# LLM Tools

> Independent comparisons of LLM evaluation and observability tools

## About

We instrument the same application across every LLM observability and eval platform, then publish what each one actually captures, what it costs, and where it breaks. Independent, hands-on testing. No vendor influence.

## Tools We Review

We review 73 tools across 6 categories:

- Observability & Tracing: Langfuse, Opik, Pydantic Logfire, Arize AX, Arize Phoenix, Galileo, HoneyHive, Laminar, MLflow, OpenLIT, SigNoz, W&B Weave, Datadog LLM Observability, LangSmith, Langtrace, Lunary, Traceloop, Helicone, New Relic AI Monitoring, Sentry, WhyLabs, Literal AI
- Eval Frameworks: Inspect AI, Braintrust, Confident AI, Confident AI (DeepEval), Evidently, Giskard, LM Evaluation Harness, Patronus AI, Promptfoo, Ragas, Openlayer, TruLens, UpTrain, OpenAI Evals, Gentrace
- Prompt Management: Agenta, Freeplay, Latitude, PromptLayer, Langtail, Parea AI, PromptHub, Pezzo, Baserun, Vellum
- Guardrails & Safety: Arthur, Fiddler AI, Guardrails AI, HiddenLayer, Lakera, NVIDIA NeMo Guardrails, Aporia, CalypsoAI, Prompt Security, LLM Guard
- LLM Gateways: LiteLLM, Cloudflare AI Gateway, Not Diamond, OpenRouter, Portkey, TrueFoundry, Vercel AI Gateway, Kong AI Gateway, Martian
- Agent Evaluation: LangWatch, AgentOps, Azure AI Foundry Evaluation, Databricks Agent Evaluation, Vertex AI Gen AI Evaluation Service, Maxim AI, Amazon Bedrock Evaluations

## Pages

- Homepage: https://llmtools.cc/
- Blog: https://llmtools.cc/blog/
- Learn: https://llmtools.cc/learn/
- Glossary: https://llmtools.cc/glossary/
- About: https://llmtools.cc/about/
- Editorial Policy: https://llmtools.cc/editorial-policy/
- RSS Feed: https://llmtools.cc/rss.xml
- Sitemap: https://llmtools.cc/sitemap-index.xml

## Tool Reviews

- Inspect AI: https://llmtools.cc/tool/inspect-ai/
- Langfuse: https://llmtools.cc/tool/langfuse/
- LangWatch: https://llmtools.cc/tool/langwatch/
- LiteLLM: https://llmtools.cc/tool/litellm/
- Opik: https://llmtools.cc/tool/opik/
- Pydantic Logfire: https://llmtools.cc/tool/pydantic-logfire/
- Agenta: https://llmtools.cc/tool/agenta/
- AgentOps: https://llmtools.cc/tool/agentops/
- Arize AX: https://llmtools.cc/tool/arize-ax/
- Arize Phoenix: https://llmtools.cc/tool/arize-phoenix/
- Arthur: https://llmtools.cc/tool/arthur/
- Azure AI Foundry Evaluation: https://llmtools.cc/tool/azure-ai-foundry-evaluation/
- Braintrust: https://llmtools.cc/tool/braintrust/
- Cloudflare AI Gateway: https://llmtools.cc/tool/cloudflare-ai-gateway/
- Confident AI: https://llmtools.cc/tool/confident-ai/
- Databricks Agent Evaluation: https://llmtools.cc/tool/databricks-agent-evaluation/
- Confident AI (DeepEval): https://llmtools.cc/tool/deepeval/
- Evidently: https://llmtools.cc/tool/evidently/
- Fiddler AI: https://llmtools.cc/tool/fiddler/
- Freeplay: https://llmtools.cc/tool/freeplay/
- Galileo: https://llmtools.cc/tool/galileo/
- Giskard: https://llmtools.cc/tool/giskard/
- Guardrails AI: https://llmtools.cc/tool/guardrails-ai/
- HiddenLayer: https://llmtools.cc/tool/hiddenlayer/
- HoneyHive: https://llmtools.cc/tool/honeyhive/
- Lakera: https://llmtools.cc/tool/lakera/
- Laminar: https://llmtools.cc/tool/laminar/
- Latitude: https://llmtools.cc/tool/latitude/
- LM Evaluation Harness: https://llmtools.cc/tool/lm-evaluation-harness/
- MLflow: https://llmtools.cc/tool/mlflow/
- NVIDIA NeMo Guardrails: https://llmtools.cc/tool/nemo-guardrails/
- Not Diamond: https://llmtools.cc/tool/not-diamond/
- OpenLIT: https://llmtools.cc/tool/openlit/
- OpenRouter: https://llmtools.cc/tool/openrouter/
- Patronus AI: https://llmtools.cc/tool/patronus-ai/
- Portkey: https://llmtools.cc/tool/portkey/
- Promptfoo: https://llmtools.cc/tool/promptfoo/
- PromptLayer: https://llmtools.cc/tool/promptlayer/
- Ragas: https://llmtools.cc/tool/ragas/
- SigNoz: https://llmtools.cc/tool/signoz/
- TrueFoundry: https://llmtools.cc/tool/truefoundry/
- Vercel AI Gateway: https://llmtools.cc/tool/vercel-ai-gateway/
- Vertex AI Gen AI Evaluation Service: https://llmtools.cc/tool/vertex-ai-evaluation/
- W&B Weave: https://llmtools.cc/tool/wandb-weave/
- Maxim AI: https://llmtools.cc/tool/maxim/
- Aporia: https://llmtools.cc/tool/aporia/
- Amazon Bedrock Evaluations: https://llmtools.cc/tool/bedrock-evaluations/
- CalypsoAI: https://llmtools.cc/tool/calypsoai/
- Datadog LLM Observability: https://llmtools.cc/tool/datadog-llm-observability/
- Kong AI Gateway: https://llmtools.cc/tool/kong-ai-gateway/
- LangSmith: https://llmtools.cc/tool/langsmith/
- Langtail: https://llmtools.cc/tool/langtail/
- Langtrace: https://llmtools.cc/tool/langtrace/
- Lunary: https://llmtools.cc/tool/lunary/
- Openlayer: https://llmtools.cc/tool/openlayer/
- Parea AI: https://llmtools.cc/tool/parea-ai/
- Prompt Security: https://llmtools.cc/tool/prompt-security/
- PromptHub: https://llmtools.cc/tool/prompthub/
- Traceloop: https://llmtools.cc/tool/traceloop/
- TruLens: https://llmtools.cc/tool/trulens/
- UpTrain: https://llmtools.cc/tool/uptrain/
- Helicone: https://llmtools.cc/tool/helicone/
- LLM Guard: https://llmtools.cc/tool/llm-guard/
- Martian: https://llmtools.cc/tool/martian/
- New Relic AI Monitoring: https://llmtools.cc/tool/new-relic-ai-monitoring/
- OpenAI Evals: https://llmtools.cc/tool/openai-evals/
- Pezzo: https://llmtools.cc/tool/pezzo/
- Sentry: https://llmtools.cc/tool/sentry/
- WhyLabs: https://llmtools.cc/tool/whylabs/
- Baserun: https://llmtools.cc/tool/baserun/
- Gentrace: https://llmtools.cc/tool/gentrace/
- Literal AI: https://llmtools.cc/tool/literal-ai/
- Vellum: https://llmtools.cc/tool/vellum/

## Blog Posts

- Agentic AI Evaluation Metrics: The Complete Reference: https://llmtools.cc/blog/agentic-ai-evaluation-metrics/
- Evaluating Tool Calls: Metrics, Code and Templates: https://llmtools.cc/blog/evaluating-tool-calls/
- LLM Evaluation Guide: Metrics, Methods and Workflow: https://llmtools.cc/blog/llm-evaluation-guide/
- AI Agent Observability with Langfuse: 2026 Guide: https://llmtools.cc/blog/ai-agent-observability-with-langfuse/
- Evaluation of LLM Applications: A Practical 2026 Guide: https://llmtools.cc/blog/evaluation-of-llm-applications/
- 10 Observability Signals for Multi-Step LLM Systems: https://llmtools.cc/blog/observability-multi-step-llm-systems/
- BLEU vs ROUGE vs BERTScore - Which to Use and Why All Three Fail on Chat: https://llmtools.cc/blog/bleu-rouge-bertscore-comparison/
- Context Precision vs Recall Explained - Diagnosing RAG Retrieval in 2026: https://llmtools.cc/blog/context-precision-vs-recall-explained/
- The Faithfulness Metric Explained - How to Catch RAG Hallucination in 2026: https://llmtools.cc/blog/faithfulness-metric-explained/
- G-Eval Explained - How Chain-of-Thought LLM Scoring Works in 2026: https://llmtools.cc/blog/g-eval-explained/
- How to Detect Prompt Injection in 2026 - Guardrails, Eval Tests and Red-Teaming: https://llmtools.cc/blog/how-to-detect-prompt-injection/
- How to Evaluate AutoGen Agents in 2026 - Multi-Turn Runs, Loop Convergence and Termination: https://llmtools.cc/blog/how-to-evaluate-autogen-agents/
- How to Evaluate CrewAI Agents in 2026 - Task Completion, Handoffs and Per-Agent Scoring: https://llmtools.cc/blog/how-to-evaluate-crewai-agents/
- How to Evaluate LLM Summarization in 2026 - A Practical Guide: https://llmtools.cc/blog/how-to-evaluate-llm-summarization/
- How to Evaluate Multi-Turn Conversations in LLM Apps (2026): https://llmtools.cc/blog/how-to-evaluate-multi-turn-conversations/
- How to Evaluate RAG Chunking in 2026 - Test Chunk Size and Strategy: https://llmtools.cc/blog/how-to-evaluate-rag-chunking/
- How to Generate Synthetic Data for LLM Evaluation in 2026: https://llmtools.cc/blog/how-to-generate-synthetic-eval-data/
- How to Measure Tool-Calling Accuracy in AI Agents (2026): https://llmtools.cc/blog/how-to-measure-tool-calling-accuracy/
- How to Red-Team an LLM in 2026 - A Step-by-Step Workflow: https://llmtools.cc/blog/how-to-red-team-an-llm/
- How to Reduce LLM Hallucinations in 2026 - Techniques That Actually Work: https://llmtools.cc/blog/how-to-reduce-llm-hallucinations/
- How to Trace the Anthropic Claude API in 2026 - Three Ways to Add Observability and Cost Tracking: https://llmtools.cc/blog/how-to-trace-anthropic-claude-api/
- How to Trace LangGraph Agents in 2026 - Node-Level Spans, Loops and Failure Debugging: https://llmtools.cc/blog/how-to-trace-langgraph/
- How to Trace a LlamaIndex RAG App in 2026 - Three Ways, With Setup: https://llmtools.cc/blog/how-to-trace-llamaindex/
- OWASP Top 10 for LLM Applications Explained (2026): https://llmtools.cc/blog/owasp-top-10-llm-explained/
- What Is a Golden Dataset for LLM Evaluation? (2026): https://llmtools.cc/blog/what-is-a-golden-dataset/
- What Is Semantic Caching for LLMs? (2026): https://llmtools.cc/blog/what-is-semantic-caching/
- AI Agent Testing - A Practical Engineering Playbook (2026): https://llmtools.cc/blog/ai-agent-testing/
- 5 Arize Phoenix Alternatives for Permissive Self-Hosting in 2026: https://llmtools.cc/blog/arize-phoenix-alternatives/
- Arize Pricing in 2026 - Phoenix Is Free, AX Is a Sales Call: https://llmtools.cc/blog/arize-pricing/
- How to Benchmark AI Agents in 2026 - The Tools and the Method: https://llmtools.cc/blog/benchmark-ai-agents/
- The Best AI Agent Observability Tools in 2026, Ranked for Multi-Step and Browser Agents: https://llmtools.cc/blog/best-ai-agent-observability-tools/
- The Cheapest LLM Observability Tools in 2026, Ranked by Real Cost: https://llmtools.cc/blog/best-budget-llm-observability-tools/
- The Best Free LLM Observability Tools in 2026, Ranked by What "Free" Actually Buys You: https://llmtools.cc/blog/best-free-llm-observability-tools/
- The Best LangSmith Alternatives in 2026, Ranked by Why Teams Actually Leave: https://llmtools.cc/blog/best-langsmith-alternatives/
- The Best LLM Eval Frameworks in 2026, Ranked for How You Actually Test: https://llmtools.cc/blog/best-llm-eval-frameworks/
- The Best LLM Eval Tools for Chatbots in 2026, by Use Case: https://llmtools.cc/blog/best-llm-eval-tools-for-chatbots/
- The Best LLM Eval Tools for Enterprise in 2026, by Use Case: https://llmtools.cc/blog/best-llm-eval-tools-for-enterprise/
- The Best LLM Eval Tools for Production in 2026, Ranked: https://llmtools.cc/blog/best-llm-eval-tools-for-production/
- The Best LLM Eval Tools for Python in 2026, Judged by a Python Team: https://llmtools.cc/blog/best-llm-eval-tools-for-python/
- The Best LLM Eval Tools for Startups in 2026, by Use Case: https://llmtools.cc/blog/best-llm-eval-tools-for-startups/
- The Best LLM Guardrails Tools in 2026, by Where They Actually Run: https://llmtools.cc/blog/best-llm-guardrails-tools/
- The Best LLM Monitoring Tools in 2026, Ranked for Production Cost and Reliability: https://llmtools.cc/blog/best-llm-monitoring-tools/
- The Best LLM Observability for LangChain in 2026, by Use Case: https://llmtools.cc/blog/best-llm-observability-for-langchain/
- The Best LLM Observability for OpenAI Apps in 2026, by Use Case: https://llmtools.cc/blog/best-llm-observability-for-openai/
- The Best LLM Tracing Tools in 2026, Ranked by OpenTelemetry Depth: https://llmtools.cc/blog/best-llm-tracing-tools/
- The Best Open-Source LLM Observability Tools in 2026, Ranked by License Reality: https://llmtools.cc/blog/best-open-source-llm-observability-tools/
- The Best OpenTelemetry LLM Observability Tools in 2026, Ranked: https://llmtools.cc/blog/best-opentelemetry-llm-tools/
- The Best Prompt Management Tools in 2026, Ranked for Versioning and Team Workflow: https://llmtools.cc/blog/best-prompt-management-tools/
- The Best RAG Evaluation Tools in 2026, Ranked by an Engineer Who Scores Retrieval for a Living: https://llmtools.cc/blog/best-rag-evaluation-tools/
- The Best Self-Hosted LLM Observability Tools in 2026, Ranked by License and Ops Reality: https://llmtools.cc/blog/best-self-hosted-llm-observability/
- Braintrust Pricing Explained (2026) - The Processed-Data Trap: https://llmtools.cc/blog/braintrust-pricing/
- Braintrust vs Arize Phoenix in 2026 - Eval Platform or OSS Tracer?: https://llmtools.cc/blog/braintrust-vs-arize-phoenix/
- Braintrust vs DeepEval in 2026 - The Honest Eval Platform Comparison: https://llmtools.cc/blog/braintrust-vs-deepeval/
- Braintrust vs LangSmith 2026 - Turnkey Evals vs LangChain Depth: https://llmtools.cc/blog/braintrust-vs-langsmith/
- Build vs Buy LLM Observability in 2026 - The Honest Decision Guide: https://llmtools.cc/blog/build-vs-buy-llm-observability/
- 5 DeepEval Alternatives That Cut the LLM-Judge Bill in 2026: https://llmtools.cc/blog/deepeval-alternatives/
- DeepEval Pricing Explained (2026) - What You Actually Pay: https://llmtools.cc/blog/deepeval-pricing/
- DeepEval vs Langfuse in 2026 - Test Runner or Trace Store?: https://llmtools.cc/blog/deepeval-vs-langfuse/
- DeepEval vs Promptfoo in 2026 - Pytest or YAML for LLM Evals: https://llmtools.cc/blog/deepeval-vs-promptfoo/
- DeepEval vs Promptfoo vs Braintrust in 2026 - The Eval Tool Showdown: https://llmtools.cc/blog/deepeval-vs-promptfoo-vs-braintrust/
- 5 Galileo Alternatives With Real Self-Host and Public Pricing (2026): https://llmtools.cc/blog/galileo-alternatives/
- Galileo Pricing Explained (2026) - What You Actually Pay: https://llmtools.cc/blog/galileo-pricing/
- Galileo vs Arize Phoenix in 2026 - Enterprise Eval Intelligence vs Open-Source OTel: https://llmtools.cc/blog/galileo-vs-arize-phoenix/
- Galileo vs Langfuse in 2026 - Enterprise Eval Intelligence or Open-Source Default?: https://llmtools.cc/blog/galileo-vs-langfuse/
- Helicone Pricing in 2026 - Decoded, and Why the Meter Is a Mystery: https://llmtools.cc/blog/helicone-pricing/
- How to Build an LLM Eval Pipeline in 2026 - A Practical Guide: https://llmtools.cc/blog/how-to-build-an-llm-eval-pipeline/
- How to Evaluate AI Agents in 2026 - A Vendor-Neutral Guide: https://llmtools.cc/blog/how-to-evaluate-ai-agents/
- How to Evaluate LLM Applications in 2026 - A Practical Guide: https://llmtools.cc/blog/how-to-evaluate-llm-applications/
- How to Evaluate a RAG System in 2026 - A Practical Step-by-Step Guide: https://llmtools.cc/blog/how-to-evaluate-rag/
- How to Measure LLM Hallucination in 2026 - A Practical Guide: https://llmtools.cc/blog/how-to-measure-llm-hallucination/
- How to Monitor an LLM in Production in 2026 - The Full Workflow: https://llmtools.cc/blog/how-to-monitor-llm-in-production/
- How to Reduce LLM Costs in 2026 - 6 Levers That Actually Move the Bill: https://llmtools.cc/blog/how-to-reduce-llm-costs/
- LLM Regression Testing in 2026 - How to Catch Quality Drops Before They Ship: https://llmtools.cc/blog/how-to-run-llm-regression-tests/
- How to Self-Host Langfuse in 2026 - The Honest Setup Guide: https://llmtools.cc/blog/how-to-self-host-langfuse/
- How to Set Up LLM Tracing in 2026 - A Practical Guide: https://llmtools.cc/blog/how-to-set-up-llm-tracing/
- How to Trace OpenAI API Calls in 2026 - Three Ways, Ranked: https://llmtools.cc/blog/how-to-trace-openai-api-calls/
- How to Version Prompts in 2026 - A Practical Guide for LLM Teams: https://llmtools.cc/blog/how-to-version-prompts/
- Is Langfuse Worth It in 2026? An Honest Verdict After the Hype: https://llmtools.cc/blog/is-langfuse-worth-it/
- 4 Laminar Alternatives With Pricing You Can Forecast (2026): https://llmtools.cc/blog/laminar-alternatives/
- Laminar Pricing Explained (2026) - What You Actually Pay: https://llmtools.cc/blog/laminar-pricing/
- Laminar vs Langfuse in 2026 - Which Open-Source Tracer Wins for Your Stack: https://llmtools.cc/blog/laminar-vs-langfuse/
- The Langfuse Free Tier Explained in 2026 - Limits, Cap and When to Leave: https://llmtools.cc/blog/langfuse-free-tier-explained/
- How to Integrate Langfuse with LangChain in 2026 - A Practical Guide: https://llmtools.cc/blog/langfuse-langchain-integration/
- Langfuse Pricing Explained (2026) - What You Actually Pay: https://llmtools.cc/blog/langfuse-pricing/
- Langfuse vs Arize Phoenix in 2026 - License vs Eval Depth: https://llmtools.cc/blog/langfuse-vs-arize-phoenix/
- Langfuse vs Braintrust 2026 - Open Self-Host vs Turnkey Evals: https://llmtools.cc/blog/langfuse-vs-braintrust/
- Langfuse vs Datadog for LLM Observability (2026) - An Honest Head-to-Head: https://llmtools.cc/blog/langfuse-vs-datadog/
- Langfuse vs Helicone in 2026 - Why One of These Is a Dead End: https://llmtools.cc/blog/langfuse-vs-helicone/
- Langfuse vs Helicone vs Opik in 2026 - And Why One Is Off the Table: https://llmtools.cc/blog/langfuse-vs-helicone-vs-opik/
- Langfuse vs LangSmith in 2026 - The Honest Head-to-Head: https://llmtools.cc/blog/langfuse-vs-langsmith/
- Langfuse vs LangSmith vs Braintrust in 2026 - Pick by What You Actually Need: https://llmtools.cc/blog/langfuse-vs-langsmith-vs-braintrust/
- LangSmith Pricing Explained (2026) - Why the Bill Explodes at Scale: https://llmtools.cc/blog/langsmith-pricing/
- LangSmith vs Arize Phoenix in 2026 - Turnkey and Pricey vs Open and OTel-Native: https://llmtools.cc/blog/langsmith-vs-arize-phoenix/
- LangSmith vs Helicone in 2026 - Neither Is the Obvious Answer: https://llmtools.cc/blog/langsmith-vs-helicone/
- LangSmith vs Opik in 2026 - Turnkey and Closed vs Cheap and Open: https://llmtools.cc/blog/langsmith-vs-opik/
- LLM as a Judge in 2026 - A Practical Guide That Actually Works: https://llmtools.cc/blog/llm-as-a-judge-guide/
- LLM Evaluation Metrics Explained - A Practical 2026 Guide: https://llmtools.cc/blog/llm-evaluation-metrics-explained/
- LLM Observability Best Practices for 2026 - 8 Rules That Save You a Rewrite: https://llmtools.cc/blog/llm-observability-best-practices/
- LLM Observability vs Monitoring - What's the Difference in 2026?: https://llmtools.cc/blog/llm-observability-vs-monitoring/
- LLM Tracing vs Logging - What's the Difference? (2026 Guide): https://llmtools.cc/blog/llm-tracing-vs-logging/
- 4 Maxim Alternatives That Skip the Double Billing in 2026: https://llmtools.cc/blog/maxim-alternatives/
- Maxim Pricing Explained (2026) - What You Actually Pay: https://llmtools.cc/blog/maxim-pricing/
- Maxim vs Braintrust in 2026 - Agent Simulation vs Regression Gates: https://llmtools.cc/blog/maxim-vs-braintrust/
- Maxim vs Langfuse in 2026 - Agent Simulation vs the Open-Source Default: https://llmtools.cc/blog/maxim-vs-langfuse/
- 3 OpenRouter Alternatives for Teams That Outgrew the Hosted Router (2026): https://llmtools.cc/blog/openrouter-alternatives/
- OpenTelemetry for LLM Observability in 2026 - A Practical Guide: https://llmtools.cc/blog/opentelemetry-for-llm-observability/
- 5 Opik Alternatives Worth Switching To in 2026: https://llmtools.cc/blog/opik-alternatives/
- Opik Pricing in 2026 - The Cheapest Cloud, Decoded: https://llmtools.cc/blog/opik-pricing/
- Opik vs Arize Phoenix in 2026 - The License Decides It: https://llmtools.cc/blog/opik-vs-arize-phoenix/
- Opik vs Braintrust in 2026 - Cheapest Open Source vs Best Turnkey Evals: https://llmtools.cc/blog/opik-vs-braintrust/
- Opik vs Helicone in 2026 - One Is Growing, One Is Winding Down: https://llmtools.cc/blog/opik-vs-helicone/
- Opik vs Langfuse in 2026 - The Two Open-Source Defaults, Compared: https://llmtools.cc/blog/opik-vs-langfuse/
- 4 Portkey Alternatives When You Actually Wanted Observability (2026): https://llmtools.cc/blog/portkey-alternatives/
- Portkey Pricing Explained (2026) - What You Actually Pay: https://llmtools.cc/blog/portkey-pricing/
- Portkey vs Helicone in 2026 - Why This Comparison Already Has a Winner: https://llmtools.cc/blog/portkey-vs-helicone/
- Portkey vs Langfuse in 2026 - Gateway or Observability Platform?: https://llmtools.cc/blog/portkey-vs-langfuse/
- 4 Promptfoo Alternatives for a Vendor-Neutral Eval Stack in 2026: https://llmtools.cc/blog/promptfoo-alternatives/
- Promptfoo Pricing in 2026 - What's Actually Free and When You Pay: https://llmtools.cc/blog/promptfoo-pricing/
- Promptfoo vs Langfuse in 2026 - Which One You Actually Need: https://llmtools.cc/blog/promptfoo-vs-langfuse/
- RAG Evaluation Metrics Explained - The 2026 Practical Guide: https://llmtools.cc/blog/rag-evaluation-metrics-explained/
- What Are LLM Evals? A Plain-English 2026 Guide: https://llmtools.cc/blog/what-are-llm-evals/
- What Is LLM-as-a-Judge? How AI Grades AI Output in 2026: https://llmtools.cc/blog/what-is-llm-as-a-judge/
- What Is LLM Evaluation? How to Measure AI Output Quality in 2026: https://llmtools.cc/blog/what-is-llm-evaluation/
- What Is LLM Observability? A Plain-English Guide for 2026: https://llmtools.cc/blog/what-is-llm-observability/
- What Is LLM Tracing? How to See Inside an AI Request in 2026: https://llmtools.cc/blog/what-is-llm-tracing/
- What Is Prompt Management? A Practical 2026 Guide: https://llmtools.cc/blog/what-is-prompt-management/
- The Best LLM Observability Tools in 2026, Ranked and Road-Tested: https://llmtools.cc/blog/best-llm-observability-tools/
- 4 Braintrust Alternatives That Bill Predictably (2026): https://llmtools.cc/blog/braintrust-alternatives/
- 4 Helicone Alternatives to Migrate To Before It Freezes (2026): https://llmtools.cc/blog/helicone-alternatives/
- 4 Langfuse Alternatives With Less Ops Overhead (2026): https://llmtools.cc/blog/langfuse-alternatives/
- 5 LangSmith Alternatives That Cost a Fraction at Scale (2026): https://llmtools.cc/blog/langsmith-alternatives/
- The 2026 LLM Observability Consolidation Map - Who Got Bought, Who Stayed Free: https://llmtools.cc/blog/llm-observability-acquisitions-2026/

## Learn (Learn LLM Evaluation)

- Why LLM Evaluation Matters: https://llmtools.cc/learn/why-evaluate-llms/
- Offline vs Online Evaluation: https://llmtools.cc/learn/offline-vs-online-evaluation/
- Building Evaluation Datasets: https://llmtools.cc/learn/building-eval-datasets/
- Using LLM-as-a-Judge: https://llmtools.cc/learn/using-llm-as-a-judge/
- Core Evaluation Metrics: https://llmtools.cc/learn/core-eval-metrics/
- Evaluating RAG Systems: https://llmtools.cc/learn/evaluating-rag-systems/
- Evaluating AI Agents: https://llmtools.cc/learn/evaluating-ai-agents-chapter/
- Observability and Tracing in Production: https://llmtools.cc/learn/observability-and-tracing/
- Choosing Your Eval Stack: https://llmtools.cc/learn/choosing-your-eval-stack/

## Glossary

- Answer Relevancy: https://llmtools.cc/glossary/answer-relevancy/
- Context Precision: https://llmtools.cc/glossary/context-precision/
- Embedding: https://llmtools.cc/glossary/embedding/
- Eval Dataset: https://llmtools.cc/glossary/eval-dataset/
- Faithfulness: https://llmtools.cc/glossary/faithfulness/
- False Positive: https://llmtools.cc/glossary/false-positive/
- Ground Truth: https://llmtools.cc/glossary/ground-truth/
- Guardrails: https://llmtools.cc/glossary/guardrails/
- Hallucination: https://llmtools.cc/glossary/hallucination/
- Human in the Loop: https://llmtools.cc/glossary/human-in-the-loop/
- LLM-as-a-Judge: https://llmtools.cc/glossary/llm-as-a-judge/
- Observability: https://llmtools.cc/glossary/observability/
- Offline Evaluation: https://llmtools.cc/glossary/offline-evaluation/
- Online Evaluation: https://llmtools.cc/glossary/online-evaluation/
- OpenTelemetry: https://llmtools.cc/glossary/opentelemetry/
- Prompt Injection: https://llmtools.cc/glossary/prompt-injection/
- RAG Triad: https://llmtools.cc/glossary/rag-triad/
- Regression Testing: https://llmtools.cc/glossary/regression-testing/
- Span: https://llmtools.cc/glossary/span/
- Token: https://llmtools.cc/glossary/token/
- Trace: https://llmtools.cc/glossary/trace/
- True Positive: https://llmtools.cc/glossary/true-positive/

## Contact

Email: hello@llmtools.cc