/usr/bin/cat for LLMs Ever need to test if an inference endpoint is working or want to one-shot a model on a server? Maybe you want to cycle through keys or models or benchmark a bank of IPs. Perhaps you want to orchestrate queries across models running on servers and want to run the job in parallel without leaving any leaky state behind. Existing tools require you to pick from a provider boutique and a small list of models shipped with the software then swap around credentials like you're Indiana Jones with a bag of sand.
| Stars | 38 |
| Forks | 2 |
| Language | Python |
| Category | AI Tool |
| License | MIT |
| Quality Score | 64.4202635029234/100 |
| Last Updated | 2026-10-13 |
| Created | 2026-01-09 |
| Platforms | cli, python |
| Est. Tokens | ~17k |
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llcat is LLM infradebugging and diagnostic tool. It is categorized as a AI Tool with 38 GitHub stars.
llcat is primarily written in Python. It covers topics such as cli, llm, local-llm.
You can find installation instructions and usage details in the llcat GitHub repository at github.com/day50-dev/llcat. The project has 38 stars and 2 forks, indicating an active community.
llcat is released under the MIT license, making it free to use and modify according to the license terms.