File size: 11,109 Bytes
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import { ProviderId } from '@/lib/llm/providers/types';
import { getProvider } from '@/lib/llm/providers/registry';
import { assertPublicHttpUrl } from '@/lib/llm/providers/url-safety';
import { logger } from '@/lib/utils';
export async function POST(request: NextRequest) {
try {
const { apiKey, provider, baseUrl: requestBaseUrl } = await request.json();
if (!provider) {
return NextResponse.json(
{ error: 'Provider is required' },
{ status: 400 }
);
}
const providerConfig = getProvider(provider as ProviderId);
const customBaseUrl = requestBaseUrl;
const effectiveBaseUrl = customBaseUrl || providerConfig.baseUrl;
// Custom endpoints are external-only: reject loopback/private/non-http URLs. Built-in
// local providers (Ollama/LM Studio/llama.cpp) legitimately point at localhost and are
// exempt. On hosted instances, network egress filtering blocks DNS-rebinding past this.
if (customBaseUrl && !providerConfig.isLocal) assertPublicHttpUrl(customBaseUrl);
// If no API key but required (and not OAuth), return empty array
if (providerConfig.apiKeyRequired && !apiKey && !providerConfig.usesOAuth) {
return NextResponse.json({ models: [] });
}
let models: Array<string | { id: string; contextLength?: number; inputModalities?: string[] }> = [];
try {
switch (provider) {
case 'openrouter':
const orResponse = await fetch('https://openrouter.ai/api/v1/models', {
headers: {
'Authorization': `Bearer ${apiKey}`,
'HTTP-Referer': request.headers.get('referer') || 'http://localhost:3000',
'X-Title': 'OSW-Studio'
}
});
if (orResponse.ok) {
const orData = await orResponse.json();
models = orData.data
?.filter((model: { id: string }) =>
model.id.includes('deepseek') ||
model.id.includes('qwen') ||
model.id.includes('claude') ||
model.id.includes('gpt') ||
model.id.includes('llama')
)
?.map((model: { id: string; context_length: number; architecture?: { input_modalities?: string[] } }) => ({
id: model.id,
contextLength: model.context_length,
inputModalities: model.architecture?.input_modalities,
})) || [];
}
break;
case 'anthropic':
const anthropicResponse = await fetch('https://api.anthropic.com/v1/models', {
headers: {
'x-api-key': apiKey,
'anthropic-version': '2023-06-01'
}
});
if (anthropicResponse.ok) {
const anthropicData = await anthropicResponse.json();
models = anthropicData.data?.map((model: { id: string; capabilities?: Record<string, { supported?: boolean }> }) => {
const modalities: string[] = ['text'];
if (model.capabilities?.image_input?.supported) modalities.push('image');
return { id: model.id, inputModalities: modalities };
}) || [];
}
break;
case 'openai':
case 'openai-codex':
const openaiResponse = await fetch('https://api.openai.com/v1/models', {
headers: {
'Authorization': `Bearer ${apiKey}`
}
});
if (openaiResponse.ok) {
const openaiData = await openaiResponse.json();
models = openaiData.data?.map((model: { id: string }) => model.id) || [];
}
break;
case 'groq':
const groqResponse = await fetch('https://api.groq.com/openai/v1/models', {
headers: {
'Authorization': `Bearer ${apiKey}`
}
});
if (groqResponse.ok) {
const groqData = await groqResponse.json();
models = groqData.data?.map((model: { id: string }) => model.id) || [];
}
break;
case 'ollama':
try {
// Use Ollama's native API endpoint for model discovery
// 127.0.0.1, not localhost: Node may resolve localhost to IPv6 (::1)
// while local servers bind IPv4 only — that yields ECONNREFUSED.
const ollamaResponse = await fetch(`http://127.0.0.1:11434/api/tags`);
if (ollamaResponse.ok) {
const ollamaData = await ollamaResponse.json();
// Ollama returns models array directly in the response
models = ollamaData.models?.map((m: any) => m.name) || [];
}
} catch (error) {
logger.debug('Ollama models fetch failed (server not running?):', error);
}
break;
case 'lmstudio':
try {
// LM Studio REST API returns capabilities (vision, tool_use)
// Force IPv4 — localhost can resolve to ::1 where the server isn't bound.
const lmsRestUrl = (providerConfig.baseUrl?.replace('/v1', '') || 'http://localhost:1234').replace('localhost', '127.0.0.1');
const lmsResponse = await fetch(`${lmsRestUrl}/api/v1/models`);
if (lmsResponse.ok) {
const lmsData = await lmsResponse.json();
// LM Studio's /api/v1/models returns { models: [{ key, type, capabilities }] };
// the OpenAI-compat shape (older builds / fallback) is { data: [{ id }] }.
const lmsModels = Array.isArray(lmsData) ? lmsData : (lmsData.models || lmsData.data || []);
models = lmsModels
.filter((m: any) => !String(m.type ?? '').startsWith('embed'))
.map((m: any) => {
const modalities: string[] = ['text'];
if (m.capabilities?.vision) modalities.push('image');
return { id: m.key || m.id, inputModalities: modalities };
});
}
} catch (error) {
logger.debug('LM Studio models fetch failed (server not running?):', error);
}
break;
case 'llamacpp':
case 'meshllm':
try {
const lmResponse = await fetch(`${providerConfig.baseUrl?.replace('localhost', '127.0.0.1')}/models`);
if (lmResponse.ok) {
const lmData = await lmResponse.json();
models = lmData.data?.map((m: any) => m.id) || [];
}
} catch (error) {
logger.debug(`${provider} models fetch failed (server not running?):`, error);
}
break;
case 'gemini':
const geminiResponse = await fetch(
`https://generativelanguage.googleapis.com/v1beta/models?pageSize=100&key=${apiKey}`
);
if (geminiResponse.ok) {
const geminiData = await geminiResponse.json();
models = (geminiData.models || [])
.filter((m: any) =>
m.supportedGenerationMethods?.includes('generateContent') &&
/gemini/i.test(m.name)
)
.map((m: any) => ({
id: m.name.replace('models/', ''),
contextLength: m.inputTokenLimit,
inputModalities: m.supportedGenerationMethods?.includes('generateContent')
? ['text', 'image'] : ['text'],
}));
}
break;
case 'huggingface':
try {
const hfHeaders: Record<string, string> = {};
if (apiKey) {
hfHeaders['Authorization'] = `Bearer ${apiKey}`;
}
const hfResponse = await fetch('https://router.huggingface.co/v1/models', {
headers: hfHeaders,
});
if (hfResponse.ok) {
const hfData = await hfResponse.json();
models = hfData.data?.map((m: any) => ({
id: m.id,
inputModalities: m.architecture?.input_modalities,
})) || [];
}
} catch (error) {
logger.error('HuggingFace models fetch error:', error);
}
break;
case 'opencode-go': {
const mdResp = await fetch('https://models.dev/api.json');
if (mdResp.ok) {
const mdData = await mdResp.json();
const ocg = (mdData['opencode-go']?.models ?? {}) as Record<string, any>;
models = Object.values(ocg)
.filter((m: any) => m.status !== 'deprecated')
.map((m: any) => ({
id: m.id,
contextLength: m.limit?.context,
inputModalities: m.modalities?.input,
}));
}
break;
}
default:
// For other OpenAI-compatible providers (including custom ones)
if (effectiveBaseUrl) {
const headers: Record<string, string> = {};
if (apiKey) {
headers['Authorization'] = `Bearer ${apiKey}`;
}
const defaultResponse = await fetch(`${effectiveBaseUrl}/models`, { headers });
const responseText = await defaultResponse.text();
if (defaultResponse.ok) {
try {
const defaultData = JSON.parse(responseText);
// OpenAI-compatible shape: { data: [...] }. Some providers use { models: [...] }
// or a plain array. Each entry may be a string id or an object with id/name/model.
const list = Array.isArray(defaultData)
? defaultData
: (defaultData.data || defaultData.models || defaultData.list || []);
models = list
.map((m: any) => (typeof m === 'string' ? m : (m.id || m.model || m.name || m.model_id || m.slug)))
.filter(Boolean);
if (models.length === 0) {
logger.warn(`[models] ${provider} /models returned no recognizable models`);
logger.debug(`[models] ${provider} raw response:`, responseText.slice(0, 300));
}
} catch {
logger.warn(`[models] ${provider} /models returned non-JSON`);
logger.debug(`[models] ${provider} raw response:`, responseText.slice(0, 300));
}
} else {
logger.warn(`[models] ${provider} /models returned HTTP ${defaultResponse.status}`);
logger.debug(`[models] ${provider} raw response:`, responseText.slice(0, 300));
}
}
break;
}
} catch (error) {
logger.error(`Error fetching models for ${provider}:`, error);
// Fall back to hardcoded models if available
if (providerConfig.models) {
models = providerConfig.models.map(m => m.id);
}
}
return NextResponse.json({ models });
} catch (error) {
logger.error('Models API error:', error);
return NextResponse.json({ models: [] });
}
}
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