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https://github.com/langgenius/dify-plugin-sdks.git
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Yeuoly
1ec2ff6d6c
* feat: add LLMStructuredOutput and LLMStructuredOutputInvocation for structured output handling - Introduced LLMStructuredOutput model class for structured output representation. - Added LLMStructuredOutputInvocation class to handle invocation with structured output. - Updated ModelInvocations to include LLMStructuredOutputInvocation. - Modified InvokeType enum to support LLMStructuredOutput type. * docs: update README.md to include support for LLM structured output in manifest versioning
33 lines
838 B
Python
33 lines
838 B
Python
from enum import Enum
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class InvokeType(Enum):
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Tool = "tool"
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LLM = "llm"
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LLMStructuredOutput = "llm_structured_output"
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TextEmbedding = "text_embedding"
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Rerank = "rerank"
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TTS = "tts"
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Speech2Text = "speech2text"
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Moderation = "moderation"
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NodeParameterExtractor = "node_parameter_extractor"
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NodeQuestionClassifier = "node_question_classifier"
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App = "app"
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Storage = "storage"
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UploadFile = "upload_file"
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SYSTEM_SUMMARY = "system_summary"
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FetchApp = "fetch_app"
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@classmethod
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def value_of(cls, value: str) -> "InvokeType":
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"""
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Get value of given mode.
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:param value: type
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:return: mode
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"""
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for mode in cls:
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if mode.value == value:
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return mode
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raise ValueError(f"invalid type value {value}")
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