mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 08:26:21 +02:00
59 lines
1.7 KiB
Jsonnet
59 lines
1.7 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";
|
|
|
|
{
|
|
|
|
with:: function(key, value)
|
|
self + {
|
|
["lmstudio-" + key]:: value,
|
|
},
|
|
|
|
"lmstudio-max-output-tokens":: 4096,
|
|
"lmstudio-temperature":: 0.0,
|
|
"lmstudio-model":: "GPT-3.5-Turbo",
|
|
|
|
"text-completion" +: {
|
|
|
|
create:: function(engine)
|
|
|
|
local envSecrets = engine.envSecrets("lmstudio-credentials")
|
|
.with_env_var("LMSTUDIO_URL", "lmstudio-url");
|
|
|
|
local container =
|
|
engine.container("text-completion")
|
|
.with_image(images.trustgraph_flow)
|
|
.with_command([
|
|
"text-completion-lmstudio",
|
|
"-p",
|
|
url.pulsar,
|
|
"-x",
|
|
std.toString($["lmstudio-max-output-tokens"]),
|
|
"-t",
|
|
"%0.3f" % $["lmstudio-temperature"],
|
|
"-m",
|
|
$["lmstudio-model"],
|
|
])
|
|
.with_env_var_secrets(envSecrets)
|
|
.with_limits("0.5", "128M")
|
|
.with_reservations("0.1", "128M");
|
|
|
|
local containerSet = engine.containers(
|
|
"text-completion", [ container ]
|
|
);
|
|
|
|
local service =
|
|
engine.internalService(containerSet)
|
|
.with_port(8080, 8080, "metrics");
|
|
|
|
engine.resources([
|
|
envSecrets,
|
|
containerSet,
|
|
service,
|
|
])
|
|
|
|
},
|
|
|
|
} + prompts
|
|
|