feat: support multi bots and custom url (#150)

1 files changed, 181 insertions, 0 deletions

diff --git a/src/client/localai.rs b/src/client/localai.rs
new file mode 100644
index 0000000..4375c1d
--- /dev/null
+++ b/src/client/localai.rs
@@ -0,0 +1,181 @@
+use super::openai::{openai_send_message, openai_send_message_streaming};
+use super::{Client, ModelInfo};
+
+use crate::config::SharedConfig;
+use crate::repl::ReplyStreamHandler;
+
+use anyhow::{anyhow, Context, Result};
+use async_trait::async_trait;
+use inquire::{Confirm, Text};
+use reqwest::{Client as ReqwestClient, Proxy, RequestBuilder};
+use serde::Deserialize;
+use serde_json::json;
+use std::time::Duration;
+use tokio::runtime::Runtime;
+
+#[allow(clippy::module_name_repetitions)]
+#[derive(Debug)]
+pub struct LocalAIClient {
+    global_config: SharedConfig,
+    local_config: LocalAIConfig,
+    model_info: ModelInfo,
+    runtime: Runtime,
+}
+
+#[derive(Debug, Clone, Deserialize)]
+pub struct LocalAIConfig {
+    pub url: String,
+    pub api_key: Option<String>,
+    pub models: Vec<LocalAIModel>,
+    pub proxy: Option<String>,
+    /// Set a timeout in seconds for connect to server
+    pub connect_timeout: Option<u64>,
+}
+
+#[derive(Debug, Clone, Deserialize)]
+pub struct LocalAIModel {
+    name: String,
+    max_tokens: usize,
+}
+
+#[async_trait]
+impl Client for LocalAIClient {
+    fn get_config(&self) -> &SharedConfig {
+        &self.global_config
+    }
+
+    fn get_runtime(&self) -> &Runtime {
+        &self.runtime
+    }
+
+    async fn send_message_inner(&self, content: &str) -> Result<String> {
+        let builder = self.request_builder(content, false)?;
+        openai_send_message(builder).await
+    }
+
+    async fn send_message_streaming_inner(
+        &self,
+        content: &str,
+        handler: &mut ReplyStreamHandler,
+    ) -> Result<()> {
+        let builder = self.request_builder(content, true)?;
+        openai_send_message_streaming(builder, handler).await
+    }
+}
+
+impl LocalAIClient {
+    pub fn new(
+        global_config: SharedConfig,
+        local_config: LocalAIConfig,
+        model_info: ModelInfo,
+        runtime: Runtime,
+    ) -> Self {
+        Self {
+            global_config,
+            local_config,
+            model_info,
+            runtime,
+        }
+    }
+
+    pub fn name() -> &'static str {
+        "localai"
+    }
+
+    pub fn list_models(local_config: &LocalAIConfig) -> Vec<(String, usize)> {
+        local_config
+            .models
+            .iter()
+            .map(|v| (v.name.to_string(), v.max_tokens))
+            .collect()
+    }
+
+    pub fn create_config() -> Result<String> {
+        let mut client_config = format!("clients:\n  - type: {}\n", Self::name());
+
+        let url = Text::new("URL:")
+            .prompt()
+            .map_err(|_| anyhow!("An error happened when asking for url, try again later."))?;
+
+        client_config.push_str(&format!("    url: {url}\n"));
+
+        let ans = Confirm::new("Use auth?")
+            .with_default(false)
+            .prompt()
+            .map_err(|_| anyhow!("Not finish questionnaire, try again later."))?;
+
+        if ans {
+            let api_key = Text::new("API key:").prompt().map_err(|_| {
+                anyhow!("An error happened when asking for api key, try again later.")
+            })?;
+
+            client_config.push_str(&format!("    api_key: {api_key}\n"));
+        }
+
+        let model_name = Text::new("Model Name:").prompt().map_err(|_| {
+            anyhow!("An error happened when asking for model name, try again later.")
+        })?;
+
+        let max_tokens = Text::new("Max tokens:").prompt().map_err(|_| {
+            anyhow!("An error happened when asking for max tokens, try again later.")
+        })?;
+
+        let ans = Confirm::new("Use proxy?")
+            .with_default(false)
+            .prompt()
+            .map_err(|_| anyhow!("Not finish questionnaire, try again later."))?;
+
+        if ans {
+            let proxy = Text::new("Set proxy:").prompt().map_err(|_| {
+                anyhow!("An error happened when asking for proxy, try again later.")
+            })?;
+            client_config.push_str(&format!("    proxy: {proxy}\n"));
+        }
+
+        client_config.push_str(&format!(
+            "    models:\n      - name: {model_name}\n        max_tokens: {max_tokens}\n"
+        ));
+
+        Ok(client_config)
+    }
+
+    fn request_builder(&self, content: &str, stream: bool) -> Result<RequestBuilder> {
+        let messages = self.global_config.read().build_messages(content)?;
+
+        let mut body = json!({
+            "model": self.model_info.name,
+            "messages": messages,
+        });
+
+        if let Some(v) = self.global_config.read().get_temperature() {
+            body.as_object_mut()
+                .and_then(|m| m.insert("temperature".into(), json!(v)));
+        }
+
+        if stream {
+            body.as_object_mut()
+                .and_then(|m| m.insert("stream".into(), json!(true)));
+        }
+
+        let client = {
+            let mut builder = ReqwestClient::builder();
+            if let Some(proxy) = &self.local_config.proxy {
+                builder = builder
+                    .proxy(Proxy::all(proxy).with_context(|| format!("Invalid proxy `{proxy}`"))?);
+            }
+            let timeout = Duration::from_secs(self.local_config.connect_timeout.unwrap_or(10));
+            builder
+                .connect_timeout(timeout)
+                .build()
+                .with_context(|| "Failed to build client")?
+        };
+
+        let mut builder = client.post(&self.local_config.url);
+        if let Some(api_key) = &self.local_config.api_key {
+            builder = builder.bearer_auth(api_key);
+        };
+        builder = builder.json(&body);
+
+        Ok(builder)
+    }
+}