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@@ -1,536 +0,0 @@
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import asyncio
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import json
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import os
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import re
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import shutil
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import time
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import uuid
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from collections import defaultdict
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import aiodocker
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import aiohttp
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from astrbot.api import llm_tool, logger, star
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from astrbot.api.event import AstrMessageEvent, MessageEventResult, filter
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from astrbot.api.message_components import File, Image
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from astrbot.api.provider import ProviderRequest
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from astrbot.core.message.components import BaseMessageComponent
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from astrbot.core.utils.astrbot_path import get_astrbot_data_path
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from astrbot.core.utils.io import download_file, download_image_by_url
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PROMPT = """
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## Task
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You need to generate python codes to solve user's problem: {prompt}
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{extra_input}
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## Limit
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1. Available libraries:
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- standard libs
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- `Pillow`
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- `requests`
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- `numpy`
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- `matplotlib`
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- `scipy`
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- `scikit-learn`
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- `beautifulsoup4`
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||||
- `pandas`
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- `opencv-python`
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- `python-docx`
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- `python-pptx`
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- `pymupdf` (Do not use fpdf, reportlab, etc.)
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- `mplfonts`
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You can only use these libraries and the libraries that they depend on.
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2. Do not generate malicious code.
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3. Use given `shared.api` package to output the result.
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It has 3 functions: `send_text(text: str)`, `send_image(image_path: str)`, `send_file(file_path: str)`.
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For Image and file, you must save it to `output` folder.
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4. You must only output the code, do not output the result of the code and any other information.
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5. The output language is same as user's input language.
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6. Please first provide relevant knowledge about user's problem appropriately.
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## Example
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1. User's problem: `please solve the fabonacci sequence problem.`
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Output:
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```python
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from shared.api import send_text, send_image, send_file
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def fabonacci(n):
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if n <= 1:
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return n
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else:
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return fabonacci(n-1) + fabonacci(n-2)
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result = fabonacci(10)
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send_text("The fabonacci sequence is a series of numbers in which each number is the sum of the two preceding ones, starting from 0 and 1.")
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send_text("Let's calculate the fabonacci sequence of 10: " + result) # send_text is a function to send pure text to user
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```
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2. User's problem: `please draw a sin(x) function.`
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Output:
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```python
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from shared.api import send_text, send_image, send_file
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import numpy as np
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import matplotlib.pyplot as plt
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x = np.linspace(0, 2*np.pi, 100)
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y = np.sin(x)
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plt.plot(x, y)
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plt.savefig("output/sin_x.png")
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send_text("The sin(x) is a periodic function with a period of 2π, and the value range is [-1, 1]. The following is the image of sin(x).")
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send_image("output/sin_x.png") # send_image is a function to send image to user
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send_text("If you need more information, please let me know :)")
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```
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{extra_prompt}
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"""
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DEFAULT_CONFIG = {
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"sandbox": {
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"image": "soulter/astrbot-code-interpreter-sandbox",
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"docker_mirror": "", # cjie.eu.org
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},
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"docker_host_astrbot_abs_path": "",
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}
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PATH = os.path.join(get_astrbot_data_path(), "config", "python_interpreter.json")
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class Main(star.Star):
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"""基于 Docker 沙箱的 Python 代码执行器"""
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def __init__(self, context: star.Context) -> None:
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self.context = context
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self.curr_dir = os.path.dirname(os.path.abspath(__file__))
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||||
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||||
self.shared_path = os.path.join("data", "py_interpreter_shared")
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if not os.path.exists(self.shared_path):
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# 复制 api.py 到 shared 目录
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os.makedirs(self.shared_path, exist_ok=True)
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shared_api_file = os.path.join(self.curr_dir, "shared", "api.py")
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shutil.copy(shared_api_file, self.shared_path)
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self.workplace_path = os.path.join("data", "py_interpreter_workplace")
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os.makedirs(self.workplace_path, exist_ok=True)
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self.user_file_msg_buffer = defaultdict(list)
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"""存放用户上传的文件和图片"""
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self.user_waiting = {}
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"""正在等待用户的文件或图片"""
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||||
# 加载配置
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if not os.path.exists(PATH):
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self.config = DEFAULT_CONFIG
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self._save_config()
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else:
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with open(PATH) as f:
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self.config = json.load(f)
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async def initialize(self):
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ok = await self.is_docker_available()
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if not ok:
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logger.info(
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"Docker 不可用,代码解释器将无法使用,astrbot-python-interpreter 将自动禁用。",
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)
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# await self.context._star_manager.turn_off_plugin(
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# "astrbot-python-interpreter"
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# )
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async def file_upload(self, file_path: str):
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"""上传图像文件到 S3"""
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ext = os.path.splitext(file_path)[1]
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S3_URL = "https://s3.neko.soulter.top/astrbot-s3"
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with open(file_path, "rb") as f:
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file = f.read()
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s3_file_url = f"{S3_URL}/{uuid.uuid4().hex}{ext}"
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async with (
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aiohttp.ClientSession(
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headers={"Accept": "application/json"},
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||||
trust_env=True,
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||||
) as session,
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||||
session.put(s3_file_url, data=file) as resp,
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||||
):
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if resp.status != 200:
|
||||
raise Exception(f"Failed to upload image: {resp.status}")
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||||
return s3_file_url
|
||||
|
||||
async def is_docker_available(self) -> bool:
|
||||
"""Check if docker is available"""
|
||||
try:
|
||||
async with aiodocker.Docker() as docker:
|
||||
await docker.version()
|
||||
return True
|
||||
except BaseException as e:
|
||||
logger.info(f"检查 Docker 可用性: {e}")
|
||||
return False
|
||||
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||||
async def get_image_name(self) -> str:
|
||||
"""Get the image name"""
|
||||
if self.config["sandbox"]["docker_mirror"]:
|
||||
return f"{self.config['sandbox']['docker_mirror']}/{self.config['sandbox']['image']}"
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||||
return self.config["sandbox"]["image"]
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||||
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||||
def _save_config(self):
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with open(PATH, "w") as f:
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json.dump(self.config, f)
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async def gen_magic_code(self) -> str:
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return uuid.uuid4().hex[:8]
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||||
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async def download_image(
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self,
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image_url: str,
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workplace_path: str,
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filename: str,
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) -> str:
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"""Download image from url to workplace_path"""
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async with aiohttp.ClientSession(trust_env=True) as session:
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async with session.get(image_url) as resp:
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||||
if resp.status != 200:
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return ""
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||||
image_path = os.path.join(workplace_path, f"{filename}.jpg")
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||||
with open(image_path, "wb") as f:
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||||
f.write(await resp.read())
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||||
return f"{filename}.jpg"
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||||
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||||
async def tidy_code(self, code: str) -> str:
|
||||
"""Tidy the code"""
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||||
pattern = r"```(?:py|python)?\n(.*?)\n```"
|
||||
match = re.search(pattern, code, re.DOTALL)
|
||||
if match is None:
|
||||
raise ValueError("The code is not in the code block.")
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||||
return match.group(1)
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||||
@filter.event_message_type(filter.EventMessageType.ALL)
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async def on_message(self, event: AstrMessageEvent):
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"""处理消息"""
|
||||
uid = event.get_sender_id()
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||||
if uid not in self.user_waiting:
|
||||
return
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for comp in event.message_obj.message:
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if isinstance(comp, File):
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||||
file_path = await comp.get_file()
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||||
if file_path.startswith("http"):
|
||||
name = comp.name if comp.name else uuid.uuid4().hex[:8]
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||||
temp_dir = os.path.join(get_astrbot_data_path(), "temp")
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||||
path = os.path.join(temp_dir, name)
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||||
await download_file(file_path, path)
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||||
else:
|
||||
path = file_path
|
||||
self.user_file_msg_buffer[event.get_session_id()].append(path)
|
||||
logger.debug(f"User {uid} uploaded file: {path}")
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||||
yield event.plain_result(f"代码执行器: 文件已经上传: {path}")
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||||
if uid in self.user_waiting:
|
||||
del self.user_waiting[uid]
|
||||
elif isinstance(comp, Image):
|
||||
image_url = comp.url if comp.url else comp.file
|
||||
if image_url is None:
|
||||
raise ValueError("Image URL is None")
|
||||
if image_url.startswith("http"):
|
||||
image_path = await download_image_by_url(image_url)
|
||||
elif image_url.startswith("file:///"):
|
||||
image_path = image_url.replace("file:///", "")
|
||||
else:
|
||||
image_path = image_url
|
||||
self.user_file_msg_buffer[event.get_session_id()].append(image_path)
|
||||
logger.debug(f"User {uid} uploaded image: {image_path}")
|
||||
yield event.plain_result(f"代码执行器: 图片已经上传: {image_path}")
|
||||
if uid in self.user_waiting:
|
||||
del self.user_waiting[uid]
|
||||
|
||||
@filter.on_llm_request()
|
||||
async def on_llm_req(self, event: AstrMessageEvent, request: ProviderRequest):
|
||||
if event.get_session_id() in self.user_file_msg_buffer:
|
||||
files = self.user_file_msg_buffer[event.get_session_id()]
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||||
if not request.prompt:
|
||||
request.prompt = ""
|
||||
request.prompt += f"\nUser provided files: {files}"
|
||||
|
||||
@filter.command_group("pi")
|
||||
def pi(self):
|
||||
"""代码执行器配置"""
|
||||
|
||||
@pi.command("absdir")
|
||||
async def pi_absdir(self, event: AstrMessageEvent, path: str = ""):
|
||||
"""设置 Docker 宿主机绝对路径"""
|
||||
if not path:
|
||||
yield event.plain_result(
|
||||
f"当前 Docker 宿主机绝对路径: {self.config.get('docker_host_astrbot_abs_path', '')}",
|
||||
)
|
||||
else:
|
||||
self.config["docker_host_astrbot_abs_path"] = path
|
||||
self._save_config()
|
||||
yield event.plain_result(f"设置 Docker 宿主机绝对路径成功: {path}")
|
||||
|
||||
@pi.command("mirror")
|
||||
async def pi_mirror(self, event: AstrMessageEvent, url: str = ""):
|
||||
"""Docker 镜像地址"""
|
||||
if not url:
|
||||
yield event.plain_result(f"""当前 Docker 镜像地址: {self.config["sandbox"]["docker_mirror"]}。
|
||||
使用 `pi mirror <url>` 来设置 Docker 镜像地址。
|
||||
您所设置的 Docker 镜像地址将会自动加在 Docker 镜像名前。如: `soulter/astrbot-code-interpreter-sandbox` -> `cjie.eu.org/soulter/astrbot-code-interpreter-sandbox`。
|
||||
""")
|
||||
else:
|
||||
self.config["sandbox"]["docker_mirror"] = url
|
||||
self._save_config()
|
||||
yield event.plain_result("设置 Docker 镜像地址成功。")
|
||||
|
||||
@pi.command("repull")
|
||||
async def pi_repull(self, event: AstrMessageEvent):
|
||||
"""重新拉取沙箱镜像"""
|
||||
async with aiodocker.Docker() as docker:
|
||||
image_name = await self.get_image_name()
|
||||
try:
|
||||
await docker.images.get(image_name)
|
||||
await docker.images.delete(image_name, force=True)
|
||||
except aiodocker.exceptions.DockerError:
|
||||
pass
|
||||
await docker.images.pull(image_name)
|
||||
yield event.plain_result("重新拉取沙箱镜像成功。")
|
||||
|
||||
@pi.command("file")
|
||||
async def pi_file(self, event: AstrMessageEvent):
|
||||
"""在规定秒数(60s)内上传一个文件"""
|
||||
uid = event.get_sender_id()
|
||||
self.user_waiting[uid] = time.time()
|
||||
tip = "文件"
|
||||
yield event.plain_result(f"代码执行器: 请在 60s 内上传一个{tip}。")
|
||||
await asyncio.sleep(60)
|
||||
if uid in self.user_waiting:
|
||||
yield event.plain_result(
|
||||
f"代码执行器: {event.get_sender_name()}/{event.get_sender_id()} 未在规定时间内上传{tip}。",
|
||||
)
|
||||
self.user_waiting.pop(uid)
|
||||
|
||||
@pi.command("clear", alias=["clean"])
|
||||
async def pi_file_clean(self, event: AstrMessageEvent):
|
||||
"""清理用户上传的文件"""
|
||||
uid = event.get_sender_id()
|
||||
if uid in self.user_waiting:
|
||||
self.user_waiting.pop(uid)
|
||||
yield event.plain_result(
|
||||
f"代码执行器: {event.get_sender_name()}/{event.get_sender_id()} 已清理。",
|
||||
)
|
||||
else:
|
||||
yield event.plain_result(
|
||||
f"代码执行器: {event.get_sender_name()}/{event.get_sender_id()} 没有等待上传文件。",
|
||||
)
|
||||
|
||||
@pi.command("list")
|
||||
async def pi_file_list(self, event: AstrMessageEvent):
|
||||
"""列出用户上传的文件"""
|
||||
uid = event.get_sender_id()
|
||||
if uid in self.user_file_msg_buffer:
|
||||
files = self.user_file_msg_buffer[uid]
|
||||
yield event.plain_result(
|
||||
f"代码执行器: {event.get_sender_name()}/{event.get_sender_id()} 上传的文件: {files}",
|
||||
)
|
||||
else:
|
||||
yield event.plain_result(
|
||||
f"代码执行器: {event.get_sender_name()}/{event.get_sender_id()} 没有上传文件。",
|
||||
)
|
||||
|
||||
@llm_tool("python_interpreter")
|
||||
async def python_interpreter(self, event: AstrMessageEvent):
|
||||
"""Use this tool only if user really want to solve a complex problem and the problem can be solved very well by Python code.
|
||||
For example, user can use this tool to solve math problems, edit image, docx, pptx, pdf, etc.
|
||||
"""
|
||||
if not await self.is_docker_available():
|
||||
yield event.plain_result("Docker 在当前机器不可用,无法沙箱化执行代码。")
|
||||
|
||||
plain_text = event.message_str
|
||||
|
||||
# 创建必要的工作目录和幻术码
|
||||
magic_code = await self.gen_magic_code()
|
||||
workplace_path = os.path.join(self.workplace_path, magic_code)
|
||||
output_path = os.path.join(workplace_path, "output")
|
||||
os.makedirs(workplace_path, exist_ok=True)
|
||||
os.makedirs(output_path, exist_ok=True)
|
||||
|
||||
files = []
|
||||
# 文件
|
||||
for file_path in self.user_file_msg_buffer[event.get_session_id()]:
|
||||
if not file_path:
|
||||
continue
|
||||
elif not os.path.exists(file_path):
|
||||
logger.warning(f"文件 {file_path} 不存在,已忽略。")
|
||||
continue
|
||||
# cp
|
||||
file_name = os.path.basename(file_path)
|
||||
shutil.copy(file_path, os.path.join(workplace_path, file_name))
|
||||
files.append(file_name)
|
||||
|
||||
logger.debug(f"user query: {plain_text}, files: {files}")
|
||||
|
||||
# 整理额外输入
|
||||
extra_inputs = ""
|
||||
if files:
|
||||
extra_inputs += f"User provided files: {files}\n"
|
||||
|
||||
obs = ""
|
||||
n = 5
|
||||
|
||||
async with aiodocker.Docker() as docker:
|
||||
for i in range(n):
|
||||
if i > 0:
|
||||
logger.info(f"Try {i + 1}/{n}")
|
||||
|
||||
PROMPT_ = PROMPT.format(
|
||||
prompt=plain_text,
|
||||
extra_input=extra_inputs,
|
||||
extra_prompt=obs,
|
||||
)
|
||||
provider = self.context.get_using_provider()
|
||||
llm_response = await provider.text_chat(
|
||||
prompt=PROMPT_,
|
||||
session_id=f"{event.session_id}_{magic_code}_{i!s}",
|
||||
)
|
||||
|
||||
logger.debug(
|
||||
"code interpreter llm gened code:" + llm_response.completion_text,
|
||||
)
|
||||
|
||||
# 整理代码并保存
|
||||
code_clean = await self.tidy_code(llm_response.completion_text)
|
||||
with open(os.path.join(workplace_path, "exec.py"), "w") as f:
|
||||
f.write(code_clean)
|
||||
|
||||
# 检查有没有image
|
||||
image_name = await self.get_image_name()
|
||||
try:
|
||||
await docker.images.get(image_name)
|
||||
except aiodocker.exceptions.DockerError:
|
||||
# 拉取镜像
|
||||
logger.info(f"未找到沙箱镜像,正在尝试拉取 {image_name}...")
|
||||
await docker.images.pull(image_name)
|
||||
|
||||
yield event.plain_result(
|
||||
f"使用沙箱执行代码中,请稍等...(尝试次数: {i + 1}/{n})",
|
||||
)
|
||||
|
||||
self.docker_host_astrbot_abs_path = self.config.get(
|
||||
"docker_host_astrbot_abs_path",
|
||||
"",
|
||||
)
|
||||
if self.docker_host_astrbot_abs_path:
|
||||
host_shared = os.path.join(
|
||||
self.docker_host_astrbot_abs_path,
|
||||
self.shared_path,
|
||||
)
|
||||
host_output = os.path.join(
|
||||
self.docker_host_astrbot_abs_path,
|
||||
output_path,
|
||||
)
|
||||
host_workplace = os.path.join(
|
||||
self.docker_host_astrbot_abs_path,
|
||||
workplace_path,
|
||||
)
|
||||
|
||||
else:
|
||||
host_shared = os.path.abspath(self.shared_path)
|
||||
host_output = os.path.abspath(output_path)
|
||||
host_workplace = os.path.abspath(workplace_path)
|
||||
|
||||
logger.debug(
|
||||
f"host_shared: {host_shared}, host_output: {host_output}, host_workplace: {host_workplace}",
|
||||
)
|
||||
|
||||
container = await docker.containers.run(
|
||||
{
|
||||
"Image": image_name,
|
||||
"Cmd": ["python", "exec.py"],
|
||||
"Memory": 512 * 1024 * 1024,
|
||||
"NanoCPUs": 1000000000,
|
||||
"HostConfig": {
|
||||
"Binds": [
|
||||
f"{host_shared}:/astrbot_sandbox/shared:ro",
|
||||
f"{host_output}:/astrbot_sandbox/output:rw",
|
||||
f"{host_workplace}:/astrbot_sandbox:rw",
|
||||
],
|
||||
},
|
||||
"Env": [f"MAGIC_CODE={magic_code}"],
|
||||
"AutoRemove": True,
|
||||
},
|
||||
)
|
||||
|
||||
logger.debug(f"Container {container.id} created.")
|
||||
logs = await self.run_container(container)
|
||||
|
||||
logger.debug(f"Container {container.id} finished.")
|
||||
logger.debug(f"Container {container.id} logs: {logs}")
|
||||
|
||||
# 发送结果
|
||||
pattern = r"\[ASTRBOT_(TEXT|IMAGE|FILE)_OUTPUT#\w+\]: (.*)"
|
||||
ok = False
|
||||
traceback = ""
|
||||
for idx, log in enumerate(logs):
|
||||
match = re.match(pattern, log)
|
||||
if match:
|
||||
ok = True
|
||||
if match.group(1) == "TEXT":
|
||||
yield event.plain_result(match.group(2))
|
||||
elif match.group(1) == "IMAGE":
|
||||
image_path = os.path.join(workplace_path, match.group(2))
|
||||
logger.debug(f"Sending image: {image_path}")
|
||||
yield event.image_result(image_path)
|
||||
elif match.group(1) == "FILE":
|
||||
file_path = os.path.join(workplace_path, match.group(2))
|
||||
# logger.debug(f"Sending file: {file_path}")
|
||||
# file_s3_url = await self.file_upload(file_path)
|
||||
# logger.info(f"文件上传到 AstrBot 云节点: {file_s3_url}")
|
||||
file_name = os.path.basename(file_path)
|
||||
chain: list[BaseMessageComponent] = [
|
||||
File(name=file_name, file=file_path)
|
||||
]
|
||||
yield event.set_result(MessageEventResult(chain=chain))
|
||||
|
||||
elif (
|
||||
"Traceback (most recent call last)" in log or "[Error]: " in log
|
||||
):
|
||||
traceback = "\n".join(logs[idx:])
|
||||
|
||||
if not ok:
|
||||
if traceback:
|
||||
obs = f"## Observation \n When execute the code: ```python\n{code_clean}\n```\n\n Error occurred:\n\n{traceback}\n Need to improve/fix the code."
|
||||
else:
|
||||
logger.warning(
|
||||
f"未从沙箱输出中捕获到合法的输出。沙箱输出日志: {logs}",
|
||||
)
|
||||
break
|
||||
else:
|
||||
# 成功了
|
||||
self.user_file_msg_buffer.pop(event.get_session_id())
|
||||
return
|
||||
|
||||
yield event.plain_result(
|
||||
"经过多次尝试后,未从沙箱输出中捕获到合法的输出,请更换问法或者查看日志。",
|
||||
)
|
||||
|
||||
@pi.command("cleanfile")
|
||||
async def pi_cleanfile(self, event: AstrMessageEvent):
|
||||
"""清理用户上传的文件"""
|
||||
for file in self.user_file_msg_buffer[event.get_session_id()]:
|
||||
try:
|
||||
os.remove(file)
|
||||
except BaseException as e:
|
||||
logger.error(f"删除文件 {file} 失败: {e}")
|
||||
|
||||
self.user_file_msg_buffer.pop(event.get_session_id())
|
||||
yield event.plain_result(f"用户 {event.get_session_id()} 上传的文件已清理。")
|
||||
|
||||
async def run_container(
|
||||
self,
|
||||
container: aiodocker.docker.DockerContainer,
|
||||
timeout: int = 20,
|
||||
) -> list[str]:
|
||||
"""Run the container and get the output"""
|
||||
try:
|
||||
await container.wait(timeout=timeout)
|
||||
logs = await container.log(stdout=True, stderr=True)
|
||||
return logs
|
||||
except asyncio.TimeoutError:
|
||||
logger.warning(f"Container {container.id} timeout.")
|
||||
await container.kill()
|
||||
return [f"[Error]: Container has been killed due to timeout ({timeout}s)."]
|
||||
finally:
|
||||
await container.delete()
|
||||
@@ -1,4 +0,0 @@
|
||||
name: astrbot-python-interpreter
|
||||
desc: Python 代码执行器
|
||||
author: Soulter
|
||||
version: 0.0.1
|
||||
@@ -1 +0,0 @@
|
||||
aiodocker
|
||||
@@ -1,22 +0,0 @@
|
||||
import os
|
||||
|
||||
|
||||
def _get_magic_code():
|
||||
"""防止注入攻击"""
|
||||
return os.getenv("MAGIC_CODE")
|
||||
|
||||
|
||||
def send_text(text: str):
|
||||
print(f"[ASTRBOT_TEXT_OUTPUT#{_get_magic_code()}]: {text}")
|
||||
|
||||
|
||||
def send_image(image_path: str):
|
||||
if not os.path.exists(image_path):
|
||||
raise Exception(f"Image file not found: {image_path}")
|
||||
print(f"[ASTRBOT_IMAGE_OUTPUT#{_get_magic_code()}]: {image_path}")
|
||||
|
||||
|
||||
def send_file(file_path: str):
|
||||
if not os.path.exists(file_path):
|
||||
raise Exception(f"File not found: {file_path}")
|
||||
print(f"[ASTRBOT_FILE_OUTPUT#{_get_magic_code()}]: {file_path}")
|
||||
@@ -227,7 +227,8 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
encrypted=llm_resp.reasoning_signature,
|
||||
)
|
||||
)
|
||||
parts.append(TextPart(text=llm_resp.completion_text or "*No response*"))
|
||||
if llm_resp.completion_text:
|
||||
parts.append(TextPart(text=llm_resp.completion_text))
|
||||
self.run_context.messages.append(Message(role="assistant", content=parts))
|
||||
|
||||
# call the on_agent_done hook
|
||||
@@ -277,7 +278,8 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
encrypted=llm_resp.reasoning_signature,
|
||||
)
|
||||
)
|
||||
parts.append(TextPart(text=llm_resp.completion_text or "*No response*"))
|
||||
if llm_resp.completion_text:
|
||||
parts.append(TextPart(text=llm_resp.completion_text))
|
||||
tool_calls_result = ToolCallsResult(
|
||||
tool_calls_info=AssistantMessageSegment(
|
||||
tool_calls=llm_resp.to_openai_to_calls_model(),
|
||||
@@ -361,7 +363,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
ToolCallMessageSegment(
|
||||
role="tool",
|
||||
tool_call_id=func_tool_id,
|
||||
content=f"error: 未找到工具 {func_tool_name}",
|
||||
content=f"error: Tool {func_tool_name} not found.",
|
||||
),
|
||||
)
|
||||
continue
|
||||
@@ -427,7 +429,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
ToolCallMessageSegment(
|
||||
role="tool",
|
||||
tool_call_id=func_tool_id,
|
||||
content="返回了图片(已直接发送给用户)",
|
||||
content="The tool has successfully returned an image and sent directly to the user. You can describe it in your next response.",
|
||||
),
|
||||
)
|
||||
yield MessageChain(type="tool_direct_result").base64_image(
|
||||
@@ -452,7 +454,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
ToolCallMessageSegment(
|
||||
role="tool",
|
||||
tool_call_id=func_tool_id,
|
||||
content="返回了图片(已直接发送给用户)",
|
||||
content="The tool has successfully returned an image and sent directly to the user. You can describe it in your next response.",
|
||||
),
|
||||
)
|
||||
yield MessageChain(
|
||||
@@ -463,7 +465,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
ToolCallMessageSegment(
|
||||
role="tool",
|
||||
tool_call_id=func_tool_id,
|
||||
content="返回的数据类型不受支持",
|
||||
content="The tool has returned a data type that is not supported.",
|
||||
),
|
||||
)
|
||||
|
||||
@@ -480,7 +482,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
ToolCallMessageSegment(
|
||||
role="tool",
|
||||
tool_call_id=func_tool_id,
|
||||
content="*工具没有返回值或者将结果直接发送给了用户*",
|
||||
content="The tool has no return value, or has sent the result directly to the user.",
|
||||
),
|
||||
)
|
||||
else:
|
||||
@@ -492,7 +494,7 @@ class ToolLoopAgentRunner(BaseAgentRunner[TContext]):
|
||||
ToolCallMessageSegment(
|
||||
role="tool",
|
||||
tool_call_id=func_tool_id,
|
||||
content="*工具返回了不支持的类型,请告诉用户检查这个工具的定义和实现。*",
|
||||
content="*The tool has returned an unsupported type. Please tell the user to check the definition and implementation of this tool.*",
|
||||
),
|
||||
)
|
||||
|
||||
|
||||
@@ -113,6 +113,14 @@ DEFAULT_CONFIG = {
|
||||
"provider": "moonshotai",
|
||||
"moonshotai_api_key": "",
|
||||
},
|
||||
"sandbox": {
|
||||
"enable": False,
|
||||
"booter": "shipyard",
|
||||
"shipyard_endpoint": "",
|
||||
"shipyard_access_token": "",
|
||||
"shipyard_ttl": 3600,
|
||||
"shipyard_max_sessions": 10,
|
||||
},
|
||||
},
|
||||
"provider_stt_settings": {
|
||||
"enable": False,
|
||||
@@ -2539,6 +2547,62 @@ CONFIG_METADATA_3 = {
|
||||
# "provider_settings.enable": True,
|
||||
# },
|
||||
# },
|
||||
"sandbox": {
|
||||
"description": "Agent 沙箱环境",
|
||||
"type": "object",
|
||||
"items": {
|
||||
"provider_settings.sandbox.enable": {
|
||||
"description": "启用沙箱环境",
|
||||
"type": "bool",
|
||||
"hint": "启用后,Agent 可以使用沙箱环境中的工具和资源,如 Python 代码执行、Shell 等。",
|
||||
},
|
||||
"provider_settings.sandbox.booter": {
|
||||
"description": "沙箱环境驱动器",
|
||||
"type": "string",
|
||||
"options": ["shipyard"],
|
||||
"condition": {
|
||||
"provider_settings.sandbox.enable": True,
|
||||
},
|
||||
},
|
||||
"provider_settings.sandbox.shipyard_endpoint": {
|
||||
"description": "Shipyard API Endpoint",
|
||||
"type": "string",
|
||||
"hint": "Shipyard 服务的 API 访问地址。",
|
||||
"condition": {
|
||||
"provider_settings.sandbox.enable": True,
|
||||
"provider_settings.sandbox.booter": "shipyard",
|
||||
},
|
||||
"_special": "check_shipyard_connection",
|
||||
},
|
||||
"provider_settings.sandbox.shipyard_access_token": {
|
||||
"description": "Shipyard Access Token",
|
||||
"type": "string",
|
||||
"hint": "用于访问 Shipyard 服务的访问令牌。",
|
||||
"condition": {
|
||||
"provider_settings.sandbox.enable": True,
|
||||
"provider_settings.sandbox.booter": "shipyard",
|
||||
},
|
||||
},
|
||||
"provider_settings.sandbox.shipyard_ttl": {
|
||||
"description": "Shipyard Session TTL",
|
||||
"type": "int",
|
||||
"hint": "Shipyard 会话的生存时间(秒)。",
|
||||
"condition": {
|
||||
"provider_settings.sandbox.enable": True,
|
||||
"provider_settings.sandbox.booter": "shipyard",
|
||||
},
|
||||
},
|
||||
"provider_settings.sandbox.shipyard_max_sessions": {
|
||||
"description": "Shipyard Max Sessions",
|
||||
"type": "int",
|
||||
"hint": "Shipyard 最大会话数量。",
|
||||
"condition": {
|
||||
"provider_settings.sandbox.enable": True,
|
||||
"provider_settings.sandbox.booter": "shipyard",
|
||||
},
|
||||
},
|
||||
},
|
||||
},
|
||||
"truncate_and_compress": {
|
||||
"description": "上下文管理策略",
|
||||
"type": "object",
|
||||
|
||||
@@ -2,10 +2,11 @@
|
||||
|
||||
import asyncio
|
||||
import json
|
||||
import os
|
||||
from collections.abc import AsyncGenerator
|
||||
|
||||
from astrbot.core import logger
|
||||
from astrbot.core.agent.message import Message
|
||||
from astrbot.core.agent.message import Message, TextPart
|
||||
from astrbot.core.agent.response import AgentStats
|
||||
from astrbot.core.agent.tool import ToolSet
|
||||
from astrbot.core.astr_agent_context import AstrAgentContext
|
||||
@@ -35,8 +36,15 @@ from .....astr_agent_tool_exec import FunctionToolExecutor
|
||||
from ....context import PipelineContext, call_event_hook
|
||||
from ...stage import Stage
|
||||
from ...utils import (
|
||||
CHATUI_EXTRA_PROMPT,
|
||||
EXECUTE_SHELL_TOOL,
|
||||
FILE_DOWNLOAD_TOOL,
|
||||
FILE_UPLOAD_TOOL,
|
||||
KNOWLEDGE_BASE_QUERY_TOOL,
|
||||
LLM_SAFETY_MODE_SYSTEM_PROMPT,
|
||||
PYTHON_TOOL,
|
||||
SANDBOX_MODE_PROMPT,
|
||||
TOOL_CALL_PROMPT,
|
||||
decoded_blocked,
|
||||
retrieve_knowledge_base,
|
||||
)
|
||||
@@ -94,6 +102,8 @@ class InternalAgentSubStage(Stage):
|
||||
"safety_mode_strategy", "system_prompt"
|
||||
)
|
||||
|
||||
self.sandbox_cfg = settings.get("sandbox", {})
|
||||
|
||||
self.conv_manager = ctx.plugin_manager.context.conversation_manager
|
||||
|
||||
def _select_provider(self, event: AstrMessageEvent):
|
||||
@@ -342,54 +352,45 @@ class InternalAgentSubStage(Stage):
|
||||
prov: Provider,
|
||||
):
|
||||
"""处理 WebChat 平台的特殊情况,包括第一次 LLM 对话时总结对话内容生成 title"""
|
||||
if not req.conversation:
|
||||
from astrbot.core import db_helper
|
||||
|
||||
chatui_session_id = event.session_id.split("!")[-1]
|
||||
user_prompt = req.prompt
|
||||
|
||||
session = await db_helper.get_platform_session_by_id(chatui_session_id)
|
||||
|
||||
if (
|
||||
not user_prompt
|
||||
or not chatui_session_id
|
||||
or not session
|
||||
or session.display_name
|
||||
):
|
||||
return
|
||||
conversation = await self.conv_manager.get_conversation(
|
||||
event.unified_msg_origin,
|
||||
req.conversation.cid,
|
||||
|
||||
llm_resp = await prov.text_chat(
|
||||
system_prompt=(
|
||||
"You are a conversation title generator. "
|
||||
"Generate a concise title in the same language as the user’s input, "
|
||||
"no more than 10 words, capturing only the core topic."
|
||||
"If the input is a greeting, small talk, or has no clear topic, "
|
||||
"(e.g., “hi”, “hello”, “haha”), return <None>. "
|
||||
"Output only the title itself or <None>, with no explanations."
|
||||
),
|
||||
prompt=(
|
||||
f"Generate a concise title for the following user query:\n{user_prompt}"
|
||||
),
|
||||
)
|
||||
if conversation and not req.conversation.title:
|
||||
messages = json.loads(conversation.history)
|
||||
latest_pair = messages[-2:]
|
||||
if not latest_pair:
|
||||
if llm_resp and llm_resp.completion_text:
|
||||
title = llm_resp.completion_text.strip()
|
||||
if not title or "<None>" in title:
|
||||
return
|
||||
content = latest_pair[0].get("content", "")
|
||||
if isinstance(content, list):
|
||||
# 多模态
|
||||
text_parts = []
|
||||
for item in content:
|
||||
if isinstance(item, dict):
|
||||
if item.get("type") == "text":
|
||||
text_parts.append(item.get("text", ""))
|
||||
elif item.get("type") == "image":
|
||||
text_parts.append("[图片]")
|
||||
elif isinstance(item, str):
|
||||
text_parts.append(item)
|
||||
cleaned_text = "User: " + " ".join(text_parts).strip()
|
||||
elif isinstance(content, str):
|
||||
cleaned_text = "User: " + content.strip()
|
||||
else:
|
||||
return
|
||||
logger.debug(f"WebChat 对话标题生成请求,清理后的文本: {cleaned_text}")
|
||||
llm_resp = await prov.text_chat(
|
||||
system_prompt="You are expert in summarizing user's query.",
|
||||
prompt=(
|
||||
f"Please summarize the following query of user:\n"
|
||||
f"{cleaned_text}\n"
|
||||
"Only output the summary within 10 words, DO NOT INCLUDE any other text."
|
||||
"You must use the same language as the user."
|
||||
"If you think the dialog is too short to summarize, only output a special mark: `<None>`"
|
||||
),
|
||||
logger.info(
|
||||
f"Generated chatui title for session {chatui_session_id}: {title}"
|
||||
)
|
||||
await db_helper.update_platform_session(
|
||||
session_id=chatui_session_id,
|
||||
display_name=title,
|
||||
)
|
||||
if llm_resp and llm_resp.completion_text:
|
||||
title = llm_resp.completion_text.strip()
|
||||
if not title or "<None>" in title:
|
||||
return
|
||||
await self.conv_manager.update_conversation_title(
|
||||
unified_msg_origin=event.unified_msg_origin,
|
||||
title=title,
|
||||
conversation_id=req.conversation.cid,
|
||||
)
|
||||
|
||||
async def _save_to_history(
|
||||
self,
|
||||
@@ -467,6 +468,24 @@ class InternalAgentSubStage(Stage):
|
||||
f"Unsupported llm_safety_mode strategy: {self.safety_mode_strategy}.",
|
||||
)
|
||||
|
||||
def _apply_sandbox_tools(self, req: ProviderRequest, session_id: str) -> None:
|
||||
"""Add sandbox tools to the provider request."""
|
||||
if req.func_tool is None:
|
||||
req.func_tool = ToolSet()
|
||||
if self.sandbox_cfg.get("booter") == "shipyard":
|
||||
ep = self.sandbox_cfg.get("shipyard_endpoint", "")
|
||||
at = self.sandbox_cfg.get("shipyard_access_token", "")
|
||||
if not ep or not at:
|
||||
logger.error("Shipyard sandbox configuration is incomplete.")
|
||||
return
|
||||
os.environ["SHIPYARD_ENDPOINT"] = ep
|
||||
os.environ["SHIPYARD_ACCESS_TOKEN"] = at
|
||||
req.func_tool.add_tool(EXECUTE_SHELL_TOOL)
|
||||
req.func_tool.add_tool(PYTHON_TOOL)
|
||||
req.func_tool.add_tool(FILE_UPLOAD_TOOL)
|
||||
req.func_tool.add_tool(FILE_DOWNLOAD_TOOL)
|
||||
req.system_prompt += f"\n{SANDBOX_MODE_PROMPT}\n"
|
||||
|
||||
async def process(
|
||||
self, event: AstrMessageEvent, provider_wake_prefix: str
|
||||
) -> AsyncGenerator[None, None]:
|
||||
@@ -545,6 +564,20 @@ class InternalAgentSubStage(Stage):
|
||||
image_path = await comp.convert_to_file_path()
|
||||
req.image_urls.append(image_path)
|
||||
|
||||
req.extra_user_content_parts.append(
|
||||
TextPart(text=f"[Image Attachment: path {image_path}]")
|
||||
)
|
||||
elif isinstance(comp, File) and self.sandbox_cfg.get(
|
||||
"enable", False
|
||||
):
|
||||
file_path = await comp.get_file()
|
||||
file_name = comp.name or os.path.basename(file_path)
|
||||
req.extra_user_content_parts.append(
|
||||
TextPart(
|
||||
text=f"[File Attachment: name {file_name}, path {file_path}]"
|
||||
)
|
||||
)
|
||||
|
||||
conversation = await self._get_session_conv(event)
|
||||
req.conversation = conversation
|
||||
req.contexts = json.loads(conversation.history)
|
||||
@@ -595,6 +628,10 @@ class InternalAgentSubStage(Stage):
|
||||
if self.llm_safety_mode:
|
||||
self._apply_llm_safety_mode(req)
|
||||
|
||||
# apply sandbox tools
|
||||
if self.sandbox_cfg.get("enable", False):
|
||||
self._apply_sandbox_tools(req, req.session_id)
|
||||
|
||||
stream_to_general = (
|
||||
self.unsupported_streaming_strategy == "turn_off"
|
||||
and not event.platform_meta.support_streaming_message
|
||||
@@ -618,6 +655,18 @@ class InternalAgentSubStage(Stage):
|
||||
"limit"
|
||||
]["context"]
|
||||
|
||||
# ChatUI 对话的标题生成
|
||||
if event.get_platform_name() == "webchat":
|
||||
asyncio.create_task(self._handle_webchat(event, req, provider))
|
||||
|
||||
# 注入 ChatUI 额外 prompt
|
||||
# 比如 follow-up questions 提示等
|
||||
req.system_prompt += f"\n{CHATUI_EXTRA_PROMPT}\n"
|
||||
|
||||
# 注入基本 prompt
|
||||
if req.func_tool and req.func_tool.tools:
|
||||
req.system_prompt += f"\n{TOOL_CALL_PROMPT}\n"
|
||||
|
||||
await agent_runner.reset(
|
||||
provider=provider,
|
||||
request=req,
|
||||
@@ -688,10 +737,6 @@ class InternalAgentSubStage(Stage):
|
||||
agent_runner.stats,
|
||||
)
|
||||
|
||||
# 异步处理 WebChat 特殊情况
|
||||
if event.get_platform_name() == "webchat":
|
||||
asyncio.create_task(self._handle_webchat(event, req, provider))
|
||||
|
||||
asyncio.create_task(
|
||||
Metric.upload(
|
||||
llm_tick=1,
|
||||
|
||||
@@ -7,6 +7,12 @@ from astrbot.api import logger, sp
|
||||
from astrbot.core.agent.run_context import ContextWrapper
|
||||
from astrbot.core.agent.tool import FunctionTool, ToolExecResult
|
||||
from astrbot.core.astr_agent_context import AstrAgentContext
|
||||
from astrbot.core.sandbox.tools import (
|
||||
ExecuteShellTool,
|
||||
FileDownloadTool,
|
||||
FileUploadTool,
|
||||
PythonTool,
|
||||
)
|
||||
from astrbot.core.star.context import Context
|
||||
|
||||
LLM_SAFETY_MODE_SYSTEM_PROMPT = """You are running in Safe Mode.
|
||||
@@ -21,6 +27,28 @@ Rules:
|
||||
- Output same language as the user's input.
|
||||
"""
|
||||
|
||||
SANDBOX_MODE_PROMPT = (
|
||||
"You have access to a sandboxed environment and can execute shell commands and Python code securely."
|
||||
# "Your have extended skills library, such as PDF processing, image generation, data analysis, etc. "
|
||||
# "Before handling complex tasks, please retrieve and review the documentation in the in /app/skills/ directory. "
|
||||
# "If the current task matches the description of a specific skill, prioritize following the workflow defined by that skill."
|
||||
# "Use `ls /app/skills/` to list all available skills. "
|
||||
# "Use `cat /app/skills/{skill_name}/SKILL.md` to read the documentation of a specific skill."
|
||||
# "SKILL.md might be large, you can read the description first, which is located in the YAML frontmatter of the file."
|
||||
# "Use shell commands such as grep, sed, awk to extract relevant information from the documentation as needed.\n"
|
||||
)
|
||||
|
||||
TOOL_CALL_PROMPT = (
|
||||
"You MUST NOT return an empty response, especially after invoking a tool."
|
||||
"Before calling any tool, provide a brief explanatory message to the user stating the purpose of the tool call."
|
||||
"After the tool call is completed, you must briefly summarize the results returned by the tool for the user."
|
||||
)
|
||||
|
||||
CHATUI_EXTRA_PROMPT = (
|
||||
'When you answered, you need to add a follow up question / summarization but do not add "Follow up" words. '
|
||||
"Such as, user asked you to generate codes, you can add: Do you need me to run these codes for you?"
|
||||
)
|
||||
|
||||
|
||||
@dataclass
|
||||
class KnowledgeBaseQueryTool(FunctionTool[AstrAgentContext]):
|
||||
@@ -138,6 +166,11 @@ async def retrieve_knowledge_base(
|
||||
|
||||
KNOWLEDGE_BASE_QUERY_TOOL = KnowledgeBaseQueryTool()
|
||||
|
||||
EXECUTE_SHELL_TOOL = ExecuteShellTool()
|
||||
PYTHON_TOOL = PythonTool()
|
||||
FILE_UPLOAD_TOOL = FileUploadTool()
|
||||
FILE_DOWNLOAD_TOOL = FileDownloadTool()
|
||||
|
||||
# we prevent astrbot from connecting to known malicious hosts
|
||||
# these hosts are base64 encoded
|
||||
BLOCKED = {"dGZid2h2d3IuY2xvdWQuc2VhbG9zLmlv", "a291cmljaGF0"}
|
||||
|
||||
@@ -370,6 +370,8 @@ class DiscordPlatformAdapter(Platform):
|
||||
for handler_md in star_handlers_registry:
|
||||
if not star_map[handler_md.handler_module_path].activated:
|
||||
continue
|
||||
if not handler_md.enabled:
|
||||
continue
|
||||
for event_filter in handler_md.event_filters:
|
||||
cmd_info = self._extract_command_info(event_filter, handler_md)
|
||||
if not cmd_info:
|
||||
|
||||
@@ -161,6 +161,8 @@ class TelegramPlatformAdapter(Platform):
|
||||
handler_metadata = handler_md
|
||||
if not star_map[handler_metadata.handler_module_path].activated:
|
||||
continue
|
||||
if not handler_metadata.enabled:
|
||||
continue
|
||||
for event_filter in handler_metadata.event_filters:
|
||||
cmd_info = self._extract_command_info(
|
||||
event_filter,
|
||||
|
||||
@@ -93,7 +93,8 @@ class WebChatAdapter(Platform):
|
||||
session: MessageSesion,
|
||||
message_chain: MessageChain,
|
||||
):
|
||||
await WebChatMessageEvent._send(message_chain, session.session_id)
|
||||
message_id = f"active_{str(uuid.uuid4())}"
|
||||
await WebChatMessageEvent._send(message_id, message_chain, session.session_id)
|
||||
await super().send_by_session(session, message_chain)
|
||||
|
||||
async def _get_message_history(
|
||||
@@ -196,7 +197,7 @@ class WebChatAdapter(Platform):
|
||||
|
||||
abm.session_id = f"webchat!{username}!{cid}"
|
||||
|
||||
abm.message_id = str(uuid.uuid4())
|
||||
abm.message_id = payload.get("message_id")
|
||||
|
||||
# 处理消息段列表
|
||||
message_parts = payload.get("message", [])
|
||||
|
||||
@@ -21,7 +21,10 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
|
||||
@staticmethod
|
||||
async def _send(
|
||||
message: MessageChain | None, session_id: str, streaming: bool = False
|
||||
message_id: str,
|
||||
message: MessageChain | None,
|
||||
session_id: str,
|
||||
streaming: bool = False,
|
||||
) -> str | None:
|
||||
cid = session_id.split("!")[-1]
|
||||
web_chat_back_queue = webchat_queue_mgr.get_or_create_back_queue(cid)
|
||||
@@ -31,6 +34,7 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
"type": "end",
|
||||
"data": "",
|
||||
"streaming": False,
|
||||
"message_id": message_id,
|
||||
}, # end means this request is finished
|
||||
)
|
||||
return
|
||||
@@ -45,6 +49,7 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
"data": data,
|
||||
"streaming": streaming,
|
||||
"chain_type": message.type,
|
||||
"message_id": message_id,
|
||||
},
|
||||
)
|
||||
elif isinstance(comp, Json):
|
||||
@@ -54,6 +59,7 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
"data": json.dumps(comp.data, ensure_ascii=False),
|
||||
"streaming": streaming,
|
||||
"chain_type": message.type,
|
||||
"message_id": message_id,
|
||||
},
|
||||
)
|
||||
elif isinstance(comp, Image):
|
||||
@@ -69,6 +75,7 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
"type": "image",
|
||||
"data": data,
|
||||
"streaming": streaming,
|
||||
"message_id": message_id,
|
||||
},
|
||||
)
|
||||
elif isinstance(comp, Record):
|
||||
@@ -84,6 +91,7 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
"type": "record",
|
||||
"data": data,
|
||||
"streaming": streaming,
|
||||
"message_id": message_id,
|
||||
},
|
||||
)
|
||||
elif isinstance(comp, File):
|
||||
@@ -94,12 +102,13 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
filename = f"{uuid.uuid4()!s}{ext}"
|
||||
dest_path = os.path.join(imgs_dir, filename)
|
||||
shutil.copy2(file_path, dest_path)
|
||||
data = f"[FILE]{filename}|{original_name}"
|
||||
data = f"[FILE]{filename}"
|
||||
await web_chat_back_queue.put(
|
||||
{
|
||||
"type": "file",
|
||||
"data": data,
|
||||
"streaming": streaming,
|
||||
"message_id": message_id,
|
||||
},
|
||||
)
|
||||
else:
|
||||
@@ -108,7 +117,8 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
return data
|
||||
|
||||
async def send(self, message: MessageChain | None):
|
||||
await WebChatMessageEvent._send(message, session_id=self.session_id)
|
||||
message_id = self.message_obj.message_id
|
||||
await WebChatMessageEvent._send(message_id, message, session_id=self.session_id)
|
||||
await super().send(MessageChain([]))
|
||||
|
||||
async def send_streaming(self, generator, use_fallback: bool = False):
|
||||
@@ -116,6 +126,7 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
reasoning_content = ""
|
||||
cid = self.session_id.split("!")[-1]
|
||||
web_chat_back_queue = webchat_queue_mgr.get_or_create_back_queue(cid)
|
||||
message_id = self.message_obj.message_id
|
||||
async for chain in generator:
|
||||
# if chain.type == "break" and final_data:
|
||||
# # 分割符
|
||||
@@ -130,7 +141,8 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
# continue
|
||||
|
||||
r = await WebChatMessageEvent._send(
|
||||
chain,
|
||||
message_id=message_id,
|
||||
message=chain,
|
||||
session_id=self.session_id,
|
||||
streaming=True,
|
||||
)
|
||||
@@ -147,6 +159,7 @@ class WebChatMessageEvent(AstrMessageEvent):
|
||||
"data": final_data,
|
||||
"reasoning": reasoning_content,
|
||||
"streaming": True,
|
||||
"message_id": message_id,
|
||||
},
|
||||
)
|
||||
await super().send_streaming(generator, use_fallback)
|
||||
|
||||
@@ -0,0 +1,31 @@
|
||||
from ..olayer import FileSystemComponent, PythonComponent, ShellComponent
|
||||
|
||||
|
||||
class SandboxBooter:
|
||||
@property
|
||||
def fs(self) -> FileSystemComponent: ...
|
||||
|
||||
@property
|
||||
def python(self) -> PythonComponent: ...
|
||||
|
||||
@property
|
||||
def shell(self) -> ShellComponent: ...
|
||||
|
||||
async def boot(self, session_id: str) -> None: ...
|
||||
|
||||
async def shutdown(self) -> None: ...
|
||||
|
||||
async def upload_file(self, path: str, file_name: str) -> dict:
|
||||
"""Upload file to sandbox.
|
||||
|
||||
Should return a dict with `success` (bool) and `file_path` (str) keys.
|
||||
"""
|
||||
...
|
||||
|
||||
async def download_file(self, remote_path: str, local_path: str):
|
||||
"""Download file from sandbox."""
|
||||
...
|
||||
|
||||
async def available(self) -> bool:
|
||||
"""Check if the sandbox is available."""
|
||||
...
|
||||
@@ -0,0 +1,186 @@
|
||||
import asyncio
|
||||
import random
|
||||
from typing import Any
|
||||
|
||||
import aiohttp
|
||||
import boxlite
|
||||
from shipyard.filesystem import FileSystemComponent as ShipyardFileSystemComponent
|
||||
from shipyard.python import PythonComponent as ShipyardPythonComponent
|
||||
from shipyard.shell import ShellComponent as ShipyardShellComponent
|
||||
|
||||
from astrbot.api import logger
|
||||
|
||||
from ..olayer import FileSystemComponent, PythonComponent, ShellComponent
|
||||
from .base import SandboxBooter
|
||||
|
||||
|
||||
class MockShipyardSandboxClient:
|
||||
def __init__(self, sb_url: str) -> None:
|
||||
self.sb_url = sb_url.rstrip("/")
|
||||
|
||||
async def _exec_operation(
|
||||
self,
|
||||
ship_id: str,
|
||||
operation_type: str,
|
||||
payload: dict[str, Any],
|
||||
session_id: str,
|
||||
) -> dict[str, Any]:
|
||||
async with aiohttp.ClientSession() as session:
|
||||
headers = {"X-SESSION-ID": session_id}
|
||||
async with session.post(
|
||||
f"{self.sb_url}/{operation_type}",
|
||||
json=payload,
|
||||
headers=headers,
|
||||
) as response:
|
||||
if response.status == 200:
|
||||
return await response.json()
|
||||
else:
|
||||
error_text = await response.text()
|
||||
raise Exception(
|
||||
f"Failed to exec operation: {response.status} {error_text}"
|
||||
)
|
||||
|
||||
async def upload_file(self, path: str, remote_path: str) -> dict:
|
||||
"""Upload a file to the sandbox"""
|
||||
url = f"http://{self.sb_url}/upload"
|
||||
|
||||
try:
|
||||
# Read file content
|
||||
with open(path, "rb") as f:
|
||||
file_content = f.read()
|
||||
|
||||
# Create multipart form data
|
||||
data = aiohttp.FormData()
|
||||
data.add_field(
|
||||
"file",
|
||||
file_content,
|
||||
filename=remote_path.split("/")[-1],
|
||||
content_type="application/octet-stream",
|
||||
)
|
||||
data.add_field("file_path", remote_path)
|
||||
|
||||
timeout = aiohttp.ClientTimeout(total=120) # 2 minutes for file upload
|
||||
|
||||
async with aiohttp.ClientSession(timeout=timeout) as session:
|
||||
async with session.post(url, data=data) as response:
|
||||
if response.status == 200:
|
||||
return {
|
||||
"success": True,
|
||||
"message": "File uploaded successfully",
|
||||
"file_path": remote_path,
|
||||
}
|
||||
else:
|
||||
error_text = await response.text()
|
||||
return {
|
||||
"success": False,
|
||||
"error": f"Server returned {response.status}: {error_text}",
|
||||
"message": "File upload failed",
|
||||
}
|
||||
|
||||
except aiohttp.ClientError as e:
|
||||
logger.error(f"Failed to upload file: {e}")
|
||||
return {
|
||||
"success": False,
|
||||
"error": f"Connection error: {str(e)}",
|
||||
"message": "File upload failed",
|
||||
}
|
||||
except asyncio.TimeoutError:
|
||||
return {
|
||||
"success": False,
|
||||
"error": "File upload timeout",
|
||||
"message": "File upload failed",
|
||||
}
|
||||
except FileNotFoundError:
|
||||
logger.error(f"File not found: {path}")
|
||||
return {
|
||||
"success": False,
|
||||
"error": f"File not found: {path}",
|
||||
"message": "File upload failed",
|
||||
}
|
||||
except Exception as e:
|
||||
logger.error(f"Unexpected error uploading file: {e}")
|
||||
return {
|
||||
"success": False,
|
||||
"error": f"Internal error: {str(e)}",
|
||||
"message": "File upload failed",
|
||||
}
|
||||
|
||||
async def wait_healthy(self, ship_id: str, session_id: str) -> None:
|
||||
"""Mock wait healthy"""
|
||||
loop = 60
|
||||
while loop > 0:
|
||||
try:
|
||||
logger.info(
|
||||
f"Checking health for sandbox {ship_id} on {self.sb_url}..."
|
||||
)
|
||||
url = f"{self.sb_url}/health"
|
||||
async with aiohttp.ClientSession() as session:
|
||||
async with session.get(url) as response:
|
||||
if response.status == 200:
|
||||
logger.info(f"Sandbox {ship_id} is healthy")
|
||||
return
|
||||
except Exception:
|
||||
await asyncio.sleep(1)
|
||||
loop -= 1
|
||||
|
||||
|
||||
class BoxliteBooter(SandboxBooter):
|
||||
async def boot(self, session_id: str) -> None:
|
||||
logger.info(
|
||||
f"Booting(Boxlite) for session: {session_id}, this may take a while..."
|
||||
)
|
||||
random_port = random.randint(20000, 30000)
|
||||
self.box = boxlite.SimpleBox(
|
||||
image="soulter/shipyard-ship",
|
||||
memory_mib=512,
|
||||
cpus=1,
|
||||
ports=[
|
||||
{
|
||||
"host_port": random_port,
|
||||
"guest_port": 8123,
|
||||
}
|
||||
],
|
||||
)
|
||||
await self.box.start()
|
||||
logger.info(f"Boxlite booter started for session: {session_id}")
|
||||
self.mocked = MockShipyardSandboxClient(
|
||||
sb_url=f"http://127.0.0.1:{random_port}"
|
||||
)
|
||||
self._fs = ShipyardFileSystemComponent(
|
||||
client=self.mocked, # type: ignore
|
||||
ship_id=self.box.id,
|
||||
session_id=session_id,
|
||||
)
|
||||
self._python = ShipyardPythonComponent(
|
||||
client=self.mocked, # type: ignore
|
||||
ship_id=self.box.id,
|
||||
session_id=session_id,
|
||||
)
|
||||
self._shell = ShipyardShellComponent(
|
||||
client=self.mocked, # type: ignore
|
||||
ship_id=self.box.id,
|
||||
session_id=session_id,
|
||||
)
|
||||
|
||||
await self.mocked.wait_healthy(self.box.id, session_id)
|
||||
|
||||
async def shutdown(self) -> None:
|
||||
logger.info(f"Shutting down Boxlite booter for ship: {self.box.id}")
|
||||
self.box.shutdown()
|
||||
logger.info(f"Boxlite booter for ship: {self.box.id} stopped")
|
||||
|
||||
@property
|
||||
def fs(self) -> FileSystemComponent:
|
||||
return self._fs
|
||||
|
||||
@property
|
||||
def python(self) -> PythonComponent:
|
||||
return self._python
|
||||
|
||||
@property
|
||||
def shell(self) -> ShellComponent:
|
||||
return self._shell
|
||||
|
||||
async def upload_file(self, path: str, file_name: str) -> dict:
|
||||
"""Upload file to sandbox"""
|
||||
return await self.mocked.upload_file(path, file_name)
|
||||
@@ -0,0 +1,67 @@
|
||||
from shipyard import ShipyardClient, Spec
|
||||
|
||||
from astrbot.api import logger
|
||||
|
||||
from ..olayer import FileSystemComponent, PythonComponent, ShellComponent
|
||||
from .base import SandboxBooter
|
||||
|
||||
|
||||
class ShipyardBooter(SandboxBooter):
|
||||
def __init__(
|
||||
self,
|
||||
endpoint_url: str,
|
||||
access_token: str,
|
||||
ttl: int = 3600,
|
||||
session_num: int = 10,
|
||||
) -> None:
|
||||
self._sandbox_client = ShipyardClient(
|
||||
endpoint_url=endpoint_url, access_token=access_token
|
||||
)
|
||||
self._ttl = ttl
|
||||
self._session_num = session_num
|
||||
|
||||
async def boot(self, session_id: str) -> None:
|
||||
ship = await self._sandbox_client.create_ship(
|
||||
ttl=self._ttl,
|
||||
spec=Spec(cpus=1.0, memory="512m"),
|
||||
max_session_num=self._session_num,
|
||||
session_id=session_id,
|
||||
)
|
||||
logger.info(f"Got sandbox ship: {ship.id} for session: {session_id}")
|
||||
self._ship = ship
|
||||
|
||||
async def shutdown(self) -> None:
|
||||
pass
|
||||
|
||||
@property
|
||||
def fs(self) -> FileSystemComponent:
|
||||
return self._ship.fs
|
||||
|
||||
@property
|
||||
def python(self) -> PythonComponent:
|
||||
return self._ship.python
|
||||
|
||||
@property
|
||||
def shell(self) -> ShellComponent:
|
||||
return self._ship.shell
|
||||
|
||||
async def upload_file(self, path: str, file_name: str) -> dict:
|
||||
"""Upload file to sandbox"""
|
||||
return await self._ship.upload_file(path, file_name)
|
||||
|
||||
async def download_file(self, remote_path: str, local_path: str):
|
||||
"""Download file from sandbox."""
|
||||
return await self._ship.download_file(remote_path, local_path)
|
||||
|
||||
async def available(self) -> bool:
|
||||
"""Check if the sandbox is available."""
|
||||
try:
|
||||
ship_id = self._ship.id
|
||||
data = await self._sandbox_client.get_ship(ship_id)
|
||||
if not data:
|
||||
return False
|
||||
health = bool(data.get("status", 0) == 1)
|
||||
return health
|
||||
except Exception as e:
|
||||
logger.error(f"Error checking Shipyard sandbox availability: {e}")
|
||||
return False
|
||||
@@ -0,0 +1,5 @@
|
||||
from .filesystem import FileSystemComponent
|
||||
from .python import PythonComponent
|
||||
from .shell import ShellComponent
|
||||
|
||||
__all__ = ["PythonComponent", "ShellComponent", "FileSystemComponent"]
|
||||
@@ -0,0 +1,33 @@
|
||||
"""
|
||||
File system component
|
||||
"""
|
||||
|
||||
from typing import Any, Protocol
|
||||
|
||||
|
||||
class FileSystemComponent(Protocol):
|
||||
async def create_file(
|
||||
self, path: str, content: str = "", mode: int = 0o644
|
||||
) -> dict[str, Any]:
|
||||
"""Create a file with the specified content"""
|
||||
...
|
||||
|
||||
async def read_file(self, path: str, encoding: str = "utf-8") -> dict[str, Any]:
|
||||
"""Read file content"""
|
||||
...
|
||||
|
||||
async def write_file(
|
||||
self, path: str, content: str, mode: str = "w", encoding: str = "utf-8"
|
||||
) -> dict[str, Any]:
|
||||
"""Write content to file"""
|
||||
...
|
||||
|
||||
async def delete_file(self, path: str) -> dict[str, Any]:
|
||||
"""Delete file or directory"""
|
||||
...
|
||||
|
||||
async def list_dir(
|
||||
self, path: str = ".", show_hidden: bool = False
|
||||
) -> dict[str, Any]:
|
||||
"""List directory contents"""
|
||||
...
|
||||
@@ -0,0 +1,19 @@
|
||||
"""
|
||||
Python/IPython component
|
||||
"""
|
||||
|
||||
from typing import Any, Protocol
|
||||
|
||||
|
||||
class PythonComponent(Protocol):
|
||||
"""Python/IPython operations component"""
|
||||
|
||||
async def exec(
|
||||
self,
|
||||
code: str,
|
||||
kernel_id: str | None = None,
|
||||
timeout: int = 30,
|
||||
silent: bool = False,
|
||||
) -> dict[str, Any]:
|
||||
"""Execute Python code"""
|
||||
...
|
||||
@@ -0,0 +1,21 @@
|
||||
"""
|
||||
Shell component
|
||||
"""
|
||||
|
||||
from typing import Any, Protocol
|
||||
|
||||
|
||||
class ShellComponent(Protocol):
|
||||
"""Shell operations component"""
|
||||
|
||||
async def exec(
|
||||
self,
|
||||
command: str,
|
||||
cwd: str | None = None,
|
||||
env: dict[str, str] | None = None,
|
||||
timeout: int | None = 30,
|
||||
shell: bool = True,
|
||||
background: bool = False,
|
||||
) -> dict[str, Any]:
|
||||
"""Execute shell command"""
|
||||
...
|
||||
@@ -0,0 +1,52 @@
|
||||
import uuid
|
||||
|
||||
from astrbot.api import logger
|
||||
from astrbot.core.star.context import Context
|
||||
|
||||
from .booters.base import SandboxBooter
|
||||
|
||||
session_booter: dict[str, SandboxBooter] = {}
|
||||
|
||||
|
||||
async def get_booter(
|
||||
context: Context,
|
||||
session_id: str,
|
||||
) -> SandboxBooter:
|
||||
config = context.get_config(umo=session_id)
|
||||
|
||||
sandbox_cfg = config.get("provider_settings", {}).get("sandbox", {})
|
||||
booter_type = sandbox_cfg.get("booter", "shipyard")
|
||||
|
||||
if session_id in session_booter:
|
||||
booter = session_booter[session_id]
|
||||
if not await booter.available():
|
||||
# rebuild
|
||||
session_booter.pop(session_id, None)
|
||||
if session_id not in session_booter:
|
||||
uuid_str = uuid.uuid5(uuid.NAMESPACE_DNS, session_id).hex
|
||||
if booter_type == "shipyard":
|
||||
from .booters.shipyard import ShipyardBooter
|
||||
|
||||
ep = sandbox_cfg.get("shipyard_endpoint", "")
|
||||
token = sandbox_cfg.get("shipyard_access_token", "")
|
||||
ttl = sandbox_cfg.get("shipyard_ttl", 3600)
|
||||
max_sessions = sandbox_cfg.get("shipyard_max_sessions", 10)
|
||||
|
||||
client = ShipyardBooter(
|
||||
endpoint_url=ep, access_token=token, ttl=ttl, session_num=max_sessions
|
||||
)
|
||||
elif booter_type == "boxlite":
|
||||
from .booters.boxlite import BoxliteBooter
|
||||
|
||||
client = BoxliteBooter()
|
||||
else:
|
||||
raise ValueError(f"Unknown booter type: {booter_type}")
|
||||
|
||||
try:
|
||||
await client.boot(uuid_str)
|
||||
except Exception as e:
|
||||
logger.error(f"Error booting sandbox for session {session_id}: {e}")
|
||||
raise e
|
||||
|
||||
session_booter[session_id] = client
|
||||
return session_booter[session_id]
|
||||
@@ -0,0 +1,10 @@
|
||||
from .fs import FileDownloadTool, FileUploadTool
|
||||
from .python import PythonTool
|
||||
from .shell import ExecuteShellTool
|
||||
|
||||
__all__ = [
|
||||
"FileUploadTool",
|
||||
"PythonTool",
|
||||
"ExecuteShellTool",
|
||||
"FileDownloadTool",
|
||||
]
|
||||
@@ -0,0 +1,188 @@
|
||||
import os
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
from astrbot.api import FunctionTool, logger
|
||||
from astrbot.api.event import MessageChain
|
||||
from astrbot.core.agent.run_context import ContextWrapper
|
||||
from astrbot.core.agent.tool import ToolExecResult
|
||||
from astrbot.core.astr_agent_context import AstrAgentContext
|
||||
from astrbot.core.message.components import File
|
||||
from astrbot.core.utils.astrbot_path import get_astrbot_temp_path
|
||||
|
||||
from ..sandbox_client import get_booter
|
||||
|
||||
# @dataclass
|
||||
# class CreateFileTool(FunctionTool):
|
||||
# name: str = "astrbot_create_file"
|
||||
# description: str = "Create a new file in the sandbox."
|
||||
# parameters: dict = field(
|
||||
# default_factory=lambda: {
|
||||
# "type": "object",
|
||||
# "properties": {
|
||||
# "path": {
|
||||
# "path": "string",
|
||||
# "description": "The path where the file should be created, relative to the sandbox root. Must not use absolute paths or traverse outside the sandbox.",
|
||||
# },
|
||||
# "content": {
|
||||
# "type": "string",
|
||||
# "description": "The content to write into the file.",
|
||||
# },
|
||||
# },
|
||||
# "required": ["path", "content"],
|
||||
# }
|
||||
# )
|
||||
|
||||
# async def call(
|
||||
# self, context: ContextWrapper[AstrAgentContext], path: str, content: str
|
||||
# ) -> ToolExecResult:
|
||||
# sb = await get_booter(
|
||||
# context.context.context,
|
||||
# context.context.event.unified_msg_origin,
|
||||
# )
|
||||
# try:
|
||||
# result = await sb.fs.create_file(path, content)
|
||||
# return json.dumps(result)
|
||||
# except Exception as e:
|
||||
# return f"Error creating file: {str(e)}"
|
||||
|
||||
|
||||
# @dataclass
|
||||
# class ReadFileTool(FunctionTool):
|
||||
# name: str = "astrbot_read_file"
|
||||
# description: str = "Read the content of a file in the sandbox."
|
||||
# parameters: dict = field(
|
||||
# default_factory=lambda: {
|
||||
# "type": "object",
|
||||
# "properties": {
|
||||
# "path": {
|
||||
# "type": "string",
|
||||
# "description": "The path of the file to read, relative to the sandbox root. Must not use absolute paths or traverse outside the sandbox.",
|
||||
# },
|
||||
# },
|
||||
# "required": ["path"],
|
||||
# }
|
||||
# )
|
||||
|
||||
# async def call(self, context: ContextWrapper[AstrAgentContext], path: str):
|
||||
# sb = await get_booter(
|
||||
# context.context.context,
|
||||
# context.context.event.unified_msg_origin,
|
||||
# )
|
||||
# try:
|
||||
# result = await sb.fs.read_file(path)
|
||||
# return result
|
||||
# except Exception as e:
|
||||
# return f"Error reading file: {str(e)}"
|
||||
|
||||
|
||||
@dataclass
|
||||
class FileUploadTool(FunctionTool):
|
||||
name: str = "astrbot_upload_file"
|
||||
description: str = "Upload a local file to the sandbox. The file must exist on the local filesystem."
|
||||
parameters: dict = field(
|
||||
default_factory=lambda: {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"local_path": {
|
||||
"type": "string",
|
||||
"description": "The local file path to upload. This must be an absolute path to an existing file on the local filesystem.",
|
||||
},
|
||||
# "remote_path": {
|
||||
# "type": "string",
|
||||
# "description": "The filename to use in the sandbox. If not provided, file will be saved to the working directory with the same name as the local file.",
|
||||
# },
|
||||
},
|
||||
"required": ["local_path"],
|
||||
}
|
||||
)
|
||||
|
||||
async def call(
|
||||
self,
|
||||
context: ContextWrapper[AstrAgentContext],
|
||||
local_path: str,
|
||||
):
|
||||
sb = await get_booter(
|
||||
context.context.context,
|
||||
context.context.event.unified_msg_origin,
|
||||
)
|
||||
try:
|
||||
# Check if file exists
|
||||
if not os.path.exists(local_path):
|
||||
return f"Error: File does not exist: {local_path}"
|
||||
|
||||
if not os.path.isfile(local_path):
|
||||
return f"Error: Path is not a file: {local_path}"
|
||||
|
||||
# Use basename if sandbox_filename is not provided
|
||||
remote_path = os.path.basename(local_path)
|
||||
|
||||
# Upload file to sandbox
|
||||
result = await sb.upload_file(local_path, remote_path)
|
||||
logger.debug(f"Upload result: {result}")
|
||||
success = result.get("success", False)
|
||||
|
||||
if not success:
|
||||
return f"Error uploading file: {result.get('message', 'Unknown error')}"
|
||||
|
||||
file_path = result.get("file_path", "")
|
||||
logger.info(f"File {local_path} uploaded to sandbox at {file_path}")
|
||||
|
||||
return f"File uploaded successfully to {file_path}"
|
||||
except Exception as e:
|
||||
logger.error(f"Error uploading file {local_path}: {e}")
|
||||
return f"Error uploading file: {str(e)}"
|
||||
|
||||
|
||||
@dataclass
|
||||
class FileDownloadTool(FunctionTool):
|
||||
name: str = "astrbot_download_file"
|
||||
description: str = "Download a file from the sandbox. Only call this when user explicitly need you to download a file."
|
||||
parameters: dict = field(
|
||||
default_factory=lambda: {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"remote_path": {
|
||||
"type": "string",
|
||||
"description": "The path of the file in the sandbox to download.",
|
||||
}
|
||||
},
|
||||
"required": ["remote_path"],
|
||||
}
|
||||
)
|
||||
|
||||
async def call(
|
||||
self,
|
||||
context: ContextWrapper[AstrAgentContext],
|
||||
remote_path: str,
|
||||
) -> ToolExecResult:
|
||||
sb = await get_booter(
|
||||
context.context.context,
|
||||
context.context.event.unified_msg_origin,
|
||||
)
|
||||
try:
|
||||
name = os.path.basename(remote_path)
|
||||
|
||||
local_path = os.path.join(get_astrbot_temp_path(), name)
|
||||
|
||||
# Download file from sandbox
|
||||
await sb.download_file(remote_path, local_path)
|
||||
logger.info(f"File {remote_path} downloaded from sandbox to {local_path}")
|
||||
|
||||
try:
|
||||
name = os.path.basename(local_path)
|
||||
await context.context.event.send(
|
||||
MessageChain(chain=[File(name=name, file=local_path)])
|
||||
)
|
||||
except Exception as e:
|
||||
logger.error(f"Error sending file message: {e}")
|
||||
|
||||
# remove
|
||||
try:
|
||||
os.remove(local_path)
|
||||
except Exception as e:
|
||||
logger.error(f"Error removing temp file {local_path}: {e}")
|
||||
|
||||
return f"File downloaded successfully to {local_path}"
|
||||
except Exception as e:
|
||||
logger.error(f"Error downloading file {remote_path}: {e}")
|
||||
return f"Error downloading file: {str(e)}"
|
||||
@@ -0,0 +1,74 @@
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
import mcp
|
||||
|
||||
from astrbot.api import FunctionTool
|
||||
from astrbot.core.agent.run_context import ContextWrapper
|
||||
from astrbot.core.agent.tool import ToolExecResult
|
||||
from astrbot.core.astr_agent_context import AstrAgentContext
|
||||
from astrbot.core.sandbox.sandbox_client import get_booter
|
||||
|
||||
|
||||
@dataclass
|
||||
class PythonTool(FunctionTool):
|
||||
name: str = "astrbot_execute_ipython"
|
||||
description: str = "Execute a command in an IPython shell."
|
||||
parameters: dict = field(
|
||||
default_factory=lambda: {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"code": {
|
||||
"type": "string",
|
||||
"description": "The Python code to execute.",
|
||||
},
|
||||
"silent": {
|
||||
"type": "boolean",
|
||||
"description": "Whether to suppress the output of the code execution.",
|
||||
"default": False,
|
||||
},
|
||||
},
|
||||
"required": ["code"],
|
||||
}
|
||||
)
|
||||
|
||||
async def call(
|
||||
self, context: ContextWrapper[AstrAgentContext], code: str, silent: bool = False
|
||||
) -> ToolExecResult:
|
||||
sb = await get_booter(
|
||||
context.context.context,
|
||||
context.context.event.unified_msg_origin,
|
||||
)
|
||||
try:
|
||||
result = await sb.python.exec(code, silent=silent)
|
||||
data = result.get("data", {})
|
||||
output = data.get("output", {})
|
||||
error = data.get("error", "")
|
||||
images: list[dict] = output.get("images", [])
|
||||
text: str = output.get("text", "")
|
||||
|
||||
resp = mcp.types.CallToolResult(content=[])
|
||||
|
||||
if error:
|
||||
resp.content.append(
|
||||
mcp.types.TextContent(type="text", text=f"error: {error}")
|
||||
)
|
||||
|
||||
if images:
|
||||
for img in images:
|
||||
resp.content.append(
|
||||
mcp.types.ImageContent(
|
||||
type="image", data=img["image/png"], mimeType="image/png"
|
||||
)
|
||||
)
|
||||
if text:
|
||||
resp.content.append(mcp.types.TextContent(type="text", text=text))
|
||||
|
||||
if not resp.content:
|
||||
resp.content.append(
|
||||
mcp.types.TextContent(type="text", text="No output.")
|
||||
)
|
||||
|
||||
return resp
|
||||
|
||||
except Exception as e:
|
||||
return f"Error executing code: {str(e)}"
|
||||
@@ -0,0 +1,55 @@
|
||||
import json
|
||||
from dataclasses import dataclass, field
|
||||
|
||||
from astrbot.api import FunctionTool
|
||||
from astrbot.core.agent.run_context import ContextWrapper
|
||||
from astrbot.core.agent.tool import ToolExecResult
|
||||
from astrbot.core.astr_agent_context import AstrAgentContext
|
||||
|
||||
from ..sandbox_client import get_booter
|
||||
|
||||
|
||||
@dataclass
|
||||
class ExecuteShellTool(FunctionTool):
|
||||
name: str = "astrbot_execute_shell"
|
||||
description: str = "Execute a command in the shell."
|
||||
parameters: dict = field(
|
||||
default_factory=lambda: {
|
||||
"type": "object",
|
||||
"properties": {
|
||||
"command": {
|
||||
"type": "string",
|
||||
"description": "The bash command to execute. Equal to 'cd {working_dir} && {your_command}'.",
|
||||
},
|
||||
"background": {
|
||||
"type": "boolean",
|
||||
"description": "Whether to run the command in the background.",
|
||||
"default": False,
|
||||
},
|
||||
"env": {
|
||||
"type": "object",
|
||||
"description": "Optional environment variables to set for the file creation process.",
|
||||
"additionalProperties": {"type": "string"},
|
||||
"default": {},
|
||||
},
|
||||
},
|
||||
"required": ["command"],
|
||||
}
|
||||
)
|
||||
|
||||
async def call(
|
||||
self,
|
||||
context: ContextWrapper[AstrAgentContext],
|
||||
command: str,
|
||||
background: bool = False,
|
||||
env: dict = {},
|
||||
) -> ToolExecResult:
|
||||
sb = await get_booter(
|
||||
context.context.context,
|
||||
context.context.event.unified_msg_origin,
|
||||
)
|
||||
try:
|
||||
result = await sb.shell.exec(command, background=background, env=env)
|
||||
return json.dumps(result)
|
||||
except Exception as e:
|
||||
return f"Error executing command: {str(e)}"
|
||||
+160
-42
@@ -49,7 +49,7 @@ class Context:
|
||||
|
||||
registered_web_apis: list = []
|
||||
|
||||
# back compatibility
|
||||
# 向后兼容的变量
|
||||
_register_tasks: list[Awaitable] = []
|
||||
_star_manager = None
|
||||
|
||||
@@ -73,12 +73,19 @@ class Context:
|
||||
self._db = db
|
||||
"""AstrBot 数据库"""
|
||||
self.provider_manager = provider_manager
|
||||
"""模型提供商管理器"""
|
||||
self.platform_manager = platform_manager
|
||||
"""平台适配器管理器"""
|
||||
self.conversation_manager = conversation_manager
|
||||
"""会话管理器"""
|
||||
self.message_history_manager = message_history_manager
|
||||
"""平台消息历史管理器"""
|
||||
self.persona_manager = persona_manager
|
||||
"""人格角色设定管理器"""
|
||||
self.astrbot_config_mgr = astrbot_config_mgr
|
||||
"""配置文件管理器(非webui)"""
|
||||
self.kb_manager = knowledge_base_manager
|
||||
"""知识库管理器"""
|
||||
|
||||
async def llm_generate(
|
||||
self,
|
||||
@@ -226,14 +233,16 @@ class Context:
|
||||
return llm_resp
|
||||
|
||||
async def get_current_chat_provider_id(self, umo: str) -> str:
|
||||
"""Get the ID of the currently used chat provider.
|
||||
"""获取当前使用的聊天模型 Provider ID。
|
||||
|
||||
Args:
|
||||
umo(str): unified_message_origin value, if provided and user has enabled provider session isolation, the provider preferred by that session will be used.
|
||||
umo: unified_message_origin。消息会话来源 ID。
|
||||
|
||||
Returns:
|
||||
指定消息会话来源当前使用的聊天模型 Provider ID。
|
||||
|
||||
Raises:
|
||||
ProviderNotFoundError: If the specified chat provider is not found
|
||||
|
||||
ProviderNotFoundError: 未找到。
|
||||
"""
|
||||
prov = self.get_using_provider(umo)
|
||||
if not prov:
|
||||
@@ -255,20 +264,27 @@ class Context:
|
||||
return self.provider_manager.llm_tools
|
||||
|
||||
def activate_llm_tool(self, name: str) -> bool:
|
||||
"""激活一个已经注册的函数调用工具。注册的工具默认是激活状态。
|
||||
"""激活一个已经注册的函数调用工具。
|
||||
|
||||
Args:
|
||||
name: 工具名称。
|
||||
|
||||
Returns:
|
||||
如果没找到,会返回 False
|
||||
如果成功激活返回 True,如果没找到工具返回 False。
|
||||
|
||||
Note:
|
||||
注册的工具默认是激活状态。
|
||||
"""
|
||||
return self.provider_manager.llm_tools.activate_llm_tool(name, star_map)
|
||||
|
||||
def deactivate_llm_tool(self, name: str) -> bool:
|
||||
"""停用一个已经注册的函数调用工具。
|
||||
|
||||
Returns:
|
||||
如果没找到,会返回 False
|
||||
Args:
|
||||
name: 工具名称。
|
||||
|
||||
Returns:
|
||||
如果成功停用返回 True,如果没找到工具返回 False。
|
||||
"""
|
||||
return self.provider_manager.llm_tools.deactivate_llm_tool(name)
|
||||
|
||||
@@ -278,7 +294,17 @@ class Context:
|
||||
) -> (
|
||||
Provider | TTSProvider | STTProvider | EmbeddingProvider | RerankProvider | None
|
||||
):
|
||||
"""通过 ID 获取对应的 LLM Provider。"""
|
||||
"""通过 ID 获取对应的 LLM Provider。
|
||||
|
||||
Args:
|
||||
provider_id: 提供者 ID。
|
||||
|
||||
Returns:
|
||||
提供者实例,如果未找到则返回 None。
|
||||
|
||||
Note:
|
||||
如果提供者 ID 存在但未找到提供者,会记录警告日志。
|
||||
"""
|
||||
prov = self.provider_manager.inst_map.get(provider_id)
|
||||
if provider_id and not prov:
|
||||
logger.warning(
|
||||
@@ -303,11 +329,20 @@ class Context:
|
||||
return self.provider_manager.embedding_provider_insts
|
||||
|
||||
def get_using_provider(self, umo: str | None = None) -> Provider:
|
||||
"""获取当前使用的用于文本生成任务的 LLM Provider(Chat_Completion 类型)。通过 /provider 指令切换。
|
||||
"""获取当前使用的用于文本生成任务的 LLM Provider(Chat_Completion 类型)。
|
||||
|
||||
Args:
|
||||
umo(str): unified_message_origin 值,如果传入并且用户启用了提供商会话隔离,则使用该会话偏好的提供商。
|
||||
umo: unified_message_origin 值,如果传入并且用户启用了提供商会话隔离,
|
||||
则使用该会话偏好的提供商。
|
||||
|
||||
Returns:
|
||||
当前使用的文本生成提供者。
|
||||
|
||||
Raises:
|
||||
ValueError: 返回的提供者不是 Provider 类型。
|
||||
|
||||
Note:
|
||||
通过 /provider 指令可以切换提供者。
|
||||
"""
|
||||
prov = self.provider_manager.get_using_provider(
|
||||
provider_type=ProviderType.CHAT_COMPLETION,
|
||||
@@ -321,8 +356,13 @@ class Context:
|
||||
"""获取当前使用的用于 TTS 任务的 Provider。
|
||||
|
||||
Args:
|
||||
umo(str): unified_message_origin 值,如果传入,则使用该会话偏好的提供商。
|
||||
umo: unified_message_origin 值,如果传入,则使用该会话偏好的提供商。
|
||||
|
||||
Returns:
|
||||
当前使用的 TTS 提供者,如果未设置则返回 None。
|
||||
|
||||
Raises:
|
||||
ValueError: 返回的提供者不是 TTSProvider 类型。
|
||||
"""
|
||||
prov = self.provider_manager.get_using_provider(
|
||||
provider_type=ProviderType.TEXT_TO_SPEECH,
|
||||
@@ -336,8 +376,13 @@ class Context:
|
||||
"""获取当前使用的用于 STT 任务的 Provider。
|
||||
|
||||
Args:
|
||||
umo(str): unified_message_origin 值,如果传入,则使用该会话偏好的提供商。
|
||||
umo: unified_message_origin 值,如果传入,则使用该会话偏好的提供商。
|
||||
|
||||
Returns:
|
||||
当前使用的 STT 提供者,如果未设置则返回 None。
|
||||
|
||||
Raises:
|
||||
ValueError: 返回的提供者不是 STTProvider 类型。
|
||||
"""
|
||||
prov = self.provider_manager.get_using_provider(
|
||||
provider_type=ProviderType.SPEECH_TO_TEXT,
|
||||
@@ -348,9 +393,19 @@ class Context:
|
||||
return prov
|
||||
|
||||
def get_config(self, umo: str | None = None) -> AstrBotConfig:
|
||||
"""获取 AstrBot 的配置。"""
|
||||
"""获取 AstrBot 的配置。
|
||||
|
||||
Args:
|
||||
umo: unified_message_origin 值,用于获取特定会话的配置。
|
||||
|
||||
Returns:
|
||||
AstrBot 配置对象。
|
||||
|
||||
Note:
|
||||
如果不提供 umo 参数,将返回默认配置。
|
||||
"""
|
||||
if not umo:
|
||||
# using default config
|
||||
# 使用默认配置
|
||||
return self._config
|
||||
return self.astrbot_config_mgr.get_conf(umo)
|
||||
|
||||
@@ -361,14 +416,19 @@ class Context:
|
||||
) -> bool:
|
||||
"""根据 session(unified_msg_origin) 主动发送消息。
|
||||
|
||||
@param session: 消息会话。通过 event.session 或者 event.unified_msg_origin 获取。
|
||||
@param message_chain: 消息链。
|
||||
Args:
|
||||
session: 消息会话。通过 event.session 或者 event.unified_msg_origin 获取。
|
||||
message_chain: 消息链。
|
||||
|
||||
@return: 是否找到匹配的平台。
|
||||
Returns:
|
||||
是否找到匹配的平台。
|
||||
|
||||
当 session 为字符串时,会尝试解析为 MessageSesion 对象,如果解析失败,会抛出 ValueError 异常。
|
||||
Raises:
|
||||
ValueError: session 字符串不合法时抛出。
|
||||
|
||||
NOTE: qq_official(QQ 官方 API 平台) 不支持此方法
|
||||
Note:
|
||||
当 session 为字符串时,会尝试解析为 MessageSession 对象。(类名为MessageSesion是因为历史遗留拼写错误)
|
||||
qq_official(QQ 官方 API 平台) 不支持此方法。
|
||||
"""
|
||||
if isinstance(session, str):
|
||||
try:
|
||||
@@ -383,7 +443,14 @@ class Context:
|
||||
return False
|
||||
|
||||
def add_llm_tools(self, *tools: FunctionTool) -> None:
|
||||
"""添加 LLM 工具。"""
|
||||
"""添加 LLM 工具。
|
||||
|
||||
Args:
|
||||
*tools: 要添加的函数工具对象。
|
||||
|
||||
Note:
|
||||
如果工具已存在,会替换已存在的工具。
|
||||
"""
|
||||
tool_name = {tool.name for tool in self.provider_manager.llm_tools.func_list}
|
||||
module_path = ""
|
||||
for tool in tools:
|
||||
@@ -416,6 +483,17 @@ class Context:
|
||||
methods: list,
|
||||
desc: str,
|
||||
):
|
||||
"""注册 Web API。
|
||||
|
||||
Args:
|
||||
route: API 路由路径。
|
||||
view_handler: 异步视图处理函数。
|
||||
methods: HTTP 方法列表。
|
||||
desc: API 描述。
|
||||
|
||||
Note:
|
||||
如果相同路由和方法已注册,会替换现有的 API。
|
||||
"""
|
||||
for idx, api in enumerate(self.registered_web_apis):
|
||||
if api[0] == route and methods == api[2]:
|
||||
self.registered_web_apis[idx] = (route, view_handler, methods, desc)
|
||||
@@ -434,7 +512,14 @@ class Context:
|
||||
def get_platform(self, platform_type: PlatformAdapterType | str) -> Platform | None:
|
||||
"""获取指定类型的平台适配器。
|
||||
|
||||
该方法已经过时,请使用 get_platform_inst 方法。(>= AstrBot v4.0.0)
|
||||
Args:
|
||||
platform_type: 平台类型或平台名称。
|
||||
|
||||
Returns:
|
||||
平台适配器实例,如果未找到则返回 None。
|
||||
|
||||
Note:
|
||||
该方法已经过时,请使用 get_platform_inst 方法。(>= AstrBot v4.0.0)
|
||||
"""
|
||||
for platform in self.platform_manager.platform_insts:
|
||||
name = platform.meta().name
|
||||
@@ -451,22 +536,32 @@ class Context:
|
||||
"""获取指定 ID 的平台适配器实例。
|
||||
|
||||
Args:
|
||||
platform_id (str): 平台适配器的唯一标识符。你可以通过 event.get_platform_id() 获取。
|
||||
platform_id: 平台适配器的唯一标识符。
|
||||
|
||||
Returns:
|
||||
Platform: 平台适配器实例,如果未找到则返回 None。
|
||||
平台适配器实例,如果未找到则返回 None。
|
||||
|
||||
Note:
|
||||
可以通过 event.get_platform_id() 获取平台 ID。
|
||||
"""
|
||||
for platform in self.platform_manager.platform_insts:
|
||||
if platform.meta().id == platform_id:
|
||||
return platform
|
||||
|
||||
def get_db(self) -> BaseDatabase:
|
||||
"""获取 AstrBot 数据库。"""
|
||||
"""获取 AstrBot 数据库。
|
||||
|
||||
Returns:
|
||||
数据库实例。
|
||||
"""
|
||||
return self._db
|
||||
|
||||
def register_provider(self, provider: Provider):
|
||||
"""注册一个 LLM Provider(Chat_Completion 类型)。"""
|
||||
"""注册一个 LLM Provider(Chat_Completion 类型)。
|
||||
|
||||
Args:
|
||||
provider: 提供者实例。
|
||||
"""
|
||||
self.provider_manager.provider_insts.append(provider)
|
||||
|
||||
def register_llm_tool(
|
||||
@@ -478,12 +573,16 @@ class Context:
|
||||
) -> None:
|
||||
"""[DEPRECATED]为函数调用(function-calling / tools-use)添加工具。
|
||||
|
||||
@param name: 函数名
|
||||
@param func_args: 函数参数列表,格式为 [{"type": "string", "name": "arg_name", "description": "arg_description"}, ...]
|
||||
@param desc: 函数描述
|
||||
@param func_obj: 异步处理函数。
|
||||
Args:
|
||||
name: 函数名。
|
||||
func_args: 函数参数列表,格式为
|
||||
[{"type": "string", "name": "arg_name", "description": "arg_description"}, ...]。
|
||||
desc: 函数描述。
|
||||
func_obj: 异步处理函数。
|
||||
|
||||
异步处理函数会接收到额外的的关键词参数:event: AstrMessageEvent, context: Context。
|
||||
Note:
|
||||
异步处理函数会接收到额外的关键词参数:event: AstrMessageEvent, context: Context。
|
||||
该方法已弃用,请使用新的注册方式。
|
||||
"""
|
||||
md = StarHandlerMetadata(
|
||||
event_type=EventType.OnLLMRequestEvent,
|
||||
@@ -498,7 +597,15 @@ class Context:
|
||||
self.provider_manager.llm_tools.add_func(name, func_args, desc, func_obj)
|
||||
|
||||
def unregister_llm_tool(self, name: str) -> None:
|
||||
"""[DEPRECATED]删除一个函数调用工具。如果再要启用,需要重新注册。"""
|
||||
"""[DEPRECATED]删除一个函数调用工具。
|
||||
|
||||
Args:
|
||||
name: 工具名称。
|
||||
|
||||
Note:
|
||||
如果再要启用,需要重新注册。
|
||||
该方法已弃用。
|
||||
"""
|
||||
self.provider_manager.llm_tools.remove_func(name)
|
||||
|
||||
def register_commands(
|
||||
@@ -511,16 +618,19 @@ class Context:
|
||||
use_regex=False,
|
||||
ignore_prefix=False,
|
||||
):
|
||||
"""注册一个命令。
|
||||
"""[DEPRECATED]注册一个命令。
|
||||
|
||||
[Deprecated] 推荐使用装饰器注册指令。该方法将在未来的版本中被移除。
|
||||
|
||||
@param star_name: 插件(Star)名称。
|
||||
@param command_name: 命令名称。
|
||||
@param desc: 命令描述。
|
||||
@param priority: 优先级。1-10。
|
||||
@param awaitable: 异步处理函数。
|
||||
Args:
|
||||
star_name: 插件(Star)名称。
|
||||
command_name: 命令名称。
|
||||
desc: 命令描述。
|
||||
priority: 优先级。1-10。
|
||||
awaitable: 异步处理函数。
|
||||
use_regex: 是否使用正则表达式匹配命令。
|
||||
ignore_prefix: 是否忽略命令前缀。
|
||||
|
||||
Note:
|
||||
推荐使用装饰器注册指令。该方法将在未来的版本中被移除。
|
||||
"""
|
||||
md = StarHandlerMetadata(
|
||||
event_type=EventType.AdapterMessageEvent,
|
||||
@@ -540,5 +650,13 @@ class Context:
|
||||
star_handlers_registry.append(md)
|
||||
|
||||
def register_task(self, task: Awaitable, desc: str):
|
||||
"""[DEPRECATED]注册一个异步任务。"""
|
||||
"""[DEPRECATED]注册一个异步任务。
|
||||
|
||||
Args:
|
||||
task: 异步任务。
|
||||
desc: 任务描述。
|
||||
|
||||
Note:
|
||||
该方法已弃用。
|
||||
"""
|
||||
self._register_tasks.append(task)
|
||||
|
||||
@@ -296,6 +296,8 @@ class ChatRoute(Route):
|
||||
# 构建用户消息段(包含 path 用于传递给 adapter)
|
||||
message_parts = await self._build_user_message_parts(message)
|
||||
|
||||
message_id = str(uuid.uuid4())
|
||||
|
||||
async def stream():
|
||||
client_disconnected = False
|
||||
accumulated_parts = []
|
||||
@@ -319,6 +321,13 @@ class ChatRoute(Route):
|
||||
if not result:
|
||||
continue
|
||||
|
||||
if (
|
||||
"message_id" in result
|
||||
and result["message_id"] != message_id
|
||||
):
|
||||
logger.warning("webchat stream message_id mismatch")
|
||||
continue
|
||||
|
||||
result_text = result["data"]
|
||||
msg_type = result.get("type")
|
||||
streaming = result.get("streaming", False)
|
||||
@@ -456,6 +465,7 @@ class ChatRoute(Route):
|
||||
"selected_provider": selected_provider,
|
||||
"selected_model": selected_model,
|
||||
"enable_streaming": enable_streaming,
|
||||
"message_id": message_id,
|
||||
},
|
||||
),
|
||||
)
|
||||
|
||||
@@ -0,0 +1,47 @@
|
||||
version: '3.8'
|
||||
|
||||
# 当接入 QQ NapCat 时,请使用这个 compose 文件一键部署: https://github.com/NapNeko/NapCat-Docker/blob/main/compose/astrbot.yml
|
||||
|
||||
services:
|
||||
astrbot:
|
||||
image: soulter/astrbot:latest
|
||||
container_name: astrbot
|
||||
restart: always
|
||||
ports: # mappings description: https://github.com/AstrBotDevs/AstrBot/issues/497
|
||||
- "6185:6185" # 必选,AstrBot WebUI 端口
|
||||
- "6199:6199" # 可选, QQ 个人号 WebSocket 端口
|
||||
environment:
|
||||
- TZ=Asia/Shanghai
|
||||
volumes:
|
||||
- ${PWD}/data:/AstrBot/data
|
||||
# - /etc/timezone:/etc/timezone:ro
|
||||
- /etc/localtime:/etc/localtime:ro
|
||||
networks:
|
||||
- astrbot_network
|
||||
|
||||
shipyard:
|
||||
image: soulter/shipyard-bay:latest
|
||||
container_name: astrbot_shipyard
|
||||
# ports:
|
||||
# - "8156:8156"
|
||||
environment:
|
||||
- PORT=8156
|
||||
- DATABASE_URL=sqlite+aiosqlite:///./data/bay.db
|
||||
- ACCESS_TOKEN=secret-token
|
||||
- MAX_SHIP_NUM=10
|
||||
- BEHAVIOR_AFTER_MAX_SHIP=reject
|
||||
- DOCKER_IMAGE=soulter/shipyard-ship:latest
|
||||
- DOCKER_NETWORK=astrbot_network
|
||||
- SHIP_DATA_DIR=${PWD}/data/shipyard/ship_mnt_data
|
||||
- DEFAULT_SHIP_CPUS=1.0
|
||||
- DEFAULT_SHIP_MEMORY=512m
|
||||
volumes:
|
||||
- ${PWD}/data/shipyard/bay_data:/app/data
|
||||
- /var/run/docker.sock:/var/run/docker.sock:ro
|
||||
networks:
|
||||
- astrbot_network
|
||||
|
||||
networks:
|
||||
astrbot_network:
|
||||
name: astrbot_network
|
||||
driver: bridge
|
||||
@@ -28,7 +28,7 @@
|
||||
"katex": "^0.16.27",
|
||||
"lodash": "4.17.21",
|
||||
"markdown-it": "^14.1.0",
|
||||
"markstream-vue": "0.0.3-beta.7",
|
||||
"markstream-vue": "^0.0.6-beta.1",
|
||||
"mermaid": "^11.12.2",
|
||||
"pinia": "2.1.6",
|
||||
"pinyin-pro": "^3.26.0",
|
||||
|
||||
@@ -155,12 +155,12 @@
|
||||
<v-card-title class="dialog-title">{{ tm('actions.editTitle') }}</v-card-title>
|
||||
<v-card-text>
|
||||
<v-text-field v-model="editingTitle" :label="tm('conversation.newConversation')" variant="outlined"
|
||||
hide-details class="mt-2" @keyup.enter="saveTitle" autofocus />
|
||||
hide-details class="mt-2" @keyup.enter="handleSaveTitle" autofocus />
|
||||
</v-card-text>
|
||||
<v-card-actions>
|
||||
<v-spacer></v-spacer>
|
||||
<v-btn variant="text" @click="editTitleDialog = false" color="grey-darken-1">{{ t('core.common.cancel') }}</v-btn>
|
||||
<v-btn variant="text" @click="saveTitle" color="primary">{{ t('core.common.save') }}</v-btn>
|
||||
<v-btn variant="text" @click="handleSaveTitle" color="primary">{{ t('core.common.save') }}</v-btn>
|
||||
</v-card-actions>
|
||||
</v-card>
|
||||
</v-dialog>
|
||||
@@ -346,6 +346,16 @@ function openImagePreview(imageUrl: string) {
|
||||
imagePreviewDialog.value = true;
|
||||
}
|
||||
|
||||
async function handleSaveTitle() {
|
||||
await saveTitle();
|
||||
|
||||
// 如果在项目视图中,刷新项目会话列表
|
||||
if (selectedProjectId.value) {
|
||||
const sessions = await getProjectSessions(selectedProjectId.value);
|
||||
projectSessions.value = sessions;
|
||||
}
|
||||
}
|
||||
|
||||
function handleReplyMessage(msg: any, index: number) {
|
||||
// 从消息中获取 id (PlatformSessionHistoryMessage 的 id)
|
||||
const messageId = msg.id;
|
||||
@@ -447,6 +457,12 @@ function handleNewChat() {
|
||||
async function handleDeleteConversation(sessionId: string) {
|
||||
await deleteSessionFn(sessionId);
|
||||
messages.value = [];
|
||||
|
||||
// 如果在项目视图中,刷新项目会话列表
|
||||
if (selectedProjectId.value) {
|
||||
const sessions = await getProjectSessions(selectedProjectId.value);
|
||||
projectSessions.value = sessions;
|
||||
}
|
||||
}
|
||||
|
||||
async function handleSelectProject(projectId: string) {
|
||||
@@ -523,8 +539,16 @@ async function handleSendMessage() {
|
||||
}
|
||||
|
||||
const isCreatingNewSession = !currSessionId.value;
|
||||
const currentProjectId = selectedProjectId.value; // 保存当前项目ID
|
||||
|
||||
if (isCreatingNewSession) {
|
||||
await newSession();
|
||||
|
||||
// 如果在项目视图中创建新会话,立即退出项目视图
|
||||
if (currentProjectId) {
|
||||
selectedProjectId.value = null;
|
||||
projectSessions.value = [];
|
||||
}
|
||||
}
|
||||
|
||||
const promptToSend = prompt.value.trim();
|
||||
@@ -556,12 +580,13 @@ async function handleSendMessage() {
|
||||
replyToSend
|
||||
);
|
||||
|
||||
// 如果在项目视图中创建了新会话,自动添加到当前项目
|
||||
if (isCreatingNewSession && selectedProjectId.value && currSessionId.value) {
|
||||
await addSessionToProject(currSessionId.value, selectedProjectId.value);
|
||||
// 刷新项目会话列表
|
||||
const sessions = await getProjectSessions(selectedProjectId.value);
|
||||
projectSessions.value = sessions;
|
||||
// 如果在项目中创建了新会话,将其添加到项目
|
||||
if (isCreatingNewSession && currentProjectId && currSessionId.value) {
|
||||
await addSessionToProject(currSessionId.value, currentProjectId);
|
||||
// 刷新会话列表,移除已添加到项目的会话
|
||||
await getSessions();
|
||||
// 重新获取会话消息以更新项目信息(用于面包屑显示)
|
||||
await getSessionMsg(currSessionId.value);
|
||||
}
|
||||
}
|
||||
|
||||
|
||||
@@ -28,7 +28,7 @@
|
||||
<div v-else-if="part.type === 'image' && part.embedded_url" class="image-attachments">
|
||||
<div class="image-attachment">
|
||||
<img :src="part.embedded_url" class="attached-image"
|
||||
@click="$emit('openImagePreview', part.embedded_url)" />
|
||||
@click="openImagePreview(part.embedded_url)" />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -90,83 +90,28 @@
|
||||
|
||||
<template v-else>
|
||||
<!-- Reasoning Block (Collapsible) - 放在最前面 -->
|
||||
<div v-if="msg.content.reasoning && msg.content.reasoning.trim()"
|
||||
class="reasoning-container" :class="{ 'is-dark': isDark }"
|
||||
:style="isDark ? { backgroundColor: 'rgba(103, 58, 183, 0.08)' } : {}">
|
||||
<div class="reasoning-header" :class="{ 'is-dark': isDark }"
|
||||
@click="toggleReasoning(index)">
|
||||
<v-icon size="small" class="reasoning-icon">
|
||||
{{ isReasoningExpanded(index) ? 'mdi-chevron-down' : 'mdi-chevron-right' }}
|
||||
</v-icon>
|
||||
<span class="reasoning-label">{{ tm('reasoning.thinking') }}</span>
|
||||
</div>
|
||||
<div v-if="isReasoningExpanded(index)" class="reasoning-content">
|
||||
<MarkdownRender :content="msg.content.reasoning"
|
||||
class="reasoning-text markdown-content" :typewriter="false"
|
||||
:style="isDark ? { opacity: '0.85' } : {}" :is-dark="isDark" />
|
||||
</div>
|
||||
</div>
|
||||
<ReasoningBlock v-if="msg.content.reasoning && msg.content.reasoning.trim()"
|
||||
:reasoning="msg.content.reasoning" :is-dark="isDark"
|
||||
:initial-expanded="isReasoningExpanded(index)" />
|
||||
|
||||
<!-- 遍历 message parts (保持顺序) -->
|
||||
<template v-for="(part, partIndex) in msg.content.message" :key="partIndex">
|
||||
<!-- Tool Calls Block -->
|
||||
<div v-if="part.type === 'tool_call' && part.tool_calls && part.tool_calls.length > 0"
|
||||
class="tool-calls-container">
|
||||
<div class="tool-calls-label">{{ tm('actions.toolsUsed') }}</div>
|
||||
<div v-for="(toolCall, tcIndex) in part.tool_calls" :key="toolCall.id"
|
||||
class="tool-call-card" :class="{ 'is-dark': isDark, 'expanded': isToolCallExpanded(index, partIndex, tcIndex) }" :style="isDark ? {
|
||||
backgroundColor: 'rgba(40, 60, 100, 0.4)',
|
||||
borderColor: 'rgba(100, 140, 200, 0.4)'
|
||||
} : {}">
|
||||
<div class="tool-call-header" :class="{ 'is-dark': isDark }"
|
||||
@click="toggleToolCall(index, partIndex, tcIndex)">
|
||||
<v-icon size="small" class="tool-call-expand-icon">
|
||||
{{ isToolCallExpanded(index, partIndex, tcIndex) ?
|
||||
'mdi-chevron-down' : 'mdi-chevron-right' }}
|
||||
</v-icon>
|
||||
<v-icon size="small" class="tool-call-icon">mdi-wrench-outline</v-icon>
|
||||
<div class="tool-call-info">
|
||||
<span class="tool-call-name">{{ toolCall.name }}</span>
|
||||
</div>
|
||||
<span class="tool-call-status"
|
||||
:class="{ 'status-running': !toolCall.finished_ts, 'status-finished': toolCall.finished_ts }">
|
||||
<template v-if="toolCall.finished_ts">
|
||||
<v-icon size="x-small"
|
||||
class="status-icon">mdi-check-circle</v-icon>
|
||||
{{ formatDuration(toolCall.finished_ts - toolCall.ts) }}
|
||||
</template>
|
||||
<template v-else>
|
||||
<v-icon size="x-small"
|
||||
class="status-icon spinning">mdi-loading</v-icon>
|
||||
{{ getElapsedTime(toolCall.ts) }}
|
||||
</template>
|
||||
</span>
|
||||
</div>
|
||||
<div v-if="isToolCallExpanded(index, partIndex, tcIndex)"
|
||||
class="tool-call-details" :style="isDark ? {
|
||||
borderTopColor: 'rgba(100, 140, 200, 0.3)',
|
||||
backgroundColor: 'rgba(30, 45, 70, 0.5)'
|
||||
} : {}">
|
||||
<div class="tool-call-detail-row">
|
||||
<span class="detail-label">ID:</span>
|
||||
<code class="detail-value"
|
||||
:style="isDark ? { backgroundColor: 'transparent' } : {}">{{ toolCall.id
|
||||
}}</code>
|
||||
</div>
|
||||
<div class="tool-call-detail-row">
|
||||
<span class="detail-label">Args:</span>
|
||||
<pre class="detail-value detail-json"
|
||||
:style="isDark ? { backgroundColor: 'transparent' } : {}">{{
|
||||
JSON.stringify(toolCall.args, null, 2) }}</pre>
|
||||
</div>
|
||||
<div v-if="toolCall.result" class="tool-call-detail-row">
|
||||
<span class="detail-label">Result:</span>
|
||||
<pre class="detail-value detail-json detail-result"
|
||||
:style="isDark ? { backgroundColor: 'transparent' } : {}">{{ formatToolResult(toolCall.result) }}
|
||||
</pre>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
<!-- iPython Tool Special Block -->
|
||||
<template v-if="part.type === 'tool_call' && part.tool_calls && part.tool_calls.length > 0">
|
||||
<template v-for="(toolCall, tcIndex) in part.tool_calls" :key="toolCall.id">
|
||||
<IPythonToolBlock v-if="isIPythonTool(toolCall)" :tool-call="toolCall" style="margin: 8px 0;"
|
||||
:is-dark="isDark"
|
||||
:initial-expanded="isIPythonToolExpanded(index, partIndex, tcIndex)" />
|
||||
</template>
|
||||
</template>
|
||||
|
||||
<!-- Regular Tool Calls Block (for non-iPython tools) -->
|
||||
<div v-if="part.type === 'tool_call' && part.tool_calls && part.tool_calls.some(tc => !isIPythonTool(tc))"
|
||||
class="flex flex-col gap-2">
|
||||
<div class="font-medium opacity-70" style="font-size: 13px; margin-bottom: 16px;">{{ tm('actions.toolsUsed') }}</div>
|
||||
<ToolCallCard v-for="(toolCall, tcIndex) in part.tool_calls.filter(tc => !isIPythonTool(tc))"
|
||||
:key="toolCall.id" :tool-call="toolCall" :is-dark="isDark"
|
||||
:initial-expanded="isToolCallExpanded(index, partIndex, tcIndex)" />
|
||||
</div>
|
||||
|
||||
<!-- Text (Markdown) -->
|
||||
@@ -178,7 +123,7 @@
|
||||
<div v-else-if="part.type === 'image' && part.embedded_url" class="embedded-images">
|
||||
<div class="embedded-image">
|
||||
<img :src="part.embedded_url" class="bot-embedded-image"
|
||||
@click="$emit('openImagePreview', part.embedded_url)" />
|
||||
@click="openImagePreview(part.embedded_url)" />
|
||||
</div>
|
||||
</div>
|
||||
|
||||
@@ -289,6 +234,13 @@
|
||||
</v-btn>
|
||||
</div>
|
||||
</div>
|
||||
|
||||
<!-- 图片预览 Overlay -->
|
||||
<v-overlay v-model="imagePreview.show" class="image-preview-overlay" @click="closeImagePreview">
|
||||
<div class="image-preview-container" @click.stop>
|
||||
<img :src="imagePreview.url" class="preview-image" @click="closeImagePreview" />
|
||||
</div>
|
||||
</v-overlay>
|
||||
</template>
|
||||
|
||||
<script>
|
||||
@@ -298,6 +250,9 @@ import 'markstream-vue/index.css'
|
||||
import 'katex/dist/katex.min.css'
|
||||
import 'highlight.js/styles/github.css';
|
||||
import axios from 'axios';
|
||||
import ReasoningBlock from './message_list_comps/ReasoningBlock.vue';
|
||||
import IPythonToolBlock from './message_list_comps/IPythonToolBlock.vue';
|
||||
import ToolCallCard from './message_list_comps/ToolCallCard.vue';
|
||||
|
||||
enableKatex();
|
||||
enableMermaid();
|
||||
@@ -305,7 +260,10 @@ enableMermaid();
|
||||
export default {
|
||||
name: 'MessageList',
|
||||
components: {
|
||||
MarkdownRender
|
||||
MarkdownRender,
|
||||
ReasoningBlock,
|
||||
IPythonToolBlock,
|
||||
ToolCallCard
|
||||
},
|
||||
props: {
|
||||
messages: {
|
||||
@@ -344,6 +302,7 @@ export default {
|
||||
expandedReasoning: new Set(), // Track which reasoning blocks are expanded
|
||||
downloadingFiles: new Set(), // Track which files are being downloaded
|
||||
expandedToolCalls: new Set(), // Track which tool call cards are expanded
|
||||
expandedIPythonTools: new Set(), // Track which iPython tools are expanded
|
||||
elapsedTimeTimer: null, // Timer for updating elapsed time
|
||||
currentTime: Date.now() / 1000, // Current time for elapsed time calculation
|
||||
// 选中文本相关状态
|
||||
@@ -351,10 +310,15 @@ export default {
|
||||
content: '',
|
||||
messageIndex: null,
|
||||
position: { top: 0, left: 0 }
|
||||
},
|
||||
// 图片预览
|
||||
imagePreview: {
|
||||
show: false,
|
||||
url: ''
|
||||
}
|
||||
};
|
||||
},
|
||||
mounted() {
|
||||
async mounted() {
|
||||
this.initCodeCopyButtons();
|
||||
this.initImageClickEvents();
|
||||
this.addScrollListener();
|
||||
@@ -508,6 +472,23 @@ export default {
|
||||
return this.expandedReasoning.has(messageIndex);
|
||||
},
|
||||
|
||||
// Toggle iPython tool expansion state
|
||||
toggleIPythonTool(messageIndex, partIndex, toolCallIndex) {
|
||||
const key = `${messageIndex}-${partIndex}-${toolCallIndex}`;
|
||||
if (this.expandedIPythonTools.has(key)) {
|
||||
this.expandedIPythonTools.delete(key);
|
||||
} else {
|
||||
this.expandedIPythonTools.add(key);
|
||||
}
|
||||
// Force reactivity
|
||||
this.expandedIPythonTools = new Set(this.expandedIPythonTools);
|
||||
},
|
||||
|
||||
// Check if iPython tool is expanded
|
||||
isIPythonToolExpanded(messageIndex, partIndex, toolCallIndex) {
|
||||
return this.expandedIPythonTools.has(`${messageIndex}-${partIndex}-${toolCallIndex}`);
|
||||
},
|
||||
|
||||
// 下载文件
|
||||
async downloadFile(file) {
|
||||
if (!file.attachment_id) return;
|
||||
@@ -676,7 +657,7 @@ export default {
|
||||
if (!img.hasAttribute('data-click-enabled')) {
|
||||
img.style.cursor = 'pointer';
|
||||
img.setAttribute('data-click-enabled', 'true');
|
||||
img.onclick = () => this.$emit('openImagePreview', img.src);
|
||||
img.onclick = () => this.openImagePreview(img.src);
|
||||
}
|
||||
});
|
||||
});
|
||||
@@ -877,6 +858,25 @@ export default {
|
||||
formatTTFT(ttft) {
|
||||
if (!ttft || ttft <= 0) return '';
|
||||
return this.formatDuration(ttft);
|
||||
},
|
||||
|
||||
// 打开图片预览
|
||||
openImagePreview(url) {
|
||||
this.imagePreview.url = url;
|
||||
this.imagePreview.show = true;
|
||||
},
|
||||
|
||||
// 关闭图片预览
|
||||
closeImagePreview() {
|
||||
this.imagePreview.show = false;
|
||||
setTimeout(() => {
|
||||
this.imagePreview.url = '';
|
||||
}, 300);
|
||||
},
|
||||
|
||||
// Check if tool is iPython executor
|
||||
isIPythonTool(toolCall) {
|
||||
return toolCall.name === 'astrbot_execute_ipython';
|
||||
}
|
||||
}
|
||||
}
|
||||
@@ -1268,10 +1268,10 @@ export default {
|
||||
}
|
||||
|
||||
.bot-embedded-image {
|
||||
max-width: 40%;
|
||||
max-width: 55%;
|
||||
width: auto;
|
||||
height: auto;
|
||||
border-radius: 8px;
|
||||
border-radius: 4px;
|
||||
cursor: pointer;
|
||||
transition: transform 0.2s ease;
|
||||
}
|
||||
@@ -1346,165 +1346,6 @@ export default {
|
||||
animation: fadeIn 0.3s ease-in-out;
|
||||
}
|
||||
|
||||
/* Reasoning 区块样式 */
|
||||
.reasoning-container {
|
||||
margin-bottom: 12px;
|
||||
margin-top: 6px;
|
||||
border: 1px solid var(--v-theme-border);
|
||||
border-radius: 20px;
|
||||
overflow: hidden;
|
||||
width: fit-content;
|
||||
}
|
||||
|
||||
.reasoning-header {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
padding: 8px 8px;
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
transition: background-color 0.2s ease;
|
||||
border-radius: 20px;
|
||||
}
|
||||
|
||||
.reasoning-header:hover {
|
||||
background-color: rgba(103, 58, 183, 0.08);
|
||||
}
|
||||
|
||||
.reasoning-header.is-dark:hover {
|
||||
background-color: rgba(103, 58, 183, 0.15);
|
||||
}
|
||||
|
||||
.reasoning-icon {
|
||||
margin-right: 6px;
|
||||
color: var(--v-theme-secondary);
|
||||
transition: transform 0.2s ease;
|
||||
}
|
||||
|
||||
.reasoning-label {
|
||||
font-size: 13px;
|
||||
font-weight: 500;
|
||||
color: var(--v-theme-secondary);
|
||||
letter-spacing: 0.3px;
|
||||
}
|
||||
|
||||
.reasoning-content {
|
||||
padding: 0px 12px;
|
||||
border-top: 1px solid var(--v-theme-border);
|
||||
color: gray;
|
||||
animation: fadeIn 0.2s ease-in-out;
|
||||
font-style: italic;
|
||||
}
|
||||
|
||||
.reasoning-text {
|
||||
font-size: 14px;
|
||||
line-height: 1.6;
|
||||
color: var(--v-theme-secondaryText);
|
||||
}
|
||||
|
||||
/* Tool Call Card Styles */
|
||||
.tool-calls-container {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 8px;
|
||||
margin-bottom: 12px;
|
||||
margin-top: 6px;
|
||||
}
|
||||
|
||||
.tool-calls-label {
|
||||
font-size: 13px;
|
||||
font-weight: 500;
|
||||
color: var(--v-theme-secondaryText);
|
||||
opacity: 0.7;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.tool-call-card {
|
||||
border-radius: 8px;
|
||||
overflow: hidden;
|
||||
background-color: #eff3f6;
|
||||
margin: 8px 0px;
|
||||
max-width: 300px;
|
||||
transition: max-width 0.1s ease;
|
||||
}
|
||||
|
||||
.tool-call-card.expanded {
|
||||
max-width: 100%;
|
||||
}
|
||||
|
||||
.tool-call-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
padding: 10px 12px;
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
transition: background-color 0.2s ease;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.tool-call-header:hover {
|
||||
background-color: rgba(169, 194, 219, 0.15);
|
||||
}
|
||||
|
||||
.tool-call-header.is-dark:hover {
|
||||
background-color: rgba(100, 150, 200, 0.2);
|
||||
}
|
||||
|
||||
.tool-call-expand-icon {
|
||||
color: var(--v-theme-secondary);
|
||||
transition: transform 0.2s ease;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-icon {
|
||||
color: var(--v-theme-secondary);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-info {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 2px;
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.tool-call-name {
|
||||
font-size: 13px;
|
||||
font-weight: 600;
|
||||
color: var(--v-theme-secondary);
|
||||
}
|
||||
|
||||
.tool-call-id {
|
||||
font-size: 11px;
|
||||
color: var(--v-theme-secondaryText);
|
||||
opacity: 0.7;
|
||||
overflow: hidden;
|
||||
text-overflow: ellipsis;
|
||||
white-space: nowrap;
|
||||
}
|
||||
|
||||
.tool-call-status {
|
||||
margin-left: 8px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-status.status-running {
|
||||
color: #ff9800;
|
||||
}
|
||||
|
||||
.tool-call-status.status-finished {
|
||||
color: #4caf50;
|
||||
}
|
||||
|
||||
.tool-call-status .status-icon {
|
||||
font-size: 14px;
|
||||
}
|
||||
|
||||
/* 浮动引用按钮样式 */
|
||||
.selection-quote-button {
|
||||
position: fixed;
|
||||
@@ -1515,7 +1356,6 @@ export default {
|
||||
pointer-events: all;
|
||||
}
|
||||
|
||||
|
||||
.quote-btn {
|
||||
box-shadow: 0 2px 8px rgba(0, 0, 0, 0.1);
|
||||
font-size: 14px;
|
||||
@@ -1535,66 +1375,8 @@ export default {
|
||||
color: #ffffff !important;
|
||||
}
|
||||
|
||||
.tool-call-status .status-icon.spinning {
|
||||
animation: spin 1s linear infinite;
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
from {
|
||||
transform: rotate(0deg);
|
||||
}
|
||||
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
|
||||
.tool-call-details {
|
||||
padding: 12px;
|
||||
background-color: rgba(255, 255, 255, 0.5);
|
||||
animation: fadeIn 0.2s ease-in-out;
|
||||
}
|
||||
|
||||
.tool-call-detail-row {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.tool-call-detail-row:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.detail-label {
|
||||
font-size: 11px;
|
||||
font-weight: 600;
|
||||
color: var(--v-theme-secondaryText);
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.5px;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.detail-value {
|
||||
font-size: 12px;
|
||||
color: var(--v-theme-primaryText);
|
||||
background-color: transparent;
|
||||
padding: 4px 8px;
|
||||
border-radius: 4px;
|
||||
word-break: break-all;
|
||||
}
|
||||
|
||||
.detail-json {
|
||||
font-family: 'Fira Code', 'Consolas', monospace;
|
||||
white-space: pre-wrap;
|
||||
max-height: 200px;
|
||||
overflow-y: auto;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.detail-result {
|
||||
max-height: 300px;
|
||||
background-color: transparent;
|
||||
}
|
||||
</style>
|
||||
|
||||
<style>
|
||||
@@ -1635,4 +1417,36 @@ export default {
|
||||
font-family: 'Fira Code', 'Consolas', monospace;
|
||||
color: var(--v-theme-primaryText);
|
||||
}
|
||||
|
||||
/* 图片预览样式 */
|
||||
.image-preview-overlay {
|
||||
z-index: 9999;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
}
|
||||
|
||||
.image-preview-container {
|
||||
position: relative;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
justify-content: center;
|
||||
width: 100%;
|
||||
height: 100%;
|
||||
}
|
||||
|
||||
.preview-image {
|
||||
max-width: 90vw;
|
||||
max-height: 90vh;
|
||||
object-fit: contain;
|
||||
border-radius: 8px;
|
||||
box-shadow: 0 8px 32px rgba(0, 0, 0, 0.3);
|
||||
cursor: pointer;
|
||||
}
|
||||
|
||||
.close-preview-btn {
|
||||
position: fixed;
|
||||
top: 20px;
|
||||
right: 20px;
|
||||
}
|
||||
</style>
|
||||
|
||||
@@ -14,6 +14,12 @@
|
||||
<v-expand-transition>
|
||||
<div v-show="expanded" style="padding: 0 8px;">
|
||||
<v-list density="compact" nav class="project-list" style="background-color: transparent;">
|
||||
<v-list-item @click="$emit('createProject')" class="create-project-item" rounded="lg">
|
||||
<template v-slot:prepend>
|
||||
<span class="project-emoji"><v-icon size="small">mdi-plus</v-icon></span>
|
||||
</template>
|
||||
<v-list-item-title style="font-size: 13px;">{{ tm('project.create') }}</v-list-item-title>
|
||||
</v-list-item>
|
||||
<v-list-item v-for="project in projects" :key="project.project_id"
|
||||
@click="$emit('selectProject', project.project_id)" rounded="lg" class="project-item">
|
||||
<template v-slot:prepend>
|
||||
@@ -29,12 +35,6 @@
|
||||
</div>
|
||||
</template>
|
||||
</v-list-item>
|
||||
<v-list-item @click="$emit('createProject')" class="create-project-item" rounded="lg">
|
||||
<template v-slot:prepend>
|
||||
<v-icon size="small">mdi-plus</v-icon>
|
||||
</template>
|
||||
<v-list-item-title style="font-size: 13px;">{{ tm('project.create') }}</v-list-item-title>
|
||||
</v-list-item>
|
||||
</v-list>
|
||||
</div>
|
||||
</v-expand-transition>
|
||||
|
||||
@@ -0,0 +1,220 @@
|
||||
<template>
|
||||
<div class="mb-3 mt-1.5">
|
||||
<div class="ipython-header" :class="{ 'expanded': isExpanded }" @click="toggleExpanded">
|
||||
<span class="ipython-label">
|
||||
{{ tm('actions.pythonCodeAnalysis') }}
|
||||
</span>
|
||||
<v-icon size="small" class="ipython-icon" :class="{ 'rotated': isExpanded }">
|
||||
mdi-chevron-right
|
||||
</v-icon>
|
||||
</div>
|
||||
<div v-if="isExpanded" class="py-3 animate-fade-in">
|
||||
<!-- Code Section -->
|
||||
<div class="code-section">
|
||||
<div v-if="shikiReady && code" class="code-highlighted"
|
||||
v-html="highlightedCode"></div>
|
||||
<pre v-else class="code-fallback"
|
||||
:class="{ 'dark-theme': isDark }">{{ code || 'No code available' }}</pre>
|
||||
</div>
|
||||
|
||||
<!-- Result Section -->
|
||||
<div v-if="result" class="result-section">
|
||||
<div class="result-label">
|
||||
{{ tm('ipython.output') }}:
|
||||
</div>
|
||||
<pre class="result-content"
|
||||
:class="{ 'dark-theme': isDark }">{{ formattedResult }}</pre>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<script setup>
|
||||
import { ref, computed, onMounted } from 'vue';
|
||||
import { useModuleI18n } from '@/i18n/composables';
|
||||
import { createHighlighter } from 'shiki';
|
||||
|
||||
const props = defineProps({
|
||||
toolCall: {
|
||||
type: Object,
|
||||
required: true
|
||||
},
|
||||
isDark: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
},
|
||||
initialExpanded: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
});
|
||||
|
||||
const { tm } = useModuleI18n('features/chat');
|
||||
const isExpanded = ref(props.initialExpanded);
|
||||
const shikiHighlighter = ref(null);
|
||||
const shikiReady = ref(false);
|
||||
|
||||
const code = computed(() => {
|
||||
try {
|
||||
if (props.toolCall.args && props.toolCall.args.code) {
|
||||
return props.toolCall.args.code;
|
||||
}
|
||||
} catch (err) {
|
||||
console.error('Failed to get iPython code:', err);
|
||||
}
|
||||
return null;
|
||||
});
|
||||
|
||||
const result = computed(() => props.toolCall.result);
|
||||
|
||||
const formattedResult = computed(() => {
|
||||
if (!result.value) return '';
|
||||
try {
|
||||
const parsed = JSON.parse(result.value);
|
||||
return JSON.stringify(parsed, null, 2);
|
||||
} catch {
|
||||
return result.value;
|
||||
}
|
||||
});
|
||||
|
||||
const highlightedCode = computed(() => {
|
||||
if (!shikiReady.value || !shikiHighlighter.value || !code.value) {
|
||||
return '';
|
||||
}
|
||||
try {
|
||||
return shikiHighlighter.value.codeToHtml(code.value, {
|
||||
lang: 'python',
|
||||
theme: props.isDark ? 'min-dark' : 'github-light'
|
||||
});
|
||||
} catch (err) {
|
||||
console.error('Failed to highlight code:', err);
|
||||
return `<pre><code>${code.value}</code></pre>`;
|
||||
}
|
||||
});
|
||||
|
||||
const toggleExpanded = () => {
|
||||
isExpanded.value = !isExpanded.value;
|
||||
};
|
||||
|
||||
onMounted(async () => {
|
||||
try {
|
||||
shikiHighlighter.value = await createHighlighter({
|
||||
themes: ['min-dark', 'github-light'],
|
||||
langs: ['python']
|
||||
});
|
||||
shikiReady.value = true;
|
||||
} catch (err) {
|
||||
console.error('Failed to initialize Shiki:', err);
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.mb-3 {
|
||||
margin-bottom: 12px;
|
||||
}
|
||||
|
||||
.mt-1\.5 {
|
||||
margin-top: 6px;
|
||||
}
|
||||
|
||||
.ipython-header {
|
||||
display: inline-flex;
|
||||
align-items: center;
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
border-radius: 20px;
|
||||
opacity: 0.7;
|
||||
transition: opacity;
|
||||
}
|
||||
|
||||
.ipython-header:hover,
|
||||
.ipython-header.expanded {
|
||||
opacity: 1;
|
||||
}
|
||||
|
||||
.ipython-label {
|
||||
font-size: 16px;
|
||||
}
|
||||
|
||||
.ipython-icon {
|
||||
margin-left: 6px;
|
||||
transition: transform 0.2s ease;
|
||||
}
|
||||
|
||||
.ipython-icon.rotated {
|
||||
transform: rotate(90deg);
|
||||
}
|
||||
|
||||
.py-3 {
|
||||
padding-top: 12px;
|
||||
padding-bottom: 12px;
|
||||
}
|
||||
|
||||
.code-section {
|
||||
margin-bottom: 12px;
|
||||
}
|
||||
|
||||
.code-highlighted {
|
||||
border-radius: 6px;
|
||||
overflow: hidden;
|
||||
font-size: 14px;
|
||||
line-height: 1.5;
|
||||
}
|
||||
|
||||
.code-fallback {
|
||||
margin: 0;
|
||||
padding: 12px;
|
||||
border-radius: 6px;
|
||||
overflow-x: auto;
|
||||
font-size: 13px;
|
||||
line-height: 1.5;
|
||||
background-color: #f5f5f5;
|
||||
}
|
||||
|
||||
.code-fallback.dark-theme {
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
.result-section {
|
||||
margin-top: 12px;
|
||||
}
|
||||
|
||||
.result-label {
|
||||
font-size: 12px;
|
||||
font-weight: 600;
|
||||
color: var(--v-theme-secondaryText);
|
||||
margin-bottom: 6px;
|
||||
opacity: 0.8;
|
||||
}
|
||||
|
||||
.result-content {
|
||||
margin: 0;
|
||||
padding: 12px;
|
||||
border-radius: 6px;
|
||||
overflow-x: auto;
|
||||
font-size: 13px;
|
||||
line-height: 1.5;
|
||||
background-color: #f5f5f5;
|
||||
max-height: 300px;
|
||||
overflow-y: auto;
|
||||
}
|
||||
|
||||
.result-content.dark-theme {
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
.animate-fade-in {
|
||||
animation: fadeIn 0.2s ease-in-out;
|
||||
}
|
||||
|
||||
@keyframes fadeIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
</style>
|
||||
@@ -0,0 +1,73 @@
|
||||
<template>
|
||||
<div class="mb-3 mt-1.5 border border-gray-200 dark:border-gray-700 rounded-2xl overflow-hidden w-fit"
|
||||
:class="{ 'dark:bg-purple-900/8': isDark, 'bg-purple-50/50': !isDark }">
|
||||
<div class="inline-flex items-center px-2 py-2 cursor-pointer select-none rounded-2xl transition-colors hover:bg-purple-50/80 dark:hover:bg-purple-900/15"
|
||||
@click="toggleExpanded">
|
||||
<v-icon size="small" class="mr-1.5 text-purple-600 dark:text-purple-400 transition-transform"
|
||||
:class="{ 'rotate-90': isExpanded }">
|
||||
mdi-chevron-right
|
||||
</v-icon>
|
||||
<span class="text-sm font-medium text-purple-600 dark:text-purple-400 tracking-wide">
|
||||
{{ tm('reasoning.thinking') }}
|
||||
</span>
|
||||
</div>
|
||||
<div v-if="isExpanded" class="px-3 border-t border-gray-200 dark:border-gray-700 text-gray-600 dark:text-gray-400 animate-fade-in italic">
|
||||
<MarkdownRender :content="reasoning" class="reasoning-text markdown-content text-sm leading-relaxed"
|
||||
:typewriter="false" :is-dark="isDark" :style="isDark ? { opacity: '0.85' } : {}" />
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<script setup>
|
||||
import { ref } from 'vue';
|
||||
import { useModuleI18n } from '@/i18n/composables';
|
||||
import { MarkdownRender } from 'markstream-vue';
|
||||
|
||||
const props = defineProps({
|
||||
reasoning: {
|
||||
type: String,
|
||||
required: true
|
||||
},
|
||||
isDark: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
},
|
||||
initialExpanded: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
});
|
||||
|
||||
const { tm } = useModuleI18n('features/chat');
|
||||
const isExpanded = ref(props.initialExpanded);
|
||||
|
||||
const toggleExpanded = () => {
|
||||
isExpanded.value = !isExpanded.value;
|
||||
};
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.animate-fade-in {
|
||||
animation: fadeIn 0.2s ease-in-out;
|
||||
}
|
||||
|
||||
@keyframes fadeIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
.rotate-90 {
|
||||
transform: rotate(90deg);
|
||||
}
|
||||
|
||||
.reasoning-text {
|
||||
font-size: 14px;
|
||||
line-height: 1.6;
|
||||
color: var(--v-theme-secondaryText);
|
||||
}
|
||||
</style>
|
||||
@@ -0,0 +1,290 @@
|
||||
<template>
|
||||
<div class="tool-call-card" :class="{ 'is-dark': isDark, 'expanded': isExpanded }" :style="isDark ? {
|
||||
backgroundColor: 'rgba(40, 60, 100, 0.4)',
|
||||
borderColor: 'rgba(100, 140, 200, 0.4)'
|
||||
} : {}">
|
||||
<!-- Header -->
|
||||
<div class="tool-call-header" :class="{ 'is-dark': isDark }" @click="toggleExpanded">
|
||||
<v-icon size="small" class="tool-call-expand-icon" :class="{ 'expanded': isExpanded }">
|
||||
mdi-chevron-right
|
||||
</v-icon>
|
||||
<v-icon size="small" class="tool-call-icon">mdi-wrench-outline</v-icon>
|
||||
<div class="tool-call-info">
|
||||
<span class="tool-call-name">{{ toolCall.name }}</span>
|
||||
</div>
|
||||
<span class="tool-call-status"
|
||||
:class="{ 'status-running': !toolCall.finished_ts, 'status-finished': toolCall.finished_ts }">
|
||||
<template v-if="toolCall.finished_ts">
|
||||
<v-icon size="x-small" class="status-icon">mdi-check-circle</v-icon>
|
||||
{{ formatDuration(toolCall.finished_ts - toolCall.ts) }}
|
||||
</template>
|
||||
<template v-else>
|
||||
<v-icon size="x-small" class="status-icon spinning">mdi-loading</v-icon>
|
||||
{{ elapsedTime }}
|
||||
</template>
|
||||
</span>
|
||||
</div>
|
||||
|
||||
<!-- Details -->
|
||||
<div v-if="isExpanded" class="tool-call-details" :style="isDark ? {
|
||||
borderTopColor: 'rgba(100, 140, 200, 0.3)',
|
||||
backgroundColor: 'rgba(30, 45, 70, 0.5)'
|
||||
} : {}">
|
||||
<!-- ID -->
|
||||
<div class="tool-call-detail-row">
|
||||
<span class="detail-label">ID:</span>
|
||||
<code class="detail-value" :style="isDark ? { backgroundColor: 'transparent' } : {}">
|
||||
{{ toolCall.id }}
|
||||
</code>
|
||||
</div>
|
||||
|
||||
<!-- Args -->
|
||||
<div class="tool-call-detail-row">
|
||||
<span class="detail-label">Args:</span>
|
||||
<pre class="detail-value detail-json" :style="isDark ? { backgroundColor: 'transparent' } : {}">{{
|
||||
JSON.stringify(toolCall.args, null, 2) }}</pre>
|
||||
</div>
|
||||
|
||||
<!-- Result -->
|
||||
<div v-if="toolCall.result" class="tool-call-detail-row">
|
||||
<span class="detail-label">Result:</span>
|
||||
<pre class="detail-value detail-json detail-result"
|
||||
:style="isDark ? { backgroundColor: 'transparent' } : {}">{{
|
||||
formattedResult }}</pre>
|
||||
</div>
|
||||
</div>
|
||||
</div>
|
||||
</template>
|
||||
|
||||
<script setup>
|
||||
import { ref, computed, onMounted, onUnmounted } from 'vue';
|
||||
|
||||
const props = defineProps({
|
||||
toolCall: {
|
||||
type: Object,
|
||||
required: true
|
||||
},
|
||||
isDark: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
},
|
||||
initialExpanded: {
|
||||
type: Boolean,
|
||||
default: false
|
||||
}
|
||||
});
|
||||
|
||||
const isExpanded = ref(props.initialExpanded);
|
||||
const currentTime = ref(Date.now() / 1000);
|
||||
let timer = null;
|
||||
|
||||
const elapsedTime = computed(() => {
|
||||
if (props.toolCall.finished_ts) return '';
|
||||
const elapsed = currentTime.value - props.toolCall.ts;
|
||||
return formatDuration(elapsed);
|
||||
});
|
||||
|
||||
const formattedResult = computed(() => {
|
||||
if (!props.toolCall.result) return '';
|
||||
try {
|
||||
const parsed = JSON.parse(props.toolCall.result);
|
||||
return JSON.stringify(parsed, null, 2);
|
||||
} catch {
|
||||
return props.toolCall.result;
|
||||
}
|
||||
});
|
||||
|
||||
const formatDuration = (seconds) => {
|
||||
if (seconds < 1) {
|
||||
return `${Math.round(seconds * 1000)}ms`;
|
||||
} else if (seconds < 60) {
|
||||
return `${seconds.toFixed(1)}s`;
|
||||
} else {
|
||||
const minutes = Math.floor(seconds / 60);
|
||||
const secs = Math.round(seconds % 60);
|
||||
return `${minutes}m ${secs}s`;
|
||||
}
|
||||
};
|
||||
|
||||
const toggleExpanded = () => {
|
||||
isExpanded.value = !isExpanded.value;
|
||||
};
|
||||
|
||||
const updateTime = () => {
|
||||
currentTime.value = Date.now() / 1000;
|
||||
};
|
||||
|
||||
onMounted(() => {
|
||||
// Update time periodically if tool call is running
|
||||
if (!props.toolCall.finished_ts) {
|
||||
timer = setInterval(updateTime, 100);
|
||||
}
|
||||
});
|
||||
|
||||
onUnmounted(() => {
|
||||
if (timer) {
|
||||
clearInterval(timer);
|
||||
}
|
||||
});
|
||||
</script>
|
||||
|
||||
<style scoped>
|
||||
.tool-call-card {
|
||||
border-radius: 8px;
|
||||
overflow: hidden;
|
||||
background-color: #eff3f6;
|
||||
margin: 8px 0px;
|
||||
width: fit-content;
|
||||
min-width: 320px;
|
||||
max-width: 100%;
|
||||
transition: all 0.1s ease;
|
||||
}
|
||||
|
||||
.tool-call-card.expanded {
|
||||
width: 100%;
|
||||
}
|
||||
|
||||
.tool-call-header {
|
||||
display: flex;
|
||||
align-items: center;
|
||||
padding: 10px 12px;
|
||||
cursor: pointer;
|
||||
user-select: none;
|
||||
transition: background-color 0.2s ease;
|
||||
gap: 8px;
|
||||
}
|
||||
|
||||
.tool-call-header:hover {
|
||||
background-color: rgba(169, 194, 219, 0.15);
|
||||
}
|
||||
|
||||
.tool-call-header.is-dark:hover {
|
||||
background-color: rgba(100, 150, 200, 0.2);
|
||||
}
|
||||
|
||||
.tool-call-expand-icon {
|
||||
color: var(--v-theme-secondary);
|
||||
transition: transform 0.2s ease;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-expand-icon.expanded {
|
||||
transform: rotate(90deg);
|
||||
}
|
||||
|
||||
.tool-call-icon {
|
||||
color: var(--v-theme-secondary);
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-info {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
gap: 2px;
|
||||
flex: 1;
|
||||
min-width: 0;
|
||||
}
|
||||
|
||||
.tool-call-name {
|
||||
font-size: 13px;
|
||||
font-weight: 600;
|
||||
color: var(--v-theme-secondary);
|
||||
}
|
||||
|
||||
.tool-call-status {
|
||||
margin-left: 8px;
|
||||
display: flex;
|
||||
align-items: center;
|
||||
gap: 4px;
|
||||
font-size: 12px;
|
||||
font-weight: 500;
|
||||
flex-shrink: 0;
|
||||
}
|
||||
|
||||
.tool-call-status.status-running {
|
||||
color: #ff9800;
|
||||
}
|
||||
|
||||
.tool-call-status.status-finished {
|
||||
color: #4caf50;
|
||||
}
|
||||
|
||||
.tool-call-status .status-icon {
|
||||
font-size: 14px;
|
||||
}
|
||||
|
||||
.tool-call-status .status-icon.spinning {
|
||||
animation: spin 1s linear infinite;
|
||||
}
|
||||
|
||||
.tool-call-details {
|
||||
padding: 12px;
|
||||
background-color: rgba(255, 255, 255, 0.5);
|
||||
animation: fadeIn 0.2s ease-in-out;
|
||||
}
|
||||
|
||||
.tool-call-detail-row {
|
||||
display: flex;
|
||||
flex-direction: column;
|
||||
margin-bottom: 8px;
|
||||
}
|
||||
|
||||
.tool-call-detail-row:last-child {
|
||||
margin-bottom: 0;
|
||||
}
|
||||
|
||||
.detail-label {
|
||||
font-size: 11px;
|
||||
font-weight: 600;
|
||||
color: var(--v-theme-secondaryText);
|
||||
text-transform: uppercase;
|
||||
letter-spacing: 0.5px;
|
||||
margin-bottom: 4px;
|
||||
}
|
||||
|
||||
.detail-value {
|
||||
font-size: 12px;
|
||||
color: var(--v-theme-primaryText);
|
||||
background-color: transparent;
|
||||
padding: 4px 8px;
|
||||
border-radius: 4px;
|
||||
word-break: break-all;
|
||||
}
|
||||
|
||||
.detail-json {
|
||||
font-family: 'Fira Code', 'Consolas', monospace;
|
||||
white-space: pre-wrap;
|
||||
max-height: 200px;
|
||||
overflow-y: auto;
|
||||
margin: 0;
|
||||
}
|
||||
|
||||
.detail-result {
|
||||
max-height: 300px;
|
||||
background-color: transparent;
|
||||
}
|
||||
|
||||
.animate-fade-in {
|
||||
animation: fadeIn 0.2s ease-in-out;
|
||||
}
|
||||
|
||||
@keyframes fadeIn {
|
||||
from {
|
||||
opacity: 0;
|
||||
}
|
||||
|
||||
to {
|
||||
opacity: 1;
|
||||
}
|
||||
}
|
||||
|
||||
@keyframes spin {
|
||||
from {
|
||||
transform: rotate(0deg);
|
||||
}
|
||||
|
||||
to {
|
||||
transform: rotate(360deg);
|
||||
}
|
||||
}
|
||||
</style>
|
||||
@@ -43,7 +43,11 @@
|
||||
"exitFullscreen": "Exit Fullscreen",
|
||||
"reply": "Reply",
|
||||
"providerConfig": "AI Configuration",
|
||||
"toolsUsed": "Tool Used"
|
||||
"toolsUsed": "Tool Used",
|
||||
"pythonCodeAnalysis": "Python Code Analysis Used"
|
||||
},
|
||||
"ipython": {
|
||||
"output": "Output"
|
||||
},
|
||||
"conversation": {
|
||||
"newConversation": "New Conversation",
|
||||
|
||||
@@ -133,6 +133,36 @@
|
||||
}
|
||||
}
|
||||
},
|
||||
"sandbox": {
|
||||
"description": "Agent Sandbox Env(Beta)",
|
||||
"provider_settings": {
|
||||
"sandbox": {
|
||||
"enable": {
|
||||
"description": "Enable Sandbox Env",
|
||||
"hint": "When enabled, Agent can use tools and resources in the sandbox environment, such as Python tool, Shell, etc."
|
||||
},
|
||||
"booter": {
|
||||
"description": "Sandbox Environment Driver"
|
||||
},
|
||||
"shipyard_endpoint": {
|
||||
"description": "Shipyard API Endpoint",
|
||||
"hint": "API access address for Shipyard service."
|
||||
},
|
||||
"shipyard_access_token": {
|
||||
"description": "Shipyard Access Token",
|
||||
"hint": "Access token for accessing Shipyard service."
|
||||
},
|
||||
"shipyard_ttl": {
|
||||
"description": "Shipyard Session TTL",
|
||||
"hint": "Session time-to-live in seconds."
|
||||
},
|
||||
"shipyard_max_sessions": {
|
||||
"description": "Shipyard Max Sessions",
|
||||
"hint": "Maximum number of Shipyard sessions an instance can handle."
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"truncate_and_compress": {
|
||||
"description": "Context Management Strategy",
|
||||
"provider_settings": {
|
||||
|
||||
@@ -43,7 +43,11 @@
|
||||
"exitFullscreen": "退出全屏",
|
||||
"reply": "引用回复",
|
||||
"providerConfig": "AI 配置",
|
||||
"toolsUsed": "已使用工具"
|
||||
"toolsUsed": "已使用工具",
|
||||
"pythonCodeAnalysis": "已使用 Python 代码分析"
|
||||
},
|
||||
"ipython": {
|
||||
"output": "输出"
|
||||
},
|
||||
"conversation": {
|
||||
"newConversation": "新的聊天",
|
||||
|
||||
@@ -133,6 +133,36 @@
|
||||
}
|
||||
}
|
||||
},
|
||||
"sandbox": {
|
||||
"description": "Agent 沙箱环境(Beta)",
|
||||
"provider_settings": {
|
||||
"sandbox": {
|
||||
"enable": {
|
||||
"description": "启用沙箱环境",
|
||||
"hint": "启用后,Agent 可以使用沙箱环境中的工具和资源,如 Python 代码执行、Shell 等。"
|
||||
},
|
||||
"booter": {
|
||||
"description": "沙箱环境驱动器"
|
||||
},
|
||||
"shipyard_endpoint": {
|
||||
"description": "Shipyard API Endpoint",
|
||||
"hint": "Shipyard 服务的 API 访问地址。"
|
||||
},
|
||||
"shipyard_access_token": {
|
||||
"description": "Shipyard 访问令牌",
|
||||
"hint": "用于访问 Shipyard 服务的访问令牌。"
|
||||
},
|
||||
"shipyard_ttl": {
|
||||
"description": "Shipyard Ship 存活时间(秒)",
|
||||
"hint": "Shipyard 会话的生存时间(秒)。"
|
||||
},
|
||||
"shipyard_max_sessions": {
|
||||
"description": "Shipyard Ship 会话复用上限",
|
||||
"hint": "决定了一个实例承载的最大会话数量。"
|
||||
}
|
||||
}
|
||||
}
|
||||
},
|
||||
"truncate_and_compress": {
|
||||
"description": "上下文管理策略",
|
||||
"provider_settings": {
|
||||
|
||||
@@ -60,6 +60,7 @@ dependencies = [
|
||||
"markitdown-no-magika[docx,xls,xlsx]>=0.1.2",
|
||||
"xinference-client",
|
||||
"tenacity>=9.1.2",
|
||||
"shipyard-python-sdk>=0.2.4",
|
||||
]
|
||||
|
||||
[dependency-groups]
|
||||
|
||||
+2
-1
@@ -52,4 +52,5 @@ rank-bm25>=0.2.2
|
||||
jieba>=0.42.1
|
||||
markitdown-no-magika[docx,xls,xlsx]>=0.1.2
|
||||
xinference-client
|
||||
tenacity>=9.1.2
|
||||
tenacity>=9.1.2
|
||||
shipyard-python-sdk>=0.2.4
|
||||
Reference in New Issue
Block a user