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LangSmith

Freemium
llmopsobservabilityai developer tooldebuggingtracingllm evaluationlangchainprompt engineeringmachine learning

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.

Pros

  • Deep visibility into LLM chains and agent execution paths for easier debugging.
  • Comprehensive evaluation suite for testing prompts, models, and application logic with custom datasets.
  • Seamless integration with the popular LangChain framework, making it a native experience for existing users.
  • Provides essential monitoring for production applications, tracking cost, latency, feedback, and token usage.
  • Collaboration features like shared workspaces, datasets, and the Prompt Hub facilitate team-based development.

Cons

  • The user interface can have a steep learning curve for developers new to LLM observability tools.
  • Can feel tightly coupled with the LangChain framework, potentially being less intuitive for users of other stacks like LlamaIndex.
  • Pricing can become complex, combining a seat-based fee with usage-based charges for traces and data.
  • While expanding, its integration ecosystem is less mature than established, general-purpose APM platforms.

Key features

  • LLM & Chain Tracing
  • Testing & Evaluation
  • Production Monitoring & Analytics
  • Prompt Hub for prompt management and versioning
  • Data Collection & Annotation
  • Collaboration Workspaces
  • Automated Feedback Collection

Integrations

LangChain (Python & JS/TS)LlamaIndexOpenAIAnthropicGoogle Vertex AIAzure OpenAIMistral AIHugging FaceDatabricks

Target audience

AI engineers, machine learning engineers, MLOps teams, and software developers building applications with large language models (LLMs).


Ratings & Reviews

0.0

Based on 0 reviews

Key Metrics

Active Users

70,000+ workspaces

Founded

2023

Headquarters

San Francisco, USA

Pricing Tiers

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


Frequently Asked Questions


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Trubrics

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.

Ready to get started?

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