Groq compatibility?

[durrantmm]

Hi, I access llama3-70b through groq using this python tool. I was hoping to also use groq with gp.nvim. Any plans to support this?

[0fflineuser]

For me adding the groq provider works. Example :

return {
	"robitx/gp.nvim",
	dependencies = { "folke/which-key.nvim" },
	config = function()
		local config = {
			providers = {
				groq = {
					disable = false,
					endpoint = "https://api.groq.com/openai/v1/chat/completions",
					secret = os.getenv("GROQ_API_KEY"),
				},
			},
			agents = {
				{
					provider = "groq",
					name = "ChatGroqLlama3.1-70B",
					chat = true,
					command = false,
					-- string with model name or table with model name and parameters
					model = {
						model = "llama-3.1-70b-versatile",
						temperature = 0.6,
						top_p = 1,
						min_p = 0.05,
					},
					system_prompt = require("gp.defaults").chat_system_prompt,
				},
				{
					provider = "groq",
					name = "CodeGroqLlama3.1-70B",
					chat = false,
					command = true,
					model = {
						model = "llama-3.1-70b-versatile",
						temperature = 0.4,
						top_p = 1,
						min_p = 0.05,
					},
					system_prompt = require("gp.defaults").code_system_prompt,
				},
			},
		}
		require("gp").setup(config)
	end,
}

[yuukibarns]

For me adding the groq provider works. Example :

return {
	"robitx/gp.nvim",
	dependencies = { "folke/which-key.nvim" },
	config = function()
		local config = {
			providers = {
				groq = {
					disable = false,
					endpoint = "https://api.groq.com/openai/v1/chat/completions",
					secret = os.getenv("GROQ_API_KEY"),
				},
			},
			agents = {
				{
					provider = "groq",
					name = "ChatGroqLlama3.1-70B",
					chat = true,
					command = false,
					-- string with model name or table with model name and parameters
					model = {
						model = "llama-3.1-70b-versatile",
						temperature = 0.6,
						top_p = 1,
						min_p = 0.05,
					},
					system_prompt = require("gp.defaults").chat_system_prompt,
				},
				{
					provider = "groq",
					name = "CodeGroqLlama3.1-70B",
					chat = false,
					command = true,
					model = {
						model = "llama-3.1-70b-versatile",
						temperature = 0.4,
						top_p = 1,
						min_p = 0.05,
					},
					system_prompt = require("gp.defaults").code_system_prompt,
				},
			},
		}
		require("gp").setup(config)
	end,
}

Can't work on my nvim.

[Robitx]

@yuukibarns could you provide your gp configuration, outputs from :GpInspectPlugin and :GpInspectLog covering some events which didn't work (ideally with log_sensitive = true in the config)?

Just be careful not to paste your secrets.

[yuukibarns]

The error msg is .html format which is hard to read, so i ignored it before.
After having read the msg, I find the reason is that my api is blocked, maybe it is not supported in my region.

[yuukibarns]

Why have I been blocked?

This website is using a security service to protect itself from online attacks. The action you just performed triggered the security solu tion. There are several actions that could trigger this block including submitting a certain word or phrase, a SQL command or malformed data.

[yuukibarns]

And it told me that Please enable cookies.

[Robitx]

@yuukibarns the message is from ClaudFlare, can't provide more help without config and GpInspect data.

[yuukibarns]

{
	"robitx/gp.nvim",
	config = function()
		local conf = {
			providers = {
				groq = {
					disable = false,
					endpoint = "https://api.groq.com/openai/v1/chat/completions",
					secret = os.getenv("GROQ_API_KEY"),
				},
				openai = {
					disable = true,
					endpoint = "https://api.openai.com/v1/chat/completions",
					-- secret = os.getenv("OPENAI_API_KEY"),
				},
			},
			agents = {
				{
					name = "ChatGroqLlama3.1-70B",
					provider = "groq",
					chat = true,
					command = false,
					-- string with model name or table with model name and parameters
					model = {
						model = "llama-3.1-70b-versatile",
						temperature = 0.6,
						top_p = 1,
						min_p = 0.05,
					},
					system_prompt = require("gp.defaults").chat_system_prompt,
				},
				{
					name = "CodeGroqLlama3.1-70B",
					provider = "groq",
					chat = false,
					command = true,
					model = {
						model = "llama-3.1-70b-versatile",
						temperature = 0.4,
						top_p = 1,
						min_p = 0.05,
					},
					system_prompt = require("gp.defaults").code_system_prompt,
				},
			},
		}
		require("gp").setup(conf)

		-- Setup shortcuts here (see Usage > Shortcuts in the Documentation/Readme)
	end,
},

[yuukibarns]

Plugin structure:
{
BufTarget = {
current = 0,
popup = 1,
split = 2,
tabnew = 4,
vsplit = 3
},
Prompt = <function 1>,
Target = {
append = 1,
enew = <function 2>,
new = <function 3>,
popup = 3,
prepend = 2,
rewrite = 0,
tabnew = <function 4>,
vnew = <function 5>
},
_Name = "Gp",
_chat_agents = { "ChatGroqLlama3.1-70B" },
_chat_finder_opened = false,
_command_agents = { "CodeGroqLlama3.1-70B" },
_prepared_bufs = {},
_setup_called = true,
_state = {
chat_agent = "ChatGroqLlama3.1-70B",
command_agent = "CodeGroqLlama3.1-70B",
last_chat = "C:\Users\JZR\AppData\Local\nvim-data/gp/chats/2024-08-20.17-21-14.420.md",
updated = 1724155208
},
_toggle = {},
_toggle_add = <function 6>,
_toggle_close = <function 7>,
_toggle_kind = {
chat = 1,
context = 3,
popup = 2,
unknown = 0
},
_toggle_resolve = <function 8>,
agents = {
["ChatGroqLlama3.1-70B"] = {
chat = true,
command = false,
model = {
min_p = 0.05,
model = "llama-3.1-70b-versatile",
temperature = 0.6,
top_p = 1
},
name = "ChatGroqLlama3.1-70B",
provider = "groq",
system_prompt = "You are a general AI assistant.\n\nThe user provided the additional info about how they would like you to respond:\n\n- If you're unsure don't guess and say you don't know instead.\n- Ask question if you need clarification to provide better answer.\n- Think deeply and carefully from first principles step by step.\n- Zoom out first to see the big picture and then zoom in to details.\n- Use Socratic method to improve your thinking and coding skills.\n- Don't elide any code from your output if the answer requires coding.\n- Take a deep breath; You've got this!\n"
},
["CodeGroqLlama3.1-70B"] = {
chat = false,
command = true,
model = {
min_p = 0.05,
model = "llama-3.1-70b-versatile",
temperature = 0.4,
top_p = 1
},
name = "CodeGroqLlama3.1-70B",
provider = "groq",
system_prompt = "You are an AI working as a code editor.\n\nPlease AVOID COMMENTARY OUTSIDE OF THE SNIPPET RESPONSE.\nSTART AND END YOUR ANSWER WITH:\n\n" } }, buf_handler = <function 9>, chat_respond = <function 10>, cmd = { Agent = <function 11>, Append = <function 12>, ChatDelete = <function 13>, ChatFinder = <function 14>, ChatNew = <function 15>, ChatPaste = <function 16>, ChatRespond = <function 17>, ChatToggle = <function 18>, Context = <function 19>, Enew = <function 20>, New = <function 21>, NextAgent = <function 22>, Popup = <function 23>, Prepend = <function 24>, Rewrite = <function 25>, Stop = <function 26>, Tabnew = <function 27>, Vnew = <function 28>, WhisperAppend = <function 29>, WhisperEnew = <function 30>, WhisperNew = <function 31>, WhisperPopup = <function 32>, WhisperPrepend = <function 33>, WhisperRewrite = <function 34>, WhisperTabnew = <function 35>, WhisperVnew = <function 36> }, config = { chat_assistant_prefix = { "🤖:", "[{{agent}}]" }, chat_conceal_model_params = true, chat_confirm_delete = true, chat_dir = "C:\\Users\\JZR\\AppData\\Local\\nvim-data/gp/chats", chat_finder_pattern = "topic ", chat_free_cursor = false, chat_prompt_buf_type = false, chat_shortcut_delete = { modes = { "n", "i", "v", "x" }, shortcut = "<C-g>d" }, chat_shortcut_new = { modes = { "n", "i", "v", "x" }, shortcut = "<C-g>c" }, chat_shortcut_respond = { modes = { "n", "i", "v", "x" }, shortcut = "<C-g><C-g>" }, chat_shortcut_stop = { modes = { "n", "i", "v", "x" }, shortcut = "<C-g>s" }, chat_template = "# topic: ?\n\n- file: {{filename}}\n{{optional_headers}}\nWrite your queries after {{user_prefix}}. Use `{{respond_shortcut}}` or :{{cmd_prefix}}ChatRespond to generate a response.\nResponse generation can be terminated by using `{{stop_shortcut}}` or :{{cmd_prefix}}ChatStop command.\nChats are saved automatically. To delete this chat, use `{{delete_shortcut}}` or :{{cmd_prefix}}ChatDelete.\nBe cautious of very long chats. Start a fresh chat by using `{{new_shortcut}}` or :{{cmd_prefix}}ChatNew.\n\n---\n\n{{user_prefix}}\n", chat_topic_gen_prompt = "Summarize the topic of our conversation above in two or three words. Respond only with those words.", chat_user_prefix = "💬:", cmd_prefix = "Gp", command_auto_select_response = true, command_prompt_prefix_template = "🤖 {{agent}} ~ ", curl_params = <1>{}, log_file = "C:\\Users\\JZR\\AppData\\Local\\nvim-data/gp.nvim.log", log_sensitive = false, openai_api_key = "", state_dir = "C:\\Users\\JZR\\AppData\\Local\\nvim-data/gp/persisted", style_chat_finder_border = "single", style_chat_finder_margin_bottom = 8, style_chat_finder_margin_left = 1, style_chat_finder_margin_right = 2, style_chat_finder_margin_top = 2, style_chat_finder_preview_ratio = 0.5, style_popup_border = "single", style_popup_margin_bottom = 8, style_popup_margin_left = 1, style_popup_margin_right = 2, style_popup_margin_top = 2, style_popup_max_width = 160, template_append = "I have the following from {{filename}}:\n\n{{filetype}}\n{{selection}}\n\n\n{{command}}\n\nRespond exclusively with the snippet that should be appended after the selection above.", template_command = "{{command}}", template_prepend = "I have the following from {{filename}}:\n\n{{filetype}}\n{{selection}}\n\n\n{{command}}\n\nRespond exclusively with the snippet that should be prepended before the selection above.", template_rewrite = "I have the following from {{filename}}:\n\n{{filetype}}\n{{selection}}\n\n\n{{command}}\n\nRespond exclusively with the snippet that should replace the selection above.", template_selection = "I have the following from {{filename}}:\n\n{{filetype}}\n{{selection}}\n\n\n{{command}}", toggle_target = "vsplit", zindex = 49 }, defaults = { chat_system_prompt = "You are a general AI assistant.\n\nThe user provided the additional info about how they would like you to respond:\n\n- If you're unsure don't guess and say you don't know instead.\n- Ask question if you need clarification to provide better answer.\n- Think deeply and carefully from first principles step by step.\n- Zoom out first to see the big picture and then zoom in to details.\n- Use Socratic method to improve your thinking and coding skills.\n- Don't elide any code from your output if the answer requires coding.\n- Take a deep breath; You've got this!\n", chat_template = "# topic: ?\n\n- file: {{filename}}\n{{optional_headers}}\nWrite your queries after {{user_prefix}}. Use `{{respond_shortcut}}` or :{{cmd_prefix}}ChatRespond to generate a response.\nResponse generation can be terminated by using `{{stop_shortcut}}` or :{{cmd_prefix}}ChatStop command.\nChats are saved automatically. To delete this chat, use `{{delete_shortcut}}` or :{{cmd_prefix}}ChatDelete.\nBe cautious of very long chats. Start a fresh chat by using `{{new_shortcut}}` or :{{cmd_prefix}}ChatNew.\n\n---\n\n{{user_prefix}}\n", code_system_prompt = "You are an AI working as a code editor.\n\nPlease AVOID COMMENTARY OUTSIDE OF THE SNIPPET RESPONSE.\nSTART AND END YOUR ANSWER WITH:\n\n",
short_chat_template = "# topic: ?\n- file: {{filename}}\n---\n\n{{user_prefix}}\n"
},
deprecator = {
_deprecated = {},
check_health = <function 37>,
has_old_chat_signature = <function 38>,
has_old_prompt_signature = <function 39>,
is_valid = <function 40>,
report = <function 41>
},
dispatcher = {
config = {
curl_params = <table 1>
},
create_handler = <function 42>,
prepare_payload = <function 43>,
providers = {
groq = {
disable = false,
endpoint = "https://api.groq.com/openai/v1/chat/completions"
}
},
query = <function 44>,
query_dir = "C:\Users\JZR\AppData\Local\Temp\nvim/gp/query",
setup = <function 45>
},
display_chat_agent = <function 46>,
get_chat_agent = <function 47>,
get_command_agent = <function 48>,
helpers = {
autocmd = <function 49>,
create_augroup = <function 50>,
create_user_command = <function 51>,
cursor_to_line = <function 52>,
delete_buffer = <function 53>,
delete_file = <function 54>,
ends_with = <function 55>,
feedkeys = <function 56>,
file_to_table = <function 57>,
find_git_root = <function 58>,
get_buffer = <function 59>,
get_filetype = <function 60>,
last_content_line = <function 61>,
prepare_dir = <function 62>,
set_keymap = <function 63>,
starts_with = <function 64>,
table_to_file = <function 65>,
undojoin = <function 66>,
uuid = <function 67>
},
hooks = {
Implement = <function 68>,
InspectLog = <function 69>,
InspectPlugin = <function 70>
},
imager = {
_agents = { "DALL-E-3-1024x1024-natural", "DALL-E-3-1024x1024-natural-hd", "DALL-E-3-1024x1024-vivid", "DALL-E-3-1024x1024-vivid-hd", "DALL-E-3-1024x1792-natural", "DALL-E-3-1024x1792-natural-hd", "DALL-E-3-1024x1792-vivid", "DALL-E-3-1024x1792-vivid-hd", "DALL-E-3-1792x1024-natural", "DALL-E-3-1792x1024-natural-hd", "DALL-E-3-1792x1024-vivid", "DALL-E-3-1792x1024-vivid-hd" },
_state = {
agent = "DALL-E-3-1024x1024-natural"
},
agents = {
["DALL-E-3-1024x1024-natural"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1024-natural",
quality = "standard",
size = "1024x1024",
style = "natural"
},
["DALL-E-3-1024x1024-natural-hd"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1024-natural-hd",
quality = "hd",
size = "1024x1024",
style = "natural"
},
["DALL-E-3-1024x1024-vivid"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1024-vivid",
quality = "standard",
size = "1024x1024",
style = "vivid"
},
["DALL-E-3-1024x1024-vivid-hd"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1024-vivid-hd",
quality = "hd",
size = "1024x1024",
style = "vivid"
},
["DALL-E-3-1024x1792-natural"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1792-natural",
quality = "standard",
size = "1024x1792",
style = "natural"
},
["DALL-E-3-1024x1792-natural-hd"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1792-natural-hd",
quality = "hd",
size = "1024x1792",
style = "natural"
},
["DALL-E-3-1024x1792-vivid"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1792-vivid",
quality = "standard",
size = "1024x1792",
style = "vivid"
},
["DALL-E-3-1024x1792-vivid-hd"] = {
model = "dall-e-3",
name = "DALL-E-3-1024x1792-vivid-hd",
quality = "hd",
size = "1024x1792",
style = "vivid"
},
["DALL-E-3-1792x1024-natural"] = {
model = "dall-e-3",
name = "DALL-E-3-1792x1024-natural",
quality = "standard",
size = "1792x1024",
style = "natural"
},
["DALL-E-3-1792x1024-natural-hd"] = {
model = "dall-e-3",
name = "DALL-E-3-1792x1024-natural-hd",
quality = "hd",
size = "1792x1024",
style = "natural"
},
["DALL-E-3-1792x1024-vivid"] = {
model = "dall-e-3",
name = "DALL-E-3-1792x1024-vivid",
quality = "standard",
size = "1792x1024",
style = "vivid"
},
["DALL-E-3-1792x1024-vivid-hd"] = {
model = "dall-e-3",
name = "DALL-E-3-1792x1024-vivid-hd",
quality = "hd",
size = "1792x1024",
style = "vivid"
}
},
cmd = {
Image = <function 71>,
ImageAgent = <function 72>
},
config = {
cmd_prefix = "Gp",
disable = false,
prompt_prefix_template = "🖌️ {{agent}} ~ ",
prompt_save = "🖌️💾 ~ ",
state_dir = "C:\Users\JZR\AppData\Local\nvim-data/gp/persisted",
store_dir = "C:\Users\JZR\AppData\Local\Temp/gp_images"
},
disabled = false,
generate_image = <function 73>,
get_image_agent = <function 74>,
refresh = <function 75>,
setup = <function 76>
},
logger = {
_log_history = { "[2024-08-20.19-59-10.600] [1b57ebd2] DEBUG: creating user command: GpEnew", "[2024-08-20.19-59-10.600] [1b57ebd2] DEBUG: creating user command: GpWhisperEnew", "[2024-08-20.19-59-10.600] [1b57ebd2] DEBUG: creating user command: GpPopup", "[2024-08-20.19-59-10.700] [1b57ebd2] DEBUG: creating user command: GpWhisperPopup", "[2024-08-20.19-59-10.700] [1b57ebd2] DEBUG: creating user command: GpTabnew", "[2024-08-20.19-59-10.700] [1b57ebd2] DEBUG: creating user command: GpWhisperTabnew", "[2024-08-20.19-59-10.800] [1b57ebd2] DEBUG: creating user command: GpRewrite", "[2024-08-20.19-59-10.800] [1b57ebd2] DEBUG: creating user command: GpWhisperRewrite", "[2024-08-20.19-59-10.800] [1b57ebd2] DEBUG: creating user command: GpVnew", "[2024-08-20.19-59-10.800] [1b57ebd2] DEBUG: creating user command: GpWhisperVnew", "[2024-08-20.19-59-10.900] [1b57ebd2] DEBUG: creating user command: GpChatRespond", "[2024-08-20.19-59-10.900] [1b57ebd2] DEBUG: creating user command: GpAgent", "[2024-08-20.19-59-10.900] [1b57ebd2] DEBUG: creating user command: GpContext", "[2024-08-20.19-59-10.100] [1b57ebd2] DEBUG: creating user command: GpWhisperAppend", "[2024-08-20.19-59-10.100] [1b57ebd2] DEBUG: creating user command: GpAppend", "[2024-08-20.19-59-10.100] [1b57ebd2] DEBUG: creating user command: GpChatToggle", "[2024-08-20.19-59-10.100] [1b57ebd2] DEBUG: creating user command: GpChatPaste", "[2024-08-20.19-59-10.130] [1b57ebd2] DEBUG: setup finished", "[2024-08-20.20-00-08.869] [1b57ebd2] DEBUG: state[updated]: disk=1724155150 old=1724155150 new=1724155208", "[2024-08-20.20-00-08.871] [1b57ebd2] DEBUG: running hook: InspectPlugin" },
debug = <function 77>,
error = <function 78>,
info = <function 79>,
now = <function 80>,
setup = <function 81>,
trace = <function 82>,
warning = <function 83>
},
new_chat = <function 84>,
not_chat = <function 85>,
open_buf = <function 86>,
prep_chat = <function 87>,
prep_context = <function 88>,
prep_md = <function 89>,
prepare_commands = <function 90>,
refresh_state = <function 91>,
render = {
append_selection = <function 92>,
popup = <function 93>,
prompt_template = <function 94>,
template = <function 95>,
template_replace = <function 96>
},
repo_instructions = <function 97>,
resolve_buf_target = <function 98>,
setup = <function 99>,
spinner = {
_current_spinner_frame = 1,
_display_spinner = <function 100>,
_spinner_frames = { "01010010", "01101111", "01100010", "01101001", "01110100", "01111000", "00101111", "01100111", "01110000", "00101110", "01101110", "01110110", "01101001", "01101101" },
start_spinner = <function 101>,
stop_spinner = <function 102>
},
tasker = {
_handles = {},
_queries = {},
add_handle = <function 103>,
cleanup_old_queries = <function 104>,
get_query = <function 105>,
grep_directory = <function 106>,
is_busy = <function 107>,
once = <function 108>,
remove_handle = <function 109>,
run = <function 110>,
set_query = <function 111>,
stop = <function 112>
},
vault = {
_obfuscated_secrets = {},
_state = {},
add_secret = <function 113>,
config = {
curl_params = <table 1>,
state_dir = "C:\Users\JZR\AppData\Local\nvim-data/gp/persisted"
},
get_secret = <function 114>,
refresh_copilot_bearer = <function 115>,
resolve_secret = <function 116>,
run_with_secret = <function 117>,
setup = <function 118>
},
whisper = {
Whisper = <function 119>,
check_health = <function 120>,
cmd = {
Whisper = <function 121>
},
config = {
cmd_prefix = "Gp",
curl_params = <table 1>,
disable = false,
endpoint = "https://api.openai.com/v1/audio/transcriptions",
language = "en",
silence = "1.75",
store_dir = "C:\Users\JZR\AppData\Local\Temp/gp_whisper",
style_popup_border = "single",
tempo = "1.75"
},
disabled = false,
setup = <function 122>
}
}
Command params:
{
args = "",
bang = false,
count = -1,
fargs = {},
line1 = 2,
line2 = 2,
mods = "",
name = "GpInspectPlugin",
range = 0,
reg = "",
smods = {
browse = false,
confirm = false,
emsg_silent = false,
hide = false,
horizontal = false,
keepalt = false,
keepjumps = false,
keepmarks = false,
keeppatterns = false,
lockmarks = false,
noautocmd = false,
noswapfile = false,
sandbox = false,
silent = false,
split = "",
tab = -1,
unsilent = false,
verbose = -1,
vertical = false
}
}

[yuukibarns]

[Robitx]

@yuukibarns yep, sadly looks like a geo fence issue 🙁 https://github.com/groq/groq-python/issues/32

I've had similar troubles with gemini in EU, if you can get some proxy to fake your location to US you could use curl_params config to set it up:

-- optional curl parameters (for proxy, etc.) 
-- curl_params = { "--proxy", "http://X.X.X.X:XXXX" } 
curl_params = {}, 

[yuukibarns]

Thanks for your analysis.
I've turned to DeepSeek for alternative, which is in mainland China, and supports Chinese well.
An amazing plugin, 👍

[Himujjal]

local env = require "env"

local OPENAI_KEY = env.OPENAI_KEY
local GROQ_KEY = env.GROQ_KEY
local OPENAI_HOST = "https://api.openai.com/v1/chat/completions"
local GROQ_HOST = "https://api.groq.com/openai/v1/chat/completions"
local GROQ_AUDIO = "https://api.groq.com/openai/v1/audio/transcriptions"

-- Gp (GPT prompt) lua plugin for Neovim
-- https://github.com/Robitx/gp.nvim/

--------------------------------------------------------------------------------
-- Default config
--------------------------------------------------------------------------------
---@class GpConfig
-- README_REFERENCE_MARKER_START
local config = {
  providers = {
    openai = {
      disable = false,
      endpoint = OPENAI_HOST,
      secret = OPENAI_KEY,
    },
    groq = {
      disable = false,
      endpoint = GROQ_HOST,
      secret = GROQ_KEY,
    },
  },

  chat_shortcut_respond = { modes = { "n", "i", "v", "x" }, shortcut = "<C-g><cr>" },
  chat_confirm_delete = false,

  -- prefix for all commands
  cmd_prefix = "Gp",

  default_chat_agent = "GroqLLAMA_8B",
  whisper = {
    -- -- TODO: In the future, when gpnvim will support whisper options
    -- endpoint = GROQ_AUDIO,
    -- secret = GROQ_KEY,
  },

  agents = {
    {
      provider = "openai",
      name = "ChatGPT4o",
      chat = false,
      command = true,
      -- string with model name or table with model name and parameters
      model = { model = "gpt-4o", temperature = 0.8, top_p = 1 },
      -- system prompt (use this to specify the persona/role of the AI)
      system_prompt = "You are an AI working as a code editor.\n\n"
        .. "Please AVOID COMMENTARY OUTSIDE OF THE SNIPPET RESPONSE.\n"
        .. "START AND END YOUR ANSWER WITH:\n\n```",
    },
    {
      provider = "openai",
      name = "ChatGPT4o-mini",
      chat = true,
      command = true,
      -- string with model name or table with model name and parameters
      model = { model = "gpt-4o-mini", temperature = 0.8, top_p = 1 },
      -- system prompt (use this to specify the persona/role of the AI)
      system_prompt = "You are an AI working as a code editor.\n\n"
        .. "Please AVOID COMMENTARY OUTSIDE OF THE SNIPPET RESPONSE.\n"
        .. "START AND END YOUR ANSWER WITH:\n\n```",
    },
    {
      provider = "groq",
      name = "GroqLLAMA_8B",
      chat = true,
      command = true,
      -- string with model name or table with model name and parameters
      model = { model = "llama-3.1-70b-versatile", temperature = 0.8, top_p = 1 },
      system_prompt = "You are an AI helping the user with code and other tasks\n\n"
        .. "Please AVOID COMMENTARY OUTSIDE OF THE SNIPPET RESPONSE.\n",
    },
    {
      provider = "groq",
      name = "GroqLLAMA_8B",
      chat = true,
      command = true,
      -- string with model name or table with model name and parameters
      model = { model = "llama-3.2-11b-text-preview", temperature = 0.8, top_p = 1 },
      system_prompt = "Given a task or problem, please provide a concise and well-formatted solution or answer.\n\n"
        .. "Please keep your response within a code snippet, and avoid unnecessary commentary.\n",
    }
  },
}

--
return {
  "robitx/gp.nvim",
  event = "BufEnter",
  config = function() require("gp").setup(config) end,
}

Oh, man. This plugin with Groq is just insane! Its very very fast. Makes it feel like a good Supermaven companion which is another tool I use.

Note that require "env" is basically env.lua file.