#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 🍓
The open-source LLMOps platform: prompt playground, prompt management, LLM evaluation, and LLM Observability all in one place.
Laminar - open-source all-in-one platform for engineering AI products. Crate data flywheel for you AI app. Traces, Evals, Datasets, Labels. YC S24.
#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,...
#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#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
#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.