Prompt Engineering Guide collects lessons, papers, notebooks, and resources on prompting, retrieval-augmented generation, and AI agents.
Llm
vsPromptfoo
Llm vs Promptfoo
How do Llm and Promptfoo compare? Here are the facts side by side: pricing, platforms, open-source status and what each one is for.
| Directory detail | Llm | Promptfoo |
|---|---|---|
| What it is | Run the llm command-line tool to access and work with large language models from a terminal. | promptfoo tests prompts, agents, and retrieval-augmented generation systems, with red teaming and vulnerability scanning. |
| Website | ||
| Type | Open-source project | Open-source project |
| Topic | ||
| Pricing | Not confirmed | Not confirmed |
| Platforms | Not recorded | Not recorded |
| Open source | Yes | Yes |
| Language | English | English |
| Alternatives |
Other options to consider
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24 alternativesAwesome RAG Production curates tools, frameworks, and practices for building retrieval-augmented generation systems.
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24 alternativesAgent Reach lets AI agents read and search services including Twitter, Reddit, YouTube, GitHub, and Bilibili through one command-line tool.
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24 alternativesThis list tracks front-end GUI clients for ChatGPT, Claude, and other language models.
PaidOpen source
24 alternativesThis repository collects prompts, system prompts, and instructions for large language models.
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24 alternativesThis repository teaches 22 prompt engineering techniques through Jupyter Notebook tutorials.







