feat(*): t3code-mcp connector - machines, projects, dispatch, wait, interrupt

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hh
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## Code Principles
- **Simplicity**: Write simple, straightforward code
- **Readability**: Make code easy to understand
- **Maintainability**: Write code that's easy to update
- **Less Code = Less Debt**: Minimize code footprint
- **NEVER write comments** - code should be self-documenting
## Layout
- `src/t3code_mcp` - FastMCP server: `config.py` (machines from TOML), `t3.py` (HTTP client for a T3 Code server), `server.py` (tools)
- `t3code.example.toml` - config template; tokens come from env only
- `docs/PROGRESS.md` - keep current
## Checking commands
After writing code, always run (or `make check`):
```shell
ruff format # python formatter
ruff check --fix # python linter
ty check # python type-checker
pytest -q
```
Dependencies: `uv add`, never edit lock files by hand.
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{
"hooks": {
"PostToolUse": [
{
"matcher": "Write|Edit",
"hooks": [
{
"type": "command",
"command": "f=$(python3 -c 'import json,sys;print(json.load(sys.stdin).get(\"tool_input\",{}).get(\"file_path\",\"\"))'); case \"$f\" in *.py) uv run ruff format \"$f\" && uv run ruff check --fix \"$f\" ;; esac"
}
]
}
]
}
}
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.venv
.git
__pycache__
.pytest_cache
.ruff_cache
.idea
.env
t3code.toml
tests
docs
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.venv
__pycache__
.pytest_cache
.ruff_cache
.idea
.env
t3code.toml
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repos:
- repo: https://github.com/astral-sh/ruff-pre-commit
rev: v0.15.20
hooks:
- id: ruff-check
types_or: [ python, pyi ]
args: [ --fix ]
- id: ruff-format
types_or: [ python, pyi ]
- repo: local
hooks:
- id: ty
name: ty check
entry: uv run ty check
language: system
types_or: [ python, pyi ]
pass_filenames: false
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3.13
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FROM ghcr.io/astral-sh/uv:python3.13-bookworm-slim
WORKDIR /app
ENV PATH="/app/.venv/bin:$PATH" \
UV_COMPILE_BYTECODE=1 \
UV_LINK_MODE=copy \
T3CODE_MCP_CONFIG=/config/t3code.toml
COPY pyproject.toml uv.lock ./
RUN uv sync --frozen --no-install-project --no-dev
COPY README.md ./
COPY src ./src
RUN uv sync --frozen --no-dev
EXPOSE 8000
HEALTHCHECK --interval=30s --timeout=5s --start-period=10s \
CMD python -c "import urllib.request; urllib.request.urlopen('http://127.0.0.1:8000/healthz', timeout=3)"
CMD ["python", "-m", "t3code_mcp"]
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.PHONY: sync check fix run test
sync:
uv sync
check:
uv run ruff format --check
uv run ruff check
uv run ty check
uv run pytest -q
fix:
uv run ruff format
uv run ruff check --fix
test:
uv run pytest -q
run:
uv run python -m t3code_mcp
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# t3code-mcp
MCP-коннектор к серверам [T3 Code](https://github.com/pingdotgg/t3code) (`архитектура.md` §5): диспетчер бобра запускает кодинг-треды на маке и на dell, ждёт их и читает результат. Ни шелла, ни терминала - только оркестрация по HTTP API T3 (`packages/contracts/src/environmentHttp.ts`).
## Тулзы
| Тулза | Что делает |
|---|---|
| `t3_machines()` | машины из конфига, кто сейчас online (`/.well-known/t3/environment`), allowlist проектов |
| `t3_projects(machine)` | проекты машины, прошедшие allowlist: путь, модель по умолчанию, число тредов |
| `t3_dispatch(machine, project, prompt, title?, model?, thread_id?)` | `thread.create` + `thread.turn.start` (или только `turn.start` в существующий тред) → `thread_id` сразу |
| `t3_thread(thread_id, turns?)` | состояние без ожидания: тёрн, сессия, последние сообщения, тулзы, файлы, `pending` (вопрос/аппрув) |
| `t3_wait(thread_id, timeout?)` | блокируется до `completed` / `interrupted` / `error`, вопроса или таймаута; та же вьюха |
| `t3_interrupt(thread_id)` | `thread.turn.interrupt` |
`t3_wait` - обычный долгий вызов, не MCP Task: Claude Code расширение Tasks не поддерживает, зато сам уводит вызов дольше двух минут в фоновую задачу (`CLAUDE_CODE_MCP_AUTO_BACKGROUND_MS`). Треды бегут в `full-access` без аппрувов; тред ищется по всем машинам, если коннектор перезапускался.
## Конфиг
`t3code.toml` (путь - `T3CODE_MCP_CONFIG`, в образе `/config/t3code.toml`), пример - `t3code.example.toml`. Токены - только из env (`token_env`), выпускаются на каждой машине: `t3 auth session issue --token-only --ttl 365d --label beaver-t3code-mcp`. `projects` - fnmatch по названию и по workspace root; что не совпало, для диспетчера не существует. Порт и адрес - `T3CODE_MCP_HOST` / `T3CODE_MCP_PORT` (8000, путь `/mcp`, `/healthz`).
## Разработка
```sh
make sync # uv sync
make check # ruff format --check, ruff check (ALL), ty, pytest
make run # T3CODE_MCP_CONFIG=... uv run python -m t3code_mcp
uv run python scripts/smoke.py http://127.0.0.1:8000/mcp mac t3-smoke # живой диспатч + ожидание
```
## Деплой
Сервис `t3code-mcp` в `beaver-agent/docker-compose.yml` (профиль `t3`), образ собирается из этой репы (`T3CODE_MCP_REF`), gateway подключает его как `McpServer.http(name="t3code", url="http://t3code-mcp:8000/mcp")` и отдаёт только диспетчеру.
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# PROGRESS - t3code-mcp
> Что сделано, что нет, что проверить руками. Свежие записи сверху. Архитектурная правда - `архитектура.md` §5 (vault, симлинк в `../../архитектура.md`), журнал всей второй итерации - `../../PROGRESS.md`.
## 2026-08-29 - S10 (M6b): коннектор, две машины, dell как фоновые руки
Сделано: репа `beaver/t3code-mcp` (Python 3.13, FastMCP 3.4.7, httpx, pydantic-settings; ruff ALL + ty + pytest, `make check` чистый, 9 тестов на фейковом T3 через `httpx` transport). Тулзы `t3_machines`, `t3_projects`, `t3_dispatch` (`thread.create` + `thread.turn.start`, или только `turn.start` при `thread_id=`), `t3_thread`, `t3_wait`, `t3_interrupt` - по `packages/contracts/src/environmentHttp.ts` + `orchestration.ts` из `~/projects/playgrounds/t3code` (HEAD 2026-08-29, серверы 0.0.36). Конфиг `t3code.toml` (машины, `token_env`, allowlist fnmatch по названию и workspace root, модель по умолчанию), токены только из env. Проверено живьём: диспатч в `t3-smoke` на маке (`~/projects/playgrounds/t3-smoke`, заведён `t3 project add`) → `turn.completed` за 10 с, ответ и `smoke.txt` на месте; диспатч в `projects` на dell → Клод прочитал `~/.claude/CLAUDE.md`, склонировал `beaver/beaver-land` по ssh как `hh`, сделал `t3 project add`, проверил `gh` и токен Gitea - 25 с. Dell поднят как вторая машина: node 22 + `t3@0.0.36` (`npm -g`, нужен `build-essential` для node-pty), `claude` CLI 2.1.251, `uv`, `gh` (залогинен как haikesan), `t3 service install` (user-unit `t3code.service`, linger включён) с drop-in `EnvironmentFile=/root/.t3/service.env` (`T3CODE_HOST=100.76.140.93`, `T3CODE_PORT=3773`, `CLAUDE_CODE_OAUTH_TOKEN` из `beaver-agent/.env`, PATH с bun/uv, `IS_SANDBOX=1` - иначе Claude Code отказывает в `bypassPermissions` под root), `textGenerationModelSelection` → claudeAgent/sonnet (иначе заголовки тредов пытаются звать codex, которого нет). На dell: `/root/.claude/{CLAUDE.md,commands/commit.md,skills/komodo,settings.json}` (те же `/commit` и `komodo`, что на маке; CLAUDE.md - раскладка `~/projects/<org>/<repo>` как организации Gitea, правила пуша), `~/.gitconfig`, `~/.config/komodo/credentials`, `~/.config/gitea/token` (новый токен `dell-claude-2026-08`: repository/organization/issue/package), свой ssh-ключ `id_ed25519_gitea` в аккаунте hh (старый `id_ed25519` - read-only deploy key cars-demo), `/root/projects` заведён проектом `projects`. Токены `t3 auth session issue --ttl 365d --label beaver-t3code-mcp` с обеих машин записаны в `/root/beaver-agent/.env` как `T3_MAC_TOKEN`/`T3_DELL_TOKEN`, там же `COMPOSE_PROFILES=…,t3` и `T3CODE_MCP_REF=main`. В `beaver-agent`: сервис `t3code-mcp` в compose (профиль `t3`, образ из git), `t3code.toml`, `McpServer.http("t3code")` в `config.py`, отдаётся только диспетчеру; `.env.example` без `T3_URL`/`T3_TOKEN`. Скилл `мета/бобер/скиллы/диспетчер/t3code/SKILL.md` написан целиком.
Решения по ходу (легко откатить): (1) `t3_wait` - обычный долгий вызов, не MCP Task: расширение Tasks в 2026-07-28 вынесено в `io.modelcontextprotocol/tasks`, python-SDK 1.29 на 2025-11-25, Claude Code Tasks не поддерживает и сам уводит вызов > 2 мин в фон (`CLAUDE_CODE_MCP_AUTO_BACKGROUND_MS`); потолок ожидания 3600 с, опрос 5 с, флаги `pending` из shell-снапшота раз в 30 с. (2) Сразу после `turn.start` у треда ещё нет `latestTurn` - это состояние `starting`; `t3_wait` не выходит из него, пока не появится тёрн, сессия не упадёт (`lastError`) или тред не простоит `stopped` три опроса. (3) На маке отдельный `t3 serve` не поднимал: сервер десктопного T3 Code уже слушает `0.0.0.0:3773`, из tailnet и из контейнера на dell доступен по `http://100.65.207.48:3773`; жив, пока запущено приложение. Tailscale Serve/HTTPS не включал - внутри tailnet хватает http. (4) Треды без worktree (`branch`/`worktreePath` = null), в workspace root. (5) `t3_dispatch` умеет `thread_id=` для продолжения треда - шестая тулза из §5 не добавлялась, это параметр. (6) Dell работает под root (так устроен весь `/root/*`), граница - allowlist проектов и `IS_SANDBOX`; отдельный пользователь для t3 - если понадобится.
Не сделано: деплой (пуш `beaver-agent main:stable` - за h; после него `t3code-mcp` соберётся из Gitea `main`); ответ на `pending.user_input`/аппрувы через MCP (`thread.user-input.respond` не обёрнут - тред прерывается и продолжается новым `t3_dispatch(thread_id=)`); вложения; worktree-режим; codex на dell; pre-commit на dell не ставил. Расхождения с `архитектура.md` §5, не правил: «`t3 serve --tailscale-serve` на маке» - фактически сервер десктопа по http в tailnet; «Tasks вместо `t3_wait`» - проверено, неприменимо (см. выше); `t3_thread(thread_id)` без машины - тред ищется по всем машинам.
Проверить руками:
```sh
cd t3code-mcp && make check
# живой диспатч с мака (токен - `t3 auth session issue --token-only --ttl 1h`):
T3_MAC_TOKEN=... T3CODE_MCP_CONFIG=t3code.example.toml uv run python -m t3code_mcp # в другом окне
uv run python scripts/smoke.py http://127.0.0.1:8000/mcp mac t3-smoke
# dell:
ssh root@100.76.140.93 'XDG_RUNTIME_DIR=/run/user/0 systemctl --user status t3code.service | head -5; curl -s http://100.76.140.93:3773/.well-known/t3/environment'
# после `make deploy` в beaver-agent:
ssh root@100.76.140.93 'docker logs beaver-t3code-mcp --tail 5; docker exec beaver-gateway python -c "import urllib.request;print(urllib.request.urlopen(\"http://t3code-mcp:8000/healthz\").read())"'
# в телеге: «запусти на dell в проекте projects: …» → диспетчер зовёт t3_dispatch, t3_wait
```
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[project]
name = "t3code-mcp"
version = "0.1.0"
description = "MCP connector to T3 Code servers: dispatch coding threads on Бобёр's machines"
readme = "README.md"
authors = [
{ name = "h", email = "h@kotikot.com" }
]
requires-python = ">=3.13"
dependencies = [
"fastmcp>=3.4.7",
"httpx>=0.28",
"pydantic>=2.13",
"pydantic-settings>=2.14",
]
[project.scripts]
t3code-mcp = "t3code_mcp:main"
[build-system]
requires = ["uv_build>=0.11.14,<0.12.0"]
build-backend = "uv_build"
[dependency-groups]
dev = [
"pytest>=9",
"pytest-asyncio>=1.3",
"ruff>=0.15.13",
"ty>=0.0.37",
]
[tool.pytest.ini_options]
asyncio_mode = "auto"
testpaths = ["tests"]
[tool.ruff]
target-version = "py313"
[tool.ruff.lint]
select = ["ALL"]
ignore = [
"D203",
"D212",
"COM812",
"T201",
"D1",
"PLC0415",
"ANN401",
"PLR0913",
"PLR2004",
"C901",
"PLR0911",
"PLR0912",
"PLR0915",
"PLR0917",
"CPY001",
"RUF001",
"RUF002",
"RUF003",
"S104",
]
unfixable = ["F401"]
[tool.ruff.lint.per-file-ignores]
"tests/*" = ["ALL"]
"scripts/*" = ["INP001", "T201"]
[tool.ruff.lint.pydocstyle]
convention = "google"
[tool.ruff.lint.isort]
split-on-trailing-comma = false
[tool.ruff.format]
docstring-code-format = true
skip-magic-trailing-comma = true
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"""Live smoke against a running t3code-mcp: dispatch into a project and wait.
uv run python scripts/smoke.py http://127.0.0.1:8000/mcp mac t3-smoke
"""
import asyncio
import json
import sys
from fastmcp import Client
PROMPT = (
"Smoke test from t3code-mcp. Create or overwrite `smoke.txt` in the repo root "
"with one line: the current date and the word `ok`. Do not commit. Reply with "
"the exact line you wrote."
)
def show(label: str, result: object) -> None:
print(f"\n== {label}\n{json.dumps(result, ensure_ascii=False, indent=1)[:3000]}")
async def main(url: str, machine: str, project: str) -> None:
async with Client(url) as client:
machines = (await client.call_tool("t3_machines")).structured_content
show("t3_machines", machines)
projects = (
await client.call_tool("t3_projects", {"machine": machine})
).structured_content
show("t3_projects", projects)
started = (
await client.call_tool(
"t3_dispatch",
{"machine": machine, "project": project, "prompt": PROMPT},
)
).structured_content
show("t3_dispatch", started)
thread_id = started["thread_id"]
waited = (
await client.call_tool("t3_wait", {"thread_id": thread_id, "timeout": 600})
).structured_content
show("t3_wait", waited)
print("\nSTATE:", waited["state"], "waited:", waited["waited"])
if __name__ == "__main__":
asyncio.run(main(*sys.argv[1:4]))
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import logging
from t3code_mcp.config import Settings, load_machines
from t3code_mcp.server import Registry, build_server
def main() -> None:
logging.basicConfig(level=logging.INFO, format="%(asctime)s %(name)s %(message)s")
settings = Settings()
machines = load_machines(settings.config)
logging.getLogger(__name__).info(
"t3code-mcp: machines %s, listening on %s:%s",
list(machines),
settings.host,
settings.port,
)
server = build_server(Registry(machines))
server.run(transport="http", host=settings.host, port=settings.port, path="/mcp")
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from t3code_mcp import main
main()
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"""Machines and their project allowlists, from TOML; tokens only from env.
```toml
[machines.mac]
url = "http://100.65.207.48:3773"
token_env = "T3_MAC_TOKEN"
projects = ["t3-smoke", "/Users/h/projects/openprise/beaver/*"]
model = "claudeAgent/claude-opus-5"
options = { effort = "high", contextWindow = "1m" }
```
`projects` entries are `fnmatch` patterns matched against a project's title
and its workspace root. A machine without `model` uses the project default.
"""
from __future__ import annotations
import fnmatch
import os
import tomllib
from pathlib import Path
from typing import Any, Self
from pydantic import BaseModel, ConfigDict, Field, model_validator
from pydantic_settings import BaseSettings, SettingsConfigDict
class ModelSpec(BaseModel):
"""`instance/model` plus provider options, as T3's `ModelSelection`."""
model_config = ConfigDict(frozen=True)
instance: str
model: str
options: dict[str, str] = Field(default_factory=dict)
@classmethod
def parse(cls, text: str, options: dict[str, str] | None = None) -> Self:
instance, sep, model = text.partition("/")
if not sep or not instance or not model:
msg = f"model must be `instance/model`, got {text!r}"
raise ValueError(msg)
return cls(instance=instance, model=model, options=options or {})
@classmethod
def from_selection(cls, selection: dict[str, Any]) -> Self:
options = {o["id"]: str(o["value"]) for o in selection.get("options") or []}
return cls(
instance=selection["instanceId"], model=selection["model"], options=options
)
def selection(self) -> dict[str, Any]:
wire: dict[str, Any] = {"instanceId": self.instance, "model": self.model}
if self.options:
wire["options"] = [{"id": k, "value": v} for k, v in self.options.items()]
return wire
def __str__(self) -> str:
suffix = "".join(f" {k}={v}" for k, v in self.options.items())
return f"{self.instance}/{self.model}{suffix}"
class Machine(BaseModel):
model_config = ConfigDict(frozen=True)
name: str
url: str
token_env: str
projects: tuple[str, ...] = ()
model: ModelSpec | None = None
@model_validator(mode="before")
@classmethod
def _fold_model(cls, data: Any) -> Any:
if isinstance(data, dict) and isinstance(data.get("model"), str):
data = {
**data,
"model": ModelSpec.parse(data["model"], data.pop("options", None)),
}
return data
@property
def token(self) -> str:
token = os.environ.get(self.token_env, "").strip()
if not token:
msg = f"machine {self.name!r}: env {self.token_env} is empty"
raise ValueError(msg)
return token
def allows(self, project: dict[str, Any]) -> bool:
candidates = (project.get("title", ""), project.get("workspaceRoot", ""))
return any(
fnmatch.fnmatchcase(c, pattern)
for pattern in self.projects
for c in candidates
)
def load_machines(path: Path) -> dict[str, Machine]:
with path.open("rb") as f:
raw = tomllib.load(f)
machines = {
name: Machine(name=name, **fields)
for name, fields in raw.get("machines", {}).items()
}
if not machines:
msg = f"{path}: no [machines.<name>] sections"
raise ValueError(msg)
for machine in machines.values():
_ = machine.token
return machines
class Settings(BaseSettings):
model_config = SettingsConfigDict(env_prefix="T3CODE_MCP_")
config: Path = Path("t3code.toml")
host: str = "0.0.0.0"
port: int = 8000
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"""MCP tools over one or more T3 Code servers.
`t3_wait` blocks on purpose: Claude Code has no MCP Tasks support and moves
any tool call still running after two minutes into a background task by
itself, so a plain long poll is the cheapest correct shape here.
"""
from __future__ import annotations
import asyncio
import time
from dataclasses import dataclass, field
from typing import TYPE_CHECKING, Annotated, Any
import httpx
from fastmcp import FastMCP
from fastmcp.exceptions import ToolError
from pydantic import Field
from starlette.responses import JSONResponse
from t3code_mcp import t3
from t3code_mcp.config import Machine, ModelSpec
from t3code_mcp.t3 import T3Client, T3Error
if TYPE_CHECKING:
from starlette.requests import Request
TITLE_MAX = 80
TEXT_MAX = 6000
TOOLS_MAX = 12
WAIT_MAX = 3600.0
PENDING_EVERY = 6
BUSY = frozenset({"running", "starting"})
STALLED_POLLS = 3
@dataclass
class Registry:
machines: dict[str, Machine]
transport: httpx.AsyncBaseTransport | None = None
clients: dict[str, T3Client] = field(default_factory=dict)
threads: dict[str, str] = field(default_factory=dict)
def machine(self, name: str) -> Machine:
try:
return self.machines[name]
except KeyError:
msg = f"unknown machine {name!r}; known: {', '.join(self.machines)}"
raise ToolError(msg) from None
def client(self, name: str) -> T3Client:
machine = self.machine(name)
if name not in self.clients:
self.clients[name] = T3Client(
machine.url, machine.token, transport=self.transport
)
return self.clients[name]
async def locate(self, thread_id: str) -> tuple[str, dict[str, Any]]:
names = (
[self.threads[thread_id]]
if thread_id in self.threads
else list(self.machines)
)
for name in names:
detail = await self.client(name).thread(thread_id, turn_limit=1)
if detail is not None:
self.threads[thread_id] = name
return name, detail
msg = f"thread {thread_id} not found on {', '.join(names)}"
raise ToolError(msg)
async def aclose(self) -> None:
for client in self.clients.values():
await client.aclose()
self.clients.clear()
def _title(prompt: str, title: str | None) -> str:
text = (title or prompt).strip().splitlines()[0].strip()
if len(text) > TITLE_MAX:
text = text[:TITLE_MAX].rsplit(" ", 1)[0] + ""
return text or "t3code-mcp"
def _state(thread: dict[str, Any]) -> str:
latest = thread.get("latestTurn")
if latest:
return latest["state"]
messages = thread.get("messages", [])
return "starting" if messages and messages[-1]["role"] == "user" else "idle"
def _find_project(
machine: Machine, projects: list[dict[str, Any]], key: str
) -> dict[str, Any]:
allowed = [p for p in projects if not p.get("deletedAt") and machine.allows(p)]
for project in allowed:
if key in (project["id"], project["title"], project["workspaceRoot"]):
return project
names = ", ".join(p["title"] for p in allowed) or "(none allowlisted)"
msg = f"project {key!r} is not available on {machine.name}; allowed: {names}"
raise ToolError(msg)
def _project_view(
project: dict[str, Any], threads: list[dict[str, Any]]
) -> dict[str, Any]:
own = [
t
for t in threads
if t["projectId"] == project["id"] and not t.get("archivedAt")
]
running = sum(
1 for t in own if (t.get("latestTurn") or {}).get("state") == "running"
)
default = project.get("defaultModelSelection")
return {
"id": project["id"],
"title": project["title"],
"path": project["workspaceRoot"],
"default_model": str(ModelSpec.from_selection(default)) if default else None,
"threads": len(own),
"running": running,
}
def _summary(
machine: str, detail: dict[str, Any], *, project: str | None = None
) -> dict[str, Any]:
thread = detail["thread"]
latest = thread.get("latestTurn") or {}
session = thread.get("session") or {}
messages = [
{"role": m["role"], "text": m["text"][-TEXT_MAX:], "streaming": m["streaming"]}
for m in thread.get("messages", [])
if m.get("text")
]
tools = [
{
"summary": a["summary"],
"detail": str((a.get("payload") or {}).get("detail", ""))[:200],
}
for a in thread.get("activities", [])
if a.get("kind") == "tool.completed"
][-TOOLS_MAX:]
files = [
{"path": f["path"], "kind": f["kind"], "+": f["additions"], "-": f["deletions"]}
for c in thread.get("checkpoints", [])[-1:]
for f in c.get("files", [])
]
context = next(
(
a["payload"]
for a in reversed(thread.get("activities", []))
if a.get("kind") == "context-window.updated"
),
None,
)
return {
"thread_id": thread["id"],
"machine": machine,
"project": project or thread["projectId"],
"title": thread["title"],
"model": str(ModelSpec.from_selection(thread["modelSelection"])),
"state": _state(thread),
"turn_id": latest.get("turnId"),
"session": session.get("status"),
"error": session.get("lastError"),
"messages": messages,
"tools": tools,
"files": files,
"context_tokens": (context or {}).get("usedTokens"),
}
def _pending(shell: dict[str, Any], thread_id: str) -> dict[str, bool] | None:
for thread in shell.get("threads", []):
if thread["id"] == thread_id:
flags = {
"approval": bool(thread.get("hasPendingApprovals")),
"user_input": bool(thread.get("hasPendingUserInput")),
"plan": bool(thread.get("hasActionableProposedPlan")),
}
return flags if any(flags.values()) else None
return None
def build_server(registry: Registry, *, poll: float = 5.0) -> FastMCP:
mcp = FastMCP(
"t3code",
instructions=(
"Coding threads on Бобёр's machines through T3 Code. Flow: t3_machines → "
"t3_projects(machine) → t3_dispatch → t3_wait / t3_thread. Prompts run "
"autonomously (full-access, no approvals): say what to change, what to "
"check, what not to touch, and that the answer should end with a report."
),
)
@mcp.custom_route("/healthz", methods=["GET"])
async def healthz(_: Request) -> JSONResponse:
return JSONResponse({"status": "ok", "machines": list(registry.machines)})
@mcp.tool
async def t3_machines() -> list[dict[str, Any]]:
"""Machines with a T3 Code server: reachable now or not, project allowlist."""
result = []
for name, machine in registry.machines.items():
entry: dict[str, Any] = {
"name": name,
"url": machine.url,
"projects": machine.projects,
}
try:
descriptor = await registry.client(name).descriptor()
except (httpx.HTTPError, T3Error) as exc:
entry.update(online=False, error=str(exc)[:200])
else:
entry.update(
online=True,
label=descriptor.get("label"),
version=descriptor.get("serverVersion"),
os=(descriptor.get("platform") or {}).get("os"),
)
result.append(entry)
return result
@mcp.tool
async def t3_projects(
machine: Annotated[str, Field(description="Machine name from t3_machines")],
) -> list[dict[str, Any]]:
"""Allowlisted projects on a machine: default model, thread counts."""
spec = registry.machine(machine)
shell = await _call(registry.client(machine).shell())
return [
_project_view(p, shell["threads"])
for p in shell["projects"]
if not p.get("deletedAt") and spec.allows(p)
]
@mcp.tool
async def t3_dispatch(
machine: Annotated[str, Field(description="Machine name from t3_machines")],
project: Annotated[
str, Field(description="Project title, path or id from t3_projects")
],
prompt: Annotated[
str,
Field(
description="The task for the coding agent, complete and self-contained"
),
],
title: Annotated[
str | None,
Field(description="Thread title; default - first line of the prompt"),
] = None,
model: Annotated[
str | None,
Field(
description=(
"`instance/model`, e.g. claudeAgent/claude-opus-5; "
"default from config or the project"
)
),
] = None,
thread_id: Annotated[
str | None,
Field(description="Continue this existing thread instead of creating one"),
] = None,
) -> dict[str, Any]:
"""Start a coding thread on a machine (or follow up in one); returns at once.
The thread runs in the background: t3_wait blocks until it finishes,
t3_thread peeks without blocking.
"""
text = prompt.strip()
if not text:
msg = "prompt is empty"
raise ToolError(msg)
spec = registry.machine(machine)
client = registry.client(machine)
shell = await _call(client.shell())
target = _find_project(spec, shell["projects"], project)
if model:
selection = ModelSpec.parse(
model, spec.model.options if spec.model else None
)
elif spec.model:
selection = spec.model
elif target.get("defaultModelSelection"):
selection = ModelSpec.from_selection(target["defaultModelSelection"])
else:
msg = f"no model: set `model` in config for {machine} or pass model="
raise ToolError(msg)
heading = _title(text, title)
if thread_id:
existing = next((t for t in shell["threads"] if t["id"] == thread_id), None)
if existing is None or existing["projectId"] != target["id"]:
msg = f"thread {thread_id} is not in {target['title']} on {machine}"
raise ToolError(msg)
if (existing.get("latestTurn") or {}).get("state") == "running":
msg = f"thread {thread_id} is running; t3_wait or t3_interrupt first"
raise ToolError(msg)
tid = thread_id
await _call(
client.dispatch(t3.turn_start(tid, text, selection.selection()))
)
else:
tid = t3.new_id()
await _call(
client.dispatch(
t3.thread_create(tid, target["id"], heading, selection.selection())
)
)
await _call(client.dispatch(t3.turn_start(tid, text, title_seed=heading)))
registry.threads[tid] = machine
return {
"thread_id": tid,
"machine": machine,
"project": target["title"],
"path": target["workspaceRoot"],
"title": heading,
"model": str(selection),
"state": "running",
}
@mcp.tool
async def t3_thread(
thread_id: Annotated[str, Field(description="thread_id from t3_dispatch")],
turns: Annotated[
int, Field(description="How many recent user turns to include", ge=1, le=20)
] = 2,
) -> dict[str, Any]:
"""State of a thread without waiting.
Turn state, last messages, tools run, files changed, pending questions.
"""
machine, _ = await registry.locate(thread_id)
client = registry.client(machine)
detail = await _call(client.thread(thread_id, turn_limit=turns))
shell = await _call(client.shell())
if detail is None:
msg = f"thread {thread_id} vanished from {machine}"
raise ToolError(msg)
summary = _summary(machine, detail, project=_project_title(shell, detail))
summary["pending"] = _pending(shell, thread_id)
return summary
@mcp.tool
async def t3_wait(
thread_id: Annotated[str, Field(description="thread_id from t3_dispatch")],
timeout: Annotated[ # noqa: ASYNC109 - the tool's contract, not asyncio's
float,
Field(
description="Seconds to wait before giving the current state back",
ge=5,
le=WAIT_MAX,
),
] = 900,
) -> dict[str, Any]:
"""Block until the turn finishes, asks a question, or timeout runs out.
Ends on completed / interrupted / error, on a pending approval or
user-input request, or after `timeout` seconds; returns the t3_thread view.
"""
machine, detail = await registry.locate(thread_id)
client = registry.client(machine)
started = time.monotonic()
polls = 0
pending: dict[str, bool] | None = None
project: str | None = None
stalled = 0
while True:
thread = detail["thread"]
state = _state(thread)
session = thread.get("session") or {}
status = session.get("status")
if polls % PENDING_EVERY == 0:
shell = await _call(client.shell())
pending = _pending(shell, thread_id)
project = _project_title(shell, detail)
failed = status == "error" or bool(session.get("lastError"))
stalled = stalled + 1 if state == "starting" and status == "stopped" else 0
busy = (state in BUSY or status == "starting") and stalled < STALLED_POLLS
done = not busy or failed or pending is not None
timed_out = time.monotonic() - started >= timeout
if done or timed_out:
summary = _summary(machine, detail, project=project)
summary["pending"] = pending
summary["timed_out"] = timed_out and not done
summary["waited"] = round(time.monotonic() - started, 1)
return summary
await asyncio.sleep(poll)
polls += 1
refreshed = await _call(client.thread(thread_id, turn_limit=1))
if refreshed is None:
msg = f"thread {thread_id} vanished from {machine}"
raise ToolError(msg)
detail = refreshed
@mcp.tool
async def t3_interrupt(
thread_id: Annotated[str, Field(description="thread_id from t3_dispatch")],
) -> dict[str, Any]:
"""Interrupt the running turn; continue later via t3_dispatch(thread_id=...)."""
machine, detail = await registry.locate(thread_id)
latest = detail["thread"].get("latestTurn") or {}
if latest.get("state") != "running":
return {
"thread_id": thread_id,
"machine": machine,
"state": latest.get("state", "idle"),
}
await _call(
registry.client(machine).dispatch(
t3.turn_interrupt(thread_id, latest.get("turnId"))
)
)
return {"thread_id": thread_id, "machine": machine, "state": "interrupting"}
return mcp
def _project_title(shell: dict[str, Any], detail: dict[str, Any]) -> str | None:
project_id = detail["thread"]["projectId"]
return next((p["title"] for p in shell["projects"] if p["id"] == project_id), None)
async def _call(awaitable: Any) -> Any:
try:
return await awaitable
except T3Error as exc:
raise ToolError(str(exc)) from exc
except httpx.HTTPError as exc:
msg = f"T3 unreachable: {exc}"
raise ToolError(msg) from exc
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"""HTTP client for one T3 Code server (`packages/contracts/src/environmentHttp.ts`).
Four routes are used: the unauthenticated descriptor, the shell read-model
(projects + threads without bodies), one thread with a turn window, and
`dispatch` with a `ClientOrchestrationCommand`. The WebSocket RPC
(`terminal.*` and friends) is deliberately not wrapped.
"""
from __future__ import annotations
import uuid
from datetime import UTC, datetime
from typing import Any
import httpx
DESCRIPTOR = "/.well-known/t3/environment"
SHELL = "/api/orchestration/shell"
THREADS = "/api/orchestration/threads"
DISPATCH = "/api/orchestration/dispatch"
RUNTIME_MODE = "full-access"
INTERACTION_MODE = "default"
PROBE_TIMEOUT = 5.0
class T3Error(Exception):
def __init__(self, status: int, body: Any) -> None:
self.status = status
self.body = body
detail = (
f"{body.get('code')}: {body.get('reason') or body.get('message')}"
if isinstance(body, dict)
else str(body)[:300]
)
super().__init__(f"T3 responded {status} - {detail}")
def now_iso() -> str:
return datetime.now(UTC).isoformat(timespec="milliseconds").replace("+00:00", "Z")
def new_id() -> str:
return str(uuid.uuid4())
def thread_create(
thread_id: str, project_id: str, title: str, selection: dict[str, Any]
) -> dict[str, Any]:
return {
"type": "thread.create",
"commandId": new_id(),
"threadId": thread_id,
"projectId": project_id,
"title": title,
"modelSelection": selection,
"runtimeMode": RUNTIME_MODE,
"interactionMode": INTERACTION_MODE,
"branch": None,
"worktreePath": None,
"createdAt": now_iso(),
}
def turn_start(
thread_id: str,
text: str,
selection: dict[str, Any] | None = None,
title_seed: str | None = None,
) -> dict[str, Any]:
command: dict[str, Any] = {
"type": "thread.turn.start",
"commandId": new_id(),
"threadId": thread_id,
"message": {
"messageId": new_id(),
"role": "user",
"text": text,
"attachments": [],
},
"runtimeMode": RUNTIME_MODE,
"interactionMode": INTERACTION_MODE,
"createdAt": now_iso(),
}
if selection is not None:
command["modelSelection"] = selection
if title_seed:
command["titleSeed"] = title_seed
return command
def turn_interrupt(thread_id: str, turn_id: str | None = None) -> dict[str, Any]:
command: dict[str, Any] = {
"type": "thread.turn.interrupt",
"commandId": new_id(),
"threadId": thread_id,
"createdAt": now_iso(),
}
if turn_id:
command["turnId"] = turn_id
return command
class T3Client:
def __init__(
self,
url: str,
token: str,
*,
transport: httpx.AsyncBaseTransport | None = None,
timeout: float = 30.0,
) -> None:
self.url = url.rstrip("/")
self._http = httpx.AsyncClient(
base_url=self.url,
headers={"Authorization": f"Bearer {token}"},
timeout=timeout,
transport=transport,
)
async def aclose(self) -> None:
await self._http.aclose()
async def descriptor(self) -> dict[str, Any]:
response = await self._http.get(
DESCRIPTOR, headers={"Authorization": ""}, timeout=PROBE_TIMEOUT
)
return self._json(response)
async def shell(self) -> dict[str, Any]:
return self._json(await self._http.get(SHELL))
async def thread(
self, thread_id: str, turn_limit: int | None = None
) -> dict[str, Any] | None:
params = {"turnLimit": turn_limit} if turn_limit else None
response = await self._http.get(f"{THREADS}/{thread_id}", params=params)
if response.status_code == httpx.codes.NOT_FOUND:
return None
return self._json(response)
async def dispatch(self, command: dict[str, Any]) -> dict[str, Any]:
return self._json(await self._http.post(DISPATCH, json=command))
@staticmethod
def _json(response: httpx.Response) -> dict[str, Any]:
try:
body: Any = response.json()
except ValueError:
body = response.text
if response.is_error or not isinstance(body, dict):
raise T3Error(response.status_code, body)
return body
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# Machines with a T3 Code server. Tokens never live here: `token_env` names
# the env var holding the bearer from `t3 auth session issue --token-only`.
# `projects` are fnmatch patterns against a project's title and workspace root;
# a project that matches nothing does not exist for the dispatcher.
# `model` is optional (`instance/model`); without it the project default applies.
[machines.mac]
url = "http://100.65.207.48:3773"
token_env = "T3_MAC_TOKEN"
projects = ["t3-smoke", "/Users/h/projects/openprise/beaver/*"]
model = "claudeAgent/claude-opus-5"
options = { effort = "high", contextWindow = "1m" }
[machines.dell]
url = "http://100.76.140.93:3773"
token_env = "T3_DELL_TOKEN"
projects = ["/root/projects", "/root/projects/*"]
model = "claudeAgent/claude-opus-5"
options = { effort = "high", contextWindow = "1m" }
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import json
from typing import Any
import httpx
import pytest
from fastmcp import Client
from fastmcp.exceptions import ToolError
from t3code_mcp.config import Machine, ModelSpec, load_machines
from t3code_mcp.server import Registry, build_server
class FakeT3:
def __init__(
self, label: str, projects: list[dict[str, Any]], token: str = "tok"
) -> None:
self.label = label
self.token = token
self.projects = projects
self.threads: dict[str, dict[str, Any]] = {}
self.commands: list[dict[str, Any]] = []
self.polls_until_done = 2
self.pending_input = False
self.fail_with: str | None = None
def handle(self, request: httpx.Request) -> httpx.Response:
path = request.url.path
if path == "/.well-known/t3/environment":
return httpx.Response(
200,
json={
"label": self.label,
"serverVersion": "0.0.36",
"platform": {"os": "linux"},
},
)
if request.headers.get("authorization") != f"Bearer {self.token}":
return httpx.Response(
401, json={"code": "auth_invalid", "reason": "missing_credential"}
)
if path == "/api/orchestration/shell":
return httpx.Response(200, json=self._shell())
if path.startswith("/api/orchestration/threads/"):
thread_id = path.rsplit("/", 1)[1]
if thread_id not in self.threads:
return httpx.Response(
404, json={"code": "not_found", "reason": "thread_not_found"}
)
self._tick(thread_id)
return httpx.Response(
200, json={"snapshotSequence": 1, "thread": self.threads[thread_id]}
)
if path == "/api/orchestration/dispatch":
command = json.loads(request.content)
self.commands.append(command)
return self._dispatch(command)
return httpx.Response(404, json={"code": "not_found"})
def _shell(self) -> dict[str, Any]:
threads = [
{
k: v
for k, v in t.items()
if k not in ("messages", "activities", "checkpoints")
}
| {"hasPendingUserInput": self.pending_input, "hasPendingApprovals": False}
for t in self.threads.values()
]
return {
"snapshotSequence": 1,
"projects": self.projects,
"threads": threads,
"updatedAt": "now",
}
def _tick(self, thread_id: str) -> None:
thread = self.threads[thread_id]
if self.fail_with and thread.get("_pending_turn"):
thread["session"] = {"status": "stopped", "lastError": self.fail_with}
return
if thread.get("_pending_turn"):
thread["latestTurn"] = {
"turnId": thread.pop("_pending_turn"),
"state": "running",
}
return
latest = thread["latestTurn"]
if latest and latest["state"] == "running":
latest["_polls"] = latest.get("_polls", 0) + 1
if latest["_polls"] > self.polls_until_done:
latest["state"] = "completed"
thread["messages"].append(
{"role": "assistant", "text": "done: report", "streaming": False}
)
thread["session"]["status"] = "ready"
def _dispatch(self, command: dict[str, Any]) -> httpx.Response:
kind = command["type"]
if kind == "thread.create":
self.threads[command["threadId"]] = {
"id": command["threadId"],
"projectId": command["projectId"],
"title": command["title"],
"modelSelection": command["modelSelection"],
"runtimeMode": command["runtimeMode"],
"latestTurn": None,
"session": {"status": "idle", "lastError": None},
"messages": [],
"activities": [],
"checkpoints": [],
"archivedAt": None,
"updatedAt": "now",
}
elif kind == "thread.turn.start":
thread = self.threads[command["threadId"]]
thread["messages"].append(
{"role": "user", "text": command["message"]["text"], "streaming": False}
)
thread["latestTurn"] = None
thread["_pending_turn"] = "turn-" + command["commandId"][:4]
thread["session"] = {"status": "running", "lastError": None}
if "modelSelection" in command:
thread["modelSelection"] = command["modelSelection"]
elif kind == "thread.turn.interrupt":
thread = self.threads[command["threadId"]]
thread.pop("_pending_turn", None)
thread["latestTurn"] = {"turnId": "t", "state": "interrupted"}
else:
return httpx.Response(
400, json={"code": "invalid_request", "reason": "invalid_command"}
)
return httpx.Response(200, json={"sequence": len(self.commands)})
PROJECTS_MAC = [
{
"id": "p-smoke",
"title": "t3-smoke",
"workspaceRoot": "/Users/h/projects/playgrounds/t3-smoke",
"defaultModelSelection": {"instanceId": "codex", "model": "gpt-5.6-sol"},
},
{
"id": "p-secret",
"title": "secret",
"workspaceRoot": "/Users/h/secret",
"defaultModelSelection": None,
},
]
PROJECTS_DELL = [
{
"id": "p-root",
"title": "projects",
"workspaceRoot": "/root/projects",
"defaultModelSelection": None,
},
{
"id": "p-repo",
"title": "beaver/x",
"workspaceRoot": "/root/projects/beaver/x",
"defaultModelSelection": None,
},
]
class Router(httpx.AsyncBaseTransport):
def __init__(self, fakes: dict[str, FakeT3]) -> None:
self.fakes = fakes
async def handle_async_request(self, request: httpx.Request) -> httpx.Response:
return self.fakes[request.url.host].handle(request)
@pytest.fixture
def fakes(monkeypatch: pytest.MonkeyPatch) -> dict[str, FakeT3]:
monkeypatch.setenv("T3_MAC_TOKEN", "tok")
monkeypatch.setenv("T3_DELL_TOKEN", "tok")
return {"mac": FakeT3("mac", PROJECTS_MAC), "dell": FakeT3("dell", PROJECTS_DELL)}
@pytest.fixture
def registry(fakes: dict[str, FakeT3]) -> Registry:
machines = {
"mac": Machine.model_validate(
{
"name": "mac",
"url": "http://mac:3773",
"token_env": "T3_MAC_TOKEN",
"projects": ("t3-smoke",),
"model": "claudeAgent/claude-opus-5",
"options": {"effort": "high"},
}
),
"dell": Machine(
name="dell",
url="http://dell:3773",
token_env="T3_DELL_TOKEN",
projects=("/root/projects", "/root/projects/*"),
),
}
return Registry(machines, transport=Router(fakes))
@pytest.fixture
def client(registry: Registry) -> Client:
return Client(build_server(registry, poll=0.001))
def data(result: Any) -> Any:
return (
result.structured_content["result"]
if "result" in result.structured_content
else result.structured_content
)
async def test_machines_and_projects(client: Client) -> None:
async with client:
machines = data(await client.call_tool("t3_machines"))
assert [m["name"] for m in machines] == ["mac", "dell"]
assert all(m["online"] for m in machines)
projects = data(await client.call_tool("t3_projects", {"machine": "mac"}))
assert [p["title"] for p in projects] == ["t3-smoke"]
assert projects[0]["default_model"] == "codex/gpt-5.6-sol"
dell = data(await client.call_tool("t3_projects", {"machine": "dell"}))
assert [p["title"] for p in dell] == ["projects", "beaver/x"]
async def test_dispatch_wait_and_thread(
client: Client, fakes: dict[str, FakeT3]
) -> None:
async with client:
started = data(
await client.call_tool(
"t3_dispatch",
{
"machine": "mac",
"project": "t3-smoke",
"prompt": "write README\nmore",
},
)
)
assert started["title"] == "write README"
assert started["model"] == "claudeAgent/claude-opus-5 effort=high"
kinds = [c["type"] for c in fakes["mac"].commands]
assert kinds == ["thread.create", "thread.turn.start"]
assert fakes["mac"].commands[0]["modelSelection"] == {
"instanceId": "claudeAgent",
"model": "claude-opus-5",
"options": [{"id": "effort", "value": "high"}],
}
waited = data(
await client.call_tool(
"t3_wait", {"thread_id": started["thread_id"], "timeout": 5}
)
)
assert waited["state"] == "completed"
assert waited["messages"][-1]["text"] == "done: report"
assert waited["timed_out"] is False
view = data(
await client.call_tool("t3_thread", {"thread_id": started["thread_id"]})
)
assert view["project"] == "t3-smoke"
assert view["pending"] is None
async def test_follow_up_uses_same_thread(
client: Client, fakes: dict[str, FakeT3]
) -> None:
fakes["mac"].polls_until_done = 0
async with client:
started = data(
await client.call_tool(
"t3_dispatch",
{"machine": "mac", "project": "t3-smoke", "prompt": "one"},
)
)
await client.call_tool(
"t3_wait", {"thread_id": started["thread_id"], "timeout": 5}
)
again = data(
await client.call_tool(
"t3_dispatch",
{
"machine": "mac",
"project": "t3-smoke",
"prompt": "two",
"thread_id": started["thread_id"],
},
)
)
assert again["thread_id"] == started["thread_id"]
assert [c["type"] for c in fakes["mac"].commands] == [
"thread.create",
"thread.turn.start",
"thread.turn.start",
]
async def test_allowlist_and_unknown_machine(client: Client) -> None:
async with client:
with pytest.raises(ToolError, match="not available on mac"):
await client.call_tool(
"t3_dispatch", {"machine": "mac", "project": "secret", "prompt": "x"}
)
with pytest.raises(ToolError, match="unknown machine"):
await client.call_tool("t3_projects", {"machine": "rpi"})
async def test_wait_timeout_and_interrupt(
client: Client, fakes: dict[str, FakeT3]
) -> None:
fakes["dell"].polls_until_done = 10_000
async with client:
started = data(
await client.call_tool(
"t3_dispatch",
{
"machine": "dell",
"project": "/root/projects",
"prompt": "loop",
"model": "claudeAgent/claude-sonnet-5",
},
)
)
assert started["model"] == "claudeAgent/claude-sonnet-5"
waited = data(
await client.call_tool(
"t3_wait", {"thread_id": started["thread_id"], "timeout": 5}
)
)
assert waited["state"] == "running"
assert waited["timed_out"] is True
stopped = data(
await client.call_tool("t3_interrupt", {"thread_id": started["thread_id"]})
)
assert stopped["state"] == "interrupting"
assert fakes["dell"].commands[-1]["type"] == "thread.turn.interrupt"
view = data(
await client.call_tool("t3_thread", {"thread_id": started["thread_id"]})
)
assert view["state"] == "interrupted"
async def test_wait_returns_on_pending_input(
client: Client, fakes: dict[str, FakeT3]
) -> None:
fakes["mac"].polls_until_done = 10_000
fakes["mac"].pending_input = True
async with client:
started = data(
await client.call_tool(
"t3_dispatch",
{"machine": "mac", "project": "t3-smoke", "prompt": "ask"},
)
)
waited = data(
await client.call_tool(
"t3_wait", {"thread_id": started["thread_id"], "timeout": 5}
)
)
assert waited["pending"] == {
"approval": False,
"user_input": True,
"plan": False,
}
assert waited["state"] == "running"
async def test_locate_without_cache(
registry: Registry, fakes: dict[str, FakeT3]
) -> None:
fakes["dell"].polls_until_done = 0
async with Client(build_server(registry, poll=0.001)) as client:
started = data(
await client.call_tool(
"t3_dispatch",
{
"machine": "dell",
"project": "beaver/x",
"prompt": "hi",
"model": "claudeAgent/claude-opus-5",
},
)
)
registry.threads.clear()
async with Client(build_server(registry, poll=0.001)) as client:
view = data(
await client.call_tool("t3_thread", {"thread_id": started["thread_id"]})
)
assert view["machine"] == "dell"
def test_config_parsing(tmp_path, monkeypatch: pytest.MonkeyPatch) -> None:
monkeypatch.setenv("T3_MAC_TOKEN", "abc")
cfg = tmp_path / "t3code.toml"
cfg.write_text(
'[machines.mac]\nurl = "http://x"\ntoken_env = "T3_MAC_TOKEN"\nprojects = ["a"]\nmodel = "claudeAgent/claude-opus-5"\noptions = { effort = "high" }\n'
)
machines = load_machines(cfg)
assert machines["mac"].model == ModelSpec(
instance="claudeAgent", model="claude-opus-5", options={"effort": "high"}
)
assert machines["mac"].token == "abc"
monkeypatch.delenv("T3_MAC_TOKEN")
with pytest.raises(ValueError, match="T3_MAC_TOKEN is empty"):
load_machines(cfg)
async def test_wait_returns_on_runtime_failure(
client: Client, fakes: dict[str, FakeT3]
) -> None:
fakes["dell"].fail_with = "Claude runtime stream failed."
async with client:
started = data(
await client.call_tool(
"t3_dispatch",
{
"machine": "dell",
"project": "projects",
"prompt": "x",
"model": "claudeAgent/claude-opus-5",
},
)
)
waited = data(
await client.call_tool(
"t3_wait", {"thread_id": started["thread_id"], "timeout": 5}
)
)
assert waited["state"] == "starting"
assert waited["error"] == "Claude runtime stream failed."
assert waited["waited"] < 1
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[environment]
python = ".venv"
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