Guardrails AI

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import os
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from dotenv import load_dotenv
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load_dotenv()
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from respan import Respan
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from respan_instrumentation_openinference import OpenInferenceInstrumentor
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from openinference_instrumentation_guardrails import GuardrailsInstrumentor
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from guardrails import Guard
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from guardrails.hub import RegexMatch
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# Initialize Respan with Guardrails instrumentation
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respan = Respan(
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    instrumentations=[
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        OpenInferenceInstrumentor(instrumentor=GuardrailsInstrumentor())
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    ]
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)
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# Create a guard with validators
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guard = Guard().use(
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    RegexMatch(regex=r"^[A-Z].*\.$", on_fail="reask")
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)
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# Run the guard with an LLM call
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result = guard(
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    model="gpt-4o-mini",
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    messages=[{
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        "role": "user",
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        "content": "Write a single sentence about the importance of testing."
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    }],
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)
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print(result.validated_output)
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respan.flush()