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This template enables parsing of data from laboratory plates.

In the context of biochemistry or molecular biology, laboratory plates are commonly used tools to hold samples in a grid-like format.

This can parse the resulting data into standardized (e.g., JSON) format for further processing.

Environment Setup​

Set the OPENAI_API_KEY environment variable to access the OpenAI models.


To utilize plate-chain, you must have the LangChain CLI installed:

pip install -U langchain-cli

Creating a new LangChain project and installing plate-chain as the only package can be done with:

langchain app new my-app --package plate-chain

If you wish to add this to an existing project, simply run:

langchain app add plate-chain

Then add the following code to your file:

from plate_chain import chain as plate_chain

add_routes(app, plate_chain, path="/plate-chain")

(Optional) For configuring LangSmith, which helps trace, monitor and debug LangChain applications, use the following code:

export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"

If you're in this directory, you can start a LangServe instance directly by:

langchain serve

This starts the FastAPI app with a server running locally at http://localhost:8000

All templates can be viewed at Access the playground at

You can access the template from code with:

from langserve.client import RemoteRunnable

runnable = RemoteRunnable("http://localhost:8000/plate-chain")

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