| import { Readable } from 'node:stream'; |
| import fetch from 'node-fetch'; |
| import express from 'express'; |
| import _ from 'lodash'; |
|
|
| import { |
| TEXTGEN_TYPES, |
| TOGETHERAI_KEYS, |
| OLLAMA_KEYS, |
| INFERMATICAI_KEYS, |
| OPENROUTER_KEYS, |
| VLLM_KEYS, |
| FEATHERLESS_KEYS, |
| OPENAI_KEYS, |
| } from '../../constants.js'; |
| import { forwardFetchResponse, trimV1, getConfigValue } from '../../util.js'; |
| import { setAdditionalHeaders } from '../../additional-headers.js'; |
| import { createHash } from 'node:crypto'; |
|
|
| export const router = express.Router(); |
|
|
| |
| |
| |
| |
| |
| |
| |
| async function parseOllamaStream(jsonStream, request, response) { |
| try { |
| if (!jsonStream.body) { |
| throw new Error('No body in the response'); |
| } |
|
|
| let partialData = ''; |
| jsonStream.body.on('data', (data) => { |
| const chunk = data.toString(); |
| partialData += chunk; |
| while (true) { |
| let json; |
| try { |
| json = JSON.parse(partialData); |
| } catch (e) { |
| break; |
| } |
| const text = json.response || ''; |
| const thinking = json.thinking || ''; |
| const chunk = { choices: [{ text, thinking }] }; |
| response.write(`data: ${JSON.stringify(chunk)}\n\n`); |
| partialData = ''; |
| } |
| }); |
|
|
| request.socket.on('close', function () { |
| if (jsonStream.body instanceof Readable) jsonStream.body.destroy(); |
| response.end(); |
| }); |
|
|
| jsonStream.body.on('end', () => { |
| console.info('Streaming request finished'); |
| response.write('data: [DONE]\n\n'); |
| response.end(); |
| }); |
| } catch (error) { |
| console.error('Error forwarding streaming response:', error); |
| if (!response.headersSent) { |
| return response.status(500).send({ error: true }); |
| } else { |
| return response.end(); |
| } |
| } |
| } |
|
|
| |
| |
| |
| |
| |
| |
| async function abortKoboldCppRequest(request, url) { |
| try { |
| console.info('Aborting Kobold generation...'); |
| const args = { |
| method: 'POST', |
| headers: {}, |
| }; |
|
|
| setAdditionalHeaders(request, args, url); |
| const abortResponse = await fetch(`${url}/api/extra/abort`, args); |
|
|
| if (!abortResponse.ok) { |
| console.error('Error sending abort request to Kobold:', abortResponse.status, abortResponse.statusText); |
| } |
| } catch (error) { |
| console.error(error); |
| } |
| } |
|
|
| |
| router.post('/status', async function (request, response) { |
| if (!request.body) return response.sendStatus(400); |
|
|
| try { |
| if (request.body.api_server.indexOf('localhost') !== -1) { |
| request.body.api_server = request.body.api_server.replace('localhost', '127.0.0.1'); |
| } |
|
|
| console.debug('Trying to connect to API', request.body); |
| const baseUrl = trimV1(request.body.api_server); |
|
|
| const args = { |
| headers: { 'Content-Type': 'application/json' }, |
| }; |
|
|
| setAdditionalHeaders(request, args, baseUrl); |
|
|
| const apiType = request.body.api_type; |
| let url = baseUrl; |
| let result = ''; |
|
|
| switch (apiType) { |
| case TEXTGEN_TYPES.GENERIC: |
| case TEXTGEN_TYPES.OOBA: |
| case TEXTGEN_TYPES.VLLM: |
| case TEXTGEN_TYPES.APHRODITE: |
| case TEXTGEN_TYPES.KOBOLDCPP: |
| case TEXTGEN_TYPES.LLAMACPP: |
| case TEXTGEN_TYPES.INFERMATICAI: |
| case TEXTGEN_TYPES.OPENROUTER: |
| case TEXTGEN_TYPES.FEATHERLESS: |
| url += '/v1/models'; |
| break; |
| case TEXTGEN_TYPES.DREAMGEN: |
| url += '/api/openai/v1/models'; |
| break; |
| case TEXTGEN_TYPES.MANCER: |
| url += '/oai/v1/models'; |
| break; |
| case TEXTGEN_TYPES.TABBY: |
| url += '/v1/model/list'; |
| break; |
| case TEXTGEN_TYPES.TOGETHERAI: |
| url += '/api/models?&info'; |
| break; |
| case TEXTGEN_TYPES.OLLAMA: |
| url += '/api/tags'; |
| break; |
| case TEXTGEN_TYPES.HUGGINGFACE: |
| url += '/info'; |
| break; |
| } |
|
|
| const modelsReply = await fetch(url, args); |
| const isPossiblyLmStudio = modelsReply.headers.get('x-powered-by') === 'Express'; |
|
|
| if (!modelsReply.ok) { |
| console.error('Models endpoint is offline.'); |
| return response.sendStatus(400); |
| } |
|
|
| |
| let data = await modelsReply.json(); |
|
|
| |
| if (apiType === TEXTGEN_TYPES.TOGETHERAI && Array.isArray(data)) { |
| data = { data: data.map(x => ({ id: x.name, ...x })) }; |
| } |
|
|
| if (apiType === TEXTGEN_TYPES.OLLAMA && Array.isArray(data.models)) { |
| data = { data: data.models.map(x => ({ id: x.name, ...x })) }; |
| } |
|
|
| if (apiType === TEXTGEN_TYPES.HUGGINGFACE) { |
| data = { data: [] }; |
| } |
|
|
| if (!Array.isArray(data.data)) { |
| console.error('Models response is not an array.'); |
| return response.sendStatus(400); |
| } |
|
|
| const modelIds = data.data.map(x => x.id); |
| console.info('Models available:', modelIds); |
|
|
| |
| result = modelIds[0] || 'Valid'; |
|
|
| if (apiType === TEXTGEN_TYPES.OOBA && !isPossiblyLmStudio) { |
| try { |
| const modelInfoUrl = baseUrl + '/v1/internal/model/info'; |
| const modelInfoReply = await fetch(modelInfoUrl, args); |
|
|
| if (modelInfoReply.ok) { |
| |
| const modelInfo = await modelInfoReply.json(); |
| console.debug('Ooba model info:', modelInfo); |
|
|
| const modelName = modelInfo?.model_name; |
| result = modelName || result; |
| response.setHeader('x-supports-tokenization', 'true'); |
| } |
| } catch (error) { |
| console.error(`Failed to get Ooba model info: ${error}`); |
| } |
| } else if (apiType === TEXTGEN_TYPES.TABBY) { |
| try { |
| const modelInfoUrl = baseUrl + '/v1/model'; |
| const modelInfoReply = await fetch(modelInfoUrl, args); |
|
|
| if (modelInfoReply.ok) { |
| |
| const modelInfo = await modelInfoReply.json(); |
| console.debug('Tabby model info:', modelInfo); |
|
|
| const modelName = modelInfo?.id; |
| result = modelName || result; |
| } else { |
| |
|
|
| result = 'None'; |
| } |
| } catch (error) { |
| console.error(`Failed to get TabbyAPI model info: ${error}`); |
| } |
| } |
|
|
| return response.send({ result, data: data.data }); |
| } catch (error) { |
| console.error(error); |
| return response.sendStatus(500); |
| } |
| }); |
|
|
| router.post('/props', async function (request, response) { |
| if (!request.body.api_server) return response.sendStatus(400); |
|
|
| try { |
| const baseUrl = trimV1(request.body.api_server); |
| const args = { |
| headers: {}, |
| }; |
|
|
| setAdditionalHeaders(request, args, baseUrl); |
|
|
| const apiType = request.body.api_type; |
| let propsUrl = baseUrl + '/props'; |
| if (apiType === TEXTGEN_TYPES.LLAMACPP && request.body.model) { |
| propsUrl += `?model=${encodeURIComponent(request.body.model)}`; |
| console.debug(`Querying llama-server props with model parameter: ${request.body.model}`); |
| } |
| const propsReply = await fetch(propsUrl, args); |
|
|
| if (!propsReply.ok) { |
| return response.sendStatus(400); |
| } |
|
|
| |
| const props = await propsReply.json(); |
| |
| if (apiType === TEXTGEN_TYPES.LLAMACPP && props['chat_template'] && props['chat_template'].endsWith('\u0000')) { |
| props['chat_template'] = props['chat_template'].slice(0, -1) + '\n'; |
| } |
| props['chat_template_hash'] = createHash('sha256').update(props['chat_template']).digest('hex'); |
| console.debug(`Model properties: ${JSON.stringify(props)}`); |
| return response.send(props); |
| } catch (error) { |
| console.error(error); |
| return response.sendStatus(500); |
| } |
| }); |
|
|
| router.post('/generate', async function (request, response) { |
| if (!request.body) return response.sendStatus(400); |
|
|
| try { |
| if (request.body.api_server.indexOf('localhost') !== -1) { |
| request.body.api_server = request.body.api_server.replace('localhost', '127.0.0.1'); |
| } |
|
|
| const apiType = request.body.api_type; |
| const baseUrl = request.body.api_server; |
| console.debug(request.body); |
|
|
| const controller = new AbortController(); |
| request.socket.removeAllListeners('close'); |
| request.socket.on('close', async function () { |
| if (request.body.api_type === TEXTGEN_TYPES.KOBOLDCPP && !response.writableEnded) { |
| await abortKoboldCppRequest(request, trimV1(baseUrl)); |
| } |
|
|
| controller.abort(); |
| }); |
|
|
| let url = trimV1(baseUrl); |
|
|
| switch (request.body.api_type) { |
| case TEXTGEN_TYPES.GENERIC: |
| case TEXTGEN_TYPES.VLLM: |
| case TEXTGEN_TYPES.FEATHERLESS: |
| case TEXTGEN_TYPES.APHRODITE: |
| case TEXTGEN_TYPES.OOBA: |
| case TEXTGEN_TYPES.TABBY: |
| case TEXTGEN_TYPES.KOBOLDCPP: |
| case TEXTGEN_TYPES.TOGETHERAI: |
| case TEXTGEN_TYPES.INFERMATICAI: |
| case TEXTGEN_TYPES.HUGGINGFACE: |
| url += '/v1/completions'; |
| break; |
| case TEXTGEN_TYPES.DREAMGEN: |
| url += '/api/openai/v1/completions'; |
| break; |
| case TEXTGEN_TYPES.MANCER: |
| url += '/oai/v1/completions'; |
| break; |
| case TEXTGEN_TYPES.LLAMACPP: |
| url += '/completion'; |
| break; |
| case TEXTGEN_TYPES.OLLAMA: |
| url += '/api/generate'; |
| break; |
| case TEXTGEN_TYPES.OPENROUTER: |
| url += '/v1/chat/completions'; |
| break; |
| } |
|
|
| const args = { |
| method: 'POST', |
| body: JSON.stringify(request.body), |
| headers: { 'Content-Type': 'application/json' }, |
| signal: controller.signal, |
| timeout: 0, |
| }; |
|
|
| setAdditionalHeaders(request, args, baseUrl); |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.TOGETHERAI) { |
| request.body = _.pickBy(request.body, (_, key) => TOGETHERAI_KEYS.includes(key)); |
| args.body = JSON.stringify(request.body); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.INFERMATICAI) { |
| request.body = _.pickBy(request.body, (_, key) => INFERMATICAI_KEYS.includes(key)); |
| args.body = JSON.stringify(request.body); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.FEATHERLESS) { |
| request.body = _.pickBy(request.body, (_, key) => FEATHERLESS_KEYS.includes(key)); |
| args.body = JSON.stringify(request.body); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.DREAMGEN) { |
| args.body = JSON.stringify(request.body); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.GENERIC) { |
| request.body = _.pickBy(request.body, (_, key) => OPENAI_KEYS.includes(key)); |
| if (Array.isArray(request.body.stop)) { request.body.stop = request.body.stop.slice(0, 4); } |
| args.body = JSON.stringify(request.body); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.OPENROUTER) { |
| if (Array.isArray(request.body.provider) && request.body.provider.length > 0) { |
| request.body.provider = { |
| allow_fallbacks: request.body.allow_fallbacks ?? true, |
| order: request.body.provider, |
| }; |
| } else { |
| delete request.body.provider; |
| } |
| request.body = _.pickBy(request.body, (_, key) => OPENROUTER_KEYS.includes(key)); |
| args.body = JSON.stringify(request.body); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.VLLM) { |
| request.body = _.pickBy(request.body, (_, key) => VLLM_KEYS.includes(key)); |
| args.body = JSON.stringify(request.body); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.OLLAMA) { |
| const keepAlive = Number(getConfigValue('ollama.keepAlive', -1, 'number')); |
| const numBatch = Number(getConfigValue('ollama.batchSize', -1, 'number')); |
| if (numBatch > 0) { |
| request.body['num_batch'] = numBatch; |
| } |
| args.body = JSON.stringify({ |
| model: request.body.model, |
| prompt: request.body.prompt, |
| stream: request.body.stream ?? false, |
| keep_alive: keepAlive, |
| raw: true, |
| options: _.pickBy(request.body, (_, key) => OLLAMA_KEYS.includes(key)), |
| }); |
| } |
|
|
| if (request.body.api_type === TEXTGEN_TYPES.OLLAMA && request.body.stream) { |
| const stream = await fetch(url, args); |
| parseOllamaStream(stream, request, response); |
| } else if (request.body.stream) { |
| const completionsStream = await fetch(url, args); |
| |
| forwardFetchResponse(completionsStream, response); |
| } |
| else { |
| const completionsReply = await fetch(url, args); |
|
|
| if (completionsReply.ok) { |
| |
| const data = await completionsReply.json(); |
| console.debug('Endpoint response:', data); |
|
|
| |
| if (apiType === TEXTGEN_TYPES.INFERMATICAI) { |
| data['choices'] = (data?.choices || []).map(choice => ({ text: choice?.message?.content || choice.text, logprobs: choice?.logprobs, index: choice?.index })); |
| } |
|
|
| return response.send(data); |
| } else { |
| const text = await completionsReply.text(); |
| const errorBody = { error: true, status: completionsReply.status, response: text }; |
|
|
| return !response.headersSent |
| ? response.send(errorBody) |
| : response.end(); |
| } |
| } |
| } catch (error) { |
| const status = error?.status ?? error?.code ?? 'UNKNOWN'; |
| const text = error?.error ?? error?.statusText ?? error?.message ?? 'Unknown error on /generate endpoint'; |
| let value = { error: true, status: status, response: text }; |
| console.error('Endpoint error:', error); |
|
|
| return !response.headersSent |
| ? response.send(value) |
| : response.end(); |
| } |
| }); |
|
|
| const ollama = express.Router(); |
|
|
| ollama.post('/download', async function (request, response) { |
| try { |
| if (!request.body.name || !request.body.api_server) return response.sendStatus(400); |
|
|
| const name = request.body.name; |
| const url = String(request.body.api_server).replace(/\/$/, ''); |
| console.debug('Pulling Ollama model:', name); |
|
|
| const fetchResponse = await fetch(`${url}/api/pull`, { |
| method: 'POST', |
| headers: { 'Content-Type': 'application/json' }, |
| body: JSON.stringify({ |
| name: name, |
| stream: false, |
| }), |
| }); |
|
|
| if (!fetchResponse.ok) { |
| console.error('Download error:', fetchResponse.status, fetchResponse.statusText); |
| return response.status(500).send({ error: true }); |
| } |
|
|
| console.debug('Ollama pull response:', await fetchResponse.json()); |
| return response.send({ ok: true }); |
| } catch (error) { |
| console.error(error); |
| return response.sendStatus(500); |
| } |
| }); |
|
|
| ollama.post('/caption-image', async function (request, response) { |
| try { |
| if (!request.body.server_url || !request.body.model) { |
| return response.sendStatus(400); |
| } |
|
|
| console.debug('Ollama caption request:', request.body); |
| const baseUrl = trimV1(request.body.server_url); |
|
|
| const fetchResponse = await fetch(`${baseUrl}/api/generate`, { |
| method: 'POST', |
| headers: { 'Content-Type': 'application/json' }, |
| body: JSON.stringify({ |
| model: request.body.model, |
| prompt: request.body.prompt, |
| images: [request.body.image], |
| stream: false, |
| }), |
| }); |
|
|
| if (!fetchResponse.ok) { |
| const errorText = await fetchResponse.text(); |
| console.error('Ollama caption error:', fetchResponse.status, fetchResponse.statusText, errorText); |
| return response.status(500).send({ error: true }); |
| } |
|
|
| |
| const data = await fetchResponse.json(); |
| console.debug('Ollama caption response:', data); |
|
|
| const caption = data?.response || ''; |
|
|
| if (!caption) { |
| console.error('Ollama caption is empty.'); |
| return response.status(500).send({ error: true }); |
| } |
|
|
| return response.send({ caption }); |
| } catch (error) { |
| console.error(error); |
| return response.sendStatus(500); |
| } |
| }); |
|
|
| const llamacpp = express.Router(); |
|
|
| llamacpp.post('/props', async function (request, response) { |
| try { |
| if (!request.body.server_url) { |
| return response.sendStatus(400); |
| } |
|
|
| console.debug('LlamaCpp props request:', request.body); |
| const baseUrl = trimV1(request.body.server_url); |
|
|
| const fetchResponse = await fetch(`${baseUrl}/props`, { |
| method: 'GET', |
| }); |
|
|
| if (!fetchResponse.ok) { |
| console.error('LlamaCpp props error:', fetchResponse.status, fetchResponse.statusText); |
| return response.status(500).send({ error: true }); |
| } |
|
|
| const data = await fetchResponse.json(); |
| console.debug('LlamaCpp props response:', data); |
|
|
| return response.send(data); |
|
|
| } catch (error) { |
| console.error(error); |
| return response.sendStatus(500); |
| } |
| }); |
|
|
| llamacpp.post('/slots', async function (request, response) { |
| try { |
| if (!request.body.server_url) { |
| return response.sendStatus(400); |
| } |
| if (!/^(erase|info|restore|save)$/.test(request.body.action)) { |
| return response.sendStatus(400); |
| } |
|
|
| console.debug('LlamaCpp slots request:', request.body); |
| const baseUrl = trimV1(request.body.server_url); |
|
|
| let fetchResponse; |
| if (request.body.action === 'info') { |
| fetchResponse = await fetch(`${baseUrl}/slots`, { |
| method: 'GET', |
| }); |
| } else { |
| if (!/^\d+$/.test(request.body.id_slot)) { |
| return response.sendStatus(400); |
| } |
| if (request.body.action !== 'erase' && !request.body.filename) { |
| return response.sendStatus(400); |
| } |
|
|
| fetchResponse = await fetch(`${baseUrl}/slots/${request.body.id_slot}?action=${request.body.action}`, { |
| method: 'POST', |
| headers: { 'Content-Type': 'application/json' }, |
| body: JSON.stringify({ |
| filename: request.body.action !== 'erase' ? `${request.body.filename}` : undefined, |
| }), |
| }); |
| } |
|
|
| if (!fetchResponse.ok) { |
| console.error('LlamaCpp slots error:', fetchResponse.status, fetchResponse.statusText); |
| return response.status(500).send({ error: true }); |
| } |
|
|
| const data = await fetchResponse.json(); |
| console.debug('LlamaCpp slots response:', data); |
|
|
| return response.send(data); |
|
|
| } catch (error) { |
| console.error(error); |
| return response.sendStatus(500); |
| } |
| }); |
|
|
| const tabby = express.Router(); |
|
|
| tabby.post('/download', async function (request, response) { |
| try { |
| const baseUrl = String(request.body.api_server).replace(/\/$/, ''); |
|
|
| const args = { |
| method: 'POST', |
| headers: { 'Content-Type': 'application/json' }, |
| body: JSON.stringify(request.body), |
| timeout: 0, |
| }; |
|
|
| setAdditionalHeaders(request, args, baseUrl); |
|
|
| |
| const permissionResponse = await fetch(`${baseUrl}/v1/auth/permission`, { |
| headers: args.headers, |
| }); |
|
|
| if (permissionResponse.ok) { |
| |
| const permissionJson = await permissionResponse.json(); |
|
|
| if (permissionJson['permission'] !== 'admin') { |
| return response.status(403).send({ error: true }); |
| } |
| } else { |
| console.error('API Permission error:', permissionResponse.status, permissionResponse.statusText); |
| return response.status(500).send({ error: true }); |
| } |
|
|
| const fetchResponse = await fetch(`${baseUrl}/v1/download`, args); |
|
|
| if (!fetchResponse.ok) { |
| console.error('Download error:', fetchResponse.status, fetchResponse.statusText); |
| return response.status(500).send({ error: true }); |
| } |
|
|
| return response.send({ ok: true }); |
| } catch (error) { |
| console.error(error); |
| return response.sendStatus(500); |
| } |
| }); |
|
|
| router.use('/ollama', ollama); |
| router.use('/llamacpp', llamacpp); |
| router.use('/tabby', tabby); |
|
|