arize-migrate-langfuse
De la autor
Migrates LLM observability from Langfuse into Arize AX — historical trace import via OTLP (LF output→output.value, sessionId→session.id), datasets, and prompts (latest or versions + labels). Use when migrating from Langfuse to Arize or importing Langfuse observations into AX.
Instalare
npx skills add Arize-ai/arize-skills --skill arize-migrate-langfuse -a claude-code
Se instalează în .claude/skills/arize-migrate-langfuse/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
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Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 76
aiqbench calculează scorul de încredere din semnale publice. Nu este un audit de securitate, așa că citește un skill înainte să-l instalezi.
Skill-uri similare
Cele mai apropiate de acesta prin ce fac și când sunt folosite.
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- arize-migrate-braintrustArize-ai/arize-skillsMigrates LLM observability from Braintrust into Arize AX — historical trace import via OTLP (BT output→output.value, span_parents, one AX trace per turn + session.id), datasets, and prompts (latest or versions). Use when migrating from Braintrust to Arize or importing Braintrust logs into AX.DevOps★ 69
- arize-instrumentationgithub/awesome-copilotAdds Arize AX tracing to an LLM application for the first time. Follows a two-phase agent-assisted flow to analyze the codebase then implement instrumentation after user confirmation. Use when the user wants to instrument their app, add tracing from scratch, set up LLM observability, integrate OpenTelemetry or openinference, or get started with Arize tracing.DevOps★ 40.8K
- arize-phoenix-migrationArize-ai/arize-skillsMigrate existing Phoenix (PX) traces, datasets, experiments, and stored evaluation results into Arize AX and verify the imported records. Use when users ask to move or copy historical Phoenix data to AX; not for adding live instrumentation or exporting AX data alone.Altele★ 69
- arize-tracegithub/awesome-copilotDownloads, exports, and inspects existing Arize traces and spans to understand what an LLM app is doing or debug runtime issues. Covers exporting traces by ID, spans by ID, sessions by ID, and root-cause investigation using the ax CLI. Use when the user wants to look at existing trace data, see what their LLM app is doing, export traces, download spans, investigate errors, or analyze behavior regressions.Finanțe★ 40.8K
- langfusesickn33/agentic-awesome-skillsExpert in Langfuse - the open-source LLM observability platform. Covers tracing, prompt management, evaluation, datasets, and integration with LangChain, LlamaIndex, and OpenAI. Essential for debugging, monitoring, and improving LLM applications in production.DevOps★ 49.1K
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