Files
g3/crates/g3-config/src/lib.rs
Jochen 09dbad2d68 allow multiple tool calls, log warnings if there are duplicate calls.
controlled via a flag to the agent config:
allow_multiple_tool_calls = true
2025-11-21 10:49:15 +11:00

411 lines
15 KiB
Rust

use serde::{Deserialize, Serialize};
use anyhow::Result;
use std::path::Path;
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Config {
pub providers: ProvidersConfig,
pub agent: AgentConfig,
pub computer_control: ComputerControlConfig,
pub webdriver: WebDriverConfig,
pub macax: MacAxConfig,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ProvidersConfig {
pub openai: Option<OpenAIConfig>,
/// Multiple named OpenAI-compatible providers (e.g., openrouter, groq, etc.)
#[serde(default)]
pub openai_compatible: std::collections::HashMap<String, OpenAIConfig>,
pub anthropic: Option<AnthropicConfig>,
pub databricks: Option<DatabricksConfig>,
pub embedded: Option<EmbeddedConfig>,
pub default_provider: String,
pub coach: Option<String>, // Provider to use for coach in autonomous mode
pub player: Option<String>, // Provider to use for player in autonomous mode
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct OpenAIConfig {
pub api_key: String,
pub model: String,
pub base_url: Option<String>,
pub max_tokens: Option<u32>,
pub temperature: Option<f32>,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AnthropicConfig {
pub api_key: String,
pub model: String,
pub max_tokens: Option<u32>,
pub temperature: Option<f32>,
pub cache_config: Option<String>, // "ephemeral", "5minute", "1hour", or None to disable
pub enable_1m_context: Option<bool>, // Enable 1m context window (costs extra)
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DatabricksConfig {
pub host: String,
pub token: Option<String>, // Optional - will use OAuth if not provided
pub model: String,
pub max_tokens: Option<u32>,
pub temperature: Option<f32>,
pub use_oauth: Option<bool>, // Default to true if token not provided
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EmbeddedConfig {
pub model_path: String,
pub model_type: String, // e.g., "llama", "mistral", "codellama"
pub context_length: Option<u32>,
pub max_tokens: Option<u32>,
pub temperature: Option<f32>,
pub gpu_layers: Option<u32>, // Number of layers to offload to GPU
pub threads: Option<u32>, // Number of CPU threads to use
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AgentConfig {
pub max_context_length: Option<u32>,
pub fallback_default_max_tokens: usize,
pub enable_streaming: bool,
pub allow_multiple_tool_calls: bool,
pub timeout_seconds: u64,
pub auto_compact: bool,
pub max_retry_attempts: u32,
pub autonomous_max_retry_attempts: u32,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ComputerControlConfig {
pub enabled: bool,
pub require_confirmation: bool,
pub max_actions_per_second: u32,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct WebDriverConfig {
pub enabled: bool,
pub safari_port: u16,
}
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MacAxConfig {
pub enabled: bool,
}
impl Default for MacAxConfig {
fn default() -> Self {
Self {
enabled: false,
}
}
}
impl Default for WebDriverConfig {
fn default() -> Self {
Self {
enabled: false,
safari_port: 4444,
}
}
}
impl Default for ComputerControlConfig {
fn default() -> Self {
Self {
enabled: false, // Disabled by default for safety
require_confirmation: true,
max_actions_per_second: 5,
}
}
}
impl Default for Config {
fn default() -> Self {
Self {
providers: ProvidersConfig {
openai: None,
openai_compatible: std::collections::HashMap::new(),
anthropic: None,
databricks: Some(DatabricksConfig {
host: "https://your-workspace.cloud.databricks.com".to_string(),
token: None, // Will use OAuth by default
model: "databricks-claude-sonnet-4".to_string(),
max_tokens: Some(4096),
temperature: Some(0.1),
use_oauth: Some(true),
}),
embedded: None,
default_provider: "databricks".to_string(),
coach: None, // Will use default_provider if not specified
player: None, // Will use default_provider if not specified
},
agent: AgentConfig {
max_context_length: None,
fallback_default_max_tokens: 8192,
enable_streaming: true,
allow_multiple_tool_calls: false,
timeout_seconds: 60,
auto_compact: true,
max_retry_attempts: 3,
autonomous_max_retry_attempts: 6,
},
computer_control: ComputerControlConfig::default(),
webdriver: WebDriverConfig::default(),
macax: MacAxConfig::default(),
}
}
}
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 Databricks config
if !config_exists {
let databricks_config = Self::default();
// 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) = databricks_config.save(config_file.to_str().unwrap()) {
eprintln!("Warning: Could not save default config: {}", e);
} else {
println!("Created default Databricks configuration at: {}", config_file.display());
}
return Ok(databricks_config);
}
// Existing config loading logic
let mut settings = config::Config::builder();
// Load default configuration
settings = settings.add_source(config::Config::try_from(&Config::default())?);
// Load from config file if provided
if let Some(path) = config_path {
if Path::new(path).exists() {
settings = settings.add_source(config::File::with_name(path));
}
} else {
// Try to load from default locations
let default_paths = [
"./g3.toml",
"~/.config/g3/config.toml",
"~/.g3.toml",
];
for path in &default_paths {
let expanded_path = shellexpand::tilde(path);
if Path::new(expanded_path.as_ref()).exists() {
settings = settings.add_source(config::File::with_name(expanded_path.as_ref()));
break;
}
}
}
// Override with environment variables
settings = settings.add_source(
config::Environment::with_prefix("G3")
.separator("_")
);
let config = settings.build()?.try_deserialize()?;
Ok(config)
}
#[allow(dead_code)]
fn default_qwen_config() -> Self {
Self {
providers: ProvidersConfig {
openai: None,
openai_compatible: std::collections::HashMap::new(),
anthropic: None,
databricks: 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(),
coach: None, // Will use default_provider if not specified
player: None, // Will use default_provider if not specified
},
agent: AgentConfig {
max_context_length: None,
fallback_default_max_tokens: 8192,
enable_streaming: true,
allow_multiple_tool_calls: false,
timeout_seconds: 60,
auto_compact: true,
max_retry_attempts: 3,
autonomous_max_retry_attempts: 6,
},
computer_control: ComputerControlConfig::default(),
webdriver: WebDriverConfig::default(),
macax: MacAxConfig::default(),
}
}
pub fn save(&self, path: &str) -> Result<()> {
let toml_string = toml::to_string_pretty(self)?;
std::fs::write(path, toml_string)?;
Ok(())
}
pub fn load_with_overrides(
config_path: Option<&str>,
provider_override: Option<String>,
model_override: Option<String>,
) -> Result<Self> {
// Load the base configuration
let mut config = Self::load(config_path)?;
// Apply provider override
if let Some(provider) = provider_override {
config.providers.default_provider = provider;
}
// Apply model override to the active provider
if let Some(model) = model_override {
match config.providers.default_provider.as_str() {
"anthropic" => {
if let Some(ref mut anthropic) = config.providers.anthropic {
anthropic.model = model;
} else {
return Err(anyhow::anyhow!(
"Provider 'anthropic' is not configured. Please add anthropic configuration to your config file."
));
}
}
"databricks" => {
if let Some(ref mut databricks) = config.providers.databricks {
databricks.model = model;
} else {
return Err(anyhow::anyhow!(
"Provider 'databricks' is not configured. Please add databricks configuration to your config file."
));
}
}
"embedded" => {
if let Some(ref mut embedded) = config.providers.embedded {
embedded.model_path = model;
} else {
return Err(anyhow::anyhow!(
"Provider 'embedded' is not configured. Please add embedded configuration to your config file."
));
}
}
"openai" => {
if let Some(ref mut openai) = config.providers.openai {
openai.model = model;
} else {
return Err(anyhow::anyhow!(
"Provider 'openai' is not configured. Please add openai configuration to your config file."
));
}
}
_ => return Err(anyhow::anyhow!("Unknown provider: {}",
config.providers.default_provider)),
}
}
Ok(config)
}
/// Get the provider to use for coach mode in autonomous execution
pub fn get_coach_provider(&self) -> &str {
self.providers.coach
.as_deref()
.unwrap_or(&self.providers.default_provider)
}
/// Get the provider to use for player mode in autonomous execution
pub fn get_player_provider(&self) -> &str {
self.providers.player
.as_deref()
.unwrap_or(&self.providers.default_provider)
}
/// Create a copy of the config with a different default provider
pub fn with_provider_override(&self, provider: &str) -> Result<Self> {
// Validate that the provider is configured
match provider {
"anthropic" if self.providers.anthropic.is_none() => {
return Err(anyhow::anyhow!(
"Provider '{}' is specified but not configured. Please add {} configuration to your config file.",
provider, provider
));
}
"databricks" if self.providers.databricks.is_none() => {
return Err(anyhow::anyhow!(
"Provider '{}' is specified but not configured. Please add {} configuration to your config file.",
provider, provider
));
}
"embedded" if self.providers.embedded.is_none() => {
return Err(anyhow::anyhow!(
"Provider '{}' is specified but not configured. Please add {} configuration to your config file.",
provider, provider
));
}
"openai" if self.providers.openai.is_none() => {
return Err(anyhow::anyhow!(
"Provider '{}' is specified but not configured. Please add {} configuration to your config file.",
provider, provider
));
}
_ => {} // Provider is configured or unknown (will be caught later)
}
let mut config = self.clone();
config.providers.default_provider = provider.to_string();
Ok(config)
}
/// Create a copy of the config for coach mode in autonomous execution
pub fn for_coach(&self) -> Result<Self> {
self.with_provider_override(self.get_coach_provider())
}
/// Create a copy of the config for player mode in autonomous execution
pub fn for_player(&self) -> Result<Self> {
self.with_provider_override(self.get_player_provider())
}
}
#[cfg(test)]
mod tests;