nat.embedder.openai_embedder

Classes

OpenAIEmbedderModelConfig

An OpenAI LLM provider to be used with an LLM client.

Functions

openai_embedder_model(config, _builder)

Module Contents

class OpenAIEmbedderModelConfig(/, **data: Any)

Bases: nat.data_models.embedder.EmbedderBaseConfig, nat.data_models.retry_mixin.RetryMixin

An OpenAI LLM provider to be used with an LLM client.

Create a new model by parsing and validating input data from keyword arguments.

Raises [ValidationError][pydantic_core.ValidationError] if the input data cannot be validated to form a valid model.

self is explicitly positional-only to allow self as a field name.

model_config

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

api_key: str | None = None

base_url: str | None = None

model_name: str = None

async openai_embedder_model(

config: OpenAIEmbedderModelConfig,

_builder: nat.builder.builder.Builder,

)