prebuilt.scientific_paper_agent.tools

Attributes

Classes

SearchPapersInput

!!! abstract "Usage Documentation"

Functions

ask_human_feedback(→ str)

Ask for human feedback. You should call this tool when encountering unexpected errors.

download_paper(→ str)

Download a specific scientific paper from a given URL.

search_papers(→ str)

Search for scientific papers using the CORE API.

Module Contents

class prebuilt.scientific_paper_agent.tools.SearchPapersInput(/, **data: Any)

Bases: pydantic.BaseModel

!!! abstract “Usage Documentation”

[Models](../concepts/models.md)

A base class for creating Pydantic models.

__class_vars__

The names of the class variables defined on the model.

__private_attributes__

Metadata about the private attributes of the model.

__signature__

The synthesized __init__ [Signature][inspect.Signature] of the model.

__pydantic_complete__

Whether model building is completed, or if there are still undefined fields.

__pydantic_core_schema__

The core schema of the model.

__pydantic_custom_init__

Whether the model has a custom __init__ function.

__pydantic_decorators__

Metadata containing the decorators defined on the model. This replaces Model.__validators__ and Model.__root_validators__ from Pydantic V1.

__pydantic_generic_metadata__

Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these.

__pydantic_parent_namespace__

Parent namespace of the model, used for automatic rebuilding of models.

__pydantic_post_init__

The name of the post-init method for the model, if defined.

__pydantic_root_model__

Whether the model is a [RootModel][pydantic.root_model.RootModel].

__pydantic_serializer__

The pydantic-core SchemaSerializer used to dump instances of the model.

__pydantic_validator__

The pydantic-core SchemaValidator used to validate instances of the model.

__pydantic_fields__

A dictionary of field names and their corresponding [FieldInfo][pydantic.fields.FieldInfo] objects.

__pydantic_computed_fields__

A dictionary of computed field names and their corresponding [ComputedFieldInfo][pydantic.fields.ComputedFieldInfo] objects.

__pydantic_extra__

A dictionary containing extra values, if [extra][pydantic.config.ConfigDict.extra] is set to ‘allow’.

__pydantic_fields_set__

The names of fields explicitly set during instantiation.

__pydantic_private__

Values of private attributes set on the model instance.

max_papers: int = 1
query: str
prebuilt.scientific_paper_agent.tools.ask_human_feedback(question: str) str

Ask for human feedback. You should call this tool when encountering unexpected errors.

prebuilt.scientific_paper_agent.tools.download_paper(url: str) str

Download a specific scientific paper from a given URL.

Examples: {“url”: “https://sample.pdf”}

Returns:

The paper content.

prebuilt.scientific_paper_agent.tools.search_papers(query: str, max_papers: int = 1) str

Search for scientific papers using the CORE API.

Examples: {“query”: “Attention is all you need”, “max_papers”: 1}

Returns:

A list of the relevant papers found with the corresponding relevant information.

prebuilt.scientific_paper_agent.tools.CoreAPIWrapper = None
prebuilt.scientific_paper_agent.tools.tools
prebuilt.scientific_paper_agent.tools.tools_dict