LLMCompiler执行数学计算的案例

from llmcompiler.tools.basic importTools
from llmcompiler.result.chat importChatRequest
from langchain_openai.chat_models.base importChatOpenAI
from llmcompiler.chat.run importRunLLMCompiler

chat =ChatRequest(
    message="1. (3*(4+5)/0.5)+3245)加8的结果是什么?除以100的结果是什么?分别计算这两个值的结果，然后求其平均值。"
"2. 32除以4.23等于多少，它们的乘积是多少?计算他们的平均值！"
"3. 所有平均值的乘积除以2是多少?")

tools =Tools.load_tools("../llmcompiler/tools/math")
print(tools)

llm =ChatOpenAI(model="gpt-4o", temperature=0, max_retries=3)

llm_compiler =RunLLMCompiler(chat, tools, llm, print_dag=True)
print(llm_compiler())

[Math()]
==========================初始化工具集和Agent：0.0秒==========================
We can convert a graph classintoMermaid syntax.
On https://www.min2k.com/tools/mermaid/, you can view visual results of Mermaid syntax.
%%{init:{'flowchart':{'curve':'linear'}}}%%
graph TD;
    __start__([__start__]):::first
    plan_and_schedule(plan_and_schedule)
    join(join)
    __end__([__end__]):::last
    __start__ --> plan_and_schedule;
    plan_and_schedule --> join;
    join -.-> plan_and_schedule;
    join -.-> __end__;
    classDef default fill:#f2f0ff,line-height:1.2
    classDef first fill-opacity:0
    classDef last fill:#bfb6fc

================================RewriterWithout LLM ================================
请基于用户问题，并结合相关信息和参考计划，生成一个专业且简洁的最少执行计划。
相关信息中可能会包含一些相关的数据信息可以作为`常量`使用，生成`Plan`时请认真检查。
但是切记不要构造用户问题和相关信息中没有提供的`常量`信息，例如基金代码没有提供则必须使用Tool查询，这很重要。

**用户问题**
1.((3*(4+5)/0.5)+3245)加8等于多少，除以100是多少？分别计算两个值的结果然后求平均值是多少？2.32除以4.23是多少，乘积是多少？计算他们的平均值！3.所有平均值的乘积除以二是多少？

**相关信息**


**参考计划**


Let’s think step by step!

================================PlanerCompiler================================
math
---
idx:1
tool: math
args:{'problem':'3*(4+5)/0.5 + 3245 + 8'}
dependencies:[]
thought:None
---

math
---
idx:2
tool: math
args:{'problem':'((3*(4+5)/0.5 + 3245) + 8) / 100'}
dependencies:[]
thought:None
---

math
---
idx:3
tool: math
args:{'problem':'32 / 4.23'}
dependencies:[]
thought:None
---

math
---
idx:4
tool: math
args:{'problem':'32 * 4.23'}
dependencies:[]
thought:None
---

math
---
idx:5
tool: math
args:{'problem':'($3 + $4) / 2','context':['$3','$4']}
args<Analyzed>:{'problem':'($3 + $4) / 2','context':[[7.565011820330969],[135.36]]}
dependencies:[3,4]
thought:None
---

math
---
idx:6
tool: math
args:{'problem':'($1 + $2) / 2','context':['$1','$2']}
args<Analyzed>:{'problem':'($1 + $2) / 2','context':[[3307],[33.07]]}
dependencies:[1,2]
thought:None
---
math
---
idx:7
tool: math
args:{'problem':'$5 * $6 / 2','context':['$5','$6']}
args<Analyzed>:{'problem':'$5 * $6 / 2','context':[[71.46250591016549],[1670.035]]}
dependencies:[5,6]
thought:None
---

---
idx:8
tool: join
args:()
dependencies:[1,2,3,4,5,6,7]
thought:None
---
We can convert a graph classintoMermaid syntax.
On https://www.min2k.com/tools/mermaid/, you can view visual results of Mermaid syntax.
%%{init:{'flowchart':{'curve':'linear'}}}%%
graph TD;
    __start__([__start__]):::first
    __end__([__end__]):::last
1(Task1 math)
2(Task2 math)
3(Task3 math)
4(Task4 math)
5(Task5 math)
6(Task6 math)
7(Task7 math)
8(Task8 join)
3-->5;
4-->5;
1-->6;
2-->6;
5-->7;
6-->7;
1-->8;
2-->8;
3-->8;
4-->8;
5-->8;
6-->8;
7-->8;
    __start__ -->1;
    __start__ -->2;
    __start__ -->3;
    __start__ -->4;
8--> __end__;
    classDef default fill:#f2f0ff,line-height:1.2
    classDef first fill-opacity:0
    classDef last fill:#bfb6fc

==========================Iteration1,['plan_and_schedule']:22.83秒==========================
================================Joiner================================
{
"_thought_":"我已经计算了所有需要的值，并且得到了最终的结果。",
"_finish_":"1. ((3*(4+5)/0.5)+3245)加8等于3307，除以100等于33.07。它们的平均值是1670.035。2. 32除以4.23等于7.565，乘积是135.36。它们的平均值是71.4625。3. 所有平均值的乘积除以二是59672.443。"
}
==========================Iteration1,['join']:5.0秒==========================
response='1. ((3*(4+5)/0.5)+3245)加8等于3307，除以100等于33.07。它们的平均值是1670.035。2. 32除以4.23等于7.565，乘积是135.36。它们的平均值是71.4625。3. 所有平均值的乘积除以二是59672.443。' charts=[] source=[] labels=[]

Process finished withexit code 0