Struct AnthropicModel

pub struct AnthropicModel {
    pub messages: Option<Vec<OpenAiMessage>>,
    pub tools: Option<Vec<AnyscaleModelToolsInner>>,
    pub tool_ids: Option<Vec<String>>,
    pub knowledge_base: Option<CreateCustomKnowledgeBaseDto>,
    pub knowledge_base_id: Option<String>,
    pub model: ModelTrue,
    pub provider: ProviderTrue,
    pub thinking: Option<AnthropicThinkingConfig>,
    pub temperature: Option<f64>,
    pub max_tokens: Option<f64>,
    pub emotion_recognition_enabled: Option<bool>,
    pub num_fast_turns: Option<f64>,
}

Fields

messages: Option<Vec<OpenAiMessage>>

This is the starting state for the conversation.

tools: Option<Vec<AnyscaleModelToolsInner>>

These are the tools that the assistant can use during the call. To use existing tools, use toolIds. Both tools and toolIds can be used together.

tool_ids: Option<Vec<String>>

These are the tools that the assistant can use during the call. To use transient tools, use tools. Both tools and toolIds can be used together.

knowledge_base: Option<CreateCustomKnowledgeBaseDto>

knowledge_base_id: Option<String>

This is the ID of the knowledge base the model will use.

model: ModelTrue

The specific Anthropic/Claude model that will be used.

provider: ProviderTrue

The provider identifier for Anthropic.

thinking: Option<AnthropicThinkingConfig>

Optional configuration for Anthropic’s thinking feature. Only applicable for claude-3-7-sonnet-20250219 model. If provided, maxTokens must be greater than thinking.budgetTokens.

temperature: Option<f64>

This is the temperature that will be used for calls. Default is 0 to leverage caching for lower latency.

max_tokens: Option<f64>

This is the max number of tokens that the assistant will be allowed to generate in each turn of the conversation. Default is 250.

emotion_recognition_enabled: Option<bool>

This determines whether we detect user’s emotion while they speak and send it as an additional info to model. Default false because the model is usually are good at understanding the user’s emotion from text. @default false

num_fast_turns: Option<f64>

This sets how many turns at the start of the conversation to use a smaller, faster model from the same provider before switching to the primary model. Example, gpt-3.5-turbo if provider is openai. Default is 0. @default 0

Implementations

impl AnthropicModel

pub fn new(model: ModelTrue, provider: ProviderTrue) -> AnthropicModel

Trait Implementations

impl Clone for AnthropicModel

fn clone(&self) -> AnthropicModel

Returns a duplicate of the value.

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

Performs copy-assignment from source.

impl Debug for AnthropicModel

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

Formats the value using the given formatter.

impl Default for AnthropicModel

fn default() -> AnthropicModel

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for AnthropicModel

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

where __D: Deserializer<'de>,

Deserialize this value from the given Serde deserializer.

impl PartialEq for AnthropicModel

fn eq(&self, other: &AnthropicModel) -> 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 AnthropicModel

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 AnthropicModel