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Options

swiftide_integrations::openai

Struct Options 

Source 
pub struct Options {
    pub embed_model: Option<String>,
    pub prompt_model: Option<String>,
    pub parallel_tool_calls: Option<bool>,
    pub max_completion_tokens: Option<u32>,
    pub temperature: Option<f32>,
    pub reasoning_effort: Option<ReasoningEffort>,
    pub reasoning_features: Option<bool>,
    pub seed: Option<i64>,
    pub presence_penalty: Option<f32>,
    pub metadata: Option<Value>,
    pub user: Option<String>,
    pub dimensions: Option<u32>,
    /* private fields */
}
Available on crate feature openai only.
Expand description

The Options struct holds configuration options for the OpenAI client. It includes optional fields for specifying the embedding and prompt models.

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§embed_model: Option<String>

The default embedding model to use, if specified.

§prompt_model: Option<String>

The default prompt model to use, if specified.

§parallel_tool_calls: Option<bool>

Option to enable or disable parallel tool calls for completions.

At this moment, o1 and o3-mini do not support it and should be set to None.

§max_completion_tokens: Option<u32>

Maximum number of tokens to generate in the completion.

By default, the limit is disabled

§temperature: Option<f32>

Temperature setting for the model.

§reasoning_effort: Option<ReasoningEffort>

Reasoning effor for reasoning models.

§reasoning_features: Option<bool>

Enable reasoning summary/encrypted content handling for the Responses API.

This is enabled by default, but only takes effect when reasoning_effort is set. Disable it with reasoning_features(false) if you do not want summaries or encrypted reasoning stored and replayed.

Note: reasoning summaries/encrypted content require an OpenAI organization that is verified for reasoning access; unverified orgs may receive no summaries.

§seed: Option<i64>

This feature is in Beta. If specified, our system will make a best effort to sample deterministically, such that repeated requests with the same seed and parameters should return the same result. Determinism is not guaranteed, and you should refer to the system_fingerprint response parameter to monitor changes in the backend.

§presence_penalty: Option<f32>

Number between -2.0 and 2.0. Positive values penalize new tokens based on whether they appear in the text so far, increasing the model’s likelihood to talk about new topics.

§metadata: Option<Value>

Developer-defined tags and values used for filtering completions in the dashboard.

§user: Option<String>

A unique identifier representing your end-user, which can help OpenAI to monitor and detect abuse.

§dimensions: Option<u32>

The number of dimensions the resulting output embeddings should have. Only supported in text-embedding-3 and later models.

Implementations§

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impl Options

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pub fn builder() -> OptionsBuilder

Creates a new OptionsBuilder for constructing Options instances.

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pub fn merge(&mut self, other: &Options)

Extends options with other options

Trait Implementations§

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impl Clone for Options

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fn clone(&self) -> Self

Returns a duplicate of the value. Read more
1.0.0 (const: unstable) · Source§

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for Options

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for Options

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fn default() -> Self

Returns the “default value” for a type. Read more
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impl From<&mut OptionsBuilder> for Options

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fn from(value: &mut OptionsBuilder) -> Self

Converts to this type from the input type.
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impl From<OptionsBuilder> for Options

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fn from(value: OptionsBuilder) -> Self

Converts to this type from the input type.

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