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…rnative LLMs until used <!-- Thank you for contributing to LangChain! Replace this entire comment with: - **Description:** a description of the change, - **Issue:** the issue # it fixes (if applicable), - **Dependencies:** any dependencies required for this change, - **Tag maintainer:** for a quicker response, tag the relevant maintainer (see below), - **Twitter handle:** we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->
24 lines
664 B
Python
24 lines
664 B
Python
from langchain.chat_models import ChatAnthropic, ChatCohere, ChatOpenAI
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from langchain.prompts import ChatPromptTemplate
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from langchain.schema.runnable import ConfigurableField
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_prompt = ChatPromptTemplate.from_messages(
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[
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(
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"system",
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"Translate user input into pirate speak",
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),
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("human", "{text}"),
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]
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)
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_model = ChatOpenAI().configurable_alternatives(
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ConfigurableField(id="llm_provider"),
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default_key="openai",
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anthropic=ChatAnthropic,
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cohere=ChatCohere,
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)
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# if you update this, you MUST also update ../pyproject.toml
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# with the new `tool.langserve.export_attr`
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chain = _prompt | _model
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