mirror of
https://github.com/trustgraph-ai/trustgraph.git
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74cc8a4685
git-subtree-dir: ai-context/trustgraph-templates git-subtree-split: 42a5fd1b678f32be378062e30451e2052ccb95dd
121 lines
3.5 KiB
Jsonnet
121 lines
3.5 KiB
Jsonnet
local base = import "base/base.jsonnet";
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local images = import "values/images.jsonnet";
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local url = import "values/url.jsonnet";
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local prompts = import "prompts/mixtral.jsonnet";
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local models = import "parameters/vertexai.jsonnet";
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{
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with:: function(key, value)
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self + {
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["vertexai-" + key]:: value,
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},
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"vertexai-private-key":: "/vertexai/private.json",
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"vertexai-region":: "us-central1",
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"vertexai-max-output-tokens":: 4096,
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"vertexai-temperature":: 0.0,
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"vertexai-models":: models,
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"llm-models" +:: $["vertexai-models"],
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"text-completion" +: {
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create:: function(engine)
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local cfgVol = engine.secretVolume(
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"vertexai-creds",
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"./vertexai",
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{
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"private.json": importstr "vertexai/private.json",
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}
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);
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local container =
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engine.container("text-completion")
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.with_image(images.trustgraph_vertexai)
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.with_command([
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"text-completion-vertexai",
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"-p",
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url.pulsar,
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"-k",
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$["vertexai-private-key"],
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"-r",
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$["vertexai-region"],
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"-x",
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std.toString($["vertexai-max-output-tokens"]),
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"-t",
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"%0.3f" % $["vertexai-temperature"],
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])
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.with_limits("0.5", "256M")
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.with_reservations("0.1", "256M")
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.with_volume_mount(cfgVol, "/vertexai");
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local containerSet = engine.containers(
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"text-completion", [ container ]
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);
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local service =
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engine.internalService(containerSet)
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.with_port(8000, 8000, "metrics");
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engine.resources([
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cfgVol,
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containerSet,
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service,
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])
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},
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"text-completion-rag" +: {
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create:: function(engine)
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local cfgVol = engine.secretVolume(
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"vertexai-creds",
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"./vertexai",
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{
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"private.json": importstr "vertexai/private.json",
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}
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);
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local container =
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engine.container("text-completion-rag")
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.with_image(images.trustgraph_vertexai)
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.with_command([
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"text-completion-vertexai",
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"-p",
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url.pulsar,
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"--id",
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"text-completion-rag",
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"-k",
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$["vertexai-private-key"],
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"-r",
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$["vertexai-region"],
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"-x",
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std.toString($["vertexai-max-output-tokens"]),
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"-t",
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"%0.3f" % $["vertexai-temperature"],
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])
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.with_limits("0.5", "256M")
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.with_reservations("0.1", "256M")
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.with_volume_mount(cfgVol, "/vertexai");
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local containerSet = engine.containers(
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"text-completion-rag", [ container ]
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);
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local service =
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engine.internalService(containerSet)
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.with_port(8000, 8000, "metrics");
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engine.resources([
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cfgVol,
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containerSet,
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service,
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])
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},
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} + prompts
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