参考链接：

jupyter ai develop 开发文档

https://jupyter-ai.readthedocs.io/en/latest/developers/index.html

langchain custom LLM 开发文档

https://python.langchain.com/v0.1/docs/modules/model_io/llms/custom_llm/

 

stackoverflow :intergrate Local LLM with jupyter ai question

https://stackoverflow.com/questions/78989389/jupyterai-local-llm-integration/78989646#78989646

作者krassowski blog ,关于jupyter lab 有117个post

https://stackoverflow.com/users/6646912/krassowski 

 

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思路

1。Briefly, define the CustomLLM with something like:

from typing import Any, Dict, Iterator, List, Mapping, Optionalfrom langchain_core.callbacks.manager import CallbackManagerForLLMRun
from langchain_core.language_models.llms import LLM
from langchain_core.outputs import GenerationChunkclass CustomLLM(LLM):def _call(self,prompt: str,stop: Optional[List[str]] = None,run_manager: Optional[CallbackManagerForLLMRun] = None,**kwargs: Any,) -> str:payload = ... # TODO: pass `prompt` to payload here# TODO: define `headers`response = requests.request(method="POST", url="10.1xx.1xx.50:8084/generate", headers=headers, data=payload)return response.text  # TODO: change it accordingly@propertydef _llm_type(self) -> str:return "custom"

2。 create MyProvider

# my_package/my_provider.py
from jupyter_ai_magics import BaseProviderclass MyProvider(BaseProvider, CustomLLM):id = "my_provider"name = "My Provider"model_id_key = "model"models = ["your_model"]def __init__(self, **kwargs):model_id = kwargs.get("model_id")# you can use `model_id` in `CustomLLM` to change models within providersuper().__init__(**kwargs)

3。define an entrypoint 程序入口，配置pyproject.toml

# my_package/pyproject.toml
[project]
name = "my_package"
version = "0.0.1"[project.entry-points."jupyter_ai.model_providers"]
my-provider = "my_provider:MyProvider"

 

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部署

cd mypackage/
pip install -e .