Alternatives to Agent Prism

LangSmith is agent and LLM observability from the LangChain team: trace, monitor, evaluate, and deploy AI agents.

Open-source Python framework that traces every AI agent span and scores runs with benchmarked, explainable LLM judges.

PandaProbe is open-source agent observability that traces runs, evaluates outcomes, and turns failures into validated fixes via its Repair

Open-source LLM observability: trace agents, manage prompts, and run evals on one MIT-licensed platform.

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

LangWatch is an open-source LLMOps platform for agent testing, LLM evaluation and OpenTelemetry-native LLM observability.

Open source AI engineering platform for agent and LLM tracing, evaluation, prompt management, and ML lifecycle work.

Maxim AI simulates, evaluates and observes AI agents — with Bifrost, its open-source LLM gateway, for routing and guardrails.

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

Open-source AI agent improvement: trace production runs, detect failures, investigate signals, verify fixes with evals.

Open-source LLM observability, evaluation, and cost tracking for teams shipping agentic AI

Laminar delivers open-source AI agent observability that auto-captures every LLM and tool call and surfaces failures with Signals.

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

Open-source benchmark that scores AI agents on real, multi-step software-company work tasks.

BALROG is an open ICLR-published benchmark that scores agentic LLM and VLM reasoning across seven procedurally generated games.

Open-source collaboration layer that turns domain expertise into AI agent test suites

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

Agent evaluation platform that simulates voice and chat agents, traces production, and scores hallucinations before your customers hit them

Braintrust traces agent runs, scores them with evals, and surfaces production failure patterns before they ship.

Respan routes every agent run through one LLM gateway, then traces and evaluates it with production evals.

Automated QA for voice and chat AI agents — simulate conversations, monitor live calls, and close the loop from failing test to patched prompt.

Trace, replay and debug AI agent runs — LLM calls, tool use and multi-agent interactions in one timeline, via a single SDK

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

Raindrop traces, detects, and simulates fixes for silent AI agent failures in production before they reach your users.

Open-source OpenTelemetry tracing, versioning, and sessions for Python LLM apps—bring your own backend.

Weights & Biases tracks ML experiments, versions models and datasets, and traces LLM apps — now inside CoreWeave Forge

Agnost AI monitors production AI agents, clusters silent failures, and opens a fix for review.

Open-source toolkit for benchmarking vision-language models across 80+ multimodal tasks, with rankings published on the Open VLM Leaderboard.

Burntop is a FastAPI, React 19 and Postgres full-stack template that keeps coding agents honest with 200+ end-to-end tests.

Open-source PyTorch toolkit for feature attribution in sequence generation models