# AGENTS.md - Machine Instructions for g3 **Purpose**: Machine-specific instructions for AI agents working with this codebase. **For code locations**: See Workspace Memory (loaded automatically) **For project overview**: See [README.md](README.md) ## Critical Invariants ### MUST Hold 1. **Tool calls must be valid JSON** - The streaming parser expects well-formed tool calls 2. **Context window limits must be respected** - Exceeding limits causes API errors 3. **Provider trait implementations must be Send + Sync** - Required for async runtime 4. **Session IDs must be unique** - Used for log file paths and TODO scoping 5. **File paths in tools support tilde expansion** - `~` expands to home directory 6. **Streaming is preferred** - Non-streaming requests block UI 7. **Tool results are size-limited** - Large outputs are truncated or thinned automatically 8. **String slicing must be UTF-8 safe** - Use `chars().take(n)` or `char_indices()`, never byte slicing like `&s[..n]` on user-facing strings ### MUST NOT Do 1. **Never block the async runtime** - Use `tokio::spawn` for CPU-intensive work 2. **Never store secrets in logs** - API keys are redacted in error logs 3. **Never modify files outside working directory without explicit permission** 4. **Never assume tool results fit in context** - Large results are thinned automatically 5. **Never use byte-index string slicing on text with potential multi-byte characters** - Causes panics on emoji, CJK, box-drawing chars ## Adding Features - **New tool**: Add definition in `tool_definitions.rs`, implement in `tools/`, add dispatch case - **New provider**: Implement `LLMProvider` trait in `g3-providers` - **New CLI mode**: Add to CLI args, implement handler in `g3-cli` - **New config option**: Add to `g3-config` structs ## Dangerous Code Paths These areas have subtle bugs if modified incorrectly: | Area | Risk | |------|------| | **Context window management** | Incorrect token estimates cause context overflow | | **Streaming parser** | Partial JSON across chunks causes parsing failures | | **Tool dispatch** | Missing dispatch cases cause silent failures | | **Retry logic** | Aggressive retries hit rate limits harder | | **Parser sanitization** | Inline JSON can trigger false tool call detection | ## Do's and Don'ts ### Do - ✅ Run `cargo check` after modifications - ✅ Run `cargo test` before committing - ✅ Update tool definitions when adding tools - ✅ Add tests for new functionality - ✅ Keep functions under 80 lines ### Don't - ❌ Add blocking code in async contexts - ❌ Store sensitive data in plain text - ❌ Ignore error handling - ❌ Create deeply nested conditionals (>6 levels) - ❌ Add external dependencies for simple tasks ## Common Incorrect Assumptions 1. **"All providers support tool calling"** - Embedded models use JSON fallback 2. **"Context window is unlimited"** - Each provider has limits (4k-200k tokens) 3. **"Tool results are always small"** - File reads can return megabytes 4. **"Sessions persist across runs"** - Sessions are ephemeral by default 5. **"All platforms are equal"** - macOS has more features (Vision, Accessibility)