A comprehensive LLM-ops platform for developers to trace, debug, monitor, and evaluate their language model applications, bridging the gap from prototype to production-grade, reliable AI systems.
LangSmith provides a unified platform for the entire lifecycle of developing large language model (LLM) applications. It's designed for AI developers and MLOps teams who need robust tools for debugging, tracing, and evaluating their complex chains and agents. The platform offers deep visibility into LLM calls, allowing users to visualize execution traces, monitor performance metrics like latency and cost, and identify bottlenecks. Its unique value lies in creating a feedback loop where production data informs fine-tuning and prompt engineering, enabling continuous improvement. By integrating testing and monitoring, LangSmith aims to bridge the gap between LLM experimentation and production-ready, reliable AI applications.
AI engineers, machine learning engineers, MLOps teams, and software developers building applications with large language models (LLMs).
Based on 0 reviews
70,000+ workspaces
2023
San Francisco, USA
Developer
For individuals and hobbyists. Includes up to 5,000 traces/month, 100 evaluation runs, and community support.
Free
Startup
For small teams building products. Starts at $75/mo for 2 users, includes 30k traces/month, unlimited evaluation runs, and more features. Additional users and usage are billed separately.
$75/mo
Enterprise
For large organizations requiring scalability and security. Includes features like SSO, on-premise deployment options, dedicated support, and custom usage limits.
Custom
A broader MLOps platform chosen by teams who want to manage the entire ML lifecycle, from model training to LLM prompt monitoring, in a single system.
An excellent choice for teams needing a powerful, dedicated ML observability platform that supports both traditional ML models and LLMs with strong troubleshooting capabilities.
Ideal for organizations already heavily invested in the Datadog ecosystem, allowing them to monitor LLM applications alongside their existing infrastructure and services.
A strong alternative for teams prioritizing AI quality and governance, offering robust tools for LLM evaluation, testing, and collecting real-world feedback before and after deployment.
Join thousands of users and see how LangSmith can transform your workflow today.
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