Topic
LLM Observability Platforms
14 posts on llm observability platforms — part of developer tools on the n4n AI blog.
What is LLM observability? A practical definition
What is LLM observability? A practical definition covering tracing, monitoring, and debugging of LLM calls in production, with code examples for engineers building real systems.
W&B Weave for tracking LLM experiments and prompts
A practical guide to using W&B Weave for LLM tracking: instrument prompts, version experiments, capture token usage, and avoid common pitfalls.
Self-hosting Langfuse on your own infrastructure
Step-by-step guide to self-hosting Langfuse on your own infrastructure with Docker Compose, from provisioning to verifying LLM trace ingestion.
Open-source vs hosted LLM observability: the real tradeoffs
A pragmatic head-to-head on open-source vs hosted LLM observability across cost, latency, ergonomics, and ecosystem to guide your architecture.
LangSmith vs Langfuse: comparing LLM observability tools
A head-to-head engineering comparison of LangSmith vs Langfuse across capabilities, cost, latency, ergonomics, and ecosystem, with a verdict per use case.
LangSmith pricing breakdown: cost per trace explained
A practitioner's breakdown of LangSmith pricing: how trace metering, nested spans, and eval jobs inflate real cost per trace for LLM apps.
How to choose an LLM observability platform for your team
A practitioner's guide to choosing an LLM observability platform: evaluate tracing, evaluation, cost tracking, and self-hosting fit for engineering teams.
How Helicone's proxy architecture captures LLM traffic
Engineer's analysis of Helicone proxy architecture: how it intercepts LLM API traffic, tradeoffs vs SDK instrumentation, and when to use it.
Helicone vs Langfuse for LLM observability
Helicone vs Langfuse compared across capabilities, pricing, latency, ergonomics, ecosystem, and limits to help engineers pick the right LLM observability stack.
Five LangSmith alternatives worth evaluating in 2026
A practitioner's comparison of five LangSmith alternatives for LLM observability in 2026, covering Langfuse, Helicone, Phoenix, AgentOps, and OpenLLMetry.
Building a vendor-neutral LLM observability stack
A practical guide to building a vendor-neutral LLM observability stack with OpenTelemetry, avoiding lock-in while tracking cost, latency, and quality.
Arize Phoenix vs W&B Weave: tracing LLM apps head to head
Arize Phoenix vs W&B Weave compared across tracing capabilities, cost, latency, ergonomics, and ecosystem to help engineers pick an LLM observability stack.
Arize Phoenix for open-source LLM evaluation and tracing
A practical guide to setting up Arize Phoenix open-source tracing for LLM evaluation and debugging, with code samples and production tradeoffs.
8 LLM observability platforms compared for 2026
A practitioner's breakdown of eight LLM observability platforms compared for 2026, covering deployment, tracing, cost, and eval tradeoffs for engineers.
More topics in developer tools
- CI/CD Pipelines for LLM Apps15
- LLM Evaluation Frameworks15
- Cost Optimization & Model Routing14
- Debugging Hallucinations & Output Quality14
- LangChain Debugging & Observability14
- Migrating Between LLM Providers14
- Model Deprecation & Version Migration14
- RAG Pipeline Observability14
- Regression Testing for Prompts14
- Compliance & Audit Logging for Regulated Industries13
- CrewAI & AutoGen Multi-Agent Debugging13
- Guardrails & Content Moderation Testing13