LangSmith

🚀 Discover LangSmith: The ultimate unified DevOps platform for advancing LLM applications! From crafting prompts to deploying with ease, LangSmith revolutionizes the LLM development journey. Collaborate, innovate, and optimize with LangSmith today! 🔥 #AI #DevOps #LLM #LangSmith

LangSmith is a unified DevOps platform for developing, collaborating, testing, deploying, and monitoring LLM applications.
LangSmith supports all phases of the LLM development lifecycle, re-imagining traditional engineering best practices.
LangSmith provides full visibility into the sequence of calls for spotting errors and performance issues in real-time.
Collaboration between developers and subject matter experts is crucial for building LLM-powered applications on LangSmith.
LangSmith allows for easy sharing of chain traces with colleagues, clients, or end users to enhance explainability.
LangSmith Hub enables crafting, versioning, and commenting on prompts without requiring engineering experience.
LangSmith Annotation Queues assist in adding human labels and feedback on traces for better understanding.
Datasets can be easily constructed from production data or existing sources to aid in evaluations, fine-tuning, and few-shot prompting.
LangSmith offers tools for measuring quality over large test suites, including auto-evaluation and regression testing.
Applications can be deployed with one-click using hosted LangServe, providing visibility into cost, latency, and quality.
LangSmith turns LLM-based applications into enterprise-ready solutions and offers self-hosting options on the enterprise plan.
LangSmith seamlessly integrates with LangChain through trace logging and SDK usage, with support for non-Python and TypeScript applications via an API.
Traces in LangSmith are stored in GCP us-central-1, ensuring logical separation and encryption in transit and at rest.
LangSmith traces contain detailed information about each step of the application for debugging, with the ability to sample the traces sent.
No latency is added to applications by LangSmith, as the trace collection process runs asynchronously and distributedly.
LangSmith does not train on user data, and users retain all rights to their data.
For information on pricing and plans, users can refer to the LangSmith pricing page.