LangSmith CLI is a lightweight, context-efficient command-line interface for LangSmith. It replaces heavy MCP servers with on-demand skills, enabling operations teams to automate workflows and integrate with Claude agents. It connects to LangSmith's ecosystem, streamlining operations and reducing infrastructure costs.
git clone https://github.com/gigaverse-app/langsmith-cli.gitLangSmith CLI is a modern command-line interface designed for operations teams and AI agents to automate LangSmith workflows. With sub-100ms startup times and lazy-loaded imports, it reduces context usage by 96% compared to traditional approaches, making it ideal for agent-based integrations. The tool provides complete coverage of LangSmith resources including projects, runs, datasets, examples, and prompts, with powerful features like live dashboards, regex filtering, stratified sampling, and real-time monitoring. Built for both human operators and AI agents, it offers rich formatted output for humans and strict JSON mode for agents, enabling efficient debugging, analytics, and bulk operations without the overhead of heavy MCP servers.
Install via curl, uv, or pip (requires Python 3.12+). Authenticate with `langsmith-cli auth login`. Add to Claude Code with `/plugin marketplace add gigaverse-app/langsmith-cli`. Use commands like `runs list`, `runs watch`, `runs analyze`, or `datasets upload` to manage your LangSmith resources.
Monitor and debug production LLM runs in real-time with live dashboards
Automate filtering and analysis of failed runs across projects with regex patterns
Bulk upload and manage datasets for model evaluation
Sample and analyze run aggregates by tags and metadata
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/gigaverse-app/langsmith-cliCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
Use the LangSmith CLI to automate the following workflow: [DESCRIBE WORKFLOW]. The workflow should include [NUMBER] steps and connect to [SPECIFIC TOOLS]. Ensure the automation reduces manual effort by [PERCENTAGE] and integrates with [EXISTING SYSTEMS].
The LangSmith CLI successfully automated the customer onboarding workflow, which previously required 10 manual steps. The new automation connects to Salesforce, HubSpot, and our internal CRM, reducing onboarding time by 75%. The workflow now includes: 1) Extracting customer data from Salesforce, 2) Creating a HubSpot ticket for the onboarding team, 3) Sending a welcome email via our CRM, and 4) Scheduling the initial onboarding call. The automation has significantly improved efficiency and reduced errors in the onboarding process.
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