depot/third_party/nixpkgs/nixos/modules/services/web-apps/chatgpt-retrieval-plugin.nix
Default email 87f9c27ba9 Project import generated by Copybara.
GitOrigin-RevId: fe2ecaf706a5907b5e54d979fbde4924d84b65fc
2023-04-12 14:48:02 +02:00

106 lines
3.3 KiB
Nix

{ config, pkgs, lib, ... }:
with lib;
let
cfg = config.services.chatgpt-retrieval-plugin;
in
{
options.services.chatgpt-retrieval-plugin = {
enable = mkEnableOption (lib.mdDoc "chatgpt-retrieval-plugin service");
port = mkOption {
type = types.port;
default = 8080;
description = lib.mdDoc "Port the chatgpt-retrieval-plugin service listens on.";
};
host = mkOption {
type = types.str;
default = "127.0.0.1";
example = "0.0.0.0";
description = lib.mdDoc "The hostname or IP address for chatgpt-retrieval-plugin to bind to.";
};
bearerTokenPath = mkOption {
type = types.path;
description = lib.mdDoc ''
Path to the secret bearer token used for the http api authentication.
'';
default = "";
example = "config.age.secrets.CHATGPT_RETRIEVAL_PLUGIN_BEARER_TOKEN.path";
};
openaiApiKeyPath = mkOption {
type = types.path;
description = lib.mdDoc ''
Path to the secret openai api key used for embeddings.
'';
default = "";
example = "config.age.secrets.CHATGPT_RETRIEVAL_PLUGIN_OPENAI_API_KEY.path";
};
datastore = mkOption {
type = types.enum [ "pinecone" "weaviate" "zilliz" "milvus" "qdrant" "redis" ];
default = "qdrant";
description = lib.mdDoc "This specifies the vector database provider you want to use to store and query embeddings.";
};
qdrantCollection = mkOption {
type = types.str;
description = lib.mdDoc ''
name of the qdrant collection used to store documents.
'';
default = "document_chunks";
};
};
config = mkIf cfg.enable {
assertions = [
{
assertion = cfg.bearerTokenPath != "";
message = "services.chatgpt-retrieval-plugin.bearerTokenPath should not be an empty string.";
}
{
assertion = cfg.openaiApiKeyPath != "";
message = "services.chatgpt-retrieval-plugin.openaiApiKeyPath should not be an empty string.";
}
];
systemd.services.chatgpt-retrieval-plugin = {
description = "ChatGPT Retrieval Plugin";
after = [ "network.target" ];
wantedBy = [ "multi-user.target" ];
serviceConfig = {
DynamicUser = true;
Restart = "always";
LoadCredential = [
"BEARER_TOKEN:${cfg.bearerTokenPath}"
"OPENAI_API_KEY:${cfg.openaiApiKeyPath}"
];
StateDirectory = "chatgpt-retrieval-plugin";
StateDirectoryMode = "0755";
};
# it doesn't make sense to pass secrets as env vars, this is a hack until
# upstream has proper secret management.
script = ''
export BEARER_TOKEN=$(${pkgs.systemd}/bin/systemd-creds cat BEARER_TOKEN)
export OPENAI_API_KEY=$(${pkgs.systemd}/bin/systemd-creds cat OPENAI_API_KEY)
exec ${pkgs.chatgpt-retrieval-plugin}/bin/start --host ${cfg.host} --port ${toString cfg.port}
'';
environment = {
DATASTORE = cfg.datastore;
QDRANT_COLLECTION = mkIf (cfg.datastore == "qdrant") cfg.qdrantCollection;
};
};
systemd.tmpfiles.rules = [
# create the directory for static files for fastapi
"C /var/lib/chatgpt-retrieval-plugin/.well-known - - - - ${pkgs.chatgpt-retrieval-plugin}/${pkgs.python3Packages.python.sitePackages}/.well-known"
];
};
}