trustgraph/templates/components/googleaistudio.jsonnet
2024-11-05 23:49:24 +00:00

85 lines
2.9 KiB
Jsonnet

local base = import "base/base.jsonnet";
local images = import "values/images.jsonnet";
local url = import "values/url.jsonnet";
local prompts = import "prompts/mixtral.jsonnet";
{
"googleaistudio-max-output-tokens":: 4096,
"googleaistudio-temperature":: 0.0,
"text-completion" +: {
create:: function(engine)
local envSecrets = engine.envSecrets("bedrock-credentials")
.with_env_var("GOOGLE_AI_STUDIO_KEY", "googleaistudio-key");
local container =
engine.container("text-completion")
.with_image(images.trustgraph)
.with_command([
"text-completion-googleaistudio",
"-p",
url.pulsar,
"-x",
std.toString($["googleaistudio-max-output-tokens"]),
"-t",
"%0.3f" % $["googleaistudio-temperature"],
"-m",
$["googleaistudio-model"],
])
.with_env_var_secrets(envSecrets)
.with_limits("0.5", "128M")
.with_reservations("0.1", "128M");
local containerRag =
engine.container("text-completion-rag")
.with_image(images.trustgraph)
.with_command([
"text-completion-googleaistudio",
"-p",
url.pulsar,
"-x",
std.toString($["googleaistudio-max-output-tokens"]),
"-t",
"%0.3f" % $["googleaistudio-temperature"],
"-m",
$["googleaistudio-model"],
"-i",
"non-persistent://tg/request/text-completion-rag",
"-o",
"non-persistent://tg/response/text-completion-rag-response",
])
.with_env_var_secrets(envSecrets)
.with_limits("0.5", "128M")
.with_reservations("0.1", "128M");
local containerSet = engine.containers(
"text-completion", [ container ]
);
local containerSetRag = engine.containers(
"text-completion-rag", [ containerRag ]
);
local service =
engine.internalService(containerSet)
.with_port(8000, 8000, "metrics");
local serviceRag =
engine.internalService(containerSetRag)
.with_port(8000, 8000, "metrics");
engine.resources([
envSecrets,
containerSet,
containerSetRag,
service,
serviceRag,
])
},
} + prompts