File size: 7,749 Bytes
f8b5d42 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 | import { useEffect, useState } from "react";
import { Info, CaretDown, CaretUp } from "@phosphor-icons/react";
import paths from "@/utils/paths";
import System from "@/models/system";
import PreLoader from "@/components/Preloader";
import { LMSTUDIO_COMMON_URLS } from "@/utils/constants";
import useProviderEndpointAutoDiscovery from "@/hooks/useProviderEndpointAutoDiscovery";
export default function LMStudioOptions({ settings, showAlert = false }) {
const {
autoDetecting: loading,
basePath,
basePathValue,
showAdvancedControls,
setShowAdvancedControls,
handleAutoDetectClick,
} = useProviderEndpointAutoDiscovery({
provider: "lmstudio",
initialBasePath: settings?.LMStudioBasePath,
ENDPOINTS: LMSTUDIO_COMMON_URLS,
});
const [maxTokens, setMaxTokens] = useState(
settings?.LMStudioTokenLimit || 4096
);
const handleMaxTokensChange = (e) => {
setMaxTokens(Number(e.target.value));
};
return (
<div className="w-full flex flex-col gap-y-7">
{showAlert && (
<div className="flex flex-col md:flex-row md:items-center gap-x-2 text-white mb-6 bg-blue-800/30 w-fit rounded-lg px-4 py-2">
<div className="gap-x-2 flex items-center">
<Info size={12} className="hidden md:visible" />
<p className="text-sm md:text-base">
LMStudio as your LLM requires you to set an embedding service to
use.
</p>
</div>
<a
href={paths.settings.embedder.modelPreference()}
className="text-sm md:text-base my-2 underline"
>
Manage embedding →
</a>
</div>
)}
<div className="w-full flex items-start gap-[36px] mt-1.5">
<LMStudioModelSelection settings={settings} basePath={basePath.value} />
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-2">
Max Tokens
</label>
<input
type="number"
name="LMStudioTokenLimit"
className="border-none bg-theme-settings-input-bg text-white placeholder:text-theme-settings-input-placeholder text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
placeholder="4096"
defaultChecked="4096"
min={1}
value={maxTokens}
onChange={handleMaxTokensChange}
onScroll={(e) => e.target.blur()}
required={true}
autoComplete="off"
/>
<p className="text-xs leading-[18px] font-base text-white text-opacity-60 mt-2">
Maximum number of tokens for context and response.
</p>
</div>
</div>
<div className="flex justify-start mt-4">
<button
onClick={(e) => {
e.preventDefault();
setShowAdvancedControls(!showAdvancedControls);
}}
className="border-none text-theme-text-primary hover:text-theme-text-secondary flex items-center text-sm"
>
{showAdvancedControls ? "Hide" : "Show"} Manual Endpoint Input
{showAdvancedControls ? (
<CaretUp size={14} className="ml-1" />
) : (
<CaretDown size={14} className="ml-1" />
)}
</button>
</div>
<div hidden={!showAdvancedControls}>
<div className="w-full flex items-start gap-4">
<div className="flex flex-col w-60">
<div className="flex justify-between items-center mb-2">
<label className="text-white text-sm font-semibold">
LM Studio Base URL
</label>
{loading ? (
<PreLoader size="6" />
) : (
<>
{!basePathValue.value && (
<button
onClick={handleAutoDetectClick}
className="bg-primary-button text-xs font-medium px-2 py-1 rounded-lg hover:bg-secondary hover:text-white shadow-[0_4px_14px_rgba(0,0,0,0.25)]"
>
Auto-Detect
</button>
)}
</>
)}
</div>
<input
type="url"
name="LMStudioBasePath"
className="border-none bg-theme-settings-input-bg text-white placeholder:text-theme-settings-input-placeholder text-sm rounded-lg focus:outline-primary-button active:outline-primary-button outline-none block w-full p-2.5"
placeholder="http://localhost:1234/v1"
value={basePathValue.value}
required={true}
autoComplete="off"
spellCheck={false}
onChange={basePath.onChange}
onBlur={basePath.onBlur}
/>
<p className="text-xs leading-[18px] font-base text-white text-opacity-60 mt-2">
Enter the URL where LM Studio is running.
</p>
</div>
</div>
</div>
</div>
);
}
function LMStudioModelSelection({ settings, basePath = null }) {
const [customModels, setCustomModels] = useState([]);
const [loading, setLoading] = useState(true);
useEffect(() => {
async function findCustomModels() {
if (!basePath) {
setCustomModels([]);
setLoading(false);
return;
}
setLoading(true);
try {
const { models } = await System.customModels(
"lmstudio",
null,
basePath
);
setCustomModels(models || []);
} catch (error) {
console.error("Failed to fetch custom models:", error);
setCustomModels([]);
}
setLoading(false);
}
findCustomModels();
}, [basePath]);
if (loading || customModels.length == 0) {
return (
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-2">
LM Studio Model
</label>
<select
name="LMStudioModelPref"
disabled={true}
className="border-none bg-theme-settings-input-bg border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
>
<option disabled={true} selected={true}>
{!!basePath
? "--loading available models--"
: "Enter LM Studio URL first"}
</option>
</select>
<p className="text-xs leading-[18px] font-base text-white text-opacity-60 mt-2">
Select the LM Studio model you want to use. Models will load after
entering a valid LM Studio URL.
</p>
</div>
);
}
return (
<div className="flex flex-col w-60">
<label className="text-white text-sm font-semibold block mb-2">
LM Studio Model
</label>
<select
name="LMStudioModelPref"
required={true}
className="border-none bg-theme-settings-input-bg border-gray-500 text-white text-sm rounded-lg block w-full p-2.5"
>
{customModels.length > 0 && (
<optgroup label="Your loaded models">
{customModels.map((model) => {
return (
<option
key={model.id}
value={model.id}
selected={settings.LMStudioModelPref === model.id}
>
{model.id}
</option>
);
})}
</optgroup>
)}
</select>
<p className="text-xs leading-[18px] font-base text-white text-opacity-60 mt-2">
Choose the LM Studio model you want to use for your conversations.
</p>
</div>
);
}
|