trustgraph/templates/components/vertexai.jsonnet
2024-11-05 23:04:21 +00:00

119 lines
3.6 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";
{
"vertexai-model":: "gemini-1.0-pro-001",
"vertexai-private-key":: "/vertexai/private.json",
"vertexai-region":: "us-central1",
"vertexai-max-output-tokens":: 4096,
"vertexai-temperature":: 0.0,
"text-completion" +: {
create:: function(engine)
local cfgVol = engine.secretVolume(
"vertexai-creds",
"./vertexai",
{
"private.json": importstr "vertexai/private.json",
}
);
local container =
engine.container("text-completion")
.with_image(images.trustgraph)
.with_command([
"text-completion-vertexai",
"-p",
url.pulsar,
"-k",
$["vertexai-private-key"],
"-r",
$["vertexai-region"],
"-x",
std.toString($["vertexai-max-output-tokens"]),
"-t",
"%0.3f" % $["vertexai-temperature"],
"-m",
$["vertexai-model"],
])
.with_limits("0.5", "256M")
.with_reservations("0.1", "256M")
.with_volume_mount(cfgVol, "/vertexai");
local containerSet = engine.containers(
"text-completion", [ container ]
);
local service =
engine.internalService(containerSet)
.with_port(8000, 8000, "metrics");
engine.resources([
cfgVol,
containerSet,
service,
])
},
"text-completion-rag" +: {
create:: function(engine)
local cfgVol = engine.secretVolume(
"vertexai-creds",
"./vertexai",
{
"private.json": importstr "vertexai/private.json",
}
);
local container =
engine.container("text-completion-rag")
.with_image(images.trustgraph)
.with_command([
"text-completion-vertexai",
"-p",
url.pulsar,
"-k",
$["vertexai-private-key"],
"-r",
$["vertexai-region"],
"-x",
std.toString($["vertexai-max-output-tokens"]),
"-t",
"%0.3f" % $["vertexai-temperature"],
"-m",
$["vertexai-model"],
"-i",
"non-persistent://tg/request/text-completion-rag",
"-o",
"non-persistent://tg/response/text-completion-rag-response",
])
.with_limits("0.5", "256M")
.with_reservations("0.1", "256M")
.with_volume_mount(cfgVol, "/vertexai");
local containerSet = engine.containers(
"text-completion-rag", [ container ]
);
local service =
engine.internalService(containerSet)
.with_port(8000, 8000, "metrics");
engine.resources([
cfgVol,
containerSet,
service,
])
}
} + prompts