langfuse
FeaturedInteract with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically via the CLI — traces, prompts, datasets, scores, sessions, and any other API resource, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. This skill covers CLI-based API access (via bunx) and multiple documentation retrieval methods.
Install
Quality Score: 91/100
Skill Content
Details
- Author
- KonghaYao
- Repository
- KonghaYao/peri
- Created
- 5 months ago
- Last Updated
- 2 days ago
- Language
- Rust
- License
- Apache-2.0
Integrates with
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langfuse
Interact with Langfuse and access its documentation. Use when needing to (1) query or modify Langfuse data programmatically — traces, prompts, scores, sessions, observations, (2) look up Langfuse documentation, concepts, integration guides, or SDK usage, or (3) understand how any Langfuse feature works. Works against self-hosted and cloud Langfuse, on both the legacy v1 REST API (server major <= 3) and the v2/v3 read APIs (server major >= 4).
langfuse
Use 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.
langfuse
This skill should be used when the user asks to "manage Langfuse prompts", "view traces", "check LLM observations", "query Langfuse", "list prompts", "get trace details", "create scores", "analyze LLM performance", "查看 LLM 追蹤記錄", "列出 Langfuse prompts", "分析 LLM 用量", "查 traces", "查 Langfuse", or mentions Langfuse, prompt management, LLM observability, or trace analysis.