Alternatives to Rapidfireai

LangChain's open agent frameworks plus LangSmith — tracing, evals, deployment, sandboxes and an LLM gateway for agents in production.

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

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.

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

Goodfire's Silico is an AI interpretability agent for reverse-engineering, debugging, and steering model internals.

PromptLayer is the collaboration layer for AI engineering teams — a prompt CMS, eval harness, and agent observability stack in one dashboard.

Chronicle Labs replays your production data to test and validate AI agents before launch.

Sharbo builds a skill network for AI agents — encode expert workflows once and let every agent activate them autonomously.

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

Kashikoi is a cloud simulation engine that benchmarks your AI agent from a single prompt — no code, no manual grading.

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

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

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

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

Comet's Opik brings LLM observability and evaluation that turns agent traces into code fixes

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

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

Fiddler AI is an enterprise control plane for agent observability, inline guardrails, and auditable AI governance.

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.

Galileo turns offline AI evals into production guardrails for agents and RAG pipelines.

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

Test, evaluate, and monitor LLM apps in production with Parea AI

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

Retrace records every AI agent run, forks the failing step, and replays it to prove your fix before you ship.

Synth is a research workbench and hosted compute for optimizing coding agents with reproducible, evidence-backed evals.

Autoblocks AI tests, simulates, and monitors LLM agents with evaluation logic built from your own subject-matter experts.

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

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