1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
|
use super::{PaLMClient, Client, ExtraConfig, Model, PromptType, SendData, TokensCountFactors, send_message_as_streaming};
use crate::{config::GlobalConfig, render::ReplyHandler, utils::PromptKind};
use anyhow::{anyhow, bail, Result};
use async_trait::async_trait;
use reqwest::{Client as ReqwestClient, RequestBuilder};
use serde::Deserialize;
use serde_json::{json, Value};
const API_BASE: &str = "https://generativelanguage.googleapis.com/v1beta2";
const MODELS: [(&str, usize, &str); 1] = [("chat-bison-001", 4096, "/models/chat-bison-001")];
const TOKENS_COUNT_FACTORS: TokensCountFactors = (3, 8);
#[derive(Debug, Clone, Deserialize, Default)]
pub struct PaLMConfig {
pub name: Option<String>,
pub api_key: Option<String>,
pub extra: Option<ExtraConfig>,
}
#[async_trait]
impl Client for PaLMClient {
fn config(&self) -> (&GlobalConfig, &Option<ExtraConfig>) {
(&self.global_config, &self.config.extra)
}
async fn send_message_inner(&self, client: &ReqwestClient, data: SendData) -> Result<String> {
let builder = self.request_builder(client, data)?;
send_message(builder).await
}
async fn send_message_streaming_inner(
&self,
client: &ReqwestClient,
handler: &mut ReplyHandler,
data: SendData,
) -> Result<()> {
let builder = self.request_builder(client, data)?;
send_message_as_streaming(builder, handler, send_message).await
}
}
impl PaLMClient {
config_get_fn!(api_key, get_api_key);
pub const PROMPTS: [PromptType<'static>; 1] =
[("api_key", "API Key:", true, PromptKind::String)];
pub fn list_models(local_config: &PaLMConfig, client_index: usize) -> Vec<Model> {
let client_name = Self::name(local_config);
MODELS
.into_iter()
.map(|(name, max_tokens, _)| {
Model::new(client_index, client_name, name)
.set_max_tokens(Some(max_tokens))
.set_tokens_count_factors(TOKENS_COUNT_FACTORS)
})
.collect()
}
fn request_builder(&self, client: &ReqwestClient, data: SendData) -> Result<RequestBuilder> {
let api_key = self.get_api_key()?;
let body = build_body(data, self.model.llm_name.clone());
let model = self.model.llm_name.clone();
let (_, _, endpoint) = MODELS
.iter()
.find(|(v, _, _)| v == &model)
.ok_or_else(|| anyhow!("Miss Model '{}' in {}", model, self.model.client_name))?;
let url = format!("{API_BASE}{endpoint}:generateMessage?key={}", api_key);
let builder = client.post(url).json(&body);
Ok(builder)
}
}
async fn send_message(builder: RequestBuilder) -> Result<String> {
let data: Value = builder.send().await?.json().await?;
check_error(&data)?;
let output = data["candidates"][0]["content"]
.as_str()
.ok_or_else(|| {
if let Some(reason) = data["filters"][0]["reason"].as_str() {
anyhow!("Content Filtering: {reason}")
} else {
anyhow!("Unexpected response")
}
})?;
Ok(output.to_string())
}
fn check_error(data: &Value) -> Result<()> {
if let Some(error) = data["error"].as_object() {
if let Some(message) = error["message"].as_str() {
bail!("{message}");
} else {
bail!("Error {}", Value::Object(error.clone()));
}
}
Ok(())
}
fn build_body(data: SendData, _model: String) -> Value {
let SendData {
mut messages,
temperature,
..
} = data;
let mut context = None;
if messages[0].role.is_system() {
let message = messages.remove(0);
context = Some(message.content);
}
let messages: Vec<Value> = messages.into_iter().map(|v| json!({ "content": v.content })).collect();
let mut prompt = json!({ "messages": messages });
if let Some(context) = context {
prompt["context"] = context.into();
};
let mut body = json!({
"prompt": prompt,
});
if let Some(temperature) = temperature {
body["temperature"] = (temperature / 2.0).into();
}
body
}
|
