The request names "agentreliability", which matches Agent Reliability (agentreliability.dev), a resource for testing, benchmarking and auditing autonomous AI agents 4. It offers an MCP server as an official door 4. For tooling that actually traces, evaluates and monitors agents in production, Langfuse, MLflow and Braintrust are the established options 351.
- 1
Agent Reliabilityagentreliability.devwebsite read, tools not yet checked
Testing, benchmarking and auditing autonomous AI agents, with methods, harnesses and evidence, available through an MCP server 4.
official:MCP server · Agent Reliability
- 2
Langfuselangfuse.comverified and signed
Open-source platform to trace, evaluate and improve AI agents using production data, with a plugin and an MCP-style docs tool 3.
+30 community tools built for it
for agents: langfuse-observability · evaluation · langfuse
- 3
MLflowmlflow.orgverified and signed
Open-source AI engineering platform to debug, evaluate and monitor agents and LLM applications, with tracing built on OpenTelemetry 5.
+6 community tools built for it
for agents: agent-evaluation · mlflow · mlflow-agent
- 4
Braintrustbraintrust.devwebsite read, tools not yet checked
AI observability platform for tracing agent production runs, running evals and catching regressions before users see them 1.
+4 community tools built for it
- 5
Sources
- 1Braintrust - The active observability platform for agentsbraintrust.dev · read 2026-10-29
- 3Langfuse: Open Source Agent Evals & Observabilitylangfuse.com · read 2026-10-29
- 4Agent Reliabilityagentreliability.dev · read 2026-10-29
- 5MLflow - Open Source AI Platform for Agents, LLMs & Modelsmlflow.org · read 2026-10-29
- 7Verigent · Build your agent with confidenceverigent.ai · read 2026-10-29
For agents: the 10 actions behind this answer
· Braintrust website read, tools not yet checked
Ship quality agents at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.
· Braintrust website read, tools not yet checked
Ship quality agents at scale. Braintrust is the AI observability platform for tracing production, running evals, and catching regressions before they reach users.
langfuse-observability · langfuse-observability verified and signed
Langfuse observability plugin for Claude Code — captures and exports traces, spans, and session telemetry from Claude Code to Langfuse for LLM monitoring, debugging, and evaluation
· Agent Reliability website read, tools not yet checked
Testing, benchmarking and auditing autonomous AI agents — methods, harnesses, evidence
agent-evaluation · agent-evaluation verified and signed
Use this when you need to EVALUATE OR IMPROVE or OPTIMIZE an existing LLM agent's output quality - including improving tool selection accuracy, answer quality, reducing costs, or fixing issues where the agent gives wrong/incomplete responses. Evaluates agents systematically using MLflow evaluation w
· Agnost AI website read, tools not yet checked
Monitor AI agents in production. Detect failures, test fixes, and open pull requests from production traces.
Verify an agent · Verigent verified and signed
Run an independent capability verification of an AI agent — a free, anonymous, cognitive-only diagnostic (no key, no payment, no real-world actions), scored dimension by dimension, proof-or-zero. e.g. Verify whether this agent is actually reliable. e.g. Run a free diagnostic and report the harness-d
evaluate_runs · iris-eval/mcp-server found in code, not yet checked
sentry-instrument · sentry-instrument verified and signed
Instrument an application with Sentry — detect the platform, install and initialize the SDK if needed, and wire up any signal — error monitoring, tracing/performance, logging, metrics, profiling, session replay, user feedback, cron check-ins, uptime monitors for the deployed app, and AI/LLM monitori
· Agent Ping docs website read, tools not yet checked
Production observability for AI agents. Cost attribution, live monitoring, quality scoring.
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.