# langchain-groq ## Welcome to Groq! ๐Ÿš€ At Groq, we've developed the world's first Language Processing Unitโ„ข, or LPU. The Groq LPU has a deterministic, single core streaming architecture that sets the standard for GenAI inference speed with predictable and repeatable performance for any given workload. Beyond the architecture, our software is designed to empower developers like you with the tools you need to create innovative, powerful AI applications. With Groq as your engine, you can: * Achieve uncompromised low latency and performance for real-time AI and HPC inferences ๐Ÿ”ฅ * Know the exact performance and compute time for any given workload ๐Ÿ”ฎ * Take advantage of our cutting-edge technology to stay ahead of the competition ๐Ÿ’ช Want more Groq? Check out our [website](https://groq.com) for more resources and join our [Discord community](https://discord.gg/JvNsBDKeCG) to connect with our developers! ## Installation and Setup Install the integration package: ```bash pip install langchain-groq ``` Request an [API key](https://wow.groq.com) and set it as an environment variable ```bash export GROQ_API_KEY=gsk_... ``` ## Chat Model See a [usage example](https://python.langchain.com/docs/integrations/chat/groq). ## Development To develop the `langchain-groq` package, you'll need to follow these instructions: ### Install dev dependencies ```bash poetry install --with test,test_integration,lint,codespell ``` ### Build the package ```bash poetry build ``` ### Run unit tests Unit tests live in `tests/unit_tests` and SHOULD NOT require an internet connection or a valid API KEY. Run unit tests with ```bash make tests ``` ### Run integration tests Integration tests live in `tests/integration_tests` and require a connection to the Groq API and a valid API KEY. ```bash make integration_tests ``` ### Lint & Format Run additional tests and linters to ensure your code is up to standard. ```bash make lint spell_check check_imports ```