feat: agent brain (ollama) and chat ui
This commit is contained in:
Dave
243
src-tauri/src/commands/chat.rs
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243
src-tauri/src/commands/chat.rs
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@@ -0,0 +1,243 @@
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use crate::commands::{fs, search, shell};
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use crate::llm::ollama::OllamaProvider;
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use crate::llm::types::{
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Message, ModelProvider, Role, ToolCall, ToolDefinition, ToolFunctionDefinition,
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};
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use crate::state::SessionState;
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use serde::{Deserialize, Serialize};
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use serde_json::json;
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use tauri::State;
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#[derive(Deserialize)]
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pub struct ProviderConfig {
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pub provider: String, // "ollama"
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pub model: String,
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pub base_url: Option<String>,
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}
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const MAX_TURNS: usize = 10;
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#[tauri::command]
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pub async fn chat(
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messages: Vec<Message>,
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config: ProviderConfig,
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state: State<'_, SessionState>,
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) -> Result<Vec<Message>, String> {
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// 1. Setup Provider
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let provider: Box<dyn ModelProvider> = match config.provider.as_str() {
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"ollama" => Box::new(OllamaProvider::new(
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config
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.base_url
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.unwrap_or_else(|| "http://localhost:11434".to_string()),
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)),
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_ => return Err(format!("Unsupported provider: {}", config.provider)),
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};
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// 2. Define Tools
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let tools = get_tool_definitions();
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// 3. Agent Loop
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let mut current_history = messages.clone();
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let mut new_messages: Vec<Message> = Vec::new();
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let mut turn_count = 0;
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loop {
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if turn_count >= MAX_TURNS {
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return Err("Max conversation turns reached.".to_string());
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}
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turn_count += 1;
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// Call LLM
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let response = provider
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.chat(&config.model, ¤t_history, &tools)
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.map_err(|e| format!("LLM Error: {}", e))?;
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// Process Response
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if let Some(tool_calls) = response.tool_calls {
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// The Assistant wants to run tools
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let assistant_msg = Message {
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role: Role::Assistant,
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content: response.content.unwrap_or_default(),
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tool_calls: Some(tool_calls.clone()),
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tool_call_id: None,
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};
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current_history.push(assistant_msg.clone());
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new_messages.push(assistant_msg);
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// Execute Tools
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for call in tool_calls {
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let output = execute_tool(&call, &state).await;
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let tool_msg = Message {
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role: Role::Tool,
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content: output,
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tool_calls: None,
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// For Ollama/Simple flow, we just append.
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// For OpenAI strict, this needs to match call.id.
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tool_call_id: call.id,
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};
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current_history.push(tool_msg.clone());
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new_messages.push(tool_msg);
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}
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} else {
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// Final text response
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let assistant_msg = Message {
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role: Role::Assistant,
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content: response.content.unwrap_or_default(),
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tool_calls: None,
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tool_call_id: None,
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};
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// We don't push to current_history needed for next loop, because we are done.
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new_messages.push(assistant_msg);
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break;
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}
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}
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Ok(new_messages)
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}
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async fn execute_tool(call: &ToolCall, state: &State<'_, SessionState>) -> String {
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let name = call.function.name.as_str();
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// Parse arguments. They come as a JSON string from the LLM abstraction.
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let args: serde_json::Value = match serde_json::from_str(&call.function.arguments) {
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Ok(v) => v,
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Err(e) => return format!("Error parsing arguments: {}", e),
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};
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match name {
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"read_file" => {
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let path = args["path"].as_str().unwrap_or("").to_string();
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match fs::read_file(path, state.clone()).await {
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Ok(content) => content,
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Err(e) => format!("Error: {}", e),
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}
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}
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"write_file" => {
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let path = args["path"].as_str().unwrap_or("").to_string();
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let content = args["content"].as_str().unwrap_or("").to_string();
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match fs::write_file(path, content, state.clone()).await {
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Ok(_) => "File written successfully.".to_string(),
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Err(e) => format!("Error: {}", e),
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}
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}
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"list_directory" => {
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let path = args["path"].as_str().unwrap_or("").to_string();
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match fs::list_directory(path, state.clone()).await {
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Ok(entries) => serde_json::to_string(&entries).unwrap_or_default(),
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Err(e) => format!("Error: {}", e),
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}
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}
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"search_files" => {
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let query = args["query"].as_str().unwrap_or("").to_string();
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match search::search_files(query, state.clone()).await {
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Ok(results) => serde_json::to_string(&results).unwrap_or_default(),
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Err(e) => format!("Error: {}", e),
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}
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}
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"exec_shell" => {
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let command = args["command"].as_str().unwrap_or("").to_string();
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let args_vec: Vec<String> = args["args"]
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.as_array()
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.map(|arr| {
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arr.iter()
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.map(|v| v.as_str().unwrap_or("").to_string())
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.collect()
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})
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.unwrap_or_default();
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match shell::exec_shell(command, args_vec, state.clone()).await {
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Ok(output) => serde_json::to_string(&output).unwrap_or_default(),
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Err(e) => format!("Error: {}", e),
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}
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}
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_ => format!("Unknown tool: {}", name),
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}
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}
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fn get_tool_definitions() -> Vec<ToolDefinition> {
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vec![
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ToolDefinition {
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kind: "function".to_string(),
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function: ToolFunctionDefinition {
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name: "read_file".to_string(),
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description: "Reads the content of a file in the project.".to_string(),
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parameters: json!({
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"type": "object",
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"properties": {
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"path": { "type": "string", "description": "Relative path to the file" }
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},
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"required": ["path"]
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}),
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},
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},
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ToolDefinition {
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kind: "function".to_string(),
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function: ToolFunctionDefinition {
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name: "write_file".to_string(),
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description: "Writes content to a file. Overwrites if exists.".to_string(),
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parameters: json!({
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"type": "object",
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"properties": {
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"path": { "type": "string", "description": "Relative path to the file" },
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"content": { "type": "string", "description": "The full content to write" }
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},
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"required": ["path", "content"]
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}),
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},
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},
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ToolDefinition {
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kind: "function".to_string(),
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function: ToolFunctionDefinition {
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name: "list_directory".to_string(),
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description: "Lists files and directories at a path.".to_string(),
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parameters: json!({
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"type": "object",
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"properties": {
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"path": { "type": "string", "description": "Relative path to list (use '.' for root)" }
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},
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"required": ["path"]
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}),
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},
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},
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ToolDefinition {
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kind: "function".to_string(),
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function: ToolFunctionDefinition {
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name: "search_files".to_string(),
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description: "Searches for text content across all files in the project."
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.to_string(),
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parameters: json!({
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"type": "object",
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"properties": {
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"query": { "type": "string", "description": "The string to search for" }
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},
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"required": ["query"]
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}),
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},
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},
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ToolDefinition {
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kind: "function".to_string(),
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function: ToolFunctionDefinition {
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name: "exec_shell".to_string(),
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description: "Executes a shell command in the project root.".to_string(),
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parameters: json!({
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"type": "object",
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"properties": {
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"command": {
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"type": "string",
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"description": "The command to run (e.g., 'git', 'cargo', 'ls')"
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},
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"args": {
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"type": "array",
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"items": { "type": "string" },
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"description": "Arguments for the command"
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}
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},
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"required": ["command", "args"]
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}),
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},
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},
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]
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}
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@@ -1,3 +1,4 @@
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pub mod chat;
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pub mod fs;
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pub mod search;
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pub mod shell;
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