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dspy.History

dspy.History

基类: BaseModel

代表对话历史的类。

对话历史是一个消息列表，每条消息实体应包含关联签名中的键。 例如，如果您有以下签名：

class MySignature(dspy.Signature):
    question: str = dspy.InputField()
    history: dspy.History = dspy.InputField()
    answer: str = dspy.OutputField()

那么历史记录应该是一个包含键"question"和"answer"的字典列表。

示例 
import dspy

dspy.settings.configure(lm=dspy.LM("openai/gpt-4o-mini"))

class MySignature(dspy.Signature):
    question: str = dspy.InputField()
    history: dspy.History = dspy.InputField()
    answer: str = dspy.OutputField()

history = dspy.History(
    messages=[
        {"question": "What is the capital of France?", "answer": "Paris"},
        {"question": "What is the capital of Germany?", "answer": "Berlin"},
    ]
)

predict = dspy.Predict(MySignature)
outputs = predict(question="What is the capital of France?", history=history)
捕获对话历史的示例 
import dspy

dspy.settings.configure(lm=dspy.LM("openai/gpt-4o-mini"))

class MySignature(dspy.Signature):
    question: str = dspy.InputField()
    history: dspy.History = dspy.InputField()
    answer: str = dspy.OutputField()

predict = dspy.Predict(MySignature)
outputs = predict(question="What is the capital of France?")
history = dspy.History(messages=[{"question": "What is the capital of France?", **outputs}])
outputs_with_history = predict(question="Are you sure?", history=history)

属性

messages: list[dict[str, Any]] instance-attribute

model_config = pydantic.ConfigDict(frozen=True, str_strip_whitespace=True, validate_assignment=True, extra='forbid') class-attribute instance-attribute

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