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
104 lines
3.2 KiB
Jsonnet
104 lines
3.2 KiB
Jsonnet
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/lmstudio.jsonnet";
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{
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with:: function(key, value)
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self + {
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["lmstudio-" + key]:: value,
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},
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"lmstudio-max-output-tokens":: 4096,
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"lmstudio-temperature":: 0.0,
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"lmstudio-models":: models,
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"llm-models" +:: $["lmstudio-models"],
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"text-completion" +: {
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create:: function(engine)
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local envSecrets = engine.envSecrets("lmstudio-credentials")
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.with_env_var("LMSTUDIO_URL", "lmstudio-url");
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local container =
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engine.container("text-completion")
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.with_image(images.trustgraph_flow)
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.with_command([
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"text-completion-lmstudio",
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"-p",
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url.pulsar,
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"-x",
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std.toString($["lmstudio-max-output-tokens"]),
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"-t",
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"%0.3f" % $["lmstudio-temperature"],
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"--log-level",
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$["log-level"],
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])
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.with_env_var_secrets(envSecrets)
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.with_limits("0.5", "128M")
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.with_reservations("0.1", "128M");
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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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envSecrets,
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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 envSecrets = engine.envSecrets("lmstudio-credentials")
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.with_env_var("LMSTUDIO_URL", "lmstudio-url");
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local containerRag =
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engine.container("text-completion-rag")
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.with_image(images.trustgraph_flow)
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.with_command([
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"text-completion-lmstudio",
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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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"-x",
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std.toString($["lmstudio-max-output-tokens"]),
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"-t",
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"%0.3f" % $["lmstudio-temperature"],
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"--log-level",
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$["log-level"],
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])
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.with_env_var_secrets(envSecrets)
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.with_limits("0.5", "128M")
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.with_reservations("0.1", "128M");
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local containerSetRag = engine.containers(
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"text-completion-rag", [ containerRag ]
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);
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local serviceRag =
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engine.internalService(containerSetRag)
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.with_port(8000, 8000, "metrics");
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engine.resources([
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envSecrets,
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containerSetRag,
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serviceRag,
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])
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},
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} + prompts
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