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# summarize-anthropic
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templates: migrate to langchain_anthropic package to support Claude 3 models (#19393)
- **Description:** update langchain anthropic templates to support
Claude 3 (iterative search, chain of note, summarization, and XML
response)
- **Issue:** issue # N/A. Stability issues and errors encountered when
trying to use older langchain and anthropic libraries.
- **Dependencies:**
- langchain_anthropic version 0.1.4\
- anthropic package version in the range ">=0.17.0,<1" to support
langchain_anthropic.
- **Twitter handle:** @d_w_b7
- [ x]**Add tests and docs**: If you're adding a new integration, please
include
1. used instructions in the README for testing
- [ x] **Lint and test**: Run `make format`, `make lint` and `make test`
from the root of the package(s) you've modified. See contribution
guidelines for more: https://python.langchain.com/docs/contributing/
Additional guidelines:
- Make sure optional dependencies are imported within a function.
- Please do not add dependencies to pyproject.toml files (even optional
ones) unless they are required for unit tests.
- Most PRs should not touch more than one package.
- Changes should be backwards compatible.
- If you are adding something to community, do not re-import it in
langchain.
If no one reviews your PR within a few days, please @-mention one of
baskaryan, efriis, eyurtsev, hwchase17.
---------
Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>
Co-authored-by: Erick Friis <erick@langchain.dev>
2024-04-06 00:33:59 +00:00
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This template uses Anthropic's `claude-3-sonnet-20240229` to summarize long documents.
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It leverages a large context window of 100k tokens, allowing for summarization of documents over 100 pages.
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You can see the summarization prompt in `chain.py`.
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## Environment Setup
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Set the `ANTHROPIC_API_KEY` environment variable to access the Anthropic models.
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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 summarize-anthropic
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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 summarize-anthropic
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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 summarize_anthropic import chain as summarize_anthropic_chain
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add_routes(app, summarize_anthropic_chain, path="/summarize-anthropic")
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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/summarize-anthropic/playground](http://127.0.0.1:8000/summarize-anthropic/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/summarize-anthropic")
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```
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