diff --git a/.gitignore b/.gitignore index f766fe51..ba7e58f6 100644 --- a/.gitignore +++ b/.gitignore @@ -216,3 +216,4 @@ __marimo__/ .claude/ .codex +.tau/ diff --git a/examples/.test_scripts/check-examples.py b/examples/.test_scripts/check-examples.py index 1e7e4d2c..f9b1182f 100755 --- a/examples/.test_scripts/check-examples.py +++ b/examples/.test_scripts/check-examples.py @@ -30,6 +30,12 @@ ["fastapi", "textual", "websockets"], ["."], ), + ( + "tau-agent", + REPO / "examples" / "tau-agent", + ["textual"], + ["."], + ), ( "temporal-direct", REPO / "examples" / "temporal-direct", diff --git a/examples/tau-agent/.gitignore b/examples/tau-agent/.gitignore new file mode 100644 index 00000000..115444d7 --- /dev/null +++ b/examples/tau-agent/.gitignore @@ -0,0 +1,13 @@ +# Python +__pycache__/ +*.py[cod] +*.egg-info/ +.venv/ +dist/ + +# Environment +.env +.env*.local + +# Tau session history +.tau/ diff --git a/examples/tau-agent/AGENTS.md b/examples/tau-agent/AGENTS.md new file mode 100644 index 00000000..f59054d1 --- /dev/null +++ b/examples/tau-agent/AGENTS.md @@ -0,0 +1,49 @@ +# AGENTS.md — tau-agent + +## Overview + +`tau` is a single-process coding-agent TUI built on the `ai` library and +Textual. It gives the model seven filesystem/shell tools (read, write, +edit, bash, grep, find, ls) with an approval gate for mutating +operations. + +## Project layout + +``` +tau/ + app.py — Textual app, chat loop, approval flow + tools.py — tool definitions (mirrors pi's seven built-ins) + session.py — JSONL session persistence and resume +pyproject.toml — project metadata, dependencies, ruff/mypy config +``` + +## TODO list + +There may be a task list in `.tau/TODO` — check it for current +priorities and open items. + +## Running + +```bash +uv sync # install deps +uv run tau # launch the TUI +``` + +## Linting & type-checking + +```bash +uv run ruff check . # lint +uv run ruff format --check # format check +uv run mypy tau # type-check +``` + +## Conventions + +- Python ≥ 3.12. +- Line length: 80 (`ruff` and project style). +- Lint rule set: E, F, I, UP, B, SIM (see `pyproject.toml`). +- No workspace jail — the approval gate is the safety mechanism. +- Approval-gated tools (`write`, `edit`, `bash`) require operator + confirmation; reads are auto-approved. +- Sessions persist as JSONL under `.tau/sessions/`. +- Commit messages for this subdirectory should be prefixed with `[tau]`. diff --git a/examples/tau-agent/README.md b/examples/tau-agent/README.md new file mode 100644 index 00000000..22d70039 --- /dev/null +++ b/examples/tau-agent/README.md @@ -0,0 +1,41 @@ +# tau-agent + +`tau` is a coding-agent demo built on the `ai` library. Single +process, Textual TUI, streaming replies, pi-style tool surface: + +- **`read`** — read files; offset/limit pagination with continuation hints +- **`write`** — create / overwrite a file +- **`edit`** — exact-match str_replace, multiple disjoint edits per call +- **`bash`** — run a shell command in cwd, output truncated to the last 50KB / 2000 lines *(requires approval)* +- **`grep`** — regex search (skips `.git`, `node_modules`, etc.) +- **`find`** — glob match +- **`ls`** — directory listing + +Approval-gated tools fire a `ToolApproval` hook; the composer turns +into a `[y/n]` prompt mid-turn. Unrelated text typed during a +pending approval falls through to the message queue — the hook stays +pending until you give it a y or n. + +No workspace jail. The approval gate is the safety mechanism; +everything else relies on you watching the prompts. + +## Setup + +```bash +uv sync +``` + +## Running + +```bash +uv run tau +``` + +Type a message, hit enter. `ctrl+c` to quit. + +## Environment + +| Variable | Description | Default | +|----------|-------------|---------| +| `AI_GATEWAY_API_KEY` | Vercel AI Gateway API key | — | +| `TAU_MODEL` | Model id passed to `ai.ai_gateway(...)` | `anthropic/claude-sonnet-4.5` | diff --git a/examples/tau-agent/pyproject.toml b/examples/tau-agent/pyproject.toml new file mode 100644 index 00000000..cc023037 --- /dev/null +++ b/examples/tau-agent/pyproject.toml @@ -0,0 +1,35 @@ +[project] +name = "tau-agent" +version = "0.1.0" +description = "Tau — a coding-agent chat bot demo built with the ai library and Textual" +requires-python = ">=3.12" +dependencies = [ + "ai[anthropic,openai]", + "textual>=3.0", +] + +[project.scripts] +tau = "tau.app:main" + +[build-system] +requires = ["hatchling"] +build-backend = "hatchling.build" + +[tool.hatch.build.targets.wheel] +packages = ["tau"] + +[tool.uv.sources] +ai = { path = "../..", editable = true } + +[tool.ruff] +line-length = 80 +target-version = "py312" + +[tool.ruff.lint] +select = ["E", "F", "I", "UP", "B", "SIM"] + +[dependency-groups] +dev = [ + "mypy~=2.1.0", + "ruff>=0.15.12", +] diff --git a/examples/tau-agent/tau/__init__.py b/examples/tau-agent/tau/__init__.py new file mode 100644 index 00000000..4056ccaf --- /dev/null +++ b/examples/tau-agent/tau/__init__.py @@ -0,0 +1 @@ +"""tau — a coding-agent chat bot built on the `ai` library and Textual.""" diff --git a/examples/tau-agent/tau/__main__.py b/examples/tau-agent/tau/__main__.py new file mode 100644 index 00000000..6abfa365 --- /dev/null +++ b/examples/tau-agent/tau/__main__.py @@ -0,0 +1,5 @@ +"""Entry point for ``python -m tau``.""" + +from tau.app import main + +main() diff --git a/examples/tau-agent/tau/app.py b/examples/tau-agent/tau/app.py new file mode 100644 index 00000000..5e2ecb3e --- /dev/null +++ b/examples/tau-agent/tau/app.py @@ -0,0 +1,1350 @@ +"""tau — a coding-agent chat bot built on the `ai` library and Textual. + +Single-process Textual TUI. The user types a message, it gets appended +to a running conversation history, and the agent streams its reply into +a new assistant bubble. + +Sessions are persisted to ``.tau/sessions/`` as JSONL files and can be +resumed: + + python -m tau # new session + python -m tau --resume # resume most recent session + python -m tau --session ID # resume a specific session + python -m tau --list # list saved sessions +""" + +from __future__ import annotations + +import argparse +import asyncio +import dataclasses +import json +import os +import pathlib +import sys +from typing import Any + +import ai +import ai.types.usage +import pydantic +import rich.console +import rich.markdown +import rich.text +import textual +import textual.app +import textual.binding +import textual.containers +import textual.events +import textual.message +import textual.widgets +import textual.worker + +from tau import session, tools + +_raw_model = os.environ.get("TAU_MODEL", "gateway:anthropic/claude-opus-4.8") +MODEL_ID = _raw_model if ":" in _raw_model else f"gateway:{_raw_model}" + +EFFORT = os.environ.get("TAU_EFFORT", "high") + + +def _provider_slug(model_id: str) -> str: + """Extract the backend provider slug from a model id. + + "gateway:anthropic/claude-opus-4.8" -> "anthropic", + "anthropic:claude-..." -> "anthropic", + "openai/gpt-..." -> "openai". + """ + mid = model_id.lower() + if mid.startswith("gateway:"): + mid = mid[len("gateway:") :] + return mid.split("/")[0].split(":")[0] + + +OUTPUT_PARAMS = dict( + anthropic=ai.OutputParams(reasoning_summary="summarized"), + openai=ai.OutputParams(reasoning_summary="detailed"), +) +# For providers with server side tools that we use, we want to route +# them only to their actual provider, since the fallbacks don't +# support the tools. +ROUTING_PARAMS = { + k: ai.RoutingParams(provider_allowlist=frozenset({k})) + for k in {"anthropic", "openai"} +} + +PROVIDER = _provider_slug(MODEL_ID) +PARAMS = ai.InferenceRequestParams( + cache=ai.CacheParams(mode="auto"), + reasoning=ai.ReasoningParams(effort=EFFORT), + output=OUTPUT_PARAMS.get(PROVIDER), + routing=ROUTING_PARAMS.get(PROVIDER), +) + + +def _provider_tools(model_id: str) -> list[Any]: + """Return provider-executed tools for the model's backend. + + Anthropic and OpenAI both offer server-side web search. + The gateway passes through provider-specific tools, so we + pick the right one based on the underlying provider. + """ + provider = _provider_slug(model_id) + + if provider == "anthropic": + from ai.providers.anthropic import tools as ant + + return [ant.web_search()] + if provider in ("openai", "xai"): + from ai.providers.openai import tools as oai + + return [oai.web_search()] + return [] + + +_ADVERTISE = os.environ.get("TAU_ADVERTISE", "") == "1" + +_BASE_SYSTEM_PROMPT = ( + """\ +You are tau, a focused coding assistant running inside a terminal TUI. +Keep replies concise and use code blocks when showing code. + +You have access to the read, write, edit, bash, grep, find, and ls +tools. Mutating tools (write, edit, bash) require operator approval. +""" + + ( + "You also have a web_search tool for current information.\n" + if _provider_tools(MODEL_ID) + else "" + ) + + ( + f""" +When writing or suggesting commit messages, always include a trailer line: + + Co-authored-by: {_raw_model}, via tau +""" + if _ADVERTISE + else "" + ) +) + + +def _find_agents_md() -> str | None: + """Walk up from cwd looking for AGENTS.md; return its contents or None.""" + cur = pathlib.Path.cwd().resolve() + for directory in (cur, *cur.parents): + path = directory / "AGENTS.md" + if path.is_file(): + try: + return path.read_text(encoding="utf-8") + except OSError: + return None + return None + + +def _build_system_prompt() -> str: + prompt = _BASE_SYSTEM_PROMPT + agents_md = _find_agents_md() + if agents_md: + prompt += ( + "\nThe following project-level instructions were loaded from " + "AGENTS.md and should be followed:\n\n" + f"{agents_md}\n" + ) + return prompt + + +SYSTEM_PROMPT = _build_system_prompt() + +# How many characters of a tool result to show inline; the full result +# still goes to the model. +RESULT_PREVIEW_CHARS = 400 + + +# --------------------------------------------------------------------------- +# Session manager +# --------------------------------------------------------------------------- + + +class SessionManager: + """Owns the message list, session file, and usage bookkeeping. + + Pure data — no UI. The app reads ``.messages``, ``.session_id``, + ``.total_usage``, and ``.last_usage`` to drive the display. + """ + + def __init__(self, system_prompt: str) -> None: + self.messages: list[ai.messages.Message] = [ + ai.system_message(system_prompt) + ] + self.session_id: str = "" + self.total_usage: ai.types.usage.Usage = ai.types.usage.Usage() + self.last_usage: ai.types.usage.Usage | None = None + self._session_path: pathlib.Path | None = None + self._saved_count: int = 0 # messages already written to disk + + # -- lifecycle --------------------------------------------------------- + + def start(self, model_id: str) -> None: + """Create a new session file and persist the system message.""" + self.session_id = session.new_session_id() + self._session_path = session.create_session(self.session_id, model_id) + self._saved_count = session.append_messages( + self._session_path, self.messages, after=0 + ) + + def restore(self, path: pathlib.Path) -> dict[str, Any]: + """Load an existing session from *path*. + + Returns the metadata dict. Populates ``.messages`` and + ``.session_id``; call ``refresh_usage()`` afterwards. + """ + meta, messages = session.load_messages(path) + self.session_id = meta.get("session_id", path.stem) + self._session_path = path + if messages: + self.messages = messages + self._saved_count = len(self.messages) # already on disk + return meta + + # -- persistence ------------------------------------------------------- + + def save(self) -> None: + """Append any new messages to the session JSONL file.""" + if self._session_path is None: + return + self._saved_count = session.append_messages( + self._session_path, self.messages, after=self._saved_count + ) + + # -- usage ------------------------------------------------------------- + + def refresh_usage(self) -> None: + """Re-derive cumulative usage from all messages.""" + total = ai.types.usage.Usage() + last: ai.types.usage.Usage | None = None + for msg in self.messages: + if msg.usage is not None: + total = total + msg.usage + last = msg.usage + self.total_usage = total + self.last_usage = last + + +# --------------------------------------------------------------------------- +# Agent loop +# --------------------------------------------------------------------------- + + +def _replay_session(app: TauApp) -> None: + """Replay persisted messages into the transcript after a restore.""" + for msg in app.session.messages: + if msg.role == "system": + continue + if msg.role == "user": + app.transcript.add_bubble("user", msg.text) + elif msg.role == "assistant": + for part in msg.parts: + if isinstance(part, ai.messages.ReasoningPart): + app.transcript.add_bubble("thinking", part.text) + elif isinstance(part, ai.messages.TextPart): + app.transcript.add_bubble("assistant", part.text) + elif isinstance(part, ai.messages.ToolCallPart): + app.transcript.add_bubble( + "tool", + _format_tool_call(part.tool_name, part.tool_args), + ) + elif msg.role == "tool": + for part in msg.parts: + if isinstance(part, ai.messages.ToolResultPart): + diff = ( + _format_edit_diff_from_result(part.result) + if part.tool_name == "edit" + else None + ) + if diff is not None: + app.transcript.add_bubble( + "tool-result", + renderable=diff, + ) + result = part.result + if part.tool_name == "edit" and isinstance(result, dict): + result = result.get("message", result) + app.show_tool_result(result, part.is_error) + app.show_system( + f"resumed session {app.session.session_id} " + f"({len(app.session.messages) - 1} messages) — model: {MODEL_ID}", + ) + + +async def chat_loop(app: TauApp) -> None: + """Drain the pending queue, running one agent turn per queued message. + + Reads from ``app.pending`` and ``app.session.messages``; dispatches + streamed events to app methods for rendering. All interaction with + the ``ai`` library lives here. + """ + while app.pending: + # Reset bubble state so each turn gets fresh bubbles — otherwise + # a queued message's response appends into the previous turn's + # assistant bubble. + app._reset_turn_bubbles() + # Pop one queued message into history per turn so the model sees + # a clean user → assistant → user → … sequence. + app.session.messages.append(ai.user_message(app.pending.pop(0))) + app.session.save() + try: + await _run_turn(app) + except asyncio.CancelledError: + app.show_system("interrupted") + raise + except Exception as exc: # noqa: BLE001 — surface in the UI + app.show_system(f"error: {_flatten_error(exc)}") + + +async def _run_turn(app: TauApp) -> None: + """Execute a single agent turn, dispatching events to the app.""" + interrupted = False + async with app.agent.run( + app.model, app.session.messages, params=PARAMS + ) as stream: + try: + async for event in stream: + if isinstance(event, ai.events.ReasoningDelta): + app.append_thinking(event.chunk) + elif isinstance(event, ai.events.TextDelta): + app.append_text(event.chunk) + elif isinstance(event, ai.events.ToolEnd): + tc = event.tool_call + app.show_tool_call( + tc.tool_name, + tc.tool_args, + event.tool_call_id, + ) + elif isinstance(event, ai.events.PartialToolCallResult): + if ( + event.tool_call_id is not None + and event.tool_name != "edit" + ): + app.append_tool_result( + event.tool_call_id, str(event.value) + ) + elif isinstance(event, ai.events.ToolCallResult): + for part in event.results: + # Skip if we already streamed this result. + if part.tool_call_id not in app._tool_result_bubbles: + result = part.result + if isinstance(result, tools.EditResult): + result = result.message + app.show_tool_result(result, part.is_error) + # -- provider-executed (builtin) tools -- + elif isinstance(event, ai.events.BuiltinToolEnd): + btc = event.tool_call + app.show_tool_call(btc.tool_name, btc.tool_args) + elif isinstance(event, ai.events.BuiltinToolResult): + app.show_tool_result( + event.result.result, + event.result.is_error, + ) + elif isinstance(event, ai.events.HookEvent): + app.on_hook_event(Hook.from_event(event.hook)) + except asyncio.CancelledError: + interrupted = True + # Persist whatever the agent added (assistant + tool turns) + # so the next turn sees the full history. On interruption we + # still save the partial state so context isn't lost. + app.session.messages = list(stream.messages) + app.session.save() + app.session.refresh_usage() + app._update_usage_display() + if interrupted: + raise asyncio.CancelledError + + +def _flatten_error(exc: BaseException) -> str: + """Unwrap ExceptionGroups and chained exceptions into a readable string.""" + if isinstance(exc, ExceptionGroup): + parts = [_flatten_error(e) for e in exc.exceptions] + return "; ".join(parts) + msg = str(exc) + if exc.__cause__ is not None: + msg += f" (caused by {_flatten_error(exc.__cause__)})" + return f"{type(exc).__name__}: {msg}" if msg else type(exc).__name__ + + +def _format_tool_call(name: str, raw_args: str) -> str: + try: + args = json.loads(raw_args) if raw_args else {} + except json.JSONDecodeError: + return f"→ {name}({raw_args})" + rendered = ", ".join(f"{k}={_short_value(v)}" for k, v in args.items()) + return f"→ {name}({rendered})" + + +def _short_value(v: Any) -> str: + if isinstance(v, str): + s = repr(v) + else: + try: + s = json.dumps(v, ensure_ascii=False) + except TypeError: + s = repr(v) + if len(s) > 80: + s = s[:77] + "…" + return s + + +def _json_default(obj: Any) -> Any: + """json.dumps fallback: serialize pydantic models via model_dump.""" + if hasattr(obj, "model_dump"): + return obj.model_dump(mode="json") + raise TypeError( + f"Object of type {type(obj).__name__} is not JSON serializable" + ) + + +def _content_to_text(output: ai.messages.ContentOutput) -> str: + """Render a multipart ``ContentOutput`` for the transcript. + + Only the text parts are shown; file parts (e.g. images from + ``read``) carry base-64 blobs we don't want in the bubble, and the + tool already includes a human-readable label as a text part. + """ + return "\n".join( + part.text + for part in output.value + if isinstance(part, ai.messages.TextPart) + ) + + +def _format_tool_result(result: Any, is_error: bool) -> str: + if isinstance(result, ai.messages.ContentOutput): + text = _content_to_text(result) + elif isinstance(result, str): + text = result + else: + text = json.dumps(result, ensure_ascii=False, default=_json_default) + if len(text) > RESULT_PREVIEW_CHARS: + text = ( + text[:RESULT_PREVIEW_CHARS] + + f"… [+{len(text) - RESULT_PREVIEW_CHARS} chars]" + ) + marker = "✗" if is_error else "←" + indented = "\n ".join(text.splitlines() or [""]) + return f"{marker}\n {indented}" + + +_DIFF_CTX = 2 # context lines above/below each changed line +_DIFF_ADD = "color(108)" # green foreground +_DIFF_DEL = "color(168)" # red/pink foreground + + +def _render_diff( + filepath: str, + old_content: str, + new_content: str, +) -> rich.text.Text | None: + """Render a pi-style diff between old and new file content. + + Uses ``difflib.SequenceMatcher`` on lines to collapse unchanged + regions. Returns *None* if the contents are identical. + """ + import difflib + + old_lines = old_content.splitlines() + new_lines = new_content.splitlines() + gutter_w = len(str(max(len(old_lines), len(new_lines)) + 1)) + 1 + + sm = difflib.SequenceMatcher( + None, + old_lines, + new_lines, + autojunk=False, + ) + + out = rich.text.Text() + out.append("edit ", style="bold") + out.append(f"{filepath}\n\n") + + opcodes = sm.get_opcodes() + for oi, (op, i1, i2, j1, j2) in enumerate(opcodes): + if op == "equal": + head_end = i2 + if oi > 0: + head_end = min(i1 + _DIFF_CTX, i2) + for k in range(i1, head_end): + _diff_ctx(out, gutter_w, k + 1, old_lines[k]) + if oi < len(opcodes) - 1: + tail_start = max(i2 - _DIFF_CTX, i1) + tail_start = max(tail_start, head_end) + if tail_start > head_end: + out.append(" ...\n", style="dim") + for k in range(tail_start, i2): + _diff_ctx(out, gutter_w, k + 1, old_lines[k]) + else: + if op in ("replace", "delete"): + for k in range(i1, i2): + _diff_line(out, gutter_w, "-", k + 1, old_lines[k]) + if op in ("replace", "insert"): + for k in range(j1, j2): + _diff_line(out, gutter_w, "+", k + 1, new_lines[k]) + + if out.plain.endswith("\n"): + out.right_crop(1) + return out or None + + +def _format_edit_diff_from_args( + filepath: str, + edits: list[dict[str, str]], +) -> rich.text.Text | None: + """Render an edit diff at ToolEnd time by reading the file from disk.""" + try: + old_content = pathlib.Path(filepath).read_text(encoding="utf-8") + except OSError: + return None + try: + text_edits = [tools.TextEdit.model_validate(e) for e in edits] + except pydantic.ValidationError: + return None + try: + new_content = tools.edit_string(old_content, text_edits, filepath) + except (ValueError, KeyError): + return None + return _render_diff(filepath, old_content, new_content) + + +def _format_edit_diff_from_result( + result: Any, +) -> rich.text.Text | None: + """Render an edit diff from a persisted EditResult.""" + if not isinstance(result, dict): + return None + try: + er = tools.EditResult.model_validate(result) + except (pydantic.ValidationError, Exception): + return None + # Infer filepath from the message. + msg = er.message + prefix = " in " + idx = msg.rfind(prefix) + if idx < 0: + return None + filepath = msg[idx + len(prefix) :].rstrip(".") + return _render_diff(filepath, er.old_content, er.new_content) + + +def _diff_ctx( + out: rich.text.Text, + gw: int, + ln: int, + text: str, +) -> None: + out.append(f" {ln:>{gw}} {text}\n", style="dim") + + +def _diff_line( + out: rich.text.Text, + gw: int, + prefix: str, + ln: int, + text: str, +) -> None: + style = _DIFF_ADD if prefix == "+" else _DIFF_DEL + out.append(f"{prefix} {ln:>{gw}} {text}\n", style=style) + + +# --------------------------------------------------------------------------- +# Hook — thin wrapper so UI code never touches ai.messages.HookPart +# --------------------------------------------------------------------------- + + +@dataclasses.dataclass +class Hook: + """UI-facing snapshot of a tool-approval hook.""" + + hook_id: str + tool: str + kwargs: dict[str, Any] + status: str + + @classmethod + def from_event(cls, part: ai.messages.HookPart[Any]) -> Hook: + return cls( + hook_id=part.hook_id, + tool=part.metadata.get("tool", "?"), + kwargs=part.metadata.get("kwargs", {}) or {}, + status=part.status, + ) + + +@dataclasses.dataclass +class PromptOption: + """One option in an approval prompt.""" + + key: str # keyboard shortcut + decision: str # value passed to ApprovalTracker.resolve + label: str # display text + + +# --------------------------------------------------------------------------- +# Approval tracking +# --------------------------------------------------------------------------- + +# Tools grouped by category for approval purposes. +_READ_TOOLS = frozenset({"read", "grep", "find", "ls"}) +_WRITE_TOOLS = frozenset({"write", "edit"}) +_FILE_TOOLS = _READ_TOOLS | _WRITE_TOOLS + + +def _tool_path(hook: Hook) -> pathlib.Path | None: + """Extract and resolve the path argument from a file-tool hook.""" + raw = hook.kwargs.get("path") + if raw is None: + return None + return pathlib.Path(raw).expanduser().resolve() + + +class ApprovalTracker: + """Session-scoped approval state for tool hooks. + + Tracks "always approve" decisions so subsequent identical commands + (or all commands) can be auto-resolved without prompting. + + File I/O tools are auto-approved when the target path is under the + working directory. Paths outside cwd require a prompt; one of the + options is to permanently allow a directory for reads or writes. + """ + + def __init__(self) -> None: + self._cwd = pathlib.Path.cwd().resolve() + self._approve_all = False + self._approved_commands: set[str] = set() + # Extra directory trees approved per category. + self._approved_read_dirs: set[pathlib.Path] = set() + self._approved_write_dirs: set[pathlib.Path] = set() + + def _path_ok(self, tool: str, path: pathlib.Path | None) -> bool: + """Check if *path* is in an approved directory for *tool*.""" + if path is None: + # Tools like grep/find/ls default to cwd when path is None. + return True + # Always allow anything under cwd. + try: + path.relative_to(self._cwd) + return True + except ValueError: + pass + # Check extra approved dirs. + dirs = ( + self._approved_read_dirs + if tool in _READ_TOOLS + else self._approved_write_dirs + ) + return any(path == d or d in path.parents for d in dirs) + + def check(self, hook: Hook) -> bool | list[PromptOption]: + """Auto-resolve or return prompt options. + + Returns ``True``/``False`` to auto-approve/deny, or a list of + :class:`PromptOption` when the operator needs to decide. + """ + if self._approve_all: + return True + if hook.tool in _FILE_TOOLS: + if self._path_ok(hook.tool, _tool_path(hook)): + return True + return [ + PromptOption("y", "yes", "yes"), + PromptOption("n", "no", "no"), + PromptOption("d", "allow_dir", "allow dir"), + PromptOption("a", "always_all", "always all"), + ] + if hook.tool == "bash": + cmd = hook.kwargs.get("command", "") + if cmd in self._approved_commands: + return True + return [ + PromptOption("y", "yes", "yes"), + PromptOption("n", "no", "no"), + PromptOption("!", "always_this", "always this"), + PromptOption("a", "always_all", "always all"), + ] + + def resolve(self, hook: Hook, decision: str) -> bool: + """Resolve a hook: update approval state, signal the library. + + *decision* is one of ``'yes'``, ``'no'``, ``'always_this'``, + ``'allow_dir'``, ``'always_all'``. Returns whether the hook + was granted. + """ + # Remember lasting decisions. + if decision == "always_this": + cmd = hook.kwargs.get("command", "") + if cmd: + self._approved_commands.add(cmd) + elif decision == "allow_dir": + path = _tool_path(hook) + if path is not None: + directory = path if path.is_dir() else path.parent + if hook.tool in _READ_TOOLS: + self._approved_read_dirs.add(directory) + elif hook.tool in _WRITE_TOOLS: + self._approved_write_dirs.add(directory) + elif decision == "always_all": + self._approve_all = True + + granted = decision != "no" + ai.resolve_hook( + hook.hook_id, + ai.tools.ToolApproval( + granted=granted, + reason="operator approved" if granted else "operator denied", + ), + ) + return granted + + +def _bell() -> None: + """Ring the terminal bell to notify the operator.""" + try: + with open("/dev/tty", "w") as tty: + tty.write("\a") + tty.flush() + except OSError: + pass + + +# --------------------------------------------------------------------------- +# Widgets +# --------------------------------------------------------------------------- + + +class Bubble(textual.widgets.Static): + """One message in the transcript. Role drives the styling.""" + + DEFAULT_CSS = """ + Bubble { + width: 1fr; + padding: 0 1; + margin: 0 0 1 0; + } + Bubble.user { + color: $text; + } + Bubble.assistant { + color: $accent; + } + Bubble.system { + color: $text-muted; + text-style: italic; + } + Bubble.tool { + color: $text-muted; + } + Bubble.tool-result { + color: $text-muted; + background: #262626; + margin: 0 0 1 0; + padding: 0 1; + } + Bubble.thinking { + color: $text-muted; + text-style: dim italic; + } + """ + + def __init__( + self, + role: str, + initial: str = "", + *, + renderable: rich.console.RenderableType | None = None, + ) -> None: + super().__init__() + self.add_class(role) + self._role = role + self._raw = "" + self._renderable = renderable + if renderable is not None: + self.update(renderable) + elif initial: + self.append(initial) + else: + self._redraw() + + def append(self, chunk: str) -> None: + self._raw += chunk + self._redraw() + + def _redraw(self) -> None: + if self._role == "assistant": + self.update(rich.markdown.Markdown(self._raw)) + else: + self.update(rich.text.Text(self._raw)) + + +class Transcript(textual.containers.VerticalScroll): + """Scrolling list of bubbles.""" + + DEFAULT_CSS = """ + Transcript { + height: 1fr; + padding: 1 2 0 2; + scrollbar-size: 0 0; + } + """ + + def add_bubble( + self, + role: str, + text: str = "", + *, + renderable: rich.console.RenderableType | None = None, + ) -> Bubble: + bubble = Bubble(role, text, renderable=renderable) + self.mount(bubble) + return bubble + + +class Composer(textual.widgets.TextArea): + """Multi-line input that grows with its content. + + Enter submits. Newline shortcuts: + + - Ctrl+J (all terminals) + - Trailing backslash before Enter (all terminals) + - Shift/Alt+Enter (Kitty keyboard protocol) + + Height tracks the wrapped line count between + ``MIN_LINES`` and ``MAX_LINES``. + """ + + MIN_LINES = 1 + MAX_LINES = 10 + + class Submitted(textual.message.Message): + def __init__(self, value: str) -> None: + super().__init__() + self.value = value + + def __init__(self, *, placeholder: str = "", id: str | None = None) -> None: + super().__init__( + id=id, + placeholder=placeholder, + soft_wrap=True, + show_line_numbers=False, + # No compact=True: compact mode sets `border: none !important` + # which would override the rounded border we draw below. + ) + + def on_mount(self) -> None: + self.refresh_height() + + def _insert_newline(self) -> None: + """Insert a newline and grow the composer.""" + self.insert("\n") + self.refresh_height() + + async def _on_key(self, event: textual.events.Key) -> None: + # Newline shortcuts: + # - Ctrl+J (LF — works on all terminals) + # - Shift/Alt+Enter (Kitty keyboard protocol) + if event.key in ( + "ctrl+j", + "shift+enter", + "alt+enter", + ): + event.stop() + event.prevent_default() + self._insert_newline() + return + # Plain Enter submits — unless the line ends with \ + # (backslash continuation), in which case strip it and + # insert a newline instead. + if event.key == "enter": + event.stop() + event.prevent_default() + if self.text.endswith("\\"): + # Delete the backslash (cursor is at end) + # then insert a newline in its place. + self.action_delete_left() + self._insert_newline() + return + value = self.text + self.text = "" + self.refresh_height() + self.post_message(self.Submitted(value)) + + def refresh_height(self) -> None: + # ``wrapped_document.height`` is the visual line count after soft + # wrapping. Clamp it so the composer never collapses to 0 lines + # or eats the whole screen. +2 accounts for the top+bottom of + # the rounded border (box-sizing is border-box by default). + n = max( + self.MIN_LINES, min(self.MAX_LINES, self.wrapped_document.height) + ) + self.styles.height = n + 2 + + +class HookPrompt(textual.widgets.Static): + """Approval prompt for a pending tool-approval hook. + + Mounts above the composer when a hook fires. Focusable; single-key + shortcuts resolve it. The available options depend on the tool: + + **bash**: ``[y]`` yes ``[n]`` no ``[!]`` always this ``[a]`` all + **file I/O**: ``[y]`` yes ``[n]`` no ``[d]`` allow dir ``[a]`` all + + Tab/shift-tab cycles focus back to the composer if the user wants + to look something up before deciding — the hook stays pending and + the agent stays blocked. + """ + + DEFAULT_CSS = """ + HookPrompt { + height: auto; + padding: 0 1; + border: round $warning; + margin-bottom: 1; + } + HookPrompt:focus { + border: round $warning; + } + """ + + can_focus = True + + class Decided(textual.message.Message): + def __init__(self, hook_id: str, decision: str) -> None: + super().__init__() + self.hook_id = hook_id + self.decision = decision + + def __init__(self, hook: Hook, options: list[PromptOption]) -> None: + super().__init__() + self._hook_id = hook.hook_id + self._options = {opt.key: opt.decision for opt in options} + + body = rich.text.Text() + body.append("approve ", style="bold yellow") + body.append(hook.tool, style="bold") + body.append("?\n") + body.append(" " + _format_kwargs(hook.kwargs), style="dim") + body.append("\n ") + for i, opt in enumerate(options): + style = ( + "bold green" + if opt.decision == "yes" + else "bold red" + if opt.decision == "no" + else "bold cyan" + ) + if i > 0: + body.append(" ") + body.append(f"[{opt.key}]", style=style) + body.append(f" {opt.label}") + self.update(body) + + async def _on_key(self, event: textual.events.Key) -> None: + decision = self._options.get(event.character or "") + if decision is not None: + event.stop() + event.prevent_default() + self.post_message(self.Decided(self._hook_id, decision)) + + +def _format_kwargs(kwargs: dict[str, Any]) -> str: + return ", ".join(f"{k}={_short_value(v)}" for k, v in kwargs.items()) or "—" + + +# --------------------------------------------------------------------------- +# App +# --------------------------------------------------------------------------- + + +class TauApp(textual.app.App[None]): + CSS = """ + Screen { + layout: vertical; + } + #composer-dock { + dock: bottom; + height: auto; + layout: vertical; + /* dock: bottom ignores horizontal margins, so the inset lives here */ + padding: 0 1 1 1; + } + #composer { + height: 3; /* refresh_height() resizes */ + max-height: 12; /* MAX_LINES (10) + 2 for the border */ + padding: 0 1; /* breathing room left/right of the cursor */ + border: round $surface-lighten-2; + } + #usage-bar { + height: 1; + padding: 0 1; + color: $text-muted; + } + """ + + BINDINGS = [ + textual.binding.Binding("ctrl+c", "quit", "quit", priority=True), + textual.binding.Binding( + "escape", "interrupt", "interrupt", priority=True + ), + ] + + TITLE = "tau" + theme = "ansi-dark" + + # State read by ``chat_loop``. Public on purpose — the agent + # function is meant to be readable next to the app. + model: ai.Model + agent: ai.Agent + session: SessionManager + pending: list[str] + + def __init__( + self, + *, + resume_path: pathlib.Path | None = None, + ) -> None: + super().__init__() + self.model = ai.get_model(MODEL_ID) + self.agent = ai.agent( + tools=[*tools.TOOLS, *_provider_tools(MODEL_ID)], + ) + self.session = SessionManager(SYSTEM_PROMPT) + # User messages typed while a turn is streaming. Drained one at + # a time at the end of each turn so user/assistant alternation + # stays clean. + self.pending: list[str] = [] + self._busy = False + # Approval hooks waiting for operator y/n. FIFO queue: only the + # head hook is "active" — ``_active_hook`` mirrors it for fast + # access from the composer. + self._hook_queue: list[tuple[Hook, list[PromptOption]]] = [] + self._active_hook: Hook | None = None + self._approval = ApprovalTracker() + self._turn_worker: textual.worker.Worker[None] | None = None + self._resume_path = resume_path + + def compose(self) -> textual.app.ComposeResult: + yield Transcript(id="transcript") + with textual.containers.Container(id="composer-dock"): + # Hook prompts get mounted here via ``before=#composer``. + yield Composer(placeholder="message tau…", id="composer") + yield textual.widgets.Static("", id="usage-bar") + + def on_mount(self) -> None: + if self._resume_path is not None: + self._restore_session(self._resume_path) + else: + self._start_new_session() + self.transcript.anchor() + self.query_one("#composer", Composer).focus() + + # ------------------------------------------------------------------ + # Session persistence + # ------------------------------------------------------------------ + + def _start_new_session(self) -> None: + self.session.start(MODEL_ID) + self.show_system( + f"connected — model: {MODEL_ID} session: {self.session.session_id}" + ) + + def _restore_session(self, path: pathlib.Path) -> None: + self.session.restore(path) + # Replace the persisted system message with the current + # one so it reflects the latest tools and AGENTS.md. + if self.session.messages and self.session.messages[0].role == "system": + self.session.messages[0] = ai.system_message(SYSTEM_PROMPT) + _replay_session(self) + self.session.refresh_usage() + self._update_usage_display() + + def _update_usage_display(self) -> None: + """Show cumulative token usage in the footer bar.""" + u = self.session.total_usage + if u.total_tokens == 0: + return + parts: list[str] = [] + # Approximate current context size: last turn's in + out. + if self.session.last_usage is not None: + ctx = ( + self.session.last_usage.input_tokens + + self.session.last_usage.output_tokens + ) + parts.append(f"ctx: ~{ctx:,}") + # input_tokens includes cache-read; subtract to show uncached. + uncached_in = u.input_tokens - (u.cache_read_tokens or 0) + parts.append(f"in: {uncached_in:,}") + if u.cache_read_tokens: + parts.append(f"cached: {u.cache_read_tokens:,}") + parts.append(f"out: {u.output_tokens:,}") + self.query_one("#usage-bar", textual.widgets.Static).update( + " ".join(parts) + ) + + @property + def transcript(self) -> Transcript: + return self.query_one("#transcript", Transcript) + + # ------------------------------------------------------------------ + # Rendering — called by the agent loop + # ------------------------------------------------------------------ + + # Per-turn bubble state. Reset at the start of each turn via + # ``run_turn``; the agent loop calls the methods below which + # lazily create bubbles as needed. + _text_bubble: Bubble | None = None + _thinking_bubble: Bubble | None = None + _tool_result_bubbles: dict[str, Bubble] = {} + + def _reset_turn_bubbles(self) -> None: + self._text_bubble = None + self._thinking_bubble = None + self._tool_result_bubbles = {} + + def append_thinking(self, chunk: str) -> None: + """Append a reasoning/thinking chunk (lazily creates the bubble).""" + if self._thinking_bubble is None: + self._thinking_bubble = self.transcript.add_bubble("thinking") + self._thinking_bubble.append(chunk) + + def append_text(self, chunk: str) -> None: + """Append an assistant text chunk (lazily creates the bubble).""" + if self._text_bubble is None: + self._text_bubble = self.transcript.add_bubble("assistant") + self._text_bubble.append(chunk) + + def show_tool_call( + self, name: str, args: str, tool_call_id: str = "" + ) -> None: + """Show a completed tool invocation line.""" + rendered = False + if name == "edit": + rendered = self._show_edit_diff(args) + if not rendered: + self.transcript.add_bubble("tool", _format_tool_call(name, args)) + # Next text from the model should start a fresh bubble so + # tool output and prose stay visually separated. + self._text_bubble = None + + def _show_edit_diff(self, args: str) -> bool: + """Try to render an edit call as a diff. Returns True on success.""" + try: + parsed = json.loads(args) if args else {} + except (json.JSONDecodeError, AttributeError): + return False + filepath = parsed.get("path", "") + edits = parsed.get("edits", []) + if not filepath or not edits: + return False + diff = _format_edit_diff_from_args(filepath, edits) + if diff is None: + return False + self.transcript.add_bubble("tool-result", renderable=diff) + return True + + def append_tool_result(self, tool_call_id: str, chunk: str) -> None: + """Append a streaming chunk to a tool-result bubble.""" + bubble = self._tool_result_bubbles.get(tool_call_id) + if bubble is None: + bubble = self.transcript.add_bubble("tool-result") + self._tool_result_bubbles[tool_call_id] = bubble + bubble.append(chunk) + + def show_tool_result(self, result: Any, is_error: bool) -> None: + """Show the (possibly truncated) result of a tool call.""" + self.transcript.add_bubble( + "tool-result", _format_tool_result(result, is_error) + ) + + def show_system(self, text: str) -> None: + """Show a system/status message.""" + self.transcript.add_bubble("system", text) + + # ------------------------------------------------------------------ + # Input → turn + # ------------------------------------------------------------------ + + def on_text_area_changed( + self, event: textual.widgets.TextArea.Changed + ) -> None: + # Grow/shrink the composer as the user types or wraps. + if isinstance(event.text_area, Composer): + event.text_area.refresh_height() + + async def on_composer_submitted(self, event: Composer.Submitted) -> None: + text = event.value.strip() + if not text: + return + + self.transcript.add_bubble("user", text) + # All submissions enter the queue; ``run_turn`` is the sole + # consumer. The user bubble shows up immediately so the message + # feels sent even when it won't reach the model until the + # current turn finishes. + self.pending.append(text) + + if not self._busy: + self._set_busy(True) + self.run_turn() + + @textual.work(exclusive=True, group="turn") + async def run_turn(self) -> None: + self._turn_worker = textual.worker.get_current_worker() + self._reset_turn_bubbles() + try: + await chat_loop(self) + finally: + self._turn_worker = None + self._set_busy(False) + + def action_interrupt(self) -> None: + """Cancel the running turn on ESC.""" + if self._turn_worker is not None: + self._turn_worker.cancel() + # Dismiss any pending approval prompt and clear the queue. + self._hook_queue.clear() + self._dismiss_active_prompt() + + # ------------------------------------------------------------------ + # Hook plumbing + # ------------------------------------------------------------------ + + def _resolve_hook(self, hook: Hook, decision: str) -> None: + """Resolve a hook and show a transcript note.""" + granted = self._approval.resolve(hook, decision) + self.show_system(f"{'approved' if granted else 'denied'}: {hook.tool}") + + def on_hook_event(self, hook: Hook) -> None: + if hook.status == "pending": + result = self._approval.check(hook) + if isinstance(result, bool): + self._resolve_hook(hook, "yes" if result else "no") + return + self._hook_queue.append((hook, result)) + self._activate_next_hook() + elif hook.status in ("resolved", "cancelled"): + # Drop from queue if it was sitting there waiting. + self._hook_queue = [ + (h, opts) + for h, opts in self._hook_queue + if h.hook_id != hook.hook_id + ] + if self._active_hook and self._active_hook.hook_id == hook.hook_id: + self._dismiss_active_prompt() + self._activate_next_hook() + + def _activate_next_hook(self) -> None: + if self._active_hook is not None or not self._hook_queue: + return + hook, options = self._hook_queue.pop(0) + self._active_hook = hook + prompt = HookPrompt(hook, options) + dock = self.query_one("#composer-dock", textual.containers.Container) + composer = self.query_one("#composer", Composer) + dock.mount(prompt, before=composer) + prompt.focus() + _bell() + + def _dismiss_active_prompt(self) -> None: + for prompt in self.query(HookPrompt).results(): + prompt.remove() + self._active_hook = None + self.query_one("#composer", Composer).focus() + + async def on_hook_prompt_decided(self, event: HookPrompt.Decided) -> None: + hook = self._active_hook + if hook is None or hook.hook_id != event.hook_id: + return + self._resolve_hook(hook, event.decision) + self._dismiss_active_prompt() + self._activate_next_hook() + + def _set_busy(self, busy: bool) -> None: + self._busy = busy + if not busy: + _bell() + # Composer stays enabled while busy — the user can keep typing + # and queue the next message. Only the placeholder changes. + inp = self.query_one("#composer", Composer) + inp.placeholder = ( + "tau is thinking… (type to queue your next message)" + if busy + else "message tau…" + ) + + +def _parse_args() -> argparse.Namespace: + parser = argparse.ArgumentParser( + prog="tau", + description="tau — a coding-agent TUI", + ) + group = parser.add_mutually_exclusive_group() + group.add_argument( + "--resume", + "-r", + action="store_true", + default=False, + help="Resume the most recent session.", + ) + group.add_argument( + "--session", + "-s", + metavar="ID", + default=None, + help="Resume a specific session by ID (or unique prefix).", + ) + group.add_argument( + "--list", + "-l", + action="store_true", + default=False, + help="List saved sessions and exit.", + ) + return parser.parse_args() + + +def _print_sessions() -> None: + sessions = session.list_sessions() + if not sessions: + print("No saved sessions.") + return + print(f"{'SESSION ID':<20} {'MODEL':<35} {'CWD'}") + print("─" * 80) + for s in sessions: + sid = s.get("session_id", "?") + model = s.get("model", "?") + cwd = s.get("cwd", "?") + print(f"{sid:<20} {model:<35} {cwd}") + + +def main() -> None: + args = _parse_args() + + if args.list: + _print_sessions() + sys.exit(0) + + resume_path: pathlib.Path | None = None + + if args.resume: + resume_path = session.resolve_session(None) + if resume_path is None: + print("No sessions to resume.", file=sys.stderr) + sys.exit(1) + elif args.session: + resume_path = session.resolve_session(args.session) + if resume_path is None: + print(f"Session not found: {args.session}", file=sys.stderr) + sys.exit(1) + + TauApp(resume_path=resume_path).run() + + +if __name__ == "__main__": + main() diff --git a/examples/tau-agent/tau/session.py b/examples/tau-agent/tau/session.py new file mode 100644 index 00000000..321304c4 --- /dev/null +++ b/examples/tau-agent/tau/session.py @@ -0,0 +1,183 @@ +"""Session history — persist and resume conversations. + +Sessions are stored as JSONL files under ``.tau/sessions/``. Each line +is a JSON-serialised ``ai.messages.Message``. The first line is always +a metadata object (not a Message) carrying session-level info: + + {"meta": true, "session_id": "...", "model": "...", + "cwd": "...", "created": "..."} + +Usage: + # New session (default) + uv run python tau.py + + # Resume the most recent session + uv run python tau.py --resume + + # Resume a specific session by ID (or prefix) + uv run python tau.py --session 20250101-120000 + + # List saved sessions + uv run python tau.py --list +""" + +from __future__ import annotations + +import json +import os +import pathlib +from datetime import UTC, datetime +from typing import Any + +import ai + +# --------------------------------------------------------------------------- +# Paths +# --------------------------------------------------------------------------- + +SESSIONS_DIR = pathlib.Path(".tau") / "sessions" + + +def _ensure_dir() -> None: + SESSIONS_DIR.mkdir(parents=True, exist_ok=True) + + +# --------------------------------------------------------------------------- +# Session ID +# --------------------------------------------------------------------------- + + +def new_session_id() -> str: + """Timestamp-based, human-readable session ID.""" + return datetime.now(UTC).strftime("%Y%m%d-%H%M%S") + + +# --------------------------------------------------------------------------- +# Metadata +# --------------------------------------------------------------------------- + + +def _meta_line(session_id: str, model: str) -> str: + return json.dumps( + { + "meta": True, + "session_id": session_id, + "model": model, + "cwd": os.getcwd(), + "created": datetime.now(UTC).isoformat(), + }, + ensure_ascii=False, + ) + + +def _read_meta(path: pathlib.Path) -> dict[str, Any] | None: + try: + with path.open("r", encoding="utf-8") as f: + first = f.readline().strip() + if first: + obj = json.loads(first) + if isinstance(obj, dict) and obj.get("meta"): + return obj + except (OSError, json.JSONDecodeError): + pass + return None + + +# --------------------------------------------------------------------------- +# Writing +# --------------------------------------------------------------------------- + + +def create_session(session_id: str, model: str) -> pathlib.Path: + """Create a new JSONL session file and write the metadata header.""" + _ensure_dir() + path = SESSIONS_DIR / f"{session_id}.jsonl" + with path.open("w", encoding="utf-8") as f: + f.write(_meta_line(session_id, model) + "\n") + return path + + +def append_messages( + path: pathlib.Path, + messages: list[ai.messages.Message], + *, + after: int = 0, +) -> int: + """Append new messages to the session file. + + ``after`` is the count of messages already written (excluding the + metadata line). Only messages from ``messages[after:]`` are + appended. Returns the new total written count. + """ + new = messages[after:] + if not new: + return after + with path.open("a", encoding="utf-8") as f: + for msg in new: + f.write(msg.model_dump_json() + "\n") + return after + len(new) + + +# --------------------------------------------------------------------------- +# Reading / resuming +# --------------------------------------------------------------------------- + + +def list_sessions() -> list[dict[str, Any]]: + """Return metadata dicts for all sessions, newest first.""" + _ensure_dir() + sessions: list[dict[str, Any]] = [] + for p in sorted(SESSIONS_DIR.glob("*.jsonl"), reverse=True): + meta = _read_meta(p) + if meta is not None: + meta["_path"] = str(p) + sessions.append(meta) + return sessions + + +def resolve_session(session_id: str | None) -> pathlib.Path | None: + """Find a session file. + + - ``None`` → most recent session + - exact match → that session + - prefix match → first match (newest first) + """ + _ensure_dir() + files = sorted(SESSIONS_DIR.glob("*.jsonl"), reverse=True) + if not files: + return None + if session_id is None: + return files[0] + # Exact + exact = SESSIONS_DIR / f"{session_id}.jsonl" + if exact.exists(): + return exact + # Prefix + for f in files: + if f.stem.startswith(session_id): + return f + return None + + +def load_messages( + path: pathlib.Path, +) -> tuple[dict[str, Any], list[ai.messages.Message]]: + """Load session metadata + messages from a JSONL file. + + Returns ``(meta_dict, messages_list)``. The system message is + included in the list (it's persisted like any other message). + """ + meta: dict[str, Any] = {} + messages: list[ai.messages.Message] = [] + with path.open("r", encoding="utf-8") as f: + for lineno, line in enumerate(f, 1): + line = line.strip() + if not line: + continue + if lineno == 1: + obj = json.loads(line) + if isinstance(obj, dict) and obj.get("meta"): + meta = obj + continue + messages.append(ai.messages.Message.model_validate_json(line)) + return meta, messages diff --git a/examples/tau-agent/tau/tools.py b/examples/tau-agent/tau/tools.py new file mode 100644 index 00000000..1c7e41dc --- /dev/null +++ b/examples/tau-agent/tau/tools.py @@ -0,0 +1,738 @@ +"""tau's coding tools — pi's seven built-ins, plain Python. + +Mirrors pi's tool surface (read, write, edit, bash, grep, find, ls) so +the model gets the same affordances. + +All tools use ``require_approval=True`` so the ``ai`` library fires a +hook for every invocation. The ``ApprovalTracker`` in ``tau.app`` +auto-approves safe cases (e.g. reads under cwd) without prompting the +operator; this is the only way to get hooks — the library doesn't +support per-invocation gating otherwise. + +No workspace jail — paths resolve against the process cwd and the +host (or the approval flow) is what keeps things in line. +""" + +from __future__ import annotations + +import asyncio +import dataclasses +import pathlib +import re +from collections.abc import AsyncGenerator +from typing import Annotated, Any, Literal + +import ai +import ai.agents +import ai.types.events +import pydantic + +# Image formats we support (subset that models typically accept). +_IMAGE_MIME_TYPES = frozenset( + { + "image/jpeg", + "image/png", + "image/gif", + "image/webp", + } +) + + +def _detect_image_mime(path: pathlib.Path) -> str | None: + """Read magic bytes and return a supported image MIME type, or None.""" + try: + header = path.read_bytes()[:32] + except OSError: + return None + mime = ai.types.media.detect_image_media_type(header) + return mime if mime in _IMAGE_MIME_TYPES else None + + +# --------------------------------------------------------------------------- +# Truncation — match pi's defaults +# --------------------------------------------------------------------------- + +DEFAULT_MAX_LINES = 2000 +DEFAULT_MAX_BYTES = 50 * 1024 # 50 KB +GREP_MAX_LINE_LENGTH = 500 + +# Directories grep/find skip by default. No .gitignore support — this +# is the cheap approximation. +EXCLUDE_DIRS = frozenset( + { + ".git", + ".hg", + ".svn", + ".venv", + "venv", + "node_modules", + "__pycache__", + "dist", + "build", + ".pytest_cache", + ".mypy_cache", + ".ruff_cache", + ".next", + ".turbo", + } +) + + +@dataclasses.dataclass +class TruncationResult: + content: str + truncated: bool + truncated_by: Literal["lines", "bytes"] | None + total_lines: int + output_lines: int + total_bytes: int + output_bytes: int + first_line_exceeds_limit: bool = False + + +def format_size(n: int) -> str: + if n < 1024: + return f"{n}B" + if n < 1024 * 1024: + return f"{n / 1024:.1f}KB" + return f"{n / (1024 * 1024):.1f}MB" + + +def truncate_head( + content: str, + *, + max_lines: int = DEFAULT_MAX_LINES, + max_bytes: int = DEFAULT_MAX_BYTES, +) -> TruncationResult: + """Keep complete lines from the start until a cap is hit.""" + total_bytes = len(content.encode("utf-8")) + lines = content.split("\n") + total_lines = len(lines) + + if total_lines <= max_lines and total_bytes <= max_bytes: + return TruncationResult( + content=content, + truncated=False, + truncated_by=None, + total_lines=total_lines, + output_lines=total_lines, + total_bytes=total_bytes, + output_bytes=total_bytes, + ) + + if len(lines[0].encode("utf-8")) > max_bytes: + return TruncationResult( + content="", + truncated=True, + truncated_by="bytes", + total_lines=total_lines, + output_lines=0, + total_bytes=total_bytes, + output_bytes=0, + first_line_exceeds_limit=True, + ) + + out_lines: list[str] = [] + out_bytes = 0 + truncated_by: Literal["lines", "bytes"] = "lines" + for i, line in enumerate(lines): + if i >= max_lines: + break + line_bytes = len(line.encode("utf-8")) + (1 if i > 0 else 0) + if out_bytes + line_bytes > max_bytes: + truncated_by = "bytes" + break + out_lines.append(line) + out_bytes += line_bytes + + if len(out_lines) >= max_lines and out_bytes <= max_bytes: + truncated_by = "lines" + + out = "\n".join(out_lines) + return TruncationResult( + content=out, + truncated=True, + truncated_by=truncated_by, + total_lines=total_lines, + output_lines=len(out_lines), + total_bytes=total_bytes, + output_bytes=len(out.encode("utf-8")), + ) + + +def truncate_tail( + content: str, + *, + max_lines: int = DEFAULT_MAX_LINES, + max_bytes: int = DEFAULT_MAX_BYTES, +) -> TruncationResult: + """Keep complete lines from the end until a cap is hit. + + Used for bash output — errors and final results sit at the bottom. + """ + total_bytes = len(content.encode("utf-8")) + lines = content.split("\n") + total_lines = len(lines) + + if total_lines <= max_lines and total_bytes <= max_bytes: + return TruncationResult( + content=content, + truncated=False, + truncated_by=None, + total_lines=total_lines, + output_lines=total_lines, + total_bytes=total_bytes, + output_bytes=total_bytes, + ) + + out_lines: list[str] = [] + out_bytes = 0 + truncated_by: Literal["lines", "bytes"] = "lines" + for line in reversed(lines): + if len(out_lines) >= max_lines: + break + line_bytes = len(line.encode("utf-8")) + (1 if out_lines else 0) + if out_bytes + line_bytes > max_bytes: + truncated_by = "bytes" + break + out_lines.append(line) + out_bytes += line_bytes + + if len(out_lines) >= max_lines and out_bytes <= max_bytes: + truncated_by = "lines" + + out_lines.reverse() + out = "\n".join(out_lines) + return TruncationResult( + content=out, + truncated=True, + truncated_by=truncated_by, + total_lines=total_lines, + output_lines=len(out_lines), + total_bytes=total_bytes, + output_bytes=len(out.encode("utf-8")), + ) + + +# --------------------------------------------------------------------------- +# read +# --------------------------------------------------------------------------- + + +@ai.tool(require_approval=True) +async def read( + path: str, + offset: int | None = None, + limit: int | None = None, +) -> Any: + """Read the contents of a file. + + Output is truncated to 2000 lines or 50KB (whichever is hit first). + Use offset/limit for large files; when truncated, the result ends + with a "Use offset=N to continue" hint. offset is 1-indexed. + + Supports image files (jpg, png, gif, webp) which are returned as + base64-encoded data via FilePart objects. + """ + p = pathlib.Path(path).expanduser() + if not p.exists(): + raise FileNotFoundError(f"No such file: {path}") + if not p.is_file(): + raise IsADirectoryError(f"Not a file: {path}") + + # Image files: return a ContentOutput carrying a text label + a + # FilePart so providers emit a real image content block instead of + # trying (and failing) to JSON-serialize the FilePart. + mime = _detect_image_mime(p) + if mime is not None: + data = p.read_bytes() + size_str = format_size(len(data)) + return ai.content_output( + f"Read image file [{mime}, {size_str}]", + ai.file_part(data, media_type=mime), + ) + + text = p.read_text(encoding="utf-8", errors="replace") + all_lines = text.split("\n") + total_lines = len(all_lines) + + start = (offset - 1) if offset else 0 # 0-indexed + if start >= total_lines: + raise ValueError( + f"Offset {offset} is beyond end of file ({total_lines} lines total)" + ) + start_display = start + 1 + + if limit is not None: + end = min(start + limit, total_lines) + selected = "\n".join(all_lines[start:end]) + user_limited = True + user_end_display = end # 1-indexed inclusive + else: + selected = "\n".join(all_lines[start:]) + user_limited = False + user_end_display = total_lines + + tr = truncate_head(selected) + + if tr.first_line_exceeds_limit: + first_size = format_size(len(all_lines[start].encode("utf-8"))) + return ( + f"[Line {start_display} is {first_size}, exceeds " + f"{format_size(DEFAULT_MAX_BYTES)} limit. Use bash: " + f"sed -n '{start_display}p' {path} | head -c {DEFAULT_MAX_BYTES}]" + ) + + out = tr.content + if tr.truncated: + end_display = start + tr.output_lines # 1-indexed inclusive + next_offset = end_display + 1 + if tr.truncated_by == "lines": + out += ( + f"\n\n[Showing lines {start_display}-{end_display} of " + f"{total_lines}. Use offset={next_offset} to continue.]" + ) + else: + out += ( + f"\n\n[Showing lines {start_display}-{end_display} of " + f"{total_lines} ({format_size(DEFAULT_MAX_BYTES)} limit). " + f"Use offset={next_offset} to continue.]" + ) + elif user_limited and user_end_display < total_lines: + remaining = total_lines - user_end_display + next_offset = user_end_display + 1 + out += ( + f"\n\n[{remaining} more lines in file. " + f"Use offset={next_offset} to continue.]" + ) + + return out + + +# --------------------------------------------------------------------------- +# write +# --------------------------------------------------------------------------- + + +@ai.tool(require_approval=True) +async def write(path: str, content: str) -> str: + """Write content to a file. + + Creates the file if it doesn't exist, overwrites if it does. + Automatically creates parent directories. Use write only for new + files or complete rewrites — use edit for targeted changes. + """ + p = pathlib.Path(path).expanduser() + p.parent.mkdir(parents=True, exist_ok=True) + p.write_text(content, encoding="utf-8") + return f"Wrote {len(content)} bytes to {path}" + + +# --------------------------------------------------------------------------- +# edit +# --------------------------------------------------------------------------- + + +class TextEdit(pydantic.BaseModel): + """A single targeted str_replace edit.""" + + oldText: str = pydantic.Field( + description=( + "Exact text for one targeted replacement. It must be unique " + "in the original file and must not overlap with any other " + "edits[].oldText in the same call." + ) + ) + newText: str = pydantic.Field( + description="Replacement text for this targeted edit." + ) + + +def edit_string( + content: str, + edits: list[TextEdit], + filename: str = "", +) -> str: + """Apply edits to a string and return the result. + + Each edit's ``oldText`` must match exactly once in *content*. + Edits are resolved against the original content and must not overlap. + """ + spans: list[tuple[int, int, str, int]] = [] # start, end, new, idx + for i, e in enumerate(edits): + if not e.oldText: + raise ValueError(f"edits[{i}].oldText is empty") + count = content.count(e.oldText) + if count == 0: + raise ValueError(f"edits[{i}].oldText not found in {filename}") + if count > 1: + raise ValueError( + f"edits[{i}].oldText matches {count} times " + f"in {filename}; must be unique" + ) + pos = content.index(e.oldText) + spans.append((pos, pos + len(e.oldText), e.newText, i)) + + spans.sort() + for j in range(1, len(spans)): + if spans[j][0] < spans[j - 1][1]: + raise ValueError( + f"edits[{spans[j - 1][3]}] and edits[{spans[j][3]}] overlap" + ) + + result = content + for start, end, new_text, _ in reversed(spans): + result = result[:start] + new_text + result[end:] + return result + + +class EditResult(pydantic.BaseModel): + """Structured result from the edit tool. + + Persisted in the session so the UI can render a diff on restore. + The model only sees ``message`` via the aggregator's + ``to_model_input``. + """ + + message: str + old_content: str + new_content: str + + +class _EditAggregator( + ai.types.events.Aggregator[EditResult, EditResult, str], +): + def __init__(self) -> None: + self._result: EditResult | None = None + + def feed(self, item: EditResult) -> None: + self._result = item + + def snapshot(self) -> EditResult: + assert self._result is not None + return self._result + + @classmethod + def to_model_input(cls, snapshot: EditResult) -> str: + # COMPAT: Check if it is a str because old sessions stored it + # that way. Probably remove this. + if isinstance(snapshot, str): + return snapshot + if isinstance(snapshot, dict): + return snapshot.get("message", str(snapshot)) + return snapshot.message + + +type _EditTool = Annotated[ + AsyncGenerator[EditResult], + ai.agents.Aggregate(_EditAggregator), +] + + +@ai.tool(require_approval=True) +async def edit(path: str, edits: list[TextEdit]) -> _EditTool: + """Edit a single file using exact text replacement. + + Every edits[].oldText must match a unique, non-overlapping region of + the original file. Each oldText is matched against the ORIGINAL + file, not after earlier edits are applied; emit one call with + multiple disjoint edits rather than several calls. + """ + p = pathlib.Path(path).expanduser() + if not p.exists(): + raise FileNotFoundError(f"No such file: {path}") + if not p.is_file(): + raise IsADirectoryError(f"Not a file: {path}") + if not edits: + raise ValueError("edits must be non-empty") + + old_content = p.read_text(encoding="utf-8") + new_content = edit_string(old_content, edits, path) + p.write_text(new_content, encoding="utf-8") + yield EditResult( + message=f"Successfully replaced {len(edits)} block(s) in {path}.", + old_content=old_content, + new_content=new_content, + ) + + +# --------------------------------------------------------------------------- +# bash +# --------------------------------------------------------------------------- + + +@ai.tool(require_approval=True) +async def bash( + command: str, timeout: float | None = None +) -> ai.StreamingTextTool: + """Execute a bash command in the current working directory. + + Returns stdout and stderr. Output is truncated to the last 2000 + lines or 50KB (whichever is hit first). Optionally provide a + timeout in seconds. + """ + proc = await asyncio.create_subprocess_shell( + command, + stdin=asyncio.subprocess.DEVNULL, + stdout=asyncio.subprocess.PIPE, + stderr=asyncio.subprocess.STDOUT, + ) + assert proc.stdout is not None + buf: list[str] = [] + timed_out = False + deadline = ( + asyncio.get_event_loop().time() + timeout + if timeout is not None + else None + ) + try: + async for raw in proc.stdout: + if ( + deadline is not None + and asyncio.get_event_loop().time() > deadline + ): + raise TimeoutError + line = raw.decode("utf-8", errors="replace") + buf.append(line) + yield line + except TimeoutError: + timed_out = True + proc.kill() + await proc.wait() + yield f"\n[Timed out after {timeout}s]\n" + return + + await proc.wait() + + # After streaming, check if we need to append metadata. + text = "".join(buf) + tr = truncate_tail(text) + if tr.truncated: + if tr.truncated_by == "lines": + yield ( + f"\n\n[Truncated: showing last {tr.output_lines} of " + f"{tr.total_lines} lines]" + ) + else: + yield ( + f"\n\n[Truncated: showing last {format_size(tr.output_bytes)} " + f"of {format_size(tr.total_bytes)}]" + ) + + if not timed_out and proc.returncode and proc.returncode != 0: + yield f"\n\n[Exit code: {proc.returncode}]" + + if not buf and not timed_out: + yield "[no output]" + + +# --------------------------------------------------------------------------- +# grep +# --------------------------------------------------------------------------- + + +@ai.tool(require_approval=True) +async def grep( + pattern: str, + path: str | None = None, + glob: str | None = None, + ignore_case: bool = False, + literal: bool = False, + context: int = 0, + limit: int = 100, +) -> str: + """Search file contents for a pattern. + + Returns matching lines as ``path:lineno:content``. Skips common + cruft directories (.git, node_modules, __pycache__, etc.) but does + NOT respect .gitignore. Output is truncated to ``limit`` matches + or 50KB. Long match lines are truncated to 500 chars. + """ + base = pathlib.Path(path).expanduser() if path else pathlib.Path.cwd() + if not base.exists(): + raise FileNotFoundError(f"No such path: {path}") + + flags = re.IGNORECASE if ignore_case else 0 + raw = re.escape(pattern) if literal else pattern + try: + pat = re.compile(raw, flags) + except re.error as e: + raise ValueError(f"Invalid regex: {e}") from e + + if base.is_file(): + files: list[pathlib.Path] = [base] + else: + candidates = base.rglob(glob) if glob else base.rglob("*") + files = [] + for f in candidates: + if not f.is_file(): + continue + try: + rel = f.relative_to(base) + except ValueError: + continue + if any(part in EXCLUDE_DIRS for part in rel.parts): + continue + files.append(f) + + hits: list[str] = [] + bytes_used = 0 + stopped_by: Literal["limit", "bytes", None] = None + + def _short(line: str) -> str: + if len(line) <= GREP_MAX_LINE_LENGTH: + return line + return line[:GREP_MAX_LINE_LENGTH] + "... [truncated]" + + for f in sorted(files): + try: + text = f.read_text(encoding="utf-8", errors="replace") + except OSError: + continue + try: + rel_path = f.relative_to(base) + except ValueError: + rel_path = f + lines = text.split("\n") + for i, line in enumerate(lines): + if not pat.search(line): + continue + if context > 0: + ctx_chunks = [] + for j in range( + max(0, i - context), min(len(lines), i + context + 1) + ): + sep = ":" if j == i else "-" + ctx_chunks.append( + f"{rel_path}{sep}{j + 1}{sep}{_short(lines[j])}" + ) + entry = "\n".join(ctx_chunks) + else: + entry = f"{rel_path}:{i + 1}:{_short(line)}" + hits.append(entry) + bytes_used += len(entry.encode("utf-8")) + 1 + if len(hits) >= limit: + stopped_by = "limit" + break + if bytes_used > DEFAULT_MAX_BYTES: + stopped_by = "bytes" + break + if stopped_by: + break + + if not hits: + return "No matches found." + + out = "\n".join(hits) + if stopped_by == "limit": + out += f"\n\n[Stopped at {len(hits)} matches; raise limit to see more]" + elif stopped_by == "bytes": + out += f"\n\n[Stopped at {format_size(DEFAULT_MAX_BYTES)} of output]" + return out + + +# --------------------------------------------------------------------------- +# find +# --------------------------------------------------------------------------- + + +@ai.tool(require_approval=True) +async def find( + pattern: str, + path: str | None = None, + limit: int = 1000, +) -> str: + """Search for files by glob pattern. + + Returns matching file paths relative to the search directory. + Skips common cruft directories but does NOT respect .gitignore. + Output is truncated to ``limit`` results or 50KB. + """ + base = pathlib.Path(path).expanduser() if path else pathlib.Path.cwd() + if not base.exists(): + raise FileNotFoundError(f"No such path: {path}") + if not base.is_dir(): + raise NotADirectoryError(f"Not a directory: {path}") + + matches: list[str] = [] + bytes_used = 0 + stopped_by: Literal["limit", "bytes", None] = None + for p in base.rglob(pattern): + try: + rel = p.relative_to(base) + except ValueError: + continue + if any(part in EXCLUDE_DIRS for part in rel.parts): + continue + s = str(rel) + ("/" if p.is_dir() else "") + matches.append(s) + bytes_used += len(s.encode("utf-8")) + 1 + if len(matches) >= limit: + stopped_by = "limit" + break + if bytes_used > DEFAULT_MAX_BYTES: + stopped_by = "bytes" + break + + if not matches: + return "No matches found." + + out = "\n".join(sorted(matches)) + if stopped_by == "limit": + out += f"\n\n[Stopped at {limit} matches; raise limit to see more]" + elif stopped_by == "bytes": + out += f"\n\n[Stopped at {format_size(DEFAULT_MAX_BYTES)} of output]" + return out + + +# --------------------------------------------------------------------------- +# ls +# --------------------------------------------------------------------------- + + +@ai.tool(require_approval=True) +async def ls(path: str | None = None, limit: int = 500) -> str: + """List directory contents. + + Entries are sorted alphabetically; directories are suffixed with + ``/``. Includes dotfiles. Output is truncated to ``limit`` + entries. + """ + p = pathlib.Path(path).expanduser() if path else pathlib.Path.cwd() + if not p.exists(): + raise FileNotFoundError(f"No such path: {path}") + if not p.is_dir(): + raise NotADirectoryError(f"Not a directory: {path}") + + entries: list[str] = [] + for entry in sorted(p.iterdir(), key=lambda e: e.name): + name = entry.name + ("/" if entry.is_dir() else "") + entries.append(name) + if len(entries) >= limit: + break + + if not entries: + return "(empty)" + + out = "\n".join(entries) + if len(entries) >= limit: + out += f"\n\n[Stopped at {limit} entries; raise limit to see more]" + return out + + +# --------------------------------------------------------------------------- +# Tool set +# --------------------------------------------------------------------------- + +TOOLS = [read, write, edit, bash, grep, find, ls] + +__all__ = [ + "TOOLS", + "bash", + "edit", + "find", + "grep", + "ls", + "read", + "write", +] diff --git 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