#大语言模型#🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
#大语言模型#Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
#大语言模型#🧊 Open source LLM observability platform. One line of code to monitor, evaluate, and experiment. YC W23 🍓
Next-generation AI Agent Optimization Platform: Cozeloop addresses challenges in AI agent development by providing full-lifecycle management capabilities from development, debugging, and evaluation to...
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM observability all in one place.
#大语言模型#Open Source TypeScript AI Agent Framework
Laminar - open-source all-in-one platform for engineering AI products. Create data flywheel for your AI app. Traces, Evals, Datasets, Labels. YC S24.
#大语言模型#The open source post-building layer for agents. Our traces + evals power agent post-training (RL, SFT), monitoring, and regression testing.
#大语言模型#Build, Improve Performance, and Productionize your LLM Application with an Integrated Framework
#大语言模型#Modular, open source LLMOps stack that separates concerns: LiteLLM unifies LLM APIs, manages routing and cost controls, and ensures high-availability, while Langfuse focuses on detailed observability,...
#大语言模型#A powerful AI observability framework that provides comprehensive insights into agent interactions across platforms, enabling developers to monitor, analyze, and optimize AI-driven applications with m...
#计算机科学#A comprehensive solution for monitoring your AI models in production
Open-source observability for your LLM application.
#大语言模型#🪢 Auto-generated Java Client for Langfuse API
#大语言模型#The reliability layer between your code and LLM providers.
#大语言模型#Streamlit-based chatbot leveraging Ollama via LangChain and PostHog-LLM for advanced logging and monitoring
A Python package for tracking and analyzing LLM usage across different models and applications. It is primarily designed as a library for integration into development process of LLM-based agentic work...
#大语言模型#The Modelmetry JS/TS SDK allows developers to easily integrate Modelmetry’s advanced guardrails and monitoring capabilities into their LLM-powered applications.
#大语言模型#Volta is a Go library for multi-tenant encryption and secrets management, offering embedded data protection without external dependencies. 🔒🚀
#大语言模型#Evaluate and compare AI language models on coding tasks with Evals. Run structured tests, integrate usage rules, and generate detailed reports. 🚀🤖