Alternatives to PromptLayer

Open-source LLM observability and agent evals: trace, evaluate, and improve AI agents on one MIT-licensed platform

LangSmith agent observability: trace, monitor, and evaluate every LLM run with SmithDB-backed trace search.

Comet's Opik turns LLM observability and evaluation into agent code fixes, not just trace dashboards

Open source LLM observability with OpenTelemetry tracing, evals, and prompt management for agents

Open-source LLM observability and agent evaluation you can trace, self-host, and eval end to end.

Maxim AI pairs AI agent evaluation, simulation and observability with Bifrost, an open-source LLM gateway.

Braintrust delivers agent observability with evals, pattern discovery, and trace-scale storage in one platform.

Fiddler AI is an AI agent observability and control plane with inline guardrails, continuous evaluation, and auditable governance.

Open-source AI evaluation and observability for LLMs, RAG apps, AI agents, and ML models.

Edgee Team gives engineering leaders per-repo, per-PR token observability and spending caps for coding agents.

PandaProbe is open-source agent observability that traces runs, evaluates outcomes, and converts failures into validated repair rules

Open-source collaboration layer for turning domain expertise into AI agent test suites

Claw Lens is a zero-config local observability dashboard for OpenClaw AI agents — live monitor, cost analytics, and security audit in one

Simulate, evaluate and monitor voice and chat AI agents before they talk to real customers

Open-source LLMOps platform for tracing, agent simulations, evaluations and an AI gateway, from your own agents to the coding agents your engineers run.

LLM evaluation and observability that turns production traces into repeatable evals and CI regression tests

Respan's LLM gateway routes every agent run through one endpoint, then traces, monitors and evaluates it.

Automated QA for voice AI agents: simulate calls, monitor live drift, and auto-patch prompts.

Synth runs hosted coding-agent evals and optimizer loops with cited, reproducible research behind every result.

Galileo turns pre-launch AI evals into production guardrails that block bad agent and RAG responses at runtime.

Athina is a shared workspace where your team writes prompts, runs evals, annotates datasets, and traces LLM calls in production.

Retrace delivers AI agent observability with execution replay: record every run, fork the failing step, and prove your fix before shipping.

Agent observability with Signals: Laminar surfaces agent failures you never had to define.

Prompt library where teams save, tag, and share ChatGPT, Claude, and Gemini prompts in one workspace.

OpenTelemetry-native tracing and benchmarked LLM-judge evals for AI agents and RAG apps.

OpenTelemetry-native LLM tracing, evals, prompt management and GPU monitoring you can self-host free under Apache 2.0.

Open-source Python library that turns vibe checks into reproducible evaluation loops for RAG pipelines and AI agents.

OpenJudge is an Apache 2.0 open-source AI evaluation framework shipping 50+ benchmark-validated graders for agents, LLMs, code, math, and multimodal models.

Build custom RL environments in code and run agent evaluations with trace QA on every run

Agent monitoring and evals that surface recurring failures, search any pattern, and test fixes offline before you ship.