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import {
Group,
NumberInput,
Select,
Skeleton,
Slider,
Stack,
Switch,
Text,
TextInput,
Textarea,
} from "@mantine/core";
import { useForm } from "@mantine/form";
import { IconInfoCircle } from "@tabler/icons-react";
import { usePubSub } from "create-pubsub/react";
import { Suspense, lazy, useEffect, useState } from "react";
import { Pattern, match } from "ts-pattern";
import { addLogEntry } from "../../../../modules/logEntries";
import { getOpenAiClient } from "../../../../modules/openai";
import { settingsPubSub } from "../../../../modules/pubSub";
import { defaultSettings, inferenceTypes } from "../../../../modules/settings";
import { isWebGPUAvailable } from "../../../../modules/webGpu";
const WebLlmModelSelect = lazy(
() => import("../../../AiResponse/WebLlmModelSelect"),
);
const WllamaModelSelect = lazy(
() => import("../../../AiResponse/WllamaModelSelect"),
);
export default function AISettingsForm() {
const [settings, setSettings] = usePubSub(settingsPubSub);
const [openAiModels, setOpenAiModels] = useState<
{
label: string;
value: string;
}[]
>([]);
const [openAiApiModelError, setOpenAiApiModelError] = useState<
string | undefined
>(undefined);
const form = useForm({
initialValues: settings,
onValuesChange: setSettings,
});
useEffect(() => {
async function fetchOpenAiModels() {
try {
const openai = getOpenAiClient({
baseURL: settings.openAiApiBaseUrl,
apiKey: settings.openAiApiKey,
});
const response = await openai.models.list();
const models = response.data.map((model) => ({
label: model.id,
value: model.id,
}));
setOpenAiModels(models);
setOpenAiApiModelError(undefined);
} catch (error) {
const errorMessage =
error instanceof Error ? error.message : String(error);
addLogEntry(`Error fetching OpenAI models: ${errorMessage}`);
setOpenAiModels([]);
setOpenAiApiModelError(errorMessage);
}
}
if (settings.inferenceType === "openai" && settings.openAiApiBaseUrl) {
fetchOpenAiModels();
}
}, [
settings.inferenceType,
settings.openAiApiBaseUrl,
settings.openAiApiKey,
]);
useEffect(() => {
if (openAiApiModelError === form.errors.openAiApiModel) return;
form.setFieldError("openAiApiModel", openAiApiModelError);
}, [openAiApiModelError, form.setFieldError, form.errors.openAiApiModel]);
useEffect(() => {
if (openAiModels.length > 0) {
const hasNoModelSelected = !form.values.openAiApiModel;
const isModelInvalid = !openAiModels.find(
(model) => model.value === form.values.openAiApiModel,
);
if (hasNoModelSelected || isModelInvalid) {
form.setFieldValue("openAiApiModel", openAiModels[0].value);
}
} else if (form.values.openAiApiModel) {
form.setFieldValue("openAiApiModel", "");
}
}, [openAiModels, form.setFieldValue, form.values.openAiApiModel]);
const isUsingCustomInstructions =
form.values.systemPrompt !== defaultSettings.systemPrompt;
const handleRestoreDefaultInstructions = () => {
form.setFieldValue("systemPrompt", defaultSettings.systemPrompt);
};
const suggestedCpuThreads =
(navigator.hardwareConcurrency &&
Math.max(
defaultSettings.cpuThreads,
navigator.hardwareConcurrency - 2,
)) ??
defaultSettings.cpuThreads;
return (
<Stack gap="md">
<Switch
label="AI Response"
{...form.getInputProps("enableAiResponse", {
type: "checkbox",
})}
labelPosition="left"
description="Enable or disable AI-generated responses to your queries. When disabled, you'll only see web search results."
/>
{form.values.enableAiResponse && (
<>
<Stack gap="xs" mb="md">
<Text size="sm">Search results to consider</Text>
<Text size="xs" c="dimmed">
Determines the number of search results to consider when
generating AI responses. A higher value may enhance accuracy, but
it will also increase response time.
</Text>
<Slider
{...form.getInputProps("searchResultsToConsider")}
min={0}
max={6}
marks={Array.from({ length: 7 }, (_, index) => ({
value: index,
label: index.toString(),
}))}
/>
</Stack>
<Select
{...form.getInputProps("inferenceType")}
label="AI Processing Location"
data={inferenceTypes}
allowDeselect={false}
/>
{form.values.inferenceType === "openai" && (
<>
<TextInput
{...form.getInputProps("openAiApiBaseUrl")}
label="API Base URL"
placeholder="http://localhost:11434/v1"
required
/>
<Group gap="xs">
<IconInfoCircle size={16} />
<Text size="xs" c="dimmed" flex={1}>
You may need to add{" "}
<em>
{`${self.location.protocol}//${self.location.hostname}`}
</em>{" "}
to the list of allowed network origins in your API server
settings.
</Text>
</Group>
<TextInput
{...form.getInputProps("openAiApiKey")}
label="API Key"
type="password"
description="Optional, as local API servers usually do not require it."
/>
<Select
{...form.getInputProps("openAiApiModel")}
label="API Model"
data={openAiModels}
description="Optional, as some API servers don't provide a model list."
allowDeselect={false}
disabled={openAiModels.length === 0}
searchable
/>
</>
)}
{form.values.inferenceType === "browser" && (
<>
{isWebGPUAvailable && (
<Switch
label="WebGPU"
{...form.getInputProps("enableWebGpu", {
type: "checkbox",
})}
labelPosition="left"
description="Enable or disable WebGPU usage. When disabled, the app will use the CPU instead."
/>
)}
{match([isWebGPUAvailable, form.values.enableWebGpu])
.with([true, true], () => (
<Suspense fallback={<Skeleton height={50} />}>
<WebLlmModelSelect
value={form.values.webLlmModelId}
onChange={(value) =>
form.setFieldValue("webLlmModelId", value)
}
/>
</Suspense>
))
.with([false, Pattern.any], [Pattern.any, false], () => (
<>
<Suspense fallback={<Skeleton height={50} />}>
<WllamaModelSelect
value={form.values.wllamaModelId}
onChange={(value) =>
form.setFieldValue("wllamaModelId", value)
}
/>
</Suspense>
<NumberInput
label="CPU threads to use"
description={
<>
<span>
Number of threads to use for the AI model. Lower
values will use less CPU but may take longer to
respond. A value that is too high may cause the app
to hang.
</span>
{suggestedCpuThreads > defaultSettings.cpuThreads && (
<span>
{" "}
The default value is{" "}
<Text
component="span"
size="xs"
c="blue"
style={{ cursor: "pointer" }}
onClick={() =>
form.setFieldValue(
"cpuThreads",
defaultSettings.cpuThreads,
)
}
>
{defaultSettings.cpuThreads}
</Text>
, but based on the number of logical processors in
your CPU, the suggested value is{" "}
<Text
component="span"
size="xs"
c="blue"
style={{ cursor: "pointer" }}
onClick={() =>
form.setFieldValue(
"cpuThreads",
suggestedCpuThreads,
)
}
>
{suggestedCpuThreads}
</Text>
.
</span>
)}
</>
}
min={1}
{...form.getInputProps("cpuThreads")}
/>
</>
))
.otherwise(() => null)}
</>
)}
<Textarea
label="Instructions for AI"
descriptionProps={{ component: "div" }}
description={
<>
<span>
Customize instructions for the AI to tailor its responses.
</span>
<br />
<span>For example:</span>
<ul>
<li>
Specify preferences
<ul>
<li>
<em>"use simple language"</em>
</li>
<li>
<em>"provide step-by-step explanations"</em>
</li>
</ul>
</li>
<li>
Set a response style
<ul>
<li>
<em>"answer in a friendly tone"</em>
</li>
<li>
<em>"write your response in Spanish"</em>
</li>
</ul>
</li>
<li>
Provide context about the audience
<ul>
<li>
<em>"you're talking to a high school student"</em>
</li>
<li>
<em>
"consider that your audience is composed of
professionals in the field of graphic design"
</em>
</li>
</ul>
</li>
</ul>
<span>
The special tag <em>{"{{searchResults}}"}</em> will be
replaced with the search results, while{" "}
<em>{"{{dateTime}}"}</em> will be replaced with the current
date and time.
</span>
{isUsingCustomInstructions && (
<>
<br />
<br />
<span>
Currently, you're using custom instructions. If you ever
need to restore the default instructions, you can do so by
clicking
</span>{" "}
<Text
component="span"
size="xs"
c="blue"
style={{ cursor: "pointer" }}
onClick={handleRestoreDefaultInstructions}
>
here
</Text>
<span>.</span>
</>
)}
</>
}
autosize
maxRows={10}
{...form.getInputProps("systemPrompt")}
/>
</>
)}
</Stack>
);
}
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