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Description The Perplexity chat model already returns a search_results field, but LangChain dropped it when mapping Perplexity responses to additional_kwargs. This patch adds "search_results" to the allowed attribute lists in both _stream and _generate, so downstream code can access it just like images, citations, or related_questions. Dependencies None. The change is purely internal; no new imports or optional dependencies required. https://community.perplexity.ai/t/new-feature-search-results-field-with-richer-metadata/398 --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Mason Daugherty <github@mdrxy.com> |
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| langchain_perplexity | ||
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| pyproject.toml | ||
| README.md | ||
| uv.lock | ||
langchain-perplexity
This package contains the LangChain integration with Perplexity.
Installation
pip install -U langchain-perplexity
And you should configure your perplexity credentials
and then set the PPLX_API_KEY environment variable.
Usage
This package contains the ChatPerplexity class, which is the recommended way to interface with Perplexity chat models.
import getpass
import os
if not os.environ.get("PPLX_API_KEY"):
os.environ["PPLX_API_KEY"] = getpass.getpass("Enter API key for Perplexity: ")
from langchain.chat_models import init_chat_model
llm = init_chat_model("llama-3.1-sonar-small-128k-online", model_provider="perplexity")
llm.invoke("Hello, world!")