■ AIMessageChunk 클래스의 tool_call_chunks 속성을 사용해 스트리밍시 도구 호출 청크를 구하는 방법을 보여준다.
▶ main.py
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 |
import os from langchain_core.pydantic_v1 import BaseModel, Field from langchain_openai import ChatOpenAI os.environ["OPENAI_API_KEY"] = "<OPENAI_API_KEY>" # 여기의 독스트링은 클래스 이름과 함께 모델에 전달되므로 매우 중요하다. class Add(BaseModel): """Add two integers together.""" a : int = Field(..., description = "First integer" ) b : int = Field(..., description = "Second integer") class Multiply(BaseModel): """Multiply two integers together.""" a : int = Field(..., description = "First integer" ) b : int = Field(..., description = "Second integer") toolList = [Add, Multiply] chatOpenAI = ChatOpenAI(model="gpt-3.5-turbo-0125") toolRunnableSequence = chatOpenAI.bind_tools(toolList) first = True for aiMessageChunk in toolRunnableSequence.stream("What is 3 * 12? Also, what is 11 + 49?"): if first: gatheredAIMessageChunk = aiMessageChunk first = False else: gatheredAIMessageChunk = gatheredAIMessageChunk + aiMessageChunk print(gatheredAIMessageChunk.tool_call_chunks) """ [] [{'name': 'Multiply', 'args': '', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}] [{'name': 'Multiply', 'args': '{"a"', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}] [{'name': 'Multiply', 'args': '{"a": 3, ', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 1', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 12}', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 12}', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}, {'name': 'Add', 'args': '', 'id': 'call_Sj87qFnbJT0Ch3cS3zL8rl3i', 'index': 1}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 12}', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}, {'name': 'Add', 'args': '{"a"', 'id': 'call_Sj87qFnbJT0Ch3cS3zL8rl3i', 'index': 1}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 12}', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}, {'name': 'Add', 'args': '{"a": 11,', 'id': 'call_Sj87qFnbJT0Ch3cS3zL8rl3i', 'index': 1}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 12}', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}, {'name': 'Add', 'args': '{"a": 11, "b": ', 'id': 'call_Sj87qFnbJT0Ch3cS3zL8rl3i', 'index': 1}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 12}', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}, {'name': 'Add', 'args': '{"a": 11, "b": 49}', 'id': 'call_Sj87qFnbJT0Ch3cS3zL8rl3i', 'index': 1}] [{'name': 'Multiply', 'args': '{"a": 3, "b": 12}', 'id': 'call_U7ToRCX2z02q3LLvtRnClJs9', 'index': 0}, {'name': 'Add', 'args': '{"a": 11, "b": 49}', 'id': 'call_Sj87qFnbJT0Ch3cS3zL8rl3i', 'index': 1}] """ |
▶ requirements.txt
|
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 |
aiohttp==3.9.5 aiosignal==1.3.1 annotated-types==0.7.0 anyio==4.4.0 async-timeout==4.0.3 attrs==23.2.0 certifi==2024.6.2 charset-normalizer==3.3.2 dataclasses-json==0.6.7 distro==1.9.0 exceptiongroup==1.2.1 frozenlist==1.4.1 greenlet==3.0.3 h11==0.14.0 httpcore==1.0.5 httpx==0.27.0 idna==3.7 jsonpatch==1.33 jsonpointer==3.0.0 langchain==0.2.5 langchain-community==0.2.5 langchain-core==0.2.7 langchain-experimental==0.0.61 langchain-openai==0.1.8 langchain-text-splitters==0.2.1 langsmith==0.1.77 marshmallow==3.21.3 multidict==6.0.5 mypy-extensions==1.0.0 numpy==1.26.4 openai==1.34.0 orjson==3.10.5 packaging==24.1 pydantic==2.7.4 pydantic_core==2.18.4 PyYAML==6.0.1 regex==2024.5.15 requests==2.32.3 sniffio==1.3.1 SQLAlchemy==2.0.30 tenacity==8.3.0 tiktoken==0.7.0 tqdm==4.66.4 typing-inspect==0.9.0 typing_extensions==4.12.2 urllib3==2.2.1 yarl==1.9.4 |
※ pip install langchain langchain_experimental langchain-openai 명령을 실행했다.