vapi_client/models/
together_ai_model.rs

1/*
2 * Vapi API
3 *
4 * Voice AI for developers.
5 *
6 * The version of the OpenAPI document: 1.0
7 * 
8 * Generated by: https://openapi-generator.tech
9 */
10
11use crate::models;
12use serde::{Deserialize, Serialize};
13
14#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
15pub struct TogetherAiModel {
16    /// This is the starting state for the conversation.
17    #[serde(rename = "messages", skip_serializing_if = "Option::is_none")]
18    pub messages: Option<Vec<models::OpenAiMessage>>,
19    /// 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.
20    #[serde(rename = "tools", skip_serializing_if = "Option::is_none")]
21    pub tools: Option<Vec<models::AnyscaleModelToolsInner>>,
22    /// 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.
23    #[serde(rename = "toolIds", skip_serializing_if = "Option::is_none")]
24    pub tool_ids: Option<Vec<String>>,
25    #[serde(rename = "knowledgeBase", skip_serializing_if = "Option::is_none")]
26    pub knowledge_base: Option<Box<models::AnyscaleModelKnowledgeBase>>,
27    /// This is the ID of the knowledge base the model will use.
28    #[serde(rename = "knowledgeBaseId", skip_serializing_if = "Option::is_none")]
29    pub knowledge_base_id: Option<String>,
30    #[serde(rename = "provider")]
31    pub provider: Provider,
32    /// This is the name of the model. Ex. cognitivecomputations/dolphin-mixtral-8x7b
33    #[serde(rename = "model")]
34    pub model: String,
35    /// This is the temperature that will be used for calls. Default is 0 to leverage caching for lower latency.
36    #[serde(rename = "temperature", skip_serializing_if = "Option::is_none")]
37    pub temperature: Option<f64>,
38    /// This is the max number of tokens that the assistant will be allowed to generate in each turn of the conversation. Default is 250.
39    #[serde(rename = "maxTokens", skip_serializing_if = "Option::is_none")]
40    pub max_tokens: Option<f64>,
41    /// 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
42    #[serde(rename = "emotionRecognitionEnabled", skip_serializing_if = "Option::is_none")]
43    pub emotion_recognition_enabled: Option<bool>,
44    /// 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
45    #[serde(rename = "numFastTurns", skip_serializing_if = "Option::is_none")]
46    pub num_fast_turns: Option<f64>,
47}
48
49impl TogetherAiModel {
50    pub fn new(provider: Provider, model: String) -> TogetherAiModel {
51        TogetherAiModel {
52            messages: None,
53            tools: None,
54            tool_ids: None,
55            knowledge_base: None,
56            knowledge_base_id: None,
57            provider,
58            model,
59            temperature: None,
60            max_tokens: None,
61            emotion_recognition_enabled: None,
62            num_fast_turns: None,
63        }
64    }
65}
66/// 
67#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
68pub enum Provider {
69    #[serde(rename = "together-ai")]
70    TogetherAi,
71}
72
73impl Default for Provider {
74    fn default() -> Provider {
75        Self::TogetherAi
76    }
77}
78
vapi_client/models/together_ai_model.rs

vapi_client/models/
together_ai_model.rs
