plugin(tool) ver0.4.1 (#891)

* plugin(tool) fix bugs

* plugin(tool) tool插件更新至0.4.1 版本
This commit is contained in:
goldfish菌
2023-04-19 10:05:28 +08:00
committed by GitHub
parent a0cbe9c3e2
commit 0a7d6e4577
4 changed files with 74 additions and 25 deletions

View File

@@ -1,7 +1,7 @@
import json
import os
from chatgpt_tool_hub.apps import load_app
from chatgpt_tool_hub.apps import AppFactory
from chatgpt_tool_hub.apps.app import App
from chatgpt_tool_hub.tools.all_tool_list import get_all_tool_names
@@ -18,7 +18,7 @@ from plugins import *
@plugins.register(
name="tool",
desc="Arming your ChatGPT bot with various tools",
version="0.3",
version="0.4",
author="goldfishh",
desire_priority=0,
)
@@ -131,17 +131,17 @@ class Tool(Plugin):
def _build_tool_kwargs(self, kwargs: dict):
tool_model_name = kwargs.get("model_name")
request_timeout = kwargs.get("request_timeout")
return {
"debug": kwargs.get("debug", False),
"openai_api_key": conf().get("open_ai_api_key", ""),
"proxy": conf().get("proxy", ""),
"request_timeout": str(conf().get("request_timeout", 60)),
"request_timeout": request_timeout if request_timeout else conf().get("request_timeout", 120),
# note: 目前tool暂未对其他模型测试但这里仍对配置来源做了优先级区分一般插件配置可覆盖全局配置
"model_name": tool_model_name
if tool_model_name
else conf().get("model", "gpt-3.5-turbo"),
"model_name": tool_model_name if tool_model_name else conf().get("model", "gpt-3.5-turbo"),
"no_default": kwargs.get("no_default", False),
"top_k_results": kwargs.get("top_k_results", 2),
"top_k_results": kwargs.get("top_k_results", 3),
# for news tool
"news_api_key": kwargs.get("news_api_key", ""),
# for bing-search tool
@@ -157,8 +157,6 @@ class Tool(Plugin):
"zaobao_api_key": kwargs.get("zaobao_api_key", ""),
# for visual_dl tool
"cuda_device": kwargs.get("cuda_device", "cpu"),
# for browser tool
"phantomjs_exec_path": kwargs.get("phantomjs_exec_path", ""),
}
def _filter_tool_list(self, tool_list: list):
@@ -172,11 +170,12 @@ class Tool(Plugin):
def _reset_app(self) -> App:
tool_config = self._read_json()
app_kwargs = self._build_tool_kwargs(tool_config.get("kwargs", {}))
app = AppFactory()
app.init_env(**app_kwargs)
# filter not support tool
tool_list = self._filter_tool_list(tool_config.get("tools", []))
return load_app(
tools_list=tool_list,
**self._build_tool_kwargs(tool_config.get("kwargs", {})),
)
return app.create_app(tools_list=tool_list, **app_kwargs)