Struct AgentsCompletionRequest 

pub struct AgentsCompletionRequest {

    pub max_tokens: Option<Option<i32>>,
    pub stream: Option<bool>,
    pub stop: Option<Box<Stop>>,
    pub random_seed: Option<Option<i32>>,
    pub metadata: Option<Option<HashMap<String, Value>>>,
    pub messages: Vec<MessagesInner>,
    pub response_format: Option<Box<ResponseFormat>>,
    pub tools: Option<Option<Vec<Tool>>>,
    pub tool_choice: Option<Box<ToolChoice1>>,
    pub presence_penalty: Option<f64>,
    pub frequency_penalty: Option<f64>,
    pub n: Option<Option<i32>>,
    pub prediction: Option<Box<Prediction>>,
    pub parallel_tool_calls: Option<bool>,
    pub prompt_mode: Option<Option<MistralPromptMode>>,
    pub agent_id: String,
}

Fields

max_tokens: Option<Option<i32>>

stream: Option<bool>

Whether to stream back partial progress. If set, tokens will be sent as data-only server-side events as they become available, with the stream terminated by a data: [DONE] message. Otherwise, the server will hold the request open until the timeout or until completion, with the response containing the full result as JSON.

stop: Option<Box<Stop>>

random_seed: Option<Option<i32>>

metadata: Option<Option<HashMap<String, Value>>>

messages: Vec<MessagesInner>

The prompt(s) to generate completions for, encoded as a list of dict with role and content.

response_format: Option<Box<ResponseFormat>>

tools: Option<Option<Vec<Tool>>>

tool_choice: Option<Box<ToolChoice1>>

presence_penalty: Option<f64>

The presence_penalty determines how much the model penalizes the repetition of words or phrases. A higher presence penalty encourages the model to use a wider variety of words and phrases, making the output more diverse and creative.

frequency_penalty: Option<f64>

The frequency_penalty penalizes the repetition of words based on their frequency in the generated text. A higher frequency penalty discourages the model from repeating words that have already appeared frequently in the output, promoting diversity and reducing repetition.

n: Option<Option<i32>>

prediction: Option<Box<Prediction>>

Enable users to specify expected results, optimizing response times by leveraging known or predictable content. This approach is especially effective for updating text documents or code files with minimal changes, reducing latency while maintaining high-quality results.

parallel_tool_calls: Option<bool>

prompt_mode: Option<Option<MistralPromptMode>>

agent_id: String

The ID of the agent to use for this completion.

Implementations

impl AgentsCompletionRequest

pub fn new( messages: Vec<MessagesInner>, agent_id: String, ) -> AgentsCompletionRequest

Trait Implementations

impl Clone for AgentsCompletionRequest

fn clone(&self) -> AgentsCompletionRequest

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AgentsCompletionRequest

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

Formats the value using the given formatter.

impl Default for AgentsCompletionRequest

fn default() -> AgentsCompletionRequest

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AgentsCompletionRequest

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error>

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for AgentsCompletionRequest

fn eq(&self, other: &AgentsCompletionRequest) -> bool

Tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl Serialize for AgentsCompletionRequest

fn serialize<__S>(&self, __serializer: __S) -> Result<__S::Ok, __S::Error>

where __S: Serializer,

Serialize this value into the given Serde serializer.

impl StructuralPartialEq for AgentsCompletionRequest