Standardize project name to lowercase 'g3' throughout documentation, comments, and configuration files. Environment variables (G3_*) are unchanged as they follow the uppercase convention.
117 lines
4.8 KiB
Markdown
117 lines
4.8 KiB
Markdown
# AGENTS.md - Machine Instructions for g3
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**Purpose**: Machine-specific instructions for AI agents working with this codebase.
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**For project overview, architecture, and usage**: See [README.md](README.md)
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## Critical Invariants
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### MUST Hold
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1. **Tool calls must be valid JSON** - The streaming parser expects well-formed tool calls
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2. **Context window limits must be respected** - Exceeding limits causes API errors
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3. **Provider trait implementations must be Send + Sync** - Required for async runtime
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4. **Session IDs must be unique** - Used for log file paths and TODO scoping
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5. **File paths in tools support tilde expansion** - `~` expands to home directory
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6. **Streaming is preferred** - Non-streaming requests block UI
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7. **Tool results are size-limited** - Large outputs are truncated or thinned automatically
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### MUST NOT Do
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1. **Never block the async runtime** - Use `tokio::spawn` for CPU-intensive work
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2. **Never store secrets in logs** - API keys are redacted in error logs
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3. **Never modify files outside working directory without explicit permission**
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4. **Never assume tool results fit in context** - Large results are thinned automatically
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## Recommended Entry Points
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### For Understanding the System
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1. `src/main.rs` - Entry point (trivial)
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2. `crates/g3-cli/src/lib.rs` - CLI logic and execution modes
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3. `crates/g3-core/src/lib.rs` - Agent struct and orchestration
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4. `crates/g3-providers/src/lib.rs` - Provider trait definition
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### For Adding Features
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1. **New tool**: `crates/g3-core/src/tool_definitions.rs` → `crates/g3-core/src/tools/`
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2. **New provider**: `crates/g3-providers/src/` → implement `LLMProvider` trait
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3. **New CLI mode**: `crates/g3-cli/src/lib.rs`
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4. **New config option**: `crates/g3-config/src/lib.rs`
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### For Debugging
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1. Session logs: `.g3/sessions/<session_id>/session.json`
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2. Error logs: `.g3/errors/`
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3. Context state: Use `/stats` command in interactive mode
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## Dangerous/Subtle Code Paths
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### Context Window Management (`g3-core/src/context_window.rs`)
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- **Thinning**: Automatically replaces large tool results with file references
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- **Summarization**: Compresses conversation history at 80% capacity
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- **Token estimation**: Uses character-based heuristics, not exact tokenization
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- **Risk**: Incorrect token estimates can cause context overflow
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### Streaming Parser (`g3-core/src/streaming_parser.rs`)
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- Parses LLM responses in real-time for tool calls
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- Must handle partial JSON across chunk boundaries
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- **Risk**: Malformed responses can cause parsing failures
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### Tool Dispatch (`g3-core/src/tool_dispatch.rs`)
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- Routes tool calls to implementations
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- Handles both native and JSON-based tool calling
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- **Risk**: Missing dispatch cases cause silent failures
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### Retry Logic (`g3-core/src/retry.rs`)
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- Exponential backoff with jitter
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- Different configs for interactive vs autonomous mode
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- **Risk**: Aggressive retries can hit rate limits harder
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## Do's and Don'ts for Automated Changes
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### Do
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- ✅ Run `cargo check` after modifications
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- ✅ Run `cargo test` before committing
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- ✅ Update tool definitions when adding tools
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- ✅ Add tests for new functionality
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- ✅ Use existing patterns for similar features
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- ✅ Keep functions under 80 lines
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- ✅ Update documentation for user-facing changes
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### Don't
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- ❌ Modify `Cargo.toml` dependencies without justification
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- ❌ Add blocking code in async contexts
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- ❌ Store sensitive data in plain text
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- ❌ Ignore error handling
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- ❌ Create deeply nested conditionals (>6 levels)
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- ❌ Add external dependencies for simple tasks
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## Common Incorrect Assumptions
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1. **"All providers support tool calling"** - Embedded models use JSON fallback
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2. **"Context window is unlimited"** - Each provider has limits (4k-200k tokens)
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3. **"Tool results are always small"** - File reads can return megabytes
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4. **"Sessions persist across runs"** - Sessions are ephemeral by default
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5. **"All platforms are equal"** - macOS has more features (Vision, Accessibility)
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## Dependency Analysis Artifacts
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The `analysis/deps/` directory contains static analysis artifacts generated by the Euler agent:
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| File | Purpose |
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|------|--------|
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| `graph.json` | Raw dependency graph data (crate and file-level edges with evidence) |
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| `graph.summary.md` | Overview metrics: crate counts, edge counts, fan-in/fan-out rankings |
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| `sccs.md` | Strongly Connected Components analysis (cycle detection via Tarjan's algorithm) |
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| `layers.observed.md` | Mechanically-derived layer diagram showing crate hierarchy and intra-crate module structure |
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| `hotspots.md` | Coupling hotspots: files/crates with disproportionate fan-in or fan-out (>2× average) |
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| `limitations.md` | Known limitations of the static analysis (conditional compilation, macros, re-exports) |
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These artifacts are useful for understanding coupling, planning refactors, and identifying architectural boundaries.
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