From 3940a1398251a9dec890c7c6be7fd846ce6c384a Mon Sep 17 00:00:00 2001 From: Andrii Ieroshenko Date: Mon, 4 Dec 2023 11:03:18 -0800 Subject: [PATCH] Update Users section of the docs (#494) MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit * Update example of setting model provider and API key * resize screenshots * update chat settings screenshots * Promote “Custom model providers” and “Customizing prompt templates” to subsections, move them to the bottom of the users doc page * Update docs/source/users/index.md Co-authored-by: Michał Krassowski <5832902+krassowski@users.noreply.github.com> * Update docs/source/users/index.md Co-authored-by: Michał Krassowski <5832902+krassowski@users.noreply.github.com> * change double-backtick to single-backticks as they serve the same function * move Prompt templates sections to Developers page * Update snapshots to use the same zoom level * Update docs/source/developers/index.md Co-authored-by: Jason Weill <93281816+JasonWeill@users.noreply.github.com> * move "Custom model providers" section to Dev page * Update lang model choice screen to show OpenAI models mentioned in text around the screenshot --------- Co-authored-by: Michał Krassowski <5832902+krassowski@users.noreply.github.com> Co-authored-by: Jason Weill <93281816+JasonWeill@users.noreply.github.com> --- docs/source/_static/chat-getting-started.png | Bin 42758 -> 62053 bytes .../_static/chat-select-model-complete.png | Bin 25350 -> 54442 bytes docs/source/_static/chat-select-model.png | Bin 35596 -> 86872 bytes .../chat-settings-choose-language-model.png | Bin 0 -> 68198 bytes docs/source/developers/index.md | 104 +++++++++++++++ docs/source/users/index.md | 126 +++--------------- 6 files changed, 122 insertions(+), 108 deletions(-) create mode 100644 docs/source/_static/chat-settings-choose-language-model.png diff --git a/docs/source/_static/chat-getting-started.png b/docs/source/_static/chat-getting-started.png index 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Custom prompt templates are not used in the chat interface yet. diff --git a/docs/source/users/index.md b/docs/source/users/index.md index d9bc61424..084427bf8 100644 --- a/docs/source/users/index.md +++ b/docs/source/users/index.md @@ -155,12 +155,26 @@ in the SageMaker documentation. To use SageMaker's models, you will need to authenticate via [boto3](https://github.com/boto/boto3). -For example, to use OpenAI models, install the necessary package, and set an environment -variable when you start JupyterLab from a terminal: +For example, to use OpenAI models, use the chat interface settings panel to choose the OpenAI language model: + +Screen shot of the chat settings interface with language model dropdown open + +Then, enter your API key in the 'API Keys' section. + +Alternatively, to set the API key through a config file, first determine your data directory path by running the following command in your terminal: ```bash -pip install openai -OPENAI_API_KEY=your-api-key-here jupyter lab +echo "$(jupyter --data-dir)/jupyter_ai/config.json" +``` + +Then, add your API key to `config.json`: + +```json +"api_keys": { + "OPENAI_API_KEY": "your-api-key-here" +} ``` :::{attention} @@ -170,96 +184,6 @@ responsible for all charges they incur when they make API requests. Review your provider's pricing information before submitting requests via Jupyter AI. ::: -### Custom model providers - -You can define new providers using the LangChain framework API. Custom providers -inherit from both `jupyter-ai`'s ``BaseProvider`` and `langchain`'s [``LLM``][LLM]. -You can either import a pre-defined model from [LangChain LLM list][langchain_llms], -or define a [custom LLM][custom_llm]. -In the example below, we define a provider with two models using -a dummy ``FakeListLLM`` model, which returns responses from the ``responses`` -keyword argument. - -```python -# my_package/my_provider.py -from jupyter_ai_magics import BaseProvider -from langchain.llms import FakeListLLM - - -class MyProvider(BaseProvider, FakeListLLM): - id = "my_provider" - name = "My Provider" - model_id_key = "model" - models = [ - "model_a", - "model_b" - ] - def __init__(self, **kwargs): - model = kwargs.get("model_id") - kwargs["responses"] = ( - ["This is a response from model 'a'"] - if model == "model_a" else - ["This is a response from model 'b'"] - ) - super().__init__(**kwargs) -``` - - -If the new provider inherits from [``BaseChatModel``][BaseChatModel], it will be available -both in the chat UI and with magic commands. Otherwise, users can only use the new provider -with magic commands. - -To make the new provider available, you need to declare it as an [entry point](https://setuptools.pypa.io/en/latest/userguide/entry_point.html): - -```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" -``` - -To test that the above minimal provider package works, install it with: - -```sh -# from `my_package` directory -pip install -e . -``` - -Then, restart JupyterLab. You should now see an info message in the log that mentions -your new provider's `id`: - -``` -[I 2023-10-29 13:56:16.915 AiExtension] Registered model provider `my_provider`. -``` - -[langchain_llms]: https://api.python.langchain.com/en/latest/api_reference.html#module-langchain.llms -[custom_llm]: https://python.langchain.com/docs/modules/model_io/models/llms/custom_llm -[LLM]: https://api.python.langchain.com/en/latest/llms/langchain.llms.base.LLM.html#langchain.llms.base.LLM -[BaseChatModel]: https://api.python.langchain.com/en/latest/chat_models/langchain.chat_models.base.BaseChatModel.html - - -### Customizing prompt templates - -To modify the prompt template for a given format, override the ``get_prompt_template`` method: - -```python -from langchain.prompts import PromptTemplate - - -class MyProvider(BaseProvider, FakeListLLM): - # (... properties as above ...) - def get_prompt_template(self, format) -> PromptTemplate: - if format === "code": - return PromptTemplate.from_template( - "{prompt}\n\nProduce output as source code only, " - "with no text or explanation before or after it." - ) - return super().get_prompt_template(format) -``` - ## The chat interface The easiest way to get started with Jupyter AI is to use the chat interface. @@ -692,20 +616,6 @@ A function that computes the lowest common multiples of two integers, and a function that runs 5 test cases of the lowest common multiple function ``` -### Prompt templates - -Each provider can define **prompt templates** for each supported format. A prompt -template guides the language model to produce output in a particular -format. The default prompt templates are a -[Python dictionary mapping formats to templates](https://github.com/jupyterlab/jupyter-ai/blob/57a758fa5cdd5a87da5519987895aa688b3766a8/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py#L138-L166). -Developers who write subclasses of `BaseProvider` can override templates per -output format, per model, and based on the prompt being submitted, by -implementing their own -[`get_prompt_template` function](https://github.com/jupyterlab/jupyter-ai/blob/57a758fa5cdd5a87da5519987895aa688b3766a8/packages/jupyter-ai-magics/jupyter_ai_magics/providers.py#L186-L195). -Each prompt template includes the string `{prompt}`, which is replaced with -the user-provided prompt when the user runs a magic command. - - ### Clearing the OpenAI chat history With the `openai-chat` provider *only*, you can run a cell magic command using the `-r` or