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Azure OpenAI LLM templates

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Cyber MacGeddon 2024-10-04 15:45:06 +01:00
parent d96ef8269a
commit 81c357e54a
4 changed files with 129 additions and 0 deletions
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1
templates/all-patterns.jsonnet
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@ -7,6 +7,7 @@
import "patterns/triple-store-neo4j.jsonnet",
import "patterns/graph-rag.jsonnet",
import "patterns/llm-azure.jsonnet",
import "patterns/llm-azure-openai.jsonnet",
import "patterns/llm-bedrock.jsonnet",
import "patterns/llm-claude.jsonnet",
import "patterns/llm-cohere.jsonnet",

1
templates/components.jsonnet
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@ -1,5 +1,6 @@
{
"azure": import "components/azure.jsonnet",
"azure-openai": import "components/azure-openai.jsonnet",
"bedrock": import "components/bedrock.jsonnet",
"claude": import "components/claude.jsonnet",
"cohere": import "components/cohere.jsonnet",

95
templates/components/azure-openai.jsonnet Normal file
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@ -0,0 +1,95 @@
local base = import "base/base.jsonnet";
local images = import "values/images.jsonnet";
local url = import "values/url.jsonnet";
local prompts = import "prompts/mixtral.jsonnet";
{
"azure-openai-token":: "${AZURE_OPENAI_TOKEN}",
"azure-openai-model":: "GPT-3.5-Turbo",
"azure-openai-max-output-tokens":: 4192,
"azure-openai-temperature":: 0.0,
"text-completion" +: {
create:: function(engine)
local container =
engine.container("text-completion")
.with_image(images.trustgraph)
.with_command([
"text-completion-azure-openai",
"-p",
url.pulsar,
"-k",
$["azure-openai-token"],
"-m",
$["azure-openai-model"],
"-x",
std.toString($["azure-openai-max-output-tokens"]),
"-t",
std.toString($["azure-openai-temperature"]),
])
.with_limits("0.5", "128M")
.with_reservations("0.1", "128M");
local containerSet = engine.containers(
"text-completion", [ container ]
);
local service =
engine.internalService(containerSet)
.with_port(8000, 8000, "metrics");
engine.resources([
containerSet,
service,
])
},
"text-completion-rag" +: {
create:: function(engine)
local container =
engine.container("text-completion-rag")
.with_image(images.trustgraph)
.with_command([
"text-completion-azure",
"-p",
url.pulsar,
"-k",
$["azure-openai-token"],
"-e",
$["azure-openai-model"],
"-x",
std.toString($["azure-openai-max-output-tokens"]),
"-t",
std.toString($["azure-openai-temperature"]),
"-i",
"non-persistent://tg/request/text-completion-rag",
"-o",
"non-persistent://tg/response/text-completion-rag-response",
])
.with_limits("0.5", "128M")
.with_reservations("0.1", "128M");
local containerSet = engine.containers(
"text-completion-rag", [ container ]
);
local service =
engine.internalService(containerSet)
.with_port(8000, 8000, "metrics");
engine.resources([
containerSet,
service,
])
}
} + prompts

32
templates/patterns/llm-azure-openai.jsonnet Normal file
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{
pattern: {
name: "azure-openai",
icon: "🤖💬",
title: "Add Azure OpenAI LLM endpoint for text completion",
description: "This pattern integrates an Azure OpenAI LLM endpoint hosted in the Azure cloud for text completion operations. You need an Azure subscription to be able to use this service.",
requires: ["pulsar", "trustgraph"],
features: ["llm"],
args: [
{
name: "azure-openai-max-output-tokens",
label: "Maximum output tokens",
type: "integer",
description: "Limit on number tokens to generate",
default: 4096,
required: true,
},
{
name: "azure-openai-temperature",
label: "Temperature",
type: "slider",
description: "Controlling predictability / creativity balance",
min: 0,
max: 1,
step: 0.05,
default: 0.5,
},
],
category: [ "llm" ],
},
module: "components/azure.jsonnet",
}