Agent Tracing

parea.ai

Parea AI is an experimentation and human annotation platform designed for AI teams. It provides tools for experiment tracking, observability, and human annotation, helping teams confidently ship LLM applications to production. Parea AI offers features such as auto-creating domain-specific evals, performance testing and tracking, debugging failures, human review, prompt playground, deployment tools, observability, and dataset management.

LangSmith

LangSmith is an all-in-one platform to develop, debug, test, and monitor LLM applications, ensuring high performance, accuracy, and reliability.

Langfuse

An open-source LLM engineering platform for tracing, evaluation, prompt management, and metrics. #opensource Found in: steven2358/awesome-generative-ai

Helicone

Self-host / Cloud Found in: Yigtwxx/Awesome-RAG-Production

Weights & Biases Weave

Weave by Weights & Biases is an LLM observability toolkit that provides tracing, evaluation, and dataset management for AI applications. It integrates with the broader W&B experiment tracking ecosystem.

Openllmetry

Open-source observability for your LLM application, based on OpenTelemetry !GitHub Repo stars Found in: kyrolabs/awesome-langchain

Datadog LLM Observability

Datadog LLM Observability provides end-to-end monitoring for LLM applications within the Datadog platform. It offers trace visualization, prompt/response inspection, cost tracking, and quality evaluations alongside your existing APM data.

LangWatch

LangWatch is an LLMops platform designed to monitor, evaluate, and optimize large language model (LLM) applications throughout their lifecycle 1256. It caters to domain experts, developers, and business stakeholders, offering tailored features 6. LangWatch helps organizations build and deploy high-quality, reliable LLM applications by providing tools for real-time performance monitoring, quality assessment using pre-built and custom evaluations (offering over 30 off-the-shelf evaluations), performance optimization through prompt engineering and model selection (integrating with DSPy for automated prompt optimization), debugging with tracing and observability, and risk mitigation against jailbreaking, data leakage, and hallucinations 1251112. Key features include dataset management, customizable dashboards, version control, integration with various LLMs (OpenAI, Claude, Azure, Gemini, Hugging Face, Groq, LangChain, DSPy, Vercel AI SDK, LiteLLM, OpenTelemetry, and LangFlow), API access via a REST API, and a focus on security and compliance (GDPR compliant, working towards ISO27001, with self-hosted or hybrid deployment options) 12345. LangWatch has use cases in AI chatbots (monitoring performance, detecting off-topic conversations, and preventing data leaks), RAG applications (evaluating quality), AI-powered tools (improving accuracy and reliability), and generative AI (ensuring quality and safety) 8. Unique selling points include its comprehensive LLMops platform, ease of use, flexibility in supporting various LLMs and frameworks, collaborative workflows, and potential cost-effectiveness through prompt optimization 1259. The platform supports Python and TypeScript, integrates with OpenTelemetry, and offers SDKs for both languages 46. Integration is facilitated through REST APIs 3. While specific awards are not mentioned, positive user testimonials and company growth suggest market acceptance 5. Recent updates include the addition of helm charts, UI improvements, ongoing development of the REST API and SDKs, and recent funding secured by the company 3711.

Braintrust

No description available.

Honeycomb AI

Honeycomb extends its observability platform to LLM applications with OpenTelemetry-based tracing, natural language querying, and AI-powered root cause analysis for understanding complex AI system behavior.

Arize Phoenix

Found in: Yigtwxx/Awesome-RAG-Production

AgentOps

Discover AgentOps the ultimate tool for testing, debugging, and optimizing AI agents. Track, analyze, and enhance agent performance seamlessly.