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Author SHA1 Message Date
Jochen
7f73b664a3 system prompt now includes code style guide 2025-11-18 18:21:16 +11:00
Dhanji R. Prasanna
39efa24c55 Merge pull request #21 from dhanji/openai-compatible
allow openai to be used to name named compatible providers
2025-11-11 08:42:28 +11:00
Michael Neale
81cd956c20 allow openai to be used to name named compatible providers 2025-11-10 16:12:33 +11:00
12 changed files with 447 additions and 797 deletions

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@@ -1,171 +0,0 @@
# Changelog: Requirements Persistence Feature
## Summary
Enhanced the accumulative autonomous mode (`--auto` / default mode) to automatically persist requirements to a local `.g3/requirements.md` file.
## Changes Made
### 1. Core Implementation (`crates/g3-cli/src/lib.rs`)
#### New Functions Added:
- **`ensure_g3_dir(workspace_dir: &Path) -> Result<PathBuf>`**
- Creates `.g3` directory in the workspace if it doesn't exist
- Returns the path to the `.g3` directory
- **`load_existing_requirements(workspace_dir: &Path) -> Result<Vec<String>>`**
- Loads requirements from `.g3/requirements.md` if the file exists
- Parses numbered requirements (format: `1. requirement text`)
- Returns empty vector if file doesn't exist
- **`save_requirements(workspace_dir: &Path, requirements: &[String]) -> Result<()>`**
- Saves accumulated requirements to `.g3/requirements.md`
- Creates `.g3` directory if needed
- Formats as markdown with numbered list
#### Modified Functions:
- **`run_accumulative_mode()`**
- Now loads existing requirements on startup
- Displays loaded requirements to user
- Initializes turn number based on existing requirements count
- Saves requirements after each new requirement is added
- Shows save confirmation message
- Updated `/requirements` command to show file location
### 2. Version Control (`.gitignore`)
- Added `.g3/` directory to `.gitignore`
- Prevents accidental commit of local requirements
- Users can opt-in to version control if desired
### 3. Documentation
#### New Documentation:
- **`docs/REQUIREMENTS_PERSISTENCE.md`**
- Comprehensive guide to the requirements persistence feature
- Usage examples and commands
- File format specification
- Use cases and best practices
- Comparison with traditional autonomous mode
#### Updated Documentation:
- **`README.md`**
- Added requirements persistence section to "Getting Started"
- Highlighted key benefits (resume, review, share)
- Added example showing `.g3/requirements.md` usage
### 4. Testing
- **`test_requirements.sh`**
- Simple test script for manual verification
- Creates test directory and provides instructions
## User-Facing Changes
### New Behavior
1. **Automatic Saving**
- Every requirement entered is immediately saved to `.g3/requirements.md`
- User sees confirmation: `💾 Saved to .g3/requirements.md`
2. **Automatic Loading**
- On startup, G3 checks for existing `.g3/requirements.md`
- If found, loads and displays requirements
- Shows: `📂 Loaded N existing requirement(s) from .g3/requirements.md`
3. **Enhanced `/requirements` Command**
- Now shows file location in output
- Format: `📋 Accumulated Requirements (saved to .g3/requirements.md):`
4. **Session Resumability**
- Users can exit and resume work later
- Requirements persist across sessions
- Turn numbering continues from previous session
### File Structure
```
my-project/
├── .g3/
│ └── requirements.md # NEW: Accumulated requirements
├── logs/ # Existing: Session logs
└── ... (project files)
```
### Requirements File Format
```markdown
# Project Requirements
1. First requirement
2. Second requirement
3. Third requirement
```
## Benefits
1. **Persistence**: No data loss if G3 crashes or is interrupted
2. **Transparency**: Always know what G3 is working on
3. **Resumability**: Pick up where you left off
4. **Documentation**: Requirements serve as project documentation
5. **Collaboration**: Share requirements with team members
6. **Auditability**: Track what was requested and when
## Backward Compatibility
- ✅ Fully backward compatible
- ✅ No breaking changes to existing functionality
- ✅ Works seamlessly with existing projects
- ✅ Graceful handling of missing `.g3` directory
- ✅ Error handling for file I/O issues
## Error Handling
- If `.g3/requirements.md` cannot be read: Shows warning, continues with empty requirements
- If `.g3/requirements.md` cannot be written: Shows warning, continues with in-memory requirements
- Non-blocking errors don't interrupt workflow
## Testing Checklist
- [x] Build succeeds without errors
- [ ] Manual test: Create new requirements in fresh directory
- [ ] Manual test: Resume session with existing requirements
- [ ] Manual test: `/requirements` command shows file location
- [ ] Manual test: Requirements file format is correct
- [ ] Manual test: Error handling for permission issues
- [ ] Manual test: `.g3` directory is created automatically
- [ ] Manual test: `.g3` directory is ignored by git
## Future Enhancements
Potential improvements for future versions:
1. Requirement status tracking (pending, in-progress, completed)
2. Requirement dependencies and ordering
3. Requirement templates and snippets
4. Integration with issue trackers
5. Requirement validation and linting
6. Export to other formats (JSON, YAML, etc.)
7. Requirement search and filtering
8. Requirement history and versioning
## Migration Guide
No migration needed! The feature works automatically:
1. Update to the new version
2. Run `g3` in any directory
3. Enter requirements as usual
4. Requirements are automatically saved to `.g3/requirements.md`
## Related Files
- `crates/g3-cli/src/lib.rs` - Core implementation
- `.gitignore` - Version control exclusion
- `docs/REQUIREMENTS_PERSISTENCE.md` - Feature documentation
- `README.md` - Updated getting started guide
- `test_requirements.sh` - Test script

27
Cargo.lock generated
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@@ -576,6 +576,26 @@ dependencies = [
"tiny-keccak",
]
[[package]]
name = "const_format"
version = "0.2.35"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "7faa7469a93a566e9ccc1c73fe783b4a65c274c5ace346038dca9c39fe0030ad"
dependencies = [
"const_format_proc_macros",
]
[[package]]
name = "const_format_proc_macros"
version = "0.2.34"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1d57c2eccfb16dbac1f4e61e206105db5820c9d26c3c472bc17c774259ef7744"
dependencies = [
"proc-macro2",
"quote",
"unicode-xid",
]
[[package]]
name = "convert_case"
version = "0.4.0"
@@ -1427,6 +1447,7 @@ dependencies = [
"anyhow",
"async-trait",
"chrono",
"const_format",
"futures-util",
"g3-computer-control",
"g3-config",
@@ -4090,6 +4111,12 @@ version = "0.2.0"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "1fc81956842c57dac11422a97c3b8195a1ff727f06e85c84ed2e8aa277c9a0fd"
[[package]]
name = "unicode-xid"
version = "0.2.6"
source = "registry+https://github.com/rust-lang/crates.io-index"
checksum = "ebc1c04c71510c7f702b52b7c350734c9ff1295c464a03335b00bb84fc54f853"
[[package]]
name = "unsafe-libyaml"
version = "0.2.11"

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@@ -137,11 +137,6 @@ G3 is designed for:
The default interactive mode now uses **accumulative autonomous mode**, which combines the best of interactive and autonomous workflows:
**Requirements Persistence**: All requirements are automatically saved to `.g3/requirements.md` in your workspace, allowing you to:
- Resume work across sessions
- Review what you've asked G3 to build
- Share requirements with team members
```bash
# Simply run g3 in any directory
g3
@@ -157,9 +152,6 @@ requirement> create a simple web server in Python with Flask
# ... autonomous mode runs and implements it ...
requirement> add a /health endpoint that returns JSON
# ... autonomous mode runs again with both requirements ...
# Requirements are saved to .g3/requirements.md
# Use /requirements command to view them
```
### Other Modes

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@@ -15,6 +15,25 @@ max_tokens = 4096 # Per-request output limit (how many tokens the model can gen
temperature = 0.1
use_oauth = true
# Multiple OpenAI-compatible providers can be configured with custom names
# Each provider gets its own section under [providers.openai_compatible.<name>]
# [providers.openai_compatible.openrouter]
# api_key = "your-openrouter-api-key"
# model = "anthropic/claude-3.5-sonnet"
# base_url = "https://openrouter.ai/api/v1"
# max_tokens = 4096
# temperature = 0.1
# [providers.openai_compatible.groq]
# api_key = "your-groq-api-key"
# model = "llama-3.3-70b-versatile"
# base_url = "https://api.groq.com/openai/v1"
# max_tokens = 4096
# temperature = 0.1
# To use one of these providers, set default_provider to the name you chose:
# default_provider = "openrouter"
[agent]
fallback_default_max_tokens = 8192
# max_context_length: Override the context window size for all providers

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@@ -439,51 +439,6 @@ pub async fn run() -> Result<()> {
Ok(())
}
/// Ensure .g3 directory exists in the workspace
fn ensure_g3_dir(workspace_dir: &Path) -> Result<PathBuf> {
let g3_dir = workspace_dir.join(".g3");
if !g3_dir.exists() {
std::fs::create_dir_all(&g3_dir)?;
}
Ok(g3_dir)
}
/// Load existing requirements from .g3/requirements.md if it exists
fn load_existing_requirements(workspace_dir: &Path) -> Result<Vec<String>> {
let g3_dir = workspace_dir.join(".g3");
let requirements_file = g3_dir.join("requirements.md");
if !requirements_file.exists() {
return Ok(Vec::new());
}
let content = std::fs::read_to_string(&requirements_file)?;
// Parse the requirements from the markdown file
let mut requirements = Vec::new();
for line in content.lines() {
// Look for numbered requirements (e.g., "1. requirement text")
if let Some(stripped) = line.strip_prefix(|c: char| c.is_ascii_digit()) {
if let Some(req) = stripped.strip_prefix(". ") {
// Reconstruct the numbered format
let num = line.chars().take_while(|c| c.is_ascii_digit()).collect::<String>();
requirements.push(format!("{}. {}", num, req));
}
}
}
Ok(requirements)
}
/// Save accumulated requirements to .g3/requirements.md
fn save_requirements(workspace_dir: &Path, requirements: &[String]) -> Result<()> {
let g3_dir = ensure_g3_dir(workspace_dir)?;
let requirements_file = g3_dir.join("requirements.md");
let content = format!("# Project Requirements\n\n{}\n", requirements.join("\n"));
std::fs::write(&requirements_file, content)?;
Ok(())
}
/// Accumulative autonomous mode: accumulates requirements from user input
/// and runs autonomous mode after each input
async fn run_accumulative_mode(
@@ -519,25 +474,9 @@ async fn run_accumulative_mode(
let _ = rl.load_history(history_path);
}
// Load existing requirements from .g3/requirements.md if it exists
let mut accumulated_requirements = match load_existing_requirements(&workspace_dir) {
Ok(reqs) if !reqs.is_empty() => {
output.print("");
output.print(&format!("📂 Loaded {} existing requirement(s) from .g3/requirements.md", reqs.len()));
output.print("");
for req in &reqs {
output.print(&format!(" {}", req));
}
output.print("");
reqs
}
Ok(_) => Vec::new(),
Err(e) => {
output.print(&format!("⚠️ Warning: Could not load existing requirements: {}", e));
Vec::new()
}
};
let mut turn_number = accumulated_requirements.len();
// Accumulated requirements stored in memory
let mut accumulated_requirements = Vec::new();
let mut turn_number = 0;
loop {
output.print(&format!("\n{}", "=".repeat(60)));
@@ -580,8 +519,7 @@ async fn run_accumulative_mode(
if accumulated_requirements.is_empty() {
output.print("📋 No requirements accumulated yet");
} else {
let req_file = workspace_dir.join(".g3/requirements.md");
output.print(&format!("📋 Accumulated Requirements (saved to {}):", req_file.display()));
output.print("📋 Accumulated Requirements:");
output.print("");
for req in &accumulated_requirements {
output.print(&format!(" {}", req));
@@ -667,13 +605,6 @@ async fn run_accumulative_mode(
turn_number += 1;
accumulated_requirements.push(format!("{}. {}", turn_number, input));
// Save requirements to .g3/requirements.md
if let Err(e) = save_requirements(&workspace_dir, &accumulated_requirements) {
output.print(&format!("⚠️ Warning: Could not save requirements to .g3/requirements.md: {}", e));
} else {
output.print(&format!("💾 Saved to .g3/requirements.md"));
}
// Build the complete requirements document
let requirements_doc = format!(
"# Project Requirements\n\n\

View File

@@ -14,6 +14,9 @@ pub struct Config {
#[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>,
@@ -121,6 +124,7 @@ impl Default for Config {
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(),
@@ -239,6 +243,7 @@ impl Config {
Self {
providers: ProvidersConfig {
openai: None,
openai_compatible: std::collections::HashMap::new(),
anthropic: None,
databricks: None,
embedded: Some(EmbeddedConfig {

View File

@@ -43,6 +43,8 @@ tree-sitter-scheme = "0.24"
streaming-iterator = "0.1"
walkdir = "2.4"
const_format = "0.2"
[dev-dependencies]
tempfile = "3.8"
serial_test = "3.0"

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@@ -19,6 +19,8 @@ mod tilde_expansion_tests;
#[cfg(test)]
mod error_handling_test;
mod prompts;
use anyhow::Result;
use g3_computer_control::WebDriverController;
use g3_config::Config;
@@ -31,6 +33,7 @@ use serde_json::json;
use std::time::{Duration, Instant};
use tokio_util::sync::CancellationToken;
use tracing::{debug, error, info, warn};
use prompts::{SYSTEM_PROMPT_FOR_NON_NATIVE_TOOL_USE, SYSTEM_PROMPT_FOR_NATIVE_TOOL_USE};
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ToolCall {
@@ -875,6 +878,21 @@ impl<W: UiWriter> Agent<W> {
}
}
// Register OpenAI-compatible providers (e.g., OpenRouter, Groq, etc.)
for (name, openai_config) in &config.providers.openai_compatible {
if providers_to_register.contains(name) {
let openai_provider = g3_providers::OpenAIProvider::new_with_name(
name.clone(),
openai_config.api_key.clone(),
Some(openai_config.model.clone()),
openai_config.base_url.clone(),
openai_config.max_tokens,
openai_config.temperature,
)?;
providers.register(openai_provider);
}
}
// Register Anthropic provider if configured AND it's the default provider
if let Some(anthropic_config) = &config.providers.anthropic {
if providers_to_register.contains(&"anthropic".to_string()) {
@@ -1172,305 +1190,10 @@ impl<W: UiWriter> Agent<W> {
let provider = self.providers.get(None)?;
let system_prompt = if provider.has_native_tool_calling() {
// For native tool calling providers, use a more explicit system prompt
"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.
You have access to tools. When you need to accomplish a task, you MUST use the appropriate tool. Do not just describe what you would do - actually use the tools.
IMPORTANT: You must call tools to achieve goals. When you receive a request:
1. Analyze and identify what needs to be done
2. Call the appropriate tool with the required parameters
3. Continue or complete the task based on the result
4. If you repeatedly try something and it fails, try a different approach
5. Call the final_output tool with a detailed summary when done.
For shell commands: Use the shell tool with the exact command needed. Avoid commands that produce a large amount of output, and consider piping those outputs to files. Example: If asked to list files, immediately call the shell tool with command parameter \"ls\".
If you create temporary files for verification, place these in a subdir named 'tmp'. Do NOT pollute the current dir.
# Task Management with TODO Tools
**REQUIRED for multi-step tasks.** Use TODO tools when your task involves ANY of:
- Multiple files to create/modify (2+)
- Multiple distinct steps (3+)
- Dependencies between steps
- Testing or verification needed
- Uncertainty about approach
## Workflow
Every multi-step task follows this pattern:
1. **Start**: Call todo_read, then todo_write to create your plan
2. **During**: Execute steps, then todo_read and todo_write to mark progress
3. **End**: Call todo_read to verify all items complete
Note: todo_write replaces the entire todo.g3.md file, so always read first to preserve content. TODO lists persist across g3 sessions in the workspace directory.
## Examples
**Example 1: Feature Implementation**
User asks: \"Add user authentication with tests\"
First action:
{\"tool\": \"todo_read\", \"args\": {}}
Then create plan:
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [ ] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
After completing User struct:
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [x] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
**Example 2: Bug Fix**
User asks: \"Fix the memory leak in cache module\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Fix memory leak\\n - [ ] Review cache.rs\\n - [ ] Check for unclosed resources\\n - [ ] Add drop implementation\\n - [ ] Write test to verify fix\"}}
**Example 3: Refactoring**
User asks: \"Refactor database layer to use async/await\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Refactor to async\\n - [ ] Update function signatures\\n - [ ] Replace blocking calls\\n - [ ] Update all callers\\n - [ ] Update tests\"}}
## Format
Use markdown checkboxes:
- \"- [ ]\" for incomplete tasks
- \"- [x]\" for completed tasks
- Indent with 2 spaces for subtasks
Keep items short, specific, and action-oriented.
## Benefits
✓ Prevents missed steps
✓ Makes progress visible
✓ Helps recover from interruptions
✓ Creates better summaries
## When NOT to Use
Skip TODO tools for simple single-step tasks:
- \"List files\" → just use shell
- \"Read config.json\" → just use read_file
- \"Search for functions\" → just use code_search
If you can complete it with 1-2 tool calls, skip TODO.
# Code Search Guidelines
IMPORTANT: When searching for code constructs (functions, classes, methods, structs, etc.), ALWAYS use `code_search` instead of shell grep/rg.
If you create temporary files for verification, place these in a subdir named 'tmp'. Do NOT pollute the current dir.
# Code Search Guidelines
IMPORTANT: When searching for code constructs (functions, classes, methods, structs, etc.), ALWAYS use `code_search` instead of shell grep/rg.
It's syntax-aware and finds actual code, not comments or strings. Only use shell grep for:
- Searching non-code files (logs, markdown, text)
- Simple string searches across all file types
- When you need regex for text content (not code structure)
Common code_search query patterns:
**Rust:**
- All functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\"}]}}
- Async functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"async_fns\", \"query\": \"(function_item (function_modifiers) name: (identifier) @name)\", \"language\": \"rust\"}]}}
- Structs: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- Enums: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"enums\", \"query\": \"(enum_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- Impl blocks: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"impls\", \"query\": \"(impl_item type: (type_identifier) @name)\", \"language\": \"rust\"}]}}
**Python:**
- Functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_definition name: (identifier) @name)\", \"language\": \"python\"}]}}
- Classes: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"classes\", \"query\": \"(class_definition name: (identifier) @name)\", \"language\": \"python\"}]}}
**JavaScript/TypeScript:**
- Functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_declaration name: (identifier) @name)\", \"language\": \"javascript\"}]}}
- Classes: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"classes\", \"query\": \"(class_declaration name: (identifier) @name)\", \"language\": \"javascript\"}]}}
- Arrow functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"arrow_fns\", \"query\": \"(arrow_function) @fn\", \"language\": \"javascript\"}]}}
**Go:**
- Functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_declaration name: (identifier) @name)\", \"language\": \"go\"}]}}
- Methods: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"methods\", \"query\": \"(method_declaration name: (field_identifier) @name)\", \"language\": \"go\"}]}}
**Java/C++:**
- Classes: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"classes\", \"query\": \"(class_declaration name: (identifier) @name)\", \"language\": \"java\"}]}}
- Methods: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"methods\", \"query\": \"(method_declaration name: (identifier) @name)\", \"language\": \"java\"}]}}
**Advanced features:**
- Multiple searches: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\"}, {\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- With context: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"context_lines\": 3}]}}
- Specific paths: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"paths\": [\"src/core\"]}]}}
IMPORTANT: If the user asks you to just respond with text (like \"just say hello\" or \"tell me about X\"), do NOT use tools. Simply respond with the requested text directly. Only use tools when you need to execute commands or complete tasks that require action.
When taking screenshots of specific windows (like \"my Safari window\" or \"my terminal\"), ALWAYS use list_windows first to identify the correct window ID, then use take_screenshot with the window_id parameter.
Do not explain what you're going to do - just do it by calling the tools.
# Response Guidelines
- Use Markdown formatting for all responses except tool calls.
- Whenever taking actions, use the pronoun 'I'
".to_string()
SYSTEM_PROMPT_FOR_NATIVE_TOOL_USE.to_string()
} else {
// For non-native providers (embedded models), use JSON format instructions
"You are G3, a general-purpose AI agent. Your goal is to analyze and solve problems by writing code.
You have access to tools. When you need to accomplish a task, you MUST use the appropriate tool. Do not just describe what you would do - actually use the tools.
# Tool Call Format
When you need to execute a tool, write ONLY the JSON tool call on a new line:
{\"tool\": \"tool_name\", \"args\": {\"param\": \"value\"}
The tool will execute immediately and you'll receive the result (success or error) to continue with.
# Available Tools
Short description for providers without native calling specs:
- **shell**: Execute shell commands
- Format: {\"tool\": \"shell\", \"args\": {\"command\": \"your_command_here\"}
- Example: {\"tool\": \"shell\", \"args\": {\"command\": \"ls ~/Downloads\"}
- **read_file**: Read the contents of a file (supports partial reads via start/end)
- Format: {\"tool\": \"read_file\", \"args\": {\"file_path\": \"path/to/file\", \"start\": 0, \"end\": 100}
- Example: {\"tool\": \"read_file\", \"args\": {\"file_path\": \"src/main.rs\"}
- Example (partial): {\"tool\": \"read_file\", \"args\": {\"file_path\": \"large.log\", \"start\": 0, \"end\": 1000}
- **write_file**: Write content to a file (creates or overwrites)
- Format: {\"tool\": \"write_file\", \"args\": {\"file_path\": \"path/to/file\", \"content\": \"file content\"}
- Example: {\"tool\": \"write_file\", \"args\": {\"file_path\": \"src/lib.rs\", \"content\": \"pub fn hello() {}\"}
- **str_replace**: Replace text in a file using a diff
- Format: {\"tool\": \"str_replace\", \"args\": {\"file_path\": \"path/to/file\", \"diff\": \"--- old\\n-old text\\n+++ new\\n+new text\"}
- Example: {\"tool\": \"str_replace\", \"args\": {\"file_path\": \"src/main.rs\", \"diff\": \"--- old\\n-old_code();\\n+++ new\\n+new_code();\"}
- **final_output**: Signal task completion with a detailed summary of work done in markdown format
- Format: {\"tool\": \"final_output\", \"args\": {\"summary\": \"what_was_accomplished\"}
- **todo_read**: Read the entire TODO list from todo.g3.md file in workspace directory
- Format: {\"tool\": \"todo_read\", \"args\": {}}
- Example: {\"tool\": \"todo_read\", \"args\": {}}
- **todo_write**: Write or overwrite the entire todo.g3.md file (WARNING: overwrites completely, always read first)
- Format: {\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Task 1\\n- [ ] Task 2\"}}
- Example: {\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Implement feature\\n - [ ] Write tests\\n - [ ] Run tests\"}}
- **code_search**: Syntax-aware code search using tree-sitter. Supports Rust, Python, JavaScript, TypeScript.
- Format: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"label\", \"query\": \"tree-sitter query\", \"language\": \"rust|python|javascript|typescript\", \"paths\": [\"src/\"], \"context_lines\": 0}]}}
- Find functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"find_functions\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"paths\": [\"src/\"]}]}}
- Find async functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"find_async\", \"query\": \"(function_item (function_modifiers) name: (identifier) @name)\", \"language\": \"rust\"}]}}
- Find structs: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- Multiple searches: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\"}, {\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- With context lines: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"context_lines\": 3}]}}
- \"context\": 3 (show surrounding lines),
- \"json_style\": \"stream\" (for large results)
# Instructions
1. Analyze the request and break down into smaller tasks if appropriate
2. Execute ONE tool at a time. An exception exists for when you're writing files. See below.
3. STOP when the original request was satisfied
4. Call the final_output tool when done
For reading files, prioritize use of code_search tool use with multiple search requests per call instead of read_file, if it makes sense.
Exception to using ONE tool at a time:
If all youre doing is WRITING files, and you dont need to do anything else between each step.
You can issue MULTIPLE write_file tool calls in a request, however you may ONLY make a SINGLE write_file call for any file in that request.
For example you may call:
[START OF REQUEST]
write_file(\"helper.rs\", \"...\")
write_file(\"file2.txt\", \"...\")
[DONE]
But NOT:
[START OF REQUEST]
write_file(\"helper.rs\", \"...\")
write_file(\"file2.txt\", \"...\")
write_file(\"helper.rs\", \"...\")
[DONE]
# Task Management with TODO Tools
**REQUIRED for multi-step tasks.** Use TODO tools when your task involves ANY of:
- Multiple files to create/modify (2+)
- Multiple distinct steps (3+)
- Dependencies between steps
- Testing or verification needed
- Uncertainty about approach
## Workflow
Every multi-step task follows this pattern:
1. **Start**: Call todo_read, then todo_write to create your plan
2. **During**: Execute steps, then todo_read and todo_write to mark progress
3. **End**: Call todo_read to verify all items complete
Note: todo_write replaces the entire list, so always read first to preserve content.
## Examples
**Example 1: Feature Implementation**
User asks: \"Add user authentication with tests\"
First action:
{\"tool\": \"todo_read\", \"args\": {}}
Then create plan:
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [ ] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
After completing User struct:
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [x] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
**Example 2: Bug Fix**
User asks: \"Fix the memory leak in cache module\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Fix memory leak\\n - [ ] Review cache.rs\\n - [ ] Check for unclosed resources\\n - [ ] Add drop implementation\\n - [ ] Write test to verify fix\"}}
**Example 3: Refactoring**
User asks: \"Refactor database layer to use async/await\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Refactor to async\\n - [ ] Update function signatures\\n - [ ] Replace blocking calls\\n - [ ] Update all callers\\n - [ ] Update tests\"}}
## Format
Use markdown checkboxes:
- \"- [ ]\" for incomplete tasks
- \"- [x]\" for completed tasks
- Indent with 2 spaces for subtasks
Keep items short, specific, and action-oriented.
## Benefits
✓ Prevents missed steps
✓ Makes progress visible
✓ Helps recover from interruptions
✓ Creates better summaries
## When NOT to Use
Skip TODO tools for simple single-step tasks:
- \"List files\" → just use shell
- \"Read config.json\" → just use read_file
- \"Search for functions\" → just use code_search
If you can complete it with 1-2 tool calls, skip TODO.
# Response Guidelines
- Use Markdown formatting for all responses except tool calls.
- Whenever taking actions, use the pronoun 'I'
".to_string()
SYSTEM_PROMPT_FOR_NON_NATIVE_TOOL_USE.to_string()
};
if show_prompt {

View File

@@ -0,0 +1,348 @@
use const_format::concatcp;
const CODING_STYLE: &'static str = "# IMPORTANT FOR CODING:
It is very important that you adhere to these principles when writing code. I will use a code quality tool to assess the code you have generated.
### Most important for coding: Specific guideline for code design:
- Functions and methods should be short - at most 80 lines, ideally under 40.
- Classes should be modular and composable. They should not have more than 20 methods.
- Do not write deeply nested (above 6 levels deep) if, match or case statements, rather refactor into separate logical sections or functions.
- Code should be written such that it is maintainable and testable.
- For Rust code write *ALL* test code into a tests directory that is a peer to the src of each crate, and is for testing code in that crate.
- For Python code write *ALL* test code into a top level tests directory.
- Each non-trivial function should have test coverage. DO NOT WRITE TESTS FOR INDIVIDUAL FUNCTIONS / METHODS / CLASSES unless they are large and important. Instead write something
at a higher level of abstraction, closer to an integration test.
- Write tests in separate files, where the filename should match the main implementation and adding a “_test” suffix.
### Important for coding: General guidelines for code design:
Keep the code as simple as possible, with few if any external dependencies.
DRY (Dont repeat yourself) - each small piece code may only occur exactly once in the entire system.
KISS (Keep it simple, stupid!) - keep each small piece of software simple and unnecessary complexity should be avoided.
YAGNI (You aint gonna need it) - Always implement things when you actually need them never implements things before you need them.
Use Descriptive Names for Code Elements. - As a rule of thumb, use more descriptive names for larger scopes. e.g., name a loop counter variable “i” is good when the scope of the loop is a single line. But dont name some class field or method parameter “i”.
When modifying an existing code base, do not unnecessarily refactor or modify code that is not directly relevant to the current coding task. It is fine to do so if new code calls/is called by the new functionality, or you prevent code duplication when new functionality is added.
If possible constrain the side-effects on other pieces of code if possible, this is part of the principle of modularity.
### Important for coding: General advice on designing algorithms:
If possible, consider the \"Gang of Four\" design patterns when writing code.
The Gang of Four (GOF) patterns are set of 23 common software design patterns introduced in the book
\"Design Patterns: Elements of Reusable Object-Oriented Software\".
These patterns categorize into three main groups:
1. Creational Patterns
2. Structural Patterns
3. Behavioral Patterns
These patterns provide solutions to common design problems and help make software systems more modular, flexible and maintainable. Consider using these patterns in your code design.";
const SYSTEM_NATIVE_TOOL_CALLS: &'static 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.
You have access to tools. When you need to accomplish a task, you MUST use the appropriate tool. Do not just describe what you would do - actually use the tools.
IMPORTANT: You must call tools to achieve goals. When you receive a request:
1. Analyze and identify what needs to be done
2. Call the appropriate tool with the required parameters
3. Continue or complete the task based on the result
4. If you repeatedly try something and it fails, try a different approach
5. Call the final_output tool with a detailed summary when done.
For shell commands: Use the shell tool with the exact command needed. Avoid commands that produce a large amount of output, and consider piping those outputs to files. Example: If asked to list files, immediately call the shell tool with command parameter \"ls\".
If you create temporary files for verification, place these in a subdir named 'tmp'. Do NOT pollute the current dir.
# Task Management with TODO Tools
**REQUIRED for multi-step tasks.** Use TODO tools when your task involves ANY of:
- Multiple files to create/modify (2+)
- Multiple distinct steps (3+)
- Dependencies between steps
- Testing or verification needed
- Uncertainty about approach
## Workflow
Every multi-step task follows this pattern:
1. **Start**: Call todo_read, then todo_write to create your plan
2. **During**: Execute steps, then todo_read and todo_write to mark progress
3. **End**: Call todo_read to verify all items complete
Note: todo_write replaces the entire todo.g3.md file, so always read first to preserve content. TODO lists persist across g3 sessions in the workspace directory.
## Examples
**Example 1: Feature Implementation**
User asks: \"Add user authentication with tests\"
First action:
{\"tool\": \"todo_read\", \"args\": {}}
Then create plan:
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [ ] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
After completing User struct:
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [x] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
**Example 2: Bug Fix**
User asks: \"Fix the memory leak in cache module\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Fix memory leak\\n - [ ] Review cache.rs\\n - [ ] Check for unclosed resources\\n - [ ] Add drop implementation\\n - [ ] Write test to verify fix\"}}
**Example 3: Refactoring**
User asks: \"Refactor database layer to use async/await\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Refactor to async\\n - [ ] Update function signatures\\n - [ ] Replace blocking calls\\n - [ ] Update all callers\\n - [ ] Update tests\"}}
## Format
Use markdown checkboxes:
- \"- [ ]\" for incomplete tasks
- \"- [x]\" for completed tasks
- Indent with 2 spaces for subtasks
Keep items short, specific, and action-oriented.
## Benefits
✓ Prevents missed steps
✓ Makes progress visible
✓ Helps recover from interruptions
✓ Creates better summaries
## When NOT to Use
Skip TODO tools for simple single-step tasks:
- \"List files\" → just use shell
- \"Read config.json\" → just use read_file
- \"Search for functions\" → just use code_search
If you can complete it with 1-2 tool calls, skip TODO.
# Code Search Guidelines
IMPORTANT: When searching for code constructs (functions, classes, methods, structs, etc.), ALWAYS use `code_search` instead of shell grep/rg.
If you create temporary files for verification, place these in a subdir named 'tmp'. Do NOT pollute the current dir.
# Code Search Guidelines
IMPORTANT: When searching for code constructs (functions, classes, methods, structs, etc.), ALWAYS use `code_search` instead of shell grep/rg.
It's syntax-aware and finds actual code, not comments or strings. Only use shell grep for:
- Searching non-code files (logs, markdown, text)
- Simple string searches across all file types
- When you need regex for text content (not code structure)
Common code_search query patterns:
**Rust:**
- All functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\"}]}}
- Async functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"async_fns\", \"query\": \"(function_item (function_modifiers) name: (identifier) @name)\", \"language\": \"rust\"}]}}
- Structs: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- Enums: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"enums\", \"query\": \"(enum_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- Impl blocks: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"impls\", \"query\": \"(impl_item type: (type_identifier) @name)\", \"language\": \"rust\"}]}}
**Python:**
- Functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_definition name: (identifier) @name)\", \"language\": \"python\"}]}}
- Classes: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"classes\", \"query\": \"(class_definition name: (identifier) @name)\", \"language\": \"python\"}]}}
**JavaScript/TypeScript:**
- Functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_declaration name: (identifier) @name)\", \"language\": \"javascript\"}]}}
- Classes: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"classes\", \"query\": \"(class_declaration name: (identifier) @name)\", \"language\": \"javascript\"}]}}
- Arrow functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"arrow_fns\", \"query\": \"(arrow_function) @fn\", \"language\": \"javascript\"}]}}
**Go:**
- Functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"functions\", \"query\": \"(function_declaration name: (identifier) @name)\", \"language\": \"go\"}]}}
- Methods: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"methods\", \"query\": \"(method_declaration name: (field_identifier) @name)\", \"language\": \"go\"}]}}
**Java/C++:**
- Classes: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"classes\", \"query\": \"(class_declaration name: (identifier) @name)\", \"language\": \"java\"}]}}
- Methods: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"methods\", \"query\": \"(method_declaration name: (identifier) @name)\", \"language\": \"java\"}]}}
**Advanced features:**
- Multiple searches: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\"}, {\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- With context: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"context_lines\": 3}]}}
- Specific paths: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"paths\": [\"src/core\"]}]}}
IMPORTANT: If the user asks you to just respond with text (like \"just say hello\" or \"tell me about X\"), do NOT use tools. Simply respond with the requested text directly. Only use tools when you need to execute commands or complete tasks that require action.
When taking screenshots of specific windows (like \"my Safari window\" or \"my terminal\"), ALWAYS use list_windows first to identify the correct window ID, then use take_screenshot with the window_id parameter.
Do not explain what you're going to do - just do it by calling the tools.
# Response Guidelines
- Use Markdown formatting for all responses except tool calls.
- Whenever taking actions, use the pronoun 'I'
";
pub const SYSTEM_PROMPT_FOR_NATIVE_TOOL_USE: &'static str =
concatcp!(CODING_STYLE, SYSTEM_NATIVE_TOOL_CALLS);
const SYSTEM_NON_NATIVE_TOOL_USE: &'static str =
"You are G3, a general-purpose AI agent. Your goal is to analyze and solve problems by writing code.
You have access to tools. When you need to accomplish a task, you MUST use the appropriate tool. Do not just describe what you would do - actually use the tools.
# Tool Call Format
When you need to execute a tool, write ONLY the JSON tool call on a new line:
{\"tool\": \"tool_name\", \"args\": {\"param\": \"value\"}
The tool will execute immediately and you'll receive the result (success or error) to continue with.
# Available Tools
Short description for providers without native calling specs:
- **shell**: Execute shell commands
- Format: {\"tool\": \"shell\", \"args\": {\"command\": \"your_command_here\"}
- Example: {\"tool\": \"shell\", \"args\": {\"command\": \"ls ~/Downloads\"}
- **read_file**: Read the contents of a file (supports partial reads via start/end)
- Format: {\"tool\": \"read_file\", \"args\": {\"file_path\": \"path/to/file\", \"start\": 0, \"end\": 100}
- Example: {\"tool\": \"read_file\", \"args\": {\"file_path\": \"src/main.rs\"}
- Example (partial): {\"tool\": \"read_file\", \"args\": {\"file_path\": \"large.log\", \"start\": 0, \"end\": 1000}
- **write_file**: Write content to a file (creates or overwrites)
- Format: {\"tool\": \"write_file\", \"args\": {\"file_path\": \"path/to/file\", \"content\": \"file content\"}
- Example: {\"tool\": \"write_file\", \"args\": {\"file_path\": \"src/lib.rs\", \"content\": \"pub fn hello() {}\"}
- **str_replace**: Replace text in a file using a diff
- Format: {\"tool\": \"str_replace\", \"args\": {\"file_path\": \"path/to/file\", \"diff\": \"--- old\\n-old text\\n+++ new\\n+new text\"}
- Example: {\"tool\": \"str_replace\", \"args\": {\"file_path\": \"src/main.rs\", \"diff\": \"--- old\\n-old_code();\\n+++ new\\n+new_code();\"}
- **final_output**: Signal task completion with a detailed summary of work done in markdown format
- Format: {\"tool\": \"final_output\", \"args\": {\"summary\": \"what_was_accomplished\"}
- **todo_read**: Read the entire TODO list from todo.g3.md file in workspace directory
- Format: {\"tool\": \"todo_read\", \"args\": {}}
- Example: {\"tool\": \"todo_read\", \"args\": {}}
- **todo_write**: Write or overwrite the entire todo.g3.md file (WARNING: overwrites completely, always read first)
- Format: {\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Task 1\\n- [ ] Task 2\"}}
- Example: {\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Implement feature\\n - [ ] Write tests\\n - [ ] Run tests\"}}
- **code_search**: Syntax-aware code search using tree-sitter. Supports Rust, Python, JavaScript, TypeScript.
- Format: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"label\", \"query\": \"tree-sitter query\", \"language\": \"rust|python|javascript|typescript\", \"paths\": [\"src/\"], \"context_lines\": 0}]}}
- Find functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"find_functions\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"paths\": [\"src/\"]}]}}
- Find async functions: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"find_async\", \"query\": \"(function_item (function_modifiers) name: (identifier) @name)\", \"language\": \"rust\"}]}}
- Find structs: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- Multiple searches: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\"}, {\"name\": \"structs\", \"query\": \"(struct_item name: (type_identifier) @name)\", \"language\": \"rust\"}]}}
- With context lines: {\"tool\": \"code_search\", \"args\": {\"searches\": [{\"name\": \"funcs\", \"query\": \"(function_item name: (identifier) @name)\", \"language\": \"rust\", \"context_lines\": 3}]}}
- \"context\": 3 (show surrounding lines),
- \"json_style\": \"stream\" (for large results)
# Instructions
1. Analyze the request and break down into smaller tasks if appropriate
2. Execute ONE tool at a time. An exception exists for when you're writing files. See below.
3. STOP when the original request was satisfied
4. Call the final_output tool when done
For reading files, prioritize use of code_search tool use with multiple search requests per call instead of read_file, if it makes sense.
Exception to using ONE tool at a time:
If all youre doing is WRITING files, and you dont need to do anything else between each step.
You can issue MULTIPLE write_file tool calls in a request, however you may ONLY make a SINGLE write_file call for any file in that request.
For example you may call:
[START OF REQUEST]
write_file(\"helper.rs\", \"...\")
write_file(\"file2.txt\", \"...\")
[DONE]
But NOT:
[START OF REQUEST]
write_file(\"helper.rs\", \"...\")
write_file(\"file2.txt\", \"...\")
write_file(\"helper.rs\", \"...\")
[DONE]
# Task Management with TODO Tools
**REQUIRED for multi-step tasks.** Use TODO tools when your task involves ANY of:
- Multiple files to create/modify (2+)
- Multiple distinct steps (3+)
- Dependencies between steps
- Testing or verification needed
- Uncertainty about approach
## Workflow
Every multi-step task follows this pattern:
1. **Start**: Call todo_read, then todo_write to create your plan
2. **During**: Execute steps, then todo_read and todo_write to mark progress
3. **End**: Call todo_read to verify all items complete
Note: todo_write replaces the entire list, so always read first to preserve content.
## Examples
**Example 1: Feature Implementation**
User asks: \"Add user authentication with tests\"
First action:
{\"tool\": \"todo_read\", \"args\": {}}
Then create plan:
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [ ] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
After completing User struct:
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Add user authentication\\n - [x] Create User struct\\n - [ ] Add login endpoint\\n - [ ] Add password hashing\\n - [ ] Write unit tests\\n - [ ] Write integration tests\"}}
**Example 2: Bug Fix**
User asks: \"Fix the memory leak in cache module\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Fix memory leak\\n - [ ] Review cache.rs\\n - [ ] Check for unclosed resources\\n - [ ] Add drop implementation\\n - [ ] Write test to verify fix\"}}
**Example 3: Refactoring**
User asks: \"Refactor database layer to use async/await\"
{\"tool\": \"todo_read\", \"args\": {}}
{\"tool\": \"todo_write\", \"args\": {\"content\": \"- [ ] Refactor to async\\n - [ ] Update function signatures\\n - [ ] Replace blocking calls\\n - [ ] Update all callers\\n - [ ] Update tests\"}}
## Format
Use markdown checkboxes:
- \"- [ ]\" for incomplete tasks
- \"- [x]\" for completed tasks
- Indent with 2 spaces for subtasks
Keep items short, specific, and action-oriented.
## Benefits
✓ Prevents missed steps
✓ Makes progress visible
✓ Helps recover from interruptions
✓ Creates better summaries
## When NOT to Use
Skip TODO tools for simple single-step tasks:
- \"List files\" → just use shell
- \"Read config.json\" → just use read_file
- \"Search for functions\" → just use code_search
If you can complete it with 1-2 tool calls, skip TODO.
# Response Guidelines
- Use Markdown formatting for all responses except tool calls.
- Whenever taking actions, use the pronoun 'I'
";
pub const SYSTEM_PROMPT_FOR_NON_NATIVE_TOOL_USE: &'static str =
concatcp!(CODING_STYLE, SYSTEM_NON_NATIVE_TOOL_USE);

View File

@@ -22,6 +22,7 @@ pub struct OpenAIProvider {
base_url: String,
max_tokens: Option<u32>,
_temperature: Option<f32>,
name: String,
}
impl OpenAIProvider {
@@ -31,6 +32,24 @@ impl OpenAIProvider {
base_url: Option<String>,
max_tokens: Option<u32>,
temperature: Option<f32>,
) -> Result<Self> {
Self::new_with_name(
"openai".to_string(),
api_key,
model,
base_url,
max_tokens,
temperature,
)
}
pub fn new_with_name(
name: String,
api_key: String,
model: Option<String>,
base_url: Option<String>,
max_tokens: Option<u32>,
temperature: Option<f32>,
) -> Result<Self> {
Ok(Self {
client: Client::new(),
@@ -39,6 +58,7 @@ impl OpenAIProvider {
base_url: base_url.unwrap_or_else(|| "https://api.openai.com/v1".to_string()),
max_tokens,
_temperature: temperature,
name,
})
}
@@ -353,7 +373,7 @@ impl LLMProvider for OpenAIProvider {
}
fn name(&self) -> &str {
"openai"
&self.name
}
fn model(&self) -> &str {
@@ -492,4 +512,4 @@ struct OpenAIDeltaToolCall {
struct OpenAIDeltaFunction {
name: Option<String>,
arguments: Option<String>,
}
}

View File

@@ -1,210 +0,0 @@
# Requirements Persistence in Accumulative Mode
## Overview
In accumulative autonomous mode (`--auto` or default mode), G3 now automatically persists your requirements to a local `.g3/requirements.md` file. This provides several benefits:
1. **Persistence across sessions**: Your requirements are saved and can be resumed later
2. **Version control friendly**: Requirements are stored in a readable markdown format
3. **Easy review**: You can view and edit requirements directly in the file
4. **Transparency**: Always know what G3 is working on
## How It Works
### Automatic Saving
When you run G3 in accumulative mode:
```bash
g3
```
Each requirement you enter is automatically:
1. Added to the accumulated requirements list
2. Saved to `.g3/requirements.md` in your workspace
3. Used for the autonomous implementation run
### File Format
The `.g3/requirements.md` file uses a simple numbered list format:
```markdown
# Project Requirements
1. Create a simple web server in Python with Flask
2. Add a /health endpoint that returns JSON
3. Add logging for all requests
```
### Loading Existing Requirements
When you start G3 in a directory that already has a `.g3/requirements.md` file, it will:
1. Automatically load the existing requirements
2. Display them on startup
3. Continue numbering from where you left off
Example output:
```
📂 Loaded 3 existing requirement(s) from .g3/requirements.md
1. Create a simple web server in Python with Flask
2. Add a /health endpoint that returns JSON
3. Add logging for all requests
============================================================
📝 Turn 4 - What's next? (add more requirements or refinements)
============================================================
requirement>
```
## Commands
### View Requirements
Use the `/requirements` command to view all accumulated requirements:
```
requirement> /requirements
📋 Accumulated Requirements (saved to .g3/requirements.md):
1. Create a simple web server in Python with Flask
2. Add a /health endpoint that returns JSON
3. Add logging for all requests
```
### Other Commands
- `/help` - Show all available commands
- `/chat` - Switch to interactive chat mode (preserves requirements context)
- `exit` or `quit` - Exit the session
## File Location
The requirements file is stored at:
```
<workspace>/.g3/requirements.md
```
Where `<workspace>` is your current working directory.
## Version Control
The `.g3/` directory is automatically added to `.gitignore`, so your requirements won't be committed to version control by default. If you want to track requirements in git, you can:
1. Remove `.g3/` from `.gitignore`
2. Commit the `.g3/requirements.md` file
This can be useful for:
- Sharing requirements with team members
- Tracking requirement evolution over time
- Documenting project goals
## Manual Editing
You can manually edit `.g3/requirements.md` if needed. G3 will parse the file and load any numbered requirements (format: `1. requirement text`).
**Note**: Make sure to maintain the numbered list format for proper parsing.
## Error Handling
If G3 cannot save or load requirements, it will:
1. Display a warning message
2. Continue operating with in-memory requirements
3. Not interrupt your workflow
Example:
```
⚠️ Warning: Could not save requirements to .g3/requirements.md: Permission denied
```
## Use Cases
### Resuming Work
```bash
# Day 1: Start a project
cd my-project
g3
requirement> Create a REST API with user authentication
# ... work happens ...
exit
# Day 2: Resume work
cd my-project
g3
# G3 automatically loads previous requirements
requirement> Add password reset functionality
```
### Reviewing Progress
```bash
# Check what you've asked G3 to build
cat .g3/requirements.md
# Or use the command within G3
requirement> /requirements
```
### Sharing Requirements
```bash
# Share requirements with a team member
cp .g3/requirements.md requirements-backup.md
# Or commit to version control
git add .g3/requirements.md
git commit -m "Add project requirements"
```
## Implementation Details
### Functions
- `ensure_g3_dir()` - Creates `.g3` directory if it doesn't exist
- `load_existing_requirements()` - Loads requirements from `.g3/requirements.md`
- `save_requirements()` - Saves requirements to `.g3/requirements.md`
### File Structure
```
my-project/
├── .g3/
│ └── requirements.md # Accumulated requirements
├── logs/ # Session logs (existing)
└── ... (your project files)
```
## Benefits
1. **No data loss**: Requirements are persisted even if G3 crashes or is interrupted
2. **Transparency**: Always know what G3 is working on
3. **Resumability**: Pick up where you left off in any session
4. **Documentation**: Requirements serve as project documentation
5. **Collaboration**: Share requirements with team members
6. **Auditability**: Track what was requested and when
## Comparison with Traditional Autonomous Mode
| Feature | Accumulative Mode | Traditional `--autonomous` |
|---------|------------------|---------------------------|
| Requirements file | `.g3/requirements.md` | `requirements.md` (root) |
| Auto-save | ✅ Yes | ❌ No (manual edit) |
| Interactive | ✅ Yes | ❌ No |
| Incremental | ✅ Yes | ❌ No (one-shot) |
| Resume support | ✅ Yes | ⚠️ Manual |
## Future Enhancements
Potential future improvements:
- Requirement status tracking (pending, in-progress, completed)
- Requirement dependencies and ordering
- Requirement templates and snippets
- Integration with issue trackers
- Requirement validation and linting

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@@ -1,36 +0,0 @@
#!/bin/bash
# Test script for .g3/requirements.md feature
set -e
echo "Testing .g3/requirements.md feature..."
echo ""
# Create a test directory
TEST_DIR="/tmp/g3_test_$$"
mkdir -p "$TEST_DIR"
cd "$TEST_DIR"
echo "Test directory: $TEST_DIR"
echo ""
# Create a simple test by simulating user input
echo "Testing requirement persistence..."
echo ""
# Check if .g3 directory gets created
if [ ! -d ".g3" ]; then
echo "✅ .g3 directory does not exist yet (expected)"
else
echo "❌ .g3 directory already exists (unexpected)"
fi
echo ""
echo "Test directory created at: $TEST_DIR"
echo "You can manually test by running:"
echo " cd $TEST_DIR"
echo " g3"
echo ""
echo "Then enter a requirement and check if .g3/requirements.md is created."
echo ""