mirror of
https://github.com/trustgraph-ai/trustgraph.git
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cec9e29222
* Dual-mode templates * Fixed generate-all so that works * Fix ability to specify Claude model
63 lines
1.9 KiB
Jsonnet
63 lines
1.9 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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{
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with:: function(key, value)
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self + {
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["openai-rag-" + key]:: value,
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},
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"openai-rag-max-output-tokens":: 4096,
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"openai-rag-temperature":: 0.0,
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"openai-rag-model":: "GPT-3.5-Turbo",
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"text-completion-rag" +: {
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create:: function(engine)
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local envSecrets = engine.envSecrets("openai-credentials")
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.with_env_var("OPENAI_TOKEN", "openai-token");
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local containerRag =
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engine.container("text-completion-rag")
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.with_image(images.trustgraph)
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.with_command([
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"text-completion-openai",
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"-p",
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url.pulsar,
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"-x",
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std.toString($["openai-rag-max-output-tokens"]),
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"-t",
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"%0.3f" % $["openai-rag-temperature"],
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"-m",
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$["openai-rag-model"],
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"-i",
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"non-persistent://tg/request/text-completion-rag",
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"-o",
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"non-persistent://tg/response/text-completion-rag",
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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(8080, 8080, "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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