auto setup

This commit is contained in:
Michael Neale
2025-09-15 13:19:02 -07:00
parent cedd565177
commit 8e821d0a5b
4 changed files with 102 additions and 0 deletions

1
Cargo.lock generated
View File

@@ -720,6 +720,7 @@ version = "0.1.0"
dependencies = [
"anyhow",
"config",
"dirs 5.0.1",
"serde",
"shellexpand",
"thiserror 1.0.69",

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@@ -11,3 +11,4 @@ anyhow = { workspace = true }
thiserror = { workspace = true }
toml = "0.8"
shellexpand = "3.0"
dirs = "5.0"

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@@ -71,6 +71,50 @@ impl Default for Config {
impl Config {
pub fn load(config_path: Option<&str>) -> Result<Self> {
// Check if any config file exists
let config_exists = if let Some(path) = config_path {
Path::new(path).exists()
} else {
// Check default locations
let default_paths = [
"./g3.toml",
"~/.config/g3/config.toml",
"~/.g3.toml",
];
default_paths.iter().any(|path| {
let expanded_path = shellexpand::tilde(path);
Path::new(expanded_path.as_ref()).exists()
})
};
// If no config exists, create and save a default Qwen config
if !config_exists {
let qwen_config = Self::default_qwen_config();
// Save to default location
let config_dir = dirs::home_dir()
.map(|mut path| {
path.push(".config");
path.push("g3");
path
})
.unwrap_or_else(|| std::path::PathBuf::from("."));
// Create directory if it doesn't exist
std::fs::create_dir_all(&config_dir).ok();
let config_file = config_dir.join("config.toml");
if let Err(e) = qwen_config.save(config_file.to_str().unwrap()) {
eprintln!("Warning: Could not save default config: {}", e);
} else {
println!("Created default Qwen configuration at: {}", config_file.display());
}
return Ok(qwen_config);
}
// Existing config loading logic
let mut settings = config::Config::builder();
// Load default configuration
@@ -108,6 +152,30 @@ impl Config {
Ok(config)
}
fn default_qwen_config() -> Self {
Self {
providers: ProvidersConfig {
openai: None,
anthropic: None,
embedded: Some(EmbeddedConfig {
model_path: "~/.cache/g3/models/qwen2.5-7b-instruct-q3_k_m.gguf".to_string(),
model_type: "qwen".to_string(),
context_length: Some(32768), // Qwen2.5 supports 32k context
max_tokens: Some(2048),
temperature: Some(0.1),
gpu_layers: Some(32),
threads: Some(8),
}),
default_provider: "embedded".to_string(),
},
agent: AgentConfig {
max_context_length: 8192,
enable_streaming: true,
timeout_seconds: 60,
},
}
}
pub fn save(&self, path: &str) -> Result<()> {
let toml_string = toml::to_string_pretty(self)?;
std::fs::write(path, toml_string)?;

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@@ -0,0 +1,32 @@
{
"context_window": {
"conversation_history": [
{
"content": "You are G3, a general-purpose AI agent. Your goal is to analyze and solve problems by writing code.\n\n# Tool Call Format\n\nWhen you need to execute a tool, write ONLY the JSON tool call on a new line:\n\n{\"tool\": \"tool_name\", \"args\": {\"param\": \"value\"}}\n\nThe tool will execute immediately and you'll receive the result (success or error) to continue with.\n\n# Available Tools\n\n- **shell**: Execute shell commands\n - Format: {\"tool\": \"shell\", \"args\": {\"command\": \"your_command_here\"}}\n - Example: {\"tool\": \"shell\", \"args\": {\"command\": \"ls ~/Downloads\"}}\n\n- **final_output**: Signal task completion with a detailed summary of work done in markdown format\n - Format: {\"tool\": \"final_output\", \"args\": {\"summary\": \"what_was_accomplished\"}}\n\n# Instructions\n\n1. Analyze the request and break down into smaller tasks if appropriate\n2. Execute ONE tool at a time\n3. STOP when the original request was satisfied\n4. Call the final_output tool when done\n\n# Response Guidelines\n\n- Use Markdown formatting for all responses except tool calls.\n- Whenever taking actions, use the pronoun 'I'\n\n",
"role": "system"
},
{
"content": "Task: hello test",
"role": "user"
},
{
"content": "I will start by executing a simple task as requested. Let's print \"Hello, Test\" to confirm the task is understood and can be executed.\n\n{\"tool\": \"shell\", \"args\": {\"command\":\"echo Hello, Test\"}}",
"role": "assistant"
},
{
"content": "Tool result: Hello, Test",
"role": "user"
},
{
"content": "I will start by executing a simple task as requested. Let's print \"Hello, Test\" to confirm the task is understood and can be executed.\n\nTool executed: shell -> Hello, Test\n\n{\"tool\": \"final_output\", \"args\": {\"summary\": \"# Task Accomplished\n\nThe task 'hello test' was successfully executed. The output was:\n\n```\nHello, Test\n```\n\nThis confirms that the request was understood and completed as intended.\"}}",
"role": "assistant"
}
],
"percentage_used": 0.9185791015625,
"total_tokens": 32768,
"used_tokens": 301
},
"session_id": "hello_test_a63e133911916b31",
"status": "completed",
"timestamp": 1757966669
}