# Workspace Memory > Updated: 2026-01-27T02:55:20Z | Size: 21.9k chars ### Remember Tool Wiring - `crates/g3-core/src/tools/memory.rs` [0..5000] - `execute_remember()`, `get_memory_path()`, `merge_memory()` - `crates/g3-core/src/tool_definitions.rs` [11000..12000] - remember tool definition in `create_core_tools()` - `crates/g3-core/src/tool_dispatch.rs` [48] - dispatch case for "remember" - `crates/g3-core/src/prompts.rs` [4200..6500] - Workspace Memory section in native prompt - `crates/g3-cli/src/lib.rs` [1472..1495] - `read_workspace_memory()` loads memory at startup ### Context Window & Compaction - `crates/g3-core/src/context_window.rs` [0..815] - `ContextWindow`, `reset_with_summary()`, `should_compact()`, `thin_context()` - `crates/g3-core/src/lib.rs` [0..132483] - `Agent` struct, `force_compact()`, `stream_completion_with_tools()` ### Session Storage & Continuation - `crates/g3-core/src/session_continuation.rs` [0..541] - `SessionContinuation`, `save_continuation()`, `load_continuation()` - `crates/g3-core/src/paths.rs` [0..133] - `get_session_logs_dir()`, `get_thinned_dir()`, `get_session_file()` - `crates/g3-core/src/session.rs` - Session logging utilities ### Tool System - `crates/g3-core/src/tool_definitions.rs` [0..544] - `create_core_tools()`, `create_tool_definitions()`, `ToolConfig` - `crates/g3-core/src/tool_dispatch.rs` [0..73] - `dispatch_tool()` routing ### CLI Argument Parsing - `crates/g3-cli/src/lib.rs` [270..380] - `Cli` struct with clap derive macros - `crates/g3-cli/src/lib.rs` [1700..2200] - `run_interactive()` with `/` command handlers ### Streaming Markdown Formatter - `crates/g3-cli/src/streaming_markdown.rs` [21500..22500] - `format_header()` processes headers with inline formatting - `crates/g3-cli/tests/streaming_markdown_test.rs` - Tests for markdown formatting including `test_bold_inside_header`, `test_italic_inside_header`, `test_code_inside_header`, `test_mixed_formatting_inside_header` ### Auto-Memory Feature - `crates/g3-core/src/lib.rs` [1459..1522] - `send_auto_memory_reminder()` sends reminder to LLM after tool calls - `crates/g3-core/src/lib.rs` [1451..1454] - `set_auto_memory()` enables/disables auto-memory - `crates/g3-core/src/lib.rs` [116] - `tool_calls_this_turn: Vec` tracks tools called per turn - `crates/g3-cli/src/lib.rs` [393] - `auto_memory: bool` CLI flag definition - `crates/g3-cli/src/lib.rs` [641..642, 684..685] - Flag applied to agent in console/machine modes - `crates/g3-cli/src/lib.rs` [1340..1350, 1394..1404] - Auto-memory reminder called in single-shot mode - `crates/g3-cli/src/lib.rs` [1758, 1931, 2216] - Auto-memory reminder called in interactive mode ### Tool Call Tracking - `crates/g3-core/src/lib.rs` [2843..2855] - `execute_tool_in_dir()` tracks all tool calls for auto-memory ### Agent Mode - `crates/g3-cli/src/lib.rs` [695..910] - `run_agent_mode()` handles specialized agent execution with custom prompts - `crates/g3-cli/src/lib.rs` [820..835] - Agent creation with `Agent::new_with_custom_prompt()` - `crates/g3-cli/src/lib.rs` [837] - `agent.set_agent_mode()` enables agent-specific session tracking ### CLI Entry Points and Modes - `crates/g3-cli/src/lib.rs` [0..140000] - `run()` main entry, `run_agent_mode()`, `run_accumulative_mode()`, `run_autonomous()`, `run_interactive()`, `run_interactive_machine()` - `crates/g3-cli/src/lib.rs` - `execute_task()` (~line 1990), `execute_task_machine()` (~line 2262) - duplicated retry logic ### Retry Infrastructure - `crates/g3-core/src/retry.rs` [0..12000] - `execute_with_retry()`, `retry_operation()`, `RetryConfig`, `RetryResult` - used by g3-planner but not g3-cli ### UI Abstraction Layer - `crates/g3-core/src/ui_writer.rs` [0..4500] - `UiWriter` trait, `NullUiWriter` - `crates/g3-cli/src/ui_writer_impl.rs` [0..14000] - `ConsoleUiWriter` implementation - `crates/g3-cli/src/simple_output.rs` [0..1200] - `SimpleOutput` helper (separate from UiWriter) ### Feedback Extraction - `crates/g3-core/src/feedback_extraction.rs` [0..22000] - `extract_coach_feedback()`, `try_extract_from_session_log()`, `try_extract_from_native_tool_call()` ### Streaming Utilities - `crates/g3-core/src/streaming.rs` [0..10000] - `truncate_line()`, `truncate_for_display()`, `log_stream_error()`, `is_connection_error()` ### Background Process Management - `crates/g3-core/src/background_process.rs` [0..3000] - `BackgroundProcessManager`, `start()`, `list()`, `is_running()`, `get()`, `remove()` - Design: No `stop()` method - processes are stopped via shell tool using `kill ` ### Unified Diff Application - `crates/g3-core/src/utils.rs` [5000..15000] - `apply_unified_diff_to_string()`, `parse_unified_diff_hunks()` - Handles multi-hunk diffs, CRLF normalization, range constraints ### Error Classification - `crates/g3-core/src/error_handling.rs` [0..567 lines] - `classify_error()`, `ErrorType`, `RecoverableError` - Priority order: rate limit > network > server > busy > timeout > token limit > context length - Note: "Connection timeout" classifies as NetworkError (not Timeout) due to "connection" keyword priority ### CLI Module Extractions - `crates/g3-cli/src/metrics.rs` [0..5416] - `TurnMetrics`, `format_elapsed_time()`, `generate_turn_histogram()` - `crates/g3-cli/src/project_files.rs` [0..5577] - `read_agents_config()`, `read_project_readme()`, `read_workspace_memory()`, `extract_readme_heading()` - `crates/g3-cli/src/coach_feedback.rs` [0..4025] - `extract_from_logs()` for coach-player loop feedback extraction ### Context Compaction - `crates/g3-core/src/compaction.rs` [0..11213] - `perform_compaction()`, `CompactionResult`, `CompactionConfig`, `calculate_capped_summary_tokens()`, `should_disable_thinking()`, `build_summary_messages()`, `apply_summary_fallback_sequence()` - Unified compaction used by both `force_compact()` and auto-compaction in `stream_completion_with_tools()` ### Streaming Markdown Formatter (Code Blocks) - `crates/g3-cli/src/streaming_markdown.rs` [693..735] - `flush_incomplete()` handles unclosed blocks at end of stream - `crates/g3-cli/src/streaming_markdown.rs` [654..675] - `emit_code_block()` joins block_buffer and highlights code - `crates/g3-cli/src/streaming_markdown.rs` [439..462] - `process_in_code_block()` detects closing fence on newline - Bug fix: closing ``` without trailing newline must be detected in flush_incomplete(), not just process_in_code_block() ### ACD (Aggressive Context Dehydration) - `crates/g3-core/src/acd.rs` [0..22000] - `Fragment`, `Fragment::new()`, `Fragment::save()`, `Fragment::load()`, `generate_stub()`, `list_fragments()`, `get_latest_fragment_id()` - `crates/g3-core/src/tools/acd.rs` [0..8500] - `execute_rehydrate()` tool implementation - `crates/g3-core/src/paths.rs` [3200..3400] - `get_fragments_dir()` returns `.g3/sessions//fragments/` - `crates/g3-core/src/compaction.rs` [195..240] - ACD integration in `perform_compaction()`, creates fragment and stub when `acd_enabled` - `crates/g3-core/src/context_window.rs` [10100..10700] - `reset_with_summary_and_stub()` adds stub before summary - `crates/g3-cli/src/lib.rs` [157..161] - `--acd` CLI flag - `crates/g3-cli/src/lib.rs` [1476..1525] - `/fragments` and `/rehydrate` commands ### ACD Fragment Storage Format ```json { "fragment_id": "abc123", "created_at": "2026-01-11T...", "messages": [...], "message_count": 47, "user_message_count": 23, "assistant_message_count": 24, "tool_call_summary": {"read_file": 4, "shell": 5}, "estimated_tokens": 18500, "topics": ["implemented auth", "fixed bug"], "preceding_fragment_id": "xyz789" } ``` ### UTF-8 Safe String Slicing Pattern **Problem**: Rust string slices (`&s[..n]`) use byte indices, not character indices. Multi-byte UTF-8 characters (emoji, bullets `•`, `×`, `⚡`) cause panics if sliced mid-character. **Solution**: Use `char_indices()` to find byte boundaries: ```rust // Get byte index of the Nth character let byte_idx = s.char_indices() .nth(char_limit) .map(|(i, _)| i) .unwrap_or(s.len()); let truncated = &s[..byte_idx]; // For length checks, use chars().count() not len() if s.chars().count() <= max_len { ... } ``` **Danger zones**: Display truncation, ACD stubs, user input handling, any string with non-ASCII characters. ### CLI Module Structure (Post-Refactor) - `crates/g3-cli/src/lib.rs` [0..415] - Entry point, `run()`, mode dispatch, config loading - `crates/g3-cli/src/cli_args.rs` [0..133] - `Cli` struct with clap derive macros, argument parsing - `crates/g3-cli/src/autonomous.rs` [0..785] - `run_autonomous()`, coach-player feedback loop - `crates/g3-cli/src/agent_mode.rs` [0..284] - `run_agent_mode()` specialized agent execution - `crates/g3-cli/src/accumulative.rs` [0..343] - `run_accumulative_mode()` iterative requirements - `crates/g3-cli/src/interactive.rs` [0..851] - `run_interactive()`, `run_interactive_machine()`, REPL with `/` commands - `crates/g3-cli/src/task_execution.rs` [0..212] - `execute_task_with_retry()`, `OutputMode` enum - unified retry logic - `crates/g3-cli/src/utils.rs` [0..91] - `display_welcome_message()`, `get_workspace_path()` ### Studio - Multi-Agent Workspace Manager - `crates/studio/src/main.rs` [0..12500] - `cmd_run()`, `cmd_status()`, `cmd_accept()`, `cmd_discard()`, `extract_session_summary()` - `crates/studio/src/session.rs` - `Session`, `SessionStatus`, session metadata management - `crates/studio/src/git.rs` - `GitWorktree`, git worktree management for isolated agent sessions **Session log format**: Session logs are stored at `/.g3/sessions//session.json` with structure: ```json { "context_window": { "conversation_history": [{"role": "...", "content": "..."}], "percentage_used": 45.2, "total_tokens": 200000, "used_tokens": 90400 }, "session_id": "...", "status": "...", "timestamp": "..." } ``` ### Workspace Memory Location - Memory is now stored at `analysis/memory.md` (version controlled, shared across worktrees) - `crates/g3-core/src/tools/memory.rs` - `get_memory_path()` returns `analysis/memory.md` - `crates/g3-cli/src/project_files.rs` - `read_workspace_memory()` reads from `analysis/memory.md` ### Compact Tool Output - `crates/g3-cli/src/ui_writer_impl.rs` - `print_tool_compact()` handles compact display for file ops and other tools - `crates/g3-core/src/streaming.rs` - `format_*_summary()` functions for each tool type ### Racket Code Search Support Tree-sitter based syntax-aware search for Racket `.rkt` files. - `crates/g3-core/src/code_search/searcher.rs` - Racket parser init [~line 45] - `tree_sitter_racket::LANGUAGE` - Extension mapping [~line 90] - `.rkt`, `.rktl`, `.rktd` → "racket" ### Auto-Memory Reminder Format Rich few-shot prompting for higher quality memory entries with per-symbol char ranges. - `crates/g3-core/src/lib.rs` - `send_auto_memory_reminder()` [47800..48800] - MEMORY CHECKPOINT prompt with few-shot examples - `crates/g3-core/src/prompts.rs` - Memory Format section [3800..4500] - system prompt template and examples ### Language-Specific Prompt Injection Auto-detects programming languages in workspace and injects toolchain guidance. - `crates/g3-cli/src/language_prompts.rs` - `LANGUAGE_PROMPTS` [12..19] - static array of (lang_name, extensions, prompt_content) - `detect_languages()` [22..32] - scans workspace for language files - `get_language_prompts_for_workspace()` [88..108] - returns formatted prompt for detected languages - `scan_directory_for_extensions()` [42..77] - recursive scan with depth limit (2), skips hidden/vendor dirs - `prompts/langs/` - directory for language prompt markdown files - `racket.md` - Racket/raco toolchain guidance (compilation, testing, analysis, profiling) - `crates/g3-cli/src/project_files.rs` - `combine_project_content()` [89..106] - now accepts `language_content` parameter To add a new language: 1. Create `prompts/langs/.md` with toolchain guidance 2. Add entry to `LANGUAGE_PROMPTS` in `language_prompts.rs` with extensions ### Agent-Specific Language Prompts Injects agent+language-specific guidance when running in agent mode in a workspace with detected languages. - `crates/g3-cli/src/language_prompts.rs` - `AGENT_LANGUAGE_PROMPTS` [21..26] - static array of (agent_name, lang_name, prompt_content) tuples - `get_agent_language_prompt()` [115..121] - looks up prompt for specific agent+lang combo - `get_agent_language_prompts_for_workspace()` [124..137] - uses `detect_languages()` then looks up agent-specific prompts - `crates/g3-cli/src/agent_mode.rs` - Lines 149-159 - calls `get_agent_language_prompts_for_workspace()` and appends to system prompt - `prompts/langs/..md` - file naming pattern for agent+lang prompts - `prompts/langs/carmack.racket.md` - Racket-specific guidance for carmack agent To add a new agent+lang prompt: 1. Create `prompts/langs/..md` 2. Add entry to `AGENT_LANGUAGE_PROMPTS` in `language_prompts.rs` with `include_str!` ### MockProvider for Testing Configurable mock LLM provider for integration testing without real API calls. - `crates/g3-providers/src/mock.rs` - `MockProvider` [220..320] - mock provider with response queue, request tracking - `MockResponse` [35..200] - configurable response with chunks and usage - `MockChunk` [45..100] - individual streaming chunk (content, finished, tool_calls) - `scenarios` module [410..480] - preset scenarios: `text_only_response()`, `multi_turn()`, `tool_then_response()` - `crates/g3-core/tests/mock_provider_integration_test.rs` - `test_butler_bug_scenario()` - reproduces consecutive user messages bug - `test_text_only_response_saves_to_context()` - verifies text responses saved - `test_multi_turn_text_only_maintains_alternation()` - verifies user/assistant alternation Usage pattern: ```rust let provider = MockProvider::new() .with_response(MockResponse::text("Hello!")); let mut registry = ProviderRegistry::new(); registry.register(provider); let agent = Agent::new_for_test(config, NullUiWriter, registry).await?; ``` ### G3 Status Message Formatting Centralized formatting for all "g3:" prefixed system status messages. - `crates/g3-cli/src/g3_status.rs` - `G3Status` - static methods for consistent status message formatting - `Status` enum - `Done`, `Failed`, `Error(String)`, `Custom(String)`, `Resolved`, `Insufficient` - `progress()` [64..76] - prints "g3: ..." (no newline, stays on same line) - `progress_ln()` [79..90] - prints "g3: ..." with newline - `done()` [93..101] - prints bold green "[done]" - `failed()` [104..111] - prints red "[failed]" - `error()` [114..122] - prints red "[error: ]" - `status()` [125..152] - dispatches to appropriate status method - `complete()` [155..158] - one-shot progress + status - `info_inline()` [168..178] - ANSI escape to append to previous line - `format_status()` [181..214] - returns formatted status string - `resuming()` [227..236] - session resume message with cyan session ID - `resuming_summary()` [239..248] - resume with "(summary)" note ### ThinResult Struct Semantic data for context thinning operations, replacing pre-formatted strings. - `crates/g3-core/src/context_window.rs` - `ThinResult` [16..36] - struct with scope, before/after percentages, counts, chars_saved, had_changes - `thin_context_with_scope()` [373..450] - returns `ThinResult` instead of `(String, usize)` - `build_thin_result()` [720..740] - constructs `ThinResult` from operation data - `crates/g3-core/src/ui_writer.rs` - `print_thin_result(&self, result: &ThinResult)` [31] - trait method for UI formatting - `crates/g3-cli/src/g3_status.rs` - `Status::NoChanges` [42] - new status variant for thinning with no changes - `G3Status::thin_result()` [265..292] - formats ThinResult with proper colors/styling ### CLI Display Utilities Shared display functions for interactive and agent modes. - `crates/g3-cli/src/display.rs` - `format_workspace_path()` [9..17] - formats path with ~ for home dir - `print_workspace_path()` [20..29] - prints formatted workspace path - `LoadedContent` [32..39] - tracks loaded project files (README, AGENTS.md, Memory, include prompt) - `print_loaded_status()` [87..103] - prints "✓ README ✓ AGENTS.md" status line - `print_project_heading()` [106..114] - prints project name from README ### Interactive Commands Module Handles `/` commands in interactive mode (extracted from interactive.rs). - `crates/g3-cli/src/commands.rs` - `handle_command()` [17..320] - dispatches `/help`, `/compact`, `/thinnify`, `/skinnify`, `/fragments`, `/rehydrate`, `/run`, `/dump`, `/clear`, `/readme`, `/stats`, `/resume` - Returns `Result` - true if command handled and loop should continue ### Streaming State Management State structs for the main streaming loop in `stream_completion_with_tools()`. - `crates/g3-core/src/streaming.rs` - `StreamingState` [17..42] - cross-iteration state: `full_response`, `first_token_time`, `stream_start`, `iteration_count`, `response_started`, `any_tool_executed`, `assistant_message_added`, `turn_accumulated_usage` - `IterationState` [65..90] - per-iteration state: `parser`, `current_response`, `tool_executed`, `chunks_received`, `raw_chunks`, `accumulated_usage`, `stream_stop_reason` - `MAX_ITERATIONS` [15] - constant (400) for loop safety - `crates/g3-core/src/lib.rs` - `stream_completion_with_tools()` [1879..2712] - 834-line main streaming loop, uses `state: StreamingState` and `iter: IterationState` ### Tool Output Formatting Centralized logic for determining how to display tool execution results. - `crates/g3-core/src/streaming.rs` - `ToolOutputFormat` [100..112] - enum: SelfHandled, Compact(String), Regular - `format_tool_result_summary()` [114..145] - returns ToolOutputFormat based on tool name and success - `is_compact_tool()` [147..162] - checks if tool uses one-line summaries (read_file, write_file, str_replace, etc.) - `is_self_handled_tool()` [164..167] - checks if tool handles own output (todo_read, todo_write) - `format_compact_tool_summary()` [169..185] - dispatches to format_*_summary() based on tool name - `parse_diff_stats()` [187..210] - parses "+N insertions | -M deletions" from str_replace result ### Prompt Cache Statistics Tracking Tracks prompt/prefix caching efficacy across Anthropic and OpenAI providers. - `crates/g3-providers/src/lib.rs` - `Usage` [195..210] - added `cache_creation_tokens` and `cache_read_tokens` fields with `#[serde(default)]` - `crates/g3-providers/src/anthropic.rs` - `AnthropicUsage` [944..956] - parses `cache_creation_input_tokens` and `cache_read_input_tokens` - `crates/g3-providers/src/openai.rs` - `OpenAIUsage` [494..510] - parses `prompt_tokens_details.cached_tokens` - `OpenAIPromptTokensDetails` [504..510] - nested struct for prompt token details - `crates/g3-core/src/lib.rs` - `CacheStats` [75..90] - cumulative cache statistics struct with `total_cache_creation_tokens`, `total_cache_read_tokens`, `total_input_tokens`, `cache_hit_calls`, `total_calls` - `Agent.cache_stats` [106] - field tracking cumulative cache stats - Cache stats updated in `stream_completion_with_tools()` [2140..2150] when usage data received - `crates/g3-core/src/stats.rs` - `AgentStatsSnapshot.cache_stats` [20] - reference to cache stats for formatting - `format_cache_stats()` [189..230] - formats cache statistics section with hit rate and efficiency metrics ### Embedded Provider (Local LLM via llama.cpp) Local model inference using llama-cpp-rs bindings with Metal acceleration on macOS. - `crates/g3-providers/src/embedded.rs` - `EmbeddedProvider` [22..85] - struct with session, model_name, max_tokens, temperature, context_length - `new()` [26..85] - constructor, handles tilde expansion, auto-downloads Qwen if missing - `format_messages()` [87..175] - converts Message[] to prompt string, supports Qwen/Mistral/Llama templates - `get_stop_sequences()` [280..340] - returns model-specific stop tokens - `generate_completion()` [177..278] - non-streaming inference with timeout - `stream()` [560..780] - streaming inference via spawn_blocking + mpsc channel **Known Issues (as of 2025-01):** - Provider name hardcoded as `"embedded"` instead of `"embedded.{name}"` format - Missing GLM-4 chat template (uses `[gMASK]<|role|>` NOT ChatML) - Missing `has_native_tool_calling()` override (defaults to false) - No streaming usage tracking (unlike Anthropic) - No tool streaming hints (`make_tool_streaming_hint()` not used) ### Chat Template Formats (Embedded Provider) | Model | Format | Start Token | End Token | |-------|--------|-------------|----------| | Qwen | ChatML | `<\|im_start\|>role\n` | `<\|im_end\|>` | | GLM-4 | ChatGLM4 | `[gMASK]<\|role\|>\n` | `<\|endoftext\|>` | | Mistral | Instruct | `[INST]` | `[/INST]` | | Llama | Llama2 | `<>` | `<>` | ### GLM-4 Model Downloads Recommended GGUF models for Mac M4 Max with 128GB unified memory. **Download commands:** ```bash # GLM-4 9B Q8_0 (~10GB) - Very capable, fast python3 -m huggingface_hub.commands.huggingface_cli download bartowski/THUDM_GLM-4-9B-0414-GGUF \ --include "THUDM_GLM-4-9B-0414-Q8_0.gguf" --local-dir ~/.g3/models/ # GLM-4 32B Q6_K_L (~27GB) - TOP TIER for coding/reasoning python3 -m huggingface_hub.commands.huggingface_cli download bartowski/THUDM_GLM-4-32B-0414-GGUF \ --include "THUDM_GLM-4-32B-0414-Q6_K_L.gguf" --local-dir ~/.g3/models/ # Qwen3 4B Q4_K_M (~2.3GB) - Small but rivals 72B performance python3 -m huggingface_hub.commands.huggingface_cli download Qwen/Qwen3-4B-GGUF \ --include "qwen3-4b-q4_k_m.gguf" --local-dir ~/.g3/models/ ``` **Config example:** ```toml [providers.embedded.glm4] model_path = "~/.g3/models/THUDM_GLM-4-32B-0414-Q6_K_L.gguf" model_type = "glm4" context_length = 32768 max_tokens = 4096 gpu_layers = 99 ```