LangSmith vs LLM Engine
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is the easiest way to customize and serve LLMs. In LLM Engine, models can be accessed via Scale's hosted version or by using the Helm charts in the repository to run model inference and fine-tuning in your own infrastructure. | 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. |
Ready-to-use APIs for your favorite models;
Fine-tune foundation models;
Optimized inference;
Open-source integrations | 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 |
Statistics | |
GitHub Stars 814 | GitHub Stars - |
GitHub Forks 67 | GitHub Forks - |
Stacks 2 | Stacks 6 |
Followers 4 | Followers 5 |
Votes 0 | Votes 1 |
Integrations | |
What are some alternatives to LLM Engine, LangSmith?
Clever AI Humanizer
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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
It allows you to run open-source large language models, such as Llama 2, locally.
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
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
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 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.
GPTScript
It is a new scripting language to automate your interaction with a Large Language Model (LLM), namely OpenAI. The ultimate goal is to create a natural language programming experience. The syntax of GPTScript is largely natural language, making it very easy to learn and use.
SentinelQA
CI failures are painful to debug. SentinelQA gives you run summaries, flaky test detection, regression analysis, visual diffs and AI-generated action items.
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