vapi_client/models/
google_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 GoogleModel {
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    /// This is the Google model that will be used.
31    #[serde(rename = "model")]
32    pub model: Model,
33    #[serde(rename = "provider")]
34    pub provider: Provider,
35    /// This is the session configuration for the Gemini Flash 2.0 Multimodal Live API. Only applicable if the model `gemini-2.0-flash-realtime-exp` is selected.
36    #[serde(rename = "realtimeConfig", skip_serializing_if = "Option::is_none")]
37    pub realtime_config: Option<Box<models::GoogleRealtimeConfig>>,
38    /// This is the temperature that will be used for calls. Default is 0 to leverage caching for lower latency.
39    #[serde(rename = "temperature", skip_serializing_if = "Option::is_none")]
40    pub temperature: Option<f64>,
41    /// This is the max number of tokens that the assistant will be allowed to generate in each turn of the conversation. Default is 250.
42    #[serde(rename = "maxTokens", skip_serializing_if = "Option::is_none")]
43    pub max_tokens: Option<f64>,
44    /// 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
45    #[serde(rename = "emotionRecognitionEnabled", skip_serializing_if = "Option::is_none")]
46    pub emotion_recognition_enabled: Option<bool>,
47    /// 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
48    #[serde(rename = "numFastTurns", skip_serializing_if = "Option::is_none")]
49    pub num_fast_turns: Option<f64>,
50}
51
52impl GoogleModel {
53    pub fn new(model: Model, provider: Provider) -> GoogleModel {
54        GoogleModel {
55            messages: None,
56            tools: None,
57            tool_ids: None,
58            knowledge_base: None,
59            knowledge_base_id: None,
60            model,
61            provider,
62            realtime_config: None,
63            temperature: None,
64            max_tokens: None,
65            emotion_recognition_enabled: None,
66            num_fast_turns: None,
67        }
68    }
69}
70/// This is the Google model that will be used.
71#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
72pub enum Model {
73    #[serde(rename = "gemini-2.0-flash-thinking-exp")]
74    Gemini2Period0FlashThinkingExp,
75    #[serde(rename = "gemini-2.0-pro-exp-02-05")]
76    Gemini2Period0ProExp0205,
77    #[serde(rename = "gemini-2.0-flash")]
78    Gemini2Period0Flash,
79    #[serde(rename = "gemini-2.0-flash-lite")]
80    Gemini2Period0FlashLite,
81    #[serde(rename = "gemini-2.0-flash-lite-preview-02-05")]
82    Gemini2Period0FlashLitePreview0205,
83    #[serde(rename = "gemini-2.0-flash-exp")]
84    Gemini2Period0FlashExp,
85    #[serde(rename = "gemini-2.0-flash-realtime-exp")]
86    Gemini2Period0FlashRealtimeExp,
87    #[serde(rename = "gemini-1.5-flash")]
88    Gemini1Period5Flash,
89    #[serde(rename = "gemini-1.5-flash-002")]
90    Gemini1Period5Flash002,
91    #[serde(rename = "gemini-1.5-pro")]
92    Gemini1Period5Pro,
93    #[serde(rename = "gemini-1.5-pro-002")]
94    Gemini1Period5Pro002,
95    #[serde(rename = "gemini-1.0-pro")]
96    Gemini1Period0Pro,
97}
98
99impl Default for Model {
100    fn default() -> Model {
101        Self::Gemini2Period0FlashThinkingExp
102    }
103}
104/// 
105#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
106pub enum Provider {
107    #[serde(rename = "google")]
108    Google,
109}
110
111impl Default for Provider {
112    fn default() -> Provider {
113        Self::Google
114    }
115}
116
vapi_client/models/google_model.rs

vapi_client/models/
google_model.rs
