#+title: gptel: A simple LLM client for Emacs
[[https://elpa.nongnu.org/nongnu/gptel.svg][file:https://elpa.nongnu.org/nongnu/gptel.svg]] [[https://stable.melpa.org/packages/gptel-badge.svg][file:https://stable.melpa.org/packages/gptel-badge.svg]] [[https://melpa.org/#/gptel][file:https://melpa.org/packages/gptel-badge.svg]]
gptel is a simple Large Language Model chat client for Emacs, with support for multiple models and backends. It works in the spirit of Emacs, available at any time and uniformly in any buffer.
#+html: <div align="center"> | LLM Backend | Supports | Requires | |--------------------+----------+----------------------------| | ChatGPT | ✓ | [[https://platform.openai.com/account/api-keys][API key]] | | Azure | ✓ | Deployment and API key | | Ollama | ✓ | [[https://ollama.ai/][Ollama running locally]] | | GPT4All | ✓ | [[https://gpt4all.io/index.html][GPT4All running locally]] | | Gemini | ✓ | [[https://makersuite.google.com/app/apikey][API key]] | | Llama.cpp | ✓ | [[https://github.com/ggerganov/llama.cpp/tree/master/examples/server#quick-start][Llama.cpp running locally]] | | Llamafile | ✓ | [[https://github.com/Mozilla-Ocho/llamafile#quickstart][Local Llamafile server]] | | Kagi FastGPT | ✓ | [[https://kagi.com/settings?p=api][API key]] | | Kagi Summarizer | ✓ | [[https://kagi.com/settings?p=api][API key]] | | together.ai | ✓ | [[https://api.together.xyz/settings/api-keys][API key]] | | Anyscale | ✓ | [[https://docs.endpoints.anyscale.com/][API key]] | | Perplexity | ✓ | [[https://docs.perplexity.ai/docs/getting-started][API key]] | | Anthropic (Claude) | ✓ | [[https://www.anthropic.com/api][API key]] | | Groq | ✓ | [[https://console.groq.com/keys][API key]] | | OpenRouter | ✓ | [[https://openrouter.ai/keys][API key]] | | PrivateGPT | ✓ | [[https://github.com/zylon-ai/private-gpt#-documentation][PrivateGPT running locally]] | | DeepSeek | ✓ | [[https://platform.deepseek.com/api_keys][API key]] | #+html: </div>
General usage: ([[https://www.youtube.com/watch?v=bsRnh_brggM][YouTube Demo]])
https://user-images.githubusercontent.com/8607532/230516812-86510a09-a2fb-4cbd-b53f-cc2522d05a13.mp4
https://user-images.githubusercontent.com/8607532/230516816-ae4a613a-4d01-4073-ad3f-b66fa73c6e45.mp4
Multi-LLM support demo:
gptel uses Curl if available, but falls back to url-retrieve to work without external dependencies.
** Contents :toc:
** Installation
gptel can be installed in Emacs out of the box with =M-x package-install= ⏎ =gptel=. This installs the latest release.
If you want the development version instead, add MELPA (or NonGNU-devel ELPA) to your list of sources, then install it with =M-x package-install⏎= =gptel=.
(Optional: Install =markdown-mode=.)
#+html: <details><summary> **** Straight #+html: </summary> #+begin_src emacs-lisp (straight-use-package 'gptel) #+end_src
Installing the =markdown-mode= package is optional. #+html: </details> #+html: <details><summary> **** Manual #+html: </summary> Clone or download this repository and run =M-x package-install-file⏎= on the repository directory.
Installing the =markdown-mode= package is optional. #+html: </details> #+html: <details><summary> **** Doom Emacs #+html: </summary> In =packages.el= #+begin_src emacs-lisp (package! gptel) #+end_src
In =config.el= #+begin_src emacs-lisp (use-package! gptel :config (setq! gptel-api-key "your key")) #+end_src "your key" can be the API key itself, or (safer) a function that returns the key. Setting =gptel-api-key= is optional, you will be asked for a key if it's not found.
#+html: </details> #+html: <details><summary> **** Spacemacs #+html: </summary> After installation with =M-x package-install⏎= =gptel=
Optional: Set =gptel-api-key= to the key. Alternatively, you may choose a more secure method such as:
*** Other LLM backends #+html: <details><summary> **** Azure #+html: </summary>
Register a backend with #+begin_src emacs-lisp (gptel-make-azure "Azure-1" ;Name, whatever you'd like :protocol "https" ;Optional -- https is the default :host "YOUR_RESOURCE_NAME.openai.azure.com" :endpoint "/openai/deployments/YOUR_DEPLOYMENT_NAME/chat/completions?api-version=2023-05-15" ;or equivalent :stream t ;Enable streaming responses :key #'gptel-api-key :models '("gpt-3.5-turbo" "gpt-4")) #+end_src Refer to the documentation of =gptel-make-azure= to set more parameters.
You can pick this backend from the menu when using gptel. (see [[#usage][Usage]]).
***** (Optional) Set as the default gptel backend
The above code makes the backend available to select. If you want it to be the default backend for gptel, you can set this as the value of =gptel-backend=. Use this instead of the above. #+begin_src emacs-lisp ;; OPTIONAL configuration (setq gptel-model "gpt-3.5-turbo" gptel-backend (gptel-make-azure "Azure-1" :protocol "https" :host "YOUR_RESOURCE_NAME.openai.azure.com" :endpoint "/openai/deployments/YOUR_DEPLOYMENT_NAME/chat/completions?api-version=2023-05-15" :stream t :key #'gptel-api-key :models '("gpt-3.5-turbo" "gpt-4"))) #+end_src #+html: </details>
#+html: <details><summary> **** GPT4All #+html: </summary>
Register a backend with #+begin_src emacs-lisp (gptel-make-gpt4all "GPT4All" ;Name of your choosing :protocol "http" :host "localhost:4891" ;Where it's running :models '("mistral-7b-openorca.Q4_0.gguf")) ;Available models #+end_src These are the required parameters, refer to the documentation of =gptel-make-gpt4all= for more.
You can pick this backend from the menu when using gptel (see [[#usage][Usage]]).
***** (Optional) Set as the default gptel backend
The above code makes the backend available to select. If you want it to be the default backend for gptel, you can set this as the value of =gptel-backend=. Use this instead of the above. Additionally you may want to increase the response token size since GPT4All uses very short (often truncated) responses by default. #+begin_src emacs-lisp ;; OPTIONAL configuration (setq gptel-max-tokens 500 gptel-model "mistral-7b-openorca.Q4_0.gguf" gptel-backend (gptel-make-gpt4all "GPT4All" :protocol "http" :host "localhost:4891" :models '("mistral-7b-openorca.Q4_0.gguf"))) #+end_src
#+html: </details>
#+html: <details><summary> **** Ollama #+html: </summary>
Register a backend with #+begin_src emacs-lisp (gptel-make-ollama "Ollama" ;Any name of your choosing :host "localhost:11434" ;Where it's running :stream t ;Stream responses :models '("mistral:latest")) ;List of models #+end_src These are the required parameters, refer to the documentation of =gptel-make-ollama= for more.
You can pick this backend from the menu when using gptel (see [[#usage][Usage]])
***** (Optional) Set as the default gptel backend
The above code makes the backend available to select. If you want it to be the default backend for gptel, you can set this as the value of =gptel-backend=. Use this instead of the above. #+begin_src emacs-lisp ;; OPTIONAL configuration (setq gptel-model "mistral:latest" gptel-backend (gptel-make-ollama "Ollama" :host "localhost:11434" :stream t :models '("mistral:latest"))) #+end_src
#+html: </details>
#+html: <details><summary> **** Gemini #+html: </summary>
Register a backend with #+begin_src emacs-lisp ;; :key can be a function that returns the API key. (gptel-make-gemini "Gemini" :key "YOUR_GEMINI_API_KEY" :stream t) #+end_src These are the required parameters, refer to the documentation of =gptel-make-gemini= for more.
You can pick this backend from the menu when using gptel (see [[#usage][Usage]])
***** (Optional) Set as the default gptel backend
The above code makes the backend available to select. If you want it to be the default backend for gptel, you can set this as the value of =gptel-backend=. Use this instead of the above. #+begin_src emacs-lisp ;; OPTIONAL configuration (setq gptel-model "gemini-pro" gptel-backend (gptel-make-gemini "Gemini" :key "YOUR_GEMINI_API_KEY" :stream t)) #+end_src
#+html: </details>
#+html: <details> #+html: <summary> **** Llama.cpp or Llamafile #+html: </summary>
(If using a llamafile, run a [[https://github.com/Mozilla-Ocho/llamafile#other-example-llamafiles][server llamafile]] instead of a "command-line llamafile", and a model that supports text generation.)
Register a backend with #+begin_src emacs-lisp ;; Llama.cpp offers an OpenAI compatible API (gptel-make-openai "llama-cpp" ;Any name :stream t ;Stream responses :protocol "http" :host "localhost:8000" ;Llama.cpp server location :models '("test")) ;Any names, doesn't matter for Llama #+end_src These are the required parameters, refer to the documentation of =gptel-make-openai= for more.
You can pick this backend from the menu when using gptel (see [[#usage][Usage]])
***** (Optional) Set as the default gptel backend
The above code makes the backend available to select. If you want it to be the default backend for gptel, you can set this as the value of =gptel-backend=. Use this instead of the above. #+begin_src emacs-lisp ;; OPTIONAL configuration (setq gptel-model "test" gptel-backend (gptel-make-openai "llama-cpp" :stream t :protocol "http" :host "localhost:8000" :models '("test"))) #+end_src
#+html: </details> #+html: <details><summary> **** Kagi (FastGPT & Summarizer) #+html: </summary>
Kagi's FastGPT model and the Universal Summarizer are both supported. A couple of notes:
Universal Summarizer: If there is a URL at point, the summarizer will summarize the contents of the URL. Otherwise the context sent to the model is the same as always: the buffer text upto point, or the contents of the region if the region is active.
Kagi models do not support multi-turn conversations, interactions are "one-shot". They also do not support streaming responses.
Register a backend with #+begin_src emacs-lisp (gptel-make-kagi "Kagi" ;any name
AI辅助编程,代码自动修复
Trae是一种自适应的集成开发环境(IDE),通过自动化和多元协作改变开发流程。利用Trae,团队能够更快速、精确地编写和部署代码,从而提高编程效率和项目交付速度。Trae具备上下文感知和代码自动完成功能,是提升开发效率的理想工具。
最强AI数据分析助手
小浣熊家族Raccoon,您的AI智能助手,致力于通过先进的人工智能技术,为用户提供高效、便捷的智能服务。无论是日常咨询还是专业问题解答,小浣熊都能以快速、准确的响应满足您的需求,让您的生活更加智能便捷。
像人一样思考的AI智能体
imini 是一款超级AI智能体,能根据人类指令,自主思考、自主完成、并且交付结果的AI智能体。
AI数字人视频创作平台
Keevx 一款开箱即用的AI数字人视频创作平台,广泛适用于电商广告、企业培训与社媒宣传,让全球企业与个人创作者无需拍摄剪辑,就能快速生成多语言、高质量的专业视频。
一站式AI创作平台
提供 AI 驱动的图片、视频生成及数字人等功 能,助力创意创作
AI办公助手,复杂任务高效处理
AI办公助手,复杂任务高效处理。办公效率低?扣子空间AI助手支持播客生成、PPT制作、网页开发及报告写作,覆盖科研、商业、舆情等领域的专家Agent 7x24小时响应,生活工作无缝切换,提升50%效率!
AI小说写作助手,一站式润色、改写、扩写
蛙蛙写作—国内先进的AI写作平台,涵盖小说、学术、社交媒体等多场景。提供续写、改写、润色等功能,助力创作者高效优化写作流程。界面简洁,功能全面,适合各类写作者提升内容品质和工作效率。
全能AI智能助手,随时解答生活与工作的多样问题
问小白,由元石科技研发的AI智能助手,快速准确地解答各种生活和工作问题,包括但不限于搜索、规划和社交互动,帮助用户在日常生活中提高效率,轻松管理个人事务。
实时语音翻译/同声传译工具
Transly是一个多场景的AI大语言模型驱动的同声传译、专业翻译助手,它拥有超精准的音频识别翻译能力,几乎零延迟的使用体验和支持多国语言可以让你带它走遍全球,无论你是留学生、商务人士、韩剧美剧爱好者,还是出国游玩、多国会议、跨国追星等等,都可以满足你所有需要同传的场景需求,线上线下通用,扫除语言障碍,让全世界的语言交流不再有国界。
一键生成PPT和Word,让学习生活更轻松
讯飞智文是一个利用 AI 技术的项目,能够帮助用户生成 PPT 以及各类文档。无论是商业领域的市场分析报告、年度目标制定,还是学生群体的职业生涯规划、实习避坑指南,亦或是活动策划、旅游攻略等内容,它都能提供支持,帮助用户精准表达,轻松呈现各种信息。
最新AI工具、AI资讯
独家AI资源、AI项目落地
微信扫一扫关注公众号