Merge pull request #167 from openqj/feat-imagegen-mcp

feat: 图片生成 MCP 工具 image_generate(中转站图片分组)
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openqj authored and GitHub committed 2026-10-30 03:03:07 +08:00
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"""Image generation through the sub2api relay (image group).
Measured 2026-10-30: the relay's image group (group 4) serves
``gpt-image-2.5-flare`` at ``/v1/images/generations`` and returns a
download URL (not ``b64_json``) for the finished PNG. Production
task keys live in group 2 (``codex-system``), whose
``allow_image_generation`` is False, so a task's own gateway key
cannot generate images -- this tool uses a separate system-level
image key, ``IMAGE_GEN_API_KEY``, like the search keys. Never fall
back to the task user's gateway key: it 404s with
``model_not_found`` and the failure looks like a broken tool.
Env (read by the MCP process, never printed in errors):
- ``IMAGE_GEN_BASE_URL``: relay origin, no trailing ``/v1``.
Defaults to ``SUB2API_BASE_URL`` (local gateway origin,
reachable from task containers via NO_PROXY), else
``https://sub2.diante.me``.
- ``IMAGE_GEN_API_KEY``: system image-group key. Missing key is a
configuration error, reported as such, never as a model error.
- ``IMAGE_GEN_MODEL``: default model, default
``gpt-image-2.5-flare`` (verified 2026-10-30: 200, real PNG
1024x1024, 829K, via the relay).
Network notes for task containers: the API call to the local
gateway origin must bypass the egress proxy (gateway host in
NO_PROXY); downloading the returned image URL goes through the
egress proxy, so the image CDN host (observed:
``*.qinglanapi.top``) must be on the Tinyproxy whitelist, or the
download step fails after a successful generation -- the tool
reports that distinctly.
"""
import base64
import json
import os
import struct
import time
import urllib.error
import urllib.request
DEFAULT_MODEL = "gpt-image-2.5-flare"
DEFAULT_BASE_URL = "https://sub2.diante.me"
ALLOWED_SIZES = ("1024x1024", "1536x1024", "1024x1536", "auto")
API_TIMEOUT = 180
DOWNLOAD_TIMEOUT = 120
class ImageGenError(RuntimeError):
"""Image generation failure. Messages never contain API keys."""
def _base_url():
base = (os.environ.get("IMAGE_GEN_BASE_URL", "").strip()
or os.environ.get("SUB2API_BASE_URL", "").strip()
or DEFAULT_BASE_URL)
return base.rstrip("/")
def _api_key():
return os.environ.get("IMAGE_GEN_API_KEY", "").strip()
def _default_model():
return os.environ.get("IMAGE_GEN_MODEL", "").strip() or DEFAULT_MODEL
def _detect_format(raw):
"""Return (format, width, height) from magic bytes; width/height
only for PNG (IHDR), otherwise None -- the caller verifies with
PIL in shell when it needs exact dimensions."""
if raw[:8] == b"\x89PNG\r\n\x1a\n" and len(raw) >= 24:
width, height = struct.unpack(">II", raw[16:24])
return "png", width, height
if raw[:3] == b"\xff\xd8\xff":
return "jpeg", None, None
if raw[:4] == b"RIFF" and raw[8:12] == b"WEBP":
return "webp", None, None
if raw[:6] in (b"GIF87a", b"GIF89a"):
return "gif", None, None
return "unknown", None, None
def _post_json(url, key, body, request=None):
if request is not None:
return request("POST", url, body, key)
data = json.dumps(body).encode()
req = urllib.request.Request(url, data=data, method="POST", headers={
"Authorization": "Bearer " + key, "Content-Type": "application/json"})
try:
with urllib.request.urlopen(req, timeout=API_TIMEOUT) as resp:
return resp.status, json.loads(resp.read().decode() or "{}")
except urllib.error.HTTPError as exc:
raw = exc.read().decode()
try:
payload = json.loads(raw or "{}")
except ValueError:
payload = {"raw": raw[:400]}
return exc.code, payload
except Exception as exc: # noqa: BLE001 - surfaced as tool error
return 0, {"error": str(exc)[:300]}
def _download(url, download=None):
if download is not None:
return download(url)
req = urllib.request.Request(url, headers={
"User-Agent": "codex-imagegen/1.0"})
try:
with urllib.request.urlopen(req, timeout=DOWNLOAD_TIMEOUT) as resp:
return resp.read()
except Exception as exc: # noqa: BLE001 - surfaced as tool error
raise ImageGenError("image download failed: %s" % exc)
def generate(prompt, output_filename=None, size="1024x1024",
model=None, request=None, download=None, cwd=None):
"""Generate one image and save it to the current working
directory (the task worktree when run as a Codex MCP server).
``output_filename`` must be a plain basename (no separators,
no ``..``); default is ``generated-<epoch>.png``. Returns a
dict with path, format, dimensions (PNG only), byte size and
the relay's usage block. Raises ImageGenError on any failure;
the message never contains the API key.
"""
if not prompt or not str(prompt).strip():
raise ImageGenError("prompt is required")
if size not in ALLOWED_SIZES:
raise ImageGenError("unsupported size: %r (allowed: %s)"
% (size, ", ".join(ALLOWED_SIZES)))
key = _api_key()
if not key:
raise ImageGenError(
"image generation not configured: IMAGE_GEN_API_KEY "
"is not set in the MCP environment")
name = output_filename or ("generated-%d.png" % int(time.time()))
if (os.path.basename(name) != name or name in (".", "..")
or "/" in name or "\\" in name):
raise ImageGenError(
"output_filename must be a plain basename, got %r" % name)
use_model = model or _default_model()
status, data = _post_json(
_base_url() + "/v1/images/generations", key,
{"model": use_model, "prompt": str(prompt), "size": size},
request=request)
if status != 200:
err = (data or {}).get("error") or {}
msg = err.get("message") if isinstance(err, dict) else str(err)
raise ImageGenError(
"image generation failed: HTTP %s: %s"
% (status, (msg or data or "unknown error")))
items = (data or {}).get("data") or []
if not items or not isinstance(items[0], dict):
raise ImageGenError("image generation returned no image data")
first = items[0]
b64 = first.get("b64_json")
if b64:
try:
raw = base64.b64decode(b64)
except Exception as exc: # noqa: BLE001
raise ImageGenError("invalid b64_json in response: %s" % exc)
elif first.get("url"):
raw = _download(first["url"], download=download)
else:
raise ImageGenError(
"image generation returned neither url nor b64_json "
"(keys: %s)" % ", ".join(sorted(first.keys())))
if not raw:
raise ImageGenError("downloaded image is empty")
fmt, width, height = _detect_format(raw)
workdir = os.path.abspath(cwd or os.getcwd())
path = os.path.join(workdir, name)
with open(path, "wb") as fh:
fh.write(raw)
result = {"path": path, "filename": name, "format": fmt,
"bytes": len(raw), "model": use_model, "size": size,
"revised_prompt": first.get("revised_prompt"),
"usage": data.get("usage")}
if width is not None:
result["width"] = width
result["height"] = height
return result
# ------------------------------------------------------- codex-home glue
def ensure_codex_home_imagegen(codex_home_dir, command_args=None,
script_dir=None):
"""Seed imagegen MCP files + config into a tenant codex-home.
Mirrors ``ensure_codex_home_websearch``: copies ``imagegen.py``
and ``imagegen_mcp.py`` only when missing or identical (a
tenant-modified script is never silently overwritten, it is
reported in ``script_differs``), and appends the
``[mcp_servers.imagegen]`` section only when absent. Keys are
never written here -- they arrive via
``ensure_imagegen_mcp_env`` from worker env.
"""
import shutil
home = os.path.abspath(codex_home_dir)
os.makedirs(home, exist_ok=True)
here = os.path.abspath(script_dir or os.path.dirname(__file__))
script_changed = False
script_differs = []
for name in ("imagegen.py", "imagegen_mcp.py"):
src = os.path.join(here, name)
dst = os.path.join(home, name)
if not os.path.exists(src):
continue
if not os.path.exists(dst):
shutil.copyfile(src, dst)
script_changed = True
else:
with open(src, "rb") as fh:
src_bytes = fh.read()
with open(dst, "rb") as fh:
dst_bytes = fh.read()
if src_bytes != dst_bytes:
script_differs.append(name)
continue
config_path = os.path.join(home, "config.toml")
if command_args is None:
command_args = ["python3",
os.path.join(home, "imagegen_mcp.py")]
section = ("\n[mcp_servers.imagegen]\n"
"command = %s\n"
"args = [%s]\n"
% (json.dumps(command_args[0]),
", ".join(json.dumps(a) for a in command_args[1:])))
config_changed = False
existing = ""
if os.path.exists(config_path):
with open(config_path, encoding="utf-8") as fh:
existing = fh.read()
if "[mcp_servers.imagegen]" not in existing:
with open(config_path, "a", encoding="utf-8") as fh:
if existing and not existing.endswith("\n"):
fh.write("\n")
fh.write(section)
config_changed = True
return {"config_path": config_path,
"script_path": os.path.join(home, "imagegen_mcp.py"),
"config_changed": config_changed,
"script_changed": script_changed,
"script_differs": script_differs}
def ensure_imagegen_mcp_env(codex_home_dir, env):
"""Write [mcp_servers.imagegen.env] into a tenant config.toml.
Same rationale as ``ensure_websearch_mcp_env``: Codex's MCP
subprocess does not inherit the Codex process env, so the env
must live in config.toml. Idempotent in-place replacement of
the env subsection; other sections untouched. Returns True
when the file was written.
"""
if not env:
return False
home = os.path.abspath(codex_home_dir)
config_path = os.path.join(home, "config.toml")
try:
existing = ""
if os.path.exists(config_path):
with open(config_path, encoding="utf-8") as fh:
existing = fh.read()
if "[mcp_servers.imagegen]" not in existing:
existing += ("\n[mcp_servers.imagegen]\n"
"command = \"python3\"\n"
"args = [\"/var/lib/codex-app-server/"
"codex-home/imagegen_mcp.py\"]\n")
env_lines = ["[mcp_servers.imagegen.env]"]
for key in sorted(env):
env_lines.append("%s = %s" % (key, json.dumps(env[key])))
env_block = "\n".join(env_lines) + "\n"
lines = existing.splitlines(keepends=True)
start = end = None
for i, line in enumerate(lines):
if line.strip() == "[mcp_servers.imagegen.env]":
start = i
elif start is not None and line.startswith("["):
end = i
break
if start is not None:
if end is None:
end = len(lines)
lines[start:end] = [env_block]
new_text = "".join(lines)
else:
insert_at = None
in_section = False
for i, line in enumerate(lines):
if line.strip() == "[mcp_servers.imagegen]":
in_section = True
elif in_section and line.startswith("["):
insert_at = i
break
if insert_at is None:
insert_at = len(lines)
lines.insert(insert_at, env_block)
new_text = "".join(lines)
if new_text == existing:
return False
with open(config_path, "w", encoding="utf-8") as fh:
fh.write(new_text)
return True
except Exception:
return False
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"""Stdio MCP server exposing image_generate to codex.
Protocol: JSON-RPC 2.0 over stdio, one JSON object per line.
Logs go to stderr only -- anything on stdout would corrupt the
JSON-RPC stream.
This file is deliberately thin: all provider logic lives in
``imagegen.py``. It can run two ways:
- inside the repo: ``python3 -m cloud.imagegen_mcp`` (imports
``cloud.imagegen``);
- copied flat into a tenant codex-home next to ``imagegen.py``
(imports plain ``imagegen`` from its own directory).
The ``ensure_codex_home_imagegen`` helper in imagegen.py does the
copying; keys are read from the MCP server process environment
by imagegen.py, never from the tool arguments.
"""
import json
import os
import sys
try:
from cloud.imagegen import ImageGenError, generate
except ImportError: # flat copy in a tenant codex-home
sys.path.insert(0, os.path.dirname(os.path.abspath(__file__)))
from imagegen import ImageGenError, generate # noqa: E402
SERVER_NAME = "imagegen"
SERVER_VERSION = "0.1.0"
_TOOLS = [
{
"name": "image_generate",
"description": (
"Generate one image from a text prompt via the relay's "
"image group and save it as a file in the current working "
"directory (the task worktree). Returns the absolute path, "
"format, dimensions when detectable, byte size and the "
"relay usage block. The file is a real generated image, "
"never a placeholder: on any failure the tool errors "
"instead of writing a stand-in file. Verify the returned "
"path with shell/PIL before reporting success."
),
"inputSchema": {
"type": "object",
"properties": {
"prompt": {"type": "string",
"description": "Image description in detail"},
"output_filename": {"type": "string",
"description": "Plain basename "
"to save as, e.g. 'hero.png'. "
"Default: generated-<epoch>.png"},
"size": {"type": "string", "default": "1024x1024",
"description": "1024x1024, 1536x1024, "
"1024x1536, or auto"},
"model": {"type": "string",
"description": "Image model override; "
"default is the IMAGE_GEN_MODEL env "
"or gpt-image-2.5-flare"},
},
"required": ["prompt"],
},
},
]
def _err(code, message):
return {"code": code, "message": message}
def handle_request(request, generate_fn=None):
"""Handle one JSON-RPC request dict. Returns a response dict or
None for notifications (no id). Pure function for testability:
the stdio loop passes the real generate, tests pass fakes."""
generate_fn = generate_fn or generate
if not isinstance(request, dict):
return {"jsonrpc": "2.0", "id": None,
"error": _err(-32700, "request is not an object")}
method = request.get("method")
req_id = request.get("id")
is_notification = "id" not in request
if method == "initialize":
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id,
"result": {
"protocolVersion": request.get("params", {}).get(
"protocolVersion", "2024-11-05"),
"capabilities": {"tools": {}},
"serverInfo": {"name": SERVER_NAME,
"version": SERVER_VERSION}}}
if method in ("notifications/initialized", "notifications/cancelled"):
return None
if method == "ping":
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id, "result": {}}
if method == "tools/list":
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id,
"result": {"tools": _TOOLS}}
if method == "tools/call":
if is_notification:
return None
params = request.get("params") or {}
name = params.get("name")
args = params.get("arguments") or {}
try:
if name == "image_generate":
result = generate_fn(
args.get("prompt"),
output_filename=args.get("output_filename"),
size=args.get("size", "1024x1024"),
model=args.get("model"))
else:
return {"jsonrpc": "2.0", "id": req_id,
"error": _err(-32602, "unknown tool: %r" % name)}
except Exception as exc: # noqa: BLE001 - tool errors are data
# ImageGenError messages are key-free by construction
# in imagegen.py; other exceptions are rendered as
# type + message, never with env or headers.
return {"jsonrpc": "2.0", "id": req_id,
"result": {"content": [{"type": "text",
"text": "error: %s" % exc}],
"isError": True}}
return {"jsonrpc": "2.0", "id": req_id,
"result": {"content": [{"type": "text",
"text": json.dumps(
result, ensure_ascii=False)}],
"isError": False}}
if is_notification:
return None
return {"jsonrpc": "2.0", "id": req_id,
"error": _err(-32601, "method not found: %r" % method)}
def main():
for line in sys.stdin:
line = line.strip()
if not line:
continue
try:
request = json.loads(line)
except json.JSONDecodeError as exc:
sys.stdout.write(json.dumps(
{"jsonrpc": "2.0", "id": None,
"error": _err(-32700, "parse error: %s" % exc)}) + "\n")
sys.stdout.flush()
continue
try:
response = handle_request(request)
except Exception as exc: # noqa: BLE001 - server must not die
print("imagegen_mcp: handler error: %s" % exc, file=sys.stderr)
if "id" in request:
response = {"jsonrpc": "2.0", "id": request["id"],
"error": _err(-32603, "internal error")}
else:
response = None
if response is not None:
sys.stdout.write(json.dumps(response) + "\n")
sys.stdout.flush()
if __name__ == "__main__":
main()
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@@ -22,13 +22,24 @@ description: 查看、裁剪、缩放、格式转换已有图片,或在图片
1. 查看和处理已有图片:查 `python3 -c "import PIL"`,
以及 `convert` / `magick`(ImageMagick)是否存在。
有其一即可做裁剪、缩放、转格式;都没有就明说。
2. 生成 / 编辑图片:先查任务环境里是否已配置图片生成
工具或 MCP / API(包括需要什么 key、走哪个 endpoint)。
没有配置时,回答必须是“本环境未配置图片生成工具,
无法按描述生成”,并给出替代方案(例如用 shell 画示意图、
或用户提供已有图片后做裁剪/缩放),绝不能:
2. 生成图片:本环境已配置图片生成 MCP 工具
`image_generate`(中转站图片分组,走系统级 key,不用
任务自己的网关 key)。调用它生成,不要自己去调
`/v1/images/generations`,也不要编造 key 或 endpoint。
参数:`prompt`(必填)、`output_filename`(工作区内的
文件名,如 `hero.png`)、`size`(1024x1024 / 1536x1024 /
1024x1536,默认 1024x1024)。工具返回绝对路径、格式、
尺寸、字节数;失败时工具直接报错,不要换图顶替。
如果工具列表里没有 `image_generate`,或调用它报
“image generation not configured”,回答必须是“本环境
未配置图片生成工具,无法按描述生成”,并给出替代方案
(例如用 shell 画示意图、或用户提供已有图片后做裁剪/
缩放),绝不能:
- 把网上找来的图、占位图、已有图片说成是刚生成的;
- 编造一个图片路径或图片内容描述。
编辑已有图片(按描述改图)目前没有专用工具:不要
把 `image_generate` 说成改图工具,改图需求先按“生成
一张新图”处理并向用户说明这是新图不是原图修改。
## 步骤(已有图片处理)
@@ -38,12 +49,13 @@ description: 查看、裁剪、缩放、格式转换已有图片,或在图片
3. 验证产出:重新打开产出图,确认格式、尺寸符合要求,
文件大小不是 0。
## 步骤(生成 / 编辑,仅当工具已配置时)
## 步骤(生成,仅当 image_generate 工具在位时)
1. 把用户描述原样记下来,不要自己加没说的元素。
2. 调已配置的生成工具,记录工具名、提示词、产出路径。
3. 验证产出图存在且能打开,再交给用户;失败时贴出
工具报错,不要换一张别的图顶替。
2. 调 `image_generate`,记录提示词、尺寸、产出路径。
3. 验证产出:用 shell / PIL 重新打开返回路径的图,确认
格式、尺寸符合要求,文件大小不是 0,再交给用户;
失败时贴出工具报错,不要换一张别的图顶替。
## 输出要求
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import json
import os
import sys
import tempfile
import unittest
sys.path.insert(0, os.path.join(os.path.dirname(__file__), "..", ".."))
from cloud import imagegen
from cloud.imagegen import ImageGenError, generate
from cloud.imagegen_mcp import handle_request
PNG_1x1 = (b"\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01"
b"\x00\x00\x00\x01\x08\x02\x00\x00\x00\x90wS\xde")
def _ok_request(body=None, key="k"):
def req(method, url, payload, token):
assert token == key
assert url.endswith("/v1/images/generations")
assert payload["model"] == "gpt-image-2.5-flare"
return 200, {"data": [body or {"url": "https://cdn.example/x.png",
"revised_prompt": "a red apple"}],
"usage": {"total_tokens": 1067}}
return req
class ImageGenTests(unittest.TestCase):
def setUp(self):
self._old = dict(os.environ)
os.environ["IMAGE_GEN_API_KEY"] = "k"
os.environ["IMAGE_GEN_BASE_URL"] = "https://relay.example"
os.environ.pop("IMAGE_GEN_MODEL", None)
self._tmp = tempfile.TemporaryDirectory()
self.addCleanup(self._tmp.cleanup)
def tearDown(self):
os.environ.clear()
os.environ.update(self._old)
def test_url_download_writes_png_with_dimensions(self):
out = generate("a red apple", output_filename="apple.png",
request=_ok_request(),
download=lambda url: PNG_1x1,
cwd=self._tmp.name)
self.assertEqual(out["path"],
os.path.join(self._tmp.name, "apple.png"))
self.assertEqual(out["format"], "png")
self.assertEqual((out["width"], out["height"]), (1, 1))
self.assertEqual(out["bytes"], len(PNG_1x1))
with open(out["path"], "rb") as fh:
self.assertEqual(fh.read(), PNG_1x1)
def test_b64_response_decoded(self):
import base64
body = {"b64_json": base64.b64encode(PNG_1x1).decode()}
out = generate("a red apple", request=_ok_request(body),
cwd=self._tmp.name)
self.assertTrue(out["filename"].startswith("generated-"))
self.assertEqual(out["format"], "png")
def test_missing_key_is_configuration_error(self):
os.environ.pop("IMAGE_GEN_API_KEY")
with self.assertRaises(ImageGenError) as ctx:
generate("x", cwd=self._tmp.name)
self.assertIn("not configured", str(ctx.exception))
def test_path_traversal_rejected(self):
for bad in ("../evil.png", "sub/apple.png", "/abs/apple.png"):
with self.assertRaises(ImageGenError):
generate("x", output_filename=bad,
request=_ok_request(), cwd=self._tmp.name)
def test_bad_size_rejected_before_network(self):
def boom(*args, **kwargs):
raise AssertionError("must not call network")
with self.assertRaises(ImageGenError):
generate("x", size="999x999", request=boom,
cwd=self._tmp.name)
def test_relay_error_surfaced_without_key(self):
def req(method, url, payload, token):
return 404, {"error": {"message": "Model not supported",
"type": "model_not_found"}}
with self.assertRaises(ImageGenError) as ctx:
generate("x", request=req, cwd=self._tmp.name)
self.assertIn("404", str(ctx.exception))
self.assertNotIn("k", str(ctx.exception))
def test_mcp_tools_list_and_call(self):
listed = handle_request({"jsonrpc": "2.0", "id": 1,
"method": "tools/list"})
names = [t["name"] for t in listed["result"]["tools"]]
self.assertIn("image_generate", names)
called = handle_request(
{"jsonrpc": "2.0", "id": 2, "method": "tools/call",
"params": {"name": "image_generate",
"arguments": {"prompt": "a red apple"}}},
generate_fn=lambda *a, **k: {"path": "/w/apple.png"})
text = called["result"]["content"][0]["text"]
self.assertEqual(json.loads(text)["path"], "/w/apple.png")
self.assertFalse(called["result"]["isError"])
def test_mcp_unknown_tool(self):
resp = handle_request({"jsonrpc": "2.0", "id": 3,
"method": "tools/call",
"params": {"name": "nope",
"arguments": {}}})
self.assertEqual(resp["error"]["code"], -32602)
def test_ensure_home_seeds_and_env(self):
home = os.path.join(self._tmp.name, "home")
os.makedirs(home)
with open(os.path.join(home, "config.toml"), "w") as fh:
fh.write("")
res = imagegen.ensure_codex_home_imagegen(
home, command_args=["python3", "/c/imagegen_mcp.py"])
self.assertTrue(res["config_changed"])
self.assertTrue(imagegen.ensure_imagegen_mcp_env(
home, {"IMAGE_GEN_API_KEY": "k",
"IMAGE_GEN_MODEL": "gpt-image-2.5-flare"}))
with open(os.path.join(home, "config.toml")) as fh:
text = fh.read()
self.assertIn("[mcp_servers.imagegen]", text)
self.assertIn("IMAGE_GEN_API_KEY", text)
# Idempotent: second env write with same values is a no-op.
self.assertFalse(imagegen.ensure_imagegen_mcp_env(
home, {"IMAGE_GEN_API_KEY": "k",
"IMAGE_GEN_MODEL": "gpt-image-2.5-flare"}))
if __name__ == "__main__":
unittest.main()
+96
View File
@@ -0,0 +1,96 @@
"""Worker wiring for image generation MCP: tenant seeding + env.
No Docker, no network: _tenant_dirs runs against temp dirs, and
the MCP env helper only edits the tenant config.toml.
"""
import os
import sys
import tempfile
import unittest
from pathlib import Path
try:
from cloud.server import init_db
from cloud.worker import Worker
from cloud.imagegen import ensure_imagegen_mcp_env
except ImportError:
sys.path.insert(0, str(Path(__file__).resolve().parents[2]))
from cloud.server import init_db
from cloud.worker import Worker
from cloud.imagegen import ensure_imagegen_mcp_env
class WorkerImagegenTestCase(unittest.TestCase):
def setUp(self):
self.tmp = tempfile.TemporaryDirectory()
self.db_path = os.path.join(self.tmp.name, "control.db")
init_db(self.db_path)
self.template_home = os.path.join(self.tmp.name, "tpl-home")
os.makedirs(self.template_home)
open(os.path.join(self.template_home, "config.toml"),
"w").write('[model_provider.xcmapi]\n'
'base_url="https://xcmapi.org/v1"\n')
self.template_repo = os.path.join(self.tmp.name, "tpl-repo")
os.makedirs(os.path.join(self.template_repo, ".git"))
open(os.path.join(self.template_repo, "sample.py"),
"w").write("def add(a, b):\n return a + b\n")
def tearDown(self):
self.tmp.cleanup()
def _worker(self, **kwargs):
kwargs.setdefault("env", {"XCM_API_KEY": "test-placeholder"})
kwargs.setdefault("tenants_root",
os.path.join(self.tmp.name, "tenants"))
kwargs.setdefault("tenant_template_home", self.template_home)
kwargs.setdefault("tenant_template_repo", self.template_repo)
kwargs.setdefault("tenant_isolation", True)
return Worker(self.db_path, "/fake/host.py", **kwargs)
def test_flag_off_is_old_behaviour(self):
worker = self._worker()
self.assertFalse(worker.imagegen_mcp)
dirs = worker._tenant_dirs("projA")
config = open(os.path.join(dirs["codex_home"],
"config.toml")).read()
self.assertNotIn("[mcp_servers.imagegen]", config)
self.assertFalse(os.path.exists(
os.path.join(dirs["codex_home"], "imagegen_mcp.py")))
def test_flag_on_seeds_container_path_and_scripts(self):
worker = self._worker(imagegen_mcp=True)
dirs = worker._tenant_dirs("projA")
home = dirs["codex_home"]
config = open(os.path.join(home, "config.toml")).read()
self.assertIn("[mcp_servers.imagegen]", config)
self.assertIn("/var/lib/codex-app-server/codex-home/"
"imagegen_mcp.py", config)
self.assertNotIn(self.tmp.name, config)
self.assertTrue(os.path.exists(
os.path.join(home, "imagegen.py")))
self.assertTrue(os.path.exists(
os.path.join(home, "imagegen_mcp.py")))
script = open(os.path.join(home, "imagegen_mcp.py")).read()
self.assertIn("image_generate", script)
def test_env_helper_writes_imagegen_section_only(self):
worker = self._worker(imagegen_mcp=True)
dirs = worker._tenant_dirs("projA")
home = dirs["codex_home"]
self.assertTrue(ensure_imagegen_mcp_env(
home, {"IMAGE_GEN_API_KEY": "k",
"IMAGE_GEN_MODEL": "gpt-image-2.5-flare",
"NO_PROXY": "localhost,127.0.0.1"}))
config = open(os.path.join(home, "config.toml")).read()
self.assertIn("[mcp_servers.imagegen.env]", config)
self.assertIn("gpt-image-2.5-flare", config)
# Idempotent: same values again is a no-op.
self.assertFalse(ensure_imagegen_mcp_env(
home, {"IMAGE_GEN_API_KEY": "k",
"IMAGE_GEN_MODEL": "gpt-image-2.5-flare",
"NO_PROXY": "localhost,127.0.0.1"}))
if __name__ == "__main__":
unittest.main()
+63 -1
View File
@@ -167,6 +167,8 @@ from cloud.peer_messages import row_get as _row_get
from cloud.sub2api import ensure_user_gateway_key as _ensure_sub2api_key
from cloud.websearch import ensure_codex_home_websearch as _ensure_websearch_mcp
from cloud.websearch import ensure_websearch_mcp_env as _ensure_websearch_mcp_env
from cloud.imagegen import ensure_codex_home_imagegen as _ensure_imagegen_mcp
from cloud.imagegen import ensure_imagegen_mcp_env as _ensure_imagegen_mcp_env
from cloud.skill_seed import ensure_codex_home_skills as _ensure_skills
from cloud.sub2api import gateway_name as _gateway_name
from cloud.sub2api import gateway_origin as _gateway_origin
@@ -415,6 +417,7 @@ class Worker:
tenant_template_home=None, tenant_template_repo=None,
egress_proxy_port=0, claim_executor_only=False,
websearch_mcp=False, seed_skills=False,
imagegen_mcp=False,
host_name=None, pr_jobs_only=False,
upload_dir=None,
digest_interval_seconds=3600,
@@ -567,6 +570,16 @@ class Worker:
# [mcp_servers.websearch](容器内路径,见 _tenant_dirs)。
# 老租户下一次任务自动合并,已有 section 不重写。
self.websearch_mcp = bool(websearch_mcp)
# 图片生成 MCP:默认关(老行为:租户 codex-home 只有
# 模板 config.toml + 可选的 websearch MCP)。开启后
# _tenant_dirs 在 websearch 播种之后调用 imagegen 的
# 播种助手,把 imagegen.py / imagegen_mcp.py 拷进租户
# codex-home 并追加 [mcp_servers.imagegen];_prepare_tenant
# 在容器启动前写 [mcp_servers.imagegen.env](系统级
# IMAGE_GEN_API_KEY + 代理 + NO_PROXY 网关 host)。
# 未配 IMAGE_GEN_API_KEY 时工具会明确报错“未配置”,
# 不会静默回退到任务自己的分组 2 key(那会 404)。
self.imagegen_mcp = bool(imagegen_mcp)
# 技能播种:默认关(老行为:租户 codex-home 只有模板
# config.toml + 可选的 websearch MCP)。开启后
# _tenant_dirs 在 websearch 播种之后调用 skill_seed
@@ -2448,6 +2461,17 @@ class Worker:
"python3",
"/var/lib/codex-app-server/codex-home/"
"websearch_mcp.py"])
if self.imagegen_mcp:
# 与 websearch 同款:播种失败直接抛错、任务不派发
# ——静默无生图比 loud 失败更糟,尤其对已宣传
# “能生图”的任务。key 不在这里写,只写
# command/args;key 由 _prepare_tenant 的 env 块给。
_ensure_imagegen_mcp(
dirs["codex_home"],
command_args=[
"python3",
"/var/lib/codex-app-server/codex-home/"
"imagegen_mcp.py"])
if self.seed_skills:
# 技能播种失败绝不阻塞任务:技能是可选的流程
# 说明,不是 websearch 那种“已宣传就必须有”的
@@ -2875,6 +2899,35 @@ class Worker:
except Exception as exc:
self.logger.warning(
"websearch MCP env write failed: %s" % exc)
if self.tenant_isolation and self.imagegen_mcp:
# 图片生成 MCP env:系统级 IMAGE_GEN_*(worker 环境,
# 即主机 env 文件)+ 代理(供下载返回的图片 URL)+
# NO_PROXY(供直连本地网关 origin,不走 egress 代理)。
# 未配 IMAGE_GEN_API_KEY 时仍写 base/model,工具会
# 明确报“未配置”;绝不把任务自己的分组 2 key 塞进来。
try:
imagegen_env = dict(proxy_env) if proxy_env else {}
for key in ("IMAGE_GEN_BASE_URL", "IMAGE_GEN_API_KEY",
"IMAGE_GEN_MODEL"):
if os.environ.get(key):
imagegen_env[key] = os.environ[key]
base = (os.environ.get("IMAGE_GEN_BASE_URL", "")
or os.environ.get("SUB2API_BASE_URL", ""))
host = base.split("://", 1)[-1].split("/", 1)[0]
host = host.split(":", 1)[0]
no_proxy = imagegen_env.get("NO_PROXY", "")
parts = [p for p in no_proxy.split(",") if p]
for item in ("localhost", "127.0.0.1", host):
if item and item not in parts:
parts.append(item)
imagegen_env["NO_PROXY"] = ",".join(parts)
imagegen_env["no_proxy"] = ",".join(parts)
home = self._tenant_dirs(
task.get("project_id"))["codex_home"]
_ensure_imagegen_mcp_env(home, imagegen_env)
except Exception as exc:
self.logger.warning(
"imagegen MCP env write failed: %s" % exc)
return (True, tenant_mounts, tenant_network, proxy_env, None)
def _run_fork(self, task, quota_check=None):
@@ -5928,6 +5981,14 @@ def main(argv=None):
" 拷进租户 codex-home/skills/;"
"默认关,老租户不受影响;租户改过的"
"技能文件绝不覆盖")
parser.add_argument("--imagegen-mcp", action="store_true",
help="租户 codex-home 自动播种图片生成 MCP:"
"_tenant_dirs 追加 [mcp_servers.imagegen] 并拷入"
" imagegen.py / imagegen_mcp.py,_prepare_tenant"
" 写 [mcp_servers.imagegen.env](系统级"
" IMAGE_GEN_API_KEY + 代理 + NO_PROXY);"
"默认关,老租户不受影响;未配 key 时工具"
"明确报未配置,不回退任务自己的网关 key")
parser.add_argument("--task-timeout", type=float, default=1800,
help="每任务截止时间(秒,默认 1800);0 表示不限时"
"(与 host --turn-timeout 0 同约定,worker 级"
@@ -5990,7 +6051,8 @@ def main(argv=None):
egress_proxy_port=args.egress_proxy_port,
claim_executor_only=args.claim_executor_only,
websearch_mcp=args.websearch_mcp,
seed_skills=args.seed_skills)
seed_skills=args.seed_skills,
imagegen_mcp=args.imagegen_mcp)
# CLI 启动清理兜底(常驻与单次都做):清掉上一轮残留容器。
worker.cleanup_stale_containers()
# CLI 起 worker 前先建表/迁移:全新库直接起循环不应因缺表而炸。