agent mode + fowler bot

This commit is contained in:
Dhanji R. Prasanna
2025-12-19 16:14:03 +11:00
parent b4f6da6bf2
commit e771382bd0
4 changed files with 342 additions and 11 deletions

View File

@@ -382,6 +382,10 @@ pub struct Cli {
/// Enable fast codebase discovery before first LLM turn
#[arg(long, value_name = "PATH")]
pub codebase_fast_start: Option<PathBuf>,
/// Run as a specialized agent (loads prompt from agents/<name>.md)
#[arg(long, value_name = "NAME", conflicts_with_all = ["autonomous", "auto", "chat", "planning"])]
pub agent: Option<String>,
}
pub async fn run() -> Result<()> {
@@ -420,6 +424,28 @@ pub async fn run() -> Result<()> {
.await;
}
// Check if agent mode is enabled
if let Some(agent_name) = &cli.agent {
return run_agent_mode(
agent_name,
cli.workspace.clone(),
cli.config.as_deref(),
cli.quiet,
)
.await;
}
// Check if agent mode is enabled
if let Some(agent_name) = &cli.agent {
return run_agent_mode(
agent_name,
cli.workspace.clone(),
cli.config.as_deref(),
cli.quiet,
)
.await;
}
// Only initialize logging if not in retro mode
if !cli.machine {
// Initialize logging with filtering
@@ -622,6 +648,99 @@ pub async fn run() -> Result<()> {
Ok(())
}
/// Run agent mode - loads a specialized agent prompt and executes a single task
async fn run_agent_mode(
agent_name: &str,
workspace: Option<PathBuf>,
config_path: Option<&str>,
_quiet: bool,
) -> Result<()> {
use g3_core::get_agent_system_prompt;
// Initialize logging
use tracing_subscriber::{layer::SubscriberExt, util::SubscriberInitExt, EnvFilter};
let filter = EnvFilter::from_default_env()
.add_directive("g3_core=info".parse().unwrap())
.add_directive("g3_cli=info".parse().unwrap())
.add_directive("llama_cpp=off".parse().unwrap())
.add_directive("llama=off".parse().unwrap());
tracing_subscriber::registry()
.with(tracing_subscriber::fmt::layer())
.with(filter)
.init();
let output = SimpleOutput::new();
// Determine workspace directory (current dir if not specified)
let workspace_dir = workspace.unwrap_or_else(|| std::env::current_dir().unwrap_or_default());
// Load agent prompt from agents/<name>.md
let agent_prompt_path = workspace_dir.join("agents").join(format!("{}.md", agent_name));
// Also check in the g3 installation directory
let agent_prompt = if agent_prompt_path.exists() {
std::fs::read_to_string(&agent_prompt_path)
.map_err(|e| anyhow::anyhow!("Failed to read agent prompt from {:?}: {}", agent_prompt_path, e))?
} else {
// Try to find agents/ relative to the executable or in common locations
let exe_dir = std::env::current_exe()
.ok()
.and_then(|p| p.parent().map(|p| p.to_path_buf()));
let possible_paths = [
exe_dir.as_ref().map(|d| d.join("agents").join(format!("{}.md", agent_name))),
Some(PathBuf::from(format!("agents/{}.md", agent_name))),
];
let mut found_prompt = None;
for path_opt in possible_paths.iter().flatten() {
if path_opt.exists() {
found_prompt = Some(std::fs::read_to_string(path_opt)
.map_err(|e| anyhow::anyhow!("Failed to read agent prompt from {:?}: {}", path_opt, e))?);
break;
}
}
found_prompt.ok_or_else(|| anyhow::anyhow!(
"Agent prompt not found: agents/{}.md\nSearched in: {:?} and current directory",
agent_name, agent_prompt_path
))?
};
output.print(&format!("🤖 Running as agent: {}", agent_name));
output.print(&format!("📁 Working directory: {:?}", workspace_dir));
// Load config
let config = g3_config::Config::load(config_path)?;
// Generate the combined system prompt (agent prompt + tool instructions)
let system_prompt = get_agent_system_prompt(&agent_prompt, config.agent.allow_multiple_tool_calls);
// Read README if present
let readme_content = std::fs::read_to_string(workspace_dir.join("README.md")).ok();
let readme_for_prompt = readme_content.map(|content| {
format!("📚 Project README (from README.md):\n\n{}", content)
});
// Create agent with custom system prompt
let ui_writer = ConsoleUiWriter::new();
let mut agent = Agent::new_with_custom_prompt(
config,
ui_writer,
system_prompt,
readme_for_prompt,
).await?;
// The agent prompt should contain instructions to start working immediately
// Send an initial message to trigger the agent
let initial_task = "Begin your analysis and work on the current project. Follow your mission and workflow as specified in your instructions.";
let _result = agent.execute_task(initial_task, None, true).await?;
output.print("\n✅ Agent mode completed");
Ok(())
}
/// Run flock mode - parallel multi-agent development
async fn run_flock_mode(
project_dir: PathBuf,

View File

@@ -10,6 +10,9 @@ pub use task_result::TaskResult;
pub use retry::{RetryConfig, RetryResult, execute_with_retry, retry_operation};
pub use feedback_extraction::{ExtractedFeedback, FeedbackSource, FeedbackExtractionConfig, extract_coach_feedback};
// Export agent prompt generation for CLI use
pub use prompts::get_agent_system_prompt;
#[cfg(test)]
mod task_result_comprehensive_tests;
use crate::ui_writer::UiWriter;
@@ -1174,7 +1177,7 @@ impl<W: UiWriter> Agent<W> {
ui_writer: W,
readme_content: Option<String>,
) -> Result<Self> {
Self::new_with_mode_and_readme(config, ui_writer, false, readme_content, false).await
Self::new_with_mode_and_readme(config, ui_writer, false, readme_content, false, None).await
}
pub async fn new_autonomous_with_readme(
@@ -1182,7 +1185,7 @@ impl<W: UiWriter> Agent<W> {
ui_writer: W,
readme_content: Option<String>,
) -> Result<Self> {
Self::new_with_mode_and_readme(config, ui_writer, true, readme_content, false).await
Self::new_with_mode_and_readme(config, ui_writer, true, readme_content, false, None).await
}
pub async fn new_autonomous(config: Config, ui_writer: W) -> Result<Self> {
@@ -1199,7 +1202,7 @@ impl<W: UiWriter> Agent<W> {
readme_content: Option<String>,
quiet: bool,
) -> Result<Self> {
Self::new_with_mode_and_readme(config, ui_writer, false, readme_content, quiet).await
Self::new_with_mode_and_readme(config, ui_writer, false, readme_content, quiet, None).await
}
pub async fn new_autonomous_with_readme_and_quiet(
@@ -1208,7 +1211,18 @@ impl<W: UiWriter> Agent<W> {
readme_content: Option<String>,
quiet: bool,
) -> Result<Self> {
Self::new_with_mode_and_readme(config, ui_writer, true, readme_content, quiet).await
Self::new_with_mode_and_readme(config, ui_writer, true, readme_content, quiet, None).await
}
/// Create a new agent with a custom system prompt (for agent mode)
/// The custom_system_prompt replaces the default G3 system prompt entirely
pub async fn new_with_custom_prompt(
config: Config,
ui_writer: W,
custom_system_prompt: String,
readme_content: Option<String>,
) -> Result<Self> {
Self::new_with_mode_and_readme(config, ui_writer, false, readme_content, false, Some(custom_system_prompt)).await
}
async fn new_with_mode(
@@ -1217,7 +1231,7 @@ impl<W: UiWriter> Agent<W> {
is_autonomous: bool,
quiet: bool,
) -> Result<Self> {
Self::new_with_mode_and_readme(config, ui_writer, is_autonomous, None, quiet).await
Self::new_with_mode_and_readme(config, ui_writer, is_autonomous, None, quiet, None).await
}
async fn new_with_mode_and_readme(
@@ -1226,6 +1240,7 @@ impl<W: UiWriter> Agent<W> {
is_autonomous: bool,
readme_content: Option<String>,
quiet: bool,
custom_system_prompt: Option<String>,
) -> Result<Self> {
let mut providers = ProviderRegistry::new();
@@ -1374,12 +1389,18 @@ impl<W: UiWriter> Agent<W> {
let provider_has_native_tool_calling = provider.has_native_tool_calling();
let _ = provider; // Drop provider reference to avoid borrowing issues
let system_prompt = if provider_has_native_tool_calling {
// For native tool calling providers, use a more explicit system prompt
get_system_prompt_for_native(config.agent.allow_multiple_tool_calls)
let system_prompt = if let Some(custom_prompt) = custom_system_prompt {
// Use custom system prompt (for agent mode)
custom_prompt
} else {
// For non-native providers (embedded models), use JSON format instructions
SYSTEM_PROMPT_FOR_NON_NATIVE_TOOL_USE.to_string()
// Use default system prompt based on provider capabilities
if provider_has_native_tool_calling {
// For native tool calling providers, use a more explicit system prompt
get_system_prompt_for_native(config.agent.allow_multiple_tool_calls)
} else {
// For non-native providers (embedded models), use JSON format instructions
SYSTEM_PROMPT_FOR_NON_NATIVE_TOOL_USE.to_string()
}
};
let system_message = Message::new(MessageRole::System, system_prompt);
@@ -1484,7 +1505,10 @@ impl<W: UiWriter> Agent<W> {
);
}
if !first_message.content.contains("You are G3") {
// Check for system prompt markers that are present in both standard and agent mode
// Agent mode replaces the identity line but keeps all other instructions
let has_tool_instructions = first_message.content.contains("IMPORTANT: You must call tools to achieve goals");
if !has_tool_instructions {
panic!("FATAL: First system message does not contain the system prompt. This likely means the README was added before the system prompt.");
}
}
@@ -3630,6 +3654,7 @@ impl<W: UiWriter> Agent<W> {
const MAX_AUTO_SUMMARY_ATTEMPTS: usize = 2; // Limit auto-summary retries
let mut last_action_was_tool = false; // Track if the last action was a tool call (vs text response)
let mut any_text_response = false; // Track if LLM ever provided a text response
let mut executed_tools_in_session: std::collections::HashSet<String> = std::collections::HashSet::new(); // Track executed tools to prevent duplicates
// Check if we need to summarize before starting
if self.context_window.should_summarize() {
@@ -4028,6 +4053,22 @@ impl<W: UiWriter> Agent<W> {
for (tool_call, duplicate_type) in deduplicated_tools {
debug!("Processing completed tool call: {:?}", tool_call);
// Check if this tool was already executed in this session
let tool_key = format!("{}:{}", tool_call.tool, serde_json::to_string(&tool_call.args).unwrap_or_default());
if executed_tools_in_session.contains(&tool_key) {
// Log the duplicate with red prefix
let prefixed_tool_name = format!("🟥 {} DUP IN SESSION", tool_call.tool);
let warning_msg = format!(
"⚠️ Duplicate tool call detected (already executed in session): Skipping {} with args {}",
tool_call.tool,
serde_json::to_string(&tool_call.args).unwrap_or_else(|_| "<unserializable>".to_string())
);
let mut modified_tool_call = tool_call.clone();
modified_tool_call.tool = prefixed_tool_name;
self.log_tool_call(&modified_tool_call, &warning_msg);
continue; // Skip execution of duplicate
}
// If it's a duplicate, log it and return a warning
if let Some(dup_type) = &duplicate_type {
// Log the duplicate with red prefix
@@ -4364,6 +4405,9 @@ impl<W: UiWriter> Agent<W> {
any_tool_executed = true; // Track across all iterations
last_action_was_tool = true; // Last action was a tool call
// Add to executed tools set to prevent re-execution in this session
executed_tools_in_session.insert(tool_key.clone());
// Reset the JSON tool call filter state after each tool execution
// This ensures the filter doesn't stay in suppression mode for subsequent streaming content
fixed_filter_json::reset_fixed_json_tool_state();

View File

@@ -390,3 +390,23 @@ If you can complete it with 1-2 tool calls, skip TODO.
pub const SYSTEM_PROMPT_FOR_NON_NATIVE_TOOL_USE: &'static str =
concatcp!(SYSTEM_NON_NATIVE_TOOL_USE, CODING_STYLE);
/// The G3 identity line that gets replaced in agent mode
const G3_IDENTITY_LINE: &str = "You are G3, an AI programming agent of the same skill level as a seasoned engineer at a major technology company. You analyze given tasks and write code to achieve goals.";
/// Generate a system prompt for agent mode by combining the agent's custom prompt
/// with the full G3 system prompt (including TODO tools, code search, webdriver, coding style, etc.)
///
/// The agent_prompt replaces only the G3 identity line at the start of the prompt.
/// Everything else (tool instructions, coding guidelines, etc.) is preserved.
pub fn get_agent_system_prompt(agent_prompt: &str, allow_multiple_tool_calls: bool) -> String {
// Get the full system prompt (with or without parallel tool calls)
let full_prompt = if allow_multiple_tool_calls {
get_system_prompt_for_native(true)
} else {
SYSTEM_PROMPT_FOR_NATIVE_TOOL_USE.to_string()
};
// Replace only the G3 identity line with the custom agent prompt
full_prompt.replace(G3_IDENTITY_LINE, agent_prompt.trim())
}