test package for yorg
Project description
YORG Test Package
this is a test package
test version
how to use
- Set up test version package
pip install -i https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple yorg-test
- Set up openapikey (If you are in China, please set up a proxy to ensure that you can connect to openai.)
import os
#os.environ['http_proxy'] = 'http://127.0.0.1:10809' # 这里设置自己的代理端口号
#os.environ['https_proxy'] = 'http://127.0.0.1:10809' # 这里设置自己的代理端口号
os.environ['OPENAI_CHAT_API_KEY'] = 'sk-br3j7Gxxxxxxxxvt8r'
- set up yaml file We have some tools built in eg.code_interpreter,swe_tool
tools.yaml
YORG: 0.0.1
info:
title: yorg_tools_document
description: yorg tool define document.
version: 'v1'
tools:
code_interpreter:
name: code_interpreter
entity_name: code_interpreter
summary: Run the code through code_interpreter and return the result of the code run. If your query is about math, computer science, or data science, you can use this tool to get the result of the code run.
parameters:
- name: code
description: code text that requires code_interpreter to run
required: true
parameter_schema:
type: string
responses:
success:
description: OK
content:
result:
type: string
description: the result of the code run
example_stateful_tool:
name: example_stateful_tool
entity_name: example_stateful_tool
summary: This tool is an example of a stateful tool. It will get two number from user input and return the sum of the two numbers.
parameters: []
responses: {}
swe_tool:
name: sew_tool
entity_name: swe_tool
summary: SoftWare Engineer Agent(swe_tool) specializes in working with code files.
parameters: []
responses: {}
Tools are categorized into stateful tools and function tools, Function tools can describe parameters and return values directly in tools.yaml Functions can be registered using decorators
from yorg_test.core.assistant.tools.tools import register_function_tool
@register_function_tool
def code_test(code: str):
return {
"type": "success",
"content": {
"result": "Hello, World!",
},
}
If it's a stateful tool you need to write an additional yaml file with a stateful description
start_stage: "init"
finish_stage: "finish"
all_stages:
init:
name: "init"
next_stage_entry:
stage_1:
- name: x
required: true
parameter_schema:
type: number
description: "input value x"
need_llm_generate_parameters: false
need_llm_generate_response: false
stage_1:
name: "stage_1"
next_stage_entry:
stage_2:
- name: y
required: true
parameter_schema:
type: number
description: "input value y"
need_llm_generate_parameters: false
need_llm_generate_response: false
stage_2:
name: "stage_2"
next_stage_entry:
stage_3: []
need_llm_generate_parameters: false
need_llm_generate_response: false
stage_3:
name: "stage_3"
next_stage_entry:
finish: []
need_llm_generate_parameters: false
need_llm_generate_response: false
finish:
name: "finish"
next_stage_entry: {}
need_llm_generate_parameters: false
need_llm_generate_response: false
Stateful tools can also be registered using decorators. The yaml file is registered in init.
from yorg_test.core.assistant.tools.tools import register_stateful_tool
from yorg_test.core.assistant.tools.stateful_tool_entity import StatefulToolEntity
@register_stateful_tool
class ExampleStatefulToolEntity(StatefulToolEntity):
"""
This example tool entity is stateful, and it has 3 inner stages.
stage1: take integer x as input
stage2: take integer y as input
stage3: no input, return x + y
"""
def __init__(self):
super().__init__("example_stateful_tool.yaml")
def _call(self, **kwargs):
if "goto" not in kwargs:
if self.current_stage.name == self.config.start_stage:
return {
"type": "success",
"content": {"message": "stateful tool is started"},
}
else:
return {
"type": "error",
"content": {"message": "please provide `goto` parameter"},
}
request_next_stage = kwargs["goto"]
if request_next_stage not in self.config.all_stages:
return {
"type": "error",
"content": {"message": f"stage {request_next_stage} not found"},
}
self.current_stage = self.config.all_stages[request_next_stage]
match self.current_stage.name:
case "stage_1":
return self._stage1(kwargs["x"])
case "stage_2":
return self._stage2(kwargs["y"])
case "stage_3":
return self._stage3()
case self.config.finish_stage:
return self._finish()
case _:
return {
"type": "error",
"content": {
"message": f"stage {self.current_stage.name} not found"
},
}
def _stage1(self, x: int):
self.x = x
return {"type": "success", "content": {"message": "stage1 done"}}
def _stage2(self, y: int):
self.y = y
return {"type": "success", "content": {"message": "stage2 done"}}
def _stage3(self):
return {"type": "success", "content": {"result": self.x + self.y}}
def _finish(self):
return {"type": "success", "content": {"message": "stateful tool is finished"}}
- run example
import yorg_test
threads = yorg_test.Threads.create('tools.yaml')
assistant = yorg_test.Assistants.create(name="Test Assistant", model="gpt-4-1106-preview", instructions="Use swe tool auto fix code files", tools=[{'type':'swe_tool'}])
print(assistant.id)
# 运行 Threads 对象
result = threads.run(assistant.id, "Use SoftWare Engineer Agent swe tool auto fix code files.")
print(result)
result = threads.run(assistant.id, "the repo url is https://github.com/YORG-AI/Open-Assistant",goto="stage_1")
print(result)
result = threads.run(assistant.id, "add helloworld feature to readme", goto="stage_2")
print(result)
result = threads.run(assistant.id, "focus_files_name_list = [README.md]", goto="stage_3")
print(result)
result = threads.run(assistant.id, "action=3", goto="stage_4")
print(result)
result = threads.run(assistant.id, "", goto="stage_5")
print(result)
result = threads.run(assistant.id, "action=0,action_idx=0", goto="stage_6")
print(result)
result = threads.run(assistant.id, "", goto="finish")
print(result)
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