🧠 LangSmith Flashcards
LangSmith developer platform is part of the LangChain ecosystem.
It helps teams trace, debug, and evaluate applications powered by large language models (LLMs).
For example, you can visualize chains, monitor agent behavior, and optimize performance.
In addition, LangSmith provides both free and paid tiers, making it accessible for beginners and enterprises alike.
💡 What is LangSmith?
It is a developer platform by LangChain for debugging, tracing, and evaluating LLM-powered applications.
🔍 Why use LangSmith?
It gives insights into agent behavior, helps troubleshoot failures, and improves performance with trace visualization and feedback.
📋 What are traces?
Traces are execution records showing prompts, tools used, outputs, and timing. Therefore, they reveal the full flow of your app.
🛠️ What can you debug?
You can inspect prompt inputs, tool calls, retries, failures, outputs, and nested chains or agents.
📊 Which metrics are tracked?
Latency, token usage, tool calls, error rates, and agent timelines are tracked for performance optimization.
🔄 How does evaluation work?
LangSmith supports both human and automatic evaluations. Criteria include correctness, clarity, and helpfulness.
🔗 Does it integrate with LangChain?
Yes. It works with chains, agents, tools, and LangChain Expression Language (LCEL) for smooth integration.
🧪 What is LCEL?
LCEL (LangChain Expression Language) defines chain logic declaratively, and LangSmith captures its traces.
🌐 Does it support multi-agent apps?
Yes. You can trace multiple agents, monitor memory use, and track tool interactions in complex workflows.
🔐 Is LangSmith free?
It offers a free plan with core features. Paid plans unlock more projects, tokens, logs, and team features.
For more details, visit the
LangSmith documentation
and LangSmith GitHub SDK.
You can also explore our Uplatz Blog
for more AI and developer platform tutorials.