schemas#
Schemas for the LangSmith API.
Classes
API feedback source. |
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Represents an annotation queue. |
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Annotated type that will be stored as an attachment if used. |
Configuration for batch ingestion. |
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Represents a comparative experiment. |
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Enum for dataset data types. |
Dataset ORM model. |
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Dataset base model. |
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Represents the difference information between two datasets. |
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Represents the schema for a dataset share. |
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Class representing a dataset version. |
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Example model. |
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Example base model. |
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Example create model. |
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Example returned via search. |
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Update class for Example. |
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Schema for getting feedback. |
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Feedback schema. |
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Specific value and label pair for feedback. |
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Represents _how_ a feedback value ought to be interpreted. |
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Schema used for creating feedback. |
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Represents the schema for a feedback ingest token. |
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Base class for feedback sources. |
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Feedback source type. |
Breakdown of input token counts. |
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Information about the LangSmith server. |
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Settings for the LangSmith tenant. |
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A list of prompts with metadata. |
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Represents a listed prompt commit with associated metadata. |
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Model feedback source. |
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Breakdown of output token counts. |
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Represents a Prompt with metadata. |
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Represents a Prompt with a manifest. |
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Enum for sorting fields for prompts. |
Run schema when loading from the DB. |
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Base Run schema. |
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Run event schema. |
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Run schema with annotation queue info. |
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Timedelta input schema. |
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TracerSession schema for the API. |
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A project, hydrated with additional information. |
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Usage metadata for a message, such as token counts. |