“observability”

Monitor the performance, usage, cost and guardrails of LLM and agentic AI apps in Elastic Observability

AI observability with real-time evaluators, dashboards, session tracing and cost tracking for AI agents

Full-stack observability for AI applications, LLMs and agents, covering performance, cost, quality and compliance

OpenTelemetry-native observability for LLMs, vector databases, GPUs, MCP servers and AI evaluations in Grafana Cloud

Platform for monitoring, troubleshooting and evaluating LLM applications and AI agents

Traces every LLM call in your AI product, with prompt, tokens, cost, latency and the user who triggered it

Connects prompts, model calls, tool use, cost and failures to help debug LLM apps and agents in production

Open-source observability for LLM applications, built on OpenTelemetry

Open-source LLM observability and evaluation platform with agent tracing and test suites

Open-source observability platform for AI agents that detects failures and supports evals

AI gateway and LLM observability platform for logging, debugging and routing LLM requests

Open-source, MIT-licensed platform for observing production AI agents and turning failures into tracked signals

End-to-end platform for simulating, evaluating and observing AI agents and applications

Observability platform for AI apps covering model calls, agent steps, API requests and database queries in one trace

Observability and dev-tool platform for building, evaluating and monitoring AI agents

Open-source observability for AI apps: traces LLM calls, prompts, retrieval and agent steps via OpenTelemetry

AI engineering platform for observing, evaluating and improving AI agents

Agent observability platform for tracing, evaluating, monitoring and improving AI agents

Collaboration layer for AI engineering teams: prompt management, agent observability and evals

AI router with built-in observability, automated evals and red-teaming for agent runs

AI observability and eval engineering platform where offline evals become production guardrails

AI observability in Sentry for tracing and debugging agent runs, tool calls, token usage and errors

Platform for agent observability and evals: trace agents, score outputs and find patterns in production

Open-source platform for tracing, evaluating and improving AI agents