability of products and materials, and fostering transparency for both internal and external stakeholders. Retraced aims to make the fashion industry more transparent and sustainable by providing innovative solutions for market leaders in the industry.

EchoMark is a cloud-based data leak prevention solution that uses invisible forensic watermarks to protect sensitive information from unauthorized access and exfiltration. It allows organizations to securely share and collaborate on documents and emails without compromising privacy and security. EchoMark's advanced investigation tools can trace the source of a leaked document or email, even if it has been shared via printout or photo.

AgentNeo is an advanced, open-source Agentic AI Application Observability, Monitoring, and Evaluation Framework designed to provide deep insights into AI agents, Large Language Model (LLM) calls, and tool interactions. It offers robust logging, visualization, and evaluation capabilities to help debug and optimize AI applications with ease. With features like tracing LLM calls, monitoring agents and tools, tracking interactions, detailed metrics collection, flexible data storage, simple instrumentation, interactive dashboard, project management, execution graph visualization, and evaluation tools, AgentNeo empowers users to build efficient, cost-effective, and high-quality AI-driven solutions.

AgentNeo is a Python package that provides functionalities for project, trace, dataset, experiment management. It allows users to authenticate, create projects, trace agents and LangGraph graphs, manage datasets, and run experiments with metrics. The tool aims to streamline AI project management and analysis by offering a comprehensive set of features.

OpenLLMetry-JS is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions - Datadog, Honeycomb, and others. It's built and maintained by Traceloop under the Apache 2.0 license. The repo contains standard OpenTelemetry instrumentations for LLM providers and Vector DBs, as well as a Traceloop SDK that makes it easy to get started with OpenLLMetry-JS, while still outputting standard OpenTelemetry data that can be connected to your observability stack. If you already have OpenTelemetry instrumented, you can just add any of our instrumentations directly.

Phoenix is a tool that provides MLOps and LLMOps insights at lightning speed with zero-config observability. It offers a notebook-first experience for monitoring models and LLM Applications by providing LLM Traces, LLM Evals, Embedding Analysis, RAG Analysis, and Structured Data Analysis. Users can trace through the execution of LLM Applications, evaluate generative models, explore embedding point-clouds, visualize generative application's search and retrieval process, and statistically analyze structured data. Phoenix is designed to help users troubleshoot problems related to retrieval, tool execution, relevance, toxicity, drift, and performance degradation.

RagaAI Catalyst is a comprehensive platform designed to enhance the management and optimization of LLM projects. It offers features such as project management, dataset management, evaluation management, trace management, prompt management, synthetic data generation, and guardrail management. These functionalities enable efficient evaluation and safeguarding of LLM applications.

BAML is a config file format for declaring LLM functions that you can then use in TypeScript or Python. With BAML you can Classify or Extract any structured data using Anthropic, OpenAI or local models (using Ollama) ## Resources  [Discord Community](https://discord.gg/boundaryml)  [Follow us on Twitter](https://twitter.com/boundaryml) * Discord Office Hours - Come ask us anything! We hold office hours most days (9am - 12pm PST). * Documentation - Learn BAML * Documentation - BAML Syntax Reference * Documentation - Prompt engineering tips * Boundary Studio - Observability and more #### Starter projects * BAML + NextJS 14 * BAML + FastAPI + Streaming ## Motivation Calling LLMs in your code is frustrating: * your code uses types everywhere: classes, enums, and arrays * but LLMs speak English, not types BAML makes calling LLMs easy by taking a type-first approach that lives fully in your codebase: 1. Define what your LLM output type is in a .baml file, with rich syntax to describe any field (even enum values) 2. Declare your prompt in the .baml config using those types 3. Add additional LLM config like retries or redundancy 4. Transpile the .baml files to a callable Python or TS function with a type-safe interface. (VSCode extension does this for you automatically). We were inspired by similar patterns for type safety: protobuf and OpenAPI for RPCs, Prisma and SQLAlchemy for databases. BAML guarantees type safety for LLMs and comes with tools to give you a great developer experience:  Jump to BAML code or how Flexible Parsing works without additional LLM calls. | BAML Tooling | Capabilities | | ----------------------------------------------------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- | | BAML Compiler install | Transpiles BAML code to a native Python / Typescript library (you only need it for development, never for releases) Works on Mac, Windows, Linux  | | VSCode Extension install | Syntax highlighting for BAML files Real-time prompt preview Testing UI | | Boundary Studio open (not open source) | Type-safe observability Labeling |

LLMClient is a JavaScript/TypeScript library that simplifies working with large language models (LLMs) by providing an easy-to-use interface for building and composing efficient prompts using prompt signatures. These signatures enable the automatic generation of typed prompts, allowing developers to leverage advanced capabilities like reasoning, function calling, RAG, ReAcT, and Chain of Thought. The library supports various LLMs and vector databases, making it a versatile tool for a wide range of applications.

Laminar is an all-in-one open-source platform designed for engineering AI products. It allows users to trace, evaluate, label, and analyze LLM data efficiently. The platform offers features such as automatic tracing of common AI frameworks and SDKs, local and online evaluations, simple UI for data labeling, dataset management, and scalability with gRPC communication. Laminar is built with a modern open-source stack including RabbitMQ, Postgres, Clickhouse, and Qdrant for semantic similarity search. It provides fast and beautiful dashboards for traces, evaluations, and labels, making it a comprehensive tool for AI product development.

Sophia is an open-source TypeScript platform designed for autonomous AI agents and LLM based workflows. It aims to automate processes, review code, assist with refactorings, and support various integrations. The platform offers features like advanced autonomous agents, reasoning/planning inspired by Google's Self-Discover paper, memory and function call history, adaptive iterative planning, and more. Sophia supports multiple LLMs/services, CLI and web interface, human-in-the-loop interactions, flexible deployment options, observability with OpenTelemetry tracing, and specific agents for code editing, software engineering, and code review. It provides a flexible platform for the TypeScript community to expand and support various use cases and integrations.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize LLM applications with APIs. It handles tasks like detecting and rejecting jailbreak attempts, calling backend APIs, disaster recovery, and observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and standards-based observability. Arch aims to improve the speed, security, and personalization of generative AI applications.

Parea AI provides a SDK to evaluate & monitor AI applications. It allows users to test, evaluate, and monitor their AI models by defining and running experiments. The SDK also enables logging and observability for AI applications, as well as deploying prompts to facilitate collaboration between engineers and subject-matter experts. Users can automatically log calls to OpenAI and Anthropic, create hierarchical traces of their applications, and deploy prompts for integration into their applications.

Ax is a Typescript library that allows users to build intelligent agents inspired by agentic workflows and the Stanford DSP paper. It seamlessly integrates with multiple Large Language Models (LLMs) and VectorDBs to create RAG pipelines or collaborative agents capable of solving complex problems. The library offers advanced features such as streaming validation, multi-modal DSP, and automatic prompt tuning using optimizers. Users can easily convert documents of any format to text, perform smart chunking, embedding, and querying, and ensure output validation while streaming. Ax is production-ready, written in Typescript, and has zero dependencies.

Comet Opik is a repository containing two main services: a frontend and a backend. It provides a Python SDK for easy installation. Users can run the full application locally with minikube, following specific installation prerequisites. The repository structure includes directories for applications like Opik backend, with detailed instructions available in the README files. Users can manage the installation using simple k8s commands and interact with the application via URLs for checking the running application and API documentation. The repository aims to facilitate local development and testing of Opik using Kubernetes technology.

Dravid (DRD) is an advanced, AI-powered CLI coding framework designed to follow user instructions until the job is completed, including fixing errors. It can generate code, fix errors, handle image queries, manage file operations, integrate with external APIs, and provide a development server with error handling. Dravid is extensible and requires Python 3.7+ and CLAUDE_API_KEY. Users can interact with Dravid through CLI commands for various tasks like creating projects, asking questions, generating content, handling metadata, and file-specific queries. It supports use cases like Next.js project development, working with existing projects, exploring new languages, Ruby on Rails project development, and Python project development. Dravid's project structure includes directories for source code, CLI modules, API interaction, utility functions, AI prompt templates, metadata management, and tests. Contributions are welcome, and development setup involves cloning the repository, installing dependencies with Poetry, setting up environment variables, and using Dravid for project enhancements.

Arch is an intelligent Layer 7 gateway designed to protect, observe, and personalize AI agents with APIs. It handles tasks related to prompts, including detecting jailbreak attempts, calling backend APIs, routing between LLMs, and managing observability. Built on Envoy Proxy, it offers features like function calling, prompt guardrails, traffic management, and observability. Users can build fast, observable, and personalized AI agents using Arch to improve speed, security, and personalization of GenAI apps.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

TRACE is a temporal grounding video model that utilizes causal event modeling to capture videos' inherent structure. It presents a task-interleaved video LLM model tailored for sequential encoding/decoding of timestamps, salient scores, and textual captions. The project includes various model checkpoints for different stages and fine-tuning on specific datasets. It provides evaluation codes for different tasks like VTG, MVBench, and VideoMME. The repository also offers annotation files and links to raw videos preparation projects. Users can train the model on different tasks and evaluate the performance based on metrics like CIDER, METEOR, SODA_c, F1, mAP, Hit@1, etc. TRACE has been enhanced with trace-retrieval and trace-uni models, showing improved performance on dense video captioning and general video understanding tasks.

tinyllm is a lightweight framework designed for developing, debugging, and monitoring LLM and Agent powered applications at scale. It aims to simplify code while enabling users to create complex agents or LLM workflows in production. The core classes, Function and FunctionStream, standardize and control LLM, ToolStore, and relevant calls for scalable production use. It offers structured handling of function execution, including input/output validation, error handling, evaluation, and more, all while maintaining code readability. Users can create chains with prompts, LLM models, and evaluators in a single file without the need for extensive class definitions or spaghetti code. Additionally, tinyllm integrates with various libraries like Langfuse and provides tools for prompt engineering, observability, logging, and finite state machine design.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

Hi, I'm your go-to guide for everything hiking. From beginner tips to advanced techniques, gear advice, and Leave No Trace principles, I'm here to help elevate your hiking experience. Ask me a question!

A GPT that traces back the origins of ideas, concepts, or data.

Linguistic expert on word origins and history, engaging and enlightening.

Cannabis genetics expert and lineage tracer with visualization skills.

Expert in explaining the meanings and origins of names.

A knowledgeable guide on the meanings and origins of names.

Expert in paleography for genealogical document analysis.

A guide for simple, child-friendly coloring and tracing page ideas.

从历史角度梳理哲学概念及其发展，总结核心观点和代表人物。

Structured financial analysis with investment advisory and simulations.

Professional gold trading advisor.

FX市場を分析し、テクニカル洞察でトレンドを予測します。

AI assistant for analyzing Congress members' trades for investment insights.

Guide on trading and barter.

Worldwide expert in trade logistics and regulations.

Analyzing export industries with detailed, historical, and global insights.

Your go-to, fun-loving F1 guide for trivia, facts, and games!

Your Friendly Market Companion - Trade Stocks, Crypto, Commodities

I turn Toggl data into insightful visuals. Get your data from Settings (in Toggl Track) -> Data Export -> Export Time Entries. Ask for bonus analyses and plots :)

Your TV/Film Companion. Keep track of plot developments and character arcs in your favourite TV shows and films, spoiler-free.