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use super::{PaLMClient, Client, ExtraConfig, Model, PromptType, SendData, TokensCountFactors, send_message_as_streaming, MessageContent};
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/models/";
const MODELS: [(&str, usize); 1] = [("chat-bison-001", 4096)];
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) -> Vec<Model> {
let client_name = Self::name(local_config);
MODELS
.into_iter()
.map(|(name, max_tokens)| {
Model::new(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.name.clone());
let model = self.model.name.clone();
let url = format!("{API_BASE}{}:generateMessage?key={}", model, api_key);
debug!("PaLM Request: {url} {body}");
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;
if messages[0].role.is_system() {
let system_message = messages.remove(0);
if let (Some(message), MessageContent::Text(system_text)) = (messages.get_mut(0), system_message.content) {
if let MessageContent::Text(text) = message.content.clone() {
message.content = MessageContent::Text(format!("{}\n\n{}", system_text, text))
}
}
}
let messages: Vec<Value> = messages.into_iter().map(|v| json!({ "content": v.content })).collect();
let prompt = json!({ "messages": messages });
let mut body = json!({
"prompt": prompt,
});
if let Some(temperature) = temperature {
body["temperature"] = (temperature / 2.0).into();
}
body
}
|
