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.
| LLM Backend | Supports | Requires |
|---|---|---|
| ChatGPT | ✓ | API key |
| Azure | ✓ | Deployment and API key |
| Ollama | ✓ | Ollama running locally |
| GPT4All | ✓ | GPT4All running locally |
| Gemini | ✓ | API key |
| Llama.cpp | ✓ | Llama.cpp running locally |
| Llamafile | ✓ | Local Llamafile server |
| Kagi FastGPT | ✓ | API key |
| Kagi Summarizer | ✓ | API key |
| together.ai | ✓ | API key |
| Anyscale | ✓ | API key |
| Perplexity | ✓ | API key |
| Anthropic (Claude) | ✓ | API key |
| Groq | ✓ | API key |
| OpenRouter | ✓ | API key |
| PrivateGPT | ✓ | PrivateGPT running locally |
| DeepSeek | ✓ | API key |
General usage: (YouTube Demo)
intro-demo.mp4
intro-demo-2.mp4
Multi-LLM support demo:
gptel-multi.mp4
- It’s async and fast, streams responses.
- Interact with LLMs from anywhere in Emacs (any buffer, shell, minibuffer, wherever)
- LLM responses are in Markdown or Org markup.
- Supports conversations and multiple independent sessions.
- Save chats as regular Markdown/Org/Text files and resume them later.
- You can go back and edit your previous prompts or LLM responses when continuing a conversation. These will be fed back to the model.
- Don’t like gptel’s workflow? Use it to create your own for any supported model/backend with a simple API.
gptel uses Curl if available, but falls back to url-retrieve to work without external dependencies.
- Installation
- Setup
- Usage
- FAQ
- I want the window to scroll automatically as the response is inserted
- I want the cursor to move to the next prompt after the response is inserted
- I want to change the formatting of the prompt and LLM response
- I want the transient menu options to be saved so I only need to set them once
- I want to use gptel in a way that’s not supported by
gptel-sendor the options menu - (Doom Emacs) Sending a query from the gptel menu fails because of a key conflict with Org mode
- (ChatGPT) I get the error “(HTTP/2 429) You exceeded your current quota”
- Why another LLM client?
- Additional Configuration
- Alternatives
- Acknowledgments
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.)
Clone or download this repository and run M-x package-install-file⏎ on the repository directory.
Installing the markdown-mode package is optional.
In packages.el
(package! gptel)In config.el
(use-package! gptel
:config
(setq! gptel-api-key "your key"))“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.
After installation with M-x package-install⏎ gptel
- Add
gpteltodotspacemacs-additional-packages - Add
(require 'gptel)todotspacemacs/user-config
Procure an OpenAI API key.
Optional: Set gptel-api-key to the key. Alternatively, you may choose a more secure method such as:
- Storing in
~/.authinfo. By default, “api.openai.com” is used as HOST and “apikey” as USER.machine api.openai.com login apikey password TOKEN - Setting it to a function that returns the key.
Register a backend with
(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"))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).
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.
;; 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")))Register a backend with
(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 modelsThese 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).
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.
;; 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")))Register a backend with
(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 modelsThese 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)
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.
;; OPTIONAL configuration
(setq
gptel-model "mistral:latest"
gptel-backend (gptel-make-ollama "Ollama"
:host "localhost:11434"
:stream t
:models '("mistral:latest")))Register a backend with
;; :key can be a function that returns the API key.
(gptel-make-gemini "Gemini" :key "YOUR_GEMINI_API_KEY" :stream t)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)
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.
;; OPTIONAL configuration
(setq
gptel-model "gemini-pro"
gptel-backend (gptel-make-gemini "Gemini"
:key "YOUR_GEMINI_API_KEY"
:stream t))(If using a llamafile, run a server llamafile instead of a “command-line llamafile”, and a model that supports text generation.)
Register a backend with
;; 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 LlamaThese 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)
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.
;; OPTIONAL configuration
(setq
gptel-model "test"
gptel-backend (gptel-make-openai "llama-cpp"
:stream t
:protocol "http"
:host "localhost:8000"
:models '("test")))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
(gptel-make-kagi "Kagi" ;any name
:key "YOUR_KAGI_API_KEY") ;can be a function that returns the keyThese are the required parameters, refer to the documentation of gptel-make-kagi for more.
You can pick this backend and the model (fastgpt/summarizer) from the transient menu when using gptel.
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.
;; OPTIONAL configuration
(setq
gptel-model "fastgpt"
gptel-backend (gptel-make-kagi "Kagi"
:key "YOUR_KAGI_API_KEY"))The alternatives to fastgpt include summarize:cecil, summarize:agnes, summarize:daphne and summarize:muriel. The difference between the summarizer engines is documented here.
Register a backend with
;; Together.ai offers an OpenAI compatible API
(gptel-make-openai "TogetherAI" ;Any name you want
:host "api.together.xyz"
:key "your-api-key" ;can be a function that returns the key
:stream t
:models '(;; has many more, check together.ai
"mistralai/Mixtral-8x7B-Instruct-v0.1"
"codellama/CodeLlama-13b-Instruct-hf"
"codellama/CodeLlama-34b-Instruct-hf"))You can pick this backend from the menu when using gptel (see Usage)
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.
;; OPTIONAL configuration
(setq
gptel-model "mistralai/Mixtral-8x7B-Instruct-v0.1"
gptel-backend
(gptel-make-openai "TogetherAI"
:host "api.together.xyz"
:key "your-api-key"
:stream t
:models '(;; has many more, check together.ai
"mistralai/Mixtral-8x7B-Instruct-v0.1"
"codellama/CodeLlama-13b-Instruct-hf"
"codellama/CodeLlama-34b-Instruct-hf")))Register a backend with
;; Anyscale offers an OpenAI compatible API
(gptel-make-openai "Anyscale" ;Any name you want
:host "api.endpoints.anyscale.com"
:key "your-api-key" ;can be a function that returns the key
:models '(;; has many more, check anyscale
"mistralai/Mixtral-8x7B-Instruct-v0.1"))You can pick this backend from the menu when using gptel (see Usage)
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.
;; OPTIONAL configuration
(setq
gptel-model "mistralai/Mixtral-8x7B-Instruct-v0.1"
gptel-backend
(gptel-make-openai "Anyscale"
:host "api.endpoints.anyscale.com"
:key "your-api-key"
:models '(;; has many more, check anyscale
"mistralai/Mixtral-8x7B-Instruct-v0.1")))Register a backend with
;; Perplexity offers an OpenAI compatible API
(gptel-make-openai "Perplexity" ;Any name you want
:host "api.perplexity.ai"
:key "your-api-key" ;can be a function that returns the key
:endpoint "/chat/completions"
:stream t
:models '(;; has many more, check perplexity.ai
"pplx-7b-chat"
"pplx-70b-chat"
"pplx-7b-online"
"pplx-70b-online"))You can pick this backend from the menu when using gptel (see Usage)
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.
;; OPTIONAL configuration
(setq
gptel-model "pplx-7b-chat"
gptel-backend
(gptel-make-openai "Perplexity"
:host "api.perplexity.ai"
:key "your-api-key"
:endpoint "/chat/completions"
:stream t
:models '(;; has many more, check perplexity.ai
"pplx-7b-chat"
"pplx-70b-chat"
"pplx-7b-online"
"pplx-70b-online")))Register a backend with
(gptel-make-anthropic "Claude" ;Any name you want
:stream t ;Streaming responses
:key "your-api-key")The :key can be a function that returns the key (more secure).
You can pick this backend from the menu when using gptel (see Usage).
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.
;; OPTIONAL configuration
(setq
gptel-model "claude-3-sonnet-20240229" ; "claude-3-opus-20240229" also available
gptel-backend (gptel-make-anthropic "Claude"
:stream t :key "your-api-key"))Register a backend with
;; Groq offers an OpenAI compatible API
(gptel-make-openai "Groq" ;Any name you want
:host "api.groq.com"
:endpoint "/openai/v1/chat/completions"
:stream t
:key "your-api-key" ;can be a function that returns the key
:models '("llama-3.1-70b-versatile"
"llama-3.1-8b-instant"
"llama3-70b-8192"
"llama3-8b-8192"
"mixtral-8x7b-32768"
"gemma-7b-it"))You can pick this backend from the menu when using gptel (see Usage). Note that Groq is fast enough that you could easily set :stream nil and still get near-instant responses.
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.
;; OPTIONAL configuration
(setq gptel-model "mixtral-8x7b-32768"
gptel-backend
(gptel-make-openai "Groq"
:host "api.groq.com"
:endpoint "/openai/v1/chat/completions"
:stream t
:key "your-api-key"
:models '("llama-3.1-70b-versatile"
"llama-3.1-8b-instant"
"llama3-70b-8192"
"llama3-8b-8192"
"mixtral-8x7b-32768"
"gemma-7b-it")))Register a backend with
;; OpenRouter offers an OpenAI compatible API
(gptel-make-openai "OpenRouter" ;Any name you want
:host "openrouter.ai"
:endpoint "/api/v1/chat/completions"
:stream t
:key "your-api-key" ;can be a function that returns the key
:models '("openai/gpt-3.5-turbo"
"mistralai/mixtral-8x7b-instruct"
"meta-llama/codellama-34b-instruct"
"codellama/codellama-70b-instruct"
"google/palm-2-codechat-bison-32k"
"google/gemini-pro"))
You can pick this backend from the menu when using gptel (see Usage).
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.
;; OPTIONAL configuration
(setq gptel-model "mixtral-8x7b-32768"
gptel-backend
(gptel-make-openai "OpenRouter" ;Any name you want
:host "openrouter.ai"
:endpoint "/api/v1/chat/completions"
:stream t
:key "your-api-key" ;can be a function that returns the key
:models '("openai/gpt-3.5-turbo"
"mistralai/mixtral-8x7b-instruct"
"meta-llama/codellama-34b-instruct"
"codellama/codellama-70b-instruct"
"google/palm-2-codechat-bison-32k"
"google/gemini-pro")))
Register a backend with
(gptel-make-privategpt "privateGPT" ;Any name you want
:protocol "http"
:host "localhost:8001"
:stream t
:context t ;Use context provided by embeddings
:sources t ;Return information about source documents
:models '("private-gpt"))
You can pick this backend from the menu when using gptel (see Usage).
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.
;; OPTIONAL configuration
(setq gptel-model "private-gpt"
gptel-backend
(gptel-make-privategpt "privateGPT" ;Any name you want
:protocol "http"
:host "localhost:8001"
:stream t
:context t ;Use context provided by embeddings
:sources t ;Return information about source documents
:models '("private-gpt")))
Register a backend with
;; DeepSeek offers an OpenAI compatible API
(gptel-make-openai "DeepSeek" ;Any name you want
:host "api.deepseek.com"
:endpoint "/chat/completions"
:stream t
:key "your-api-key" ;can be a function that returns the key
:models '("deepseek-chat" "deepseek-coder"))
You can pick this backend from the menu when using gptel (see Usage).
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.
;; OPTIONAL configuration
(setq gptel-model "deepseek-chat"
gptel-backend
(gptel-make-openai "DeepSeek" ;Any name you want
:host "api.deepseek.com"
:endpoint "/chat/completions"
:stream t
:key "your-api-key" ;can be a function that returns the key
:models '("deepseek-chat" "deepseek-coder")))
(This is also a video demo showing various uses of gptel.)
| To send queries | Description |
|---|---|
gptel-send | Send conversation up to (point), or selection if region is active. Works anywhere in Emacs. |
gptel | Create a new dedicated chat buffer. Not required to use gptel. |
| To Set options | |
C-u gptel-send | Transient menu for preferences, input/output redirection etc. |
gptel-menu | (Same) |
| To add context | |
gptel-add | Add/remove a region or buffer to gptel’s context. Add/remove marked files in Dired. |
gptel-add-file | Add a (text-readable) file to gptel’s context. Also available from the transient menu. |
| In Org mode only | |
gptel-org-set-topic | Limit conversation context to an Org heading |
gptel-org-set-properties | Write gptel configuration as Org properties (for self-contained chat logs) |
- Call
M-x gptel-sendto send the text up to the cursor. The response will be inserted below. Continue the conversation by typing below the response. - If a region is selected, the conversation will be limited to its contents.
- Call
M-x gptel-sendwith a prefix argument (C-u)- to set chat parameters (GPT model, system message etc) for this buffer,
- include quick instructions for the next request only,
- to add additional context – regions, buffers or files – to gptel,
- to read the prompt from or redirect the response elsewhere,
- or to replace the prompt with the response.
With a region selected, you can also rewrite prose or refactor code from here:
Code:
Prose:
- Run
M-x gptelto start or switch to the chat buffer. It will ask you for the key if you skipped the previous step. Run it with a prefix-arg (C-u M-x gptel) to start a new session. - In the gptel buffer, send your prompt with
M-x gptel-send, bound toC-c RET. - Set chat parameters (LLM provider, model, directives etc) for the session by calling
gptel-sendwith a prefix argument (C-u C-c RET):
That’s it. You can go back and edit previous prompts and responses if you want.
The default mode is markdown-mode if available, else text-mode. You can set gptel-default-mode to org-mode if desired.
Saving the file will save the state of the conversation as well. To resume the chat, open the file and turn on gptel-mode before editing the buffer.
By default, gptel will query the LLM with the active region or the buffer contents up to the cursor. Often it can be helpful to provide the LLM with additional context from outside the current buffer. For example, when you’re in a chat buffer but want to ask questions about a (possibly changing) code buffer and auxiliary project files.
You can include additional text regions, buffers or files with gptel’s queries. This additional context is “live” and not a snapshot. Once added, the regions, buffers or files are scanned and included at the time of each query.
You can add a selected region, buffer or file to gptel’s context from the menu, or call gptel-add. (To add a file use gptel-add in Dired or use the dedicated gptel-add-file command.)
You can examine the active context from the menu:
And then browse through or remove context from the context buffer:
gptel offers a few extra conveniences in Org mode.
- You can limit the conversation context to an Org heading with the command
gptel-org-set-topic. - You can have branching conversations in Org mode, where each hierarchical outline path through the document is a separate conversation branch. This is also useful for limiting the context size of each query. See the variable
gptel-org-branching-context. Note: using this option requires Org 9.6.7 or higher to be available. The ai-org-chat package uses gptel to provide this branching conversation behavior for older versions of Org. - You can declare the gptel model, backend, temperature, system message and other parameters as Org properties with the command
gptel-org-set-properties. gptel queries under the corresponding heading will always use these settings, allowing you to create mostly reproducible LLM chat notebooks, and to have simultaneous chats with different models, model settings and directives under different Org headings.
To be minimally annoying, gptel does not move the cursor by default. Add the following to your configuration to enable auto-scrolling.
(add-hook 'gptel-post-stream-hook 'gptel-auto-scroll)To be minimally annoying, gptel does not move the cursor by default. Add the following to your configuration to move the cursor:
(add-hook 'gptel-post-response-functions 'gptel-end-of-response)You can also call gptel-end-of-response as a command at any time.
For dedicated chat buffers: customize gptel-prompt-prefix-alist and gptel-response-prefix-alist. You can set a different pair for each major-mode.
Anywhere in Emacs: Use gptel-pre-response-hook and gptel-post-response-functions, which see.
Any model options you set are saved for the current buffer. But the redirection options in the menu are set for the next query only:
You can make them persistent across this Emacs session by pressing C-x C-s:
(You can also cycle through presets you’ve saved with C-x p and C-x n.)
Now these will be enabled whenever you send a query from the transient menu. If you want to use these saved options without invoking the transient menu, you can use a keyboard macro:
;; Replace with your key to invoke the transient menu:
(keymap-global-set "<f6>" "C-u C-c <return> <return>")Or see this wiki entry.
gptel’s default usage pattern is simple, and will stay this way: Read input in any buffer and insert the response below it. Some custom behavior is possible with the transient menu (C-u M-x gptel-send).
For more programmable usage, gptel provides a general gptel-request function that accepts a custom prompt and a callback to act on the response. You can use this to build custom workflows not supported by gptel-send. See the documentation of gptel-request, and the wiki for examples.
Doom binds RET in Org mode to +org/dwim-at-point, which appears to conflict with gptel’s transient menu bindings for some reason.
Two solutions:
- Press
C-minstead of the return key. - Change the send key from return to a key of your choice:
(transient-suffix-put 'gptel-menu (kbd "RET") :key "<f8>")
(HTTP/2 429) You exceeded your current quota, please check your plan and billing details.
Using the ChatGPT (or any OpenAI) API requires adding credit to your account.
Other Emacs clients for LLMs prescribe the format of the interaction (a comint shell, org-babel blocks, etc). I wanted:
- Something that is as free-form as possible: query the model using any text in any buffer, and redirect the response as required. Using a dedicated
gptelbuffer just adds some visual flair to the interaction. - Integration with org-mode, not using a walled-off org-babel block, but as regular text. This way the model can generate code blocks that I can run.
| Connection options | |
|---|---|
gptel-use-curl | Use Curl (default), fallback to Emacs’ built-in url. |
gptel-proxy | Proxy server for requests, passed to curl via --proxy. |
gptel-api-key | Variable/function that returns the API key for the active backend. |
| LLM request options | (Note: not supported uniformly across LLMs) |
gptel-backend | Default LLM Backend. |
gptel-model | Default model to use, depends on the backend. |
gptel-stream | Enable streaming responses, if the backend supports it. |
gptel-directives | Alist of system directives, can switch on the fly. |
gptel-max-tokens | Maximum token count (in query + response). |
gptel-temperature | Randomness in response text, 0 to 2. |
gptel-use-context | How/whether to include additional context |
| Chat UI options | |
gptel-default-mode | Major mode for dedicated chat buffers. |
gptel-track-response | Distinguish between user messages and LLM responses? |
gptel-prompt-prefix-alist | Text inserted before queries. |
gptel-response-prefix-alist | Text inserted before responses. |
gptel-use-header-line | Display status messages in header-line (default) or minibuffer |
gptel-display-buffer-action | Placement of the gptel chat buffer. |
| Org mode UI options | |
gptel-org-branching-context | Make each outline path a separate conversation branch |
| Hooks for customization | |
gptel-pre-response-hook | Runs before inserting the LLM response into the buffer |
gptel-post-response-functions | Runs after inserting the full LLM response into the buffer |
gptel-post-stream-hook | Runs after each streaming insertion |
gptel-context-wrap-function | To include additional context formatted your way |
Other Emacs clients for LLMs include
- llm: llm provides a uniform API across language model providers for building LLM clients in Emacs, and is intended as a library for use by package authors. For similar scripting purposes, gptel provides the command
gptel-request, which see. - Ellama: A full-fledged LLM client built on llm, that supports many LLM providers (Ollama, Open AI, Vertex, GPT4All and more). Its usage differs from gptel in that it provides separate commands for dozens of common tasks, like general chat, summarizing code/text, refactoring code, improving grammar, translation and so on.
- chatgpt-shell: comint-shell based interaction with ChatGPT. Also supports DALL-E, executable code blocks in the responses, and more.
- org-ai: Interaction through special
#+begin_ai ... #+end_aiOrg-mode blocks. Also supports DALL-E, querying ChatGPT with the contents of project files, and more.
There are several more: chatgpt-arcana, leafy-mode, chat.el
These are packages that use gptel to provide additional functionality
- gptel-extensions: Extra utility functions for gptel.
- ai-blog.el: Streamline generation of blog posts in Hugo.
- magit-gptcommit: Generate Commit Messages within magit-status Buffer using gptel.
- consult-web: Provides gptel as a source when querying multiple local and online sources.
- ai-org-chat: Provides branching conversations in Org buffers using gptel. (Note that gptel includes this feature as well (via
gptel-org-branching-context), but requires a recent version of Org mode (9.67 or later) to be installed.)
- Alexis Gallagher and Diego Alvarez for fixing a nasty multi-byte bug with
url-retrieve. - Jonas Bernoulli for the Transient library.
- daedsidog for adding context support to gptel.
- Aquan1412 for adding PrivateGPT support to gptel.
- r0man for improving gptel’s Curl integration.