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Updated titles into a consistent format. Fixed links to the diagrams. Fixed typos. Note: The Templates menu in the navbar is now sorted by the file names. I'll try sorting the navbar menus by the page titles, not the page file names.
67 lines
1.8 KiB
Markdown
67 lines
1.8 KiB
Markdown
# Plate chain
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This template enables parsing of data from `laboratory plates`.
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In the context of biochemistry or molecular biology, laboratory plates are commonly used tools to hold samples in a grid-like format.
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This can parse the resulting data into standardized (e.g., `JSON`) format for further processing.
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## Environment Setup
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Set the `OPENAI_API_KEY` environment variable to access the OpenAI models.
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## Usage
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To utilize plate-chain, you must have the LangChain CLI installed:
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```shell
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pip install -U langchain-cli
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```
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Creating a new LangChain project and installing plate-chain as the only package can be done with:
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```shell
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langchain app new my-app --package plate-chain
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```
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If you wish to add this to an existing project, simply run:
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```shell
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langchain app add plate-chain
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```
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Then add the following code to your `server.py` file:
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```python
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from plate_chain import chain as plate_chain
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add_routes(app, plate_chain, path="/plate-chain")
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```
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(Optional) For configuring LangSmith, which helps trace, monitor and debug LangChain applications, use the following code:
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```shell
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export LANGCHAIN_TRACING_V2=true
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export LANGCHAIN_API_KEY=<your-api-key>
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export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
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```
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If you're in this directory, you can start a LangServe instance directly by:
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```shell
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langchain serve
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```
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This starts the FastAPI app with a server running locally at
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[http://localhost:8000](http://localhost:8000)
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All templates can be viewed at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)
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Access the playground at [http://127.0.0.1:8000/plate-chain/playground](http://127.0.0.1:8000/plate-chain/playground)
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You can access the template from code with:
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```python
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from langserve.client import RemoteRunnable
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runnable = RemoteRunnable("http://localhost:8000/plate-chain")
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``` |