mcp-run-python

from typing_extensions import TypedDict class EmbeddingSettings(TypedDict, total=False): """Common settings for configuring embedding models. These settings apply across multiple embedding model providers. Not all settings are supported by all models - check the specific model's documentation for details. Provider-specific settings classes (e.g., [`OpenAIEmbeddingSettings`][pydantic_ai.embeddings.openai.OpenAIEmbeddingSettings], [`CohereEmbeddingSettings`][pydantic_ai.embeddings.cohere.CohereEmbeddingSettings]) extend this with additional provider-prefixed options. """ dimensions: int """The number of dimensions for the output embeddings. Supported by: * OpenAI * Cohere * Sentence Transformers """ extra_headers: dict[str, str] """Extra headers to send to the model. Supported by: * OpenAI * Cohere """ extra_body: object """Extra body to send to the model. Supported by: * OpenAI * Cohere """ def merge_embedding_settings( base: EmbeddingSettings | None, overrides: EmbeddingSettings | None ) -> EmbeddingSettings | None: """Merge two sets of embedding settings, with overrides taking precedence. Args: base: Base settings (typically from the embedder or model). overrides: Settings that should override the base (typically per-call settings). Returns: Merged settings, or `None` if both inputs are `None`. """ # Note: we may want merge recursively if/when we add non-primitive values if base and overrides: return base | overrides else: return base or overrides