langchain-apertis
Native LangChain integration for the
Apertis AI API. It uses the official apertis SDK directly and
does not depend on langchain-openai.
Installation
pip install -U langchain-apertis
export APERTIS_API_KEY="..."
Chat completions
from langchain_apertis import ChatApertis
llm = ChatApertis(model="gpt-5.5", temperature=0)
print(llm.invoke("Explain what a native LangChain provider is.").text)
bind_tools() and with_structured_output() use Apertis' OpenAI-compatible tool
format. A current Web Search model keeps its exact :web model suffix and exposes
source records safely in response_metadata["apertis"]["web_sources"].
search = ChatApertis(
model="gpt-5.5:web",
web_results_count=5,
web_content_length="medium",
)
response = search.invoke("What changed in this week's AI news?")
print(response.response_metadata["apertis"]["web_sources"])
Development verification
The public package metadata resolves published apertis>=0.3.0 from PyPI.
uv sync --group dev
uv run pytest -m "not integration"
uv build
docker build -t langchain-apertis-test -f Dockerfile.test .
docker run --rm --network none langchain-apertis-test
Publishing
After apertis>=0.3.0 is available on PyPI, configure PyPI Trusted Publishing for
apertis-ai/langchain-apertis, .github/workflows/publish.yml, and the pypi
environment. The manual Publish to PyPI workflow uploads only when dispatched with
the publish confirmation value.
1 maintainer
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Branch / Tag:
refs/heads/main - Owner: https://github.com/apertis-ai
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https://token.actions.githubusercontent.com -
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github-hosted -
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