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v0.0.62
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agixtsdk/__init__.py

Lines changed: 20 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -1682,7 +1682,20 @@ def convert_to_model(
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agent_name: str = "gpt4free",
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max_failures: int = 3,
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response_type: str = None,
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**kwargs,
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):
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"""
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Converts a string to a Pydantic model using an AGiXT agent.
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Args:
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input_string (str): The string to convert to a model.
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model (Type[BaseModel]): The Pydantic model to convert the string to.
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agent_name (str): The name of the AGiXT agent to use for the conversion.
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max_failures (int): The maximum number of times to retry the conversion if it fails.
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response_type (str): The type of response to return. Either 'json' or None. None will return the model.
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**kwargs: Additional arguments to pass to the AGiXT agent as prompt arguments.
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"""
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input_string = str(input_string)
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fields = model.__annotations__
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field_descriptions = []
@@ -1695,12 +1708,17 @@ def convert_to_model(
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description += f" (Enum values: {enum_values})"
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field_descriptions.append(description)
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schema = "\n".join(field_descriptions)
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if "user_input" in kwargs:
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del kwargs["user_input"]
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if "schema" in kwargs:
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del kwargs["schema"]
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response = self.prompt_agent(
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agent_name=agent_name,
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prompt_name="Convert to Pydantic Model",
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prompt_name="Convert to Model",
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prompt_args={
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"schema": schema,
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"user_input": input_string,
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**kwargs,
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},
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)
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if "```json" in response:
@@ -1735,6 +1753,7 @@ def convert_to_model(
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model=model,
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agent_name=agent_name,
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max_failures=max_failures,
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**kwargs,
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)
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def convert_list_of_dicts(

setup.py

Lines changed: 1 addition & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -8,7 +8,7 @@
88

99
setup(
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name="agixtsdk",
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version="0.0.61",
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version="0.0.62",
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description="The AGiXT SDK for Python.",
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long_description=long_description,
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long_description_content_type="text/markdown",

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