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<!-- WEHUB_ZH_README -->
> [!NOTE]
> 本文档由 WeHub 基于上游 README 翻译整理,属于社区翻译,非官方中文文档。
> [English](./README.en.md) · [原始项目](https://github.com/simonw/llm) · [上游 README](https://github.com/simonw/llm/blob/HEAD/README.md)
> 原作者、版权与许可证归属以原始项目及本仓库 LICENSE 文件为准。
<!-- [[[cog
# README.md is generated from docs/index.md using sphinx_markdown_builder
import tempfile
@@ -22,54 +28,54 @@ cog.out(readme_markdown)
]]] -->
# LLM
[![GitHub repo](https://img.shields.io/badge/github-repo-green)](https://github.com/simonw/llm)
[![GitHub 仓库](https://img.shields.io/badge/github-repo-green)](https://github.com/simonw/llm)
[![PyPI](https://img.shields.io/pypi/v/llm.svg)](https://pypi.org/project/llm/)
[![Changelog](https://img.shields.io/github/v/release/simonw/llm?include_prereleases&label=changelog)](https://llm.datasette.io/en/stable/changelog.html)
[![Tests](https://github.com/simonw/llm/workflows/Test/badge.svg)](https://github.com/simonw/llm/actions?query=workflow%3ATest)
[![License](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm/blob/main/LICENSE)
[![更新日志](https://img.shields.io/github/v/release/simonw/llm?include_prereleases&label=changelog)](https://llm.datasette.io/en/stable/changelog.html)
[![测试](https://github.com/simonw/llm/workflows/Test/badge.svg)](https://github.com/simonw/llm/actions?query=workflow%3ATest)
[![许可证](https://img.shields.io/badge/license-Apache%202.0-blue.svg)](https://github.com/simonw/llm/blob/main/LICENSE)
[![Discord](https://img.shields.io/discord/823971286308356157?label=discord)](https://datasette.io/discord-llm)
[![Homebrew](https://img.shields.io/homebrew/installs/dy/llm?color=yellow&label=homebrew&logo=homebrew)](https://formulae.brew.sh/formula/llm)
A CLI tool and Python library for interacting with **OpenAI**, **Anthropics Claude**, **Googles Gemini**, **Metas Llama** and dozens of other Large Language Models, both via remote APIs and with models that can be installed and run on your own machine.
一款 CLI 工具和 Python 库,用于与 **OpenAI****Anthropic Claude**、**Google Gemini**、**Meta Llama** 以及数十种其他大语言模型(Large Language ModelLLM)交互,既可通过远程 API,也可使用可在你本机安装和运行的模型。
Watch **[Language models on the command-line](https://www.youtube.com/watch?v=QUXQNi6jQ30)** on YouTube for a demo or [read the accompanying detailed notes](https://simonwillison.net/2024/Jun/17/cli-language-models/).
在 YouTube 上观看 **[命令行上的语言模型](https://www.youtube.com/watch?v=QUXQNi6jQ30)** 演示,或[阅读配套的详细笔记](https://simonwillison.net/2024/Jun/17/cli-language-models/).
With LLM you can:
使用 LLM,你可以:
- [Run prompts from the command-line](https://llm.datasette.io/en/stable/usage.html#usage-executing-prompts)
- [Store prompts and responses in SQLite](https://llm.datasette.io/en/stable/logging.html#logging)
- [Generate and store embeddings](https://llm.datasette.io/en/stable/embeddings/index.html#embeddings)
- [Extract structured content from text and images](https://llm.datasette.io/en/stable/schemas.html#schemas)
- [Grant models the ability to execute tools](https://llm.datasette.io/en/stable/tools.html#tools)
-and much, much more
- [从命令行运行提示词](https://llm.datasette.io/en/stable/usage.html#usage-executing-prompts)
- [将提示词和响应存储在 SQLite](https://llm.datasette.io/en/stable/logging.html#logging)
- [生成并存储嵌入向量(embeddings](https://llm.datasette.io/en/stable/embeddings/index.html#embeddings)
- [从文本和图像中提取结构化内容](https://llm.datasette.io/en/stable/schemas.html#schemas)
- [赋予模型执行工具的能力](https://llm.datasette.io/en/stable/tools.html#tools)
-以及更多、更多功能
## Quick start
## 快速入门
First, install LLM using `pip` or Homebrew or `pipx` or `uv`:
首先,使用 `pip` Homebrew `pipx` `uv` 安装 LLM
```bash
pip install llm
```
Or with Homebrew (see [warning note](https://llm.datasette.io/en/stable/setup.html#homebrew-warning)):
或使用 Homebrew(参见[警告说明](https://llm.datasette.io/en/stable/setup.html#homebrew-warning)):
```bash
brew install llm
```
Or with [pipx](https://pypa.github.io/pipx/):
或使用 [pipx](https://pypa.github.io/pipx/):
```bash
pipx install llm
```
Or with [uv](https://docs.astral.sh/uv/guides/tools/)
或使用 [uv](https://docs.astral.sh/uv/guides/tools/)
```bash
uv tool install llm
```
If you have an [OpenAI API key](https://platform.openai.com/api-keys) key you can run this:
如果你有 [OpenAI API 密钥](https://platform.openai.com/api-keys),可以运行以下命令:
```bash
# Paste your OpenAI API key into this
@@ -85,7 +91,7 @@ llm "extract text" -a scanned-document.jpg
cat myfile.py | llm -s "Explain this code"
```
Run prompts against [Gemini](https://aistudio.google.com/apikey) or [Anthropic](https://console.anthropic.com/) with their respective plugins:
使用各自插件对 [Gemini](https://aistudio.google.com/apikey) [Anthropic](https://console.anthropic.com/) 运行提示词:
```bash
llm install llm-gemini
@@ -99,7 +105,7 @@ llm keys set anthropic
llm -m claude-4-opus 'Impress me with wild facts about turnips'
```
You can also [install a plugin](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#installing-plugins) to access models that can run on your local device. If you use [Ollama](https://ollama.com/):
你还可以[安装插件](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#installing-plugins) 以访问可在本地设备上运行的模型。如果你使用 [Ollama](https://ollama.com/):
```bash
# Install the plugin
@@ -110,7 +116,7 @@ ollama pull llama3.2:latest
llm -m llama3.2:latest 'What is the capital of France?'
```
To start [an interactive chat](https://llm.datasette.io/en/stable/usage.html#usage-chat) with a model, use `llm chat`:
要启动与模型的[交互式聊天](https://llm.datasette.io/en/stable/usage.html#usage-chat),请使用 `llm chat`
```bash
llm chat -m gpt-4.1
@@ -128,216 +134,216 @@ Why don't pelicans like to tip waiters?
Because they always have a big bill!
```
More background on this project:
关于本项目的更多背景:
- [llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs](https://simonwillison.net/2023/May/18/cli-tools-for-llms/)
- [The LLM CLI tool now supports self-hosted language models via plugins](https://simonwillison.net/2023/Jul/12/llm/)
- [LLM now provides tools for working with embeddings](https://simonwillison.net/2023/Sep/4/llm-embeddings/)
- [Build an image search engine with llm-clip, chat with models with llm chat](https://simonwillison.net/2023/Sep/12/llm-clip-and-chat/)
- [You can now run prompts against images, audio and video in your terminal using LLM](https://simonwillison.net/2024/Oct/29/llm-multi-modal/)
- [Structured data extraction from unstructured content using LLM schemas](https://simonwillison.net/2025/Feb/28/llm-schemas/)
- [Long context support in LLM 0.24 using fragments and template plugins](https://simonwillison.net/2025/Apr/7/long-context-llm/)
- [llmttok strip-tags——用于 ChatGPT 及其他 LLM 的 CLI 工具](https://simonwillison.net/2023/May/18/cli-tools-for-llms/)
- [LLM CLI 工具现已通过插件支持自托管语言模型](https://simonwillison.net/2023/Jul/12/llm/)
- [LLM 现已提供用于处理嵌入向量的工具](https://simonwillison.net/2023/Sep/4/llm-embeddings/)
- [使用 llm-clip 构建图像搜索引擎,使用 llm chat 与模型对话](https://simonwillison.net/2023/Sep/12/llm-clip-and-chat/)
- [你现在可以在终端中使用 LLM 对图像、音频和视频运行提示词](https://simonwillison.net/2024/Oct/29/llm-multi-modal/)
- [使用 LLM 模式(schema)从非结构化内容中提取结构化数据](https://simonwillison.net/2025/Feb/28/llm-schemas/)
- [LLM 0.24 通过片段(fragment)和模板插件支持长上下文](https://simonwillison.net/2025/Apr/7/long-context-llm/)
See also [the llm tag](https://simonwillison.net/tags/llm/) on my blog.
另请参阅我博客上的 [llm 标签](https://simonwillison.net/tags/llm/)
## Contents
## 目录
* [Setup](https://llm.datasette.io/en/stable/setup.html)
* [Installation](https://llm.datasette.io/en/stable/setup.html#installation)
* [Upgrading to the latest version](https://llm.datasette.io/en/stable/setup.html#upgrading-to-the-latest-version)
* [Using uvx](https://llm.datasette.io/en/stable/setup.html#using-uvx)
* [A note about Homebrew and PyTorch](https://llm.datasette.io/en/stable/setup.html#a-note-about-homebrew-and-pytorch)
* [Installing plugins](https://llm.datasette.io/en/stable/setup.html#installing-plugins)
* [API key management](https://llm.datasette.io/en/stable/setup.html#api-key-management)
* [Saving and using stored keys](https://llm.datasette.io/en/stable/setup.html#saving-and-using-stored-keys)
* [Passing keys using the key option](https://llm.datasette.io/en/stable/setup.html#passing-keys-using-the-key-option)
* [Keys in environment variables](https://llm.datasette.io/en/stable/setup.html#keys-in-environment-variables)
* [Configuration](https://llm.datasette.io/en/stable/setup.html#configuration)
* [Setting a custom default model](https://llm.datasette.io/en/stable/setup.html#setting-a-custom-default-model)
* [Setting a custom directory location](https://llm.datasette.io/en/stable/setup.html#setting-a-custom-directory-location)
* [Turning SQLite logging on and off](https://llm.datasette.io/en/stable/setup.html#turning-sqlite-logging-on-and-off)
* [Usage](https://llm.datasette.io/en/stable/usage.html)
* [Executing a prompt](https://llm.datasette.io/en/stable/usage.html#executing-a-prompt)
* [Model options](https://llm.datasette.io/en/stable/usage.html#model-options)
* [Attachments](https://llm.datasette.io/en/stable/usage.html#attachments)
* [System prompts](https://llm.datasette.io/en/stable/usage.html#system-prompts)
* [Tools](https://llm.datasette.io/en/stable/usage.html#tools)
* [Extracting fenced code blocks](https://llm.datasette.io/en/stable/usage.html#extracting-fenced-code-blocks)
* [Schemas](https://llm.datasette.io/en/stable/usage.html#schemas)
* [Fragments](https://llm.datasette.io/en/stable/usage.html#fragments)
* [Continuing a conversation](https://llm.datasette.io/en/stable/usage.html#continuing-a-conversation)
* [Tips for using LLM with Bash or Zsh](https://llm.datasette.io/en/stable/usage.html#tips-for-using-llm-with-bash-or-zsh)
* [Completion prompts](https://llm.datasette.io/en/stable/usage.html#completion-prompts)
* [Starting an interactive chat](https://llm.datasette.io/en/stable/usage.html#starting-an-interactive-chat)
* [Listing available models](https://llm.datasette.io/en/stable/usage.html#listing-available-models)
* [Setting default options for models](https://llm.datasette.io/en/stable/usage.html#setting-default-options-for-models)
* [OpenAI models](https://llm.datasette.io/en/stable/openai-models.html)
* [Configuration](https://llm.datasette.io/en/stable/openai-models.html#configuration)
* [OpenAI language models](https://llm.datasette.io/en/stable/openai-models.html#openai-language-models)
* [Model features](https://llm.datasette.io/en/stable/openai-models.html#model-features)
* [OpenAI embedding models](https://llm.datasette.io/en/stable/openai-models.html#openai-embedding-models)
* [OpenAI completion models](https://llm.datasette.io/en/stable/openai-models.html#openai-completion-models)
* [Adding more OpenAI models](https://llm.datasette.io/en/stable/openai-models.html#adding-more-openai-models)
* [Other models](https://llm.datasette.io/en/stable/other-models.html)
* [Installing and using a local model](https://llm.datasette.io/en/stable/other-models.html#installing-and-using-a-local-model)
* [OpenAI-compatible models](https://llm.datasette.io/en/stable/other-models.html#openai-compatible-models)
* [Extra HTTP headers](https://llm.datasette.io/en/stable/other-models.html#extra-http-headers)
* [Tools](https://llm.datasette.io/en/stable/tools.html)
* [How tools work](https://llm.datasette.io/en/stable/tools.html#how-tools-work)
* [Trying out tools](https://llm.datasette.io/en/stable/tools.html#trying-out-tools)
* [LLMs implementation of tools](https://llm.datasette.io/en/stable/tools.html#llm-s-implementation-of-tools)
* [Default tools](https://llm.datasette.io/en/stable/tools.html#default-tools)
* [Tips for implementing tools](https://llm.datasette.io/en/stable/tools.html#tips-for-implementing-tools)
* [Schemas](https://llm.datasette.io/en/stable/schemas.html)
* [Schemas tutorial](https://llm.datasette.io/en/stable/schemas.html#schemas-tutorial)
* [Getting started with dogs](https://llm.datasette.io/en/stable/schemas.html#getting-started-with-dogs)
* [Extracting people from a news articles](https://llm.datasette.io/en/stable/schemas.html#extracting-people-from-a-news-articles)
* [Using JSON schemas](https://llm.datasette.io/en/stable/schemas.html#using-json-schemas)
* [Ways to specify a schema](https://llm.datasette.io/en/stable/schemas.html#ways-to-specify-a-schema)
* [Concise LLM schema syntax](https://llm.datasette.io/en/stable/schemas.html#concise-llm-schema-syntax)
* [Saving reusable schemas in templates](https://llm.datasette.io/en/stable/schemas.html#saving-reusable-schemas-in-templates)
* [Browsing logged JSON objects created using schemas](https://llm.datasette.io/en/stable/schemas.html#browsing-logged-json-objects-created-using-schemas)
* [Templates](https://llm.datasette.io/en/stable/templates.html)
* [Getting started with <code>save</code>](https://llm.datasette.io/en/stable/templates.html#getting-started-with-save)
* [Using a template](https://llm.datasette.io/en/stable/templates.html#using-a-template)
* [Listing available templates](https://llm.datasette.io/en/stable/templates.html#listing-available-templates)
* [Templates as YAML files](https://llm.datasette.io/en/stable/templates.html#templates-as-yaml-files)
* [System prompts](https://llm.datasette.io/en/stable/templates.html#system-prompts)
* [Fragments](https://llm.datasette.io/en/stable/templates.html#fragments)
* [Options](https://llm.datasette.io/en/stable/templates.html#options)
* [Tools](https://llm.datasette.io/en/stable/templates.html#tools)
* [Schemas](https://llm.datasette.io/en/stable/templates.html#schemas)
* [Additional template variables](https://llm.datasette.io/en/stable/templates.html#additional-template-variables)
* [Specifying default parameters](https://llm.datasette.io/en/stable/templates.html#specifying-default-parameters)
* [Configuring code extraction](https://llm.datasette.io/en/stable/templates.html#configuring-code-extraction)
* [Setting a default model for a template](https://llm.datasette.io/en/stable/templates.html#setting-a-default-model-for-a-template)
* [Template loaders from plugins](https://llm.datasette.io/en/stable/templates.html#template-loaders-from-plugins)
* [Fragments](https://llm.datasette.io/en/stable/fragments.html)
* [Using fragments in a prompt](https://llm.datasette.io/en/stable/fragments.html#using-fragments-in-a-prompt)
* [Using fragments in chat](https://llm.datasette.io/en/stable/fragments.html#using-fragments-in-chat)
* [Browsing fragments](https://llm.datasette.io/en/stable/fragments.html#browsing-fragments)
* [Setting aliases for fragments](https://llm.datasette.io/en/stable/fragments.html#setting-aliases-for-fragments)
* [Viewing fragments in your logs](https://llm.datasette.io/en/stable/fragments.html#viewing-fragments-in-your-logs)
* [Using fragments from plugins](https://llm.datasette.io/en/stable/fragments.html#using-fragments-from-plugins)
* [Listing available fragment prefixes](https://llm.datasette.io/en/stable/fragments.html#listing-available-fragment-prefixes)
* [Model aliases](https://llm.datasette.io/en/stable/aliases.html)
* [Listing aliases](https://llm.datasette.io/en/stable/aliases.html#listing-aliases)
* [Adding a new alias](https://llm.datasette.io/en/stable/aliases.html#adding-a-new-alias)
* [Removing an alias](https://llm.datasette.io/en/stable/aliases.html#removing-an-alias)
* [Viewing the aliases file](https://llm.datasette.io/en/stable/aliases.html#viewing-the-aliases-file)
* [Embeddings](https://llm.datasette.io/en/stable/embeddings/index.html)
* [Embedding with the CLI](https://llm.datasette.io/en/stable/embeddings/cli.html)
* [设置](https://llm.datasette.io/en/stable/setup.html)
* [安装](https://llm.datasette.io/en/stable/setup.html#installation)
* [升级到最新版本](https://llm.datasette.io/en/stable/setup.html#upgrading-to-the-latest-version)
* [使用 uvx](https://llm.datasette.io/en/stable/setup.html#using-uvx)
* [关于 Homebrew PyTorch 的说明](https://llm.datasette.io/en/stable/setup.html#a-note-about-homebrew-and-pytorch)
* [安装插件](https://llm.datasette.io/en/stable/setup.html#installing-plugins)
* [API 密钥管理](https://llm.datasette.io/en/stable/setup.html#api-key-management)
* [保存和使用已存储的密钥](https://llm.datasette.io/en/stable/setup.html#saving-and-using-stored-keys)
* [使用 key 选项传递密钥](https://llm.datasette.io/en/stable/setup.html#passing-keys-using-the-key-option)
* [环境变量中的密钥](https://llm.datasette.io/en/stable/setup.html#keys-in-environment-variables)
* [配置](https://llm.datasette.io/en/stable/setup.html#configuration)
* [设置自定义默认模型](https://llm.datasette.io/en/stable/setup.html#setting-a-custom-default-model)
* [设置自定义目录位置](https://llm.datasette.io/en/stable/setup.html#setting-a-custom-directory-location)
* [开启和关闭 SQLite 日志记录](https://llm.datasette.io/en/stable/setup.html#turning-sqlite-logging-on-and-off)
* [用法](https://llm.datasette.io/en/stable/usage.html)
* [执行提示词](https://llm.datasette.io/en/stable/usage.html#executing-a-prompt)
* [模型选项](https://llm.datasette.io/en/stable/usage.html#model-options)
* [附件](https://llm.datasette.io/en/stable/usage.html#attachments)
* [系统提示词](https://llm.datasette.io/en/stable/usage.html#system-prompts)
* [工具](https://llm.datasette.io/en/stable/usage.html#tools)
* [提取围栏代码块](https://llm.datasette.io/en/stable/usage.html#extracting-fenced-code-blocks)
* [模式(Schema](https://llm.datasette.io/en/stable/usage.html#schemas)
* [片段(Fragment](https://llm.datasette.io/en/stable/usage.html#fragments)
* [继续对话](https://llm.datasette.io/en/stable/usage.html#continuing-a-conversation)
* [ Bash Zsh 中使用 LLM 的技巧](https://llm.datasette.io/en/stable/usage.html#tips-for-using-llm-with-bash-or-zsh)
* [补全提示词](https://llm.datasette.io/en/stable/usage.html#completion-prompts)
* [启动交互式聊天](https://llm.datasette.io/en/stable/usage.html#starting-an-interactive-chat)
* [列出可用模型](https://llm.datasette.io/en/stable/usage.html#listing-available-models)
* [为模型设置默认选项](https://llm.datasette.io/en/stable/usage.html#setting-default-options-for-models)
* [OpenAI 模型](https://llm.datasette.io/en/stable/openai-models.html)
* [配置](https://llm.datasette.io/en/stable/openai-models.html#configuration)
* [OpenAI 语言模型](https://llm.datasette.io/en/stable/openai-models.html#openai-language-models)
* [模型特性](https://llm.datasette.io/en/stable/openai-models.html#model-features)
* [OpenAI 嵌入模型](https://llm.datasette.io/en/stable/openai-models.html#openai-embedding-models)
* [OpenAI 补全模型](https://llm.datasette.io/en/stable/openai-models.html#openai-completion-models)
* [添加更多 OpenAI 模型](https://llm.datasette.io/en/stable/openai-models.html#adding-more-openai-models)
* [其他模型](https://llm.datasette.io/en/stable/other-models.html)
* [安装和使用本地模型](https://llm.datasette.io/en/stable/other-models.html#installing-and-using-a-local-model)
* [兼容 OpenAI 的模型](https://llm.datasette.io/en/stable/other-models.html#openai-compatible-models)
* [额外的 HTTP 标头](https://llm.datasette.io/en/stable/other-models.html#extra-http-headers)
* [工具](https://llm.datasette.io/en/stable/tools.html)
* [工具的工作原理](https://llm.datasette.io/en/stable/tools.html#how-tools-work)
* [试用工具](https://llm.datasette.io/en/stable/tools.html#trying-out-tools)
* [LLM 的工具实现](https://llm.datasette.io/en/stable/tools.html#llm-s-implementation-of-tools)
* [默认工具](https://llm.datasette.io/en/stable/tools.html#default-tools)
* [实现工具的技巧](https://llm.datasette.io/en/stable/tools.html#tips-for-implementing-tools)
* [模式(Schema](https://llm.datasette.io/en/stable/schemas.html)
* [模式教程](https://llm.datasette.io/en/stable/schemas.html#schemas-tutorial)
* [从狗(dogs)示例入门](https://llm.datasette.io/en/stable/schemas.html#getting-started-with-dogs)
* [从新闻文章中提取人物](https://llm.datasette.io/en/stable/schemas.html#extracting-people-from-a-news-articles)
* [使用 JSON 模式](https://llm.datasette.io/en/stable/schemas.html#using-json-schemas)
* [指定模式的方式](https://llm.datasette.io/en/stable/schemas.html#ways-to-specify-a-schema)
* [简洁的 LLM 模式语法](https://llm.datasette.io/en/stable/schemas.html#concise-llm-schema-syntax)
* [在模板中保存可复用的模式](https://llm.datasette.io/en/stable/schemas.html#saving-reusable-schemas-in-templates)
* [浏览使用模式创建的已记录 JSON 对象](https://llm.datasette.io/en/stable/schemas.html#browsing-logged-json-objects-created-using-schemas)
* [模板](https://llm.datasette.io/en/stable/templates.html)
* [<code>save</code> 入门](https://llm.datasette.io/en/stable/templates.html#getting-started-with-save)
* [使用模板](https://llm.datasette.io/en/stable/templates.html#using-a-template)
* [列出可用模板](https://llm.datasette.io/en/stable/templates.html#listing-available-templates)
* [作为 YAML 文件的模板](https://llm.datasette.io/en/stable/templates.html#templates-as-yaml-files)
* [系统提示词](https://llm.datasette.io/en/stable/templates.html#system-prompts)
* [片段](https://llm.datasette.io/en/stable/templates.html#fragments)
* [选项](https://llm.datasette.io/en/stable/templates.html#options)
* [工具](https://llm.datasette.io/en/stable/templates.html#tools)
* [模式](https://llm.datasette.io/en/stable/templates.html#schemas)
* [额外的模板变量](https://llm.datasette.io/en/stable/templates.html#additional-template-variables)
* [指定默认参数](https://llm.datasette.io/en/stable/templates.html#specifying-default-parameters)
* [配置代码提取](https://llm.datasette.io/en/stable/templates.html#configuring-code-extraction)
* [为模板设置默认模型](https://llm.datasette.io/en/stable/templates.html#setting-a-default-model-for-a-template)
* [来自插件的模板加载器](https://llm.datasette.io/en/stable/templates.html#template-loaders-from-plugins)
* [片段](https://llm.datasette.io/en/stable/fragments.html)
* [在提示词中使用片段](https://llm.datasette.io/en/stable/fragments.html#using-fragments-in-a-prompt)
* [在聊天中使用片段](https://llm.datasette.io/en/stable/fragments.html#using-fragments-in-chat)
* [浏览片段](https://llm.datasette.io/en/stable/fragments.html#browsing-fragments)
* [为片段设置别名](https://llm.datasette.io/en/stable/fragments.html#setting-aliases-for-fragments)
* [在日志中查看片段](https://llm.datasette.io/en/stable/fragments.html#viewing-fragments-in-your-logs)
* [使用来自插件的片段](https://llm.datasette.io/en/stable/fragments.html#using-fragments-from-plugins)
* [列出可用的片段前缀](https://llm.datasette.io/en/stable/fragments.html#listing-available-fragment-prefixes)
* [模型别名](https://llm.datasette.io/en/stable/aliases.html)
* [列出别名](https://llm.datasette.io/en/stable/aliases.html#listing-aliases)
* [添加新别名](https://llm.datasette.io/en/stable/aliases.html#adding-a-new-alias)
* [删除别名](https://llm.datasette.io/en/stable/aliases.html#removing-an-alias)
* [查看别名文件](https://llm.datasette.io/en/stable/aliases.html#viewing-the-aliases-file)
* [嵌入向量(Embeddings](https://llm.datasette.io/en/stable/embeddings/index.html)
* [使用 CLI 生成嵌入](https://llm.datasette.io/en/stable/embeddings/cli.html)
* [llm embed](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-embed)
* [llm embed-multi](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-embed-multi)
* [llm similar](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-similar)
* [llm embed-models](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-embed-models)
* [llm collections list](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-collections-list)
* [llm collections delete](https://llm.datasette.io/en/stable/embeddings/cli.html#llm-collections-delete)
* [Using embeddings from Python](https://llm.datasette.io/en/stable/embeddings/python-api.html)
* [Working with collections](https://llm.datasette.io/en/stable/embeddings/python-api.html#working-with-collections)
* [Retrieving similar items](https://llm.datasette.io/en/stable/embeddings/python-api.html#retrieving-similar-items)
* [SQL schema](https://llm.datasette.io/en/stable/embeddings/python-api.html#sql-schema)
* [Writing plugins to add new embedding models](https://llm.datasette.io/en/stable/embeddings/writing-plugins.html)
* [从 Python 使用嵌入向量](https://llm.datasette.io/en/stable/embeddings/python-api.html)
* [使用集合](https://llm.datasette.io/en/stable/embeddings/python-api.html#working-with-collections)
* [检索相似项](https://llm.datasette.io/en/stable/embeddings/python-api.html#retrieving-similar-items)
* [SQL 模式](https://llm.datasette.io/en/stable/embeddings/python-api.html#sql-schema)
* [编写插件以添加新的嵌入模型](https://llm.datasette.io/en/stable/embeddings/writing-plugins.html)
* [`EmbeddingModel`](https://llm.datasette.io/en/stable/embeddings/writing-plugins.html#llm.EmbeddingModel)
* [Embedding binary content](https://llm.datasette.io/en/stable/embeddings/writing-plugins.html#embedding-binary-content)
* [Embedding storage format](https://llm.datasette.io/en/stable/embeddings/storage.html)
* [Plugins](https://llm.datasette.io/en/stable/plugins/index.html)
* [Installing plugins](https://llm.datasette.io/en/stable/plugins/installing-plugins.html)
* [Listing installed plugins](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#listing-installed-plugins)
* [Running with a subset of plugins](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#running-with-a-subset-of-plugins)
* [Plugin directory](https://llm.datasette.io/en/stable/plugins/directory.html)
* [Local models](https://llm.datasette.io/en/stable/plugins/directory.html#local-models)
* [Remote APIs](https://llm.datasette.io/en/stable/plugins/directory.html#remote-apis)
* [Tools](https://llm.datasette.io/en/stable/plugins/directory.html#tools)
* [Fragments and template loaders](https://llm.datasette.io/en/stable/plugins/directory.html#fragments-and-template-loaders)
* [Embedding models](https://llm.datasette.io/en/stable/plugins/directory.html#embedding-models)
* [Extra commands](https://llm.datasette.io/en/stable/plugins/directory.html#extra-commands)
* [Just for fun](https://llm.datasette.io/en/stable/plugins/directory.html#just-for-fun)
* [Plugin hooks](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html)
* [嵌入二进制内容](https://llm.datasette.io/en/stable/embeddings/writing-plugins.html#embedding-binary-content)
* [嵌入存储格式](https://llm.datasette.io/en/stable/embeddings/storage.html)
* [插件](https://llm.datasette.io/en/stable/plugins/index.html)
* [安装插件](https://llm.datasette.io/en/stable/plugins/installing-plugins.html)
* [列出已安装的插件](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#listing-installed-plugins)
* [使用部分插件运行](https://llm.datasette.io/en/stable/plugins/installing-plugins.html#running-with-a-subset-of-plugins)
* [插件目录](https://llm.datasette.io/en/stable/plugins/directory.html)
* [本地模型](https://llm.datasette.io/en/stable/plugins/directory.html#local-models)
* [远程 API](https://llm.datasette.io/en/stable/plugins/directory.html#remote-apis)
* [工具](https://llm.datasette.io/en/stable/plugins/directory.html#tools)
* [片段和模板加载器](https://llm.datasette.io/en/stable/plugins/directory.html#fragments-and-template-loaders)
* [嵌入模型](https://llm.datasette.io/en/stable/plugins/directory.html#embedding-models)
* [额外命令](https://llm.datasette.io/en/stable/plugins/directory.html#extra-commands)
* [仅供娱乐](https://llm.datasette.io/en/stable/plugins/directory.html#just-for-fun)
* [插件钩子](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html)
* [register_commands(cli)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-commands-cli)
* [register_models(register, model_aliases)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-models-register-model-aliases)
* [register_embedding_models(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-embedding-models-register)
* [register_tools(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-tools-register)
* [register_template_loaders(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-template-loaders-register)
* [register_fragment_loaders(register)](https://llm.datasette.io/en/stable/plugins/plugin-hooks.html#register-fragment-loaders-register)
* [Developing a model plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html)
* [The initial structure of the plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#the-initial-structure-of-the-plugin)
* [Installing your plugin to try it out](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#installing-your-plugin-to-try-it-out)
* [Building the Markov chain](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#building-the-markov-chain)
* [Executing the Markov chain](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#executing-the-markov-chain)
* [Adding that to the plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-that-to-the-plugin)
* [Understanding execute()](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#understanding-execute)
* [Prompts and responses are logged to the database](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#prompts-and-responses-are-logged-to-the-database)
* [Adding options](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-options)
* [Distributing your plugin](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#distributing-your-plugin)
* [GitHub repositories](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#github-repositories)
* [Publishing plugins to PyPI](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#publishing-plugins-to-pypi)
* [Adding metadata](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-metadata)
* [What to do if it breaks](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#what-to-do-if-it-breaks)
* [Advanced model plugins](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html)
* [Tip: lazily load expensive dependencies](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tip-lazily-load-expensive-dependencies)
* [Models that accept API keys](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#models-that-accept-api-keys)
* [Async models](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#async-models)
* [Supporting schemas](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#supporting-schemas)
* [Supporting tools](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#supporting-tools)
* [Attachments for multi-modal models](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#attachments-for-multi-modal-models)
* [Structured messages and streaming events](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#structured-messages-and-streaming-events)
* [Consuming prompt.messages in build_messages](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#consuming-prompt-messages-in-build-messages)
* [Restoring opaque metadata on subsequent requests](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#restoring-opaque-metadata-on-subsequent-requests)
* [Tracking token usage](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tracking-token-usage)
* [Tracking resolved model names](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tracking-resolved-model-names)
* [开发模型插件](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html)
* [插件的初始结构](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#the-initial-structure-of-the-plugin)
* [安装你的插件进行试用](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#installing-your-plugin-to-try-it-out)
* [构建马尔可夫链](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#building-the-markov-chain)
* [执行马尔可夫链](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#executing-the-markov-chain)
* [将其添加到插件中](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-that-to-the-plugin)
* [理解 execute()](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#understanding-execute)
* [提示词和响应会记录到数据库](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#prompts-and-responses-are-logged-to-the-database)
* [添加选项](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-options)
* [分发你的插件](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#distributing-your-plugin)
* [GitHub 仓库](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#github-repositories)
* [将插件发布到 PyPI](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#publishing-plugins-to-pypi)
* [添加元数据](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#adding-metadata)
* [如果出现问题该怎么办](https://llm.datasette.io/en/stable/plugins/tutorial-model-plugin.html#what-to-do-if-it-breaks)
* [高级模型插件](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html)
* [技巧:懒加载昂贵的依赖项](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tip-lazily-load-expensive-dependencies)
* [接受 API 密钥的模型](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#models-that-accept-api-keys)
* [异步模型](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#async-models)
* [支持模式](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#supporting-schemas)
* [支持工具](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#supporting-tools)
* [多模态模型的附件](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#attachments-for-multi-modal-models)
* [结构化消息和流式事件](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#structured-messages-and-streaming-events)
* [在 build_messages 中使用 prompt.messages](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#consuming-prompt-messages-in-build-messages)
* [在后续请求中恢复不透明元数据](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#restoring-opaque-metadata-on-subsequent-requests)
* [跟踪 token 使用量](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tracking-token-usage)
* [跟踪解析后的模型名称](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#tracking-resolved-model-names)
* [LLM_RAISE_ERRORS](https://llm.datasette.io/en/stable/plugins/advanced-model-plugins.html#llm-raise-errors)
* [Utility functions for plugins](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html)
* [插件的实用函数](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html)
* [llm.get_key()](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#llm-get-key)
* [llm.user_dir()](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#llm-user-dir)
* [llm.ModelError](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#llm-modelerror)
* [Response.fake()](https://llm.datasette.io/en/stable/plugins/plugin-utilities.html#response-fake)
* [Python API](https://llm.datasette.io/en/stable/python-api.html)
* [Basic prompt execution](https://llm.datasette.io/en/stable/python-api.html#basic-prompt-execution)
* [System prompts](https://llm.datasette.io/en/stable/python-api.html#system-prompts)
* [Attachments](https://llm.datasette.io/en/stable/python-api.html#attachments)
* [Tools](https://llm.datasette.io/en/stable/python-api.html#tools)
* [Schemas](https://llm.datasette.io/en/stable/python-api.html#schemas)
* [Fragments](https://llm.datasette.io/en/stable/python-api.html#fragments)
* [Model options](https://llm.datasette.io/en/stable/python-api.html#model-options)
* [Passing an API key](https://llm.datasette.io/en/stable/python-api.html#passing-an-api-key)
* [Models from plugins](https://llm.datasette.io/en/stable/python-api.html#models-from-plugins)
* [Accessing the underlying JSON](https://llm.datasette.io/en/stable/python-api.html#accessing-the-underlying-json)
* [Token usage](https://llm.datasette.io/en/stable/python-api.html#token-usage)
* [Streaming responses](https://llm.datasette.io/en/stable/python-api.html#streaming-responses)
* [Structured messages and streaming events](https://llm.datasette.io/en/stable/python-api.html#structured-messages-and-streaming-events)
* [Async models](https://llm.datasette.io/en/stable/python-api.html#async-models)
* [基本提示词执行](https://llm.datasette.io/en/stable/python-api.html#basic-prompt-execution)
* [系统提示词](https://llm.datasette.io/en/stable/python-api.html#system-prompts)
* [附件](https://llm.datasette.io/en/stable/python-api.html#attachments)
* [工具](https://llm.datasette.io/en/stable/python-api.html#tools)
* [模式](https://llm.datasette.io/en/stable/python-api.html#schemas)
* [片段](https://llm.datasette.io/en/stable/python-api.html#fragments)
* [模型选项](https://llm.datasette.io/en/stable/python-api.html#model-options)
* [传递 API 密钥](https://llm.datasette.io/en/stable/python-api.html#passing-an-api-key)
* [来自插件的模型](https://llm.datasette.io/en/stable/python-api.html#models-from-plugins)
* [访问底层 JSON](https://llm.datasette.io/en/stable/python-api.html#accessing-the-underlying-json)
* [Token 使用量](https://llm.datasette.io/en/stable/python-api.html#token-usage)
* [流式响应](https://llm.datasette.io/en/stable/python-api.html#streaming-responses)
* [结构化消息和流式事件](https://llm.datasette.io/en/stable/python-api.html#structured-messages-and-streaming-events)
* [异步模型](https://llm.datasette.io/en/stable/python-api.html#async-models)
* [`AsyncResponse`](https://llm.datasette.io/en/stable/python-api.html#llm.AsyncResponse)
* [Tool functions can be sync or async](https://llm.datasette.io/en/stable/python-api.html#tool-functions-can-be-sync-or-async)
* [Tool use for async models](https://llm.datasette.io/en/stable/python-api.html#tool-use-for-async-models)
* [Conversations](https://llm.datasette.io/en/stable/python-api.html#conversations)
* [Conversations using tools](https://llm.datasette.io/en/stable/python-api.html#conversations-using-tools)
* [Listing models](https://llm.datasette.io/en/stable/python-api.html#listing-models)
* [Running code when a response has completed](https://llm.datasette.io/en/stable/python-api.html#running-code-when-a-response-has-completed)
* [Other functions](https://llm.datasette.io/en/stable/python-api.html#other-functions)
* [工具函数可以是同步或异步的](https://llm.datasette.io/en/stable/python-api.html#tool-functions-can-be-sync-or-async)
* [异步模型的工具使用](https://llm.datasette.io/en/stable/python-api.html#tool-use-for-async-models)
* [对话](https://llm.datasette.io/en/stable/python-api.html#conversations)
* [使用工具的对话](https://llm.datasette.io/en/stable/python-api.html#conversations-using-tools)
* [列出模型](https://llm.datasette.io/en/stable/python-api.html#listing-models)
* [在响应完成时运行代码](https://llm.datasette.io/en/stable/python-api.html#running-code-when-a-response-has-completed)
* [其他函数](https://llm.datasette.io/en/stable/python-api.html#other-functions)
* [set_alias(alias, model_id)](https://llm.datasette.io/en/stable/python-api.html#set-alias-alias-model-id)
* [remove_alias(alias)](https://llm.datasette.io/en/stable/python-api.html#remove-alias-alias)
* [set_default_model(alias)](https://llm.datasette.io/en/stable/python-api.html#set-default-model-alias)
* [get_default_model()](https://llm.datasette.io/en/stable/python-api.html#get-default-model)
* [set_default_embedding_model(alias) and get_default_embedding_model()](https://llm.datasette.io/en/stable/python-api.html#set-default-embedding-model-alias-and-get-default-embedding-model)
* [Logging to SQLite](https://llm.datasette.io/en/stable/logging.html)
* [Viewing the logs](https://llm.datasette.io/en/stable/logging.html#viewing-the-logs)
* [-s/short mode](https://llm.datasette.io/en/stable/logging.html#s-short-mode)
* [Logs for a conversation](https://llm.datasette.io/en/stable/logging.html#logs-for-a-conversation)
* [Searching the logs](https://llm.datasette.io/en/stable/logging.html#searching-the-logs)
* [Filtering past a specific ID](https://llm.datasette.io/en/stable/logging.html#filtering-past-a-specific-id)
* [Filtering by model](https://llm.datasette.io/en/stable/logging.html#filtering-by-model)
* [Filtering by prompts that used specific fragments](https://llm.datasette.io/en/stable/logging.html#filtering-by-prompts-that-used-specific-fragments)
* [Filtering by prompts that used specific tools](https://llm.datasette.io/en/stable/logging.html#filtering-by-prompts-that-used-specific-tools)
* [Browsing data collected using schemas](https://llm.datasette.io/en/stable/logging.html#browsing-data-collected-using-schemas)
* [Browsing logs using Datasette](https://llm.datasette.io/en/stable/logging.html#browsing-logs-using-datasette)
* [Backing up your database](https://llm.datasette.io/en/stable/logging.html#backing-up-your-database)
* [SQL schema](https://llm.datasette.io/en/stable/logging.html#sql-schema)
* [Related tools](https://llm.datasette.io/en/stable/related-tools.html)
* [记录到 SQLite](https://llm.datasette.io/en/stable/logging.html)
* [查看日志](https://llm.datasette.io/en/stable/logging.html#viewing-the-logs)
* [-s/short 模式](https://llm.datasette.io/en/stable/logging.html#s-short-mode)
* [对话日志](https://llm.datasette.io/en/stable/logging.html#logs-for-a-conversation)
* [搜索日志](https://llm.datasette.io/en/stable/logging.html#searching-the-logs)
* [按特定 ID 之后的记录过滤](https://llm.datasette.io/en/stable/logging.html#filtering-past-a-specific-id)
* [按模型过滤](https://llm.datasette.io/en/stable/logging.html#filtering-by-model)
* [按使用了特定片段的提示词过滤](https://llm.datasette.io/en/stable/logging.html#filtering-by-prompts-that-used-specific-fragments)
* [按使用了特定工具的提示词过滤](https://llm.datasette.io/en/stable/logging.html#filtering-by-prompts-that-used-specific-tools)
* [浏览使用模式收集的数据](https://llm.datasette.io/en/stable/logging.html#browsing-data-collected-using-schemas)
* [使用 Datasette 浏览日志](https://llm.datasette.io/en/stable/logging.html#browsing-logs-using-datasette)
* [备份数据库](https://llm.datasette.io/en/stable/logging.html#backing-up-your-database)
* [SQL 模式](https://llm.datasette.io/en/stable/logging.html#sql-schema)
* [相关工具](https://llm.datasette.io/en/stable/related-tools.html)
* [strip-tags](https://llm.datasette.io/en/stable/related-tools.html#strip-tags)
* [ttok](https://llm.datasette.io/en/stable/related-tools.html#ttok)
* [Symbex](https://llm.datasette.io/en/stable/related-tools.html#symbex)
* [CLI reference](https://llm.datasette.io/en/stable/help.html)
* [CLI 参考](https://llm.datasette.io/en/stable/help.html)
* [llm help](https://llm.datasette.io/en/stable/help.html#llm-help)
* [llm prompt help](https://llm.datasette.io/en/stable/help.html#llm-prompt-help)
* [llm chat help](https://llm.datasette.io/en/stable/help.html#llm-chat-help)
@@ -358,11 +364,11 @@ See also [the llm tag](https://simonwillison.net/tags/llm/) on my blog.
* [llm embed-models help](https://llm.datasette.io/en/stable/help.html#llm-embed-models-help)
* [llm collections help](https://llm.datasette.io/en/stable/help.html#llm-collections-help)
* [llm openai help](https://llm.datasette.io/en/stable/help.html#llm-openai-help)
* [Contributing](https://llm.datasette.io/en/stable/contributing.html)
* [Updating recorded HTTP API interactions and associated snapshots](https://llm.datasette.io/en/stable/contributing.html#updating-recorded-http-api-interactions-and-associated-snapshots)
* [Debugging tricks](https://llm.datasette.io/en/stable/contributing.html#debugging-tricks)
* [Documentation](https://llm.datasette.io/en/stable/contributing.html#documentation)
* [Release process](https://llm.datasette.io/en/stable/contributing.html#release-process)
* [贡献](https://llm.datasette.io/en/stable/contributing.html)
* [更新已记录的 HTTP API 交互及相关快照](https://llm.datasette.io/en/stable/contributing.html#updating-recorded-http-api-interactions-and-associated-snapshots)
* [调试技巧](https://llm.datasette.io/en/stable/contributing.html#debugging-tricks)
* [文档](https://llm.datasette.io/en/stable/contributing.html#documentation)
* [发布流程](https://llm.datasette.io/en/stable/contributing.html#release-process)
* [Changelog](https://llm.datasette.io/en/stable/changelog.html)
* [更新日志](https://llm.datasette.io/en/stable/changelog.html)
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