LangSmith records everything an AI app does on each run; this builds your team its own page inside LangSmith — a small dashboard of your choosing over that recorded data — and publishes it, checks its numbers, or hands a clean copy to another team.
WHEN TO USE
SCOPE
USE FOR
Build a dashboard page showing which tools your AI agent calls most often.
Check an app's figures against real recorded data before trusting an empty or tidy result.
Copy a finished page into another workspace without overwriting the original.
Strip internal IDs and keys from an app's code before sharing it outside the company.
Track down why a running page suddenly shows empty lists after about ten minutes.
This is a saved copy of the skill's SKILL.md instructions. It may differ from the upstream file or the version you install.
Custom Apps are Enterprise-plan React UIs that render inside LangSmith and read the LangSmith API through a host-injected bridge. You build one locally with langsmith apps, push it, and it appears under Custom Apps in the workspace sidebar. This skill covers the work around the app directory: the CLI surface, the app lifecycle, verification, and sharing.
<agents_md_is_authoritative>
langsmith apps init scaffolds an AGENTS.md next to the starter code. That file is the authority on the in-app contract — the window.langsmith.call bridge, the render() export the sandbox depends on, the filter DSL, and the endpoint menu. Read it before writing app code and follow it over anything remembered.
This skill deliberately does not restate it. Everything here is what AGENTS.md cannot cover: what happens before the directory exists, and after the app is pushed.
</agents_md_is_authoritative>
Custom Apps require the Enterprise plan. A push into a workspace without the feature fails with this workspace doesn't support custom apps.
export LANGSMITH_ENDPOINT=<your-langsmith-endpoint> # only for self-hosted
export LANGSMITH_API_KEY=<workspace-api-key>
Three authentication traps, each of which presents as something other than an auth problem:
LANGSMITH_API_KEY in the environment outranks the saved OAuth profile. A stale exported key 403s every call while langsmith auth info still reports "authenticated". Run one-off commands as env -u LANGSMITH_API_KEY -u LANGSMITH_WORKSPACE_ID langsmith … when you mean to use the login.
LANGSMITH_WORKSPACE_ID may point at a different workspace than the key, which surfaces as a confusing 403 rather than a wrong-workspace error. Unset it and pass --workspace <uuid> explicitly.
langsmith apps dev needs a workspace API key, not OAuth. It captures one access token at startup and never refreshes it, so after roughly ten minutes every call returns 401 Invalid token — which the app renders as empty dropdowns and empty lists, not as an auth error. If a running app's data silently goes empty, suspect this first.
<cli_feedback>
After an actual CLI failure, undocumented workaround, confusing output, or missing capability, submit one concise product-feedback note per distinct issue in the task. Do not report routine successes or failures in the app's own code.
CLI requirement:langsmith feedback requires LangSmith CLI v0.2.58 or later. Check the installed version with langsmith --version.
Check langsmith feedback --help for feedback <note> and --category; if unavailable, skip feedback without raw HTTP or unreleased builds. Use the existing authenticated profile, endpoint, and workspace. Feedback goes to LangSmith Cloud, including through the BYOC relay; skip standalone self-hosted. Respect user/organization restrictions and ask first if permission to send feedback is unclear.
Summarize expected versus observed CLI behavior and any workaround in your own words. Never send secrets, customer data, trace payloads, prompts, full stack traces, copied command output, raw arguments, environment-variable values, local paths, or resource identifiers. The CLI adds version/OS/architecture, but does not redact your note; skip it if it cannot be safely redacted.
Choose bug, feature-request, usability, documentation, or other. This is CLI product feedback, not run evaluation feedback. Example shape only—do not submit unless actually encountered:
langsmith feedback --category documentation --format json "The apps template flag rejected a value the documentation lists as valid."
Do not retry a failed or rate-limited feedback submission, switch credentials/endpoints to bypass a failure, or block the original task on feedback.
</cli_feedback>
<check_the_cli_first>
The published docs run ahead of released CLI builds, so read the help output before trusting any command.
langsmith --version
langsmith apps --help
langsmith apps init --help # the --template error message lists the real template set
The gaps below were observed on v0.2.42 and may be closed in your build. Each one is written as a fallback: apply it only when the help output confirms the command is missing or the flag is rejected.
If the docs say
And the CLI disagrees
Then
langsmith apps pull APP_ID_OR_NAME
the apps help lists no pull
fetch the source from the platform API (see <pull_source>)
--template blank
--template must be one of: …
use a listed template; the error message is the current source of truth
init "scaffolds into a new directory named after the app"
<dir> is not empty; pass --force to write anyway
mkdir my-app && cd my-app first — init writes into the current directory
</check_the_cli_first>
mkdir my-app && cd my-app
langsmith apps init --name my-app --template <listed-template> --workspace <ws-uuid>
npm install
export LANGSMITH_API_KEY=<workspace-api-key> # see setup trap 3
langsmith apps dev # live sandbox against LangSmith
npm run build
langsmith apps push --name my-app --workspace <ws-uuid>
apps dev streams the app's failed API calls and uncaught errors to that terminal. Add --verbose for every successful call plus all console.* output, or --quiet to silence it.
apps push builds first when package.json has a build script; --no-build uploads as-is. The first push creates the app and links the directory through .langsmith/app.json; later pushes update that same app. --name only applies on creation, and renames if passed afterwards. Commit .langsmith/app.json so teammates push to the same app.
<pull_source>
When the CLI has no pull, the platform API returns every file inline:
langsmith apps list --workspace <ws-uuid> --format json # find the app id
curl -s -H "X-API-Key: $LANGSMITH_API_KEY" \
"https://api.smith.langchain.com/v1/platform/custom-apps/<app-id>" \
| python3 -c "
import json, os, sys
app = json.load(sys.stdin)
for path, content in app['files'].items():
os.makedirs(os.path.dirname(path) or '.', exist_ok=True)
open(path, 'w').write(content)
print(f\"wrote {len(app['files'])} files\")"
The record also carries name, entrypoint, current_version, scope, created_by, updated_by, and views_7d. Use GET /v1/platform/custom-apps for the whole list.
</pull_source>
<replicate_across_workspaces>
Pull the source into a fresh directory.
Delete .langsmith/app.json. It links the directory to the source app id, so leaving it in place makes the next push update the original app instead of creating one in the target workspace. This is the single most damaging mistake in this workflow.
Re-point anything workspace-specific in the app's config (deep-link workspace UUIDs, project ids, feedback keys) at the target workspace, then rebuild — see <before_sharing_externally> for why editing source alone is not enough.
</replicate_across_workspaces>
<app_facts>
Apps are workspace-scoped ("scope": "workspace"). Someone outside the workspace cannot open the URL, so "share this app" always means shipping source, never a link.
is_enabled: false is the normal state right after a push. It is not a failed deploy — do not debug it as one.
Deleting is langsmith apps delete <app-id-or-name> --yes; it is not recoverable, so confirm the id against apps list first.
</app_facts>
<verify_without_browser>
You cannot click the app, and a bug in its data layer renders as a plausible empty state rather than an error. This loop is the highest-value habit in this skill.
Keep aggregation pure. Parsing and counting live in a module with no React and no window.langsmith (for example src/lib/<domain>.ts); the API module only fetches rows and hands them over.
Read the numbers against the raw data, not just "it ran." A real example: an app counted skill loads by matching paths under /skills/<name>/, but directory listings emit entries as '/memories/skills/auth-sso-scim' with no trailing slash, and the pattern required one. The feature's entire output — the list of never-used skills — came back empty and looked like a legitimately clean result. Only comparing counts against the captured rows exposed it.
Run npx tsc --noEmit and npm run build before every push; the build is what the sandbox serves.
</verify_without_browser>
<query_gotchas>
POST /api/v1/runs/query caps limit at 100. Page with response.cursors.next, impose your own hard page cap so a busy project cannot spin forever, and tell the reader in the UI when that cap truncated a scan.
search(name, "x") is rejected by the filter DSL. Verified working: eq(name, "read_file"), or(eq(name,"a"), eq(name,"b")), eq(run_type, "tool"), eq(is_root, true), eq(status, "error"), gte(start_time, "<iso>"), has(tags, "prod").
Metadata equality is two paired clauses, not eq(metadata.key, …):
Prefer POST /api/v1/runs/stats and POST /api/v1/runs/group/stats for any headline number — server-side aggregates with no row limit — and reserve runs/query for rows you actually need to inspect.
Tool-call inputs arrive in two shapes depending on how the agent serializes them: {"file_path": "/x"} and {"input": "{\"file_path\":\"/x\"}"}. Parse the inner JSON inside a try/catch and handle both, or you will silently count a fraction of the data.
Probe before assuming an endpoint exists. Some things that feel like they must be queryable are not: there is no public endpoint listing an agent's skills or a Fleet roster. When no authoritative list exists, derive one from traces and state that limitation in the UI rather than implying completeness.
Treat everything read from a trace as untrusted: render names as text (never dangerouslySetInnerHTML), validate ids before they reach a filter string, and interpolate only allowlisted values into the DSL.
</query_gotchas>
The scaffold ships the LangSmith design tokens in src/index.css and tailwind.config.js. The sandbox sets html.dark from metadata.mode before every render, so token-based UIs theme for free with no branching — only branch on metadata.mode for inline styles, and re-check it every render since it can change without a remount.
For anything chart-shaped, load the dataviz skill before writing chart code, and express chart colors as CSS custom properties with an html.dark override block so they follow the same theming path as the tokens.
<before_sharing_externally>
Apps are workspace-scoped, so sharing means handing over source. Work from a separate copy, never the directory you push from, and check:
Blank any workspace or org UUID in config — then rebuild. Config values are compiled into dist/bundle.js, so editing the source alone leaves the old value in the artifact.
Remove .langsmith/app.json (internal app id and workspace) and node_modules/ from what you ship.
Grep the tree for UUIDs, email addresses, lsv2_ keys, and internal project names — including example text in the README.
Replace internal-benchmark language with placeholders the recipient is meant to change, and keep only citations you can actually stand behind.
Check package-lock.json for private registry hosts or auth tokens.
Re-run npx tsc --noEmit and npm run build, then grep dist/ again.
</before_sharing_externally>
Account or credentials required
3 FOR YOU
All items below are required.
01
Be on LangSmith's Enterprise plan
Custom Apps require the LangSmith Enterprise plan; a push into a workspace without the feature fails with this workspace doesn't support custom apps.
02
Install the LangSmith command-line tool and get a workspace API key
Install the langsmith CLI (check langsmith --version and langsmith apps --help), export LANGSMITH_API_KEY with a workspace API key (langsmith apps dev cannot use OAuth), and set LANGSMITH_ENDPOINT only when self-hosted.
langsmith --version
langsmith apps --help
You set: LANGSMITH_API_KEY
Optional; you set: LANGSMITH_ENDPOINT
03
Install Node.js and npm for building the app
The scaffold from langsmith apps init is a React and vite project; its packages are installed and its production bundle compiled before langsmith apps push.
Run this outside your AI tool, using Node.js 22.20.0 or newer. Skills CLI 1.7.2 skips skill selection; prompts cancel installation without an interactive terminal. If choosing Project when asked about installation scope, open your project's folder before running this.
Install checklist
Check selected tools if a picker appears; Claude Code may be unchecked under Additional agents. ↑/↓ moves, Space toggles selections, Enter confirms.
Without a tool picker, check Installing to: for your intended tool. Stop if it names a different tool.
If asked, choose Symlink (Recommended) for shared files or Copy to all agents for separate copies; review the summary before confirming installation.
Install the find-skills skill? defaults to Yes, adding another skill for all projects. Choose No if you don't want that extra installation.
Skills CLI 1.7.2 sends install data to skills.sh by default, including the source, skill names, target tools and file details; GitHub sources are reported only when GitHub confirms the repository is public, while other remote sources can also be reported. Confirmed-public GitHub sources also trigger a security-audit request. Before installing, set the environment variable DO_NOT_TRACK=1 or DISABLE_TELEMETRY=1 to disable both.
After installing for Claude Code, open it in the installation project if you chose Project; Global makes the skill available across projects on this computer. Once Claude Code loads the skill, its description helps Claude decide when to use it.
If installation created a top-level skills folder that did not exist when your Claude Code session started, run /reload-skills in that session. Run it again after later changes in that folder.
Install the whole plugin
This route installs the LangSmith Tracing & Evaluation Skills plugin package selected for your AI tool.
PLUGIN MARKETPLACE
Add the marketplace, then install the plugin
Typed inside the agent's own prompt, not in a terminal. The marketplace is called langsmith-skills, which is the part after the @.
INVOKE THIS SKILL when creating evaluation datasets, uploading datasets to LangSmith, or managing existing datasets. Covers dataset types (final_response, single_step, trajectory, RAG), CLI management commands, SDK-based creation, and example management. Uses the langsmith CLI tool.Read full description
INVOKE THIS SKILL when building evaluation pipelines for LangSmith. Covers three core components: (1) Creating Evaluators - LLM-as-Judge, custom code; (2) Defining Run Functions - how to capture outputs and trajectories from your agent; (3) Running Evaluations - locally with evaluate() or auto-run via LangSmith. Uses the langsmith CLI tool.Read full description
Design, test, create, and attach LangSmith online evaluators for production traces or conversation threads. Use for workspace evaluators, run or thread rules, sampling, filters, backfills, and evaluator monitoring; use eval-engineering for Harbor tasks and agent benchmarks.Read full description
INVOKE THIS SKILL when working with LangSmith tracing OR querying traces. Covers adding tracing to applications and querying/exporting trace data. Uses the langsmith CLI tool.Read full description
Official Sentry MCP server for investigating issues, error reports, traces, and performance monitoring data from AI coding agents.Read full description
MCP-PostgreSQL-Ops is a professional MCP server for PostgreSQL database operations, monitoring, and management. Supports PostgreSQL 12-17 with comprehensive database analysis, performance monitoring, and intelligent maintenance recommendations through natural language queries.Read full description