Langsmith Deployment
ListedAutomate LangSmith deployment and configuration for seamless LLM observability and debugging workflows.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add soba-labs/langchain-agent-skills --skill langsmith-deployment -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
lubu-labs
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.
No undeclared network calls: failed
Contacts 4 hosts that are neither well-known infrastructure nor declared in the skill's frontmatter: api.host.langchain.com, docs.langchain.com, eu.api.host.langchain.com, smith.langchain.com.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
Hosts contacted
api.host.langchain.comundeclaredeu.api.host.langchain.comundeclaredsmith.langchain.comundeclaredgithub.comsource hostdocs.langchain.comundeclaredWhat it found (3 of 21)
- skills/langsmith-deployment/scripts/deploy_to_langsmith.py:6contacts api.host.langchain.com
- US: https://api.host.langchain.com - skills/langsmith-deployment/scripts/deploy_to_langsmith.py:26contacts api.host.langchain.com
DEFAULT_CONTROL_PLANE_US = "https://api.host.langchain.com" - skills/langsmith-deployment/scripts/deploy_to_langsmith.py:285contacts api.host.langchain.com
"Cloud defaults: https://api.host.langchain.com (US), "
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned lubu-labs/langchain-agent-skills at a2d4a1011b.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- a2d4a1011b
- Scanned
- 15 files, 2,855 lines
About this skill
What it does
The langsmith-deployment skill allows AI agents to deploy and manage LangSmith deployments. It facilitates the creation, updating, and deletion of LangSmith deployment resources directly from within an agent's workflow. This enables automated experimentation and management of LLM applications using LangSmith’s observability platform.
When to use it
- Automated Experimentation: An agent needs to automatically deploy different versions of a chatbot for A/B testing, then analyze the results in LangSmith.
- Dynamic Configuration: An agent must adjust deployment settings (e.g., memory, temperature) based on real-time performance metrics observed within LangSmith.
- Infrastructure Provisioning: An agent needs to create new LangSmith deployments as part of an automated application rollout process.
- Rollback and Recovery: An agent automatically reverts to a previous deployment in LangSmith if errors are detected during runtime.
Key capabilities
- Create LangSmith Deployments
- Update existing LangSmith Deployments
- Delete LangSmith Deployments
Example prompts
- "Deploy a new chatbot version named 'my-chatbot-v2' with the latest code."
- "Increase the temperature of the current deployment to 0.8 and log the changes in LangSmith."
- “Roll back the last deployment if the error rate exceeds 5%.”
Tips & gotchas
Requires a configured LangSmith API key for authentication. Ensure the agent has appropriate permissions within your LangSmith organization to perform deployment actions.