Langfuse
SkillDatabases & dataUse Langfuse for LLM observability and evaluation and look up Langfuse documentation. In HybridClaw, data access (traces, observations, sessions, scores, prompts, datasets, metrics) goes through the gateway-proxied langfuse.cjs helper with SecretRef auth — reads are green, writes are grant-gated. Documentation retrieval uses langfuse.com llms.txt, markdown pages, and search-docs. Covers instrumentation, prompt migration, error analysis, and LLM-as-a-judge calibration.
Available today. Use it from your connected AI after setup.
No other account needed.
Connect ahel once, and every AI you use reads what you have installed.
Then ask your AI: use the Langfuse skill
What this skill tells your AI
The instructions your AI receives, as published by hybridaione/hybridclaw in skills/langfuse/SKILL.md and read by ahel’s review.
This skill helps you use Langfuse effectively across all common workflows: instrumenting applications, migrating prompts, debugging traces, accessing data, and evaluating outputs.
HybridClaw integration. This is the official Langfuse skill (github.com/langfuse/skills, MIT) adapted for HybridClaw. Two things differ from the upstream skill:
- Credentials never leave the gateway. Do not export
LANGFUSE_PUBLIC_KEY/LANGFUSE_SECRET_KEY, runnpx langfuse-cli, or paste keys anywhere. Store them once in the runtime stores (below); the gateway injects them server-side.- Data access goes through
langfuse.cjs, not the Langfuse CLI. The helper builds each REST request and sends it through the HybridClaw gateway, which resolvesAuthorization: Basic <secret:LANGFUSE_BASIC_AUTH>and the<env:LANGFUSE_HOST>base URL. Wherever a reference says to runlangfuse-cliorcurl -H "Authorization: Basic $AUTH", use the helper instead. Documentation retrieval (section 2) is unchanged.
HybridClaw setup
The helper never sees credentials. Store two values once. For secrets, use this order:
-
Browser admin: open the active HybridClaw admin URL ending in
/admin/secrets. -
Browser
/chator TUI fallback. -
Local console fallback.
-
LANGFUSE_BASIC_AUTH— base64 ofpublic-key:secret-key:/secret set LANGFUSE_BASIC_AUTH "<base64-public-colon-secret>" -
LANGFUSE_HOST— your Langfuse base URL:/env set LANGFUSE_HOST https://cloud.langfuse.com(usehttps://us.cloud.langfuse.comfor US,https://jp.cloud.langfuse.comfor JP, or your self-hosted origin).
Local console fallback: hybridclaw secret set LANGFUSE_BASIC_AUTH "<...>"
and hybridclaw env set LANGFUSE_HOST https://cloud.langfuse.com.
See references/operator-setup.md for key scope, host selection, autonomy defaults, and network-policy notes.
Core Principles
Follow these principles for ALL Langfuse work:
- Documentation first: never implement from memory. Langfuse updates frequently — fetch current docs (section 2) before writing instrumentation or SDK code.
- Helper for data access: use
langfuse.cjs(gateway + SecretRef) when querying or modifying Langfuse data. It owns endpoints, methods, bodies, stakes tiers, host, and the Basic auth placeholder. - Best practices by use case: check the relevant reference below before implementing.
- Use latest Langfuse versions: unless the user says otherwise, target the latest Langfuse SDKs/APIs.
Use-case references
- instrumenting an existing function/application: references/instrumentation.md
- migrating prompts from a codebase into Langfuse: references/prompt-migration.md
- capturing user feedback (thumbs, ratings, implicit signals) as scores: references/user-feedback.md
- systematic error analysis — reading traces, building a failure taxonomy, deciding what to fix: references/error-analysis.md
- judge calibration (LLM-as-a-Judge reliability, accuracy checks, confusion matrices, metric ingestion): references/judge-calibration.md
- upgrading or migrating Langfuse SDKs: references/sdk-upgrade.md
- CI/CD experiment gates with
langfuse/experiment-action: references/ci-cd.md - raw Langfuse REST/CLI semantics (endpoints, pagination, v2 vs legacy): references/cli.md
- HybridClaw credential, host, autonomy, and network-policy setup: references/operator-setup.md
- submitting feedback about this skill: references/skill-feedback.md
1. Langfuse data access (HybridClaw gateway helper)
langfuse.cjs is the API wrapper. Do not handcraft Langfuse API URLs, JSON
bodies, tiers, host, or the Basic auth header from memory.
node skills/langfuse/langfuse.cjs --help
- plan classifies a natural-language request into an operation + tier:
node skills/langfuse/langfuse.cjs --format json plan "average eval score this week" - run executes a live request through the gateway (the gateway injects the
Basic auth header):
node skills/langfuse/langfuse.cjs --format json run list-traces --user-id alice --limit 50 - http-request emits the gateway-ready payload without calling Langfuse — use it for dry-run inspection or runtimes without helper gateway access.
Read examples (green):
node skills/langfuse/langfuse.cjs --format json run get-trace --trace-id abc123
node skills/langfuse/langfuse.cjs --format json run list-observations --type GENERATION --trace-id abc123
node skills/langfuse/langfuse.cjs --format json run list-scores --name quality
node skills/langfuse/langfuse.cjs --format json run get-prompt --prompt-name support-reply --label production
node skills/langfuse/langfuse.cjs --format json run metrics --query '{"view":"traces","metrics":[{"measure":"count","aggregation":"count"}]}'
Guarded write examples (amber — only after an explicit operator grant):
node skills/langfuse/langfuse.cjs --format json run create-score \
--trace-id abc123 --name quality --value 0.8 --data-type NUMERIC --comment "reviewed" --operator-grant
node skills/langfuse/langfuse.cjs --format json run create-prompt \
--name summarizer --type text --prompt "Summarize: {{input}}" --label production --operator-grant
Select region or self-hosted host explicitly (otherwise <env:LANGFUSE_HOST>):
node skills/langfuse/langfuse.cjs --format json run list-traces --host https://us.cloud.langfuse.com
Working rules
- Reads are green. Writes (
create-score,create-comment,create-dataset,create-dataset-item,create-prompt) require--operator-grant: produce a plan, wait for the operator's grant, then run the exact approved command. - Deletions and project / API-key / organization / SCIM administration are out of scope. Use the Langfuse UI for those.
- Page size is capped at 100; use
--page(legacy) or--cursor(modern endpoints) to paginate. The helper rejects--limitabove 100. - Trace reads use Langfuse's v2 Observations API.
list-tracesreturns logical root observation rows (one application root per trace);get-tracereturns every observation row sharing the requested trace ID. Followmeta.cursorwith--cursorwhen more rows are available. - Langfuse v4 has no separate trace-level
input/output. Reconstruct them from the root observation; prompts and outputs may instead live on a childGENERATIONobservation. - Before creating a score config, list existing ones (
list-score-configs); configs cannot be deleted. - Never print, inspect, or ask for
LANGFUSE_BASIC_AUTH; the gateway injects it asAuthorization: Basic <secret:LANGFUSE_BASIC_AUTH>. - Cost per assistant run is recorded by HybridClaw
UsageTotals; helper output includescostMeasurement.system = "UsageTotals"for eval verification.
2. Langfuse documentation
Prefer your application's native web fetch/search tools (e.g. web_fetch,
web_search) over curl. The URLs work with any fetching method.
2a. Documentation index (llms.txt)
Fetch the full index of doc pages, then fetch the right one:
curl -s https://langfuse.com/llms.txt
2b. Fetch individual pages as markdown
Append .md to any doc path (or send Accept: text/markdown):
curl -s "https://langfuse.com/docs/observability/overview.md"
2c. Search documentation
When you don't know the page (also indexes GitHub issues/discussions):
curl -s "https://langfuse.com/api/search-docs?query=How+do+I+trace+LangGraph+agents"
Workflow: start with llms.txt to orient → fetch the specific page → fall back to search when the topic is unclear.
Eval suite
node skills/langfuse/langfuse.cjs --format json eval-scenarios
The fixture at evals/scenarios.json contains 10 scenarios covering trace,
observation, session, score, metric, prompt, and dataset reads plus guarded
score, dataset, and prompt writes.
Skill feedback
If the skill gives wrong or outdated guidance, is missing something, or could be improved, offer to submit feedback to the Langfuse skill maintainers following references/skill-feedback.md. Do not trigger this for issues with Langfuse the product — only this skill's instructions.
Attribution
Adapted from the official Langfuse skill
(github.com/langfuse/skills), MIT-licensed,
with HybridClaw gateway/SecretRef data access in place of the upstream
langfuse-cli + plaintext-key path. See NOTICE.md.
Validation
python3 skills/skill-creator/scripts/quick_validate.py skills/langfuse
node skills/langfuse/langfuse.cjs --help
node skills/langfuse/langfuse.cjs --format json eval-scenarios
Signals
- GitHub stars
- 132
- Forks
- 12
- Last commit
- Sep 2026
Advanced
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langfuse-hybridaione- Source
- github.com/hybridaione/hybridclaw