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  1. Stackups
  2. AI
  3. Text & Language Models
  4. Llm Tools
  5. LangSmith vs SentinelQA

LangSmith vs SentinelQA

OverviewComparisonAlternatives

Overview

LangSmith
LangSmith
Stacks6
Followers5
Votes1
SentinelQA
SentinelQA
Stacks0
Followers1
Votes1

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Detailed Comparison

LangSmith
LangSmith
SentinelQA
SentinelQA

It is a platform for building production-grade LLM applications. It lets you debug, test, evaluate, and monitor chains and intelligent agents built on any LLM framework and seamlessly integrates with LangChain, the go-to open source framework for building with LLMs.

CI failures are painful to debug. SentinelQA gives you run summaries, flaky test detection, regression analysis, visual diffs and AI-generated action items.

Collaborate with teammates to get app behavior just right; A unified DevOps platform for your LLM applications; The platform for your LLM development lifecycle; Develop with greater visibility
QA, DevOps, Test Intelligence, AI, Analytics, Test Debugging
Statistics
Stacks
6
Stacks
0
Followers
5
Followers
1
Votes
1
Votes
1
Integrations
Python
Python
LangChain
LangChain
Kubernetes
Kubernetes
TypeScript
TypeScript
No integrations available

What are some alternatives to LangSmith, SentinelQA?

BrowserStack

BrowserStack

BrowserStack is the leading test platform built for developers & QAs to expand test coverage, scale & optimize testing with cross-browser, real device cloud, accessibility, visual testing, test management, and test observability.

Testrail

Testrail

TestRail helps you manage and track your software testing efforts and organize your QA department. Its intuitive web-based user interface makes it easy to create test cases, manage test runs and coordinate your entire testing process.

Clever AI Humanizer

Clever AI Humanizer

That transforms AI-generated content into natural, undetectable human-like writing. Bypass AI detection systems with intelligent text humanization technology

LangChain

LangChain

It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.

Ollama

Ollama

It allows you to run open-source large language models, such as Llama 2, locally.

Zephyr

Zephyr

Manage all aspects of software quality; integrate with JIRA and various test tools, foster collaboration and gain real-time visibility.

LlamaIndex

LlamaIndex

It is a project that provides a central interface to connect your LLMs with external data. It offers you a comprehensive toolset trading off cost and performance.

LangGraph

LangGraph

It is a library for building stateful, multi-actor applications with LLMs, built on top of (and intended to be used with) LangChain. It extends the LangChain Expression Language with the ability to coordinate multiple chains (or actors) across multiple steps of computation in a cyclic manner.

Rhesis AI

Rhesis AI

The collaborative testing platform for LLM applications and agents. Your whole team defines quality requirements together, Rhesis generates thousands of test scenarios covering edge cases, simulates realistic multi-turn conversations, and delivers actionable reviews. Testing infrastructure built for Gen AI.

Vivgrid — Build, Evaluate & Deploy AI Agents with Confidence

Vivgrid — Build, Evaluate & Deploy AI Agents with Confidence

Vivgrid is an AI agent infrastructure platform that helps developers and startups build, observe, evaluate, and deploy AI agents with safety guardrails and global low-latency inference. Support for GPT-5, Gemini 2.5 Pro, and DeepSeek-V3. Start free with $200 monthly credits. Ship production-ready AI agents confidently.

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