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langfuse-docs discussion
langfuse-docs reviews and mentions
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What is an LLM evaluation harness? A deep dive into lm-eval-harness
You're monitoring production traffic. You need Langfuse / Phoenix / Helicone / Braintrust for that. Online eval is a different problem class: implicit feedback, drift detection, hallucination rates on your data, not on HellaSwag.
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How to track LLM costs per customer in production
Gateway or proxy attribution. A reverse proxy in front of the model-provider API records the request, computes the cost, and exposes per-customer breakdowns. Open-source options include Helicone, LiteLLM, Langfuse, and OpenLLMetry. Hosted equivalents serve as the AI cost observability layer for teams that want centralized visibility: LangSmith, Datadog LLM Observability, Arize Phoenix. Adds a network hop. Centralizes instrumentation across a fleet of services.
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I scanned Langfuse. It observes its own LLM calls through its own platform.
Today: Langfuse — open source LLM observability platform. YC W23. 8K+ stars.
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Per-user cost attribution for your AI APP
Same approach works with Langfuse, Phoenix, Braintrust, or your existing OTel pipeline — the metadata.userId pattern is the universal part.
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Security in the Age of Coding Agents
Harness-level logging and traces. If you're running agents through an orchestration layer - LangChain, LangGraph, CrewAI, or similar - ship traces to an observability tool. Langfuse is a solid open-source option for LLM tracing: every tool call, every input/output, timestamped. That's your audit trail. You really appreciate when the investigation "what did the agent do and when?" takes less than a minute
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5 Things That Go Horribly Wrong When You Run AI Agents Without a Gateway (And How to Stop the Bleeding)
Langfuse — Similar story. Great traces, helpful for the post-mortem. Not built to enforce budget ceilings.
- Simple DEV Blog Post Writer with LangGraph Multi Agents with Memory, AWS Bedrock Nova: Generator & Evaluator Pattern
- Skills vs Tools vs Rules vs MCP Tools: Hands-On with Langchain, AWS Bedrock Nova
- Langchain Agent with Structured Tools Schema & Langfuse using AWS Bedrock Nova 🤖
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How to Build Your First AI Agent: A Step-by-Step Tutorial
Langfuse -- Open-source LLM observability.
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A note from our sponsor - Kargo
akuity.io | 4 Sep 2026
Stats
langfuse/langfuse-docs is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of langfuse-docs is MDX.