langchain/libs/community/tests/integration_tests/chains/test_react.py
Eugene Yurtsev f92006de3c
multiple: langchain 0.2 in master (#21191)
0.2rc 

migrations

- [x] Move memory
- [x] Move remaining retrievers
- [x] graph_qa chains
- [x] some dependency from evaluation code potentially on math utils
- [x] Move openapi chain from `langchain.chains.api.openapi` to
`langchain_community.chains.openapi`
- [x] Migrate `langchain.chains.ernie_functions` to
`langchain_community.chains.ernie_functions`
- [x] migrate `langchain/chains/llm_requests.py` to
`langchain_community.chains.llm_requests`
- [x] Moving `langchain_community.cross_enoders.base:BaseCrossEncoder`
->
`langchain_community.retrievers.document_compressors.cross_encoder:BaseCrossEncoder`
(namespace not ideal, but it needs to be moved to `langchain` to avoid
circular deps)
- [x] unit tests langchain -- add pytest.mark.community to some unit
tests that will stay in langchain
- [x] unit tests community -- move unit tests that depend on community
to community
- [x] mv integration tests that depend on community to community
- [x] mypy checks

Other todo

- [x] Make deprecation warnings not noisy (need to use warn deprecated
and check that things are implemented properly)
- [x] Update deprecation messages with timeline for code removal (likely
we actually won't be removing things until 0.4 release) -- will give
people more time to transition their code.
- [ ] Add information to deprecation warning to show users how to
migrate their code base using langchain-cli
- [ ] Remove any unnecessary requirements in langchain (e.g., is
SQLALchemy required?)

---------

Co-authored-by: Erick Friis <erick@langchain.dev>
2024-05-08 16:46:52 -04:00

20 lines
684 B
Python

"""Integration test for self ask with search."""
from langchain.agents.react.base import ReActChain
from langchain_community.docstore import Wikipedia
from langchain_community.llms.openai import OpenAI
def test_react() -> None:
"""Test functionality on a prompt."""
llm = OpenAI(temperature=0, model_name="gpt-3.5-turbo-instruct") # type: ignore[call-arg]
react = ReActChain(llm=llm, docstore=Wikipedia())
question = (
"Author David Chanoff has collaborated with a U.S. Navy admiral "
"who served as the ambassador to the United Kingdom under "
"which President?"
)
output = react.run(question)
assert output == "Bill Clinton"