mirror of
https://github.com/trustgraph-ai/trustgraph.git
synced 2026-04-25 08:26:21 +02:00
6d200c79c5
API-side support for Wikipedia, DBpedia and internet search functions This incorporates a refactor of the API code to break it up, separate classes for endpoints to reduce duplication
76 lines
2.4 KiB
Jsonnet
76 lines
2.4 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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"ollama-model":: "gemma2:9b",
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"text-completion" +: {
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create:: function(engine)
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local envSecrets = engine.envSecrets("ollama-credentials")
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.with_env_var("OLLAMA_HOST", "ollama-host");
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local container =
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engine.container("text-completion")
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.with_image(images.trustgraph)
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.with_command([
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"text-completion-ollama",
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"-p",
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url.pulsar,
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"-m",
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$["ollama-model"],
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])
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.with_env_var_secrets(envSecrets)
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.with_limits("0.5", "128M")
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.with_reservations("0.1", "128M");
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local containerRag =
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engine.container("text-completion-rag")
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.with_image(images.trustgraph)
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.with_command([
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"text-completion-ollama",
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"-p",
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url.pulsar,
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"-m",
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$["ollama-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 containerSet = engine.containers(
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"text-completion", [ container ]
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);
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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 service =
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engine.internalService(containerSet)
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.with_port(8080, 8080, "metrics");
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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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containerSet,
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containerSetRag,
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service,
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serviceRag,
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])
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},
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} + prompts
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