de496062b3
- **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>
2.0 KiB
summarize-anthropic
This template uses Anthropic's claude-3-sonnet-20240229 to summarize long documents.
It leverages a large context window of 100k tokens, allowing for summarization of documents over 100 pages.
You can see the summarization prompt in chain.py.
Environment Setup
Set the ANTHROPIC_API_KEY environment variable to access the Anthropic models.
Usage
To use this package, you should first have the LangChain CLI installed:
pip install -U langchain-cli
To create a new LangChain project and install this as the only package, you can do:
langchain app new my-app --package summarize-anthropic
If you want to add this to an existing project, you can just run:
langchain app add summarize-anthropic
And add the following code to your server.py file:
from summarize_anthropic import chain as summarize_anthropic_chain
add_routes(app, summarize_anthropic_chain, path="/summarize-anthropic")
(Optional) Let's now configure LangSmith. LangSmith will help us trace, monitor and debug LangChain applications. LangSmith is currently in private beta, you can sign up here. If you don't have access, you can skip this section
export LANGCHAIN_TRACING_V2=true
export LANGCHAIN_API_KEY=<your-api-key>
export LANGCHAIN_PROJECT=<your-project> # if not specified, defaults to "default"
If you are inside this directory, then you can spin up a LangServe instance directly by:
langchain serve
This will start the FastAPI app with a server is running locally at http://localhost:8000
We can see all templates at http://127.0.0.1:8000/docs We can access the playground at http://127.0.0.1:8000/summarize-anthropic/playground
We can access the template from code with:
from langserve.client import RemoteRunnable
runnable = RemoteRunnable("http://localhost:8000/summarize-anthropic")