vapi_client/models/
open_router_model.rs

1/*
2 * Vapi API
3 *
4 * API for building voice assistants
5 *
6 * The version of the OpenAPI document: 1.0
7 *
8 * Generated by: https://openapi-generator.tech
9 */
10
11use serde::{Deserialize, Serialize};
12
13use crate::models;
14
15#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
16pub struct OpenRouterModel {
17    /// This is the starting state for the conversation.
18    #[serde(rename = "messages", skip_serializing_if = "Option::is_none")]
19    pub messages: Option<Vec<models::OpenAiMessage>>,
20    /// 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.
21    #[serde(rename = "tools", skip_serializing_if = "Option::is_none")]
22    pub tools: Option<Vec<models::AnyscaleModelToolsInner>>,
23    /// 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.
24    #[serde(rename = "toolIds", skip_serializing_if = "Option::is_none")]
25    pub tool_ids: Option<Vec<String>>,
26    #[serde(rename = "knowledgeBase", skip_serializing_if = "Option::is_none")]
27    pub knowledge_base: Option<models::AnyscaleModelKnowledgeBase>,
28    /// This is the ID of the knowledge base the model will use.
29    #[serde(rename = "knowledgeBaseId", skip_serializing_if = "Option::is_none")]
30    pub knowledge_base_id: Option<String>,
31    #[serde(rename = "provider")]
32    pub provider: Provider,
33    /// This is the name of the model. Ex. cognitivecomputations/dolphin-mixtral-8x7b
34    #[serde(rename = "model")]
35    pub model: String,
36    /// This is the temperature that will be used for calls. Default is 0 to leverage caching for lower latency.
37    #[serde(rename = "temperature", skip_serializing_if = "Option::is_none")]
38    pub temperature: Option<f64>,
39    /// This is the max number of tokens that the assistant will be allowed to generate in each turn of the conversation. Default is 250.
40    #[serde(rename = "maxTokens", skip_serializing_if = "Option::is_none")]
41    pub max_tokens: Option<f64>,
42    /// 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
43    #[serde(
44        rename = "emotionRecognitionEnabled",
45        skip_serializing_if = "Option::is_none"
46    )]
47    pub emotion_recognition_enabled: Option<bool>,
48    /// 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
49    #[serde(rename = "numFastTurns", skip_serializing_if = "Option::is_none")]
50    pub num_fast_turns: Option<f64>,
51}
52
53impl OpenRouterModel {
54    pub fn new(provider: Provider, model: String) -> OpenRouterModel {
55        OpenRouterModel {
56            messages: None,
57            tools: None,
58            tool_ids: None,
59            knowledge_base: None,
60            knowledge_base_id: None,
61            provider,
62            model,
63            temperature: None,
64            max_tokens: None,
65            emotion_recognition_enabled: None,
66            num_fast_turns: None,
67        }
68    }
69}
70///
71#[derive(Clone, Copy, Debug, Eq, PartialEq, Ord, PartialOrd, Hash, Serialize, Deserialize)]
72pub enum Provider {
73    #[serde(rename = "openrouter")]
74    Openrouter,
75}
76
77impl Default for Provider {
78    fn default() -> Provider {
79        Self::Openrouter
80    }
81}
vapi_client/models/open_router_model.rs

vapi_client/models/
open_router_model.rs
