Best AI tools for llm observability

LangChain's eval + observability platform.

The ML experiment tracker, now with LLM eval features.

Open-source LLM observability — one-line proxy install.

Enterprise observability and evaluation platform for LLM agents and generative AI applications.

Continuous AI red teaming platform that stress-tests LLM agents for vulnerabilities before they hit production.

Contamination-free LLM benchmark that refreshes its questions monthly to keep frontier models honest.

Collaborative LLM evaluation and observability platform for teams shipping AI features to production.

OpenTelemetry-native observability and evaluation platform for LLM agents in production.

Open-source platform for tracking, evaluating, and deploying ML models and LLM applications.

OpenAI's open-source framework for benchmarking LLMs against a shared registry of evaluations.

Open-source evaluation and tracing framework for LLM apps and agents, built on OpenTelemetry.

Production observability, tracing, and evaluation for LLM and agent systems from the Weights & Biases stack.

Open-source LLM observability, prompt management, and evaluation in one platform.

Holistic benchmark suite for evaluating mathematical reasoning in large language models.

Open-source LLM observability and evaluation platform for debugging and monitoring AI agents in production.

Open-source LLM evaluation framework from the UK AI Security Institute with 200+ built-in benchmarks.

Open-source workbench for building, evaluating, and fine-tuning AI agents across 190+ models.

Open academic benchmark suite for stress-testing LLMs on contamination-resistant, domain-specific tasks.

Open-source eval and red-teaming framework for LLM apps, prompts, and RAG pipelines.

Automatic LLM evaluator and leaderboard that benchmarks instruction-following with length-controlled win rates.

Open-source toolkit for testing, tracing, and monitoring production AI agents.

Enterprise AI observability and guardrails platform for monitoring agents, LLMs, and ML models in production.

End-to-end evaluation, simulation, and observability platform for shipping production-grade AI agents.

LLM engineering platform combining a multi-model gateway with tracing, evals, and prompt management.

Terminal tool that scores hundreds of open LLMs against your actual CPU, RAM, and GPU and tells you which ones will run well.

Olympiad-level multi-discipline benchmark for stress-testing reasoning in LLMs and multimodal models.

Open-source LLM and agent observability platform with tracing, evals, and experimentation built on OpenTelemetry.

Agentic management platform for runtime guardrails, policy enforcement, and observability across LLM agents.

Open-source LLMOps platform for prompt engineering, evaluation, and observability in one workspace.

Public leaderboard from the OpenCompass project ranking open and closed LLMs across 100+ benchmarks.

Stack Overflow-derived benchmark for evaluating code LLMs on real-world programming questions.

Dynamic LLM benchmark that mixes web queries with existing datasets to mirror Chatbot Arena rankings at a fraction of the cost.

Head-to-head LLM battle arena with a public leaderboard for ranking AI models.

LLM evaluation, observability, and prompt management platform for teams shipping production AI apps.

Local usage meter that turns AI coding-agent tokens into estimated electricity and water consumption.

Measure the gap between what your site claims and what an AI agent actually finds

Runtime security and guardrails for GenAI apps, agents, and RAG systems.

Simulation-based testing, evaluation, and observability for LLM agents

Match LLMs to GPUs and plan multi-model AI stacks by VRAM, bandwidth and precision.

Open-source red-teaming and execution-layer defense for AI agents against prompt injection.

Visualizer for neural network, deep learning, and machine learning models

Physics-based calculator that predicts LLM decode speed, memory fit, and quantization quality on any hardware.