Agentsop Observability Setup
agentsope/SkillAlchemy
Enhancement-overlay skill — the DECISION + WIRING layer for LM observability that the single-backend skills [[langsmith]], [[phoenix]], [[mlflow]] do NOT cover.
Trace, evaluate, and deploy AI agents and LLM applications with LangSmith.
Install Langsmith
$ npx skills add langchain-ai/docs --skill langsmith -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install langchain-ai/docs langsmith --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .claude/skills && cp -r skills-src/src/.mintlify/skills/langsmith .claude/skills/langsmith && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "langsmith" agent skill from https://github.com/langchain-ai/docs/tree/main/src/.mintlify/skills/langsmith into .claude/skills/langsmith/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/langchain-ai/docs/tree/main/src/.mintlify/skills/langsmithType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add langchain-ai/docs --skill langsmith -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install langchain-ai/docs langsmith --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .agents/skills && cp -r skills-src/src/.mintlify/skills/langsmith .agents/skills/langsmith && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "langsmith" agent skill from https://github.com/langchain-ai/docs/tree/main/src/.mintlify/skills/langsmith into .agents/skills/langsmith/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/docs --skill langsmith -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install langchain-ai/docs langsmith --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/src/.mintlify/skills/langsmith .cursor/skills/langsmith && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "langsmith" agent skill from https://github.com/langchain-ai/docs/tree/main/src/.mintlify/skills/langsmith into .cursor/skills/langsmith/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/langchain-ai/docs.git --path src/.mintlify/skills/langsmith--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add langchain-ai/docs --skill langsmith -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install langchain-ai/docs langsmith --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/src/.mintlify/skills/langsmith .gemini/skills/langsmith && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "langsmith" agent skill from https://github.com/langchain-ai/docs/tree/main/src/.mintlify/skills/langsmith into .gemini/skills/langsmith/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install langchain-ai/docs langsmithInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add langchain-ai/docs --skill langsmith -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .github/skills && cp -r skills-src/src/.mintlify/skills/langsmith .github/skills/langsmith && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "langsmith" agent skill from https://github.com/langchain-ai/docs/tree/main/src/.mintlify/skills/langsmith into .github/skills/langsmith/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add langchain-ai/docs --skill langsmith -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install langchain-ai/docs langsmith --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/langchain-ai/docs.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/src/.mintlify/skills/langsmith .opencode/skills/langsmith && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "langsmith" agent skill from https://github.com/langchain-ai/docs/tree/main/src/.mintlify/skills/langsmith into .opencode/skills/langsmith/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "langsmith", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
langsmith- GitHub stars
- 426
- Token cost
- ~935 tokens
- SKILL.md length
- 264 words
- Files
- 1
- Skills in repo
- 17
- Repo updated
- First seen
- Licence
- MIT
At a glance
Trace, evaluate, and deploy AI agents and LLM applications with LangSmith.
- Adding observability
- SKILL.md covers When to use, When NOT to use, Quick setup and Core capabilities, plus 3 more sections
- Calls pip and npm; reaches reference.langchain.com; needs LANGSMITH_API_KEY
- Running evaluations
What it does
Langsmith is an agent skill from langchain-ai/docs, published by the product's own GitHub organization. Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. Use when adding observability, running evaluations, engineering prompts, or deploying agents to production.
Its SKILL.md is about 940 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts. Compatibility notes: Framework-agnostic. Works with LangChain, LangGraph, Deep Agents, OpenAI Agents SDK, CrewAI, Pydantic AI, and more.
It sits in AI & LLM Engineering, covering LLM observability, Building AI agents and Observability. It works with LangSmith, LangChain and LangGraph. The repository describes itself as: Unified LangChain documentation. The licence is MIT.
When your agent uses it
- Adding observability
- Running evaluations
- Engineering prompts
- Deploying agents to production
Example prompts
- “/langsmith”
Requirements
- Python 3
- Node.js
- A credential in LANGSMITH_API_KEY
- Compatibility (from SKILL.md): Framework-agnostic. Works with LangChain, LangGraph, Deep Agents, OpenAI Agents SDK, CrewAI, Pydantic AI, and more.
What it can do on your machine
Read from SKILL.md and the folder at commit be3028f. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
Shell commands in SKILL.md call:
pipnpm
From the folder's file list and the shell code blocks in SKILL.md.
Network
Hosts in commands or code, which the agent is likely to contact:
reference.langchain.com
Also links to:
docs.langchain.comsmith.langchain.com
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names these keys or tokens, usually read from environment variables:
LANGSMITH_API_KEY
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Compatibility
Framework-agnostic. Works with LangChain, LangGraph, Deep Agents, OpenAI Agents SDK, CrewAI, Pydantic AI, and more.
From compatibility in the SKILL.md frontmatter.
Context cost
Langsmith loads about 935 tokens when it runs. Until then it costs about 48 tokens; SKILL.md has 264 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from langchain-ai/docs at commit be3028f, republished under its MIT licence (© langchain-ai). 264 words, ~935 tokens.
Download SKILL.mdSave it as
.claude/skills/langsmith/SKILL.md (or your agent's skills folder).- name
- langsmith
- description
- Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. Use when adding observability, running evaluations, engineering prompts, or deploying agents to production.
- compatibility
- Framework-agnostic. Works with LangChain, LangGraph, Deep Agents, OpenAI Agents SDK, CrewAI, Pydantic AI, and more.
- license
- MIT
- metadata.author
- langchain-ai
- metadata.version
- 1.0
LangSmith
LangSmith is a framework-agnostic platform for building, debugging, and deploying AI agents and LLM applications. Trace requests, evaluate outputs, test prompts, and manage deployments all in one place at smith.langchain.com.
When to use
Use LangSmith when you need to:
- Trace and debug LLM calls, agent steps, retrieval, and tool use
- Evaluate LLM outputs with automated or human-in-the-loop scoring
- Engineer prompts with a visual playground and version control
- Deploy agents to production with the LangGraph-based agent server
- Monitor production systems with dashboards, alerts, and cost tracking
When NOT to use
- To build agent logic or LLM pipelines, use LangChain, LangGraph, or Deep Agents instead
- LangSmith is the platform layer that complements these frameworks
Quick setup
Set two environment variables to enable tracing from any supported framework:
export LANGSMITH_TRACING=true
export LANGSMITH_API_KEY="your-api-key" # from smith.langchain.com/settingsInstall the SDK
# Python
pip install langsmith
# JavaScript/TypeScript
npm install langsmithVerify tracing
from langsmith import traceable
@traceable
def my_function(query: str) -> str:
# Your LLM logic here—all calls inside are traced automatically
return "result"Core capabilities
| Capability | Description |
|---|---|
| Observability | Trace every step of your LLM app with automatic or manual instrumentation |
| Evaluation | Run evaluations with code, LLM-as-judge, or composite evaluators |
| Prompt engineering | Create, version, and test prompts in a visual playground |
| Agent deployment | Deploy LangGraph agents with streaming, human-in-the-loop, and durable execution |
| Monitoring | Dashboards, alerts, and cost tracking for production workloads |
Key documentation
- Overview—Get started with LangSmith
- Observability quickstart—Add tracing in minutes
- Evaluation quickstart—Run your first evaluation
- Prompt engineering quickstart—Iterate on prompts
- Deployment quickstart—Deploy an agent
- Integrations—Connect your framework or provider
- Create account & API key—Account setup
API reference
For SDK class and method details, use the LangChain API Reference site:
- Browse:
https://reference.langchain.com/python/langsmith - MCP server:
https://reference.langchain.com/mcp
Related skills
- langchain—Build agents with prebuilt architecture and model integrations
- langgraph—Orchestrate stateful, durable agent workflows
- deep-agents—Batteries-included agent harness with planning and subagents
© langchain-ai, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in src/.mintlify/skills/langsmith of langchain-ai/docs.
Open the folder on GitHubat commit be3028f
Compare with similar skills
Langsmith next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Langsmith this skilllangchain-ai/docs | 426 | — | ~935 | Automated safety check: Pass | MIT | |
| Agentsop Observability Setupagentsope/SkillAlchemy | 466 | — | ~4.4k | Automated safety check: Pass | MIT | |
| Langchain Observabilityjeremylongshore/tons-of-skills-marketplace | 2.8k | — | ~3.9k | Automated safety check: Notes | MIT | |
| LangSmith Trace DebuggingComposioHQ/awesome-claude-skills | 77k | 8 repos | ~2.7k | Automated safety check: Pass | None | |
| Failproof AI SDK IntegrationFailproofAI/failproofai | 5.3k | — | ~6k | Automated safety check: Pass | Custom licence | |
| Langchain Dependencieslangchain-ai/langchain-skills | 1.3k | — | ~3.6k | Automated safety check: Pass | MIT |
Similar skills
Langchain Observability
jeremylongshore/tons-of-skills-marketplace
Wire LangSmith tracing and custom metric callbacks into a LangChain 1.0 chain or LangGraph 1.0 agent correctly — env-var spelling, subgraph propagation, per-tenant dimensions, cost and latency…
LangSmith Trace Debugging
ComposioHQ/awesome-claude-skills
Debugs LangChain and LangGraph agents by pulling recent execution traces with the langsmith-fetch CLI and reporting errors, tool calls, timings and token use.
Failproof AI SDK Integration
FailproofAI/failproofai
Helps instrument a custom Python or TypeScript agent to record events for Failproof AI, verify what gets written, and run an evaluator worker that scores the runs.
- Official
Langchain Dependencies
langchain-ai/langchain-skills
INVOKE THIS SKILL when setting up a new project or when asked about package versions, installation, or dependency management for LangChain, LangGraph, LangSmith, or Deep Agents.
Langgraph Testing Evaluation
soba-labs/langchain-agent-skills
A skill your agent uses when you need to test or evaluate LangGraph/LangChain agents: writing unit or integration tests, generating test scaffolds, mocking LLM/tool behavior, running trajectory…
More from langchain-ai/docs
All 17 skills in this repo- Official
Add Docs Page
langchain-ai/docs
Add, move, rename, or delete a page on the LangChain docs site.
- Official
Deep Agents
langchain-ai/docs
Build batteries-included agents with planning, context management, subagent delegation, and sandboxed execution.
- Official
Docs Code Samples
langchain-ai/docs
A skill your agent uses when migrating inline code samples from LangChain docs (MDX files) into external, testable code files that are extracted by this repo’s snippet scripts and used as Mintlify…
- Official
Docs Edit
langchain-ai/docs
Edit a docs page that already has an open pull request, or revise a page in place.
- Official
Docs Restructure
langchain-ai/docs
Restructure documentation that spans several pages. An agent skill from langchain-ai/docs.
- Official
Docs Team Voice
langchain-ai/docs
Write or revise documentation prose so it reads like the rest of this site, in the docs team's shared voice.
Related
Categories
Questions about Langsmith
What does Langsmith do?
Trace, evaluate, and deploy AI agents and LLM applications with LangSmith. Langsmith is an agent skill from langchain-ai/docs, published by the product's own GitHub organization. Trace, evaluate, and deploy AI agents and LLM applications with LangSmith.
When should I use Langsmith?
Langsmith fits situations like: adding observability; running evaluations; engineering prompts; deploying agents to production.
How do I install Langsmith in Claude Code?
Run `npx skills add langchain-ai/docs --skill langsmith -a claude-code`. Or copy the skill folder (src/.mintlify/skills/langsmith in langchain-ai/docs) into .claude/skills/langsmith in your project. Claude Code loads it when a task matches its description.
How do I install Langsmith in Codex?
Run `npx skills add langchain-ai/docs --skill langsmith -a codex`. Or copy the skill folder (src/.mintlify/skills/langsmith in langchain-ai/docs) into .agents/skills/langsmith in your project. Codex loads it when a task matches its description.
Can I use Langsmith in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add langchain-ai/docs --skill langsmith -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/langsmith, .gemini/skills/langsmith, .github/skills/langsmith and .opencode/skills/langsmith in your project.
What does Langsmith need to run?
Going by SKILL.md and its folder, Langsmith needs the command-line tools its instructions call (pip and npm) and credentials named LANGSMITH_API_KEY. Our summary lists: Python 3; Node.js; A credential in LANGSMITH_API_KEY. Compatibility (from SKILL.md): Framework-agnostic. Works with LangChain, LangGraph, Deep Agents, OpenAI Agents SDK, CrewAI, Pydantic AI, and more..
Does Langsmith access the network?
SKILL.md names 3 domains. In commands or code: reference.langchain.com; the agent is likely to contact it when it follows the instructions. As links in the text: docs.langchain.com and smith.langchain.com. This is read from the text; nothing was executed.
Is Langsmith safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Langsmith use?
Langsmith is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Langsmith use?
About 935 tokens (SKILL.md is roughly 3.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Langsmith?
Skills that share tags, products or a category with Langsmith: Agentsop Observability Setup (agentsope/SkillAlchemy, 466 stars), Langchain Observability (jeremylongshore/tons-of-skills-marketplace, 2.8k stars), LangSmith Trace Debugging (ComposioHQ/awesome-claude-skills, 77k stars) and Failproof AI SDK Integration (FailproofAI/failproofai, 5.3k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Langsmith?
langchain-ai (a GitHub organization, an official publisher) maintains it in langchain-ai/docs, which has 426 GitHub stars. The repository holds 17 skills in this directory. The repository was last updated on October 9, 2026.
Source: langchain-ai/docs on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.