mirror of
https://github.com/hwchase17/langchain
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70 lines
1.9 KiB
Markdown
70 lines
1.9 KiB
Markdown
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# xml-agent
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This package creates an agent that uses XML syntax to communicate its decisions of what actions to take. It uses Anthropic's Claude models for writing XML syntax and can optionally look up things on the internet using DuckDuckGo.
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## Environment Setup
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Two environment variables need to be set:
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- `ANTHROPIC_API_KEY`: Required for using Anthropic
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## Usage
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To use this package, you should first 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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To create a new LangChain project and install this as the only package, you can do:
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```shell
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langchain app new my-app --package xml-agent
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```
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If you want to add this to an existing project, you can just run:
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```shell
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langchain app add xml-agent
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```
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And add the following code to your `server.py` file:
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```python
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from xml_agent import agent_executor as xml_agent_chain
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add_routes(app, xml_agent_chain, path="/xml-agent")
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```
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(Optional) Let's now configure LangSmith.
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LangSmith will help us trace, monitor and debug LangChain applications.
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LangSmith is currently in private beta, you can sign up [here](https://smith.langchain.com/).
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If you don't have access, you can skip this section
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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 are inside this directory, then you can spin up 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 will start the FastAPI app with a server is running locally at
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[http://localhost:8000](http://localhost:8000)
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We can see all templates at [http://127.0.0.1:8000/docs](http://127.0.0.1:8000/docs)
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We can access the playground at [http://127.0.0.1:8000/xml-agent/playground](http://127.0.0.1:8000/xml-agent/playground)
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We 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/xml-agent")
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```
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