Add the new RunnableRails interface for LangChain integration.
#235
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efriis
reviewed
Dec 20, 2023
| ```python | ||
| chain_with_guardrails = prompt | (guardrails | model) | output_parser | ||
| ``` | ||
| > **NOTE**: Using the extra parenthesis is essential to enforce the order in which the `|` (pipe) operator is applied. |
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This might be a sign it's not implemented properly. Ideally sequences should pass data forward, in which case nesting the sequences shouldn't matter. Will look at code in a sec!
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| def __or__(self, other): | ||
| if isinstance(other, BaseLanguageModel): | ||
| self.llm = other | ||
| self.rails.update_llm(other) | ||
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| elif isinstance(other, Runnable): | ||
| self.passthrough_runnable = other | ||
| self.passthrough = True | ||
| self._init_passthrough_fn() | ||
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| return self |
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Ah I see - this is why you need to wrap them in parentheses. This is not recommended. Instead, I would recommend passing in the llm as an parameter to RunnableRails
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That also works. But I figured that supporting the "|" notation would make it easier to go from "without guardrails" to "with guardrails", by following a simple wrapping pattern.
Signed-off-by: Razvan Dinu <[email protected]>
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This PR adds a new Python interface for LangChain integration. For more details checkout the documentation.